From 9397c232b8bc3d8ba91b9c82dc03c8c639e85e15 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 9 Aug 2016 14:57:39 +1000
Subject: [PATCH 0001/1660] Add TrueSkill

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 2e94de8d..7fc50f1b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -33,6 +33,7 @@ RUN pip install --upgrade mpld3 && \
     pip install git+https://github.com/tflearn/tflearn.git && \
     pip install fitter && \
     pip install langid && \
+    pip install trueskill && \
     # Delorean. Useful for dealing with datetime
     pip install delorean
 

From 1a86017247a5cefcc2010b6f00239cd69343ef9f Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Wed, 17 Aug 2016 07:35:58 +1000
Subject: [PATCH 0002/1660] Add heamy package

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 342af278..8cc82bcc 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -31,5 +31,6 @@ RUN pip install --upgrade mpld3 && \
     # tflean. Deep learning library featuring a higher-level API for TensorFlow. http://tflearn.org
     pip install git+https://github.com/tflearn/tflearn.git && \
     pip install fitter && \
-    pip install langid
+    pip install langid && \
+    pip install heamy
 

From 5c2a255d9fc4af461726c204d30b8c8868b62c56 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Fri, 19 Aug 2016 13:00:00 +1000
Subject: [PATCH 0003/1660] Add vida library

---
 Dockerfile | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 9fcac86d..3b2728ab 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -36,6 +36,8 @@ RUN pip install --upgrade mpld3 && \
     # Delorean. Useful for dealing with datetime
     pip install delorean && \
     pip install trueskill && \
-    pip install heamy
+    pip install heamy && \
+    pip install vida
+
 
 

From 1aa4706a9a2fd9093db516bc9148ee2906f3026d Mon Sep 17 00:00:00 2001
From: Florian Geigl <florian.geigl@tugraz.at>
Date: Fri, 19 Aug 2016 18:22:08 -0700
Subject: [PATCH 0004/1660] Reduce the size of the final docker image

deleting various temporary/source files and clean up cache
---
 Dockerfile | 10 ++++++++--
 1 file changed, 8 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 3b2728ab..b3bc80c9 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -6,7 +6,11 @@ RUN cd /usr/local/src && git clone https://github.com/scikit-learn/scikit-learn.
     # HDF5 support
     conda install h5py && \
     # https://github.com/biopython/biopython
-    pip install biopython
+    pip install biopython && \
+    # clean up
+    rm -rf /usr/local/src/* && \
+    conda clean -i -l -t -y && \
+    rm -rf /root/.cache/pip/*
 
     ###########
     #
@@ -37,7 +41,9 @@ RUN pip install --upgrade mpld3 && \
     pip install delorean && \
     pip install trueskill && \
     pip install heamy && \
-    pip install vida
+    pip install vida && \
+    # clean up pip cache
+    rm -rf /root/.cache/pip/*
 
 
 

From 30bea5e5874c9d7c17ce3e95227cb3c91ff93931 Mon Sep 17 00:00:00 2001
From: Yassine Alouini <yassine.alouini@qucit.com>
Date: Sun, 21 Aug 2016 08:31:17 +0200
Subject: [PATCH 0005/1660] Add two Python packages for data exploration

* The `missingno` package is nice to explore missing data.

Example:
```
import missingno as msno
msno.matrix(your_df)
```
* The `pandas_profiling` package is nice for generating data reports (% of missing values, correlated variables,
types of variables, histograms...)

Example:
 ```
import pandas_profiling as pdp
pdp.ProfileReport(your_df)
```
---
 Dockerfile | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 3b2728ab..9da95310 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -37,7 +37,9 @@ RUN pip install --upgrade mpld3 && \
     pip install delorean && \
     pip install trueskill && \
     pip install heamy && \
-    pip install vida
-
+    pip install vida && \
+    # Useful data exploration libraries (for missing data and generating reports)
+    pip install missingno && \
+    pip install pandas-profiling
 
 

From 1d946276fa8fa72e27c5adb86d51c02111261760 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 29 Aug 2016 14:12:20 +1000
Subject: [PATCH 0006/1660] Add s2sphere

---
 Dockerfile | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 9da95310..c881731e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -40,6 +40,8 @@ RUN pip install --upgrade mpld3 && \
     pip install vida && \
     # Useful data exploration libraries (for missing data and generating reports)
     pip install missingno && \
-    pip install pandas-profiling
+    pip install pandas-profiling && \
+    pip install s2sphere
+
 
 

From de08b18441ec51dd865720e286263953826e1382 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Thu, 8 Sep 2016 20:45:43 +1000
Subject: [PATCH 0007/1660] Merge python container into one build stage

---
 Dockerfile | 196 +++++++++++++++++++++++++++++++++++++++++++++++++++--
 1 file changed, 190 insertions(+), 6 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index c881731e..c7f3bd8a 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,12 +1,199 @@
-FROM kaggle/python3:latest
+FROM continuumio/anaconda3:latest
 
+RUN apt-get update && apt-get install -y build-essential && \
+    cd /usr/local/src && \
+    # https://github.com/tensorflow/tensorflow/issues/64#issuecomment-155270240
+    # Why does this work, when `pip install tensorflow` fails? It is a mystery
+    wget https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.10.0rc0-cp35-cp35m-linux_x86_64.whl && \
+    pip install tensorflow-0.10.0rc0-cp35-cp35m-linux_x86_64.whl  && \
+    # Vowpal Rabbit
+    apt-get install -y libboost-program-options-dev zlib1g-dev libboost-python-dev && \
+    cd /usr/lib/x86_64-linux-gnu/ && rm -f libboost_python.a && rm -f libboost_python.so && \ 
+    ln -sf libboost_python-py34.so libboost_python.so && ln -sf libboost_python-py34.a libboost_python.a && \
+    pip install vowpalwabbit && \
+    pip install seaborn python-dateutil spacy dask pytagcloud pyyaml ggplot joblib \
+    husl geopy ml_metrics mne pyshp gensim && \
+    # The apt-get version of imagemagick is out of date and has compatibility issues, so we build from source
+    apt-get -y install dbus fontconfig fontconfig-config fonts-dejavu-core fonts-droid ghostscript gsfonts hicolor-icon-theme \
+  libavahi-client3 libavahi-common-data libavahi-common3 libcairo2 libcap-ng0 libcroco3 \
+  libcups2 libcupsfilters1 libcupsimage2 libdatrie1 libdbus-1-3 libdjvulibre-text libdjvulibre21 libfftw3-double3 libfontconfig1 \
+  libfreetype6 libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-common libgomp1 libgraphite2-3 libgs9 libgs9-common libharfbuzz0b libijs-0.35 \
+  libilmbase6 libjasper1 libjbig0 libjbig2dec0 libjpeg62-turbo liblcms2-2 liblqr-1-0 libltdl7 libmagickcore-6.q16-2 \
+  libmagickcore-6.q16-2-extra libmagickwand-6.q16-2 libnetpbm10 libopenexr6 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 \
+  libpaper-utils libpaper1 libpixman-1-0 libpng12-0 librsvg2-2 librsvg2-common libthai-data libthai0 libtiff5 libwmf0.2-7 \
+  libxcb-render0 libxcb-shm0 netpbm poppler-data && \
+    wget http://www.imagemagick.org/download/ImageMagick-7.0.3-0.tar.gz && \
+    tar xzf ImageMagick-7.0.3-0.tar.gz && cd ImageMagick-7.0.3-0 && ./configure && \
+    make -j $(nproc) && make install && \
+    # clean up ImageMagick source files
+    cd ../ && rm -rf ImageMagick-7.0.3* && \
+    apt-get -y install libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev && \
+    apt-get -y install libtbb2 libtbb-dev libjpeg-dev libtiff-dev libjasper-dev && \
+    apt-get -y install cmake && \
+    cd /usr/local/src && git clone --depth 1 https://github.com/Itseez/opencv.git && \
+    cd opencv && \
+    mkdir build && cd build && \
+    cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D WITH_FFMPEG=OFF -D WITH_V4L=ON -D WITH_QT=OFF -D WITH_OPENGL=ON -D PYTHON3_LIBRARY=/opt/conda/lib/libpython3.5m.so -D PYTHON3_INCLUDE_DIR=/opt/conda/include/python3.5m/ -D PYTHON_LIBRARY=/opt/conda/lib/libpython3.5m.so -D PYTHON_INCLUDE_DIR=/opt/conda/include/python3.5m/ -D BUILD_PNG=TRUE .. && \
+    make -j $(nproc) && make install && \
+    echo "/usr/local/lib/python3.5/site-packages" > /etc/ld.so.conf.d/opencv.conf && ldconfig && \
+    cp /usr/local/lib/python3.5/site-packages/cv2.cpython-35m-x86_64-linux-gnu.so /opt/conda/lib/python3.5/site-packages/ && \
+    # Clean up install cruft
+    rm -rf /usr/local/src/opencv && \
+    rm /usr/local/src/tensorflow-0.10.0rc0-cp35-cp35m-linux_x86_64.whl && \
+    rm -rf /root/.cache/pip/* && \
+    apt-get autoremove -y && apt-get clean
+
+RUN apt-get install -y libfreetype6-dev && \
+    apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
+    # textblob
+    pip install textblob && \
+    #word cloud
+    pip install git+git://github.com/amueller/word_cloud.git && \
+    #igraph
+    pip install python-igraph && \
+    #xgboost
+    cd /usr/local/src && mkdir xgboost && cd xgboost && \
+    git clone --depth 1 --recursive https://github.com/dmlc/xgboost.git && cd xgboost && \
+    make && cd python-package && python setup.py install && \
+    #lasagne
+    cd /usr/local/src && mkdir Lasagne && cd Lasagne && \
+    git clone --depth 1 https://github.com/Lasagne/Lasagne.git && cd Lasagne && \
+    pip install -r requirements.txt && python setup.py install && \
+    #keras
+    cd /usr/local/src && mkdir keras && cd keras && \
+    git clone --depth 1 https://github.com/fchollet/keras.git && \
+    cd keras && python setup.py install && \
+    #neon
+    cd /usr/local/src && \
+    git clone --depth 1 https://github.com/NervanaSystems/neon.git && \
+    cd neon && pip install -e . && \
+    #nolearn
+    cd /usr/local/src && mkdir nolearn && cd nolearn && \
+    git clone --depth 1 https://github.com/dnouri/nolearn.git && cd nolearn && \
+    echo "x" > README.rst && echo "x" > CHANGES.rst && \
+    python setup.py install && \
+    # Dev branch of Theano
+    pip install git+git://github.com/Theano/Theano.git --upgrade --no-deps && \
+    # put theano compiledir inside /tmp (it needs to be in writable dir)
+    printf "[global]\nbase_compiledir = /tmp/.theano\n" > /.theanorc && \
+    cd /usr/local/src &&  git clone --depth 1 https://github.com/pybrain/pybrain && \
+    cd pybrain && python setup.py install && \
+    # Base ATLAS plus tSNE
+    apt-get install -y libatlas-base-dev && \
+    # NOTE: we provide the tsne package, but sklearn.manifold.TSNE now does the same
+    # job
+    cd /usr/local/src && git clone --depth 1 https://github.com/danielfrg/tsne.git && \
+    cd tsne && python setup.py install && \
+    cd /usr/local/src && git clone --depth 1 https://github.com/ztane/python-Levenshtein && \
+    cd python-Levenshtein && python setup.py install && \
+    cd /usr/local/src && git clone --depth 1 https://github.com/arogozhnikov/hep_ml.git && \
+    cd hep_ml && pip install .  && \
+    # chainer
+    pip install chainer && \
+    # NLTK Project datasets
+    mkdir -p /usr/share/nltk_data && \
+    # NLTK Downloader no longer continues smoothly after an error, so we explicitly list
+    # the corpuses that work
+    python -m nltk.downloader -d /usr/share/nltk_data abc alpino \
+    averaged_perceptron_tagger basque_grammars biocreative_ppi bllip_wsj_no_aux \
+book_grammars brown brown_tei cess_cat cess_esp chat80 city_database cmudict \
+comparative_sentences comtrans conll2000 conll2002 conll2007 crubadan dependency_treebank \
+europarl_raw floresta framenet_v15 gazetteers genesis gutenberg hmm_treebank_pos_tagger \
+ieer inaugural indian jeita kimmo knbc large_grammars lin_thesaurus mac_morpho machado \
+masc_tagged maxent_ne_chunker maxent_treebank_pos_tagger moses_sample movie_reviews \
+mte_teip5 names nps_chat omw opinion_lexicon panlex_swadesh paradigms \
+pil pl196x ppattach problem_reports product_reviews_1 product_reviews_2 propbank \
+pros_cons ptb punkt qc reuters rslp rte sample_grammars semcor senseval sentence_polarity \
+sentiwordnet shakespeare sinica_treebank smultron snowball_data spanish_grammars \
+state_union stopwords subjectivity swadesh switchboard tagsets timit toolbox treebank \
+twitter_samples udhr2 udhr unicode_samples universal_tagset universal_treebanks_v20 \
+verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe && \
+    # Stop-words
+    pip install stop-words && \
+    # clean up
+    find /usr/share/nltk_data/ -name *.zip | xargs -n1 -I@ rm @ && \ 
+    rm -rf /root/.cache/pip/* && \
+    apt-get autoremove -y && apt-get clean && \
+    rm -rf /usr/local/src/*
+
+    # Install OpenCV-3 with Python support
+RUN apt-get update && \
+    cd /usr/local/src/opencv && \
+    mkdir build && cd build && \
+    cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D WITH_FFMPEG=OFF -D WITH_V4L=ON -D WITH_QT=OFF -D WITH_OPENGL=ON -D PYTHON3_LIBRARY=/opt/conda/lib/libpython3.5m.so -D PYTHON3_INCLUDE_DIR=/opt/conda/include/python3.5m/ -D PYTHON_LIBRARY=/opt/conda/lib/libpython3.5m.so -D PYTHON_INCLUDE_DIR=/opt/conda/include/python3.5m/ -D BUILD_PNG=TRUE .. && \
+    make && make install && \
+    echo "/usr/local/lib/python3.5/site-packages" > /etc/ld.so.conf.d/opencv.conf && ldconfig && \
+    cp /usr/local/lib/python3.5/site-packages/cv2.cpython-35m-x86_64-linux-gnu.so /opt/conda/lib/python3.5/site-packages/ && \
+    apt-get -y install libgeos-dev && \
+    # pyshp and pyproj are now external dependencies of Basemap
+    pip install pyshp pyproj && \
+    cd /usr/local/src && git clone https://github.com/matplotlib/basemap.git && \
+    export GEOS_DIR=/usr/local && \
+    cd basemap && python setup.py install && \
+    # Pillow (PIL)
+    apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev && \
+    pip install Pillow && \
+    cd /usr/local/src && git clone https://github.com/vitruvianscience/opendeep.git && \
+    cd opendeep && python setup.py develop  && \
+    # sasl is apparently an ibis dependency
+    apt-get -y install libsasl2-dev && \
+    pip install ibis-framework && \
+    # Cartopy plus dependencies
+    yes | conda install proj4 && \
+    pip install packaging && \
+    cd /usr/local/src && git clone https://github.com/Toblerity/Shapely.git && \
+    cd Shapely && python setup.py install && \
+    cd /usr/local/src && git clone https://github.com/SciTools/cartopy.git && \
+    cd cartopy && python setup.py install && \
+    # MXNet
+    cd /usr/local/src && git clone --recursive https://github.com/dmlc/mxnet && \
+    cd /usr/local/src/mxnet && cp make/config.mk . && \
+    sed -i 's/ADD_LDFLAGS =/ADD_LDFLAGS = -lstdc++/' config.mk && \
+    make && cd python && python setup.py install && \
+    # set backend for matplotlib to Agg
+    matplotlibrc_path=$(python -c "import site, os, fileinput; packages_dir = site.getsitepackages()[0]; print(os.path.join(packages_dir, 'matplotlib', 'mpl-data', 'matplotlibrc'))") && \
+    sed -i 's/^backend      : Qt4Agg/backend      : Agg/' $matplotlibrc_path  && \
+    # Stop jupyter nbconvert trying to rewrite its folder hierarchy
+    mkdir -p /root/.jupyter && touch /root/.jupyter/jupyter_nbconvert_config.py && touch /root/.jupyter/migrated && \
+    mkdir -p /.jupyter && touch /.jupyter/jupyter_nbconvert_config.py && touch /.jupyter/migrated && \
+    # Stop Matplotlib printing junk to the console on first load
+    sed -i "s/^.*Matplotlib is building the font cache using fc-list.*$/# Warning removed by Kaggle/g" /opt/conda/lib/python3.5/site-packages/matplotlib/font_manager.py && \
+    # Make matplotlib output in Jupyter notebooks display correctly
+    mkdir -p /etc/ipython/ && echo "c = get_config(); c.IPKernelApp.matplotlib = 'inline'" > /etc/ipython/ipython_config.py && \
+    # h2o
+    # This requires python-software-properties and Java.
+    apt-get install -y python-software-properties zip && \
+    echo "deb http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list &&     echo "deb-src http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list &&     apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys EEA14886 C857C906 2B90D010 && \
+    apt-get update && \
+    echo debconf shared/accepted-oracle-license-v1-1 select true | debconf-set-selections && \
+    echo debconf shared/accepted-oracle-license-v1-1 seen true | debconf-set-selections && \
+    apt-get install -y oracle-java8-installer && \
+    cd /usr/local/src && mkdir h2o && cd h2o && \
+    wget http://h2o-release.s3.amazonaws.com/h2o/latest_stable -O latest && \
+    wget --no-check-certificate -i latest -O h2o.zip && rm latest && \
+    unzip h2o.zip && rm h2o.zip && cp h2o-*/h2o.jar . && \
+    pip install `find . -name "*whl"` && \
+    # Keras setup
+    # Keras likes to add a config file in a custom directory when it's
+    # first imported. This doesn't work with our read-only filesystem, so we
+    # have it done now
+    python -c "from keras.models import Sequential"  && \
+    # Switch to TF backend
+    sed -i 's/theano/tensorflow/' /root/.keras/keras.json  && \
+    # Re-run it to flush any more disk writes
+    python -c "from keras.models import Sequential; from keras import backend; print(backend._BACKEND)" && \
+    # Keras reverts to /tmp from ~ when it detects a read-only file system
+    mkdir -p /tmp/.keras && cp /root/.keras/keras.json /tmp/.keras && \
     # Scikit-Learn nightly build
-RUN cd /usr/local/src && git clone https://github.com/scikit-learn/scikit-learn.git && \
+    cd /usr/local/src && git clone https://github.com/scikit-learn/scikit-learn.git && \
     cd scikit-learn && python setup.py build && python setup.py install && \
     # HDF5 support
     conda install h5py && \
     # https://github.com/biopython/biopython
-    pip install biopython
+    pip install biopython && \ 
+    rm -rf /root/.cache/pip/* && \
+    apt-get autoremove -y && apt-get clean && \
+    rm -rf /usr/local/src/*
 
     ###########
     #
@@ -42,6 +229,3 @@ RUN pip install --upgrade mpld3 && \
     pip install missingno && \
     pip install pandas-profiling && \
     pip install s2sphere
-
-
-

From 8043e96dc4affa369a40240313e615b3e5649421 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Thu, 8 Sep 2016 21:10:29 +1000
Subject: [PATCH 0008/1660] Remove broken corpus

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 4c990d4a..c29d8a10 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -101,7 +101,7 @@ comparative_sentences comtrans conll2000 conll2002 conll2007 crubadan dependency
 europarl_raw floresta framenet_v15 gazetteers genesis gutenberg hmm_treebank_pos_tagger \
 ieer inaugural indian jeita kimmo knbc large_grammars lin_thesaurus mac_morpho machado \
 masc_tagged maxent_ne_chunker maxent_treebank_pos_tagger moses_sample movie_reviews \
-mte_teip5 names nps_chat omw opinion_lexicon panlex_swadesh paradigms \
+mte_teip5 names nps_chat omw opinion_lexicon paradigms \
 pil pl196x ppattach problem_reports product_reviews_1 product_reviews_2 propbank \
 pros_cons ptb punkt qc reuters rslp rte sample_grammars semcor senseval sentence_polarity \
 sentiwordnet shakespeare sinica_treebank smultron snowball_data spanish_grammars \

From efd7c6d20ab18a0f70eb8501bfb19d96b5429144 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Thu, 8 Sep 2016 21:23:02 +1000
Subject: [PATCH 0009/1660] Remove duplicated OpenCV lines

---
 Dockerfile | 6 ------
 1 file changed, 6 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index c29d8a10..841651c9 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -118,12 +118,6 @@ verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe && \
 
     # Install OpenCV-3 with Python support
 RUN apt-get update && \
-    cd /usr/local/src/opencv && \
-    mkdir build && cd build && \
-    cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D WITH_FFMPEG=OFF -D WITH_V4L=ON -D WITH_QT=OFF -D WITH_OPENGL=ON -D PYTHON3_LIBRARY=/opt/conda/lib/libpython3.5m.so -D PYTHON3_INCLUDE_DIR=/opt/conda/include/python3.5m/ -D PYTHON_LIBRARY=/opt/conda/lib/libpython3.5m.so -D PYTHON_INCLUDE_DIR=/opt/conda/include/python3.5m/ -D BUILD_PNG=TRUE .. && \
-    make && make install && \
-    echo "/usr/local/lib/python3.5/site-packages" > /etc/ld.so.conf.d/opencv.conf && ldconfig && \
-    cp /usr/local/lib/python3.5/site-packages/cv2.cpython-35m-x86_64-linux-gnu.so /opt/conda/lib/python3.5/site-packages/ && \
     apt-get -y install libgeos-dev && \
     # pyshp and pyproj are now external dependencies of Basemap
     pip install pyshp pyproj && \

From f2b4d46b8f0979b766cba05dddfe129768c06d62 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 12 Sep 2016 09:26:57 +1000
Subject: [PATCH 0010/1660] Add BayesianOptimization

---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 841651c9..3d96faec 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -224,5 +224,7 @@ RUN pip install --upgrade mpld3 && \
     pip install missingno && \
     pip install pandas-profiling && \
     pip install s2sphere && \
+    pip install git+https://github.com/fmfn/BayesianOptimization.git && \
+    ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/*

From c178409a4c91a30eb4ada69a69601acf64d516e2 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 12 Sep 2016 09:27:51 +1000
Subject: [PATCH 0011/1660] Add matplotlib-venn

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 3d96faec..ddc3a81a 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -225,6 +225,7 @@ RUN pip install --upgrade mpld3 && \
     pip install pandas-profiling && \
     pip install s2sphere && \
     pip install git+https://github.com/fmfn/BayesianOptimization.git && \
+    pip install matplotlib-venn && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/*

From 60bf275ab9b913663078d5098ce3754c7d76c23a Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 12 Sep 2016 09:33:46 +1000
Subject: [PATCH 0012/1660] Add test script to build repo

---
 test_build.py | 55 +++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 55 insertions(+)
 create mode 100644 test_build.py

diff --git a/test_build.py b/test_build.py
new file mode 100644
index 00000000..6e88137d
--- /dev/null
+++ b/test_build.py
@@ -0,0 +1,55 @@
+# This script should run without errors whenever we update the
+# kaggle/python container. It checks that all our most popular packages can
+# be loaded and used without errors.
+
+import numpy as np
+print("Numpy imported ok")
+print("Your lucky number is: " + str(np.random.randint(100)))
+
+import pandas as pd
+print("Pandas imported ok")
+
+from sklearn import datasets
+print("sklearn imported ok")
+iris = datasets.load_iris()
+X, y = iris.data, iris.target
+
+from sklearn.ensemble import RandomForestClassifier
+rf1 = RandomForestClassifier()
+rf1.fit(X,y)
+print("sklearn RandomForestClassifier: ok")
+
+from xgboost import XGBClassifier
+xgb1 = XGBClassifier(n_estimators=3)
+xgb1.fit(X[0:70],y[0:70])
+print("xgboost XGBClassifier: ok")
+
+import matplotlib.pyplot as plt
+plt.plot(np.linspace(0,1,50), np.random.rand(50))
+plt.savefig("plot1.png")
+print("matplotlib.pyplot ok")
+
+from mpl_toolkits.basemap import Basemap
+print("Basemap ok")
+
+import theano
+print("Theano ok")
+
+from keras.models import Sequential
+from keras.layers.core import Dense, Dropout, Activation, Flatten
+from keras.layers.convolutional import Convolution2D, MaxPooling2D
+from keras.optimizers import SGD
+print("keras ok")
+
+import nltk
+from nltk.stem import WordNetLemmatizer
+print("nltk ok")
+
+import tensorflow as tf
+hello = tf.constant('TensorFlow ok')
+sess = tf.Session()
+print(sess.run(hello))
+
+import cv2
+img = cv2.imread('plot1.png',0)
+print("OpenCV ok")
\ No newline at end of file

From 021696fa45b465da88d0fcf08a16fc43f84ae378 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 20 Sep 2016 10:40:45 +1000
Subject: [PATCH 0013/1660] Update Readme

---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 12257a87..1f188531 100644
--- a/README.md
+++ b/README.md
@@ -2,8 +2,8 @@
 
 ![example script](http://i.imgur.com/GrZ7diw.png)
 
-This is the Dockerfile (etc.) used for building the image that runs python scripts on Kaggle. [Here's](https://registry.hub.docker.com/u/kaggle/python/) the Docker image on Dockerhub
+This is the Dockerfile (etc.) used for building the image that runs python scripts on Kaggle. [Here's](https://registry.hub.docker.com/u/kaggle/python/) the Docker image on Dockerhub.
 
-Because the build process of this image has become quite lengthy, we've split it into three. The base images are at [here](https://github.com/Kaggle/docker-python0) and [here](https://github.com/Kaggle/docker-python1).
+For a guide to using the container, see [our blog](http://blog.kaggle.com/2016/02/05/how-to-get-started-with-data-science-in-containers).
 
 **We welcome pull requests** if there are any packages you'd like to add!

From 0968f2cdcb9004f658ca010136c6e37311af4c25 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Thu, 22 Sep 2016 09:33:59 +1000
Subject: [PATCH 0014/1660] Add mlxtend

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index ddc3a81a..6d869e89 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -226,6 +226,7 @@ RUN pip install --upgrade mpld3 && \
     pip install s2sphere && \
     pip install git+https://github.com/fmfn/BayesianOptimization.git && \
     pip install matplotlib-venn && \
+    pip install git+git://github.com/rasbt/mlxtend.git#egg=mlxtend && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/*

From 85b9c68be08fae148e920d3d2dcc7d25d24a6675 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Thu, 22 Sep 2016 09:50:18 +1000
Subject: [PATCH 0015/1660] Update Imagemagick version

---
 Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 6d869e89..1b4ef7c7 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -22,8 +22,8 @@ RUN apt-get update && apt-get install -y build-essential && \
   libmagickcore-6.q16-2-extra libmagickwand-6.q16-2 libnetpbm10 libopenexr6 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 \
   libpaper-utils libpaper1 libpixman-1-0 libpng12-0 librsvg2-2 librsvg2-common libthai-data libthai0 libtiff5 libwmf0.2-7 \
   libxcb-render0 libxcb-shm0 netpbm poppler-data && \
-    wget http://www.imagemagick.org/download/ImageMagick-7.0.3-0.tar.gz && \
-    tar xzf ImageMagick-7.0.3-0.tar.gz && cd ImageMagick-7.0.3-0 && ./configure && \
+    wget http://www.imagemagick.org/download/ImageMagick-7.0.3-1.tar.gz && \
+    tar xzf ImageMagick-7.0.3-1.tar.gz && cd ImageMagick-7.0.3-1 && ./configure && \
     make -j $(nproc) && make install && \
     # clean up ImageMagick source files
     cd ../ && rm -rf ImageMagick-7.0.3* && \

From 8b8a21564a261600575162d4df002d9cab34a91a Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 26 Sep 2016 06:29:38 +1000
Subject: [PATCH 0016/1660] Add automated build script

---
 build | 16 ++++++++++++++++
 1 file changed, 16 insertions(+)
 create mode 100755 build

diff --git a/build b/build
new file mode 100755
index 00000000..7ac5b4a1
--- /dev/null
+++ b/build
@@ -0,0 +1,16 @@
+#!/bin/bash
+set -e
+
+docker pull continuumio/anaconda3:latest
+docker build --rm --no-cache -t kaggle/python-build .
+
+rm -rf /tmp/python-build
+mkdir -p /tmp/python-build/tmp
+mkdir -p /tmp/python-build/devshm
+mkdir -p /tmp/python-build/working
+docker run --rm -it --read-only --net=none -e HOME=/tmp -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build /bin/bash -c 'python /input/test_build.py'
+
+
+# The test_build.py script creates a plot called plot1.png; check that it exists
+[ -s /tmp/python-build/working/plot1.png ] || exit 1
+

From f54b413bd828bb4550dd6979c79a427c80c66701 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 26 Sep 2016 06:29:49 +1000
Subject: [PATCH 0017/1660] Add rgf_python

---
 Dockerfile | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 1b4ef7c7..658d0564 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -184,7 +184,9 @@ RUN apt-get update && \
     # HDF5 support
     conda install h5py && \
     # https://github.com/biopython/biopython
-    pip install biopython && \ 
+    pip install biopython && \
+    cd /usr/local/src && git clone https://github.com/fukatani/rgf_python.git && \
+    cd rgf_python && python setup.py install && \
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \
     conda clean -i -l -t -y && \

From 65101d38d0aa8a36cee604cfba56437001f6ad3d Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 26 Sep 2016 06:34:05 +1000
Subject: [PATCH 0018/1660] Add docker push

---
 build | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/build b/build
index 7ac5b4a1..8ceaacd9 100755
--- a/build
+++ b/build
@@ -10,7 +10,8 @@ mkdir -p /tmp/python-build/devshm
 mkdir -p /tmp/python-build/working
 docker run --rm -it --read-only --net=none -e HOME=/tmp -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build /bin/bash -c 'python /input/test_build.py'
 
-
 # The test_build.py script creates a plot called plot1.png; check that it exists
 [ -s /tmp/python-build/working/plot1.png ] || exit 1
 
+docker tag kaggle/python-build:latest kaggle/python:latest
+docker push kaggle/python:latest

From beeaf98148d1cb1fa4b3c5425ea14a3485d9e3d5 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Wed, 28 Sep 2016 06:03:18 +1000
Subject: [PATCH 0019/1660] Add RGF binary

---
 Dockerfile | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 658d0564..848bf80f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -185,8 +185,12 @@ RUN apt-get update && \
     conda install h5py && \
     # https://github.com/biopython/biopython
     pip install biopython && \
+    # Regularized Greedy Forests
+    cd /usr/local/src && wget http://stat.rutgers.edu/home/tzhang/software/rgf/rgf1.2.zip && \
+    unzip rgf1.2.zip && cd rgf1.2 && make && mv bin/rgf /usr/local/bin && \
     cd /usr/local/src && git clone https://github.com/fukatani/rgf_python.git && \
-    cd rgf_python && python setup.py install && \
+    cd rgf_python && sed -i 's/\/opt\/rgf1.2\/bin\/rgf/\/usr\/local\/bin\/rgf/' rgf/rgf.py && \
+    python setup.py install && \
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \
     conda clean -i -l -t -y && \

From f1a0119f30b05ae8711a8d2c41e7324d6c9cc47d Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Wed, 28 Sep 2016 06:12:39 +1000
Subject: [PATCH 0020/1660] Add PUDB

---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 848bf80f..9127c289 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -191,6 +191,8 @@ RUN apt-get update && \
     cd /usr/local/src && git clone https://github.com/fukatani/rgf_python.git && \
     cd rgf_python && sed -i 's/\/opt\/rgf1.2\/bin\/rgf/\/usr\/local\/bin\/rgf/' rgf/rgf.py && \
     python setup.py install && \
+    # PUDB, for local debugging convenience
+    pip install pudb && \
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \
     conda clean -i -l -t -y && \

From 88d73c5807feacf390a45ed42d05311a140f49b1 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Wed, 28 Sep 2016 06:36:31 +1000
Subject: [PATCH 0021/1660] Remove defective NLTK corpus

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 9127c289..bf768e67 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -103,7 +103,7 @@ ieer inaugural indian jeita kimmo knbc large_grammars lin_thesaurus mac_morpho m
 masc_tagged maxent_ne_chunker maxent_treebank_pos_tagger moses_sample movie_reviews \
 mte_teip5 names nps_chat omw opinion_lexicon paradigms \
 pil pl196x ppattach problem_reports product_reviews_1 product_reviews_2 propbank \
-pros_cons ptb punkt qc reuters rslp rte sample_grammars semcor senseval sentence_polarity \
+pros_cons ptb punkt qc reuters rslp rte sample_grammars semcor sentence_polarity \
 sentiwordnet shakespeare sinica_treebank smultron snowball_data spanish_grammars \
 state_union stopwords subjectivity swadesh switchboard tagsets timit toolbox treebank \
 twitter_samples udhr2 udhr unicode_samples universal_tagset universal_treebanks_v20 \

From 21084495629bf0b16c37a4aa9e74b606278fdd7f Mon Sep 17 00:00:00 2001
From: Michele Lacchia <michelelacchia@gmail.com>
Date: Sat, 8 Oct 2016 09:34:11 +0200
Subject: [PATCH 0022/1660] Add Altair package

---
 Dockerfile | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index bf768e67..3a90ff87 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -235,6 +235,9 @@ RUN pip install --upgrade mpld3 && \
     pip install git+https://github.com/fmfn/BayesianOptimization.git && \
     pip install matplotlib-venn && \
     pip install git+git://github.com/rasbt/mlxtend.git#egg=mlxtend && \
+    pip install altair && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
-    rm -rf /root/.cache/pip/*
+    rm -rf /root/.cache/pip/* && \
+    # Required to display Altair charts in Jupyter notebook
+    jupyter nbextension install --py vega

From 04466032b43f0365253375a5960399b2457f3404 Mon Sep 17 00:00:00 2001
From: Michele Lacchia <michelelacchia@gmail.com>
Date: Sat, 8 Oct 2016 09:40:23 +0200
Subject: [PATCH 0023/1660] Add the --user option to nbextension install

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 3a90ff87..8bc8689c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -240,4 +240,4 @@ RUN pip install --upgrade mpld3 && \
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \
     # Required to display Altair charts in Jupyter notebook
-    jupyter nbextension install --py vega
+    jupyter nbextension install --user --py vega

From e0f86f14110c128fd590f8336fb0ce1d7cecb719 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 11 Oct 2016 21:18:29 +1100
Subject: [PATCH 0024/1660] Add Spacy download

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index bf768e67..d01766d0 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -13,6 +13,7 @@ RUN apt-get update && apt-get install -y build-essential && \
     pip install vowpalwabbit && \
     pip install seaborn python-dateutil spacy dask pytagcloud pyyaml ggplot joblib \
     husl geopy ml_metrics mne pyshp gensim && \
+    python -m spacy.en.download && \
     # The apt-get version of imagemagick is out of date and has compatibility issues, so we build from source
     apt-get -y install dbus fontconfig fontconfig-config fonts-dejavu-core fonts-droid ghostscript gsfonts hicolor-icon-theme \
   libavahi-client3 libavahi-common-data libavahi-common3 libcairo2 libcap-ng0 libcroco3 \

From e8cb716a7ed0dbcf1365d2c3680210144649b505 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 11 Oct 2016 21:32:15 +1100
Subject: [PATCH 0025/1660] Update ImageMagick version

---
 Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index d01766d0..fa27b788 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -23,8 +23,8 @@ RUN apt-get update && apt-get install -y build-essential && \
   libmagickcore-6.q16-2-extra libmagickwand-6.q16-2 libnetpbm10 libopenexr6 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 \
   libpaper-utils libpaper1 libpixman-1-0 libpng12-0 librsvg2-2 librsvg2-common libthai-data libthai0 libtiff5 libwmf0.2-7 \
   libxcb-render0 libxcb-shm0 netpbm poppler-data && \
-    wget http://www.imagemagick.org/download/ImageMagick-7.0.3-1.tar.gz && \
-    tar xzf ImageMagick-7.0.3-1.tar.gz && cd ImageMagick-7.0.3-1 && ./configure && \
+    wget http://www.imagemagick.org/download/ImageMagick-7.0.3-4.tar.gz && \
+    tar xzf ImageMagick-7.0.3-4.tar.gz && cd ImageMagick-7.0.3-4 && ./configure && \
     make -j $(nproc) && make install && \
     # clean up ImageMagick source files
     cd ../ && rm -rf ImageMagick-7.0.3* && \

From 621925e9e6747ed5a2efb718717bdd1561842b26 Mon Sep 17 00:00:00 2001
From: Ben Hamner <ben@benhamner.com>
Date: Mon, 17 Oct 2016 09:16:45 -0700
Subject: [PATCH 0026/1660] removing spacy/shapely/cartopy for the moment

---
 Dockerfile | 13 +++++++------
 1 file changed, 7 insertions(+), 6 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index fa27b788..21d50f99 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -11,9 +11,9 @@ RUN apt-get update && apt-get install -y build-essential && \
     cd /usr/lib/x86_64-linux-gnu/ && rm -f libboost_python.a && rm -f libboost_python.so && \ 
     ln -sf libboost_python-py34.so libboost_python.so && ln -sf libboost_python-py34.a libboost_python.a && \
     pip install vowpalwabbit && \
-    pip install seaborn python-dateutil spacy dask pytagcloud pyyaml ggplot joblib \
+    pip install seaborn python-dateutil dask pytagcloud pyyaml ggplot joblib \
     husl geopy ml_metrics mne pyshp gensim && \
-    python -m spacy.en.download && \
+    #python -m spacy.en.download && \
     # The apt-get version of imagemagick is out of date and has compatibility issues, so we build from source
     apt-get -y install dbus fontconfig fontconfig-config fonts-dejavu-core fonts-droid ghostscript gsfonts hicolor-icon-theme \
   libavahi-client3 libavahi-common-data libavahi-common3 libcairo2 libcap-ng0 libcroco3 \
@@ -136,10 +136,11 @@ RUN apt-get update && \
     # Cartopy plus dependencies
     yes | conda install proj4 && \
     pip install packaging && \
-    cd /usr/local/src && git clone https://github.com/Toblerity/Shapely.git && \
-    cd Shapely && python setup.py install && \
-    cd /usr/local/src && git clone https://github.com/SciTools/cartopy.git && \
-    cd cartopy && python setup.py install && \
+    # Removing Shapely for now
+    #cd /usr/local/src && git clone https://github.com/Toblerity/Shapely.git && \
+    #cd Shapely && python setup.py install && \
+    #cd /usr/local/src && git clone https://github.com/SciTools/cartopy.git && \
+    #cd cartopy && python setup.py install && \
     # MXNet
     cd /usr/local/src && git clone --recursive https://github.com/dmlc/mxnet && \
     cd /usr/local/src/mxnet && cp make/config.mk . && \

From b2db240657bdbeb3a70aefe0db86ba9a2a6d98be Mon Sep 17 00:00:00 2001
From: Sara Collins <saracollins0508@gmail.com>
Date: Tue, 18 Oct 2016 16:38:07 -0500
Subject: [PATCH 0027/1660] Added pip installation of pyLDAvis

Added pyLDAvis, from https://github.com/bmabey/pyLDAvis
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 21d50f99..221c5667 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -236,6 +236,7 @@ RUN pip install --upgrade mpld3 && \
     pip install s2sphere && \
     pip install git+https://github.com/fmfn/BayesianOptimization.git && \
     pip install matplotlib-venn && \
+    pip install pyldavis && \
     pip install git+git://github.com/rasbt/mlxtend.git#egg=mlxtend && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache

From 12b8c4f499c17bf86a644db3ea0113893c94224e Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Wed, 19 Oct 2016 10:28:32 +1100
Subject: [PATCH 0028/1660] Support building from cache

---
 build | 12 ++++++++++--
 1 file changed, 10 insertions(+), 2 deletions(-)

diff --git a/build b/build
index 8ceaacd9..86ae8570 100755
--- a/build
+++ b/build
@@ -1,8 +1,16 @@
 #!/bin/bash
 set -e
 
-docker pull continuumio/anaconda3:latest
-docker build --rm --no-cache -t kaggle/python-build .
+# Default behavior is to do everything from scratch.
+# The --use-cache option is useful if you're iterating on a broken build.
+if [[ "$1" ==  "--use-cache" ]]; then
+    docker build --rm -t kaggle/python-build .
+else
+    docker pull continuumio/anaconda3:latest
+    docker build --rm --no-cache -t kaggle/python-build .
+fi
+
+
 
 rm -rf /tmp/python-build
 mkdir -p /tmp/python-build/tmp

From a5c748f916fcdf6ccecd7eb6f3be9d42b05aa6ef Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Wed, 19 Oct 2016 11:30:30 +1100
Subject: [PATCH 0029/1660] Update Conda GCC version

---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 21d50f99..63ba2f6d 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,6 +1,8 @@
 FROM continuumio/anaconda3:latest
 
 RUN apt-get update && apt-get install -y build-essential && \
+    # Anaconda's gcc is out of date, which causes linking problems; this helps a bit
+    conda install -y gcc && \
     cd /usr/local/src && \
     # https://github.com/tensorflow/tensorflow/issues/64#issuecomment-155270240
     # Why does this work, when `pip install tensorflow` fails? It is a mystery

From 21b3aac423e61faaaa138bd97e9999a3579db23a Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Wed, 19 Oct 2016 11:45:15 +1100
Subject: [PATCH 0030/1660] Move GCC installation order

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 63ba2f6d..196ba808 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,8 +1,9 @@
 FROM continuumio/anaconda3:latest
 
-RUN apt-get update && apt-get install -y build-essential && \
+RUN apt-get update && \
     # Anaconda's gcc is out of date, which causes linking problems; this helps a bit
     conda install -y gcc && \
+    apt-get install -y build-essential && \
     cd /usr/local/src && \
     # https://github.com/tensorflow/tensorflow/issues/64#issuecomment-155270240
     # Why does this work, when `pip install tensorflow` fails? It is a mystery

From 5a6e5a1b7f2dd077f4619c57b2160127f666a696 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Wed, 19 Oct 2016 16:47:51 +1100
Subject: [PATCH 0031/1660] Reinstate Shapely etc; monkey-patch Conda's gcc

---
 Dockerfile | 19 +++++++++++--------
 1 file changed, 11 insertions(+), 8 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 196ba808..eb176a46 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,9 +1,6 @@
 FROM continuumio/anaconda3:latest
 
-RUN apt-get update && \
-    # Anaconda's gcc is out of date, which causes linking problems; this helps a bit
-    conda install -y gcc && \
-    apt-get install -y build-essential && \
+RUN apt-get update && apt-get install -y build-essential && \
     cd /usr/local/src && \
     # https://github.com/tensorflow/tensorflow/issues/64#issuecomment-155270240
     # Why does this work, when `pip install tensorflow` fails? It is a mystery
@@ -140,10 +137,10 @@ RUN apt-get update && \
     yes | conda install proj4 && \
     pip install packaging && \
     # Removing Shapely for now
-    #cd /usr/local/src && git clone https://github.com/Toblerity/Shapely.git && \
-    #cd Shapely && python setup.py install && \
-    #cd /usr/local/src && git clone https://github.com/SciTools/cartopy.git && \
-    #cd cartopy && python setup.py install && \
+    cd /usr/local/src && git clone https://github.com/Toblerity/Shapely.git && \
+    cd Shapely && python setup.py install && \
+    cd /usr/local/src && git clone https://github.com/SciTools/cartopy.git && \
+    cd cartopy && python setup.py install && \
     # MXNet
     cd /usr/local/src && git clone --recursive https://github.com/dmlc/mxnet && \
     cd /usr/local/src/mxnet && cp make/config.mk . && \
@@ -198,6 +195,12 @@ RUN apt-get update && \
     python setup.py install && \
     # PUDB, for local debugging convenience
     pip install pudb && \
+    # Anaconda's build of gcc is way out of date; monkey-patch some linking problems that affect
+    # packages like xgboost and Shapely
+    rm /opt/conda/lib/libstdc++* && rm /opt/conda/lib/libgomp.* && \
+    ln -s /usr/lib/x86_64-linux-gnu/libgomp.so.1 /opt/conda/lib/libgomp.so.1 && \
+    ln -s /usr/lib/x86_64-linux-gnu/libstdc++.so.6 /opt/conda/lib/libstdc++.so.6 && \
+    # ~~~~ CLEAN UP ~~~~
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \
     conda clean -i -l -t -y && \

From a5537d975279ec8ab4b3bd3a754762d1f041fa32 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Wed, 19 Oct 2016 17:51:01 +1100
Subject: [PATCH 0032/1660] Fix Shapely linking issue

---
 Dockerfile | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index eb176a46..185bddf8 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -119,6 +119,12 @@ verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe && \
 
     # Install OpenCV-3 with Python support
 RUN apt-get update && \
+    # Anaconda's build of gcc is way out of date; monkey-patch some linking problems that affect
+    # packages like xgboost and Shapely
+    rm /opt/conda/lib/libstdc++* && rm /opt/conda/lib/libgomp.* && \
+    ln -s /usr/lib/x86_64-linux-gnu/libgomp.so.1 /opt/conda/lib/libgomp.so.1 && \
+    ln -s /usr/lib/x86_64-linux-gnu/libstdc++.so.6 /opt/conda/lib/libstdc++.so.6 && \
+    # Libgeos, for mapping libraries
     apt-get -y install libgeos-dev && \
     # pyshp and pyproj are now external dependencies of Basemap
     pip install pyshp pyproj && \
@@ -136,7 +142,6 @@ RUN apt-get update && \
     # Cartopy plus dependencies
     yes | conda install proj4 && \
     pip install packaging && \
-    # Removing Shapely for now
     cd /usr/local/src && git clone https://github.com/Toblerity/Shapely.git && \
     cd Shapely && python setup.py install && \
     cd /usr/local/src && git clone https://github.com/SciTools/cartopy.git && \
@@ -195,11 +200,6 @@ RUN apt-get update && \
     python setup.py install && \
     # PUDB, for local debugging convenience
     pip install pudb && \
-    # Anaconda's build of gcc is way out of date; monkey-patch some linking problems that affect
-    # packages like xgboost and Shapely
-    rm /opt/conda/lib/libstdc++* && rm /opt/conda/lib/libgomp.* && \
-    ln -s /usr/lib/x86_64-linux-gnu/libgomp.so.1 /opt/conda/lib/libgomp.so.1 && \
-    ln -s /usr/lib/x86_64-linux-gnu/libstdc++.so.6 /opt/conda/lib/libstdc++.so.6 && \
     # ~~~~ CLEAN UP ~~~~
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \

From 54d8068366708100a2152cac58bac0bbb8f7c95e Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Wed, 19 Oct 2016 21:23:59 +1100
Subject: [PATCH 0033/1660] Update Matplotlib config

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 185bddf8..af346231 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -153,7 +153,7 @@ RUN apt-get update && \
     make && cd python && python setup.py install && \
     # set backend for matplotlib to Agg
     matplotlibrc_path=$(python -c "import site, os, fileinput; packages_dir = site.getsitepackages()[0]; print(os.path.join(packages_dir, 'matplotlib', 'mpl-data', 'matplotlibrc'))") && \
-    sed -i 's/^backend      : Qt4Agg/backend      : Agg/' $matplotlibrc_path  && \
+    sed -i 's/^backend      : Qt5Agg/backend      : Agg/' $matplotlibrc_path  && \
     # Stop jupyter nbconvert trying to rewrite its folder hierarchy
     mkdir -p /root/.jupyter && touch /root/.jupyter/jupyter_nbconvert_config.py && touch /root/.jupyter/migrated && \
     mkdir -p /.jupyter && touch /.jupyter/jupyter_nbconvert_config.py && touch /.jupyter/migrated && \

From 7512a823752786edeca30637bce8fd3843b6e31e Mon Sep 17 00:00:00 2001
From: Sara Collins <saracollins0508@gmail.com>
Date: Sat, 22 Oct 2016 15:56:17 -0500
Subject: [PATCH 0034/1660] Update Dockerfile to add 'pattern' python package

Updated Dockerfile to add 'pattern' python package via pip
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 221c5667..e38665ef 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -237,6 +237,7 @@ RUN pip install --upgrade mpld3 && \
     pip install git+https://github.com/fmfn/BayesianOptimization.git && \
     pip install matplotlib-venn && \
     pip install pyldavis && \
+    pip install pattern && \
     pip install git+git://github.com/rasbt/mlxtend.git#egg=mlxtend && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache

From ce0761ec91e98755eaf696ab9e485870bd7aa2d2 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 24 Oct 2016 09:21:06 +1100
Subject: [PATCH 0035/1660] Remove STDIN mapping from test exec

---
 build | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/build b/build
index 86ae8570..d2720b3f 100755
--- a/build
+++ b/build
@@ -16,7 +16,7 @@ rm -rf /tmp/python-build
 mkdir -p /tmp/python-build/tmp
 mkdir -p /tmp/python-build/devshm
 mkdir -p /tmp/python-build/working
-docker run --rm -it --read-only --net=none -e HOME=/tmp -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build /bin/bash -c 'python /input/test_build.py'
+docker run --rm -t --read-only --net=none -e HOME=/tmp -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build /bin/bash -c 'python /input/test_build.py'
 
 # The test_build.py script creates a plot called plot1.png; check that it exists
 [ -s /tmp/python-build/working/plot1.png ] || exit 1

From 4f362d0f818f5f83704ef9e0e289da24d9894b5b Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 25 Oct 2016 06:51:43 +1100
Subject: [PATCH 0036/1660] Add vader_lexicon to NLTK

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index af346231..f65aea98 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -108,7 +108,7 @@ pros_cons ptb punkt qc reuters rslp rte sample_grammars semcor sentence_polarity
 sentiwordnet shakespeare sinica_treebank smultron snowball_data spanish_grammars \
 state_union stopwords subjectivity swadesh switchboard tagsets timit toolbox treebank \
 twitter_samples udhr2 udhr unicode_samples universal_tagset universal_treebanks_v20 \
-verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe && \
+vader_lexicon verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe && \
     # Stop-words
     pip install stop-words && \
     # clean up

From 796f97c512bdc127846784d29abd110dc0cab315 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 25 Oct 2016 09:30:15 +1100
Subject: [PATCH 0037/1660] Add imbalanced-learn

---
 Dockerfile | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index f65aea98..32277b7f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -200,6 +200,9 @@ RUN apt-get update && \
     python setup.py install && \
     # PUDB, for local debugging convenience
     pip install pudb && \
+    # Imbalanced-learn
+    cd /usr/local/src && git clone https://github.com/scikit-learn-contrib/imbalanced-learn.git && \
+    cd imbalanced-learn && python setup.py install && \
     # ~~~~ CLEAN UP ~~~~
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \

From 89ae959d0ab2df2429a61b91bf5e32479f9b4f06 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 25 Oct 2016 10:43:46 +1100
Subject: [PATCH 0038/1660] Temporarily remove Pattern until Py3 compatible

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 998e15b5..4fe917e3 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -246,7 +246,8 @@ RUN pip install --upgrade mpld3 && \
     pip install git+https://github.com/fmfn/BayesianOptimization.git && \
     pip install matplotlib-venn && \
     pip install pyldavis && \
-    pip install pattern && \
+    # Pattern not yet Py3 compatible...
+    # pip install pattern && \
     pip install git+git://github.com/rasbt/mlxtend.git#egg=mlxtend && \
     pip install altair && \
     ##### ^^^^ Add new contributions above here

From 398d6558c32b31ddbc2f54e4214e8e6a667ea1e0 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 25 Oct 2016 14:16:31 +1100
Subject: [PATCH 0039/1660] Spare vader lexicon when cleaning NLTK zip files

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 4fe917e3..a5888788 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -112,7 +112,7 @@ vader_lexicon verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe && \
     # Stop-words
     pip install stop-words && \
     # clean up
-    find /usr/share/nltk_data/ -name *.zip | xargs -n1 -I@ rm @ && \ 
+    find /usr/share/nltk_data/ -name *.zip | grep -v vader_lexicon | xargs -n1 -I@ rm @ && \ 
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \
     rm -rf /usr/local/src/*

From e5fe6cd580d5aad612d82fc23db187881ee95cb0 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Wed, 26 Oct 2016 07:37:54 +1100
Subject: [PATCH 0040/1660] Stop removing NLTK corpora zips

---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index a5888788..85bb53ab 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -112,7 +112,6 @@ vader_lexicon verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe && \
     # Stop-words
     pip install stop-words && \
     # clean up
-    find /usr/share/nltk_data/ -name *.zip | grep -v vader_lexicon | xargs -n1 -I@ rm @ && \ 
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \
     rm -rf /usr/local/src/*

From 952d5e75dc57175b6367f4ed8745e20fa6cef67b Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Thu, 27 Oct 2016 12:20:28 +1100
Subject: [PATCH 0041/1660] Add cvxopt and other utilities

---
 Dockerfile | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 85bb53ab..37498e12 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -202,6 +202,12 @@ RUN apt-get update && \
     # Imbalanced-learn
     cd /usr/local/src && git clone https://github.com/scikit-learn-contrib/imbalanced-learn.git && \
     cd imbalanced-learn && python setup.py install && \
+    # Convex Optimization library
+    pip install cvxopt && \
+    # Profiling and other utilities
+    pip install line_profiler && \
+    pip install orderedmultidict && \
+    pip install smhasher && \
     # ~~~~ CLEAN UP ~~~~
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \

From 9560713510cc93b8c8b964c883a0d1ec866361f5 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Thu, 27 Oct 2016 16:00:02 +1100
Subject: [PATCH 0042/1660] Update readme

---
 README.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 1f188531..97f95c71 100644
--- a/README.md
+++ b/README.md
@@ -1,9 +1,9 @@
-**Kaggle Scripts** allow users to run scripts against our competition data sets without having to download data or set up their environment. Here's [an example](https://www.kaggle.com/users/213536/vasco/predict-west-nile-virus/west-nile-heatmap):
+**Kaggle Kernels** allow users to run scripts against our competitions and datasets without having to download data or set up their environment. Here's [an example](https://www.kaggle.com/devinanzelmo/d/devinanzelmo/dota-2-matches/setting-up-a-prediction-problem-dota-2):
 
-![example script](http://i.imgur.com/GrZ7diw.png)
+![example script](http://i.imgur.com/yrWycNA.png)
 
 This is the Dockerfile (etc.) used for building the image that runs python scripts on Kaggle. [Here's](https://registry.hub.docker.com/u/kaggle/python/) the Docker image on Dockerhub.
 
-For a guide to using the container, see [our blog](http://blog.kaggle.com/2016/02/05/how-to-get-started-with-data-science-in-containers).
+To get started with this image, read our (guide)[http://blog.kaggle.com/2016/02/05/how-to-get-started-with-data-science-in-containers/] to using it yourself, or browse [Kaggle Kernels](https://www.kaggle.com/kernels) for ideas.
 
 **We welcome pull requests** if there are any packages you'd like to add!

From c69b782dc0c60199e2095d6937afbf76b5af1ed7 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Fri, 4 Nov 2016 11:38:53 +1100
Subject: [PATCH 0043/1660] Update readme

---
 README.md | 38 ++++++++++++++++++++++++++++++++++++++
 1 file changed, 38 insertions(+)

diff --git a/README.md b/README.md
index 97f95c71..f4bd4270 100644
--- a/README.md
+++ b/README.md
@@ -4,6 +4,44 @@
 
 This is the Dockerfile (etc.) used for building the image that runs python scripts on Kaggle. [Here's](https://registry.hub.docker.com/u/kaggle/python/) the Docker image on Dockerhub.
 
+## Getting started
+
 To get started with this image, read our (guide)[http://blog.kaggle.com/2016/02/05/how-to-get-started-with-data-science-in-containers/] to using it yourself, or browse [Kaggle Kernels](https://www.kaggle.com/kernels) for ideas.
 
+## Requesting new features
+
 **We welcome pull requests** if there are any packages you'd like to add!
+
+We can merge your request quickly if you check that it builds correctly. Here's how to do that.
+
+Start by running this image on your system:
+
+```
+me@my-computer:/home$ docker run --rm -it kaggle/python
+root@d72b81a003e1:/# 
+```
+
+Then follow the package's installation instructions for a Linux system. It could be as simple as installing via Pip:
+
+```
+root@d72b81a003e1:/# pip install coolpackage
+Collecking coolpackage
+[...etc...]
+```
+
+Once that's done, check that you can import it correctly. (Sometimes, if a package is missing a dependency, it throws an error when you try to import it.)
+
+```
+root@d72b81a003e1:/# python
+Python 3.5.2 |Anaconda 4.2.0 (64-bit)| (default, Jul  2 2016, 17:53:06)
+[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux
+Type "help", "copyright", "credits" or "license" for more information.
+>>> import coolpackage
+>>>
+```
+
+Once that's working, add the necessary lines to our `Dockerfile`. (In this case, that would mean adding `pip install coolpackage` to the end section of the Dockerfile.) Then submit your pull request, and you're all set!
+
+
+
+

From bbeea98afd4c3dbcebc7e53423ade73a5b18231a Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Fri, 4 Nov 2016 11:41:12 +1100
Subject: [PATCH 0044/1660] Update readme

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index f4bd4270..9772b51d 100644
--- a/README.md
+++ b/README.md
@@ -6,7 +6,7 @@ This is the Dockerfile (etc.) used for building the image that runs python scrip
 
 ## Getting started
 
-To get started with this image, read our (guide)[http://blog.kaggle.com/2016/02/05/how-to-get-started-with-data-science-in-containers/] to using it yourself, or browse [Kaggle Kernels](https://www.kaggle.com/kernels) for ideas.
+To get started with this image, read our [guide](http://blog.kaggle.com/2016/02/05/how-to-get-started-with-data-science-in-containers/) to using it yourself, or browse [Kaggle Kernels](https://www.kaggle.com/kernels) for ideas.
 
 ## Requesting new features
 

From e2cd140c43f9cbd292199d83ba9db421ff085e27 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Fri, 4 Nov 2016 11:43:05 +1100
Subject: [PATCH 0045/1660] Correct typo, update link

---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 9772b51d..5809c317 100644
--- a/README.md
+++ b/README.md
@@ -25,7 +25,7 @@ Then follow the package's installation instructions for a Linux system. It could
 
 ```
 root@d72b81a003e1:/# pip install coolpackage
-Collecking coolpackage
+Collecting coolpackage
 [...etc...]
 ```
 
@@ -40,7 +40,7 @@ Type "help", "copyright", "credits" or "license" for more information.
 >>>
 ```
 
-Once that's working, add the necessary lines to our `Dockerfile`. (In this case, that would mean adding `pip install coolpackage` to the end section of the Dockerfile.) Then submit your pull request, and you're all set!
+Once that's working, add the necessary lines to our [Dockerfile](https://github.com/Kaggle/docker-python/blob/master/Dockerfile). (In this case, that would mean adding `pip install coolpackage` to the last section.) Then submit your pull request, and you're all set!
 
 
 

From c4e6b6ac08f91e07cf3ad6e5cecd568e69f25091 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 15 Nov 2016 16:41:55 +1100
Subject: [PATCH 0046/1660] Add PyStan

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 37498e12..885944d6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -255,6 +255,7 @@ RUN pip install --upgrade mpld3 && \
     # pip install pattern && \
     pip install git+git://github.com/rasbt/mlxtend.git#egg=mlxtend && \
     pip install altair && \
+    pip install pystan && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 9642dfaf0e9b73886578b39f7d32ea719a92fedd Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 15 Nov 2016 17:43:55 +1100
Subject: [PATCH 0047/1660] Update ImageMagick version

---
 Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 885944d6..150b67a1 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -23,8 +23,8 @@ RUN apt-get update && apt-get install -y build-essential && \
   libmagickcore-6.q16-2-extra libmagickwand-6.q16-2 libnetpbm10 libopenexr6 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 \
   libpaper-utils libpaper1 libpixman-1-0 libpng12-0 librsvg2-2 librsvg2-common libthai-data libthai0 libtiff5 libwmf0.2-7 \
   libxcb-render0 libxcb-shm0 netpbm poppler-data && \
-    wget http://www.imagemagick.org/download/ImageMagick-7.0.3-4.tar.gz && \
-    tar xzf ImageMagick-7.0.3-4.tar.gz && cd ImageMagick-7.0.3-4 && ./configure && \
+    wget http://www.imagemagick.org/download/ImageMagick-7.0.3-6.tar.gz && \
+    tar xzf ImageMagick-7.0.3-6.tar.gz && cd ImageMagick-7.0.3-6 && ./configure && \
     make -j $(nproc) && make install && \
     # clean up ImageMagick source files
     cd ../ && rm -rf ImageMagick-7.0.3* && \

From 3bedbf0b6b90582d77d5609083fc931a96d48d6a Mon Sep 17 00:00:00 2001
From: Tomasz Bartczak <kretes@gazeta.pl>
Date: Thu, 17 Nov 2016 09:33:34 +0100
Subject: [PATCH 0048/1660] ImageHash library

adding https://pypi.python.org/pypi/ImageHash
checked that after pip install in the image one can import imagehash
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 150b67a1..93dfe2c2 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -256,6 +256,7 @@ RUN pip install --upgrade mpld3 && \
     pip install git+git://github.com/rasbt/mlxtend.git#egg=mlxtend && \
     pip install altair && \
     pip install pystan && \
+    pip install ImageHash && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 56252157fa8aa7122c9426a286f68f4424f1fe0f Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Fri, 18 Nov 2016 06:05:35 +1100
Subject: [PATCH 0049/1660] Update ImageMagick version

---
 Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 150b67a1..5c0f924a 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -23,8 +23,8 @@ RUN apt-get update && apt-get install -y build-essential && \
   libmagickcore-6.q16-2-extra libmagickwand-6.q16-2 libnetpbm10 libopenexr6 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 \
   libpaper-utils libpaper1 libpixman-1-0 libpng12-0 librsvg2-2 librsvg2-common libthai-data libthai0 libtiff5 libwmf0.2-7 \
   libxcb-render0 libxcb-shm0 netpbm poppler-data && \
-    wget http://www.imagemagick.org/download/ImageMagick-7.0.3-6.tar.gz && \
-    tar xzf ImageMagick-7.0.3-6.tar.gz && cd ImageMagick-7.0.3-6 && ./configure && \
+    wget http://www.imagemagick.org/download/ImageMagick-7.0.3-7.tar.gz && \
+    tar xzf ImageMagick-7.0.3-7.tar.gz && cd ImageMagick-7.0.3-7 && ./configure && \
     make -j $(nproc) && make install && \
     # clean up ImageMagick source files
     cd ../ && rm -rf ImageMagick-7.0.3* && \

From a58fe337ebac88ee9c9742772d0fff937e3e6aef Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Fri, 18 Nov 2016 07:16:10 +1100
Subject: [PATCH 0050/1660] Add datashader

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 6f5124bd..5c969c37 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -208,6 +208,7 @@ RUN apt-get update && \
     pip install line_profiler && \
     pip install orderedmultidict && \
     pip install smhasher && \
+    conda install -y -c bokeh datashader && \
     # ~~~~ CLEAN UP ~~~~
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \

From ecb20659bf6626d1beda13858a3df9fd136b8dfb Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Sat, 26 Nov 2016 05:55:55 +1100
Subject: [PATCH 0051/1660] Install Pymc3

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 5c969c37..97864539 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -258,6 +258,7 @@ RUN pip install --upgrade mpld3 && \
     pip install altair && \
     pip install pystan && \
     pip install ImageHash && \
+    pip install git+https://github.com/pymc-devs/pymc3 && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From dcc1dc53dbccca8caa74728cff4fdc2dfc9a51b4 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Sat, 26 Nov 2016 07:13:12 +1100
Subject: [PATCH 0052/1660] Use fukatani's mirror of missing RGF source

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 97864539..b31f5321 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -192,7 +192,7 @@ RUN apt-get update && \
     # https://github.com/biopython/biopython
     pip install biopython && \
     # Regularized Greedy Forests
-    cd /usr/local/src && wget http://stat.rutgers.edu/home/tzhang/software/rgf/rgf1.2.zip && \
+    cd /usr/local/src && wget https://github.com/fukatani/rgf_python/releases/download/0.2.0/rgf1.2.zip && \
     unzip rgf1.2.zip && cd rgf1.2 && make && mv bin/rgf /usr/local/bin && \
     cd /usr/local/src && git clone https://github.com/fukatani/rgf_python.git && \
     cd rgf_python && sed -i 's/\/opt\/rgf1.2\/bin\/rgf/\/usr\/local\/bin\/rgf/' rgf/rgf.py && \

From fadd693b15b4eb228cbe577490eb18db5b4fee34 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Sat, 26 Nov 2016 07:35:03 +1100
Subject: [PATCH 0053/1660] Update ImageMagick

---
 Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index b31f5321..db507d0a 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -23,8 +23,8 @@ RUN apt-get update && apt-get install -y build-essential && \
   libmagickcore-6.q16-2-extra libmagickwand-6.q16-2 libnetpbm10 libopenexr6 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 \
   libpaper-utils libpaper1 libpixman-1-0 libpng12-0 librsvg2-2 librsvg2-common libthai-data libthai0 libtiff5 libwmf0.2-7 \
   libxcb-render0 libxcb-shm0 netpbm poppler-data && \
-    wget http://www.imagemagick.org/download/ImageMagick-7.0.3-7.tar.gz && \
-    tar xzf ImageMagick-7.0.3-7.tar.gz && cd ImageMagick-7.0.3-7 && ./configure && \
+    wget http://www.imagemagick.org/download/ImageMagick-7.0.3-8.tar.gz && \
+    tar xzf ImageMagick-7.0.3-8.tar.gz && cd ImageMagick-7.0.3-8 && ./configure && \
     make -j $(nproc) && make install && \
     # clean up ImageMagick source files
     cd ../ && rm -rf ImageMagick-7.0.3* && \

From 4fdcb60e3927f12fa5a585b3bf6ac702735e218a Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 29 Nov 2016 12:34:29 +1100
Subject: [PATCH 0054/1660] Add libpq-dev prereq for ibis-framework

---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index db507d0a..e401cea5 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -137,6 +137,8 @@ RUN apt-get update && \
     cd opendeep && python setup.py develop  && \
     # sasl is apparently an ibis dependency
     apt-get -y install libsasl2-dev && \
+    # ...as is psycopg2
+    apt-get install -y libpq-dev && \
     pip install ibis-framework && \
     # Cartopy plus dependencies
     yes | conda install proj4 && \

From 9e21703690a3020462767e0c4eb64e6b9c0f6f63 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 29 Nov 2016 16:59:27 +1100
Subject: [PATCH 0055/1660] Add Boruta

---
 Dockerfile | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index e401cea5..69217ac8 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -211,6 +211,12 @@ RUN apt-get update && \
     pip install orderedmultidict && \
     pip install smhasher && \
     conda install -y -c bokeh datashader && \
+    # Boruta (python implementation)
+    cd /usr/local/src && git clone https://github.com/danielhomola/boruta_py.git && \
+    cd boruta_py &&
+    # boruta_py's dependencies want to uninstall the nightlies of sklearn etc
+    sed -i "s/'numpy==1.10.4',//" setup.py && sed -i "s/'scikit-learn==0.17.1',//" setup.py && \
+    sed -i "s/'scipy==0.17.0'//" setup.py && python setup.py install && \
     # ~~~~ CLEAN UP ~~~~
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \

From f62cecae0b706c45947bc371519afabcf2f9b358 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 29 Nov 2016 19:16:25 +1100
Subject: [PATCH 0056/1660] Add missing line continuator

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 69217ac8..34db9927 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -213,7 +213,7 @@ RUN apt-get update && \
     conda install -y -c bokeh datashader && \
     # Boruta (python implementation)
     cd /usr/local/src && git clone https://github.com/danielhomola/boruta_py.git && \
-    cd boruta_py &&
+    cd boruta_py && \
     # boruta_py's dependencies want to uninstall the nightlies of sklearn etc
     sed -i "s/'numpy==1.10.4',//" setup.py && sed -i "s/'scikit-learn==0.17.1',//" setup.py && \
     sed -i "s/'scipy==0.17.0'//" setup.py && python setup.py install && \

From 39b71a1d61cc4f504e13838e8c0e9bcb9b77f719 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Wed, 30 Nov 2016 06:09:23 +1100
Subject: [PATCH 0057/1660] Switch to mbernico's updated version of Boruta

---
 Dockerfile | 7 ++-----
 1 file changed, 2 insertions(+), 5 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 34db9927..595cc7bf 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -212,11 +212,8 @@ RUN apt-get update && \
     pip install smhasher && \
     conda install -y -c bokeh datashader && \
     # Boruta (python implementation)
-    cd /usr/local/src && git clone https://github.com/danielhomola/boruta_py.git && \
-    cd boruta_py && \
-    # boruta_py's dependencies want to uninstall the nightlies of sklearn etc
-    sed -i "s/'numpy==1.10.4',//" setup.py && sed -i "s/'scikit-learn==0.17.1',//" setup.py && \
-    sed -i "s/'scipy==0.17.0'//" setup.py && python setup.py install && \
+    cd /usr/local/src && git clone https://github.com/mbernico/boruta_py.git && \
+    cd boruta_py && python setup.py install && \
     # ~~~~ CLEAN UP ~~~~
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \

From 48bce074b55978dad5742a494bdcb40d77485f4d Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Wed, 30 Nov 2016 07:06:22 +1100
Subject: [PATCH 0058/1660] Revert to master branch of Boruta

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 595cc7bf..a15809c6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -212,7 +212,7 @@ RUN apt-get update && \
     pip install smhasher && \
     conda install -y -c bokeh datashader && \
     # Boruta (python implementation)
-    cd /usr/local/src && git clone https://github.com/mbernico/boruta_py.git && \
+    cd /usr/local/src && git clone https://github.com/danielhomola/boruta_py.git && \
     cd boruta_py && python setup.py install && \
     # ~~~~ CLEAN UP ~~~~
     rm -rf /root/.cache/pip/* && \

From b1e8d0df17342447ed723613f7386bbcb403b61c Mon Sep 17 00:00:00 2001
From: gidler <garrettidler@gmail.com>
Date: Thu, 1 Dec 2016 19:23:03 -0700
Subject: [PATCH 0059/1660] Add keras-rl package

---
 Dockerfile | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index a15809c6..cc2484cb 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -64,6 +64,10 @@ RUN apt-get install -y libfreetype6-dev && \
     cd /usr/local/src && mkdir keras && cd keras && \
     git clone --depth 1 https://github.com/fchollet/keras.git && \
     cd keras && python setup.py install && \
+    #keras-rl
+    cd /usr/local/src && mkdir keras-rl && cd keras-rl && \
+    git clone --depth 1 https://github.com/matthiasplappert/keras-rl.git && \
+    cd keras-rl && python setup.py install && \
     #neon
     cd /usr/local/src && \
     git clone --depth 1 https://github.com/NervanaSystems/neon.git && \

From acd91ee55b6e3552c0fb521a9c9624c8775a59a0 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Fri, 2 Dec 2016 13:37:51 +1100
Subject: [PATCH 0060/1660] Upgrade TensorFlow to 0.12

---
 Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index a15809c6..19f60a6b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -4,8 +4,8 @@ RUN apt-get update && apt-get install -y build-essential && \
     cd /usr/local/src && \
     # https://github.com/tensorflow/tensorflow/issues/64#issuecomment-155270240
     # Why does this work, when `pip install tensorflow` fails? It is a mystery
-    wget https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.10.0rc0-cp35-cp35m-linux_x86_64.whl && \
-    pip install tensorflow-0.10.0rc0-cp35-cp35m-linux_x86_64.whl  && \
+    wget https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.0rc0-cp35-cp35m-linux_x86_64.whl && \
+    pip install tensorflow-0.12.0rc0-cp35-cp35m-linux_x86_64.whl  && \
     # Vowpal Rabbit
     apt-get install -y libboost-program-options-dev zlib1g-dev libboost-python-dev && \
     cd /usr/lib/x86_64-linux-gnu/ && rm -f libboost_python.a && rm -f libboost_python.so && \ 

From 9174981d991e5ae233cb1efa4f9588d7630cd6fd Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Fri, 2 Dec 2016 15:28:44 +1100
Subject: [PATCH 0061/1660] Update TF version in cleanup

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 204a837c..d58b126e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -40,7 +40,7 @@ RUN apt-get update && apt-get install -y build-essential && \
     cp /usr/local/lib/python3.5/site-packages/cv2.cpython-35m-x86_64-linux-gnu.so /opt/conda/lib/python3.5/site-packages/ && \
     # Clean up install cruft
     rm -rf /usr/local/src/opencv && \
-    rm /usr/local/src/tensorflow-0.10.0rc0-cp35-cp35m-linux_x86_64.whl && \
+    rm /usr/local/src/tensorflow-*.whl && \
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean
 

From c1b8fbed6d439b23ca543d57a4015f9b3981efad Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Fri, 2 Dec 2016 17:45:25 +1100
Subject: [PATCH 0062/1660] Temporarily remove cvxopt until suitesparse
 dependency is fixed

---
 Dockerfile | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index d58b126e..fcc1cc57 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -209,7 +209,9 @@ RUN apt-get update && \
     cd /usr/local/src && git clone https://github.com/scikit-learn-contrib/imbalanced-learn.git && \
     cd imbalanced-learn && python setup.py install && \
     # Convex Optimization library
-    pip install cvxopt && \
+    # Latest version fails to install, see https://github.com/cvxopt/cvxopt/issues/77
+    #    and https://github.com/cvxopt/cvxopt/issues/80
+    # pip install cvxopt && \
     # Profiling and other utilities
     pip install line_profiler && \
     pip install orderedmultidict && \

From 92abd8a1f6313ee053e60edc17fb17919bdc8638 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 5 Dec 2016 07:52:09 +1100
Subject: [PATCH 0063/1660] Remove explicit ImageMagick version pin

---
 Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index fcc1cc57..3efb6f68 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -23,8 +23,8 @@ RUN apt-get update && apt-get install -y build-essential && \
   libmagickcore-6.q16-2-extra libmagickwand-6.q16-2 libnetpbm10 libopenexr6 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 \
   libpaper-utils libpaper1 libpixman-1-0 libpng12-0 librsvg2-2 librsvg2-common libthai-data libthai0 libtiff5 libwmf0.2-7 \
   libxcb-render0 libxcb-shm0 netpbm poppler-data && \
-    wget http://www.imagemagick.org/download/ImageMagick-7.0.3-8.tar.gz && \
-    tar xzf ImageMagick-7.0.3-8.tar.gz && cd ImageMagick-7.0.3-8 && ./configure && \
+    wget http://www.imagemagick.org/download/ImageMagick.tar.gz && \
+    tar xzf ImageMagick*.tar.gz && cd `ls -d ImageMagick-*` && ./configure && \
     make -j $(nproc) && make install && \
     # clean up ImageMagick source files
     cd ../ && rm -rf ImageMagick-7.0.3* && \

From e0e0a168a8b3c118696709e8f7f6a63a8e199686 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 13 Dec 2016 12:15:48 +1100
Subject: [PATCH 0064/1660] Tidy ImageMagick cleanup, add verbose diagnostics

---
 Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 3efb6f68..72b28ddc 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -24,10 +24,10 @@ RUN apt-get update && apt-get install -y build-essential && \
   libpaper-utils libpaper1 libpixman-1-0 libpng12-0 librsvg2-2 librsvg2-common libthai-data libthai0 libtiff5 libwmf0.2-7 \
   libxcb-render0 libxcb-shm0 netpbm poppler-data && \
     wget http://www.imagemagick.org/download/ImageMagick.tar.gz && \
-    tar xzf ImageMagick*.tar.gz && cd `ls -d ImageMagick-*` && ./configure && \
+    tar xzf ImageMagick.tar.gz && cd `ls -d ImageMagick-*` && pwd && ls -al && ./configure && \
     make -j $(nproc) && make install && \
     # clean up ImageMagick source files
-    cd ../ && rm -rf ImageMagick-7.0.3* && \
+    cd ../ && rm -rf ImageMagick* && \
     apt-get -y install libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev && \
     apt-get -y install libtbb2 libtbb-dev libjpeg-dev libtiff-dev libjasper-dev && \
     apt-get -y install cmake && \

From 7ed610afcfb35ded438125bceb53f16bdf26767f Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 13 Dec 2016 13:27:50 +1100
Subject: [PATCH 0065/1660] Change path before building ImageMagick

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 72b28ddc..d698710b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -23,6 +23,7 @@ RUN apt-get update && apt-get install -y build-essential && \
   libmagickcore-6.q16-2-extra libmagickwand-6.q16-2 libnetpbm10 libopenexr6 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 \
   libpaper-utils libpaper1 libpixman-1-0 libpng12-0 librsvg2-2 librsvg2-common libthai-data libthai0 libtiff5 libwmf0.2-7 \
   libxcb-render0 libxcb-shm0 netpbm poppler-data && \
+    cd /usr/local/src && \
     wget http://www.imagemagick.org/download/ImageMagick.tar.gz && \
     tar xzf ImageMagick.tar.gz && cd `ls -d ImageMagick-*` && pwd && ls -al && ./configure && \
     make -j $(nproc) && make install && \

From 99318f63c5bf9e07c09818f48a3656822693fac3 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 13 Dec 2016 14:31:52 +1100
Subject: [PATCH 0066/1660] Limit build to 2 cores

---
 build | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/build b/build
index d2720b3f..31a702f7 100755
--- a/build
+++ b/build
@@ -4,10 +4,10 @@ set -e
 # Default behavior is to do everything from scratch.
 # The --use-cache option is useful if you're iterating on a broken build.
 if [[ "$1" ==  "--use-cache" ]]; then
-    docker build --rm -t kaggle/python-build .
+    docker build --rm --cpu-period=100000 --cpu-quota=200000 -t kaggle/python-build .
 else
     docker pull continuumio/anaconda3:latest
-    docker build --rm --no-cache -t kaggle/python-build .
+    docker build --rm --no-cache --cpu-period=100000 --cpu-quota=200000 -t kaggle/python-build .
 fi
 
 

From d4d0b203613517911f6cecf433d297d1b6492a34 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 13 Dec 2016 22:08:53 +1100
Subject: [PATCH 0067/1660] Add LightGBM

---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index d698710b..5c329dea 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -221,6 +221,8 @@ RUN apt-get update && \
     # Boruta (python implementation)
     cd /usr/local/src && git clone https://github.com/danielhomola/boruta_py.git && \
     cd boruta_py && python setup.py install && \
+    cd /usr/local/src && git clone --recursive --depth 1 https://github.com/Microsoft/LightGBM && \
+    cd LightGBM && mkdir build && cd build && cmake .. && make -j $(nproc) && \
     # ~~~~ CLEAN UP ~~~~
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \

From 885e55fb1f565a91613595e5226eeedce789536e Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Wed, 14 Dec 2016 06:03:59 +1100
Subject: [PATCH 0068/1660] Install LightGBM python wrapper

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 5c329dea..f3b5d117 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -223,6 +223,7 @@ RUN apt-get update && \
     cd boruta_py && python setup.py install && \
     cd /usr/local/src && git clone --recursive --depth 1 https://github.com/Microsoft/LightGBM && \
     cd LightGBM && mkdir build && cd build && cmake .. && make -j $(nproc) && \
+    cd python-package && python setup.py install && \
     # ~~~~ CLEAN UP ~~~~
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \

From c3ad4129fa9f2d677770895cb2572f33e67afb7c Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Wed, 14 Dec 2016 06:56:59 +1100
Subject: [PATCH 0069/1660] Remove malfunctioning framenet_v15 download

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index f3b5d117..f8d58d49 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -104,7 +104,7 @@ RUN apt-get install -y libfreetype6-dev && \
     averaged_perceptron_tagger basque_grammars biocreative_ppi bllip_wsj_no_aux \
 book_grammars brown brown_tei cess_cat cess_esp chat80 city_database cmudict \
 comparative_sentences comtrans conll2000 conll2002 conll2007 crubadan dependency_treebank \
-europarl_raw floresta framenet_v15 gazetteers genesis gutenberg hmm_treebank_pos_tagger \
+europarl_raw floresta gazetteers genesis gutenberg hmm_treebank_pos_tagger \
 ieer inaugural indian jeita kimmo knbc large_grammars lin_thesaurus mac_morpho machado \
 masc_tagged maxent_ne_chunker maxent_treebank_pos_tagger moses_sample movie_reviews \
 mte_teip5 names nps_chat omw opinion_lexicon paradigms \

From 0975663fffde4090a894cae9551ab62b7112658b Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Wed, 14 Dec 2016 09:21:06 +1100
Subject: [PATCH 0070/1660] Correct path for LightGBM python package

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index f8d58d49..d7d22e30 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -223,7 +223,7 @@ RUN apt-get update && \
     cd boruta_py && python setup.py install && \
     cd /usr/local/src && git clone --recursive --depth 1 https://github.com/Microsoft/LightGBM && \
     cd LightGBM && mkdir build && cd build && cmake .. && make -j $(nproc) && \
-    cd python-package && python setup.py install && \
+    cd /usr/local/src/LightGBM/python-package && python setup.py install && \
     # ~~~~ CLEAN UP ~~~~
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \

From 5d2c709b12c30c49d3f27b70cc051fbc69de7af5 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Fri, 16 Dec 2016 06:58:21 +1100
Subject: [PATCH 0071/1660] Add pyeconometrics (thanks ljx0520)

---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index d7d22e30..42a1f605 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -224,6 +224,8 @@ RUN apt-get update && \
     cd /usr/local/src && git clone --recursive --depth 1 https://github.com/Microsoft/LightGBM && \
     cd LightGBM && mkdir build && cd build && cmake .. && make -j $(nproc) && \
     cd /usr/local/src/LightGBM/python-package && python setup.py install && \
+    cd /usr/local/src && git clone git://github.com/nicolashennetier/pyeconometrics.git && \
+    cd pyeconometrics && python setup.py install
     # ~~~~ CLEAN UP ~~~~
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \

From 5385a91a6742e73c60cfeea1e9d9c262388d34da Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Fri, 16 Dec 2016 09:46:08 +1100
Subject: [PATCH 0072/1660] Circumvent intermittent apt-get failures

---
 Dockerfile | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 42a1f605..88161c76 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,6 +1,9 @@
 FROM continuumio/anaconda3:latest
 
-RUN apt-get update && apt-get install -y build-essential && \
+    # Use a fixed apt-get repo to stop intermittent failures due to flaky httpredir connections,
+    # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
+RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \
+    apt-get update && apt-get install -y build-essential && \
     cd /usr/local/src && \
     # https://github.com/tensorflow/tensorflow/issues/64#issuecomment-155270240
     # Why does this work, when `pip install tensorflow` fails? It is a mystery

From 2711acf53d220cfd547374096cc9e02c4def84b6 Mon Sep 17 00:00:00 2001
From: wjpjet <wjp2112@columbia.edu>
Date: Fri, 16 Dec 2016 01:16:34 -0500
Subject: [PATCH 0073/1660] Added missing line continuation

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 88161c76..1a61ca8a 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -228,7 +228,7 @@ RUN apt-get update && \
     cd LightGBM && mkdir build && cd build && cmake .. && make -j $(nproc) && \
     cd /usr/local/src/LightGBM/python-package && python setup.py install && \
     cd /usr/local/src && git clone git://github.com/nicolashennetier/pyeconometrics.git && \
-    cd pyeconometrics && python setup.py install
+    cd pyeconometrics && python setup.py install && \
     # ~~~~ CLEAN UP ~~~~
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \

From 2525608dd92e4a341654fea3971825e8e1e05ca2 Mon Sep 17 00:00:00 2001
From: Iceman121 <shashwatpat@gmail.com>
Date: Sat, 17 Dec 2016 09:05:01 +0800
Subject: [PATCH 0074/1660] Update Dockerfile

---
 Dockerfile | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 1a61ca8a..05aa953a 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -278,6 +278,10 @@ RUN pip install --upgrade mpld3 && \
     pip install altair && \
     pip install pystan && \
     pip install ImageHash && \
+    
+    #Installation of Imputation module
+    pip install fancyimput && \
+    
     pip install git+https://github.com/pymc-devs/pymc3 && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache

From d684910b00877fd91fcd0899c79b28f047ae0814 Mon Sep 17 00:00:00 2001
From: Gabriel <gabriel.altay@gmail.com>
Date: Mon, 19 Dec 2016 22:30:25 -0500
Subject: [PATCH 0075/1660] pip install tifffile and descartes

---
 Dockerfile | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 1a61ca8a..a0354170 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -11,7 +11,7 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     pip install tensorflow-0.12.0rc0-cp35-cp35m-linux_x86_64.whl  && \
     # Vowpal Rabbit
     apt-get install -y libboost-program-options-dev zlib1g-dev libboost-python-dev && \
-    cd /usr/lib/x86_64-linux-gnu/ && rm -f libboost_python.a && rm -f libboost_python.so && \ 
+    cd /usr/lib/x86_64-linux-gnu/ && rm -f libboost_python.a && rm -f libboost_python.so && \
     ln -sf libboost_python-py34.so libboost_python.so && ln -sf libboost_python-py34.a libboost_python.a && \
     pip install vowpalwabbit && \
     pip install seaborn python-dateutil dask pytagcloud pyyaml ggplot joblib \
@@ -279,6 +279,8 @@ RUN pip install --upgrade mpld3 && \
     pip install pystan && \
     pip install ImageHash && \
     pip install git+https://github.com/pymc-devs/pymc3 && \
+    pip install tifffile && \
+    pip install descartes && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From e4df3c682d499629fe9654eb007e8bd43a28dd7e Mon Sep 17 00:00:00 2001
From: Gabriel <gabriel.altay@gmail.com>
Date: Tue, 20 Dec 2016 16:03:53 -0500
Subject: [PATCH 0076/1660] tacked on the geojson module as well

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index a0354170..c9ab8c73 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -281,6 +281,7 @@ RUN pip install --upgrade mpld3 && \
     pip install git+https://github.com/pymc-devs/pymc3 && \
     pip install tifffile && \
     pip install descartes && \
+    pip install geojson && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 05e5089c6dd32697cf787b732e826b454695ac1f Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Wed, 21 Dec 2016 09:21:37 +1100
Subject: [PATCH 0077/1660] Correct installation of Fancyimpute

---
 Dockerfile | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index c7d4464c..fb28f1d0 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -278,10 +278,7 @@ RUN pip install --upgrade mpld3 && \
     pip install altair && \
     pip install pystan && \
     pip install ImageHash && \
-    
-    #Installation of Imputation module
-    pip install fancyimput && \
-    
+    pip install git+https://github.com/hammerlab/fancyimpute.git && \
     pip install git+https://github.com/pymc-devs/pymc3 && \
     pip install tifffile && \
     pip install descartes && \

From 24229d33ff88f5c6f0c409ffef21526ab856e3dc Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Thu, 22 Dec 2016 14:01:53 +1100
Subject: [PATCH 0078/1660] Add pysal (thanks ljx0520)

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index fb28f1d0..ff6ee401 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -283,6 +283,7 @@ RUN pip install --upgrade mpld3 && \
     pip install tifffile && \
     pip install descartes && \
     pip install geojson && \
+    pip install pysal && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From a80b1dc8efa12a1433bc8087990765b7fdcfd76c Mon Sep 17 00:00:00 2001
From: mithrillion <aeroumbria@gmail.com>
Date: Thu, 22 Dec 2016 20:57:09 +1100
Subject: [PATCH 0079/1660] add GDAL

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index ff6ee401..90a0940a 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -284,6 +284,7 @@ RUN pip install --upgrade mpld3 && \
     pip install descartes && \
     pip install geojson && \
     pip install pysal && \
+    conda install -y gdal && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 2dae20a923ac6fac85c1f56279ed69469dbcb993 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 9 Jan 2017 07:47:15 +1100
Subject: [PATCH 0080/1660] Add PyFlux (thanks matsavage!)

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 90a0940a..817a8b97 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -285,6 +285,7 @@ RUN pip install --upgrade mpld3 && \
     pip install geojson && \
     pip install pysal && \
     conda install -y gdal && \
+    pip install pyflux && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From e1497d77e1d7aa0ddd4e09b9c4558dad7a913710 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 9 Jan 2017 07:58:43 +1100
Subject: [PATCH 0081/1660] Add terminalplot

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 817a8b97..99cc7eee 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -286,6 +286,7 @@ RUN pip install --upgrade mpld3 && \
     pip install pysal && \
     conda install -y gdal && \
     pip install pyflux && \
+    pip install terminalplot && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From d82eb65030df39c65ac777143b0f579e4f784fa5 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 10 Jan 2017 07:33:16 +1100
Subject: [PATCH 0082/1660] Add graphviz

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 99cc7eee..87505891 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -229,6 +229,7 @@ RUN apt-get update && \
     cd /usr/local/src/LightGBM/python-package && python setup.py install && \
     cd /usr/local/src && git clone git://github.com/nicolashennetier/pyeconometrics.git && \
     cd pyeconometrics && python setup.py install && \
+    apt-get install -y graphviz && pip install graphviz && \
     # ~~~~ CLEAN UP ~~~~
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \

From e1e5bec8700e88b8c463e5bb4c8890fee615a402 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 10 Jan 2017 12:12:52 +1100
Subject: [PATCH 0083/1660] Add geopandas

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 87505891..a763c8dc 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -230,6 +230,7 @@ RUN apt-get update && \
     cd /usr/local/src && git clone git://github.com/nicolashennetier/pyeconometrics.git && \
     cd pyeconometrics && python setup.py install && \
     apt-get install -y graphviz && pip install graphviz && \
+    apt-get install -y libgdal1-dev && GDAL_CONFIG=/usr/bin/gdal-config pip install fiona && pip install geopandas && \
     # ~~~~ CLEAN UP ~~~~
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \

From 33e6c1c124ec2901553b044bc804063c57e668de Mon Sep 17 00:00:00 2001
From: wcuk <wcukierski@gmail.com>
Date: Tue, 10 Jan 2017 15:29:52 -0500
Subject: [PATCH 0084/1660] Adding pydicom

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index a763c8dc..572ade96 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -289,6 +289,7 @@ RUN pip install --upgrade mpld3 && \
     conda install -y gdal && \
     pip install pyflux && \
     pip install terminalplot && \
+    pip install pydicom && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 3c18ded2daf24448e1e5a102a3f48609c67b43c1 Mon Sep 17 00:00:00 2001
From: Megan Risdal <mrisdal@gmail.com>
Date: Wed, 11 Jan 2017 18:04:45 -0500
Subject: [PATCH 0085/1660] Add wavio to read wav files using numpy arrays

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 572ade96..80483efd 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -290,6 +290,7 @@ RUN pip install --upgrade mpld3 && \
     pip install pyflux && \
     pip install terminalplot && \
     pip install pydicom && \
+    pip install wavio && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 3601dfaad9ac3cacb472f201e704af0732eaebb7 Mon Sep 17 00:00:00 2001
From: Kevin Mader <kmader@users.noreply.github.com>
Date: Fri, 13 Jan 2017 18:41:05 +0100
Subject: [PATCH 0086/1660] Update Dockerfile

adding SimpleITK for processing and handling DICOM volumes
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 572ade96..597993ba 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -290,6 +290,7 @@ RUN pip install --upgrade mpld3 && \
     pip install pyflux && \
     pip install terminalplot && \
     pip install pydicom && \
+    conda install --channel https://conda.anaconda.org/SimpleITK --quiet --yes 'SimpleITK=0.10.0' && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From e1ea5926291ef6ad4339130a2015669215da447b Mon Sep 17 00:00:00 2001
From: Kevin Mader <kmader@users.noreply.github.com>
Date: Fri, 13 Jan 2017 18:50:05 +0100
Subject: [PATCH 0087/1660] Update Dockerfile

Adding p7zip-full for extracting files from 7z archives (needed for DSB2017)
---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 572ade96..34485d68 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -25,7 +25,7 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
   libilmbase6 libjasper1 libjbig0 libjbig2dec0 libjpeg62-turbo liblcms2-2 liblqr-1-0 libltdl7 libmagickcore-6.q16-2 \
   libmagickcore-6.q16-2-extra libmagickwand-6.q16-2 libnetpbm10 libopenexr6 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 \
   libpaper-utils libpaper1 libpixman-1-0 libpng12-0 librsvg2-2 librsvg2-common libthai-data libthai0 libtiff5 libwmf0.2-7 \
-  libxcb-render0 libxcb-shm0 netpbm poppler-data && \
+  libxcb-render0 libxcb-shm0 netpbm poppler-data p7zip-full && \
     cd /usr/local/src && \
     wget http://www.imagemagick.org/download/ImageMagick.tar.gz && \
     tar xzf ImageMagick.tar.gz && cd `ls -d ImageMagick-*` && pwd && ls -al && ./configure && \

From 2902fcac85839ba611db7d43f1da77d63874eb20 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 16 Jan 2017 18:45:45 +1100
Subject: [PATCH 0088/1660] Add Raccoon

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 572ade96..c616b1eb 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -290,6 +290,7 @@ RUN pip install --upgrade mpld3 && \
     pip install pyflux && \
     pip install terminalplot && \
     pip install pydicom && \
+    pip install raccoon && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 58ba5bc4bd7d1984817c3ad08ef8fc63a007834e Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 16 Jan 2017 20:08:28 +1100
Subject: [PATCH 0089/1660] Remove averaged_perceptron_tagger (network error)

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 2b6eb6b3..c5c71170 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -104,7 +104,7 @@ RUN apt-get install -y libfreetype6-dev && \
     # NLTK Downloader no longer continues smoothly after an error, so we explicitly list
     # the corpuses that work
     python -m nltk.downloader -d /usr/share/nltk_data abc alpino \
-    averaged_perceptron_tagger basque_grammars biocreative_ppi bllip_wsj_no_aux \
+    basque_grammars biocreative_ppi bllip_wsj_no_aux \
 book_grammars brown brown_tei cess_cat cess_esp chat80 city_database cmudict \
 comparative_sentences comtrans conll2000 conll2002 conll2007 crubadan dependency_treebank \
 europarl_raw floresta gazetteers genesis gutenberg hmm_treebank_pos_tagger \

From a2c7af3c736c41919bf44e84704254058f22c824 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Wed, 18 Jan 2017 07:18:48 +1100
Subject: [PATCH 0090/1660] Reinstate problematic NLTK datasets

---
 Dockerfile | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index c5c71170..b5da6422 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -103,7 +103,7 @@ RUN apt-get install -y libfreetype6-dev && \
     mkdir -p /usr/share/nltk_data && \
     # NLTK Downloader no longer continues smoothly after an error, so we explicitly list
     # the corpuses that work
-    python -m nltk.downloader -d /usr/share/nltk_data abc alpino \
+    python -m nltk.downloader -d /usr/share/nltk_data abc alpino averaged_perceptron_tagger \
     basque_grammars biocreative_ppi bllip_wsj_no_aux \
 book_grammars brown brown_tei cess_cat cess_esp chat80 city_database cmudict \
 comparative_sentences comtrans conll2000 conll2002 conll2007 crubadan dependency_treebank \
@@ -111,8 +111,8 @@ europarl_raw floresta gazetteers genesis gutenberg hmm_treebank_pos_tagger \
 ieer inaugural indian jeita kimmo knbc large_grammars lin_thesaurus mac_morpho machado \
 masc_tagged maxent_ne_chunker maxent_treebank_pos_tagger moses_sample movie_reviews \
 mte_teip5 names nps_chat omw opinion_lexicon paradigms \
-pil pl196x ppattach problem_reports product_reviews_1 product_reviews_2 propbank \
-pros_cons ptb punkt qc reuters rslp rte sample_grammars semcor sentence_polarity \
+pil pl196x porter_test ppattach problem_reports product_reviews_1 product_reviews_2 propbank \
+pros_cons ptb punkt qc reuters rslp rte sample_grammars semcor senseval sentence_polarity \
 sentiwordnet shakespeare sinica_treebank smultron snowball_data spanish_grammars \
 state_union stopwords subjectivity swadesh switchboard tagsets timit toolbox treebank \
 twitter_samples udhr2 udhr unicode_samples universal_tagset universal_treebanks_v20 \

From e7052d555503c214d56152770ead0d44ad31f54d Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Thu, 19 Jan 2017 08:40:27 +1100
Subject: [PATCH 0091/1660] Reinstate wavio

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index b5da6422..f6086c29 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -291,6 +291,7 @@ RUN pip install --upgrade mpld3 && \
     pip install terminalplot && \
     pip install raccoon && \
     pip install pydicom && \
+    pip install wavio && \
     conda install --channel https://conda.anaconda.org/SimpleITK --quiet --yes 'SimpleITK=0.10.0' && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache

From 2fafd0f4d5a50ba05e47baf015e6e1f6c1b04ed4 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Fri, 20 Jan 2017 06:22:34 +1100
Subject: [PATCH 0092/1660] Add hmmlearn

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index f6086c29..eb469597 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -293,6 +293,7 @@ RUN pip install --upgrade mpld3 && \
     pip install pydicom && \
     pip install wavio && \
     conda install --channel https://conda.anaconda.org/SimpleITK --quiet --yes 'SimpleITK=0.10.0' && \
+    pip install -U --user hmmlearn && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 6c0de2f01a20b23f93b38d12a0760742653b7cbe Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 23 Jan 2017 13:25:08 +1100
Subject: [PATCH 0093/1660] Adjust hmmlearn install

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index eb469597..16b05020 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -293,7 +293,7 @@ RUN pip install --upgrade mpld3 && \
     pip install pydicom && \
     pip install wavio && \
     conda install --channel https://conda.anaconda.org/SimpleITK --quiet --yes 'SimpleITK=0.10.0' && \
-    pip install -U --user hmmlearn && \
+    pip install hmmlearn && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 4c8faa6fb5f12cf017813800209f2114b8b07f54 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Fri, 27 Jan 2017 15:01:36 +1100
Subject: [PATCH 0094/1660] Update Pandas to most recent version

---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 16b05020..2422165a 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -4,6 +4,8 @@ FROM continuumio/anaconda3:latest
     # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
 RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \
     apt-get update && apt-get install -y build-essential && \
+    # Newer version of Pandas than comes with continuumio/anaconda3
+    conda uninstall -y pandas && pip install pandas && \
     cd /usr/local/src && \
     # https://github.com/tensorflow/tensorflow/issues/64#issuecomment-155270240
     # Why does this work, when `pip install tensorflow` fails? It is a mystery

From 8613e38914920486c49bdf06777348bfc2aaa00a Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 30 Jan 2017 15:51:11 +1100
Subject: [PATCH 0095/1660] Add PyEarth

---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 2422165a..c9743613 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -233,6 +233,8 @@ RUN apt-get update && \
     cd pyeconometrics && python setup.py install && \
     apt-get install -y graphviz && pip install graphviz && \
     apt-get install -y libgdal1-dev && GDAL_CONFIG=/usr/bin/gdal-config pip install fiona && pip install geopandas && \
+    cd /usr/local/src && git clone git://github.com/scikit-learn-contrib/py-earth.git && \
+    cd py-earth && python setup.py install && \
     # ~~~~ CLEAN UP ~~~~
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \

From c522dfd90c82583ef72f828fc4b0035d4d73f307 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 30 Jan 2017 15:55:21 +1100
Subject: [PATCH 0096/1660] Add BayesPy

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index c9743613..aa5ab787 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -298,6 +298,7 @@ RUN pip install --upgrade mpld3 && \
     pip install wavio && \
     conda install --channel https://conda.anaconda.org/SimpleITK --quiet --yes 'SimpleITK=0.10.0' && \
     pip install hmmlearn && \
+    pip install bayespy && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 5250ef4625b4ea5660c44aaf3eb3f882c8747778 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 31 Jan 2017 11:04:07 +1100
Subject: [PATCH 0097/1660] Add gplearn

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index aa5ab787..83037ef0 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -299,6 +299,7 @@ RUN pip install --upgrade mpld3 && \
     conda install --channel https://conda.anaconda.org/SimpleITK --quiet --yes 'SimpleITK=0.10.0' && \
     pip install hmmlearn && \
     pip install bayespy && \
+    pip install gplearn && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 65b94fe088f61a16eb8cff9435ea3f9fd9d13a75 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 31 Jan 2017 11:21:13 +1100
Subject: [PATCH 0098/1660] Add PyAstronomy

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 83037ef0..ceca1e95 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -300,6 +300,7 @@ RUN pip install --upgrade mpld3 && \
     pip install hmmlearn && \
     pip install bayespy && \
     pip install gplearn && \
+    pip install PyAstronomy && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 55e1a165838edc5b4c513296335852bcf504791c Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Wed, 1 Feb 2017 15:42:32 +1100
Subject: [PATCH 0099/1660] Cache keras weights for transfer learning

---
 Dockerfile             | 3 +++
 cache_keras_weights.py | 9 +++++++++
 2 files changed, 12 insertions(+)
 create mode 100644 cache_keras_weights.py

diff --git a/Dockerfile b/Dockerfile
index ceca1e95..896cd3b6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,5 +1,7 @@
 FROM continuumio/anaconda3:latest
 
+ADD cache_keras_weights.py
+
     # Use a fixed apt-get repo to stop intermittent failures due to flaky httpredir connections,
     # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
 RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \
@@ -235,6 +237,7 @@ RUN apt-get update && \
     apt-get install -y libgdal1-dev && GDAL_CONFIG=/usr/bin/gdal-config pip install fiona && pip install geopandas && \
     cd /usr/local/src && git clone git://github.com/scikit-learn-contrib/py-earth.git && \
     cd py-earth && python setup.py install && \
+    cd && python cache_keras_weights.py && \
     # ~~~~ CLEAN UP ~~~~
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \
diff --git a/cache_keras_weights.py b/cache_keras_weights.py
new file mode 100644
index 00000000..b20529f9
--- /dev/null
+++ b/cache_keras_weights.py
@@ -0,0 +1,9 @@
+from keras.applications.resnet50 import ResNet50
+from keras.applications.vgg16 import VGG16
+from keras.applications.vgg19 import VGG19
+from keras.applications.inception_v3 import InceptionV3
+
+resnet = ResNet50(weights='imagenet')
+vgg16 = VGG16(weights='imagenet')
+vgg19 = VGG19(weights='imagenet')
+inception = InceptionV3(weights='imagenet')

From b4f7fcd84465e1dea1e89e8b115b8dcca796c969 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Wed, 1 Feb 2017 15:46:51 +1100
Subject: [PATCH 0100/1660] Correct syntax on Docker add

---
 Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 896cd3b6..c314f9ce 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,6 +1,6 @@
 FROM continuumio/anaconda3:latest
 
-ADD cache_keras_weights.py
+ADD cache_keras_weights.py /usr/local/src/cache_keras_weights.py
 
     # Use a fixed apt-get repo to stop intermittent failures due to flaky httpredir connections,
     # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
@@ -123,6 +123,7 @@ twitter_samples udhr2 udhr unicode_samples universal_tagset universal_treebanks_
 vader_lexicon verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe && \
     # Stop-words
     pip install stop-words && \
+    cd /usr/local/src && python cache_keras_weights.py && \
     # clean up
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \
@@ -237,7 +238,6 @@ RUN apt-get update && \
     apt-get install -y libgdal1-dev && GDAL_CONFIG=/usr/bin/gdal-config pip install fiona && pip install geopandas && \
     cd /usr/local/src && git clone git://github.com/scikit-learn-contrib/py-earth.git && \
     cd py-earth && python setup.py install && \
-    cd && python cache_keras_weights.py && \
     # ~~~~ CLEAN UP ~~~~
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \

From a47f228c5bd1e2cb38d551f92a38977d33d6725a Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Wed, 1 Feb 2017 16:42:42 +1100
Subject: [PATCH 0101/1660] Remove broken comparative_sentences corpus

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index c314f9ce..555576f7 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -110,7 +110,7 @@ RUN apt-get install -y libfreetype6-dev && \
     python -m nltk.downloader -d /usr/share/nltk_data abc alpino averaged_perceptron_tagger \
     basque_grammars biocreative_ppi bllip_wsj_no_aux \
 book_grammars brown brown_tei cess_cat cess_esp chat80 city_database cmudict \
-comparative_sentences comtrans conll2000 conll2002 conll2007 crubadan dependency_treebank \
+comtrans conll2000 conll2002 conll2007 crubadan dependency_treebank \
 europarl_raw floresta gazetteers genesis gutenberg hmm_treebank_pos_tagger \
 ieer inaugural indian jeita kimmo knbc large_grammars lin_thesaurus mac_morpho machado \
 masc_tagged maxent_ne_chunker maxent_treebank_pos_tagger moses_sample movie_reviews \

From 00e0205fde7b5fca2a7345a09e5e4a163fc252f1 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 6 Feb 2017 10:45:33 +1100
Subject: [PATCH 0102/1660] Add pytorch

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 555576f7..8494ff70 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -304,6 +304,7 @@ RUN pip install --upgrade mpld3 && \
     pip install bayespy && \
     pip install gplearn && \
     pip install PyAstronomy && \
+    conda install pytorch torchvision -c soumith && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 99412cbaf388cee722271fdee366acb394ad456e Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 6 Feb 2017 10:46:09 +1100
Subject: [PATCH 0103/1660] Add squarify

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 8494ff70..c6f946fb 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -305,6 +305,7 @@ RUN pip install --upgrade mpld3 && \
     pip install gplearn && \
     pip install PyAstronomy && \
     conda install pytorch torchvision -c soumith && \
+    pip install squarify && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 8b4fc00e7a5ac1d416d54952cbb6d09ef328a9c3 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 6 Feb 2017 10:50:21 +1100
Subject: [PATCH 0104/1660] Add Xception to keras cache

---
 cache_keras_weights.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/cache_keras_weights.py b/cache_keras_weights.py
index b20529f9..a7318768 100644
--- a/cache_keras_weights.py
+++ b/cache_keras_weights.py
@@ -2,8 +2,10 @@
 from keras.applications.vgg16 import VGG16
 from keras.applications.vgg19 import VGG19
 from keras.applications.inception_v3 import InceptionV3
+from keras.applications.xception import Xception
 
 resnet = ResNet50(weights='imagenet')
 vgg16 = VGG16(weights='imagenet')
 vgg19 = VGG19(weights='imagenet')
 inception = InceptionV3(weights='imagenet')
+xception = Xception(weights='imagenet')

From a31626cfe4549864fd30c0a3b7b4145efc87d803 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 6 Feb 2017 11:28:24 +1100
Subject: [PATCH 0105/1660] Update TensorFlow to 0.12.1

---
 Dockerfile | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index c6f946fb..bef54856 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -11,8 +11,9 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     cd /usr/local/src && \
     # https://github.com/tensorflow/tensorflow/issues/64#issuecomment-155270240
     # Why does this work, when `pip install tensorflow` fails? It is a mystery
-    wget https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.0rc0-cp35-cp35m-linux_x86_64.whl && \
-    pip install tensorflow-0.12.0rc0-cp35-cp35m-linux_x86_64.whl  && \
+    wget https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.1-cp35-cp35m-linux_x86_64.whl
+ && \
+    pip install tensorflow-0.12.1-cp35-cp35m-linux_x86_64.whl  && \
     # Vowpal Rabbit
     apt-get install -y libboost-program-options-dev zlib1g-dev libboost-python-dev && \
     cd /usr/lib/x86_64-linux-gnu/ && rm -f libboost_python.a && rm -f libboost_python.so && \

From f69a15fad463fce097fe9e5038a26e3485bf2e8f Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 6 Feb 2017 11:36:44 +1100
Subject: [PATCH 0106/1660] Remove stray linebreak

---
 Dockerfile | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index bef54856..cc72e60d 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -11,9 +11,8 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     cd /usr/local/src && \
     # https://github.com/tensorflow/tensorflow/issues/64#issuecomment-155270240
     # Why does this work, when `pip install tensorflow` fails? It is a mystery
-    wget https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.1-cp35-cp35m-linux_x86_64.whl
- && \
-    pip install tensorflow-0.12.1-cp35-cp35m-linux_x86_64.whl  && \
+    wget https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.1-cp35-cp35m-linux_x86_64.whl && \
+    pip install tensorflow-0.12.1-cp35-cp35m-linux_x86_64.whl && \
     # Vowpal Rabbit
     apt-get install -y libboost-program-options-dev zlib1g-dev libboost-python-dev && \
     cd /usr/lib/x86_64-linux-gnu/ && rm -f libboost_python.a && rm -f libboost_python.so && \

From 5b0164aafabbccfc36e91ebf032232c5e6282288 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 6 Feb 2017 16:46:54 +1100
Subject: [PATCH 0107/1660] Cheeky patch to make TF accept Python 3.6

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index cc72e60d..d0a37916 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -12,7 +12,8 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     # https://github.com/tensorflow/tensorflow/issues/64#issuecomment-155270240
     # Why does this work, when `pip install tensorflow` fails? It is a mystery
     wget https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.1-cp35-cp35m-linux_x86_64.whl && \
-    pip install tensorflow-0.12.1-cp35-cp35m-linux_x86_64.whl && \
+    mv tensorflow-0.12.1-cp35-cp35m-linux_x86_64.whl tensorflow-0.12.1-cp36-cp36m-linux_x86_64.whl && \
+    pip install tensorflow-0.12.1-cp36-cp36m-linux_x86_64.whl && \
     # Vowpal Rabbit
     apt-get install -y libboost-program-options-dev zlib1g-dev libboost-python-dev && \
     cd /usr/lib/x86_64-linux-gnu/ && rm -f libboost_python.a && rm -f libboost_python.so && \

From e055a16635f3ef65307ea24af88edaae001e0f8b Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 6 Feb 2017 18:00:01 +1100
Subject: [PATCH 0108/1660] Update build links for Python 3.6

---
 Dockerfile | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index d0a37916..c54af5ca 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -43,10 +43,10 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     cd /usr/local/src && git clone --depth 1 https://github.com/Itseez/opencv.git && \
     cd opencv && \
     mkdir build && cd build && \
-    cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D WITH_FFMPEG=OFF -D WITH_V4L=ON -D WITH_QT=OFF -D WITH_OPENGL=ON -D PYTHON3_LIBRARY=/opt/conda/lib/libpython3.5m.so -D PYTHON3_INCLUDE_DIR=/opt/conda/include/python3.5m/ -D PYTHON_LIBRARY=/opt/conda/lib/libpython3.5m.so -D PYTHON_INCLUDE_DIR=/opt/conda/include/python3.5m/ -D BUILD_PNG=TRUE .. && \
+    cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D WITH_FFMPEG=OFF -D WITH_V4L=ON -D WITH_QT=OFF -D WITH_OPENGL=ON -D PYTHON3_LIBRARY=/opt/conda/lib/libpython3.6m.so -D PYTHON3_INCLUDE_DIR=/opt/conda/include/python3.6m/ -D PYTHON_LIBRARY=/opt/conda/lib/libpython3.6m.so -D PYTHON_INCLUDE_DIR=/opt/conda/include/python3.6m/ -D BUILD_PNG=TRUE .. && \
     make -j $(nproc) && make install && \
-    echo "/usr/local/lib/python3.5/site-packages" > /etc/ld.so.conf.d/opencv.conf && ldconfig && \
-    cp /usr/local/lib/python3.5/site-packages/cv2.cpython-35m-x86_64-linux-gnu.so /opt/conda/lib/python3.5/site-packages/ && \
+    echo "/usr/local/lib/python3.6/site-packages" > /etc/ld.so.conf.d/opencv.conf && ldconfig && \
+    cp /usr/local/lib/python3.6/site-packages/cv2.cpython-36m-x86_64-linux-gnu.so /opt/conda/lib/python3.6/site-packages/ && \
     # Clean up install cruft
     rm -rf /usr/local/src/opencv && \
     rm /usr/local/src/tensorflow-*.whl && \
@@ -173,7 +173,7 @@ RUN apt-get update && \
     mkdir -p /root/.jupyter && touch /root/.jupyter/jupyter_nbconvert_config.py && touch /root/.jupyter/migrated && \
     mkdir -p /.jupyter && touch /.jupyter/jupyter_nbconvert_config.py && touch /.jupyter/migrated && \
     # Stop Matplotlib printing junk to the console on first load
-    sed -i "s/^.*Matplotlib is building the font cache using fc-list.*$/# Warning removed by Kaggle/g" /opt/conda/lib/python3.5/site-packages/matplotlib/font_manager.py && \
+    sed -i "s/^.*Matplotlib is building the font cache using fc-list.*$/# Warning removed by Kaggle/g" /opt/conda/lib/python3.6/site-packages/matplotlib/font_manager.py && \
     # Make matplotlib output in Jupyter notebooks display correctly
     mkdir -p /etc/ipython/ && echo "c = get_config(); c.IPKernelApp.matplotlib = 'inline'" > /etc/ipython/ipython_config.py && \
     # h2o

From 2627937621f64c29dcb3edc68438d8396887c105 Mon Sep 17 00:00:00 2001
From: Thomas Vanesse <vanessethomas@gmail.com>
Date: Tue, 7 Feb 2017 11:48:28 +0100
Subject: [PATCH 0109/1660] Added a new dependency to `pyexcel-ods`

This package provides some tools to read from `.ods` files (LibreOffice/OpenOffice).
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index c54af5ca..27842b5c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -307,6 +307,7 @@ RUN pip install --upgrade mpld3 && \
     pip install PyAstronomy && \
     conda install pytorch torchvision -c soumith && \
     pip install squarify && \
+    pip install pyexcel-ods && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 1b626c2b48fb3956dad87b337551f236f9ef1671 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Thu, 9 Feb 2017 10:50:19 +1100
Subject: [PATCH 0110/1660] pip install tensorflow now works, hooray

---
 Dockerfile | 6 +-----
 1 file changed, 1 insertion(+), 5 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index c54af5ca..01be7ea3 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -9,11 +9,7 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     # Newer version of Pandas than comes with continuumio/anaconda3
     conda uninstall -y pandas && pip install pandas && \
     cd /usr/local/src && \
-    # https://github.com/tensorflow/tensorflow/issues/64#issuecomment-155270240
-    # Why does this work, when `pip install tensorflow` fails? It is a mystery
-    wget https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.1-cp35-cp35m-linux_x86_64.whl && \
-    mv tensorflow-0.12.1-cp35-cp35m-linux_x86_64.whl tensorflow-0.12.1-cp36-cp36m-linux_x86_64.whl && \
-    pip install tensorflow-0.12.1-cp36-cp36m-linux_x86_64.whl && \
+    pip install tensorflow && \
     # Vowpal Rabbit
     apt-get install -y libboost-program-options-dev zlib1g-dev libboost-python-dev && \
     cd /usr/lib/x86_64-linux-gnu/ && rm -f libboost_python.a && rm -f libboost_python.so && \

From 761ef6e7e86ef69db10aeca11ddf7f57ee79c9e3 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Thu, 9 Feb 2017 10:51:32 +1100
Subject: [PATCH 0111/1660] Add fuzzywuzzy

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 01be7ea3..26faf9ec 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -303,6 +303,7 @@ RUN pip install --upgrade mpld3 && \
     pip install PyAstronomy && \
     conda install pytorch torchvision -c soumith && \
     pip install squarify && \
+    pip install fuzzywuzzy && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 71cd6c5ee9315235dac6bd7171d06b979aff5967 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Thu, 9 Feb 2017 10:52:15 +1100
Subject: [PATCH 0112/1660] Add python-louvain

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 26faf9ec..284f16a7 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -304,6 +304,7 @@ RUN pip install --upgrade mpld3 && \
     conda install pytorch torchvision -c soumith && \
     pip install squarify && \
     pip install fuzzywuzzy && \
+    pip install python-louvain && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 9113a2d88994bb24a19ae62e160b70d1a52ed88f Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Thu, 9 Feb 2017 11:26:12 +1100
Subject: [PATCH 0113/1660] Tidy up tensorflow tidy-up

---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 66f177c1..c0fc4f1d 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -45,7 +45,6 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     cp /usr/local/lib/python3.6/site-packages/cv2.cpython-36m-x86_64-linux-gnu.so /opt/conda/lib/python3.6/site-packages/ && \
     # Clean up install cruft
     rm -rf /usr/local/src/opencv && \
-    rm /usr/local/src/tensorflow-*.whl && \
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean
 

From 8be5be6bab5aeb7186240727ec4c371f6d42d4a2 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Thu, 9 Feb 2017 13:27:27 +1100
Subject: [PATCH 0114/1660] Temporarily remove gdal (conda package not updated
 for py3.6 yet)

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index c0fc4f1d..93a4d4d9 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -289,7 +289,7 @@ RUN pip install --upgrade mpld3 && \
     pip install descartes && \
     pip install geojson && \
     pip install pysal && \
-    conda install -y gdal && \
+    #conda install -y gdal && \
     pip install pyflux && \
     pip install terminalplot && \
     pip install raccoon && \

From e4b77a9683df98e527b60d76374586a9aabb5045 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Thu, 9 Feb 2017 16:19:06 +1100
Subject: [PATCH 0115/1660] Temporarily revert SimpleITK due to Py3.6 conflict

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 93a4d4d9..ed2a4cfd 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -295,7 +295,7 @@ RUN pip install --upgrade mpld3 && \
     pip install raccoon && \
     pip install pydicom && \
     pip install wavio && \
-    conda install --channel https://conda.anaconda.org/SimpleITK --quiet --yes 'SimpleITK=0.10.0' && \
+    #conda install --channel https://conda.anaconda.org/SimpleITK --quiet --yes 'SimpleITK=0.10.0' && \
     pip install hmmlearn && \
     pip install bayespy && \
     pip install gplearn && \

From af97a4aec9fee5a0e2c0dbc39d1d68966cc8e4e2 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Thu, 16 Feb 2017 06:27:21 +1100
Subject: [PATCH 0116/1660] Add sklearn-pandas

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index ed2a4cfd..299d2132 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -305,6 +305,7 @@ RUN pip install --upgrade mpld3 && \
     pip install fuzzywuzzy && \
     pip install python-louvain && \
     pip install pyexcel-ods && \
+    pip install sklearn-pandas && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 31c3dcf899a6df04445c8c4842b564f8c01e3650 Mon Sep 17 00:00:00 2001
From: Michael Boker <Bbokerr6@gmail.com>
Date: Sat, 18 Feb 2017 20:08:38 -0500
Subject: [PATCH 0117/1660] Add the stemming library to the docker file

Stemming is a useful tool for text preprocessing, and would be nice to have available in the kernels notebook
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 299d2132..ccaaac95 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -306,6 +306,7 @@ RUN pip install --upgrade mpld3 && \
     pip install python-louvain && \
     pip install pyexcel-ods && \
     pip install sklearn-pandas && \
+    pip install stemming && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 4ce677c7893487b080434133876fe55df8e581e6 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Fri, 24 Feb 2017 17:31:00 +1100
Subject: [PATCH 0118/1660] Add holoviews, geoviews

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 299d2132..2f417311 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -306,6 +306,7 @@ RUN pip install --upgrade mpld3 && \
     pip install python-louvain && \
     pip install pyexcel-ods && \
     pip install sklearn-pandas && \
+    conda install -c conda-forge -c ioam holoviews>=1.6.2 geoviews && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From c69eda758653387a49d476faff0b20572d411787 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Fri, 24 Feb 2017 21:34:29 +1100
Subject: [PATCH 0119/1660] Install geoviews from git

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 2f417311..bc23c88b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -306,7 +306,8 @@ RUN pip install --upgrade mpld3 && \
     pip install python-louvain && \
     pip install pyexcel-ods && \
     pip install sklearn-pandas && \
-    conda install -c conda-forge -c ioam holoviews>=1.6.2 geoviews && \
+    conda install -y -c conda-forge -c ioam holoviews && \
+    pip install git+https://github.com/ioam/geoviews.git && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 3146c2c764ae4293252fa9a6cc8ab5337b392bab Mon Sep 17 00:00:00 2001
From: Zachary Thomas <zthomas.nc@gmail.com>
Date: Mon, 27 Feb 2017 10:04:28 -0800
Subject: [PATCH 0120/1660] Update Dockerfile with Facebook Prophet

Add `fbprophet` as package installed in Kaggle Docker image. More info on Prophet, which was open-sourced last week: https://facebookincubator.github.io/prophet/
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index bc23c88b..6bb0f0e5 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -306,6 +306,7 @@ RUN pip install --upgrade mpld3 && \
     pip install python-louvain && \
     pip install pyexcel-ods && \
     pip install sklearn-pandas && \
+    pip install fbprophet && \
     conda install -y -c conda-forge -c ioam holoviews && \
     pip install git+https://github.com/ioam/geoviews.git && \
     ##### ^^^^ Add new contributions above here

From 4d962096e4e8400d4793a9067236207ac0e2adcf Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Fri, 10 Mar 2017 07:26:30 +1100
Subject: [PATCH 0121/1660] Add hypertools

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 398c52f2..95499ab8 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -310,6 +310,7 @@ RUN pip install --upgrade mpld3 && \
     pip install fbprophet && \
     conda install -y -c conda-forge -c ioam holoviews && \
     pip install git+https://github.com/ioam/geoviews.git && \
+    pip install hypertools && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 5f8702f5984a862e80737c69869b73740b8aee0a Mon Sep 17 00:00:00 2001
From: Mathew Savage <mathew@mathewsavage.com>
Date: Mon, 17 Apr 2017 21:54:23 +0100
Subject: [PATCH 0122/1660] Add nxvis, package for visualising networkx graphs

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 95499ab8..f078775d 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -311,6 +311,7 @@ RUN pip install --upgrade mpld3 && \
     conda install -y -c conda-forge -c ioam holoviews && \
     pip install git+https://github.com/ioam/geoviews.git && \
     pip install hypertools && \
+    pip install nxviz && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 2d25f08d64a4609b9b5dc76abb6d6225d3cd40c2 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Thu, 20 Apr 2017 07:06:54 +1000
Subject: [PATCH 0123/1660] Add SimpleITK (py36 conflict now resolved)

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 95499ab8..f284520b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -295,7 +295,7 @@ RUN pip install --upgrade mpld3 && \
     pip install raccoon && \
     pip install pydicom && \
     pip install wavio && \
-    #conda install --channel https://conda.anaconda.org/SimpleITK --quiet --yes 'SimpleITK=0.10.0' && \
+    pip install SimpleITK && \
     pip install hmmlearn && \
     pip install bayespy && \
     pip install gplearn && \

From 96a79815d427676596a8f9253dca85ed34bf0f02 Mon Sep 17 00:00:00 2001
From: Kevin Mader <kmader@users.noreply.github.com>
Date: Wed, 26 Apr 2017 14:06:04 +0200
Subject: [PATCH 0124/1660] Update Dockerfile

adding nibabel for reading nifti images (https://github.com/Kaggle/docker-python/issues/76)
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 1f4cf38c..a87fbf81 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -312,6 +312,7 @@ RUN pip install --upgrade mpld3 && \
     pip install git+https://github.com/ioam/geoviews.git && \
     pip install hypertools && \
     pip install nxviz && \
+    pip install nibabel && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 8c82c6a573f9c8456551148f055df8d51aafab69 Mon Sep 17 00:00:00 2001
From: behzadg <behzad@recruit.ai>
Date: Tue, 2 May 2017 14:09:37 -0700
Subject: [PATCH 0125/1660] Add the py_stringsimjoin package

The package is well-tested and allows for fast joins based on string similarity.
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 1f4cf38c..75a0b45d 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -312,6 +312,7 @@ RUN pip install --upgrade mpld3 && \
     pip install git+https://github.com/ioam/geoviews.git && \
     pip install hypertools && \
     pip install nxviz && \
+    pip install py_stringsimjoin && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From cbaa804b9e922b1df0902909393315e8411c3354 Mon Sep 17 00:00:00 2001
From: Robin Kraft <robinkraft@users.noreply.github.com>
Date: Thu, 4 May 2017 16:48:42 -0700
Subject: [PATCH 0126/1660] add spectral library for multi/hyper spectral
 images

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 1f4cf38c..82420bd6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -286,6 +286,7 @@ RUN pip install --upgrade mpld3 && \
     pip install git+https://github.com/hammerlab/fancyimpute.git && \
     pip install git+https://github.com/pymc-devs/pymc3 && \
     pip install tifffile && \
+    pip install spectral && \
     pip install descartes && \
     pip install geojson && \
     pip install pysal && \

From d6d5722b360bba099ab7446d4d63d4f82edb3e3c Mon Sep 17 00:00:00 2001
From: Manav Sehgal <sehgal.manav@gmail.com>
Date: Sun, 7 May 2017 21:36:41 +0530
Subject: [PATCH 0127/1660] Add speedml package

Speedml package (speedml.com) provides quick start wrappers for popular packages in an easy, linear, intuitive machine learning workflow including components for EDA, feature engineering, model evaluation, hyper-parameters tuning, and feature selection.
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 1f4cf38c..d9ef03ed 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -312,6 +312,7 @@ RUN pip install --upgrade mpld3 && \
     pip install git+https://github.com/ioam/geoviews.git && \
     pip install hypertools && \
     pip install nxviz && \
+    pip install speedml && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From d9220c7bbd4a97cfea0d53b2b44c76f775cb79de Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 8 May 2017 12:43:42 +1000
Subject: [PATCH 0128/1660] Revert Pandas version to anaconda's

---
 Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 10bafd04..eb4589cf 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -6,8 +6,8 @@ ADD cache_keras_weights.py /usr/local/src/cache_keras_weights.py
     # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
 RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \
     apt-get update && apt-get install -y build-essential && \
-    # Newer version of Pandas than comes with continuumio/anaconda3
-    conda uninstall -y pandas && pip install pandas && \
+    ## Newer version of Pandas than comes with continuumio/anaconda3
+    #conda uninstall -y pandas && pip install pandas && \
     cd /usr/local/src && \
     pip install tensorflow && \
     # Vowpal Rabbit

From b6157859c918392d4241f70443b55bc97988867c Mon Sep 17 00:00:00 2001
From: Sebastian Flennerhag <sebastianflennerhag@hotmail.com>
Date: Mon, 29 May 2017 19:40:18 +0200
Subject: [PATCH 0129/1660] install mlens

ML-Ensemble is a library for ensemble learning with a Scikit-learn API. http://mlens.readthedocs.io/en/latest/
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index eb4589cf..bf7e3ca7 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -316,6 +316,7 @@ RUN pip install --upgrade mpld3 && \
     pip install py_stringsimjoin && \
     pip install speedml && \
     pip install nibabel && \
+    pip install mlens && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From fd27937274f1f33ed19d6580c26371beb74c3581 Mon Sep 17 00:00:00 2001
From: Sebastian Flennerhag <sebastianflennerhag@hotmail.com>
Date: Mon, 29 May 2017 19:43:31 +0200
Subject: [PATCH 0130/1660] added empty line after installs

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index bf7e3ca7..11ca9f1f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -317,6 +317,7 @@ RUN pip install --upgrade mpld3 && \
     pip install speedml && \
     pip install nibabel && \
     pip install mlens && \
+  
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 2afe260ebc8fd9da549d5b1d2efce0950a020a4c Mon Sep 17 00:00:00 2001
From: "Jiaping(Vincent) Zhang" <vincentzhangv@gmail.com>
Date: Thu, 8 Jun 2017 21:19:08 -0700
Subject: [PATCH 0131/1660] Add scikit-multilearn for multilabel ML

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 11ca9f1f..1edb6290 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -317,6 +317,7 @@ RUN pip install --upgrade mpld3 && \
     pip install speedml && \
     pip install nibabel && \
     pip install mlens && \
+    pip install scikit-multilearn && \
   
     ##### ^^^^ Add new contributions above here
     # clean up pip cache

From 3da21b7dc2acdd1297f6677b375badc56272568d Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 19 Jun 2017 08:55:22 +1000
Subject: [PATCH 0132/1660] Update RGF installation step

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 1edb6290..bab2b767 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -206,7 +206,7 @@ RUN apt-get update && \
     cd /usr/local/src && wget https://github.com/fukatani/rgf_python/releases/download/0.2.0/rgf1.2.zip && \
     unzip rgf1.2.zip && cd rgf1.2 && make && mv bin/rgf /usr/local/bin && \
     cd /usr/local/src && git clone https://github.com/fukatani/rgf_python.git && \
-    cd rgf_python && sed -i 's/\/opt\/rgf1.2\/bin\/rgf/\/usr\/local\/bin\/rgf/' rgf/rgf.py && \
+    cd rgf_python && sed -i 's/\/opt\/rgf1.2\/bin\/rgf/\/usr\/local\/bin\/rgf/' rgf/sklearn.py && \
     python setup.py install && \
     # PUDB, for local debugging convenience
     pip install pudb && \

From 84ee008b06726baa29a99efeeae4444d9cd2f61b Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 19 Jun 2017 21:32:29 +1000
Subject: [PATCH 0133/1660] Smoke-test jupyter notebook

---
 build | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/build b/build
index 31a702f7..c9e7ad59 100755
--- a/build
+++ b/build
@@ -13,9 +13,14 @@ fi
 
 
 rm -rf /tmp/python-build
+docker rm jupyter_test || true
 mkdir -p /tmp/python-build/tmp
 mkdir -p /tmp/python-build/devshm
 mkdir -p /tmp/python-build/working
+# Check that Jupyter server can run; if it dies on startup, the `docker kill` command will throw an error
+docker run -d --name=jupyter_test --read-only --net=none -e HOME=/tmp -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build jupyter notebook --allow-root
+sleep 3
+docker kill jupyter_test && docker rm jupyter_test
 docker run --rm -t --read-only --net=none -e HOME=/tmp -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build /bin/bash -c 'python /input/test_build.py'
 
 # The test_build.py script creates a plot called plot1.png; check that it exists

From 3a7f931085952934edde15d9232a34671472cbfc Mon Sep 17 00:00:00 2001
From: Guolin Ke <i@yumumu.me>
Date: Tue, 20 Jun 2017 13:39:04 +0800
Subject: [PATCH 0134/1660] update lightgbm

---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index bab2b767..063e20c6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -226,7 +226,6 @@ RUN apt-get update && \
     cd /usr/local/src && git clone https://github.com/danielhomola/boruta_py.git && \
     cd boruta_py && python setup.py install && \
     cd /usr/local/src && git clone --recursive --depth 1 https://github.com/Microsoft/LightGBM && \
-    cd LightGBM && mkdir build && cd build && cmake .. && make -j $(nproc) && \
     cd /usr/local/src/LightGBM/python-package && python setup.py install && \
     cd /usr/local/src && git clone git://github.com/nicolashennetier/pyeconometrics.git && \
     cd pyeconometrics && python setup.py install && \

From f2c9bd1800e6fbf83e1989dfe6391f8b3f97adfa Mon Sep 17 00:00:00 2001
From: Ben Hamner <ben@benhamner.com>
Date: Fri, 23 Jun 2017 14:56:54 -0700
Subject: [PATCH 0135/1660] added cleverhans library

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index bab2b767..68140087 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -318,6 +318,7 @@ RUN pip install --upgrade mpld3 && \
     pip install nibabel && \
     pip install mlens && \
     pip install scikit-multilearn && \
+    pip install -e git+http://github.com/tensorflow/cleverhans.git#egg=cleverhans && \
   
     ##### ^^^^ Add new contributions above here
     # clean up pip cache

From 5a54eee98d0c9d935236739847b810b491f57012 Mon Sep 17 00:00:00 2001
From: Sebastien Boving <seb@google.com>
Date: Wed, 28 Jun 2017 17:37:31 -0700
Subject: [PATCH 0136/1660] Patch tornado for .NET websocket compatibility.

This adds a generic patching mechanism to `kaggle/python` and a single patch
to apply the equivalent of https://github.com/tornadoweb/tornado/pull/2098 so
we don't have to wait for the upstream change to trickle down.

Resulting image has been verified to prevent kaggle websockets to be broken off
every 100s.
---
 Dockerfile                           |  7 ++++++-
 patches/tornado-fix-issue-2097.patch | 27 +++++++++++++++++++++++++++
 2 files changed, 33 insertions(+), 1 deletion(-)
 create mode 100644 patches/tornado-fix-issue-2097.patch

diff --git a/Dockerfile b/Dockerfile
index 68140087..38e64403 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,6 +1,7 @@
 FROM continuumio/anaconda3:latest
 
 ADD cache_keras_weights.py /usr/local/src/cache_keras_weights.py
+ADD patches/ /tmp/patches/
 
     # Use a fixed apt-get repo to stop intermittent failures due to flaky httpredir connections,
     # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
@@ -319,9 +320,13 @@ RUN pip install --upgrade mpld3 && \
     pip install mlens && \
     pip install scikit-multilearn && \
     pip install -e git+http://github.com/tensorflow/cleverhans.git#egg=cleverhans && \
-  
+
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \
     # Required to display Altair charts in Jupyter notebook
     jupyter nbextension install --user --py vega
+
+# Finally, apply any locally defined patches.
+RUN /bin/bash -c \
+    "cd / && for p in $(ls /tmp/patches/*.patch); do echo '= Applying patch '\${p}; patch -p2 < \${p}; done"
diff --git a/patches/tornado-fix-issue-2097.patch b/patches/tornado-fix-issue-2097.patch
new file mode 100644
index 00000000..f3c7a82f
--- /dev/null
+++ b/patches/tornado-fix-issue-2097.patch
@@ -0,0 +1,27 @@
+diff -Naur /base/opt/conda/pkgs/tornado-4.5.1-py36_0/lib/python3.6/site-packages/tornado/http1connection.py /patched/opt.new/conda/lib/python3.6/site-packages/tornado/http1connection.py
+--- /base/opt/conda/lib/python3.6/site-packages/tornado/http1connection.py 2017-04-16 23:47:57.000000000 +0000
++++ /patched/opt.new/conda/lib/python3.6/site-packages/tornado/http1connection.py     2017-06-28 21:18:59.902402220 +0000
+@@ -349,6 +349,11 @@
+                 # self._request_start_line.version or
+                 # start_line.version?
+                 self._request_start_line.version == 'HTTP/1.1' and
++                # 1xx, 204 and 304 responses have no body (not even a zero-length
++                # body), and so should not have either Content-Length or
++                # Transfer-Encoding headers.
++                start_line.code not in (204, 304) and
++                (start_line.code < 100 or start_line.code >= 200) and
+                 # 304 responses have no body (not even a zero-length body), and so
+                 # should not have either Content-Length or Transfer-Encoding.
+                 # headers.
+diff -Naur /base/opt/conda/lib/python3.6/site-packages/tornado/web.py /patched/opt.new/conda/lib/python3.6/site-packages/tornado/web.py
+--- /base/opt/conda/lib/python3.6/site-packages/tornado/web.py     2017-06-28 21:22:56.505186743 +0000
++++ /patched/opt.new/conda/lib/python3.6/site-packages/tornado/web.py 2017-06-28 21:22:48.421228255 +0000
+@@ -977,7 +977,8 @@
+             if self._status_code in (204, 304):
+                 assert not self._write_buffer, "Cannot send body with %s" % self._status_code
+                 self._clear_headers_for_304()
+-            elif "Content-Length" not in self._headers:
++            elif ("Content-Length" not in self._headers and
++                  (self._status_code < 100 or self._status_code >= 200)):
+                 content_length = sum(len(part) for part in self._write_buffer)
+                 self.set_header("Content-Length", content_length)

From 2aa8769630ffe355dec7dc799ebd91db300db271 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Fri, 7 Jul 2017 06:19:27 +1000
Subject: [PATCH 0137/1660] Add leven

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 38e64403..68f204d7 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -320,7 +320,7 @@ RUN pip install --upgrade mpld3 && \
     pip install mlens && \
     pip install scikit-multilearn && \
     pip install -e git+http://github.com/tensorflow/cleverhans.git#egg=cleverhans && \
-
+    pip install leven && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 02b9980c9e4d0250a9477e82c65edca3acb5de05 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Thu, 13 Jul 2017 11:21:20 +1000
Subject: [PATCH 0138/1660] Use ImageMagick mirror

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 68f204d7..22c932f3 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -29,7 +29,7 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
   libpaper-utils libpaper1 libpixman-1-0 libpng12-0 librsvg2-2 librsvg2-common libthai-data libthai0 libtiff5 libwmf0.2-7 \
   libxcb-render0 libxcb-shm0 netpbm poppler-data p7zip-full && \
     cd /usr/local/src && \
-    wget http://www.imagemagick.org/download/ImageMagick.tar.gz && \
+    wget http://transloadit.imagemagick.org/download/ImageMagick.tar.gz && \
     tar xzf ImageMagick.tar.gz && cd `ls -d ImageMagick-*` && pwd && ls -al && ./configure && \
     make -j $(nproc) && make install && \
     # clean up ImageMagick source files

From f8bac42b84bcbd63109b2bdc728f9723fac0b83e Mon Sep 17 00:00:00 2001
From: pershinmr <pershin.m.r@gmail.com>
Date: Tue, 18 Jul 2017 15:26:27 +0300
Subject: [PATCH 0139/1660] added catboost package

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 22c932f3..d916c39a 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -321,6 +321,7 @@ RUN pip install --upgrade mpld3 && \
     pip install scikit-multilearn && \
     pip install -e git+http://github.com/tensorflow/cleverhans.git#egg=cleverhans && \
     pip install leven && \
+    pip install catboost && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From bddf36243766c0f05bc1c4d05fdd89ae639be1c4 Mon Sep 17 00:00:00 2001
From: Axel <axelderomblay@gmail.com>
Date: Fri, 21 Jul 2017 16:02:24 +0200
Subject: [PATCH 0140/1660] Add "MLBox" python package

Hello !
I would like to add a package I have developed for auto-ML. I have already tested it on several Kaggle competitions and it works well :)

--> github: https://github.com/AxeldeRomblay/MLBox
--> my Kaggle profile: https://www.kaggle.com/axelderomblay
--> PyPI : https://pypi.python.org/pypi/mlbox

Then I would like to write a kernel tuto on this competition: https://www.kaggle.com/c/nyc-taxi-trip-duration/discussion
Thank you !
---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index d916c39a..cf67b15b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -322,6 +322,8 @@ RUN pip install --upgrade mpld3 && \
     pip install -e git+http://github.com/tensorflow/cleverhans.git#egg=cleverhans && \
     pip install leven && \
     pip install catboost && \
+    pip install mlbox && \
+
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 8c827a560f2360a0b4c334f48695997bfd7cb18f Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 24 Jul 2017 08:23:02 +1000
Subject: [PATCH 0141/1660] Get lightgbm from pip

---
 Dockerfile | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 8a969296..9b3aa985 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -226,8 +226,7 @@ RUN apt-get update && \
     # Boruta (python implementation)
     cd /usr/local/src && git clone https://github.com/danielhomola/boruta_py.git && \
     cd boruta_py && python setup.py install && \
-    cd /usr/local/src && git clone --recursive --depth 1 https://github.com/Microsoft/LightGBM && \
-    cd /usr/local/src/LightGBM/python-package && python setup.py install && \
+    pip install lightgbm && \
     cd /usr/local/src && git clone git://github.com/nicolashennetier/pyeconometrics.git && \
     cd pyeconometrics && python setup.py install && \
     apt-get install -y graphviz && pip install graphviz && \

From 6311b18bb288f47d0352a4f4b086aa45caa1c6ae Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 24 Jul 2017 10:57:28 +1000
Subject: [PATCH 0142/1660] Revert LightGBM to source install

---
 Dockerfile | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 9b3aa985..cf67b15b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -226,7 +226,9 @@ RUN apt-get update && \
     # Boruta (python implementation)
     cd /usr/local/src && git clone https://github.com/danielhomola/boruta_py.git && \
     cd boruta_py && python setup.py install && \
-    pip install lightgbm && \
+    cd /usr/local/src && git clone --recursive --depth 1 https://github.com/Microsoft/LightGBM && \
+    cd LightGBM && mkdir build && cd build && cmake .. && make -j $(nproc) && \
+    cd /usr/local/src/LightGBM/python-package && python setup.py install && \
     cd /usr/local/src && git clone git://github.com/nicolashennetier/pyeconometrics.git && \
     cd pyeconometrics && python setup.py install && \
     apt-get install -y graphviz && pip install graphviz && \

From df23b3b7ec82544a36017819fe4a0b1d29c509bc Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 24 Jul 2017 11:42:20 +1000
Subject: [PATCH 0143/1660] Upgrade cmake, reinstate fast LightGBM install

---
 Dockerfile | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index cf67b15b..f7aaa3c6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -226,8 +226,10 @@ RUN apt-get update && \
     # Boruta (python implementation)
     cd /usr/local/src && git clone https://github.com/danielhomola/boruta_py.git && \
     cd boruta_py && python setup.py install && \
+    # LightGBM requires a newer cmake than apt-get currently provides
+    cd /usr/local/src && wget https://cmake.org/files/v3.8/cmake-3.8.2.tar.gz && tar xzf cmake-3.8.2.tar.gz && \ 
+    cd cmake-3.8.2 && ./bootstrap && make -j2 && make install && \
     cd /usr/local/src && git clone --recursive --depth 1 https://github.com/Microsoft/LightGBM && \
-    cd LightGBM && mkdir build && cd build && cmake .. && make -j $(nproc) && \
     cd /usr/local/src/LightGBM/python-package && python setup.py install && \
     cd /usr/local/src && git clone git://github.com/nicolashennetier/pyeconometrics.git && \
     cd pyeconometrics && python setup.py install && \

From fb4c8ba14a87bbdba3aeedb54c17a015c1ac26ff Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 25 Jul 2017 06:12:50 +1000
Subject: [PATCH 0144/1660] Move LightGBM to pip

---
 Dockerfile | 6 +-----
 1 file changed, 1 insertion(+), 5 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index f7aaa3c6..9b3aa985 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -226,11 +226,7 @@ RUN apt-get update && \
     # Boruta (python implementation)
     cd /usr/local/src && git clone https://github.com/danielhomola/boruta_py.git && \
     cd boruta_py && python setup.py install && \
-    # LightGBM requires a newer cmake than apt-get currently provides
-    cd /usr/local/src && wget https://cmake.org/files/v3.8/cmake-3.8.2.tar.gz && tar xzf cmake-3.8.2.tar.gz && \ 
-    cd cmake-3.8.2 && ./bootstrap && make -j2 && make install && \
-    cd /usr/local/src && git clone --recursive --depth 1 https://github.com/Microsoft/LightGBM && \
-    cd /usr/local/src/LightGBM/python-package && python setup.py install && \
+    pip install lightgbm && \
     cd /usr/local/src && git clone git://github.com/nicolashennetier/pyeconometrics.git && \
     cd pyeconometrics && python setup.py install && \
     apt-get install -y graphviz && pip install graphviz && \

From dd424cb0af3fe9fd34fd055a30a3968554b8185e Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 25 Jul 2017 09:28:29 +1000
Subject: [PATCH 0145/1660] Remove keras weights cache from Dockerfile

---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 9b3aa985..caa2d4b5 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,6 +1,5 @@
 FROM continuumio/anaconda3:latest
 
-ADD cache_keras_weights.py /usr/local/src/cache_keras_weights.py
 ADD patches/ /tmp/patches/
 
     # Use a fixed apt-get repo to stop intermittent failures due to flaky httpredir connections,

From 2eea1c1e50fa367876d92a1f764aea34097fb1c7 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 25 Jul 2017 09:29:59 +1000
Subject: [PATCH 0146/1660] Rm keras weights cache (plz use datasets instead)

---
 cache_keras_weights.py | 11 -----------
 1 file changed, 11 deletions(-)
 delete mode 100644 cache_keras_weights.py

diff --git a/cache_keras_weights.py b/cache_keras_weights.py
deleted file mode 100644
index a7318768..00000000
--- a/cache_keras_weights.py
+++ /dev/null
@@ -1,11 +0,0 @@
-from keras.applications.resnet50 import ResNet50
-from keras.applications.vgg16 import VGG16
-from keras.applications.vgg19 import VGG19
-from keras.applications.inception_v3 import InceptionV3
-from keras.applications.xception import Xception
-
-resnet = ResNet50(weights='imagenet')
-vgg16 = VGG16(weights='imagenet')
-vgg19 = VGG19(weights='imagenet')
-inception = InceptionV3(weights='imagenet')
-xception = Xception(weights='imagenet')

From 75920d83bc55e884e23ec40e29cfb6425603f9c0 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 25 Jul 2017 09:30:57 +1000
Subject: [PATCH 0147/1660] Move LightGBM earlier in the install queue

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index caa2d4b5..4d249021 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -60,6 +60,7 @@ RUN apt-get install -y libfreetype6-dev && \
     cd /usr/local/src && mkdir xgboost && cd xgboost && \
     git clone --depth 1 --recursive https://github.com/dmlc/xgboost.git && cd xgboost && \
     make && cd python-package && python setup.py install && \
+    pip install lightgbm && \
     #lasagne
     cd /usr/local/src && mkdir Lasagne && cd Lasagne && \
     git clone --depth 1 https://github.com/Lasagne/Lasagne.git && cd Lasagne && \
@@ -225,7 +226,6 @@ RUN apt-get update && \
     # Boruta (python implementation)
     cd /usr/local/src && git clone https://github.com/danielhomola/boruta_py.git && \
     cd boruta_py && python setup.py install && \
-    pip install lightgbm && \
     cd /usr/local/src && git clone git://github.com/nicolashennetier/pyeconometrics.git && \
     cd pyeconometrics && python setup.py install && \
     apt-get install -y graphviz && pip install graphviz && \

From 7aee8a923c65b5d11c32f722efd2115cc32f9b67 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 25 Jul 2017 10:12:18 +1000
Subject: [PATCH 0148/1660] Did you spot my deliberate mistake?

---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 4d249021..d4145bfe 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -120,7 +120,6 @@ twitter_samples udhr2 udhr unicode_samples universal_tagset universal_treebanks_
 vader_lexicon verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe && \
     # Stop-words
     pip install stop-words && \
-    cd /usr/local/src && python cache_keras_weights.py && \
     # clean up
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \

From cff3c239c832bdf328a184e20a5fb6f38e42fac9 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 25 Jul 2017 12:04:57 +1000
Subject: [PATCH 0149/1660] Temporarily revert mlbox

---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index d4145bfe..b869069c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -318,7 +318,6 @@ RUN pip install --upgrade mpld3 && \
     pip install -e git+http://github.com/tensorflow/cleverhans.git#egg=cleverhans && \
     pip install leven && \
     pip install catboost && \
-    pip install mlbox && \
 
     ##### ^^^^ Add new contributions above here
     # clean up pip cache

From 89ff2a6208b6735c1e716884772c8293623a1930 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 25 Jul 2017 22:12:37 +1000
Subject: [PATCH 0150/1660] Reinstate mlbox

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index b869069c..d4145bfe 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -318,6 +318,7 @@ RUN pip install --upgrade mpld3 && \
     pip install -e git+http://github.com/tensorflow/cleverhans.git#egg=cleverhans && \
     pip install leven && \
     pip install catboost && \
+    pip install mlbox && \
 
     ##### ^^^^ Add new contributions above here
     # clean up pip cache

From ccf85f9dfd669596143daecb31aac41a54d90cb8 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Fri, 28 Jul 2017 06:52:25 +1000
Subject: [PATCH 0151/1660] Patch Geohash import error

---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index d4145bfe..8cdc1597 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -250,6 +250,8 @@ RUN pip install --upgrade mpld3 && \
     pip install arrow && \
     pip install sexmachine  && \
     pip install Geohash && \
+    # https://github.com/vinsci/geohash/issues/4
+    sed -i -- 's/geohash/.geohash/g' /opt/conda/lib/python3.6/site-packages/Geohash/__init__.py && \
     pip install deap && \
     pip install tpot && \
     pip install haversine && \

From d066d0b773489288ef3be661ecfb3d33c622509f Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 31 Jul 2017 11:40:27 +1000
Subject: [PATCH 0152/1660] Reinstate spaCy

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 8cdc1597..8daf13f6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -17,7 +17,7 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     pip install vowpalwabbit && \
     pip install seaborn python-dateutil dask pytagcloud pyyaml ggplot joblib \
     husl geopy ml_metrics mne pyshp gensim && \
-    #python -m spacy.en.download && \
+    pip install -U spacy && python -m spacy download en && \
     # The apt-get version of imagemagick is out of date and has compatibility issues, so we build from source
     apt-get -y install dbus fontconfig fontconfig-config fonts-dejavu-core fonts-droid ghostscript gsfonts hicolor-icon-theme \
   libavahi-client3 libavahi-common-data libavahi-common3 libcairo2 libcap-ng0 libcroco3 \

From 975314bbc8bc868faff76fe945a0d7226579e914 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 31 Jul 2017 12:35:48 +1000
Subject: [PATCH 0153/1660] Install spaCy using Conda

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 8daf13f6..55abeeb8 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -17,7 +17,7 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     pip install vowpalwabbit && \
     pip install seaborn python-dateutil dask pytagcloud pyyaml ggplot joblib \
     husl geopy ml_metrics mne pyshp gensim && \
-    pip install -U spacy && python -m spacy download en && \
+    conda install -y -c conda-forge spacy && python -m spacy download en && \
     # The apt-get version of imagemagick is out of date and has compatibility issues, so we build from source
     apt-get -y install dbus fontconfig fontconfig-config fonts-dejavu-core fonts-droid ghostscript gsfonts hicolor-icon-theme \
   libavahi-client3 libavahi-common-data libavahi-common3 libcairo2 libcap-ng0 libcroco3 \

From f2880e5423f9a203e5684f2f125dd0fc499056cc Mon Sep 17 00:00:00 2001
From: Atlas7 <johnnychan0302@gmail.com>
Date: Fri, 4 Aug 2017 22:23:53 +0100
Subject: [PATCH 0154/1660] add paramnb

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 55abeeb8..efff18c6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -321,7 +321,8 @@ RUN pip install --upgrade mpld3 && \
     pip install leven && \
     pip install catboost && \
     pip install mlbox && \
-
+    pip install paramnb && \
+    
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 5181c37c5494aa657e5ebe647b66925a469bd233 Mon Sep 17 00:00:00 2001
From: Anirudh Kamalapuram Muralidhar <anirudh796@gmail.com>
Date: Sun, 6 Aug 2017 17:19:01 -0500
Subject: [PATCH 0155/1660] folium package

for map visualization!
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 55abeeb8..8969e107 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -321,6 +321,7 @@ RUN pip install --upgrade mpld3 && \
     pip install leven && \
     pip install catboost && \
     pip install mlbox && \
+    pip install folium && \
 
     ##### ^^^^ Add new contributions above here
     # clean up pip cache

From ee97eb75ab6137d3e5add2578aeabed838314b43 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Wed, 9 Aug 2017 12:55:42 +1000
Subject: [PATCH 0156/1660] Upgrade numpy to patch MKL link error

---
 Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index d0e6a8ac..684ff36f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -6,8 +6,8 @@ ADD patches/ /tmp/patches/
     # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
 RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \
     apt-get update && apt-get install -y build-essential && \
-    ## Newer version of Pandas than comes with continuumio/anaconda3
-    #conda uninstall -y pandas && pip install pandas && \
+    # https://github.com/ContinuumIO/anaconda-issues/issues/720
+    conda install -f -y numpy && \
     cd /usr/local/src && \
     pip install tensorflow && \
     # Vowpal Rabbit

From d57cae736d26b3687bfd9fe764ed353a955714b9 Mon Sep 17 00:00:00 2001
From: Anirudh Kamalapuram Muralidhar <anirudh796@gmail.com>
Date: Tue, 8 Aug 2017 22:06:19 -0500
Subject: [PATCH 0157/1660] dipy package

DIPY is a python package used for brain image analysis such as MRI data (2D and 3D). Would be really useful for many competitions.
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 684ff36f..8b72f5ad 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -323,6 +323,7 @@ RUN pip install --upgrade mpld3 && \
     pip install mlbox && \
     pip install paramnb && \
     pip install folium && \
+    pip install dipy && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 026def616ddd79d122bcab3285ecc7c51bbde7d1 Mon Sep 17 00:00:00 2001
From: Reiichiro Nakano <reiichiro.s.nakano@gmail.com>
Date: Thu, 17 Aug 2017 01:54:01 +0800
Subject: [PATCH 0158/1660] Add scikit-plot

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 684ff36f..df91592e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -323,6 +323,7 @@ RUN pip install --upgrade mpld3 && \
     pip install mlbox && \
     pip install paramnb && \
     pip install folium && \
+    pip install scikit-plot && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From ee83a579ea243d7e6badec8153d40c171d730755 Mon Sep 17 00:00:00 2001
From: dvaida <dorel@Dorels-MacBook-Pro.local>
Date: Fri, 25 Aug 2017 10:39:20 +0300
Subject: [PATCH 0159/1660] Add hallucinate - a lightweight library for quick
 ML experimentation

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 91704604..377b04c2 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -325,6 +325,7 @@ RUN pip install --upgrade mpld3 && \
     pip install folium && \
     pip install scikit-plot && \
     pip install dipy && \
+    pip install git+https://github.com/dvaida/hallucinate.git && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 62a83b17a47b68bc40a298f0d741f956762fc257 Mon Sep 17 00:00:00 2001
From: sinia <4824267+sinia@users.noreply.github.com>
Date: Wed, 30 Aug 2017 21:55:56 +0100
Subject: [PATCH 0160/1660] add plotnine package plotnine is an implementation
 of a grammar of graphics in Python, it is based on ggplot2

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 91704604..422d988d 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -325,6 +325,7 @@ RUN pip install --upgrade mpld3 && \
     pip install folium && \
     pip install scikit-plot && \
     pip install dipy && \
+    pip install plotnine && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 3c38997760ba5f401537311392dc38c133ae93ef Mon Sep 17 00:00:00 2001
From: Aurelio Agundez <aurelio@agundez.com>
Date: Thu, 31 Aug 2017 11:41:54 -0700
Subject: [PATCH 0161/1660] Add nbonvert template extension to support cell
 hidding

---
 Dockerfile               |  1 +
 nbconvert-extensions.tpl | 12 ++++++++++++
 2 files changed, 13 insertions(+)
 create mode 100644 nbconvert-extensions.tpl

diff --git a/Dockerfile b/Dockerfile
index 91704604..91d01e33 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,6 +1,7 @@
 FROM continuumio/anaconda3:latest
 
 ADD patches/ /tmp/patches/
+ADD nbconvert-extensions.tpl /tmp/nbconvert-extensions.tpl
 
     # Use a fixed apt-get repo to stop intermittent failures due to flaky httpredir connections,
     # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
diff --git a/nbconvert-extensions.tpl b/nbconvert-extensions.tpl
new file mode 100644
index 00000000..b3de090d
--- /dev/null
+++ b/nbconvert-extensions.tpl
@@ -0,0 +1,12 @@
+{# 
+Jinja template to inject notebook cell metadata to enhance generated HTML output
+All cell metadata starting with '_kg_' will be included with its value ({key}-{value}) 
+as a class in the cell's DIV container
+#}
+    
+{% extends 'full.tpl'%}
+{% block any_cell %}
+    <div class="{% for k in cell['metadata'] if k.startswith("_kg_") %}{{k}}-{{cell['metadata'][k] | lower}} {% endfor %}">
+        {{ super() }}
+    </div>
+{% endblock any_cell %}
\ No newline at end of file

From c29e9dee7a4042726560cd6a8a38892aae23b15a Mon Sep 17 00:00:00 2001
From: Aurelio Agundez <aurelio@agundez.com>
Date: Thu, 31 Aug 2017 11:58:54 -0700
Subject: [PATCH 0162/1660] Update template location per PR

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 91d01e33..7f14d838 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,7 +1,7 @@
 FROM continuumio/anaconda3:latest
 
 ADD patches/ /tmp/patches/
-ADD nbconvert-extensions.tpl /tmp/nbconvert-extensions.tpl
+ADD nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
 
     # Use a fixed apt-get repo to stop intermittent failures due to flaky httpredir connections,
     # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346

From fbce5af13180c7f61a67c7da326d171308db0fbd Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 4 Sep 2017 06:53:06 +1000
Subject: [PATCH 0163/1660] Install lightfm and fastfm

---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 7f14d838..4f2603bf 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -322,6 +322,8 @@ RUN pip install --upgrade mpld3 && \
     pip install leven && \
     pip install catboost && \
     pip install mlbox && \
+    pip install fastFM && \
+    pip install lightfm && \
     pip install paramnb && \
     pip install folium && \
     pip install scikit-plot && \

From 0cb6792a9733bdb9cffcd822e671f568e674a0cd Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 4 Sep 2017 07:03:01 +1000
Subject: [PATCH 0164/1660] Move numpy reinstallation to end of sequence

---
 Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index d2455633..3e5af9a4 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -7,8 +7,6 @@ ADD nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
     # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
 RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \
     apt-get update && apt-get install -y build-essential && \
-    # https://github.com/ContinuumIO/anaconda-issues/issues/720
-    conda install -f -y numpy && \
     cd /usr/local/src && \
     pip install tensorflow && \
     # Vowpal Rabbit
@@ -333,6 +331,8 @@ RUN pip install --upgrade mpld3 && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \
+    # https://github.com/ContinuumIO/anaconda-issues/issues/720
+    conda install -f -y numpy && \
     # Required to display Altair charts in Jupyter notebook
     jupyter nbextension install --user --py vega
 

From 5a5f8449bbe6d971fb08e34959140e573016d0a7 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 5 Sep 2017 06:17:53 +1000
Subject: [PATCH 0165/1660] Temporarily revert nxviz

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 3e5af9a4..4623d87e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -310,7 +310,8 @@ RUN pip install --upgrade mpld3 && \
     conda install -y -c conda-forge -c ioam holoviews && \
     pip install git+https://github.com/ioam/geoviews.git && \
     pip install hypertools && \
-    pip install nxviz && \
+    # Nxviz has been causing an installation issue by trying unsuccessfully to remove setuptools.
+    #pip install nxviz && \
     pip install py_stringsimjoin && \
     pip install speedml && \
     pip install nibabel && \

From f546dde02b0e837af3496820737299c937fd91a9 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 11 Sep 2017 12:57:28 +1000
Subject: [PATCH 0166/1660] Install surprise

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 4623d87e..2b5a2ea3 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -329,6 +329,7 @@ RUN pip install --upgrade mpld3 && \
     pip install dipy && \
     pip install plotnine && \
     pip install git+https://github.com/dvaida/hallucinate.git && \
+    pip install scikit-surprise && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From f4a51b1abafaad36fae8b3fae80207a00e141875 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 12 Sep 2017 00:13:46 +1000
Subject: [PATCH 0167/1660] Add pymongo

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 2b5a2ea3..bf34f50e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -330,6 +330,7 @@ RUN pip install --upgrade mpld3 && \
     pip install plotnine && \
     pip install git+https://github.com/dvaida/hallucinate.git && \
     pip install scikit-surprise && \
+    pip install pymongo && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 5b7596056463059c93d25b893cc9db53bc86d4dd Mon Sep 17 00:00:00 2001
From: vfdev <2459423+vfdev-5@users.noreply.github.com>
Date: Thu, 14 Sep 2017 12:58:15 +0200
Subject: [PATCH 0168/1660] Add Google PAIR-code Facets

[Google PAIR-code Facets](https://github.com/pair-code/facets)
---
 Dockerfile | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index bf34f50e..0179fcb4 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -331,6 +331,9 @@ RUN pip install --upgrade mpld3 && \
     pip install git+https://github.com/dvaida/hallucinate.git && \
     pip install scikit-surprise && \
     pip install pymongo && \
+    # Add google PAIR-code Facets
+    cd /opt/ && git clone https://github.com/PAIR-code/facets && cd facets/ && jupyter nbextension install facets-dist/ --user && \
+    export PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/ && \    
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From fcdbfe38ef8fb4f7c39d07576ce910911483ca70 Mon Sep 17 00:00:00 2001
From: vfdev-5 <vfdev.5@gmail.com>
Date: Thu, 14 Sep 2017 13:17:18 +0200
Subject: [PATCH 0169/1660] * Update setuptools to the latest and add
 tensorpack framework

---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index bf34f50e..1727024d 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -331,6 +331,8 @@ RUN pip install --upgrade mpld3 && \
     pip install git+https://github.com/dvaida/hallucinate.git && \
     pip install scikit-surprise && \
     pip install pymongo && \
+    # Update setuptools and add tensorpack
+    pip install --upgrade --ignore-installed setuptools && pip install --no-cache-dir git+git://github.com/ppwwyyxx/tensorpack && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 568663a17a0630099ba3f8605b4e2ee2b0958fe6 Mon Sep 17 00:00:00 2001
From: patientpremier <info@patientpremier.com>
Date: Thu, 14 Sep 2017 09:07:12 -0500
Subject: [PATCH 0170/1660] Add ethnicolor package for predicting ethnicity

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index bf34f50e..af4d4a8f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -331,6 +331,7 @@ RUN pip install --upgrade mpld3 && \
     pip install git+https://github.com/dvaida/hallucinate.git && \
     pip install scikit-surprise && \
     pip install pymongo && \
+    pip install ethnicolr && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 1d3cd531cc9b50bb73b307cae027c00afe2563f3 Mon Sep 17 00:00:00 2001
From: Aleksey Bilogur <aleksey@residentmar.io>
Date: Thu, 21 Sep 2017 20:14:39 -0400
Subject: [PATCH 0171/1660] Add geoplot

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 0e4b2094..ba26e7f0 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -331,6 +331,7 @@ RUN pip install --upgrade mpld3 && \
     pip install git+https://github.com/dvaida/hallucinate.git && \
     pip install scikit-surprise && \
     pip install pymongo && \
+    pip install geoplot && \
     # Add google PAIR-code Facets
     cd /opt/ && git clone https://github.com/PAIR-code/facets && cd facets/ && jupyter nbextension install facets-dist/ --user && \
     export PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/ && \    

From 5fbd6e9819e1e263434e5c3878dd093ea4f46384 Mon Sep 17 00:00:00 2001
From: Ioannis Kourouklides <kourouklides@users.noreply.github.com>
Date: Thu, 28 Sep 2017 00:53:53 +0300
Subject: [PATCH 0172/1660] edward library

http://edwardlib.org/
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 0e4b2094..5edc2f10 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -331,6 +331,7 @@ RUN pip install --upgrade mpld3 && \
     pip install git+https://github.com/dvaida/hallucinate.git && \
     pip install scikit-surprise && \
     pip install pymongo && \
+    pip install edward # http://edwardlib.org/
     # Add google PAIR-code Facets
     cd /opt/ && git clone https://github.com/PAIR-code/facets && cd facets/ && jupyter nbextension install facets-dist/ --user && \
     export PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/ && \    

From ea1554ee951f0840002957b5d0b07e417b0e7dc3 Mon Sep 17 00:00:00 2001
From: Fabiana Boldrin <bibacb.fb@gmail.com>
Date: Thu, 28 Sep 2017 14:03:29 -0300
Subject: [PATCH 0173/1660] Update test_build.py

add some visualizations tools
---
 test_build.py | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/test_build.py b/test_build.py
index 6e88137d..4d5b8713 100644
--- a/test_build.py
+++ b/test_build.py
@@ -32,6 +32,11 @@
 from mpl_toolkits.basemap import Basemap
 print("Basemap ok")
 
+import plotly.plotly as py
+import plotly.graph_objs as go
+
+from ggplot import *
+
 import theano
 print("Theano ok")
 
@@ -52,4 +57,4 @@
 
 import cv2
 img = cv2.imread('plot1.png',0)
-print("OpenCV ok")
\ No newline at end of file
+print("OpenCV ok")

From d6831beb49edf2929fb9992992302134efc8f9d5 Mon Sep 17 00:00:00 2001
From: Fabiana Boldrin <bibacb.fb@gmail.com>
Date: Thu, 28 Sep 2017 14:04:12 -0300
Subject: [PATCH 0174/1660] Update test_build.py

---
 test_build.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/test_build.py b/test_build.py
index 4d5b8713..6fad5aa5 100644
--- a/test_build.py
+++ b/test_build.py
@@ -34,8 +34,10 @@
 
 import plotly.plotly as py
 import plotly.graph_objs as go
+print("plotly ok")
 
 from ggplot import *
+print("ggplot ok")
 
 import theano
 print("Theano ok")

From ab9a67ea3c53750b3c93f3ce6d753b69420b13fb Mon Sep 17 00:00:00 2001
From: Jean-Baptiste <jeanbaptiste.bertrand@gmail.com>
Date: Sun, 8 Oct 2017 12:17:36 +0200
Subject: [PATCH 0175/1660] adding pycountry and iso3166

Two packages for handling countries' names, subdivisions, languages, currencies, and their different ISO codes. It would be quite useful, used in association with other packages for text analysis and map visualization. Use case example: extracting geographical named entities from a text, converting them to their ISO codes, and plotting them on a map.

https://pypi.python.org/pypi/pycountry
https://pypi.python.org/pypi/iso3166
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 0e4b2094..340a39c3 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -337,6 +337,7 @@ RUN pip install --upgrade mpld3 && \
     pip install --no-dependencies ethnicolr && \
     # Update setuptools and add tensorpack
     pip install --upgrade --ignore-installed setuptools && pip install --no-cache-dir git+git://github.com/ppwwyyxx/tensorpack && \
+    pip install pycountry && pip install iso3166 && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 84445f8de828d08ad57751e92e7d09f9163a5cc7 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 9 Oct 2017 11:21:32 +1100
Subject: [PATCH 0176/1660] Install Essentia

---
 Dockerfile | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index da1da3c0..5196f820 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -230,6 +230,9 @@ RUN apt-get update && \
     apt-get install -y libgdal1-dev && GDAL_CONFIG=/usr/bin/gdal-config pip install fiona && pip install geopandas && \
     cd /usr/local/src && git clone git://github.com/scikit-learn-contrib/py-earth.git && \
     cd py-earth && python setup.py install && \
+    cd /usr/local/src && git clone https://github.com/MTG/essentia.git && cd essentia && \
+    ./waf configure --mode=release --build-static --with-python --with-cpptests --with-examples --with-vamp && \
+    ./waf && ./waf install && mv /usr/local/lib/python3.6/site-packages/essentia /opt/conda/lib/python3.6 && \
     # ~~~~ CLEAN UP ~~~~
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \

From a8aeddb46cc62ec351c75928299a466e28efada1 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 9 Oct 2017 11:21:59 +1100
Subject: [PATCH 0177/1660] Add Essentia to build test

---
 test_build.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/test_build.py b/test_build.py
index 6fad5aa5..beb34ae2 100644
--- a/test_build.py
+++ b/test_build.py
@@ -60,3 +60,6 @@
 import cv2
 img = cv2.imread('plot1.png',0)
 print("OpenCV ok")
+
+import essentia
+print("Essentia ok")

From 8fa45e6176f9a032750fe46772afd476aa891de6 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 9 Oct 2017 12:53:29 +1100
Subject: [PATCH 0178/1660] Switch wordcloud to pypi

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 5196f820..582cc198 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -52,7 +52,7 @@ RUN apt-get install -y libfreetype6-dev && \
     # textblob
     pip install textblob && \
     #word cloud
-    pip install git+git://github.com/amueller/word_cloud.git && \
+    pip install wordcloud && \
     #igraph
     pip install python-igraph && \
     #xgboost

From fddad81e9aee6774ae13ac3cbbe697440358d0c4 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 9 Oct 2017 13:15:23 +1100
Subject: [PATCH 0179/1660] Did I say pypi? I meant conda

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 582cc198..fa673535 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -52,7 +52,7 @@ RUN apt-get install -y libfreetype6-dev && \
     # textblob
     pip install textblob && \
     #word cloud
-    pip install wordcloud && \
+    conda install -y -c https://conda.anaconda.org/amueller wordcloud && \
     #igraph
     pip install python-igraph && \
     #xgboost

From a96133e1c8e5345312996b4d6b017007fa0739a3 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 9 Oct 2017 13:27:43 +1100
Subject: [PATCH 0180/1660] Move igraph to conda

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index fa673535..b060ec09 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -54,7 +54,7 @@ RUN apt-get install -y libfreetype6-dev && \
     #word cloud
     conda install -y -c https://conda.anaconda.org/amueller wordcloud && \
     #igraph
-    pip install python-igraph && \
+    conda install -y -c conda-forge python-igraph && \
     #xgboost
     cd /usr/local/src && mkdir xgboost && cd xgboost && \
     git clone --depth 1 --recursive https://github.com/dmlc/xgboost.git && cd xgboost && \

From caeb6e355ee0e2e4a67e64d42b66664ec0e336e8 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 9 Oct 2017 13:34:22 +1100
Subject: [PATCH 0181/1660] Remove tsne (use sklearn.manifold.TSNE)

---
 Dockerfile | 6 +-----
 1 file changed, 1 insertion(+), 5 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index b060ec09..433c412f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -87,12 +87,8 @@ RUN apt-get install -y libfreetype6-dev && \
     printf "[global]\nbase_compiledir = /tmp/.theano\n" > /.theanorc && \
     cd /usr/local/src &&  git clone --depth 1 https://github.com/pybrain/pybrain && \
     cd pybrain && python setup.py install && \
-    # Base ATLAS plus tSNE
+    # Base ATLAS
     apt-get install -y libatlas-base-dev && \
-    # NOTE: we provide the tsne package, but sklearn.manifold.TSNE now does the same
-    # job
-    cd /usr/local/src && git clone --depth 1 https://github.com/danielfrg/tsne.git && \
-    cd tsne && python setup.py install && \
     cd /usr/local/src && git clone --depth 1 https://github.com/ztane/python-Levenshtein && \
     cd python-Levenshtein && python setup.py install && \
     cd /usr/local/src && git clone --depth 1 https://github.com/arogozhnikov/hep_ml.git && \

From 36a6e7711d2494a81fb26ab2220cd2a1c147f79e Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 9 Oct 2017 13:51:40 +1100
Subject: [PATCH 0182/1660] Fix conda compiler stompage

---
 Dockerfile | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 433c412f..2df894b2 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -7,7 +7,9 @@ ADD nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
     # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
 RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \
     apt-get update && apt-get install -y build-essential && \
-    cd /usr/local/src && \
+    # https://stackoverflow.com/a/46498173
+    conda update -y conda && conda update -y python && \
+    # Tensorflow
     pip install tensorflow && \
     # Vowpal Rabbit
     apt-get install -y libboost-program-options-dev zlib1g-dev libboost-python-dev && \

From 184f1df9c0d9d6bb855392b7cae7b1b651552ffb Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Mon, 9 Oct 2017 20:38:11 +1100
Subject: [PATCH 0183/1660] Temporarily revert essentia

---
 Dockerfile | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 2df894b2..48c1badb 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -228,9 +228,9 @@ RUN apt-get update && \
     apt-get install -y libgdal1-dev && GDAL_CONFIG=/usr/bin/gdal-config pip install fiona && pip install geopandas && \
     cd /usr/local/src && git clone git://github.com/scikit-learn-contrib/py-earth.git && \
     cd py-earth && python setup.py install && \
-    cd /usr/local/src && git clone https://github.com/MTG/essentia.git && cd essentia && \
-    ./waf configure --mode=release --build-static --with-python --with-cpptests --with-examples --with-vamp && \
-    ./waf && ./waf install && mv /usr/local/lib/python3.6/site-packages/essentia /opt/conda/lib/python3.6 && \
+    #cd /usr/local/src && git clone https://github.com/MTG/essentia.git && cd essentia && \
+    #./waf configure --mode=release --build-static --with-python --with-cpptests --with-examples --with-vamp && \
+    #./waf && ./waf install && mv /usr/local/lib/python3.6/site-packages/essentia /opt/conda/lib/python3.6 && \
     # ~~~~ CLEAN UP ~~~~
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \

From a9a0ff9d435ab26cf7d975e93531675d80e2c38e Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Wed, 11 Oct 2017 12:26:07 +1100
Subject: [PATCH 0184/1660] Avoid pip install of mlbox

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 48c1badb..39714a0b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -321,7 +321,7 @@ RUN pip install --upgrade mpld3 && \
     pip install -e git+http://github.com/tensorflow/cleverhans.git#egg=cleverhans && \
     pip install leven && \
     pip install catboost && \
-    pip install mlbox && \
+    cd /usr/local/src && git clone --depth=1 https://github.com/AxeldeRomblay/MLBox && cd MLBox && python setup.py install && \
     pip install fastFM && \
     pip install lightfm && \
     pip install paramnb && \

From f23c4e26f6e9b6d4328f370f8d2fbcd7840c659b Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Wed, 11 Oct 2017 13:56:30 +1100
Subject: [PATCH 0185/1660] Fix mlbox subdirectory path

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 39714a0b..4f7a7ae6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -321,7 +321,7 @@ RUN pip install --upgrade mpld3 && \
     pip install -e git+http://github.com/tensorflow/cleverhans.git#egg=cleverhans && \
     pip install leven && \
     pip install catboost && \
-    cd /usr/local/src && git clone --depth=1 https://github.com/AxeldeRomblay/MLBox && cd MLBox && python setup.py install && \
+    cd /usr/local/src && git clone --depth=1 https://github.com/AxeldeRomblay/MLBox && cd MLBox/python-package && python setup.py install && \
     pip install fastFM && \
     pip install lightfm && \
     pip install paramnb && \

From e9947b66e096c55eccd53f4e3cd01d7c6c3e1561 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Thu, 12 Oct 2017 07:54:20 +1100
Subject: [PATCH 0186/1660] Update matplotlib backend

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 4f7a7ae6..8ca631f8 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -160,7 +160,7 @@ RUN apt-get update && \
     make && cd python && python setup.py install && \
     # set backend for matplotlib to Agg
     matplotlibrc_path=$(python -c "import site, os, fileinput; packages_dir = site.getsitepackages()[0]; print(os.path.join(packages_dir, 'matplotlib', 'mpl-data', 'matplotlibrc'))") && \
-    sed -i 's/^backend      : Qt5Agg/backend      : Agg/' $matplotlibrc_path  && \
+    sed -i 's/^backend      : qt5agg/backend      : Agg/' $matplotlibrc_path  && \
     # Stop jupyter nbconvert trying to rewrite its folder hierarchy
     mkdir -p /root/.jupyter && touch /root/.jupyter/jupyter_nbconvert_config.py && touch /root/.jupyter/migrated && \
     mkdir -p /.jupyter && touch /.jupyter/jupyter_nbconvert_config.py && touch /.jupyter/migrated && \

From c3339d4b8870147ec753bf515d97df76c227d2f7 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Thu, 12 Oct 2017 10:09:07 +1100
Subject: [PATCH 0187/1660] Revert gcc monkeypatch

---
 Dockerfile | 5 -----
 1 file changed, 5 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 8ca631f8..e243eb58 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -124,11 +124,6 @@ vader_lexicon verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe && \
 
     # Install OpenCV-3 with Python support
 RUN apt-get update && \
-    # Anaconda's build of gcc is way out of date; monkey-patch some linking problems that affect
-    # packages like xgboost and Shapely
-    rm /opt/conda/lib/libstdc++* && rm /opt/conda/lib/libgomp.* && \
-    ln -s /usr/lib/x86_64-linux-gnu/libgomp.so.1 /opt/conda/lib/libgomp.so.1 && \
-    ln -s /usr/lib/x86_64-linux-gnu/libstdc++.so.6 /opt/conda/lib/libstdc++.so.6 && \
     # Libgeos, for mapping libraries
     apt-get -y install libgeos-dev && \
     # pyshp and pyproj are now external dependencies of Basemap

From 98e5d590f700b57bb162d0902e00f5b30cae6a3b Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Mon, 16 Oct 2017 19:44:31 +1100
Subject: [PATCH 0188/1660] Revert to Anaconda 4.4

https://github.com/ContinuumIO/docker-images/pull/69#issuecomment-336213874
---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index e243eb58..05d00e74 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,4 +1,4 @@
-FROM continuumio/anaconda3:latest
+FROM continuumio/anaconda3:4.4.0
 
 ADD patches/ /tmp/patches/
 ADD nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl

From 247be71349f0cf6592bb4a9ef678659cdeba05a7 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Mon, 16 Oct 2017 19:51:05 +1100
Subject: [PATCH 0189/1660] Fix capitalization of matplotlib backend hotfix

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 05d00e74..72a1b09f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -155,7 +155,7 @@ RUN apt-get update && \
     make && cd python && python setup.py install && \
     # set backend for matplotlib to Agg
     matplotlibrc_path=$(python -c "import site, os, fileinput; packages_dir = site.getsitepackages()[0]; print(os.path.join(packages_dir, 'matplotlib', 'mpl-data', 'matplotlibrc'))") && \
-    sed -i 's/^backend      : qt5agg/backend      : Agg/' $matplotlibrc_path  && \
+    sed -i 's/^backend      : qt5agg/backend      : agg/' $matplotlibrc_path  && \
     # Stop jupyter nbconvert trying to rewrite its folder hierarchy
     mkdir -p /root/.jupyter && touch /root/.jupyter/jupyter_nbconvert_config.py && touch /root/.jupyter/migrated && \
     mkdir -p /.jupyter && touch /.jupyter/jupyter_nbconvert_config.py && touch /.jupyter/migrated && \

From da45845e611b3237cbc5be46f3502213866b3065 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Mon, 16 Oct 2017 21:34:22 +1100
Subject: [PATCH 0190/1660] Redo matplotlib backend

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 72a1b09f..7fd31672 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -155,7 +155,7 @@ RUN apt-get update && \
     make && cd python && python setup.py install && \
     # set backend for matplotlib to Agg
     matplotlibrc_path=$(python -c "import site, os, fileinput; packages_dir = site.getsitepackages()[0]; print(os.path.join(packages_dir, 'matplotlib', 'mpl-data', 'matplotlibrc'))") && \
-    sed -i 's/^backend      : qt5agg/backend      : agg/' $matplotlibrc_path  && \
+    sed -i 's/^backend      : Qt5Agg/backend      : agg/' $matplotlibrc_path  && \
     # Stop jupyter nbconvert trying to rewrite its folder hierarchy
     mkdir -p /root/.jupyter && touch /root/.jupyter/jupyter_nbconvert_config.py && touch /root/.jupyter/migrated && \
     mkdir -p /.jupyter && touch /.jupyter/jupyter_nbconvert_config.py && touch /.jupyter/migrated && \

From 2b487bfe85d87dda6e7e89fd8f950d708db9fe52 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Thu, 19 Oct 2017 17:00:59 +1100
Subject: [PATCH 0191/1660] Revert Essentia from build test

---
 test_build.py | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/test_build.py b/test_build.py
index beb34ae2..6fad5aa5 100644
--- a/test_build.py
+++ b/test_build.py
@@ -60,6 +60,3 @@
 import cv2
 img = cv2.imread('plot1.png',0)
 print("OpenCV ok")
-
-import essentia
-print("Essentia ok")

From 3cb836d6046d63b03b7639f7d9c1256fe6658ae0 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Thu, 19 Oct 2017 17:01:30 +1100
Subject: [PATCH 0192/1660] Add LinearRegression to build test

---
 test_build.py | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/test_build.py b/test_build.py
index 6fad5aa5..239c63ec 100644
--- a/test_build.py
+++ b/test_build.py
@@ -19,6 +19,13 @@
 rf1.fit(X,y)
 print("sklearn RandomForestClassifier: ok")
 
+from sklearn.linear_model import LinearRegression
+boston = datasets.load_boston()
+X, y = boston.data, boston.target
+lr1 = LinearRegression()
+lr1.fit(X,y)
+print("sklearn LinearRegression: ok")
+
 from xgboost import XGBClassifier
 xgb1 = XGBClassifier(n_estimators=3)
 xgb1.fit(X[0:70],y[0:70])

From a44c68cd1ca62cf2eb0dea4812a337be9dd352a7 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Thu, 19 Oct 2017 17:02:24 +1100
Subject: [PATCH 0193/1660] Add skimage to build test

https://github.com/Kaggle/docker-python/issues/103
---
 test_build.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/test_build.py b/test_build.py
index 239c63ec..8e97f4ae 100644
--- a/test_build.py
+++ b/test_build.py
@@ -67,3 +67,6 @@
 import cv2
 img = cv2.imread('plot1.png',0)
 print("OpenCV ok")
+
+from skimage.io import imread
+print("skimage ok")

From d32fda296ef8538764728309e5bdd16f61481a38 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Thu, 19 Oct 2017 18:01:11 +1100
Subject: [PATCH 0194/1660] Temporarily pin numpy to 1.13

---
 Dockerfile | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 7fd31672..8342a2e9 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -344,6 +344,10 @@ RUN pip install --upgrade mpld3 && \
     # Required to display Altair charts in Jupyter notebook
     jupyter nbextension install --user --py vega
 
+# Temporary fix for Anaconda linking error
+# See https://github.com/Kaggle/docker-python/issues/103
+RUN conda install -f -y numpy==1.13.0
+
 # Finally, apply any locally defined patches.
 RUN /bin/bash -c \
     "cd / && for p in $(ls /tmp/patches/*.patch); do echo '= Applying patch '\${p}; patch -p2 < \${p}; done"

From b9dfe3ee59e120e61f3b911ce9b116164a02abf5 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Mon, 23 Oct 2017 10:03:25 +1100
Subject: [PATCH 0195/1660] Update PYTHONPATH for Facets

---
 Dockerfile | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 8342a2e9..90069897 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -344,6 +344,9 @@ RUN pip install --upgrade mpld3 && \
     # Required to display Altair charts in Jupyter notebook
     jupyter nbextension install --user --py vega
 
+# For Facets
+ENV PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/
+
 # Temporary fix for Anaconda linking error
 # See https://github.com/Kaggle/docker-python/issues/103
 RUN conda install -f -y numpy==1.13.0

From 524be7cc9a7aaf71598f7db987187b7bb16e6755 Mon Sep 17 00:00:00 2001
From: Delaunay Arnaud <arnaud.delaunay@polytechnique.edu>
Date: Thu, 26 Oct 2017 08:46:56 +0200
Subject: [PATCH 0196/1660] Add eli5

ELI5 is a cool package which helps to have some insights about "black boxes classifiers".
It might be really interesting to use in some Kaggle Kernels !

https://eli5.readthedocs.io/en/latest/overview.html
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 90069897..2318bf54 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -329,6 +329,7 @@ RUN pip install --upgrade mpld3 && \
     pip install pymongo && \
     pip install edward && \
     pip install geoplot && \
+    pip install eli5 && \
     # Add google PAIR-code Facets
     cd /opt/ && git clone https://github.com/PAIR-code/facets && cd facets/ && jupyter nbextension install facets-dist/ --user && \
     export PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/ && \    

From 45940ac717bc61ea43a9dba83149d345493fdf2f Mon Sep 17 00:00:00 2001
From: spohngellert-o <spohngellert.o@husky.neu.edu>
Date: Wed, 1 Nov 2017 13:10:28 -0400
Subject: [PATCH 0197/1660] Added pydash to docker file.

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 90069897..6e1f29c7 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -329,6 +329,7 @@ RUN pip install --upgrade mpld3 && \
     pip install pymongo && \
     pip install edward && \
     pip install geoplot && \
+    pip install pydash && \
     # Add google PAIR-code Facets
     cd /opt/ && git clone https://github.com/PAIR-code/facets && cd facets/ && jupyter nbextension install facets-dist/ --user && \
     export PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/ && \    

From 28e71b9bdd32d2a1c1066fd579acf43f3d42ef69 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Mon, 6 Nov 2017 10:05:42 +1100
Subject: [PATCH 0198/1660] Fix Dask version

---
 Dockerfile | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 314f350a..57f2e239 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -16,7 +16,7 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     cd /usr/lib/x86_64-linux-gnu/ && rm -f libboost_python.a && rm -f libboost_python.so && \
     ln -sf libboost_python-py34.so libboost_python.so && ln -sf libboost_python-py34.a libboost_python.a && \
     pip install vowpalwabbit && \
-    pip install seaborn python-dateutil dask pytagcloud pyyaml ggplot joblib \
+    pip install seaborn python-dateutil pytagcloud pyyaml ggplot joblib \
     husl geopy ml_metrics mne pyshp gensim && \
     conda install -y -c conda-forge spacy && python -m spacy download en && \
     # The apt-get version of imagemagick is out of date and has compatibility issues, so we build from source
@@ -351,7 +351,9 @@ ENV PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/
 
 # Temporary fix for Anaconda linking error
 # See https://github.com/Kaggle/docker-python/issues/103
-RUN conda install -f -y numpy==1.13.0
+RUN conda install -f -y numpy==1.13.0 && \
+    # Temporary patch for Dask getting downgraded, which breaks Keras
+    pip install --upgrade dask
 
 # Finally, apply any locally defined patches.
 RUN /bin/bash -c \

From ddc72f6be124d9daa7583b14aa7ad4393975ae40 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Mon, 6 Nov 2017 10:10:15 +1100
Subject: [PATCH 0199/1660] Restore Dask to first image layer

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 57f2e239..a7ca25b5 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -16,7 +16,7 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     cd /usr/lib/x86_64-linux-gnu/ && rm -f libboost_python.a && rm -f libboost_python.so && \
     ln -sf libboost_python-py34.so libboost_python.so && ln -sf libboost_python-py34.a libboost_python.a && \
     pip install vowpalwabbit && \
-    pip install seaborn python-dateutil pytagcloud pyyaml ggplot joblib \
+    pip install seaborn python-dateutil dask pytagcloud pyyaml ggplot joblib \
     husl geopy ml_metrics mne pyshp gensim && \
     conda install -y -c conda-forge spacy && python -m spacy download en && \
     # The apt-get version of imagemagick is out of date and has compatibility issues, so we build from source

From ab5bc69d279ae8de663edf61d652378ea80e8d30 Mon Sep 17 00:00:00 2001
From: Felix Last <mail@felixlast.de>
Date: Wed, 8 Nov 2017 16:02:45 +0000
Subject: [PATCH 0200/1660] Add kmeans-smote

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index a7ca25b5..bbc41f8e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -330,6 +330,7 @@ RUN pip install --upgrade mpld3 && \
     pip install edward && \
     pip install geoplot && \
     pip install eli5 && \
+    pip install kmeans-smote && \
     # Add google PAIR-code Facets
     cd /opt/ && git clone https://github.com/PAIR-code/facets && cd facets/ && jupyter nbextension install facets-dist/ --user && \
     export PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/ && \    

From 62dd9dfe811f1689c09d5fdf146b25865414af50 Mon Sep 17 00:00:00 2001
From: balaca <bala1987@gmail.com>
Date: Fri, 10 Nov 2017 12:02:30 +0530
Subject: [PATCH 0201/1660] Add implicit

Fast Python Collaborative Filtering for Implicit Datasets

This project provides fast Python implementations of the algorithms described in the paper Collaborative Filtering for Implicit Feedback Datasets and in Applications of the Conjugate Gradient Method for Implicit Feedback Collaborative Filtering.

http://implicit.readthedocs.io/en/latest/index.html
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index a7ca25b5..8ab1bb54 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -330,6 +330,7 @@ RUN pip install --upgrade mpld3 && \
     pip install edward && \
     pip install geoplot && \
     pip install eli5 && \
+    pip install implicit && \
     # Add google PAIR-code Facets
     cd /opt/ && git clone https://github.com/PAIR-code/facets && cd facets/ && jupyter nbextension install facets-dist/ --user && \
     export PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/ && \    

From 73c7d5658adcc4ab7ad59418e1cd6d453cf866c4 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Mon, 13 Nov 2017 16:20:37 +1100
Subject: [PATCH 0202/1660] Update matplotlibrc backend hack

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index af8965ae..e69bc40a 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -155,7 +155,7 @@ RUN apt-get update && \
     make && cd python && python setup.py install && \
     # set backend for matplotlib to Agg
     matplotlibrc_path=$(python -c "import site, os, fileinput; packages_dir = site.getsitepackages()[0]; print(os.path.join(packages_dir, 'matplotlib', 'mpl-data', 'matplotlibrc'))") && \
-    sed -i 's/^backend      : Qt5Agg/backend      : agg/' $matplotlibrc_path  && \
+    sed -i 's/^backend      : TkAgg/backend      : agg/' $matplotlibrc_path  && \
     # Stop jupyter nbconvert trying to rewrite its folder hierarchy
     mkdir -p /root/.jupyter && touch /root/.jupyter/jupyter_nbconvert_config.py && touch /root/.jupyter/migrated && \
     mkdir -p /.jupyter && touch /.jupyter/jupyter_nbconvert_config.py && touch /.jupyter/migrated && \

From 1a56b47b216458b4f83582fe2265cffe375c3080 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Mon, 13 Nov 2017 18:55:00 +1100
Subject: [PATCH 0203/1660] Move matplotlib fixes to later in build

---
 Dockerfile | 23 ++++++++++++-----------
 1 file changed, 12 insertions(+), 11 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index e69bc40a..75a01699 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -153,16 +153,6 @@ RUN apt-get update && \
     cd /usr/local/src/mxnet && cp make/config.mk . && \
     sed -i 's/ADD_LDFLAGS =/ADD_LDFLAGS = -lstdc++/' config.mk && \
     make && cd python && python setup.py install && \
-    # set backend for matplotlib to Agg
-    matplotlibrc_path=$(python -c "import site, os, fileinput; packages_dir = site.getsitepackages()[0]; print(os.path.join(packages_dir, 'matplotlib', 'mpl-data', 'matplotlibrc'))") && \
-    sed -i 's/^backend      : TkAgg/backend      : agg/' $matplotlibrc_path  && \
-    # Stop jupyter nbconvert trying to rewrite its folder hierarchy
-    mkdir -p /root/.jupyter && touch /root/.jupyter/jupyter_nbconvert_config.py && touch /root/.jupyter/migrated && \
-    mkdir -p /.jupyter && touch /.jupyter/jupyter_nbconvert_config.py && touch /.jupyter/migrated && \
-    # Stop Matplotlib printing junk to the console on first load
-    sed -i "s/^.*Matplotlib is building the font cache using fc-list.*$/# Warning removed by Kaggle/g" /opt/conda/lib/python3.6/site-packages/matplotlib/font_manager.py && \
-    # Make matplotlib output in Jupyter notebooks display correctly
-    mkdir -p /etc/ipython/ && echo "c = get_config(); c.IPKernelApp.matplotlib = 'inline'" > /etc/ipython/ipython_config.py && \
     # h2o
     # This requires python-software-properties and Java.
     apt-get install -y python-software-properties zip && \
@@ -355,7 +345,18 @@ ENV PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/
 # See https://github.com/Kaggle/docker-python/issues/103
 RUN conda install -f -y numpy==1.13.0 && \
     # Temporary patch for Dask getting downgraded, which breaks Keras
-    pip install --upgrade dask
+    pip install --upgrade dask && \
+    # Matplotlib corrections:
+    # set backend for matplotlib to Agg
+    matplotlibrc_path=$(python -c "import site, os, fileinput; packages_dir = site.getsitepackages()[0]; print(os.path.join(packages_dir, 'matplotlib', 'mpl-data', 'matplotlibrc'))") && \
+    sed -i 's/^backend      : TkAgg/backend      : agg/' $matplotlibrc_path  && \
+    # Stop jupyter nbconvert trying to rewrite its folder hierarchy
+    mkdir -p /root/.jupyter && touch /root/.jupyter/jupyter_nbconvert_config.py && touch /root/.jupyter/migrated && \
+    mkdir -p /.jupyter && touch /.jupyter/jupyter_nbconvert_config.py && touch /.jupyter/migrated && \
+    # Stop Matplotlib printing junk to the console on first load
+    sed -i "s/^.*Matplotlib is building the font cache using fc-list.*$/# Warning removed by Kaggle/g" /opt/conda/lib/python3.6/site-packages/matplotlib/font_manager.py && \
+    # Make matplotlib output in Jupyter notebooks display correctly
+    mkdir -p /etc/ipython/ && echo "c = get_config(); c.IPKernelApp.matplotlib = 'inline'" > /etc/ipython/ipython_config.py
 
 # Finally, apply any locally defined patches.
 RUN /bin/bash -c \

From 8cc297ba226de87afc24c8b31c8c3d6fb05709f0 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Tue, 14 Nov 2017 11:28:11 +1100
Subject: [PATCH 0204/1660] Fix Jupyter test socket binding

---
 build | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/build b/build
index c9e7ad59..3f7e3664 100755
--- a/build
+++ b/build
@@ -18,7 +18,7 @@ mkdir -p /tmp/python-build/tmp
 mkdir -p /tmp/python-build/devshm
 mkdir -p /tmp/python-build/working
 # Check that Jupyter server can run; if it dies on startup, the `docker kill` command will throw an error
-docker run -d --name=jupyter_test --read-only --net=none -e HOME=/tmp -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build jupyter notebook --allow-root
+docker run -d --name=jupyter_test --read-only --net=none -e HOME=/tmp -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build jupyter notebook --allow-root --ip="*"
 sleep 3
 docker kill jupyter_test && docker rm jupyter_test
 docker run --rm -t --read-only --net=none -e HOME=/tmp -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build /bin/bash -c 'python /input/test_build.py'

From 5e3fe7ba896986ba0fdb91551a6070d981f10af3 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Fri, 17 Nov 2017 06:03:53 +1100
Subject: [PATCH 0205/1660] Add kmodes and librosa

---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 75a01699..e31e2a11 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -330,6 +330,8 @@ RUN pip install --upgrade mpld3 && \
     pip install --upgrade --ignore-installed setuptools && pip install --no-cache-dir git+git://github.com/ppwwyyxx/tensorpack && \
     pip install pycountry && pip install iso3166 && \
     pip install pydash && \
+    pip install kmodes && \
+    pip install librosa && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 064e9df2410bbddfc8c00fc75d14d853afe9687c Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Fri, 17 Nov 2017 06:28:05 +1100
Subject: [PATCH 0206/1660] Add PyTorch audio

---
 Dockerfile | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index e31e2a11..b82a3643 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -216,6 +216,10 @@ RUN apt-get update && \
     #cd /usr/local/src && git clone https://github.com/MTG/essentia.git && cd essentia && \
     #./waf configure --mode=release --build-static --with-python --with-cpptests --with-examples --with-vamp && \
     #./waf && ./waf install && mv /usr/local/lib/python3.6/site-packages/essentia /opt/conda/lib/python3.6 && \
+    # PyTorch Audio
+    apt-get install -y sox libsox-dev libsox-fmt-all && \
+    pip install cffi && \
+    cd /usr/local/src && git clone https://github.com/pytorch/audio && cd audio && python setup.py install && \
     # ~~~~ CLEAN UP ~~~~
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \

From c671751a4f7f48fa67d55c8562ae869633504dd6 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Fri, 17 Nov 2017 07:42:08 +1100
Subject: [PATCH 0207/1660] Adjust pytorch installation timing

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index b82a3643..209ab407 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -216,6 +216,8 @@ RUN apt-get update && \
     #cd /usr/local/src && git clone https://github.com/MTG/essentia.git && cd essentia && \
     #./waf configure --mode=release --build-static --with-python --with-cpptests --with-examples --with-vamp && \
     #./waf && ./waf install && mv /usr/local/lib/python3.6/site-packages/essentia /opt/conda/lib/python3.6 && \
+    # PyTorch
+    conda install pytorch torchvision -c soumith && \
     # PyTorch Audio
     apt-get install -y sox libsox-dev libsox-fmt-all && \
     pip install cffi && \
@@ -289,7 +291,6 @@ RUN pip install --upgrade mpld3 && \
     pip install bayespy && \
     pip install gplearn && \
     pip install PyAstronomy && \
-    conda install pytorch torchvision -c soumith && \
     pip install squarify && \
     pip install fuzzywuzzy && \
     pip install python-louvain && \

From 1b7d06f26a7d022e71831e8b6d0c44b9a9c55913 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Tue, 21 Nov 2017 06:02:33 +1100
Subject: [PATCH 0208/1660] Temporarily downgrade Pandas

---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 209ab407..62db1854 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -353,6 +353,8 @@ ENV PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/
 RUN conda install -f -y numpy==1.13.0 && \
     # Temporary patch for Dask getting downgraded, which breaks Keras
     pip install --upgrade dask && \
+    # Temporary downgrade for Pandas to circumvent https://github.com/pandas-dev/pandas/issues/18186
+    pip uninstall -y pandas && pip install pandas==0.20.3 && \
     # Matplotlib corrections:
     # set backend for matplotlib to Agg
     matplotlibrc_path=$(python -c "import site, os, fileinput; packages_dir = site.getsitepackages()[0]; print(os.path.join(packages_dir, 'matplotlib', 'mpl-data', 'matplotlibrc'))") && \

From f992da79bb7b3a5918607997cf0a5c36da655c2b Mon Sep 17 00:00:00 2001
From: Prince Grover <pgrover3@dons.usfca.edu>
Date: Fri, 24 Nov 2017 02:26:47 -0800
Subject: [PATCH 0209/1660] Update Dockerfile

---
 Dockerfile | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 62db1854..fe2ae5e1 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -370,3 +370,6 @@ RUN conda install -f -y numpy==1.13.0 && \
 # Finally, apply any locally defined patches.
 RUN /bin/bash -c \
     "cd / && for p in $(ls /tmp/patches/*.patch); do echo '= Applying patch '\${p}; patch -p2 < \${p}; done"
+
+# importing fastai library for dl and ml
+RUN pip install fastai

From 43ab989f52f756e891535b8cfaff041b3d8bdf7e Mon Sep 17 00:00:00 2001
From: paultimothymooney <30876065+paultimothymooney@users.noreply.github.com>
Date: Tue, 28 Nov 2017 10:36:10 -0700
Subject: [PATCH 0210/1660] Update Dockerfile

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 62db1854..1a59b31f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -239,6 +239,7 @@ RUN pip install --upgrade mpld3 && \
     pip install mplleaflet && \
     pip install gpxpy && \
     pip install arrow && \
+    pip install vtk && \
     pip install sexmachine  && \
     pip install Geohash && \
     # https://github.com/vinsci/geohash/issues/4

From a5c0a628cf539bf0d43fd2370907d9b138b66987 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Wed, 29 Nov 2017 12:36:24 +1100
Subject: [PATCH 0211/1660] Add dask-ml

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 62db1854..c98c75ba 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -326,6 +326,7 @@ RUN pip install --upgrade mpld3 && \
     pip install geoplot && \
     pip install eli5 && \
     pip install implicit && \
+    pip install dask-ml[xgboost] && \
     pip install kmeans-smote && \
     # Add google PAIR-code Facets
     cd /opt/ && git clone https://github.com/PAIR-code/facets && cd facets/ && jupyter nbextension install facets-dist/ --user && \

From 6c4cac180ced8b0712e3cd3b34adac19f6daaa46 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Thu, 30 Nov 2017 11:37:40 +1100
Subject: [PATCH 0212/1660] Switch MXNet to pip install, per docs

---
 Dockerfile | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index c98c75ba..19902475 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -149,10 +149,7 @@ RUN apt-get update && \
     cd /usr/local/src && git clone https://github.com/SciTools/cartopy.git && \
     cd cartopy && python setup.py install && \
     # MXNet
-    cd /usr/local/src && git clone --recursive https://github.com/dmlc/mxnet && \
-    cd /usr/local/src/mxnet && cp make/config.mk . && \
-    sed -i 's/ADD_LDFLAGS =/ADD_LDFLAGS = -lstdc++/' config.mk && \
-    make && cd python && python setup.py install && \
+    pip install mxnet==0.11.0 && \
     # h2o
     # This requires python-software-properties and Java.
     apt-get install -y python-software-properties zip && \

From ac42b270aa5da6eae52c8309e19d733e1727662d Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Thu, 30 Nov 2017 12:57:17 +1100
Subject: [PATCH 0213/1660] Add pandoc prior to deap

---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 19902475..6249dee5 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -240,6 +240,8 @@ RUN pip install --upgrade mpld3 && \
     pip install Geohash && \
     # https://github.com/vinsci/geohash/issues/4
     sed -i -- 's/geohash/.geohash/g' /opt/conda/lib/python3.6/site-packages/Geohash/__init__.py && \
+    # Pandoc is a dependency of deap
+    apt-get install pandoc && \
     pip install deap && \
     pip install tpot && \
     pip install haversine && \

From 3f43c35e96cf19cc4c221c98c7c8363ca1242093 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Thu, 30 Nov 2017 12:58:32 +1100
Subject: [PATCH 0214/1660] Add water-drinking bird

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 6249dee5..5d1eb9c3 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -241,7 +241,7 @@ RUN pip install --upgrade mpld3 && \
     # https://github.com/vinsci/geohash/issues/4
     sed -i -- 's/geohash/.geohash/g' /opt/conda/lib/python3.6/site-packages/Geohash/__init__.py && \
     # Pandoc is a dependency of deap
-    apt-get install pandoc && \
+    apt-get install -y pandoc && \
     pip install deap && \
     pip install tpot && \
     pip install haversine && \

From 369820302c17b0017c0ed69c2c03d39f4f2358aa Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Fri, 1 Dec 2017 10:37:11 +1100
Subject: [PATCH 0215/1660] Move pip to user request block

---
 Dockerfile | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index fe2ae5e1..049f3d37 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -337,6 +337,7 @@ RUN pip install --upgrade mpld3 && \
     pip install pydash && \
     pip install kmodes && \
     pip install librosa && \
+    pip install fastai && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \
@@ -370,6 +371,3 @@ RUN conda install -f -y numpy==1.13.0 && \
 # Finally, apply any locally defined patches.
 RUN /bin/bash -c \
     "cd / && for p in $(ls /tmp/patches/*.patch); do echo '= Applying patch '\${p}; patch -p2 < \${p}; done"
-
-# importing fastai library for dl and ml
-RUN pip install fastai

From 27f6a18242ca879ad679037deba38d0398fe0289 Mon Sep 17 00:00:00 2001
From: Mark Needham <mark.needham@neotechnology.com>
Date: Fri, 1 Dec 2017 14:33:10 +0000
Subject: [PATCH 0216/1660] adding the polyglot NLP library

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 49959cfc..2c8ab9e3 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -330,7 +330,7 @@ RUN pip install --upgrade mpld3 && \
     pip install kmeans-smote && \
     # Add google PAIR-code Facets
     cd /opt/ && git clone https://github.com/PAIR-code/facets && cd facets/ && jupyter nbextension install facets-dist/ --user && \
-    export PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/ && \    
+    export PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/ && \
     pip install --no-dependencies ethnicolr && \
     # Update setuptools and add tensorpack
     pip install --upgrade --ignore-installed setuptools && pip install --no-cache-dir git+git://github.com/ppwwyyxx/tensorpack && \
@@ -339,6 +339,7 @@ RUN pip install --upgrade mpld3 && \
     pip install kmodes && \
     pip install librosa && \
     pip install fastai && \
+    pip install polyglot && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From cf2e8966d9b6e758132d5f40c55f7843bfc8af82 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Mon, 4 Dec 2017 07:48:48 +1100
Subject: [PATCH 0217/1660] Add mmh3, fbpca, sentencepiece, glmnet

---
 Dockerfile | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 49959cfc..2b8cf04c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -339,6 +339,10 @@ RUN pip install --upgrade mpld3 && \
     pip install kmodes && \
     pip install librosa && \
     pip install fastai && \
+    pip install mmh3 && \
+    pip install fbpca && \
+    pip install sentencepiece && \
+    pip install glmnet_py && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From cef6c28f01e9aaf808a43ce3ab7cd66cacb2b086 Mon Sep 17 00:00:00 2001
From: emanceau <emanceau@quantmetry.com>
Date: Sun, 3 Dec 2017 22:02:49 +0100
Subject: [PATCH 0218/1660] adding lime package

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 16b0414e..fb332bf0 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -344,6 +344,7 @@ RUN pip install --upgrade mpld3 && \
     pip install fbpca && \
     pip install sentencepiece && \
     pip install glmnet_py && \
+    pip install lime && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 4a93b11a84651ad1f5a8e083dc9575eb310d267c Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Mon, 4 Dec 2017 08:05:02 +1100
Subject: [PATCH 0219/1660] Temporarily remove Vowpal Wabbit pending fix

---
 Dockerfile | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 16b0414e..05d4df58 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -12,10 +12,10 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     # Tensorflow
     pip install tensorflow && \
     # Vowpal Rabbit
-    apt-get install -y libboost-program-options-dev zlib1g-dev libboost-python-dev && \
-    cd /usr/lib/x86_64-linux-gnu/ && rm -f libboost_python.a && rm -f libboost_python.so && \
-    ln -sf libboost_python-py34.so libboost_python.so && ln -sf libboost_python-py34.a libboost_python.a && \
-    pip install vowpalwabbit && \
+    #apt-get install -y libboost-program-options-dev zlib1g-dev libboost-python-dev && \
+    #cd /usr/lib/x86_64-linux-gnu/ && rm -f libboost_python.a && rm -f libboost_python.so && \
+    #ln -sf libboost_python-py34.so libboost_python.so && ln -sf libboost_python-py34.a libboost_python.a && \
+    #pip install vowpalwabbit && \
     pip install seaborn python-dateutil dask pytagcloud pyyaml ggplot joblib \
     husl geopy ml_metrics mne pyshp gensim && \
     conda install -y -c conda-forge spacy && python -m spacy download en && \

From dff6abb230619509d8e14c79b69f0d16f6d60d3c Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Mon, 4 Dec 2017 09:06:43 +1100
Subject: [PATCH 0220/1660] Drop MLBox (causing dependency downgrades)

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 05d4df58..37cc6f05 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -311,7 +311,7 @@ RUN pip install --upgrade mpld3 && \
     pip install -e git+http://github.com/tensorflow/cleverhans.git#egg=cleverhans && \
     pip install leven && \
     pip install catboost && \
-    cd /usr/local/src && git clone --depth=1 https://github.com/AxeldeRomblay/MLBox && cd MLBox/python-package && python setup.py install && \
+    #cd /usr/local/src && git clone --depth=1 https://github.com/AxeldeRomblay/MLBox && cd MLBox/python-package && python setup.py install && \
     pip install fastFM && \
     pip install lightfm && \
     pip install paramnb && \

From fbb0fbc9a82c876bbda5b4cfd49e7f6f659d3a82 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Wed, 6 Dec 2017 05:28:18 +1100
Subject: [PATCH 0221/1660] Move ggplot to github install

---
 Dockerfile | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 37cc6f05..aae051ea 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -16,7 +16,7 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     #cd /usr/lib/x86_64-linux-gnu/ && rm -f libboost_python.a && rm -f libboost_python.so && \
     #ln -sf libboost_python-py34.so libboost_python.so && ln -sf libboost_python-py34.a libboost_python.a && \
     #pip install vowpalwabbit && \
-    pip install seaborn python-dateutil dask pytagcloud pyyaml ggplot joblib \
+    pip install seaborn python-dateutil dask pytagcloud pyyaml joblib \
     husl geopy ml_metrics mne pyshp gensim && \
     conda install -y -c conda-forge spacy && python -m spacy download en && \
     # The apt-get version of imagemagick is out of date and has compatibility issues, so we build from source
@@ -219,6 +219,8 @@ RUN apt-get update && \
     apt-get install -y sox libsox-dev libsox-fmt-all && \
     pip install cffi && \
     cd /usr/local/src && git clone https://github.com/pytorch/audio && cd audio && python setup.py install && \
+    # ggpy / ggplot
+    pip install git+https://github.com/yhat/ggplot.git && \
     # ~~~~ CLEAN UP ~~~~
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \

From e417b3a625be6541b8b1b0540ca26bc85fa51833 Mon Sep 17 00:00:00 2001
From: Nicolau Werneck <nwerneck@gmail.com>
Date: Wed, 6 Dec 2017 21:50:59 +0100
Subject: [PATCH 0222/1660] Annoy

Install Annoy, an approximate nearest-neighbor library. Properly tested in my local docker, no extra dependencies necessary...

https://github.com/spotify/annoy
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index fdd8291f..7c51e726 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -347,6 +347,7 @@ RUN pip install --upgrade mpld3 && \
     pip install sentencepiece && \
     pip install glmnet_py && \
     pip install lime && \
+    pip install annoy && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From cf118b03fcf78ae448142208797175d7490ee303 Mon Sep 17 00:00:00 2001
From: Paul Mooney <30876065+paultimothymooney@users.noreply.github.com>
Date: Wed, 6 Dec 2017 18:02:30 -0700
Subject: [PATCH 0223/1660] Update Dockerfile - install pronouncing and
 markovify

    pip install pronouncing && \
    pip install markovify && \

both are useful for natural language processing applications
---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index fdd8291f..c9c13947 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -239,6 +239,8 @@ RUN pip install --upgrade mpld3 && \
     pip install gpxpy && \
     pip install arrow && \
     pip install vtk && \
+    pip install pronouncing && \
+    pip install markovify && \
     pip install sexmachine  && \
     pip install Geohash && \
     # https://github.com/vinsci/geohash/issues/4

From 9eef34dafab855fb3f812637abe74f87dafe0d96 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Fri, 8 Dec 2017 07:21:22 +1100
Subject: [PATCH 0224/1660] Smoother pytorch install

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index fdd8291f..32dff3c8 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -214,7 +214,7 @@ RUN apt-get update && \
     #./waf configure --mode=release --build-static --with-python --with-cpptests --with-examples --with-vamp && \
     #./waf && ./waf install && mv /usr/local/lib/python3.6/site-packages/essentia /opt/conda/lib/python3.6 && \
     # PyTorch
-    conda install pytorch torchvision -c soumith && \
+    conda install -y pytorch torchvision -c soumith && \
     # PyTorch Audio
     apt-get install -y sox libsox-dev libsox-fmt-all && \
     pip install cffi && \

From 3b3251a3a2df477a9d2618c98f4051f57bb1aeb3 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Fri, 8 Dec 2017 07:23:01 +1100
Subject: [PATCH 0225/1660] Add memory_profiler

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 32dff3c8..f22a04f8 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -347,6 +347,7 @@ RUN pip install --upgrade mpld3 && \
     pip install sentencepiece && \
     pip install glmnet_py && \
     pip install lime && \
+    pip install memory_profiler && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 891e494743d247c8e939cba2abfa4fec9545234a Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Fri, 8 Dec 2017 07:25:00 +1100
Subject: [PATCH 0226/1660] Add Spacy en_core_web_lg

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index f22a04f8..7a16a022 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -19,6 +19,7 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     pip install seaborn python-dateutil dask pytagcloud pyyaml joblib \
     husl geopy ml_metrics mne pyshp gensim && \
     conda install -y -c conda-forge spacy && python -m spacy download en && \
+    python -m spacy download en_core_web_lg && \
     # The apt-get version of imagemagick is out of date and has compatibility issues, so we build from source
     apt-get -y install dbus fontconfig fontconfig-config fonts-dejavu-core fonts-droid ghostscript gsfonts hicolor-icon-theme \
   libavahi-client3 libavahi-common-data libavahi-common3 libcairo2 libcap-ng0 libcroco3 \

From 336c3108eb5e84a08fc20e76f21f80c2e6795617 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Fri, 8 Dec 2017 07:27:04 +1100
Subject: [PATCH 0227/1660] Add pyfasttext

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 7a16a022..7e027977 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -349,6 +349,7 @@ RUN pip install --upgrade mpld3 && \
     pip install glmnet_py && \
     pip install lime && \
     pip install memory_profiler && \
+    pip install pyfasttext && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 6ef6474239688c2693d2a9bc5bdb0be2ffcf5184 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Mon, 11 Dec 2017 12:52:28 +1100
Subject: [PATCH 0228/1660] Add category_encoders

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index adc8ac93..79b7ef8b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -353,6 +353,7 @@ RUN pip install --upgrade mpld3 && \
     pip install memory_profiler && \
     pip install pyfasttext && \
     pip install annoy && \
+    pip install category_encoders && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From b5be4f5702773c919313d6487b3b6051ad5f8c67 Mon Sep 17 00:00:00 2001
From: Paul Mooney <30876065+paultimothymooney@users.noreply.github.com>
Date: Mon, 11 Dec 2017 11:02:01 -0700
Subject: [PATCH 0229/1660] pip install nibabel

pip install nibabel

the nibabel library supports reading and writing of neuroimaging data formats.
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 79b7ef8b..5d0db4ed 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -240,6 +240,7 @@ RUN pip install --upgrade mpld3 && \
     pip install gpxpy && \
     pip install arrow && \
     pip install vtk && \
+    pip install nibabel && \
     pip install pronouncing && \
     pip install markovify && \
     pip install sexmachine  && \

From cbf5775ece3ad7b9e444c468ae0ca2c1286063d6 Mon Sep 17 00:00:00 2001
From: Aurelio Agundez <aurelio@agundez.com>
Date: Tue, 12 Dec 2017 14:04:48 -0800
Subject: [PATCH 0230/1660] Add BigQuery client library and proxy overrides

---
 Dockerfile                                    |  7 +++++-
 .../nbconvert-extensions.tpl                  |  0
 patches/sitecustomize.py                      | 23 +++++++++++++++++++
 3 files changed, 29 insertions(+), 1 deletion(-)
 rename nbconvert-extensions.tpl => patches/nbconvert-extensions.tpl (100%)
 create mode 100644 patches/sitecustomize.py

diff --git a/Dockerfile b/Dockerfile
index 7e027977..4c8983f6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,7 +1,7 @@
 FROM continuumio/anaconda3:4.4.0
 
 ADD patches/ /tmp/patches/
-ADD nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
+ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
 
     # Use a fixed apt-get repo to stop intermittent failures due to flaky httpredir connections,
     # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
@@ -350,6 +350,7 @@ RUN pip install --upgrade mpld3 && \
     pip install lime && \
     pip install memory_profiler && \
     pip install pyfasttext && \
+    pip install google-cloud-bigquery && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \
@@ -380,6 +381,10 @@ RUN conda install -f -y numpy==1.13.0 && \
     # Make matplotlib output in Jupyter notebooks display correctly
     mkdir -p /etc/ipython/ && echo "c = get_config(); c.IPKernelApp.matplotlib = 'inline'" > /etc/ipython/ipython_config.py
 
+# Add BigQuery client proxy settings
+ENV PYTHONUSERBASE "/root/.local"
+ADD patches/sitecustomize.py /root/.local/lib/python3.6/site-packages/sitecustomize.py
+
 # Finally, apply any locally defined patches.
 RUN /bin/bash -c \
     "cd / && for p in $(ls /tmp/patches/*.patch); do echo '= Applying patch '\${p}; patch -p2 < \${p}; done"
diff --git a/nbconvert-extensions.tpl b/patches/nbconvert-extensions.tpl
similarity index 100%
rename from nbconvert-extensions.tpl
rename to patches/nbconvert-extensions.tpl
diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
new file mode 100644
index 00000000..4701a549
--- /dev/null
+++ b/patches/sitecustomize.py
@@ -0,0 +1,23 @@
+# Monkey patches BigQuery client creation to use data proxy
+import os
+
+kaggle_proxy_data = os.getenv("KAGGLE_PROXY_DATA")
+if kaggle_proxy_data:
+    from google.auth import credentials
+    from google.cloud import bigquery
+    from google.cloud.bigquery._http import Connection
+    from google.cloud import _http
+    from google.cloud.bigquery import __version__
+
+    Connection.API_BASE_URL = os.getenv("KAGGLE_PROXY_URL")
+
+    _CLIENT_INFO = _http.CLIENT_INFO_TEMPLATE.format(__version__)
+    Connection._EXTRA_HEADERS = {
+        _http.CLIENT_INFO_HEADER: _CLIENT_INFO,
+        'X-KAGGLE-PROXY-DATA': kaggle_proxy_data
+    }
+
+    bq_client = bigquery.Client
+    bigquery.Client = lambda: bq_client(
+        credentials=credentials.AnonymousCredentials(),
+        project="bigquery-public-data")
\ No newline at end of file

From f2a43611a1c7ce1d24bb089e397312bff9d5fe0e Mon Sep 17 00:00:00 2001
From: Aurelio Agundez <aurelio@agundez.com>
Date: Tue, 12 Dec 2017 14:48:01 -0800
Subject: [PATCH 0231/1660] Implement CR feedback

---
 patches/sitecustomize.py | 17 ++++++-----------
 test_build.py            |  4 ++++
 2 files changed, 10 insertions(+), 11 deletions(-)

diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index 4701a549..1500c625 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -1,4 +1,4 @@
-# Monkey patches BigQuery client creation to use data proxy
+# Monkey patches BigQuery client creation to use proxy.
 import os
 
 kaggle_proxy_data = os.getenv("KAGGLE_PROXY_DATA")
@@ -6,18 +6,13 @@
     from google.auth import credentials
     from google.cloud import bigquery
     from google.cloud.bigquery._http import Connection
-    from google.cloud import _http
-    from google.cloud.bigquery import __version__
 
     Connection.API_BASE_URL = os.getenv("KAGGLE_PROXY_URL")
-
-    _CLIENT_INFO = _http.CLIENT_INFO_TEMPLATE.format(__version__)
-    Connection._EXTRA_HEADERS = {
-        _http.CLIENT_INFO_HEADER: _CLIENT_INFO,
-        'X-KAGGLE-PROXY-DATA': kaggle_proxy_data
-    }
+    Connection._EXTRA_HEADERS["X-KAGGLE-PROXY-DATA"] = kaggle_proxy_data
 
     bq_client = bigquery.Client
-    bigquery.Client = lambda: bq_client(
+    bigquery.Client = lambda *args, **kwargs: bq_client(
+        *args,
         credentials=credentials.AnonymousCredentials(),
-        project="bigquery-public-data")
\ No newline at end of file
+        project="bigquery-public-data",
+        **kwargs)
\ No newline at end of file
diff --git a/test_build.py b/test_build.py
index 8e97f4ae..0af541f4 100644
--- a/test_build.py
+++ b/test_build.py
@@ -70,3 +70,7 @@
 
 from skimage.io import imread
 print("skimage ok")
+
+from google.cloud import bigquery
+client = bigquery.Client()
+print("bigquery ok")
\ No newline at end of file

From 2569da55ba6aec9bc6e4f90b2e274b17593ad0df Mon Sep 17 00:00:00 2001
From: Aurelio Agundez <aurelio@agundez.com>
Date: Tue, 12 Dec 2017 22:01:07 -0800
Subject: [PATCH 0232/1660] Fix build and add BigQuery proxy test

---
 Dockerfile    | 44 ++++++++++++++++----------------------------
 test_build.py | 36 +++++++++++++++++++++++++++++++++++-
 2 files changed, 51 insertions(+), 29 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 22f16c17..f5434e3d 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -22,31 +22,19 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     python -m spacy download en_core_web_lg && \
     # The apt-get version of imagemagick is out of date and has compatibility issues, so we build from source
     apt-get -y install dbus fontconfig fontconfig-config fonts-dejavu-core fonts-droid ghostscript gsfonts hicolor-icon-theme \
-  libavahi-client3 libavahi-common-data libavahi-common3 libcairo2 libcap-ng0 libcroco3 \
-  libcups2 libcupsfilters1 libcupsimage2 libdatrie1 libdbus-1-3 libdjvulibre-text libdjvulibre21 libfftw3-double3 libfontconfig1 \
-  libfreetype6 libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-common libgomp1 libgraphite2-3 libgs9 libgs9-common libharfbuzz0b libijs-0.35 \
-  libilmbase6 libjasper1 libjbig0 libjbig2dec0 libjpeg62-turbo liblcms2-2 liblqr-1-0 libltdl7 libmagickcore-6.q16-2 \
-  libmagickcore-6.q16-2-extra libmagickwand-6.q16-2 libnetpbm10 libopenexr6 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 \
-  libpaper-utils libpaper1 libpixman-1-0 libpng12-0 librsvg2-2 librsvg2-common libthai-data libthai0 libtiff5 libwmf0.2-7 \
-  libxcb-render0 libxcb-shm0 netpbm poppler-data p7zip-full && \
-    cd /usr/local/src && \
-    wget http://transloadit.imagemagick.org/download/ImageMagick.tar.gz && \
-    tar xzf ImageMagick.tar.gz && cd `ls -d ImageMagick-*` && pwd && ls -al && ./configure && \
-    make -j $(nproc) && make install && \
-    # clean up ImageMagick source files
-    cd ../ && rm -rf ImageMagick* && \
+libavahi-client3 libavahi-common-data libavahi-common3 libcairo2 libcap-ng0 libcroco3 \
+libcups2 libcupsfilters1 libcupsimage2 libdatrie1 libdbus-1-3 libdjvulibre-text libdjvulibre21 libfftw3-double3 libfontconfig1 \
+libfreetype6 libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-common libgomp1 libgraphite2-3 libgs9 libgs9-common libharfbuzz0b libijs-0.35 \
+libilmbase6 libjasper1 libjbig0 libjbig2dec0 libjpeg62-turbo liblcms2-2 liblqr-1-0 libltdl7 libmagickcore-6.q16-2 \
+libmagickcore-6.q16-2-extra libmagickwand-6.q16-2 libnetpbm10 libopenexr6 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 \
+libpaper-utils libpaper1 libpixman-1-0 libpng12-0 librsvg2-2 librsvg2-common libthai-data libthai0 libtiff5 libwmf0.2-7 \
+libxcb-render0 libxcb-shm0 netpbm poppler-data p7zip-full && \
+    conda install -y -c conda-forge imagemagick && \
     apt-get -y install libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev && \
     apt-get -y install libtbb2 libtbb-dev libjpeg-dev libtiff-dev libjasper-dev && \
     apt-get -y install cmake && \
-    cd /usr/local/src && git clone --depth 1 https://github.com/Itseez/opencv.git && \
-    cd opencv && \
-    mkdir build && cd build && \
-    cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D WITH_FFMPEG=OFF -D WITH_V4L=ON -D WITH_QT=OFF -D WITH_OPENGL=ON -D PYTHON3_LIBRARY=/opt/conda/lib/libpython3.6m.so -D PYTHON3_INCLUDE_DIR=/opt/conda/include/python3.6m/ -D PYTHON_LIBRARY=/opt/conda/lib/libpython3.6m.so -D PYTHON_INCLUDE_DIR=/opt/conda/include/python3.6m/ -D BUILD_PNG=TRUE .. && \
-    make -j $(nproc) && make install && \
-    echo "/usr/local/lib/python3.6/site-packages" > /etc/ld.so.conf.d/opencv.conf && ldconfig && \
-    cp /usr/local/lib/python3.6/site-packages/cv2.cpython-36m-x86_64-linux-gnu.so /opt/conda/lib/python3.6/site-packages/ && \
+    conda install -y -c conda-forge opencv && \
     # Clean up install cruft
-    rm -rf /usr/local/src/opencv && \
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean
 
@@ -123,7 +111,6 @@ vader_lexicon verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe && \
     apt-get autoremove -y && apt-get clean && \
     rm -rf /usr/local/src/*
 
-    # Install OpenCV-3 with Python support
 RUN apt-get update && \
     # Libgeos, for mapping libraries
     apt-get -y install libgeos-dev && \
@@ -209,6 +196,8 @@ RUN apt-get update && \
     cd pyeconometrics && python setup.py install && \
     apt-get install -y graphviz && pip install graphviz && \
     apt-get install -y libgdal1-dev && GDAL_CONFIG=/usr/bin/gdal-config pip install fiona && pip install geopandas && \
+    # Pandoc is a dependency of deap
+    apt-get install -y pandoc && \
     cd /usr/local/src && git clone git://github.com/scikit-learn-contrib/py-earth.git && \
     cd py-earth && python setup.py install && \
     #cd /usr/local/src && git clone https://github.com/MTG/essentia.git && cd essentia && \
@@ -246,8 +235,6 @@ RUN pip install --upgrade mpld3 && \
     pip install Geohash && \
     # https://github.com/vinsci/geohash/issues/4
     sed -i -- 's/geohash/.geohash/g' /opt/conda/lib/python3.6/site-packages/Geohash/__init__.py && \
-    # Pandoc is a dependency of deap
-    apt-get install -y pandoc && \
     pip install deap && \
     pip install tpot && \
     pip install haversine && \
@@ -278,7 +265,9 @@ RUN pip install --upgrade mpld3 && \
     pip install altair && \
     pip install pystan && \
     pip install ImageHash && \
-    pip install git+https://github.com/hammerlab/fancyimpute.git && \
+    conda install -y ecos && \
+    conda install -y CVXcanon && \
+    pip install fancyimpute && \
     pip install git+https://github.com/pymc-devs/pymc3 && \
     pip install tifffile && \
     pip install spectral && \
@@ -302,9 +291,8 @@ RUN pip install --upgrade mpld3 && \
     pip install pyexcel-ods && \
     pip install sklearn-pandas && \
     pip install stemming && \
-    pip install fbprophet && \
-    conda install -y -c conda-forge -c ioam holoviews && \
-    pip install git+https://github.com/ioam/geoviews.git && \
+    conda install -y -c conda-forge fbprophet && \
+    conda install -y -c conda-forge -c ioam holoviews geoviews && \
     pip install hypertools && \
     # Nxviz has been causing an installation issue by trying unsuccessfully to remove setuptools.
     #pip install nxviz && \
diff --git a/test_build.py b/test_build.py
index 0af541f4..76e117e1 100644
--- a/test_build.py
+++ b/test_build.py
@@ -32,6 +32,7 @@
 print("xgboost XGBClassifier: ok")
 
 import matplotlib.pyplot as plt
+plt.switch_backend('agg')
 plt.plot(np.linspace(0,1,50), np.random.rand(50))
 plt.savefig("plot1.png")
 print("matplotlib.pyplot ok")
@@ -71,6 +72,39 @@
 from skimage.io import imread
 print("skimage ok")
 
+import os
+import threading
+from http.server import BaseHTTPRequestHandler, HTTPServer
 from google.cloud import bigquery
+
+HOSTNAME = "127.0.0.1"
+PORT = 8000
+URL = "http://%s:%s" % (HOSTNAME, PORT)
+
+header_found = False
+
+class HTTPHandler(BaseHTTPRequestHandler):
+    def do_HEAD(s):
+        s.send_response(200)
+
+    def do_GET(s):
+        global header_found
+        header_found = any(k for k in s.headers if k == "X-KAGGLE-PROXY-DATA" and s.headers[k] == "test-key")
+        s.send_response(200)
+
+httpd = HTTPServer((HOSTNAME, PORT), HTTPHandler)
+thread = threading.Thread(target=httpd.serve_forever).start()
+
 client = bigquery.Client()
-print("bigquery ok")
\ No newline at end of file
+
+try:
+    for ds in client.list_datasets(): pass
+except:
+    pass
+
+if header_found:
+    print("bigquery proxy ok")
+else:
+    print("bigquery proxy failed")
+
+httpd.shutdown()

From 9b418b2791bda23b32474c6cff53a65af691593c Mon Sep 17 00:00:00 2001
From: Aurelio Agundez <aurelio@agundez.com>
Date: Tue, 12 Dec 2017 22:05:20 -0800
Subject: [PATCH 0233/1660] Add build test environment variables

---
 build | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/build b/build
index 3f7e3664..ce5db8d5 100755
--- a/build
+++ b/build
@@ -21,7 +21,7 @@ mkdir -p /tmp/python-build/working
 docker run -d --name=jupyter_test --read-only --net=none -e HOME=/tmp -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build jupyter notebook --allow-root --ip="*"
 sleep 3
 docker kill jupyter_test && docker rm jupyter_test
-docker run --rm -t --read-only --net=none -e HOME=/tmp -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build /bin/bash -c 'python /input/test_build.py'
+docker run --rm -t --read-only --net=none -e HOME=/tmp -e KAGGLE_PROXY_DATA=test-key -e KAGGLE_PROXY_URL=http://127.0.0.1:8000 -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build /bin/bash -c 'python /input/test_build.py'
 
 # The test_build.py script creates a plot called plot1.png; check that it exists
 [ -s /tmp/python-build/working/plot1.png ] || exit 1

From 12b45f59f89944355e7762f26fcb086b33362120 Mon Sep 17 00:00:00 2001
From: Aurelio Agundez <aurelio@agundez.com>
Date: Wed, 13 Dec 2017 09:25:08 -0800
Subject: [PATCH 0234/1660] Remove unused `thread` variable

---
 test_build.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/test_build.py b/test_build.py
index 76e117e1..33186dd3 100644
--- a/test_build.py
+++ b/test_build.py
@@ -93,7 +93,7 @@ def do_GET(s):
         s.send_response(200)
 
 httpd = HTTPServer((HOSTNAME, PORT), HTTPHandler)
-thread = threading.Thread(target=httpd.serve_forever).start()
+threading.Thread(target=httpd.serve_forever).start()
 
 client = bigquery.Client()
 

From c8f45c5bf7e2e5e0d790c5602780df27c5867970 Mon Sep 17 00:00:00 2001
From: Aurelio Agundez <aurelio@agundez.com>
Date: Wed, 13 Dec 2017 09:49:22 -0800
Subject: [PATCH 0235/1660] Add asserts and fake-called to BQ test

---
 test_build.py | 20 ++++++++++++--------
 1 file changed, 12 insertions(+), 8 deletions(-)

diff --git a/test_build.py b/test_build.py
index 33186dd3..b6c50d20 100644
--- a/test_build.py
+++ b/test_build.py
@@ -81,15 +81,18 @@
 PORT = 8000
 URL = "http://%s:%s" % (HOSTNAME, PORT)
 
-header_found = False
+fake_bq_called = False
+fake_bq_header_found = False
 
 class HTTPHandler(BaseHTTPRequestHandler):
     def do_HEAD(s):
         s.send_response(200)
 
     def do_GET(s):
-        global header_found
-        header_found = any(k for k in s.headers if k == "X-KAGGLE-PROXY-DATA" and s.headers[k] == "test-key")
+        global fake_bq_called
+        global fake_bq_header_found
+        fale_bq_called = True
+        fake_bq_header_found = any(k for k in s.headers if k == "X-KAGGLE-PROXY-DATA" and s.headers[k] == "test-key")
         s.send_response(200)
 
 httpd = HTTPServer((HOSTNAME, PORT), HTTPHandler)
@@ -102,9 +105,10 @@ def do_GET(s):
 except:
     pass
 
-if header_found:
-    print("bigquery proxy ok")
-else:
-    print("bigquery proxy failed")
-
 httpd.shutdown()
+
+assert fake_bq_called, "Fake server did not recieve a request from the BQ client."
+assert fake_bq_header_found, "X-KAGGLE-PROXY-DATA header was missing from the BQ request."
+
+print("bigquery proxy ok")
+

From 627e7834e369f8ae388a4bcfab87913dd66e33c6 Mon Sep 17 00:00:00 2001
From: Aurelio Agundez <aurelio@agundez.com>
Date: Wed, 13 Dec 2017 09:53:24 -0800
Subject: [PATCH 0236/1660] Fix typo

---
 test_build.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/test_build.py b/test_build.py
index b6c50d20..de5678b2 100644
--- a/test_build.py
+++ b/test_build.py
@@ -91,7 +91,7 @@ def do_HEAD(s):
     def do_GET(s):
         global fake_bq_called
         global fake_bq_header_found
-        fale_bq_called = True
+        fake_bq_called = True
         fake_bq_header_found = any(k for k in s.headers if k == "X-KAGGLE-PROXY-DATA" and s.headers[k] == "test-key")
         s.send_response(200)
 

From 92544c3b826e6f6446c6417dfb853c0aec5567a7 Mon Sep 17 00:00:00 2001
From: "Jason S. Kessler" <jason.kessler@gmail.com>
Date: Fri, 15 Dec 2017 15:00:07 -0800
Subject: [PATCH 0237/1660] Update Dockerfile to install Scattertext

Scattertext produces interactive visualizations showing how BoW features differ among categorized documents. This can be very useful in exploring text classification tasks.  It can also be used for visualizing categorical feature importance scores.
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index f5434e3d..88eeaf17 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -343,6 +343,7 @@ RUN pip install --upgrade mpld3 && \
     pip install annoy && \
     pip install category_encoders && \
     pip install google-cloud-bigquery && \
+    pip install scattertext && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From cede7f34c4dbda75299a45855a8b6fe3bda631e8 Mon Sep 17 00:00:00 2001
From: Aurelio Agundez <aurelio@agundez.com>
Date: Fri, 15 Dec 2017 23:31:01 -0800
Subject: [PATCH 0238/1660] Fix matplotlib backend

---
 Dockerfile    | 7 +++----
 test_build.py | 1 -
 2 files changed, 3 insertions(+), 5 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index f5434e3d..c3a425f6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -361,10 +361,6 @@ RUN conda install -f -y numpy==1.13.0 && \
     pip install --upgrade dask && \
     # Temporary downgrade for Pandas to circumvent https://github.com/pandas-dev/pandas/issues/18186
     pip uninstall -y pandas && pip install pandas==0.20.3 && \
-    # Matplotlib corrections:
-    # set backend for matplotlib to Agg
-    matplotlibrc_path=$(python -c "import site, os, fileinput; packages_dir = site.getsitepackages()[0]; print(os.path.join(packages_dir, 'matplotlib', 'mpl-data', 'matplotlibrc'))") && \
-    sed -i 's/^backend      : TkAgg/backend      : agg/' $matplotlibrc_path  && \
     # Stop jupyter nbconvert trying to rewrite its folder hierarchy
     mkdir -p /root/.jupyter && touch /root/.jupyter/jupyter_nbconvert_config.py && touch /root/.jupyter/migrated && \
     mkdir -p /.jupyter && touch /.jupyter/jupyter_nbconvert_config.py && touch /.jupyter/migrated && \
@@ -377,6 +373,9 @@ RUN conda install -f -y numpy==1.13.0 && \
 ENV PYTHONUSERBASE "/root/.local"
 ADD patches/sitecustomize.py /root/.local/lib/python3.6/site-packages/sitecustomize.py
 
+# Set backend for matplotlib
+ENV MPLBACKEND "agg"
+
 # Finally, apply any locally defined patches.
 RUN /bin/bash -c \
     "cd / && for p in $(ls /tmp/patches/*.patch); do echo '= Applying patch '\${p}; patch -p2 < \${p}; done"
diff --git a/test_build.py b/test_build.py
index de5678b2..4b0415c8 100644
--- a/test_build.py
+++ b/test_build.py
@@ -32,7 +32,6 @@
 print("xgboost XGBClassifier: ok")
 
 import matplotlib.pyplot as plt
-plt.switch_backend('agg')
 plt.plot(np.linspace(0,1,50), np.random.rand(50))
 plt.savefig("plot1.png")
 print("matplotlib.pyplot ok")

From 37d0a16a430a132e8b48454a5bcdd3356f43c179 Mon Sep 17 00:00:00 2001
From: Aurelio Agundez <aurelio@agundez.com>
Date: Sat, 16 Dec 2017 18:52:27 -0800
Subject: [PATCH 0239/1660] Revert conda installation of `imagemagick` and
 `opencv` do to possible regression (changes in integration tests image
 output)

---
 Dockerfile | 16 ++++++++++++++--
 1 file changed, 14 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index c3a425f6..6afc2613 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -29,12 +29,24 @@ libilmbase6 libjasper1 libjbig0 libjbig2dec0 libjpeg62-turbo liblcms2-2 liblqr-1
 libmagickcore-6.q16-2-extra libmagickwand-6.q16-2 libnetpbm10 libopenexr6 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 \
 libpaper-utils libpaper1 libpixman-1-0 libpng12-0 librsvg2-2 librsvg2-common libthai-data libthai0 libtiff5 libwmf0.2-7 \
 libxcb-render0 libxcb-shm0 netpbm poppler-data p7zip-full && \
-    conda install -y -c conda-forge imagemagick && \
+    cd /usr/local/src && \
+    wget http://transloadit.imagemagick.org/download/ImageMagick.tar.gz && \
+    tar xzf ImageMagick.tar.gz && cd `ls -d ImageMagick-*` && pwd && ls -al && ./configure && \
+    make -j $(nproc) && make install && \
+    # clean up ImageMagick source files
+    cd ../ && rm -rf ImageMagick* && \
     apt-get -y install libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev && \
     apt-get -y install libtbb2 libtbb-dev libjpeg-dev libtiff-dev libjasper-dev && \
     apt-get -y install cmake && \
-    conda install -y -c conda-forge opencv && \
+    cd /usr/local/src && git clone --depth 1 https://github.com/Itseez/opencv.git && \
+    cd opencv && \
+    mkdir build && cd build && \
+    cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D WITH_FFMPEG=OFF -D WITH_V4L=ON -D WITH_QT=OFF -D WITH_OPENGL=ON -D PYTHON3_LIBRARY=/opt/conda/lib/libpython3.6m.so -D PYTHON3_INCLUDE_DIR=/opt/conda/include/python3.6m/ -D PYTHON_LIBRARY=/opt/conda/lib/libpython3.6m.so -D PYTHON_INCLUDE_DIR=/opt/conda/include/python3.6m/ -D BUILD_PNG=TRUE .. && \
+    make -j $(nproc) && make install && \
+    echo "/usr/local/lib/python3.6/site-packages" > /etc/ld.so.conf.d/opencv.conf && ldconfig && \
+    cp /usr/local/lib/python3.6/site-packages/cv2.cpython-36m-x86_64-linux-gnu.so /opt/conda/lib/python3.6/site-packages/ && \
     # Clean up install cruft
+    rm -rf /usr/local/src/opencv && \
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean
 

From ab26cf6d875c6d5efbe6485452a3c821d3bd43bf Mon Sep 17 00:00:00 2001
From: Kilian Batzner <github@kilians.net>
Date: Sun, 17 Dec 2017 15:34:52 +0100
Subject: [PATCH 0240/1660] Add pip install ortools in Dockerfile

ortools is the Python wrapper for the Google Optimization Tools: https://developers.google.com/optimization/
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 6afc2613..dd4e8b4c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -355,6 +355,7 @@ RUN pip install --upgrade mpld3 && \
     pip install annoy && \
     pip install category_encoders && \
     pip install google-cloud-bigquery && \
+    pip install ortools && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 1d0e9d7275cf6de1eb53145a006f704116f5f736 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Tue, 19 Dec 2017 06:53:34 +1100
Subject: [PATCH 0241/1660] Add cufflinks

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index ffbc68bc..c466c5f9 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -349,6 +349,7 @@ RUN pip install --upgrade mpld3 && \
     pip install mmh3 && \
     pip install fbpca && \
     pip install sentencepiece && \
+    pip install cufflinks && \
     pip install glmnet_py && \
     pip install lime && \
     pip install memory_profiler && \

From a6e3907244717c12bd77c8c61db9d6ae9b351a3b Mon Sep 17 00:00:00 2001
From: "Pradipta A. Suryadi" <116080050.pas@gmail.com>
Date: Tue, 19 Dec 2017 15:50:03 +0700
Subject: [PATCH 0242/1660] Add Janome
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Janome (蛇の目) is a Japanese morphological analysis engine (tokenizer, pos-tagger) including built-in dictionary and language model.
---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index c466c5f9..947430d9 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -359,6 +359,8 @@ RUN pip install --upgrade mpld3 && \
     pip install google-cloud-bigquery && \
     pip install ortools && \
     pip install scattertext && \
+    # Add Japanese morphological analysis engine
+    pip install janome &&\
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From ae7a2bc7cb685c4a81248b35075460eb477e567a Mon Sep 17 00:00:00 2001
From: Aurelio Agundez <aurelio@agundez.com>
Date: Tue, 19 Dec 2017 08:54:29 -0800
Subject: [PATCH 0243/1660] Fetch proxy project from env var

---
 build                    | 2 +-
 patches/sitecustomize.py | 8 ++++----
 2 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/build b/build
index ce5db8d5..fce4dd99 100755
--- a/build
+++ b/build
@@ -21,7 +21,7 @@ mkdir -p /tmp/python-build/working
 docker run -d --name=jupyter_test --read-only --net=none -e HOME=/tmp -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build jupyter notebook --allow-root --ip="*"
 sleep 3
 docker kill jupyter_test && docker rm jupyter_test
-docker run --rm -t --read-only --net=none -e HOME=/tmp -e KAGGLE_PROXY_DATA=test-key -e KAGGLE_PROXY_URL=http://127.0.0.1:8000 -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build /bin/bash -c 'python /input/test_build.py'
+docker run --rm -t --read-only --net=none -e HOME=/tmp -e KAGGLE_PROXY_TOKEN=test-key -e KAGGLE_PROXY_URL=http://127.0.0.1:8000 -e KAGGLE_PROXY_PROJECT=test -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build /bin/bash -c 'python /input/test_build.py'
 
 # The test_build.py script creates a plot called plot1.png; check that it exists
 [ -s /tmp/python-build/working/plot1.png ] || exit 1
diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index 1500c625..42dad46a 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -1,18 +1,18 @@
 # Monkey patches BigQuery client creation to use proxy.
 import os
 
-kaggle_proxy_data = os.getenv("KAGGLE_PROXY_DATA")
-if kaggle_proxy_data:
+kaggle_proxy_token = os.getenv("KAGGLE_PROXY_TOKEN")
+if kaggle_proxy_token:
     from google.auth import credentials
     from google.cloud import bigquery
     from google.cloud.bigquery._http import Connection
 
     Connection.API_BASE_URL = os.getenv("KAGGLE_PROXY_URL")
-    Connection._EXTRA_HEADERS["X-KAGGLE-PROXY-DATA"] = kaggle_proxy_data
+    Connection._EXTRA_HEADERS["X-KAGGLE-PROXY-DATA"] = kaggle_proxy_token
 
     bq_client = bigquery.Client
     bigquery.Client = lambda *args, **kwargs: bq_client(
         *args,
         credentials=credentials.AnonymousCredentials(),
-        project="bigquery-public-data",
+        project=os.getenv("KAGGLE_PROXY_PROJECT"),
         **kwargs)
\ No newline at end of file

From a5b8052078a873e02858a2985686cea60e2c8b81 Mon Sep 17 00:00:00 2001
From: "Pradipta A. Suryadi" <116080050.pas@gmail.com>
Date: Wed, 20 Dec 2017 08:37:52 +0700
Subject: [PATCH 0244/1660] Add Space

Adding space in EOL separator.
---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 947430d9..72ee9c4f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -360,7 +360,7 @@ RUN pip install --upgrade mpld3 && \
     pip install ortools && \
     pip install scattertext && \
     # Add Japanese morphological analysis engine
-    pip install janome &&\
+    pip install janome && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From fd3ff2840f78906925be48f4772aeb114bc31561 Mon Sep 17 00:00:00 2001
From: bertcarremans <bertcarremans@users.noreply.github.com>
Date: Wed, 20 Dec 2017 20:33:52 +0100
Subject: [PATCH 0245/1660] add emoji package

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index c466c5f9..53f5aea3 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -359,6 +359,7 @@ RUN pip install --upgrade mpld3 && \
     pip install google-cloud-bigquery && \
     pip install ortools && \
     pip install scattertext && \
+    pip install emoji && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 18d159e58ee4d7591882cf2ff3ffd868a35bc8fb Mon Sep 17 00:00:00 2001
From: Paul Mooney <30876065+paultimothymooney@users.noreply.github.com>
Date: Wed, 20 Dec 2017 14:16:31 -0700
Subject: [PATCH 0246/1660] pip install nilearn

Nilearn: Machine learning for NeuroImaging in Python
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index c466c5f9..e531e442 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -241,6 +241,7 @@ RUN pip install --upgrade mpld3 && \
     pip install gpxpy && \
     pip install arrow && \
     pip install vtk && \
+    pip install nilearn && \
     pip install nibabel && \
     pip install pronouncing && \
     pip install markovify && \

From 111c73344afa6dd984f39935b746b4eef593c89e Mon Sep 17 00:00:00 2001
From: Behzad Golshan <behzad@recruit.ai>
Date: Wed, 20 Dec 2017 15:04:18 -0800
Subject: [PATCH 0247/1660] Adding the pykoko package
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Koko is an information extraction tool (developed in Python 3) that allows users to query a text corpus and extract those entities that is of interest to them. A wide range of lexical, syntactic and semantic patterns can be specified using Koko’s query language which can be combined to efficiently extract and score relevant entities.
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index c466c5f9..57a2de79 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -359,6 +359,7 @@ RUN pip install --upgrade mpld3 && \
     pip install google-cloud-bigquery && \
     pip install ortools && \
     pip install scattertext && \
+    pip install pykoko && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 7cc56bc7f3d184acb52be1b5cb19ac1d7bb826d4 Mon Sep 17 00:00:00 2001
From: Seth Rothschild <seth.j.rothschild@gmail.com>
Date: Thu, 21 Dec 2017 10:10:21 -0500
Subject: [PATCH 0248/1660] pip install featuretools

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index c466c5f9..21d20895 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -359,6 +359,7 @@ RUN pip install --upgrade mpld3 && \
     pip install google-cloud-bigquery && \
     pip install ortools && \
     pip install scattertext && \
+    pip install featuretools && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From e1bc5afa633328594861e348377f0d210186882b Mon Sep 17 00:00:00 2001
From: Paul Mooney <30876065+paultimothymooney@users.noreply.github.com>
Date: Mon, 25 Dec 2017 19:18:48 -0700
Subject: [PATCH 0249/1660] Update Dockerfile

---
 Dockerfile | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index c466c5f9..386dd4b9 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -244,6 +244,10 @@ RUN pip install --upgrade mpld3 && \
     pip install nibabel && \
     pip install pronouncing && \
     pip install markovify && \
+    pip install imgaug && \
+    pip install preprocessing && \
+    pip install Baker && \
+    pip install path.py && \
     pip install sexmachine  && \
     pip install Geohash && \
     # https://github.com/vinsci/geohash/issues/4

From 469489bb63cd3217e6af109a447d5cfaf7319a44 Mon Sep 17 00:00:00 2001
From: Mihir Garg <mihirgarg2012@yahoo.in>
Date: Tue, 26 Dec 2017 23:17:30 +0530
Subject: [PATCH 0250/1660] Update Dockerfile

---
 Dockerfile | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index c466c5f9..bffa7223 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -395,3 +395,7 @@ ENV MPLBACKEND "agg"
 # Finally, apply any locally defined patches.
 RUN /bin/bash -c \
     "cd / && for p in $(ls /tmp/patches/*.patch); do echo '= Applying patch '\${p}; patch -p2 < \${p}; done"
+    
+# Pandas data reader
+RUN pip install pandas-datareader
+

From cb9399f5439ca4bb2ebdc754100ba34a58d454e2 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Tue, 9 Jan 2018 10:35:14 +1100
Subject: [PATCH 0251/1660] Remove missing hmm_treebank_pos_tagger dataset

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 907d1000..9b4a9d62 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -106,7 +106,7 @@ RUN apt-get install -y libfreetype6-dev && \
     basque_grammars biocreative_ppi bllip_wsj_no_aux \
 book_grammars brown brown_tei cess_cat cess_esp chat80 city_database cmudict \
 comtrans conll2000 conll2002 conll2007 crubadan dependency_treebank \
-europarl_raw floresta gazetteers genesis gutenberg hmm_treebank_pos_tagger \
+europarl_raw floresta gazetteers genesis gutenberg \
 ieer inaugural indian jeita kimmo knbc large_grammars lin_thesaurus mac_morpho machado \
 masc_tagged maxent_ne_chunker maxent_treebank_pos_tagger moses_sample movie_reviews \
 mte_teip5 names nps_chat omw opinion_lexicon paradigms \

From 19dab85a3b254602da64a0ea79eaf77db6120dff Mon Sep 17 00:00:00 2001
From: Dan Becker <danbecker@google.com>
Date: Mon, 8 Jan 2018 16:45:02 -0700
Subject: [PATCH 0252/1660] Change TensorFlow build to nightly

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 9b4a9d62..8cebd7cd 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -10,7 +10,7 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     # https://stackoverflow.com/a/46498173
     conda update -y conda && conda update -y python && \
     # Tensorflow
-    pip install tensorflow && \
+    pip install tf-nightly && \
     # Vowpal Rabbit
     #apt-get install -y libboost-program-options-dev zlib1g-dev libboost-python-dev && \
     #cd /usr/lib/x86_64-linux-gnu/ && rm -f libboost_python.a && rm -f libboost_python.so && \

From a3e8c5ad9b0fa62694b7eb08134e770c2ebe7940 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Tue, 9 Jan 2018 14:59:57 +1100
Subject: [PATCH 0253/1660] Removing RGF temporarily (GCC version issue)

---
 Dockerfile | 6 ------
 1 file changed, 6 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 9b4a9d62..48353096 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -181,12 +181,6 @@ RUN apt-get update && \
     conda install h5py && \
     # https://github.com/biopython/biopython
     pip install biopython && \
-    # Regularized Greedy Forests
-    cd /usr/local/src && wget https://github.com/fukatani/rgf_python/releases/download/0.2.0/rgf1.2.zip && \
-    unzip rgf1.2.zip && cd rgf1.2 && make && mv bin/rgf /usr/local/bin && \
-    cd /usr/local/src && git clone https://github.com/fukatani/rgf_python.git && \
-    cd rgf_python && sed -i 's/\/opt\/rgf1.2\/bin\/rgf/\/usr\/local\/bin\/rgf/' rgf/sklearn.py && \
-    python setup.py install && \
     # PUDB, for local debugging convenience
     pip install pudb && \
     # Imbalanced-learn

From b7594b18c44242d37f215a939a711d711467ebd5 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Tue, 9 Jan 2018 15:33:07 +1100
Subject: [PATCH 0254/1660] Add various NLP packages

---
 Dockerfile | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 1d9fbdcd..63d173fa 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -360,6 +360,9 @@ RUN pip install --upgrade mpld3 && \
     pip install scattertext && \
     pip install pykoko && \
     pip install featuretools && \
+    pip install wordsegment && \
+    pip install pyahocorasick && \
+    pip install wordbatch && \
     pip install emoji && \
     # Add Japanese morphological analysis engine
     pip install janome && \

From e91643e6a1d2e82044321a1fd47ffdc1bea1f1ef Mon Sep 17 00:00:00 2001
From: Mihir Garg <mihirgarg2012@yahoo.in>
Date: Tue, 9 Jan 2018 12:37:55 +0530
Subject: [PATCH 0255/1660] changes done

---
 Dockerfile | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index bffa7223..4e52e1a5 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -359,6 +359,8 @@ RUN pip install --upgrade mpld3 && \
     pip install google-cloud-bigquery && \
     pip install ortools && \
     pip install scattertext && \
+    # Pandas data reader
+    pip install pandas-datareader && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \
@@ -396,6 +398,5 @@ ENV MPLBACKEND "agg"
 RUN /bin/bash -c \
     "cd / && for p in $(ls /tmp/patches/*.patch); do echo '= Applying patch '\${p}; patch -p2 < \${p}; done"
     
-# Pandas data reader
-RUN pip install pandas-datareader
+
 

From 1a4f6515484c8a3dd3424a44fa494ddfabc682d9 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Wed, 10 Jan 2018 08:14:13 +1100
Subject: [PATCH 0256/1660] Build TensorFlow from source

---
 Dockerfile | 26 +++++++++++++++++---------
 1 file changed, 17 insertions(+), 9 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 63d173fa..020a9758 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -9,8 +9,6 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     apt-get update && apt-get install -y build-essential && \
     # https://stackoverflow.com/a/46498173
     conda update -y conda && conda update -y python && \
-    # Tensorflow
-    pip install tf-nightly && \
     # Vowpal Rabbit
     #apt-get install -y libboost-program-options-dev zlib1g-dev libboost-python-dev && \
     #cd /usr/lib/x86_64-linux-gnu/ && rm -f libboost_python.a && rm -f libboost_python.so && \
@@ -50,6 +48,22 @@ libxcb-render0 libxcb-shm0 netpbm poppler-data p7zip-full && \
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean
 
+# Tensorflow source build
+RUN apt-get install -y python-software-properties zip && \
+    echo "deb http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list &&     echo "deb-src http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list &&     apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys EEA14886 C857C906 2B90D010 && \
+    apt-get update && \
+    echo debconf shared/accepted-oracle-license-v1-1 select true | debconf-set-selections && \
+    echo debconf shared/accepted-oracle-license-v1-1 seen true | debconf-set-selections && \
+    apt-get install -y oracle-java8-installer && \
+    echo "deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8" | tee /etc/apt/sources.list.d/bazel.list && \
+    curl https://bazel.build/bazel-release.pub.gpg | apt-key add - && \
+    apt-get update && apt-get install -y bazel && apt-get upgrade -y bazel && \
+    cd /usr/local/src && git clone https://github.com/tensorflow/tensorflow && \
+    cd tensorflow && echo "\n" | ./configure && \
+    bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package && \
+    bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg && \
+    pip install /tmp/tensorflow_pkg/tensorflow*.whl
+
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
     # textblob
@@ -151,13 +165,7 @@ RUN apt-get update && \
     # MXNet
     pip install mxnet==0.11.0 && \
     # h2o
-    # This requires python-software-properties and Java.
-    apt-get install -y python-software-properties zip && \
-    echo "deb http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list &&     echo "deb-src http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list &&     apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys EEA14886 C857C906 2B90D010 && \
-    apt-get update && \
-    echo debconf shared/accepted-oracle-license-v1-1 select true | debconf-set-selections && \
-    echo debconf shared/accepted-oracle-license-v1-1 seen true | debconf-set-selections && \
-    apt-get install -y oracle-java8-installer && \
+    # This requires python-software-properties and Java, which were installed above.
     cd /usr/local/src && mkdir h2o && cd h2o && \
     wget http://h2o-release.s3.amazonaws.com/h2o/latest_stable -O latest && \
     wget --no-check-certificate -i latest -O h2o.zip && rm latest && \

From 72017a3bcde9c82526b3a2003148b7e91bef2af9 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Wed, 10 Jan 2018 10:53:01 +1100
Subject: [PATCH 0257/1660] Remove numpy version pin

skimage and pytables now seem to require numpy 1.12. The symptoms in the original issue https://github.com/Kaggle/docker-python/issues/103 seem to have gone away.
---
 Dockerfile | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index d1c68ffc..bf7feb59 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -387,11 +387,9 @@ RUN pip install --upgrade mpld3 && \
 # For Facets
 ENV PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/
 
-# Temporary fix for Anaconda linking error
-# See https://github.com/Kaggle/docker-python/issues/103
-RUN conda install -f -y numpy==1.13.0 && \
+# Temporary fixes and patches
     # Temporary patch for Dask getting downgraded, which breaks Keras
-    pip install --upgrade dask && \
+RUN pip install --upgrade dask && \
     # Temporary downgrade for Pandas to circumvent https://github.com/pandas-dev/pandas/issues/18186
     pip uninstall -y pandas && pip install pandas==0.20.3 && \
     # Stop jupyter nbconvert trying to rewrite its folder hierarchy

From a3e3384b2fa427cafd53e2d3ae8450bf4b75bd4b Mon Sep 17 00:00:00 2001
From: Douglas Ashton <douglas.j.ashton@gmail.com>
Date: Thu, 11 Jan 2018 11:36:44 +0000
Subject: [PATCH 0258/1660] Add wfdb to pip install

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index bf7feb59..a00f2a0e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -376,6 +376,7 @@ RUN pip install --upgrade mpld3 && \
     pip install emoji && \
     # Add Japanese morphological analysis engine
     pip install janome && \
+    pip install wfdb && \ # Read data from physionet
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From c589a6842fe3ce383e64e19594cb5c6fcbb19534 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Mon, 15 Jan 2018 15:44:36 +1100
Subject: [PATCH 0259/1660] Update build script

---
 build | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/build b/build
index fce4dd99..5174478f 100755
--- a/build
+++ b/build
@@ -4,10 +4,10 @@ set -e
 # Default behavior is to do everything from scratch.
 # The --use-cache option is useful if you're iterating on a broken build.
 if [[ "$1" ==  "--use-cache" ]]; then
-    docker build --rm --cpu-period=100000 --cpu-quota=200000 -t kaggle/python-build .
+    docker build --rm -t kaggle/python-build .
 else
     docker pull continuumio/anaconda3:latest
-    docker build --rm --no-cache --cpu-period=100000 --cpu-quota=200000 -t kaggle/python-build .
+    docker build --rm --no-cache -t kaggle/python-build .
 fi
 
 
@@ -26,5 +26,8 @@ docker run --rm -t --read-only --net=none -e HOME=/tmp -e KAGGLE_PROXY_TOKEN=tes
 # The test_build.py script creates a plot called plot1.png; check that it exists
 [ -s /tmp/python-build/working/plot1.png ] || exit 1
 
+docker tag kaggle/python-build gcr.io/kaggle-images/python
+gcloud docker -- push gcr.io/kaggle-images/python
+
 docker tag kaggle/python-build:latest kaggle/python:latest
 docker push kaggle/python:latest

From 62ac46b153bb79508923f1c70b4ec67b364115db Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Mon, 15 Jan 2018 15:45:57 +1100
Subject: [PATCH 0260/1660] Update to Anaconda5, remove numpy pin

---
 Dockerfile | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index bf7feb59..6e4c264f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,4 +1,4 @@
-FROM continuumio/anaconda3:4.4.0
+FROM continuumio/anaconda3:5.0.1
 
 ADD patches/ /tmp/patches/
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
@@ -137,6 +137,9 @@ vader_lexicon verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe && \
     apt-get autoremove -y && apt-get clean && \
     rm -rf /usr/local/src/*
 
+# Make sure the dynamic linker finds the right libstdc++
+ENV LD_LIBRARY_PATH=/opt/conda/lib
+
 RUN apt-get update && \
     # Libgeos, for mapping libraries
     apt-get -y install libgeos-dev && \
@@ -379,13 +382,13 @@ RUN pip install --upgrade mpld3 && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \
-    # https://github.com/ContinuumIO/anaconda-issues/issues/720
-    conda install -f -y numpy && \
     # Required to display Altair charts in Jupyter notebook
     jupyter nbextension install --user --py vega
 
 # For Facets
 ENV PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/
+# For Theano with MKL
+ENV MKL_THREADING_LAYER=GNU
 
 # Temporary fixes and patches
     # Temporary patch for Dask getting downgraded, which breaks Keras

From 47b15de8d0500ac91e0c661a6e02bbc8fb9a69ee Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Mon, 15 Jan 2018 15:46:44 +1100
Subject: [PATCH 0261/1660] Add wordbatch and pyfasttext to tests

---
 test_build.py | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/test_build.py b/test_build.py
index 4b0415c8..5af53776 100644
--- a/test_build.py
+++ b/test_build.py
@@ -71,6 +71,12 @@
 from skimage.io import imread
 print("skimage ok")
 
+from wordbatch.extractors import WordBag
+print("wordbatch ok")
+
+import pyfasttext
+print("pyfasttext ok")
+
 import os
 import threading
 from http.server import BaseHTTPRequestHandler, HTTPServer

From c79fa24aa8a183e24794325ea7f194f54b5d60c9 Mon Sep 17 00:00:00 2001
From: Aurelio Agundez <aurelio@agundez.com>
Date: Wed, 17 Jan 2018 08:51:36 -0800
Subject: [PATCH 0262/1660] Suppress exception in call to
 `AnonymousCredentials.refresh` with NOP

---
 patches/sitecustomize.py | 10 ++++++----
 1 file changed, 6 insertions(+), 4 deletions(-)

diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index 42dad46a..6293a3b2 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -1,18 +1,20 @@
 # Monkey patches BigQuery client creation to use proxy.
 import os
 
-kaggle_proxy_token = os.getenv("KAGGLE_PROXY_TOKEN")
+kaggle_proxy_token = os.getenv("KAGGLE_DATA_PROXY_TOKEN")
 if kaggle_proxy_token:
     from google.auth import credentials
     from google.cloud import bigquery
     from google.cloud.bigquery._http import Connection
 
-    Connection.API_BASE_URL = os.getenv("KAGGLE_PROXY_URL")
+    Connection.API_BASE_URL = os.getenv("KAGGLE_DATA_PROXY_URL")
     Connection._EXTRA_HEADERS["X-KAGGLE-PROXY-DATA"] = kaggle_proxy_token
 
     bq_client = bigquery.Client
     bigquery.Client = lambda *args, **kwargs: bq_client(
         *args,
         credentials=credentials.AnonymousCredentials(),
-        project=os.getenv("KAGGLE_PROXY_PROJECT"),
-        **kwargs)
\ No newline at end of file
+        project=os.getenv("KAGGLE_DATA_PROXY_PROJECT"),
+        **kwargs)
+
+    credentials.AnonymousCredentials.refresh = lambda *args: None

From a4683b348be0bb48c37a6ea69d2bad44ff732421 Mon Sep 17 00:00:00 2001
From: Aurelio Agundez <aurelio@agundez.com>
Date: Wed, 17 Jan 2018 10:41:34 -0800
Subject: [PATCH 0263/1660] Fix env vars for BQ client test

---
 build | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/build b/build
index 5174478f..781e96d6 100755
--- a/build
+++ b/build
@@ -21,7 +21,7 @@ mkdir -p /tmp/python-build/working
 docker run -d --name=jupyter_test --read-only --net=none -e HOME=/tmp -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build jupyter notebook --allow-root --ip="*"
 sleep 3
 docker kill jupyter_test && docker rm jupyter_test
-docker run --rm -t --read-only --net=none -e HOME=/tmp -e KAGGLE_PROXY_TOKEN=test-key -e KAGGLE_PROXY_URL=http://127.0.0.1:8000 -e KAGGLE_PROXY_PROJECT=test -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build /bin/bash -c 'python /input/test_build.py'
+docker run --rm -t --read-only --net=none -e HOME=/tmp -e KAGGLE_DATA_PROXY_TOKEN=test-key -e KAGGLE_DATA_PROXY_URL=http://127.0.0.1:8000 -e KAGGLE_DATA_PROXY_PROJECT=test -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build /bin/bash -c 'python /input/test_build.py'
 
 # The test_build.py script creates a plot called plot1.png; check that it exists
 [ -s /tmp/python-build/working/plot1.png ] || exit 1

From 1d025228bd563e2703d6e23bfcdf6627456faa7c Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Mon, 22 Jan 2018 08:59:00 +1100
Subject: [PATCH 0264/1660] Add fasttext

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index c5e853af..ca40d48d 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -364,6 +364,7 @@ RUN pip install --upgrade mpld3 && \
     pip install lime && \
     pip install memory_profiler && \
     pip install pyfasttext && \
+    cd /usr/local/src && git clone --depth=1 https://github.com/facebookresearch/fastText.git && cd fastText && pip install . && \
     pip install annoy && \
     pip install category_encoders && \
     pip install google-cloud-bigquery && \

From 49d830d8b6f01b35cb68adcf4418a06a919761db Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Mon, 22 Jan 2018 09:08:36 +1100
Subject: [PATCH 0265/1660] Add hunspell, vecstack, lightning

---
 Dockerfile | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index ca40d48d..62134119 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -365,6 +365,7 @@ RUN pip install --upgrade mpld3 && \
     pip install memory_profiler && \
     pip install pyfasttext && \
     cd /usr/local/src && git clone --depth=1 https://github.com/facebookresearch/fastText.git && cd fastText && pip install . && \
+    apt-get install -y libhunspell-dev && pip install hunspell && \
     pip install annoy && \
     pip install category_encoders && \
     pip install google-cloud-bigquery && \
@@ -381,6 +382,8 @@ RUN pip install --upgrade mpld3 && \
     # Add Japanese morphological analysis engine
     pip install janome && \
     pip install wfdb && \ # Read data from physionet
+    pip install vecstack && \
+    pip install sklearn-contrib-lightning && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 0244bd34474f225b084cebcbf87e6911f170da54 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Mon, 22 Jan 2018 09:10:45 +1100
Subject: [PATCH 0266/1660] Update Dockerfile syntax

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 62134119..bb71ab7e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -381,7 +381,7 @@ RUN pip install --upgrade mpld3 && \
     pip install emoji && \
     # Add Japanese morphological analysis engine
     pip install janome && \
-    pip install wfdb && \ # Read data from physionet
+    pip install wfdb && \
     pip install vecstack && \
     pip install sklearn-contrib-lightning && \
     ##### ^^^^ Add new contributions above here

From a35d17689dc40715a094c5b8742b4d8f56d18277 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Tue, 23 Jan 2018 08:05:54 +1100
Subject: [PATCH 0267/1660] Update TensorFlow to 1.5rc1

---
 Dockerfile | 27 +++++++++------------------
 1 file changed, 9 insertions(+), 18 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index bb71ab7e..5d57bc57 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -48,23 +48,8 @@ libxcb-render0 libxcb-shm0 netpbm poppler-data p7zip-full && \
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean
 
-# Tensorflow source build
-RUN apt-get install -y python-software-properties zip && \
-    echo "deb http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list &&     echo "deb-src http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list &&     apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys EEA14886 C857C906 2B90D010 && \
-    apt-get update && \
-    echo debconf shared/accepted-oracle-license-v1-1 select true | debconf-set-selections && \
-    echo debconf shared/accepted-oracle-license-v1-1 seen true | debconf-set-selections && \
-    apt-get install -y oracle-java8-installer && \
-    echo "deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8" | tee /etc/apt/sources.list.d/bazel.list && \
-    curl https://bazel.build/bazel-release.pub.gpg | apt-key add - && \
-    apt-get update && apt-get install -y bazel && apt-get upgrade -y bazel && \
-    cd /usr/local/src && git clone https://github.com/tensorflow/tensorflow && \
-    cd tensorflow && echo "\n" | ./configure && \
-    bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package && \
-    bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg && \
-    pip install /tmp/tensorflow_pkg/tensorflow*.whl
-
-RUN apt-get install -y libfreetype6-dev && \
+RUN pip install tensorflow==1.5.0-rc1 && \
+    apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
     # textblob
     pip install textblob && \
@@ -167,8 +152,14 @@ RUN apt-get update && \
     cd cartopy && python setup.py install && \
     # MXNet
     pip install mxnet==0.11.0 && \
+    apt-get install -y python-software-properties zip && \
+    echo "deb http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list &&     echo "deb-src http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list &&     apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys EEA14886 C857C906 2B90D010 && \
+    apt-get update && \
+    echo debconf shared/accepted-oracle-license-v1-1 select true | debconf-set-selections && \
+    echo debconf shared/accepted-oracle-license-v1-1 seen true | debconf-set-selections && \
+    apt-get install -y oracle-java8-installer && \
     # h2o
-    # This requires python-software-properties and Java, which were installed above.
+    # This requires python-software-properties and Java.
     cd /usr/local/src && mkdir h2o && cd h2o && \
     wget http://h2o-release.s3.amazonaws.com/h2o/latest_stable -O latest && \
     wget --no-check-certificate -i latest -O h2o.zip && rm latest && \

From b88a88604d2bf33ef5f81c9cbb58f89026a4d070 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Tue, 23 Jan 2018 08:07:08 +1100
Subject: [PATCH 0268/1660] Update build tests

---
 test_build.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/test_build.py b/test_build.py
index 5af53776..68b176d6 100644
--- a/test_build.py
+++ b/test_build.py
@@ -77,6 +77,9 @@
 import pyfasttext
 print("pyfasttext ok")
 
+import fastText
+print("fastText ok")
+
 import os
 import threading
 from http.server import BaseHTTPRequestHandler, HTTPServer

From 7dedfe696699ff1d1e4f8369d276a3c47cef10db Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Tue, 23 Jan 2018 09:13:02 +1100
Subject: [PATCH 0269/1660] Revert "Update TensorFlow to 1.5rc1"

This reverts commit a35d17689dc40715a094c5b8742b4d8f56d18277.
---
 Dockerfile | 27 ++++++++++++++++++---------
 1 file changed, 18 insertions(+), 9 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 5d57bc57..bb71ab7e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -48,8 +48,23 @@ libxcb-render0 libxcb-shm0 netpbm poppler-data p7zip-full && \
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean
 
-RUN pip install tensorflow==1.5.0-rc1 && \
-    apt-get install -y libfreetype6-dev && \
+# Tensorflow source build
+RUN apt-get install -y python-software-properties zip && \
+    echo "deb http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list &&     echo "deb-src http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list &&     apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys EEA14886 C857C906 2B90D010 && \
+    apt-get update && \
+    echo debconf shared/accepted-oracle-license-v1-1 select true | debconf-set-selections && \
+    echo debconf shared/accepted-oracle-license-v1-1 seen true | debconf-set-selections && \
+    apt-get install -y oracle-java8-installer && \
+    echo "deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8" | tee /etc/apt/sources.list.d/bazel.list && \
+    curl https://bazel.build/bazel-release.pub.gpg | apt-key add - && \
+    apt-get update && apt-get install -y bazel && apt-get upgrade -y bazel && \
+    cd /usr/local/src && git clone https://github.com/tensorflow/tensorflow && \
+    cd tensorflow && echo "\n" | ./configure && \
+    bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package && \
+    bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg && \
+    pip install /tmp/tensorflow_pkg/tensorflow*.whl
+
+RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
     # textblob
     pip install textblob && \
@@ -152,14 +167,8 @@ RUN apt-get update && \
     cd cartopy && python setup.py install && \
     # MXNet
     pip install mxnet==0.11.0 && \
-    apt-get install -y python-software-properties zip && \
-    echo "deb http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list &&     echo "deb-src http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list &&     apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys EEA14886 C857C906 2B90D010 && \
-    apt-get update && \
-    echo debconf shared/accepted-oracle-license-v1-1 select true | debconf-set-selections && \
-    echo debconf shared/accepted-oracle-license-v1-1 seen true | debconf-set-selections && \
-    apt-get install -y oracle-java8-installer && \
     # h2o
-    # This requires python-software-properties and Java.
+    # This requires python-software-properties and Java, which were installed above.
     cd /usr/local/src && mkdir h2o && cd h2o && \
     wget http://h2o-release.s3.amazonaws.com/h2o/latest_stable -O latest && \
     wget --no-check-certificate -i latest -O h2o.zip && rm latest && \

From 369cd4dee455206805cb83d9b341c97e1713eca7 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Tue, 23 Jan 2018 11:06:05 +1100
Subject: [PATCH 0270/1660] Drop unfortunately-named rarely-used package

---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index bb71ab7e..2ccd8723 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -254,7 +254,6 @@ RUN pip install --upgrade mpld3 && \
     pip install preprocessing && \
     pip install Baker && \
     pip install path.py && \
-    pip install sexmachine  && \
     pip install Geohash && \
     # https://github.com/vinsci/geohash/issues/4
     sed -i -- 's/geohash/.geohash/g' /opt/conda/lib/python3.6/site-packages/Geohash/__init__.py && \

From b4f19de1f295cb92476a79f99c3462a3438fe019 Mon Sep 17 00:00:00 2001
From: Danielsen <nathan.danielsen@gmail.com>
Date: Tue, 23 Jan 2018 11:34:01 -0500
Subject: [PATCH 0271/1660] add yellowbrick to dockerfile

---
 Dockerfile | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 2ccd8723..c39f6f5f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -383,6 +383,8 @@ RUN pip install --upgrade mpld3 && \
     pip install wfdb && \
     pip install vecstack && \
     pip install sklearn-contrib-lightning && \
+    # yellowbrick machine learning visualization library
+    pip install yellowbrick && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \
@@ -417,6 +419,3 @@ ENV MPLBACKEND "agg"
 # Finally, apply any locally defined patches.
 RUN /bin/bash -c \
     "cd / && for p in $(ls /tmp/patches/*.patch); do echo '= Applying patch '\${p}; patch -p2 < \${p}; done"
-    
-
-

From 430cb31cbb2b3adb413d8d572e5888499eee7580 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Thu, 25 Jan 2018 13:16:44 +1100
Subject: [PATCH 0272/1660] Test for MKL linkage

---
 test_build.py | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/test_build.py b/test_build.py
index 68b176d6..604c7e28 100644
--- a/test_build.py
+++ b/test_build.py
@@ -6,6 +6,12 @@
 print("Numpy imported ok")
 print("Your lucky number is: " + str(np.random.randint(100)))
 
+# Numpy must be linked to the MKL. (Occasionally, a third-party package will muck up the installation
+# and numpy will be reinstalled with an OpenBLAS backing.)
+from numpy.distutils.system_info import get_info
+# This will throw an exception if the MKL is not linked correctly.
+get_info("blas_mkl")
+
 import pandas as pd
 print("Pandas imported ok")
 

From a7e8dd82bf52e809ee62d2a4463fdb4a7df7e377 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Thu, 25 Jan 2018 13:17:46 +1100
Subject: [PATCH 0273/1660] Remove featuretools

https://github.com/Kaggle/docker-python/pull/154#issuecomment-360323457
---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 2ccd8723..f5d27f21 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -373,7 +373,6 @@ RUN pip install --upgrade mpld3 && \
     # Pandas data reader
     pip install pandas-datareader && \
     pip install pykoko && \
-    pip install featuretools && \
     pip install wordsegment && \
     pip install pyahocorasick && \
     pip install wordbatch && \

From efbc01e8a5ace1b25f87ba45af1ca1684d422cae Mon Sep 17 00:00:00 2001
From: Konstantin Lopuhin <kostia.lopuhin@gmail.com>
Date: Wed, 24 Jan 2018 09:42:11 +0300
Subject: [PATCH 0274/1660] Unpin mxnet version

This unpins mxnet version. It was build from source before, and then moved to pip install in 6c4cac180ced8b0712e3cd3b34adac19f6daaa46.
---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index f5d27f21..f3d45682 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -166,7 +166,7 @@ RUN apt-get update && \
     cd /usr/local/src && git clone https://github.com/SciTools/cartopy.git && \
     cd cartopy && python setup.py install && \
     # MXNet
-    pip install mxnet==0.11.0 && \
+    pip install mxnet && \
     # h2o
     # This requires python-software-properties and Java, which were installed above.
     cd /usr/local/src && mkdir h2o && cd h2o && \

From ea34e64b365d454ead5e2af29eb05b91a8b2b15e Mon Sep 17 00:00:00 2001
From: Konstantin Lopuhin <kostia.lopuhin@gmail.com>
Date: Thu, 25 Jan 2018 22:41:25 +0300
Subject: [PATCH 0275/1660] Add mxnet and mxnet.gluon tests

---
 test_build.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/test_build.py b/test_build.py
index 604c7e28..645f5488 100644
--- a/test_build.py
+++ b/test_build.py
@@ -86,6 +86,10 @@
 import fastText
 print("fastText ok")
 
+import mxnet
+import mxnet.gluon
+print("mxnet ok")
+
 import os
 import threading
 from http.server import BaseHTTPRequestHandler, HTTPServer

From e0095d44a4a6bf5eee7dd7e53a63295795811832 Mon Sep 17 00:00:00 2001
From: Collin Donahue-Oponski <collindo@gmail.com>
Date: Fri, 26 Jan 2018 09:21:32 -0700
Subject: [PATCH 0276/1660] =?UTF-8?q?`conda=20install=20pytorch=20-c=20sou?=
 =?UTF-8?q?mith`=20=E2=80=94>=20`-c=20pytorch`?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index f5d27f21..5575a1c0 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -221,7 +221,7 @@ RUN apt-get update && \
     #./waf configure --mode=release --build-static --with-python --with-cpptests --with-examples --with-vamp && \
     #./waf && ./waf install && mv /usr/local/lib/python3.6/site-packages/essentia /opt/conda/lib/python3.6 && \
     # PyTorch
-    conda install -y pytorch torchvision -c soumith && \
+    conda install -y pytorch torchvision -c pytorch && \
     # PyTorch Audio
     apt-get install -y sox libsox-dev libsox-fmt-all && \
     pip install cffi && \

From b1886270816088e35f303c905f70e3fa95efa177 Mon Sep 17 00:00:00 2001
From: Kevin Mader <kmader@users.noreply.github.com>
Date: Mon, 29 Jan 2018 16:49:33 +0100
Subject: [PATCH 0277/1660] Adding Keras RCNN

adding code to install Keras RCNN (https://github.com/Kaggle/docker-python/issues/172)
---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 7c36beb3..414eeddf 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -89,6 +89,8 @@ RUN apt-get install -y libfreetype6-dev && \
     cd /usr/local/src && mkdir keras-rl && cd keras-rl && \
     git clone --depth 1 https://github.com/matthiasplappert/keras-rl.git && \
     cd keras-rl && python setup.py install && \
+    #keras-rcnn
+    pip install git+https://github.com/broadinstitute/keras-rcnn && \
     #neon
     cd /usr/local/src && \
     git clone --depth 1 https://github.com/NervanaSystems/neon.git && \

From d6f58e133f060999a492ef9c943997bfa6e8b958 Mon Sep 17 00:00:00 2001
From: Mikel Bober-Irizar <mikel@mxbi.net>
Date: Tue, 30 Jan 2018 21:16:25 +0000
Subject: [PATCH 0278/1660] Add mlcrate

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 7c36beb3..79244728 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -384,6 +384,7 @@ RUN pip install --upgrade mpld3 && \
     pip install sklearn-contrib-lightning && \
     # yellowbrick machine learning visualization library
     pip install yellowbrick && \
+    pip install mlcrate && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \

From 95d0ce189c2a75601cac02103c57259be0d7d8a3 Mon Sep 17 00:00:00 2001
From: Paul Mooney <30876065+paultimothymooney@users.noreply.github.com>
Date: Wed, 31 Jan 2018 22:46:46 -0700
Subject: [PATCH 0279/1660] pip install rf_perm_feat_import

This class implements the permutation importance metric for random forests
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 7c36beb3..f036a3bd 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -250,6 +250,7 @@ RUN pip install --upgrade mpld3 && \
     pip install nibabel && \
     pip install pronouncing && \
     pip install markovify && \
+    pip install rf_perm_feat_import && \
     pip install imgaug && \
     pip install preprocessing && \
     pip install Baker && \

From 112057fdbc8ef76a5a876c73b7e6ee7967dcf44d Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Fri, 2 Feb 2018 10:37:53 +1100
Subject: [PATCH 0280/1660] Add flashtext, move contribs to new layer

---
 Dockerfile | 22 ++++++++++++++--------
 1 file changed, 14 insertions(+), 8 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 4636173d..28f635c6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -236,13 +236,6 @@ RUN apt-get update && \
     conda clean -i -l -t -y && \
     rm -rf /usr/local/src/*
 
-    ###########
-    #
-    #      NEW CONTRIBUTORS:
-    # Please add new pip/apt installs in this block. Don't forget a "&& \" at the end
-    # of all non-final lines. Thanks!
-    #
-    ###########
 RUN pip install --upgrade mpld3 && \
     pip install mplleaflet && \
     pip install gpxpy && \
@@ -388,12 +381,25 @@ RUN pip install --upgrade mpld3 && \
     # yellowbrick machine learning visualization library
     pip install yellowbrick && \
     pip install mlcrate && \
-    ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \
     # Required to display Altair charts in Jupyter notebook
     jupyter nbextension install --user --py vega
 
+
+    ###########
+    #
+    #      NEW CONTRIBUTORS:
+    # Please add new pip/apt installs in this block. Don't forget a "&& \" at the end
+    # of all non-final lines. Thanks!
+    #
+    ###########
+RUN pip install flashtext && \
+    ##### ^^^^ Add new contributions above here
+    # clean up pip cache
+    rm -rf /root/.cache/pip/*
+
+
 # For Facets
 ENV PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/
 # For Theano with MKL

From 8cad7e4b4e683cba452e1d0940e686b54450b473 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Fri, 2 Feb 2018 10:38:19 +1100
Subject: [PATCH 0281/1660] Add marisa-trie

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 28f635c6..700571ec 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -395,6 +395,7 @@ RUN pip install --upgrade mpld3 && \
     #
     ###########
 RUN pip install flashtext && \
+    pip install marisa-trie && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/*

From 176135896a715a55f8646b718efed5aee64f8101 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Fri, 2 Feb 2018 10:39:04 +1100
Subject: [PATCH 0282/1660] Add pyemd

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 700571ec..f5780f3b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -396,6 +396,7 @@ RUN pip install --upgrade mpld3 && \
     ###########
 RUN pip install flashtext && \
     pip install marisa-trie && \
+    pip install pyemd && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/*

From 5a2649de5a3418d9b4eb86d9c7171591319cdf75 Mon Sep 17 00:00:00 2001
From: Sohier Dane <sohier.dane@gmail.com>
Date: Thu, 1 Feb 2018 16:38:23 -0800
Subject: [PATCH 0283/1660] Update Dockerfile

Added pip install for BigQuery_Helper: https://github.com/SohierDane/BigQuery_Helper
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index f5780f3b..0a601d92 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -397,6 +397,7 @@ RUN pip install --upgrade mpld3 && \
 RUN pip install flashtext && \
     pip install marisa-trie && \
     pip install pyemd && \
+    pip install -e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/*

From 796d7ea352782b531c1285b4a7b83edec45711b4 Mon Sep 17 00:00:00 2001
From: steadyfish <dhrumins68@gmail.com>
Date: Sat, 3 Feb 2018 17:19:24 -0500
Subject: [PATCH 0284/1660] Added pyupset package

Reference: https://pypi.python.org/pypi/pyupset/0.1.1.post1
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 0a601d92..8ba83709 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -397,6 +397,7 @@ RUN pip install --upgrade mpld3 && \
 RUN pip install flashtext && \
     pip install marisa-trie && \
     pip install pyemd && \
+    pip install pyupset && \
     pip install -e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache

From 44ff0c2eb39546c3ddc73bb008b86c7353ae8672 Mon Sep 17 00:00:00 2001
From: Dan Becker <dan@kaggle.com>
Date: Sat, 3 Feb 2018 17:42:02 -0700
Subject: [PATCH 0285/1660] Add ktext for fast text processing with Keras

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 0a601d92..51c8a3a1 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -359,6 +359,7 @@ RUN pip install --upgrade mpld3 && \
     pip install lime && \
     pip install memory_profiler && \
     pip install pyfasttext && \
+    pip install ktext && \
     cd /usr/local/src && git clone --depth=1 https://github.com/facebookresearch/fastText.git && cd fastText && pip install . && \
     apt-get install -y libhunspell-dev && pip install hunspell && \
     pip install annoy && \

From a3eb1c4a0791c17c394dc7c1d951477ae0d39e14 Mon Sep 17 00:00:00 2001
From: Kevin Mader <kmader@users.noreply.github.com>
Date: Mon, 5 Feb 2018 09:30:13 +0100
Subject: [PATCH 0286/1660] Update Dockerfile

adding scikit-optimize dependency for more intelligent parameter and hyperparameter optimization
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 05407e96..173ce41e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -255,6 +255,7 @@ RUN pip install --upgrade mpld3 && \
     sed -i -- 's/geohash/.geohash/g' /opt/conda/lib/python3.6/site-packages/Geohash/__init__.py && \
     pip install deap && \
     pip install tpot && \
+    pip install scikit-optimize && \
     pip install haversine && \
     pip install toolz cytoolz && \
     pip install sacred && \

From 4b6a795408422b97159c54d82d27df16a5318822 Mon Sep 17 00:00:00 2001
From: Bri-Will <briwill@yahoo.com>
Date: Mon, 5 Feb 2018 09:25:09 -0800
Subject: [PATCH 0287/1660] Add support for hyperopt-sklearn

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 05407e96..cce66d1e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -400,6 +400,7 @@ RUN pip install flashtext && \
     pip install pyemd && \
     pip install pyupset && \
     pip install -e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper && \
+    cd /usr/local/src && git clone https://github.com/hyperopt/hyperopt-sklearn.git && cd hyperopt-sklearn && pip install -e . && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/*

From b3c6992d2aa5bfd1318e13b8c787bc99a7acc739 Mon Sep 17 00:00:00 2001
From: Ahmed BESBES <ahmed.besbes@hotmail.com>
Date: Wed, 7 Feb 2018 18:18:14 +0100
Subject: [PATCH 0288/1660] Update Dockerfile

adding keras-tqdm
---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 05407e96..406e9e71 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -91,6 +91,8 @@ RUN apt-get install -y libfreetype6-dev && \
     cd keras-rl && python setup.py install && \
     #keras-rcnn
     pip install git+https://github.com/broadinstitute/keras-rcnn && \
+    #keras-tqdm
+    pip install keras-tqdm
     #neon
     cd /usr/local/src && \
     git clone --depth 1 https://github.com/NervanaSystems/neon.git && \

From a071c8c027412ee89c7beab413ba3ce1d27f454b Mon Sep 17 00:00:00 2001
From: Seth Rothschild <seth.j.rothschild@gmail.com>
Date: Tue, 27 Feb 2018 12:05:31 -0500
Subject: [PATCH 0289/1660] pip install featuretools

---
 Dockerfile | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 05407e96..f9b36739 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -399,6 +399,9 @@ RUN pip install flashtext && \
     pip install marisa-trie && \
     pip install pyemd && \
     pip install pyupset && \
+    pip install pympler && \
+    pip install s3fs && \
+    pip install featuretools && \
     pip install -e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache

From 0073be5fff856a3ac939f53381d8a1897bd8549c Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Fri, 9 Mar 2018 10:03:26 +1100
Subject: [PATCH 0290/1660] Add bokeh and seaborn to build test

---
 test_build.py | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/test_build.py b/test_build.py
index 645f5488..0c143924 100644
--- a/test_build.py
+++ b/test_build.py
@@ -90,6 +90,12 @@
 import mxnet.gluon
 print("mxnet ok")
 
+import bokeh
+print("bokeh ok")
+
+import seaborn
+print("seaborn ok")
+
 import os
 import threading
 from http.server import BaseHTTPRequestHandler, HTTPServer

From 5677cbed54db0eb22de7fdf872978a51260d2fe6 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Fri, 9 Mar 2018 11:09:40 +1100
Subject: [PATCH 0291/1660] Upgrade scipy; fix fast.ai installation

---
 Dockerfile | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 173ce41e..78693c81 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -14,6 +14,8 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     #cd /usr/lib/x86_64-linux-gnu/ && rm -f libboost_python.a && rm -f libboost_python.so && \
     #ln -sf libboost_python-py34.so libboost_python.so && ln -sf libboost_python-py34.a libboost_python.a && \
     #pip install vowpalwabbit && \
+    # Anaconda's scipy is currently behind the main release (1.0)
+    pip install scipy --upgrade && \
     pip install seaborn python-dateutil dask pytagcloud pyyaml joblib \
     husl geopy ml_metrics mne pyshp gensim && \
     conda install -y -c conda-forge spacy && python -m spacy download en && \
@@ -350,7 +352,6 @@ RUN pip install --upgrade mpld3 && \
     pip install pydash && \
     pip install kmodes && \
     pip install librosa && \
-    pip install fastai && \
     pip install polyglot && \
     pip install mmh3 && \
     pip install fbpca && \
@@ -383,6 +384,10 @@ RUN pip install --upgrade mpld3 && \
     # yellowbrick machine learning visualization library
     pip install yellowbrick && \
     pip install mlcrate && \
+    pip install opencv-python && \
+    pip install pyarrow && \
+    cd /usr/local/src && git clone --depth=1 https://github.com/fastai/fastai && \
+    cd fastai && python setup.py install && \
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \
     # Required to display Altair charts in Jupyter notebook

From 20adb40cea0928ff68c860efb2f295bccbcf9ae5 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Fri, 9 Mar 2018 12:08:21 +1100
Subject: [PATCH 0292/1660] Workaround for PyTorch issue 2575

---
 patches/sitecustomize.py |  4 ++++
 test_build.py            | 14 ++++++++++++++
 2 files changed, 18 insertions(+)

diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index 6293a3b2..9c6f566a 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -1,4 +1,8 @@
 # Monkey patches BigQuery client creation to use proxy.
+
+# Import torch before anything else. This is a hacky workaround to an error on dlopen
+# reporting a limit on static TLS, tracked in https://github.com/pytorch/pytorch/issues/2575
+import torch
 import os
 
 kaggle_proxy_token = os.getenv("KAGGLE_DATA_PROXY_TOKEN")
diff --git a/test_build.py b/test_build.py
index 0c143924..bc70c2b0 100644
--- a/test_build.py
+++ b/test_build.py
@@ -96,6 +96,20 @@
 import seaborn
 print("seaborn ok")
 
+# PyTorch smoke test based on http://pytorch.org/tutorials/beginner/nlp/deep_learning_tutorial.html
+import torch
+import torch.nn as tnn
+import torch.autograd as autograd
+torch.manual_seed(31337)
+linear_torch = tnn.Linear(5,3)
+data_torch = autograd.Variable(torch.randn(2, 5))
+print(linear_torch(data_torch))
+print("PyTorch ok")
+
+import fastai
+from fastai.io import get_data
+print("fast.ai ok")
+
 import os
 import threading
 from http.server import BaseHTTPRequestHandler, HTTPServer

From 29ff16c231420c71252eaaab0a6b635ec6f0a59f Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamie1212@gmail.com>
Date: Fri, 9 Mar 2018 13:14:31 +1100
Subject: [PATCH 0293/1660] Fix wordcloud installation

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 78693c81..f2d32bf4 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -71,7 +71,7 @@ RUN apt-get install -y libfreetype6-dev && \
     # textblob
     pip install textblob && \
     #word cloud
-    conda install -y -c https://conda.anaconda.org/amueller wordcloud && \
+    pip install wordcloud && \
     #igraph
     conda install -y -c conda-forge python-igraph && \
     #xgboost

From bf366b63c0ca146fcdb18b8b8e61e8b58cf05e73 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Fri, 9 Mar 2018 13:35:53 +1100
Subject: [PATCH 0294/1660] Upgrade conda numpy to match pip

---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index f2d32bf4..6e1d6229 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -172,6 +172,8 @@ RUN apt-get update && \
     # MXNet
     pip install mxnet && \
     # h2o
+    # Temporary sync of conda's numpy with pip's, needed to avoid an install error
+    conda upgrade -y numpy && \
     # This requires python-software-properties and Java, which were installed above.
     cd /usr/local/src && mkdir h2o && cd h2o && \
     wget http://h2o-release.s3.amazonaws.com/h2o/latest_stable -O latest && \

From 0820a9e2305f45d1c548e85e322ac3c815995dfa Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Fri, 9 Mar 2018 18:58:57 +1100
Subject: [PATCH 0295/1660] Remove pandas downgrade

---
 Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 6e1d6229..6c871131 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -388,6 +388,8 @@ RUN pip install --upgrade mpld3 && \
     pip install mlcrate && \
     pip install opencv-python && \
     pip install pyarrow && \
+    # Ensure we have pandas >= 0.21
+    pip install --upgrade pandas && \
     cd /usr/local/src && git clone --depth=1 https://github.com/fastai/fastai && \
     cd fastai && python setup.py install && \
     # clean up pip cache
@@ -421,8 +423,6 @@ ENV MKL_THREADING_LAYER=GNU
 # Temporary fixes and patches
     # Temporary patch for Dask getting downgraded, which breaks Keras
 RUN pip install --upgrade dask && \
-    # Temporary downgrade for Pandas to circumvent https://github.com/pandas-dev/pandas/issues/18186
-    pip uninstall -y pandas && pip install pandas==0.20.3 && \
     # Stop jupyter nbconvert trying to rewrite its folder hierarchy
     mkdir -p /root/.jupyter && touch /root/.jupyter/jupyter_nbconvert_config.py && touch /root/.jupyter/migrated && \
     mkdir -p /.jupyter && touch /.jupyter/jupyter_nbconvert_config.py && touch /.jupyter/migrated && \

From 5e484cc92b3b8bd93565897d9fb9964918323935 Mon Sep 17 00:00:00 2001
From: Jamie Hall <jamiehall@google.com>
Date: Fri, 9 Mar 2018 19:09:09 +1100
Subject: [PATCH 0296/1660] Move fastai to separate build stage

---
 Dockerfile | 67 +++++++++++++++++++++++++++++++++++++++++++++++++-----
 1 file changed, 61 insertions(+), 6 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 6c871131..f14ded06 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -386,18 +386,73 @@ RUN pip install --upgrade mpld3 && \
     # yellowbrick machine learning visualization library
     pip install yellowbrick && \
     pip install mlcrate && \
+    # clean up pip cache
+    rm -rf /root/.cache/pip/* && \
+    # Required to display Altair charts in Jupyter notebook
+    jupyter nbextension install --user --py vega
+
+# Fast.ai and dependencies
+RUN pip install bcolz && \
+    pip install bleach && \
+    pip install certifi && \
+    pip install cycler && \
+    pip install decorator && \
+    pip install entrypoints && \
+    pip install html5lib && \
+    pip install ipykernel && \
+    pip install ipython && \
+    pip install ipython-genutils && \
+    pip install ipywidgets && \
+    pip install isoweek && \
+    pip install jedi && \
+    pip install Jinja2 && \
+    pip install jsonschema && \
+    pip install jupyter && \
+    pip install jupyter-client && \
+    pip install jupyter-console && \
+    pip install jupyter-core && \
+    pip install MarkupSafe && \
+    pip install matplotlib && \
+    pip install mistune && \
+    pip install nbconvert && \
+    pip install nbformat && \
+    pip install notebook && \
+    pip install numpy && \
+    pip install olefile && \
     pip install opencv-python && \
-    pip install pyarrow && \
-    # Ensure we have pandas >= 0.21
     pip install --upgrade pandas && \
+    pip install pandas_summary && \
+    pip install pandocfilters && \
+    pip install pexpect && \
+    pip install pickleshare && \
+    pip install Pillow && \
+    pip install prompt-toolkit && \
+    pip install ptyprocess && \
+    pip install Pygments && \
+    pip install pyparsing && \
+    pip install python-dateutil && \
+    pip install pytz && \
+    pip install PyYAML && \
+    pip install pyzmq && \
+    pip install qtconsole && \
+    pip install scipy && \
+    pip install seaborn && \
+    pip install simplegeneric && \
+    pip install six && \
+    pip install terminado && \
+    pip install testpath && \
+    pip install tornado && \
+    pip install tqdm && \
+    pip install traitlets && \
+    pip install wcwidth && \
+    pip install webencodings && \
+    pip install widgetsnbextension && \
     cd /usr/local/src && git clone --depth=1 https://github.com/fastai/fastai && \
     cd fastai && python setup.py install && \
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \
-    # Required to display Altair charts in Jupyter notebook
-    jupyter nbextension install --user --py vega
-
-
+    cd && rm -rf /usr/local/src/*
+    
     ###########
     #
     #      NEW CONTRIBUTORS:

From 42b12ae40befd0004ff4875d524553e5222fdcc5 Mon Sep 17 00:00:00 2001
From: Bri-Will <briwill@yahoo.com>
Date: Mon, 12 Mar 2018 13:41:43 -0700
Subject: [PATCH 0297/1660] Update Dockerfile

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index cce66d1e..0a835296 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -400,7 +400,7 @@ RUN pip install flashtext && \
     pip install pyemd && \
     pip install pyupset && \
     pip install -e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper && \
-    cd /usr/local/src && git clone https://github.com/hyperopt/hyperopt-sklearn.git && cd hyperopt-sklearn && pip install -e . && \
+    pip install hpsklearn && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/*

From 1be67f8a1429556db314aea14a6265d4032d31fe Mon Sep 17 00:00:00 2001
From: crawforc3 <crawforc3@gmail.com>
Date: Mon, 12 Mar 2018 13:59:07 -0700
Subject: [PATCH 0298/1660] Moved to "new contributors" block and added "&& \"

---
 Dockerfile | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 406e9e71..73aa7e5d 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -91,8 +91,6 @@ RUN apt-get install -y libfreetype6-dev && \
     cd keras-rl && python setup.py install && \
     #keras-rcnn
     pip install git+https://github.com/broadinstitute/keras-rcnn && \
-    #keras-tqdm
-    pip install keras-tqdm
     #neon
     cd /usr/local/src && \
     git clone --depth 1 https://github.com/NervanaSystems/neon.git && \
@@ -402,6 +400,7 @@ RUN pip install flashtext && \
     pip install pyemd && \
     pip install pyupset && \
     pip install -e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper && \
+    pip install keras-tqdm
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/*

From d690a1be7debbf357988e390f2604b426708679d Mon Sep 17 00:00:00 2001
From: crawforc3 <crawforc3@gmail.com>
Date: Mon, 12 Mar 2018 14:11:46 -0700
Subject: [PATCH 0299/1660] Actually added "&& \"

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 73aa7e5d..0f125734 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -400,7 +400,7 @@ RUN pip install flashtext && \
     pip install pyemd && \
     pip install pyupset && \
     pip install -e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper && \
-    pip install keras-tqdm
+    pip install keras-tqdm && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/*

From 6515ababe9b371b6dc65a8620399a4b07706f012 Mon Sep 17 00:00:00 2001
From: crawforc3 <crawforc3@gmail.com>
Date: Fri, 16 Mar 2018 08:47:22 -0700
Subject: [PATCH 0300/1660] Update Dockerfile

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index f14ded06..b3b8e409 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -430,7 +430,7 @@ RUN pip install bcolz && \
     pip install ptyprocess && \
     pip install Pygments && \
     pip install pyparsing && \
-    pip install python-dateutil && \
+    pip install python-dateutil==2.6.0 && \
     pip install pytz && \
     pip install PyYAML && \
     pip install pyzmq && \

From 64fb057eb65619730f7ac75d3f85072797023ae4 Mon Sep 17 00:00:00 2001
From: Seb Boving <seb@google.com>
Date: Mon, 19 Mar 2018 16:06:00 +0000
Subject: [PATCH 0301/1660] Split build script into build/test/push.

The push will by default push a 'testing' labeled image.
Use `./push prod` to push the production affecting image.
---
 build | 22 ----------------------
 push  | 11 +++++++++++
 test  | 17 +++++++++++++++++
 3 files changed, 28 insertions(+), 22 deletions(-)
 create mode 100755 push
 create mode 100755 test

diff --git a/build b/build
index 781e96d6..642cc268 100755
--- a/build
+++ b/build
@@ -9,25 +9,3 @@ else
     docker pull continuumio/anaconda3:latest
     docker build --rm --no-cache -t kaggle/python-build .
 fi
-
-
-
-rm -rf /tmp/python-build
-docker rm jupyter_test || true
-mkdir -p /tmp/python-build/tmp
-mkdir -p /tmp/python-build/devshm
-mkdir -p /tmp/python-build/working
-# Check that Jupyter server can run; if it dies on startup, the `docker kill` command will throw an error
-docker run -d --name=jupyter_test --read-only --net=none -e HOME=/tmp -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build jupyter notebook --allow-root --ip="*"
-sleep 3
-docker kill jupyter_test && docker rm jupyter_test
-docker run --rm -t --read-only --net=none -e HOME=/tmp -e KAGGLE_DATA_PROXY_TOKEN=test-key -e KAGGLE_DATA_PROXY_URL=http://127.0.0.1:8000 -e KAGGLE_DATA_PROXY_PROJECT=test -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build /bin/bash -c 'python /input/test_build.py'
-
-# The test_build.py script creates a plot called plot1.png; check that it exists
-[ -s /tmp/python-build/working/plot1.png ] || exit 1
-
-docker tag kaggle/python-build gcr.io/kaggle-images/python
-gcloud docker -- push gcr.io/kaggle-images/python
-
-docker tag kaggle/python-build:latest kaggle/python:latest
-docker push kaggle/python:latest
diff --git a/push b/push
new file mode 100755
index 00000000..ee01a621
--- /dev/null
+++ b/push
@@ -0,0 +1,11 @@
+#!/bin/bash
+set -e
+set +x
+
+label=${1:-testing}
+
+docker tag kaggle/python-build:latest gcr.io/kaggle-images/python:${label}
+gcloud docker -- push gcr.io/kaggle-images/python:${label}
+
+docker tag kaggle/python-build:latest kaggle/python:${label}
+docker push kaggle/python:${label}
diff --git a/test b/test
new file mode 100755
index 00000000..5de44db7
--- /dev/null
+++ b/test
@@ -0,0 +1,17 @@
+#!/bin/bash
+set -e
+set +x
+
+rm -rf /tmp/python-build
+docker rm jupyter_test || true
+mkdir -p /tmp/python-build/tmp
+mkdir -p /tmp/python-build/devshm
+mkdir -p /tmp/python-build/working
+# Check that Jupyter server can run; if it dies on startup, the `docker kill` command will throw an error
+docker run -d --name=jupyter_test --read-only --net=none -e HOME=/tmp -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build jupyter notebook --allow-root --ip="*"
+sleep 3
+docker kill jupyter_test && docker rm jupyter_test
+docker run --rm -t --read-only --net=none -e HOME=/tmp -e KAGGLE_DATA_PROXY_TOKEN=test-key -e KAGGLE_DATA_PROXY_URL=http://127.0.0.1:8000 -e KAGGLE_DATA_PROXY_PROJECT=test -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build /bin/bash -c 'python /input/test_build.py'
+
+# The test_build.py script creates a plot called plot1.png; check that it exists
+[ -s /tmp/python-build/working/plot1.png ] || exit 1

From 256676aedf2c0a47c079ac548592a26ae54828fc Mon Sep 17 00:00:00 2001
From: Seb Boving <seb@google.com>
Date: Mon, 19 Mar 2018 16:13:46 +0000
Subject: [PATCH 0302/1660] Build the python image using Jenkins.

---
 Jenkinsfile | 59 +++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 59 insertions(+)
 create mode 100644 Jenkinsfile

diff --git a/Jenkinsfile b/Jenkinsfile
new file mode 100644
index 00000000..35fc71f0
--- /dev/null
+++ b/Jenkinsfile
@@ -0,0 +1,59 @@
+String cron_string = BRANCH_NAME == "master" ? "H 12 * * 1-5" : ""
+
+pipeline {
+  agent { label 'linux' }
+  options {
+    disableConcurrentBuilds()
+  }
+  triggers {
+    cron(cron_string)
+  }
+  environment {
+    GIT_COMMIT_SHORT = sh(returnStdout: true, script:"git rev-parse --short=7 HEAD").trim()
+    GIT_COMMIT_SUBJECT = sh(returnStdout: true, script:"git log --format=%s -n 1 HEAD").trim()
+    GIT_COMMIT_AUTHOR = sh(returnStdout: true, script:"git log --format='%an' -n 1 HEAD").trim()
+    GIT_COMMIT_SUMMARY = "${GIT_BRANCH} `<https://github.com/Kaggle/kaggle-python/commit/${GIT_COMMIT}|${GIT_COMMIT_SHORT}>` ${GIT_COMMIT_SUBJECT} - ${GIT_COMMIT_AUTHOR}"
+    SLACK_CHANNEL = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"ci\" ]]; then echo \"#kernels\"; else echo \"#builds\"; fi").trim()
+  }
+
+  stages {
+    stage('Docker Build') {
+      steps {
+        slackSend color: 'none', message: "*<${env.BUILD_URL}console|docker build>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
+        sh '''#!/bin/bash
+          ./build
+        '''
+      }
+    }
+
+    stage('Test Image') {
+      steps {
+        slackSend color: 'none', message: "*<${env.BUILD_URL}console|test image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
+        sh '''#!/bin/bash
+          ./test
+        '''
+      }
+    }
+
+    stage('Push Image') {
+      steps {
+        slackSend color: 'none', message: "*<${env.BUILD_URL}console|pushing image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
+        sh '''#!/bin/bash
+          ./push staging
+        '''
+      }
+    }
+  }
+
+  post {
+    failure {
+      slackSend color: 'danger', message: "*<${env.BUILD_URL}console|failed>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
+    }
+    success {
+      slackSend color: 'good', message: "*<${env.BUILD_URL}console|passed>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
+    }
+    aborted {
+      slackSend color: 'warning', message: "*<${env.BUILD_URL}console|aborted>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
+    }
+  }
+}

From a65a7cfd4c232de596e1d6461367d361f283a948 Mon Sep 17 00:00:00 2001
From: Seb Boving <seb@google.com>
Date: Mon, 19 Mar 2018 21:18:32 +0000
Subject: [PATCH 0303/1660] Fix ci -> master for this repo.

---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 35fc71f0..c43b4ebb 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -13,7 +13,7 @@ pipeline {
     GIT_COMMIT_SUBJECT = sh(returnStdout: true, script:"git log --format=%s -n 1 HEAD").trim()
     GIT_COMMIT_AUTHOR = sh(returnStdout: true, script:"git log --format='%an' -n 1 HEAD").trim()
     GIT_COMMIT_SUMMARY = "${GIT_BRANCH} `<https://github.com/Kaggle/kaggle-python/commit/${GIT_COMMIT}|${GIT_COMMIT_SHORT}>` ${GIT_COMMIT_SUBJECT} - ${GIT_COMMIT_AUTHOR}"
-    SLACK_CHANNEL = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"ci\" ]]; then echo \"#kernels\"; else echo \"#builds\"; fi").trim()
+    SLACK_CHANNEL = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"master\" ]]; then echo \"#kernels\"; else echo \"#builds\"; fi").trim()
   }
 
   stages {

From c7b8d8ff80c3b28aa2b305056b1f578ae4f715ed Mon Sep 17 00:00:00 2001
From: Seb Boving <seb@google.com>
Date: Wed, 21 Mar 2018 19:27:43 +0000
Subject: [PATCH 0304/1660] Carry over nits from the cuda branch's Jenkinsfile.

---
 Jenkinsfile | 12 ++++++++++--
 1 file changed, 10 insertions(+), 2 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index c43b4ebb..b60442b8 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -1,7 +1,7 @@
 String cron_string = BRANCH_NAME == "master" ? "H 12 * * 1-5" : ""
 
 pipeline {
-  agent { label 'linux' }
+  agent { label 'linux && !gpu' }
   options {
     disableConcurrentBuilds()
   }
@@ -21,7 +21,9 @@ pipeline {
       steps {
         slackSend color: 'none', message: "*<${env.BUILD_URL}console|docker build>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
         sh '''#!/bin/bash
-          ./build
+          set -exo pipefail
+
+          ./build | ts
         '''
       }
     }
@@ -30,6 +32,9 @@ pipeline {
       steps {
         slackSend color: 'none', message: "*<${env.BUILD_URL}console|test image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
         sh '''#!/bin/bash
+          set -exo pipefail
+
+          date
           ./test
         '''
       }
@@ -39,6 +44,9 @@ pipeline {
       steps {
         slackSend color: 'none', message: "*<${env.BUILD_URL}console|pushing image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
         sh '''#!/bin/bash
+          set -exo pipefail
+
+          date
           ./push staging
         '''
       }

From a3296aa915de9cd89a6467fc612bf492faefc677 Mon Sep 17 00:00:00 2001
From: Seb Boving <seb@google.com>
Date: Wed, 28 Mar 2018 17:19:09 +0000
Subject: [PATCH 0305/1660] Only push the  tagged image to docker.io.

---
 push | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/push b/push
index ee01a621..ac3d2136 100755
--- a/push
+++ b/push
@@ -7,5 +7,7 @@ label=${1:-testing}
 docker tag kaggle/python-build:latest gcr.io/kaggle-images/python:${label}
 gcloud docker -- push gcr.io/kaggle-images/python:${label}
 
-docker tag kaggle/python-build:latest kaggle/python:${label}
-docker push kaggle/python:${label}
+if [[ "$label" == "latest" ]]; then
+  docker tag kaggle/python-build:latest kaggle/python:${label}
+  docker push kaggle/python:${label}
+fi

From 7b110689a5bf92f7d1aa7d4cd1133ae75af3e6bc Mon Sep 17 00:00:00 2001
From: Dan Becker <dansbecker@gmail.com>
Date: Fri, 30 Mar 2018 14:13:53 -0600
Subject: [PATCH 0306/1660] Add learntools for use in learn exercises

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 31ea2a78..5591e1ba 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -452,7 +452,7 @@ RUN pip install bcolz && \
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \
     cd && rm -rf /usr/local/src/*
-    
+
     ###########
     #
     #      NEW CONTRIBUTORS:
@@ -466,6 +466,7 @@ RUN pip install flashtext && \
     pip install pyupset && \
     pip install -e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper && \
     pip install hpsklearn && \
+    pip install git+https://github.com/Kaggle/learntools && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/*

From 062f975d92c5795feb530e3ea1914d3c7dd3a96b Mon Sep 17 00:00:00 2001
From: Seb Boving <seb@google.com>
Date: Tue, 3 Apr 2018 23:15:20 +0000
Subject: [PATCH 0307/1660] Support adding an /etc/host entry for the data
 proxy, if asked.

---
 patches/sitecustomize.py | 15 +++++++++++++++
 1 file changed, 15 insertions(+)

diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index 9c6f566a..3a37d118 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -5,12 +5,27 @@
 import torch
 import os
 
+_HOST_FILE = "/etc/hosts"
+
 kaggle_proxy_token = os.getenv("KAGGLE_DATA_PROXY_TOKEN")
 if kaggle_proxy_token:
     from google.auth import credentials
     from google.cloud import bigquery
     from google.cloud.bigquery._http import Connection
 
+    host_entry = os.getenv("KAGGLE_DATA_PROXY_HOST_ENTRY")
+    if host_entry:
+        host_entry = host_entry.strip()
+        with open(_HOST_FILE, "r") as host_file:
+            for line in host_file:
+                if line.strip() == host_entry:
+                    break
+            else:
+                with open(_HOST_FILE, "a") as host_file_append:
+                    host_file_append.write("\n"  # Just in case it wasn't newline terminated.
+                                           + host_entry
+                                           + "\n")
+
     Connection.API_BASE_URL = os.getenv("KAGGLE_DATA_PROXY_URL")
     Connection._EXTRA_HEADERS["X-KAGGLE-PROXY-DATA"] = kaggle_proxy_token
 

From 97894a171d1831838da28b757aabb352bc5ecfd9 Mon Sep 17 00:00:00 2001
From: Seb Boving <seb@google.com>
Date: Thu, 5 Apr 2018 00:36:06 +0000
Subject: [PATCH 0308/1660] Revert "Support adding an /etc/host entry for the
 data proxy, if asked."

This reverts commit 062f975d92c5795feb530e3ea1914d3c7dd3a96b.

There is no more need for this support in the docker image.  It is fully
externally handled through docker run's `--add-host` feature.
---
 patches/sitecustomize.py | 15 ---------------
 1 file changed, 15 deletions(-)

diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index 3a37d118..9c6f566a 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -5,27 +5,12 @@
 import torch
 import os
 
-_HOST_FILE = "/etc/hosts"
-
 kaggle_proxy_token = os.getenv("KAGGLE_DATA_PROXY_TOKEN")
 if kaggle_proxy_token:
     from google.auth import credentials
     from google.cloud import bigquery
     from google.cloud.bigquery._http import Connection
 
-    host_entry = os.getenv("KAGGLE_DATA_PROXY_HOST_ENTRY")
-    if host_entry:
-        host_entry = host_entry.strip()
-        with open(_HOST_FILE, "r") as host_file:
-            for line in host_file:
-                if line.strip() == host_entry:
-                    break
-            else:
-                with open(_HOST_FILE, "a") as host_file_append:
-                    host_file_append.write("\n"  # Just in case it wasn't newline terminated.
-                                           + host_entry
-                                           + "\n")
-
     Connection.API_BASE_URL = os.getenv("KAGGLE_DATA_PROXY_URL")
     Connection._EXTRA_HEADERS["X-KAGGLE-PROXY-DATA"] = kaggle_proxy_token
 

From a8cb9a1ce2377de2f9daa4292fa025e449fabd8a Mon Sep 17 00:00:00 2001
From: Seb Boving <seb@google.com>
Date: Fri, 6 Apr 2018 20:56:56 +0000
Subject: [PATCH 0309/1660] Apply new slack message format to docker-python's
 pipeline.

---
 Jenkinsfile | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index b60442b8..b288763d 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -12,14 +12,14 @@ pipeline {
     GIT_COMMIT_SHORT = sh(returnStdout: true, script:"git rev-parse --short=7 HEAD").trim()
     GIT_COMMIT_SUBJECT = sh(returnStdout: true, script:"git log --format=%s -n 1 HEAD").trim()
     GIT_COMMIT_AUTHOR = sh(returnStdout: true, script:"git log --format='%an' -n 1 HEAD").trim()
-    GIT_COMMIT_SUMMARY = "${GIT_BRANCH} `<https://github.com/Kaggle/kaggle-python/commit/${GIT_COMMIT}|${GIT_COMMIT_SHORT}>` ${GIT_COMMIT_SUBJECT} - ${GIT_COMMIT_AUTHOR}"
+    GIT_COMMIT_SUMMARY = "`<https://github.com/Kaggle/kaggle-python/commit/${GIT_COMMIT}|${GIT_COMMIT_SHORT}>` ${GIT_COMMIT_SUBJECT} - ${GIT_COMMIT_AUTHOR}"
     SLACK_CHANNEL = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"master\" ]]; then echo \"#kernels\"; else echo \"#builds\"; fi").trim()
   }
 
   stages {
     stage('Docker Build') {
       steps {
-        slackSend color: 'none', message: "*<${env.BUILD_URL}console|docker build>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
+        slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} docker build>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
         sh '''#!/bin/bash
           set -exo pipefail
 
@@ -30,7 +30,7 @@ pipeline {
 
     stage('Test Image') {
       steps {
-        slackSend color: 'none', message: "*<${env.BUILD_URL}console|test image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
+        slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} test image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
         sh '''#!/bin/bash
           set -exo pipefail
 
@@ -42,7 +42,7 @@ pipeline {
 
     stage('Push Image') {
       steps {
-        slackSend color: 'none', message: "*<${env.BUILD_URL}console|pushing image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
+        slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} pushing image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
         sh '''#!/bin/bash
           set -exo pipefail
 
@@ -55,13 +55,13 @@ pipeline {
 
   post {
     failure {
-      slackSend color: 'danger', message: "*<${env.BUILD_URL}console|failed>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
+      slackSend color: 'danger', message: "*<${env.BUILD_URL}console|${JOB_NAME} failed>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
     }
     success {
-      slackSend color: 'good', message: "*<${env.BUILD_URL}console|passed>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
+      slackSend color: 'good', message: "*<${env.BUILD_URL}console|${JOB_NAME} passed>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
     }
     aborted {
-      slackSend color: 'warning', message: "*<${env.BUILD_URL}console|aborted>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
+      slackSend color: 'warning', message: "*<${env.BUILD_URL}console|${JOB_NAME} aborted>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
     }
   }
 }

From ee2ac28961b96cfe945fc6348901af3a05b0d0b9 Mon Sep 17 00:00:00 2001
From: Richard Liaw <rliaw@berkeley.edu>
Date: Fri, 6 Apr 2018 17:46:36 -0700
Subject: [PATCH 0310/1660] Updating Dockerfile to install ray

Adds support for `ray` which makes it easy to do parallel computation.
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 5591e1ba..0b909477 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -467,6 +467,7 @@ RUN pip install flashtext && \
     pip install -e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper && \
     pip install hpsklearn && \
     pip install git+https://github.com/Kaggle/learntools && \
+    pip install ray && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/*

From e6beca0598c962e52ede533f9de4924daf852f6d Mon Sep 17 00:00:00 2001
From: Chris Crawford <crawforc3@gmail.com>
Date: Fri, 13 Apr 2018 19:06:05 +0000
Subject: [PATCH 0311/1660] Install openCV from pip instead of source

---
 Dockerfile | 31 +++++++++++++++++--------------
 1 file changed, 17 insertions(+), 14 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 5591e1ba..02507746 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -34,21 +34,24 @@ libxcb-render0 libxcb-shm0 netpbm poppler-data p7zip-full && \
     tar xzf ImageMagick.tar.gz && cd `ls -d ImageMagick-*` && pwd && ls -al && ./configure && \
     make -j $(nproc) && make install && \
     # clean up ImageMagick source files
-    cd ../ && rm -rf ImageMagick* && \
-    apt-get -y install libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev && \
-    apt-get -y install libtbb2 libtbb-dev libjpeg-dev libtiff-dev libjasper-dev && \
-    apt-get -y install cmake && \
-    cd /usr/local/src && git clone --depth 1 https://github.com/Itseez/opencv.git && \
-    cd opencv && \
-    mkdir build && cd build && \
-    cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D WITH_FFMPEG=OFF -D WITH_V4L=ON -D WITH_QT=OFF -D WITH_OPENGL=ON -D PYTHON3_LIBRARY=/opt/conda/lib/libpython3.6m.so -D PYTHON3_INCLUDE_DIR=/opt/conda/include/python3.6m/ -D PYTHON_LIBRARY=/opt/conda/lib/libpython3.6m.so -D PYTHON_INCLUDE_DIR=/opt/conda/include/python3.6m/ -D BUILD_PNG=TRUE .. && \
-    make -j $(nproc) && make install && \
-    echo "/usr/local/lib/python3.6/site-packages" > /etc/ld.so.conf.d/opencv.conf && ldconfig && \
-    cp /usr/local/lib/python3.6/site-packages/cv2.cpython-36m-x86_64-linux-gnu.so /opt/conda/lib/python3.6/site-packages/ && \
+    cd ../ && rm -rf ImageMagick*
+
+# OpenCV install (from pip or source)
+RUN pip install opencv-python
+    #apt-get -y install libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev && \
+    #apt-get -y install libtbb2 libtbb-dev libjpeg-dev libtiff-dev libjasper-dev && \
+    #apt-get -y install cmake && \
+    #cd /usr/local/src && git clone --depth 1 https://github.com/Itseez/opencv.git && \
+    #cd opencv && \
+    #mkdir build && cd build && \
+    #cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D WITH_FFMPEG=OFF -D WITH_V4L=ON -D WITH_QT=OFF -D WITH_OPENGL=ON -D PYTHON3_LIBRARY=/opt/conda/lib/libpython3.6m.so -D PYTHON3_INCLUDE_DIR=/opt/conda/include/python3.6m/ -D PYTHON_LIBRARY=/opt/conda/lib/libpython3.6m.so -D PYTHON_INCLUDE_DIR=/opt/conda/include/python3.6m/ -D BUILD_PNG=TRUE .. && \
+    #make -j $(nproc) && make install && \
+    #echo "/usr/local/lib/python3.6/site-packages" > /etc/ld.so.conf.d/opencv.conf && ldconfig && \
+    #cp /usr/local/lib/python3.6/site-packages/cv2.cpython-36m-x86_64-linux-gnu.so /opt/conda/lib/python3.6/site-packages/ && \
     # Clean up install cruft
-    rm -rf /usr/local/src/opencv && \
-    rm -rf /root/.cache/pip/* && \
-    apt-get autoremove -y && apt-get clean
+    #rm -rf /usr/local/src/opencv && \
+    #rm -rf /root/.cache/pip/* && \
+    #apt-get autoremove -y && apt-get clean
 
 # Tensorflow source build
 RUN apt-get install -y python-software-properties zip && \

From e7f7dc51562c3413236ae8e6ae97cd73389c794d Mon Sep 17 00:00:00 2001
From: Chris Crawford <crawforc3@gmail.com>
Date: Fri, 13 Apr 2018 19:52:46 +0000
Subject: [PATCH 0312/1660] Temporary fix for pyfasttext - cysignals 1.7.0
 causes build to fail

---
 Dockerfile | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 02507746..e548e69e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -364,7 +364,10 @@ RUN pip install --upgrade mpld3 && \
     pip install cufflinks && \
     pip install glmnet_py && \
     pip install lime && \
-    pip install memory_profiler && \
+    pip install memory_profiler
+
+# Temp fix for pyfasttext (cysignals 1.7.0 causes build to fail)
+RUN pip install --upgrade cysignals==1.6.9 && \
     pip install pyfasttext && \
     pip install ktext && \
     cd /usr/local/src && git clone --depth=1 https://github.com/facebookresearch/fastText.git && cd fastText && pip install . && \

From 28259c93e4bdbe2b449837ec4377a27042b9b34c Mon Sep 17 00:00:00 2001
From: Nathaniel Saul <nat@saulgill.com>
Date: Fri, 13 Apr 2018 15:16:58 -0700
Subject: [PATCH 0313/1660] Include Kepler Mapper

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 5591e1ba..03227a93 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -467,6 +467,7 @@ RUN pip install flashtext && \
     pip install -e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper && \
     pip install hpsklearn && \
     pip install git+https://github.com/Kaggle/learntools && \
+    pip install kmapper && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/*

From 955901aed9100911a182c3b52973d332a066fea5 Mon Sep 17 00:00:00 2001
From: Scott Lundberg <slundberg@users.noreply.github.com>
Date: Fri, 13 Apr 2018 23:26:07 -0700
Subject: [PATCH 0314/1660] Add shap to Dockerfile

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 5591e1ba..8626929e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -467,6 +467,7 @@ RUN pip install flashtext && \
     pip install -e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper && \
     pip install hpsklearn && \
     pip install git+https://github.com/Kaggle/learntools && \
+    pip install shap && \
     ##### ^^^^ Add new contributions above here
     # clean up pip cache
     rm -rf /root/.cache/pip/*

From 92d3aa1bba49b02f2b9806c824e9bdd42bc366d8 Mon Sep 17 00:00:00 2001
From: Chris Crawford <crawforc3@gmail.com>
Date: Tue, 17 Apr 2018 19:36:09 +0000
Subject: [PATCH 0315/1660] Fix pyfasttext opencv, tensorflow

---
 Dockerfile    | 16 +++++++++-------
 test_build.py | 30 +++++++++++++-----------------
 2 files changed, 22 insertions(+), 24 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index e548e69e..fde4d44c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -63,11 +63,12 @@ RUN apt-get install -y python-software-properties zip && \
     echo "deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8" | tee /etc/apt/sources.list.d/bazel.list && \
     curl https://bazel.build/bazel-release.pub.gpg | apt-key add - && \
     apt-get update && apt-get install -y bazel && apt-get upgrade -y bazel && \
-    cd /usr/local/src && git clone https://github.com/tensorflow/tensorflow && \
-    cd tensorflow && echo "\n" | ./configure && \
-    bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package && \
-    bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg && \
-    pip install /tmp/tensorflow_pkg/tensorflow*.whl
+    pip install tensorflow 
+    #cd /usr/local/src && git clone https://github.com/tensorflow/tensorflow && \
+    #cd tensorflow && echo "\n" | ./configure && \
+    #bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package && \
+    #bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg && \
+    #pip install /tmp/tensorflow_pkg/tensorflow*.whl
 
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
@@ -366,8 +367,9 @@ RUN pip install --upgrade mpld3 && \
     pip install lime && \
     pip install memory_profiler
 
-# Temp fix for pyfasttext (cysignals 1.7.0 causes build to fail)
-RUN pip install --upgrade cysignals==1.6.9 && \
+# install cython & cysignals before pyfasttext
+RUN pip install --upgrade cython && \
+    pip install --upgrade cysignals && \
     pip install pyfasttext && \
     pip install ktext && \
     cd /usr/local/src && git clone --depth=1 https://github.com/facebookresearch/fastText.git && cd fastText && pip install . && \
diff --git a/test_build.py b/test_build.py
index bc70c2b0..64830189 100644
--- a/test_build.py
+++ b/test_build.py
@@ -55,24 +55,27 @@
 import theano
 print("Theano ok")
 
-from keras.models import Sequential
-from keras.layers.core import Dense, Dropout, Activation, Flatten
-from keras.layers.convolutional import Convolution2D, MaxPooling2D
-from keras.optimizers import SGD
-print("keras ok")
-
 import nltk
 from nltk.stem import WordNetLemmatizer
 print("nltk ok")
 
+import cv2
+img = cv2.imread('plot1.png',0)
+print("OpenCV ok")
+
 import tensorflow as tf
+print(tf.__version__)
 hello = tf.constant('TensorFlow ok')
 sess = tf.Session()
 print(sess.run(hello))
+print("Tensorflow ok")
+
+from keras.models import Sequential
+from keras.layers.core import Dense, Dropout, Activation, Flatten
+from keras.layers.convolutional import Convolution2D, MaxPooling2D
+from keras.optimizers import SGD
+print("Keras ok")
 
-import cv2
-img = cv2.imread('plot1.png',0)
-print("OpenCV ok")
 
 from skimage.io import imread
 print("skimage ok")
@@ -110,18 +113,16 @@
 from fastai.io import get_data
 print("fast.ai ok")
 
+# Test BigQuery
 import os
 import threading
 from http.server import BaseHTTPRequestHandler, HTTPServer
 from google.cloud import bigquery
-
 HOSTNAME = "127.0.0.1"
 PORT = 8000
 URL = "http://%s:%s" % (HOSTNAME, PORT)
-
 fake_bq_called = False
 fake_bq_header_found = False
-
 class HTTPHandler(BaseHTTPRequestHandler):
     def do_HEAD(s):
         s.send_response(200)
@@ -135,18 +136,13 @@ def do_GET(s):
 
 httpd = HTTPServer((HOSTNAME, PORT), HTTPHandler)
 threading.Thread(target=httpd.serve_forever).start()
-
 client = bigquery.Client()
-
 try:
     for ds in client.list_datasets(): pass
 except:
     pass
-
 httpd.shutdown()
-
 assert fake_bq_called, "Fake server did not recieve a request from the BQ client."
 assert fake_bq_header_found, "X-KAGGLE-PROXY-DATA header was missing from the BQ request."
-
 print("bigquery proxy ok")
 

From bd070a7285ce8b1d4b489c6b730615a7b8a00b38 Mon Sep 17 00:00:00 2001
From: crawforc3 <crawforc3@gmail.com>
Date: Thu, 19 Apr 2018 14:45:28 -0700
Subject: [PATCH 0316/1660] Move Tensorflow and PyTorch to the beginning

---
 test_build.py | 56 +++++++++++++++++++++++++--------------------------
 1 file changed, 27 insertions(+), 29 deletions(-)

diff --git a/test_build.py b/test_build.py
index 64830189..6a08f588 100644
--- a/test_build.py
+++ b/test_build.py
@@ -2,6 +2,33 @@
 # kaggle/python container. It checks that all our most popular packages can
 # be loaded and used without errors.
 
+import tensorflow as tf
+print(tf.__version__)
+hello = tf.constant('TensorFlow ok')
+sess = tf.Session()
+print(sess.run(hello))
+print("Tensorflow ok")
+
+from keras.models import Sequential
+from keras.layers.core import Dense, Dropout, Activation, Flatten
+from keras.layers.convolutional import Convolution2D, MaxPooling2D
+from keras.optimizers import SGD
+print("Keras ok")
+
+# PyTorch smoke test based on http://pytorch.org/tutorials/beginner/nlp/deep_learning_tutorial.html
+import torch
+import torch.nn as tnn
+import torch.autograd as autograd
+torch.manual_seed(31337)
+linear_torch = tnn.Linear(5,3)
+data_torch = autograd.Variable(torch.randn(2, 5))
+print(linear_torch(data_torch))
+print("PyTorch ok")
+
+import fastai
+from fastai.io import get_data
+print("fast.ai ok")
+
 import numpy as np
 print("Numpy imported ok")
 print("Your lucky number is: " + str(np.random.randint(100)))
@@ -63,20 +90,6 @@
 img = cv2.imread('plot1.png',0)
 print("OpenCV ok")
 
-import tensorflow as tf
-print(tf.__version__)
-hello = tf.constant('TensorFlow ok')
-sess = tf.Session()
-print(sess.run(hello))
-print("Tensorflow ok")
-
-from keras.models import Sequential
-from keras.layers.core import Dense, Dropout, Activation, Flatten
-from keras.layers.convolutional import Convolution2D, MaxPooling2D
-from keras.optimizers import SGD
-print("Keras ok")
-
-
 from skimage.io import imread
 print("skimage ok")
 
@@ -99,20 +112,6 @@
 import seaborn
 print("seaborn ok")
 
-# PyTorch smoke test based on http://pytorch.org/tutorials/beginner/nlp/deep_learning_tutorial.html
-import torch
-import torch.nn as tnn
-import torch.autograd as autograd
-torch.manual_seed(31337)
-linear_torch = tnn.Linear(5,3)
-data_torch = autograd.Variable(torch.randn(2, 5))
-print(linear_torch(data_torch))
-print("PyTorch ok")
-
-import fastai
-from fastai.io import get_data
-print("fast.ai ok")
-
 # Test BigQuery
 import os
 import threading
@@ -145,4 +144,3 @@ def do_GET(s):
 assert fake_bq_called, "Fake server did not recieve a request from the BQ client."
 assert fake_bq_header_found, "X-KAGGLE-PROXY-DATA header was missing from the BQ request."
 print("bigquery proxy ok")
-

From 78b9abeae2c8a821fb9e7943ba929a35f1838a5c Mon Sep 17 00:00:00 2001
From: crawforc3 <crawforc3@gmail.com>
Date: Thu, 19 Apr 2018 14:54:01 -0700
Subject: [PATCH 0317/1660] Update Dockerfile

---
 Dockerfile | 25 +++++++++++++++----------
 1 file changed, 15 insertions(+), 10 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 754a450a..d36e47af 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -53,22 +53,27 @@ RUN pip install opencv-python
     #rm -rf /root/.cache/pip/* && \
     #apt-get autoremove -y && apt-get clean
 
-# Tensorflow source build
-RUN apt-get install -y python-software-properties zip && \
-    echo "deb http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list &&     echo "deb-src http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list &&     apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys EEA14886 C857C906 2B90D010 && \
+RUN apt-get update && apt-get install -y python-software-properties zip && \
+    echo "deb http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list && \
+    echo "deb-src http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list && \
+    apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys EEA14886 C857C906 2B90D010 && \
     apt-get update && \
     echo debconf shared/accepted-oracle-license-v1-1 select true | debconf-set-selections && \
     echo debconf shared/accepted-oracle-license-v1-1 seen true | debconf-set-selections && \
     apt-get install -y oracle-java8-installer && \
     echo "deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8" | tee /etc/apt/sources.list.d/bazel.list && \
     curl https://bazel.build/bazel-release.pub.gpg | apt-key add - && \
-    apt-get update && apt-get install -y bazel && apt-get upgrade -y bazel && \
-    pip install tensorflow 
-    #cd /usr/local/src && git clone https://github.com/tensorflow/tensorflow && \
-    #cd tensorflow && echo "\n" | ./configure && \
-    #bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package && \
-    #bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg && \
-    #pip install /tmp/tensorflow_pkg/tensorflow*.whl
+    apt-get update && apt-get install -y bazel && \
+    apt-get upgrade -y bazel
+
+# Tensorflow source build
+RUN cd /usr/local/src && \
+    git clone https://github.com/tensorflow/tensorflow && \
+    cd tensorflow && \
+    cat /dev/null | ./configure && \
+    bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package && \
+    bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg && \
+    pip install /tmp/tensorflow_pkg/tensorflow*.whl
 
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \

From 0cd7f84f94fede90dd2f1715076430dff77aa89b Mon Sep 17 00:00:00 2001
From: Scott Lundberg <slund1@cs.washington.edu>
Date: Thu, 19 Apr 2018 15:14:22 -0700
Subject: [PATCH 0318/1660] Added import test

---
 test_build.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/test_build.py b/test_build.py
index 64830189..8a466b4c 100644
--- a/test_build.py
+++ b/test_build.py
@@ -146,3 +146,6 @@ def do_GET(s):
 assert fake_bq_header_found, "X-KAGGLE-PROXY-DATA header was missing from the BQ request."
 print("bigquery proxy ok")
 
+import shap
+print("shap ok")
+

From 9673bcc21fa9a73c69782864a5a07a307acd556e Mon Sep 17 00:00:00 2001
From: Chris Crawford <crawforc3@gmail.com>
Date: Thu, 26 Apr 2018 21:50:09 +0000
Subject: [PATCH 0319/1660] Add conda install bokeh

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index e63ed888..0887a25d 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -220,6 +220,7 @@ RUN apt-get update && \
     pip install line_profiler && \
     pip install orderedmultidict && \
     pip install smhasher && \
+    conda install -y -c bokeh bokeh && \
     conda install -y -c bokeh datashader && \
     # Boruta (python implementation)
     cd /usr/local/src && git clone https://github.com/danielhomola/boruta_py.git && \

From 546da7d62071639e5d6814658133276e75d47eab Mon Sep 17 00:00:00 2001
From: Chris Crawford <crawforc3@gmail.com>
Date: Fri, 27 Apr 2018 22:17:36 +0000
Subject: [PATCH 0320/1660] Add exports to PyTorch

---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 0887a25d..a5bf1d4b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -237,6 +237,8 @@ RUN apt-get update && \
     #./waf configure --mode=release --build-static --with-python --with-cpptests --with-examples --with-vamp && \
     #./waf && ./waf install && mv /usr/local/lib/python3.6/site-packages/essentia /opt/conda/lib/python3.6 && \
     # PyTorch
+    export CXXFLAGS="-std=c++11" && \
+    export CFLAGS="-std=c99" && \
     conda install -y pytorch torchvision -c pytorch && \
     # PyTorch Audio
     apt-get install -y sox libsox-dev libsox-fmt-all && \

From b03166575df7bd8e8ef303a97858f8a1c7e39fe9 Mon Sep 17 00:00:00 2001
From: Nathaniel Saul <nat@saulgill.com>
Date: Sun, 29 Apr 2018 14:12:30 -0700
Subject: [PATCH 0321/1660] adding kmapper test in build

---
 test_build.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/test_build.py b/test_build.py
index a238bdce..e47961fb 100644
--- a/test_build.py
+++ b/test_build.py
@@ -148,3 +148,5 @@ def do_GET(s):
 import shap
 print("shap ok")
 
+import kmapper
+print("kmapper ok")
\ No newline at end of file

From a80dc5b11457407dfdf0e22a0f1c0027f225e49d Mon Sep 17 00:00:00 2001
From: Seb Boving <seb@google.com>
Date: Fri, 4 May 2018 22:16:22 +0000
Subject: [PATCH 0322/1660] s/#kernels/#kernelops/g

---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index b288763d..5db817d0 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -13,7 +13,7 @@ pipeline {
     GIT_COMMIT_SUBJECT = sh(returnStdout: true, script:"git log --format=%s -n 1 HEAD").trim()
     GIT_COMMIT_AUTHOR = sh(returnStdout: true, script:"git log --format='%an' -n 1 HEAD").trim()
     GIT_COMMIT_SUMMARY = "`<https://github.com/Kaggle/kaggle-python/commit/${GIT_COMMIT}|${GIT_COMMIT_SHORT}>` ${GIT_COMMIT_SUBJECT} - ${GIT_COMMIT_AUTHOR}"
-    SLACK_CHANNEL = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"master\" ]]; then echo \"#kernels\"; else echo \"#builds\"; fi").trim()
+    SLACK_CHANNEL = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"master\" ]]; then echo \"#kernelops\"; else echo \"#builds\"; fi").trim()
   }
 
   stages {

From cbc396ff90e8f6ad2b533ba1d309f70f55aa42bb Mon Sep 17 00:00:00 2001
From: Dan Becker <dansbecker@gmail.com>
Date: Thu, 10 May 2018 13:50:03 -0600
Subject: [PATCH 0323/1660] Add gym and tensorforce

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index fedb0cd0..192ee289 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -490,7 +490,8 @@ RUN pip install flashtext && \
     pip install kmapper && \
     pip install shap && \
     pip install ray && \
-
+    pip install gym && \
+    pip install tensorforce && \
     ##### ^^^^ Add new contributions above here ^^^^ #####
 
 

From e270a76a212e52966c803e9b02211961aee18b83 Mon Sep 17 00:00:00 2001
From: Seb Boving <sebbov@users.noreply.github.com>
Date: Fri, 11 May 2018 09:41:37 -0700
Subject: [PATCH 0324/1660] Update README.md with build/test instructions.

---
 README.md | 15 ++++++++++++++-
 1 file changed, 14 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 5809c317..402eda9c 100644
--- a/README.md
+++ b/README.md
@@ -40,8 +40,21 @@ Type "help", "copyright", "credits" or "license" for more information.
 >>>
 ```
 
-Once that's working, add the necessary lines to our [Dockerfile](https://github.com/Kaggle/docker-python/blob/master/Dockerfile). (In this case, that would mean adding `pip install coolpackage` to the last section.) Then submit your pull request, and you're all set!
+Once that's working, add the necessary lines to our [Dockerfile](https://github.com/Kaggle/docker-python/blob/master/Dockerfile). (In this case, that would mean adding `pip install coolpackage` to the last section.)
 
+Next run the build:
+
+```
+./build
+```
+
+Finally run the tests:
+
+```
+./tests
+```
+
+Then submit your pull request, and you're all set!
 
 
 

From f23bb487e99e16bc6c76d03cf5c0abd87636c449 Mon Sep 17 00:00:00 2001
From: Chris Crawford <crawforc3@gmail.com>
Date: Thu, 17 May 2018 16:05:35 +0000
Subject: [PATCH 0325/1660] Upgrade pip, add --no-dependencies flag to
 kmeans-smote and kmodes

---
 Dockerfile | 29 +++++++++++++++--------------
 1 file changed, 15 insertions(+), 14 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index fedb0cd0..4192c776 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -9,13 +9,14 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     apt-get update && apt-get install -y build-essential && \
     # https://stackoverflow.com/a/46498173
     conda update -y conda && conda update -y python && \
+    pip install --upgrade pip && \
     # Vowpal Rabbit
     #apt-get install -y libboost-program-options-dev zlib1g-dev libboost-python-dev && \
     #cd /usr/lib/x86_64-linux-gnu/ && rm -f libboost_python.a && rm -f libboost_python.so && \
     #ln -sf libboost_python-py34.so libboost_python.so && ln -sf libboost_python-py34.a libboost_python.a && \
     #pip install vowpalwabbit && \
     # Anaconda's scipy is currently behind the main release (1.0)
-    pip install scipy --upgrade && \
+    #pip install scipy --upgrade && \
     pip install seaborn python-dateutil dask pytagcloud pyyaml joblib \
     husl geopy ml_metrics mne pyshp gensim && \
     conda install -y -c conda-forge spacy && python -m spacy download en && \
@@ -199,8 +200,11 @@ RUN apt-get update && \
     # Re-run it to flush any more disk writes
     python -c "from keras.models import Sequential; from keras import backend; print(backend._BACKEND)" && \
     # Keras reverts to /tmp from ~ when it detects a read-only file system
-    mkdir -p /tmp/.keras && cp /root/.keras/keras.json /tmp/.keras && \
-    # Scikit-Learn nightly build
+    mkdir -p /tmp/.keras && cp /root/.keras/keras.json /tmp/.keras
+
+    # scikit-learn dependencies
+RUN pip install scipy && \
+    # Scikit-Learn pinned to 0.19.X until 0.20.0 (many packages break with scikitlearn 0.20.0dev)
     cd /usr/local/src && git clone https://github.com/scikit-learn/scikit-learn.git && \
     cd scikit-learn && python setup.py build && python setup.py install && \
     # HDF5 support
@@ -354,8 +358,9 @@ RUN pip install --upgrade mpld3 && \
     pip install geoplot && \
     pip install eli5 && \
     pip install implicit && \
-    pip install dask-ml[xgboost] && \
-    pip install kmeans-smote && \
+    pip install dask-ml[xgboost]
+
+RUN pip install kmeans-smote --no-dependencies && \
     # Add google PAIR-code Facets
     cd /opt/ && git clone https://github.com/PAIR-code/facets && cd facets/ && jupyter nbextension install facets-dist/ --user && \
     export PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/ && \
@@ -364,7 +369,7 @@ RUN pip install --upgrade mpld3 && \
     pip install --upgrade --ignore-installed setuptools && pip install --no-cache-dir git+git://github.com/ppwwyyxx/tensorpack && \
     pip install pycountry && pip install iso3166 && \
     pip install pydash && \
-    pip install kmodes && \
+    pip install kmodes --no-dependencies && \
     pip install librosa && \
     pip install polyglot && \
     pip install mmh3 && \
@@ -402,10 +407,11 @@ RUN pip install --upgrade cython && \
     # yellowbrick machine learning visualization library
     pip install yellowbrick && \
     pip install mlcrate && \
-    # clean up pip cache
-    rm -rf /root/.cache/pip/* && \
     # Required to display Altair charts in Jupyter notebook
-    jupyter nbextension install --user --py vega
+    pip install vega3 && \
+    jupyter nbextension install --sys-prefix --py vega3  && \
+    # clean up pip cache
+    rm -rf /root/.cache/pip/*
 
 # Fast.ai and dependencies
 RUN pip install bcolz && \
@@ -451,7 +457,6 @@ RUN pip install bcolz && \
     pip install PyYAML && \
     pip install pyzmq && \
     pip install qtconsole && \
-    pip install scipy && \
     pip install seaborn && \
     pip install simplegeneric && \
     pip install six && \
@@ -490,11 +495,7 @@ RUN pip install flashtext && \
     pip install kmapper && \
     pip install shap && \
     pip install ray && \
-
     ##### ^^^^ Add new contributions above here ^^^^ #####
-
-
-
     # clean up pip cache
     rm -rf /root/.cache/pip/*
 

From b3973c71751f66ab1ec04f2af00f983d71ef60cc Mon Sep 17 00:00:00 2001
From: Chris Crawford <crawforc3@gmail.com>
Date: Fri, 18 May 2018 00:16:38 +0000
Subject: [PATCH 0326/1660] install basemap from conda, fancyimpute from
 source, remove ggplot

---
 Dockerfile    | 35 +++++++++++++++++++++--------------
 test_build.py |  5 +----
 2 files changed, 22 insertions(+), 18 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 4192c776..4a74720b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -10,6 +10,7 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     # https://stackoverflow.com/a/46498173
     conda update -y conda && conda update -y python && \
     pip install --upgrade pip && \
+    apt-get -y install cmake && \
     # Vowpal Rabbit
     #apt-get install -y libboost-program-options-dev zlib1g-dev libboost-python-dev && \
     #cd /usr/lib/x86_64-linux-gnu/ && rm -f libboost_python.a && rm -f libboost_python.so && \
@@ -41,7 +42,6 @@ libxcb-render0 libxcb-shm0 netpbm poppler-data p7zip-full && \
 RUN pip install opencv-python
     #apt-get -y install libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev && \
     #apt-get -y install libtbb2 libtbb-dev libjpeg-dev libtiff-dev libjasper-dev && \
-    #apt-get -y install cmake && \
     #cd /usr/local/src && git clone --depth 1 https://github.com/Itseez/opencv.git && \
     #cd opencv && \
     #mkdir build && cd build && \
@@ -154,18 +154,24 @@ vader_lexicon verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe && \
 # Make sure the dynamic linker finds the right libstdc++
 ENV LD_LIBRARY_PATH=/opt/conda/lib
 
+# Install Basemap via conda temporarily
 RUN apt-get update && \
-    # Libgeos, for mapping libraries
-    apt-get -y install libgeos-dev && \
-    # pyshp and pyproj are now external dependencies of Basemap
-    pip install pyshp pyproj && \
-    cd /usr/local/src && git clone https://github.com/matplotlib/basemap.git && \
-    export GEOS_DIR=/usr/local && \
-    cd basemap && python setup.py install && \
+    #apt-get -y install libgeos-dev && \
+    #pip install matplotlib && \
+    #pip install pyshp && \
+    #pip install pyproj && \
+    #cd /usr/local/src && git clone https://github.com/matplotlib/basemap.git && \
+    #cd basemap/geos-3.3.3 && \
+    #export GEOS_DIR=/usr/local && \
+    #./configure --prefix=$GEOS_DIR && \
+    #make && make install && \
+    #cd .. && python setup.py install && \
+    conda install basemap && \
     # Pillow (PIL)
     apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev && \
-    pip install Pillow && \
-    cd /usr/local/src && git clone https://github.com/vitruvianscience/opendeep.git && \
+    pip install Pillow 
+
+RUN cd /usr/local/src && git clone https://github.com/vitruvianscience/opendeep.git && \
     cd opendeep && python setup.py develop  && \
     # sasl is apparently an ibis dependency
     apt-get -y install libsasl2-dev && \
@@ -248,8 +254,6 @@ RUN pip install scipy && \
     apt-get install -y sox libsox-dev libsox-fmt-all && \
     pip install cffi && \
     cd /usr/local/src && git clone https://github.com/pytorch/audio && cd audio && python setup.py install && \
-    # ggpy / ggplot
-    pip install git+https://github.com/yhat/ggplot.git && \
     # ~~~~ CLEAN UP ~~~~
     rm -rf /root/.cache/pip/* && \
     apt-get autoremove -y && apt-get clean && \
@@ -305,8 +309,11 @@ RUN pip install --upgrade mpld3 && \
     pip install pystan && \
     pip install ImageHash && \
     conda install -y ecos && \
-    conda install -y CVXcanon && \
-    pip install fancyimpute && \
+    conda install -y CVXcanon
+
+RUN cd /usr/local/src && git clone https://github.com/iskandr/fancyimpute && \
+    cd fancyimpute && \
+    python setup.py install && \
     pip install git+https://github.com/pymc-devs/pymc3 && \
     pip install tifffile && \
     pip install spectral && \
diff --git a/test_build.py b/test_build.py
index e47961fb..86bb0a7d 100644
--- a/test_build.py
+++ b/test_build.py
@@ -76,9 +76,6 @@
 import plotly.graph_objs as go
 print("plotly ok")
 
-from ggplot import *
-print("ggplot ok")
-
 import theano
 print("Theano ok")
 
@@ -149,4 +146,4 @@ def do_GET(s):
 print("shap ok")
 
 import kmapper
-print("kmapper ok")
\ No newline at end of file
+print("kmapper ok")

From cfb46faf9e8a49c4205e5b98ba2edcb21bda46ba Mon Sep 17 00:00:00 2001
From: crawforc3 <crawforc3@gmail.com>
Date: Fri, 18 May 2018 11:17:25 -0700
Subject: [PATCH 0327/1660] Add tensorflow to import before other pacakges

---
 patches/sitecustomize.py | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index 9c6f566a..f0dfab45 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -1,7 +1,10 @@
 # Monkey patches BigQuery client creation to use proxy.
 
-# Import torch before anything else. This is a hacky workaround to an error on dlopen
-# reporting a limit on static TLS, tracked in https://github.com/pytorch/pytorch/issues/2575
+# Import tensorflow and torch before anything else. This is a hacky workaround to an error on dlopen
+# reporting a limit on static TLS, tracked in:
+# tensorflow: https://github.com/tensorflow/tensorflow/issues/19010
+# torch: https://github.com/pytorch/pytorch/issues/2575
+import tensorflow
 import torch
 import os
 

From bc6d76c674db19d62c0c8fb753d6be70cee48a42 Mon Sep 17 00:00:00 2001
From: Chris Crawford <crawforc3@gmail.com>
Date: Fri, 18 May 2018 21:50:42 +0000
Subject: [PATCH 0328/1660] Add pyarabic, conx, pandasql, trackml

---
 Dockerfile | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 4a74720b..9e994426 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -502,6 +502,10 @@ RUN pip install flashtext && \
     pip install kmapper && \
     pip install shap && \
     pip install ray && \
+    pip install pyarabic && \
+    pip install conx && \
+    pip install pandasql && \
+    pip install trackml && \
     ##### ^^^^ Add new contributions above here ^^^^ #####
     # clean up pip cache
     rm -rf /root/.cache/pip/*

From 2891925ede1b7796fb04f63b063ca52fc25836db Mon Sep 17 00:00:00 2001
From: mlisovyi <mykhailo.lisovyi@cern.ch>
Date: Mon, 28 May 2018 09:24:55 +0200
Subject: [PATCH 0329/1660] add vw build

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 9e994426..7987fd64 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -506,6 +506,7 @@ RUN pip install flashtext && \
     pip install conx && \
     pip install pandasql && \
     pip install trackml && \
+    cd /usr/local/src && git clone https://github.com/JohnLangford/vowpal_wabbit.git && ./vowpal_wabbit/python/conda_install.sh && \
     ##### ^^^^ Add new contributions above here ^^^^ #####
     # clean up pip cache
     rm -rf /root/.cache/pip/*

From d92c5a0e351d443efee0d7b4931ff88033b13e33 Mon Sep 17 00:00:00 2001
From: Chris Crawford <crawforc3@gmail.com>
Date: Wed, 13 Jun 2018 20:04:54 +0000
Subject: [PATCH 0330/1660] Upgrade numpy with pip

---
 Dockerfile | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 9e994426..c4a93a97 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -189,7 +189,9 @@ RUN cd /usr/local/src && git clone https://github.com/vitruvianscience/opendeep.
     pip install mxnet && \
     # h2o
     # Temporary sync of conda's numpy with pip's, needed to avoid an install error
-    conda upgrade -y numpy && \
+    #conda upgrade -y numpy && \
+    # Upgrade numpy with pip to avoid install errors
+    pip install --upgrade numpy && \
     # This requires python-software-properties and Java, which were installed above.
     cd /usr/local/src && mkdir h2o && cd h2o && \
     wget http://h2o-release.s3.amazonaws.com/h2o/latest_stable -O latest && \

From c8985b357b50a0c84fd8f04134ef13f9824bf26a Mon Sep 17 00:00:00 2001
From: Chris Crawford <crawforc3@gmail.com>
Date: Tue, 26 Jun 2018 18:19:15 +0000
Subject: [PATCH 0331/1660] add vowpalwabbit test

---
 test_build.py | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/test_build.py b/test_build.py
index 86bb0a7d..db2ef2f8 100644
--- a/test_build.py
+++ b/test_build.py
@@ -147,3 +147,10 @@ def do_GET(s):
 
 import kmapper
 print("kmapper ok")
+
+from vowpalwabbit import pyvw
+vw = pyvw.vw(quiet=True)
+ex = vw.example('1 | a b c')
+vw.learn(ex)
+vw.predict(ex)
+print('vowpalwabbit ok')

From 04ade60108088f69e47fd49caca571b5532d471c Mon Sep 17 00:00:00 2001
From: Chris Crawford <crawforc3@gmail.com>
Date: Mon, 9 Jul 2018 19:44:00 +0000
Subject: [PATCH 0332/1660] Add Essentia and test

---
 Dockerfile    | 4 +---
 test_build.py | 6 +++++-
 2 files changed, 6 insertions(+), 4 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index bd635250..37e165a0 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -245,9 +245,7 @@ RUN pip install scipy && \
     apt-get install -y pandoc && \
     cd /usr/local/src && git clone git://github.com/scikit-learn-contrib/py-earth.git && \
     cd py-earth && python setup.py install && \
-    #cd /usr/local/src && git clone https://github.com/MTG/essentia.git && cd essentia && \
-    #./waf configure --mode=release --build-static --with-python --with-cpptests --with-examples --with-vamp && \
-    #./waf && ./waf install && mv /usr/local/lib/python3.6/site-packages/essentia /opt/conda/lib/python3.6 && \
+    pip install essentia && \
     # PyTorch
     export CXXFLAGS="-std=c++11" && \
     export CFLAGS="-std=c99" && \
diff --git a/test_build.py b/test_build.py
index db2ef2f8..416e3c25 100644
--- a/test_build.py
+++ b/test_build.py
@@ -152,5 +152,9 @@ def do_GET(s):
 vw = pyvw.vw(quiet=True)
 ex = vw.example('1 | a b c')
 vw.learn(ex)
-vw.predict(ex)
+print(vw.predict(ex))
 print('vowpalwabbit ok')
+
+import essentia
+print(essentia.__version__)
+print("Essentia ok")

From 332d8703dd6d7cb19a46482b3f8e26a2fe0014d6 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 11 Jul 2018 11:27:15 -0700
Subject: [PATCH 0333/1660] Fix typo in github repo name

---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 5db817d0..c02627a8 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -12,7 +12,7 @@ pipeline {
     GIT_COMMIT_SHORT = sh(returnStdout: true, script:"git rev-parse --short=7 HEAD").trim()
     GIT_COMMIT_SUBJECT = sh(returnStdout: true, script:"git log --format=%s -n 1 HEAD").trim()
     GIT_COMMIT_AUTHOR = sh(returnStdout: true, script:"git log --format='%an' -n 1 HEAD").trim()
-    GIT_COMMIT_SUMMARY = "`<https://github.com/Kaggle/kaggle-python/commit/${GIT_COMMIT}|${GIT_COMMIT_SHORT}>` ${GIT_COMMIT_SUBJECT} - ${GIT_COMMIT_AUTHOR}"
+    GIT_COMMIT_SUMMARY = "`<https://github.com/Kaggle/docker-python/commit/${GIT_COMMIT}|${GIT_COMMIT_SHORT}>` ${GIT_COMMIT_SUBJECT} - ${GIT_COMMIT_AUTHOR}"
     SLACK_CHANNEL = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"master\" ]]; then echo \"#kernelops\"; else echo \"#builds\"; fi").trim()
   }
 

From bf0ba53d7d189a39a9407768174e6be40efff4e6 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 19 Jul 2018 16:03:20 -0700
Subject: [PATCH 0334/1660] Run jenkins pipeline on ephemeral worker

---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index c02627a8..a3bc0ea7 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -1,7 +1,7 @@
 String cron_string = BRANCH_NAME == "master" ? "H 12 * * 1-5" : ""
 
 pipeline {
-  agent { label 'linux && !gpu' }
+  agent { label 'ephemeral-linux && !gpu' }
   options {
     disableConcurrentBuilds()
   }

From ef2b1a39a956653ef9ba9db591061153b7ef0d08 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 19 Jul 2018 17:59:12 -0700
Subject: [PATCH 0335/1660] remove not gpu tag

---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index a3bc0ea7..cef5a0b4 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -1,7 +1,7 @@
 String cron_string = BRANCH_NAME == "master" ? "H 12 * * 1-5" : ""
 
 pipeline {
-  agent { label 'ephemeral-linux && !gpu' }
+  agent { label 'ephemeral-linux' }
   options {
     disableConcurrentBuilds()
   }

From ac7b78cdcc9e8799adeef950984f018326eb67b0 Mon Sep 17 00:00:00 2001
From: d1jang <dsjang@google.com>
Date: Wed, 25 Jul 2018 12:22:12 -0700
Subject: [PATCH 0336/1660] Patch .bashrc to set up pip to enable pip install

Create a directory for pip to install modules via users' "pip install" command.

Set up PIP_CONFIG_FILE & PYTHONPATH to use those modeuls in a Kernel session.

Currently this change is no-op until we populate KAGGLE_WORKING_DIR from the worker.
---
 Dockerfile            |  5 +++++
 patches/kaggle_bashrc | 31 +++++++++++++++++++++++++++++++
 2 files changed, 36 insertions(+)
 create mode 100644 patches/kaggle_bashrc

diff --git a/Dockerfile b/Dockerfile
index 37e165a0..dc5118e0 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -535,6 +535,11 @@ ADD patches/sitecustomize.py /root/.local/lib/python3.6/site-packages/sitecustom
 # Set backend for matplotlib
 ENV MPLBACKEND "agg"
 
+# Set up pip to enable pip install.
+ADD patches/kaggle_bashrc /root/.bashrc
+# Patch the system-wide bashrc file for non-root users.
+RUN cat /root/.bashrc >> /etc/bash.bashrc
+
 # Finally, apply any locally defined patches.
 RUN /bin/bash -c \
     "cd / && for p in $(ls /tmp/patches/*.patch); do echo '= Applying patch '\${p}; patch -p2 < \${p}; done"
diff --git a/patches/kaggle_bashrc b/patches/kaggle_bashrc
new file mode 100644
index 00000000..b19e2748
--- /dev/null
+++ b/patches/kaggle_bashrc
@@ -0,0 +1,31 @@
+
+# Kaggle-specific .bashrc script to be appended to /etc/bash.bashrc to apply it
+# when any user session starts.
+# This script sets up pip to enable a user to install and use python modules via
+# pip intall. $KAGGLE_WORKING_DIR should be available for it to work.
+
+if [[ ! -z "${KAGGLE_WORKING_DIR}" ]]; then
+    PIP_INSTALL_PREFIX_DIR="${KAGGLE_WORKING_DIR}/pip"
+    PIP_CONFIG_FILE_PATH="${KAGGLE_WORKING_DIR}/config/pip/pip.conf"
+
+    # Create a directory for pip to install modules.
+    mkdir -p ${PIP_INSTALL_PREFIX_DIR}
+
+    # Create pip config file to use the prefix directory created above for
+    # installation. Also, ignore-installed is set to true to prevent pip
+    # from trying to remove existing modules from the read-only filesystem.
+    mkdir -p `dirname ${PIP_CONFIG_FILE_PATH}`
+    echo "[install]\nprefix=${PIP_INSTALL_PREFIX_DIR}\nignore-installed=true" > ${PIP_CONFIG_FILE_PATH}
+    # Instruct pip to use this config file.
+    export PIP_CONFIG_FILE=${PIP_CONFIG_FILE_PATH}
+
+    # Set up PYTHONPATH correctly to include the user-installed library.
+    # Note that the pip prefix directory overrides the system default to enable
+    # a user to use his/her installed one.
+    # TODO(dsjang): Currently "lib/python3.6/site-packages" is hard-coded
+    # throughout Dockerfile. Parameterize it to avoid a version mismatch. 
+    export PYTHONPATH=${PIP_INSTALL_PREFIX_DIR}/lib/python3.6/site-packages:${PYTHONPATH}
+
+    # Include pip-installed binaries in PATH.
+    export PATH=${PATH}:${PIP_INSTALL_PREFIX_DIR}/bin
+fi
\ No newline at end of file

From ba2ae6924ceeaac55c028414f97e6426bc62c2c6 Mon Sep 17 00:00:00 2001
From: d1jang <dsjang@google.com>
Date: Wed, 25 Jul 2018 12:49:38 -0700
Subject: [PATCH 0337/1660] Remove root/.bashrc.

---
 Dockerfile | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index dc5118e0..9f241b5d 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -536,9 +536,10 @@ ADD patches/sitecustomize.py /root/.local/lib/python3.6/site-packages/sitecustom
 ENV MPLBACKEND "agg"
 
 # Set up pip to enable pip install.
-ADD patches/kaggle_bashrc /root/.bashrc
+ADD patches/kaggle_bashrc /root
 # Patch the system-wide bashrc file for non-root users.
-RUN cat /root/.bashrc >> /etc/bash.bashrc
+RUN cat /root/kaggle_bashrc >> /etc/bash.bashrc
+RUN rm /root/kaggle_bashrc
 
 # Finally, apply any locally defined patches.
 RUN /bin/bash -c \

From 80fe4ad542feea446815f50041cc4d31e436fd04 Mon Sep 17 00:00:00 2001
From: Chris Crawford <crawforc3@gmail.com>
Date: Tue, 31 Jul 2018 22:35:51 +0000
Subject: [PATCH 0338/1660] fix geopandas, pin vowpalwabbit, python3.6.6

---
 Dockerfile | 76 +++++++++++++++++++++++-------------------------------
 1 file changed, 32 insertions(+), 44 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 9f241b5d..cbbec9f9 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -10,27 +10,21 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     # https://stackoverflow.com/a/46498173
     conda update -y conda && conda update -y python && \
     pip install --upgrade pip && \
-    apt-get -y install cmake && \
-    # Vowpal Rabbit
-    #apt-get install -y libboost-program-options-dev zlib1g-dev libboost-python-dev && \
-    #cd /usr/lib/x86_64-linux-gnu/ && rm -f libboost_python.a && rm -f libboost_python.so && \
-    #ln -sf libboost_python-py34.so libboost_python.so && ln -sf libboost_python-py34.a libboost_python.a && \
-    #pip install vowpalwabbit && \
-    # Anaconda's scipy is currently behind the main release (1.0)
-    #pip install scipy --upgrade && \
-    pip install seaborn python-dateutil dask pytagcloud pyyaml joblib \
+    apt-get -y install cmake
+
+RUN pip install seaborn python-dateutil dask pytagcloud pyyaml joblib \
     husl geopy ml_metrics mne pyshp gensim && \
     conda install -y -c conda-forge spacy && python -m spacy download en && \
     python -m spacy download en_core_web_lg && \
     # The apt-get version of imagemagick is out of date and has compatibility issues, so we build from source
     apt-get -y install dbus fontconfig fontconfig-config fonts-dejavu-core fonts-droid ghostscript gsfonts hicolor-icon-theme \
-libavahi-client3 libavahi-common-data libavahi-common3 libcairo2 libcap-ng0 libcroco3 \
-libcups2 libcupsfilters1 libcupsimage2 libdatrie1 libdbus-1-3 libdjvulibre-text libdjvulibre21 libfftw3-double3 libfontconfig1 \
-libfreetype6 libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-common libgomp1 libgraphite2-3 libgs9 libgs9-common libharfbuzz0b libijs-0.35 \
-libilmbase6 libjasper1 libjbig0 libjbig2dec0 libjpeg62-turbo liblcms2-2 liblqr-1-0 libltdl7 libmagickcore-6.q16-2 \
-libmagickcore-6.q16-2-extra libmagickwand-6.q16-2 libnetpbm10 libopenexr6 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 \
-libpaper-utils libpaper1 libpixman-1-0 libpng12-0 librsvg2-2 librsvg2-common libthai-data libthai0 libtiff5 libwmf0.2-7 \
-libxcb-render0 libxcb-shm0 netpbm poppler-data p7zip-full && \
+    libavahi-client3 libavahi-common-data libavahi-common3 libcairo2 libcap-ng0 libcroco3 \
+    libcups2 libcupsfilters1 libcupsimage2 libdatrie1 libdbus-1-3 libdjvulibre-text libdjvulibre21 libfftw3-double3 libfontconfig1 \
+    libfreetype6 libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-common libgomp1 libgraphite2-3 libgs9 libgs9-common libharfbuzz0b libijs-0.35 \
+    libilmbase6 libjasper1 libjbig0 libjbig2dec0 libjpeg62-turbo liblcms2-2 liblqr-1-0 libltdl7 libmagickcore-6.q16-2 \
+    libmagickcore-6.q16-2-extra libmagickwand-6.q16-2 libnetpbm10 libopenexr6 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 \
+    libpaper-utils libpaper1 libpixman-1-0 libpng12-0 librsvg2-2 librsvg2-common libthai-data libthai0 libtiff5 libwmf0.2-7 \
+    libxcb-render0 libxcb-shm0 netpbm poppler-data p7zip-full && \
     cd /usr/local/src && \
     wget http://transloadit.imagemagick.org/download/ImageMagick.tar.gz && \
     tar xzf ImageMagick.tar.gz && cd `ls -d ImageMagick-*` && pwd && ls -al && ./configure && \
@@ -40,19 +34,6 @@ libxcb-render0 libxcb-shm0 netpbm poppler-data p7zip-full && \
 
 # OpenCV install (from pip or source)
 RUN pip install opencv-python
-    #apt-get -y install libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev && \
-    #apt-get -y install libtbb2 libtbb-dev libjpeg-dev libtiff-dev libjasper-dev && \
-    #cd /usr/local/src && git clone --depth 1 https://github.com/Itseez/opencv.git && \
-    #cd opencv && \
-    #mkdir build && cd build && \
-    #cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D WITH_TBB=ON -D WITH_FFMPEG=OFF -D WITH_V4L=ON -D WITH_QT=OFF -D WITH_OPENGL=ON -D PYTHON3_LIBRARY=/opt/conda/lib/libpython3.6m.so -D PYTHON3_INCLUDE_DIR=/opt/conda/include/python3.6m/ -D PYTHON_LIBRARY=/opt/conda/lib/libpython3.6m.so -D PYTHON_INCLUDE_DIR=/opt/conda/include/python3.6m/ -D BUILD_PNG=TRUE .. && \
-    #make -j $(nproc) && make install && \
-    #echo "/usr/local/lib/python3.6/site-packages" > /etc/ld.so.conf.d/opencv.conf && ldconfig && \
-    #cp /usr/local/lib/python3.6/site-packages/cv2.cpython-36m-x86_64-linux-gnu.so /opt/conda/lib/python3.6/site-packages/ && \
-    # Clean up install cruft
-    #rm -rf /usr/local/src/opencv && \
-    #rm -rf /root/.cache/pip/* && \
-    #apt-get autoremove -y && apt-get clean
 
 RUN apt-get update && apt-get install -y python-software-properties zip && \
     echo "deb http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list && \
@@ -67,8 +48,11 @@ RUN apt-get update && apt-get install -y python-software-properties zip && \
     apt-get update && apt-get install -y bazel && \
     apt-get upgrade -y bazel
 
-# Tensorflow source build
-RUN cd /usr/local/src && \
+# Tensorflow
+# Temp fixes: Downgrade python 3.7->3.6.6 and downgrade Pandas 0.23.3->0.23.2
+RUN conda install -y python=3.6.6 && \
+    pip install pandas==0.23.2 && \
+    cd /usr/local/src && \
     git clone https://github.com/tensorflow/tensorflow && \
     cd tensorflow && \
     cat /dev/null | ./configure && \
@@ -132,18 +116,18 @@ RUN apt-get install -y libfreetype6-dev && \
     # the corpuses that work
     python -m nltk.downloader -d /usr/share/nltk_data abc alpino averaged_perceptron_tagger \
     basque_grammars biocreative_ppi bllip_wsj_no_aux \
-book_grammars brown brown_tei cess_cat cess_esp chat80 city_database cmudict \
-comtrans conll2000 conll2002 conll2007 crubadan dependency_treebank \
-europarl_raw floresta gazetteers genesis gutenberg \
-ieer inaugural indian jeita kimmo knbc large_grammars lin_thesaurus mac_morpho machado \
-masc_tagged maxent_ne_chunker maxent_treebank_pos_tagger moses_sample movie_reviews \
-mte_teip5 names nps_chat omw opinion_lexicon paradigms \
-pil pl196x porter_test ppattach problem_reports product_reviews_1 product_reviews_2 propbank \
-pros_cons ptb punkt qc reuters rslp rte sample_grammars semcor senseval sentence_polarity \
-sentiwordnet shakespeare sinica_treebank smultron snowball_data spanish_grammars \
-state_union stopwords subjectivity swadesh switchboard tagsets timit toolbox treebank \
-twitter_samples udhr2 udhr unicode_samples universal_tagset universal_treebanks_v20 \
-vader_lexicon verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe && \
+    book_grammars brown brown_tei cess_cat cess_esp chat80 city_database cmudict \
+    comtrans conll2000 conll2002 conll2007 crubadan dependency_treebank \
+    europarl_raw floresta gazetteers genesis gutenberg \
+    ieer inaugural indian jeita kimmo knbc large_grammars lin_thesaurus mac_morpho machado \
+    masc_tagged maxent_ne_chunker maxent_treebank_pos_tagger moses_sample movie_reviews \
+    mte_teip5 names nps_chat omw opinion_lexicon paradigms \
+    pil pl196x porter_test ppattach problem_reports product_reviews_1 product_reviews_2 propbank \
+    pros_cons ptb punkt qc reuters rslp rte sample_grammars semcor senseval sentence_polarity \
+    sentiwordnet shakespeare sinica_treebank smultron snowball_data spanish_grammars \
+    state_union stopwords subjectivity swadesh switchboard tagsets timit toolbox treebank \
+    twitter_samples udhr2 udhr unicode_samples universal_tagset universal_treebanks_v20 \
+    vader_lexicon verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe && \
     # Stop-words
     pip install stop-words && \
     # clean up
@@ -339,6 +323,8 @@ RUN cd /usr/local/src && git clone https://github.com/iskandr/fancyimpute && \
     pip install stemming && \
     conda install -y -c conda-forge fbprophet && \
     conda install -y -c conda-forge -c ioam holoviews geoviews && \
+# Temp fix : Fiona is already installed by pip and conda installs another version as a dependency for holoviews
+    conda uninstall -y fiona && \
     pip install hypertools && \
     # Nxviz has been causing an installation issue by trying unsuccessfully to remove setuptools.
     #pip install nxviz && \
@@ -488,6 +474,7 @@ RUN pip install bcolz && \
     # of all non-final lines. Thanks!
     #
     ###########
+
 RUN pip install flashtext && \
     pip install marisa-trie && \
     pip install pyemd && \
@@ -506,11 +493,12 @@ RUN pip install flashtext && \
     pip install conx && \
     pip install pandasql && \
     pip install trackml && \
-    cd /usr/local/src && git clone https://github.com/JohnLangford/vowpal_wabbit.git && ./vowpal_wabbit/python/conda_install.sh && \
     ##### ^^^^ Add new contributions above here ^^^^ #####
     # clean up pip cache
     rm -rf /root/.cache/pip/*
 
+# Pin Vowpal Wabbit v8.6.0 because 8.6.1 does not build or install successfully
+RUN cd /usr/local/src && git clone -b 8.6.0 https://github.com/JohnLangford/vowpal_wabbit.git && ./vowpal_wabbit/python/conda_install.sh
 
 # For Facets
 ENV PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/

From 460916383daa1b8c2bd94a48c0169bfc901febf8 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 1 Aug 2018 10:17:31 -0700
Subject: [PATCH 0339/1660] Workaround to build a new image with the latest
 learn tools

---
 README.md                      |  2 +-
 kaggle_tools_update.Dockerfile | 14 ++++++++++++++
 test_build.py                  |  2 ++
 3 files changed, 17 insertions(+), 1 deletion(-)
 create mode 100644 kaggle_tools_update.Dockerfile

diff --git a/README.md b/README.md
index 402eda9c..90faac2e 100644
--- a/README.md
+++ b/README.md
@@ -51,7 +51,7 @@ Next run the build:
 Finally run the tests:
 
 ```
-./tests
+./test
 ```
 
 Then submit your pull request, and you're all set!
diff --git a/kaggle_tools_update.Dockerfile b/kaggle_tools_update.Dockerfile
new file mode 100644
index 00000000..375f5884
--- /dev/null
+++ b/kaggle_tools_update.Dockerfile
@@ -0,0 +1,14 @@
+# This Dockerfile is a temporary solution to unblock the 
+# community team by updating their library latest using
+# the latest python image.
+# This is needed until we resolved the issues with the
+# main build.
+
+# Usage:
+#   docker build --rm -t kaggle/python-build -f kaggle_tools_update.Dockerfile .
+#   ./test
+#   ./push (if tests are passing)
+
+FROM gcr.io/kaggle-images/python:latest
+
+RUN pip install git+https://github.com/Kaggle/learntools
diff --git a/test_build.py b/test_build.py
index 416e3c25..44bb5861 100644
--- a/test_build.py
+++ b/test_build.py
@@ -15,6 +15,8 @@
 from keras.optimizers import SGD
 print("Keras ok")
 
+# Test learntools
+
 # PyTorch smoke test based on http://pytorch.org/tutorials/beginner/nlp/deep_learning_tutorial.html
 import torch
 import torch.nn as tnn

From 29bff4ff33181b447808bce1deecd31cade63d94 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 1 Aug 2018 10:30:36 -0700
Subject: [PATCH 0340/1660] add learntools test

---
 test_build.py | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/test_build.py b/test_build.py
index 44bb5861..5c57afde 100644
--- a/test_build.py
+++ b/test_build.py
@@ -15,7 +15,11 @@
 from keras.optimizers import SGD
 print("Keras ok")
 
-# Test learntools
+# Test Kaggle learntools
+from learntools.core import binder; binder.bind(globals())
+from learntools.python.ex1 import *
+color="blue"
+q0.check()
 
 # PyTorch smoke test based on http://pytorch.org/tutorials/beginner/nlp/deep_learning_tutorial.html
 import torch

From 7ac2658b9d5abd7ea98002eb78b6f5080446ed8f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 1 Aug 2018 10:34:43 -0700
Subject: [PATCH 0341/1660] Add print statement to test

---
 test_build.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/test_build.py b/test_build.py
index 5c57afde..52d88f33 100644
--- a/test_build.py
+++ b/test_build.py
@@ -20,6 +20,7 @@
 from learntools.python.ex1 import *
 color="blue"
 q0.check()
+print("learntools ok")
 
 # PyTorch smoke test based on http://pytorch.org/tutorials/beginner/nlp/deep_learning_tutorial.html
 import torch

From c65e1de5c1c17e25798f6495d5ffdce4905eba08 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 1 Aug 2018 11:26:21 -0700
Subject: [PATCH 0342/1660] Addressed comments

---
 kaggle_tools_update.Dockerfile | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/kaggle_tools_update.Dockerfile b/kaggle_tools_update.Dockerfile
index 375f5884..970fdf9d 100644
--- a/kaggle_tools_update.Dockerfile
+++ b/kaggle_tools_update.Dockerfile
@@ -1,14 +1,14 @@
 # This Dockerfile is a temporary solution to unblock the 
-# community team by updating their library latest using
+# Kaggle team by updating their library latest using
 # the latest python image.
 # This is needed until we resolved the issues with the
 # main build.
 
 # Usage:
-#   docker build --rm -t kaggle/python-build -f kaggle_tools_update.Dockerfile .
+#   docker build --pull --rm -t kaggle/python-build -f kaggle_tools_update.Dockerfile .
 #   ./test
 #   ./push (if tests are passing)
 
 FROM gcr.io/kaggle-images/python:latest
 
-RUN pip install git+https://github.com/Kaggle/learntools
+RUN pip install --upgrade git+https://github.com/Kaggle/learntools

From 2c38297fff17e8331c831798690ca0b6c3efb835 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 1 Aug 2018 15:21:24 -0700
Subject: [PATCH 0343/1660] addressed feedback

---
 kaggle_tools_update.Dockerfile | 15 +++++++++------
 1 file changed, 9 insertions(+), 6 deletions(-)

diff --git a/kaggle_tools_update.Dockerfile b/kaggle_tools_update.Dockerfile
index 970fdf9d..6dadda9a 100644
--- a/kaggle_tools_update.Dockerfile
+++ b/kaggle_tools_update.Dockerfile
@@ -1,11 +1,14 @@
-# This Dockerfile is a temporary solution to unblock the 
-# Kaggle team by updating their library latest using
-# the latest python image.
-# This is needed until we resolved the issues with the
-# main build.
+# This Dockerfile is a temporary solution until we
+# resolved the broken main build.
+
+# This Dockerfile creates a new image based on our
+# current published python image with the latest
+# version of the LearnTools library to allow us
+# to release new Learn content.
 
 # Usage:
-#   docker build --pull --rm -t kaggle/python-build -f kaggle_tools_update.Dockerfile .
+#   docker rmi gcr.io/kaggle-images/python:latest
+#   docker build --rm -t kaggle/python-build -f kaggle_tools_update.Dockerfile .
 #   ./test
 #   ./push (if tests are passing)
 

From 4d4487e6b69a58b915ea0aa3876e5cf393b52328 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 1 Aug 2018 15:56:08 -0700
Subject: [PATCH 0344/1660] setup pip for internet access

---
 kaggle_tools_update.Dockerfile | 10 +++++++++-
 1 file changed, 9 insertions(+), 1 deletion(-)

diff --git a/kaggle_tools_update.Dockerfile b/kaggle_tools_update.Dockerfile
index 6dadda9a..b1bd79db 100644
--- a/kaggle_tools_update.Dockerfile
+++ b/kaggle_tools_update.Dockerfile
@@ -4,7 +4,9 @@
 # This Dockerfile creates a new image based on our
 # current published python image with the latest
 # version of the LearnTools library to allow us
-# to release new Learn content.
+# to release new Learn content. It also configures
+# pip to work out-of-the-box when internet access
+# is enabled.
 
 # Usage:
 #   docker rmi gcr.io/kaggle-images/python:latest
@@ -15,3 +17,9 @@
 FROM gcr.io/kaggle-images/python:latest
 
 RUN pip install --upgrade git+https://github.com/Kaggle/learntools
+
+# Set up pip to enable pip install.
+ADD patches/kaggle_bashrc /root
+# Patch the system-wide bashrc file for non-root users.
+RUN cat /root/kaggle_bashrc >> /etc/bash.bashrc
+RUN rm /root/kaggle_bashrc

From cddee841c94fe5bb1d953422d91988046ee21590 Mon Sep 17 00:00:00 2001
From: d1jang <dsjang@google.com>
Date: Thu, 2 Aug 2018 13:06:45 -0700
Subject: [PATCH 0345/1660] Add ENTRYPOINT script to initialize the image.

---
 Dockerfile                               | 10 +++++-----
 kaggle_tools_update.Dockerfile           | 10 +++++-----
 patches/{kaggle_bashrc => entrypoint.sh} | 13 +++++++++----
 3 files changed, 19 insertions(+), 14 deletions(-)
 rename patches/{kaggle_bashrc => entrypoint.sh} (79%)

diff --git a/Dockerfile b/Dockerfile
index cbbec9f9..27a7fa89 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -523,11 +523,11 @@ ADD patches/sitecustomize.py /root/.local/lib/python3.6/site-packages/sitecustom
 # Set backend for matplotlib
 ENV MPLBACKEND "agg"
 
-# Set up pip to enable pip install.
-ADD patches/kaggle_bashrc /root
-# Patch the system-wide bashrc file for non-root users.
-RUN cat /root/kaggle_bashrc >> /etc/bash.bashrc
-RUN rm /root/kaggle_bashrc
+# Set up an initialization script to be executed before any other commands initiated by the user.
+ADD patches/entrypoint.sh /root/entrypoint.sh
+RUN chmod +x /root/entrypoint.sh
+# This script gets executed by "docker run <image> <command>" and it runs <command> at the end of its execution. 
+ENTRYPOINT ["/root/entrypoint.sh"]
 
 # Finally, apply any locally defined patches.
 RUN /bin/bash -c \
diff --git a/kaggle_tools_update.Dockerfile b/kaggle_tools_update.Dockerfile
index b1bd79db..79e18812 100644
--- a/kaggle_tools_update.Dockerfile
+++ b/kaggle_tools_update.Dockerfile
@@ -18,8 +18,8 @@ FROM gcr.io/kaggle-images/python:latest
 
 RUN pip install --upgrade git+https://github.com/Kaggle/learntools
 
-# Set up pip to enable pip install.
-ADD patches/kaggle_bashrc /root
-# Patch the system-wide bashrc file for non-root users.
-RUN cat /root/kaggle_bashrc >> /etc/bash.bashrc
-RUN rm /root/kaggle_bashrc
+# Set up an initialization script to be executed before any other commands initiated by the user.
+ADD patches/entrypoint.sh /root/entrypoint.sh
+RUN chmod +x /root/entrypoint.sh
+# This script gets executed by "docker run <image> <command>" and it runs <command> at the end of its execution. 
+ENTRYPOINT ["/root/entrypoint.sh"]
\ No newline at end of file
diff --git a/patches/kaggle_bashrc b/patches/entrypoint.sh
similarity index 79%
rename from patches/kaggle_bashrc
rename to patches/entrypoint.sh
index b19e2748..98d4d968 100644
--- a/patches/kaggle_bashrc
+++ b/patches/entrypoint.sh
@@ -1,9 +1,11 @@
+#!/usr/bin/env bash
+
+# This shell script is executed as an entrypoint file for the Kernels docker image.
+# It sets up the execution environment before starting the Jypyter Notebook Server.
+# Refer to https://docs.docker.com/engine/reference/builder/#entrypoint for details.
 
-# Kaggle-specific .bashrc script to be appended to /etc/bash.bashrc to apply it
-# when any user session starts.
 # This script sets up pip to enable a user to install and use python modules via
 # pip intall. $KAGGLE_WORKING_DIR should be available for it to work.
-
 if [[ ! -z "${KAGGLE_WORKING_DIR}" ]]; then
     PIP_INSTALL_PREFIX_DIR="${KAGGLE_WORKING_DIR}/pip"
     PIP_CONFIG_FILE_PATH="${KAGGLE_WORKING_DIR}/config/pip/pip.conf"
@@ -28,4 +30,7 @@ if [[ ! -z "${KAGGLE_WORKING_DIR}" ]]; then
 
     # Include pip-installed binaries in PATH.
     export PATH=${PATH}:${PIP_INSTALL_PREFIX_DIR}/bin
-fi
\ No newline at end of file
+fi
+
+# Execute the command provided from "docker run" in the current process.
+exec "$@"
\ No newline at end of file

From 810893186d9adafb0367ecbdb78e8d00042a02a6 Mon Sep 17 00:00:00 2001
From: d1jang <dsjang@google.com>
Date: Thu, 2 Aug 2018 16:16:13 -0700
Subject: [PATCH 0346/1660] use echo -e to print newlines correctly.

---
 patches/entrypoint.sh | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/patches/entrypoint.sh b/patches/entrypoint.sh
index 98d4d968..12c0305c 100644
--- a/patches/entrypoint.sh
+++ b/patches/entrypoint.sh
@@ -17,7 +17,7 @@ if [[ ! -z "${KAGGLE_WORKING_DIR}" ]]; then
     # installation. Also, ignore-installed is set to true to prevent pip
     # from trying to remove existing modules from the read-only filesystem.
     mkdir -p `dirname ${PIP_CONFIG_FILE_PATH}`
-    echo "[install]\nprefix=${PIP_INSTALL_PREFIX_DIR}\nignore-installed=true" > ${PIP_CONFIG_FILE_PATH}
+    echo -e "[install]\nprefix=${PIP_INSTALL_PREFIX_DIR}\nignore-installed=true" > ${PIP_CONFIG_FILE_PATH}
     # Instruct pip to use this config file.
     export PIP_CONFIG_FILE=${PIP_CONFIG_FILE_PATH}
 

From b404a22087732795f486e8025ecfc589cc66ecf4 Mon Sep 17 00:00:00 2001
From: d1jang <dsjang@google.com>
Date: Thu, 2 Aug 2018 16:20:36 -0700
Subject: [PATCH 0347/1660] add comment.

---
 kaggle_tools_update.Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/kaggle_tools_update.Dockerfile b/kaggle_tools_update.Dockerfile
index 79e18812..752c5567 100644
--- a/kaggle_tools_update.Dockerfile
+++ b/kaggle_tools_update.Dockerfile
@@ -18,6 +18,8 @@ FROM gcr.io/kaggle-images/python:latest
 
 RUN pip install --upgrade git+https://github.com/Kaggle/learntools
 
+# TODO(dsjang): Remove these lines once the docker image build turns green since they are copied from Dockerfile
+# to apply on top of the last green.
 # Set up an initialization script to be executed before any other commands initiated by the user.
 ADD patches/entrypoint.sh /root/entrypoint.sh
 RUN chmod +x /root/entrypoint.sh

From dfbe82ee4f83f76742bf0897ec932ea2246720a0 Mon Sep 17 00:00:00 2001
From: d1jang <dsjang@google.com>
Date: Thu, 2 Aug 2018 17:41:33 -0700
Subject: [PATCH 0348/1660] Add a custom ENTRYPOINT on top of the existing
 ENTRYPOINT.
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

When a docker run runs with this change, it's running under tini as follows:

root@byod-test-x1qm:/home/kaggle_admin/tmp# docker ps
CONTAINER ID        IMAGE                 COMMAND                  CREATED             STATUS              PORTS               NAMES
955c97d95ebd        kaggle/python-build   "/usr/bin/tini -- /r…"   5 minutes ago       Up 5 minutes                            hungry_ritchie
root@byod-test-x1qm:/home/kaggle_admin/tmp#
---
 Dockerfile                     | 6 ++++--
 kaggle_tools_update.Dockerfile | 6 ++++--
 2 files changed, 8 insertions(+), 4 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 27a7fa89..afb36544 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -526,8 +526,10 @@ ENV MPLBACKEND "agg"
 # Set up an initialization script to be executed before any other commands initiated by the user.
 ADD patches/entrypoint.sh /root/entrypoint.sh
 RUN chmod +x /root/entrypoint.sh
-# This script gets executed by "docker run <image> <command>" and it runs <command> at the end of its execution. 
-ENTRYPOINT ["/root/entrypoint.sh"]
+# This script gets executed by "docker run <image> <command>" and it runs <command> at the end of its execution.
+# NOTE: ENTRYPOINT set by "FROM <image>" should preceed the our own custom entrypoint.
+# Specifically, tini can be combined with another entrypoint (https://github.com/krallin/tini).   
+ENTRYPOINT ["/usr/bin/tini", "--", "/root/entrypoint.sh"]
 
 # Finally, apply any locally defined patches.
 RUN /bin/bash -c \
diff --git a/kaggle_tools_update.Dockerfile b/kaggle_tools_update.Dockerfile
index 752c5567..e6f6dabe 100644
--- a/kaggle_tools_update.Dockerfile
+++ b/kaggle_tools_update.Dockerfile
@@ -23,5 +23,7 @@ RUN pip install --upgrade git+https://github.com/Kaggle/learntools
 # Set up an initialization script to be executed before any other commands initiated by the user.
 ADD patches/entrypoint.sh /root/entrypoint.sh
 RUN chmod +x /root/entrypoint.sh
-# This script gets executed by "docker run <image> <command>" and it runs <command> at the end of its execution. 
-ENTRYPOINT ["/root/entrypoint.sh"]
\ No newline at end of file
+# This script gets executed by "docker run <image> <command>" and it runs <command> at the end of its execution.
+# NOTE: ENTRYPOINT set by "FROM <image>" should preceed the our own custom entrypoint.
+# Specifically, tini can be combined with another entrypoint (https://github.com/krallin/tini).   
+ENTRYPOINT ["/usr/bin/tini", "--", "/root/entrypoint.sh"]
\ No newline at end of file

From 6f8d681dbbd2709af002de4d2e72d7f532709957 Mon Sep 17 00:00:00 2001
From: d1jang <dsjang@google.com>
Date: Thu, 2 Aug 2018 17:50:29 -0700
Subject: [PATCH 0349/1660] Add a safety check for tini.

---
 Dockerfile                     | 6 ++++--
 kaggle_tools_update.Dockerfile | 6 ++++--
 2 files changed, 8 insertions(+), 4 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index afb36544..fdcb1d9c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -526,9 +526,11 @@ ENV MPLBACKEND "agg"
 # Set up an initialization script to be executed before any other commands initiated by the user.
 ADD patches/entrypoint.sh /root/entrypoint.sh
 RUN chmod +x /root/entrypoint.sh
-# This script gets executed by "docker run <image> <command>" and it runs <command> at the end of its execution.
 # NOTE: ENTRYPOINT set by "FROM <image>" should preceed the our own custom entrypoint.
-# Specifically, tini can be combined with another entrypoint (https://github.com/krallin/tini).   
+# Currently tini is set as ENTRYPOINT for the base image, and it can be combined with our entrypoint (https://github.com/krallin/tini).
+# ENTRYPOINT gets executed by "docker run <image> <command>" and it runs <command> at the end of its execution.
+# Make sure tini exists.
+RUN /usr/bin/tini -h
 ENTRYPOINT ["/usr/bin/tini", "--", "/root/entrypoint.sh"]
 
 # Finally, apply any locally defined patches.
diff --git a/kaggle_tools_update.Dockerfile b/kaggle_tools_update.Dockerfile
index e6f6dabe..46f143f4 100644
--- a/kaggle_tools_update.Dockerfile
+++ b/kaggle_tools_update.Dockerfile
@@ -23,7 +23,9 @@ RUN pip install --upgrade git+https://github.com/Kaggle/learntools
 # Set up an initialization script to be executed before any other commands initiated by the user.
 ADD patches/entrypoint.sh /root/entrypoint.sh
 RUN chmod +x /root/entrypoint.sh
-# This script gets executed by "docker run <image> <command>" and it runs <command> at the end of its execution.
 # NOTE: ENTRYPOINT set by "FROM <image>" should preceed the our own custom entrypoint.
-# Specifically, tini can be combined with another entrypoint (https://github.com/krallin/tini).   
+# Currently tini is set as ENTRYPOINT for the base image, and it can be combined with our entrypoint (https://github.com/krallin/tini).
+# ENTRYPOINT gets executed by "docker run <image> <command>" and it runs <command> at the end of its execution.
+# Make sure tini exists.
+RUN /usr/bin/tini -h
 ENTRYPOINT ["/usr/bin/tini", "--", "/root/entrypoint.sh"]
\ No newline at end of file

From 1426423ed4fff17e5dbf31d9d98ee2230232f999 Mon Sep 17 00:00:00 2001
From: d1jang <dsjang@google.com>
Date: Thu, 2 Aug 2018 17:54:38 -0700
Subject: [PATCH 0350/1660] suppress output from the check.

---
 Dockerfile                     | 2 +-
 kaggle_tools_update.Dockerfile | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index fdcb1d9c..ac7339b9 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -530,7 +530,7 @@ RUN chmod +x /root/entrypoint.sh
 # Currently tini is set as ENTRYPOINT for the base image, and it can be combined with our entrypoint (https://github.com/krallin/tini).
 # ENTRYPOINT gets executed by "docker run <image> <command>" and it runs <command> at the end of its execution.
 # Make sure tini exists.
-RUN /usr/bin/tini -h
+RUN /usr/bin/tini -h > /dev/null
 ENTRYPOINT ["/usr/bin/tini", "--", "/root/entrypoint.sh"]
 
 # Finally, apply any locally defined patches.
diff --git a/kaggle_tools_update.Dockerfile b/kaggle_tools_update.Dockerfile
index 46f143f4..4d9d2b86 100644
--- a/kaggle_tools_update.Dockerfile
+++ b/kaggle_tools_update.Dockerfile
@@ -27,5 +27,5 @@ RUN chmod +x /root/entrypoint.sh
 # Currently tini is set as ENTRYPOINT for the base image, and it can be combined with our entrypoint (https://github.com/krallin/tini).
 # ENTRYPOINT gets executed by "docker run <image> <command>" and it runs <command> at the end of its execution.
 # Make sure tini exists.
-RUN /usr/bin/tini -h
+RUN /usr/bin/tini -h > /dev/null
 ENTRYPOINT ["/usr/bin/tini", "--", "/root/entrypoint.sh"]
\ No newline at end of file

From a66bcee4c0ddf3415cfcb947d40c1b1485eae393 Mon Sep 17 00:00:00 2001
From: d1jang <dsjang@google.com>
Date: Fri, 3 Aug 2018 12:19:01 -0700
Subject: [PATCH 0351/1660] Create a symbolic link to pip directory

---
 patches/entrypoint.sh | 12 ++++++++++--
 1 file changed, 10 insertions(+), 2 deletions(-)

diff --git a/patches/entrypoint.sh b/patches/entrypoint.sh
index 12c0305c..f6f79765 100644
--- a/patches/entrypoint.sh
+++ b/patches/entrypoint.sh
@@ -8,6 +8,7 @@
 # pip intall. $KAGGLE_WORKING_DIR should be available for it to work.
 if [[ ! -z "${KAGGLE_WORKING_DIR}" ]]; then
     PIP_INSTALL_PREFIX_DIR="${KAGGLE_WORKING_DIR}/pip"
+    PIP_INSTALLED_MODULE_DIR="${PIP_INSTALL_PREFIX_DIR}/pip_installed"
     PIP_CONFIG_FILE_PATH="${KAGGLE_WORKING_DIR}/config/pip/pip.conf"
 
     # Create a directory for pip to install modules.
@@ -25,8 +26,15 @@ if [[ ! -z "${KAGGLE_WORKING_DIR}" ]]; then
     # Note that the pip prefix directory overrides the system default to enable
     # a user to use his/her installed one.
     # TODO(dsjang): Currently "lib/python3.6/site-packages" is hard-coded
-    # throughout Dockerfile. Parameterize it to avoid a version mismatch. 
-    export PYTHONPATH=${PIP_INSTALL_PREFIX_DIR}/lib/python3.6/site-packages:${PYTHONPATH}
+    # throughout Dockerfile. Parameterize it to avoid a version mismatch.
+    # TODO(dsjang): This is a hack to sidestep a problem of Python ignoring modules
+    # in .../site-packages other than the system-wide and user-specific site packages.
+    mkdir -p "${PIP_INSTALL_PREFIX_DIR}/lib/python3.6/site-packages"
+    ln -s "${PIP_INSTALL_PREFIX_DIR}/lib/python3.6/site-packages" ${PIP_INSTALLED_MODULE_DIR}
+    export PYTHONPATH=${PIP_INSTALLED_MODULE_DIR}:${PYTHONPATH}
+
+    # Create a symbolic link to site-packages.
+    # can't override conda installed package.
 
     # Include pip-installed binaries in PATH.
     export PATH=${PATH}:${PIP_INSTALL_PREFIX_DIR}/bin

From ab7f1a3e5382720cbdf8d00c45cef685f94ff00e Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@rosbo.c.googlers.com>
Date: Fri, 3 Aug 2018 20:13:48 +0000
Subject: [PATCH 0352/1660] Remove tornado patch

The patch was released in tornado v4.5.3. We are now pulling v5.0.2
which includes the patch already.
---
 patches/tornado-fix-issue-2097.patch | 27 ---------------------------
 1 file changed, 27 deletions(-)
 delete mode 100644 patches/tornado-fix-issue-2097.patch

diff --git a/patches/tornado-fix-issue-2097.patch b/patches/tornado-fix-issue-2097.patch
deleted file mode 100644
index f3c7a82f..00000000
--- a/patches/tornado-fix-issue-2097.patch
+++ /dev/null
@@ -1,27 +0,0 @@
-diff -Naur /base/opt/conda/pkgs/tornado-4.5.1-py36_0/lib/python3.6/site-packages/tornado/http1connection.py /patched/opt.new/conda/lib/python3.6/site-packages/tornado/http1connection.py
---- /base/opt/conda/lib/python3.6/site-packages/tornado/http1connection.py 2017-04-16 23:47:57.000000000 +0000
-+++ /patched/opt.new/conda/lib/python3.6/site-packages/tornado/http1connection.py     2017-06-28 21:18:59.902402220 +0000
-@@ -349,6 +349,11 @@
-                 # self._request_start_line.version or
-                 # start_line.version?
-                 self._request_start_line.version == 'HTTP/1.1' and
-+                # 1xx, 204 and 304 responses have no body (not even a zero-length
-+                # body), and so should not have either Content-Length or
-+                # Transfer-Encoding headers.
-+                start_line.code not in (204, 304) and
-+                (start_line.code < 100 or start_line.code >= 200) and
-                 # 304 responses have no body (not even a zero-length body), and so
-                 # should not have either Content-Length or Transfer-Encoding.
-                 # headers.
-diff -Naur /base/opt/conda/lib/python3.6/site-packages/tornado/web.py /patched/opt.new/conda/lib/python3.6/site-packages/tornado/web.py
---- /base/opt/conda/lib/python3.6/site-packages/tornado/web.py     2017-06-28 21:22:56.505186743 +0000
-+++ /patched/opt.new/conda/lib/python3.6/site-packages/tornado/web.py 2017-06-28 21:22:48.421228255 +0000
-@@ -977,7 +977,8 @@
-             if self._status_code in (204, 304):
-                 assert not self._write_buffer, "Cannot send body with %s" % self._status_code
-                 self._clear_headers_for_304()
--            elif "Content-Length" not in self._headers:
-+            elif ("Content-Length" not in self._headers and
-+                  (self._status_code < 100 or self._status_code >= 200)):
-                 content_length = sum(len(part) for part in self._write_buffer)
-                 self.set_header("Content-Length", content_length)

From b82e854111bca5316b8027eecbae502b4c078629 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 7 Aug 2018 13:00:44 -0700
Subject: [PATCH 0353/1660] remove patching mecanism

---
 Dockerfile | 4 ----
 1 file changed, 4 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index ac7339b9..95d88360 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -532,7 +532,3 @@ RUN chmod +x /root/entrypoint.sh
 # Make sure tini exists.
 RUN /usr/bin/tini -h > /dev/null
 ENTRYPOINT ["/usr/bin/tini", "--", "/root/entrypoint.sh"]
-
-# Finally, apply any locally defined patches.
-RUN /bin/bash -c \
-    "cd / && for p in $(ls /tmp/patches/*.patch); do echo '= Applying patch '\${p}; patch -p2 < \${p}; done"

From fc690383de8b501135df21c043f3d4c184f61e75 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 8 Aug 2018 10:18:58 -0700
Subject: [PATCH 0354/1660] Simplify build script by using the --pull flag.

With the --pull flag, it always attempt to pull a newer version of the image
---
 build | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/build b/build
index 642cc268..d3f34959 100755
--- a/build
+++ b/build
@@ -6,6 +6,5 @@ set -e
 if [[ "$1" ==  "--use-cache" ]]; then
     docker build --rm -t kaggle/python-build .
 else
-    docker pull continuumio/anaconda3:latest
-    docker build --rm --no-cache -t kaggle/python-build .
+    docker build --pull --rm --no-cache -t kaggle/python-build .
 fi

From 3b64add9f7d5b29a53d36130b51f7a7502f6f987 Mon Sep 17 00:00:00 2001
From: d1jang <dsjang@google.com>
Date: Fri, 10 Aug 2018 11:05:27 -0700
Subject: [PATCH 0355/1660] Delete pip install support script & use a manual
 tag for update dockerfile.

---
 Dockerfile                     | 12 +---------
 kaggle_tools_update.Dockerfile | 19 ++++-----------
 patches/entrypoint.sh          | 44 ----------------------------------
 3 files changed, 5 insertions(+), 70 deletions(-)
 delete mode 100644 patches/entrypoint.sh

diff --git a/Dockerfile b/Dockerfile
index 95d88360..2c8a70b6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -521,14 +521,4 @@ ENV PYTHONUSERBASE "/root/.local"
 ADD patches/sitecustomize.py /root/.local/lib/python3.6/site-packages/sitecustomize.py
 
 # Set backend for matplotlib
-ENV MPLBACKEND "agg"
-
-# Set up an initialization script to be executed before any other commands initiated by the user.
-ADD patches/entrypoint.sh /root/entrypoint.sh
-RUN chmod +x /root/entrypoint.sh
-# NOTE: ENTRYPOINT set by "FROM <image>" should preceed the our own custom entrypoint.
-# Currently tini is set as ENTRYPOINT for the base image, and it can be combined with our entrypoint (https://github.com/krallin/tini).
-# ENTRYPOINT gets executed by "docker run <image> <command>" and it runs <command> at the end of its execution.
-# Make sure tini exists.
-RUN /usr/bin/tini -h > /dev/null
-ENTRYPOINT ["/usr/bin/tini", "--", "/root/entrypoint.sh"]
+ENV MPLBACKEND "agg"
\ No newline at end of file
diff --git a/kaggle_tools_update.Dockerfile b/kaggle_tools_update.Dockerfile
index 4d9d2b86..8f7fac20 100644
--- a/kaggle_tools_update.Dockerfile
+++ b/kaggle_tools_update.Dockerfile
@@ -9,23 +9,12 @@
 # is enabled.
 
 # Usage:
-#   docker rmi gcr.io/kaggle-images/python:latest
+#   docker rmi gcr.io/kaggle-images/python:pinned
 #   docker build --rm -t kaggle/python-build -f kaggle_tools_update.Dockerfile .
 #   ./test
 #   ./push (if tests are passing)
 
-FROM gcr.io/kaggle-images/python:latest
+# Pull the last build manually tagged as "pinned". 
+FROM gcr.io/kaggle-images/python:pinned
 
-RUN pip install --upgrade git+https://github.com/Kaggle/learntools
-
-# TODO(dsjang): Remove these lines once the docker image build turns green since they are copied from Dockerfile
-# to apply on top of the last green.
-# Set up an initialization script to be executed before any other commands initiated by the user.
-ADD patches/entrypoint.sh /root/entrypoint.sh
-RUN chmod +x /root/entrypoint.sh
-# NOTE: ENTRYPOINT set by "FROM <image>" should preceed the our own custom entrypoint.
-# Currently tini is set as ENTRYPOINT for the base image, and it can be combined with our entrypoint (https://github.com/krallin/tini).
-# ENTRYPOINT gets executed by "docker run <image> <command>" and it runs <command> at the end of its execution.
-# Make sure tini exists.
-RUN /usr/bin/tini -h > /dev/null
-ENTRYPOINT ["/usr/bin/tini", "--", "/root/entrypoint.sh"]
\ No newline at end of file
+RUN pip install --upgrade git+https://github.com/Kaggle/learntools
\ No newline at end of file
diff --git a/patches/entrypoint.sh b/patches/entrypoint.sh
deleted file mode 100644
index f6f79765..00000000
--- a/patches/entrypoint.sh
+++ /dev/null
@@ -1,44 +0,0 @@
-#!/usr/bin/env bash
-
-# This shell script is executed as an entrypoint file for the Kernels docker image.
-# It sets up the execution environment before starting the Jypyter Notebook Server.
-# Refer to https://docs.docker.com/engine/reference/builder/#entrypoint for details.
-
-# This script sets up pip to enable a user to install and use python modules via
-# pip intall. $KAGGLE_WORKING_DIR should be available for it to work.
-if [[ ! -z "${KAGGLE_WORKING_DIR}" ]]; then
-    PIP_INSTALL_PREFIX_DIR="${KAGGLE_WORKING_DIR}/pip"
-    PIP_INSTALLED_MODULE_DIR="${PIP_INSTALL_PREFIX_DIR}/pip_installed"
-    PIP_CONFIG_FILE_PATH="${KAGGLE_WORKING_DIR}/config/pip/pip.conf"
-
-    # Create a directory for pip to install modules.
-    mkdir -p ${PIP_INSTALL_PREFIX_DIR}
-
-    # Create pip config file to use the prefix directory created above for
-    # installation. Also, ignore-installed is set to true to prevent pip
-    # from trying to remove existing modules from the read-only filesystem.
-    mkdir -p `dirname ${PIP_CONFIG_FILE_PATH}`
-    echo -e "[install]\nprefix=${PIP_INSTALL_PREFIX_DIR}\nignore-installed=true" > ${PIP_CONFIG_FILE_PATH}
-    # Instruct pip to use this config file.
-    export PIP_CONFIG_FILE=${PIP_CONFIG_FILE_PATH}
-
-    # Set up PYTHONPATH correctly to include the user-installed library.
-    # Note that the pip prefix directory overrides the system default to enable
-    # a user to use his/her installed one.
-    # TODO(dsjang): Currently "lib/python3.6/site-packages" is hard-coded
-    # throughout Dockerfile. Parameterize it to avoid a version mismatch.
-    # TODO(dsjang): This is a hack to sidestep a problem of Python ignoring modules
-    # in .../site-packages other than the system-wide and user-specific site packages.
-    mkdir -p "${PIP_INSTALL_PREFIX_DIR}/lib/python3.6/site-packages"
-    ln -s "${PIP_INSTALL_PREFIX_DIR}/lib/python3.6/site-packages" ${PIP_INSTALLED_MODULE_DIR}
-    export PYTHONPATH=${PIP_INSTALLED_MODULE_DIR}:${PYTHONPATH}
-
-    # Create a symbolic link to site-packages.
-    # can't override conda installed package.
-
-    # Include pip-installed binaries in PATH.
-    export PATH=${PATH}:${PIP_INSTALL_PREFIX_DIR}/bin
-fi
-
-# Execute the command provided from "docker run" in the current process.
-exec "$@"
\ No newline at end of file

From dcb594f2fe32e101b010e540ea6299c89f753ee2 Mon Sep 17 00:00:00 2001
From: Chris Crawford <crawforc3@gmail.com>
Date: Fri, 10 Aug 2018 21:22:25 +0000
Subject: [PATCH 0356/1660] Install keras_applications before tensorflow

---
 Dockerfile | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 95d88360..452e5d0c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -49,9 +49,12 @@ RUN apt-get update && apt-get install -y python-software-properties zip && \
     apt-get upgrade -y bazel
 
 # Tensorflow
-# Temp fixes: Downgrade python 3.7->3.6.6 and downgrade Pandas 0.23.3->0.23.2
+# Fix to install tf 1.10:: Downgrade python 3.7->3.6.6 and downgrade Pandas 0.23.3->0.23.2
 RUN conda install -y python=3.6.6 && \
     pip install pandas==0.23.2 && \
+# Another fix for TF 1.10 https://github.com/tensorflow/tensorflow/issues/21518
+    pip install keras_applications==1.0.4 --no-deps && \
+    pip install keras_preprocessing==1.0.2 --no-deps && \
     cd /usr/local/src && \
     git clone https://github.com/tensorflow/tensorflow && \
     cd tensorflow && \

From 58b7c82d809d37b9f8c66fec3142314f200ecf08 Mon Sep 17 00:00:00 2001
From: Chris Crawford <crawforc3@gmail.com>
Date: Fri, 10 Aug 2018 21:59:09 +0000
Subject: [PATCH 0357/1660] change install method for fancyimpute

---
 Dockerfile | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 452e5d0c..1e272503 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -298,9 +298,7 @@ RUN pip install --upgrade mpld3 && \
     conda install -y ecos && \
     conda install -y CVXcanon
 
-RUN cd /usr/local/src && git clone https://github.com/iskandr/fancyimpute && \
-    cd fancyimpute && \
-    python setup.py install && \
+RUN pip install fancyimpute && \
     pip install git+https://github.com/pymc-devs/pymc3 && \
     pip install tifffile && \
     pip install spectral && \

From 520b1c27fd706a7a04874c4e9e1b304317383c76 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@rosbo.c.googlers.com>
Date: Sat, 11 Aug 2018 00:43:55 +0000
Subject: [PATCH 0358/1660] Refactor test and improve coverage

---
 test                       |  13 ++-
 test_build.py              | 167 -------------------------------------
 tests/data/dot.png         | Bin 0 -> 150 bytes
 tests/data/text.txt        |   1 +
 tests/data/train.csv       |  20 +++++
 tests/test_bigquery.py     |  38 +++++++++
 tests/test_bokeh.py        |   7 ++
 tests/test_essentia.py     |   7 ++
 tests/test_fastai.py       |   9 ++
 tests/test_fasttext.py     |   9 ++
 tests/test_keras.py        |  25 ++++++
 tests/test_kmapper.py      |   7 ++
 tests/test_learntools.py   |   9 ++
 tests/test_matplotlib.py   |  18 ++++
 tests/test_nltk.py         |   9 ++
 tests/test_numpy.py        |  16 ++++
 tests/test_opencv.py       |   9 ++
 tests/test_pandas.py       |   9 ++
 tests/test_plotly.py       |   9 ++
 tests/test_pyfasttext.py   |   9 ++
 tests/test_pytorch.py      |  13 +++
 tests/test_seaborn.py      |   7 ++
 tests/test_shap.py         |   7 ++
 tests/test_skimage.py      |   8 ++
 tests/test_sklearn.py      |  18 ++++
 tests/test_tensorflow.py   |  12 +++
 tests/test_theano.py       |  20 +++++
 tests/test_vowpalwabbit.py |  10 +++
 tests/test_wordbatch.py    |  15 ++++
 tests/test_xgboost.py      |  12 +++
 tests/text_mxnet.py        |   9 ++
 31 files changed, 351 insertions(+), 171 deletions(-)
 delete mode 100644 test_build.py
 create mode 100644 tests/data/dot.png
 create mode 100644 tests/data/text.txt
 create mode 100644 tests/data/train.csv
 create mode 100644 tests/test_bigquery.py
 create mode 100644 tests/test_bokeh.py
 create mode 100644 tests/test_essentia.py
 create mode 100644 tests/test_fastai.py
 create mode 100644 tests/test_fasttext.py
 create mode 100644 tests/test_keras.py
 create mode 100644 tests/test_kmapper.py
 create mode 100644 tests/test_learntools.py
 create mode 100644 tests/test_matplotlib.py
 create mode 100644 tests/test_nltk.py
 create mode 100644 tests/test_numpy.py
 create mode 100644 tests/test_opencv.py
 create mode 100644 tests/test_pandas.py
 create mode 100644 tests/test_plotly.py
 create mode 100644 tests/test_pyfasttext.py
 create mode 100644 tests/test_pytorch.py
 create mode 100644 tests/test_seaborn.py
 create mode 100644 tests/test_shap.py
 create mode 100644 tests/test_skimage.py
 create mode 100644 tests/test_sklearn.py
 create mode 100644 tests/test_tensorflow.py
 create mode 100644 tests/test_theano.py
 create mode 100644 tests/test_vowpalwabbit.py
 create mode 100644 tests/test_wordbatch.py
 create mode 100644 tests/test_xgboost.py
 create mode 100644 tests/text_mxnet.py

diff --git a/test b/test
index 5de44db7..2528b6af 100755
--- a/test
+++ b/test
@@ -11,7 +11,12 @@ mkdir -p /tmp/python-build/working
 docker run -d --name=jupyter_test --read-only --net=none -e HOME=/tmp -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build jupyter notebook --allow-root --ip="*"
 sleep 3
 docker kill jupyter_test && docker rm jupyter_test
-docker run --rm -t --read-only --net=none -e HOME=/tmp -e KAGGLE_DATA_PROXY_TOKEN=test-key -e KAGGLE_DATA_PROXY_URL=http://127.0.0.1:8000 -e KAGGLE_DATA_PROXY_PROJECT=test -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build /bin/bash -c 'python /input/test_build.py'
-
-# The test_build.py script creates a plot called plot1.png; check that it exists
-[ -s /tmp/python-build/working/plot1.png ] || exit 1
+docker run --rm -t --read-only --net=none \
+    -e HOME=/tmp -e KAGGLE_DATA_PROXY_TOKEN=test-key \
+    -e KAGGLE_DATA_PROXY_URL=http://127.0.0.1:8000 \
+    -e KAGGLE_DATA_PROXY_PROJECT=test \
+    -v $PWD:/input:ro -v /tmp/python-build/working:/working \
+    -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm \
+    -w=/working \
+    kaggle/python-build \
+    /bin/bash -c 'python -m unittest discover -s /input/tests'
diff --git a/test_build.py b/test_build.py
deleted file mode 100644
index 52d88f33..00000000
--- a/test_build.py
+++ /dev/null
@@ -1,167 +0,0 @@
-# This script should run without errors whenever we update the
-# kaggle/python container. It checks that all our most popular packages can
-# be loaded and used without errors.
-
-import tensorflow as tf
-print(tf.__version__)
-hello = tf.constant('TensorFlow ok')
-sess = tf.Session()
-print(sess.run(hello))
-print("Tensorflow ok")
-
-from keras.models import Sequential
-from keras.layers.core import Dense, Dropout, Activation, Flatten
-from keras.layers.convolutional import Convolution2D, MaxPooling2D
-from keras.optimizers import SGD
-print("Keras ok")
-
-# Test Kaggle learntools
-from learntools.core import binder; binder.bind(globals())
-from learntools.python.ex1 import *
-color="blue"
-q0.check()
-print("learntools ok")
-
-# PyTorch smoke test based on http://pytorch.org/tutorials/beginner/nlp/deep_learning_tutorial.html
-import torch
-import torch.nn as tnn
-import torch.autograd as autograd
-torch.manual_seed(31337)
-linear_torch = tnn.Linear(5,3)
-data_torch = autograd.Variable(torch.randn(2, 5))
-print(linear_torch(data_torch))
-print("PyTorch ok")
-
-import fastai
-from fastai.io import get_data
-print("fast.ai ok")
-
-import numpy as np
-print("Numpy imported ok")
-print("Your lucky number is: " + str(np.random.randint(100)))
-
-# Numpy must be linked to the MKL. (Occasionally, a third-party package will muck up the installation
-# and numpy will be reinstalled with an OpenBLAS backing.)
-from numpy.distutils.system_info import get_info
-# This will throw an exception if the MKL is not linked correctly.
-get_info("blas_mkl")
-
-import pandas as pd
-print("Pandas imported ok")
-
-from sklearn import datasets
-print("sklearn imported ok")
-iris = datasets.load_iris()
-X, y = iris.data, iris.target
-
-from sklearn.ensemble import RandomForestClassifier
-rf1 = RandomForestClassifier()
-rf1.fit(X,y)
-print("sklearn RandomForestClassifier: ok")
-
-from sklearn.linear_model import LinearRegression
-boston = datasets.load_boston()
-X, y = boston.data, boston.target
-lr1 = LinearRegression()
-lr1.fit(X,y)
-print("sklearn LinearRegression: ok")
-
-from xgboost import XGBClassifier
-xgb1 = XGBClassifier(n_estimators=3)
-xgb1.fit(X[0:70],y[0:70])
-print("xgboost XGBClassifier: ok")
-
-import matplotlib.pyplot as plt
-plt.plot(np.linspace(0,1,50), np.random.rand(50))
-plt.savefig("plot1.png")
-print("matplotlib.pyplot ok")
-
-from mpl_toolkits.basemap import Basemap
-print("Basemap ok")
-
-import plotly.plotly as py
-import plotly.graph_objs as go
-print("plotly ok")
-
-import theano
-print("Theano ok")
-
-import nltk
-from nltk.stem import WordNetLemmatizer
-print("nltk ok")
-
-import cv2
-img = cv2.imread('plot1.png',0)
-print("OpenCV ok")
-
-from skimage.io import imread
-print("skimage ok")
-
-from wordbatch.extractors import WordBag
-print("wordbatch ok")
-
-import pyfasttext
-print("pyfasttext ok")
-
-import fastText
-print("fastText ok")
-
-import mxnet
-import mxnet.gluon
-print("mxnet ok")
-
-import bokeh
-print("bokeh ok")
-
-import seaborn
-print("seaborn ok")
-
-# Test BigQuery
-import os
-import threading
-from http.server import BaseHTTPRequestHandler, HTTPServer
-from google.cloud import bigquery
-HOSTNAME = "127.0.0.1"
-PORT = 8000
-URL = "http://%s:%s" % (HOSTNAME, PORT)
-fake_bq_called = False
-fake_bq_header_found = False
-class HTTPHandler(BaseHTTPRequestHandler):
-    def do_HEAD(s):
-        s.send_response(200)
-
-    def do_GET(s):
-        global fake_bq_called
-        global fake_bq_header_found
-        fake_bq_called = True
-        fake_bq_header_found = any(k for k in s.headers if k == "X-KAGGLE-PROXY-DATA" and s.headers[k] == "test-key")
-        s.send_response(200)
-
-httpd = HTTPServer((HOSTNAME, PORT), HTTPHandler)
-threading.Thread(target=httpd.serve_forever).start()
-client = bigquery.Client()
-try:
-    for ds in client.list_datasets(): pass
-except:
-    pass
-httpd.shutdown()
-assert fake_bq_called, "Fake server did not recieve a request from the BQ client."
-assert fake_bq_header_found, "X-KAGGLE-PROXY-DATA header was missing from the BQ request."
-print("bigquery proxy ok")
-
-import shap
-print("shap ok")
-
-import kmapper
-print("kmapper ok")
-
-from vowpalwabbit import pyvw
-vw = pyvw.vw(quiet=True)
-ex = vw.example('1 | a b c')
-vw.learn(ex)
-print(vw.predict(ex))
-print('vowpalwabbit ok')
-
-import essentia
-print(essentia.__version__)
-print("Essentia ok")
diff --git a/tests/data/dot.png b/tests/data/dot.png
new file mode 100644
index 0000000000000000000000000000000000000000..482df8ba39602ac729cb25528b0cc090001836e6
GIT binary patch
literal 150
zcmeAS@N?(olHy`uVBq!ia0vp^j3CUx1SBVv2j2ryoCO|{#S9GG!XV7ZFl&wkP>{XE
z)7O>#5eJu;Is3iXz?(oJ+02lL66gHf+|;}hAeVu`xhOTUBsE2$JhLQ2!QIn0AVn{g
l9VpJ@>Eal|aXmR9Apyu^VPI4@Q3ttz!PC{xWt~$(699(VAFlua

literal 0
HcmV?d00001

diff --git a/tests/data/text.txt b/tests/data/text.txt
new file mode 100644
index 00000000..80aa862f
--- /dev/null
+++ b/tests/data/text.txt
@@ -0,0 +1 @@
+Kaggle is a platform for predictive modelling and analytics competitions in which statisticians and data miners compete to produce the best models for predicting and describing the datasets uploaded by companies and users.
diff --git a/tests/data/train.csv b/tests/data/train.csv
new file mode 100644
index 00000000..229dbc7c
--- /dev/null
+++ b/tests/data/train.csv
@@ -0,0 +1,20 @@
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diff --git a/tests/test_bigquery.py b/tests/test_bigquery.py
new file mode 100644
index 00000000..cbee03ae
--- /dev/null
+++ b/tests/test_bigquery.py
@@ -0,0 +1,38 @@
+import unittest
+import os
+import threading
+
+from http.server import BaseHTTPRequestHandler, HTTPServer
+
+from google.cloud import bigquery
+
+HOSTNAME = "127.0.0.1"
+PORT = 8000
+URL = "http://%s:%s" % (HOSTNAME, PORT)
+
+class TestBigQuery(unittest.TestCase):
+    def test_proxy(self):
+        httpd = HTTPServer((HOSTNAME, PORT), HTTPHandler)
+        threading.Thread(target=httpd.serve_forever).start()
+        client = bigquery.Client()
+
+        try:
+            for ds in client.list_datasets(): pass
+        except:
+            pass
+
+        httpd.shutdown()
+        self.assertTrue(HTTPHandler.called, msg="Fake server did not recieve a request from the BQ client.")
+        self.assertTrue(HTTPHandler.header_found, msg="X-KAGGLE-PROXY-DATA header was missing from the BQ request.")
+
+class HTTPHandler(BaseHTTPRequestHandler):
+    called = False
+    header_found = False
+
+    def do_HEAD(s):
+        s.send_response(200)
+
+    def do_GET(s):
+        HTTPHandler.called = True
+        HTTPHandler.header_found = any(k for k in s.headers if k == "X-KAGGLE-PROXY-DATA" and s.headers[k] == "test-key")
+        s.send_response(200)
diff --git a/tests/test_bokeh.py b/tests/test_bokeh.py
new file mode 100644
index 00000000..1b186814
--- /dev/null
+++ b/tests/test_bokeh.py
@@ -0,0 +1,7 @@
+import unittest
+
+from bokeh.plotting import figure
+
+class TestBokeh(unittest.TestCase):
+    def test_figure(self):
+        figure(title="Hello World")
diff --git a/tests/test_essentia.py b/tests/test_essentia.py
new file mode 100644
index 00000000..749b9466
--- /dev/null
+++ b/tests/test_essentia.py
@@ -0,0 +1,7 @@
+import unittest
+
+from essentia.standard import Windowing
+
+class TestEssentia(unittest.TestCase):
+    def test_windowing(self):
+        Windowing(type = 'hann')
diff --git a/tests/test_fastai.py b/tests/test_fastai.py
new file mode 100644
index 00000000..275d2776
--- /dev/null
+++ b/tests/test_fastai.py
@@ -0,0 +1,9 @@
+import unittest
+
+from fastai.core import partition
+
+class TestFastAI(unittest.TestCase):
+    def test_partition(self):
+        result = partition([1,2,3,4,5], 2)
+
+        self.assertEqual(3, len(result))
diff --git a/tests/test_fasttext.py b/tests/test_fasttext.py
new file mode 100644
index 00000000..e7112ae7
--- /dev/null
+++ b/tests/test_fasttext.py
@@ -0,0 +1,9 @@
+import unittest
+
+import fastText
+
+class TestFastText(unittest.TestCase):
+    def test_tokenize(self):
+        tokens = fastText.FastText.tokenize("Hello World")
+
+        self.assertEqual(["Hello", "World"], tokens)
diff --git a/tests/test_keras.py b/tests/test_keras.py
new file mode 100644
index 00000000..ca107563
--- /dev/null
+++ b/tests/test_keras.py
@@ -0,0 +1,25 @@
+import unittest
+
+import pandas as pd
+
+from keras.models import Sequential
+from keras.layers import Dense
+from keras.optimizers import RMSprop
+from keras.utils.np_utils import to_categorical
+
+class TestKeras(unittest.TestCase):
+    def test_train(self):
+        train = pd.read_csv("/input/tests/data/train.csv")
+
+        x_train = train.iloc[:,1:].values.astype('float32')
+        y_train = to_categorical(train.iloc[:,0].astype('int32'))
+
+        model = Sequential()
+        model.add(Dense(units=10, input_dim=784, activation='softmax'))
+
+        model.compile(
+            loss='categorical_crossentropy',
+            optimizer=RMSprop(lr=0.001),
+            metrics=['accuracy'])
+
+        model.fit(x_train, y_train, epochs=1, batch_size=32)
diff --git a/tests/test_kmapper.py b/tests/test_kmapper.py
new file mode 100644
index 00000000..c75deea3
--- /dev/null
+++ b/tests/test_kmapper.py
@@ -0,0 +1,7 @@
+import unittest
+
+import kmapper as km
+
+class TestKMapper(unittest.TestCase):
+    def test_init(self):
+        km.KeplerMapper()
diff --git a/tests/test_learntools.py b/tests/test_learntools.py
new file mode 100644
index 00000000..c4c4efb0
--- /dev/null
+++ b/tests/test_learntools.py
@@ -0,0 +1,9 @@
+import unittest
+
+from learntools.core import binder; binder.bind(globals())
+from learntools.python.ex1 import *
+
+class TestLearnTools(unittest.TestCase):
+    def test_check(self):
+        color="blue"
+        q0.check()
diff --git a/tests/test_matplotlib.py b/tests/test_matplotlib.py
new file mode 100644
index 00000000..4b2605ec
--- /dev/null
+++ b/tests/test_matplotlib.py
@@ -0,0 +1,18 @@
+import unittest
+import os.path
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+from mpl_toolkits.basemap import Basemap
+
+class TestMatplotlib(unittest.TestCase):
+    def test_plot(self):
+        plt.plot(np.linspace(0,1,50), np.random.rand(50))
+        plt.savefig("plot1.png")
+
+        self.assertTrue(os.path.isfile("plot1.png"))
+
+    def test_basemap(self):
+        Basemap(width=100,height=100,projection='aeqd',
+                lat_0=40,lon_0=-105)
diff --git a/tests/test_nltk.py b/tests/test_nltk.py
new file mode 100644
index 00000000..45bee936
--- /dev/null
+++ b/tests/test_nltk.py
@@ -0,0 +1,9 @@
+import unittest
+
+import nltk
+
+class TestNLTK(unittest.TestCase):
+    def test_tokenize(self):
+        tokens = nltk.word_tokenize("At eight o'clock")
+
+        self.assertEqual(["At", "eight", "o'clock"], tokens)
diff --git a/tests/test_numpy.py b/tests/test_numpy.py
new file mode 100644
index 00000000..2d809f7b
--- /dev/null
+++ b/tests/test_numpy.py
@@ -0,0 +1,16 @@
+import unittest
+
+import numpy as np
+from numpy.distutils.system_info import get_info
+
+class TestNumpy(unittest.TestCase):    
+    def test_array(self):
+        array = np.array([1, 3])
+
+        self.assertEqual((2,), array.shape)
+
+    # Numpy must be linked to the MKL. (Occasionally, a third-party package will muck up the installation
+    # and numpy will be reinstalled with an OpenBLAS backing.)
+    def test_mkl(self):
+        # This will throw an exception if the MKL is not linked correctly.
+        get_info("blas_mkl")
diff --git a/tests/test_opencv.py b/tests/test_opencv.py
new file mode 100644
index 00000000..be0e92f8
--- /dev/null
+++ b/tests/test_opencv.py
@@ -0,0 +1,9 @@
+import unittest
+
+import cv2
+
+class TestOpenCV(unittest.TestCase):
+    def test_imread(self):
+        img = cv2.imread('/input/tests/data/dot.png')
+
+        self.assertEqual(1, img.shape[0])
diff --git a/tests/test_pandas.py b/tests/test_pandas.py
new file mode 100644
index 00000000..f9163c57
--- /dev/null
+++ b/tests/test_pandas.py
@@ -0,0 +1,9 @@
+import unittest
+
+import pandas as pd
+
+class TestPandas(unittest.TestCase):    
+    def test_read_csv(self):
+        data = pd.read_csv("/input/tests/data/train.csv")
+
+        self.assertEqual(2, len(data.shape))
diff --git a/tests/test_plotly.py b/tests/test_plotly.py
new file mode 100644
index 00000000..0c24a05e
--- /dev/null
+++ b/tests/test_plotly.py
@@ -0,0 +1,9 @@
+import unittest
+
+import plotly.graph_objs as go
+
+class TestPlotly(unittest.TestCase):
+    def test_figure(self):
+        trace = {'x': [1, 2], 'y': [1, 3]}
+        data = [ trace ]
+        go.Figure(data=data)
diff --git a/tests/test_pyfasttext.py b/tests/test_pyfasttext.py
new file mode 100644
index 00000000..1ebf5211
--- /dev/null
+++ b/tests/test_pyfasttext.py
@@ -0,0 +1,9 @@
+import unittest
+
+from pyfasttext import FastText
+
+class TestPyFasttext(unittest.TestCase):
+    def test_vector(self):
+        model = FastText()
+
+        model.supervised(input='/input/tests/data/text.txt', output='model', epoch=1, lr=0.7)
diff --git a/tests/test_pytorch.py b/tests/test_pytorch.py
new file mode 100644
index 00000000..4f250572
--- /dev/null
+++ b/tests/test_pytorch.py
@@ -0,0 +1,13 @@
+import unittest
+
+import torch
+import torch.nn as tnn
+import torch.autograd as autograd
+
+class TestPyTorch(unittest.TestCase):
+    # PyTorch smoke test based on http://pytorch.org/tutorials/beginner/nlp/deep_learning_tutorial.html
+    def test_nn(self):
+        torch.manual_seed(31337)
+        linear_torch = tnn.Linear(5,3)
+        data_torch = autograd.Variable(torch.randn(2, 5))
+        linear_torch(data_torch)
diff --git a/tests/test_seaborn.py b/tests/test_seaborn.py
new file mode 100644
index 00000000..3986bc8c
--- /dev/null
+++ b/tests/test_seaborn.py
@@ -0,0 +1,7 @@
+import unittest
+
+import seaborn as sns
+
+class TestSeaborn(unittest.TestCase):
+    def test_option(self):
+        sns.set(style="darkgrid")
diff --git a/tests/test_shap.py b/tests/test_shap.py
new file mode 100644
index 00000000..992d5c5e
--- /dev/null
+++ b/tests/test_shap.py
@@ -0,0 +1,7 @@
+import unittest
+
+import shap
+
+class TestShap(unittest.TestCase):
+    def test_init(self):
+        shap.initjs()
diff --git a/tests/test_skimage.py b/tests/test_skimage.py
new file mode 100644
index 00000000..4a53b12e
--- /dev/null
+++ b/tests/test_skimage.py
@@ -0,0 +1,8 @@
+import unittest
+
+from skimage import data, filters
+
+class TestSkImage(unittest.TestCase):
+    def test_filter(self):
+        image = data.coins()
+        filters.sobel(image)
diff --git a/tests/test_sklearn.py b/tests/test_sklearn.py
new file mode 100644
index 00000000..d2d4b027
--- /dev/null
+++ b/tests/test_sklearn.py
@@ -0,0 +1,18 @@
+import unittest
+
+from sklearn import datasets
+from sklearn.ensemble import RandomForestClassifier
+from sklearn.linear_model import LinearRegression
+
+class TestSklearn(unittest.TestCase):
+    def test_random_forest_classifier(self):
+        iris = datasets.load_iris()
+        X, y = iris.data, iris.target
+        rf1 = RandomForestClassifier()
+        rf1.fit(X,y)
+
+    def test_linearn_classifier(self):
+        boston = datasets.load_boston()
+        X, y = boston.data, boston.target
+        lr1 = LinearRegression()
+        lr1.fit(X,y)
diff --git a/tests/test_tensorflow.py b/tests/test_tensorflow.py
new file mode 100644
index 00000000..120b773d
--- /dev/null
+++ b/tests/test_tensorflow.py
@@ -0,0 +1,12 @@
+import unittest
+
+import tensorflow as tf
+
+class TestTensorflow(unittest.TestCase):
+    def test_addition(self):        
+        op = tf.add(2, 3)        
+        sess = tf.Session()
+
+        result = sess.run(op)
+
+        self.assertEqual(5, result)
diff --git a/tests/test_theano.py b/tests/test_theano.py
new file mode 100644
index 00000000..e4714157
--- /dev/null
+++ b/tests/test_theano.py
@@ -0,0 +1,20 @@
+import unittest
+
+import theano
+from theano import tensor
+
+class TestTheano(unittest.TestCase):
+    def test_addition(self):
+        # declare two symbolic floating-point scalars
+        a = tensor.dscalar()
+        b = tensor.dscalar()
+
+        # create a simple expression
+        c = a + b
+
+        # convert the expression into a callable object that takes (a,b)
+        # values as input and computes a value for c
+        f = theano.function([a,b], c)
+
+        # bind 1.5 to 'a', 2.5 to 'b', and evaluate 'c'
+        self.assertEqual(4.0, f(1.5, 2.5))
diff --git a/tests/test_vowpalwabbit.py b/tests/test_vowpalwabbit.py
new file mode 100644
index 00000000..f6f62161
--- /dev/null
+++ b/tests/test_vowpalwabbit.py
@@ -0,0 +1,10 @@
+import unittest
+
+from vowpalwabbit import pyvw
+
+class TestVowpalwabbit(unittest.TestCase):
+    def test_basic(self):
+        vw = pyvw.vw(quiet=True)
+        ex = vw.example('1 | a b c')
+        vw.learn(ex)
+        self.assertEqual(0.632030725479126, vw.predict(ex))
diff --git a/tests/test_wordbatch.py b/tests/test_wordbatch.py
new file mode 100644
index 00000000..4d64c8f7
--- /dev/null
+++ b/tests/test_wordbatch.py
@@ -0,0 +1,15 @@
+import unittest
+
+import wordbatch
+
+from wordbatch.extractors import WordBag
+
+class TestWordBatch(unittest.TestCase):
+    def test_wordbatch(self):
+        wordbatch.WordBatch(extractor=(WordBag, {
+            "hash_ngrams":2, 
+            "hash_ngrams_weights":[0.5, -1.0], 
+            "hash_size":2**23, 
+            "norm":'l2', 
+            "tf":'log', 
+            "idf":50.0}))
diff --git a/tests/test_xgboost.py b/tests/test_xgboost.py
new file mode 100644
index 00000000..e1bc12f8
--- /dev/null
+++ b/tests/test_xgboost.py
@@ -0,0 +1,12 @@
+import unittest
+
+from sklearn import datasets
+from xgboost import XGBClassifier
+
+class TestXGBoost(unittest.TestCase):
+    def test_classifier(self):
+        boston = datasets.load_boston()
+        X, y = boston.data, boston.target
+
+        xgb1 = XGBClassifier(n_estimators=3)
+        xgb1.fit(X[0:70],y[0:70])
diff --git a/tests/text_mxnet.py b/tests/text_mxnet.py
new file mode 100644
index 00000000..8c9d0712
--- /dev/null
+++ b/tests/text_mxnet.py
@@ -0,0 +1,9 @@
+import unittest
+
+import mxnet as mx
+
+class TestMxNet(unittest.TestCase):
+    def test_array(self):    
+        x = mx.nd.array([[1, 2, 3], [4, 5, 6]])
+
+        self.assertEqual((2, 3), x.shape)

From 8fbdaff9eb07479b959d745be5f949db920488d5 Mon Sep 17 00:00:00 2001
From: Ben Hamner <ben@benhamner.com>
Date: Fri, 10 Aug 2018 20:58:06 -0700
Subject: [PATCH 0359/1660] Added tensorflow_hub

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 1e272503..85dc779e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -494,6 +494,7 @@ RUN pip install flashtext && \
     pip install conx && \
     pip install pandasql && \
     pip install trackml && \
+    pip install tensorflow_hub && \
     ##### ^^^^ Add new contributions above here ^^^^ #####
     # clean up pip cache
     rm -rf /root/.cache/pip/*

From 3646d64d48ee240e233e02331651c7b6837f6f7c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 13 Aug 2018 16:46:24 +0000
Subject: [PATCH 0360/1660] Capitalize and add punctuation to comment

---
 tests/test_theano.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/tests/test_theano.py b/tests/test_theano.py
index e4714157..156beb7b 100644
--- a/tests/test_theano.py
+++ b/tests/test_theano.py
@@ -5,16 +5,16 @@
 
 class TestTheano(unittest.TestCase):
     def test_addition(self):
-        # declare two symbolic floating-point scalars
+        # Declare two symbolic floating-point scalars.
         a = tensor.dscalar()
         b = tensor.dscalar()
 
-        # create a simple expression
+        # Create a simple expression.
         c = a + b
 
-        # convert the expression into a callable object that takes (a,b)
-        # values as input and computes a value for c
+        # Convert the expression into a callable object that takes (a,b)
+        # values as input and computes a value for 'c'.
         f = theano.function([a,b], c)
 
-        # bind 1.5 to 'a', 2.5 to 'b', and evaluate 'c'
+        # Bind 1.5 to 'a', 2.5 to 'b', and evaluate 'c'.
         self.assertEqual(4.0, f(1.5, 2.5))

From cab99a4285ebf42503232756ffe5485a590d7648 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 13 Aug 2018 17:07:49 +0000
Subject: [PATCH 0361/1660] add tracking issue for tensorflow python 3.7
 compatibility

---
 Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 85dc779e..f0495a89 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -48,11 +48,11 @@ RUN apt-get update && apt-get install -y python-software-properties zip && \
     apt-get update && apt-get install -y bazel && \
     apt-get upgrade -y bazel
 
-# Tensorflow
+# Tensorflow doesn't support python 3.7 yet. See https://github.com/tensorflow/tensorflow/issues/20517
 # Fix to install tf 1.10:: Downgrade python 3.7->3.6.6 and downgrade Pandas 0.23.3->0.23.2
 RUN conda install -y python=3.6.6 && \
     pip install pandas==0.23.2 && \
-# Another fix for TF 1.10 https://github.com/tensorflow/tensorflow/issues/21518
+    # Another fix for TF 1.10 https://github.com/tensorflow/tensorflow/issues/21518
     pip install keras_applications==1.0.4 --no-deps && \
     pip install keras_preprocessing==1.0.2 --no-deps && \
     cd /usr/local/src && \

From 8dda3a7683c0206d44f2cdd53e731da963343e8d Mon Sep 17 00:00:00 2001
From: Chris Crawford <crawforc3@gmail.com>
Date: Tue, 14 Aug 2018 00:10:41 +0000
Subject: [PATCH 0362/1660] Ugly and inelegant fix for geopandas

---
 Dockerfile | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index f0495a89..5d97c5af 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -227,7 +227,6 @@ RUN pip install scipy && \
     cd /usr/local/src && git clone git://github.com/nicolashennetier/pyeconometrics.git && \
     cd pyeconometrics && python setup.py install && \
     apt-get install -y graphviz && pip install graphviz && \
-    apt-get install -y libgdal1-dev && GDAL_CONFIG=/usr/bin/gdal-config pip install fiona && pip install geopandas && \
     # Pandoc is a dependency of deap
     apt-get install -y pandoc && \
     cd /usr/local/src && git clone git://github.com/scikit-learn-contrib/py-earth.git && \
@@ -324,8 +323,10 @@ RUN pip install fancyimpute && \
     pip install stemming && \
     conda install -y -c conda-forge fbprophet && \
     conda install -y -c conda-forge -c ioam holoviews geoviews && \
-# Temp fix : Fiona is already installed by pip and conda installs another version as a dependency for holoviews
-    conda uninstall -y fiona && \
+    #Temp fix: After installing holoviews and geoviews, deps for fiona and geopandas get really messed up. This is a very unelegant fix.
+    conda uninstall -y fiona geopandas && \
+    pip uninstall -y fiona geopandas && \
+    apt-get install -y libgdal1-dev && GDAL_CONFIG=/usr/bin/gdal-config pip install fiona && pip install geopandas && \
     pip install hypertools && \
     # Nxviz has been causing an installation issue by trying unsuccessfully to remove setuptools.
     #pip install nxviz && \

From cc404542a0fdb365bd0dca19c9fc421a066b9cb7 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 22 Aug 2018 09:40:53 -0700
Subject: [PATCH 0363/1660] pin notebook package to 5.5.0 to fix styling issue

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index e4f353c5..d5cc3ce6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -433,7 +433,7 @@ RUN pip install bcolz && \
     pip install mistune && \
     pip install nbconvert && \
     pip install nbformat && \
-    pip install notebook && \
+    pip install notebook==0.5.5 && \
     pip install numpy && \
     pip install olefile && \
     pip install opencv-python && \

From 94c03a970609f4f33ae3e1f4a93bb9929e69071f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 22 Aug 2018 23:00:58 +0000
Subject: [PATCH 0364/1660] install tensorpack using pip

---
 Dockerfile | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index d5cc3ce6..6f689c0f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -360,8 +360,7 @@ RUN pip install kmeans-smote --no-dependencies && \
     cd /opt/ && git clone https://github.com/PAIR-code/facets && cd facets/ && jupyter nbextension install facets-dist/ --user && \
     export PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/ && \
     pip install --no-dependencies ethnicolr && \
-    # Update setuptools and add tensorpack
-    pip install --upgrade --ignore-installed setuptools && pip install --no-cache-dir git+git://github.com/ppwwyyxx/tensorpack && \
+    pip install tensorpack && \
     pip install pycountry && pip install iso3166 && \
     pip install pydash && \
     pip install kmodes --no-dependencies && \
@@ -524,4 +523,4 @@ ENV PYTHONUSERBASE "/root/.local"
 ADD patches/sitecustomize.py /root/.local/lib/python3.6/site-packages/sitecustomize.py
 
 # Set backend for matplotlib
-ENV MPLBACKEND "agg"
\ No newline at end of file
+ENV MPLBACKEND "agg"

From 16307753cd6e84fd4e55618abca2e474a7a7bfa8 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 23 Aug 2018 15:06:11 -0700
Subject: [PATCH 0365/1660] Typo in notebook version.

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 6f689c0f..d7a63932 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -432,7 +432,7 @@ RUN pip install bcolz && \
     pip install mistune && \
     pip install nbconvert && \
     pip install nbformat && \
-    pip install notebook==0.5.5 && \
+    pip install notebook==5.5.0 && \
     pip install numpy && \
     pip install olefile && \
     pip install opencv-python && \

From c2b8335832c3a01f0c61276639471ed80c7f9f88 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 24 Aug 2018 16:40:01 +0000
Subject: [PATCH 0366/1660] Install pytorch for cpu on master

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index d7a63932..cb447b43 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -235,7 +235,7 @@ RUN pip install scipy && \
     # PyTorch
     export CXXFLAGS="-std=c++11" && \
     export CFLAGS="-std=c99" && \
-    conda install -y pytorch torchvision -c pytorch && \
+    conda install -y pytorch-cpu torchvision-cpu -c pytorch && \
     # PyTorch Audio
     apt-get install -y sox libsox-dev libsox-fmt-all && \
     pip install cffi && \

From 4432a8f3c3b0e5d1f3476062dc93e4e6c2a41b22 Mon Sep 17 00:00:00 2001
From: Gyczero <2997347185@qq.com>
Date: Sat, 1 Sep 2018 18:50:30 +0800
Subject: [PATCH 0367/1660] ADD support for gensim and jieba

---
 Dockerfile | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index cb447b43..61a11394 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -156,7 +156,7 @@ RUN apt-get update && \
     conda install basemap && \
     # Pillow (PIL)
     apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev && \
-    pip install Pillow 
+    pip install Pillow
 
 RUN cd /usr/local/src && git clone https://github.com/vitruvianscience/opendeep.git && \
     cd opendeep && python setup.py develop  && \
@@ -495,6 +495,8 @@ RUN pip install flashtext && \
     pip install pandasql && \
     pip install trackml && \
     pip install tensorflow_hub && \
+    pip install gensim && \
+    pip install jieba  && \
     ##### ^^^^ Add new contributions above here ^^^^ #####
     # clean up pip cache
     rm -rf /root/.cache/pip/*

From 3fe25c22f6ca2cd1ee6da68913bfded9fc6e2912 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 11 Sep 2018 18:41:19 +0000
Subject: [PATCH 0368/1660] Install basemap from source

---
 Dockerfile | 32 +++++++++++++++++---------------
 1 file changed, 17 insertions(+), 15 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index cb447b43..49c709c1 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -142,21 +142,23 @@ RUN apt-get install -y libfreetype6-dev && \
 ENV LD_LIBRARY_PATH=/opt/conda/lib
 
 # Install Basemap via conda temporarily
-RUN apt-get update && \
-    #apt-get -y install libgeos-dev && \
-    #pip install matplotlib && \
-    #pip install pyshp && \
-    #pip install pyproj && \
-    #cd /usr/local/src && git clone https://github.com/matplotlib/basemap.git && \
-    #cd basemap/geos-3.3.3 && \
-    #export GEOS_DIR=/usr/local && \
-    #./configure --prefix=$GEOS_DIR && \
-    #make && make install && \
-    #cd .. && python setup.py install && \
-    conda install basemap && \
-    # Pillow (PIL)
-    apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev && \
-    pip install Pillow 
+RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
+     # Pillow is an optional dependency of basemap
+    pip install Pillow && \
+    pip install matplotlib && \
+    pip install pyshp && \
+    pip install pyproj && \
+    cd /usr/local/src && git clone https://github.com/matplotlib/basemap.git && \
+    cd basemap && \
+    git checkout v1.1.0 && \
+    # Install geos
+    cd geos-3.3.3 && \
+    export GEOS_DIR=/usr/local && \
+    ./configure --prefix=$GEOS_DIR && \
+    make && make install && \
+    # Install basemap
+    cd .. && python setup.py install && \
+    pip install basemap --no-binary basemap
 
 RUN cd /usr/local/src && git clone https://github.com/vitruvianscience/opendeep.git && \
     cd opendeep && python setup.py develop  && \

From 5095d04c40c4cd8df2860bb484637d2de1b2485c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 13 Sep 2018 10:55:18 -0700
Subject: [PATCH 0369/1660] Move gensim after downgrading to python 3.6

Otherwise, the package gets silently removed.
---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 49c709c1..100464f5 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -13,7 +13,7 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     apt-get -y install cmake
 
 RUN pip install seaborn python-dateutil dask pytagcloud pyyaml joblib \
-    husl geopy ml_metrics mne pyshp gensim && \
+    husl geopy ml_metrics mne pyshp && \
     conda install -y -c conda-forge spacy && python -m spacy download en && \
     python -m spacy download en_core_web_lg && \
     # The apt-get version of imagemagick is out of date and has compatibility issues, so we build from source
@@ -65,6 +65,7 @@ RUN conda install -y python=3.6.6 && \
 
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
+    pip install gensim && \
     # textblob
     pip install textblob && \
     #word cloud

From 3af3acbb1968266e646970336abcb4d4cd355aef Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 13 Sep 2018 15:08:56 -0700
Subject: [PATCH 0370/1660] Add PDPbox

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 100464f5..6317d1bc 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -498,6 +498,7 @@ RUN pip install flashtext && \
     pip install pandasql && \
     pip install trackml && \
     pip install tensorflow_hub && \
+    pip install PDPbox && \
     ##### ^^^^ Add new contributions above here ^^^^ #####
     # clean up pip cache
     rm -rf /root/.cache/pip/*

From adffdb69ba1e03dff47b7e89d955c927e1fc85a3 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 14 Sep 2018 10:01:37 -0700
Subject: [PATCH 0371/1660] add tests for gensim

---
 tests/test_gensim.py | 9 +++++++++
 1 file changed, 9 insertions(+)
 create mode 100644 tests/test_gensim.py

diff --git a/tests/test_gensim.py b/tests/test_gensim.py
new file mode 100644
index 00000000..bf239017
--- /dev/null
+++ b/tests/test_gensim.py
@@ -0,0 +1,9 @@
+import unittest
+
+from gensim import corpora
+
+class TestGensim(unittest.TestCase):
+    def test_dictionary(self):
+        dic = corpora.Dictionary([['lorem', 'ipsum']])
+
+        self.assertEqual(2, len(dic.token2id))

From d4d81c2ebc4cad9d4be76c8704a2da65df7fcc65 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 14 Sep 2018 10:59:47 -0700
Subject: [PATCH 0372/1660] Remove duplicate install for opencv

---
 Dockerfile | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 6317d1bc..c3f2f09c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -32,9 +32,6 @@ RUN pip install seaborn python-dateutil dask pytagcloud pyyaml joblib \
     # clean up ImageMagick source files
     cd ../ && rm -rf ImageMagick*
 
-# OpenCV install (from pip or source)
-RUN pip install opencv-python
-
 RUN apt-get update && apt-get install -y python-software-properties zip && \
     echo "deb http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list && \
     echo "deb-src http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list && \

From f087d24fe550f869f9dadb26ef31df760459852f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <roseberryv@gmail.com>
Date: Fri, 14 Sep 2018 11:03:34 -0700
Subject: [PATCH 0373/1660] Remove duplicate install for Pillow

---
 Dockerfile | 2 --
 1 file changed, 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index c3f2f09c..fe62e9eb 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -141,8 +141,6 @@ ENV LD_LIBRARY_PATH=/opt/conda/lib
 
 # Install Basemap via conda temporarily
 RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
-     # Pillow is an optional dependency of basemap
-    pip install Pillow && \
     pip install matplotlib && \
     pip install pyshp && \
     pip install pyproj && \

From a175e913e08fca81245c94e86ad8f9e183c9b9a3 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 14 Sep 2018 11:14:23 -0700
Subject: [PATCH 0374/1660] Add ggplot

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index fe62e9eb..9f41bc9e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -494,6 +494,7 @@ RUN pip install flashtext && \
     pip install trackml && \
     pip install tensorflow_hub && \
     pip install PDPbox && \
+    pip install ggplot && \
     ##### ^^^^ Add new contributions above here ^^^^ #####
     # clean up pip cache
     rm -rf /root/.cache/pip/*

From e8339b3f119e03429e85d6626871a38613b44aeb Mon Sep 17 00:00:00 2001
From: Michael Apers <32524673+perfectclear@users.noreply.github.com>
Date: Fri, 14 Sep 2018 11:50:54 -0700
Subject: [PATCH 0375/1660] Update Dockerfile

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 9f41bc9e..036d005b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -495,6 +495,7 @@ RUN pip install flashtext && \
     pip install tensorflow_hub && \
     pip install PDPbox && \
     pip install ggplot && \
+    pip install cesium && \
     ##### ^^^^ Add new contributions above here ^^^^ #####
     # clean up pip cache
     rm -rf /root/.cache/pip/*

From eb6742f9b5760d8a5357e5241541b3f02095a9bc Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 17 Sep 2018 16:03:21 +0000
Subject: [PATCH 0376/1660] Merge and improve gpu tests. Add annotations

---
 tests/__init__.py        |  0
 tests/common.py          |  6 ++++++
 tests/test_nvidia.py     | 26 ++++++++++++++++++++++++++
 tests/test_pytorch.py    | 12 ++++++++++++
 tests/test_tensorflow.py | 16 ++++++++++++++++
 5 files changed, 60 insertions(+)
 create mode 100644 tests/__init__.py
 create mode 100644 tests/common.py
 create mode 100644 tests/test_nvidia.py

diff --git a/tests/__init__.py b/tests/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/tests/common.py b/tests/common.py
new file mode 100644
index 00000000..823212a2
--- /dev/null
+++ b/tests/common.py
@@ -0,0 +1,6 @@
+"""Common testing setup"""
+
+import os
+import unittest
+
+gpu_test = unittest.skipIf(len(os.environ.get('CUDA_VERSION', '')) == 0, 'Not running GPU tests')
diff --git a/tests/test_nvidia.py b/tests/test_nvidia.py
new file mode 100644
index 00000000..a6f3c428
--- /dev/null
+++ b/tests/test_nvidia.py
@@ -0,0 +1,26 @@
+"""Tests for general GPU support"""
+
+import os
+import subprocess
+import sys
+import unittest
+
+import common
+import pycuda.driver
+
+from common import gpu_test
+
+
+class TestNvidia(unittest.TestCase):
+    @gpu_test
+    def test_system_management_interface(self):
+        smi = subprocess.Popen(['nvidia-smi'], stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
+        smi.communicate()
+        self.assertEqual(0, smi.returncode)
+
+    @gpu_test
+    def test_pycuda(self):       
+        pycuda.driver.init()
+        gpu_name = pycuda.driver.Device(0).name() 
+        self.assertNotEqual(0, len(gpu_name))
+
diff --git a/tests/test_pytorch.py b/tests/test_pytorch.py
index 4f250572..16b17364 100644
--- a/tests/test_pytorch.py
+++ b/tests/test_pytorch.py
@@ -4,6 +4,9 @@
 import torch.nn as tnn
 import torch.autograd as autograd
 
+from common import gpu_test
+
+
 class TestPyTorch(unittest.TestCase):
     # PyTorch smoke test based on http://pytorch.org/tutorials/beginner/nlp/deep_learning_tutorial.html
     def test_nn(self):
@@ -11,3 +14,12 @@ def test_nn(self):
         linear_torch = tnn.Linear(5,3)
         data_torch = autograd.Variable(torch.randn(2, 5))
         linear_torch(data_torch)
+
+    @gpu_test
+    def test_gpu(self):
+        cuda = torch.device('cuda')  
+        a = torch.tensor([1., 2.], device=cuda)
+
+        result = a.sum()
+
+        self.assertEqual(torch.tensor([3.], device=cuda), result)
diff --git a/tests/test_tensorflow.py b/tests/test_tensorflow.py
index 120b773d..10a66837 100644
--- a/tests/test_tensorflow.py
+++ b/tests/test_tensorflow.py
@@ -1,7 +1,11 @@
 import unittest
 
+import numpy as np
 import tensorflow as tf
 
+from common import gpu_test
+
+
 class TestTensorflow(unittest.TestCase):
     def test_addition(self):        
         op = tf.add(2, 3)        
@@ -10,3 +14,15 @@ def test_addition(self):
         result = sess.run(op)
 
         self.assertEqual(5, result)
+    
+    @gpu_test
+    def test_gpu(self):
+        with tf.device('/gpu:0'):
+            m1 = tf.constant([2.0, 3.0], shape=[1, 2], name='a')
+            m2 = tf.constant([3.0, 4.0], shape=[2, 1], name='b')
+            op = tf.matmul(m1, m2)
+
+            sess = tf.Session()
+            result = sess.run(op)
+
+            self.assertEqual(np.array(18, dtype=np.float32, ndmin=2), result)

From f9f5ee8002c66e20ff04d35434156fedeb90dbfa Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 17 Sep 2018 20:52:42 +0000
Subject: [PATCH 0377/1660] Fix nvidia tests for CPU

---
 tests/test_nvidia.py | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/tests/test_nvidia.py b/tests/test_nvidia.py
index a6f3c428..b5ad61ce 100644
--- a/tests/test_nvidia.py
+++ b/tests/test_nvidia.py
@@ -5,9 +5,6 @@
 import sys
 import unittest
 
-import common
-import pycuda.driver
-
 from common import gpu_test
 
 
@@ -19,7 +16,8 @@ def test_system_management_interface(self):
         self.assertEqual(0, smi.returncode)
 
     @gpu_test
-    def test_pycuda(self):       
+    def test_pycuda(self):   
+        import pycuda.driver    
         pycuda.driver.init()
         gpu_name = pycuda.driver.Device(0).name() 
         self.assertNotEqual(0, len(gpu_name))

From 228c99e27736236658c01a54d4e9128a2d4f1173 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 17 Sep 2018 20:53:24 +0000
Subject: [PATCH 0378/1660] Update build, test, push script to support gpu

---
 build | 29 ++++++++++++++++++++++++-----
 push  | 25 ++++++++++++++++++++++---
 test  | 24 +++++++++++++++++++++---
 3 files changed, 67 insertions(+), 11 deletions(-)

diff --git a/build b/build
index d3f34959..8d3fc81f 100755
--- a/build
+++ b/build
@@ -1,10 +1,29 @@
 #!/bin/bash
+#
+# Build a new Python Docker image.
+#
+# Usage:
+#   ./build [--gpu] [--use-cache]
+#
+# Options:
+#   --gpu: Build an image with GPU support.
+#   --use-cache: Use layer cache when building a new image.
+# 
 set -e
+set -x
+
+CACHE_FLAG="--no-cache"
+IMAGE_TAG="kaggle/python-build"
+DOCKERFILE="Dockerfile"
+
+if [[ "$1" == "--gpu" ]]; then
+    IMAGE_TAG="kaggle/python-gpu-build"
+    DOCKERFILE="gpu.Dockerfile"
+    shift
+fi
 
-# Default behavior is to do everything from scratch.
-# The --use-cache option is useful if you're iterating on a broken build.
 if [[ "$1" ==  "--use-cache" ]]; then
-    docker build --rm -t kaggle/python-build .
-else
-    docker build --pull --rm --no-cache -t kaggle/python-build .
+    CACHE_FLAG=""
 fi
+
+docker build --rm -t $CACHE_FLAG $IMAGE_TAG -f $DOCKERFILE .
diff --git a/push b/push
index ac3d2136..85f11611 100755
--- a/push
+++ b/push
@@ -1,13 +1,32 @@
 #!/bin/bash
+#
+# Push a newly-built image with the given label to gcr.io and DockerHub.
+#
+# Usage:
+#   ./push [--gpu] [label]
+#
+# Description:
+#   label: Docker image label. Defaults to "testing".
+#
+# Options:
+#   --gpu: Psuh the image with GPU support.
+# 
 set -e
-set +x
+set -x
+
+IMAGE_TAG="kaggle/python-build:latest"
+
+if [[ "$1" == "--gpu" ]]; then
+    IMAGE_TAG="kaggle/python-gpu-build:latest"
+    shift
+fi
 
 label=${1:-testing}
 
-docker tag kaggle/python-build:latest gcr.io/kaggle-images/python:${label}
+docker tag $IMAGE_TAG gcr.io/kaggle-images/python:${label}
 gcloud docker -- push gcr.io/kaggle-images/python:${label}
 
 if [[ "$label" == "latest" ]]; then
-  docker tag kaggle/python-build:latest kaggle/python:${label}
+  docker tag $IMAGE_TAG kaggle/python:${label}
   docker push kaggle/python:${label}
 fi
diff --git a/test b/test
index 2528b6af..080fc5ff 100755
--- a/test
+++ b/test
@@ -1,6 +1,24 @@
 #!/bin/bash
+#
+# Run tests for a newly-built Python Docker image.
+# By default, it runs the tests for the CPU image.
+#
+# Usage:
+#   ./test [--gpu]
+#
+# Options:
+#   --gpu: Run tests for the GPU image
+# 
+
 set -e
-set +x
+set -x
+
+IMAGE_TAG="kaggle/python-build"
+
+if [[ "$1" == "--gpu" ]]; then
+    IMAGE_TAG="kaggle/python-gpu-build"
+    shift
+fi
 
 rm -rf /tmp/python-build
 docker rm jupyter_test || true
@@ -8,7 +26,7 @@ mkdir -p /tmp/python-build/tmp
 mkdir -p /tmp/python-build/devshm
 mkdir -p /tmp/python-build/working
 # Check that Jupyter server can run; if it dies on startup, the `docker kill` command will throw an error
-docker run -d --name=jupyter_test --read-only --net=none -e HOME=/tmp -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm kaggle/python-build jupyter notebook --allow-root --ip="*"
+docker run -d --name=jupyter_test --read-only --net=none -e HOME=/tmp -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm $IMAGE_TAG jupyter notebook --allow-root --ip="*"
 sleep 3
 docker kill jupyter_test && docker rm jupyter_test
 docker run --rm -t --read-only --net=none \
@@ -18,5 +36,5 @@ docker run --rm -t --read-only --net=none \
     -v $PWD:/input:ro -v /tmp/python-build/working:/working \
     -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm \
     -w=/working \
-    kaggle/python-build \
+    $IMAGE_TAG \
     /bin/bash -c 'python -m unittest discover -s /input/tests'

From 18b07e269a53272ba189819bcf5a8809f8dbb062 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 17 Sep 2018 23:20:29 +0000
Subject: [PATCH 0379/1660] fix push and test script

---
 push | 23 +++++++++++++----------
 test |  3 +++
 2 files changed, 16 insertions(+), 10 deletions(-)

diff --git a/push b/push
index 85f11611..a938abb5 100755
--- a/push
+++ b/push
@@ -3,10 +3,10 @@
 # Push a newly-built image with the given label to gcr.io and DockerHub.
 #
 # Usage:
-#   ./push [--gpu] [label]
+#   ./push [--gpu] [LABEL]
 #
 # Description:
-#   label: Docker image label. Defaults to "testing".
+#   LABEL: Docker image label. Defaults to "testing".
 #
 # Options:
 #   --gpu: Psuh the image with GPU support.
@@ -14,19 +14,22 @@
 set -e
 set -x
 
-IMAGE_TAG="kaggle/python-build:latest"
+SOURCE_IMAGE="kaggle/python-build"
+TARGET_IMAGE="gcr.io/kaggle-images/python"
 
 if [[ "$1" == "--gpu" ]]; then
-    IMAGE_TAG="kaggle/python-gpu-build:latest"
+    SOURCE_IMAGE="kaggle/python-gpu-build"
+    TARGET_IMAGE="gcr.io/kaggle-private-byod/python"
     shift
 fi
 
-label=${1:-testing}
+LABEL=${1:-testing}
 
-docker tag $IMAGE_TAG gcr.io/kaggle-images/python:${label}
-gcloud docker -- push gcr.io/kaggle-images/python:${label}
+docker tag $SOURCE_IMAGE:latest $TARGET_IMAGE:$LABEL
+gcloud docker -- push $TARGET_IMAGE:$LABEL
 
-if [[ "$label" == "latest" ]]; then
-  docker tag $IMAGE_TAG kaggle/python:${label}
-  docker push kaggle/python:${label}
+# Only CPU images are made public at this time.
+if [[ "$LABEL" == "latest" && SOURCE_IMAGE = "kaggle/python-build" ]]; then
+  docker tag $SOURCE_IMAGE:latest kaggle/python:$LABEL
+  docker push kaggle/python:$LABEL
 fi
diff --git a/test b/test
index 080fc5ff..b2086cc8 100755
--- a/test
+++ b/test
@@ -14,9 +14,11 @@ set -e
 set -x
 
 IMAGE_TAG="kaggle/python-build"
+ADDITONAL_OPTS=""
 
 if [[ "$1" == "--gpu" ]]; then
     IMAGE_TAG="kaggle/python-gpu-build"
+    ADDITONAL_OPTS="-v /tmp/empty_dir:/usr/local/cuda/lib64/stubs:ro"
     shift
 fi
 
@@ -36,5 +38,6 @@ docker run --rm -t --read-only --net=none \
     -v $PWD:/input:ro -v /tmp/python-build/working:/working \
     -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm \
     -w=/working \
+    $ADDITONAL_OPTS \
     $IMAGE_TAG \
     /bin/bash -c 'python -m unittest discover -s /input/tests'

From c57c0896a88f45fce43ed9f8aee0bb8cacb66a7e Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 18 Sep 2018 21:41:50 +0000
Subject: [PATCH 0380/1660] improve pytorch gpu tests

---
 tests/test_pytorch.py | 12 +++++++++++-
 1 file changed, 11 insertions(+), 1 deletion(-)

diff --git a/tests/test_pytorch.py b/tests/test_pytorch.py
index 16b17364..61dd71ff 100644
--- a/tests/test_pytorch.py
+++ b/tests/test_pytorch.py
@@ -16,10 +16,20 @@ def test_nn(self):
         linear_torch(data_torch)
 
     @gpu_test
-    def test_gpu(self):
+    def test_gpu_computation(self):
         cuda = torch.device('cuda')  
         a = torch.tensor([1., 2.], device=cuda)
 
         result = a.sum()
 
         self.assertEqual(torch.tensor([3.], device=cuda), result)
+
+    @gpu_test
+    def test_cuda_nn(self):
+        # These throw if cuda is misconfigured
+        tnn.GRUCell(10,10).cuda()
+        tnn.RNNCell(10,10).cuda()
+        tnn.LSTMCell(10,10).cuda()
+        tnn.GRU(10,10).cuda()
+        tnn.LSTM(10,10).cuda()
+        tnn.RNN(10,10).cuda()

From fb787224199d5ecd09f8724f13ec5aaaede4cfdd Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 18 Sep 2018 21:46:55 +0000
Subject: [PATCH 0381/1660] fix build command

---
 build | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/build b/build
index 8d3fc81f..c2b44598 100755
--- a/build
+++ b/build
@@ -26,4 +26,4 @@ if [[ "$1" ==  "--use-cache" ]]; then
     CACHE_FLAG=""
 fi
 
-docker build --rm -t $CACHE_FLAG $IMAGE_TAG -f $DOCKERFILE .
+docker build --rm $CACHE_FLAG -t $IMAGE_TAG -f $DOCKERFILE .

From ba4a5237f2009c7c5a785f0dde864a9e1954920b Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 18 Sep 2018 21:48:46 +0000
Subject: [PATCH 0382/1660] Install tensorflow from pre-built wheel

---
 Dockerfile | 34 ++++++++++++----------------------
 1 file changed, 12 insertions(+), 22 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 45290385..1e2dce6e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,12 +1,17 @@
+FROM gcr.io/kaggle-images/python-tensorflow-whl:1.11.0-py36 as tensorflow_whl
 FROM continuumio/anaconda3:5.0.1
 
+# This is necessary to for apt to access HTTPS sources
+RUN apt-get update && \
+    apt-get install apt-transport-https
+
 ADD patches/ /tmp/patches/
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
 
     # Use a fixed apt-get repo to stop intermittent failures due to flaky httpredir connections,
     # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
 RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \
-    apt-get update && apt-get install -y build-essential && \
+    apt-get update && apt-get install -y build-essential unzip && \
     # https://stackoverflow.com/a/46498173
     conda update -y conda && conda update -y python && \
     pip install --upgrade pip && \
@@ -32,33 +37,18 @@ RUN pip install seaborn python-dateutil dask pytagcloud pyyaml joblib \
     # clean up ImageMagick source files
     cd ../ && rm -rf ImageMagick*
 
-RUN apt-get update && apt-get install -y python-software-properties zip && \
-    echo "deb http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list && \
-    echo "deb-src http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list && \
-    apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys EEA14886 C857C906 2B90D010 && \
-    apt-get update && \
-    echo debconf shared/accepted-oracle-license-v1-1 select true | debconf-set-selections && \
-    echo debconf shared/accepted-oracle-license-v1-1 seen true | debconf-set-selections && \
-    apt-get install -y oracle-java8-installer && \
-    echo "deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8" | tee /etc/apt/sources.list.d/bazel.list && \
-    curl https://bazel.build/bazel-release.pub.gpg | apt-key add - && \
-    apt-get update && apt-get install -y bazel && \
-    apt-get upgrade -y bazel
-
 # Tensorflow doesn't support python 3.7 yet. See https://github.com/tensorflow/tensorflow/issues/20517
 # Fix to install tf 1.10:: Downgrade python 3.7->3.6.6 and downgrade Pandas 0.23.3->0.23.2
 RUN conda install -y python=3.6.6 && \
     pip install pandas==0.23.2 && \
     # Another fix for TF 1.10 https://github.com/tensorflow/tensorflow/issues/21518
     pip install keras_applications==1.0.4 --no-deps && \
-    pip install keras_preprocessing==1.0.2 --no-deps && \
-    cd /usr/local/src && \
-    git clone https://github.com/tensorflow/tensorflow && \
-    cd tensorflow && \
-    cat /dev/null | ./configure && \
-    bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package && \
-    bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg && \
-    pip install /tmp/tensorflow_pkg/tensorflow*.whl
+    pip install keras_preprocessing==1.0.2 --no-deps
+
+# Install tensorflow from a pre-built wheel
+COPY --from=tensorflow_whl /tmp/tensorflow_cpu/*.whl /tmp/tensorflow_cpu/
+RUN pip install /tmp/tensorflow_cpu/tensorflow*.whl && \
+    rm -rf /tmp/tensorflow_cpu
 
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \

From 5ee32f807974de2d452e8d251a54d071eccdff72 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 18 Sep 2018 21:49:10 +0000
Subject: [PATCH 0383/1660] GPU Dockerfile

---
 gpu.Dockerfile | 48 ++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 48 insertions(+)
 create mode 100644 gpu.Dockerfile

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
new file mode 100644
index 00000000..89840ce0
--- /dev/null
+++ b/gpu.Dockerfile
@@ -0,0 +1,48 @@
+FROM nvidia/cuda:9.1-cudnn7-devel-ubuntu16.04 AS nvidia
+FROM gcr.io/kaggle-images/python-tensorflow-whl:1.11.0-py36 as tensorflow_whl
+FROM kaggle/python-build
+
+# Cuda support
+COPY --from=nvidia /etc/apt/sources.list.d/cuda.list /etc/apt/sources.list.d/
+COPY --from=nvidia /etc/apt/sources.list.d/nvidia-ml.list /etc/apt/sources.list.d/
+COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
+
+ENV CUDA_VERSION=9.1.85
+ENV CUDA_PKG_VERSION=9-1=$CUDA_VERSION-1
+LABEL com.nvidia.volumes.needed="nvidia_driver"
+LABEL com.nvidia.cuda.version="${CUDA_VERSION}"
+ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
+# The stub is useful to us both for built-time linking and run-time linking, on CPU-only systems.
+# When intended to be used with actual GPUs, make sure to (besides providing access to the host
+# CUDA user libraries, either manually or through the use of nvidia-docker) exclude them. One
+# convenient way to do so is to obscure its contents by a bind mount:
+#   docker run .... -v /non-existing-directory:/usr/local/cuda/lib64/stubs:ro ...
+ENV LD_LIBRARY_PATH="/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs"
+ENV NVIDIA_VISIBLE_DEVICES=all
+ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
+ENV NVIDIA_REQUIRE_CUDA="cuda>=9.0"
+RUN apt-get update && apt-get install -y --no-install-recommends \
+      cuda-cudart-$CUDA_PKG_VERSION \
+      cuda-libraries-$CUDA_PKG_VERSION \
+      cuda-libraries-dev-$CUDA_PKG_VERSION \
+      cuda-nvml-dev-$CUDA_PKG_VERSION \
+      cuda-minimal-build-$CUDA_PKG_VERSION \
+      cuda-command-line-tools-$CUDA_PKG_VERSION \
+      libcudnn7=7.0.5.15-1+cuda9.1 \
+      libcudnn7-dev=7.0.5.15-1+cuda9.1 \
+      libnccl2=2.2.12-1+cuda9.1 \
+      libnccl-dev=2.2.12-1+cuda9.1 && \
+    ln -s /usr/local/cuda-9.1 /usr/local/cuda && \
+    ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
+
+# Reinstall packages with a separate version for GPU support
+# Tensorflow
+COPY --from=tensorflow_whl /tmp/tensorflow_gpu/*.whl /tmp/tensorflow_gpu/
+RUN pip uninstall -y tensorflow && \
+    pip install /tmp/tensorflow_gpu/tensorflow*.whl && \
+    rm -rf /tmp/tensorflow_gpu && \
+    conda uninstall -y pytorch-cpu torchvision-cpu && \
+    conda install -y pytorch torchvision -c pytorch
+
+# Install GPU-only packages
+RUN pip install pycuda

From c8dd5650433de9db922457d537fa34d29b706e23 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 18 Sep 2018 21:57:56 +0000
Subject: [PATCH 0384/1660] Update Jenkins config to support GPU build

---
 Jenkinsfile | 31 ++++++++++++++++++++++++++++---
 1 file changed, 28 insertions(+), 3 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index cef5a0b4..00996d1a 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -17,7 +17,7 @@ pipeline {
   }
 
   stages {
-    stage('Docker Build') {
+    stage('Docker CPU Build') {
       steps {
         slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} docker build>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
         sh '''#!/bin/bash
@@ -28,7 +28,7 @@ pipeline {
       }
     }
 
-    stage('Test Image') {
+    stage('Test CPU Image') {
       steps {
         slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} test image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
         sh '''#!/bin/bash
@@ -39,8 +39,32 @@ pipeline {
         '''
       }
     }
+    
+    stage('Docker GPU Build') {
+      steps {
+        slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} docker build>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
+        sh '''#!/bin/bash
+          set -exo pipefail
+
+          ./build --gpu | ts
+        '''
+      }
+    }
+
+    stage('Test GPU Image') {
+      agent { label 'ephemeral-linux-gpu' }
+      steps {
+        slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} test image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
+        sh '''#!/bin/bash
+          set -exo pipefail
+
+          date
+          ./test --gpu
+        '''
+      }
+    }
 
-    stage('Push Image') {
+    stage('Push Images') {
       steps {
         slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} pushing image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
         sh '''#!/bin/bash
@@ -48,6 +72,7 @@ pipeline {
 
           date
           ./push staging
+          ./push --gpu staging
         '''
       }
     }

From 6cfb569a70eecb4264f9a398a76d63a58c51e79c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 19 Sep 2018 17:00:59 +0000
Subject: [PATCH 0385/1660] Fix typo

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 1e2dce6e..695aa187 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,7 +1,7 @@
 FROM gcr.io/kaggle-images/python-tensorflow-whl:1.11.0-py36 as tensorflow_whl
 FROM continuumio/anaconda3:5.0.1
 
-# This is necessary to for apt to access HTTPS sources
+# This is necessary for apt to access HTTPS sources
 RUN apt-get update && \
     apt-get install apt-transport-https
 

From 408cc24ef2ed6e705b75ad472958304398f415d1 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 19 Sep 2018 17:01:21 +0000
Subject: [PATCH 0386/1660] Make our helper scripts more robus

---
 build | 60 +++++++++++++++++++++++++++++++++++++++--------------------
 push  | 60 ++++++++++++++++++++++++++++++++++++++---------------------
 test  | 47 +++++++++++++++++++++++++++++++++++++---------
 3 files changed, 117 insertions(+), 50 deletions(-)

diff --git a/build b/build
index c2b44598..8bcd1a0e 100755
--- a/build
+++ b/build
@@ -1,29 +1,49 @@
 #!/bin/bash
-#
-# Build a new Python Docker image.
-#
-# Usage:
-#   ./build [--gpu] [--use-cache]
-#
-# Options:
-#   --gpu: Build an image with GPU support.
-#   --use-cache: Use layer cache when building a new image.
-# 
 set -e
-set -x
+
+usage() {
+cat << EOF
+Usage: $0 [OPTIONS]
+Build a new Python Docker image.
+
+Options:
+    -g, --gpu       Build an image with GPU support.
+    -c, --use-cache Use layer cache when building a new image.
+EOF
+}
 
 CACHE_FLAG="--no-cache"
-IMAGE_TAG="kaggle/python-build"
 DOCKERFILE="Dockerfile"
+IMAGE_TAG="kaggle/python-build"
+
+while :; do
+    case "$1" in 
+        -h|--help)
+            usage
+            exit
+            ;;
+        -g|--gpu)
+            IMAGE_TAG="kaggle/python-gpu-build"
+            DOCKERFILE="gpu.Dockerfile"
+            ;;
+        -c|--use-cache)
+            CACHE_FLAG=""
+            ;;
+        -?*)
+            usage
+            printf 'ERROR: Unknown option: %s\n' "$1" >&2
+            exit
+            ;;
+        *)            
+            break
+    esac
 
-if [[ "$1" == "--gpu" ]]; then
-    IMAGE_TAG="kaggle/python-gpu-build"
-    DOCKERFILE="gpu.Dockerfile"
     shift
-fi
+done
 
-if [[ "$1" ==  "--use-cache" ]]; then
-    CACHE_FLAG=""
-fi
+readonly CACHE_FLAG
+readonly DOCKERFILE
+readonly IMAGE_TAG
 
-docker build --rm $CACHE_FLAG -t $IMAGE_TAG -f $DOCKERFILE .
+set -x
+docker build --rm $CACHE_FLAG -t "$IMAGE_TAG" -f "$DOCKERFILE" .
diff --git a/push b/push
index a938abb5..79ad8f13 100755
--- a/push
+++ b/push
@@ -1,35 +1,53 @@
 #!/bin/bash
-#
-# Push a newly-built image with the given label to gcr.io and DockerHub.
-#
-# Usage:
-#   ./push [--gpu] [LABEL]
-#
-# Description:
-#   LABEL: Docker image label. Defaults to "testing".
-#
-# Options:
-#   --gpu: Psuh the image with GPU support.
-# 
 set -e
-set -x
+
+usage() {
+cat << EOF
+Usage: $0 [OPTIONS] [LABEL]
+Push a newly-built image with the given LABEL to gcr.io and DockerHub.
+
+Options:
+    -g, --gpu   Push the image with GPU support.
+EOF
+}
 
 SOURCE_IMAGE="kaggle/python-build"
 TARGET_IMAGE="gcr.io/kaggle-images/python"
 
-if [[ "$1" == "--gpu" ]]; then
-    SOURCE_IMAGE="kaggle/python-gpu-build"
-    TARGET_IMAGE="gcr.io/kaggle-private-byod/python"
+while :; do
+    case "$1" in 
+        -h|--help)
+            usage
+            exit
+            ;;
+        -g|--gpu)
+            SOURCE_IMAGE="kaggle/python-gpu-build"
+            TARGET_IMAGE="gcr.io/kaggle-private-byod/python"
+            ;;
+        -?*)
+            usage
+            printf 'ERROR: Unknown option: %s\n' "$1" >&2
+            exit
+            ;;
+        *)            
+            break
+    esac
+
     shift
-fi
+done
 
 LABEL=${1:-testing}
 
-docker tag $SOURCE_IMAGE:latest $TARGET_IMAGE:$LABEL
-gcloud docker -- push $TARGET_IMAGE:$LABEL
+readonly SOURCE_IMAGE
+readonly TARGET_IMAGE
+readonly LABEL
+
+set -x
+docker tag "${SOURCE_IMAGE}:latest" "${TARGET_IMAGE}:${LABEL}"
+gcloud docker -- push "${TARGET_IMAGE}:${LABEL}"
 
 # Only CPU images are made public at this time.
 if [[ "$LABEL" == "latest" && SOURCE_IMAGE = "kaggle/python-build" ]]; then
-  docker tag $SOURCE_IMAGE:latest kaggle/python:$LABEL
-  docker push kaggle/python:$LABEL
+  docker tag "${SOURCE_IMAGE}:latest" "kaggle/python:${LABEL}"
+  docker push "kaggle/python:${LABEL}"
 fi
diff --git a/test b/test
index b2086cc8..c336bb5e 100755
--- a/test
+++ b/test
@@ -1,7 +1,7 @@
 #!/bin/bash
 #
-# Run tests for a newly-built Python Docker image.
-# By default, it runs the tests for the CPU image.
+# 
+# 
 #
 # Usage:
 #   ./test [--gpu]
@@ -9,19 +9,48 @@
 # Options:
 #   --gpu: Run tests for the GPU image
 # 
-
 set -e
-set -x
+
+usage() {
+cat << EOF
+Usage: $0 [OPTIONS]
+Run tests for a newly-built Python Docker image.
+By default, it runs the tests for the CPU image.
+
+Options:
+    -g, --gpu   Run tests for the GPU image.
+EOF
+}
 
 IMAGE_TAG="kaggle/python-build"
 ADDITONAL_OPTS=""
 
-if [[ "$1" == "--gpu" ]]; then
-    IMAGE_TAG="kaggle/python-gpu-build"
-    ADDITONAL_OPTS="-v /tmp/empty_dir:/usr/local/cuda/lib64/stubs:ro"
+while :; do
+    case "$1" in 
+        -h|--help)
+            usage
+            exit
+            ;;
+        -g|--gpu)
+            IMAGE_TAG="kaggle/python-gpu-build"
+            ADDITONAL_OPTS="-v /tmp/empty_dir:/usr/local/cuda/lib64/stubs:ro"
+            ;;
+        -?*)
+            usage
+            printf 'ERROR: Unknown option: %s\n' "$1" >&2
+            exit
+            ;;
+        *)            
+            break
+    esac
+
     shift
-fi
+done
 
+readonly IMAGE_TAG
+readonly ADDITONAL_OPTS
+
+set -x
 rm -rf /tmp/python-build
 docker rm jupyter_test || true
 mkdir -p /tmp/python-build/tmp
@@ -39,5 +68,5 @@ docker run --rm -t --read-only --net=none \
     -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm \
     -w=/working \
     $ADDITONAL_OPTS \
-    $IMAGE_TAG \
+    "$IMAGE_TAG" \
     /bin/bash -c 'python -m unittest discover -s /input/tests'

From 1c2c907ce9f9d7e3f7a6ec1e3be01002b0caf068 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 19 Sep 2018 17:06:42 +0000
Subject: [PATCH 0387/1660] Remove extra comments

---
 test | 10 ----------
 1 file changed, 10 deletions(-)

diff --git a/test b/test
index c336bb5e..2545ce39 100755
--- a/test
+++ b/test
@@ -1,14 +1,4 @@
 #!/bin/bash
-#
-# 
-# 
-#
-# Usage:
-#   ./test [--gpu]
-#
-# Options:
-#   --gpu: Run tests for the GPU image
-# 
 set -e
 
 usage() {

From 77739d38954caa0fdc1cb34907b3e563878f7d81 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 19 Sep 2018 17:09:06 +0000
Subject: [PATCH 0388/1660] Minor fixes

---
 test | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/test b/test
index 2545ce39..42bc2c11 100755
--- a/test
+++ b/test
@@ -47,7 +47,7 @@ mkdir -p /tmp/python-build/tmp
 mkdir -p /tmp/python-build/devshm
 mkdir -p /tmp/python-build/working
 # Check that Jupyter server can run; if it dies on startup, the `docker kill` command will throw an error
-docker run -d --name=jupyter_test --read-only --net=none -e HOME=/tmp -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm $IMAGE_TAG jupyter notebook --allow-root --ip="*"
+docker run -d --name=jupyter_test --read-only --net=none -e HOME=/tmp -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm "$IMAGE_TAG" jupyter notebook --allow-root --ip="*"
 sleep 3
 docker kill jupyter_test && docker rm jupyter_test
 docker run --rm -t --read-only --net=none \

From 9cb9f600687c14e2a3921c0505fc7cc0afddbafb Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 19 Sep 2018 18:36:35 +0000
Subject: [PATCH 0389/1660] Fix Jenkins config

---
 Jenkinsfile    | 24 ++++++++++++++++++++++--
 gpu.Dockerfile |  2 +-
 2 files changed, 23 insertions(+), 3 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 00996d1a..07a455da 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -3,6 +3,7 @@ String cron_string = BRANCH_NAME == "master" ? "H 12 * * 1-5" : ""
 pipeline {
   agent { label 'ephemeral-linux' }
   options {
+    // The Build GPU stage depends on the image from the Push CPU stage
     disableConcurrentBuilds()
   }
   triggers {
@@ -39,8 +40,27 @@ pipeline {
         '''
       }
     }
+
+    stage('Push CPU Image') {
+      steps {
+        slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} pushing image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
+        sh '''#!/bin/bash
+          set -exo pipefail
+
+          date
+          ./push staging
+        '''
+      }
+    }
     
     stage('Docker GPU Build') {
+      // A GPU is not required to build this image. However, in our current setup,
+      // the default runtime is set to nvidia (as opposed to runc) and there
+      // is no option to specify a runtime for the `docker build` command.
+      //
+      // TODO(rosbo) don't set `nvidia` as the default runtime and use the
+      // `--runtime=nvidia` flag for the `docker run` command when GPU support is needed.
+      agent { label 'ephemeral-linux-gpu' }
       steps {
         slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} docker build>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
         sh '''#!/bin/bash
@@ -64,14 +84,14 @@ pipeline {
       }
     }
 
-    stage('Push Images') {
+    stage('Push GPU Image') {
+      agent { label 'ephemeral-linux-gpu' }
       steps {
         slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} pushing image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
         sh '''#!/bin/bash
           set -exo pipefail
 
           date
-          ./push staging
           ./push --gpu staging
         '''
       }
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 89840ce0..6124280f 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,6 +1,6 @@
 FROM nvidia/cuda:9.1-cudnn7-devel-ubuntu16.04 AS nvidia
 FROM gcr.io/kaggle-images/python-tensorflow-whl:1.11.0-py36 as tensorflow_whl
-FROM kaggle/python-build
+FROM gcr.io/kaggle-images/python:staging
 
 # Cuda support
 COPY --from=nvidia /etc/apt/sources.list.d/cuda.list /etc/apt/sources.list.d/

From c17404600129b767bc04b8bece3441fdb3c5ddaf Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 20 Sep 2018 10:59:51 -0700
Subject: [PATCH 0390/1660] Remove duplicate install of seaborn

already being install at line 20.
---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 695aa187..481b656a 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -439,7 +439,6 @@ RUN pip install bcolz && \
     pip install PyYAML && \
     pip install pyzmq && \
     pip install qtconsole && \
-    pip install seaborn && \
     pip install simplegeneric && \
     pip install six && \
     pip install terminado && \

From 8ff8232d975e2b0a4b8cc11c4083624d2cb9b774 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 21 Sep 2018 11:22:44 -0700
Subject: [PATCH 0391/1660] Update Dockerfile

---
 Dockerfile | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 481b656a..4560b620 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -63,7 +63,10 @@ RUN apt-get install -y libfreetype6-dev && \
     cd /usr/local/src && mkdir xgboost && cd xgboost && \
     git clone --depth 1 --recursive https://github.com/dmlc/xgboost.git && cd xgboost && \
     make && cd python-package && python setup.py install && \
-    pip install lightgbm && \
+    # Pinning to an older version. The latest release (2.2.0) depends on an old GLIBC version.
+    # This cause the package to fail at import time with "version `GLIBC_2.23' not found"
+    # TODO: Unpin once the latest release is fixed.
+    pip install lightgbm==2.1.2 && \
     #lasagne
     cd /usr/local/src && mkdir Lasagne && cd Lasagne && \
     git clone --depth 1 https://github.com/Lasagne/Lasagne.git && cd Lasagne && \

From 8085c063ffcdfa60e24f17a8cd961d25f116a5d5 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 21 Sep 2018 18:53:17 +0000
Subject: [PATCH 0392/1660] Add test for the lightgbm package

---
 tests/test_lightgbm.py | 33 +++++++++++++++++++++++++++++++++
 1 file changed, 33 insertions(+)
 create mode 100644 tests/test_lightgbm.py

diff --git a/tests/test_lightgbm.py b/tests/test_lightgbm.py
new file mode 100644
index 00000000..5727cacd
--- /dev/null
+++ b/tests/test_lightgbm.py
@@ -0,0 +1,33 @@
+import unittest
+
+import lightgbm as lgb
+
+from sklearn.datasets import load_iris
+
+class TestLightgbm(unittest.TestCase):
+    # Based on the "simple_example" from their documentation:
+    # https://github.com/Microsoft/LightGBM/blob/master/examples/python-guide/simple_example.py
+    def test_simple(self):
+        # Load a dataset aleady on disk
+        iris = load_iris()
+
+        lgb_train = lgb.Dataset(iris.data[:100], iris.target[:100])
+        lgb_eval = lgb.Dataset(iris.data[100:], iris.target[100:], reference=lgb_train)
+
+        params = {
+            'task': 'train',
+            'boosting_type': 'gbdt',
+            'objective': 'regression',
+            'metric': {'l2', 'auc'},
+            'num_leaves': 31,
+            'learning_rate': 0.05,
+            'feature_fraction': 0.9,
+            'bagging_fraction': 0.8,
+            'bagging_freq': 5,
+            'verbose': 0
+        }
+
+        # Run only one round for faster test
+        gbm = lgb.train(params, lgb_train, num_boost_round=1, valid_sets=lgb_eval, early_stopping_rounds=1)
+
+        self.assertEqual(1, gbm.best_iteration)

From 4fb5b680af7954806ab6d372033834c42d505918 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 21 Sep 2018 18:56:34 +0000
Subject: [PATCH 0393/1660] formatting

---
 tests/test_lightgbm.py | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/tests/test_lightgbm.py b/tests/test_lightgbm.py
index 5727cacd..213eb0ca 100644
--- a/tests/test_lightgbm.py
+++ b/tests/test_lightgbm.py
@@ -28,6 +28,10 @@ def test_simple(self):
         }
 
         # Run only one round for faster test
-        gbm = lgb.train(params, lgb_train, num_boost_round=1, valid_sets=lgb_eval, early_stopping_rounds=1)
+        gbm = lgb.train(params,
+                        lgb_train,
+                        num_boost_round=1,
+                        valid_sets=lgb_eval,
+                        early_stopping_rounds=1)
 
         self.assertEqual(1, gbm.best_iteration)

From a15031bac4beba79ec44bf52e261e9b0616be0fd Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 21 Sep 2018 14:09:29 -0700
Subject: [PATCH 0394/1660] Always pull the latest parent images at build

---
 build | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/build b/build
index 8bcd1a0e..0b8c662b 100755
--- a/build
+++ b/build
@@ -46,4 +46,4 @@ readonly DOCKERFILE
 readonly IMAGE_TAG
 
 set -x
-docker build --rm $CACHE_FLAG -t "$IMAGE_TAG" -f "$DOCKERFILE" .
+docker build --rm --pull $CACHE_FLAG -t "$IMAGE_TAG" -f "$DOCKERFILE" .

From 561f3abad225f95869eefcd85e6528a48d4e7f5a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 20 Sep 2018 21:22:42 +0000
Subject: [PATCH 0395/1660] Expand keras tests to cover conv net

---
 tests/test_keras.py | 36 ++++++++++++++++++++++++++++++++++--
 1 file changed, 34 insertions(+), 2 deletions(-)

diff --git a/tests/test_keras.py b/tests/test_keras.py
index ca107563..cdaa7cb9 100644
--- a/tests/test_keras.py
+++ b/tests/test_keras.py
@@ -1,10 +1,11 @@
 import unittest
 
+import numpy as np
 import pandas as pd
 
 from keras.models import Sequential
-from keras.layers import Dense
-from keras.optimizers import RMSprop
+from keras.layers import Dense, Dropout, Flatten, Conv2D, MaxPooling2D
+from keras.optimizers import RMSprop, SGD
 from keras.utils.np_utils import to_categorical
 
 class TestKeras(unittest.TestCase):
@@ -23,3 +24,34 @@ def test_train(self):
             metrics=['accuracy'])
 
         model.fit(x_train, y_train, epochs=1, batch_size=32)
+    
+    def test_conv2d(self):
+        # Generate dummy data
+        x_train = np.random.random((100, 100, 100, 3))
+        y_train = keras.utils.to_categorical(np.random.randint(10, size=(100, 1)), num_classes=10)
+        x_test = np.random.random((20, 100, 100, 3))
+        y_test = keras.utils.to_categorical(np.random.randint(10, size=(20, 1)), num_classes=10)
+
+        model = Sequential()
+        # input: 100x100 images with 3 channels -> (100, 100, 3) tensors.
+        # this applies 32 convolution filters of size 3x3 each.
+        model.add(Conv2D(32, (3, 3), activation='relu', input_shape=(100, 100, 3)))
+        model.add(Conv2D(32, (3, 3), activation='relu'))
+        model.add(MaxPooling2D(pool_size=(2, 2)))
+        model.add(Dropout(0.25))
+
+        model.add(Conv2D(64, (3, 3), activation='relu'))
+        model.add(Conv2D(64, (3, 3), activation='relu'))
+        model.add(MaxPooling2D(pool_size=(2, 2)))
+        model.add(Dropout(0.25))
+
+        model.add(Flatten())
+        model.add(Dense(256, activation='relu'))
+        model.add(Dropout(0.5))
+        model.add(Dense(10, activation='softmax'))
+
+        sgd = SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
+        model.compile(loss='categorical_crossentropy', optimizer=sgd)
+
+        model.fit(x_train, y_train, batch_size=32, epochs=1)
+        score = model.evaluate(x_test, y_test, batch_size=32)

From f9386a24daf660bf6c583016cf63a8d7ea668385 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 20 Sep 2018 22:40:20 +0000
Subject: [PATCH 0396/1660] use libcudnn7.2 and cuda 9.2

---
 gpu.Dockerfile      | 30 ++++++++++++++++--------------
 tests/test_keras.py |  1 +
 2 files changed, 17 insertions(+), 14 deletions(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 6124280f..45515596 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,4 +1,4 @@
-FROM nvidia/cuda:9.1-cudnn7-devel-ubuntu16.04 AS nvidia
+FROM nvidia/cuda:9.2-cudnn7-devel-ubuntu16.04 AS nvidia
 FROM gcr.io/kaggle-images/python-tensorflow-whl:1.11.0-py36 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:staging
 
@@ -7,8 +7,8 @@ COPY --from=nvidia /etc/apt/sources.list.d/cuda.list /etc/apt/sources.list.d/
 COPY --from=nvidia /etc/apt/sources.list.d/nvidia-ml.list /etc/apt/sources.list.d/
 COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
 
-ENV CUDA_VERSION=9.1.85
-ENV CUDA_PKG_VERSION=9-1=$CUDA_VERSION-1
+ENV CUDA_VERSION=9.2.88
+ENV CUDA_PKG_VERSION=9-2=$CUDA_VERSION-1
 LABEL com.nvidia.volumes.needed="nvidia_driver"
 LABEL com.nvidia.cuda.version="${CUDA_VERSION}"
 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
@@ -22,17 +22,19 @@ ENV NVIDIA_VISIBLE_DEVICES=all
 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
 ENV NVIDIA_REQUIRE_CUDA="cuda>=9.0"
 RUN apt-get update && apt-get install -y --no-install-recommends \
-      cuda-cudart-$CUDA_PKG_VERSION \
-      cuda-libraries-$CUDA_PKG_VERSION \
-      cuda-libraries-dev-$CUDA_PKG_VERSION \
-      cuda-nvml-dev-$CUDA_PKG_VERSION \
-      cuda-minimal-build-$CUDA_PKG_VERSION \
-      cuda-command-line-tools-$CUDA_PKG_VERSION \
-      libcudnn7=7.0.5.15-1+cuda9.1 \
-      libcudnn7-dev=7.0.5.15-1+cuda9.1 \
-      libnccl2=2.2.12-1+cuda9.1 \
-      libnccl-dev=2.2.12-1+cuda9.1 && \
-    ln -s /usr/local/cuda-9.1 /usr/local/cuda && \
+        cuda-cupti-$CUDA_PKG_VERSION \
+        cuda-cudart-$CUDA_PKG_VERSION \
+        cuda-cudart-dev-$CUDA_PKG_VERSION \
+        cuda-libraries-$CUDA_PKG_VERSION \
+        cuda-libraries-dev-$CUDA_PKG_VERSION \
+        cuda-nvml-dev-$CUDA_PKG_VERSION \
+        cuda-minimal-build-$CUDA_PKG_VERSION \
+        cuda-command-line-tools-$CUDA_PKG_VERSION \
+        libcudnn7=7.2.1.38-1+cuda9.2 \
+        libcudnn7-dev=7.2.1.38-1+cuda9.2 \
+        libnccl2=2.2.13-1+cuda9.2 \
+        libnccl-dev=2.2.13-1+cuda9.2 && \
+    ln -s /usr/local/cuda-9.2 /usr/local/cuda && \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
 
 # Reinstall packages with a separate version for GPU support
diff --git a/tests/test_keras.py b/tests/test_keras.py
index cdaa7cb9..fc6448e3 100644
--- a/tests/test_keras.py
+++ b/tests/test_keras.py
@@ -1,5 +1,6 @@
 import unittest
 
+import keras
 import numpy as np
 import pandas as pd
 

From 626ba4cbd0bf3043446ab26b8fb8c778cafa0d32 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 21 Sep 2018 17:12:20 +0000
Subject: [PATCH 0397/1660] Use libcudnn 7.2

---
 gpu.Dockerfile      | 31 +++++++++++++++----------------
 tests/test_keras.py |  8 +++++---
 2 files changed, 20 insertions(+), 19 deletions(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 45515596..247c7dd4 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,4 +1,4 @@
-FROM nvidia/cuda:9.2-cudnn7-devel-ubuntu16.04 AS nvidia
+FROM nvidia/cuda:9.1-cudnn7-devel-ubuntu16.04 AS nvidia
 FROM gcr.io/kaggle-images/python-tensorflow-whl:1.11.0-py36 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:staging
 
@@ -7,8 +7,8 @@ COPY --from=nvidia /etc/apt/sources.list.d/cuda.list /etc/apt/sources.list.d/
 COPY --from=nvidia /etc/apt/sources.list.d/nvidia-ml.list /etc/apt/sources.list.d/
 COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
 
-ENV CUDA_VERSION=9.2.88
-ENV CUDA_PKG_VERSION=9-2=$CUDA_VERSION-1
+ENV CUDA_VERSION=9.1.85
+ENV CUDA_PKG_VERSION=9-1=$CUDA_VERSION-1
 LABEL com.nvidia.volumes.needed="nvidia_driver"
 LABEL com.nvidia.cuda.version="${CUDA_VERSION}"
 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
@@ -22,19 +22,18 @@ ENV NVIDIA_VISIBLE_DEVICES=all
 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
 ENV NVIDIA_REQUIRE_CUDA="cuda>=9.0"
 RUN apt-get update && apt-get install -y --no-install-recommends \
-        cuda-cupti-$CUDA_PKG_VERSION \
-        cuda-cudart-$CUDA_PKG_VERSION \
-        cuda-cudart-dev-$CUDA_PKG_VERSION \
-        cuda-libraries-$CUDA_PKG_VERSION \
-        cuda-libraries-dev-$CUDA_PKG_VERSION \
-        cuda-nvml-dev-$CUDA_PKG_VERSION \
-        cuda-minimal-build-$CUDA_PKG_VERSION \
-        cuda-command-line-tools-$CUDA_PKG_VERSION \
-        libcudnn7=7.2.1.38-1+cuda9.2 \
-        libcudnn7-dev=7.2.1.38-1+cuda9.2 \
-        libnccl2=2.2.13-1+cuda9.2 \
-        libnccl-dev=2.2.13-1+cuda9.2 && \
-    ln -s /usr/local/cuda-9.2 /usr/local/cuda && \
+      cuda-cupti-$CUDA_PKG_VERSION \
+      cuda-cudart-$CUDA_PKG_VERSION \
+      cuda-libraries-$CUDA_PKG_VERSION \
+      cuda-libraries-dev-$CUDA_PKG_VERSION \
+      cuda-nvml-dev-$CUDA_PKG_VERSION \
+      cuda-minimal-build-$CUDA_PKG_VERSION \
+      cuda-command-line-tools-$CUDA_PKG_VERSION \
+      libcudnn7=7.2.1.38-1+cuda9.0 \
+      libcudnn7-dev=7.2.1.38-1+cuda9.0 \
+      libnccl2=2.2.12-1+cuda9.1 \
+      libnccl-dev=2.2.12-1+cuda9.1 && \
+    ln -s /usr/local/cuda-9.1 /usr/local/cuda && \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
 
 # Reinstall packages with a separate version for GPU support
diff --git a/tests/test_keras.py b/tests/test_keras.py
index fc6448e3..9f8a1e4c 100644
--- a/tests/test_keras.py
+++ b/tests/test_keras.py
@@ -25,7 +25,8 @@ def test_train(self):
             metrics=['accuracy'])
 
         model.fit(x_train, y_train, epochs=1, batch_size=32)
-    
+
+    # Uses convnet which depends on libcudnn when running on GPU
     def test_conv2d(self):
         # Generate dummy data
         x_train = np.random.random((100, 100, 100, 3))
@@ -52,7 +53,8 @@ def test_conv2d(self):
         model.add(Dense(10, activation='softmax'))
 
         sgd = SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
-        model.compile(loss='categorical_crossentropy', optimizer=sgd)
 
+        # This throws if libcudnn is not properly installed with on a GPU
+        model.compile(loss='categorical_crossentropy', optimizer=sgd)
         model.fit(x_train, y_train, batch_size=32, epochs=1)
-        score = model.evaluate(x_test, y_test, batch_size=32)
+        model.evaluate(x_test, y_test, batch_size=32)

From ec25fd3099e5c921c9818cbafe48a520e991d87a Mon Sep 17 00:00:00 2001
From: Gyczero <2997347185@qq.com>
Date: Sat, 22 Sep 2018 18:53:54 +0800
Subject: [PATCH 0398/1660] ADD unit test for jieba

---
 tests/test_jieba.py | 10 ++++++++++
 1 file changed, 10 insertions(+)
 create mode 100644 tests/test_jieba.py

diff --git a/tests/test_jieba.py b/tests/test_jieba.py
new file mode 100644
index 00000000..745545f0
--- /dev/null
+++ b/tests/test_jieba.py
@@ -0,0 +1,10 @@
+# encoding=utf-8
+import unittest
+
+import jieba
+
+
+class TestJieba(unittest.TestCase):
+    def test_text_split(self):
+        sentence = "我爱北京天安门"
+        seg_list = jieba.cut(sentence)
\ No newline at end of file

From 3d3aeb69ed8ae29e3ecc87d9bcbf240619f0e698 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 1 Oct 2018 11:00:40 -0700
Subject: [PATCH 0399/1660] Prevent disk from filling up on GPU build

The GPU build is still using a permanent worker (not ephemeral like the CPU build).

Docker images are building up and end up taking all the space and the build start failing.
---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 07a455da..5e32b76c 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -65,7 +65,7 @@ pipeline {
         slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} docker build>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
         sh '''#!/bin/bash
           set -exo pipefail
-
+          docker image prune # remove previously built image to prevent disk from filling up
           ./build --gpu | ts
         '''
       }

From 321eeb52d623138d3191d01b146bd17c0a2327cb Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 1 Oct 2018 16:23:07 -0700
Subject: [PATCH 0400/1660] Remove all untagged images, not just dangling

Context: gpu build still uses a permanent worker.
---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 5e32b76c..702898fb 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -65,7 +65,7 @@ pipeline {
         slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} docker build>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
         sh '''#!/bin/bash
           set -exo pipefail
-          docker image prune # remove previously built image to prevent disk from filling up
+          docker image prune -a # remove previously built image to prevent disk from filling up
           ./build --gpu | ts
         '''
       }

From 560af468065cfd51c3b96d6526a19fe5d2817715 Mon Sep 17 00:00:00 2001
From: Gyczero <2997347185@qq.com>
Date: Tue, 2 Oct 2018 12:18:13 +0800
Subject: [PATCH 0401/1660] Add an assertion for jieba

---
 .../inspectionProfiles/Project_Default.xml    |  14 +
 .../inspectionProfiles/profiles_settings.xml  |   7 +
 tests/.idea/misc.xml                          |  14 +
 tests/.idea/modules.xml                       |   8 +
 tests/.idea/tests.iml                         |  11 +
 tests/.idea/workspace.xml                     | 698 ++++++++++++++++++
 tests/test_jieba.py                           |   5 +-
 7 files changed, 756 insertions(+), 1 deletion(-)
 create mode 100644 tests/.idea/inspectionProfiles/Project_Default.xml
 create mode 100644 tests/.idea/inspectionProfiles/profiles_settings.xml
 create mode 100644 tests/.idea/misc.xml
 create mode 100644 tests/.idea/modules.xml
 create mode 100644 tests/.idea/tests.iml
 create mode 100644 tests/.idea/workspace.xml

diff --git a/tests/.idea/inspectionProfiles/Project_Default.xml b/tests/.idea/inspectionProfiles/Project_Default.xml
new file mode 100644
index 00000000..7700bea2
--- /dev/null
+++ b/tests/.idea/inspectionProfiles/Project_Default.xml
@@ -0,0 +1,14 @@
+<component name="InspectionProjectProfileManager">
+  <profile version="1.0">
+    <option name="myName" value="Project Default" />
+    <option name="myLocal" value="true" />
+    <inspection_tool class="PyPep8Inspection" enabled="true" level="WEAK WARNING" enabled_by_default="true">
+      <option name="ignoredErrors">
+        <list>
+          <option value="" />
+          <option value="E101" />
+        </list>
+      </option>
+    </inspection_tool>
+  </profile>
+</component>
\ No newline at end of file
diff --git a/tests/.idea/inspectionProfiles/profiles_settings.xml b/tests/.idea/inspectionProfiles/profiles_settings.xml
new file mode 100644
index 00000000..c60c33bb
--- /dev/null
+++ b/tests/.idea/inspectionProfiles/profiles_settings.xml
@@ -0,0 +1,7 @@
+<component name="InspectionProjectProfileManager">
+  <settings>
+    <option name="PROJECT_PROFILE" />
+    <option name="USE_PROJECT_PROFILE" value="false" />
+    <version value="1.0" />
+  </settings>
+</component>
\ No newline at end of file
diff --git a/tests/.idea/misc.xml b/tests/.idea/misc.xml
new file mode 100644
index 00000000..559ad2b6
--- /dev/null
+++ b/tests/.idea/misc.xml
@@ -0,0 +1,14 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectLevelVcsManager" settingsEditedManually="false">
+    <OptionsSetting value="true" id="Add" />
+    <OptionsSetting value="true" id="Remove" />
+    <OptionsSetting value="true" id="Checkout" />
+    <OptionsSetting value="true" id="Update" />
+    <OptionsSetting value="true" id="Status" />
+    <OptionsSetting value="true" id="Edit" />
+    <ConfirmationsSetting value="0" id="Add" />
+    <ConfirmationsSetting value="0" id="Remove" />
+  </component>
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 2.7.12 (~/anaconda/bin/python)" project-jdk-type="Python SDK" />
+</project>
\ No newline at end of file
diff --git a/tests/.idea/modules.xml b/tests/.idea/modules.xml
new file mode 100644
index 00000000..dac5cbb1
--- /dev/null
+++ b/tests/.idea/modules.xml
@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/tests.iml" filepath="$PROJECT_DIR$/.idea/tests.iml" />
+    </modules>
+  </component>
+</project>
\ No newline at end of file
diff --git a/tests/.idea/tests.iml b/tests/.idea/tests.iml
new file mode 100644
index 00000000..08bd4824
--- /dev/null
+++ b/tests/.idea/tests.iml
@@ -0,0 +1,11 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<module type="PYTHON_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <content url="file://$MODULE_DIR$" />
+    <orderEntry type="jdk" jdkName="Python 2.7.12 (~/anaconda/bin/python)" jdkType="Python SDK" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+  <component name="TestRunnerService">
+    <option name="PROJECT_TEST_RUNNER" value="Unittests" />
+  </component>
+</module>
\ No newline at end of file
diff --git a/tests/.idea/workspace.xml b/tests/.idea/workspace.xml
new file mode 100644
index 00000000..f9541e62
--- /dev/null
+++ b/tests/.idea/workspace.xml
@@ -0,0 +1,698 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ChangeListManager">
+    <list default="true" id="db6c12ef-5bf7-4b6c-a890-95bbddf0386a" name="Default" comment="" />
+    <ignored path="tests.iws" />
+    <ignored path=".idea/workspace.xml" />
+    <option name="EXCLUDED_CONVERTED_TO_IGNORED" value="true" />
+    <option name="TRACKING_ENABLED" value="true" />
+    <option name="SHOW_DIALOG" value="false" />
+    <option name="HIGHLIGHT_CONFLICTS" value="true" />
+    <option name="HIGHLIGHT_NON_ACTIVE_CHANGELIST" value="false" />
+    <option name="LAST_RESOLUTION" value="IGNORE" />
+  </component>
+  <component name="CreatePatchCommitExecutor">
+    <option name="PATCH_PATH" value="" />
+  </component>
+  <component name="ExecutionTargetManager" SELECTED_TARGET="default_target" />
+  <component name="FavoritesManager">
+    <favorites_list name="tests" />
+  </component>
+  <component name="FileEditorManager">
+    <leaf SIDE_TABS_SIZE_LIMIT_KEY="300">
+      <file leaf-file-name="test_jieba.py" pinned="false" current-in-tab="true">
+        <entry file="file://$PROJECT_DIR$/test_jieba.py">
+          <provider selected="true" editor-type-id="text-editor">
+            <state relative-caret-position="180">
+              <caret line="12" column="31" selection-start-line="12" selection-start-column="31" selection-end-line="12" selection-end-column="31" />
+              <folding>
+                <element signature="e#17#32#0" expanded="true" />
+              </folding>
+            </state>
+          </provider>
+        </entry>
+      </file>
+      <file leaf-file-name="test_pandas.py" pinned="false" current-in-tab="false">
+        <entry file="file://$PROJECT_DIR$/test_pandas.py">
+          <provider selected="true" editor-type-id="text-editor">
+            <state relative-caret-position="0">
+              <caret line="0" column="0" selection-start-line="0" selection-start-column="0" selection-end-line="0" selection-end-column="0" />
+              <folding>
+                <element signature="e#0#15#0" expanded="true" />
+              </folding>
+            </state>
+          </provider>
+        </entry>
+      </file>
+      <file leaf-file-name="test_bokeh.py" pinned="false" current-in-tab="false">
+        <entry file="file://$PROJECT_DIR$/test_bokeh.py">
+          <provider selected="true" editor-type-id="text-editor">
+            <state relative-caret-position="0">
+              <caret line="0" column="0" selection-start-line="0" selection-start-column="0" selection-end-line="0" selection-end-column="0" />
+              <folding>
+                <element signature="e#0#15#0" expanded="true" />
+              </folding>
+            </state>
+          </provider>
+        </entry>
+      </file>
+      <file leaf-file-name="test_essentia.py" pinned="false" current-in-tab="false">
+        <entry file="file://$PROJECT_DIR$/test_essentia.py">
+          <provider selected="true" editor-type-id="text-editor">
+            <state relative-caret-position="0">
+              <caret line="0" column="0" selection-start-line="0" selection-start-column="0" selection-end-line="0" selection-end-column="0" />
+              <folding>
+                <element signature="e#0#15#0" expanded="true" />
+              </folding>
+            </state>
+          </provider>
+        </entry>
+      </file>
+      <file leaf-file-name="test_fasttext.py" pinned="false" current-in-tab="false">
+        <entry file="file://$PROJECT_DIR$/test_fasttext.py">
+          <provider selected="true" editor-type-id="text-editor">
+            <state relative-caret-position="0">
+              <caret line="0" column="0" selection-start-line="0" selection-start-column="0" selection-end-line="0" selection-end-column="0" />
+              <folding>
+                <element signature="e#0#15#0" expanded="true" />
+              </folding>
+            </state>
+          </provider>
+        </entry>
+      </file>
+      <file leaf-file-name="test_fastai.py" pinned="false" current-in-tab="false">
+        <entry file="file://$PROJECT_DIR$/test_fastai.py">
+          <provider selected="true" editor-type-id="text-editor">
+            <state relative-caret-position="0">
+              <caret line="0" column="0" selection-start-line="0" selection-start-column="0" selection-end-line="0" selection-end-column="0" />
+              <folding>
+                <element signature="e#0#15#0" expanded="true" />
+              </folding>
+            </state>
+          </provider>
+        </entry>
+      </file>
+      <file leaf-file-name="test_gensim.py" pinned="false" current-in-tab="false">
+        <entry file="file://$PROJECT_DIR$/test_gensim.py">
+          <provider selected="true" editor-type-id="text-editor">
+            <state relative-caret-position="0">
+              <caret line="0" column="0" selection-start-line="0" selection-start-column="0" selection-end-line="0" selection-end-column="0" />
+              <folding>
+                <element signature="e#0#15#0" expanded="true" />
+              </folding>
+            </state>
+          </provider>
+        </entry>
+      </file>
+      <file leaf-file-name="test_keras.py" pinned="false" current-in-tab="false">
+        <entry file="file://$PROJECT_DIR$/test_keras.py">
+          <provider selected="true" editor-type-id="text-editor">
+            <state relative-caret-position="0">
+              <caret line="0" column="0" selection-start-line="0" selection-start-column="0" selection-end-line="0" selection-end-column="0" />
+              <folding>
+                <element signature="e#0#15#0" expanded="true" />
+              </folding>
+            </state>
+          </provider>
+        </entry>
+      </file>
+      <file leaf-file-name="test_kmapper.py" pinned="false" current-in-tab="false">
+        <entry file="file://$PROJECT_DIR$/test_kmapper.py">
+          <provider selected="true" editor-type-id="text-editor">
+            <state relative-caret-position="0">
+              <caret line="0" column="0" selection-start-line="0" selection-start-column="0" selection-end-line="0" selection-end-column="0" />
+              <folding>
+                <element signature="e#0#15#0" expanded="true" />
+              </folding>
+            </state>
+          </provider>
+        </entry>
+      </file>
+      <file leaf-file-name="test_matplotlib.py" pinned="false" current-in-tab="false">
+        <entry file="file://$PROJECT_DIR$/test_matplotlib.py">
+          <provider selected="true" editor-type-id="text-editor">
+            <state relative-caret-position="0">
+              <caret line="0" column="0" selection-start-line="0" selection-start-column="0" selection-end-line="0" selection-end-column="0" />
+              <folding>
+                <element signature="e#0#15#0" expanded="true" />
+              </folding>
+            </state>
+          </provider>
+        </entry>
+      </file>
+    </leaf>
+  </component>
+  <component name="IdeDocumentHistory">
+    <option name="CHANGED_PATHS">
+      <list>
+        <option value="$PROJECT_DIR$/test_jieba.py" />
+      </list>
+    </option>
+  </component>
+  <component name="ProjectFrameBounds">
+    <option name="x" value="548" />
+    <option name="y" value="23" />
+    <option name="width" value="932" />
+    <option name="height" value="873" />
+  </component>
+  <component name="ProjectInspectionProfilesVisibleTreeState">
+    <entry key="Project Default">
+      <profile-state>
+        <expanded-state>
+          <State>
+            <id />
+          </State>
+          <State>
+            <id>Python</id>
+          </State>
+        </expanded-state>
+        <selected-state>
+          <State>
+            <id>PyPep8Inspection</id>
+          </State>
+        </selected-state>
+      </profile-state>
+    </entry>
+  </component>
+  <component name="ProjectLevelVcsManager" settingsEditedManually="false">
+    <OptionsSetting value="true" id="Add" />
+    <OptionsSetting value="true" id="Remove" />
+    <OptionsSetting value="true" id="Checkout" />
+    <OptionsSetting value="true" id="Update" />
+    <OptionsSetting value="true" id="Status" />
+    <OptionsSetting value="true" id="Edit" />
+    <ConfirmationsSetting value="0" id="Add" />
+    <ConfirmationsSetting value="0" id="Remove" />
+  </component>
+  <component name="ProjectView">
+    <navigator currentView="ProjectPane" proportions="" version="1">
+      <flattenPackages />
+      <showMembers />
+      <showModules />
+      <showLibraryContents />
+      <hideEmptyPackages />
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+      <provider selected="true" editor-type-id="text-editor">
+        <state relative-caret-position="0">
+          <caret line="0" column="0" selection-start-line="0" selection-start-column="0" selection-end-line="0" selection-end-column="0" />
+          <folding>
+            <element signature="e#0#15#0" expanded="true" />
+          </folding>
+        </state>
+      </provider>
+    </entry>
+    <entry file="file://$PROJECT_DIR$/test_fasttext.py">
+      <provider selected="true" editor-type-id="text-editor">
+        <state relative-caret-position="0">
+          <caret line="0" column="0" selection-start-line="0" selection-start-column="0" selection-end-line="0" selection-end-column="0" />
+          <folding>
+            <element signature="e#0#15#0" expanded="true" />
+          </folding>
+        </state>
+      </provider>
+    </entry>
+    <entry file="file://$PROJECT_DIR$/test_gensim.py">
+      <provider selected="true" editor-type-id="text-editor">
+        <state relative-caret-position="0">
+          <caret line="0" column="0" selection-start-line="0" selection-start-column="0" selection-end-line="0" selection-end-column="0" />
+          <folding>
+            <element signature="e#0#15#0" expanded="true" />
+          </folding>
+        </state>
+      </provider>
+    </entry>
+    <entry file="file://$PROJECT_DIR$/test_keras.py">
+      <provider selected="true" editor-type-id="text-editor">
+        <state relative-caret-position="0">
+          <caret line="0" column="0" selection-start-line="0" selection-start-column="0" selection-end-line="0" selection-end-column="0" />
+          <folding>
+            <element signature="e#0#15#0" expanded="true" />
+          </folding>
+        </state>
+      </provider>
+    </entry>
+    <entry file="file://$PROJECT_DIR$/test_kmapper.py">
+      <provider selected="true" editor-type-id="text-editor">
+        <state relative-caret-position="0">
+          <caret line="0" column="0" selection-start-line="0" selection-start-column="0" selection-end-line="0" selection-end-column="0" />
+          <folding>
+            <element signature="e#0#15#0" expanded="true" />
+          </folding>
+        </state>
+      </provider>
+    </entry>
+    <entry file="file://$PROJECT_DIR$/test_matplotlib.py">
+      <provider selected="true" editor-type-id="text-editor">
+        <state relative-caret-position="0">
+          <caret line="0" column="0" selection-start-line="0" selection-start-column="0" selection-end-line="0" selection-end-column="0" />
+          <folding>
+            <element signature="e#0#15#0" expanded="true" />
+          </folding>
+        </state>
+      </provider>
+    </entry>
+    <entry file="file://$PROJECT_DIR$/test_pandas.py">
+      <provider selected="true" editor-type-id="text-editor">
+        <state relative-caret-position="0">
+          <caret line="0" column="0" selection-start-line="0" selection-start-column="0" selection-end-line="0" selection-end-column="0" />
+          <folding>
+            <element signature="e#0#15#0" expanded="true" />
+          </folding>
+        </state>
+      </provider>
+    </entry>
+    <entry file="file://$PROJECT_DIR$/test_jieba.py">
+      <provider selected="true" editor-type-id="text-editor">
+        <state relative-caret-position="180">
+          <caret line="12" column="31" selection-start-line="12" selection-start-column="31" selection-end-line="12" selection-end-column="31" />
+          <folding>
+            <element signature="e#17#32#0" expanded="true" />
+          </folding>
+        </state>
+      </provider>
+    </entry>
+  </component>
+</project>
\ No newline at end of file
diff --git a/tests/test_jieba.py b/tests/test_jieba.py
index 745545f0..44e49b0e 100644
--- a/tests/test_jieba.py
+++ b/tests/test_jieba.py
@@ -7,4 +7,7 @@
 class TestJieba(unittest.TestCase):
     def test_text_split(self):
         sentence = "我爱北京天安门"
-        seg_list = jieba.cut(sentence)
\ No newline at end of file
+        seg_list = jieba.cut(sentence)
+        seg_list = list(seg_list)
+
+        self.assertEqual(4, len(seg_list))
\ No newline at end of file

From 2a22bbe2993eab9c0b5ff0f070503b3468dd9e6e Mon Sep 17 00:00:00 2001
From: Gyczerinvis <2997347185@qq.com>
Date: Tue, 2 Oct 2018 12:21:08 +0800
Subject: [PATCH 0402/1660] Delete Project_Default.xml

---
 tests/.idea/inspectionProfiles/Project_Default.xml | 14 --------------
 1 file changed, 14 deletions(-)
 delete mode 100644 tests/.idea/inspectionProfiles/Project_Default.xml

diff --git a/tests/.idea/inspectionProfiles/Project_Default.xml b/tests/.idea/inspectionProfiles/Project_Default.xml
deleted file mode 100644
index 7700bea2..00000000
--- a/tests/.idea/inspectionProfiles/Project_Default.xml
+++ /dev/null
@@ -1,14 +0,0 @@
-<component name="InspectionProjectProfileManager">
-  <profile version="1.0">
-    <option name="myName" value="Project Default" />
-    <option name="myLocal" value="true" />
-    <inspection_tool class="PyPep8Inspection" enabled="true" level="WEAK WARNING" enabled_by_default="true">
-      <option name="ignoredErrors">
-        <list>
-          <option value="" />
-          <option value="E101" />
-        </list>
-      </option>
-    </inspection_tool>
-  </profile>
-</component>
\ No newline at end of file

From e36a92c0a8c31313b881bfcaa7c95051087acd69 Mon Sep 17 00:00:00 2001
From: Gyczerinvis <2997347185@qq.com>
Date: Tue, 2 Oct 2018 12:21:17 +0800
Subject: [PATCH 0403/1660] Delete profiles_settings.xml

---
 tests/.idea/inspectionProfiles/profiles_settings.xml | 7 -------
 1 file changed, 7 deletions(-)
 delete mode 100644 tests/.idea/inspectionProfiles/profiles_settings.xml

diff --git a/tests/.idea/inspectionProfiles/profiles_settings.xml b/tests/.idea/inspectionProfiles/profiles_settings.xml
deleted file mode 100644
index c60c33bb..00000000
--- a/tests/.idea/inspectionProfiles/profiles_settings.xml
+++ /dev/null
@@ -1,7 +0,0 @@
-<component name="InspectionProjectProfileManager">
-  <settings>
-    <option name="PROJECT_PROFILE" />
-    <option name="USE_PROJECT_PROFILE" value="false" />
-    <version value="1.0" />
-  </settings>
-</component>
\ No newline at end of file

From a14b211232c8ad5bb4a7cb921ea8ce520f626653 Mon Sep 17 00:00:00 2001
From: Gyczerinvis <2997347185@qq.com>
Date: Tue, 2 Oct 2018 12:21:26 +0800
Subject: [PATCH 0404/1660] Delete misc.xml

---
 tests/.idea/misc.xml | 14 --------------
 1 file changed, 14 deletions(-)
 delete mode 100644 tests/.idea/misc.xml

diff --git a/tests/.idea/misc.xml b/tests/.idea/misc.xml
deleted file mode 100644
index 559ad2b6..00000000
--- a/tests/.idea/misc.xml
+++ /dev/null
@@ -1,14 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<project version="4">
-  <component name="ProjectLevelVcsManager" settingsEditedManually="false">
-    <OptionsSetting value="true" id="Add" />
-    <OptionsSetting value="true" id="Remove" />
-    <OptionsSetting value="true" id="Checkout" />
-    <OptionsSetting value="true" id="Update" />
-    <OptionsSetting value="true" id="Status" />
-    <OptionsSetting value="true" id="Edit" />
-    <ConfirmationsSetting value="0" id="Add" />
-    <ConfirmationsSetting value="0" id="Remove" />
-  </component>
-  <component name="ProjectRootManager" version="2" project-jdk-name="Python 2.7.12 (~/anaconda/bin/python)" project-jdk-type="Python SDK" />
-</project>
\ No newline at end of file

From 639e2232e1d1dea7daf7716bd3407ad1626a1b7d Mon Sep 17 00:00:00 2001
From: Gyczerinvis <2997347185@qq.com>
Date: Tue, 2 Oct 2018 12:21:46 +0800
Subject: [PATCH 0405/1660] Delete workspace.xml

---
 tests/.idea/workspace.xml | 698 --------------------------------------
 1 file changed, 698 deletions(-)
 delete mode 100644 tests/.idea/workspace.xml

diff --git a/tests/.idea/workspace.xml b/tests/.idea/workspace.xml
deleted file mode 100644
index f9541e62..00000000
--- a/tests/.idea/workspace.xml
+++ /dev/null
@@ -1,698 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<project version="4">
-  <component name="ChangeListManager">
-    <list default="true" id="db6c12ef-5bf7-4b6c-a890-95bbddf0386a" name="Default" comment="" />
-    <ignored path="tests.iws" />
-    <ignored path=".idea/workspace.xml" />
-    <option name="EXCLUDED_CONVERTED_TO_IGNORED" value="true" />
-    <option name="TRACKING_ENABLED" value="true" />
-    <option name="SHOW_DIALOG" value="false" />
-    <option name="HIGHLIGHT_CONFLICTS" value="true" />
-    <option name="HIGHLIGHT_NON_ACTIVE_CHANGELIST" value="false" />
-    <option name="LAST_RESOLUTION" value="IGNORE" />
-  </component>
-  <component name="CreatePatchCommitExecutor">
-    <option name="PATCH_PATH" value="" />
-  </component>
-  <component name="ExecutionTargetManager" SELECTED_TARGET="default_target" />
-  <component name="FavoritesManager">
-    <favorites_list name="tests" />
-  </component>
-  <component name="FileEditorManager">
-    <leaf SIDE_TABS_SIZE_LIMIT_KEY="300">
-      <file leaf-file-name="test_jieba.py" pinned="false" current-in-tab="true">
-        <entry file="file://$PROJECT_DIR$/test_jieba.py">
-          <provider selected="true" editor-type-id="text-editor">
-            <state relative-caret-position="180">
-              <caret line="12" column="31" selection-start-line="12" selection-start-column="31" selection-end-line="12" selection-end-column="31" />
-              <folding>
-                <element signature="e#17#32#0" expanded="true" />
-              </folding>
-            </state>
-          </provider>
-        </entry>
-      </file>
-      <file leaf-file-name="test_pandas.py" pinned="false" current-in-tab="false">
-        <entry file="file://$PROJECT_DIR$/test_pandas.py">
-          <provider selected="true" editor-type-id="text-editor">
-            <state relative-caret-position="0">
-              <caret line="0" column="0" selection-start-line="0" selection-start-column="0" selection-end-line="0" selection-end-column="0" />
-              <folding>
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-              </folding>
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-        </entry>
-      </file>
-      <file leaf-file-name="test_bokeh.py" pinned="false" current-in-tab="false">
-        <entry file="file://$PROJECT_DIR$/test_bokeh.py">
-          <provider selected="true" editor-type-id="text-editor">
-            <state relative-caret-position="0">
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-                <element signature="e#0#15#0" expanded="true" />
-              </folding>
-            </state>
-          </provider>
-        </entry>
-      </file>
-      <file leaf-file-name="test_essentia.py" pinned="false" current-in-tab="false">
-        <entry file="file://$PROJECT_DIR$/test_essentia.py">
-          <provider selected="true" editor-type-id="text-editor">
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-              <folding>
-                <element signature="e#0#15#0" expanded="true" />
-              </folding>
-            </state>
-          </provider>
-        </entry>
-      </file>
-      <file leaf-file-name="test_fasttext.py" pinned="false" current-in-tab="false">
-        <entry file="file://$PROJECT_DIR$/test_fasttext.py">
-          <provider selected="true" editor-type-id="text-editor">
-            <state relative-caret-position="0">
-              <caret line="0" column="0" selection-start-line="0" selection-start-column="0" selection-end-line="0" selection-end-column="0" />
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-                <element signature="e#0#15#0" expanded="true" />
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-          </provider>
-        </entry>
-      </file>
-      <file leaf-file-name="test_fastai.py" pinned="false" current-in-tab="false">
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-          <provider selected="true" editor-type-id="text-editor">
-            <state relative-caret-position="0">
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-    <option name="width" value="932" />
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-        <expanded-state>
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-          </State>
-          <State>
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-    <OptionsSetting value="true" id="Add" />
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-    <OptionsSetting value="true" id="Status" />
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From 45d9be2b9d70fb2101c6dd90184ac128fcc41770 Mon Sep 17 00:00:00 2001
From: Gyczerinvis <2997347185@qq.com>
Date: Tue, 2 Oct 2018 12:21:56 +0800
Subject: [PATCH 0406/1660] Delete modules.xml

---
 tests/.idea/modules.xml | 8 --------
 1 file changed, 8 deletions(-)
 delete mode 100644 tests/.idea/modules.xml

diff --git a/tests/.idea/modules.xml b/tests/.idea/modules.xml
deleted file mode 100644
index dac5cbb1..00000000
--- a/tests/.idea/modules.xml
+++ /dev/null
@@ -1,8 +0,0 @@
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\ No newline at end of file

From b54644ad067fc1d964477f46afa4a2f51a36138d Mon Sep 17 00:00:00 2001
From: Gyczerinvis <2997347185@qq.com>
Date: Tue, 2 Oct 2018 12:22:04 +0800
Subject: [PATCH 0407/1660] Delete tests.iml

---
 tests/.idea/tests.iml | 11 -----------
 1 file changed, 11 deletions(-)
 delete mode 100644 tests/.idea/tests.iml

diff --git a/tests/.idea/tests.iml b/tests/.idea/tests.iml
deleted file mode 100644
index 08bd4824..00000000
--- a/tests/.idea/tests.iml
+++ /dev/null
@@ -1,11 +0,0 @@
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\ No newline at end of file

From 94872226ebff5dad9285b4b507615267a54291e0 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 2 Oct 2018 18:00:25 +0000
Subject: [PATCH 0408/1660] Install hep_ml, xgboost and lasagne using pip

---
 Dockerfile            | 17 +++--------------
 tests/test_hep_ml.py  | 13 +++++++++++++
 tests/test_lasagne.py | 15 +++++++++++++++
 3 files changed, 31 insertions(+), 14 deletions(-)
 create mode 100644 tests/test_hep_ml.py
 create mode 100644 tests/test_lasagne.py

diff --git a/Dockerfile b/Dockerfile
index 4a1a74f5..f29ad383 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -53,24 +53,15 @@ RUN pip install /tmp/tensorflow_cpu/tensorflow*.whl && \
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
     pip install gensim && \
-    # textblob
     pip install textblob && \
-    #word cloud
     pip install wordcloud && \
-    #igraph
     conda install -y -c conda-forge python-igraph && \
-    #xgboost
-    cd /usr/local/src && mkdir xgboost && cd xgboost && \
-    git clone --depth 1 --recursive https://github.com/dmlc/xgboost.git && cd xgboost && \
-    make && cd python-package && python setup.py install && \
+    pip install xgboost && \
     # Pinning to an older version. The latest release (2.2.0) depends on an old GLIBC version.
     # This cause the package to fail at import time with "version `GLIBC_2.23' not found"
     # TODO: Unpin once the latest release is fixed.
     pip install lightgbm==2.1.2 && \
-    #lasagne
-    cd /usr/local/src && mkdir Lasagne && cd Lasagne && \
-    git clone --depth 1 https://github.com/Lasagne/Lasagne.git && cd Lasagne && \
-    pip install -r requirements.txt && python setup.py install && \
+    pip install git+git://github.com/Lasagne/Lasagne.git && \
     #keras
     cd /usr/local/src && mkdir keras && cd keras && \
     git clone --depth 1 https://github.com/fchollet/keras.git && \
@@ -100,8 +91,7 @@ RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libatlas-base-dev && \
     cd /usr/local/src && git clone --depth 1 https://github.com/ztane/python-Levenshtein && \
     cd python-Levenshtein && python setup.py install && \
-    cd /usr/local/src && git clone --depth 1 https://github.com/arogozhnikov/hep_ml.git && \
-    cd hep_ml && pip install .  && \
+    pip install hep_ml && \
     # chainer
     pip install chainer && \
     # NLTK Project datasets
@@ -132,7 +122,6 @@ RUN apt-get install -y libfreetype6-dev && \
 # Make sure the dynamic linker finds the right libstdc++
 ENV LD_LIBRARY_PATH=/opt/conda/lib
 
-# Install Basemap via conda temporarily
 RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
     pip install matplotlib && \
     pip install pyshp && \
diff --git a/tests/test_hep_ml.py b/tests/test_hep_ml.py
new file mode 100644
index 00000000..37afc476
--- /dev/null
+++ b/tests/test_hep_ml.py
@@ -0,0 +1,13 @@
+import unittest
+
+import numpy as np
+
+from hep_ml.preprocessing import BinTransformer
+
+class TestHepML(unittest.TestCase):
+    def test_preprocessing(self):
+        X = np.array([[1.1, 1.2, 1.3],[5.1, 6.4, 10.5]])
+        transformer = BinTransformer().fit(X)
+        new_X = transformer.transform(X)
+
+        self.assertEqual((2, 3), new_X.shape)
diff --git a/tests/test_lasagne.py b/tests/test_lasagne.py
new file mode 100644
index 00000000..08e9dbf8
--- /dev/null
+++ b/tests/test_lasagne.py
@@ -0,0 +1,15 @@
+import unittest
+
+import lasagne
+import theano.tensor as T
+
+class TestLasagne(unittest.TestCase):
+    def test_network_definition(self):
+        input_var = T.tensor4('X')
+
+        network = lasagne.layers.InputLayer((None, 3, 32, 32), input_var)
+        network = lasagne.layers.Conv2DLayer(network, 64, (3, 3))
+
+        params = lasagne.layers.get_all_params(network, trainable=True)
+
+        self.assertEqual(2, len(params))

From 566014a1b0e143f11591a47447945bc8195edcc0 Mon Sep 17 00:00:00 2001
From: Nikita Titov <nekit94-08@mail.ru>
Date: Tue, 9 Oct 2018 02:45:09 +0300
Subject: [PATCH 0409/1660] update LightGBM

---
 Dockerfile | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index f29ad383..30f04615 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -57,10 +57,7 @@ RUN apt-get install -y libfreetype6-dev && \
     pip install wordcloud && \
     conda install -y -c conda-forge python-igraph && \
     pip install xgboost && \
-    # Pinning to an older version. The latest release (2.2.0) depends on an old GLIBC version.
-    # This cause the package to fail at import time with "version `GLIBC_2.23' not found"
-    # TODO: Unpin once the latest release is fixed.
-    pip install lightgbm==2.1.2 && \
+    pip install lightgbm && \
     pip install git+git://github.com/Lasagne/Lasagne.git && \
     #keras
     cd /usr/local/src && mkdir keras && cd keras && \

From 687df0e926ff70cbe2058c9dd7c7c54c58c5a205 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 9 Oct 2018 09:15:03 -0700
Subject: [PATCH 0410/1660] Let prompt-toolkit used older version

jupyter-console installs an older version of that package.
---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 30f04615..9c7391a2 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -419,7 +419,6 @@ RUN pip install bcolz && \
     pip install pexpect && \
     pip install pickleshare && \
     pip install Pillow && \
-    pip install prompt-toolkit && \
     pip install ptyprocess && \
     pip install Pygments && \
     pip install pyparsing && \

From d9aacd14c702a378ad13d26ce4490349f0b4905c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 10 Oct 2018 00:04:18 +0000
Subject: [PATCH 0411/1660] Fix compatibility issue with matplotlib and basemap

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 9c7391a2..d996cfa0 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -125,7 +125,7 @@ RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
     pip install pyproj && \
     cd /usr/local/src && git clone https://github.com/matplotlib/basemap.git && \
     cd basemap && \
-    git checkout v1.1.0 && \
+    git checkout v1.2.0rel && \
     # Install geos
     cd geos-3.3.3 && \
     export GEOS_DIR=/usr/local && \

From d0a8bc4b7b6ecc769149f05c3f9e5b62d6a98cb2 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 9 Oct 2018 19:56:29 -0700
Subject: [PATCH 0412/1660] Pin matplotlib to prevent compatibility issue with
 basemap

Remove the duplicate pip install for matplotlib
---
 Dockerfile | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index d996cfa0..744c80c9 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -120,12 +120,12 @@ RUN apt-get install -y libfreetype6-dev && \
 ENV LD_LIBRARY_PATH=/opt/conda/lib
 
 RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
-    pip install matplotlib && \
+    pip install matplotlib==2.2.3 && \
     pip install pyshp && \
     pip install pyproj && \
     cd /usr/local/src && git clone https://github.com/matplotlib/basemap.git && \
     cd basemap && \
-    git checkout v1.2.0rel && \
+    git checkout v1.1.0 && \
     # Install geos
     cd geos-3.3.3 && \
     export GEOS_DIR=/usr/local && \
@@ -405,7 +405,6 @@ RUN pip install bcolz && \
     pip install jupyter-console && \
     pip install jupyter-core && \
     pip install MarkupSafe && \
-    pip install matplotlib && \
     pip install mistune && \
     pip install nbconvert && \
     pip install nbformat && \

From 655a5084791a571d6aa267fa3f4db3cee5f4247a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 9 Oct 2018 20:18:08 -0700
Subject: [PATCH 0413/1660] Removing unmaintained and unused opendeep package

The package was broken for quite a while and no user noticed/complained.

The last update on github for this package was 3 years ago and the package is still marked as an alpha and in active development, which is clearly not the case.
---
 Dockerfile | 7 ++-----
 1 file changed, 2 insertions(+), 5 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 744c80c9..f7e7c1bc 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -134,11 +134,8 @@ RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
     # Install basemap
     cd .. && python setup.py install && \
     pip install basemap --no-binary basemap
-
-RUN cd /usr/local/src && git clone https://github.com/vitruvianscience/opendeep.git && \
-    cd opendeep && python setup.py develop  && \
-    # sasl is apparently an ibis dependency
-    apt-get -y install libsasl2-dev && \
+# sasl is apparently an ibis dependency
+RUN apt-get -y install libsasl2-dev && \
     # ...as is psycopg2
     apt-get install -y libpq-dev && \
     pip install ibis-framework && \

From 68a3b18f87f8481657f3cd379cbf7a79d1664bd2 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 10 Oct 2018 03:26:27 +0000
Subject: [PATCH 0414/1660] Install shapely from pip and add tests

---
 Dockerfile            | 3 +--
 tests/test_shapely.py | 9 +++++++++
 2 files changed, 10 insertions(+), 2 deletions(-)
 create mode 100644 tests/test_shapely.py

diff --git a/Dockerfile b/Dockerfile
index f7e7c1bc..7af93feb 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -142,8 +142,7 @@ RUN apt-get -y install libsasl2-dev && \
     # Cartopy plus dependencies
     yes | conda install proj4 && \
     pip install packaging && \
-    cd /usr/local/src && git clone https://github.com/Toblerity/Shapely.git && \
-    cd Shapely && python setup.py install && \
+    pip install shapely && \
     cd /usr/local/src && git clone https://github.com/SciTools/cartopy.git && \
     cd cartopy && python setup.py install && \
     # MXNet
diff --git a/tests/test_shapely.py b/tests/test_shapely.py
new file mode 100644
index 00000000..14c4843c
--- /dev/null
+++ b/tests/test_shapely.py
@@ -0,0 +1,9 @@
+import unittest
+
+from shapely.geometry import Point
+
+class TestShapely(unittest.TestCase):
+    def test_geometry(self):
+        p = Point(0.0, 0.0)
+
+        self.assertEqual("Point", p.geom_type)

From d7138c2024c4b45d0261f7d2a24a765288102883 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 10 Oct 2018 16:57:21 +0000
Subject: [PATCH 0415/1660] Install cartopy from pip and add tests

---
 Dockerfile            | 4 ++--
 tests/test_cartopy.py | 8 ++++++++
 2 files changed, 10 insertions(+), 2 deletions(-)
 create mode 100644 tests/test_cartopy.py

diff --git a/Dockerfile b/Dockerfile
index 7af93feb..147571e1 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -134,6 +134,7 @@ RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
     # Install basemap
     cd .. && python setup.py install && \
     pip install basemap --no-binary basemap
+
 # sasl is apparently an ibis dependency
 RUN apt-get -y install libsasl2-dev && \
     # ...as is psycopg2
@@ -143,8 +144,7 @@ RUN apt-get -y install libsasl2-dev && \
     yes | conda install proj4 && \
     pip install packaging && \
     pip install shapely && \
-    cd /usr/local/src && git clone https://github.com/SciTools/cartopy.git && \
-    cd cartopy && python setup.py install && \
+    pip install cartopy && \
     # MXNet
     pip install mxnet && \
     # h2o
diff --git a/tests/test_cartopy.py b/tests/test_cartopy.py
new file mode 100644
index 00000000..e372b280
--- /dev/null
+++ b/tests/test_cartopy.py
@@ -0,0 +1,8 @@
+import unittest
+
+import cartopy.crs as ccrs
+
+class TestCartopy(unittest.TestCase):
+    def test_projection(self):
+        ccrs.PlateCarree()
+        ccrs.Mollweide()

From 599680f3a710b9b1eb9a284b1d36621a7ccdc284 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 10 Oct 2018 17:43:48 +0000
Subject: [PATCH 0416/1660] install scikit-learn from pip

---
 Dockerfile | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 147571e1..bc1ba901 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -172,12 +172,9 @@ RUN apt-get -y install libsasl2-dev && \
 
     # scikit-learn dependencies
 RUN pip install scipy && \
-    # Scikit-Learn pinned to 0.19.X until 0.20.0 (many packages break with scikitlearn 0.20.0dev)
-    cd /usr/local/src && git clone https://github.com/scikit-learn/scikit-learn.git && \
-    cd scikit-learn && python setup.py build && python setup.py install && \
+    pip install scikit-learn && \
     # HDF5 support
     conda install h5py && \
-    # https://github.com/biopython/biopython
     pip install biopython && \
     # PUDB, for local debugging convenience
     pip install pudb && \

From 7d554a4f832031e964cdeb47b64cc8ed3632e9e7 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 11 Oct 2018 01:28:14 +0000
Subject: [PATCH 0417/1660] install datashader from pip and add tests

---
 Dockerfile               |  2 +-
 tests/test_datashader.py | 38 ++++++++++++++++++++++++++++++++++++++
 2 files changed, 39 insertions(+), 1 deletion(-)
 create mode 100644 tests/test_datashader.py

diff --git a/Dockerfile b/Dockerfile
index bc1ba901..1fa64546 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -190,7 +190,7 @@ RUN pip install scipy && \
     pip install orderedmultidict && \
     pip install smhasher && \
     conda install -y -c bokeh bokeh && \
-    conda install -y -c bokeh datashader && \
+    pip install datashader && \
     # Boruta (python implementation)
     cd /usr/local/src && git clone https://github.com/danielhomola/boruta_py.git && \
     cd boruta_py && python setup.py install && \
diff --git a/tests/test_datashader.py b/tests/test_datashader.py
new file mode 100644
index 00000000..c8ff9295
--- /dev/null
+++ b/tests/test_datashader.py
@@ -0,0 +1,38 @@
+import unittest
+
+import numpy as np
+import pandas as pd
+import datashader as ds
+import datashader.transfer_functions as tf
+
+class TestDatashader(unittest.TestCase):
+    # based on https://github.com/pyviz/datashader/blob/master/datashader/tests/test_pipeline.py
+    def test_pipeline(self):
+        df = pd.DataFrame({
+            'x': np.array(([0.] * 10 + [1] * 10)),
+            'y': np.array(([0.] * 5 + [1] * 5 + [0] * 5 + [1] * 5)),
+            'f64': np.arange(20, dtype='f8')
+        })
+        df.f64.iloc[2] = np.nan
+
+        cvs = ds.Canvas(plot_width=2, plot_height=2, x_range=(0, 1), y_range=(0, 1))
+
+        pipeline = ds.Pipeline(df, ds.Point('x', 'y'))
+        img = pipeline((0, 1), (0, 1), 2, 2)
+        agg = cvs.points(df, 'x', 'y', ds.count())
+        self.assertTrue(img.equals(tf.shade(agg)))
+
+        color_fn = lambda agg: tf.shade(agg, 'pink', 'red')
+        pipeline.color_fn = color_fn
+        img = pipeline((0, 1), (0, 1), 2, 2)
+        self.assertTrue(img.equals(color_fn(agg)))
+
+        transform_fn = lambda agg: agg + 1
+        pipeline.transform_fn = transform_fn
+        img = pipeline((0, 1), (0, 1), 2, 2)
+        self.assertTrue(img.equals(color_fn(transform_fn(agg))))
+
+        pipeline = ds.Pipeline(df, ds.Point('x', 'y'), ds.sum('f64'))
+        img = pipeline((0, 1), (0, 1), 2, 2)
+        agg = cvs.points(df, 'x', 'y', ds.sum('f64'))
+        self.assertTrue(img.equals(tf.shade(agg)))

From 50ef11973c55eea558e1eba9b67d792a63d18c30 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 11 Oct 2018 01:22:53 +0000
Subject: [PATCH 0418/1660] only install packages after downgrading to python
 3.6

---
 Dockerfile | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 1fa64546..d1367e4c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -17,6 +17,14 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     pip install --upgrade pip && \
     apt-get -y install cmake
 
+# Tensorflow doesn't support python 3.7 yet. See https://github.com/tensorflow/tensorflow/issues/20517
+# Fix to install tf 1.10:: Downgrade python 3.7->3.6.6 and downgrade Pandas 0.23.3->0.23.2
+RUN conda install -y python=3.6.6 && \
+    pip install pandas==0.23.2 && \
+    # Another fix for TF 1.10 https://github.com/tensorflow/tensorflow/issues/21518
+    pip install keras_applications==1.0.4 --no-deps && \
+    pip install keras_preprocessing==1.0.2 --no-deps
+
 RUN pip install seaborn python-dateutil dask pytagcloud pyyaml joblib \
     husl geopy ml_metrics mne pyshp && \
     conda install -y -c conda-forge spacy && python -m spacy download en && \
@@ -37,14 +45,6 @@ RUN pip install seaborn python-dateutil dask pytagcloud pyyaml joblib \
     # clean up ImageMagick source files
     cd ../ && rm -rf ImageMagick*
 
-# Tensorflow doesn't support python 3.7 yet. See https://github.com/tensorflow/tensorflow/issues/20517
-# Fix to install tf 1.10:: Downgrade python 3.7->3.6.6 and downgrade Pandas 0.23.3->0.23.2
-RUN conda install -y python=3.6.6 && \
-    pip install pandas==0.23.2 && \
-    # Another fix for TF 1.10 https://github.com/tensorflow/tensorflow/issues/21518
-    pip install keras_applications==1.0.4 --no-deps && \
-    pip install keras_preprocessing==1.0.2 --no-deps
-
 # Install tensorflow from a pre-built wheel
 COPY --from=tensorflow_whl /tmp/tensorflow_cpu/*.whl /tmp/tensorflow_cpu/
 RUN pip install /tmp/tensorflow_cpu/tensorflow*.whl && \

From 428217dbd390acf2b0c61907be1126fea35737c2 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 11 Oct 2018 02:53:05 +0000
Subject: [PATCH 0419/1660] install fbprophet from pip and add tests

---
 Dockerfile              |  2 +-
 tests/test_fbprophet.py | 16 ++++++++++++++++
 2 files changed, 17 insertions(+), 1 deletion(-)
 create mode 100644 tests/test_fbprophet.py

diff --git a/Dockerfile b/Dockerfile
index d1367e4c..2d010414 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -291,7 +291,7 @@ RUN pip install fancyimpute && \
     pip install pyexcel-ods && \
     pip install sklearn-pandas && \
     pip install stemming && \
-    conda install -y -c conda-forge fbprophet && \
+    pip install fbprophet && \
     conda install -y -c conda-forge -c ioam holoviews geoviews && \
     #Temp fix: After installing holoviews and geoviews, deps for fiona and geopandas get really messed up. This is a very unelegant fix.
     conda uninstall -y fiona geopandas && \
diff --git a/tests/test_fbprophet.py b/tests/test_fbprophet.py
new file mode 100644
index 00000000..f8badbd6
--- /dev/null
+++ b/tests/test_fbprophet.py
@@ -0,0 +1,16 @@
+import unittest
+
+import numpy as np
+import pandas as pd
+
+from fbprophet import Prophet
+
+class TestFbProphet(unittest.TestCase):
+    def test_fit(self):
+        train = pd.DataFrame({
+            'ds': np.array(['2012-05-18', '2012-05-20']),
+            'y': np.array([38.23, 21.25])
+        })
+
+        forecaster = Prophet()
+        forecaster.fit(train)

From 03e180b04f2bba446f1550067491f0328c338b2e Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 11 Oct 2018 04:56:36 +0000
Subject: [PATCH 0420/1660] add tests for fiona

---
 tests/data/coutwildrnp.shp | Bin 0 -> 109548 bytes
 tests/data/coutwildrnp.shx | Bin 0 -> 636 bytes
 tests/test_fiona.py        |  10 ++++++++++
 3 files changed, 10 insertions(+)
 create mode 100644 tests/data/coutwildrnp.shp
 create mode 100644 tests/data/coutwildrnp.shx
 create mode 100644 tests/test_fiona.py

diff --git a/tests/data/coutwildrnp.shp b/tests/data/coutwildrnp.shp
new file mode 100644
index 0000000000000000000000000000000000000000..f1f62b5d80e9ff767be06eeca2c001b3fe7d293f
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diff --git a/tests/data/coutwildrnp.shx b/tests/data/coutwildrnp.shx
new file mode 100644
index 0000000000000000000000000000000000000000..7eae7002fa8fbb935b0f012c4aec5b9a918ce079
GIT binary patch
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diff --git a/tests/test_fiona.py b/tests/test_fiona.py
new file mode 100644
index 00000000..51934a72
--- /dev/null
+++ b/tests/test_fiona.py
@@ -0,0 +1,10 @@
+import unittest
+
+import fiona
+import pandas as pd
+
+class TestFiona(unittest.TestCase):
+    def test_read(self):
+        with fiona.open("/input/tests/data/coutwildrnp.shp") as source:
+            self.assertEqual(67, len(source))
+

From 9b813778b74d6b55d6565a6d6be47a9d044115b9 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 11 Oct 2018 04:56:51 +0000
Subject: [PATCH 0421/1660] add tests for geopandas

---
 tests/test_geopandas.py | 8 ++++++++
 1 file changed, 8 insertions(+)
 create mode 100644 tests/test_geopandas.py

diff --git a/tests/test_geopandas.py b/tests/test_geopandas.py
new file mode 100644
index 00000000..10603fa0
--- /dev/null
+++ b/tests/test_geopandas.py
@@ -0,0 +1,8 @@
+import unittest
+
+import geopandas
+
+class TestGeopandas(unittest.TestCase):
+    def test_read(self):
+        df = geopandas.read_file(geopandas.datasets.get_path('nybb'))
+        self.assertTrue(df.size > 1)

From 1c5c6542b39ff3636c28645313c79497229bfff4 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 11 Oct 2018 04:57:07 +0000
Subject: [PATCH 0422/1660] add tests for geoviews

---
 tests/test_geoviews.py | 11 +++++++++++
 1 file changed, 11 insertions(+)
 create mode 100644 tests/test_geoviews.py

diff --git a/tests/test_geoviews.py b/tests/test_geoviews.py
new file mode 100644
index 00000000..36ce8882
--- /dev/null
+++ b/tests/test_geoviews.py
@@ -0,0 +1,11 @@
+import unittest
+
+import geoviews.feature as gf
+
+from cartopy import crs
+
+class TestGeoviews(unittest.TestCase):
+    def test_viz(self):
+        (gf.ocean + gf.land + gf.ocean * gf.land * gf.coastline * gf.borders).options(
+            'Feature', projection=crs.Geostationary(), global_extent=True, height=325
+        ).cols(3)

From 7ec3690bb337e46fd48e8c32fcbd7d2a01f6d682 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 11 Oct 2018 04:57:35 +0000
Subject: [PATCH 0423/1660] add tests for holoviews

---
 tests/test_holoviews.py | 10 ++++++++++
 1 file changed, 10 insertions(+)
 create mode 100644 tests/test_holoviews.py

diff --git a/tests/test_holoviews.py b/tests/test_holoviews.py
new file mode 100644
index 00000000..88671590
--- /dev/null
+++ b/tests/test_holoviews.py
@@ -0,0 +1,10 @@
+import unittest
+
+import holoviews as hv
+
+class TestHoloviews(unittest.TestCase):
+    def test_curve(self):
+        xs = range(-10,11)
+        ys = [100-x**2 for x in xs]
+
+        hv.Curve((xs, ys))

From 71a80e877eddcffac8b3402360be96d556ea2c37 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 11 Oct 2018 04:57:57 +0000
Subject: [PATCH 0424/1660] reduce log spamming for fbprophet tests

---
 tests/test_fbprophet.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/test_fbprophet.py b/tests/test_fbprophet.py
index f8badbd6..69caa984 100644
--- a/tests/test_fbprophet.py
+++ b/tests/test_fbprophet.py
@@ -12,5 +12,5 @@ def test_fit(self):
             'y': np.array([38.23, 21.25])
         })
 
-        forecaster = Prophet()
+        forecaster = Prophet(mcmc_samples=1)
         forecaster.fit(train)

From b8ef08e46b69bf7d9e375b865abbfefab71f63d2 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 11 Oct 2018 04:58:18 +0000
Subject: [PATCH 0425/1660] install holoviews and geoviews with pip

---
 Dockerfile | 8 ++------
 1 file changed, 2 insertions(+), 6 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 2d010414..7f4b40e7 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -274,7 +274,6 @@ RUN pip install fancyimpute && \
     pip install descartes && \
     pip install geojson && \
     pip install pysal && \
-    #conda install -y gdal && \
     pip install pyflux && \
     pip install terminalplot && \
     pip install raccoon && \
@@ -292,11 +291,8 @@ RUN pip install fancyimpute && \
     pip install sklearn-pandas && \
     pip install stemming && \
     pip install fbprophet && \
-    conda install -y -c conda-forge -c ioam holoviews geoviews && \
-    #Temp fix: After installing holoviews and geoviews, deps for fiona and geopandas get really messed up. This is a very unelegant fix.
-    conda uninstall -y fiona geopandas && \
-    pip uninstall -y fiona geopandas && \
-    apt-get install -y libgdal1-dev && GDAL_CONFIG=/usr/bin/gdal-config pip install fiona && pip install geopandas && \
+    pip install holoviews && \
+    pip install geoviews && \
     pip install hypertools && \
     # Nxviz has been causing an installation issue by trying unsuccessfully to remove setuptools.
     #pip install nxviz && \

From 77bc7cf171fe7deec1f10f2d8ecf9d87a2f18403 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 11 Oct 2018 19:55:32 +0000
Subject: [PATCH 0426/1660] install feather-format and add tests

---
 Dockerfile                       |   4 ++++
 tests/data/feather-0_3_1.feather | Bin 0 -> 672 bytes
 tests/test_pandas.py             |   7 ++++++-
 3 files changed, 10 insertions(+), 1 deletion(-)
 create mode 100644 tests/data/feather-0_3_1.feather

diff --git a/Dockerfile b/Dockerfile
index 7f4b40e7..b093a493 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -425,6 +425,10 @@ RUN pip install bcolz && \
     pip install wcwidth && \
     pip install webencodings && \
     pip install widgetsnbextension && \
+    # Latest version of pyarrow conflicts with pandas
+    # https://github.com/pandas-dev/pandas/issues/23053
+    pip install pyarrow==0.10.0 && \
+    pip install feather-format && \
     cd /usr/local/src && git clone --depth=1 https://github.com/fastai/fastai && \
     cd fastai && python setup.py install && \
     # clean up pip cache
diff --git a/tests/data/feather-0_3_1.feather b/tests/data/feather-0_3_1.feather
new file mode 100644
index 0000000000000000000000000000000000000000..5a2c7b3dcc684b3676a94287702ea01aefa057af
GIT binary patch
literal 672
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zAbkIOF+@;D_Otzd|8|^AF3ye(Nn|8HPIP-QYtvcl*z0)x_%bv*zkYri?8fZpX?t6H
zxz_<i3e%ZeYFUWPN={)MH^5(0T%vFIS7?gPznVt1hi%Leq>sISSiy5(TliUEtb!#>
zF9YhAU;SJ@TFyNZ>fxdp=8NTY#aTB^!?9gsBtEC}yvO@q#oZA)Lc3hT-$In}#Q8{=
z_3vU`Iu7A~UhS%)Ca0=oYemE*>a##cXt$5{aKpsvqrCR3eU%_L>}5wh5`Q0$OWWUs
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literal 0
HcmV?d00001

diff --git a/tests/test_pandas.py b/tests/test_pandas.py
index f9163c57..abf70398 100644
--- a/tests/test_pandas.py
+++ b/tests/test_pandas.py
@@ -6,4 +6,9 @@ class TestPandas(unittest.TestCase):
     def test_read_csv(self):
         data = pd.read_csv("/input/tests/data/train.csv")
 
-        self.assertEqual(2, len(data.shape))
+        self.assertEqual(14915, data.size)
+
+    def test_read_feather(self):
+        data = pd.read_feather("/input/tests/data/feather-0_3_1.feather")
+
+        self.assertEqual(10, data.size)

From 7b7dfd6ee8e58e8371953e9c43dc7ccd1aa8d5fd Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Sat, 13 Oct 2018 01:02:20 +0000
Subject: [PATCH 0427/1660] Expand fastai tests

---
 tests/test_fastai.py | 30 ++++++++++++++++++++++++++++++
 tests/test_pandas.py |  2 +-
 2 files changed, 31 insertions(+), 1 deletion(-)

diff --git a/tests/test_fastai.py b/tests/test_fastai.py
index 275d2776..7d28b347 100644
--- a/tests/test_fastai.py
+++ b/tests/test_fastai.py
@@ -1,9 +1,39 @@
 import unittest
 
+import fastai
+import pandas as pd
+import torch
+
+from fastai.docs import *
+from fastai.tabular import *
 from fastai.core import partition
+from fastai.torch_core import tensor
 
 class TestFastAI(unittest.TestCase):
     def test_partition(self):
         result = partition([1,2,3,4,5], 2)
 
         self.assertEqual(3, len(result))
+
+    def test_has_version(self):
+        self.assertGreater(len(fastai.__version__), 1)
+    
+    # based on https://github.com/fastai/fastai/blob/master/tests/test_torch_core.py#L17
+    def test_torch_tensor(self):
+        a = tensor([1, 2, 3])
+        b = torch.tensor([1, 2, 3])
+
+        self.assertTrue(torch.all(a == b))
+
+    def test_tabular(self):
+        df = pd.read_csv("/input/tests/data/train.csv")
+
+        train_df, valid_df = df[:-5].copy(),df[-5:].copy()
+        dep_var = "label"
+        cont_names = []
+        for i in range(784):
+            cont_names.append("pixel" + str(i))
+
+        data = tabular_data_from_df("", train_df, valid_df, dep_var, cont_names=cont_names, cat_names=[])
+        learn = get_tabular_learner(data, layers=[200, 100])
+        learn.fit(epochs=1)
diff --git a/tests/test_pandas.py b/tests/test_pandas.py
index abf70398..f533a043 100644
--- a/tests/test_pandas.py
+++ b/tests/test_pandas.py
@@ -6,7 +6,7 @@ class TestPandas(unittest.TestCase):
     def test_read_csv(self):
         data = pd.read_csv("/input/tests/data/train.csv")
 
-        self.assertEqual(14915, data.size)
+        self.assertEqual(19, len(data.index))
 
     def test_read_feather(self):
         data = pd.read_feather("/input/tests/data/feather-0_3_1.feather")

From d74125053ba6218aed13cf1cbcb8b9efc61e42b6 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Sat, 13 Oct 2018 19:17:51 +0000
Subject: [PATCH 0428/1660] Pin fastai to 0.7.0

---
 Dockerfile | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index b093a493..a485c1d9 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -429,8 +429,7 @@ RUN pip install bcolz && \
     # https://github.com/pandas-dev/pandas/issues/23053
     pip install pyarrow==0.10.0 && \
     pip install feather-format && \
-    cd /usr/local/src && git clone --depth=1 https://github.com/fastai/fastai && \
-    cd fastai && python setup.py install && \
+    pip install fastai=0.7.0 && \
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \
     cd && rm -rf /usr/local/src/*

From c83eaeeabf742e520569c1faa94fb5f84129d26d Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <roseberryv@gmail.com>
Date: Sun, 14 Oct 2018 12:00:05 -0700
Subject: [PATCH 0429/1660] fix pip command typo

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index a485c1d9..641cc92d 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -429,7 +429,7 @@ RUN pip install bcolz && \
     # https://github.com/pandas-dev/pandas/issues/23053
     pip install pyarrow==0.10.0 && \
     pip install feather-format && \
-    pip install fastai=0.7.0 && \
+    pip install fastai==0.7.0 && \
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \
     cd && rm -rf /usr/local/src/*

From ecd64a15e9866229dfba2b222dc05b41351c7683 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 15 Oct 2018 03:49:46 +0000
Subject: [PATCH 0430/1660] simplify fastai tests imports

---
 tests/test_fastai.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/tests/test_fastai.py b/tests/test_fastai.py
index 7d28b347..31236e98 100644
--- a/tests/test_fastai.py
+++ b/tests/test_fastai.py
@@ -4,8 +4,7 @@
 import pandas as pd
 import torch
 
-from fastai.docs import *
-from fastai.tabular import *
+from fastai.tabular import tabular_data_from_df, get_tabular_learner
 from fastai.core import partition
 from fastai.torch_core import tensor
 

From 79e96f06edab69109b40d1a400d5efc2a6058698 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 15 Oct 2018 17:14:06 +0000
Subject: [PATCH 0431/1660] Install fastai from source and pinned version

---
 Dockerfile | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 641cc92d..f7b0e8ef 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -429,7 +429,9 @@ RUN pip install bcolz && \
     # https://github.com/pandas-dev/pandas/issues/23053
     pip install pyarrow==0.10.0 && \
     pip install feather-format && \
-    pip install fastai==0.7.0 && \
+    # This version is not available in pypi
+    # Also, installing from source to prevent static TLS (thread local storage) issue
+    pip install git+git://github.com/fastai/fastai.git@v0.7.2 && \
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \
     cd && rm -rf /usr/local/src/*

From bcda2d4f154a1498b0c53e3257e6e35c7cc969b1 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 15 Oct 2018 18:48:47 +0000
Subject: [PATCH 0432/1660] Prevent fastai install from downgrading pytorch

---
 Dockerfile | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index f7b0e8ef..c549ced6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -429,9 +429,9 @@ RUN pip install bcolz && \
     # https://github.com/pandas-dev/pandas/issues/23053
     pip install pyarrow==0.10.0 && \
     pip install feather-format && \
-    # This version is not available in pypi
-    # Also, installing from source to prevent static TLS (thread local storage) issue
-    pip install git+git://github.com/fastai/fastai.git@v0.7.2 && \
+    # Don't install dependencies for fastai because it requires pytorch<0.4.
+    # which downgrades pytorch. fastai does work with pytorch 0.4.
+    pip install fastai==0.7.0 --no-deps && \
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \
     cd && rm -rf /usr/local/src/*

From 8a430bb21e2e4928ec16ef370f7e4b4019b24ff4 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 15 Oct 2018 20:39:32 +0000
Subject: [PATCH 0433/1660] Remove fastai tests using 1.x api

---
 Dockerfile           |  1 +
 tests/test_fastai.py | 45 ++++++++++++++++++++++++--------------------
 2 files changed, 26 insertions(+), 20 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index c549ced6..500441ab 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -432,6 +432,7 @@ RUN pip install bcolz && \
     # Don't install dependencies for fastai because it requires pytorch<0.4.
     # which downgrades pytorch. fastai does work with pytorch 0.4.
     pip install fastai==0.7.0 --no-deps && \
+    pip install torchtext && \
     # clean up pip cache
     rm -rf /root/.cache/pip/* && \
     cd && rm -rf /usr/local/src/*
diff --git a/tests/test_fastai.py b/tests/test_fastai.py
index 31236e98..94223fe3 100644
--- a/tests/test_fastai.py
+++ b/tests/test_fastai.py
@@ -4,9 +4,8 @@
 import pandas as pd
 import torch
 
-from fastai.tabular import tabular_data_from_df, get_tabular_learner
 from fastai.core import partition
-from fastai.torch_core import tensor
+from fastai.layer_optimizer import LayerOptimizer
 
 class TestFastAI(unittest.TestCase):
     def test_partition(self):
@@ -14,25 +13,31 @@ def test_partition(self):
 
         self.assertEqual(3, len(result))
 
-    def test_has_version(self):
-        self.assertGreater(len(fastai.__version__), 1)
-    
-    # based on https://github.com/fastai/fastai/blob/master/tests/test_torch_core.py#L17
-    def test_torch_tensor(self):
-        a = tensor([1, 2, 3])
-        b = torch.tensor([1, 2, 3])
+    # based on https://github.com/fastai/fastai/blob/0.7.0/tests/test_layer_optimizer.py
+    def test_layer_optimizer(self):
+        lo = LayerOptimizer(FakeOpt, fastai_params_('A', 'B', 'C'), 1e-2, 1e-4)
+        fast_check_optimizer_(lo.opt, [(nm, 1e-2, 1e-4) for nm in 'ABC'])
 
-        self.assertTrue(torch.all(a == b))
 
-    def test_tabular(self):
-        df = pd.read_csv("/input/tests/data/train.csv")
+class Par(object):
+    def __init__(self, x, grad=True):
+        self.x = x
+        self.requires_grad = grad
+    def parameters(self): return [self]
 
-        train_df, valid_df = df[:-5].copy(),df[-5:].copy()
-        dep_var = "label"
-        cont_names = []
-        for i in range(784):
-            cont_names.append("pixel" + str(i))
 
-        data = tabular_data_from_df("", train_df, valid_df, dep_var, cont_names=cont_names, cat_names=[])
-        learn = get_tabular_learner(data, layers=[200, 100])
-        learn.fit(epochs=1)
+class FakeOpt(object):
+    def __init__(self, params): self.param_groups = params
+
+
+def fastai_params_(*names): return [Par(nm) for nm in names]
+
+def fast_check_optimizer_(opt, expected):
+    actual = opt.param_groups
+    assert len(actual) == len(expected)
+    for (a, e) in zip(actual, expected): fastai_check_param_(a, *e)
+
+def fastai_check_param_(par, nm, lr, wd):
+    assert par['params'][0].x == nm
+    assert par['lr'] == lr
+    assert par['weight_decay'] == wd

From 2aa9b9c1b85630b64cb787e51d1bca7b52188628 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 15 Oct 2018 15:25:23 -0700
Subject: [PATCH 0434/1660] Prune images previously built to prevent permanent
 gpu worker from filing up disk

---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 702898fb..c8ab54da 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -65,7 +65,7 @@ pipeline {
         slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} docker build>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
         sh '''#!/bin/bash
           set -exo pipefail
-          docker image prune -a # remove previously built image to prevent disk from filling up
+          docker image prune -a -f # remove previously built image to prevent disk from filling up
           ./build --gpu | ts
         '''
       }

From 6eb31c1581767691aa766dc3633d118ee3e9e9b2 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 15 Oct 2018 15:58:09 -0700
Subject: [PATCH 0435/1660] Update README to mention that GCR is the source of
 truth for our docker images.

---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 90faac2e..655c3977 100644
--- a/README.md
+++ b/README.md
@@ -2,7 +2,7 @@
 
 ![example script](http://i.imgur.com/yrWycNA.png)
 
-This is the Dockerfile (etc.) used for building the image that runs python scripts on Kaggle. [Here's](https://registry.hub.docker.com/u/kaggle/python/) the Docker image on Dockerhub.
+This is the Dockerfile (etc.) used for building the image that runs python scripts on Kaggle. [Here's](https://https://gcr.io/kaggle-images/python) the Docker image on Google Container Registry.
 
 ## Getting started
 
@@ -17,7 +17,7 @@ We can merge your request quickly if you check that it builds correctly. Here's
 Start by running this image on your system:
 
 ```
-me@my-computer:/home$ docker run --rm -it kaggle/python
+me@my-computer:/home$ docker run --rm -it gcr.io/kaggle-images/python
 root@d72b81a003e1:/# 
 ```
 

From 549f89ac7f3a15070de428199b5619eb53eac485 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 19 Oct 2018 17:20:35 -0400
Subject: [PATCH 0436/1660] Prevent upgrade of matplotlib

plotnine 0.5 is depending on matplotlib >= 3.0 which is not compatible with basemap.
---
 Dockerfile | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 500441ab..07ed960a 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -311,7 +311,9 @@ RUN pip install fancyimpute && \
     pip install folium && \
     pip install scikit-plot && \
     pip install dipy && \
-    pip install plotnine && \
+    # plotnine 0.5 is depending on matplotlib >= 3.0 which is not compatible with basemap.
+    # once basemap support matplotlib, we can unpin this package.
+    pip install plotnine==0.4.0 && \
     pip install git+https://github.com/dvaida/hallucinate.git && \
     pip install scikit-surprise && \
     pip install pymongo && \

From 8048a37411e7bd7e032a132358c1bca7552e2f2f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 19 Oct 2018 19:33:41 +0000
Subject: [PATCH 0437/1660] Upgrade anaconda base to 5.2.0

---
 Dockerfile | 18 ++++++------------
 1 file changed, 6 insertions(+), 12 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 07ed960a..2351c92d 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,5 +1,5 @@
 FROM gcr.io/kaggle-images/python-tensorflow-whl:1.11.0-py36 as tensorflow_whl
-FROM continuumio/anaconda3:5.0.1
+FROM continuumio/anaconda3:5.2.0
 
 # This is necessary for apt to access HTTPS sources
 RUN apt-get update && \
@@ -30,13 +30,13 @@ RUN pip install seaborn python-dateutil dask pytagcloud pyyaml joblib \
     conda install -y -c conda-forge spacy && python -m spacy download en && \
     python -m spacy download en_core_web_lg && \
     # The apt-get version of imagemagick is out of date and has compatibility issues, so we build from source
-    apt-get -y install dbus fontconfig fontconfig-config fonts-dejavu-core fonts-droid ghostscript gsfonts hicolor-icon-theme \
+    apt-get -y install dbus fontconfig fontconfig-config fonts-dejavu-core fonts-droid-fallback ghostscript gsfonts hicolor-icon-theme \
     libavahi-client3 libavahi-common-data libavahi-common3 libcairo2 libcap-ng0 libcroco3 \
     libcups2 libcupsfilters1 libcupsimage2 libdatrie1 libdbus-1-3 libdjvulibre-text libdjvulibre21 libfftw3-double3 libfontconfig1 \
     libfreetype6 libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-common libgomp1 libgraphite2-3 libgs9 libgs9-common libharfbuzz0b libijs-0.35 \
-    libilmbase6 libjasper1 libjbig0 libjbig2dec0 libjpeg62-turbo liblcms2-2 liblqr-1-0 libltdl7 libmagickcore-6.q16-2 \
-    libmagickcore-6.q16-2-extra libmagickwand-6.q16-2 libnetpbm10 libopenexr6 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 \
-    libpaper-utils libpaper1 libpixman-1-0 libpng12-0 librsvg2-2 librsvg2-common libthai-data libthai0 libtiff5 libwmf0.2-7 \
+    libilmbase12 libjbig0 libjbig2dec0 libjpeg62-turbo liblcms2-2 liblqr-1-0 libltdl7 libmagickcore-6.q16-3 \
+    libmagickcore-6.q16-3-extra libmagickwand-6.q16-3 libnetpbm10 libopenexr22 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 \
+    libpaper-utils libpaper1 libpixman-1-0 libpng16-16 librsvg2-2 librsvg2-common libthai-data libthai0 libtiff5 libwmf0.2-7 \
     libxcb-render0 libxcb-shm0 netpbm poppler-data p7zip-full && \
     cd /usr/local/src && \
     wget http://transloadit.imagemagick.org/download/ImageMagick.tar.gz && \
@@ -126,13 +126,7 @@ RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
     cd /usr/local/src && git clone https://github.com/matplotlib/basemap.git && \
     cd basemap && \
     git checkout v1.1.0 && \
-    # Install geos
-    cd geos-3.3.3 && \
-    export GEOS_DIR=/usr/local && \
-    ./configure --prefix=$GEOS_DIR && \
-    make && make install && \
-    # Install basemap
-    cd .. && python setup.py install && \
+    python setup.py install && \
     pip install basemap --no-binary basemap
 
 # sasl is apparently an ibis dependency

From eb7b055c5ba92087074d948e34ac5e5f65de1bde Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 26 Oct 2018 18:33:39 +0000
Subject: [PATCH 0438/1660] install fasttesxt using pip git feature

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 2351c92d..a5a54e68 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -341,7 +341,7 @@ RUN pip install --upgrade cython && \
     pip install --upgrade cysignals && \
     pip install pyfasttext && \
     pip install ktext && \
-    cd /usr/local/src && git clone --depth=1 https://github.com/facebookresearch/fastText.git && cd fastText && pip install . && \
+    pip install git+git://github.com/facebookresearch/fastText.git && \
     apt-get install -y libhunspell-dev && pip install hunspell && \
     pip install annoy && \
     pip install category_encoders && \

From 736bad3134ee889e5cadfcb96f546e425a28c06f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 26 Oct 2018 18:19:09 +0000
Subject: [PATCH 0439/1660] Don't preload tensorflow and torch

---
 patches/sitecustomize.py | 9 +--------
 1 file changed, 1 insertion(+), 8 deletions(-)

diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index f0dfab45..9221ba59 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -1,13 +1,6 @@
-# Monkey patches BigQuery client creation to use proxy.
-
-# Import tensorflow and torch before anything else. This is a hacky workaround to an error on dlopen
-# reporting a limit on static TLS, tracked in:
-# tensorflow: https://github.com/tensorflow/tensorflow/issues/19010
-# torch: https://github.com/pytorch/pytorch/issues/2575
-import tensorflow
-import torch
 import os
 
+# Monkey patches BigQuery client creation to use proxy.
 kaggle_proxy_token = os.getenv("KAGGLE_DATA_PROXY_TOKEN")
 if kaggle_proxy_token:
     from google.auth import credentials

From f9c4830c3bbe42cfcce579081568e4c45b0463fa Mon Sep 17 00:00:00 2001
From: Chris Gorgolewski <krzysztof.gorgolewski@gmail.com>
Date: Sun, 28 Oct 2018 11:22:37 -0700
Subject: [PATCH 0440/1660] Add libGl1 to satisfy vtk depenencies

---
 Dockerfile | 10 +++++++++-
 1 file changed, 9 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 2351c92d..17367a23 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -210,11 +210,19 @@ RUN pip install scipy && \
     conda clean -i -l -t -y && \
     rm -rf /usr/local/src/*
 
+
+# vtk with dependencies
+RUN apt-get install -y libgl1-mesa-glx && \
+    pip install vtk && \
+    # ~~~~ CLEAN UP ~~~~
+    rm -rf /root/.cache/pip/* && \
+    apt-get autoremove -y && apt-get clean
+
+
 RUN pip install --upgrade mpld3 && \
     pip install mplleaflet && \
     pip install gpxpy && \
     pip install arrow && \
-    pip install vtk && \
     pip install nilearn && \
     pip install nibabel && \
     pip install pronouncing && \

From 5389746d750a50f3f31e12dad402f6121343a931 Mon Sep 17 00:00:00 2001
From: Chris Gorgolewski <krzysztof.gorgolewski@gmail.com>
Date: Sun, 28 Oct 2018 14:33:26 -0700
Subject: [PATCH 0441/1660] adding xvfb

---
 Dockerfile | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 2351c92d..89ae6c49 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -210,6 +210,15 @@ RUN pip install scipy && \
     conda clean -i -l -t -y && \
     rm -rf /usr/local/src/*
 
+
+# xvfbwrapper with dependencies
+RUN apt-get install -y xvfb && \
+    pip install xvfbwrapper && \
+    # ~~~~ CLEAN UP ~~~~
+    rm -rf /root/.cache/pip/* && \
+    apt-get autoremove -y && apt-get clean
+
+
 RUN pip install --upgrade mpld3 && \
     pip install mplleaflet && \
     pip install gpxpy && \

From 035f3d13c1cd3079e4adfab6932fd47e901147ca Mon Sep 17 00:00:00 2001
From: Chris Gorgolewski <krzysztof.gorgolewski@gmail.com>
Date: Mon, 29 Oct 2018 09:49:45 -0700
Subject: [PATCH 0442/1660] adding xvfbwrapper test

---
 tests/test_xvfbwrapper.py | 11 +++++++++++
 1 file changed, 11 insertions(+)
 create mode 100644 tests/test_xvfbwrapper.py

diff --git a/tests/test_xvfbwrapper.py b/tests/test_xvfbwrapper.py
new file mode 100644
index 00000000..0b8dac45
--- /dev/null
+++ b/tests/test_xvfbwrapper.py
@@ -0,0 +1,11 @@
+import unittest
+import os.path
+from xvfbwrapper import Xvfb
+
+class TestXvfbwrapper(unittest.TestCase):
+    def test_xvfb(self):
+        vdisplay = Xvfb()
+        vdisplay.start()
+        display_var = ':{}'.format(vdisplay.new_display)
+        self.assertEqual(display_var, os.environ['DISPLAY'])
+        vdisplay.stop()

From 8b04aaee44e3e297ddc08c9354862fed69a58f31 Mon Sep 17 00:00:00 2001
From: Chris Gorgolewski <krzysztof.gorgolewski@gmail.com>
Date: Mon, 29 Oct 2018 09:58:18 -0700
Subject: [PATCH 0443/1660] adding test for dipy renderer

---
 tests/test_dipy.py | 19 +++++++++++++++++++
 1 file changed, 19 insertions(+)
 create mode 100644 tests/test_dipy.py

diff --git a/tests/test_dipy.py b/tests/test_dipy.py
new file mode 100644
index 00000000..de12ef74
--- /dev/null
+++ b/tests/test_dipy.py
@@ -0,0 +1,19 @@
+import unittest
+import os.path
+from dipy.viz import window
+from xvfbwrapper import Xvfb
+
+class TestDipy(unittest.TestCase):
+    out_file = 'test.png'
+    def test_renderer(self):
+        vdisplay = Xvfb()
+        vdisplay.start()
+
+        ren = window.Renderer()
+        window.record(ren, n_frames=1, out_path=self.out_file, size=(600, 600))
+        self.assertTrue(os.path.exists(self.out_file))
+
+        vdisplay.stop()
+
+    def tearDown(self):
+        os.remove(self.out_file)

From 1e73362cc332ea7103de410df5551f64cb6f2411 Mon Sep 17 00:00:00 2001
From: Chris Gorgolewski <krzysztof.gorgolewski@gmail.com>
Date: Mon, 29 Oct 2018 10:01:23 -0700
Subject: [PATCH 0444/1660] adding vtk import test

---
 tests/test_vtk.py | 6 ++++++
 1 file changed, 6 insertions(+)
 create mode 100644 tests/test_vtk.py

diff --git a/tests/test_vtk.py b/tests/test_vtk.py
new file mode 100644
index 00000000..7100223a
--- /dev/null
+++ b/tests/test_vtk.py
@@ -0,0 +1,6 @@
+import unittest
+
+
+class TestVTK(unittest.TestCase):
+    def test_import(self):
+        import vtk

From 67b8d337101972ee9ace1d4d187c0160dd611b81 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 30 Oct 2018 11:01:22 -0400
Subject: [PATCH 0445/1660] Preload tensorflow

If fastai is used prior to tensorflow, an older version of libcudnn is loaded and tensorflow fails with the following error message:
```
tensorflow/stream_executor/cuda/cuda_dnn.cc:343] Loaded runtime CuDNN library: 7.1.2 but source was compiled with: 7.2.1.  CuDNN library major and minor version needs to match or have higher minor version in case of CuDNN 7.0 or later version. If using a binary install, upgrade your CuDNN library.  If building from sources, make sure the library loaded at runtime is compatible with the version specified during compile configuration.
```

Preloading for now (like before) until we find how to fix the issue with fastai
---
 patches/sitecustomize.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index 9221ba59..7447f9cc 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -1,3 +1,5 @@
+# TODO(rosbo): Remove this once we fix the issue with fastai importing older libcudnn if imported prior to tensorflow
+import tensorflow
 import os
 
 # Monkey patches BigQuery client creation to use proxy.

From ff8079a18b7988efb03bf0694933fb771ceb607d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Joaqu=C3=ADn=20Ruales?= <joaqo182@gmail.com>
Date: Tue, 30 Oct 2018 23:36:39 -0700
Subject: [PATCH 0446/1660] Fix broken link in README

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 655c3977..453a4ca8 100644
--- a/README.md
+++ b/README.md
@@ -2,7 +2,7 @@
 
 ![example script](http://i.imgur.com/yrWycNA.png)
 
-This is the Dockerfile (etc.) used for building the image that runs python scripts on Kaggle. [Here's](https://https://gcr.io/kaggle-images/python) the Docker image on Google Container Registry.
+This is the Dockerfile (etc.) used for building the image that runs python scripts on Kaggle. [Here's](https://gcr.io/kaggle-images/python) the Docker image on Google Container Registry.
 
 ## Getting started
 

From 4c6ed0fec1b8385169ec30eaef0a55b055d9972d Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 12 Nov 2018 19:30:01 +0000
Subject: [PATCH 0447/1660] Install latest version of seaborn

---
 Dockerfile            | 5 +++--
 tests/test_seaborn.py | 7 +++++++
 2 files changed, 10 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 8e0430aa..ea4f47f4 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -25,8 +25,9 @@ RUN conda install -y python=3.6.6 && \
     pip install keras_applications==1.0.4 --no-deps && \
     pip install keras_preprocessing==1.0.2 --no-deps
 
-RUN pip install seaborn python-dateutil dask pytagcloud pyyaml joblib \
-    husl geopy ml_metrics mne pyshp && \
+# The anaconda base images includes outdated versions of these packages. Update them to include the latest version.
+RUN pip install --upgrade seaborn python-dateutil dask && \
+    pip install pyyaml joblib pytagcloud husl geopy ml_metrics mne pyshp && \
     conda install -y -c conda-forge spacy && python -m spacy download en && \
     python -m spacy download en_core_web_lg && \
     # The apt-get version of imagemagick is out of date and has compatibility issues, so we build from source
diff --git a/tests/test_seaborn.py b/tests/test_seaborn.py
index 3986bc8c..b20cbe27 100644
--- a/tests/test_seaborn.py
+++ b/tests/test_seaborn.py
@@ -1,7 +1,14 @@
 import unittest
 
+from distutils.version import StrictVersion
+
 import seaborn as sns
 
 class TestSeaborn(unittest.TestCase):
+    # Fails if seaborn gets downgraded by other package installations.
+    def test_version(self):
+        self.assertGreaterEqual(StrictVersion(sns.__version__), StrictVersion("0.9.0"))
+
+
     def test_option(self):
         sns.set(style="darkgrid")

From 3a2c83983c866f82bb8b563a90d6a290698f3b41 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 12 Nov 2018 20:20:16 +0000
Subject: [PATCH 0448/1660] fix-typo-comment

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index ea4f47f4..3525c526 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -25,7 +25,7 @@ RUN conda install -y python=3.6.6 && \
     pip install keras_applications==1.0.4 --no-deps && \
     pip install keras_preprocessing==1.0.2 --no-deps
 
-# The anaconda base images includes outdated versions of these packages. Update them to include the latest version.
+# The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
 RUN pip install --upgrade seaborn python-dateutil dask && \
     pip install pyyaml joblib pytagcloud husl geopy ml_metrics mne pyshp && \
     conda install -y -c conda-forge spacy && python -m spacy download en && \

From 429dec5b0e53c0e43b1664c14a7061083e5a9d25 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 13 Nov 2018 02:36:45 +0000
Subject: [PATCH 0449/1660] Install h2o dependencies

---
 Dockerfile | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 3525c526..71f236c3 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -142,12 +142,11 @@ RUN apt-get -y install libsasl2-dev && \
     pip install cartopy && \
     # MXNet
     pip install mxnet && \
-    # h2o
-    # Temporary sync of conda's numpy with pip's, needed to avoid an install error
-    #conda upgrade -y numpy && \
+    # h2o (requires java)
     # Upgrade numpy with pip to avoid install errors
     pip install --upgrade numpy && \
-    # This requires python-software-properties and Java, which were installed above.
+    # requires java
+    apt-get install -y default-jdk && \
     cd /usr/local/src && mkdir h2o && cd h2o && \
     wget http://h2o-release.s3.amazonaws.com/h2o/latest_stable -O latest && \
     wget --no-check-certificate -i latest -O h2o.zip && rm latest && \

From 5b9224e5cd500abd961db834e67b688db3f9e2e0 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 13 Nov 2018 02:37:22 +0000
Subject: [PATCH 0450/1660] Add tests for h2o

---
 tests/test_h2o.py | 9 +++++++++
 1 file changed, 9 insertions(+)
 create mode 100644 tests/test_h2o.py

diff --git a/tests/test_h2o.py b/tests/test_h2o.py
new file mode 100644
index 00000000..7b6b212d
--- /dev/null
+++ b/tests/test_h2o.py
@@ -0,0 +1,9 @@
+import unittest
+
+import h2o
+
+class TestH2o(unittest.TestCase):
+    def test_init_read(self):
+        h2o.init()
+        train = h2o.import_file("/input/tests/data/train.csv", destination_frame="train")
+        self.assertEqual(19, train.nrow)

From 0020fba526ec69378d5ae59e50d31796fb289269 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 13 Nov 2018 19:41:22 +0000
Subject: [PATCH 0451/1660] close h2o session in test

---
 tests/test_h2o.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/tests/test_h2o.py b/tests/test_h2o.py
index 7b6b212d..94fc57b8 100644
--- a/tests/test_h2o.py
+++ b/tests/test_h2o.py
@@ -3,6 +3,9 @@
 import h2o
 
 class TestH2o(unittest.TestCase):
+    def tearDown(self):
+        h2o.cluster().shutdown(False)
+
     def test_init_read(self):
         h2o.init()
         train = h2o.import_file("/input/tests/data/train.csv", destination_frame="train")

From 8fcae6112175c2a1eef8f1c7246cb7b43fffadeb Mon Sep 17 00:00:00 2001
From: Wendy Kan <wendykan@gmail.com>
Date: Mon, 19 Nov 2018 14:10:35 -0800
Subject: [PATCH 0452/1660] adding kaggle api

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 71f236c3..a8212c59 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -475,6 +475,7 @@ RUN pip install flashtext && \
     pip install PDPbox && \
     pip install ggplot && \
     pip install cesium && \
+    pip install kaggle && \
     ##### ^^^^ Add new contributions above here ^^^^ #####
     # clean up pip cache
     rm -rf /root/.cache/pip/*

From 40499323b7c83503ccfe849120e8cf1e1cbf78bd Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 20 Nov 2018 09:38:46 -0800
Subject: [PATCH 0453/1660] Update ImageMagick binary url

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index a8212c59..abda466c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -40,7 +40,7 @@ RUN pip install --upgrade seaborn python-dateutil dask && \
     libpaper-utils libpaper1 libpixman-1-0 libpng16-16 librsvg2-2 librsvg2-common libthai-data libthai0 libtiff5 libwmf0.2-7 \
     libxcb-render0 libxcb-shm0 netpbm poppler-data p7zip-full && \
     cd /usr/local/src && \
-    wget http://transloadit.imagemagick.org/download/ImageMagick.tar.gz && \
+    wget https://imagemagick.org/download/ImageMagick.tar.gz && \
     tar xzf ImageMagick.tar.gz && cd `ls -d ImageMagick-*` && pwd && ls -al && ./configure && \
     make -j $(nproc) && make install && \
     # clean up ImageMagick source files

From 922c5a9030748ebab4da23d7dbdd4cb89a7b86a1 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 21 Nov 2018 09:06:11 -0800
Subject: [PATCH 0454/1660] Remove the kaggle api package

This breaks the twosigma competition because the code for both lives in a python package called `kaggle`.

The code for the twosigma competition under `kaggle.competitions` should probably be move.

Additionally, the kaggle api client package requires an API secret key. We don't offer a way to manage secrets for now and we don't want to encourage people adding their secret in the code (easy to leak if ever made public).
---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index abda466c..0aff17f6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -475,7 +475,6 @@ RUN pip install flashtext && \
     pip install PDPbox && \
     pip install ggplot && \
     pip install cesium && \
-    pip install kaggle && \
     ##### ^^^^ Add new contributions above here ^^^^ #####
     # clean up pip cache
     rm -rf /root/.cache/pip/*

From 5976f3c19b36060790863af361b769786643a72c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 18 Sep 2018 22:22:43 +0000
Subject: [PATCH 0455/1660] Create process to prebuild tensorflow wheels

---
 tensorflow-whl/CHANGELOG.md |   1 +
 tensorflow-whl/Dockerfile   | 100 ++++++++++++++++++++++++++++++++++++
 tensorflow-whl/README.md    |  22 ++++++++
 tensorflow-whl/build        |  11 ++++
 tensorflow-whl/push         |  25 +++++++++
 5 files changed, 159 insertions(+)
 create mode 100644 tensorflow-whl/CHANGELOG.md
 create mode 100644 tensorflow-whl/Dockerfile
 create mode 100644 tensorflow-whl/README.md
 create mode 100755 tensorflow-whl/build
 create mode 100755 tensorflow-whl/push

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
new file mode 100644
index 00000000..52ab3b13
--- /dev/null
+++ b/tensorflow-whl/CHANGELOG.md
@@ -0,0 +1 @@
+1.11.0-py36: Tensorflow 1.11.0 wheels built with python 3.6
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
new file mode 100644
index 00000000..db5bc8df
--- /dev/null
+++ b/tensorflow-whl/Dockerfile
@@ -0,0 +1,100 @@
+FROM nvidia/cuda:9.1-cudnn7-devel-ubuntu16.04 AS nvidia
+FROM continuumio/anaconda3:5.0.1
+
+# Avoid interactive configuration prompts/dialogs during apt-get.
+ENV DEBIAN_FRONTEND=noninteractive
+
+# This is necessary to for apt to access HTTPS sources
+RUN apt-get update && \
+    apt-get install apt-transport-https
+
+# Cuda support
+COPY --from=nvidia /etc/apt/sources.list.d/cuda.list /etc/apt/sources.list.d/
+COPY --from=nvidia /etc/apt/sources.list.d/nvidia-ml.list /etc/apt/sources.list.d/
+COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
+
+ENV CUDA_VERSION=9.1.85
+ENV CUDA_PKG_VERSION=9-1=$CUDA_VERSION-1
+LABEL com.nvidia.volumes.needed="nvidia_driver"
+LABEL com.nvidia.cuda.version="${CUDA_VERSION}"
+ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
+# The stub is useful to us both for built-time linking and run-time linking, on CPU-only systems.
+# When intended to be used with actual GPUs, make sure to (besides providing access to the host
+# CUDA user libraries, either manually or through the use of nvidia-docker) exclude them. One
+# convenient way to do so is to obscure its contents by a bind mount:
+#   docker run .... -v /non-existing-directory:/usr/local/cuda/lib64/stubs:ro ...
+ENV LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs"
+ENV NVIDIA_VISIBLE_DEVICES=all
+ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
+ENV NVIDIA_REQUIRE_CUDA="cuda>=9.0"
+RUN apt-get update && apt-get install -y --no-install-recommends \
+      cuda-cudart-$CUDA_PKG_VERSION \
+      cuda-libraries-$CUDA_PKG_VERSION \
+      cuda-libraries-dev-$CUDA_PKG_VERSION \
+      cuda-nvml-dev-$CUDA_PKG_VERSION \
+      cuda-minimal-build-$CUDA_PKG_VERSION \
+      cuda-command-line-tools-$CUDA_PKG_VERSION \
+      libcudnn7=7.0.5.15-1+cuda9.1 \
+      libcudnn7-dev=7.0.5.15-1+cuda9.1 \
+      libnccl2=2.2.12-1+cuda9.1 \
+      libnccl-dev=2.2.12-1+cuda9.1 && \
+    ln -s /usr/local/cuda-9.1 /usr/local/cuda && \
+    ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 && \
+    rm -rf /var/lib/apt/lists/*
+
+# Install bazel
+RUN apt-get update && apt-get install -y python-software-properties zip && \
+    echo "deb http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list && \
+    echo "deb-src http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list && \
+    apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys EEA14886 C857C906 2B90D010 && \
+    apt-get update && \
+    echo debconf shared/accepted-oracle-license-v1-1 select true | debconf-set-selections && \
+    echo debconf shared/accepted-oracle-license-v1-1 seen true | debconf-set-selections && \
+    apt-get install -y oracle-java8-installer && \
+    echo "deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8" | tee /etc/apt/sources.list.d/bazel.list && \
+    curl https://bazel.build/bazel-release.pub.gpg | apt-key add - && \
+    apt-get update && apt-get install -y bazel && \
+    apt-get upgrade -y bazel
+
+# Tensorflow doesn't support python 3.7 yet. See https://github.com/tensorflow/tensorflow/issues/20517
+RUN conda install -y python=3.6.6 && \
+    # Another fix for TF 1.10 https://github.com/tensorflow/tensorflow/issues/21518
+    pip install keras_applications==1.0.4 --no-deps && \
+    pip install keras_preprocessing==1.0.2 --no-deps
+
+# Fetch tensorflow
+RUN cd /usr/local/src && \
+    git clone https://github.com/tensorflow/tensorflow && \
+    cd tensorflow && \
+    git checkout r1.11
+
+# Create a tensorflow wheel for CPU
+RUN cd /usr/local/src/tensorflow && \
+    cat /dev/null | ./configure && \
+    bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package && \
+    bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_cpu && \
+    bazel clean
+
+# Create a tensorflow wheel for GPU/cuda
+ENV TF_NEED_CUDA=1
+ENV TF_CUDA_VERSION=9.1
+ENV TF_CUDA_COMPUTE_CAPABILITIES=3.7,6.0
+ENV TF_CUDNN_VERSION=7
+ENV TF_NCCL_VERSION=2
+ENV NCCL_INSTALL_PATH=/usr/
+
+RUN cd /usr/local/src/tensorflow && \
+    # TF_NCCL_INSTALL_PATH is used for both libnccl.so.2 and libnccl.h. Make sure they are both accessible from the same directory.
+    ln -s /usr/lib/x86_64-linux-gnu/libnccl.so.2 /usr/lib/ && \
+    cat /dev/null | ./configure && \
+    echo "/usr/local/cuda-${TF_CUDA_VERSION}/targets/x86_64-linux/lib/stubs" > /etc/ld.so.conf.d/cuda-stubs.conf && ldconfig && \
+    bazel build --config=opt \
+                --config=cuda \
+                --cxxopt="-D_GLIBCXX_USE_CXX11_ABI=0" \
+                //tensorflow/tools/pip_package:build_pip_package && \
+    rm /etc/ld.so.conf.d/cuda-stubs.conf && ldconfig && \
+    bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_gpu && \
+    bazel clean
+
+# Print out the built .whl files
+RUN ls -R /tmp/tensorflow*
diff --git a/tensorflow-whl/README.md b/tensorflow-whl/README.md
new file mode 100644
index 00000000..ba0e0003
--- /dev/null
+++ b/tensorflow-whl/README.md
@@ -0,0 +1,22 @@
+# Build new Tensorflow wheels
+
+```
+./build
+```
+
+# Push the new wheels
+
+1. Add an entry in the [CHANGELOG](CHANGELOG.md) with an appropriate `LABEL`.
+2. Push the new image using the `LABEL` you picked above.
+
+    ```
+    ./push LABEL
+    ```
+
+# Use the new wheels
+
+Update the line below in the [CPU Dockerfile](../Dockerfile) and the [GPU Dockerfile](../gpu.Dockerfile) to use the new `LABEL`.
+
+```
+FROM gcr.io/kaggle-images/python-tensorflow-whl:<NEW-LABEL> as tensorflow_whl
+```
diff --git a/tensorflow-whl/build b/tensorflow-whl/build
new file mode 100755
index 00000000..b5678526
--- /dev/null
+++ b/tensorflow-whl/build
@@ -0,0 +1,11 @@
+#!/bin/bash
+set -e
+set -x
+
+# Default behavior is to do everything from scratch.
+# The --use-cache option is useful if you're iterating on a broken build.
+if [[ "$1" ==  "--use-cache" ]]; then
+    docker build --rm -t kaggle/python-tensorflow-whl .
+else
+    docker build --pull --rm --no-cache -t kaggle/python-tensorflow-whl .
+fi
diff --git a/tensorflow-whl/push b/tensorflow-whl/push
new file mode 100755
index 00000000..a27de8a1
--- /dev/null
+++ b/tensorflow-whl/push
@@ -0,0 +1,25 @@
+#!/bin/bash
+#
+# Push a newly-built image with the given label to gcr.io and DockerHub.
+#
+# Usage:
+#   ./push LABEL
+#
+# Description:
+#   LABEL: Image label. See CHANGELOG.md
+#
+set -e
+set -x
+
+SOURCE_IMAGE="kaggle/python-tensorflow-whl"
+TARGET_IMAGE="gcr.io/kaggle-images/python-tensorflow-whl"
+
+LABEL=$1
+
+if [[ -z "$LABEL" ]]; then
+    echo "You must provide a label for the image"
+    exit 1
+fi
+
+docker tag $SOURCE_IMAGE:latest $TARGET_IMAGE:$LABEL
+gcloud docker -- push $TARGET_IMAGE:$LABEL

From 377387914cd323bda8163c1800e81c627d1474e0 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 27 Nov 2018 02:39:59 +0000
Subject: [PATCH 0456/1660] Add TODOs and improve build/push script

---
 gpu.Dockerfile            |  2 ++
 tensorflow-whl/Dockerfile |  8 +++++--
 tensorflow-whl/build      | 47 ++++++++++++++++++++++++++++++++-------
 tensorflow-whl/push       | 45 ++++++++++++++++++++++++++++---------
 4 files changed, 81 insertions(+), 21 deletions(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 247c7dd4..164b0d25 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -7,6 +7,8 @@ COPY --from=nvidia /etc/apt/sources.list.d/cuda.list /etc/apt/sources.list.d/
 COPY --from=nvidia /etc/apt/sources.list.d/nvidia-ml.list /etc/apt/sources.list.d/
 COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
 
+# Ensure the cuda libraries are compatible with the custom Tensorflow wheels.
+# TODO(b/120050292): Use templating to keep in sync.
 ENV CUDA_VERSION=9.1.85
 ENV CUDA_PKG_VERSION=9-1=$CUDA_VERSION-1
 LABEL com.nvidia.volumes.needed="nvidia_driver"
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index db5bc8df..5b7b421b 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -13,6 +13,8 @@ COPY --from=nvidia /etc/apt/sources.list.d/cuda.list /etc/apt/sources.list.d/
 COPY --from=nvidia /etc/apt/sources.list.d/nvidia-ml.list /etc/apt/sources.list.d/
 COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
 
+# Ensure the cuda libraries are compatible with the GPU image.
+# TODO(b/120050292): Use templating to keep in sync.
 ENV CUDA_VERSION=9.1.85
 ENV CUDA_PKG_VERSION=9-1=$CUDA_VERSION-1
 LABEL com.nvidia.volumes.needed="nvidia_driver"
@@ -28,14 +30,16 @@ ENV NVIDIA_VISIBLE_DEVICES=all
 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
 ENV NVIDIA_REQUIRE_CUDA="cuda>=9.0"
 RUN apt-get update && apt-get install -y --no-install-recommends \
+      cuda-cupti-$CUDA_PKG_VERSION \
       cuda-cudart-$CUDA_PKG_VERSION \
+      cuda-cudart-dev-$CUDA_PKG_VERSION \
       cuda-libraries-$CUDA_PKG_VERSION \
       cuda-libraries-dev-$CUDA_PKG_VERSION \
       cuda-nvml-dev-$CUDA_PKG_VERSION \
       cuda-minimal-build-$CUDA_PKG_VERSION \
       cuda-command-line-tools-$CUDA_PKG_VERSION \
-      libcudnn7=7.0.5.15-1+cuda9.1 \
-      libcudnn7-dev=7.0.5.15-1+cuda9.1 \
+      libcudnn7=7.2.1.38-1+cuda9.0 \
+      libcudnn7-dev=7.2.1.38-1+cuda9.0 \
       libnccl2=2.2.12-1+cuda9.1 \
       libnccl-dev=2.2.12-1+cuda9.1 && \
     ln -s /usr/local/cuda-9.1 /usr/local/cuda && \
diff --git a/tensorflow-whl/build b/tensorflow-whl/build
index b5678526..dc705f17 100755
--- a/tensorflow-whl/build
+++ b/tensorflow-whl/build
@@ -1,11 +1,42 @@
 #!/bin/bash
 set -e
-set -x
 
-# Default behavior is to do everything from scratch.
-# The --use-cache option is useful if you're iterating on a broken build.
-if [[ "$1" ==  "--use-cache" ]]; then
-    docker build --rm -t kaggle/python-tensorflow-whl .
-else
-    docker build --pull --rm --no-cache -t kaggle/python-tensorflow-whl .
-fi
+usage() {
+cat << EOF
+Usage: $0 [OPTIONS]
+Build new Tensorflow wheels for use in the Kaggle Docker Python base images.
+
+Options:
+    -c, --use-cache Use layer cache when building a new image.
+EOF
+}
+
+CACHE_FLAG="--no-cache"
+IMAGE_TAG="kaggle/python-build"
+
+while :; do
+    case "$1" in 
+        -h|--help)
+            usage
+            exit
+            ;;
+        -c|--use-cache)
+            CACHE_FLAG=""
+            ;;
+        -?*)
+            usage
+            printf 'ERROR: Unknown option: %s\n' "$1" >&2
+            exit
+            ;;
+        *)            
+            break
+    esac
+
+    shift
+done
+
+readonly CACHE_FLAG
+readonly IMAGE_TAG
+
+set -x
+docker build --rm --pull $CACHE_FLAG -t "$IMAGE_TAG" .
diff --git a/tensorflow-whl/push b/tensorflow-whl/push
index a27de8a1..dfb64ec8 100755
--- a/tensorflow-whl/push
+++ b/tensorflow-whl/push
@@ -1,19 +1,37 @@
 #!/bin/bash
-#
-# Push a newly-built image with the given label to gcr.io and DockerHub.
-#
-# Usage:
-#   ./push LABEL
-#
-# Description:
-#   LABEL: Image label. See CHANGELOG.md
-#
 set -e
+
+usage() {
+cat << EOF
+Usage: $0 [LABEL]
+Push a newly-built image with the given LABEL to gcr.io and DockerHub.
+See CHANGELOG.md file for LABEL naming convention.
+EOF
+}
+
 set -x
 
 SOURCE_IMAGE="kaggle/python-tensorflow-whl"
 TARGET_IMAGE="gcr.io/kaggle-images/python-tensorflow-whl"
 
+while :; do
+    case "$1" in 
+        -h|--help)
+            usage
+            exit
+            ;;
+        -?*)
+            usage
+            printf 'ERROR: Unknown option: %s\n' "$1" >&2
+            exit
+            ;;
+        *)            
+            break
+    esac
+
+    shift
+done
+
 LABEL=$1
 
 if [[ -z "$LABEL" ]]; then
@@ -21,5 +39,10 @@ if [[ -z "$LABEL" ]]; then
     exit 1
 fi
 
-docker tag $SOURCE_IMAGE:latest $TARGET_IMAGE:$LABEL
-gcloud docker -- push $TARGET_IMAGE:$LABEL
+readonly SOURCE_IMAGE
+readonly TARGET_IMAGE
+readonly LABEL
+
+set -x
+docker tag "$SOURCE_IMAGE:latest" "$TARGET_IMAGE:$LABEL"
+gcloud docker -- push "$TARGET_IMAGE:$LABEL"

From 52b051e44b53a816f62080ed17228d699787b1fb Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 27 Nov 2018 02:45:17 +0000
Subject: [PATCH 0457/1660] fix typo

---
 tensorflow-whl/README.md | 2 +-
 tensorflow-whl/build     | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/tensorflow-whl/README.md b/tensorflow-whl/README.md
index ba0e0003..509591a2 100644
--- a/tensorflow-whl/README.md
+++ b/tensorflow-whl/README.md
@@ -18,5 +18,5 @@
 Update the line below in the [CPU Dockerfile](../Dockerfile) and the [GPU Dockerfile](../gpu.Dockerfile) to use the new `LABEL`.
 
 ```
-FROM gcr.io/kaggle-images/python-tensorflow-whl:<NEW-LABEL> as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:<LABEL> as tensorflow_whl
 ```
diff --git a/tensorflow-whl/build b/tensorflow-whl/build
index dc705f17..4aa06d25 100755
--- a/tensorflow-whl/build
+++ b/tensorflow-whl/build
@@ -12,7 +12,7 @@ EOF
 }
 
 CACHE_FLAG="--no-cache"
-IMAGE_TAG="kaggle/python-build"
+IMAGE_TAG="kaggle/python-tensorflow-whl"
 
 while :; do
     case "$1" in 

From 24765fc4560216689111b2844c2cf8f9694c0c31 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 27 Nov 2018 19:20:24 +0000
Subject: [PATCH 0458/1660] add comment about copying cuda libraries binaries
 from the tensorflow base image

---
 gpu.Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 164b0d25..5f3ff669 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -8,7 +8,7 @@ COPY --from=nvidia /etc/apt/sources.list.d/nvidia-ml.list /etc/apt/sources.list.
 COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
 
 # Ensure the cuda libraries are compatible with the custom Tensorflow wheels.
-# TODO(b/120050292): Use templating to keep in sync.
+# TODO(b/120050292): Use templating to keep in sync or COPY installed binaries from it.
 ENV CUDA_VERSION=9.1.85
 ENV CUDA_PKG_VERSION=9-1=$CUDA_VERSION-1
 LABEL com.nvidia.volumes.needed="nvidia_driver"

From d36e68d6611b504cae94cfe1e5d9fc3f04a138ec Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 29 Nov 2018 03:00:21 +0000
Subject: [PATCH 0459/1660] Install rgf

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 0aff17f6..185aaaba 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -475,6 +475,7 @@ RUN pip install flashtext && \
     pip install PDPbox && \
     pip install ggplot && \
     pip install cesium && \
+    pip install rgf_python && \
     ##### ^^^^ Add new contributions above here ^^^^ #####
     # clean up pip cache
     rm -rf /root/.cache/pip/*

From cb2a9362a33fe7f1134f91aa421e721c9c011f14 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 29 Nov 2018 03:00:31 +0000
Subject: [PATCH 0460/1660] add test

---
 tests/test_rgf.py | 19 +++++++++++++++++++
 1 file changed, 19 insertions(+)
 create mode 100644 tests/test_rgf.py

diff --git a/tests/test_rgf.py b/tests/test_rgf.py
new file mode 100644
index 00000000..86bc5375
--- /dev/null
+++ b/tests/test_rgf.py
@@ -0,0 +1,19 @@
+import unittest
+
+from sklearn import datasets
+from rgf.sklearn import RGFClassifier
+
+
+class TestRGF(unittest.TestCase):
+    def test_classifier(self):
+        iris = datasets.load_iris()
+        X, y = iris.data, iris.target
+
+        rgf = RGFClassifier(max_leaf=400,
+            algorithm="RGF_Sib",
+            test_interval=100,
+            n_iter=1)
+
+        rgf.fit(X,y)
+
+        
\ No newline at end of file

From 4cfa7455f027d9aaa7eaaf94d957aed779cc4039 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 29 Nov 2018 03:02:10 +0000
Subject: [PATCH 0461/1660] formatting

---
 tests/test_rgf.py | 2 --
 1 file changed, 2 deletions(-)

diff --git a/tests/test_rgf.py b/tests/test_rgf.py
index 86bc5375..64101483 100644
--- a/tests/test_rgf.py
+++ b/tests/test_rgf.py
@@ -3,7 +3,6 @@
 from sklearn import datasets
 from rgf.sklearn import RGFClassifier
 
-
 class TestRGF(unittest.TestCase):
     def test_classifier(self):
         iris = datasets.load_iris()
@@ -15,5 +14,4 @@ def test_classifier(self):
             n_iter=1)
 
         rgf.fit(X,y)
-
         
\ No newline at end of file

From f9974b29757ab6a1e6e2d7841e55f631a5eb85f5 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 30 Nov 2018 19:13:46 +0000
Subject: [PATCH 0462/1660] Add basic import tests for packages installed in
 editable mode

---
 tests/test_imports.py | 7 +++++++
 1 file changed, 7 insertions(+)
 create mode 100644 tests/test_imports.py

diff --git a/tests/test_imports.py b/tests/test_imports.py
new file mode 100644
index 00000000..e099063c
--- /dev/null
+++ b/tests/test_imports.py
@@ -0,0 +1,7 @@
+import unittest
+
+class TestImport(unittest.TestCase):
+    # Basic import tests for packages without any.
+    def test_basic(self):
+        import bq_helper
+        import cleverhans

From dd6ff75823035ddf1cd8fa6a606d91dab1abc759 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 30 Nov 2018 19:42:09 +0000
Subject: [PATCH 0463/1660] Install all packages in non-editable mode

---
 Dockerfile | 12 ++++++++----
 1 file changed, 8 insertions(+), 4 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 185aaaba..dc6b5b2a 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -73,7 +73,7 @@ RUN apt-get install -y libfreetype6-dev && \
     #neon
     cd /usr/local/src && \
     git clone --depth 1 https://github.com/NervanaSystems/neon.git && \
-    cd neon && pip install -e . && \
+    cd neon && pip install . && \
     #nolearn
     cd /usr/local/src && mkdir nolearn && cd nolearn && \
     git clone --depth 1 https://github.com/dnouri/nolearn.git && cd nolearn && \
@@ -304,7 +304,7 @@ RUN pip install fancyimpute && \
     pip install nibabel && \
     pip install mlens && \
     pip install scikit-multilearn && \
-    pip install -e git+http://github.com/tensorflow/cleverhans.git#egg=cleverhans && \
+    pip install git+http://github.com/tensorflow/cleverhans.git#egg=cleverhans && \
     pip install leven && \
     pip install catboost && \
     #cd /usr/local/src && git clone --depth=1 https://github.com/AxeldeRomblay/MLBox && cd MLBox/python-package && python setup.py install && \
@@ -457,7 +457,7 @@ RUN pip install flashtext && \
     pip install pympler && \
     pip install s3fs && \
     pip install featuretools && \
-    pip install -e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper && \
+    pip install git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper && \
     pip install hpsklearn && \
     pip install keras-tqdm && \
     pip install git+https://github.com/Kaggle/learntools && \
@@ -481,7 +481,11 @@ RUN pip install flashtext && \
     rm -rf /root/.cache/pip/*
 
 # Pin Vowpal Wabbit v8.6.0 because 8.6.1 does not build or install successfully
-RUN cd /usr/local/src && git clone -b 8.6.0 https://github.com/JohnLangford/vowpal_wabbit.git && ./vowpal_wabbit/python/conda_install.sh
+RUN cd /usr/local/src && \
+    git clone -b 8.6.0 https://github.com/JohnLangford/vowpal_wabbit.git && \
+    ./vowpal_wabbit/python/conda_install.sh && \
+    # Reinstall in non-editable mode (without the -e flag)
+    pip install vowpal_wabbit/python
 
 # For Facets
 ENV PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/

From 0e0a2dc6892d2621ca21ff93b0fbbb3d62f4db75 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <roseberryv@gmail.com>
Date: Fri, 30 Nov 2018 15:27:04 -0800
Subject: [PATCH 0464/1660] Put back bq_helper in editable mode and install
 cleverhans from pypi.

Partial rollback of #389 because
---
 Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index dc6b5b2a..de302523 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -304,7 +304,7 @@ RUN pip install fancyimpute && \
     pip install nibabel && \
     pip install mlens && \
     pip install scikit-multilearn && \
-    pip install git+http://github.com/tensorflow/cleverhans.git#egg=cleverhans && \
+    pip install cleverhans && \
     pip install leven && \
     pip install catboost && \
     #cd /usr/local/src && git clone --depth=1 https://github.com/AxeldeRomblay/MLBox && cd MLBox/python-package && python setup.py install && \
@@ -457,7 +457,7 @@ RUN pip install flashtext && \
     pip install pympler && \
     pip install s3fs && \
     pip install featuretools && \
-    pip install git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper && \
+    pip install -e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper && \
     pip install hpsklearn && \
     pip install keras-tqdm && \
     pip install git+https://github.com/Kaggle/learntools && \

From eb3f09f9192354c232c9e5889afd360d235505ab Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 30 Nov 2018 00:55:37 +0000
Subject: [PATCH 0465/1660] Cleanup useless files for each image layers

---
 Dockerfile     | 75 +++++++++++++++++++++++---------------------------
 clean-layer.sh | 22 +++++++++++++++
 gpu.Dockerfile | 11 ++++++--
 3 files changed, 65 insertions(+), 43 deletions(-)
 create mode 100755 clean-layer.sh

diff --git a/Dockerfile b/Dockerfile
index de302523..21b8d1f3 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,13 +1,15 @@
 FROM gcr.io/kaggle-images/python-tensorflow-whl:1.11.0-py36 as tensorflow_whl
 FROM continuumio/anaconda3:5.2.0
 
-# This is necessary for apt to access HTTPS sources
-RUN apt-get update && \
-    apt-get install apt-transport-https
-
+ADD clean-layer.sh  /tmp/clean-layer.sh
 ADD patches/ /tmp/patches/
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
 
+# This is necessary for apt to access HTTPS sources
+RUN apt-get update && \
+    apt-get install apt-transport-https && \
+    /tmp/clean-layer.sh
+
     # Use a fixed apt-get repo to stop intermittent failures due to flaky httpredir connections,
     # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
 RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \
@@ -15,7 +17,8 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     # https://stackoverflow.com/a/46498173
     conda update -y conda && conda update -y python && \
     pip install --upgrade pip && \
-    apt-get -y install cmake
+    apt-get -y install cmake && \
+    /tmp/clean-layer.sh
 
 # Tensorflow doesn't support python 3.7 yet. See https://github.com/tensorflow/tensorflow/issues/20517
 # Fix to install tf 1.10:: Downgrade python 3.7->3.6.6 and downgrade Pandas 0.23.3->0.23.2
@@ -23,7 +26,8 @@ RUN conda install -y python=3.6.6 && \
     pip install pandas==0.23.2 && \
     # Another fix for TF 1.10 https://github.com/tensorflow/tensorflow/issues/21518
     pip install keras_applications==1.0.4 --no-deps && \
-    pip install keras_preprocessing==1.0.2 --no-deps
+    pip install keras_preprocessing==1.0.2 --no-deps && \
+    /tmp/clean-layer.sh
 
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
 RUN pip install --upgrade seaborn python-dateutil dask && \
@@ -43,13 +47,13 @@ RUN pip install --upgrade seaborn python-dateutil dask && \
     wget https://imagemagick.org/download/ImageMagick.tar.gz && \
     tar xzf ImageMagick.tar.gz && cd `ls -d ImageMagick-*` && pwd && ls -al && ./configure && \
     make -j $(nproc) && make install && \
-    # clean up ImageMagick source files
-    cd ../ && rm -rf ImageMagick*
+    /tmp/clean-layer.sh
 
 # Install tensorflow from a pre-built wheel
 COPY --from=tensorflow_whl /tmp/tensorflow_cpu/*.whl /tmp/tensorflow_cpu/
 RUN pip install /tmp/tensorflow_cpu/tensorflow*.whl && \
-    rm -rf /tmp/tensorflow_cpu
+    rm -rf /tmp/tensorflow_cpu && \
+    /tmp/clean-layer.sh
 
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
@@ -112,10 +116,7 @@ RUN apt-get install -y libfreetype6-dev && \
     vader_lexicon verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe && \
     # Stop-words
     pip install stop-words && \
-    # clean up
-    rm -rf /root/.cache/pip/* && \
-    apt-get autoremove -y && apt-get clean && \
-    rm -rf /usr/local/src/*
+    /tmp/clean-layer.sh
 
 # Make sure the dynamic linker finds the right libstdc++
 ENV LD_LIBRARY_PATH=/opt/conda/lib
@@ -128,10 +129,9 @@ RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
     cd basemap && \
     git checkout v1.1.0 && \
     python setup.py install && \
-    pip install basemap --no-binary basemap
-
-# sasl is apparently an ibis dependency
-RUN apt-get -y install libsasl2-dev && \
+    pip install basemap --no-binary basemap && \
+    # sasl is apparently an ibis dependency
+    apt-get -y install libsasl2-dev && \
     # ...as is psycopg2
     apt-get install -y libpq-dev && \
     pip install ibis-framework && \
@@ -162,7 +162,8 @@ RUN apt-get -y install libsasl2-dev && \
     # Re-run it to flush any more disk writes
     python -c "from keras.models import Sequential; from keras import backend; print(backend._BACKEND)" && \
     # Keras reverts to /tmp from ~ when it detects a read-only file system
-    mkdir -p /tmp/.keras && cp /root/.keras/keras.json /tmp/.keras
+    mkdir -p /tmp/.keras && cp /root/.keras/keras.json /tmp/.keras && \
+    /tmp/clean-layer.sh
 
     # scikit-learn dependencies
 RUN pip install scipy && \
@@ -204,11 +205,7 @@ RUN pip install scipy && \
     apt-get install -y sox libsox-dev libsox-fmt-all && \
     pip install cffi && \
     cd /usr/local/src && git clone https://github.com/pytorch/audio && cd audio && python setup.py install && \
-    # ~~~~ CLEAN UP ~~~~
-    rm -rf /root/.cache/pip/* && \
-    apt-get autoremove -y && apt-get clean && \
-    conda clean -i -l -t -y && \
-    rm -rf /usr/local/src/*
+    /tmp/clean-layer.sh
 
 # vtk with dependencies
 RUN apt-get install -y libgl1-mesa-glx && \
@@ -216,9 +213,7 @@ RUN apt-get install -y libgl1-mesa-glx && \
     # xvfbwrapper with dependencies
     apt-get install -y xvfb && \
     pip install xvfbwrapper && \
-    # ~~~~ CLEAN UP ~~~~
-    rm -rf /root/.cache/pip/* && \
-    apt-get autoremove -y && apt-get clean
+    /tmp/clean-layer.sh
 
 RUN pip install --upgrade mpld3 && \
     pip install mplleaflet && \
@@ -268,7 +263,8 @@ RUN pip install --upgrade mpld3 && \
     pip install pystan && \
     pip install ImageHash && \
     conda install -y ecos && \
-    conda install -y CVXcanon
+    conda install -y CVXcanon && \
+    /tmp/clean-layer.sh
 
 RUN pip install fancyimpute && \
     pip install git+https://github.com/pymc-devs/pymc3 && \
@@ -324,7 +320,8 @@ RUN pip install fancyimpute && \
     pip install geoplot && \
     pip install eli5 && \
     pip install implicit && \
-    pip install dask-ml[xgboost]
+    pip install dask-ml[xgboost] && \
+    /tmp/clean-layer.sh
 
 RUN pip install kmeans-smote --no-dependencies && \
     # Add google PAIR-code Facets
@@ -343,7 +340,8 @@ RUN pip install kmeans-smote --no-dependencies && \
     pip install cufflinks && \
     pip install glmnet_py && \
     pip install lime && \
-    pip install memory_profiler
+    pip install memory_profiler && \
+    /tmp/clean-layer.sh
 
 # install cython & cysignals before pyfasttext
 RUN pip install --upgrade cython && \
@@ -374,9 +372,8 @@ RUN pip install --upgrade cython && \
     pip install mlcrate && \
     # Required to display Altair charts in Jupyter notebook
     pip install vega3 && \
-    jupyter nbextension install --sys-prefix --py vega3  && \
-    # clean up pip cache
-    rm -rf /root/.cache/pip/*
+    jupyter nbextension install --sys-prefix --py vega3 && \
+    /tmp/clean-layer.sh
 
 # Fast.ai and dependencies
 RUN pip install bcolz && \
@@ -438,9 +435,7 @@ RUN pip install bcolz && \
     # which downgrades pytorch. fastai does work with pytorch 0.4.
     pip install fastai==0.7.0 --no-deps && \
     pip install torchtext && \
-    # clean up pip cache
-    rm -rf /root/.cache/pip/* && \
-    cd && rm -rf /usr/local/src/*
+    /tmp/clean-layer.sh
 
     ###########
     #
@@ -476,16 +471,15 @@ RUN pip install flashtext && \
     pip install ggplot && \
     pip install cesium && \
     pip install rgf_python && \
-    ##### ^^^^ Add new contributions above here ^^^^ #####
-    # clean up pip cache
-    rm -rf /root/.cache/pip/*
+    /tmp/clean-layer.sh
 
 # Pin Vowpal Wabbit v8.6.0 because 8.6.1 does not build or install successfully
 RUN cd /usr/local/src && \
     git clone -b 8.6.0 https://github.com/JohnLangford/vowpal_wabbit.git && \
     ./vowpal_wabbit/python/conda_install.sh && \
     # Reinstall in non-editable mode (without the -e flag)
-    pip install vowpal_wabbit/python
+    pip install vowpal_wabbit/python && \
+    /tmp/clean-layer.sh
 
 # For Facets
 ENV PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/
@@ -501,7 +495,8 @@ RUN pip install --upgrade dask && \
     # Stop Matplotlib printing junk to the console on first load
     sed -i "s/^.*Matplotlib is building the font cache using fc-list.*$/# Warning removed by Kaggle/g" /opt/conda/lib/python3.6/site-packages/matplotlib/font_manager.py && \
     # Make matplotlib output in Jupyter notebooks display correctly
-    mkdir -p /etc/ipython/ && echo "c = get_config(); c.IPKernelApp.matplotlib = 'inline'" > /etc/ipython/ipython_config.py
+    mkdir -p /etc/ipython/ && echo "c = get_config(); c.IPKernelApp.matplotlib = 'inline'" > /etc/ipython/ipython_config.py && \
+    /tmp/clean-layer.sh
 
 # Add BigQuery client proxy settings
 ENV PYTHONUSERBASE "/root/.local"
diff --git a/clean-layer.sh b/clean-layer.sh
new file mode 100755
index 00000000..fd14c1ee
--- /dev/null
+++ b/clean-layer.sh
@@ -0,0 +1,22 @@
+#!/bin/bash
+#
+# This scripts should be called at the end of each RUN command
+# in the Dockerfiles.
+#
+# Each RUN command creates a new layer that is stored separately.
+# At the end of each command, we should ensure we clean up downloaded
+# archives and source files used to produce binary to reduce the size
+# of the layer.
+set -e
+set -x
+
+# Delete files that pip caches when installing a package.
+rm -rf /root/.cache/pip/*
+# Delete old downloaded archive files 
+apt-get autoremove -y
+# Delete downloaded archive files
+apt-get clean
+# Delete source files used for building binaries
+rm -rf /usr/local/src/*
+# Delete conda downloaded tarballs
+conda clean -y --tarballs
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 5f3ff669..41ec73b3 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -2,6 +2,8 @@ FROM nvidia/cuda:9.1-cudnn7-devel-ubuntu16.04 AS nvidia
 FROM gcr.io/kaggle-images/python-tensorflow-whl:1.11.0-py36 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:staging
 
+ADD clean-layer.sh  /tmp/clean-layer.sh
+
 # Cuda support
 COPY --from=nvidia /etc/apt/sources.list.d/cuda.list /etc/apt/sources.list.d/
 COPY --from=nvidia /etc/apt/sources.list.d/nvidia-ml.list /etc/apt/sources.list.d/
@@ -36,7 +38,8 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
       libnccl2=2.2.12-1+cuda9.1 \
       libnccl-dev=2.2.12-1+cuda9.1 && \
     ln -s /usr/local/cuda-9.1 /usr/local/cuda && \
-    ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
+    ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 && \
+    /tmp/clean-layer.sh
 
 # Reinstall packages with a separate version for GPU support
 # Tensorflow
@@ -45,7 +48,9 @@ RUN pip uninstall -y tensorflow && \
     pip install /tmp/tensorflow_gpu/tensorflow*.whl && \
     rm -rf /tmp/tensorflow_gpu && \
     conda uninstall -y pytorch-cpu torchvision-cpu && \
-    conda install -y pytorch torchvision -c pytorch
+    conda install -y pytorch torchvision -c pytorch && \
+    /tmp/clean-layer.sh
 
 # Install GPU-only packages
-RUN pip install pycuda
+RUN pip install pycuda && \
+    /tmp/clean-layer.sh

From c1b8c5b3f0375fb425408142e8ea804d27cb92c7 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 6 Dec 2018 20:06:34 +0000
Subject: [PATCH 0466/1660] Compare package versions with prod

---
 Jenkinsfile | 19 +++++++++++++++++++
 diff        | 54 +++++++++++++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 73 insertions(+)
 create mode 100755 diff

diff --git a/Jenkinsfile b/Jenkinsfile
index c8ab54da..05c7b9dc 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -17,6 +17,25 @@ pipeline {
     SLACK_CHANNEL = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"master\" ]]; then echo \"#kernelops\"; else echo \"#builds\"; fi").trim()
   }
 
+  // TODO: Move at the end
+  stages {
+    stage('Package Versions Diff') {
+      parallel {
+        stage('CPU') {
+          steps {
+            sh '''#!/bin/bash
+            set -exo pipefail
+
+            ./diff
+          '''
+          }
+        }
+        // TODO: Add GPU stage
+      }      
+    }
+
+  }
+
   stages {
     stage('Docker CPU Build') {
       steps {
diff --git a/diff b/diff
new file mode 100755
index 00000000..73cefeab
--- /dev/null
+++ b/diff
@@ -0,0 +1,54 @@
+#!/bin/bash
+set -e
+
+usage() {
+cat << EOF
+Usage: $0 [OPTIONS]
+Compare the package versions of the newly built Docker with the one in prod.
+
+Options:
+    -g, --gpu       Compare GPU images.
+EOF
+}
+
+
+BASE_IMAGE_TAG="gcr.io/kaggle-images/python:latest"
+TARGET_IMAGE_TAG="kaggle/python-build"
+
+while :; do
+    case "$1" in 
+        -h|--help)
+            usage
+            exit
+            ;;
+        -g|--gpu)
+            BASE_IMAGE_TAG="gcr.io/kaggle-private-byod/python:latest"
+            TARGET_IMAGE_TAG="kaggle/python-gpu-build"
+            ;;
+        -?*)
+            usage
+            printf 'ERROR: Unknown option: %s\n' "$1" >&2
+            exit
+            ;;
+        *)            
+            break
+    esac
+
+    shift
+done
+
+readonly BASE_IMAGE_TAG
+readonly TARGET_IMAGE_TAG
+
+echo "Base: $BASE_IMAGE_TAG"
+echo "Target: $TARGET_IMAGE_TAG"
+
+docker pull "$BASE_IMAGE_TAG"
+
+CMDS=('dpkg-query --show -f "${Package}==${Version}\n"' 'pip freeze')
+for cmd in "${CMDS[@]}"; do
+    echo "== Comparing $cmd =="
+    diff --report-identical-files --suppress-common-lines --side-by-side \
+        <(docker run --rm "$BASE_IMAGE_TAG" $cmd) \
+        <(docker run --rm "$TARGET_IMAGE_TAG" $cmd)
+done

From ab4f793e300217781549ebfba2e3577ca11d5fe0 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 6 Dec 2018 20:10:40 +0000
Subject: [PATCH 0467/1660] fix Jenkinsfile

---
 Jenkinsfile | 6 +-----
 1 file changed, 1 insertion(+), 5 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 05c7b9dc..ebd376d4 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -17,8 +17,8 @@ pipeline {
     SLACK_CHANNEL = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"master\" ]]; then echo \"#kernelops\"; else echo \"#builds\"; fi").trim()
   }
 
-  // TODO: Move at the end
   stages {
+    // TODO: Move at the end
     stage('Package Versions Diff') {
       parallel {
         stage('CPU') {
@@ -33,10 +33,6 @@ pipeline {
         // TODO: Add GPU stage
       }      
     }
-
-  }
-
-  stages {
     stage('Docker CPU Build') {
       steps {
         slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} docker build>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL

From f18077a12a3e1c2e75674ef80b68708bb369a562 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 6 Dec 2018 20:25:30 +0000
Subject: [PATCH 0468/1660] compare gpu package versions

---
 Jenkinsfile | 38 +++++++++++++++++++++++---------------
 1 file changed, 23 insertions(+), 15 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index ebd376d4..1cec355e 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -18,21 +18,6 @@ pipeline {
   }
 
   stages {
-    // TODO: Move at the end
-    stage('Package Versions Diff') {
-      parallel {
-        stage('CPU') {
-          steps {
-            sh '''#!/bin/bash
-            set -exo pipefail
-
-            ./diff
-          '''
-          }
-        }
-        // TODO: Add GPU stage
-      }      
-    }
     stage('Docker CPU Build') {
       steps {
         slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} docker build>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
@@ -111,6 +96,29 @@ pipeline {
         '''
       }
     }
+
+    stage('Package Versions Diff') {
+      parallel {
+        stage('CPU') {
+          steps {
+            sh '''#!/bin/bash
+            set -exo pipefail
+
+            ./diff || true
+          '''
+          }
+        },
+        stage('GPU') {
+          steps {
+            sh '''#!/bin/bash
+            set -exo pipefail
+
+            ./diff --gpu || true
+          '''
+          }
+        }
+      }
+    }
   }
 
   post {

From b5048911f5472a11bdaf7a09026082a1b3926f68 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 6 Dec 2018 20:26:39 +0000
Subject: [PATCH 0469/1660] Improve description

---
 diff | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/diff b/diff
index 73cefeab..7c4a11ad 100755
--- a/diff
+++ b/diff
@@ -4,7 +4,7 @@ set -e
 usage() {
 cat << EOF
 Usage: $0 [OPTIONS]
-Compare the package versions of the newly built Docker with the one in prod.
+Compare the locally built Docker image package versions against the prod image.
 
 Options:
     -g, --gpu       Compare GPU images.

From fd68e18791d4dc08298daab2d07bfbb9297de69f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 6 Dec 2018 20:30:31 +0000
Subject: [PATCH 0470/1660] fix jenkins file

---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 1cec355e..41b69234 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -107,7 +107,7 @@ pipeline {
             ./diff || true
           '''
           }
-        },
+        }
         stage('GPU') {
           steps {
             sh '''#!/bin/bash

From 4a03d2b195672f23876378b8d0090046fb690871 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 6 Dec 2018 21:52:00 +0000
Subject: [PATCH 0471/1660] set agent properly for GPU

---
 Jenkinsfile | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 41b69234..673c9887 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -97,9 +97,10 @@ pipeline {
       }
     }
 
-    stage('Package Versions Diff') {
+    stage('Package Versions') {
       parallel {
-        stage('CPU') {
+        slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} diff CPU image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
+        stage('CPU Diff') {
           steps {
             sh '''#!/bin/bash
             set -exo pipefail
@@ -108,7 +109,9 @@ pipeline {
           '''
           }
         }
-        stage('GPU') {
+        stage('GPU Diff') {
+          slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} diff GPU image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
+          agent { label 'ephemeral-linux-gpu' }
           steps {
             sh '''#!/bin/bash
             set -exo pipefail

From f8f62fc53cc8a42a006740cc72d0f46b27e4b155 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 6 Dec 2018 21:57:43 +0000
Subject: [PATCH 0472/1660] Fix Jenkinsfile

---
 Jenkinsfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 673c9887..9c1b2018 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -99,9 +99,9 @@ pipeline {
 
     stage('Package Versions') {
       parallel {
-        slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} diff CPU image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
         stage('CPU Diff') {
           steps {
+            slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} diff CPU image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
             sh '''#!/bin/bash
             set -exo pipefail
 
@@ -110,9 +110,9 @@ pipeline {
           }
         }
         stage('GPU Diff') {
-          slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} diff GPU image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
           agent { label 'ephemeral-linux-gpu' }
           steps {
+            slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} diff GPU image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
             sh '''#!/bin/bash
             set -exo pipefail
 

From 2d67869c03aa6b148ec5ac86286df9d86ceb6097 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 6 Dec 2018 22:04:27 +0000
Subject: [PATCH 0473/1660] Expect failures

---
 Jenkinsfile | 8 ++------
 diff        | 2 --
 2 files changed, 2 insertions(+), 8 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 9c1b2018..1a7f383e 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -103,9 +103,7 @@ pipeline {
           steps {
             slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} diff CPU image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
             sh '''#!/bin/bash
-            set -exo pipefail
-
-            ./diff || true
+            ./diff
           '''
           }
         }
@@ -114,9 +112,7 @@ pipeline {
           steps {
             slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} diff GPU image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
             sh '''#!/bin/bash
-            set -exo pipefail
-
-            ./diff --gpu || true
+            ./diff
           '''
           }
         }
diff --git a/diff b/diff
index 7c4a11ad..9898e3a8 100755
--- a/diff
+++ b/diff
@@ -1,6 +1,4 @@
 #!/bin/bash
-set -e
-
 usage() {
 cat << EOF
 Usage: $0 [OPTIONS]

From c33c004efbab4219d5abca176359aa28561cbfac Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 6 Dec 2018 22:15:54 +0000
Subject: [PATCH 0474/1660] improve corner cases handling

---
 diff | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/diff b/diff
index 9898e3a8..ecbfd261 100755
--- a/diff
+++ b/diff
@@ -1,4 +1,6 @@
 #!/bin/bash
+set -e
+
 usage() {
 cat << EOF
 Usage: $0 [OPTIONS]
@@ -46,7 +48,8 @@ docker pull "$BASE_IMAGE_TAG"
 CMDS=('dpkg-query --show -f "${Package}==${Version}\n"' 'pip freeze')
 for cmd in "${CMDS[@]}"; do
     echo "== Comparing $cmd =="
-    diff --report-identical-files --suppress-common-lines --side-by-side \
+    diff --suppress-common-lines --side-by-side \
         <(docker run --rm "$BASE_IMAGE_TAG" $cmd) \
-        <(docker run --rm "$TARGET_IMAGE_TAG" $cmd)
+        <(docker run --rm "$TARGET_IMAGE_TAG" $cmd) \
+        && echo "No diff" || true
 done

From fd1f373c161a6335a3d37bbe41abdc2a2dd9ea50 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 7 Dec 2018 03:10:45 +0000
Subject: [PATCH 0475/1660] fix jenkinsfile to properly diff gpu

---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 1a7f383e..b37db044 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -112,7 +112,7 @@ pipeline {
           steps {
             slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} diff GPU image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
             sh '''#!/bin/bash
-            ./diff
+            ./diff --gpu
           '''
           }
         }

From 7863e78cdf91296953f7fdfb6c4e8af5b42556ef Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 7 Dec 2018 10:09:20 -0800
Subject: [PATCH 0476/1660] Use single quote whenever possible

---
 build                | 12 ++++++------
 diff                 | 10 +++++-----
 push                 |  8 ++++----
 tensorflow-whl/build |  6 +++---
 tensorflow-whl/push  |  6 +++---
 test                 |  8 ++++----
 6 files changed, 25 insertions(+), 25 deletions(-)

diff --git a/build b/build
index 0b8c662b..f2a7af45 100755
--- a/build
+++ b/build
@@ -12,9 +12,9 @@ Options:
 EOF
 }
 
-CACHE_FLAG="--no-cache"
-DOCKERFILE="Dockerfile"
-IMAGE_TAG="kaggle/python-build"
+CACHE_FLAG='--no-cache'
+DOCKERFILE='Dockerfile'
+IMAGE_TAG='kaggle/python-build'
 
 while :; do
     case "$1" in 
@@ -23,11 +23,11 @@ while :; do
             exit
             ;;
         -g|--gpu)
-            IMAGE_TAG="kaggle/python-gpu-build"
-            DOCKERFILE="gpu.Dockerfile"
+            IMAGE_TAG='kaggle/python-gpu-build'
+            DOCKERFILE='gpu.Dockerfile'
             ;;
         -c|--use-cache)
-            CACHE_FLAG=""
+            CACHE_FLAG=''
             ;;
         -?*)
             usage
diff --git a/diff b/diff
index ecbfd261..6e1be902 100755
--- a/diff
+++ b/diff
@@ -12,8 +12,8 @@ EOF
 }
 
 
-BASE_IMAGE_TAG="gcr.io/kaggle-images/python:latest"
-TARGET_IMAGE_TAG="kaggle/python-build"
+BASE_IMAGE_TAG='gcr.io/kaggle-images/python:latest'
+TARGET_IMAGE_TAG='kaggle/python-build'
 
 while :; do
     case "$1" in 
@@ -22,8 +22,8 @@ while :; do
             exit
             ;;
         -g|--gpu)
-            BASE_IMAGE_TAG="gcr.io/kaggle-private-byod/python:latest"
-            TARGET_IMAGE_TAG="kaggle/python-gpu-build"
+            BASE_IMAGE_TAG='gcr.io/kaggle-private-byod/python:latest'
+            TARGET_IMAGE_TAG='kaggle/python-gpu-build'
             ;;
         -?*)
             usage
@@ -51,5 +51,5 @@ for cmd in "${CMDS[@]}"; do
     diff --suppress-common-lines --side-by-side \
         <(docker run --rm "$BASE_IMAGE_TAG" $cmd) \
         <(docker run --rm "$TARGET_IMAGE_TAG" $cmd) \
-        && echo "No diff" || true
+        && echo 'No diff' || true
 done
diff --git a/push b/push
index 79ad8f13..c3ebcaf4 100755
--- a/push
+++ b/push
@@ -11,8 +11,8 @@ Options:
 EOF
 }
 
-SOURCE_IMAGE="kaggle/python-build"
-TARGET_IMAGE="gcr.io/kaggle-images/python"
+SOURCE_IMAGE='kaggle/python-build'
+TARGET_IMAGE='gcr.io/kaggle-images/python'
 
 while :; do
     case "$1" in 
@@ -21,8 +21,8 @@ while :; do
             exit
             ;;
         -g|--gpu)
-            SOURCE_IMAGE="kaggle/python-gpu-build"
-            TARGET_IMAGE="gcr.io/kaggle-private-byod/python"
+            SOURCE_IMAGE='kaggle/python-gpu-build'
+            TARGET_IMAGE='gcr.io/kaggle-private-byod/python'
             ;;
         -?*)
             usage
diff --git a/tensorflow-whl/build b/tensorflow-whl/build
index 4aa06d25..c97c9022 100755
--- a/tensorflow-whl/build
+++ b/tensorflow-whl/build
@@ -11,8 +11,8 @@ Options:
 EOF
 }
 
-CACHE_FLAG="--no-cache"
-IMAGE_TAG="kaggle/python-tensorflow-whl"
+CACHE_FLAG='--no-cache'
+IMAGE_TAG='kaggle/python-tensorflow-whl'
 
 while :; do
     case "$1" in 
@@ -21,7 +21,7 @@ while :; do
             exit
             ;;
         -c|--use-cache)
-            CACHE_FLAG=""
+            CACHE_FLAG=''
             ;;
         -?*)
             usage
diff --git a/tensorflow-whl/push b/tensorflow-whl/push
index dfb64ec8..ee50baa2 100755
--- a/tensorflow-whl/push
+++ b/tensorflow-whl/push
@@ -11,8 +11,8 @@ EOF
 
 set -x
 
-SOURCE_IMAGE="kaggle/python-tensorflow-whl"
-TARGET_IMAGE="gcr.io/kaggle-images/python-tensorflow-whl"
+SOURCE_IMAGE='kaggle/python-tensorflow-whl'
+TARGET_IMAGE='gcr.io/kaggle-images/python-tensorflow-whl'
 
 while :; do
     case "$1" in 
@@ -35,7 +35,7 @@ done
 LABEL=$1
 
 if [[ -z "$LABEL" ]]; then
-    echo "You must provide a label for the image"
+    echo 'You must provide a label for the image'
     exit 1
 fi
 
diff --git a/test b/test
index 42bc2c11..133cecfe 100755
--- a/test
+++ b/test
@@ -12,8 +12,8 @@ Options:
 EOF
 }
 
-IMAGE_TAG="kaggle/python-build"
-ADDITONAL_OPTS=""
+IMAGE_TAG='kaggle/python-build'
+ADDITONAL_OPTS=''
 
 while :; do
     case "$1" in 
@@ -22,8 +22,8 @@ while :; do
             exit
             ;;
         -g|--gpu)
-            IMAGE_TAG="kaggle/python-gpu-build"
-            ADDITONAL_OPTS="-v /tmp/empty_dir:/usr/local/cuda/lib64/stubs:ro"
+            IMAGE_TAG='kaggle/python-gpu-build'
+            ADDITONAL_OPTS='-v /tmp/empty_dir:/usr/local/cuda/lib64/stubs:ro'
             ;;
         -?*)
             usage

From ea63ad921d6ddb333ba5d07032d7f38b7ec66006 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 7 Dec 2018 23:56:50 +0000
Subject: [PATCH 0477/1660] install fastai 1.0

---
 Dockerfile | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 21b8d1f3..36096c73 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -431,9 +431,7 @@ RUN pip install bcolz && \
     # https://github.com/pandas-dev/pandas/issues/23053
     pip install pyarrow==0.10.0 && \
     pip install feather-format && \
-    # Don't install dependencies for fastai because it requires pytorch<0.4.
-    # which downgrades pytorch. fastai does work with pytorch 0.4.
-    pip install fastai==0.7.0 --no-deps && \
+    pip install fastai && \
     pip install torchtext && \
     /tmp/clean-layer.sh
 

From e1049f37378c9c4fdf1c5a0257a6a7eec5db412a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 10 Dec 2018 22:41:53 +0000
Subject: [PATCH 0478/1660] update fastai tests to use 1.0 api

---
 tests/data/train.csv | 81 ++++++++++++++++++++++++++++++++++++++++++++
 tests/test_fastai.py | 57 +++++++++++++++----------------
 tests/test_h2o.py    |  2 +-
 tests/test_pandas.py |  2 +-
 4 files changed, 111 insertions(+), 31 deletions(-)

diff --git a/tests/data/train.csv b/tests/data/train.csv
index 229dbc7c..48b9e573 100644
--- a/tests/data/train.csv
+++ b/tests/data/train.csv
@@ -18,3 +18,84 @@ label,pixel0,pixel1,pixel2,pixel3,pixel4,pixel5,pixel6,pixel7,pixel8,pixel9,pixe
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+5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,31,173,234,152,152,233,254,253,254,253,254,253,82,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,152,252,253,252,253,252,253,252,253,252,253,252,243,40,0,0,0,0,0,0,0,0,0,0,0,0,0,0,173,253,254,253,254,253,254,253,254,253,255,253,244,40,0,0,0,0,0,0,0,0,0,0,0,0,0,163,253,252,253,252,253,252,253,252,233,151,172,252,122,0,0,0,0,0,0,0,0,0,0,0,0,0,113,253,254,253,254,213,82,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,152,252,253,252,213,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,132,253,254,253,214,10,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10,212,253,252,253,212,82,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,183,254,253,254,253,254,253,152,112,41,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,20,172,252,253,252,253,252,253,252,243,162,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,41,163,243,254,253,254,253,254,253,254,71,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,40,151,192,253,252,253,252,253,232,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,62,162,254,253,254,253,102,0,0,0,0,0,0,0,0,0,123,203,82,0,0,0,0,0,0,0,0,0,0,20,253,252,253,252,102,0,0,0,0,0,0,0,0,0,152,253,254,131,0,0,0,0,0,0,0,0,11,132,254,253,254,253,82,0,0,0,0,0,0,0,0,0,152,252,253,252,142,20,0,0,0,0,62,102,213,252,253,252,253,212,0,0,0,0,0,0,0,0,0,0,82,243,255,253,255,253,153,152,153,193,254,253,254,253,254,253,142,20,0,0,0,0,0,0,0,0,0,0,0,81,213,252,253,252,253,252,253,252,253,252,253,252,233,111,0,0,0,0,0,0,0,0,0,0,0,0,0,0,41,223,255,253,254,253,254,253,254,253,203,81,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,20,213,252,253,252,253,212,91,50,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
diff --git a/tests/test_fastai.py b/tests/test_fastai.py
index 94223fe3..0f9d1202 100644
--- a/tests/test_fastai.py
+++ b/tests/test_fastai.py
@@ -4,8 +4,9 @@
 import pandas as pd
 import torch
 
+from fastai.tabular import *
 from fastai.core import partition
-from fastai.layer_optimizer import LayerOptimizer
+from fastai.torch_core import tensor
 
 class TestFastAI(unittest.TestCase):
     def test_partition(self):
@@ -13,31 +14,29 @@ def test_partition(self):
 
         self.assertEqual(3, len(result))
 
-    # based on https://github.com/fastai/fastai/blob/0.7.0/tests/test_layer_optimizer.py
-    def test_layer_optimizer(self):
-        lo = LayerOptimizer(FakeOpt, fastai_params_('A', 'B', 'C'), 1e-2, 1e-4)
-        fast_check_optimizer_(lo.opt, [(nm, 1e-2, 1e-4) for nm in 'ABC'])
-
-
-class Par(object):
-    def __init__(self, x, grad=True):
-        self.x = x
-        self.requires_grad = grad
-    def parameters(self): return [self]
-
-
-class FakeOpt(object):
-    def __init__(self, params): self.param_groups = params
-
-
-def fastai_params_(*names): return [Par(nm) for nm in names]
-
-def fast_check_optimizer_(opt, expected):
-    actual = opt.param_groups
-    assert len(actual) == len(expected)
-    for (a, e) in zip(actual, expected): fastai_check_param_(a, *e)
-
-def fastai_check_param_(par, nm, lr, wd):
-    assert par['params'][0].x == nm
-    assert par['lr'] == lr
-    assert par['weight_decay'] == wd
+    def test_has_version(self):
+        self.assertGreater(len(fastai.__version__), 1)
+    
+    # based on https://github.com/fastai/fastai/blob/master/tests/test_torch_core.py#L17
+    def test_torch_tensor(self):
+        a = tensor([1, 2, 3])
+        b = torch.tensor([1, 2, 3])
+
+        self.assertTrue(torch.all(a == b))
+
+    def test_tabular(self):
+        df = pd.read_csv("/input/tests/data/train.csv")
+        procs = [FillMissing, Categorify, Normalize]
+
+        valid_idx = range(len(df)-5, len(df))
+        dep_var = "label"
+        cont_names = []
+        for i in range(784):
+            cont_names.append("pixel" + str(i))
+
+        data = (TabularList.from_df(df, path="", cont_names=cont_names, cat_names=[], procs=procs)
+            .split_by_idx(valid_idx)
+            .label_from_df(cols=dep_var)
+            .databunch())
+        learn = tabular_learner(data, layers=[200, 100])
+        learn.fit(epochs=1)
diff --git a/tests/test_h2o.py b/tests/test_h2o.py
index 94fc57b8..52ff7950 100644
--- a/tests/test_h2o.py
+++ b/tests/test_h2o.py
@@ -9,4 +9,4 @@ def tearDown(self):
     def test_init_read(self):
         h2o.init()
         train = h2o.import_file("/input/tests/data/train.csv", destination_frame="train")
-        self.assertEqual(19, train.nrow)
+        self.assertEqual(100, train.nrow)
diff --git a/tests/test_pandas.py b/tests/test_pandas.py
index f533a043..b02d0509 100644
--- a/tests/test_pandas.py
+++ b/tests/test_pandas.py
@@ -6,7 +6,7 @@ class TestPandas(unittest.TestCase):
     def test_read_csv(self):
         data = pd.read_csv("/input/tests/data/train.csv")
 
-        self.assertEqual(19, len(data.index))
+        self.assertEqual(100, len(data.index))
 
     def test_read_feather(self):
         data = pd.read_feather("/input/tests/data/feather-0_3_1.feather")

From 35d4df01d6c80aafa2f13e078a0aad1440ce89c1 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 14 Dec 2018 15:45:28 -0800
Subject: [PATCH 0479/1660] Pin dipy to 0.14.0

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 36096c73..7fae3ee1 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -309,7 +309,8 @@ RUN pip install fancyimpute && \
     pip install paramnb && \
     pip install folium && \
     pip install scikit-plot && \
-    pip install dipy && \
+    # 0.15.0 is still unstable.
+    pip install dipy==0.14.0 && \
     # plotnine 0.5 is depending on matplotlib >= 3.0 which is not compatible with basemap.
     # once basemap support matplotlib, we can unpin this package.
     pip install plotnine==0.4.0 && \

From ac9f0c18f1bd314511263ebebd2d428632c056b5 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 14 Dec 2018 15:46:57 -0800
Subject: [PATCH 0480/1660] Reduce wget verbosiness

---
 Dockerfile | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 7fae3ee1..4bec6afa 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -44,7 +44,7 @@ RUN pip install --upgrade seaborn python-dateutil dask && \
     libpaper-utils libpaper1 libpixman-1-0 libpng16-16 librsvg2-2 librsvg2-common libthai-data libthai0 libtiff5 libwmf0.2-7 \
     libxcb-render0 libxcb-shm0 netpbm poppler-data p7zip-full && \
     cd /usr/local/src && \
-    wget https://imagemagick.org/download/ImageMagick.tar.gz && \
+    wget --no-verbose https://imagemagick.org/download/ImageMagick.tar.gz && \
     tar xzf ImageMagick.tar.gz && cd `ls -d ImageMagick-*` && pwd && ls -al && ./configure && \
     make -j $(nproc) && make install && \
     /tmp/clean-layer.sh
@@ -148,8 +148,8 @@ RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
     # requires java
     apt-get install -y default-jdk && \
     cd /usr/local/src && mkdir h2o && cd h2o && \
-    wget http://h2o-release.s3.amazonaws.com/h2o/latest_stable -O latest && \
-    wget --no-check-certificate -i latest -O h2o.zip && rm latest && \
+    wget --no-verbose http://h2o-release.s3.amazonaws.com/h2o/latest_stable -O latest && \
+    wget --no-verbose --no-check-certificate -i latest -O h2o.zip && rm latest && \
     unzip h2o.zip && rm h2o.zip && cp h2o-*/h2o.jar . && \
     pip install `find . -name "*whl"` && \
     # Keras setup

From 4ac55e3f3aca979a64a76176764f42871113d16f Mon Sep 17 00:00:00 2001
From: Ben Price <price.benjamindaniel@gmail.com>
Date: Sun, 16 Dec 2018 23:29:44 -0800
Subject: [PATCH 0481/1660] Explicitly install bazel version 0.15.0

- Until [this][1] issue is resolved, [@drigz suggestion][2] works for now.

[1]: https://github.com/bazelbuild/continuous-integration/issues/128
[2]: https://github.com/bazelbuild/continuous-integration/issues/128#issuecomment-356224187
---
 tensorflow-whl/Dockerfile | 11 +++++++----
 1 file changed, 7 insertions(+), 4 deletions(-)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 5b7b421b..bcafa4fd 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -47,6 +47,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     rm -rf /var/lib/apt/lists/*
 
 # Install bazel
+ENV BAZEL_VERSION=0.15.0
 RUN apt-get update && apt-get install -y python-software-properties zip && \
     echo "deb http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list && \
     echo "deb-src http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list && \
@@ -55,10 +56,12 @@ RUN apt-get update && apt-get install -y python-software-properties zip && \
     echo debconf shared/accepted-oracle-license-v1-1 select true | debconf-set-selections && \
     echo debconf shared/accepted-oracle-license-v1-1 seen true | debconf-set-selections && \
     apt-get install -y oracle-java8-installer && \
-    echo "deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8" | tee /etc/apt/sources.list.d/bazel.list && \
-    curl https://bazel.build/bazel-release.pub.gpg | apt-key add - && \
-    apt-get update && apt-get install -y bazel && \
-    apt-get upgrade -y bazel
+    apt-get install -y --no-install-recommends \
+      bash-completion \
+      zlib1g-dev && \
+    curl -LO "https://github.com/bazelbuild/bazel/releases/download/${BAZEL_VERSION}/bazel_${BAZEL_VERSION}-linux-x86_64.deb" && \
+    dpkg -i bazel_*.deb && \
+    rm bazel_*.deb
 
 # Tensorflow doesn't support python 3.7 yet. See https://github.com/tensorflow/tensorflow/issues/20517
 RUN conda install -y python=3.6.6 && \

From 213051a27c45537385f6163aa5f3168d86f87927 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 17 Dec 2018 09:38:37 -0800
Subject: [PATCH 0482/1660] Add comments about Bazel version pinning.

---
 tensorflow-whl/Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index bcafa4fd..8b148af4 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -47,6 +47,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     rm -rf /var/lib/apt/lists/*
 
 # Install bazel
+# Tensorflow 1.11 requires the Bazel 0.15: https://www.tensorflow.org/install/source
 ENV BAZEL_VERSION=0.15.0
 RUN apt-get update && apt-get install -y python-software-properties zip && \
     echo "deb http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list && \
@@ -59,6 +60,7 @@ RUN apt-get update && apt-get install -y python-software-properties zip && \
     apt-get install -y --no-install-recommends \
       bash-completion \
       zlib1g-dev && \
+    # Install Bazel with apt-get once this issue is resolved: https://github.com/bazelbuild/continuous-integration/issues/128
     curl -LO "https://github.com/bazelbuild/bazel/releases/download/${BAZEL_VERSION}/bazel_${BAZEL_VERSION}-linux-x86_64.deb" && \
     dpkg -i bazel_*.deb && \
     rm bazel_*.deb

From 78053bec2a378d3e5ef8233ab6bb05a2c7fec0ac Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Sat, 15 Dec 2018 00:12:53 +0000
Subject: [PATCH 0483/1660] Build tensorflow wheels with Jenkins

---
 tensorflow-whl/Jenkinsfile | 36 ++++++++++++++++++++++++++++++++++++
 1 file changed, 36 insertions(+)
 create mode 100644 tensorflow-whl/Jenkinsfile

diff --git a/tensorflow-whl/Jenkinsfile b/tensorflow-whl/Jenkinsfile
new file mode 100644
index 00000000..92dfcada
--- /dev/null
+++ b/tensorflow-whl/Jenkinsfile
@@ -0,0 +1,36 @@
+pipeline {
+    agent { label 'ephemeral-linux-gpu' }
+    options {
+        // The Build GPU stage depends on the image from the Push CPU stage
+        disableConcurrentBuilds()
+    }
+    environment {
+        GIT_COMMIT_SHORT = sh(returnStdout: true, script:"git rev-parse --short=7 HEAD").trim()
+        GIT_COMMIT_SUBJECT = sh(returnStdout: true, script:"git log --format=%s -n 1 HEAD").trim()
+        GIT_COMMIT_AUTHOR = sh(returnStdout: true, script:"git log --format='%an' -n 1 HEAD").trim()
+        GIT_COMMIT_SUMMARY = "`<https://github.com/Kaggle/docker-python/commit/${GIT_COMMIT}|${GIT_COMMIT_SHORT}>` ${GIT_COMMIT_SUBJECT} - ${GIT_COMMIT_AUTHOR}"
+    }
+
+    stages {
+        stage('Build') {
+            steps {
+                sh '''#!/bin/bash
+                set -exo pipefail
+                
+                cd tensorflow-whl/
+                ./build | ts
+                '''
+            }
+        }
+        stage('Push') {
+            steps {
+                sh '''#!/bin/bash
+                set -exo pipefail
+
+                cd tensorflow-whl/
+                ./push staging
+                '''
+            }
+        }
+    }
+}

From df12b19b0a6d21de0c15d13632c505cfc0430819 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Sat, 15 Dec 2018 00:47:14 +0000
Subject: [PATCH 0484/1660] Upgrade to cuda 9.2 and tf 0.12.0

---
 tensorflow-whl/Dockerfile | 28 ++++++++++++++--------------
 1 file changed, 14 insertions(+), 14 deletions(-)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 8b148af4..1cd1acdf 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -1,5 +1,5 @@
-FROM nvidia/cuda:9.1-cudnn7-devel-ubuntu16.04 AS nvidia
-FROM continuumio/anaconda3:5.0.1
+FROM nvidia/cuda:9.2-cudnn7-devel-ubuntu16.04 AS nvidia
+FROM continuumio/anaconda3:5.2.0
 
 # Avoid interactive configuration prompts/dialogs during apt-get.
 ENV DEBIAN_FRONTEND=noninteractive
@@ -15,8 +15,8 @@ COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
 
 # Ensure the cuda libraries are compatible with the GPU image.
 # TODO(b/120050292): Use templating to keep in sync.
-ENV CUDA_VERSION=9.1.85
-ENV CUDA_PKG_VERSION=9-1=$CUDA_VERSION-1
+ENV CUDA_VERSION=9.2.148
+ENV CUDA_PKG_VERSION=9-2=$CUDA_VERSION-1
 LABEL com.nvidia.volumes.needed="nvidia_driver"
 LABEL com.nvidia.cuda.version="${CUDA_VERSION}"
 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
@@ -38,21 +38,21 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
       cuda-nvml-dev-$CUDA_PKG_VERSION \
       cuda-minimal-build-$CUDA_PKG_VERSION \
       cuda-command-line-tools-$CUDA_PKG_VERSION \
-      libcudnn7=7.2.1.38-1+cuda9.0 \
-      libcudnn7-dev=7.2.1.38-1+cuda9.0 \
-      libnccl2=2.2.12-1+cuda9.1 \
-      libnccl-dev=2.2.12-1+cuda9.1 && \
-    ln -s /usr/local/cuda-9.1 /usr/local/cuda && \
+      libcudnn7=7.4.1.5-1+cuda9.2 \
+      libcudnn7-dev=7.4.1.5-1+cuda9.2 \
+      libnccl2=2.3.7-1+cuda9.2 \
+      libnccl-dev=2.3.7-1+cuda9.2 && \
+    ln -s /usr/local/cuda-9.2 /usr/local/cuda && \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 && \
     rm -rf /var/lib/apt/lists/*
 
 # Install bazel
 # Tensorflow 1.11 requires the Bazel 0.15: https://www.tensorflow.org/install/source
 ENV BAZEL_VERSION=0.15.0
-RUN apt-get update && apt-get install -y python-software-properties zip && \
+RUN apt-get update && apt-get install -y gnupg zip && \
     echo "deb http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list && \
     echo "deb-src http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list && \
-    apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys EEA14886 C857C906 2B90D010 && \
+    apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys --no-tty EEA14886 C857C906 2B90D010 && \
     apt-get update && \
     echo debconf shared/accepted-oracle-license-v1-1 select true | debconf-set-selections && \
     echo debconf shared/accepted-oracle-license-v1-1 seen true | debconf-set-selections && \
@@ -61,7 +61,7 @@ RUN apt-get update && apt-get install -y python-software-properties zip && \
       bash-completion \
       zlib1g-dev && \
     # Install Bazel with apt-get once this issue is resolved: https://github.com/bazelbuild/continuous-integration/issues/128
-    curl -LO "https://github.com/bazelbuild/bazel/releases/download/${BAZEL_VERSION}/bazel_${BAZEL_VERSION}-linux-x86_64.deb" && \
+    wget --no-verbose "https://github.com/bazelbuild/bazel/releases/download/${BAZEL_VERSION}/bazel_${BAZEL_VERSION}-linux-x86_64.deb" && \
     dpkg -i bazel_*.deb && \
     rm bazel_*.deb
 
@@ -75,7 +75,7 @@ RUN conda install -y python=3.6.6 && \
 RUN cd /usr/local/src && \
     git clone https://github.com/tensorflow/tensorflow && \
     cd tensorflow && \
-    git checkout r1.11
+    git checkout r1.12
 
 # Create a tensorflow wheel for CPU
 RUN cd /usr/local/src/tensorflow && \
@@ -86,7 +86,7 @@ RUN cd /usr/local/src/tensorflow && \
 
 # Create a tensorflow wheel for GPU/cuda
 ENV TF_NEED_CUDA=1
-ENV TF_CUDA_VERSION=9.1
+ENV TF_CUDA_VERSION=9.2
 ENV TF_CUDA_COMPUTE_CAPABILITIES=3.7,6.0
 ENV TF_CUDNN_VERSION=7
 ENV TF_NCCL_VERSION=2

From e2d4b7e12f4c2374dcb43fe42500f679e4cf4e05 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 17 Dec 2018 17:39:34 +0000
Subject: [PATCH 0485/1660] Add CHANGELOG entry

---
 tensorflow-whl/CHANGELOG.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index 52ab3b13..4f17cc0a 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -1 +1,2 @@
 1.11.0-py36: Tensorflow 1.11.0 wheels built with python 3.6
+1.12.0-py36: Upgraded to 1.12 and cuda 9.2

From d9181d4d1037d4cebd382c1581da90f37a1a4c32 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 17 Dec 2018 20:21:29 +0000
Subject: [PATCH 0486/1660] Update NVIDIA_REQUIRE_CUDA

---
 gpu.Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 41ec73b3..38694569 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -24,7 +24,7 @@ ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
 ENV LD_LIBRARY_PATH="/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs"
 ENV NVIDIA_VISIBLE_DEVICES=all
 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
-ENV NVIDIA_REQUIRE_CUDA="cuda>=9.0"
+ENV NVIDIA_REQUIRE_CUDA="cuda>=9.2"
 RUN apt-get update && apt-get install -y --no-install-recommends \
       cuda-cupti-$CUDA_PKG_VERSION \
       cuda-cudart-$CUDA_PKG_VERSION \

From 901f759dd5780a7edd055f7289893c873e7aa61f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 17 Dec 2018 23:24:07 +0000
Subject: [PATCH 0487/1660] Standardized changelog entry

---
 tensorflow-whl/CHANGELOG.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index 4f17cc0a..2a5146eb 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -1,2 +1,2 @@
 1.11.0-py36: Tensorflow 1.11.0 wheels built with python 3.6
-1.12.0-py36: Upgraded to 1.12 and cuda 9.2
+1.12.0-py36: Tensorflow 1.12.0 wheels with Cuda 9.2

From 16ff81af2c3de09dfef25c79893506620b223734 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 17 Dec 2018 23:45:48 +0000
Subject: [PATCH 0488/1660] Allow running test suites against arbitrary images

---
 test | 17 ++++++++++++++++-
 1 file changed, 16 insertions(+), 1 deletion(-)

diff --git a/test b/test
index 133cecfe..20fd5243 100755
--- a/test
+++ b/test
@@ -8,7 +8,9 @@ Run tests for a newly-built Python Docker image.
 By default, it runs the tests for the CPU image.
 
 Options:
-    -g, --gpu   Run tests for the GPU image.
+    -g, --gpu         Run tests for the GPU image.
+    -i, --image IMAGE Run tests against the specified image
+
 EOF
 }
 
@@ -25,6 +27,15 @@ while :; do
             IMAGE_TAG='kaggle/python-gpu-build'
             ADDITONAL_OPTS='-v /tmp/empty_dir:/usr/local/cuda/lib64/stubs:ro'
             ;;
+        -i|--image)
+            if [[ -z $2 ]]; then
+                usage
+                printf 'ERROR: No IMAGE specified after the %s flag.\n' "$1" >&2
+                exit
+            fi
+            IMAGE_TAG_OVERRIDE=$2
+            shift # skip the flag value
+            ;;
         -?*)
             usage
             printf 'ERROR: Unknown option: %s\n' "$1" >&2
@@ -37,6 +48,10 @@ while :; do
     shift
 done
 
+if [[ -n "$IMAGE_TAG_OVERRIDE" ]]; then
+    IMAGE_TAG="$IMAGE_TAG_OVERRIDE"
+fi
+
 readonly IMAGE_TAG
 readonly ADDITONAL_OPTS
 

From aa64f173ec4516ec80673594424bb6a1cac2447e Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 17 Dec 2018 17:49:30 +0000
Subject: [PATCH 0489/1660] Update to cuda 9.2 & tensorflow 1.12

---
 Dockerfile     |  2 +-
 gpu.Dockerfile | 18 +++++++++---------
 2 files changed, 10 insertions(+), 10 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 4bec6afa..8938bf20 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,4 +1,4 @@
-FROM gcr.io/kaggle-images/python-tensorflow-whl:1.11.0-py36 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:1.12.0-py36 as tensorflow_whl
 FROM continuumio/anaconda3:5.2.0
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 38694569..1244404d 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,5 +1,5 @@
-FROM nvidia/cuda:9.1-cudnn7-devel-ubuntu16.04 AS nvidia
-FROM gcr.io/kaggle-images/python-tensorflow-whl:1.11.0-py36 as tensorflow_whl
+FROM nvidia/cuda:9.2-cudnn7-devel-ubuntu16.04 AS nvidia
+FROM gcr.io/kaggle-images/python-tensorflow-whl:1.12.0-py36 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:staging
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
@@ -11,8 +11,8 @@ COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
 
 # Ensure the cuda libraries are compatible with the custom Tensorflow wheels.
 # TODO(b/120050292): Use templating to keep in sync or COPY installed binaries from it.
-ENV CUDA_VERSION=9.1.85
-ENV CUDA_PKG_VERSION=9-1=$CUDA_VERSION-1
+ENV CUDA_VERSION=9.2.148
+ENV CUDA_PKG_VERSION=9-2=$CUDA_VERSION-1
 LABEL com.nvidia.volumes.needed="nvidia_driver"
 LABEL com.nvidia.cuda.version="${CUDA_VERSION}"
 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
@@ -33,11 +33,11 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
       cuda-nvml-dev-$CUDA_PKG_VERSION \
       cuda-minimal-build-$CUDA_PKG_VERSION \
       cuda-command-line-tools-$CUDA_PKG_VERSION \
-      libcudnn7=7.2.1.38-1+cuda9.0 \
-      libcudnn7-dev=7.2.1.38-1+cuda9.0 \
-      libnccl2=2.2.12-1+cuda9.1 \
-      libnccl-dev=2.2.12-1+cuda9.1 && \
-    ln -s /usr/local/cuda-9.1 /usr/local/cuda && \
+      libcudnn7=7.4.1.5-1+cuda9.2 \
+      libcudnn7-dev=7.4.1.5-1+cuda9.2 \
+      libnccl2=2.3.7-1+cuda9.2 \
+      libnccl-dev=2.3.7-1+cuda9.2 && \
+    ln -s /usr/local/cuda-9.2 /usr/local/cuda && \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 && \
     /tmp/clean-layer.sh
 

From 580dec4f179d8f674be64dd10a3bc10d71bede31 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 17 Dec 2018 20:20:28 +0000
Subject: [PATCH 0490/1660] add cudart-dev package

---
 gpu.Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 1244404d..945275c6 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -28,6 +28,7 @@ ENV NVIDIA_REQUIRE_CUDA="cuda>=9.2"
 RUN apt-get update && apt-get install -y --no-install-recommends \
       cuda-cupti-$CUDA_PKG_VERSION \
       cuda-cudart-$CUDA_PKG_VERSION \
+      cuda-cudart-dev-$CUDA_PKG_VERSION \
       cuda-libraries-$CUDA_PKG_VERSION \
       cuda-libraries-dev-$CUDA_PKG_VERSION \
       cuda-nvml-dev-$CUDA_PKG_VERSION \

From f5280614e127892d0d05f01d6bc3bac220671f3e Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Wed, 19 Dec 2018 12:26:24 -0800
Subject: [PATCH 0491/1660] Add gitignore with pyc extension

---
 .gitignore | 1 +
 1 file changed, 1 insertion(+)
 create mode 100644 .gitignore

diff --git a/.gitignore b/.gitignore
new file mode 100644
index 00000000..7e99e367
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1 @@
+*.pyc
\ No newline at end of file

From e301c2a084219b29511ab47a20883b90459a3217 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 19 Dec 2018 22:21:16 +0000
Subject: [PATCH 0492/1660] Push image to gcr.io even if tests fail

---
 Jenkinsfile | 25 +++++++++++++++++++++++++
 1 file changed, 25 insertions(+)

diff --git a/Jenkinsfile b/Jenkinsfile
index b37db044..924f863e 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -29,6 +29,18 @@ pipeline {
       }
     }
 
+    stage('Push CPU Untested Image') {
+      steps {
+        slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} pushing untested image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
+        sh '''#!/bin/bash
+          set -exo pipefail
+
+          date
+          ./push ci-untested
+        '''
+      }
+    }
+
     stage('Test CPU Image') {
       steps {
         slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} test image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
@@ -71,6 +83,19 @@ pipeline {
       }
     }
 
+    stage('Push GPU Untested Image') {
+      agent { label 'ephemeral-linux-gpu' }
+      steps {
+        slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} pushing untested image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
+        sh '''#!/bin/bash
+          set -exo pipefail
+
+          date
+          ./push --gpu ci-untested
+        '''
+      }
+    }
+
     stage('Test GPU Image') {
       agent { label 'ephemeral-linux-gpu' }
       steps {

From 523749cc9c3aafd39b8953c6a385b183421287e5 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 20 Dec 2018 16:22:09 +0000
Subject: [PATCH 0493/1660] Pin fbprophet to 0.3post2

---
 Dockerfile | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 4bec6afa..d390652c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -289,7 +289,9 @@ RUN pip install fancyimpute && \
     pip install pyexcel-ods && \
     pip install sklearn-pandas && \
     pip install stemming && \
-    pip install fbprophet && \
+    # Latest version of fbprophet fails with incompatibility with PyStan:
+    # pystan:Something went wrong while unpickling the StanModel. Consider recompiling 
+    pip install fbprophet==0.3.post2 && \
     pip install holoviews && \
     pip install geoviews && \
     pip install hypertools && \

From f27e6f1f75e321f9f684e7784eb1393023da308e Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 20 Dec 2018 16:27:36 +0000
Subject: [PATCH 0494/1660] add link to gh issue

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index d390652c..61911ca8 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -289,8 +289,9 @@ RUN pip install fancyimpute && \
     pip install pyexcel-ods && \
     pip install sklearn-pandas && \
     pip install stemming && \
-    # Latest version of fbprophet fails with incompatibility with PyStan:
+    # Latest version of fbprophet fails with incompatibility with PyStan. From the logs:
     # pystan:Something went wrong while unpickling the StanModel. Consider recompiling 
+    # See: https://github.com/facebook/prophet/issues/775
     pip install fbprophet==0.3.post2 && \
     pip install holoviews && \
     pip install geoviews && \

From 4bd7c3822367d336cd5f0d03ea477729c26f976f Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Thu, 20 Dec 2018 17:47:44 -0500
Subject: [PATCH 0495/1660] Adds initial monkeypatching of BigQuery client with
 skeleton support for having a connected gcp account.

---
 patches/sitecustomize.py | 64 ++++++++++++++++++++++++++++++----------
 tests/test_bigquery.py   | 31 +++++++++++--------
 2 files changed, 68 insertions(+), 27 deletions(-)

diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index 7447f9cc..b1e496b4 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -1,22 +1,56 @@
 # TODO(rosbo): Remove this once we fix the issue with fastai importing older libcudnn if imported prior to tensorflow
 import tensorflow
 import os
+from google.auth import credentials
+from google.cloud import bigquery
+from google.cloud.bigquery._http import Connection
 
-# Monkey patches BigQuery client creation to use proxy.
-kaggle_proxy_token = os.getenv("KAGGLE_DATA_PROXY_TOKEN")
-if kaggle_proxy_token:
-    from google.auth import credentials
-    from google.cloud import bigquery
-    from google.cloud.bigquery._http import Connection
+class KaggleKernelCredentials(credentials.Credentials):
+    def refresh(self, request):
+        print("Calling Kaggle.UserSecrets to refresh token.")
+        # Set self.token and self.expiry here.
+        raise NotImplementedError("Private BigQuery integration is not yet implemented.")
 
-    Connection.API_BASE_URL = os.getenv("KAGGLE_DATA_PROXY_URL")
-    Connection._EXTRA_HEADERS["X-KAGGLE-PROXY-DATA"] = kaggle_proxy_token
+kaggle_proxy_token = os.getenv("KAGGLE_DATA_PROXY_TOKEN")
+CONNECTION_BASE_URL = Connection.API_BASE_URL
+def monkeypatch_bq(bq_client, *args, **kwargs):
+    data_proxy_project = os.getenv("KAGGLE_DATA_PROXY_PROJECT")
+    bq_user_jwt = os.getenv("KAGGLE_BQ_USER_JWT")
+    specified_project = kwargs.get('project').lower() if 'project' in kwargs else None
+    # Use Data Proxy if user has specified to use the Kaggle project, or if
+    # there are no connected GCP accounts (to maintain backwards compatibility).
+    if bq_user_jwt is None and specified_project and specified_project != 'kaggle':
+        raise Exception("In order to query a private BigQuery project, please connect a GCP account. "
+                        "Otherwise specify 'kaggle' as the project to use Kaggle's public dataset BigQuery integration.")
+    use_data_proxy = specified_project == 'kaggle' or bq_user_jwt is None
+    if use_data_proxy:
+        if data_proxy_project is None or kaggle_proxy_token is None:
+            # We don't have the data proxy info so leave the bq client unmodified.
+            return bq_client(*args, **kwargs)
+        print("Using Kaggle's public dataset BigQuery integration.")
+        Connection.API_BASE_URL = os.getenv("KAGGLE_DATA_PROXY_URL")
+        Connection._EXTRA_HEADERS["X-KAGGLE-PROXY-DATA"] = kaggle_proxy_token
+        anon_credentials = credentials.AnonymousCredentials()
+        anon_credentials.refresh = lambda *args: None
+        kwargs['project'] = data_proxy_project
+        return bq_client(
+            *args,
+            credentials=anon_credentials,
+            **kwargs)
+    else:
+        Connection.API_BASE_URL = CONNECTION_BASE_URL
+        Connection._EXTRA_HEADERS.pop('X-KAGGLE-PROXY-DATA', None)
+        if kwargs.get('credentials') is not None:
+            # The user wants to use their own credentials scheme, don't try to interfere.
+            return bq_client(*args, **kwargs)
+        print("Using connected BigQuery Account.")
+        kwargs['credentials'] = KaggleKernelCredentials()
+        kwargs['project'] = kwargs.get('project')
+        return bq_client(
+            *args,
+            **kwargs)
 
-    bq_client = bigquery.Client
-    bigquery.Client = lambda *args, **kwargs: bq_client(
-        *args,
-        credentials=credentials.AnonymousCredentials(),
-        project=os.getenv("KAGGLE_DATA_PROXY_PROJECT"),
-        **kwargs)
+# Monkey patches BigQuery client creation to use proxy or user.
+bq_client = bigquery.Client
+bigquery.Client = lambda *args, **kwargs:  monkeypatch_bq(bq_client, *args, **kwargs)
 
-    credentials.AnonymousCredentials.refresh = lambda *args: None
diff --git a/tests/test_bigquery.py b/tests/test_bigquery.py
index cbee03ae..3f607fa0 100644
--- a/tests/test_bigquery.py
+++ b/tests/test_bigquery.py
@@ -11,19 +11,26 @@
 URL = "http://%s:%s" % (HOSTNAME, PORT)
 
 class TestBigQuery(unittest.TestCase):
-    def test_proxy(self):
-        httpd = HTTPServer((HOSTNAME, PORT), HTTPHandler)
-        threading.Thread(target=httpd.serve_forever).start()
+    def _test_proxy(self, client):
+        with HTTPServer((HOSTNAME, PORT), HTTPHandler) as httpd:
+            threading.Thread(target=httpd.serve_forever).start()
+
+            try:
+                for ds in client.list_datasets(): pass
+            except:
+                pass
+
+            httpd.shutdown()
+            self.assertTrue(HTTPHandler.called, msg="Fake server did not recieve a request from the BQ client.")
+            self.assertTrue(HTTPHandler.header_found, msg="X-KAGGLE-PROXY-DATA header was missing from the BQ request.")
+    
+    def test_proxy_kaggle_project(self):
+        client = bigquery.Client(project='KAGGLE')
+        self._test_proxy(client)
+
+    def test_proxy_no_project(self):
         client = bigquery.Client()
-
-        try:
-            for ds in client.list_datasets(): pass
-        except:
-            pass
-
-        httpd.shutdown()
-        self.assertTrue(HTTPHandler.called, msg="Fake server did not recieve a request from the BQ client.")
-        self.assertTrue(HTTPHandler.header_found, msg="X-KAGGLE-PROXY-DATA header was missing from the BQ request.")
+        self._test_proxy(client)
 
 class HTTPHandler(BaseHTTPRequestHandler):
     called = False

From 50fe9ebd0aa2161d913142a1ac35aa55370fd67e Mon Sep 17 00:00:00 2001
From: Mark Peng <markpeng73@gmail.com>
Date: Sat, 15 Dec 2018 16:03:03 +0000
Subject: [PATCH 0496/1660] Added cupy-cuda91 and pynvrtc to GPU Dockerfile.

---
 gpu.Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 945275c6..f2f6d316 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -54,4 +54,6 @@ RUN pip uninstall -y tensorflow && \
 
 # Install GPU-only packages
 RUN pip install pycuda && \
+    pip install cupy-cuda91 && \
+    pip install pynvrtc && \
     /tmp/clean-layer.sh

From 02ffc7de9ca5f98b3d15fb0c13e2cfa6eef50ef1 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 21 Dec 2018 15:35:22 +0000
Subject: [PATCH 0497/1660] install cupy for cuda 9.2

---
 gpu.Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index f2f6d316..89f2c0a2 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -54,6 +54,6 @@ RUN pip uninstall -y tensorflow && \
 
 # Install GPU-only packages
 RUN pip install pycuda && \
-    pip install cupy-cuda91 && \
+    pip install cupy-cuda92 && \
     pip install pynvrtc && \
     /tmp/clean-layer.sh

From a16088402f02371b2a7520372f998307e19c45d9 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 21 Dec 2018 12:08:49 -0500
Subject: [PATCH 0498/1660] Overhaul our README file

---
 README.md | 70 ++++++++++++++++++++++++++++---------------------------
 1 file changed, 36 insertions(+), 34 deletions(-)

diff --git a/README.md b/README.md
index 453a4ca8..ed627e01 100644
--- a/README.md
+++ b/README.md
@@ -1,60 +1,62 @@
-**Kaggle Kernels** allow users to run scripts against our competitions and datasets without having to download data or set up their environment. Here's [an example](https://www.kaggle.com/devinanzelmo/d/devinanzelmo/dota-2-matches/setting-up-a-prediction-problem-dota-2):
+[Kaggle Kernels](https://www.kaggle.com/kernels) allow users to run a Python Notebook in the cloud against our competitions and datasets without having to download data or set up their environment.
 
-![example script](http://i.imgur.com/yrWycNA.png)
+This repository includes our Dockerfiles for building the [CPU-only](Dockerfile) and [GPU](gpu.Dockerfile) image that runs Python Kernels on Kaggle. 
 
-This is the Dockerfile (etc.) used for building the image that runs python scripts on Kaggle. [Here's](https://gcr.io/kaggle-images/python) the Docker image on Google Container Registry.
+Our Python Docker images are stored on Google Container Registry at:
+
+* CPU-only: [gcr.io/kaggle-images/python](https://gcr.io/kaggle-images/python)
+* GPU: private for now, we will make it public soon.
+
+Note: The base image for the GPU image is our CPU-only image. The [gpu.Dockerfile](gpu.Dockerfile) adds a few extra layers to install GPU related libraries and packages (cuda, libcudnn, pycuda etc.) and reinstall packages with specific GPU builds (torch, tensorflow and a few mores).
 
 ## Getting started
 
 To get started with this image, read our [guide](http://blog.kaggle.com/2016/02/05/how-to-get-started-with-data-science-in-containers/) to using it yourself, or browse [Kaggle Kernels](https://www.kaggle.com/kernels) for ideas.
 
-## Requesting new features
+## Requesting new packages
 
-**We welcome pull requests** if there are any packages you'd like to add!
+First, evaluate whether installing the package yourself in your own Kernels suits your needs. See [guide](wiki/Missing-Packages).
 
-We can merge your request quickly if you check that it builds correctly. Here's how to do that.
+If you the first step above doesn't work for your use case, [open an issue](https://github.com/Kaggle/docker-python/issues/new) or a [pull request](https://github.com/Kaggle/docker-python/pulls).
 
-Start by running this image on your system:
+## Opening a pull request
 
-```
-me@my-computer:/home$ docker run --rm -it gcr.io/kaggle-images/python
-root@d72b81a003e1:/# 
-```
+1. Update the *Dockerfile*
+  1. For changes specific to the GPU image, update the [gpu.Dockerfile](gpu.Dockerfile).
+  2. Otherwise, update the [Dockerfile](Dockerfile).
+2. Follow the instructions below to build a new image.
+3. Add tests for your new package. See this [example](https://github.com/Kaggle/docker-python/blob/master/tests/test_fastai.py).
+4. Follow the instructions below to test the new image.
+5. Open a PR on this repo and you are all set!
 
-Then follow the package's installation instructions for a Linux system. It could be as simple as installing via Pip:
+## Building a new image
 
-```
-root@d72b81a003e1:/# pip install coolpackage
-Collecting coolpackage
-[...etc...]
+```sh
+./build
 ```
 
-Once that's done, check that you can import it correctly. (Sometimes, if a package is missing a dependency, it throws an error when you try to import it.)
+Flags:
 
-```
-root@d72b81a003e1:/# python
-Python 3.5.2 |Anaconda 4.2.0 (64-bit)| (default, Jul  2 2016, 17:53:06)
-[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux
-Type "help", "copyright", "credits" or "license" for more information.
->>> import coolpackage
->>>
-```
+* `--gpu` to build an image for GPU.
+* `--use-cache` for faster iterative builds.
 
-Once that's working, add the necessary lines to our [Dockerfile](https://github.com/Kaggle/docker-python/blob/master/Dockerfile). (In this case, that would mean adding `pip install coolpackage` to the last section.)
+## Testing a new image
 
-Next run the build:
+A suite of tests can be found under the `/tests` folder. You can run the test using this command:
 
-```
-./build
+```sh
+./test
 ```
 
-Finally run the tests:
+Flags:
 
-```
-./test
-```
+* `--gpu` to test the GPU image.
 
-Then submit your pull request, and you're all set!
+## Tensorflow custom pre-built wheels
 
+We are building Tensorflow from sources mainly for:
 
+* Better performance. When building from sources, we can leverage CPU specific optimizations
+* Tensorflow with GPU support must be built from sources
 
+The [Dockerfile](tensorflow-whl/Dockerfile) and the [instructions](tensorflow-whl/README.md) can be found in the [tensorflow-whl folder/](tensorflow/).

From ac1d799ebc43308ed000b4a4d05836f4d9662808 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 21 Dec 2018 12:19:18 -0500
Subject: [PATCH 0499/1660] Update tensorflow wheels documentation

---
 README.md                | 24 ++++++++++++++----------
 tensorflow-whl/README.md |  8 +++++++-
 2 files changed, 21 insertions(+), 11 deletions(-)

diff --git a/README.md b/README.md
index ed627e01..e189797e 100644
--- a/README.md
+++ b/README.md
@@ -22,12 +22,12 @@ If you the first step above doesn't work for your use case, [open an issue](http
 ## Opening a pull request
 
 1. Update the *Dockerfile*
-  1. For changes specific to the GPU image, update the [gpu.Dockerfile](gpu.Dockerfile).
-  2. Otherwise, update the [Dockerfile](Dockerfile).
-2. Follow the instructions below to build a new image.
-3. Add tests for your new package. See this [example](https://github.com/Kaggle/docker-python/blob/master/tests/test_fastai.py).
-4. Follow the instructions below to test the new image.
-5. Open a PR on this repo and you are all set!
+    1. For changes specific to the GPU image, update the [gpu.Dockerfile](gpu.Dockerfile).
+    1. Otherwise, update the [Dockerfile](Dockerfile).
+1. Follow the instructions below to build a new image.
+1. Add tests for your new package. See this [example](https://github.com/Kaggle/docker-python/blob/master/tests/test_fastai.py).
+1. Follow the instructions below to test the new image.
+1. Open a PR on this repo and you are all set!
 
 ## Building a new image
 
@@ -52,11 +52,15 @@ Flags:
 
 * `--gpu` to test the GPU image.
 
-## Tensorflow custom pre-built wheels
+## Tensorflow custom pre-built wheel
 
-We are building Tensorflow from sources mainly for:
+A Tensorflow custom pre-built wheel is used mainly for:
 
-* Better performance. When building from sources, we can leverage CPU specific optimizations
-* Tensorflow with GPU support must be built from sources
+* Faster build time: Building tensorflow from sources takes ~1h. Keeping this process outside the main build allows faster iterations when working on our Dockerfiles.
+
+Building Tensorflow from sources:
+
+* Increase performance: When building from sources, we can leverage CPU specific optimizations
+* Is required: Tensorflow with GPU support must be built from sources
 
 The [Dockerfile](tensorflow-whl/Dockerfile) and the [instructions](tensorflow-whl/README.md) can be found in the [tensorflow-whl folder/](tensorflow/).
diff --git a/tensorflow-whl/README.md b/tensorflow-whl/README.md
index 509591a2..02c74d14 100644
--- a/tensorflow-whl/README.md
+++ b/tensorflow-whl/README.md
@@ -4,7 +4,7 @@
 ./build
 ```
 
-# Push the new wheels
+# Push the new wheels (Kaggle Engineers only)
 
 1. Add an entry in the [CHANGELOG](CHANGELOG.md) with an appropriate `LABEL`.
 2. Push the new image using the `LABEL` you picked above.
@@ -17,6 +17,12 @@
 
 Update the line below in the [CPU Dockerfile](../Dockerfile) and the [GPU Dockerfile](../gpu.Dockerfile) to use the new `LABEL`.
 
+To use wheels built locally:
+```
+FROM kaggle/python-tensorflow-whl as tensorflow_whl
+```
+
+To use our pre-built wheels:
 ```
 FROM gcr.io/kaggle-images/python-tensorflow-whl:<LABEL> as tensorflow_whl
 ```

From 6273f93bfac6ada7d82054843a7ef3f310845639 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 21 Dec 2018 14:16:13 -0500
Subject: [PATCH 0500/1660] Add instructions to run the kernels images

---
 README.md | 20 ++++++++++++++++++++
 1 file changed, 20 insertions(+)

diff --git a/README.md b/README.md
index e189797e..4c164535 100644
--- a/README.md
+++ b/README.md
@@ -52,6 +52,26 @@ Flags:
 
 * `--gpu` to test the GPU image.
 
+## Running the image
+
+For the CPU-only image:
+
+```sh
+# Run the image built locally:
+docker run --rm -it kaggle/python-build /bin/bash
+# Run the pre-built image from gcr.io
+docker run --rm -it gcr.io/kaggle-images/python /bin/bash
+```
+
+For the GPU image:
+
+```sh
+# Run the image built locally:
+docker run --runtime nvidia --rm -it kaggle/python-gpu-build /bin/bash
+# Run the image pre-built image from gcr.io
+# TODO: Our GPU images are not yet publicly available.
+```
+
 ## Tensorflow custom pre-built wheel
 
 A Tensorflow custom pre-built wheel is used mainly for:

From 114f59a4d997f46fdfc1aa7ccd53528fd36ce1d4 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 21 Dec 2018 14:18:45 -0500
Subject: [PATCH 0501/1660] Add link to diagnostics instructions when running
 our GPU image

---
 README.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/README.md b/README.md
index 4c164535..812fa2c5 100644
--- a/README.md
+++ b/README.md
@@ -72,6 +72,8 @@ docker run --runtime nvidia --rm -it kaggle/python-gpu-build /bin/bash
 # TODO: Our GPU images are not yet publicly available.
 ```
 
+To ensure your container can access the GPU, follow the instructions posted [here](https://github.com/Kaggle/docker-python/issues/361#issuecomment-448093930).
+
 ## Tensorflow custom pre-built wheel
 
 A Tensorflow custom pre-built wheel is used mainly for:

From a1c5b9c1afcfe497f143827ed95a58d1fa30ac74 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 21 Dec 2018 14:39:57 -0500
Subject: [PATCH 0502/1660] Cron trigger Jenkins pipeline less frequently

Only on Monday and Wednesday. We don't get much value from more.
---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 924f863e..27dfd33e 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -1,4 +1,4 @@
-String cron_string = BRANCH_NAME == "master" ? "H 12 * * 1-5" : ""
+String cron_string = BRANCH_NAME == "master" ? "H 12 * * 1,3" : ""
 
 pipeline {
   agent { label 'ephemeral-linux' }

From 002b910737687397638822215eecc6b230b9ec0b Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <roseberryv@gmail.com>
Date: Fri, 21 Dec 2018 14:51:09 -0500
Subject: [PATCH 0503/1660] Apply suggestions from code review

Co-Authored-By: vimota <vimota@gmail.com>
---
 tests/test_bigquery.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/test_bigquery.py b/tests/test_bigquery.py
index 3f607fa0..65234beb 100644
--- a/tests/test_bigquery.py
+++ b/tests/test_bigquery.py
@@ -21,7 +21,7 @@ def _test_proxy(self, client):
                 pass
 
             httpd.shutdown()
-            self.assertTrue(HTTPHandler.called, msg="Fake server did not recieve a request from the BQ client.")
+            self.assertTrue(HTTPHandler.called, msg="Fake server did not receive a request from the BQ client.")
             self.assertTrue(HTTPHandler.header_found, msg="X-KAGGLE-PROXY-DATA header was missing from the BQ request.")
     
     def test_proxy_kaggle_project(self):

From 469992b499d0c2e948ce4d22951d2e278148232a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 21 Dec 2018 20:48:44 +0000
Subject: [PATCH 0504/1660] remove tensorflow preloading

---
 patches/sitecustomize.py | 2 --
 1 file changed, 2 deletions(-)

diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index 7447f9cc..9221ba59 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -1,5 +1,3 @@
-# TODO(rosbo): Remove this once we fix the issue with fastai importing older libcudnn if imported prior to tensorflow
-import tensorflow
 import os
 
 # Monkey patches BigQuery client creation to use proxy.

From 90547dc2ad9de8b4731582272db7d5ab38596ff2 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 21 Dec 2018 21:02:13 +0000
Subject: [PATCH 0505/1660] add option to run specific tests

---
 test | 25 +++++++++++++++++++------
 1 file changed, 19 insertions(+), 6 deletions(-)

diff --git a/test b/test
index 20fd5243..7ba91f39 100755
--- a/test
+++ b/test
@@ -1,6 +1,11 @@
 #!/bin/bash
 set -e
 
+IMAGE_TAG='kaggle/python-build'
+IMAGE_TAG_OVERRIDE=''
+ADDITONAL_OPTS=''
+PATTERN='test*.py'
+
 usage() {
 cat << EOF
 Usage: $0 [OPTIONS]
@@ -8,15 +13,13 @@ Run tests for a newly-built Python Docker image.
 By default, it runs the tests for the CPU image.
 
 Options:
-    -g, --gpu         Run tests for the GPU image.
-    -i, --image IMAGE Run tests against the specified image
+    -g, --gpu             Run tests for the GPU image.
+    -i, --image IMAGE     Run tests against the specified image
+    -p, --pattern PATTERN Pattern to match test files ($PATTERN default)
 
 EOF
 }
 
-IMAGE_TAG='kaggle/python-build'
-ADDITONAL_OPTS=''
-
 while :; do
     case "$1" in 
         -h|--help)
@@ -36,6 +39,15 @@ while :; do
             IMAGE_TAG_OVERRIDE=$2
             shift # skip the flag value
             ;;
+        -p|--pattern)
+            if [[ -z $2 ]]; then
+                usage
+                printf 'ERROR: No PATTERN specified after the %s flag.\n' "$1" >&2
+                exit
+            fi
+            PATTERN="$2"
+            shift # skip the flag value
+            ;;
         -?*)
             usage
             printf 'ERROR: Unknown option: %s\n' "$1" >&2
@@ -54,6 +66,7 @@ fi
 
 readonly IMAGE_TAG
 readonly ADDITONAL_OPTS
+readonly PATTERN
 
 set -x
 rm -rf /tmp/python-build
@@ -74,4 +87,4 @@ docker run --rm -t --read-only --net=none \
     -w=/working \
     $ADDITONAL_OPTS \
     "$IMAGE_TAG" \
-    /bin/bash -c 'python -m unittest discover -s /input/tests'
+    /bin/bash -c "python -m unittest discover -s /input/tests -p $PATTERN"

From e193ccc3c77621c729b82b53b8f52ec435027bc3 Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Fri, 21 Dec 2018 18:43:35 -0500
Subject: [PATCH 0506/1660] Make BigQuery tests more robust: use scoped
 environment variables and scoped HTTPRequestHandler so tests don't affect
 each other.

---
 patches/sitecustomize.py |  2 +-
 tests/test_bigquery.py   | 52 ++++++++++++++++++++++++++++------------
 2 files changed, 38 insertions(+), 16 deletions(-)

diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index b1e496b4..7af5f747 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -43,7 +43,7 @@ def monkeypatch_bq(bq_client, *args, **kwargs):
         if kwargs.get('credentials') is not None:
             # The user wants to use their own credentials scheme, don't try to interfere.
             return bq_client(*args, **kwargs)
-        print("Using connected BigQuery Account.")
+        print("Using enabled BigQuery integration.")
         kwargs['credentials'] = KaggleKernelCredentials()
         kwargs['project'] = kwargs.get('project')
         return bq_client(
diff --git a/tests/test_bigquery.py b/tests/test_bigquery.py
index 3f607fa0..e9ddffd1 100644
--- a/tests/test_bigquery.py
+++ b/tests/test_bigquery.py
@@ -1,17 +1,31 @@
 import unittest
 import os
 import threading
+from test.support import EnvironmentVarGuard
 
 from http.server import BaseHTTPRequestHandler, HTTPServer
 
 from google.cloud import bigquery
+from google.auth.exceptions import DefaultCredentialsError
 
 HOSTNAME = "127.0.0.1"
 PORT = 8000
 URL = "http://%s:%s" % (HOSTNAME, PORT)
 
 class TestBigQuery(unittest.TestCase):
-    def _test_proxy(self, client):
+    def _test_proxy(self, client, should_use_proxy):
+        class HTTPHandler(BaseHTTPRequestHandler):
+            called = False
+            header_found = False
+
+            def do_HEAD(s):
+                s.send_response(200)
+
+            def do_GET(s):
+                HTTPHandler.called = True
+                HTTPHandler.header_found = any(k for k in s.headers if k == "X-KAGGLE-PROXY-DATA" and s.headers[k] == "test-key")
+                s.send_response(200)
+
         with HTTPServer((HOSTNAME, PORT), HTTPHandler) as httpd:
             threading.Thread(target=httpd.serve_forever).start()
 
@@ -21,25 +35,33 @@ def _test_proxy(self, client):
                 pass
 
             httpd.shutdown()
-            self.assertTrue(HTTPHandler.called, msg="Fake server did not recieve a request from the BQ client.")
-            self.assertTrue(HTTPHandler.header_found, msg="X-KAGGLE-PROXY-DATA header was missing from the BQ request.")
+            if should_use_proxy:
+                self.assertTrue(HTTPHandler.called, msg="Fake server did not recieve a request from the BQ client.")
+                self.assertTrue(HTTPHandler.header_found, msg="X-KAGGLE-PROXY-DATA header was missing from the BQ request.")
+            else:
+                self.assertFalse(HTTPHandler.called, msg="Fake server was called from the BQ client, but should not have been.")
     
     def test_proxy_kaggle_project(self):
         client = bigquery.Client(project='KAGGLE')
-        self._test_proxy(client)
+        self._test_proxy(client, should_use_proxy=True)
 
     def test_proxy_no_project(self):
         client = bigquery.Client()
-        self._test_proxy(client)
-
-class HTTPHandler(BaseHTTPRequestHandler):
-    called = False
-    header_found = False
+        self._test_proxy(client, should_use_proxy=True)
 
-    def do_HEAD(s):
-        s.send_response(200)
+    def test_project_with_connected_account(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_BQ_USER_JWT', 'foobar')
+        with env:
+            client = bigquery.Client(project='ANOTHER_PROJECT')
+            self._test_proxy(client, should_use_proxy=False)
 
-    def do_GET(s):
-        HTTPHandler.called = True
-        HTTPHandler.header_found = any(k for k in s.headers if k == "X-KAGGLE-PROXY-DATA" and s.headers[k] == "test-key")
-        s.send_response(200)
+    def test_no_project_with_connected_account(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_BQ_USER_JWT', 'foobar')
+        with env:
+            with self.assertRaises(DefaultCredentialsError):
+                # TODO(vimota): Handle this case, either default to Kaggle Proxy or use some default project
+                # by the user or throw a custom exception.
+                client = bigquery.Client()
+                self._test_proxy(client, should_use_proxy=False)

From 0688619383233965f044d4cedcd19c5e500cdf48 Mon Sep 17 00:00:00 2001
From: nlathia <neal.lathia@gmail.com>
Date: Sat, 22 Dec 2018 22:29:18 +0000
Subject: [PATCH 0507/1660] Update readme wiki link

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 812fa2c5..a4533df1 100644
--- a/README.md
+++ b/README.md
@@ -15,7 +15,7 @@ To get started with this image, read our [guide](http://blog.kaggle.com/2016/02/
 
 ## Requesting new packages
 
-First, evaluate whether installing the package yourself in your own Kernels suits your needs. See [guide](wiki/Missing-Packages).
+First, evaluate whether installing the package yourself in your own Kernels suits your needs. See [guide](https://github.com/Kaggle/docker-python/wiki/Missing-Packages).
 
 If you the first step above doesn't work for your use case, [open an issue](https://github.com/Kaggle/docker-python/issues/new) or a [pull request](https://github.com/Kaggle/docker-python/pulls).
 

From 40f1b8c5b2e388bfe201785194967745fd5f5718 Mon Sep 17 00:00:00 2001
From: nlathia <neal.lathia@gmail.com>
Date: Sat, 22 Dec 2018 22:34:28 +0000
Subject: [PATCH 0508/1660] Add pytext-nlp

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index fa585d0a..e3928042 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -473,6 +473,7 @@ RUN pip install flashtext && \
     pip install ggplot && \
     pip install cesium && \
     pip install rgf_python && \
+    pip install pytext-nlp && \
     /tmp/clean-layer.sh
 
 # Pin Vowpal Wabbit v8.6.0 because 8.6.1 does not build or install successfully

From 38b348e273b28230b3bdc217e0f298dd30a999bd Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 2 Jan 2019 08:29:43 -0500
Subject: [PATCH 0509/1660] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 812fa2c5..a4533df1 100644
--- a/README.md
+++ b/README.md
@@ -15,7 +15,7 @@ To get started with this image, read our [guide](http://blog.kaggle.com/2016/02/
 
 ## Requesting new packages
 
-First, evaluate whether installing the package yourself in your own Kernels suits your needs. See [guide](wiki/Missing-Packages).
+First, evaluate whether installing the package yourself in your own Kernels suits your needs. See [guide](https://github.com/Kaggle/docker-python/wiki/Missing-Packages).
 
 If you the first step above doesn't work for your use case, [open an issue](https://github.com/Kaggle/docker-python/issues/new) or a [pull request](https://github.com/Kaggle/docker-python/pulls).
 

From eae8caa64e9fc2ee2d2d6fde1e5632a4f4f8a13c Mon Sep 17 00:00:00 2001
From: Nao YONASHIRO <owan.orisano@gmail.com>
Date: Thu, 3 Jan 2019 19:27:07 +0900
Subject: [PATCH 0510/1660] docs: fix broken link

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index a4533df1..734726df 100644
--- a/README.md
+++ b/README.md
@@ -85,4 +85,4 @@ Building Tensorflow from sources:
 * Increase performance: When building from sources, we can leverage CPU specific optimizations
 * Is required: Tensorflow with GPU support must be built from sources
 
-The [Dockerfile](tensorflow-whl/Dockerfile) and the [instructions](tensorflow-whl/README.md) can be found in the [tensorflow-whl folder/](tensorflow/).
+The [Dockerfile](tensorflow-whl/Dockerfile) and the [instructions](tensorflow-whl/README.md) can be found in the [tensorflow-whl folder/](tensorflow-whl/).

From 38f2f6c1d5e07fb96ed7da44c7525653a687b2b5 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 3 Jan 2019 11:11:52 -0500
Subject: [PATCH 0511/1660] Update tag from untested to pretest

---
 Jenkinsfile | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 27dfd33e..45f32577 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -29,14 +29,14 @@ pipeline {
       }
     }
 
-    stage('Push CPU Untested Image') {
+    stage('Push CPU Pretest Image') {
       steps {
-        slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} pushing untested image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
+        slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} pushing pretest image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
         sh '''#!/bin/bash
           set -exo pipefail
 
           date
-          ./push ci-untested
+          ./push ci-pretest
         '''
       }
     }
@@ -83,15 +83,15 @@ pipeline {
       }
     }
 
-    stage('Push GPU Untested Image') {
+    stage('Push GPU Pretest Image') {
       agent { label 'ephemeral-linux-gpu' }
       steps {
-        slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} pushing untested image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
+        slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} pushing pretest image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
         sh '''#!/bin/bash
           set -exo pipefail
 
           date
-          ./push --gpu ci-untested
+          ./push --gpu ci-pretest
         '''
       }
     }

From 55caf21333e831479d5a902cd834a8979ffed77a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 3 Jan 2019 18:41:32 +0000
Subject: [PATCH 0512/1660] add tsfresh

---
 Dockerfile            |  1 +
 tests/test_tsfresh.py | 18 ++++++++++++++++++
 2 files changed, 19 insertions(+)
 create mode 100644 tests/test_tsfresh.py

diff --git a/Dockerfile b/Dockerfile
index fa585d0a..0f095fd8 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -473,6 +473,7 @@ RUN pip install flashtext && \
     pip install ggplot && \
     pip install cesium && \
     pip install rgf_python && \
+    pip install tsfresh && \
     /tmp/clean-layer.sh
 
 # Pin Vowpal Wabbit v8.6.0 because 8.6.1 does not build or install successfully
diff --git a/tests/test_tsfresh.py b/tests/test_tsfresh.py
new file mode 100644
index 00000000..8a1dbd55
--- /dev/null
+++ b/tests/test_tsfresh.py
@@ -0,0 +1,18 @@
+import unittest
+
+import pandas as pd
+import numpy as np
+
+from tsfresh import extract_features
+
+class TestTsFresh(unittest.TestCase):
+    def test_extract_feature(self):
+        ts = pd.DataFrame({
+            'id': np.array(['a', 'a', 'a', 'b', 'b', 'b']),
+            'time': np.array([0,1,2,0,1,2]),
+            'x': np.array([3,4,5,7,8,10])
+        })
+        extracted_features = extract_features(ts, column_id='id', column_sort='time')
+        self.assertEqual(2, len(extracted_features))
+
+

From 5eb393aa04d1d84c0193cad7edd23a5690a76f94 Mon Sep 17 00:00:00 2001
From: nlathia <neal.lathia@gmail.com>
Date: Thu, 3 Jan 2019 22:38:52 +0000
Subject: [PATCH 0513/1660] Add pytext smoke test

---
 tests/test_pytext.py | 14 ++++++++++++++
 1 file changed, 14 insertions(+)
 create mode 100644 tests/test_pytext.py

diff --git a/tests/test_pytext.py b/tests/test_pytext.py
new file mode 100644
index 00000000..52d1c4bc
--- /dev/null
+++ b/tests/test_pytext.py
@@ -0,0 +1,14 @@
+import unittest
+
+from pytext.config.field_config import FeatureConfig
+from pytext.data.featurizer import InputRecord, SimpleFeaturizer
+
+class TestPyText(unittest.TestCase):
+
+    def test_tokenize(self):
+        featurizer = SimpleFeaturizer.from_config(
+            SimpleFeaturizer.Config(), FeatureConfig()
+        )
+
+        tokens = featurizer.featurize(InputRecord(raw_text="At eight o'clock")).tokens
+        self.assertEqual(['at', 'eight', "o'clock"], tokens)

From ba8e462a97ddaa1288edc399c4bee49c8bd031ff Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Sat, 5 Jan 2019 23:14:26 -0500
Subject: [PATCH 0514/1660] Addressed mostly nits from code review and made
 tests safer but unsetting env var in tests that expected none set.

---
 patches/sitecustomize.py | 12 +++++++-----
 tests/test_bigquery.py   | 16 +++++++++++-----
 2 files changed, 18 insertions(+), 10 deletions(-)

diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index 7e353c9b..6a07f1e9 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -1,7 +1,8 @@
-import os
 from google.auth import credentials
 from google.cloud import bigquery
 from google.cloud.bigquery._http import Connection
+import os
+
 
 class KaggleKernelCredentials(credentials.Credentials):
     def refresh(self, request):
@@ -11,16 +12,18 @@ def refresh(self, request):
 
 kaggle_proxy_token = os.getenv("KAGGLE_DATA_PROXY_TOKEN")
 CONNECTION_BASE_URL = Connection.API_BASE_URL
+
+
 def monkeypatch_bq(bq_client, *args, **kwargs):
     data_proxy_project = os.getenv("KAGGLE_DATA_PROXY_PROJECT")
     bq_user_jwt = os.getenv("KAGGLE_BQ_USER_JWT")
-    specified_project = kwargs.get('project').lower() if 'project' in kwargs else None
+    specified_project = kwargs['project'] if 'project' in kwargs else None
     # Use Data Proxy if user has specified to use the Kaggle project, or if
     # there are no connected GCP accounts (to maintain backwards compatibility).
-    if bq_user_jwt is None and specified_project and specified_project != 'kaggle':
+    if bq_user_jwt is None and specified_project and specified_project.lower() != 'kaggle':
         raise Exception("In order to query a private BigQuery project, please connect a GCP account. "
                         "Otherwise specify 'kaggle' as the project to use Kaggle's public dataset BigQuery integration.")
-    use_data_proxy = specified_project == 'kaggle' or bq_user_jwt is None
+    use_data_proxy = (specified_project and specified_project.lower() == 'kaggle') or bq_user_jwt is None
     if use_data_proxy:
         if data_proxy_project is None or kaggle_proxy_token is None:
             # We don't have the data proxy info so leave the bq client unmodified.
@@ -43,7 +46,6 @@ def monkeypatch_bq(bq_client, *args, **kwargs):
             return bq_client(*args, **kwargs)
         print("Using enabled BigQuery integration.")
         kwargs['credentials'] = KaggleKernelCredentials()
-        kwargs['project'] = kwargs.get('project')
         return bq_client(
             *args,
             **kwargs)
diff --git a/tests/test_bigquery.py b/tests/test_bigquery.py
index e9ddffd1..5fa06e12 100644
--- a/tests/test_bigquery.py
+++ b/tests/test_bigquery.py
@@ -36,18 +36,24 @@ def do_GET(s):
 
             httpd.shutdown()
             if should_use_proxy:
-                self.assertTrue(HTTPHandler.called, msg="Fake server did not recieve a request from the BQ client.")
+                self.assertTrue(HTTPHandler.called, msg="Fake server did not receive a request from the BQ client.")
                 self.assertTrue(HTTPHandler.header_found, msg="X-KAGGLE-PROXY-DATA header was missing from the BQ request.")
             else:
                 self.assertFalse(HTTPHandler.called, msg="Fake server was called from the BQ client, but should not have been.")
     
     def test_proxy_kaggle_project(self):
-        client = bigquery.Client(project='KAGGLE')
-        self._test_proxy(client, should_use_proxy=True)
+        env = EnvironmentVarGuard()
+        env.unset('KAGGLE_BQ_USER_JWT')
+        with env:
+            client = bigquery.Client(project='KAGGLE')
+            self._test_proxy(client, should_use_proxy=True)
 
     def test_proxy_no_project(self):
-        client = bigquery.Client()
-        self._test_proxy(client, should_use_proxy=True)
+        env = EnvironmentVarGuard()
+        env.unset('KAGGLE_BQ_USER_JWT')
+        with env:
+            client = bigquery.Client()
+            self._test_proxy(client, should_use_proxy=True)
 
     def test_project_with_connected_account(self):
         env = EnvironmentVarGuard()

From da1b91ef0c7d1dce86e1d79fb55d5ba8dcbe15f5 Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Mon, 7 Jan 2019 13:29:47 -0500
Subject: [PATCH 0515/1660] Add docstring and another nit.

---
 patches/sitecustomize.py | 4 +++-
 tests/test_bigquery.py   | 1 +
 2 files changed, 4 insertions(+), 1 deletion(-)

diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index 6a07f1e9..44054d40 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -5,6 +5,8 @@
 
 
 class KaggleKernelCredentials(credentials.Credentials):
+    """Custom Credentials used to authenticate using the Kernel's connected OAuth account."""
+
     def refresh(self, request):
         print("Calling Kaggle.UserSecrets to refresh token.")
         # Set self.token and self.expiry here.
@@ -17,7 +19,7 @@ def refresh(self, request):
 def monkeypatch_bq(bq_client, *args, **kwargs):
     data_proxy_project = os.getenv("KAGGLE_DATA_PROXY_PROJECT")
     bq_user_jwt = os.getenv("KAGGLE_BQ_USER_JWT")
-    specified_project = kwargs['project'] if 'project' in kwargs else None
+    specified_project = kwargs.get('project')
     # Use Data Proxy if user has specified to use the Kaggle project, or if
     # there are no connected GCP accounts (to maintain backwards compatibility).
     if bq_user_jwt is None and specified_project and specified_project.lower() != 'kaggle':
diff --git a/tests/test_bigquery.py b/tests/test_bigquery.py
index 5fa06e12..5319791a 100644
--- a/tests/test_bigquery.py
+++ b/tests/test_bigquery.py
@@ -13,6 +13,7 @@
 URL = "http://%s:%s" % (HOSTNAME, PORT)
 
 class TestBigQuery(unittest.TestCase):
+    
     def _test_proxy(self, client, should_use_proxy):
         class HTTPHandler(BaseHTTPRequestHandler):
             called = False

From be0a51dafc707d3803160060f59f362f54924042 Mon Sep 17 00:00:00 2001
From: acsands13 <acsands13@gmail.com>
Date: Tue, 8 Jan 2019 09:54:56 -0500
Subject: [PATCH 0516/1660] Add magnitude and tests

---
 Dockerfile                   |   1 +
 tests/data/vectors.magnitude | Bin 0 -> 36864 bytes
 tests/test_pymagnitude.py    |  17 +++++++++++++++++
 3 files changed, 18 insertions(+)
 create mode 100644 tests/data/vectors.magnitude
 create mode 100644 tests/test_pymagnitude.py

diff --git a/Dockerfile b/Dockerfile
index ea25bc2e..429224fa 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -475,6 +475,7 @@ RUN pip install flashtext && \
     pip install rgf_python && \
     pip install pytext-nlp && \
     pip install tsfresh && \
+    pip install pymagnitude && \
     /tmp/clean-layer.sh
 
 # Pin Vowpal Wabbit v8.6.0 because 8.6.1 does not build or install successfully
diff --git a/tests/data/vectors.magnitude b/tests/data/vectors.magnitude
new file mode 100644
index 0000000000000000000000000000000000000000..fd392fcc1a17bbffffac41c97871b5220fe78d46
GIT binary patch
literal 36864
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diff --git a/tests/test_pymagnitude.py b/tests/test_pymagnitude.py
new file mode 100644
index 00000000..fa74a4a0
--- /dev/null
+++ b/tests/test_pymagnitude.py
@@ -0,0 +1,17 @@
+import unittest
+import pymagnitude
+
+from pymagnitude import *
+
+class TestPyMagnitude(unittest.TestCase):
+    def test_has_vectors(self):
+        vectors = Magnitude('/input/tests/data/vectors.magnitude')
+        self.assertEqual(len(vectors), 2)
+
+    def test_vector_search(self):
+        vectors = Magnitude('/input/tests/data/vectors.magnitude')
+        self.assertTrue('the' in vectors)
+
+    def test_vector_query(self):
+        vectors = Magnitude('/input/tests/data/vectors.magnitude')
+        self.assertTrue(vectors.dim == len(vectors.query('the')))

From 956d924dfa0e4b9953d4a6ffa30ea739ce10f0a0 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 8 Jan 2019 19:00:53 +0000
Subject: [PATCH 0517/1660] Increase verbosity of test log

---
 test | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/test b/test
index 7ba91f39..fdc7f6b9 100755
--- a/test
+++ b/test
@@ -87,4 +87,4 @@ docker run --rm -t --read-only --net=none \
     -w=/working \
     $ADDITONAL_OPTS \
     "$IMAGE_TAG" \
-    /bin/bash -c "python -m unittest discover -s /input/tests -p $PATTERN"
+    /bin/bash -c "python -m unittest discover -s /input/tests -p $PATTERN -v"

From f40cb0223382cb89601aebd89a9b5dbdaa395cde Mon Sep 17 00:00:00 2001
From: = <=>
Date: Wed, 9 Jan 2019 08:37:21 -0500
Subject: [PATCH 0518/1660] Add pykalman and tests

---
 Dockerfile              |  1 +
 tests/test_pykalman.py  | 47 +++++++++++++++++++++++++++++++++++++++++
 tests/test_pykalman.py~ | 47 +++++++++++++++++++++++++++++++++++++++++
 3 files changed, 95 insertions(+)
 create mode 100644 tests/test_pykalman.py
 create mode 100644 tests/test_pykalman.py~

diff --git a/Dockerfile b/Dockerfile
index 429224fa..61b370f3 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -476,6 +476,7 @@ RUN pip install flashtext && \
     pip install pytext-nlp && \
     pip install tsfresh && \
     pip install pymagnitude && \
+    pip install pykalman && \
     /tmp/clean-layer.sh
 
 # Pin Vowpal Wabbit v8.6.0 because 8.6.1 does not build or install successfully
diff --git a/tests/test_pykalman.py b/tests/test_pykalman.py
new file mode 100644
index 00000000..26d86003
--- /dev/null
+++ b/tests/test_pykalman.py
@@ -0,0 +1,47 @@
+import unittest
+import numpy as np
+from pykalman import KalmanFilter
+from pykalman import UnscentedKalmanFilter
+from pykalman.sqrt import CholeskyKalmanFilter, AdditiveUnscentedKalmanFilter
+
+class TestPyKalman(unittest.TestCase):
+    def test_kalman_filter(self):
+        kf = KalmanFilter(transition_matrices = [[1, 1], [0, 1]], observation_matrices = [[0.1, 0.5], [-0.3, 0.0]])
+        measurements = np.asarray([[1,0], [0,0], [0,1]])  # 3 observations
+        kf = kf.em(measurements, n_iter=5)
+        (filtered_state_means, filtered_state_covariances) = kf.filter(measurements)
+        (smoothed_state_means, smoothed_state_covariances) = kf.smooth(measurements)
+        return filtered_state_means
+       
+    def test_kalman_missing(self):
+        kf = KalmanFilter(transition_matrices = [[1, 1], [0, 1]], observation_matrices = [[0.1, 0.5], [-0.3, 0.0]])
+        measurements = np.asarray([[1,0], [0,0], [0,1]])  # 3 observations
+        measurements = np.ma.asarray(measurements)
+        measurements[1] = np.ma.masked
+        kf = kf.em(measurements, n_iter=5)
+        (filtered_state_means, filtered_state_covariances) = kf.filter(measurements)
+        (smoothed_state_means, smoothed_state_covariances) = kf.smooth(measurements)
+        return filtered_state_means
+
+    def test_unscented_kalman(self):
+        ukf = UnscentedKalmanFilter(lambda x, w: x + np.sin(w), lambda x, v: x + v, transition_covariance=0.1)
+        (filtered_state_means, filtered_state_covariances) = ukf.filter([0, 1, 2])
+        (smoothed_state_means, smoothed_state_covariances) = ukf.smooth([0, 1, 2])
+        return filtered_state_means
+
+    def test_online_update(self):
+        kf = KalmanFilter(transition_matrices = [[1, 1], [0, 1]], observation_matrices = [[0.1, 0.5], [-0.3, 0.0]])
+        measurements = np.asarray([[1,0], [0,0], [0,1]])  # 3 observations
+        measurements = np.ma.asarray(measurements)
+        measurements[1] = np.ma.masked   # measurement at timestep 1 is unobserved
+        kf = kf.em(measurements, n_iter=5)
+        (filtered_state_means, filtered_state_covariances) = kf.filter(measurements)
+        for t in range(1, 3):
+            filtered_state_means[t], filtered_state_covariances[t] = \
+                kf.filter_update(filtered_state_means[t-1], filtered_state_covariances[t-1], measurements[t])
+        return filtered_state_means
+
+    def test_robust_sqrt(self):
+        kf = CholeskyKalmanFilter(transition_matrices = [[1, 1], [0, 1]], observation_matrices = [[0.1, 0.5], [-0.3, 0.0]])
+        ukf = AdditiveUnscentedKalmanFilter(lambda x, w: x + np.sin(w), lambda x, v: x + v, observation_covariance=0.1)
+        
diff --git a/tests/test_pykalman.py~ b/tests/test_pykalman.py~
new file mode 100644
index 00000000..71d9868b
--- /dev/null
+++ b/tests/test_pykalman.py~
@@ -0,0 +1,47 @@
+import unittest
+import numpy as np
+from pykalman import KalmanFilter
+from pykalman import UnscentedKalmanFilter
+from pykalman.sqrt import CholeskyKalmanFilter, AdditiveUnscentedKalmanFilter
+
+class TestPyKalman(unittest.TestCase):
+    def test_kalman_filter(self):
+        kf = KalmanFilter(transition_matrices = [[1, 1], [0, 1]], observation_matrices = [[0.1, 0.5], [-0.3, 0.0]])
+        measurements = np.asarray([[1,0], [0,0], [0,1]])  # 3 observations
+        kf = kf.em(measurements, n_iter=5)
+        (filtered_state_means, filtered_state_covariances) = kf.filter(measurements)
+        (smoothed_state_means, smoothed_state_covariances) = kf.smooth(measurements)
+        return filtered_state_means
+       
+    def test_kalman_missing(self):
+        kf = KalmanFilter(transition_matrices = [[1, 1], [0, 1]], observation_matrices = [[0.1, 0.5], [-0.3, 0.0]])
+        measurements = np.asarray([[1,0], [0,0], [0,1]])  # 3 observations
+        measurements = np.ma.asarray(measurements)
+        measurements[1] = ma.masked
+        kf = kf.em(measurements, n_iter=5)
+        (filtered_state_means, filtered_state_covariances) = kf.filter(measurements)
+        (smoothed_state_means, smoothed_state_covariances) = kf.smooth(measurements)
+        return filtered_state_means
+
+    def test_unscented_kalman(self):
+        ukf = UnscentedKalmanFilter(lambda x, w: x + np.sin(w), lambda x, v: x + v, transition_covariance=0.1)
+        (filtered_state_means, filtered_state_covariances) = ukf.filter([0, 1, 2])
+        (smoothed_state_means, smoothed_state_covariances) = ukf.smooth([0, 1, 2])
+        return filtered_state_means
+
+    def test_online_update(self):
+        kf = KalmanFilter(transition_matrices = [[1, 1], [0, 1]], observation_matrices = [[0.1, 0.5], [-0.3, 0.0]])
+        measurements = np.asarray([[1,0], [0,0], [0,1]])  # 3 observations
+        measurements = ma.asarray(measurements)
+        measurements[1] = ma.masked   # measurement at timestep 1 is unobserved
+        kf = kf.em(measurements, n_iter=5)
+        (filtered_state_means, filtered_state_covariances) = kf.filter(measurements)
+        for t in range(1, 3):
+            filtered_state_means[t], filtered_state_covariances[t] = \
+                kf.filter_update(filtered_state_means[t-1], filtered_state_covariances[t-1], measurements[t])
+        return filtered_state_means
+
+    def test_robust_sqrt(self):
+        kf = CholeskyKalmanFilter(transition_matrices = [[1, 1], [0, 1]], observation_matrices = [[0.1, 0.5], [-0.3, 0.0]])
+        ukf = AdditiveUnscentedKalmanFilter(lambda x, w: x + np.sin(w), lambda x, v: x + v, observation_covariance=0.1)
+        

From cbadf5c564d7f5f701499409e2ae77ff90ba477c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 9 Jan 2019 22:12:25 +0000
Subject: [PATCH 0519/1660] Add conv2d test for tensorflow

---
 tests/test_tensorflow.py | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/tests/test_tensorflow.py b/tests/test_tensorflow.py
index 10a66837..62e288b7 100644
--- a/tests/test_tensorflow.py
+++ b/tests/test_tensorflow.py
@@ -14,6 +14,15 @@ def test_addition(self):
         result = sess.run(op)
 
         self.assertEqual(5, result)
+
+    def test_conv2d(self):
+        input = tf.random_normal([1,2,2,1])
+        filter = tf.random_normal([1,1,1,1])
+
+        op = tf.nn.conv2d(input, filter, strides=[1, 1, 1, 1], padding='SAME')
+        with tf.Session() as sess:
+            result = sess.run(op)
+            self.assertEqual(4, len(result.shape))
     
     @gpu_test
     def test_gpu(self):

From 2e4e184013b7d421d8278955e193f4ff06dff361 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 9 Jan 2019 22:47:46 +0000
Subject: [PATCH 0520/1660] add tensorflow cudnn test

---
 tests/test_tensorflow.py | 24 +++++++++++++++++++++---
 1 file changed, 21 insertions(+), 3 deletions(-)

diff --git a/tests/test_tensorflow.py b/tests/test_tensorflow.py
index 62e288b7..7142d5c2 100644
--- a/tests/test_tensorflow.py
+++ b/tests/test_tensorflow.py
@@ -2,6 +2,7 @@
 
 import numpy as np
 import tensorflow as tf
+from tensorflow.contrib.cudnn_rnn import CudnnGRU
 
 from common import gpu_test
 
@@ -23,6 +24,23 @@ def test_conv2d(self):
         with tf.Session() as sess:
             result = sess.run(op)
             self.assertEqual(4, len(result.shape))
+
+    @gpu_test
+    def test_cudnn_gru(self):
+        input = tf.random_normal([1,2,2])
+
+        gru = CudnnGRU(
+            num_layers=1,
+            num_units=1,
+            input_mode='skip_input',
+            direction='unidirectional'
+        )
+
+        op = gru(input)
+
+        with tf.Session() as sess:
+            # Will fail if Cudnn is not properly installed
+            sess.run(op)
     
     @gpu_test
     def test_gpu(self):
@@ -31,7 +49,7 @@ def test_gpu(self):
             m2 = tf.constant([3.0, 4.0], shape=[2, 1], name='b')
             op = tf.matmul(m1, m2)
 
-            sess = tf.Session()
-            result = sess.run(op)
+            with tf.Session() as sess:
+                result = sess.run(op)
 
-            self.assertEqual(np.array(18, dtype=np.float32, ndmin=2), result)
+                self.assertEqual(np.array(18, dtype=np.float32, ndmin=2), result)

From 72fb1a0e6d478b55c64e26c337386140fba8fab4 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 9 Jan 2019 22:52:06 +0000
Subject: [PATCH 0521/1660] init tf session

---
 tests/test_tensorflow.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/tests/test_tensorflow.py b/tests/test_tensorflow.py
index 7142d5c2..b6fd43c6 100644
--- a/tests/test_tensorflow.py
+++ b/tests/test_tensorflow.py
@@ -28,6 +28,7 @@ def test_conv2d(self):
     @gpu_test
     def test_cudnn_gru(self):
         input = tf.random_normal([1,2,2])
+        init = tf.global_variables_initializer()
 
         gru = CudnnGRU(
             num_layers=1,
@@ -39,6 +40,7 @@ def test_cudnn_gru(self):
         op = gru(input)
 
         with tf.Session() as sess:
+            sess.run(init)
             # Will fail if Cudnn is not properly installed
             sess.run(op)
     

From 669ebe745c215c7a43245d7c2593f34b28dc42c2 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 9 Jan 2019 22:55:54 +0000
Subject: [PATCH 0522/1660] add kernel initializer

---
 tests/test_tensorflow.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/tests/test_tensorflow.py b/tests/test_tensorflow.py
index b6fd43c6..f2c5b72b 100644
--- a/tests/test_tensorflow.py
+++ b/tests/test_tensorflow.py
@@ -34,7 +34,8 @@ def test_cudnn_gru(self):
             num_layers=1,
             num_units=1,
             input_mode='skip_input',
-            direction='unidirectional'
+            direction='unidirectional',
+            kernel_initializer=tf.random_normal_initializer(stddev=0.1)
         )
 
         op = gru(input)

From 32f529794f3b2759097eb80bd5b0dd1254257dfe Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 9 Jan 2019 23:09:56 +0000
Subject: [PATCH 0523/1660] call build on gru

---
 tests/test_tensorflow.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/tests/test_tensorflow.py b/tests/test_tensorflow.py
index f2c5b72b..d31e139f 100644
--- a/tests/test_tensorflow.py
+++ b/tests/test_tensorflow.py
@@ -27,7 +27,7 @@ def test_conv2d(self):
 
     @gpu_test
     def test_cudnn_gru(self):
-        input = tf.random_normal([1,2,2])
+        input = tf.random_normal([1,2,1])
         init = tf.global_variables_initializer()
 
         gru = CudnnGRU(
@@ -38,6 +38,7 @@ def test_cudnn_gru(self):
             kernel_initializer=tf.random_normal_initializer(stddev=0.1)
         )
 
+        gru.build([None, None, 100])
         op = gru(input)
 
         with tf.Session() as sess:

From f5411601117f65c0ce6b26d0039265a2d0881d09 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 9 Jan 2019 23:22:01 +0000
Subject: [PATCH 0524/1660] reduce sum

---
 tests/test_tensorflow.py | 21 +++++++++++++++------
 1 file changed, 15 insertions(+), 6 deletions(-)

diff --git a/tests/test_tensorflow.py b/tests/test_tensorflow.py
index d31e139f..feefd980 100644
--- a/tests/test_tensorflow.py
+++ b/tests/test_tensorflow.py
@@ -27,24 +27,33 @@ def test_conv2d(self):
 
     @gpu_test
     def test_cudnn_gru(self):
-        input = tf.random_normal([1,2,1])
+        num_layers = 4
+        num_units = 2
+        batch_size = 8
+        dir_count = 1
+
+        inputs = tf.random_uniform([num_layers * dir_count, batch_size, num_units], dtype=dtypes.float32)
         init = tf.global_variables_initializer()
 
         gru = CudnnGRU(
-            num_layers=1,
-            num_units=1,
+            num_layers=num_layers,
+            num_units=num_units,
             input_mode='skip_input',
             direction='unidirectional',
             kernel_initializer=tf.random_normal_initializer(stddev=0.1)
+            bias_initializer=tf.random_normal_initializer(stddev=0.1),
+            name='test_gru'
         )
 
-        gru.build([None, None, 100])
-        op = gru(input)
+        #gru.build([None, None, 100])
+        outputs, _ = gru(input)
+        sum = tf.reduce_sum(outputs)
 
         with tf.Session() as sess:
             sess.run(init)
             # Will fail if Cudnn is not properly installed
-            sess.run(op)
+            result = sess.run(sum)
+            self.assertEqual(0, result)
     
     @gpu_test
     def test_gpu(self):

From c00785c13b541c41fc44379b488c4a3370483eff Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 10 Jan 2019 01:15:15 +0000
Subject: [PATCH 0525/1660] switch to cudnn lstm test

---
 tests/test_tensorflow.py | 24 +++++++++++-------------
 1 file changed, 11 insertions(+), 13 deletions(-)

diff --git a/tests/test_tensorflow.py b/tests/test_tensorflow.py
index feefd980..64c249bf 100644
--- a/tests/test_tensorflow.py
+++ b/tests/test_tensorflow.py
@@ -2,7 +2,9 @@
 
 import numpy as np
 import tensorflow as tf
-from tensorflow.contrib.cudnn_rnn import CudnnGRU
+from tensorflow.contrib import cudnn_rnn
+from tensorflow.python.framework import dtypes
+from tensorflow.python.ops import variables
 
 from common import gpu_test
 
@@ -26,33 +28,29 @@ def test_conv2d(self):
             self.assertEqual(4, len(result.shape))
 
     @gpu_test
-    def test_cudnn_gru(self):
+    def test_cudnn_lstm(self):
         num_layers = 4
         num_units = 2
         batch_size = 8
         dir_count = 1
 
         inputs = tf.random_uniform([num_layers * dir_count, batch_size, num_units], dtype=dtypes.float32)
-        init = tf.global_variables_initializer()
 
-        gru = CudnnGRU(
+        lstm = cudnn_rnn.CudnnLSTM(
             num_layers=num_layers,
             num_units=num_units,
-            input_mode='skip_input',
             direction='unidirectional',
-            kernel_initializer=tf.random_normal_initializer(stddev=0.1)
-            bias_initializer=tf.random_normal_initializer(stddev=0.1),
+            kernel_initializer=tf.constant_initializer(0.),
+            bias_initializer=tf.constant_initializer(0.),
             name='test_gru'
         )
 
-        #gru.build([None, None, 100])
-        outputs, _ = gru(input)
-        sum = tf.reduce_sum(outputs)
+        outputs, _ = lstm(inputs)
+        total_sum = tf.reduce_sum(outputs)
 
         with tf.Session() as sess:
-            sess.run(init)
-            # Will fail if Cudnn is not properly installed
-            result = sess.run(sum)
+            sess.run(variables.global_variables_initializer())
+            result = sess.run(total_sum)
             self.assertEqual(0, result)
     
     @gpu_test

From 50936e4b36256321b24a34a09c34864d6ce33a18 Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Thu, 10 Jan 2019 13:31:43 -0500
Subject: [PATCH 0526/1660] Separate Data Proxy monkeypatching into a distinct
 kaggle library and only expose gcp connected account as a credential class
 the user can pass into the vanilla bq client. In the future we should remove
 all monkeypatching and let users use either vanilla bq or the Kaggle library.

---
 Dockerfile               |  1 +
 patches/kaggle.py        | 40 ++++++++++++++++++++++
 patches/sitecustomize.py | 74 ++++++++++++----------------------------
 tests/test_bigquery.py   | 23 ++++++++++---
 4 files changed, 80 insertions(+), 58 deletions(-)
 create mode 100644 patches/kaggle.py

diff --git a/Dockerfile b/Dockerfile
index ea25bc2e..03e2e78e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -504,6 +504,7 @@ RUN pip install --upgrade dask && \
 
 # Add BigQuery client proxy settings
 ENV PYTHONUSERBASE "/root/.local"
+ADD patches/kaggle.py /root/.local/lib/python3.6/site-packages/kaggle.py
 ADD patches/sitecustomize.py /root/.local/lib/python3.6/site-packages/sitecustomize.py
 
 # Set backend for matplotlib
diff --git a/patches/kaggle.py b/patches/kaggle.py
new file mode 100644
index 00000000..798c80b7
--- /dev/null
+++ b/patches/kaggle.py
@@ -0,0 +1,40 @@
+import os
+from google.auth import credentials
+from google.cloud import bigquery
+from google.cloud.bigquery._http import Connection
+
+
+class KaggleKernelCredentials(credentials.Credentials):
+        """Custom Credentials used to authenticate using the Kernel's connected OAuth account."""
+
+        def refresh(self, request):
+            print("Calling Kaggle.UserSecrets to refresh token.")
+            # Set self.token and self.expiry here.
+            raise NotImplementedError(
+                "Private BigQuery integration is not yet implemented.")
+
+
+class DataProxyConnection(Connection):
+        """Custom Connection class used to proxy the BigQuery client ho Kaggle's data proxy."""
+
+        API_BASE_URL = os.getenv("KAGGLE_DATA_PROXY_URL")
+
+        def __init__(self, client):
+            super().__init__(client)
+            self._EXTRA_HEADERS["X-KAGGLE-PROXY-DATA"] = os.getenv("KAGGLE_DATA_PROXY_TOKEN")
+
+
+class DataProxyClient(bigquery.client.Client):
+    def __init__(self, project=None):
+        if project:
+            raise Exception("In order to query a private BigQuery project, please connect a GCP account. "
+                            "Otherwise do not specify a project to use Kaggle's public dataset BigQuery integration.")
+        data_proxy_project = os.getenv("KAGGLE_DATA_PROXY_PROJECT")
+        anon_credentials = credentials.AnonymousCredentials()
+        anon_credentials.refresh = lambda *args: None
+        super().__init__(
+            project=data_proxy_project, credentials=anon_credentials
+        )
+        self._connection = DataProxyConnection(self)
+
+kaggle_bq_client = lambda *args, **kwargs:  DataProxyClient(*args, **kwargs)
\ No newline at end of file
diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index 44054d40..feada5dc 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -1,58 +1,26 @@
-from google.auth import credentials
-from google.cloud import bigquery
-from google.cloud.bigquery._http import Connection
 import os
 
-
-class KaggleKernelCredentials(credentials.Credentials):
-    """Custom Credentials used to authenticate using the Kernel's connected OAuth account."""
-
-    def refresh(self, request):
-        print("Calling Kaggle.UserSecrets to refresh token.")
-        # Set self.token and self.expiry here.
-        raise NotImplementedError("Private BigQuery integration is not yet implemented.")
-
 kaggle_proxy_token = os.getenv("KAGGLE_DATA_PROXY_TOKEN")
-CONNECTION_BASE_URL = Connection.API_BASE_URL
-
-
-def monkeypatch_bq(bq_client, *args, **kwargs):
-    data_proxy_project = os.getenv("KAGGLE_DATA_PROXY_PROJECT")
-    bq_user_jwt = os.getenv("KAGGLE_BQ_USER_JWT")
-    specified_project = kwargs.get('project')
-    # Use Data Proxy if user has specified to use the Kaggle project, or if
-    # there are no connected GCP accounts (to maintain backwards compatibility).
-    if bq_user_jwt is None and specified_project and specified_project.lower() != 'kaggle':
-        raise Exception("In order to query a private BigQuery project, please connect a GCP account. "
-                        "Otherwise specify 'kaggle' as the project to use Kaggle's public dataset BigQuery integration.")
-    use_data_proxy = (specified_project and specified_project.lower() == 'kaggle') or bq_user_jwt is None
-    if use_data_proxy:
-        if data_proxy_project is None or kaggle_proxy_token is None:
-            # We don't have the data proxy info so leave the bq client unmodified.
-            return bq_client(*args, **kwargs)
-        print("Using Kaggle's public dataset BigQuery integration.")
-        Connection.API_BASE_URL = os.getenv("KAGGLE_DATA_PROXY_URL")
-        Connection._EXTRA_HEADERS["X-KAGGLE-PROXY-DATA"] = kaggle_proxy_token
-        anon_credentials = credentials.AnonymousCredentials()
-        anon_credentials.refresh = lambda *args: None
-        kwargs['project'] = data_proxy_project
-        return bq_client(
-            *args,
-            credentials=anon_credentials,
-            **kwargs)
-    else:
-        Connection.API_BASE_URL = CONNECTION_BASE_URL
-        Connection._EXTRA_HEADERS.pop('X-KAGGLE-PROXY-DATA', None)
-        if kwargs.get('credentials') is not None:
-            # The user wants to use their own credentials scheme, don't try to interfere.
+bq_user_jwt = os.getenv("KAGGLE_BQ_USER_JWT")
+if (kaggle_proxy_token or bq_user_jwt):
+    from google.auth import credentials
+    from google.cloud import bigquery
+    from google.cloud.bigquery._http import Connection
+    from kaggle import kaggle_bq_client
+
+    def monkeypatch_bq(bq_client, *args, **kwargs):
+        data_proxy_project = os.getenv("KAGGLE_DATA_PROXY_PROJECT")
+        specified_project = kwargs.get('project')
+        specified_credentials = kwargs.get('credentials')
+        if specified_project is None and specified_credentials is None:
+            print("Using Kaggle's public dataset BigQuery integration.")
+            return kaggle_bq_client(*args, **kwargs)
+        else:
             return bq_client(*args, **kwargs)
-        print("Using enabled BigQuery integration.")
-        kwargs['credentials'] = KaggleKernelCredentials()
-        return bq_client(
-            *args,
-            **kwargs)
-
-# Monkey patches BigQuery client creation to use proxy or user.
-bq_client = bigquery.Client
-bigquery.Client = lambda *args, **kwargs:  monkeypatch_bq(bq_client, *args, **kwargs)
 
+    # Monkey patches BigQuery client creation to use proxy or user-connected GCP account.
+    # TODO: Remove monkeypatching altogether and move to using a Kaggle library for Data Proxy and
+    # KaggleKernelCredentials with vanilla bq client for connected account.
+    bq_client = bigquery.Client
+    bigquery.Client = lambda *args, **kwargs:  monkeypatch_bq(
+        bq_client, *args, **kwargs)
diff --git a/tests/test_bigquery.py b/tests/test_bigquery.py
index 5319791a..bf9c7f41 100644
--- a/tests/test_bigquery.py
+++ b/tests/test_bigquery.py
@@ -7,6 +7,7 @@
 
 from google.cloud import bigquery
 from google.auth.exceptions import DefaultCredentialsError
+from kaggle import KaggleKernelCredentials, kaggle_bq_client
 
 HOSTNAME = "127.0.0.1"
 PORT = 8000
@@ -41,12 +42,12 @@ def do_GET(s):
                 self.assertTrue(HTTPHandler.header_found, msg="X-KAGGLE-PROXY-DATA header was missing from the BQ request.")
             else:
                 self.assertFalse(HTTPHandler.called, msg="Fake server was called from the BQ client, but should not have been.")
-    
-    def test_proxy_kaggle_project(self):
+
+    def test_proxy_using_library(self):
         env = EnvironmentVarGuard()
         env.unset('KAGGLE_BQ_USER_JWT')
         with env:
-            client = bigquery.Client(project='KAGGLE')
+            client = kaggle_bq_client()
             self._test_proxy(client, should_use_proxy=True)
 
     def test_proxy_no_project(self):
@@ -60,8 +61,20 @@ def test_project_with_connected_account(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_BQ_USER_JWT', 'foobar')
         with env:
-            client = bigquery.Client(project='ANOTHER_PROJECT')
+            client = bigquery.Client(project='ANOTHER_PROJECT', credentials=KaggleKernelCredentials())
             self._test_proxy(client, should_use_proxy=False)
+    
+    def test_simultaneous_clients(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_BQ_USER_JWT', 'foobar')
+        with env:
+            proxy_client = bigquery.Client()
+            self._test_proxy(proxy_client, should_use_proxy=True)
+            bq_client = bigquery.Client(project='ANOTHER_PROJECT', credentials=KaggleKernelCredentials())
+            self._test_proxy(bq_client, should_use_proxy=False)
+            # Verify that proxy client is still going to proxy to ensure global Connection
+            # isn't being modified.
+            self._test_proxy(proxy_client, should_use_proxy=True)
 
     def test_no_project_with_connected_account(self):
         env = EnvironmentVarGuard()
@@ -70,5 +83,5 @@ def test_no_project_with_connected_account(self):
             with self.assertRaises(DefaultCredentialsError):
                 # TODO(vimota): Handle this case, either default to Kaggle Proxy or use some default project
                 # by the user or throw a custom exception.
-                client = bigquery.Client()
+                client = bigquery.Client(credentials=KaggleKernelCredentials())
                 self._test_proxy(client, should_use_proxy=False)

From 3855cf7fab9ea8127292ec8139e5e3ba38ecfea8 Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Thu, 10 Jan 2019 13:41:10 -0500
Subject: [PATCH 0527/1660] Remove HOST and PORT constant from test, get from
 env var instead.

---
 tests/test_bigquery.py | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/tests/test_bigquery.py b/tests/test_bigquery.py
index bf9c7f41..b183859e 100644
--- a/tests/test_bigquery.py
+++ b/tests/test_bigquery.py
@@ -2,6 +2,7 @@
 import os
 import threading
 from test.support import EnvironmentVarGuard
+from urllib.parse import urlparse
 
 from http.server import BaseHTTPRequestHandler, HTTPServer
 
@@ -9,9 +10,6 @@
 from google.auth.exceptions import DefaultCredentialsError
 from kaggle import KaggleKernelCredentials, kaggle_bq_client
 
-HOSTNAME = "127.0.0.1"
-PORT = 8000
-URL = "http://%s:%s" % (HOSTNAME, PORT)
 
 class TestBigQuery(unittest.TestCase):
     
@@ -28,7 +26,8 @@ def do_GET(s):
                 HTTPHandler.header_found = any(k for k in s.headers if k == "X-KAGGLE-PROXY-DATA" and s.headers[k] == "test-key")
                 s.send_response(200)
 
-        with HTTPServer((HOSTNAME, PORT), HTTPHandler) as httpd:
+        server_address = urlparse(os.getenv('KAGGLE_DATA_PROXY_URL'))
+        with HTTPServer((server_address.hostname, server_address.port), HTTPHandler) as httpd:
             threading.Thread(target=httpd.serve_forever).start()
 
             try:

From fba9b0553bca565127de00919175135f54f7e2ae Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Thu, 10 Jan 2019 19:56:58 -0500
Subject: [PATCH 0528/1660] Make Connection object private and rename
 DataProxyClient to PublicBigQueryClient

---
 patches/kaggle.py        | 43 +++++++++++++++++++++++++---------------
 patches/sitecustomize.py | 10 +++++-----
 tests/test_bigquery.py   |  4 ++--
 3 files changed, 34 insertions(+), 23 deletions(-)

diff --git a/patches/kaggle.py b/patches/kaggle.py
index 798c80b7..83837282 100644
--- a/patches/kaggle.py
+++ b/patches/kaggle.py
@@ -5,26 +5,39 @@
 
 
 class KaggleKernelCredentials(credentials.Credentials):
-        """Custom Credentials used to authenticate using the Kernel's connected OAuth account."""
+    """Custom Credentials used to authenticate using the Kernel's connected OAuth account.
 
-        def refresh(self, request):
-            print("Calling Kaggle.UserSecrets to refresh token.")
-            # Set self.token and self.expiry here.
-            raise NotImplementedError(
-                "Private BigQuery integration is not yet implemented.")
+    Example usage:
+    client = bigquery.Client(project='ANOTHER_PROJECT',
+                                credentials=KaggleKernelCredentials())
+    """
 
+    def refresh(self, request):
+        print("Calling Kaggle.UserSecrets to refresh token.")
+        # Set self.token and self.expiry here.
+        raise NotImplementedError(
+            "Private BigQuery integration is not yet implemented.")
 
-class DataProxyConnection(Connection):
-        """Custom Connection class used to proxy the BigQuery client ho Kaggle's data proxy."""
 
-        API_BASE_URL = os.getenv("KAGGLE_DATA_PROXY_URL")
+class _DataProxyConnection(Connection):
+    """Custom Connection class used to proxy the BigQuery client to Kaggle's data proxy."""
 
-        def __init__(self, client):
-            super().__init__(client)
-            self._EXTRA_HEADERS["X-KAGGLE-PROXY-DATA"] = os.getenv("KAGGLE_DATA_PROXY_TOKEN")
+    API_BASE_URL = os.getenv("KAGGLE_DATA_PROXY_URL")
 
+    def __init__(self, client):
+        super().__init__(client)
+        self._EXTRA_HEADERS["X-KAGGLE-PROXY-DATA"] = os.getenv(
+            "KAGGLE_DATA_PROXY_TOKEN")
+
+
+class PublicBigqueryClient(bigquery.client.Client):
+    """A modified BigQuery client that routes requests using Kaggle's Data Proxy to provide free access to Public Datasets.
+
+    Example usage:
+    from kaggle import PublicBigqueryClient
+    client = PublicBigqueryClient()
+    """
 
-class DataProxyClient(bigquery.client.Client):
     def __init__(self, project=None):
         if project:
             raise Exception("In order to query a private BigQuery project, please connect a GCP account. "
@@ -35,6 +48,4 @@ def __init__(self, project=None):
         super().__init__(
             project=data_proxy_project, credentials=anon_credentials
         )
-        self._connection = DataProxyConnection(self)
-
-kaggle_bq_client = lambda *args, **kwargs:  DataProxyClient(*args, **kwargs)
\ No newline at end of file
+        self._connection = _DataProxyConnection(self)
diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index feada5dc..6e18745a 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -2,11 +2,11 @@
 
 kaggle_proxy_token = os.getenv("KAGGLE_DATA_PROXY_TOKEN")
 bq_user_jwt = os.getenv("KAGGLE_BQ_USER_JWT")
-if (kaggle_proxy_token or bq_user_jwt):
+if kaggle_proxy_token or bq_user_jwt:
     from google.auth import credentials
     from google.cloud import bigquery
     from google.cloud.bigquery._http import Connection
-    from kaggle import kaggle_bq_client
+    from kaggle import PublicBigqueryClient
 
     def monkeypatch_bq(bq_client, *args, **kwargs):
         data_proxy_project = os.getenv("KAGGLE_DATA_PROXY_PROJECT")
@@ -14,13 +14,13 @@ def monkeypatch_bq(bq_client, *args, **kwargs):
         specified_credentials = kwargs.get('credentials')
         if specified_project is None and specified_credentials is None:
             print("Using Kaggle's public dataset BigQuery integration.")
-            return kaggle_bq_client(*args, **kwargs)
+            return PublicBigqueryClient(*args, **kwargs)
         else:
             return bq_client(*args, **kwargs)
 
     # Monkey patches BigQuery client creation to use proxy or user-connected GCP account.
-    # TODO: Remove monkeypatching altogether and move to using a Kaggle library for Data Proxy and
-    # KaggleKernelCredentials with vanilla bq client for connected account.
+    # Deprecated in favor of Kaggle.DataProxyClient().
+    # TODO: Remove this once uses have migrated to that new interface.
     bq_client = bigquery.Client
     bigquery.Client = lambda *args, **kwargs:  monkeypatch_bq(
         bq_client, *args, **kwargs)
diff --git a/tests/test_bigquery.py b/tests/test_bigquery.py
index b183859e..25f334ad 100644
--- a/tests/test_bigquery.py
+++ b/tests/test_bigquery.py
@@ -8,7 +8,7 @@
 
 from google.cloud import bigquery
 from google.auth.exceptions import DefaultCredentialsError
-from kaggle import KaggleKernelCredentials, kaggle_bq_client
+from kaggle import KaggleKernelCredentials, PublicBigqueryClient
 
 
 class TestBigQuery(unittest.TestCase):
@@ -46,7 +46,7 @@ def test_proxy_using_library(self):
         env = EnvironmentVarGuard()
         env.unset('KAGGLE_BQ_USER_JWT')
         with env:
-            client = kaggle_bq_client()
+            client = PublicBigqueryClient()
             self._test_proxy(client, should_use_proxy=True)
 
     def test_proxy_no_project(self):

From 69dbd81cbb09920bac0550669410423fc35603a7 Mon Sep 17 00:00:00 2001
From: Jonathan Larkin <jonathan.r.larkin@gmail.com>
Date: Fri, 11 Jan 2019 07:59:33 -0500
Subject: [PATCH 0529/1660] Remove unnecessary file

---
 tests/test_pykalman.py~ | 47 -----------------------------------------
 1 file changed, 47 deletions(-)
 delete mode 100644 tests/test_pykalman.py~

diff --git a/tests/test_pykalman.py~ b/tests/test_pykalman.py~
deleted file mode 100644
index 71d9868b..00000000
--- a/tests/test_pykalman.py~
+++ /dev/null
@@ -1,47 +0,0 @@
-import unittest
-import numpy as np
-from pykalman import KalmanFilter
-from pykalman import UnscentedKalmanFilter
-from pykalman.sqrt import CholeskyKalmanFilter, AdditiveUnscentedKalmanFilter
-
-class TestPyKalman(unittest.TestCase):
-    def test_kalman_filter(self):
-        kf = KalmanFilter(transition_matrices = [[1, 1], [0, 1]], observation_matrices = [[0.1, 0.5], [-0.3, 0.0]])
-        measurements = np.asarray([[1,0], [0,0], [0,1]])  # 3 observations
-        kf = kf.em(measurements, n_iter=5)
-        (filtered_state_means, filtered_state_covariances) = kf.filter(measurements)
-        (smoothed_state_means, smoothed_state_covariances) = kf.smooth(measurements)
-        return filtered_state_means
-       
-    def test_kalman_missing(self):
-        kf = KalmanFilter(transition_matrices = [[1, 1], [0, 1]], observation_matrices = [[0.1, 0.5], [-0.3, 0.0]])
-        measurements = np.asarray([[1,0], [0,0], [0,1]])  # 3 observations
-        measurements = np.ma.asarray(measurements)
-        measurements[1] = ma.masked
-        kf = kf.em(measurements, n_iter=5)
-        (filtered_state_means, filtered_state_covariances) = kf.filter(measurements)
-        (smoothed_state_means, smoothed_state_covariances) = kf.smooth(measurements)
-        return filtered_state_means
-
-    def test_unscented_kalman(self):
-        ukf = UnscentedKalmanFilter(lambda x, w: x + np.sin(w), lambda x, v: x + v, transition_covariance=0.1)
-        (filtered_state_means, filtered_state_covariances) = ukf.filter([0, 1, 2])
-        (smoothed_state_means, smoothed_state_covariances) = ukf.smooth([0, 1, 2])
-        return filtered_state_means
-
-    def test_online_update(self):
-        kf = KalmanFilter(transition_matrices = [[1, 1], [0, 1]], observation_matrices = [[0.1, 0.5], [-0.3, 0.0]])
-        measurements = np.asarray([[1,0], [0,0], [0,1]])  # 3 observations
-        measurements = ma.asarray(measurements)
-        measurements[1] = ma.masked   # measurement at timestep 1 is unobserved
-        kf = kf.em(measurements, n_iter=5)
-        (filtered_state_means, filtered_state_covariances) = kf.filter(measurements)
-        for t in range(1, 3):
-            filtered_state_means[t], filtered_state_covariances[t] = \
-                kf.filter_update(filtered_state_means[t-1], filtered_state_covariances[t-1], measurements[t])
-        return filtered_state_means
-
-    def test_robust_sqrt(self):
-        kf = CholeskyKalmanFilter(transition_matrices = [[1, 1], [0, 1]], observation_matrices = [[0.1, 0.5], [-0.3, 0.0]])
-        ukf = AdditiveUnscentedKalmanFilter(lambda x, w: x + np.sin(w), lambda x, v: x + v, observation_covariance=0.1)
-        

From 2653b37c15556996c964fc6cd33197030c4a4228 Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Fri, 11 Jan 2019 21:37:13 -0500
Subject: [PATCH 0530/1660] Rename kaggle.py to kaggle_gcp.py which will then
 be imported into the kaggle namespace by the Worker.

---
 Dockerfile                           | 2 +-
 patches/{kaggle.py => kaggle_gcp.py} | 5 +----
 patches/sitecustomize.py             | 2 +-
 tests/test_bigquery.py               | 2 +-
 4 files changed, 4 insertions(+), 7 deletions(-)
 rename patches/{kaggle.py => kaggle_gcp.py} (85%)

diff --git a/Dockerfile b/Dockerfile
index 5297c4a5..ae82cd74 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -505,7 +505,7 @@ RUN pip install --upgrade dask && \
 
 # Add BigQuery client proxy settings
 ENV PYTHONUSERBASE "/root/.local"
-ADD patches/kaggle.py /root/.local/lib/python3.6/site-packages/kaggle.py
+ADD patches/kaggle_gcp.py /root/.local/lib/python3.6/site-packages/kaggle_gcp.py
 ADD patches/sitecustomize.py /root/.local/lib/python3.6/site-packages/sitecustomize.py
 
 # Set backend for matplotlib
diff --git a/patches/kaggle.py b/patches/kaggle_gcp.py
similarity index 85%
rename from patches/kaggle.py
rename to patches/kaggle_gcp.py
index 83837282..fee25dbc 100644
--- a/patches/kaggle.py
+++ b/patches/kaggle_gcp.py
@@ -38,10 +38,7 @@ class PublicBigqueryClient(bigquery.client.Client):
     client = PublicBigqueryClient()
     """
 
-    def __init__(self, project=None):
-        if project:
-            raise Exception("In order to query a private BigQuery project, please connect a GCP account. "
-                            "Otherwise do not specify a project to use Kaggle's public dataset BigQuery integration.")
+    def __init__(self):
         data_proxy_project = os.getenv("KAGGLE_DATA_PROXY_PROJECT")
         anon_credentials = credentials.AnonymousCredentials()
         anon_credentials.refresh = lambda *args: None
diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index 6e18745a..70fba8f4 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -6,7 +6,7 @@
     from google.auth import credentials
     from google.cloud import bigquery
     from google.cloud.bigquery._http import Connection
-    from kaggle import PublicBigqueryClient
+    from kaggle_gcp import PublicBigqueryClient
 
     def monkeypatch_bq(bq_client, *args, **kwargs):
         data_proxy_project = os.getenv("KAGGLE_DATA_PROXY_PROJECT")
diff --git a/tests/test_bigquery.py b/tests/test_bigquery.py
index 25f334ad..03184f0d 100644
--- a/tests/test_bigquery.py
+++ b/tests/test_bigquery.py
@@ -8,7 +8,7 @@
 
 from google.cloud import bigquery
 from google.auth.exceptions import DefaultCredentialsError
-from kaggle import KaggleKernelCredentials, PublicBigqueryClient
+from kaggle_gcp import KaggleKernelCredentials, PublicBigqueryClient
 
 
 class TestBigQuery(unittest.TestCase):

From 96ed865c2f24c3544e31034ebd13f2729deb4aae Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Fri, 11 Jan 2019 21:48:29 -0500
Subject: [PATCH 0531/1660] Add todo and bigquery client issue I created.

---
 patches/kaggle_gcp.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index fee25dbc..a2ea1154 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -45,4 +45,5 @@ def __init__(self):
         super().__init__(
             project=data_proxy_project, credentials=anon_credentials
         )
+        # TODO: Remove this once https://github.com/googleapis/google-cloud-python/issues/7122 is implemented.
         self._connection = _DataProxyConnection(self)

From 411b6548d2ccc49e323b34ce8ace79ba8d330229 Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Tue, 15 Jan 2019 12:02:18 -0500
Subject: [PATCH 0532/1660] Add comment about kaggle_gcp module path.

---
 patches/sitecustomize.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index 70fba8f4..f7f78e22 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -6,6 +6,8 @@
     from google.auth import credentials
     from google.cloud import bigquery
     from google.cloud.bigquery._http import Connection
+    # TODO: Update this to the correct kaggle.gcp path once we no longer inject modules
+    # from the worker.
     from kaggle_gcp import PublicBigqueryClient
 
     def monkeypatch_bq(bq_client, *args, **kwargs):

From e3ed97aec39ff9e0def5b8e850f8059ec6deff50 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 15 Jan 2019 10:32:30 -0800
Subject: [PATCH 0533/1660] Pin numpy

skimage is not compatible with the latest version of numpy (1.16) yet. Pining numpy to the 1.15 version for now.
---
 Dockerfile | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 61b370f3..2033dc3b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -143,8 +143,9 @@ RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
     # MXNet
     pip install mxnet && \
     # h2o (requires java)
-    # Upgrade numpy with pip to avoid install errors
-    pip install --upgrade numpy && \
+    # Some packages such as sk_image are not compatible with the 1.16 version yet.
+    # See: https://github.com/scikit-image/scikit-image/issues/3551
+    pip install numpy==1.15.4 && \
     # requires java
     apt-get install -y default-jdk && \
     cd /usr/local/src && mkdir h2o && cd h2o && \
@@ -404,7 +405,6 @@ RUN pip install bcolz && \
     pip install nbconvert && \
     pip install nbformat && \
     pip install notebook==5.5.0 && \
-    pip install numpy && \
     pip install olefile && \
     pip install opencv-python && \
     pip install --upgrade pandas && \

From e6d8c2bd225deba3c5060d87186418b416e61bb4 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 15 Jan 2019 20:24:50 -0800
Subject: [PATCH 0534/1660] Leave the numpy version from anaconda (1.15.4)

The 1.15.4 version in pip is incompatible with cartopy which includes some compiled code:
```
ValueError: numpy.ufunc size changed, may indicate binary incompatibility. Expected 216 from C header, got 192 from PyObject
```
---
 Dockerfile | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 9c2cd800..d481395e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -143,9 +143,6 @@ RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
     # MXNet
     pip install mxnet && \
     # h2o (requires java)
-    # Some packages such as sk_image are not compatible with the 1.16 version yet.
-    # See: https://github.com/scikit-image/scikit-image/issues/3551
-    pip install numpy==1.15.4 && \
     # requires java
     apt-get install -y default-jdk && \
     cd /usr/local/src && mkdir h2o && cd h2o && \

From a766f9ea48f603416820e01cc5ae3a364c2fd945 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 16 Jan 2019 17:39:51 +0000
Subject: [PATCH 0535/1660] Upgrade numpy and scikit-image

---
 Dockerfile | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index d481395e..7ea958ed 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -24,6 +24,7 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
 # Fix to install tf 1.10:: Downgrade python 3.7->3.6.6 and downgrade Pandas 0.23.3->0.23.2
 RUN conda install -y python=3.6.6 && \
     pip install pandas==0.23.2 && \
+    pip install --upgrade numpy && \
     # Another fix for TF 1.10 https://github.com/tensorflow/tensorflow/issues/21518
     pip install keras_applications==1.0.4 --no-deps && \
     pip install keras_preprocessing==1.0.2 --no-deps && \
@@ -116,6 +117,9 @@ RUN apt-get install -y libfreetype6-dev && \
     vader_lexicon verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe && \
     # Stop-words
     pip install stop-words && \
+    # latest scikit-image is not compatible with numpy 1.16.0.
+    # remove the pin once a new version is released (>0.14.1)
+    pip install git+git://github.com/scikit-image/scikit-image@31d9ecc2f0d8dd3373af3e80b2dcc7887ff2ca24 && \
     /tmp/clean-layer.sh
 
 # Make sure the dynamic linker finds the right libstdc++

From 8c988edf40f0674935c376a5fb19eb39f25b73ca Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 16 Jan 2019 12:49:23 -0800
Subject: [PATCH 0536/1660] upgrade numpy later in the build process

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 7ea958ed..44f96b0b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -24,7 +24,6 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
 # Fix to install tf 1.10:: Downgrade python 3.7->3.6.6 and downgrade Pandas 0.23.3->0.23.2
 RUN conda install -y python=3.6.6 && \
     pip install pandas==0.23.2 && \
-    pip install --upgrade numpy && \
     # Another fix for TF 1.10 https://github.com/tensorflow/tensorflow/issues/21518
     pip install keras_applications==1.0.4 --no-deps && \
     pip install keras_preprocessing==1.0.2 --no-deps && \
@@ -146,6 +145,7 @@ RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
     pip install cartopy && \
     # MXNet
     pip install mxnet && \
+    pip install --upgrade numpy && \
     # h2o (requires java)
     # requires java
     apt-get install -y default-jdk && \

From 8805a1b74c0ee6e4ad92031172e79589dafdf763 Mon Sep 17 00:00:00 2001
From: corochann <acc1ssnn9terias@gmail.com>
Date: Sat, 19 Jan 2019 17:07:28 +0900
Subject: [PATCH 0537/1660] ignore .idea for pycharm users

---
 .gitignore | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/.gitignore b/.gitignore
index 7e99e367..44dbcd64 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1 +1,2 @@
-*.pyc
\ No newline at end of file
+*.pyc
+.idea/

From d957147611b1c1bf343557b08ab918aa183b11f1 Mon Sep 17 00:00:00 2001
From: corochann <acc1ssnn9terias@gmail.com>
Date: Sat, 19 Jan 2019 17:21:40 +0900
Subject: [PATCH 0538/1660] Add chainer-chemistry and test

---
 Dockerfile                      |  1 +
 tests/test_chainer_chemistry.py | 19 +++++++++++++++++++
 2 files changed, 20 insertions(+)
 create mode 100644 tests/test_chainer_chemistry.py

diff --git a/Dockerfile b/Dockerfile
index 44f96b0b..8620886a 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -478,6 +478,7 @@ RUN pip install flashtext && \
     pip install tsfresh && \
     pip install pymagnitude && \
     pip install pykalman && \
+    pip install chainer-chemistry && \
     /tmp/clean-layer.sh
 
 # Pin Vowpal Wabbit v8.6.0 because 8.6.1 does not build or install successfully
diff --git a/tests/test_chainer_chemistry.py b/tests/test_chainer_chemistry.py
new file mode 100644
index 00000000..c1e99838
--- /dev/null
+++ b/tests/test_chainer_chemistry.py
@@ -0,0 +1,19 @@
+import numpy
+import unittest
+
+from chainer import cuda
+
+from chainer_chemistry.models.mlp import MLP
+
+
+class TestChainerChemistry(unittest.TestCase):
+
+    def test_mlp(self):
+        batch_size = 2
+        input_dim = 16
+        out_dim = 4
+
+        model = MLP(out_dim=out_dim)
+        data = numpy.random.rand(batch_size, input_dim).astype(numpy.float32)
+        y_actual = cuda.to_cpu(model(data).data)
+        assert y_actual.shape == (batch_size, out_dim)

From b51d13cbbe50be0733f8c196cfbbbae67c491e77 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 29 Jan 2019 13:30:22 -0800
Subject: [PATCH 0539/1660] Remove pin for scikit-image

`scikit-image` 0.14.2` was released which fixes a compatibility issue with `numpy` 1.16:
https://pypi.org/project/scikit-image/#history
---
 Dockerfile | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 44f96b0b..58ad0a05 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -116,9 +116,7 @@ RUN apt-get install -y libfreetype6-dev && \
     vader_lexicon verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe && \
     # Stop-words
     pip install stop-words && \
-    # latest scikit-image is not compatible with numpy 1.16.0.
-    # remove the pin once a new version is released (>0.14.1)
-    pip install git+git://github.com/scikit-image/scikit-image@31d9ecc2f0d8dd3373af3e80b2dcc7887ff2ca24 && \
+    pip install scikit-image && \
     /tmp/clean-layer.sh
 
 # Make sure the dynamic linker finds the right libstdc++

From 5fe2113d1299f2ca65e6992efc4aa2043960144d Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 29 Jan 2019 16:56:16 -0800
Subject: [PATCH 0540/1660] Pin pip to 18.1

cartopy fails to install with pip 19.0.1.
---
 Dockerfile | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 58ad0a05..fa372c89 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -16,7 +16,10 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     apt-get update && apt-get install -y build-essential unzip && \
     # https://stackoverflow.com/a/46498173
     conda update -y conda && conda update -y python && \
-    pip install --upgrade pip && \
+    # cartopy package fails to install with the latest version of pip (19.0.1) with:
+    # "ModuleNotFoundError: No module named 'versioneer'"
+    # `versioneer` is checked in the cartopy package, the sys path seems to differ with the new version of pip.
+    pip install pip==18.1 && \
     apt-get -y install cmake && \
     /tmp/clean-layer.sh
 

From 8ac8bd207c8db5dac0e773017c3d980df9224135 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 30 Jan 2019 01:37:59 +0000
Subject: [PATCH 0541/1660] install keras and keras-rl from pip

---
 Dockerfile            | 10 ++--------
 tests/test_imports.py |  1 +
 2 files changed, 3 insertions(+), 8 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index fa372c89..1b7a6255 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -67,14 +67,8 @@ RUN apt-get install -y libfreetype6-dev && \
     pip install xgboost && \
     pip install lightgbm && \
     pip install git+git://github.com/Lasagne/Lasagne.git && \
-    #keras
-    cd /usr/local/src && mkdir keras && cd keras && \
-    git clone --depth 1 https://github.com/fchollet/keras.git && \
-    cd keras && python setup.py install && \
-    #keras-rl
-    cd /usr/local/src && mkdir keras-rl && cd keras-rl && \
-    git clone --depth 1 https://github.com/matthiasplappert/keras-rl.git && \
-    cd keras-rl && python setup.py install && \
+    pip install keras && \
+    pip install keras-rl && \
     #keras-rcnn
     pip install git+https://github.com/broadinstitute/keras-rcnn && \
     #neon
diff --git a/tests/test_imports.py b/tests/test_imports.py
index e099063c..c14e70c6 100644
--- a/tests/test_imports.py
+++ b/tests/test_imports.py
@@ -5,3 +5,4 @@ class TestImport(unittest.TestCase):
     def test_basic(self):
         import bq_helper
         import cleverhans
+        from rl.agents.dqn import DQNAgent

From 428c6e9e46f29661dfbfdbca52403d5984408d8a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 30 Jan 2019 02:25:53 +0000
Subject: [PATCH 0542/1660] pin fitter to 1.0.9

---
 Dockerfile | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 1b7a6255..db9bb184 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -239,7 +239,10 @@ RUN pip install --upgrade mpld3 && \
     pip install git+https://github.com/hyperopt/hyperopt.git && \
     # tflean. Deep learning library featuring a higher-level API for TensorFlow. http://tflearn.org
     pip install git+https://github.com/tflearn/tflearn.git && \
-    pip install fitter && \
+    # fitter 1.1.10 is broken. Fails at setup with:
+    # install_requires = open("requirements.txt").read(),
+    # FileNotFoundError: [Errno 2] No such file or directory: 'requirements.txt'
+    pip install fitter==1.0.9 && \
     pip install langid && \
     # Delorean. Useful for dealing with datetime
     pip install delorean && \

From 976b4cf38bdb11e78faaac470244a7e43e468ca0 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 30 Jan 2019 04:49:45 +0000
Subject: [PATCH 0543/1660] install latest version of skikit-image

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index db9bb184..99c9c0f4 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -113,7 +113,7 @@ RUN apt-get install -y libfreetype6-dev && \
     vader_lexicon verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe && \
     # Stop-words
     pip install stop-words && \
-    pip install scikit-image && \
+    pip install --upgrade scikit-image && \
     /tmp/clean-layer.sh
 
 # Make sure the dynamic linker finds the right libstdc++

From 46200e1ace50df587182e9ae2d5142c8326494cf Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 30 Jan 2019 04:54:18 +0000
Subject: [PATCH 0544/1660] pin pandas to fix tsfresh

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 99c9c0f4..3d18dc1b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -406,7 +406,8 @@ RUN pip install bcolz && \
     pip install notebook==5.5.0 && \
     pip install olefile && \
     pip install opencv-python && \
-    pip install --upgrade pandas && \
+    # tsfresh is not yet compatible with pandas 0.24.0
+    pip install pandas==0.23.4 && \
     pip install pandas_summary && \
     pip install pandocfilters && \
     pip install pexpect && \

From 641c8ac040802c327ba2127b92f26dee6350ce07 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 30 Jan 2019 04:59:26 +0000
Subject: [PATCH 0545/1660] pin geoviews

---
 Dockerfile | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 3d18dc1b..997714f5 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -294,7 +294,9 @@ RUN pip install fancyimpute && \
     # See: https://github.com/facebook/prophet/issues/775
     pip install fbprophet==0.3.post2 && \
     pip install holoviews && \
-    pip install geoviews && \
+    # 1.6.2 is not currently supported by the version of matplotlib we are using.
+    # See other comments about why matplotlib is pinned.
+    pip install geoviews==1.6.1 && \
     pip install hypertools && \
     # Nxviz has been causing an installation issue by trying unsuccessfully to remove setuptools.
     #pip install nxviz && \

From a4b1920e5c482a46a1a166f0d15f447d6ce1810d Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 30 Jan 2019 09:00:41 -0800
Subject: [PATCH 0546/1660] Pin flake8 to a specific version

---
 Dockerfile | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 997714f5..d1635525 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -71,6 +71,10 @@ RUN apt-get install -y libfreetype6-dev && \
     pip install keras-rl && \
     #keras-rcnn
     pip install git+https://github.com/broadinstitute/keras-rcnn && \
+    # version 3.7.1 adds a dependency on entrypoints > 3. This causes a reinstall but fails because
+    # it is a distutils package and can't be uninstalled. Once the anaconda image in updated, this
+    # pin should be removed.
+    pip install flake8==3.6.0 && \
     #neon
     cd /usr/local/src && \
     git clone --depth 1 https://github.com/NervanaSystems/neon.git && \

From d52c6f94e5431758786e78c44efb71661ff65ada Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Thu, 31 Jan 2019 12:24:16 -0800
Subject: [PATCH 0547/1660] Adds UserSecretsClient library to communicate with
 WebTier UserSecrets service.

---
 .gitignore                 |  3 +-
 Dockerfile                 |  1 +
 patches/kaggle_secrets.py  | 59 +++++++++++++++++++++++++
 test                       |  2 +
 tests/test_user_secrets.py | 88 ++++++++++++++++++++++++++++++++++++++
 5 files changed, 152 insertions(+), 1 deletion(-)
 create mode 100644 patches/kaggle_secrets.py
 create mode 100644 tests/test_user_secrets.py

diff --git a/.gitignore b/.gitignore
index 7e99e367..6f442785 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1 +1,2 @@
-*.pyc
\ No newline at end of file
+*.pyc
+.vscode
\ No newline at end of file
diff --git a/Dockerfile b/Dockerfile
index d1635525..cbcef71b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -513,6 +513,7 @@ RUN pip install --upgrade dask && \
 # Add BigQuery client proxy settings
 ENV PYTHONUSERBASE "/root/.local"
 ADD patches/kaggle_gcp.py /root/.local/lib/python3.6/site-packages/kaggle_gcp.py
+ADD patches/kaggle_secrets.py /root/.local/lib/python3.6/site-packages/kaggle_secrets.py
 ADD patches/sitecustomize.py /root/.local/lib/python3.6/site-packages/sitecustomize.py
 
 # Set backend for matplotlib
diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
new file mode 100644
index 00000000..91267422
--- /dev/null
+++ b/patches/kaggle_secrets.py
@@ -0,0 +1,59 @@
+import json
+import os
+import urllib.request
+
+_KAGGLE_DEFAULT_URL_BASE = "https://www.kaggle.com"
+_KAGGLE_URL_BASE_ENV_VAR_NAME = "KAGGLE_URL_BASE"
+_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME = "KAGGLE_USER_SECRETS_TOKEN_KEY"
+
+
+class CredentialError(Exception):
+    pass
+
+
+class BackendError(Exception):
+    pass
+
+
+class UserSecretsClient():
+    GET_USER_SECRET_ENDPOINT = '/requests/GetUserSecretRequest'
+    BIGQUERY_PURPOSE_VALUE = 1
+
+    def __init__(self):
+        url_base_override = os.getenv(_KAGGLE_URL_BASE_ENV_VAR_NAME)
+        self.url_base = (url_base_override or _KAGGLE_DEFAULT_URL_BASE)
+        # Follow the OAuth 2.0 Authorization standard (https://tools.ietf.org/html/rfc6750)
+        jwt_token = os.getenv(_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME)
+        if jwt_token is None:
+            raise CredentialError(
+                f'A JWT Token is required to use the UserSecretsClient, but none found in environment variable {_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME}')
+        self.headers = {'Content-type': 'application/json',
+                        'Authorization': 'Bearer {}'.format(jwt_token)}
+
+    def _make_get_request(self, request_body):
+        request_params = urllib.parse.urlencode(request_body)
+        url = f'{self.url_base}{self.GET_USER_SECRET_ENDPOINT}?{request_params}'
+        req = urllib.request.Request(url, headers=self.headers)
+        with urllib.request.urlopen(req) as response:
+            response_json = json.loads(response.read())
+            return response_json
+
+    def getUserSecret(self, secret_label: str):
+        request_body = {
+            'SecretLabel': secret_label
+        }
+        response_json = self._make_get_request(request_body)
+        if 'Secret' not in response_json:
+            raise BackendError(
+                'Unexpected response from UserSecrets service.')
+        return response_json['Secret']
+
+    def getBigQueryAccessToken(self):
+        request_body = {
+            'Purpose': self.BIGQUERY_PURPOSE_VALUE
+        }
+        response_json = self._make_get_request(request_body)
+        if 'Secret' not in response_json:
+            raise BackendError(
+                'Unexpected response from UserSecrets service.')
+        return response_json['Secret']
diff --git a/test b/test
index fdc7f6b9..99453605 100755
--- a/test
+++ b/test
@@ -80,6 +80,8 @@ sleep 3
 docker kill jupyter_test && docker rm jupyter_test
 docker run --rm -t --read-only --net=none \
     -e HOME=/tmp -e KAGGLE_DATA_PROXY_TOKEN=test-key \
+    -e KAGGLE_USER_SECRETS_TOKEN_KEY=test-secrets-key \
+    -e KAGGLE_URL_BASE=http://127.0.0.1:8001 \
     -e KAGGLE_DATA_PROXY_URL=http://127.0.0.1:8000 \
     -e KAGGLE_DATA_PROXY_PROJECT=test \
     -v $PWD:/input:ro -v /tmp/python-build/working:/working \
diff --git a/tests/test_user_secrets.py b/tests/test_user_secrets.py
new file mode 100644
index 00000000..7e590e1a
--- /dev/null
+++ b/tests/test_user_secrets.py
@@ -0,0 +1,88 @@
+import json
+import os
+import threading
+import unittest
+from http.server import BaseHTTPRequestHandler, HTTPServer
+from test.support import EnvironmentVarGuard
+from urllib.parse import urlparse
+
+from google.auth.exceptions import DefaultCredentialsError
+from google.cloud import bigquery
+from kaggle_secrets import (_KAGGLE_URL_BASE_ENV_VAR_NAME,
+                            _KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME,
+                            CredentialError, UserSecretsClient)
+
+_TEST_JWT = 'test-secrets-key'
+
+
+class UserSecretsHTTPHandler(BaseHTTPRequestHandler):
+
+    def set_request(self):
+        raise NotImplementedError()
+    
+    def get_response(self):
+        raise NotImplementedError()
+
+    def do_HEAD(s):
+        s.send_response(200)
+
+    def do_GET(s):
+        s.set_request()
+        s.send_response(200)
+        s.send_header("Content-type", "application/json")
+        s.end_headers()
+        s.wfile.write(json.dumps(s.get_response()).encode("utf-8"))
+
+
+class TestUserSecrets(unittest.TestCase):
+    server_address = urlparse(os.getenv(_KAGGLE_URL_BASE_ENV_VAR_NAME))
+
+    def _test_client(self, client_func, expected_path, secret):
+        _request = {}
+
+        class AccessTokenHandler(UserSecretsHTTPHandler):
+            def set_request(self):
+                _request['path'] = self.path
+                _request['headers'] = self.headers
+            def get_response(self):
+                return {"Secret": secret}
+
+        env = EnvironmentVarGuard()
+        env.set(_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME, _TEST_JWT)
+        with env:
+            with HTTPServer((self.server_address.hostname, self.server_address.port), AccessTokenHandler) as httpd:
+                threading.Thread(target=httpd.serve_forever).start()
+
+                try:
+                    client_func()
+                finally:
+                    httpd.shutdown()
+
+                self.assertEqual(
+                    _request['path'], expected_path, msg="Fake server did not receive the right request from the UserSecrets client.")
+                self.assertTrue(
+                    any(
+                        k for k in _request['headers'] if k == "Authorization" and _request['headers'][k] == f'Bearer {_TEST_JWT}'), msg="Authorization header was missing from the UserSecrets request.")
+
+    def test_no_token_fails(self):
+        env = EnvironmentVarGuard()
+        env.unset(_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME)
+        with env:
+            with self.assertRaises(CredentialError):
+                client = UserSecretsClient()
+
+    def test_get_access_token_succeeds(self):
+        secret = '12345'
+        def call_get_access_token():
+            client = UserSecretsClient()
+            secret_response = client.getBigQueryAccessToken()
+            self.assertEqual(secret_response, secret)
+        self._test_client(call_get_access_token, '/requests/GetUserSecretRequest?Purpose=1', secret)
+
+    def test_get_user_secret_succeeds(self):
+        secret = '5678'
+        def call_get_access_token():
+            client = UserSecretsClient()
+            secret_response = client.getUserSecret('MY_SECRET')
+            self.assertEqual(secret_response, secret)
+        self._test_client(call_get_access_token, '/requests/GetUserSecretRequest?SecretLabel=MY_SECRET', secret)

From 5438d79b756de3f93382073b6b92dc135ab181ae Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Thu, 31 Jan 2019 20:41:24 -0800
Subject: [PATCH 0548/1660] Addresses nits from PR. Mostly naming and spaces.

---
 patches/kaggle_secrets.py  | 11 ++++++-----
 tests/test_user_secrets.py | 29 ++++++++++++++++++++---------
 2 files changed, 26 insertions(+), 14 deletions(-)

diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index 91267422..d52c25a9 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -21,12 +21,13 @@ class UserSecretsClient():
 
     def __init__(self):
         url_base_override = os.getenv(_KAGGLE_URL_BASE_ENV_VAR_NAME)
-        self.url_base = (url_base_override or _KAGGLE_DEFAULT_URL_BASE)
+        self.url_base = url_base_override or _KAGGLE_DEFAULT_URL_BASE
         # Follow the OAuth 2.0 Authorization standard (https://tools.ietf.org/html/rfc6750)
         jwt_token = os.getenv(_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME)
         if jwt_token is None:
             raise CredentialError(
-                f'A JWT Token is required to use the UserSecretsClient, but none found in environment variable {_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME}')
+                'A JWT Token is required to use the UserSecretsClient, '
+                f'but none found in environment variable {_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME}')
         self.headers = {'Content-type': 'application/json',
                         'Authorization': 'Bearer {}'.format(jwt_token)}
 
@@ -38,17 +39,17 @@ def _make_get_request(self, request_body):
             response_json = json.loads(response.read())
             return response_json
 
-    def getUserSecret(self, secret_label: str):
+    def get_user_secret(self, secret_label: str):
         request_body = {
             'SecretLabel': secret_label
         }
         response_json = self._make_get_request(request_body)
         if 'Secret' not in response_json:
             raise BackendError(
-                'Unexpected response from UserSecrets service.')
+                'Unexpected response from the service.')
         return response_json['Secret']
 
-    def getBigQueryAccessToken(self):
+    def get_bigquery_access_token(self):
         request_body = {
             'Purpose': self.BIGQUERY_PURPOSE_VALUE
         }
diff --git a/tests/test_user_secrets.py b/tests/test_user_secrets.py
index 7e590e1a..0086f859 100644
--- a/tests/test_user_secrets.py
+++ b/tests/test_user_secrets.py
@@ -19,7 +19,7 @@ class UserSecretsHTTPHandler(BaseHTTPRequestHandler):
 
     def set_request(self):
         raise NotImplementedError()
-    
+
     def get_response(self):
         raise NotImplementedError()
 
@@ -35,22 +35,24 @@ def do_GET(s):
 
 
 class TestUserSecrets(unittest.TestCase):
-    server_address = urlparse(os.getenv(_KAGGLE_URL_BASE_ENV_VAR_NAME))
+    SERVER_ADDRESS = urlparse(os.getenv(_KAGGLE_URL_BASE_ENV_VAR_NAME))
 
     def _test_client(self, client_func, expected_path, secret):
         _request = {}
 
         class AccessTokenHandler(UserSecretsHTTPHandler):
+
             def set_request(self):
                 _request['path'] = self.path
                 _request['headers'] = self.headers
+
             def get_response(self):
                 return {"Secret": secret}
 
         env = EnvironmentVarGuard()
         env.set(_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME, _TEST_JWT)
         with env:
-            with HTTPServer((self.server_address.hostname, self.server_address.port), AccessTokenHandler) as httpd:
+            with HTTPServer((self.SERVER_ADDRESS.hostname, self.SERVER_ADDRESS.port), AccessTokenHandler) as httpd:
                 threading.Thread(target=httpd.serve_forever).start()
 
                 try:
@@ -58,11 +60,16 @@ def get_response(self):
                 finally:
                     httpd.shutdown()
 
+                path, headers = _request['path'], _request['headers']
                 self.assertEqual(
-                    _request['path'], expected_path, msg="Fake server did not receive the right request from the UserSecrets client.")
+                    path,
+                    expected_path,
+                    msg="Fake server did not receive the right request from the UserSecrets client.")
                 self.assertTrue(
                     any(
-                        k for k in _request['headers'] if k == "Authorization" and _request['headers'][k] == f'Bearer {_TEST_JWT}'), msg="Authorization header was missing from the UserSecrets request.")
+                        k for k in headers
+                        if k == "Authorization" and headers[k] == f'Bearer {_TEST_JWT}'),
+                    msg="Authorization header was missing from the UserSecrets request.")
 
     def test_no_token_fails(self):
         env = EnvironmentVarGuard()
@@ -73,16 +80,20 @@ def test_no_token_fails(self):
 
     def test_get_access_token_succeeds(self):
         secret = '12345'
+
         def call_get_access_token():
             client = UserSecretsClient()
-            secret_response = client.getBigQueryAccessToken()
+            secret_response = client.get_bigquery_access_token()
             self.assertEqual(secret_response, secret)
-        self._test_client(call_get_access_token, '/requests/GetUserSecretRequest?Purpose=1', secret)
+        self._test_client(call_get_access_token,
+                          '/requests/GetUserSecretRequest?Purpose=1', secret)
 
     def test_get_user_secret_succeeds(self):
         secret = '5678'
+
         def call_get_access_token():
             client = UserSecretsClient()
-            secret_response = client.getUserSecret('MY_SECRET')
+            secret_response = client.get_user_secret('MY_SECRET')
             self.assertEqual(secret_response, secret)
-        self._test_client(call_get_access_token, '/requests/GetUserSecretRequest?SecretLabel=MY_SECRET', secret)
+        self._test_client(
+            call_get_access_token, '/requests/GetUserSecretRequest?SecretLabel=MY_SECRET', secret)

From b8ab09e9c06b40d5da23cb229c0d2d4b299f0010 Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Fri, 1 Feb 2019 14:10:11 -0800
Subject: [PATCH 0549/1660] Rename purpose to Target. Remove the general user
 secret case.

---
 patches/kaggle_secrets.py  | 24 +++++++++++-------------
 tests/test_user_secrets.py | 12 +-----------
 2 files changed, 12 insertions(+), 24 deletions(-)

diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index d52c25a9..24cc377f 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -1,3 +1,11 @@
+"""UserSecret client classes.
+
+This library adds support for communicating with the UserSecrets service,
+currently used for retrieving an access token for supported integrations
+(ie. BigQuery).
+
+"""
+
 import json
 import os
 import urllib.request
@@ -17,7 +25,7 @@ class BackendError(Exception):
 
 class UserSecretsClient():
     GET_USER_SECRET_ENDPOINT = '/requests/GetUserSecretRequest'
-    BIGQUERY_PURPOSE_VALUE = 1
+    BIGQUERY_TARGET_VALUE = 1
 
     def __init__(self):
         url_base_override = os.getenv(_KAGGLE_URL_BASE_ENV_VAR_NAME)
@@ -39,22 +47,12 @@ def _make_get_request(self, request_body):
             response_json = json.loads(response.read())
             return response_json
 
-    def get_user_secret(self, secret_label: str):
-        request_body = {
-            'SecretLabel': secret_label
-        }
-        response_json = self._make_get_request(request_body)
-        if 'Secret' not in response_json:
-            raise BackendError(
-                'Unexpected response from the service.')
-        return response_json['Secret']
-
     def get_bigquery_access_token(self):
         request_body = {
-            'Purpose': self.BIGQUERY_PURPOSE_VALUE
+            'Target': self.BIGQUERY_TARGET_VALUE
         }
         response_json = self._make_get_request(request_body)
         if 'Secret' not in response_json:
             raise BackendError(
-                'Unexpected response from UserSecrets service.')
+                'Unexpected response from the service.')
         return response_json['Secret']
diff --git a/tests/test_user_secrets.py b/tests/test_user_secrets.py
index 0086f859..7e21c146 100644
--- a/tests/test_user_secrets.py
+++ b/tests/test_user_secrets.py
@@ -86,14 +86,4 @@ def call_get_access_token():
             secret_response = client.get_bigquery_access_token()
             self.assertEqual(secret_response, secret)
         self._test_client(call_get_access_token,
-                          '/requests/GetUserSecretRequest?Purpose=1', secret)
-
-    def test_get_user_secret_succeeds(self):
-        secret = '5678'
-
-        def call_get_access_token():
-            client = UserSecretsClient()
-            secret_response = client.get_user_secret('MY_SECRET')
-            self.assertEqual(secret_response, secret)
-        self._test_client(
-            call_get_access_token, '/requests/GetUserSecretRequest?SecretLabel=MY_SECRET', secret)
+                          '/requests/GetUserSecretRequest?Target=1', secret)

From 01ffe6039a44311298824487dd5d48fb7e1385dc Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <roseberryv@gmail.com>
Date: Fri, 1 Feb 2019 17:00:07 -0800
Subject: [PATCH 0550/1660] R

---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 45f32577..299ebaf7 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -77,7 +77,7 @@ pipeline {
         slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} docker build>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
         sh '''#!/bin/bash
           set -exo pipefail
-          docker image prune -a -f # remove previously built image to prevent disk from filling up
+          docker image prune -f # remove previously built image to prevent disk from filling up
           ./build --gpu | ts
         '''
       }

From 703095118f44ffb059affaa008ea8d4d3d04b057 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 7 Feb 2019 14:36:53 -0800
Subject: [PATCH 0551/1660] Run the Jenkins pipeline 3x a week

---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 299ebaf7..27589992 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -1,4 +1,4 @@
-String cron_string = BRANCH_NAME == "master" ? "H 12 * * 1,3" : ""
+String cron_string = BRANCH_NAME == "master" ? "H 12 * * 1,3,5" : ""
 
 pipeline {
   agent { label 'ephemeral-linux' }

From bdb4d1e092e273f5f3f3e95161b8765b991d42b4 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 8 Feb 2019 00:45:43 +0000
Subject: [PATCH 0552/1660] Remove pin for keras_(applicatons|preprocessing)

---
 Dockerfile | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index cbcef71b..b72ad2dd 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -27,9 +27,6 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
 # Fix to install tf 1.10:: Downgrade python 3.7->3.6.6 and downgrade Pandas 0.23.3->0.23.2
 RUN conda install -y python=3.6.6 && \
     pip install pandas==0.23.2 && \
-    # Another fix for TF 1.10 https://github.com/tensorflow/tensorflow/issues/21518
-    pip install keras_applications==1.0.4 --no-deps && \
-    pip install keras_preprocessing==1.0.2 --no-deps && \
     /tmp/clean-layer.sh
 
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.

From 9b137a0ec9288794fe3beed84a50c2129b493b90 Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Sat, 9 Feb 2019 14:22:48 -0800
Subject: [PATCH 0553/1660] Adds better error handling to kaggle_secrets.py and
 calls UserSecretsClient from KaggleKernelCredentials

---
 patches/kaggle_gcp.py     | 14 ++++++++------
 patches/kaggle_secrets.py | 28 ++++++++++++++++------------
 2 files changed, 24 insertions(+), 18 deletions(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index a2ea1154..ce155d61 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -1,12 +1,13 @@
 import os
 from google.auth import credentials
+from google.auth.exceptions import RefreshError 
 from google.cloud import bigquery
 from google.cloud.bigquery._http import Connection
+from kaggle_secrets import UserSecretsClient
 
 
 class KaggleKernelCredentials(credentials.Credentials):
     """Custom Credentials used to authenticate using the Kernel's connected OAuth account.
-
     Example usage:
     client = bigquery.Client(project='ANOTHER_PROJECT',
                                 credentials=KaggleKernelCredentials())
@@ -14,9 +15,11 @@ class KaggleKernelCredentials(credentials.Credentials):
 
     def refresh(self, request):
         print("Calling Kaggle.UserSecrets to refresh token.")
-        # Set self.token and self.expiry here.
-        raise NotImplementedError(
-            "Private BigQuery integration is not yet implemented.")
+        try:
+            client = UserSecretsClient()
+            fresh_token = client.get_bigquery_access_token()
+        except Exception as e:
+            raise RefreshError('Unable to refresh access token.') from e
 
 
 class _DataProxyConnection(Connection):
@@ -32,7 +35,6 @@ def __init__(self, client):
 
 class PublicBigqueryClient(bigquery.client.Client):
     """A modified BigQuery client that routes requests using Kaggle's Data Proxy to provide free access to Public Datasets.
-
     Example usage:
     from kaggle import PublicBigqueryClient
     client = PublicBigqueryClient()
@@ -46,4 +48,4 @@ def __init__(self):
             project=data_proxy_project, credentials=anon_credentials
         )
         # TODO: Remove this once https://github.com/googleapis/google-cloud-python/issues/7122 is implemented.
-        self._connection = _DataProxyConnection(self)
+        self._connection = _DataProxyConnection(self)
\ No newline at end of file
diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index 24cc377f..36736f99 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -1,9 +1,7 @@
 """UserSecret client classes.
-
 This library adds support for communicating with the UserSecrets service,
 currently used for retrieving an access token for supported integrations
 (ie. BigQuery).
-
 """
 
 import json
@@ -12,7 +10,7 @@
 
 _KAGGLE_DEFAULT_URL_BASE = "https://www.kaggle.com"
 _KAGGLE_URL_BASE_ENV_VAR_NAME = "KAGGLE_URL_BASE"
-_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME = "KAGGLE_USER_SECRETS_TOKEN_KEY"
+_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME = "KAGGLE_USER_SECRETS_TOKEN"
 
 
 class CredentialError(Exception):
@@ -39,20 +37,26 @@ def __init__(self):
         self.headers = {'Content-type': 'application/json',
                         'Authorization': 'Bearer {}'.format(jwt_token)}
 
-    def _make_get_request(self, request_body):
-        request_params = urllib.parse.urlencode(request_body)
-        url = f'{self.url_base}{self.GET_USER_SECRET_ENDPOINT}?{request_params}'
-        req = urllib.request.Request(url, headers=self.headers)
-        with urllib.request.urlopen(req) as response:
-            response_json = json.loads(response.read())
-            return response_json
+    def _make_post_request(self, request_body):
+        url = f'{self.url_base}{self.GET_USER_SECRET_ENDPOINT}'
+        req = urllib.request.Request(url, headers=self.headers, data=bytes(
+            json.dumps(request_body), encoding="utf-8"))
+        try:
+            with urllib.request.urlopen(req) as response:
+                response_json = json.loads(response.read())
+                return response_json
+        except urllib.error.HTTPError as e:
+            if e.code == 401 or e.code == 403:
+                raise CredentialError(f'Service responded with error code {e.code}.'
+                                      ' Please ensure you have access to the resource.') from e
+            raise BackendError('Unexpected response from the service.') from e
 
     def get_bigquery_access_token(self):
         request_body = {
             'Target': self.BIGQUERY_TARGET_VALUE
         }
-        response_json = self._make_get_request(request_body)
+        response_json = self._make_post_request(request_body)
         if 'Secret' not in response_json:
             raise BackendError(
                 'Unexpected response from the service.')
-        return response_json['Secret']
+        return response_json['Secret']
\ No newline at end of file

From 51a3826628dac6b3e103cf3c366e5a94205b047c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Sun, 10 Feb 2019 17:35:52 -0800
Subject: [PATCH 0554/1660] keep pandas to version compatible with tsfresh

---
 Dockerfile | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index b72ad2dd..7b0704ce 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -24,9 +24,8 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     /tmp/clean-layer.sh
 
 # Tensorflow doesn't support python 3.7 yet. See https://github.com/tensorflow/tensorflow/issues/20517
-# Fix to install tf 1.10:: Downgrade python 3.7->3.6.6 and downgrade Pandas 0.23.3->0.23.2
+# Fix to install Tensorflow: Downgrade python 3.7->3.6.6.
 RUN conda install -y python=3.6.6 && \
-    pip install pandas==0.23.2 && \
     /tmp/clean-layer.sh
 
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
@@ -409,7 +408,7 @@ RUN pip install bcolz && \
     pip install notebook==5.5.0 && \
     pip install olefile && \
     pip install opencv-python && \
-    # tsfresh is not yet compatible with pandas 0.24.0
+    # b/124184516: tsfresh is not yet compatible with pandas 0.24.0
     pip install pandas==0.23.4 && \
     pip install pandas_summary && \
     pip install pandocfilters && \
@@ -476,7 +475,8 @@ RUN pip install flashtext && \
     pip install ggplot && \
     pip install cesium && \
     pip install rgf_python && \
-    pip install pytext-nlp && \
+    # b/124184516: latest version forces the use of incompatible pandas>0.24
+    pip install pytext-nlp==0.1.2 && \
     pip install tsfresh && \
     pip install pymagnitude && \
     pip install pykalman && \

From cb59011aa51089bfee832ad10282a55cb9a4e930 Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Mon, 11 Feb 2019 10:08:56 -0800
Subject: [PATCH 0555/1660] Add back spaces to end of file.

---
 patches/kaggle_gcp.py     | 2 +-
 patches/kaggle_secrets.py | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index ce155d61..f6f42baf 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -48,4 +48,4 @@ def __init__(self):
             project=data_proxy_project, credentials=anon_credentials
         )
         # TODO: Remove this once https://github.com/googleapis/google-cloud-python/issues/7122 is implemented.
-        self._connection = _DataProxyConnection(self)
\ No newline at end of file
+        self._connection = _DataProxyConnection(self)
diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index 36736f99..a7ded141 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -59,4 +59,4 @@ def get_bigquery_access_token(self):
         if 'Secret' not in response_json:
             raise BackendError(
                 'Unexpected response from the service.')
-        return response_json['Secret']
\ No newline at end of file
+        return response_json['Secret']

From ede9d48dbef8fec2ef2c78147562915b443f19bb Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Mon, 11 Feb 2019 14:35:57 -0800
Subject: [PATCH 0556/1660] Update test_user_secrets to expect a POST request
 instead of GET.

---
 tests/test_user_secrets.py | 14 ++++++++++----
 1 file changed, 10 insertions(+), 4 deletions(-)

diff --git a/tests/test_user_secrets.py b/tests/test_user_secrets.py
index 7e21c146..85a1568f 100644
--- a/tests/test_user_secrets.py
+++ b/tests/test_user_secrets.py
@@ -26,7 +26,7 @@ def get_response(self):
     def do_HEAD(s):
         s.send_response(200)
 
-    def do_GET(s):
+    def do_POST(s):
         s.set_request()
         s.send_response(200)
         s.send_header("Content-type", "application/json")
@@ -37,13 +37,15 @@ def do_GET(s):
 class TestUserSecrets(unittest.TestCase):
     SERVER_ADDRESS = urlparse(os.getenv(_KAGGLE_URL_BASE_ENV_VAR_NAME))
 
-    def _test_client(self, client_func, expected_path, secret):
+    def _test_client(self, client_func, expected_path, expected_body, secret):
         _request = {}
 
         class AccessTokenHandler(UserSecretsHTTPHandler):
 
             def set_request(self):
                 _request['path'] = self.path
+                content_len = int(self.headers.get('Content-Length'))
+                _request['body'] = json.loads(self.rfile.read(content_len))
                 _request['headers'] = self.headers
 
             def get_response(self):
@@ -60,11 +62,15 @@ def get_response(self):
                 finally:
                     httpd.shutdown()
 
-                path, headers = _request['path'], _request['headers']
+                path, headers, body = _request['path'], _request['headers'], _request['body']
                 self.assertEqual(
                     path,
                     expected_path,
                     msg="Fake server did not receive the right request from the UserSecrets client.")
+                self.assertEqual(
+                    body,
+                    expected_body,
+                    msg="Fake server did not receive the right body from the UserSecrets client.")
                 self.assertTrue(
                     any(
                         k for k in headers
@@ -86,4 +92,4 @@ def call_get_access_token():
             secret_response = client.get_bigquery_access_token()
             self.assertEqual(secret_response, secret)
         self._test_client(call_get_access_token,
-                          '/requests/GetUserSecretRequest?Target=1', secret)
+                          '/requests/GetUserSecretRequest', {'Target': 1}, secret)

From 6a8587b3c56e7b7003bc1b3680e0086c12863535 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 12 Feb 2019 02:27:23 +0000
Subject: [PATCH 0557/1660] Allow overriding target in diff script

---
 diff | 18 +++++++++++++++++-
 1 file changed, 17 insertions(+), 1 deletion(-)

diff --git a/diff b/diff
index 6e1be902..bcdaf003 100755
--- a/diff
+++ b/diff
@@ -4,16 +4,19 @@ set -e
 usage() {
 cat << EOF
 Usage: $0 [OPTIONS]
-Compare the locally built Docker image package versions against the prod image.
+Compare a given Docker image package versions against the prod image.
 
 Options:
     -g, --gpu       Compare GPU images.
+    -t, --target    The image to diff against the prod image.
+                    Default is the locally built image.
 EOF
 }
 
 
 BASE_IMAGE_TAG='gcr.io/kaggle-images/python:latest'
 TARGET_IMAGE_TAG='kaggle/python-build'
+TARGET_IMAGE_TAG_OVERRIDE=''
 
 while :; do
     case "$1" in 
@@ -25,6 +28,15 @@ while :; do
             BASE_IMAGE_TAG='gcr.io/kaggle-private-byod/python:latest'
             TARGET_IMAGE_TAG='kaggle/python-gpu-build'
             ;;
+        -t|--target)
+            if [[ -z "$2" ]]; then
+                usage
+                printf 'ERROR: No IMAGE specified after the %s flag.\n' "$1" >&2
+                exit
+            fi
+            TARGET_IMAGE_TAG_OVERRIDE="$2"
+            shift # skip the flag value
+            ;;
         -?*)
             usage
             printf 'ERROR: Unknown option: %s\n' "$1" >&2
@@ -37,6 +49,10 @@ while :; do
     shift
 done
 
+if [[ -n "$TARGET_IMAGE_TAG_OVERRIDE" ]]; then
+    TARGET_IMAGE_TAG="$TARGET_IMAGE_TAG_OVERRIDE"
+fi
+
 readonly BASE_IMAGE_TAG
 readonly TARGET_IMAGE_TAG
 

From a6e8cdd3ec22f9559a8cbe1fe91dedeaf694b870 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 13 Feb 2019 13:26:22 -0800
Subject: [PATCH 0558/1660] Tag @kernels-backend-ops on pipeline failure.

---
 Jenkinsfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 27589992..5e672761 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -15,6 +15,7 @@ pipeline {
     GIT_COMMIT_AUTHOR = sh(returnStdout: true, script:"git log --format='%an' -n 1 HEAD").trim()
     GIT_COMMIT_SUMMARY = "`<https://github.com/Kaggle/docker-python/commit/${GIT_COMMIT}|${GIT_COMMIT_SHORT}>` ${GIT_COMMIT_SUBJECT} - ${GIT_COMMIT_AUTHOR}"
     SLACK_CHANNEL = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"master\" ]]; then echo \"#kernelops\"; else echo \"#builds\"; fi").trim()
+    KERNELS_BACKEND_OPS_GROUP = "<@SC3L62QJK>"
   }
 
   stages {
@@ -147,7 +148,7 @@ pipeline {
 
   post {
     failure {
-      slackSend color: 'danger', message: "*<${env.BUILD_URL}console|${JOB_NAME} failed>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
+      slackSend color: 'danger', message: "*<${env.BUILD_URL}console|${JOB_NAME} failed>* ${GIT_COMMIT_SUMMARY} ${KERNELS_BACKEND_OPS_GROUP}", channel: env.SLACK_CHANNEL
     }
     success {
       slackSend color: 'good', message: "*<${env.BUILD_URL}console|${JOB_NAME} passed>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL

From 49a71ed91baf9e6b115cf40c49ecca2d3d6ca02a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 13 Feb 2019 13:26:58 -0800
Subject: [PATCH 0559/1660] Don't post to slack at every steps

---
 Jenkinsfile | 10 ----------
 1 file changed, 10 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 5e672761..fc957dfa 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -21,7 +21,6 @@ pipeline {
   stages {
     stage('Docker CPU Build') {
       steps {
-        slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} docker build>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
         sh '''#!/bin/bash
           set -exo pipefail
 
@@ -32,7 +31,6 @@ pipeline {
 
     stage('Push CPU Pretest Image') {
       steps {
-        slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} pushing pretest image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
         sh '''#!/bin/bash
           set -exo pipefail
 
@@ -44,7 +42,6 @@ pipeline {
 
     stage('Test CPU Image') {
       steps {
-        slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} test image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
         sh '''#!/bin/bash
           set -exo pipefail
 
@@ -56,7 +53,6 @@ pipeline {
 
     stage('Push CPU Image') {
       steps {
-        slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} pushing image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
         sh '''#!/bin/bash
           set -exo pipefail
 
@@ -75,7 +71,6 @@ pipeline {
       // `--runtime=nvidia` flag for the `docker run` command when GPU support is needed.
       agent { label 'ephemeral-linux-gpu' }
       steps {
-        slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} docker build>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
         sh '''#!/bin/bash
           set -exo pipefail
           docker image prune -f # remove previously built image to prevent disk from filling up
@@ -87,7 +82,6 @@ pipeline {
     stage('Push GPU Pretest Image') {
       agent { label 'ephemeral-linux-gpu' }
       steps {
-        slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} pushing pretest image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
         sh '''#!/bin/bash
           set -exo pipefail
 
@@ -100,7 +94,6 @@ pipeline {
     stage('Test GPU Image') {
       agent { label 'ephemeral-linux-gpu' }
       steps {
-        slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} test image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
         sh '''#!/bin/bash
           set -exo pipefail
 
@@ -113,7 +106,6 @@ pipeline {
     stage('Push GPU Image') {
       agent { label 'ephemeral-linux-gpu' }
       steps {
-        slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} pushing image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
         sh '''#!/bin/bash
           set -exo pipefail
 
@@ -127,7 +119,6 @@ pipeline {
       parallel {
         stage('CPU Diff') {
           steps {
-            slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} diff CPU image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
             sh '''#!/bin/bash
             ./diff
           '''
@@ -136,7 +127,6 @@ pipeline {
         stage('GPU Diff') {
           agent { label 'ephemeral-linux-gpu' }
           steps {
-            slackSend color: 'none', message: "*<${env.BUILD_URL}console|${JOB_NAME} diff GPU image>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
             sh '''#!/bin/bash
             ./diff --gpu
           '''

From c9a62408b448a0f7b30d39caef26758e53004aca Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 13 Feb 2019 18:13:43 -0800
Subject: [PATCH 0560/1660] Fix @kernels-backend-ops tagging

---
 Jenkinsfile | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index fc957dfa..2d999b95 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -15,7 +15,6 @@ pipeline {
     GIT_COMMIT_AUTHOR = sh(returnStdout: true, script:"git log --format='%an' -n 1 HEAD").trim()
     GIT_COMMIT_SUMMARY = "`<https://github.com/Kaggle/docker-python/commit/${GIT_COMMIT}|${GIT_COMMIT_SHORT}>` ${GIT_COMMIT_SUBJECT} - ${GIT_COMMIT_AUTHOR}"
     SLACK_CHANNEL = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"master\" ]]; then echo \"#kernelops\"; else echo \"#builds\"; fi").trim()
-    KERNELS_BACKEND_OPS_GROUP = "<@SC3L62QJK>"
   }
 
   stages {
@@ -138,7 +137,7 @@ pipeline {
 
   post {
     failure {
-      slackSend color: 'danger', message: "*<${env.BUILD_URL}console|${JOB_NAME} failed>* ${GIT_COMMIT_SUMMARY} ${KERNELS_BACKEND_OPS_GROUP}", channel: env.SLACK_CHANNEL
+      slackSend color: 'danger', message: "*<${env.BUILD_URL}console|${JOB_NAME} failed>* ${GIT_COMMIT_SUMMARY} @kernels-backend-ops", channel: env.SLACK_CHANNEL
     }
     success {
       slackSend color: 'good', message: "*<${env.BUILD_URL}console|${JOB_NAME} passed>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL

From fcdbd1810b5b936fd02b73c0808284a02b26b91a Mon Sep 17 00:00:00 2001
From: Toshihiko Yanase <toshihiko.yanase@gmail.com>
Date: Wed, 20 Feb 2019 16:38:59 +0900
Subject: [PATCH 0561/1660] Add optuna.

---
 Dockerfile           |  1 +
 tests/test_optuna.py | 17 +++++++++++++++++
 2 files changed, 18 insertions(+)
 create mode 100644 tests/test_optuna.py

diff --git a/Dockerfile b/Dockerfile
index 7b0704ce..a7aea34b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -480,6 +480,7 @@ RUN pip install flashtext && \
     pip install tsfresh && \
     pip install pymagnitude && \
     pip install pykalman && \
+    pip install optuna && \
     /tmp/clean-layer.sh
 
 # Pin Vowpal Wabbit v8.6.0 because 8.6.1 does not build or install successfully
diff --git a/tests/test_optuna.py b/tests/test_optuna.py
new file mode 100644
index 00000000..2b3764ea
--- /dev/null
+++ b/tests/test_optuna.py
@@ -0,0 +1,17 @@
+import unittest
+
+import optuna
+
+
+class TestOptuna(unittest.TestCase):
+
+    def test_study(self):
+
+        def objective(trial):
+            x = trial.suggest_uniform('x', -1., 1.)
+            return x ** 2
+
+        n_trials = 20
+        study = optuna.create_study()
+        study.optimize(objective, n_trials=n_trials)
+        self.assertEqual(len(study.trials), n_trials)

From e93e2fbd902b411e9bea7d09080bad090cedf61d Mon Sep 17 00:00:00 2001
From: Sergey Sokolov <sssokolo@amazon.com>
Date: Wed, 20 Feb 2019 13:25:26 -0800
Subject: [PATCH 0562/1660] Add MXNet-GPU and GluonCV & GluonNLP

---
 Dockerfile     | 2 ++
 gpu.Dockerfile | 3 +++
 2 files changed, 5 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 7b0704ce..738adbd1 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -141,6 +141,8 @@ RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
     # MXNet
     pip install mxnet && \
     pip install --upgrade numpy && \
+    pip install gluonnlp && \
+    pip install gluoncv && \
     # h2o (requires java)
     # requires java
     apt-get install -y default-jdk && \
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 89f2c0a2..15b2bf8a 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -52,6 +52,9 @@ RUN pip uninstall -y tensorflow && \
     conda install -y pytorch torchvision -c pytorch && \
     /tmp/clean-layer.sh
 
+RUN pip uninstall -y mxnet &&
+    pip install mxnet-cu92mkl
+
 # Install GPU-only packages
 RUN pip install pycuda && \
     pip install cupy-cuda92 && \

From d4dbd12b5111e1fba48419988e5ce8aaa6e4630a Mon Sep 17 00:00:00 2001
From: Sergey Sokolov <sssokolo@amazon.com>
Date: Wed, 20 Feb 2019 14:25:18 -0800
Subject: [PATCH 0563/1660] Remove MKL in case it is not supported by the host

---
 gpu.Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 15b2bf8a..5d6599b8 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -52,8 +52,8 @@ RUN pip uninstall -y tensorflow && \
     conda install -y pytorch torchvision -c pytorch && \
     /tmp/clean-layer.sh
 
-RUN pip uninstall -y mxnet &&
-    pip install mxnet-cu92mkl
+RUN pip uninstall -y mxnet && \
+    pip install mxnet-cu92
 
 # Install GPU-only packages
 RUN pip install pycuda && \

From 9fa062c64761500419bcedd4f14d3846a8b07465 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 20 Feb 2019 14:45:24 -0800
Subject: [PATCH 0564/1660] Install PyTorch for cuda 9

---
 gpu.Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 89f2c0a2..4ee26b6c 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -49,7 +49,7 @@ RUN pip uninstall -y tensorflow && \
     pip install /tmp/tensorflow_gpu/tensorflow*.whl && \
     rm -rf /tmp/tensorflow_gpu && \
     conda uninstall -y pytorch-cpu torchvision-cpu && \
-    conda install -y pytorch torchvision -c pytorch && \
+    conda install -y pytorch torchvision cudatoolkit=9.0 -c pytorch && \
     /tmp/clean-layer.sh
 
 # Install GPU-only packages

From 306e7e112c1fbdc256c2f536d5f75ac09927e787 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 20 Feb 2019 15:43:11 -0800
Subject: [PATCH 0565/1660] Install torch with cudatoolkit 9.2

---
 gpu.Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 4ee26b6c..534427e7 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -49,7 +49,7 @@ RUN pip uninstall -y tensorflow && \
     pip install /tmp/tensorflow_gpu/tensorflow*.whl && \
     rm -rf /tmp/tensorflow_gpu && \
     conda uninstall -y pytorch-cpu torchvision-cpu && \
-    conda install -y pytorch torchvision cudatoolkit=9.0 -c pytorch && \
+    conda install -y pytorch torchvision cudatoolkit=9.2 -c pytorch && \
     /tmp/clean-layer.sh
 
 # Install GPU-only packages

From e65f73e316c76562b91a99d7544882d3dd01afcc Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Wed, 20 Feb 2019 18:45:07 -0800
Subject: [PATCH 0566/1660] Move JWE to request body instead of header.

---
 Dockerfile                 |  1 -
 patches/kaggle_secrets.py  | 11 ++++++-----
 tests/test_user_secrets.py |  7 +------
 3 files changed, 7 insertions(+), 12 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 7b0704ce..808ae746 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -2,7 +2,6 @@ FROM gcr.io/kaggle-images/python-tensorflow-whl:1.12.0-py36 as tensorflow_whl
 FROM continuumio/anaconda3:5.2.0
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
-ADD patches/ /tmp/patches/
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
 
 # This is necessary for apt to access HTTPS sources
diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index a7ded141..919ab90b 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -29,16 +29,17 @@ def __init__(self):
         url_base_override = os.getenv(_KAGGLE_URL_BASE_ENV_VAR_NAME)
         self.url_base = url_base_override or _KAGGLE_DEFAULT_URL_BASE
         # Follow the OAuth 2.0 Authorization standard (https://tools.ietf.org/html/rfc6750)
-        jwt_token = os.getenv(_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME)
-        if jwt_token is None:
+        self.jwt_token = os.getenv(_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME)
+        if self.jwt_token is None:
             raise CredentialError(
                 'A JWT Token is required to use the UserSecretsClient, '
                 f'but none found in environment variable {_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME}')
-        self.headers = {'Content-type': 'application/json',
-                        'Authorization': 'Bearer {}'.format(jwt_token)}
+        self.headers = {'Content-type': 'application/json'}
 
-    def _make_post_request(self, request_body):
+    def _make_post_request(self, data):
         url = f'{self.url_base}{self.GET_USER_SECRET_ENDPOINT}'
+        request_body = dict(data)
+        request_body['JWE'] = self.jwt_token
         req = urllib.request.Request(url, headers=self.headers, data=bytes(
             json.dumps(request_body), encoding="utf-8"))
         try:
diff --git a/tests/test_user_secrets.py b/tests/test_user_secrets.py
index 85a1568f..bae71213 100644
--- a/tests/test_user_secrets.py
+++ b/tests/test_user_secrets.py
@@ -71,11 +71,6 @@ def get_response(self):
                     body,
                     expected_body,
                     msg="Fake server did not receive the right body from the UserSecrets client.")
-                self.assertTrue(
-                    any(
-                        k for k in headers
-                        if k == "Authorization" and headers[k] == f'Bearer {_TEST_JWT}'),
-                    msg="Authorization header was missing from the UserSecrets request.")
 
     def test_no_token_fails(self):
         env = EnvironmentVarGuard()
@@ -92,4 +87,4 @@ def call_get_access_token():
             secret_response = client.get_bigquery_access_token()
             self.assertEqual(secret_response, secret)
         self._test_client(call_get_access_token,
-                          '/requests/GetUserSecretRequest', {'Target': 1}, secret)
+                          '/requests/GetUserSecretRequest', {'Target': 1, 'JWE': _TEST_JWT}, secret)

From 2def008be77262eb78320883e8d971aea8025c9b Mon Sep 17 00:00:00 2001
From: Sergey Sokolov <sssokolo@amazon.com>
Date: Thu, 21 Feb 2019 17:24:13 -0800
Subject: [PATCH 0567/1660] Add tests to MXNet-GPU, GLuonNLP, GluonCV

---
 tests/test_mxnet.py | 37 +++++++++++++++++++++++++++++++++++++
 tests/text_mxnet.py |  9 ---------
 2 files changed, 37 insertions(+), 9 deletions(-)
 create mode 100644 tests/test_mxnet.py
 delete mode 100644 tests/text_mxnet.py

diff --git a/tests/test_mxnet.py b/tests/test_mxnet.py
new file mode 100644
index 00000000..59a3914e
--- /dev/null
+++ b/tests/test_mxnet.py
@@ -0,0 +1,37 @@
+import unittest
+from common import gpu_test
+
+import mxnet as mx
+from gluonnlp import Vocab
+from gluonnlp.data import count_tokens
+
+from gluoncv.data.transforms.image import imresize
+
+
+class TestMxNet(unittest.TestCase):
+    def test_array(self):    
+        x = mx.nd.array([[1, 2, 3], [4, 5, 6]])
+
+        self.assertEqual((2, 3), x.shape)
+
+    @gpu_test
+    def test_array_gpu(self):
+        x = mx.nd.array([2, 2, 2], ctx=mx.gpu(0))
+        y = mx.nd.array([1, 1, 1], ctx=mx.gpu(0))
+        self.assertEqual(3, ((x - y).sum().asscalar()))
+
+    def test_gluon_nlp(self):
+        # get corpus statistics
+        counter = count_tokens(['alpha', 'beta', 'gamma', 'beta'])
+        # create Vocab
+        vocab = Vocab(counter)
+        # find index based on token
+        self.assertEqual(4, vocab['beta'])
+
+    def test_gluon_cv(self):
+        # create fake RGB image of 300x300 of shape: Height x Width x Channel as OpenCV expects
+        img = mx.random.uniform(0, 255, (300, 300, 3)).astype('uint8')
+        # resize image to 200x200. This call uses OpenCV
+        # GluonCV is not of much use if OpenCV is not there or fails
+        img = imresize(img, 200, 200)
+        self.assertEqual((200, 200, 3), img.shape)
diff --git a/tests/text_mxnet.py b/tests/text_mxnet.py
deleted file mode 100644
index 8c9d0712..00000000
--- a/tests/text_mxnet.py
+++ /dev/null
@@ -1,9 +0,0 @@
-import unittest
-
-import mxnet as mx
-
-class TestMxNet(unittest.TestCase):
-    def test_array(self):    
-        x = mx.nd.array([[1, 2, 3], [4, 5, 6]])
-
-        self.assertEqual((2, 3), x.shape)

From 71e51d1387c934b42a0b6c0d7de645bee075d08a Mon Sep 17 00:00:00 2001
From: crawforc3 <crawforc3@gmail.com>
Date: Fri, 22 Feb 2019 07:00:06 -0800
Subject: [PATCH 0568/1660] Add tesseract and pytesseract

---
 Dockerfile | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 808ae746..ef0fe871 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -481,6 +481,11 @@ RUN pip install flashtext && \
     pip install pykalman && \
     /tmp/clean-layer.sh
 
+# Tesseract and pytesseract
+RUN apt-get install tesseract-ocr -y && \
+    pip install pytesseract
+ENV TESSERACT_PATH=/usr/bin/tesseract
+
 # Pin Vowpal Wabbit v8.6.0 because 8.6.1 does not build or install successfully
 RUN cd /usr/local/src && \
     git clone -b 8.6.0 https://github.com/JohnLangford/vowpal_wabbit.git && \

From 3b88789c4e935383e65f5a567ba59d20dfb31198 Mon Sep 17 00:00:00 2001
From: crawforc3 <crawforc3@gmail.com>
Date: Fri, 22 Feb 2019 07:01:58 -0800
Subject: [PATCH 0569/1660] Add clean-layer.sh to tesseract layer

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index ef0fe871..0938e285 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -483,7 +483,8 @@ RUN pip install flashtext && \
 
 # Tesseract and pytesseract
 RUN apt-get install tesseract-ocr -y && \
-    pip install pytesseract
+    pip install pytesseract && \
+    /tmp/clean-layer.sh
 ENV TESSERACT_PATH=/usr/bin/tesseract
 
 # Pin Vowpal Wabbit v8.6.0 because 8.6.1 does not build or install successfully

From 60d75811514bb6373965452ce374779ed28d4e78 Mon Sep 17 00:00:00 2001
From: crawforc3 <crawforc3@gmail.com>
Date: Fri, 22 Feb 2019 07:06:22 -0800
Subject: [PATCH 0570/1660] add pdf for pytesseract test

---
 tests/data/test.pdf | Bin 0 -> 18143 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 tests/data/test.pdf

diff --git a/tests/data/test.pdf b/tests/data/test.pdf
new file mode 100644
index 0000000000000000000000000000000000000000..0d1cfb5de7c4ba0b0643811c67cb2fbdf3ead2ce
GIT binary patch
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zez$PXveb&g$0qID*4|Z|d0@l;3z^dUbe?P9-sjIVx604R{>8zmQt!$o)x^|2g!KPO
zD%QG*OYU<s_UJcgd(vEPU81k+bFhGEnSsOw=1*J`pC*XBD{|W*7UVdOVds>VhaQ*q
z?Oz^LTzN9%m|aS*KudaOJMT?dyBDwH?JnPOz)VOO=?LY_6GL!Pq2`$<;G;~8fJaTx
v=(G|BCN;O~#ykv6lNrS^Pvby4GzEAZMPgA&MNw)Rmyw|vm#V6(zZ(|-LGCl*

literal 0
HcmV?d00001


From 98c658822cf6782ca0907ab7a68691922e701aa6 Mon Sep 17 00:00:00 2001
From: crawforc3 <crawforc3@gmail.com>
Date: Fri, 22 Feb 2019 13:06:39 -0800
Subject: [PATCH 0571/1660] Add unittest for pytesseract

---
 tests/test_pytesseract.py | 14 ++++++++++++++
 1 file changed, 14 insertions(+)
 create mode 100644 tests/test_pytesseract.py

diff --git a/tests/test_pytesseract.py b/tests/test_pytesseract.py
new file mode 100644
index 00000000..ef6bba09
--- /dev/null
+++ b/tests/test_pytesseract.py
@@ -0,0 +1,14 @@
+import unittest
+import io
+import pytesseract
+import numpy as np
+from wand.image import Image as wandimage
+
+class TestPytesseract(unittest.TestCase):
+    def test_tesseract(self):
+        # Open pdf with Wand
+        with wandimage(filename='/input/tests/data/test.pdf') as wand_image:
+            img_buffer = np.asarray(bytearray(wand_image.make_blob(format='png')), dtype='uint8')
+            bytesio = io.BytesIO(img_buffer)
+            test_string = pytesseract.image_to_string(PILImage.open(bytesio))
+            self.assertTrue(type(test_string) == str)

From cefa1c25a2377b39d9ec4522b9268d6bed2c6c73 Mon Sep 17 00:00:00 2001
From: crawforc3 <crawforc3@gmail.com>
Date: Fri, 22 Feb 2019 13:08:33 -0800
Subject: [PATCH 0572/1660] Add wand, pdf2image, PyPDF, pyocr

---
 Dockerfile | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 0938e285..203d47fc 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -481,9 +481,13 @@ RUN pip install flashtext && \
     pip install pykalman && \
     /tmp/clean-layer.sh
 
-# Tesseract and pytesseract
+# Tesseract and some associated wrappers
 RUN apt-get install tesseract-ocr -y && \
     pip install pytesseract && \
+    pip install wand && \
+    pip install pdf2image && \
+    pip install PyPDF && \
+    pip install pyocr && \
     /tmp/clean-layer.sh
 ENV TESSERACT_PATH=/usr/bin/tesseract
 

From cd4fcc4560e66dc31ed8c6b57c8ae72e951a7a29 Mon Sep 17 00:00:00 2001
From: crawforc3 <crawforc3@gmail.com>
Date: Fri, 22 Feb 2019 13:10:15 -0800
Subject: [PATCH 0573/1660] Change tesseract comment

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 203d47fc..00e1a451 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -481,7 +481,7 @@ RUN pip install flashtext && \
     pip install pykalman && \
     /tmp/clean-layer.sh
 
-# Tesseract and some associated wrappers
+# Tesseract and some associated utility packages
 RUN apt-get install tesseract-ocr -y && \
     pip install pytesseract && \
     pip install wand && \

From 504f8ba36991695d1664edcc5581fd28386ad8cd Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 26 Feb 2019 01:29:55 +0000
Subject: [PATCH 0574/1660] prevent mxnet from downgrading numpy

---
 gpu.Dockerfile | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 6435ad46..1100ac16 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -50,11 +50,11 @@ RUN pip uninstall -y tensorflow && \
     rm -rf /tmp/tensorflow_gpu && \
     conda uninstall -y pytorch-cpu torchvision-cpu && \
     conda install -y pytorch torchvision cudatoolkit=9.2 -c pytorch && \
+    pip uninstall -y mxnet && \
+    # b/126259508 --no-deps prevents numpy from being downgraded.
+    pip install --no-deps mxnet-cu92 && \
     /tmp/clean-layer.sh
 
-RUN pip uninstall -y mxnet && \
-    pip install mxnet-cu92
-
 # Install GPU-only packages
 RUN pip install pycuda && \
     pip install cupy-cuda92 && \

From d378a8f951060868710a45717ce6b8721da6327f Mon Sep 17 00:00:00 2001
From: Aurelio Agundez <aurelio@agundez.com>
Date: Tue, 26 Feb 2019 01:37:34 -0800
Subject: [PATCH 0575/1660] Add TensorBoard to Kaggle Kernels

---
 Dockerfile                      |  7 +++++
 patches/tensorboard/notebook.py | 49 +++++++++++++++++++++++++++++++++
 2 files changed, 56 insertions(+)
 create mode 100644 patches/tensorboard/notebook.py

diff --git a/Dockerfile b/Dockerfile
index 808ae746..5047fcc6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -512,5 +512,12 @@ ADD patches/kaggle_gcp.py /root/.local/lib/python3.6/site-packages/kaggle_gcp.py
 ADD patches/kaggle_secrets.py /root/.local/lib/python3.6/site-packages/kaggle_secrets.py
 ADD patches/sitecustomize.py /root/.local/lib/python3.6/site-packages/sitecustomize.py
 
+# TensorBoard Jupyter extension
+ENV JUPYTER_CONFIG_DIR "/root/.jupyter/"
+RUN pip install jupyter_tensorboard && \
+    jupyter serverextension enable jupyter_tensorboard && \
+    jupyter tensorboard enable
+ADD patches/tensorboard/notebook.py /opt/conda/lib/python3.6/site-packages/tensorboard/notebook.py
+
 # Set backend for matplotlib
 ENV MPLBACKEND "agg"
diff --git a/patches/tensorboard/notebook.py b/patches/tensorboard/notebook.py
new file mode 100644
index 00000000..4407494e
--- /dev/null
+++ b/patches/tensorboard/notebook.py
@@ -0,0 +1,49 @@
+"""%tensorboard line magic that patches TensorBoard's implementation to make use of Jupyter 
+TensorBoard server extention providing built-in proxying.
+
+Use:
+    %load_ext tensorboard.notebook
+    %tensorboard --logdir /logs
+"""
+
+import argparse
+import uuid
+
+from IPython.display import display, HTML, Javascript
+
+def _tensorboard_magic(line):
+    """Line magic function."""
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--logdir', default='/kaggle/working')
+    args = parser.parse_args(line.split())
+    
+    iframe_id = 'tensorboard-' + str(uuid.uuid4())
+        
+    html = """
+<script>
+    const req = {
+        method: 'POST',
+        contentType: 'application/json',
+        body: JSON.stringify({ 'logdir': '%s' }),
+        headers: { 'Content-Type': 'application/json' }
+    };
+
+    const baseUrl = Jupyter.notebook.base_url;
+
+    fetch(baseUrl + 'api/tensorboard', req)
+        .then(res => res.json())
+        .then(res => document.getElementById('%s').src = baseUrl + 'tensorboard/' + res.name);
+</script>
+
+<iframe id="%s" style="width: 100%%; height: 620px" frameBorder="0"></iframe>
+""" % (args.logdir, iframe_id, iframe_id)
+    
+    display(HTML(html))
+    
+def load_ipython_extension(ipython):
+    """IPython extention entry point."""
+    ipython.register_magic_function(
+        _tensorboard_magic,
+        magic_kind='line',
+        magic_name='tensorboard',
+    )
\ No newline at end of file

From eb7c4fa9a613b7c3339495a8a236cd7d68888c27 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 26 Feb 2019 02:28:14 +0000
Subject: [PATCH 0576/1660] Allow parallel branch builds

---
 Dockerfile     |  4 +++-
 Jenkinsfile    | 12 +++++++-----
 build          | 18 +++++++++++++++---
 gpu.Dockerfile |  4 +++-
 4 files changed, 28 insertions(+), 10 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index fa7ce624..6a06bb49 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,5 +1,7 @@
+ARG BASE_TAG=5.2.0
+
 FROM gcr.io/kaggle-images/python-tensorflow-whl:1.12.0-py36 as tensorflow_whl
-FROM continuumio/anaconda3:5.2.0
+FROM continuumio/anaconda3:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
diff --git a/Jenkinsfile b/Jenkinsfile
index 2d999b95..6460bbe6 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -15,6 +15,8 @@ pipeline {
     GIT_COMMIT_AUTHOR = sh(returnStdout: true, script:"git log --format='%an' -n 1 HEAD").trim()
     GIT_COMMIT_SUMMARY = "`<https://github.com/Kaggle/docker-python/commit/${GIT_COMMIT}|${GIT_COMMIT_SHORT}>` ${GIT_COMMIT_SUBJECT} - ${GIT_COMMIT_AUTHOR}"
     SLACK_CHANNEL = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"master\" ]]; then echo \"#kernelops\"; else echo \"#builds\"; fi").trim()
+    PRETEST_TAG = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"master\" ]]; then echo \"ci-pretest\"; else echo \"ci-${GIT_BRANCH}-pretest\"; fi").trim()
+    STAGING_TAG = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"master\" ]]; then echo \"staging\"; else echo \"${GIT_BRANCH}-staging\"; fi").trim()
   }
 
   stages {
@@ -34,7 +36,7 @@ pipeline {
           set -exo pipefail
 
           date
-          ./push ci-pretest
+          ./push ${PRETEST_TAG}
         '''
       }
     }
@@ -56,7 +58,7 @@ pipeline {
           set -exo pipefail
 
           date
-          ./push staging
+          ./push ${STAGING_TAG}
         '''
       }
     }
@@ -73,7 +75,7 @@ pipeline {
         sh '''#!/bin/bash
           set -exo pipefail
           docker image prune -f # remove previously built image to prevent disk from filling up
-          ./build --gpu | ts
+          ./build --gpu --base-image-tag ${STAGING_TAG} | ts
         '''
       }
     }
@@ -85,7 +87,7 @@ pipeline {
           set -exo pipefail
 
           date
-          ./push --gpu ci-pretest
+          ./push --gpu ${PRETEST_TAG}
         '''
       }
     }
@@ -109,7 +111,7 @@ pipeline {
           set -exo pipefail
 
           date
-          ./push --gpu staging
+          ./push --gpu ${STAGING_TAG}
         '''
       }
     }
diff --git a/build b/build
index f2a7af45..8a0fd51f 100755
--- a/build
+++ b/build
@@ -7,14 +7,16 @@ Usage: $0 [OPTIONS]
 Build a new Python Docker image.
 
 Options:
-    -g, --gpu       Build an image with GPU support.
-    -c, --use-cache Use layer cache when building a new image.
+    -g, --gpu                 Build an image with GPU support.
+    -c, --use-cache           Use layer cache when building a new image.
+    -b, --base-image-tag TAG  Base image tag. Defaults to value defined in DOCKERFILE.
 EOF
 }
 
 CACHE_FLAG='--no-cache'
 DOCKERFILE='Dockerfile'
 IMAGE_TAG='kaggle/python-build'
+BUILD_ARGS=''
 
 while :; do
     case "$1" in 
@@ -29,6 +31,15 @@ while :; do
         -c|--use-cache)
             CACHE_FLAG=''
             ;;
+        -b|--base-image-tag)
+            if [[ -z $2 ]]; then
+                usage
+                printf 'ERROR: No TAG specified after the %s flag.\n' "$1" >&2
+                exit
+            fi
+            BUILD_ARGS="--build-arg BASE_TAG=$2"
+            shift # skip the flag value
+            ;;
         -?*)
             usage
             printf 'ERROR: Unknown option: %s\n' "$1" >&2
@@ -44,6 +55,7 @@ done
 readonly CACHE_FLAG
 readonly DOCKERFILE
 readonly IMAGE_TAG
+readonly BUILD_ARGS
 
 set -x
-docker build --rm --pull $CACHE_FLAG -t "$IMAGE_TAG" -f "$DOCKERFILE" .
+docker build --rm --pull $CACHE_FLAG -t "$IMAGE_TAG" -f "$DOCKERFILE" $BUILD_ARGS .
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 1100ac16..75359360 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,6 +1,8 @@
+ARG BASE_TAG=staging
+
 FROM nvidia/cuda:9.2-cudnn7-devel-ubuntu16.04 AS nvidia
 FROM gcr.io/kaggle-images/python-tensorflow-whl:1.12.0-py36 as tensorflow_whl
-FROM gcr.io/kaggle-images/python:staging
+FROM gcr.io/kaggle-images/python:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
 

From d6ca2b0d9c4bca590a9d42126145885819f4c2fa Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 26 Feb 2019 02:39:23 +0000
Subject: [PATCH 0577/1660] Update PRETEST_TAG to avoid duplication

---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 6460bbe6..512b04a2 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -15,7 +15,7 @@ pipeline {
     GIT_COMMIT_AUTHOR = sh(returnStdout: true, script:"git log --format='%an' -n 1 HEAD").trim()
     GIT_COMMIT_SUMMARY = "`<https://github.com/Kaggle/docker-python/commit/${GIT_COMMIT}|${GIT_COMMIT_SHORT}>` ${GIT_COMMIT_SUBJECT} - ${GIT_COMMIT_AUTHOR}"
     SLACK_CHANNEL = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"master\" ]]; then echo \"#kernelops\"; else echo \"#builds\"; fi").trim()
-    PRETEST_TAG = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"master\" ]]; then echo \"ci-pretest\"; else echo \"ci-${GIT_BRANCH}-pretest\"; fi").trim()
+    PRETEST_TAG = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"master\" ]]; then echo \"ci-pretest\"; else echo \"${GIT_BRANCH}-pretest\"; fi").trim()
     STAGING_TAG = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"master\" ]]; then echo \"staging\"; else echo \"${GIT_BRANCH}-staging\"; fi").trim()
   }
 

From a16bc4b2de75c3467971383a945f7f5093e2fe2e Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Tue, 26 Feb 2019 14:37:22 -0800
Subject: [PATCH 0578/1660] Changes what kaggle_secrets expects to receive from
 Web Tier, looks for wasSuccessful field.

---
 patches/kaggle_secrets.py  | 9 ++++++---
 tests/test_user_secrets.py | 2 +-
 2 files changed, 7 insertions(+), 4 deletions(-)

diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index 919ab90b..54cab292 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -45,7 +45,10 @@ def _make_post_request(self, data):
         try:
             with urllib.request.urlopen(req) as response:
                 response_json = json.loads(response.read())
-                return response_json
+                if not response_json.get('wasSuccessful') or 'result' not in response_json:
+                    raise BackendError(
+                        'Unexpected response from the service.')
+                return response_json['result']
         except urllib.error.HTTPError as e:
             if e.code == 401 or e.code == 403:
                 raise CredentialError(f'Service responded with error code {e.code}.'
@@ -57,7 +60,7 @@ def get_bigquery_access_token(self):
             'Target': self.BIGQUERY_TARGET_VALUE
         }
         response_json = self._make_post_request(request_body)
-        if 'Secret' not in response_json:
+        if 'secret' not in response_json:
             raise BackendError(
                 'Unexpected response from the service.')
-        return response_json['Secret']
+        return response_json['secret']
diff --git a/tests/test_user_secrets.py b/tests/test_user_secrets.py
index bae71213..d24c8c2c 100644
--- a/tests/test_user_secrets.py
+++ b/tests/test_user_secrets.py
@@ -49,7 +49,7 @@ def set_request(self):
                 _request['headers'] = self.headers
 
             def get_response(self):
-                return {"Secret": secret}
+                return {'result': {'secret': secret, 'secretType': 'refreshToken', 'secretProvider': 'google'}, 'wasSuccessful': True}
 
         env = EnvironmentVarGuard()
         env.set(_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME, _TEST_JWT)

From fe26648ecce05fb82c3f63d96571c08d2ca05f1f Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Tue, 26 Feb 2019 14:43:08 -0800
Subject: [PATCH 0579/1660] Add timeout to UserSecretsClient

---
 patches/kaggle_secrets.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index 54cab292..1d0cc998 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -11,6 +11,7 @@
 _KAGGLE_DEFAULT_URL_BASE = "https://www.kaggle.com"
 _KAGGLE_URL_BASE_ENV_VAR_NAME = "KAGGLE_URL_BASE"
 _KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME = "KAGGLE_USER_SECRETS_TOKEN"
+TIMEOUT_SECS = 10
 
 
 class CredentialError(Exception):
@@ -43,7 +44,7 @@ def _make_post_request(self, data):
         req = urllib.request.Request(url, headers=self.headers, data=bytes(
             json.dumps(request_body), encoding="utf-8"))
         try:
-            with urllib.request.urlopen(req) as response:
+            with urllib.request.urlopen(req, timeout=TIMEOUT_SECS) as response:
                 response_json = json.loads(response.read())
                 if not response_json.get('wasSuccessful') or 'result' not in response_json:
                     raise BackendError(

From 4cd0b761939c050d7ca49e80663185dff663daad Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Tue, 26 Feb 2019 15:17:30 -0800
Subject: [PATCH 0580/1660] Increase timeout for usersecretsclient, add test
 case for wasSuccesful: false.

---
 patches/kaggle_secrets.py  |  2 +-
 tests/test_user_secrets.py | 19 +++++++++++++++----
 2 files changed, 16 insertions(+), 5 deletions(-)

diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index 1d0cc998..8ec99caa 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -11,7 +11,7 @@
 _KAGGLE_DEFAULT_URL_BASE = "https://www.kaggle.com"
 _KAGGLE_URL_BASE_ENV_VAR_NAME = "KAGGLE_URL_BASE"
 _KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME = "KAGGLE_USER_SECRETS_TOKEN"
-TIMEOUT_SECS = 10
+TIMEOUT_SECS = 40
 
 
 class CredentialError(Exception):
diff --git a/tests/test_user_secrets.py b/tests/test_user_secrets.py
index d24c8c2c..b8c1b352 100644
--- a/tests/test_user_secrets.py
+++ b/tests/test_user_secrets.py
@@ -10,7 +10,7 @@
 from google.cloud import bigquery
 from kaggle_secrets import (_KAGGLE_URL_BASE_ENV_VAR_NAME,
                             _KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME,
-                            CredentialError, UserSecretsClient)
+                            CredentialError, UserSecretsClient, BackendError)
 
 _TEST_JWT = 'test-secrets-key'
 
@@ -37,7 +37,7 @@ def do_POST(s):
 class TestUserSecrets(unittest.TestCase):
     SERVER_ADDRESS = urlparse(os.getenv(_KAGGLE_URL_BASE_ENV_VAR_NAME))
 
-    def _test_client(self, client_func, expected_path, expected_body, secret):
+    def _test_client(self, client_func, expected_path, expected_body, secret=None, success=True):
         _request = {}
 
         class AccessTokenHandler(UserSecretsHTTPHandler):
@@ -49,7 +49,10 @@ def set_request(self):
                 _request['headers'] = self.headers
 
             def get_response(self):
-                return {'result': {'secret': secret, 'secretType': 'refreshToken', 'secretProvider': 'google'}, 'wasSuccessful': True}
+                if success:
+                    return {'result': {'secret': secret, 'secretType': 'refreshToken', 'secretProvider': 'google'}, 'wasSuccessful': "true"}
+                else:
+                    return {'wasSuccessful': "false"}
 
         env = EnvironmentVarGuard()
         env.set(_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME, _TEST_JWT)
@@ -87,4 +90,12 @@ def call_get_access_token():
             secret_response = client.get_bigquery_access_token()
             self.assertEqual(secret_response, secret)
         self._test_client(call_get_access_token,
-                          '/requests/GetUserSecretRequest', {'Target': 1, 'JWE': _TEST_JWT}, secret)
+                          '/requests/GetUserSecretRequest', {'Target': 1, 'JWE': _TEST_JWT}, secret=secret)
+    
+    def test_get_access_token_handles_unsuccessful(self):
+        def call_get_access_token():
+            client = UserSecretsClient()
+            with self.assertRaises(BackendError):
+                client.get_bigquery_access_token()
+        self._test_client(call_get_access_token,
+                          '/requests/GetUserSecretRequest', {'Target': 1, 'JWE': _TEST_JWT}, success=False)

From 8ae0efad36c00566dd87d5a8f51a070dd5b328d1 Mon Sep 17 00:00:00 2001
From: Aurelio Agundez <aurelio@agundez.com>
Date: Tue, 26 Feb 2019 18:38:26 -0800
Subject: [PATCH 0581/1660] Apply PR suggestions

---
 gpu.Dockerfile                       |  3 ++
 patches/tensorboard/notebook.py      | 11 +++++--
 tests/data/jupyter_tensorboard.ipynb | 45 ++++++++++++++++++++++++++++
 tests/test_jupytertensorboard.py     | 25 ++++++++++++++++
 4 files changed, 81 insertions(+), 3 deletions(-)
 create mode 100644 tests/data/jupyter_tensorboard.ipynb
 create mode 100644 tests/test_jupytertensorboard.py

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 534427e7..9eedf302 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -57,3 +57,6 @@ RUN pip install pycuda && \
     pip install cupy-cuda92 && \
     pip install pynvrtc && \
     /tmp/clean-layer.sh
+
+# Re-add TensorBoard Jupyter extension patch
+ADD patches/tensorboard/notebook.py /opt/conda/lib/python3.6/site-packages/tensorboard/notebook.py
diff --git a/patches/tensorboard/notebook.py b/patches/tensorboard/notebook.py
index 4407494e..ccb43789 100644
--- a/patches/tensorboard/notebook.py
+++ b/patches/tensorboard/notebook.py
@@ -1,5 +1,5 @@
 """%tensorboard line magic that patches TensorBoard's implementation to make use of Jupyter 
-TensorBoard server extention providing built-in proxying.
+TensorBoard server extension providing built-in proxying.
 
 Use:
     %load_ext tensorboard.notebook
@@ -12,7 +12,11 @@
 from IPython.display import display, HTML, Javascript
 
 def _tensorboard_magic(line):
-    """Line magic function."""
+    """Line magic function.
+
+    Makes an AJAX call to the Jupyter TensorBoard server extension and outputs
+    an IFrame displaying the TensorBoard instance.
+    """
     parser = argparse.ArgumentParser()
     parser.add_argument('--logdir', default='/kaggle/working')
     args = parser.parse_args(line.split())
@@ -20,6 +24,7 @@ def _tensorboard_magic(line):
     iframe_id = 'tensorboard-' + str(uuid.uuid4())
         
     html = """
+<!-- JUPYTER_TENSORBOARD_TEST_MARKER -->
 <script>
     const req = {
         method: 'POST',
@@ -41,7 +46,7 @@ def _tensorboard_magic(line):
     display(HTML(html))
     
 def load_ipython_extension(ipython):
-    """IPython extention entry point."""
+    """IPython extension entry point."""
     ipython.register_magic_function(
         _tensorboard_magic,
         magic_kind='line',
diff --git a/tests/data/jupyter_tensorboard.ipynb b/tests/data/jupyter_tensorboard.ipynb
new file mode 100644
index 00000000..0f750a6e
--- /dev/null
+++ b/tests/data/jupyter_tensorboard.ipynb
@@ -0,0 +1,45 @@
+{
+  "cells": [
+    {
+      "metadata": {
+        "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5",
+        "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
+        "trusted": true
+      },
+      "cell_type": "code",
+      "source": "%load_ext tensorboard.notebook\n%tensorboard --logdir /logs",
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "_cell_guid": "79c7e3d0-c299-4dcb-8224-4455121ee9b0",
+        "collapsed": true,
+        "_uuid": "d629ff2d2480ee46fbb7e2d37f6b5fab8052498a",
+        "trusted": false
+      },
+      "cell_type": "code",
+      "source": "",
+      "execution_count": null,
+      "outputs": []
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "name": "python",
+      "version": "3.6.4",
+      "mimetype": "text/x-python",
+      "codemirror_mode": { "name": "ipython", "version": 3 },
+      "pygments_lexer": "ipython3",
+      "nbconvert_exporter": "python",
+      "file_extension": ".py"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 1
+}
\ No newline at end of file
diff --git a/tests/test_jupytertensorboard.py b/tests/test_jupytertensorboard.py
new file mode 100644
index 00000000..a76c8a4c
--- /dev/null
+++ b/tests/test_jupytertensorboard.py
@@ -0,0 +1,25 @@
+import os
+import subprocess
+import unittest
+
+class TestJupyterTensorBoard(unittest.TestCase):
+    def test_jupytertensorboard(self):
+        file_path = os.path.realpath(__file__)
+        ipynb_path = os.path.join(
+            os.path.dirname(file_path), 
+            'data',
+            'jupyter_tensorboard.ipynb',
+        )
+
+        result = subprocess.run([
+                'jupyter',
+                'nbconvert',
+                '--execute',
+                '--stdout',
+                ipynb_path,
+            ],
+            stdout=subprocess.PIPE
+        )
+
+        self.assertTrue(result.returncode == 0)
+        self.assertTrue(b'JUPYTER_TENSORBOARD_TEST_MARKER' in result.stdout)

From 38d95dbeb6b55a0a18848a0908fb8fe3f0a13edf Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Wed, 27 Feb 2019 15:47:52 -0800
Subject: [PATCH 0582/1660] Updates pip version as the latest version doesn't
 seem to have issues with cartopy.

---
 Dockerfile | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 6a06bb49..08d29d79 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -17,10 +17,7 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     apt-get update && apt-get install -y build-essential unzip && \
     # https://stackoverflow.com/a/46498173
     conda update -y conda && conda update -y python && \
-    # cartopy package fails to install with the latest version of pip (19.0.1) with:
-    # "ModuleNotFoundError: No module named 'versioneer'"
-    # `versioneer` is checked in the cartopy package, the sys path seems to differ with the new version of pip.
-    pip install pip==18.1 && \
+    pip install pip==19.0.3 && \
     apt-get -y install cmake && \
     /tmp/clean-layer.sh
 

From 7d4e8712216121b9cb70a782117b018c122f7d3f Mon Sep 17 00:00:00 2001
From: Aurelio Agundez <aurelio@agundez.com>
Date: Wed, 27 Feb 2019 22:52:35 -0800
Subject: [PATCH 0583/1660] Hide IFrame in published notebook to avoid empty
 output cell

---
 patches/tensorboard/notebook.py | 12 ++++++++++--
 1 file changed, 10 insertions(+), 2 deletions(-)

diff --git a/patches/tensorboard/notebook.py b/patches/tensorboard/notebook.py
index ccb43789..7375f97a 100644
--- a/patches/tensorboard/notebook.py
+++ b/patches/tensorboard/notebook.py
@@ -37,10 +37,18 @@ def _tensorboard_magic(line):
 
     fetch(baseUrl + 'api/tensorboard', req)
         .then(res => res.json())
-        .then(res => document.getElementById('%s').src = baseUrl + 'tensorboard/' + res.name);
+        .then(res => {
+            const iframe = document.getElementById('%s');
+            iframe.src = baseUrl + 'tensorboard/' + res.name;
+            iframe.style.display = 'block';
+        });
 </script>
 
-<iframe id="%s" style="width: 100%%; height: 620px" frameBorder="0"></iframe>
+<iframe
+    id="%s"
+    style="width: 100%%; height: 620px; display: none;"
+    frameBorder="0">
+</iframe>
 """ % (args.logdir, iframe_id, iframe_id)
     
     display(HTML(html))

From 33ddc9da6d2f83fd288750820bab6218d9da6f88 Mon Sep 17 00:00:00 2001
From: Aurelio Agundez <aurelio@agundez.com>
Date: Thu, 28 Feb 2019 10:17:23 -0800
Subject: [PATCH 0584/1660] Leave comment about replacing patch with worker
 tunneling

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 5047fcc6..33b85a22 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -512,7 +512,8 @@ ADD patches/kaggle_gcp.py /root/.local/lib/python3.6/site-packages/kaggle_gcp.py
 ADD patches/kaggle_secrets.py /root/.local/lib/python3.6/site-packages/kaggle_secrets.py
 ADD patches/sitecustomize.py /root/.local/lib/python3.6/site-packages/sitecustomize.py
 
-# TensorBoard Jupyter extension
+# TensorBoard Jupyter extension. Should be replaced with TensorBoard's provided magic once we have
+# worker tunneling support in place.
 ENV JUPYTER_CONFIG_DIR "/root/.jupyter/"
 RUN pip install jupyter_tensorboard && \
     jupyter serverextension enable jupyter_tensorboard && \

From def9436e86c713476ddd609b600a83829f296b26 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 28 Feb 2019 11:39:10 -0800
Subject: [PATCH 0585/1660] Document cuda compute compabilities

---
 tensorflow-whl/Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 1cd1acdf..17f2dc08 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -87,6 +87,7 @@ RUN cd /usr/local/src/tensorflow && \
 # Create a tensorflow wheel for GPU/cuda
 ENV TF_NEED_CUDA=1
 ENV TF_CUDA_VERSION=9.2
+# 3.7 is for the K80 and 6.0 is for the P100: https://developer.nvidia.com/cuda-gpus
 ENV TF_CUDA_COMPUTE_CAPABILITIES=3.7,6.0
 ENV TF_CUDNN_VERSION=7
 ENV TF_NCCL_VERSION=2

From 513ccea6c2912d91a3375b9b70b6de87596e6037 Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@google.com>
Date: Thu, 7 Mar 2019 09:12:28 -0800
Subject: [PATCH 0586/1660] Properly store access token so it can be used by
 creds

---
 patches/kaggle_gcp.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index f6f42baf..88395f71 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -14,10 +14,9 @@ class KaggleKernelCredentials(credentials.Credentials):
     """
 
     def refresh(self, request):
-        print("Calling Kaggle.UserSecrets to refresh token.")
         try:
             client = UserSecretsClient()
-            fresh_token = client.get_bigquery_access_token()
+            self.token = client.get_bigquery_access_token()
         except Exception as e:
             raise RefreshError('Unable to refresh access token.') from e
 

From e4024b9224b5d5a472ac33dca9e9931921330fd1 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 7 Mar 2019 21:51:14 +0000
Subject: [PATCH 0587/1660] Fix tesseract unit test

---
 tests/test_pytesseract.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/tests/test_pytesseract.py b/tests/test_pytesseract.py
index ef6bba09..353b8adb 100644
--- a/tests/test_pytesseract.py
+++ b/tests/test_pytesseract.py
@@ -2,6 +2,7 @@
 import io
 import pytesseract
 import numpy as np
+from PIL import Image
 from wand.image import Image as wandimage
 
 class TestPytesseract(unittest.TestCase):
@@ -10,5 +11,5 @@ def test_tesseract(self):
         with wandimage(filename='/input/tests/data/test.pdf') as wand_image:
             img_buffer = np.asarray(bytearray(wand_image.make_blob(format='png')), dtype='uint8')
             bytesio = io.BytesIO(img_buffer)
-            test_string = pytesseract.image_to_string(PILImage.open(bytesio))
+            test_string = pytesseract.image_to_string(Image.open(bytesio))
             self.assertTrue(type(test_string) == str)

From f24718f31f10f08f684c3255c3e2ff464db09f24 Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Fri, 8 Mar 2019 11:30:15 -0800
Subject: [PATCH 0588/1660] Adds support for expiry of bigquery access token.
 (#501)

* Adds support for expiry of bigquery access token.

* Updates expiry of access token in tests.

* Sets expiry to a datetime instead of seconds to expiry.

* Add more typing information for kaggle_secrets.py
---
 .gitignore                 |  1 +
 patches/kaggle_gcp.py      |  2 +-
 patches/kaggle_secrets.py  | 22 ++++++++++++++++++----
 tests/test_user_secrets.py | 11 ++++++++---
 4 files changed, 28 insertions(+), 8 deletions(-)

diff --git a/.gitignore b/.gitignore
index 79136554..0d038d25 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,3 +1,4 @@
 *.pyc
 .idea/
 .vscode
+.mypy_cache
\ No newline at end of file
diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index 88395f71..0cdadadb 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -16,7 +16,7 @@ class KaggleKernelCredentials(credentials.Credentials):
     def refresh(self, request):
         try:
             client = UserSecretsClient()
-            self.token = client.get_bigquery_access_token()
+            self.token, self.expiry = client.get_bigquery_access_token()
         except Exception as e:
             raise RefreshError('Unable to refresh access token.') from e
 
diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index 8ec99caa..f3643cb9 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -7,6 +7,9 @@
 import json
 import os
 import urllib.request
+from urllib.error import HTTPError
+from typing import Tuple, Optional
+from datetime import datetime, timedelta
 
 _KAGGLE_DEFAULT_URL_BASE = "https://www.kaggle.com"
 _KAGGLE_URL_BASE_ENV_VAR_NAME = "KAGGLE_URL_BASE"
@@ -37,7 +40,7 @@ def __init__(self):
                 f'but none found in environment variable {_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME}')
         self.headers = {'Content-type': 'application/json'}
 
-    def _make_post_request(self, data):
+    def _make_post_request(self, data: dict) -> dict:
         url = f'{self.url_base}{self.GET_USER_SECRET_ENDPOINT}'
         request_body = dict(data)
         request_body['JWE'] = self.jwt_token
@@ -50,13 +53,21 @@ def _make_post_request(self, data):
                     raise BackendError(
                         'Unexpected response from the service.')
                 return response_json['result']
-        except urllib.error.HTTPError as e:
+        except HTTPError as e:
             if e.code == 401 or e.code == 403:
                 raise CredentialError(f'Service responded with error code {e.code}.'
                                       ' Please ensure you have access to the resource.') from e
             raise BackendError('Unexpected response from the service.') from e
 
-    def get_bigquery_access_token(self):
+    def get_bigquery_access_token(self) -> Tuple[str, Optional[datetime]]:
+        """Retrieves BigQuery access token information from the UserSecrets service.
+        
+        This returns the token for the current kernel as well as its expiry (abs time) if it
+        is present.
+        Example usage:
+            client = UserSecretsClient()
+            token, expiry = client.get_bigquery_access_token()
+        """
         request_body = {
             'Target': self.BIGQUERY_TARGET_VALUE
         }
@@ -64,4 +75,7 @@ def get_bigquery_access_token(self):
         if 'secret' not in response_json:
             raise BackendError(
                 'Unexpected response from the service.')
-        return response_json['secret']
+        # Optionally return expiry if it is set.
+        expiresInSeconds = response_json.get('expiresInSeconds')
+        expiry = datetime.utcnow() + timedelta(seconds=expiresInSeconds) if expiresInSeconds else None
+        return response_json['secret'], expiry
diff --git a/tests/test_user_secrets.py b/tests/test_user_secrets.py
index b8c1b352..2e6e31ec 100644
--- a/tests/test_user_secrets.py
+++ b/tests/test_user_secrets.py
@@ -5,6 +5,8 @@
 from http.server import BaseHTTPRequestHandler, HTTPServer
 from test.support import EnvironmentVarGuard
 from urllib.parse import urlparse
+from datetime import datetime, timedelta
+import mock
 
 from google.auth.exceptions import DefaultCredentialsError
 from google.cloud import bigquery
@@ -50,7 +52,7 @@ def set_request(self):
 
             def get_response(self):
                 if success:
-                    return {'result': {'secret': secret, 'secretType': 'refreshToken', 'secretProvider': 'google'}, 'wasSuccessful': "true"}
+                    return {'result': {'secret': secret, 'secretType': 'refreshToken', 'secretProvider': 'google', 'expiresInSeconds': 3600}, 'wasSuccessful': "true"}
                 else:
                     return {'wasSuccessful': "false"}
 
@@ -82,13 +84,16 @@ def test_no_token_fails(self):
             with self.assertRaises(CredentialError):
                 client = UserSecretsClient()
 
-    def test_get_access_token_succeeds(self):
+    @mock.patch('kaggle_secrets.datetime')
+    def test_get_access_token_succeeds(self, mock_dt):
         secret = '12345'
+        now = datetime(1993, 4, 24)
+        mock_dt.utcnow = mock.Mock(return_value=now)
 
         def call_get_access_token():
             client = UserSecretsClient()
             secret_response = client.get_bigquery_access_token()
-            self.assertEqual(secret_response, secret)
+            self.assertEqual(secret_response, (secret, now + timedelta(seconds=3600))) 
         self._test_client(call_get_access_token,
                           '/requests/GetUserSecretRequest', {'Target': 1, 'JWE': _TEST_JWT}, secret=secret)
     

From 8e330545f53102dab11063be049d82c4dd3b4139 Mon Sep 17 00:00:00 2001
From: Philmod <philippe.modard@gmail.com>
Date: Mon, 11 Mar 2019 18:29:09 -0400
Subject: [PATCH 0589/1660] install basemap with conda

---
 Dockerfile | 13 +++++++------
 1 file changed, 7 insertions(+), 6 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index ad954c8d..ca2b0dbc 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -118,14 +118,15 @@ RUN apt-get install -y libfreetype6-dev && \
 ENV LD_LIBRARY_PATH=/opt/conda/lib
 
 RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
-    pip install matplotlib==2.2.3 && \
+    # https://peak5390.wordpress.com/2012/12/08/matplotlib-basemap-tutorial-installing-matplotlib-and-basemap/
+    # apt-get -y install python-matplotlib python-mpltoolkits.basemap && \
+    pip install matplotlib && \
     pip install pyshp && \
     pip install pyproj && \
-    cd /usr/local/src && git clone https://github.com/matplotlib/basemap.git && \
-    cd basemap && \
-    git checkout v1.1.0 && \
-    python setup.py install && \
-    pip install basemap --no-binary basemap && \
+    # pip install basemap && \
+    # conda install -c conda-forge basemap && \
+    conda install basemap && \
+    # pip install -U git+https://github.com/matplotlib/basemap.git && \
     # sasl is apparently an ibis dependency
     apt-get -y install libsasl2-dev && \
     # ...as is psycopg2

From 1e16c13a710f30e34fd7be6e591a3a9510d5ed47 Mon Sep 17 00:00:00 2001
From: Philmod <philippe.modard@gmail.com>
Date: Mon, 11 Mar 2019 20:39:04 -0400
Subject: [PATCH 0590/1660] cleanup from other installation paths

---
 Dockerfile | 5 -----
 1 file changed, 5 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index ca2b0dbc..86edbc12 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -118,15 +118,10 @@ RUN apt-get install -y libfreetype6-dev && \
 ENV LD_LIBRARY_PATH=/opt/conda/lib
 
 RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
-    # https://peak5390.wordpress.com/2012/12/08/matplotlib-basemap-tutorial-installing-matplotlib-and-basemap/
-    # apt-get -y install python-matplotlib python-mpltoolkits.basemap && \
     pip install matplotlib && \
     pip install pyshp && \
     pip install pyproj && \
-    # pip install basemap && \
-    # conda install -c conda-forge basemap && \
     conda install basemap && \
-    # pip install -U git+https://github.com/matplotlib/basemap.git && \
     # sasl is apparently an ibis dependency
     apt-get -y install libsasl2-dev && \
     # ...as is psycopg2

From 566b5f7b3ba414b84da678d6a497e6ccd6d50ea1 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <roseberryv@gmail.com>
Date: Wed, 13 Mar 2019 16:28:21 -0700
Subject: [PATCH 0591/1660] TF whl: Remove pin for
 keras_(applications|preprocessing)

Same change than for the `gpu.Dockerfile` in #469.
---
 tensorflow-whl/Dockerfile | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 17f2dc08..68cb5721 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -66,10 +66,7 @@ RUN apt-get update && apt-get install -y gnupg zip && \
     rm bazel_*.deb
 
 # Tensorflow doesn't support python 3.7 yet. See https://github.com/tensorflow/tensorflow/issues/20517
-RUN conda install -y python=3.6.6 && \
-    # Another fix for TF 1.10 https://github.com/tensorflow/tensorflow/issues/21518
-    pip install keras_applications==1.0.4 --no-deps && \
-    pip install keras_preprocessing==1.0.2 --no-deps
+RUN conda install -y python=3.6.6
 
 # Fetch tensorflow
 RUN cd /usr/local/src && \

From ebbb008a42efe15ad962778b32ca9a7043967e4b Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 13 Mar 2019 16:34:48 -0700
Subject: [PATCH 0592/1660] TF whl: Support parallel branch build

---
 tensorflow-whl/Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tensorflow-whl/Jenkinsfile b/tensorflow-whl/Jenkinsfile
index 92dfcada..9a9cbd60 100644
--- a/tensorflow-whl/Jenkinsfile
+++ b/tensorflow-whl/Jenkinsfile
@@ -28,7 +28,7 @@ pipeline {
                 set -exo pipefail
 
                 cd tensorflow-whl/
-                ./push staging
+                ./push ${GIT_BRANCH}-staging
                 '''
             }
         }

From c992f7c18e4ea6ccbb2c18b8422a20f8826d55e0 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 19 Mar 2019 19:04:37 +0000
Subject: [PATCH 0593/1660] Set PROJ_LIB to point to the proj4 library

---
 Dockerfile | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 86edbc12..6ba3d423 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -158,7 +158,10 @@ RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
     mkdir -p /tmp/.keras && cp /root/.keras/keras.json /tmp/.keras && \
     /tmp/clean-layer.sh
 
-    # scikit-learn dependencies
+# b/128333086: Set PROJ_LIB to points to the proj4 cartographic library.
+ENV PROJ_LIB=/opt/conda/share/proj
+
+# scikit-learn dependencies
 RUN pip install scipy && \
     pip install scikit-learn && \
     # HDF5 support

From 7fa501607e207291a98cd752630bc52ffa97a604 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 13 Mar 2019 23:36:27 +0000
Subject: [PATCH 0594/1660] upgrade tf whl to 1.13 with cuda 10.1

---
 tensorflow-whl/CHANGELOG.md |  1 +
 tensorflow-whl/Dockerfile   | 28 ++++++++++++++--------------
 2 files changed, 15 insertions(+), 14 deletions(-)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index 2a5146eb..3b28ea57 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -1,2 +1,3 @@
 1.11.0-py36: Tensorflow 1.11.0 wheels built with python 3.6
 1.12.0-py36: Tensorflow 1.12.0 wheels with Cuda 9.2
+1.13.1-py36: Tensorflow 1.13.1 wheels with Cuda 10.1
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 68cb5721..1e6c2b00 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -1,4 +1,4 @@
-FROM nvidia/cuda:9.2-cudnn7-devel-ubuntu16.04 AS nvidia
+FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu16.04 AS nvidia
 FROM continuumio/anaconda3:5.2.0
 
 # Avoid interactive configuration prompts/dialogs during apt-get.
@@ -15,8 +15,8 @@ COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
 
 # Ensure the cuda libraries are compatible with the GPU image.
 # TODO(b/120050292): Use templating to keep in sync.
-ENV CUDA_VERSION=9.2.148
-ENV CUDA_PKG_VERSION=9-2=$CUDA_VERSION-1
+ENV CUDA_VERSION=10.1.105
+ENV CUDA_PKG_VERSION=10-1=$CUDA_VERSION-1
 LABEL com.nvidia.volumes.needed="nvidia_driver"
 LABEL com.nvidia.cuda.version="${CUDA_VERSION}"
 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
@@ -38,17 +38,17 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
       cuda-nvml-dev-$CUDA_PKG_VERSION \
       cuda-minimal-build-$CUDA_PKG_VERSION \
       cuda-command-line-tools-$CUDA_PKG_VERSION \
-      libcudnn7=7.4.1.5-1+cuda9.2 \
-      libcudnn7-dev=7.4.1.5-1+cuda9.2 \
-      libnccl2=2.3.7-1+cuda9.2 \
-      libnccl-dev=2.3.7-1+cuda9.2 && \
-    ln -s /usr/local/cuda-9.2 /usr/local/cuda && \
+      libcudnn7=7.5.0.56-1+cuda10.1 \
+      libcudnn7-dev=7.5.0.56-1+cuda10.1 \
+      libnccl2=2.4.2-1+cuda10.1 \
+      libnccl-dev=2.4.2-1+cuda10.1 && \
+    ln -s /usr/local/cuda-10.1 /usr/local/cuda && \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 && \
     rm -rf /var/lib/apt/lists/*
 
 # Install bazel
-# Tensorflow 1.11 requires the Bazel 0.15: https://www.tensorflow.org/install/source
-ENV BAZEL_VERSION=0.15.0
+# Tensorflow 1.13 requires the Bazel 0.19.2: https://www.tensorflow.org/install/source
+ENV BAZEL_VERSION=0.19.2
 RUN apt-get update && apt-get install -y gnupg zip && \
     echo "deb http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list && \
     echo "deb-src http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list && \
@@ -72,7 +72,7 @@ RUN conda install -y python=3.6.6
 RUN cd /usr/local/src && \
     git clone https://github.com/tensorflow/tensorflow && \
     cd tensorflow && \
-    git checkout r1.12
+    git checkout r1.13
 
 # Create a tensorflow wheel for CPU
 RUN cd /usr/local/src/tensorflow && \
@@ -83,9 +83,9 @@ RUN cd /usr/local/src/tensorflow && \
 
 # Create a tensorflow wheel for GPU/cuda
 ENV TF_NEED_CUDA=1
-ENV TF_CUDA_VERSION=9.2
-# 3.7 is for the K80 and 6.0 is for the P100: https://developer.nvidia.com/cuda-gpus
-ENV TF_CUDA_COMPUTE_CAPABILITIES=3.7,6.0
+ENV TF_CUDA_VERSION=10.1
+# 3.7 is for the K80 and 6.0 is for the P100, 7.5 is for the T4: https://developer.nvidia.com/cuda-gpus
+ENV TF_CUDA_COMPUTE_CAPABILITIES=3.7,6.0,7.5
 ENV TF_CUDNN_VERSION=7
 ENV TF_NCCL_VERSION=2
 ENV NCCL_INSTALL_PATH=/usr/

From a72c378bb2e66b3ea9bf7284dc32b90c87dec4ce Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 14 Mar 2019 03:23:33 +0000
Subject: [PATCH 0595/1660] update to python 3.7

---
 Dockerfile                |  5 -----
 gpu.Dockerfile            | 27 +++++++++++++++------------
 tensorflow-whl/Dockerfile | 13 ++++++-------
 3 files changed, 21 insertions(+), 24 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 6ba3d423..a143e269 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -21,11 +21,6 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     apt-get -y install cmake && \
     /tmp/clean-layer.sh
 
-# Tensorflow doesn't support python 3.7 yet. See https://github.com/tensorflow/tensorflow/issues/20517
-# Fix to install Tensorflow: Downgrade python 3.7->3.6.6.
-RUN conda install -y python=3.6.6 && \
-    /tmp/clean-layer.sh
-
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
 RUN pip install --upgrade seaborn python-dateutil dask && \
     pip install pyyaml joblib pytagcloud husl geopy ml_metrics mne pyshp && \
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index a5fadce9..b8ab5aa7 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=staging
 
 FROM nvidia/cuda:9.2-cudnn7-devel-ubuntu16.04 AS nvidia
-FROM gcr.io/kaggle-images/python-tensorflow-whl:1.12.0-py36 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:1.13.1-py36 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
@@ -13,8 +13,8 @@ COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
 
 # Ensure the cuda libraries are compatible with the custom Tensorflow wheels.
 # TODO(b/120050292): Use templating to keep in sync or COPY installed binaries from it.
-ENV CUDA_VERSION=9.2.148
-ENV CUDA_PKG_VERSION=9-2=$CUDA_VERSION-1
+ENV CUDA_VERSION=10.1.105
+ENV CUDA_PKG_VERSION=10-1=$CUDA_VERSION-1
 LABEL com.nvidia.volumes.needed="nvidia_driver"
 LABEL com.nvidia.cuda.version="${CUDA_VERSION}"
 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
@@ -26,7 +26,7 @@ ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
 ENV LD_LIBRARY_PATH="/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs"
 ENV NVIDIA_VISIBLE_DEVICES=all
 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
-ENV NVIDIA_REQUIRE_CUDA="cuda>=9.2"
+ENV NVIDIA_REQUIRE_CUDA="cuda>=10.1"
 RUN apt-get update && apt-get install -y --no-install-recommends \
       cuda-cupti-$CUDA_PKG_VERSION \
       cuda-cudart-$CUDA_PKG_VERSION \
@@ -36,14 +36,17 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
       cuda-nvml-dev-$CUDA_PKG_VERSION \
       cuda-minimal-build-$CUDA_PKG_VERSION \
       cuda-command-line-tools-$CUDA_PKG_VERSION \
-      libcudnn7=7.4.1.5-1+cuda9.2 \
-      libcudnn7-dev=7.4.1.5-1+cuda9.2 \
-      libnccl2=2.3.7-1+cuda9.2 \
-      libnccl-dev=2.3.7-1+cuda9.2 && \
-    ln -s /usr/local/cuda-9.2 /usr/local/cuda && \
+      libcudnn7=7.5.0.56-1+cuda10.1 \
+      libcudnn7-dev=7.5.0.56-1+cuda10.1 \
+      libnccl2=2.4.2-1+cuda10.1 \
+      libnccl-dev=2.4.2-1+cuda10.1 && \
+    ln -s /usr/local/cuda-10.1 /usr/local/cuda && \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 && \
     /tmp/clean-layer.sh
 
+# TODO(rosbo): given tha pytorch and mxnet and cupy don't have cuda 10.1 versions.
+# Consider installing cuda 10.0
+
 # Reinstall packages with a separate version for GPU support
 # Tensorflow
 COPY --from=tensorflow_whl /tmp/tensorflow_gpu/*.whl /tmp/tensorflow_gpu/
@@ -51,15 +54,15 @@ RUN pip uninstall -y tensorflow && \
     pip install /tmp/tensorflow_gpu/tensorflow*.whl && \
     rm -rf /tmp/tensorflow_gpu && \
     conda uninstall -y pytorch-cpu torchvision-cpu && \
-    conda install -y pytorch torchvision cudatoolkit=9.2 -c pytorch && \
+    conda install -y pytorch torchvision cudatoolkit=10.0 -c pytorch && \
     pip uninstall -y mxnet && \
     # b/126259508 --no-deps prevents numpy from being downgraded.
-    pip install --no-deps mxnet-cu92 && \
+    pip install --no-deps mxnet-cu100 && \
     /tmp/clean-layer.sh
 
 # Install GPU-only packages
 RUN pip install pycuda && \
-    pip install cupy-cuda92 && \
+    pip install cupy-cuda100 && \
     pip install pynvrtc && \
     /tmp/clean-layer.sh
 
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 1e6c2b00..0e532d2e 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -28,7 +28,7 @@ ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
 ENV LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs"
 ENV NVIDIA_VISIBLE_DEVICES=all
 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
-ENV NVIDIA_REQUIRE_CUDA="cuda>=9.0"
+ENV NVIDIA_REQUIRE_CUDA="cuda>=10.1"
 RUN apt-get update && apt-get install -y --no-install-recommends \
       cuda-cupti-$CUDA_PKG_VERSION \
       cuda-cudart-$CUDA_PKG_VERSION \
@@ -49,7 +49,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
 # Install bazel
 # Tensorflow 1.13 requires the Bazel 0.19.2: https://www.tensorflow.org/install/source
 ENV BAZEL_VERSION=0.19.2
-RUN apt-get update && apt-get install -y gnupg zip && \
+RUN apt-get install -y gnupg zip && \
     echo "deb http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list && \
     echo "deb-src http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list && \
     apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys --no-tty EEA14886 C857C906 2B90D010 && \
@@ -65,14 +65,13 @@ RUN apt-get update && apt-get install -y gnupg zip && \
     dpkg -i bazel_*.deb && \
     rm bazel_*.deb
 
-# Tensorflow doesn't support python 3.7 yet. See https://github.com/tensorflow/tensorflow/issues/20517
-RUN conda install -y python=3.6.6
-
-# Fetch tensorflow
+# Fetch tensorflow & install dependencies.
 RUN cd /usr/local/src && \
     git clone https://github.com/tensorflow/tensorflow && \
     cd tensorflow && \
-    git checkout r1.13
+    git checkout r1.13 && \
+    pip install keras_applications --no-deps && \
+    pip install keras_preprocessing --no-deps
 
 # Create a tensorflow wheel for CPU
 RUN cd /usr/local/src/tensorflow && \

From 188c56a1232282a16ec532c2615aff8ea5f453ec Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 14 Mar 2019 04:43:53 +0000
Subject: [PATCH 0596/1660] Use cuda 10.0

---
 gpu.Dockerfile              | 19 ++++++++-----------
 tensorflow-whl/CHANGELOG.md |  2 +-
 tensorflow-whl/Dockerfile   | 20 ++++++++++----------
 3 files changed, 19 insertions(+), 22 deletions(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index b8ab5aa7..e7655de8 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -13,8 +13,8 @@ COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
 
 # Ensure the cuda libraries are compatible with the custom Tensorflow wheels.
 # TODO(b/120050292): Use templating to keep in sync or COPY installed binaries from it.
-ENV CUDA_VERSION=10.1.105
-ENV CUDA_PKG_VERSION=10-1=$CUDA_VERSION-1
+ENV CUDA_VERSION=10.0.130
+ENV CUDA_PKG_VERSION=10-0=$CUDA_VERSION-1
 LABEL com.nvidia.volumes.needed="nvidia_driver"
 LABEL com.nvidia.cuda.version="${CUDA_VERSION}"
 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
@@ -26,7 +26,7 @@ ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
 ENV LD_LIBRARY_PATH="/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs"
 ENV NVIDIA_VISIBLE_DEVICES=all
 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
-ENV NVIDIA_REQUIRE_CUDA="cuda>=10.1"
+ENV NVIDIA_REQUIRE_CUDA="cuda>=10.0"
 RUN apt-get update && apt-get install -y --no-install-recommends \
       cuda-cupti-$CUDA_PKG_VERSION \
       cuda-cudart-$CUDA_PKG_VERSION \
@@ -36,17 +36,14 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
       cuda-nvml-dev-$CUDA_PKG_VERSION \
       cuda-minimal-build-$CUDA_PKG_VERSION \
       cuda-command-line-tools-$CUDA_PKG_VERSION \
-      libcudnn7=7.5.0.56-1+cuda10.1 \
-      libcudnn7-dev=7.5.0.56-1+cuda10.1 \
-      libnccl2=2.4.2-1+cuda10.1 \
-      libnccl-dev=2.4.2-1+cuda10.1 && \
-    ln -s /usr/local/cuda-10.1 /usr/local/cuda && \
+      libcudnn7=7.5.0.56-1+cuda10.0 \
+      libcudnn7-dev=7.5.0.56-1+cuda10.0 \
+      libnccl2=2.4.2-1+cuda10.0 \
+      libnccl-dev=2.4.2-1+cuda10.0 && \
+    ln -s /usr/local/cuda-10.0 /usr/local/cuda && \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 && \
     /tmp/clean-layer.sh
 
-# TODO(rosbo): given tha pytorch and mxnet and cupy don't have cuda 10.1 versions.
-# Consider installing cuda 10.0
-
 # Reinstall packages with a separate version for GPU support
 # Tensorflow
 COPY --from=tensorflow_whl /tmp/tensorflow_gpu/*.whl /tmp/tensorflow_gpu/
diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index 3b28ea57..43b65161 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -1,3 +1,3 @@
 1.11.0-py36: Tensorflow 1.11.0 wheels built with python 3.6
 1.12.0-py36: Tensorflow 1.12.0 wheels with Cuda 9.2
-1.13.1-py36: Tensorflow 1.13.1 wheels with Cuda 10.1
+1.13.1-py36: Tensorflow 1.13.1 wheels with Cuda 10.0
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 0e532d2e..5ac694b5 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -1,4 +1,4 @@
-FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu16.04 AS nvidia
+FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04 AS nvidia
 FROM continuumio/anaconda3:5.2.0
 
 # Avoid interactive configuration prompts/dialogs during apt-get.
@@ -15,8 +15,8 @@ COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
 
 # Ensure the cuda libraries are compatible with the GPU image.
 # TODO(b/120050292): Use templating to keep in sync.
-ENV CUDA_VERSION=10.1.105
-ENV CUDA_PKG_VERSION=10-1=$CUDA_VERSION-1
+ENV CUDA_VERSION=10.0.130
+ENV CUDA_PKG_VERSION=10-0=$CUDA_VERSION-1
 LABEL com.nvidia.volumes.needed="nvidia_driver"
 LABEL com.nvidia.cuda.version="${CUDA_VERSION}"
 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
@@ -28,7 +28,7 @@ ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
 ENV LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs"
 ENV NVIDIA_VISIBLE_DEVICES=all
 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
-ENV NVIDIA_REQUIRE_CUDA="cuda>=10.1"
+ENV NVIDIA_REQUIRE_CUDA="cuda>=10.0"
 RUN apt-get update && apt-get install -y --no-install-recommends \
       cuda-cupti-$CUDA_PKG_VERSION \
       cuda-cudart-$CUDA_PKG_VERSION \
@@ -38,11 +38,11 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
       cuda-nvml-dev-$CUDA_PKG_VERSION \
       cuda-minimal-build-$CUDA_PKG_VERSION \
       cuda-command-line-tools-$CUDA_PKG_VERSION \
-      libcudnn7=7.5.0.56-1+cuda10.1 \
-      libcudnn7-dev=7.5.0.56-1+cuda10.1 \
-      libnccl2=2.4.2-1+cuda10.1 \
-      libnccl-dev=2.4.2-1+cuda10.1 && \
-    ln -s /usr/local/cuda-10.1 /usr/local/cuda && \
+      libcudnn7=7.5.0.56-1+cuda10.0 \
+      libcudnn7-dev=7.5.0.56-1+cuda10.0 \
+      libnccl2=2.4.2-1+cuda10.0 \
+      libnccl-dev=2.4.2-1+cuda10.0 && \
+    ln -s /usr/local/cuda-10.0 /usr/local/cuda && \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 && \
     rm -rf /var/lib/apt/lists/*
 
@@ -82,7 +82,7 @@ RUN cd /usr/local/src/tensorflow && \
 
 # Create a tensorflow wheel for GPU/cuda
 ENV TF_NEED_CUDA=1
-ENV TF_CUDA_VERSION=10.1
+ENV TF_CUDA_VERSION=10.0
 # 3.7 is for the K80 and 6.0 is for the P100, 7.5 is for the T4: https://developer.nvidia.com/cuda-gpus
 ENV TF_CUDA_COMPUTE_CAPABILITIES=3.7,6.0,7.5
 ENV TF_CUDNN_VERSION=7

From 7934bce0021d76b71802c16bbad80cb610848f6c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 14 Mar 2019 04:59:14 +0000
Subject: [PATCH 0597/1660] don't delete apt cache

---
 tensorflow-whl/Dockerfile | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 5ac694b5..520fa9e8 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -43,8 +43,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
       libnccl2=2.4.2-1+cuda10.0 \
       libnccl-dev=2.4.2-1+cuda10.0 && \
     ln -s /usr/local/cuda-10.0 /usr/local/cuda && \
-    ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 && \
-    rm -rf /var/lib/apt/lists/*
+    ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
 
 # Install bazel
 # Tensorflow 1.13 requires the Bazel 0.19.2: https://www.tensorflow.org/install/source

From 0c13748d7eb7c8181764b992f96f4be0b32cece8 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 14 Mar 2019 16:49:56 +0000
Subject: [PATCH 0598/1660] Update tf whl version

---
 Dockerfile                | 7 ++++++-
 tensorflow-whl/Dockerfile | 3 +++
 2 files changed, 9 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index a143e269..34080c03 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,6 +1,6 @@
 ARG BASE_TAG=5.2.0
 
-FROM gcr.io/kaggle-images/python-tensorflow-whl:1.12.0-py36 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:1.13.1-py36 as tensorflow_whl
 FROM continuumio/anaconda3:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
@@ -21,6 +21,11 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     apt-get -y install cmake && \
     /tmp/clean-layer.sh
 
+# Tensorflow doesn't support python 3.7 yet. See https://github.com/tensorflow/tensorflow/issues/20517	
+# Fix to install Tensorflow: Downgrade python 3.7->3.6.6.
+RUN conda install -y python=3.6.6 && \
+    /tmp/clean-layer.sh
+
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
 RUN pip install --upgrade seaborn python-dateutil dask && \
     pip install pyyaml joblib pytagcloud husl geopy ml_metrics mne pyshp && \
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 520fa9e8..8ed6427c 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -64,6 +64,9 @@ RUN apt-get install -y gnupg zip && \
     dpkg -i bazel_*.deb && \
     rm bazel_*.deb
 
+# Tensorflow doesn't support python 3.7 yet. See https://github.com/tensorflow/tensorflow/issues/20517
+RUN conda install -y python=3.6.6
+
 # Fetch tensorflow & install dependencies.
 RUN cd /usr/local/src && \
     git clone https://github.com/tensorflow/tensorflow && \

From 0411f8f7b6adcf7489a837f06bb2ef6bce485151 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 18 Mar 2019 23:44:55 +0000
Subject: [PATCH 0599/1660] Install cuDNN 7.4

---
 gpu.Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index e7655de8..bcb6b2a8 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -36,8 +36,8 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
       cuda-nvml-dev-$CUDA_PKG_VERSION \
       cuda-minimal-build-$CUDA_PKG_VERSION \
       cuda-command-line-tools-$CUDA_PKG_VERSION \
-      libcudnn7=7.5.0.56-1+cuda10.0 \
-      libcudnn7-dev=7.5.0.56-1+cuda10.0 \
+      libcudnn7=7.4.2.24-1+cuda10.0 \
+      libcudnn7-dev=7.4.2.24-1+cuda10.0 \
       libnccl2=2.4.2-1+cuda10.0 \
       libnccl-dev=2.4.2-1+cuda10.0 && \
     ln -s /usr/local/cuda-10.0 /usr/local/cuda && \

From 697c501be0a12a3de5160d54344362f1d1f8ec27 Mon Sep 17 00:00:00 2001
From: corochann <corochannz@gmail.com>
Date: Fri, 22 Mar 2019 07:26:39 +0900
Subject: [PATCH 0600/1660] add chainercv package (#446)

---
 Dockerfile              |  1 +
 tests/test_chainercv.py | 35 +++++++++++++++++++++++++++++++++++
 2 files changed, 36 insertions(+)
 create mode 100644 tests/test_chainercv.py

diff --git a/Dockerfile b/Dockerfile
index 34080c03..5444e589 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -480,6 +480,7 @@ RUN pip install flashtext && \
     pip install pymagnitude && \
     pip install pykalman && \
     pip install optuna && \
+    pip install chainercv && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages
diff --git a/tests/test_chainercv.py b/tests/test_chainercv.py
new file mode 100644
index 00000000..0adfbafc
--- /dev/null
+++ b/tests/test_chainercv.py
@@ -0,0 +1,35 @@
+from __future__ import division
+import math
+import numpy
+import unittest
+
+from chainercv.utils import tile_images
+
+
+class TestChainerCV(unittest.TestCase):
+
+    def test_tile_images(self):
+        B = numpy.random.randint(10, 20)
+        n_col = numpy.random.randint(2, 5)
+        H = 30
+        W = 40
+        fill = 128
+        pad = 0
+
+        imgs = numpy.random.uniform(255, size=(B, 3, H, W))
+        tile = tile_images(imgs, n_col, pad, fill=fill)
+
+        if isinstance(pad, int):
+            pad_y = pad
+            pad_x = pad
+        else:
+            pad_y, pad_x = pad
+        n_row = int(math.ceil(B / n_col))
+        self.assertTrue(n_col >= 1 and n_row >= 1)
+        start_y_11 = H + pad_y + pad_y // 2
+        start_x_11 = W + pad_x + pad_x // 2
+        tile_11 = tile[:,
+                       start_y_11:start_y_11 + H,
+                       start_x_11:start_x_11 + W]
+
+        numpy.testing.assert_equal(tile_11, imgs[(n_col - 1) + 2])

From d94d2a660dcc279226926fb1826d23d1305fa7eb Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Tue, 26 Mar 2019 15:21:57 -0700
Subject: [PATCH 0601/1660] =?UTF-8?q?Uses=20KAGGLE=5FKERNEL=5FINTEGRATIONS?=
 =?UTF-8?q?=20to=20determine=20the=20best=20default=20credent=E2=80=A6=20(?=
 =?UTF-8?q?#518)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* Uses KAGGLE_KERNEL_INTEGRATIONS to determine the best default credentials/client to use for bigquery.

* Add more test cases for potential KERNEL_INTEGRATIONS values.
---
 patches/kaggle_gcp.py    | 18 ++++++++++++++++++
 patches/sitecustomize.py | 12 +++++++++---
 tests/test_bigquery.py   | 26 +++++++++++++++++++++++++-
 3 files changed, 52 insertions(+), 4 deletions(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index 0cdadadb..606d21a4 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -5,6 +5,24 @@
 from google.cloud.bigquery._http import Connection
 from kaggle_secrets import UserSecretsClient
 
+def get_integrations():
+    kernel_integrations_var = os.getenv("KAGGLE_KERNEL_INTEGRATIONS")
+    kernel_integrations = KernelIntegrations()
+    if kernel_integrations_var is None:
+        return kernel_integrations
+    map(lambda x: kernel_integrations.add_integration(x.lower()), kernel_integrations_var.split(':')) 
+    return kernel_integrations
+
+class KernelIntegrations():
+    def __init__(self):
+        self.integrations = {}
+
+    def add_integration(self, integration_name):
+        self.integrations[integration_name] = True
+
+    def has_bigquery(self):
+        return 'bigquery' in self.integrations.keys()
+
 
 class KaggleKernelCredentials(credentials.Credentials):
     """Custom Credentials used to authenticate using the Kernel's connected OAuth account.
diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index f7f78e22..9c9982c3 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -1,6 +1,8 @@
 import os
-
+from kaggle_gcp import get_integrations
 kaggle_proxy_token = os.getenv("KAGGLE_DATA_PROXY_TOKEN")
+kernel_integrations_var = os.getenv("KAGGLE_KERNEL_INTEGRATIONS")
+
 bq_user_jwt = os.getenv("KAGGLE_BQ_USER_JWT")
 if kaggle_proxy_token or bq_user_jwt:
     from google.auth import credentials
@@ -8,16 +10,20 @@
     from google.cloud.bigquery._http import Connection
     # TODO: Update this to the correct kaggle.gcp path once we no longer inject modules
     # from the worker.
-    from kaggle_gcp import PublicBigqueryClient
+    from kaggle_gcp import PublicBigqueryClient, KaggleKernelCredentials
 
     def monkeypatch_bq(bq_client, *args, **kwargs):
         data_proxy_project = os.getenv("KAGGLE_DATA_PROXY_PROJECT")
         specified_project = kwargs.get('project')
         specified_credentials = kwargs.get('credentials')
-        if specified_project is None and specified_credentials is None:
+        kernel_integrations = get_integrations()
+        if specified_project is None and specified_credentials is None and not kernel_integrations.has_bigquery():
             print("Using Kaggle's public dataset BigQuery integration.")
             return PublicBigqueryClient(*args, **kwargs)
+
         else:
+            if specified_credentials is None:
+                kwargs['credentials'] = KaggleKernelCredentials()
             return bq_client(*args, **kwargs)
 
     # Monkey patches BigQuery client creation to use proxy or user-connected GCP account.
diff --git a/tests/test_bigquery.py b/tests/test_bigquery.py
index 03184f0d..80cb9426 100644
--- a/tests/test_bigquery.py
+++ b/tests/test_bigquery.py
@@ -62,7 +62,31 @@ def test_project_with_connected_account(self):
         with env:
             client = bigquery.Client(project='ANOTHER_PROJECT', credentials=KaggleKernelCredentials())
             self._test_proxy(client, should_use_proxy=False)
-    
+
+    def test_project_with_empty_integrations(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_BQ_USER_JWT', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', '')
+        with env:
+            client = bigquery.Client(project='ANOTHER_PROJECT', credentials=KaggleKernelCredentials())
+            self._test_proxy(client, should_use_proxy=False)
+
+    def test_project_with_connected_account_default_credentials(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_BQ_USER_JWT', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'GCS:ANOTHER_ONE')
+        with env:
+            client = bigquery.Client(project='ANOTHER_PROJECT', credentials=KaggleKernelCredentials())
+            self._test_proxy(client, should_use_proxy=False)
+
+    def test_project_with_connected_account_unrelated_integrations(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_BQ_USER_JWT', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'BIGQUERY')
+        with env:
+            client = bigquery.Client(project='ANOTHER_PROJECT') 
+            self._test_proxy(client, should_use_proxy=False)
+
     def test_simultaneous_clients(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_BQ_USER_JWT', 'foobar')

From 127c094b1b1e0ec0a4ce26890e0e29c89dd0aedc Mon Sep 17 00:00:00 2001
From: Paul Mooney <30876065+paultimothymooney@users.noreply.github.com>
Date: Fri, 29 Mar 2019 15:45:55 -0600
Subject: [PATCH 0602/1660] Update Dockerfile

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 5444e589..7987d4d8 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -481,6 +481,7 @@ RUN pip install flashtext && \
     pip install pykalman && \
     pip install optuna && \
     pip install chainercv && \
+    pip install plotly_express && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages

From 81e95ceb76bd335c25dc1797e2ee4b1848383cf4 Mon Sep 17 00:00:00 2001
From: RyujiTamaki <e44119rt@gmail.com>
Date: Sat, 30 Mar 2019 23:09:46 +0900
Subject: [PATCH 0603/1660] add allennlp package

---
 Dockerfile             |  1 +
 tests/test_allennlp.py | 15 +++++++++++++++
 2 files changed, 16 insertions(+)
 create mode 100644 tests/test_allennlp.py

diff --git a/Dockerfile b/Dockerfile
index 7987d4d8..a2469d70 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -482,6 +482,7 @@ RUN pip install flashtext && \
     pip install optuna && \
     pip install chainercv && \
     pip install plotly_express && \
+    pip install allennlp && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages
diff --git a/tests/test_allennlp.py b/tests/test_allennlp.py
new file mode 100644
index 00000000..977e62f9
--- /dev/null
+++ b/tests/test_allennlp.py
@@ -0,0 +1,15 @@
+import unittest
+
+from allennlp.data.tokenizers import WordTokenizer
+
+
+class TestAllenNlp(unittest.TestCase):
+    # reference
+    # https://github.com/allenai/allennlp/blob/master/allennlp/tests/data/tokenizers/word_tokenizer_test.py
+    def test_passes_through_correctly(self):
+        tokenizer = WordTokenizer(start_tokens=['@@', '%%'], end_tokens=['^^'])
+        sentence = "this (sentence) has 'crazy' \"punctuation\"."
+        tokens = [t.text for t in tokenizer.tokenize(sentence)]
+        expected_tokens = ["@@", "%%", "this", "(", "sentence", ")", "has", "'", "crazy", "'", "\"",
+                           "punctuation", "\"", ".", "^^"]
+        assert tokens == expected_tokens

From ee961fb1fd4cec8d014ecb84e42239d2308ca956 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 1 Apr 2019 10:15:52 -0700
Subject: [PATCH 0604/1660] Move out of the ImageMagick-* directory before it
 is removed by the clean-layer.sh script

---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 7987d4d8..443b2a07 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -44,6 +44,8 @@ RUN pip install --upgrade seaborn python-dateutil dask && \
     wget --no-verbose https://imagemagick.org/download/ImageMagick.tar.gz && \
     tar xzf ImageMagick.tar.gz && cd `ls -d ImageMagick-*` && pwd && ls -al && ./configure && \
     make -j $(nproc) && make install && \
+    # move out of the ImageMagick-* directory before it is removed by the clean-layer.sh script.
+    cd /usr/local/src && \
     /tmp/clean-layer.sh
 
 # Install tensorflow from a pre-built wheel

From 61de893613de13893140fc19be0ce24c06872b09 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 1 Apr 2019 11:12:16 -0700
Subject: [PATCH 0605/1660] Ensures the current working directory won't be
 deleted

As part of the cleanup procedure
---
 clean-layer.sh | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/clean-layer.sh b/clean-layer.sh
index fd14c1ee..d1a048fc 100755
--- a/clean-layer.sh
+++ b/clean-layer.sh
@@ -16,6 +16,8 @@ rm -rf /root/.cache/pip/*
 apt-get autoremove -y
 # Delete downloaded archive files
 apt-get clean
+# Ensures the current working directory won't be deleted
+cd /usr/local/src/
 # Delete source files used for building binaries
 rm -rf /usr/local/src/*
 # Delete conda downloaded tarballs

From 368273e26942f62412183581d5a056074c8a0f9c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 1 Apr 2019 17:19:53 -0700
Subject: [PATCH 0606/1660] Remove cd command now done in clean-layer

---
 Dockerfile | 2 --
 1 file changed, 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 443b2a07..7987d4d8 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -44,8 +44,6 @@ RUN pip install --upgrade seaborn python-dateutil dask && \
     wget --no-verbose https://imagemagick.org/download/ImageMagick.tar.gz && \
     tar xzf ImageMagick.tar.gz && cd `ls -d ImageMagick-*` && pwd && ls -al && ./configure && \
     make -j $(nproc) && make install && \
-    # move out of the ImageMagick-* directory before it is removed by the clean-layer.sh script.
-    cd /usr/local/src && \
     /tmp/clean-layer.sh
 
 # Install tensorflow from a pre-built wheel

From aad9029417033f3a14563e2219f9ac3b322bf0f9 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philippe.modard@gmail.com>
Date: Thu, 11 Apr 2019 12:03:06 -0400
Subject: [PATCH 0607/1660] do not pin fbprophet anymore
 https://www.kaggle.com/product-feedback/29329#513221 (#533)

---
 Dockerfile | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 7987d4d8..3d94fc4b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -288,10 +288,7 @@ RUN pip install fancyimpute && \
     pip install pyexcel-ods && \
     pip install sklearn-pandas && \
     pip install stemming && \
-    # Latest version of fbprophet fails with incompatibility with PyStan. From the logs:
-    # pystan:Something went wrong while unpickling the StanModel. Consider recompiling 
-    # See: https://github.com/facebook/prophet/issues/775
-    pip install fbprophet==0.3.post2 && \
+    pip install fbprophet && \
     pip install holoviews && \
     # 1.6.2 is not currently supported by the version of matplotlib we are using.
     # See other comments about why matplotlib is pinned.

From ae4a0ecd4fdb832e029b35b0162ab3e471289df9 Mon Sep 17 00:00:00 2001
From: Sam Harris <sam@kaggle.com>
Date: Fri, 12 Apr 2019 15:52:51 -0700
Subject: [PATCH 0608/1660] Added support for args and kwargs when using the
 public bigquery proxy

---
 patches/kaggle_gcp.py  | 4 ++--
 tests/test_bigquery.py | 7 +++++++
 2 files changed, 9 insertions(+), 2 deletions(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index 606d21a4..0bd52a1f 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -57,12 +57,12 @@ class PublicBigqueryClient(bigquery.client.Client):
     client = PublicBigqueryClient()
     """
 
-    def __init__(self):
+    def __init__(self, *args, **kwargs):
         data_proxy_project = os.getenv("KAGGLE_DATA_PROXY_PROJECT")
         anon_credentials = credentials.AnonymousCredentials()
         anon_credentials.refresh = lambda *args: None
         super().__init__(
-            project=data_proxy_project, credentials=anon_credentials
+            project=data_proxy_project, credentials=anon_credentials, *args, **kwargs
         )
         # TODO: Remove this once https://github.com/googleapis/google-cloud-python/issues/7122 is implemented.
         self._connection = _DataProxyConnection(self)
diff --git a/tests/test_bigquery.py b/tests/test_bigquery.py
index 80cb9426..9c6b0501 100644
--- a/tests/test_bigquery.py
+++ b/tests/test_bigquery.py
@@ -56,6 +56,13 @@ def test_proxy_no_project(self):
             client = bigquery.Client()
             self._test_proxy(client, should_use_proxy=True)
 
+    def test_proxy_with_kwargs(self):
+        env = EnvironmentVarGuard()
+        env.unset('KAGGLE_BQ_USER_JWT')
+        with env:
+            client = bigquery.Client(default_query_job_config=bigquery.QueryJobConfig(maximum_bytes_billed=1e9))
+            self._test_proxy(client, should_use_proxy=True)
+
     def test_project_with_connected_account(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_BQ_USER_JWT', 'foobar')

From 5d5d7a8dcc08d7a85d4028ebdbf46c5226904001 Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Fri, 19 Apr 2019 01:10:36 -0400
Subject: [PATCH 0609/1660] Fixed subtle bug where map() function was lazy and
 never executed, so we didn't pick up that the user had an integration
 connected. Also cleaned up the code to remove incorrect env var name and
 unused variables. (#536)

---
 patches/kaggle_gcp.py    |  7 +++--
 patches/sitecustomize.py |  3 +-
 tests/test_bigquery.py   | 67 +++++++++++++++++++++++-----------------
 3 files changed, 45 insertions(+), 32 deletions(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index 0bd52a1f..b8aeddef 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -1,18 +1,21 @@
 import os
 from google.auth import credentials
-from google.auth.exceptions import RefreshError 
+from google.auth.exceptions import RefreshError
 from google.cloud import bigquery
 from google.cloud.bigquery._http import Connection
 from kaggle_secrets import UserSecretsClient
 
+
 def get_integrations():
     kernel_integrations_var = os.getenv("KAGGLE_KERNEL_INTEGRATIONS")
     kernel_integrations = KernelIntegrations()
     if kernel_integrations_var is None:
         return kernel_integrations
-    map(lambda x: kernel_integrations.add_integration(x.lower()), kernel_integrations_var.split(':')) 
+    for integration in kernel_integrations_var.split(':'):
+        kernel_integrations.add_integration(integration.lower())
     return kernel_integrations
 
+
 class KernelIntegrations():
     def __init__(self):
         self.integrations = {}
diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index 9c9982c3..3f980625 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -3,7 +3,7 @@
 kaggle_proxy_token = os.getenv("KAGGLE_DATA_PROXY_TOKEN")
 kernel_integrations_var = os.getenv("KAGGLE_KERNEL_INTEGRATIONS")
 
-bq_user_jwt = os.getenv("KAGGLE_BQ_USER_JWT")
+bq_user_jwt = os.getenv("KAGGLE_USER_SECRETS_TOKEN")
 if kaggle_proxy_token or bq_user_jwt:
     from google.auth import credentials
     from google.cloud import bigquery
@@ -13,7 +13,6 @@
     from kaggle_gcp import PublicBigqueryClient, KaggleKernelCredentials
 
     def monkeypatch_bq(bq_client, *args, **kwargs):
-        data_proxy_project = os.getenv("KAGGLE_DATA_PROXY_PROJECT")
         specified_project = kwargs.get('project')
         specified_credentials = kwargs.get('credentials')
         kernel_integrations = get_integrations()
diff --git a/tests/test_bigquery.py b/tests/test_bigquery.py
index 9c6b0501..d25d9221 100644
--- a/tests/test_bigquery.py
+++ b/tests/test_bigquery.py
@@ -12,95 +12,105 @@
 
 
 class TestBigQuery(unittest.TestCase):
-    
+
     def _test_proxy(self, client, should_use_proxy):
         class HTTPHandler(BaseHTTPRequestHandler):
             called = False
             header_found = False
 
-            def do_HEAD(s):
-                s.send_response(200)
+            def do_HEAD(self):
+                self.send_response(200)
 
-            def do_GET(s):
+            def do_GET(self):
                 HTTPHandler.called = True
-                HTTPHandler.header_found = any(k for k in s.headers if k == "X-KAGGLE-PROXY-DATA" and s.headers[k] == "test-key")
-                s.send_response(200)
+                HTTPHandler.header_found = any(
+                    k for k in self.headers if k == "X-KAGGLE-PROXY-DATA" and self.headers[k] == "test-key")
+                self.send_response(200)
 
         server_address = urlparse(os.getenv('KAGGLE_DATA_PROXY_URL'))
         with HTTPServer((server_address.hostname, server_address.port), HTTPHandler) as httpd:
             threading.Thread(target=httpd.serve_forever).start()
 
             try:
-                for ds in client.list_datasets(): pass
+                for _ in client.list_datasets():
+                    pass
             except:
                 pass
 
             httpd.shutdown()
             if should_use_proxy:
-                self.assertTrue(HTTPHandler.called, msg="Fake server did not receive a request from the BQ client.")
-                self.assertTrue(HTTPHandler.header_found, msg="X-KAGGLE-PROXY-DATA header was missing from the BQ request.")
+                self.assertTrue(
+                    HTTPHandler.called, msg="Fake server did not receive a request from the BQ client.")
+                self.assertTrue(
+                    HTTPHandler.header_found, msg="X-KAGGLE-PROXY-DATA header was missing from the BQ request.")
             else:
-                self.assertFalse(HTTPHandler.called, msg="Fake server was called from the BQ client, but should not have been.")
+                self.assertFalse(
+                    HTTPHandler.called, msg="Fake server was called from the BQ client, but should not have been.")
 
     def test_proxy_using_library(self):
         env = EnvironmentVarGuard()
-        env.unset('KAGGLE_BQ_USER_JWT')
+        env.unset('KAGGLE_USER_SECRETS_TOKEN')
         with env:
             client = PublicBigqueryClient()
             self._test_proxy(client, should_use_proxy=True)
 
     def test_proxy_no_project(self):
         env = EnvironmentVarGuard()
-        env.unset('KAGGLE_BQ_USER_JWT')
+        env.unset('KAGGLE_USER_SECRETS_TOKEN')
         with env:
             client = bigquery.Client()
             self._test_proxy(client, should_use_proxy=True)
 
     def test_proxy_with_kwargs(self):
         env = EnvironmentVarGuard()
-        env.unset('KAGGLE_BQ_USER_JWT')
+        env.unset('KAGGLE_USER_SECRETS_TOKEN')
         with env:
-            client = bigquery.Client(default_query_job_config=bigquery.QueryJobConfig(maximum_bytes_billed=1e9))
+            client = bigquery.Client(
+                default_query_job_config=bigquery.QueryJobConfig(maximum_bytes_billed=1e9))
             self._test_proxy(client, should_use_proxy=True)
 
     def test_project_with_connected_account(self):
         env = EnvironmentVarGuard()
-        env.set('KAGGLE_BQ_USER_JWT', 'foobar')
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         with env:
-            client = bigquery.Client(project='ANOTHER_PROJECT', credentials=KaggleKernelCredentials())
+            client = bigquery.Client(
+                project='ANOTHER_PROJECT', credentials=KaggleKernelCredentials())
             self._test_proxy(client, should_use_proxy=False)
 
     def test_project_with_empty_integrations(self):
         env = EnvironmentVarGuard()
-        env.set('KAGGLE_BQ_USER_JWT', 'foobar')
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         env.set('KAGGLE_KERNEL_INTEGRATIONS', '')
         with env:
-            client = bigquery.Client(project='ANOTHER_PROJECT', credentials=KaggleKernelCredentials())
+            client = bigquery.Client(
+                project='ANOTHER_PROJECT', credentials=KaggleKernelCredentials())
             self._test_proxy(client, should_use_proxy=False)
 
-    def test_project_with_connected_account_default_credentials(self):
+    def test_project_with_connected_account_unrelated_integrations(self):
         env = EnvironmentVarGuard()
-        env.set('KAGGLE_BQ_USER_JWT', 'foobar')
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         env.set('KAGGLE_KERNEL_INTEGRATIONS', 'GCS:ANOTHER_ONE')
         with env:
-            client = bigquery.Client(project='ANOTHER_PROJECT', credentials=KaggleKernelCredentials())
+            client = bigquery.Client(
+                project='ANOTHER_PROJECT', credentials=KaggleKernelCredentials())
             self._test_proxy(client, should_use_proxy=False)
 
-    def test_project_with_connected_account_unrelated_integrations(self):
+    def test_project_with_connected_account_default_credentials(self):
         env = EnvironmentVarGuard()
-        env.set('KAGGLE_BQ_USER_JWT', 'foobar')
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         env.set('KAGGLE_KERNEL_INTEGRATIONS', 'BIGQUERY')
         with env:
-            client = bigquery.Client(project='ANOTHER_PROJECT') 
+            client = bigquery.Client(project='ANOTHER_PROJECT')
             self._test_proxy(client, should_use_proxy=False)
 
     def test_simultaneous_clients(self):
         env = EnvironmentVarGuard()
-        env.set('KAGGLE_BQ_USER_JWT', 'foobar')
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         with env:
             proxy_client = bigquery.Client()
             self._test_proxy(proxy_client, should_use_proxy=True)
-            bq_client = bigquery.Client(project='ANOTHER_PROJECT', credentials=KaggleKernelCredentials())
+            bq_client = bigquery.Client(
+                project='ANOTHER_PROJECT', credentials=KaggleKernelCredentials())
             self._test_proxy(bq_client, should_use_proxy=False)
             # Verify that proxy client is still going to proxy to ensure global Connection
             # isn't being modified.
@@ -108,10 +118,11 @@ def test_simultaneous_clients(self):
 
     def test_no_project_with_connected_account(self):
         env = EnvironmentVarGuard()
-        env.set('KAGGLE_BQ_USER_JWT', 'foobar')
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'BIGQUERY')
         with env:
             with self.assertRaises(DefaultCredentialsError):
                 # TODO(vimota): Handle this case, either default to Kaggle Proxy or use some default project
                 # by the user or throw a custom exception.
-                client = bigquery.Client(credentials=KaggleKernelCredentials())
+                client = bigquery.Client()
                 self._test_proxy(client, should_use_proxy=False)

From 20bbb95c04e40e007d97f05af6730d65936beda7 Mon Sep 17 00:00:00 2001
From: Dan Becker <dansbecker@gmail.com>
Date: Fri, 19 Apr 2019 11:21:21 -0600
Subject: [PATCH 0610/1660] Use newest version of pdpbox (fixes bug on
 contour_label_font)

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 3d94fc4b..79ffa81c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -467,7 +467,7 @@ RUN pip install flashtext && \
     pip install trackml && \
     pip install tensorflow_hub && \
     pip install jieba  && \
-    pip install PDPbox && \
+    pip install git+https://github.com/SauceCat/PDPbox && \
     pip install ggplot && \
     pip install cesium && \
     pip install rgf_python && \

From 1f426ed8387cf4aa26cbb193098ca8d7dcfa50b8 Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Thu, 25 Apr 2019 12:59:35 -0400
Subject: [PATCH 0611/1660] =?UTF-8?q?Adds=20error=20handling=20messages=20?=
 =?UTF-8?q?for=20the=20user=20when=20they=20should=20be=20adding=20?=
 =?UTF-8?q?=E2=80=A6=20(#539)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* Adds error handling messages for the user when they should be adding a BQ integration

* Update copy.
---
 patches/kaggle_gcp.py    | 14 ++++++++++++++
 patches/sitecustomize.py |  7 +++++--
 2 files changed, 19 insertions(+), 2 deletions(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index b8aeddef..8454d490 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -2,6 +2,7 @@
 from google.auth import credentials
 from google.auth.exceptions import RefreshError
 from google.cloud import bigquery
+from google.cloud.exceptions import Forbidden
 from google.cloud.bigquery._http import Connection
 from kaggle_secrets import UserSecretsClient
 
@@ -39,6 +40,9 @@ def refresh(self, request):
             client = UserSecretsClient()
             self.token, self.expiry = client.get_bigquery_access_token()
         except Exception as e:
+            if (not get_integrations().has_bigquery()):
+                print(
+                    'Please ensure you have selected a BigQuery account in the Kernels Settings sidebar.')
             raise RefreshError('Unable to refresh access token.') from e
 
 
@@ -52,6 +56,16 @@ def __init__(self, client):
         self._EXTRA_HEADERS["X-KAGGLE-PROXY-DATA"] = os.getenv(
             "KAGGLE_DATA_PROXY_TOKEN")
 
+    def api_request(self, *args, **kwargs):
+        """Wrap Connection.api_request in order to handle errors gracefully.
+        """
+        try:
+            super().api_request(*args, **kwargs)
+        except Forbidden as e:
+            print("Permission denied using Kaggle's public BigQuery integration. "
+                  "Did you mean to select a BigQuery account in the Kernels Settings sidebar?")
+            raise e
+
 
 class PublicBigqueryClient(bigquery.client.Client):
     """A modified BigQuery client that routes requests using Kaggle's Data Proxy to provide free access to Public Datasets.
diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index 3f980625..d9e30fec 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -15,14 +15,17 @@
     def monkeypatch_bq(bq_client, *args, **kwargs):
         specified_project = kwargs.get('project')
         specified_credentials = kwargs.get('credentials')
-        kernel_integrations = get_integrations()
-        if specified_project is None and specified_credentials is None and not kernel_integrations.has_bigquery():
+        has_bigquery = get_integrations().has_bigquery()
+        if specified_project is None and specified_credentials is None and not has_bigquery:
             print("Using Kaggle's public dataset BigQuery integration.")
             return PublicBigqueryClient(*args, **kwargs)
 
         else:
             if specified_credentials is None:
                 kwargs['credentials'] = KaggleKernelCredentials()
+                if (not has_bigquery):
+                    print('Please ensure you have selected a BigQuery '
+                          'account in the Kernels Settings sidebar.')
             return bq_client(*args, **kwargs)
 
     # Monkey patches BigQuery client creation to use proxy or user-connected GCP account.

From c039845477731a42b2668aabc42cc3d880bc9eef Mon Sep 17 00:00:00 2001
From: Anton Repushko <repushko.a@gmail.com>
Date: Thu, 25 Apr 2019 23:10:28 +0300
Subject: [PATCH 0612/1660] Add albumentations library (#538)

* Add albumentations to Dockerfile

* Create test on albumentations library
---
 Dockerfile                   |  1 +
 tests/test_albumentations.py | 10 ++++++++++
 2 files changed, 11 insertions(+)
 create mode 100644 tests/test_albumentations.py

diff --git a/Dockerfile b/Dockerfile
index 3d94fc4b..ad4cfd33 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -479,6 +479,7 @@ RUN pip install flashtext && \
     pip install optuna && \
     pip install chainercv && \
     pip install plotly_express && \
+    pip install albumentations && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages
diff --git a/tests/test_albumentations.py b/tests/test_albumentations.py
new file mode 100644
index 00000000..677c90c2
--- /dev/null
+++ b/tests/test_albumentations.py
@@ -0,0 +1,10 @@
+import unittest
+
+import cv2
+from albumentations import HorizontalFlip
+
+class TestAlbumentations(unittest.TestCase):
+    def test_rotate(self):
+        image = cv2.imread('/input/tests/data/dot.png')
+        aug = HorizontalFlip(p=1)
+        image_rotated = aug(image=image)['image']

From 54c6812d900b52cecab01ca4ee3797ffdb3e7374 Mon Sep 17 00:00:00 2001
From: Philmod <philmod@google.com>
Date: Tue, 30 Apr 2019 16:10:29 -0400
Subject: [PATCH 0613/1660] upgrade anaconda version

---
 Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index d24c5cdd..560a15f8 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,4 +1,4 @@
-ARG BASE_TAG=5.2.0
+ARG BASE_TAG=5.3.0
 
 FROM gcr.io/kaggle-images/python-tensorflow-whl:1.13.1-py36 as tensorflow_whl
 FROM continuumio/anaconda3:${BASE_TAG}
@@ -479,8 +479,8 @@ RUN pip install flashtext && \
     pip install optuna && \
     pip install chainercv && \
     pip install plotly_express && \
-    pip install allennlp && \
     pip install albumentations && \
+    pip install allennlp && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages

From 5862500404bf2b1e5fb58043fc7c00907b8980e0 Mon Sep 17 00:00:00 2001
From: Dan Becker <dansbecker@gmail.com>
Date: Tue, 14 May 2019 10:01:11 -0600
Subject: [PATCH 0614/1660] Add tests for pdpbox

---
 tests/data/fifa_2018_stats.csv | 129 +++++++++++++++++++++++++++++++++
 tests/test_pdpbox.py           |  25 +++++++
 2 files changed, 154 insertions(+)
 create mode 100644 tests/data/fifa_2018_stats.csv
 create mode 100644 tests/test_pdpbox.py

diff --git a/tests/data/fifa_2018_stats.csv b/tests/data/fifa_2018_stats.csv
new file mode 100644
index 00000000..7bc23f79
--- /dev/null
+++ b/tests/data/fifa_2018_stats.csv
@@ -0,0 +1,129 @@
+Date,Team,Opponent,Goal Scored,Ball Possession %,Attempts,On-Target,Off-Target,Blocked,Corners,Offsides,Free Kicks,Saves,Pass Accuracy %,Passes,Distance Covered (Kms),Fouls Committed,Yellow Card,Yellow & Red,Red,Man of the Match,1st Goal,Round,PSO,Goals in PSO,Own goals,Own goal Time
+14-06-2018,Russia,Saudi Arabia,5,40,13,7,3,3,6,3,11,0,78,306,118,22,0,0,0,Yes,12,Group Stage,No,0,,
+14-06-2018,Saudi Arabia,Russia,0,60,6,0,3,3,2,1,25,2,86,511,105,10,0,0,0,No,,Group Stage,No,0,,
+15-06-2018,Egypt,Uruguay,0,43,8,3,3,2,0,1,7,3,78,395,112,12,2,0,0,No,,Group Stage,No,0,,
+15-06-2018,Uruguay,Egypt,1,57,14,4,6,4,5,1,13,3,86,589,111,6,0,0,0,Yes,89,Group Stage,No,0,,
+15-06-2018,Morocco,Iran,0,64,13,3,6,4,5,0,14,2,86,433,101,22,1,0,0,No,,Group Stage,No,0,1,90
+15-06-2018,Iran,Morocco,1,36,8,2,5,1,2,0,22,2,86,194,100,14,3,0,0,Yes,90,Group Stage,No,0,,
+15-06-2018,Portugal,Spain,3,39,8,3,2,3,4,1,13,2,87,366,102,12,1,0,0,No,4,Group Stage,No,0,,
+15-06-2018,Spain,Portugal,3,61,12,5,5,2,5,3,13,0,93,727,103,10,1,0,0,Yes,24,Group Stage,No,0,,
+16-06-2018,France,Australia,2,51,12,5,4,3,5,0,19,1,87,484,103,16,1,0,0,Yes,58,Group Stage,No,0,,
+16-06-2018,Australia,France,1,49,4,1,2,1,1,0,16,4,85,390,111,19,3,0,0,No,62,Group Stage,No,0,1,81
+16-06-2018,Argentina,Iceland,1,72,26,7,9,10,10,0,15,2,92,718,101,10,0,0,0,No,19,Group Stage,No,0,,
+16-06-2018,Iceland,Argentina,1,28,9,3,5,1,2,0,10,7,67,189,105,15,0,0,0,Yes,23,Group Stage,No,0,,
+16-06-2018,Peru,Denmark,0,52,18,6,7,5,3,5,21,2,85,394,104,10,1,0,0,No,,Group Stage,No,0,,
+16-06-2018,Denmark,Peru,1,48,10,3,5,2,7,3,15,6,82,342,110,18,2,0,0,Yes,59,Group Stage,No,0,,
+17-06-2018,Croatia,Nigeria,2,54,11,2,7,2,6,2,17,2,84,462,104,20,2,0,0,Yes,32,Group Stage,No,0,,
+17-06-2018,Nigeria,Croatia,0,46,14,2,5,7,5,1,22,1,84,388,101,16,1,0,0,No,,Group Stage,No,0,1,32
+17-06-2018,Costa Rica,Serbia,0,50,10,3,3,4,5,1,18,2,83,428,107,18,2,0,0,No,,Group Stage,No,0,,
+17-06-2018,Serbia,Costa Rica,1,50,10,3,5,2,4,3,19,3,83,392,109,15,2,0,0,Yes,56,Group Stage,No,0,,
+17-06-2018,Germany,Mexico,0,60,25,9,9,7,8,1,17,3,88,595,110,10,2,0,0,Yes,,Group Stage,No,0,,
+17-06-2018,Mexico,Germany,1,40,12,4,6,2,1,2,11,9,82,281,106,15,2,0,0,No,35,Group Stage,No,0,,
+17-06-2018,Brazil,Switzerland,1,52,20,4,9,7,7,1,19,1,88,521,103,12,1,0,0,Yes,20,Group Stage,No,0,,
+17-06-2018,Switzerland,Brazil,1,48,6,2,4,0,2,0,13,3,83,436,108,19,3,0,0,No,50,Group Stage,No,0,,
+18-06-2018,Sweden,Korea Republic,1,52,15,4,5,6,6,1,23,0,84,417,102,20,1,0,0,Yes,65,Group Stage,No,0,,
+18-06-2018,Korea Republic,Sweden,0,48,5,0,2,3,5,0,21,3,79,351,103,23,2,0,0,No,,Group Stage,No,0,,
+18-06-2018,Belgium,Panama,3,61,15,6,7,2,9,1,21,2,89,544,102,17,3,0,0,Yes,47,Group Stage,No,0,,
+18-06-2018,Panama,Belgium,0,39,6,2,4,0,3,3,18,2,82,317,100,18,5,0,0,No,,Group Stage,No,0,,
+18-06-2018,Tunisia,England,1,41,6,1,3,2,2,2,11,5,82,326,103,14,0,0,0,No,11,Group Stage,No,0,,
+18-06-2018,England,Tunisia,2,59,17,7,7,3,7,3,16,0,91,492,105,8,1,0,0,Yes,35,Group Stage,No,0,,
+19-06-2018,Colombia,Japan,1,41,8,3,1,4,3,2,10,4,82,352,93,15,2,0,1,No,39,Group Stage,No,0,,
+19-06-2018,Japan,Colombia,2,59,14,6,5,3,6,1,17,2,87,565,101,9,1,0,0,Yes,6,Group Stage,No,0,,
+19-06-2018,Poland,Senegal,1,57,10,4,5,1,3,3,18,1,88,552,110,8,1,0,0,No,37,Group Stage,No,0,1,37
+19-06-2018,Senegal,Poland,2,43,8,2,4,2,3,3,11,3,81,328,107,15,2,0,0,Yes,60,Group Stage,No,0,,
+19-06-2018,Russia,Egypt,3,47,11,3,5,3,7,0,10,0,76,380,115,11,1,0,0,Yes,59,Group Stage,No,0,,
+19-06-2018,Egypt,Russia,1,53,13,1,8,4,4,0,11,1,81,438,110,10,1,0,0,No,47,Group Stage,No,0,1,47
+20-06-2018,Portugal,Morocco,1,47,10,2,4,4,5,1,24,4,76,387,105,19,1,0,0,Yes,4,Group Stage,No,0,,
+20-06-2018,Morocco,Portugal,0,53,16,4,10,2,7,1,20,1,77,466,107,23,1,0,0,No,,Group Stage,No,0,,
+20-06-2018,Uruguay,Saudi Arabia,1,47,13,4,6,3,3,1,15,3,88,521,101,10,0,0,0,Yes,23,Group Stage,No,0,,
+20-06-2018,Saudi Arabia,Uruguay,0,53,8,3,3,2,4,2,11,3,86,590,100,13,0,0,0,No,,Group Stage,No,0,,
+20-06-2018,Iran,Spain,0,30,5,0,5,0,2,2,15,2,69,219,106,14,2,0,0,No,,Group Stage,No,0,,
+20-06-2018,Spain,Iran,1,70,17,3,6,8,6,1,16,0,89,805,105,14,0,0,0,Yes,54,Group Stage,No,0,,
+21-06-2018,Denmark,Australia,1,49,10,5,5,0,3,1,5,4,88,458,112,7,2,0,0,Yes,7,Group Stage,No,0,,
+21-06-2018,Australia,Denmark,1,51,14,5,5,4,5,0,8,5,85,520,114,5,0,0,0,No,38,Group Stage,No,0,,
+21-06-2018,France,Peru,1,44,12,4,6,2,5,0,16,2,77,405,103,11,2,0,0,Yes,34,Group Stage,No,0,,
+21-06-2018,Peru,France,0,56,10,2,6,2,3,1,11,3,81,532,102,15,2,0,0,No,,Group Stage,No,0,,
+21-06-2018,Argentina,Croatia,0,58,10,3,3,4,5,3,26,2,81,505,101,15,3,0,0,No,,Group Stage,No,0,,
+21-06-2018,Croatia,Argentina,3,42,15,5,6,4,2,3,18,3,80,372,104,23,4,0,0,Yes,53,Group Stage,No,0,,
+22-06-2018,Brazil,Costa Rica,2,66,23,9,9,5,10,3,14,0,90,732,105,11,2,0,0,Yes,90,Group Stage,No,0,,
+22-06-2018,Costa Rica,Brazil,0,34,4,0,4,0,1,3,14,7,73,271,109,11,1,0,0,No,,Group Stage,No,0,,
+22-06-2018,Nigeria,Iceland,2,58,16,4,6,6,6,1,10,3,84,473,100,9,1,0,0,Yes,49,Group Stage,No,0,,
+22-06-2018,Iceland,Nigeria,0,42,10,3,6,1,5,0,10,2,75,291,106,10,0,0,0,No,,Group Stage,No,0,,
+22-06-2018,Serbia,Switzerland,1,42,12,3,7,2,3,0,15,3,78,309,116,17,4,0,0,No,5,Group Stage,No,0,,
+22-06-2018,Switzerland,Serbia,2,58,20,5,8,7,7,3,17,2,87,547,112,12,1,0,0,Yes,52,Group Stage,No,0,,
+23-06-2018,Belgium,Tunisia,5,52,23,12,8,3,5,3,16,3,84,468,104,12,0,0,0,Yes,6,Group Stage,No,0,,
+23-06-2018,Tunisia,Belgium,2,48,15,5,6,4,2,3,15,6,82,477,102,13,1,0,0,No,18,Group Stage,No,0,,
+23-06-2018,Korea Republic,Mexico,1,41,17,6,2,9,7,0,7,3,82,346,99,24,4,0,0,No,90,Group Stage,No,0,,
+23-06-2018,Mexico,Korea Republic,2,59,13,5,6,2,5,0,24,5,89,485,97,7,0,0,0,Yes,26,Group Stage,No,0,,
+23-06-2018,Germany,Sweden,2,71,16,5,4,7,8,5,15,5,91,699,111,12,0,1,0,Yes,48,Group Stage,No,0,,
+23-06-2018,Sweden,Germany,1,29,8,6,1,1,3,2,17,4,77,213,110,13,2,0,0,No,32,Group Stage,No,0,,
+24-06-2018,England,Panama,6,58,12,7,3,2,3,3,13,1,94,593,99,14,1,0,0,Yes,8,Group Stage,No,0,,
+24-06-2018,Panama,England,1,42,8,2,5,1,2,0,17,1,88,398,89,13,3,0,0,No,78,Group Stage,No,0,,
+24-06-2018,Japan,Senegal,2,54,7,3,2,2,2,2,18,5,84,449,105,8,2,0,0,No,34,Group Stage,No,0,,
+24-06-2018,Senegal,Japan,2,46,14,7,5,2,5,4,10,1,79,338,102,14,3,0,0,Yes,11,Group Stage,No,0,,
+24-06-2018,Poland,Colombia,0,45,9,2,3,4,7,1,11,0,79,424,107,15,2,0,0,No,,Group Stage,No,0,,
+24-06-2018,Colombia,Poland,3,55,13,3,5,5,5,1,16,2,82,514,108,10,0,0,0,Yes,40,Group Stage,No,0,,
+25-06-2018,Uruguay,Russia,3,56,17,7,6,4,4,0,20,1,88,492,101,17,1,0,0,Yes,10,Group Stage,No,0,,
+25-06-2018,Russia,Uruguay,0,44,3,1,1,1,2,2,17,5,83,355,98,18,1,1,0,No,,Group Stage,No,0,1,23
+25-06-2018,Saudi Arabia,Egypt,2,61,22,7,10,5,7,1,19,0,90,655,101,7,0,0,0,No,45,Group Stage,No,0,,
+25-06-2018,Egypt,Saudi Arabia,1,39,8,1,6,1,2,3,8,5,82,357,106,16,2,0,0,Yes,22,Group Stage,No,0,,
+25-06-2018,Spain,Morocco,2,68,16,4,11,1,7,1,18,1,91,762,103,5,0,0,0,Yes,19,Group Stage,No,0,,
+25-06-2018,Morocco,Spain,2,32,6,3,2,1,1,1,6,1,84,247,111,17,6,0,0,No,14,Group Stage,No,0,,
+25-06-2018,Iran,Portugal,1,32,8,2,5,1,1,1,12,3,69,226,93,16,2,0,0,No,90,Group Stage,No,0,,
+25-06-2018,Portugal,Iran,1,68,14,4,7,3,5,1,17,1,89,619,89,11,4,0,0,Yes,45,Group Stage,No,0,,
+26-06-2018,Denmark,France,0,38,5,1,2,2,4,1,11,4,72,305,106,10,1,0,0,No,,Group Stage,No,0,,
+26-06-2018,France,Denmark,0,62,11,4,6,1,2,1,11,1,87,669,104,10,0,0,0,Yes,,Group Stage,No,0,,
+26-06-2018,Australia,Peru,0,53,14,2,7,5,8,3,13,1,86,555,105,13,4,0,0,No,,Group Stage,No,0,,
+26-06-2018,Peru,Australia,2,47,4,3,1,0,3,1,16,2,81,418,100,12,2,0,0,Yes,18,Group Stage,No,0,,
+26-06-2018,Nigeria,Argentina,1,34,9,3,5,1,3,0,17,2,76,244,98,20,2,0,0,No,51,Group Stage,No,0,,
+26-06-2018,Argentina,Nigeria,2,66,8,4,3,1,5,2,20,2,84,565,101,15,3,0,0,Yes,14,Group Stage,No,0,,
+26-06-2018,Iceland,Croatia,1,41,17,6,8,3,10,1,12,0,73,324,103,10,3,0,0,Yes,76,Group Stage,No,0,,
+26-06-2018,Croatia,Iceland,2,59,13,2,8,3,5,0,11,5,87,524,101,12,2,0,0,No,53,Group Stage,No,0,,
+27-06-2018,Korea Republic,Germany,2,30,11,5,5,1,3,0,8,7,74,237,118,16,4,0,0,Yes,90,Group Stage,No,0,,
+27-06-2018,Germany,Korea Republic,0,70,26,6,11,9,9,1,16,3,88,719,115,7,0,0,0,No,,Group Stage,No,0,,
+27-06-2018,Mexico,Sweden,0,65,19,3,8,8,7,2,11,3,83,487,95,14,3,0,0,No,,Group Stage,No,0,1,74
+27-06-2018,Sweden,Mexico,3,35,13,5,7,1,3,0,16,3,67,212,102,11,2,0,0,Yes,50,Group Stage,No,0,,
+27-06-2018,Serbia,Brazil,0,44,10,1,5,4,5,2,11,4,78,467,114,13,3,0,0,No,,Group Stage,No,0,,
+27-06-2018,Brazil,Serbia,2,56,13,6,3,4,9,4,15,1,88,631,105,7,0,0,0,Yes,36,Group Stage,No,0,,
+27-06-2018,Switzerland,Costa Rica,2,60,12,3,5,4,6,1,15,5,87,594,103,9,3,0,0,Yes,31,Group Stage,No,0,1,90
+27-06-2018,Costa Rica,Switzerland,2,40,14,6,6,2,5,1,10,1,82,348,103,14,3,0,0,No,56,Group Stage,No,0,,
+28-06-2018,Japan,Poland,0,54,10,3,4,3,5,1,8,2,86,557,83,11,1,0,0,No,,Group Stage,No,0,,
+28-06-2018,Poland,Japan,1,46,11,2,5,4,7,0,12,3,83,462,80,8,0,0,0,Yes,59,Group Stage,No,0,,
+28-06-2018,Senegal,Colombia,0,43,8,3,4,1,1,3,18,1,78,281,97,15,1,0,0,No,,Group Stage,No,0,,
+28-06-2018,Colombia,Senegal,1,57,4,2,1,1,3,3,18,3,83,431,100,15,1,0,0,Yes,74,Group Stage,No,0,,
+28-06-2018,Panama,Tunisia,1,36,9,4,4,1,0,4,20,5,77,284,102,18,3,0,0,No,33,Group Stage,No,0,,
+28-06-2018,Tunisia,Panama,2,64,15,7,4,4,6,1,22,4,87,626,107,19,3,0,0,Yes,51,Group Stage,No,0,1,33
+28-06-2018,England,Belgium,0,48,13,1,7,5,7,3,15,3,88,484,109,11,0,0,0,No,,Group Stage,No,0,,
+28-06-2018,Belgium,England,1,52,15,4,4,7,2,1,14,1,88,556,106,14,2,0,0,Yes,51,Group Stage,No,0,,
+30-06-2018,France,Argentina,4,41,9,4,4,1,0,0,16,1,84,351,97,21,3,0,0,Yes,13,Round of 16,No,0,,
+30-06-2018,Argentina,France,3,59,9,4,1,4,4,1,21,0,86,547,96,15,5,0,0,No,41,Round of 16,No,0,,
+30-06-2018,Uruguay,Portugal,2,39,6,3,2,1,2,0,14,4,69,269,106,13,0,0,0,Yes,7,Round of 16,No,0,,
+30-06-2018,Portugal,Uruguay,1,61,20,5,1,8,10,1,13,1,84,583,107,13,1,0,0,No,55,Round of 16,No,0,,
+01-07-2018,Spain,Russia,1,75,25,9,6,10,6,1,20,0,91,1137,137,5,1,0,0,No,12,Round of 16,Yes,3,,
+01-07-2018,Russia,Spain,1,25,6,1,3,2,5,1,6,9,72,284,146,19,2,0,0,Yes,41,Round of 16,Yes,4,1,12
+01-07-2018,Croatia,Denmark,1,54,22,7,8,7,5,2,19,2,81,626,132,5,0,0,0,Yes,4,Round of 16,Yes,3,,
+01-07-2018,Denmark,Croatia,1,46,15,3,10,2,4,0,7,7,79,539,135,19,1,0,0,No,1,Round of 16,Yes,2,,
+02-07-2018,Brazil,Mexico,2,47,21,10,7,4,8,0,20,1,83,398,92,6,2,0,0,Yes,51,Round of 16,No,0,,
+02-07-2018,Mexico,Brazil,0,53,13,1,4,8,7,2,6,8,85,424,89,18,4,0,0,No,,Round of 16,No,0,,
+02-07-2018,Belgium,Japan,3,56,24,8,10,6,10,1,10,3,87,621,108,13,0,0,0,Yes,69,Round of 16,No,0,,
+02-07-2018,Japan,Belgium,2,44,11,4,4,3,6,1,14,5,83,453,109,9,1,0,0,No,48,Round of 16,No,0,,
+03-07-2018,Sweden,Switzerland,1,37,12,3,6,3,3,1,13,4,73,271,105,11,1,0,0,Yes,66,Round of 16,No,0,,
+03-07-2018,Switzerland,Sweden,0,63,18,4,5,9,11,0,12,2,84,599,103,13,2,0,1,No,,Round of 16,No,0,,
+03-07-2018,Colombia,England,1,48,14,4,7,3,2,1,15,1,78,516,136,23,6,0,0,No,90,Round of 16,Yes,3,,
+03-07-2018,England,Colombia,1,51,16,2,9,5,7,2,24,3,82,571,143,13,2,0,0,Yes,57,Round of 16,Yes,4,,
+06-07-2018,Uruguay,France,0,42,11,4,6,1,4,0,15,0,67,322,103,17,2,0,0,No,,Quarter Finals,No,0,,
+06-07-2018,France,Uruguay,2,58,11,2,7,2,3,0,17,4,81,524,99,15,2,0,0,Yes,40,Quarter Finals,No,0,,
+06-07-2018,Brazil,Belgium,1,57,26,9,7,10,8,1,16,2,89,557,104,14,2,0,0,No,,Quarter Finals,No,0,1,13
+06-07-2018,Belgium,Brazil,2,43,8,3,3,2,4,0,15,9,83,370,105,16,2,0,0,Yes,13,Quarter Finals,No,0,,
+07-07-2018,Sweden,England,0,43,7,3,3,1,1,2,8,0,74,379,107,10,2,0,0,No,,Quarter Finals,No,0,,
+07-07-2018,England,Sweden,2,57,12,2,4,6,6,1,12,3,80,525,110,7,1,0,0,Yes,30,Quarter Finals,No,0,,
+07-07-2018,Russia,Croatia,2,38,13,7,4,2,6,1,18,1,69,399,148,25,1,0,0,No,31,Quarter Finals,Yes,3,,
+07-07-2018,Croatia,Russia,2,62,17,3,10,4,8,0,26,5,82,753,139,18,4,0,0,Yes,39,Quarter Finals,Yes,4,,
+10-07-2018,France,Belgium,1,40,19,5,8,6,4,1,17,3,86,342,102,6,2,0,0,Yes,51,Semi- Finals,No,0,,
+10-07-2018,Belgium,France,0,60,9,3,5,1,5,1,7,4,90,629,102,16,3,0,0,No,,Semi- Finals,No,0,,
+11-07-2018,Croatia,England,2,54,22,7,11,4,8,1,17,0,79,622,143,23,2,0,0,Yes,68,Semi- Finals,No,0,,
+11-07-2018,England,Croatia,1,46,11,1,6,4,4,3,24,5,79,479,148,14,1,0,0,No,5,Semi- Finals,No,0,,
+14-07-2018,Belgium,England,2,43,12,4,3,5,4,1,5,5,88,510,108,11,1,0,0,Yes,4,3rd Place,No,0,,
+14-07-2018,England,Belgium,0,57,15,5,7,3,5,0,12,2,92,698,110,5,2,0,0,No,,3rd Place,No,0,,
+15-07-2018,France,Croatia,4,39,8,6,1,1,2,1,14,1,75,271,99,14,2,0,0,Yes,18,Final,No,0,1,18
+15-07-2018,Croatia,France,2,61,15,3,8,4,6,1,15,3,83,547,100,13,1,0,0,No,28,Final,No,0,,
diff --git a/tests/test_pdpbox.py b/tests/test_pdpbox.py
new file mode 100644
index 00000000..6c037c7f
--- /dev/null
+++ b/tests/test_pdpbox.py
@@ -0,0 +1,25 @@
+import unittest
+import pandas as pd
+from pdpbox import pdp
+from sklearn.model_selection import train_test_split
+from sklearn.tree import DecisionTreeClassifier
+
+class TestPdpbox(unittest.TestCase):
+    def test_simple_pdp(self):
+        # set up data
+        data = pd.read_csv("/input/tests/data/fifa_2018_stats.csv")
+        y = (data['Man of the Match'] == "Yes")
+        feature_names = [i for i in data.columns if data[i].dtype in [np.int64]]
+        X = data[feature_names]
+        train_X, val_X, train_y, val_y = train_test_split(X, y, random_state=1)
+        # Build simple model
+        tree_model = DecisionTreeClassifier(random_state=0,
+                                            max_depth=3).fit(train_X, train_y)
+
+        # Set up pdp as table
+        pdp_goals = pdp.pdp_isolate(model=tree_model,
+                                    dataset=val_X,
+                                    model_features=feature_names,
+                                    feature='Goal Scored')
+        # make plot
+        pdp.pdp_plot(pdp_goals, 'Goal Scored')

From 65069cbf5d35413065856f9c005c478442050df4 Mon Sep 17 00:00:00 2001
From: vfdev-5 <vfdev.5@gmail.com>
Date: Thu, 21 Jun 2018 15:00:54 +0200
Subject: [PATCH 0615/1660] Add pytorch-ignite with test

---
 Dockerfile                   |  1 +
 tests/test_pytorch_ignite.py | 13 +++++++++++++
 2 files changed, 14 insertions(+)
 create mode 100644 tests/test_pytorch_ignite.py

diff --git a/Dockerfile b/Dockerfile
index 560a15f8..74ea5efe 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -481,6 +481,7 @@ RUN pip install flashtext && \
     pip install plotly_express && \
     pip install albumentations && \
     pip install allennlp && \
+    pip install pytorch-ignite && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages
diff --git a/tests/test_pytorch_ignite.py b/tests/test_pytorch_ignite.py
new file mode 100644
index 00000000..aef07ff6
--- /dev/null
+++ b/tests/test_pytorch_ignite.py
@@ -0,0 +1,13 @@
+import unittest
+
+from ignite.engine import Engine
+
+
+class TestPytorchIgnite(unittest.TestCase):
+    def test_engine(self):
+
+        def update_fn(engine, batch):
+            pass
+
+        engine = Engine(update_fn)
+        engine.run([0, 1, 2])

From 17966e7513b19f8ac187b8f508cfe1ef026fd4f2 Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@gmail.com>
Date: Thu, 16 May 2019 16:28:58 -0700
Subject: [PATCH 0616/1660] Add more info to errors in kaggle_secrets. (#546)

---
 patches/kaggle_secrets.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index f3643cb9..7c61a3cc 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -51,7 +51,7 @@ def _make_post_request(self, data: dict) -> dict:
                 response_json = json.loads(response.read())
                 if not response_json.get('wasSuccessful') or 'result' not in response_json:
                     raise BackendError(
-                        'Unexpected response from the service.')
+                        f'Unexpected response from the service. Response: {response_json}.')
                 return response_json['result']
         except HTTPError as e:
             if e.code == 401 or e.code == 403:
@@ -74,7 +74,7 @@ def get_bigquery_access_token(self) -> Tuple[str, Optional[datetime]]:
         response_json = self._make_post_request(request_body)
         if 'secret' not in response_json:
             raise BackendError(
-                'Unexpected response from the service.')
+                f'Unexpected response from the service. Response: {response_json}')
         # Optionally return expiry if it is set.
         expiresInSeconds = response_json.get('expiresInSeconds')
         expiry = datetime.utcnow() + timedelta(seconds=expiresInSeconds) if expiresInSeconds else None

From e47591c8ce50e76147d5ccbe59e2a2c363eae3b2 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philippe.modard@gmail.com>
Date: Fri, 17 May 2019 09:21:32 -0400
Subject: [PATCH 0617/1660] Revert "add allennlp package"

---
 Dockerfile             |  3 +--
 tests/test_allennlp.py | 15 ---------------
 2 files changed, 1 insertion(+), 17 deletions(-)
 delete mode 100644 tests/test_allennlp.py

diff --git a/Dockerfile b/Dockerfile
index 560a15f8..ad4cfd33 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,4 +1,4 @@
-ARG BASE_TAG=5.3.0
+ARG BASE_TAG=5.2.0
 
 FROM gcr.io/kaggle-images/python-tensorflow-whl:1.13.1-py36 as tensorflow_whl
 FROM continuumio/anaconda3:${BASE_TAG}
@@ -480,7 +480,6 @@ RUN pip install flashtext && \
     pip install chainercv && \
     pip install plotly_express && \
     pip install albumentations && \
-    pip install allennlp && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages
diff --git a/tests/test_allennlp.py b/tests/test_allennlp.py
deleted file mode 100644
index 977e62f9..00000000
--- a/tests/test_allennlp.py
+++ /dev/null
@@ -1,15 +0,0 @@
-import unittest
-
-from allennlp.data.tokenizers import WordTokenizer
-
-
-class TestAllenNlp(unittest.TestCase):
-    # reference
-    # https://github.com/allenai/allennlp/blob/master/allennlp/tests/data/tokenizers/word_tokenizer_test.py
-    def test_passes_through_correctly(self):
-        tokenizer = WordTokenizer(start_tokens=['@@', '%%'], end_tokens=['^^'])
-        sentence = "this (sentence) has 'crazy' \"punctuation\"."
-        tokens = [t.text for t in tokenizer.tokenize(sentence)]
-        expected_tokens = ["@@", "%%", "this", "(", "sentence", ")", "has", "'", "crazy", "'", "\"",
-                           "punctuation", "\"", ".", "^^"]
-        assert tokens == expected_tokens

From 8abfbd35cfd0186744a6a495f86da8e9b57faa6d Mon Sep 17 00:00:00 2001
From: philmod <philippe.modard@gmail.com>
Date: Fri, 17 May 2019 09:32:58 -0400
Subject: [PATCH 0618/1660] keep the 5.3.0. version of the base image

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index ad4cfd33..66085d30 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,4 +1,4 @@
-ARG BASE_TAG=5.2.0
+ARG BASE_TAG=5.3.0
 
 FROM gcr.io/kaggle-images/python-tensorflow-whl:1.13.1-py36 as tensorflow_whl
 FROM continuumio/anaconda3:${BASE_TAG}

From c2dbc0ef39c1f9ae9a642842834acf7e8238a4b1 Mon Sep 17 00:00:00 2001
From: philmod <philippe.modard@gmail.com>
Date: Fri, 17 May 2019 09:38:07 -0400
Subject: [PATCH 0619/1660] do not install allennlp dependencies until conflict
 is resolved

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 560a15f8..8da1160e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -480,7 +480,8 @@ RUN pip install flashtext && \
     pip install chainercv && \
     pip install plotly_express && \
     pip install albumentations && \
-    pip install allennlp && \
+    # TODO: install deps when underlying dependency is fixed. https://github.com/Kaggle/docker-python/issues/548
+    pip install --no-dependencies allennlp && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages

From c574bc0832eb8f1d817a6b898f2434a4ec372192 Mon Sep 17 00:00:00 2001
From: philmod <philippe.modard@gmail.com>
Date: Fri, 17 May 2019 12:31:09 -0400
Subject: [PATCH 0620/1660] add clean layer

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index e6a5c72b..6b313d16 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -445,6 +445,7 @@ RUN pip install jsonnet overrides tensorboardX && \
     pip install pytorch-pretrained-bert>=0.6.0 jsonpickle && \
     pip install requests>=2.18 editdistance conllu==0.11 && \
     pip install --no-dependencies allennlp && \
+    /tmp/clean-layer.sh
 
     ###########
     #

From 9d9fa887f5a1edb1e9b4d1d973f178ba852f07fe Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@google.com>
Date: Fri, 17 May 2019 11:57:52 -0700
Subject: [PATCH 0621/1660] =?UTF-8?q?Fix=20unit=20tests=20failing=20from?=
 =?UTF-8?q?=20headers=20missing,=20due=20to=20an=20update=20in=20bigq?=
 =?UTF-8?q?=E2=80=A6=20(#551)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* Fix unit tests failing from headers missing, due to an update in bigquery python library (https://github.com/googleapis/google-cloud-python/pull/7849/files#diff-340196d499e9d0eea25cd457f53bfa42L61).
---
 patches/kaggle_gcp.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index 8454d490..efbcf31e 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -53,7 +53,7 @@ class _DataProxyConnection(Connection):
 
     def __init__(self, client):
         super().__init__(client)
-        self._EXTRA_HEADERS["X-KAGGLE-PROXY-DATA"] = os.getenv(
+        self.extra_headers["X-KAGGLE-PROXY-DATA"] = os.getenv(
             "KAGGLE_DATA_PROXY_TOKEN")
 
     def api_request(self, *args, **kwargs):

From dce1a5fcfbcddb01abf37c3aa39a2086cfc980f3 Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@google.com>
Date: Fri, 17 May 2019 15:07:54 -0700
Subject: [PATCH 0622/1660] Add better error handling for connection timeout,
 especially due to internet off. (#547)

---
 patches/kaggle_gcp.py     |  4 ++++
 patches/kaggle_secrets.py | 20 +++++++++++++++-----
 2 files changed, 19 insertions(+), 5 deletions(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index efbcf31e..8ba93ea9 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -39,6 +39,10 @@ def refresh(self, request):
         try:
             client = UserSecretsClient()
             self.token, self.expiry = client.get_bigquery_access_token()
+        except ConnectionError as e:
+            print("There was a connection error trying to fetch the access token. "
+                  "Please ensure internet is on in order to use the BigQuery Integration.")
+            raise RefreshError('Unable to refresh access token due to connection error.') from e
         except Exception as e:
             if (not get_integrations().has_bigquery()):
                 print(
diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index 7c61a3cc..72514587 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -6,10 +6,11 @@
 
 import json
 import os
+import socket
 import urllib.request
-from urllib.error import HTTPError
-from typing import Tuple, Optional
 from datetime import datetime, timedelta
+from typing import Optional, Tuple
+from urllib.error import HTTPError, URLError
 
 _KAGGLE_DEFAULT_URL_BASE = "https://www.kaggle.com"
 _KAGGLE_URL_BASE_ENV_VAR_NAME = "KAGGLE_URL_BASE"
@@ -53,15 +54,24 @@ def _make_post_request(self, data: dict) -> dict:
                     raise BackendError(
                         f'Unexpected response from the service. Response: {response_json}.')
                 return response_json['result']
+        except (URLError, socket.timeout) as e:
+            if isinstance(
+                    e, socket.timeout) or isinstance(
+                    e.reason, socket.timeout):
+                raise ConnectionError(
+                    'Timeout error trying to communicate with service. Please ensure internet is on.') from e
+            raise ConnectionError(
+                'Connection error trying to communicate with service.') from e
         except HTTPError as e:
             if e.code == 401 or e.code == 403:
-                raise CredentialError(f'Service responded with error code {e.code}.'
-                                      ' Please ensure you have access to the resource.') from e
+                raise CredentialError(
+                    f'Service responded with error code {e.code}.'
+                    ' Please ensure you have access to the resource.') from e
             raise BackendError('Unexpected response from the service.') from e
 
     def get_bigquery_access_token(self) -> Tuple[str, Optional[datetime]]:
         """Retrieves BigQuery access token information from the UserSecrets service.
-        
+
         This returns the token for the current kernel as well as its expiry (abs time) if it
         is present.
         Example usage:

From 8da753bdcb373c5255a4e8f924f4b76b89d8632d Mon Sep 17 00:00:00 2001
From: vfdev <vfdev.5@gmail.com>
Date: Tue, 21 May 2019 17:36:28 +0200
Subject: [PATCH 0623/1660] Update Dockerfile

---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 40249b51..a29b6a8b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -490,7 +490,6 @@ RUN pip install flashtext && \
     pip install chainercv && \
     pip install plotly_express && \
     pip install albumentations && \
-    pip install allennlp && \
     pip install pytorch-ignite && \
     /tmp/clean-layer.sh
 

From 14ddd6ff1cdab317a5f759e0e1897e81e9db0d60 Mon Sep 17 00:00:00 2001
From: Dan Becker <dansbecker@gmail.com>
Date: Tue, 21 May 2019 14:19:39 -0600
Subject: [PATCH 0624/1660] fix missing import in test_pdpbox

---
 tests/test_pdpbox.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/tests/test_pdpbox.py b/tests/test_pdpbox.py
index 6c037c7f..d820f5b0 100644
--- a/tests/test_pdpbox.py
+++ b/tests/test_pdpbox.py
@@ -1,6 +1,7 @@
-import unittest
+import numpy as np
 import pandas as pd
 from pdpbox import pdp
+import unittest
 from sklearn.model_selection import train_test_split
 from sklearn.tree import DecisionTreeClassifier
 

From 3f391a51a138aa463e228e84a4525ba732b4bb56 Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@google.com>
Date: Thu, 23 May 2019 16:25:01 -0700
Subject: [PATCH 0625/1660] =?UTF-8?q?Add=20support=20for=20GOOGLE=5FCLOUD?=
 =?UTF-8?q?=5FPROJECT=20env=20var,=20so=20users=20can=20set=20that=20o?=
 =?UTF-8?q?=E2=80=A6=20(#552)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* Add support for GOOGLE_CLOUD_PROJECT env var, so users can set that once and not need to update each bigquery.client() call.

* Remove leftover print lines.
---
 patches/sitecustomize.py | 13 ++++++++++---
 tests/test_bigquery.py   | 11 ++++++++++-
 2 files changed, 20 insertions(+), 4 deletions(-)

diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index d9e30fec..444b073c 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -5,7 +5,7 @@
 
 bq_user_jwt = os.getenv("KAGGLE_USER_SECRETS_TOKEN")
 if kaggle_proxy_token or bq_user_jwt:
-    from google.auth import credentials
+    from google.auth import credentials, environment_vars
     from google.cloud import bigquery
     from google.cloud.bigquery._http import Connection
     # TODO: Update this to the correct kaggle.gcp path once we no longer inject modules
@@ -13,10 +13,17 @@
     from kaggle_gcp import PublicBigqueryClient, KaggleKernelCredentials
 
     def monkeypatch_bq(bq_client, *args, **kwargs):
-        specified_project = kwargs.get('project')
         specified_credentials = kwargs.get('credentials')
         has_bigquery = get_integrations().has_bigquery()
-        if specified_project is None and specified_credentials is None and not has_bigquery:
+        # Prioritize passed in project id, but if it is missing look for env var. 
+        arg_project = kwargs.get('project')
+        explicit_project_id = arg_project or os.environ.get(environment_vars.PROJECT)
+        # This is a hack to get around the bug in google-cloud library.
+        # Remove these two lines once this is resolved:
+        # https://github.com/googleapis/google-cloud-python/issues/8108
+        if explicit_project_id:
+            kwargs['project'] = explicit_project_id
+        if explicit_project_id is None and specified_credentials is None and not has_bigquery:
             print("Using Kaggle's public dataset BigQuery integration.")
             return PublicBigqueryClient(*args, **kwargs)
 
diff --git a/tests/test_bigquery.py b/tests/test_bigquery.py
index d25d9221..ee0bc483 100644
--- a/tests/test_bigquery.py
+++ b/tests/test_bigquery.py
@@ -66,7 +66,7 @@ def test_proxy_with_kwargs(self):
         env.unset('KAGGLE_USER_SECRETS_TOKEN')
         with env:
             client = bigquery.Client(
-                default_query_job_config=bigquery.QueryJobConfig(maximum_bytes_billed=1e9))
+                default_query_job_config=bigquery.QueryJobConfig(maximum_bytes_billed=int(1e9)))
             self._test_proxy(client, should_use_proxy=True)
 
     def test_project_with_connected_account(self):
@@ -103,6 +103,15 @@ def test_project_with_connected_account_default_credentials(self):
             client = bigquery.Client(project='ANOTHER_PROJECT')
             self._test_proxy(client, should_use_proxy=False)
 
+    def test_project_with_env_var_project_default_credentials(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'BIGQUERY')
+        env.set('GOOGLE_CLOUD_PROJECT', 'ANOTHER_PROJECT')
+        with env:
+            client = bigquery.Client()
+            self._test_proxy(client, should_use_proxy=False)
+
     def test_simultaneous_clients(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')

From 031dbe7610cda75d59120281e4a770a3a889c644 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 24 May 2019 09:37:24 -0700
Subject: [PATCH 0626/1660] Update NVIDIA image used to get the apt repos

---
 gpu.Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index bcb6b2a8..2b336650 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,6 +1,6 @@
 ARG BASE_TAG=staging
 
-FROM nvidia/cuda:9.2-cudnn7-devel-ubuntu16.04 AS nvidia
+FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04 AS nvidia
 FROM gcr.io/kaggle-images/python-tensorflow-whl:1.13.1-py36 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_TAG}
 

From b0cdd485b896ce86794ff5b08d0e5de1d96aef2d Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@google.com>
Date: Fri, 24 May 2019 11:11:43 -0700
Subject: [PATCH 0627/1660] =?UTF-8?q?Add=20magics=20credentials=20monkeypa?=
 =?UTF-8?q?tching=20if=20the=20kernel=20has=20bigquery=20inte=E2=80=A6=20(?=
 =?UTF-8?q?#553)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 patches/sitecustomize.py | 79 ++++++++++++++++++++++------------------
 tests/test_bigquery.py   | 20 ++++++++++
 2 files changed, 64 insertions(+), 35 deletions(-)

diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index 444b073c..05b15efb 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -3,41 +3,50 @@
 kaggle_proxy_token = os.getenv("KAGGLE_DATA_PROXY_TOKEN")
 kernel_integrations_var = os.getenv("KAGGLE_KERNEL_INTEGRATIONS")
 
-bq_user_jwt = os.getenv("KAGGLE_USER_SECRETS_TOKEN")
-if kaggle_proxy_token or bq_user_jwt:
-    from google.auth import credentials, environment_vars
-    from google.cloud import bigquery
-    from google.cloud.bigquery._http import Connection
-    # TODO: Update this to the correct kaggle.gcp path once we no longer inject modules
-    # from the worker.
-    from kaggle_gcp import PublicBigqueryClient, KaggleKernelCredentials
+def init():
+    bq_user_jwt = os.getenv("KAGGLE_USER_SECRETS_TOKEN")
+    if kaggle_proxy_token or bq_user_jwt:
+        from google.auth import credentials, environment_vars
+        from google.cloud import bigquery
+        from google.cloud.bigquery._http import Connection
+        # TODO: Update this to the correct kaggle.gcp path once we no longer inject modules
+        # from the worker.
+        from kaggle_gcp import PublicBigqueryClient, KaggleKernelCredentials
 
-    def monkeypatch_bq(bq_client, *args, **kwargs):
-        specified_credentials = kwargs.get('credentials')
-        has_bigquery = get_integrations().has_bigquery()
-        # Prioritize passed in project id, but if it is missing look for env var. 
-        arg_project = kwargs.get('project')
-        explicit_project_id = arg_project or os.environ.get(environment_vars.PROJECT)
-        # This is a hack to get around the bug in google-cloud library.
-        # Remove these two lines once this is resolved:
-        # https://github.com/googleapis/google-cloud-python/issues/8108
-        if explicit_project_id:
-            kwargs['project'] = explicit_project_id
-        if explicit_project_id is None and specified_credentials is None and not has_bigquery:
-            print("Using Kaggle's public dataset BigQuery integration.")
-            return PublicBigqueryClient(*args, **kwargs)
+        # If this Kernel has bigquery integration on startup, preload the Kaggle Credentials
+        # object for magics to work. 
+        if get_integrations().has_bigquery():
+            from google.cloud.bigquery import magics
+            magics.context.credentials = KaggleKernelCredentials()
 
-        else:
-            if specified_credentials is None:
-                kwargs['credentials'] = KaggleKernelCredentials()
-                if (not has_bigquery):
-                    print('Please ensure you have selected a BigQuery '
-                          'account in the Kernels Settings sidebar.')
-            return bq_client(*args, **kwargs)
+        def monkeypatch_bq(bq_client, *args, **kwargs):
+            specified_credentials = kwargs.get('credentials')
+            has_bigquery = get_integrations().has_bigquery()
+            # Prioritize passed in project id, but if it is missing look for env var. 
+            arg_project = kwargs.get('project')
+            explicit_project_id = arg_project or os.environ.get(environment_vars.PROJECT)
+            # This is a hack to get around the bug in google-cloud library.
+            # Remove these two lines once this is resolved:
+            # https://github.com/googleapis/google-cloud-python/issues/8108
+            if explicit_project_id:
+                kwargs['project'] = explicit_project_id
+            if explicit_project_id is None and specified_credentials is None and not has_bigquery:
+                print("Using Kaggle's public dataset BigQuery integration.")
+                return PublicBigqueryClient(*args, **kwargs)
 
-    # Monkey patches BigQuery client creation to use proxy or user-connected GCP account.
-    # Deprecated in favor of Kaggle.DataProxyClient().
-    # TODO: Remove this once uses have migrated to that new interface.
-    bq_client = bigquery.Client
-    bigquery.Client = lambda *args, **kwargs:  monkeypatch_bq(
-        bq_client, *args, **kwargs)
+            else:
+                if specified_credentials is None:
+                    kwargs['credentials'] = KaggleKernelCredentials()
+                    if (not has_bigquery):
+                        print('Please ensure you have selected a BigQuery '
+                            'account in the Kernels Settings sidebar.')
+                return bq_client(*args, **kwargs)
+
+        # Monkey patches BigQuery client creation to use proxy or user-connected GCP account.
+        # Deprecated in favor of Kaggle.DataProxyClient().
+        # TODO: Remove this once uses have migrated to that new interface.
+        bq_client = bigquery.Client
+        bigquery.Client = lambda *args, **kwargs:  monkeypatch_bq(
+            bq_client, *args, **kwargs)
+
+init()
diff --git a/tests/test_bigquery.py b/tests/test_bigquery.py
index ee0bc483..74ce16a1 100644
--- a/tests/test_bigquery.py
+++ b/tests/test_bigquery.py
@@ -135,3 +135,23 @@ def test_no_project_with_connected_account(self):
                 # by the user or throw a custom exception.
                 client = bigquery.Client()
                 self._test_proxy(client, should_use_proxy=False)
+
+    def test_magics_with_connected_account_default_credentials(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'BIGQUERY')
+        with env:
+            import sitecustomize
+            sitecustomize.init()
+            from google.cloud.bigquery import magics
+            self.assertEqual(type(magics.context._credentials), KaggleKernelCredentials)
+            magics.context.credentials = None
+
+    def test_magics_without_connected_account(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        with env:
+            import sitecustomize
+            sitecustomize.init()
+            from google.cloud.bigquery import magics
+            self.assertIsNone(magics.context._credentials)

From 264cea6c6ad9b41be6de3b89df440e33d87f1f73 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 28 May 2019 13:05:34 -0700
Subject: [PATCH 0628/1660] Retry nltk.downloader on error

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 1081087f..71fe288d 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -95,7 +95,8 @@ RUN apt-get install -y libfreetype6-dev && \
     mkdir -p /usr/share/nltk_data && \
     # NLTK Downloader no longer continues smoothly after an error, so we explicitly list
     # the corpuses that work
-    python -m nltk.downloader -d /usr/share/nltk_data abc alpino averaged_perceptron_tagger \
+    # "yes | ..." answers yes to the retry prompt in case of an error. See b/133762095.
+    yes | python -m nltk.downloader -d /usr/share/nltk_data abc alpino averaged_perceptron_tagger \
     basque_grammars biocreative_ppi bllip_wsj_no_aux \
     book_grammars brown brown_tei cess_cat cess_esp chat80 city_database cmudict \
     comtrans conll2000 conll2002 conll2007 crubadan dependency_treebank \

From 97b406e9019210556b5648c333bd4f5537a3e7e6 Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@google.com>
Date: Thu, 30 May 2019 22:27:38 -0700
Subject: [PATCH 0629/1660] Adds file logging to Kaggle libraries to ease
 debugging. (#554)

---
 patches/kaggle_gcp.py    |  11 +++-
 patches/log.py           | 132 +++++++++++++++++++++++++++++++++++++++
 patches/sitecustomize.py |  10 ++-
 3 files changed, 150 insertions(+), 3 deletions(-)
 create mode 100644 patches/log.py

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index 8ba93ea9..0f81deb6 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -6,6 +6,8 @@
 from google.cloud.bigquery._http import Connection
 from kaggle_secrets import UserSecretsClient
 
+from log import Log
+
 
 def get_integrations():
     kernel_integrations_var = os.getenv("KAGGLE_KERNEL_INTEGRATIONS")
@@ -40,11 +42,14 @@ def refresh(self, request):
             client = UserSecretsClient()
             self.token, self.expiry = client.get_bigquery_access_token()
         except ConnectionError as e:
+            Log.error(f"Connection error trying to refresh access token: {e}")
             print("There was a connection error trying to fetch the access token. "
                   "Please ensure internet is on in order to use the BigQuery Integration.")
             raise RefreshError('Unable to refresh access token due to connection error.') from e
         except Exception as e:
+            Log.error(f"Error trying to refresh access token: {e}")
             if (not get_integrations().has_bigquery()):
+                Log.error(f"No bigquery integration found.")
                 print(
                     'Please ensure you have selected a BigQuery account in the Kernels Settings sidebar.')
             raise RefreshError('Unable to refresh access token.') from e
@@ -66,8 +71,10 @@ def api_request(self, *args, **kwargs):
         try:
             super().api_request(*args, **kwargs)
         except Forbidden as e:
-            print("Permission denied using Kaggle's public BigQuery integration. "
-                  "Did you mean to select a BigQuery account in the Kernels Settings sidebar?")
+            msg = ("Permission denied using Kaggle's public BigQuery integration. "
+                   "Did you mean to select a BigQuery account in the Kernels Settings sidebar?")
+            print(msg)
+            Log.info(msg)
             raise e
 
 
diff --git a/patches/log.py b/patches/log.py
new file mode 100644
index 00000000..88040ba3
--- /dev/null
+++ b/patches/log.py
@@ -0,0 +1,132 @@
+import logging
+import os
+
+import google.auth
+
+
+_LOG_TO_FILE_ENV = os.getenv("KAGGLE_LOG_TO_FILE")
+
+
+class _LogFormatter(logging.Formatter):
+    """A logging formatter which truncates long messages."""
+
+    _MAX_LOG_LENGTH = 10000  # Be generous, not to truncate long backtraces.
+
+    def format(self, record):
+        msg = super(_LogFormatter, self).format(record)
+        return msg[:_LogFormatter._MAX_LOG_LENGTH] if msg else msg
+
+# TODO(vimota): Clean this up once we're using python 3.8 and can use
+# (https://github.com/python/cpython/commit/dde9fdbe453925279ac3d2a6a72102f6f9ef247c)
+# Right now, making the logging module display the intended frame's information
+# when the logging calls (info, warn, ...) are wrapped (as is the case in our
+# Log class) involves fragile logic.
+class _Logger(logging.Logger):
+
+    # This is a copy of logging.Logger.findCaller with the filename ignore
+    # set expanded to include the current filename (".../log.py").
+    # Copyright 2001-2015 by Vinay Sajip. All Rights Reserved.
+    # License: https://github.com/python/cpython/blob/ce9e62544571e7ade7186697d5dd065fb4c5243f/LICENSE
+    def findCaller(self, stack_info=False):
+        f = logging.currentframe()
+        f = f.f_back
+        rv = "(unknown file)", 0, "(unknown function)", None
+        while hasattr(f, "f_code"):
+            co = f.f_code
+            filename = os.path.normcase(co.co_filename)
+            if filename in _ignore_srcfiles:
+                f = f.f_back
+                continue
+            sinfo = None
+            if stack_info:
+                sio = io.StringIO()
+                sio.write('Stack (most recent call last):\n')
+                traceback.print_stack(f, file=sio)
+                sinfo = sio.getvalue()
+                if sinfo[-1] == '\n':
+                    sinfo = sinfo[:-1]
+                sio.close()
+            rv = (co.co_filename, f.f_lineno, co.co_name, sinfo)
+            break
+        return rv
+
+
+_srcfile = os.path.normcase(_Logger.findCaller.__code__.co_filename)
+_ignore_srcfiles = (_srcfile, logging._srcfile)
+
+class Log:
+    """ Helper aggregate for all things related to logging activity. """
+
+    _GLOBAL_LOG = logging.getLogger("")
+    _initialized = False
+
+    # These are convenience helpers. For performance, consider saving Log.get_logger() and using that
+    @staticmethod
+    def critical(msg, *args, **kwargs):
+        Log._GLOBAL_LOG.critical(msg, *args, **kwargs)
+
+    @staticmethod
+    def fatal(msg, *args, **kwargs):
+        Log._GLOBAL_LOG.fatal(msg, *args, **kwargs)
+
+    @staticmethod
+    def exception(msg, *args, **kwargs):
+        Log._GLOBAL_LOG.exception(msg, *args, **kwargs)
+
+    @staticmethod
+    def error(msg, *args, **kwargs):
+        Log._GLOBAL_LOG.error(msg, *args, **kwargs)
+
+    @staticmethod
+    def warn(msg, *args, **kwargs):
+        Log._GLOBAL_LOG.warn(msg, *args, **kwargs)
+
+    @staticmethod
+    def warning(msg, *args, **kwargs):
+        Log._GLOBAL_LOG.warning(msg, *args, **kwargs)
+
+    @staticmethod
+    def debug(msg, *args, **kwargs):
+        Log._GLOBAL_LOG.debug(msg, *args, **kwargs)
+
+    @staticmethod
+    def info(msg, *args, **kwargs):
+        Log._GLOBAL_LOG.info(msg, *args, **kwargs)
+
+    @staticmethod
+    def set_level(loglevel):
+        if isinstance(loglevel, int):
+            Log._GLOBAL_LOG.setLevel(loglevel)
+            return
+        elif isinstance(loglevel, str):
+            # idea from https://docs.python.org/3.5/howto/logging.html#logging-to-a-file
+            numeric_level = getattr(logging, loglevel.upper(), None)
+            if isinstance(numeric_level, int):
+                Log._GLOBAL_LOG.setLevel(numeric_level)
+                return
+
+        raise ValueError('Invalid log level: %s' % loglevel)
+
+    @staticmethod
+    def _static_init():
+        if Log._initialized:
+            return
+
+        logging.setLoggerClass(_Logger)
+        # The root logger's type is unfortunately (and surprisingly) not affected by
+        # `setLoggerClass`. Monkey patch it instead. TODO(vimota): Remove this, see the TODO
+        # associated with _Logger.
+        logging.RootLogger.findCaller = _Logger.findCaller
+        log_to_file = _LOG_TO_FILE_ENV.lower() in ("yes", "true", "t", "1") if _LOG_TO_FILE_ENV is not None else True
+        if log_to_file:
+            handler = logging.FileHandler(filename='/tmp/kaggle.log', mode='w')
+        else:
+            handler = logging.StreamHandler()
+        
+        # ".1s" is for the first letter: http://stackoverflow.com/a/27453084/1869.
+        format_string = "%(asctime)s %(levelname).1s %(process)d %(filename)s:%(lineno)d] %(message)s"
+        handler.setFormatter(_LogFormatter(format_string))
+        logging.basicConfig(level=logging.INFO, handlers=[handler])
+        Log._initialized = True
+
+Log._static_init()
\ No newline at end of file
diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index 05b15efb..2558a62b 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -1,5 +1,8 @@
 import os
+
 from kaggle_gcp import get_integrations
+from log import Log
+
 kaggle_proxy_token = os.getenv("KAGGLE_DATA_PROXY_TOKEN")
 kernel_integrations_var = os.getenv("KAGGLE_KERNEL_INTEGRATIONS")
 
@@ -29,15 +32,20 @@ def monkeypatch_bq(bq_client, *args, **kwargs):
             # Remove these two lines once this is resolved:
             # https://github.com/googleapis/google-cloud-python/issues/8108
             if explicit_project_id:
+                Log.info(f"Explicit project set to {explicit_project_id}")
                 kwargs['project'] = explicit_project_id
             if explicit_project_id is None and specified_credentials is None and not has_bigquery:
-                print("Using Kaggle's public dataset BigQuery integration.")
+                msg = "Using Kaggle's public dataset BigQuery integration."
+                Log.info(msg)
+                print(msg)
                 return PublicBigqueryClient(*args, **kwargs)
 
             else:
                 if specified_credentials is None:
+                    Log.info("No credentials specified, using KaggleKernelCredentials.")
                     kwargs['credentials'] = KaggleKernelCredentials()
                     if (not has_bigquery):
+                        Log.info("No bigquery integration found, creating client anyways.")
                         print('Please ensure you have selected a BigQuery '
                             'account in the Kernels Settings sidebar.')
                 return bq_client(*args, **kwargs)

From 018fda963e0328245a56b85ae53b0ba6502b6338 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 6 Jun 2019 20:26:39 -0700
Subject: [PATCH 0630/1660] include the log.py file into the Docker image

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 71fe288d..c0d4de8f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -533,6 +533,7 @@ RUN pip install --upgrade dask && \
 ENV PYTHONUSERBASE "/root/.local"
 ADD patches/kaggle_gcp.py /root/.local/lib/python3.6/site-packages/kaggle_gcp.py
 ADD patches/kaggle_secrets.py /root/.local/lib/python3.6/site-packages/kaggle_secrets.py
+ADD patches/log.py /root/.local/lib/python3.6/site-packages/log.py
 ADD patches/sitecustomize.py /root/.local/lib/python3.6/site-packages/sitecustomize.py
 
 # TensorBoard Jupyter extension. Should be replaced with TensorBoard's provided magic once we have

From c0cc1d05e2e75cf9ab6dadf9b0ca9a4192b8ba81 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 6 Jun 2019 15:35:08 -0700
Subject: [PATCH 0631/1660] build newer version of datashader

---
 Dockerfile | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index c0d4de8f..149c2f63 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -182,7 +182,9 @@ RUN pip install scipy && \
     pip install orderedmultidict && \
     pip install smhasher && \
     conda install -y -c bokeh bokeh && \
-    pip install datashader && \
+    # b/134599839 remove once datashader > 0.7.0 is released. We need an unreleased change ]
+    # removing the pinning on testpath.
+    pip install git+git://github.com/pyviz/datashader.git@e2a17725343f0ede20e5df4e2d1d72d33d00d1ff && \
     # Boruta (python implementation)
     cd /usr/local/src && git clone https://github.com/danielhomola/boruta_py.git && \
     cd boruta_py && python setup.py install && \

From 8c1914f5699bd7f0e035c39acd1e52fa48f69c7a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 7 Jun 2019 01:27:16 +0000
Subject: [PATCH 0632/1660] pin numba to avoid llvmlite reinstall

---
 Dockerfile | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 149c2f63..e2660ab4 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -182,7 +182,10 @@ RUN pip install scipy && \
     pip install orderedmultidict && \
     pip install smhasher && \
     conda install -y -c bokeh bokeh && \
-    # b/134599839 remove once datashader > 0.7.0 is released. We need an unreleased change ]
+    # b/134599839: latest version requires llvmlite >= 0.39.0. Base image comes with 0.38.0.
+    # It fails to reinstall it because it is a distutil package. Remove pin once base image include newer verson of llvmlite.
+    pip install numba==0.38.0 && \
+    # b/134599839: remove once datashader > 0.7.0 is released. We need an unreleased change
     # removing the pinning on testpath.
     pip install git+git://github.com/pyviz/datashader.git@e2a17725343f0ede20e5df4e2d1d72d33d00d1ff && \
     # Boruta (python implementation)

From 9fe5f0b1f41fefc7f3f68f79802576945cac566f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 7 Jun 2019 03:24:21 +0000
Subject: [PATCH 0633/1660] keep only the numba pin

---
 Dockerfile | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index e2660ab4..e6f913e5 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -185,9 +185,7 @@ RUN pip install scipy && \
     # b/134599839: latest version requires llvmlite >= 0.39.0. Base image comes with 0.38.0.
     # It fails to reinstall it because it is a distutil package. Remove pin once base image include newer verson of llvmlite.
     pip install numba==0.38.0 && \
-    # b/134599839: remove once datashader > 0.7.0 is released. We need an unreleased change
-    # removing the pinning on testpath.
-    pip install git+git://github.com/pyviz/datashader.git@e2a17725343f0ede20e5df4e2d1d72d33d00d1ff && \
+    pip install datashader && \
     # Boruta (python implementation)
     cd /usr/local/src && git clone https://github.com/danielhomola/boruta_py.git && \
     cd boruta_py && python setup.py install && \

From de220a16137fe7c8f1a42fecbc4707ee22b2dc11 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 7 Jun 2019 15:02:50 -0700
Subject: [PATCH 0634/1660] Bump base continuumio/anaconda3 image version

---
 tensorflow-whl/CHANGELOG.md | 1 +
 tensorflow-whl/Dockerfile   | 2 +-
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index 43b65161..a9cbfa35 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -1,3 +1,4 @@
 1.11.0-py36: Tensorflow 1.11.0 wheels built with python 3.6
 1.12.0-py36: Tensorflow 1.12.0 wheels with Cuda 9.2
 1.13.1-py36: Tensorflow 1.13.1 wheels with Cuda 10.0
+1.13.1-py36-2: Bump base continuumio/anaconda3 image version
\ No newline at end of file
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 8ed6427c..6b0bb4ea 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -1,5 +1,5 @@
 FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04 AS nvidia
-FROM continuumio/anaconda3:5.2.0
+FROM continuumio/anaconda3:5.3.0
 
 # Avoid interactive configuration prompts/dialogs during apt-get.
 ENV DEBIAN_FRONTEND=noninteractive

From 89fb6180a1145634062cfab4433b3eb0e1fc2056 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 7 Jun 2019 15:42:51 -0700
Subject: [PATCH 0635/1660] use openjdk and bazel from apt-get

---
 tensorflow-whl/Dockerfile | 19 +++++--------------
 1 file changed, 5 insertions(+), 14 deletions(-)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 6b0bb4ea..4a0a3175 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -48,21 +48,12 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
 # Install bazel
 # Tensorflow 1.13 requires the Bazel 0.19.2: https://www.tensorflow.org/install/source
 ENV BAZEL_VERSION=0.19.2
-RUN apt-get install -y gnupg zip && \
-    echo "deb http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list && \
-    echo "deb-src http://ppa.launchpad.net/webupd8team/java/ubuntu precise main" | tee -a /etc/apt/sources.list && \
-    apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys --no-tty EEA14886 C857C906 2B90D010 && \
+RUN apt-get install -y gnupg zip openjdk-8-jdk && \
+    echo "deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8" | tee /etc/apt/sources.list.d/bazel.list && \
+    curl https://bazel.build/bazel-release.pub.gpg | sudo apt-key add - && \
     apt-get update && \
-    echo debconf shared/accepted-oracle-license-v1-1 select true | debconf-set-selections && \
-    echo debconf shared/accepted-oracle-license-v1-1 seen true | debconf-set-selections && \
-    apt-get install -y oracle-java8-installer && \
-    apt-get install -y --no-install-recommends \
-      bash-completion \
-      zlib1g-dev && \
-    # Install Bazel with apt-get once this issue is resolved: https://github.com/bazelbuild/continuous-integration/issues/128
-    wget --no-verbose "https://github.com/bazelbuild/bazel/releases/download/${BAZEL_VERSION}/bazel_${BAZEL_VERSION}-linux-x86_64.deb" && \
-    dpkg -i bazel_*.deb && \
-    rm bazel_*.deb
+    apt-get install install bazel="${BAZEL_VERSION}"
+    apt-get install -y --no-install-recommends bash-completion zlib1g-dev
 
 # Tensorflow doesn't support python 3.7 yet. See https://github.com/tensorflow/tensorflow/issues/20517
 RUN conda install -y python=3.6.6

From b9ede60e44c22a2928c514b21f441e51ae25394a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 7 Jun 2019 16:01:18 -0700
Subject: [PATCH 0636/1660] add missing && "

---
 tensorflow-whl/Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 4a0a3175..86b75821 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -52,7 +52,7 @@ RUN apt-get install -y gnupg zip openjdk-8-jdk && \
     echo "deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8" | tee /etc/apt/sources.list.d/bazel.list && \
     curl https://bazel.build/bazel-release.pub.gpg | sudo apt-key add - && \
     apt-get update && \
-    apt-get install install bazel="${BAZEL_VERSION}"
+    apt-get install install bazel="${BAZEL_VERSION}" && \
     apt-get install -y --no-install-recommends bash-completion zlib1g-dev
 
 # Tensorflow doesn't support python 3.7 yet. See https://github.com/tensorflow/tensorflow/issues/20517

From 6d2a31bc68ee492a0e8939c42751485ea98b9aef Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 7 Jun 2019 16:06:46 -0700
Subject: [PATCH 0637/1660] remove extraneous sudo

---
 tensorflow-whl/Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 86b75821..82385bb1 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -50,7 +50,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
 ENV BAZEL_VERSION=0.19.2
 RUN apt-get install -y gnupg zip openjdk-8-jdk && \
     echo "deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8" | tee /etc/apt/sources.list.d/bazel.list && \
-    curl https://bazel.build/bazel-release.pub.gpg | sudo apt-key add - && \
+    curl https://bazel.build/bazel-release.pub.gpg | apt-key add - && \
     apt-get update && \
     apt-get install install bazel="${BAZEL_VERSION}" && \
     apt-get install -y --no-install-recommends bash-completion zlib1g-dev

From 70214d47b823696cf70463873b823f18eb2b005c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 7 Jun 2019 16:27:37 -0700
Subject: [PATCH 0638/1660] install latest version of bazel

---
 tensorflow-whl/Dockerfile | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 82385bb1..b47a96ba 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -45,14 +45,12 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     ln -s /usr/local/cuda-10.0 /usr/local/cuda && \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
 
-# Install bazel
-# Tensorflow 1.13 requires the Bazel 0.19.2: https://www.tensorflow.org/install/source
-ENV BAZEL_VERSION=0.19.2
+
 RUN apt-get install -y gnupg zip openjdk-8-jdk && \
     echo "deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8" | tee /etc/apt/sources.list.d/bazel.list && \
     curl https://bazel.build/bazel-release.pub.gpg | apt-key add - && \
     apt-get update && \
-    apt-get install install bazel="${BAZEL_VERSION}" && \
+    apt-get install bazel && \
     apt-get install -y --no-install-recommends bash-completion zlib1g-dev
 
 # Tensorflow doesn't support python 3.7 yet. See https://github.com/tensorflow/tensorflow/issues/20517

From 98b09102daef33b979c6298138beb70d540025d9 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 7 Jun 2019 16:33:20 -0700
Subject: [PATCH 0639/1660] remove dependent packages now auto installed.

---
 tensorflow-whl/Dockerfile | 14 ++++++++------
 1 file changed, 8 insertions(+), 6 deletions(-)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index b47a96ba..e4d74e8f 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -45,13 +45,15 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     ln -s /usr/local/cuda-10.0 /usr/local/cuda && \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
 
-
+# Tensorflow 1.13 requires bazel >= 0.19.2 & <= 0.21.0
+ENV BAZEL_VERSION=0.21.0
 RUN apt-get install -y gnupg zip openjdk-8-jdk && \
-    echo "deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8" | tee /etc/apt/sources.list.d/bazel.list && \
-    curl https://bazel.build/bazel-release.pub.gpg | apt-key add - && \
-    apt-get update && \
-    apt-get install bazel && \
-    apt-get install -y --no-install-recommends bash-completion zlib1g-dev
+    apt-get install -y --no-install-recommends \
+      bash-completion \
+      zlib1g-dev && \
+    wget --no-verbose "https://github.com/bazelbuild/bazel/releases/download/${BAZEL_VERSION}/bazel_${BAZEL_VERSION}-linux-x86_64.deb" && \
+    dpkg -i bazel_*.deb && \
+    rm bazel_*.deb
 
 # Tensorflow doesn't support python 3.7 yet. See https://github.com/tensorflow/tensorflow/issues/20517
 RUN conda install -y python=3.6.6

From 13ad1e9714591867881470b6509309d09af94344 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Sat, 8 Jun 2019 16:42:48 +0000
Subject: [PATCH 0640/1660] build tf with python 3.7

---
 tensorflow-whl/CHANGELOG.md | 2 +-
 tensorflow-whl/Dockerfile   | 3 ---
 2 files changed, 1 insertion(+), 4 deletions(-)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index a9cbfa35..68789c37 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -1,4 +1,4 @@
 1.11.0-py36: Tensorflow 1.11.0 wheels built with python 3.6
 1.12.0-py36: Tensorflow 1.12.0 wheels with Cuda 9.2
 1.13.1-py36: Tensorflow 1.13.1 wheels with Cuda 10.0
-1.13.1-py36-2: Bump base continuumio/anaconda3 image version
\ No newline at end of file
+1.13.1-py37: Tensorflow 1.13.1 with Python 3.7 and continuumio/anaconda3:5.3.0 base image 
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index e4d74e8f..c139af51 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -55,9 +55,6 @@ RUN apt-get install -y gnupg zip openjdk-8-jdk && \
     dpkg -i bazel_*.deb && \
     rm bazel_*.deb
 
-# Tensorflow doesn't support python 3.7 yet. See https://github.com/tensorflow/tensorflow/issues/20517
-RUN conda install -y python=3.6.6
-
 # Fetch tensorflow & install dependencies.
 RUN cd /usr/local/src && \
     git clone https://github.com/tensorflow/tensorflow && \

From 7aec9549ee48793f4e60e6bef03a5d3e85a23aa0 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Sun, 9 Jun 2019 18:21:12 -0700
Subject: [PATCH 0641/1660] upgrade python and conda to latest in tf whl

---
 tensorflow-whl/Dockerfile | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index c139af51..682cd161 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -45,6 +45,9 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     ln -s /usr/local/cuda-10.0 /usr/local/cuda && \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
 
+# Install latest version of Python and conda.
+RUN conda update -y conda && conda update -y python
+
 # Tensorflow 1.13 requires bazel >= 0.19.2 & <= 0.21.0
 ENV BAZEL_VERSION=0.21.0
 RUN apt-get install -y gnupg zip openjdk-8-jdk && \

From 2af63b458851e9556ce99457663347e70d368550 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 10 Jun 2019 09:16:06 -0700
Subject: [PATCH 0642/1660] update changelog

---
 tensorflow-whl/CHANGELOG.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index 68789c37..ea816215 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -1,4 +1,5 @@
 1.11.0-py36: Tensorflow 1.11.0 wheels built with python 3.6
 1.12.0-py36: Tensorflow 1.12.0 wheels with Cuda 9.2
 1.13.1-py36: Tensorflow 1.13.1 wheels with Cuda 10.0
-1.13.1-py37: Tensorflow 1.13.1 with Python 3.7 and continuumio/anaconda3:5.3.0 base image 
+1.13.1-py37: Tensorflow 1.13.1 with Python 3.7.0 and bump anaconda3 base image version to 5.3.0 
+1.13.1-py37-2: Tensorflow 1.13.1 with Python 3.7.3

From c46158380deca0d716595c03b644ff5e01de2554 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 11 Jun 2019 16:19:46 -0700
Subject: [PATCH 0643/1660] python 3.6.6 tensorflow whl with anaconda 5.3.0
 base image

---
 tensorflow-whl/CHANGELOG.md | 1 +
 tensorflow-whl/Dockerfile   | 7 ++++---
 2 files changed, 5 insertions(+), 3 deletions(-)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index ea816215..c9776f81 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -1,5 +1,6 @@
 1.11.0-py36: Tensorflow 1.11.0 wheels built with python 3.6
 1.12.0-py36: Tensorflow 1.12.0 wheels with Cuda 9.2
 1.13.1-py36: Tensorflow 1.13.1 wheels with Cuda 10.0
+1.13.1-py36-2: Tensorflow 1.13.1 wheels with Cuda 10.0 and bump anaconda3 base image version to 5.3.0 
 1.13.1-py37: Tensorflow 1.13.1 with Python 3.7.0 and bump anaconda3 base image version to 5.3.0 
 1.13.1-py37-2: Tensorflow 1.13.1 with Python 3.7.3
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 682cd161..36909175 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -13,6 +13,10 @@ COPY --from=nvidia /etc/apt/sources.list.d/cuda.list /etc/apt/sources.list.d/
 COPY --from=nvidia /etc/apt/sources.list.d/nvidia-ml.list /etc/apt/sources.list.d/
 COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
 
+# TODO(rosbo): Don't merge the changes to this file. Only the CHANGELOG.md
+# Install Python 3.6.6 and conda.
+RUN conda update -y conda && conda install -y python=3.6.6 && pip install --upgrade pip
+
 # Ensure the cuda libraries are compatible with the GPU image.
 # TODO(b/120050292): Use templating to keep in sync.
 ENV CUDA_VERSION=10.0.130
@@ -45,9 +49,6 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     ln -s /usr/local/cuda-10.0 /usr/local/cuda && \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
 
-# Install latest version of Python and conda.
-RUN conda update -y conda && conda update -y python
-
 # Tensorflow 1.13 requires bazel >= 0.19.2 & <= 0.21.0
 ENV BAZEL_VERSION=0.21.0
 RUN apt-get install -y gnupg zip openjdk-8-jdk && \

From 741051b58f53ed0f3f3c4a13022429cf24300f35 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 11 Jun 2019 16:37:34 -0700
Subject: [PATCH 0644/1660] clean CPU Dockerfile

---
 Dockerfile              | 76 +++++++++++++++--------------------------
 gpu.Dockerfile          |  1 +
 tests/test_pytext.py    | 14 --------
 tests/test_wordbatch.py |  5 ++-
 4 files changed, 31 insertions(+), 65 deletions(-)
 delete mode 100644 tests/test_pytext.py

diff --git a/Dockerfile b/Dockerfile
index e6f913e5..fefd26ef 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,5 +1,6 @@
 ARG BASE_TAG=5.3.0
 
+# TODO(rosbo): Use the py36-2 version to have the same base image.
 FROM gcr.io/kaggle-images/python-tensorflow-whl:1.13.1-py36 as tensorflow_whl
 FROM continuumio/anaconda3:${BASE_TAG}
 
@@ -14,23 +15,16 @@ RUN apt-get update && \
     # Use a fixed apt-get repo to stop intermittent failures due to flaky httpredir connections,
     # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
 RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \
-    apt-get update && apt-get install -y build-essential unzip && \
-    # https://stackoverflow.com/a/46498173
-    conda update -y conda && conda update -y python && \
-    pip install pip==19.0.3 && \
-    apt-get -y install cmake && \
-    /tmp/clean-layer.sh
-
-# Tensorflow doesn't support python 3.7 yet. See https://github.com/tensorflow/tensorflow/issues/20517	
-# Fix to install Tensorflow: Downgrade python 3.7->3.6.6.
-RUN conda install -y python=3.6.6 && \
+    apt-get update && apt-get install -y build-essential unzip cmake && \
+    # Work to upgrade to Python 3.7 can be found on this branch: https://github.com/Kaggle/docker-python/blob/upgrade-py37/Dockerfile
+    conda update -y conda && conda install -y python=3.6.6 && \
+    pip install --upgrade pip && \
     /tmp/clean-layer.sh
 
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
-RUN pip install --upgrade seaborn python-dateutil dask && \
+RUN pip install seaborn python-dateutil dask && \
     pip install pyyaml joblib pytagcloud husl geopy ml_metrics mne pyshp && \
-    conda install -y -c conda-forge spacy && python -m spacy download en && \
-    python -m spacy download en_core_web_lg && \
+    pip install spacy && python -m spacy download en && python -m spacy download en_core_web_lg && \
     # The apt-get version of imagemagick is out of date and has compatibility issues, so we build from source
     apt-get -y install dbus fontconfig fontconfig-config fonts-dejavu-core fonts-droid-fallback ghostscript gsfonts hicolor-icon-theme \
     libavahi-client3 libavahi-common-data libavahi-common3 libcairo2 libcap-ng0 libcroco3 \
@@ -41,9 +35,11 @@ RUN pip install --upgrade seaborn python-dateutil dask && \
     libpaper-utils libpaper1 libpixman-1-0 libpng16-16 librsvg2-2 librsvg2-common libthai-data libthai0 libtiff5 libwmf0.2-7 \
     libxcb-render0 libxcb-shm0 netpbm poppler-data p7zip-full && \
     cd /usr/local/src && \
-    wget --no-verbose https://imagemagick.org/download/ImageMagick.tar.gz && \
-    tar xzf ImageMagick.tar.gz && cd `ls -d ImageMagick-*` && pwd && ls -al && ./configure && \
-    make -j $(nproc) && make install && \
+    # imagemagick.org is down.
+    # TODO(rosbo): Is is still being used or is the libmagick* above are sufficient for the packages (if any) that depends on it?
+    # wget --no-verbose https://imagemagick.org/download/ImageMagick.tar.gz && \
+    # tar xzf ImageMagick.tar.gz && cd `ls -d ImageMagick-*` && pwd && ls -al && ./configure && \
+    # make -j $(nproc) && make install && \
     /tmp/clean-layer.sh
 
 # Install tensorflow from a pre-built wheel
@@ -166,13 +162,11 @@ ENV PROJ_LIB=/opt/conda/share/proj
 RUN pip install scipy && \
     pip install scikit-learn && \
     # HDF5 support
-    conda install h5py && \
+    pip install h5py && \
     pip install biopython && \
     # PUDB, for local debugging convenience
     pip install pudb && \
-    # Imbalanced-learn
-    cd /usr/local/src && git clone https://github.com/scikit-learn-contrib/imbalanced-learn.git && \
-    cd imbalanced-learn && python setup.py install && \
+    pip install imbalanced-learn && \
     # Convex Optimization library
     # Latest version fails to install, see https://github.com/cvxopt/cvxopt/issues/77
     #    and https://github.com/cvxopt/cvxopt/issues/80
@@ -181,30 +175,28 @@ RUN pip install scipy && \
     pip install line_profiler && \
     pip install orderedmultidict && \
     pip install smhasher && \
-    conda install -y -c bokeh bokeh && \
+    pip install bokeh && \
     # b/134599839: latest version requires llvmlite >= 0.39.0. Base image comes with 0.38.0.
     # It fails to reinstall it because it is a distutil package. Remove pin once base image include newer verson of llvmlite.
     pip install numba==0.38.0 && \
     pip install datashader && \
     # Boruta (python implementation)
-    cd /usr/local/src && git clone https://github.com/danielhomola/boruta_py.git && \
-    cd boruta_py && python setup.py install && \
+    pip install Boruta && \
     cd /usr/local/src && git clone git://github.com/nicolashennetier/pyeconometrics.git && \
     cd pyeconometrics && python setup.py install && \
     apt-get install -y graphviz && pip install graphviz && \
     # Pandoc is a dependency of deap
     apt-get install -y pandoc && \
-    cd /usr/local/src && git clone git://github.com/scikit-learn-contrib/py-earth.git && \
-    cd py-earth && python setup.py install && \
+    pip install git+git://github.com/scikit-learn-contrib/py-earth.git@issue191 && \
     pip install essentia && \
     # PyTorch
     export CXXFLAGS="-std=c++11" && \
     export CFLAGS="-std=c99" && \
-    conda install -y pytorch-cpu torchvision-cpu -c pytorch && \
+    conda install -y pytorch-cpu=1.0.1 torchvision-cpu=0.2.2 -c pytorch && \
     # PyTorch Audio
     apt-get install -y sox libsox-dev libsox-fmt-all && \
     pip install cffi && \
-    cd /usr/local/src && git clone https://github.com/pytorch/audio && cd audio && python setup.py install && \
+    pip install git+git://github.com/pytorch/audio.git && \
     /tmp/clean-layer.sh
 
 # vtk with dependencies
@@ -215,7 +207,7 @@ RUN apt-get install -y libgl1-mesa-glx && \
     pip install xvfbwrapper && \
     /tmp/clean-layer.sh
 
-RUN pip install --upgrade mpld3 && \
+RUN pip install mpld3 && \
     pip install mplleaflet && \
     pip install gpxpy && \
     pip install arrow && \
@@ -242,10 +234,7 @@ RUN pip install --upgrade mpld3 && \
     pip install git+https://github.com/hyperopt/hyperopt.git && \
     # tflean. Deep learning library featuring a higher-level API for TensorFlow. http://tflearn.org
     pip install git+https://github.com/tflearn/tflearn.git && \
-    # fitter 1.1.10 is broken. Fails at setup with:
-    # install_requires = open("requirements.txt").read(),
-    # FileNotFoundError: [Errno 2] No such file or directory: 'requirements.txt'
-    pip install fitter==1.0.9 && \
+    pip install fitter && \
     pip install langid && \
     # Delorean. Useful for dealing with datetime
     pip install delorean && \
@@ -259,17 +248,13 @@ RUN pip install --upgrade mpld3 && \
     pip install git+https://github.com/fmfn/BayesianOptimization.git && \
     pip install matplotlib-venn && \
     pip install pyldavis && \
-    # Pattern not yet Py3 compatible...
-    # pip install pattern && \
-    pip install git+git://github.com/rasbt/mlxtend.git#egg=mlxtend && \
+    pip install mlxtend && \
     pip install altair && \
     pip install pystan && \
     pip install ImageHash && \
-    conda install -y ecos && \
-    conda install -y CVXcanon && \
-    /tmp/clean-layer.sh
-
-RUN pip install fancyimpute && \
+    pip install ecos && \
+    pip install CVXcanon && \
+    pip install fancyimpute && \
     pip install git+https://github.com/pymc-devs/pymc3 && \
     pip install tifffile && \
     pip install spectral && \
@@ -298,8 +283,6 @@ RUN pip install fancyimpute && \
     # See other comments about why matplotlib is pinned.
     pip install geoviews==1.6.1 && \
     pip install hypertools && \
-    # Nxviz has been causing an installation issue by trying unsuccessfully to remove setuptools.
-    #pip install nxviz && \
     pip install py_stringsimjoin && \
     pip install speedml && \
     pip install nibabel && \
@@ -350,15 +333,12 @@ RUN pip install kmeans-smote --no-dependencies && \
     /tmp/clean-layer.sh
 
 # install cython & cysignals before pyfasttext
-RUN pip install --upgrade cython && \
-    pip install --upgrade cysignals && \
-    pip install pyfasttext && \
-    pip install ktext && \
+RUN pip install ktext && \
     pip install git+git://github.com/facebookresearch/fastText.git && \
     apt-get install -y libhunspell-dev && pip install hunspell && \
     pip install annoy && \
     pip install category_encoders && \
-    pip install google-cloud-bigquery && \
+    pip install google-cloud-bigquery==1.12.1 && \
     pip install ortools && \
     pip install scattertext && \
     # Pandas data reader
@@ -500,7 +480,7 @@ RUN pip install flashtext && \
 # Tesseract and some associated utility packages
 RUN apt-get install tesseract-ocr -y && \
     pip install pytesseract && \
-    pip install wand && \
+    pip install wand==0.5.3 && \
     pip install pdf2image && \
     pip install PyPDF && \
     pip install pyocr && \
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 2b336650..4819d2bb 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,6 +1,7 @@
 ARG BASE_TAG=staging
 
 FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04 AS nvidia
+# TODO(rosbo): Use the py36-2 version to have the same base image.
 FROM gcr.io/kaggle-images/python-tensorflow-whl:1.13.1-py36 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_TAG}
 
diff --git a/tests/test_pytext.py b/tests/test_pytext.py
deleted file mode 100644
index 52d1c4bc..00000000
--- a/tests/test_pytext.py
+++ /dev/null
@@ -1,14 +0,0 @@
-import unittest
-
-from pytext.config.field_config import FeatureConfig
-from pytext.data.featurizer import InputRecord, SimpleFeaturizer
-
-class TestPyText(unittest.TestCase):
-
-    def test_tokenize(self):
-        featurizer = SimpleFeaturizer.from_config(
-            SimpleFeaturizer.Config(), FeatureConfig()
-        )
-
-        tokens = featurizer.featurize(InputRecord(raw_text="At eight o'clock")).tokens
-        self.assertEqual(['at', 'eight', "o'clock"], tokens)
diff --git a/tests/test_wordbatch.py b/tests/test_wordbatch.py
index 4d64c8f7..906ca130 100644
--- a/tests/test_wordbatch.py
+++ b/tests/test_wordbatch.py
@@ -1,12 +1,11 @@
 import unittest
 
-import wordbatch
-
 from wordbatch.extractors import WordBag
+from wordbatch.pipelines import WordBatch
 
 class TestWordBatch(unittest.TestCase):
     def test_wordbatch(self):
-        wordbatch.WordBatch(extractor=(WordBag, {
+        WordBatch(extractor=(WordBag, {
             "hash_ngrams":2, 
             "hash_ngrams_weights":[0.5, -1.0], 
             "hash_size":2**23, 

From c43520da0dd286a1212514161283718e4069313f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 11 Jun 2019 16:51:18 -0700
Subject: [PATCH 0645/1660] don't upgrade anaconda and install numpy

---
 tensorflow-whl/Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 36909175..391490ec 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -14,8 +14,8 @@ COPY --from=nvidia /etc/apt/sources.list.d/nvidia-ml.list /etc/apt/sources.list.
 COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
 
 # TODO(rosbo): Don't merge the changes to this file. Only the CHANGELOG.md
-# Install Python 3.6.6 and conda.
-RUN conda update -y conda && conda install -y python=3.6.6 && pip install --upgrade pip
+# Install Python 3.6.6 and upgrade pip.
+RUN conda install -y python=3.6.6 && pip install --upgrade pip && pip install numpy
 
 # Ensure the cuda libraries are compatible with the GPU image.
 # TODO(b/120050292): Use templating to keep in sync.

From 610f886e7ec66fb985346c41332c3b848a765573 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 11 Jun 2019 16:52:11 -0700
Subject: [PATCH 0646/1660] don't upgrade conda

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index fefd26ef..40766b47 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -17,7 +17,7 @@ RUN apt-get update && \
 RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \
     apt-get update && apt-get install -y build-essential unzip cmake && \
     # Work to upgrade to Python 3.7 can be found on this branch: https://github.com/Kaggle/docker-python/blob/upgrade-py37/Dockerfile
-    conda update -y conda && conda install -y python=3.6.6 && \
+    conda install -y python=3.6.6 && \
     pip install --upgrade pip && \
     /tmp/clean-layer.sh
 

From 9c256bf38182ac10f2fb56bd21fa95f1515c3869 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 11 Jun 2019 23:06:54 -0700
Subject: [PATCH 0647/1660] revert tensorflow-whl/Dockerfile change

---
 tensorflow-whl/Dockerfile | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 391490ec..682cd161 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -13,10 +13,6 @@ COPY --from=nvidia /etc/apt/sources.list.d/cuda.list /etc/apt/sources.list.d/
 COPY --from=nvidia /etc/apt/sources.list.d/nvidia-ml.list /etc/apt/sources.list.d/
 COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
 
-# TODO(rosbo): Don't merge the changes to this file. Only the CHANGELOG.md
-# Install Python 3.6.6 and upgrade pip.
-RUN conda install -y python=3.6.6 && pip install --upgrade pip && pip install numpy
-
 # Ensure the cuda libraries are compatible with the GPU image.
 # TODO(b/120050292): Use templating to keep in sync.
 ENV CUDA_VERSION=10.0.130
@@ -49,6 +45,9 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     ln -s /usr/local/cuda-10.0 /usr/local/cuda && \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
 
+# Install latest version of Python and conda.
+RUN conda update -y conda && conda update -y python
+
 # Tensorflow 1.13 requires bazel >= 0.19.2 & <= 0.21.0
 ENV BAZEL_VERSION=0.21.0
 RUN apt-get install -y gnupg zip openjdk-8-jdk && \

From 2150b20a73c4e294abac3dd912984c8eb254fea1 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 11 Jun 2019 23:09:08 -0700
Subject: [PATCH 0648/1660] use tf whl built with anaconda 5.3.0 base image

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 40766b47..c8b8b29b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=5.3.0
 
 # TODO(rosbo): Use the py36-2 version to have the same base image.
-FROM gcr.io/kaggle-images/python-tensorflow-whl:1.13.1-py36 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:1.13.1-py36-2 as tensorflow_whl
 FROM continuumio/anaconda3:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh

From b544aa9563d65b8b7b46a4d487488050b5cb3474 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 12 Jun 2019 10:51:09 -0700
Subject: [PATCH 0649/1660] use tf whl built with 5.3.0

---
 gpu.Dockerfile | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 4819d2bb..bdd50bbc 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,8 +1,7 @@
 ARG BASE_TAG=staging
 
 FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04 AS nvidia
-# TODO(rosbo): Use the py36-2 version to have the same base image.
-FROM gcr.io/kaggle-images/python-tensorflow-whl:1.13.1-py36 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:1.13.1-py36-2 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh

From 414e71b88c6f2d37952dae69b10d6c7f33069af0 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 12 Jun 2019 10:51:28 -0700
Subject: [PATCH 0650/1660] put back imagemagick and pyfastext

---
 Dockerfile | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index c8b8b29b..8b1ccfeb 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,6 +1,5 @@
 ARG BASE_TAG=5.3.0
 
-# TODO(rosbo): Use the py36-2 version to have the same base image.
 FROM gcr.io/kaggle-images/python-tensorflow-whl:1.13.1-py36-2 as tensorflow_whl
 FROM continuumio/anaconda3:${BASE_TAG}
 
@@ -35,11 +34,9 @@ RUN pip install seaborn python-dateutil dask && \
     libpaper-utils libpaper1 libpixman-1-0 libpng16-16 librsvg2-2 librsvg2-common libthai-data libthai0 libtiff5 libwmf0.2-7 \
     libxcb-render0 libxcb-shm0 netpbm poppler-data p7zip-full && \
     cd /usr/local/src && \
-    # imagemagick.org is down.
-    # TODO(rosbo): Is is still being used or is the libmagick* above are sufficient for the packages (if any) that depends on it?
-    # wget --no-verbose https://imagemagick.org/download/ImageMagick.tar.gz && \
-    # tar xzf ImageMagick.tar.gz && cd `ls -d ImageMagick-*` && pwd && ls -al && ./configure && \
-    # make -j $(nproc) && make install && \
+    wget --no-verbose https://imagemagick.org/download/ImageMagick.tar.gz && \
+    tar xzf ImageMagick.tar.gz && cd `ls -d ImageMagick-*` && pwd && ls -al && ./configure && \
+    make -j $(nproc) && make install && \
     /tmp/clean-layer.sh
 
 # Install tensorflow from a pre-built wheel
@@ -333,7 +330,10 @@ RUN pip install kmeans-smote --no-dependencies && \
     /tmp/clean-layer.sh
 
 # install cython & cysignals before pyfasttext
-RUN pip install ktext && \
+RUN pip install --upgrade cython && \
+    pip install --upgrade cysignals && \
+    pip install pyfasttext && \
+    pip install ktext && \
     pip install git+git://github.com/facebookresearch/fastText.git && \
     apt-get install -y libhunspell-dev && pip install hunspell && \
     pip install annoy && \

From f4aa75f70e15280cb58d735426e1f17f6ac8ad85 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 12 Jun 2019 22:07:36 +0000
Subject: [PATCH 0651/1660] fix dipy and expand tests

---
 Dockerfile         |  4 +--
 tests/test_dipy.py | 62 ++++++++++++++++++++++++++++++++++++++++++----
 2 files changed, 59 insertions(+), 7 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 8b1ccfeb..5ab64f30 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -294,8 +294,8 @@ RUN pip install mpld3 && \
     pip install paramnb && \
     pip install folium && \
     pip install scikit-plot && \
-    # 0.15.0 is still unstable.
-    pip install dipy==0.14.0 && \
+    # dipy requires the optional fury dependency for visualizations.
+    pip install fury dipy && \
     # plotnine 0.5 is depending on matplotlib >= 3.0 which is not compatible with basemap.
     # once basemap support matplotlib, we can unpin this package.
     pip install plotnine==0.4.0 && \
diff --git a/tests/test_dipy.py b/tests/test_dipy.py
index de12ef74..aeeaaefd 100644
--- a/tests/test_dipy.py
+++ b/tests/test_dipy.py
@@ -1,19 +1,71 @@
 import unittest
 import os.path
+import numpy as np
+import numpy.testing as npt
+import tempfile
+
+from dipy.core.graph import Graph
+from dipy.denoise.enhancement_kernel import EnhancementKernel
+from dipy.tracking.fbcmeasures import FBCMeasures
+from dipy.core.sphere import Sphere
 from dipy.viz import window
 from xvfbwrapper import Xvfb
 
 class TestDipy(unittest.TestCase):
-    out_file = 'test.png'
     def test_renderer(self):
         vdisplay = Xvfb()
         vdisplay.start()
 
         ren = window.Renderer()
-        window.record(ren, n_frames=1, out_path=self.out_file, size=(600, 600))
-        self.assertTrue(os.path.exists(self.out_file))
+
+        with tempfile.TemporaryDirectory() as dir:
+            out_file = os.path.join(dir, 'test.png')
+            window.record(ren, n_frames=1, out_path=out_file, size=(600, 600))
+            self.assertTrue(os.path.exists(out_file))
 
         vdisplay.stop()
 
-    def tearDown(self):
-        os.remove(self.out_file)
+    def test_graph(self):
+        g = Graph()
+        g.add_node('a', 5)
+        g.add_node('b', 6)
+        self.assertEqual(2, len(g.node))
+
+    # From: https://github.com/nipy/dipy/blob/51234a4437638535ff8f6e5819e14ccf7e1d1483/dipy/tracking/tests/test_fbc.py
+    def test_fbc(self):
+        """Test the FBC measures on a set of fibers"""
+
+        # Generate two fibers of 10 points
+        streamlines = []
+        for i in range(2):
+            fiber = np.zeros((10, 3))
+            for j in range(10):
+                fiber[j, 0] = j
+                fiber[j, 1] = i*0.2
+                fiber[j, 2] = 0
+                streamlines.append(fiber)
+
+        # Create lookup table.
+        # A fixed set of orientations is used to guarantee deterministic results
+        D33 = 1.0
+        D44 = 0.04
+        t = 1
+        sphere = Sphere(xyz=np.array([[0.82819078, 0.51050355, 0.23127074],
+                                    [-0.10761926, -0.95554309, 0.27450957],
+                                    [0.4101745, -0.07154038, 0.90919682],
+                                    [-0.75573448, 0.64854889, 0.09082809],
+                                    [-0.56874549, 0.01377562, 0.8223982]]))
+        k = EnhancementKernel(D33, D44, t, orientations=sphere,
+                            force_recompute=True)
+
+        # run FBC
+        fbc = FBCMeasures(streamlines, k, verbose=True)
+
+        # get FBC values
+        fbc_sl_orig, clrs_orig, rfbc_orig = \
+            fbc.get_points_rfbc_thresholded(0, emphasis=0.01)
+
+        # check mean RFBC against tested value
+        npt.assert_almost_equal(np.mean(rfbc_orig), 1.0500466494329224)
+
+        

From 256e1bb8dd543051fe51b3b669ab4a10c0556f40 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 12 Jun 2019 22:19:04 +0000
Subject: [PATCH 0652/1660] add back pytext

---
 tests/test_pytext.py | 14 ++++++++++++++
 1 file changed, 14 insertions(+)
 create mode 100644 tests/test_pytext.py

diff --git a/tests/test_pytext.py b/tests/test_pytext.py
new file mode 100644
index 00000000..52d1c4bc
--- /dev/null
+++ b/tests/test_pytext.py
@@ -0,0 +1,14 @@
+import unittest
+
+from pytext.config.field_config import FeatureConfig
+from pytext.data.featurizer import InputRecord, SimpleFeaturizer
+
+class TestPyText(unittest.TestCase):
+
+    def test_tokenize(self):
+        featurizer = SimpleFeaturizer.from_config(
+            SimpleFeaturizer.Config(), FeatureConfig()
+        )
+
+        tokens = featurizer.featurize(InputRecord(raw_text="At eight o'clock")).tokens
+        self.assertEqual(['at', 'eight', "o'clock"], tokens)

From 1feb24e3fdae220a63a665fa346a70fb01c9f0a3 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 12 Jun 2019 22:21:19 +0000
Subject: [PATCH 0653/1660] pin torch for gpu image too

---
 gpu.Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index bdd50bbc..2bec8875 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -51,7 +51,7 @@ RUN pip uninstall -y tensorflow && \
     pip install /tmp/tensorflow_gpu/tensorflow*.whl && \
     rm -rf /tmp/tensorflow_gpu && \
     conda uninstall -y pytorch-cpu torchvision-cpu && \
-    conda install -y pytorch torchvision cudatoolkit=10.0 -c pytorch && \
+    conda install -y pytorch=1.0.1 torchvision=0.2.2 cudatoolkit=10.0 -c pytorch && \
     pip uninstall -y mxnet && \
     # b/126259508 --no-deps prevents numpy from being downgraded.
     pip install --no-deps mxnet-cu100 && \

From c7a5feef9d693d18c6391b656f46a829d34df8c5 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 13 Jun 2019 18:03:49 +0000
Subject: [PATCH 0654/1660] latest version of torch works

---
 Dockerfile     | 2 +-
 gpu.Dockerfile | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 5ab64f30..148d44b4 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -189,7 +189,7 @@ RUN pip install scipy && \
     # PyTorch
     export CXXFLAGS="-std=c++11" && \
     export CFLAGS="-std=c99" && \
-    conda install -y pytorch-cpu=1.0.1 torchvision-cpu=0.2.2 -c pytorch && \
+    conda install -y pytorch-cpu torchvision-cpu -c pytorch && \
     # PyTorch Audio
     apt-get install -y sox libsox-dev libsox-fmt-all && \
     pip install cffi && \
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 2bec8875..bdd50bbc 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -51,7 +51,7 @@ RUN pip uninstall -y tensorflow && \
     pip install /tmp/tensorflow_gpu/tensorflow*.whl && \
     rm -rf /tmp/tensorflow_gpu && \
     conda uninstall -y pytorch-cpu torchvision-cpu && \
-    conda install -y pytorch=1.0.1 torchvision=0.2.2 cudatoolkit=10.0 -c pytorch && \
+    conda install -y pytorch torchvision cudatoolkit=10.0 -c pytorch && \
     pip uninstall -y mxnet && \
     # b/126259508 --no-deps prevents numpy from being downgraded.
     pip install --no-deps mxnet-cu100 && \

From 184abfe064fc574e0db2c23042b278e7ce3168f4 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 13 Jun 2019 18:36:50 +0000
Subject: [PATCH 0655/1660] Remove python-dateutil pin

---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 148d44b4..befdbaca 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -398,7 +398,6 @@ RUN pip install bcolz && \
     pip install ptyprocess && \
     pip install Pygments && \
     pip install pyparsing && \
-    pip install python-dateutil==2.6.0 && \
     pip install pytz && \
     pip install PyYAML && \
     pip install pyzmq && \

From 72ed33d08257da3d933d17a9d762bd137db54368 Mon Sep 17 00:00:00 2001
From: Erdal Sivri <erdalsivri@google.com>
Date: Fri, 14 Jun 2019 16:49:56 -0400
Subject: [PATCH 0656/1660] Downgrade tornado to the last known good version to
 fix notebook start issue.

The latest version of tornado has a bug that breaks Jupyter notebook:
https://github.com/jupyter/notebook/issues/4439
---
 Dockerfile | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index befdbaca..b6ac81f6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -406,7 +406,9 @@ RUN pip install bcolz && \
     pip install six && \
     pip install terminado && \
     pip install testpath && \
-    pip install tornado && \
+    # Latest version (6.0) of tornado breaks Jupyter notebook:
+    # https://github.com/jupyter/notebook/issues/4439
+    pip install tornado==5.0.2 && \
     pip install tqdm && \
     pip install traitlets && \
     pip install wcwidth && \

From 629a8c04e8e94d76a27d42cc0eb865ad1cca4f60 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 17 Jun 2019 16:17:47 -0700
Subject: [PATCH 0657/1660] Update Dockerfile

---
 Dockerfile | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index b6ac81f6..42361437 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -338,6 +338,9 @@ RUN pip install --upgrade cython && \
     apt-get install -y libhunspell-dev && pip install hunspell && \
     pip install annoy && \
     pip install category_encoders && \
+    # Newer version crashes (latest = 1.14.0) when running tensorflow.
+    # python -c "from google.cloud import bigquery; import tensorflow". This flow is common because bigquery is imported in kaggle_gcp.py
+    # which is loaded at startup.
     pip install google-cloud-bigquery==1.12.1 && \
     pip install ortools && \
     pip install scattertext && \

From abf607925fbbfd79565c5a7141392261e436f5d7 Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@google.com>
Date: Tue, 18 Jun 2019 11:06:38 -0700
Subject: [PATCH 0658/1660] Add google-cloud-storage to docker-python.

---
 Dockerfile        |  1 +
 tests/test_gcs.py | 23 +++++++++++++++++++++++
 2 files changed, 24 insertions(+)
 create mode 100644 tests/test_gcs.py

diff --git a/Dockerfile b/Dockerfile
index 42361437..db51c0b3 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -342,6 +342,7 @@ RUN pip install --upgrade cython && \
     # python -c "from google.cloud import bigquery; import tensorflow". This flow is common because bigquery is imported in kaggle_gcp.py
     # which is loaded at startup.
     pip install google-cloud-bigquery==1.12.1 && \
+    pip install google-cloud-storage && \
     pip install ortools && \
     pip install scattertext && \
     # Pandas data reader
diff --git a/tests/test_gcs.py b/tests/test_gcs.py
new file mode 100644
index 00000000..ff785813
--- /dev/null
+++ b/tests/test_gcs.py
@@ -0,0 +1,23 @@
+import unittest
+
+import mock
+
+from google.cloud import storage
+
+def _make_credentials():
+    import google.auth.credentials
+    return mock.Mock(spec=google.auth.credentials.Credentials)
+
+class TestStorage(unittest.TestCase):
+
+    def test_version(self):
+        self.assertIsNotNone(storage.__version__)
+
+    def test_ctr(self):
+        credentials = _make_credentials()
+        client = storage.Client(project="xyz", credentials=credentials)
+        self.assertEqual(client.project, "xyz")
+
+    def test_annonymous_client(self):
+        anonymous = storage.Client.create_anonymous_client()
+        self.assertIsNotNone(anonymous)

From a2941e53c5970b6c069543bdbec1d85374eaf780 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 18 Jun 2019 22:36:48 +0000
Subject: [PATCH 0659/1660] Install cuDNN 7.5.0

---
 gpu.Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index bdd50bbc..504af3f2 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -36,8 +36,8 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
       cuda-nvml-dev-$CUDA_PKG_VERSION \
       cuda-minimal-build-$CUDA_PKG_VERSION \
       cuda-command-line-tools-$CUDA_PKG_VERSION \
-      libcudnn7=7.4.2.24-1+cuda10.0 \
-      libcudnn7-dev=7.4.2.24-1+cuda10.0 \
+      libcudnn7=7.5.0.56-1+cuda10.0 \
+      libcudnn7-dev=7.5.0.56-1+cuda10.0 \
       libnccl2=2.4.2-1+cuda10.0 \
       libnccl-dev=2.4.2-1+cuda10.0 && \
     ln -s /usr/local/cuda-10.0 /usr/local/cuda && \

From 4307aa595c69995db5dfb64a9e252801a9067885 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 18 Jun 2019 15:39:41 -0700
Subject: [PATCH 0660/1660] whl still built with python 3.6.6

---
 tensorflow-whl/Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 682cd161..0005fe92 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -45,8 +45,8 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     ln -s /usr/local/cuda-10.0 /usr/local/cuda && \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
 
-# Install latest version of Python and conda.
-RUN conda update -y conda && conda update -y python
+# Work to upgrade to Python 3.7 can be found on this branch: https://github.com/Kaggle/docker-python/blob/upgrade-py37/Dockerfile
+RUN conda install -y python=3.6.6 && pip install --upgrade pip
 
 # Tensorflow 1.13 requires bazel >= 0.19.2 & <= 0.21.0
 ENV BAZEL_VERSION=0.21.0

From 4755ea69f92fb2d4a4dc1b480e7cef4c9b2834de Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 18 Jun 2019 23:43:53 +0000
Subject: [PATCH 0661/1660] expand cuDNN and cuda tests for tf and keras

---
 tests/test_keras.py      | 21 ++++++++++++++++++++-
 tests/test_tensorflow.py |  8 ++++++++
 2 files changed, 28 insertions(+), 1 deletion(-)

diff --git a/tests/test_keras.py b/tests/test_keras.py
index 9f8a1e4c..ca33a6eb 100644
--- a/tests/test_keras.py
+++ b/tests/test_keras.py
@@ -5,7 +5,7 @@
 import pandas as pd
 
 from keras.models import Sequential
-from keras.layers import Dense, Dropout, Flatten, Conv2D, MaxPooling2D
+from keras.layers import Dense, Dropout, Flatten, Conv2D, MaxPooling2D, CuDNNLSTM
 from keras.optimizers import RMSprop, SGD
 from keras.utils.np_utils import to_categorical
 
@@ -58,3 +58,22 @@ def test_conv2d(self):
         model.compile(loss='categorical_crossentropy', optimizer=sgd)
         model.fit(x_train, y_train, batch_size=32, epochs=1)
         model.evaluate(x_test, y_test, batch_size=32)
+
+    def test_cudnn_lstm(self):
+        x_train = np.random.random((100, 100, 100))
+        y_train = keras.utils.to_categorical(np.random.randint(10, size=(100, 1)), num_classes=10)
+        x_test = np.random.random((20, 100, 100))
+        y_test = keras.utils.to_categorical(np.random.randint(10, size=(20, 1)), num_classes=10)
+
+        sgd = SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
+
+        model = Sequential()
+        model.add(CuDNNLSTM(32, return_sequences=True, input_shape=(100, 100)))
+        model.add(Flatten())
+        model.add(Dense(10, activation='softmax'))
+
+
+        model.compile(loss='categorical_crossentropy', optimizer=sgd)
+        model.fit(x_train, y_train, batch_size=32, epochs=1)
+        model.evaluate(x_test, y_test, batch_size=32)
+
diff --git a/tests/test_tensorflow.py b/tests/test_tensorflow.py
index 64c249bf..5968316e 100644
--- a/tests/test_tensorflow.py
+++ b/tests/test_tensorflow.py
@@ -64,3 +64,11 @@ def test_gpu(self):
                 result = sess.run(op)
 
                 self.assertEqual(np.array(18, dtype=np.float32, ndmin=2), result)
+
+    @gpu_test
+    def test_is_built_with_cuda(self):
+        self.assertTrue(tf.test.is_built_with_cuda())
+
+    @gpu_test
+    def test_is_gpu_available(self):
+        self.assertTrue(tf.test.is_gpu_available(cuda_only=True))

From b9c95b0e5bddc06546735e332edbf927334d84ba Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 19 Jun 2019 16:19:54 +0000
Subject: [PATCH 0662/1660] add @gpu_test tag

---
 tests/test_keras.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/tests/test_keras.py b/tests/test_keras.py
index ca33a6eb..86ac55e2 100644
--- a/tests/test_keras.py
+++ b/tests/test_keras.py
@@ -9,6 +9,8 @@
 from keras.optimizers import RMSprop, SGD
 from keras.utils.np_utils import to_categorical
 
+from common import gpu_test
+
 class TestKeras(unittest.TestCase):
     def test_train(self):
         train = pd.read_csv("/input/tests/data/train.csv")
@@ -59,6 +61,7 @@ def test_conv2d(self):
         model.fit(x_train, y_train, batch_size=32, epochs=1)
         model.evaluate(x_test, y_test, batch_size=32)
 
+    @gpu_test
     def test_cudnn_lstm(self):
         x_train = np.random.random((100, 100, 100))
         y_train = keras.utils.to_categorical(np.random.randint(10, size=(100, 1)), num_classes=10)

From 11dc81f96a263027ff1dc4fd126bc922f1d76bac Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@google.com>
Date: Wed, 19 Jun 2019 18:06:41 -0700
Subject: [PATCH 0663/1660] =?UTF-8?q?Fixes=20dataproxy=20connection=20obje?=
 =?UTF-8?q?ct=20not=20returning=20api=20response.=20Makes=20b=E2=80=A6=20(?=
 =?UTF-8?q?#572)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* Fixes dataproxy connection object not returning api response. Makes bigquery unit test more robust:  tests api call end to end with data, doesn't swallow errors.

* Split test_bigquery proxy tests into their own file and simplify tests.
---
 patches/kaggle_gcp.py        |   2 +-
 tests/test_bigquery.py       | 126 +++++++++++++++++++----------------
 tests/test_bigquery_proxy.py |  77 +++++++++++++++++++++
 3 files changed, 145 insertions(+), 60 deletions(-)
 create mode 100644 tests/test_bigquery_proxy.py

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index 0f81deb6..1fa8e231 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -69,7 +69,7 @@ def api_request(self, *args, **kwargs):
         """Wrap Connection.api_request in order to handle errors gracefully.
         """
         try:
-            super().api_request(*args, **kwargs)
+            return super().api_request(*args, **kwargs)
         except Forbidden as e:
             msg = ("Permission denied using Kaggle's public BigQuery integration. "
                    "Did you mean to select a BigQuery account in the Kernels Settings sidebar?")
diff --git a/tests/test_bigquery.py b/tests/test_bigquery.py
index 74ce16a1..65f11841 100644
--- a/tests/test_bigquery.py
+++ b/tests/test_bigquery.py
@@ -1,5 +1,7 @@
 import unittest
 import os
+import json
+from unittest.mock import patch
 import threading
 from test.support import EnvironmentVarGuard
 from urllib.parse import urlparse
@@ -8,122 +10,128 @@
 
 from google.cloud import bigquery
 from google.auth.exceptions import DefaultCredentialsError
-from kaggle_gcp import KaggleKernelCredentials, PublicBigqueryClient
+from google.cloud.bigquery._http import Connection
+from kaggle_gcp import KaggleKernelCredentials, PublicBigqueryClient, _DataProxyConnection
+import kaggle_secrets
 
 
 class TestBigQuery(unittest.TestCase):
 
-    def _test_proxy(self, client, should_use_proxy):
+    API_BASE_URL = "http://127.0.0.1:2121"
+    def _test_integration(self, client):
         class HTTPHandler(BaseHTTPRequestHandler):
             called = False
-            header_found = False
+            bearer_header_found = False
 
             def do_HEAD(self):
                 self.send_response(200)
 
             def do_GET(self):
                 HTTPHandler.called = True
-                HTTPHandler.header_found = any(
-                    k for k in self.headers if k == "X-KAGGLE-PROXY-DATA" and self.headers[k] == "test-key")
+                HTTPHandler.bearer_header_found = any(
+                    k for k in self.headers if k == "authorization" and self.headers[k] == "Bearer secret")
                 self.send_response(200)
-
-        server_address = urlparse(os.getenv('KAGGLE_DATA_PROXY_URL'))
+                self.send_header("Content-type", "application/json")
+                self.end_headers()
+                sample_dataset = {
+                    "id": "bigqueryproject:datasetname",
+                    "datasetReference": {
+                        "datasetId": "datasetname",
+                        "projectId": "bigqueryproject"
+                    }
+                }
+                self.wfile.write(json.dumps({"kind": "bigquery#datasetList", "datasets": [sample_dataset]}).encode("utf-8"))
+
+        server_address = urlparse(self.API_BASE_URL)
         with HTTPServer((server_address.hostname, server_address.port), HTTPHandler) as httpd:
             threading.Thread(target=httpd.serve_forever).start()
 
-            try:
-                for _ in client.list_datasets():
-                    pass
-            except:
-                pass
-
+            for dataset in client.list_datasets():
+                self.assertEqual(dataset.dataset_id, "datasetname")    
+            
             httpd.shutdown()
-            if should_use_proxy:
-                self.assertTrue(
-                    HTTPHandler.called, msg="Fake server did not receive a request from the BQ client.")
-                self.assertTrue(
-                    HTTPHandler.header_found, msg="X-KAGGLE-PROXY-DATA header was missing from the BQ request.")
-            else:
-                self.assertFalse(
-                    HTTPHandler.called, msg="Fake server was called from the BQ client, but should not have been.")
-
-    def test_proxy_using_library(self):
-        env = EnvironmentVarGuard()
-        env.unset('KAGGLE_USER_SECRETS_TOKEN')
-        with env:
-            client = PublicBigqueryClient()
-            self._test_proxy(client, should_use_proxy=True)
-
-    def test_proxy_no_project(self):
-        env = EnvironmentVarGuard()
-        env.unset('KAGGLE_USER_SECRETS_TOKEN')
-        with env:
-            client = bigquery.Client()
-            self._test_proxy(client, should_use_proxy=True)
-
-    def test_proxy_with_kwargs(self):
-        env = EnvironmentVarGuard()
-        env.unset('KAGGLE_USER_SECRETS_TOKEN')
-        with env:
-            client = bigquery.Client(
-                default_query_job_config=bigquery.QueryJobConfig(maximum_bytes_billed=int(1e9)))
-            self._test_proxy(client, should_use_proxy=True)
-
-    def test_project_with_connected_account(self):
+            self.assertTrue(
+                    HTTPHandler.called, msg="Fake server was not called from the BQ client, but should have been.")
+
+            self.assertTrue(
+                HTTPHandler.bearer_header_found, msg="authorization header was missing from the BQ request.")
+    
+    def _setup_mocks(self, api_url_mock):
+        api_url_mock.__str__.return_value = self.API_BASE_URL
+
+    @patch.object(Connection, 'API_BASE_URL')
+    @patch.object(kaggle_secrets.UserSecretsClient, 'get_bigquery_access_token', return_value=('secret',1000))
+    def test_project_with_connected_account(self, mock_access_token, ApiUrlMock):
+        self._setup_mocks(ApiUrlMock)
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         with env:
             client = bigquery.Client(
                 project='ANOTHER_PROJECT', credentials=KaggleKernelCredentials())
-            self._test_proxy(client, should_use_proxy=False)
+            self._test_integration(client)
 
-    def test_project_with_empty_integrations(self):
+    @patch.object(Connection, 'API_BASE_URL')
+    @patch.object(kaggle_secrets.UserSecretsClient, 'get_bigquery_access_token', return_value=('secret',1000))
+    def test_project_with_empty_integrations(self, mock_access_token, ApiUrlMock):
+        self._setup_mocks(ApiUrlMock)
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         env.set('KAGGLE_KERNEL_INTEGRATIONS', '')
         with env:
             client = bigquery.Client(
                 project='ANOTHER_PROJECT', credentials=KaggleKernelCredentials())
-            self._test_proxy(client, should_use_proxy=False)
+            self._test_integration(client)
 
-    def test_project_with_connected_account_unrelated_integrations(self):
+    @patch.object(Connection, 'API_BASE_URL')
+    @patch.object(kaggle_secrets.UserSecretsClient, 'get_bigquery_access_token', return_value=('secret',1000))
+    def test_project_with_connected_account_unrelated_integrations(self, mock_access_token, ApiUrlMock):
+        self._setup_mocks(ApiUrlMock)
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         env.set('KAGGLE_KERNEL_INTEGRATIONS', 'GCS:ANOTHER_ONE')
         with env:
             client = bigquery.Client(
                 project='ANOTHER_PROJECT', credentials=KaggleKernelCredentials())
-            self._test_proxy(client, should_use_proxy=False)
+            self._test_integration(client)
 
-    def test_project_with_connected_account_default_credentials(self):
+    @patch.object(Connection, 'API_BASE_URL')
+    @patch.object(kaggle_secrets.UserSecretsClient, 'get_bigquery_access_token', return_value=('secret',1000))
+    def test_project_with_connected_account_default_credentials(self, mock_access_token, ApiUrlMock):
+        self._setup_mocks(ApiUrlMock)
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         env.set('KAGGLE_KERNEL_INTEGRATIONS', 'BIGQUERY')
         with env:
             client = bigquery.Client(project='ANOTHER_PROJECT')
-            self._test_proxy(client, should_use_proxy=False)
+            self._test_integration(client)
 
-    def test_project_with_env_var_project_default_credentials(self):
+    @patch.object(Connection, 'API_BASE_URL')
+    @patch.object(kaggle_secrets.UserSecretsClient, 'get_bigquery_access_token', return_value=('secret',1000))
+    def test_project_with_env_var_project_default_credentials(self, mock_access_token, ApiUrlMock):
+        self._setup_mocks(ApiUrlMock)
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         env.set('KAGGLE_KERNEL_INTEGRATIONS', 'BIGQUERY')
         env.set('GOOGLE_CLOUD_PROJECT', 'ANOTHER_PROJECT')
         with env:
             client = bigquery.Client()
-            self._test_proxy(client, should_use_proxy=False)
+            self._test_integration(client)
 
-    def test_simultaneous_clients(self):
+    @patch.object(Connection, 'API_BASE_URL')
+    @patch.object(kaggle_secrets.UserSecretsClient, 'get_bigquery_access_token', return_value=('secret',1000))
+    def test_simultaneous_clients(self, mock_access_token, ApiUrlMock):
+        self._setup_mocks(ApiUrlMock)
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         with env:
             proxy_client = bigquery.Client()
-            self._test_proxy(proxy_client, should_use_proxy=True)
             bq_client = bigquery.Client(
                 project='ANOTHER_PROJECT', credentials=KaggleKernelCredentials())
-            self._test_proxy(bq_client, should_use_proxy=False)
+            self._test_integration(bq_client)
             # Verify that proxy client is still going to proxy to ensure global Connection
             # isn't being modified.
-            self._test_proxy(proxy_client, should_use_proxy=True)
+            self.assertNotEqual(type(proxy_client._connection), KaggleKernelCredentials)
+            self.assertEqual(type(proxy_client._connection), _DataProxyConnection)
 
     def test_no_project_with_connected_account(self):
         env = EnvironmentVarGuard()
@@ -134,7 +142,7 @@ def test_no_project_with_connected_account(self):
                 # TODO(vimota): Handle this case, either default to Kaggle Proxy or use some default project
                 # by the user or throw a custom exception.
                 client = bigquery.Client()
-                self._test_proxy(client, should_use_proxy=False)
+                self._test_integration(client)
 
     def test_magics_with_connected_account_default_credentials(self):
         env = EnvironmentVarGuard()
diff --git a/tests/test_bigquery_proxy.py b/tests/test_bigquery_proxy.py
new file mode 100644
index 00000000..b949faf2
--- /dev/null
+++ b/tests/test_bigquery_proxy.py
@@ -0,0 +1,77 @@
+import unittest
+import os
+import json
+from unittest.mock import patch
+import threading
+from test.support import EnvironmentVarGuard
+from urllib.parse import urlparse
+
+from http.server import BaseHTTPRequestHandler, HTTPServer
+
+from google.cloud import bigquery
+from google.auth.exceptions import DefaultCredentialsError
+from google.cloud.bigquery._http import Connection
+from kaggle_gcp import KaggleKernelCredentials, PublicBigqueryClient
+import kaggle_secrets
+
+
+class TestBigQuery(unittest.TestCase):
+
+    def _test_proxy(self, client):
+        class HTTPHandler(BaseHTTPRequestHandler):
+            called = False
+            proxy_header_found = False
+
+            def do_HEAD(self):
+                self.send_response(200)
+
+            def do_GET(self):
+                HTTPHandler.called = True
+                HTTPHandler.proxy_header_found = any(
+                    k for k in self.headers if k == "X-KAGGLE-PROXY-DATA" and self.headers[k] == "test-key")
+                self.send_response(200)
+                self.send_header("Content-type", "application/json")
+                self.end_headers()
+                sample_dataset = {
+                    "id": "bigqueryproject:datasetname",
+                    "datasetReference": {
+                        "datasetId": "datasetname",
+                        "projectId": "bigqueryproject"
+                    }
+                }
+                self.wfile.write(json.dumps({"kind": "bigquery#datasetList", "datasets": [sample_dataset]}).encode("utf-8"))
+
+        server_address = urlparse(os.getenv('KAGGLE_DATA_PROXY_URL'))
+        with HTTPServer((server_address.hostname, server_address.port), HTTPHandler) as httpd:
+            threading.Thread(target=httpd.serve_forever).start()
+
+            for dataset in client.list_datasets():
+                self.assertEqual(dataset.dataset_id, "datasetname")    
+            
+            httpd.shutdown()
+            self.assertTrue(
+                    HTTPHandler.called, msg="Fake server was not called from the BQ client, but should have been.")
+            self.assertTrue(
+                HTTPHandler.proxy_header_found, msg="X-KAGGLE-PROXY-DATA header was missing from the BQ proxy request.")
+
+    def test_proxy_using_library(self):
+        env = EnvironmentVarGuard()
+        env.unset('KAGGLE_USER_SECRETS_TOKEN')
+        with env:
+            client = PublicBigqueryClient()
+            self._test_proxy(client)
+
+    def test_proxy_no_project(self):
+        env = EnvironmentVarGuard()
+        env.unset('KAGGLE_USER_SECRETS_TOKEN')
+        with env:
+            client = bigquery.Client()
+            self._test_proxy(client)
+
+    def test_proxy_with_kwargs(self):
+        env = EnvironmentVarGuard()
+        env.unset('KAGGLE_USER_SECRETS_TOKEN')
+        with env:
+            client = bigquery.Client(
+                default_query_job_config=bigquery.QueryJobConfig(maximum_bytes_billed=int(1e9)))
+            self._test_proxy(client)

From 2fa38081f173022b10bb00f76e25e8439eb6ba4b Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@google.com>
Date: Tue, 2 Jul 2019 13:50:40 -0700
Subject: [PATCH 0664/1660] Add GcpTarget enum, and _get_access_token method.

---
 patches/kaggle_secrets.py  | 14 +++++++++++++-
 tests/test_user_secrets.py | 22 +++++++++++++++-------
 2 files changed, 28 insertions(+), 8 deletions(-)

diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index 72514587..d868bbeb 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -9,6 +9,7 @@
 import socket
 import urllib.request
 from datetime import datetime, timedelta
+from enum import Enum, unique
 from typing import Optional, Tuple
 from urllib.error import HTTPError, URLError
 
@@ -25,6 +26,11 @@ class CredentialError(Exception):
 class BackendError(Exception):
     pass
 
+@unique
+class GcpTarget(Enum):
+    BIGQUERY = 1
+    GCS = 2
+
 
 class UserSecretsClient():
     GET_USER_SECRET_ENDPOINT = '/requests/GetUserSecretRequest'
@@ -78,8 +84,14 @@ def get_bigquery_access_token(self) -> Tuple[str, Optional[datetime]]:
             client = UserSecretsClient()
             token, expiry = client.get_bigquery_access_token()
         """
+        return self._get_access_token(GcpTarget.BIGQUERY)
+
+    def _get_gcs_access_token(self) -> Tuple[str, Optional[datetime]]:
+        return self._get_access_token(GcpTarget.GCS)
+
+    def _get_access_token(self, target: GcpTarget) -> Tuple[str, Optional[datetime]]:
         request_body = {
-            'Target': self.BIGQUERY_TARGET_VALUE
+            'Target': target.value
         }
         response_json = self._make_post_request(request_body)
         if 'secret' not in response_json:
diff --git a/tests/test_user_secrets.py b/tests/test_user_secrets.py
index 2e6e31ec..7e680a95 100644
--- a/tests/test_user_secrets.py
+++ b/tests/test_user_secrets.py
@@ -12,7 +12,7 @@
 from google.cloud import bigquery
 from kaggle_secrets import (_KAGGLE_URL_BASE_ENV_VAR_NAME,
                             _KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME,
-                            CredentialError, UserSecretsClient, BackendError)
+                            CredentialError, GcpTarget, UserSecretsClient, BackendError)
 
 _TEST_JWT = 'test-secrets-key'
 
@@ -90,17 +90,25 @@ def test_get_access_token_succeeds(self, mock_dt):
         now = datetime(1993, 4, 24)
         mock_dt.utcnow = mock.Mock(return_value=now)
 
-        def call_get_access_token():
+        def call_get_bigquery_access_token():
             client = UserSecretsClient()
             secret_response = client.get_bigquery_access_token()
-            self.assertEqual(secret_response, (secret, now + timedelta(seconds=3600))) 
-        self._test_client(call_get_access_token,
-                          '/requests/GetUserSecretRequest', {'Target': 1, 'JWE': _TEST_JWT}, secret=secret)
-    
+            self.assertEqual(secret_response, (secret, now + timedelta(seconds=3600)))
+        def call_get_gcs_access_token():
+            client = UserSecretsClient()
+            secret_response = client._get_gcs_access_token()
+            self.assertEqual(secret_response, (secret, now + timedelta(seconds=3600)))
+        self._test_client(call_get_bigquery_access_token,
+                          '/requests/GetUserSecretRequest', {'Target': GcpTarget.BIGQUERY.value, 'JWE': _TEST_JWT},
+                          secret=secret)
+        self._test_client(call_get_gcs_access_token,
+                          '/requests/GetUserSecretRequest', {'Target': GcpTarget.GCS.value, 'JWE': _TEST_JWT},
+                          secret=secret)
+
     def test_get_access_token_handles_unsuccessful(self):
         def call_get_access_token():
             client = UserSecretsClient()
             with self.assertRaises(BackendError):
                 client.get_bigquery_access_token()
         self._test_client(call_get_access_token,
-                          '/requests/GetUserSecretRequest', {'Target': 1, 'JWE': _TEST_JWT}, success=False)
+                          '/requests/GetUserSecretRequest', {'Target': GcpTarget.BIGQUERY.value, 'JWE': _TEST_JWT}, success=False)

From 02a10c8c1b4c68afa59bfd7e120f78035fddd09e Mon Sep 17 00:00:00 2001
From: DJ Sterling <dster@google.com>
Date: Tue, 2 Jul 2019 15:44:39 -0600
Subject: [PATCH 0665/1660] Fixes CPU build by updating Anaconda and
 fastText->fasttext

---
 Dockerfile             | 4 ++--
 tests/test_fasttext.py | 4 ++--
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index db51c0b3..0ff5f436 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,4 +1,4 @@
-ARG BASE_TAG=5.3.0
+ARG BASE_TAG=2019.03
 
 FROM gcr.io/kaggle-images/python-tensorflow-whl:1.13.1-py36-2 as tensorflow_whl
 FROM continuumio/anaconda3:${BASE_TAG}
@@ -334,7 +334,7 @@ RUN pip install --upgrade cython && \
     pip install --upgrade cysignals && \
     pip install pyfasttext && \
     pip install ktext && \
-    pip install git+git://github.com/facebookresearch/fastText.git && \
+    pip install fasttext && \
     apt-get install -y libhunspell-dev && pip install hunspell && \
     pip install annoy && \
     pip install category_encoders && \
diff --git a/tests/test_fasttext.py b/tests/test_fasttext.py
index e7112ae7..ae353455 100644
--- a/tests/test_fasttext.py
+++ b/tests/test_fasttext.py
@@ -1,9 +1,9 @@
 import unittest
 
-import fastText
+import fasttext
 
 class TestFastText(unittest.TestCase):
     def test_tokenize(self):
-        tokens = fastText.FastText.tokenize("Hello World")
+        tokens = fasttext.FastText.tokenize("Hello World")
 
         self.assertEqual(["Hello", "World"], tokens)

From 5f73e2c50eb9660c6e09d3ea5cd94b4796ef0dac Mon Sep 17 00:00:00 2001
From: DJ <dster@google.com>
Date: Wed, 3 Jul 2019 10:52:03 -0600
Subject: [PATCH 0666/1660] Switch `conda uninstall` to `conda remove --force`

---
 gpu.Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 504af3f2..569fc8fa 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -50,7 +50,7 @@ COPY --from=tensorflow_whl /tmp/tensorflow_gpu/*.whl /tmp/tensorflow_gpu/
 RUN pip uninstall -y tensorflow && \
     pip install /tmp/tensorflow_gpu/tensorflow*.whl && \
     rm -rf /tmp/tensorflow_gpu && \
-    conda uninstall -y pytorch-cpu torchvision-cpu && \
+    conda remove --force -y pytorch-cpu torchvision-cpu && \
     conda install -y pytorch torchvision cudatoolkit=10.0 -c pytorch && \
     pip uninstall -y mxnet && \
     # b/126259508 --no-deps prevents numpy from being downgraded.

From 52832d4cb6b30ef5b30868cdddfe077eb926f73e Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 28 Jun 2019 14:42:56 -0700
Subject: [PATCH 0667/1660] build TensorFlow wheels for 1.14

---
 tensorflow-whl/CHANGELOG.md | 13 +++++++------
 tensorflow-whl/Dockerfile   |  6 +++---
 2 files changed, 10 insertions(+), 9 deletions(-)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index c9776f81..b1dd8589 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -1,6 +1,7 @@
-1.11.0-py36: Tensorflow 1.11.0 wheels built with python 3.6
-1.12.0-py36: Tensorflow 1.12.0 wheels with Cuda 9.2
-1.13.1-py36: Tensorflow 1.13.1 wheels with Cuda 10.0
-1.13.1-py36-2: Tensorflow 1.13.1 wheels with Cuda 10.0 and bump anaconda3 base image version to 5.3.0 
-1.13.1-py37: Tensorflow 1.13.1 with Python 3.7.0 and bump anaconda3 base image version to 5.3.0 
-1.13.1-py37-2: Tensorflow 1.13.1 with Python 3.7.3
+1.11.0-py36: TensorFlow 1.11.0 wheels built with python 3.6
+1.12.0-py36: TensorFlow 1.12.0 wheels with Cuda 9.2
+1.13.1-py36: TensorFlow 1.13.1 wheels with Cuda 10.0
+1.13.1-py36-2: TensorFlow 1.13.1 wheels with Cuda 10.0 and bump anaconda3 base image version to 5.3.0 
+1.13.1-py37: TensorFlow 1.13.1 with Python 3.7.0 and bump anaconda3 base image version to 5.3.0 
+1.13.1-py37-2: TensorFlow 1.13.1 with Python 3.7.3
+1.14.0-py36: TensorFlow 1.14.0 with Python 3.6
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 0005fe92..7b5ad519 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -48,8 +48,8 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
 # Work to upgrade to Python 3.7 can be found on this branch: https://github.com/Kaggle/docker-python/blob/upgrade-py37/Dockerfile
 RUN conda install -y python=3.6.6 && pip install --upgrade pip
 
-# Tensorflow 1.13 requires bazel >= 0.19.2 & <= 0.21.0
-ENV BAZEL_VERSION=0.21.0
+# The tested build configurations for Tensorflow 1.14 uses Bazel 0.24.1: https://www.tensorflow.org/install/source#tested_build_configurations
+ENV BAZEL_VERSION=0.24.1
 RUN apt-get install -y gnupg zip openjdk-8-jdk && \
     apt-get install -y --no-install-recommends \
       bash-completion \
@@ -62,7 +62,7 @@ RUN apt-get install -y gnupg zip openjdk-8-jdk && \
 RUN cd /usr/local/src && \
     git clone https://github.com/tensorflow/tensorflow && \
     cd tensorflow && \
-    git checkout r1.13 && \
+    git checkout r1.14 && \
     pip install keras_applications --no-deps && \
     pip install keras_preprocessing --no-deps
 

From d4924e819beb7740b57b97d1ab45c5c05d5e3f4e Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 28 Jun 2019 16:32:42 -0700
Subject: [PATCH 0668/1660] install numpy in whl build

---
 tensorflow-whl/Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 7b5ad519..51ddd16b 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -46,7 +46,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
 
 # Work to upgrade to Python 3.7 can be found on this branch: https://github.com/Kaggle/docker-python/blob/upgrade-py37/Dockerfile
-RUN conda install -y python=3.6.6 && pip install --upgrade pip
+RUN conda install -y python=3.6.6 && pip install --upgrade pip && pip install numpy
 
 # The tested build configurations for Tensorflow 1.14 uses Bazel 0.24.1: https://www.tensorflow.org/install/source#tested_build_configurations
 ENV BAZEL_VERSION=0.24.1

From 1c32e9b7e805c05d2fc760d20f0f6a9dfb25ec2b Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 2 Jul 2019 15:12:07 -0700
Subject: [PATCH 0669/1660] upgrade anaconda3 base image to 2019.03

---
 tensorflow-whl/Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 51ddd16b..5e24c67c 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -1,5 +1,5 @@
 FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04 AS nvidia
-FROM continuumio/anaconda3:5.3.0
+FROM continuumio/anaconda3:2019.03
 
 # Avoid interactive configuration prompts/dialogs during apt-get.
 ENV DEBIAN_FRONTEND=noninteractive

From b95f42d1e205668c14927e45d93a04325891b9ab Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 3 Jul 2019 12:33:20 -0700
Subject: [PATCH 0670/1660] install TensorFlow 1.14 whl

---
 Dockerfile     | 2 +-
 gpu.Dockerfile | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 0ff5f436..021f0283 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,6 +1,6 @@
 ARG BASE_TAG=2019.03
 
-FROM gcr.io/kaggle-images/python-tensorflow-whl:1.13.1-py36-2 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:1.14.0-py36 as tensorflow_whl
 FROM continuumio/anaconda3:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 569fc8fa..cd8051c3 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=staging
 
 FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04 AS nvidia
-FROM gcr.io/kaggle-images/python-tensorflow-whl:1.13.1-py36-2 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:1.14.0-py36 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh

From 17c022a0da076a0ece719d6457100b10c45517ef Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@google.com>
Date: Wed, 3 Jul 2019 14:34:45 -0700
Subject: [PATCH 0671/1660] Use GcpTarget in KaggleKernelCredentials

---
 patches/kaggle_gcp.py      | 17 +++++++++++++----
 patches/kaggle_secrets.py  | 19 ++++++++++++++++---
 tests/test_user_secrets.py |  6 +++---
 3 files changed, 32 insertions(+), 10 deletions(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index 1fa8e231..8834cd6b 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -4,7 +4,7 @@
 from google.cloud import bigquery
 from google.cloud.exceptions import Forbidden
 from google.cloud.bigquery._http import Connection
-from kaggle_secrets import UserSecretsClient
+from kaggle_secrets import GcpTarget, UserSecretsClient
 
 from log import Log
 
@@ -29,6 +29,9 @@ def add_integration(self, integration_name):
     def has_bigquery(self):
         return 'bigquery' in self.integrations.keys()
 
+    def has_gcs(self):
+        return 'gcs' in self.integrations.keys()
+
 
 class KaggleKernelCredentials(credentials.Credentials):
     """Custom Credentials used to authenticate using the Kernel's connected OAuth account.
@@ -36,19 +39,25 @@ class KaggleKernelCredentials(credentials.Credentials):
     client = bigquery.Client(project='ANOTHER_PROJECT',
                                 credentials=KaggleKernelCredentials())
     """
+    def __init__(self, target=GcpTarget.BIGQUERY):
+        super().__init__()
+        self.target = target
 
     def refresh(self, request):
         try:
             client = UserSecretsClient()
-            self.token, self.expiry = client.get_bigquery_access_token()
+            if self.target == GcpTarget.BIGQUERY:
+                self.token, self.expiry = client.get_bigquery_access_token()
+            elif self.target == GcpTarget.GCS:
+                self.token, self.expiry = client._get_gcs_access_token()
         except ConnectionError as e:
             Log.error(f"Connection error trying to refresh access token: {e}")
             print("There was a connection error trying to fetch the access token. "
-                  "Please ensure internet is on in order to use the BigQuery Integration.")
+                  f"Please ensure internet is on in order to use the {self.target.service} Integration.")
             raise RefreshError('Unable to refresh access token due to connection error.') from e
         except Exception as e:
             Log.error(f"Error trying to refresh access token: {e}")
-            if (not get_integrations().has_bigquery()):
+            if (not get_integrations().has_bigquery() and self.target == GcpTarget.BIGQUERY):
                 Log.error(f"No bigquery integration found.")
                 print(
                     'Please ensure you have selected a BigQuery account in the Kernels Settings sidebar.')
diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index d868bbeb..d2fc0d9f 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -28,8 +28,21 @@ class BackendError(Exception):
 
 @unique
 class GcpTarget(Enum):
-    BIGQUERY = 1
-    GCS = 2
+    """Enum class to store GCP targets."""
+    BIGQUERY = (1, "BigQuery")
+    GCS = (2, "Google Cloud Storage")
+
+    def __init__(self, target, service):
+        self._target = target
+        self._service = service
+
+    @property
+    def target(self):
+        return self._target
+
+    @property
+    def service(self):
+        return self._service
 
 
 class UserSecretsClient():
@@ -91,7 +104,7 @@ def _get_gcs_access_token(self) -> Tuple[str, Optional[datetime]]:
 
     def _get_access_token(self, target: GcpTarget) -> Tuple[str, Optional[datetime]]:
         request_body = {
-            'Target': target.value
+            'Target': target.target
         }
         response_json = self._make_post_request(request_body)
         if 'secret' not in response_json:
diff --git a/tests/test_user_secrets.py b/tests/test_user_secrets.py
index 7e680a95..c418b0fc 100644
--- a/tests/test_user_secrets.py
+++ b/tests/test_user_secrets.py
@@ -99,10 +99,10 @@ def call_get_gcs_access_token():
             secret_response = client._get_gcs_access_token()
             self.assertEqual(secret_response, (secret, now + timedelta(seconds=3600)))
         self._test_client(call_get_bigquery_access_token,
-                          '/requests/GetUserSecretRequest', {'Target': GcpTarget.BIGQUERY.value, 'JWE': _TEST_JWT},
+                          '/requests/GetUserSecretRequest', {'Target': GcpTarget.BIGQUERY.target, 'JWE': _TEST_JWT},
                           secret=secret)
         self._test_client(call_get_gcs_access_token,
-                          '/requests/GetUserSecretRequest', {'Target': GcpTarget.GCS.value, 'JWE': _TEST_JWT},
+                          '/requests/GetUserSecretRequest', {'Target': GcpTarget.GCS.target, 'JWE': _TEST_JWT},
                           secret=secret)
 
     def test_get_access_token_handles_unsuccessful(self):
@@ -111,4 +111,4 @@ def call_get_access_token():
             with self.assertRaises(BackendError):
                 client.get_bigquery_access_token()
         self._test_client(call_get_access_token,
-                          '/requests/GetUserSecretRequest', {'Target': GcpTarget.BIGQUERY.value, 'JWE': _TEST_JWT}, success=False)
+                          '/requests/GetUserSecretRequest', {'Target': GcpTarget.BIGQUERY.target, 'JWE': _TEST_JWT}, success=False)

From 125c75ea246c2d95f0addbb31b2d82dde588f21d Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@google.com>
Date: Wed, 3 Jul 2019 14:58:06 -0700
Subject: [PATCH 0672/1660] Add a unit test for KaggleKernelCredentials.

---
 tests/test_kaggle_kernel_credentials.py | 10 ++++++++++
 1 file changed, 10 insertions(+)
 create mode 100644 tests/test_kaggle_kernel_credentials.py

diff --git a/tests/test_kaggle_kernel_credentials.py b/tests/test_kaggle_kernel_credentials.py
new file mode 100644
index 00000000..916d2358
--- /dev/null
+++ b/tests/test_kaggle_kernel_credentials.py
@@ -0,0 +1,10 @@
+import unittest
+
+from kaggle_secrets import GcpTarget
+from kaggle_gcp import KaggleKernelCredentials
+
+class TestKaggleKernelCredentials(unittest.TestCase):
+
+    def test_default_target(self):
+        creds = KaggleKernelCredentials()
+        self.assertEqual(GcpTarget.BIGQUERY, creds.target)

From bef0ead1936898ceca977fc43a1cee267e1fbdc0 Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@google.com>
Date: Wed, 3 Jul 2019 16:16:39 -0700
Subject: [PATCH 0673/1660] Use target.service in error messages.

---
 patches/kaggle_gcp.py | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index 8834cd6b..da5ef7db 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -57,10 +57,9 @@ def refresh(self, request):
             raise RefreshError('Unable to refresh access token due to connection error.') from e
         except Exception as e:
             Log.error(f"Error trying to refresh access token: {e}")
-            if (not get_integrations().has_bigquery() and self.target == GcpTarget.BIGQUERY):
-                Log.error(f"No bigquery integration found.")
-                print(
-                    'Please ensure you have selected a BigQuery account in the Kernels Settings sidebar.')
+            Log.error(f"No {self.target.service} integration found.")
+            print(
+                f"Please ensure you have selected a {self.target.service} account in the Kernels Settings sidebar.")
             raise RefreshError('Unable to refresh access token.') from e
 
 

From beefeb9877afbe03023b9729398d0bf80f61211a Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@google.com>
Date: Wed, 3 Jul 2019 17:01:24 -0700
Subject: [PATCH 0674/1660] Use GcpTarget in KaggleIntegrations.

---
 patches/kaggle_gcp.py | 24 ++++++++++++++++--------
 1 file changed, 16 insertions(+), 8 deletions(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index da5ef7db..44145078 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -15,7 +15,11 @@ def get_integrations():
     if kernel_integrations_var is None:
         return kernel_integrations
     for integration in kernel_integrations_var.split(':'):
-        kernel_integrations.add_integration(integration.lower())
+        try:
+            target = GcpTarget[integration.upper()]
+            kernel_integrations.add_integration(target)
+        except KeyError as e:
+            Log.error(f"Unknown integration target: {e}")
     return kernel_integrations
 
 
@@ -23,14 +27,17 @@ class KernelIntegrations():
     def __init__(self):
         self.integrations = {}
 
-    def add_integration(self, integration_name):
-        self.integrations[integration_name] = True
+    def add_integration(self, target):
+        self.integrations[target] = True
+
+    def has_integration(self, target):
+        return target in self.integrations
 
     def has_bigquery(self):
-        return 'bigquery' in self.integrations.keys()
+        return GcpTarget.BIGQUERY in self.integrations
 
     def has_gcs(self):
-        return 'gcs' in self.integrations.keys()
+        return GcpTarget.GCS in self.integrations
 
 
 class KaggleKernelCredentials(credentials.Credentials):
@@ -57,9 +64,10 @@ def refresh(self, request):
             raise RefreshError('Unable to refresh access token due to connection error.') from e
         except Exception as e:
             Log.error(f"Error trying to refresh access token: {e}")
-            Log.error(f"No {self.target.service} integration found.")
-            print(
-                f"Please ensure you have selected a {self.target.service} account in the Kernels Settings sidebar.")
+            if (not get_integrations().has_integration(self.target)):
+                Log.error(f"No {self.target.service} integration found.")
+                print(
+                   f"Please ensure you have selected a {self.target.service} account in the Kernels Settings sidebar.")
             raise RefreshError('Unable to refresh access token.') from e
 
 

From bad5e74c79321d1a9062e724fd3293bd0f232936 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 4 Jul 2019 19:46:50 +0000
Subject: [PATCH 0675/1660] Add LABELs and files in /etc/ to identify build

---
 Dockerfile | 9 +++++++++
 build      | 3 +++
 2 files changed, 12 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 021f0283..71924b95 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -3,6 +3,15 @@ ARG BASE_TAG=2019.03
 FROM gcr.io/kaggle-images/python-tensorflow-whl:1.14.0-py36 as tensorflow_whl
 FROM continuumio/anaconda3:${BASE_TAG}
 
+ARG GIT_COMMIT=unknown
+ARG BUILD_DATE=unknown
+
+LABEL git-commit=$GIT_COMMIT
+LABEL build-date=$BUILD_DATE
+
+# Correlate current release with the git hash inside the kernel editor by running `!cat /etc/git_commit`.
+RUN echo "$GIT_COMMIT" > /etc/git_commit && echo "$BUILD_DATE" > /etc/build_date
+
 ADD clean-layer.sh  /tmp/clean-layer.sh
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
 
diff --git a/build b/build
index 8a0fd51f..ae9a9779 100755
--- a/build
+++ b/build
@@ -52,6 +52,9 @@ while :; do
     shift
 done
 
+BUILD_ARGS+=" --build-arg GIT_COMMIT=$(git rev-parse HEAD)"
+BUILD_ARGS+=" --build-arg BUILD_DATE=$(date '+%Y%m%d-%H%M%S')"
+
 readonly CACHE_FLAG
 readonly DOCKERFILE
 readonly IMAGE_TAG

From 44f637a6fc9ab8d1e69b293e26425be0cdabc499 Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@google.com>
Date: Tue, 9 Jul 2019 15:35:55 -0700
Subject: [PATCH 0676/1660] Set KaggleKernelCredentials as default for GCS

---
 patches/sitecustomize.py | 124 +++++++++++++++++++++++----------------
 1 file changed, 74 insertions(+), 50 deletions(-)

diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index 2558a62b..03013331 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -1,60 +1,84 @@
 import os
 
-from kaggle_gcp import get_integrations
 from log import Log
 
 kaggle_proxy_token = os.getenv("KAGGLE_DATA_PROXY_TOKEN")
 kernel_integrations_var = os.getenv("KAGGLE_KERNEL_INTEGRATIONS")
 
 def init():
-    bq_user_jwt = os.getenv("KAGGLE_USER_SECRETS_TOKEN")
-    if kaggle_proxy_token or bq_user_jwt:
-        from google.auth import credentials, environment_vars
-        from google.cloud import bigquery
-        from google.cloud.bigquery._http import Connection
-        # TODO: Update this to the correct kaggle.gcp path once we no longer inject modules
-        # from the worker.
-        from kaggle_gcp import PublicBigqueryClient, KaggleKernelCredentials
-
-        # If this Kernel has bigquery integration on startup, preload the Kaggle Credentials
-        # object for magics to work. 
-        if get_integrations().has_bigquery():
-            from google.cloud.bigquery import magics
-            magics.context.credentials = KaggleKernelCredentials()
-
-        def monkeypatch_bq(bq_client, *args, **kwargs):
-            specified_credentials = kwargs.get('credentials')
-            has_bigquery = get_integrations().has_bigquery()
-            # Prioritize passed in project id, but if it is missing look for env var. 
-            arg_project = kwargs.get('project')
-            explicit_project_id = arg_project or os.environ.get(environment_vars.PROJECT)
-            # This is a hack to get around the bug in google-cloud library.
-            # Remove these two lines once this is resolved:
-            # https://github.com/googleapis/google-cloud-python/issues/8108
-            if explicit_project_id:
-                Log.info(f"Explicit project set to {explicit_project_id}")
-                kwargs['project'] = explicit_project_id
-            if explicit_project_id is None and specified_credentials is None and not has_bigquery:
-                msg = "Using Kaggle's public dataset BigQuery integration."
-                Log.info(msg)
-                print(msg)
-                return PublicBigqueryClient(*args, **kwargs)
-
-            else:
-                if specified_credentials is None:
-                    Log.info("No credentials specified, using KaggleKernelCredentials.")
-                    kwargs['credentials'] = KaggleKernelCredentials()
-                    if (not has_bigquery):
-                        Log.info("No bigquery integration found, creating client anyways.")
-                        print('Please ensure you have selected a BigQuery '
-                            'account in the Kernels Settings sidebar.')
-                return bq_client(*args, **kwargs)
-
-        # Monkey patches BigQuery client creation to use proxy or user-connected GCP account.
-        # Deprecated in favor of Kaggle.DataProxyClient().
-        # TODO: Remove this once uses have migrated to that new interface.
-        bq_client = bigquery.Client
-        bigquery.Client = lambda *args, **kwargs:  monkeypatch_bq(
-            bq_client, *args, **kwargs)
+    is_jwe_set = "KAGGLE_USER_SECRETS_TOKEN" in os.environ
+    if kaggle_proxy_token or is_jwe_set:
+        init_bigquery()
+    if is_jwe_set:
+        if get_integrations().has_gcs():
+            init_gcs()
+
+
+def init_bigquery():
+    from google.auth import credentials, environment_vars
+    from google.cloud import bigquery
+    from google.cloud.bigquery._http import Connection
+    # TODO: Update this to the correct kaggle.gcp path once we no longer inject modules
+    # from the worker.
+    from kaggle_gcp import get_integrations, PublicBigqueryClient, KaggleKernelCredentials
+
+    # If this Kernel has bigquery integration on startup, preload the Kaggle Credentials
+    # object for magics to work. 
+    if get_integrations().has_bigquery():
+        from google.cloud.bigquery import magics
+        magics.context.credentials = KaggleKernelCredentials()
+
+    def monkeypatch_bq(bq_client, *args, **kwargs):
+        specified_credentials = kwargs.get('credentials')
+        has_bigquery = get_integrations().has_bigquery()
+        # Prioritize passed in project id, but if it is missing look for env var. 
+        arg_project = kwargs.get('project')
+        explicit_project_id = arg_project or os.environ.get(environment_vars.PROJECT)
+        # This is a hack to get around the bug in google-cloud library.
+        # Remove these two lines once this is resolved:
+        # https://github.com/googleapis/google-cloud-python/issues/8108
+        if explicit_project_id:
+            Log.info(f"Explicit project set to {explicit_project_id}")
+            kwargs['project'] = explicit_project_id
+        if explicit_project_id is None and specified_credentials is None and not has_bigquery:
+            msg = "Using Kaggle's public dataset BigQuery integration."
+            Log.info(msg)
+            print(msg)
+            return PublicBigqueryClient(*args, **kwargs)
+
+        else:
+            if specified_credentials is None:
+                Log.info("No credentials specified, using KaggleKernelCredentials.")
+                kwargs['credentials'] = KaggleKernelCredentials()
+                if (not has_bigquery):
+                    Log.info("No bigquery integration found, creating client anyways.")
+                    print('Please ensure you have selected a BigQuery '
+                        'account in the Kernels Settings sidebar.')
+            return bq_client(*args, **kwargs)
+
+    # Monkey patches BigQuery client creation to use proxy or user-connected GCP account.
+    # Deprecated in favor of Kaggle.DataProxyClient().
+    # TODO: Remove this once uses have migrated to that new interface.
+    bq_client = bigquery.Client
+    bigquery.Client = lambda *args, **kwargs:  monkeypatch_bq(
+        bq_client, *args, **kwargs)
+
+
+def init_gcs():
+   from kaggle_gcp import get_integrations
+   if get_integrations().has_gcs():
+       from kaggle_secrets import GcpTarget
+       from kaggle_gcp import KaggleKernelCredentials
+       from google.cloud import storage
+       def monkeypatch_gcs(gcs_client, *args, **kwargs):
+           specified_credentials = kwargs.get('credentials')
+           if specified_credentials is None:
+               Log.info("No credentials specified, using KaggleKernelCredentials.")
+               kwargs['credentials'] = KaggleKernelCredentials(target=GcpTarget.GCS)
+               return gcs_client(*args, **kwargs)
+
+       gcs_client = storage.Client
+       storage.Client = lambda *args, **kwargs:  monkeypatch_gcs(gcs_client, *args, **kwargs)
+
 
 init()

From c2dbd8070b82d2ba81fb5d6b2179e9831442a905 Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@google.com>
Date: Tue, 9 Jul 2019 17:11:17 -0700
Subject: [PATCH 0677/1660] Fix import

---
 patches/sitecustomize.py | 25 ++++++++++++-------------
 1 file changed, 12 insertions(+), 13 deletions(-)

diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index 03013331..3a90522e 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -10,6 +10,7 @@ def init():
     if kaggle_proxy_token or is_jwe_set:
         init_bigquery()
     if is_jwe_set:
+        from kaggle_gcp import get_integrations
         if get_integrations().has_gcs():
             init_gcs()
 
@@ -65,20 +66,18 @@ def monkeypatch_bq(bq_client, *args, **kwargs):
 
 
 def init_gcs():
-   from kaggle_gcp import get_integrations
-   if get_integrations().has_gcs():
-       from kaggle_secrets import GcpTarget
-       from kaggle_gcp import KaggleKernelCredentials
-       from google.cloud import storage
-       def monkeypatch_gcs(gcs_client, *args, **kwargs):
-           specified_credentials = kwargs.get('credentials')
-           if specified_credentials is None:
-               Log.info("No credentials specified, using KaggleKernelCredentials.")
-               kwargs['credentials'] = KaggleKernelCredentials(target=GcpTarget.GCS)
-               return gcs_client(*args, **kwargs)
+   from kaggle_secrets import GcpTarget
+   from kaggle_gcp import KaggleKernelCredentials
+   from google.cloud import storage
+   def monkeypatch_gcs(gcs_client, *args, **kwargs):
+       specified_credentials = kwargs.get('credentials')
+       if specified_credentials is None:
+           Log.info("No credentials specified, using KaggleKernelCredentials.")
+           kwargs['credentials'] = KaggleKernelCredentials(target=GcpTarget.GCS)
+           return gcs_client(*args, **kwargs)
 
-       gcs_client = storage.Client
-       storage.Client = lambda *args, **kwargs:  monkeypatch_gcs(gcs_client, *args, **kwargs)
+   gcs_client = storage.Client
+   storage.Client = lambda *args, **kwargs:  monkeypatch_gcs(gcs_client, *args, **kwargs)
 
 
 init()

From 8b60802f5fcdfdd30ab2e773949320391e974e7a Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@google.com>
Date: Wed, 10 Jul 2019 11:44:29 -0700
Subject: [PATCH 0678/1660] Add a unit test for default creds

---
 tests/test_gcs.py | 16 ++++++++++++++--
 1 file changed, 14 insertions(+), 2 deletions(-)

diff --git a/tests/test_gcs.py b/tests/test_gcs.py
index ff785813..6cde8e58 100644
--- a/tests/test_gcs.py
+++ b/tests/test_gcs.py
@@ -1,12 +1,14 @@
 import unittest
 
-import mock
+from unittest.mock import Mock
 
+from kaggle_gcp import KaggleKernelCredentials
+from test.support import EnvironmentVarGuard
 from google.cloud import storage
 
 def _make_credentials():
     import google.auth.credentials
-    return mock.Mock(spec=google.auth.credentials.Credentials)
+    return Mock(spec=google.auth.credentials.Credentials)
 
 class TestStorage(unittest.TestCase):
 
@@ -21,3 +23,13 @@ def test_ctr(self):
     def test_annonymous_client(self):
         anonymous = storage.Client.create_anonymous_client()
         self.assertIsNotNone(anonymous)
+
+    def test_deftault_credentials_gcs_enabled(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'GCS')
+        with env:
+            from sitecustomize import init
+            init()
+            client = storage.Client(project="xyz")
+            self.assertIsInstance(client._credentials, KaggleKernelCredentials)

From 64aa8fc9801ed39ac29e44686023a6a7ff8ab6af Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@google.com>
Date: Wed, 10 Jul 2019 13:12:21 -0700
Subject: [PATCH 0679/1660] Fix typo

---
 tests/test_gcs.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/test_gcs.py b/tests/test_gcs.py
index 6cde8e58..80f12e0f 100644
--- a/tests/test_gcs.py
+++ b/tests/test_gcs.py
@@ -24,7 +24,7 @@ def test_annonymous_client(self):
         anonymous = storage.Client.create_anonymous_client()
         self.assertIsNotNone(anonymous)
 
-    def test_deftault_credentials_gcs_enabled(self):
+    def test_default_credentials_gcs_enabled(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         env.set('KAGGLE_KERNEL_INTEGRATIONS', 'GCS')

From edfc261951bc631ccc7d1ba45d304e3782ab2748 Mon Sep 17 00:00:00 2001
From: Mathew Leonard <leonard.mat@gmail.com>
Date: Wed, 10 Jul 2019 13:59:55 -0700
Subject: [PATCH 0680/1660] Install category_encoders from GitHub

We want to use CountEncoder from category_encoders but it isn't
available from the version on PyPI. However, it has been merged into
the master branch on the GitHub repo. So, install from GitHub!

I've also included a test to make sure we can use CountEncoder.
---
 Dockerfile                      |  3 ++-
 tests/test_category_encoders.py | 16 ++++++++++++++++
 2 files changed, 18 insertions(+), 1 deletion(-)
 create mode 100644 tests/test_category_encoders.py

diff --git a/Dockerfile b/Dockerfile
index 71924b95..4fbf3573 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -346,7 +346,8 @@ RUN pip install --upgrade cython && \
     pip install fasttext && \
     apt-get install -y libhunspell-dev && pip install hunspell && \
     pip install annoy && \
-    pip install category_encoders && \
+    # Need to use CountEncoder from category_encoders before it's officially released
+    pip install git+https://github.com/scikit-learn-contrib/categorical-encoding.git && \
     # Newer version crashes (latest = 1.14.0) when running tensorflow.
     # python -c "from google.cloud import bigquery; import tensorflow". This flow is common because bigquery is imported in kaggle_gcp.py
     # which is loaded at startup.
diff --git a/tests/test_category_encoders.py b/tests/test_category_encoders.py
new file mode 100644
index 00000000..54d6024e
--- /dev/null
+++ b/tests/test_category_encoders.py
@@ -0,0 +1,16 @@
+import unittest
+
+## Need to make sure we have CountEncoder available from the category_encoders library
+class TestCategoryEncoders(unittest.TestCase):
+    def test_count_encoder(self):
+
+        from category_encoders import CountEncoder
+        import pandas as pd
+
+        encoder = CountEncoder(cols="data")
+
+        data = pd.DataFrame([1, 2, 3, 1, 4, 5, 3, 1], columns=["data"])
+
+        encoded = encoder.fit_transform(data)
+        self.assertTrue((encoded.data == [3, 1, 2, 3, 1, 1, 2, 3]).all())
+

From c34b56143ebf89207fbe4f4afc68d53d276c02c3 Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@google.com>
Date: Tue, 16 Jul 2019 15:20:28 -0700
Subject: [PATCH 0681/1660] Remove unnecessary imports. (#587)

---
 patches/sitecustomize.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index 3a90522e..fbb2f59c 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -16,9 +16,8 @@ def init():
 
 
 def init_bigquery():
-    from google.auth import credentials, environment_vars
+    from google.auth import environment_vars
     from google.cloud import bigquery
-    from google.cloud.bigquery._http import Connection
     # TODO: Update this to the correct kaggle.gcp path once we no longer inject modules
     # from the worker.
     from kaggle_gcp import get_integrations, PublicBigqueryClient, KaggleKernelCredentials

From 75bf906bbe54d6ef3d8dac7c93a8fa4a6908f4fa Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@google.com>
Date: Wed, 17 Jul 2019 15:46:03 -0700
Subject: [PATCH 0682/1660] Return gcs_client in all cases

---
 patches/sitecustomize.py |  2 +-
 tests/test_gcs.py        | 13 +++++++++++--
 2 files changed, 12 insertions(+), 3 deletions(-)

diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index fbb2f59c..a79f1ee6 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -73,7 +73,7 @@ def monkeypatch_gcs(gcs_client, *args, **kwargs):
        if specified_credentials is None:
            Log.info("No credentials specified, using KaggleKernelCredentials.")
            kwargs['credentials'] = KaggleKernelCredentials(target=GcpTarget.GCS)
-           return gcs_client(*args, **kwargs)
+       return gcs_client(*args, **kwargs)
 
    gcs_client = storage.Client
    storage.Client = lambda *args, **kwargs:  monkeypatch_gcs(gcs_client, *args, **kwargs)
diff --git a/tests/test_gcs.py b/tests/test_gcs.py
index 80f12e0f..831e2b54 100644
--- a/tests/test_gcs.py
+++ b/tests/test_gcs.py
@@ -17,10 +17,19 @@ def test_version(self):
 
     def test_ctr(self):
         credentials = _make_credentials()
-        client = storage.Client(project="xyz", credentials=credentials)
-        self.assertEqual(client.project, "xyz")
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'GCS')
+        with env:
+            from sitecustomize import init
+            init()
+            client = storage.Client(project="xyz", credentials=credentials)
+            self.assertEqual(client.project, "xyz")
+            self.assertNotIsInstance(client._credentials, KaggleKernelCredentials)
+            self.assertIsNotNone(client._credentials)
 
     def test_annonymous_client(self):
+        # TODO: the following will not work with current monkey patching.
         anonymous = storage.Client.create_anonymous_client()
         self.assertIsNotNone(anonymous)
 

From d12832728e8e4ab19326413f1f59d42c370b913a Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@google.com>
Date: Wed, 17 Jul 2019 21:17:51 -0700
Subject: [PATCH 0683/1660] Do not change storage.Client

---
 patches/sitecustomize.py | 9 +++++----
 tests/test_gcs.py        | 4 +++-
 2 files changed, 8 insertions(+), 5 deletions(-)

diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index a79f1ee6..fcf6cc64 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -68,15 +68,16 @@ def init_gcs():
    from kaggle_secrets import GcpTarget
    from kaggle_gcp import KaggleKernelCredentials
    from google.cloud import storage
-   def monkeypatch_gcs(gcs_client, *args, **kwargs):
+
+   gcs_client_init = storage.Client.__init__
+   def monkeypatch_gcs(self, *args, **kwargs):
        specified_credentials = kwargs.get('credentials')
        if specified_credentials is None:
            Log.info("No credentials specified, using KaggleKernelCredentials.")
            kwargs['credentials'] = KaggleKernelCredentials(target=GcpTarget.GCS)
-       return gcs_client(*args, **kwargs)
+       return gcs_client_init(self, *args, **kwargs)
 
-   gcs_client = storage.Client
-   storage.Client = lambda *args, **kwargs:  monkeypatch_gcs(gcs_client, *args, **kwargs)
+   storage.Client.__init__ = monkeypatch_gcs
 
 
 init()
diff --git a/tests/test_gcs.py b/tests/test_gcs.py
index 831e2b54..1fcce914 100644
--- a/tests/test_gcs.py
+++ b/tests/test_gcs.py
@@ -29,7 +29,9 @@ def test_ctr(self):
             self.assertIsNotNone(client._credentials)
 
     def test_annonymous_client(self):
-        # TODO: the following will not work with current monkey patching.
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'GCS')
         anonymous = storage.Client.create_anonymous_client()
         self.assertIsNotNone(anonymous)
 

From 2b56d8a5b40b2dc177a0eb10fe3c4fcc8f24f4f1 Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@google.com>
Date: Thu, 18 Jul 2019 13:55:13 -0700
Subject: [PATCH 0684/1660] Fix the test

---
 tests/test_gcs.py | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/tests/test_gcs.py b/tests/test_gcs.py
index 1fcce914..572b4ad0 100644
--- a/tests/test_gcs.py
+++ b/tests/test_gcs.py
@@ -32,8 +32,11 @@ def test_annonymous_client(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         env.set('KAGGLE_KERNEL_INTEGRATIONS', 'GCS')
-        anonymous = storage.Client.create_anonymous_client()
-        self.assertIsNotNone(anonymous)
+        with env:
+            from sitecustomize import init
+            init()
+            anonymous = storage.Client.create_anonymous_client()
+            self.assertIsNotNone(anonymous)
 
     def test_default_credentials_gcs_enabled(self):
         env = EnvironmentVarGuard()

From db3252e332216a299512f0d3db99da768b6943a4 Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@google.com>
Date: Thu, 18 Jul 2019 15:11:25 -0700
Subject: [PATCH 0685/1660] =?UTF-8?q?Monkeypatch=20bigquery=20and=20gcs=20?=
 =?UTF-8?q?at=20module=20load=20time=20to=20avoid=20always=E2=80=A6=20(#59?=
 =?UTF-8?q?0)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* Monkeypatch bigquery and gcs at module load time to avoid always loading bigquery/gcs and all its dependencies.

* Nit fixes

* Change path checking method.
---
 patches/kaggle_gcp.py    |  87 +++++++++++++++++++++++++++
 patches/sitecustomize.py | 126 +++++++++++++++------------------------
 tests/test_bigquery.py   |   8 +--
 tests/test_gcs.py        |   8 +--
 4 files changed, 141 insertions(+), 88 deletions(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index 44145078..8fa1f4c0 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -110,3 +110,90 @@ def __init__(self, *args, **kwargs):
         )
         # TODO: Remove this once https://github.com/googleapis/google-cloud-python/issues/7122 is implemented.
         self._connection = _DataProxyConnection(self)
+
+
+def init_bigquery():
+    from google.auth import environment_vars
+    from google.cloud import bigquery
+
+    is_proxy_token_set = "KAGGLE_DATA_PROXY_TOKEN" in os.environ
+    is_user_secrets_token_set = "KAGGLE_USER_SECRETS_TOKEN" in os.environ
+    if not (is_proxy_token_set or is_user_secrets_token_set):
+        return bigquery
+
+    # If this Kernel has bigquery integration on startup, preload the Kaggle Credentials
+    # object for magics to work. 
+    if get_integrations().has_bigquery():
+        from google.cloud.bigquery import magics
+        magics.context.credentials = KaggleKernelCredentials()
+
+    def monkeypatch_bq(bq_client, *args, **kwargs):
+        from kaggle_gcp import get_integrations, PublicBigqueryClient, KaggleKernelCredentials
+        specified_credentials = kwargs.get('credentials')
+        has_bigquery = get_integrations().has_bigquery()
+        # Prioritize passed in project id, but if it is missing look for env var. 
+        arg_project = kwargs.get('project')
+        explicit_project_id = arg_project or os.environ.get(environment_vars.PROJECT)
+        # This is a hack to get around the bug in google-cloud library.
+        # Remove these two lines once this is resolved:
+        # https://github.com/googleapis/google-cloud-python/issues/8108
+        if explicit_project_id:
+            Log.info(f"Explicit project set to {explicit_project_id}")
+            kwargs['project'] = explicit_project_id
+        if explicit_project_id is None and specified_credentials is None and not has_bigquery:
+            msg = "Using Kaggle's public dataset BigQuery integration."
+            Log.info(msg)
+            print(msg)
+            return PublicBigqueryClient(*args, **kwargs)
+
+        else:
+            if specified_credentials is None:
+                Log.info("No credentials specified, using KaggleKernelCredentials.")
+                kwargs['credentials'] = KaggleKernelCredentials()
+                if (not has_bigquery):
+                    Log.info("No bigquery integration found, creating client anyways.")
+                    print('Please ensure you have selected a BigQuery '
+                        'account in the Kernels Settings sidebar.')
+            return bq_client(*args, **kwargs)
+
+    # Monkey patches BigQuery client creation to use proxy or user-connected GCP account.
+    # Deprecated in favor of Kaggle.DataProxyClient().
+    # TODO: Remove this once uses have migrated to that new interface.
+    bq_client = bigquery.Client
+    bigquery.Client = lambda *args, **kwargs:  monkeypatch_bq(
+        bq_client, *args, **kwargs)
+    return bigquery
+
+def init_gcs():
+    is_user_secrets_token_set = "KAGGLE_USER_SECRETS_TOKEN" in os.environ
+    from google.cloud import storage
+    if not is_user_secrets_token_set:
+        return storage
+    
+    from kaggle_gcp import get_integrations
+    if not get_integrations().has_gcs():
+        return storage
+    
+    from kaggle_secrets import GcpTarget
+    from kaggle_gcp import KaggleKernelCredentials
+    def monkeypatch_gcs(gcs_client, *args, **kwargs):
+        specified_credentials = kwargs.get('credentials')
+        if specified_credentials is None:
+            Log.info("No credentials specified, using KaggleKernelCredentials.")
+            kwargs['credentials'] = KaggleKernelCredentials(target=GcpTarget.GCS)
+        return gcs_client(*args, **kwargs)
+
+    gcs_client = storage.Client
+    storage.Client = lambda *args, **kwargs:  monkeypatch_gcs(gcs_client, *args, **kwargs)
+    return storage
+
+def init():
+    init_bigquery()
+    init_gcs()
+
+# We need to initialize the monkeypatching of the client libraries
+# here since there is a circular dependency between our import hook version
+# google.cloud.* and kaggle_gcp. By calling init here, we guarantee
+# that regardless of the original import that caused google.cloud.* to be
+# loaded, the monkeypatching will be done.
+init()
\ No newline at end of file
diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index a79f1ee6..62affaa3 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -2,81 +2,51 @@
 
 from log import Log
 
-kaggle_proxy_token = os.getenv("KAGGLE_DATA_PROXY_TOKEN")
-kernel_integrations_var = os.getenv("KAGGLE_KERNEL_INTEGRATIONS")
-
-def init():
-    is_jwe_set = "KAGGLE_USER_SECRETS_TOKEN" in os.environ
-    if kaggle_proxy_token or is_jwe_set:
-        init_bigquery()
-    if is_jwe_set:
-        from kaggle_gcp import get_integrations
-        if get_integrations().has_gcs():
-            init_gcs()
-
-
-def init_bigquery():
-    from google.auth import environment_vars
-    from google.cloud import bigquery
-    # TODO: Update this to the correct kaggle.gcp path once we no longer inject modules
-    # from the worker.
-    from kaggle_gcp import get_integrations, PublicBigqueryClient, KaggleKernelCredentials
-
-    # If this Kernel has bigquery integration on startup, preload the Kaggle Credentials
-    # object for magics to work. 
-    if get_integrations().has_bigquery():
-        from google.cloud.bigquery import magics
-        magics.context.credentials = KaggleKernelCredentials()
-
-    def monkeypatch_bq(bq_client, *args, **kwargs):
-        specified_credentials = kwargs.get('credentials')
-        has_bigquery = get_integrations().has_bigquery()
-        # Prioritize passed in project id, but if it is missing look for env var. 
-        arg_project = kwargs.get('project')
-        explicit_project_id = arg_project or os.environ.get(environment_vars.PROJECT)
-        # This is a hack to get around the bug in google-cloud library.
-        # Remove these two lines once this is resolved:
-        # https://github.com/googleapis/google-cloud-python/issues/8108
-        if explicit_project_id:
-            Log.info(f"Explicit project set to {explicit_project_id}")
-            kwargs['project'] = explicit_project_id
-        if explicit_project_id is None and specified_credentials is None and not has_bigquery:
-            msg = "Using Kaggle's public dataset BigQuery integration."
-            Log.info(msg)
-            print(msg)
-            return PublicBigqueryClient(*args, **kwargs)
-
-        else:
-            if specified_credentials is None:
-                Log.info("No credentials specified, using KaggleKernelCredentials.")
-                kwargs['credentials'] = KaggleKernelCredentials()
-                if (not has_bigquery):
-                    Log.info("No bigquery integration found, creating client anyways.")
-                    print('Please ensure you have selected a BigQuery '
-                        'account in the Kernels Settings sidebar.')
-            return bq_client(*args, **kwargs)
-
-    # Monkey patches BigQuery client creation to use proxy or user-connected GCP account.
-    # Deprecated in favor of Kaggle.DataProxyClient().
-    # TODO: Remove this once uses have migrated to that new interface.
-    bq_client = bigquery.Client
-    bigquery.Client = lambda *args, **kwargs:  monkeypatch_bq(
-        bq_client, *args, **kwargs)
-
-
-def init_gcs():
-   from kaggle_secrets import GcpTarget
-   from kaggle_gcp import KaggleKernelCredentials
-   from google.cloud import storage
-   def monkeypatch_gcs(gcs_client, *args, **kwargs):
-       specified_credentials = kwargs.get('credentials')
-       if specified_credentials is None:
-           Log.info("No credentials specified, using KaggleKernelCredentials.")
-           kwargs['credentials'] = KaggleKernelCredentials(target=GcpTarget.GCS)
-       return gcs_client(*args, **kwargs)
-
-   gcs_client = storage.Client
-   storage.Client = lambda *args, **kwargs:  monkeypatch_gcs(gcs_client, *args, **kwargs)
-
-
-init()
+import sys
+import importlib
+import importlib.machinery
+
+class GcpModuleFinder(importlib.abc.MetaPathFinder):
+    _MODULES = ['google.cloud.bigquery', 'google.cloud.storage']
+    _KAGGLE_GCP_PATH = 'kaggle_gcp.py'
+    def __init__(self):
+        pass
+    
+    def _is_called_from_kaggle_gcp(self):
+        import inspect
+        for frame in inspect.stack():
+            if os.path.basename(frame.filename) == self._KAGGLE_GCP_PATH:
+                return True
+        return False
+
+    def find_spec(self, fullname, path, target=None):
+        if fullname in self._MODULES:
+            # If being called from kaggle_gcp, don't return our
+            # monkeypatched module to avoid circular dependency,
+            # since we call kaggle_gcp to load the module.
+            if self._is_called_from_kaggle_gcp():
+                return None
+            return importlib.machinery.ModuleSpec(fullname, GcpModuleLoader())
+
+
+class GcpModuleLoader(importlib.abc.Loader):
+    def __init__(self):
+        pass
+
+    def create_module(self, spec):
+        """Create the gcp module from the spec.
+        """
+        import kaggle_gcp
+        _LOADERS = {
+            'google.cloud.bigquery': kaggle_gcp.init_bigquery,
+            'google.cloud.storage': kaggle_gcp.init_gcs
+        }
+        monkeypatch_gcp_module = _LOADERS[spec.name]()
+        return monkeypatch_gcp_module
+
+    def exec_module(self, module):
+        pass
+
+
+if not hasattr(sys, 'frozen'):
+    sys.meta_path.insert(0, GcpModuleFinder())
diff --git a/tests/test_bigquery.py b/tests/test_bigquery.py
index 65f11841..a71f9545 100644
--- a/tests/test_bigquery.py
+++ b/tests/test_bigquery.py
@@ -11,7 +11,7 @@
 from google.cloud import bigquery
 from google.auth.exceptions import DefaultCredentialsError
 from google.cloud.bigquery._http import Connection
-from kaggle_gcp import KaggleKernelCredentials, PublicBigqueryClient, _DataProxyConnection
+from kaggle_gcp import KaggleKernelCredentials, PublicBigqueryClient, _DataProxyConnection, init_bigquery
 import kaggle_secrets
 
 
@@ -149,8 +149,7 @@ def test_magics_with_connected_account_default_credentials(self):
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         env.set('KAGGLE_KERNEL_INTEGRATIONS', 'BIGQUERY')
         with env:
-            import sitecustomize
-            sitecustomize.init()
+            init_bigquery()
             from google.cloud.bigquery import magics
             self.assertEqual(type(magics.context._credentials), KaggleKernelCredentials)
             magics.context.credentials = None
@@ -159,7 +158,6 @@ def test_magics_without_connected_account(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         with env:
-            import sitecustomize
-            sitecustomize.init()
+            init_bigquery()
             from google.cloud.bigquery import magics
             self.assertIsNone(magics.context._credentials)
diff --git a/tests/test_gcs.py b/tests/test_gcs.py
index 831e2b54..90a5b06d 100644
--- a/tests/test_gcs.py
+++ b/tests/test_gcs.py
@@ -2,7 +2,7 @@
 
 from unittest.mock import Mock
 
-from kaggle_gcp import KaggleKernelCredentials
+from kaggle_gcp import KaggleKernelCredentials, init_gcs
 from test.support import EnvironmentVarGuard
 from google.cloud import storage
 
@@ -21,8 +21,7 @@ def test_ctr(self):
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         env.set('KAGGLE_KERNEL_INTEGRATIONS', 'GCS')
         with env:
-            from sitecustomize import init
-            init()
+            init_gcs()
             client = storage.Client(project="xyz", credentials=credentials)
             self.assertEqual(client.project, "xyz")
             self.assertNotIsInstance(client._credentials, KaggleKernelCredentials)
@@ -38,7 +37,6 @@ def test_default_credentials_gcs_enabled(self):
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         env.set('KAGGLE_KERNEL_INTEGRATIONS', 'GCS')
         with env:
-            from sitecustomize import init
-            init()
+            init_gcs()
             client = storage.Client(project="xyz")
             self.assertIsInstance(client._credentials, KaggleKernelCredentials)

From bfaf673a5d3108e08aff29ffc498bd31d27ae6f5 Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@google.com>
Date: Thu, 18 Jul 2019 16:42:15 -0700
Subject: [PATCH 0686/1660] Fix invalid char

---
 patches/kaggle_gcp.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index 838767e9..679ae8d4 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -177,7 +177,7 @@ def init_gcs():
     from kaggle_secrets import GcpTarget
     from kaggle_gcp import KaggleKernelCredentials
     gcs_client_init = storage.Client.__init__
-    def monkeypatch_gcs(self, *args, **kwargs):
+    def monkeypatch_gcs(self, *args, **kwargs):
         specified_credentials = kwargs.get('credentials')
         if specified_credentials is None:
             Log.info("No credentials specified, using KaggleKernelCredentials.")

From dfcd667d0f164b4916976db6a221e7d24d7955f2 Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@google.com>
Date: Thu, 18 Jul 2019 16:45:21 -0700
Subject: [PATCH 0687/1660] Fix invalid char

---
 patches/kaggle_gcp.py | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index 679ae8d4..c2ed18c2 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -178,13 +178,13 @@ def init_gcs():
     from kaggle_gcp import KaggleKernelCredentials
     gcs_client_init = storage.Client.__init__
     def monkeypatch_gcs(self, *args, **kwargs):
-        specified_credentials = kwargs.get('credentials')
-        if specified_credentials is None:
-            Log.info("No credentials specified, using KaggleKernelCredentials.")
-            kwargs['credentials'] = KaggleKernelCredentials(target=GcpTarget.GCS)
-        return gcs_client_init(self, *args, **kwargs)
+        specified_credentials = kwargs.get('credentials')
+        if specified_credentials is None:
+            Log.info("No credentials specified, using KaggleKernelCredentials.")
+            kwargs['credentials'] = KaggleKernelCredentials(target=GcpTarget.GCS)
+        return gcs_client_init(self, *args, **kwargs)
 
-    storage.Client.__init__ = monkeypatch_gcs
+    storage.Client.__init__ = monkeypatch_gcs
     return storage
 
 def init():

From 582da62ce36615897dbab7568a3bf2a4c63e26fc Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@google.com>
Date: Thu, 18 Jul 2019 17:53:55 -0700
Subject: [PATCH 0688/1660] Fix test

---
 tests/test_gcs.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/tests/test_gcs.py b/tests/test_gcs.py
index 21e4297a..bd7359a4 100644
--- a/tests/test_gcs.py
+++ b/tests/test_gcs.py
@@ -32,8 +32,7 @@ def test_annonymous_client(self):
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         env.set('KAGGLE_KERNEL_INTEGRATIONS', 'GCS')
         with env:
-            from sitecustomize import init
-            init()
+            init_gcs()
             anonymous = storage.Client.create_anonymous_client()
             self.assertIsNotNone(anonymous)
 

From cf5a5de5a0f9fcca671ed888902ab87a825800a2 Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@google.com>
Date: Tue, 30 Jul 2019 13:18:05 -0400
Subject: [PATCH 0689/1660] Add google-cloud-automl

---
 Dockerfile           | 1 +
 tests/test_automl.py | 9 +++++++++
 2 files changed, 10 insertions(+)
 create mode 100644 tests/test_automl.py

diff --git a/Dockerfile b/Dockerfile
index 4fbf3573..15619143 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -348,6 +348,7 @@ RUN pip install --upgrade cython && \
     pip install annoy && \
     # Need to use CountEncoder from category_encoders before it's officially released
     pip install git+https://github.com/scikit-learn-contrib/categorical-encoding.git && \
+    pip install google-cloud-automl && \
     # Newer version crashes (latest = 1.14.0) when running tensorflow.
     # python -c "from google.cloud import bigquery; import tensorflow". This flow is common because bigquery is imported in kaggle_gcp.py
     # which is loaded at startup.
diff --git a/tests/test_automl.py b/tests/test_automl.py
new file mode 100644
index 00000000..2e1e414f
--- /dev/null
+++ b/tests/test_automl.py
@@ -0,0 +1,9 @@
+import unittest
+
+from google.cloud import automl_v1beta1 as automl
+
+class TestAutoMl(unittest.TestCase):
+
+    def test_version(self):
+        self.assertIsNotNone(automl.auto_ml_client._GAPIC_LIBRARY_VERSION)
+

From a87f7bd57eb105d03851ba3dc6cc361ed4dc54be Mon Sep 17 00:00:00 2001
From: Julio Perez <juperez999@hotmail.com>
Date: Tue, 30 Jul 2019 17:25:24 -0700
Subject: [PATCH 0690/1660] rapids support to kaggle cudf cuml

---
 gpu.Dockerfile     |  4 ++++
 test               |  2 +-
 tests/test_cudf.py | 42 ++++++++++++++++++++++++++++++++++++++++++
 tests/test_cuml.py | 28 ++++++++++++++++++++++++++++
 4 files changed, 75 insertions(+), 1 deletion(-)
 create mode 100644 tests/test_cudf.py
 create mode 100644 tests/test_cuml.py

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index cd8051c3..0daa1c20 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -63,5 +63,9 @@ RUN pip install pycuda && \
     pip install pynvrtc && \
     /tmp/clean-layer.sh
 
+RUN conda install -c defaults -c nvidia -c rapidsai -c pytorch -c numba -c conda-forge numba=0.44.1 cudf=0.8 cuml=0.8 pandas python=3.6 cudatoolkit=10.0 &&\
+    conda clean -a -y &&\
+    /tmp/clean-layer.sh
+
 # Re-add TensorBoard Jupyter extension patch
 ADD patches/tensorboard/notebook.py /opt/conda/lib/python3.6/site-packages/tensorboard/notebook.py
diff --git a/test b/test
index 99453605..85ac2443 100755
--- a/test
+++ b/test
@@ -28,7 +28,7 @@ while :; do
             ;;
         -g|--gpu)
             IMAGE_TAG='kaggle/python-gpu-build'
-            ADDITONAL_OPTS='-v /tmp/empty_dir:/usr/local/cuda/lib64/stubs:ro'
+            ADDITONAL_OPTS='-v /tmp/empty_dir:/usr/local/cuda/lib64/stubs:ro --runtime nvidia'
             ;;
         -i|--image)
             if [[ -z $2 ]]; then
diff --git a/tests/test_cudf.py b/tests/test_cudf.py
new file mode 100644
index 00000000..ff658151
--- /dev/null
+++ b/tests/test_cudf.py
@@ -0,0 +1,42 @@
+import unittest
+import cudf as gd
+import pandas as pd
+
+from common import gpu_test
+
+# For full unit tests of rapids cudf, please run the following commands after building the docker.
+# docker run --runtime nvidia --rm -it kaggle/python-gpu-build /bin/bash
+# export LD_LIBRARY_PATH=/usr/local/cuda/lib64
+# python -c "import cudf as gd"
+# conda uninstall --yes pytest && pip install -U pytest
+# cd /opt/conda/lib/python3.6/site-packages/cudf/tests
+# pytest -v --ignore=test_sparse_df.py --ignore=test_orc.py
+
+class TestCudf(unittest.TestCase):
+ 
+    @gpu_test   
+    def test_read_csv(self):
+        cols = ['label'] + ['pixel%d'%i for i in range(784)]
+        dtypes = ['int32' for i in cols]
+        path = "/input/tests/data/train.csv"
+        data_gd = gd.read_csv(path,names=cols,dtype=dtypes,skiprows=1)
+        data_pd = pd.read_csv(path)
+        self.assertEqual(100, len(data_gd.index))
+        for col in data_gd.columns:
+            col_equal = data_pd[col].values == data_gd[col].to_pandas().values
+            self.assertEqual(True, min(col_equal))
+
+    @gpu_test
+    def test_groupby(self):
+        cols = ['label'] + ['pixel%d'%i for i in range(784)]
+        dtypes = ['int32' for i in cols]
+        path = "/input/tests/data/train.csv"
+        data_gd = gd.read_csv(path,names=cols,dtype=dtypes,skiprows=1)
+
+        dg = data_gd.groupby('pixel0').agg({'label':['mean','max','min']})
+        dg.columns = ['%s_label'%s for s in ['mean','max','min']]
+        dg = dg.reset_index()
+        dg = dg.to_pandas() 
+        self.assertEqual(4.22, dg.mean_label.values[0])
+        self.assertEqual(9, dg.max_label.values[0])
+        self.assertEqual(0, dg.min_label.values[0])
diff --git a/tests/test_cuml.py b/tests/test_cuml.py
new file mode 100644
index 00000000..1db73eb2
--- /dev/null
+++ b/tests/test_cuml.py
@@ -0,0 +1,28 @@
+import unittest
+
+from sklearn import datasets
+from cuml import LinearRegression as cuLinearRegression
+import cudf as gd
+import pandas as pd
+
+from common import gpu_test
+
+# For full unit tests of rapids cuml, please run the following commands after building the docker.
+# docker run --runtime nvidia --rm -it kaggle/python-gpu-build /bin/bash
+# export LD_LIBRARY_PATH=/usr/local/cuda/lib64
+# conda uninstall --yes pytest && pip install -U pytest
+# cd /opt/conda/lib/python3.6/site-packages/cuml/test
+# pytest -v
+
+class TestCuml(unittest.TestCase):
+
+    @gpu_test
+    def test_linearn_classifier(self):
+        boston = datasets.load_boston()
+        X, y = boston.data, boston.target
+        df = pd.DataFrame(X,columns=['fea%d'%i for i in range(X.shape[1])])
+        gdf = gd.from_pandas(df)
+        lr = cuLinearRegression(fit_intercept=True,
+                               normalize=False,
+                               algorithm='svd')
+        lr.fit(gdf,y)

From 3ae35b0449d94f75039925f69f3ef05f3a78185e Mon Sep 17 00:00:00 2001
From: DJ Sterling <dster@google.com>
Date: Tue, 30 Jul 2019 21:27:31 -0600
Subject: [PATCH 0691/1660] Fix 'annoy' build and 'geopandas' test

---
 Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 4fbf3573..cd49208e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -41,7 +41,7 @@ RUN pip install seaborn python-dateutil dask && \
     libilmbase12 libjbig0 libjbig2dec0 libjpeg62-turbo liblcms2-2 liblqr-1-0 libltdl7 libmagickcore-6.q16-3 \
     libmagickcore-6.q16-3-extra libmagickwand-6.q16-3 libnetpbm10 libopenexr22 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 \
     libpaper-utils libpaper1 libpixman-1-0 libpng16-16 librsvg2-2 librsvg2-common libthai-data libthai0 libtiff5 libwmf0.2-7 \
-    libxcb-render0 libxcb-shm0 netpbm poppler-data p7zip-full && \
+    libxcb-render0 libxcb-shm0 netpbm poppler-data p7zip-full python3-rtree && \
     cd /usr/local/src && \
     wget --no-verbose https://imagemagick.org/download/ImageMagick.tar.gz && \
     tar xzf ImageMagick.tar.gz && cd `ls -d ImageMagick-*` && pwd && ls -al && ./configure && \
@@ -345,7 +345,7 @@ RUN pip install --upgrade cython && \
     pip install ktext && \
     pip install fasttext && \
     apt-get install -y libhunspell-dev && pip install hunspell && \
-    pip install annoy && \
+    pip install annoy==1.15.2 && \
     # Need to use CountEncoder from category_encoders before it's officially released
     pip install git+https://github.com/scikit-learn-contrib/categorical-encoding.git && \
     # Newer version crashes (latest = 1.14.0) when running tensorflow.

From 4f1ae49ce6b91299fcf46b3227a2b9d87f06c6c6 Mon Sep 17 00:00:00 2001
From: DJ Sterling <dster@google.com>
Date: Wed, 31 Jul 2019 10:55:35 -0600
Subject: [PATCH 0692/1660] add bug ref

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index cd49208e..73526b8e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -345,6 +345,7 @@ RUN pip install --upgrade cython && \
     pip install ktext && \
     pip install fasttext && \
     apt-get install -y libhunspell-dev && pip install hunspell && \
+    # b/138723119: annoy's latest version 1.16 was failing
     pip install annoy==1.15.2 && \
     # Need to use CountEncoder from category_encoders before it's officially released
     pip install git+https://github.com/scikit-learn-contrib/categorical-encoding.git && \

From 43662c129e4fde021740963522e5b1a5de1ca585 Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@google.com>
Date: Wed, 31 Jul 2019 19:16:27 -0400
Subject: [PATCH 0693/1660] Add gcloud SDK to docker-python

---
 Dockerfile           |  8 ++++++++
 tests/test_gcloud.py | 15 +++++++++++++++
 2 files changed, 23 insertions(+)
 create mode 100644 tests/test_gcloud.py

diff --git a/Dockerfile b/Dockerfile
index 2a088b91..4f7ff13e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -529,6 +529,14 @@ RUN pip install --upgrade dask && \
     mkdir -p /etc/ipython/ && echo "c = get_config(); c.IPKernelApp.matplotlib = 'inline'" > /etc/ipython/ipython_config.py && \
     /tmp/clean-layer.sh
 
+# gcloud SDK https://cloud.google.com/sdk/docs/quickstart-debian-ubuntu
+RUN echo "deb [signed-by=/usr/share/keyrings/cloud.google.gpg] http://packages.cloud.google.com/apt cloud-sdk main" \
+    | tee -a /etc/apt/sources.list.d/google-cloud-sdk.list && \
+    curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | \
+    apt-key --keyring /usr/share/keyrings/cloud.google.gpg add - && \
+    apt-get update -y && apt-get install google-cloud-sdk -y && \
+    /tmp/clean-layer.sh
+
 # Add BigQuery client proxy settings
 ENV PYTHONUSERBASE "/root/.local"
 ADD patches/kaggle_gcp.py /root/.local/lib/python3.6/site-packages/kaggle_gcp.py
diff --git a/tests/test_gcloud.py b/tests/test_gcloud.py
new file mode 100644
index 00000000..4396be7a
--- /dev/null
+++ b/tests/test_gcloud.py
@@ -0,0 +1,15 @@
+import os
+import subprocess
+import unittest
+
+class TestGcloud(unittest.TestCase):
+    def test_version(self):
+        result = subprocess.run([
+                'gcloud',
+                '--version',
+            ],
+            stdout=subprocess.PIPE,
+        )
+
+        self.assertTrue(result.returncode == 0)
+        self.assertTrue(b'Google Cloud SDK' in result.stdout)

From d2a38d514648900f701650a5996af491c366f3cb Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@google.com>
Date: Thu, 1 Aug 2019 11:01:56 -0700
Subject: [PATCH 0694/1660] =?UTF-8?q?Add=20message=20to=20user=20when=20th?=
 =?UTF-8?q?ey=20use=20private=20bigquery=20without=20project=20id=E2=80=A6?=
 =?UTF-8?q?=20(#591)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* Add message to user when they use private bigquery without project id which will cause a DefaultCredentialsError.

* Avoid nested monkeypatching.
---
 patches/kaggle_gcp.py        | 16 ++++++++++++----
 tests/test_bigquery_proxy.py | 11 ++++++++++-
 tests/test_gcs.py            | 10 ++++++++++
 3 files changed, 32 insertions(+), 5 deletions(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index c2ed18c2..2fccd228 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -1,4 +1,5 @@
 import os
+import inspect
 from google.auth import credentials
 from google.auth.exceptions import RefreshError
 from google.cloud import bigquery
@@ -111,6 +112,8 @@ def __init__(self, *args, **kwargs):
         # TODO: Remove this once https://github.com/googleapis/google-cloud-python/issues/7122 is implemented.
         self._connection = _DataProxyConnection(self)
 
+def has_been_monkeypatched(method):
+    return "kaggle_gcp" in inspect.getsourcefile(method)
 
 def init_bigquery():
     from google.auth import environment_vars
@@ -145,7 +148,6 @@ def monkeypatch_bq(bq_client, *args, **kwargs):
             Log.info(msg)
             print(msg)
             return PublicBigqueryClient(*args, **kwargs)
-
         else:
             if specified_credentials is None:
                 Log.info("No credentials specified, using KaggleKernelCredentials.")
@@ -154,14 +156,19 @@ def monkeypatch_bq(bq_client, *args, **kwargs):
                     Log.info("No bigquery integration found, creating client anyways.")
                     print('Please ensure you have selected a BigQuery '
                         'account in the Kernels Settings sidebar.')
+            if explicit_project_id is None:
+                Log.info("No project specified while using the unmodified client.")
+                print('Please ensure you specify a project id when creating the client'
+                    ' in order to use your BigQuery account.')
             return bq_client(*args, **kwargs)
 
     # Monkey patches BigQuery client creation to use proxy or user-connected GCP account.
     # Deprecated in favor of Kaggle.DataProxyClient().
     # TODO: Remove this once uses have migrated to that new interface.
     bq_client = bigquery.Client
-    bigquery.Client = lambda *args, **kwargs:  monkeypatch_bq(
-        bq_client, *args, **kwargs)
+    if (not has_been_monkeypatched(bigquery.Client)):
+        bigquery.Client = lambda *args, **kwargs:  monkeypatch_bq(
+            bq_client, *args, **kwargs)
     return bigquery
 
 def init_gcs():
@@ -184,7 +191,8 @@ def monkeypatch_gcs(self, *args, **kwargs):
             kwargs['credentials'] = KaggleKernelCredentials(target=GcpTarget.GCS)
         return gcs_client_init(self, *args, **kwargs)
 
-    storage.Client.__init__ = monkeypatch_gcs
+    if (not has_been_monkeypatched(storage.Client.__init__)):
+        storage.Client.__init__ = monkeypatch_gcs
     return storage
 
 def init():
diff --git a/tests/test_bigquery_proxy.py b/tests/test_bigquery_proxy.py
index b949faf2..0036c912 100644
--- a/tests/test_bigquery_proxy.py
+++ b/tests/test_bigquery_proxy.py
@@ -11,7 +11,7 @@
 from google.cloud import bigquery
 from google.auth.exceptions import DefaultCredentialsError
 from google.cloud.bigquery._http import Connection
-from kaggle_gcp import KaggleKernelCredentials, PublicBigqueryClient
+from kaggle_gcp import KaggleKernelCredentials, PublicBigqueryClient, init_bigquery
 import kaggle_secrets
 
 
@@ -67,6 +67,15 @@ def test_proxy_no_project(self):
         with env:
             client = bigquery.Client()
             self._test_proxy(client)
+    
+    def test_monkeypatching_idempotent(self):
+        env = EnvironmentVarGuard()
+        env.unset('KAGGLE_USER_SECRETS_TOKEN')
+        with env:
+            client1 = bigquery.Client
+            init_bigquery()
+            client2 = bigquery.Client
+            self.assertEqual(client1, client2)
 
     def test_proxy_with_kwargs(self):
         env = EnvironmentVarGuard()
diff --git a/tests/test_gcs.py b/tests/test_gcs.py
index bd7359a4..c6b2c45e 100644
--- a/tests/test_gcs.py
+++ b/tests/test_gcs.py
@@ -44,3 +44,13 @@ def test_default_credentials_gcs_enabled(self):
             init_gcs()
             client = storage.Client(project="xyz")
             self.assertIsInstance(client._credentials, KaggleKernelCredentials)
+    
+    def test_monkeypatching_idempotent(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'GCS')
+        with env:
+            client1 = storage.Client.__init__
+            init_gcs()
+            client2 = storage.Client.__init__
+            self.assertEqual(client1, client2)

From abf2e82f4c60549ec055c553b524fcbcf1074843 Mon Sep 17 00:00:00 2001
From: Alexis Cook <alexis.cook@gmail.com>
Date: Sun, 11 Aug 2019 16:14:54 -0500
Subject: [PATCH 0695/1660] geopandas - for spatial join

---
 Dockerfile              | 5 +++++
 tests/test_geopandas.py | 8 ++++++++
 2 files changed, 13 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 4f7ff13e..76a3b394 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -554,3 +554,8 @@ ADD patches/tensorboard/notebook.py /opt/conda/lib/python3.6/site-packages/tenso
 
 # Set backend for matplotlib
 ENV MPLBACKEND "agg"
+
+# geospatial learn course
+RUN pip install rtree && \
+    pip install osmnx && \
+    apt-get -y install libspatialindex-dev
\ No newline at end of file
diff --git a/tests/test_geopandas.py b/tests/test_geopandas.py
index 10603fa0..e2bb4583 100644
--- a/tests/test_geopandas.py
+++ b/tests/test_geopandas.py
@@ -6,3 +6,11 @@ class TestGeopandas(unittest.TestCase):
     def test_read(self):
         df = geopandas.read_file(geopandas.datasets.get_path('nybb'))
         self.assertTrue(df.size > 1)
+
+    def test_spatial_join(self):
+        cities = geopandas.read_file(geopandas.datasets.get_path('naturalearth_cities'))
+        world = geopandas.read_file(geopandas.datasets.get_path('naturalearth_lowres'))
+        countries = world[['geometry', 'name']]
+        countries = countries.rename(columns={'name':'country'})
+        cities_with_country = geopandas.sjoin(cities, countries, how="inner", op='intersects')
+        self.assertTrue(cities_with_country.size > 1)
\ No newline at end of file

From add8678c38225e53f345489c778c708517ca6e94 Mon Sep 17 00:00:00 2001
From: Jonathan Larkin <jlarkin@columbia-imc.org>
Date: Tue, 13 Aug 2019 12:22:57 +0000
Subject: [PATCH 0696/1660] Add qgrid and bqplot to Dockerfile; add tests for
 both

---
 tests/qgrid.py       | 15 +++++++++++++++
 tests/test_bqplot.py | 14 ++++++++++++++
 2 files changed, 29 insertions(+)
 create mode 100644 tests/qgrid.py
 create mode 100644 tests/test_bqplot.py

diff --git a/tests/qgrid.py b/tests/qgrid.py
new file mode 100644
index 00000000..c2af74ce
--- /dev/null
+++ b/tests/qgrid.py
@@ -0,0 +1,15 @@
+import unittest
+import pandas as pd
+from qgrid import QgridWidget
+
+class TestQgrid(unittest.TestCase):
+    def test_nans():
+        df = pd.DataFrame([(pd.Timestamp('2017-02-02'), np.nan),
+                           (4, 2),
+                           ('foo', 'bar')])
+        view = QgridWidget(df=df)
+        view._handle_qgrid_msg_helper({
+            'type': 'change_sort',
+            'sort_field': 1,
+            'sort_ascending': True
+        })
diff --git a/tests/test_bqplot.py b/tests/test_bqplot.py
new file mode 100644
index 00000000..d3ceb2d9
--- /dev/null
+++ b/tests/test_bqplot.py
@@ -0,0 +1,14 @@
+import unittest
+import numpy as np
+import bqplot.pyplot as plt
+
+class TestBqplot(unittest.TestCase):
+    def test_figure(self):
+        size = 100
+        scale = 100.0
+        np.random.seed(0)
+        x_data = np.arange(size)
+        y_data = np.cumsum(np.random.randn(size)  * scale)
+        fig = plt.figure(title='First Example')
+        plt.plot(y_data)
+        fig.save_png()

From b078b454d7e321b9a1ff775a618ed0ffa42cb1f4 Mon Sep 17 00:00:00 2001
From: Jonathan Larkin <jlarkin@columbia-imc.org>
Date: Tue, 13 Aug 2019 12:25:17 +0000
Subject: [PATCH 0697/1660] Add the forgotten && ;-)

---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 4f7ff13e..d204fc67 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -492,6 +492,8 @@ RUN pip install flashtext && \
     pip install plotly_express && \
     pip install albumentations && \
     pip install pytorch-ignite && \
+    pip install qgrid && \
+    pip install bqplot &&
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages

From bc6b2d1a85cf83b9028aafc984a89b925d7a83d8 Mon Sep 17 00:00:00 2001
From: Jonathan Larkin <jlarkin@columbia-imc.org>
Date: Tue, 13 Aug 2019 12:26:25 +0000
Subject: [PATCH 0698/1660] Add forgotten \  :-"

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index d204fc67..a2d0fb5c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -493,7 +493,7 @@ RUN pip install flashtext && \
     pip install albumentations && \
     pip install pytorch-ignite && \
     pip install qgrid && \
-    pip install bqplot &&
+    pip install bqplot && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages

From 8e89da178224ea1d4288c1155a2c7b5570c4175e Mon Sep 17 00:00:00 2001
From: Alexis Cook <alexis.cook@gmail.com>
Date: Sun, 18 Aug 2019 22:35:59 -0500
Subject: [PATCH 0699/1660] move to line 494

---
 Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 76a3b394..82a4f070 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -491,6 +491,7 @@ RUN pip install flashtext && \
     pip install chainercv && \
     pip install plotly_express && \
     pip install albumentations && \
+    pip install rtree && \
     pip install pytorch-ignite && \
     /tmp/clean-layer.sh
 
@@ -556,6 +557,5 @@ ADD patches/tensorboard/notebook.py /opt/conda/lib/python3.6/site-packages/tenso
 ENV MPLBACKEND "agg"
 
 # geospatial learn course
-RUN pip install rtree && \
-    pip install osmnx && \
+RUN pip install osmnx && \
     apt-get -y install libspatialindex-dev
\ No newline at end of file

From 4b8a4cb9f4f06f9364b9c06c746410abd1c8a24c Mon Sep 17 00:00:00 2001
From: Alexis Cook <alexis.cook@gmail.com>
Date: Mon, 19 Aug 2019 15:19:45 -0500
Subject: [PATCH 0700/1660] move lines up

---
 Dockerfile | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 82a4f070..ddb0b567 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -492,6 +492,8 @@ RUN pip install flashtext && \
     pip install plotly_express && \
     pip install albumentations && \
     pip install rtree && \
+    pip install osmnx && \
+    apt-get -y install libspatialindex-dev && \
     pip install pytorch-ignite && \
     /tmp/clean-layer.sh
 
@@ -555,7 +557,3 @@ ADD patches/tensorboard/notebook.py /opt/conda/lib/python3.6/site-packages/tenso
 
 # Set backend for matplotlib
 ENV MPLBACKEND "agg"
-
-# geospatial learn course
-RUN pip install osmnx && \
-    apt-get -y install libspatialindex-dev
\ No newline at end of file

From f01e0195b1bfa6d91dfb71b99b6197ea9da96aa1 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 29 Aug 2019 10:11:38 -0700
Subject: [PATCH 0701/1660] TF is already the default backend for keras

---
 Dockerfile | 11 -----------
 1 file changed, 11 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 4437e444..a99353d2 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -148,17 +148,6 @@ RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
     wget --no-verbose --no-check-certificate -i latest -O h2o.zip && rm latest && \
     unzip h2o.zip && rm h2o.zip && cp h2o-*/h2o.jar . && \
     pip install `find . -name "*whl"` && \
-    # Keras setup
-    # Keras likes to add a config file in a custom directory when it's
-    # first imported. This doesn't work with our read-only filesystem, so we
-    # have it done now
-    python -c "from keras.models import Sequential"  && \
-    # Switch to TF backend
-    sed -i 's/theano/tensorflow/' /root/.keras/keras.json  && \
-    # Re-run it to flush any more disk writes
-    python -c "from keras.models import Sequential; from keras import backend; print(backend._BACKEND)" && \
-    # Keras reverts to /tmp from ~ when it detects a read-only file system
-    mkdir -p /tmp/.keras && cp /root/.keras/keras.json /tmp/.keras && \
     /tmp/clean-layer.sh
 
 # b/128333086: Set PROJ_LIB to points to the proj4 cartographic library.

From 48357256a441476ed862aac3cd54e58d7f64da07 Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@google.com>
Date: Tue, 3 Sep 2019 12:57:53 -0600
Subject: [PATCH 0702/1660] Pin pytorch/audio to the last good commit to work
 around current broken build

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index a99353d2..ce5b7e17 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -189,9 +189,10 @@ RUN pip install scipy && \
     export CFLAGS="-std=c99" && \
     conda install -y pytorch-cpu torchvision-cpu -c pytorch && \
     # PyTorch Audio
+    # TODO: remove pinning to a git commit hash when issue https://github.com/pytorch/audio/issues/262 is resolved.
     apt-get install -y sox libsox-dev libsox-fmt-all && \
     pip install cffi && \
-    pip install git+git://github.com/pytorch/audio.git && \
+    pip install git+git://github.com/pytorch/audio.git@8528ac78cd0522c37216b18ef7ec1822d126d633 && \
     /tmp/clean-layer.sh
 
 # vtk with dependencies

From 7ef4a5e3b75b5c2f70b44fcf70d632291c50e314 Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@google.com>
Date: Wed, 4 Sep 2019 08:52:19 -0600
Subject: [PATCH 0703/1660] Revert pinning pytorch/audio now that the build
 problems have been fixed

---
 Dockerfile | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index ce5b7e17..a99353d2 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -189,10 +189,9 @@ RUN pip install scipy && \
     export CFLAGS="-std=c99" && \
     conda install -y pytorch-cpu torchvision-cpu -c pytorch && \
     # PyTorch Audio
-    # TODO: remove pinning to a git commit hash when issue https://github.com/pytorch/audio/issues/262 is resolved.
     apt-get install -y sox libsox-dev libsox-fmt-all && \
     pip install cffi && \
-    pip install git+git://github.com/pytorch/audio.git@8528ac78cd0522c37216b18ef7ec1822d126d633 && \
+    pip install git+git://github.com/pytorch/audio.git && \
     /tmp/clean-layer.sh
 
 # vtk with dependencies

From 62721ddcd69baf05f79a046f890a549e8fbfa4d4 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 4 Sep 2019 10:40:12 -0700
Subject: [PATCH 0704/1660] add missing allennlp dependency

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index ce5b7e17..5cd31cd7 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -433,7 +433,7 @@ RUN pip install bcolz && \
 RUN pip install jsonnet overrides tensorboardX && \
     pip install flask>=1.0.2 flask-cors>=3.0.7 gevent>=1.3.6 && \
     pip install unidecode parsimonious>=0.8.0 sqlparse>=0.2.4 word2number>=1.1 && \
-    pip install pytorch-pretrained-bert>=0.6.0 jsonpickle && \
+    pip install pytorch-pretrained-bert>=0.6.0 pytorch-transformers==1.1.0 jsonpickle && \
     pip install requests>=2.18 editdistance conllu==0.11 && \
     pip install --no-dependencies allennlp && \
     /tmp/clean-layer.sh

From 23272a72249033f6d70b5188dcb50f6a6889589c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 4 Sep 2019 10:51:40 -0700
Subject: [PATCH 0705/1660] add conllu dependency

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 5cd31cd7..3adc78cf 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -435,6 +435,7 @@ RUN pip install jsonnet overrides tensorboardX && \
     pip install unidecode parsimonious>=0.8.0 sqlparse>=0.2.4 word2number>=1.1 && \
     pip install pytorch-pretrained-bert>=0.6.0 pytorch-transformers==1.1.0 jsonpickle && \
     pip install requests>=2.18 editdistance conllu==0.11 && \
+    pip install conllu==1.3.1 && \
     pip install --no-dependencies allennlp && \
     /tmp/clean-layer.sh
 

From 3aec6b4724bec811e0609c830e65ff6066e3872f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 4 Sep 2019 11:35:27 -0700
Subject: [PATCH 0706/1660] Keep numpy 1.16.4

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index ce5b7e17..8f5ea74e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -137,7 +137,8 @@ RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
     pip install cartopy && \
     # MXNet
     pip install mxnet && \
-    pip install --upgrade numpy && \
+    # b/140423854 v1.17 prints annoying deprecation warning messages with TensorFlow 1.14.0. Remove once we upgrade to TF 1.14.1 or 2.x
+    pip install numpy==1.16.4 && \
     pip install gluonnlp && \
     pip install gluoncv && \
     # h2o (requires java)

From 724844afb24ac9ab968f17187554f99449bb3325 Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@google.com>
Date: Thu, 5 Sep 2019 11:48:00 -0700
Subject: [PATCH 0707/1660] Add get_secret() api to kaggle_secrets. (#608)

* Add get_secret() api to kaggle_secrets.

* Adds null/empty label check
---
 patches/kaggle_secrets.py  | 29 +++++++++++++++++++++++++++--
 tests/test_user_secrets.py | 33 +++++++++++++++++++++++++++++++--
 2 files changed, 58 insertions(+), 4 deletions(-)

diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index d2fc0d9f..cdea2ab7 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -26,6 +26,10 @@ class CredentialError(Exception):
 class BackendError(Exception):
     pass
 
+
+class ValidationError(Exception):
+    pass
+
 @unique
 class GcpTarget(Enum):
     """Enum class to store GCP targets."""
@@ -47,6 +51,7 @@ def service(self):
 
 class UserSecretsClient():
     GET_USER_SECRET_ENDPOINT = '/requests/GetUserSecretRequest'
+    GET_USER_SECRET_BY_LABEL_ENDPOINT = '/requests/GetUserSecretByLabelRequest'
     BIGQUERY_TARGET_VALUE = 1
 
     def __init__(self):
@@ -60,8 +65,8 @@ def __init__(self):
                 f'but none found in environment variable {_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME}')
         self.headers = {'Content-type': 'application/json'}
 
-    def _make_post_request(self, data: dict) -> dict:
-        url = f'{self.url_base}{self.GET_USER_SECRET_ENDPOINT}'
+    def _make_post_request(self, data: dict, endpoint: str = GET_USER_SECRET_ENDPOINT) -> dict:
+        url = f'{self.url_base}{endpoint}'
         request_body = dict(data)
         request_body['JWE'] = self.jwt_token
         req = urllib.request.Request(url, headers=self.headers, data=bytes(
@@ -88,6 +93,26 @@ def _make_post_request(self, data: dict) -> dict:
                     ' Please ensure you have access to the resource.') from e
             raise BackendError('Unexpected response from the service.') from e
 
+    def get_secret(self, label) -> str:
+        """Retrieves a user secret value by its label.
+
+        This returns the value of the secret with the given label,
+        if it attached to the current kernel.
+        Example usage:
+            client = UserSecretsClient()
+            secret = client.get_secret('my_db_password')
+        """
+        if label is None or len(label) == 0:
+            raise ValidationError("Label must be non-empty.")
+        request_body = {
+            'Label': label,
+        }
+        response_json = self._make_post_request(request_body, self.GET_USER_SECRET_BY_LABEL_ENDPOINT)
+        if 'secret' not in response_json:
+            raise BackendError(
+                f'Unexpected response from the service. Response: {response_json}')
+        return response_json['secret']
+
     def get_bigquery_access_token(self) -> Tuple[str, Optional[datetime]]:
         """Retrieves BigQuery access token information from the UserSecrets service.
 
diff --git a/tests/test_user_secrets.py b/tests/test_user_secrets.py
index c418b0fc..6523f2b7 100644
--- a/tests/test_user_secrets.py
+++ b/tests/test_user_secrets.py
@@ -12,7 +12,8 @@
 from google.cloud import bigquery
 from kaggle_secrets import (_KAGGLE_URL_BASE_ENV_VAR_NAME,
                             _KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME,
-                            CredentialError, GcpTarget, UserSecretsClient, BackendError)
+                            CredentialError, GcpTarget, UserSecretsClient,
+                            BackendError, ValidationError)
 
 _TEST_JWT = 'test-secrets-key'
 
@@ -37,7 +38,7 @@ def do_POST(s):
 
 
 class TestUserSecrets(unittest.TestCase):
-    SERVER_ADDRESS = urlparse(os.getenv(_KAGGLE_URL_BASE_ENV_VAR_NAME))
+    SERVER_ADDRESS = urlparse(os.getenv(_KAGGLE_URL_BASE_ENV_VAR_NAME, default="http://127.0.0.1:8001"))
 
     def _test_client(self, client_func, expected_path, expected_body, secret=None, success=True):
         _request = {}
@@ -84,6 +85,34 @@ def test_no_token_fails(self):
             with self.assertRaises(CredentialError):
                 client = UserSecretsClient()
 
+    def test_get_secret_succeeds(self):
+        secret = '12345'
+
+        def call_get_secret():
+            client = UserSecretsClient()
+            secret_response = client.get_secret("secret_label")
+            self.assertEqual(secret_response, secret)
+        self._test_client(call_get_secret,
+                          '/requests/GetUserSecretByLabelRequest', {'Label': "secret_label", 'JWE': _TEST_JWT},
+                          secret=secret)
+    
+    def test_get_secret_handles_unsuccessful(self):
+        def call_get_secret():
+            client = UserSecretsClient()
+            with self.assertRaises(BackendError):
+                secret_response = client.get_secret("secret_label")
+        self._test_client(call_get_secret,
+                          '/requests/GetUserSecretByLabelRequest', {'Label': "secret_label", 'JWE': _TEST_JWT},
+                          success=False)
+
+    def test_get_secret_validates_label(self):
+        env = EnvironmentVarGuard()
+        env.set(_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME, _TEST_JWT)
+        with env:
+            client = UserSecretsClient()
+            with self.assertRaises(ValidationError):
+                secret_response = client.get_secret("")
+                          
     @mock.patch('kaggle_secrets.datetime')
     def test_get_access_token_succeeds(self, mock_dt):
         secret = '12345'

From 05c58552e40e3a0358868d81aef654785846a8c2 Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@google.com>
Date: Mon, 9 Sep 2019 15:59:14 -0700
Subject: [PATCH 0708/1660] Add automl to Gcp enum

---
 patches/kaggle_gcp.py     | 5 +++++
 patches/kaggle_secrets.py | 4 ++++
 2 files changed, 9 insertions(+)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index 2fccd228..3c24eb13 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -40,6 +40,9 @@ def has_bigquery(self):
     def has_gcs(self):
         return GcpTarget.GCS in self.integrations
 
+    def has_automl(self):
+        return GcpTarget.AUTOML in self.integrations
+
 
 class KaggleKernelCredentials(credentials.Credentials):
     """Custom Credentials used to authenticate using the Kernel's connected OAuth account.
@@ -58,6 +61,8 @@ def refresh(self, request):
                 self.token, self.expiry = client.get_bigquery_access_token()
             elif self.target == GcpTarget.GCS:
                 self.token, self.expiry = client._get_gcs_access_token()
+            elif self.target == GcpTarget.AUTOML:
+                self.token, self.expiry = client._get_automl_access_token()
         except ConnectionError as e:
             Log.error(f"Connection error trying to refresh access token: {e}")
             print("There was a connection error trying to fetch the access token. "
diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index cdea2ab7..b76df794 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -35,6 +35,7 @@ class GcpTarget(Enum):
     """Enum class to store GCP targets."""
     BIGQUERY = (1, "BigQuery")
     GCS = (2, "Google Cloud Storage")
+    AUTOML = (3, "Cloud AutoML")
 
     def __init__(self, target, service):
         self._target = target
@@ -127,6 +128,9 @@ def get_bigquery_access_token(self) -> Tuple[str, Optional[datetime]]:
     def _get_gcs_access_token(self) -> Tuple[str, Optional[datetime]]:
         return self._get_access_token(GcpTarget.GCS)
 
+    def _get_automl_access_token(self) -> Tuple[str, Optional[datetime]]:
+        return self._get_access_token(GcpTarget.AUTOML)
+
     def _get_access_token(self, target: GcpTarget) -> Tuple[str, Optional[datetime]]:
         request_body = {
             'Target': target.target

From deb4c284759d0f4f575c73bf9d725e30f3d86f29 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 18 Sep 2019 23:53:47 +0000
Subject: [PATCH 0709/1660] Build TF 2.0 whl

---
 tensorflow-whl/Dockerfile | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 5e24c67c..09df7598 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -62,14 +62,14 @@ RUN apt-get install -y gnupg zip openjdk-8-jdk && \
 RUN cd /usr/local/src && \
     git clone https://github.com/tensorflow/tensorflow && \
     cd tensorflow && \
-    git checkout r1.14 && \
+    git checkout r2.0 && \
     pip install keras_applications --no-deps && \
     pip install keras_preprocessing --no-deps
 
 # Create a tensorflow wheel for CPU
 RUN cd /usr/local/src/tensorflow && \
     cat /dev/null | ./configure && \
-    bazel build --config=opt //tensorflow/tools/pip_package:build_pip_package && \
+    bazel build --config=opt --config=v2 //tensorflow/tools/pip_package:build_pip_package && \
     bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_cpu && \
     bazel clean
 
@@ -88,6 +88,7 @@ RUN cd /usr/local/src/tensorflow && \
     cat /dev/null | ./configure && \
     echo "/usr/local/cuda-${TF_CUDA_VERSION}/targets/x86_64-linux/lib/stubs" > /etc/ld.so.conf.d/cuda-stubs.conf && ldconfig && \
     bazel build --config=opt \
+                --config=v2 \
                 --config=cuda \
                 --cxxopt="-D_GLIBCXX_USE_CXX11_ABI=0" \
                 //tensorflow/tools/pip_package:build_pip_package && \

From bcda12bbbc784b55dcb1c26d07f657a9827944ff Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 19 Sep 2019 17:56:36 +0000
Subject: [PATCH 0710/1660] Update CHANGELOG

---
 tensorflow-whl/CHANGELOG.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index b1dd8589..4689b136 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -5,3 +5,4 @@
 1.13.1-py37: TensorFlow 1.13.1 with Python 3.7.0 and bump anaconda3 base image version to 5.3.0 
 1.13.1-py37-2: TensorFlow 1.13.1 with Python 3.7.3
 1.14.0-py36: TensorFlow 1.14.0 with Python 3.6
+2.0.0-rc1-py36: TensorFlow 2.0.0 RC1 with Python 3.6

From 663e0cd6efa8cf4e41d5db3362c4cbd743778139 Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@google.com>
Date: Fri, 20 Sep 2019 10:32:34 -0600
Subject: [PATCH 0711/1660] Add monkey patching of the automl clients

---
 patches/kaggle_gcp.py    | 65 ++++++++++++++++++++++++++++++++++++++--
 patches/sitecustomize.py |  5 ++--
 tests/test_automl.py     | 59 +++++++++++++++++++++++++++++++++++-
 3 files changed, 124 insertions(+), 5 deletions(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index 3c24eb13..2b87b469 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -130,7 +130,7 @@ def init_bigquery():
         return bigquery
 
     # If this Kernel has bigquery integration on startup, preload the Kaggle Credentials
-    # object for magics to work. 
+    # object for magics to work.
     if get_integrations().has_bigquery():
         from google.cloud.bigquery import magics
         magics.context.credentials = KaggleKernelCredentials()
@@ -139,7 +139,7 @@ def monkeypatch_bq(bq_client, *args, **kwargs):
         from kaggle_gcp import get_integrations, PublicBigqueryClient, KaggleKernelCredentials
         specified_credentials = kwargs.get('credentials')
         has_bigquery = get_integrations().has_bigquery()
-        # Prioritize passed in project id, but if it is missing look for env var. 
+        # Prioritize passed in project id, but if it is missing look for env var.
         arg_project = kwargs.get('project')
         explicit_project_id = arg_project or os.environ.get(environment_vars.PROJECT)
         # This is a hack to get around the bug in google-cloud library.
@@ -200,9 +200,70 @@ def monkeypatch_gcs(self, *args, **kwargs):
         storage.Client.__init__ = monkeypatch_gcs
     return storage
 
+def init_automl():
+    is_user_secrets_token_set = "KAGGLE_USER_SECRETS_TOKEN" in os.environ
+    from google.cloud import automl_v1beta1 as automl
+    if not is_user_secrets_token_set:
+        return automl
+
+    from kaggle_gcp import get_integrations
+    if not get_integrations().has_automl():
+        return automl
+
+    from kaggle_secrets import GcpTarget
+    from kaggle_gcp import KaggleKernelCredentials
+    kaggle_kernel_credentials = KaggleKernelCredentials(target=GcpTarget.AUTOML)
+
+    # The AutoML client library exposes 4 different client classes (AutoMlClient,
+    # TablesClient, PredictionServiceClient and GcsClient), so patch each of them.
+    # The same KaggleKernelCredentials are passed to all of them.
+
+    automl_client_init = automl.AutoMlClient.__init__
+    def monkeypatch_automl(self, *args, **kwargs):
+        specified_credentials = kwargs.get('credentials')
+        if specified_credentials is None:
+            Log.info("No credentials specified, using KaggleKernelCredentials.")
+            kwargs['credentials'] = kaggle_kernel_credentials
+        # Note: This is only here so that unit tests can check whether
+        # credentials were set properly.
+        self._kaggle_credentials = kwargs['credentials']
+        return automl_client_init(self, *args, **kwargs)
+
+    if (not has_been_monkeypatched(automl.AutoMlClient.__init__)):
+        automl.AutoMlClient.__init__ = monkeypatch_automl
+
+
+    automl_tablesclient_init = automl.TablesClient.__init__
+    def monkeypatch_tablesclient(self, *args, **kwargs):
+        specified_credentials = kwargs.get('credentials')
+        if specified_credentials is None:
+            Log.info("No credentials specified, using KaggleKernelCredentials.")
+            kwargs['credentials'] = kaggle_kernel_credentials
+        self._kaggle_credentials = kwargs['credentials']
+        return automl_tablesclient_init(self, *args, **kwargs)
+
+    if (not has_been_monkeypatched(automl.TablesClient.__init__)):
+        automl.TablesClient.__init__ = monkeypatch_tablesclient
+
+
+    automl_predictionclient_init = automl.PredictionServiceClient.__init__
+    def monkeypatch_predictionclient(self, *args, **kwargs):
+        specified_credentials = kwargs.get('credentials')
+        if specified_credentials is None:
+            Log.info("No credentials specified, using KaggleKernelCredentials.")
+            kwargs['credentials'] = kaggle_kernel_credentials
+        self._kaggle_credentials = kwargs['credentials']
+        return automl_predictionclient_init(self, *args, **kwargs)
+
+    if (not has_been_monkeypatched(automl.PredictionServiceClient.__init__)):
+        automl.PredictionServiceClient.__init__ = monkeypatch_predictionclient
+
+    return automl
+
 def init():
     init_bigquery()
     init_gcs()
+    init_automl()
 
 # We need to initialize the monkeypatching of the client libraries
 # here since there is a circular dependency between our import hook version
diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index f0dab6ca..04774a11 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -7,7 +7,7 @@
 import importlib.machinery
 
 class GcpModuleFinder(importlib.abc.MetaPathFinder):
-    _MODULES = ['google.cloud.bigquery', 'google.cloud.storage']
+    _MODULES = ['google.cloud.bigquery', 'google.cloud.storage', 'google.cloud.automl_v1beta1']
     _KAGGLE_GCP_PATH = 'kaggle_gcp.py'
     def __init__(self):
         pass
@@ -39,7 +39,8 @@ def create_module(self, spec):
         import kaggle_gcp
         _LOADERS = {
             'google.cloud.bigquery': kaggle_gcp.init_bigquery,
-            'google.cloud.storage': kaggle_gcp.init_gcs
+            'google.cloud.storage': kaggle_gcp.init_gcs,
+            'google.cloud.automl_v1beta1': kaggle_gcp.init_automl,
         }
         monkeypatch_gcp_module = _LOADERS[spec.name]()
         return monkeypatch_gcp_module
diff --git a/tests/test_automl.py b/tests/test_automl.py
index 2e1e414f..b5812205 100644
--- a/tests/test_automl.py
+++ b/tests/test_automl.py
@@ -1,9 +1,66 @@
 import unittest
 
-from google.cloud import automl_v1beta1 as automl
+from unittest.mock import Mock
+
+from kaggle_gcp import KaggleKernelCredentials, init_automl
+from test.support import EnvironmentVarGuard
+from google.cloud import storage, automl_v1beta1 as automl
+
+def _make_credentials():
+    import google.auth.credentials
+    return Mock(spec=google.auth.credentials.Credentials)
 
 class TestAutoMl(unittest.TestCase):
 
     def test_version(self):
         self.assertIsNotNone(automl.auto_ml_client._GAPIC_LIBRARY_VERSION)
+        version_parts = automl.auto_ml_client._GAPIC_LIBRARY_VERSION.split('.')
+        version = float('.'.join(version_parts[0:2]));
+        self.assertGreaterEqual(version, 0.5);
+
+    def test_user_provided_credentials(self):
+        credentials = _make_credentials()
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'AUTOML')
+        with env:
+            init_automl()
+            client = automl.AutoMlClient(credentials=credentials)
+            self.assertNotIsInstance(client._kaggle_credentials, KaggleKernelCredentials)
+            self.assertIsNotNone(client._kaggle_credentials)
+
+
+    def test_tables_gcs_client(self):
+        # The GcsClient can't currently be monkeypatched for default
+        # credentials because it requires a project which can't be set.
+        # Verify that creating an automl.GcsClient given an actual
+        # storage.Client sets the client properly.
+        gcs_client = storage.Client(project="xyz", credentials=_make_credentials())
+        tables_gcs_client = automl.GcsClient(client=gcs_client)
+        self.assertIs(tables_gcs_client.client, gcs_client)
+
+    def test_default_credentials_automl_enabled(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'AUTOML')
+        with env:
+            init_automl()
+            automl_client = automl.AutoMlClient()
+            self.assertIsNotNone(automl_client._kaggle_credentials)
+            self.assertIsInstance(automl_client._kaggle_credentials, KaggleKernelCredentials)
+            tables_client = automl.TablesClient()
+            self.assertIsNotNone(automl_client._kaggle_credentials)
+            self.assertIsInstance(automl_client._kaggle_credentials, KaggleKernelCredentials)
+            prediction_client = automl.PredictionServiceClient()
+            self.assertIsNotNone(automl_client._kaggle_credentials)
+            self.assertIsInstance(automl_client._kaggle_credentials, KaggleKernelCredentials)
 
+    def test_monkeypatching_idempotent(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'GCS')
+        with env:
+            client1 = automl.AutoMlClient.__init__
+            init_automl()
+            client2 = automl.AutoMlClient.__init__
+            self.assertEqual(client1, client2)

From fcb9053c21b54d8ff4e2d208dccc13227f471b63 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 23 Sep 2019 11:27:47 -0700
Subject: [PATCH 0712/1660] Add libltdl7 package required by ImageMagick

BUG=141476846
---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 02dcd180..747f1607 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -41,7 +41,7 @@ RUN pip install seaborn python-dateutil dask && \
     libilmbase12 libjbig0 libjbig2dec0 libjpeg62-turbo liblcms2-2 liblqr-1-0 libltdl7 libmagickcore-6.q16-3 \
     libmagickcore-6.q16-3-extra libmagickwand-6.q16-3 libnetpbm10 libopenexr22 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 \
     libpaper-utils libpaper1 libpixman-1-0 libpng16-16 librsvg2-2 librsvg2-common libthai-data libthai0 libtiff5 libwmf0.2-7 \
-    libxcb-render0 libxcb-shm0 netpbm poppler-data p7zip-full python3-rtree && \
+    libxcb-render0 libxcb-shm0 netpbm poppler-data p7zip-full python3-rtree libltdl7 && \
     cd /usr/local/src && \
     wget --no-verbose https://imagemagick.org/download/ImageMagick.tar.gz && \
     tar xzf ImageMagick.tar.gz && cd `ls -d ImageMagick-*` && pwd && ls -al && ./configure && \

From 9fc349ce29c9f19623a5b37bde9633b1a541f40e Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 23 Sep 2019 12:13:54 -0700
Subject: [PATCH 0713/1660] Pin ImageMagick version

---
 Dockerfile | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 747f1607..6145be25 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -41,9 +41,10 @@ RUN pip install seaborn python-dateutil dask && \
     libilmbase12 libjbig0 libjbig2dec0 libjpeg62-turbo liblcms2-2 liblqr-1-0 libltdl7 libmagickcore-6.q16-3 \
     libmagickcore-6.q16-3-extra libmagickwand-6.q16-3 libnetpbm10 libopenexr22 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 \
     libpaper-utils libpaper1 libpixman-1-0 libpng16-16 librsvg2-2 librsvg2-common libthai-data libthai0 libtiff5 libwmf0.2-7 \
-    libxcb-render0 libxcb-shm0 netpbm poppler-data p7zip-full python3-rtree libltdl7 && \
+    libxcb-render0 libxcb-shm0 netpbm poppler-data p7zip-full python3-rtree && \
     cd /usr/local/src && \
-    wget --no-verbose https://imagemagick.org/download/ImageMagick.tar.gz && \
+    # b/141476846 latest ImageMagick version fails to build.
+    wget --no-verbose https://github.com/ImageMagick/ImageMagick/archive/7.0.8-65.tar.gz && \
     tar xzf ImageMagick.tar.gz && cd `ls -d ImageMagick-*` && pwd && ls -al && ./configure && \
     make -j $(nproc) && make install && \
     /tmp/clean-layer.sh

From e466644e6ec4bfa4dd9b21183492f09728a2ea0f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 23 Sep 2019 12:47:26 -0700
Subject: [PATCH 0714/1660] Update filepath to tar extract

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 6145be25..6dfb5c61 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -45,7 +45,7 @@ RUN pip install seaborn python-dateutil dask && \
     cd /usr/local/src && \
     # b/141476846 latest ImageMagick version fails to build.
     wget --no-verbose https://github.com/ImageMagick/ImageMagick/archive/7.0.8-65.tar.gz && \
-    tar xzf ImageMagick.tar.gz && cd `ls -d ImageMagick-*` && pwd && ls -al && ./configure && \
+    tar xzf 7.0.8-65.tar.gz && cd `ls -d ImageMagick-*` && pwd && ls -al && ./configure && \
     make -j $(nproc) && make install && \
     /tmp/clean-layer.sh
 

From ee7b474011da3f6af6b92ea39883ae94204af367 Mon Sep 17 00:00:00 2001
From: Sergey Kolesnikov <scitator@gmail.com>
Date: Tue, 24 Sep 2019 16:40:00 +0300
Subject: [PATCH 0715/1660] Update Dockerfile

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 6dfb5c61..063c59ba 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -484,6 +484,7 @@ RUN pip install flashtext && \
     pip install chainer-chemistry && \
     pip install plotly_express && \
     pip install albumentations && \
+    pip install catalyst && \
     pip install rtree && \
     pip install osmnx && \
     apt-get -y install libspatialindex-dev && \

From da428139a795d91884a773c09c81d55af9563d6e Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 24 Sep 2019 10:14:41 -0700
Subject: [PATCH 0716/1660] Remove incompatible ktext package

---
 Dockerfile | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 6dfb5c61..24a401e8 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -333,7 +333,10 @@ RUN pip install kmeans-smote --no-dependencies && \
 RUN pip install --upgrade cython && \
     pip install --upgrade cysignals && \
     pip install pyfasttext && \
-    pip install ktext && \
+    # ktext has an explicit dependency on Keras 2.2.4 which is not
+    # compatible with TensorFlow 2.0 (support was added in Keras 2.3.0).
+    # Add the package back once it is fixed upstream.
+    # pip install ktext && \
     pip install fasttext && \
     apt-get install -y libhunspell-dev && pip install hunspell && \
     # b/138723119: annoy's latest version 1.16 was failing

From 2ef2fa6588377b82ddcf11517ee60b4b5505b1de Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 24 Sep 2019 10:16:22 -0700
Subject: [PATCH 0717/1660] Remove ethnicolr

incompatible with TensorFlow > 1.13
---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 24a401e8..a6b7fe53 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -313,7 +313,6 @@ RUN pip install kmeans-smote --no-dependencies && \
     # Add google PAIR-code Facets
     cd /opt/ && git clone https://github.com/PAIR-code/facets && cd facets/ && jupyter nbextension install facets-dist/ --user && \
     export PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/ && \
-    pip install --no-dependencies ethnicolr && \
     pip install tensorpack && \
     pip install pycountry && pip install iso3166 && \
     pip install pydash && \

From 2f18e826872ad3230a89949f7399322bab7eedff Mon Sep 17 00:00:00 2001
From: Sergey Kolesnikov <scitator@gmail.com>
Date: Tue, 24 Sep 2019 22:01:17 +0300
Subject: [PATCH 0718/1660] Create test_catalyst.py

---
 tests/test_catalyst.py | 8 ++++++++
 1 file changed, 8 insertions(+)
 create mode 100644 tests/test_catalyst.py

diff --git a/tests/test_catalyst.py b/tests/test_catalyst.py
new file mode 100644
index 00000000..ba2488bf
--- /dev/null
+++ b/tests/test_catalyst.py
@@ -0,0 +1,8 @@
+import unittest
+
+import catalyst
+
+class TestCatalyst(unittest.TestCase):
+
+    def test_version(self):
+        self.assertIsNotNone(catalyst.__version__)

From ab5b4a1d08243480a003ba6afa2525c57451f1a5 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 24 Sep 2019 12:14:06 -0700
Subject: [PATCH 0719/1660] Add ftfy missing dependency for allennlp

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index a6b7fe53..0d55e933 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -438,7 +438,7 @@ RUN pip install jsonnet overrides tensorboardX && \
     pip install unidecode parsimonious>=0.8.0 sqlparse>=0.2.4 word2number>=1.1 && \
     pip install pytorch-pretrained-bert>=0.6.0 pytorch-transformers==1.1.0 jsonpickle && \
     pip install requests>=2.18 editdistance conllu==0.11 && \
-    pip install conllu==1.3.1 && \
+    pip install conllu==1.3.1 ftfy && \
     pip install --no-dependencies allennlp && \
     /tmp/clean-layer.sh
 

From eaf0e6fce02ae4df48e6c1bc4aac42f9469f3db3 Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@google.com>
Date: Wed, 25 Sep 2019 16:48:17 -0600
Subject: [PATCH 0720/1660] clean up tests for default credentials with
 patching

---
 patches/kaggle_gcp.py |  7 -------
 tests/test_automl.py  | 42 ++++++++++++++++++++++++++++++++----------
 2 files changed, 32 insertions(+), 17 deletions(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index 2b87b469..969fbc12 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -224,35 +224,28 @@ def monkeypatch_automl(self, *args, **kwargs):
         if specified_credentials is None:
             Log.info("No credentials specified, using KaggleKernelCredentials.")
             kwargs['credentials'] = kaggle_kernel_credentials
-        # Note: This is only here so that unit tests can check whether
-        # credentials were set properly.
-        self._kaggle_credentials = kwargs['credentials']
         return automl_client_init(self, *args, **kwargs)
 
     if (not has_been_monkeypatched(automl.AutoMlClient.__init__)):
         automl.AutoMlClient.__init__ = monkeypatch_automl
 
-
     automl_tablesclient_init = automl.TablesClient.__init__
     def monkeypatch_tablesclient(self, *args, **kwargs):
         specified_credentials = kwargs.get('credentials')
         if specified_credentials is None:
             Log.info("No credentials specified, using KaggleKernelCredentials.")
             kwargs['credentials'] = kaggle_kernel_credentials
-        self._kaggle_credentials = kwargs['credentials']
         return automl_tablesclient_init(self, *args, **kwargs)
 
     if (not has_been_monkeypatched(automl.TablesClient.__init__)):
         automl.TablesClient.__init__ = monkeypatch_tablesclient
 
-
     automl_predictionclient_init = automl.PredictionServiceClient.__init__
     def monkeypatch_predictionclient(self, *args, **kwargs):
         specified_credentials = kwargs.get('credentials')
         if specified_credentials is None:
             Log.info("No credentials specified, using KaggleKernelCredentials.")
             kwargs['credentials'] = kaggle_kernel_credentials
-        self._kaggle_credentials = kwargs['credentials']
         return automl_predictionclient_init(self, *args, **kwargs)
 
     if (not has_been_monkeypatched(automl.PredictionServiceClient.__init__)):
diff --git a/tests/test_automl.py b/tests/test_automl.py
index b5812205..5b1932f4 100644
--- a/tests/test_automl.py
+++ b/tests/test_automl.py
@@ -1,6 +1,6 @@
 import unittest
 
-from unittest.mock import Mock
+from unittest.mock import Mock, patch
 
 from kaggle_gcp import KaggleKernelCredentials, init_automl
 from test.support import EnvironmentVarGuard
@@ -18,6 +18,11 @@ def test_version(self):
         version = float('.'.join(version_parts[0:2]));
         self.assertGreaterEqual(version, 0.5);
 
+    class FakeClient:
+        def __init__(self, credentials=None):
+            self.credentials = credentials
+
+    @patch("google.cloud.automl_v1beta1.AutoMlClient", new=FakeClient)
     def test_user_provided_credentials(self):
         credentials = _make_credentials()
         env = EnvironmentVarGuard()
@@ -26,8 +31,8 @@ def test_user_provided_credentials(self):
         with env:
             init_automl()
             client = automl.AutoMlClient(credentials=credentials)
-            self.assertNotIsInstance(client._kaggle_credentials, KaggleKernelCredentials)
-            self.assertIsNotNone(client._kaggle_credentials)
+            self.assertNotIsInstance(client.credentials, KaggleKernelCredentials)
+            self.assertIsNotNone(client.credentials)
 
 
     def test_tables_gcs_client(self):
@@ -39,21 +44,38 @@ def test_tables_gcs_client(self):
         tables_gcs_client = automl.GcsClient(client=gcs_client)
         self.assertIs(tables_gcs_client.client, gcs_client)
 
-    def test_default_credentials_automl_enabled(self):
+
+    @patch("google.cloud.automl_v1beta1.AutoMlClient", new=FakeClient)
+    def test_default_credentials_automl_client(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         env.set('KAGGLE_KERNEL_INTEGRATIONS', 'AUTOML')
         with env:
             init_automl()
             automl_client = automl.AutoMlClient()
-            self.assertIsNotNone(automl_client._kaggle_credentials)
-            self.assertIsInstance(automl_client._kaggle_credentials, KaggleKernelCredentials)
+            self.assertIsNotNone(automl_client.credentials)
+            self.assertIsInstance(automl_client.credentials, KaggleKernelCredentials)
+
+    @patch("google.cloud.automl_v1beta1.TablesClient", new=FakeClient)
+    def test_default_credentials_tables_client(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'AUTOML')
+        with env:
+            init_automl()
             tables_client = automl.TablesClient()
-            self.assertIsNotNone(automl_client._kaggle_credentials)
-            self.assertIsInstance(automl_client._kaggle_credentials, KaggleKernelCredentials)
+            self.assertIsNotNone(tables_client.credentials)
+            self.assertIsInstance(tables_client.credentials, KaggleKernelCredentials)
+
+    @patch("google.cloud.automl_v1beta1.PredictionServiceClient", new=FakeClient)
+    def test_default_credentials_prediction_client(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'AUTOML')
+        with env:
             prediction_client = automl.PredictionServiceClient()
-            self.assertIsNotNone(automl_client._kaggle_credentials)
-            self.assertIsInstance(automl_client._kaggle_credentials, KaggleKernelCredentials)
+            self.assertIsNotNone(prediction_client.credentials)
+            self.assertIsInstance(prediction_client.credentials, KaggleKernelCredentials)
 
     def test_monkeypatching_idempotent(self):
         env = EnvironmentVarGuard()

From c77ddebfd4430d79e805d363dc2e57f65c7bde7a Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@google.com>
Date: Wed, 25 Sep 2019 22:04:28 -0600
Subject: [PATCH 0721/1660] Add a higher-level function for patching clients

---
 patches/kaggle_gcp.py | 67 +++++++++++++++----------------------------
 1 file changed, 23 insertions(+), 44 deletions(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index 969fbc12..aa9b4309 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -176,6 +176,18 @@ def monkeypatch_bq(bq_client, *args, **kwargs):
             bq_client, *args, **kwargs)
     return bigquery
 
+def monkeypatch_client(client_klass, kaggle_kernel_credentials):
+    client_init = client_klass.__init__
+    def patched_init(self, *args, **kwargs):
+        specified_credentials = kwargs.get('credentials')
+        if specified_credentials is None:
+            Log.info("No credentials specified, using KaggleKernelCredentials.")
+            kwargs['credentials'] = kaggle_kernel_credentials
+        return client_init(self, *args, **kwargs)
+
+    if (not has_been_monkeypatched(client_klass.__init__)):
+        client_klass.__init__ = patched_init
+
 def init_gcs():
     is_user_secrets_token_set = "KAGGLE_USER_SECRETS_TOKEN" in os.environ
     from google.cloud import storage
@@ -188,16 +200,9 @@ def init_gcs():
 
     from kaggle_secrets import GcpTarget
     from kaggle_gcp import KaggleKernelCredentials
-    gcs_client_init = storage.Client.__init__
-    def monkeypatch_gcs(self, *args, **kwargs):
-        specified_credentials = kwargs.get('credentials')
-        if specified_credentials is None:
-            Log.info("No credentials specified, using KaggleKernelCredentials.")
-            kwargs['credentials'] = KaggleKernelCredentials(target=GcpTarget.GCS)
-        return gcs_client_init(self, *args, **kwargs)
-
-    if (not has_been_monkeypatched(storage.Client.__init__)):
-        storage.Client.__init__ = monkeypatch_gcs
+    monkeypatch_client(
+        storage.Client,
+        KaggleKernelCredentials(target=GcpTarget.GCS))
     return storage
 
 def init_automl():
@@ -217,40 +222,14 @@ def init_automl():
     # The AutoML client library exposes 4 different client classes (AutoMlClient,
     # TablesClient, PredictionServiceClient and GcsClient), so patch each of them.
     # The same KaggleKernelCredentials are passed to all of them.
-
-    automl_client_init = automl.AutoMlClient.__init__
-    def monkeypatch_automl(self, *args, **kwargs):
-        specified_credentials = kwargs.get('credentials')
-        if specified_credentials is None:
-            Log.info("No credentials specified, using KaggleKernelCredentials.")
-            kwargs['credentials'] = kaggle_kernel_credentials
-        return automl_client_init(self, *args, **kwargs)
-
-    if (not has_been_monkeypatched(automl.AutoMlClient.__init__)):
-        automl.AutoMlClient.__init__ = monkeypatch_automl
-
-    automl_tablesclient_init = automl.TablesClient.__init__
-    def monkeypatch_tablesclient(self, *args, **kwargs):
-        specified_credentials = kwargs.get('credentials')
-        if specified_credentials is None:
-            Log.info("No credentials specified, using KaggleKernelCredentials.")
-            kwargs['credentials'] = kaggle_kernel_credentials
-        return automl_tablesclient_init(self, *args, **kwargs)
-
-    if (not has_been_monkeypatched(automl.TablesClient.__init__)):
-        automl.TablesClient.__init__ = monkeypatch_tablesclient
-
-    automl_predictionclient_init = automl.PredictionServiceClient.__init__
-    def monkeypatch_predictionclient(self, *args, **kwargs):
-        specified_credentials = kwargs.get('credentials')
-        if specified_credentials is None:
-            Log.info("No credentials specified, using KaggleKernelCredentials.")
-            kwargs['credentials'] = kaggle_kernel_credentials
-        return automl_predictionclient_init(self, *args, **kwargs)
-
-    if (not has_been_monkeypatched(automl.PredictionServiceClient.__init__)):
-        automl.PredictionServiceClient.__init__ = monkeypatch_predictionclient
-
+    monkeypatch_client(automl.AutoMlClient, kaggle_kernel_credentials)
+    monkeypatch_client(automl.TablesClient, kaggle_kernel_credentials)
+    monkeypatch_client(automl.PredictionServiceClient, kaggle_kernel_credentials)
+    # TODO(markcollins): The GcsClient in the AutoML client library version
+    # 0.5.0 doesn't handle credentials properly. I wrote PR:
+    # https://github.com/googleapis/google-cloud-python/pull/9299
+    # to address this issue. Add patching for GcsClient when we get a version of
+    # the library that includes the fixes.
     return automl
 
 def init():

From 0f925d1ef2a15ebba2a35b74356004d8e9ce31e2 Mon Sep 17 00:00:00 2001
From: Sergey Kolesnikov <scitator@gmail.com>
Date: Thu, 26 Sep 2019 10:07:59 +0300
Subject: [PATCH 0722/1660] Update test_catalyst.py

---
 tests/test_catalyst.py | 86 ++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 86 insertions(+)

diff --git a/tests/test_catalyst.py b/tests/test_catalyst.py
index ba2488bf..7afe51ea 100644
--- a/tests/test_catalyst.py
+++ b/tests/test_catalyst.py
@@ -1,8 +1,94 @@
 import unittest
+import collections
+
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+import torchvision
+import torchvision.transforms as transforms
 
 import catalyst
+from catalyst.dl import SupervisedRunner, CheckpointCallback
+from safitty import Safict
+
 
 class TestCatalyst(unittest.TestCase):
 
     def test_version(self):
         self.assertIsNotNone(catalyst.__version__)
+    
+    def test_mnist(self):
+        bs = 32
+        num_workers = 4
+
+        data_transform = transforms.Compose([
+            transforms.ToTensor(),
+            transforms.Normalize((0.1307, ), (0.3081, ))
+        ])
+
+
+        loaders = collections.OrderedDict()
+
+        trainset = torchvision.datasets.MNIST(
+            root='./data', train=False,
+            download=True, transform=data_transform)
+        trainloader = torch.utils.data.DataLoader(
+            trainset, batch_size=bs,
+            shuffle=True, num_workers=num_workers)
+
+        testset = trainset
+        testloader = torch.utils.data.DataLoader(
+            testset, batch_size=bs,
+            shuffle=False, num_workers=num_workers)
+
+        loaders["train"] = trainloader
+        loaders["valid"] = testloader
+        
+        class Net(nn.Module):
+            def __init__(self):
+                super().__init__()
+                self.conv1 = nn.Conv2d(1, 20, 5, 1)
+                self.conv2 = nn.Conv2d(20, 50, 5, 1)
+                self.fc1 = nn.Linear(4 * 4 * 50, 500)
+                self.fc2 = nn.Linear(500, 10)
+
+            def forward(self, x):
+                x = F.relu(self.conv1(x))
+                x = F.max_pool2d(x, 2, 2)
+                x = F.relu(self.conv2(x))
+                x = F.max_pool2d(x, 2, 2)
+                x = x.view(-1, 4 * 4 * 50)
+                x = F.relu(self.fc1(x))
+                x = self.fc2(x)
+                return x
+
+        # experiment setup
+        num_epochs = 3
+        logdir = "./logs"
+
+        # model, criterion, optimizer
+        model = Net()
+        criterion = nn.CrossEntropyLoss()
+        optimizer = torch.optim.Adam(model.parameters())
+
+        # model runner
+        runner = SupervisedRunner()
+
+        # model training
+        runner.train(
+            model=model,
+            criterion=criterion,
+            optimizer=optimizer,
+            loaders=loaders,
+            logdir=logdir,
+            num_epochs=num_epochs,
+            verbose=False,
+            callbacks=[CheckpointCallback(save_n_best=3)]
+        )
+        
+        metrics = Safict.load("./logs/checkpoints/_metrics.json")
+        metrics_flag1 = \
+            metrics.get("train.2", "loss") < metrics.get("train.0", "loss")
+        metrics_flag2 = metrics.get("train.2", "loss") < 0.05
+        self.assertTrue(metrics_flag1)
+        self.assertTrue(metrics_flag2)

From 98f60ca4b9ea12b55212e417e8b56df293b4098b Mon Sep 17 00:00:00 2001
From: Sergey Kolesnikov <scitator@gmail.com>
Date: Thu, 26 Sep 2019 10:08:45 +0300
Subject: [PATCH 0723/1660] Update test_catalyst.py

---
 tests/test_catalyst.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/tests/test_catalyst.py b/tests/test_catalyst.py
index 7afe51ea..d7e986c9 100644
--- a/tests/test_catalyst.py
+++ b/tests/test_catalyst.py
@@ -26,7 +26,6 @@ def test_mnist(self):
             transforms.Normalize((0.1307, ), (0.3081, ))
         ])
 
-
         loaders = collections.OrderedDict()
 
         trainset = torchvision.datasets.MNIST(

From a09151cdfaf70ea9754a1b00ada738ba26ad1576 Mon Sep 17 00:00:00 2001
From: Sergey Kolesnikov <scitator@gmail.com>
Date: Thu, 26 Sep 2019 23:15:11 +0300
Subject: [PATCH 0724/1660] Update test_catalyst.py

---
 tests/test_catalyst.py | 122 ++++++++++++++++++++++++++++++-----------
 1 file changed, 90 insertions(+), 32 deletions(-)

diff --git a/tests/test_catalyst.py b/tests/test_catalyst.py
index d7e986c9..9d07249b 100644
--- a/tests/test_catalyst.py
+++ b/tests/test_catalyst.py
@@ -1,5 +1,6 @@
 import unittest
 import collections
+import numpy as np
 
 import torch
 import torch.nn as nn
@@ -7,59 +8,116 @@
 import torchvision
 import torchvision.transforms as transforms
 
-import catalyst
 from catalyst.dl import SupervisedRunner, CheckpointCallback
+from catalyst import utils
 from safitty import Safict
 
 
+def _to_categorical(y, num_classes=None, dtype='float32'):
+    """
+    Taken from 
+    github.com/keras-team/keras/blob/master/keras/utils/np_utils.py
+    Converts a class vector (integers) to binary class matrix.
+    E.g. for use with categorical_crossentropy.
+    # Arguments
+        y: class vector to be converted into a matrix
+            (integers from 0 to num_classes).
+        num_classes: total number of classes.
+        dtype: The data type expected by the input, as a string
+            (`float32`, `float64`, `int32`...)
+    # Returns
+        A binary matrix representation of the input. The classes axis
+        is placed last.
+    # Example
+    ```python
+    # Consider an array of 5 labels out of a set of 3 classes {0, 1, 2}:
+    > labels
+    array([0, 2, 1, 2, 0])
+    # `to_categorical` converts this into a matrix with as many
+    # columns as there are classes. The number of rows
+    # stays the same.
+    > to_categorical(labels)
+    array([[ 1.,  0.,  0.],
+           [ 0.,  0.,  1.],
+           [ 0.,  1.,  0.],
+           [ 0.,  0.,  1.],
+           [ 1.,  0.,  0.]], dtype=float32)
+    ```
+    """
+
+    y = np.array(y, dtype='int')
+    input_shape = y.shape
+    if input_shape and input_shape[-1] == 1 and len(input_shape) > 1:
+        input_shape = tuple(input_shape[:-1])
+    y = y.ravel()
+    if not num_classes:
+        num_classes = np.max(y) + 1
+    n = y.shape[0]
+    categorical = np.zeros((n, num_classes), dtype=dtype)
+    categorical[np.arange(n), y] = 1
+    output_shape = input_shape + (num_classes,)
+    categorical = np.reshape(categorical, output_shape)
+    return categorical
+
+
+class Net(nn.Module):
+    def __init__(self):
+        super().__init__()
+        self.conv1 = nn.Conv2d(1, 20, 5, 1)
+        self.conv2 = nn.Conv2d(20, 50, 5, 1)
+        self.fc1 = nn.Linear(4 * 4 * 50, 500)
+        self.fc2 = nn.Linear(500, 10)
+
+    def forward(self, x):
+        x = F.relu(self.conv1(x))
+        x = F.max_pool2d(x, 2, 2)
+        x = F.relu(self.conv2(x))
+        x = F.max_pool2d(x, 2, 2)
+        x = x.view(-1, 4 * 4 * 50)
+        x = F.relu(self.fc1(x))
+        x = self.fc2(x)
+        return x
+
+
 class TestCatalyst(unittest.TestCase):
 
     def test_version(self):
         self.assertIsNotNone(catalyst.__version__)
     
     def test_mnist(self):
+        utils.set_global_seed(42)
+        x_train = np.random.random((100, 1, 28, 28)).astype(np.float32)
+        y_train = _to_categorical(
+            np.random.randint(10, size=(100, 1)), 
+            num_classes=10
+        ).astype(np.float32)
+        x_valid = np.random.random((20, 1, 28, 28)).astype(np.float32)
+        y_valid = _to_categorical(
+            np.random.randint(10, size=(20, 1)), 
+            num_classes=10
+        ).astype(np.float32)
+
+        x_train, y_train, x_valid, y_valid = \
+            list(map(torch.tensor, [x_train, y_train, x_valid, y_valid]))
+
         bs = 32
         num_workers = 4
-
-        data_transform = transforms.Compose([
-            transforms.ToTensor(),
-            transforms.Normalize((0.1307, ), (0.3081, ))
-        ])
+        data_transform = transforms.ToTensor()
 
         loaders = collections.OrderedDict()
 
-        trainset = torchvision.datasets.MNIST(
-            root='./data', train=False,
-            download=True, transform=data_transform)
+        trainset = torch.utils.data.TensorDataset(x_train, y_train)
         trainloader = torch.utils.data.DataLoader(
             trainset, batch_size=bs,
             shuffle=True, num_workers=num_workers)
 
-        testset = trainset
-        testloader = torch.utils.data.DataLoader(
-            testset, batch_size=bs,
+        validset = torch.utils.data.TensorDataset(x_valid, y_valid)
+        validloader = torch.utils.data.DataLoader(
+            validset, batch_size=bs,
             shuffle=False, num_workers=num_workers)
 
         loaders["train"] = trainloader
-        loaders["valid"] = testloader
-        
-        class Net(nn.Module):
-            def __init__(self):
-                super().__init__()
-                self.conv1 = nn.Conv2d(1, 20, 5, 1)
-                self.conv2 = nn.Conv2d(20, 50, 5, 1)
-                self.fc1 = nn.Linear(4 * 4 * 50, 500)
-                self.fc2 = nn.Linear(500, 10)
-
-            def forward(self, x):
-                x = F.relu(self.conv1(x))
-                x = F.max_pool2d(x, 2, 2)
-                x = F.relu(self.conv2(x))
-                x = F.max_pool2d(x, 2, 2)
-                x = x.view(-1, 4 * 4 * 50)
-                x = F.relu(self.fc1(x))
-                x = self.fc2(x)
-                return x
+        loaders["valid"] = validloader
 
         # experiment setup
         num_epochs = 3
@@ -88,6 +146,6 @@ def forward(self, x):
         metrics = Safict.load("./logs/checkpoints/_metrics.json")
         metrics_flag1 = \
             metrics.get("train.2", "loss") < metrics.get("train.0", "loss")
-        metrics_flag2 = metrics.get("train.2", "loss") < 0.05
+        metrics_flag2 = metrics.get("best", "loss") < 0.35
         self.assertTrue(metrics_flag1)
         self.assertTrue(metrics_flag2)

From 45e1ae6277e11ed28a6f1d4861b96af462cf7b4c Mon Sep 17 00:00:00 2001
From: Sergey Kolesnikov <scitator@gmail.com>
Date: Thu, 26 Sep 2019 23:16:22 +0300
Subject: [PATCH 0725/1660] Update test_catalyst.py

---
 tests/test_catalyst.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/test_catalyst.py b/tests/test_catalyst.py
index 9d07249b..8846743d 100644
--- a/tests/test_catalyst.py
+++ b/tests/test_catalyst.py
@@ -125,7 +125,7 @@ def test_mnist(self):
 
         # model, criterion, optimizer
         model = Net()
-        criterion = nn.CrossEntropyLoss()
+        criterion = nn.BCEWithLogitsLoss()
         optimizer = torch.optim.Adam(model.parameters())
 
         # model runner

From cce1218556a1d13113c25cd4fa980a213ba89661 Mon Sep 17 00:00:00 2001
From: Sergey Kolesnikov <scitator@gmail.com>
Date: Mon, 30 Sep 2019 20:21:14 +0300
Subject: [PATCH 0726/1660] Update test_catalyst.py

---
 tests/test_catalyst.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/tests/test_catalyst.py b/tests/test_catalyst.py
index 8846743d..8db2a95e 100644
--- a/tests/test_catalyst.py
+++ b/tests/test_catalyst.py
@@ -8,6 +8,7 @@
 import torchvision
 import torchvision.transforms as transforms
 
+import catalyst
 from catalyst.dl import SupervisedRunner, CheckpointCallback
 from catalyst import utils
 from safitty import Safict

From 7494e1310532b828b3f22de0cb1de7c3aebf160c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 30 Sep 2019 18:20:05 +0000
Subject: [PATCH 0727/1660] build GA TF whl

---
 tensorflow-whl/CHANGELOG.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index 4689b136..52ad753b 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -6,3 +6,4 @@
 1.13.1-py37-2: TensorFlow 1.13.1 with Python 3.7.3
 1.14.0-py36: TensorFlow 1.14.0 with Python 3.6
 2.0.0-rc1-py36: TensorFlow 2.0.0 RC1 with Python 3.6
+2.0.0-py36: TensorFlow 2.0.0 with Python 3.6

From 30c201304a41d277241e08b5177eb3e1cf68e0bc Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 10 Oct 2019 09:31:19 -0700
Subject: [PATCH 0728/1660] Add Docker TAG with TensorFlow version

---
 Dockerfile | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 65e07969..7204a14b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,6 +1,7 @@
 ARG BASE_TAG=2019.03
+ARG TENSORFLOW_VERSION=1.14.0
 
-FROM gcr.io/kaggle-images/python-tensorflow-whl:1.14.0-py36 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py36 as tensorflow_whl
 FROM continuumio/anaconda3:${BASE_TAG}
 
 ARG GIT_COMMIT=unknown
@@ -8,6 +9,7 @@ ARG BUILD_DATE=unknown
 
 LABEL git-commit=$GIT_COMMIT
 LABEL build-date=$BUILD_DATE
+LABEL tensorflow-version=$TENSORFLOW_VERSION
 
 # Correlate current release with the git hash inside the kernel editor by running `!cat /etc/git_commit`.
 RUN echo "$GIT_COMMIT" > /etc/git_commit && echo "$BUILD_DATE" > /etc/build_date

From 71f3c28f61195d07391a5dfcb39559cd75668a88 Mon Sep 17 00:00:00 2001
From: Philmod <philmod@google.com>
Date: Fri, 11 Oct 2019 14:14:23 -0400
Subject: [PATCH 0729/1660] remove numba pin version, as the base image was
 upgraded

---
 Dockerfile | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 7204a14b..48c50f5f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -175,9 +175,7 @@ RUN pip install scipy && \
     pip install orderedmultidict && \
     pip install smhasher && \
     pip install bokeh && \
-    # b/134599839: latest version requires llvmlite >= 0.39.0. Base image comes with 0.38.0.
-    # It fails to reinstall it because it is a distutil package. Remove pin once base image include newer verson of llvmlite.
-    pip install numba==0.38.0 && \
+    pip install numba && \
     pip install datashader && \
     # Boruta (python implementation)
     pip install Boruta && \

From 96af5ad1bfd19dbde27cbe342ff15a53219b5ce9 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 20 Jun 2019 18:23:59 +0000
Subject: [PATCH 0730/1660] Update Dockerfiles to install TF 2.0

---
 Dockerfile     | 7 ++-----
 gpu.Dockerfile | 7 ++-----
 2 files changed, 4 insertions(+), 10 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 48c50f5f..327e99b6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,5 +1,5 @@
 ARG BASE_TAG=2019.03
-ARG TENSORFLOW_VERSION=1.14.0
+ARG TENSORFLOW_VERSION=2.0.0
 
 FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py36 as tensorflow_whl
 FROM continuumio/anaconda3:${BASE_TAG}
@@ -51,10 +51,7 @@ RUN pip install seaborn python-dateutil dask && \
     make -j $(nproc) && make install && \
     /tmp/clean-layer.sh
 
-# Install tensorflow from a pre-built wheel
-COPY --from=tensorflow_whl /tmp/tensorflow_cpu/*.whl /tmp/tensorflow_cpu/
-RUN pip install /tmp/tensorflow_cpu/tensorflow*.whl && \
-    rm -rf /tmp/tensorflow_cpu && \
+RUN pip install tensorflow==2.0.0-beta1 && \
     /tmp/clean-layer.sh
 
 RUN apt-get install -y libfreetype6-dev && \
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index cd8051c3..5c6adece 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,7 +1,6 @@
 ARG BASE_TAG=staging
 
 FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04 AS nvidia
-FROM gcr.io/kaggle-images/python-tensorflow-whl:1.14.0-py36 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
@@ -44,11 +43,9 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 && \
     /tmp/clean-layer.sh
 
-# Reinstall packages with a separate version for GPU support
-# Tensorflow
-COPY --from=tensorflow_whl /tmp/tensorflow_gpu/*.whl /tmp/tensorflow_gpu/
+# Reinstall packages with a separate version for GPU support.
 RUN pip uninstall -y tensorflow && \
-    pip install /tmp/tensorflow_gpu/tensorflow*.whl && \
+    pip install tensorflow-gpu==2.0.0-beta1 && \
     rm -rf /tmp/tensorflow_gpu && \
     conda remove --force -y pytorch-cpu torchvision-cpu && \
     conda install -y pytorch torchvision cudatoolkit=10.0 -c pytorch && \

From 833ae9b842938ba71daa6ace6431e38b5a684cd1 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 20 Jun 2019 18:24:19 +0000
Subject: [PATCH 0731/1660] update tensorflow test to be tf 2.0 compatible

---
 tests/test_tensorflow.py | 97 +++++++++++++++++++++-------------------
 1 file changed, 50 insertions(+), 47 deletions(-)

diff --git a/tests/test_tensorflow.py b/tests/test_tensorflow.py
index 5968316e..dfd58cd8 100644
--- a/tests/test_tensorflow.py
+++ b/tests/test_tensorflow.py
@@ -2,68 +2,71 @@
 
 import numpy as np
 import tensorflow as tf
-from tensorflow.contrib import cudnn_rnn
-from tensorflow.python.framework import dtypes
-from tensorflow.python.ops import variables
 
 from common import gpu_test
 
 
 class TestTensorflow(unittest.TestCase):
     def test_addition(self):        
-        op = tf.add(2, 3)        
-        sess = tf.Session()
-
-        result = sess.run(op)
-
-        self.assertEqual(5, result)
+        result = tf.add(2, 3)        
+        self.assertEqual(5, result.numpy())
 
     def test_conv2d(self):
-        input = tf.random_normal([1,2,2,1])
-        filter = tf.random_normal([1,1,1,1])
-
-        op = tf.nn.conv2d(input, filter, strides=[1, 1, 1, 1], padding='SAME')
-        with tf.Session() as sess:
-            result = sess.run(op)
-            self.assertEqual(4, len(result.shape))
-
-    @gpu_test
-    def test_cudnn_lstm(self):
-        num_layers = 4
-        num_units = 2
-        batch_size = 8
-        dir_count = 1
-
-        inputs = tf.random_uniform([num_layers * dir_count, batch_size, num_units], dtype=dtypes.float32)
+        input = tf.random.normal([1,2,2,1])
+        filter = tf.random.normal([1,1,1,1])
 
-        lstm = cudnn_rnn.CudnnLSTM(
-            num_layers=num_layers,
-            num_units=num_units,
-            direction='unidirectional',
-            kernel_initializer=tf.constant_initializer(0.),
-            bias_initializer=tf.constant_initializer(0.),
-            name='test_gru'
-        )
-
-        outputs, _ = lstm(inputs)
-        total_sum = tf.reduce_sum(outputs)
-
-        with tf.Session() as sess:
-            sess.run(variables.global_variables_initializer())
-            result = sess.run(total_sum)
-            self.assertEqual(0, result)
+        result = tf.nn.conv2d(input, filter, strides=[1, 1, 1, 1], padding='SAME')
+        self.assertEqual(4, len(result.shape))
+    
+    def test_tf_keras(self):
+        x_train = np.random.random((100, 28, 28))
+        y_train = np.random.randint(10, size=(100, 1))
+        x_test = np.random.random((20, 28, 28))
+        y_test = np.random.randint(10, size=(20, 1))
+
+        model = tf.keras.models.Sequential([
+            tf.keras.layers.Flatten(input_shape=(28, 28)),
+            tf.keras.layers.Dense(128, activation='relu'),
+            tf.keras.layers.Dropout(0.2),
+            tf.keras.layers.Dense(10, activation='softmax')
+        ])
+
+        model.compile(
+            optimizer='adam',
+            loss='sparse_categorical_crossentropy',
+            metrics=['accuracy'])
+
+        model.fit(x_train, y_train, epochs=1)
+        model.evaluate(x_test, y_test)
+        
+
+    def test_lstm(self):
+        x_train = np.random.random((100, 28, 28))
+        y_train = np.random.randint(10, size=(100, 1))
+        x_test = np.random.random((20, 28, 28))
+        y_test = np.random.randint(10, size=(20, 1))
+
+        model = tf.keras.Sequential([
+            tf.keras.layers.Bidirectional(tf.keras.layers.LSTM(64, input_shape=(28, 28))),
+            tf.keras.layers.Dense(64, activation='relu'),
+            tf.keras.layers.Dense(1, activation='sigmoid')
+        ])
+
+        model.compile(
+            loss='binary_crossentropy',
+            optimizer='adam',
+            metrics=['accuracy'])
+
+        model.fit(x_train, y_train, epochs=1)
+        model.evaluate(x_test, y_test)
     
     @gpu_test
     def test_gpu(self):
         with tf.device('/gpu:0'):
             m1 = tf.constant([2.0, 3.0], shape=[1, 2], name='a')
             m2 = tf.constant([3.0, 4.0], shape=[2, 1], name='b')
-            op = tf.matmul(m1, m2)
-
-            with tf.Session() as sess:
-                result = sess.run(op)
-
-                self.assertEqual(np.array(18, dtype=np.float32, ndmin=2), result)
+            result = tf.matmul(m1, m2)
+            self.assertEqual(np.array(18, dtype=np.float32, ndmin=2), result.numpy())
 
     @gpu_test
     def test_is_built_with_cuda(self):

From f5afde55aea8021d69d63d828ce08abbdf5f84f4 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 18 Sep 2019 21:44:14 +0000
Subject: [PATCH 0732/1660] Install RC1

---
 Dockerfile     | 2 +-
 gpu.Dockerfile | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 327e99b6..a73d2db0 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -51,7 +51,7 @@ RUN pip install seaborn python-dateutil dask && \
     make -j $(nproc) && make install && \
     /tmp/clean-layer.sh
 
-RUN pip install tensorflow==2.0.0-beta1 && \
+RUN pip install tensorflow==2.0.0rc1 && \
     /tmp/clean-layer.sh
 
 RUN apt-get install -y libfreetype6-dev && \
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 5c6adece..8b2c620e 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -45,7 +45,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
 
 # Reinstall packages with a separate version for GPU support.
 RUN pip uninstall -y tensorflow && \
-    pip install tensorflow-gpu==2.0.0-beta1 && \
+    pip install tensorflow-gpu==2.0.0rc1 && \
     rm -rf /tmp/tensorflow_gpu && \
     conda remove --force -y pytorch-cpu torchvision-cpu && \
     conda install -y pytorch torchvision cudatoolkit=10.0 -c pytorch && \

From c145c84588f516f0aecdb28daaa5d19edbefb35a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 18 Sep 2019 21:47:18 +0000
Subject: [PATCH 0733/1660] Set default backend for keras.io to theano

---
 Dockerfile | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index a73d2db0..d707265d 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -54,6 +54,10 @@ RUN pip install seaborn python-dateutil dask && \
 RUN pip install tensorflow==2.0.0rc1 && \
     /tmp/clean-layer.sh
 
+# keras.io is not yet compatible with TensorFlow 2.0.
+# tf.keras should be used instead to use TensorFlow + Keras.
+ENV KERAS_BACKEND=theano
+
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
     pip install gensim && \

From 00557e39965d12522775b568623ca4a49c6f3b7e Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 18 Sep 2019 23:47:03 +0000
Subject: [PATCH 0734/1660] skip keras.io cudnn test

---
 tests/test_keras.py | 38 ++++++++++++++++++++------------------
 1 file changed, 20 insertions(+), 18 deletions(-)

diff --git a/tests/test_keras.py b/tests/test_keras.py
index 86ac55e2..107d6e5c 100644
--- a/tests/test_keras.py
+++ b/tests/test_keras.py
@@ -61,22 +61,24 @@ def test_conv2d(self):
         model.fit(x_train, y_train, batch_size=32, epochs=1)
         model.evaluate(x_test, y_test, batch_size=32)
 
-    @gpu_test
-    def test_cudnn_lstm(self):
-        x_train = np.random.random((100, 100, 100))
-        y_train = keras.utils.to_categorical(np.random.randint(10, size=(100, 1)), num_classes=10)
-        x_test = np.random.random((20, 100, 100))
-        y_test = keras.utils.to_categorical(np.random.randint(10, size=(20, 1)), num_classes=10)
-
-        sgd = SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
-
-        model = Sequential()
-        model.add(CuDNNLSTM(32, return_sequences=True, input_shape=(100, 100)))
-        model.add(Flatten())
-        model.add(Dense(10, activation='softmax'))
-
-
-        model.compile(loss='categorical_crossentropy', optimizer=sgd)
-        model.fit(x_train, y_train, batch_size=32, epochs=1)
-        model.evaluate(x_test, y_test, batch_size=32)
+    # keras.io is not yet compatible with TensorFlow 2.0. The default backend has been set to theano.
+    # CuDNN is only supported for the TensorFlow backend.
+    # @gpu_test
+    # def test_cudnn_lstm(self):
+    #     x_train = np.random.random((100, 100, 100))
+    #     y_train = keras.utils.to_categorical(np.random.randint(10, size=(100, 1)), num_classes=10)
+    #     x_test = np.random.random((20, 100, 100))
+    #     y_test = keras.utils.to_categorical(np.random.randint(10, size=(20, 1)), num_classes=10)
+
+    #     sgd = SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
+
+    #     model = Sequential()
+    #     model.add(CuDNNLSTM(32, return_sequences=True, input_shape=(100, 100)))
+    #     model.add(Flatten())
+    #     model.add(Dense(10, activation='softmax'))
+
+
+    #     model.compile(loss='categorical_crossentropy', optimizer=sgd)
+    #     model.fit(x_train, y_train, batch_size=32, epochs=1)
+    #     model.evaluate(x_test, y_test, batch_size=32)
 

From 78cb85e4f533cee8cfe76352d2acc75027815661 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 18 Sep 2019 23:50:10 +0000
Subject: [PATCH 0735/1660] keras.io 2.3.0 released on 9/17 supports TF 2.0,
 set default backend back to TF

---
 Dockerfile          |  4 ----
 tests/test_keras.py | 38 ++++++++++++++++++--------------------
 2 files changed, 18 insertions(+), 24 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index d707265d..a73d2db0 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -54,10 +54,6 @@ RUN pip install seaborn python-dateutil dask && \
 RUN pip install tensorflow==2.0.0rc1 && \
     /tmp/clean-layer.sh
 
-# keras.io is not yet compatible with TensorFlow 2.0.
-# tf.keras should be used instead to use TensorFlow + Keras.
-ENV KERAS_BACKEND=theano
-
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
     pip install gensim && \
diff --git a/tests/test_keras.py b/tests/test_keras.py
index 107d6e5c..86ac55e2 100644
--- a/tests/test_keras.py
+++ b/tests/test_keras.py
@@ -61,24 +61,22 @@ def test_conv2d(self):
         model.fit(x_train, y_train, batch_size=32, epochs=1)
         model.evaluate(x_test, y_test, batch_size=32)
 
-    # keras.io is not yet compatible with TensorFlow 2.0. The default backend has been set to theano.
-    # CuDNN is only supported for the TensorFlow backend.
-    # @gpu_test
-    # def test_cudnn_lstm(self):
-    #     x_train = np.random.random((100, 100, 100))
-    #     y_train = keras.utils.to_categorical(np.random.randint(10, size=(100, 1)), num_classes=10)
-    #     x_test = np.random.random((20, 100, 100))
-    #     y_test = keras.utils.to_categorical(np.random.randint(10, size=(20, 1)), num_classes=10)
-
-    #     sgd = SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
-
-    #     model = Sequential()
-    #     model.add(CuDNNLSTM(32, return_sequences=True, input_shape=(100, 100)))
-    #     model.add(Flatten())
-    #     model.add(Dense(10, activation='softmax'))
-
-
-    #     model.compile(loss='categorical_crossentropy', optimizer=sgd)
-    #     model.fit(x_train, y_train, batch_size=32, epochs=1)
-    #     model.evaluate(x_test, y_test, batch_size=32)
+    @gpu_test
+    def test_cudnn_lstm(self):
+        x_train = np.random.random((100, 100, 100))
+        y_train = keras.utils.to_categorical(np.random.randint(10, size=(100, 1)), num_classes=10)
+        x_test = np.random.random((20, 100, 100))
+        y_test = keras.utils.to_categorical(np.random.randint(10, size=(20, 1)), num_classes=10)
+
+        sgd = SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
+
+        model = Sequential()
+        model.add(CuDNNLSTM(32, return_sequences=True, input_shape=(100, 100)))
+        model.add(Flatten())
+        model.add(Dense(10, activation='softmax'))
+
+
+        model.compile(loss='categorical_crossentropy', optimizer=sgd)
+        model.fit(x_train, y_train, batch_size=32, epochs=1)
+        model.evaluate(x_test, y_test, batch_size=32)
 

From a3e052957a022dc665742a72742c01f2b1092327 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 19 Sep 2019 23:31:23 +0000
Subject: [PATCH 0736/1660] remove test for unsupported keras.io feature with
 TF 2.0

---
 tests/test_keras.py | 43 +++++++++++++++++++++++++------------------
 1 file changed, 25 insertions(+), 18 deletions(-)

diff --git a/tests/test_keras.py b/tests/test_keras.py
index 86ac55e2..ea221113 100644
--- a/tests/test_keras.py
+++ b/tests/test_keras.py
@@ -61,22 +61,29 @@ def test_conv2d(self):
         model.fit(x_train, y_train, batch_size=32, epochs=1)
         model.evaluate(x_test, y_test, batch_size=32)
 
-    @gpu_test
-    def test_cudnn_lstm(self):
-        x_train = np.random.random((100, 100, 100))
-        y_train = keras.utils.to_categorical(np.random.randint(10, size=(100, 1)), num_classes=10)
-        x_test = np.random.random((20, 100, 100))
-        y_test = keras.utils.to_categorical(np.random.randint(10, size=(20, 1)), num_classes=10)
-
-        sgd = SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
-
-        model = Sequential()
-        model.add(CuDNNLSTM(32, return_sequences=True, input_shape=(100, 100)))
-        model.add(Flatten())
-        model.add(Dense(10, activation='softmax'))
-
-
-        model.compile(loss='categorical_crossentropy', optimizer=sgd)
-        model.fit(x_train, y_train, batch_size=32, epochs=1)
-        model.evaluate(x_test, y_test, batch_size=32)
+    # Tensorflow 2.0 doesn't support the contrib package.
+    #
+    # Error:
+    #   from tensorflow.contrib.cudnn_rnn.python.ops import cudnn_rnn_ops
+    # ModuleNotFoundError: No module named 'tensorflow.contrib'
+    #
+    # tf.keras should be used instead until this is fixed.
+    # @gpu_test
+    # def test_cudnn_lstm(self):
+    #     x_train = np.random.random((100, 100, 100))
+    #     y_train = keras.utils.to_categorical(np.random.randint(10, size=(100, 1)), num_classes=10)
+    #     x_test = np.random.random((20, 100, 100))
+    #     y_test = keras.utils.to_categorical(np.random.randint(10, size=(20, 1)), num_classes=10)
+
+    #     sgd = SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
+
+    #     model = Sequential()
+    #     model.add(CuDNNLSTM(32, return_sequences=True, input_shape=(100, 100)))
+    #     model.add(Flatten())
+    #     model.add(Dense(10, activation='softmax'))
+
+
+    #     model.compile(loss='categorical_crossentropy', optimizer=sgd)
+    #     model.fit(x_train, y_train, batch_size=32, epochs=1)
+    #     model.evaluate(x_test, y_test, batch_size=32)
 

From 99d9441ae4c4401e1f2f3b100b9ffdc8abd4e5ad Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 20 Sep 2019 22:23:27 +0000
Subject: [PATCH 0737/1660] Use optimized tensorflow wheels

---
 Dockerfile               | 5 ++++-
 gpu.Dockerfile           | 4 +++-
 tests/test_tensorflow.py | 2 +-
 3 files changed, 8 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index a73d2db0..833d9611 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -51,7 +51,10 @@ RUN pip install seaborn python-dateutil dask && \
     make -j $(nproc) && make install && \
     /tmp/clean-layer.sh
 
-RUN pip install tensorflow==2.0.0rc1 && \
+# Install tensorflow from a pre-built wheel
+COPY --from=tensorflow_whl /tmp/tensorflow_cpu/*.whl /tmp/tensorflow_cpu/
+RUN pip install /tmp/tensorflow_cpu/tensorflow*.whl && \
+    rm -rf /tmp/tensorflow_cpu && \
     /tmp/clean-layer.sh
 
 RUN apt-get install -y libfreetype6-dev && \
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 8b2c620e..a2eb6d1c 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,6 +1,7 @@
 ARG BASE_TAG=staging
 
 FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04 AS nvidia
+FROM gcr.io/kaggle-images/python-tensorflow-whl:2.0.0-rc1-py36 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
@@ -44,8 +45,9 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     /tmp/clean-layer.sh
 
 # Reinstall packages with a separate version for GPU support.
+COPY --from=tensorflow_whl /tmp/tensorflow_gpu/*.whl /tmp/tensorflow_gpu/
 RUN pip uninstall -y tensorflow && \
-    pip install tensorflow-gpu==2.0.0rc1 && \
+    pip install /tmp/tensorflow_gpu/tensorflow*.whl && \
     rm -rf /tmp/tensorflow_gpu && \
     conda remove --force -y pytorch-cpu torchvision-cpu && \
     conda install -y pytorch torchvision cudatoolkit=10.0 -c pytorch && \
diff --git a/tests/test_tensorflow.py b/tests/test_tensorflow.py
index dfd58cd8..0b86cb5f 100644
--- a/tests/test_tensorflow.py
+++ b/tests/test_tensorflow.py
@@ -8,7 +8,7 @@
 
 class TestTensorflow(unittest.TestCase):
     def test_addition(self):        
-        result = tf.add(2, 3)        
+        result = tf.add(2, 3)
         self.assertEqual(5, result.numpy())
 
     def test_conv2d(self):

From 398491e412e6e16f7c526d0c72a872b06fbed1d9 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 1 Oct 2019 00:26:04 +0000
Subject: [PATCH 0738/1660] use 2.0 GA whl

---
 gpu.Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index a2eb6d1c..e957870e 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=staging
 
 FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04 AS nvidia
-FROM gcr.io/kaggle-images/python-tensorflow-whl:2.0.0-rc1-py36 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:2.0.0-py36 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh

From 743c5fd8c20966004ea65f820e21fdef4c9a50f8 Mon Sep 17 00:00:00 2001
From: Julio Perez <juperez999@hotmail.com>
Date: Mon, 14 Oct 2019 12:13:06 -0700
Subject: [PATCH 0739/1660] made changes to imports in test to pass cpu
 container tests

---
 tests/test_cudf.py | 3 ++-
 tests/test_cuml.py | 2 ++
 2 files changed, 4 insertions(+), 1 deletion(-)

diff --git a/tests/test_cudf.py b/tests/test_cudf.py
index ff658151..3679e13e 100644
--- a/tests/test_cudf.py
+++ b/tests/test_cudf.py
@@ -1,5 +1,4 @@
 import unittest
-import cudf as gd
 import pandas as pd
 
 from common import gpu_test
@@ -16,6 +15,7 @@ class TestCudf(unittest.TestCase):
  
     @gpu_test   
     def test_read_csv(self):
+        import cudf as gd
         cols = ['label'] + ['pixel%d'%i for i in range(784)]
         dtypes = ['int32' for i in cols]
         path = "/input/tests/data/train.csv"
@@ -28,6 +28,7 @@ def test_read_csv(self):
 
     @gpu_test
     def test_groupby(self):
+        import cudf as gd
         cols = ['label'] + ['pixel%d'%i for i in range(784)]
         dtypes = ['int32' for i in cols]
         path = "/input/tests/data/train.csv"
diff --git a/tests/test_cuml.py b/tests/test_cuml.py
index 1db73eb2..68c638e1 100644
--- a/tests/test_cuml.py
+++ b/tests/test_cuml.py
@@ -18,6 +18,8 @@ class TestCuml(unittest.TestCase):
 
     @gpu_test
     def test_linearn_classifier(self):
+        from cuml import LinearRegression as cuLinearRegression
+        import cudf as gd
         boston = datasets.load_boston()
         X, y = boston.data, boston.target
         df = pd.DataFrame(X,columns=['fea%d'%i for i in range(X.shape[1])])

From 450de6d8dadeed4e88e983ab25a0b279ea68d753 Mon Sep 17 00:00:00 2001
From: Julio Perez <juperez999@hotmail.com>
Date: Tue, 15 Oct 2019 17:16:25 -0700
Subject: [PATCH 0740/1660] removed unnecessary imports in test cuml

---
 tests/test_cuml.py | 2 --
 1 file changed, 2 deletions(-)

diff --git a/tests/test_cuml.py b/tests/test_cuml.py
index 68c638e1..86ae0f25 100644
--- a/tests/test_cuml.py
+++ b/tests/test_cuml.py
@@ -1,8 +1,6 @@
 import unittest
 
 from sklearn import datasets
-from cuml import LinearRegression as cuLinearRegression
-import cudf as gd
 import pandas as pd
 
 from common import gpu_test

From 2ebd6b39ee7896a97395c7cf0fa8deb5bfe8d43a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 16 Oct 2019 16:43:54 -0700
Subject: [PATCH 0741/1660] Revert "Merge pull request #595 from
 jperez999/master"

This reverts commit f84f30518c000c5923adbc93711915df7b6f53e1, reversing
changes made to e2f1f7b908b31fdf48f011e1591a6a0887218f7a.
---
 gpu.Dockerfile     |  4 ----
 test               |  2 +-
 tests/test_cudf.py | 43 -------------------------------------------
 tests/test_cuml.py | 28 ----------------------------
 4 files changed, 1 insertion(+), 76 deletions(-)
 delete mode 100644 tests/test_cudf.py
 delete mode 100644 tests/test_cuml.py

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 0daa1c20..cd8051c3 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -63,9 +63,5 @@ RUN pip install pycuda && \
     pip install pynvrtc && \
     /tmp/clean-layer.sh
 
-RUN conda install -c defaults -c nvidia -c rapidsai -c pytorch -c numba -c conda-forge numba=0.44.1 cudf=0.8 cuml=0.8 pandas python=3.6 cudatoolkit=10.0 &&\
-    conda clean -a -y &&\
-    /tmp/clean-layer.sh
-
 # Re-add TensorBoard Jupyter extension patch
 ADD patches/tensorboard/notebook.py /opt/conda/lib/python3.6/site-packages/tensorboard/notebook.py
diff --git a/test b/test
index 85ac2443..99453605 100755
--- a/test
+++ b/test
@@ -28,7 +28,7 @@ while :; do
             ;;
         -g|--gpu)
             IMAGE_TAG='kaggle/python-gpu-build'
-            ADDITONAL_OPTS='-v /tmp/empty_dir:/usr/local/cuda/lib64/stubs:ro --runtime nvidia'
+            ADDITONAL_OPTS='-v /tmp/empty_dir:/usr/local/cuda/lib64/stubs:ro'
             ;;
         -i|--image)
             if [[ -z $2 ]]; then
diff --git a/tests/test_cudf.py b/tests/test_cudf.py
deleted file mode 100644
index 3679e13e..00000000
--- a/tests/test_cudf.py
+++ /dev/null
@@ -1,43 +0,0 @@
-import unittest
-import pandas as pd
-
-from common import gpu_test
-
-# For full unit tests of rapids cudf, please run the following commands after building the docker.
-# docker run --runtime nvidia --rm -it kaggle/python-gpu-build /bin/bash
-# export LD_LIBRARY_PATH=/usr/local/cuda/lib64
-# python -c "import cudf as gd"
-# conda uninstall --yes pytest && pip install -U pytest
-# cd /opt/conda/lib/python3.6/site-packages/cudf/tests
-# pytest -v --ignore=test_sparse_df.py --ignore=test_orc.py
-
-class TestCudf(unittest.TestCase):
- 
-    @gpu_test   
-    def test_read_csv(self):
-        import cudf as gd
-        cols = ['label'] + ['pixel%d'%i for i in range(784)]
-        dtypes = ['int32' for i in cols]
-        path = "/input/tests/data/train.csv"
-        data_gd = gd.read_csv(path,names=cols,dtype=dtypes,skiprows=1)
-        data_pd = pd.read_csv(path)
-        self.assertEqual(100, len(data_gd.index))
-        for col in data_gd.columns:
-            col_equal = data_pd[col].values == data_gd[col].to_pandas().values
-            self.assertEqual(True, min(col_equal))
-
-    @gpu_test
-    def test_groupby(self):
-        import cudf as gd
-        cols = ['label'] + ['pixel%d'%i for i in range(784)]
-        dtypes = ['int32' for i in cols]
-        path = "/input/tests/data/train.csv"
-        data_gd = gd.read_csv(path,names=cols,dtype=dtypes,skiprows=1)
-
-        dg = data_gd.groupby('pixel0').agg({'label':['mean','max','min']})
-        dg.columns = ['%s_label'%s for s in ['mean','max','min']]
-        dg = dg.reset_index()
-        dg = dg.to_pandas() 
-        self.assertEqual(4.22, dg.mean_label.values[0])
-        self.assertEqual(9, dg.max_label.values[0])
-        self.assertEqual(0, dg.min_label.values[0])
diff --git a/tests/test_cuml.py b/tests/test_cuml.py
deleted file mode 100644
index 86ae0f25..00000000
--- a/tests/test_cuml.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import unittest
-
-from sklearn import datasets
-import pandas as pd
-
-from common import gpu_test
-
-# For full unit tests of rapids cuml, please run the following commands after building the docker.
-# docker run --runtime nvidia --rm -it kaggle/python-gpu-build /bin/bash
-# export LD_LIBRARY_PATH=/usr/local/cuda/lib64
-# conda uninstall --yes pytest && pip install -U pytest
-# cd /opt/conda/lib/python3.6/site-packages/cuml/test
-# pytest -v
-
-class TestCuml(unittest.TestCase):
-
-    @gpu_test
-    def test_linearn_classifier(self):
-        from cuml import LinearRegression as cuLinearRegression
-        import cudf as gd
-        boston = datasets.load_boston()
-        X, y = boston.data, boston.target
-        df = pd.DataFrame(X,columns=['fea%d'%i for i in range(X.shape[1])])
-        gdf = gd.from_pandas(df)
-        lr = cuLinearRegression(fit_intercept=True,
-                               normalize=False,
-                               algorithm='svd')
-        lr.fit(gdf,y)

From 0d1b9cc04517eebd16e1c9e1165062ce662775a4 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 21 Oct 2019 09:51:09 -0700
Subject: [PATCH 0742/1660] pin ipykernel

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 833d9611..fe17ddcf 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -378,7 +378,8 @@ RUN pip install bcolz && \
     pip install decorator && \
     pip install entrypoints && \
     pip install html5lib && \
-    pip install ipykernel && \
+    # Latest version breaks nbconvert: https://github.com/ipython/ipykernel/issues/422
+    pip install ipykernel==5.1.1 && \
     pip install ipython && \
     pip install ipython-genutils && \
     pip install ipywidgets && \

From bf663eadf46521f468b6defb303279f75f95e634 Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@google.com>
Date: Thu, 24 Oct 2019 16:20:06 -0600
Subject: [PATCH 0743/1660] pin google-cloud-automl version to 0.6.0

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index fe17ddcf..19921b39 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -342,7 +342,7 @@ RUN pip install --upgrade cython && \
     pip install annoy==1.15.2 && \
     # Need to use CountEncoder from category_encoders before it's officially released
     pip install git+https://github.com/scikit-learn-contrib/categorical-encoding.git && \
-    pip install google-cloud-automl && \
+    pip install google-cloud-automl=0.6.0 && \
     # Newer version crashes (latest = 1.14.0) when running tensorflow.
     # python -c "from google.cloud import bigquery; import tensorflow". This flow is common because bigquery is imported in kaggle_gcp.py
     # which is loaded at startup.

From 4eb7208017cd459fbe6c39b89018ee53fb50ed40 Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@google.com>
Date: Fri, 25 Oct 2019 13:54:07 -0600
Subject: [PATCH 0744/1660] Pin pytorch/audio and google-cloud-automl to
 previous working versions

---
 Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 19921b39..63a257d4 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -193,7 +193,7 @@ RUN pip install scipy && \
     # PyTorch Audio
     apt-get install -y sox libsox-dev libsox-fmt-all && \
     pip install cffi && \
-    pip install git+git://github.com/pytorch/audio.git && \
+    pip install git+git://github.com/pytorch/audio.git@ce1f8aafe63f7d579c74ce54d2a85d452d55c881 && \
     /tmp/clean-layer.sh
 
 # vtk with dependencies
@@ -342,7 +342,7 @@ RUN pip install --upgrade cython && \
     pip install annoy==1.15.2 && \
     # Need to use CountEncoder from category_encoders before it's officially released
     pip install git+https://github.com/scikit-learn-contrib/categorical-encoding.git && \
-    pip install google-cloud-automl=0.6.0 && \
+    pip install google-cloud-automl==0.6.0 && \
     # Newer version crashes (latest = 1.14.0) when running tensorflow.
     # python -c "from google.cloud import bigquery; import tensorflow". This flow is common because bigquery is imported in kaggle_gcp.py
     # which is loaded at startup.

From 2b6f242360daca308457233d3c3ddd8ce00ecf62 Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@google.com>
Date: Fri, 25 Oct 2019 14:53:51 -0600
Subject: [PATCH 0745/1660] Add a test case that would have caught the
 google-cloud-automl breakage.

---
 tests/test_automl.py | 15 ++++++++++++---
 1 file changed, 12 insertions(+), 3 deletions(-)

diff --git a/tests/test_automl.py b/tests/test_automl.py
index 5b1932f4..1cb1e110 100644
--- a/tests/test_automl.py
+++ b/tests/test_automl.py
@@ -19,7 +19,7 @@ def test_version(self):
         self.assertGreaterEqual(version, 0.5);
 
     class FakeClient:
-        def __init__(self, credentials=None):
+        def __init__(self, credentials=None, **kwargs):
             self.credentials = credentials
 
     @patch("google.cloud.automl_v1beta1.AutoMlClient", new=FakeClient)
@@ -34,7 +34,6 @@ def test_user_provided_credentials(self):
             self.assertNotIsInstance(client.credentials, KaggleKernelCredentials)
             self.assertIsNotNone(client.credentials)
 
-
     def test_tables_gcs_client(self):
         # The GcsClient can't currently be monkeypatched for default
         # credentials because it requires a project which can't be set.
@@ -44,6 +43,16 @@ def test_tables_gcs_client(self):
         tables_gcs_client = automl.GcsClient(client=gcs_client)
         self.assertIs(tables_gcs_client.client, gcs_client)
 
+    @patch("google.cloud.automl_v1beta1.gapic.auto_ml_client.AutoMlClient", new=FakeClient)
+    def test_tables_client_credentials(self):
+        credentials = _make_credentials()
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'AUTOML')
+        with env:
+            init_automl()
+            tables_client = automl.TablesClient(credentials=credentials)
+            self.assertEqual(tables_client.auto_ml_client.credentials, credentials)
 
     @patch("google.cloud.automl_v1beta1.AutoMlClient", new=FakeClient)
     def test_default_credentials_automl_client(self):
@@ -80,7 +89,7 @@ def test_default_credentials_prediction_client(self):
     def test_monkeypatching_idempotent(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'GCS')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'AUTOML')
         with env:
             client1 = automl.AutoMlClient.__init__
             init_automl()

From 3ca3ae3209de00370fae332ea1e3bf33ae97b76b Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@google.com>
Date: Fri, 25 Oct 2019 15:23:38 -0600
Subject: [PATCH 0746/1660] Added todos

---
 Dockerfile | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 63a257d4..88e61c67 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -193,6 +193,10 @@ RUN pip install scipy && \
     # PyTorch Audio
     apt-get install -y sox libsox-dev libsox-fmt-all && \
     pip install cffi && \
+    # TODO(b/143372552): Unpin when pytorch/audio is compatible with the version
+    # of pytorch-cpu installed through conda above. A better solution would be to
+    # install torchaudio-cpu in the conda install above when there is a
+    # torchaudio-cpu version that doesn't conflict with pytorch-cpu
     pip install git+git://github.com/pytorch/audio.git@ce1f8aafe63f7d579c74ce54d2a85d452d55c881 && \
     /tmp/clean-layer.sh
 
@@ -342,6 +346,8 @@ RUN pip install --upgrade cython && \
     pip install annoy==1.15.2 && \
     # Need to use CountEncoder from category_encoders before it's officially released
     pip install git+https://github.com/scikit-learn-contrib/categorical-encoding.git && \
+    # TODO(b/143373325) Revert to 0.6.0 to avoid regression in 0.7.0. Go back to
+    # latest when 0.8.0 is released.
     pip install google-cloud-automl==0.6.0 && \
     # Newer version crashes (latest = 1.14.0) when running tensorflow.
     # python -c "from google.cloud import bigquery; import tensorflow". This flow is common because bigquery is imported in kaggle_gcp.py

From 749d798b11dafb4697ed5bea8c54fab958efb494 Mon Sep 17 00:00:00 2001
From: tieonlinux <42843228+tieonlinux@users.noreply.github.com>
Date: Sun, 27 Oct 2019 13:10:52 +0100
Subject: [PATCH 0747/1660] Updated pytorch conda package name for cpu version

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 88e61c67..3d85c3d6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -189,7 +189,7 @@ RUN pip install scipy && \
     # PyTorch
     export CXXFLAGS="-std=c++11" && \
     export CFLAGS="-std=c99" && \
-    conda install -y pytorch-cpu torchvision-cpu -c pytorch && \
+    conda install -y pytorch torchvision cpuonly -c pytorch && \
     # PyTorch Audio
     apt-get install -y sox libsox-dev libsox-fmt-all && \
     pip install cffi && \

From dfb8b2bd6aa2987e895400c63290d1069d8e0bd3 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 23 Oct 2019 16:22:17 -0700
Subject: [PATCH 0748/1660] Fix tensorflow-version Docker LABEL

---
 Dockerfile | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 88e61c67..6d5701e6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -4,6 +4,9 @@ ARG TENSORFLOW_VERSION=2.0.0
 FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py36 as tensorflow_whl
 FROM continuumio/anaconda3:${BASE_TAG}
 
+# We need to redefine TENSORFLOW_VERSION here to get the default ARG value defined above the FROM instruction.
+# See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
+ARG TENSORFLOW_VERSION
 ARG GIT_COMMIT=unknown
 ARG BUILD_DATE=unknown
 

From a70e0abdf409d770ddbb9faf3cc66c26fc03b076 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 28 Oct 2019 17:54:56 +0000
Subject: [PATCH 0749/1660] fix fbproject tests following new pystan version

---
 tests/test_fbprophet.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/test_fbprophet.py b/tests/test_fbprophet.py
index 69caa984..ecb69697 100644
--- a/tests/test_fbprophet.py
+++ b/tests/test_fbprophet.py
@@ -13,4 +13,4 @@ def test_fit(self):
         })
 
         forecaster = Prophet(mcmc_samples=1)
-        forecaster.fit(train)
+        forecaster.fit(train, control={'adapt_engaged': False})

From 497781a65e08d4fcccb27058213a7631c003c48a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 29 Oct 2019 10:25:41 -0700
Subject: [PATCH 0750/1660] Moving ARG and LABELS at the bottom of the file.

If an ARG is changed, all the layers following it will be invalidated.
This prevent the use of the docker cache for quickly iterating through
changes because a change in the git commit hash or the date (often)
invalidate most layers and forces a build from scratch.
---
 Dockerfile | 26 +++++++++++++-------------
 1 file changed, 13 insertions(+), 13 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 6d5701e6..34a226a6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -4,19 +4,6 @@ ARG TENSORFLOW_VERSION=2.0.0
 FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py36 as tensorflow_whl
 FROM continuumio/anaconda3:${BASE_TAG}
 
-# We need to redefine TENSORFLOW_VERSION here to get the default ARG value defined above the FROM instruction.
-# See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
-ARG TENSORFLOW_VERSION
-ARG GIT_COMMIT=unknown
-ARG BUILD_DATE=unknown
-
-LABEL git-commit=$GIT_COMMIT
-LABEL build-date=$BUILD_DATE
-LABEL tensorflow-version=$TENSORFLOW_VERSION
-
-# Correlate current release with the git hash inside the kernel editor by running `!cat /etc/git_commit`.
-RUN echo "$GIT_COMMIT" > /etc/git_commit && echo "$BUILD_DATE" > /etc/build_date
-
 ADD clean-layer.sh  /tmp/clean-layer.sh
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
 
@@ -565,3 +552,16 @@ ADD patches/tensorboard/notebook.py /opt/conda/lib/python3.6/site-packages/tenso
 
 # Set backend for matplotlib
 ENV MPLBACKEND "agg"
+
+# We need to redefine TENSORFLOW_VERSION here to get the default ARG value defined above the FROM instruction.
+# See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
+ARG TENSORFLOW_VERSION
+ARG GIT_COMMIT=unknown
+ARG BUILD_DATE=unknown
+
+LABEL git-commit=$GIT_COMMIT
+LABEL build-date=$BUILD_DATE
+LABEL tensorflow-version=$TENSORFLOW_VERSION
+
+# Correlate current release with the git hash inside the kernel editor by running `!cat /etc/git_commit`.
+RUN echo "$GIT_COMMIT" > /etc/git_commit && echo "$BUILD_DATE" > /etc/build_date
\ No newline at end of file

From ebd0b64ea14f66477a89127ab4735012df1d6fd5 Mon Sep 17 00:00:00 2001
From: tieonlinux <42843228+tieonlinux@users.noreply.github.com>
Date: Thu, 31 Oct 2019 18:35:13 +0100
Subject: [PATCH 0751/1660] remove pytorch cpu version from gpu dockerfile

---
 gpu.Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index e957870e..c2a8450a 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -49,7 +49,7 @@ COPY --from=tensorflow_whl /tmp/tensorflow_gpu/*.whl /tmp/tensorflow_gpu/
 RUN pip uninstall -y tensorflow && \
     pip install /tmp/tensorflow_gpu/tensorflow*.whl && \
     rm -rf /tmp/tensorflow_gpu && \
-    conda remove --force -y pytorch-cpu torchvision-cpu && \
+    conda remove --force -y pytorch torchvision cpuonly && \
     conda install -y pytorch torchvision cudatoolkit=10.0 -c pytorch && \
     pip uninstall -y mxnet && \
     # b/126259508 --no-deps prevents numpy from being downgraded.

From 8f4f26391afcbb13aac889f84bda2babf6eb0136 Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@google.com>
Date: Tue, 5 Nov 2019 22:19:28 -0700
Subject: [PATCH 0752/1660] Advance google-cloud-automl to the latest version
 (0.7.1) now that the fix has been released

---
 Dockerfile | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 34a226a6..ac5836f3 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -336,9 +336,7 @@ RUN pip install --upgrade cython && \
     pip install annoy==1.15.2 && \
     # Need to use CountEncoder from category_encoders before it's officially released
     pip install git+https://github.com/scikit-learn-contrib/categorical-encoding.git && \
-    # TODO(b/143373325) Revert to 0.6.0 to avoid regression in 0.7.0. Go back to
-    # latest when 0.8.0 is released.
-    pip install google-cloud-automl==0.6.0 && \
+    pip install google-cloud-automl && \
     # Newer version crashes (latest = 1.14.0) when running tensorflow.
     # python -c "from google.cloud import bigquery; import tensorflow". This flow is common because bigquery is imported in kaggle_gcp.py
     # which is loaded at startup.

From 6c38b61d8eee0cc6b6a5cbfe7f9633404666c726 Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@google.com>
Date: Tue, 5 Nov 2019 22:20:18 -0700
Subject: [PATCH 0753/1660] Fix epoch numbers on Catalyst test now that
 numbering is one-based

---
 tests/test_catalyst.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/test_catalyst.py b/tests/test_catalyst.py
index 8db2a95e..0c7d7972 100644
--- a/tests/test_catalyst.py
+++ b/tests/test_catalyst.py
@@ -146,7 +146,7 @@ def test_mnist(self):
         
         metrics = Safict.load("./logs/checkpoints/_metrics.json")
         metrics_flag1 = \
-            metrics.get("train.2", "loss") < metrics.get("train.0", "loss")
+            metrics.get("train.3", "loss") < metrics.get("train.1", "loss")
         metrics_flag2 = metrics.get("best", "loss") < 0.35
         self.assertTrue(metrics_flag1)
         self.assertTrue(metrics_flag2)

From a9c966b36ceaa35b46a4d17656acc7a19b60df07 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 15 Nov 2019 10:32:49 -0800
Subject: [PATCH 0754/1660] pin pyproj

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 188c54fd..43b46260 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -116,7 +116,8 @@ ENV LD_LIBRARY_PATH=/opt/conda/lib
 RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
     pip install matplotlib && \
     pip install pyshp && \
-    pip install pyproj && \
+    # b/144569992 pyproj 2.4.1 is failing to install because of missing METADATA file.
+    pip install pyproj==2.4.0 && \
     conda install basemap && \
     # sasl is apparently an ibis dependency
     apt-get -y install libsasl2-dev && \

From b0fa99cfcc4d3a993d1dba77e03dcfe6c9635cd7 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 18 Nov 2019 10:58:25 -0800
Subject: [PATCH 0755/1660] disable tensorboard

---
 Dockerfile     | 11 ++++++-----
 gpu.Dockerfile |  3 ++-
 2 files changed, 8 insertions(+), 6 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 43b46260..e833738d 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -543,11 +543,12 @@ ADD patches/sitecustomize.py /root/.local/lib/python3.6/site-packages/sitecustom
 
 # TensorBoard Jupyter extension. Should be replaced with TensorBoard's provided magic once we have
 # worker tunneling support in place.
-ENV JUPYTER_CONFIG_DIR "/root/.jupyter/"
-RUN pip install jupyter_tensorboard && \
-    jupyter serverextension enable jupyter_tensorboard && \
-    jupyter tensorboard enable
-ADD patches/tensorboard/notebook.py /opt/conda/lib/python3.6/site-packages/tensorboard/notebook.py
+# b/139212522 re-enable TensorBoard once solution for slowdown is implemented.
+# ENV JUPYTER_CONFIG_DIR "/root/.jupyter/"
+# RUN pip install jupyter_tensorboard && \
+#     jupyter serverextension enable jupyter_tensorboard && \
+#     jupyter tensorboard enable
+# ADD patches/tensorboard/notebook.py /opt/conda/lib/python3.6/site-packages/tensorboard/notebook.py
 
 # Set backend for matplotlib
 ENV MPLBACKEND "agg"
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index c2a8450a..e4c08d47 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -63,4 +63,5 @@ RUN pip install pycuda && \
     /tmp/clean-layer.sh
 
 # Re-add TensorBoard Jupyter extension patch
-ADD patches/tensorboard/notebook.py /opt/conda/lib/python3.6/site-packages/tensorboard/notebook.py
+# b/139212522 re-enable TensorBoard once solution for slowdown is implemented.
+# ADD patches/tensorboard/notebook.py /opt/conda/lib/python3.6/site-packages/tensorboard/notebook.py

From 44ce0e15176055ed6b33948802c2db44ce2d812d Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 18 Nov 2019 13:35:26 -0800
Subject: [PATCH 0756/1660] disable related test

---
 tests/test_jupytertensorboard.py | 39 ++++++++++++++++----------------
 1 file changed, 20 insertions(+), 19 deletions(-)

diff --git a/tests/test_jupytertensorboard.py b/tests/test_jupytertensorboard.py
index a76c8a4c..46f17f08 100644
--- a/tests/test_jupytertensorboard.py
+++ b/tests/test_jupytertensorboard.py
@@ -2,24 +2,25 @@
 import subprocess
 import unittest
 
-class TestJupyterTensorBoard(unittest.TestCase):
-    def test_jupytertensorboard(self):
-        file_path = os.path.realpath(__file__)
-        ipynb_path = os.path.join(
-            os.path.dirname(file_path), 
-            'data',
-            'jupyter_tensorboard.ipynb',
-        )
+# b/139212522 re-enable TensorBoard once solution for slowdown is implemented.
+# class TestJupyterTensorBoard(unittest.TestCase):   
+#     def test_jupytertensorboard(self):
+#         file_path = os.path.realpath(__file__)
+#         ipynb_path = os.path.join(
+#             os.path.dirname(file_path), 
+#             'data',
+#             'jupyter_tensorboard.ipynb',
+#         )
 
-        result = subprocess.run([
-                'jupyter',
-                'nbconvert',
-                '--execute',
-                '--stdout',
-                ipynb_path,
-            ],
-            stdout=subprocess.PIPE
-        )
+#         result = subprocess.run([
+#                 'jupyter',
+#                 'nbconvert',
+#                 '--execute',
+#                 '--stdout',
+#                 ipynb_path,
+#             ],
+#             stdout=subprocess.PIPE
+#         )
 
-        self.assertTrue(result.returncode == 0)
-        self.assertTrue(b'JUPYTER_TENSORBOARD_TEST_MARKER' in result.stdout)
+#         self.assertTrue(result.returncode == 0)
+#         self.assertTrue(b'JUPYTER_TENSORBOARD_TEST_MARKER' in result.stdout)

From ab1c52c7495c1869986b2eb4e638f715f4d79b6b Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 25 Nov 2019 18:39:48 +0000
Subject: [PATCH 0757/1660] improve gcloud test assertions

---
 tests/test_gcloud.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/tests/test_gcloud.py b/tests/test_gcloud.py
index 4396be7a..e9375e1d 100644
--- a/tests/test_gcloud.py
+++ b/tests/test_gcloud.py
@@ -11,5 +11,5 @@ def test_version(self):
             stdout=subprocess.PIPE,
         )
 
-        self.assertTrue(result.returncode == 0)
-        self.assertTrue(b'Google Cloud SDK' in result.stdout)
+        self.assertEqual(0, result.returncode)
+        self.assertIn(b'Google Cloud SDK', result.stdout)

From f22573acea1c73de051f6ebc32365384bc8fa52e Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 25 Nov 2019 22:22:23 +0000
Subject: [PATCH 0758/1660] check output since gcloud

---
 tests/test_gcloud.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/tests/test_gcloud.py b/tests/test_gcloud.py
index e9375e1d..0ea7815a 100644
--- a/tests/test_gcloud.py
+++ b/tests/test_gcloud.py
@@ -6,10 +6,9 @@ class TestGcloud(unittest.TestCase):
     def test_version(self):
         result = subprocess.run([
                 'gcloud',
-                '--version',
+                'version',
             ],
             stdout=subprocess.PIPE,
         )
 
-        self.assertEqual(0, result.returncode)
         self.assertIn(b'Google Cloud SDK', result.stdout)

From e43d1ad762bcc207eb0ae85725826ddf02b78632 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 26 Nov 2019 00:05:38 +0000
Subject: [PATCH 0759/1660] print result of gcloud version to help debugging

---
 tests/test_gcloud.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/tests/test_gcloud.py b/tests/test_gcloud.py
index 0ea7815a..ffadad60 100644
--- a/tests/test_gcloud.py
+++ b/tests/test_gcloud.py
@@ -9,6 +9,10 @@ def test_version(self):
                 'version',
             ],
             stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
         )
 
+        print("gloud version: ", result)
+
+        self.assertEqual(0, result.returncode)
         self.assertIn(b'Google Cloud SDK', result.stdout)

From 36f8114ab92b0d401bccf61ed6c4bf05755c8346 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 27 Nov 2019 01:17:33 +0000
Subject: [PATCH 0760/1660] pin rtree

---
 Dockerfile           | 5 +++--
 tests/test_gcloud.py | 2 +-
 2 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index e833738d..ae4b99f0 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -483,7 +483,8 @@ RUN pip install flashtext && \
     pip install plotly_express && \
     pip install albumentations && \
     pip install catalyst && \
-    pip install rtree && \
+    # b/145133331: latest version is causing issue with gcloud.
+    pip install rtree==0.8.3 && \
     pip install osmnx && \
     apt-get -y install libspatialindex-dev && \
     pip install pytorch-ignite && \
@@ -564,4 +565,4 @@ LABEL build-date=$BUILD_DATE
 LABEL tensorflow-version=$TENSORFLOW_VERSION
 
 # Correlate current release with the git hash inside the kernel editor by running `!cat /etc/git_commit`.
-RUN echo "$GIT_COMMIT" > /etc/git_commit && echo "$BUILD_DATE" > /etc/build_date
\ No newline at end of file
+RUN echo "$GIT_COMMIT" > /etc/git_commit && echo "$BUILD_DATE" > /etc/build_date
diff --git a/tests/test_gcloud.py b/tests/test_gcloud.py
index ffadad60..26e921e3 100644
--- a/tests/test_gcloud.py
+++ b/tests/test_gcloud.py
@@ -6,7 +6,7 @@ class TestGcloud(unittest.TestCase):
     def test_version(self):
         result = subprocess.run([
                 'gcloud',
-                'version',
+                '--version',
             ],
             stdout=subprocess.PIPE,
             stderr=subprocess.PIPE,

From eaf0f734493d83b64860db98808f38660718ea0a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 27 Nov 2019 22:01:32 +0000
Subject: [PATCH 0761/1660] fix qgrid test

---
 tests/{qgrid.py => test_qgrid.py} | 13 +++++++------
 1 file changed, 7 insertions(+), 6 deletions(-)
 rename tests/{qgrid.py => test_qgrid.py} (62%)

diff --git a/tests/qgrid.py b/tests/test_qgrid.py
similarity index 62%
rename from tests/qgrid.py
rename to tests/test_qgrid.py
index c2af74ce..e97ef2a1 100644
--- a/tests/qgrid.py
+++ b/tests/test_qgrid.py
@@ -1,15 +1,16 @@
 import unittest
+
+import numpy as np
 import pandas as pd
+
 from qgrid import QgridWidget
 
+
 class TestQgrid(unittest.TestCase):
-    def test_nans():
+    def test_nans(self):
         df = pd.DataFrame([(pd.Timestamp('2017-02-02'), np.nan),
                            (4, 2),
                            ('foo', 'bar')])
         view = QgridWidget(df=df)
-        view._handle_qgrid_msg_helper({
-            'type': 'change_sort',
-            'sort_field': 1,
-            'sort_ascending': True
-        })
+        
+        self.assertIsNotNone(view.get_changed_df())

From 5be890a350fca2ea79384ddc0ffaf8bd412ed5d8 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 27 Nov 2019 23:30:13 +0000
Subject: [PATCH 0762/1660] Build new TF whl for 2.1rc-0

---
 tensorflow-whl/CHANGELOG.md | 1 +
 tensorflow-whl/Dockerfile   | 2 +-
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index 52ad753b..861698b0 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -7,3 +7,4 @@
 1.14.0-py36: TensorFlow 1.14.0 with Python 3.6
 2.0.0-rc1-py36: TensorFlow 2.0.0 RC1 with Python 3.6
 2.0.0-py36: TensorFlow 2.0.0 with Python 3.6
+v2.1.0-rc0-py36: TensorFlow 2.0.1-rc0 with Python 3.6
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 09df7598..105cc107 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -62,7 +62,7 @@ RUN apt-get install -y gnupg zip openjdk-8-jdk && \
 RUN cd /usr/local/src && \
     git clone https://github.com/tensorflow/tensorflow && \
     cd tensorflow && \
-    git checkout r2.0 && \
+    git checkout git checkout tags/v2.1.0-rc0 && \
     pip install keras_applications --no-deps && \
     pip install keras_preprocessing --no-deps
 

From 2ed2083ee71932298bca37700a769efaf14f5a97 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 28 Nov 2019 00:36:56 +0000
Subject: [PATCH 0763/1660] fix git checkout command

---
 tensorflow-whl/Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 105cc107..f6451f41 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -62,7 +62,7 @@ RUN apt-get install -y gnupg zip openjdk-8-jdk && \
 RUN cd /usr/local/src && \
     git clone https://github.com/tensorflow/tensorflow && \
     cd tensorflow && \
-    git checkout git checkout tags/v2.1.0-rc0 && \
+    git checkout tags/v2.1.0-rc0 && \
     pip install keras_applications --no-deps && \
     pip install keras_preprocessing --no-deps
 

From 02b589060288245101df473932df6db017467415 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 28 Nov 2019 01:46:38 +0000
Subject: [PATCH 0764/1660] bump up bazel version

---
 tensorflow-whl/Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index f6451f41..abb9e0c2 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -49,7 +49,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
 RUN conda install -y python=3.6.6 && pip install --upgrade pip && pip install numpy
 
 # The tested build configurations for Tensorflow 1.14 uses Bazel 0.24.1: https://www.tensorflow.org/install/source#tested_build_configurations
-ENV BAZEL_VERSION=0.24.1
+ENV BAZEL_VERSION=0.27.1
 RUN apt-get install -y gnupg zip openjdk-8-jdk && \
     apt-get install -y --no-install-recommends \
       bash-completion \

From db64ca987fa01e74aaa70541322db44c5a518066 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 28 Nov 2019 09:34:49 -0800
Subject: [PATCH 0765/1660] Fix typo

---
 tensorflow-whl/CHANGELOG.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index 861698b0..d913e764 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -7,4 +7,4 @@
 1.14.0-py36: TensorFlow 1.14.0 with Python 3.6
 2.0.0-rc1-py36: TensorFlow 2.0.0 RC1 with Python 3.6
 2.0.0-py36: TensorFlow 2.0.0 with Python 3.6
-v2.1.0-rc0-py36: TensorFlow 2.0.1-rc0 with Python 3.6
+2.1.0-rc0-py36: TensorFlow 2.0.1-rc0 with Python 3.6

From 4b0fcf83ab653eec8ff130834c8de2de7a19182f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 28 Nov 2019 17:43:45 +0000
Subject: [PATCH 0766/1660] Install TF 2.1.0-rc0

---
 Dockerfile     | 2 +-
 gpu.Dockerfile | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index ae4b99f0..9e749f73 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,5 +1,5 @@
 ARG BASE_TAG=2019.03
-ARG TENSORFLOW_VERSION=2.0.0
+ARG TENSORFLOW_VERSION=2.1.0-rc0-py36
 
 FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py36 as tensorflow_whl
 FROM continuumio/anaconda3:${BASE_TAG}
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index e4c08d47..5fee9e38 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=staging
 
 FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04 AS nvidia
-FROM gcr.io/kaggle-images/python-tensorflow-whl:2.0.0-py36 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:2.1.0-rc0-py36 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh

From 7d38aed4414a107c934dc7fa4f99bb63fbe2cbdb Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 28 Nov 2019 18:46:55 +0000
Subject: [PATCH 0767/1660] fix tf version

---
 Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 9e749f73..bb553faa 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=2019.03
-ARG TENSORFLOW_VERSION=2.1.0-rc0-py36
+ARG TENSORFLOW_VERSION=2.1.0
 
-FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py36 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-rc0-py36 as tensorflow_whl
 FROM continuumio/anaconda3:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh

From 6b330126423fccd9ffd528b39011416ae8ebcc27 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 28 Nov 2019 21:42:06 +0000
Subject: [PATCH 0768/1660] install latest version of pandas, remove pin for
 pyarrow & pytext-nlp

---
 Dockerfile | 12 +++++-------
 1 file changed, 5 insertions(+), 7 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index bb553faa..484ecba5 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -393,8 +393,9 @@ RUN pip install bcolz && \
     pip install notebook==5.5.0 && \
     pip install olefile && \
     pip install opencv-python && \
-    # b/124184516: tsfresh is not yet compatible with pandas 0.24.0
-    pip install pandas==0.23.4 && \
+    # tsfresh doesn't work with pandas 0.24, requires >= 0.25: https://github.com/blue-yonder/tsfresh/blob/0ef9123d68e3544ef0217caf83f63f93ad837a61/requirements.txt#L3
+    # b/145358669 remove --upgrade once we upgrade base image which will include pandas >= 0.25 
+    pip install --upgrade pandas && \
     pip install pandas_summary && \
     pip install pandocfilters && \
     pip install pexpect && \
@@ -419,9 +420,7 @@ RUN pip install bcolz && \
     pip install wcwidth && \
     pip install webencodings && \
     pip install widgetsnbextension && \
-    # Latest version of pyarrow conflicts with pandas
-    # https://github.com/pandas-dev/pandas/issues/23053
-    pip install pyarrow==0.10.0 && \
+    pip install pyarrow && \
     pip install feather-format && \
     pip install fastai && \
     pip install torchtext && \
@@ -472,8 +471,7 @@ RUN pip install flashtext && \
     pip install ggplot && \
     pip install cesium && \
     pip install rgf_python && \
-    # b/124184516: latest version forces the use of incompatible pandas>0.24
-    pip install pytext-nlp==0.1.2 && \
+    pip install pytext-nlp && \
     pip install tsfresh && \
     pip install pymagnitude && \
     pip install pykalman && \

From 9ba7595b304e08f8e70a2495a1bacd0519e1a021 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 29 Nov 2019 19:20:36 +0000
Subject: [PATCH 0769/1660] remove numpy pin

---
 Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 484ecba5..688604e2 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -131,8 +131,8 @@ RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
     pip install cartopy && \
     # MXNet
     pip install mxnet && \
-    # b/140423854 v1.17 prints annoying deprecation warning messages with TensorFlow 1.14.0. Remove once we upgrade to TF 1.14.1 or 2.x
-    pip install numpy==1.16.4 && \
+    # b/145358669 remove --upgrade once we upgrade base image which will include numpy >= 1.17
+    pip install --upgrade numpy && \
     pip install gluonnlp && \
     pip install gluoncv && \
     # h2o (requires java)

From cd5d27949c3bec1bf7c757101facbedf90a0a041 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 29 Nov 2019 21:53:14 +0000
Subject: [PATCH 0770/1660] add annoy test

---
 tests/test_annoy.py | 11 +++++++++++
 1 file changed, 11 insertions(+)
 create mode 100644 tests/test_annoy.py

diff --git a/tests/test_annoy.py b/tests/test_annoy.py
new file mode 100644
index 00000000..93b7d0c2
--- /dev/null
+++ b/tests/test_annoy.py
@@ -0,0 +1,11 @@
+import unittest
+
+from annoy import AnnoyIndex
+
+
+class TestAnnoy(unittest.TestCase):
+    def test_tree(self):
+        t = AnnoyIndex(5, 'angular')
+        t.add_item(1, [1,2,3,4,5])
+
+        self.assertTrue(t.build(1))

From dcf1c43733efa02697e997c84ca8ac324a781344 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 29 Nov 2019 22:47:28 +0000
Subject: [PATCH 0771/1660] add --base flag to diff script

---
 diff | 21 +++++++++++++++++++--
 1 file changed, 19 insertions(+), 2 deletions(-)

diff --git a/diff b/diff
index bcdaf003..966d19be 100755
--- a/diff
+++ b/diff
@@ -8,13 +8,15 @@ Compare a given Docker image package versions against the prod image.
 
 Options:
     -g, --gpu       Compare GPU images.
-    -t, --target    The image to diff against the prod image.
+    -b, --base      The base image to diff against.
+    -t, --target    The image to diff against the base image.
                     Default is the locally built image.
 EOF
 }
 
 
 BASE_IMAGE_TAG='gcr.io/kaggle-images/python:latest'
+BASE_IMAGE_TAG_OVERRIDE=''
 TARGET_IMAGE_TAG='kaggle/python-build'
 TARGET_IMAGE_TAG_OVERRIDE=''
 
@@ -28,6 +30,15 @@ while :; do
             BASE_IMAGE_TAG='gcr.io/kaggle-private-byod/python:latest'
             TARGET_IMAGE_TAG='kaggle/python-gpu-build'
             ;;
+        -b|--base)
+            if [[ -z "$2" ]]; then
+                usage
+                printf 'ERROR: No IMAGE specified after the %s flag.\n' "$1" >&2
+                exit
+            fi
+            BASE_IMAGE_TAG_OVERRIDE="$2"
+            shift # skip the flag value
+            ;;
         -t|--target)
             if [[ -z "$2" ]]; then
                 usage
@@ -49,6 +60,10 @@ while :; do
     shift
 done
 
+if [[ -n "$BASE_IMAGE_TAG_OVERRIDE" ]]; then
+    BASE_IMAGE_TAG="$BASE_IMAGE_TAG_OVERRIDE"
+fi
+
 if [[ -n "$TARGET_IMAGE_TAG_OVERRIDE" ]]; then
     TARGET_IMAGE_TAG="$TARGET_IMAGE_TAG_OVERRIDE"
 fi
@@ -59,7 +74,9 @@ readonly TARGET_IMAGE_TAG
 echo "Base: $BASE_IMAGE_TAG"
 echo "Target: $TARGET_IMAGE_TAG"
 
-docker pull "$BASE_IMAGE_TAG"
+if [[ "$BASE_IMAGE_TAG" == "gcr.io/"* ]]; then
+    docker pull "$BASE_IMAGE_TAG"
+fi
 
 CMDS=('dpkg-query --show -f "${Package}==${Version}\n"' 'pip freeze')
 for cmd in "${CMDS[@]}"; do

From 5c915e10bee5631d44322a24651f8eb90e5dc04c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 29 Nov 2019 15:20:01 -0800
Subject: [PATCH 0772/1660] Update Dockerfile

---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 688604e2..c9324384 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -471,6 +471,8 @@ RUN pip install flashtext && \
     pip install ggplot && \
     pip install cesium && \
     pip install rgf_python && \
+    # b/124184516: latest version force specific version of numpy and torch.
+    pip install pytext-nlp==0.1.2 && \
     pip install pytext-nlp && \
     pip install tsfresh && \
     pip install pymagnitude && \

From 979b617dba2a767e751a1983c7334bff6a914328 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 29 Nov 2019 15:24:29 -0800
Subject: [PATCH 0773/1660] Update Dockerfile

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index c9324384..1701ae1e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -471,7 +471,7 @@ RUN pip install flashtext && \
     pip install ggplot && \
     pip install cesium && \
     pip install rgf_python && \
-    # b/124184516: latest version force specific version of numpy and torch.
+    # b/145404107: latest version force specific version of numpy and torch.
     pip install pytext-nlp==0.1.2 && \
     pip install pytext-nlp && \
     pip install tsfresh && \

From 2d40f9ea5a22e83448d487c9f0bdd0c8a455ad4f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 29 Nov 2019 23:27:28 +0000
Subject: [PATCH 0774/1660] remove annoy version pin

---
 Dockerfile | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 688604e2..d76339b4 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -333,8 +333,7 @@ RUN pip install --upgrade cython && \
     # pip install ktext && \
     pip install fasttext && \
     apt-get install -y libhunspell-dev && pip install hunspell && \
-    # b/138723119: annoy's latest version 1.16 was failing
-    pip install annoy==1.15.2 && \
+    pip install annoy && \
     # Need to use CountEncoder from category_encoders before it's officially released
     pip install git+https://github.com/scikit-learn-contrib/categorical-encoding.git && \
     pip install google-cloud-automl && \

From 324b1c11545574516165c3e8e8686e659a4c4f28 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Sat, 30 Nov 2019 01:15:01 +0000
Subject: [PATCH 0775/1660] improve diff script to show versions diff for a
 package and its dependencies

---
 diff                       | 24 +++++++++++++++++++---
 tools/pip_list_versions.py | 42 ++++++++++++++++++++++++++++++++++++++
 2 files changed, 63 insertions(+), 3 deletions(-)
 create mode 100644 tools/pip_list_versions.py

diff --git a/diff b/diff
index 966d19be..fb828f48 100755
--- a/diff
+++ b/diff
@@ -11,6 +11,7 @@ Options:
     -b, --base      The base image to diff against.
     -t, --target    The image to diff against the base image.
                     Default is the locally built image.
+    -p, --package   Only show diff for this package and its dependencies.
 EOF
 }
 
@@ -19,6 +20,7 @@ BASE_IMAGE_TAG='gcr.io/kaggle-images/python:latest'
 BASE_IMAGE_TAG_OVERRIDE=''
 TARGET_IMAGE_TAG='kaggle/python-build'
 TARGET_IMAGE_TAG_OVERRIDE=''
+PACKAGE_NAME=''
 
 while :; do
     case "$1" in 
@@ -48,6 +50,15 @@ while :; do
             TARGET_IMAGE_TAG_OVERRIDE="$2"
             shift # skip the flag value
             ;;
+        -p|--package)
+            if [[ -z "$2" ]]; then
+                usage
+                printf 'ERROR: No PACKAGE specified after the %s flag.\n' "$1" >&2
+                exit
+            fi
+            PACKAGE_NAME="$2"
+            shift # skip the flag value
+            ;;
         -?*)
             usage
             printf 'ERROR: Unknown option: %s\n' "$1" >&2
@@ -78,11 +89,18 @@ if [[ "$BASE_IMAGE_TAG" == "gcr.io/"* ]]; then
     docker pull "$BASE_IMAGE_TAG"
 fi
 
-CMDS=('dpkg-query --show -f "${Package}==${Version}\n"' 'pip freeze')
+
+if [[ -n "$PACKAGE_NAME" ]]; then
+    echo "Package: $PACKAGE_NAME"
+    CMDS=("python /tools/pip_list_versions.py $PACKAGE_NAME | sort")
+else
+    CMDS=('dpkg-query --show -f "${Package}==${Version}\n"' 'pip freeze')
+fi
+
 for cmd in "${CMDS[@]}"; do
     echo "== Comparing $cmd =="
     diff --suppress-common-lines --side-by-side \
-        <(docker run --rm "$BASE_IMAGE_TAG" $cmd) \
-        <(docker run --rm "$TARGET_IMAGE_TAG" $cmd) \
+        <(docker run -v $PWD/tools:/tools --rm "$BASE_IMAGE_TAG" /bin/bash -c "$cmd") \
+        <(docker run -v $PWD/tools:/tools --rm "$TARGET_IMAGE_TAG" /bin/bash -c "$cmd") \
         && echo 'No diff' || true
 done
diff --git a/tools/pip_list_versions.py b/tools/pip_list_versions.py
new file mode 100644
index 00000000..46dd9f4a
--- /dev/null
+++ b/tools/pip_list_versions.py
@@ -0,0 +1,42 @@
+import argparse
+import logging
+import re
+import subprocess
+
+
+def pip_show(package_name, packages=[]):
+    if package_name in packages:
+        return # avoid checking the same package twice if multiple packages depends on it.
+    packages.append(package_name)
+
+    result = subprocess.run(['pip', 'show', package_name], stdout=subprocess.PIPE)
+    if result.returncode != 0:
+        logging.error("pip show %s failed", package_name)
+    
+    show_stdout = result.stdout.decode("utf-8")
+    print(package_name + "==" + get_version(show_stdout))
+
+    for dependency in get_dependencies(show_stdout):
+        pip_show(dependency, packages=packages)
+
+def get_version(show_stdout):
+    for line in show_stdout.split("\n"):
+        m = re.match(r"^Version:\s(?P<version>.+)$", line)
+        if m:
+            return m.group('version')
+    return "not found"
+
+def get_dependencies(show_stdout):
+    for line in show_stdout.split("\n"):
+        m = re.match(r"^Requires:\s(?P<requires>.+)$", line)
+        if m:
+            return m.group('requires').split(', ')
+    return []
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument('package', type=str, help='package name')
+    args = parser.parse_args()
+    
+    pip_show(args.package)

From 1166c1932a8578d5588d9bd43b640140ba14f709 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 29 Nov 2019 00:53:05 +0000
Subject: [PATCH 0776/1660] install torchaudio from conda

---
 Dockerfile | 8 +-------
 1 file changed, 1 insertion(+), 7 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index d4b52187..f10ae93f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -180,15 +180,9 @@ RUN pip install scipy && \
     # PyTorch
     export CXXFLAGS="-std=c++11" && \
     export CFLAGS="-std=c99" && \
-    conda install -y pytorch torchvision cpuonly -c pytorch && \
-    # PyTorch Audio
+    conda install -y pytorch torchvision torchaudio cpuonly -c pytorch && \
     apt-get install -y sox libsox-dev libsox-fmt-all && \
     pip install cffi && \
-    # TODO(b/143372552): Unpin when pytorch/audio is compatible with the version
-    # of pytorch-cpu installed through conda above. A better solution would be to
-    # install torchaudio-cpu in the conda install above when there is a
-    # torchaudio-cpu version that doesn't conflict with pytorch-cpu
-    pip install git+git://github.com/pytorch/audio.git@ce1f8aafe63f7d579c74ce54d2a85d452d55c881 && \
     /tmp/clean-layer.sh
 
 # vtk with dependencies

From f7f824de9bc53294c706dc0e6604d49e691fb665 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 29 Nov 2019 01:10:19 +0000
Subject: [PATCH 0777/1660] add torchaudio test

---
 tests/data/test.wav      | Bin 0 -> 319276 bytes
 tests/test_torchaudio.py |  11 +++++++++++
 2 files changed, 11 insertions(+)
 create mode 100644 tests/data/test.wav
 create mode 100644 tests/test_torchaudio.py

diff --git a/tests/data/test.wav b/tests/data/test.wav
new file mode 100644
index 0000000000000000000000000000000000000000..006a1180e0ee2acf0394e82ab6e818a9419cbe46
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z=<L2{4qET}o@f&C8S6oQrMJ+W^S<Vnx#>Q8AGyC6#p{_f=Ar8mkFhVVLySn9;lr#y
zTAkclUDW+&!>n2NLoCb=n2*MZEjQPUF@GXHr&}0Db4ZQ<pP`N<M`y#u%HjgQOK)%w
z#PaU79L_izAFo5Brme8ov={43++yvqDQY0}JocJxbzQU)eQ2)VXOi2qL*hgC!M$Ru
zy|=Ze#;2a_eSBY>?!L0$=8QQd-nV94hq%`Klozw(?1wq&dW@;pGmlRUI+MAj#ws6^
z8@ZoeL(b&hSl{A%e$q9&xB5uj8~5KF7W1n&cwafLdE?&ro|>n5@uqr^ytf>JeQ^!e
zzWSio*Tcatn<Mlt@wz$fe(+l~M)`_)dT(pi_xJ&Mg>l!PV!W(7Kj$8>|L&D|e$}2`
z?;iVE>x(@TqZ-%kgPv!;(k<8npVOF_o9@3j#k!%FsLfjQY=e1g-dPvM$hz~VHNnQ|
zEfl94FYhOJGDgOnPqVIkCgbjN8&CI!O>mFp`NoB|Y))IF=AqBa51BjSf3dWmvu>>~
zdZ?U}4d+LUf$P?5ARlvI*pYeK<I4`}IS{9@VLqGrs8-6K`P1jJmi%cR@S(;?{9t~u
z`)s^5?RvaF+wcB*J>#t}iv5>IxHqnuO)^LKt<S)G5X0&jwuZ$F`W3Bxb#5_&ad$t=
zXP?<?SkJDVeP{dm`za07wVJ2yfwA)Y-iKY{%jN&B#e138{$0*)J^2jQm^pT3ag({^
zXU%0c(OmV#KdUdYPkak|!$z@Z?10Z}T=_Heljh3bSr>ebdCso6r|h-gv(CJSd21b7
zn||IknzO`yV-CN+Ls&EHp!-7ibWPTec}K^#=3FCN>^i&;Ey8E?`T2R*?i&1_@A+Nd
Wb8W`lJohE9XV3UsbJ)KbkN*dgx&na!

literal 0
HcmV?d00001

diff --git a/tests/test_torchaudio.py b/tests/test_torchaudio.py
new file mode 100644
index 00000000..8211b960
--- /dev/null
+++ b/tests/test_torchaudio.py
@@ -0,0 +1,11 @@
+import unittest
+
+import torchaudio
+
+
+class TestTorchaudio(unittest.TestCase):    
+    def test_import(self):
+        waveform, sample_rate = torchaudio.load('/input/tests/data/test.wav')
+
+        self.assertEquals(2, len(waveform))
+        self.assertEquals(44100, sample_rate)

From 4e8888707c086af0033c615408ac655a89567b8d Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 29 Nov 2019 17:15:48 +0000
Subject: [PATCH 0778/1660] install torchaudio apt dependencies first

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index f10ae93f..2414d25d 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -180,8 +180,8 @@ RUN pip install scipy && \
     # PyTorch
     export CXXFLAGS="-std=c++11" && \
     export CFLAGS="-std=c99" && \
-    conda install -y pytorch torchvision torchaudio cpuonly -c pytorch && \
     apt-get install -y sox libsox-dev libsox-fmt-all && \
+    conda install -y pytorch torchvision torchaudio cpuonly -c pytorch && \
     pip install cffi && \
     /tmp/clean-layer.sh
 

From ce22655a4e4c910275d33e5f9d73388edc603f36 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 29 Nov 2019 22:15:56 +0000
Subject: [PATCH 0779/1660] use assertEqual

---
 tests/test_torchaudio.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/tests/test_torchaudio.py b/tests/test_torchaudio.py
index 8211b960..8440865c 100644
--- a/tests/test_torchaudio.py
+++ b/tests/test_torchaudio.py
@@ -7,5 +7,5 @@ class TestTorchaudio(unittest.TestCase):
     def test_import(self):
         waveform, sample_rate = torchaudio.load('/input/tests/data/test.wav')
 
-        self.assertEquals(2, len(waveform))
-        self.assertEquals(44100, sample_rate)
+        self.assertEqual(2, len(waveform))
+        self.assertEqual(44100, sample_rate)

From f9ab03be7dcc8b625501a0b103cacb12cce2796a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 29 Nov 2019 22:16:35 +0000
Subject: [PATCH 0780/1660] reinstall gpu version of torchaudio

---
 gpu.Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 5fee9e38..ee2eda03 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -49,8 +49,8 @@ COPY --from=tensorflow_whl /tmp/tensorflow_gpu/*.whl /tmp/tensorflow_gpu/
 RUN pip uninstall -y tensorflow && \
     pip install /tmp/tensorflow_gpu/tensorflow*.whl && \
     rm -rf /tmp/tensorflow_gpu && \
-    conda remove --force -y pytorch torchvision cpuonly && \
-    conda install -y pytorch torchvision cudatoolkit=10.0 -c pytorch && \
+    conda remove --force -y pytorch torchvision torchaudio cpuonly && \
+    conda install -y pytorch torchvision torchaudio cudatoolkit=10.0 -c pytorch && \
     pip uninstall -y mxnet && \
     # b/126259508 --no-deps prevents numpy from being downgraded.
     pip install --no-deps mxnet-cu100 && \

From f4ac23babc7b003e130ff4def2373ce7e6f17176 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 2 Dec 2019 17:20:43 +0000
Subject: [PATCH 0781/1660] remove unused flags and dependencies

---
 Dockerfile | 5 -----
 1 file changed, 5 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 2414d25d..61a4f7cf 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -177,12 +177,7 @@ RUN pip install scipy && \
     apt-get install -y pandoc && \
     pip install git+git://github.com/scikit-learn-contrib/py-earth.git@issue191 && \
     pip install essentia && \
-    # PyTorch
-    export CXXFLAGS="-std=c++11" && \
-    export CFLAGS="-std=c99" && \
-    apt-get install -y sox libsox-dev libsox-fmt-all && \
     conda install -y pytorch torchvision torchaudio cpuonly -c pytorch && \
-    pip install cffi && \
     /tmp/clean-layer.sh
 
 # vtk with dependencies

From 9bb14a3047be932fccd89a5ed8304d4c02140c82 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Sat, 7 Dec 2019 18:27:37 +0000
Subject: [PATCH 0782/1660] pin osmx to avoid rtree upgrade

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 61a4f7cf..8bb3ce24 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -473,7 +473,8 @@ RUN pip install flashtext && \
     pip install catalyst && \
     # b/145133331: latest version is causing issue with gcloud.
     pip install rtree==0.8.3 && \
-    pip install osmnx && \
+    # b/145133331 osmnx 0.11 requires rtree >= 0.9 which is causing issue with gcloud.
+    pip install osmnx==0.10 && \
     apt-get -y install libspatialindex-dev && \
     pip install pytorch-ignite && \
     pip install qgrid && \

From 2f7b6e3ae42d14408c2480469fc7d76a32865345 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Sat, 7 Dec 2019 18:38:59 +0000
Subject: [PATCH 0783/1660] pin cesium to avoid scikit-learn downgrade

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 8bb3ce24..61eba3f5 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -457,7 +457,8 @@ RUN pip install flashtext && \
     pip install jieba  && \
     pip install git+https://github.com/SauceCat/PDPbox && \
     pip install ggplot && \
-    pip install cesium && \
+    # b/145856222 cesium 0.9.10 forces a downgrade of scikit-learn.
+    pip install cesium==0.9.9 && \
     pip install rgf_python && \
     # b/145404107: latest version force specific version of numpy and torch.
     pip install pytext-nlp==0.1.2 && \

From 453fee942916797e7cc0c7852c833843f4114cf3 Mon Sep 17 00:00:00 2001
From: PaulTimothyMooney <paultimothymooney@gmail.com>
Date: Mon, 9 Dec 2019 19:29:38 +0000
Subject: [PATCH 0784/1660] add earth engine

---
 Dockerfile                | 1 +
 tests/test_earthengine.py | 6 ++++++
 2 files changed, 7 insertions(+)
 create mode 100644 tests/test_earthengine.py

diff --git a/Dockerfile b/Dockerfile
index 61eba3f5..21065a70 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -480,6 +480,7 @@ RUN pip install flashtext && \
     pip install pytorch-ignite && \
     pip install qgrid && \
     pip install bqplot && \
+    pip install earth-engine-api && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages
diff --git a/tests/test_earthengine.py b/tests/test_earthengine.py
new file mode 100644
index 00000000..18a3f801
--- /dev/null
+++ b/tests/test_earthengine.py
@@ -0,0 +1,6 @@
+import unittest
+import ee
+
+class TestEarthEngine(unittest.TestCase):
+    def test_version(self):
+        self.assertIsNotNone(ee.__version__)

From f9b559aa8f89f6f6d5e9c226a4f1385ad7c28661 Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@google.com>
Date: Mon, 9 Dec 2019 12:41:58 -0800
Subject: [PATCH 0785/1660] Add kaggle user agent to gcp integration clients.
 (#671)

---
 patches/kaggle_gcp.py  | 20 ++++++++++++++++++++
 tests/test_automl.py   |  9 ++++++++-
 tests/test_bigquery.py |  1 +
 tests/test_gcs.py      |  1 +
 4 files changed, 30 insertions(+), 1 deletion(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index aa9b4309..01497822 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -2,6 +2,7 @@
 import inspect
 from google.auth import credentials
 from google.auth.exceptions import RefreshError
+from google.api_core.client_info import ClientInfo
 from google.cloud import bigquery
 from google.cloud.exceptions import Forbidden
 from google.cloud.bigquery._http import Connection
@@ -9,6 +10,7 @@
 
 from log import Log
 
+KAGGLE_GCP_CLIENT_USER_AGENT="kaggle-gcp-client/1.0"
 
 def get_integrations():
     kernel_integrations_var = os.getenv("KAGGLE_KERNEL_INTEGRATIONS")
@@ -165,6 +167,7 @@ def monkeypatch_bq(bq_client, *args, **kwargs):
                 Log.info("No project specified while using the unmodified client.")
                 print('Please ensure you specify a project id when creating the client'
                     ' in order to use your BigQuery account.')
+            kwargs['client_info'] = set_kaggle_user_agent(kwargs.get('client_info'))
             return bq_client(*args, **kwargs)
 
     # Monkey patches BigQuery client creation to use proxy or user-connected GCP account.
@@ -183,11 +186,28 @@ def patched_init(self, *args, **kwargs):
         if specified_credentials is None:
             Log.info("No credentials specified, using KaggleKernelCredentials.")
             kwargs['credentials'] = kaggle_kernel_credentials
+        
+        # TODO(vimota): Remove the exclusion of TablesClient once
+        # the client has fixed the error:
+        # `multiple values for keyword argument 'client_info'``
+        from google.cloud import automl_v1beta1
+        if (client_klass != automl_v1beta1.TablesClient):
+            kwargs['client_info'] = set_kaggle_user_agent(kwargs.get('client_info'))
+
+
         return client_init(self, *args, **kwargs)
 
     if (not has_been_monkeypatched(client_klass.__init__)):
         client_klass.__init__ = patched_init
 
+def set_kaggle_user_agent(client_info: ClientInfo):
+    # Add kaggle client user agent in order to attribute usage.
+    if client_info is None:
+        client_info = ClientInfo(user_agent=KAGGLE_GCP_CLIENT_USER_AGENT)
+    else:
+        client_info.user_agent = KAGGLE_GCP_CLIENT_USER_AGENT
+    return client_info
+
 def init_gcs():
     is_user_secrets_token_set = "KAGGLE_USER_SECRETS_TOKEN" in os.environ
     from google.cloud import storage
diff --git a/tests/test_automl.py b/tests/test_automl.py
index 1cb1e110..367f5ee7 100644
--- a/tests/test_automl.py
+++ b/tests/test_automl.py
@@ -19,9 +19,15 @@ def test_version(self):
         self.assertGreaterEqual(version, 0.5);
 
     class FakeClient:
-        def __init__(self, credentials=None, **kwargs):
+        def __init__(self, credentials=None, client_info=None, **kwargs):
             self.credentials = credentials
 
+            class FakeConnection():
+                def __init__(self, user_agent):
+                    self.user_agent = user_agent
+            if (client_info is not None):
+                self._connection = FakeConnection(client_info.user_agent)
+
     @patch("google.cloud.automl_v1beta1.AutoMlClient", new=FakeClient)
     def test_user_provided_credentials(self):
         credentials = _make_credentials()
@@ -64,6 +70,7 @@ def test_default_credentials_automl_client(self):
             automl_client = automl.AutoMlClient()
             self.assertIsNotNone(automl_client.credentials)
             self.assertIsInstance(automl_client.credentials, KaggleKernelCredentials)
+            self.assertTrue(automl_client._connection.user_agent.startswith("kaggle-gcp-client/1.0"))
 
     @patch("google.cloud.automl_v1beta1.TablesClient", new=FakeClient)
     def test_default_credentials_tables_client(self):
diff --git a/tests/test_bigquery.py b/tests/test_bigquery.py
index a71f9545..4b152b78 100644
--- a/tests/test_bigquery.py
+++ b/tests/test_bigquery.py
@@ -103,6 +103,7 @@ def test_project_with_connected_account_default_credentials(self, mock_access_to
         env.set('KAGGLE_KERNEL_INTEGRATIONS', 'BIGQUERY')
         with env:
             client = bigquery.Client(project='ANOTHER_PROJECT')
+            self.assertTrue(client._connection.user_agent.startswith("kaggle-gcp-client/1.0"))
             self._test_integration(client)
 
     @patch.object(Connection, 'API_BASE_URL')
diff --git a/tests/test_gcs.py b/tests/test_gcs.py
index c6b2c45e..9902a877 100644
--- a/tests/test_gcs.py
+++ b/tests/test_gcs.py
@@ -44,6 +44,7 @@ def test_default_credentials_gcs_enabled(self):
             init_gcs()
             client = storage.Client(project="xyz")
             self.assertIsInstance(client._credentials, KaggleKernelCredentials)
+            self.assertTrue(client._connection.user_agent.startswith("kaggle-gcp-client/1.0"))
     
     def test_monkeypatching_idempotent(self):
         env = EnvironmentVarGuard()

From 2d8bae58550994a80139a482d83a39b8ccd8ca28 Mon Sep 17 00:00:00 2001
From: PaulTimothyMooney <paultimothymooney@gmail.com>
Date: Mon, 9 Dec 2019 21:03:28 +0000
Subject: [PATCH 0786/1660] fix earth engine PR

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 21065a70..7219190a 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -480,7 +480,7 @@ RUN pip install flashtext && \
     pip install pytorch-ignite && \
     pip install qgrid && \
     pip install bqplot && \
-    pip install earth-engine-api && \
+    pip install earthengine-api && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages

From 1f00016cc6b586bfd396cff42db11a799da50a2a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 9 Dec 2019 17:24:32 -0800
Subject: [PATCH 0787/1660] Avoid race between build in test

---
 Jenkinsfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 512b04a2..9c14c959 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -47,7 +47,7 @@ pipeline {
           set -exo pipefail
 
           date
-          ./test
+          ./test --image gcr.io/kaggle-images/python:${PRETEST_TAG}
         '''
       }
     }
@@ -99,7 +99,7 @@ pipeline {
           set -exo pipefail
 
           date
-          ./test --gpu
+          ./test --gpu --image gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
         '''
       }
     }

From 586cee62ea897bc6432090d50805829918d4409b Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 9 Dec 2019 17:27:55 -0800
Subject: [PATCH 0788/1660] merge build and push pre test to avoid race

---
 Jenkinsfile | 21 ---------------------
 1 file changed, 21 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 9c14c959..4d764ad5 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -26,16 +26,6 @@ pipeline {
           set -exo pipefail
 
           ./build | ts
-        '''
-      }
-    }
-
-    stage('Push CPU Pretest Image') {
-      steps {
-        sh '''#!/bin/bash
-          set -exo pipefail
-
-          date
           ./push ${PRETEST_TAG}
         '''
       }
@@ -76,17 +66,6 @@ pipeline {
           set -exo pipefail
           docker image prune -f # remove previously built image to prevent disk from filling up
           ./build --gpu --base-image-tag ${STAGING_TAG} | ts
-        '''
-      }
-    }
-
-    stage('Push GPU Pretest Image') {
-      agent { label 'ephemeral-linux-gpu' }
-      steps {
-        sh '''#!/bin/bash
-          set -exo pipefail
-
-          date
           ./push --gpu ${PRETEST_TAG}
         '''
       }

From 95c630aed1b159aae08d8e5cf8e2fa46bc47e105 Mon Sep 17 00:00:00 2001
From: Anton Protopopov <anton.protopopov@gmail.com>
Date: Thu, 12 Dec 2019 06:13:04 +0300
Subject: [PATCH 0789/1660] add huggingface/transformer

---
 Dockerfile                 |  1 +
 tests/test_transformers.py | 25 +++++++++++++++++++++++++
 2 files changed, 26 insertions(+)
 create mode 100644 tests/test_transformers.py

diff --git a/Dockerfile b/Dockerfile
index 7219190a..cba064df 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -481,6 +481,7 @@ RUN pip install flashtext && \
     pip install qgrid && \
     pip install bqplot && \
     pip install earthengine-api && \
+    pip install transformers && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages
diff --git a/tests/test_transformers.py b/tests/test_transformers.py
new file mode 100644
index 00000000..d6056293
--- /dev/null
+++ b/tests/test_transformers.py
@@ -0,0 +1,25 @@
+import unittest
+
+import torch
+from transformers import AdamW
+
+
+class TestTransformers(unittest.TestCase):
+    def assertListAlmostEqual(self, list1, list2, tol):
+        self.assertEqual(len(list1), len(list2))
+        for a, b in zip(list1, list2):
+            self.assertAlmostEqual(a, b, delta=tol)
+
+    def test_adam_w(self):
+        w = torch.tensor([0.1, -0.2, -0.1], requires_grad=True)
+        target = torch.tensor([0.4, 0.2, -0.5])
+        criterion = torch.nn.MSELoss()
+        # No warmup, constant schedule, no gradient clipping
+        optimizer = AdamW(params=[w], lr=2e-1, weight_decay=0.0)
+        for _ in range(100):
+            loss = criterion(w, target)
+            loss.backward()
+            optimizer.step()
+            w.grad.detach_() # No zero_grad() function on simple tensors. we do it ourselves.
+            w.grad.zero_()
+        self.assertListAlmostEqual(w.tolist(), [0.4, 0.2, -0.5], tol=1e-2)

From 927a7abf205401e92d7bfa557b9f1535610c7fd0 Mon Sep 17 00:00:00 2001
From: Lavanya Shukla <lavanya.shukla12@gmail.com>
Date: Mon, 12 Aug 2019 15:33:27 -0700
Subject: [PATCH 0790/1660] Update Dockerfile

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index cba064df..ba655043 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -434,6 +434,7 @@ RUN pip install jsonnet overrides tensorboardX && \
     ###########
 
 RUN pip install flashtext && \
+    pip install wandb && \
     pip install marisa-trie && \
     pip install pyemd && \
     pip install pyupset && \

From e89f3718945d8e19353939b162dc0545eb50e5c8 Mon Sep 17 00:00:00 2001
From: Lavanya Shukla <lavanya.shukla12@gmail.com>
Date: Tue, 20 Aug 2019 11:25:00 -0700
Subject: [PATCH 0791/1660] Update Dockerfile to add FastParquet

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index ba655043..0eef60e6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -435,6 +435,7 @@ RUN pip install jsonnet overrides tensorboardX && \
 
 RUN pip install flashtext && \
     pip install wandb && \
+    pip install fastparquet && \
     pip install marisa-trie && \
     pip install pyemd && \
     pip install pyupset && \

From 7ba15b4d9fd079a962988c3833bb9f51d5ac4f56 Mon Sep 17 00:00:00 2001
From: Lavanya Shukla <lavanya.shukla12@gmail.com>
Date: Thu, 12 Dec 2019 16:53:31 -0800
Subject: [PATCH 0792/1660] Removed fastparquet

---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 0eef60e6..ba655043 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -435,7 +435,6 @@ RUN pip install jsonnet overrides tensorboardX && \
 
 RUN pip install flashtext && \
     pip install wandb && \
-    pip install fastparquet && \
     pip install marisa-trie && \
     pip install pyemd && \
     pip install pyupset && \

From 37cadb4ae136a5f4c1d0110a984f05e3a57e0d3b Mon Sep 17 00:00:00 2001
From: Lavanya Shukla <lavanya.shukla12@gmail.com>
Date: Thu, 12 Dec 2019 16:55:39 -0800
Subject: [PATCH 0793/1660] Added test for wandb

---
 tests/test_wandb.py | 8 ++++++++
 1 file changed, 8 insertions(+)
 create mode 100644 tests/test_wandb.py

diff --git a/tests/test_wandb.py b/tests/test_wandb.py
new file mode 100644
index 00000000..79ed675a
--- /dev/null
+++ b/tests/test_wandb.py
@@ -0,0 +1,8 @@
+import unittest
+
+import wandb
+
+class TestWandB(unittest.TestCase):
+
+    def test_version(self):
+        self.assertIsNotNone(wandb.__version__)

From 8b8b4b453bc431e1aa90bb57fc647ee1bd532abf Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 19 Dec 2019 15:40:36 +0000
Subject: [PATCH 0794/1660] Run the jupyter test only if no pattern is
 specified

---
 test | 13 +++++++++----
 1 file changed, 9 insertions(+), 4 deletions(-)

diff --git a/test b/test
index 99453605..44c0ad71 100755
--- a/test
+++ b/test
@@ -74,10 +74,15 @@ docker rm jupyter_test || true
 mkdir -p /tmp/python-build/tmp
 mkdir -p /tmp/python-build/devshm
 mkdir -p /tmp/python-build/working
-# Check that Jupyter server can run; if it dies on startup, the `docker kill` command will throw an error
-docker run -d --name=jupyter_test --read-only --net=none -e HOME=/tmp -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm "$IMAGE_TAG" jupyter notebook --allow-root --ip="*"
-sleep 3
-docker kill jupyter_test && docker rm jupyter_test
+
+# Only run Jupyter server test if no specific test pattern is specified.
+if [ $PATTERN == 'test*.py' ]; then
+    # Check that Jupyter server can run; if it dies on startup, the `docker kill` command will throw an error
+    docker run -d --name=jupyter_test --read-only --net=none -e HOME=/tmp -v $PWD:/input:ro -v /tmp/python-build/working:/working -w=/working -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm "$IMAGE_TAG" jupyter notebook --allow-root --ip="*"
+    sleep 3
+    docker kill jupyter_test && docker rm jupyter_test
+fi
+
 docker run --rm -t --read-only --net=none \
     -e HOME=/tmp -e KAGGLE_DATA_PROXY_TOKEN=test-key \
     -e KAGGLE_USER_SECRETS_TOKEN_KEY=test-secrets-key \

From 98b5276e33394f4b2cc0b35b0a9c864a0f7a7c43 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 19 Dec 2019 21:58:08 +0000
Subject: [PATCH 0795/1660] Add JAX package

---
 gpu.Dockerfile    |  9 +++++++++
 tests/test_jax.py | 19 +++++++++++++++++++
 2 files changed, 28 insertions(+)
 create mode 100644 tests/test_jax.py

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index ee2eda03..11679b30 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -44,6 +44,15 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 && \
     /tmp/clean-layer.sh
 
+# Install JAX
+ENV JAX_PYTHON_VERSION=cp36
+ENV JAX_CUDA_VERSION=cuda100
+ENV JAX_PLATFORM=linux_x86_64
+ENV JAX_BASE_URL="https://storage.googleapis.com/jax-releases"
+
+RUN  pip install --upgrade $JAX_BASE_URL/$JAX_CUDA_VERSION/jaxlib-0.1.36-$JAX_PYTHON_VERSION-none-$JAX_PLATFORM.whl && \
+     pip install --upgrade jax
+
 # Reinstall packages with a separate version for GPU support.
 COPY --from=tensorflow_whl /tmp/tensorflow_gpu/*.whl /tmp/tensorflow_gpu/
 RUN pip uninstall -y tensorflow && \
diff --git a/tests/test_jax.py b/tests/test_jax.py
new file mode 100644
index 00000000..bbddfd96
--- /dev/null
+++ b/tests/test_jax.py
@@ -0,0 +1,19 @@
+import unittest
+
+import time
+
+import jax.numpy as np
+from jax import grad, jit
+
+
+class TestJAX(unittest.TestCase):
+    def tanh(self, x):
+        y = np.exp(-2.0 * x)
+        return (1.0 - y) / (1.0 + y)
+
+    @gpu_test
+    def test_JAX(self):
+        grad_tanh = grad(self.tanh)
+        ag = grad_tanh(1.0)
+        print(f'JAX autograd test: {ag}')
+        assert ag==0.4199743

From b017e4ea33ab172c777d8fd2466af162d8ab3f8d Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@google.com>
Date: Thu, 19 Dec 2019 14:35:14 -0800
Subject: [PATCH 0796/1660] Update gcp integration error messages. b/146443208
 (#680)

---
 patches/kaggle_gcp.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index 01497822..887df189 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -75,7 +75,7 @@ def refresh(self, request):
             if (not get_integrations().has_integration(self.target)):
                 Log.error(f"No {self.target.service} integration found.")
                 print(
-                   f"Please ensure you have selected a {self.target.service} account in the Kernels Settings sidebar.")
+                   f"Please ensure you have selected a {self.target.service} account in the Notebook Add-ons menu.")
             raise RefreshError('Unable to refresh access token.') from e
 
 
@@ -96,7 +96,7 @@ def api_request(self, *args, **kwargs):
             return super().api_request(*args, **kwargs)
         except Forbidden as e:
             msg = ("Permission denied using Kaggle's public BigQuery integration. "
-                   "Did you mean to select a BigQuery account in the Kernels Settings sidebar?")
+                   "Did you mean to select a BigQuery account in the Notebook Add-ons menu?")
             print(msg)
             Log.info(msg)
             raise e
@@ -131,7 +131,7 @@ def init_bigquery():
     if not (is_proxy_token_set or is_user_secrets_token_set):
         return bigquery
 
-    # If this Kernel has bigquery integration on startup, preload the Kaggle Credentials
+    # If this Notebook has bigquery integration on startup, preload the Kaggle Credentials
     # object for magics to work.
     if get_integrations().has_bigquery():
         from google.cloud.bigquery import magics
@@ -162,7 +162,7 @@ def monkeypatch_bq(bq_client, *args, **kwargs):
                 if (not has_bigquery):
                     Log.info("No bigquery integration found, creating client anyways.")
                     print('Please ensure you have selected a BigQuery '
-                        'account in the Kernels Settings sidebar.')
+                        'account in the Notebook Add-ons menu.')
             if explicit_project_id is None:
                 Log.info("No project specified while using the unmodified client.")
                 print('Please ensure you specify a project id when creating the client'

From 95dc1e487452306f510b5e4c1ca546fe2b1bb959 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 20 Dec 2019 14:25:29 +0000
Subject: [PATCH 0797/1660] move import statement inside gpu test

---
 tests/test_jax.py | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/tests/test_jax.py b/tests/test_jax.py
index bbddfd96..32935f11 100644
--- a/tests/test_jax.py
+++ b/tests/test_jax.py
@@ -2,9 +2,6 @@
 
 import time
 
-import jax.numpy as np
-from jax import grad, jit
-
 
 class TestJAX(unittest.TestCase):
     def tanh(self, x):
@@ -13,6 +10,11 @@ def tanh(self, x):
 
     @gpu_test
     def test_JAX(self):
+        # importing inside the gpu-only test because these packages can't be
+        # imported on the CPU image since they are not present there.
+        import jax.numpy as np
+        from jax import grad, jit
+
         grad_tanh = grad(self.tanh)
         ag = grad_tanh(1.0)
         print(f'JAX autograd test: {ag}')

From 5a2eb0b4197a999285c14ea869761174e0df949b Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 20 Dec 2019 14:26:59 +0000
Subject: [PATCH 0798/1660] use self.assert* methods

---
 tests/test_jax.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/tests/test_jax.py b/tests/test_jax.py
index 32935f11..2f0d968f 100644
--- a/tests/test_jax.py
+++ b/tests/test_jax.py
@@ -17,5 +17,4 @@ def test_JAX(self):
 
         grad_tanh = grad(self.tanh)
         ag = grad_tanh(1.0)
-        print(f'JAX autograd test: {ag}')
-        assert ag==0.4199743
+        self.assertEqual(0.4199743, ag)

From 393a82445c3aee22138efebcabbd15568a954fdb Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 20 Dec 2019 15:56:33 +0000
Subject: [PATCH 0799/1660] add missing gpu_test import

---
 tests/test_jax.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/tests/test_jax.py b/tests/test_jax.py
index 2f0d968f..580465a5 100644
--- a/tests/test_jax.py
+++ b/tests/test_jax.py
@@ -2,6 +2,8 @@
 
 import time
 
+from common import gpu_test
+
 
 class TestJAX(unittest.TestCase):
     def tanh(self, x):

From 5dc100d4eec7227d6edf8405f3846bae81a27b92 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 20 Dec 2019 18:15:21 +0000
Subject: [PATCH 0800/1660] add missing numpy import

---
 tests/test_jax.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/test_jax.py b/tests/test_jax.py
index 580465a5..0a3c24ae 100644
--- a/tests/test_jax.py
+++ b/tests/test_jax.py
@@ -7,6 +7,7 @@
 
 class TestJAX(unittest.TestCase):
     def tanh(self, x):
+        import jax.numpy as np
         y = np.exp(-2.0 * x)
         return (1.0 - y) / (1.0 + y)
 
@@ -14,7 +15,6 @@ def tanh(self, x):
     def test_JAX(self):
         # importing inside the gpu-only test because these packages can't be
         # imported on the CPU image since they are not present there.
-        import jax.numpy as np
         from jax import grad, jit
 
         grad_tanh = grad(self.tanh)

From f4a1be7efccc3f45a4cf81d6903d757b6c2828f1 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 6 Jan 2020 14:12:41 -0800
Subject: [PATCH 0801/1660] Install latest version of jaxlib

---
 gpu.Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 11679b30..829e3600 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -50,7 +50,7 @@ ENV JAX_CUDA_VERSION=cuda100
 ENV JAX_PLATFORM=linux_x86_64
 ENV JAX_BASE_URL="https://storage.googleapis.com/jax-releases"
 
-RUN  pip install --upgrade $JAX_BASE_URL/$JAX_CUDA_VERSION/jaxlib-0.1.36-$JAX_PYTHON_VERSION-none-$JAX_PLATFORM.whl && \
+RUN  pip install --upgrade $JAX_BASE_URL/$JAX_CUDA_VERSION/jaxlib-0.1.37-$JAX_PYTHON_VERSION-none-$JAX_PLATFORM.whl && \
      pip install --upgrade jax
 
 # Reinstall packages with a separate version for GPU support.

From bc4c85eb95b21008bed7cfe946f427784265434e Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 6 Jan 2020 14:02:31 -0800
Subject: [PATCH 0802/1660] Build new TF whl for 2.1-rc2

---
 tensorflow-whl/CHANGELOG.md | 1 +
 tensorflow-whl/Dockerfile   | 2 +-
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index d913e764..a32b1ea0 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -8,3 +8,4 @@
 2.0.0-rc1-py36: TensorFlow 2.0.0 RC1 with Python 3.6
 2.0.0-py36: TensorFlow 2.0.0 with Python 3.6
 2.1.0-rc0-py36: TensorFlow 2.0.1-rc0 with Python 3.6
+2.1.0-rc2-py36: TensorFlow 2.0.1-rc2 with Python 3.6
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index abb9e0c2..45e328a5 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -62,7 +62,7 @@ RUN apt-get install -y gnupg zip openjdk-8-jdk && \
 RUN cd /usr/local/src && \
     git clone https://github.com/tensorflow/tensorflow && \
     cd tensorflow && \
-    git checkout tags/v2.1.0-rc0 && \
+    git checkout tags/v2.1.0-rc2 && \
     pip install keras_applications --no-deps && \
     pip install keras_preprocessing --no-deps
 

From 2e939d3d1fe32362737f593047da036be9fc521f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 7 Jan 2020 08:47:59 -0800
Subject: [PATCH 0803/1660] update Bazel version

---
 tensorflow-whl/Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 45e328a5..1455d4c2 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -48,8 +48,8 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
 # Work to upgrade to Python 3.7 can be found on this branch: https://github.com/Kaggle/docker-python/blob/upgrade-py37/Dockerfile
 RUN conda install -y python=3.6.6 && pip install --upgrade pip && pip install numpy
 
-# The tested build configurations for Tensorflow 1.14 uses Bazel 0.24.1: https://www.tensorflow.org/install/source#tested_build_configurations
-ENV BAZEL_VERSION=0.27.1
+# See _TF_(MIN|MAX)_BAZEL_VERSION at https://github.com/tensorflow/tensorflow/blob/master/configure.py.
+ENV BAZEL_VERSION=1.1.0
 RUN apt-get install -y gnupg zip openjdk-8-jdk && \
     apt-get install -y --no-install-recommends \
       bash-completion \

From 4df049fda0163041db915ea4e802ac641596b8dc Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 7 Jan 2020 09:48:53 -0800
Subject: [PATCH 0804/1660] use bazel version for rc2

---
 tensorflow-whl/Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 1455d4c2..5e3daa42 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -49,7 +49,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
 RUN conda install -y python=3.6.6 && pip install --upgrade pip && pip install numpy
 
 # See _TF_(MIN|MAX)_BAZEL_VERSION at https://github.com/tensorflow/tensorflow/blob/master/configure.py.
-ENV BAZEL_VERSION=1.1.0
+ENV BAZEL_VERSION=0.29.1
 RUN apt-get install -y gnupg zip openjdk-8-jdk && \
     apt-get install -y --no-install-recommends \
       bash-completion \

From 5aa45826d461526497c0563a892e9d9eabb94c9d Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 8 Jan 2020 09:07:00 -0800
Subject: [PATCH 0805/1660] Install TF 2.1.0-rc2

---
 Dockerfile     | 2 +-
 gpu.Dockerfile | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index ba655043..7ef7fb19 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=2019.03
 ARG TENSORFLOW_VERSION=2.1.0
 
-FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-rc0-py36 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-rc2-py36 as tensorflow_whl
 FROM continuumio/anaconda3:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 829e3600..4736de08 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=staging
 
 FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04 AS nvidia
-FROM gcr.io/kaggle-images/python-tensorflow-whl:2.1.0-rc0-py36 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:2.1.0-rc2-py36 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh

From 00e728589d7466f1a90778b198154ae84ce3e3b4 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 9 Jan 2020 10:25:45 -0800
Subject: [PATCH 0806/1660] build new tf2.1 GA whl

---
 tensorflow-whl/CHANGELOG.md | 5 +++--
 tensorflow-whl/Dockerfile   | 2 +-
 2 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index a32b1ea0..71c0d63e 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -7,5 +7,6 @@
 1.14.0-py36: TensorFlow 1.14.0 with Python 3.6
 2.0.0-rc1-py36: TensorFlow 2.0.0 RC1 with Python 3.6
 2.0.0-py36: TensorFlow 2.0.0 with Python 3.6
-2.1.0-rc0-py36: TensorFlow 2.0.1-rc0 with Python 3.6
-2.1.0-rc2-py36: TensorFlow 2.0.1-rc2 with Python 3.6
+2.1.0-rc0-py36: TensorFlow 2.1.0-rc0 with Python 3.6
+2.1.0-rc2-py36: TensorFlow 2.1.0-rc2 with Python 3.6
+2.1.0-py36: TensorFlow 2.1.0 with Python 3.6
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 5e3daa42..51996f46 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -62,7 +62,7 @@ RUN apt-get install -y gnupg zip openjdk-8-jdk && \
 RUN cd /usr/local/src && \
     git clone https://github.com/tensorflow/tensorflow && \
     cd tensorflow && \
-    git checkout tags/v2.1.0-rc2 && \
+    git checkout tags/v2.1.0 && \
     pip install keras_applications --no-deps && \
     pip install keras_preprocessing --no-deps
 

From 8f0b01cf7c0c808692d6f9f5b06c280a59a494e3 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 9 Jan 2020 21:29:13 -0800
Subject: [PATCH 0807/1660] Install TensorFlow 2.1.0 GA whl

---
 Dockerfile     | 2 +-
 gpu.Dockerfile | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 7ef7fb19..a4105ace 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=2019.03
 ARG TENSORFLOW_VERSION=2.1.0
 
-FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-rc2-py36 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py36 as tensorflow_whl
 FROM continuumio/anaconda3:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 4736de08..195d2fef 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=staging
 
 FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04 AS nvidia
-FROM gcr.io/kaggle-images/python-tensorflow-whl:2.1.0-rc2-py36 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:2.1.0-py36 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh

From 16a2e9e0494c4ea208e92afeba7edc2ee5f9a254 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 13 Jan 2020 11:22:33 -0800
Subject: [PATCH 0808/1660] install opencl

---
 gpu.Dockerfile | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 195d2fef..d682f846 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -44,6 +44,10 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 && \
     /tmp/clean-layer.sh
 
+# Install OpenCL (required by LightGBM GPU version)
+RUN apt-get install -y ocl-icd-libopencl1 && \
+    /tmp/clean-layer.sh
+
 # Install JAX
 ENV JAX_PYTHON_VERSION=cp36
 ENV JAX_CUDA_VERSION=cuda100

From d08d78b3885143b8fc4439667c09c9845d9e506b Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@google.com>
Date: Wed, 22 Jan 2020 10:22:47 -0700
Subject: [PATCH 0809/1660] Use the newer
 google.api_core.gapic_v1.client_info.ClientInfo to resovle errors in
 b/148144131

---
 patches/kaggle_gcp.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index 887df189..64355e51 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -2,7 +2,7 @@
 import inspect
 from google.auth import credentials
 from google.auth.exceptions import RefreshError
-from google.api_core.client_info import ClientInfo
+from google.api_core.gapic_v1.client_info import ClientInfo
 from google.cloud import bigquery
 from google.cloud.exceptions import Forbidden
 from google.cloud.bigquery._http import Connection

From f0561dc7ec838b78c048a549725e63378e58408f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 22 Jan 2020 18:08:47 +0000
Subject: [PATCH 0810/1660] add mxnet version pin

---
 Dockerfile     | 4 ++--
 gpu.Dockerfile | 3 ++-
 2 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index a4105ace..4f51e2d6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -129,8 +129,8 @@ RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
     pip install packaging && \
     pip install shapely && \
     pip install cartopy && \
-    # MXNet
-    pip install mxnet && \
+    # b/148097039 remove ping on mxnet version.
+    pip install mxnet==1.5.1.post0 && \
     # b/145358669 remove --upgrade once we upgrade base image which will include numpy >= 1.17
     pip install --upgrade numpy && \
     pip install gluonnlp && \
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index d682f846..cd686c65 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -65,8 +65,9 @@ RUN pip uninstall -y tensorflow && \
     conda remove --force -y pytorch torchvision torchaudio cpuonly && \
     conda install -y pytorch torchvision torchaudio cudatoolkit=10.0 -c pytorch && \
     pip uninstall -y mxnet && \
+    # b/148097039 remove ping on mxnet version.
     # b/126259508 --no-deps prevents numpy from being downgraded.
-    pip install --no-deps mxnet-cu100 && \
+    pip install --no-deps mxnet-cu100==1.5.1.post0 && \
     /tmp/clean-layer.sh
 
 # Install GPU-only packages

From 2de428e21087703ee82dabcb0163baa0c36b8ffb Mon Sep 17 00:00:00 2001
From: adamjeffries <ajeffries@kaggle.com>
Date: Wed, 22 Jan 2020 13:20:25 -0700
Subject: [PATCH 0811/1660] Install kaggle-environments

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index a4105ace..3084c8a9 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -483,6 +483,7 @@ RUN pip install flashtext && \
     pip install bqplot && \
     pip install earthengine-api && \
     pip install transformers && \
+    pip install kaggle-environments && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages

From b25d37992e29c95377879c07902c9623c4c251ac Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 22 Jan 2020 23:02:26 +0000
Subject: [PATCH 0812/1660] pin only pip

---
 Dockerfile     | 6 +++---
 gpu.Dockerfile | 3 +--
 2 files changed, 4 insertions(+), 5 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 4f51e2d6..46ced8b0 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -18,7 +18,8 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     apt-get update && apt-get install -y build-essential unzip cmake && \
     # Work to upgrade to Python 3.7 can be found on this branch: https://github.com/Kaggle/docker-python/blob/upgrade-py37/Dockerfile
     conda install -y python=3.6.6 && \
-    pip install --upgrade pip && \
+    # See b/148097039#comment7
+    pip install pip==19.3.1 && \
     /tmp/clean-layer.sh
 
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
@@ -129,8 +130,7 @@ RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
     pip install packaging && \
     pip install shapely && \
     pip install cartopy && \
-    # b/148097039 remove ping on mxnet version.
-    pip install mxnet==1.5.1.post0 && \
+    pip install mxnet && \
     # b/145358669 remove --upgrade once we upgrade base image which will include numpy >= 1.17
     pip install --upgrade numpy && \
     pip install gluonnlp && \
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index cd686c65..d682f846 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -65,9 +65,8 @@ RUN pip uninstall -y tensorflow && \
     conda remove --force -y pytorch torchvision torchaudio cpuonly && \
     conda install -y pytorch torchvision torchaudio cudatoolkit=10.0 -c pytorch && \
     pip uninstall -y mxnet && \
-    # b/148097039 remove ping on mxnet version.
     # b/126259508 --no-deps prevents numpy from being downgraded.
-    pip install --no-deps mxnet-cu100==1.5.1.post0 && \
+    pip install --no-deps mxnet-cu100 && \
     /tmp/clean-layer.sh
 
 # Install GPU-only packages

From 59eaedeca95841d8b0392aa9f3bb26ccb48fec1d Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@google.com>
Date: Fri, 24 Jan 2020 16:35:04 -0700
Subject: [PATCH 0813/1660] Add a Kaggle dataset client to support getting GCS
 paths for TPU and AutoML

---
 patches/kaggle_datasets.py   |  24 +++++++
 patches/kaggle_web_client.py |  58 ++++++++++++++++
 tests/test_datasets.py       | 130 +++++++++++++++++++++++++++++++++++
 3 files changed, 212 insertions(+)
 create mode 100644 patches/kaggle_datasets.py
 create mode 100644 patches/kaggle_web_client.py
 create mode 100644 tests/test_datasets.py

diff --git a/patches/kaggle_datasets.py b/patches/kaggle_datasets.py
new file mode 100644
index 00000000..654e025f
--- /dev/null
+++ b/patches/kaggle_datasets.py
@@ -0,0 +1,24 @@
+import os
+from kaggle_web_client import KaggleWebClient
+
+_KAGGLE_TPU_NAME_ENV_VAR_NAME = 'TPU_NAME'
+
+class KaggleDatasets:
+    GET_GCS_PATH_ENDPOINT = '/requests/CopyDatasetVersionToKnownGcsBucketRequest'
+
+    # Integration types for GCS
+    AUTO_ML = 1
+    TPU = 2
+
+    def __init__(self):
+        self.web_client = KaggleWebClient()
+        self.has_tpu = os.getenv(_KAGGLE_TPU_NAME_ENV_VAR_NAME) is not None
+
+    def get_gcs_path(self, dataset_dir: str = None) -> str:
+        integration_type = self.TPU if self.has_tpu else self.AUTO_ML
+        data = {
+            'MountSlug': dataset_dir,
+            'IntegrationType': integration_type,
+        }
+        result = self.web_client.make_post_request(data, self.GET_GCS_PATH_ENDPOINT)
+        return result['destinationBucket']
diff --git a/patches/kaggle_web_client.py b/patches/kaggle_web_client.py
new file mode 100644
index 00000000..ad2b77e2
--- /dev/null
+++ b/patches/kaggle_web_client.py
@@ -0,0 +1,58 @@
+
+import json
+import os
+import socket
+import urllib.request
+from datetime import datetime, timedelta
+from enum import Enum, unique
+from typing import Optional, Tuple
+from urllib.error import HTTPError, URLError
+from kaggle_secrets import (_KAGGLE_DEFAULT_URL_BASE,
+                            _KAGGLE_URL_BASE_ENV_VAR_NAME,
+                            _KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME,
+                            CredentialError, BackendError, ValidationError)
+
+class KaggleWebClient:
+    TIMEOUT_SECS = 90
+
+    def __init__(self):
+        url_base_override = os.getenv(_KAGGLE_URL_BASE_ENV_VAR_NAME)
+        self.url_base = url_base_override or _KAGGLE_DEFAULT_URL_BASE
+        # Follow the OAuth 2.0 Authorization standard (https://tools.ietf.org/html/rfc6750)
+        self.jwt_token = os.getenv(_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME)
+        if self.jwt_token is None:
+            raise CredentialError(
+                'A JWT Token is required to call Kaggle, '
+                f'but none found in environment variable {_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME}')
+        self.headers = {
+            'Content-type': 'application/json',
+            'Authorization': f'Bearer {self.jwt_token}',
+        }
+
+    def make_post_request(self, data: dict, endpoint: str) -> dict:
+        url = f'{self.url_base}{endpoint}'
+        request_body = dict(data)
+        request_body['JWE'] = self.jwt_token
+        req = urllib.request.Request(url, headers=self.headers, data=bytes(
+            json.dumps(request_body), encoding="utf-8"))
+        try:
+            with urllib.request.urlopen(req, timeout=self.TIMEOUT_SECS) as response:
+                response_json = json.loads(response.read())
+                if not response_json.get('wasSuccessful') or 'result' not in response_json:
+                    raise BackendError(
+                        f'Unexpected response from the service. Response: {response_json}.')
+                return response_json['result']
+        except (URLError, socket.timeout) as e:
+            if isinstance(
+                    e, socket.timeout) or isinstance(
+                    e.reason, socket.timeout):
+                raise ConnectionError(
+                    'Timeout error trying to communicate with service. Please ensure internet is on.') from e
+            raise ConnectionError(
+                'Connection error trying to communicate with service.') from e
+        except HTTPError as e:
+            if e.code == 401 or e.code == 403:
+                raise CredentialError(
+                    f'Service responded with error code {e.code}.'
+                    ' Please ensure you have access to the resource.') from e
+            raise BackendError('Unexpected response from the service.') from e
diff --git a/tests/test_datasets.py b/tests/test_datasets.py
new file mode 100644
index 00000000..e8ae81b4
--- /dev/null
+++ b/tests/test_datasets.py
@@ -0,0 +1,130 @@
+import json
+import os
+import threading
+import unittest
+from http.server import BaseHTTPRequestHandler, HTTPServer
+from test.support import EnvironmentVarGuard
+from urllib.parse import urlparse
+from datetime import datetime, timedelta
+import mock
+
+from google.auth.exceptions import DefaultCredentialsError
+from google.cloud import bigquery
+from kaggle_secrets import (_KAGGLE_URL_BASE_ENV_VAR_NAME,
+                            _KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME,
+                            CredentialError, BackendError, ValidationError)
+from kaggle_web_client import KaggleWebClient
+from kaggle_datasets import KaggleDatasets, _KAGGLE_TPU_NAME_ENV_VAR_NAME
+
+_TEST_JWT = 'test-secrets-key'
+
+_TPU_GCS_BUCKET = 'gs://kds-tpu-ea1971a458ffd4cd51389e7574c022ecc0a82bb1b52ccef08c8a'
+_AUTOML_GCS_BUCKET = 'gs://kds-automl-ea1971a458ffd4cd51389e7574c022ecc0a82bb1b52ccef08c8a'
+
+class GcsDatasetsHTTPHandler(BaseHTTPRequestHandler):
+
+    def set_request(self):
+        raise NotImplementedError()
+
+    def get_response(self):
+        raise NotImplementedError()
+
+    def do_HEAD(s):
+        s.send_response(200)
+
+    def do_POST(s):
+        s.set_request()
+        s.send_response(200)
+        s.send_header("Content-type", "application/json")
+        s.end_headers()
+        s.wfile.write(json.dumps(s.get_response()).encode("utf-8"))
+
+
+class TestDatasets(unittest.TestCase):
+    SERVER_ADDRESS = urlparse(os.getenv(_KAGGLE_URL_BASE_ENV_VAR_NAME, default="http://127.0.0.1:8001"))
+
+    def _test_client(self, client_func, expected_path, expected_body, is_tpu=True, success=True):
+        _request = {}
+
+        class GetGcsPathHandler(GcsDatasetsHTTPHandler):
+
+            def set_request(self):
+                _request['path'] = self.path
+                content_len = int(self.headers.get('Content-Length'))
+                _request['body'] = json.loads(self.rfile.read(content_len))
+                _request['headers'] = self.headers
+
+            def get_response(self):
+                if success:
+                    gcs_path = _TPU_GCS_BUCKET if is_tpu else _AUTOML_GCS_BUCKET
+                    return {'result': {
+                        'destinationBucket': gcs_path,
+                        'destinationPath': None}, 'wasSuccessful': "true"}
+                else:
+                    return {'wasSuccessful': "false"}
+
+        env = EnvironmentVarGuard()
+        env.set(_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME, _TEST_JWT)
+        if is_tpu:
+          env.set(_KAGGLE_TPU_NAME_ENV_VAR_NAME, 'FAKE_TPU')
+        with env:
+            with HTTPServer((self.SERVER_ADDRESS.hostname, self.SERVER_ADDRESS.port), GetGcsPathHandler) as httpd:
+                threading.Thread(target=httpd.serve_forever).start()
+
+                try:
+                    client_func()
+                finally:
+                    httpd.shutdown()
+
+                path, headers, body = _request['path'], _request['headers'], _request['body']
+                self.assertEqual(
+                    path,
+                    expected_path,
+                    msg="Fake server did not receive the right request from the KaggleDatasets client.")
+                self.assertEqual(
+                    body,
+                    expected_body,
+                    msg="Fake server did not receive the right body from the KaggleDatasets client.")
+                self.assertIn('Content-Type', headers.keys(),
+                    msg="Fake server did not receive a Content-Type header from the KaggleDatasets client.")
+                self.assertEqual('application/json', headers.get('Content-Type'),
+                    msg="Fake server did not receive an application/json content type header from the KaggleDatasets client.")
+                self.assertIn('Authorization', headers.keys(),
+                    msg="Fake server did not receive an Authorization header from the KaggleDatasets client.")
+                self.assertEqual(f'Bearer {_TEST_JWT}', headers.get('Authorization'),
+                    msg="Fake server did not receive the right Authorization header from the KaggleDatasets client.")
+
+    def test_no_token_fails(self):
+        env = EnvironmentVarGuard()
+        env.unset(_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME)
+        with env:
+            with self.assertRaises(CredentialError):
+                client = KaggleDatasets()
+
+    def test_get_gcs_path_tpu_succeeds(self):
+        def call_get_gcs_path():
+            client = KaggleDatasets()
+            gcs_path = client.get_gcs_path()
+            self.assertEqual(gcs_path, _TPU_GCS_BUCKET)
+        self._test_client(call_get_gcs_path,
+                          '/requests/CopyDatasetVersionToKnownGcsBucketRequest', {'MountSlug': None, 'IntegrationType': 2, 'JWE': _TEST_JWT},
+                          is_tpu=True)
+
+    def test_get_gcs_path_automl_succeeds(self):
+        def call_get_gcs_path():
+            client = KaggleDatasets()
+            gcs_path = client.get_gcs_path()
+            self.assertEqual(gcs_path, _AUTOML_GCS_BUCKET)
+        self._test_client(call_get_gcs_path,
+                          '/requests/CopyDatasetVersionToKnownGcsBucketRequest', {'MountSlug': None, 'IntegrationType': 1, 'JWE': _TEST_JWT},
+                          is_tpu=False)
+
+    def test_get_gcs_path_handles_unsuccessful(self):
+        def call_get_gcs_path():
+            client = KaggleDatasets()
+            with self.assertRaises(BackendError):
+                gcs_path = client.get_gcs_path()
+        self._test_client(call_get_gcs_path,
+                          '/requests/CopyDatasetVersionToKnownGcsBucketRequest', {'MountSlug': None, 'IntegrationType': 2, 'JWE': _TEST_JWT},
+                          is_tpu=True,
+                          success=False)

From 5a545991acf0044384c72341ed1728c4ba641b65 Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@google.com>
Date: Fri, 24 Jan 2020 16:42:04 -0700
Subject: [PATCH 0814/1660] Add the new patch files to the Docker image

---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index a4105ace..eaba5ffd 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -532,6 +532,8 @@ RUN echo "deb [signed-by=/usr/share/keyrings/cloud.google.gpg] http://packages.c
 ENV PYTHONUSERBASE "/root/.local"
 ADD patches/kaggle_gcp.py /root/.local/lib/python3.6/site-packages/kaggle_gcp.py
 ADD patches/kaggle_secrets.py /root/.local/lib/python3.6/site-packages/kaggle_secrets.py
+ADD patches/kaggle_web_client.py /root/.local/lib/python3.6/site-packages/kaggle_web_client.py
+ADD patches/kaggle_datasets.py /root/.local/lib/python3.6/site-packages/kaggle_datasets.py
 ADD patches/log.py /root/.local/lib/python3.6/site-packages/log.py
 ADD patches/sitecustomize.py /root/.local/lib/python3.6/site-packages/sitecustomize.py
 

From 6e23fdf80f1186792470449089a6bf19c8938407 Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@google.com>
Date: Fri, 24 Jan 2020 16:42:42 -0700
Subject: [PATCH 0815/1660] Clean up the test_datasets code

---
 tests/test_datasets.py | 13 ++++++-------
 1 file changed, 6 insertions(+), 7 deletions(-)

diff --git a/tests/test_datasets.py b/tests/test_datasets.py
index e8ae81b4..e956738c 100644
--- a/tests/test_datasets.py
+++ b/tests/test_datasets.py
@@ -5,11 +5,7 @@
 from http.server import BaseHTTPRequestHandler, HTTPServer
 from test.support import EnvironmentVarGuard
 from urllib.parse import urlparse
-from datetime import datetime, timedelta
-import mock
 
-from google.auth.exceptions import DefaultCredentialsError
-from google.cloud import bigquery
 from kaggle_secrets import (_KAGGLE_URL_BASE_ENV_VAR_NAME,
                             _KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME,
                             CredentialError, BackendError, ValidationError)
@@ -107,7 +103,8 @@ def call_get_gcs_path():
             gcs_path = client.get_gcs_path()
             self.assertEqual(gcs_path, _TPU_GCS_BUCKET)
         self._test_client(call_get_gcs_path,
-                          '/requests/CopyDatasetVersionToKnownGcsBucketRequest', {'MountSlug': None, 'IntegrationType': 2, 'JWE': _TEST_JWT},
+                          '/requests/CopyDatasetVersionToKnownGcsBucketRequest',
+                          {'MountSlug': None, 'IntegrationType': 2, 'JWE': _TEST_JWT},
                           is_tpu=True)
 
     def test_get_gcs_path_automl_succeeds(self):
@@ -116,7 +113,8 @@ def call_get_gcs_path():
             gcs_path = client.get_gcs_path()
             self.assertEqual(gcs_path, _AUTOML_GCS_BUCKET)
         self._test_client(call_get_gcs_path,
-                          '/requests/CopyDatasetVersionToKnownGcsBucketRequest', {'MountSlug': None, 'IntegrationType': 1, 'JWE': _TEST_JWT},
+                          '/requests/CopyDatasetVersionToKnownGcsBucketRequest',
+                          {'MountSlug': None, 'IntegrationType': 1, 'JWE': _TEST_JWT},
                           is_tpu=False)
 
     def test_get_gcs_path_handles_unsuccessful(self):
@@ -125,6 +123,7 @@ def call_get_gcs_path():
             with self.assertRaises(BackendError):
                 gcs_path = client.get_gcs_path()
         self._test_client(call_get_gcs_path,
-                          '/requests/CopyDatasetVersionToKnownGcsBucketRequest', {'MountSlug': None, 'IntegrationType': 2, 'JWE': _TEST_JWT},
+                          '/requests/CopyDatasetVersionToKnownGcsBucketRequest',
+                          {'MountSlug': None, 'IntegrationType': 2, 'JWE': _TEST_JWT},
                           is_tpu=True,
                           success=False)

From 9c085910185f58d4bb32a0973cae4136b53f01c7 Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@google.com>
Date: Fri, 24 Jan 2020 16:45:17 -0700
Subject: [PATCH 0816/1660] cleanup

---
 patches/kaggle_web_client.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/patches/kaggle_web_client.py b/patches/kaggle_web_client.py
index ad2b77e2..e8c13ac5 100644
--- a/patches/kaggle_web_client.py
+++ b/patches/kaggle_web_client.py
@@ -1,4 +1,3 @@
-
 import json
 import os
 import socket

From 40fd3ebd511984b01d1c73e198defb854f638c48 Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@google.com>
Date: Fri, 24 Jan 2020 17:41:42 -0700
Subject: [PATCH 0817/1660] Add TODO to cleanup HTTP/JWE code in kaggle_secrets

---
 patches/kaggle_secrets.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index b76df794..4bf64af5 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -67,6 +67,8 @@ def __init__(self):
         self.headers = {'Content-type': 'application/json'}
 
     def _make_post_request(self, data: dict, endpoint: str = GET_USER_SECRET_ENDPOINT) -> dict:
+        # TODO(b/148309982) This code and the code in the constructor should be
+        # removed and this class should use the new KaggleWebClient class instead.
         url = f'{self.url_base}{endpoint}'
         request_body = dict(data)
         request_body['JWE'] = self.jwt_token

From 8857f6262a51585780a5febc75cc46c14a6fa605 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 27 Jan 2020 09:17:22 -0800
Subject: [PATCH 0818/1660] Pin holidays package to version compatible with
 fbprophet

---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 33d9dd50..a78e0144 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -258,6 +258,8 @@ RUN pip install mpld3 && \
     pip install pyexcel-ods && \
     pip install sklearn-pandas && \
     pip install stemming && \
+    # b/148383434 remove pip install for holidays once fbprophet is compatible with latest version of holidays.
+    pip install holidays==0.9.12 && \
     pip install fbprophet && \
     pip install holoviews && \
     # 1.6.2 is not currently supported by the version of matplotlib we are using.

From 8d98059d600b03968f74f2e6af9c06e8b7377343 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 3 Feb 2020 09:17:10 -0800
Subject: [PATCH 0819/1660] pin pandas

---
 Dockerfile | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index a78e0144..19aa9ffb 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -26,6 +26,8 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
 RUN pip install seaborn python-dateutil dask && \
     pip install pyyaml joblib pytagcloud husl geopy ml_metrics mne pyshp && \
     pip install spacy && python -m spacy download en && python -m spacy download en_core_web_lg && \
+    # b/148783763 removes once qgrid and tsfresh supports pandas 1.0.0
+    pip install pandas==0.25.3 && \
     # The apt-get version of imagemagick is out of date and has compatibility issues, so we build from source
     apt-get -y install dbus fontconfig fontconfig-config fonts-dejavu-core fonts-droid-fallback ghostscript gsfonts hicolor-icon-theme \
     libavahi-client3 libavahi-common-data libavahi-common3 libcairo2 libcap-ng0 libcroco3 \
@@ -383,9 +385,6 @@ RUN pip install bcolz && \
     pip install notebook==5.5.0 && \
     pip install olefile && \
     pip install opencv-python && \
-    # tsfresh doesn't work with pandas 0.24, requires >= 0.25: https://github.com/blue-yonder/tsfresh/blob/0ef9123d68e3544ef0217caf83f63f93ad837a61/requirements.txt#L3
-    # b/145358669 remove --upgrade once we upgrade base image which will include pandas >= 0.25 
-    pip install --upgrade pandas && \
     pip install pandas_summary && \
     pip install pandocfilters && \
     pip install pexpect && \

From 81ec4947aac5e5df4c470f045feecb1f4d5f54b8 Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@google.com>
Date: Wed, 5 Feb 2020 09:35:11 -0700
Subject: [PATCH 0820/1660] Increase the timeout for potentially slow web
 request from 90 seconds to 600 seconds

---
 patches/kaggle_web_client.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/patches/kaggle_web_client.py b/patches/kaggle_web_client.py
index e8c13ac5..bc392ff1 100644
--- a/patches/kaggle_web_client.py
+++ b/patches/kaggle_web_client.py
@@ -12,7 +12,7 @@
                             CredentialError, BackendError, ValidationError)
 
 class KaggleWebClient:
-    TIMEOUT_SECS = 90
+    TIMEOUT_SECS = 600
 
     def __init__(self):
         url_base_override = os.getenv(_KAGGLE_URL_BASE_ENV_VAR_NAME)

From 913e44de08a7b7ea4bca16978070f50fb52c9a38 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 6 Feb 2020 18:18:26 +0000
Subject: [PATCH 0821/1660] add tests for plotly_express

---
 tests/test_plotly_express.py | 27 +++++++++++++++++++++++++++
 1 file changed, 27 insertions(+)
 create mode 100644 tests/test_plotly_express.py

diff --git a/tests/test_plotly_express.py b/tests/test_plotly_express.py
new file mode 100644
index 00000000..5ef498b3
--- /dev/null
+++ b/tests/test_plotly_express.py
@@ -0,0 +1,27 @@
+import unittest
+
+import plotly_express as px
+
+class TestPlotlyExpress(unittest.TestCase):
+    
+    def test_basic_scatter_plot(self):
+        gapminder = px.data.gapminder()
+        gapminder2007 = gapminder.query("year == 2007")
+        px.scatter(gapminder2007, x="gdpPercap", y="lifeExp")
+    
+    def test_complex_scatter_plot(self):
+        gapminder = px.data.gapminder()
+        gapminder2007 = gapminder.query("year == 2007")
+        px.scatter(gapminder, x="gdpPercap", y="lifeExp",size="pop", size_max=60, color="continent", hover_name="country", 
+           animation_frame="year", animation_group="country", log_x=True, range_x=[100,100000], range_y=[25,90],
+           labels=dict(pop="Population", gdpPercap="GDP per Capita", lifeExp="Life Expectancy"))
+
+    def test_choropleth_plot(self):
+        gapminder = px.data.gapminder()
+        gapminder2007 = gapminder.query("year == 2007")
+        px.choropleth(gapminder, locations="iso_alpha", color="lifeExp", hover_name="country", animation_frame="year",
+            color_continuous_scale=px.colors.sequential.Plasma, projection="natural earth")
+    
+    def test_violin_plot(self):
+        tips = px.data.tips()
+        px.scatter(tips, x="total_bill", y="tip", color="smoker", trendline="ols", marginal_x="violin", marginal_y="box")

From 69b7a0176529df5c02b013b242bc133833fcb591 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 6 Feb 2020 11:05:05 -0800
Subject: [PATCH 0822/1660] Add clinfo tool

Similar to nvidia-smi but for OpenCL.
---
 gpu.Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index d682f846..8f4e5600 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -44,8 +44,8 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 && \
     /tmp/clean-layer.sh
 
-# Install OpenCL (required by LightGBM GPU version)
-RUN apt-get install -y ocl-icd-libopencl1 && \
+# Install OpenCL (required by LightGBM GPU version) and tools.
+RUN apt-get install -y ocl-icd-libopencl1 clinfo && \
     /tmp/clean-layer.sh
 
 # Install JAX

From d3e37f9f69c76a83b4fe7254e43649102b2d5811 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 6 Feb 2020 13:21:32 -0800
Subject: [PATCH 0823/1660] Install latest version of pip.

We added the pining because pip `20.0.1` introduced an issue with wheels tag matching

pip `20.0.2` has since been released and fixes the issue:
https://github.com/pypa/pip/issues/7626
---
 Dockerfile | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 19aa9ffb..7396c346 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -18,8 +18,7 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     apt-get update && apt-get install -y build-essential unzip cmake && \
     # Work to upgrade to Python 3.7 can be found on this branch: https://github.com/Kaggle/docker-python/blob/upgrade-py37/Dockerfile
     conda install -y python=3.6.6 && \
-    # See b/148097039#comment7
-    pip install pip==19.3.1 && \
+    pip install --upgrade pip && \
     /tmp/clean-layer.sh
 
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.

From 646dd48f39a21c2d946a12f75339857ed5a8ec50 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 7 Feb 2020 01:15:30 +0000
Subject: [PATCH 0824/1660] Use conda to install cuda 10.1 in TF whl

---
 tensorflow-whl/Dockerfile | 58 +++++++++++++++++++++------------------
 1 file changed, 31 insertions(+), 27 deletions(-)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 51996f46..53f0b071 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -1,25 +1,26 @@
-FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04 AS nvidia
+# FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04 AS nvidia
 FROM continuumio/anaconda3:2019.03
 
 # Avoid interactive configuration prompts/dialogs during apt-get.
 ENV DEBIAN_FRONTEND=noninteractive
 
 # This is necessary to for apt to access HTTPS sources
-RUN apt-get update && \
-    apt-get install apt-transport-https
+# RUN apt-get update && \
+#     apt-get install apt-transport-https
 
 # Cuda support
-COPY --from=nvidia /etc/apt/sources.list.d/cuda.list /etc/apt/sources.list.d/
-COPY --from=nvidia /etc/apt/sources.list.d/nvidia-ml.list /etc/apt/sources.list.d/
-COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
+# COPY --from=nvidia /etc/apt/sources.list.d/cuda.list /etc/apt/sources.list.d/
+# COPY --from=nvidia /etc/apt/sources.list.d/nvidia-ml.list /etc/apt/sources.list.d/
+# COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
 
 # Ensure the cuda libraries are compatible with the GPU image.
 # TODO(b/120050292): Use templating to keep in sync.
-ENV CUDA_VERSION=10.0.130
-ENV CUDA_PKG_VERSION=10-0=$CUDA_VERSION-1
-LABEL com.nvidia.volumes.needed="nvidia_driver"
-LABEL com.nvidia.cuda.version="${CUDA_VERSION}"
-ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
+# ENV CUDA_VERSION=10.0.130
+# ENV CUDA_PKG_VERSION=10-0=$CUDA_VERSION-1
+# LABEL com.nvidia.volumes.needed="nvidia_driver"
+# LABEL com.nvidia.cuda.version="${CUDA_VERSION}"
+# TODO(rosbo): Is this needed?
+# ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
 # The stub is useful to us both for built-time linking and run-time linking, on CPU-only systems.
 # When intended to be used with actual GPUs, make sure to (besides providing access to the host
 # CUDA user libraries, either manually or through the use of nvidia-docker) exclude them. One
@@ -28,21 +29,24 @@ ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
 ENV LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs"
 ENV NVIDIA_VISIBLE_DEVICES=all
 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
-ENV NVIDIA_REQUIRE_CUDA="cuda>=10.0"
-RUN apt-get update && apt-get install -y --no-install-recommends \
-      cuda-cupti-$CUDA_PKG_VERSION \
-      cuda-cudart-$CUDA_PKG_VERSION \
-      cuda-cudart-dev-$CUDA_PKG_VERSION \
-      cuda-libraries-$CUDA_PKG_VERSION \
-      cuda-libraries-dev-$CUDA_PKG_VERSION \
-      cuda-nvml-dev-$CUDA_PKG_VERSION \
-      cuda-minimal-build-$CUDA_PKG_VERSION \
-      cuda-command-line-tools-$CUDA_PKG_VERSION \
-      libcudnn7=7.5.0.56-1+cuda10.0 \
-      libcudnn7-dev=7.5.0.56-1+cuda10.0 \
-      libnccl2=2.4.2-1+cuda10.0 \
-      libnccl-dev=2.4.2-1+cuda10.0 && \
-    ln -s /usr/local/cuda-10.0 /usr/local/cuda && \
+ENV NVIDIA_REQUIRE_CUDA="cuda>=10.1"
+# RUN apt-get update && apt-get install -y --no-install-recommends \
+#       cuda-cupti-$CUDA_PKG_VERSION \
+#       cuda-cudart-$CUDA_PKG_VERSION \
+#       cuda-cudart-dev-$CUDA_PKG_VERSION \
+#       cuda-libraries-$CUDA_PKG_VERSION \
+#       cuda-libraries-dev-$CUDA_PKG_VERSION \
+#       cuda-nvml-dev-$CUDA_PKG_VERSION \
+#       cuda-minimal-build-$CUDA_PKG_VERSION \
+#       cuda-command-line-tools-$CUDA_PKG_VERSION \
+#       libcudnn7=7.5.0.56-1+cuda10.0 \
+#       libcudnn7-dev=7.5.0.56-1+cuda10.0 \
+#       libnccl2=2.4.2-1+cuda10.0 \
+#       libnccl-dev=2.4.2-1+cuda10.0 && \
+#     ln -s /usr/local/cuda-10.0 /usr/local/cuda && \
+#     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
+RUN conda install -y cudatoolkit=10.1.243 cudnn=7.6.5 && \
+    conda install -y install nccl=2.5.7.1 -c conda-forge && \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
 
 # Work to upgrade to Python 3.7 can be found on this branch: https://github.com/Kaggle/docker-python/blob/upgrade-py37/Dockerfile
@@ -75,7 +79,7 @@ RUN cd /usr/local/src/tensorflow && \
 
 # Create a tensorflow wheel for GPU/cuda
 ENV TF_NEED_CUDA=1
-ENV TF_CUDA_VERSION=10.0
+ENV TF_CUDA_VERSION=10.1
 # 3.7 is for the K80 and 6.0 is for the P100, 7.5 is for the T4: https://developer.nvidia.com/cuda-gpus
 ENV TF_CUDA_COMPUTE_CAPABILITIES=3.7,6.0,7.5
 ENV TF_CUDNN_VERSION=7

From 20871e8b7545a8547f259f100c60060e8f23f743 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 7 Feb 2020 11:58:42 -0800
Subject: [PATCH 0825/1660] Remove extraneous pip install command

---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 7396c346..406c82c9 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -463,7 +463,6 @@ RUN pip install flashtext && \
     pip install rgf_python && \
     # b/145404107: latest version force specific version of numpy and torch.
     pip install pytext-nlp==0.1.2 && \
-    pip install pytext-nlp && \
     pip install tsfresh && \
     pip install pymagnitude && \
     pip install pykalman && \

From c1e0bc73bc280c29ddd3dd79a0c8f4e54b8b967a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 7 Feb 2020 12:12:53 -0800
Subject: [PATCH 0826/1660] Unpin pyproj

Latest version has fixed the issue requiring the pin in the first place.

BUG=144569992
---
 Dockerfile | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 406c82c9..25eb99f5 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -118,8 +118,7 @@ ENV LD_LIBRARY_PATH=/opt/conda/lib
 RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
     pip install matplotlib && \
     pip install pyshp && \
-    # b/144569992 pyproj 2.4.1 is failing to install because of missing METADATA file.
-    pip install pyproj==2.4.0 && \
+    pip install pyproj && \
     conda install basemap && \
     # sasl is apparently an ibis dependency
     apt-get -y install libsasl2-dev && \

From 63ed10aa2751abde0261b7bc80ac783d1554de0c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 7 Feb 2020 12:15:24 -0800
Subject: [PATCH 0827/1660] Unpin flake8

The latest version requires entrypoint >= 3 which is already satisfied in the base image which doesn't trigger a distutil reinstall.
---
 Dockerfile | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 406c82c9..a12d30ba 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -62,10 +62,7 @@ RUN apt-get install -y libfreetype6-dev && \
     pip install keras-rl && \
     #keras-rcnn
     pip install git+https://github.com/broadinstitute/keras-rcnn && \
-    # version 3.7.1 adds a dependency on entrypoints > 3. This causes a reinstall but fails because
-    # it is a distutils package and can't be uninstalled. Once the anaconda image in updated, this
-    # pin should be removed.
-    pip install flake8==3.6.0 && \
+    pip install flake8 && \
     #neon
     cd /usr/local/src && \
     git clone --depth 1 https://github.com/NervanaSystems/neon.git && \

From 1092e1e803b4ee46c3af0010c0cd51c9b95614fc Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 7 Feb 2020 12:26:05 -0800
Subject: [PATCH 0828/1660] Unpin cesium

cesium 0.9.10 required `scikit-learn==0.20.0` which was causing an unwanted downgrade of this library.

cesium has since released a new version (0.9.12) which requires `scikit-learn>=0.22.1` which doesn't cause a downgrade. This requirement is already satisfied.
---
 Dockerfile | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 406c82c9..aa046569 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -458,8 +458,7 @@ RUN pip install flashtext && \
     pip install jieba  && \
     pip install git+https://github.com/SauceCat/PDPbox && \
     pip install ggplot && \
-    # b/145856222 cesium 0.9.10 forces a downgrade of scikit-learn.
-    pip install cesium==0.9.9 && \
+    pip install cesium && \
     pip install rgf_python && \
     # b/145404107: latest version force specific version of numpy and torch.
     pip install pytext-nlp==0.1.2 && \

From 65379d54c55b9b024fd5709765501f1cae748b53 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 7 Feb 2020 12:35:30 -0800
Subject: [PATCH 0829/1660] Remove manual install of allennlp dependencies

The dependency on `PyYAML` causing issue has been removed: https://github.com/aws/aws-cli/issues/4042

See #548 and https://github.com/aws/aws-cli/issues/4042
---
 Dockerfile | 12 +-----------
 1 file changed, 1 insertion(+), 11 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 406c82c9..e83da8ef 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -412,17 +412,7 @@ RUN pip install bcolz && \
     pip install feather-format && \
     pip install fastai && \
     pip install torchtext && \
-    /tmp/clean-layer.sh
-
-# allennlp and dependencies
-# TODO: install deps when underlying dependency is fixed. https://github.com/Kaggle/docker-python/issues/548
-RUN pip install jsonnet overrides tensorboardX && \
-    pip install flask>=1.0.2 flask-cors>=3.0.7 gevent>=1.3.6 && \
-    pip install unidecode parsimonious>=0.8.0 sqlparse>=0.2.4 word2number>=1.1 && \
-    pip install pytorch-pretrained-bert>=0.6.0 pytorch-transformers==1.1.0 jsonpickle && \
-    pip install requests>=2.18 editdistance conllu==0.11 && \
-    pip install conllu==1.3.1 ftfy && \
-    pip install --no-dependencies allennlp && \
+    pip install allennlp && \
     /tmp/clean-layer.sh
 
     ###########

From 9be1554335b6899a079002769528d9064905465b Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 7 Feb 2020 23:29:36 +0000
Subject: [PATCH 0830/1660] Upgrade to cuda 10.1

---
 tensorflow-whl/Dockerfile | 54 ++++++++++++++++++---------------------
 1 file changed, 25 insertions(+), 29 deletions(-)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 53f0b071..7262a8b1 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -1,26 +1,25 @@
-# FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04 AS nvidia
+FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu16.04 AS nvidia
 FROM continuumio/anaconda3:2019.03
 
 # Avoid interactive configuration prompts/dialogs during apt-get.
 ENV DEBIAN_FRONTEND=noninteractive
 
 # This is necessary to for apt to access HTTPS sources
-# RUN apt-get update && \
-#     apt-get install apt-transport-https
+RUN apt-get update && \
+    apt-get install apt-transport-https
 
 # Cuda support
-# COPY --from=nvidia /etc/apt/sources.list.d/cuda.list /etc/apt/sources.list.d/
-# COPY --from=nvidia /etc/apt/sources.list.d/nvidia-ml.list /etc/apt/sources.list.d/
-# COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
+COPY --from=nvidia /etc/apt/sources.list.d/cuda.list /etc/apt/sources.list.d/
+COPY --from=nvidia /etc/apt/sources.list.d/nvidia-ml.list /etc/apt/sources.list.d/
+COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
 
 # Ensure the cuda libraries are compatible with the GPU image.
 # TODO(b/120050292): Use templating to keep in sync.
-# ENV CUDA_VERSION=10.0.130
-# ENV CUDA_PKG_VERSION=10-0=$CUDA_VERSION-1
-# LABEL com.nvidia.volumes.needed="nvidia_driver"
-# LABEL com.nvidia.cuda.version="${CUDA_VERSION}"
-# TODO(rosbo): Is this needed?
-# ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
+ENV CUDA_VERSION=10.1.243
+ENV CUDA_PKG_VERSION=10-1=$CUDA_VERSION-1
+LABEL com.nvidia.volumes.needed="nvidia_driver"
+LABEL com.nvidia.cuda.version="${CUDA_VERSION}"
+ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
 # The stub is useful to us both for built-time linking and run-time linking, on CPU-only systems.
 # When intended to be used with actual GPUs, make sure to (besides providing access to the host
 # CUDA user libraries, either manually or through the use of nvidia-docker) exclude them. One
@@ -30,23 +29,20 @@ ENV LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/nvidia/lib64:/usr/local/cuda/
 ENV NVIDIA_VISIBLE_DEVICES=all
 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
 ENV NVIDIA_REQUIRE_CUDA="cuda>=10.1"
-# RUN apt-get update && apt-get install -y --no-install-recommends \
-#       cuda-cupti-$CUDA_PKG_VERSION \
-#       cuda-cudart-$CUDA_PKG_VERSION \
-#       cuda-cudart-dev-$CUDA_PKG_VERSION \
-#       cuda-libraries-$CUDA_PKG_VERSION \
-#       cuda-libraries-dev-$CUDA_PKG_VERSION \
-#       cuda-nvml-dev-$CUDA_PKG_VERSION \
-#       cuda-minimal-build-$CUDA_PKG_VERSION \
-#       cuda-command-line-tools-$CUDA_PKG_VERSION \
-#       libcudnn7=7.5.0.56-1+cuda10.0 \
-#       libcudnn7-dev=7.5.0.56-1+cuda10.0 \
-#       libnccl2=2.4.2-1+cuda10.0 \
-#       libnccl-dev=2.4.2-1+cuda10.0 && \
-#     ln -s /usr/local/cuda-10.0 /usr/local/cuda && \
-#     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
-RUN conda install -y cudatoolkit=10.1.243 cudnn=7.6.5 && \
-    conda install -y install nccl=2.5.7.1 -c conda-forge && \
+RUN apt-get update && apt-get install -y --no-install-recommends \
+      cuda-cupti-$CUDA_PKG_VERSION \
+      cuda-cudart-$CUDA_PKG_VERSION \
+      cuda-cudart-dev-$CUDA_PKG_VERSION \
+      cuda-libraries-$CUDA_PKG_VERSION \
+      cuda-libraries-dev-$CUDA_PKG_VERSION \
+      cuda-nvml-dev-$CUDA_PKG_VERSION \
+      cuda-minimal-build-$CUDA_PKG_VERSION \
+      cuda-command-line-tools-$CUDA_PKG_VERSION \
+      libcudnn7=7.6.5.32-1+cuda10.1 \
+      libcudnn7-dev=7.6.5.32-1+cuda10.1 \
+      libnccl2=2.5.6-1+cuda10.1 \
+      libnccl-dev=2.5.6-1+cuda10.1 && \
+    ln -s /usr/local/cuda-10.1 /usr/local/cuda && \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
 
 # Work to upgrade to Python 3.7 can be found on this branch: https://github.com/Kaggle/docker-python/blob/upgrade-py37/Dockerfile

From 68f76bf9bd6e4d7ec31dc95caf5b31801a3ac5bb Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Sat, 8 Feb 2020 01:20:05 +0000
Subject: [PATCH 0831/1660] Use semaphore to control access to GPU in tests

---
 tests/common.py     |  5 ++++
 tests/test_keras.py | 63 +++++++++++++++++++++++----------------------
 2 files changed, 37 insertions(+), 31 deletions(-)

diff --git a/tests/common.py b/tests/common.py
index 823212a2..bc0e4c48 100644
--- a/tests/common.py
+++ b/tests/common.py
@@ -3,4 +3,9 @@
 import os
 import unittest
 
+from threading import BoundedSemaphore
+
 gpu_test = unittest.skipIf(len(os.environ.get('CUDA_VERSION', '')) == 0, 'Not running GPU tests')
+
+# Tests using the GPU heavily must not be run concurrently.
+gpu_semaphore = BoundedSemaphore(1)
diff --git a/tests/test_keras.py b/tests/test_keras.py
index ea221113..aafff62d 100644
--- a/tests/test_keras.py
+++ b/tests/test_keras.py
@@ -9,7 +9,7 @@
 from keras.optimizers import RMSprop, SGD
 from keras.utils.np_utils import to_categorical
 
-from common import gpu_test
+from common import gpu_test, gpu_semaphore
 
 class TestKeras(unittest.TestCase):
     def test_train(self):
@@ -30,36 +30,37 @@ def test_train(self):
 
     # Uses convnet which depends on libcudnn when running on GPU
     def test_conv2d(self):
-        # Generate dummy data
-        x_train = np.random.random((100, 100, 100, 3))
-        y_train = keras.utils.to_categorical(np.random.randint(10, size=(100, 1)), num_classes=10)
-        x_test = np.random.random((20, 100, 100, 3))
-        y_test = keras.utils.to_categorical(np.random.randint(10, size=(20, 1)), num_classes=10)
-
-        model = Sequential()
-        # input: 100x100 images with 3 channels -> (100, 100, 3) tensors.
-        # this applies 32 convolution filters of size 3x3 each.
-        model.add(Conv2D(32, (3, 3), activation='relu', input_shape=(100, 100, 3)))
-        model.add(Conv2D(32, (3, 3), activation='relu'))
-        model.add(MaxPooling2D(pool_size=(2, 2)))
-        model.add(Dropout(0.25))
-
-        model.add(Conv2D(64, (3, 3), activation='relu'))
-        model.add(Conv2D(64, (3, 3), activation='relu'))
-        model.add(MaxPooling2D(pool_size=(2, 2)))
-        model.add(Dropout(0.25))
-
-        model.add(Flatten())
-        model.add(Dense(256, activation='relu'))
-        model.add(Dropout(0.5))
-        model.add(Dense(10, activation='softmax'))
-
-        sgd = SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
-
-        # This throws if libcudnn is not properly installed with on a GPU
-        model.compile(loss='categorical_crossentropy', optimizer=sgd)
-        model.fit(x_train, y_train, batch_size=32, epochs=1)
-        model.evaluate(x_test, y_test, batch_size=32)
+        with gpu_semaphore:
+            # Generate dummy data
+            x_train = np.random.random((100, 100, 100, 3))
+            y_train = keras.utils.to_categorical(np.random.randint(10, size=(100, 1)), num_classes=10)
+            x_test = np.random.random((20, 100, 100, 3))
+            y_test = keras.utils.to_categorical(np.random.randint(10, size=(20, 1)), num_classes=10)
+
+            model = Sequential()
+            # input: 100x100 images with 3 channels -> (100, 100, 3) tensors.
+            # this applies 32 convolution filters of size 3x3 each.
+            model.add(Conv2D(32, (3, 3), activation='relu', input_shape=(100, 100, 3)))
+            model.add(Conv2D(32, (3, 3), activation='relu'))
+            model.add(MaxPooling2D(pool_size=(2, 2)))
+            model.add(Dropout(0.25))
+
+            model.add(Conv2D(64, (3, 3), activation='relu'))
+            model.add(Conv2D(64, (3, 3), activation='relu'))
+            model.add(MaxPooling2D(pool_size=(2, 2)))
+            model.add(Dropout(0.25))
+
+            model.add(Flatten())
+            model.add(Dense(256, activation='relu'))
+            model.add(Dropout(0.5))
+            model.add(Dense(10, activation='softmax'))
+
+            sgd = SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
+
+            # This throws if libcudnn is not properly installed with on a GPU
+            model.compile(loss='categorical_crossentropy', optimizer=sgd)
+            model.fit(x_train, y_train, batch_size=32, epochs=1)
+            model.evaluate(x_test, y_test, batch_size=32)
 
     # Tensorflow 2.0 doesn't support the contrib package.
     #

From 4cd57a8f27c2e6b47b50ad074ce951c4d71fda7b Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 13 Jan 2020 14:35:25 -0800
Subject: [PATCH 0832/1660] Install LightGBM with GPU support

---
 gpu.Dockerfile         | 19 +++++++++++++--
 tests/test_keras.py    | 55 +++++++++++++++++++++---------------------
 tests/test_lightgbm.py | 35 ++++++++++++++++++++++++++-
 3 files changed, 79 insertions(+), 30 deletions(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 8f4e5600..3b069fee 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -44,8 +44,23 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 && \
     /tmp/clean-layer.sh
 
-# Install OpenCL (required by LightGBM GPU version) and tools.
-RUN apt-get install -y ocl-icd-libopencl1 clinfo && \
+# Install OpenCL & libboost (required by LightGBM GPU version)
+RUN apt-get install -y ocl-icd-libopencl1 clinfo libboost-all-dev && \
+    mkdir -p /etc/OpenCL/vendors && \
+    echo "libnvidia-opencl.so.1" > /etc/OpenCL/vendors/nvidia.icd && \
+    /tmp/clean-layer.sh
+
+# Install LightGBM with GPU
+RUN pip uninstall -y lightgbm && \
+    cd /usr/local/src && \
+    git clone --recursive https://github.com/microsoft/LightGBM && \
+    cd LightGBM && \
+    git checkout tags/v2.3.1 && \
+    mkdir build && cd build && \
+    cmake -DUSE_GPU=1 -DOpenCL_LIBRARY=/usr/local/cuda/lib64/libOpenCL.so -DOpenCL_INCLUDE_DIR=/usr/local/cuda/include/ .. && \
+    make -j$(nproc) && \
+    cd /usr/local/src/LightGBM/python-package && \
+    python setup.py install --precompile && \
     /tmp/clean-layer.sh
 
 # Install JAX
diff --git a/tests/test_keras.py b/tests/test_keras.py
index aafff62d..2f310afe 100644
--- a/tests/test_keras.py
+++ b/tests/test_keras.py
@@ -30,37 +30,38 @@ def test_train(self):
 
     # Uses convnet which depends on libcudnn when running on GPU
     def test_conv2d(self):
-        with gpu_semaphore:
-            # Generate dummy data
-            x_train = np.random.random((100, 100, 100, 3))
-            y_train = keras.utils.to_categorical(np.random.randint(10, size=(100, 1)), num_classes=10)
-            x_test = np.random.random((20, 100, 100, 3))
-            y_test = keras.utils.to_categorical(np.random.randint(10, size=(20, 1)), num_classes=10)
-
-            model = Sequential()
-            # input: 100x100 images with 3 channels -> (100, 100, 3) tensors.
-            # this applies 32 convolution filters of size 3x3 each.
-            model.add(Conv2D(32, (3, 3), activation='relu', input_shape=(100, 100, 3)))
-            model.add(Conv2D(32, (3, 3), activation='relu'))
-            model.add(MaxPooling2D(pool_size=(2, 2)))
-            model.add(Dropout(0.25))
-
-            model.add(Conv2D(64, (3, 3), activation='relu'))
-            model.add(Conv2D(64, (3, 3), activation='relu'))
-            model.add(MaxPooling2D(pool_size=(2, 2)))
-            model.add(Dropout(0.25))
-
-            model.add(Flatten())
-            model.add(Dense(256, activation='relu'))
-            model.add(Dropout(0.5))
-            model.add(Dense(10, activation='softmax'))
-
-            sgd = SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
+        # Generate dummy data
+        x_train = np.random.random((100, 100, 100, 3))
+        y_train = keras.utils.to_categorical(np.random.randint(10, size=(100, 1)), num_classes=10)
+        x_test = np.random.random((20, 100, 100, 3))
+        y_test = keras.utils.to_categorical(np.random.randint(10, size=(20, 1)), num_classes=10)
+
+        model = Sequential()
+        # input: 100x100 images with 3 channels -> (100, 100, 3) tensors.
+        # this applies 32 convolution filters of size 3x3 each.
+        model.add(Conv2D(32, (3, 3), activation='relu', input_shape=(100, 100, 3)))
+        model.add(Conv2D(32, (3, 3), activation='relu'))
+        model.add(MaxPooling2D(pool_size=(2, 2)))
+        model.add(Dropout(0.25))
+
+        model.add(Conv2D(64, (3, 3), activation='relu'))
+        model.add(Conv2D(64, (3, 3), activation='relu'))
+        model.add(MaxPooling2D(pool_size=(2, 2)))
+        model.add(Dropout(0.25))
 
+        model.add(Flatten())
+        model.add(Dense(256, activation='relu'))
+        model.add(Dropout(0.5))
+        model.add(Dense(10, activation='softmax'))
+
+        sgd = SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
+
+        with gpu_semaphore:
             # This throws if libcudnn is not properly installed with on a GPU
             model.compile(loss='categorical_crossentropy', optimizer=sgd)
             model.fit(x_train, y_train, batch_size=32, epochs=1)
-            model.evaluate(x_test, y_test, batch_size=32)
+        
+        model.evaluate(x_test, y_test, batch_size=32)
 
     # Tensorflow 2.0 doesn't support the contrib package.
     #
diff --git a/tests/test_lightgbm.py b/tests/test_lightgbm.py
index 213eb0ca..0ae8ba5b 100644
--- a/tests/test_lightgbm.py
+++ b/tests/test_lightgbm.py
@@ -2,12 +2,13 @@
 
 import lightgbm as lgb
 
+from common import gpu_test, gpu_semaphore
 from sklearn.datasets import load_iris
 
 class TestLightgbm(unittest.TestCase):
     # Based on the "simple_example" from their documentation:
     # https://github.com/Microsoft/LightGBM/blob/master/examples/python-guide/simple_example.py
-    def test_simple(self):
+    def test_cpu(self):
         # Load a dataset aleady on disk
         iris = load_iris()
 
@@ -35,3 +36,35 @@ def test_simple(self):
                         early_stopping_rounds=1)
 
         self.assertEqual(1, gbm.best_iteration)
+
+    @gpu_test
+    def test_gpu(self):
+        # Load a dataset aleady on disk
+        iris = load_iris()
+
+        lgb_train = lgb.Dataset(iris.data[:100], iris.target[:100])
+        lgb_eval = lgb.Dataset(iris.data[100:], iris.target[100:], reference=lgb_train)
+
+        params = {
+            'task': 'train',
+            'boosting_type': 'gbdt',
+            'objective': 'regression',
+            'metric': {'l2', 'auc'},
+            'num_leaves': 31,
+            'learning_rate': 0.05,
+            'feature_fraction': 0.9,
+            'bagging_fraction': 0.8,
+            'bagging_freq': 5,
+            'verbose': 0,
+            'device': 'gpu'
+        }
+        
+        with gpu_semaphore:
+            # Run only one round for faster test
+            gbm = lgb.train(params,
+                            lgb_train,
+                            num_boost_round=1,
+                            valid_sets=lgb_eval,
+                            early_stopping_rounds=1)
+
+        self.assertEqual(1, gbm.best_iteration)

From b2737cc1b18d459d5fc0257240792dfafcf00777 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 21 Jan 2020 18:36:55 +0000
Subject: [PATCH 0833/1660] create a libnvidia-opencl.so.1 file after install
 lightgbm

---
 gpu.Dockerfile         | 2 ++
 tests/test_lightgbm.py | 5 ++---
 2 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 3b069fee..bcf7f3ff 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -61,6 +61,8 @@ RUN pip uninstall -y lightgbm && \
     make -j$(nproc) && \
     cd /usr/local/src/LightGBM/python-package && \
     python setup.py install --precompile && \
+    mkdir -p /etc/OpenCL/vendors && \
+    echo "libnvidia-opencl.so.1" > /etc/OpenCL/vendors/nvidia.icd && \
     /tmp/clean-layer.sh
 
 # Install JAX
diff --git a/tests/test_lightgbm.py b/tests/test_lightgbm.py
index 0ae8ba5b..1c5a0599 100644
--- a/tests/test_lightgbm.py
+++ b/tests/test_lightgbm.py
@@ -46,16 +46,15 @@ def test_gpu(self):
         lgb_eval = lgb.Dataset(iris.data[100:], iris.target[100:], reference=lgb_train)
 
         params = {
-            'task': 'train',
             'boosting_type': 'gbdt',
             'objective': 'regression',
-            'metric': {'l2', 'auc'},
+            'metric': 'auc',
             'num_leaves': 31,
             'learning_rate': 0.05,
             'feature_fraction': 0.9,
             'bagging_fraction': 0.8,
             'bagging_freq': 5,
-            'verbose': 0,
+            'verbose': 1,
             'device': 'gpu'
         }
         

From ec75b79806a5b795a0b4324b130f71afee76b1b5 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 6 Feb 2020 19:24:19 +0000
Subject: [PATCH 0834/1660] increase size of /dev/shm when running tests

---
 test | 1 +
 1 file changed, 1 insertion(+)

diff --git a/test b/test
index 44c0ad71..960a5f8b 100755
--- a/test
+++ b/test
@@ -89,6 +89,7 @@ docker run --rm -t --read-only --net=none \
     -e KAGGLE_URL_BASE=http://127.0.0.1:8001 \
     -e KAGGLE_DATA_PROXY_URL=http://127.0.0.1:8000 \
     -e KAGGLE_DATA_PROXY_PROJECT=test \
+    --shm-size=2g \
     -v $PWD:/input:ro -v /tmp/python-build/working:/working \
     -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm \
     -w=/working \

From 65e31c3c702d2405b03686b427c872b4c4b7e236 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 6 Feb 2020 23:22:59 +0000
Subject: [PATCH 0835/1660] load lightgbm dataset from file

---
 tests/data/lgb_test.bin  | Bin 0 -> 1528 bytes
 tests/data/lgb_train.bin | Bin 0 -> 1903 bytes
 tests/test_lightgbm.py   |  15 ++++-----------
 3 files changed, 4 insertions(+), 11 deletions(-)
 create mode 100644 tests/data/lgb_test.bin
 create mode 100644 tests/data/lgb_train.bin

diff --git a/tests/data/lgb_test.bin b/tests/data/lgb_test.bin
new file mode 100644
index 0000000000000000000000000000000000000000..55f068339807baccfc8e51a4c0f4558c249ed695
GIT binary patch
literal 1528
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z_VQ$Bv%Rr<dvog3ZGLuvd0DeM!J-IbJvcq~=%JHO+C>)a!Y04NeFtQSI~%apJyt42
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literal 0
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diff --git a/tests/data/lgb_train.bin b/tests/data/lgb_train.bin
new file mode 100644
index 0000000000000000000000000000000000000000..24b519819edb287b03576e46dbeea0b50f7dc66f
GIT binary patch
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diff --git a/tests/test_lightgbm.py b/tests/test_lightgbm.py
index 1c5a0599..675f344b 100644
--- a/tests/test_lightgbm.py
+++ b/tests/test_lightgbm.py
@@ -3,17 +3,13 @@
 import lightgbm as lgb
 
 from common import gpu_test, gpu_semaphore
-from sklearn.datasets import load_iris
 
 class TestLightgbm(unittest.TestCase):
     # Based on the "simple_example" from their documentation:
     # https://github.com/Microsoft/LightGBM/blob/master/examples/python-guide/simple_example.py
     def test_cpu(self):
-        # Load a dataset aleady on disk
-        iris = load_iris()
-
-        lgb_train = lgb.Dataset(iris.data[:100], iris.target[:100])
-        lgb_eval = lgb.Dataset(iris.data[100:], iris.target[100:], reference=lgb_train)
+        lgb_train = lgb.Dataset('/input/tests/data/lgb_train.bin')
+        lgb_eval = lgb.Dataset('/input/tests/data/lgb_test.bin', reference=lgb_train)
 
         params = {
             'task': 'train',
@@ -39,11 +35,8 @@ def test_cpu(self):
 
     @gpu_test
     def test_gpu(self):
-        # Load a dataset aleady on disk
-        iris = load_iris()
-
-        lgb_train = lgb.Dataset(iris.data[:100], iris.target[:100])
-        lgb_eval = lgb.Dataset(iris.data[100:], iris.target[100:], reference=lgb_train)
+        lgb_train = lgb.Dataset('/input/tests/data/lgb_train.bin')
+        lgb_eval = lgb.Dataset('/input/tests/data/lgb_test.bin', reference=lgb_train)
 
         params = {
             'boosting_type': 'gbdt',

From fe74a0d14eb6f718f52216268c042962129e1524 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Sat, 8 Feb 2020 01:33:14 +0000
Subject: [PATCH 0836/1660] Pin CPU lightgbm version

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index d86fbdea..76533cb8 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -56,7 +56,8 @@ RUN apt-get install -y libfreetype6-dev && \
     pip install wordcloud && \
     conda install -y -c conda-forge python-igraph && \
     pip install xgboost && \
-    pip install lightgbm && \
+    # Pinned to match GPU version. Update version together.
+    pip install lightgbm==2.3.1 && \
     pip install git+git://github.com/Lasagne/Lasagne.git && \
     pip install keras && \
     pip install keras-rl && \

From ddb02cdddd026944dc63a7ab157f5c110afa9866 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Sat, 8 Feb 2020 03:08:18 +0000
Subject: [PATCH 0837/1660] Allocate TensorFlow GPU memory as needed

---
 test                   |  5 +++++
 tests/common.py        |  5 -----
 tests/test_keras.py    |  9 ++++-----
 tests/test_lightgbm.py | 15 +++++++--------
 4 files changed, 16 insertions(+), 18 deletions(-)

diff --git a/test b/test
index 960a5f8b..c1d0c8f5 100755
--- a/test
+++ b/test
@@ -83,12 +83,17 @@ if [ $PATTERN == 'test*.py' ]; then
     docker kill jupyter_test && docker rm jupyter_test
 fi
 
+# Note about `TF_FORCE_GPU_ALLOW_GROWTH`. This allocate memory at runtime as needed.
+# By default, TensorFlow maps nearly all of the GPU memory visible to the process.
+# This is causing issue when other libraries are trying to run tests using a GPU.
+# See: https://www.tensorflow.org/guide/gpu#allowing_gpu_memory_growth
 docker run --rm -t --read-only --net=none \
     -e HOME=/tmp -e KAGGLE_DATA_PROXY_TOKEN=test-key \
     -e KAGGLE_USER_SECRETS_TOKEN_KEY=test-secrets-key \
     -e KAGGLE_URL_BASE=http://127.0.0.1:8001 \
     -e KAGGLE_DATA_PROXY_URL=http://127.0.0.1:8000 \
     -e KAGGLE_DATA_PROXY_PROJECT=test \
+    -e TF_FORCE_GPU_ALLOW_GROWTH=true \
     --shm-size=2g \
     -v $PWD:/input:ro -v /tmp/python-build/working:/working \
     -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm \
diff --git a/tests/common.py b/tests/common.py
index bc0e4c48..823212a2 100644
--- a/tests/common.py
+++ b/tests/common.py
@@ -3,9 +3,4 @@
 import os
 import unittest
 
-from threading import BoundedSemaphore
-
 gpu_test = unittest.skipIf(len(os.environ.get('CUDA_VERSION', '')) == 0, 'Not running GPU tests')
-
-# Tests using the GPU heavily must not be run concurrently.
-gpu_semaphore = BoundedSemaphore(1)
diff --git a/tests/test_keras.py b/tests/test_keras.py
index 2f310afe..8c4a1020 100644
--- a/tests/test_keras.py
+++ b/tests/test_keras.py
@@ -9,7 +9,7 @@
 from keras.optimizers import RMSprop, SGD
 from keras.utils.np_utils import to_categorical
 
-from common import gpu_test, gpu_semaphore
+from common import gpu_test
 
 class TestKeras(unittest.TestCase):
     def test_train(self):
@@ -56,10 +56,9 @@ def test_conv2d(self):
 
         sgd = SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
 
-        with gpu_semaphore:
-            # This throws if libcudnn is not properly installed with on a GPU
-            model.compile(loss='categorical_crossentropy', optimizer=sgd)
-            model.fit(x_train, y_train, batch_size=32, epochs=1)
+        # This throws if libcudnn is not properly installed with on a GPU
+        model.compile(loss='categorical_crossentropy', optimizer=sgd)
+        model.fit(x_train, y_train, batch_size=32, epochs=1)
         
         model.evaluate(x_test, y_test, batch_size=32)
 
diff --git a/tests/test_lightgbm.py b/tests/test_lightgbm.py
index 675f344b..694010a9 100644
--- a/tests/test_lightgbm.py
+++ b/tests/test_lightgbm.py
@@ -2,7 +2,7 @@
 
 import lightgbm as lgb
 
-from common import gpu_test, gpu_semaphore
+from common import gpu_test
 
 class TestLightgbm(unittest.TestCase):
     # Based on the "simple_example" from their documentation:
@@ -51,12 +51,11 @@ def test_gpu(self):
             'device': 'gpu'
         }
         
-        with gpu_semaphore:
-            # Run only one round for faster test
-            gbm = lgb.train(params,
-                            lgb_train,
-                            num_boost_round=1,
-                            valid_sets=lgb_eval,
-                            early_stopping_rounds=1)
+        # Run only one round for faster test
+        gbm = lgb.train(params,
+                        lgb_train,
+                        num_boost_round=1,
+                        valid_sets=lgb_eval,
+                        early_stopping_rounds=1)
 
         self.assertEqual(1, gbm.best_iteration)

From 8de8bd0648676d80f33ac8f498234a398819f8e1 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 10 Feb 2020 17:57:47 +0000
Subject: [PATCH 0838/1660] Upgrade to CUDA 10.1

---
 Dockerfile                  |  2 +-
 gpu.Dockerfile              | 31 +++++++++++++++++--------------
 tensorflow-whl/CHANGELOG.md |  1 +
 3 files changed, 19 insertions(+), 15 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 76533cb8..406cae46 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=2019.03
 ARG TENSORFLOW_VERSION=2.1.0
 
-FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py36 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py36-2 as tensorflow_whl
 FROM continuumio/anaconda3:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index bcf7f3ff..03920a1f 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=staging
 
-FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04 AS nvidia
-FROM gcr.io/kaggle-images/python-tensorflow-whl:2.1.0-py36 as tensorflow_whl
+FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu16.04 AS nvidia
+FROM gcr.io/kaggle-images/python-tensorflow-whl:2.1.0-py36-2 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
@@ -13,8 +13,11 @@ COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
 
 # Ensure the cuda libraries are compatible with the custom Tensorflow wheels.
 # TODO(b/120050292): Use templating to keep in sync or COPY installed binaries from it.
-ENV CUDA_VERSION=10.0.130
-ENV CUDA_PKG_VERSION=10-0=$CUDA_VERSION-1
+ENV CUDA_MAJOR_VERSION=10
+ENV CUDA_MINOR_VERSION=1
+ENV CUDA_PATCH_VERSION=243
+ENV CUDA_VERSION=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION.$CUDA_PATCH_VERSION
+ENV CUDA_PKG_VERSION=$CUDA_MAJOR_VERSION-$CUDA_MINOR_VERSION=$CUDA_VERSION-1
 LABEL com.nvidia.volumes.needed="nvidia_driver"
 LABEL com.nvidia.cuda.version="${CUDA_VERSION}"
 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
@@ -26,7 +29,7 @@ ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
 ENV LD_LIBRARY_PATH="/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs"
 ENV NVIDIA_VISIBLE_DEVICES=all
 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
-ENV NVIDIA_REQUIRE_CUDA="cuda>=10.0"
+ENV NVIDIA_REQUIRE_CUDA="cuda>=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION"
 RUN apt-get update && apt-get install -y --no-install-recommends \
       cuda-cupti-$CUDA_PKG_VERSION \
       cuda-cudart-$CUDA_PKG_VERSION \
@@ -36,11 +39,11 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
       cuda-nvml-dev-$CUDA_PKG_VERSION \
       cuda-minimal-build-$CUDA_PKG_VERSION \
       cuda-command-line-tools-$CUDA_PKG_VERSION \
-      libcudnn7=7.5.0.56-1+cuda10.0 \
-      libcudnn7-dev=7.5.0.56-1+cuda10.0 \
-      libnccl2=2.4.2-1+cuda10.0 \
-      libnccl-dev=2.4.2-1+cuda10.0 && \
-    ln -s /usr/local/cuda-10.0 /usr/local/cuda && \
+      libcudnn7=7.6.5.32-1+cuda$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION \
+      libcudnn7-dev=7.6.5.32-1+cuda$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION \
+      libnccl2=2.5.6-1+cuda$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION \
+      libnccl-dev=2.5.6-1+cuda$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION && \
+    ln -s /usr/local/cuda-$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION /usr/local/cuda && \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 && \
     /tmp/clean-layer.sh
 
@@ -67,7 +70,7 @@ RUN pip uninstall -y lightgbm && \
 
 # Install JAX
 ENV JAX_PYTHON_VERSION=cp36
-ENV JAX_CUDA_VERSION=cuda100
+ENV JAX_CUDA_VERSION=cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION
 ENV JAX_PLATFORM=linux_x86_64
 ENV JAX_BASE_URL="https://storage.googleapis.com/jax-releases"
 
@@ -80,15 +83,15 @@ RUN pip uninstall -y tensorflow && \
     pip install /tmp/tensorflow_gpu/tensorflow*.whl && \
     rm -rf /tmp/tensorflow_gpu && \
     conda remove --force -y pytorch torchvision torchaudio cpuonly && \
-    conda install -y pytorch torchvision torchaudio cudatoolkit=10.0 -c pytorch && \
+    conda install -y pytorch torchvision torchaudio cudatoolkit=CUDA_MAJOR_VERSION.CUDA_MINOR_VERSION -c pytorch && \
     pip uninstall -y mxnet && \
     # b/126259508 --no-deps prevents numpy from being downgraded.
-    pip install --no-deps mxnet-cu100 && \
+    pip install --no-deps mxnet-cu$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \
     /tmp/clean-layer.sh
 
 # Install GPU-only packages
 RUN pip install pycuda && \
-    pip install cupy-cuda100 && \
+    pip install cupy-cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \
     pip install pynvrtc && \
     /tmp/clean-layer.sh
 
diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index 71c0d63e..bd3c19fc 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -10,3 +10,4 @@
 2.1.0-rc0-py36: TensorFlow 2.1.0-rc0 with Python 3.6
 2.1.0-rc2-py36: TensorFlow 2.1.0-rc2 with Python 3.6
 2.1.0-py36: TensorFlow 2.1.0 with Python 3.6
+2.1.0-py36-2: TensorFlow 2.1.0 with CUDA 10.1

From 9e367da368d0dd9e1d4ab0fb1896282203f051e0 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 10 Feb 2020 21:50:33 +0000
Subject: [PATCH 0839/1660] fix typo

---
 gpu.Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 03920a1f..295f97a3 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -83,7 +83,7 @@ RUN pip uninstall -y tensorflow && \
     pip install /tmp/tensorflow_gpu/tensorflow*.whl && \
     rm -rf /tmp/tensorflow_gpu && \
     conda remove --force -y pytorch torchvision torchaudio cpuonly && \
-    conda install -y pytorch torchvision torchaudio cudatoolkit=CUDA_MAJOR_VERSION.CUDA_MINOR_VERSION -c pytorch && \
+    conda install -y pytorch torchvision torchaudio cudatoolkit=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION -c pytorch && \
     pip uninstall -y mxnet && \
     # b/126259508 --no-deps prevents numpy from being downgraded.
     pip install --no-deps mxnet-cu$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \

From eaf7a397468f2b3271543b88a114df9185d558f7 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 11 Feb 2020 00:08:33 +0000
Subject: [PATCH 0840/1660] Use variables for CUDA sem ver in TF whl

---
 tensorflow-whl/Dockerfile | 21 ++++++++++++---------
 1 file changed, 12 insertions(+), 9 deletions(-)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 7262a8b1..24dbb16b 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -15,8 +15,11 @@ COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
 
 # Ensure the cuda libraries are compatible with the GPU image.
 # TODO(b/120050292): Use templating to keep in sync.
-ENV CUDA_VERSION=10.1.243
-ENV CUDA_PKG_VERSION=10-1=$CUDA_VERSION-1
+ENV CUDA_MAJOR_VERSION=10
+ENV CUDA_MINOR_VERSION=1
+ENV CUDA_PATCH_VERSION=243
+ENV CUDA_VERSION=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION.$CUDA_PATCH_VERSION
+ENV CUDA_PKG_VERSION=$CUDA_MAJOR_VERSION-$CUDA_MINOR_VERSION=$CUDA_VERSION-1
 LABEL com.nvidia.volumes.needed="nvidia_driver"
 LABEL com.nvidia.cuda.version="${CUDA_VERSION}"
 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
@@ -28,7 +31,7 @@ ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
 ENV LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs"
 ENV NVIDIA_VISIBLE_DEVICES=all
 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
-ENV NVIDIA_REQUIRE_CUDA="cuda>=10.1"
+ENV NVIDIA_REQUIRE_CUDA="cuda>=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION"
 RUN apt-get update && apt-get install -y --no-install-recommends \
       cuda-cupti-$CUDA_PKG_VERSION \
       cuda-cudart-$CUDA_PKG_VERSION \
@@ -38,11 +41,11 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
       cuda-nvml-dev-$CUDA_PKG_VERSION \
       cuda-minimal-build-$CUDA_PKG_VERSION \
       cuda-command-line-tools-$CUDA_PKG_VERSION \
-      libcudnn7=7.6.5.32-1+cuda10.1 \
-      libcudnn7-dev=7.6.5.32-1+cuda10.1 \
-      libnccl2=2.5.6-1+cuda10.1 \
-      libnccl-dev=2.5.6-1+cuda10.1 && \
-    ln -s /usr/local/cuda-10.1 /usr/local/cuda && \
+      libcudnn7=7.6.5.32-1+cuda$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION \
+      libcudnn7-dev=7.6.5.32-1+cuda$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION \
+      libnccl2=2.5.6-1+cuda$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION \
+      libnccl-dev=2.5.6-1+cuda$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION && \
+    ln -s /usr/local/cuda-$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION /usr/local/cuda && \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
 
 # Work to upgrade to Python 3.7 can be found on this branch: https://github.com/Kaggle/docker-python/blob/upgrade-py37/Dockerfile
@@ -75,7 +78,7 @@ RUN cd /usr/local/src/tensorflow && \
 
 # Create a tensorflow wheel for GPU/cuda
 ENV TF_NEED_CUDA=1
-ENV TF_CUDA_VERSION=10.1
+ENV TF_CUDA_VERSION=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION
 # 3.7 is for the K80 and 6.0 is for the P100, 7.5 is for the T4: https://developer.nvidia.com/cuda-gpus
 ENV TF_CUDA_COMPUTE_CAPABILITIES=3.7,6.0,7.5
 ENV TF_CUDNN_VERSION=7

From b7ee3fef12ea77510f8c618a5e8873a46cd16e8a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 11 Feb 2020 01:59:25 +0000
Subject: [PATCH 0841/1660] fix version check

---
 tests/test_automl.py | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/tests/test_automl.py b/tests/test_automl.py
index 367f5ee7..dc2ada75 100644
--- a/tests/test_automl.py
+++ b/tests/test_automl.py
@@ -15,8 +15,12 @@ class TestAutoMl(unittest.TestCase):
     def test_version(self):
         self.assertIsNotNone(automl.auto_ml_client._GAPIC_LIBRARY_VERSION)
         version_parts = automl.auto_ml_client._GAPIC_LIBRARY_VERSION.split('.')
-        version = float('.'.join(version_parts[0:2]));
-        self.assertGreaterEqual(version, 0.5);
+        self.assertEqual(3, len(version_parts))
+        # Ensures that version is >= 0.5
+        major = version_parts[0]
+        minor = version_parts[1]
+        if major == 0:
+            self.assertGreaterEqual(5, minor)
 
     class FakeClient:
         def __init__(self, credentials=None, client_info=None, **kwargs):

From cd2fddb53b983125734cd7d3d5abe66eedbc9764 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 11 Feb 2020 02:03:50 +0000
Subject: [PATCH 0842/1660] cast and fix equality

---
 tests/test_automl.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/tests/test_automl.py b/tests/test_automl.py
index dc2ada75..c4922444 100644
--- a/tests/test_automl.py
+++ b/tests/test_automl.py
@@ -17,10 +17,10 @@ def test_version(self):
         version_parts = automl.auto_ml_client._GAPIC_LIBRARY_VERSION.split('.')
         self.assertEqual(3, len(version_parts))
         # Ensures that version is >= 0.5
-        major = version_parts[0]
-        minor = version_parts[1]
+        major = int(version_parts[0])
+        minor = int(version_parts[1])
         if major == 0:
-            self.assertGreaterEqual(5, minor)
+            self.assertGreaterEqual(minor, 5)
 
     class FakeClient:
         def __init__(self, credentials=None, client_info=None, **kwargs):

From ab18edf5d9b445d071fd388b95448c0739a3d09f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 11 Feb 2020 02:08:38 +0000
Subject: [PATCH 0843/1660] add comment about semver

---
 tests/test_automl.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/tests/test_automl.py b/tests/test_automl.py
index c4922444..496d7951 100644
--- a/tests/test_automl.py
+++ b/tests/test_automl.py
@@ -14,6 +14,7 @@ class TestAutoMl(unittest.TestCase):
 
     def test_version(self):
         self.assertIsNotNone(automl.auto_ml_client._GAPIC_LIBRARY_VERSION)
+        # follows semver (i.e. major.minor.patch)
         version_parts = automl.auto_ml_client._GAPIC_LIBRARY_VERSION.split('.')
         self.assertEqual(3, len(version_parts))
         # Ensures that version is >= 0.5

From 4d2dfd7f99f517f21969736d1e1d7db3db25f8d5 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 11 Feb 2020 02:17:39 +0000
Subject: [PATCH 0844/1660] use packaging.version to parse automl package
 version

---
 tests/test_automl.py | 10 ++--------
 1 file changed, 2 insertions(+), 8 deletions(-)

diff --git a/tests/test_automl.py b/tests/test_automl.py
index 496d7951..7550455a 100644
--- a/tests/test_automl.py
+++ b/tests/test_automl.py
@@ -5,6 +5,7 @@
 from kaggle_gcp import KaggleKernelCredentials, init_automl
 from test.support import EnvironmentVarGuard
 from google.cloud import storage, automl_v1beta1 as automl
+from packaging.version import parse
 
 def _make_credentials():
     import google.auth.credentials
@@ -14,14 +15,7 @@ class TestAutoMl(unittest.TestCase):
 
     def test_version(self):
         self.assertIsNotNone(automl.auto_ml_client._GAPIC_LIBRARY_VERSION)
-        # follows semver (i.e. major.minor.patch)
-        version_parts = automl.auto_ml_client._GAPIC_LIBRARY_VERSION.split('.')
-        self.assertEqual(3, len(version_parts))
-        # Ensures that version is >= 0.5
-        major = int(version_parts[0])
-        minor = int(version_parts[1])
-        if major == 0:
-            self.assertGreaterEqual(minor, 5)
+        self.assertGreaterEqual(parse(automl.auto_ml_client._GAPIC_LIBRARY_VERSION), parse("0.5.0"))
 
     class FakeClient:
         def __init__(self, credentials=None, client_info=None, **kwargs):

From 46360a607ed3163a04214aedc8641974ba92667f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 11 Feb 2020 12:24:03 -0800
Subject: [PATCH 0845/1660] Upgrade jaxlib

---
 gpu.Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 295f97a3..6b678e25 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -74,7 +74,7 @@ ENV JAX_CUDA_VERSION=cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION
 ENV JAX_PLATFORM=linux_x86_64
 ENV JAX_BASE_URL="https://storage.googleapis.com/jax-releases"
 
-RUN  pip install --upgrade $JAX_BASE_URL/$JAX_CUDA_VERSION/jaxlib-0.1.37-$JAX_PYTHON_VERSION-none-$JAX_PLATFORM.whl && \
+RUN  pip install --upgrade $JAX_BASE_URL/$JAX_CUDA_VERSION/jaxlib-0.1.38-$JAX_PYTHON_VERSION-none-$JAX_PLATFORM.whl && \
      pip install --upgrade jax
 
 # Reinstall packages with a separate version for GPU support.

From f108dabe47231f0846cead32fc341f2eb407630c Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@kaggle.com>
Date: Tue, 11 Feb 2020 16:18:14 -0700
Subject: [PATCH 0846/1660] Patch the AutoML v1 clients to get Kaggle managed
 credentials (#715)

When the integration initially launched, there was only the v1beta1 version of the AutoML clients. As of Nov. 2019, there is a v1 version but we never updated the code to patch the v1 clients. Addresses b/149264883
---
 patches/kaggle_gcp.py | 39 ++++++++++++++++++------------------
 tests/test_automl.py  | 46 +++++++++++++++++++++++++++++++------------
 2 files changed, 52 insertions(+), 33 deletions(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index 64355e51..39c0168e 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -186,14 +186,8 @@ def patched_init(self, *args, **kwargs):
         if specified_credentials is None:
             Log.info("No credentials specified, using KaggleKernelCredentials.")
             kwargs['credentials'] = kaggle_kernel_credentials
-        
-        # TODO(vimota): Remove the exclusion of TablesClient once
-        # the client has fixed the error:
-        # `multiple values for keyword argument 'client_info'``
-        from google.cloud import automl_v1beta1
-        if (client_klass != automl_v1beta1.TablesClient):
-            kwargs['client_info'] = set_kaggle_user_agent(kwargs.get('client_info'))
 
+        kwargs['client_info'] = set_kaggle_user_agent(kwargs.get('client_info'))
 
         return client_init(self, *args, **kwargs)
 
@@ -227,30 +221,35 @@ def init_gcs():
 
 def init_automl():
     is_user_secrets_token_set = "KAGGLE_USER_SECRETS_TOKEN" in os.environ
-    from google.cloud import automl_v1beta1 as automl
+    from google.cloud import automl, automl_v1beta1
     if not is_user_secrets_token_set:
-        return automl
+        return
 
     from kaggle_gcp import get_integrations
     if not get_integrations().has_automl():
-        return automl
+        return
 
     from kaggle_secrets import GcpTarget
     from kaggle_gcp import KaggleKernelCredentials
     kaggle_kernel_credentials = KaggleKernelCredentials(target=GcpTarget.AUTOML)
 
-    # The AutoML client library exposes 4 different client classes (AutoMlClient,
-    # TablesClient, PredictionServiceClient and GcsClient), so patch each of them.
-    # The same KaggleKernelCredentials are passed to all of them.
+    # Patch the 2 GA clients: AutoMlClient and PreditionServiceClient
     monkeypatch_client(automl.AutoMlClient, kaggle_kernel_credentials)
-    monkeypatch_client(automl.TablesClient, kaggle_kernel_credentials)
     monkeypatch_client(automl.PredictionServiceClient, kaggle_kernel_credentials)
-    # TODO(markcollins): The GcsClient in the AutoML client library version
-    # 0.5.0 doesn't handle credentials properly. I wrote PR:
-    # https://github.com/googleapis/google-cloud-python/pull/9299
-    # to address this issue. Add patching for GcsClient when we get a version of
-    # the library that includes the fixes.
-    return automl
+
+    # The AutoML client library exposes 3 different client classes (AutoMlClient,
+    # TablesClient, PredictionServiceClient), so patch each of them.
+    # The same KaggleKernelCredentials are passed to all of them.
+    # The GcsClient class is only used internally by TablesClient.
+
+    # The beta version of the clients that are now GA are included here for now.
+    # They are deprecated and will be removed by 1 May 2020.
+    monkeypatch_client(automl_v1beta1.AutoMlClient, kaggle_kernel_credentials)
+    monkeypatch_client(automl_v1beta1.PredictionServiceClient, kaggle_kernel_credentials)
+
+    # The TablesClient is still in beta, so this will not be deprecated until
+    # the TablesClient is GA.
+    monkeypatch_client(automl_v1beta1.TablesClient, kaggle_kernel_credentials)
 
 def init():
     init_bigquery()
diff --git a/tests/test_automl.py b/tests/test_automl.py
index 7550455a..37571fe9 100644
--- a/tests/test_automl.py
+++ b/tests/test_automl.py
@@ -4,8 +4,7 @@
 
 from kaggle_gcp import KaggleKernelCredentials, init_automl
 from test.support import EnvironmentVarGuard
-from google.cloud import storage, automl_v1beta1 as automl
-from packaging.version import parse
+from google.cloud import storage, automl_v1beta1, automl
 
 def _make_credentials():
     import google.auth.credentials
@@ -13,10 +12,6 @@ def _make_credentials():
 
 class TestAutoMl(unittest.TestCase):
 
-    def test_version(self):
-        self.assertIsNotNone(automl.auto_ml_client._GAPIC_LIBRARY_VERSION)
-        self.assertGreaterEqual(parse(automl.auto_ml_client._GAPIC_LIBRARY_VERSION), parse("0.5.0"))
-
     class FakeClient:
         def __init__(self, credentials=None, client_info=None, **kwargs):
             self.credentials = credentials
@@ -27,7 +22,7 @@ def __init__(self, user_agent):
             if (client_info is not None):
                 self._connection = FakeConnection(client_info.user_agent)
 
-    @patch("google.cloud.automl_v1beta1.AutoMlClient", new=FakeClient)
+    @patch("google.cloud.automl.AutoMlClient", new=FakeClient)
     def test_user_provided_credentials(self):
         credentials = _make_credentials()
         env = EnvironmentVarGuard()
@@ -42,10 +37,10 @@ def test_user_provided_credentials(self):
     def test_tables_gcs_client(self):
         # The GcsClient can't currently be monkeypatched for default
         # credentials because it requires a project which can't be set.
-        # Verify that creating an automl.GcsClient given an actual
+        # Verify that creating an automl_v1beta1.GcsClient given an actual
         # storage.Client sets the client properly.
         gcs_client = storage.Client(project="xyz", credentials=_make_credentials())
-        tables_gcs_client = automl.GcsClient(client=gcs_client)
+        tables_gcs_client = automl_v1beta1.GcsClient(client=gcs_client)
         self.assertIs(tables_gcs_client.client, gcs_client)
 
     @patch("google.cloud.automl_v1beta1.gapic.auto_ml_client.AutoMlClient", new=FakeClient)
@@ -56,10 +51,10 @@ def test_tables_client_credentials(self):
         env.set('KAGGLE_KERNEL_INTEGRATIONS', 'AUTOML')
         with env:
             init_automl()
-            tables_client = automl.TablesClient(credentials=credentials)
+            tables_client = automl_v1beta1.TablesClient(credentials=credentials)
             self.assertEqual(tables_client.auto_ml_client.credentials, credentials)
 
-    @patch("google.cloud.automl_v1beta1.AutoMlClient", new=FakeClient)
+    @patch("google.cloud.automl.AutoMlClient", new=FakeClient)
     def test_default_credentials_automl_client(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
@@ -71,6 +66,18 @@ def test_default_credentials_automl_client(self):
             self.assertIsInstance(automl_client.credentials, KaggleKernelCredentials)
             self.assertTrue(automl_client._connection.user_agent.startswith("kaggle-gcp-client/1.0"))
 
+    @patch("google.cloud.automl_v1beta1.AutoMlClient", new=FakeClient)
+    def test_default_credentials_automl_v1beta1_client(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'AUTOML')
+        with env:
+            init_automl()
+            automl_client = automl_v1beta1.AutoMlClient()
+            self.assertIsNotNone(automl_client.credentials)
+            self.assertIsInstance(automl_client.credentials, KaggleKernelCredentials)
+            self.assertTrue(automl_client._connection.user_agent.startswith("kaggle-gcp-client/1.0"))
+
     @patch("google.cloud.automl_v1beta1.TablesClient", new=FakeClient)
     def test_default_credentials_tables_client(self):
         env = EnvironmentVarGuard()
@@ -78,11 +85,12 @@ def test_default_credentials_tables_client(self):
         env.set('KAGGLE_KERNEL_INTEGRATIONS', 'AUTOML')
         with env:
             init_automl()
-            tables_client = automl.TablesClient()
+            tables_client = automl_v1beta1.TablesClient()
             self.assertIsNotNone(tables_client.credentials)
             self.assertIsInstance(tables_client.credentials, KaggleKernelCredentials)
+            self.assertTrue(tables_client._connection.user_agent.startswith("kaggle-gcp-client/1.0"))
 
-    @patch("google.cloud.automl_v1beta1.PredictionServiceClient", new=FakeClient)
+    @patch("google.cloud.automl.PredictionServiceClient", new=FakeClient)
     def test_default_credentials_prediction_client(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
@@ -91,6 +99,18 @@ def test_default_credentials_prediction_client(self):
             prediction_client = automl.PredictionServiceClient()
             self.assertIsNotNone(prediction_client.credentials)
             self.assertIsInstance(prediction_client.credentials, KaggleKernelCredentials)
+            self.assertTrue(prediction_client._connection.user_agent.startswith("kaggle-gcp-client/1.0"))
+
+    @patch("google.cloud.automl_v1beta1.PredictionServiceClient", new=FakeClient)
+    def test_default_credentials_prediction_v1beta1_client(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'AUTOML')
+        with env:
+            prediction_client = automl_v1beta1.PredictionServiceClient()
+            self.assertIsNotNone(prediction_client.credentials)
+            self.assertIsInstance(prediction_client.credentials, KaggleKernelCredentials)
+            self.assertTrue(prediction_client._connection.user_agent.startswith("kaggle-gcp-client/1.0"))
 
     def test_monkeypatching_idempotent(self):
         env = EnvironmentVarGuard()

From d90d3b36d29abc6e976cba41127704be3e59d233 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 11 Feb 2020 21:44:13 -0800
Subject: [PATCH 0847/1660] Update Dockerfile

---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 406cae46..0d15dde3 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -410,6 +410,8 @@ RUN pip install bcolz && \
     pip install fastai && \
     pip install torchtext && \
     pip install allennlp && \
+    # b/149359379 remove once allennlp 1.0 is released which won't cause a spacy downgrade.
+    pip install spacy==2.2.3 && \
     /tmp/clean-layer.sh
 
     ###########

From 988146230aa2a59d027fb852f557a01b79b1963b Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 12 Feb 2020 18:25:33 +0000
Subject: [PATCH 0848/1660] Add spacy test

---
 tests/test_spacy.py | 9 +++++++++
 1 file changed, 9 insertions(+)
 create mode 100644 tests/test_spacy.py

diff --git a/tests/test_spacy.py b/tests/test_spacy.py
new file mode 100644
index 00000000..a968678b
--- /dev/null
+++ b/tests/test_spacy.py
@@ -0,0 +1,9 @@
+import unittest
+
+import spacy
+
+class TestSpacy(unittest.TestCase):
+    def test_model(self):
+        nlp = spacy.load('en')
+        doc = nlp('This is a sentence.')
+        self.assertEqual(5, len(doc))
\ No newline at end of file

From dcd39033893842b72dd8a98595cc904a98b51942 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 12 Feb 2020 18:26:03 +0000
Subject: [PATCH 0849/1660] download spacy model after upgrade

---
 Dockerfile | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 0d15dde3..1db28bed 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -24,7 +24,6 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
 RUN pip install seaborn python-dateutil dask && \
     pip install pyyaml joblib pytagcloud husl geopy ml_metrics mne pyshp && \
-    pip install spacy && python -m spacy download en && python -m spacy download en_core_web_lg && \
     # b/148783763 removes once qgrid and tsfresh supports pandas 1.0.0
     pip install pandas==0.25.3 && \
     # The apt-get version of imagemagick is out of date and has compatibility issues, so we build from source
@@ -411,7 +410,7 @@ RUN pip install bcolz && \
     pip install torchtext && \
     pip install allennlp && \
     # b/149359379 remove once allennlp 1.0 is released which won't cause a spacy downgrade.
-    pip install spacy==2.2.3 && \
+    pip install spacy==2.2.3 && python -m spacy download en && python -m spacy download en_core_web_lg && \
     /tmp/clean-layer.sh
 
     ###########

From a1c11d78efee26a13579eb8c26f8c7b833ebb0f2 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 12 Feb 2020 18:26:51 +0000
Subject: [PATCH 0850/1660] add missing newline at EOF

---
 tests/test_spacy.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/test_spacy.py b/tests/test_spacy.py
index a968678b..bd58cc30 100644
--- a/tests/test_spacy.py
+++ b/tests/test_spacy.py
@@ -6,4 +6,4 @@ class TestSpacy(unittest.TestCase):
     def test_model(self):
         nlp = spacy.load('en')
         doc = nlp('This is a sentence.')
-        self.assertEqual(5, len(doc))
\ No newline at end of file
+        self.assertEqual(5, len(doc))

From ccb9514e7dadca512c7c72f65104189202470864 Mon Sep 17 00:00:00 2001
From: Philmod <philmod@google.com>
Date: Thu, 20 Feb 2020 08:58:19 -0500
Subject: [PATCH 0851/1660] try to pin geopandas

---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 1db28bed..267f660c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -470,6 +470,8 @@ RUN pip install flashtext && \
     pip install earthengine-api && \
     pip install transformers && \
     pip install kaggle-environments && \
+    # b/149905611 TODO(philmod)
+    pip install geopandas==0.6.3 && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages

From b1fc6cf3f9ba4d405dca0afc67ec1ff6594d7489 Mon Sep 17 00:00:00 2001
From: Philmod <philmod@google.com>
Date: Thu, 20 Feb 2020 12:06:51 -0500
Subject: [PATCH 0852/1660] add comment and bug

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 267f660c..79345f67 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -470,7 +470,7 @@ RUN pip install flashtext && \
     pip install earthengine-api && \
     pip install transformers && \
     pip install kaggle-environments && \
-    # b/149905611 TODO(philmod)
+    # b/149905611 The geopandas tests are broken with the version 0.7.0
     pip install geopandas==0.6.3 && \
     /tmp/clean-layer.sh
 

From aa3b82b42628a1435cf46ecd91be82d87f7214b4 Mon Sep 17 00:00:00 2001
From: Philmod <philmod@google.com>
Date: Thu, 20 Feb 2020 20:15:46 -0500
Subject: [PATCH 0853/1660] Fix vowpalwabbit installation

---
 Dockerfile | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 79345f67..da7d5527 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -484,12 +484,12 @@ RUN apt-get install tesseract-ocr -y && \
     /tmp/clean-layer.sh
 ENV TESSERACT_PATH=/usr/bin/tesseract
 
-# Pin Vowpal Wabbit v8.6.0 because 8.6.1 does not build or install successfully
-RUN cd /usr/local/src && \
-    git clone -b 8.6.0 https://github.com/JohnLangford/vowpal_wabbit.git && \
-    ./vowpal_wabbit/python/conda_install.sh && \
-    # Reinstall in non-editable mode (without the -e flag)
-    pip install vowpal_wabbit/python && \
+# Install vowpalwabbit
+RUN apt-get install -y libboost-dev libboost-program-options-dev libboost-system-dev libboost-thread-dev libboost-math-dev libboost-test-dev zlib1g-dev cmake g++ && \
+    pip install six && \
+    apt-get install -y libboost-python-dev default-jdk && \
+    ln -s /usr/lib/x86_64-linux-gnu/libboost_python-py35.so /usr/lib/x86_64-linux-gnu/libboost_python3.so && \
+    pip install vowpalwabbit && \
     /tmp/clean-layer.sh
 
 # For Facets

From e3d1d8cd385123fb67d0774af52962749b34de1d Mon Sep 17 00:00:00 2001
From: Indrayana Rustandi <468296+irustandi@users.noreply.github.com>
Date: Fri, 21 Feb 2020 20:18:40 -0500
Subject: [PATCH 0854/1660] Add dlib (#721)

---
 Dockerfile          |   1 +
 tests/data/face.jpg | Bin 0 -> 36623 bytes
 tests/test_dlib.py  |  14 ++++++++++++++
 3 files changed, 15 insertions(+)
 create mode 100644 tests/data/face.jpg
 create mode 100644 tests/test_dlib.py

diff --git a/Dockerfile b/Dockerfile
index da7d5527..29f52a38 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -469,6 +469,7 @@ RUN pip install flashtext && \
     pip install bqplot && \
     pip install earthengine-api && \
     pip install transformers && \
+    pip install dlib && \
     pip install kaggle-environments && \
     # b/149905611 The geopandas tests are broken with the version 0.7.0
     pip install geopandas==0.6.3 && \
diff --git a/tests/data/face.jpg b/tests/data/face.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..042c4b915199e1a657df8c2211465b12a128ef2a
GIT binary patch
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HcmV?d00001

diff --git a/tests/test_dlib.py b/tests/test_dlib.py
new file mode 100644
index 00000000..9e8ff28d
--- /dev/null
+++ b/tests/test_dlib.py
@@ -0,0 +1,14 @@
+import unittest
+
+import cv2
+import dlib
+
+
+class TestDLib(unittest.TestCase):
+    def test_dlib_face_detector(self):
+        detector = dlib.get_frontal_face_detector()
+        image = cv2.imread('/input/tests/data/face.jpg')
+        image_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+        faces = detector(image_gray, 1)
+
+        self.assertEqual(len(faces), 1)

From be0ae37db601f0c238154b701a60dc4954c5f0f2 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 26 Feb 2020 16:28:38 -0500
Subject: [PATCH 0855/1660] unpin pandas #723

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 29f52a38..ca25fe6f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -25,7 +25,7 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
 RUN pip install seaborn python-dateutil dask && \
     pip install pyyaml joblib pytagcloud husl geopy ml_metrics mne pyshp && \
     # b/148783763 removes once qgrid and tsfresh supports pandas 1.0.0
-    pip install pandas==0.25.3 && \
+    pip install pandas && \
     # The apt-get version of imagemagick is out of date and has compatibility issues, so we build from source
     apt-get -y install dbus fontconfig fontconfig-config fonts-dejavu-core fonts-droid-fallback ghostscript gsfonts hicolor-icon-theme \
     libavahi-client3 libavahi-common-data libavahi-common3 libcairo2 libcap-ng0 libcroco3 \

From 3bfad3d801743904592b4fd36ac96b07895ae52c Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 26 Feb 2020 17:05:46 -0500
Subject: [PATCH 0856/1660] remove obsolete comment

---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index ca25fe6f..aae40d75 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -24,7 +24,6 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
 RUN pip install seaborn python-dateutil dask && \
     pip install pyyaml joblib pytagcloud husl geopy ml_metrics mne pyshp && \
-    # b/148783763 removes once qgrid and tsfresh supports pandas 1.0.0
     pip install pandas && \
     # The apt-get version of imagemagick is out of date and has compatibility issues, so we build from source
     apt-get -y install dbus fontconfig fontconfig-config fonts-dejavu-core fonts-droid-fallback ghostscript gsfonts hicolor-icon-theme \

From dfcc4fab77191bbeed1acb6f2408581958758e6d Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 28 Feb 2020 17:00:05 -0800
Subject: [PATCH 0857/1660] Pin distributed

`distributed` 2.11.0 fails while trying to reach out to 8.8.8.8 since the network is disabled in our hermetic tests .
---
 Dockerfile | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 29f52a38..bbbe8b17 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -22,7 +22,9 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     /tmp/clean-layer.sh
 
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
-RUN pip install seaborn python-dateutil dask && \
+# b/150498764 distributed 2.11.0 fails at import while trying to reach out to 8.8.8.8 since the network is disabled in our hermetic tests.
+RUN pip install distributed==2.10.0 && \
+    pip install seaborn python-dateutil dask && \
     pip install pyyaml joblib pytagcloud husl geopy ml_metrics mne pyshp && \
     # b/148783763 removes once qgrid and tsfresh supports pandas 1.0.0
     pip install pandas==0.25.3 && \

From 85423fd74ff01b4ec52bdf5c92ac71ba03766ce0 Mon Sep 17 00:00:00 2001
From: daiki katsuragawa <50144563+daikikatsuragawa@users.noreply.github.com>
Date: Wed, 4 Mar 2020 01:37:50 +0900
Subject: [PATCH 0858/1660] Update README.md

---
 README.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 734726df..45216293 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,8 @@
+# docker-python
+
 [Kaggle Kernels](https://www.kaggle.com/kernels) allow users to run a Python Notebook in the cloud against our competitions and datasets without having to download data or set up their environment.
 
-This repository includes our Dockerfiles for building the [CPU-only](Dockerfile) and [GPU](gpu.Dockerfile) image that runs Python Kernels on Kaggle. 
+This repository includes our Dockerfiles for building the [CPU-only](Dockerfile) and [GPU](gpu.Dockerfile) image that runs Python Kernels on Kaggle.
 
 Our Python Docker images are stored on Google Container Registry at:
 

From a5b40fe31b9c502bfeb44e476a83cf3a294eb9af Mon Sep 17 00:00:00 2001
From: takuseno <takuma.seno@gmail.com>
Date: Tue, 3 Mar 2020 14:45:56 +0900
Subject: [PATCH 0859/1660] Add nnabla

---
 Dockerfile           |  1 +
 gpu.Dockerfile       |  1 +
 tests/test_nnabla.py | 28 ++++++++++++++++++++++++++++
 3 files changed, 30 insertions(+)
 create mode 100644 tests/test_nnabla.py

diff --git a/Dockerfile b/Dockerfile
index bbbe8b17..62981d45 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -475,6 +475,7 @@ RUN pip install flashtext && \
     pip install kaggle-environments && \
     # b/149905611 The geopandas tests are broken with the version 0.7.0
     pip install geopandas==0.6.3 && \
+    pip install nnabla && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 6b678e25..2c4cae8f 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -93,6 +93,7 @@ RUN pip uninstall -y tensorflow && \
 RUN pip install pycuda && \
     pip install cupy-cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \
     pip install pynvrtc && \
+    pip install nnabla-ext-cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \
     /tmp/clean-layer.sh
 
 # Re-add TensorBoard Jupyter extension patch
diff --git a/tests/test_nnabla.py b/tests/test_nnabla.py
new file mode 100644
index 00000000..d3f3876d
--- /dev/null
+++ b/tests/test_nnabla.py
@@ -0,0 +1,28 @@
+import unittest
+
+import numpy as np
+import nnabla as nn
+import nnabla.functions as F
+from nnabla.ext_utils import get_extension_context
+
+from common import gpu_test
+
+
+class TestNNabla(unittest.TestCase):
+    def test_addition(self):
+        # entry variables
+        a = nn.Variable.from_numpy_array(np.random.random())
+        b = nn.Variable.from_numpy_array(np.random.random())
+
+        # add operation
+        c = a + b
+
+        # forward
+        c.forward()
+
+        self.assertAlmostEqual(c.d, a.d + b.d)
+
+    @gpu_test
+    def test_cuda_ext(self):
+        ctx = get_extension_context('cudnn', device_id='0')
+        nn.set_default_context(ctx)

From 7bc8b5d82692baa623f6100546bd5f2f748b4680 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 26 Feb 2020 16:28:38 -0500
Subject: [PATCH 0860/1660] unpin pandas #723

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 62981d45..c4d64330 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -27,7 +27,7 @@ RUN pip install distributed==2.10.0 && \
     pip install seaborn python-dateutil dask && \
     pip install pyyaml joblib pytagcloud husl geopy ml_metrics mne pyshp && \
     # b/148783763 removes once qgrid and tsfresh supports pandas 1.0.0
-    pip install pandas==0.25.3 && \
+    pip install pandas && \
     # The apt-get version of imagemagick is out of date and has compatibility issues, so we build from source
     apt-get -y install dbus fontconfig fontconfig-config fonts-dejavu-core fonts-droid-fallback ghostscript gsfonts hicolor-icon-theme \
     libavahi-client3 libavahi-common-data libavahi-common3 libcairo2 libcap-ng0 libcroco3 \

From 1df1be7eee0c429233d3b883f27e72dca7a8669a Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 26 Feb 2020 17:05:46 -0500
Subject: [PATCH 0861/1660] remove obsolete comment

---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index c4d64330..82919311 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -26,7 +26,6 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
 RUN pip install distributed==2.10.0 && \
     pip install seaborn python-dateutil dask && \
     pip install pyyaml joblib pytagcloud husl geopy ml_metrics mne pyshp && \
-    # b/148783763 removes once qgrid and tsfresh supports pandas 1.0.0
     pip install pandas && \
     # The apt-get version of imagemagick is out of date and has compatibility issues, so we build from source
     apt-get -y install dbus fontconfig fontconfig-config fonts-dejavu-core fonts-droid-fallback ghostscript gsfonts hicolor-icon-theme \

From 2ac6ba5fef945fa3a801a730fc3d5115e1e8e4b3 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Tue, 10 Mar 2020 11:45:32 -0400
Subject: [PATCH 0862/1660] Fix test failures: h2o & catalyst (#733)

* Install the safitty package used in the catalyst test

* install h2o with conda
---
 Dockerfile | 11 +++--------
 1 file changed, 3 insertions(+), 8 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 82919311..50a8dd0f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -133,14 +133,8 @@ RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
     pip install --upgrade numpy && \
     pip install gluonnlp && \
     pip install gluoncv && \
-    # h2o (requires java)
-    # requires java
-    apt-get install -y default-jdk && \
-    cd /usr/local/src && mkdir h2o && cd h2o && \
-    wget --no-verbose http://h2o-release.s3.amazonaws.com/h2o/latest_stable -O latest && \
-    wget --no-verbose --no-check-certificate -i latest -O h2o.zip && rm latest && \
-    unzip h2o.zip && rm h2o.zip && cp h2o-*/h2o.jar . && \
-    pip install `find . -name "*whl"` && \
+    # h2o
+    conda install -c h2oai h2o && \
     /tmp/clean-layer.sh
 
 # b/128333086: Set PROJ_LIB to points to the proj4 cartographic library.
@@ -459,6 +453,7 @@ RUN pip install flashtext && \
     pip install chainer-chemistry && \
     pip install plotly_express && \
     pip install albumentations && \
+    pip install safitty && \
     pip install catalyst && \
     # b/145133331: latest version is causing issue with gcloud.
     pip install rtree==0.8.3 && \

From 25a6c3f168fc14a88f77ab0e892829cd73ff11e3 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 16 Mar 2020 21:52:31 +0000
Subject: [PATCH 0863/1660] Remove unsupported parameters in geoviews test

---
 tests/test_geoviews.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/test_geoviews.py b/tests/test_geoviews.py
index 36ce8882..7b270a76 100644
--- a/tests/test_geoviews.py
+++ b/tests/test_geoviews.py
@@ -7,5 +7,5 @@
 class TestGeoviews(unittest.TestCase):
     def test_viz(self):
         (gf.ocean + gf.land + gf.ocean * gf.land * gf.coastline * gf.borders).options(
-            'Feature', projection=crs.Geostationary(), global_extent=True, height=325
+            'Feature', projection=crs.Geostationary(), global_extent=True
         ).cols(3)

From 50bef56f7f2bcd930a5f3b65369366d1fbe3894c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 18 Mar 2020 10:39:19 -0700
Subject: [PATCH 0864/1660] Format markdown.

---
 tensorflow-whl/CHANGELOG.md | 26 +++++++++++++-------------
 1 file changed, 13 insertions(+), 13 deletions(-)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index bd3c19fc..2983a90f 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -1,13 +1,13 @@
-1.11.0-py36: TensorFlow 1.11.0 wheels built with python 3.6
-1.12.0-py36: TensorFlow 1.12.0 wheels with Cuda 9.2
-1.13.1-py36: TensorFlow 1.13.1 wheels with Cuda 10.0
-1.13.1-py36-2: TensorFlow 1.13.1 wheels with Cuda 10.0 and bump anaconda3 base image version to 5.3.0 
-1.13.1-py37: TensorFlow 1.13.1 with Python 3.7.0 and bump anaconda3 base image version to 5.3.0 
-1.13.1-py37-2: TensorFlow 1.13.1 with Python 3.7.3
-1.14.0-py36: TensorFlow 1.14.0 with Python 3.6
-2.0.0-rc1-py36: TensorFlow 2.0.0 RC1 with Python 3.6
-2.0.0-py36: TensorFlow 2.0.0 with Python 3.6
-2.1.0-rc0-py36: TensorFlow 2.1.0-rc0 with Python 3.6
-2.1.0-rc2-py36: TensorFlow 2.1.0-rc2 with Python 3.6
-2.1.0-py36: TensorFlow 2.1.0 with Python 3.6
-2.1.0-py36-2: TensorFlow 2.1.0 with CUDA 10.1
+* 1.11.0-py36: TensorFlow 1.11.0 wheels built with python 3.6
+* 1.12.0-py36: TensorFlow 1.12.0 wheels with Cuda 9.2
+* 1.13.1-py36: TensorFlow 1.13.1 wheels with Cuda 10.0
+* 1.13.1-py36-2: TensorFlow 1.13.1 wheels with Cuda 10.0 and bump anaconda3 base image version to 5.3.0 
+* 1.13.1-py37: TensorFlow 1.13.1 with Python 3.7.0 and bump anaconda3 base image version to 5.3.0 
+* 1.13.1-py37-2: TensorFlow 1.13.1 with Python 3.7.3
+* 1.14.0-py36: TensorFlow 1.14.0 with Python 3.6
+* 2.0.0-rc1-py36: TensorFlow 2.0.0 RC1 with Python 3.6
+* 2.0.0-py36: TensorFlow 2.0.0 with Python 3.6
+* 2.1.0-rc0-py36: TensorFlow 2.1.0-rc0 with Python 3.6
+* 2.1.0-rc2-py36: TensorFlow 2.1.0-rc2 with Python 3.6
+* 2.1.0-py36: TensorFlow 2.1.0 with Python 3.6
+* 2.1.0-py36-2: TensorFlow 2.1.0 with CUDA 10.1

From b6700cc18cf2686ce88760282202ef4bd4a6e6d1 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 18 Mar 2020 10:44:54 -0700
Subject: [PATCH 0865/1660] Format CHANGELOG.md

---
 tensorflow-whl/CHANGELOG.md | 26 +++++++++++++-------------
 1 file changed, 13 insertions(+), 13 deletions(-)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index 2983a90f..3b3965fc 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -1,13 +1,13 @@
-* 1.11.0-py36: TensorFlow 1.11.0 wheels built with python 3.6
-* 1.12.0-py36: TensorFlow 1.12.0 wheels with Cuda 9.2
-* 1.13.1-py36: TensorFlow 1.13.1 wheels with Cuda 10.0
-* 1.13.1-py36-2: TensorFlow 1.13.1 wheels with Cuda 10.0 and bump anaconda3 base image version to 5.3.0 
-* 1.13.1-py37: TensorFlow 1.13.1 with Python 3.7.0 and bump anaconda3 base image version to 5.3.0 
-* 1.13.1-py37-2: TensorFlow 1.13.1 with Python 3.7.3
-* 1.14.0-py36: TensorFlow 1.14.0 with Python 3.6
-* 2.0.0-rc1-py36: TensorFlow 2.0.0 RC1 with Python 3.6
-* 2.0.0-py36: TensorFlow 2.0.0 with Python 3.6
-* 2.1.0-rc0-py36: TensorFlow 2.1.0-rc0 with Python 3.6
-* 2.1.0-rc2-py36: TensorFlow 2.1.0-rc2 with Python 3.6
-* 2.1.0-py36: TensorFlow 2.1.0 with Python 3.6
-* 2.1.0-py36-2: TensorFlow 2.1.0 with CUDA 10.1
+* `1.11.0-py36`: TensorFlow 1.11.0 wheels built with python 3.6
+* `1.12.0-py36`: TensorFlow 1.12.0 wheels with Cuda 9.2
+* `1.13.1-py36`: TensorFlow 1.13.1 wheels with Cuda 10.0
+* `1.13.1-py36-2`: TensorFlow 1.13.1 wheels with Cuda 10.0 and bump anaconda3 base image version to 5.3.0 
+* `1.13.1-py37`: TensorFlow 1.13.1 with Python 3.7.0 and bump anaconda3 base image version to 5.3.0 
+* `1.13.1-py37-2`: TensorFlow 1.13.1 with Python 3.7.3
+* `1.14.0-py36`: TensorFlow 1.14.0 with Python 3.6
+* `2.0.0-rc1-py36`: TensorFlow 2.0.0 RC1 with Python 3.6
+* `2.0.0-py36`: TensorFlow 2.0.0 with Python 3.6
+* `2.1.0-rc0-py36`: TensorFlow 2.1.0-rc0 with Python 3.6
+* `2.1.0-rc2-py36`: TensorFlow 2.1.0-rc2 with Python 3.6
+* `2.1.0-py36`: TensorFlow 2.1.0 with Python 3.6
+* `2.1.0-py36-2`: TensorFlow 2.1.0 with CUDA 10.1

From 8688d0b6c1082cb19ce83f2a902ce3fb36b4c59c Mon Sep 17 00:00:00 2001
From: Sam Harris <sam@kaggle.com>
Date: Wed, 18 Mar 2020 12:50:42 -0700
Subject: [PATCH 0866/1660] Bump jaxlib version to fix build error

---
 gpu.Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 2c4cae8f..8d043c9f 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -74,7 +74,7 @@ ENV JAX_CUDA_VERSION=cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION
 ENV JAX_PLATFORM=linux_x86_64
 ENV JAX_BASE_URL="https://storage.googleapis.com/jax-releases"
 
-RUN  pip install --upgrade $JAX_BASE_URL/$JAX_CUDA_VERSION/jaxlib-0.1.38-$JAX_PYTHON_VERSION-none-$JAX_PLATFORM.whl && \
+RUN  pip install --upgrade $JAX_BASE_URL/$JAX_CUDA_VERSION/jaxlib-0.1.41-$JAX_PYTHON_VERSION-none-$JAX_PLATFORM.whl && \
      pip install --upgrade jax
 
 # Reinstall packages with a separate version for GPU support.

From 85da82d71ee3c85a153623984e59603b3e9fd3b6 Mon Sep 17 00:00:00 2001
From: Timo Bozsolik <timoboz@google.com>
Date: Thu, 26 Mar 2020 02:11:59 +0000
Subject: [PATCH 0867/1660] Add config to skip deep conda dep checks

---
 Dockerfile | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 50a8dd0f..6b0f6e66 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -113,6 +113,9 @@ RUN apt-get install -y libfreetype6-dev && \
 # Make sure the dynamic linker finds the right libstdc++
 ENV LD_LIBRARY_PATH=/opt/conda/lib
 
+# Disable deep conda dependency checks
+RUN conda config --set unsatisfiable_hints_check_depth 1
+
 RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
     pip install matplotlib && \
     pip install pyshp && \

From 3f82e3fd3fad43f6ea841ae5e31197d3e718357e Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 26 Mar 2020 13:07:46 -0700
Subject: [PATCH 0868/1660] Remove tflearn package

This package is unmaintained and hasn't been updated since 2017. Keras is now the way to go.

Additionally, this package was broken because it requires TensorFlow 1.x and we are using 2.x
---
 Dockerfile | 2 --
 1 file changed, 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 6b0f6e66..efa62013 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -208,8 +208,6 @@ RUN pip install mpld3 && \
     pip install plotly && \
     pip install git+https://github.com/nicta/dora.git && \
     pip install git+https://github.com/hyperopt/hyperopt.git && \
-    # tflean. Deep learning library featuring a higher-level API for TensorFlow. http://tflearn.org
-    pip install git+https://github.com/tflearn/tflearn.git && \
     pip install fitter && \
     pip install langid && \
     # Delorean. Useful for dealing with datetime

From 49197dbc1e1c1f763b5bbe4134e570c36cbadf1d Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 26 Mar 2020 13:36:56 -0700
Subject: [PATCH 0869/1660] Remove dora package.

Usage: 0 kernels per day

Rational:

Unmaintained, hasn't been updated since 2016, no usage. 10 stars on GitHub.
---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 6b0f6e66..3b5d3d4f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -206,7 +206,6 @@ RUN pip install mpld3 && \
     pip install toolz cytoolz && \
     pip install sacred && \
     pip install plotly && \
-    pip install git+https://github.com/nicta/dora.git && \
     pip install git+https://github.com/hyperopt/hyperopt.git && \
     # tflean. Deep learning library featuring a higher-level API for TensorFlow. http://tflearn.org
     pip install git+https://github.com/tflearn/tflearn.git && \

From 4dae6988e2a7aa086a73d50040a0c6559a522932 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 26 Mar 2020 13:47:33 -0700
Subject: [PATCH 0870/1660] Remove hallucinate package

Usage: 0 kernels per day.

Rational:

Unmaintained (last commit 2017), 0 GitHub stars, originally added to our Docker image by the package author.
---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 3b5d3d4f..443c603a 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -279,7 +279,6 @@ RUN pip install mpld3 && \
     # plotnine 0.5 is depending on matplotlib >= 3.0 which is not compatible with basemap.
     # once basemap support matplotlib, we can unpin this package.
     pip install plotnine==0.4.0 && \
-    pip install git+https://github.com/dvaida/hallucinate.git && \
     pip install scikit-surprise && \
     pip install pymongo && \
     pip install edward && \

From 73e866cad14c7f3df57e44a7e03cb109caba28f0 Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@google.com>
Date: Thu, 26 Mar 2020 13:53:53 -0700
Subject: [PATCH 0871/1660] Use pip instead of manual install of pybrain,
 Theano, and nolearn (#738)

* Use pip instead of manual install of pybrain, Theano, and nolearn

* Fix continuation of command
---
 Dockerfile | 13 +++----------
 1 file changed, 3 insertions(+), 10 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 443c603a..d715fa23 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -69,16 +69,9 @@ RUN apt-get install -y libfreetype6-dev && \
     git clone --depth 1 https://github.com/NervanaSystems/neon.git && \
     cd neon && pip install . && \
     #nolearn
-    cd /usr/local/src && mkdir nolearn && cd nolearn && \
-    git clone --depth 1 https://github.com/dnouri/nolearn.git && cd nolearn && \
-    echo "x" > README.rst && echo "x" > CHANGES.rst && \
-    python setup.py install && \
-    # Dev branch of Theano
-    pip install git+git://github.com/Theano/Theano.git --upgrade --no-deps && \
-    # put theano compiledir inside /tmp (it needs to be in writable dir)
-    printf "[global]\nbase_compiledir = /tmp/.theano\n" > /.theanorc && \
-    cd /usr/local/src &&  git clone --depth 1 https://github.com/pybrain/pybrain && \
-    cd pybrain && python setup.py install && \
+    pip install nolearn && \
+    pip install Theano && \
+    pip install pybrain && \
     # Base ATLAS
     apt-get install -y libatlas-base-dev && \
     cd /usr/local/src && git clone --depth 1 https://github.com/ztane/python-Levenshtein && \

From a3da5ff1448306d5549474de7c44c7a06a2711c7 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 26 Mar 2020 14:01:07 -0700
Subject: [PATCH 0872/1660] Remove vega3 package

Usage: 0 kernels per day.

Rational:

Unmaintained. Deprecated in favor of vega. Low GitHub stars, will consider add vega if > 1000 stars and if someone ask for it.

Some people are using Altair which requires vega to display the chart. It requires `vega` and not `vega3`. People are using the `pip install` workaround which is the preferred way to do for not very popular packages that are not required in KO competitions. See:
https://www.kaggle.com/general/63534
---
 Dockerfile | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 7453d972..34875977 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -334,9 +334,6 @@ RUN pip install --upgrade cython && \
     # yellowbrick machine learning visualization library
     pip install yellowbrick && \
     pip install mlcrate && \
-    # Required to display Altair charts in Jupyter notebook
-    pip install vega3 && \
-    jupyter nbextension install --sys-prefix --py vega3 && \
     /tmp/clean-layer.sh
 
 # Fast.ai and dependencies

From d7696be920db6545979158a0d32fa442fba1603c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 26 Mar 2020 14:07:29 -0700
Subject: [PATCH 0873/1660] Remove edward package

Unmaintained (last commit in 2018). `edward` is a probabilistic programming language built on top of TensorFlow 1.x. This doesn't work with TensorFlow 2.x which means this package is effectively broken.
---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 34875977..a77498d3 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -272,7 +272,6 @@ RUN pip install mpld3 && \
     pip install plotnine==0.4.0 && \
     pip install scikit-surprise && \
     pip install pymongo && \
-    pip install edward && \
     pip install geoplot && \
     pip install eli5 && \
     pip install implicit && \

From eae0bf3604d36cbb5bc59aa3dafcf1989352535c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 26 Mar 2020 14:32:49 -0700
Subject: [PATCH 0874/1660] Remove glmnet-py package.

Unmaintained (last updated in 2017). This is a fork of the Stanford `glmnet` package. The `glmnet` packages is still maintained but has a low # of stars on GitHub. We can consider adding the `glmnet` package if it attracts > 1000 stars and if someone asks for it.
---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index a77498d3..5f05b02c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -292,7 +292,6 @@ RUN pip install kmeans-smote --no-dependencies && \
     pip install fbpca && \
     pip install sentencepiece && \
     pip install cufflinks && \
-    pip install glmnet_py && \
     pip install lime && \
     pip install memory_profiler && \
     /tmp/clean-layer.sh

From ebe4262b8f71a54716792a1e1dbba0a904360e55 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 26 Mar 2020 14:37:55 -0700
Subject: [PATCH 0875/1660] Remove pykoko

Usage: 0 kernels / day

Rational:

Unmaintained (last updated in 2017), only 12 GitHub stars, no usage.

Our users can install it with `pip install` if they ever need to.
---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 5f05b02c..76bdd1d4 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -319,7 +319,6 @@ RUN pip install --upgrade cython && \
     pip install scattertext && \
     # Pandas data reader
     pip install pandas-datareader && \
-    pip install pykoko && \
     pip install wordsegment && \
     pip install pyahocorasick && \
     pip install wordbatch && \

From c29f16638e6285e0f6de130dea5903942db5a325 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 26 Mar 2020 21:52:25 +0000
Subject: [PATCH 0876/1660] Install hyperopt using pip + test

---
 Dockerfile             |  2 +-
 tests/test_hyperopt.py | 13 +++++++++++++
 2 files changed, 14 insertions(+), 1 deletion(-)
 create mode 100644 tests/test_hyperopt.py

diff --git a/Dockerfile b/Dockerfile
index 5f05b02c..57733689 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -199,7 +199,7 @@ RUN pip install mpld3 && \
     pip install toolz cytoolz && \
     pip install sacred && \
     pip install plotly && \
-    pip install git+https://github.com/hyperopt/hyperopt.git && \
+    pip install hyperopt && \
     pip install fitter && \
     pip install langid && \
     # Delorean. Useful for dealing with datetime
diff --git a/tests/test_hyperopt.py b/tests/test_hyperopt.py
new file mode 100644
index 00000000..5cb779de
--- /dev/null
+++ b/tests/test_hyperopt.py
@@ -0,0 +1,13 @@
+import unittest
+
+from hyperopt import fmin, tpe, hp
+
+class TestHyperopt(unittest.TestCase):
+    def test_find_min(self):
+        best = fmin(
+            fn=lambda x: x ** 2,
+            space=hp.uniform('x', -10, 10),
+            algo=tpe.suggest,
+            max_evals=1,
+        )
+        self.assertIn('x', best)
\ No newline at end of file

From 245de94d134053c58c0ec7405d30cddbf0905bb0 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 26 Mar 2020 15:20:54 -0700
Subject: [PATCH 0877/1660] Remove keras-rcnn package.

Unmaintained (last updated in 2017) and only works with TensorFlow 1.13. For that reason, this package is effectively broken in our environment.
---
 Dockerfile | 2 --
 1 file changed, 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 5f05b02c..87527de7 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -61,8 +61,6 @@ RUN apt-get install -y libfreetype6-dev && \
     pip install git+git://github.com/Lasagne/Lasagne.git && \
     pip install keras && \
     pip install keras-rl && \
-    #keras-rcnn
-    pip install git+https://github.com/broadinstitute/keras-rcnn && \
     pip install flake8 && \
     #neon
     cd /usr/local/src && \

From 5c9f4d30f9226e0a6903be920634ef75d2af1649 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 26 Mar 2020 15:27:55 -0700
Subject: [PATCH 0878/1660] Remove keras-rl

Only works with TensorFlow 1.x. For that reason, this package is effectively broken in our environment which has TensorFlow 2.x
---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 0a211e4f..e0446fd9 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -60,7 +60,6 @@ RUN apt-get install -y libfreetype6-dev && \
     pip install lightgbm==2.3.1 && \
     pip install git+git://github.com/Lasagne/Lasagne.git && \
     pip install keras && \
-    pip install keras-rl && \
     pip install flake8 && \
     #neon
     cd /usr/local/src && \

From b835c530fe6c9fef8da9b8fa79c19c57778d2358 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 26 Mar 2020 15:30:23 -0700
Subject: [PATCH 0879/1660] Remove pyflux package

This package is NOT compatible with Python 3.7. We are in the process of upgrading to Python 3.7: b/142337634
---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index e0446fd9..63e63c62 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -224,7 +224,6 @@ RUN pip install mpld3 && \
     pip install descartes && \
     pip install geojson && \
     pip install pysal && \
-    pip install pyflux && \
     pip install terminalplot && \
     pip install raccoon && \
     pip install pydicom && \

From 888f887dccc0909622797929ac51075eb34f7635 Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@google.com>
Date: Thu, 26 Mar 2020 15:34:24 -0700
Subject: [PATCH 0880/1660] =?UTF-8?q?Remove=20dev=20libraries=20no=20longe?=
 =?UTF-8?q?r=20needed=20since=20we=20install=20basemap=20v=E2=80=A6=20(#73?=
 =?UTF-8?q?6)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 Dockerfile | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 63e63c62..0e28174c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -106,8 +106,7 @@ ENV LD_LIBRARY_PATH=/opt/conda/lib
 # Disable deep conda dependency checks
 RUN conda config --set unsatisfiable_hints_check_depth 1
 
-RUN apt-get -y install zlib1g-dev liblcms2-dev libwebp-dev libgeos-dev && \
-    pip install matplotlib && \
+RUN pip install matplotlib && \
     pip install pyshp && \
     pip install pyproj && \
     conda install basemap && \

From 566b183e8ccbef10e74e7cb795c66b7e7476475e Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 26 Mar 2020 15:45:03 -0700
Subject: [PATCH 0881/1660] Add comment about scikit-image upgrade

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 0e28174c..127dba7e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -97,6 +97,7 @@ RUN apt-get install -y libfreetype6-dev && \
     vader_lexicon verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe && \
     # Stop-words
     pip install stop-words && \
+    # remove --upgrade once base image is upgraded and include scikit-image >= 0.16.2
     pip install --upgrade scikit-image && \
     /tmp/clean-layer.sh
 

From bd54effc0d8a1649fe8accc1d625b0ee4c9ecf1d Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 26 Mar 2020 15:48:34 -0700
Subject: [PATCH 0882/1660] Remove pyeconometrics package

Unmaintained (last change in 2018), 7 GitHub stars. No usage.
---
 Dockerfile | 2 --
 1 file changed, 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 127dba7e..06a3c5bf 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -155,8 +155,6 @@ RUN pip install scipy && \
     pip install datashader && \
     # Boruta (python implementation)
     pip install Boruta && \
-    cd /usr/local/src && git clone git://github.com/nicolashennetier/pyeconometrics.git && \
-    cd pyeconometrics && python setup.py install && \
     apt-get install -y graphviz && pip install graphviz && \
     # Pandoc is a dependency of deap
     apt-get install -y pandoc && \

From faedc6d4a8b21113a0615f3e99dfecce64406778 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 26 Mar 2020 15:51:36 -0700
Subject: [PATCH 0883/1660] Remove rf_perm_feat_import package

Unmaintained (last change in 2017), 11 GitHub stars. No usage. It is only a single simple function. Our users can use utility scripts for that.
---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 06a3c5bf..553690fb 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -179,7 +179,6 @@ RUN pip install mpld3 && \
     pip install nibabel && \
     pip install pronouncing && \
     pip install markovify && \
-    pip install rf_perm_feat_import && \
     pip install imgaug && \
     pip install preprocessing && \
     pip install Baker && \

From c9f71bb84c317888c59a53326fa4e5fa1bd2824c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 26 Mar 2020 15:55:55 -0700
Subject: [PATCH 0884/1660] Remove vida package

Unmaintained (last change in 2015), 2 GitHub stars. No usage.
---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 553690fb..886b87eb 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -200,7 +200,6 @@ RUN pip install mpld3 && \
     pip install delorean && \
     pip install trueskill && \
     pip install heamy && \
-    pip install vida && \
     # Useful data exploration libraries (for missing data and generating reports)
     pip install missingno && \
     pip install pandas-profiling && \

From b89df841f34f7a8059f0694d27d412fded19321a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 26 Mar 2020 15:57:26 -0700
Subject: [PATCH 0885/1660] Delete kaggle_tools_update.Dockerfile

Not needed anymore.
---
 kaggle_tools_update.Dockerfile | 20 --------------------
 1 file changed, 20 deletions(-)
 delete mode 100644 kaggle_tools_update.Dockerfile

diff --git a/kaggle_tools_update.Dockerfile b/kaggle_tools_update.Dockerfile
deleted file mode 100644
index 8f7fac20..00000000
--- a/kaggle_tools_update.Dockerfile
+++ /dev/null
@@ -1,20 +0,0 @@
-# This Dockerfile is a temporary solution until we
-# resolved the broken main build.
-
-# This Dockerfile creates a new image based on our
-# current published python image with the latest
-# version of the LearnTools library to allow us
-# to release new Learn content. It also configures
-# pip to work out-of-the-box when internet access
-# is enabled.
-
-# Usage:
-#   docker rmi gcr.io/kaggle-images/python:pinned
-#   docker build --rm -t kaggle/python-build -f kaggle_tools_update.Dockerfile .
-#   ./test
-#   ./push (if tests are passing)
-
-# Pull the last build manually tagged as "pinned". 
-FROM gcr.io/kaggle-images/python:pinned
-
-RUN pip install --upgrade git+https://github.com/Kaggle/learntools
\ No newline at end of file

From 47678fb664ec5f3ee859db2f4945e98587576dce Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 26 Mar 2020 16:19:19 -0700
Subject: [PATCH 0886/1660] Remove raccoon package

Few GitHub stars. No usage.
---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 886b87eb..4c9cfd0a 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -221,7 +221,6 @@ RUN pip install mpld3 && \
     pip install geojson && \
     pip install pysal && \
     pip install terminalplot && \
-    pip install raccoon && \
     pip install pydicom && \
     pip install wavio && \
     pip install SimpleITK && \

From e7e9e15adcc52a5dccd6280b6f1a38354f42f9b1 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 26 Mar 2020 16:21:51 -0700
Subject: [PATCH 0887/1660] Remove speedml package

Unmaintained (last release was 2017). No usage.
---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 4c9cfd0a..251d4664 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -243,7 +243,6 @@ RUN pip install mpld3 && \
     pip install geoviews==1.6.1 && \
     pip install hypertools && \
     pip install py_stringsimjoin && \
-    pip install speedml && \
     pip install nibabel && \
     pip install mlens && \
     pip install scikit-multilearn && \

From b5076aa550c56ce194f67e5aa6e9197219e8028c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 26 Mar 2020 16:49:07 -0700
Subject: [PATCH 0888/1660] Remove unmaintained, broken or unused packages

Package: `paramnb`
Rational:
From the author:
> Note: ParamNB is no longer maintained; use the much more capable Panel library instead
Last update in 2018, 30 GitHub stars.

Package: `keras-tqdm`
Rational:
Unmaintained (last updated in 2017) and only works with TensorFlow 1.x. For that reason, this package is effectively broken in our environment.

Package: `trackml`
Rational:
Unmaintained (last updated in 2017) and no usage.

Package: `testpath`
Rational:
No usage, 7 GitHub stars.

Package: `simplegeneric`
Rational:
Not maintained (last update in 2012), no usage.

Package: `safitty`
Rational:
No usage, 29 GitHub stars.
---
 Dockerfile | 6 ------
 1 file changed, 6 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 251d4664..4e7afec9 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -252,7 +252,6 @@ RUN pip install mpld3 && \
     #cd /usr/local/src && git clone --depth=1 https://github.com/AxeldeRomblay/MLBox && cd MLBox/python-package && python setup.py install && \
     pip install fastFM && \
     pip install lightfm && \
-    pip install paramnb && \
     pip install folium && \
     pip install scikit-plot && \
     # dipy requires the optional fury dependency for visualizations.
@@ -363,10 +362,8 @@ RUN pip install bcolz && \
     pip install PyYAML && \
     pip install pyzmq && \
     pip install qtconsole && \
-    pip install simplegeneric && \
     pip install six && \
     pip install terminado && \
-    pip install testpath && \
     # Latest version (6.0) of tornado breaks Jupyter notebook:
     # https://github.com/jupyter/notebook/issues/4439
     pip install tornado==5.0.2 && \
@@ -402,7 +399,6 @@ RUN pip install flashtext && \
     pip install featuretools && \
     pip install -e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper && \
     pip install hpsklearn && \
-    pip install keras-tqdm && \
     pip install git+https://github.com/Kaggle/learntools && \
     pip install kmapper && \
     pip install shap && \
@@ -412,7 +408,6 @@ RUN pip install flashtext && \
     pip install pyarabic && \
     pip install conx && \
     pip install pandasql && \
-    pip install trackml && \
     pip install tensorflow_hub && \
     pip install jieba  && \
     pip install git+https://github.com/SauceCat/PDPbox && \
@@ -429,7 +424,6 @@ RUN pip install flashtext && \
     pip install chainer-chemistry && \
     pip install plotly_express && \
     pip install albumentations && \
-    pip install safitty && \
     pip install catalyst && \
     # b/145133331: latest version is causing issue with gcloud.
     pip install rtree==0.8.3 && \

From b1b0919f47f43d27bc409528617af8dbd4eea41c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 26 Mar 2020 18:00:53 -0700
Subject: [PATCH 0889/1660] Remove import test for keras-rl

This package was removed in #747
---
 tests/test_imports.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/tests/test_imports.py b/tests/test_imports.py
index c14e70c6..e099063c 100644
--- a/tests/test_imports.py
+++ b/tests/test_imports.py
@@ -5,4 +5,3 @@ class TestImport(unittest.TestCase):
     def test_basic(self):
         import bq_helper
         import cleverhans
-        from rl.agents.dqn import DQNAgent

From 77e2f9f7a2470b9a97a4d3460452aa33ebb2b8a7 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 26 Mar 2020 16:01:43 -0700
Subject: [PATCH 0890/1660] Install pymc3 from pip

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index ce96e9e6..1ed1e295 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -214,7 +214,7 @@ RUN pip install mpld3 && \
     pip install ecos && \
     pip install CVXcanon && \
     pip install fancyimpute && \
-    pip install git+https://github.com/pymc-devs/pymc3 && \
+    pip install pymc3 && \
     pip install tifffile && \
     pip install spectral && \
     pip install descartes && \

From b08d3897447bdbfaaa9a96cb7474ef5b121d3e20 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 27 Mar 2020 16:15:50 +0000
Subject: [PATCH 0891/1660] Fix catalyst test

---
 tests/test_catalyst.py | 12 +++++-------
 1 file changed, 5 insertions(+), 7 deletions(-)

diff --git a/tests/test_catalyst.py b/tests/test_catalyst.py
index 0c7d7972..18d9a767 100644
--- a/tests/test_catalyst.py
+++ b/tests/test_catalyst.py
@@ -1,5 +1,6 @@
 import unittest
 import collections
+import json
 import numpy as np
 
 import torch
@@ -11,7 +12,6 @@
 import catalyst
 from catalyst.dl import SupervisedRunner, CheckpointCallback
 from catalyst import utils
-from safitty import Safict
 
 
 def _to_categorical(y, num_classes=None, dtype='float32'):
@@ -144,9 +144,7 @@ def test_mnist(self):
             callbacks=[CheckpointCallback(save_n_best=3)]
         )
         
-        metrics = Safict.load("./logs/checkpoints/_metrics.json")
-        metrics_flag1 = \
-            metrics.get("train.3", "loss") < metrics.get("train.1", "loss")
-        metrics_flag2 = metrics.get("best", "loss") < 0.35
-        self.assertTrue(metrics_flag1)
-        self.assertTrue(metrics_flag2)
+        with open('./logs/checkpoints/_metrics.json') as f:
+            metrics = json.load(f)
+            self.assertTrue(metrics['train.3']['loss'] < metrics['train.1']['loss'])
+            self.assertTrue(metrics['best']['loss'] < 0.35)

From bcfedb07808b5335ff50d4dd9b0171c085e9518b Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 26 Mar 2020 17:25:49 +0000
Subject: [PATCH 0892/1660] WIP

---
 Dockerfile              |   4 +++-
 tests/data/test.tif     | Bin 0 -> 3766 bytes
 tests/test_openslide.py |   0
 3 files changed, 3 insertions(+), 1 deletion(-)
 create mode 100644 tests/data/test.tif
 create mode 100644 tests/test_openslide.py

diff --git a/Dockerfile b/Dockerfile
index 1ed1e295..58a936d8 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -322,7 +322,6 @@ RUN pip install --upgrade cython && \
     pip install mlcrate && \
     /tmp/clean-layer.sh
 
-# Fast.ai and dependencies
 RUN pip install bcolz && \
     pip install bleach && \
     pip install certifi && \
@@ -355,6 +354,9 @@ RUN pip install bcolz && \
     pip install pexpect && \
     pip install pickleshare && \
     pip install Pillow && \
+    # Install openslide and its python binding
+    apt-get install -y openslide-tools && \
+    pip install openslide-python && \
     pip install ptyprocess && \
     pip install Pygments && \
     pip install pyparsing && \
diff --git a/tests/data/test.tif b/tests/data/test.tif
new file mode 100644
index 0000000000000000000000000000000000000000..f1fededad341030dd22c9f9325e13df51e6fb1cc
GIT binary patch
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diff --git a/tests/test_openslide.py b/tests/test_openslide.py
new file mode 100644
index 00000000..e69de29b

From 50d14a82a2e143e81c5826ef645394cd9a600d91 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 27 Mar 2020 17:38:06 +0000
Subject: [PATCH 0893/1660] add openslide-python

---
 Dockerfile              | 2 +-
 tests/test_openslide.py | 9 +++++++++
 2 files changed, 10 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 58a936d8..6e1b876c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -356,7 +356,7 @@ RUN pip install bcolz && \
     pip install Pillow && \
     # Install openslide and its python binding
     apt-get install -y openslide-tools && \
-    pip install openslide-python && \
+    pip install git+git://github.com/rosbo/openslide-python.git@fix-setup && \
     pip install ptyprocess && \
     pip install Pygments && \
     pip install pyparsing && \
diff --git a/tests/test_openslide.py b/tests/test_openslide.py
index e69de29b..6524ef40 100644
--- a/tests/test_openslide.py
+++ b/tests/test_openslide.py
@@ -0,0 +1,9 @@
+import unittest
+
+from openslide import open_slide
+
+class TestOpenslide(unittest.TestCase):
+    def test_read_tif(self):
+        slide = open_slide('/input/tests/data/test.tif')
+        
+        self.assertEqual(1, slide.level_count)

From 6fe5db07e012fd27aaac41f5557c1bbed2cfd36d Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 27 Mar 2020 18:21:58 +0000
Subject: [PATCH 0894/1660] Add comment linking to bug

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 6e1b876c..8e498a38 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -356,6 +356,7 @@ RUN pip install bcolz && \
     pip install Pillow && \
     # Install openslide and its python binding
     apt-get install -y openslide-tools && \
+    # b/152402322 install latest from pip once is in: https://github.com/openslide/openslide-python/pull/76
     pip install git+git://github.com/rosbo/openslide-python.git@fix-setup && \
     pip install ptyprocess && \
     pip install Pygments && \

From 0caf4b752d7ffee5d18475cba93fe64feb9bece9 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 27 Mar 2020 22:15:46 +0000
Subject: [PATCH 0895/1660] Install conda packages first

---
 Dockerfile | 50 ++++++++++++++++++++------------------------------
 1 file changed, 20 insertions(+), 30 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 8e498a38..1d1846b3 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -21,9 +21,27 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     pip install --upgrade pip && \
     /tmp/clean-layer.sh
 
+# Make sure the dynamic linker finds the right libstdc++
+ENV LD_LIBRARY_PATH=/opt/conda/lib
+# b/128333086: Set PROJ_LIB to points to the proj4 cartographic library.
+ENV PROJ_LIB=/opt/conda/share/proj
+
+# Disable deep conda dependency checks
+# RUN conda config --set unsatisfiable_hints_check_depth 1
+
+# Install conda packages not available on pip.
+# When using pip in a conda environment, conda commands should be ran first and then
+# the remaining pip commands: https://www.anaconda.com/using-pip-in-a-conda-environment/
+RUN conda install -c conda-forge matplotlib basemap cartopy python-igraph && \
+    conda install -c h2oai h2o && \
+    conda install -c pytorch pytorch torchvision torchaudio cpuonly && \
+    /tmp/clean-layer.sh
+
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
 # b/150498764 distributed 2.11.0 fails at import while trying to reach out to 8.8.8.8 since the network is disabled in our hermetic tests.
 RUN pip install distributed==2.10.0 && \
+    # b/145358669 remove --upgrade once we upgrade base image which will include numpy >= 1.17
+    pip install --upgrade numpy && \
     pip install seaborn python-dateutil dask && \
     pip install pyyaml joblib pytagcloud husl geopy ml_metrics mne pyshp && \
     pip install pandas && \
@@ -54,7 +72,6 @@ RUN apt-get install -y libfreetype6-dev && \
     pip install gensim && \
     pip install textblob && \
     pip install wordcloud && \
-    conda install -y -c conda-forge python-igraph && \
     pip install xgboost && \
     # Pinned to match GPU version. Update version together.
     pip install lightgbm==2.3.1 && \
@@ -101,38 +118,12 @@ RUN apt-get install -y libfreetype6-dev && \
     pip install --upgrade scikit-image && \
     /tmp/clean-layer.sh
 
-# Make sure the dynamic linker finds the right libstdc++
-ENV LD_LIBRARY_PATH=/opt/conda/lib
-
-# Disable deep conda dependency checks
-RUN conda config --set unsatisfiable_hints_check_depth 1
-
-RUN pip install matplotlib && \
-    pip install pyshp && \
-    pip install pyproj && \
-    conda install basemap && \
-    # sasl is apparently an ibis dependency
-    apt-get -y install libsasl2-dev && \
-    # ...as is psycopg2
-    apt-get install -y libpq-dev && \
-    pip install ibis-framework && \
-    # Cartopy plus dependencies
-    yes | conda install proj4 && \
-    pip install packaging && \
-    pip install shapely && \
-    pip install cartopy && \
+RUN pip install ibis-framework && \
     pip install mxnet && \
-    # b/145358669 remove --upgrade once we upgrade base image which will include numpy >= 1.17
-    pip install --upgrade numpy && \
     pip install gluonnlp && \
-    pip install gluoncv && \
-    # h2o
-    conda install -c h2oai h2o && \
+    pip install gluoncv && \    
     /tmp/clean-layer.sh
 
-# b/128333086: Set PROJ_LIB to points to the proj4 cartographic library.
-ENV PROJ_LIB=/opt/conda/share/proj
-
 # scikit-learn dependencies
 RUN pip install scipy && \
     pip install scikit-learn && \
@@ -160,7 +151,6 @@ RUN pip install scipy && \
     apt-get install -y pandoc && \
     pip install git+git://github.com/scikit-learn-contrib/py-earth.git@issue191 && \
     pip install essentia && \
-    conda install -y pytorch torchvision torchaudio cpuonly -c pytorch && \
     /tmp/clean-layer.sh
 
 # vtk with dependencies

From bd331466ac9257cf133d40947a898bb8086a0748 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 27 Mar 2020 23:29:20 +0000
Subject: [PATCH 0896/1660] remove unnecessary conda flag

---
 Dockerfile | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 1d1846b3..39e21e7c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -26,9 +26,6 @@ ENV LD_LIBRARY_PATH=/opt/conda/lib
 # b/128333086: Set PROJ_LIB to points to the proj4 cartographic library.
 ENV PROJ_LIB=/opt/conda/share/proj
 
-# Disable deep conda dependency checks
-# RUN conda config --set unsatisfiable_hints_check_depth 1
-
 # Install conda packages not available on pip.
 # When using pip in a conda environment, conda commands should be ran first and then
 # the remaining pip commands: https://www.anaconda.com/using-pip-in-a-conda-environment/

From ea0d185b2d75376ca0a490027108c7b69b76cc86 Mon Sep 17 00:00:00 2001
From: Victor Mota <vimota@google.com>
Date: Mon, 30 Mar 2020 15:53:02 -0700
Subject: [PATCH 0897/1660] =?UTF-8?q?Apply=20some=20of=20the=20changes=20I?=
 =?UTF-8?q?'ve=20made=20to=20the=20dlvm=20branch,=20simplify=E2=80=A6=20(#?=
 =?UTF-8?q?759)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* Apply some of the changes I've made to the dlvm branch, simplify some installations.

* Fix pysal install error

* Add levenshtein test
---
 Dockerfile                | 22 +++-------------------
 tests/test_levenshtein.py |  9 +++++++++
 2 files changed, 12 insertions(+), 19 deletions(-)
 create mode 100644 tests/test_levenshtein.py

diff --git a/Dockerfile b/Dockerfile
index 39e21e7c..c68dfa72 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -32,6 +32,8 @@ ENV PROJ_LIB=/opt/conda/share/proj
 RUN conda install -c conda-forge matplotlib basemap cartopy python-igraph && \
     conda install -c h2oai h2o && \
     conda install -c pytorch pytorch torchvision torchaudio cpuonly && \
+    conda install -c conda-forge/label/cf202003 imagemagick && \
+    conda install -c anaconda pysal && \
     /tmp/clean-layer.sh
 
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
@@ -42,20 +44,6 @@ RUN pip install distributed==2.10.0 && \
     pip install seaborn python-dateutil dask && \
     pip install pyyaml joblib pytagcloud husl geopy ml_metrics mne pyshp && \
     pip install pandas && \
-    # The apt-get version of imagemagick is out of date and has compatibility issues, so we build from source
-    apt-get -y install dbus fontconfig fontconfig-config fonts-dejavu-core fonts-droid-fallback ghostscript gsfonts hicolor-icon-theme \
-    libavahi-client3 libavahi-common-data libavahi-common3 libcairo2 libcap-ng0 libcroco3 \
-    libcups2 libcupsfilters1 libcupsimage2 libdatrie1 libdbus-1-3 libdjvulibre-text libdjvulibre21 libfftw3-double3 libfontconfig1 \
-    libfreetype6 libgdk-pixbuf2.0-0 libgdk-pixbuf2.0-common libgomp1 libgraphite2-3 libgs9 libgs9-common libharfbuzz0b libijs-0.35 \
-    libilmbase12 libjbig0 libjbig2dec0 libjpeg62-turbo liblcms2-2 liblqr-1-0 libltdl7 libmagickcore-6.q16-3 \
-    libmagickcore-6.q16-3-extra libmagickwand-6.q16-3 libnetpbm10 libopenexr22 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 \
-    libpaper-utils libpaper1 libpixman-1-0 libpng16-16 librsvg2-2 librsvg2-common libthai-data libthai0 libtiff5 libwmf0.2-7 \
-    libxcb-render0 libxcb-shm0 netpbm poppler-data p7zip-full python3-rtree && \
-    cd /usr/local/src && \
-    # b/141476846 latest ImageMagick version fails to build.
-    wget --no-verbose https://github.com/ImageMagick/ImageMagick/archive/7.0.8-65.tar.gz && \
-    tar xzf 7.0.8-65.tar.gz && cd `ls -d ImageMagick-*` && pwd && ls -al && ./configure && \
-    make -j $(nproc) && make install && \
     /tmp/clean-layer.sh
 
 # Install tensorflow from a pre-built wheel
@@ -83,10 +71,7 @@ RUN apt-get install -y libfreetype6-dev && \
     pip install nolearn && \
     pip install Theano && \
     pip install pybrain && \
-    # Base ATLAS
-    apt-get install -y libatlas-base-dev && \
-    cd /usr/local/src && git clone --depth 1 https://github.com/ztane/python-Levenshtein && \
-    cd python-Levenshtein && python setup.py install && \
+    pip install python-Levenshtein && \
     pip install hep_ml && \
     # chainer
     pip install chainer && \
@@ -206,7 +191,6 @@ RUN pip install mpld3 && \
     pip install spectral && \
     pip install descartes && \
     pip install geojson && \
-    pip install pysal && \
     pip install terminalplot && \
     pip install pydicom && \
     pip install wavio && \
diff --git a/tests/test_levenshtein.py b/tests/test_levenshtein.py
new file mode 100644
index 00000000..2ea45c98
--- /dev/null
+++ b/tests/test_levenshtein.py
@@ -0,0 +1,9 @@
+import unittest
+
+import Levenshtein
+
+class TestLevenshtein(unittest.TestCase):
+    def test_distance(self):
+        distance = Levenshtein.distance('Levenshtein', 'Lenvinsten')
+
+        self.assertEqual(4, distance)
\ No newline at end of file

From 7daebfebe575de7502324c5fc54929e8daf426cf Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 6 Feb 2020 21:49:01 +0000
Subject: [PATCH 0898/1660] Build TF wheel for Python 3.7

---
 Dockerfile                  | 31 +++++++++++++++++++++----------
 gpu.Dockerfile              |  2 +-
 tensorflow-whl/CHANGELOG.md |  1 +
 tensorflow-whl/Dockerfile   |  3 +--
 4 files changed, 24 insertions(+), 13 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index c68dfa72..afdd3b28 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=2019.03
 ARG TENSORFLOW_VERSION=2.1.0
 
-FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py36-2 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37 as tensorflow_whl
 FROM continuumio/anaconda3:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
@@ -157,7 +157,7 @@ RUN pip install mpld3 && \
     pip install path.py && \
     pip install Geohash && \
     # https://github.com/vinsci/geohash/issues/4
-    sed -i -- 's/geohash/.geohash/g' /opt/conda/lib/python3.6/site-packages/Geohash/__init__.py && \
+    sed -i -- 's/geohash/.geohash/g' /opt/conda/lib/python3.7/site-packages/Geohash/__init__.py && \
     pip install deap && \
     pip install tpot && \
     pip install scikit-optimize && \
@@ -426,6 +426,7 @@ RUN apt-get install tesseract-ocr -y && \
     /tmp/clean-layer.sh
 ENV TESSERACT_PATH=/usr/bin/tesseract
 
+<<<<<<< HEAD
 # Install vowpalwabbit
 RUN apt-get install -y libboost-dev libboost-program-options-dev libboost-system-dev libboost-thread-dev libboost-math-dev libboost-test-dev zlib1g-dev cmake g++ && \
     pip install six && \
@@ -433,6 +434,16 @@ RUN apt-get install -y libboost-dev libboost-program-options-dev libboost-system
     ln -s /usr/lib/x86_64-linux-gnu/libboost_python-py35.so /usr/lib/x86_64-linux-gnu/libboost_python3.so && \
     pip install vowpalwabbit && \
     /tmp/clean-layer.sh
+=======
+# Pin Vowpal Wabbit v8.6.0 because 8.6.1 does not build or install successfully
+# This installs python 3.6. Fix before releasing.
+# RUN cd /usr/local/src && \
+#     git clone -b 8.6.0 https://github.com/JohnLangford/vowpal_wabbit.git && \
+#     ./vowpal_wabbit/python/conda_install.sh && \
+#     # Reinstall in non-editable mode (without the -e flag)
+#     pip install vowpal_wabbit/python && \
+#     /tmp/clean-layer.sh
+>>>>>>> Build TF wheel for Python 3.7
 
 # For Facets
 ENV PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/
@@ -446,7 +457,7 @@ RUN pip install --upgrade dask && \
     mkdir -p /root/.jupyter && touch /root/.jupyter/jupyter_nbconvert_config.py && touch /root/.jupyter/migrated && \
     mkdir -p /.jupyter && touch /.jupyter/jupyter_nbconvert_config.py && touch /.jupyter/migrated && \
     # Stop Matplotlib printing junk to the console on first load
-    sed -i "s/^.*Matplotlib is building the font cache using fc-list.*$/# Warning removed by Kaggle/g" /opt/conda/lib/python3.6/site-packages/matplotlib/font_manager.py && \
+    sed -i "s/^.*Matplotlib is building the font cache using fc-list.*$/# Warning removed by Kaggle/g" /opt/conda/lib/python3.7/site-packages/matplotlib/font_manager.py && \
     # Make matplotlib output in Jupyter notebooks display correctly
     mkdir -p /etc/ipython/ && echo "c = get_config(); c.IPKernelApp.matplotlib = 'inline'" > /etc/ipython/ipython_config.py && \
     /tmp/clean-layer.sh
@@ -461,12 +472,12 @@ RUN echo "deb [signed-by=/usr/share/keyrings/cloud.google.gpg] http://packages.c
 
 # Add BigQuery client proxy settings
 ENV PYTHONUSERBASE "/root/.local"
-ADD patches/kaggle_gcp.py /root/.local/lib/python3.6/site-packages/kaggle_gcp.py
-ADD patches/kaggle_secrets.py /root/.local/lib/python3.6/site-packages/kaggle_secrets.py
-ADD patches/kaggle_web_client.py /root/.local/lib/python3.6/site-packages/kaggle_web_client.py
-ADD patches/kaggle_datasets.py /root/.local/lib/python3.6/site-packages/kaggle_datasets.py
-ADD patches/log.py /root/.local/lib/python3.6/site-packages/log.py
-ADD patches/sitecustomize.py /root/.local/lib/python3.6/site-packages/sitecustomize.py
+ADD patches/kaggle_gcp.py /root/.local/lib/python3.7/site-packages/kaggle_gcp.py
+ADD patches/kaggle_secrets.py /root/.local/lib/python3.7/site-packages/kaggle_secrets.py
+ADD patches/kaggle_web_client.py /root/.local/lib/python3.7/site-packages/kaggle_web_client.py
+ADD patches/kaggle_datasets.py /root/.local/lib/python3.7/site-packages/kaggle_datasets.py
+ADD patches/log.py /root/.local/lib/python3.7/site-packages/log.py
+ADD patches/sitecustomize.py /root/.local/lib/python3.7/site-packages/sitecustomize.py
 
 # TensorBoard Jupyter extension. Should be replaced with TensorBoard's provided magic once we have
 # worker tunneling support in place.
@@ -475,7 +486,7 @@ ADD patches/sitecustomize.py /root/.local/lib/python3.6/site-packages/sitecustom
 # RUN pip install jupyter_tensorboard && \
 #     jupyter serverextension enable jupyter_tensorboard && \
 #     jupyter tensorboard enable
-# ADD patches/tensorboard/notebook.py /opt/conda/lib/python3.6/site-packages/tensorboard/notebook.py
+# ADD patches/tensorboard/notebook.py /opt/conda/lib/python3.7/site-packages/tensorboard/notebook.py
 
 # Set backend for matplotlib
 ENV MPLBACKEND "agg"
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 8d043c9f..64e72001 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=staging
 
 FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu16.04 AS nvidia
-FROM gcr.io/kaggle-images/python-tensorflow-whl:2.1.0-py36-2 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:2.1.0-py37 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index 3b3965fc..75279c11 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -11,3 +11,4 @@
 * `2.1.0-rc2-py36`: TensorFlow 2.1.0-rc2 with Python 3.6
 * `2.1.0-py36`: TensorFlow 2.1.0 with Python 3.6
 * `2.1.0-py36-2`: TensorFlow 2.1.0 with CUDA 10.1
+* `2.1.0-py37`: TensorFlow 2.1.0 with Python 3.7
\ No newline at end of file
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 24dbb16b..f8c521b5 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -48,8 +48,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     ln -s /usr/local/cuda-$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION /usr/local/cuda && \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
 
-# Work to upgrade to Python 3.7 can be found on this branch: https://github.com/Kaggle/docker-python/blob/upgrade-py37/Dockerfile
-RUN conda install -y python=3.6.6 && pip install --upgrade pip && pip install numpy
+RUN pip install --upgrade pip
 
 # See _TF_(MIN|MAX)_BAZEL_VERSION at https://github.com/tensorflow/tensorflow/blob/master/configure.py.
 ENV BAZEL_VERSION=0.29.1

From 53ad38005fb077d5f0264aa5177e5599fdde7f29 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 7 Feb 2020 18:34:51 +0000
Subject: [PATCH 0899/1660] Use Python 3.7

Remove packages that are not compatible.
---
 Dockerfile | 31 ++++++++++---------------------
 1 file changed, 10 insertions(+), 21 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index afdd3b28..bc2fabf6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -16,8 +16,6 @@ RUN apt-get update && \
     # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
 RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \
     apt-get update && apt-get install -y build-essential unzip cmake && \
-    # Work to upgrade to Python 3.7 can be found on this branch: https://github.com/Kaggle/docker-python/blob/upgrade-py37/Dockerfile
-    conda install -y python=3.6.6 && \
     pip install --upgrade pip && \
     /tmp/clean-layer.sh
 
@@ -220,8 +218,8 @@ RUN pip install mpld3 && \
     pip install cleverhans && \
     pip install leven && \
     pip install catboost && \
-    #cd /usr/local/src && git clone --depth=1 https://github.com/AxeldeRomblay/MLBox && cd MLBox/python-package && python setup.py install && \
-    pip install fastFM && \
+    # fastFM doesn't support Python 3.7 yet: https://github.com/ibayer/fastFM/issues/151
+    # pip install fastFM && \
     pip install lightfm && \
     pip install folium && \
     pip install scikit-plot && \
@@ -287,7 +285,9 @@ RUN pip install --upgrade cython && \
     pip install janome && \
     pip install wfdb && \
     pip install vecstack && \
-    pip install sklearn-contrib-lightning && \
+    # Doesn't support Python 3.7 yet. Last release on pypi is from 2017.
+    # Add back once this PR is released: https://github.com/scikit-learn-contrib/lightning/pull/133
+    #pip install sklearn-contrib-lightning && \
     # yellowbrick machine learning visualization library
     pip install yellowbrick && \
     pip install mlcrate && \
@@ -426,24 +426,13 @@ RUN apt-get install tesseract-ocr -y && \
     /tmp/clean-layer.sh
 ENV TESSERACT_PATH=/usr/bin/tesseract
 
-<<<<<<< HEAD
 # Install vowpalwabbit
-RUN apt-get install -y libboost-dev libboost-program-options-dev libboost-system-dev libboost-thread-dev libboost-math-dev libboost-test-dev zlib1g-dev cmake g++ && \
-    pip install six && \
-    apt-get install -y libboost-python-dev default-jdk && \
-    ln -s /usr/lib/x86_64-linux-gnu/libboost_python-py35.so /usr/lib/x86_64-linux-gnu/libboost_python3.so && \
-    pip install vowpalwabbit && \
-    /tmp/clean-layer.sh
-=======
-# Pin Vowpal Wabbit v8.6.0 because 8.6.1 does not build or install successfully
-# This installs python 3.6. Fix before releasing.
-# RUN cd /usr/local/src && \
-#     git clone -b 8.6.0 https://github.com/JohnLangford/vowpal_wabbit.git && \
-#     ./vowpal_wabbit/python/conda_install.sh && \
-#     # Reinstall in non-editable mode (without the -e flag)
-#     pip install vowpal_wabbit/python && \
+# RUN apt-get install -y libboost-dev libboost-program-options-dev libboost-system-dev libboost-thread-dev libboost-math-dev libboost-test-dev zlib1g-dev cmake g++ && \
+#     pip install six && \
+#     apt-get install -y libboost-python-dev default-jdk && \
+#     ln -s /usr/lib/x86_64-linux-gnu/libboost_python-py35.so /usr/lib/x86_64-linux-gnu/libboost_python3.so && \
+#     pip install vowpalwabbit && \
 #     /tmp/clean-layer.sh
->>>>>>> Build TF wheel for Python 3.7
 
 # For Facets
 ENV PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/

From 13f8cb2f8d5954ae3bff344faf01bec2cca624ae Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 2 Apr 2020 18:40:08 +0000
Subject: [PATCH 0900/1660] pinpoint torch downgrade

---
 Dockerfile | 16 +++++++++++++++-
 1 file changed, 15 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index bc2fabf6..2282ce73 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -48,6 +48,7 @@ RUN pip install distributed==2.10.0 && \
 COPY --from=tensorflow_whl /tmp/tensorflow_cpu/*.whl /tmp/tensorflow_cpu/
 RUN pip install /tmp/tensorflow_cpu/tensorflow*.whl && \
     rm -rf /tmp/tensorflow_cpu && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh
 
 RUN apt-get install -y libfreetype6-dev && \
@@ -96,12 +97,14 @@ RUN apt-get install -y libfreetype6-dev && \
     pip install stop-words && \
     # remove --upgrade once base image is upgraded and include scikit-image >= 0.16.2
     pip install --upgrade scikit-image && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh
 
 RUN pip install ibis-framework && \
     pip install mxnet && \
     pip install gluonnlp && \
     pip install gluoncv && \    
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh
 
 # scikit-learn dependencies
@@ -131,6 +134,7 @@ RUN pip install scipy && \
     apt-get install -y pandoc && \
     pip install git+git://github.com/scikit-learn-contrib/py-earth.git@issue191 && \
     pip install essentia && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh
 
 # vtk with dependencies
@@ -139,6 +143,7 @@ RUN apt-get install -y libgl1-mesa-glx && \
     # xvfbwrapper with dependencies
     apt-get install -y xvfb && \
     pip install xvfbwrapper && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh
 
 RUN pip install mpld3 && \
@@ -234,6 +239,7 @@ RUN pip install mpld3 && \
     pip install eli5 && \
     pip install implicit && \
     pip install dask-ml[xgboost] && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh
 
 RUN pip install kmeans-smote --no-dependencies && \
@@ -252,6 +258,7 @@ RUN pip install kmeans-smote --no-dependencies && \
     pip install cufflinks && \
     pip install lime && \
     pip install memory_profiler && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh
 
 # install cython & cysignals before pyfasttext
@@ -291,6 +298,7 @@ RUN pip install --upgrade cython && \
     # yellowbrick machine learning visualization library
     pip install yellowbrick && \
     pip install mlcrate && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh
 
 RUN pip install bcolz && \
@@ -353,6 +361,7 @@ RUN pip install bcolz && \
     pip install allennlp && \
     # b/149359379 remove once allennlp 1.0 is released which won't cause a spacy downgrade.
     pip install spacy==2.2.3 && python -m spacy download en && python -m spacy download en_core_web_lg && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh
 
     ###########
@@ -414,6 +423,7 @@ RUN pip install flashtext && \
     # b/149905611 The geopandas tests are broken with the version 0.7.0
     pip install geopandas==0.6.3 && \
     pip install nnabla && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages
@@ -423,6 +433,7 @@ RUN apt-get install tesseract-ocr -y && \
     pip install pdf2image && \
     pip install PyPDF && \
     pip install pyocr && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh
 ENV TESSERACT_PATH=/usr/bin/tesseract
 
@@ -449,6 +460,7 @@ RUN pip install --upgrade dask && \
     sed -i "s/^.*Matplotlib is building the font cache using fc-list.*$/# Warning removed by Kaggle/g" /opt/conda/lib/python3.7/site-packages/matplotlib/font_manager.py && \
     # Make matplotlib output in Jupyter notebooks display correctly
     mkdir -p /etc/ipython/ && echo "c = get_config(); c.IPKernelApp.matplotlib = 'inline'" > /etc/ipython/ipython_config.py && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh
 
 # gcloud SDK https://cloud.google.com/sdk/docs/quickstart-debian-ubuntu
@@ -457,6 +469,7 @@ RUN echo "deb [signed-by=/usr/share/keyrings/cloud.google.gpg] http://packages.c
     curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | \
     apt-key --keyring /usr/share/keyrings/cloud.google.gpg add - && \
     apt-get update -y && apt-get install google-cloud-sdk -y && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh
 
 # Add BigQuery client proxy settings
@@ -491,4 +504,5 @@ LABEL build-date=$BUILD_DATE
 LABEL tensorflow-version=$TENSORFLOW_VERSION
 
 # Correlate current release with the git hash inside the kernel editor by running `!cat /etc/git_commit`.
-RUN echo "$GIT_COMMIT" > /etc/git_commit && echo "$BUILD_DATE" > /etc/build_date
+RUN echo "$GIT_COMMIT" > /etc/git_commit && echo "$BUILD_DATE" > /etc/build_date && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)"

From bd28bafc509f3f10e3561474295b866f61bd9149 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 2 Apr 2020 20:09:36 +0000
Subject: [PATCH 0901/1660] Add more granular print torch versions

---
 Dockerfile | 45 +++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 45 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 2282ce73..ca1bb196 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -373,55 +373,100 @@ RUN pip install bcolz && \
     ###########
 
 RUN pip install flashtext && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install wandb && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install marisa-trie && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install pyemd && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install pyupset && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install pympler && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install s3fs && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install featuretools && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install -e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install hpsklearn && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install git+https://github.com/Kaggle/learntools && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install kmapper && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install shap && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install ray && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install gym && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install tensorforce && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install pyarabic && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install conx && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install pandasql && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install tensorflow_hub && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install jieba  && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install git+https://github.com/SauceCat/PDPbox && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install ggplot && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install cesium && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install rgf_python && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     # b/145404107: latest version force specific version of numpy and torch.
     pip install pytext-nlp==0.1.2 && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install tsfresh && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install pymagnitude && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install pykalman && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install optuna && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install chainercv && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install chainer-chemistry && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install plotly_express && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install albumentations && \
     pip install catalyst && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     # b/145133331: latest version is causing issue with gcloud.
     pip install rtree==0.8.3 && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     # b/145133331 osmnx 0.11 requires rtree >= 0.9 which is causing issue with gcloud.
     pip install osmnx==0.10 && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     apt-get -y install libspatialindex-dev && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install pytorch-ignite && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install qgrid && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install bqplot && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install earthengine-api && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install transformers && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install dlib && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install kaggle-environments && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     # b/149905611 The geopandas tests are broken with the version 0.7.0
     pip install geopandas==0.6.3 && \
+    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install nnabla && \
     python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh

From 67e5af3e4c68598316417ca4b5a8e213172d182f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 2 Apr 2020 17:43:45 -0700
Subject: [PATCH 0902/1660] Remove commented line

---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index c68dfa72..e3263341 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -220,7 +220,6 @@ RUN pip install mpld3 && \
     pip install cleverhans && \
     pip install leven && \
     pip install catboost && \
-    #cd /usr/local/src && git clone --depth=1 https://github.com/AxeldeRomblay/MLBox && cd MLBox/python-package && python setup.py install && \
     pip install fastFM && \
     pip install lightfm && \
     pip install folium && \

From 8a5edbe26f513c027336c539f403e0f1cb245c06 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 3 Apr 2020 00:45:00 +0000
Subject: [PATCH 0903/1660] remove pymagnitude

---
 Dockerfile                   |  62 +----------------------------------
 tests/data/vectors.magnitude | Bin 36864 -> 0 bytes
 tests/test_pymagnitude.py    |  17 ----------
 3 files changed, 1 insertion(+), 78 deletions(-)
 delete mode 100644 tests/data/vectors.magnitude
 delete mode 100644 tests/test_pymagnitude.py

diff --git a/Dockerfile b/Dockerfile
index ca1bb196..3abc7bb9 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -48,7 +48,6 @@ RUN pip install distributed==2.10.0 && \
 COPY --from=tensorflow_whl /tmp/tensorflow_cpu/*.whl /tmp/tensorflow_cpu/
 RUN pip install /tmp/tensorflow_cpu/tensorflow*.whl && \
     rm -rf /tmp/tensorflow_cpu && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh
 
 RUN apt-get install -y libfreetype6-dev && \
@@ -97,14 +96,12 @@ RUN apt-get install -y libfreetype6-dev && \
     pip install stop-words && \
     # remove --upgrade once base image is upgraded and include scikit-image >= 0.16.2
     pip install --upgrade scikit-image && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh
 
 RUN pip install ibis-framework && \
     pip install mxnet && \
     pip install gluonnlp && \
     pip install gluoncv && \    
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh
 
 # scikit-learn dependencies
@@ -134,7 +131,6 @@ RUN pip install scipy && \
     apt-get install -y pandoc && \
     pip install git+git://github.com/scikit-learn-contrib/py-earth.git@issue191 && \
     pip install essentia && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh
 
 # vtk with dependencies
@@ -143,7 +139,6 @@ RUN apt-get install -y libgl1-mesa-glx && \
     # xvfbwrapper with dependencies
     apt-get install -y xvfb && \
     pip install xvfbwrapper && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh
 
 RUN pip install mpld3 && \
@@ -239,7 +234,6 @@ RUN pip install mpld3 && \
     pip install eli5 && \
     pip install implicit && \
     pip install dask-ml[xgboost] && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh
 
 RUN pip install kmeans-smote --no-dependencies && \
@@ -258,7 +252,6 @@ RUN pip install kmeans-smote --no-dependencies && \
     pip install cufflinks && \
     pip install lime && \
     pip install memory_profiler && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh
 
 # install cython & cysignals before pyfasttext
@@ -298,7 +291,6 @@ RUN pip install --upgrade cython && \
     # yellowbrick machine learning visualization library
     pip install yellowbrick && \
     pip install mlcrate && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh
 
 RUN pip install bcolz && \
@@ -361,7 +353,6 @@ RUN pip install bcolz && \
     pip install allennlp && \
     # b/149359379 remove once allennlp 1.0 is released which won't cause a spacy downgrade.
     pip install spacy==2.2.3 && python -m spacy download en && python -m spacy download en_core_web_lg && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh
 
     ###########
@@ -373,102 +364,55 @@ RUN pip install bcolz && \
     ###########
 
 RUN pip install flashtext && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install wandb && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install marisa-trie && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install pyemd && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install pyupset && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install pympler && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install s3fs && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install featuretools && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install -e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install hpsklearn && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install git+https://github.com/Kaggle/learntools && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install kmapper && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install shap && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install ray && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install gym && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install tensorforce && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install pyarabic && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install conx && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install pandasql && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install tensorflow_hub && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install jieba  && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install git+https://github.com/SauceCat/PDPbox && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install ggplot && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install cesium && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install rgf_python && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     # b/145404107: latest version force specific version of numpy and torch.
     pip install pytext-nlp==0.1.2 && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install tsfresh && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
-    pip install pymagnitude && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install pykalman && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install optuna && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install chainercv && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install chainer-chemistry && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install plotly_express && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install albumentations && \
     pip install catalyst && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     # b/145133331: latest version is causing issue with gcloud.
     pip install rtree==0.8.3 && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     # b/145133331 osmnx 0.11 requires rtree >= 0.9 which is causing issue with gcloud.
     pip install osmnx==0.10 && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     apt-get -y install libspatialindex-dev && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install pytorch-ignite && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install qgrid && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install bqplot && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install earthengine-api && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install transformers && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install dlib && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install kaggle-environments && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     # b/149905611 The geopandas tests are broken with the version 0.7.0
     pip install geopandas==0.6.3 && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     pip install nnabla && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages
@@ -478,7 +422,6 @@ RUN apt-get install tesseract-ocr -y && \
     pip install pdf2image && \
     pip install PyPDF && \
     pip install pyocr && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh
 ENV TESSERACT_PATH=/usr/bin/tesseract
 
@@ -505,7 +448,6 @@ RUN pip install --upgrade dask && \
     sed -i "s/^.*Matplotlib is building the font cache using fc-list.*$/# Warning removed by Kaggle/g" /opt/conda/lib/python3.7/site-packages/matplotlib/font_manager.py && \
     # Make matplotlib output in Jupyter notebooks display correctly
     mkdir -p /etc/ipython/ && echo "c = get_config(); c.IPKernelApp.matplotlib = 'inline'" > /etc/ipython/ipython_config.py && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh
 
 # gcloud SDK https://cloud.google.com/sdk/docs/quickstart-debian-ubuntu
@@ -514,7 +456,6 @@ RUN echo "deb [signed-by=/usr/share/keyrings/cloud.google.gpg] http://packages.c
     curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | \
     apt-key --keyring /usr/share/keyrings/cloud.google.gpg add - && \
     apt-get update -y && apt-get install google-cloud-sdk -y && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)" && \
     /tmp/clean-layer.sh
 
 # Add BigQuery client proxy settings
@@ -549,5 +490,4 @@ LABEL build-date=$BUILD_DATE
 LABEL tensorflow-version=$TENSORFLOW_VERSION
 
 # Correlate current release with the git hash inside the kernel editor by running `!cat /etc/git_commit`.
-RUN echo "$GIT_COMMIT" > /etc/git_commit && echo "$BUILD_DATE" > /etc/build_date && \
-    python -c "import torch; print('rosbo-torch:', torch.__version__)"
+RUN echo "$GIT_COMMIT" > /etc/git_commit && echo "$BUILD_DATE" > /etc/build_date
diff --git a/tests/data/vectors.magnitude b/tests/data/vectors.magnitude
deleted file mode 100644
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GIT binary patch
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znLjnp*1dYM>F}S2V_5m!l>Ypz@XSN2cg}W9PE0<1{orNWkM^9gkGwax5k2t2&AxNj
zU*9$7IXB&X?dEsf*9OP!uhi6BnLW}oKl+3B-dVT5`VX3|{#!HF^?z%{M}j`3|5bli
ze^Y-|zo0*>Kc#<7AJ?<`as8+s*7xateVbmZ6YZvURlBUcsa?`u)?U=kYTwo#*B;i=
z+A*z9`?S`oHENr*)taQvs((}8RbN*xs^`_`)u+`b)i0@I>X7<?dars=-KB0<H>j0#
zw@|<U7ytuc01SWuFaQR?02lxR|9b;9t=Q)rj*dm*BPWxISd>m-p>rIvWDl-GbS_6G
zee#q}b~8}OT?~9=7lUT9lR*<{VbDl|40ezJ126G2xRdx8Y$weOJfw+118HR7COa71
zLA(sMkvkb|CEFQnAsz;sNdtpT#Ld7UcQB|Y+Zb#lTN!L1TNtb-n;F!RO$^o%gTY!-
z&!CoUWZ)tj7_1@d8Pt$E2CK<B2GwLOgH@!KK^1W^s3dC`XrzXLN>($dAk_>AS;fFf
zsu;+ml7U2Y1`eVzuoIPmjZ`qegfI{l1=l%?=bPfhb@Jl5C*v)sI8o1<wdJUiuzRVZ
zFvANg4*J|;AJvZQ(aDS%OJo!2lqA`3HKJ2r{4&NhD4Y0#DM}))k<H|AnjpIWQ8Qz8
z6btwN^>c#$8eKpE17H9QfB`T72EYIq00UqE41fVJ00#bV2E3w8=tmRd<I$8sXGj>S
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zzyKHk17H9Q+{Om1>wl!@1o{O941fVJ00zJS7ytuc01SWuFaQR?02ufL4dk6jwu<Yt
zt=aJTgM#P}DhMHwe)c|H2$<f`r=K4nU`+4RW6>c9_QK72jOYiY+6y=PF`W`1V0tGX
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R17oN4zX&l#^j|HC{{UPNZ$|(C

diff --git a/tests/test_pymagnitude.py b/tests/test_pymagnitude.py
deleted file mode 100644
index fa74a4a0..00000000
--- a/tests/test_pymagnitude.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import unittest
-import pymagnitude
-
-from pymagnitude import *
-
-class TestPyMagnitude(unittest.TestCase):
-    def test_has_vectors(self):
-        vectors = Magnitude('/input/tests/data/vectors.magnitude')
-        self.assertEqual(len(vectors), 2)
-
-    def test_vector_search(self):
-        vectors = Magnitude('/input/tests/data/vectors.magnitude')
-        self.assertTrue('the' in vectors)
-
-    def test_vector_query(self):
-        vectors = Magnitude('/input/tests/data/vectors.magnitude')
-        self.assertTrue(vectors.dim == len(vectors.query('the')))

From 40a9b076a102c18a8f6026c44152b24845de5f6b Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 7 Apr 2020 10:18:37 -0700
Subject: [PATCH 0904/1660] Update README to include public GPU repo.

---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 45216293..378fe79c 100644
--- a/README.md
+++ b/README.md
@@ -7,7 +7,7 @@ This repository includes our Dockerfiles for building the [CPU-only](Dockerfile)
 Our Python Docker images are stored on Google Container Registry at:
 
 * CPU-only: [gcr.io/kaggle-images/python](https://gcr.io/kaggle-images/python)
-* GPU: private for now, we will make it public soon.
+* GPU: [gcr.io/kaggle-gpu-images/python](https://gcr.io/kaggle-gpu-images/python)
 
 Note: The base image for the GPU image is our CPU-only image. The [gpu.Dockerfile](gpu.Dockerfile) adds a few extra layers to install GPU related libraries and packages (cuda, libcudnn, pycuda etc.) and reinstall packages with specific GPU builds (torch, tensorflow and a few mores).
 
@@ -71,7 +71,7 @@ For the GPU image:
 # Run the image built locally:
 docker run --runtime nvidia --rm -it kaggle/python-gpu-build /bin/bash
 # Run the image pre-built image from gcr.io
-# TODO: Our GPU images are not yet publicly available.
+docker run --rm -it gcr.io/kaggle-gpu-images/python /bin/bash
 ```
 
 To ensure your container can access the GPU, follow the instructions posted [here](https://github.com/Kaggle/docker-python/issues/361#issuecomment-448093930).

From e359b08d320f0d4c36c543315e564b6a0ef3b2ea Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 7 Apr 2020 10:23:18 -0700
Subject: [PATCH 0905/1660] Replace kernels by notebooks

---
 README.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index 378fe79c..c31dfd87 100644
--- a/README.md
+++ b/README.md
@@ -1,8 +1,8 @@
 # docker-python
 
-[Kaggle Kernels](https://www.kaggle.com/kernels) allow users to run a Python Notebook in the cloud against our competitions and datasets without having to download data or set up their environment.
+[Kaggle Notebooks](https://www.kaggle.com/notebooks) allow users to run a Python Notebook in the cloud against our competitions and datasets without having to download data or set up their environment.
 
-This repository includes our Dockerfiles for building the [CPU-only](Dockerfile) and [GPU](gpu.Dockerfile) image that runs Python Kernels on Kaggle.
+This repository includes our Dockerfiles for building the [CPU-only](Dockerfile) and [GPU](gpu.Dockerfile) image that runs Python Notebooks on Kaggle.
 
 Our Python Docker images are stored on Google Container Registry at:
 
@@ -13,11 +13,11 @@ Note: The base image for the GPU image is our CPU-only image. The [gpu.Dockerfil
 
 ## Getting started
 
-To get started with this image, read our [guide](http://blog.kaggle.com/2016/02/05/how-to-get-started-with-data-science-in-containers/) to using it yourself, or browse [Kaggle Kernels](https://www.kaggle.com/kernels) for ideas.
+To get started with this image, read our [guide](http://blog.kaggle.com/2016/02/05/how-to-get-started-with-data-science-in-containers/) to using it yourself, or browse [Kaggle Notebooks](https://www.kaggle.com/notebooks) for ideas.
 
 ## Requesting new packages
 
-First, evaluate whether installing the package yourself in your own Kernels suits your needs. See [guide](https://github.com/Kaggle/docker-python/wiki/Missing-Packages).
+First, evaluate whether installing the package yourself in your own notebooks suits your needs. See [guide](https://github.com/Kaggle/docker-python/wiki/Missing-Packages).
 
 If you the first step above doesn't work for your use case, [open an issue](https://github.com/Kaggle/docker-python/issues/new) or a [pull request](https://github.com/Kaggle/docker-python/pulls).
 

From e18d33b8467ef91c5f6ab1ece86405aeed862eb4 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 7 Apr 2020 10:25:06 -0700
Subject: [PATCH 0906/1660] Add missing --runtime flag.

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index c31dfd87..a06cd45c 100644
--- a/README.md
+++ b/README.md
@@ -71,7 +71,7 @@ For the GPU image:
 # Run the image built locally:
 docker run --runtime nvidia --rm -it kaggle/python-gpu-build /bin/bash
 # Run the image pre-built image from gcr.io
-docker run --rm -it gcr.io/kaggle-gpu-images/python /bin/bash
+docker run --runtime nvidia --rm -it gcr.io/kaggle-gpu-images/python /bin/bash
 ```
 
 To ensure your container can access the GPU, follow the instructions posted [here](https://github.com/Kaggle/docker-python/issues/361#issuecomment-448093930).

From a0b73216af90450f7daa69bdd909cf41347d5d88 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 7 Apr 2020 21:58:06 +0000
Subject: [PATCH 0907/1660] Upgrade base image

---
 Dockerfile | 16 +++++-----------
 1 file changed, 5 insertions(+), 11 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 3abc7bb9..19936dec 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,4 +1,4 @@
-ARG BASE_TAG=2019.03
+ARG BASE_TAG=2020.02
 ARG TENSORFLOW_VERSION=2.1.0
 
 FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37 as tensorflow_whl
@@ -37,8 +37,6 @@ RUN conda install -c conda-forge matplotlib basemap cartopy python-igraph && \
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
 # b/150498764 distributed 2.11.0 fails at import while trying to reach out to 8.8.8.8 since the network is disabled in our hermetic tests.
 RUN pip install distributed==2.10.0 && \
-    # b/145358669 remove --upgrade once we upgrade base image which will include numpy >= 1.17
-    pip install --upgrade numpy && \
     pip install seaborn python-dateutil dask && \
     pip install pyyaml joblib pytagcloud husl geopy ml_metrics mne pyshp && \
     pip install pandas && \
@@ -94,8 +92,6 @@ RUN apt-get install -y libfreetype6-dev && \
     vader_lexicon verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe && \
     # Stop-words
     pip install stop-words && \
-    # remove --upgrade once base image is upgraded and include scikit-image >= 0.16.2
-    pip install --upgrade scikit-image && \
     /tmp/clean-layer.sh
 
 RUN pip install ibis-framework && \
@@ -426,12 +422,10 @@ RUN apt-get install tesseract-ocr -y && \
 ENV TESSERACT_PATH=/usr/bin/tesseract
 
 # Install vowpalwabbit
-# RUN apt-get install -y libboost-dev libboost-program-options-dev libboost-system-dev libboost-thread-dev libboost-math-dev libboost-test-dev zlib1g-dev cmake g++ && \
-#     pip install six && \
-#     apt-get install -y libboost-python-dev default-jdk && \
-#     ln -s /usr/lib/x86_64-linux-gnu/libboost_python-py35.so /usr/lib/x86_64-linux-gnu/libboost_python3.so && \
-#     pip install vowpalwabbit && \
-#     /tmp/clean-layer.sh
+# Instructions: https://github.com/VowpalWabbit/vowpal_wabbit/wiki/Python#installing
+RUN apt-get install -y libboost-dev libboost-program-options-dev libboost-system-dev libboost-thread-dev libboost-math-dev libboost-test-dev libboost-python-dev zlib1g-dev && \
+    pip install vowpalwabbit && \
+    /tmp/clean-layer.sh
 
 # For Facets
 ENV PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/

From 38397da3cca36c812b3600acc97c585c1a957a95 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 7 Apr 2020 23:11:17 +0000
Subject: [PATCH 0908/1660] Use DLVM base image

---
 Dockerfile | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 19936dec..e39d9c7c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,8 +1,8 @@
-ARG BASE_TAG=2020.02
+ARG BASE_TAG=latest
 ARG TENSORFLOW_VERSION=2.1.0
 
 FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37 as tensorflow_whl
-FROM continuumio/anaconda3:${BASE_TAG}
+FROM gcr.io/deeplearning-platform-release/base-cpu:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
@@ -27,10 +27,9 @@ ENV PROJ_LIB=/opt/conda/share/proj
 # Install conda packages not available on pip.
 # When using pip in a conda environment, conda commands should be ran first and then
 # the remaining pip commands: https://www.anaconda.com/using-pip-in-a-conda-environment/
-RUN conda install -c conda-forge matplotlib basemap cartopy python-igraph && \
+RUN conda install -c conda-forge matplotlib basemap cartopy python-igraph imagemagick && \
     conda install -c h2oai h2o && \
     conda install -c pytorch pytorch torchvision torchaudio cpuonly && \
-    conda install -c conda-forge/label/cf202003 imagemagick && \
     conda install -c anaconda pysal && \
     /tmp/clean-layer.sh
 

From e97d50aa3d0112076d02b3b037ebda2a27777788 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 7 Apr 2020 23:41:29 +0000
Subject: [PATCH 0909/1660] remove enum34 backport

---
 Dockerfile | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index e39d9c7c..952776f6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -17,6 +17,10 @@ RUN apt-get update && \
 RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \
     apt-get update && apt-get install -y build-essential unzip cmake && \
     pip install --upgrade pip && \
+    # enum34 is a backport of the Python 3.4 enum class to Python < 3.4. 
+    # No need since we are using Python 3.7. This is causing errors for packages
+    # expecting the 3.7 version of enum. e.g. AttributeError: module 'enum' has no attribute 'IntFlag'
+    pip uninstall -y enum34 && \
     /tmp/clean-layer.sh
 
 # Make sure the dynamic linker finds the right libstdc++

From 0bd0a2fbb811a83fcf7c35999e44e8eaf148c5b1 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 8 Apr 2020 16:26:44 +0000
Subject: [PATCH 0910/1660] Set imagemagick policy

---
 Dockerfile                     |  5 +++--
 patches/imagemagick-policy.xml | 10 ++++++++++
 2 files changed, 13 insertions(+), 2 deletions(-)
 create mode 100644 patches/imagemagick-policy.xml

diff --git a/Dockerfile b/Dockerfile
index e3263341..235c20d5 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -29,10 +29,9 @@ ENV PROJ_LIB=/opt/conda/share/proj
 # Install conda packages not available on pip.
 # When using pip in a conda environment, conda commands should be ran first and then
 # the remaining pip commands: https://www.anaconda.com/using-pip-in-a-conda-environment/
-RUN conda install -c conda-forge matplotlib basemap cartopy python-igraph && \
+RUN conda install -c conda-forge matplotlib basemap cartopy python-igraph imagemagick && \
     conda install -c h2oai h2o && \
     conda install -c pytorch pytorch torchvision torchaudio cpuonly && \
-    conda install -c conda-forge/label/cf202003 imagemagick && \
     conda install -c anaconda pysal && \
     /tmp/clean-layer.sh
 
@@ -466,6 +465,8 @@ ADD patches/kaggle_web_client.py /root/.local/lib/python3.6/site-packages/kaggle
 ADD patches/kaggle_datasets.py /root/.local/lib/python3.6/site-packages/kaggle_datasets.py
 ADD patches/log.py /root/.local/lib/python3.6/site-packages/log.py
 ADD patches/sitecustomize.py /root/.local/lib/python3.6/site-packages/sitecustomize.py
+# Override default imagemagick policies
+ADD patches/imagemagick-policy.xml /etc/ImageMagick-6/policy.xml
 
 # TensorBoard Jupyter extension. Should be replaced with TensorBoard's provided magic once we have
 # worker tunneling support in place.
diff --git a/patches/imagemagick-policy.xml b/patches/imagemagick-policy.xml
new file mode 100644
index 00000000..981fb59f
--- /dev/null
+++ b/patches/imagemagick-policy.xml
@@ -0,0 +1,10 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE policymap [
+  <!ELEMENT policymap (policy)+>
+  <!ATTLIST policymap xmlns CDATA #FIXED ''>
+  <!ELEMENT policy EMPTY>
+  <!ATTLIST policy xmlns CDATA #FIXED '' domain NMTOKEN #REQUIRED
+    name NMTOKEN #IMPLIED pattern CDATA #IMPLIED rights NMTOKEN #IMPLIED
+    stealth NMTOKEN #IMPLIED value CDATA #IMPLIED>
+]>
+<policymap></policymap> 
\ No newline at end of file

From af61887fa10af7d7b4f44dc7a76226f3c4985f2e Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 8 Apr 2020 17:51:03 +0000
Subject: [PATCH 0911/1660] pin torch & cie

---
 Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 952776f6..f48873cd 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -32,8 +32,8 @@ ENV PROJ_LIB=/opt/conda/share/proj
 # When using pip in a conda environment, conda commands should be ran first and then
 # the remaining pip commands: https://www.anaconda.com/using-pip-in-a-conda-environment/
 RUN conda install -c conda-forge matplotlib basemap cartopy python-igraph imagemagick && \
-    conda install -c h2oai h2o && \
-    conda install -c pytorch pytorch torchvision torchaudio cpuonly && \
+    # b/142337634#comment22 pin required to avoid torchaudio downgrade.
+    conda install -c pytorch pytorch=1.4.0 torchvision=0.5.0 torchaudio=0.4.0 cpuonly && \
     conda install -c anaconda pysal && \
     /tmp/clean-layer.sh
 

From f350f7336e0d85deb39632568264ebcae346a41a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 8 Apr 2020 17:51:40 +0000
Subject: [PATCH 0912/1660] install h2o from source

---
 Dockerfile | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index f48873cd..f0ba98d7 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -43,6 +43,14 @@ RUN pip install distributed==2.10.0 && \
     pip install seaborn python-dateutil dask && \
     pip install pyyaml joblib pytagcloud husl geopy ml_metrics mne pyshp && \
     pip install pandas && \
+    # Install h2o from source.
+    # Use `conda install -c h2oai h2o` once Python 3.7 version is released to conda.
+    apt-get install -y default-jdk && \
+    cd /usr/local/src && mkdir h2o && cd h2o && \
+    wget --no-verbose http://h2o-release.s3.amazonaws.com/h2o/latest_stable -O latest && \
+    wget --no-verbose --no-check-certificate -i latest -O h2o.zip && rm latest && \
+    unzip h2o.zip && rm h2o.zip && cp h2o-*/h2o.jar . && \
+    pip install `find . -name "*whl"` && \
     /tmp/clean-layer.sh
 
 # Install tensorflow from a pre-built wheel

From 0757a50ac468b955782efccf94885393d3378226 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 8 Apr 2020 16:26:44 +0000
Subject: [PATCH 0913/1660] Set imagemagick policy

---
 Dockerfile                     |  2 ++
 patches/imagemagick-policy.xml | 10 ++++++++++
 2 files changed, 12 insertions(+)
 create mode 100644 patches/imagemagick-policy.xml

diff --git a/Dockerfile b/Dockerfile
index f0ba98d7..2acb64e2 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -471,6 +471,8 @@ ADD patches/kaggle_web_client.py /root/.local/lib/python3.7/site-packages/kaggle
 ADD patches/kaggle_datasets.py /root/.local/lib/python3.7/site-packages/kaggle_datasets.py
 ADD patches/log.py /root/.local/lib/python3.7/site-packages/log.py
 ADD patches/sitecustomize.py /root/.local/lib/python3.7/site-packages/sitecustomize.py
+# Override default imagemagick policies
+ADD patches/imagemagick-policy.xml /etc/ImageMagick-6/policy.xml
 
 # TensorBoard Jupyter extension. Should be replaced with TensorBoard's provided magic once we have
 # worker tunneling support in place.
diff --git a/patches/imagemagick-policy.xml b/patches/imagemagick-policy.xml
new file mode 100644
index 00000000..981fb59f
--- /dev/null
+++ b/patches/imagemagick-policy.xml
@@ -0,0 +1,10 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE policymap [
+  <!ELEMENT policymap (policy)+>
+  <!ATTLIST policymap xmlns CDATA #FIXED ''>
+  <!ELEMENT policy EMPTY>
+  <!ATTLIST policy xmlns CDATA #FIXED '' domain NMTOKEN #REQUIRED
+    name NMTOKEN #IMPLIED pattern CDATA #IMPLIED rights NMTOKEN #IMPLIED
+    stealth NMTOKEN #IMPLIED value CDATA #IMPLIED>
+]>
+<policymap></policymap> 
\ No newline at end of file

From 263ed4468c0eef6dc6312d9d3bc5f175963b6c77 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 8 Apr 2020 20:39:34 +0000
Subject: [PATCH 0914/1660] relax torch constraints

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 2acb64e2..33ec3b9d 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -33,7 +33,7 @@ ENV PROJ_LIB=/opt/conda/share/proj
 # the remaining pip commands: https://www.anaconda.com/using-pip-in-a-conda-environment/
 RUN conda install -c conda-forge matplotlib basemap cartopy python-igraph imagemagick && \
     # b/142337634#comment22 pin required to avoid torchaudio downgrade.
-    conda install -c pytorch pytorch=1.4.0 torchvision=0.5.0 torchaudio=0.4.0 cpuonly && \
+    conda install -c pytorch pytorch torchvision "torchaudio>=0.4.0" cpuonly && \
     conda install -c anaconda pysal && \
     /tmp/clean-layer.sh
 

From 0b9edfff18c01601ab007735baec56351c88b2d9 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 8 Apr 2020 21:23:50 +0000
Subject: [PATCH 0915/1660] Install pysal from conda-forge channel

---
 Dockerfile | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 235c20d5..43c2446a 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -29,10 +29,9 @@ ENV PROJ_LIB=/opt/conda/share/proj
 # Install conda packages not available on pip.
 # When using pip in a conda environment, conda commands should be ran first and then
 # the remaining pip commands: https://www.anaconda.com/using-pip-in-a-conda-environment/
-RUN conda install -c conda-forge matplotlib basemap cartopy python-igraph imagemagick && \
+RUN conda install -c conda-forge matplotlib basemap cartopy python-igraph imagemagick pysal && \
     conda install -c h2oai h2o && \
     conda install -c pytorch pytorch torchvision torchaudio cpuonly && \
-    conda install -c anaconda pysal && \
     /tmp/clean-layer.sh
 
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.

From 4170807e4a1c70eef6416fe3f1661c9c1c99a9da Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 8 Apr 2020 21:24:04 +0000
Subject: [PATCH 0916/1660] Add pysal test

---
 tests/test_pysal.py | 8 ++++++++
 1 file changed, 8 insertions(+)
 create mode 100644 tests/test_pysal.py

diff --git a/tests/test_pysal.py b/tests/test_pysal.py
new file mode 100644
index 00000000..52512447
--- /dev/null
+++ b/tests/test_pysal.py
@@ -0,0 +1,8 @@
+import unittest
+
+from pysal.weights import lat2W
+
+class TestPysal(unittest.TestCase):
+    def test_distance_band(self):
+        w = lat2W(4,4)
+        self.assertEqual(16, w.n)
\ No newline at end of file

From 064ed91d3ff7db015386ef736d2074758970029a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 8 Apr 2020 22:08:05 +0000
Subject: [PATCH 0917/1660] Install latest h2o from recommended pip approach

---
 Dockerfile | 8 ++------
 1 file changed, 2 insertions(+), 6 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 33ec3b9d..7881b30e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -45,12 +45,8 @@ RUN pip install distributed==2.10.0 && \
     pip install pandas && \
     # Install h2o from source.
     # Use `conda install -c h2oai h2o` once Python 3.7 version is released to conda.
-    apt-get install -y default-jdk && \
-    cd /usr/local/src && mkdir h2o && cd h2o && \
-    wget --no-verbose http://h2o-release.s3.amazonaws.com/h2o/latest_stable -O latest && \
-    wget --no-verbose --no-check-certificate -i latest -O h2o.zip && rm latest && \
-    unzip h2o.zip && rm h2o.zip && cp h2o-*/h2o.jar . && \
-    pip install `find . -name "*whl"` && \
+    apt-get install default-jre && \
+    pip install -f https://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html h2o && \
     /tmp/clean-layer.sh
 
 # Install tensorflow from a pre-built wheel

From 69345c705161a9d0267121c994c5182e71d0478b Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 8 Apr 2020 23:22:36 +0000
Subject: [PATCH 0918/1660] add missing -y flag to apt command

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 7881b30e..6a4acdbf 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -45,7 +45,7 @@ RUN pip install distributed==2.10.0 && \
     pip install pandas && \
     # Install h2o from source.
     # Use `conda install -c h2oai h2o` once Python 3.7 version is released to conda.
-    apt-get install default-jre && \
+    apt-get install -y default-jre && \
     pip install -f https://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html h2o && \
     /tmp/clean-layer.sh
 

From 1bc8df2d85ba25c2f97bd9082a4d9eb10ea936e6 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 9 Apr 2020 00:42:52 +0000
Subject: [PATCH 0919/1660] Update jaxlib to use python 3.7

---
 gpu.Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 73d562e0..8d3e6a56 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -69,7 +69,7 @@ RUN pip uninstall -y lightgbm && \
     /tmp/clean-layer.sh
 
 # Install JAX
-ENV JAX_PYTHON_VERSION=cp36
+ENV JAX_PYTHON_VERSION=cp37
 ENV JAX_CUDA_VERSION=cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION
 ENV JAX_PLATFORM=linux_x86_64
 ENV JAX_BASE_URL="https://storage.googleapis.com/jax-releases"

From f3c7223855b91bb361375d5f0f51ae5dcb421ab0 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 9 Apr 2020 16:39:55 +0000
Subject: [PATCH 0920/1660] Add back torchaudio version restrictions

Accidently removed after merging from master.
---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 0d195a41..e46ae300 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -32,7 +32,8 @@ ENV PROJ_LIB=/opt/conda/share/proj
 # When using pip in a conda environment, conda commands should be ran first and then
 # the remaining pip commands: https://www.anaconda.com/using-pip-in-a-conda-environment/
 RUN conda install -c conda-forge matplotlib basemap cartopy python-igraph imagemagick pysal && \
-    conda install -c pytorch pytorch torchvision torchaudio cpuonly && \
+    # b/142337634#comment22 pin required to avoid torchaudio downgrade.
+    conda install -c pytorch pytorch torchvision "torchaudio>=0.4.0" cpuonly && \
     /tmp/clean-layer.sh
 
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.

From 6b0e6656cfabc393a1f63394f32d16f0523a9060 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 9 Apr 2020 18:32:29 +0000
Subject: [PATCH 0921/1660] Install libboost-filesystem-dev for lightGBM gpu

---
 Dockerfile | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index e46ae300..f7d867ec 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -15,7 +15,12 @@ RUN apt-get update && \
     # Use a fixed apt-get repo to stop intermittent failures due to flaky httpredir connections,
     # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
 RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \
-    apt-get update && apt-get install -y build-essential unzip cmake && \
+    apt-get update && \
+    # Needed by vowpalwabbit & lightGBM (GPU build).
+    # https://github.com/VowpalWabbit/vowpal_wabbit/wiki/Python#installing
+    # https://lightgbm.readthedocs.io/en/latest/GPU-Tutorial.html#build-lightgbm
+    apt-get install -y build-essential unzip cmake && \
+    apt-get install -y libboost-dev libboost-program-options-dev libboost-system-dev libboost-thread-dev libboost-math-dev libboost-test-dev libboost-python-dev libboost-filesystem-dev zlib1g-dev && \
     pip install --upgrade pip && \
     # enum34 is a backport of the Python 3.4 enum class to Python < 3.4.
     # No need since we are using Python 3.7. This is causing errors for packages
@@ -415,6 +420,7 @@ RUN pip install flashtext && \
     # b/149905611 The geopandas tests are broken with the version 0.7.0
     pip install geopandas==0.6.3 && \
     pip install nnabla && \
+    pip install vowpalwabbit && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages
@@ -427,12 +433,6 @@ RUN apt-get install tesseract-ocr -y && \
     /tmp/clean-layer.sh
 ENV TESSERACT_PATH=/usr/bin/tesseract
 
-# Install vowpalwabbit
-# Instructions: https://github.com/VowpalWabbit/vowpal_wabbit/wiki/Python#installing
-RUN apt-get install -y libboost-dev libboost-program-options-dev libboost-system-dev libboost-thread-dev libboost-math-dev libboost-test-dev libboost-python-dev zlib1g-dev && \
-    pip install vowpalwabbit && \
-    /tmp/clean-layer.sh
-
 # For Facets
 ENV PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/
 # For Theano with MKL

From 7f27fba22d6bdc7057a18e778b24048e1f218fc3 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 9 Apr 2020 22:22:45 +0000
Subject: [PATCH 0922/1660] Fix LD_LIBRARY_PATH for GPU

---
 gpu.Dockerfile | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 8d3e6a56..31596bf9 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -26,7 +26,7 @@ ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
 # CUDA user libraries, either manually or through the use of nvidia-docker) exclude them. One
 # convenient way to do so is to obscure its contents by a bind mount:
 #   docker run .... -v /non-existing-directory:/usr/local/cuda/lib64/stubs:ro ...
-ENV LD_LIBRARY_PATH="/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs"
+ENV LD_LIBRARY_PATH="/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs:$LD_LIBRARY_PATH"
 ENV NVIDIA_VISIBLE_DEVICES=all
 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
 ENV NVIDIA_REQUIRE_CUDA="cuda>=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION"
@@ -60,7 +60,10 @@ RUN pip uninstall -y lightgbm && \
     cd LightGBM && \
     git checkout tags/v2.3.1 && \
     mkdir build && cd build && \
-    cmake -DUSE_GPU=1 -DOpenCL_LIBRARY=/usr/local/cuda/lib64/libOpenCL.so -DOpenCL_INCLUDE_DIR=/usr/local/cuda/include/ .. && \
+    cmake -DUSE_GPU=1 \
+        -DOpenCL_LIBRARY=/usr/local/cuda/lib64/libOpenCL.so -DOpenCL_INCLUDE_DIR=/usr/local/cuda/include/ \
+        -DBoost_LIBRARY_DIR=/usr/lib/x86_64-linux-gnu -DBoost_INCLUDE_DIR=/usr/local/include \
+        .. && \
     make -j$(nproc) && \
     cd /usr/local/src/LightGBM/python-package && \
     python setup.py install --precompile && \

From ad733ca6c07ae8fb7b74ba3543c07b68664e4014 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 10 Apr 2020 18:14:20 +0000
Subject: [PATCH 0923/1660] Use http url for nvidia repo

---
 gpu.Dockerfile | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 31596bf9..7b96335e 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,6 +1,6 @@
 ARG BASE_TAG=staging
 
-FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu16.04 AS nvidia
+FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04 AS nvidia
 FROM gcr.io/kaggle-images/python-tensorflow-whl:2.1.0-py37 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_TAG}
 
@@ -10,6 +10,8 @@ ADD clean-layer.sh  /tmp/clean-layer.sh
 COPY --from=nvidia /etc/apt/sources.list.d/cuda.list /etc/apt/sources.list.d/
 COPY --from=nvidia /etc/apt/sources.list.d/nvidia-ml.list /etc/apt/sources.list.d/
 COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
+# errors with SSL certs on new Ubuntu 18.04 even though all certs are present.
+RUN sed -i 's/deb https:\/\/developer.download.nvidia.com/deb http:\/\/developer.download.nvidia.com/' /etc/apt/sources.list.d/*.list
 
 # Ensure the cuda libraries are compatible with the custom Tensorflow wheels.
 # TODO(b/120050292): Use templating to keep in sync or COPY installed binaries from it.
@@ -30,6 +32,10 @@ ENV LD_LIBRARY_PATH="/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cu
 ENV NVIDIA_VISIBLE_DEVICES=all
 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
 ENV NVIDIA_REQUIRE_CUDA="cuda>=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION"
+# didn't work: 
+# RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
+# RUN wget -qO - https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub | apt-key add -
+# RUN apt-get clean
 RUN apt-get update && apt-get install -y --no-install-recommends \
       cuda-cupti-$CUDA_PKG_VERSION \
       cuda-cudart-$CUDA_PKG_VERSION \

From 08eec32a6f173ccaaac66da1b396332cb5411748 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 10 Apr 2020 18:44:18 +0000
Subject: [PATCH 0924/1660] improve comments

---
 gpu.Dockerfile | 6 +-----
 1 file changed, 1 insertion(+), 5 deletions(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 7b96335e..75e8316b 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -10,7 +10,7 @@ ADD clean-layer.sh  /tmp/clean-layer.sh
 COPY --from=nvidia /etc/apt/sources.list.d/cuda.list /etc/apt/sources.list.d/
 COPY --from=nvidia /etc/apt/sources.list.d/nvidia-ml.list /etc/apt/sources.list.d/
 COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
-# errors with SSL certs on new Ubuntu 18.04 even though all certs are present.
+# See b/142337634#comment28
 RUN sed -i 's/deb https:\/\/developer.download.nvidia.com/deb http:\/\/developer.download.nvidia.com/' /etc/apt/sources.list.d/*.list
 
 # Ensure the cuda libraries are compatible with the custom Tensorflow wheels.
@@ -32,10 +32,6 @@ ENV LD_LIBRARY_PATH="/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cu
 ENV NVIDIA_VISIBLE_DEVICES=all
 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
 ENV NVIDIA_REQUIRE_CUDA="cuda>=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION"
-# didn't work: 
-# RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
-# RUN wget -qO - https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub | apt-key add -
-# RUN apt-get clean
 RUN apt-get update && apt-get install -y --no-install-recommends \
       cuda-cupti-$CUDA_PKG_VERSION \
       cuda-cudart-$CUDA_PKG_VERSION \

From 4c02e3ca183787530e631939da3071e349b2abb2 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 10 Apr 2020 18:45:39 +0000
Subject: [PATCH 0925/1660] rm tensorflow-whl changes

---
 tensorflow-whl/CHANGELOG.md | 1 -
 tensorflow-whl/Dockerfile   | 3 ++-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index 75279c11..3b3965fc 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -11,4 +11,3 @@
 * `2.1.0-rc2-py36`: TensorFlow 2.1.0-rc2 with Python 3.6
 * `2.1.0-py36`: TensorFlow 2.1.0 with Python 3.6
 * `2.1.0-py36-2`: TensorFlow 2.1.0 with CUDA 10.1
-* `2.1.0-py37`: TensorFlow 2.1.0 with Python 3.7
\ No newline at end of file
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index f8c521b5..24dbb16b 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -48,7 +48,8 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     ln -s /usr/local/cuda-$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION /usr/local/cuda && \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
 
-RUN pip install --upgrade pip
+# Work to upgrade to Python 3.7 can be found on this branch: https://github.com/Kaggle/docker-python/blob/upgrade-py37/Dockerfile
+RUN conda install -y python=3.6.6 && pip install --upgrade pip && pip install numpy
 
 # See _TF_(MIN|MAX)_BAZEL_VERSION at https://github.com/tensorflow/tensorflow/blob/master/configure.py.
 ENV BAZEL_VERSION=0.29.1

From 68aece506c89af867a87cadf30dcc5c50989ccbe Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 10 Apr 2020 18:47:37 +0000
Subject: [PATCH 0926/1660] remove unnecessary flags from lightgbm command

---
 gpu.Dockerfile | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 75e8316b..2b868a9c 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -62,10 +62,7 @@ RUN pip uninstall -y lightgbm && \
     cd LightGBM && \
     git checkout tags/v2.3.1 && \
     mkdir build && cd build && \
-    cmake -DUSE_GPU=1 \
-        -DOpenCL_LIBRARY=/usr/local/cuda/lib64/libOpenCL.so -DOpenCL_INCLUDE_DIR=/usr/local/cuda/include/ \
-        -DBoost_LIBRARY_DIR=/usr/lib/x86_64-linux-gnu -DBoost_INCLUDE_DIR=/usr/local/include \
-        .. && \
+    cmake -DUSE_GPU=1 -DOpenCL_LIBRARY=/usr/local/cuda/lib64/libOpenCL.so -DOpenCL_INCLUDE_DIR=/usr/local/cuda/include/ .. && \
     make -j$(nproc) && \
     cd /usr/local/src/LightGBM/python-package && \
     python setup.py install --precompile && \

From c9b1c0a6da22c8c8504b94662520a69b1feec372 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 6 Feb 2020 21:49:01 +0000
Subject: [PATCH 0927/1660] Build TF wheel for Python 3.7

---
 tensorflow-whl/CHANGELOG.md | 1 +
 tensorflow-whl/Dockerfile   | 3 +--
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index 3b3965fc..75279c11 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -11,3 +11,4 @@
 * `2.1.0-rc2-py36`: TensorFlow 2.1.0-rc2 with Python 3.6
 * `2.1.0-py36`: TensorFlow 2.1.0 with Python 3.6
 * `2.1.0-py36-2`: TensorFlow 2.1.0 with CUDA 10.1
+* `2.1.0-py37`: TensorFlow 2.1.0 with Python 3.7
\ No newline at end of file
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 24dbb16b..f8c521b5 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -48,8 +48,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     ln -s /usr/local/cuda-$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION /usr/local/cuda && \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
 
-# Work to upgrade to Python 3.7 can be found on this branch: https://github.com/Kaggle/docker-python/blob/upgrade-py37/Dockerfile
-RUN conda install -y python=3.6.6 && pip install --upgrade pip && pip install numpy
+RUN pip install --upgrade pip
 
 # See _TF_(MIN|MAX)_BAZEL_VERSION at https://github.com/tensorflow/tensorflow/blob/master/configure.py.
 ENV BAZEL_VERSION=0.29.1

From f1d7d8b688c05906895acc4a017f21e590091a27 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 10 Apr 2020 21:27:52 +0000
Subject: [PATCH 0928/1660] Build new TensorFlow wheel with DLEnv base image

---
 tensorflow-whl/CHANGELOG.md | 3 ++-
 tensorflow-whl/Dockerfile   | 8 +++++---
 2 files changed, 7 insertions(+), 4 deletions(-)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index 75279c11..2f87c08a 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -11,4 +11,5 @@
 * `2.1.0-rc2-py36`: TensorFlow 2.1.0-rc2 with Python 3.6
 * `2.1.0-py36`: TensorFlow 2.1.0 with Python 3.6
 * `2.1.0-py36-2`: TensorFlow 2.1.0 with CUDA 10.1
-* `2.1.0-py37`: TensorFlow 2.1.0 with Python 3.7
\ No newline at end of file
+* `2.1.0-py37`: TensorFlow 2.1.0 with Python 3.7
+* `2.1.0-py37-2`: TensorFlow 2.1.0 with Python 3.7 & DLVM base image.
\ No newline at end of file
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index f8c521b5..f0d60770 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -1,5 +1,5 @@
-FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu16.04 AS nvidia
-FROM continuumio/anaconda3:2019.03
+FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04 AS nvidia
+FROM gcr.io/deeplearning-platform-release/base-cpu:latest
 
 # Avoid interactive configuration prompts/dialogs during apt-get.
 ENV DEBIAN_FRONTEND=noninteractive
@@ -12,6 +12,8 @@ RUN apt-get update && \
 COPY --from=nvidia /etc/apt/sources.list.d/cuda.list /etc/apt/sources.list.d/
 COPY --from=nvidia /etc/apt/sources.list.d/nvidia-ml.list /etc/apt/sources.list.d/
 COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
+# See b/142337634#comment28
+RUN sed -i 's/deb https:\/\/developer.download.nvidia.com/deb http:\/\/developer.download.nvidia.com/' /etc/apt/sources.list.d/*.list
 
 # Ensure the cuda libraries are compatible with the GPU image.
 # TODO(b/120050292): Use templating to keep in sync.
@@ -28,7 +30,7 @@ ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
 # CUDA user libraries, either manually or through the use of nvidia-docker) exclude them. One
 # convenient way to do so is to obscure its contents by a bind mount:
 #   docker run .... -v /non-existing-directory:/usr/local/cuda/lib64/stubs:ro ...
-ENV LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs"
+ENV LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs:$LD_LIBRARY_PATH"
 ENV NVIDIA_VISIBLE_DEVICES=all
 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
 ENV NVIDIA_REQUIRE_CUDA="cuda>=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION"

From 2f8f47e904339f2d1cfde49d08555f8a0a1351df Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 10 Apr 2020 21:58:55 +0000
Subject: [PATCH 0929/1660] Install the headless JRE

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index f7d867ec..c491c82e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -49,7 +49,7 @@ RUN pip install distributed==2.10.0 && \
     pip install pandas && \
     # Install h2o from source.
     # Use `conda install -c h2oai h2o` once Python 3.7 version is released to conda.
-    apt-get install -y default-jre && \
+    apt-get install -y default-jre-headless && \
     pip install -f https://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html h2o && \
     /tmp/clean-layer.sh
 

From 1f8e3f79a1d4b40290f6340842bab3a1b0c6bea5 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 10 Apr 2020 15:03:40 -0700
Subject: [PATCH 0930/1660] Add back scikit-image

This is a NoOp since this package is already part of the base image.

However, we prefer to list it here explicitly. We also already have smoke test for this package.
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index f7d867ec..baf63682 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -103,6 +103,7 @@ RUN apt-get install -y libfreetype6-dev && \
     vader_lexicon verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe && \
     # Stop-words
     pip install stop-words && \
+    pip install scikit-image && \
     /tmp/clean-layer.sh
 
 RUN pip install ibis-framework && \

From 0b80201fc5206a7a0cfd745387b2c52398249555 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 13 Apr 2020 09:30:28 -0700
Subject: [PATCH 0931/1660] Upgrade jaxlib

Fixes error: `ValueError: jaxlib is version 0.1.41, but this version of jax requires version 0.1.43.`
---
 gpu.Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 2b868a9c..bf746f91 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -76,7 +76,7 @@ ENV JAX_CUDA_VERSION=cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION
 ENV JAX_PLATFORM=linux_x86_64
 ENV JAX_BASE_URL="https://storage.googleapis.com/jax-releases"
 
-RUN  pip install --upgrade $JAX_BASE_URL/$JAX_CUDA_VERSION/jaxlib-0.1.41-$JAX_PYTHON_VERSION-none-$JAX_PLATFORM.whl && \
+RUN  pip install --upgrade $JAX_BASE_URL/$JAX_CUDA_VERSION/jaxlib-0.1.43-$JAX_PYTHON_VERSION-none-$JAX_PLATFORM.whl && \
      pip install --upgrade jax
 
 # Reinstall packages with a separate version for GPU support.

From 071a64b77ee26a94cac5bb673b1352738900d4cc Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 13 Apr 2020 16:37:08 +0000
Subject: [PATCH 0932/1660] Use dlvm TensorFlow whl

---
 Dockerfile     | 2 +-
 gpu.Dockerfile | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index a9f7ca29..09c4edc6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=latest
 ARG TENSORFLOW_VERSION=2.1.0
 
-FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37-2 as tensorflow_whl
 FROM gcr.io/deeplearning-platform-release/base-cpu:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 2b868a9c..79ade1ce 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=staging
 
 FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04 AS nvidia
-FROM gcr.io/kaggle-images/python-tensorflow-whl:2.1.0-py37 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:2.1.0-py37-2 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh

From 01dcc9dfa76cdbc85bc035474da9d2a793f2e40a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 13 Apr 2020 23:29:30 +0000
Subject: [PATCH 0933/1660] Remove CUDA stubs at the end of the GPU build

---
 gpu.Dockerfile | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 254902dd..95f8f5c3 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -28,6 +28,7 @@ ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
 # CUDA user libraries, either manually or through the use of nvidia-docker) exclude them. One
 # convenient way to do so is to obscure its contents by a bind mount:
 #   docker run .... -v /non-existing-directory:/usr/local/cuda/lib64/stubs:ro ...
+ENV LD_LIBRARY_PATH_NO_STUBS="/usr/local/nvidia/lib64:/usr/local/cuda/lib64:$LD_LIBRARY_PATH"
 ENV LD_LIBRARY_PATH="/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs:$LD_LIBRARY_PATH"
 ENV NVIDIA_VISIBLE_DEVICES=all
 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
@@ -101,3 +102,6 @@ RUN pip install pycuda && \
 # Re-add TensorBoard Jupyter extension patch
 # b/139212522 re-enable TensorBoard once solution for slowdown is implemented.
 # ADD patches/tensorboard/notebook.py /opt/conda/lib/python3.7/site-packages/tensorboard/notebook.py
+
+# Remove the CUDA stubs.
+ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH_NO_STUBS"
\ No newline at end of file

From 111818663ebc8e2837923915bc98d1f49e9c9d8d Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 14 Apr 2020 18:42:45 +0000
Subject: [PATCH 0934/1660] delete old tagged images from Jenkins GPU worker

---
 Jenkinsfile | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 4d764ad5..21d18c07 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -64,7 +64,13 @@ pipeline {
       steps {
         sh '''#!/bin/bash
           set -exo pipefail
-          docker image prune -f # remove previously built image to prevent disk from filling up
+          # Remove images (dangling or not) created more than 120h (5 days ago) to prevent disk from filling up.
+          docker image prune --all --force --filter "until=120h"
+          # Remove any dangling images (no tags).
+          # All builds for the same branch uses the same tag. This means a subsequent build for the same branch
+          # will untag the previously built image which is safe to do. Builds for a single branch are performed
+          # serially.
+          docker image prune -f
           ./build --gpu --base-image-tag ${STAGING_TAG} | ts
           ./push --gpu ${PRETEST_TAG}
         '''

From ee2e7204cd2932ad04f742725898c249de989f55 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 15 Apr 2020 00:30:15 +0000
Subject: [PATCH 0935/1660] Add nbconvert test

---
 tests/data/notebook.ipynb       | 29 +++++++++++++++++++++++++++++
 tests/test_jupyter_nbconvert.py | 20 ++++++++++++++++++++
 2 files changed, 49 insertions(+)
 create mode 100644 tests/data/notebook.ipynb
 create mode 100644 tests/test_jupyter_nbconvert.py

diff --git a/tests/data/notebook.ipynb b/tests/data/notebook.ipynb
new file mode 100644
index 00000000..11b37b9c
--- /dev/null
+++ b/tests/data/notebook.ipynb
@@ -0,0 +1,29 @@
+{
+  "cells": [
+    {
+      "metadata": {
+        "trusted": true
+      },
+      "cell_type": "code",
+      "source": "x=999\nprint(x)",
+      "execution_count": null,
+      "outputs": []
+    }
+  ],
+  "metadata":{
+    "language_info":{
+       "codemirror_mode":{
+          "name":"ipython",
+          "version":3
+       },
+       "file_extension":".py",
+       "mimetype":"text/x-python",
+       "name":"python",
+       "nbconvert_exporter":"python",
+       "pygments_lexer":"ipython3",
+       "version":"3.7.6"
+    }
+  },
+  "nbformat":4,
+  "nbformat_minor":4
+}
\ No newline at end of file
diff --git a/tests/test_jupyter_nbconvert.py b/tests/test_jupyter_nbconvert.py
new file mode 100644
index 00000000..b3925993
--- /dev/null
+++ b/tests/test_jupyter_nbconvert.py
@@ -0,0 +1,20 @@
+import unittest
+
+import subprocess
+
+class TestJupyterNbconvert(unittest.TestCase):
+    def test_nbconvert(self):
+        result = subprocess.run([
+            'jupyter',
+            'nbconvert',
+            '--to',
+            'notebook',
+            '--template',
+            '/opt/kaggle/nbconvert-extensions.tpl',
+            '--execute',
+            '--stdout',
+            '/input/tests/data/notebook.ipynb',
+        ], stdout=subprocess.PIPE)
+
+        self.assertEqual(0, result.returncode)
+        self.assertTrue(b'999' in result.stdout)
\ No newline at end of file

From 8d21b2603e75740b4a1e1b9bef88fc2af92d775b Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 15 Apr 2020 22:47:12 +0000
Subject: [PATCH 0936/1660] Restrict which images are being pruned

---
 Dockerfile  | 2 ++
 Jenkinsfile | 2 +-
 2 files changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 09c4edc6..5954a5cd 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -491,6 +491,8 @@ ARG BUILD_DATE=unknown
 LABEL git-commit=$GIT_COMMIT
 LABEL build-date=$BUILD_DATE
 LABEL tensorflow-version=$TENSORFLOW_VERSION
+# Used in the Jenkins `Docker GPU Build` step to restrict the images being pruned.
+LABEL kaggle-image=python
 
 # Correlate current release with the git hash inside the kernel editor by running `!cat /etc/git_commit`.
 RUN echo "$GIT_COMMIT" > /etc/git_commit && echo "$BUILD_DATE" > /etc/build_date
diff --git a/Jenkinsfile b/Jenkinsfile
index 21d18c07..457a09b4 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -65,7 +65,7 @@ pipeline {
         sh '''#!/bin/bash
           set -exo pipefail
           # Remove images (dangling or not) created more than 120h (5 days ago) to prevent disk from filling up.
-          docker image prune --all --force --filter "until=120h"
+          docker image prune --all --force --filter "until=120h" --filter "label=kaggle-image=python"
           # Remove any dangling images (no tags).
           # All builds for the same branch uses the same tag. This means a subsequent build for the same branch
           # will untag the previously built image which is safe to do. Builds for a single branch are performed

From 9822eaca189dd2e75bab3e28a7226f6c0f0c8e40 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 15 Apr 2020 22:55:03 +0000
Subject: [PATCH 0937/1660] Rename label to kaggle-lang

---
 Dockerfile  | 2 +-
 Jenkinsfile | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 5954a5cd..ee3f1887 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -492,7 +492,7 @@ LABEL git-commit=$GIT_COMMIT
 LABEL build-date=$BUILD_DATE
 LABEL tensorflow-version=$TENSORFLOW_VERSION
 # Used in the Jenkins `Docker GPU Build` step to restrict the images being pruned.
-LABEL kaggle-image=python
+LABEL kaggle-lang=python
 
 # Correlate current release with the git hash inside the kernel editor by running `!cat /etc/git_commit`.
 RUN echo "$GIT_COMMIT" > /etc/git_commit && echo "$BUILD_DATE" > /etc/build_date
diff --git a/Jenkinsfile b/Jenkinsfile
index 457a09b4..65640121 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -65,7 +65,7 @@ pipeline {
         sh '''#!/bin/bash
           set -exo pipefail
           # Remove images (dangling or not) created more than 120h (5 days ago) to prevent disk from filling up.
-          docker image prune --all --force --filter "until=120h" --filter "label=kaggle-image=python"
+          docker image prune --all --force --filter "until=120h" --filter "label=kaggle-lang=python"
           # Remove any dangling images (no tags).
           # All builds for the same branch uses the same tag. This means a subsequent build for the same branch
           # will untag the previously built image which is safe to do. Builds for a single branch are performed

From 6d1efddf09067eaa3741fe5344fab35c569fab00 Mon Sep 17 00:00:00 2001
From: Geert Litjens <gjslitjens@gmail.com>
Date: Tue, 14 Apr 2020 20:48:49 +0200
Subject: [PATCH 0938/1660] Downgrade libpixman to 0.34 to circumvent known bug
 in 38.0

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index ee3f1887..fe2d58ec 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -39,6 +39,7 @@ ENV PROJ_LIB=/opt/conda/share/proj
 RUN conda install -c conda-forge matplotlib basemap cartopy python-igraph imagemagick pysal && \
     # b/142337634#comment22 pin required to avoid torchaudio downgrade.
     conda install -c pytorch pytorch torchvision "torchaudio>=0.4.0" cpuonly && \
+	conda install -c conda-forge --no-deps pixman==0.34 && \
     /tmp/clean-layer.sh
 
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.

From b05d85ff52200f905593cd186ad8264ef54cca2e Mon Sep 17 00:00:00 2001
From: Geert Litjens <gjslitjens@gmail.com>
Date: Thu, 16 Apr 2020 13:04:26 +0200
Subject: [PATCH 0939/1660] Fixed tabs/spaces and added comment

---
 Dockerfile | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index fe2d58ec..aa87fe3d 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -39,7 +39,9 @@ ENV PROJ_LIB=/opt/conda/share/proj
 RUN conda install -c conda-forge matplotlib basemap cartopy python-igraph imagemagick pysal && \
     # b/142337634#comment22 pin required to avoid torchaudio downgrade.
     conda install -c pytorch pytorch torchvision "torchaudio>=0.4.0" cpuonly && \
-	conda install -c conda-forge --no-deps pixman==0.34 && \
+    # pixman 0.38.0 has a known issue causing issues with packages such as pycairo & openslide.
+    # See: https://gitlab.freedesktop.org/pixman/pixman/commit/8256c235d9b3854d039242356905eca854a890ba
+    conda install -c conda-forge --no-deps pixman==0.34 && \
     /tmp/clean-layer.sh
 
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.

From 06822323e8162d7a7dd5a9188cb4a640a2bdcbb9 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 16 Apr 2020 17:42:16 +0000
Subject: [PATCH 0940/1660] Pin jax

---
 gpu.Dockerfile | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 95f8f5c3..ea45ddd9 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -72,13 +72,16 @@ RUN pip uninstall -y lightgbm && \
     /tmp/clean-layer.sh
 
 # Install JAX
+# b/154150582#comment9: JAX 0.1.63 with jaxlib 0.1.43 is causing the GPU tests to hang.
+ENV JAX_VERSION=0.1.62
+ENV JAXLIB_VERSION=0.1.41
 ENV JAX_PYTHON_VERSION=cp37
 ENV JAX_CUDA_VERSION=cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION
 ENV JAX_PLATFORM=linux_x86_64
 ENV JAX_BASE_URL="https://storage.googleapis.com/jax-releases"
 
-RUN  pip install --upgrade $JAX_BASE_URL/$JAX_CUDA_VERSION/jaxlib-0.1.43-$JAX_PYTHON_VERSION-none-$JAX_PLATFORM.whl && \
-     pip install --upgrade jax
+RUN  pip install $JAX_BASE_URL/$JAX_CUDA_VERSION/jaxlib-$JAXLIB_VERSION-$JAX_PYTHON_VERSION-none-$JAX_PLATFORM.whl && \
+     pip install jax==$JAX_VERSION
 
 # Reinstall packages with a separate version for GPU support.
 COPY --from=tensorflow_whl /tmp/tensorflow_gpu/*.whl /tmp/tensorflow_gpu/

From a0b81ee86f26d606f8d70b58e161d8aef19f6161 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 16 Apr 2020 21:30:09 +0000
Subject: [PATCH 0941/1660] Remove pixman pin

---
 Dockerfile     |  3 ---
 gpu.Dockerfile | 10 ++++++++--
 2 files changed, 8 insertions(+), 5 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index aa87fe3d..ee3f1887 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -39,9 +39,6 @@ ENV PROJ_LIB=/opt/conda/share/proj
 RUN conda install -c conda-forge matplotlib basemap cartopy python-igraph imagemagick pysal && \
     # b/142337634#comment22 pin required to avoid torchaudio downgrade.
     conda install -c pytorch pytorch torchvision "torchaudio>=0.4.0" cpuonly && \
-    # pixman 0.38.0 has a known issue causing issues with packages such as pycairo & openslide.
-    # See: https://gitlab.freedesktop.org/pixman/pixman/commit/8256c235d9b3854d039242356905eca854a890ba
-    conda install -c conda-forge --no-deps pixman==0.34 && \
     /tmp/clean-layer.sh
 
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index ea45ddd9..02df9603 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -56,6 +56,14 @@ RUN apt-get install -y ocl-icd-libopencl1 clinfo libboost-all-dev && \
     echo "libnvidia-opencl.so.1" > /etc/OpenCL/vendors/nvidia.icd && \
     /tmp/clean-layer.sh
 
+# When using pip in a conda environment, conda commands should be ran first and then
+# the remaining pip commands: https://www.anaconda.com/using-pip-in-a-conda-environment/
+# However, because this image is based on the CPU image, this isn't possible but better
+# to put them at the top of this file to minize conflicts.
+RUN conda remove --force -y pytorch torchvision torchaudio cpuonly && \
+    conda install -y pytorch torchvision torchaudio cudatoolkit=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION -c pytorch && \ && \
+    /tmp/clean-layer.sh
+
 # Install LightGBM with GPU
 RUN pip uninstall -y lightgbm && \
     cd /usr/local/src && \
@@ -88,8 +96,6 @@ COPY --from=tensorflow_whl /tmp/tensorflow_gpu/*.whl /tmp/tensorflow_gpu/
 RUN pip uninstall -y tensorflow && \
     pip install /tmp/tensorflow_gpu/tensorflow*.whl && \
     rm -rf /tmp/tensorflow_gpu && \
-    conda remove --force -y pytorch torchvision torchaudio cpuonly && \
-    conda install -y pytorch torchvision torchaudio cudatoolkit=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION -c pytorch && \
     pip uninstall -y mxnet && \
     # b/126259508 --no-deps prevents numpy from being downgraded.
     pip install --no-deps mxnet-cu$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \

From 096441074a89395b43f3bdec08fd88db7642b253 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 16 Apr 2020 22:52:46 +0000
Subject: [PATCH 0942/1660] remove duplicate &&

---
 gpu.Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 02df9603..a4f46335 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -61,7 +61,7 @@ RUN apt-get install -y ocl-icd-libopencl1 clinfo libboost-all-dev && \
 # However, because this image is based on the CPU image, this isn't possible but better
 # to put them at the top of this file to minize conflicts.
 RUN conda remove --force -y pytorch torchvision torchaudio cpuonly && \
-    conda install -y pytorch torchvision torchaudio cudatoolkit=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION -c pytorch && \ && \
+    conda install -y pytorch torchvision torchaudio cudatoolkit=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION -c pytorch && \
     /tmp/clean-layer.sh
 
 # Install LightGBM with GPU

From 74bc08e5138774204115d686c37c01fb62cbee03 Mon Sep 17 00:00:00 2001
From: Geert Litjens <gjslitjens@gmail.com>
Date: Sat, 18 Apr 2020 20:38:13 +0200
Subject: [PATCH 0943/1660] Added fix for libpixman 0.38 bug

---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index ee3f1887..75bedbea 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -449,6 +449,8 @@ RUN pip install --upgrade dask && \
     sed -i "s/^.*Matplotlib is building the font cache using fc-list.*$/# Warning removed by Kaggle/g" /opt/conda/lib/python3.7/site-packages/matplotlib/font_manager.py && \
     # Make matplotlib output in Jupyter notebooks display correctly
     mkdir -p /etc/ipython/ && echo "c = get_config(); c.IPKernelApp.matplotlib = 'inline'" > /etc/ipython/ipython_config.py && \
+    # Temporary patch for broken libpixman 0.38 in conda-forge, symlink to system libpixman 0.34 untile conda package gets updated to 0.38.5 or higher.
+    ln -sf /usr/lib/x86_64-linux-gnu/libpixman-1.so.0.34.0 /opt/conda/lib/libpixman-1.so.0.38.0 && \
     /tmp/clean-layer.sh
 
 # gcloud SDK https://cloud.google.com/sdk/docs/quickstart-debian-ubuntu

From 3280eb8a33b2cf44362fbf8d67669da2b2d2e24a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 20 Apr 2020 16:44:19 +0000
Subject: [PATCH 0944/1660] Fix push step

---
 Jenkinsfile |  6 ++++--
 push        | 31 ++++++++++++++++++++-----------
 2 files changed, 24 insertions(+), 13 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 65640121..d6acd0be 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -48,7 +48,8 @@ pipeline {
           set -exo pipefail
 
           date
-          ./push ${STAGING_TAG}
+          docker pull gcr.io/kaggle-images/python:${PRETEST_TAG}
+          ./push --source-image gcr.io/kaggle-images/python:${PRETEST_TAG} ${STAGING_TAG}
         '''
       }
     }
@@ -96,7 +97,8 @@ pipeline {
           set -exo pipefail
 
           date
-          ./push --gpu ${STAGING_TAG}
+          docker pull gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
+          ./push --source-image gcr.io/kaggle-private-byod/python:${PRETEST_TAG} --gpu ${STAGING_TAG}
         '''
       }
     }
diff --git a/push b/push
index c3ebcaf4..cdd53389 100755
--- a/push
+++ b/push
@@ -7,11 +7,13 @@ Usage: $0 [OPTIONS] [LABEL]
 Push a newly-built image with the given LABEL to gcr.io and DockerHub.
 
 Options:
-    -g, --gpu   Push the image with GPU support.
+    -g, --gpu                   Push the image with GPU support.
+    -s, --source-image IMAGE    Tag for the source image. 
 EOF
 }
 
-SOURCE_IMAGE='kaggle/python-build'
+SOURCE_IMAGE_TAG='kaggle/python-build:latest'
+SOURCE_IMAGE_TAG_OVERRIDE=''
 TARGET_IMAGE='gcr.io/kaggle-images/python'
 
 while :; do
@@ -21,9 +23,18 @@ while :; do
             exit
             ;;
         -g|--gpu)
-            SOURCE_IMAGE='kaggle/python-gpu-build'
+            SOURCE_IMAGE_TAG='kaggle/python-gpu-build:latest'
             TARGET_IMAGE='gcr.io/kaggle-private-byod/python'
             ;;
+        -s|--source-image)
+            if [[ -z $2 ]]; then
+                usage
+                printf 'ERROR: No IMAGE specified after the %s flag.\n' "$1" >&2
+                exit
+            fi
+            SOURCE_IMAGE_TAG_OVERRIDE=$2
+            shift # skip the flag value
+            ;;
         -?*)
             usage
             printf 'ERROR: Unknown option: %s\n' "$1" >&2
@@ -38,16 +49,14 @@ done
 
 LABEL=${1:-testing}
 
-readonly SOURCE_IMAGE
+if [[ -n "$SOURCE_IMAGE_TAG_OVERRIDE" ]]; then
+    SOURCE_IMAGE_TAG="$SOURCE_IMAGE_TAG_OVERRIDE"
+fi
+
+readonly SOURCE_IMAGE_TAG
 readonly TARGET_IMAGE
 readonly LABEL
 
 set -x
-docker tag "${SOURCE_IMAGE}:latest" "${TARGET_IMAGE}:${LABEL}"
+docker tag "${SOURCE_IMAGE_TAG}" "${TARGET_IMAGE}:${LABEL}"
 gcloud docker -- push "${TARGET_IMAGE}:${LABEL}"
-
-# Only CPU images are made public at this time.
-if [[ "$LABEL" == "latest" && SOURCE_IMAGE = "kaggle/python-build" ]]; then
-  docker tag "${SOURCE_IMAGE}:latest" "kaggle/python:${LABEL}"
-  docker push "kaggle/python:${LABEL}"
-fi

From b47e95c4bef149e5d0b7cccbd1733b34e2694eb9 Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@kaggle.com>
Date: Wed, 22 Apr 2020 16:04:42 -0600
Subject: [PATCH 0945/1660] Add tensorflow-gcs-config to the tensorflow-whl
 build (#784)

Add a copy of tensorflow-gcs-config source and modify tensorflow-whl/Dockerfile to build the tensorflow_gcs_config wheel.

http://b/152051681
---
 tensorflow-whl/CHANGELOG.md                   |   3 +-
 tensorflow-whl/Dockerfile                     |   9 +
 .../tensorflow-gcs-config/.gitignore          |  12 +
 .../tensorflow-gcs-config/Dockerfile          |  62 +++++
 .../tensorflow-gcs-config/MANIFEST.in         |   2 +
 .../tensorflow-gcs-config/README.md           |  10 +
 .../tensorflow-gcs-config/WORKSPACE           |  44 ++++
 tensorflow-whl/tensorflow-gcs-config/build.py |  98 ++++++++
 tensorflow-whl/tensorflow-gcs-config/setup.py |  20 ++
 .../tensorflow_gcs_config/BUILD               |  22 ++
 .../tensorflow_gcs_config/__init__.py         | 132 +++++++++++
 .../gcs_config_op_kernels.cc                  | 218 ++++++++++++++++++
 .../tensorflow_gcs_config/gcs_config_ops.cc   |  66 ++++++
 .../tensorflow-gcs-config/third_party/BUILD   |   0
 .../third_party/jsoncpp.BUILD                 |  37 +++
 .../third_party/tensorflow/BUILD              |   0
 .../third_party/tensorflow/BUILD.tpl          |  18 ++
 .../third_party/tensorflow/tf_configure.bzl   | 210 +++++++++++++++++
 18 files changed, 962 insertions(+), 1 deletion(-)
 create mode 100644 tensorflow-whl/tensorflow-gcs-config/.gitignore
 create mode 100644 tensorflow-whl/tensorflow-gcs-config/Dockerfile
 create mode 100644 tensorflow-whl/tensorflow-gcs-config/MANIFEST.in
 create mode 100644 tensorflow-whl/tensorflow-gcs-config/README.md
 create mode 100644 tensorflow-whl/tensorflow-gcs-config/WORKSPACE
 create mode 100644 tensorflow-whl/tensorflow-gcs-config/build.py
 create mode 100644 tensorflow-whl/tensorflow-gcs-config/setup.py
 create mode 100644 tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/BUILD
 create mode 100644 tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/__init__.py
 create mode 100644 tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/gcs_config_op_kernels.cc
 create mode 100644 tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/gcs_config_ops.cc
 create mode 100644 tensorflow-whl/tensorflow-gcs-config/third_party/BUILD
 create mode 100644 tensorflow-whl/tensorflow-gcs-config/third_party/jsoncpp.BUILD
 create mode 100644 tensorflow-whl/tensorflow-gcs-config/third_party/tensorflow/BUILD
 create mode 100644 tensorflow-whl/tensorflow-gcs-config/third_party/tensorflow/BUILD.tpl
 create mode 100644 tensorflow-whl/tensorflow-gcs-config/third_party/tensorflow/tf_configure.bzl

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index 2f87c08a..39a1d972 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -12,4 +12,5 @@
 * `2.1.0-py36`: TensorFlow 2.1.0 with Python 3.6
 * `2.1.0-py36-2`: TensorFlow 2.1.0 with CUDA 10.1
 * `2.1.0-py37`: TensorFlow 2.1.0 with Python 3.7
-* `2.1.0-py37-2`: TensorFlow 2.1.0 with Python 3.7 & DLVM base image.
\ No newline at end of file
+* `2.1.0-py37-2`: TensorFlow 2.1.0 with Python 3.7 & DLVM base image.
+* `2.1.0-py37-3`: TensorFlow 2.1.0 with Python 3.7, DLVM base image, tensorflow-gcs-config.
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index f0d60770..1cc73450 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -100,5 +100,14 @@ RUN cd /usr/local/src/tensorflow && \
     bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_gpu && \
     bazel clean
 
+ADD tensorflow-gcs-config /usr/local/src/tensorflow_gcs_config/
+
+# Build tensorflow_gcs_config library against the tensorflow_cpu build
+RUN cd /usr/local/src/tensorflow_gcs_config && \
+    apt-get install -y libcurl4-openssl-dev && \
+    pip install /tmp/tensorflow_cpu/tensorflow*.whl && \
+    python setup.py bdist_wheel -d /tmp/tensorflow_gcs_config && \
+    bazel clean
+
 # Print out the built .whl files
 RUN ls -R /tmp/tensorflow*
diff --git a/tensorflow-whl/tensorflow-gcs-config/.gitignore b/tensorflow-whl/tensorflow-gcs-config/.gitignore
new file mode 100644
index 00000000..4e81a34b
--- /dev/null
+++ b/tensorflow-whl/tensorflow-gcs-config/.gitignore
@@ -0,0 +1,12 @@
+bazel-bin
+bazel-genfiles
+bazel-out
+bazel-tensorflow-gcs-config
+bazel-out
+bazel-testlogs
+build
+dist
+__pycache__
+*.egg-info
+*.so
+.bazelrc
diff --git a/tensorflow-whl/tensorflow-gcs-config/Dockerfile b/tensorflow-whl/tensorflow-gcs-config/Dockerfile
new file mode 100644
index 00000000..b2ebce39
--- /dev/null
+++ b/tensorflow-whl/tensorflow-gcs-config/Dockerfile
@@ -0,0 +1,62 @@
+FROM tensorflow/tensorflow:custom-op
+
+ARG TF_VERSION
+ARG UID
+ARG GID
+ARG USERNAME="build"
+ARG CONDA_ADD_PACKAGES=""
+ARG BAZEL_VERSION=0.24.1
+ARG BAZEL_OS=linux
+
+RUN apt-get update && \
+    apt-get install -y \
+    git \
+    curl \
+    nano \
+    unzip \
+    ffmpeg \
+    dnsutils
+
+RUN groupadd -g ${GID} ${USERNAME}
+RUN useradd -d /home/${USERNAME} -ms /bin/bash -g ${USERNAME} -G root -u $UID ${USERNAME}
+USER ${USERNAME}
+
+WORKDIR /home/${USERNAME}
+
+RUN curl -sL https://github.com/bazelbuild/bazel/releases/download/${BAZEL_VERSION}/bazel-${BAZEL_VERSION}-installer-${BAZEL_OS}-x86_64.sh -o bazel-install.sh && \
+    bash -x bazel-install.sh --user && \
+    rm bazel-install.sh
+
+ARG CONDA_OS=Linux
+
+# Miniconda - Python 3.6, 64-bit, x86, latest
+RUN curl -sL https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -o mconda-install.sh && \
+    bash -x mconda-install.sh -b -p miniconda && \
+    rm mconda-install.sh
+
+ENV PATH="/home/${USERNAME}/miniconda/bin:$PATH"
+
+RUN conda create -y -q -n tensorflow-gcs-config python=3.6 ${CONDA_ADD_PACKAGES}
+
+RUN echo ". /miniconda/etc/profile.d/conda.sh" >> ~/.bashrc && \
+    echo "source activate tensorflow-gcs-config" >> ~/.bashrc
+
+ARG PIP_ADD_PACKAGES=""
+
+RUN /bin/bash -c "source activate tensorflow-gcs-config && python -m pip install -U \
+    pytest \
+    pylint \
+    boto3 \
+    twine \
+    google-cloud-pubsub==0.39.1 \
+    pandas \
+    fastavro \
+    'tensorflow>=2' \
+    ${PIP_ADD_PACKAGES} \
+    "
+
+# This just forces a new fetch of the latest TF binary if the version changes.
+RUN /bin/bash -c "echo ${TF_VERSION}"
+RUN /bin/bash -c "source activate tensorflow-gcs-config && python -m pip install -U 'tensorflow>=2'"
+
+RUN bazel help > /dev/null
diff --git a/tensorflow-whl/tensorflow-gcs-config/MANIFEST.in b/tensorflow-whl/tensorflow-gcs-config/MANIFEST.in
new file mode 100644
index 00000000..5318e0fa
--- /dev/null
+++ b/tensorflow-whl/tensorflow-gcs-config/MANIFEST.in
@@ -0,0 +1,2 @@
+include tensorflow_gcs_config/*.py
+include tensorflow_gcs_config/*.so
diff --git a/tensorflow-whl/tensorflow-gcs-config/README.md b/tensorflow-whl/tensorflow-gcs-config/README.md
new file mode 100644
index 00000000..f19d77c9
--- /dev/null
+++ b/tensorflow-whl/tensorflow-gcs-config/README.md
@@ -0,0 +1,10 @@
+# Tensorflow GCS Configuration Ops
+
+This package provides TF 2.X compatible versions of the
+`tf.contrib.cloud.configure_gcs()` operations.
+
+This is a slightly modified and repackaged version of the GCS code in TensorFlow I/O,
+in particular the [tfio.gcs](https://www.tensorflow.org/io/api_docs/python/tfio/gcs) module.
+
+This is a copy of the internal source released as the
+[tensorflow-gcs-config](https://pypi.org/project/tensorflow-gcs-config/) package.
diff --git a/tensorflow-whl/tensorflow-gcs-config/WORKSPACE b/tensorflow-whl/tensorflow-gcs-config/WORKSPACE
new file mode 100644
index 00000000..4ec14723
--- /dev/null
+++ b/tensorflow-whl/tensorflow-gcs-config/WORKSPACE
@@ -0,0 +1,44 @@
+workspace(name = "tensorflow_gcs_config")
+
+load("//third_party/tensorflow:tf_configure.bzl", "tf_configure")
+load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
+
+tf_configure(
+    name = "local_config_tf",
+)
+
+http_archive(
+    name = "com_github_grpc_grpc",
+    sha256 = "1bf082fb3016154d3f806da8eb5876caf05743da4b2e8130fadd000df74b5bb6",
+    strip_prefix = "grpc-1.21.1",
+    urls = [
+        "https://mirror.bazel.build/github.com/grpc/grpc/archive/v1.21.1.tar.gz",
+        "https://github.com/grpc/grpc/archive/v1.21.1.tar.gz",
+    ],
+)
+
+# 3.7.1 with a fix to BUILD file
+http_archive(
+    name = "com_google_protobuf",
+    sha256 = "1c020fafc84acd235ec81c6aac22d73f23e85a700871466052ff231d69c1b17a",
+    strip_prefix = "protobuf-5902e759108d14ee8e6b0b07653dac2f4e70ac73",
+    urls = [
+        "http://mirror.tensorflow.org/github.com/protocolbuffers/protobuf/archive/5902e759108d14ee8e6b0b07653dac2f4e70ac73.tar.gz",
+        "https://github.com/protocolbuffers/protobuf/archive/5902e759108d14ee8e6b0b07653dac2f4e70ac73.tar.gz",
+    ],
+)
+
+load("@com_github_grpc_grpc//bazel:grpc_deps.bzl", "grpc_deps")
+
+grpc_deps()
+
+http_archive(
+    name = "jsoncpp_git",
+    build_file = "//third_party:jsoncpp.BUILD",
+    sha256 = "c49deac9e0933bcb7044f08516861a2d560988540b23de2ac1ad443b219afdb6",
+    strip_prefix = "jsoncpp-1.8.4",
+    urls = [
+        "http://mirror.tensorflow.org/github.com/open-source-parsers/jsoncpp/archive/1.8.4.tar.gz",
+        "https://github.com/open-source-parsers/jsoncpp/archive/1.8.4.tar.gz",
+    ],
+)
diff --git a/tensorflow-whl/tensorflow-gcs-config/build.py b/tensorflow-whl/tensorflow-gcs-config/build.py
new file mode 100644
index 00000000..efe40577
--- /dev/null
+++ b/tensorflow-whl/tensorflow-gcs-config/build.py
@@ -0,0 +1,98 @@
+# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# =============================================================================
+
+from __future__ import print_function
+
+import os
+import re
+import sys
+import tensorflow as tf
+
+def write_config():
+  """Retrive compile and link information from tensorflow and write to .bazelrc."""
+
+  cflags = tf.sysconfig.get_compile_flags()
+
+  inc_regex = re.compile("^-I")
+  opt_regex = re.compile("^-D")
+
+  include_list = []
+  opt_list = []
+
+  for arg in cflags:
+    if inc_regex.match(arg):
+      include_list.append(arg)
+    elif opt_regex.match(arg):
+      opt_list.append(arg)
+    else:
+      print("WARNING: Unexpected cflag item {}".format(arg))
+
+
+  if len(include_list) != 1:
+    print("ERROR: Expected a single include directory in " +
+          "tf.sysconfig.get_compile_flags()")
+    exit(1)
+
+
+  library_regex = re.compile("^-l")
+  libdir_regex = re.compile("^-L")
+
+  library_list = []
+  libdir_list = []
+
+  lib = tf.sysconfig.get_link_flags()
+
+  for arg in lib:
+    if library_regex.match(arg):
+      library_list.append(arg)
+    elif libdir_regex.match(arg):
+      libdir_list.append(arg)
+    else:
+      print("WARNING: Unexpected link flag item {}".format(arg))
+
+  if len(library_list) != 1 or len(libdir_list) != 1:
+    print("ERROR: Expected exactly one lib and one libdir in" +
+          "tf.sysconfig.get_link_flags()")
+    exit(1)
+
+  try:
+
+    with open(".bazelrc", "w") as bazel_rc:
+      for opt in opt_list:
+        bazel_rc.write('build --copt="{}"\n'.format(opt))
+
+      bazel_rc.write('build --action_env TF_HEADER_DIR="{}"\n'
+                     .format(include_list[0][2:]))
+
+      bazel_rc.write('build --action_env TF_SHARED_LIBRARY_DIR="{}"\n'
+                     .format(libdir_list[0][2:]))
+      library_name = library_list[0][2:]
+      if library_name.startswith(":"):
+        library_name = library_name[1:]
+      else:
+        library_name = "lib" + library_name + ".so"
+      bazel_rc.write('build --action_env TF_SHARED_LIBRARY_NAME="{}"\n'
+                     .format(library_name))
+      bazel_rc.close()
+  except OSError:
+    print("ERROR: Writing .bazelrc")
+    exit(1)
+
+
+def compile_bazel():
+  write_config()
+
+  if os.system('rm -f tensorflow_gcs_config/*.so && bazel build -c dbg //tensorflow_gcs_config:_gcs_config_ops.so && cp bazel-bin/tensorflow_gcs_config/_gcs_config_ops.so tensorflow_gcs_config/') != 0:
+    raise Exception('Failed to build C extension.')
diff --git a/tensorflow-whl/tensorflow-gcs-config/setup.py b/tensorflow-whl/tensorflow-gcs-config/setup.py
new file mode 100644
index 00000000..6a2d59cf
--- /dev/null
+++ b/tensorflow-whl/tensorflow-gcs-config/setup.py
@@ -0,0 +1,20 @@
+from setuptools import setup
+
+
+setup_kwargs = {
+}
+
+from build import compile_bazel
+compile_bazel()
+
+setup(
+  name='tensorflow-gcs-config',
+  version='2.1.7',
+  description='TensorFlow operations for configuring access to GCS (Google Compute Storage) resources.',
+  long_description='TensorFlow operations for configuring access to GCS (Google Compute Storage) resources.',
+  author='Google, Inc.',
+  author_email=None,
+  url=None,
+  packages = ['tensorflow_gcs_config'],
+  include_package_data=True,
+)
diff --git a/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/BUILD b/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/BUILD
new file mode 100644
index 00000000..ca6f8efc
--- /dev/null
+++ b/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/BUILD
@@ -0,0 +1,22 @@
+licenses(["notice"])  # Apache 2.0
+
+package(default_visibility = ["//visibility:public"])
+
+cc_binary(
+    name = "_gcs_config_ops.so",
+    srcs = [
+        "gcs_config_op_kernels.cc",
+        "gcs_config_ops.cc",
+    ],
+    copts = [
+        "-pthread",
+        "-std=c++11",
+        "-DNDEBUG",
+    ],
+    linkshared = 1,
+    deps = [
+        "@jsoncpp_git//:jsoncpp",
+        "@local_config_tf//:libtensorflow_framework",
+        "@local_config_tf//:tf_header_lib",
+    ],
+)
diff --git a/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/__init__.py b/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/__init__.py
new file mode 100644
index 00000000..fe12cda4
--- /dev/null
+++ b/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/__init__.py
@@ -0,0 +1,132 @@
+# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ==============================================================================
+"""GCS file system configuration for TensorFlow."""
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+import inspect
+import json
+import os
+import sys
+
+import tensorflow as tf
+from tensorflow import errors
+from tensorflow.python.framework import dtypes
+from tensorflow.python.framework import ops
+from tensorflow.python.ops import array_ops
+from tensorflow.python.training import training
+
+def _load_library(filename, lib="op"):
+  """_load_library"""
+  f = inspect.getfile(sys._getframe(1)) # pylint: disable=protected-access
+
+  # Construct filename
+  f = os.path.join(os.path.dirname(f), filename)
+  filenames = [f]
+
+  # Function to load the library, return True if file system library is loaded
+  load_fn = tf.load_op_library if lib == "op" \
+      else lambda f: tf.compat.v1.load_file_system_library(f) is None
+
+  # Try to load all paths for file, fail if none succeed
+  errs = []
+  for f in filenames:
+    try:
+      l = load_fn(f)
+      if l is not None:
+        return l
+    except errors.NotFoundError as e:
+      errs.append(str(e))
+  raise NotImplementedError(
+      "unable to open file: " +
+      "{}, from paths: {}\ncaused by: {}".format(filename, filenames, errs))
+
+_gcs_config_so = _load_library("_gcs_config_ops.so")
+gcs_configure_credentials = _gcs_config_so.gcs_configure_credentials
+gcs_configure_block_cache = _gcs_config_so.gcs_configure_block_cache
+
+class BlockCacheParams(object):  # pylint: disable=useless-object-inheritance
+  """BlockCacheParams is a struct used for configuring the GCS Block Cache."""
+
+  def __init__(self, block_size=None, max_bytes=None, max_staleness=None):
+    self._block_size = block_size or 128 * 1024 * 1024
+    self._max_bytes = max_bytes or 2 * self._block_size
+    self._max_staleness = max_staleness or 0
+
+  @property
+  def block_size(self):
+    return self._block_size
+
+  @property
+  def max_bytes(self):
+    return self._max_bytes
+
+  @property
+  def max_staleness(self):
+    return self._max_staleness
+
+def configure_gcs(credentials=None, block_cache=None, device=None):
+  """Configures the GCS file system for a given a session.
+
+  Warning: GCS `credentials` may be transmitted over the network unencrypted.
+  Please ensure that the network is trusted before using this function. For
+  users running code entirely within Google Cloud, your data is protected by
+  encryption in between data centers. For more information, please take a look
+  at https://cloud.google.com/security/encryption-in-transit/.
+
+  Args:
+    credentials: [Optional.] A JSON string
+    block_cache: [Optional.] A BlockCacheParams to configure the block cache .
+    device: [Optional.] The device to place the configure ops.
+  """
+  def configure(credentials, block_cache):
+    """Helper function to actually configure GCS."""
+    if credentials:
+      if isinstance(credentials, dict):
+        credentials = json.dumps(credentials)
+      creds = gcs_configure_credentials(credentials)
+    else:
+      creds = tf.constant(0)
+
+    if block_cache:
+      cache = gcs_configure_block_cache(
+          max_cache_size=block_cache.max_bytes,
+          block_size=block_cache.block_size,
+          max_staleness=block_cache.max_staleness)
+    else:
+      cache = tf.constant(0)
+
+    return tf.tuple([creds, cache])
+
+  if device:
+    with ops.device(device):
+      return configure(credentials, block_cache)
+  return configure(credentials, block_cache)
+
+def configure_gcs_from_colab_auth(device='/job:worker/replica:0/task:0/device:CPU:0'):
+  """ConfigureColabSession configures the GCS file system in Colab.
+
+  Args:
+  """
+  # Read from the application default credentials (adc).
+  adc_filename = os.environ.get(
+      'GOOGLE_APPLICATION_CREDENTIALS', '/content/adc.json')
+  with open(adc_filename) as f:
+    data = json.load(f)
+  return configure_gcs(credentials=data, device=device)
+
+
diff --git a/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/gcs_config_op_kernels.cc b/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/gcs_config_op_kernels.cc
new file mode 100644
index 00000000..3e2fc310
--- /dev/null
+++ b/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/gcs_config_op_kernels.cc
@@ -0,0 +1,218 @@
+/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+==============================================================================*/
+
+#include <sstream>
+
+#include "include/json/json.h"
+#include "tensorflow/core/framework/op_kernel.h"
+#include "tensorflow/core/framework/tensor_shape.h"
+#include "tensorflow/core/platform/cloud/curl_http_request.h"
+#include "tensorflow/core/platform/cloud/gcs_file_system.h"
+#include "tensorflow/core/platform/cloud/oauth_client.h"
+#include "tensorflow/core/util/ptr_util.h"
+
+namespace tensorflow {
+namespace {
+
+// The default initial delay between retries with exponential backoff.
+constexpr int kInitialRetryDelayUsec = 500000;  // 0.5 sec
+
+// The minimum time delta between now and the token expiration time
+// for the token to be re-used.
+constexpr int kExpirationTimeMarginSec = 60;
+
+// The URL to retrieve the auth bearer token via OAuth with a refresh token.
+constexpr char kOAuthV3Url[] = "https://www.googleapis.com/oauth2/v3/token";
+
+// The URL to retrieve the auth bearer token via OAuth with a private key.
+constexpr char kOAuthV4Url[] = "https://www.googleapis.com/oauth2/v4/token";
+
+// The authentication token scope to request.
+constexpr char kOAuthScope[] = "https://www.googleapis.com/auth/cloud-platform";
+
+Status RetrieveGcsFs(OpKernelContext* ctx, RetryingGcsFileSystem** fs) {
+  DCHECK(fs != nullptr);
+  *fs = nullptr;
+
+  FileSystem* filesystem = nullptr;
+  TF_RETURN_IF_ERROR(
+      ctx->env()->GetFileSystemForFile("gs://fake/file.text", &filesystem));
+  if (filesystem == nullptr) {
+    return errors::FailedPrecondition("The GCS file system is not registered.");
+  }
+
+  *fs = dynamic_cast<RetryingGcsFileSystem*>(filesystem);
+  if (*fs == nullptr) {
+    return errors::Internal(
+        "The filesystem registered under the 'gs://' scheme was not a "
+        "tensorflow::RetryingGcsFileSystem*.");
+  }
+  return Status::OK();
+}
+
+template <typename T>
+Status ParseScalarArgument(OpKernelContext* ctx, StringPiece argument_name,
+                           T* output) {
+  const Tensor* argument_t;
+  TF_RETURN_IF_ERROR(ctx->input(argument_name, &argument_t));
+  if (!TensorShapeUtils::IsScalar(argument_t->shape())) {
+    return errors::InvalidArgument(argument_name, " must be a scalar");
+  }
+  *output = argument_t->scalar<T>()();
+  return Status::OK();
+}
+
+template <>
+Status ParseScalarArgument(OpKernelContext* ctx, StringPiece argument_name,
+                           std::string* output) {
+  const Tensor* argument_t;
+  TF_RETURN_IF_ERROR(ctx->input(argument_name, &argument_t));
+  if (!TensorShapeUtils::IsScalar(argument_t->shape())) {
+    return errors::InvalidArgument(argument_name, " must be a scalar");
+  }
+  const ::tensorflow::tstring& tstr = argument_t->scalar<::tensorflow::tstring>()();
+  output->assign(tstr.data(), tstr.size());
+  return Status::OK();
+}
+
+// GcsCredentialsOpKernel overrides the credentials used by the gcs_filesystem.
+class GcsCredentialsOpKernel : public OpKernel {
+ public:
+  explicit GcsCredentialsOpKernel(OpKernelConstruction* ctx) : OpKernel(ctx) {}
+  void Compute(OpKernelContext* ctx) override {
+    // Get a handle to the GCS file system.
+    RetryingGcsFileSystem* gcs = nullptr;
+    OP_REQUIRES_OK(ctx, RetrieveGcsFs(ctx, &gcs));
+
+    std::string json_string;
+    OP_REQUIRES_OK(ctx, ParseScalarArgument<std::string>(ctx, "json", &json_string));
+
+    Json::Value json;
+    Json::Reader reader;
+    std::stringstream json_stream(json_string);
+    OP_REQUIRES(ctx, reader.parse(json_stream, json),
+                errors::InvalidArgument("Could not parse json: ", json_string));
+
+    OP_REQUIRES(
+        ctx, json.isMember("refresh_token") || json.isMember("private_key"),
+        errors::InvalidArgument("JSON format incompatible; did not find fields "
+                                "`refresh_token` or `private_key`."));
+
+    auto provider =
+        tensorflow::MakeUnique<ConstantAuthProvider>(json, ctx->env());
+
+    // Test getting a token
+    string dummy_token;
+    OP_REQUIRES_OK(ctx, provider->GetToken(&dummy_token));
+    OP_REQUIRES(ctx, !dummy_token.empty(),
+                errors::InvalidArgument(
+                    "Could not retrieve a token with the given credentials."));
+
+    // Set the provider.
+    gcs->underlying()->SetAuthProvider(std::move(provider));
+  }
+
+ private:
+  class ConstantAuthProvider : public AuthProvider {
+   public:
+    ConstantAuthProvider(const Json::Value& json,
+                         std::unique_ptr<OAuthClient> oauth_client, Env* env,
+                         int64 initial_retry_delay_usec)
+        : json_(json),
+          oauth_client_(std::move(oauth_client)),
+          env_(env),
+          initial_retry_delay_usec_(initial_retry_delay_usec) {}
+
+    ConstantAuthProvider(const Json::Value& json, Env* env)
+        : ConstantAuthProvider(json, tensorflow::MakeUnique<OAuthClient>(), env,
+                               kInitialRetryDelayUsec) {}
+
+    ~ConstantAuthProvider() override {}
+
+    Status GetToken(string* token) override {
+      mutex_lock l(mu_);
+      const uint64 now_sec = env_->NowSeconds();
+
+      if (!current_token_.empty() &&
+          now_sec + kExpirationTimeMarginSec < expiration_timestamp_sec_) {
+        *token = current_token_;
+        return Status::OK();
+      }
+      if (json_.isMember("refresh_token")) {
+        TF_RETURN_IF_ERROR(oauth_client_->GetTokenFromRefreshTokenJson(
+            json_, kOAuthV3Url, &current_token_, &expiration_timestamp_sec_));
+      } else if (json_.isMember("private_key")) {
+        TF_RETURN_IF_ERROR(oauth_client_->GetTokenFromServiceAccountJson(
+            json_, kOAuthV4Url, kOAuthScope, &current_token_,
+            &expiration_timestamp_sec_));
+      } else {
+        return errors::FailedPrecondition(
+            "Unexpected content of the JSON credentials file.");
+      }
+
+      *token = current_token_;
+      return Status::OK();
+    }
+
+   private:
+    Json::Value json_;
+    std::unique_ptr<OAuthClient> oauth_client_;
+    Env* env_;
+
+    mutex mu_;
+    string current_token_ GUARDED_BY(mu_);
+    uint64 expiration_timestamp_sec_ GUARDED_BY(mu_) = 0;
+
+    // The initial delay for exponential backoffs when retrying failed calls.
+    const int64 initial_retry_delay_usec_;
+    TF_DISALLOW_COPY_AND_ASSIGN(ConstantAuthProvider);
+  };
+};
+
+REGISTER_KERNEL_BUILDER(Name("GcsConfigureCredentials").Device(DEVICE_CPU),
+                        GcsCredentialsOpKernel);
+
+class GcsBlockCacheOpKernel : public OpKernel {
+ public:
+  explicit GcsBlockCacheOpKernel(OpKernelConstruction* ctx) : OpKernel(ctx) {}
+  void Compute(OpKernelContext* ctx) override {
+    // Get a handle to the GCS file system.
+    RetryingGcsFileSystem* gcs = nullptr;
+    OP_REQUIRES_OK(ctx, RetrieveGcsFs(ctx, &gcs));
+
+    size_t max_cache_size, block_size, max_staleness;
+    OP_REQUIRES_OK(ctx, ParseScalarArgument<size_t>(ctx, "max_cache_size",
+                                                    &max_cache_size));
+    OP_REQUIRES_OK(ctx,
+                   ParseScalarArgument<size_t>(ctx, "block_size", &block_size));
+    OP_REQUIRES_OK(
+        ctx, ParseScalarArgument<size_t>(ctx, "max_staleness", &max_staleness));
+
+    if (gcs->underlying()->block_size() == block_size &&
+        gcs->underlying()->max_bytes() == max_cache_size &&
+        gcs->underlying()->max_staleness() == max_staleness) {
+      LOG(INFO) << "Skipping resetting the GCS block cache.";
+      return;
+    }
+    gcs->underlying()->ResetFileBlockCache(block_size, max_cache_size,
+                                           max_staleness);
+  }
+};
+
+REGISTER_KERNEL_BUILDER(Name("GcsConfigureBlockCache").Device(DEVICE_CPU),
+                        GcsBlockCacheOpKernel);
+
+}  // namespace
+}  // namespace tensorflow
diff --git a/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/gcs_config_ops.cc b/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/gcs_config_ops.cc
new file mode 100644
index 00000000..3c4a5570
--- /dev/null
+++ b/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/gcs_config_ops.cc
@@ -0,0 +1,66 @@
+/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+==============================================================================*/
+
+#include "tensorflow/core/framework/common_shape_fns.h"
+#include "tensorflow/core/framework/op.h"
+#include "tensorflow/core/framework/shape_inference.h"
+
+namespace tensorflow {
+
+using shape_inference::InferenceContext;
+
+REGISTER_OP("GcsConfigureCredentials")
+    .Input("json: string")
+    .SetShapeFn(shape_inference::NoOutputs)
+    .Doc(R"doc(
+Configures the credentials used by the GCS client of the local TF runtime.
+The json input can be of the format:
+1. Refresh Token:
+{
+  "client_id": "<redacted>",
+  "client_secret": "<redacted>",
+  "refresh_token: "<redacted>",
+  "type": "authorized_user",
+}
+2. Service Account:
+{
+  "type": "service_account",
+  "project_id": "<redacted>",
+  "private_key_id": "<redacted>",
+  "private_key": "------BEGIN PRIVATE KEY-----\n<REDACTED>\n-----END PRIVATE KEY------\n",
+  "client_email": "<REDACTED>@<REDACTED>.iam.gserviceaccount.com",
+  "client_id": "<REDACTED>",
+  # Some additional fields elided
+}
+Note the credentials established through this method are shared across all
+sessions run on this runtime.
+Note be sure to feed the inputs to this op to ensure the credentials are not
+stored in a constant op within the graph that might accidentally be checkpointed
+or in other ways be persisted or exfiltrated.
+)doc");
+
+REGISTER_OP("GcsConfigureBlockCache")
+    .Input("max_cache_size: uint64")
+    .Input("block_size: uint64")
+    .Input("max_staleness: uint64")
+    .SetShapeFn(shape_inference::NoOutputs)
+    .Doc(R"doc(
+Re-configures the GCS block cache with the new configuration values.
+If the values are the same as already configured values, this op is a no-op. If
+they are different, the current contents of the block cache is dropped, and a
+new block cache is created fresh.
+)doc");
+
+}  // namespace tensorflow
diff --git a/tensorflow-whl/tensorflow-gcs-config/third_party/BUILD b/tensorflow-whl/tensorflow-gcs-config/third_party/BUILD
new file mode 100644
index 00000000..e69de29b
diff --git a/tensorflow-whl/tensorflow-gcs-config/third_party/jsoncpp.BUILD b/tensorflow-whl/tensorflow-gcs-config/third_party/jsoncpp.BUILD
new file mode 100644
index 00000000..cf3cba05
--- /dev/null
+++ b/tensorflow-whl/tensorflow-gcs-config/third_party/jsoncpp.BUILD
@@ -0,0 +1,37 @@
+licenses(["unencumbered"])  # Public Domain or MIT
+
+exports_files(["LICENSE"])
+
+cc_library(
+    name = "jsoncpp",
+    srcs = [
+        "include/json/assertions.h",
+        "src/lib_json/json_reader.cpp",
+        "src/lib_json/json_tool.h",
+        "src/lib_json/json_value.cpp",
+        "src/lib_json/json_writer.cpp",
+    ],
+    hdrs = [
+        "include/json/autolink.h",
+        "include/json/config.h",
+        "include/json/features.h",
+        "include/json/forwards.h",
+        "include/json/json.h",
+        "include/json/reader.h",
+        "include/json/value.h",
+        "include/json/version.h",
+        "include/json/writer.h",
+    ],
+    copts = [
+        "-DJSON_USE_EXCEPTION=0",
+        "-DJSON_HAS_INT64",
+    ],
+    includes = ["include"],
+    visibility = ["//visibility:public"],
+    deps = [":private"],
+)
+
+cc_library(
+    name = "private",
+    textual_hdrs = ["src/lib_json/json_valueiterator.inl"],
+)
diff --git a/tensorflow-whl/tensorflow-gcs-config/third_party/tensorflow/BUILD b/tensorflow-whl/tensorflow-gcs-config/third_party/tensorflow/BUILD
new file mode 100644
index 00000000..e69de29b
diff --git a/tensorflow-whl/tensorflow-gcs-config/third_party/tensorflow/BUILD.tpl b/tensorflow-whl/tensorflow-gcs-config/third_party/tensorflow/BUILD.tpl
new file mode 100644
index 00000000..3c78b1f2
--- /dev/null
+++ b/tensorflow-whl/tensorflow-gcs-config/third_party/tensorflow/BUILD.tpl
@@ -0,0 +1,18 @@
+package(default_visibility = ["//visibility:public"])
+
+cc_library(
+    name = "tf_header_lib",
+    hdrs = [":tf_header_include"],
+    includes = ["include"],
+    visibility = ["//visibility:public"],
+)
+
+cc_library(
+    name = "libtensorflow_framework",
+    srcs = [":libtensorflow_framework.so"],
+    #data = ["lib/libtensorflow_framework.so"],
+    visibility = ["//visibility:public"],
+)
+
+%{TF_HEADER_GENRULE}
+%{TF_SHARED_LIBRARY_GENRULE}
diff --git a/tensorflow-whl/tensorflow-gcs-config/third_party/tensorflow/tf_configure.bzl b/tensorflow-whl/tensorflow-gcs-config/third_party/tensorflow/tf_configure.bzl
new file mode 100644
index 00000000..49d82684
--- /dev/null
+++ b/tensorflow-whl/tensorflow-gcs-config/third_party/tensorflow/tf_configure.bzl
@@ -0,0 +1,210 @@
+"""Setup TensorFlow as external dependency"""
+
+_TF_HEADER_DIR = "TF_HEADER_DIR"
+_TF_SHARED_LIBRARY_DIR = "TF_SHARED_LIBRARY_DIR"
+_TF_SHARED_LIBRARY_NAME = "TF_SHARED_LIBRARY_NAME"
+
+def _tpl(repository_ctx, tpl, substitutions = {}, out = None):
+    if not out:
+        out = tpl
+    repository_ctx.template(
+        out,
+        Label("//third_party/tensorflow:%s.tpl" % tpl),
+        substitutions,
+    )
+
+def _fail(msg):
+    """Output failure message when auto configuration fails."""
+    red = "\033[0;31m"
+    no_color = "\033[0m"
+    fail("%sPython Configuration Error:%s %s\n" % (red, no_color, msg))
+
+def _is_windows(repository_ctx):
+    """Returns true if the host operating system is windows."""
+    os_name = repository_ctx.os.name.lower()
+    if os_name.find("windows") != -1:
+        return True
+    return False
+
+def _execute(
+        repository_ctx,
+        cmdline,
+        error_msg = None,
+        error_details = None,
+        empty_stdout_fine = False):
+    """Executes an arbitrary shell command.
+
+    Helper for executes an arbitrary shell command.
+
+    Args:
+      repository_ctx: the repository_ctx object.
+      cmdline: list of strings, the command to execute.
+      error_msg: string, a summary of the error if the command fails.
+      error_details: string, details about the error or steps to fix it.
+      empty_stdout_fine: bool, if True, an empty stdout result is fine, otherwise
+        it's an error.
+
+    Returns:
+      The result of repository_ctx.execute(cmdline).
+    """
+    result = repository_ctx.execute(cmdline)
+    if result.stderr or not (empty_stdout_fine or result.stdout):
+        _fail("\n".join([
+            error_msg.strip() if error_msg else "Repository command failed",
+            result.stderr.strip(),
+            error_details if error_details else "",
+        ]))
+    return result
+
+def _read_dir(repository_ctx, src_dir):
+    """Returns a string with all files in a directory.
+
+    Finds all files inside a directory, traversing subfolders and following
+    symlinks. The returned string contains the full path of all files
+    separated by line breaks.
+
+    Args:
+        repository_ctx: the repository_ctx object.
+        src_dir: directory to find files from.
+
+    Returns:
+        A string of all files inside the given dir.
+    """
+    if _is_windows(repository_ctx):
+        src_dir = src_dir.replace("/", "\\")
+        find_result = _execute(
+            repository_ctx,
+            ["cmd.exe", "/c", "dir", src_dir, "/b", "/s", "/a-d"],
+            empty_stdout_fine = True,
+        )
+
+        # src_files will be used in genrule.outs where the paths must
+        # use forward slashes.
+        result = find_result.stdout.replace("\\", "/")
+    else:
+        find_result = _execute(
+            repository_ctx,
+            ["find", src_dir, "-follow", "-type", "f"],
+            empty_stdout_fine = True,
+        )
+        result = find_result.stdout
+    return result
+
+def _genrule(genrule_name, command, outs):
+    """Returns a string with a genrule.
+
+    Genrule executes the given command and produces the given outputs.
+
+    Args:
+        genrule_name: A unique name for genrule target.
+        command: The command to run.
+        outs: A list of files generated by this rule.
+
+    Returns:
+        A genrule target.
+    """
+    return (
+        "genrule(\n" +
+        '    name = "' +
+        genrule_name + '",\n' +
+        "    outs = [\n" +
+        outs +
+        "\n    ],\n" +
+        '    cmd = """\n' +
+        command +
+        '\n   """,\n' +
+        ")\n"
+    )
+
+def _norm_path(path):
+    """Returns a path with '/' and remove the trailing slash."""
+    path = path.replace("\\", "/")
+    if path[-1] == "/":
+        path = path[:-1]
+    return path
+
+def _symlink_genrule_for_dir(
+        repository_ctx,
+        src_dir,
+        dest_dir,
+        genrule_name,
+        src_files = [],
+        dest_files = []):
+    """Returns a genrule to symlink(or copy if on Windows) a set of files.
+
+    If src_dir is passed, files will be read from the given directory; otherwise
+    we assume files are in src_files and dest_files.
+
+    Args:
+        repository_ctx: the repository_ctx object.
+        src_dir: source directory.
+        dest_dir: directory to create symlink in.
+        genrule_name: genrule name.
+        src_files: list of source files instead of src_dir.
+        dest_files: list of corresonding destination files.
+
+    Returns:
+        genrule target that creates the symlinks.
+    """
+    if src_dir != None:
+        src_dir = _norm_path(src_dir)
+        dest_dir = _norm_path(dest_dir)
+        files = "\n".join(sorted(_read_dir(repository_ctx, src_dir).splitlines()))
+
+        # Create a list with the src_dir stripped to use for outputs.
+        dest_files = files.replace(src_dir, "").splitlines()
+        src_files = files.splitlines()
+    command = []
+    outs = []
+    for i in range(len(dest_files)):
+        if dest_files[i] != "":
+            # If we have only one file to link we do not want to use the dest_dir, as
+            # $(@D) will include the full path to the file.
+            dest = "$(@D)/" + dest_dir + dest_files[i] if len(dest_files) != 1 else "$(@D)/" + dest_files[i]
+
+            # Copy the headers to create a sandboxable setup.
+            cmd = "cp -f"
+            command.append(cmd + ' "%s" "%s"' % (src_files[i], dest))
+            outs.append('        "' + dest_dir + dest_files[i] + '",')
+    genrule = _genrule(
+        genrule_name,
+        " && ".join(command),
+        "\n".join(outs),
+    )
+    return genrule
+
+def _tf_pip_impl(repository_ctx):
+    tf_header_dir = repository_ctx.os.environ[_TF_HEADER_DIR]
+    tf_header_rule = _symlink_genrule_for_dir(
+        repository_ctx,
+        tf_header_dir,
+        "include",
+        "tf_header_include",
+    )
+
+    tf_shared_library_dir = repository_ctx.os.environ[_TF_SHARED_LIBRARY_DIR]
+    tf_shared_library_name = repository_ctx.os.environ[_TF_SHARED_LIBRARY_NAME]
+    tf_shared_library_path = "%s/%s" % (tf_shared_library_dir, tf_shared_library_name)
+
+    tf_shared_library_rule = _symlink_genrule_for_dir(
+        repository_ctx,
+        None,
+        "",
+        "libtensorflow_framework.so",
+        [tf_shared_library_path],
+        ["libtensorflow_framework.so"],
+    )
+
+    _tpl(repository_ctx, "BUILD", {
+        "%{TF_HEADER_GENRULE}": tf_header_rule,
+        "%{TF_SHARED_LIBRARY_GENRULE}": tf_shared_library_rule,
+    })
+
+tf_configure = repository_rule(
+    implementation = _tf_pip_impl,
+    environ = [
+        _TF_HEADER_DIR,
+        _TF_SHARED_LIBRARY_DIR,
+        _TF_SHARED_LIBRARY_NAME,
+    ],
+)

From 1423d613c4816c7d7fdff5f312defbbc6fb23bc1 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 24 Apr 2020 00:20:48 +0000
Subject: [PATCH 0946/1660] Split pycuda test into its own file

---
 tests/test_nvidia.py | 10 ----------
 tests/test_pycuda.py | 14 ++++++++++++++
 2 files changed, 14 insertions(+), 10 deletions(-)
 create mode 100644 tests/test_pycuda.py

diff --git a/tests/test_nvidia.py b/tests/test_nvidia.py
index b5ad61ce..e4ee8be1 100644
--- a/tests/test_nvidia.py
+++ b/tests/test_nvidia.py
@@ -1,8 +1,6 @@
 """Tests for general GPU support"""
 
-import os
 import subprocess
-import sys
 import unittest
 
 from common import gpu_test
@@ -14,11 +12,3 @@ def test_system_management_interface(self):
         smi = subprocess.Popen(['nvidia-smi'], stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
         smi.communicate()
         self.assertEqual(0, smi.returncode)
-
-    @gpu_test
-    def test_pycuda(self):   
-        import pycuda.driver    
-        pycuda.driver.init()
-        gpu_name = pycuda.driver.Device(0).name() 
-        self.assertNotEqual(0, len(gpu_name))
-
diff --git a/tests/test_pycuda.py b/tests/test_pycuda.py
new file mode 100644
index 00000000..15647c31
--- /dev/null
+++ b/tests/test_pycuda.py
@@ -0,0 +1,14 @@
+"""Tests for general GPU support"""
+
+import unittest
+
+from common import gpu_test
+
+
+class TestPycuda(unittest.TestCase):
+    @gpu_test
+    def test_pycuda(self):   
+        import pycuda.driver    
+        pycuda.driver.init()
+        gpu_name = pycuda.driver.Device(0).name() 
+        self.assertNotEqual(0, len(gpu_name))

From 13e9bc2635b5ba1acab32d5ae7e6624f2750fac1 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 24 Apr 2020 18:26:43 +0000
Subject: [PATCH 0947/1660] Add timeout for build/test steps to avoid holding
 up workers

---
 Jenkinsfile | 12 ++++++++++++
 1 file changed, 12 insertions(+)

diff --git a/Jenkinsfile b/Jenkinsfile
index d6acd0be..04cee7f2 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -21,6 +21,9 @@ pipeline {
 
   stages {
     stage('Docker CPU Build') {
+      options {
+        timeout(time: 90, unit: 'MINUTES')
+      }
       steps {
         sh '''#!/bin/bash
           set -exo pipefail
@@ -32,6 +35,9 @@ pipeline {
     }
 
     stage('Test CPU Image') {
+      options {
+        timeout(time: 5, unit: 'MINUTES')
+      }
       steps {
         sh '''#!/bin/bash
           set -exo pipefail
@@ -62,6 +68,9 @@ pipeline {
       // TODO(rosbo) don't set `nvidia` as the default runtime and use the
       // `--runtime=nvidia` flag for the `docker run` command when GPU support is needed.
       agent { label 'ephemeral-linux-gpu' }
+      options {
+        timeout(time: 45, unit: 'MINUTES')
+      }
       steps {
         sh '''#!/bin/bash
           set -exo pipefail
@@ -80,6 +89,9 @@ pipeline {
 
     stage('Test GPU Image') {
       agent { label 'ephemeral-linux-gpu' }
+      options {
+        timeout(time: 20, unit: 'MINUTES')
+      }
       steps {
         sh '''#!/bin/bash
           set -exo pipefail

From 79afd12531abf511e5efa372eb5fde7b9c0ed1a8 Mon Sep 17 00:00:00 2001
From: William Cukierski <wcukierski@google.com>
Date: Mon, 27 Apr 2020 15:26:19 +0000
Subject: [PATCH 0948/1660] Adding ffmpeg

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 75bedbea..0d101a7e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -361,6 +361,7 @@ RUN pip install bcolz && \
     pip install allennlp && \
     # b/149359379 remove once allennlp 1.0 is released which won't cause a spacy downgrade.
     pip install spacy==2.2.3 && python -m spacy download en && python -m spacy download en_core_web_lg && \
+    apt-get install -y ffmpeg && \ 
     /tmp/clean-layer.sh
 
     ###########

From acfe293954512607f8a1adf4e287361eb65e9c4c Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@kaggle.com>
Date: Mon, 27 Apr 2020 15:05:30 -0600
Subject: [PATCH 0949/1660] Install tensorflow-gcs-config from the
 python-tensorflow-whl (#788)

Update the version of python-tensorflow-whl and install tensorflow-gcs-config from the wheel

http://b/152051681
---
 Dockerfile            | 8 +++++++-
 tests/test_imports.py | 1 +
 2 files changed, 8 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 75bedbea..b9995de9 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=latest
 ARG TENSORFLOW_VERSION=2.1.0
 
-FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37-2 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37-3 as tensorflow_whl
 FROM gcr.io/deeplearning-platform-release/base-cpu:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
@@ -59,6 +59,12 @@ RUN pip install /tmp/tensorflow_cpu/tensorflow*.whl && \
     rm -rf /tmp/tensorflow_cpu && \
     /tmp/clean-layer.sh
 
+# Install tensorflow-gcs-config from a pre-built wheel
+COPY --from=tensorflow_whl /tmp/tensorflow_gcs_config/*.whl /tmp/tensorflow_gcs_config/
+RUN pip install /tmp/tensorflow_gcs_config/tensorflow*.whl && \
+    rm -rf /tmp/tensorflow_gcs_config && \
+    /tmp/clean-layer.sh
+
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
     pip install gensim && \
diff --git a/tests/test_imports.py b/tests/test_imports.py
index e099063c..783a74cc 100644
--- a/tests/test_imports.py
+++ b/tests/test_imports.py
@@ -5,3 +5,4 @@ class TestImport(unittest.TestCase):
     def test_basic(self):
         import bq_helper
         import cleverhans
+        import tensorflow_gcs_config

From 354a4ebe459341829783cc854d0c8284c8b6ad0f Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@kaggle.com>
Date: Mon, 27 Apr 2020 17:09:41 -0600
Subject: [PATCH 0950/1660] Revert "Install tensorflow-gcs-config from the
 python-tensorflow-whl (#788)"

This reverts commit acfe293954512607f8a1adf4e287361eb65e9c4c.
---
 Dockerfile            | 8 +-------
 tests/test_imports.py | 1 -
 2 files changed, 1 insertion(+), 8 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index b9995de9..75bedbea 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=latest
 ARG TENSORFLOW_VERSION=2.1.0
 
-FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37-3 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37-2 as tensorflow_whl
 FROM gcr.io/deeplearning-platform-release/base-cpu:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
@@ -59,12 +59,6 @@ RUN pip install /tmp/tensorflow_cpu/tensorflow*.whl && \
     rm -rf /tmp/tensorflow_cpu && \
     /tmp/clean-layer.sh
 
-# Install tensorflow-gcs-config from a pre-built wheel
-COPY --from=tensorflow_whl /tmp/tensorflow_gcs_config/*.whl /tmp/tensorflow_gcs_config/
-RUN pip install /tmp/tensorflow_gcs_config/tensorflow*.whl && \
-    rm -rf /tmp/tensorflow_gcs_config && \
-    /tmp/clean-layer.sh
-
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
     pip install gensim && \
diff --git a/tests/test_imports.py b/tests/test_imports.py
index 783a74cc..e099063c 100644
--- a/tests/test_imports.py
+++ b/tests/test_imports.py
@@ -5,4 +5,3 @@ class TestImport(unittest.TestCase):
     def test_basic(self):
         import bq_helper
         import cleverhans
-        import tensorflow_gcs_config

From 772fd97b262f2fc08bc42063c586cc33f8c18108 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 30 Apr 2020 16:09:45 +0000
Subject: [PATCH 0951/1660] Add cupy tests

---
 tests/test_cupy.py | 23 +++++++++++++++++++++++
 1 file changed, 23 insertions(+)
 create mode 100644 tests/test_cupy.py

diff --git a/tests/test_cupy.py b/tests/test_cupy.py
new file mode 100644
index 00000000..4ea9238e
--- /dev/null
+++ b/tests/test_cupy.py
@@ -0,0 +1,23 @@
+import unittest
+
+import cupy as cp
+
+from common import gpu_test
+
+
+class TestCupy(unittest.TestCase):
+    @gpu_test
+    def test_kernel(self):
+        x = cp.arange(6, dtype='f').reshape(2, 3)
+        y = cp.arange(3, dtype='f')
+        kernel = cp.ElementwiseKernel(
+            'float32 x, float32 y', 'float32 z',
+            '''if (x - 2 > y) {
+                z = x * y;
+            } else {
+                z = x + y;
+            }''',
+            'my_kernel')
+        r = kernel(x, y)
+        
+        self.assertEqual((2, 3), r.shape)
\ No newline at end of file

From ee510945f7808a043840a87fdcb077f1e00ea49d Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 30 Apr 2020 21:19:01 +0000
Subject: [PATCH 0952/1660] Import cupy inside GPU gated test.

Prevent failure for the test suite on
CPU image since cupy isn't available
on it.
---
 tests/test_cupy.py | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/tests/test_cupy.py b/tests/test_cupy.py
index 4ea9238e..ce0b16ee 100644
--- a/tests/test_cupy.py
+++ b/tests/test_cupy.py
@@ -1,13 +1,12 @@
 import unittest
 
-import cupy as cp
-
 from common import gpu_test
 
 
 class TestCupy(unittest.TestCase):
     @gpu_test
     def test_kernel(self):
+        import cupy as cp
         x = cp.arange(6, dtype='f').reshape(2, 3)
         y = cp.arange(3, dtype='f')
         kernel = cp.ElementwiseKernel(

From 3db0381ae555069a53f2b12d1371b9d760754c70 Mon Sep 17 00:00:00 2001
From: Edgar Riba <edgar.riba@gmail.com>
Date: Fri, 1 May 2020 19:54:21 +0200
Subject: [PATCH 0953/1660] add kornia to dockerfile

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 75bedbea..c1e4d59d 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -328,6 +328,7 @@ RUN pip install bcolz && \
     pip install notebook==5.5.0 && \
     pip install olefile && \
     pip install opencv-python && \
+    pip install kornia && \
     pip install pandas_summary && \
     pip install pandocfilters && \
     pip install pexpect && \

From d72f6c0d989c3f40d460b1ce5d45b7ebf27ec295 Mon Sep 17 00:00:00 2001
From: Edgar Riba <edgar.riba@gmail.com>
Date: Fri, 1 May 2020 19:55:03 +0200
Subject: [PATCH 0954/1660] create tests for kornia

---
 tests/test_kornia.py | 19 +++++++++++++++++++
 1 file changed, 19 insertions(+)
 create mode 100644 tests/test_kornia.py

diff --git a/tests/test_kornia.py b/tests/test_kornia.py
new file mode 100644
index 00000000..b76b0f74
--- /dev/null
+++ b/tests/test_kornia.py
@@ -0,0 +1,19 @@
+import unittest
+
+import cv2
+import torch
+import kornia
+
+class TestOpenCV(unittest.TestCase):
+    def test_imread_opencv(self):
+        img = cv2.imread('/input/tests/data/dot.png')
+        img_t = kornia.image_to_tensor(img)
+
+        self.assertEqual(img.shape, (1, 1, 3))
+        self.assertEqual(img_t.shape, (3, 1, 1))
+
+    def test_grayscale_torch(self):
+        img_rgb = torch.rand(2, 3, 4, 5)
+        img_gray = kornia.rgb_to_grayscale(img_rgb)
+
+        self.assertEqual(img_gray.shape, (2, 1, 4, 5))

From 81bb5a546d053dbb273503e31171da964d8f2fac Mon Sep 17 00:00:00 2001
From: Edgar Riba <edgar.riba@gmail.com>
Date: Fri, 1 May 2020 19:55:54 +0200
Subject: [PATCH 0955/1660] update kornia test name

---
 tests/test_kornia.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/test_kornia.py b/tests/test_kornia.py
index b76b0f74..dcbbf3cc 100644
--- a/tests/test_kornia.py
+++ b/tests/test_kornia.py
@@ -4,7 +4,7 @@
 import torch
 import kornia
 
-class TestOpenCV(unittest.TestCase):
+class TestKornia(unittest.TestCase):
     def test_imread_opencv(self):
         img = cv2.imread('/input/tests/data/dot.png')
         img_t = kornia.image_to_tensor(img)

From 77ab46499206a1c965ea2a259a5c3616864c4541 Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@google.com>
Date: Thu, 30 Apr 2020 12:38:34 -0600
Subject: [PATCH 0956/1660] Add GLIBCXX_USE_CXX11_ABI=0 compiler define to
 TensorFlow CPU build to match GPU build

---
 tensorflow-whl/Dockerfile | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 1cc73450..c53c5759 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -73,7 +73,10 @@ RUN cd /usr/local/src && \
 # Create a tensorflow wheel for CPU
 RUN cd /usr/local/src/tensorflow && \
     cat /dev/null | ./configure && \
-    bazel build --config=opt --config=v2 //tensorflow/tools/pip_package:build_pip_package && \
+    bazel build --config=opt \
+                --config=v2 \
+                --cxxopt="-D_GLIBCXX_USE_CXX11_ABI=0" \
+                //tensorflow/tools/pip_package:build_pip_package && \
     bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_cpu && \
     bazel clean
 

From 87a72dd78e3e2aadab82e058d00459eec9f02803 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 5 May 2020 16:53:37 +0000
Subject: [PATCH 0957/1660] Use new pysal package import after 2.0 upgrade

---
 tests/test_pysal.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/test_pysal.py b/tests/test_pysal.py
index 52512447..7fe2ecab 100644
--- a/tests/test_pysal.py
+++ b/tests/test_pysal.py
@@ -1,6 +1,6 @@
 import unittest
 
-from pysal.weights import lat2W
+from pysal.lib.weights import lat2W
 
 class TestPysal(unittest.TestCase):
     def test_distance_band(self):

From 1e137d95c1f53aa3fd388c729954f7bf46ca739d Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@kaggle.com>
Date: Fri, 1 May 2020 11:33:56 -0600
Subject: [PATCH 0958/1660] Revert "Revert "Install tensorflow-gcs-config from
 the python-tensorflow-whl (#788)""

This reverts commit 354a4ebe459341829783cc854d0c8284c8b6ad0f.
---
 Dockerfile            | 8 +++++++-
 tests/test_imports.py | 1 +
 2 files changed, 8 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index c1e4d59d..76814fcf 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=latest
 ARG TENSORFLOW_VERSION=2.1.0
 
-FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37-2 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37-3 as tensorflow_whl
 FROM gcr.io/deeplearning-platform-release/base-cpu:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
@@ -59,6 +59,12 @@ RUN pip install /tmp/tensorflow_cpu/tensorflow*.whl && \
     rm -rf /tmp/tensorflow_cpu && \
     /tmp/clean-layer.sh
 
+# Install tensorflow-gcs-config from a pre-built wheel
+COPY --from=tensorflow_whl /tmp/tensorflow_gcs_config/*.whl /tmp/tensorflow_gcs_config/
+RUN pip install /tmp/tensorflow_gcs_config/tensorflow*.whl && \
+    rm -rf /tmp/tensorflow_gcs_config && \
+    /tmp/clean-layer.sh
+
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
     pip install gensim && \
diff --git a/tests/test_imports.py b/tests/test_imports.py
index e099063c..783a74cc 100644
--- a/tests/test_imports.py
+++ b/tests/test_imports.py
@@ -5,3 +5,4 @@ class TestImport(unittest.TestCase):
     def test_basic(self):
         import bq_helper
         import cleverhans
+        import tensorflow_gcs_config

From 03afa5d282a504bd1c4a6edb302c7b9005cdb9b7 Mon Sep 17 00:00:00 2001
From: Shotaro Ishihara <shotaro.ishihara@nex.nikkei.com>
Date: Tue, 12 May 2020 00:51:29 +0900
Subject: [PATCH 0959/1660] fix guide url (#799)

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index a06cd45c..44be6c06 100644
--- a/README.md
+++ b/README.md
@@ -13,7 +13,7 @@ Note: The base image for the GPU image is our CPU-only image. The [gpu.Dockerfil
 
 ## Getting started
 
-To get started with this image, read our [guide](http://blog.kaggle.com/2016/02/05/how-to-get-started-with-data-science-in-containers/) to using it yourself, or browse [Kaggle Notebooks](https://www.kaggle.com/notebooks) for ideas.
+To get started with this image, read our [guide](https://medium.com/@kaggleteam/how-to-get-started-with-data-science-in-containers-6ed48cb08266) to using it yourself, or browse [Kaggle Notebooks](https://www.kaggle.com/notebooks) for ideas.
 
 ## Requesting new packages
 

From 35b4f77dd1da9b42f520662aa09da97d1bfbe9f4 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 11 May 2020 16:41:08 +0000
Subject: [PATCH 0960/1660] Disable nb_conda & nbpresent jupyter extensions

---
 Dockerfile | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 76814fcf..07095788 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -488,6 +488,12 @@ ADD patches/imagemagick-policy.xml /etc/ImageMagick-6/policy.xml
 #     jupyter tensorboard enable
 # ADD patches/tensorboard/notebook.py /opt/conda/lib/python3.7/site-packages/tensorboard/notebook.py
 
+# Disable unnecessary jupyter extensions
+RUN jupyter-nbextension disable nb_conda --py --sys-prefix && \
+    jupyter-serverextension disable nb_conda --py --sys-prefix && \
+    jupyter-nbextension disable nbpresent --py --sys-prefix && \
+    jupyter-serverextension disable nbpresent --py --sys-prefix
+
 # Set backend for matplotlib
 ENV MPLBACKEND "agg"
 

From ccc7e16f65a5faecf2b5bf539daabdda1d785479 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 11 May 2020 17:45:59 +0000
Subject: [PATCH 0961/1660] Fix nvidia-smi in notebook environment.

See context in bug (includes internal links).

BUG=155202022
---
 gpu.Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index a4f46335..ecd88c78 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -22,7 +22,7 @@ ENV CUDA_VERSION=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION.$CUDA_PATCH_VERSION
 ENV CUDA_PKG_VERSION=$CUDA_MAJOR_VERSION-$CUDA_MINOR_VERSION=$CUDA_VERSION-1
 LABEL com.nvidia.volumes.needed="nvidia_driver"
 LABEL com.nvidia.cuda.version="${CUDA_VERSION}"
-ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
+ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/bin:${PATH}
 # The stub is useful to us both for built-time linking and run-time linking, on CPU-only systems.
 # When intended to be used with actual GPUs, make sure to (besides providing access to the host
 # CUDA user libraries, either manually or through the use of nvidia-docker) exclude them. One

From aa81385cd41bd030e986abca32279fc6449d87fb Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Mon, 11 May 2020 15:04:34 -0400
Subject: [PATCH 0962/1660] Install Kaggle API (#798)

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 07095788..49d26873 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -248,6 +248,7 @@ RUN pip install mpld3 && \
     pip install eli5 && \
     pip install implicit && \
     pip install dask-ml[xgboost] && \
+    pip install kaggle && \
     /tmp/clean-layer.sh
 
 RUN pip install kmeans-smote --no-dependencies && \

From e2b74d28c65e5ed3b12f9533b0b18894b94b11e9 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 13 May 2020 17:07:15 +0000
Subject: [PATCH 0963/1660] Build TensorFlow 2.2.0 whl

---
 tensorflow-whl/CHANGELOG.md | 1 +
 tensorflow-whl/Dockerfile   | 4 ++--
 2 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index 39a1d972..425d33fa 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -14,3 +14,4 @@
 * `2.1.0-py37`: TensorFlow 2.1.0 with Python 3.7
 * `2.1.0-py37-2`: TensorFlow 2.1.0 with Python 3.7 & DLVM base image.
 * `2.1.0-py37-3`: TensorFlow 2.1.0 with Python 3.7, DLVM base image, tensorflow-gcs-config.
+* `2.2.0-py37`: TensorFlow 2.2.0 with Python 3.7.
\ No newline at end of file
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index c53c5759..831faa13 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -53,7 +53,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
 RUN pip install --upgrade pip
 
 # See _TF_(MIN|MAX)_BAZEL_VERSION at https://github.com/tensorflow/tensorflow/blob/master/configure.py.
-ENV BAZEL_VERSION=0.29.1
+ENV BAZEL_VERSION=2.0.0
 RUN apt-get install -y gnupg zip openjdk-8-jdk && \
     apt-get install -y --no-install-recommends \
       bash-completion \
@@ -66,7 +66,7 @@ RUN apt-get install -y gnupg zip openjdk-8-jdk && \
 RUN cd /usr/local/src && \
     git clone https://github.com/tensorflow/tensorflow && \
     cd tensorflow && \
-    git checkout tags/v2.1.0 && \
+    git checkout tags/v2.2.0 && \
     pip install keras_applications --no-deps && \
     pip install keras_preprocessing --no-deps
 

From ad491b0ffb3e1758afee264893ee814f27a80a4f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 13 May 2020 14:20:04 -0700
Subject: [PATCH 0964/1660] Remove holidays pin

fbprophet now supports the latest version of the holidays package.

BUG=148383434
---
 Dockerfile | 2 --
 1 file changed, 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 49d26873..df636ae1 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -217,8 +217,6 @@ RUN pip install mpld3 && \
     pip install pyexcel-ods && \
     pip install sklearn-pandas && \
     pip install stemming && \
-    # b/148383434 remove pip install for holidays once fbprophet is compatible with latest version of holidays.
-    pip install holidays==0.9.12 && \
     pip install fbprophet && \
     pip install holoviews && \
     # 1.6.2 is not currently supported by the version of matplotlib we are using.

From 01ba18c4570dc49058b3ea9b779dbc9f173eacae Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 13 May 2020 14:32:01 -0700
Subject: [PATCH 0965/1660] Remove geoviews & plotnine pins

We are now using `matplotlib` 3.2 which works with the latest version of these 2 packages.
---
 Dockerfile | 8 ++------
 1 file changed, 2 insertions(+), 6 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 49d26873..404f48c4 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -221,9 +221,7 @@ RUN pip install mpld3 && \
     pip install holidays==0.9.12 && \
     pip install fbprophet && \
     pip install holoviews && \
-    # 1.6.2 is not currently supported by the version of matplotlib we are using.
-    # See other comments about why matplotlib is pinned.
-    pip install geoviews==1.6.1 && \
+    pip install geoviews && \
     pip install hypertools && \
     pip install py_stringsimjoin && \
     pip install nibabel && \
@@ -239,9 +237,7 @@ RUN pip install mpld3 && \
     pip install scikit-plot && \
     # dipy requires the optional fury dependency for visualizations.
     pip install fury dipy && \
-    # plotnine 0.5 is depending on matplotlib >= 3.0 which is not compatible with basemap.
-    # once basemap support matplotlib, we can unpin this package.
-    pip install plotnine==0.4.0 && \
+    pip install plotnine && \
     pip install scikit-surprise && \
     pip install pymongo && \
     pip install geoplot && \

From 60ad63ffc0a6167d94ef9e8ec70a407a462438a2 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 13 May 2020 14:36:17 -0700
Subject: [PATCH 0966/1660] Remove osmnx pin

BUG=145133331
---
 Dockerfile | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 49d26873..19be0ff9 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -414,10 +414,7 @@ RUN pip install flashtext && \
     pip install plotly_express && \
     pip install albumentations && \
     pip install catalyst && \
-    # b/145133331: latest version is causing issue with gcloud.
-    pip install rtree==0.8.3 && \
-    # b/145133331 osmnx 0.11 requires rtree >= 0.9 which is causing issue with gcloud.
-    pip install osmnx==0.10 && \
+    pip install osmnx && \
     apt-get -y install libspatialindex-dev && \
     pip install pytorch-ignite && \
     pip install qgrid && \

From 1c0fa2ce61049d45be2705449b12016d601ea738 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 13 May 2020 22:38:02 +0000
Subject: [PATCH 0967/1660] Don't assume the same worker is running the diff
 stages

---
 Jenkinsfile | 10 ++++++++--
 1 file changed, 8 insertions(+), 2 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 04cee7f2..289e67fc 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -120,7 +120,10 @@ pipeline {
         stage('CPU Diff') {
           steps {
             sh '''#!/bin/bash
-            ./diff
+            set -exo pipefail
+
+            docker pull gcr.io/kaggle-images/python:${STAGING_TAG}
+            ./diff --target gcr.io/kaggle-images/python:${STAGING_TAG}
           '''
           }
         }
@@ -128,7 +131,10 @@ pipeline {
           agent { label 'ephemeral-linux-gpu' }
           steps {
             sh '''#!/bin/bash
-            ./diff --gpu
+            set -exo pipefail
+
+            docker pull gcr.io/kaggle-private-byod/python:${STAGING_TAG}
+            ./diff --gpu --target gcr.io/kaggle-private-byod/python:${STAGING_TAG}
           '''
           }
         }

From daf7da314c11796ab9f950bc9c318de3c7914ef6 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Thu, 14 May 2020 14:53:18 -0400
Subject: [PATCH 0968/1660] pip install papermill

papermill provides a bunch of nice features for executing notebooks, including ones not provided by nbconvert.

Some key features we want:
* dump cell output to logs
* stop on cell error, but still include cell output up to the errored cell
---
 Dockerfile | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 48f30373..d3dd7dec 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -487,6 +487,9 @@ RUN jupyter-nbextension disable nb_conda --py --sys-prefix && \
     jupyter-nbextension disable nbpresent --py --sys-prefix && \
     jupyter-serverextension disable nbpresent --py --sys-prefix
 
+# Install papermill so it can replace nbconvert as a method to execute notebooks.
+RUN pip install papermill
+
 # Set backend for matplotlib
 ENV MPLBACKEND "agg"
 

From ed1861e7aa19ebff942e3552b304ae9e581b5757 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Thu, 14 May 2020 14:57:07 -0400
Subject: [PATCH 0969/1660] move papermill into an existing layer

---
 Dockerfile | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index d3dd7dec..cb71ff7f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -422,6 +422,8 @@ RUN pip install flashtext && \
     pip install geopandas==0.6.3 && \
     pip install nnabla && \
     pip install vowpalwabbit && \
+    # papermill can replace nbconvert for executing notebooks
+    pip install papermill && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages
@@ -487,9 +489,6 @@ RUN jupyter-nbextension disable nb_conda --py --sys-prefix && \
     jupyter-nbextension disable nbpresent --py --sys-prefix && \
     jupyter-serverextension disable nbpresent --py --sys-prefix
 
-# Install papermill so it can replace nbconvert as a method to execute notebooks.
-RUN pip install papermill
-
 # Set backend for matplotlib
 ENV MPLBACKEND "agg"
 

From bf0f2800a90b2e00749fd4253333fb3246e0e025 Mon Sep 17 00:00:00 2001
From: herbison <herbison@google.com>
Date: Thu, 14 May 2020 15:18:49 -0400
Subject: [PATCH 0970/1660] add papermill test

---
 tests/test_papermill.py | 14 ++++++++++++++
 1 file changed, 14 insertions(+)
 create mode 100644 tests/test_papermill.py

diff --git a/tests/test_papermill.py b/tests/test_papermill.py
new file mode 100644
index 00000000..1ba1bd7a
--- /dev/null
+++ b/tests/test_papermill.py
@@ -0,0 +1,14 @@
+import unittest
+
+import subprocess
+
+class TestPapermill(unittest.TestCase):
+    def test_papermill(self):
+        result = subprocess.run([
+            'papermill',
+            '/input/tests/data/notebook.ipynb',
+            '-',
+        ], stdout=subprocess.PIPE)
+
+        self.assertEqual(0, result.returncode)
+        self.assertTrue(b'999' in result.stdout)

From d481c26abb700b949e67e8bc9cddcb8f58bcd181 Mon Sep 17 00:00:00 2001
From: herbison <herbison@google.com>
Date: Thu, 14 May 2020 18:48:23 -0400
Subject: [PATCH 0971/1660] add kernelspec to test notebook

---
 tests/data/notebook.ipynb | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/tests/data/notebook.ipynb b/tests/data/notebook.ipynb
index 11b37b9c..3f463f01 100644
--- a/tests/data/notebook.ipynb
+++ b/tests/data/notebook.ipynb
@@ -11,6 +11,7 @@
     }
   ],
   "metadata":{
+    "kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},
     "language_info":{
        "codemirror_mode":{
           "name":"ipython",
@@ -26,4 +27,4 @@
   },
   "nbformat":4,
   "nbformat_minor":4
-}
\ No newline at end of file
+}

From bc42fea474584eb7e9ce1fa2fb4995eedd18a8a4 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 14 May 2020 17:21:44 -0700
Subject: [PATCH 0972/1660] Call clean-layer script after JAX installation

---
 gpu.Dockerfile | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index ecd88c78..933ca640 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -89,7 +89,8 @@ ENV JAX_PLATFORM=linux_x86_64
 ENV JAX_BASE_URL="https://storage.googleapis.com/jax-releases"
 
 RUN  pip install $JAX_BASE_URL/$JAX_CUDA_VERSION/jaxlib-$JAXLIB_VERSION-$JAX_PYTHON_VERSION-none-$JAX_PLATFORM.whl && \
-     pip install jax==$JAX_VERSION
+     pip install jax==$JAX_VERSION && \
+     /tmp/clean-layer.sh
 
 # Reinstall packages with a separate version for GPU support.
 COPY --from=tensorflow_whl /tmp/tensorflow_gpu/*.whl /tmp/tensorflow_gpu/
@@ -113,4 +114,4 @@ RUN pip install pycuda && \
 # ADD patches/tensorboard/notebook.py /opt/conda/lib/python3.7/site-packages/tensorboard/notebook.py
 
 # Remove the CUDA stubs.
-ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH_NO_STUBS"
\ No newline at end of file
+ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH_NO_STUBS"

From d907aeab7b11e4c8cd9a9cfca12e502b4a52dfc9 Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@google.com>
Date: Fri, 15 May 2020 16:44:15 -0600
Subject: [PATCH 0973/1660] Update tensorflow_gcs_config source with upstream
 changes for TF 2.2

---
 .../tensorflow_gcs_config/gcs_config_op_kernels.cc            | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/gcs_config_op_kernels.cc b/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/gcs_config_op_kernels.cc
index 3e2fc310..d5b1e992 100644
--- a/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/gcs_config_op_kernels.cc
+++ b/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/gcs_config_op_kernels.cc
@@ -172,8 +172,8 @@ class GcsCredentialsOpKernel : public OpKernel {
     Env* env_;
 
     mutex mu_;
-    string current_token_ GUARDED_BY(mu_);
-    uint64 expiration_timestamp_sec_ GUARDED_BY(mu_) = 0;
+    string current_token_ TF_GUARDED_BY(mu_);
+    uint64 expiration_timestamp_sec_ TF_GUARDED_BY(mu_) = 0;
 
     // The initial delay for exponential backoffs when retrying failed calls.
     const int64 initial_retry_delay_usec_;

From c08b4d22d53e98d28c59ec1f9c254740220a2a5d Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 19 May 2020 16:29:54 +0000
Subject: [PATCH 0974/1660] Use TensorFlow 2.2.0 wheels

---
 Dockerfile     | 4 ++--
 gpu.Dockerfile | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index cb71ff7f..a04401f7 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=latest
-ARG TENSORFLOW_VERSION=2.1.0
+ARG TENSORFLOW_VERSION=2.2.0
 
-FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37-3 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37 as tensorflow_whl
 FROM gcr.io/deeplearning-platform-release/base-cpu:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 933ca640..0cb1c8fe 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=staging
 
 FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04 AS nvidia
-FROM gcr.io/kaggle-images/python-tensorflow-whl:2.1.0-py37-2 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:2.2.0-py37 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh

From 866850d2c9124efca61919ab5077be2f7be3cd8d Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 19 May 2020 13:59:55 -0700
Subject: [PATCH 0975/1660] Install cloud-tpu-client package

BUG=157077025
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index a04401f7..a6599cf8 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -424,6 +424,7 @@ RUN pip install flashtext && \
     pip install vowpalwabbit && \
     # papermill can replace nbconvert for executing notebooks
     pip install papermill && \
+    pip install cloud-tpu-client && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages

From 75ddf53f923b9ada5c8031ec485d38f655edb90b Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 19 May 2020 21:54:01 +0000
Subject: [PATCH 0976/1660] Build TensorFlow addons wheels.

TFA must be build from source to support CustomOps. This is necessary
since TensorFlow C++ API is not ABI compatible. See:

- https://github.com/tensorflow/addons/issues/987.
---
 tensorflow-whl/CHANGELOG.md |  3 ++-
 tensorflow-whl/Dockerfile   | 39 +++++++++++++++++++++++++++++--------
 2 files changed, 33 insertions(+), 9 deletions(-)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index 425d33fa..90179047 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -14,4 +14,5 @@
 * `2.1.0-py37`: TensorFlow 2.1.0 with Python 3.7
 * `2.1.0-py37-2`: TensorFlow 2.1.0 with Python 3.7 & DLVM base image.
 * `2.1.0-py37-3`: TensorFlow 2.1.0 with Python 3.7, DLVM base image, tensorflow-gcs-config.
-* `2.2.0-py37`: TensorFlow 2.2.0 with Python 3.7.
\ No newline at end of file
+* `2.2.0-py37`: TensorFlow 2.2.0 with Python 3.7.
+* `2.2.0-py37-2`: TensorFlow 2.2.0 with Python 3.7 & TFA.
\ No newline at end of file
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 831faa13..a2cbc582 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -62,7 +62,7 @@ RUN apt-get install -y gnupg zip openjdk-8-jdk && \
     dpkg -i bazel_*.deb && \
     rm bazel_*.deb
 
-# Fetch tensorflow & install dependencies.
+# Fetch TensorFlow & install dependencies.
 RUN cd /usr/local/src && \
     git clone https://github.com/tensorflow/tensorflow && \
     cd tensorflow && \
@@ -70,7 +70,7 @@ RUN cd /usr/local/src && \
     pip install keras_applications --no-deps && \
     pip install keras_preprocessing --no-deps
 
-# Create a tensorflow wheel for CPU
+# Create a TensorFlow wheel for CPU
 RUN cd /usr/local/src/tensorflow && \
     cat /dev/null | ./configure && \
     bazel build --config=opt \
@@ -80,6 +80,26 @@ RUN cd /usr/local/src/tensorflow && \
     bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_cpu && \
     bazel clean
 
+# Install TensorFlow CPU wheel which is required to build the GCS & addons libraries.
+RUN pip install /tmp/tensorflow_cpu/tensorflow*.whl
+
+# Build TensorFlow addons library against TensorFlow CPU.
+RUN cd /usr/local/src/ && \
+    git clone https://github.com/tensorflow/addons && \
+    cd addons && \
+    git checkout tags/v0.10.0 && \
+    python ./configure.py && \
+    bazel build --enable_runfiles build_pip_pkg && \
+    bazel-bin/build_pip_pkg /tmp/tfa_cpu && \
+    bazel clean
+
+# Build tensorflow_gcs_config library against TensorFlow CPU.
+ADD tensorflow-gcs-config /usr/local/src/tensorflow_gcs_config/
+RUN cd /usr/local/src/tensorflow_gcs_config && \
+    apt-get install -y libcurl4-openssl-dev && \
+    python setup.py bdist_wheel -d /tmp/tensorflow_gcs_config && \
+    bazel clean
+
 # Create a tensorflow wheel for GPU/cuda
 ENV TF_NEED_CUDA=1
 ENV TF_CUDA_VERSION=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION
@@ -103,13 +123,16 @@ RUN cd /usr/local/src/tensorflow && \
     bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_gpu && \
     bazel clean
 
-ADD tensorflow-gcs-config /usr/local/src/tensorflow_gcs_config/
+# Install TensorFlow GPU wheel which to build addons against.
+RUN pip install /tmp/tensorflow_gpu/tensorflow*.whl
 
-# Build tensorflow_gcs_config library against the tensorflow_cpu build
-RUN cd /usr/local/src/tensorflow_gcs_config && \
-    apt-get install -y libcurl4-openssl-dev && \
-    pip install /tmp/tensorflow_cpu/tensorflow*.whl && \
-    python setup.py bdist_wheel -d /tmp/tensorflow_gcs_config && \
+# Build TensorFlow addons library against TensorFlow GPU.
+ENV CUDA_TOOLKIT_PATH=/usr/local/cuda
+ENV CUDNN_INSTALL_PATH=/usr/lib/x86_64-linux-gnu
+RUN cd /usr/local/src/addons && \
+    python ./configure.py && \
+    bazel build --enable_runfiles build_pip_pkg && \
+    bazel-bin/build_pip_pkg /tmp/tfa_gpu && \
     bazel clean
 
 # Print out the built .whl files

From 7c57501ad19412376399870666cf560cd123cb73 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 19 May 2020 22:07:19 +0000
Subject: [PATCH 0977/1660] Add TensorFlow addons (TFA)

Note: TFA functionnality relying on Custom Op won't work. See:
https://github.com/tensorflow/addons/issues/987.

BUG=145555176
---
 Dockerfile                      |  5 +++++
 tests/test_tensorflow_addons.py | 14 ++++++++++++++
 2 files changed, 19 insertions(+)
 create mode 100644 tests/test_tensorflow_addons.py

diff --git a/Dockerfile b/Dockerfile
index a04401f7..69c28dba 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -65,6 +65,11 @@ RUN pip install /tmp/tensorflow_gcs_config/tensorflow*.whl && \
     rm -rf /tmp/tensorflow_gcs_config && \
     /tmp/clean-layer.sh
 
+# Install TensorFlow addons (TFA).
+# TFA functionnality relying on Custom Op won't work. See: https://github.com/tensorflow/addons/issues/987.
+RUN pip install tensorflow-addons==0.10.0 && \
+    /tmp/clean-layer.sh
+
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
     pip install gensim && \
diff --git a/tests/test_tensorflow_addons.py b/tests/test_tensorflow_addons.py
new file mode 100644
index 00000000..51a09489
--- /dev/null
+++ b/tests/test_tensorflow_addons.py
@@ -0,0 +1,14 @@
+import unittest
+
+import tensorflow as tf
+import tensorflow_addons as tfa
+
+
+class TestTensorflowAddons(unittest.TestCase):
+    def test_tfa_image(self):
+        img_raw = tf.io.read_file('/input/tests/data/dot.png')
+        img = tf.io.decode_image(img_raw)
+        img = tf.image.convert_image_dtype(img, tf.float32)
+        mean = tfa.image.mean_filter2d(img, filter_shape=1)
+
+        self.assertEqual(1, len(mean))
\ No newline at end of file

From 5b76165ebb59e89360a1a24a1d6be55b41773d7a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 20 May 2020 17:27:05 +0000
Subject: [PATCH 0978/1660] Use custom TFA wheels.

This allows support for Custom Op. See https://github.com/tensorflow/addons#987

BUG=145555176
---
 Dockerfile     | 7 ++++---
 gpu.Dockerfile | 8 +++++++-
 2 files changed, 11 insertions(+), 4 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 9384748e..3afe77c5 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=latest
 ARG TENSORFLOW_VERSION=2.2.0
 
-FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37-2 as tensorflow_whl
 FROM gcr.io/deeplearning-platform-release/base-cpu:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
@@ -66,8 +66,9 @@ RUN pip install /tmp/tensorflow_gcs_config/tensorflow*.whl && \
     /tmp/clean-layer.sh
 
 # Install TensorFlow addons (TFA).
-# TFA functionnality relying on Custom Op won't work. See: https://github.com/tensorflow/addons/issues/987.
-RUN pip install tensorflow-addons==0.10.0 && \
+COPY --from=tensorflow_whl /tmp/tfa_cpu/*.whl /tmp/tfa_cpu/
+RUN pip install /tmp/tfa_cpu/tensorflow*.whl && \
+    rm -rf /tmp/tfa_cpu/ && \
     /tmp/clean-layer.sh
 
 RUN apt-get install -y libfreetype6-dev && \
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 0cb1c8fe..611da4bf 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=staging
 
 FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04 AS nvidia
-FROM gcr.io/kaggle-images/python-tensorflow-whl:2.2.0-py37 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:2.2.0-py37-2 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
@@ -102,6 +102,12 @@ RUN pip uninstall -y tensorflow && \
     pip install --no-deps mxnet-cu$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \
     /tmp/clean-layer.sh
 
+ # Reinstall TensorFlow addons (TFA) with GPU support.
+COPY --from=tensorflow_whl /tmp/tfa_gpu/*.whl /tmp/tfa_gpu/
+RUN pip install /tmp/tfa_gpu/tensorflow*.whl && \
+    rm -rf /tmp/tfa_gpu/ && \
+    /tmp/clean-layer.sh
+
 # Install GPU-only packages
 RUN pip install pycuda && \
     pip install cupy-cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \

From 828d03d7a49d65e8584d4bc373ae4d429b291104 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 20 May 2020 22:33:16 +0000
Subject: [PATCH 0979/1660] Add a test exercising TFA custom op.

To prevent future regression.

BUG=145555176
---
 tests/test_tensorflow_addons.py | 11 ++++++++++-
 1 file changed, 10 insertions(+), 1 deletion(-)

diff --git a/tests/test_tensorflow_addons.py b/tests/test_tensorflow_addons.py
index 51a09489..ff2c9cd2 100644
--- a/tests/test_tensorflow_addons.py
+++ b/tests/test_tensorflow_addons.py
@@ -1,5 +1,6 @@
 import unittest
 
+import numpy as np
 import tensorflow as tf
 import tensorflow_addons as tfa
 
@@ -11,4 +12,12 @@ def test_tfa_image(self):
         img = tf.image.convert_image_dtype(img, tf.float32)
         mean = tfa.image.mean_filter2d(img, filter_shape=1)
 
-        self.assertEqual(1, len(mean))
\ No newline at end of file
+        self.assertEqual(1, len(mean))
+    
+    # This test exercises TFA Custom Op. See: b/145555176
+    def test_gelu(self):
+        x = tf.constant([[0.5, 1.2, -0.3]])
+        layer = tfa.layers.GELU()
+        result = layer(x)
+
+        self.assertEqual((1, 3), result.shape)
\ No newline at end of file

From 09a76b89ddf796a7ea93d6e0c76ac3ac7552ed18 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 20 May 2020 22:44:31 +0000
Subject: [PATCH 0980/1660] remove np import

---
 tests/test_tensorflow_addons.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/tests/test_tensorflow_addons.py b/tests/test_tensorflow_addons.py
index ff2c9cd2..3ccd0167 100644
--- a/tests/test_tensorflow_addons.py
+++ b/tests/test_tensorflow_addons.py
@@ -1,6 +1,5 @@
 import unittest
 
-import numpy as np
 import tensorflow as tf
 import tensorflow_addons as tfa
 

From 3ac8c93b18cee1af15ddd35baf00046c9a4f6e46 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 20 May 2020 23:22:56 +0000
Subject: [PATCH 0981/1660] Add staging tag to images at the end of build
 pipeline

This way, we avoid the risk of releasing a CPU and GPU image from 2 different builds.

BUG=157163453
---
 Jenkinsfile | 46 ++++++++++++++++------------------------------
 1 file changed, 16 insertions(+), 30 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 289e67fc..2b387fa5 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -47,18 +47,6 @@ pipeline {
         '''
       }
     }
-
-    stage('Push CPU Image') {
-      steps {
-        sh '''#!/bin/bash
-          set -exo pipefail
-
-          date
-          docker pull gcr.io/kaggle-images/python:${PRETEST_TAG}
-          ./push --source-image gcr.io/kaggle-images/python:${PRETEST_TAG} ${STAGING_TAG}
-        '''
-      }
-    }
     
     stage('Docker GPU Build') {
       // A GPU is not required to build this image. However, in our current setup,
@@ -81,7 +69,7 @@ pipeline {
           # will untag the previously built image which is safe to do. Builds for a single branch are performed
           # serially.
           docker image prune -f
-          ./build --gpu --base-image-tag ${STAGING_TAG} | ts
+          ./build --gpu --base-image-tag ${PRETEST_TAG} | ts
           ./push --gpu ${PRETEST_TAG}
         '''
       }
@@ -102,19 +90,6 @@ pipeline {
       }
     }
 
-    stage('Push GPU Image') {
-      agent { label 'ephemeral-linux-gpu' }
-      steps {
-        sh '''#!/bin/bash
-          set -exo pipefail
-
-          date
-          docker pull gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
-          ./push --source-image gcr.io/kaggle-private-byod/python:${PRETEST_TAG} --gpu ${STAGING_TAG}
-        '''
-      }
-    }
-
     stage('Package Versions') {
       parallel {
         stage('CPU Diff') {
@@ -122,8 +97,8 @@ pipeline {
             sh '''#!/bin/bash
             set -exo pipefail
 
-            docker pull gcr.io/kaggle-images/python:${STAGING_TAG}
-            ./diff --target gcr.io/kaggle-images/python:${STAGING_TAG}
+            docker pull gcr.io/kaggle-images/python:${PRETEST_TAG}
+            ./diff --target gcr.io/kaggle-images/python:${PRETEST_TAG}
           '''
           }
         }
@@ -133,13 +108,24 @@ pipeline {
             sh '''#!/bin/bash
             set -exo pipefail
 
-            docker pull gcr.io/kaggle-private-byod/python:${STAGING_TAG}
-            ./diff --gpu --target gcr.io/kaggle-private-byod/python:${STAGING_TAG}
+            docker pull gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
+            ./diff --gpu --target gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
           '''
           }
         }
       }
     }
+
+    stage('Label CPU/GPU Staging Images') {
+      steps {
+        sh '''#!/bin/bash
+          set -exo pipefail
+
+          gcloud container images add-tag gcr.io/kaggle-images/python:${PRETEST_TAG} gcr.io/kaggle-images/python:${STAGING_TAG}
+          gcloud container images add-tag gcr.io/kaggle-private-byod/python:${PRETEST_TAG} gcr.io/kaggle-private-byod/python:${STAGING_TAG}
+        '''
+      }
+    }
   }
 
   post {

From 1206a18a2436539ac748dbfa5c4131c7bc17af94 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 21 May 2020 17:23:57 +0000
Subject: [PATCH 0982/1660] Use consistent conda channels list.

See: https://github.com/Kaggle/docker-python/issues/791#issuecomment-632223272
---
 Dockerfile     | 10 ++++++++--
 gpu.Dockerfile |  2 +-
 2 files changed, 9 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 3afe77c5..23a300ae 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -36,9 +36,15 @@ ENV PROJ_LIB=/opt/conda/share/proj
 # Install conda packages not available on pip.
 # When using pip in a conda environment, conda commands should be ran first and then
 # the remaining pip commands: https://www.anaconda.com/using-pip-in-a-conda-environment/
-RUN conda install -c conda-forge matplotlib basemap cartopy python-igraph imagemagick pysal && \
+# Using the same global consistent ordered list of channels
+RUN conda config --add channels conda-forge && \
+    conda config --add channels nvidia && \
+    conda config --add channels pytorch && \
+    conda config --add channels rapidsai && \
+    # ^ rapidsai is the highest priority channel, default lowest, conda-forge 2nd lowest.
+    conda install matplotlib basemap cartopy python-igraph imagemagick pysal && \
     # b/142337634#comment22 pin required to avoid torchaudio downgrade.
-    conda install -c pytorch pytorch torchvision "torchaudio>=0.4.0" cpuonly && \
+    conda install "pytorch>=1.5.0" "torchvision>=0.6.0" "torchaudio>=0.5.0" cpuonly && \
     /tmp/clean-layer.sh
 
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 611da4bf..8a7603c4 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -61,7 +61,7 @@ RUN apt-get install -y ocl-icd-libopencl1 clinfo libboost-all-dev && \
 # However, because this image is based on the CPU image, this isn't possible but better
 # to put them at the top of this file to minize conflicts.
 RUN conda remove --force -y pytorch torchvision torchaudio cpuonly && \
-    conda install -y pytorch torchvision torchaudio cudatoolkit=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION -c pytorch && \
+    conda install "pytorch>=1.5.0" "torchvision>=0.6.0" "torchaudio>=0.5.0" cudatoolkit=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION && \
     /tmp/clean-layer.sh
 
 # Install LightGBM with GPU

From ddc7cf748ae683231ad8bcb1797edd347eb3468e Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 21 May 2020 11:57:17 -0700
Subject: [PATCH 0983/1660] Add the patch to the cudatoolkit version

---
 gpu.Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 8a7603c4..bef55476 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -61,7 +61,7 @@ RUN apt-get install -y ocl-icd-libopencl1 clinfo libboost-all-dev && \
 # However, because this image is based on the CPU image, this isn't possible but better
 # to put them at the top of this file to minize conflicts.
 RUN conda remove --force -y pytorch torchvision torchaudio cpuonly && \
-    conda install "pytorch>=1.5.0" "torchvision>=0.6.0" "torchaudio>=0.5.0" cudatoolkit=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION && \
+    conda install "pytorch>=1.5.0" "torchvision>=0.6.0" "torchaudio>=0.5.0" cudatoolkit=$CUDA_VERSION && \
     /tmp/clean-layer.sh
 
 # Install LightGBM with GPU

From c85d7fd2b0022efff8a9bea4544634f045d04304 Mon Sep 17 00:00:00 2001
From: Stephan Klinger <staeff@arcor.de>
Date: Sun, 24 May 2020 23:11:31 +0200
Subject: [PATCH 0984/1660] Install fixed ggplot

Upstream does not merge the fix https://github.com/yhat/ggpy/pull/668
---
 Dockerfile           |  7 ++++---
 tests/test_ggplot.py | 12 ++++++++++++
 2 files changed, 16 insertions(+), 3 deletions(-)
 create mode 100644 tests/test_ggplot.py

diff --git a/Dockerfile b/Dockerfile
index 23a300ae..5a143832 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -127,7 +127,7 @@ RUN apt-get install -y libfreetype6-dev && \
 RUN pip install ibis-framework && \
     pip install mxnet && \
     pip install gluonnlp && \
-    pip install gluoncv && \    
+    pip install gluoncv && \
     /tmp/clean-layer.sh
 
 # scikit-learn dependencies
@@ -375,7 +375,7 @@ RUN pip install bcolz && \
     pip install allennlp && \
     # b/149359379 remove once allennlp 1.0 is released which won't cause a spacy downgrade.
     pip install spacy==2.2.3 && python -m spacy download en && python -m spacy download en_core_web_lg && \
-    apt-get install -y ffmpeg && \ 
+    apt-get install -y ffmpeg && \
     /tmp/clean-layer.sh
 
     ###########
@@ -408,7 +408,8 @@ RUN pip install flashtext && \
     pip install tensorflow_hub && \
     pip install jieba  && \
     pip install git+https://github.com/SauceCat/PDPbox && \
-    pip install ggplot && \
+    # ggplot is broken and main repo does not merge and release https://github.com/yhat/ggpy/pull/668
+    pip install https://github.com/hbasria/ggpy/archive/0.11.5.zip && \
     pip install cesium && \
     pip install rgf_python && \
     # b/145404107: latest version force specific version of numpy and torch.
diff --git a/tests/test_ggplot.py b/tests/test_ggplot.py
new file mode 100644
index 00000000..30aec29f
--- /dev/null
+++ b/tests/test_ggplot.py
@@ -0,0 +1,12 @@
+import unittest
+import os.path
+
+from ggplot import *
+
+class TestGgplot(unittest.TestCase):
+
+    def test_plot(self):
+        p = ggplot(aes(x='mpg'), data=mtcars) + geom_histogram()
+        p.save("myplot.png")
+
+        self.assertTrue(os.path.isfile("myplot.png"))

From 3a0886234ce66a1f682fbd80b9a3f65adf1c53e0 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 1 Jun 2020 18:37:03 +0000
Subject: [PATCH 0985/1660] Pin base image.

A new base image was released on May 28th. This new image includes numba
0.49.1 and llvmlite 0.32.0. Unfortunately, numba >= 0.49.0 has a
performance regression and packages such as datashader downgrades
it. llvmlite can't be downgraded safely since it is a distutils
package.

Pinning the base image until the numba/llvmlite performance regression
is fixed.
---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 5a143832..f9d864ca 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,4 +1,5 @@
-ARG BASE_TAG=latest
+# b/157908450 set to latest once numba 0.49.x fixes performance regression for datashader.
+ARG BASE_TAG=m46
 ARG TENSORFLOW_VERSION=2.2.0
 
 FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37-2 as tensorflow_whl

From 446f0446dc3b68a7c4b3090cec8dcbf426eb00d7 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 1 Jun 2020 22:35:15 +0000
Subject: [PATCH 0986/1660] Install keras-tuner

Also included a test to prevent regression.

BUG=157935320
---
 Dockerfile                |  1 +
 tests/test_keras_tuner.py | 35 +++++++++++++++++++++++++++++++++++
 2 files changed, 36 insertions(+)
 create mode 100644 tests/test_keras_tuner.py

diff --git a/Dockerfile b/Dockerfile
index f9d864ca..e1e8cae4 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -88,6 +88,7 @@ RUN apt-get install -y libfreetype6-dev && \
     pip install lightgbm==2.3.1 && \
     pip install git+git://github.com/Lasagne/Lasagne.git && \
     pip install keras && \
+    pip install keras-tuner && \
     pip install flake8 && \
     #neon
     cd /usr/local/src && \
diff --git a/tests/test_keras_tuner.py b/tests/test_keras_tuner.py
new file mode 100644
index 00000000..37791d88
--- /dev/null
+++ b/tests/test_keras_tuner.py
@@ -0,0 +1,35 @@
+import unittest
+
+import tensorflow as tf
+import numpy as np
+
+from kerastuner.tuners import RandomSearch
+
+
+class TestKerasTuner(unittest.TestCase):
+    def test_search(self):
+        def build_model(hp):
+            x_train = np.random.random((100, 28, 28))
+            y_train = np.random.randint(10, size=(100, 1))
+            x_test = np.random.random((20, 28, 28))
+            y_test = np.random.randint(10, size=(20, 1))
+
+            model = tf.keras.models.Sequential([
+                tf.keras.layers.Flatten(input_shape=(28, 28)),
+                tf.keras.layers.Dense(128, activation='relu'),
+                tf.keras.layers.Dropout(hp.Choice('dropout_rate', values=[0.2, 0.4])),
+                tf.keras.layers.Dense(10, activation='softmax')
+            ])
+
+            model.compile(
+                optimizer='adam',
+                loss='sparse_categorical_crossentropy',
+                metrics=['accuracy'])
+
+            return model
+
+            tuner = RandomSearch(build_model, objective='accuracy', max_trials=1, executions_per_trial=1, seed=1)
+
+            tuner.search(x_train, y_train, epochs=1)
+
+            self.assertEqual(0.4, tuner.get_best_hyperparameters(1)[0].get('dropout_rate'))
\ No newline at end of file

From 96264fe9b7d9e373224e620e372e7bf72f986a82 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 1 Jun 2020 18:43:18 +0000
Subject: [PATCH 0987/1660] Unpin distributed

Base image now includes distributed 2.16.0.
---
 Dockerfile | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index e1e8cae4..618195d1 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -49,8 +49,7 @@ RUN conda config --add channels conda-forge && \
     /tmp/clean-layer.sh
 
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
-# b/150498764 distributed 2.11.0 fails at import while trying to reach out to 8.8.8.8 since the network is disabled in our hermetic tests.
-RUN pip install distributed==2.10.0 && \
+RUN pip install distributed && \
     pip install seaborn python-dateutil dask && \
     pip install pyyaml joblib pytagcloud husl geopy ml_metrics mne pyshp && \
     pip install pandas && \

From f1a9fa839216e4d29231aca221007de6e1c8cd9e Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 4 Jun 2020 17:48:13 +0000
Subject: [PATCH 0988/1660] hostname defaults to localhost

---
 Dockerfile | 3 +--
 test       | 3 +++
 2 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 618195d1..02e99afd 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -49,8 +49,7 @@ RUN conda config --add channels conda-forge && \
     /tmp/clean-layer.sh
 
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
-RUN pip install distributed && \
-    pip install seaborn python-dateutil dask && \
+RUN pip install seaborn python-dateutil dask && \
     pip install pyyaml joblib pytagcloud husl geopy ml_metrics mne pyshp && \
     pip install pandas && \
     # Install h2o from source.
diff --git a/test b/test
index c1d0c8f5..2c392843 100755
--- a/test
+++ b/test
@@ -94,6 +94,9 @@ docker run --rm -t --read-only --net=none \
     -e KAGGLE_DATA_PROXY_URL=http://127.0.0.1:8000 \
     -e KAGGLE_DATA_PROXY_PROJECT=test \
     -e TF_FORCE_GPU_ALLOW_GROWTH=true \
+    # b/158137436: hostname defaults to the container name which fails DNS name
+    # resolution with --net=none (required to keep tests hermetic). See details in bug.
+    --hostname localhost \
     --shm-size=2g \
     -v $PWD:/input:ro -v /tmp/python-build/working:/working \
     -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm \

From 56c109c5b4f3a1e7215f0350069ca9fc3e1dd47f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 4 Jun 2020 17:55:56 +0000
Subject: [PATCH 0989/1660] Move comment

---
 test | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/test b/test
index 2c392843..08abd6a7 100755
--- a/test
+++ b/test
@@ -87,6 +87,10 @@ fi
 # By default, TensorFlow maps nearly all of the GPU memory visible to the process.
 # This is causing issue when other libraries are trying to run tests using a GPU.
 # See: https://www.tensorflow.org/guide/gpu#allowing_gpu_memory_growth
+#
+# Note about `--hostname localhost` (b/158137436)
+# hostname defaults to the container name which fails DNS name
+# resolution with --net=none (required to keep tests hermetic). See details in bug.
 docker run --rm -t --read-only --net=none \
     -e HOME=/tmp -e KAGGLE_DATA_PROXY_TOKEN=test-key \
     -e KAGGLE_USER_SECRETS_TOKEN_KEY=test-secrets-key \
@@ -94,8 +98,6 @@ docker run --rm -t --read-only --net=none \
     -e KAGGLE_DATA_PROXY_URL=http://127.0.0.1:8000 \
     -e KAGGLE_DATA_PROXY_PROJECT=test \
     -e TF_FORCE_GPU_ALLOW_GROWTH=true \
-    # b/158137436: hostname defaults to the container name which fails DNS name
-    # resolution with --net=none (required to keep tests hermetic). See details in bug.
     --hostname localhost \
     --shm-size=2g \
     -v $PWD:/input:ro -v /tmp/python-build/working:/working \

From 43bee578c30c25c8089d511da7f20f3f6c314b71 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 4 Jun 2020 14:25:27 -0700
Subject: [PATCH 0990/1660] Disable nb_conda

Affecting startup latency.

BUG=156116184
---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 02e99afd..10d0cfac 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -500,6 +500,7 @@ ADD patches/imagemagick-policy.xml /etc/ImageMagick-6/policy.xml
 # Disable unnecessary jupyter extensions
 RUN jupyter-nbextension disable nb_conda --py --sys-prefix && \
     jupyter-serverextension disable nb_conda --py --sys-prefix && \
+    python -m nb_conda_kernels.install --disable && \
     jupyter-nbextension disable nbpresent --py --sys-prefix && \
     jupyter-serverextension disable nbpresent --py --sys-prefix
 

From 2815eeb7454dc9964facb5d9810be4139a53fd18 Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@google.com>
Date: Wed, 3 Jun 2020 17:59:38 -0600
Subject: [PATCH 0991/1660] Add a UserSecrets.get_gcloud_credentials() method.

https://b.corp.google.com/issues/158133824
---
 patches/kaggle_secrets.py  | 19 +++++++++++++++++++
 tests/test_user_secrets.py | 29 +++++++++++++++++++++++++----
 2 files changed, 44 insertions(+), 4 deletions(-)

diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index 4bf64af5..55d3f946 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -30,6 +30,9 @@ class BackendError(Exception):
 class ValidationError(Exception):
     pass
 
+class NotFoundError(Exception):
+    pass
+
 @unique
 class GcpTarget(Enum):
     """Enum class to store GCP targets."""
@@ -116,6 +119,22 @@ def get_secret(self, label) -> str:
                 f'Unexpected response from the service. Response: {response_json}')
         return response_json['secret']
 
+    def get_gcloud_credential(self) -> str:
+        """Retrieves the Google Cloud SDK credential attached to the current
+        kernel.
+        Example usage:
+            client = UserSecretsClient()
+            credential_json = client.get_gcloud_credential()
+        """
+        try:
+            return self.get_secret("__gcloud_sdk_auth__")
+        except BackendError as backend_error:
+            message = str(backend_error.args)
+            if message.find('No user secrets exist') != -1:
+              raise NotFoundError('Google Cloud SDK credential not found.')
+            else:
+              raise
+
     def get_bigquery_access_token(self) -> Tuple[str, Optional[datetime]]:
         """Retrieves BigQuery access token information from the UserSecrets service.
 
diff --git a/tests/test_user_secrets.py b/tests/test_user_secrets.py
index 6523f2b7..748cb652 100644
--- a/tests/test_user_secrets.py
+++ b/tests/test_user_secrets.py
@@ -13,7 +13,7 @@
 from kaggle_secrets import (_KAGGLE_URL_BASE_ENV_VAR_NAME,
                             _KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME,
                             CredentialError, GcpTarget, UserSecretsClient,
-                            BackendError, ValidationError)
+                            BackendError, NotFoundError, ValidationError)
 
 _TEST_JWT = 'test-secrets-key'
 
@@ -55,7 +55,7 @@ def get_response(self):
                 if success:
                     return {'result': {'secret': secret, 'secretType': 'refreshToken', 'secretProvider': 'google', 'expiresInSeconds': 3600}, 'wasSuccessful': "true"}
                 else:
-                    return {'wasSuccessful': "false"}
+                    return {'wasSuccessful': "false", 'errors': ['No user secrets exist for kernel']}
 
         env = EnvironmentVarGuard()
         env.set(_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME, _TEST_JWT)
@@ -95,7 +95,7 @@ def call_get_secret():
         self._test_client(call_get_secret,
                           '/requests/GetUserSecretByLabelRequest', {'Label': "secret_label", 'JWE': _TEST_JWT},
                           secret=secret)
-    
+
     def test_get_secret_handles_unsuccessful(self):
         def call_get_secret():
             client = UserSecretsClient()
@@ -112,7 +112,28 @@ def test_get_secret_validates_label(self):
             client = UserSecretsClient()
             with self.assertRaises(ValidationError):
                 secret_response = client.get_secret("")
-                          
+
+    def test_get_gcloud_secret_succeeds(self):
+        secret = '{"client_id":"gcloud","type":"authorized_user"}'
+
+        def call_get_secret():
+            client = UserSecretsClient()
+            secret_response = client.get_gcloud_credential()
+            self.assertEqual(secret_response, secret)
+        self._test_client(call_get_secret,
+                          '/requests/GetUserSecretByLabelRequest', {'Label': "__gcloud_sdk_auth__", 'JWE': _TEST_JWT},
+                          secret=secret)
+
+    def test_get_gcloud_secret_handles_unsuccessful(self):
+        def call_get_secret():
+            client = UserSecretsClient()
+            with self.assertRaises(NotFoundError):
+              secret_response = client.get_gcloud_credential()
+        self._test_client(call_get_secret,
+                          '/requests/GetUserSecretByLabelRequest', {'Label': "__gcloud_sdk_auth__", 'JWE': _TEST_JWT},
+                          success=False)
+
+
     @mock.patch('kaggle_secrets.datetime')
     def test_get_access_token_succeeds(self, mock_dt):
         secret = '12345'

From 054c1b51a32a4c873ff698940981545762b31782 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 5 Jun 2020 22:04:05 +0000
Subject: [PATCH 0992/1660] Add tensorflow-datasets package

This package do not include the datasets. It is merely a
nice interface to load dataset from GCS.

BUG=158329670
---
 Dockerfile            | 1 +
 tests/test_imports.py | 1 +
 2 files changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 10d0cfac..f3fdd56c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -438,6 +438,7 @@ RUN pip install flashtext && \
     # papermill can replace nbconvert for executing notebooks
     pip install papermill && \
     pip install cloud-tpu-client && \
+    pip install tensorflow-datasets && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages
diff --git a/tests/test_imports.py b/tests/test_imports.py
index 783a74cc..39595773 100644
--- a/tests/test_imports.py
+++ b/tests/test_imports.py
@@ -6,3 +6,4 @@ def test_basic(self):
         import bq_helper
         import cleverhans
         import tensorflow_gcs_config
+        import tensorflow_datasets

From c703d3307cc576069678828693f7572412d81572 Mon Sep 17 00:00:00 2001
From: Mark Collins <markcollins@google.com>
Date: Tue, 9 Jun 2020 00:35:31 -0600
Subject: [PATCH 0993/1660] Add support for setting the GCS credential

Set the credential for both the TPU and the local notebook.

https://b.corp.google.com/issues/158133824
---
 patches/kaggle_secrets.py            | 16 ++++++++++++
 tests/test_tensorflow_credentials.py | 37 ++++++++++++++++++++++++++++
 2 files changed, 53 insertions(+)
 create mode 100644 tests/test_tensorflow_credentials.py

diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index 55d3f946..bd99330e 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -7,6 +7,7 @@
 import json
 import os
 import socket
+import tensorflow_gcs_config
 import urllib.request
 from datetime import datetime, timedelta
 from enum import Enum, unique
@@ -135,6 +136,21 @@ def get_gcloud_credential(self) -> str:
             else:
               raise
 
+    def set_tensorflow_credential(self, credential):
+        """Sets the credential for use by Tensorflow both in the local notebook
+        and to pass to the TPU.
+        """
+        # Write to a local JSON credentials file and set
+        # GOOGLE_APPLICATION_CREDENTIALS for tensorflow running in the notebook.
+        adc_path = os.path.join(
+            os.environ.get('HOME', '/'), 'gcloud_credential.json')
+        with open(adc_path, 'w') as f:
+          f.write(credential)
+          os.environ['GOOGLE_APPLICATION_CREDENTIALS']=adc_path
+
+        # set the credential for the TPU
+        tensorflow_gcs_config.configure_gcs(credentials=credential)
+
     def get_bigquery_access_token(self) -> Tuple[str, Optional[datetime]]:
         """Retrieves BigQuery access token information from the UserSecrets service.
 
diff --git a/tests/test_tensorflow_credentials.py b/tests/test_tensorflow_credentials.py
new file mode 100644
index 00000000..42280446
--- /dev/null
+++ b/tests/test_tensorflow_credentials.py
@@ -0,0 +1,37 @@
+import unittest
+
+import os
+import tensorflow_gcs_config
+from unittest.mock import patch
+from test.support import EnvironmentVarGuard
+from kaggle_secrets import UserSecretsClient
+
+class TestTensorflowCredentials(unittest.TestCase):
+
+    @patch('tensorflow_gcs_config.configure_gcs')
+    def test_set_tensorflow_credential(self, mock_configure_gcs):
+        credential = '{"client_id":"fake_client_id",' \
+            '"client_secret":"fake_client_secret",' \
+            '"refresh_token":"not a refresh token",' \
+            '"type":"authorized_user"}';
+
+        env = EnvironmentVarGuard()
+        env.set('HOME', '/tmp')
+        env.set('GOOGLE_APPLICATION_CREDENTIALS', '')
+
+        # These need to be set to make UserSecretsClient happy, but aren't
+        # pertinent to this test.
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'AUTOML')
+
+        user_secrets = UserSecretsClient()
+        user_secrets.set_tensorflow_credential(credential)
+
+        credential_path = '/tmp/gcloud_credential.json'
+        self.assertEqual(
+            credential_path, os.environ['GOOGLE_APPLICATION_CREDENTIALS'])
+        with open(credential_path, 'r') as f:
+          saved_cred = f.read()
+          self.assertEqual(credential, saved_cred)
+
+          mock_configure_gcs.assert_called_with(credentials=credential)

From bd13e722834cb668ffc16d7018b20fe350f9fa09 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 17 Jun 2020 02:37:37 +0000
Subject: [PATCH 0994/1660] Fix allennlp test following major version upgrade

---
 Dockerfile             |  3 +--
 tests/test_allennlp.py | 10 +++++-----
 2 files changed, 6 insertions(+), 7 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index f3fdd56c..312ccade 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -373,8 +373,7 @@ RUN pip install bcolz && \
     pip install fastai && \
     pip install torchtext && \
     pip install allennlp && \
-    # b/149359379 remove once allennlp 1.0 is released which won't cause a spacy downgrade.
-    pip install spacy==2.2.3 && python -m spacy download en && python -m spacy download en_core_web_lg && \
+    python -m spacy download en && python -m spacy download en_core_web_lg && \
     apt-get install -y ffmpeg && \
     /tmp/clean-layer.sh
 
diff --git a/tests/test_allennlp.py b/tests/test_allennlp.py
index 977e62f9..1bc80f2d 100644
--- a/tests/test_allennlp.py
+++ b/tests/test_allennlp.py
@@ -1,15 +1,15 @@
 import unittest
 
-from allennlp.data.tokenizers import WordTokenizer
+from allennlp.data.tokenizers import SpacyTokenizer
 
 
 class TestAllenNlp(unittest.TestCase):
     # reference
     # https://github.com/allenai/allennlp/blob/master/allennlp/tests/data/tokenizers/word_tokenizer_test.py
     def test_passes_through_correctly(self):
-        tokenizer = WordTokenizer(start_tokens=['@@', '%%'], end_tokens=['^^'])
+        tokenizer = SpacyTokenizer()
         sentence = "this (sentence) has 'crazy' \"punctuation\"."
         tokens = [t.text for t in tokenizer.tokenize(sentence)]
-        expected_tokens = ["@@", "%%", "this", "(", "sentence", ")", "has", "'", "crazy", "'", "\"",
-                           "punctuation", "\"", ".", "^^"]
-        assert tokens == expected_tokens
+        expected_tokens = ["this", "(", "sentence", ")", "has", "'", "crazy", "'", "\"",
+                           "punctuation", "\"", "."]
+        self.assertSequenceEqual(tokens, expected_tokens)

From a7dd03ae13c006a59a839a751b8cb8e0e4013c62 Mon Sep 17 00:00:00 2001
From: SohierDane <sohier.dane@gmail.com>
Date: Tue, 16 Jun 2020 21:56:39 +0000
Subject: [PATCH 0995/1660] Add imagecodecs

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index 312ccade..6457d49f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -211,6 +211,7 @@ RUN pip install mpld3 && \
     pip install CVXcanon && \
     pip install fancyimpute && \
     pip install pymc3 && \
+    pip install imagecodecs && \
     pip install tifffile && \
     pip install spectral && \
     pip install descartes && \

From da45c1ad13ba717735d95f2cb1d74a7d9a6dca05 Mon Sep 17 00:00:00 2001
From: SohierDane <sohier.dane@gmail.com>
Date: Tue, 16 Jun 2020 23:07:10 +0000
Subject: [PATCH 0996/1660] Added pydub

added test
---
 Dockerfile          |  1 +
 tests/test_pydub.py | 11 +++++++++++
 2 files changed, 12 insertions(+)
 create mode 100644 tests/test_pydub.py

diff --git a/Dockerfile b/Dockerfile
index 312ccade..b1389bd0 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -438,6 +438,7 @@ RUN pip install flashtext && \
     pip install papermill && \
     pip install cloud-tpu-client && \
     pip install tensorflow-datasets && \
+    pip install pydub && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages
diff --git a/tests/test_pydub.py b/tests/test_pydub.py
new file mode 100644
index 00000000..b3b1d087
--- /dev/null
+++ b/tests/test_pydub.py
@@ -0,0 +1,11 @@
+import unittest
+
+from pydub import AudioSegment
+
+
+class TestPydub(unittest.TestCase):    
+    def test_import(self):
+        sound = AudioSegment.from_file('/input/tests/data/test.wav')
+
+        self.assertEqual(1810, len(sound))
+

From 88af4f27b82e0d8882772977c8838f8b9463be29 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Wed, 17 Jun 2020 12:25:57 -0400
Subject: [PATCH 0997/1660] Improve diff (#840)

---
 diff | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/diff b/diff
index fb828f48..cd0fc732 100755
--- a/diff
+++ b/diff
@@ -94,7 +94,7 @@ if [[ -n "$PACKAGE_NAME" ]]; then
     echo "Package: $PACKAGE_NAME"
     CMDS=("python /tools/pip_list_versions.py $PACKAGE_NAME | sort")
 else
-    CMDS=('dpkg-query --show -f "${Package}==${Version}\n"' 'pip freeze')
+    CMDS=("pip freeze" 'cat /etc/os-release | grep -oP "PRETTY_NAME=\"\K([^\"]*)"' "uname -r" "dpkg --list | awk '{print \$2\"==\"\$3}'")
 fi
 
 for cmd in "${CMDS[@]}"; do

From fbb00e8562f53d4daaf4a6ccfc7918ebcdd6d9fc Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 18 Jun 2020 19:35:21 +0000
Subject: [PATCH 0998/1660] Use Keras LSTM layer.

CuDNNLSTM has been removed.
LSTM uses CuDNN on GPU if available.
---
 tests/test_keras.py | 44 ++++++++++++++++++--------------------------
 1 file changed, 18 insertions(+), 26 deletions(-)

diff --git a/tests/test_keras.py b/tests/test_keras.py
index 8c4a1020..de57de27 100644
--- a/tests/test_keras.py
+++ b/tests/test_keras.py
@@ -5,7 +5,7 @@
 import pandas as pd
 
 from keras.models import Sequential
-from keras.layers import Dense, Dropout, Flatten, Conv2D, MaxPooling2D, CuDNNLSTM
+from keras.layers import Dense, Dropout, Flatten, Conv2D, MaxPooling2D, LSTM
 from keras.optimizers import RMSprop, SGD
 from keras.utils.np_utils import to_categorical
 
@@ -62,29 +62,21 @@ def test_conv2d(self):
         
         model.evaluate(x_test, y_test, batch_size=32)
 
-    # Tensorflow 2.0 doesn't support the contrib package.
-    #
-    # Error:
-    #   from tensorflow.contrib.cudnn_rnn.python.ops import cudnn_rnn_ops
-    # ModuleNotFoundError: No module named 'tensorflow.contrib'
-    #
-    # tf.keras should be used instead until this is fixed.
-    # @gpu_test
-    # def test_cudnn_lstm(self):
-    #     x_train = np.random.random((100, 100, 100))
-    #     y_train = keras.utils.to_categorical(np.random.randint(10, size=(100, 1)), num_classes=10)
-    #     x_test = np.random.random((20, 100, 100))
-    #     y_test = keras.utils.to_categorical(np.random.randint(10, size=(20, 1)), num_classes=10)
-
-    #     sgd = SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
-
-    #     model = Sequential()
-    #     model.add(CuDNNLSTM(32, return_sequences=True, input_shape=(100, 100)))
-    #     model.add(Flatten())
-    #     model.add(Dense(10, activation='softmax'))
-
-
-    #     model.compile(loss='categorical_crossentropy', optimizer=sgd)
-    #     model.fit(x_train, y_train, batch_size=32, epochs=1)
-    #     model.evaluate(x_test, y_test, batch_size=32)
+    def test_lstm(self):
+        x_train = np.random.random((100, 100, 100))
+        y_train = keras.utils.to_categorical(np.random.randint(10, size=(100, 1)), num_classes=10)
+        x_test = np.random.random((20, 100, 100))
+        y_test = keras.utils.to_categorical(np.random.randint(10, size=(20, 1)), num_classes=10)
+
+        sgd = SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
+
+        model = Sequential()
+        model.add(LSTM(32, return_sequences=True, input_shape=(100, 100)))
+        model.add(Flatten())
+        model.add(Dense(10, activation='softmax'))
+
+
+        model.compile(loss='categorical_crossentropy', optimizer=sgd)
+        model.fit(x_train, y_train, batch_size=32, epochs=1)
+        model.evaluate(x_test, y_test, batch_size=32)
 

From b641e32c58e2ff526de8e0701600a70ac4d52c3e Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 17 Jun 2020 16:35:35 +0000
Subject: [PATCH 0999/1660] Remove use of deprecated Renderer.

Warning in the log: "Renderer() deprecated, Please use Scene()instead".
---
 tests/test_dipy.py | 22 ++++++++++------------
 1 file changed, 10 insertions(+), 12 deletions(-)

diff --git a/tests/test_dipy.py b/tests/test_dipy.py
index aeeaaefd..c1827120 100644
--- a/tests/test_dipy.py
+++ b/tests/test_dipy.py
@@ -8,22 +8,20 @@
 from dipy.denoise.enhancement_kernel import EnhancementKernel
 from dipy.tracking.fbcmeasures import FBCMeasures
 from dipy.core.sphere import Sphere
-from dipy.viz import window
-from xvfbwrapper import Xvfb
+from dipy.viz import window, actor
 
 class TestDipy(unittest.TestCase):
-    def test_renderer(self):
-        vdisplay = Xvfb()
-        vdisplay.start()
+    def test_scene(self):
+        xyz = 10 * np.random.rand(100, 3)
+        colors = np.random.rand(100, 4)
+        radii = np.random.rand(100) + 0.5
 
-        ren = window.Renderer()
+        sphere_actor = actor.sphere(centers=xyz, colors=colors, radii=radii)
 
-        with tempfile.TemporaryDirectory() as dir:
-            out_file = os.path.join(dir, 'test.png')
-            window.record(ren, n_frames=1, out_path=out_file, size=(600, 600))
-            self.assertTrue(os.path.exists(out_file))
-
-        vdisplay.stop()
+        scene = window.Scene()
+        scene.add(sphere_actor)
+        
+        self.assertEqual((0, 0), scene.GetSize())
 
     def test_graph(self):
         g = Graph()

From 7609ecbce4bb0961f3ff7dfe6bc9b19a7cf1d19e Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 17 Jun 2020 02:29:28 +0000
Subject: [PATCH 1000/1660] Add tif codec test.

---
 tests/test_skimage.py | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/tests/test_skimage.py b/tests/test_skimage.py
index 4a53b12e..d9ec71d9 100644
--- a/tests/test_skimage.py
+++ b/tests/test_skimage.py
@@ -1,8 +1,13 @@
 import unittest
 
-from skimage import data, filters
+from skimage import data, filters, io
 
 class TestSkImage(unittest.TestCase):
     def test_filter(self):
         image = data.coins()
         filters.sobel(image)
+
+    def test_codecs(self):
+        img = io.MultiImage('/input/tests/data/test.tif')
+        
+        self.assertEqual((10, 10, 4), img[0].shape)
\ No newline at end of file

From 199c7b22df39f538981a1f9b54b31c251a88ca02 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 19 Jun 2020 22:17:26 +0000
Subject: [PATCH 1001/1660] Remove redundant opencv-python pip command.

This package is already part of our base image.
---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 24bf2132..579285ec 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -341,7 +341,6 @@ RUN pip install bcolz && \
     pip install nbformat && \
     pip install notebook==5.5.0 && \
     pip install olefile && \
-    pip install opencv-python && \
     pip install kornia && \
     pip install pandas_summary && \
     pip install pandocfilters && \

From 8cf1f25c25cbfefaa5bcae78c1df96c9bae3f3d5 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 30 Jun 2020 14:34:38 -0700
Subject: [PATCH 1002/1660] Use latest version of Pillow

The base image includes Pillow 7.1.0 which has a known issue: https://github.com/python-pillow/Pillow/issues/4518

This is causing the skimage test to fail.

BUG=160263325
---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 579285ec..e024db87 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -346,7 +346,8 @@ RUN pip install bcolz && \
     pip install pandocfilters && \
     pip install pexpect && \
     pip install pickleshare && \
-    pip install Pillow && \
+    # b/160263325: the version included in the m46 base image has a known issue.
+    pip install --upgrade Pillow && \
     # Install openslide and its python binding
     apt-get install -y openslide-tools && \
     # b/152402322 install latest from pip once is in: https://github.com/openslide/openslide-python/pull/76

From 222aa2fca6c535cc07a0e50dea939f9dcc2df6a7 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 1 Jul 2020 00:13:43 +0000
Subject: [PATCH 1003/1660] Delay tensorflow_gcs_config import

---
 patches/kaggle_secrets.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index bd99330e..1ee81f78 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -7,7 +7,6 @@
 import json
 import os
 import socket
-import tensorflow_gcs_config
 import urllib.request
 from datetime import datetime, timedelta
 from enum import Enum, unique
@@ -140,6 +139,9 @@ def set_tensorflow_credential(self, credential):
         """Sets the credential for use by Tensorflow both in the local notebook
         and to pass to the TPU.
         """
+        # b/159906185: Import tensorflow_gcs_config only when this method is called to prevent preloading TensorFlow.
+        import tensorflow_gcs_config
+
         # Write to a local JSON credentials file and set
         # GOOGLE_APPLICATION_CREDENTIALS for tensorflow running in the notebook.
         adc_path = os.path.join(

From e501a61b2095ad682c2c0dbaa074ec3f9ebb9772 Mon Sep 17 00:00:00 2001
From: William Cukierski <wcukierski@google.com>
Date: Wed, 15 Jul 2020 22:20:12 +0000
Subject: [PATCH 1004/1660] Adding pydegensac

---
 Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile b/Dockerfile
index e024db87..08f08a0e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -440,6 +440,7 @@ RUN pip install flashtext && \
     pip install cloud-tpu-client && \
     pip install tensorflow-datasets && \
     pip install pydub && \
+    pip install pydegensac && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages

From 811253d328132dbe2c62da1bece464e77330ac20 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 16 Jul 2020 16:11:28 +0000
Subject: [PATCH 1005/1660] Add pydegensac test

---
 tests/test_pydegensac.py | 18 ++++++++++++++++++
 1 file changed, 18 insertions(+)
 create mode 100644 tests/test_pydegensac.py

diff --git a/tests/test_pydegensac.py b/tests/test_pydegensac.py
new file mode 100644
index 00000000..be72b53e
--- /dev/null
+++ b/tests/test_pydegensac.py
@@ -0,0 +1,18 @@
+import unittest
+
+import pydegensac
+import numpy as np
+
+
+class TestPydegensac(unittest.TestCase):
+    def test_find_homography(self):
+        src_pts = np.float32([ [0,0],[0,1],[1,1],[1,0] ]).reshape(-1,2)
+        dst_pts = np.float32([ [0,0],[0,-1],[-1,-1],[-1,0] ]).reshape(-1,2)
+
+        H, mask = pydegensac.findHomography(src_pts, dst_pts, 4, 1)
+
+        self.assertEqual(3, len(H))
+        self.assertEqual(4, len(mask))
+
+
+

From 70c23ff546e63604c1de0f54384a38660e58b255 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 16 Jul 2020 21:28:50 +0000
Subject: [PATCH 1006/1660] Ensures pysal >= 2.1.0 is installed.

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 08f08a0e..8037a3cc 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -43,7 +43,8 @@ RUN conda config --add channels conda-forge && \
     conda config --add channels pytorch && \
     conda config --add channels rapidsai && \
     # ^ rapidsai is the highest priority channel, default lowest, conda-forge 2nd lowest.
-    conda install matplotlib basemap cartopy python-igraph imagemagick pysal && \
+    # b/161473620 pin required to prevent resolver from picking pysal 1.x.
+    conda install matplotlib basemap cartopy python-igraph imagemagick "pysal>=2.1.0" && \
     # b/142337634#comment22 pin required to avoid torchaudio downgrade.
     conda install "pytorch>=1.5.0" "torchvision>=0.6.0" "torchaudio>=0.5.0" cpuonly && \
     /tmp/clean-layer.sh

From ba6f6f5efccc4ec1780019f36e1fcf05a7e43c50 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 22 Jul 2020 11:32:15 -0700
Subject: [PATCH 1007/1660] Increase timeout for CPU build step

---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 2b387fa5..b6596021 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -22,7 +22,7 @@ pipeline {
   stages {
     stage('Docker CPU Build') {
       options {
-        timeout(time: 90, unit: 'MINUTES')
+        timeout(time: 120, unit: 'MINUTES')
       }
       steps {
         sh '''#!/bin/bash

From 07a1d206e42eccca5041d6d5358ca0f6a4ea48ca Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@google.com>
Date: Wed, 22 Jul 2020 11:32:58 -0700
Subject: [PATCH 1008/1660] Add X-Kaggle-Authorization header

---
 patches/kaggle_web_client.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/patches/kaggle_web_client.py b/patches/kaggle_web_client.py
index bc392ff1..46205c2e 100644
--- a/patches/kaggle_web_client.py
+++ b/patches/kaggle_web_client.py
@@ -26,6 +26,7 @@ def __init__(self):
         self.headers = {
             'Content-type': 'application/json',
             'Authorization': f'Bearer {self.jwt_token}',
+            'X-Kaggle-Authorization': f'Bearer {self.jwt_token}',
         }
 
     def make_post_request(self, data: dict, endpoint: str) -> dict:

From 3290b66cb300348dbc7632fca561ba0b18e7b418 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 22 Jul 2020 16:46:43 +0000
Subject: [PATCH 1009/1660] Pin pysal to 2.1.0

2.2.0 uses the network to download dataset on import which
is causing the unit test to fail (network access not permitted).

BUG=161473620
---
 Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 8037a3cc..d6b0604e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -43,8 +43,8 @@ RUN conda config --add channels conda-forge && \
     conda config --add channels pytorch && \
     conda config --add channels rapidsai && \
     # ^ rapidsai is the highest priority channel, default lowest, conda-forge 2nd lowest.
-    # b/161473620 pin required to prevent resolver from picking pysal 1.x.
-    conda install matplotlib basemap cartopy python-igraph imagemagick "pysal>=2.1.0" && \
+    # 161473620#comment7 pin required to prevent resolver from picking pysal 1.x., pysal 2.2.x is also downloading data on import.
+    conda install matplotlib basemap cartopy python-igraph imagemagick "pysal==2.1.0" && \
     # b/142337634#comment22 pin required to avoid torchaudio downgrade.
     conda install "pytorch>=1.5.0" "torchvision>=0.6.0" "torchaudio>=0.5.0" cpuonly && \
     /tmp/clean-layer.sh

From a8e7f4793ab792cfa5694bbe7c534eeb39dd3360 Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@google.com>
Date: Wed, 22 Jul 2020 17:54:06 -0700
Subject: [PATCH 1010/1660] Use kaggle-web-client for kaggle_secrets

---
 patches/kaggle_secrets.py    | 68 +++---------------------------------
 patches/kaggle_web_client.py | 23 ++++++++----
 2 files changed, 21 insertions(+), 70 deletions(-)

diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index 1ee81f78..802fde20 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -4,31 +4,12 @@
 (ie. BigQuery).
 """
 
-import json
 import os
-import socket
-import urllib.request
 from datetime import datetime, timedelta
 from enum import Enum, unique
 from typing import Optional, Tuple
-from urllib.error import HTTPError, URLError
-
-_KAGGLE_DEFAULT_URL_BASE = "https://www.kaggle.com"
-_KAGGLE_URL_BASE_ENV_VAR_NAME = "KAGGLE_URL_BASE"
-_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME = "KAGGLE_USER_SECRETS_TOKEN"
-TIMEOUT_SECS = 40
-
-
-class CredentialError(Exception):
-    pass
-
-
-class BackendError(Exception):
-    pass
-
-
-class ValidationError(Exception):
-    pass
+from kaggle_web_client import KaggleWebClient
+from kaggle_web_client import (CredentialError, BackendError, ValidationError)
 
 class NotFoundError(Exception):
     pass
@@ -56,48 +37,9 @@ def service(self):
 class UserSecretsClient():
     GET_USER_SECRET_ENDPOINT = '/requests/GetUserSecretRequest'
     GET_USER_SECRET_BY_LABEL_ENDPOINT = '/requests/GetUserSecretByLabelRequest'
-    BIGQUERY_TARGET_VALUE = 1
 
     def __init__(self):
-        url_base_override = os.getenv(_KAGGLE_URL_BASE_ENV_VAR_NAME)
-        self.url_base = url_base_override or _KAGGLE_DEFAULT_URL_BASE
-        # Follow the OAuth 2.0 Authorization standard (https://tools.ietf.org/html/rfc6750)
-        self.jwt_token = os.getenv(_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME)
-        if self.jwt_token is None:
-            raise CredentialError(
-                'A JWT Token is required to use the UserSecretsClient, '
-                f'but none found in environment variable {_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME}')
-        self.headers = {'Content-type': 'application/json'}
-
-    def _make_post_request(self, data: dict, endpoint: str = GET_USER_SECRET_ENDPOINT) -> dict:
-        # TODO(b/148309982) This code and the code in the constructor should be
-        # removed and this class should use the new KaggleWebClient class instead.
-        url = f'{self.url_base}{endpoint}'
-        request_body = dict(data)
-        request_body['JWE'] = self.jwt_token
-        req = urllib.request.Request(url, headers=self.headers, data=bytes(
-            json.dumps(request_body), encoding="utf-8"))
-        try:
-            with urllib.request.urlopen(req, timeout=TIMEOUT_SECS) as response:
-                response_json = json.loads(response.read())
-                if not response_json.get('wasSuccessful') or 'result' not in response_json:
-                    raise BackendError(
-                        f'Unexpected response from the service. Response: {response_json}.')
-                return response_json['result']
-        except (URLError, socket.timeout) as e:
-            if isinstance(
-                    e, socket.timeout) or isinstance(
-                    e.reason, socket.timeout):
-                raise ConnectionError(
-                    'Timeout error trying to communicate with service. Please ensure internet is on.') from e
-            raise ConnectionError(
-                'Connection error trying to communicate with service.') from e
-        except HTTPError as e:
-            if e.code == 401 or e.code == 403:
-                raise CredentialError(
-                    f'Service responded with error code {e.code}.'
-                    ' Please ensure you have access to the resource.') from e
-            raise BackendError('Unexpected response from the service.') from e
+        self.web_client = KaggleWebClient()
 
     def get_secret(self, label) -> str:
         """Retrieves a user secret value by its label.
@@ -113,7 +55,7 @@ def get_secret(self, label) -> str:
         request_body = {
             'Label': label,
         }
-        response_json = self._make_post_request(request_body, self.GET_USER_SECRET_BY_LABEL_ENDPOINT)
+        response_json = self.web_client.make_post_request(request_body, self.GET_USER_SECRET_BY_LABEL_ENDPOINT)
         if 'secret' not in response_json:
             raise BackendError(
                 f'Unexpected response from the service. Response: {response_json}')
@@ -174,7 +116,7 @@ def _get_access_token(self, target: GcpTarget) -> Tuple[str, Optional[datetime]]
         request_body = {
             'Target': target.target
         }
-        response_json = self._make_post_request(request_body)
+        response_json = self.web_client.make_post_request(request_body, self.GET_USER_SECRET_ENDPOINT)
         if 'secret' not in response_json:
             raise BackendError(
                 f'Unexpected response from the service. Response: {response_json}')
diff --git a/patches/kaggle_web_client.py b/patches/kaggle_web_client.py
index 46205c2e..bdeaae5d 100644
--- a/patches/kaggle_web_client.py
+++ b/patches/kaggle_web_client.py
@@ -2,14 +2,23 @@
 import os
 import socket
 import urllib.request
-from datetime import datetime, timedelta
-from enum import Enum, unique
-from typing import Optional, Tuple
 from urllib.error import HTTPError, URLError
-from kaggle_secrets import (_KAGGLE_DEFAULT_URL_BASE,
-                            _KAGGLE_URL_BASE_ENV_VAR_NAME,
-                            _KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME,
-                            CredentialError, BackendError, ValidationError)
+
+_KAGGLE_DEFAULT_URL_BASE = "https://www.kaggle.com"
+_KAGGLE_URL_BASE_ENV_VAR_NAME = "KAGGLE_URL_BASE"
+_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME = "KAGGLE_USER_SECRETS_TOKEN"
+TIMEOUT_SECS = 40
+
+class CredentialError(Exception):
+    pass
+
+
+class BackendError(Exception):
+    pass
+
+
+class ValidationError(Exception):
+    pass
 
 class KaggleWebClient:
     TIMEOUT_SECS = 600

From 4e076475a33893483bc027b10e527e353f6a2f35 Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@google.com>
Date: Wed, 22 Jul 2020 18:28:19 -0700
Subject: [PATCH 1011/1660] Fix tests

---
 tests/test_datasets.py     | 4 ++--
 tests/test_user_secrets.py | 7 ++++---
 2 files changed, 6 insertions(+), 5 deletions(-)

diff --git a/tests/test_datasets.py b/tests/test_datasets.py
index e956738c..e6592272 100644
--- a/tests/test_datasets.py
+++ b/tests/test_datasets.py
@@ -6,10 +6,10 @@
 from test.support import EnvironmentVarGuard
 from urllib.parse import urlparse
 
-from kaggle_secrets import (_KAGGLE_URL_BASE_ENV_VAR_NAME,
+from kaggle_web_client import (KaggleWebClient,
+                            _KAGGLE_URL_BASE_ENV_VAR_NAME,
                             _KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME,
                             CredentialError, BackendError, ValidationError)
-from kaggle_web_client import KaggleWebClient
 from kaggle_datasets import KaggleDatasets, _KAGGLE_TPU_NAME_ENV_VAR_NAME
 
 _TEST_JWT = 'test-secrets-key'
diff --git a/tests/test_user_secrets.py b/tests/test_user_secrets.py
index 748cb652..12c02105 100644
--- a/tests/test_user_secrets.py
+++ b/tests/test_user_secrets.py
@@ -10,10 +10,11 @@
 
 from google.auth.exceptions import DefaultCredentialsError
 from google.cloud import bigquery
-from kaggle_secrets import (_KAGGLE_URL_BASE_ENV_VAR_NAME,
+from kaggle_secrets import (GcpTarget, UserSecretsClient,
+                            NotFoundError)
+from kaggle_web_client import (_KAGGLE_URL_BASE_ENV_VAR_NAME,
                             _KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME,
-                            CredentialError, GcpTarget, UserSecretsClient,
-                            BackendError, NotFoundError, ValidationError)
+                            CredentialError, BackendError, ValidationError)
 
 _TEST_JWT = 'test-secrets-key'
 

From 2259a073cae511afcc8a30f1026d5f76ecf2846b Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@google.com>
Date: Thu, 23 Jul 2020 09:22:03 -0700
Subject: [PATCH 1012/1660] Move timeout

---
 patches/kaggle_datasets.py   | 3 ++-
 patches/kaggle_secrets.py    | 5 ++++-
 patches/kaggle_web_client.py | 8 ++------
 tests/test_datasets.py       | 2 +-
 tests/test_user_secrets.py   | 4 ++--
 5 files changed, 11 insertions(+), 11 deletions(-)

diff --git a/patches/kaggle_datasets.py b/patches/kaggle_datasets.py
index 654e025f..f5134673 100644
--- a/patches/kaggle_datasets.py
+++ b/patches/kaggle_datasets.py
@@ -5,6 +5,7 @@
 
 class KaggleDatasets:
     GET_GCS_PATH_ENDPOINT = '/requests/CopyDatasetVersionToKnownGcsBucketRequest'
+    TIMEOUT_SECS = 600
 
     # Integration types for GCS
     AUTO_ML = 1
@@ -20,5 +21,5 @@ def get_gcs_path(self, dataset_dir: str = None) -> str:
             'MountSlug': dataset_dir,
             'IntegrationType': integration_type,
         }
-        result = self.web_client.make_post_request(data, self.GET_GCS_PATH_ENDPOINT)
+        result = self.web_client.make_post_request(data, self.GET_GCS_PATH_ENDPOINT, self.TIMEOUT_SECS)
         return result['destinationBucket']
diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index 802fde20..a52896b0 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -9,7 +9,10 @@
 from enum import Enum, unique
 from typing import Optional, Tuple
 from kaggle_web_client import KaggleWebClient
-from kaggle_web_client import (CredentialError, BackendError, ValidationError)
+from kaggle_web_client import (CredentialError, BackendError)
+
+class ValidationError(Exception):
+    pass
 
 class NotFoundError(Exception):
     pass
diff --git a/patches/kaggle_web_client.py b/patches/kaggle_web_client.py
index bdeaae5d..5b6463ed 100644
--- a/patches/kaggle_web_client.py
+++ b/patches/kaggle_web_client.py
@@ -17,11 +17,7 @@ class BackendError(Exception):
     pass
 
 
-class ValidationError(Exception):
-    pass
-
 class KaggleWebClient:
-    TIMEOUT_SECS = 600
 
     def __init__(self):
         url_base_override = os.getenv(_KAGGLE_URL_BASE_ENV_VAR_NAME)
@@ -38,14 +34,14 @@ def __init__(self):
             'X-Kaggle-Authorization': f'Bearer {self.jwt_token}',
         }
 
-    def make_post_request(self, data: dict, endpoint: str) -> dict:
+    def make_post_request(self, data: dict, endpoint: str, timeout: int = TIMEOUT_SECS) -> dict:
         url = f'{self.url_base}{endpoint}'
         request_body = dict(data)
         request_body['JWE'] = self.jwt_token
         req = urllib.request.Request(url, headers=self.headers, data=bytes(
             json.dumps(request_body), encoding="utf-8"))
         try:
-            with urllib.request.urlopen(req, timeout=self.TIMEOUT_SECS) as response:
+            with urllib.request.urlopen(req, timeout=timeout) as response:
                 response_json = json.loads(response.read())
                 if not response_json.get('wasSuccessful') or 'result' not in response_json:
                     raise BackendError(
diff --git a/tests/test_datasets.py b/tests/test_datasets.py
index e6592272..54516318 100644
--- a/tests/test_datasets.py
+++ b/tests/test_datasets.py
@@ -9,7 +9,7 @@
 from kaggle_web_client import (KaggleWebClient,
                             _KAGGLE_URL_BASE_ENV_VAR_NAME,
                             _KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME,
-                            CredentialError, BackendError, ValidationError)
+                            CredentialError, BackendError)
 from kaggle_datasets import KaggleDatasets, _KAGGLE_TPU_NAME_ENV_VAR_NAME
 
 _TEST_JWT = 'test-secrets-key'
diff --git a/tests/test_user_secrets.py b/tests/test_user_secrets.py
index 12c02105..c9c77693 100644
--- a/tests/test_user_secrets.py
+++ b/tests/test_user_secrets.py
@@ -11,10 +11,10 @@
 from google.auth.exceptions import DefaultCredentialsError
 from google.cloud import bigquery
 from kaggle_secrets import (GcpTarget, UserSecretsClient,
-                            NotFoundError)
+                            NotFoundError, ValidationError)
 from kaggle_web_client import (_KAGGLE_URL_BASE_ENV_VAR_NAME,
                             _KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME,
-                            CredentialError, BackendError, ValidationError)
+                            CredentialError, BackendError)
 
 _TEST_JWT = 'test-secrets-key'
 

From a65b6b3519f32ca4a51b797f6647e99f4a4b25ed Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 28 Jul 2020 16:20:41 +0000
Subject: [PATCH 1013/1660] Update bazel and tensorflow version

---
 tensorflow-whl/CHANGELOG.md | 3 ++-
 tensorflow-whl/Dockerfile   | 4 ++--
 2 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index 90179047..a8dc173f 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -15,4 +15,5 @@
 * `2.1.0-py37-2`: TensorFlow 2.1.0 with Python 3.7 & DLVM base image.
 * `2.1.0-py37-3`: TensorFlow 2.1.0 with Python 3.7, DLVM base image, tensorflow-gcs-config.
 * `2.2.0-py37`: TensorFlow 2.2.0 with Python 3.7.
-* `2.2.0-py37-2`: TensorFlow 2.2.0 with Python 3.7 & TFA.
\ No newline at end of file
+* `2.2.0-py37-2`: TensorFlow 2.2.0 with Python 3.7 & TFA.
+* `2.3.0-py37`: TensorFlow 2.3.0 with Python.
\ No newline at end of file
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index a2cbc582..a7d4f972 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -53,7 +53,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
 RUN pip install --upgrade pip
 
 # See _TF_(MIN|MAX)_BAZEL_VERSION at https://github.com/tensorflow/tensorflow/blob/master/configure.py.
-ENV BAZEL_VERSION=2.0.0
+ENV BAZEL_VERSION=3.1.0
 RUN apt-get install -y gnupg zip openjdk-8-jdk && \
     apt-get install -y --no-install-recommends \
       bash-completion \
@@ -66,7 +66,7 @@ RUN apt-get install -y gnupg zip openjdk-8-jdk && \
 RUN cd /usr/local/src && \
     git clone https://github.com/tensorflow/tensorflow && \
     cd tensorflow && \
-    git checkout tags/v2.2.0 && \
+    git checkout tags/v2.3.0 && \
     pip install keras_applications --no-deps && \
     pip install keras_preprocessing --no-deps
 

From d8ea12e15f4159a550802ff615056d5cf62ca063 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 28 Jul 2020 23:32:54 +0000
Subject: [PATCH 1014/1660] Pin pytorch & torch* libs.

pytorch 1.6 was released. However, a new version of torchaudio
hasn't been released yet which is causing runtime errors:

```
OSError: /opt/conda/lib/python3.7/site-packages/torchaudio/_torchaudio.so: undefined symbol: _ZNK2at6Tensor6deviceEv
```

BUG=162357958
---
 Dockerfile     | 4 ++--
 gpu.Dockerfile | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index d6b0604e..220119d0 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -46,7 +46,8 @@ RUN conda config --add channels conda-forge && \
     # 161473620#comment7 pin required to prevent resolver from picking pysal 1.x., pysal 2.2.x is also downloading data on import.
     conda install matplotlib basemap cartopy python-igraph imagemagick "pysal==2.1.0" && \
     # b/142337634#comment22 pin required to avoid torchaudio downgrade.
-    conda install "pytorch>=1.5.0" "torchvision>=0.6.0" "torchaudio>=0.5.0" cpuonly && \
+    # b/162357958##comment7 Upgrade once new versions of torch* libs are released for pytorch 1.6.
+    conda install "pytorch=1.5" "torchvision=0.6" "torchaudio=0.5" "torchtext=0.6" cpuonly && \
     /tmp/clean-layer.sh
 
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
@@ -373,7 +374,6 @@ RUN pip install bcolz && \
     pip install pyarrow && \
     pip install feather-format && \
     pip install fastai && \
-    pip install torchtext && \
     pip install allennlp && \
     python -m spacy download en && python -m spacy download en_core_web_lg && \
     apt-get install -y ffmpeg && \
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index bef55476..ecc21709 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -61,7 +61,7 @@ RUN apt-get install -y ocl-icd-libopencl1 clinfo libboost-all-dev && \
 # However, because this image is based on the CPU image, this isn't possible but better
 # to put them at the top of this file to minize conflicts.
 RUN conda remove --force -y pytorch torchvision torchaudio cpuonly && \
-    conda install "pytorch>=1.5.0" "torchvision>=0.6.0" "torchaudio>=0.5.0" cudatoolkit=$CUDA_VERSION && \
+    conda install "pytorch=1.5" "torchvision=0.6" "torchaudio=0.5" "torchtext=0.6" cudatoolkit=$CUDA_VERSION && \
     /tmp/clean-layer.sh
 
 # Install LightGBM with GPU

From bc50d25b6b322be1ea77fbbb91fc9292968c485b Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 29 Jul 2020 20:39:17 +0000
Subject: [PATCH 1015/1660] Use TensorFlow 2.3.0 wheels.

PR creating the TensorFlow 2.3.0 whl: #857.

BUG=161805280
---
 Dockerfile     | 4 ++--
 gpu.Dockerfile | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 220119d0..245a2edc 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,8 +1,8 @@
 # b/157908450 set to latest once numba 0.49.x fixes performance regression for datashader.
 ARG BASE_TAG=m46
-ARG TENSORFLOW_VERSION=2.2.0
+ARG TENSORFLOW_VERSION=2.3.0
 
-FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37-2 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37 as tensorflow_whl
 FROM gcr.io/deeplearning-platform-release/base-cpu:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index ecc21709..dc011047 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=staging
 
 FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04 AS nvidia
-FROM gcr.io/kaggle-images/python-tensorflow-whl:2.2.0-py37-2 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:2.3.0-py37 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh

From 03e79c06a54bac37551c7e3d60ceec6bb0b9fddf Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@users.noreply.github.com>
Date: Thu, 13 Aug 2020 13:27:20 -0700
Subject: [PATCH 1016/1660] Remove JWE from Authorization header and from the
 request body. (#861)

The JWE should now be passed exclusively in X-Kaggle-Authorization header.

http://b/148309982
---
 patches/kaggle_web_client.py |  2 --
 tests/test_datasets.py       | 14 +++++++-------
 tests/test_user_secrets.py   | 14 +++++++-------
 3 files changed, 14 insertions(+), 16 deletions(-)

diff --git a/patches/kaggle_web_client.py b/patches/kaggle_web_client.py
index 5b6463ed..66d8c13c 100644
--- a/patches/kaggle_web_client.py
+++ b/patches/kaggle_web_client.py
@@ -30,14 +30,12 @@ def __init__(self):
                 f'but none found in environment variable {_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME}')
         self.headers = {
             'Content-type': 'application/json',
-            'Authorization': f'Bearer {self.jwt_token}',
             'X-Kaggle-Authorization': f'Bearer {self.jwt_token}',
         }
 
     def make_post_request(self, data: dict, endpoint: str, timeout: int = TIMEOUT_SECS) -> dict:
         url = f'{self.url_base}{endpoint}'
         request_body = dict(data)
-        request_body['JWE'] = self.jwt_token
         req = urllib.request.Request(url, headers=self.headers, data=bytes(
             json.dumps(request_body), encoding="utf-8"))
         try:
diff --git a/tests/test_datasets.py b/tests/test_datasets.py
index 54516318..02ffee6e 100644
--- a/tests/test_datasets.py
+++ b/tests/test_datasets.py
@@ -85,10 +85,10 @@ def get_response(self):
                     msg="Fake server did not receive a Content-Type header from the KaggleDatasets client.")
                 self.assertEqual('application/json', headers.get('Content-Type'),
                     msg="Fake server did not receive an application/json content type header from the KaggleDatasets client.")
-                self.assertIn('Authorization', headers.keys(),
-                    msg="Fake server did not receive an Authorization header from the KaggleDatasets client.")
-                self.assertEqual(f'Bearer {_TEST_JWT}', headers.get('Authorization'),
-                    msg="Fake server did not receive the right Authorization header from the KaggleDatasets client.")
+                self.assertIn('X-Kaggle-Authorization', headers.keys(),
+                    msg="Fake server did not receive an X-Kaggle-Authorization header from the KaggleDatasets client.")
+                self.assertEqual(f'Bearer {_TEST_JWT}', headers.get('X-Kaggle-Authorization'),
+                    msg="Fake server did not receive the right X-Kaggle-Authorization header from the KaggleDatasets client.")
 
     def test_no_token_fails(self):
         env = EnvironmentVarGuard()
@@ -104,7 +104,7 @@ def call_get_gcs_path():
             self.assertEqual(gcs_path, _TPU_GCS_BUCKET)
         self._test_client(call_get_gcs_path,
                           '/requests/CopyDatasetVersionToKnownGcsBucketRequest',
-                          {'MountSlug': None, 'IntegrationType': 2, 'JWE': _TEST_JWT},
+                          {'MountSlug': None, 'IntegrationType': 2},
                           is_tpu=True)
 
     def test_get_gcs_path_automl_succeeds(self):
@@ -114,7 +114,7 @@ def call_get_gcs_path():
             self.assertEqual(gcs_path, _AUTOML_GCS_BUCKET)
         self._test_client(call_get_gcs_path,
                           '/requests/CopyDatasetVersionToKnownGcsBucketRequest',
-                          {'MountSlug': None, 'IntegrationType': 1, 'JWE': _TEST_JWT},
+                          {'MountSlug': None, 'IntegrationType': 1},
                           is_tpu=False)
 
     def test_get_gcs_path_handles_unsuccessful(self):
@@ -124,6 +124,6 @@ def call_get_gcs_path():
                 gcs_path = client.get_gcs_path()
         self._test_client(call_get_gcs_path,
                           '/requests/CopyDatasetVersionToKnownGcsBucketRequest',
-                          {'MountSlug': None, 'IntegrationType': 2, 'JWE': _TEST_JWT},
+                          {'MountSlug': None, 'IntegrationType': 2},
                           is_tpu=True,
                           success=False)
diff --git a/tests/test_user_secrets.py b/tests/test_user_secrets.py
index c9c77693..6b0c5ffe 100644
--- a/tests/test_user_secrets.py
+++ b/tests/test_user_secrets.py
@@ -94,7 +94,7 @@ def call_get_secret():
             secret_response = client.get_secret("secret_label")
             self.assertEqual(secret_response, secret)
         self._test_client(call_get_secret,
-                          '/requests/GetUserSecretByLabelRequest', {'Label': "secret_label", 'JWE': _TEST_JWT},
+                          '/requests/GetUserSecretByLabelRequest', {'Label': "secret_label"},
                           secret=secret)
 
     def test_get_secret_handles_unsuccessful(self):
@@ -103,7 +103,7 @@ def call_get_secret():
             with self.assertRaises(BackendError):
                 secret_response = client.get_secret("secret_label")
         self._test_client(call_get_secret,
-                          '/requests/GetUserSecretByLabelRequest', {'Label': "secret_label", 'JWE': _TEST_JWT},
+                          '/requests/GetUserSecretByLabelRequest', {'Label': "secret_label"},
                           success=False)
 
     def test_get_secret_validates_label(self):
@@ -122,7 +122,7 @@ def call_get_secret():
             secret_response = client.get_gcloud_credential()
             self.assertEqual(secret_response, secret)
         self._test_client(call_get_secret,
-                          '/requests/GetUserSecretByLabelRequest', {'Label': "__gcloud_sdk_auth__", 'JWE': _TEST_JWT},
+                          '/requests/GetUserSecretByLabelRequest', {'Label': "__gcloud_sdk_auth__"},
                           secret=secret)
 
     def test_get_gcloud_secret_handles_unsuccessful(self):
@@ -131,7 +131,7 @@ def call_get_secret():
             with self.assertRaises(NotFoundError):
               secret_response = client.get_gcloud_credential()
         self._test_client(call_get_secret,
-                          '/requests/GetUserSecretByLabelRequest', {'Label': "__gcloud_sdk_auth__", 'JWE': _TEST_JWT},
+                          '/requests/GetUserSecretByLabelRequest', {'Label': "__gcloud_sdk_auth__"},
                           success=False)
 
 
@@ -150,10 +150,10 @@ def call_get_gcs_access_token():
             secret_response = client._get_gcs_access_token()
             self.assertEqual(secret_response, (secret, now + timedelta(seconds=3600)))
         self._test_client(call_get_bigquery_access_token,
-                          '/requests/GetUserSecretRequest', {'Target': GcpTarget.BIGQUERY.target, 'JWE': _TEST_JWT},
+                          '/requests/GetUserSecretRequest', {'Target': GcpTarget.BIGQUERY.target},
                           secret=secret)
         self._test_client(call_get_gcs_access_token,
-                          '/requests/GetUserSecretRequest', {'Target': GcpTarget.GCS.target, 'JWE': _TEST_JWT},
+                          '/requests/GetUserSecretRequest', {'Target': GcpTarget.GCS.target},
                           secret=secret)
 
     def test_get_access_token_handles_unsuccessful(self):
@@ -162,4 +162,4 @@ def call_get_access_token():
             with self.assertRaises(BackendError):
                 client.get_bigquery_access_token()
         self._test_client(call_get_access_token,
-                          '/requests/GetUserSecretRequest', {'Target': GcpTarget.BIGQUERY.target, 'JWE': _TEST_JWT}, success=False)
+                          '/requests/GetUserSecretRequest', {'Target': GcpTarget.BIGQUERY.target}, success=False)

From 584e25d2362bdaea3e4c55fd8c476285e03fd528 Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@users.noreply.github.com>
Date: Mon, 17 Aug 2020 13:16:49 -0700
Subject: [PATCH 1017/1660] Add IAP token into header (#862)

The token will be injected from the mid-tier in appropriate environment.

http://b/158655418
---
 patches/kaggle_web_client.py |  4 ++++
 tests/test_datasets.py       | 21 ++++++++++++++++++++-
 2 files changed, 24 insertions(+), 1 deletion(-)

diff --git a/patches/kaggle_web_client.py b/patches/kaggle_web_client.py
index 66d8c13c..f7b7ae8b 100644
--- a/patches/kaggle_web_client.py
+++ b/patches/kaggle_web_client.py
@@ -7,6 +7,7 @@
 _KAGGLE_DEFAULT_URL_BASE = "https://www.kaggle.com"
 _KAGGLE_URL_BASE_ENV_VAR_NAME = "KAGGLE_URL_BASE"
 _KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME = "KAGGLE_USER_SECRETS_TOKEN"
+_KAGGLE_IAP_TOKEN_ENV_VAR_NAME = "KAGGLE_IAP_TOKEN"
 TIMEOUT_SECS = 40
 
 class CredentialError(Exception):
@@ -32,6 +33,9 @@ def __init__(self):
             'Content-type': 'application/json',
             'X-Kaggle-Authorization': f'Bearer {self.jwt_token}',
         }
+        iap_token = os.getenv(_KAGGLE_IAP_TOKEN_ENV_VAR_NAME)
+        if iap_token:
+          self.headers['Authorization'] = f'Bearer {iap_token}'
 
     def make_post_request(self, data: dict, endpoint: str, timeout: int = TIMEOUT_SECS) -> dict:
         url = f'{self.url_base}{endpoint}'
diff --git a/tests/test_datasets.py b/tests/test_datasets.py
index 02ffee6e..029a4570 100644
--- a/tests/test_datasets.py
+++ b/tests/test_datasets.py
@@ -9,10 +9,12 @@
 from kaggle_web_client import (KaggleWebClient,
                             _KAGGLE_URL_BASE_ENV_VAR_NAME,
                             _KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME,
+                            _KAGGLE_IAP_TOKEN_ENV_VAR_NAME,
                             CredentialError, BackendError)
 from kaggle_datasets import KaggleDatasets, _KAGGLE_TPU_NAME_ENV_VAR_NAME
 
 _TEST_JWT = 'test-secrets-key'
+_TEST_IAP = 'IAP_TOKEN'
 
 _TPU_GCS_BUCKET = 'gs://kds-tpu-ea1971a458ffd4cd51389e7574c022ecc0a82bb1b52ccef08c8a'
 _AUTOML_GCS_BUCKET = 'gs://kds-automl-ea1971a458ffd4cd51389e7574c022ecc0a82bb1b52ccef08c8a'
@@ -39,7 +41,7 @@ def do_POST(s):
 class TestDatasets(unittest.TestCase):
     SERVER_ADDRESS = urlparse(os.getenv(_KAGGLE_URL_BASE_ENV_VAR_NAME, default="http://127.0.0.1:8001"))
 
-    def _test_client(self, client_func, expected_path, expected_body, is_tpu=True, success=True):
+    def _test_client(self, client_func, expected_path, expected_body, is_tpu=True, success=True, iap_token=False):
         _request = {}
 
         class GetGcsPathHandler(GcsDatasetsHTTPHandler):
@@ -63,6 +65,8 @@ def get_response(self):
         env.set(_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME, _TEST_JWT)
         if is_tpu:
           env.set(_KAGGLE_TPU_NAME_ENV_VAR_NAME, 'FAKE_TPU')
+        if iap_token:
+          env.set(_KAGGLE_IAP_TOKEN_ENV_VAR_NAME, _TEST_IAP)
         with env:
             with HTTPServer((self.SERVER_ADDRESS.hostname, self.SERVER_ADDRESS.port), GetGcsPathHandler) as httpd:
                 threading.Thread(target=httpd.serve_forever).start()
@@ -87,6 +91,12 @@ def get_response(self):
                     msg="Fake server did not receive an application/json content type header from the KaggleDatasets client.")
                 self.assertIn('X-Kaggle-Authorization', headers.keys(),
                     msg="Fake server did not receive an X-Kaggle-Authorization header from the KaggleDatasets client.")
+                if iap_token:
+                    self.assertEqual(f'Bearer {_TEST_IAP}', headers.get('Authorization'),
+                        msg="Fake server did not receive an Authorization header from the KaggleDatasets client.")
+                else:
+                    self.assertNotIn('Authorization', headers.keys(),
+                      msg="Fake server received an Authorization header from the KaggleDatasets client. It shouldn't.")
                 self.assertEqual(f'Bearer {_TEST_JWT}', headers.get('X-Kaggle-Authorization'),
                     msg="Fake server did not receive the right X-Kaggle-Authorization header from the KaggleDatasets client.")
 
@@ -127,3 +137,12 @@ def call_get_gcs_path():
                           {'MountSlug': None, 'IntegrationType': 2},
                           is_tpu=True,
                           success=False)
+
+    def test_iap_token(self):
+        def call_get_gcs_path():
+            client = KaggleDatasets()
+            gcs_path = client.get_gcs_path()
+        self._test_client(call_get_gcs_path,
+                          '/requests/CopyDatasetVersionToKnownGcsBucketRequest',
+                          {'MountSlug': None, 'IntegrationType': 1},
+                          is_tpu=False, iap_token=True)

From ef6fe98bd6cc3701b68df32a9da1175e02fc663f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 24 Aug 2020 16:41:56 +0000
Subject: [PATCH 1018/1660] Relax assertion in vowpalwabbit test.

BUG=166119107
---
 tests/test_vowpalwabbit.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/test_vowpalwabbit.py b/tests/test_vowpalwabbit.py
index f6f62161..839aed05 100644
--- a/tests/test_vowpalwabbit.py
+++ b/tests/test_vowpalwabbit.py
@@ -7,4 +7,4 @@ def test_basic(self):
         vw = pyvw.vw(quiet=True)
         ex = vw.example('1 | a b c')
         vw.learn(ex)
-        self.assertEqual(0.632030725479126, vw.predict(ex))
+        self.assertGreater(vw.predict(ex), 0)

From b6a2ecf101b557ddc15e7fb266b63dfadd0a1fb9 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 24 Aug 2020 17:28:05 +0000
Subject: [PATCH 1019/1660] Pin kornia to prevent torch upgrade.

BUG=162850432
---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 245a2edc..3bb9fa4a 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -343,7 +343,8 @@ RUN pip install bcolz && \
     pip install nbformat && \
     pip install notebook==5.5.0 && \
     pip install olefile && \
-    pip install kornia && \
+    # b/162850432 unpin once we upgrade to pytorch 1.6
+    pip install kornia==0.3.2 && \
     pip install pandas_summary && \
     pip install pandocfilters && \
     pip install pexpect && \

From 187af5a659ccf374e48473b0a63845f30f840222 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 24 Aug 2020 20:13:12 +0000
Subject: [PATCH 1020/1660] Pin fastai

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 3bb9fa4a..fe92f1d1 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -374,7 +374,8 @@ RUN pip install bcolz && \
     pip install widgetsnbextension && \
     pip install pyarrow && \
     pip install feather-format && \
-    pip install fastai && \
+    # b/162850432 unpin once we upgrade to pytorch 1.6
+    pip install fastai~=1.0.61 && \
     pip install allennlp && \
     python -m spacy download en && python -m spacy download en_core_web_lg && \
     apt-get install -y ffmpeg && \

From b85ee239ba0497dc0994239a99bd7b49a87f37de Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 31 Aug 2020 16:50:47 +0000
Subject: [PATCH 1021/1660] Pin tensorforce to avoid matplotlib upgrade

BUG=167220714
---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index fe92f1d1..e38ce89b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -404,7 +404,8 @@ RUN pip install flashtext && \
     pip install shap && \
     pip install ray && \
     pip install gym && \
-    pip install tensorforce && \
+    # b/167220714 unpin once matplotlib >= 3.3 is installed in the base image.
+    pip install tensorforce==0.5.5 && \
     pip install pyarabic && \
     pip install conx && \
     pip install pandasql && \

From 60ea9cc42405bbf375c1c0ac39a63812bd026827 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 31 Aug 2020 23:33:34 +0000
Subject: [PATCH 1022/1660] Unpin geopandas

---
 Dockerfile | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index e38ce89b..d0a623cc 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -435,8 +435,7 @@ RUN pip install flashtext && \
     pip install transformers && \
     pip install dlib && \
     pip install kaggle-environments && \
-    # b/149905611 The geopandas tests are broken with the version 0.7.0
-    pip install geopandas==0.6.3 && \
+    pip install geopandas && \
     pip install nnabla && \
     pip install vowpalwabbit && \
     # papermill can replace nbconvert for executing notebooks

From be38f9108c4fca1f88c28b8e8591c195caeb5e9b Mon Sep 17 00:00:00 2001
From: rohitgr7 <rohitgr1998@gmail.com>
Date: Fri, 4 Sep 2020 04:30:54 +0530
Subject: [PATCH 1023/1660] Add pytorch-lightning to Dockerfile

---
 Dockerfile                      |  1 +
 tests/test_pytorch_lightning.py | 73 +++++++++++++++++++++++++++++++++
 2 files changed, 74 insertions(+)
 create mode 100644 tests/test_pytorch_lightning.py

diff --git a/Dockerfile b/Dockerfile
index d0a623cc..11dcdf11 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -444,6 +444,7 @@ RUN pip install flashtext && \
     pip install tensorflow-datasets && \
     pip install pydub && \
     pip install pydegensac && \
+    pip install pytorch-lightning && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages
diff --git a/tests/test_pytorch_lightning.py b/tests/test_pytorch_lightning.py
new file mode 100644
index 00000000..5905730c
--- /dev/null
+++ b/tests/test_pytorch_lightning.py
@@ -0,0 +1,73 @@
+import unittest
+
+import torch
+import torch.nn.functional as F
+from torch.utils.data import DataLoader, TensorDataset
+
+import pytorch_lightning as pl
+from pytorch_lightning.metrics.functional import to_onehot
+
+
+class LitDataModule(pl.LightningDataModule):
+
+    def __init__(self, batch_size=16):
+        super().__init__()
+
+        self.batch_size = batch_size
+
+    def setup(self, stage=None):
+        X_train = torch.rand(100, 1, 28, 28).float()
+        y_train = to_onehot(torch.randint(0, 10, size=(100,)), num_classes=10).float()
+        X_valid = torch.rand(20, 1, 28, 28)
+        y_valid = to_onehot(torch.randint(0, 10, size=(20,)), num_classes=10).float()
+
+        self.train_ds = TensorDataset(X_train, y_train)
+        self.valid_ds = TensorDataset(X_valid, y_valid)
+
+    def train_dataloader(self):
+        return DataLoader(self.train_ds, batch_size=self.batch_size, shuffle=True)
+
+    def val_dataloader(self):
+        return DataLoader(self.valid_ds, batch_size=self.batch_size, shuffle=False)
+
+
+class LitClassifier(pl.LightningModule):
+
+    def __init__(self):
+        super().__init__()
+        self.l1 = torch.nn.Linear(28 * 28, 10)
+
+    def forward(self, x):
+        return torch.relu(self.l1(x.view(x.size(0), -1)))
+
+    def training_step(self, batch, batch_idx):
+        x, y = batch
+        y_hat = self(x)
+        loss = F.binary_cross_entropy_with_logits(y_hat, y)
+        result = pl.TrainResult(loss)
+        result.log('train_loss', loss, on_epoch=True)
+        return result
+
+    def validation_step(self, batch, batch_idx):
+        x, y = batch
+        y_hat = self(x)
+        loss = F.binary_cross_entropy_with_logits(y_hat, y)
+        result = pl.EvalResult(checkpoint_on=loss)
+        result.log('val_loss', loss)
+        return result
+
+    def configure_optimizers(self):
+        return torch.optim.Adam(self.parameters(), lr=0.02)
+
+
+class TestPytorchLightning(unittest.TestCase):
+
+    def test_version(self):
+        self.assertIsNotNone(pl.__version__)
+
+    def test_mnist(self):
+        dm = LitDataModule()
+        model = LitClassifier()
+        trainer = pl.Trainer(gpus=None, max_epochs=1)
+        result = trainer.fit(model, datamodule=dm)
+        self.assertTrue(result)

From 8b1c5b548addf1ea95498f887422f5c875787642 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 4 Aug 2020 22:01:06 +0000
Subject: [PATCH 1024/1660] Upgrade to Pytorch 1.6

BUG=162850432
---
 Dockerfile     | 8 +++-----
 gpu.Dockerfile | 2 +-
 2 files changed, 4 insertions(+), 6 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index d0a623cc..e9097369 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -47,7 +47,7 @@ RUN conda config --add channels conda-forge && \
     conda install matplotlib basemap cartopy python-igraph imagemagick "pysal==2.1.0" && \
     # b/142337634#comment22 pin required to avoid torchaudio downgrade.
     # b/162357958##comment7 Upgrade once new versions of torch* libs are released for pytorch 1.6.
-    conda install "pytorch=1.5" "torchvision=0.6" "torchaudio=0.5" "torchtext=0.6" cpuonly && \
+    conda install "pytorch=1.6" "torchvision=0.7" "torchaudio=0.6" "torchtext=0.7" cpuonly && \
     /tmp/clean-layer.sh
 
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
@@ -343,8 +343,7 @@ RUN pip install bcolz && \
     pip install nbformat && \
     pip install notebook==5.5.0 && \
     pip install olefile && \
-    # b/162850432 unpin once we upgrade to pytorch 1.6
-    pip install kornia==0.3.2 && \
+    pip install kornia && \
     pip install pandas_summary && \
     pip install pandocfilters && \
     pip install pexpect && \
@@ -374,8 +373,7 @@ RUN pip install bcolz && \
     pip install widgetsnbextension && \
     pip install pyarrow && \
     pip install feather-format && \
-    # b/162850432 unpin once we upgrade to pytorch 1.6
-    pip install fastai~=1.0.61 && \
+    pip install fastai && \
     pip install allennlp && \
     python -m spacy download en && python -m spacy download en_core_web_lg && \
     apt-get install -y ffmpeg && \
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index dc011047..103be21f 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -61,7 +61,7 @@ RUN apt-get install -y ocl-icd-libopencl1 clinfo libboost-all-dev && \
 # However, because this image is based on the CPU image, this isn't possible but better
 # to put them at the top of this file to minize conflicts.
 RUN conda remove --force -y pytorch torchvision torchaudio cpuonly && \
-    conda install "pytorch=1.5" "torchvision=0.6" "torchaudio=0.5" "torchtext=0.6" cudatoolkit=$CUDA_VERSION && \
+    conda install "pytorch=1.6" "torchvision=0.7" "torchaudio=0.6" "torchtext=0.7" cudatoolkit=$CUDA_VERSION && \
     /tmp/clean-layer.sh
 
 # Install LightGBM with GPU

From 4f3a31e79d4ca1aea5064c58c9bab4b3d280227b Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 14 Sep 2020 20:26:05 +0000
Subject: [PATCH 1025/1660] Pin osmnx to prevent matplotlib upgrade

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index e9097369..7d0b5b9f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -424,7 +424,8 @@ RUN pip install flashtext && \
     pip install plotly_express && \
     pip install albumentations && \
     pip install catalyst && \
-    pip install osmnx && \
+    # b/162850432 prevent matplotlib upgrade.
+    pip install osmnx==0.15.1 && \
     apt-get -y install libspatialindex-dev && \
     pip install pytorch-ignite && \
     pip install qgrid && \

From 2297d480f2a00b14f39473bf0f2d2672978554df Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 14 Sep 2020 22:21:57 +0000
Subject: [PATCH 1026/1660] fix fastai tests

---
 tests/test_fastai.py | 37 +++++++++++--------------------------
 1 file changed, 11 insertions(+), 26 deletions(-)

diff --git a/tests/test_fastai.py b/tests/test_fastai.py
index 0f9d1202..edfd402e 100644
--- a/tests/test_fastai.py
+++ b/tests/test_fastai.py
@@ -1,21 +1,12 @@
 import unittest
 
 import fastai
-import pandas as pd
-import torch
 
-from fastai.tabular import *
-from fastai.core import partition
-from fastai.torch_core import tensor
+from fastai.tabular.all import *
 
 class TestFastAI(unittest.TestCase):
-    def test_partition(self):
-        result = partition([1,2,3,4,5], 2)
-
-        self.assertEqual(3, len(result))
-
     def test_has_version(self):
-        self.assertGreater(len(fastai.__version__), 1)
+        self.assertGreater(len(fastai.__version__), 2)
     
     # based on https://github.com/fastai/fastai/blob/master/tests/test_torch_core.py#L17
     def test_torch_tensor(self):
@@ -25,18 +16,12 @@ def test_torch_tensor(self):
         self.assertTrue(torch.all(a == b))
 
     def test_tabular(self):
-        df = pd.read_csv("/input/tests/data/train.csv")
-        procs = [FillMissing, Categorify, Normalize]
-
-        valid_idx = range(len(df)-5, len(df))
-        dep_var = "label"
-        cont_names = []
-        for i in range(784):
-            cont_names.append("pixel" + str(i))
-
-        data = (TabularList.from_df(df, path="", cont_names=cont_names, cat_names=[], procs=procs)
-            .split_by_idx(valid_idx)
-            .label_from_df(cols=dep_var)
-            .databunch())
-        learn = tabular_learner(data, layers=[200, 100])
-        learn.fit(epochs=1)
+        dls = TabularDataLoaders.from_csv(
+            "/input/tests/data/train.csv",
+            cont_names=["pixel"+str(i) for i in range(784)],
+            y_names='label',
+            procs=[FillMissing, Categorify, Normalize])       
+        learn = tabular_learner(dls, layers=[200, 100])
+        learn.fit_one_cycle(n_epoch=1)
+        
+        self.assertGreater(learn.smooth_loss, 0)

From 83bb8412b164d9bd7c135188d4922e570a6904ec Mon Sep 17 00:00:00 2001
From: Jim Plotts <jplotts@google.com>
Date: Fri, 18 Sep 2020 12:12:13 -0400
Subject: [PATCH 1027/1660] Pin to version 1.0.1 for google-cloud-automl.
 (#876)

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 43a04ccd..2d9c5d5e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -291,7 +291,8 @@ RUN pip install --upgrade cython && \
     pip install annoy && \
     # Need to use CountEncoder from category_encoders before it's officially released
     pip install git+https://github.com/scikit-learn-contrib/categorical-encoding.git && \
-    pip install google-cloud-automl && \
+    # google-cloud-automl 2.0.0 introduced incompatible API changes, need to pin to 1.0.1
+    pip install google-cloud-automl==1.0.1 && \
     # Newer version crashes (latest = 1.14.0) when running tensorflow.
     # python -c "from google.cloud import bigquery; import tensorflow". This flow is common because bigquery is imported in kaggle_gcp.py
     # which is loaded at startup.

From a80713012ec6fba0019640e9b5deedbe49244858 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 29 Sep 2020 17:15:35 +0000
Subject: [PATCH 1028/1660] Build TensorFlow 2.3.1 wheel.

BUG=165813706
---
 tensorflow-whl/CHANGELOG.md | 11 ++++++-----
 tensorflow-whl/Dockerfile   |  2 +-
 2 files changed, 7 insertions(+), 6 deletions(-)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index a8dc173f..ae403d24 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -12,8 +12,9 @@
 * `2.1.0-py36`: TensorFlow 2.1.0 with Python 3.6
 * `2.1.0-py36-2`: TensorFlow 2.1.0 with CUDA 10.1
 * `2.1.0-py37`: TensorFlow 2.1.0 with Python 3.7
-* `2.1.0-py37-2`: TensorFlow 2.1.0 with Python 3.7 & DLVM base image.
-* `2.1.0-py37-3`: TensorFlow 2.1.0 with Python 3.7, DLVM base image, tensorflow-gcs-config.
-* `2.2.0-py37`: TensorFlow 2.2.0 with Python 3.7.
-* `2.2.0-py37-2`: TensorFlow 2.2.0 with Python 3.7 & TFA.
-* `2.3.0-py37`: TensorFlow 2.3.0 with Python.
\ No newline at end of file
+* `2.1.0-py37-2`: TensorFlow 2.1.0 with Python 3.7 & DLVM base image
+* `2.1.0-py37-3`: TensorFlow 2.1.0 with Python 3.7, DLVM base image, tensorflow-gcs-config
+* `2.2.0-py37`: TensorFlow 2.2.0 with Python 3.7
+* `2.2.0-py37-2`: TensorFlow 2.2.0 with Python 3.7 & TFA
+* `2.3.0-py37`: TensorFlow 2.3.0 with Python 3.7
+* `2.3.1-py37`: TensorFlow 2.3.1 with Python 3.6
\ No newline at end of file
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index a7d4f972..100c9fa7 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -66,7 +66,7 @@ RUN apt-get install -y gnupg zip openjdk-8-jdk && \
 RUN cd /usr/local/src && \
     git clone https://github.com/tensorflow/tensorflow && \
     cd tensorflow && \
-    git checkout tags/v2.3.0 && \
+    git checkout tags/v2.3.1 && \
     pip install keras_applications --no-deps && \
     pip install keras_preprocessing --no-deps
 

From bc3af14bcf132f1461da687e2262492f59e64586 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 30 Sep 2020 16:40:33 +0000
Subject: [PATCH 1029/1660] transformation for cuBLAS

---
 tensorflow-whl/Dockerfile | 12 ++++++++----
 1 file changed, 8 insertions(+), 4 deletions(-)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 100c9fa7..f15a6ca8 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -1,5 +1,5 @@
 FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04 AS nvidia
-FROM gcr.io/deeplearning-platform-release/base-cpu:latest
+FROM gcr.io/deeplearning-platform-release/base-cpu:m46
 
 # Avoid interactive configuration prompts/dialogs during apt-get.
 ENV DEBIAN_FRONTEND=noninteractive
@@ -62,13 +62,17 @@ RUN apt-get install -y gnupg zip openjdk-8-jdk && \
     dpkg -i bazel_*.deb && \
     rm bazel_*.deb
 
+# CUDA 10.1 changed the location of the toolkit (libcublas): https://forums.developer.nvidia.com/t/cublas-for-10-1-is-missing/71015/17
+RUN cp /usr/local/cuda-10.2/targets/x86_64-linux/include/cublas_api.h /usr/local/cuda-10.1/targets/x86_64-linux/include/ && \
+    cp /usr/local/cuda-10.2/lib64/libcublas.so.10.2.2.214 /usr/local/cuda-10.1/lib64/ && \
+    ln /usr/local/cuda-10.1/lib64/libcublas.so.10.2.2.214 /usr/local/cuda-10.1/lib64/libcublas.so.10.1 && \
+    ln -s /usr/local/cuda-10.1/lib64/libcublas.so.10.1 /usr/local/cuda-10.1/lib64/libcublas.so
+
 # Fetch TensorFlow & install dependencies.
 RUN cd /usr/local/src && \
     git clone https://github.com/tensorflow/tensorflow && \
     cd tensorflow && \
-    git checkout tags/v2.3.1 && \
-    pip install keras_applications --no-deps && \
-    pip install keras_preprocessing --no-deps
+    git checkout tags/v2.3.1
 
 # Create a TensorFlow wheel for CPU
 RUN cd /usr/local/src/tensorflow && \

From c14b7fce73bd09dcd9ed708c2ef986603202c4f0 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 30 Sep 2020 20:10:24 +0000
Subject: [PATCH 1030/1660] add back keras_applications & keras_preprocessing

---
 tensorflow-whl/Dockerfile | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index f15a6ca8..e3d06e2d 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -72,7 +72,9 @@ RUN cp /usr/local/cuda-10.2/targets/x86_64-linux/include/cublas_api.h /usr/local
 RUN cd /usr/local/src && \
     git clone https://github.com/tensorflow/tensorflow && \
     cd tensorflow && \
-    git checkout tags/v2.3.1
+    git checkout tags/v2.3.1 && \
+    pip install keras_applications --no-deps && \
+    pip install keras_preprocessing --no-deps
 
 # Create a TensorFlow wheel for CPU
 RUN cd /usr/local/src/tensorflow && \

From e582fec063b84b341c376969a3d3631bb146bbc2 Mon Sep 17 00:00:00 2001
From: rohitgr7 <rohitgr1998@gmail.com>
Date: Tue, 13 Oct 2020 23:57:17 +0530
Subject: [PATCH 1031/1660] Update pytorch-lightning 1.0

---
 tests/test_pytorch_lightning.py | 27 +++++++++++----------------
 1 file changed, 11 insertions(+), 16 deletions(-)

diff --git a/tests/test_pytorch_lightning.py b/tests/test_pytorch_lightning.py
index 5905730c..a7c89d85 100644
--- a/tests/test_pytorch_lightning.py
+++ b/tests/test_pytorch_lightning.py
@@ -1,12 +1,10 @@
 import unittest
 
+import pytorch_lightning as pl
 import torch
 import torch.nn.functional as F
 from torch.utils.data import DataLoader, TensorDataset
 
-import pytorch_lightning as pl
-from pytorch_lightning.metrics.functional import to_onehot
-
 
 class LitDataModule(pl.LightningDataModule):
 
@@ -16,10 +14,10 @@ def __init__(self, batch_size=16):
         self.batch_size = batch_size
 
     def setup(self, stage=None):
-        X_train = torch.rand(100, 1, 28, 28).float()
-        y_train = to_onehot(torch.randint(0, 10, size=(100,)), num_classes=10).float()
+        X_train = torch.rand(100, 1, 28, 28)
+        y_train = torch.randint(0, 10, size=(100,))
         X_valid = torch.rand(20, 1, 28, 28)
-        y_valid = to_onehot(torch.randint(0, 10, size=(20,)), num_classes=10).float()
+        y_valid = torch.randint(0, 10, size=(20,))
 
         self.train_ds = TensorDataset(X_train, y_train)
         self.valid_ds = TensorDataset(X_valid, y_valid)
@@ -38,26 +36,23 @@ def __init__(self):
         self.l1 = torch.nn.Linear(28 * 28, 10)
 
     def forward(self, x):
-        return torch.relu(self.l1(x.view(x.size(0), -1)))
+        return F.relu(self.l1(x.view(x.size(0), -1)))
 
     def training_step(self, batch, batch_idx):
         x, y = batch
         y_hat = self(x)
-        loss = F.binary_cross_entropy_with_logits(y_hat, y)
-        result = pl.TrainResult(loss)
-        result.log('train_loss', loss, on_epoch=True)
-        return result
+        loss = F.cross_entropy(y_hat, y)
+        self.log('train_loss', loss)
+        return loss
 
     def validation_step(self, batch, batch_idx):
         x, y = batch
         y_hat = self(x)
-        loss = F.binary_cross_entropy_with_logits(y_hat, y)
-        result = pl.EvalResult(checkpoint_on=loss)
-        result.log('val_loss', loss)
-        return result
+        loss = F.cross_entropy(y_hat, y)
+        self.log('val_loss', loss)
 
     def configure_optimizers(self):
-        return torch.optim.Adam(self.parameters(), lr=0.02)
+        return torch.optim.Adam(self.parameters(), lr=1e-2)
 
 
 class TestPytorchLightning(unittest.TestCase):

From b5bf459fe87bcffff98f27aeaa725d4858e91b51 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 13 Oct 2020 20:42:58 +0000
Subject: [PATCH 1032/1660] Upgrade to CUDA 10.2

---
 tensorflow-whl/Dockerfile | 12 +++---------
 1 file changed, 3 insertions(+), 9 deletions(-)

diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index e3d06e2d..d88604af 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -1,4 +1,4 @@
-FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04 AS nvidia
+FROM nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04 AS nvidia
 FROM gcr.io/deeplearning-platform-release/base-cpu:m46
 
 # Avoid interactive configuration prompts/dialogs during apt-get.
@@ -18,8 +18,8 @@ RUN sed -i 's/deb https:\/\/developer.download.nvidia.com/deb http:\/\/developer
 # Ensure the cuda libraries are compatible with the GPU image.
 # TODO(b/120050292): Use templating to keep in sync.
 ENV CUDA_MAJOR_VERSION=10
-ENV CUDA_MINOR_VERSION=1
-ENV CUDA_PATCH_VERSION=243
+ENV CUDA_MINOR_VERSION=2
+ENV CUDA_PATCH_VERSION=89
 ENV CUDA_VERSION=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION.$CUDA_PATCH_VERSION
 ENV CUDA_PKG_VERSION=$CUDA_MAJOR_VERSION-$CUDA_MINOR_VERSION=$CUDA_VERSION-1
 LABEL com.nvidia.volumes.needed="nvidia_driver"
@@ -62,12 +62,6 @@ RUN apt-get install -y gnupg zip openjdk-8-jdk && \
     dpkg -i bazel_*.deb && \
     rm bazel_*.deb
 
-# CUDA 10.1 changed the location of the toolkit (libcublas): https://forums.developer.nvidia.com/t/cublas-for-10-1-is-missing/71015/17
-RUN cp /usr/local/cuda-10.2/targets/x86_64-linux/include/cublas_api.h /usr/local/cuda-10.1/targets/x86_64-linux/include/ && \
-    cp /usr/local/cuda-10.2/lib64/libcublas.so.10.2.2.214 /usr/local/cuda-10.1/lib64/ && \
-    ln /usr/local/cuda-10.1/lib64/libcublas.so.10.2.2.214 /usr/local/cuda-10.1/lib64/libcublas.so.10.1 && \
-    ln -s /usr/local/cuda-10.1/lib64/libcublas.so.10.1 /usr/local/cuda-10.1/lib64/libcublas.so
-
 # Fetch TensorFlow & install dependencies.
 RUN cd /usr/local/src && \
     git clone https://github.com/tensorflow/tensorflow && \

From 6612b14ee7e8b124f39f578528857a38aaa9699f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 14 Oct 2020 17:02:21 +0000
Subject: [PATCH 1033/1660] Use TensorFlow 2.3.1 wheels.

Also upgrade to CUDA 10.2.

BUG=165813706
---
 Dockerfile     | 2 +-
 gpu.Dockerfile | 8 ++++----
 2 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 2d9c5d5e..6fbcebb9 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,6 +1,6 @@
 # b/157908450 set to latest once numba 0.49.x fixes performance regression for datashader.
 ARG BASE_TAG=m46
-ARG TENSORFLOW_VERSION=2.3.0
+ARG TENSORFLOW_VERSION=2.3.1
 
 FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37 as tensorflow_whl
 FROM gcr.io/deeplearning-platform-release/base-cpu:${BASE_TAG}
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 103be21f..c7359e72 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=staging
 
-FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04 AS nvidia
-FROM gcr.io/kaggle-images/python-tensorflow-whl:2.3.0-py37 as tensorflow_whl
+FROM nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04 AS nvidia
+FROM gcr.io/kaggle-images/python-tensorflow-whl:2.3.1-py37 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
@@ -16,8 +16,8 @@ RUN sed -i 's/deb https:\/\/developer.download.nvidia.com/deb http:\/\/developer
 # Ensure the cuda libraries are compatible with the custom Tensorflow wheels.
 # TODO(b/120050292): Use templating to keep in sync or COPY installed binaries from it.
 ENV CUDA_MAJOR_VERSION=10
-ENV CUDA_MINOR_VERSION=1
-ENV CUDA_PATCH_VERSION=243
+ENV CUDA_MINOR_VERSION=2
+ENV CUDA_PATCH_VERSION=89
 ENV CUDA_VERSION=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION.$CUDA_PATCH_VERSION
 ENV CUDA_PKG_VERSION=$CUDA_MAJOR_VERSION-$CUDA_MINOR_VERSION=$CUDA_VERSION-1
 LABEL com.nvidia.volumes.needed="nvidia_driver"

From 276618a5e6d2952774cad7454cdecd7e50558f8c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 20 Oct 2020 20:25:23 +0000
Subject: [PATCH 1034/1660] Add new client to retrieve exportable .ipynb of
 current session.

http://b/171318603
---
 Dockerfile                |  1 +
 patches/kaggle_session.py | 26 ++++++++++++++++++++++++++
 2 files changed, 27 insertions(+)
 create mode 100644 patches/kaggle_session.py

diff --git a/Dockerfile b/Dockerfile
index 6fbcebb9..b79d3521 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -488,6 +488,7 @@ RUN echo "deb [signed-by=/usr/share/keyrings/cloud.google.gpg] http://packages.c
 ENV PYTHONUSERBASE "/root/.local"
 ADD patches/kaggle_gcp.py /root/.local/lib/python3.7/site-packages/kaggle_gcp.py
 ADD patches/kaggle_secrets.py /root/.local/lib/python3.7/site-packages/kaggle_secrets.py
+ADD patches/kaggle_session.py /root/.local/lib/python3.7/site-packages/kaggle_session.py
 ADD patches/kaggle_web_client.py /root/.local/lib/python3.7/site-packages/kaggle_web_client.py
 ADD patches/kaggle_datasets.py /root/.local/lib/python3.7/site-packages/kaggle_datasets.py
 ADD patches/log.py /root/.local/lib/python3.7/site-packages/log.py
diff --git a/patches/kaggle_session.py b/patches/kaggle_session.py
new file mode 100644
index 00000000..30679c86
--- /dev/null
+++ b/patches/kaggle_session.py
@@ -0,0 +1,26 @@
+"""
+This library adds support for retrieving data related to the current user session.
+"""
+
+import os
+
+from kaggle_web_client import KaggleWebClient
+
+
+class UserSessionClient():
+    GET_SOURCE_ENDPOINT = '/requests/GetKernelRunSourceForCaipRequest'
+
+    def __init__(self):
+        self.web_client = KaggleWebClient()
+
+    def get_exportable_ipynb(self):
+        """Fetch the .ipynb source of the current notebook session.
+        
+        If Kaggle datasets are attached to the notebook, the source will
+        include an additonnal cell with logic to download the datasets
+        outside the Kaggle platform.
+        """
+        request_body = {
+            'UseDraft': True,        
+        }
+        return self.web_client.make_post_request(request_body, self.GET_SOURCE_ENDPOINT)

From 2b0074e69ce07896065ca003785902f09c64cc11 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 20 Oct 2020 22:09:12 +0000
Subject: [PATCH 1035/1660] Add unit tests

---
 tests/test_user_session.py | 104 +++++++++++++++++++++++++++++++++++++
 1 file changed, 104 insertions(+)
 create mode 100644 tests/test_user_session.py

diff --git a/tests/test_user_session.py b/tests/test_user_session.py
new file mode 100644
index 00000000..57f2de8c
--- /dev/null
+++ b/tests/test_user_session.py
@@ -0,0 +1,104 @@
+import json
+import os
+import threading
+import unittest
+
+from http.server import BaseHTTPRequestHandler, HTTPServer
+from test.support import EnvironmentVarGuard
+from urllib.parse import urlparse
+from kaggle_session import UserSessionClient
+from kaggle_web_client import (_KAGGLE_URL_BASE_ENV_VAR_NAME,
+                            _KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME,
+                            CredentialError, BackendError)
+
+class UserSessionHTTPHandler(BaseHTTPRequestHandler):
+
+    def set_request(self):
+        raise NotImplementedError()
+
+    def get_response(self):
+        raise NotImplementedError()
+
+    def do_HEAD(s):
+        s.send_response(200)
+
+    def do_POST(s):
+        s.set_request()
+        s.send_response(200)
+        s.send_header("Content-type", "application/json")
+        s.end_headers()
+        s.wfile.write(json.dumps(s.get_response()).encode("utf-8"))
+
+class TestUserSessionClient(unittest.TestCase):
+    SERVER_ADDRESS = urlparse(os.getenv(_KAGGLE_URL_BASE_ENV_VAR_NAME, default="http://127.0.0.1:8001"))
+    TEST_JWT = 'test-secrets-key'
+
+    def _test_client(self, client_func, expected_path, expected_body, source=None, success=True):
+        _request = {}
+
+        class GetKernelRunSourceForCaipHandler(UserSessionHTTPHandler):
+            def set_request(self):
+                _request['path'] = self.path
+                content_len = int(self.headers.get('Content-Length'))
+                _request['body'] = json.loads(self.rfile.read(content_len))
+                _request['headers'] = self.headers
+            
+            def get_response(self):
+                if success:
+                    return {'result': {'source': source}, 'wasSuccessful': 'true'}
+                return {'wasSuccessful': 'false'}
+        
+        env = EnvironmentVarGuard()
+        env.set(_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME, self.TEST_JWT)
+        with env:
+            with HTTPServer((self.SERVER_ADDRESS.hostname, self.SERVER_ADDRESS.port), GetKernelRunSourceForCaipHandler) as httpd:
+                threading.Thread(target=httpd.serve_forever).start()
+
+                try:
+                    client_func()
+                finally:
+                    httpd.shutdown()
+                
+                path, headers, body = _request['path'], _request['headers'], _request['body']
+                self.assertEqual(
+                    path,
+                    expected_path,
+                    msg="Fake server did not receive the right request from UserSessionClient.")
+                self.assertEqual(
+                    body,
+                    expected_body,
+                    msg="Fake server did not receive the right body from UserSessionClient.")
+
+    def test_no_token_fails(self):
+        env = EnvironmentVarGuard()
+        env.unset(_KAGGLE_USER_SECRETS_TOKEN_ENV_VAR_NAME)
+        with env:
+            with self.assertRaises(CredentialError):
+                client = UserSessionClient()
+    
+    def test_get_exportable_ipynb_succeeds(self):
+        source = "import foo"
+
+        def call_get_ipynb():
+            client = UserSessionClient()
+            response = client.get_exportable_ipynb()
+            self.assertEqual(source, response['source'])
+
+        self._test_client(
+            call_get_ipynb,
+            '/requests/GetKernelRunSourceForCaipRequest',
+            {'UseDraft': True},
+            source=source,
+            success=True)
+
+    def test_get_exportable_ipynb_fails(self):
+        def call_get_ipynb():
+            client = UserSessionClient()
+            with self.assertRaises(BackendError):
+                client.get_exportable_ipynb()
+
+        self._test_client(
+            call_get_ipynb,
+            '/requests/GetKernelRunSourceForCaipRequest',
+            {'UseDraft': True},
+            success=False)
\ No newline at end of file

From 4546a406e869249824582dc794e3c3fc2c0b1a2c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 21 Oct 2020 22:55:48 +0000
Subject: [PATCH 1036/1660] Allow quick iteration when developing kaggle
 librairies

---
 dev.Dockerfile | 19 +++++++++++++++++++
 1 file changed, 19 insertions(+)
 create mode 100644 dev.Dockerfile

diff --git a/dev.Dockerfile b/dev.Dockerfile
new file mode 100644
index 00000000..a71996e9
--- /dev/null
+++ b/dev.Dockerfile
@@ -0,0 +1,19 @@
+# This Dockerfile builds an image to quickly iterate on the kaggle libraries.
+#
+# Usage:
+#   cd path/to/docker-python
+#   docker build -t kaggle/python-dev -f dev.Dockerfile .
+#
+#   # you can run a container using the image using:
+#   docker run -it --rm kaggle/python-dev /bin/bash
+#
+#   # you can run the tests against this new image using:
+#   ./test -i kaggle/python-dev -p test_user_secrets.py
+#
+FROM gcr.io/kaggle-images/python:staging
+
+ADD patches/kaggle_gcp.py /root/.local/lib/python3.7/site-packages/kaggle_gcp.py
+ADD patches/kaggle_secrets.py /root/.local/lib/python3.7/site-packages/kaggle_secrets.py
+ADD patches/kaggle_session.py /root/.local/lib/python3.7/site-packages/kaggle_session.py
+ADD patches/kaggle_web_client.py /root/.local/lib/python3.7/site-packages/kaggle_web_client.py
+ADD patches/kaggle_datasets.py /root/.local/lib/python3.7/site-packages/kaggle_datasets.py
\ No newline at end of file

From 50e7b4aba55868598be8b24a98804aee2a0cfa89 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 21 Oct 2020 22:59:31 +0000
Subject: [PATCH 1037/1660] Expand description for the dev image

---
 dev.Dockerfile | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/dev.Dockerfile b/dev.Dockerfile
index a71996e9..fdeba052 100644
--- a/dev.Dockerfile
+++ b/dev.Dockerfile
@@ -1,5 +1,8 @@
 # This Dockerfile builds an image to quickly iterate on the kaggle libraries.
 #
+# Create a new image with the latest kaggle librairies using the latest image
+# built by CI with a successful test run as the base.
+#
 # Usage:
 #   cd path/to/docker-python
 #   docker build -t kaggle/python-dev -f dev.Dockerfile .

From 42394fae42a6ac596fb91c4c5b3c84fcbe1e30ff Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 21 Oct 2020 23:23:45 +0000
Subject: [PATCH 1038/1660] Add set_gcloud_credentials to UserSecretsClient

Set gcloud CLI credentials and optionally the project and account.

http://b/170989865
---
 patches/kaggle_secrets.py  | 37 ++++++++++++++++++++++++++++++++-----
 tests/test_user_secrets.py | 29 +++++++++++++++++++++++++++++
 2 files changed, 61 insertions(+), 5 deletions(-)

diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index a52896b0..18bd8988 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -7,6 +7,7 @@
 import os
 from datetime import datetime, timedelta
 from enum import Enum, unique
+import subprocess
 from typing import Optional, Tuple
 from kaggle_web_client import KaggleWebClient
 from kaggle_web_client import (CredentialError, BackendError)
@@ -80,6 +81,28 @@ def get_gcloud_credential(self) -> str:
             else:
               raise
 
+    def set_gcloud_credentials(self, project=None, account=None):
+        """Set user credentials attached to the current kernel and optionally the project & account name to the `gcloud` CLI.
+        
+        Example usage:
+            client = UserSecretsClient()
+            client.set_gcloud_credentials(project="my-gcp-project", account="me@my-org.com")
+
+            !gcloud ai-platform jobs list
+        """
+        creds = self.get_gcloud_credential()
+        creds_path = self._write_credentials_file(creds)
+
+        subprocess.run(['gcloud', 'config', 'set', 'auth/credential_file_override', creds_path])
+        
+        if project:
+            os.environ['GOOGLE_CLOUD_PROJECT'] = project
+            subprocess.run(['gcloud', 'config', 'set', 'project', project])
+
+        if account:
+            os.environ['GOOGLE_ACCOUNT'] = account
+            subprocess.run(['gcloud', 'config', 'set', 'account', account])
+
     def set_tensorflow_credential(self, credential):
         """Sets the credential for use by Tensorflow both in the local notebook
         and to pass to the TPU.
@@ -89,11 +112,7 @@ def set_tensorflow_credential(self, credential):
 
         # Write to a local JSON credentials file and set
         # GOOGLE_APPLICATION_CREDENTIALS for tensorflow running in the notebook.
-        adc_path = os.path.join(
-            os.environ.get('HOME', '/'), 'gcloud_credential.json')
-        with open(adc_path, 'w') as f:
-          f.write(credential)
-          os.environ['GOOGLE_APPLICATION_CREDENTIALS']=adc_path
+        self._write_credentials_file(credential)
 
         # set the credential for the TPU
         tensorflow_gcs_config.configure_gcs(credentials=credential)
@@ -108,6 +127,14 @@ def get_bigquery_access_token(self) -> Tuple[str, Optional[datetime]]:
             token, expiry = client.get_bigquery_access_token()
         """
         return self._get_access_token(GcpTarget.BIGQUERY)
+    
+    def _write_credentials_file(self, credentials) -> str:
+        adc_path = os.path.join(os.environ.get('HOME', '/'), 'gcloud_credential.json')
+        with open(adc_path, 'w') as f:
+            f.write(credentials)
+        os.environ['GOOGLE_APPLICATION_CREDENTIALS']=adc_path
+
+        return adc_path
 
     def _get_gcs_access_token(self) -> Tuple[str, Optional[datetime]]:
         return self._get_access_token(GcpTarget.GCS)
diff --git a/tests/test_user_secrets.py b/tests/test_user_secrets.py
index 6b0c5ffe..46dd6d8b 100644
--- a/tests/test_user_secrets.py
+++ b/tests/test_user_secrets.py
@@ -1,5 +1,6 @@
 import json
 import os
+import subprocess
 import threading
 import unittest
 from http.server import BaseHTTPRequestHandler, HTTPServer
@@ -134,6 +135,34 @@ def call_get_secret():
                           '/requests/GetUserSecretByLabelRequest', {'Label': "__gcloud_sdk_auth__"},
                           success=False)
 
+    def test_set_gcloud_credentials_succeeds(self):
+        secret = '{"client_id":"gcloud","type":"authorized_user"}'
+        project = 'foo'
+        account = 'bar'
+
+        def get_gcloud_config_value(field):
+            result = subprocess.run(['gcloud', 'config', 'get-value', field], capture_output=True)
+            result.check_returncode()
+            return result.stdout.strip().decode('ascii')
+
+        def test_fn():
+            client = UserSecretsClient()
+            client.set_gcloud_credentials(project=project, account=account)
+
+            self.assertEqual(project, os.environ['GOOGLE_CLOUD_PROJECT'])
+            self.assertEqual(project, get_gcloud_config_value('project'))
+
+            self.assertEqual(account, os.environ['GOOGLE_ACCOUNT'])
+            self.assertEqual(account, get_gcloud_config_value('account'))
+
+            expected_creds_file = '/tmp/gcloud_credential.json'
+            self.assertEqual(expected_creds_file, os.environ['GOOGLE_APPLICATION_CREDENTIALS'])
+            self.assertEqual(expected_creds_file, get_gcloud_config_value('auth/credential_file_override'))
+
+            with open(expected_creds_file, 'r') as f:
+                self.assertEqual(secret, '\n'.join(f.readlines()))
+
+        self._test_client(test_fn, '/requests/GetUserSecretByLabelRequest', {'Label': "__gcloud_sdk_auth__"}, secret=secret)
 
     @mock.patch('kaggle_secrets.datetime')
     def test_get_access_token_succeeds(self, mock_dt):

From 0d7f872a72c7a785ffec8d971524cd66824a9dda Mon Sep 17 00:00:00 2001
From: Ilya Figotin <ifigotin@users.noreply.github.com>
Date: Tue, 27 Oct 2020 08:32:53 -0700
Subject: [PATCH 1039/1660] Store gsutil credentials in .boto file when storing
 gcloud credentials (#892)

The PR adds a call to _write_gsutil_credentials_file which would store the refresh token from gcloud credentials to ~/.boto file used by gsutil.

https://cloud.google.com/storage/docs/boto-gsutil

http://b/171747843
---
 patches/kaggle_secrets.py  | 18 +++++++++++++++---
 tests/test_user_secrets.py |  2 +-
 2 files changed, 16 insertions(+), 4 deletions(-)

diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index 18bd8988..8f0d3eb3 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -83,7 +83,7 @@ def get_gcloud_credential(self) -> str:
 
     def set_gcloud_credentials(self, project=None, account=None):
         """Set user credentials attached to the current kernel and optionally the project & account name to the `gcloud` CLI.
-        
+
         Example usage:
             client = UserSecretsClient()
             client.set_gcloud_credentials(project="my-gcp-project", account="me@my-org.com")
@@ -92,9 +92,10 @@ def set_gcloud_credentials(self, project=None, account=None):
         """
         creds = self.get_gcloud_credential()
         creds_path = self._write_credentials_file(creds)
+        self._write_gsutil_credentials_file(creds)
 
         subprocess.run(['gcloud', 'config', 'set', 'auth/credential_file_override', creds_path])
-        
+
         if project:
             os.environ['GOOGLE_CLOUD_PROJECT'] = project
             subprocess.run(['gcloud', 'config', 'set', 'project', project])
@@ -127,7 +128,7 @@ def get_bigquery_access_token(self) -> Tuple[str, Optional[datetime]]:
             token, expiry = client.get_bigquery_access_token()
         """
         return self._get_access_token(GcpTarget.BIGQUERY)
-    
+
     def _write_credentials_file(self, credentials) -> str:
         adc_path = os.path.join(os.environ.get('HOME', '/'), 'gcloud_credential.json')
         with open(adc_path, 'w') as f:
@@ -136,6 +137,17 @@ def _write_credentials_file(self, credentials) -> str:
 
         return adc_path
 
+    def _write_gsutil_credentials_file(self, credentials) -> str:
+        import json
+        creds_dict = json.loads(credentials)
+        boto_path = os.path.join(os.environ.get('HOME', '/'), '.boto')
+        with open(boto_path, 'w') as f:
+            f.write('[Credentials]\n')
+            f.write(' gs_oauth2_refresh_token = ')
+            f.write(creds_dict['refresh_token'])
+
+        return boto_path
+
     def _get_gcs_access_token(self) -> Tuple[str, Optional[datetime]]:
         return self._get_access_token(GcpTarget.GCS)
 
diff --git a/tests/test_user_secrets.py b/tests/test_user_secrets.py
index 46dd6d8b..fdaa58b2 100644
--- a/tests/test_user_secrets.py
+++ b/tests/test_user_secrets.py
@@ -136,7 +136,7 @@ def call_get_secret():
                           success=False)
 
     def test_set_gcloud_credentials_succeeds(self):
-        secret = '{"client_id":"gcloud","type":"authorized_user"}'
+        secret = '{"client_id":"gcloud","type":"authorized_user","refresh_token":"refresh_token"}'
         project = 'foo'
         account = 'bar'
 

From 0a7f7587250271e9fb66f2b9cda518e8cf46ac4c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 4 Nov 2020 21:57:04 +0000
Subject: [PATCH 1040/1660] Pin fastai.

fastai 2.1.x uses torch 1.7. Unfortunately, we can't upgrade to torch
1.7 yet. We need to wait until all the libraries depending on torch are
supported 1.7.

http://b/172468280
---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index b79d3521..3b60d900 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -374,7 +374,8 @@ RUN pip install bcolz && \
     pip install widgetsnbextension && \
     pip install pyarrow && \
     pip install feather-format && \
-    pip install fastai && \
+    # b/172491515: Unpin after upgrading to torch 1.7
+    pip install fastai==2.0.19 && \
     pip install allennlp && \
     python -m spacy download en && python -m spacy download en_core_web_lg && \
     apt-get install -y ffmpeg && \

From c8eeaf15e3fd56ff9cf35d5b104b866f6d650560 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 5 Nov 2020 00:00:46 +0000
Subject: [PATCH 1041/1660] Add TensorFlow Cloud

http://b/171318603
---
 Dockerfile                     | 1 +
 tests/test_tensorflow_cloud.py | 8 ++++++++
 2 files changed, 9 insertions(+)
 create mode 100644 tests/test_tensorflow_cloud.py

diff --git a/Dockerfile b/Dockerfile
index 3b60d900..c56fa1fb 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -442,6 +442,7 @@ RUN pip install flashtext && \
     # papermill can replace nbconvert for executing notebooks
     pip install papermill && \
     pip install cloud-tpu-client && \
+    pip install tensorflow-cloud && \
     pip install tensorflow-datasets && \
     pip install pydub && \
     pip install pydegensac && \
diff --git a/tests/test_tensorflow_cloud.py b/tests/test_tensorflow_cloud.py
new file mode 100644
index 00000000..2875e121
--- /dev/null
+++ b/tests/test_tensorflow_cloud.py
@@ -0,0 +1,8 @@
+import unittest
+
+import tensorflow_cloud as tfc
+
+
+class TestTensorflowCloud(unittest.TestCase):
+    def test_remote(self):
+        self.assertFalse(tfc.remote())

From 4517a9a8110f83d517a1c8e08126ce2fa2af0fd7 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 5 Nov 2020 21:15:42 +0000
Subject: [PATCH 1042/1660] Install Rapids cuDF & cuML libraries.

http://b/144522678
---
 gpu.Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index c7359e72..35f78cd4 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -61,7 +61,7 @@ RUN apt-get install -y ocl-icd-libopencl1 clinfo libboost-all-dev && \
 # However, because this image is based on the CPU image, this isn't possible but better
 # to put them at the top of this file to minize conflicts.
 RUN conda remove --force -y pytorch torchvision torchaudio cpuonly && \
-    conda install "pytorch=1.6" "torchvision=0.7" "torchaudio=0.6" "torchtext=0.7" cudatoolkit=$CUDA_VERSION && \
+    conda install "pytorch=1.6" "torchvision=0.7" "torchaudio=0.6" "torchtext=0.7" "cudf=0.16" "cuml=0.16" cudatoolkit=$CUDA_VERSION && \
     /tmp/clean-layer.sh
 
 # Install LightGBM with GPU

From 0219b1ad7e093ffc2e7c0f455e59be0294fc6175 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 6 Nov 2020 19:51:08 +0000
Subject: [PATCH 1043/1660] Add tests for cuml & cudf to prevent regresssion.

http://b/144522678
---
 tests/test_rapids.py | 21 +++++++++++++++++++++
 1 file changed, 21 insertions(+)
 create mode 100644 tests/test_rapids.py

diff --git a/tests/test_rapids.py b/tests/test_rapids.py
new file mode 100644
index 00000000..75fbd52f
--- /dev/null
+++ b/tests/test_rapids.py
@@ -0,0 +1,21 @@
+import unittest
+
+import cudf
+from cuml.cluster import DBSCAN
+
+from common import gpu_test
+
+
+class TestRapids(unittest.TestCase):
+    def test_dbscan(self):
+        # Create and populate a GPU DataFrame
+        gdf_float = cudf.DataFrame()
+        gdf_float['0'] = [1.0, 2.0, 5.0]
+        gdf_float['1'] = [4.0, 2.0, 1.0]
+        gdf_float['2'] = [4.0, 2.0, 1.0]
+
+        # Setup and fit clusters
+        dbscan_float = DBSCAN(eps=1.0, min_samples=1)
+        dbscan_float.fit(gdf_float)
+
+        self.assertEqual(3, dbscan_float.labels_.size)

From 0133624081bdc8d414e311d450ac0c21b92d0459 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 6 Nov 2020 21:14:33 +0000
Subject: [PATCH 1044/1660] add gpu guard

---
 tests/test_rapids.py | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/tests/test_rapids.py b/tests/test_rapids.py
index 75fbd52f..3b7239dd 100644
--- a/tests/test_rapids.py
+++ b/tests/test_rapids.py
@@ -1,13 +1,14 @@
 import unittest
 
-import cudf
-from cuml.cluster import DBSCAN
-
 from common import gpu_test
 
 
 class TestRapids(unittest.TestCase):
+    @gpu_test
     def test_dbscan(self):
+        import cudf
+        from cuml.cluster import DBSCAN
+
         # Create and populate a GPU DataFrame
         gdf_float = cudf.DataFrame()
         gdf_float['0'] = [1.0, 2.0, 5.0]

From bc39b5d81926312f5338fbc7f114a1923bf59aa4 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 4 Nov 2020 22:37:49 +0000
Subject: [PATCH 1045/1660] Upgrade TensorFlow addons to 0.11.2

http://b/172498602
---
 tensorflow-whl/CHANGELOG.md | 3 ++-
 tensorflow-whl/Dockerfile   | 2 +-
 2 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index ae403d24..bcbe1603 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -17,4 +17,5 @@
 * `2.2.0-py37`: TensorFlow 2.2.0 with Python 3.7
 * `2.2.0-py37-2`: TensorFlow 2.2.0 with Python 3.7 & TFA
 * `2.3.0-py37`: TensorFlow 2.3.0 with Python 3.7
-* `2.3.1-py37`: TensorFlow 2.3.1 with Python 3.6
\ No newline at end of file
+* `2.3.1-py37`: TensorFlow 2.3.1 with Python 3.7
+* `2.3.1-py37-2`: TensorFlow 2.3.1 & TFA 0.11 with Python 3.7
\ No newline at end of file
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index d88604af..ae56e534 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -87,7 +87,7 @@ RUN pip install /tmp/tensorflow_cpu/tensorflow*.whl
 RUN cd /usr/local/src/ && \
     git clone https://github.com/tensorflow/addons && \
     cd addons && \
-    git checkout tags/v0.10.0 && \
+    git checkout tags/v0.11.2 && \
     python ./configure.py && \
     bazel build --enable_runfiles build_pip_pkg && \
     bazel-bin/build_pip_pkg /tmp/tfa_cpu && \

From efd3a256c6ac40126ae0044bc1f87195fb69d84f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 5 Nov 2020 17:17:11 +0000
Subject: [PATCH 1046/1660] Use new wheel

---
 Dockerfile     | 2 +-
 gpu.Dockerfile | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index c56fa1fb..cbc5290f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -2,7 +2,7 @@
 ARG BASE_TAG=m46
 ARG TENSORFLOW_VERSION=2.3.1
 
-FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37-2 as tensorflow_whl
 FROM gcr.io/deeplearning-platform-release/base-cpu:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 35f78cd4..2c0f2556 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=staging
 
 FROM nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04 AS nvidia
-FROM gcr.io/kaggle-images/python-tensorflow-whl:2.3.1-py37 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:2.3.1-py37-2 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh

From 617cbdf8cde7106407b56babd885cad15843118e Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 16 Nov 2020 18:22:52 +0000
Subject: [PATCH 1047/1660] Pin fastcore.

We were pinning the fastai version but not the underlying fastcore
package.

The newest version of fastcore wasn't compatible with our pinned version
of fastai.

http://b/173417664
---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index cbc5290f..f9173193 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -376,6 +376,8 @@ RUN pip install bcolz && \
     pip install feather-format && \
     # b/172491515: Unpin after upgrading to torch 1.7
     pip install fastai==2.0.19 && \
+    # b/172491515: Remove the next line after removing pin for fastai
+    pip install fastcore==1.3.2 && \
     pip install allennlp && \
     python -m spacy download en && python -m spacy download en_core_web_lg && \
     apt-get install -y ffmpeg && \

From b9631578fcffa548cb164f9ac36ceda3c0d1aaaa Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 25 Nov 2020 09:54:41 -0800
Subject: [PATCH 1048/1660] Increase GPU build timeout

---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index b6596021..d106bf4a 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -57,7 +57,7 @@ pipeline {
       // `--runtime=nvidia` flag for the `docker run` command when GPU support is needed.
       agent { label 'ephemeral-linux-gpu' }
       options {
-        timeout(time: 45, unit: 'MINUTES')
+        timeout(time: 60, unit: 'MINUTES')
       }
       steps {
         sh '''#!/bin/bash

From fabe5b85563ba7a265f83ef404cc3b44136e8473 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 27 Nov 2020 18:44:01 +0000
Subject: [PATCH 1049/1660] Remove useless pip uninstall enum34 command

This package is not part of our base image anymore. From the build logs:

```
Nov 27 12:37:40 [91mWARNING: Skipping enum34 as it is not installed.
```
---
 Dockerfile | 4 ----
 1 file changed, 4 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index f9173193..85b7ff29 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -23,10 +23,6 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     apt-get install -y build-essential unzip cmake && \
     apt-get install -y libboost-dev libboost-program-options-dev libboost-system-dev libboost-thread-dev libboost-math-dev libboost-test-dev libboost-python-dev libboost-filesystem-dev zlib1g-dev && \
     pip install --upgrade pip && \
-    # enum34 is a backport of the Python 3.4 enum class to Python < 3.4.
-    # No need since we are using Python 3.7. This is causing errors for packages
-    # expecting the 3.7 version of enum. e.g. AttributeError: module 'enum' has no attribute 'IntFlag'
-    pip uninstall -y enum34 && \
     /tmp/clean-layer.sh
 
 # Make sure the dynamic linker finds the right libstdc++

From a8b0994bede0e85e9bf78b6be495066d01ef1bd4 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 27 Nov 2020 18:58:13 +0000
Subject: [PATCH 1050/1660] Upgrade to PyTorch 1.7

http://b/172491515
---
 Dockerfile     | 9 ++-------
 gpu.Dockerfile | 2 +-
 2 files changed, 3 insertions(+), 8 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index f9173193..15d23b66 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -45,9 +45,7 @@ RUN conda config --add channels conda-forge && \
     # ^ rapidsai is the highest priority channel, default lowest, conda-forge 2nd lowest.
     # 161473620#comment7 pin required to prevent resolver from picking pysal 1.x., pysal 2.2.x is also downloading data on import.
     conda install matplotlib basemap cartopy python-igraph imagemagick "pysal==2.1.0" && \
-    # b/142337634#comment22 pin required to avoid torchaudio downgrade.
-    # b/162357958##comment7 Upgrade once new versions of torch* libs are released for pytorch 1.6.
-    conda install "pytorch=1.6" "torchvision=0.7" "torchaudio=0.6" "torchtext=0.7" cpuonly && \
+    conda install "pytorch=1.7" "torchvision=0.8" "torchaudio=0.7" "torchtext=0.8" cpuonly && \
     /tmp/clean-layer.sh
 
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
@@ -374,10 +372,7 @@ RUN pip install bcolz && \
     pip install widgetsnbextension && \
     pip install pyarrow && \
     pip install feather-format && \
-    # b/172491515: Unpin after upgrading to torch 1.7
-    pip install fastai==2.0.19 && \
-    # b/172491515: Remove the next line after removing pin for fastai
-    pip install fastcore==1.3.2 && \
+    pip install fastai && \
     pip install allennlp && \
     python -m spacy download en && python -m spacy download en_core_web_lg && \
     apt-get install -y ffmpeg && \
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 2c0f2556..697cf951 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -61,7 +61,7 @@ RUN apt-get install -y ocl-icd-libopencl1 clinfo libboost-all-dev && \
 # However, because this image is based on the CPU image, this isn't possible but better
 # to put them at the top of this file to minize conflicts.
 RUN conda remove --force -y pytorch torchvision torchaudio cpuonly && \
-    conda install "pytorch=1.6" "torchvision=0.7" "torchaudio=0.6" "torchtext=0.7" "cudf=0.16" "cuml=0.16" cudatoolkit=$CUDA_VERSION && \
+    conda install "pytorch=1.7" "torchvision=0.8" "torchaudio=0.7" "torchtext=0.8" "cudf=0.16" "cuml=0.16" cudatoolkit=$CUDA_VERSION && \
     /tmp/clean-layer.sh
 
 # Install LightGBM with GPU

From 9cbafa5d44594ae25e4da7fbd737ae1fc6282a1e Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 27 Nov 2020 19:16:41 +0000
Subject: [PATCH 1051/1660] Remove unused/unmaintained packages

Packages unused on Kaggle in the last 365 days:

- pytagcloud
- lasagne
- pybrain
- mplleaflet
- Baker
- sacred
- heamy
- terminalplot
- kmeans-smote
- pyahocorasick
- conx

Packages with official unmaintained/deprecation notice on GitHub (and
unused):
- neon
- nolearn
- bcolz

Removed duplicated install command:

- nibabel
---
 Dockerfile | 37 +++++--------------------------------
 1 file changed, 5 insertions(+), 32 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index f9173193..5332ea1c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -52,7 +52,7 @@ RUN conda config --add channels conda-forge && \
 
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
 RUN pip install seaborn python-dateutil dask && \
-    pip install pyyaml joblib pytagcloud husl geopy ml_metrics mne pyshp && \
+    pip install pyyaml joblib husl geopy ml_metrics mne pyshp && \
     pip install pandas && \
     # Install h2o from source.
     # Use `conda install -c h2oai h2o` once Python 3.7 version is released to conda.
@@ -86,21 +86,12 @@ RUN apt-get install -y libfreetype6-dev && \
     pip install xgboost && \
     # Pinned to match GPU version. Update version together.
     pip install lightgbm==2.3.1 && \
-    pip install git+git://github.com/Lasagne/Lasagne.git && \
     pip install keras && \
     pip install keras-tuner && \
     pip install flake8 && \
-    #neon
-    cd /usr/local/src && \
-    git clone --depth 1 https://github.com/NervanaSystems/neon.git && \
-    cd neon && pip install . && \
-    #nolearn
-    pip install nolearn && \
     pip install Theano && \
-    pip install pybrain && \
     pip install python-Levenshtein && \
     pip install hep_ml && \
-    # chainer
     pip install chainer && \
     # NLTK Project datasets
     mkdir -p /usr/share/nltk_data && \
@@ -141,10 +132,6 @@ RUN pip install scipy && \
     # PUDB, for local debugging convenience
     pip install pudb && \
     pip install imbalanced-learn && \
-    # Convex Optimization library
-    # Latest version fails to install, see https://github.com/cvxopt/cvxopt/issues/77
-    #    and https://github.com/cvxopt/cvxopt/issues/80
-    # pip install cvxopt && \
     # Profiling and other utilities
     pip install line_profiler && \
     pip install orderedmultidict && \
@@ -170,7 +157,6 @@ RUN apt-get install -y libgl1-mesa-glx && \
     /tmp/clean-layer.sh
 
 RUN pip install mpld3 && \
-    pip install mplleaflet && \
     pip install gpxpy && \
     pip install arrow && \
     pip install nilearn && \
@@ -179,7 +165,6 @@ RUN pip install mpld3 && \
     pip install markovify && \
     pip install imgaug && \
     pip install preprocessing && \
-    pip install Baker && \
     pip install path.py && \
     pip install Geohash && \
     # https://github.com/vinsci/geohash/issues/4
@@ -189,7 +174,6 @@ RUN pip install mpld3 && \
     pip install scikit-optimize && \
     pip install haversine && \
     pip install toolz cytoolz && \
-    pip install sacred && \
     pip install plotly && \
     pip install hyperopt && \
     pip install fitter && \
@@ -197,7 +181,6 @@ RUN pip install mpld3 && \
     # Delorean. Useful for dealing with datetime
     pip install delorean && \
     pip install trueskill && \
-    pip install heamy && \
     # Useful data exploration libraries (for missing data and generating reports)
     pip install missingno && \
     pip install pandas-profiling && \
@@ -218,7 +201,6 @@ RUN pip install mpld3 && \
     pip install spectral && \
     pip install descartes && \
     pip install geojson && \
-    pip install terminalplot && \
     pip install pydicom && \
     pip install wavio && \
     pip install SimpleITK && \
@@ -237,14 +219,11 @@ RUN pip install mpld3 && \
     pip install geoviews && \
     pip install hypertools && \
     pip install py_stringsimjoin && \
-    pip install nibabel && \
     pip install mlens && \
     pip install scikit-multilearn && \
     pip install cleverhans && \
     pip install leven && \
     pip install catboost && \
-    # fastFM doesn't support Python 3.7 yet: https://github.com/ibayer/fastFM/issues/151
-    # pip install fastFM && \
     pip install lightfm && \
     pip install folium && \
     pip install scikit-plot && \
@@ -260,12 +239,12 @@ RUN pip install mpld3 && \
     pip install kaggle && \
     /tmp/clean-layer.sh
 
-RUN pip install kmeans-smote --no-dependencies && \
+RUN pip install tensorpack && \   
     # Add google PAIR-code Facets
     cd /opt/ && git clone https://github.com/PAIR-code/facets && cd facets/ && jupyter nbextension install facets-dist/ --user && \
     export PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/ && \
-    pip install tensorpack && \
-    pip install pycountry && pip install iso3166 && \
+    pip install pycountry && \
+    pip install iso3166 && \
     pip install pydash && \
     pip install kmodes --no-dependencies && \
     pip install librosa && \
@@ -303,23 +282,18 @@ RUN pip install --upgrade cython && \
     # Pandas data reader
     pip install pandas-datareader && \
     pip install wordsegment && \
-    pip install pyahocorasick && \
     pip install wordbatch && \
     pip install emoji && \
     # Add Japanese morphological analysis engine
     pip install janome && \
     pip install wfdb && \
     pip install vecstack && \
-    # Doesn't support Python 3.7 yet. Last release on pypi is from 2017.
-    # Add back once this PR is released: https://github.com/scikit-learn-contrib/lightning/pull/133
-    # pip install sklearn-contrib-lightning && \
     # yellowbrick machine learning visualization library
     pip install yellowbrick && \
     pip install mlcrate && \
     /tmp/clean-layer.sh
 
-RUN pip install bcolz && \
-    pip install bleach && \
+RUN pip install bleach && \
     pip install certifi && \
     pip install cycler && \
     pip install decorator && \
@@ -409,7 +383,6 @@ RUN pip install flashtext && \
     # b/167220714 unpin once matplotlib >= 3.3 is installed in the base image.
     pip install tensorforce==0.5.5 && \
     pip install pyarabic && \
-    pip install conx && \
     pip install pandasql && \
     pip install tensorflow_hub && \
     pip install jieba  && \

From 79dffe5c118f9cdd1eccef15af677d7fb5849e58 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 25 Nov 2020 18:00:07 +0000
Subject: [PATCH 1052/1660] Upgrade JAX to 0.2.6

http://b/174243372
---
 gpu.Dockerfile | 11 +----------
 1 file changed, 1 insertion(+), 10 deletions(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 2c0f2556..cb634c1d 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -80,16 +80,7 @@ RUN pip uninstall -y lightgbm && \
     /tmp/clean-layer.sh
 
 # Install JAX
-# b/154150582#comment9: JAX 0.1.63 with jaxlib 0.1.43 is causing the GPU tests to hang.
-ENV JAX_VERSION=0.1.62
-ENV JAXLIB_VERSION=0.1.41
-ENV JAX_PYTHON_VERSION=cp37
-ENV JAX_CUDA_VERSION=cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION
-ENV JAX_PLATFORM=linux_x86_64
-ENV JAX_BASE_URL="https://storage.googleapis.com/jax-releases"
-
-RUN  pip install $JAX_BASE_URL/$JAX_CUDA_VERSION/jaxlib-$JAXLIB_VERSION-$JAX_PYTHON_VERSION-none-$JAX_PLATFORM.whl && \
-     pip install jax==$JAX_VERSION && \
+RUN  pip install jax==0.2.6 jaxlib==0.1.57+cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION -f https://storage.googleapis.com/jax-releases/jax_releases.html && \
      /tmp/clean-layer.sh
 
 # Reinstall packages with a separate version for GPU support.

From bdcf6e2ce5fc692d96f093be56ea9166ef52feb6 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 27 Nov 2020 21:48:06 +0000
Subject: [PATCH 1053/1660] remove lasagne test

---
 tests/test_lasagne.py | 15 ---------------
 1 file changed, 15 deletions(-)
 delete mode 100644 tests/test_lasagne.py

diff --git a/tests/test_lasagne.py b/tests/test_lasagne.py
deleted file mode 100644
index 08e9dbf8..00000000
--- a/tests/test_lasagne.py
+++ /dev/null
@@ -1,15 +0,0 @@
-import unittest
-
-import lasagne
-import theano.tensor as T
-
-class TestLasagne(unittest.TestCase):
-    def test_network_definition(self):
-        input_var = T.tensor4('X')
-
-        network = lasagne.layers.InputLayer((None, 3, 32, 32), input_var)
-        network = lasagne.layers.Conv2DLayer(network, 64, (3, 3))
-
-        params = lasagne.layers.get_all_params(network, trainable=True)
-
-        self.assertEqual(2, len(params))

From db0e1700c888fd96eed43b8ffcafd4efa456a2b1 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 27 Nov 2020 22:14:14 +0000
Subject: [PATCH 1054/1660] Install bayesian-optimization from pip archive &
 add tests

---
 Dockerfile              |  2 +-
 tests/test_bayes_opt.py | 32 ++++++++++++++++++++++++++++++++
 2 files changed, 33 insertions(+), 1 deletion(-)
 create mode 100644 tests/test_bayes_opt.py

diff --git a/Dockerfile b/Dockerfile
index 2e8c5d3b..a930bd6c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -196,7 +196,7 @@ RUN pip install mpld3 && \
     pip install missingno && \
     pip install pandas-profiling && \
     pip install s2sphere && \
-    pip install git+https://github.com/fmfn/BayesianOptimization.git && \
+    pip install bayesian-optimization && \
     pip install matplotlib-venn && \
     pip install pyldavis && \
     pip install mlxtend && \
diff --git a/tests/test_bayes_opt.py b/tests/test_bayes_opt.py
new file mode 100644
index 00000000..99af8aea
--- /dev/null
+++ b/tests/test_bayes_opt.py
@@ -0,0 +1,32 @@
+import unittest
+
+from bayes_opt import BayesianOptimization
+
+
+class TestBayesOpt(unittest.TestCase):
+    def test_optimize(self):
+        # Bounded region of parameter space
+        pbounds = {'x': (2, 4), 'y': (-3, 3)}
+
+        optimizer = BayesianOptimization(
+            f=black_box_function,
+            pbounds=pbounds,
+            random_state=1,
+        )
+
+        optimizer.maximize(
+            init_points=2,
+            n_iter=1,
+        )       
+
+        self.assertAlmostEqual(-7, optimizer.max['target'], places=0) # compares using 0 decimal
+    
+
+def black_box_function(x, y):
+    """Function with unknown internals we wish to maximize.
+
+    This is just serving as an example, for all intents and
+    purposes think of the internals of this function, i.e.: the process
+    which generates its output values, as unknown.
+    """
+    return -x ** 2 - (y - 1) ** 2 + 1
\ No newline at end of file

From 4c68822ea4d931db052337621fa588522e4dd696 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 27 Nov 2020 22:18:39 +0000
Subject: [PATCH 1055/1660] install openslide & category-encoders from pip
 archive

---
 Dockerfile                      | 6 ++----
 tests/test_category_encoders.py | 8 ++++----
 2 files changed, 6 insertions(+), 8 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index a930bd6c..a92ca383 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -283,8 +283,7 @@ RUN pip install --upgrade cython && \
     pip install fasttext && \
     apt-get install -y libhunspell-dev && pip install hunspell && \
     pip install annoy && \
-    # Need to use CountEncoder from category_encoders before it's officially released
-    pip install git+https://github.com/scikit-learn-contrib/categorical-encoding.git && \
+    pip install category_encoders && \
     # google-cloud-automl 2.0.0 introduced incompatible API changes, need to pin to 1.0.1
     pip install google-cloud-automl==1.0.1 && \
     # Newer version crashes (latest = 1.14.0) when running tensorflow.
@@ -347,8 +346,7 @@ RUN pip install bcolz && \
     pip install --upgrade Pillow && \
     # Install openslide and its python binding
     apt-get install -y openslide-tools && \
-    # b/152402322 install latest from pip once is in: https://github.com/openslide/openslide-python/pull/76
-    pip install git+git://github.com/rosbo/openslide-python.git@fix-setup && \
+    pip install openslide-python && \
     pip install ptyprocess && \
     pip install Pygments && \
     pip install pyparsing && \
diff --git a/tests/test_category_encoders.py b/tests/test_category_encoders.py
index 54d6024e..4aced160 100644
--- a/tests/test_category_encoders.py
+++ b/tests/test_category_encoders.py
@@ -1,12 +1,12 @@
 import unittest
 
+from category_encoders import CountEncoder
+import pandas as pd
+
+
 ## Need to make sure we have CountEncoder available from the category_encoders library
 class TestCategoryEncoders(unittest.TestCase):
     def test_count_encoder(self):
-
-        from category_encoders import CountEncoder
-        import pandas as pd
-
         encoder = CountEncoder(cols="data")
 
         data = pd.DataFrame([1, 2, 3, 1, 4, 5, 3, 1], columns=["data"])

From 2a3db411ac460961e759d1af14790a25974bfa88 Mon Sep 17 00:00:00 2001
From: marketneutral <jonathan.r.larkin@gmail.com>
Date: Tue, 1 Dec 2020 19:19:47 +0000
Subject: [PATCH 1056/1660] Add datatable and tests

---
 Dockerfile               |  1 +
 tests/test_datatable.py  | 17 +++++++++++++++++
 tests/test_datatable.py~ | 16 ++++++++++++++++
 3 files changed, 34 insertions(+)
 create mode 100644 tests/test_datatable.py
 create mode 100644 tests/test_datatable.py~

diff --git a/Dockerfile b/Dockerfile
index f411e644..c0d58c89 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -411,6 +411,7 @@ RUN pip install flashtext && \
     pip install pydub && \
     pip install pydegensac && \
     pip install pytorch-lightning && \
+    pip install datatable && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages
diff --git a/tests/test_datatable.py b/tests/test_datatable.py
new file mode 100644
index 00000000..ec68ce12
--- /dev/null
+++ b/tests/test_datatable.py
@@ -0,0 +1,17 @@
+import unittest
+import datatable as dt
+from datatable.internal import frame_integrity_check
+from datatable import ltype
+
+class TestDatatable(unittest.TestCase):    
+    def test_fread(self):
+        d0 = dt.fread(
+            "L,T,U,D\n"
+            "true,True,TRUE,1\n"
+            "false,False,FALSE,0\n"
+            ",,,\n"
+        )
+        frame_integrity_check(d0)
+        assert d0.shape == (3, 4)
+        assert d0.ltypes == (ltype.bool,) * 4
+        assert d0.to_list() == [[True, False, None]] * 4
diff --git a/tests/test_datatable.py~ b/tests/test_datatable.py~
new file mode 100644
index 00000000..efbd2a3f
--- /dev/null
+++ b/tests/test_datatable.py~
@@ -0,0 +1,16 @@
+import unittest
+import datatable as dt
+from datatable.internal import frame_integrity_check
+
+class TestDatatable(unittest.TestCase):    
+    def test_fread(self):
+        d0 = dt.fread(
+            "L,T,U,D\n"
+            "true,True,TRUE,1\n"
+            "false,False,FALSE,0\n"
+            ",,,\n"
+        )
+        frame_integrity_check(d0)
+        assert d0.shape == (3, 4)
+        assert d0.ltypes == (ltype.bool,) * 4
+        assert d0.to_list() == [[True, False, None]] * 4

From 4bcce7f1101102e199f0a30b394813702765f03d Mon Sep 17 00:00:00 2001
From: marketneutral <jonathan.r.larkin@gmail.com>
Date: Tue, 1 Dec 2020 19:24:26 +0000
Subject: [PATCH 1057/1660] Remove old test file

---
 tests/test_datatable.py~ | 16 ----------------
 1 file changed, 16 deletions(-)
 delete mode 100644 tests/test_datatable.py~

diff --git a/tests/test_datatable.py~ b/tests/test_datatable.py~
deleted file mode 100644
index efbd2a3f..00000000
--- a/tests/test_datatable.py~
+++ /dev/null
@@ -1,16 +0,0 @@
-import unittest
-import datatable as dt
-from datatable.internal import frame_integrity_check
-
-class TestDatatable(unittest.TestCase):    
-    def test_fread(self):
-        d0 = dt.fread(
-            "L,T,U,D\n"
-            "true,True,TRUE,1\n"
-            "false,False,FALSE,0\n"
-            ",,,\n"
-        )
-        frame_integrity_check(d0)
-        assert d0.shape == (3, 4)
-        assert d0.ltypes == (ltype.bool,) * 4
-        assert d0.to_list() == [[True, False, None]] * 4

From 914c4d3e0b00f073217aefe8ef5e28e0ae7cc350 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 7 Dec 2020 13:34:45 -0800
Subject: [PATCH 1058/1660] Remove dask xgboost

Fixes #911.

This package only works with xgboost <= 0.90: https://github.com/dask/dask-xgboost/blob/master/requirements.txt#L1

BUG=175051617
---
 Dockerfile | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index c0d58c89..ddf08fff 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -229,7 +229,6 @@ RUN pip install mpld3 && \
     pip install geoplot && \
     pip install eli5 && \
     pip install implicit && \
-    pip install dask-ml[xgboost] && \
     pip install kaggle && \
     /tmp/clean-layer.sh
 

From d60116aecbb6935fae508c94905a335fdb0603bb Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 7 Dec 2020 23:55:57 +0000
Subject: [PATCH 1059/1660] Add xgboost version regression test.

BUG=175051617
---
 tests/test_xgboost.py | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/tests/test_xgboost.py b/tests/test_xgboost.py
index e1bc12f8..00e1beb4 100644
--- a/tests/test_xgboost.py
+++ b/tests/test_xgboost.py
@@ -1,9 +1,16 @@
 import unittest
 
+import xgboost
+
+from distutils.version import StrictVersion
 from sklearn import datasets
 from xgboost import XGBClassifier
 
 class TestXGBoost(unittest.TestCase):
+    def test_version(self):
+        # b/175051617 prevent xgboost version downgrade.
+        self.assertGreaterEqual(StrictVersion(xgboost.__version__), StrictVersion("1.2.1"))
+
     def test_classifier(self):
         boston = datasets.load_boston()
         X, y = boston.data, boston.target

From 320ca5dd5f6ff744abac920def3f2ba37339a75b Mon Sep 17 00:00:00 2001
From: Marco Gorelli <m.e.gorelli@gmail.com>
Date: Fri, 11 Dec 2020 16:26:00 +0000
Subject: [PATCH 1060/1660] Replace theano with theano-pymc

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index ddf08fff..3261e24c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -83,7 +83,7 @@ RUN apt-get install -y libfreetype6-dev && \
     pip install keras && \
     pip install keras-tuner && \
     pip install flake8 && \
-    pip install Theano && \
+    pip install theano-pymc && \
     pip install python-Levenshtein && \
     pip install hep_ml && \
     pip install chainer && \

From c2db69a517f3aec4966e92d58fe7c0685134fc8c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 14 Dec 2020 23:59:55 +0000
Subject: [PATCH 1061/1660] Pin nnabla to 1.13

The latest version (1.14) only works with cuDNN 8.x. However, we are
using 7.x. I filed a bug to look into upgrading cuDNN.

For now, pinning to 1.13 to make it work with cuDNN 7.x.

BUG=175636822
---
 Dockerfile     | 3 ++-
 gpu.Dockerfile | 3 ++-
 2 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index ddf08fff..8eaeba46 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -400,7 +400,8 @@ RUN pip install flashtext && \
     pip install dlib && \
     pip install kaggle-environments && \
     pip install geopandas && \
-    pip install nnabla && \
+    # b/175638062 remove pin once we update to cuDNN 8.x
+    pip install nnabla==1.13.0 && \
     pip install vowpalwabbit && \
     # papermill can replace nbconvert for executing notebooks
     pip install papermill && \
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index d5310cd3..be7e3782 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -103,7 +103,8 @@ RUN pip install /tmp/tfa_gpu/tensorflow*.whl && \
 RUN pip install pycuda && \
     pip install cupy-cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \
     pip install pynvrtc && \
-    pip install nnabla-ext-cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \
+    # b/175638062 remove pin once we update to cuDNN 8.x
+    pip install nnabla-ext-cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION==1.13.0 && \
     /tmp/clean-layer.sh
 
 # Re-add TensorBoard Jupyter extension patch

From e056efa971a2b6fff81114ccbfd9362759dbaa22 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 15 Dec 2020 00:16:10 +0000
Subject: [PATCH 1062/1660] Remove chainer.

Development efforts have stopped a year ago:
- https://chainer.org/announcement/2019/12/05/released-v7.html

tl;dr; Preferred Networks, the company behind chainer switched to
Pytorch and stoped further development.

Chainer is now incompatible with our newer version of cuda.

Usage on Kaggle notebooks in very low. Users can still install the
package manually if they want to.
---
 Dockerfile                      |  3 ---
 tests/test_chainer_chemistry.py | 19 ------------------
 tests/test_chainercv.py         | 35 ---------------------------------
 3 files changed, 57 deletions(-)
 delete mode 100644 tests/test_chainer_chemistry.py
 delete mode 100644 tests/test_chainercv.py

diff --git a/Dockerfile b/Dockerfile
index ebc368ec..e82f055b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -86,7 +86,6 @@ RUN apt-get install -y libfreetype6-dev && \
     pip install theano-pymc && \
     pip install python-Levenshtein && \
     pip install hep_ml && \
-    pip install chainer && \
     # NLTK Project datasets
     mkdir -p /usr/share/nltk_data && \
     # NLTK Downloader no longer continues smoothly after an error, so we explicitly list
@@ -384,8 +383,6 @@ RUN pip install flashtext && \
     pip install tsfresh && \
     pip install pykalman && \
     pip install optuna && \
-    pip install chainercv && \
-    pip install chainer-chemistry && \
     pip install plotly_express && \
     pip install albumentations && \
     pip install catalyst && \
diff --git a/tests/test_chainer_chemistry.py b/tests/test_chainer_chemistry.py
deleted file mode 100644
index c1e99838..00000000
--- a/tests/test_chainer_chemistry.py
+++ /dev/null
@@ -1,19 +0,0 @@
-import numpy
-import unittest
-
-from chainer import cuda
-
-from chainer_chemistry.models.mlp import MLP
-
-
-class TestChainerChemistry(unittest.TestCase):
-
-    def test_mlp(self):
-        batch_size = 2
-        input_dim = 16
-        out_dim = 4
-
-        model = MLP(out_dim=out_dim)
-        data = numpy.random.rand(batch_size, input_dim).astype(numpy.float32)
-        y_actual = cuda.to_cpu(model(data).data)
-        assert y_actual.shape == (batch_size, out_dim)
diff --git a/tests/test_chainercv.py b/tests/test_chainercv.py
deleted file mode 100644
index 0adfbafc..00000000
--- a/tests/test_chainercv.py
+++ /dev/null
@@ -1,35 +0,0 @@
-from __future__ import division
-import math
-import numpy
-import unittest
-
-from chainercv.utils import tile_images
-
-
-class TestChainerCV(unittest.TestCase):
-
-    def test_tile_images(self):
-        B = numpy.random.randint(10, 20)
-        n_col = numpy.random.randint(2, 5)
-        H = 30
-        W = 40
-        fill = 128
-        pad = 0
-
-        imgs = numpy.random.uniform(255, size=(B, 3, H, W))
-        tile = tile_images(imgs, n_col, pad, fill=fill)
-
-        if isinstance(pad, int):
-            pad_y = pad
-            pad_x = pad
-        else:
-            pad_y, pad_x = pad
-        n_row = int(math.ceil(B / n_col))
-        self.assertTrue(n_col >= 1 and n_row >= 1)
-        start_y_11 = H + pad_y + pad_y // 2
-        start_x_11 = W + pad_x + pad_x // 2
-        tile_11 = tile[:,
-                       start_y_11:start_y_11 + H,
-                       start_x_11:start_x_11 + W]
-
-        numpy.testing.assert_equal(tile_11, imgs[(n_col - 1) + 2])

From fe0bc4e669842ee6d6794553c6c6c5ba47e40d01 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 15 Dec 2020 00:24:43 +0000
Subject: [PATCH 1063/1660] Remove --no-deps from mxnet installation.

The latest version do not downgrade numpy anymore: https://github.com/apache/incubator-mxnet/blob/master/python/setup.py#L33
---
 gpu.Dockerfile | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index be7e3782..9592eb77 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -89,8 +89,7 @@ RUN pip uninstall -y tensorflow && \
     pip install /tmp/tensorflow_gpu/tensorflow*.whl && \
     rm -rf /tmp/tensorflow_gpu && \
     pip uninstall -y mxnet && \
-    # b/126259508 --no-deps prevents numpy from being downgraded.
-    pip install --no-deps mxnet-cu$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \
+    pip install mxnet-cu$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \
     /tmp/clean-layer.sh
 
  # Reinstall TensorFlow addons (TFA) with GPU support.

From fcbe1e2d9858d429b76cc551844a349abfaf8f23 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 16 Dec 2020 17:54:40 +0000
Subject: [PATCH 1064/1660] Disable JAX memory preallocation

This is causing other GPU library tests to fail because no GPU memory is
available with errors like:

```
lightgbm.basic.LightGBMError: Memory Object Allocation Failure
```

BUG=173553533
---
 test | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/test b/test
index 08abd6a7..568df4c9 100755
--- a/test
+++ b/test
@@ -88,6 +88,11 @@ fi
 # This is causing issue when other libraries are trying to run tests using a GPU.
 # See: https://www.tensorflow.org/guide/gpu#allowing_gpu_memory_growth
 #
+# Note about `XLA_PYTHON_CLIENT_PREALLOCATE`. By default, JAX preallocates 90%
+# of the GPU memory which is causing issues when other libraries are trying to run
+# tests using a GPU.
+# See: https://jax.readthedocs.io/en/latest/gpu_memory_allocation.html
+#
 # Note about `--hostname localhost` (b/158137436)
 # hostname defaults to the container name which fails DNS name
 # resolution with --net=none (required to keep tests hermetic). See details in bug.
@@ -98,6 +103,7 @@ docker run --rm -t --read-only --net=none \
     -e KAGGLE_DATA_PROXY_URL=http://127.0.0.1:8000 \
     -e KAGGLE_DATA_PROXY_PROJECT=test \
     -e TF_FORCE_GPU_ALLOW_GROWTH=true \
+    -e XLA_PYTHON_CLIENT_PREALLOCATE=false \
     --hostname localhost \
     --shm-size=2g \
     -v $PWD:/input:ro -v /tmp/python-build/working:/working \

From a84265aba268cf87282a185ce3b423c3b1984821 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 15 Dec 2020 23:01:55 +0000
Subject: [PATCH 1065/1660] Upgrade LightGBM to v3.1.1

Fixes #909.

BUG=175727746
---
 Dockerfile     | 2 +-
 gpu.Dockerfile | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index e82f055b..6788bcae 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -79,7 +79,7 @@ RUN apt-get install -y libfreetype6-dev && \
     pip install wordcloud && \
     pip install xgboost && \
     # Pinned to match GPU version. Update version together.
-    pip install lightgbm==2.3.1 && \
+    pip install lightgbm==3.1.1 && \
     pip install keras && \
     pip install keras-tuner && \
     pip install flake8 && \
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 9592eb77..a9ab9ed8 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -69,7 +69,7 @@ RUN pip uninstall -y lightgbm && \
     cd /usr/local/src && \
     git clone --recursive https://github.com/microsoft/LightGBM && \
     cd LightGBM && \
-    git checkout tags/v2.3.1 && \
+    git checkout tags/v3.1.1 && \
     mkdir build && cd build && \
     cmake -DUSE_GPU=1 -DOpenCL_LIBRARY=/usr/local/cuda/lib64/libOpenCL.so -DOpenCL_INCLUDE_DIR=/usr/local/cuda/include/ .. && \
     make -j$(nproc) && \

From 702d5ac3ffc7886f295d963f8420cb21f4010648 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 15 Dec 2020 23:29:15 +0000
Subject: [PATCH 1066/1660] Use .csv files in tests rather than binary format.

The binary format is not meant to be compatible between versions.
---
 tests/data/lgb_test.bin  | Bin 1528 -> 0 bytes
 tests/data/lgb_test.csv  | 100 +++++++++++++++++++++++++++++++++++++++
 tests/data/lgb_train.bin | Bin 1903 -> 0 bytes
 tests/data/lgb_train.csv | 100 +++++++++++++++++++++++++++++++++++++++
 tests/test_lightgbm.py   |  23 +++++++--
 5 files changed, 218 insertions(+), 5 deletions(-)
 delete mode 100644 tests/data/lgb_test.bin
 create mode 100644 tests/data/lgb_test.csv
 delete mode 100644 tests/data/lgb_train.bin
 create mode 100644 tests/data/lgb_train.csv

diff --git a/tests/data/lgb_test.bin b/tests/data/lgb_test.bin
deleted file mode 100644
index 55f068339807baccfc8e51a4c0f4558c249ed695..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 1528
zcmdT^J8u**5OywmyXSqJ*WSy6M?*smxggQm3KCF2N57&-!ijK^5EQBIS5N>o4T?mK
zM1e$w6c7cX;t$ZR5QqpNf$jO6vmk<+IeBJw=Cl3Hcyw*+<l1EW*1anm*V~QB^yb~Y
z_VQ$Bv%Rr<dvog3ZGLuvd0DeM!J-IbJvcq~=%JHO+C>)a!Y04NeFtQSI~%apJyt42
z&%mz3UX9T4InIyQ9M);_|Fl1UlYs?Z+TFQ-XWE{N{PU5&7Ww1(9pt@7z;!DUWBvbr
zJqrc7CWprfF>h%Kp6fRUPJW>4?B$aOPcL2=J9(wuX2#y>?JXxC^jnYp2-_k48MrU{
zv7fB3dfo5;2HYWV-^0t!{4q}LJN4pV|FyGLj%Lx_Jo2|6t2*r&ZH)}lo;K0_H;qs-
z(d358D-FemhRP6z@-@C|L+49FZIH+-<Q4J_@(s9kv&M@c6SQhn(<r-wL~e5!s&-d4
z;Ul)b!((YEb{dwRFYu!}6zZGvqPj-lJp%6~@Lob)%g8Syzk+jCkY7c974Z{@p9KCC
zICV2oDp9LMNmbXXD6LYJ%9W5x46UzfF|>fn=1V1|s71x7)$||nmpNdD#yIqW>Zi>;
zyk`$Q7r`?zG~RviOo2;*%YYjI$AQa%%YiF^D}k$k8y?M3m>+thZdRszz<DxAM3M3&
eE4b`06j_#*MaJz<W?7$CInVPvElQs7ivI#7;zs2F

diff --git a/tests/data/lgb_test.csv b/tests/data/lgb_test.csv
new file mode 100644
index 00000000..61bd41de
--- /dev/null
+++ b/tests/data/lgb_test.csv
@@ -0,0 +1,100 @@
+1	0.644	0.247	-0.447	0.862	0.374	0.854	-1.126	-0.790	2.173	1.015	-0.201	1.400	0.000	1.575	1.807	1.607	0.000	1.585	-0.190	-0.744	3.102	0.958	1.061	0.980	0.875	0.581	0.905	0.796
+0	0.385	1.800	1.037	1.044	0.349	1.502	-0.966	1.734	0.000	0.966	-1.960	-0.249	0.000	1.501	0.465	-0.354	2.548	0.834	-0.440	0.638	3.102	0.695	0.909	0.981	0.803	0.813	1.149	1.116
+0	1.214	-0.166	0.004	0.505	1.434	0.628	-1.174	-1.230	1.087	0.579	-1.047	-0.118	0.000	0.835	0.340	1.234	2.548	0.711	-1.383	1.355	0.000	0.848	0.911	1.043	0.931	1.058	0.744	0.696
+1	0.420	1.111	0.137	1.516	-1.657	0.854	0.623	1.605	1.087	1.511	-1.297	0.251	0.000	0.872	-0.368	-0.721	0.000	0.543	0.731	1.424	3.102	1.597	1.282	1.105	0.730	0.148	1.231	1.234
+0	0.897	-1.703	-1.306	1.022	-0.729	0.836	0.859	-0.333	2.173	1.336	-0.965	0.972	2.215	0.671	1.021	-1.439	0.000	0.493	-2.019	-0.289	0.000	0.805	0.930	0.984	1.430	2.198	1.934	1.684
+0	0.756	1.126	-0.945	2.355	-0.555	0.889	0.800	1.440	0.000	0.585	0.271	0.631	2.215	0.722	1.744	1.051	0.000	0.618	0.924	0.698	1.551	0.976	0.864	0.988	0.803	0.234	0.822	0.911
+0	1.141	-0.741	0.953	1.478	-0.524	1.197	-0.871	1.689	2.173	0.875	1.321	-0.518	1.107	0.540	0.037	-0.987	0.000	0.879	1.187	0.245	0.000	0.888	0.701	1.747	1.358	2.479	1.491	1.223
+1	0.606	-0.936	-0.384	1.257	-1.162	2.719	-0.600	0.100	2.173	3.303	-0.284	1.561	1.107	0.689	1.786	-0.326	0.000	0.780	-0.532	1.216	0.000	0.936	2.022	0.985	1.574	4.323	2.263	1.742
+1	0.603	0.429	-0.279	1.448	1.301	1.008	2.423	-1.295	0.000	0.452	1.305	0.533	0.000	1.076	1.011	1.256	2.548	2.021	1.260	-0.343	0.000	0.890	0.969	1.281	0.763	0.652	0.827	0.785
+0	1.171	-0.962	0.521	0.841	-0.315	1.196	-0.744	-0.882	2.173	0.726	-1.305	1.377	1.107	0.643	-1.790	-1.264	0.000	1.257	0.222	0.817	0.000	0.862	0.911	0.987	0.846	1.293	0.899	0.756
+1	1.392	-0.358	0.235	1.494	-0.461	0.895	-0.848	1.549	2.173	0.841	-0.384	0.666	1.107	1.199	2.509	-0.891	0.000	1.109	-0.364	-0.945	0.000	0.693	2.135	1.170	1.362	0.959	2.056	1.842
+1	1.024	1.076	-0.886	0.851	1.530	0.673	-0.449	0.187	1.087	0.628	-0.895	1.176	2.215	0.696	-0.232	-0.875	0.000	0.411	1.501	0.048	0.000	0.842	0.919	1.063	1.193	0.777	0.964	0.807
+1	0.890	-0.760	1.182	1.369	0.751	0.696	-0.959	-0.710	1.087	0.775	-0.130	-1.409	2.215	0.701	-0.110	-0.739	0.000	0.508	-0.451	0.390	0.000	0.762	0.738	0.998	1.126	0.788	0.940	0.790
+1	0.460	0.537	0.636	1.442	-0.269	0.585	0.323	-1.731	2.173	0.503	1.034	-0.927	0.000	0.928	-1.024	1.006	2.548	0.513	-0.618	-1.336	0.000	0.802	0.831	0.992	1.019	0.925	1.056	0.833
+1	0.364	1.648	0.560	1.720	0.829	1.110	0.811	-0.588	0.000	0.408	1.045	1.054	2.215	0.319	-1.138	1.545	0.000	0.423	1.025	-1.265	3.102	1.656	0.928	1.003	0.544	0.327	0.670	0.746
+1	0.525	-0.096	1.206	0.948	-1.103	1.519	-0.582	0.606	2.173	1.274	-0.572	-0.934	0.000	0.855	-1.028	-1.222	0.000	0.578	-1.000	-1.725	3.102	0.896	0.878	0.981	0.498	0.909	0.772	0.668
+0	0.536	-0.821	-1.029	0.703	1.113	0.363	-0.711	0.022	1.087	0.325	1.503	1.249	2.215	0.673	1.041	-0.401	0.000	0.480	2.127	1.681	0.000	0.767	1.034	0.990	0.671	0.836	0.669	0.663
+1	1.789	-0.583	1.641	0.897	0.799	0.515	-0.100	-1.483	0.000	1.101	0.031	-0.326	2.215	1.195	0.001	0.126	2.548	0.768	-0.148	0.601	0.000	0.916	0.921	1.207	1.069	0.483	0.934	0.795
+1	1.332	-0.571	0.986	0.580	1.508	0.582	0.634	-0.746	1.087	1.084	-0.964	-0.489	0.000	0.785	0.274	0.343	2.548	0.779	0.721	1.489	0.000	1.733	1.145	0.990	1.270	0.715	0.897	0.915
+0	1.123	0.629	-1.708	0.597	-0.882	0.752	0.195	1.522	2.173	1.671	1.515	-0.003	0.000	0.778	0.514	0.139	1.274	0.801	1.260	1.600	0.000	1.495	0.976	0.988	0.676	0.921	1.010	0.943
+0	1.816	-0.515	0.171	0.980	-0.454	0.870	0.202	-1.399	2.173	1.130	1.066	-1.593	0.000	0.844	0.735	1.275	2.548	1.125	-1.133	0.348	0.000	0.837	0.693	0.988	1.112	0.784	1.009	0.974
+1	0.364	0.694	0.445	1.862	0.159	0.963	-1.356	1.260	1.087	0.887	-0.540	-1.533	2.215	0.658	-2.544	-1.236	0.000	0.516	-0.807	0.039	0.000	0.891	1.004	0.991	1.092	0.976	1.000	0.953
+1	0.790	-1.175	0.475	1.846	0.094	0.999	-1.090	0.257	0.000	1.422	0.854	1.112	2.215	1.302	1.004	-1.702	1.274	2.557	-0.787	-1.048	0.000	0.890	1.429	0.993	2.807	0.840	2.248	1.821
+1	0.765	-0.500	-0.603	1.843	-0.560	1.068	0.007	0.746	2.173	1.154	-0.017	1.329	0.000	1.165	1.791	-1.585	0.000	1.116	0.441	-0.886	0.000	0.774	0.982	0.989	1.102	0.633	1.178	1.021
+1	1.407	1.293	-1.418	0.502	-1.527	2.005	-2.122	0.622	0.000	1.699	1.508	-0.649	2.215	1.665	0.748	-0.755	0.000	2.555	0.811	1.423	1.551	7.531	5.520	0.985	1.115	1.881	4.487	3.379
+1	0.772	-0.186	-1.372	0.823	-0.140	0.781	0.763	0.046	2.173	1.128	0.516	1.380	0.000	0.797	-0.640	-0.134	2.548	2.019	-0.972	-1.670	0.000	2.022	1.466	0.989	0.856	0.808	1.230	0.991
+1	0.546	-0.954	0.715	1.335	-1.689	0.783	-0.443	-1.735	2.173	1.081	0.185	-0.435	0.000	1.433	-0.662	-0.389	0.000	0.969	0.924	1.099	0.000	0.910	0.879	0.988	0.683	0.753	0.878	0.865
+1	0.596	0.276	-1.054	1.358	1.355	1.444	1.813	-0.208	0.000	1.175	-0.949	-1.573	0.000	0.855	-1.228	-0.925	2.548	1.837	-0.400	0.913	0.000	0.637	0.901	1.028	0.553	0.790	0.679	0.677
+0	0.458	2.292	1.530	0.291	1.283	0.749	-0.930	-0.198	0.000	0.300	-1.560	0.990	0.000	0.811	-0.176	0.995	2.548	1.085	-0.178	-1.213	3.102	0.891	0.648	0.999	0.732	0.655	0.619	0.620
+0	0.638	-0.575	-1.048	0.125	0.178	0.846	-0.753	-0.339	1.087	0.799	-0.727	1.182	0.000	0.888	0.283	0.717	0.000	1.051	-1.046	-1.557	3.102	0.889	0.871	0.989	0.884	0.923	0.836	0.779
+1	0.434	-1.119	-0.313	2.427	0.461	0.497	0.261	-1.177	2.173	0.618	-0.737	-0.688	0.000	1.150	-1.237	-1.652	2.548	0.757	-0.054	1.700	0.000	0.809	0.741	0.982	1.450	0.936	1.086	0.910
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diff --git a/tests/data/lgb_train.csv b/tests/data/lgb_train.csv
new file mode 100644
index 00000000..cb1874a6
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+++ b/tests/data/lgb_train.csv
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+1	0.976	0.291	-1.128	0.668	-0.540	0.950	2.026	1.060	0.000	0.678	-0.571	1.307	2.215	1.199	1.293	-0.273	0.000	0.602	1.124	0.825	3.102	1.891	1.026	0.990	0.814	0.693	1.131	1.181
+1	0.535	-1.391	-0.825	1.343	-1.449	1.111	-0.852	-0.484	0.000	1.677	-0.700	1.069	2.215	0.623	0.018	-1.653	0.000	0.925	0.350	0.169	0.000	0.852	1.025	0.986	1.447	0.755	1.273	1.138
+0	2.638	1.289	-0.280	0.991	0.872	1.152	-0.702	1.551	2.173	0.643	-0.767	-1.689	0.000	0.747	-2.603	0.907	0.000	1.259	0.986	-0.759	0.000	0.889	0.937	1.931	2.569	0.709	1.666	1.322
+0	1.541	0.058	1.227	1.217	0.660	0.524	1.040	-0.640	0.000	0.709	-0.226	-0.727	2.215	0.543	1.360	1.720	0.000	0.981	0.326	-0.429	3.102	0.842	0.839	0.988	0.882	0.311	0.754	0.792
+0	2.559	-0.021	-1.615	2.095	-1.335	1.720	-0.641	0.033	2.173	0.737	-0.414	-0.379	0.000	1.158	-0.598	-1.608	2.548	0.847	1.549	0.847	0.000	0.980	0.951	1.004	0.748	1.751	1.606	1.295
+1	1.925	-0.859	1.353	1.769	-1.452	0.756	-0.342	-0.809	2.173	1.734	-0.850	0.151	0.000	0.944	-0.376	0.932	0.000	0.606	0.624	-1.039	0.000	0.964	0.931	1.474	1.062	0.530	0.907	0.819
+1	1.545	0.059	-1.732	1.034	0.807	2.467	-1.237	-0.565	0.000	1.933	2.370	-1.639	0.000	3.921	-0.645	0.727	2.548	1.843	-0.219	-0.527	3.102	2.292	2.692	1.319	1.447	1.914	3.176	2.387
+0	1.200	-1.018	-1.173	0.845	-0.439	0.601	-0.814	1.627	0.000	0.706	-1.103	0.845	0.000	1.111	-0.536	0.424	2.548	1.038	-0.456	-0.630	3.102	0.923	0.890	0.990	0.887	0.667	0.658	0.694
+0	0.609	-0.521	0.287	0.650	0.198	0.511	1.237	-0.670	2.173	0.648	-1.193	-1.686	2.215	0.364	1.444	0.064	0.000	0.451	1.152	0.677	0.000	0.433	0.925	0.983	0.770	1.497	0.925	0.731
+0	0.318	-1.381	-0.250	2.482	0.957	1.383	0.001	-0.222	2.173	1.045	-1.565	1.525	2.215	0.904	2.253	1.645	0.000	1.349	-0.541	-1.383	0.000	0.992	2.146	1.091	0.821	2.375	2.313	2.267
+1	0.947	-0.329	-0.033	0.020	-1.381	1.245	0.865	0.799	2.173	1.130	-0.013	-1.688	0.000	1.371	0.681	-0.931	0.000	0.982	0.958	0.019	0.000	1.001	0.587	0.525	0.860	0.892	0.820	0.697
+0	1.147	0.502	-1.131	1.237	-1.061	0.869	0.812	0.520	0.000	1.011	0.808	1.346	2.215	0.635	1.284	-0.138	0.000	0.538	0.612	0.124	3.102	0.848	0.987	0.993	0.677	0.595	0.704	0.778
+1	1.028	-0.732	1.243	1.198	-0.032	0.756	-1.491	1.404	0.000	1.343	-1.475	-0.263	2.215	0.483	-2.591	1.686	0.000	0.707	-0.687	-1.342	1.551	0.831	0.686	1.402	1.093	0.791	0.829	0.856
+1	0.303	1.225	0.629	1.256	-0.602	0.897	0.529	0.974	2.173	0.913	-0.667	-0.299	2.215	0.991	0.560	1.376	0.000	0.534	-1.176	-0.672	0.000	0.771	1.006	0.988	0.700	1.491	0.876	0.757
+0	0.534	-0.766	-0.533	0.974	-1.501	0.797	-1.574	0.323	2.173	1.137	0.271	-0.998	2.215	2.434	2.003	1.210	0.000	1.956	0.216	-0.272	0.000	3.588	2.573	0.989	1.251	1.990	2.742	2.023
+0	0.459	-1.448	-0.858	0.262	-0.304	0.760	1.090	-0.338	2.173	1.076	-1.079	1.151	2.215	0.357	-0.614	1.522	0.000	0.506	1.609	-1.293	0.000	0.842	0.866	0.988	0.935	2.209	1.120	0.920
+0	1.076	1.912	-0.667	0.618	-0.665	0.496	-1.524	1.127	0.000	0.944	-0.870	0.103	2.215	0.935	1.243	1.271	2.548	1.235	-0.512	-1.578	0.000	0.961	1.036	0.975	0.872	1.634	1.178	1.285
+1	0.442	1.823	-1.466	0.988	-1.565	1.444	-2.428	0.846	0.000	2.252	0.525	-0.141	1.107	2.366	0.328	-1.663	0.000	1.064	-0.091	-0.788	0.000	0.657	0.900	0.991	0.834	1.460	1.053	0.845
+1	0.575	-0.588	1.555	0.501	0.137	0.407	-1.782	1.262	0.000	0.348	-1.980	0.111	0.000	0.942	-0.695	-1.028	2.548	0.607	0.406	-0.667	3.102	0.695	0.884	0.987	0.705	0.428	0.634	0.590
+0	0.999	1.633	1.532	1.019	-0.793	0.613	-0.171	1.109	1.087	0.817	0.619	0.904	0.000	1.225	0.506	-0.244	0.000	1.189	1.033	0.553	0.000	0.992	0.948	1.211	1.278	0.973	1.015	0.924
+1	1.175	-0.643	0.099	1.273	-0.627	0.584	-0.133	-1.130	0.000	0.561	0.226	1.221	0.000	1.565	1.090	1.382	2.548	0.522	0.666	0.624	0.000	0.936	1.043	1.030	0.500	1.077	1.064	0.882
+0	0.733	-0.490	1.685	2.278	1.609	1.372	-1.278	-0.212	0.000	1.102	0.960	1.197	2.215	1.219	-0.308	-0.175	2.548	0.483	-0.242	-0.916	0.000	0.982	0.782	0.988	1.978	1.458	1.476	1.445
+1	1.792	-0.344	0.136	0.841	-0.813	1.685	0.625	1.499	0.000	0.548	0.587	-1.315	0.000	0.806	2.248	-0.160	0.000	1.011	1.329	-0.285	3.102	1.160	0.878	1.283	1.102	0.299	0.793	1.010
+1	0.641	1.633	0.001	1.118	1.010	1.013	0.750	1.516	0.000	1.438	0.526	0.358	2.215	1.649	0.175	-0.915	0.000	1.605	-0.493	-0.864	1.551	0.845	0.645	0.987	0.815	1.472	1.009	0.965
+0	0.442	0.276	0.929	1.638	-1.072	1.752	0.460	-0.802	2.173	1.436	-2.551	0.752	0.000	1.424	0.493	0.587	0.000	1.545	0.634	1.463	3.102	0.521	0.675	1.148	0.917	1.574	1.078	0.926
+1	1.152	0.873	-1.400	0.290	-0.264	0.831	0.373	-0.288	0.000	1.157	0.599	0.723	2.215	1.550	0.878	1.527	1.274	1.283	0.871	-0.714	0.000	0.798	1.181	0.988	0.758	0.975	0.987	0.872
+0	0.546	0.444	-0.292	1.429	-1.480	1.474	0.659	-1.104	2.173	2.622	0.481	0.538	0.000	0.685	-0.777	1.058	2.548	0.564	-1.013	-1.035	0.000	0.413	1.265	1.073	0.854	1.565	0.917	0.799
+1	1.274	-0.150	-0.628	1.824	-0.101	2.833	1.929	-1.628	0.000	1.361	0.040	0.111	2.215	2.690	0.230	0.574	1.274	0.776	0.382	-1.153	0.000	2.074	3.255	0.990	1.344	0.851	2.496	2.299
+1	0.625	-0.506	1.263	0.814	-1.314	1.228	-0.925	-0.091	0.000	1.217	0.430	1.588	2.215	0.976	0.010	-0.291	2.548	0.518	-1.251	0.127	0.000	0.921	0.750	0.986	0.647	1.177	1.064	0.929
+0	0.667	1.941	-0.188	0.446	0.506	1.049	0.577	1.737	1.087	1.508	0.766	-0.323	2.215	0.930	0.075	1.093	0.000	0.677	-0.442	-0.886	0.000	0.930	1.235	0.988	0.754	1.785	1.221	1.047
+1	1.864	0.056	-0.290	0.550	0.224	0.604	0.555	0.877	0.000	1.060	-0.375	1.727	2.215	0.824	-1.420	-0.485	0.000	0.817	0.925	1.318	0.000	0.510	0.916	0.990	0.821	0.441	0.842	0.785
+0	0.732	-0.712	-0.454	0.451	-0.392	1.167	0.448	0.949	2.173	0.920	0.120	1.609	0.000	0.926	1.528	-0.666	2.548	0.615	0.689	-0.687	0.000	0.930	0.983	0.987	1.117	1.539	0.967	0.852
+1	1.065	-0.611	-0.375	1.116	0.990	0.582	-1.434	-0.946	0.000	0.986	-0.550	-1.030	0.000	1.145	1.286	0.130	0.000	1.169	0.648	1.056	3.102	0.936	0.946	1.424	0.845	0.724	0.728	0.717
+1	0.910	-1.631	-0.125	1.964	-0.646	1.310	-0.927	1.357	2.173	0.445	-0.372	0.368	0.000	1.188	-1.481	0.595	0.000	1.407	-0.139	-1.529	3.102	0.984	0.993	0.996	1.619	0.930	1.159	0.979
+0	0.512	0.589	-1.486	0.552	-0.637	0.439	-0.923	-0.210	2.173	1.266	0.445	1.368	2.215	0.366	0.425	-0.052	0.000	0.641	-0.054	0.686	0.000	0.360	0.633	0.983	0.645	1.362	0.814	0.639
+1	1.377	-0.587	-0.869	1.735	-1.399	0.433	-0.277	0.236	2.173	0.921	0.321	1.152	1.107	0.330	-0.051	1.366	0.000	1.935	-2.212	0.028	0.000	0.635	0.758	0.988	0.980	0.740	0.923	0.794
+1	1.825	0.661	-0.885	1.030	0.833	1.565	2.020	-0.009	0.000	1.341	0.817	1.398	1.107	1.286	0.089	-1.706	0.000	1.295	1.032	-1.295	0.000	1.000	0.904	1.900	1.043	0.663	0.883	0.810
+1	1.477	0.870	0.367	0.643	0.024	0.425	0.141	0.632	0.000	1.340	0.221	-1.515	0.000	0.334	0.049	-1.312	2.548	1.172	1.080	-1.022	3.102	1.499	1.109	0.984	0.654	0.340	0.633	0.750
+1	1.074	-0.203	0.943	1.242	-1.727	0.952	-0.813	-0.239	2.173	0.629	-1.616	1.494	0.000	0.759	-0.793	-1.276	2.548	0.668	-0.085	-0.832	0.000	0.921	0.765	1.075	0.735	0.852	0.866	0.765
+1	0.652	0.084	-0.285	0.344	-0.839	1.105	0.260	1.644	2.173	0.700	0.765	-0.311	1.107	0.762	1.143	0.745	0.000	0.977	1.361	0.130	0.000	0.532	1.219	0.991	0.562	1.316	0.871	0.769
+1	1.748	-1.259	-1.568	1.159	-1.308	2.531	-0.895	-0.116	2.173	1.097	-0.529	1.515	1.107	1.602	0.505	1.042	0.000	0.954	-0.732	-1.359	0.000	1.553	1.095	0.985	2.288	2.479	1.717	1.644
+1	0.653	0.816	1.491	1.173	0.353	0.999	0.795	0.099	2.173	1.032	1.716	-0.995	0.000	1.052	0.893	-1.388	0.000	1.044	-0.757	-1.378	0.000	0.849	1.122	1.037	0.773	1.037	1.016	0.879
+1	0.603	-1.305	-0.295	1.986	-0.397	1.038	0.458	1.221	2.173	0.430	0.015	1.719	2.215	0.470	0.031	-0.543	0.000	0.524	-1.371	0.515	0.000	0.682	1.045	0.984	1.363	0.480	1.875	1.364
+0	0.510	-0.400	1.364	1.352	-0.990	0.630	-0.448	0.685	2.173	0.594	-0.795	-0.770	2.215	0.600	0.602	0.801	0.000	0.456	-0.936	1.413	0.000	0.659	0.725	0.988	0.901	0.886	0.668	0.599
+1	0.664	-0.216	0.435	1.156	1.437	1.839	-2.034	0.306	0.000	2.575	0.989	-1.165	2.215	1.506	1.083	-1.623	0.000	0.631	0.661	0.674	3.102	0.839	0.945	0.988	0.541	1.154	0.998	0.837
+1	1.436	1.090	0.733	0.278	-0.823	2.421	1.483	0.320	0.000	2.447	-1.403	-1.503	2.215	2.000	2.287	-1.506	0.000	2.205	1.306	-0.221	0.000	1.660	2.246	0.983	2.974	1.665	3.841	2.825
+1	0.709	0.850	0.672	0.949	-1.138	1.241	0.417	1.582	2.173	0.957	0.470	-0.037	2.215	0.877	0.102	0.661	0.000	1.705	1.461	-0.759	0.000	0.972	0.856	1.134	0.950	1.595	1.049	0.923
+0	1.135	0.285	-1.109	1.089	-0.896	1.103	0.127	0.964	0.000	0.731	-0.489	0.048	2.215	0.754	0.464	0.380	0.000	0.715	-1.183	-0.956	1.551	0.883	0.926	0.987	1.058	0.600	0.887	0.971
+1	1.124	0.354	0.040	1.132	1.620	0.956	1.375	0.416	0.000	1.543	0.437	-0.805	2.215	1.724	1.678	-1.636	0.000	2.128	-0.175	1.562	0.000	0.852	1.251	1.546	0.743	0.139	0.718	0.746
+1	0.341	-1.223	-1.373	0.994	0.692	1.086	0.319	-1.186	0.000	1.213	1.562	0.163	2.215	1.057	0.491	1.657	2.548	0.565	1.305	0.426	0.000	1.430	0.975	0.988	1.257	1.353	1.040	0.963
diff --git a/tests/test_lightgbm.py b/tests/test_lightgbm.py
index 694010a9..09650bfe 100644
--- a/tests/test_lightgbm.py
+++ b/tests/test_lightgbm.py
@@ -1,6 +1,7 @@
 import unittest
 
 import lightgbm as lgb
+import pandas as pd
 
 from common import gpu_test
 
@@ -8,8 +9,7 @@ class TestLightgbm(unittest.TestCase):
     # Based on the "simple_example" from their documentation:
     # https://github.com/Microsoft/LightGBM/blob/master/examples/python-guide/simple_example.py
     def test_cpu(self):
-        lgb_train = lgb.Dataset('/input/tests/data/lgb_train.bin')
-        lgb_eval = lgb.Dataset('/input/tests/data/lgb_test.bin', reference=lgb_train)
+        lgb_train, lgb_eval = self.load_datasets()
 
         params = {
             'task': 'train',
@@ -35,9 +35,8 @@ def test_cpu(self):
 
     @gpu_test
     def test_gpu(self):
-        lgb_train = lgb.Dataset('/input/tests/data/lgb_train.bin')
-        lgb_eval = lgb.Dataset('/input/tests/data/lgb_test.bin', reference=lgb_train)
-
+        lgb_train, lgb_eval = self.load_datasets()
+        
         params = {
             'boosting_type': 'gbdt',
             'objective': 'regression',
@@ -59,3 +58,17 @@ def test_gpu(self):
                         early_stopping_rounds=1)
 
         self.assertEqual(1, gbm.best_iteration)
+    
+    def load_datasets(self):
+        df_train = pd.read_csv('/input/tests/data/lgb_train.csv', header=None, sep='\t')
+        df_test = pd.read_csv('/input/tests/data/lgb_test.csv', header=None, sep='\t')
+        
+        y_train = df_train[0]
+        y_test = df_test[0]
+        X_train = df_train.drop(0, axis=1)
+        X_test = df_test.drop(0, axis=1)
+
+        lgb_train = lgb.Dataset(X_train, y_train)
+        lgb_eval = lgb.Dataset(X_test, y_test, reference=lgb_train)
+
+        return (lgb_train, lgb_eval)

From dd0914d2a3c0606f521a1a08bf3917159bd4ed84 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 5 Jan 2021 19:16:21 +0000
Subject: [PATCH 1067/1660] Pin scikit-learn to 0.23.2

The new 0.24.0 version has been released on Dec 23 but isn't compatible
with several of our packages including hep-ml.

BUG=176817038
---
 Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 6788bcae..7f42b5d6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -116,9 +116,9 @@ RUN pip install ibis-framework && \
     pip install gluoncv && \
     /tmp/clean-layer.sh
 
-# scikit-learn dependencies
 RUN pip install scipy && \
-    pip install scikit-learn && \
+    # b/176817038 avoid upgrade to 0.24 which is causing issues with hep-ml package.
+    pip install scikit-learn==0.23.2 && \
     # HDF5 support
     pip install h5py && \
     pip install biopython && \

From b9bd8f03020d330b5be889e8e0759390ad357a57 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Korn=C3=A9l=20Regius?=
 <38956225+kornelregius@users.noreply.github.com>
Date: Wed, 6 Jan 2021 19:28:46 +0000
Subject: [PATCH 1068/1660] GCP ML services integration. (#925)

* Cloud Translation, Natural language, Vision,
Video intelligence GCP integrations.

* Fixes for style guide
---
 Dockerfile                       |   4 +
 patches/kaggle_gcp.py            | 141 ++++++++++++++++++++++++++++---
 patches/kaggle_secrets.py        |  16 ++++
 patches/sitecustomize.py         |  25 +++++-
 tests/test_natural_language.py   |  67 +++++++++++++++
 tests/test_translation.py        | 131 ++++++++++++++++++++++++++++
 tests/test_user_secrets.py       |  36 ++++++++
 tests/test_video_intelligence.py |  66 +++++++++++++++
 tests/test_vision.py             |  66 +++++++++++++++
 9 files changed, 538 insertions(+), 14 deletions(-)
 create mode 100644 tests/test_natural_language.py
 create mode 100644 tests/test_translation.py
 create mode 100644 tests/test_video_intelligence.py
 create mode 100644 tests/test_vision.py

diff --git a/Dockerfile b/Dockerfile
index 7f42b5d6..effc65d1 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -268,6 +268,10 @@ RUN pip install --upgrade cython && \
     # which is loaded at startup.
     pip install google-cloud-bigquery==1.12.1 && \
     pip install google-cloud-storage && \
+    pip install google-cloud-translate==3.* && \
+    pip install google-cloud-language==2.* && \
+    pip install google-cloud-videointelligence==2.* && \
+    pip install google-cloud-vision==2.* && \
     pip install ortools && \
     pip install scattertext && \
     # Pandas data reader
diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index 39c0168e..d084a0b7 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -1,6 +1,6 @@
 import os
 import inspect
-from google.auth import credentials
+from google.auth import credentials, environment_vars
 from google.auth.exceptions import RefreshError
 from google.api_core.gapic_v1.client_info import ClientInfo
 from google.cloud import bigquery
@@ -22,7 +22,7 @@ def get_integrations():
             target = GcpTarget[integration.upper()]
             kernel_integrations.add_integration(target)
         except KeyError as e:
-            Log.error(f"Unknown integration target: {e}")
+            Log.error(f"Unknown integration target: {integration.upper()}")
     return kernel_integrations
 
 
@@ -45,6 +45,17 @@ def has_gcs(self):
     def has_automl(self):
         return GcpTarget.AUTOML in self.integrations
 
+    def has_translation(self):
+        return GcpTarget.TRANSLATION in self.integrations
+
+    def has_natural_language(self):
+        return GcpTarget.NATURAL_LANGUAGE in self.integrations
+
+    def has_video_intelligence(self):
+        return GcpTarget.VIDEO_INTELLIGENCE in self.integrations
+
+    def has_vision(self):
+        return GcpTarget.VISION in self.integrations
 
 class KaggleKernelCredentials(credentials.Credentials):
     """Custom Credentials used to authenticate using the Kernel's connected OAuth account.
@@ -65,6 +76,14 @@ def refresh(self, request):
                 self.token, self.expiry = client._get_gcs_access_token()
             elif self.target == GcpTarget.AUTOML:
                 self.token, self.expiry = client._get_automl_access_token()
+            elif self.target == GcpTarget.TRANSLATION:
+                self.token, self.expiry = client._get_translation_access_token()
+            elif self.target == GcpTarget.NATURAL_LANGUAGE:
+                self.token, self.expiry = client._get_natural_language_access_token()
+            elif self.target == GcpTarget.VIDEO_INTELLIGENCE:
+                self.token, self.expiry = client._get_video_intelligence_access_token()
+            elif self.target == GcpTarget.VISION:
+                self.token, self.expiry = client._get_vision_access_token()
         except ConnectionError as e:
             Log.error(f"Connection error trying to refresh access token: {e}")
             print("There was a connection error trying to fetch the access token. "
@@ -78,6 +97,12 @@ def refresh(self, request):
                    f"Please ensure you have selected a {self.target.service} account in the Notebook Add-ons menu.")
             raise RefreshError('Unable to refresh access token.') from e
 
+class KaggleKernelWithProjetCredentials(KaggleKernelCredentials):
+    """ Wrapper Kaggle Credentials with quota_project_id.
+    """
+    def __init__(self, parentCredential=None, quota_project_id=None):
+        super().__init__(target=parentCredential.target)
+        self._quota_project_id=quota_project_id
 
 class _DataProxyConnection(Connection):
     """Custom Connection class used to proxy the BigQuery client to Kaggle's data proxy."""
@@ -122,13 +147,16 @@ def __init__(self, *args, **kwargs):
 def has_been_monkeypatched(method):
     return "kaggle_gcp" in inspect.getsourcefile(method)
 
+def is_user_secrets_token_set():
+    return "KAGGLE_USER_SECRETS_TOKEN" in os.environ
+
+def is_proxy_token_set():
+    return "KAGGLE_DATA_PROXY_TOKEN" in os.environ
+
 def init_bigquery():
-    from google.auth import environment_vars
     from google.cloud import bigquery
 
-    is_proxy_token_set = "KAGGLE_DATA_PROXY_TOKEN" in os.environ
-    is_user_secrets_token_set = "KAGGLE_USER_SECRETS_TOKEN" in os.environ
-    if not (is_proxy_token_set or is_user_secrets_token_set):
+    if not (is_proxy_token_set() or is_user_secrets_token_set()):
         return bigquery
 
     # If this Notebook has bigquery integration on startup, preload the Kaggle Credentials
@@ -185,14 +213,24 @@ def patched_init(self, *args, **kwargs):
         specified_credentials = kwargs.get('credentials')
         if specified_credentials is None:
             Log.info("No credentials specified, using KaggleKernelCredentials.")
-            kwargs['credentials'] = kaggle_kernel_credentials
+            # Some GCP services demand the billing and target project must be the same.
+            # To avoid using default service account based credential as caller credential
+            # user need to provide ClientOptions with quota_project_id:
+            # srv.Client(client_options=client_options.ClientOptions(quota_project_id="YOUR PROJECT"))
+            client_options=kwargs.get('client_options')
+            if client_options != None and client_options.quota_project_id != None:
+                kwargs['credentials'] = KaggleKernelWithProjetCredentials(
+                    parentCredential = kaggle_kernel_credentials,
+                    quota_project_id = client_options.quota_project_id)
+            else:
+                kwargs['credentials'] = kaggle_kernel_credentials
 
         kwargs['client_info'] = set_kaggle_user_agent(kwargs.get('client_info'))
-
         return client_init(self, *args, **kwargs)
 
     if (not has_been_monkeypatched(client_klass.__init__)):
         client_klass.__init__ = patched_init
+        Log.info(f"Client patched: {client_klass}")
 
 def set_kaggle_user_agent(client_info: ClientInfo):
     # Add kaggle client user agent in order to attribute usage.
@@ -203,9 +241,8 @@ def set_kaggle_user_agent(client_info: ClientInfo):
     return client_info
 
 def init_gcs():
-    is_user_secrets_token_set = "KAGGLE_USER_SECRETS_TOKEN" in os.environ
     from google.cloud import storage
-    if not is_user_secrets_token_set:
+    if not is_user_secrets_token_set():
         return storage
 
     from kaggle_gcp import get_integrations
@@ -220,9 +257,8 @@ def init_gcs():
     return storage
 
 def init_automl():
-    is_user_secrets_token_set = "KAGGLE_USER_SECRETS_TOKEN" in os.environ
     from google.cloud import automl, automl_v1beta1
-    if not is_user_secrets_token_set:
+    if not is_user_secrets_token_set():
         return
 
     from kaggle_gcp import get_integrations
@@ -251,10 +287,91 @@ def init_automl():
     # the TablesClient is GA.
     monkeypatch_client(automl_v1beta1.TablesClient, kaggle_kernel_credentials)
 
+def init_translation_v2():
+    from google.cloud import translate_v2
+    if not is_user_secrets_token_set():
+        return translate_v2
+
+    from kaggle_gcp import get_integrations
+    if not get_integrations().has_translation():
+        return translate_v2
+    from kaggle_secrets import GcpTarget
+    kernel_credentials = KaggleKernelCredentials(target=GcpTarget.TRANSLATION)
+    monkeypatch_client(translate_v2.Client, kernel_credentials)
+    return translate_v2
+
+def init_translation_v3():
+    # Translate v3 exposes different client than translate v2.
+    from google.cloud import translate_v3
+    if not is_user_secrets_token_set():
+        return translate_v3
+
+    from kaggle_gcp import get_integrations
+    if not get_integrations().has_translation():
+        return translate_v3
+    from kaggle_secrets import GcpTarget
+    kernel_credentials = KaggleKernelCredentials(target=GcpTarget.TRANSLATION)
+    monkeypatch_client(translate_v3.TranslationServiceClient, kernel_credentials)
+    return translate_v3
+
+def init_natural_language():
+    from google.cloud import language
+    if not is_user_secrets_token_set():
+        return language
+
+    from kaggle_gcp import get_integrations
+    if not get_integrations().has_natural_language():
+        return language
+
+    from kaggle_secrets import GcpTarget
+    kernel_credentials = KaggleKernelCredentials(target=GcpTarget.NATURAL_LANGUAGE)
+    monkeypatch_client(language.LanguageServiceClient, kernel_credentials)    
+    monkeypatch_client(language.LanguageServiceAsyncClient, kernel_credentials)
+    return language
+
+def init_video_intelligence():
+    from google.cloud import videointelligence
+    if not is_user_secrets_token_set():
+        return videointelligence
+
+    from kaggle_gcp import get_integrations
+    if not get_integrations().has_video_intelligence():
+        return videointelligence
+
+    from kaggle_secrets import GcpTarget
+    kernel_credentials = KaggleKernelCredentials(target=GcpTarget.VIDEO_INTELLIGENCE)
+    monkeypatch_client(
+        videointelligence.VideoIntelligenceServiceClient,
+        kernel_credentials)
+    monkeypatch_client(
+        videointelligence.VideoIntelligenceServiceAsyncClient,
+        kernel_credentials)
+    return videointelligence
+
+def init_vision():
+    from google.cloud import vision
+    if not is_user_secrets_token_set():
+        return vision
+
+    from kaggle_gcp import get_integrations
+    if not get_integrations().has_vision():
+        return vision
+
+    from kaggle_secrets import GcpTarget
+    kernel_credentials = KaggleKernelCredentials(target=GcpTarget.VISION)
+    monkeypatch_client(vision.ImageAnnotatorClient, kernel_credentials)
+    monkeypatch_client(vision.ImageAnnotatorAsyncClient, kernel_credentials)
+    return vision
+
 def init():
     init_bigquery()
     init_gcs()
     init_automl()
+    init_translation_v2()
+    init_translation_v3()
+    init_natural_language()
+    init_video_intelligence()
+    init_vision()
 
 # We need to initialize the monkeypatching of the client libraries
 # here since there is a circular dependency between our import hook version
diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index 8f0d3eb3..0aa7c01e 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -24,6 +24,10 @@ class GcpTarget(Enum):
     BIGQUERY = (1, "BigQuery")
     GCS = (2, "Google Cloud Storage")
     AUTOML = (3, "Cloud AutoML")
+    TRANSLATION = (4, "Cloud Translation")
+    NATURAL_LANGUAGE = (5, "Cloud Natural Language")
+    VIDEO_INTELLIGENCE = (6, "Cloud Video Intelligence")
+    VISION = (7, "Cloud Vision")
 
     def __init__(self, target, service):
         self._target = target
@@ -154,6 +158,18 @@ def _get_gcs_access_token(self) -> Tuple[str, Optional[datetime]]:
     def _get_automl_access_token(self) -> Tuple[str, Optional[datetime]]:
         return self._get_access_token(GcpTarget.AUTOML)
 
+    def _get_translation_access_token(self) -> Tuple[str, Optional[datetime]]:
+        return self._get_access_token(GcpTarget.TRANSLATION)
+
+    def _get_natural_language_access_token(self) -> Tuple[str, Optional[datetime]]:
+        return self._get_access_token(GcpTarget.NATURAL_LANGUAGE)
+
+    def _get_video_intelligence_access_token(self) -> Tuple[str, Optional[datetime]]:
+        return self._get_access_token(GcpTarget.VIDEO_INTELLIGENCE)
+
+    def _get_vision_access_token(self) -> Tuple[str, Optional[datetime]]:
+        return self._get_access_token(GcpTarget.VISION)
+
     def _get_access_token(self, target: GcpTarget) -> Tuple[str, Optional[datetime]]:
         request_body = {
             'Target': target.target
diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index 04774a11..d01f3845 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -7,7 +7,20 @@
 import importlib.machinery
 
 class GcpModuleFinder(importlib.abc.MetaPathFinder):
-    _MODULES = ['google.cloud.bigquery', 'google.cloud.storage', 'google.cloud.automl_v1beta1']
+    _MODULES = [
+        'google.cloud.bigquery',
+        'google.cloud.storage',
+        'google.cloud.automl_v1beta1',
+        'google.cloud.translate',
+        'google.cloud.translate_v2',
+        'google.cloud.translate_v3',
+        'google.cloud.language',
+        'google.cloud.language_v1',
+        'google.cloud.videointelligence',
+        'google.cloud.videointelligence_v1',
+        'google.cloud.vision',
+        'google.cloud.vision_v1',
+    ]
     _KAGGLE_GCP_PATH = 'kaggle_gcp.py'
     def __init__(self):
         pass
@@ -41,6 +54,15 @@ def create_module(self, spec):
             'google.cloud.bigquery': kaggle_gcp.init_bigquery,
             'google.cloud.storage': kaggle_gcp.init_gcs,
             'google.cloud.automl_v1beta1': kaggle_gcp.init_automl,
+            'google.cloud.translate': kaggle_gcp.init_translation_v3,
+            'google.cloud.translate_v2': kaggle_gcp.init_translation_v2,
+            'google.cloud.translate_v3': kaggle_gcp.init_translation_v3,
+            'google.cloud.language': kaggle_gcp.init_natural_language,
+            'google.cloud.language_v1': kaggle_gcp.init_natural_language,
+            'google.cloud.videointelligence': kaggle_gcp.init_video_intelligence,
+            'google.cloud.videointelligence_v1': kaggle_gcp.init_video_intelligence,
+            'google.cloud.vision': kaggle_gcp.init_vision,
+            'google.cloud.vision_v1': kaggle_gcp.init_vision
         }
         monkeypatch_gcp_module = _LOADERS[spec.name]()
         return monkeypatch_gcp_module
@@ -48,6 +70,5 @@ def create_module(self, spec):
     def exec_module(self, module):
         pass
 
-
 if not hasattr(sys, 'frozen'):
     sys.meta_path.insert(0, GcpModuleFinder())
diff --git a/tests/test_natural_language.py b/tests/test_natural_language.py
new file mode 100644
index 00000000..0ae6f6ed
--- /dev/null
+++ b/tests/test_natural_language.py
@@ -0,0 +1,67 @@
+import unittest
+import inspect
+
+from unittest.mock import Mock, patch
+
+from kaggle_gcp import KaggleKernelCredentials, init_natural_language
+from test.support import EnvironmentVarGuard
+from google.cloud import language
+
+def _make_credentials():
+    import google.auth.credentials
+    return Mock(spec=google.auth.credentials.Credentials)
+
+class TestCloudNaturalLanguage(unittest.TestCase):
+    class FakeClient:
+        def __init__(self, credentials=None, client_info=None, **kwargs):
+            self.credentials = credentials
+
+            class FakeConnection():
+                def __init__(self, user_agent):
+                    self.user_agent = user_agent
+            if (client_info is not None):
+                self._connection = FakeConnection(client_info.user_agent)
+
+    @patch("google.cloud.language.LanguageServiceClient", new=FakeClient)
+    def test_default_credentials(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'NATURAL_LANGUAGE')
+        with env:
+            init_natural_language()
+            client = language.LanguageServiceClient()
+            self.assertIsNotNone(client.credentials)
+            self.assertIsInstance(client.credentials, KaggleKernelCredentials)
+
+    @patch("google.cloud.language.LanguageServiceClient", new=FakeClient)
+    def test_user_provided_credentials(self):
+        credentials = _make_credentials()
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'NATURAL_LANGUAGE')
+        with env:
+            init_natural_language()
+            client = language.LanguageServiceClient(credentials=credentials)
+            self.assertIsNotNone(client.credentials)
+            self.assertNotIsInstance(client.credentials, KaggleKernelCredentials)
+
+
+    def test_monkeypatching_succeed(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'TRANSLATION')
+        with env:
+            init_natural_language()
+            client = language.LanguageServiceClient.__init__
+            self.assertTrue("kaggle_gcp" in inspect.getsourcefile(client))
+   
+    def test_monkeypatching_idempotent(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'NATURAL_LANGUAGE')
+        with env:
+            init_natural_language()
+            client1 = language.LanguageServiceClient.__init__
+            init_natural_language()
+            client2 = language.LanguageServiceClient.__init__
+            self.assertEqual(client1, client2)
diff --git a/tests/test_translation.py b/tests/test_translation.py
new file mode 100644
index 00000000..83618a14
--- /dev/null
+++ b/tests/test_translation.py
@@ -0,0 +1,131 @@
+import unittest
+import inspect
+
+from unittest.mock import Mock, patch
+
+from kaggle_gcp import KaggleKernelCredentials, KaggleKernelWithProjetCredentials, init_translation_v2, init_translation_v3
+from test.support import EnvironmentVarGuard
+from google.api_core import client_options
+from google.cloud import translate, translate_v2
+
+def _make_credentials():
+    import google.auth.credentials
+    return Mock(spec=google.auth.credentials.Credentials)
+
+class TestCloudTranslation(unittest.TestCase):
+    class FakeClient:
+        def __init__(self, credentials=None, client_info=None, client_options=None, **kwargs):
+            self.credentials = credentials
+            self.client_options = client_options
+
+            class FakeConnection():
+                def __init__(self, user_agent):
+                    self.user_agent = user_agent
+            if (client_info is not None):
+                self._connection = FakeConnection(client_info.user_agent)
+
+    @patch("google.cloud.translate_v2.Client", new=FakeClient)
+    def test_default_credentials_v2(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'TRANSLATION')
+        with env:
+            init_translation_v2()
+            client = translate_v2.Client()
+            self.assertIsNotNone(client.credentials)
+            self.assertIsInstance(client.credentials, KaggleKernelCredentials)
+
+
+    @patch("google.cloud.translate_v2.Client", new=FakeClient)
+    def test_user_provided_credentials_v2(self):
+        credentials = _make_credentials()
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'TRANSLATION')
+        with env:
+            init_translation_v2()
+            client = translate_v2.Client(credentials=credentials)
+            self.assertIsNotNone(client.credentials)
+            self.assertNotIsInstance(client.credentials, KaggleKernelCredentials)
+
+    @patch("google.cloud.translate.TranslationServiceClient", new=FakeClient)
+    def test_default_credentials_v3(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'TRANSLATION')
+        with env:
+            init_translation_v3()
+            client = translate.TranslationServiceClient()
+            self.assertIsNotNone(client.credentials)
+            self.assertIsInstance(client.credentials, KaggleKernelCredentials)
+
+
+    @patch("google.cloud.translate.TranslationServiceClient", new=FakeClient)
+    def test_user_provided_credentials_v3(self):
+        credentials = _make_credentials()
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'TRANSLATION')
+        with env:
+            init_translation_v3()
+            client = translate.TranslationServiceClient(credentials=credentials)
+            self.assertIsNotNone(client.credentials)
+            self.assertNotIsInstance(client.credentials, KaggleKernelCredentials)
+
+
+    def test_monkeypatching_succeed(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'TRANSLATION')
+        with env:
+            init_translation_v2()
+            init_translation_v3()
+            # Translation V2
+            client2 = translate_v2.Client.__init__
+            self.assertTrue("kaggle_gcp" in inspect.getsourcefile(client2))
+            # Translation V3
+            client3 = translate.TranslationServiceClient.__init__
+            self.assertTrue("kaggle_gcp" in inspect.getsourcefile(client3))
+
+    def test_monkeypatching_idempotent(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'TRANSLATION')
+        with env:
+            init_translation_v2()
+            init_translation_v3()
+            # Translation V2
+            client2_1 = translate_v2.client.Client.__init__
+            # Translation V3
+            client3_1 = translate.TranslationServiceClient.__init__
+
+            init_translation_v2()
+            init_translation_v3()
+
+            client2_2 = translate_v2.Client.__init__
+            client3_2 = translate.TranslationServiceClient.__init__
+            self.assertEqual(client2_1, client2_2)
+            self.assertEqual(client3_1, client3_2)
+
+    @patch("google.cloud.translate.TranslationServiceClient", new=FakeClient)
+    def test_client_credential_uniqueness_v3(self):
+        """
+        Client instance must use unique KaggleKernelWithProjetCredentials with quota_project_id
+        when client_options.quota_project_id provided. (even if quota_project_id is same)
+        """
+        credentials = _make_credentials()
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'TRANSLATION')
+        with env:
+            init_translation_v3()
+            client1 = translate.TranslationServiceClient()
+            client2 = translate.TranslationServiceClient(client_options=client_options.ClientOptions(quota_project_id="_doesn't_matter"))
+            client3 = translate.TranslationServiceClient(client_options=client_options.ClientOptions(quota_project_id="_doesn't_matter2"))
+            self.assertIsNotNone(client1.credentials)
+            self.assertIsNotNone(client2.credentials)
+            self.assertIsNotNone(client3.credentials)
+            self.assertIsInstance(client2.credentials, KaggleKernelWithProjetCredentials)
+            self.assertIsInstance(client3.credentials, KaggleKernelWithProjetCredentials)
+            self.assertNotEqual(client1.credentials, client2.credentials)
+            self.assertNotEqual(client2.credentials, client3.credentials)
diff --git a/tests/test_user_secrets.py b/tests/test_user_secrets.py
index fdaa58b2..7f71ccf4 100644
--- a/tests/test_user_secrets.py
+++ b/tests/test_user_secrets.py
@@ -178,12 +178,48 @@ def call_get_gcs_access_token():
             client = UserSecretsClient()
             secret_response = client._get_gcs_access_token()
             self.assertEqual(secret_response, (secret, now + timedelta(seconds=3600)))
+        def call_get_automl_access_token():
+            client = UserSecretsClient()
+            secret_response = client._get_automl_access_token()
+            self.assertEqual(secret_response, (secret, now + timedelta(seconds=3600)))
+        def call_get_translation_access_token():
+            client = UserSecretsClient()
+            secret_response = client._get_translation_access_token()
+            self.assertEqual(secret_response, (secret, now + timedelta(seconds=3600)))
+        def call_get_natural_lang_access_token():
+            client = UserSecretsClient()
+            secret_response = client._get_natural_language_access_token()
+            self.assertEqual(secret_response, (secret, now + timedelta(seconds=3600)))
+        def call_get_video_intell_access_token():
+            client = UserSecretsClient()
+            secret_response = client._get_video_intelligence_access_token()
+            self.assertEqual(secret_response, (secret, now + timedelta(seconds=3600)))
+        def call_get_vision_access_token():
+            client = UserSecretsClient()
+            secret_response = client._get_vision_access_token()
+            self.assertEqual(secret_response, (secret, now + timedelta(seconds=3600)))
+
         self._test_client(call_get_bigquery_access_token,
                           '/requests/GetUserSecretRequest', {'Target': GcpTarget.BIGQUERY.target},
                           secret=secret)
         self._test_client(call_get_gcs_access_token,
                           '/requests/GetUserSecretRequest', {'Target': GcpTarget.GCS.target},
                           secret=secret)
+        self._test_client(call_get_automl_access_token,
+                          '/requests/GetUserSecretRequest', {'Target': GcpTarget.AUTOML.target},
+                          secret=secret)
+        self._test_client(call_get_translation_access_token,
+                          '/requests/GetUserSecretRequest', {'Target': GcpTarget.TRANSLATION.target},
+                          secret=secret)
+        self._test_client(call_get_natural_lang_access_token,
+                          '/requests/GetUserSecretRequest', {'Target': GcpTarget.NATURAL_LANGUAGE.target},
+                          secret=secret)
+        self._test_client(call_get_video_intell_access_token,
+                          '/requests/GetUserSecretRequest', {'Target': GcpTarget.VIDEO_INTELLIGENCE.target},
+                          secret=secret)
+        self._test_client(call_get_vision_access_token,
+                          '/requests/GetUserSecretRequest', {'Target': GcpTarget.VISION.target},
+                          secret=secret)
 
     def test_get_access_token_handles_unsuccessful(self):
         def call_get_access_token():
diff --git a/tests/test_video_intelligence.py b/tests/test_video_intelligence.py
new file mode 100644
index 00000000..856aefdf
--- /dev/null
+++ b/tests/test_video_intelligence.py
@@ -0,0 +1,66 @@
+import unittest
+import inspect
+
+from unittest.mock import Mock, patch
+
+from kaggle_gcp import KaggleKernelCredentials, init_video_intelligence
+from test.support import EnvironmentVarGuard
+from google.cloud import videointelligence
+
+def _make_credentials():
+    import google.auth.credentials
+    return Mock(spec=google.auth.credentials.Credentials)
+
+class TestCloudVideoIntelligence(unittest.TestCase):
+    class FakeClient:
+        def __init__(self, credentials=None, client_info=None, **kwargs):
+            self.credentials = credentials
+
+            class FakeConnection():
+                def __init__(self, user_agent):
+                    self.user_agent = user_agent
+            if (client_info is not None):
+                self._connection = FakeConnection(client_info.user_agent)
+ 
+    @patch("google.cloud.videointelligence.VideoIntelligenceServiceClient", new=FakeClient)
+    def test_default_credentials(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'VIDEO_INTELLIGENCE')
+        with env:
+            init_video_intelligence()
+            client = videointelligence.VideoIntelligenceServiceClient()
+            self.assertIsNotNone(client.credentials)
+            self.assertIsInstance(client.credentials, KaggleKernelCredentials)
+
+    @patch("google.cloud.videointelligence.VideoIntelligenceServiceClient", new=FakeClient)
+    def test_user_provided_credentials(self):
+        credentials = _make_credentials()
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'VIDEO_INTELLIGENCE')
+        with env:
+            init_video_intelligence()
+            client = videointelligence.VideoIntelligenceServiceClient(credentials=credentials)
+            self.assertNotIsInstance(client.credentials, KaggleKernelCredentials)
+            self.assertIsNotNone(client.credentials)
+
+    def test_monkeypatching_succeed(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'TRANSLATION')
+        with env:
+            init_video_intelligence()
+            client = videointelligence.VideoIntelligenceServiceClient.__init__
+            self.assertTrue("kaggle_gcp" in inspect.getsourcefile(client))
+
+    def test_monkeypatching_idempotent(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'VIDEO_INTELLIGENCE')
+        with env:
+            init_video_intelligence()
+            client1 = videointelligence.VideoIntelligenceServiceClient.__init__
+            init_video_intelligence()
+            client2 = videointelligence.VideoIntelligenceServiceClient.__init__
+            self.assertEqual(client1, client2)
diff --git a/tests/test_vision.py b/tests/test_vision.py
new file mode 100644
index 00000000..0cd0c295
--- /dev/null
+++ b/tests/test_vision.py
@@ -0,0 +1,66 @@
+import unittest
+import inspect
+
+from unittest.mock import Mock, patch
+
+from kaggle_gcp import KaggleKernelCredentials, init_vision
+from test.support import EnvironmentVarGuard
+from google.cloud import vision
+
+def _make_credentials():
+    import google.auth.credentials
+    return Mock(spec=google.auth.credentials.Credentials)
+
+class TestCloudVision(unittest.TestCase):
+    class FakeClient:
+        def __init__(self, credentials=None, client_info=None, **kwargs):
+            self.credentials = credentials
+
+            class FakeConnection():
+                def __init__(self, user_agent):
+                    self.user_agent = user_agent
+            if (client_info is not None):
+                self._connection = FakeConnection(client_info.user_agent)
+
+    @patch("google.cloud.vision.ImageAnnotatorClient", new=FakeClient)
+    def test_default_credentials(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'VISION')
+        with env:
+            init_vision()
+            client = vision.ImageAnnotatorClient()
+            self.assertIsNotNone(client.credentials)
+            self.assertIsInstance(client.credentials, KaggleKernelCredentials)
+
+    @patch("google.cloud.vision.ImageAnnotatorClient", new=FakeClient)
+    def test_user_provided_credentials(self):
+        credentials = _make_credentials()
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'VISION')
+        with env:
+            init_vision()
+            client = vision.ImageAnnotatorClient(credentials=credentials)
+            self.assertNotIsInstance(client.credentials, KaggleKernelCredentials)
+            self.assertIsNotNone(client.credentials)
+
+    def test_monkeypatching_succeed(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'TRANSLATION')
+        with env:
+            init_vision()
+            client = vision.ImageAnnotatorClient.__init__
+            self.assertTrue("kaggle_gcp" in inspect.getsourcefile(client))
+
+    def test_monkeypatching_idempotent(self):
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'VISION')
+        with env:
+            init_vision()
+            client1 = vision.ImageAnnotatorClient.__init__
+            init_vision()
+            client2 = vision.ImageAnnotatorClient.__init__
+            self.assertEqual(client1, client2)

From 67cf1256826b1ddb728156307a41627e115a3563 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 11 Jan 2021 12:27:20 -0800
Subject: [PATCH 1069/1660] Use TensorFlow 2.4.0 wheels. (#931)

BUG=172352589
---
 Dockerfile     | 4 ++--
 gpu.Dockerfile | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index effc65d1..f299c24a 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,8 +1,8 @@
 # b/157908450 set to latest once numba 0.49.x fixes performance regression for datashader.
 ARG BASE_TAG=m46
-ARG TENSORFLOW_VERSION=2.3.1
+ARG TENSORFLOW_VERSION=2.4.0
 
-FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37-2 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37 as tensorflow_whl
 FROM gcr.io/deeplearning-platform-release/base-cpu:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index a9ab9ed8..eb37cfd6 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=staging
 
 FROM nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04 AS nvidia
-FROM gcr.io/kaggle-images/python-tensorflow-whl:2.3.1-py37-2 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:2.4.0-py37 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh

From 94fbe634e7318394608198db31e5de20a1465c16 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 11 Jan 2021 12:27:32 -0800
Subject: [PATCH 1070/1660] Build TensorFlow 2.4.0 whl (#930)

Bump TensorFlow addons to 0.12 (supports TF 2.4).

BUG=172352589
---
 tensorflow-whl/CHANGELOG.md | 3 ++-
 tensorflow-whl/Dockerfile   | 4 ++--
 2 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index bcbe1603..37b8a3fe 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -18,4 +18,5 @@
 * `2.2.0-py37-2`: TensorFlow 2.2.0 with Python 3.7 & TFA
 * `2.3.0-py37`: TensorFlow 2.3.0 with Python 3.7
 * `2.3.1-py37`: TensorFlow 2.3.1 with Python 3.7
-* `2.3.1-py37-2`: TensorFlow 2.3.1 & TFA 0.11 with Python 3.7
\ No newline at end of file
+* `2.3.1-py37-2`: TensorFlow 2.3.1 & TFA 0.11 with Python 3.7
+* `2.4.0-py37`: TensorFlow 2.4.0 & Python 3.7 & TFA 0.12
\ No newline at end of file
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index ae56e534..d9732af5 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -66,7 +66,7 @@ RUN apt-get install -y gnupg zip openjdk-8-jdk && \
 RUN cd /usr/local/src && \
     git clone https://github.com/tensorflow/tensorflow && \
     cd tensorflow && \
-    git checkout tags/v2.3.1 && \
+    git checkout tags/v2.4.0 && \
     pip install keras_applications --no-deps && \
     pip install keras_preprocessing --no-deps
 
@@ -87,7 +87,7 @@ RUN pip install /tmp/tensorflow_cpu/tensorflow*.whl
 RUN cd /usr/local/src/ && \
     git clone https://github.com/tensorflow/addons && \
     cd addons && \
-    git checkout tags/v0.11.2 && \
+    git checkout tags/v0.12.0 && \
     python ./configure.py && \
     bazel build --enable_runfiles build_pip_pkg && \
     bazel-bin/build_pip_pkg /tmp/tfa_cpu && \

From 215becf566da194e0150fcf221a0ffd514e52590 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 12 Jan 2021 09:34:51 -0800
Subject: [PATCH 1071/1660] Pin umap-learn (#933)

`umap-learn` 0.5.0 (released on 1/11/2021, today) is causing a llvmlite upgrade.

This library should never be updated because it is a distutils project and cannot be cleanly reinstalled. Packages should be compatible with the version of llvmlite from the base image.
---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index f299c24a..70c02452 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -210,6 +210,8 @@ RUN pip install mpld3 && \
     pip install fbprophet && \
     pip install holoviews && \
     pip install geoviews && \
+    # b/177279594 umap-learn 0.5.0 is causing a llvmlite upgrade.
+    pip install umap-learn==0.4.6 && \
     pip install hypertools && \
     pip install py_stringsimjoin && \
     pip install mlens && \

From c462fc112acbbf5e1260b675a947046694ea1919 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 12 Jan 2021 23:35:57 -0800
Subject: [PATCH 1072/1660] Upgrade base image (#934)

* Upgrade DLVM base-cpu image.

http://b/167268016

* Build new TF whl

* Use new TF whl

* Pin tensorforce and add test

* fix tf tests
---
 Dockerfile                      | 19 ++++++-------------
 gpu.Dockerfile                  |  2 +-
 tensorflow-whl/CHANGELOG.md     |  3 ++-
 tensorflow-whl/Dockerfile       |  2 +-
 tests/test_tensorflow.py        |  6 +++---
 tests/test_tensorflow_addons.py |  2 +-
 tests/test_tensorforce.py       | 30 ++++++++++++++++++++++++++++++
 7 files changed, 44 insertions(+), 20 deletions(-)
 create mode 100644 tests/test_tensorforce.py

diff --git a/Dockerfile b/Dockerfile
index 70c02452..b200d97b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,8 +1,7 @@
-# b/157908450 set to latest once numba 0.49.x fixes performance regression for datashader.
-ARG BASE_TAG=m46
+ARG BASE_TAG=m61
 ARG TENSORFLOW_VERSION=2.4.0
 
-FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37-2 as tensorflow_whl
 FROM gcr.io/deeplearning-platform-release/base-cpu:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
@@ -210,8 +209,6 @@ RUN pip install mpld3 && \
     pip install fbprophet && \
     pip install holoviews && \
     pip install geoviews && \
-    # b/177279594 umap-learn 0.5.0 is causing a llvmlite upgrade.
-    pip install umap-learn==0.4.6 && \
     pip install hypertools && \
     pip install py_stringsimjoin && \
     pip install mlens && \
@@ -320,8 +317,7 @@ RUN pip install bleach && \
     pip install pandocfilters && \
     pip install pexpect && \
     pip install pickleshare && \
-    # b/160263325: the version included in the m46 base image has a known issue.
-    pip install --upgrade Pillow && \
+    pip install Pillow && \
     # Install openslide and its python binding
     apt-get install -y openslide-tools && \
     pip install openslide-python && \
@@ -373,7 +369,7 @@ RUN pip install flashtext && \
     pip install shap && \
     pip install ray && \
     pip install gym && \
-    # b/167220714 unpin once matplotlib >= 3.3 is installed in the base image.
+    # b/167268016 tensorforce 0.6.6 has an explicit dependency on tensorflow 2.3.1 which is causing a downgrade.
     pip install tensorforce==0.5.5 && \
     pip install pyarabic && \
     pip install pandasql && \
@@ -392,8 +388,7 @@ RUN pip install flashtext && \
     pip install plotly_express && \
     pip install albumentations && \
     pip install catalyst && \
-    # b/162850432 prevent matplotlib upgrade.
-    pip install osmnx==0.15.1 && \
+    pip install osmnx && \
     apt-get -y install libspatialindex-dev && \
     pip install pytorch-ignite && \
     pip install qgrid && \
@@ -478,9 +473,7 @@ ADD patches/imagemagick-policy.xml /etc/ImageMagick-6/policy.xml
 # Disable unnecessary jupyter extensions
 RUN jupyter-nbextension disable nb_conda --py --sys-prefix && \
     jupyter-serverextension disable nb_conda --py --sys-prefix && \
-    python -m nb_conda_kernels.install --disable && \
-    jupyter-nbextension disable nbpresent --py --sys-prefix && \
-    jupyter-serverextension disable nbpresent --py --sys-prefix
+    python -m nb_conda_kernels.install --disable
 
 # Set backend for matplotlib
 ENV MPLBACKEND "agg"
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index eb37cfd6..c9741cb7 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=staging
 
 FROM nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04 AS nvidia
-FROM gcr.io/kaggle-images/python-tensorflow-whl:2.4.0-py37 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:2.4.0-py37-2 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index 37b8a3fe..804daeee 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -19,4 +19,5 @@
 * `2.3.0-py37`: TensorFlow 2.3.0 with Python 3.7
 * `2.3.1-py37`: TensorFlow 2.3.1 with Python 3.7
 * `2.3.1-py37-2`: TensorFlow 2.3.1 & TFA 0.11 with Python 3.7
-* `2.4.0-py37`: TensorFlow 2.4.0 & Python 3.7 & TFA 0.12
\ No newline at end of file
+* `2.4.0-py37`: TensorFlow 2.4.0 & Python 3.7 & TFA 0.12
+* `2.4.0-py37-2`: TensorFlow 2.4.0 & m61 base image
\ No newline at end of file
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index d9732af5..7553ea78 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -1,5 +1,5 @@
 FROM nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04 AS nvidia
-FROM gcr.io/deeplearning-platform-release/base-cpu:m46
+FROM gcr.io/deeplearning-platform-release/base-cpu:m61
 
 # Avoid interactive configuration prompts/dialogs during apt-get.
 ENV DEBIAN_FRONTEND=noninteractive
diff --git a/tests/test_tensorflow.py b/tests/test_tensorflow.py
index 0b86cb5f..938a88f3 100644
--- a/tests/test_tensorflow.py
+++ b/tests/test_tensorflow.py
@@ -8,8 +8,8 @@
 
 class TestTensorflow(unittest.TestCase):
     def test_addition(self):        
-        result = tf.add(2, 3)
-        self.assertEqual(5, result.numpy())
+        result = tf.add([1, 2], [3, 4])
+        self.assertEqual([2], result.shape)
 
     def test_conv2d(self):
         input = tf.random.normal([1,2,2,1])
@@ -66,7 +66,7 @@ def test_gpu(self):
             m1 = tf.constant([2.0, 3.0], shape=[1, 2], name='a')
             m2 = tf.constant([3.0, 4.0], shape=[2, 1], name='b')
             result = tf.matmul(m1, m2)
-            self.assertEqual(np.array(18, dtype=np.float32, ndmin=2), result.numpy())
+            self.assertEqual([1, 1], result.shape)
 
     @gpu_test
     def test_is_built_with_cuda(self):
diff --git a/tests/test_tensorflow_addons.py b/tests/test_tensorflow_addons.py
index 3ccd0167..21466d9d 100644
--- a/tests/test_tensorflow_addons.py
+++ b/tests/test_tensorflow_addons.py
@@ -11,7 +11,7 @@ def test_tfa_image(self):
         img = tf.image.convert_image_dtype(img, tf.float32)
         mean = tfa.image.mean_filter2d(img, filter_shape=1)
 
-        self.assertEqual(1, len(mean))
+        self.assertEqual([1, 1, 3], mean.shape)
     
     # This test exercises TFA Custom Op. See: b/145555176
     def test_gelu(self):
diff --git a/tests/test_tensorforce.py b/tests/test_tensorforce.py
new file mode 100644
index 00000000..a468b27c
--- /dev/null
+++ b/tests/test_tensorforce.py
@@ -0,0 +1,30 @@
+import unittest
+
+from tensorforce import Agent, Environment
+
+class TestTensorforce(unittest.TestCase):
+    # based on https://github.com/tensorforce/tensorforce/tree/master#quickstart-example-code.
+    def test_quickstart(self):
+        environment = Environment.create(
+            environment='gym', level='CartPole', max_episode_timesteps=500
+        )
+
+        agent = Agent.create(
+            agent='tensorforce',
+            environment=environment,  # alternatively: states, actions, (max_episode_timesteps)
+            memory=1000,
+            update=dict(unit='timesteps', batch_size=32),
+            optimizer=dict(type='adam', learning_rate=3e-4),
+            policy=dict(network='auto'),
+            objective='policy_gradient',
+            reward_estimation=dict(horizon=1)
+        )
+
+        # Train for a single episode.
+        states = environment.reset()
+        actions = agent.act(states=states)
+        states, terminal, reward = environment.execute(actions=actions)
+
+        self.assertEqual(4, len(states))
+        self.assertFalse(terminal)
+        self.assertEqual(1, reward)

From 9ba46ce466981a693dd17df85cf1b2f919d8f1b1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Korn=C3=A9l=20Regius?=
 <38956225+kornelregius@users.noreply.github.com>
Date: Wed, 13 Jan 2021 16:46:19 +0000
Subject: [PATCH 1073/1660] Simplified Cloud AI API integration. (#932)

* Cloud Translation, Natural language, Vision,
Video intelligence GCP integrations.
---
 dev.Dockerfile                       |  3 +-
 patches/kaggle_gcp.py                | 53 +++++++++-------------------
 patches/kaggle_secrets.py            | 22 +++---------
 tests/test_automl.py                 | 30 +++++++++++-----
 tests/test_natural_language.py       |  8 ++---
 tests/test_tensorflow_credentials.py |  4 +--
 tests/test_translation.py            | 14 ++++----
 tests/test_user_secrets.py           | 20 +++--------
 tests/test_video_intelligence.py     |  8 ++---
 tests/test_vision.py                 |  8 ++---
 10 files changed, 70 insertions(+), 100 deletions(-)

diff --git a/dev.Dockerfile b/dev.Dockerfile
index fdeba052..4a661136 100644
--- a/dev.Dockerfile
+++ b/dev.Dockerfile
@@ -19,4 +19,5 @@ ADD patches/kaggle_gcp.py /root/.local/lib/python3.7/site-packages/kaggle_gcp.py
 ADD patches/kaggle_secrets.py /root/.local/lib/python3.7/site-packages/kaggle_secrets.py
 ADD patches/kaggle_session.py /root/.local/lib/python3.7/site-packages/kaggle_session.py
 ADD patches/kaggle_web_client.py /root/.local/lib/python3.7/site-packages/kaggle_web_client.py
-ADD patches/kaggle_datasets.py /root/.local/lib/python3.7/site-packages/kaggle_datasets.py
\ No newline at end of file
+ADD patches/kaggle_datasets.py /root/.local/lib/python3.7/site-packages/kaggle_datasets.py
+ADD patches/sitecustomize.py /root/.local/lib/python3.7/site-packages/sitecustomize.py
\ No newline at end of file
diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index d084a0b7..ced3555a 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -42,20 +42,9 @@ def has_bigquery(self):
     def has_gcs(self):
         return GcpTarget.GCS in self.integrations
 
-    def has_automl(self):
-        return GcpTarget.AUTOML in self.integrations
-
-    def has_translation(self):
-        return GcpTarget.TRANSLATION in self.integrations
-
-    def has_natural_language(self):
-        return GcpTarget.NATURAL_LANGUAGE in self.integrations
-
-    def has_video_intelligence(self):
-        return GcpTarget.VIDEO_INTELLIGENCE in self.integrations
-
-    def has_vision(self):
-        return GcpTarget.VISION in self.integrations
+    def has_cloudai(self):
+        return GcpTarget.CLOUDAI in self.integrations or \
+            GcpTarget.AUTOML in self.integrations
 
 class KaggleKernelCredentials(credentials.Credentials):
     """Custom Credentials used to authenticate using the Kernel's connected OAuth account.
@@ -74,16 +63,8 @@ def refresh(self, request):
                 self.token, self.expiry = client.get_bigquery_access_token()
             elif self.target == GcpTarget.GCS:
                 self.token, self.expiry = client._get_gcs_access_token()
-            elif self.target == GcpTarget.AUTOML:
-                self.token, self.expiry = client._get_automl_access_token()
-            elif self.target == GcpTarget.TRANSLATION:
-                self.token, self.expiry = client._get_translation_access_token()
-            elif self.target == GcpTarget.NATURAL_LANGUAGE:
-                self.token, self.expiry = client._get_natural_language_access_token()
-            elif self.target == GcpTarget.VIDEO_INTELLIGENCE:
-                self.token, self.expiry = client._get_video_intelligence_access_token()
-            elif self.target == GcpTarget.VISION:
-                self.token, self.expiry = client._get_vision_access_token()
+            elif self.target == GcpTarget.CLOUDAI:
+                self.token, self.expiry = client._get_cloudai_access_token()
         except ConnectionError as e:
             Log.error(f"Connection error trying to refresh access token: {e}")
             print("There was a connection error trying to fetch the access token. "
@@ -262,12 +243,12 @@ def init_automl():
         return
 
     from kaggle_gcp import get_integrations
-    if not get_integrations().has_automl():
+    if not get_integrations().has_cloudai():
         return
 
     from kaggle_secrets import GcpTarget
     from kaggle_gcp import KaggleKernelCredentials
-    kaggle_kernel_credentials = KaggleKernelCredentials(target=GcpTarget.AUTOML)
+    kaggle_kernel_credentials = KaggleKernelCredentials(target=GcpTarget.CLOUDAI)
 
     # Patch the 2 GA clients: AutoMlClient and PreditionServiceClient
     monkeypatch_client(automl.AutoMlClient, kaggle_kernel_credentials)
@@ -293,10 +274,10 @@ def init_translation_v2():
         return translate_v2
 
     from kaggle_gcp import get_integrations
-    if not get_integrations().has_translation():
+    if not get_integrations().has_cloudai():
         return translate_v2
     from kaggle_secrets import GcpTarget
-    kernel_credentials = KaggleKernelCredentials(target=GcpTarget.TRANSLATION)
+    kernel_credentials = KaggleKernelCredentials(target=GcpTarget.CLOUDAI)
     monkeypatch_client(translate_v2.Client, kernel_credentials)
     return translate_v2
 
@@ -307,10 +288,10 @@ def init_translation_v3():
         return translate_v3
 
     from kaggle_gcp import get_integrations
-    if not get_integrations().has_translation():
+    if not get_integrations().has_cloudai():
         return translate_v3
     from kaggle_secrets import GcpTarget
-    kernel_credentials = KaggleKernelCredentials(target=GcpTarget.TRANSLATION)
+    kernel_credentials = KaggleKernelCredentials(target=GcpTarget.CLOUDAI)
     monkeypatch_client(translate_v3.TranslationServiceClient, kernel_credentials)
     return translate_v3
 
@@ -320,11 +301,11 @@ def init_natural_language():
         return language
 
     from kaggle_gcp import get_integrations
-    if not get_integrations().has_natural_language():
+    if not get_integrations().has_cloudai():
         return language
 
     from kaggle_secrets import GcpTarget
-    kernel_credentials = KaggleKernelCredentials(target=GcpTarget.NATURAL_LANGUAGE)
+    kernel_credentials = KaggleKernelCredentials(target=GcpTarget.CLOUDAI)
     monkeypatch_client(language.LanguageServiceClient, kernel_credentials)    
     monkeypatch_client(language.LanguageServiceAsyncClient, kernel_credentials)
     return language
@@ -335,11 +316,11 @@ def init_video_intelligence():
         return videointelligence
 
     from kaggle_gcp import get_integrations
-    if not get_integrations().has_video_intelligence():
+    if not get_integrations().has_cloudai():
         return videointelligence
 
     from kaggle_secrets import GcpTarget
-    kernel_credentials = KaggleKernelCredentials(target=GcpTarget.VIDEO_INTELLIGENCE)
+    kernel_credentials = KaggleKernelCredentials(target=GcpTarget.CLOUDAI)
     monkeypatch_client(
         videointelligence.VideoIntelligenceServiceClient,
         kernel_credentials)
@@ -354,11 +335,11 @@ def init_vision():
         return vision
 
     from kaggle_gcp import get_integrations
-    if not get_integrations().has_vision():
+    if not get_integrations().has_cloudai():
         return vision
 
     from kaggle_secrets import GcpTarget
-    kernel_credentials = KaggleKernelCredentials(target=GcpTarget.VISION)
+    kernel_credentials = KaggleKernelCredentials(target=GcpTarget.CLOUDAI)
     monkeypatch_client(vision.ImageAnnotatorClient, kernel_credentials)
     monkeypatch_client(vision.ImageAnnotatorAsyncClient, kernel_credentials)
     return vision
diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index 0aa7c01e..c1c5dc99 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -23,11 +23,9 @@ class GcpTarget(Enum):
     """Enum class to store GCP targets."""
     BIGQUERY = (1, "BigQuery")
     GCS = (2, "Google Cloud Storage")
+    # Old name, should remove later.
     AUTOML = (3, "Cloud AutoML")
-    TRANSLATION = (4, "Cloud Translation")
-    NATURAL_LANGUAGE = (5, "Cloud Natural Language")
-    VIDEO_INTELLIGENCE = (6, "Cloud Video Intelligence")
-    VISION = (7, "Cloud Vision")
+    CLOUDAI = (3, "Google Cloud AI Platform")
 
     def __init__(self, target, service):
         self._target = target
@@ -155,20 +153,8 @@ def _write_gsutil_credentials_file(self, credentials) -> str:
     def _get_gcs_access_token(self) -> Tuple[str, Optional[datetime]]:
         return self._get_access_token(GcpTarget.GCS)
 
-    def _get_automl_access_token(self) -> Tuple[str, Optional[datetime]]:
-        return self._get_access_token(GcpTarget.AUTOML)
-
-    def _get_translation_access_token(self) -> Tuple[str, Optional[datetime]]:
-        return self._get_access_token(GcpTarget.TRANSLATION)
-
-    def _get_natural_language_access_token(self) -> Tuple[str, Optional[datetime]]:
-        return self._get_access_token(GcpTarget.NATURAL_LANGUAGE)
-
-    def _get_video_intelligence_access_token(self) -> Tuple[str, Optional[datetime]]:
-        return self._get_access_token(GcpTarget.VIDEO_INTELLIGENCE)
-
-    def _get_vision_access_token(self) -> Tuple[str, Optional[datetime]]:
-        return self._get_access_token(GcpTarget.VISION)
+    def _get_cloudai_access_token(self) -> Tuple[str, Optional[datetime]]:
+        return self._get_access_token(GcpTarget.CLOUDAI)
 
     def _get_access_token(self, target: GcpTarget) -> Tuple[str, Optional[datetime]]:
         request_body = {
diff --git a/tests/test_automl.py b/tests/test_automl.py
index 37571fe9..ba906a5f 100644
--- a/tests/test_automl.py
+++ b/tests/test_automl.py
@@ -27,7 +27,7 @@ def test_user_provided_credentials(self):
         credentials = _make_credentials()
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'AUTOML')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             init_automl()
             client = automl.AutoMlClient(credentials=credentials)
@@ -48,7 +48,7 @@ def test_tables_client_credentials(self):
         credentials = _make_credentials()
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'AUTOML')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             init_automl()
             tables_client = automl_v1beta1.TablesClient(credentials=credentials)
@@ -58,7 +58,7 @@ def test_tables_client_credentials(self):
     def test_default_credentials_automl_client(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'AUTOML')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             init_automl()
             automl_client = automl.AutoMlClient()
@@ -70,7 +70,7 @@ def test_default_credentials_automl_client(self):
     def test_default_credentials_automl_v1beta1_client(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'AUTOML')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             init_automl()
             automl_client = automl_v1beta1.AutoMlClient()
@@ -82,7 +82,7 @@ def test_default_credentials_automl_v1beta1_client(self):
     def test_default_credentials_tables_client(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'AUTOML')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             init_automl()
             tables_client = automl_v1beta1.TablesClient()
@@ -94,7 +94,7 @@ def test_default_credentials_tables_client(self):
     def test_default_credentials_prediction_client(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'AUTOML')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             prediction_client = automl.PredictionServiceClient()
             self.assertIsNotNone(prediction_client.credentials)
@@ -105,7 +105,7 @@ def test_default_credentials_prediction_client(self):
     def test_default_credentials_prediction_v1beta1_client(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'AUTOML')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             prediction_client = automl_v1beta1.PredictionServiceClient()
             self.assertIsNotNone(prediction_client.credentials)
@@ -115,9 +115,23 @@ def test_default_credentials_prediction_v1beta1_client(self):
     def test_monkeypatching_idempotent(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'AUTOML')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             client1 = automl.AutoMlClient.__init__
             init_automl()
             client2 = automl.AutoMlClient.__init__
             self.assertEqual(client1, client2)
+
+    @patch("google.cloud.automl_v1beta1.PredictionServiceClient", new=FakeClient)
+    def test_legacy_AUTOML_variable_v1beta1_client(self):
+        """
+        Tests previous KAGGLE_KERNEL_INTEGRATIONS="AUTOML" environment setting
+        """
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'AUTOML')
+        with env:
+            prediction_client = automl_v1beta1.PredictionServiceClient()
+            self.assertIsNotNone(prediction_client.credentials)
+            self.assertIsInstance(prediction_client.credentials, KaggleKernelCredentials)
+            self.assertTrue(prediction_client._connection.user_agent.startswith("kaggle-gcp-client/1.0"))
\ No newline at end of file
diff --git a/tests/test_natural_language.py b/tests/test_natural_language.py
index 0ae6f6ed..e2939013 100644
--- a/tests/test_natural_language.py
+++ b/tests/test_natural_language.py
@@ -26,7 +26,7 @@ def __init__(self, user_agent):
     def test_default_credentials(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'NATURAL_LANGUAGE')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             init_natural_language()
             client = language.LanguageServiceClient()
@@ -38,7 +38,7 @@ def test_user_provided_credentials(self):
         credentials = _make_credentials()
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'NATURAL_LANGUAGE')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             init_natural_language()
             client = language.LanguageServiceClient(credentials=credentials)
@@ -49,7 +49,7 @@ def test_user_provided_credentials(self):
     def test_monkeypatching_succeed(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'TRANSLATION')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             init_natural_language()
             client = language.LanguageServiceClient.__init__
@@ -58,7 +58,7 @@ def test_monkeypatching_succeed(self):
     def test_monkeypatching_idempotent(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'NATURAL_LANGUAGE')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             init_natural_language()
             client1 = language.LanguageServiceClient.__init__
diff --git a/tests/test_tensorflow_credentials.py b/tests/test_tensorflow_credentials.py
index 42280446..628b35c1 100644
--- a/tests/test_tensorflow_credentials.py
+++ b/tests/test_tensorflow_credentials.py
@@ -13,7 +13,7 @@ def test_set_tensorflow_credential(self, mock_configure_gcs):
         credential = '{"client_id":"fake_client_id",' \
             '"client_secret":"fake_client_secret",' \
             '"refresh_token":"not a refresh token",' \
-            '"type":"authorized_user"}';
+            '"type":"authorized_user"}'
 
         env = EnvironmentVarGuard()
         env.set('HOME', '/tmp')
@@ -22,7 +22,7 @@ def test_set_tensorflow_credential(self, mock_configure_gcs):
         # These need to be set to make UserSecretsClient happy, but aren't
         # pertinent to this test.
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'AUTOML')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
 
         user_secrets = UserSecretsClient()
         user_secrets.set_tensorflow_credential(credential)
diff --git a/tests/test_translation.py b/tests/test_translation.py
index 83618a14..a55132c9 100644
--- a/tests/test_translation.py
+++ b/tests/test_translation.py
@@ -28,7 +28,7 @@ def __init__(self, user_agent):
     def test_default_credentials_v2(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'TRANSLATION')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             init_translation_v2()
             client = translate_v2.Client()
@@ -41,7 +41,7 @@ def test_user_provided_credentials_v2(self):
         credentials = _make_credentials()
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'TRANSLATION')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             init_translation_v2()
             client = translate_v2.Client(credentials=credentials)
@@ -52,7 +52,7 @@ def test_user_provided_credentials_v2(self):
     def test_default_credentials_v3(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'TRANSLATION')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             init_translation_v3()
             client = translate.TranslationServiceClient()
@@ -65,7 +65,7 @@ def test_user_provided_credentials_v3(self):
         credentials = _make_credentials()
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'TRANSLATION')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             init_translation_v3()
             client = translate.TranslationServiceClient(credentials=credentials)
@@ -76,7 +76,7 @@ def test_user_provided_credentials_v3(self):
     def test_monkeypatching_succeed(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'TRANSLATION')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             init_translation_v2()
             init_translation_v3()
@@ -90,7 +90,7 @@ def test_monkeypatching_succeed(self):
     def test_monkeypatching_idempotent(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'TRANSLATION')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             init_translation_v2()
             init_translation_v3()
@@ -116,7 +116,7 @@ def test_client_credential_uniqueness_v3(self):
         credentials = _make_credentials()
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'TRANSLATION')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             init_translation_v3()
             client1 = translate.TranslationServiceClient()
diff --git a/tests/test_user_secrets.py b/tests/test_user_secrets.py
index 7f71ccf4..606a5c8c 100644
--- a/tests/test_user_secrets.py
+++ b/tests/test_user_secrets.py
@@ -178,9 +178,9 @@ def call_get_gcs_access_token():
             client = UserSecretsClient()
             secret_response = client._get_gcs_access_token()
             self.assertEqual(secret_response, (secret, now + timedelta(seconds=3600)))
-        def call_get_automl_access_token():
+        def call_get_cloudai_access_token():
             client = UserSecretsClient()
-            secret_response = client._get_automl_access_token()
+            secret_response = client._get_cloudai_access_token()
             self.assertEqual(secret_response, (secret, now + timedelta(seconds=3600)))
         def call_get_translation_access_token():
             client = UserSecretsClient()
@@ -205,20 +205,8 @@ def call_get_vision_access_token():
         self._test_client(call_get_gcs_access_token,
                           '/requests/GetUserSecretRequest', {'Target': GcpTarget.GCS.target},
                           secret=secret)
-        self._test_client(call_get_automl_access_token,
-                          '/requests/GetUserSecretRequest', {'Target': GcpTarget.AUTOML.target},
-                          secret=secret)
-        self._test_client(call_get_translation_access_token,
-                          '/requests/GetUserSecretRequest', {'Target': GcpTarget.TRANSLATION.target},
-                          secret=secret)
-        self._test_client(call_get_natural_lang_access_token,
-                          '/requests/GetUserSecretRequest', {'Target': GcpTarget.NATURAL_LANGUAGE.target},
-                          secret=secret)
-        self._test_client(call_get_video_intell_access_token,
-                          '/requests/GetUserSecretRequest', {'Target': GcpTarget.VIDEO_INTELLIGENCE.target},
-                          secret=secret)
-        self._test_client(call_get_vision_access_token,
-                          '/requests/GetUserSecretRequest', {'Target': GcpTarget.VISION.target},
+        self._test_client(call_get_cloudai_access_token,
+                          '/requests/GetUserSecretRequest', {'Target': GcpTarget.CLOUDAI.target},
                           secret=secret)
 
     def test_get_access_token_handles_unsuccessful(self):
diff --git a/tests/test_video_intelligence.py b/tests/test_video_intelligence.py
index 856aefdf..15267c85 100644
--- a/tests/test_video_intelligence.py
+++ b/tests/test_video_intelligence.py
@@ -26,7 +26,7 @@ def __init__(self, user_agent):
     def test_default_credentials(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'VIDEO_INTELLIGENCE')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             init_video_intelligence()
             client = videointelligence.VideoIntelligenceServiceClient()
@@ -38,7 +38,7 @@ def test_user_provided_credentials(self):
         credentials = _make_credentials()
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'VIDEO_INTELLIGENCE')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             init_video_intelligence()
             client = videointelligence.VideoIntelligenceServiceClient(credentials=credentials)
@@ -48,7 +48,7 @@ def test_user_provided_credentials(self):
     def test_monkeypatching_succeed(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'TRANSLATION')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             init_video_intelligence()
             client = videointelligence.VideoIntelligenceServiceClient.__init__
@@ -57,7 +57,7 @@ def test_monkeypatching_succeed(self):
     def test_monkeypatching_idempotent(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'VIDEO_INTELLIGENCE')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             init_video_intelligence()
             client1 = videointelligence.VideoIntelligenceServiceClient.__init__
diff --git a/tests/test_vision.py b/tests/test_vision.py
index 0cd0c295..5fc112bf 100644
--- a/tests/test_vision.py
+++ b/tests/test_vision.py
@@ -26,7 +26,7 @@ def __init__(self, user_agent):
     def test_default_credentials(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'VISION')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             init_vision()
             client = vision.ImageAnnotatorClient()
@@ -38,7 +38,7 @@ def test_user_provided_credentials(self):
         credentials = _make_credentials()
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'VISION')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             init_vision()
             client = vision.ImageAnnotatorClient(credentials=credentials)
@@ -48,7 +48,7 @@ def test_user_provided_credentials(self):
     def test_monkeypatching_succeed(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'TRANSLATION')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             init_vision()
             client = vision.ImageAnnotatorClient.__init__
@@ -57,7 +57,7 @@ def test_monkeypatching_succeed(self):
     def test_monkeypatching_idempotent(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'VISION')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
         with env:
             init_vision()
             client1 = vision.ImageAnnotatorClient.__init__

From 1e7a9242e69f8d998ca753b1734300551d8cdd52 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 14 Jan 2021 10:54:52 -0800
Subject: [PATCH 1074/1660] Add sympy package (#937)

Required by our Learn vision class.

http://b/177552728
---
 Dockerfile          | 1 +
 tests/test_sympy.py | 8 ++++++++
 2 files changed, 9 insertions(+)
 create mode 100644 tests/test_sympy.py

diff --git a/Dockerfile b/Dockerfile
index b200d97b..89bba22c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -410,6 +410,7 @@ RUN pip install flashtext && \
     pip install pydegensac && \
     pip install pytorch-lightning && \
     pip install datatable && \
+    pip install sympy && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages
diff --git a/tests/test_sympy.py b/tests/test_sympy.py
new file mode 100644
index 00000000..d25991dc
--- /dev/null
+++ b/tests/test_sympy.py
@@ -0,0 +1,8 @@
+import unittest
+
+import numpy as np
+import sympy
+
+class TestSympy(unittest.TestCase):
+    def test_matrix(self):
+        self.assertEqual((2, 2), sympy.Matrix([[0, 1], [1, 0]]).shape)
\ No newline at end of file

From 773d26f869774fcff609a4cf6aa76cc42d910efe Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Tue, 19 Jan 2021 12:08:34 -0500
Subject: [PATCH 1075/1660] Post jenkins updates to Mattermost (#938)

http://b/174603325
---
 Jenkinsfile | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/Jenkinsfile b/Jenkinsfile
index d106bf4a..09021113 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -131,12 +131,15 @@ pipeline {
   post {
     failure {
       slackSend color: 'danger', message: "*<${env.BUILD_URL}console|${JOB_NAME} failed>* ${GIT_COMMIT_SUMMARY} @kernels-backend-ops", channel: env.SLACK_CHANNEL
+      mattermostSend color: 'danger', message: "*<${env.BUILD_URL}console|${JOB_NAME} failed>* ${GIT_COMMIT_SUMMARY} @kernels-backend-ops", channel: env.SLACK_CHANNEL
     }
     success {
       slackSend color: 'good', message: "*<${env.BUILD_URL}console|${JOB_NAME} passed>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
+      mattermostSend color: 'good', message: "*<${env.BUILD_URL}console|${JOB_NAME} passed>* ${GIT_COMMIT_SUMMARY} @kernels-backend-ops", channel: env.SLACK_CHANNEL
     }
     aborted {
       slackSend color: 'warning', message: "*<${env.BUILD_URL}console|${JOB_NAME} aborted>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
+      mattermostSend color: 'warning', message: "*<${env.BUILD_URL}console|${JOB_NAME} aborted>* ${GIT_COMMIT_SUMMARY} @kernels-backend-ops", channel: env.SLACK_CHANNEL
     }
   }
 }

From 3ce5712f7a103a733c404e4cfe94696a243c3235 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Thu, 21 Jan 2021 12:14:19 -0500
Subject: [PATCH 1076/1660] Fix nbconvert template (#939)

https://b.corp.google.com/issues/178057839
---
 Dockerfile                       |  1 +
 patches/nbconvert-extensions.tpl |  2 +-
 patches/template_conf.json       | 13 +++++++++++++
 3 files changed, 15 insertions(+), 1 deletion(-)
 create mode 100644 patches/template_conf.json

diff --git a/Dockerfile b/Dockerfile
index 89bba22c..5accf48a 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -6,6 +6,7 @@ FROM gcr.io/deeplearning-platform-release/base-cpu:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
+ADD patches/template_conf.json /opt/kaggle/conf.json
 
 # This is necessary for apt to access HTTPS sources
 RUN apt-get update && \
diff --git a/patches/nbconvert-extensions.tpl b/patches/nbconvert-extensions.tpl
index b3de090d..e40f0013 100644
--- a/patches/nbconvert-extensions.tpl
+++ b/patches/nbconvert-extensions.tpl
@@ -4,7 +4,7 @@ All cell metadata starting with '_kg_' will be included with its value ({key}-{v
 as a class in the cell's DIV container
 #}
     
-{% extends 'full.tpl'%}
+{% extends 'classic/index.html.j2'%}
 {% block any_cell %}
     <div class="{% for k in cell['metadata'] if k.startswith("_kg_") %}{{k}}-{{cell['metadata'][k] | lower}} {% endfor %}">
         {{ super() }}
diff --git a/patches/template_conf.json b/patches/template_conf.json
new file mode 100644
index 00000000..49cc88c2
--- /dev/null
+++ b/patches/template_conf.json
@@ -0,0 +1,13 @@
+{
+    "base_template": "classic",
+    "mimetypes": {
+        "text/html": true
+    },
+    "preprocessors": {
+        "100-pygments": {
+            "type": "nbconvert.preprocessors.CSSHTMLHeaderPreprocessor",
+            "enabled": true,
+            "style": "default"
+        }
+    }
+}
\ No newline at end of file

From 248f1b3578f1bba736cd491673c93aa9a0207879 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Thu, 21 Jan 2021 15:32:46 -0500
Subject: [PATCH 1077/1660] Fix theano test (#941)

http://b/178107003
---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 5accf48a..b45f15ab 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -83,7 +83,8 @@ RUN apt-get install -y libfreetype6-dev && \
     pip install keras && \
     pip install keras-tuner && \
     pip install flake8 && \
-    pip install theano-pymc && \
+    # Pinned because it breaks theano test with the latest version (b/178107003).
+    pip install theano-pymc==1.0.11 && \
     pip install python-Levenshtein && \
     pip install hep_ml && \
     # NLTK Project datasets

From 91aeeebc2fd5122c51ee9fb175ebee471a95ce4e Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 22 Jan 2021 11:27:03 -0800
Subject: [PATCH 1078/1660] Add support for V100 GPU. (#940)

TensorFlow must be built with 7.0 compute capability.

http://b/178104927
---
 tensorflow-whl/CHANGELOG.md | 3 ++-
 tensorflow-whl/Dockerfile   | 4 ++--
 2 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index 804daeee..e0582885 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -20,4 +20,5 @@
 * `2.3.1-py37`: TensorFlow 2.3.1 with Python 3.7
 * `2.3.1-py37-2`: TensorFlow 2.3.1 & TFA 0.11 with Python 3.7
 * `2.4.0-py37`: TensorFlow 2.4.0 & Python 3.7 & TFA 0.12
-* `2.4.0-py37-2`: TensorFlow 2.4.0 & m61 base image
\ No newline at end of file
+* `2.4.0-py37-2`: TensorFlow 2.4.0 & m61 base image
+* `2.4.0-py37-3`: TensorFlow 2.4.0 & 7.0 CUDA compute capability
\ No newline at end of file
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 7553ea78..48596189 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -103,8 +103,8 @@ RUN cd /usr/local/src/tensorflow_gcs_config && \
 # Create a tensorflow wheel for GPU/cuda
 ENV TF_NEED_CUDA=1
 ENV TF_CUDA_VERSION=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION
-# 3.7 is for the K80 and 6.0 is for the P100, 7.5 is for the T4: https://developer.nvidia.com/cuda-gpus
-ENV TF_CUDA_COMPUTE_CAPABILITIES=3.7,6.0,7.5
+# 3.7 (K80), 6.0 (P100), 7.0 (V100), 7.5 (T4): https://developer.nvidia.com/cuda-gpus
+ENV TF_CUDA_COMPUTE_CAPABILITIES=3.7,6.0,7.0,7.5
 ENV TF_CUDNN_VERSION=7
 ENV TF_NCCL_VERSION=2
 ENV NCCL_INSTALL_PATH=/usr/

From 3d647570a9ab2fa964f37c02c1b86ccc3a930ee8 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 22 Jan 2021 11:27:09 -0800
Subject: [PATCH 1079/1660] Use new TF wheels with CUDA 7.0 capability support
 (#942)

http://b/178104927
---
 Dockerfile     | 2 +-
 gpu.Dockerfile | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index b45f15ab..c25bd1e0 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=m61
 ARG TENSORFLOW_VERSION=2.4.0
 
-FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37-2 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37-3 as tensorflow_whl
 FROM gcr.io/deeplearning-platform-release/base-cpu:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index c9741cb7..3fbdf420 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=staging
 
 FROM nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04 AS nvidia
-FROM gcr.io/kaggle-images/python-tensorflow-whl:2.4.0-py37-2 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:2.4.0-py37-3 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh

From d0f869b3bb3481b39f5dd69c806a21c628522bb9 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Tue, 26 Jan 2021 13:34:47 -0500
Subject: [PATCH 1080/1660] Pycrypto (#947)

---
 Dockerfile             |  2 ++
 tests/test_pycrypto.py | 10 ++++++++++
 2 files changed, 12 insertions(+)
 create mode 100644 tests/test_pycrypto.py

diff --git a/Dockerfile b/Dockerfile
index c25bd1e0..8902ac1f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -413,6 +413,8 @@ RUN pip install flashtext && \
     pip install pytorch-lightning && \
     pip install datatable && \
     pip install sympy && \
+    # pycrypto is used by competitions team.
+    pip install pycrypto && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages
diff --git a/tests/test_pycrypto.py b/tests/test_pycrypto.py
new file mode 100644
index 00000000..f1ef1b82
--- /dev/null
+++ b/tests/test_pycrypto.py
@@ -0,0 +1,10 @@
+import unittest
+
+from Crypto.Hash import SHA256
+
+class TestPycrypto(unittest.TestCase):
+    def test_digest(self):
+        hash = SHA256.new()
+        hash.update('message'.encode('utf-8'))
+        h = hash.digest()
+        self.assertEqual(h, b'\xabS\n\x13\xe4Y\x14\x98+y\xf9\xb7\xe3\xfb\xa9\x94\xcf\xd1\xf3\xfb"\xf7\x1c\xea\x1a\xfb\xf0+F\x0cm\x1d')

From 4e20d1d860266330f6016d0b54c525655e1e7d64 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 26 Jan 2021 11:59:53 -0800
Subject: [PATCH 1081/1660] Add flask. (#946)

- Also added tests to prevent regression.

flask was removed from the base image we use:

```
rosbo@rosbo:~$ docker run -it --rm gcr.io/deeplearning-platform-release/base-cpu:m46 pip show flask
Name: Flask
Version: 1.1.2
Summary: A simple framework for building complex web applications.
Home-page: https://palletsprojects.com/p/flask/
Author: Armin Ronacher
Author-email: armin.ronacher@active-4.com
License: BSD-3-Clause
Location: /opt/conda/lib/python3.7/site-packages
Requires: Werkzeug, itsdangerous, click, Jinja2
Required-by:
rosbo@rosbo:~$ docker run -it --rm gcr.io/deeplearning-platform-release/base-cpu:m61 pip show flask
WARNING: Package(s) not found: flask
```
---
 Dockerfile          |  2 ++
 tests/test_flask.py | 10 ++++++++++
 2 files changed, 12 insertions(+)
 create mode 100644 tests/test_flask.py

diff --git a/Dockerfile b/Dockerfile
index 8902ac1f..5cb02d25 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -413,6 +413,8 @@ RUN pip install flashtext && \
     pip install pytorch-lightning && \
     pip install datatable && \
     pip install sympy && \
+    # flask is used by agents in the simulation competitions.
+    pip install flask && \
     # pycrypto is used by competitions team.
     pip install pycrypto && \
     /tmp/clean-layer.sh
diff --git a/tests/test_flask.py b/tests/test_flask.py
new file mode 100644
index 00000000..7b0ed27c
--- /dev/null
+++ b/tests/test_flask.py
@@ -0,0 +1,10 @@
+import unittest
+
+from flask import Flask, request
+
+class TestFlask(unittest.TestCase):
+    def test_request(self):
+        app = Flask(__name__)
+        with app.test_request_context('/foo', method='POST'):
+            assert request.path == '/foo'
+            assert request.method == 'POST'

From eadd3e1abc8f4278083fe5535c4462570d00e314 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 28 Jan 2021 17:20:32 -0800
Subject: [PATCH 1082/1660] Remove warning from lightGBM test. (#950)

```
[LightGBM] [Warning] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000252 seconds.
You can set `force_row_wise=true` to remove the overhead.
```
---
 tests/test_lightgbm.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/tests/test_lightgbm.py b/tests/test_lightgbm.py
index 09650bfe..f7c5ada4 100644
--- a/tests/test_lightgbm.py
+++ b/tests/test_lightgbm.py
@@ -21,6 +21,7 @@ def test_cpu(self):
             'feature_fraction': 0.9,
             'bagging_fraction': 0.8,
             'bagging_freq': 5,
+            'force_row_wise': True,
             'verbose': 0
         }
 
@@ -46,6 +47,7 @@ def test_gpu(self):
             'feature_fraction': 0.9,
             'bagging_fraction': 0.8,
             'bagging_freq': 5,
+            'force_row_wise': True,
             'verbose': 1,
             'device': 'gpu'
         }

From f3951d4f887f45e66b415620c50afbc31cbf3895 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 1 Feb 2021 18:35:15 -0800
Subject: [PATCH 1083/1660] Improve xgboost test. (#949)

- Add assertion.
- Stopped using deprecated label encoder (removes the following warning: https://paste.googleplex.com/6273615185051648)
---
 tests/test_xgboost.py | 17 ++++++++++++-----
 1 file changed, 12 insertions(+), 5 deletions(-)

diff --git a/tests/test_xgboost.py b/tests/test_xgboost.py
index 00e1beb4..6b6c6ec1 100644
--- a/tests/test_xgboost.py
+++ b/tests/test_xgboost.py
@@ -1,9 +1,9 @@
 import unittest
 
+import numpy as np
 import xgboost
 
 from distutils.version import StrictVersion
-from sklearn import datasets
 from xgboost import XGBClassifier
 
 class TestXGBoost(unittest.TestCase):
@@ -12,8 +12,15 @@ def test_version(self):
         self.assertGreaterEqual(StrictVersion(xgboost.__version__), StrictVersion("1.2.1"))
 
     def test_classifier(self):
-        boston = datasets.load_boston()
-        X, y = boston.data, boston.target
+        X_train = np.random.random((100, 28))
+        y_train = np.random.randint(10, size=(100, 1))
+        X_test = np.random.random((100, 28))
+        y_test = np.random.randint(10, size=(100, 1))
 
-        xgb1 = XGBClassifier(n_estimators=3)
-        xgb1.fit(X[0:70],y[0:70])
+        xgb1 = XGBClassifier(n_estimators=3, use_label_encoder=False)
+        xgb1.fit(
+            X_train, y_train,
+            eval_set=[(X_train, y_train), (X_test, y_test)],
+            eval_metric='mlogloss',
+        )
+        self.assertIn("validation_0", xgb1.evals_result())

From 6bf54eaefddd3782f713df28095c22eb9b8d75c6 Mon Sep 17 00:00:00 2001
From: Daniel <40571430+donielix@users.noreply.github.com>
Date: Tue, 2 Feb 2021 17:04:00 +0100
Subject: [PATCH 1084/1660] Keep jedi version 0.17.2

Keep jedi package's version in 0.17.2. Lastest version breaks autocomplete on jupyter. https://github.com/ipython/ipython/issues/12740
---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 5cb02d25..a714f7c3 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -301,7 +301,8 @@ RUN pip install bleach && \
     pip install ipython-genutils && \
     pip install ipywidgets && \
     pip install isoweek && \
-    pip install jedi && \
+    # Lastest version breaks ipython. https://github.com/ipython/ipython/issues/12740
+    pip install jedi==0.17.2 && \
     pip install Jinja2 && \
     pip install jsonschema && \
     pip install jupyter && \

From 39b53d233f2b49ad211560da4ef2332c2532f367 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 3 Feb 2021 12:34:37 -0800
Subject: [PATCH 1085/1660] Pin cvxpy to 1.1.7 (#955)

1.1.8 is incompatible with our version of numpy.

http://b/179264579
---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index a714f7c3..50f5dd45 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -188,6 +188,8 @@ RUN pip install mpld3 && \
     pip install ImageHash && \
     pip install ecos && \
     pip install CVXcanon && \
+    # b/179264579 cvxpy 1.1.8 requires numpy >= 1.20
+    pip install cvxpy==1.1.7 && \
     pip install fancyimpute && \
     pip install pymc3 && \
     pip install imagecodecs && \

From 5bbe56d6436dfb3c9ce500c93307c62497b3d7c0 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 3 Feb 2021 15:21:54 -0800
Subject: [PATCH 1086/1660] Use new TF 2.4.1 whl (#954)

http://b/179051776
---
 Dockerfile     | 4 ++--
 gpu.Dockerfile | 2 +-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 50f5dd45..9d487c73 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=m61
-ARG TENSORFLOW_VERSION=2.4.0
+ARG TENSORFLOW_VERSION=2.4.1
 
-FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37-3 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37 as tensorflow_whl
 FROM gcr.io/deeplearning-platform-release/base-cpu:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 3fbdf420..4a945da4 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=staging
 
 FROM nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04 AS nvidia
-FROM gcr.io/kaggle-images/python-tensorflow-whl:2.4.0-py37-3 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:2.4.1-py37 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh

From ddc0c009d807b4186b4e0e087064487954d697bf Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 3 Feb 2021 15:22:27 -0800
Subject: [PATCH 1087/1660] Build new TensorFlow 2.4.1 whl. (#951)

- Also upgrade TensorFlow addons to 0.12.1
- Use bazelisk

http://b/179051776\
---
 tensorflow-whl/CHANGELOG.md |  3 ++-
 tensorflow-whl/Dockerfile   | 18 +++++++-----------
 2 files changed, 9 insertions(+), 12 deletions(-)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index e0582885..a1a946e8 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -21,4 +21,5 @@
 * `2.3.1-py37-2`: TensorFlow 2.3.1 & TFA 0.11 with Python 3.7
 * `2.4.0-py37`: TensorFlow 2.4.0 & Python 3.7 & TFA 0.12
 * `2.4.0-py37-2`: TensorFlow 2.4.0 & m61 base image
-* `2.4.0-py37-3`: TensorFlow 2.4.0 & 7.0 CUDA compute capability
\ No newline at end of file
+* `2.4.0-py37-3`: TensorFlow 2.4.0 & 7.0 CUDA compute capability
+* `2.4.1-py37`: TensorFlow 2.4.1 & TFA 0.12.1
\ No newline at end of file
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 48596189..ad159e87 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -52,21 +52,17 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
 
 RUN pip install --upgrade pip
 
-# See _TF_(MIN|MAX)_BAZEL_VERSION at https://github.com/tensorflow/tensorflow/blob/master/configure.py.
-ENV BAZEL_VERSION=3.1.0
-RUN apt-get install -y gnupg zip openjdk-8-jdk && \
-    apt-get install -y --no-install-recommends \
-      bash-completion \
-      zlib1g-dev && \
-    wget --no-verbose "https://github.com/bazelbuild/bazel/releases/download/${BAZEL_VERSION}/bazel_${BAZEL_VERSION}-linux-x86_64.deb" && \
-    dpkg -i bazel_*.deb && \
-    rm bazel_*.deb
+# Use Bazelisk to ensure the proper bazel version is used.
+RUN cd /usr/local/src && \
+    wget --no-verbose "https://github.com/bazelbuild/bazelisk/releases/download/v1.7.4/bazelisk-linux-amd64" && \
+    mv bazelisk-linux-amd64 /usr/local/bin/bazel && \
+    chmod u+x /usr/local/bin/bazel
 
 # Fetch TensorFlow & install dependencies.
 RUN cd /usr/local/src && \
     git clone https://github.com/tensorflow/tensorflow && \
     cd tensorflow && \
-    git checkout tags/v2.4.0 && \
+    git checkout tags/v2.4.1 && \
     pip install keras_applications --no-deps && \
     pip install keras_preprocessing --no-deps
 
@@ -87,7 +83,7 @@ RUN pip install /tmp/tensorflow_cpu/tensorflow*.whl
 RUN cd /usr/local/src/ && \
     git clone https://github.com/tensorflow/addons && \
     cd addons && \
-    git checkout tags/v0.12.0 && \
+    git checkout tags/v0.12.1 && \
     python ./configure.py && \
     bazel build --enable_runfiles build_pip_pkg && \
     bazel-bin/build_pip_pkg /tmp/tfa_cpu && \

From c4bd2a963603e91f6039febd6c2a5e2949f216e9 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 4 Feb 2021 09:23:19 -0800
Subject: [PATCH 1088/1660] Add pydot package (#956)

This is used by keras plot_model() function.

Included a test to prevent regression.
Improved the existing tf test with extra assertions.

The issue was raised by a user here: https://www.kaggle.com/c/jane-street-market-prediction/discussion/214494#1184233
---
 Dockerfile               |  1 +
 tests/test_tensorflow.py | 13 ++++++++++---
 2 files changed, 11 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 9d487c73..f7080c5b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -80,6 +80,7 @@ RUN apt-get install -y libfreetype6-dev && \
     pip install xgboost && \
     # Pinned to match GPU version. Update version together.
     pip install lightgbm==3.1.1 && \
+    pip install pydot && \
     pip install keras && \
     pip install keras-tuner && \
     pip install flake8 && \
diff --git a/tests/test_tensorflow.py b/tests/test_tensorflow.py
index 938a88f3..8b415e25 100644
--- a/tests/test_tensorflow.py
+++ b/tests/test_tensorflow.py
@@ -1,4 +1,5 @@
 import unittest
+import os.path
 
 import numpy as np
 import tensorflow as tf
@@ -37,8 +38,13 @@ def test_tf_keras(self):
             metrics=['accuracy'])
 
         model.fit(x_train, y_train, epochs=1)
-        model.evaluate(x_test, y_test)
-        
+
+        result = model.evaluate(x_test, y_test)
+        self.assertEqual(2, len(result))
+
+        # exercices pydot path.
+        tf.keras.utils.plot_model(model, to_file="tf_plot_model.png")
+        self.assertTrue(os.path.isfile("tf_plot_model.png"))          
 
     def test_lstm(self):
         x_train = np.random.random((100, 28, 28))
@@ -58,7 +64,8 @@ def test_lstm(self):
             metrics=['accuracy'])
 
         model.fit(x_train, y_train, epochs=1)
-        model.evaluate(x_test, y_test)
+        result = model.evaluate(x_test, y_test)
+        self.assertEqual(2, len(result))
     
     @gpu_test
     def test_gpu(self):

From e0a40b74d39f2c2122323c84895a1a49154a78d4 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 18 Feb 2021 15:15:17 -0800
Subject: [PATCH 1089/1660] Schedule build every day of the week. (#959)

Starts 3 hours before the SDG daily build: https://github.com/Kaggle/shared-docker-graph-builder/blob/490eff4a2b34a22837a9a32df9c90733f562ce6d/Jenkinsfile#L4
---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 09021113..74b26dd9 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -1,4 +1,4 @@
-String cron_string = BRANCH_NAME == "master" ? "H 12 * * 1,3,5" : ""
+String cron_string = BRANCH_NAME == "master" ? "H 12 * * 1-5" : "" // Mon-Fri at noon UTC, 8am EST, 5am PDT
 
 pipeline {
   agent { label 'ephemeral-linux' }

From 7d96deebbcd56caff2e905fa2ee1d9aff4bfe839 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 25 Feb 2021 18:54:28 -0800
Subject: [PATCH 1090/1660] Avoid having to use sudo for running the tests.
 (#962)

A test run creates files under the /tmp/python-build directory. The
owner of these files are the user assigned to your docker process.

Running `rm -rf /tmp/python-build` in the test script fails with:

```
rm: cannot remove '/tmp/python-build/working/logs/train_log/events.out.tfevents.1614297217.localhost': Permission denied
...
```

Because your user don't have the permissions to delete these files.

Updating the `test` script to delete these files inside the a docker
container to circumvent this problem.
---
 test | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/test b/test
index 568df4c9..3f903744 100755
--- a/test
+++ b/test
@@ -69,7 +69,8 @@ readonly ADDITONAL_OPTS
 readonly PATTERN
 
 set -x
-rm -rf /tmp/python-build
+docker run --rm --net=none -v /tmp/python-build:/tmp/python-build "$IMAGE_TAG" rm -rf /tmp/python-build/*
+
 docker rm jupyter_test || true
 mkdir -p /tmp/python-build/tmp
 mkdir -p /tmp/python-build/devshm

From 662ec7e214d19b99e21a947036e5458d4caccf19 Mon Sep 17 00:00:00 2001
From: Bovard Doerschuk-Tiberi <bovard@google.com>
Date: Fri, 26 Feb 2021 17:18:26 +0000
Subject: [PATCH 1091/1660] Upgrade bigquery verison to 2.2.0 for aiplatform

---
 Dockerfile                        |  5 +---
 patches/kaggle_gcp.py             |  9 +++----
 tests/test_bigquery.py            | 41 +++++++++++--------------------
 tests/test_tensorflow_bigquery.py | 14 +++++++++++
 4 files changed, 33 insertions(+), 36 deletions(-)
 create mode 100644 tests/test_tensorflow_bigquery.py

diff --git a/Dockerfile b/Dockerfile
index f7080c5b..56be59ce 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -267,10 +267,7 @@ RUN pip install --upgrade cython && \
     pip install category_encoders && \
     # google-cloud-automl 2.0.0 introduced incompatible API changes, need to pin to 1.0.1
     pip install google-cloud-automl==1.0.1 && \
-    # Newer version crashes (latest = 1.14.0) when running tensorflow.
-    # python -c "from google.cloud import bigquery; import tensorflow". This flow is common because bigquery is imported in kaggle_gcp.py
-    # which is loaded at startup.
-    pip install google-cloud-bigquery==1.12.1 && \
+    pip install google-cloud-bigquery==2.2.0 && \
     pip install google-cloud-storage && \
     pip install google-cloud-translate==3.* && \
     pip install google-cloud-language==2.* && \
diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index ced3555a..d489e831 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -88,10 +88,8 @@ def __init__(self, parentCredential=None, quota_project_id=None):
 class _DataProxyConnection(Connection):
     """Custom Connection class used to proxy the BigQuery client to Kaggle's data proxy."""
 
-    API_BASE_URL = os.getenv("KAGGLE_DATA_PROXY_URL")
-
-    def __init__(self, client):
-        super().__init__(client)
+    def __init__(self, client, **kwargs):
+        super().__init__(client, **kwargs)
         self.extra_headers["X-KAGGLE-PROXY-DATA"] = os.getenv(
             "KAGGLE_DATA_PROXY_TOKEN")
 
@@ -117,13 +115,14 @@ class PublicBigqueryClient(bigquery.client.Client):
 
     def __init__(self, *args, **kwargs):
         data_proxy_project = os.getenv("KAGGLE_DATA_PROXY_PROJECT")
+        default_api_endpoint = os.getenv("KAGGLE_DATA_PROXY_URL")
         anon_credentials = credentials.AnonymousCredentials()
         anon_credentials.refresh = lambda *args: None
         super().__init__(
             project=data_proxy_project, credentials=anon_credentials, *args, **kwargs
         )
         # TODO: Remove this once https://github.com/googleapis/google-cloud-python/issues/7122 is implemented.
-        self._connection = _DataProxyConnection(self)
+        self._connection = _DataProxyConnection(self, api_endpoint=default_api_endpoint)
 
 def has_been_monkeypatched(method):
     return "kaggle_gcp" in inspect.getsourcefile(method)
diff --git a/tests/test_bigquery.py b/tests/test_bigquery.py
index 4b152b78..cf50da25 100644
--- a/tests/test_bigquery.py
+++ b/tests/test_bigquery.py
@@ -14,7 +14,6 @@
 from kaggle_gcp import KaggleKernelCredentials, PublicBigqueryClient, _DataProxyConnection, init_bigquery
 import kaggle_secrets
 
-
 class TestBigQuery(unittest.TestCase):
 
     API_BASE_URL = "http://127.0.0.1:2121"
@@ -59,75 +58,63 @@ def do_GET(self):
     def _setup_mocks(self, api_url_mock):
         api_url_mock.__str__.return_value = self.API_BASE_URL
 
-    @patch.object(Connection, 'API_BASE_URL')
     @patch.object(kaggle_secrets.UserSecretsClient, 'get_bigquery_access_token', return_value=('secret',1000))
-    def test_project_with_connected_account(self, mock_access_token, ApiUrlMock):
-        self._setup_mocks(ApiUrlMock)
+    def test_project_with_connected_account(self, mock_access_token):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         with env:
             client = bigquery.Client(
-                project='ANOTHER_PROJECT', credentials=KaggleKernelCredentials())
+                project='ANOTHER_PROJECT', credentials=KaggleKernelCredentials(), client_options={"api_endpoint": TestBigQuery.API_BASE_URL})
             self._test_integration(client)
 
-    @patch.object(Connection, 'API_BASE_URL')
     @patch.object(kaggle_secrets.UserSecretsClient, 'get_bigquery_access_token', return_value=('secret',1000))
-    def test_project_with_empty_integrations(self, mock_access_token, ApiUrlMock):
-        self._setup_mocks(ApiUrlMock)
+    def test_project_with_empty_integrations(self, mock_access_token):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         env.set('KAGGLE_KERNEL_INTEGRATIONS', '')
         with env:
             client = bigquery.Client(
-                project='ANOTHER_PROJECT', credentials=KaggleKernelCredentials())
+                project='ANOTHER_PROJECT', credentials=KaggleKernelCredentials(), client_options={"api_endpoint": TestBigQuery.API_BASE_URL})
             self._test_integration(client)
 
-    @patch.object(Connection, 'API_BASE_URL')
     @patch.object(kaggle_secrets.UserSecretsClient, 'get_bigquery_access_token', return_value=('secret',1000))
-    def test_project_with_connected_account_unrelated_integrations(self, mock_access_token, ApiUrlMock):
-        self._setup_mocks(ApiUrlMock)
+    def test_project_with_connected_account_unrelated_integrations(self, mock_access_token):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         env.set('KAGGLE_KERNEL_INTEGRATIONS', 'GCS:ANOTHER_ONE')
         with env:
             client = bigquery.Client(
-                project='ANOTHER_PROJECT', credentials=KaggleKernelCredentials())
+                project='ANOTHER_PROJECT', credentials=KaggleKernelCredentials(), client_options={"api_endpoint": TestBigQuery.API_BASE_URL})
             self._test_integration(client)
 
-    @patch.object(Connection, 'API_BASE_URL')
     @patch.object(kaggle_secrets.UserSecretsClient, 'get_bigquery_access_token', return_value=('secret',1000))
-    def test_project_with_connected_account_default_credentials(self, mock_access_token, ApiUrlMock):
-        self._setup_mocks(ApiUrlMock)
+    def test_project_with_connected_account_default_credentials(self, mock_access_token):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         env.set('KAGGLE_KERNEL_INTEGRATIONS', 'BIGQUERY')
         with env:
-            client = bigquery.Client(project='ANOTHER_PROJECT')
+            client = bigquery.Client(project='ANOTHER_PROJECT', client_options={"api_endpoint": TestBigQuery.API_BASE_URL})
             self.assertTrue(client._connection.user_agent.startswith("kaggle-gcp-client/1.0"))
             self._test_integration(client)
 
-    @patch.object(Connection, 'API_BASE_URL')
     @patch.object(kaggle_secrets.UserSecretsClient, 'get_bigquery_access_token', return_value=('secret',1000))
-    def test_project_with_env_var_project_default_credentials(self, mock_access_token, ApiUrlMock):
-        self._setup_mocks(ApiUrlMock)
+    def test_project_with_env_var_project_default_credentials(self, mock_access_token):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         env.set('KAGGLE_KERNEL_INTEGRATIONS', 'BIGQUERY')
         env.set('GOOGLE_CLOUD_PROJECT', 'ANOTHER_PROJECT')
         with env:
-            client = bigquery.Client()
+            client = bigquery.Client(client_options={"api_endpoint": TestBigQuery.API_BASE_URL})
             self._test_integration(client)
 
-    @patch.object(Connection, 'API_BASE_URL')
     @patch.object(kaggle_secrets.UserSecretsClient, 'get_bigquery_access_token', return_value=('secret',1000))
-    def test_simultaneous_clients(self, mock_access_token, ApiUrlMock):
-        self._setup_mocks(ApiUrlMock)
+    def test_simultaneous_clients(self, mock_access_token):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         with env:
-            proxy_client = bigquery.Client()
+            proxy_client = bigquery.Client(client_options={"api_endpoint": TestBigQuery.API_BASE_URL})
             bq_client = bigquery.Client(
-                project='ANOTHER_PROJECT', credentials=KaggleKernelCredentials())
+                project='ANOTHER_PROJECT', credentials=KaggleKernelCredentials(), client_options={"api_endpoint": TestBigQuery.API_BASE_URL})
             self._test_integration(bq_client)
             # Verify that proxy client is still going to proxy to ensure global Connection
             # isn't being modified.
@@ -142,7 +129,7 @@ def test_no_project_with_connected_account(self):
             with self.assertRaises(DefaultCredentialsError):
                 # TODO(vimota): Handle this case, either default to Kaggle Proxy or use some default project
                 # by the user or throw a custom exception.
-                client = bigquery.Client()
+                client = bigquery.Client(client_options={"api_endpoint": TestBigQuery.API_BASE_URL})
                 self._test_integration(client)
 
     def test_magics_with_connected_account_default_credentials(self):
diff --git a/tests/test_tensorflow_bigquery.py b/tests/test_tensorflow_bigquery.py
new file mode 100644
index 00000000..1d903970
--- /dev/null
+++ b/tests/test_tensorflow_bigquery.py
@@ -0,0 +1,14 @@
+import unittest
+
+from google.cloud import bigquery
+import tensorflow as tf
+
+
+class TestTensorflowBigQuery(unittest.TestCase):
+
+    # Some versions of bigquery crashed tensorflow, add this test to make sure that doesn't happen.
+    # python -c "from google.cloud import bigquery; import tensorflow". This flow is common because bigquery is imported in kaggle_gcp.py
+    # which is loaded at startup.
+    def test_addition(self):        
+        result = tf.add([1, 2], [3, 4])
+        self.assertEqual([2], result.shape)

From d4c5a865d0aeb70fae43e11300351974325b9b07 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 1 Mar 2021 15:28:18 -0800
Subject: [PATCH 1092/1660] Remove tensorforce package. (#965)

Last usage in our platform was in October 2020.
In the past year, we have seen 14 notebooks using it only.

User wanting to use this package should use `!pip install tensorforce`
into their own kernel.

TensorForce 0.6.2 has dependencies on tensorflow==2.3.1 and
numpy==1.18.5 which is incompatible with our environment. We don't want
to constrain new release of TensorFlow for a package that is barely
being used. Hence, the reason for dropping it from our base image.

http://b/181584341
---
 Dockerfile                |  2 --
 tests/test_tensorforce.py | 30 ------------------------------
 2 files changed, 32 deletions(-)
 delete mode 100644 tests/test_tensorforce.py

diff --git a/Dockerfile b/Dockerfile
index 56be59ce..e2dc84cc 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -372,8 +372,6 @@ RUN pip install flashtext && \
     pip install shap && \
     pip install ray && \
     pip install gym && \
-    # b/167268016 tensorforce 0.6.6 has an explicit dependency on tensorflow 2.3.1 which is causing a downgrade.
-    pip install tensorforce==0.5.5 && \
     pip install pyarabic && \
     pip install pandasql && \
     pip install tensorflow_hub && \
diff --git a/tests/test_tensorforce.py b/tests/test_tensorforce.py
deleted file mode 100644
index a468b27c..00000000
--- a/tests/test_tensorforce.py
+++ /dev/null
@@ -1,30 +0,0 @@
-import unittest
-
-from tensorforce import Agent, Environment
-
-class TestTensorforce(unittest.TestCase):
-    # based on https://github.com/tensorforce/tensorforce/tree/master#quickstart-example-code.
-    def test_quickstart(self):
-        environment = Environment.create(
-            environment='gym', level='CartPole', max_episode_timesteps=500
-        )
-
-        agent = Agent.create(
-            agent='tensorforce',
-            environment=environment,  # alternatively: states, actions, (max_episode_timesteps)
-            memory=1000,
-            update=dict(unit='timesteps', batch_size=32),
-            optimizer=dict(type='adam', learning_rate=3e-4),
-            policy=dict(network='auto'),
-            objective='policy_gradient',
-            reward_estimation=dict(horizon=1)
-        )
-
-        # Train for a single episode.
-        states = environment.reset()
-        actions = agent.act(states=states)
-        states, terminal, reward = environment.execute(actions=actions)
-
-        self.assertEqual(4, len(states))
-        self.assertFalse(terminal)
-        self.assertEqual(1, reward)

From d31a27fa2040522b7bed965e34edcdd1e4f59aa4 Mon Sep 17 00:00:00 2001
From: Bovard Doerschuk-Tiberi <bovard@google.com>
Date: Tue, 16 Feb 2021 23:26:11 +0000
Subject: [PATCH 1093/1660] Add integrations for ucaip

Allow users to use all the aiplatform services
---
 Dockerfile            |  2 ++
 patches/kaggle_gcp.py | 34 ++++++++++++++++++++++++++++++++++
 test                  |  1 -
 tests/test_ucaip.py   | 24 ++++++++++++++++++++++++
 4 files changed, 60 insertions(+), 1 deletion(-)
 create mode 100644 tests/test_ucaip.py

diff --git a/Dockerfile b/Dockerfile
index e2dc84cc..1f1a9122 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -273,6 +273,8 @@ RUN pip install --upgrade cython && \
     pip install google-cloud-language==2.* && \
     pip install google-cloud-videointelligence==2.* && \
     pip install google-cloud-vision==2.* && \
+    # After launch this should be installed from pip
+    pip install git+https://github.com/googleapis/python-aiplatform.git@mb-release && \ 
     pip install ortools && \
     pip install scattertext && \
     # Pandas data reader
diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index d489e831..07179fa9 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -187,6 +187,23 @@ def monkeypatch_bq(bq_client, *args, **kwargs):
             bq_client, *args, **kwargs)
     return bigquery
 
+# Monkey patch classes that use the init method
+# eg
+# from google.cloud import aiplatform
+# aiplatform.init(args)
+def monkeypatch_init(client_klass, kaggle_kernel_credentials):
+    client_init = client_klass.init
+    def patched_init(self, *args, **kwargs):
+        specified_credentials = kwargs.get('credentials')
+        if specified_credentials is None:
+            Log.info("No credentials specified, using KaggleKernelCredentials.")
+            kwargs['credentials'] = kaggle_kernel_credentials
+            return client_init(self, *args, **kwargs)
+
+    if (not has_been_monkeypatched(client_klass.init)):
+        client_klass.init = patched_init
+        Log.info(f"Client patched: {client_klass}")
+
 def monkeypatch_client(client_klass, kaggle_kernel_credentials):
     client_init = client_klass.__init__
     def patched_init(self, *args, **kwargs):
@@ -309,6 +326,22 @@ def init_natural_language():
     monkeypatch_client(language.LanguageServiceAsyncClient, kernel_credentials)
     return language
 
+def init_ucaip():
+    from google.cloud import aiplatform
+    if not is_user_secrets_token_set():
+        return
+
+    from kaggle_gcp import get_integrations
+    if not get_integrations().has_cloudai():
+        return
+
+    from kaggle_secrets import GcpTarget
+    from kaggle_gcp import KaggleKernelCredentials
+    kaggle_kernel_credentials = KaggleKernelCredentials(target=GcpTarget.CLOUDAI)
+
+    # Patch the ucaip init method, this flows down to all ucaip services
+    monkeypatch_init(aiplatform.initializer.global_config, kaggle_kernel_credentials)
+
 def init_video_intelligence():
     from google.cloud import videointelligence
     if not is_user_secrets_token_set():
@@ -352,6 +385,7 @@ def init():
     init_natural_language()
     init_video_intelligence()
     init_vision()
+    init_ucaip()
 
 # We need to initialize the monkeypatching of the client libraries
 # here since there is a circular dependency between our import hook version
diff --git a/test b/test
index 3f903744..e43387b9 100755
--- a/test
+++ b/test
@@ -70,7 +70,6 @@ readonly PATTERN
 
 set -x
 docker run --rm --net=none -v /tmp/python-build:/tmp/python-build "$IMAGE_TAG" rm -rf /tmp/python-build/*
-
 docker rm jupyter_test || true
 mkdir -p /tmp/python-build/tmp
 mkdir -p /tmp/python-build/devshm
diff --git a/tests/test_ucaip.py b/tests/test_ucaip.py
new file mode 100644
index 00000000..2919bdba
--- /dev/null
+++ b/tests/test_ucaip.py
@@ -0,0 +1,24 @@
+import unittest
+
+from unittest.mock import Mock
+
+from kaggle_gcp import KaggleKernelCredentials, init_ucaip
+from test.support import EnvironmentVarGuard
+
+def _make_credentials():
+    import google.auth.credentials
+    return Mock(spec=google.auth.credentials.Credentials)
+
+class TestUcaip(unittest.TestCase):
+
+    def test_user_provided_credentials(self):
+        credentials = _make_credentials()
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
+        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
+        with env:
+            from google.cloud import aiplatform
+            init_ucaip()
+            aiplatform.init(credentials=credentials)
+            self.assertNotIsInstance(aiplatform.initializer.global_config.credentials, KaggleKernelCredentials)
+            self.assertIsNotNone(aiplatform.initializer.global_config.credentials)
\ No newline at end of file

From 25beb81c430590024a04b95e388c2775808ee100 Mon Sep 17 00:00:00 2001
From: Bovard Doerschuk-Tiberi <bovard@google.com>
Date: Mon, 1 Mar 2021 23:33:17 +0000
Subject: [PATCH 1094/1660] Added more bq-tf tests

---
 tests/test_tensorflow_bigquery.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/tests/test_tensorflow_bigquery.py b/tests/test_tensorflow_bigquery.py
index 1d903970..99659496 100644
--- a/tests/test_tensorflow_bigquery.py
+++ b/tests/test_tensorflow_bigquery.py
@@ -9,6 +9,7 @@ class TestTensorflowBigQuery(unittest.TestCase):
     # Some versions of bigquery crashed tensorflow, add this test to make sure that doesn't happen.
     # python -c "from google.cloud import bigquery; import tensorflow". This flow is common because bigquery is imported in kaggle_gcp.py
     # which is loaded at startup.
-    def test_addition(self):        
+    def test_matrix_addition(self):
         result = tf.add([1, 2], [3, 4])
         self.assertEqual([2], result.shape)
+        self.assertListEqual([4, 6], [x for x in result.numpy()])
\ No newline at end of file

From 8bf4913a3ff742106c2b5f25ecd126ea48d11259 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 11 Mar 2021 09:04:27 -0800
Subject: [PATCH 1095/1660] Upgrade base image to m64. (#969)

- Pin pyproj since 3.x is not compatible with latest version of basemap
yet.
- Improved the basemap test.

http://b/182405233
---
 Dockerfile                | 7 ++++---
 tensorflow-whl/Dockerfile | 2 +-
 tests/test_matplotlib.py  | 4 ++--
 3 files changed, 7 insertions(+), 6 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 1f1a9122..df762f58 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,4 +1,4 @@
-ARG BASE_TAG=m61
+ARG BASE_TAG=m64
 ARG TENSORFLOW_VERSION=2.4.1
 
 FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37 as tensorflow_whl
@@ -39,8 +39,9 @@ RUN conda config --add channels conda-forge && \
     conda config --add channels pytorch && \
     conda config --add channels rapidsai && \
     # ^ rapidsai is the highest priority channel, default lowest, conda-forge 2nd lowest.
-    # 161473620#comment7 pin required to prevent resolver from picking pysal 1.x., pysal 2.2.x is also downloading data on import.
-    conda install matplotlib basemap cartopy python-igraph imagemagick "pysal==2.1.0" && \
+    # b/182405233 pyproj 3.x is not compatible with basemap 1.2.1
+    # b/161473620#comment7 pin required to prevent resolver from picking pysal 1.x., pysal 2.2.x is also downloading data on import.
+    conda install matplotlib basemap cartopy python-igraph imagemagick "pyproj=2.6" "pysal==2.1.0" && \
     conda install "pytorch=1.7" "torchvision=0.8" "torchaudio=0.7" "torchtext=0.8" cpuonly && \
     /tmp/clean-layer.sh
 
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index ad159e87..d2ff3de4 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -1,5 +1,5 @@
 FROM nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04 AS nvidia
-FROM gcr.io/deeplearning-platform-release/base-cpu:m61
+FROM gcr.io/deeplearning-platform-release/base-cpu:m64
 
 # Avoid interactive configuration prompts/dialogs during apt-get.
 ENV DEBIAN_FRONTEND=noninteractive
diff --git a/tests/test_matplotlib.py b/tests/test_matplotlib.py
index 4b2605ec..b20b45d0 100644
--- a/tests/test_matplotlib.py
+++ b/tests/test_matplotlib.py
@@ -14,5 +14,5 @@ def test_plot(self):
         self.assertTrue(os.path.isfile("plot1.png"))
 
     def test_basemap(self):
-        Basemap(width=100,height=100,projection='aeqd',
-                lat_0=40,lon_0=-105)
+        m = Basemap(width=100,height=100,projection='aeqd', lat_0=40,lon_0=-105)
+        self.assertEqual(0, m.xmin)

From ba831d37d6bf91cab63d99a43c36493428ac977a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 12 Mar 2021 19:03:54 -0800
Subject: [PATCH 1096/1660] Install openssh-client (#971)

In #967, I upgraded the base image from `m61` to `m64`.

The new  `m64` base image doesn't include a SSH client anymore.

This was causing issues with a learn course relying on `stable-baselines`. This package isn't included in our base image but is installed at runtime.
---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index df762f58..97a68077 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -22,6 +22,8 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     # https://lightgbm.readthedocs.io/en/latest/GPU-Tutorial.html#build-lightgbm
     apt-get install -y build-essential unzip cmake && \
     apt-get install -y libboost-dev libboost-program-options-dev libboost-system-dev libboost-thread-dev libboost-math-dev libboost-test-dev libboost-python-dev libboost-filesystem-dev zlib1g-dev && \
+    # b/182601974: ssh client was removed from the base image but is required for packages such as stable-baselines.
+    apt-get install -y openssh-client && \
     pip install --upgrade pip && \
     /tmp/clean-layer.sh
 

From b5bb7e9116df1e2d28afb0a3e84ff06214d4e650 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 16 Mar 2021 13:34:23 -0700
Subject: [PATCH 1097/1660] Fix catalyst test. (#973)

* Fix catalyst test.

Catalyst 21.x was released on 3/13. We were using 20.x. This release
included a breaking change for the CheckpointCallback class which
required updating our test.

http://b/182904788

* Relax nnabla addition check
---
 tests/test_catalyst.py | 8 ++++----
 tests/test_nnabla.py   | 2 +-
 2 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/tests/test_catalyst.py b/tests/test_catalyst.py
index 18d9a767..48b2934b 100644
--- a/tests/test_catalyst.py
+++ b/tests/test_catalyst.py
@@ -141,10 +141,10 @@ def test_mnist(self):
             logdir=logdir,
             num_epochs=num_epochs,
             verbose=False,
-            callbacks=[CheckpointCallback(save_n_best=3)]
+            callbacks=[CheckpointCallback(save_n_best=3, use_runner_logdir=True)]
         )
         
-        with open('./logs/checkpoints/_metrics.json') as f:
+        with open('./logs/_metrics.json') as f:
             metrics = json.load(f)
-            self.assertTrue(metrics['train.3']['loss'] < metrics['train.1']['loss'])
-            self.assertTrue(metrics['best']['loss'] < 0.35)
+            self.assertTrue(metrics['train.3']['valid']['loss'] < metrics['train.1']['valid']['loss'])
+            self.assertTrue(metrics['best']['valid']['loss'] < 0.35)
diff --git a/tests/test_nnabla.py b/tests/test_nnabla.py
index d3f3876d..ffb37fa4 100644
--- a/tests/test_nnabla.py
+++ b/tests/test_nnabla.py
@@ -20,7 +20,7 @@ def test_addition(self):
         # forward
         c.forward()
 
-        self.assertAlmostEqual(c.d, a.d + b.d)
+        self.assertAlmostEqual(c.d, a.d + b.d, places=3)
 
     @gpu_test
     def test_cuda_ext(self):

From 60c5cb247f94b02997c136a714bcd5710881cc6e Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Thu, 18 Mar 2021 12:09:03 -0400
Subject: [PATCH 1098/1660] Easyocr (#972)

http://b/182904500
---
 Dockerfile             |  12 ++++++++++++
 tests/data/english.png | Bin 0 -> 1740957 bytes
 tests/test_easyocr.py  |  15 +++++++++++++++
 3 files changed, 27 insertions(+)
 create mode 100644 tests/data/english.png
 create mode 100644 tests/test_easyocr.py

diff --git a/Dockerfile b/Dockerfile
index 97a68077..71fd336a 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -421,6 +421,18 @@ RUN pip install flashtext && \
     pip install flask && \
     # pycrypto is used by competitions team.
     pip install pycrypto && \
+    pip install easyocr && \
+    /tmp/clean-layer.sh
+
+# Download base easyocr models.
+# https://github.com/JaidedAI/EasyOCR#usage
+RUN mkdir -p /root/.EasyOCR/model && \
+    wget --no-verbose "https://github.com/JaidedAI/EasyOCR/releases/download/pre-v1.1.6/latin.zip" -O /root/.EasyOCR/model/latin.zip && \
+    unzip /root/.EasyOCR/model/latin.zip -d /root/.EasyOCR/model/ && \
+    rm /root/.EasyOCR/model/latin.zip && \
+    wget --no-verbose "https://github.com/JaidedAI/EasyOCR/releases/download/pre-v1.1.6/craft_mlt_25k.zip" -O /root/.EasyOCR/model/craft_mlt_25k.zip && \
+    unzip /root/.EasyOCR/model/craft_mlt_25k.zip -d /root/.EasyOCR/model/ && \
+    rm /root/.EasyOCR/model/craft_mlt_25k.zip && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages
diff --git a/tests/data/english.png b/tests/data/english.png
new file mode 100644
index 0000000000000000000000000000000000000000..f56608592b6ac4ba65e83012e27e39e36331ce00
GIT binary patch
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HcmV?d00001

diff --git a/tests/test_easyocr.py b/tests/test_easyocr.py
new file mode 100644
index 00000000..6a1b266e
--- /dev/null
+++ b/tests/test_easyocr.py
@@ -0,0 +1,15 @@
+import unittest
+
+import easyocr
+
+class TestEasyOCR(unittest.TestCase):
+    def test_readtext(self):
+        # The model_storage_directory is only need in tests where we overwrite HOME=/tmp
+        reader = easyocr.Reader(['en'], gpu=False, model_storage_directory='/root/.EasyOCR/model')
+        result = reader.readtext('/input/tests/data/english.png', detail = 0)
+        # ['Reduce your risk of coronavirus infection:', 'Clean hands with soap and water', 
+        # 'or alcohol based hand rub', 'Cover nose and mouth when coughing and', 
+        # 'sneezing with tissue or flexed elbow', 'Avoid close contact with anyone with', 
+        # 'cold or flu like symptoms', 'Thoroughly cook meat and eggs', 
+        # 'No unprotected contact with live wild', 'or farm animals', 'World Health', 'Organization']
+        self.assertEqual(len(result), 12)

From d9ccd5f8983650d38443ce8011c1eb6f50b6b4c5 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Mon, 22 Mar 2021 16:25:24 -0400
Subject: [PATCH 1099/1660] Upgrade easyocr models to v2 (#975)

http://b/182904500
---
 Dockerfile | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 71fd336a..97324f52 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -427,9 +427,12 @@ RUN pip install flashtext && \
 # Download base easyocr models.
 # https://github.com/JaidedAI/EasyOCR#usage
 RUN mkdir -p /root/.EasyOCR/model && \
-    wget --no-verbose "https://github.com/JaidedAI/EasyOCR/releases/download/pre-v1.1.6/latin.zip" -O /root/.EasyOCR/model/latin.zip && \
+    wget --no-verbose "https://github.com/JaidedAI/EasyOCR/releases/download/v1.3/latin_g2.zip" -O /root/.EasyOCR/model/latin.zip && \
     unzip /root/.EasyOCR/model/latin.zip -d /root/.EasyOCR/model/ && \
     rm /root/.EasyOCR/model/latin.zip && \
+    wget --no-verbose "https://github.com/JaidedAI/EasyOCR/releases/download/v1.3/english_g2.zip" -O /root/.EasyOCR/model/english.zip && \
+    unzip /root/.EasyOCR/model/english.zip -d /root/.EasyOCR/model/ && \
+    rm /root/.EasyOCR/model/english.zip && \
     wget --no-verbose "https://github.com/JaidedAI/EasyOCR/releases/download/pre-v1.1.6/craft_mlt_25k.zip" -O /root/.EasyOCR/model/craft_mlt_25k.zip && \
     unzip /root/.EasyOCR/model/craft_mlt_25k.zip -d /root/.EasyOCR/model/ && \
     rm /root/.EasyOCR/model/craft_mlt_25k.zip && \

From 451c6658308fef5c11ad663855295e316ad78845 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 25 Mar 2021 15:39:46 -0700
Subject: [PATCH 1100/1660] Uninstall google-cloud-bigquery-storage library.
 (#977)

This library is part of our base image (deeplearning-platform-release)
but not other libraries depend on it.

Removing this library ensures the bigquery library fall backs on using
regular BQ queries to fetch data.

The BigQuery storage APIs are not supported by our data proxy and we
don't monkey patch this client.

This change simply revert to the behavior we had with BQ 1.x libraries.

http://b/183041606
---
 Dockerfile                     | 2 ++
 tests/test_bigquery_storage.py | 9 +++++++++
 2 files changed, 11 insertions(+)
 create mode 100644 tests/test_bigquery_storage.py

diff --git a/Dockerfile b/Dockerfile
index 97324f52..cd04f870 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -276,6 +276,8 @@ RUN pip install --upgrade cython && \
     pip install google-cloud-language==2.* && \
     pip install google-cloud-videointelligence==2.* && \
     pip install google-cloud-vision==2.* && \
+    # b/183041606#comment5: the Kaggle data proxy doesn't support these APIs. If the library is missing, it falls back to using a regular BigQuery query to fetch data.
+    pip uninstall -y google-cloud-bigquery-storage && \
     # After launch this should be installed from pip
     pip install git+https://github.com/googleapis/python-aiplatform.git@mb-release && \ 
     pip install ortools && \
diff --git a/tests/test_bigquery_storage.py b/tests/test_bigquery_storage.py
new file mode 100644
index 00000000..d96faa37
--- /dev/null
+++ b/tests/test_bigquery_storage.py
@@ -0,0 +1,9 @@
+import unittest
+
+class TestBigQueryStorage(unittest.TestCase):
+
+    def test_ensure_bq_storage_is_not_installed(self):
+        # b/183041606#comment5: Ensures bigquery_storage is not installed.
+        # bigquery falls back on using regular BQ queries which are supported by the BQ proxy.
+        with self.assertRaises(ImportError):
+            from google.cloud import bigquery_storage
\ No newline at end of file

From 2883af58bf32adf88bf0b9b5ddbd55f4521aa0af Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 29 Mar 2021 11:47:44 -0700
Subject: [PATCH 1101/1660] Pin pystan (#978)

pystan 3.x released on March 25th, 2021 is not compatible with
fbprophet and causing a build failure.

http://b/183944405
---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index cd04f870..9f804b16 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -188,7 +188,8 @@ RUN pip install mpld3 && \
     pip install pyldavis && \
     pip install mlxtend && \
     pip install altair && \
-    pip install pystan && \
+    # b/183944405 pystan 3.x is not compatible with fbprophet.
+    pip install pystan==2.19.1.1 && \
     pip install ImageHash && \
     pip install ecos && \
     pip install CVXcanon && \

From d2c91caf66ca30b7409a671d23142698f05ca574 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 2 Apr 2021 16:44:05 -0700
Subject: [PATCH 1102/1660] Upgrade DLVM base image (#980)

---
 Dockerfile                | 2 +-
 tensorflow-whl/Dockerfile | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 9f804b16..9a5e668e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,4 +1,4 @@
-ARG BASE_TAG=m64
+ARG BASE_TAG=m66
 ARG TENSORFLOW_VERSION=2.4.1
 
 FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37 as tensorflow_whl
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index d2ff3de4..923a8c2a 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -1,5 +1,5 @@
 FROM nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04 AS nvidia
-FROM gcr.io/deeplearning-platform-release/base-cpu:m64
+FROM gcr.io/deeplearning-platform-release/base-cpu:m66
 
 # Avoid interactive configuration prompts/dialogs during apt-get.
 ENV DEBIAN_FRONTEND=noninteractive

From 9c870aa985c100f467abc8d758307510de74e7d6 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 5 Apr 2021 09:17:25 -0700
Subject: [PATCH 1103/1660] Keep the pip version from the base image (#981)

* Keep the pip version from the base image

Currently latest == the one in m66.
Remove this to prevent unnecessary churn.

* Remove from tensorflow-whl/Dockerfile.
---
 Dockerfile                | 1 -
 tensorflow-whl/Dockerfile | 2 --
 2 files changed, 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 9a5e668e..2ec31272 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -24,7 +24,6 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     apt-get install -y libboost-dev libboost-program-options-dev libboost-system-dev libboost-thread-dev libboost-math-dev libboost-test-dev libboost-python-dev libboost-filesystem-dev zlib1g-dev && \
     # b/182601974: ssh client was removed from the base image but is required for packages such as stable-baselines.
     apt-get install -y openssh-client && \
-    pip install --upgrade pip && \
     /tmp/clean-layer.sh
 
 # Make sure the dynamic linker finds the right libstdc++
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 923a8c2a..335b5986 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -50,8 +50,6 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     ln -s /usr/local/cuda-$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION /usr/local/cuda && \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
 
-RUN pip install --upgrade pip
-
 # Use Bazelisk to ensure the proper bazel version is used.
 RUN cd /usr/local/src && \
     wget --no-verbose "https://github.com/bazelbuild/bazelisk/releases/download/v1.7.4/bazelisk-linux-amd64" && \

From 08723a439584b75b03846c874df770a9ef93af25 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 5 Apr 2021 11:42:12 -0700
Subject: [PATCH 1104/1660] Build CUDA 11 TensorFlow wheels (#982)

Starting with CUDA 11.0, toolkit components are versioned independently: https://docs.nvidia.com/cuda/archive/11.0/cuda-toolkit-release-notes/index.html#cuda-major-component-versions

http://b/175341540
---
 tensorflow-whl/CHANGELOG.md |  9 +++++----
 tensorflow-whl/Dockerfile   | 38 ++++++++++++++++++-------------------
 2 files changed, 23 insertions(+), 24 deletions(-)

diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
index a1a946e8..1dfad51e 100644
--- a/tensorflow-whl/CHANGELOG.md
+++ b/tensorflow-whl/CHANGELOG.md
@@ -1,7 +1,7 @@
 * `1.11.0-py36`: TensorFlow 1.11.0 wheels built with python 3.6
-* `1.12.0-py36`: TensorFlow 1.12.0 wheels with Cuda 9.2
-* `1.13.1-py36`: TensorFlow 1.13.1 wheels with Cuda 10.0
-* `1.13.1-py36-2`: TensorFlow 1.13.1 wheels with Cuda 10.0 and bump anaconda3 base image version to 5.3.0 
+* `1.12.0-py36`: TensorFlow 1.12.0 wheels with CUDA 9.2
+* `1.13.1-py36`: TensorFlow 1.13.1 wheels with CUDA 10.0
+* `1.13.1-py36-2`: TensorFlow 1.13.1 wheels with CUDA 10.0 and bump anaconda3 base image version to 5.3.0 
 * `1.13.1-py37`: TensorFlow 1.13.1 with Python 3.7.0 and bump anaconda3 base image version to 5.3.0 
 * `1.13.1-py37-2`: TensorFlow 1.13.1 with Python 3.7.3
 * `1.14.0-py36`: TensorFlow 1.14.0 with Python 3.6
@@ -22,4 +22,5 @@
 * `2.4.0-py37`: TensorFlow 2.4.0 & Python 3.7 & TFA 0.12
 * `2.4.0-py37-2`: TensorFlow 2.4.0 & m61 base image
 * `2.4.0-py37-3`: TensorFlow 2.4.0 & 7.0 CUDA compute capability
-* `2.4.1-py37`: TensorFlow 2.4.1 & TFA 0.12.1
\ No newline at end of file
+* `2.4.1-py37`: TensorFlow 2.4.1 & TFA 0.12.1
+* `2.4.1-py37-2`: TensorFlow 2.4.1 & CUDA 11.0
\ No newline at end of file
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 335b5986..e49314af 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -1,4 +1,4 @@
-FROM nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04 AS nvidia
+FROM nvidia/cuda:11.0-cudnn8-devel-ubuntu18.04 AS nvidia
 FROM gcr.io/deeplearning-platform-release/base-cpu:m66
 
 # Avoid interactive configuration prompts/dialogs during apt-get.
@@ -17,11 +17,9 @@ RUN sed -i 's/deb https:\/\/developer.download.nvidia.com/deb http:\/\/developer
 
 # Ensure the cuda libraries are compatible with the GPU image.
 # TODO(b/120050292): Use templating to keep in sync.
-ENV CUDA_MAJOR_VERSION=10
-ENV CUDA_MINOR_VERSION=2
-ENV CUDA_PATCH_VERSION=89
-ENV CUDA_VERSION=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION.$CUDA_PATCH_VERSION
-ENV CUDA_PKG_VERSION=$CUDA_MAJOR_VERSION-$CUDA_MINOR_VERSION=$CUDA_VERSION-1
+ENV CUDA_MAJOR_VERSION=11
+ENV CUDA_MINOR_VERSION=0
+ENV CUDA_VERSION=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION
 LABEL com.nvidia.volumes.needed="nvidia_driver"
 LABEL com.nvidia.cuda.version="${CUDA_VERSION}"
 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
@@ -35,19 +33,19 @@ ENV NVIDIA_VISIBLE_DEVICES=all
 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
 ENV NVIDIA_REQUIRE_CUDA="cuda>=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION"
 RUN apt-get update && apt-get install -y --no-install-recommends \
-      cuda-cupti-$CUDA_PKG_VERSION \
-      cuda-cudart-$CUDA_PKG_VERSION \
-      cuda-cudart-dev-$CUDA_PKG_VERSION \
-      cuda-libraries-$CUDA_PKG_VERSION \
-      cuda-libraries-dev-$CUDA_PKG_VERSION \
-      cuda-nvml-dev-$CUDA_PKG_VERSION \
-      cuda-minimal-build-$CUDA_PKG_VERSION \
-      cuda-command-line-tools-$CUDA_PKG_VERSION \
-      libcudnn7=7.6.5.32-1+cuda$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION \
-      libcudnn7-dev=7.6.5.32-1+cuda$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION \
-      libnccl2=2.5.6-1+cuda$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION \
-      libnccl-dev=2.5.6-1+cuda$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION && \
-    ln -s /usr/local/cuda-$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION /usr/local/cuda && \
+      cuda-cupti-$CUDA_VERSION \
+      cuda-cudart-$CUDA_VERSION \
+      cuda-cudart-dev-$CUDA_VERSION \
+      cuda-libraries-$CUDA_VERSION \
+      cuda-libraries-dev-$CUDA_VERSION \
+      cuda-nvml-dev-$CUDA_VERSION \
+      cuda-minimal-build-$CUDA_VERSION \
+      cuda-command-line-tools-$CUDA_VERSION \
+      libcudnn8=8.0.4.30-1+cuda$CUDA_VERSION \
+      libcudnn8-dev=8.0.4.30-1+cuda$CUDA_VERSION \
+      libnccl2=2.7.8-1+cuda$CUDA_VERSION \
+      libnccl-dev=2.7.8-1+cuda$CUDA_VERSION && \
+    ln -s /usr/local/cuda-$CUDA_VERSION /usr/local/cuda && \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
 
 # Use Bazelisk to ensure the proper bazel version is used.
@@ -99,7 +97,7 @@ ENV TF_NEED_CUDA=1
 ENV TF_CUDA_VERSION=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION
 # 3.7 (K80), 6.0 (P100), 7.0 (V100), 7.5 (T4): https://developer.nvidia.com/cuda-gpus
 ENV TF_CUDA_COMPUTE_CAPABILITIES=3.7,6.0,7.0,7.5
-ENV TF_CUDNN_VERSION=7
+ENV TF_CUDNN_VERSION=8
 ENV TF_NCCL_VERSION=2
 ENV NCCL_INSTALL_PATH=/usr/
 

From 05cbde66bb5b9650e64d537032cd64795ed682ef Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 5 Apr 2021 11:47:38 -0700
Subject: [PATCH 1105/1660] Upgrade to CUDA 11.0 (#985)

http://b/175341540
---
 Dockerfile     |  7 +++----
 gpu.Dockerfile | 45 +++++++++++++++++++++------------------------
 2 files changed, 24 insertions(+), 28 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 2ec31272..4f068218 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=m66
 ARG TENSORFLOW_VERSION=2.4.1
 
-FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37 as tensorflow_whl
+FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37-2 as tensorflow_whl
 FROM gcr.io/deeplearning-platform-release/base-cpu:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
@@ -81,7 +81,7 @@ RUN apt-get install -y libfreetype6-dev && \
     pip install wordcloud && \
     pip install xgboost && \
     # Pinned to match GPU version. Update version together.
-    pip install lightgbm==3.1.1 && \
+    pip install lightgbm==3.2.0 && \
     pip install pydot && \
     pip install keras && \
     pip install keras-tuner && \
@@ -406,8 +406,7 @@ RUN pip install flashtext && \
     pip install dlib && \
     pip install kaggle-environments && \
     pip install geopandas && \
-    # b/175638062 remove pin once we update to cuDNN 8.x
-    pip install nnabla==1.13.0 && \
+    pip install nnabla && \
     pip install vowpalwabbit && \
     # papermill can replace nbconvert for executing notebooks
     pip install papermill && \
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 4a945da4..01b448ce 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,7 +1,7 @@
 ARG BASE_TAG=staging
 
-FROM nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04 AS nvidia
-FROM gcr.io/kaggle-images/python-tensorflow-whl:2.4.1-py37 as tensorflow_whl
+FROM nvidia/cuda:11.0-cudnn8-devel-ubuntu18.04 AS nvidia
+FROM gcr.io/kaggle-images/python-tensorflow-whl:2.4.1-py37-2 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
@@ -15,11 +15,9 @@ RUN sed -i 's/deb https:\/\/developer.download.nvidia.com/deb http:\/\/developer
 
 # Ensure the cuda libraries are compatible with the custom Tensorflow wheels.
 # TODO(b/120050292): Use templating to keep in sync or COPY installed binaries from it.
-ENV CUDA_MAJOR_VERSION=10
-ENV CUDA_MINOR_VERSION=2
-ENV CUDA_PATCH_VERSION=89
-ENV CUDA_VERSION=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION.$CUDA_PATCH_VERSION
-ENV CUDA_PKG_VERSION=$CUDA_MAJOR_VERSION-$CUDA_MINOR_VERSION=$CUDA_VERSION-1
+ENV CUDA_MAJOR_VERSION=11
+ENV CUDA_MINOR_VERSION=0
+ENV CUDA_VERSION=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION
 LABEL com.nvidia.volumes.needed="nvidia_driver"
 LABEL com.nvidia.cuda.version="${CUDA_VERSION}"
 ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/bin:${PATH}
@@ -34,19 +32,19 @@ ENV NVIDIA_VISIBLE_DEVICES=all
 ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
 ENV NVIDIA_REQUIRE_CUDA="cuda>=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION"
 RUN apt-get update && apt-get install -y --no-install-recommends \
-      cuda-cupti-$CUDA_PKG_VERSION \
-      cuda-cudart-$CUDA_PKG_VERSION \
-      cuda-cudart-dev-$CUDA_PKG_VERSION \
-      cuda-libraries-$CUDA_PKG_VERSION \
-      cuda-libraries-dev-$CUDA_PKG_VERSION \
-      cuda-nvml-dev-$CUDA_PKG_VERSION \
-      cuda-minimal-build-$CUDA_PKG_VERSION \
-      cuda-command-line-tools-$CUDA_PKG_VERSION \
-      libcudnn7=7.6.5.32-1+cuda$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION \
-      libcudnn7-dev=7.6.5.32-1+cuda$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION \
-      libnccl2=2.5.6-1+cuda$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION \
-      libnccl-dev=2.5.6-1+cuda$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION && \
-    ln -s /usr/local/cuda-$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION /usr/local/cuda && \
+      cuda-cupti-$CUDA_VERSION \
+      cuda-cudart-$CUDA_VERSION \
+      cuda-cudart-dev-$CUDA_VERSION \
+      cuda-libraries-$CUDA_VERSION \
+      cuda-libraries-dev-$CUDA_VERSION \
+      cuda-nvml-dev-$CUDA_VERSION \
+      cuda-minimal-build-$CUDA_VERSION \
+      cuda-command-line-tools-$CUDA_VERSION \
+      libcudnn8=8.0.4.30-1+cuda$CUDA_VERSION \
+      libcudnn8-dev=8.0.4.30-1+cuda$CUDA_VERSION \
+      libnccl2=2.7.8-1+cuda$CUDA_VERSION \
+      libnccl-dev=2.7.8-1+cuda$CUDA_VERSION && \
+    ln -s /usr/local/cuda-$CUDA_VERSION /usr/local/cuda && \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 && \
     /tmp/clean-layer.sh
 
@@ -69,7 +67,7 @@ RUN pip uninstall -y lightgbm && \
     cd /usr/local/src && \
     git clone --recursive https://github.com/microsoft/LightGBM && \
     cd LightGBM && \
-    git checkout tags/v3.1.1 && \
+    git checkout tags/v3.2.0 && \
     mkdir build && cd build && \
     cmake -DUSE_GPU=1 -DOpenCL_LIBRARY=/usr/local/cuda/lib64/libOpenCL.so -DOpenCL_INCLUDE_DIR=/usr/local/cuda/include/ .. && \
     make -j$(nproc) && \
@@ -80,7 +78,7 @@ RUN pip uninstall -y lightgbm && \
     /tmp/clean-layer.sh
 
 # Install JAX
-RUN  pip install jax==0.2.6 jaxlib==0.1.57+cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION -f https://storage.googleapis.com/jax-releases/jax_releases.html && \
+RUN  pip install jax==0.2.12 jaxlib==0.1.64+cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION -f https://storage.googleapis.com/jax-releases/jax_releases.html && \
      /tmp/clean-layer.sh
 
 # Reinstall packages with a separate version for GPU support.
@@ -102,8 +100,7 @@ RUN pip install /tmp/tfa_gpu/tensorflow*.whl && \
 RUN pip install pycuda && \
     pip install cupy-cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \
     pip install pynvrtc && \
-    # b/175638062 remove pin once we update to cuDNN 8.x
-    pip install nnabla-ext-cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION==1.13.0 && \
+    pip install nnabla-ext-cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \
     /tmp/clean-layer.sh
 
 # Re-add TensorBoard Jupyter extension patch

From bda8a17e6a232cab291536e753e03a3b9c965c95 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 7 Apr 2021 12:43:14 -0700
Subject: [PATCH 1106/1660] Pin nltk to 3.5 (#988)

`nltk` version 3.6 released earlier today includes a production
dependency on pytest. They are working on a hotfix:
https://github.com/nltk/nltk/pull/2693.

Pinning to 3.5 until the new version is out.

http://b/184748065
---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 4f068218..f5e4d0c2 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -77,6 +77,8 @@ RUN pip install /tmp/tfa_cpu/tensorflow*.whl && \
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
     pip install gensim && \
+    # b/184748065 remove pin to nltk once fix has been provided for the pytest production dependency.
+    pip install nltk==3.5 && \
     pip install textblob && \
     pip install wordcloud && \
     pip install xgboost && \

From 7ef361526187d12c2a8b926e892310be4e626443 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 7 Apr 2021 19:07:02 -0700
Subject: [PATCH 1107/1660] Revert "Pin nltk to 3.5 (#988)" (#990)

A new version of nltk with the hotfix was released an hour ago:
- https://pypi.org/project/nltk/#history
- https://github.com/nltk/nltk/pull/2693#issuecomment-815281396

This reverts commit bda8a17e6a232cab291536e753e03a3b9c965c95.
---
 Dockerfile | 2 --
 1 file changed, 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index f5e4d0c2..4f068218 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -77,8 +77,6 @@ RUN pip install /tmp/tfa_cpu/tensorflow*.whl && \
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
     pip install gensim && \
-    # b/184748065 remove pin to nltk once fix has been provided for the pytest production dependency.
-    pip install nltk==3.5 && \
     pip install textblob && \
     pip install wordcloud && \
     pip install xgboost && \

From 7fabccb3bdc99169e556ea04661136c6e263b4ba Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 9 Apr 2021 09:39:42 -0700
Subject: [PATCH 1108/1660] Pin importlib-metadata (#991)

3.9.0 is causing a major performance degradation with spacy 2.3.5

Full context: https://b.corp.google.com/issues/184685619#comment9

BUG=http://b/184685619
---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 4f068218..8ebbdc4b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -352,6 +352,8 @@ RUN pip install bleach && \
     pip install feather-format && \
     pip install fastai && \
     pip install allennlp && \
+    # https://b.corp.google.com/issues/184685619#comment9: 3.9.0 is causing a major performance degradation with spacy 2.3.5
+    pip install importlib-metadata==3.4.0 && \
     python -m spacy download en && python -m spacy download en_core_web_lg && \
     apt-get install -y ffmpeg && \
     /tmp/clean-layer.sh

From 752a79c710d4429fdd0cae230cace729cc93f004 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 9 Apr 2021 10:05:20 -0700
Subject: [PATCH 1109/1660] Remove pins for jupyter packages. (#989)

- Use simply the version from our DLVM base image.
- Removed the meta-package `jupyter`. It references packages already
installed.

This ensures we have the jupyter packages in sync with DLVM and ensures
compatibility with the Cloud AI Notebook environment.
---
 Dockerfile | 15 +++++----------
 1 file changed, 5 insertions(+), 10 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 8ebbdc4b..f7c15b99 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -302,17 +302,14 @@ RUN pip install bleach && \
     pip install decorator && \
     pip install entrypoints && \
     pip install html5lib && \
-    # Latest version breaks nbconvert: https://github.com/ipython/ipykernel/issues/422
-    pip install ipykernel==5.1.1 && \
+    pip install ipykernel && \
     pip install ipython && \
     pip install ipython-genutils && \
     pip install ipywidgets && \
     pip install isoweek && \
-    # Lastest version breaks ipython. https://github.com/ipython/ipython/issues/12740
-    pip install jedi==0.17.2 && \
+    pip install jedi && \
     pip install Jinja2 && \
     pip install jsonschema && \
-    pip install jupyter && \
     pip install jupyter-client && \
     pip install jupyter-console && \
     pip install jupyter-core && \
@@ -320,7 +317,8 @@ RUN pip install bleach && \
     pip install mistune && \
     pip install nbconvert && \
     pip install nbformat && \
-    pip install notebook==5.5.0 && \
+    pip install notebook && \
+    pip install papermill && \
     pip install olefile && \
     pip install kornia && \
     pip install pandas_summary && \
@@ -340,9 +338,7 @@ RUN pip install bleach && \
     pip install qtconsole && \
     pip install six && \
     pip install terminado && \
-    # Latest version (6.0) of tornado breaks Jupyter notebook:
-    # https://github.com/jupyter/notebook/issues/4439
-    pip install tornado==5.0.2 && \
+    pip install tornado && \
     pip install tqdm && \
     pip install traitlets && \
     pip install wcwidth && \
@@ -411,7 +407,6 @@ RUN pip install flashtext && \
     pip install nnabla && \
     pip install vowpalwabbit && \
     # papermill can replace nbconvert for executing notebooks
-    pip install papermill && \
     pip install cloud-tpu-client && \
     pip install tensorflow-cloud && \
     pip install tensorflow-datasets && \

From c79b569421898e1148b48fa731f3e9bc599885ca Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 9 Apr 2021 17:19:49 -0700
Subject: [PATCH 1110/1660] Add JAX to the CPU/TPU image. (#992)

Fixes #918

Before, we were installing JAX only on the GPU image.
Included tests to prevent regression.

http://b/177334844
---
 Dockerfile        |  2 ++
 gpu.Dockerfile    |  2 +-
 tests/test_jax.py | 12 ++++--------
 3 files changed, 7 insertions(+), 9 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index f7c15b99..db5b7d03 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -420,6 +420,8 @@ RUN pip install flashtext && \
     # pycrypto is used by competitions team.
     pip install pycrypto && \
     pip install easyocr && \
+    # Keep JAX version in sync with GPU image.
+    pip install jax==0.2.12 jaxlib==0.1.64 && \
     /tmp/clean-layer.sh
 
 # Download base easyocr models.
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 01b448ce..b40d0807 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -77,7 +77,7 @@ RUN pip uninstall -y lightgbm && \
     echo "libnvidia-opencl.so.1" > /etc/OpenCL/vendors/nvidia.icd && \
     /tmp/clean-layer.sh
 
-# Install JAX
+# Install JAX (Keep JAX version in sync with CPU image)
 RUN  pip install jax==0.2.12 jaxlib==0.1.64+cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION -f https://storage.googleapis.com/jax-releases/jax_releases.html && \
      /tmp/clean-layer.sh
 
diff --git a/tests/test_jax.py b/tests/test_jax.py
index 0a3c24ae..1847ceec 100644
--- a/tests/test_jax.py
+++ b/tests/test_jax.py
@@ -1,22 +1,18 @@
 import unittest
-
 import time
 
+import jax.numpy as np
+
 from common import gpu_test
+from jax import grad, jit
 
 
 class TestJAX(unittest.TestCase):
     def tanh(self, x):
-        import jax.numpy as np
         y = np.exp(-2.0 * x)
         return (1.0 - y) / (1.0 + y)
 
-    @gpu_test
-    def test_JAX(self):
-        # importing inside the gpu-only test because these packages can't be
-        # imported on the CPU image since they are not present there.
-        from jax import grad, jit
-
+    def test_grad(self):
         grad_tanh = grad(self.tanh)
         ag = grad_tanh(1.0)
         self.assertEqual(0.4199743, ag)

From 26452a997db0e04f8910b4057d48fda114dfb6fb Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 12 Apr 2021 12:14:21 -0400
Subject: [PATCH 1111/1660] install ipympl

Adds widget support for matplotlib

http://b/185060120
---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index db5b7d03..10f8667d 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -422,6 +422,8 @@ RUN pip install flashtext && \
     pip install easyocr && \
     # Keep JAX version in sync with GPU image.
     pip install jax==0.2.12 jaxlib==0.1.64 && \
+    # ipympl adds interactive widget support for matplotlib
+    pip install ipympl && \
     /tmp/clean-layer.sh
 
 # Download base easyocr models.

From 26c4dd84d81a8599e18a00afa65b3ccf12e6db21 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 12 Apr 2021 12:18:10 -0400
Subject: [PATCH 1112/1660] Pin ipympl

Version needs to match the version installed statically in the editor.
https://github.com/matplotlib/ipympl#install-an-old-jupyterlab-extension
---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 10f8667d..d00dd75c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -423,7 +423,7 @@ RUN pip install flashtext && \
     # Keep JAX version in sync with GPU image.
     pip install jax==0.2.12 jaxlib==0.1.64 && \
     # ipympl adds interactive widget support for matplotlib
-    pip install ipympl && \
+    pip install ipympl==0.7.0 && \
     /tmp/clean-layer.sh
 
 # Download base easyocr models.

From 209e728f55215660ef7862c16ec24922d8fa413e Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 16 Apr 2021 13:35:52 -0700
Subject: [PATCH 1113/1660] Unpin wand (#1003)

Latest version of `wand` is compatible with latest version of tesseract
---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index d00dd75c..1483b519 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -443,7 +443,7 @@ RUN mkdir -p /root/.EasyOCR/model && \
 # Tesseract and some associated utility packages
 RUN apt-get install tesseract-ocr -y && \
     pip install pytesseract && \
-    pip install wand==0.5.3 && \
+    pip install wand && \
     pip install pdf2image && \
     pip install PyPDF && \
     pip install pyocr && \

From 3d7dd66110e35a0c27fc7b6b8bc53310965e2061 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Wed, 21 Apr 2021 14:40:39 -0400
Subject: [PATCH 1114/1660] Install a pinned version of `onnx` (#1004)

http://b/185992410
---
 Dockerfile | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index 1483b519..21c8e975 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -386,6 +386,9 @@ RUN pip install flashtext && \
     pip install https://github.com/hbasria/ggpy/archive/0.11.5.zip && \
     pip install cesium && \
     pip install rgf_python && \
+    # b/185992410: onnx is a dependency of pytext, but the version 1.9.0 breaks pytext test.
+    # Remove this installation when pytext fixes the problem.
+    pip install onnx==1.8.1 && \
     # b/145404107: latest version force specific version of numpy and torch.
     pip install pytext-nlp==0.1.2 && \
     pip install tsfresh && \

From 8d00db02bc5c62cf2b4f1367dbef4f4bc0c89faa Mon Sep 17 00:00:00 2001
From: Manuel <mansanher@gmail.com>
Date: Wed, 28 Apr 2021 23:00:51 +0200
Subject: [PATCH 1115/1660] Adding pandarallel library (#1005)

* Adding pandarallel library

Pandarallel allows to execute pandas apply method in parallel, which allows to do data preprocessing faster and easier. This is very he;pful in kernel only competiotions.

See:

https://github.com/nalepae/pandarallel

* Adding test to pandarallel

Adding a simple test
---
 Dockerfile                |  1 +
 tests/test_pandarralel.py | 11 +++++++++++
 2 files changed, 12 insertions(+)
 create mode 100644 tests/test_pandarralel.py

diff --git a/Dockerfile b/Dockerfile
index 21c8e975..6bd15db6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -427,6 +427,7 @@ RUN pip install flashtext && \
     pip install jax==0.2.12 jaxlib==0.1.64 && \
     # ipympl adds interactive widget support for matplotlib
     pip install ipympl==0.7.0 && \
+    pip install pandarallel && \
     /tmp/clean-layer.sh
 
 # Download base easyocr models.
diff --git a/tests/test_pandarralel.py b/tests/test_pandarralel.py
new file mode 100644
index 00000000..fe74b0e1
--- /dev/null
+++ b/tests/test_pandarralel.py
@@ -0,0 +1,11 @@
+import unittest
+
+import pandas as pd
+from pandarallel import pandarallel
+
+pandarallel.initialize()
+
+class TestPandarallel(unittest.TestCase):    
+    def test_pandarallel(self):
+        data = pd.read_csv("/input/tests/data/train.csv")
+        data['label_converted'] = data['label'].parallel_apply(lambda x: x+1)

From 7f983e2cca1863d41631edaffddea7c6fab986ad Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 6 May 2021 12:13:41 -0700
Subject: [PATCH 1116/1660] Fix spacy test. (#1008)

spacy has been upgraded to 3.x (fastai had a 2.x requirement but now
support 3.x which upgraded spacy.)
---
 Dockerfile          | 2 +-
 tests/test_spacy.py | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 6bd15db6..066e6494 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -350,7 +350,7 @@ RUN pip install bleach && \
     pip install allennlp && \
     # https://b.corp.google.com/issues/184685619#comment9: 3.9.0 is causing a major performance degradation with spacy 2.3.5
     pip install importlib-metadata==3.4.0 && \
-    python -m spacy download en && python -m spacy download en_core_web_lg && \
+    python -m spacy download en_core_web_sm && python -m spacy download en_core_web_lg && \
     apt-get install -y ffmpeg && \
     /tmp/clean-layer.sh
 
diff --git a/tests/test_spacy.py b/tests/test_spacy.py
index bd58cc30..22a44c15 100644
--- a/tests/test_spacy.py
+++ b/tests/test_spacy.py
@@ -4,6 +4,6 @@
 
 class TestSpacy(unittest.TestCase):
     def test_model(self):
-        nlp = spacy.load('en')
+        nlp = spacy.load('en_core_web_sm')
         doc = nlp('This is a sentence.')
         self.assertEqual(5, len(doc))

From c287f51ffa498f0a49ed65193169fdcb8da31893 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 7 May 2021 10:17:06 -0700
Subject: [PATCH 1117/1660] Fix warning in openslide test (#1009)

```
ResourceWarning: unclosed file <_io.BufferedReader name='/input/tests/data/test.tif'>
  testMethod()
ResourceWarning: Enable tracemalloc to get the object allocation traceback
```
---
 tests/test_openslide.py | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/tests/test_openslide.py b/tests/test_openslide.py
index 6524ef40..f0d7c5b5 100644
--- a/tests/test_openslide.py
+++ b/tests/test_openslide.py
@@ -4,6 +4,5 @@
 
 class TestOpenslide(unittest.TestCase):
     def test_read_tif(self):
-        slide = open_slide('/input/tests/data/test.tif')
-        
-        self.assertEqual(1, slide.level_count)
+        with open_slide('/input/tests/data/test.tif') as slide:
+            self.assertEqual(1, slide.level_count)

From 8abf69a509f3e42dc791c243b3a7d81882a436bf Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Thu, 13 May 2021 14:47:23 -0400
Subject: [PATCH 1118/1660] Fix diff output (#1010)

http://b/178087631
---
 diff | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/diff b/diff
index cd0fc732..79b9b756 100755
--- a/diff
+++ b/diff
@@ -94,7 +94,7 @@ if [[ -n "$PACKAGE_NAME" ]]; then
     echo "Package: $PACKAGE_NAME"
     CMDS=("python /tools/pip_list_versions.py $PACKAGE_NAME | sort")
 else
-    CMDS=("pip freeze" 'cat /etc/os-release | grep -oP "PRETTY_NAME=\"\K([^\"]*)"' "uname -r" "dpkg --list | awk '{print \$2\"==\"\$3}'")
+    CMDS=("pip list --format=freeze" 'cat /etc/os-release | grep -oP "PRETTY_NAME=\"\K([^\"]*)"' "uname -r" "dpkg --list | awk '{print \$2\"==\"\$3}'")
 fi
 
 for cmd in "${CMDS[@]}"; do

From ef0e8b931537a6d3b5a0f820a2232d597d89a4ad Mon Sep 17 00:00:00 2001
From: Bovard Doerschuk-Tiberi <bovard@google.com>
Date: Fri, 21 May 2021 08:53:15 -0700
Subject: [PATCH 1119/1660] Fixed ucaip integration to work with latest code

---
 patches/kaggle_gcp.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index 07179fa9..466f17fc 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -198,7 +198,7 @@ def patched_init(self, *args, **kwargs):
         if specified_credentials is None:
             Log.info("No credentials specified, using KaggleKernelCredentials.")
             kwargs['credentials'] = kaggle_kernel_credentials
-            return client_init(self, *args, **kwargs)
+        return client_init(self, *args, **kwargs)
 
     if (not has_been_monkeypatched(client_klass.init)):
         client_klass.init = patched_init
@@ -340,7 +340,7 @@ def init_ucaip():
     kaggle_kernel_credentials = KaggleKernelCredentials(target=GcpTarget.CLOUDAI)
 
     # Patch the ucaip init method, this flows down to all ucaip services
-    monkeypatch_init(aiplatform.initializer.global_config, kaggle_kernel_credentials)
+    monkeypatch_init(aiplatform, kaggle_kernel_credentials)
 
 def init_video_intelligence():
     from google.cloud import videointelligence

From 16756501205ff2631d2cd4c1e19f3ae548646815 Mon Sep 17 00:00:00 2001
From: Bovard Doerschuk-Tiberi <bovard@google.com>
Date: Fri, 21 May 2021 08:57:55 -0700
Subject: [PATCH 1120/1660] Better comments and variable names

---
 patches/kaggle_gcp.py | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index 466f17fc..66181613 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -187,22 +187,22 @@ def monkeypatch_bq(bq_client, *args, **kwargs):
             bq_client, *args, **kwargs)
     return bigquery
 
-# Monkey patch classes that use the init method
+# Monkey patch for aiplatform init 
 # eg
 # from google.cloud import aiplatform
 # aiplatform.init(args)
-def monkeypatch_init(client_klass, kaggle_kernel_credentials):
-    client_init = client_klass.init
+def monkeypatch_aiploatform_init(aiplatform_klass, kaggle_kernel_credentials):
+    aiplatform_init = aiplatform_klass.init
     def patched_init(self, *args, **kwargs):
         specified_credentials = kwargs.get('credentials')
         if specified_credentials is None:
             Log.info("No credentials specified, using KaggleKernelCredentials.")
             kwargs['credentials'] = kaggle_kernel_credentials
-        return client_init(self, *args, **kwargs)
+        return aiplatform_init(self, *args, **kwargs)
 
-    if (not has_been_monkeypatched(client_klass.init)):
-        client_klass.init = patched_init
-        Log.info(f"Client patched: {client_klass}")
+    if (not has_been_monkeypatched(aiplatform_klass.init)):
+        aiplatform_klass.init = patched_init
+        Log.info("aiplatform.init patched")
 
 def monkeypatch_client(client_klass, kaggle_kernel_credentials):
     client_init = client_klass.__init__
@@ -340,7 +340,7 @@ def init_ucaip():
     kaggle_kernel_credentials = KaggleKernelCredentials(target=GcpTarget.CLOUDAI)
 
     # Patch the ucaip init method, this flows down to all ucaip services
-    monkeypatch_init(aiplatform, kaggle_kernel_credentials)
+    monkeypatch_aiplatform_init(aiplatform, kaggle_kernel_credentials)
 
 def init_video_intelligence():
     from google.cloud import videointelligence

From 5171b1d639251b41060cc93cb34f410af5a29845 Mon Sep 17 00:00:00 2001
From: Bovard Doerschuk-Tiberi <bovard@google.com>
Date: Fri, 21 May 2021 09:46:42 -0700
Subject: [PATCH 1121/1660] fix typo

---
 patches/kaggle_gcp.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index 66181613..fa3aae5b 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -191,7 +191,7 @@ def monkeypatch_bq(bq_client, *args, **kwargs):
 # eg
 # from google.cloud import aiplatform
 # aiplatform.init(args)
-def monkeypatch_aiploatform_init(aiplatform_klass, kaggle_kernel_credentials):
+def monkeypatch_aiplatform_init(aiplatform_klass, kaggle_kernel_credentials):
     aiplatform_init = aiplatform_klass.init
     def patched_init(self, *args, **kwargs):
         specified_credentials = kwargs.get('credentials')

From 597bc2a20013bc6f93da1ec8dd3606ff675ed580 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 25 May 2021 10:58:09 -0700
Subject: [PATCH 1122/1660] Pin fastai to 2.2.7 (#1014)

fastai 2.3.1 upgrades torch and torchvision causing issues.

upgrading torch proved more difficult than I thought (unresolvable
conflicts atm). will handle the upgrade later in b/181966788

http://b/188429515
---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 066e6494..dde1ce04 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -346,7 +346,8 @@ RUN pip install bleach && \
     pip install widgetsnbextension && \
     pip install pyarrow && \
     pip install feather-format && \
-    pip install fastai && \
+    # fastai >= 2.3.1 upgrades pytorch/torchvision. upgrade of pytorch will be handled in b/181966788
+    pip install fastai==2.2.7 && \
     pip install allennlp && \
     # https://b.corp.google.com/issues/184685619#comment9: 3.9.0 is causing a major performance degradation with spacy 2.3.5
     pip install importlib-metadata==3.4.0 && \

From 97ab4b8de203f4856cf5bcb7960419ad2b982c39 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 25 May 2021 11:31:54 -0700
Subject: [PATCH 1123/1660] Fix pytorch lightning test. (#1019)

In 1.3.x, trainer.fit(...) returns None.

Asserting on trainer.logged_metrics instead.

http://b/188429515
---
 tests/test_pytorch_lightning.py | 12 +++++++-----
 1 file changed, 7 insertions(+), 5 deletions(-)

diff --git a/tests/test_pytorch_lightning.py b/tests/test_pytorch_lightning.py
index a7c89d85..24d9f16d 100644
--- a/tests/test_pytorch_lightning.py
+++ b/tests/test_pytorch_lightning.py
@@ -23,10 +23,10 @@ def setup(self, stage=None):
         self.valid_ds = TensorDataset(X_valid, y_valid)
 
     def train_dataloader(self):
-        return DataLoader(self.train_ds, batch_size=self.batch_size, shuffle=True)
+        return DataLoader(self.train_ds, batch_size=self.batch_size, shuffle=True, num_workers=1)
 
     def val_dataloader(self):
-        return DataLoader(self.valid_ds, batch_size=self.batch_size, shuffle=False)
+        return DataLoader(self.valid_ds, batch_size=self.batch_size, shuffle=False, num_workers=1)
 
 
 class LitClassifier(pl.LightningModule):
@@ -54,7 +54,6 @@ def validation_step(self, batch, batch_idx):
     def configure_optimizers(self):
         return torch.optim.Adam(self.parameters(), lr=1e-2)
 
-
 class TestPytorchLightning(unittest.TestCase):
 
     def test_version(self):
@@ -64,5 +63,8 @@ def test_mnist(self):
         dm = LitDataModule()
         model = LitClassifier()
         trainer = pl.Trainer(gpus=None, max_epochs=1)
-        result = trainer.fit(model, datamodule=dm)
-        self.assertTrue(result)
+        trainer.fit(model, datamodule=dm)
+
+        self.assertIn("train_loss", trainer.logged_metrics)
+        self.assertIn("val_loss", trainer.logged_metrics)
+        

From ce2a5245a1e2481e7384caec03feafe38bac24da Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 26 May 2021 09:28:42 -0700
Subject: [PATCH 1124/1660] Pin tensorflow-transform (#1020)

`tensorflow-transform` 1.x released on May 24th is causing an unwanted
upgrade to TensorFlow 2.5.

http://b/188429515
---
 Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile b/Dockerfile
index dde1ce04..edb93d7c 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -412,6 +412,8 @@ RUN pip install flashtext && \
     pip install vowpalwabbit && \
     # papermill can replace nbconvert for executing notebooks
     pip install cloud-tpu-client && \
+    # b/188429515#comment7 tensorflow-transform 1.x is causing an upgrade to TensorFlow 2.5.
+    pip install tensorflow-transform==0.30.0 && \
     pip install tensorflow-cloud && \
     pip install tensorflow-datasets && \
     pip install pydub && \

From 5be3502c23f2212e5c53fca33586cc212936f366 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Wed, 26 May 2021 12:39:18 -0400
Subject: [PATCH 1125/1660] Main branch as default (#1021)

http://b/188715321
---
 Jenkinsfile | 8 ++++----
 README.md   | 2 +-
 2 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 74b26dd9..8f0fe862 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -1,4 +1,4 @@
-String cron_string = BRANCH_NAME == "master" ? "H 12 * * 1-5" : "" // Mon-Fri at noon UTC, 8am EST, 5am PDT
+String cron_string = BRANCH_NAME == "main" ? "H 12 * * 1-5" : "" // Mon-Fri at noon UTC, 8am EST, 5am PDT
 
 pipeline {
   agent { label 'ephemeral-linux' }
@@ -14,9 +14,9 @@ pipeline {
     GIT_COMMIT_SUBJECT = sh(returnStdout: true, script:"git log --format=%s -n 1 HEAD").trim()
     GIT_COMMIT_AUTHOR = sh(returnStdout: true, script:"git log --format='%an' -n 1 HEAD").trim()
     GIT_COMMIT_SUMMARY = "`<https://github.com/Kaggle/docker-python/commit/${GIT_COMMIT}|${GIT_COMMIT_SHORT}>` ${GIT_COMMIT_SUBJECT} - ${GIT_COMMIT_AUTHOR}"
-    SLACK_CHANNEL = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"master\" ]]; then echo \"#kernelops\"; else echo \"#builds\"; fi").trim()
-    PRETEST_TAG = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"master\" ]]; then echo \"ci-pretest\"; else echo \"${GIT_BRANCH}-pretest\"; fi").trim()
-    STAGING_TAG = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"master\" ]]; then echo \"staging\"; else echo \"${GIT_BRANCH}-staging\"; fi").trim()
+    SLACK_CHANNEL = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"main\" ]]; then echo \"#kernelops\"; else echo \"#builds\"; fi").trim()
+    PRETEST_TAG = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"main\" ]]; then echo \"ci-pretest\"; else echo \"${GIT_BRANCH}-pretest\"; fi").trim()
+    STAGING_TAG = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"main\" ]]; then echo \"staging\"; else echo \"${GIT_BRANCH}-staging\"; fi").trim()
   }
 
   stages {
diff --git a/README.md b/README.md
index 44be6c06..1c8481bf 100644
--- a/README.md
+++ b/README.md
@@ -27,7 +27,7 @@ If you the first step above doesn't work for your use case, [open an issue](http
     1. For changes specific to the GPU image, update the [gpu.Dockerfile](gpu.Dockerfile).
     1. Otherwise, update the [Dockerfile](Dockerfile).
 1. Follow the instructions below to build a new image.
-1. Add tests for your new package. See this [example](https://github.com/Kaggle/docker-python/blob/master/tests/test_fastai.py).
+1. Add tests for your new package. See this [example](https://github.com/Kaggle/docker-python/blob/main/tests/test_fastai.py).
 1. Follow the instructions below to test the new image.
 1. Open a PR on this repo and you are all set!
 

From 4e3c116f1fcb98db641717060a831cb67d124969 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 26 May 2021 13:06:51 -0700
Subject: [PATCH 1126/1660] Pin tensorflow-cloud to 1.1.13 (#1022)

Starting in 1.1.14, `tensorflow-cloud` requires `tensorflow-transform`
which requires `apache-beam[gcp]`. `apache-beam` downgrades the
`google.cloud` libraries to 1.x. However, we are using 2.x

http://b/188429515
---
 Dockerfile | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index edb93d7c..4c7a3947 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -412,9 +412,8 @@ RUN pip install flashtext && \
     pip install vowpalwabbit && \
     # papermill can replace nbconvert for executing notebooks
     pip install cloud-tpu-client && \
-    # b/188429515#comment7 tensorflow-transform 1.x is causing an upgrade to TensorFlow 2.5.
-    pip install tensorflow-transform==0.30.0 && \
-    pip install tensorflow-cloud && \
+    # b/188429515#comment7 tensorflow-cloud >= 0.1.14 installs tensorflow-transform which install apache-beam which downgrades the google.cloud library to 1.x.
+    pip install tensorflow-cloud==0.1.13 && \
     pip install tensorflow-datasets && \
     pip install pydub && \
     pip install pydegensac && \

From 79b6541e84829fe3985421bc0b5ebfe8e34052c9 Mon Sep 17 00:00:00 2001
From: Bovard Doerschuk-Tiberi <bovard@google.com>
Date: Thu, 27 May 2021 10:10:17 -0700
Subject: [PATCH 1127/1660] Fix ucaip init method (#1024)

---
 patches/kaggle_gcp.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index fa3aae5b..2c8b64cc 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -193,12 +193,12 @@ def monkeypatch_bq(bq_client, *args, **kwargs):
 # aiplatform.init(args)
 def monkeypatch_aiplatform_init(aiplatform_klass, kaggle_kernel_credentials):
     aiplatform_init = aiplatform_klass.init
-    def patched_init(self, *args, **kwargs):
+    def patched_init(*args, **kwargs):
         specified_credentials = kwargs.get('credentials')
         if specified_credentials is None:
             Log.info("No credentials specified, using KaggleKernelCredentials.")
             kwargs['credentials'] = kaggle_kernel_credentials
-        return aiplatform_init(self, *args, **kwargs)
+        return aiplatform_init(*args, **kwargs)
 
     if (not has_been_monkeypatched(aiplatform_klass.init)):
         aiplatform_klass.init = patched_init

From e2ec76e9bd7612283b55eb232d1ec7d0b1abe14b Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 9 Jun 2021 13:47:59 -0700
Subject: [PATCH 1128/1660] Pin pynvml (#1027)

The latest version is causing an issue with nnabla. nnabla fixed the
issue, pinning while waiting for new version of nnabla:
https://github.com/sony/nnabla/issues/892

http://b/190622765
---
 gpu.Dockerfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index b40d0807..46a725b1 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -100,6 +100,8 @@ RUN pip install /tmp/tfa_gpu/tensorflow*.whl && \
 RUN pip install pycuda && \
     pip install cupy-cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \
     pip install pynvrtc && \
+    # b/190622765 latest version is causing issue. nnabla fixed it in https://github.com/sony/nnabla/issues/892, waiting for new release before we can remove this pin.
+    pip install pynvml==8.0.4 && \
     pip install nnabla-ext-cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \
     /tmp/clean-layer.sh
 

From e8cb8a2391909fb609ea007ffc877c53dbcfc188 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 9 Jun 2021 22:12:13 -0700
Subject: [PATCH 1129/1660] Upgrade base image to m71 (#1028)

---
 Dockerfile                | 2 +-
 tensorflow-whl/Dockerfile | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 4c7a3947..121adfcb 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,4 +1,4 @@
-ARG BASE_TAG=m66
+ARG BASE_TAG=m71
 ARG TENSORFLOW_VERSION=2.4.1
 
 FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37-2 as tensorflow_whl
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index e49314af..9d543d73 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -1,5 +1,5 @@
 FROM nvidia/cuda:11.0-cudnn8-devel-ubuntu18.04 AS nvidia
-FROM gcr.io/deeplearning-platform-release/base-cpu:m66
+FROM gcr.io/deeplearning-platform-release/base-cpu:m71
 
 # Avoid interactive configuration prompts/dialogs during apt-get.
 ENV DEBIAN_FRONTEND=noninteractive

From 3f0701e8c973646775f8fa25c888254f717b2b7b Mon Sep 17 00:00:00 2001
From: Alexis Cook <alexis.cook@gmail.com>
Date: Thu, 10 Jun 2021 12:12:41 -0400
Subject: [PATCH 1130/1660] Update test_spacy.py (#1026)

---
 tests/test_spacy.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/tests/test_spacy.py b/tests/test_spacy.py
index 22a44c15..ae524dae 100644
--- a/tests/test_spacy.py
+++ b/tests/test_spacy.py
@@ -2,6 +2,7 @@
 
 import spacy
 
+# please check with learn team before changing
 class TestSpacy(unittest.TestCase):
     def test_model(self):
         nlp = spacy.load('en_core_web_sm')

From 6d08285a05dcb45df3370959d43c1452dff9c4ba Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 10 Jun 2021 09:26:26 -0700
Subject: [PATCH 1131/1660] Add igraph test (#1029)

---
 tests/test_igraph.py | 12 ++++++++++++
 1 file changed, 12 insertions(+)
 create mode 100644 tests/test_igraph.py

diff --git a/tests/test_igraph.py b/tests/test_igraph.py
new file mode 100644
index 00000000..67cdbbbd
--- /dev/null
+++ b/tests/test_igraph.py
@@ -0,0 +1,12 @@
+import unittest
+
+from igraph import Graph
+
+
+class TestIgraph(unittest.TestCase):
+    def test_graph(self):
+        # Create a graph with 10 vertices & 2 children each.
+        g2 = Graph.Tree(n=10, children=2) 
+       
+        self.assertEqual(9, len(g2.get_edgelist()))
+

From 411e2f50ebc94f8485bd0c9848e727d51288f5e4 Mon Sep 17 00:00:00 2001
From: Jovan Veljanoski <jovan.veljanoski@gmail.com>
Date: Fri, 18 Jun 2021 15:29:07 +0200
Subject: [PATCH 1132/1660] Add the vaex library (includes a test) (#1031)

---
 Dockerfile         |  1 +
 tests/test_vaex.py | 10 ++++++++++
 2 files changed, 11 insertions(+)
 create mode 100644 tests/test_vaex.py

diff --git a/Dockerfile b/Dockerfile
index 121adfcb..8a034ba6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -365,6 +365,7 @@ RUN pip install bleach && \
 
 RUN pip install flashtext && \
     pip install wandb && \
+    pip install vaex && \
     pip install marisa-trie && \
     pip install pyemd && \
     pip install pyupset && \
diff --git a/tests/test_vaex.py b/tests/test_vaex.py
new file mode 100644
index 00000000..db5b9aba
--- /dev/null
+++ b/tests/test_vaex.py
@@ -0,0 +1,10 @@
+import unittest
+
+import vaex
+
+class TestVaex(unittest.TestCase):
+    def test_read_csv(self):
+        df = vaex.read_csv("/input/tests/data/train.csv")
+
+        self.assertEqual((100, 785), df.shape)
+        self.assertEqual(10, df['label'].nunique())

From 8c40f18e7e70b252385ce8d05e706bd258fa7167 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 21 Jun 2021 15:16:30 -0700
Subject: [PATCH 1133/1660] Revert "Add the vaex library (includes a test)
 (#1031)" (#1033)

This reverts commit 411e2f50ebc94f8485bd0c9848e727d51288f5e4.
---
 Dockerfile         |  1 -
 tests/test_vaex.py | 10 ----------
 2 files changed, 11 deletions(-)
 delete mode 100644 tests/test_vaex.py

diff --git a/Dockerfile b/Dockerfile
index 8a034ba6..121adfcb 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -365,7 +365,6 @@ RUN pip install bleach && \
 
 RUN pip install flashtext && \
     pip install wandb && \
-    pip install vaex && \
     pip install marisa-trie && \
     pip install pyemd && \
     pip install pyupset && \
diff --git a/tests/test_vaex.py b/tests/test_vaex.py
deleted file mode 100644
index db5b9aba..00000000
--- a/tests/test_vaex.py
+++ /dev/null
@@ -1,10 +0,0 @@
-import unittest
-
-import vaex
-
-class TestVaex(unittest.TestCase):
-    def test_read_csv(self):
-        df = vaex.read_csv("/input/tests/data/train.csv")
-
-        self.assertEqual((100, 785), df.shape)
-        self.assertEqual(10, df['label'].nunique())

From 2dbd486fc9ce05aa5b4fac0cb47373ab228baae7 Mon Sep 17 00:00:00 2001
From: Jim Plotts <jplotts@google.com>
Date: Mon, 21 Jun 2021 19:38:48 -0400
Subject: [PATCH 1134/1660] Pin fancyimpute to prevent tensorflow
 reinstallation. (#1032)

---
 Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 121adfcb..aabaa814 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -194,7 +194,8 @@ RUN pip install mpld3 && \
     pip install CVXcanon && \
     # b/179264579 cvxpy 1.1.8 requires numpy >= 1.20
     pip install cvxpy==1.1.7 && \
-    pip install fancyimpute && \
+    # b/184083722 remove pin after upgrading to TensorFlow 2.5
+    pip install fancyimpute==0.5.5 && \
     pip install pymc3 && \
     pip install imagecodecs && \
     pip install tifffile && \

From 0b2dcfa233cd97f058a9d2515637ae61c3a0b026 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 22 Jun 2021 13:46:47 -0700
Subject: [PATCH 1135/1660] Upgrade base image (#1034)

---
 Dockerfile                | 2 +-
 tensorflow-whl/Dockerfile | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index aabaa814..679f591d 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,4 +1,4 @@
-ARG BASE_TAG=m71
+ARG BASE_TAG=m73
 ARG TENSORFLOW_VERSION=2.4.1
 
 FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37-2 as tensorflow_whl
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
index 9d543d73..0cc4140a 100644
--- a/tensorflow-whl/Dockerfile
+++ b/tensorflow-whl/Dockerfile
@@ -1,5 +1,5 @@
 FROM nvidia/cuda:11.0-cudnn8-devel-ubuntu18.04 AS nvidia
-FROM gcr.io/deeplearning-platform-release/base-cpu:m71
+FROM gcr.io/deeplearning-platform-release/base-cpu:m73
 
 # Avoid interactive configuration prompts/dialogs during apt-get.
 ENV DEBIAN_FRONTEND=noninteractive

From 3d698a638975d175594c8e352fba3bee7d8a3020 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 25 Jun 2021 13:22:39 -0700
Subject: [PATCH 1136/1660] Use official TensorFlow wheel (#1036)

We are moving towards the base DLVM TF image.

http://b/186646069
---
 Dockerfile     | 27 +++++++--------------------
 gpu.Dockerfile | 11 +----------
 2 files changed, 8 insertions(+), 30 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 679f591d..f30fc2c0 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,9 +1,12 @@
 ARG BASE_TAG=m73
 ARG TENSORFLOW_VERSION=2.4.1
 
-FROM gcr.io/kaggle-images/python-tensorflow-whl:${TENSORFLOW_VERSION}-py37-2 as tensorflow_whl
 FROM gcr.io/deeplearning-platform-release/base-cpu:${BASE_TAG}
 
+# We need to redefine TENSORFLOW_VERSION here to get the default ARG value defined above the FROM instruction.
+# See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
+ARG TENSORFLOW_VERSION
+
 ADD clean-layer.sh  /tmp/clean-layer.sh
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
 ADD patches/template_conf.json /opt/kaggle/conf.json
@@ -56,22 +59,9 @@ RUN pip install seaborn python-dateutil dask && \
     pip install -f https://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html h2o && \
     /tmp/clean-layer.sh
 
-# Install tensorflow from a pre-built wheel
-COPY --from=tensorflow_whl /tmp/tensorflow_cpu/*.whl /tmp/tensorflow_cpu/
-RUN pip install /tmp/tensorflow_cpu/tensorflow*.whl && \
-    rm -rf /tmp/tensorflow_cpu && \
-    /tmp/clean-layer.sh
-
-# Install tensorflow-gcs-config from a pre-built wheel
-COPY --from=tensorflow_whl /tmp/tensorflow_gcs_config/*.whl /tmp/tensorflow_gcs_config/
-RUN pip install /tmp/tensorflow_gcs_config/tensorflow*.whl && \
-    rm -rf /tmp/tensorflow_gcs_config && \
-    /tmp/clean-layer.sh
-
-# Install TensorFlow addons (TFA).
-COPY --from=tensorflow_whl /tmp/tfa_cpu/*.whl /tmp/tfa_cpu/
-RUN pip install /tmp/tfa_cpu/tensorflow*.whl && \
-    rm -rf /tmp/tfa_cpu/ && \
+RUN pip install tensorflow==${TENSORFLOW_VERSION} && \
+    pip install tensorflow-gcs-config==2.4.0 && \
+    pip install tensorflow-addons==0.12.1 && \
     /tmp/clean-layer.sh
 
 RUN apt-get install -y libfreetype6-dev && \
@@ -513,9 +503,6 @@ RUN jupyter-nbextension disable nb_conda --py --sys-prefix && \
 # Set backend for matplotlib
 ENV MPLBACKEND "agg"
 
-# We need to redefine TENSORFLOW_VERSION here to get the default ARG value defined above the FROM instruction.
-# See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
-ARG TENSORFLOW_VERSION
 ARG GIT_COMMIT=unknown
 ARG BUILD_DATE=unknown
 
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 46a725b1..42ac20c9 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -1,7 +1,6 @@
 ARG BASE_TAG=staging
 
 FROM nvidia/cuda:11.0-cudnn8-devel-ubuntu18.04 AS nvidia
-FROM gcr.io/kaggle-images/python-tensorflow-whl:2.4.1-py37-2 as tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_TAG}
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
@@ -82,20 +81,12 @@ RUN  pip install jax==0.2.12 jaxlib==0.1.64+cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_V
      /tmp/clean-layer.sh
 
 # Reinstall packages with a separate version for GPU support.
-COPY --from=tensorflow_whl /tmp/tensorflow_gpu/*.whl /tmp/tensorflow_gpu/
 RUN pip uninstall -y tensorflow && \
-    pip install /tmp/tensorflow_gpu/tensorflow*.whl && \
-    rm -rf /tmp/tensorflow_gpu && \
+    pip install tensorflow-gpu==2.4.1 && \
     pip uninstall -y mxnet && \
     pip install mxnet-cu$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \
     /tmp/clean-layer.sh
 
- # Reinstall TensorFlow addons (TFA) with GPU support.
-COPY --from=tensorflow_whl /tmp/tfa_gpu/*.whl /tmp/tfa_gpu/
-RUN pip install /tmp/tfa_gpu/tensorflow*.whl && \
-    rm -rf /tmp/tfa_gpu/ && \
-    /tmp/clean-layer.sh
-
 # Install GPU-only packages
 RUN pip install pycuda && \
     pip install cupy-cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \

From 391dc1b8205b1fa337781b78f82c58ae67b441da Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 2 Jul 2021 09:07:10 -0700
Subject: [PATCH 1137/1660] Upgrade cuml/cudf to 21.06 (#1038)

* Upgrade cuml/cudf to 21.06

http://b/192568337

* add torchtext to list of package to remove to avoid inconsistent environment

* Use cupy installed by conda
---
 gpu.Dockerfile | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 42ac20c9..fbce4ede 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -57,8 +57,9 @@ RUN apt-get install -y ocl-icd-libopencl1 clinfo libboost-all-dev && \
 # the remaining pip commands: https://www.anaconda.com/using-pip-in-a-conda-environment/
 # However, because this image is based on the CPU image, this isn't possible but better
 # to put them at the top of this file to minize conflicts.
-RUN conda remove --force -y pytorch torchvision torchaudio cpuonly && \
-    conda install "pytorch=1.7" "torchvision=0.8" "torchaudio=0.7" "torchtext=0.8" "cudf=0.16" "cuml=0.16" cudatoolkit=$CUDA_VERSION && \
+RUN conda remove --force -y pytorch torchvision torchaudio torchtext cpuonly && \
+    conda install "pytorch=1.7" "torchvision=0.8" "torchaudio=0.7" "torchtext=0.8" cudatoolkit=$CUDA_VERSION && \
+    conda install "cudf=21.06" "cuml=21.06" && \
     /tmp/clean-layer.sh
 
 # Install LightGBM with GPU
@@ -89,7 +90,6 @@ RUN pip uninstall -y tensorflow && \
 
 # Install GPU-only packages
 RUN pip install pycuda && \
-    pip install cupy-cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \
     pip install pynvrtc && \
     # b/190622765 latest version is causing issue. nnabla fixed it in https://github.com/sony/nnabla/issues/892, waiting for new release before we can remove this pin.
     pip install pynvml==8.0.4 && \

From 7e3c7a28423aa3609c6040b5b3e834157245c2c2 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 2 Jul 2021 09:07:29 -0700
Subject: [PATCH 1138/1660] Upgrade LightGBM 3.2.1 (#1040)

---
 Dockerfile     | 2 +-
 gpu.Dockerfile | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index f30fc2c0..7cf1c06f 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -71,7 +71,7 @@ RUN apt-get install -y libfreetype6-dev && \
     pip install wordcloud && \
     pip install xgboost && \
     # Pinned to match GPU version. Update version together.
-    pip install lightgbm==3.2.0 && \
+    pip install lightgbm==3.2.1 && \
     pip install pydot && \
     pip install keras && \
     pip install keras-tuner && \
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index fbce4ede..62fc92fc 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -67,7 +67,7 @@ RUN pip uninstall -y lightgbm && \
     cd /usr/local/src && \
     git clone --recursive https://github.com/microsoft/LightGBM && \
     cd LightGBM && \
-    git checkout tags/v3.2.0 && \
+    git checkout tags/v3.2.1 && \
     mkdir build && cd build && \
     cmake -DUSE_GPU=1 -DOpenCL_LIBRARY=/usr/local/cuda/lib64/libOpenCL.so -DOpenCL_INCLUDE_DIR=/usr/local/cuda/include/ .. && \
     make -j$(nproc) && \

From 882546e94435036c068442f04638a7346745c7b5 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 2 Jul 2021 09:07:41 -0700
Subject: [PATCH 1139/1660] Upgrade JAX to 0.2.16 (#1039)

---
 gpu.Dockerfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 62fc92fc..e467089a 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -78,8 +78,8 @@ RUN pip uninstall -y lightgbm && \
     /tmp/clean-layer.sh
 
 # Install JAX (Keep JAX version in sync with CPU image)
-RUN  pip install jax==0.2.12 jaxlib==0.1.64+cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION -f https://storage.googleapis.com/jax-releases/jax_releases.html && \
-     /tmp/clean-layer.sh
+RUN pip install jax==0.2.16 jaxlib==0.1.68+cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION -f https://storage.googleapis.com/jax-releases/jax_releases.html && \
+    /tmp/clean-layer.sh
 
 # Reinstall packages with a separate version for GPU support.
 RUN pip uninstall -y tensorflow && \

From 6cd8466003904aab238c9336238ef4eb60a18aa0 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 9 Jul 2021 13:22:16 -0700
Subject: [PATCH 1140/1660] Removing fancyimpute (#1042)

* Removing fancyimpute

This package is in "bare maintenance" mode and rarely used on Kaggle.

`cvxpy` was only used by the `fancyimpute` package.

* pyldavis >= 3.3 requires numpy >= 1.20.0 but TensorFlow 2.4.1 / 2.5.0 requires 1.19.2
---
 Dockerfile | 7 ++-----
 1 file changed, 2 insertions(+), 5 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 7cf1c06f..40237d0e 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -174,7 +174,8 @@ RUN pip install mpld3 && \
     pip install s2sphere && \
     pip install bayesian-optimization && \
     pip install matplotlib-venn && \
-    pip install pyldavis && \
+    # b/184083722 pyldavis >= 3.3 requires numpy >= 1.20.0 but TensorFlow 2.4.1 / 2.5.0 requires 1.19.2
+    pip install pyldavis==3.2.2 && \
     pip install mlxtend && \
     pip install altair && \
     # b/183944405 pystan 3.x is not compatible with fbprophet.
@@ -182,10 +183,6 @@ RUN pip install mpld3 && \
     pip install ImageHash && \
     pip install ecos && \
     pip install CVXcanon && \
-    # b/179264579 cvxpy 1.1.8 requires numpy >= 1.20
-    pip install cvxpy==1.1.7 && \
-    # b/184083722 remove pin after upgrading to TensorFlow 2.5
-    pip install fancyimpute==0.5.5 && \
     pip install pymc3 && \
     pip install imagecodecs && \
     pip install tifffile && \

From 0638abff8540820218904a1aa67f93ae6a5fadbd Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 12 Jul 2021 13:44:03 -0700
Subject: [PATCH 1141/1660] Remove multi-backend Keras. (#1045)

From the keras repo: https://github.com/keras-team/keras/tree/2.4.0

> Multi-backend Keras has been discontinued. At this time, we recommend that Keras users who use multi-backend Keras with the TensorFlow backend switch to tf.keras in TensorFlow 2.0.

http://b/184083722
---
 Dockerfile          |  7 +---
 tests/test_keras.py | 82 ---------------------------------------------
 2 files changed, 1 insertion(+), 88 deletions(-)
 delete mode 100644 tests/test_keras.py

diff --git a/Dockerfile b/Dockerfile
index 40237d0e..f24e6428 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -73,7 +73,6 @@ RUN apt-get install -y libfreetype6-dev && \
     # Pinned to match GPU version. Update version together.
     pip install lightgbm==3.2.1 && \
     pip install pydot && \
-    pip install keras && \
     pip install keras-tuner && \
     pip install flake8 && \
     # Pinned because it breaks theano test with the latest version (b/178107003).
@@ -248,10 +247,6 @@ RUN pip install tensorpack && \
 RUN pip install --upgrade cython && \
     pip install --upgrade cysignals && \
     pip install pyfasttext && \
-    # ktext has an explicit dependency on Keras 2.2.4 which is not
-    # compatible with TensorFlow 2.0 (support was added in Keras 2.3.0).
-    # Add the package back once it is fixed upstream.
-    # pip install ktext && \
     pip install fasttext && \
     apt-get install -y libhunspell-dev && pip install hunspell && \
     pip install annoy && \
@@ -450,7 +445,7 @@ ENV PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/
 ENV MKL_THREADING_LAYER=GNU
 
 # Temporary fixes and patches
-    # Temporary patch for Dask getting downgraded, which breaks Keras
+# Temporary patch for Dask getting downgraded, which breaks Keras
 RUN pip install --upgrade dask && \
     # Stop jupyter nbconvert trying to rewrite its folder hierarchy
     mkdir -p /root/.jupyter && touch /root/.jupyter/jupyter_nbconvert_config.py && touch /root/.jupyter/migrated && \
diff --git a/tests/test_keras.py b/tests/test_keras.py
deleted file mode 100644
index de57de27..00000000
--- a/tests/test_keras.py
+++ /dev/null
@@ -1,82 +0,0 @@
-import unittest
-
-import keras
-import numpy as np
-import pandas as pd
-
-from keras.models import Sequential
-from keras.layers import Dense, Dropout, Flatten, Conv2D, MaxPooling2D, LSTM
-from keras.optimizers import RMSprop, SGD
-from keras.utils.np_utils import to_categorical
-
-from common import gpu_test
-
-class TestKeras(unittest.TestCase):
-    def test_train(self):
-        train = pd.read_csv("/input/tests/data/train.csv")
-
-        x_train = train.iloc[:,1:].values.astype('float32')
-        y_train = to_categorical(train.iloc[:,0].astype('int32'))
-
-        model = Sequential()
-        model.add(Dense(units=10, input_dim=784, activation='softmax'))
-
-        model.compile(
-            loss='categorical_crossentropy',
-            optimizer=RMSprop(lr=0.001),
-            metrics=['accuracy'])
-
-        model.fit(x_train, y_train, epochs=1, batch_size=32)
-
-    # Uses convnet which depends on libcudnn when running on GPU
-    def test_conv2d(self):
-        # Generate dummy data
-        x_train = np.random.random((100, 100, 100, 3))
-        y_train = keras.utils.to_categorical(np.random.randint(10, size=(100, 1)), num_classes=10)
-        x_test = np.random.random((20, 100, 100, 3))
-        y_test = keras.utils.to_categorical(np.random.randint(10, size=(20, 1)), num_classes=10)
-
-        model = Sequential()
-        # input: 100x100 images with 3 channels -> (100, 100, 3) tensors.
-        # this applies 32 convolution filters of size 3x3 each.
-        model.add(Conv2D(32, (3, 3), activation='relu', input_shape=(100, 100, 3)))
-        model.add(Conv2D(32, (3, 3), activation='relu'))
-        model.add(MaxPooling2D(pool_size=(2, 2)))
-        model.add(Dropout(0.25))
-
-        model.add(Conv2D(64, (3, 3), activation='relu'))
-        model.add(Conv2D(64, (3, 3), activation='relu'))
-        model.add(MaxPooling2D(pool_size=(2, 2)))
-        model.add(Dropout(0.25))
-
-        model.add(Flatten())
-        model.add(Dense(256, activation='relu'))
-        model.add(Dropout(0.5))
-        model.add(Dense(10, activation='softmax'))
-
-        sgd = SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
-
-        # This throws if libcudnn is not properly installed with on a GPU
-        model.compile(loss='categorical_crossentropy', optimizer=sgd)
-        model.fit(x_train, y_train, batch_size=32, epochs=1)
-        
-        model.evaluate(x_test, y_test, batch_size=32)
-
-    def test_lstm(self):
-        x_train = np.random.random((100, 100, 100))
-        y_train = keras.utils.to_categorical(np.random.randint(10, size=(100, 1)), num_classes=10)
-        x_test = np.random.random((20, 100, 100))
-        y_test = keras.utils.to_categorical(np.random.randint(10, size=(20, 1)), num_classes=10)
-
-        sgd = SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
-
-        model = Sequential()
-        model.add(LSTM(32, return_sequences=True, input_shape=(100, 100)))
-        model.add(Flatten())
-        model.add(Dense(10, activation='softmax'))
-
-
-        model.compile(loss='categorical_crossentropy', optimizer=sgd)
-        model.fit(x_train, y_train, batch_size=32, epochs=1)
-        model.evaluate(x_test, y_test, batch_size=32)
-

From 08e5a8a02344bd14c00fd1add8816384400dfc18 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 19 Jul 2021 09:21:19 -0700
Subject: [PATCH 1142/1660] Add tests for torchtext and torchvision (#1046)

---
 tests/test_torchtext.py   | 12 ++++++++++++
 tests/test_torchvision.py | 25 +++++++++++++++++++++++++
 2 files changed, 37 insertions(+)
 create mode 100644 tests/test_torchtext.py
 create mode 100644 tests/test_torchvision.py

diff --git a/tests/test_torchtext.py b/tests/test_torchtext.py
new file mode 100644
index 00000000..f9fbf76f
--- /dev/null
+++ b/tests/test_torchtext.py
@@ -0,0 +1,12 @@
+import unittest
+
+from torchtext.data.metrics import bleu_score
+
+
+class TestTorchtext(unittest.TestCase):
+    def test_bleu_score(self):
+        candidate = [['I', 'love', 'Kaggle', 'Notebooks']]
+        refs = [[['Completely', 'Different']]]
+
+        self.assertEqual(0, bleu_score(candidate, refs))
+
diff --git a/tests/test_torchvision.py b/tests/test_torchvision.py
new file mode 100644
index 00000000..c66688e0
--- /dev/null
+++ b/tests/test_torchvision.py
@@ -0,0 +1,25 @@
+import unittest
+
+import torch
+import torchvision.transforms as transforms
+import torchvision.transforms.functional as F
+
+
+class TestTorchvision(unittest.TestCase):
+    def test_float_to_float(self):
+        input_dtype=torch.float32
+        output_dtype=torch.float64
+        input_image = torch.tensor((0.0, 1.0), dtype=input_dtype)
+        transform = transforms.ConvertImageDtype(output_dtype)
+        transform_script = torch.jit.script(F.convert_image_dtype)
+
+        output_image = transform(input_image)
+        output_image_script = transform_script(input_image, output_dtype)
+
+        # TODO(b/181966788) Uncomment after upgrade to pytorch 1.9.0 is done.
+        # torch.testing.assert_close(output_image_script, output_image, rtol=0.0, atol=1e-6)
+
+        actual_min, actual_max = output_image.tolist()
+
+        self.assertAlmostEqual(0, actual_min)
+        self.assertAlmostEqual(1, actual_max)
\ No newline at end of file

From 5246382a7ddf8501a1abe41be92fa9f1196a7122 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 19 Jul 2021 09:41:50 -0700
Subject: [PATCH 1143/1660] Upgrade JAX on CPU image to match GPU image.
 (#1047)

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index f24e6428..d05b0464 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -409,7 +409,7 @@ RUN pip install flashtext && \
     pip install pycrypto && \
     pip install easyocr && \
     # Keep JAX version in sync with GPU image.
-    pip install jax==0.2.12 jaxlib==0.1.64 && \
+    pip install jax==0.2.16 jaxlib==0.1.68 && \
     # ipympl adds interactive widget support for matplotlib
     pip install ipympl==0.7.0 && \
     pip install pandarallel && \

From a9223c7c1be24bd92f671644a2fae2617825991d Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 19 Jul 2021 18:00:15 -0700
Subject: [PATCH 1144/1660] Upgrade base image to m75 (#1048)

* Upgrade base image to m75

* Loosen version restrictions

- Remove version pin for pyproj
- Use matplotlib version from base image
- Install python-igraph from pip instead of conda
---
 Dockerfile | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index d05b0464..8d4a5e90 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,4 +1,4 @@
-ARG BASE_TAG=m73
+ARG BASE_TAG=m75
 ARG TENSORFLOW_VERSION=2.4.1
 
 FROM gcr.io/deeplearning-platform-release/base-cpu:${BASE_TAG}
@@ -45,12 +45,12 @@ RUN conda config --add channels conda-forge && \
     # ^ rapidsai is the highest priority channel, default lowest, conda-forge 2nd lowest.
     # b/182405233 pyproj 3.x is not compatible with basemap 1.2.1
     # b/161473620#comment7 pin required to prevent resolver from picking pysal 1.x., pysal 2.2.x is also downloading data on import.
-    conda install matplotlib basemap cartopy python-igraph imagemagick "pyproj=2.6" "pysal==2.1.0" && \
+    conda install basemap cartopy imagemagick pyproj "pysal==2.1.0" && \
     conda install "pytorch=1.7" "torchvision=0.8" "torchaudio=0.7" "torchtext=0.8" cpuonly && \
     /tmp/clean-layer.sh
 
 # The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
-RUN pip install seaborn python-dateutil dask && \
+RUN pip install seaborn python-dateutil dask python-igraph && \
     pip install pyyaml joblib husl geopy ml_metrics mne pyshp && \
     pip install pandas && \
     # Install h2o from source.

From 6d3f89dd9dad42a6576b82510e591d9bfc12001b Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 21 Jul 2021 09:11:52 -0700
Subject: [PATCH 1145/1660] Remove pytext-nlp (#1049)

The latest version (0.3.3) was released in June 2020 and is only
compatible with Pytorch 1.5: https://github.com/facebookresearch/pytext/blob/fad9639bf733ca0d5aaf2a3a9eaca64e90675d84/requirements.txt#L19

Usage on Kaggle is very low (~2-3 sessions per day).
---
 Dockerfile           |  5 -----
 tests/test_pytext.py | 14 --------------
 2 files changed, 19 deletions(-)
 delete mode 100644 tests/test_pytext.py

diff --git a/Dockerfile b/Dockerfile
index 8d4a5e90..0df911e6 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -370,11 +370,6 @@ RUN pip install flashtext && \
     pip install https://github.com/hbasria/ggpy/archive/0.11.5.zip && \
     pip install cesium && \
     pip install rgf_python && \
-    # b/185992410: onnx is a dependency of pytext, but the version 1.9.0 breaks pytext test.
-    # Remove this installation when pytext fixes the problem.
-    pip install onnx==1.8.1 && \
-    # b/145404107: latest version force specific version of numpy and torch.
-    pip install pytext-nlp==0.1.2 && \
     pip install tsfresh && \
     pip install pykalman && \
     pip install optuna && \
diff --git a/tests/test_pytext.py b/tests/test_pytext.py
deleted file mode 100644
index 52d1c4bc..00000000
--- a/tests/test_pytext.py
+++ /dev/null
@@ -1,14 +0,0 @@
-import unittest
-
-from pytext.config.field_config import FeatureConfig
-from pytext.data.featurizer import InputRecord, SimpleFeaturizer
-
-class TestPyText(unittest.TestCase):
-
-    def test_tokenize(self):
-        featurizer = SimpleFeaturizer.from_config(
-            SimpleFeaturizer.Config(), FeatureConfig()
-        )
-
-        tokens = featurizer.featurize(InputRecord(raw_text="At eight o'clock")).tokens
-        self.assertEqual(['at', 'eight', "o'clock"], tokens)

From 7eb00688a2878565716525f4c2886e0792024154 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 21 Jul 2021 17:35:11 -0700
Subject: [PATCH 1146/1660] Remove code to build custom TensorFlow wheel.
 (#1052)

Starting in #1036, we are using the official TensorFlow wheels.
---
 README.md                                     |  15 +-
 tensorflow-whl/CHANGELOG.md                   |  26 ---
 tensorflow-whl/Dockerfile                     | 131 -----------
 tensorflow-whl/Jenkinsfile                    |  36 ---
 tensorflow-whl/README.md                      |  28 ---
 tensorflow-whl/build                          |  42 ----
 tensorflow-whl/push                           |  48 ----
 .../tensorflow-gcs-config/.gitignore          |  12 -
 .../tensorflow-gcs-config/Dockerfile          |  62 -----
 .../tensorflow-gcs-config/MANIFEST.in         |   2 -
 .../tensorflow-gcs-config/README.md           |  10 -
 .../tensorflow-gcs-config/WORKSPACE           |  44 ----
 tensorflow-whl/tensorflow-gcs-config/build.py |  98 --------
 tensorflow-whl/tensorflow-gcs-config/setup.py |  20 --
 .../tensorflow_gcs_config/BUILD               |  22 --
 .../tensorflow_gcs_config/__init__.py         | 132 -----------
 .../gcs_config_op_kernels.cc                  | 218 ------------------
 .../tensorflow_gcs_config/gcs_config_ops.cc   |  66 ------
 .../tensorflow-gcs-config/third_party/BUILD   |   0
 .../third_party/jsoncpp.BUILD                 |  37 ---
 .../third_party/tensorflow/BUILD              |   0
 .../third_party/tensorflow/BUILD.tpl          |  18 --
 .../third_party/tensorflow/tf_configure.bzl   | 210 -----------------
 23 files changed, 1 insertion(+), 1276 deletions(-)
 delete mode 100644 tensorflow-whl/CHANGELOG.md
 delete mode 100644 tensorflow-whl/Dockerfile
 delete mode 100644 tensorflow-whl/Jenkinsfile
 delete mode 100644 tensorflow-whl/README.md
 delete mode 100755 tensorflow-whl/build
 delete mode 100755 tensorflow-whl/push
 delete mode 100644 tensorflow-whl/tensorflow-gcs-config/.gitignore
 delete mode 100644 tensorflow-whl/tensorflow-gcs-config/Dockerfile
 delete mode 100644 tensorflow-whl/tensorflow-gcs-config/MANIFEST.in
 delete mode 100644 tensorflow-whl/tensorflow-gcs-config/README.md
 delete mode 100644 tensorflow-whl/tensorflow-gcs-config/WORKSPACE
 delete mode 100644 tensorflow-whl/tensorflow-gcs-config/build.py
 delete mode 100644 tensorflow-whl/tensorflow-gcs-config/setup.py
 delete mode 100644 tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/BUILD
 delete mode 100644 tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/__init__.py
 delete mode 100644 tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/gcs_config_op_kernels.cc
 delete mode 100644 tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/gcs_config_ops.cc
 delete mode 100644 tensorflow-whl/tensorflow-gcs-config/third_party/BUILD
 delete mode 100644 tensorflow-whl/tensorflow-gcs-config/third_party/jsoncpp.BUILD
 delete mode 100644 tensorflow-whl/tensorflow-gcs-config/third_party/tensorflow/BUILD
 delete mode 100644 tensorflow-whl/tensorflow-gcs-config/third_party/tensorflow/BUILD.tpl
 delete mode 100644 tensorflow-whl/tensorflow-gcs-config/third_party/tensorflow/tf_configure.bzl

diff --git a/README.md b/README.md
index 1c8481bf..bd065b4a 100644
--- a/README.md
+++ b/README.md
@@ -74,17 +74,4 @@ docker run --runtime nvidia --rm -it kaggle/python-gpu-build /bin/bash
 docker run --runtime nvidia --rm -it gcr.io/kaggle-gpu-images/python /bin/bash
 ```
 
-To ensure your container can access the GPU, follow the instructions posted [here](https://github.com/Kaggle/docker-python/issues/361#issuecomment-448093930).
-
-## Tensorflow custom pre-built wheel
-
-A Tensorflow custom pre-built wheel is used mainly for:
-
-* Faster build time: Building tensorflow from sources takes ~1h. Keeping this process outside the main build allows faster iterations when working on our Dockerfiles.
-
-Building Tensorflow from sources:
-
-* Increase performance: When building from sources, we can leverage CPU specific optimizations
-* Is required: Tensorflow with GPU support must be built from sources
-
-The [Dockerfile](tensorflow-whl/Dockerfile) and the [instructions](tensorflow-whl/README.md) can be found in the [tensorflow-whl folder/](tensorflow-whl/).
+To ensure your container can access the GPU, follow the instructions posted [here](https://github.com/Kaggle/docker-python/issues/361#issuecomment-448093930).
\ No newline at end of file
diff --git a/tensorflow-whl/CHANGELOG.md b/tensorflow-whl/CHANGELOG.md
deleted file mode 100644
index 1dfad51e..00000000
--- a/tensorflow-whl/CHANGELOG.md
+++ /dev/null
@@ -1,26 +0,0 @@
-* `1.11.0-py36`: TensorFlow 1.11.0 wheels built with python 3.6
-* `1.12.0-py36`: TensorFlow 1.12.0 wheels with CUDA 9.2
-* `1.13.1-py36`: TensorFlow 1.13.1 wheels with CUDA 10.0
-* `1.13.1-py36-2`: TensorFlow 1.13.1 wheels with CUDA 10.0 and bump anaconda3 base image version to 5.3.0 
-* `1.13.1-py37`: TensorFlow 1.13.1 with Python 3.7.0 and bump anaconda3 base image version to 5.3.0 
-* `1.13.1-py37-2`: TensorFlow 1.13.1 with Python 3.7.3
-* `1.14.0-py36`: TensorFlow 1.14.0 with Python 3.6
-* `2.0.0-rc1-py36`: TensorFlow 2.0.0 RC1 with Python 3.6
-* `2.0.0-py36`: TensorFlow 2.0.0 with Python 3.6
-* `2.1.0-rc0-py36`: TensorFlow 2.1.0-rc0 with Python 3.6
-* `2.1.0-rc2-py36`: TensorFlow 2.1.0-rc2 with Python 3.6
-* `2.1.0-py36`: TensorFlow 2.1.0 with Python 3.6
-* `2.1.0-py36-2`: TensorFlow 2.1.0 with CUDA 10.1
-* `2.1.0-py37`: TensorFlow 2.1.0 with Python 3.7
-* `2.1.0-py37-2`: TensorFlow 2.1.0 with Python 3.7 & DLVM base image
-* `2.1.0-py37-3`: TensorFlow 2.1.0 with Python 3.7, DLVM base image, tensorflow-gcs-config
-* `2.2.0-py37`: TensorFlow 2.2.0 with Python 3.7
-* `2.2.0-py37-2`: TensorFlow 2.2.0 with Python 3.7 & TFA
-* `2.3.0-py37`: TensorFlow 2.3.0 with Python 3.7
-* `2.3.1-py37`: TensorFlow 2.3.1 with Python 3.7
-* `2.3.1-py37-2`: TensorFlow 2.3.1 & TFA 0.11 with Python 3.7
-* `2.4.0-py37`: TensorFlow 2.4.0 & Python 3.7 & TFA 0.12
-* `2.4.0-py37-2`: TensorFlow 2.4.0 & m61 base image
-* `2.4.0-py37-3`: TensorFlow 2.4.0 & 7.0 CUDA compute capability
-* `2.4.1-py37`: TensorFlow 2.4.1 & TFA 0.12.1
-* `2.4.1-py37-2`: TensorFlow 2.4.1 & CUDA 11.0
\ No newline at end of file
diff --git a/tensorflow-whl/Dockerfile b/tensorflow-whl/Dockerfile
deleted file mode 100644
index 0cc4140a..00000000
--- a/tensorflow-whl/Dockerfile
+++ /dev/null
@@ -1,131 +0,0 @@
-FROM nvidia/cuda:11.0-cudnn8-devel-ubuntu18.04 AS nvidia
-FROM gcr.io/deeplearning-platform-release/base-cpu:m73
-
-# Avoid interactive configuration prompts/dialogs during apt-get.
-ENV DEBIAN_FRONTEND=noninteractive
-
-# This is necessary to for apt to access HTTPS sources
-RUN apt-get update && \
-    apt-get install apt-transport-https
-
-# Cuda support
-COPY --from=nvidia /etc/apt/sources.list.d/cuda.list /etc/apt/sources.list.d/
-COPY --from=nvidia /etc/apt/sources.list.d/nvidia-ml.list /etc/apt/sources.list.d/
-COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
-# See b/142337634#comment28
-RUN sed -i 's/deb https:\/\/developer.download.nvidia.com/deb http:\/\/developer.download.nvidia.com/' /etc/apt/sources.list.d/*.list
-
-# Ensure the cuda libraries are compatible with the GPU image.
-# TODO(b/120050292): Use templating to keep in sync.
-ENV CUDA_MAJOR_VERSION=11
-ENV CUDA_MINOR_VERSION=0
-ENV CUDA_VERSION=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION
-LABEL com.nvidia.volumes.needed="nvidia_driver"
-LABEL com.nvidia.cuda.version="${CUDA_VERSION}"
-ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
-# The stub is useful to us both for built-time linking and run-time linking, on CPU-only systems.
-# When intended to be used with actual GPUs, make sure to (besides providing access to the host
-# CUDA user libraries, either manually or through the use of nvidia-docker) exclude them. One
-# convenient way to do so is to obscure its contents by a bind mount:
-#   docker run .... -v /non-existing-directory:/usr/local/cuda/lib64/stubs:ro ...
-ENV LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs:$LD_LIBRARY_PATH"
-ENV NVIDIA_VISIBLE_DEVICES=all
-ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
-ENV NVIDIA_REQUIRE_CUDA="cuda>=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION"
-RUN apt-get update && apt-get install -y --no-install-recommends \
-      cuda-cupti-$CUDA_VERSION \
-      cuda-cudart-$CUDA_VERSION \
-      cuda-cudart-dev-$CUDA_VERSION \
-      cuda-libraries-$CUDA_VERSION \
-      cuda-libraries-dev-$CUDA_VERSION \
-      cuda-nvml-dev-$CUDA_VERSION \
-      cuda-minimal-build-$CUDA_VERSION \
-      cuda-command-line-tools-$CUDA_VERSION \
-      libcudnn8=8.0.4.30-1+cuda$CUDA_VERSION \
-      libcudnn8-dev=8.0.4.30-1+cuda$CUDA_VERSION \
-      libnccl2=2.7.8-1+cuda$CUDA_VERSION \
-      libnccl-dev=2.7.8-1+cuda$CUDA_VERSION && \
-    ln -s /usr/local/cuda-$CUDA_VERSION /usr/local/cuda && \
-    ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
-
-# Use Bazelisk to ensure the proper bazel version is used.
-RUN cd /usr/local/src && \
-    wget --no-verbose "https://github.com/bazelbuild/bazelisk/releases/download/v1.7.4/bazelisk-linux-amd64" && \
-    mv bazelisk-linux-amd64 /usr/local/bin/bazel && \
-    chmod u+x /usr/local/bin/bazel
-
-# Fetch TensorFlow & install dependencies.
-RUN cd /usr/local/src && \
-    git clone https://github.com/tensorflow/tensorflow && \
-    cd tensorflow && \
-    git checkout tags/v2.4.1 && \
-    pip install keras_applications --no-deps && \
-    pip install keras_preprocessing --no-deps
-
-# Create a TensorFlow wheel for CPU
-RUN cd /usr/local/src/tensorflow && \
-    cat /dev/null | ./configure && \
-    bazel build --config=opt \
-                --config=v2 \
-                --cxxopt="-D_GLIBCXX_USE_CXX11_ABI=0" \
-                //tensorflow/tools/pip_package:build_pip_package && \
-    bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_cpu && \
-    bazel clean
-
-# Install TensorFlow CPU wheel which is required to build the GCS & addons libraries.
-RUN pip install /tmp/tensorflow_cpu/tensorflow*.whl
-
-# Build TensorFlow addons library against TensorFlow CPU.
-RUN cd /usr/local/src/ && \
-    git clone https://github.com/tensorflow/addons && \
-    cd addons && \
-    git checkout tags/v0.12.1 && \
-    python ./configure.py && \
-    bazel build --enable_runfiles build_pip_pkg && \
-    bazel-bin/build_pip_pkg /tmp/tfa_cpu && \
-    bazel clean
-
-# Build tensorflow_gcs_config library against TensorFlow CPU.
-ADD tensorflow-gcs-config /usr/local/src/tensorflow_gcs_config/
-RUN cd /usr/local/src/tensorflow_gcs_config && \
-    apt-get install -y libcurl4-openssl-dev && \
-    python setup.py bdist_wheel -d /tmp/tensorflow_gcs_config && \
-    bazel clean
-
-# Create a tensorflow wheel for GPU/cuda
-ENV TF_NEED_CUDA=1
-ENV TF_CUDA_VERSION=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION
-# 3.7 (K80), 6.0 (P100), 7.0 (V100), 7.5 (T4): https://developer.nvidia.com/cuda-gpus
-ENV TF_CUDA_COMPUTE_CAPABILITIES=3.7,6.0,7.0,7.5
-ENV TF_CUDNN_VERSION=8
-ENV TF_NCCL_VERSION=2
-ENV NCCL_INSTALL_PATH=/usr/
-
-RUN cd /usr/local/src/tensorflow && \
-    # TF_NCCL_INSTALL_PATH is used for both libnccl.so.2 and libnccl.h. Make sure they are both accessible from the same directory.
-    ln -s /usr/lib/x86_64-linux-gnu/libnccl.so.2 /usr/lib/ && \
-    cat /dev/null | ./configure && \
-    echo "/usr/local/cuda-${TF_CUDA_VERSION}/targets/x86_64-linux/lib/stubs" > /etc/ld.so.conf.d/cuda-stubs.conf && ldconfig && \
-    bazel build --config=opt \
-                --config=v2 \
-                --config=cuda \
-                --cxxopt="-D_GLIBCXX_USE_CXX11_ABI=0" \
-                //tensorflow/tools/pip_package:build_pip_package && \
-    rm /etc/ld.so.conf.d/cuda-stubs.conf && ldconfig && \
-    bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_gpu && \
-    bazel clean
-
-# Install TensorFlow GPU wheel which to build addons against.
-RUN pip install /tmp/tensorflow_gpu/tensorflow*.whl
-
-# Build TensorFlow addons library against TensorFlow GPU.
-ENV CUDA_TOOLKIT_PATH=/usr/local/cuda
-ENV CUDNN_INSTALL_PATH=/usr/lib/x86_64-linux-gnu
-RUN cd /usr/local/src/addons && \
-    python ./configure.py && \
-    bazel build --enable_runfiles build_pip_pkg && \
-    bazel-bin/build_pip_pkg /tmp/tfa_gpu && \
-    bazel clean
-
-# Print out the built .whl files
-RUN ls -R /tmp/tensorflow*
diff --git a/tensorflow-whl/Jenkinsfile b/tensorflow-whl/Jenkinsfile
deleted file mode 100644
index 9a9cbd60..00000000
--- a/tensorflow-whl/Jenkinsfile
+++ /dev/null
@@ -1,36 +0,0 @@
-pipeline {
-    agent { label 'ephemeral-linux-gpu' }
-    options {
-        // The Build GPU stage depends on the image from the Push CPU stage
-        disableConcurrentBuilds()
-    }
-    environment {
-        GIT_COMMIT_SHORT = sh(returnStdout: true, script:"git rev-parse --short=7 HEAD").trim()
-        GIT_COMMIT_SUBJECT = sh(returnStdout: true, script:"git log --format=%s -n 1 HEAD").trim()
-        GIT_COMMIT_AUTHOR = sh(returnStdout: true, script:"git log --format='%an' -n 1 HEAD").trim()
-        GIT_COMMIT_SUMMARY = "`<https://github.com/Kaggle/docker-python/commit/${GIT_COMMIT}|${GIT_COMMIT_SHORT}>` ${GIT_COMMIT_SUBJECT} - ${GIT_COMMIT_AUTHOR}"
-    }
-
-    stages {
-        stage('Build') {
-            steps {
-                sh '''#!/bin/bash
-                set -exo pipefail
-                
-                cd tensorflow-whl/
-                ./build | ts
-                '''
-            }
-        }
-        stage('Push') {
-            steps {
-                sh '''#!/bin/bash
-                set -exo pipefail
-
-                cd tensorflow-whl/
-                ./push ${GIT_BRANCH}-staging
-                '''
-            }
-        }
-    }
-}
diff --git a/tensorflow-whl/README.md b/tensorflow-whl/README.md
deleted file mode 100644
index 02c74d14..00000000
--- a/tensorflow-whl/README.md
+++ /dev/null
@@ -1,28 +0,0 @@
-# Build new Tensorflow wheels
-
-```
-./build
-```
-
-# Push the new wheels (Kaggle Engineers only)
-
-1. Add an entry in the [CHANGELOG](CHANGELOG.md) with an appropriate `LABEL`.
-2. Push the new image using the `LABEL` you picked above.
-
-    ```
-    ./push LABEL
-    ```
-
-# Use the new wheels
-
-Update the line below in the [CPU Dockerfile](../Dockerfile) and the [GPU Dockerfile](../gpu.Dockerfile) to use the new `LABEL`.
-
-To use wheels built locally:
-```
-FROM kaggle/python-tensorflow-whl as tensorflow_whl
-```
-
-To use our pre-built wheels:
-```
-FROM gcr.io/kaggle-images/python-tensorflow-whl:<LABEL> as tensorflow_whl
-```
diff --git a/tensorflow-whl/build b/tensorflow-whl/build
deleted file mode 100755
index c97c9022..00000000
--- a/tensorflow-whl/build
+++ /dev/null
@@ -1,42 +0,0 @@
-#!/bin/bash
-set -e
-
-usage() {
-cat << EOF
-Usage: $0 [OPTIONS]
-Build new Tensorflow wheels for use in the Kaggle Docker Python base images.
-
-Options:
-    -c, --use-cache Use layer cache when building a new image.
-EOF
-}
-
-CACHE_FLAG='--no-cache'
-IMAGE_TAG='kaggle/python-tensorflow-whl'
-
-while :; do
-    case "$1" in 
-        -h|--help)
-            usage
-            exit
-            ;;
-        -c|--use-cache)
-            CACHE_FLAG=''
-            ;;
-        -?*)
-            usage
-            printf 'ERROR: Unknown option: %s\n' "$1" >&2
-            exit
-            ;;
-        *)            
-            break
-    esac
-
-    shift
-done
-
-readonly CACHE_FLAG
-readonly IMAGE_TAG
-
-set -x
-docker build --rm --pull $CACHE_FLAG -t "$IMAGE_TAG" .
diff --git a/tensorflow-whl/push b/tensorflow-whl/push
deleted file mode 100755
index ee50baa2..00000000
--- a/tensorflow-whl/push
+++ /dev/null
@@ -1,48 +0,0 @@
-#!/bin/bash
-set -e
-
-usage() {
-cat << EOF
-Usage: $0 [LABEL]
-Push a newly-built image with the given LABEL to gcr.io and DockerHub.
-See CHANGELOG.md file for LABEL naming convention.
-EOF
-}
-
-set -x
-
-SOURCE_IMAGE='kaggle/python-tensorflow-whl'
-TARGET_IMAGE='gcr.io/kaggle-images/python-tensorflow-whl'
-
-while :; do
-    case "$1" in 
-        -h|--help)
-            usage
-            exit
-            ;;
-        -?*)
-            usage
-            printf 'ERROR: Unknown option: %s\n' "$1" >&2
-            exit
-            ;;
-        *)            
-            break
-    esac
-
-    shift
-done
-
-LABEL=$1
-
-if [[ -z "$LABEL" ]]; then
-    echo 'You must provide a label for the image'
-    exit 1
-fi
-
-readonly SOURCE_IMAGE
-readonly TARGET_IMAGE
-readonly LABEL
-
-set -x
-docker tag "$SOURCE_IMAGE:latest" "$TARGET_IMAGE:$LABEL"
-gcloud docker -- push "$TARGET_IMAGE:$LABEL"
diff --git a/tensorflow-whl/tensorflow-gcs-config/.gitignore b/tensorflow-whl/tensorflow-gcs-config/.gitignore
deleted file mode 100644
index 4e81a34b..00000000
--- a/tensorflow-whl/tensorflow-gcs-config/.gitignore
+++ /dev/null
@@ -1,12 +0,0 @@
-bazel-bin
-bazel-genfiles
-bazel-out
-bazel-tensorflow-gcs-config
-bazel-out
-bazel-testlogs
-build
-dist
-__pycache__
-*.egg-info
-*.so
-.bazelrc
diff --git a/tensorflow-whl/tensorflow-gcs-config/Dockerfile b/tensorflow-whl/tensorflow-gcs-config/Dockerfile
deleted file mode 100644
index b2ebce39..00000000
--- a/tensorflow-whl/tensorflow-gcs-config/Dockerfile
+++ /dev/null
@@ -1,62 +0,0 @@
-FROM tensorflow/tensorflow:custom-op
-
-ARG TF_VERSION
-ARG UID
-ARG GID
-ARG USERNAME="build"
-ARG CONDA_ADD_PACKAGES=""
-ARG BAZEL_VERSION=0.24.1
-ARG BAZEL_OS=linux
-
-RUN apt-get update && \
-    apt-get install -y \
-    git \
-    curl \
-    nano \
-    unzip \
-    ffmpeg \
-    dnsutils
-
-RUN groupadd -g ${GID} ${USERNAME}
-RUN useradd -d /home/${USERNAME} -ms /bin/bash -g ${USERNAME} -G root -u $UID ${USERNAME}
-USER ${USERNAME}
-
-WORKDIR /home/${USERNAME}
-
-RUN curl -sL https://github.com/bazelbuild/bazel/releases/download/${BAZEL_VERSION}/bazel-${BAZEL_VERSION}-installer-${BAZEL_OS}-x86_64.sh -o bazel-install.sh && \
-    bash -x bazel-install.sh --user && \
-    rm bazel-install.sh
-
-ARG CONDA_OS=Linux
-
-# Miniconda - Python 3.6, 64-bit, x86, latest
-RUN curl -sL https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -o mconda-install.sh && \
-    bash -x mconda-install.sh -b -p miniconda && \
-    rm mconda-install.sh
-
-ENV PATH="/home/${USERNAME}/miniconda/bin:$PATH"
-
-RUN conda create -y -q -n tensorflow-gcs-config python=3.6 ${CONDA_ADD_PACKAGES}
-
-RUN echo ". /miniconda/etc/profile.d/conda.sh" >> ~/.bashrc && \
-    echo "source activate tensorflow-gcs-config" >> ~/.bashrc
-
-ARG PIP_ADD_PACKAGES=""
-
-RUN /bin/bash -c "source activate tensorflow-gcs-config && python -m pip install -U \
-    pytest \
-    pylint \
-    boto3 \
-    twine \
-    google-cloud-pubsub==0.39.1 \
-    pandas \
-    fastavro \
-    'tensorflow>=2' \
-    ${PIP_ADD_PACKAGES} \
-    "
-
-# This just forces a new fetch of the latest TF binary if the version changes.
-RUN /bin/bash -c "echo ${TF_VERSION}"
-RUN /bin/bash -c "source activate tensorflow-gcs-config && python -m pip install -U 'tensorflow>=2'"
-
-RUN bazel help > /dev/null
diff --git a/tensorflow-whl/tensorflow-gcs-config/MANIFEST.in b/tensorflow-whl/tensorflow-gcs-config/MANIFEST.in
deleted file mode 100644
index 5318e0fa..00000000
--- a/tensorflow-whl/tensorflow-gcs-config/MANIFEST.in
+++ /dev/null
@@ -1,2 +0,0 @@
-include tensorflow_gcs_config/*.py
-include tensorflow_gcs_config/*.so
diff --git a/tensorflow-whl/tensorflow-gcs-config/README.md b/tensorflow-whl/tensorflow-gcs-config/README.md
deleted file mode 100644
index f19d77c9..00000000
--- a/tensorflow-whl/tensorflow-gcs-config/README.md
+++ /dev/null
@@ -1,10 +0,0 @@
-# Tensorflow GCS Configuration Ops
-
-This package provides TF 2.X compatible versions of the
-`tf.contrib.cloud.configure_gcs()` operations.
-
-This is a slightly modified and repackaged version of the GCS code in TensorFlow I/O,
-in particular the [tfio.gcs](https://www.tensorflow.org/io/api_docs/python/tfio/gcs) module.
-
-This is a copy of the internal source released as the
-[tensorflow-gcs-config](https://pypi.org/project/tensorflow-gcs-config/) package.
diff --git a/tensorflow-whl/tensorflow-gcs-config/WORKSPACE b/tensorflow-whl/tensorflow-gcs-config/WORKSPACE
deleted file mode 100644
index 4ec14723..00000000
--- a/tensorflow-whl/tensorflow-gcs-config/WORKSPACE
+++ /dev/null
@@ -1,44 +0,0 @@
-workspace(name = "tensorflow_gcs_config")
-
-load("//third_party/tensorflow:tf_configure.bzl", "tf_configure")
-load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
-
-tf_configure(
-    name = "local_config_tf",
-)
-
-http_archive(
-    name = "com_github_grpc_grpc",
-    sha256 = "1bf082fb3016154d3f806da8eb5876caf05743da4b2e8130fadd000df74b5bb6",
-    strip_prefix = "grpc-1.21.1",
-    urls = [
-        "https://mirror.bazel.build/github.com/grpc/grpc/archive/v1.21.1.tar.gz",
-        "https://github.com/grpc/grpc/archive/v1.21.1.tar.gz",
-    ],
-)
-
-# 3.7.1 with a fix to BUILD file
-http_archive(
-    name = "com_google_protobuf",
-    sha256 = "1c020fafc84acd235ec81c6aac22d73f23e85a700871466052ff231d69c1b17a",
-    strip_prefix = "protobuf-5902e759108d14ee8e6b0b07653dac2f4e70ac73",
-    urls = [
-        "http://mirror.tensorflow.org/github.com/protocolbuffers/protobuf/archive/5902e759108d14ee8e6b0b07653dac2f4e70ac73.tar.gz",
-        "https://github.com/protocolbuffers/protobuf/archive/5902e759108d14ee8e6b0b07653dac2f4e70ac73.tar.gz",
-    ],
-)
-
-load("@com_github_grpc_grpc//bazel:grpc_deps.bzl", "grpc_deps")
-
-grpc_deps()
-
-http_archive(
-    name = "jsoncpp_git",
-    build_file = "//third_party:jsoncpp.BUILD",
-    sha256 = "c49deac9e0933bcb7044f08516861a2d560988540b23de2ac1ad443b219afdb6",
-    strip_prefix = "jsoncpp-1.8.4",
-    urls = [
-        "http://mirror.tensorflow.org/github.com/open-source-parsers/jsoncpp/archive/1.8.4.tar.gz",
-        "https://github.com/open-source-parsers/jsoncpp/archive/1.8.4.tar.gz",
-    ],
-)
diff --git a/tensorflow-whl/tensorflow-gcs-config/build.py b/tensorflow-whl/tensorflow-gcs-config/build.py
deleted file mode 100644
index efe40577..00000000
--- a/tensorflow-whl/tensorflow-gcs-config/build.py
+++ /dev/null
@@ -1,98 +0,0 @@
-# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# =============================================================================
-
-from __future__ import print_function
-
-import os
-import re
-import sys
-import tensorflow as tf
-
-def write_config():
-  """Retrive compile and link information from tensorflow and write to .bazelrc."""
-
-  cflags = tf.sysconfig.get_compile_flags()
-
-  inc_regex = re.compile("^-I")
-  opt_regex = re.compile("^-D")
-
-  include_list = []
-  opt_list = []
-
-  for arg in cflags:
-    if inc_regex.match(arg):
-      include_list.append(arg)
-    elif opt_regex.match(arg):
-      opt_list.append(arg)
-    else:
-      print("WARNING: Unexpected cflag item {}".format(arg))
-
-
-  if len(include_list) != 1:
-    print("ERROR: Expected a single include directory in " +
-          "tf.sysconfig.get_compile_flags()")
-    exit(1)
-
-
-  library_regex = re.compile("^-l")
-  libdir_regex = re.compile("^-L")
-
-  library_list = []
-  libdir_list = []
-
-  lib = tf.sysconfig.get_link_flags()
-
-  for arg in lib:
-    if library_regex.match(arg):
-      library_list.append(arg)
-    elif libdir_regex.match(arg):
-      libdir_list.append(arg)
-    else:
-      print("WARNING: Unexpected link flag item {}".format(arg))
-
-  if len(library_list) != 1 or len(libdir_list) != 1:
-    print("ERROR: Expected exactly one lib and one libdir in" +
-          "tf.sysconfig.get_link_flags()")
-    exit(1)
-
-  try:
-
-    with open(".bazelrc", "w") as bazel_rc:
-      for opt in opt_list:
-        bazel_rc.write('build --copt="{}"\n'.format(opt))
-
-      bazel_rc.write('build --action_env TF_HEADER_DIR="{}"\n'
-                     .format(include_list[0][2:]))
-
-      bazel_rc.write('build --action_env TF_SHARED_LIBRARY_DIR="{}"\n'
-                     .format(libdir_list[0][2:]))
-      library_name = library_list[0][2:]
-      if library_name.startswith(":"):
-        library_name = library_name[1:]
-      else:
-        library_name = "lib" + library_name + ".so"
-      bazel_rc.write('build --action_env TF_SHARED_LIBRARY_NAME="{}"\n'
-                     .format(library_name))
-      bazel_rc.close()
-  except OSError:
-    print("ERROR: Writing .bazelrc")
-    exit(1)
-
-
-def compile_bazel():
-  write_config()
-
-  if os.system('rm -f tensorflow_gcs_config/*.so && bazel build -c dbg //tensorflow_gcs_config:_gcs_config_ops.so && cp bazel-bin/tensorflow_gcs_config/_gcs_config_ops.so tensorflow_gcs_config/') != 0:
-    raise Exception('Failed to build C extension.')
diff --git a/tensorflow-whl/tensorflow-gcs-config/setup.py b/tensorflow-whl/tensorflow-gcs-config/setup.py
deleted file mode 100644
index 6a2d59cf..00000000
--- a/tensorflow-whl/tensorflow-gcs-config/setup.py
+++ /dev/null
@@ -1,20 +0,0 @@
-from setuptools import setup
-
-
-setup_kwargs = {
-}
-
-from build import compile_bazel
-compile_bazel()
-
-setup(
-  name='tensorflow-gcs-config',
-  version='2.1.7',
-  description='TensorFlow operations for configuring access to GCS (Google Compute Storage) resources.',
-  long_description='TensorFlow operations for configuring access to GCS (Google Compute Storage) resources.',
-  author='Google, Inc.',
-  author_email=None,
-  url=None,
-  packages = ['tensorflow_gcs_config'],
-  include_package_data=True,
-)
diff --git a/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/BUILD b/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/BUILD
deleted file mode 100644
index ca6f8efc..00000000
--- a/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/BUILD
+++ /dev/null
@@ -1,22 +0,0 @@
-licenses(["notice"])  # Apache 2.0
-
-package(default_visibility = ["//visibility:public"])
-
-cc_binary(
-    name = "_gcs_config_ops.so",
-    srcs = [
-        "gcs_config_op_kernels.cc",
-        "gcs_config_ops.cc",
-    ],
-    copts = [
-        "-pthread",
-        "-std=c++11",
-        "-DNDEBUG",
-    ],
-    linkshared = 1,
-    deps = [
-        "@jsoncpp_git//:jsoncpp",
-        "@local_config_tf//:libtensorflow_framework",
-        "@local_config_tf//:tf_header_lib",
-    ],
-)
diff --git a/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/__init__.py b/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/__init__.py
deleted file mode 100644
index fe12cda4..00000000
--- a/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/__init__.py
+++ /dev/null
@@ -1,132 +0,0 @@
-# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-# ==============================================================================
-"""GCS file system configuration for TensorFlow."""
-
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
-import inspect
-import json
-import os
-import sys
-
-import tensorflow as tf
-from tensorflow import errors
-from tensorflow.python.framework import dtypes
-from tensorflow.python.framework import ops
-from tensorflow.python.ops import array_ops
-from tensorflow.python.training import training
-
-def _load_library(filename, lib="op"):
-  """_load_library"""
-  f = inspect.getfile(sys._getframe(1)) # pylint: disable=protected-access
-
-  # Construct filename
-  f = os.path.join(os.path.dirname(f), filename)
-  filenames = [f]
-
-  # Function to load the library, return True if file system library is loaded
-  load_fn = tf.load_op_library if lib == "op" \
-      else lambda f: tf.compat.v1.load_file_system_library(f) is None
-
-  # Try to load all paths for file, fail if none succeed
-  errs = []
-  for f in filenames:
-    try:
-      l = load_fn(f)
-      if l is not None:
-        return l
-    except errors.NotFoundError as e:
-      errs.append(str(e))
-  raise NotImplementedError(
-      "unable to open file: " +
-      "{}, from paths: {}\ncaused by: {}".format(filename, filenames, errs))
-
-_gcs_config_so = _load_library("_gcs_config_ops.so")
-gcs_configure_credentials = _gcs_config_so.gcs_configure_credentials
-gcs_configure_block_cache = _gcs_config_so.gcs_configure_block_cache
-
-class BlockCacheParams(object):  # pylint: disable=useless-object-inheritance
-  """BlockCacheParams is a struct used for configuring the GCS Block Cache."""
-
-  def __init__(self, block_size=None, max_bytes=None, max_staleness=None):
-    self._block_size = block_size or 128 * 1024 * 1024
-    self._max_bytes = max_bytes or 2 * self._block_size
-    self._max_staleness = max_staleness or 0
-
-  @property
-  def block_size(self):
-    return self._block_size
-
-  @property
-  def max_bytes(self):
-    return self._max_bytes
-
-  @property
-  def max_staleness(self):
-    return self._max_staleness
-
-def configure_gcs(credentials=None, block_cache=None, device=None):
-  """Configures the GCS file system for a given a session.
-
-  Warning: GCS `credentials` may be transmitted over the network unencrypted.
-  Please ensure that the network is trusted before using this function. For
-  users running code entirely within Google Cloud, your data is protected by
-  encryption in between data centers. For more information, please take a look
-  at https://cloud.google.com/security/encryption-in-transit/.
-
-  Args:
-    credentials: [Optional.] A JSON string
-    block_cache: [Optional.] A BlockCacheParams to configure the block cache .
-    device: [Optional.] The device to place the configure ops.
-  """
-  def configure(credentials, block_cache):
-    """Helper function to actually configure GCS."""
-    if credentials:
-      if isinstance(credentials, dict):
-        credentials = json.dumps(credentials)
-      creds = gcs_configure_credentials(credentials)
-    else:
-      creds = tf.constant(0)
-
-    if block_cache:
-      cache = gcs_configure_block_cache(
-          max_cache_size=block_cache.max_bytes,
-          block_size=block_cache.block_size,
-          max_staleness=block_cache.max_staleness)
-    else:
-      cache = tf.constant(0)
-
-    return tf.tuple([creds, cache])
-
-  if device:
-    with ops.device(device):
-      return configure(credentials, block_cache)
-  return configure(credentials, block_cache)
-
-def configure_gcs_from_colab_auth(device='/job:worker/replica:0/task:0/device:CPU:0'):
-  """ConfigureColabSession configures the GCS file system in Colab.
-
-  Args:
-  """
-  # Read from the application default credentials (adc).
-  adc_filename = os.environ.get(
-      'GOOGLE_APPLICATION_CREDENTIALS', '/content/adc.json')
-  with open(adc_filename) as f:
-    data = json.load(f)
-  return configure_gcs(credentials=data, device=device)
-
-
diff --git a/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/gcs_config_op_kernels.cc b/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/gcs_config_op_kernels.cc
deleted file mode 100644
index d5b1e992..00000000
--- a/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/gcs_config_op_kernels.cc
+++ /dev/null
@@ -1,218 +0,0 @@
-/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
-    http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
-==============================================================================*/
-
-#include <sstream>
-
-#include "include/json/json.h"
-#include "tensorflow/core/framework/op_kernel.h"
-#include "tensorflow/core/framework/tensor_shape.h"
-#include "tensorflow/core/platform/cloud/curl_http_request.h"
-#include "tensorflow/core/platform/cloud/gcs_file_system.h"
-#include "tensorflow/core/platform/cloud/oauth_client.h"
-#include "tensorflow/core/util/ptr_util.h"
-
-namespace tensorflow {
-namespace {
-
-// The default initial delay between retries with exponential backoff.
-constexpr int kInitialRetryDelayUsec = 500000;  // 0.5 sec
-
-// The minimum time delta between now and the token expiration time
-// for the token to be re-used.
-constexpr int kExpirationTimeMarginSec = 60;
-
-// The URL to retrieve the auth bearer token via OAuth with a refresh token.
-constexpr char kOAuthV3Url[] = "https://www.googleapis.com/oauth2/v3/token";
-
-// The URL to retrieve the auth bearer token via OAuth with a private key.
-constexpr char kOAuthV4Url[] = "https://www.googleapis.com/oauth2/v4/token";
-
-// The authentication token scope to request.
-constexpr char kOAuthScope[] = "https://www.googleapis.com/auth/cloud-platform";
-
-Status RetrieveGcsFs(OpKernelContext* ctx, RetryingGcsFileSystem** fs) {
-  DCHECK(fs != nullptr);
-  *fs = nullptr;
-
-  FileSystem* filesystem = nullptr;
-  TF_RETURN_IF_ERROR(
-      ctx->env()->GetFileSystemForFile("gs://fake/file.text", &filesystem));
-  if (filesystem == nullptr) {
-    return errors::FailedPrecondition("The GCS file system is not registered.");
-  }
-
-  *fs = dynamic_cast<RetryingGcsFileSystem*>(filesystem);
-  if (*fs == nullptr) {
-    return errors::Internal(
-        "The filesystem registered under the 'gs://' scheme was not a "
-        "tensorflow::RetryingGcsFileSystem*.");
-  }
-  return Status::OK();
-}
-
-template <typename T>
-Status ParseScalarArgument(OpKernelContext* ctx, StringPiece argument_name,
-                           T* output) {
-  const Tensor* argument_t;
-  TF_RETURN_IF_ERROR(ctx->input(argument_name, &argument_t));
-  if (!TensorShapeUtils::IsScalar(argument_t->shape())) {
-    return errors::InvalidArgument(argument_name, " must be a scalar");
-  }
-  *output = argument_t->scalar<T>()();
-  return Status::OK();
-}
-
-template <>
-Status ParseScalarArgument(OpKernelContext* ctx, StringPiece argument_name,
-                           std::string* output) {
-  const Tensor* argument_t;
-  TF_RETURN_IF_ERROR(ctx->input(argument_name, &argument_t));
-  if (!TensorShapeUtils::IsScalar(argument_t->shape())) {
-    return errors::InvalidArgument(argument_name, " must be a scalar");
-  }
-  const ::tensorflow::tstring& tstr = argument_t->scalar<::tensorflow::tstring>()();
-  output->assign(tstr.data(), tstr.size());
-  return Status::OK();
-}
-
-// GcsCredentialsOpKernel overrides the credentials used by the gcs_filesystem.
-class GcsCredentialsOpKernel : public OpKernel {
- public:
-  explicit GcsCredentialsOpKernel(OpKernelConstruction* ctx) : OpKernel(ctx) {}
-  void Compute(OpKernelContext* ctx) override {
-    // Get a handle to the GCS file system.
-    RetryingGcsFileSystem* gcs = nullptr;
-    OP_REQUIRES_OK(ctx, RetrieveGcsFs(ctx, &gcs));
-
-    std::string json_string;
-    OP_REQUIRES_OK(ctx, ParseScalarArgument<std::string>(ctx, "json", &json_string));
-
-    Json::Value json;
-    Json::Reader reader;
-    std::stringstream json_stream(json_string);
-    OP_REQUIRES(ctx, reader.parse(json_stream, json),
-                errors::InvalidArgument("Could not parse json: ", json_string));
-
-    OP_REQUIRES(
-        ctx, json.isMember("refresh_token") || json.isMember("private_key"),
-        errors::InvalidArgument("JSON format incompatible; did not find fields "
-                                "`refresh_token` or `private_key`."));
-
-    auto provider =
-        tensorflow::MakeUnique<ConstantAuthProvider>(json, ctx->env());
-
-    // Test getting a token
-    string dummy_token;
-    OP_REQUIRES_OK(ctx, provider->GetToken(&dummy_token));
-    OP_REQUIRES(ctx, !dummy_token.empty(),
-                errors::InvalidArgument(
-                    "Could not retrieve a token with the given credentials."));
-
-    // Set the provider.
-    gcs->underlying()->SetAuthProvider(std::move(provider));
-  }
-
- private:
-  class ConstantAuthProvider : public AuthProvider {
-   public:
-    ConstantAuthProvider(const Json::Value& json,
-                         std::unique_ptr<OAuthClient> oauth_client, Env* env,
-                         int64 initial_retry_delay_usec)
-        : json_(json),
-          oauth_client_(std::move(oauth_client)),
-          env_(env),
-          initial_retry_delay_usec_(initial_retry_delay_usec) {}
-
-    ConstantAuthProvider(const Json::Value& json, Env* env)
-        : ConstantAuthProvider(json, tensorflow::MakeUnique<OAuthClient>(), env,
-                               kInitialRetryDelayUsec) {}
-
-    ~ConstantAuthProvider() override {}
-
-    Status GetToken(string* token) override {
-      mutex_lock l(mu_);
-      const uint64 now_sec = env_->NowSeconds();
-
-      if (!current_token_.empty() &&
-          now_sec + kExpirationTimeMarginSec < expiration_timestamp_sec_) {
-        *token = current_token_;
-        return Status::OK();
-      }
-      if (json_.isMember("refresh_token")) {
-        TF_RETURN_IF_ERROR(oauth_client_->GetTokenFromRefreshTokenJson(
-            json_, kOAuthV3Url, &current_token_, &expiration_timestamp_sec_));
-      } else if (json_.isMember("private_key")) {
-        TF_RETURN_IF_ERROR(oauth_client_->GetTokenFromServiceAccountJson(
-            json_, kOAuthV4Url, kOAuthScope, &current_token_,
-            &expiration_timestamp_sec_));
-      } else {
-        return errors::FailedPrecondition(
-            "Unexpected content of the JSON credentials file.");
-      }
-
-      *token = current_token_;
-      return Status::OK();
-    }
-
-   private:
-    Json::Value json_;
-    std::unique_ptr<OAuthClient> oauth_client_;
-    Env* env_;
-
-    mutex mu_;
-    string current_token_ TF_GUARDED_BY(mu_);
-    uint64 expiration_timestamp_sec_ TF_GUARDED_BY(mu_) = 0;
-
-    // The initial delay for exponential backoffs when retrying failed calls.
-    const int64 initial_retry_delay_usec_;
-    TF_DISALLOW_COPY_AND_ASSIGN(ConstantAuthProvider);
-  };
-};
-
-REGISTER_KERNEL_BUILDER(Name("GcsConfigureCredentials").Device(DEVICE_CPU),
-                        GcsCredentialsOpKernel);
-
-class GcsBlockCacheOpKernel : public OpKernel {
- public:
-  explicit GcsBlockCacheOpKernel(OpKernelConstruction* ctx) : OpKernel(ctx) {}
-  void Compute(OpKernelContext* ctx) override {
-    // Get a handle to the GCS file system.
-    RetryingGcsFileSystem* gcs = nullptr;
-    OP_REQUIRES_OK(ctx, RetrieveGcsFs(ctx, &gcs));
-
-    size_t max_cache_size, block_size, max_staleness;
-    OP_REQUIRES_OK(ctx, ParseScalarArgument<size_t>(ctx, "max_cache_size",
-                                                    &max_cache_size));
-    OP_REQUIRES_OK(ctx,
-                   ParseScalarArgument<size_t>(ctx, "block_size", &block_size));
-    OP_REQUIRES_OK(
-        ctx, ParseScalarArgument<size_t>(ctx, "max_staleness", &max_staleness));
-
-    if (gcs->underlying()->block_size() == block_size &&
-        gcs->underlying()->max_bytes() == max_cache_size &&
-        gcs->underlying()->max_staleness() == max_staleness) {
-      LOG(INFO) << "Skipping resetting the GCS block cache.";
-      return;
-    }
-    gcs->underlying()->ResetFileBlockCache(block_size, max_cache_size,
-                                           max_staleness);
-  }
-};
-
-REGISTER_KERNEL_BUILDER(Name("GcsConfigureBlockCache").Device(DEVICE_CPU),
-                        GcsBlockCacheOpKernel);
-
-}  // namespace
-}  // namespace tensorflow
diff --git a/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/gcs_config_ops.cc b/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/gcs_config_ops.cc
deleted file mode 100644
index 3c4a5570..00000000
--- a/tensorflow-whl/tensorflow-gcs-config/tensorflow_gcs_config/gcs_config_ops.cc
+++ /dev/null
@@ -1,66 +0,0 @@
-/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
-
-Licensed under the Apache License, Version 2.0 (the "License");
-you may not use this file except in compliance with the License.
-You may obtain a copy of the License at
-
-    http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software
-distributed under the License is distributed on an "AS IS" BASIS,
-WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-See the License for the specific language governing permissions and
-limitations under the License.
-==============================================================================*/
-
-#include "tensorflow/core/framework/common_shape_fns.h"
-#include "tensorflow/core/framework/op.h"
-#include "tensorflow/core/framework/shape_inference.h"
-
-namespace tensorflow {
-
-using shape_inference::InferenceContext;
-
-REGISTER_OP("GcsConfigureCredentials")
-    .Input("json: string")
-    .SetShapeFn(shape_inference::NoOutputs)
-    .Doc(R"doc(
-Configures the credentials used by the GCS client of the local TF runtime.
-The json input can be of the format:
-1. Refresh Token:
-{
-  "client_id": "<redacted>",
-  "client_secret": "<redacted>",
-  "refresh_token: "<redacted>",
-  "type": "authorized_user",
-}
-2. Service Account:
-{
-  "type": "service_account",
-  "project_id": "<redacted>",
-  "private_key_id": "<redacted>",
-  "private_key": "------BEGIN PRIVATE KEY-----\n<REDACTED>\n-----END PRIVATE KEY------\n",
-  "client_email": "<REDACTED>@<REDACTED>.iam.gserviceaccount.com",
-  "client_id": "<REDACTED>",
-  # Some additional fields elided
-}
-Note the credentials established through this method are shared across all
-sessions run on this runtime.
-Note be sure to feed the inputs to this op to ensure the credentials are not
-stored in a constant op within the graph that might accidentally be checkpointed
-or in other ways be persisted or exfiltrated.
-)doc");
-
-REGISTER_OP("GcsConfigureBlockCache")
-    .Input("max_cache_size: uint64")
-    .Input("block_size: uint64")
-    .Input("max_staleness: uint64")
-    .SetShapeFn(shape_inference::NoOutputs)
-    .Doc(R"doc(
-Re-configures the GCS block cache with the new configuration values.
-If the values are the same as already configured values, this op is a no-op. If
-they are different, the current contents of the block cache is dropped, and a
-new block cache is created fresh.
-)doc");
-
-}  // namespace tensorflow
diff --git a/tensorflow-whl/tensorflow-gcs-config/third_party/BUILD b/tensorflow-whl/tensorflow-gcs-config/third_party/BUILD
deleted file mode 100644
index e69de29b..00000000
diff --git a/tensorflow-whl/tensorflow-gcs-config/third_party/jsoncpp.BUILD b/tensorflow-whl/tensorflow-gcs-config/third_party/jsoncpp.BUILD
deleted file mode 100644
index cf3cba05..00000000
--- a/tensorflow-whl/tensorflow-gcs-config/third_party/jsoncpp.BUILD
+++ /dev/null
@@ -1,37 +0,0 @@
-licenses(["unencumbered"])  # Public Domain or MIT
-
-exports_files(["LICENSE"])
-
-cc_library(
-    name = "jsoncpp",
-    srcs = [
-        "include/json/assertions.h",
-        "src/lib_json/json_reader.cpp",
-        "src/lib_json/json_tool.h",
-        "src/lib_json/json_value.cpp",
-        "src/lib_json/json_writer.cpp",
-    ],
-    hdrs = [
-        "include/json/autolink.h",
-        "include/json/config.h",
-        "include/json/features.h",
-        "include/json/forwards.h",
-        "include/json/json.h",
-        "include/json/reader.h",
-        "include/json/value.h",
-        "include/json/version.h",
-        "include/json/writer.h",
-    ],
-    copts = [
-        "-DJSON_USE_EXCEPTION=0",
-        "-DJSON_HAS_INT64",
-    ],
-    includes = ["include"],
-    visibility = ["//visibility:public"],
-    deps = [":private"],
-)
-
-cc_library(
-    name = "private",
-    textual_hdrs = ["src/lib_json/json_valueiterator.inl"],
-)
diff --git a/tensorflow-whl/tensorflow-gcs-config/third_party/tensorflow/BUILD b/tensorflow-whl/tensorflow-gcs-config/third_party/tensorflow/BUILD
deleted file mode 100644
index e69de29b..00000000
diff --git a/tensorflow-whl/tensorflow-gcs-config/third_party/tensorflow/BUILD.tpl b/tensorflow-whl/tensorflow-gcs-config/third_party/tensorflow/BUILD.tpl
deleted file mode 100644
index 3c78b1f2..00000000
--- a/tensorflow-whl/tensorflow-gcs-config/third_party/tensorflow/BUILD.tpl
+++ /dev/null
@@ -1,18 +0,0 @@
-package(default_visibility = ["//visibility:public"])
-
-cc_library(
-    name = "tf_header_lib",
-    hdrs = [":tf_header_include"],
-    includes = ["include"],
-    visibility = ["//visibility:public"],
-)
-
-cc_library(
-    name = "libtensorflow_framework",
-    srcs = [":libtensorflow_framework.so"],
-    #data = ["lib/libtensorflow_framework.so"],
-    visibility = ["//visibility:public"],
-)
-
-%{TF_HEADER_GENRULE}
-%{TF_SHARED_LIBRARY_GENRULE}
diff --git a/tensorflow-whl/tensorflow-gcs-config/third_party/tensorflow/tf_configure.bzl b/tensorflow-whl/tensorflow-gcs-config/third_party/tensorflow/tf_configure.bzl
deleted file mode 100644
index 49d82684..00000000
--- a/tensorflow-whl/tensorflow-gcs-config/third_party/tensorflow/tf_configure.bzl
+++ /dev/null
@@ -1,210 +0,0 @@
-"""Setup TensorFlow as external dependency"""
-
-_TF_HEADER_DIR = "TF_HEADER_DIR"
-_TF_SHARED_LIBRARY_DIR = "TF_SHARED_LIBRARY_DIR"
-_TF_SHARED_LIBRARY_NAME = "TF_SHARED_LIBRARY_NAME"
-
-def _tpl(repository_ctx, tpl, substitutions = {}, out = None):
-    if not out:
-        out = tpl
-    repository_ctx.template(
-        out,
-        Label("//third_party/tensorflow:%s.tpl" % tpl),
-        substitutions,
-    )
-
-def _fail(msg):
-    """Output failure message when auto configuration fails."""
-    red = "\033[0;31m"
-    no_color = "\033[0m"
-    fail("%sPython Configuration Error:%s %s\n" % (red, no_color, msg))
-
-def _is_windows(repository_ctx):
-    """Returns true if the host operating system is windows."""
-    os_name = repository_ctx.os.name.lower()
-    if os_name.find("windows") != -1:
-        return True
-    return False
-
-def _execute(
-        repository_ctx,
-        cmdline,
-        error_msg = None,
-        error_details = None,
-        empty_stdout_fine = False):
-    """Executes an arbitrary shell command.
-
-    Helper for executes an arbitrary shell command.
-
-    Args:
-      repository_ctx: the repository_ctx object.
-      cmdline: list of strings, the command to execute.
-      error_msg: string, a summary of the error if the command fails.
-      error_details: string, details about the error or steps to fix it.
-      empty_stdout_fine: bool, if True, an empty stdout result is fine, otherwise
-        it's an error.
-
-    Returns:
-      The result of repository_ctx.execute(cmdline).
-    """
-    result = repository_ctx.execute(cmdline)
-    if result.stderr or not (empty_stdout_fine or result.stdout):
-        _fail("\n".join([
-            error_msg.strip() if error_msg else "Repository command failed",
-            result.stderr.strip(),
-            error_details if error_details else "",
-        ]))
-    return result
-
-def _read_dir(repository_ctx, src_dir):
-    """Returns a string with all files in a directory.
-
-    Finds all files inside a directory, traversing subfolders and following
-    symlinks. The returned string contains the full path of all files
-    separated by line breaks.
-
-    Args:
-        repository_ctx: the repository_ctx object.
-        src_dir: directory to find files from.
-
-    Returns:
-        A string of all files inside the given dir.
-    """
-    if _is_windows(repository_ctx):
-        src_dir = src_dir.replace("/", "\\")
-        find_result = _execute(
-            repository_ctx,
-            ["cmd.exe", "/c", "dir", src_dir, "/b", "/s", "/a-d"],
-            empty_stdout_fine = True,
-        )
-
-        # src_files will be used in genrule.outs where the paths must
-        # use forward slashes.
-        result = find_result.stdout.replace("\\", "/")
-    else:
-        find_result = _execute(
-            repository_ctx,
-            ["find", src_dir, "-follow", "-type", "f"],
-            empty_stdout_fine = True,
-        )
-        result = find_result.stdout
-    return result
-
-def _genrule(genrule_name, command, outs):
-    """Returns a string with a genrule.
-
-    Genrule executes the given command and produces the given outputs.
-
-    Args:
-        genrule_name: A unique name for genrule target.
-        command: The command to run.
-        outs: A list of files generated by this rule.
-
-    Returns:
-        A genrule target.
-    """
-    return (
-        "genrule(\n" +
-        '    name = "' +
-        genrule_name + '",\n' +
-        "    outs = [\n" +
-        outs +
-        "\n    ],\n" +
-        '    cmd = """\n' +
-        command +
-        '\n   """,\n' +
-        ")\n"
-    )
-
-def _norm_path(path):
-    """Returns a path with '/' and remove the trailing slash."""
-    path = path.replace("\\", "/")
-    if path[-1] == "/":
-        path = path[:-1]
-    return path
-
-def _symlink_genrule_for_dir(
-        repository_ctx,
-        src_dir,
-        dest_dir,
-        genrule_name,
-        src_files = [],
-        dest_files = []):
-    """Returns a genrule to symlink(or copy if on Windows) a set of files.
-
-    If src_dir is passed, files will be read from the given directory; otherwise
-    we assume files are in src_files and dest_files.
-
-    Args:
-        repository_ctx: the repository_ctx object.
-        src_dir: source directory.
-        dest_dir: directory to create symlink in.
-        genrule_name: genrule name.
-        src_files: list of source files instead of src_dir.
-        dest_files: list of corresonding destination files.
-
-    Returns:
-        genrule target that creates the symlinks.
-    """
-    if src_dir != None:
-        src_dir = _norm_path(src_dir)
-        dest_dir = _norm_path(dest_dir)
-        files = "\n".join(sorted(_read_dir(repository_ctx, src_dir).splitlines()))
-
-        # Create a list with the src_dir stripped to use for outputs.
-        dest_files = files.replace(src_dir, "").splitlines()
-        src_files = files.splitlines()
-    command = []
-    outs = []
-    for i in range(len(dest_files)):
-        if dest_files[i] != "":
-            # If we have only one file to link we do not want to use the dest_dir, as
-            # $(@D) will include the full path to the file.
-            dest = "$(@D)/" + dest_dir + dest_files[i] if len(dest_files) != 1 else "$(@D)/" + dest_files[i]
-
-            # Copy the headers to create a sandboxable setup.
-            cmd = "cp -f"
-            command.append(cmd + ' "%s" "%s"' % (src_files[i], dest))
-            outs.append('        "' + dest_dir + dest_files[i] + '",')
-    genrule = _genrule(
-        genrule_name,
-        " && ".join(command),
-        "\n".join(outs),
-    )
-    return genrule
-
-def _tf_pip_impl(repository_ctx):
-    tf_header_dir = repository_ctx.os.environ[_TF_HEADER_DIR]
-    tf_header_rule = _symlink_genrule_for_dir(
-        repository_ctx,
-        tf_header_dir,
-        "include",
-        "tf_header_include",
-    )
-
-    tf_shared_library_dir = repository_ctx.os.environ[_TF_SHARED_LIBRARY_DIR]
-    tf_shared_library_name = repository_ctx.os.environ[_TF_SHARED_LIBRARY_NAME]
-    tf_shared_library_path = "%s/%s" % (tf_shared_library_dir, tf_shared_library_name)
-
-    tf_shared_library_rule = _symlink_genrule_for_dir(
-        repository_ctx,
-        None,
-        "",
-        "libtensorflow_framework.so",
-        [tf_shared_library_path],
-        ["libtensorflow_framework.so"],
-    )
-
-    _tpl(repository_ctx, "BUILD", {
-        "%{TF_HEADER_GENRULE}": tf_header_rule,
-        "%{TF_SHARED_LIBRARY_GENRULE}": tf_shared_library_rule,
-    })
-
-tf_configure = repository_rule(
-    implementation = _tf_pip_impl,
-    environ = [
-        _TF_HEADER_DIR,
-        _TF_SHARED_LIBRARY_DIR,
-        _TF_SHARED_LIBRARY_NAME,
-    ],
-)

From bc02b804fec991cf3fb466f11264e236f1c57c46 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 21 Jul 2021 20:22:43 -0700
Subject: [PATCH 1147/1660] No need to reinstall `tensorflow-gpu` (#1051)

The `tensorflow` package on `pip` supports both CPU & GPU.
---
 gpu.Dockerfile | 6 +-----
 1 file changed, 1 insertion(+), 5 deletions(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index e467089a..54c34a5e 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -12,8 +12,6 @@ COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
 # See b/142337634#comment28
 RUN sed -i 's/deb https:\/\/developer.download.nvidia.com/deb http:\/\/developer.download.nvidia.com/' /etc/apt/sources.list.d/*.list
 
-# Ensure the cuda libraries are compatible with the custom Tensorflow wheels.
-# TODO(b/120050292): Use templating to keep in sync or COPY installed binaries from it.
 ENV CUDA_MAJOR_VERSION=11
 ENV CUDA_MINOR_VERSION=0
 ENV CUDA_VERSION=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION
@@ -82,9 +80,7 @@ RUN pip install jax==0.2.16 jaxlib==0.1.68+cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VE
     /tmp/clean-layer.sh
 
 # Reinstall packages with a separate version for GPU support.
-RUN pip uninstall -y tensorflow && \
-    pip install tensorflow-gpu==2.4.1 && \
-    pip uninstall -y mxnet && \
+RUN pip uninstall -y mxnet && \
     pip install mxnet-cu$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \
     /tmp/clean-layer.sh
 

From 20bce439d1d2a71006cd849f81a34f1133bc768d Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 26 Jul 2021 09:28:47 -0700
Subject: [PATCH 1148/1660] Ensures tests run against the right image. (#1054)

---
 Jenkinsfile | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Jenkinsfile b/Jenkinsfile
index 8f0fe862..878a169e 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -43,6 +43,7 @@ pipeline {
           set -exo pipefail
 
           date
+          docker pull gcr.io/kaggle-images/python:${PRETEST_TAG}
           ./test --image gcr.io/kaggle-images/python:${PRETEST_TAG}
         '''
       }
@@ -85,6 +86,7 @@ pipeline {
           set -exo pipefail
 
           date
+          docker pull gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
           ./test --gpu --image gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
         '''
       }

From b7d1851837c1aba7add96fe3b2040632d2cff9f2 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 29 Jul 2021 15:24:13 -0700
Subject: [PATCH 1149/1660] Pin tensorflow_probability to work with TF 2.4.1
 (#1057)

* Pin tensorflow_probability to work with TF 2.4.1

The latest version of `tensorflow_probability` is not compatible with
our version of TF:

```
ImportError: This version of TensorFlow Probability requires TensorFlow
version >= 2.5; Detected an installation of version 2.4.1. Please
upgrade TensorFlow to proceed```

Pinning & adding a test to prevent regression.

http://b/194837139

* import tensorflow
---
 Dockerfile                           |  1 +
 tests/test_tensorflow_probability.py | 12 ++++++++++++
 2 files changed, 13 insertions(+)
 create mode 100644 tests/test_tensorflow_probability.py

diff --git a/Dockerfile b/Dockerfile
index 0df911e6..18489271 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -62,6 +62,7 @@ RUN pip install seaborn python-dateutil dask python-igraph && \
 RUN pip install tensorflow==${TENSORFLOW_VERSION} && \
     pip install tensorflow-gcs-config==2.4.0 && \
     pip install tensorflow-addons==0.12.1 && \
+    pip install tensorflow_probability==0.12.2 && \
     /tmp/clean-layer.sh
 
 RUN apt-get install -y libfreetype6-dev && \
diff --git a/tests/test_tensorflow_probability.py b/tests/test_tensorflow_probability.py
new file mode 100644
index 00000000..a16207ab
--- /dev/null
+++ b/tests/test_tensorflow_probability.py
@@ -0,0 +1,12 @@
+import unittest
+
+# b/194837139 importing tensorflow before tfp was trigerring an error. Adding this import to prevent regression.
+import tensorflow
+import tensorflow_probability as tfp
+
+
+class TestTensorFlowProbability(unittest.TestCase):
+    def test_distribution(self):
+        tfd = tfp.distributions
+        dist = tfd.Bernoulli(logits=[-1, 1, 1])
+        self.assertEqual('Bernoulli', dist.name)
\ No newline at end of file

From 47a089ab9f25aa153f4e3e15c11924030f3bd799 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 30 Jul 2021 08:57:34 -0700
Subject: [PATCH 1150/1660] Install torch from pip (#1058)

* Install torch packages from pip.

Conda takes too long to converge.

* Remove basemap

Basemap has been deprecated in favor of cartopy: https://github.com/matplotlib/basemap#basemap

* remove conda command for torch in gpu file

* specify cudatoolkit version

* Use * vars in torch version
---
 Dockerfile               | 9 ++++-----
 gpu.Dockerfile           | 9 ++++++---
 tests/test_matplotlib.py | 6 ------
 3 files changed, 10 insertions(+), 14 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 18489271..70bf1019 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -40,16 +40,15 @@ ENV PROJ_LIB=/opt/conda/share/proj
 # Using the same global consistent ordered list of channels
 RUN conda config --add channels conda-forge && \
     conda config --add channels nvidia && \
-    conda config --add channels pytorch && \
     conda config --add channels rapidsai && \
     # ^ rapidsai is the highest priority channel, default lowest, conda-forge 2nd lowest.
-    # b/182405233 pyproj 3.x is not compatible with basemap 1.2.1
     # b/161473620#comment7 pin required to prevent resolver from picking pysal 1.x., pysal 2.2.x is also downloading data on import.
-    conda install basemap cartopy imagemagick pyproj "pysal==2.1.0" && \
-    conda install "pytorch=1.7" "torchvision=0.8" "torchaudio=0.7" "torchtext=0.8" cpuonly && \
+    conda install cartopy=0.19 imagemagick=7.0 pyproj==3.1.0 pysal==2.1.0 && \
+    /tmp/clean-layer.sh
+
+RUN pip install torch==1.7.1+cpu torchvision==0.8.2+cpu torchaudio==0.7.2 torchtext==0.8.1 -f https://download.pytorch.org/whl/torch_stable.html && \
     /tmp/clean-layer.sh
 
-# The anaconda base image includes outdated versions of these packages. Update them to include the latest version.
 RUN pip install seaborn python-dateutil dask python-igraph && \
     pip install pyyaml joblib husl geopy ml_metrics mne pyshp && \
     pip install pandas && \
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 54c34a5e..76075cca 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -55,9 +55,12 @@ RUN apt-get install -y ocl-icd-libopencl1 clinfo libboost-all-dev && \
 # the remaining pip commands: https://www.anaconda.com/using-pip-in-a-conda-environment/
 # However, because this image is based on the CPU image, this isn't possible but better
 # to put them at the top of this file to minize conflicts.
-RUN conda remove --force -y pytorch torchvision torchaudio torchtext cpuonly && \
-    conda install "pytorch=1.7" "torchvision=0.8" "torchaudio=0.7" "torchtext=0.8" cudatoolkit=$CUDA_VERSION && \
-    conda install "cudf=21.06" "cuml=21.06" && \
+RUN conda install cudf=21.06 cuml=21.06 cudatoolkit=$CUDA_VERSION && \
+    /tmp/clean-layer.sh
+
+# Install Pytorch and torchvision with GPU support.
+# Note: torchtext and torchaudio do not require a separate GPU package.
+RUN pip install torch==1.7.1+cu$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION torchvision==0.8.2+cu$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION -f https://download.pytorch.org/whl/torch_stable.html && \
     /tmp/clean-layer.sh
 
 # Install LightGBM with GPU
diff --git a/tests/test_matplotlib.py b/tests/test_matplotlib.py
index b20b45d0..1cbc939a 100644
--- a/tests/test_matplotlib.py
+++ b/tests/test_matplotlib.py
@@ -4,15 +4,9 @@
 import matplotlib.pyplot as plt
 import numpy as np
 
-from mpl_toolkits.basemap import Basemap
-
 class TestMatplotlib(unittest.TestCase):
     def test_plot(self):
         plt.plot(np.linspace(0,1,50), np.random.rand(50))
         plt.savefig("plot1.png")
 
         self.assertTrue(os.path.isfile("plot1.png"))
-
-    def test_basemap(self):
-        m = Basemap(width=100,height=100,projection='aeqd', lat_0=40,lon_0=-105)
-        self.assertEqual(0, m.xmin)

From 68bb8b035ac4cbd1980060127d21c28cff3110d6 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 4 Aug 2021 09:25:28 -0700
Subject: [PATCH 1151/1660] Install blas & mkl (#1060)

* Install blas & mkl

These are necessary for the TPU pytorch XLA.
They also provide a significant perforance boost.

They used to be automatically included when we were installing torch
from conda but they are not now that we install torch from pip.

I added a test to prevent regression.

http://b/195414519

* separate conda commands to speed up resolution
---
 Dockerfile          | 1 +
 tests/test_numpy.py | 4 ++--
 2 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 70bf1019..907993dc 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -42,6 +42,7 @@ RUN conda config --add channels conda-forge && \
     conda config --add channels nvidia && \
     conda config --add channels rapidsai && \
     # ^ rapidsai is the highest priority channel, default lowest, conda-forge 2nd lowest.
+    conda install mkl blas && \
     # b/161473620#comment7 pin required to prevent resolver from picking pysal 1.x., pysal 2.2.x is also downloading data on import.
     conda install cartopy=0.19 imagemagick=7.0 pyproj==3.1.0 pysal==2.1.0 && \
     /tmp/clean-layer.sh
diff --git a/tests/test_numpy.py b/tests/test_numpy.py
index 2d809f7b..18f74b8c 100644
--- a/tests/test_numpy.py
+++ b/tests/test_numpy.py
@@ -12,5 +12,5 @@ def test_array(self):
     # Numpy must be linked to the MKL. (Occasionally, a third-party package will muck up the installation
     # and numpy will be reinstalled with an OpenBLAS backing.)
     def test_mkl(self):
-        # This will throw an exception if the MKL is not linked correctly.
-        get_info("blas_mkl")
+        # This will throw an exception if the MKL is not linked correctly or return an empty dict.
+        self.assertTrue(get_info("blas_mkl"))

From bc252a2265a16d2aadbfaac3d93d65f4b4ac83f6 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 25 Aug 2021 13:40:00 -0700
Subject: [PATCH 1152/1660] Upgrade base image to m78 (#1065)

http://b/197749395
---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 907993dc..860781d2 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,4 +1,4 @@
-ARG BASE_TAG=m75
+ARG BASE_TAG=m78
 ARG TENSORFLOW_VERSION=2.4.1
 
 FROM gcr.io/deeplearning-platform-release/base-cpu:${BASE_TAG}

From a4e6f95614a4433be7ee7a88cc22c9f58dd40da5 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 31 Aug 2021 13:18:59 -0700
Subject: [PATCH 1153/1660] Fix TLS error when upgrading nvidia packages.
 (#1068)

* Fix TLS error when upgrading nvidia packages.

We used to download the nvidia packages using apt over http. However
this is not supported anymore causing a build failure.

I found that `apt` was failing to connect over https to the NVIDIA
download servers because of the `libgnutls.so` included in conda which
was used in place of the default version when we updated the
`LD_LIBRARY_PATH`. See the bug below for full context.

http://b/197989446

* pin kornia and gensim
---
 Dockerfile     | 17 +++++++----------
 gpu.Dockerfile |  2 --
 2 files changed, 7 insertions(+), 12 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 860781d2..1aa55f47 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -11,13 +11,8 @@ ADD clean-layer.sh  /tmp/clean-layer.sh
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
 ADD patches/template_conf.json /opt/kaggle/conf.json
 
-# This is necessary for apt to access HTTPS sources
-RUN apt-get update && \
-    apt-get install apt-transport-https && \
-    /tmp/clean-layer.sh
-
-    # Use a fixed apt-get repo to stop intermittent failures due to flaky httpredir connections,
-    # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
+# Use a fixed apt-get repo to stop intermittent failures due to flaky httpredir connections,
+# as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
 RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \
     apt-get update && \
     # Needed by vowpalwabbit & lightGBM (GPU build).
@@ -30,7 +25,7 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     /tmp/clean-layer.sh
 
 # Make sure the dynamic linker finds the right libstdc++
-ENV LD_LIBRARY_PATH=/opt/conda/lib
+ENV LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu:/opt/conda/lib
 # b/128333086: Set PROJ_LIB to points to the proj4 cartographic library.
 ENV PROJ_LIB=/opt/conda/share/proj
 
@@ -67,7 +62,8 @@ RUN pip install tensorflow==${TENSORFLOW_VERSION} && \
 
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
-    pip install gensim && \
+    # b/198300835 kornia 4.1.0 is not compatible with our version of numpy.
+    pip install gensim==4.0.1 && \
     pip install textblob && \
     pip install wordcloud && \
     pip install xgboost && \
@@ -304,7 +300,8 @@ RUN pip install bleach && \
     pip install notebook && \
     pip install papermill && \
     pip install olefile && \
-    pip install kornia && \
+    # b/198300835 kornia 0.5.10 is not compatible with our version of numpy.
+    pip install kornia==0.5.8 && \
     pip install pandas_summary && \
     pip install pandocfilters && \
     pip install pexpect && \
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 76075cca..4db3b9b5 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -9,8 +9,6 @@ ADD clean-layer.sh  /tmp/clean-layer.sh
 COPY --from=nvidia /etc/apt/sources.list.d/cuda.list /etc/apt/sources.list.d/
 COPY --from=nvidia /etc/apt/sources.list.d/nvidia-ml.list /etc/apt/sources.list.d/
 COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
-# See b/142337634#comment28
-RUN sed -i 's/deb https:\/\/developer.download.nvidia.com/deb http:\/\/developer.download.nvidia.com/' /etc/apt/sources.list.d/*.list
 
 ENV CUDA_MAJOR_VERSION=11
 ENV CUDA_MINOR_VERSION=0

From 7cd9929144d0fcc344e3f72e73408025da57f712 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 1 Sep 2021 13:05:56 -0700
Subject: [PATCH 1154/1660] Use base image blas & pip pysal. (#1071)

- blas is already pre-installed on the image. Do not reinstall it from
conda.
- install pysal from pip
- removed pysal pin. Version 2.5.0 (latest) fixed the issue with remote datasets downloaded at import time (see b/161473620#comment7).
---
 Dockerfile          | 14 ++++++--------
 tests/test_pysal.py |  2 +-
 2 files changed, 7 insertions(+), 9 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 1aa55f47..188a4728 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -32,20 +32,18 @@ ENV PROJ_LIB=/opt/conda/share/proj
 # Install conda packages not available on pip.
 # When using pip in a conda environment, conda commands should be ran first and then
 # the remaining pip commands: https://www.anaconda.com/using-pip-in-a-conda-environment/
-# Using the same global consistent ordered list of channels
-RUN conda config --add channels conda-forge && \
-    conda config --add channels nvidia && \
+RUN conda config --add channels nvidia && \
     conda config --add channels rapidsai && \
-    # ^ rapidsai is the highest priority channel, default lowest, conda-forge 2nd lowest.
-    conda install mkl blas && \
-    # b/161473620#comment7 pin required to prevent resolver from picking pysal 1.x., pysal 2.2.x is also downloading data on import.
-    conda install cartopy=0.19 imagemagick=7.0 pyproj==3.1.0 pysal==2.1.0 && \
+    # Base image channel order: conda-forge (highest priority), defaults.
+    # End state: rapidsai (highest priority), nvidia, conda-forge, defaults.
+    conda install mkl cartopy=0.19 imagemagick=7.1 pyproj==3.1.0 && \
     /tmp/clean-layer.sh
 
 RUN pip install torch==1.7.1+cpu torchvision==0.8.2+cpu torchaudio==0.7.2 torchtext==0.8.1 -f https://download.pytorch.org/whl/torch_stable.html && \
     /tmp/clean-layer.sh
 
-RUN pip install seaborn python-dateutil dask python-igraph && \
+RUN pip install pysal && \
+    pip install seaborn python-dateutil dask python-igraph && \
     pip install pyyaml joblib husl geopy ml_metrics mne pyshp && \
     pip install pandas && \
     # Install h2o from source.
diff --git a/tests/test_pysal.py b/tests/test_pysal.py
index 7fe2ecab..476fe1dd 100644
--- a/tests/test_pysal.py
+++ b/tests/test_pysal.py
@@ -1,6 +1,6 @@
 import unittest
 
-from pysal.lib.weights import lat2W
+from libpysal.weights import lat2W
 
 class TestPysal(unittest.TestCase):
     def test_distance_band(self):

From 0e2265e50a814a462bc7239ecb6b0bcbf23cd352 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 2 Sep 2021 09:07:18 -0700
Subject: [PATCH 1155/1660] Upgrade JAX (#1072)

- Use new pip install syntax.
- The proper version of jaxlib is installed based on the version of jax.
---
 Dockerfile     | 2 +-
 gpu.Dockerfile | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 188a4728..010b48d9 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -400,7 +400,7 @@ RUN pip install flashtext && \
     pip install pycrypto && \
     pip install easyocr && \
     # Keep JAX version in sync with GPU image.
-    pip install jax==0.2.16 jaxlib==0.1.68 && \
+    pip install jax[cpu]==0.2.19 && \
     # ipympl adds interactive widget support for matplotlib
     pip install ipympl==0.7.0 && \
     pip install pandarallel && \
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 4db3b9b5..8f6903e1 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -77,7 +77,7 @@ RUN pip uninstall -y lightgbm && \
     /tmp/clean-layer.sh
 
 # Install JAX (Keep JAX version in sync with CPU image)
-RUN pip install jax==0.2.16 jaxlib==0.1.68+cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION -f https://storage.googleapis.com/jax-releases/jax_releases.html && \
+RUN pip install jax[cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION]==0.2.19 -f https://storage.googleapis.com/jax-releases/jax_releases.html && \
     /tmp/clean-layer.sh
 
 # Reinstall packages with a separate version for GPU support.

From eba9a4ddf356f3f40ac1646798fc66ac2e974071 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 2 Sep 2021 13:11:12 -0700
Subject: [PATCH 1156/1660] Pin pytorch-lightning & torchmetrics. (#1073)

Latest versions causing the following error at runtime:

```
...
  File "/opt/conda/lib/python3.7/site-packages/torchmetrics/utilities/imports.py", line 33, in _module_available
    return find_spec(module_path) is not None
  File "/opt/conda/lib/python3.7/importlib/util.py", line 114, in find_spec
    raise ValueError('{}.__spec__ is None'.format(name))
ValueError: transformers.__spec__ is None
```

Also, remove /opt/conda/lib from LD_LIBRARY_PATH only when fetching
packages over https using apt.

Otherwise, this is causing an issue with scipy which expects a different
version of glibc.

http://b/198635596
---
 Dockerfile     |  6 ++++--
 gpu.Dockerfile | 13 ++++++++-----
 2 files changed, 12 insertions(+), 7 deletions(-)

diff --git a/Dockerfile b/Dockerfile
index 010b48d9..230f5d13 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -25,7 +25,7 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     /tmp/clean-layer.sh
 
 # Make sure the dynamic linker finds the right libstdc++
-ENV LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu:/opt/conda/lib
+ENV LD_LIBRARY_PATH=/opt/conda/lib
 # b/128333086: Set PROJ_LIB to points to the proj4 cartographic library.
 ENV PROJ_LIB=/opt/conda/share/proj
 
@@ -391,7 +391,9 @@ RUN pip install flashtext && \
     pip install tensorflow-datasets && \
     pip install pydub && \
     pip install pydegensac && \
-    pip install pytorch-lightning && \
+    # b/198635596 latest versions of torchmetrics & pytorch-lightning are failing at runtime.
+    pip install torchmetrics==0.5.0 && \
+    pip install pytorch-lightning==1.4.4 && \
     pip install datatable && \
     pip install sympy && \
     # flask is used by agents in the simulation competitions.
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index 8f6903e1..a6d6af2c 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -21,11 +21,8 @@ ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/bin:${PATH}
 # CUDA user libraries, either manually or through the use of nvidia-docker) exclude them. One
 # convenient way to do so is to obscure its contents by a bind mount:
 #   docker run .... -v /non-existing-directory:/usr/local/cuda/lib64/stubs:ro ...
-ENV LD_LIBRARY_PATH_NO_STUBS="/usr/local/nvidia/lib64:/usr/local/cuda/lib64:$LD_LIBRARY_PATH"
-ENV LD_LIBRARY_PATH="/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs:$LD_LIBRARY_PATH"
-ENV NVIDIA_VISIBLE_DEVICES=all
-ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
-ENV NVIDIA_REQUIRE_CUDA="cuda>=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION"
+# b/197989446#comment7 libgnutls version at /opt/conda/lib causes apt to fail to fetch packages using https URLs.
+ENV LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu
 RUN apt-get update && apt-get install -y --no-install-recommends \
       cuda-cupti-$CUDA_VERSION \
       cuda-cudart-$CUDA_VERSION \
@@ -43,6 +40,12 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 && \
     /tmp/clean-layer.sh
 
+ENV LD_LIBRARY_PATH_NO_STUBS="/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/opt/conda/lib"
+ENV LD_LIBRARY_PATH="/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs:/opt/conda/lib"
+ENV NVIDIA_VISIBLE_DEVICES=all
+ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
+ENV NVIDIA_REQUIRE_CUDA="cuda>=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION"
+
 # Install OpenCL & libboost (required by LightGBM GPU version)
 RUN apt-get install -y ocl-icd-libopencl1 clinfo libboost-all-dev && \
     mkdir -p /etc/OpenCL/vendors && \

From b58e00f4ef903abafb4b04b957744c4d07c9c551 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 3 Sep 2021 09:34:44 -0700
Subject: [PATCH 1157/1660] Upgrade cudf/cuml libraries. (#1066)

http://b/191699352
---
 gpu.Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/gpu.Dockerfile b/gpu.Dockerfile
index a6d6af2c..191d54a1 100644
--- a/gpu.Dockerfile
+++ b/gpu.Dockerfile
@@ -56,7 +56,7 @@ RUN apt-get install -y ocl-icd-libopencl1 clinfo libboost-all-dev && \
 # the remaining pip commands: https://www.anaconda.com/using-pip-in-a-conda-environment/
 # However, because this image is based on the CPU image, this isn't possible but better
 # to put them at the top of this file to minize conflicts.
-RUN conda install cudf=21.06 cuml=21.06 cudatoolkit=$CUDA_VERSION && \
+RUN conda install cudf=21.08 cuml=21.08 cudatoolkit=$CUDA_VERSION && \
     /tmp/clean-layer.sh
 
 # Install Pytorch and torchvision with GPU support.

From 760f3054faba5f49baf3cbb173d5777837cc854d Mon Sep 17 00:00:00 2001
From: Jirka Borovec <Borda@users.noreply.github.com>
Date: Thu, 23 Sep 2021 20:09:35 +0200
Subject: [PATCH 1158/1660] add GH templates (#1076)

---
 .github/ISSUE_TEMPLATE/bug_report.md      | 23 +++++++++++++++++++++++
 .github/ISSUE_TEMPLATE/feature_request.md | 19 +++++++++++++++++++
 .github/PULL_REQUEST_TEMPLATE.md          | 11 +++++++++++
 3 files changed, 53 insertions(+)
 create mode 100644 .github/ISSUE_TEMPLATE/bug_report.md
 create mode 100644 .github/ISSUE_TEMPLATE/feature_request.md
 create mode 100644 .github/PULL_REQUEST_TEMPLATE.md

diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md
new file mode 100644
index 00000000..e6990cd3
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/bug_report.md
@@ -0,0 +1,23 @@
+---
+name: Bug report
+about: Create a report to help us improve
+title: ''
+labels: bug, help wanted
+assignees: ''
+---
+
+## 🐛 Bug
+
+<!-- A clear and concise description of what the bug is. -->
+
+### To Reproduce
+
+<!-- FILL IN -->
+
+### Expected behavior
+
+<!-- FILL IN -->
+
+### Additional context
+
+<!-- Add any other context about the problem here. -->
diff --git a/.github/ISSUE_TEMPLATE/feature_request.md b/.github/ISSUE_TEMPLATE/feature_request.md
new file mode 100644
index 00000000..d999a7b8
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/feature_request.md
@@ -0,0 +1,19 @@
+---
+name: Feature request
+about: Suggest an idea for this project
+title: ''
+labels: enhancement
+assignees: ''
+---
+
+## 🚀 Feature
+
+<!-- A clear and concise description of the feature proposal -->
+
+### Motivation
+
+<!-- Please outline the motivation for the proposal. Is your feature request related to a problem? e.g., I'm always frustrated when [...]. If this is related to another GitHub issue, please link here too -->
+
+### Additional context
+
+<!-- Add any other context or screenshots about the feature request here. -->
diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md
new file mode 100644
index 00000000..03516138
--- /dev/null
+++ b/.github/PULL_REQUEST_TEMPLATE.md
@@ -0,0 +1,11 @@
+## What does this PR do?
+
+<!--
+Please include a summary of the change and which issue is fixed.
+Please also include relevant motivation and context.
+List any dependencies that are required for this change.
+
+If we didn't discuss your PR in Github issues there's a high chance it will not be merged.
+-->
+
+Fixes #\<issue_number>

From a6695cbfb6673b4c93f63ea5a8d294696cd00b5b Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 24 Sep 2021 11:06:20 -0700
Subject: [PATCH 1159/1660] Templatized build & start from TF 2.6 base image.
 (#1078)

* Templatize build & start from TF base image.

- Build CPU & GPU images in parallel (faster build time)
- The GPU image is no longer layers on top of the CPU image (small GPU
image, simpler because no need to install CUDA ourselves)
- Upgrade TensorFlow to 2.6

http://b/167268016

* remove base-tag, re-org Jenkinsfile

* fix jenkinsfile

* remove blank lines

* Increase GPU build time

* install torchaudio/torchtext on GPU build

* Turn off KMP_AFFINITY logs

* remove horovod

* Move uninstall statement after clean-layer.sh has been added

* remove uninstsall lightgbm statement for gpu now that it's templatized

* Remove CPU & GPU Dockerfiles

* Remove duplicated code & resolved TODO
---
 .gitignore                    |   3 +-
 Dockerfile => Dockerfile.tmpl | 110 +++++++++++++++++++------
 Jenkinsfile                   | 151 +++++++++++++++++-----------------
 build                         |  28 ++++---
 gpu.Dockerfile                | 104 -----------------------
 renderizer/Dockerfile         |  12 +++
 6 files changed, 191 insertions(+), 217 deletions(-)
 rename Dockerfile => Dockerfile.tmpl (86%)
 delete mode 100644 gpu.Dockerfile
 create mode 100644 renderizer/Dockerfile

diff --git a/.gitignore b/.gitignore
index 0d038d25..ef82380f 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,4 +1,5 @@
 *.pyc
 .idea/
 .vscode
-.mypy_cache
\ No newline at end of file
+.mypy_cache
+.generated
\ No newline at end of file
diff --git a/Dockerfile b/Dockerfile.tmpl
similarity index 86%
rename from Dockerfile
rename to Dockerfile.tmpl
index 230f5d13..c68e980d 100644
--- a/Dockerfile
+++ b/Dockerfile.tmpl
@@ -1,16 +1,26 @@
-ARG BASE_TAG=m78
-ARG TENSORFLOW_VERSION=2.4.1
-
-FROM gcr.io/deeplearning-platform-release/base-cpu:${BASE_TAG}
-
-# We need to redefine TENSORFLOW_VERSION here to get the default ARG value defined above the FROM instruction.
-# See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
-ARG TENSORFLOW_VERSION
+{{ if eq .Accelerator "gpu" }}
+FROM gcr.io/deeplearning-platform-release/tf2-gpu.2-6:m78
+ENV CUDA_MAJOR_VERSION=11
+ENV CUDA_MINOR_VERSION=0
+{{ else }}
+FROM gcr.io/deeplearning-platform-release/tf2-cpu.2-6:m78
+{{ end }}
+# Keep these variables in sync if base image is updated.
+ENV TENSORFLOW_VERSION=2.6.0
+# Disable pesky logs like: KMP_AFFINITY: pid 6121 tid 6121 thread 0 bound to OS proc set 0 
+# See: https://stackoverflow.com/questions/57385766/disable-tensorflow-log-information
+ENV KMP_WARNINGS=0
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
 ADD patches/template_conf.json /opt/kaggle/conf.json
 
+{{ if eq .Accelerator "gpu" }}
+# b/200968891 Keeps horovod once torch is upgraded.
+RUN pip uninstall -y horovod && \
+    /tmp/clean-layer.sh
+{{ end }}
+
 # Use a fixed apt-get repo to stop intermittent failures due to flaky httpredir connections,
 # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
 RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \
@@ -24,8 +34,6 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     apt-get install -y openssh-client && \
     /tmp/clean-layer.sh
 
-# Make sure the dynamic linker finds the right libstdc++
-ENV LD_LIBRARY_PATH=/opt/conda/lib
 # b/128333086: Set PROJ_LIB to points to the proj4 cartographic library.
 ENV PROJ_LIB=/opt/conda/share/proj
 
@@ -39,8 +47,71 @@ RUN conda config --add channels nvidia && \
     conda install mkl cartopy=0.19 imagemagick=7.1 pyproj==3.1.0 && \
     /tmp/clean-layer.sh
 
+{{ if eq .Accelerator "gpu" }}
+RUN conda install cudf=21.08 cuml=21.08 cudatoolkit=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION && \
+    /tmp/clean-layer.sh
+{{ end }}
+
+# Install PyTorch
+{{ if eq .Accelerator "gpu" }}
+RUN pip install torch==1.7.1+cu$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION torchvision==0.8.2+cu$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION torchaudio==0.7.2 torchtext==0.8.1 -f https://download.pytorch.org/whl/torch_stable.html && \
+    /tmp/clean-layer.sh
+{{ else }}
 RUN pip install torch==1.7.1+cpu torchvision==0.8.2+cpu torchaudio==0.7.2 torchtext==0.8.1 -f https://download.pytorch.org/whl/torch_stable.html && \
     /tmp/clean-layer.sh
+{{ end }}
+
+# Install LightGBM
+ENV LIGHTGBM_VERSION=3.2.1
+{{ if eq .Accelerator "gpu" }}
+# Install OpenCL & libboost (required by LightGBM GPU version)
+RUN apt-get install -y ocl-icd-libopencl1 clinfo libboost-all-dev && \
+    mkdir -p /etc/OpenCL/vendors && \
+    echo "libnvidia-opencl.so.1" > /etc/OpenCL/vendors/nvidia.icd && \
+    cd /usr/local/src && \
+    git clone --recursive https://github.com/microsoft/LightGBM && \
+    cd LightGBM && \
+    git checkout tags/v$LIGHTGBM_VERSION && \
+    mkdir build && cd build && \
+    cmake -DUSE_GPU=1 -DOpenCL_LIBRARY=/usr/local/cuda/lib64/libOpenCL.so -DOpenCL_INCLUDE_DIR=/usr/local/cuda/include/ .. && \
+    make -j$(nproc) && \
+    cd /usr/local/src/LightGBM/python-package && \
+    python setup.py install --precompile && \
+    /tmp/clean-layer.sh
+{{ else }}
+RUN pip install lightgbm==$LIGHTGBM_VERSION && \
+    /tmp/clean-layer.sh
+{{ end }}
+
+# Install JAX
+ENV JAX_VERSION=0.2.19
+{{ if eq .Accelerator "gpu" }}
+RUN pip install jax[cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION]==$JAX_VERSION -f https://storage.googleapis.com/jax-releases/jax_releases.html && \
+    /tmp/clean-layer.sh
+{{ else }}
+RUN pip install jax[cpu]==$JAX_VERSION && \
+    /tmp/clean-layer.sh
+{{ end }}
+
+# Install mxnet
+{{ if eq .Accelerator "gpu" }}
+RUN pip install mxnet-cu$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \
+    /tmp/clean-layer.sh
+{{ else }}
+RUN pip install mxnet && \
+    /tmp/clean-layer.sh
+{{ end}}
+
+# Install GPU specific packages
+{{ if eq .Accelerator "gpu" }}
+# Install GPU-only packages
+RUN pip install pycuda && \
+    pip install pynvrtc && \
+    # b/190622765 latest version is causing issue. nnabla fixed it in https://github.com/sony/nnabla/issues/892, waiting for new release before we can remove this pin.
+    pip install pynvml==8.0.4 && \
+    pip install nnabla-ext-cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \
+    /tmp/clean-layer.sh
+{{ end }}
 
 RUN pip install pysal && \
     pip install seaborn python-dateutil dask python-igraph && \
@@ -50,12 +121,8 @@ RUN pip install pysal && \
     # Use `conda install -c h2oai h2o` once Python 3.7 version is released to conda.
     apt-get install -y default-jre-headless && \
     pip install -f https://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html h2o && \
-    /tmp/clean-layer.sh
-
-RUN pip install tensorflow==${TENSORFLOW_VERSION} && \
-    pip install tensorflow-gcs-config==2.4.0 && \
-    pip install tensorflow-addons==0.12.1 && \
-    pip install tensorflow_probability==0.12.2 && \
+    pip install tensorflow-gcs-config==2.6.0 && \
+    pip install tensorflow-addons==0.14.0 && \
     /tmp/clean-layer.sh
 
 RUN apt-get install -y libfreetype6-dev && \
@@ -65,10 +132,7 @@ RUN apt-get install -y libfreetype6-dev && \
     pip install textblob && \
     pip install wordcloud && \
     pip install xgboost && \
-    # Pinned to match GPU version. Update version together.
-    pip install lightgbm==3.2.1 && \
     pip install pydot && \
-    pip install keras-tuner && \
     pip install flake8 && \
     # Pinned because it breaks theano test with the latest version (b/178107003).
     pip install theano-pymc==1.0.11 && \
@@ -99,7 +163,6 @@ RUN apt-get install -y libfreetype6-dev && \
     /tmp/clean-layer.sh
 
 RUN pip install ibis-framework && \
-    pip install mxnet && \
     pip install gluonnlp && \
     pip install gluoncv && \
     /tmp/clean-layer.sh
@@ -384,11 +447,6 @@ RUN pip install flashtext && \
     pip install geopandas && \
     pip install nnabla && \
     pip install vowpalwabbit && \
-    # papermill can replace nbconvert for executing notebooks
-    pip install cloud-tpu-client && \
-    # b/188429515#comment7 tensorflow-cloud >= 0.1.14 installs tensorflow-transform which install apache-beam which downgrades the google.cloud library to 1.x.
-    pip install tensorflow-cloud==0.1.13 && \
-    pip install tensorflow-datasets && \
     pip install pydub && \
     pip install pydegensac && \
     # b/198635596 latest versions of torchmetrics & pytorch-lightning are failing at runtime.
@@ -401,8 +459,6 @@ RUN pip install flashtext && \
     # pycrypto is used by competitions team.
     pip install pycrypto && \
     pip install easyocr && \
-    # Keep JAX version in sync with GPU image.
-    pip install jax[cpu]==0.2.19 && \
     # ipympl adds interactive widget support for matplotlib
     pip install ipympl==0.7.0 && \
     pip install pandarallel && \
diff --git a/Jenkinsfile b/Jenkinsfile
index 878a169e..41aa6a90 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -20,46 +20,7 @@ pipeline {
   }
 
   stages {
-    stage('Docker CPU Build') {
-      options {
-        timeout(time: 120, unit: 'MINUTES')
-      }
-      steps {
-        sh '''#!/bin/bash
-          set -exo pipefail
-
-          ./build | ts
-          ./push ${PRETEST_TAG}
-        '''
-      }
-    }
-
-    stage('Test CPU Image') {
-      options {
-        timeout(time: 5, unit: 'MINUTES')
-      }
-      steps {
-        sh '''#!/bin/bash
-          set -exo pipefail
-
-          date
-          docker pull gcr.io/kaggle-images/python:${PRETEST_TAG}
-          ./test --image gcr.io/kaggle-images/python:${PRETEST_TAG}
-        '''
-      }
-    }
-    
-    stage('Docker GPU Build') {
-      // A GPU is not required to build this image. However, in our current setup,
-      // the default runtime is set to nvidia (as opposed to runc) and there
-      // is no option to specify a runtime for the `docker build` command.
-      //
-      // TODO(rosbo) don't set `nvidia` as the default runtime and use the
-      // `--runtime=nvidia` flag for the `docker run` command when GPU support is needed.
-      agent { label 'ephemeral-linux-gpu' }
-      options {
-        timeout(time: 60, unit: 'MINUTES')
-      }
+    stage('Clean Images') {
       steps {
         sh '''#!/bin/bash
           set -exo pipefail
@@ -70,51 +31,93 @@ pipeline {
           # will untag the previously built image which is safe to do. Builds for a single branch are performed
           # serially.
           docker image prune -f
-          ./build --gpu --base-image-tag ${PRETEST_TAG} | ts
-          ./push --gpu ${PRETEST_TAG}
         '''
       }
     }
+    stage('Build/Test/Diff') {
+      parallel {
+        stage('CPU') {
+          stages {
+            stage('Build CPU Image') {
+              options {
+                timeout(time: 120, unit: 'MINUTES')
+              }
+              steps {
+                sh '''#!/bin/bash
+                  set -exo pipefail
 
-    stage('Test GPU Image') {
-      agent { label 'ephemeral-linux-gpu' }
-      options {
-        timeout(time: 20, unit: 'MINUTES')
-      }
-      steps {
-        sh '''#!/bin/bash
-          set -exo pipefail
-
-          date
-          docker pull gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
-          ./test --gpu --image gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
-        '''
-      }
-    }
+                  ./build | ts
+                  ./push ${PRETEST_TAG}
+                '''
+              }
+            }
+            stage('Test CPU Image') {
+              options {
+                timeout(time: 5, unit: 'MINUTES')
+              }
+              steps {
+                sh '''#!/bin/bash
+                  set -exo pipefail
 
-    stage('Package Versions') {
-      parallel {
-        stage('CPU Diff') {
-          steps {
-            sh '''#!/bin/bash
-            set -exo pipefail
+                  date
+                  docker pull gcr.io/kaggle-images/python:${PRETEST_TAG}
+                  ./test --image gcr.io/kaggle-images/python:${PRETEST_TAG}
+                '''
+              }
+            }
+            stage('Diff CPU image') {
+              steps {
+                sh '''#!/bin/bash
+                set -exo pipefail
 
-            docker pull gcr.io/kaggle-images/python:${PRETEST_TAG}
-            ./diff --target gcr.io/kaggle-images/python:${PRETEST_TAG}
-          '''
+                docker pull gcr.io/kaggle-images/python:${PRETEST_TAG}
+                ./diff --target gcr.io/kaggle-images/python:${PRETEST_TAG}
+              '''
+              }
+            }
           }
         }
-        stage('GPU Diff') {
+        stage('GPU') {
           agent { label 'ephemeral-linux-gpu' }
-          steps {
-            sh '''#!/bin/bash
-            set -exo pipefail
+          stages {      
+            stage('Build GPU Image') {
+              options {
+                timeout(time: 120, unit: 'MINUTES')
+              }
+              steps {
+                sh '''#!/bin/bash
+                  set -exo pipefail
+                  ./build --gpu | ts
+                  ./push --gpu ${PRETEST_TAG}
+                '''
+              }
+            }
+            stage('Test GPU Image') {
+              options {
+                timeout(time: 20, unit: 'MINUTES')
+              }
+              steps {
+                sh '''#!/bin/bash
+                  set -exo pipefail
+
+                  date
+                  docker pull gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
+                  ./test --gpu --image gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
+                '''
+              }
+            }
+            stage('Diff GPU Image') {
+              steps {
+                sh '''#!/bin/bash
+                set -exo pipefail
 
-            docker pull gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
-            ./diff --gpu --target gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
-          '''
+                docker pull gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
+                ./diff --gpu --target gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
+              '''
+              }
+            }
           }
-        }
+        } 
       }
     }
 
diff --git a/build b/build
index ae9a9779..4fc9c8e5 100755
--- a/build
+++ b/build
@@ -9,12 +9,12 @@ Build a new Python Docker image.
 Options:
     -g, --gpu                 Build an image with GPU support.
     -c, --use-cache           Use layer cache when building a new image.
-    -b, --base-image-tag TAG  Base image tag. Defaults to value defined in DOCKERFILE.
 EOF
 }
 
 CACHE_FLAG='--no-cache'
 DOCKERFILE='Dockerfile'
+ACCELERATOR='none'
 IMAGE_TAG='kaggle/python-build'
 BUILD_ARGS=''
 
@@ -27,19 +27,11 @@ while :; do
         -g|--gpu)
             IMAGE_TAG='kaggle/python-gpu-build'
             DOCKERFILE='gpu.Dockerfile'
+            ACCELERATOR='gpu'
             ;;
         -c|--use-cache)
             CACHE_FLAG=''
             ;;
-        -b|--base-image-tag)
-            if [[ -z $2 ]]; then
-                usage
-                printf 'ERROR: No TAG specified after the %s flag.\n' "$1" >&2
-                exit
-            fi
-            BUILD_ARGS="--build-arg BASE_TAG=$2"
-            shift # skip the flag value
-            ;;
         -?*)
             usage
             printf 'ERROR: Unknown option: %s\n' "$1" >&2
@@ -57,8 +49,22 @@ BUILD_ARGS+=" --build-arg BUILD_DATE=$(date '+%Y%m%d-%H%M%S')"
 
 readonly CACHE_FLAG
 readonly DOCKERFILE
+readonly ACCELERATOR
 readonly IMAGE_TAG
 readonly BUILD_ARGS
 
+
+SRCDIR=$(dirname "${BASH_SOURCE[0]}")
+DOCKERFILE_OUTDIR="${SRCDIR}/.generated"
+mkdir -p $DOCKERFILE_OUTDIR
+DOCKERFILE_PATH="$DOCKERFILE_OUTDIR/$DOCKERFILE"
+
+# Generate Dockerfile from template.
+echo "Generating Dockerfile from template..."
+docker run --rm -v $PWD:/input:ro gcr.io/kaggle-images/go-renderizer:latest --ACCELERATOR=$ACCELERATOR /input/Dockerfile.tmpl > $DOCKERFILE_PATH
+echo "==================== $DOCKERFILE START ===================="
+cat $DOCKERFILE_PATH
+echo "==================== $DOCKERFILE  END  ===================="
+
 set -x
-docker build --rm --pull $CACHE_FLAG -t "$IMAGE_TAG" -f "$DOCKERFILE" $BUILD_ARGS .
+docker build --rm --pull $CACHE_FLAG -t "$IMAGE_TAG" -f "$DOCKERFILE_PATH" $BUILD_ARGS .
diff --git a/gpu.Dockerfile b/gpu.Dockerfile
deleted file mode 100644
index 191d54a1..00000000
--- a/gpu.Dockerfile
+++ /dev/null
@@ -1,104 +0,0 @@
-ARG BASE_TAG=staging
-
-FROM nvidia/cuda:11.0-cudnn8-devel-ubuntu18.04 AS nvidia
-FROM gcr.io/kaggle-images/python:${BASE_TAG}
-
-ADD clean-layer.sh  /tmp/clean-layer.sh
-
-# Cuda support
-COPY --from=nvidia /etc/apt/sources.list.d/cuda.list /etc/apt/sources.list.d/
-COPY --from=nvidia /etc/apt/sources.list.d/nvidia-ml.list /etc/apt/sources.list.d/
-COPY --from=nvidia /etc/apt/trusted.gpg /etc/apt/trusted.gpg.d/cuda.gpg
-
-ENV CUDA_MAJOR_VERSION=11
-ENV CUDA_MINOR_VERSION=0
-ENV CUDA_VERSION=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION
-LABEL com.nvidia.volumes.needed="nvidia_driver"
-LABEL com.nvidia.cuda.version="${CUDA_VERSION}"
-ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/bin:${PATH}
-# The stub is useful to us both for built-time linking and run-time linking, on CPU-only systems.
-# When intended to be used with actual GPUs, make sure to (besides providing access to the host
-# CUDA user libraries, either manually or through the use of nvidia-docker) exclude them. One
-# convenient way to do so is to obscure its contents by a bind mount:
-#   docker run .... -v /non-existing-directory:/usr/local/cuda/lib64/stubs:ro ...
-# b/197989446#comment7 libgnutls version at /opt/conda/lib causes apt to fail to fetch packages using https URLs.
-ENV LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu
-RUN apt-get update && apt-get install -y --no-install-recommends \
-      cuda-cupti-$CUDA_VERSION \
-      cuda-cudart-$CUDA_VERSION \
-      cuda-cudart-dev-$CUDA_VERSION \
-      cuda-libraries-$CUDA_VERSION \
-      cuda-libraries-dev-$CUDA_VERSION \
-      cuda-nvml-dev-$CUDA_VERSION \
-      cuda-minimal-build-$CUDA_VERSION \
-      cuda-command-line-tools-$CUDA_VERSION \
-      libcudnn8=8.0.4.30-1+cuda$CUDA_VERSION \
-      libcudnn8-dev=8.0.4.30-1+cuda$CUDA_VERSION \
-      libnccl2=2.7.8-1+cuda$CUDA_VERSION \
-      libnccl-dev=2.7.8-1+cuda$CUDA_VERSION && \
-    ln -s /usr/local/cuda-$CUDA_VERSION /usr/local/cuda && \
-    ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 && \
-    /tmp/clean-layer.sh
-
-ENV LD_LIBRARY_PATH_NO_STUBS="/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/opt/conda/lib"
-ENV LD_LIBRARY_PATH="/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/cuda/lib64/stubs:/opt/conda/lib"
-ENV NVIDIA_VISIBLE_DEVICES=all
-ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
-ENV NVIDIA_REQUIRE_CUDA="cuda>=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION"
-
-# Install OpenCL & libboost (required by LightGBM GPU version)
-RUN apt-get install -y ocl-icd-libopencl1 clinfo libboost-all-dev && \
-    mkdir -p /etc/OpenCL/vendors && \
-    echo "libnvidia-opencl.so.1" > /etc/OpenCL/vendors/nvidia.icd && \
-    /tmp/clean-layer.sh
-
-# When using pip in a conda environment, conda commands should be ran first and then
-# the remaining pip commands: https://www.anaconda.com/using-pip-in-a-conda-environment/
-# However, because this image is based on the CPU image, this isn't possible but better
-# to put them at the top of this file to minize conflicts.
-RUN conda install cudf=21.08 cuml=21.08 cudatoolkit=$CUDA_VERSION && \
-    /tmp/clean-layer.sh
-
-# Install Pytorch and torchvision with GPU support.
-# Note: torchtext and torchaudio do not require a separate GPU package.
-RUN pip install torch==1.7.1+cu$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION torchvision==0.8.2+cu$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION -f https://download.pytorch.org/whl/torch_stable.html && \
-    /tmp/clean-layer.sh
-
-# Install LightGBM with GPU
-RUN pip uninstall -y lightgbm && \
-    cd /usr/local/src && \
-    git clone --recursive https://github.com/microsoft/LightGBM && \
-    cd LightGBM && \
-    git checkout tags/v3.2.1 && \
-    mkdir build && cd build && \
-    cmake -DUSE_GPU=1 -DOpenCL_LIBRARY=/usr/local/cuda/lib64/libOpenCL.so -DOpenCL_INCLUDE_DIR=/usr/local/cuda/include/ .. && \
-    make -j$(nproc) && \
-    cd /usr/local/src/LightGBM/python-package && \
-    python setup.py install --precompile && \
-    mkdir -p /etc/OpenCL/vendors && \
-    echo "libnvidia-opencl.so.1" > /etc/OpenCL/vendors/nvidia.icd && \
-    /tmp/clean-layer.sh
-
-# Install JAX (Keep JAX version in sync with CPU image)
-RUN pip install jax[cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION]==0.2.19 -f https://storage.googleapis.com/jax-releases/jax_releases.html && \
-    /tmp/clean-layer.sh
-
-# Reinstall packages with a separate version for GPU support.
-RUN pip uninstall -y mxnet && \
-    pip install mxnet-cu$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \
-    /tmp/clean-layer.sh
-
-# Install GPU-only packages
-RUN pip install pycuda && \
-    pip install pynvrtc && \
-    # b/190622765 latest version is causing issue. nnabla fixed it in https://github.com/sony/nnabla/issues/892, waiting for new release before we can remove this pin.
-    pip install pynvml==8.0.4 && \
-    pip install nnabla-ext-cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \
-    /tmp/clean-layer.sh
-
-# Re-add TensorBoard Jupyter extension patch
-# b/139212522 re-enable TensorBoard once solution for slowdown is implemented.
-# ADD patches/tensorboard/notebook.py /opt/conda/lib/python3.7/site-packages/tensorboard/notebook.py
-
-# Remove the CUDA stubs.
-ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH_NO_STUBS"
diff --git a/renderizer/Dockerfile b/renderizer/Dockerfile
new file mode 100644
index 00000000..9faac229
--- /dev/null
+++ b/renderizer/Dockerfile
@@ -0,0 +1,12 @@
+# Image used to generate the Dockerfiles from a Go text template.
+#
+# Build:
+#   docker build --rm --pull -t gcr.io/kaggle-images/go-renderizer -f Dockerfile .
+#
+# Push:
+#   docker push gcr.io/kaggle-images/go-renderizer
+FROM golang:1.17
+
+RUN go install github.com/gomatic/renderizer/v2/cmd/renderizer@v2.0.13
+
+ENTRYPOINT ["renderizer"]
\ No newline at end of file

From 8682b1bbc2588490e00353b1f31c8aa930e0f8eb Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 24 Sep 2021 17:03:46 -0700
Subject: [PATCH 1160/1660] Add vaex package. (#1079)

Fixes #928. Original PR is #1031 (thanks @JovanVeljanoski)

- Includes a test.

http://b/191699352
---
 Dockerfile.tmpl    |  1 +
 tests/test_vaex.py | 10 ++++++++++
 2 files changed, 11 insertions(+)
 create mode 100644 tests/test_vaex.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index c68e980d..7c501db5 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -407,6 +407,7 @@ RUN pip install bleach && \
 
 RUN pip install flashtext && \
     pip install wandb && \
+    pip install vaex && \
     pip install marisa-trie && \
     pip install pyemd && \
     pip install pyupset && \
diff --git a/tests/test_vaex.py b/tests/test_vaex.py
new file mode 100644
index 00000000..b64061b0
--- /dev/null
+++ b/tests/test_vaex.py
@@ -0,0 +1,10 @@
+import unittest
+
+import vaex
+
+class TestVaex(unittest.TestCase):
+    def test_read_csv(self):
+        df = vaex.read_csv("/input/tests/data/train.csv")
+
+        self.assertEqual((100, 785), df.shape)
+        self.assertEqual(10, df['label'].nunique())
\ No newline at end of file

From 1ac609f05da58d4e49d2b84831bae3866b833a2a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 24 Sep 2021 17:04:31 -0700
Subject: [PATCH 1161/1660] Upgrade base image to m80 (#1080)

---
 Dockerfile.tmpl | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 7c501db5..b4f7acd4 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -1,9 +1,9 @@
 {{ if eq .Accelerator "gpu" }}
-FROM gcr.io/deeplearning-platform-release/tf2-gpu.2-6:m78
+FROM gcr.io/deeplearning-platform-release/tf2-gpu.2-6:m80
 ENV CUDA_MAJOR_VERSION=11
 ENV CUDA_MINOR_VERSION=0
 {{ else }}
-FROM gcr.io/deeplearning-platform-release/tf2-cpu.2-6:m78
+FROM gcr.io/deeplearning-platform-release/tf2-cpu.2-6:m80
 {{ end }}
 # Keep these variables in sync if base image is updated.
 ENV TENSORFLOW_VERSION=2.6.0

From 81896a57af8f78125c42c0fae93fbc0e4bc5aaf7 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 28 Sep 2021 17:32:26 -0700
Subject: [PATCH 1162/1660] Remove gcloud installation. (#1081)

gcloud is already part of the base image.
---
 Dockerfile.tmpl | 8 --------
 1 file changed, 8 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index b4f7acd4..8f2c9fd3 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -508,14 +508,6 @@ RUN pip install --upgrade dask && \
     ln -sf /usr/lib/x86_64-linux-gnu/libpixman-1.so.0.34.0 /opt/conda/lib/libpixman-1.so.0.38.0 && \
     /tmp/clean-layer.sh
 
-# gcloud SDK https://cloud.google.com/sdk/docs/quickstart-debian-ubuntu
-RUN echo "deb [signed-by=/usr/share/keyrings/cloud.google.gpg] http://packages.cloud.google.com/apt cloud-sdk main" \
-    | tee -a /etc/apt/sources.list.d/google-cloud-sdk.list && \
-    curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | \
-    apt-key --keyring /usr/share/keyrings/cloud.google.gpg add - && \
-    apt-get update -y && apt-get install google-cloud-sdk -y && \
-    /tmp/clean-layer.sh
-
 # Add BigQuery client proxy settings
 ENV PYTHONUSERBASE "/root/.local"
 ADD patches/kaggle_gcp.py /root/.local/lib/python3.7/site-packages/kaggle_gcp.py

From 7cf514a4f2000c76ce423e4c86944e0c3e16d593 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 29 Sep 2021 11:51:31 -0700
Subject: [PATCH 1163/1660] Remove unnecessary packages (#1082)

---
 Dockerfile.tmpl | 10 ++++------
 1 file changed, 4 insertions(+), 6 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 8f2c9fd3..40427969 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -25,11 +25,9 @@ RUN pip uninstall -y horovod && \
 # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
 RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \
     apt-get update && \
-    # Needed by vowpalwabbit & lightGBM (GPU build).
-    # https://github.com/VowpalWabbit/vowpal_wabbit/wiki/Python#installing
+    # Needed by lightGBM (GPU build)
     # https://lightgbm.readthedocs.io/en/latest/GPU-Tutorial.html#build-lightgbm
-    apt-get install -y build-essential unzip cmake && \
-    apt-get install -y libboost-dev libboost-program-options-dev libboost-system-dev libboost-thread-dev libboost-math-dev libboost-test-dev libboost-python-dev libboost-filesystem-dev zlib1g-dev && \
+    apt-get install -y build-essential unzip cmake libboost-dev libboost-system-dev libboost-filesystem-dev && \
     # b/182601974: ssh client was removed from the base image but is required for packages such as stable-baselines.
     apt-get install -y openssh-client && \
     /tmp/clean-layer.sh
@@ -64,8 +62,8 @@ RUN pip install torch==1.7.1+cpu torchvision==0.8.2+cpu torchaudio==0.7.2 torcht
 # Install LightGBM
 ENV LIGHTGBM_VERSION=3.2.1
 {{ if eq .Accelerator "gpu" }}
-# Install OpenCL & libboost (required by LightGBM GPU version)
-RUN apt-get install -y ocl-icd-libopencl1 clinfo libboost-all-dev && \
+# Install OpenCL (required by LightGBM GPU version)
+RUN apt-get install -y ocl-icd-libopencl1 clinfo && \
     mkdir -p /etc/OpenCL/vendors && \
     echo "libnvidia-opencl.so.1" > /etc/OpenCL/vendors/nvidia.icd && \
     cd /usr/local/src && \

From e34c886a130d334e587e07305657d344e7cb0065 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 4 Oct 2021 18:04:50 -0700
Subject: [PATCH 1164/1660] Build torch and lightgbm from source. (#1083)

* Build torch and lightgbm from source.

Fixes #984, #1059

Introduced a new "architecture" to easily build packages from source in
the main build only if needed (i.e. if the base image or the package
version has changed).

This enable us to:
- Upgrade PyTorch which doesn't have a wheel for 1.9.1 and CUDA 11. This prevented us
from upgrading torch for ~6 months.
- Move the lightgbm gpu source build to this architecture to shave ~3
minutes off the build time.

http://b/181966788

* Add /usr/local/cuda/compat to LD_LIBRARY_PATH

* Build torchaudio and torchtext from source

* Increase torch build timeout
---
 Dockerfile.tmpl              |  50 ++++++++----
 Jenkinsfile                  |  38 ++++++++-
 build                        |   8 +-
 config.txt                   |   9 +++
 packages/README.md           |   0
 packages/build_package       | 150 +++++++++++++++++++++++++++++++++++
 packages/lightgbm.Dockerfile |  29 +++++++
 packages/torch.Dockerfile    |  79 ++++++++++++++++++
 8 files changed, 344 insertions(+), 19 deletions(-)
 create mode 100644 config.txt
 create mode 100644 packages/README.md
 create mode 100755 packages/build_package
 create mode 100644 packages/lightgbm.Dockerfile
 create mode 100644 packages/torch.Dockerfile

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 40427969..92eeca84 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -1,12 +1,33 @@
+ARG BASE_IMAGE_REPO
+ARG BASE_IMAGE_TAG
+ARG CPU_BASE_IMAGE_NAME
+ARG GPU_BASE_IMAGE_NAME
+ARG LIGHTGBM_VERSION
+ARG TORCH_VERSION
+ARG TORCHAUDIO_VERSION
+ARG TORCHTEXT_VERSION
+ARG TORCHVISION_VERSION
+
 {{ if eq .Accelerator "gpu" }}
-FROM gcr.io/deeplearning-platform-release/tf2-gpu.2-6:m80
+FROM gcr.io/kaggle-images/python-lightgbm-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${LIGHTGBM_VERSION} AS lightgbm_whl
+FROM gcr.io/kaggle-images/python-torch-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${TORCH_VERSION} AS torch_whl
+FROM ${BASE_IMAGE_REPO}/${GPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
 ENV CUDA_MAJOR_VERSION=11
 ENV CUDA_MINOR_VERSION=0
 {{ else }}
-FROM gcr.io/deeplearning-platform-release/tf2-cpu.2-6:m80
+FROM ${BASE_IMAGE_REPO}/${CPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
 {{ end }}
 # Keep these variables in sync if base image is updated.
 ENV TENSORFLOW_VERSION=2.6.0
+
+# We need to redefine the ARG here to get the ARG value defined above the FROM instruction.
+# See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
+ARG LIGHTGBM_VERSION
+ARG TORCH_VERSION
+ARG TORCHAUDIO_VERSION
+ARG TORCHTEXT_VERSION
+ARG TORCHVISION_VERSION
+
 # Disable pesky logs like: KMP_AFFINITY: pid 6121 tid 6121 thread 0 bound to OS proc set 0 
 # See: https://stackoverflow.com/questions/57385766/disable-tensorflow-log-information
 ENV KMP_WARNINGS=0
@@ -15,6 +36,9 @@ ADD clean-layer.sh  /tmp/clean-layer.sh
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
 ADD patches/template_conf.json /opt/kaggle/conf.json
 
+# Adds the libcuda.so to LD_LIBRARY_PATH which is necessary for the GPU mxnet package.
+ENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/compat
+
 {{ if eq .Accelerator "gpu" }}
 # b/200968891 Keeps horovod once torch is upgraded.
 RUN pip uninstall -y horovod && \
@@ -52,29 +76,24 @@ RUN conda install cudf=21.08 cuml=21.08 cudatoolkit=$CUDA_MAJOR_VERSION.$CUDA_MI
 
 # Install PyTorch
 {{ if eq .Accelerator "gpu" }}
-RUN pip install torch==1.7.1+cu$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION torchvision==0.8.2+cu$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION torchaudio==0.7.2 torchtext==0.8.1 -f https://download.pytorch.org/whl/torch_stable.html && \
+COPY --from=torch_whl /tmp/whl/*.whl /tmp/torch/
+RUN pip install /tmp/torch/*.whl && \
+    rm -rf /tmp/torch && \
     /tmp/clean-layer.sh
 {{ else }}
-RUN pip install torch==1.7.1+cpu torchvision==0.8.2+cpu torchaudio==0.7.2 torchtext==0.8.1 -f https://download.pytorch.org/whl/torch_stable.html && \
+RUN pip install torch==$TORCH_VERSION+cpu torchvision==$TORCHVISION_VERSION+cpu torchaudio==$TORCHAUDIO_VERSION torchtext==$TORCHTEXT_VERSION -f https://download.pytorch.org/whl/torch_stable.html && \
     /tmp/clean-layer.sh
 {{ end }}
 
 # Install LightGBM
-ENV LIGHTGBM_VERSION=3.2.1
 {{ if eq .Accelerator "gpu" }}
+COPY --from=lightgbm_whl /tmp/whl/*.whl /tmp/lightgbm/
 # Install OpenCL (required by LightGBM GPU version)
 RUN apt-get install -y ocl-icd-libopencl1 clinfo && \
     mkdir -p /etc/OpenCL/vendors && \
     echo "libnvidia-opencl.so.1" > /etc/OpenCL/vendors/nvidia.icd && \
-    cd /usr/local/src && \
-    git clone --recursive https://github.com/microsoft/LightGBM && \
-    cd LightGBM && \
-    git checkout tags/v$LIGHTGBM_VERSION && \
-    mkdir build && cd build && \
-    cmake -DUSE_GPU=1 -DOpenCL_LIBRARY=/usr/local/cuda/lib64/libOpenCL.so -DOpenCL_INCLUDE_DIR=/usr/local/cuda/include/ .. && \
-    make -j$(nproc) && \
-    cd /usr/local/src/LightGBM/python-package && \
-    python setup.py install --precompile && \
+    pip install /tmp/lightgbm/*.whl && \
+    rm -rf /tmp/lightgbm && \
     /tmp/clean-layer.sh
 {{ else }}
 RUN pip install lightgbm==$LIGHTGBM_VERSION && \
@@ -386,8 +405,7 @@ RUN pip install bleach && \
     pip install widgetsnbextension && \
     pip install pyarrow && \
     pip install feather-format && \
-    # fastai >= 2.3.1 upgrades pytorch/torchvision. upgrade of pytorch will be handled in b/181966788
-    pip install fastai==2.2.7 && \
+    pip install fastai && \
     pip install allennlp && \
     # https://b.corp.google.com/issues/184685619#comment9: 3.9.0 is causing a major performance degradation with spacy 2.3.5
     pip install importlib-metadata==3.4.0 && \
diff --git a/Jenkinsfile b/Jenkinsfile
index 41aa6a90..99ad30c2 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -34,6 +34,42 @@ pipeline {
         '''
       }
     }
+    stage('Pre-build Packages from Source') {
+      parallel {
+        stage('torch') {
+          options {
+            timeout(time: 180, unit: 'MINUTES')
+          }
+          steps {
+            sh '''#!/bin/bash
+              set -exo pipefail
+              source config.txt
+              cd packages/
+              ./build_package --base-image $BASE_IMAGE_REPO/$GPU_BASE_IMAGE_NAME:$BASE_IMAGE_TAG \
+                --package torch \
+                --version $TORCH_VERSION \
+                --build-arg TORCHAUDIO_VERSION=$TORCHAUDIO_VERSION \
+                --build-arg TORCHTEXT_VERSION=$TORCHTEXT_VERSION \
+                --build-arg TORCHVISION_VERSION=$TORCHVISION_VERSION \
+                --push
+            '''
+          }
+        }
+        stage('lightgbm') {
+          options {
+            timeout(time: 10, unit: 'MINUTES')
+          }
+          steps {
+            sh '''#!/bin/bash
+              set -exo pipefail
+              source config.txt
+              cd packages/
+              ./build_package --base-image $BASE_IMAGE_REPO/$GPU_BASE_IMAGE_NAME:$BASE_IMAGE_TAG --package lightgbm --version $LIGHTGBM_VERSION --push
+            '''
+          }
+        }
+      }
+    }
     stage('Build/Test/Diff') {
       parallel {
         stage('CPU') {
@@ -79,7 +115,7 @@ pipeline {
         }
         stage('GPU') {
           agent { label 'ephemeral-linux-gpu' }
-          stages {      
+          stages {  
             stage('Build GPU Image') {
               options {
                 timeout(time: 120, unit: 'MINUTES')
diff --git a/build b/build
index 4fc9c8e5..9b20f2dc 100755
--- a/build
+++ b/build
@@ -47,14 +47,18 @@ done
 BUILD_ARGS+=" --build-arg GIT_COMMIT=$(git rev-parse HEAD)"
 BUILD_ARGS+=" --build-arg BUILD_DATE=$(date '+%Y%m%d-%H%M%S')"
 
+# Read build args from config.txt file.
+SRCDIR=$(dirname "${BASH_SOURCE[0]}")
+for l in `cat ${SRCDIR}/config.txt`; do
+    BUILD_ARGS+=" --build-arg $l"
+done
+
 readonly CACHE_FLAG
 readonly DOCKERFILE
 readonly ACCELERATOR
 readonly IMAGE_TAG
 readonly BUILD_ARGS
 
-
-SRCDIR=$(dirname "${BASH_SOURCE[0]}")
 DOCKERFILE_OUTDIR="${SRCDIR}/.generated"
 mkdir -p $DOCKERFILE_OUTDIR
 DOCKERFILE_PATH="$DOCKERFILE_OUTDIR/$DOCKERFILE"
diff --git a/config.txt b/config.txt
new file mode 100644
index 00000000..5ebf4822
--- /dev/null
+++ b/config.txt
@@ -0,0 +1,9 @@
+BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
+BASE_IMAGE_TAG=m80
+CPU_BASE_IMAGE_NAME=tf2-cpu.2-6
+GPU_BASE_IMAGE_NAME=tf2-gpu.2-6
+LIGHTGBM_VERSION=3.2.1
+TORCH_VERSION=1.9.1
+TORCHAUDIO_VERSION=0.9.1
+TORCHTEXT_VERSION=0.10.1
+TORCHVISION_VERSION=0.10.1
\ No newline at end of file
diff --git a/packages/README.md b/packages/README.md
new file mode 100644
index 00000000..e69de29b
diff --git a/packages/build_package b/packages/build_package
new file mode 100755
index 00000000..6a6e7e5c
--- /dev/null
+++ b/packages/build_package
@@ -0,0 +1,150 @@
+#!/bin/bash
+set -e
+
+usage() {
+cat << EOF
+Usage: $0 [OPTIONS]
+Build a new package ".whl".
+
+Options:
+    -p, --package PACKAGE     Package to build (e.g. lightgbm).
+    -v, --version VERSION     Package version to build.
+    -b, --base-image IMAGE    Base image tag (e.g. m80).
+    -c, --use-cache           Use layer cache when building a new image.
+    -f, --force-rebuild       Rebuild the image regardless of whether it already exist on GCR.
+    -u, --push                Push image to GCR.
+    --build-arg ARG=VALUE     Build arguments to pass to the docker build command.
+EOF
+}
+
+PACKAGE=''
+PACKAGE_VERSION=''
+BASE_IMAGE=''
+DOCKERFILE=''
+CACHE_FLAG='--no-cache'
+FORCE_REBUILD=false
+PUSH_TO_GCR=false
+BUILD_ARGS=''
+
+while :; do
+    case "$1" in 
+        -h|--help)
+            usage
+            exit
+            ;;
+        -p|--package)
+            if [[ -z $2 ]]; then
+                usage
+                printf 'ERROR: No IMAGE specified after the %s flag.\n' "$1" >&2
+                exit 1
+            fi
+            PACKAGE=$2
+            DOCKERFILE="${PACKAGE}.Dockerfile"
+            shift # skip the flag value
+            ;;
+        -v|--version)
+            if [[ -z $2 ]]; then
+                usage
+                printf 'ERROR: No VERSION specified after the %s flag.\n' "$1" >&2
+                exit 1
+            fi
+            PACKAGE_VERSION=$2
+            shift # skip the flag value
+            ;;
+        -t|--base-image)
+            if [[ -z $2 ]]; then
+                usage
+                printf 'ERROR: No TAG specified after the %s flag.\n' "$1" >&2
+                exit 1
+            fi
+            BASE_IMAGE=$2
+            shift # skip the flag value
+            ;;
+        -c|--use-cache)
+            CACHE_FLAG=''
+            ;;
+        -f|--force-rebuild)
+            FORCE_REBUILD=true
+            ;;
+        -u|--push)
+            PUSH_TO_GCR=true
+            ;;
+        --build-arg)
+            if [[ -z $2 ]]; then
+                usage
+                printf 'ERROR: No ARG=VALUE specified after the %s flag.\n' "$1" >&2
+                exit 1
+            fi
+            BUILD_ARGS+=" $1 $2"
+            shift # skip the flag value
+            ;;
+        -?*)
+            usage
+            printf 'ERROR: Unknown option: %s\n' "$1" >&2
+            exit 1
+            ;;
+        *)            
+            break
+    esac
+
+    shift
+done
+
+readonly PACKAGE
+readonly PACKAGE_VERSION
+readonly BASE_IMAGE
+readonly DOCKERFILE
+readonly CACHE_FLAG
+readonly FORCE_REBUILD
+
+SRCDIR=$(dirname "${BASH_SOURCE[0]}")
+DOCKERFILE_PATH="$SRCDIR/$DOCKERFILE"
+
+if [[ -z "$PACKAGE_VERSION" ]]; then
+    printf 'ERROR: missing --version flag.\n'
+    exit 1
+fi
+
+if [[ -z "$BASE_IMAGE" ]]; then
+    printf 'ERROR: missing --base-image flag.\n'
+    exit 1
+fi
+
+if [[ -z "$DOCKERFILE" ]]; then
+    printf 'ERROR: missing --package flag.\n'
+    exit 1
+fi
+
+# Keep only `tf2-gpu.2-6:m80` in `gcr.io/deeplearning-platform-release/tf2-gpu.2-6:m80` 
+TAG=${BASE_IMAGE/gcr.io\/deeplearning-platform-release\//}
+# Replace the `:` in `tf2-gpu.2-6:m80` by `-`
+TAG=${TAG/:/-}
+# Append the package version
+TAG=$TAG-$PACKAGE_VERSION
+# Add the gcr repo.
+TAG=gcr.io/kaggle-images/python-$PACKAGE-whl:$TAG
+
+SHOULD_BUILD=true
+if ! $FORCE_REBUILD; then
+    echo "Checking if $TAG exists..."
+    docker pull $TAG && SHOULD_BUILD=false
+fi
+
+if $SHOULD_BUILD; then
+    echo "Building $TAG..."
+    docker build --rm --pull $BUILD_ARGS \
+        $CACHE_FLAG \
+        -t $TAG \
+        -f "$DOCKERFILE_PATH" \
+        --build-arg BASE_IMAGE=$BASE_IMAGE \
+        --build-arg PACKAGE_VERSION=$PACKAGE_VERSION \
+        $SRCDIR
+    
+    if $PUSH_TO_GCR; then
+        echo "Pushing $TAG to GCR..."
+        docker push $TAG
+    fi
+else
+    echo "Skipping build. $TAG already exists."
+    echo "Use --force-rebuild if you want to build a new version anyway."
+fi
\ No newline at end of file
diff --git a/packages/lightgbm.Dockerfile b/packages/lightgbm.Dockerfile
new file mode 100644
index 00000000..408c6acc
--- /dev/null
+++ b/packages/lightgbm.Dockerfile
@@ -0,0 +1,29 @@
+ARG BASE_IMAGE
+
+FROM ${BASE_IMAGE} AS builder
+
+ARG PACKAGE_VERSION
+
+# Build instructions: https://lightgbm.readthedocs.io/en/latest/GPU-Tutorial.html#build-lightgbm
+RUN apt-get update && \
+    apt-get install -y build-essential cmake libboost-dev libboost-system-dev libboost-filesystem-dev ocl-icd-libopencl1 clinfo
+
+RUN cd /usr/local/src && \
+    git clone --recursive https://github.com/microsoft/LightGBM && \
+    cd LightGBM && \
+    git checkout tags/v$PACKAGE_VERSION && \
+    mkdir build && cd build && \
+    cmake -DUSE_GPU=1 -DOpenCL_LIBRARY=/usr/local/cuda/lib64/libOpenCL.so -DOpenCL_INCLUDE_DIR=/usr/local/cuda/include/ .. && \
+    make -j$(nproc) && \
+    cd /usr/local/src/LightGBM/python-package && \
+    python setup.py bdist_wheel
+
+# Using multi-stage builds to ensure the output image is very small
+# See: https://docs.docker.com/develop/develop-images/multistage-build/
+FROM alpine:latest
+
+RUN mkdir -p /tmp/whl/
+COPY --from=builder /usr/local/src/LightGBM/python-package/dist/*.whl /tmp/whl
+
+# Print out the built .whl file.
+RUN ls -lh /tmp/whl/
\ No newline at end of file
diff --git a/packages/torch.Dockerfile b/packages/torch.Dockerfile
new file mode 100644
index 00000000..de451730
--- /dev/null
+++ b/packages/torch.Dockerfile
@@ -0,0 +1,79 @@
+ARG BASE_IMAGE
+
+FROM ${BASE_IMAGE} AS builder
+
+ARG PACKAGE_VERSION
+ARG TORCHAUDIO_VERSION
+ARG TORCHTEXT_VERSION
+ARG TORCHVISION_VERSION
+
+# TORCHVISION_VERSION is mandatory
+RUN test -n "$TORCHVISION_VERSION"
+
+# Build instructions: https://github.com/pytorch/pytorch#from-source
+RUN conda install astunparse numpy ninja pyyaml mkl mkl-include setuptools cmake cffi typing_extensions future six requests dataclasses
+
+# By default, it uses the version from version.txt which includes the `a0` (alpha zero) suffix and part of the git hash.
+# This causes dependency conflicts like these: https://paste.googleplex.com/4786486378496000
+ENV PYTORCH_BUILD_VERSION=$PACKAGE_VERSION
+ENV PYTORCH_BUILD_NUMBER=1
+
+ENV TORCH_CUDA_ARCH_LIST="3.7;6.0;7.0+PTX;7.5+PTX"
+ENV FORCE_CUDA=1
+RUN cd /usr/local/src && \
+    git clone --recursive https://github.com/pytorch/pytorch && \
+    cd pytorch && \
+    git checkout tags/v$PACKAGE_VERSION && \
+    git submodule sync && \
+    git submodule update --init --recursive --jobs 0 && \
+    python setup.py bdist_wheel
+
+# Install torch which is required before we can build other torch* packages.
+RUN pip install /usr/local/src/pytorch/dist/*.whl
+
+# Build torchaudio
+# Instructions: https://github.com/pytorch/audio#from-source
+# See comment above for PYTORCH_BUILD_VERSION.
+ENV BUILD_VERSION=$TORCHAUDIO_VERSION
+RUN cd /usr/local/src && \
+    git clone https://github.com/pytorch/audio && \
+    cd audio && \
+    git checkout tags/v$TORCHAUDIO_VERSION && \
+    git submodule sync && \
+    git submodule update --init --recursive --jobs 0 && \
+    python setup.py bdist_wheel
+
+# Build torchtext
+# Instructions: https://github.com/pytorch/text#building-from-source
+# See comment above for PYTORCH_BUILD_VERSION.
+ENV BUILD_VERSION=$TORCHTEXT_VERSION
+RUN cd /usr/local/src && \
+    git clone https://github.com/pytorch/text && \
+    cd text && \
+    git checkout tags/v$TORCHTEXT_VERSION && \
+    git submodule sync && \
+    git submodule update --init --recursive --jobs 0 && \
+    python setup.py bdist_wheel
+
+# Build torchvision.
+# Instructions: https://github.com/pytorch/vision/tree/main#installation
+# See comment above for PYTORCH_BUILD_VERSION.
+ENV BUILD_VERSION=$TORCHVISION_VERSION
+RUN cd /usr/local/src && \
+    git clone --recursive https://github.com/pytorch/vision && \
+    cd vision && \
+    git checkout tags/v$TORCHVISION_VERSION && \
+    python setup.py bdist_wheel
+
+# Using multi-stage builds to ensure the output image is very small
+# See: https://docs.docker.com/develop/develop-images/multistage-build/
+FROM alpine:latest
+
+RUN mkdir -p /tmp/whl/
+COPY --from=builder /usr/local/src/pytorch/dist/*.whl /tmp/whl
+COPY --from=builder /usr/local/src/audio/dist/*.whl /tmp/whl
+COPY --from=builder /usr/local/src/text/dist/*.whl /tmp/whl
+COPY --from=builder /usr/local/src/vision/dist/*.whl /tmp/whl
+
+# Print out the built .whl file.
+RUN ls -lh /tmp/whl/
\ No newline at end of file

From 0b9588d7ee33bae3c63c52eb27af6f47a95ebc21 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 7 Oct 2021 11:22:03 -0700
Subject: [PATCH 1165/1660] Prune image from GPU agent disk. (#1088)

* Prune image from GPU agent disk.

It was currently only running on the CPU (ephemeral) agents.
Switched to be run on the GPU agent building the image to prevent build errors caused by disk filling up.

* Reduce prune window
---
 Jenkinsfile | 23 +++++++++--------------
 1 file changed, 9 insertions(+), 14 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 99ad30c2..d884c767 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -20,20 +20,6 @@ pipeline {
   }
 
   stages {
-    stage('Clean Images') {
-      steps {
-        sh '''#!/bin/bash
-          set -exo pipefail
-          # Remove images (dangling or not) created more than 120h (5 days ago) to prevent disk from filling up.
-          docker image prune --all --force --filter "until=120h" --filter "label=kaggle-lang=python"
-          # Remove any dangling images (no tags).
-          # All builds for the same branch uses the same tag. This means a subsequent build for the same branch
-          # will untag the previously built image which is safe to do. Builds for a single branch are performed
-          # serially.
-          docker image prune -f
-        '''
-      }
-    }
     stage('Pre-build Packages from Source') {
       parallel {
         stage('torch') {
@@ -123,6 +109,15 @@ pipeline {
               steps {
                 sh '''#!/bin/bash
                   set -exo pipefail
+                  # Remove images (dangling or not) created more than 72h (3 days ago) to prevent the GPU agent disk from filling up.
+                  # Note: CPU agents are ephemeral and do not need to have their disk cleaned up.
+                  docker image prune --all --force --filter "until=72h" --filter "label=kaggle-lang=python"
+                  # Remove any dangling images (no tags).
+                  # All builds for the same branch uses the same tag. This means a subsequent build for the same branch
+                  # will untag the previously built image which is safe to do. Builds for a single branch are performed
+                  # serially.
+                  docker image prune -f
+                  
                   ./build --gpu | ts
                   ./push --gpu ${PRETEST_TAG}
                 '''

From a4cc4b44280510e716faeee4781f8ebd82d51423 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 12 Oct 2021 10:45:42 -0700
Subject: [PATCH 1166/1660] Add /opt/bin to GPU image PATH env variable (#1089)

NVIDIA binaries from the host are mounted to /opt/bin.

This is how `nvidia-smi` is made accessible inside the user session docker container. See attached bugs for additional context.

b/202852505
---
 Dockerfile.tmpl | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 92eeca84..0d51f33b 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -14,6 +14,8 @@ FROM gcr.io/kaggle-images/python-torch-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_T
 FROM ${BASE_IMAGE_REPO}/${GPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
 ENV CUDA_MAJOR_VERSION=11
 ENV CUDA_MINOR_VERSION=0
+# NVIDIA binaries from the host are mounted to /opt/bin.
+ENV PATH=/opt/bin:${PATH}
 {{ else }}
 FROM ${BASE_IMAGE_REPO}/${CPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
 {{ end }}

From f1ad3e53cea8798aefa3558c37ed283c7c8de492 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 26 Oct 2021 11:30:22 -0700
Subject: [PATCH 1167/1660] Remove /usr/local/cuda/compat from LD_LIBRARY_PATH
 (#1092)

* Remove /usr/local/cuda/compat from LD_LIBRARY_PATH

http://b/203659565

* Add CUDA stubs to LD_LIBRARY_PATH to allow building on a CPU-only machine

* Add symlink for libcuda.so
---
 Dockerfile.tmpl | 10 +++++++---
 1 file changed, 7 insertions(+), 3 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 0d51f33b..ef5e358d 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -16,6 +16,10 @@ ENV CUDA_MAJOR_VERSION=11
 ENV CUDA_MINOR_VERSION=0
 # NVIDIA binaries from the host are mounted to /opt/bin.
 ENV PATH=/opt/bin:${PATH}
+# Add CUDA stubs to LD_LIBRARY_PATH to support building the GPU image on a CPU machine.
+ENV LD_LIBRARY_PATH_NO_STUBS="$LD_LIBRARY_PATH"
+ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64/stubs"
+RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
 {{ else }}
 FROM ${BASE_IMAGE_REPO}/${CPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
 {{ end }}
@@ -38,9 +42,6 @@ ADD clean-layer.sh  /tmp/clean-layer.sh
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
 ADD patches/template_conf.json /opt/kaggle/conf.json
 
-# Adds the libcuda.so to LD_LIBRARY_PATH which is necessary for the GPU mxnet package.
-ENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda/compat
-
 {{ if eq .Accelerator "gpu" }}
 # b/200968891 Keeps horovod once torch is upgraded.
 RUN pip uninstall -y horovod && \
@@ -566,3 +567,6 @@ LABEL kaggle-lang=python
 
 # Correlate current release with the git hash inside the kernel editor by running `!cat /etc/git_commit`.
 RUN echo "$GIT_COMMIT" > /etc/git_commit && echo "$BUILD_DATE" > /etc/build_date
+
+# Remove the CUDA stubs.
+ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH_NO_STUBS"
\ No newline at end of file

From bdf14ce8f0e848773480084a0e55b34a23be5abe Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 28 Oct 2021 12:06:25 -0700
Subject: [PATCH 1168/1660] Upgrade base image to m82 (#1093)

http://b/204442455
---
 Dockerfile.tmpl | 2 ++
 config.txt      | 2 +-
 2 files changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index ef5e358d..003f8e9c 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -450,6 +450,8 @@ RUN pip install flashtext && \
     pip install cesium && \
     pip install rgf_python && \
     pip install tsfresh && \
+    # b/204442455 unpin once tsfresh is compatible with latest version of statsmodels.
+    pip install statsmodels==0.12.2 && \
     pip install pykalman && \
     pip install optuna && \
     pip install plotly_express && \
diff --git a/config.txt b/config.txt
index 5ebf4822..85e8f9c6 100644
--- a/config.txt
+++ b/config.txt
@@ -1,5 +1,5 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
-BASE_IMAGE_TAG=m80
+BASE_IMAGE_TAG=m82
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-6
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-6
 LIGHTGBM_VERSION=3.2.1

From b9f91ea52d3170005295b6a62995b2844970f80b Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 10 Nov 2021 09:15:05 -0500
Subject: [PATCH 1169/1660] Install matrixprofile from git to solve protobuf
 downgrade issue. (#1094)

The matrixprofile in pip downgrades protobuf because the release whl has
the wrong requirements.txt file.

http://b/205704651
---
 Dockerfile.tmpl | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 003f8e9c..b11ec860 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -449,6 +449,8 @@ RUN pip install flashtext && \
     pip install https://github.com/hbasria/ggpy/archive/0.11.5.zip && \
     pip install cesium && \
     pip install rgf_python && \
+    # b/205704651 remove install cmd for matrixprofile after version > 1.1.10 is released.
+    pip install git+git://github.com/matrix-profile-foundation/matrixprofile.git@6bea7d4445284dbd9700a097974ef6d4613fbca7 && \
     pip install tsfresh && \
     # b/204442455 unpin once tsfresh is compatible with latest version of statsmodels.
     pip install statsmodels==0.12.2 && \

From 7ffc2b9eeb1b75c77c7d203b1c871fe378b72f97 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 10 Nov 2021 11:11:26 -0500
Subject: [PATCH 1170/1660] Upgrade base image to m85 (#1095)

---
 Dockerfile.tmpl | 3 +--
 config.txt      | 2 +-
 2 files changed, 2 insertions(+), 3 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index b11ec860..cf02e892 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -410,8 +410,7 @@ RUN pip install bleach && \
     pip install feather-format && \
     pip install fastai && \
     pip install allennlp && \
-    # https://b.corp.google.com/issues/184685619#comment9: 3.9.0 is causing a major performance degradation with spacy 2.3.5
-    pip install importlib-metadata==3.4.0 && \
+    pip install importlib-metadata && \
     python -m spacy download en_core_web_sm && python -m spacy download en_core_web_lg && \
     apt-get install -y ffmpeg && \
     /tmp/clean-layer.sh
diff --git a/config.txt b/config.txt
index 85e8f9c6..b1a1e868 100644
--- a/config.txt
+++ b/config.txt
@@ -1,5 +1,5 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
-BASE_IMAGE_TAG=m82
+BASE_IMAGE_TAG=m85
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-6
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-6
 LIGHTGBM_VERSION=3.2.1

From d2637d0882a23428eeca88fab6c510e791f31be0 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 15 Nov 2021 10:12:56 -0500
Subject: [PATCH 1171/1660] Refresh README documentation (#1097)

- Refer to the new `Dockerfile.tmpl`
- Remove outdated documentation about GPU layers/
- Remove link to outdated external documentation.
---
 README.md | 16 ++++------------
 1 file changed, 4 insertions(+), 12 deletions(-)

diff --git a/README.md b/README.md
index bd065b4a..614ba517 100644
--- a/README.md
+++ b/README.md
@@ -2,19 +2,13 @@
 
 [Kaggle Notebooks](https://www.kaggle.com/notebooks) allow users to run a Python Notebook in the cloud against our competitions and datasets without having to download data or set up their environment.
 
-This repository includes our Dockerfiles for building the [CPU-only](Dockerfile) and [GPU](gpu.Dockerfile) image that runs Python Notebooks on Kaggle.
+This repository includes the [Dockerfile](Dockerfile.tmpl) for building the CPU-only and GPU image that runs Python Notebooks on Kaggle.
 
-Our Python Docker images are stored on Google Container Registry at:
+Our Python Docker images are stored on the Google Container Registry at:
 
 * CPU-only: [gcr.io/kaggle-images/python](https://gcr.io/kaggle-images/python)
 * GPU: [gcr.io/kaggle-gpu-images/python](https://gcr.io/kaggle-gpu-images/python)
 
-Note: The base image for the GPU image is our CPU-only image. The [gpu.Dockerfile](gpu.Dockerfile) adds a few extra layers to install GPU related libraries and packages (cuda, libcudnn, pycuda etc.) and reinstall packages with specific GPU builds (torch, tensorflow and a few mores).
-
-## Getting started
-
-To get started with this image, read our [guide](https://medium.com/@kaggleteam/how-to-get-started-with-data-science-in-containers-6ed48cb08266) to using it yourself, or browse [Kaggle Notebooks](https://www.kaggle.com/notebooks) for ideas.
-
 ## Requesting new packages
 
 First, evaluate whether installing the package yourself in your own notebooks suits your needs. See [guide](https://github.com/Kaggle/docker-python/wiki/Missing-Packages).
@@ -23,9 +17,7 @@ If you the first step above doesn't work for your use case, [open an issue](http
 
 ## Opening a pull request
 
-1. Update the *Dockerfile*
-    1. For changes specific to the GPU image, update the [gpu.Dockerfile](gpu.Dockerfile).
-    1. Otherwise, update the [Dockerfile](Dockerfile).
+1. Edit the [Dockerfile](Dockerfile.tmpl).
 1. Follow the instructions below to build a new image.
 1. Add tests for your new package. See this [example](https://github.com/Kaggle/docker-python/blob/main/tests/test_fastai.py).
 1. Follow the instructions below to test the new image.
@@ -74,4 +66,4 @@ docker run --runtime nvidia --rm -it kaggle/python-gpu-build /bin/bash
 docker run --runtime nvidia --rm -it gcr.io/kaggle-gpu-images/python /bin/bash
 ```
 
-To ensure your container can access the GPU, follow the instructions posted [here](https://github.com/Kaggle/docker-python/issues/361#issuecomment-448093930).
\ No newline at end of file
+To ensure your container can access the GPU, follow the instructions posted [here](https://github.com/Kaggle/docker-python/issues/361#issuecomment-448093930).

From 870bc499ba09d08844fa05b6265bf4790500d9dd Mon Sep 17 00:00:00 2001
From: Ray Douglass <3107146+raydouglass@users.noreply.github.com>
Date: Mon, 15 Nov 2021 10:15:22 -0500
Subject: [PATCH 1172/1660] Update cudf & cuml to 21.10 (#1090)

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index cf02e892..482a5c01 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -73,7 +73,7 @@ RUN conda config --add channels nvidia && \
     /tmp/clean-layer.sh
 
 {{ if eq .Accelerator "gpu" }}
-RUN conda install cudf=21.08 cuml=21.08 cudatoolkit=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION && \
+RUN conda install cudf=21.10 cuml=21.10 cudatoolkit=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION && \
     /tmp/clean-layer.sh
 {{ end }}
 

From 38f83f4836245505f4eb87d2f26c504fe924ec12 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 16 Nov 2021 13:49:28 -0500
Subject: [PATCH 1173/1660] Install py4j. (#1099)

The latest version of `hyperopt` (0.2.6) requires `py4j` but doesn't list it
as a requirement.

This caused our tests to start failing.

`py4j` is a package to access Java objects.

http://b/206631257
---
 Dockerfile.tmpl | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 482a5c01..8f55d47b 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -239,6 +239,8 @@ RUN pip install mpld3 && \
     pip install haversine && \
     pip install toolz cytoolz && \
     pip install plotly && \
+    # b/206631257: hyperopt requires py4j >= 0.2.6 requires py4j but doesn't list it as a dependency. Remove once hyperopt properly list it.
+    pip install py4j && \
     pip install hyperopt && \
     pip install fitter && \
     pip install langid && \

From ea00dc1a8eb39dcc5ff9c819e0dd2f588e570cc0 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 18 Nov 2021 10:57:02 -0800
Subject: [PATCH 1174/1660] Delete PULL_REQUEST_TEMPLATE.md

---
 .github/PULL_REQUEST_TEMPLATE.md | 11 -----------
 1 file changed, 11 deletions(-)
 delete mode 100644 .github/PULL_REQUEST_TEMPLATE.md

diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md
deleted file mode 100644
index 03516138..00000000
--- a/.github/PULL_REQUEST_TEMPLATE.md
+++ /dev/null
@@ -1,11 +0,0 @@
-## What does this PR do?
-
-<!--
-Please include a summary of the change and which issue is fixed.
-Please also include relevant motivation and context.
-List any dependencies that are required for this change.
-
-If we didn't discuss your PR in Github issues there's a high chance it will not be merged.
--->
-
-Fixes #\<issue_number>

From bcc29fb189bea46c22e395f33d4acc89e1225476 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 18 Nov 2021 15:54:03 -0500
Subject: [PATCH 1175/1660] Pin osmx to 1.1.1 (#1101)

Prevent upgrade to numpy 1.21.x.

The latest version of osmx (1.1.2) requires numpy >= 1.21: https://github.com/gboeing/osmnx/blob/6f9236f20a81416bf34186a811a8ebb76afa0dc8/requirements.txt#L4

http://b/206990323
---
 Dockerfile.tmpl | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 8f55d47b..24d8789b 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -460,7 +460,8 @@ RUN pip install flashtext && \
     pip install plotly_express && \
     pip install albumentations && \
     pip install catalyst && \
-    pip install osmnx && \
+    # b/206990323 osmx 1.1.2 requires numpy >= 1.21 which we don't want. 
+    pip install osmnx==1.1.1 && \
     apt-get -y install libspatialindex-dev && \
     pip install pytorch-ignite && \
     pip install qgrid && \

From 8bd38059fd95c88283420d94473a0c735e41309f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 19 Nov 2021 12:18:59 -0500
Subject: [PATCH 1176/1660] Fix LD_LIBRARY_PATH for the CPU image. (#1102)

Removing the CUDA stubs from the LD_LIBRARY_PATH should only be done for the GPU build.
LD_LIBRARY_PATH_NO_STUBS is not defined for the CPU build causing the LD_LIBRARY_PATH to be set to 0.
---
 Dockerfile.tmpl | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 24d8789b..118451e0 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -574,5 +574,7 @@ LABEL kaggle-lang=python
 # Correlate current release with the git hash inside the kernel editor by running `!cat /etc/git_commit`.
 RUN echo "$GIT_COMMIT" > /etc/git_commit && echo "$BUILD_DATE" > /etc/build_date
 
+{{ if eq .Accelerator "gpu" }}
 # Remove the CUDA stubs.
-ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH_NO_STUBS"
\ No newline at end of file
+ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH_NO_STUBS"
+{{ end }}

From c2fc249b10e30239fc65b3d1f06d910742249e90 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 22 Nov 2021 21:48:53 -0800
Subject: [PATCH 1177/1660] Upgrade base image to m86 (#1104)

http://b/207410233
---
 config.txt | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/config.txt b/config.txt
index b1a1e868..1a9474ab 100644
--- a/config.txt
+++ b/config.txt
@@ -1,9 +1,9 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
-BASE_IMAGE_TAG=m85
+BASE_IMAGE_TAG=m86
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-6
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-6
 LIGHTGBM_VERSION=3.2.1
 TORCH_VERSION=1.9.1
 TORCHAUDIO_VERSION=0.9.1
 TORCHTEXT_VERSION=0.10.1
-TORCHVISION_VERSION=0.10.1
\ No newline at end of file
+TORCHVISION_VERSION=0.10.1

From 95d71701e2343db9a80ca3a09dbf0309ca80cd91 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 24 Nov 2021 14:04:31 -0800
Subject: [PATCH 1178/1660] Add FLAX (#1105)

Includes a smoke test.

http://b/207406362
---
 Dockerfile.tmpl    |  1 +
 tests/test_flax.py | 15 +++++++++++++++
 2 files changed, 16 insertions(+)
 create mode 100644 tests/test_flax.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 118451e0..8f788d26 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -137,6 +137,7 @@ RUN pip install pysal && \
     pip install seaborn python-dateutil dask python-igraph && \
     pip install pyyaml joblib husl geopy ml_metrics mne pyshp && \
     pip install pandas && \
+    pip install flax && \
     # Install h2o from source.
     # Use `conda install -c h2oai h2o` once Python 3.7 version is released to conda.
     apt-get install -y default-jre-headless && \
diff --git a/tests/test_flax.py b/tests/test_flax.py
new file mode 100644
index 00000000..d1d1b63e
--- /dev/null
+++ b/tests/test_flax.py
@@ -0,0 +1,15 @@
+import unittest
+
+import jax.numpy as jnp
+import numpy as np
+
+from flax import linen as nn
+
+
+class TestFlax(unittest.TestCase):
+
+    def test_bla(self):
+        x = jnp.full((1, 3, 3, 1), 2.)
+        mul_reduce = lambda x, y: x * y
+        y = nn.pooling.pool(x, 1., mul_reduce, (2, 2), (1, 1), 'VALID')
+        np.testing.assert_allclose(y, np.full((1, 2, 2, 1), 2. ** 4))

From eaf724136b95aaa788045b78b7a38a3e60389b9c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 26 Nov 2021 13:41:08 -0800
Subject: [PATCH 1179/1660] Upgrade to LightGBM 3.3.1 (#1106)

http://b/207851889
---
 config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/config.txt b/config.txt
index 1a9474ab..b6b788f2 100644
--- a/config.txt
+++ b/config.txt
@@ -2,7 +2,7 @@ BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
 BASE_IMAGE_TAG=m86
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-6
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-6
-LIGHTGBM_VERSION=3.2.1
+LIGHTGBM_VERSION=3.3.1
 TORCH_VERSION=1.9.1
 TORCHAUDIO_VERSION=0.9.1
 TORCHTEXT_VERSION=0.10.1

From 552536ce94c42c3b0b4ae20ac5a6224c7f280d4a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 2 Dec 2021 14:13:01 -0800
Subject: [PATCH 1180/1660] Delete old unversioned images (#1108)

- Delete only images without the `v*` tag.
- Delete only images older than 9 months (recent unversioned images are
useful for debugging).

http://b/208859194
---
 Jenkinsfile | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/Jenkinsfile b/Jenkinsfile
index d884c767..909d7df2 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -162,6 +162,16 @@ pipeline {
         '''
       }
     }
+
+    stage('Delete Old Unversioned Images') {
+      steps {
+        sh '''#!/bin/bash
+          set -exo pipefail
+          gcloud container images list-tags gcr.io/kaggle-images/python --filter="NOT tags:v* AND timestamp.datetime < -P9M" --format='get(digest)' --limit 100 | xargs -I {} gcloud container images delete gcr.io/kaggle-images/python@{} --quiet --force-delete-tags
+          gcloud container images list-tags gcr.io/kaggle-private-byod/python --filter="NOT tags:v* AND timestamp.datetime < -P9M" --format='get(digest)' --limit 100 | xargs -I {} gcloud container images delete gcr.io/kaggle-private-byod/python@{} --quiet --force-delete-tags
+        '''
+      }
+    }
   }
 
   post {

From 0829b4cb9b26b327ba7c3da66ef934e6f2baa8f5 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 3 Dec 2021 11:16:41 -0800
Subject: [PATCH 1181/1660] Delete unversioned images after 6 months (#1109)

Standardized with `docker-rcran`: https://github.com/Kaggle/docker-rcran/pull/57#discussion_r762150273
---
 Jenkinsfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 909d7df2..157fd79b 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -167,8 +167,8 @@ pipeline {
       steps {
         sh '''#!/bin/bash
           set -exo pipefail
-          gcloud container images list-tags gcr.io/kaggle-images/python --filter="NOT tags:v* AND timestamp.datetime < -P9M" --format='get(digest)' --limit 100 | xargs -I {} gcloud container images delete gcr.io/kaggle-images/python@{} --quiet --force-delete-tags
-          gcloud container images list-tags gcr.io/kaggle-private-byod/python --filter="NOT tags:v* AND timestamp.datetime < -P9M" --format='get(digest)' --limit 100 | xargs -I {} gcloud container images delete gcr.io/kaggle-private-byod/python@{} --quiet --force-delete-tags
+          gcloud container images list-tags gcr.io/kaggle-images/python --filter="NOT tags:v* AND timestamp.datetime < -P6M" --format='get(digest)' --limit 100 | xargs -I {} gcloud container images delete gcr.io/kaggle-images/python@{} --quiet --force-delete-tags
+          gcloud container images list-tags gcr.io/kaggle-private-byod/python --filter="NOT tags:v* AND timestamp.datetime < -P6M" --format='get(digest)' --limit 100 | xargs -I {} gcloud container images delete gcr.io/kaggle-private-byod/python@{} --quiet --force-delete-tags
         '''
       }
     }

From a41dd6e23285890c777f90083a38d05336fbe683 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 6 Dec 2021 13:41:58 -0800
Subject: [PATCH 1182/1660] Remove explicit dependency on py4j (#1112)

The `hyperopt` package now lists `py4j` as a dependency: https://github.com/hyperopt/hyperopt/blob/dfdb48d1dd9917fad347316a7818a9dcd160f200/setup.py#L51

See: b/206631257
---
 Dockerfile.tmpl | 2 --
 1 file changed, 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 8f788d26..c0834c27 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -240,8 +240,6 @@ RUN pip install mpld3 && \
     pip install haversine && \
     pip install toolz cytoolz && \
     pip install plotly && \
-    # b/206631257: hyperopt requires py4j >= 0.2.6 requires py4j but doesn't list it as a dependency. Remove once hyperopt properly list it.
-    pip install py4j && \
     pip install hyperopt && \
     pip install fitter && \
     pip install langid && \

From f7d271a106c6d7a263944d4876a6284f48a40a81 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 6 Dec 2021 16:04:55 -0800
Subject: [PATCH 1183/1660] Remove pin on scikit-learn (#1111)

A new version of `hep-ml` was released on September 10, 2021 which supports scikit-learn 0.24.x
---
 Dockerfile.tmpl | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index c0834c27..046a5b04 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -189,8 +189,7 @@ RUN pip install ibis-framework && \
     /tmp/clean-layer.sh
 
 RUN pip install scipy && \
-    # b/176817038 avoid upgrade to 0.24 which is causing issues with hep-ml package.
-    pip install scikit-learn==0.23.2 && \
+    pip install scikit-learn && \
     # HDF5 support
     pip install h5py && \
     pip install biopython && \

From 5b50dad6e0196eaf899964b553a2b6c0e3def56f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 6 Dec 2021 16:05:03 -0800
Subject: [PATCH 1184/1660] Upgrade to m87 base image (#1110)

---
 config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/config.txt b/config.txt
index b6b788f2..efaca6e5 100644
--- a/config.txt
+++ b/config.txt
@@ -1,5 +1,5 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
-BASE_IMAGE_TAG=m86
+BASE_IMAGE_TAG=m87
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-6
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-6
 LIGHTGBM_VERSION=3.3.1

From bec4f2346b662edf4102eb7ee5e51b981d0c1fcf Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 6 Dec 2021 16:06:44 -0800
Subject: [PATCH 1185/1660] Remove pynvml pin (#1107)

Latest version of `nnabla` is now compatible with latest version of `pynvml`
---
 Dockerfile.tmpl | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 046a5b04..b99e81c0 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -127,8 +127,7 @@ RUN pip install mxnet && \
 # Install GPU-only packages
 RUN pip install pycuda && \
     pip install pynvrtc && \
-    # b/190622765 latest version is causing issue. nnabla fixed it in https://github.com/sony/nnabla/issues/892, waiting for new release before we can remove this pin.
-    pip install pynvml==8.0.4 && \
+    pip install pynvml && \
     pip install nnabla-ext-cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \
     /tmp/clean-layer.sh
 {{ end }}

From a75fd9c2018f474e7313f554a0e10511ca1dbb44 Mon Sep 17 00:00:00 2001
From: Rohit Gupta <rohitgr1998@gmail.com>
Date: Wed, 8 Dec 2021 00:21:40 +0530
Subject: [PATCH 1186/1660] use pl latest (#1087)

---
 Dockerfile.tmpl | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index b99e81c0..38630e19 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -472,9 +472,8 @@ RUN pip install flashtext && \
     pip install vowpalwabbit && \
     pip install pydub && \
     pip install pydegensac && \
-    # b/198635596 latest versions of torchmetrics & pytorch-lightning are failing at runtime.
-    pip install torchmetrics==0.5.0 && \
-    pip install pytorch-lightning==1.4.4 && \
+    pip install torchmetrics && \
+    pip install pytorch-lightning && \
     pip install datatable && \
     pip install sympy && \
     # flask is used by agents in the simulation competitions.

From cb4a134825e6831255ba3cf694c33df0032dd59b Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 10 Dec 2021 14:01:40 -0800
Subject: [PATCH 1187/1660] Upgrade JAX to latest (#1113)

- 0.2.19 is too old for the latest version of flax.
- Updated command to install the GPU version of JAX since it has changed: https://github.com/google/jax#pip-installation-gpu-cuda

http://b/210130222
---
 Dockerfile.tmpl | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 38630e19..8ddb33b2 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -104,12 +104,11 @@ RUN pip install lightgbm==$LIGHTGBM_VERSION && \
 {{ end }}
 
 # Install JAX
-ENV JAX_VERSION=0.2.19
 {{ if eq .Accelerator "gpu" }}
-RUN pip install jax[cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION]==$JAX_VERSION -f https://storage.googleapis.com/jax-releases/jax_releases.html && \
+RUN pip install jax[cuda] -f https://storage.googleapis.com/jax-releases/jax_releases.html && \
     /tmp/clean-layer.sh
 {{ else }}
-RUN pip install jax[cpu]==$JAX_VERSION && \
+RUN pip install jax[cpu] && \
     /tmp/clean-layer.sh
 {{ end }}
 

From b47cb41d0300b8855997385c684b31f1ad522064 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 15 Dec 2021 17:15:54 -0800
Subject: [PATCH 1188/1660] Upgrade TENSORFLOW_VERSION env variable

To match the `tf2-gpu.2-6:m87` version of TensorFlow installed.
---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 8ddb33b2..68c867ec 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -24,7 +24,7 @@ RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/lib
 FROM ${BASE_IMAGE_REPO}/${CPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
 {{ end }}
 # Keep these variables in sync if base image is updated.
-ENV TENSORFLOW_VERSION=2.6.0
+ENV TENSORFLOW_VERSION=2.6.2
 
 # We need to redefine the ARG here to get the ARG value defined above the FROM instruction.
 # See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact

From 1027ca240a53faa4bed2894b7c3964649091af1b Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 21 Dec 2021 15:40:30 -0800
Subject: [PATCH 1189/1660] Install implicit from conda (#1115)

- Installing from pip installs from source. Faster to install binary
from conda
- Fixes build issues since we are building the GPU image with stubs.
- Added a smoke test

http://b/211665716
---
 Dockerfile.tmpl        | 10 +++++++++-
 tests/test_implicit.py | 32 ++++++++++++++++++++++++++++++++
 2 files changed, 41 insertions(+), 1 deletion(-)
 create mode 100644 tests/test_implicit.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 68c867ec..67352e2e 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -77,6 +77,15 @@ RUN conda install cudf=21.10 cuml=21.10 cudatoolkit=$CUDA_MAJOR_VERSION.$CUDA_MI
     /tmp/clean-layer.sh
 {{ end }}
 
+# Install implicit
+{{ if eq .Accelerator "gpu" }}
+RUN conda install implicit implicit-proc=*=gpu && \
+    /tmp/clean-layer.sh
+{{ else }}
+RUN conda install implicit && \
+    /tmp/clean-layer.sh
+{{ end}}
+
 # Install PyTorch
 {{ if eq .Accelerator "gpu" }}
 COPY --from=torch_whl /tmp/whl/*.whl /tmp/torch/
@@ -297,7 +306,6 @@ RUN pip install mpld3 && \
     pip install pymongo && \
     pip install geoplot && \
     pip install eli5 && \
-    pip install implicit && \
     pip install kaggle && \
     /tmp/clean-layer.sh
 
diff --git a/tests/test_implicit.py b/tests/test_implicit.py
new file mode 100644
index 00000000..83eed4bb
--- /dev/null
+++ b/tests/test_implicit.py
@@ -0,0 +1,32 @@
+import unittest
+
+import numpy as np
+
+from implicit.als import AlternatingLeastSquares
+from scipy.sparse import csr_matrix
+
+
+class TestImplicit(unittest.TestCase):
+    def test_model(self):
+        raw = [
+            [0.0, 2.0, 1.5, 1.33333333, 1.25, 1.2, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
+            [0.0, 0.0, 2.0, 1.5, 1.33333333, 1.25, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
+            [0.0, 0.0, 0.0, 2.0, 1.5, 1.33333333, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
+            [0.0, 0.0, 0.0, 0.0, 2.0, 1.5, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
+            [0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
+            [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
+            [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 1.5, 1.33333333, 1.25, 1.2],
+            [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 1.5, 1.33333333, 1.25],
+            [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 1.5, 1.33333333],
+            [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 1.5],
+            [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0],
+            [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
+        ]
+        counts = csr_matrix(raw, dtype=np.float64)
+
+        model = AlternatingLeastSquares(factors=3)
+        model.fit(counts, show_progress=False)
+        rows, cols = model.item_factors, model.user_factors
+
+        assert not np.isnan(np.sum(cols))
+        assert not np.isnan(np.sum(rows))

From 105123a8fad332c82cbdda30e75c411bdf02d1b1 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 5 Jan 2022 14:41:05 -0800
Subject: [PATCH 1190/1660] Add opencv classifier test (#1119)

http://b/212703016
---
 tests/data/haarcascade_frontalface_alt.xml | 24350 +++++++++++++++++++
 tests/test_opencv.py                       |    12 +
 2 files changed, 24362 insertions(+)
 create mode 100644 tests/data/haarcascade_frontalface_alt.xml

diff --git a/tests/data/haarcascade_frontalface_alt.xml b/tests/data/haarcascade_frontalface_alt.xml
new file mode 100644
index 00000000..ade4b212
--- /dev/null
+++ b/tests/data/haarcascade_frontalface_alt.xml
@@ -0,0 +1,24350 @@
+<?xml version="1.0"?>
+<!--
+    Stump-based 20x20 gentle adaboost frontal face detector.
+    Created by Rainer Lienhart.
+
+////////////////////////////////////////////////////////////////////////////////////////
+
+  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+
+  By downloading, copying, installing or using the software you agree to this license.
+  If you do not agree to this license, do not download, install,
+  copy or use the software.
+
+
+                        Intel License Agreement
+                For Open Source Computer Vision Library
+
+ Copyright (C) 2000, Intel Corporation, all rights reserved.
+ Third party copyrights are property of their respective owners.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+   * Redistribution's of source code must retain the above copyright notice,
+     this list of conditions and the following disclaimer.
+
+   * Redistribution's in binary form must reproduce the above copyright notice,
+     this list of conditions and the following disclaimer in the documentation
+     and/or other materials provided with the distribution.
+
+   * The name of Intel Corporation may not be used to endorse or promote products
+     derived from this software without specific prior written permission.
+
+ This software is provided by the copyright holders and contributors "as is" and
+ any express or implied warranties, including, but not limited to, the implied
+ warranties of merchantability and fitness for a particular purpose are disclaimed.
+ In no event shall the Intel Corporation or contributors be liable for any direct,
+ indirect, incidental, special, exemplary, or consequential damages
+ (including, but not limited to, procurement of substitute goods or services;
+ loss of use, data, or profits; or business interruption) however caused
+ and on any theory of liability, whether in contract, strict liability,
+ or tort (including negligence or otherwise) arising in any way out of
+ the use of this software, even if advised of the possibility of such damage.
+-->
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+</opencv_storage>
diff --git a/tests/test_opencv.py b/tests/test_opencv.py
index be0e92f8..817f1597 100644
--- a/tests/test_opencv.py
+++ b/tests/test_opencv.py
@@ -2,8 +2,20 @@
 
 import cv2
 
+
 class TestOpenCV(unittest.TestCase):
     def test_imread(self):
         img = cv2.imread('/input/tests/data/dot.png')
 
         self.assertEqual(1, img.shape[0])
+
+    def test_classifier(self):
+        face_classifier = cv2.CascadeClassifier()
+        # Pretrained classifier downloaded from here: https://github.com/opencv/opencv/tree/4.x/data/haarcascades
+        face_classifier.load('/input/tests/data/haarcascade_frontalface_alt.xml')
+
+        img = cv2.imread('/input/tests/data/face.jpg')
+        frame_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+        frame_gray = cv2.equalizeHist(frame_gray)
+        faces = face_classifier.detectMultiScale(frame_gray)
+        self.assertEqual(1, len(faces))

From 5d43fcc3a01667bf7b80dcf55706741d6bf5fa16 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 11 Jan 2022 12:34:40 -0800
Subject: [PATCH 1191/1660] Fix pip install from git and pin opencv (#1120)

As of yesterday, GitHub no longer supports unauthenticated git:// calls: https://news.ycombinator.com/item?id=29891656

Pinning version of opencv to avoid segfault. See: https://github.com/JaidedAI/EasyOCR/issues/630

http://b/212703016 (opencv segfault)
http://b/214044576 (GitHub issue)
---
 Dockerfile.tmpl | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 67352e2e..865be8d7 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -192,6 +192,8 @@ RUN apt-get install -y libfreetype6-dev && \
 
 RUN pip install ibis-framework && \
     pip install gluonnlp && \
+    # b/212703016 4.5.4.62 segfault with readtext.
+    pip install opencv-contrib-python==4.5.4.60 opencv-python==4.5.4.60 && \
     pip install gluoncv && \
     /tmp/clean-layer.sh
 
@@ -215,7 +217,7 @@ RUN pip install scipy && \
     apt-get install -y graphviz && pip install graphviz && \
     # Pandoc is a dependency of deap
     apt-get install -y pandoc && \
-    pip install git+git://github.com/scikit-learn-contrib/py-earth.git@issue191 && \
+    pip install git+https://github.com/scikit-learn-contrib/py-earth.git@issue191 && \
     pip install essentia && \
     /tmp/clean-layer.sh
 
@@ -455,7 +457,7 @@ RUN pip install flashtext && \
     pip install cesium && \
     pip install rgf_python && \
     # b/205704651 remove install cmd for matrixprofile after version > 1.1.10 is released.
-    pip install git+git://github.com/matrix-profile-foundation/matrixprofile.git@6bea7d4445284dbd9700a097974ef6d4613fbca7 && \
+    pip install git+https://github.com/matrix-profile-foundation/matrixprofile.git@6bea7d4445284dbd9700a097974ef6d4613fbca7 && \
     pip install tsfresh && \
     # b/204442455 unpin once tsfresh is compatible with latest version of statsmodels.
     pip install statsmodels==0.12.2 && \

From 564389b5e184a9a25841f489c833f3a3e7db4379 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 11 Jan 2022 15:36:48 -0800
Subject: [PATCH 1192/1660] Pin blake3 to fix vaex (#1121)

See: https://github.com/vaexio/vaex/issues/1817

http://b/214080882
---
 Dockerfile.tmpl | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 865be8d7..fb54f28c 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -433,6 +433,8 @@ RUN pip install bleach && \
 
 RUN pip install flashtext && \
     pip install wandb && \
+    # b/214080882 blake3 0.3.0 is not compatible with vaex.
+    pip install blake3==0.2.1 && \
     pip install vaex && \
     pip install marisa-trie && \
     pip install pyemd && \

From f4d00d425c4a60aa2c050c00571b966a1d4f799e Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 13 Jan 2022 13:40:39 -0800
Subject: [PATCH 1193/1660] Build Kaggle TPU image (#1116)

TODO:
- Currently fails on Cloud Build but works locally on Cloud Top: https://pantheon.corp.google.com/cloud-build/builds;region=global/904c778d-45c4-4646-9183-f10b18a4910a?project=kkb-infra. May be related to not enough RAM. Will require more investigation.
- TensorFlow related libraries (tensorflow-addons, tensorflow-gcs-config) will need to be recompiled against the new TPU binary.
- Install TPU support for JAX & Pytorch.

http://b/152075195
---
 tpu/Dockerfile            | 13 +++++++++++++
 tpu/README.md             |  9 +++++++++
 tpu/cloudbuild.yaml       | 41 +++++++++++++++++++++++++++++++++++++++
 tpu/tensorflow.Dockerfile | 39 +++++++++++++++++++++++++++++++++++++
 4 files changed, 102 insertions(+)
 create mode 100644 tpu/Dockerfile
 create mode 100644 tpu/README.md
 create mode 100644 tpu/cloudbuild.yaml
 create mode 100644 tpu/tensorflow.Dockerfile

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
new file mode 100644
index 00000000..1c0dac81
--- /dev/null
+++ b/tpu/Dockerfile
@@ -0,0 +1,13 @@
+ARG BASE_IMAGE_TAG
+ARG LIBTPU_IMAGE_TAG
+ARG TENSORFLOW_WHL_IMAGE_TAG
+
+FROM gcr.io/cloud-tpu-v2-images/libtpu:${LIBTPU_IMAGE_TAG} as libtpu
+FROM gcr.io/kaggle-images/python-tpu-tensorflow-whl:${TENSORFLOW_WHL_IMAGE_TAG} AS tensorflow_whl
+FROM gcr.io/kaggle-images/python:${BASE_IMAGE_TAG}
+
+COPY --from=libtpu /libtpu.so /lib
+
+COPY --from=tensorflow_whl /tmp/tensorflow_pkg/tensorflow*.whl /tmp/tensorflow_pkg/
+RUN pip install /tmp/tensorflow_pkg/tensorflow*.whl && \
+    rm -rf /tmp/tensorflow_pkg
\ No newline at end of file
diff --git a/tpu/README.md b/tpu/README.md
new file mode 100644
index 00000000..619a6ae6
--- /dev/null
+++ b/tpu/README.md
@@ -0,0 +1,9 @@
+# Build the Kaggle TPU image
+
+NOTE: Building a new Kaggle TPU image can only be done by members of the Kaggle team.
+
+1. Set the `_BASE_IMAGE_TAG` substitution in [cloudbuild.yaml](cloudbuild.yaml) to the desired version.
+1. Submit the build to Google Cloud Build by running:
+    ```
+    gcloud builds submit --async
+    ```
\ No newline at end of file
diff --git a/tpu/cloudbuild.yaml b/tpu/cloudbuild.yaml
new file mode 100644
index 00000000..8e1d4457
--- /dev/null
+++ b/tpu/cloudbuild.yaml
@@ -0,0 +1,41 @@
+steps:
+- id: 'build-tensorflow-whl'
+  name: 'gcr.io/cloud-builders/docker'
+  args:
+  - build
+  - --rm
+  - --tag=gcr.io/kaggle-images/python-tpu-tensorflow-whl:$BUILD_ID
+  - --file=tensorflow.Dockerfile
+  - --build-arg=BASE_IMAGE_TAG=$_BASE_IMAGE_TAG
+  - .
+
+# TODO(b/152075195): Build JAX & Pytorch TPU enabled packages.
+
+- id: 'build-tpu-image'
+  waitFor: ['build-tensorflow-whl']
+  name: 'gcr.io/cloud-builders/docker'
+  args:
+  - build
+  - --rm
+  - --tag=gcr.io/kaggle-images/python-tpu:$BUILD_ID
+  - --file=Dockerfile
+  - --build-arg=BASE_IMAGE_TAG=$_BASE_IMAGE_TAG
+  - --build-arg=LIBTPU_IMAGE_TAG=$_LIBTPU_IMAGE_TAG
+  - --build-arg=TENSORFLOW_WHL_IMAGE_TAG=$BUILD_ID
+  - .
+
+options:
+  machineType: E2_HIGHCPU_32
+  diskSizeGb: 1000
+
+timeout: 86400s
+
+substitutions:
+  _BASE_IMAGE_TAG: v107
+  _LIBTPU_IMAGE_TAG: libtpu_1.1.0_RC00
+
+images:
+- gcr.io/kaggle-images/python-tpu:$BUILD_ID
+- gcr.io/kaggle-images/python-tpu-tensorflow-whl:$BUILD_ID
+
+tags: ['python', 'tpu']
\ No newline at end of file
diff --git a/tpu/tensorflow.Dockerfile b/tpu/tensorflow.Dockerfile
new file mode 100644
index 00000000..90ea197b
--- /dev/null
+++ b/tpu/tensorflow.Dockerfile
@@ -0,0 +1,39 @@
+ARG BASE_IMAGE_TAG
+
+FROM gcr.io/kaggle-images/python:${BASE_IMAGE_TAG} AS builder
+
+# Use Bazelisk to ensure the proper bazel version is used.
+RUN cd /usr/local/src && \
+    wget --no-verbose "https://github.com/bazelbuild/bazelisk/releases/download/v1.11.0/bazelisk-linux-amd64" && \
+    mv bazelisk-linux-amd64 /usr/local/bin/bazel && \
+    chmod u+x /usr/local/bin/bazel
+
+# Fetch TensorFlow & install dependencies.
+RUN cd /usr/local/src && \
+    git clone https://github.com/tensorflow/tensorflow && \
+    cd tensorflow && \
+    git checkout tags/v${TENSORFLOW_VERSION} && \
+    # TODO(rosbo): Is it really needed?
+    pip install keras_applications --no-deps && \
+    pip install keras_preprocessing --no-deps
+
+# Create a TensorFlow wheel for CPU
+RUN cd /usr/local/src/tensorflow && \
+    cat /dev/null | ./configure && \
+    bazel build \
+            --config=opt \
+            --distinct_host_configuration=true \
+            --define=framework_shared_object=true \
+            --define=with_tpu_support=true \
+            --copt=-DLIBTPU_ON_GCE \
+        //tensorflow/tools/pip_package:build_pip_package \
+            --local_ram_resources=HOST_RAM*.5
+
+RUN cd /usr/local/src/tensorflow && \
+    bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg
+
+# TODO(b/152075195): Will likely need to install custom build for TFA & tensorflow-gcs-config
+
+# Use multi-stage builds to minimize image output size.
+FROM alpine:latest
+COPY --from=builder /tmp/tensorflow_pkg/tensorflow*.whl /tmp/tensorflow_pkg/
\ No newline at end of file

From 86e25267019704ce2db3fdeb01d4ebcf00bee35f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 18 Jan 2022 13:00:26 -0800
Subject: [PATCH 1194/1660] Pin torchmetrics. (#1123)

`torchmetrics` 0.7.0 released yesterday (Jan 17th 2022) is causing an issue with pytorch_lightning: https://github.com/PyTorchLightning/pytorch-lightning/issues/11524
---
 Dockerfile.tmpl | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index fb54f28c..34a83b6f 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -483,7 +483,8 @@ RUN pip install flashtext && \
     pip install vowpalwabbit && \
     pip install pydub && \
     pip install pydegensac && \
-    pip install torchmetrics && \
+    # b/215182966 torchmetrics 0.7.0 is causing an issue with pytorch-lightning.
+    pip install torchmetrics==0.6.2 && \
     pip install pytorch-lightning && \
     pip install datatable && \
     pip install sympy && \

From f0ed64413ddc07be3ab4799b442fbf789c89251e Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 18 Jan 2022 16:01:22 -0800
Subject: [PATCH 1195/1660] Upgrade base image to m88. (#1122)

* Upgrade base image to m88.

Remove unnecessary pin on statsmodels following tsfresh new release
including this fix: https://github.com/blue-yonder/tsfresh/issues/897

http://b/215027867

* pin setuptools to 59.5.0 in torch build
---
 Dockerfile.tmpl           | 2 --
 config.txt                | 2 +-
 packages/torch.Dockerfile | 2 +-
 3 files changed, 2 insertions(+), 4 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 34a83b6f..643bf638 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -461,8 +461,6 @@ RUN pip install flashtext && \
     # b/205704651 remove install cmd for matrixprofile after version > 1.1.10 is released.
     pip install git+https://github.com/matrix-profile-foundation/matrixprofile.git@6bea7d4445284dbd9700a097974ef6d4613fbca7 && \
     pip install tsfresh && \
-    # b/204442455 unpin once tsfresh is compatible with latest version of statsmodels.
-    pip install statsmodels==0.12.2 && \
     pip install pykalman && \
     pip install optuna && \
     pip install plotly_express && \
diff --git a/config.txt b/config.txt
index efaca6e5..c030538f 100644
--- a/config.txt
+++ b/config.txt
@@ -1,5 +1,5 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
-BASE_IMAGE_TAG=m87
+BASE_IMAGE_TAG=m88
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-6
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-6
 LIGHTGBM_VERSION=3.3.1
diff --git a/packages/torch.Dockerfile b/packages/torch.Dockerfile
index de451730..69c2655c 100644
--- a/packages/torch.Dockerfile
+++ b/packages/torch.Dockerfile
@@ -11,7 +11,7 @@ ARG TORCHVISION_VERSION
 RUN test -n "$TORCHVISION_VERSION"
 
 # Build instructions: https://github.com/pytorch/pytorch#from-source
-RUN conda install astunparse numpy ninja pyyaml mkl mkl-include setuptools cmake cffi typing_extensions future six requests dataclasses
+RUN conda install astunparse numpy ninja pyyaml mkl mkl-include setuptools==59.5.0 cmake cffi typing_extensions future six requests dataclasses
 
 # By default, it uses the version from version.txt which includes the `a0` (alpha zero) suffix and part of the git hash.
 # This causes dependency conflicts like these: https://paste.googleplex.com/4786486378496000

From 9e8db9defcb160e63bbad3d78e8ac05f8a9200bd Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 20 Jan 2022 12:57:42 -0800
Subject: [PATCH 1196/1660] Use CUDA 11.0 compatible JAX version. (#1124)

- Added additional smoke tests for jax and flax.

http://215555626
---
 Dockerfile.tmpl    |  2 +-
 tests/test_flax.py | 39 ++++++++++++++++++++++++++++++++++++++-
 tests/test_jax.py  |  6 ++++++
 3 files changed, 45 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 643bf638..30077a3d 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -114,7 +114,7 @@ RUN pip install lightgbm==$LIGHTGBM_VERSION && \
 
 # Install JAX
 {{ if eq .Accelerator "gpu" }}
-RUN pip install jax[cuda] -f https://storage.googleapis.com/jax-releases/jax_releases.html && \
+RUN pip install jax[cuda11_cudnn805] -f https://storage.googleapis.com/jax-releases/jax_releases.html && \
     /tmp/clean-layer.sh
 {{ else }}
 RUN pip install jax[cpu] && \
diff --git a/tests/test_flax.py b/tests/test_flax.py
index d1d1b63e..a420ab54 100644
--- a/tests/test_flax.py
+++ b/tests/test_flax.py
@@ -1,15 +1,52 @@
 import unittest
 
+import jax
 import jax.numpy as jnp
 import numpy as np
+import optax
 
 from flax import linen as nn
+from flax.training import train_state 
 
 
 class TestFlax(unittest.TestCase):
 
-    def test_bla(self):
+    def test_pooling(self):
         x = jnp.full((1, 3, 3, 1), 2.)
         mul_reduce = lambda x, y: x * y
         y = nn.pooling.pool(x, 1., mul_reduce, (2, 2), (1, 1), 'VALID')
         np.testing.assert_allclose(y, np.full((1, 2, 2, 1), 2. ** 4))
+
+    def test_cnn(self):
+        class CNN(nn.Module):
+            @nn.compact
+            def __call__(self, x):
+                x = nn.Conv(features=32, kernel_size=(3, 3))(x)
+                x = nn.relu(x)
+                x = nn.avg_pool(x, window_shape=(2, 2), strides=(2, 2))
+                x = nn.Conv(features=64, kernel_size=(3, 3))(x)
+                x = nn.relu(x)
+                x = nn.avg_pool(x, window_shape=(2, 2), strides=(2, 2))
+                x = x.reshape((x.shape[0], -1))
+                x = nn.Dense(features=256)(x)
+                x = nn.relu(x)
+                x = nn.Dense(features=120)(x)   
+                x = nn.log_softmax(x)
+                return x
+            
+        def create_train_state(rng, learning_rate, momentum):
+            cnn = CNN()
+            params = cnn.init(rng, jnp.ones([1, 224, 224, 3]))['params']
+            tx = optax.sgd(learning_rate, momentum)
+            return train_state.TrainState.create(
+            apply_fn=cnn.apply, params=params, tx=tx)
+
+        rng = jax.random.PRNGKey(0)
+        rng, init_rng = jax.random.split(rng)
+
+        learning_rate = 2e-5
+        momentum = 0.9
+        state = create_train_state(init_rng, learning_rate, momentum)
+        self.assertEqual(0, state.step)
+
+
diff --git a/tests/test_jax.py b/tests/test_jax.py
index 1847ceec..da95c537 100644
--- a/tests/test_jax.py
+++ b/tests/test_jax.py
@@ -1,4 +1,6 @@
 import unittest
+
+import os
 import time
 
 import jax.numpy as np
@@ -16,3 +18,7 @@ def test_grad(self):
         grad_tanh = grad(self.tanh)
         ag = grad_tanh(1.0)
         self.assertEqual(0.4199743, ag)
+
+    def test_backend(self):
+        expected_backend = 'cpu' if len(os.environ.get('CUDA_VERSION', '')) == 0 else 'gpu'
+

From 3cbacc0a70016c2a18b5820d59688dd8562be929 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Tue, 25 Jan 2022 12:47:10 -0500
Subject: [PATCH 1197/1660] Fix spacy by pinning mlk version (#1126)

Also install the GPU version of spacy.

http://b/216162758
---
 Dockerfile.tmpl | 12 +++++++++++-
 1 file changed, 11 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 30077a3d..75a2418d 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -69,7 +69,8 @@ RUN conda config --add channels nvidia && \
     conda config --add channels rapidsai && \
     # Base image channel order: conda-forge (highest priority), defaults.
     # End state: rapidsai (highest priority), nvidia, conda-forge, defaults.
-    conda install mkl cartopy=0.19 imagemagick=7.1 pyproj==3.1.0 && \
+    # b/216162758 Pin mkl which last version breaks spacy.
+    conda install mkl=2021.4.0 cartopy=0.19 imagemagick=7.1 pyproj==3.1.0 && \
     /tmp/clean-layer.sh
 
 {{ if eq .Accelerator "gpu" }}
@@ -130,6 +131,15 @@ RUN pip install mxnet && \
     /tmp/clean-layer.sh
 {{ end}}
 
+# Install spacy
+{{ if eq .Accelerator "gpu" }}
+RUN pip install spacy[cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION] && \
+    /tmp/clean-layer.sh
+{{ else }}
+RUN pip install spacy && \
+    /tmp/clean-layer.sh
+{{ end}}
+
 # Install GPU specific packages
 {{ if eq .Accelerator "gpu" }}
 # Install GPU-only packages

From 4cc1cd5ab2d0185597bce953a3f09611fb9bb1f9 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Tue, 25 Jan 2022 14:26:17 -0500
Subject: [PATCH 1198/1660] Make the KMP logs noverbose (#1127)

See https://stackoverflow.com/questions/70250304/stop-tensorflow-from-printing-warning-message
---
 Dockerfile.tmpl | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 75a2418d..b36eef2c 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -37,6 +37,9 @@ ARG TORCHVISION_VERSION
 # Disable pesky logs like: KMP_AFFINITY: pid 6121 tid 6121 thread 0 bound to OS proc set 0 
 # See: https://stackoverflow.com/questions/57385766/disable-tensorflow-log-information
 ENV KMP_WARNINGS=0
+# Also make the KMP logs noverbose.
+# https://stackoverflow.com/questions/70250304/stop-tensorflow-from-printing-warning-message
+ENV KMP_AFFINITY="granularity=fine,noverbose,compact,1,0"
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl

From d844136aa6002271ee862c105a4bf7472a3fb31c Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Thu, 3 Feb 2022 16:14:12 -0500
Subject: [PATCH 1199/1660] pin fury==0.7.1 to fix breakage

Version 0.8.0 causes test_dipy to break with ImportError: cannot import name 'vtk' from 'fury.window'

http://b/217761018
---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index b36eef2c..0b598fa4 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -315,7 +315,7 @@ RUN pip install mpld3 && \
     pip install folium && \
     pip install scikit-plot && \
     # dipy requires the optional fury dependency for visualizations.
-    pip install fury dipy && \
+    pip install fury==0.7.1 dipy && \
     pip install plotnine && \
     pip install scikit-surprise && \
     pip install pymongo && \

From 0f4abeae3169ba7154a6a524f40455c21216c515 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Thu, 3 Feb 2022 16:16:29 -0500
Subject: [PATCH 1200/1660] Update Dockerfile.tmpl

---
 Dockerfile.tmpl | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 0b598fa4..d0de7ad1 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -315,6 +315,7 @@ RUN pip install mpld3 && \
     pip install folium && \
     pip install scikit-plot && \
     # dipy requires the optional fury dependency for visualizations.
+    # b/217761018 pinned fury to fix test
     pip install fury==0.7.1 dipy && \
     pip install plotnine && \
     pip install scikit-surprise && \

From b055d915df242589ae74d343bb35ba136da8fd8f Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Tue, 8 Feb 2022 14:11:04 -0500
Subject: [PATCH 1201/1660] Set KMP_SETTINGS to false to avoid Tensorflow
 warning message (#1130)

http://b/218492749
---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index d0de7ad1..4d2458a3 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -39,7 +39,7 @@ ARG TORCHVISION_VERSION
 ENV KMP_WARNINGS=0
 # Also make the KMP logs noverbose.
 # https://stackoverflow.com/questions/70250304/stop-tensorflow-from-printing-warning-message
-ENV KMP_AFFINITY="granularity=fine,noverbose,compact,1,0"
+ENV KMP_SETTINGS=false
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl

From 5978db898b002dcaec05971f488a19bc64fe140a Mon Sep 17 00:00:00 2001
From: herbison <herbison@google.com>
Date: Tue, 15 Feb 2022 12:25:47 -0500
Subject: [PATCH 1202/1660] Get tensorflow, jax, and pytorch working on TPU1VM

http://b/213335159
---
 tpu/Dockerfile            | 11 ++++++++++-
 tpu/tensorflow.Dockerfile | 19 +++++++++++++++++--
 2 files changed, 27 insertions(+), 3 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 1c0dac81..7f517e18 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -10,4 +10,13 @@ COPY --from=libtpu /libtpu.so /lib
 
 COPY --from=tensorflow_whl /tmp/tensorflow_pkg/tensorflow*.whl /tmp/tensorflow_pkg/
 RUN pip install /tmp/tensorflow_pkg/tensorflow*.whl && \
-    rm -rf /tmp/tensorflow_pkg
\ No newline at end of file
+    rm -rf /tmp/tensorflow_pkg
+
+# https://cloud.google.com/tpu/docs/pytorch-xla-ug-tpu-vm#changing_pytorch_version
+RUN pip uninstall -y torch
+RUN pip uninstall -y torch_xla
+RUN pip install torch==1.10
+RUN pip install torch_xla[tpuvm] -f https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-1.10-cp37-cp37m-linux_x86_64.whl
+
+# https://cloud.google.com/tpu/docs/jax-quickstart-tpu-vm#install_jax_on_your_cloud_tpu_vm
+RUN pip install "jax[tpu]>=0.2.16" -f https://storage.googleapis.com/jax-releases/libtpu_releases.html
\ No newline at end of file
diff --git a/tpu/tensorflow.Dockerfile b/tpu/tensorflow.Dockerfile
index 90ea197b..3dc862f3 100644
--- a/tpu/tensorflow.Dockerfile
+++ b/tpu/tensorflow.Dockerfile
@@ -17,7 +17,7 @@ RUN cd /usr/local/src && \
     pip install keras_applications --no-deps && \
     pip install keras_preprocessing --no-deps
 
-# Create a TensorFlow wheel for CPU
+# Create a TensorFlow wheel for TPU
 RUN cd /usr/local/src/tensorflow && \
     cat /dev/null | ./configure && \
     bazel build \
@@ -32,7 +32,22 @@ RUN cd /usr/local/src/tensorflow && \
 RUN cd /usr/local/src/tensorflow && \
     bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg
 
-# TODO(b/152075195): Will likely need to install custom build for TFA & tensorflow-gcs-config
+# Build TensorFlow addons library against TensorFlow CPU.
+#RUN cd /usr/local/src/ && \
+#    git clone https://github.com/tensorflow/addons && \
+#    cd addons && \
+#    git checkout tags/v0.12.1 && \
+#    python ./configure.py && \
+#    bazel build --enable_runfiles build_pip_pkg && \
+#    bazel-bin/build_pip_pkg /tmp/tfa_cpu && \
+#    bazel clean
+
+# Build tensorflow_gcs_config library against TensorFlow CPU.
+#ADD tensorflow-gcs-config /usr/local/src/tensorflow_gcs_config/
+#RUN cd /usr/local/src/tensorflow_gcs_config && \
+#    apt-get install -y libcurl4-openssl-dev && \
+#    python setup.py bdist_wheel -d /tmp/tensorflow_gcs_config && \
+#    bazel clean
 
 # Use multi-stage builds to minimize image output size.
 FROM alpine:latest

From f3a08dd455d2e49aa3b391c7561ac3b630fa7c2d Mon Sep 17 00:00:00 2001
From: Jim Plotts <jplotts@google.com>
Date: Sat, 26 Feb 2022 14:50:26 -0500
Subject: [PATCH 1203/1660] Update test_catalyst. (#1134)

---
 tests/test_catalyst.py | 18 +++++++++++++-----
 1 file changed, 13 insertions(+), 5 deletions(-)

diff --git a/tests/test_catalyst.py b/tests/test_catalyst.py
index 48b2934b..3b9c97d4 100644
--- a/tests/test_catalyst.py
+++ b/tests/test_catalyst.py
@@ -141,10 +141,18 @@ def test_mnist(self):
             logdir=logdir,
             num_epochs=num_epochs,
             verbose=False,
-            callbacks=[CheckpointCallback(save_n_best=3, use_runner_logdir=True)]
+            callbacks=[CheckpointCallback(
+                logdir,
+                topk=3,
+                save_best=True,
+                loader_key="valid",
+                metric_key="loss",
+                minimize=True)]
         )
-        
-        with open('./logs/_metrics.json') as f:
+
+        with open('./logs/model.storage.json') as f:
             metrics = json.load(f)
-            self.assertTrue(metrics['train.3']['valid']['loss'] < metrics['train.1']['valid']['loss'])
-            self.assertTrue(metrics['best']['valid']['loss'] < 0.35)
+            storage = metrics['storage']
+            self.assertEqual(3, len(storage))
+            self.assertTrue(storage[0]['metric'] < storage[2]['metric'])
+            self.assertTrue(storage[0]['metric']< 0.35)

From 59d6b8a618c9c1ccbf0d9cb5411e7e2e9a122444 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 15 Mar 2022 08:59:29 -0700
Subject: [PATCH 1204/1660] Remove pin of fury (#1137)

Latest version of dipy (1.5.0) released last week requires the latest
version of fury (0.8.0).

http://b/224623471
---
 Dockerfile.tmpl | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 4d2458a3..4a1012b7 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -314,9 +314,7 @@ RUN pip install mpld3 && \
     pip install lightfm && \
     pip install folium && \
     pip install scikit-plot && \
-    # dipy requires the optional fury dependency for visualizations.
-    # b/217761018 pinned fury to fix test
-    pip install fury==0.7.1 dipy && \
+    pip install fury dipy && \
     pip install plotnine && \
     pip install scikit-surprise && \
     pip install pymongo && \

From 66a12acb6bb1e920b88f65331e5609136067fe02 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 28 Mar 2022 13:02:46 -0700
Subject: [PATCH 1205/1660] Install latest version of nbconvert to fix Jinja
 issue. (#1141)

The latest version of Jinja changed the import for `Markup`.

The import was fixed in the latest version of `nbconvert`: https://github.com/jupyter/nbconvert/issues/1736

We include the version of `nbconvert` from the DLVM base image which is
released every ~2 weeks. However, the `nbconvert` fix was released only
6 hours ago.

Temporarily install thel latest version of `nbconvert`.

Add a test to prevent regression.

http://b/227194111
---
 Dockerfile.tmpl                 |  4 ++--
 tests/test_jupyter_nbconvert.py | 20 ++++++++++++++++++--
 2 files changed, 20 insertions(+), 4 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 4a1012b7..483402e4 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -389,14 +389,14 @@ RUN pip install bleach && \
     pip install ipywidgets && \
     pip install isoweek && \
     pip install jedi && \
-    pip install Jinja2 && \
     pip install jsonschema && \
     pip install jupyter-client && \
     pip install jupyter-console && \
     pip install jupyter-core && \
     pip install MarkupSafe && \
     pip install mistune && \
-    pip install nbconvert && \
+    # b/227194111 install latest version of nbconvert until the base image includes nbconvert >= 6.4.5
+    pip install --upgrade nbconvert Jinja2 && \
     pip install nbformat && \
     pip install notebook && \
     pip install papermill && \
diff --git a/tests/test_jupyter_nbconvert.py b/tests/test_jupyter_nbconvert.py
index b3925993..f2549a50 100644
--- a/tests/test_jupyter_nbconvert.py
+++ b/tests/test_jupyter_nbconvert.py
@@ -3,7 +3,7 @@
 import subprocess
 
 class TestJupyterNbconvert(unittest.TestCase):
-    def test_nbconvert(self):
+    def test_nbconvert_to_notebook(self):
         result = subprocess.run([
             'jupyter',
             'nbconvert',
@@ -17,4 +17,20 @@ def test_nbconvert(self):
         ], stdout=subprocess.PIPE)
 
         self.assertEqual(0, result.returncode)
-        self.assertTrue(b'999' in result.stdout)
\ No newline at end of file
+        self.assertTrue(b'999' in result.stdout)
+
+    def test_nbconvert_to_html(self):
+        result = subprocess.run([
+            'jupyter',
+            'nbconvert',
+            '--to',
+            'html',
+            '--template',
+            '/opt/kaggle/nbconvert-extensions.tpl',
+            '--execute',
+            '--stdout',
+            '/input/tests/data/notebook.ipynb',
+        ], stdout=subprocess.PIPE)
+
+        self.assertEqual(0, result.returncode)
+        self.assertTrue(b'999' in result.stdout)

From f4d72626505c19fb6b8a419ae6296ef8c15969cb Mon Sep 17 00:00:00 2001
From: Nikolay Petrov <nikolay.a.petrov@intel.com>
Date: Tue, 29 Mar 2022 00:41:33 +0300
Subject: [PATCH 1206/1660] Adding scikit-learn-intelex package (#1135)

---
 Dockerfile.tmpl | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 483402e4..f1f5a644 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -212,6 +212,8 @@ RUN pip install ibis-framework && \
 
 RUN pip install scipy && \
     pip install scikit-learn && \
+    # Scikit-learn accelerated library for x86 
+    pip install scikit-learn-intelex && \
     # HDF5 support
     pip install h5py && \
     pip install biopython && \

From 98ca09fe168b2d769a60829435bac8fd42448543 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 29 Mar 2022 11:50:25 -0700
Subject: [PATCH 1207/1660] Add smoke test for sklearnex (#1143)

sklearnex was added in #1135

http://227237481
---
 tests/test_sklearnex.py | 12 ++++++++++++
 1 file changed, 12 insertions(+)
 create mode 100644 tests/test_sklearnex.py

diff --git a/tests/test_sklearnex.py b/tests/test_sklearnex.py
new file mode 100644
index 00000000..5809570a
--- /dev/null
+++ b/tests/test_sklearnex.py
@@ -0,0 +1,12 @@
+import unittest
+
+import numpy as np
+
+class TestSklearnex(unittest.TestCase):
+    def test_dbscan(self):
+        from sklearnex.cluster import DBSCAN
+        X = np.array([[1., 2.], [2., 2.], [2., 3.],
+            [8., 7.], [8., 8.], [25., 80.]], dtype=np.float32)
+
+        clustering = DBSCAN(eps=3, min_samples=2).fit(X)
+        np.testing.assert_array_equal(np.array([0, 0, 0, 1, 1, -1]), clustering.labels_)
\ No newline at end of file

From 4d79daade93770fc31c914903c807ad509fc27d9 Mon Sep 17 00:00:00 2001
From: Jim Plotts <jplotts@google.com>
Date: Thu, 31 Mar 2022 06:38:48 -0400
Subject: [PATCH 1208/1660] Add dependencies necessary for LSP-based
 autocomplete. (#1144)

* Add jupyterlab-lsp dependency.

This is required for making LSP-based autocompletion work in the
Notebook Editor.

The tsfresh test had to be changed to single-threaded, as the
multi-threaded cleanup process was hanging trying to kill the jupyter
server that was initialized but not running.

http://b/211487924

* Add python-lsp-server.

This is required for LSP-based autocomplete.

b/211487924
---
 Dockerfile.tmpl                 |  2 ++
 tests/test_jupyterlab_lsp.py    | 31 +++++++++++++++++++++++++++++++
 tests/test_python_lsp_server.py | 18 ++++++++++++++++++
 tests/test_tsfresh.py           |  2 +-
 4 files changed, 52 insertions(+), 1 deletion(-)
 create mode 100644 tests/test_jupyterlab_lsp.py
 create mode 100644 tests/test_python_lsp_server.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index f1f5a644..62d87eac 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -395,6 +395,7 @@ RUN pip install bleach && \
     pip install jupyter-client && \
     pip install jupyter-console && \
     pip install jupyter-core && \
+    pip install jupyterlab-lsp && \
     pip install MarkupSafe && \
     pip install mistune && \
     # b/227194111 install latest version of nbconvert until the base image includes nbconvert >= 6.4.5
@@ -402,6 +403,7 @@ RUN pip install bleach && \
     pip install nbformat && \
     pip install notebook && \
     pip install papermill && \
+    pip install python-lsp-server[all] && \
     pip install olefile && \
     # b/198300835 kornia 0.5.10 is not compatible with our version of numpy.
     pip install kornia==0.5.8 && \
diff --git a/tests/test_jupyterlab_lsp.py b/tests/test_jupyterlab_lsp.py
new file mode 100644
index 00000000..34b8774c
--- /dev/null
+++ b/tests/test_jupyterlab_lsp.py
@@ -0,0 +1,31 @@
+import os
+import unittest
+
+from jupyter_server.serverapp import ServerApp
+
+# Adapted from:
+# https://github.com/jupyter-lsp/jupyterlab-lsp/blob/ce76fab170feea506faf9ef47e4bd6a468c24313/python_packages/jupyter_lsp/jupyter_lsp/tests/test_extension.py
+class TestJupyterLabLsp(unittest.TestCase):
+    def test_serverextension_path(self):
+        import jupyter_lsp
+        paths = jupyter_lsp._jupyter_server_extension_paths()
+        for path in paths:
+            self.assertTrue(__import__(path["module"]))
+
+
+    def test_serverextension(self):
+        app = ServerApp()
+        app.initialize(
+            ["--ServerApp.jpserver_extensions={'jupyter_lsp.serverextension': True}"],
+            new_httpserver=False,
+        )
+        self.assertTrue(app.language_server_manager)
+
+        found_lsp = False
+        for r in app.web_app.default_router.rules:
+            for rr in r.target.rules:
+                if "/lsp/" in str(rr.matcher.regex):
+                    found_lsp = True
+
+        self.assertTrue(found_lsp, "didn't install the /lsp/ route")
+
diff --git a/tests/test_python_lsp_server.py b/tests/test_python_lsp_server.py
new file mode 100644
index 00000000..b26df4b5
--- /dev/null
+++ b/tests/test_python_lsp_server.py
@@ -0,0 +1,18 @@
+import subprocess
+import unittest
+
+
+class TestPythonLspServer(unittest.TestCase):
+    def test_initialize(self):
+        server = subprocess.Popen(
+            'python -m pylsp --check-parent-process',
+            shell=True,
+            stdin=subprocess.PIPE,
+            stdout=subprocess.PIPE)
+
+        response = server.communicate(input=
+            b'Content-Length: 67\r\n'
+            b'Content-Type: application/vscode-jsonrpc; charset=utf8\r\n'
+            b'\r\n'
+            b'{"id": "a", "jsonrpc": "2.0", "method": "initialize", "params": {}}')[0]
+        assert 'capabilities' in response.decode('utf-8')
diff --git a/tests/test_tsfresh.py b/tests/test_tsfresh.py
index 8a1dbd55..b9d6a92f 100644
--- a/tests/test_tsfresh.py
+++ b/tests/test_tsfresh.py
@@ -12,7 +12,7 @@ def test_extract_feature(self):
             'time': np.array([0,1,2,0,1,2]),
             'x': np.array([3,4,5,7,8,10])
         })
-        extracted_features = extract_features(ts, column_id='id', column_sort='time')
+        extracted_features = extract_features(ts, column_id='id', column_sort='time', n_jobs=1)
         self.assertEqual(2, len(extracted_features))
 
 

From f069226da21864af19fb0fa2e4a93beebcbb0b27 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 5 Apr 2022 15:36:58 -0700
Subject: [PATCH 1209/1660] Upgrade base image to m91 (#1142)

http://b/227193319
---
 Dockerfile.tmpl | 5 ++---
 config.txt      | 2 +-
 2 files changed, 3 insertions(+), 4 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 62d87eac..f9785d6c 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -72,8 +72,7 @@ RUN conda config --add channels nvidia && \
     conda config --add channels rapidsai && \
     # Base image channel order: conda-forge (highest priority), defaults.
     # End state: rapidsai (highest priority), nvidia, conda-forge, defaults.
-    # b/216162758 Pin mkl which last version breaks spacy.
-    conda install mkl=2021.4.0 cartopy=0.19 imagemagick=7.1 pyproj==3.1.0 && \
+    conda install mkl cartopy=0.19 imagemagick=7.1 pyproj==3.1.0 && \
     /tmp/clean-layer.sh
 
 {{ if eq .Accelerator "gpu" }}
@@ -155,7 +154,7 @@ RUN pip install pycuda && \
 
 RUN pip install pysal && \
     pip install seaborn python-dateutil dask python-igraph && \
-    pip install pyyaml joblib husl geopy ml_metrics mne pyshp && \
+    pip install pyyaml joblib husl geopy mne pyshp && \
     pip install pandas && \
     pip install flax && \
     # Install h2o from source.
diff --git a/config.txt b/config.txt
index c030538f..160058cd 100644
--- a/config.txt
+++ b/config.txt
@@ -1,5 +1,5 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
-BASE_IMAGE_TAG=m88
+BASE_IMAGE_TAG=m91
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-6
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-6
 LIGHTGBM_VERSION=3.3.1

From b097f2ea64b10b95f5f8506f0d2d07822e5ca79d Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 26 Apr 2022 09:21:47 -0700
Subject: [PATCH 1210/1660] Upgrade to latest version of prophet (1.0.1)
 (#1150)

- The package has changed names: https://github.com/facebook/prophet#version-10-20210328
---
 Dockerfile.tmpl         | 4 +---
 tests/test_fbprophet.py | 2 +-
 2 files changed, 2 insertions(+), 4 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index f9785d6c..24070dc1 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -278,8 +278,6 @@ RUN pip install mpld3 && \
     pip install pyldavis==3.2.2 && \
     pip install mlxtend && \
     pip install altair && \
-    # b/183944405 pystan 3.x is not compatible with fbprophet.
-    pip install pystan==2.19.1.1 && \
     pip install ImageHash && \
     pip install ecos && \
     pip install CVXcanon && \
@@ -302,7 +300,7 @@ RUN pip install mpld3 && \
     pip install pyexcel-ods && \
     pip install sklearn-pandas && \
     pip install stemming && \
-    pip install fbprophet && \
+    pip install prophet && \
     pip install holoviews && \
     pip install geoviews && \
     pip install hypertools && \
diff --git a/tests/test_fbprophet.py b/tests/test_fbprophet.py
index ecb69697..60566f8b 100644
--- a/tests/test_fbprophet.py
+++ b/tests/test_fbprophet.py
@@ -3,7 +3,7 @@
 import numpy as np
 import pandas as pd
 
-from fbprophet import Prophet
+from prophet import Prophet
 
 class TestFbProphet(unittest.TestCase):
     def test_fit(self):

From f1a3cfc6ee71899b1af8d76598b42a2da280448d Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 29 Apr 2022 10:02:23 -0700
Subject: [PATCH 1211/1660] Fix NVIDIA GPG key issue. (#1151)

Context: https://github.com/NVIDIA/nvidia-docker/issues/1631

The next `deeplearning-platform-release/tf2-gpu.2-6` should remove the
need for this workaround.

http://b/230864778
---
 Dockerfile.tmpl | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 24070dc1..a4e5e6b1 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -54,6 +54,10 @@ RUN pip uninstall -y horovod && \
 # Use a fixed apt-get repo to stop intermittent failures due to flaky httpredir connections,
 # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
 RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \
+    # b/230864778: Temporarily swap the NVIDIA GPG key. Remove once new base image with new GPG key is released.
+    rm /etc/apt/sources.list.d/cuda.list && \
+    apt-key del 7fa2af80 && \
+    apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/7fa2af80.pub && \
     apt-get update && \
     # Needed by lightGBM (GPU build)
     # https://lightgbm.readthedocs.io/en/latest/GPU-Tutorial.html#build-lightgbm

From 2e43fcc51fe192dd1ce281dc6a06a3b133c3473f Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 29 Apr 2022 14:22:32 -0700
Subject: [PATCH 1212/1660] Add Hugging Face datasets (#1152)

- Included a smoke test
- Fix apt-key issue

http://b/230657835
---
 Dockerfile.tmpl           | 12 ++++++++----
 tests/test_hf_datasets.py | 16 ++++++++++++++++
 2 files changed, 24 insertions(+), 4 deletions(-)
 create mode 100644 tests/test_hf_datasets.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index a4e5e6b1..0cbd3cb0 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -51,13 +51,16 @@ RUN pip uninstall -y horovod && \
     /tmp/clean-layer.sh
 {{ end }}
 
+{{ if eq .Accelerator "gpu" }}
+# b/230864778: Temporarily swap the NVIDIA GPG key. Remove once new base image with new GPG key is released.
+RUN rm /etc/apt/sources.list.d/cuda.list && \
+    apt-key del 7fa2af80 && \
+    apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/7fa2af80.pub
+{{ end }}
+
 # Use a fixed apt-get repo to stop intermittent failures due to flaky httpredir connections,
 # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
 RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \
-    # b/230864778: Temporarily swap the NVIDIA GPG key. Remove once new base image with new GPG key is released.
-    rm /etc/apt/sources.list.d/cuda.list && \
-    apt-key del 7fa2af80 && \
-    apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/7fa2af80.pub && \
     apt-get update && \
     # Needed by lightGBM (GPU build)
     # https://lightgbm.readthedocs.io/en/latest/GPU-Tutorial.html#build-lightgbm
@@ -491,6 +494,7 @@ RUN pip install flashtext && \
     pip install bqplot && \
     pip install earthengine-api && \
     pip install transformers && \
+    pip install datasets && \
     pip install dlib && \
     pip install kaggle-environments && \
     pip install geopandas && \
diff --git a/tests/test_hf_datasets.py b/tests/test_hf_datasets.py
new file mode 100644
index 00000000..15a15ec9
--- /dev/null
+++ b/tests/test_hf_datasets.py
@@ -0,0 +1,16 @@
+import unittest
+
+from datasets import Dataset
+
+
+class TestHuggingFaceDatasets(unittest.TestCase):
+
+    def test_map(self):
+        def some_func(batch):
+            batch['label'] = 'foo'
+            return batch
+            
+        df = Dataset.from_dict({'text': ['Kaggle rocks!']})
+        mapped_df = df.map(some_func)
+        
+        self.assertEqual('foo', mapped_df[0]['label'])
\ No newline at end of file

From 2ac680f0f9cfb258acaf97b2385b9c73997ee26c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 10 May 2022 09:09:27 -0700
Subject: [PATCH 1213/1660] Fix MAGMA PyTorch issue with GPU (#1154)

- Add test to prevent regression.

http://b/231736279
---
 Dockerfile.tmpl           | 9 ++++++---
 Jenkinsfile               | 2 ++
 config.txt                | 2 ++
 packages/torch.Dockerfile | 3 +++
 tests/test_pytorch.py     | 8 ++++++++
 5 files changed, 21 insertions(+), 3 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 0cbd3cb0..47758dc1 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -12,8 +12,10 @@ ARG TORCHVISION_VERSION
 FROM gcr.io/kaggle-images/python-lightgbm-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${LIGHTGBM_VERSION} AS lightgbm_whl
 FROM gcr.io/kaggle-images/python-torch-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${TORCH_VERSION} AS torch_whl
 FROM ${BASE_IMAGE_REPO}/${GPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
-ENV CUDA_MAJOR_VERSION=11
-ENV CUDA_MINOR_VERSION=0
+ARG CUDA_MAJOR_VERSION
+ARG CUDA_MINOR_VERSION
+ENV CUDA_MAJOR_VERSION=${CUDA_MAJOR_VERSION}
+ENV CUDA_MINOR_VERSION=${CUDA_MINOR_VERSION}
 # NVIDIA binaries from the host are mounted to /opt/bin.
 ENV PATH=/opt/bin:${PATH}
 # Add CUDA stubs to LD_LIBRARY_PATH to support building the GPU image on a CPU machine.
@@ -99,7 +101,8 @@ RUN conda install implicit && \
 # Install PyTorch
 {{ if eq .Accelerator "gpu" }}
 COPY --from=torch_whl /tmp/whl/*.whl /tmp/torch/
-RUN pip install /tmp/torch/*.whl && \
+RUN conda install -c pytorch magma-cuda${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION} && \
+    pip install /tmp/torch/*.whl && \
     rm -rf /tmp/torch && \
     /tmp/clean-layer.sh
 {{ else }}
diff --git a/Jenkinsfile b/Jenkinsfile
index 157fd79b..4ee73db8 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -37,6 +37,8 @@ pipeline {
                 --build-arg TORCHAUDIO_VERSION=$TORCHAUDIO_VERSION \
                 --build-arg TORCHTEXT_VERSION=$TORCHTEXT_VERSION \
                 --build-arg TORCHVISION_VERSION=$TORCHVISION_VERSION \
+                --build-arg CUDA_MAJOR_VERSION=$CUDA_MAJOR_VERSION \
+                --build-arg CUDA_MINOR_VERSION=$CUDA_MINOR_VERSION \
                 --push
             '''
           }
diff --git a/config.txt b/config.txt
index 160058cd..a8f93d7d 100644
--- a/config.txt
+++ b/config.txt
@@ -7,3 +7,5 @@ TORCH_VERSION=1.9.1
 TORCHAUDIO_VERSION=0.9.1
 TORCHTEXT_VERSION=0.10.1
 TORCHVISION_VERSION=0.10.1
+CUDA_MAJOR_VERSION=11
+CUDA_MINOR_VERSION=0
\ No newline at end of file
diff --git a/packages/torch.Dockerfile b/packages/torch.Dockerfile
index 69c2655c..2f72ca3b 100644
--- a/packages/torch.Dockerfile
+++ b/packages/torch.Dockerfile
@@ -6,12 +6,15 @@ ARG PACKAGE_VERSION
 ARG TORCHAUDIO_VERSION
 ARG TORCHTEXT_VERSION
 ARG TORCHVISION_VERSION
+ARG CUDA_MAJOR_VERSION
+ARG CUDA_MINOR_VERSION
 
 # TORCHVISION_VERSION is mandatory
 RUN test -n "$TORCHVISION_VERSION"
 
 # Build instructions: https://github.com/pytorch/pytorch#from-source
 RUN conda install astunparse numpy ninja pyyaml mkl mkl-include setuptools==59.5.0 cmake cffi typing_extensions future six requests dataclasses
+RUN conda install -c pytorch magma-cuda${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION}
 
 # By default, it uses the version from version.txt which includes the `a0` (alpha zero) suffix and part of the git hash.
 # This causes dependency conflicts like these: https://paste.googleplex.com/4786486378496000
diff --git a/tests/test_pytorch.py b/tests/test_pytorch.py
index 61dd71ff..befa6f7e 100644
--- a/tests/test_pytorch.py
+++ b/tests/test_pytorch.py
@@ -15,6 +15,14 @@ def test_nn(self):
         data_torch = autograd.Variable(torch.randn(2, 5))
         linear_torch(data_torch)
 
+    @gpu_test
+    def test_linalg(self):
+        A = torch.randn(3, 3).t().to('cuda')
+        B = torch.randn(3).t().to('cuda')
+
+        result = torch.linalg.solve(A, B)
+        self.assertEqual(3, result.shape[0])
+
     @gpu_test
     def test_gpu_computation(self):
         cuda = torch.device('cuda')  

From 0c6ce5101e94fb523d26f2345cf55682565d8089 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 11 May 2022 10:41:16 -0700
Subject: [PATCH 1214/1660] Update and rename test_fbprophet.py to
 test_prophet.py (#1157)

Matches the new package name from #1150
---
 tests/{test_fbprophet.py => test_prophet.py} | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)
 rename tests/{test_fbprophet.py => test_prophet.py} (90%)

diff --git a/tests/test_fbprophet.py b/tests/test_prophet.py
similarity index 90%
rename from tests/test_fbprophet.py
rename to tests/test_prophet.py
index 60566f8b..7b048d21 100644
--- a/tests/test_fbprophet.py
+++ b/tests/test_prophet.py
@@ -5,7 +5,7 @@
 
 from prophet import Prophet
 
-class TestFbProphet(unittest.TestCase):
+class TestProphet(unittest.TestCase):
     def test_fit(self):
         train = pd.DataFrame({
             'ds': np.array(['2012-05-18', '2012-05-20']),

From 5044ec326c052c8dc60692caa1e56710762239e1 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 11 May 2022 14:11:29 -0700
Subject: [PATCH 1215/1660] Upgrade PyTorch to 1.11 (#1155)

* Upgrade PyTorch to 1.11

http://b/215031404
---
 Dockerfile.tmpl           | 5 +++--
 config.txt                | 9 +++++----
 packages/torch.Dockerfile | 2 ++
 3 files changed, 10 insertions(+), 6 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 47758dc1..ac93d791 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -106,7 +106,7 @@ RUN conda install -c pytorch magma-cuda${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION
     rm -rf /tmp/torch && \
     /tmp/clean-layer.sh
 {{ else }}
-RUN pip install torch==$TORCH_VERSION+cpu torchvision==$TORCHVISION_VERSION+cpu torchaudio==$TORCHAUDIO_VERSION torchtext==$TORCHTEXT_VERSION -f https://download.pytorch.org/whl/torch_stable.html && \
+RUN pip install torch==$TORCH_VERSION+cpu torchvision==$TORCHVISION_VERSION+cpu torchaudio==$TORCHAUDIO_VERSION+cpu torchtext==$TORCHTEXT_VERSION -f https://download.pytorch.org/whl/torch_stable.html && \
     /tmp/clean-layer.sh
 {{ end }}
 
@@ -497,7 +497,8 @@ RUN pip install flashtext && \
     pip install bqplot && \
     pip install earthengine-api && \
     pip install transformers && \
-    pip install datasets && \
+    # b/232247930 >= 2.2.0 requires pyarrow >= 6.0.0 which conflicts with dependencies for rapidsai 0.21.*
+    pip install datasets==2.1.0 && \
     pip install dlib && \
     pip install kaggle-environments && \
     pip install geopandas && \
diff --git a/config.txt b/config.txt
index a8f93d7d..98078a9a 100644
--- a/config.txt
+++ b/config.txt
@@ -3,9 +3,10 @@ BASE_IMAGE_TAG=m91
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-6
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-6
 LIGHTGBM_VERSION=3.3.1
-TORCH_VERSION=1.9.1
-TORCHAUDIO_VERSION=0.9.1
-TORCHTEXT_VERSION=0.10.1
-TORCHVISION_VERSION=0.10.1
+TORCH_VERSION=1.11.0
+# TODO(b/215031404#comment4) Remove zlib sed command after upgrade to >= 0.11.1
+TORCHAUDIO_VERSION=0.11.0
+TORCHTEXT_VERSION=0.12.0
+TORCHVISION_VERSION=0.12.0
 CUDA_MAJOR_VERSION=11
 CUDA_MINOR_VERSION=0
\ No newline at end of file
diff --git a/packages/torch.Dockerfile b/packages/torch.Dockerfile
index 2f72ca3b..0843082b 100644
--- a/packages/torch.Dockerfile
+++ b/packages/torch.Dockerfile
@@ -44,6 +44,8 @@ RUN cd /usr/local/src && \
     git checkout tags/v$TORCHAUDIO_VERSION && \
     git submodule sync && \
     git submodule update --init --recursive --jobs 0 && \
+    # TODO(b/215031404#comment4) Remove after upgrade next release (0.11.1)
+    sed -i s?https://zlib.net/zlib-1.2.11.tar.gz?https://sourceforge.net/projects/libpng/files/zlib/1.2.11/zlib-1.2.11.tar.gz? third_party/zlib/CMakeLists.txt && \
     python setup.py bdist_wheel
 
 # Build torchtext

From 389cecd4683774c7ce33d39667dd788742e77816 Mon Sep 17 00:00:00 2001
From: tsuga <2888173+tsuga@users.noreply.github.com>
Date: Fri, 13 May 2022 01:40:28 +0900
Subject: [PATCH 1216/1660] Update Dockerfile.tmpl (#1147)

Unpin torchmetrics version
---
 Dockerfile.tmpl | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index ac93d791..b92a6d43 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -506,8 +506,7 @@ RUN pip install flashtext && \
     pip install vowpalwabbit && \
     pip install pydub && \
     pip install pydegensac && \
-    # b/215182966 torchmetrics 0.7.0 is causing an issue with pytorch-lightning.
-    pip install torchmetrics==0.6.2 && \
+    pip install torchmetrics && \
     pip install pytorch-lightning && \
     pip install datatable && \
     pip install sympy && \

From 38bdd94fbeb22a5a6e7bbeb16b10297325785461 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Fri, 13 May 2022 14:09:56 +0000
Subject: [PATCH 1217/1660] add jenkins setup

---
 Jenkinsfile     | 30 ++++++++++++++++++++++-
 diff            |  4 ++++
 push            |  5 ++++
 tests/common.py |  1 +
 tpu/Dockerfile  |  2 ++
 tpu/build       | 63 +++++++++++++++++++++++++++++++++++++++++++++++++
 tpu/config.txt  |  3 +++
 7 files changed, 107 insertions(+), 1 deletion(-)
 create mode 100755 tpu/build
 create mode 100644 tpu/config.txt

diff --git a/Jenkinsfile b/Jenkinsfile
index 4ee73db8..3c559508 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -150,7 +150,34 @@ pipeline {
               }
             }
           }
-        } 
+        }
+        stage('TPU VM') {
+          stages {
+            stage('Build Tensorflow TPU Image') {
+              options {
+                timeout(time: 120, unit: 'MINUTES')
+              }
+              steps {
+                sh '''#!/bin/bash
+                  set -exo pipefail
+
+                  ./tpu/build | ts
+                  ./push --tpu ${PRETEST_TAG}
+                '''
+              }
+            }
+          }
+          stage('Diff TPU VM Image') {
+              steps {
+                sh '''#!/bin/bash
+                set -exo pipefail
+
+                docker pull gcr.io/kaggle-private-byod/python-tpuvm:${PRETEST_TAG}
+                ./diff --tpu --target gcr.io/kaggle-private-byod/python-tpuvm:${PRETEST_TAG}
+              '''
+              }
+            }
+        }
       }
     }
 
@@ -161,6 +188,7 @@ pipeline {
 
           gcloud container images add-tag gcr.io/kaggle-images/python:${PRETEST_TAG} gcr.io/kaggle-images/python:${STAGING_TAG}
           gcloud container images add-tag gcr.io/kaggle-private-byod/python:${PRETEST_TAG} gcr.io/kaggle-private-byod/python:${STAGING_TAG}
+          gcloud container images add-tag gcr.io/kaggle-private-byod/python-tpuvm:${PRETEST_TAG} gcr.io/kaggle-private-byod/python-tpuvm:${STAGING_TAG}
         '''
       }
     }
diff --git a/diff b/diff
index 79b9b756..19b9ab1e 100755
--- a/diff
+++ b/diff
@@ -32,6 +32,10 @@ while :; do
             BASE_IMAGE_TAG='gcr.io/kaggle-private-byod/python:latest'
             TARGET_IMAGE_TAG='kaggle/python-gpu-build'
             ;;
+        -x|--tpu)
+            BASE_IMAGE_TAG='gcr.io/kaggle-private-byod/python-tpuvm:latest'
+            TARGET_IMAGE_TAG='kaggle/python-tpuvm-build'
+            ;;
         -b|--base)
             if [[ -z "$2" ]]; then
                 usage
diff --git a/push b/push
index cdd53389..124a3469 100755
--- a/push
+++ b/push
@@ -8,6 +8,7 @@ Push a newly-built image with the given LABEL to gcr.io and DockerHub.
 
 Options:
     -g, --gpu                   Push the image with GPU support.
+    -t, --tpu                   Push the image with GPU support.
     -s, --source-image IMAGE    Tag for the source image. 
 EOF
 }
@@ -26,6 +27,10 @@ while :; do
             SOURCE_IMAGE_TAG='kaggle/python-gpu-build:latest'
             TARGET_IMAGE='gcr.io/kaggle-private-byod/python'
             ;;
+        -t|--tpu)
+            SOURCE_IMAGE_TAG='kaggle/python-tpuvm-build:latest'
+            TARGET_IMAGE='gcr.io/kaggle-private-byod/python-tpuvm'
+            ;;
         -s|--source-image)
             if [[ -z $2 ]]; then
                 usage
diff --git a/tests/common.py b/tests/common.py
index 823212a2..e53e6a7c 100644
--- a/tests/common.py
+++ b/tests/common.py
@@ -4,3 +4,4 @@
 import unittest
 
 gpu_test = unittest.skipIf(len(os.environ.get('CUDA_VERSION', '')) == 0, 'Not running GPU tests')
+tpu_test = unittest.skipIf(len(os.environ.get('ISTPUVM', '')) == 0, 'Not running TPU tests')
diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 7f517e18..f334ac8e 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -6,6 +6,8 @@ FROM gcr.io/cloud-tpu-v2-images/libtpu:${LIBTPU_IMAGE_TAG} as libtpu
 FROM gcr.io/kaggle-images/python-tpu-tensorflow-whl:${TENSORFLOW_WHL_IMAGE_TAG} AS tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_IMAGE_TAG}
 
+ENV ISTPUVM=1
+
 COPY --from=libtpu /libtpu.so /lib
 
 COPY --from=tensorflow_whl /tmp/tensorflow_pkg/tensorflow*.whl /tmp/tensorflow_pkg/
diff --git a/tpu/build b/tpu/build
new file mode 100755
index 00000000..d5b76810
--- /dev/null
+++ b/tpu/build
@@ -0,0 +1,63 @@
+#!/bin/bash
+set -e
+
+usage() {
+cat << EOF
+Usage: $0 [OPTIONS]
+Build a new Python TPU 1VM Docker image.
+
+Options:
+    -c, --use-cache           Use layer cache when building a new image.
+EOF
+}
+
+CACHE_FLAG='--no-cache'
+TENSORFLOW_DOCKERFILE='tensorflow.Dockerfile'
+TENSORFLOW_IMAGE_TAG='kaggle/python-tpuvm-tensorflow-build'
+DOCKERFILE='Dockerfile'
+IMAGE_TAG='kaggle/python-tpuvm-build'
+BUILD_ARGS=''
+
+while :; do
+    case "$1" in 
+        -h|--help)
+            usage
+            exit
+            ;;
+        -c|--use-cache)
+            CACHE_FLAG=''
+            ;;
+        -?*)
+            usage
+            printf 'ERROR: Unknown option: %s\n' "$1" >&2
+            exit
+            ;;
+        *)            
+            break
+    esac
+
+    shift
+done
+
+BUILD_ARGS+=" --build-arg GIT_COMMIT=$(git rev-parse HEAD)"
+BUILD_ARGS+=" --build-arg BUILD_DATE=$(date '+%Y%m%d-%H%M%S')"
+
+# Read build args from config.txt file.
+SRCDIR=$(dirname "${BASH_SOURCE[0]}")
+for l in `cat ${SRCDIR}/config.txt`; do
+    BUILD_ARGS+=" --build-arg $l"
+done
+
+readonly CACHE_FLAG
+readonly TENSORFLOW_DOCKERFILE
+readonly TENSORFLOW_IMAGE_TAG
+readonly DOCKERFILE
+readonly IMAGE_TAG
+readonly BUILD_ARGS
+
+TENSORFLOW_DOCKERFILE_PATH="$SRCDIR/$TENSORFLOW_DOCKERFILE"
+DOCKERFILE_PATH="$SRCDIR/$DOCKERFILE"
+
+set -x
+docker build --rm --pull $CACHE_FLAG -t "$TENSORFLOW_IMAGE_TAG" -f "$TENSORFLOW_DOCKERFILE_PATH" $BUILD_ARGS .
+docker build --rm --pull $CACHE_FLAG -t "$IMAGE_TAG" -f "$DOCKERFILE_PATH" $BUILD_ARGS .
diff --git a/tpu/config.txt b/tpu/config.txt
new file mode 100644
index 00000000..ae599a75
--- /dev/null
+++ b/tpu/config.txt
@@ -0,0 +1,3 @@
+BASE_IMAGE_TAG=v108
+LIBTPU_IMAGE_TAG=libtpu_1.1.0_RC00
+TENSORFLOW_WHL_IMAGE_TAG=local

From 1e337de1766842c61ceb17a859c67d5c8ab9f496 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Fri, 13 May 2022 15:26:42 +0000
Subject: [PATCH 1218/1660] fix jenkins stage

---
 Jenkinsfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 3c559508..e5ffc90d 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -166,8 +166,7 @@ pipeline {
                 '''
               }
             }
-          }
-          stage('Diff TPU VM Image') {
+            stage('Diff TPU VM Image') {
               steps {
                 sh '''#!/bin/bash
                 set -exo pipefail
@@ -177,6 +176,7 @@ pipeline {
               '''
               }
             }
+          }
         }
       }
     }

From 98ebd1a889292e6dfd7cd86204629df4e9d68926 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Fri, 13 May 2022 16:39:18 +0000
Subject: [PATCH 1219/1660] add layer cleaning, drop uninstall pytorch which is
 not installe

---
 tpu/Dockerfile | 14 ++++++++------
 1 file changed, 8 insertions(+), 6 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index f334ac8e..c94fe79c 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -12,13 +12,15 @@ COPY --from=libtpu /libtpu.so /lib
 
 COPY --from=tensorflow_whl /tmp/tensorflow_pkg/tensorflow*.whl /tmp/tensorflow_pkg/
 RUN pip install /tmp/tensorflow_pkg/tensorflow*.whl && \
-    rm -rf /tmp/tensorflow_pkg
+    rm -rf /tmp/tensorflow_pkg && \
+    /tmp/clean-layer.sh
 
 # https://cloud.google.com/tpu/docs/pytorch-xla-ug-tpu-vm#changing_pytorch_version
-RUN pip uninstall -y torch
-RUN pip uninstall -y torch_xla
-RUN pip install torch==1.10
-RUN pip install torch_xla[tpuvm] -f https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-1.10-cp37-cp37m-linux_x86_64.whl
+RUN pip uninstall -y torch && \
+    pip install torch==1.10 && \
+    pip install torch_xla[tpuvm] -f https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-1.10-cp37-cp37m-linux_x86_64.whl && \
+    /tmp/clean-layer.sh
 
 # https://cloud.google.com/tpu/docs/jax-quickstart-tpu-vm#install_jax_on_your_cloud_tpu_vm
-RUN pip install "jax[tpu]>=0.2.16" -f https://storage.googleapis.com/jax-releases/libtpu_releases.html
\ No newline at end of file
+RUN pip install "jax[tpu]>=0.2.16" -f https://storage.googleapis.com/jax-releases/libtpu_releases.html && \
+    /tmp/clean-layer.sh

From 21e3ae4f5f12cbc1aa7d1617edb6bac72694650f Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Fri, 13 May 2022 17:08:27 +0000
Subject: [PATCH 1220/1660] move tensorflow.Dockerfile

---
 tpu/tensorflow.Dockerfile => packages/tpu.tensorflow.Dockerfile | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename tpu/tensorflow.Dockerfile => packages/tpu.tensorflow.Dockerfile (100%)

diff --git a/tpu/tensorflow.Dockerfile b/packages/tpu.tensorflow.Dockerfile
similarity index 100%
rename from tpu/tensorflow.Dockerfile
rename to packages/tpu.tensorflow.Dockerfile

From b22de751028721d6eaf035a19c09d5da733bef14 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Mon, 16 May 2022 15:52:33 +0000
Subject: [PATCH 1221/1660] rename tpu

---
 .../{tpu.tensorflow.Dockerfile => tpu-tensorflow.Dockerfile}    | 2 ++
 1 file changed, 2 insertions(+)
 rename packages/{tpu.tensorflow.Dockerfile => tpu-tensorflow.Dockerfile} (99%)

diff --git a/packages/tpu.tensorflow.Dockerfile b/packages/tpu-tensorflow.Dockerfile
similarity index 99%
rename from packages/tpu.tensorflow.Dockerfile
rename to packages/tpu-tensorflow.Dockerfile
index 3dc862f3..812114ca 100644
--- a/packages/tpu.tensorflow.Dockerfile
+++ b/packages/tpu-tensorflow.Dockerfile
@@ -2,6 +2,8 @@ ARG BASE_IMAGE_TAG
 
 FROM gcr.io/kaggle-images/python:${BASE_IMAGE_TAG} AS builder
 
+ARG PACKAGE_VERSION
+
 # Use Bazelisk to ensure the proper bazel version is used.
 RUN cd /usr/local/src && \
     wget --no-verbose "https://github.com/bazelbuild/bazelisk/releases/download/v1.11.0/bazelisk-linux-amd64" && \

From 2105bc64270dae18b30333c36fadb791dca24a82 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Mon, 16 May 2022 16:33:03 +0000
Subject: [PATCH 1222/1660] make tpu tensorflow build conditional

---
 Jenkinsfile                        | 18 +++++++++++++++++-
 packages/build_package             |  2 ++
 packages/tpu-tensorflow.Dockerfile |  6 +++---
 tpu/Dockerfile                     |  4 ++--
 tpu/build                          |  6 ------
 tpu/config.txt                     |  2 +-
 6 files changed, 25 insertions(+), 13 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index e5ffc90d..c35b59a1 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -56,6 +56,22 @@ pipeline {
             '''
           }
         }
+        stage('tensorflow TPU') {
+          options {
+            timeout(time: 180, unit: 'MINUTES')
+          }
+          steps {
+            sh '''#!/bin/bash
+              set -exo pipefail
+              source tpu/config.txt
+              cd packages/
+              ./build_package --base-image gcr.io/kaggle-images/python:${BASE_IMAGE_TAG} \
+                --package tpu-tensorflow \
+                --version $TENSORFLOW_VERSION \
+                --push
+            '''
+          }
+        }
       }
     }
     stage('Build/Test/Diff') {
@@ -155,7 +171,7 @@ pipeline {
           stages {
             stage('Build Tensorflow TPU Image') {
               options {
-                timeout(time: 120, unit: 'MINUTES')
+                timeout(time: 20, unit: 'MINUTES')
               }
               steps {
                 sh '''#!/bin/bash
diff --git a/packages/build_package b/packages/build_package
index 6a6e7e5c..1e6a7f94 100755
--- a/packages/build_package
+++ b/packages/build_package
@@ -117,6 +117,8 @@ fi
 
 # Keep only `tf2-gpu.2-6:m80` in `gcr.io/deeplearning-platform-release/tf2-gpu.2-6:m80` 
 TAG=${BASE_IMAGE/gcr.io\/deeplearning-platform-release\//}
+# Keep only `python:v108` in `gcr.io/kaggle-images/python:v108`
+TAG=${TAG/gcr.io\/kaggle-images\//}
 # Replace the `:` in `tf2-gpu.2-6:m80` by `-`
 TAG=${TAG/:/-}
 # Append the package version
diff --git a/packages/tpu-tensorflow.Dockerfile b/packages/tpu-tensorflow.Dockerfile
index 812114ca..23139db3 100644
--- a/packages/tpu-tensorflow.Dockerfile
+++ b/packages/tpu-tensorflow.Dockerfile
@@ -1,6 +1,6 @@
-ARG BASE_IMAGE_TAG
+ARG BASE_IMAGE
 
-FROM gcr.io/kaggle-images/python:${BASE_IMAGE_TAG} AS builder
+FROM ${BASE_IMAGE} AS builder
 
 ARG PACKAGE_VERSION
 
@@ -14,7 +14,7 @@ RUN cd /usr/local/src && \
 RUN cd /usr/local/src && \
     git clone https://github.com/tensorflow/tensorflow && \
     cd tensorflow && \
-    git checkout tags/v${TENSORFLOW_VERSION} && \
+    git checkout tags/v${PACKAGE_VERSION} && \
     # TODO(rosbo): Is it really needed?
     pip install keras_applications --no-deps && \
     pip install keras_preprocessing --no-deps
diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index c94fe79c..045cf43c 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -1,9 +1,9 @@
 ARG BASE_IMAGE_TAG
 ARG LIBTPU_IMAGE_TAG
-ARG TENSORFLOW_WHL_IMAGE_TAG
+ARG TENSORFLOW_VERSION
 
 FROM gcr.io/cloud-tpu-v2-images/libtpu:${LIBTPU_IMAGE_TAG} as libtpu
-FROM gcr.io/kaggle-images/python-tpu-tensorflow-whl:${TENSORFLOW_WHL_IMAGE_TAG} AS tensorflow_whl
+FROM gcr.io/kaggle-images/python-tpu-tensorflow-whl:python-${BASE_IMAGE_TAG}-${TENSORFLOW_VERSION} AS tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_IMAGE_TAG}
 
 ENV ISTPUVM=1
diff --git a/tpu/build b/tpu/build
index d5b76810..00524080 100755
--- a/tpu/build
+++ b/tpu/build
@@ -12,8 +12,6 @@ EOF
 }
 
 CACHE_FLAG='--no-cache'
-TENSORFLOW_DOCKERFILE='tensorflow.Dockerfile'
-TENSORFLOW_IMAGE_TAG='kaggle/python-tpuvm-tensorflow-build'
 DOCKERFILE='Dockerfile'
 IMAGE_TAG='kaggle/python-tpuvm-build'
 BUILD_ARGS=''
@@ -49,15 +47,11 @@ for l in `cat ${SRCDIR}/config.txt`; do
 done
 
 readonly CACHE_FLAG
-readonly TENSORFLOW_DOCKERFILE
-readonly TENSORFLOW_IMAGE_TAG
 readonly DOCKERFILE
 readonly IMAGE_TAG
 readonly BUILD_ARGS
 
-TENSORFLOW_DOCKERFILE_PATH="$SRCDIR/$TENSORFLOW_DOCKERFILE"
 DOCKERFILE_PATH="$SRCDIR/$DOCKERFILE"
 
 set -x
-docker build --rm --pull $CACHE_FLAG -t "$TENSORFLOW_IMAGE_TAG" -f "$TENSORFLOW_DOCKERFILE_PATH" $BUILD_ARGS .
 docker build --rm --pull $CACHE_FLAG -t "$IMAGE_TAG" -f "$DOCKERFILE_PATH" $BUILD_ARGS .
diff --git a/tpu/config.txt b/tpu/config.txt
index ae599a75..ace7ce6b 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -1,3 +1,3 @@
 BASE_IMAGE_TAG=v108
 LIBTPU_IMAGE_TAG=libtpu_1.1.0_RC00
-TENSORFLOW_WHL_IMAGE_TAG=local
+TENSORFLOW_VERSION=2.8.0
\ No newline at end of file

From ba967470f727bbd4517c07d16c0f9a4387b4ec7e Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Mon, 16 May 2022 16:55:16 +0000
Subject: [PATCH 1223/1660] add TORCH_VERSION and TODO

---
 tpu/Dockerfile | 5 +++--
 tpu/config.txt | 4 +++-
 2 files changed, 6 insertions(+), 3 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 045cf43c..49d2c1de 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -1,6 +1,7 @@
 ARG BASE_IMAGE_TAG
 ARG LIBTPU_IMAGE_TAG
 ARG TENSORFLOW_VERSION
+ARG TORCH_VERSION
 
 FROM gcr.io/cloud-tpu-v2-images/libtpu:${LIBTPU_IMAGE_TAG} as libtpu
 FROM gcr.io/kaggle-images/python-tpu-tensorflow-whl:python-${BASE_IMAGE_TAG}-${TENSORFLOW_VERSION} AS tensorflow_whl
@@ -17,8 +18,8 @@ RUN pip install /tmp/tensorflow_pkg/tensorflow*.whl && \
 
 # https://cloud.google.com/tpu/docs/pytorch-xla-ug-tpu-vm#changing_pytorch_version
 RUN pip uninstall -y torch && \
-    pip install torch==1.10 && \
-    pip install torch_xla[tpuvm] -f https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-1.10-cp37-cp37m-linux_x86_64.whl && \
+    pip install torch==${TORCH_VERSION} && \
+    pip install torch_xla[tpuvm] -f https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-${TORCH_VERSION}-cp37-cp37m-linux_x86_64.whl && \
     /tmp/clean-layer.sh
 
 # https://cloud.google.com/tpu/docs/jax-quickstart-tpu-vm#install_jax_on_your_cloud_tpu_vm
diff --git a/tpu/config.txt b/tpu/config.txt
index ace7ce6b..8ab81c9c 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -1,3 +1,5 @@
+# TODO(b/213335159): Use ci-pretest for BASE_IMAGE_TAG once stable.
 BASE_IMAGE_TAG=v108
 LIBTPU_IMAGE_TAG=libtpu_1.1.0_RC00
-TENSORFLOW_VERSION=2.8.0
\ No newline at end of file
+TENSORFLOW_VERSION=2.8.0
+TORCH_VERSION=1.11.0
\ No newline at end of file

From 58003dc74e6c2689981d589375e9df96fba9fa60 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 16 May 2022 13:21:27 -0700
Subject: [PATCH 1224/1660] Expose GIT_COMMIT & BUILD_DATE ARGs as ENV
 variables (#1159)

http://b/232808996
---
 Dockerfile.tmpl | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index b92a6d43..ca751699 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -597,6 +597,9 @@ ARG BUILD_DATE=unknown
 
 LABEL git-commit=$GIT_COMMIT
 LABEL build-date=$BUILD_DATE
+ENV GIT_COMMIT={$GIT_COMMIT}
+ENV BUILD_DATE=${BUILD_DATE}
+
 LABEL tensorflow-version=$TENSORFLOW_VERSION
 # Used in the Jenkins `Docker GPU Build` step to restrict the images being pruned.
 LABEL kaggle-lang=python

From 2aa1486966f3b7a69097e4dc2dfe864f9a29db0a Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 16 May 2022 16:24:43 -0400
Subject: [PATCH 1225/1660] Doubling the timeout for the tenflow TPU build

The previous run timed out:
https://ci.kaggle.net/blue/organizations/jenkins/kernels%2Fdocker-python/detail/main/351/pipeline/30
---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index c35b59a1..aaa3b92a 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -58,7 +58,7 @@ pipeline {
         }
         stage('tensorflow TPU') {
           options {
-            timeout(time: 180, unit: 'MINUTES')
+            timeout(time: 360, unit: 'MINUTES')
           }
           steps {
             sh '''#!/bin/bash

From e4b124084a038eccaf839f32e09a4f5273ddfedf Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 17 May 2022 12:42:37 -0400
Subject: [PATCH 1226/1660] Fix access to libtpu

The jenkins SA did not have access to pull the libtpu docker image needed for the TPU VM build.
I started a TPU VM with that SA to grant it access, and added docker login setup to use authenticated docker commands.
---
 Jenkinsfile | 10 +++++++++-
 1 file changed, 9 insertions(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index aaa3b92a..a2c12fac 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -58,7 +58,7 @@ pipeline {
         }
         stage('tensorflow TPU') {
           options {
-            timeout(time: 360, unit: 'MINUTES')
+            timeout(time: 240, unit: 'MINUTES')
           }
           steps {
             sh '''#!/bin/bash
@@ -177,6 +177,14 @@ pipeline {
                 sh '''#!/bin/bash
                   set -exo pipefail
 
+                  # Login to docker to get access to gcr.io/cloud-tpu-v2-images/libtpu
+                  # SA: jenkins-test@kaggle-playground-170215.iam.gserviceaccount.com
+                  # To grant access to a SA, start a TPU VM with that SA once.
+                  METADATA=http://metadata.google.internal/computeMetadata/v1
+                  SVC_ACCT=$METADATA/instance/service-accounts/default
+                  ACCESS_TOKEN=$(/usr/bin/curl -s -H 'Metadata-Flavor: Google' $SVC_ACCT/token | cut -d'"' -f 4)
+                  docker login --username oauth2accesstoken --password $ACCESS_TOKEN https://gcr.io
+
                   ./tpu/build | ts
                   ./push --tpu ${PRETEST_TAG}
                 '''

From e1e98f4e74759bf056601b15789670b11d10b64e Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 17 May 2022 14:38:31 -0400
Subject: [PATCH 1227/1660] Hide sensitive output in jenkins

The ACCESS_TOKEN was being printed in the logs, this should hide it.
---
 Jenkinsfile | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/Jenkinsfile b/Jenkinsfile
index a2c12fac..d6708008 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -180,10 +180,13 @@ pipeline {
                   # Login to docker to get access to gcr.io/cloud-tpu-v2-images/libtpu
                   # SA: jenkins-test@kaggle-playground-170215.iam.gserviceaccount.com
                   # To grant access to a SA, start a TPU VM with that SA once.
+                  # Disable echo to avoid printing sensitive tokens:
+                  set +x
                   METADATA=http://metadata.google.internal/computeMetadata/v1
                   SVC_ACCT=$METADATA/instance/service-accounts/default
                   ACCESS_TOKEN=$(/usr/bin/curl -s -H 'Metadata-Flavor: Google' $SVC_ACCT/token | cut -d'"' -f 4)
                   docker login --username oauth2accesstoken --password $ACCESS_TOKEN https://gcr.io
+                  set -x
 
                   ./tpu/build | ts
                   ./push --tpu ${PRETEST_TAG}

From b03eace8389c639180cd37ba53eff8c4f2c89e24 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 17 May 2022 12:02:46 -0700
Subject: [PATCH 1228/1660] Move TORCH_VERSION ARG below the FROM (#1161)

This is necessary to make it available with that build context.

The other ARGs are above because they are used in the FROM statement themselves but not the build context of the last image.

I also updated the URL for installing `torch_xla`. The version of Torch should not include the minor version.
---
 tpu/Dockerfile | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 49d2c1de..ff6a8a0b 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -1,12 +1,15 @@
 ARG BASE_IMAGE_TAG
 ARG LIBTPU_IMAGE_TAG
 ARG TENSORFLOW_VERSION
-ARG TORCH_VERSION
 
 FROM gcr.io/cloud-tpu-v2-images/libtpu:${LIBTPU_IMAGE_TAG} as libtpu
 FROM gcr.io/kaggle-images/python-tpu-tensorflow-whl:python-${BASE_IMAGE_TAG}-${TENSORFLOW_VERSION} AS tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_IMAGE_TAG}
 
+# We need to define the ARG here to get the ARG below the FROM statement to access it within this build context
+# See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
+ARG TORCH_VERSION
+
 ENV ISTPUVM=1
 
 COPY --from=libtpu /libtpu.so /lib
@@ -19,7 +22,8 @@ RUN pip install /tmp/tensorflow_pkg/tensorflow*.whl && \
 # https://cloud.google.com/tpu/docs/pytorch-xla-ug-tpu-vm#changing_pytorch_version
 RUN pip uninstall -y torch && \
     pip install torch==${TORCH_VERSION} && \
-    pip install torch_xla[tpuvm] -f https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-${TORCH_VERSION}-cp37-cp37m-linux_x86_64.whl && \
+    # The URL doesn't include patch version. i.e. must use 1.11 instead of 1.11.0
+    pip install torch_xla[tpuvm] -f https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-${TORCH_VERSION%.*}-cp37-cp37m-linux_x86_64.whl && \
     /tmp/clean-layer.sh
 
 # https://cloud.google.com/tpu/docs/jax-quickstart-tpu-vm#install_jax_on_your_cloud_tpu_vm

From 26af80ee6a963bce415f2ec9cda45d96429d72a8 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 18 May 2022 09:39:46 -0700
Subject: [PATCH 1229/1660] Upgrade TensorFlow to 2.6.4 & base image (#1163)

- Upgraded to `m92` base image.
- Removed upgrade to `nbconvert` now that base image has the expected
  version.
- Removed workaround for NVIDIA GPG key now that the base image has
  fixed it.

http://b/232964717
---
 Dockerfile.tmpl | 16 +++++-----------
 Jenkinsfile     |  2 +-
 config.txt      |  2 +-
 3 files changed, 7 insertions(+), 13 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index ca751699..6a7bb5bf 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -26,7 +26,7 @@ RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/lib
 FROM ${BASE_IMAGE_REPO}/${CPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
 {{ end }}
 # Keep these variables in sync if base image is updated.
-ENV TENSORFLOW_VERSION=2.6.2
+ENV TENSORFLOW_VERSION=2.6.4
 
 # We need to redefine the ARG here to get the ARG value defined above the FROM instruction.
 # See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
@@ -53,13 +53,6 @@ RUN pip uninstall -y horovod && \
     /tmp/clean-layer.sh
 {{ end }}
 
-{{ if eq .Accelerator "gpu" }}
-# b/230864778: Temporarily swap the NVIDIA GPG key. Remove once new base image with new GPG key is released.
-RUN rm /etc/apt/sources.list.d/cuda.list && \
-    apt-key del 7fa2af80 && \
-    apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/7fa2af80.pub
-{{ end }}
-
 # Use a fixed apt-get repo to stop intermittent failures due to flaky httpredir connections,
 # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
 RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \
@@ -85,7 +78,10 @@ RUN conda config --add channels nvidia && \
     /tmp/clean-layer.sh
 
 {{ if eq .Accelerator "gpu" }}
-RUN conda install cudf=21.10 cuml=21.10 cudatoolkit=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION && \
+
+# b/232247930: uninstall pyarrow to avoid double installation with the GPU specific version.
+RUN pip uninstall -y pyarrow && \
+    conda install cudf=21.10 cuml=21.10 cudatoolkit=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION && \
     /tmp/clean-layer.sh
 {{ end }}
 
@@ -405,8 +401,6 @@ RUN pip install bleach && \
     pip install jupyterlab-lsp && \
     pip install MarkupSafe && \
     pip install mistune && \
-    # b/227194111 install latest version of nbconvert until the base image includes nbconvert >= 6.4.5
-    pip install --upgrade nbconvert Jinja2 && \
     pip install nbformat && \
     pip install notebook && \
     pip install papermill && \
diff --git a/Jenkinsfile b/Jenkinsfile
index d6708008..8bc9c907 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -93,7 +93,7 @@ pipeline {
             }
             stage('Test CPU Image') {
               options {
-                timeout(time: 5, unit: 'MINUTES')
+                timeout(time: 10, unit: 'MINUTES')
               }
               steps {
                 sh '''#!/bin/bash
diff --git a/config.txt b/config.txt
index 98078a9a..d736096c 100644
--- a/config.txt
+++ b/config.txt
@@ -1,5 +1,5 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
-BASE_IMAGE_TAG=m91
+BASE_IMAGE_TAG=m92
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-6
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-6
 LIGHTGBM_VERSION=3.3.1

From 35bc09ad1461dc8bf859fbb7bb78e636026846a6 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 18 May 2022 12:03:47 -0700
Subject: [PATCH 1230/1660] Upgrade LightGBM (#1158)

---
 config.txt | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/config.txt b/config.txt
index d736096c..5cb91ac2 100644
--- a/config.txt
+++ b/config.txt
@@ -2,11 +2,11 @@ BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
 BASE_IMAGE_TAG=m92
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-6
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-6
-LIGHTGBM_VERSION=3.3.1
+LIGHTGBM_VERSION=3.3.2
 TORCH_VERSION=1.11.0
 # TODO(b/215031404#comment4) Remove zlib sed command after upgrade to >= 0.11.1
 TORCHAUDIO_VERSION=0.11.0
 TORCHTEXT_VERSION=0.12.0
 TORCHVISION_VERSION=0.12.0
 CUDA_MAJOR_VERSION=11
-CUDA_MINOR_VERSION=0
\ No newline at end of file
+CUDA_MINOR_VERSION=0

From 85f7616ad063dd1caa15a281ab21736bc100886f Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Tue, 24 May 2022 14:38:40 -0400
Subject: [PATCH 1231/1660] Fix GIT_COMMIT environment variable (#1165)

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 6a7bb5bf..10faf2ce 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -591,7 +591,7 @@ ARG BUILD_DATE=unknown
 
 LABEL git-commit=$GIT_COMMIT
 LABEL build-date=$BUILD_DATE
-ENV GIT_COMMIT={$GIT_COMMIT}
+ENV GIT_COMMIT=${GIT_COMMIT}
 ENV BUILD_DATE=${BUILD_DATE}
 
 LABEL tensorflow-version=$TENSORFLOW_VERSION

From a54fc9610e582ebde8d3dd3164db6ce85f9fa8ab Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Thu, 26 May 2022 14:16:45 +0000
Subject: [PATCH 1232/1660] Load correct libtpu for pytorch & jax.

It turns out jax & pytorch are incompatible (require different libtpu
versions). In order to support importing EITHER of them (but not both)
we will swap in the correct libtpu during import (by monkey-patching the
import code for both).

http://b/213335159
---
 tpu/Dockerfile | 15 +++++++++++----
 tpu/config.txt |  3 +--
 2 files changed, 12 insertions(+), 6 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index ff6a8a0b..99f7f49e 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -1,8 +1,6 @@
 ARG BASE_IMAGE_TAG
-ARG LIBTPU_IMAGE_TAG
 ARG TENSORFLOW_VERSION
 
-FROM gcr.io/cloud-tpu-v2-images/libtpu:${LIBTPU_IMAGE_TAG} as libtpu
 FROM gcr.io/kaggle-images/python-tpu-tensorflow-whl:python-${BASE_IMAGE_TAG}-${TENSORFLOW_VERSION} AS tensorflow_whl
 FROM gcr.io/kaggle-images/python:${BASE_IMAGE_TAG}
 
@@ -12,20 +10,29 @@ ARG TORCH_VERSION
 
 ENV ISTPUVM=1
 
-COPY --from=libtpu /libtpu.so /lib
-
 COPY --from=tensorflow_whl /tmp/tensorflow_pkg/tensorflow*.whl /tmp/tensorflow_pkg/
 RUN pip install /tmp/tensorflow_pkg/tensorflow*.whl && \
     rm -rf /tmp/tensorflow_pkg && \
     /tmp/clean-layer.sh
 
+# LIBTPU installed here:
+ENV DEFAULT_LIBTPU=/opt/conda/lib/python3.7/site-packages/libtpu/libtpu.so
+ENV PYTORCH_LIBTPU=/opt/conda/lib/python3.7/site-packages/libtpu/torch-libtpu.so
+ENV JAX_LIBTPU=/opt/conda/lib/python3.7/site-packages/libtpu/jax-libtpu.so
+
 # https://cloud.google.com/tpu/docs/pytorch-xla-ug-tpu-vm#changing_pytorch_version
 RUN pip uninstall -y torch && \
     pip install torch==${TORCH_VERSION} && \
     # The URL doesn't include patch version. i.e. must use 1.11 instead of 1.11.0
     pip install torch_xla[tpuvm] -f https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-${TORCH_VERSION%.*}-cp37-cp37m-linux_x86_64.whl && \
+    cp $DEFAULT_LIBTPU $PYTORCH_LIBTPU && \
     /tmp/clean-layer.sh
 
 # https://cloud.google.com/tpu/docs/jax-quickstart-tpu-vm#install_jax_on_your_cloud_tpu_vm
 RUN pip install "jax[tpu]>=0.2.16" -f https://storage.googleapis.com/jax-releases/libtpu_releases.html && \
+    cp $DEFAULT_LIBTPU $JAX_LIBTPU && \
     /tmp/clean-layer.sh
+
+# Monkey-patch JAX & PYTORCH to load the correct libtpu.so when they are imported:
+RUN sed -i "s|^\(\(.*\)libtpu.configure_library_path.*\)|\1\n\2os.environ['TPU_LIBRARY_PATH'] = '${PYTORCH_LIBTPU}'|" /opt/conda/lib/python3.7/site-packages/torch_xla/__init__.py && \
+    sed -i "s|^\(\(.*\)libtpu.configure_library_path.*\)|\1\n\2os.environ['TPU_LIBRARY_PATH'] = '${JAX_LIBTPU}'|" /opt/conda/lib/python3.7/site-packages/jax/_src/cloud_tpu_init.py
diff --git a/tpu/config.txt b/tpu/config.txt
index 8ab81c9c..569f305c 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -1,5 +1,4 @@
 # TODO(b/213335159): Use ci-pretest for BASE_IMAGE_TAG once stable.
-BASE_IMAGE_TAG=v108
-LIBTPU_IMAGE_TAG=libtpu_1.1.0_RC00
+BASE_IMAGE_TAG=v115
 TENSORFLOW_VERSION=2.8.0
 TORCH_VERSION=1.11.0
\ No newline at end of file

From 05c135e90ab78e7d993374450b029509034999d6 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Thu, 26 May 2022 15:07:00 +0000
Subject: [PATCH 1233/1660] monkeypatch tf and add env vars to suppress warns

---
 tpu/Dockerfile | 9 +++++++--
 1 file changed, 7 insertions(+), 2 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 99f7f49e..797288d6 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -33,6 +33,11 @@ RUN pip install "jax[tpu]>=0.2.16" -f https://storage.googleapis.com/jax-release
     cp $DEFAULT_LIBTPU $JAX_LIBTPU && \
     /tmp/clean-layer.sh
 
-# Monkey-patch JAX & PYTORCH to load the correct libtpu.so when they are imported:
+# Monkey-patch TF, JAX & PYTORCH to load the correct libtpu.so when they are imported:
 RUN sed -i "s|^\(\(.*\)libtpu.configure_library_path.*\)|\1\n\2os.environ['TPU_LIBRARY_PATH'] = '${PYTORCH_LIBTPU}'|" /opt/conda/lib/python3.7/site-packages/torch_xla/__init__.py && \
-    sed -i "s|^\(\(.*\)libtpu.configure_library_path.*\)|\1\n\2os.environ['TPU_LIBRARY_PATH'] = '${JAX_LIBTPU}'|" /opt/conda/lib/python3.7/site-packages/jax/_src/cloud_tpu_init.py
+    sed -i "s|^\(\(.*\)libtpu.configure_library_path.*\)|\1\n\2os.environ['TPU_LIBRARY_PATH'] = '${JAX_LIBTPU}'|" /opt/conda/lib/python3.7/site-packages/jax/_src/cloud_tpu_init.py && \
+    sed -i "1s/^/from jax._src.cloud_tpu_init import cloud_tpu_init\ncloud_tpu_init()\n/" /opt/conda/lib/python3.7/site-packages/tensorflow/__init__.py
+
+# Set these env vars so that they don't produce errs calling the metadata server to load them:
+ENV TPU_ACCELERATOR_TYPE=v3-8
+ENV TPU_PROCESS_ADDRESSES=local
\ No newline at end of file

From 5fdd5b82622d7e907d819d9b1427bcea1fc839cd Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 7 Jun 2022 14:02:51 -0400
Subject: [PATCH 1234/1660] Upgrade base image to m93. (#1168)

In preparation of the upgrade to TensorFlow 2.9

http://b/207851560
---
 config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/config.txt b/config.txt
index 5cb91ac2..19215b5c 100644
--- a/config.txt
+++ b/config.txt
@@ -1,5 +1,5 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
-BASE_IMAGE_TAG=m92
+BASE_IMAGE_TAG=m93
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-6
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-6
 LIGHTGBM_VERSION=3.3.2

From 5a4cb0e1e5cf2725df49a6774b9b6d1b821496c8 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 15 Jun 2022 09:28:08 -0400
Subject: [PATCH 1235/1660] Remove flake8 (#1169)

This package is causing a downgrade of the `importlib-metadata` package which is causing a cascading number of reinstalls: https://github.com/PyCQA/flake8/blob/9f608813b80caf5a966e44d4bfb5e032159eb3e2/setup.cfg#L45

Flake8 is a style checker for Python but we are not using it AFAIK. We don't have Jupyter plugins for it neither.
---
 Dockerfile.tmpl | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 10faf2ce..f0f50136 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -179,7 +179,6 @@ RUN apt-get install -y libfreetype6-dev && \
     pip install wordcloud && \
     pip install xgboost && \
     pip install pydot && \
-    pip install flake8 && \
     # Pinned because it breaks theano test with the latest version (b/178107003).
     pip install theano-pymc==1.0.11 && \
     pip install python-Levenshtein && \

From aef65920c81d1f2c3b3b82519cfc6a890d984c98 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Wed, 15 Jun 2022 16:09:10 -0400
Subject: [PATCH 1236/1660] Install onnx package (#1170)

http://b/235510037
---
 Dockerfile.tmpl         |   1 +
 tests/data/mnist-8.onnx | Bin 0 -> 26454 bytes
 tests/test_onnx.py      |   8 ++++++++
 3 files changed, 9 insertions(+)
 create mode 100644 tests/data/mnist-8.onnx
 create mode 100644 tests/test_onnx.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index f0f50136..18828a55 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -511,6 +511,7 @@ RUN pip install flashtext && \
     # ipympl adds interactive widget support for matplotlib
     pip install ipympl==0.7.0 && \
     pip install pandarallel && \
+    pip install onnx && \
     /tmp/clean-layer.sh
 
 # Download base easyocr models.
diff --git a/tests/data/mnist-8.onnx b/tests/data/mnist-8.onnx
new file mode 100644
index 0000000000000000000000000000000000000000..fc1a3f733c6e6243dd23dacb125b7a372de55a50
GIT binary patch
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literal 0
HcmV?d00001

diff --git a/tests/test_onnx.py b/tests/test_onnx.py
new file mode 100644
index 00000000..c09cffc9
--- /dev/null
+++ b/tests/test_onnx.py
@@ -0,0 +1,8 @@
+import unittest
+
+import onnx
+
+class TestOnnx(unittest.TestCase):
+    def test_load(self):
+        model = onnx.load("/input/tests/data/mnist-8.onnx")
+        self.assertIn("CNTKGraph", onnx.helper.printable_graph(model.graph))

From 3d85950ecf1fa2cb6e9d90a3bfb9cd301788f608 Mon Sep 17 00:00:00 2001
From: Sohier <sohier@google.com>
Date: Mon, 27 Jun 2022 21:52:30 +0000
Subject: [PATCH 1237/1660] Add support for 7zip

---
 Dockerfile.tmpl  | 3 +++
 tests/test_7z.py | 8 ++++++++
 2 files changed, 11 insertions(+)
 create mode 100644 tests/test_7z.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 18828a55..21b7d308 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -528,6 +528,9 @@ RUN mkdir -p /root/.EasyOCR/model && \
     rm /root/.EasyOCR/model/craft_mlt_25k.zip && \
     /tmp/clean-layer.sh
 
+# Add 7z support
+RUN apt-get install -y p7zip-full
+
 # Tesseract and some associated utility packages
 RUN apt-get install tesseract-ocr -y && \
     pip install pytesseract && \
diff --git a/tests/test_7z.py b/tests/test_7z.py
new file mode 100644
index 00000000..aa1e5059
--- /dev/null
+++ b/tests/test_7z.py
@@ -0,0 +1,8 @@
+import subprocess
+import unittest
+
+
+class Test7z(unittest.TestCase):
+    def test_basic(self):
+        result = subprocess.run('which 7z', shell=True, capture_output=True)
+        assert len(result.stdout) > 0

From d5246deb967e2933183712282366bb76e8c68071 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 27 Jun 2022 16:45:33 -0700
Subject: [PATCH 1238/1660] Increase timeout for building the GPU image.

---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 8bc9c907..df058e8b 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -122,7 +122,7 @@ pipeline {
           stages {  
             stage('Build GPU Image') {
               options {
-                timeout(time: 120, unit: 'MINUTES')
+                timeout(time: 180, unit: 'MINUTES')
               }
               steps {
                 sh '''#!/bin/bash

From 2d3097736eec866cf7e6551937c13577226f9535 Mon Sep 17 00:00:00 2001
From: Sohier <sohier@google.com>
Date: Tue, 28 Jun 2022 19:31:31 +0000
Subject: [PATCH 1239/1660] Cleaner install

---
 Dockerfile.tmpl | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 21b7d308..cc94af52 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -59,7 +59,7 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     apt-get update && \
     # Needed by lightGBM (GPU build)
     # https://lightgbm.readthedocs.io/en/latest/GPU-Tutorial.html#build-lightgbm
-    apt-get install -y build-essential unzip cmake libboost-dev libboost-system-dev libboost-filesystem-dev && \
+    apt-get install -y build-essential unzip cmake libboost-dev libboost-system-dev libboost-filesystem-dev p7zip-full && \
     # b/182601974: ssh client was removed from the base image but is required for packages such as stable-baselines.
     apt-get install -y openssh-client && \
     /tmp/clean-layer.sh
@@ -528,9 +528,6 @@ RUN mkdir -p /root/.EasyOCR/model && \
     rm /root/.EasyOCR/model/craft_mlt_25k.zip && \
     /tmp/clean-layer.sh
 
-# Add 7z support
-RUN apt-get install -y p7zip-full
-
 # Tesseract and some associated utility packages
 RUN apt-get install tesseract-ocr -y && \
     pip install pytesseract && \

From 676990227ab3fe9a08f20a5c755a2338c9a19f27 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 28 Jun 2022 12:57:56 -0700
Subject: [PATCH 1240/1660] Fix prophet test (#1173)

The new version of prophet (1.1) introduced breaking changes to the fit
arguments.

http://b/237327883
---
 tests/test_prophet.py | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/tests/test_prophet.py b/tests/test_prophet.py
index 7b048d21..326dd5dc 100644
--- a/tests/test_prophet.py
+++ b/tests/test_prophet.py
@@ -8,9 +8,11 @@
 class TestProphet(unittest.TestCase):
     def test_fit(self):
         train = pd.DataFrame({
-            'ds': np.array(['2012-05-18', '2012-05-20']),
-            'y': np.array([38.23, 21.25])
+            'ds': np.array(['2012-05-18', '2012-05-19', '2012-05-20', '2012-05-21', '2012-05-22']),
+            'y': np.array([38.23, 21.25, 20.18, 20.01, 19.02])
         })
 
         forecaster = Prophet(mcmc_samples=1)
-        forecaster.fit(train, control={'adapt_engaged': False})
+        forecaster.fit(train, adapt_engaged=False)
+
+        self.assertEqual(len(train) + 1, len(forecaster.make_future_dataframe(periods=1)))

From 029dea1fc47b696983e60fd0f6d71f5cfeb4ea53 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 7 Jul 2022 09:15:35 -0700
Subject: [PATCH 1241/1660] Upgrade base image to m94 (#1176)

http://b/238237796
---
 config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/config.txt b/config.txt
index 19215b5c..226e6f9e 100644
--- a/config.txt
+++ b/config.txt
@@ -1,5 +1,5 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
-BASE_IMAGE_TAG=m93
+BASE_IMAGE_TAG=m94
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-6
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-6
 LIGHTGBM_VERSION=3.3.2

From f82a0ad22eb2cc73a8e41ce4c05c9782bf5a8da0 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 19 Jul 2022 19:40:33 -0700
Subject: [PATCH 1242/1660] Fix GPU support for JAX (#1179)

* Fix GPU support for JAX

Added also a test to prevent regression.

http://b/239603020

* Rename var in test
---
 Dockerfile.tmpl   | 2 +-
 tests/test_jax.py | 3 ++-
 2 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index cc94af52..0210890a 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -123,7 +123,7 @@ RUN pip install lightgbm==$LIGHTGBM_VERSION && \
 
 # Install JAX
 {{ if eq .Accelerator "gpu" }}
-RUN pip install jax[cuda11_cudnn805] -f https://storage.googleapis.com/jax-releases/jax_releases.html && \
+RUN pip install jax[cuda11_cudnn805] -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html && \
     /tmp/clean-layer.sh
 {{ else }}
 RUN pip install jax[cpu] && \
diff --git a/tests/test_jax.py b/tests/test_jax.py
index da95c537..b5e0898e 100644
--- a/tests/test_jax.py
+++ b/tests/test_jax.py
@@ -3,6 +3,7 @@
 import os
 import time
 
+import jax
 import jax.numpy as np
 
 from common import gpu_test
@@ -21,4 +22,4 @@ def test_grad(self):
 
     def test_backend(self):
         expected_backend = 'cpu' if len(os.environ.get('CUDA_VERSION', '')) == 0 else 'gpu'
-
+        self.assertEqual(expected_backend, jax.default_backend())

From 932bdeb0b529643811dd378584a4ed7c97b80b17 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 9 Jun 2022 13:04:57 +0000
Subject: [PATCH 1243/1660] Upgrade to TensorFlow 2.9

DO_NOT_SUBMIT: Wait until new base image with TensorFlow 2.9.1 is out.

http://b/207851560
---
 Dockerfile.tmpl | 14 +++++++++-----
 config.txt      |  4 ++--
 2 files changed, 11 insertions(+), 7 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 0210890a..7b9ca54c 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -26,7 +26,8 @@ RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/lib
 FROM ${BASE_IMAGE_REPO}/${CPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
 {{ end }}
 # Keep these variables in sync if base image is updated.
-ENV TENSORFLOW_VERSION=2.6.4
+# TODO(rosbo): Still 2.9.0 rc2. Wait for the 2.9.1
+ENV TENSORFLOW_VERSION=2.9.0
 
 # We need to redefine the ARG here to get the ARG value defined above the FROM instruction.
 # See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
@@ -132,7 +133,8 @@ RUN pip install jax[cpu] && \
 
 # Install mxnet
 {{ if eq .Accelerator "gpu" }}
-RUN pip install mxnet-cu$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \
+# No specific package for 11.3 minor versions, using 11.2 instead.
+RUN pip install mxnet-cu$112 && \
     /tmp/clean-layer.sh
 {{ else }}
 RUN pip install mxnet && \
@@ -154,7 +156,8 @@ RUN pip install spacy && \
 RUN pip install pycuda && \
     pip install pynvrtc && \
     pip install pynvml && \
-    pip install nnabla-ext-cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \
+    # No specific package for 11.x minor versions.
+    pip install nnabla-ext-cuda$110 && \
     /tmp/clean-layer.sh
 {{ end }}
 
@@ -167,8 +170,9 @@ RUN pip install pysal && \
     # Use `conda install -c h2oai h2o` once Python 3.7 version is released to conda.
     apt-get install -y default-jre-headless && \
     pip install -f https://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html h2o && \
-    pip install tensorflow-gcs-config==2.6.0 && \
-    pip install tensorflow-addons==0.14.0 && \
+    pip install tensorflow-gcs-config==${TENSORFLOW_VERSION} && \
+    # TODO(b/207851560) Upgrade to 0.17.1 once the base image with TensorFlow 2.9.1 is out.
+    pip install tensorflow-addons==0.17.0 && \
     /tmp/clean-layer.sh
 
 RUN apt-get install -y libfreetype6-dev && \
diff --git a/config.txt b/config.txt
index 226e6f9e..e6a1b0b8 100644
--- a/config.txt
+++ b/config.txt
@@ -1,7 +1,7 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
 BASE_IMAGE_TAG=m94
-CPU_BASE_IMAGE_NAME=tf2-cpu.2-6
-GPU_BASE_IMAGE_NAME=tf2-gpu.2-6
+CPU_BASE_IMAGE_NAME=tf2-cpu.2-9
+GPU_BASE_IMAGE_NAME=tf2-gpu.2-9
 LIGHTGBM_VERSION=3.3.2
 TORCH_VERSION=1.11.0
 # TODO(b/215031404#comment4) Remove zlib sed command after upgrade to >= 0.11.1

From 019234e28b6be332aec12cda11cbcadc159b83fb Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 6 Jul 2022 21:56:00 +0000
Subject: [PATCH 1244/1660] Upgrade PyTorch to 1.12

http://b/238238619
---
 config.txt                | 9 ++++-----
 packages/torch.Dockerfile | 4 +---
 2 files changed, 5 insertions(+), 8 deletions(-)

diff --git a/config.txt b/config.txt
index e6a1b0b8..83d4142c 100644
--- a/config.txt
+++ b/config.txt
@@ -3,10 +3,9 @@ BASE_IMAGE_TAG=m94
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-9
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-9
 LIGHTGBM_VERSION=3.3.2
-TORCH_VERSION=1.11.0
-# TODO(b/215031404#comment4) Remove zlib sed command after upgrade to >= 0.11.1
-TORCHAUDIO_VERSION=0.11.0
-TORCHTEXT_VERSION=0.12.0
-TORCHVISION_VERSION=0.12.0
+TORCH_VERSION=1.12.0
+TORCHAUDIO_VERSION=0.12.0
+TORCHTEXT_VERSION=0.13.0
+TORCHVISION_VERSION=0.13.0
 CUDA_MAJOR_VERSION=11
 CUDA_MINOR_VERSION=0
diff --git a/packages/torch.Dockerfile b/packages/torch.Dockerfile
index 0843082b..e1c00fa0 100644
--- a/packages/torch.Dockerfile
+++ b/packages/torch.Dockerfile
@@ -13,7 +13,7 @@ ARG CUDA_MINOR_VERSION
 RUN test -n "$TORCHVISION_VERSION"
 
 # Build instructions: https://github.com/pytorch/pytorch#from-source
-RUN conda install astunparse numpy ninja pyyaml mkl mkl-include setuptools==59.5.0 cmake cffi typing_extensions future six requests dataclasses
+RUN conda install astunparse numpy ninja pyyaml mkl mkl-include setuptools cmake cffi typing_extensions future six requests dataclasses
 RUN conda install -c pytorch magma-cuda${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION}
 
 # By default, it uses the version from version.txt which includes the `a0` (alpha zero) suffix and part of the git hash.
@@ -44,8 +44,6 @@ RUN cd /usr/local/src && \
     git checkout tags/v$TORCHAUDIO_VERSION && \
     git submodule sync && \
     git submodule update --init --recursive --jobs 0 && \
-    # TODO(b/215031404#comment4) Remove after upgrade next release (0.11.1)
-    sed -i s?https://zlib.net/zlib-1.2.11.tar.gz?https://sourceforge.net/projects/libpng/files/zlib/1.2.11/zlib-1.2.11.tar.gz? third_party/zlib/CMakeLists.txt && \
     python setup.py bdist_wheel
 
 # Build torchtext

From 9fda5076abc31ddcfc0b8369ee0ffa67fe2511c7 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 3 Aug 2022 17:54:06 +0000
Subject: [PATCH 1245/1660] Set CUDA_MINOR_VERSION to 3

---
 config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/config.txt b/config.txt
index 83d4142c..da2e96ec 100644
--- a/config.txt
+++ b/config.txt
@@ -8,4 +8,4 @@ TORCHAUDIO_VERSION=0.12.0
 TORCHTEXT_VERSION=0.13.0
 TORCHVISION_VERSION=0.13.0
 CUDA_MAJOR_VERSION=11
-CUDA_MINOR_VERSION=0
+CUDA_MINOR_VERSION=3

From 4bd449696617f5c73a97aa81e9e9f3c457934a42 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 3 Aug 2022 21:54:54 +0000
Subject: [PATCH 1246/1660] Add conda libs to LD_LIBRARY_PATH

---
 Dockerfile.tmpl           | 3 +++
 packages/torch.Dockerfile | 3 +++
 2 files changed, 6 insertions(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 7b9ca54c..fc5de57c 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -8,6 +8,9 @@ ARG TORCHAUDIO_VERSION
 ARG TORCHTEXT_VERSION
 ARG TORCHVISION_VERSION
 
+# Ensures shared libraries installed with conda can be found by the dynamic link loader.
+ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/opt/conda/lib"
+
 {{ if eq .Accelerator "gpu" }}
 FROM gcr.io/kaggle-images/python-lightgbm-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${LIGHTGBM_VERSION} AS lightgbm_whl
 FROM gcr.io/kaggle-images/python-torch-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${TORCH_VERSION} AS torch_whl
diff --git a/packages/torch.Dockerfile b/packages/torch.Dockerfile
index e1c00fa0..4d86b00f 100644
--- a/packages/torch.Dockerfile
+++ b/packages/torch.Dockerfile
@@ -21,6 +21,9 @@ RUN conda install -c pytorch magma-cuda${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION
 ENV PYTORCH_BUILD_VERSION=$PACKAGE_VERSION
 ENV PYTORCH_BUILD_NUMBER=1
 
+# Ensures shared libraries installed with conda can be found by the dynamic link loader.
+# For PyTorch, we need specifically mkl.
+ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/opt/conda/lib"
 ENV TORCH_CUDA_ARCH_LIST="3.7;6.0;7.0+PTX;7.5+PTX"
 ENV FORCE_CUDA=1
 RUN cd /usr/local/src && \

From ca77a9b917da10e4436bdd6c551b254ba754ff56 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 4 Aug 2022 09:17:46 -0700
Subject: [PATCH 1247/1660] Add tensorflow_decision_forests package (#1183)

Add also smoke test to prevent regression.
---
 Dockerfile.tmpl                           |  1 +
 tests/test_tensorflow_decision_forests.py | 18 ++++++++++++++++++
 2 files changed, 19 insertions(+)
 create mode 100644 tests/test_tensorflow_decision_forests.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 0210890a..5f0815bd 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -169,6 +169,7 @@ RUN pip install pysal && \
     pip install -f https://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html h2o && \
     pip install tensorflow-gcs-config==2.6.0 && \
     pip install tensorflow-addons==0.14.0 && \
+    pip install tensorflow_decision_forests==0.2.0 && \
     /tmp/clean-layer.sh
 
 RUN apt-get install -y libfreetype6-dev && \
diff --git a/tests/test_tensorflow_decision_forests.py b/tests/test_tensorflow_decision_forests.py
new file mode 100644
index 00000000..aeeb2e7d
--- /dev/null
+++ b/tests/test_tensorflow_decision_forests.py
@@ -0,0 +1,18 @@
+import unittest
+
+import numpy as np
+import pandas as pd
+import tensorflow_decision_forests as tfdf
+
+class TestTensorflowDecisionForest(unittest.TestCase):
+    def test_fit(self):
+        train_df = pd.read_csv("/input/tests/data/train.csv")
+
+        # Convert the dataset into a TensorFlow dataset.
+        train_ds = tfdf.keras.pd_dataframe_to_tf_dataset(train_df, label="label")
+        
+        # Train the model
+        model = tfdf.keras.RandomForestModel(num_trees=1)
+        model.fit(train_ds)
+
+        self.assertEqual(1, model.count_params())
\ No newline at end of file

From 4896dad6aa056463298eb17aa2c2c1cb52533eb2 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 10 Aug 2022 15:54:25 -0400
Subject: [PATCH 1248/1660] Use DLVM image m95

---
 config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/config.txt b/config.txt
index da2e96ec..722540f7 100644
--- a/config.txt
+++ b/config.txt
@@ -1,5 +1,5 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
-BASE_IMAGE_TAG=m94
+BASE_IMAGE_TAG=m95
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-9
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-9
 LIGHTGBM_VERSION=3.3.2

From 49aafb71423f6fe6148389b65e733087e6dcf786 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 10 Aug 2022 15:55:10 -0400
Subject: [PATCH 1249/1660] The tag name is m95_release for some reason

---
 config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/config.txt b/config.txt
index 722540f7..72f7847b 100644
--- a/config.txt
+++ b/config.txt
@@ -1,5 +1,5 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
-BASE_IMAGE_TAG=m95
+BASE_IMAGE_TAG=m95_release
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-9
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-9
 LIGHTGBM_VERSION=3.3.2

From 776a50a296e0b017988a62cc84d5014831c1b47e Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 10 Aug 2022 17:10:43 -0400
Subject: [PATCH 1250/1660] Reorder FROM & ENV so that build works correctly

---
 Dockerfile.tmpl | 17 ++++++++++-------
 1 file changed, 10 insertions(+), 7 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 0906b0f5..3222009f 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -8,13 +8,18 @@ ARG TORCHAUDIO_VERSION
 ARG TORCHTEXT_VERSION
 ARG TORCHVISION_VERSION
 
-# Ensures shared libraries installed with conda can be found by the dynamic link loader.
-ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/opt/conda/lib"
-
 {{ if eq .Accelerator "gpu" }}
 FROM gcr.io/kaggle-images/python-lightgbm-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${LIGHTGBM_VERSION} AS lightgbm_whl
 FROM gcr.io/kaggle-images/python-torch-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${TORCH_VERSION} AS torch_whl
 FROM ${BASE_IMAGE_REPO}/${GPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
+{{ else }}
+FROM ${BASE_IMAGE_REPO}/${CPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
+{{ end }}
+
+# Ensures shared libraries installed with conda can be found by the dynamic link loader.
+ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/opt/conda/lib"
+
+{{ if eq .Accelerator "gpu" }}
 ARG CUDA_MAJOR_VERSION
 ARG CUDA_MINOR_VERSION
 ENV CUDA_MAJOR_VERSION=${CUDA_MAJOR_VERSION}
@@ -25,12 +30,10 @@ ENV PATH=/opt/bin:${PATH}
 ENV LD_LIBRARY_PATH_NO_STUBS="$LD_LIBRARY_PATH"
 ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64/stubs"
 RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
-{{ else }}
-FROM ${BASE_IMAGE_REPO}/${CPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
 {{ end }}
+
 # Keep these variables in sync if base image is updated.
-# TODO(rosbo): Still 2.9.0 rc2. Wait for the 2.9.1
-ENV TENSORFLOW_VERSION=2.9.0
+ENV TENSORFLOW_VERSION=2.9.1
 
 # We need to redefine the ARG here to get the ARG value defined above the FROM instruction.
 # See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact

From d674a42d6188bec2de6d03be88f43c0e4e9dbaa1 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 15 Aug 2022 13:30:37 -0400
Subject: [PATCH 1251/1660] They fixed the tag to m95

---
 config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/config.txt b/config.txt
index 72f7847b..722540f7 100644
--- a/config.txt
+++ b/config.txt
@@ -1,5 +1,5 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
-BASE_IMAGE_TAG=m95_release
+BASE_IMAGE_TAG=m95
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-9
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-9
 LIGHTGBM_VERSION=3.3.2

From 8356a51849d7b631473f117079037d7fa1f07b6f Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 15 Aug 2022 21:32:40 -0400
Subject: [PATCH 1252/1660] Use LIBRARY_PATH instead of LD_LIBRARY_PATH for
 linking

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 3222009f..57196615 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -17,7 +17,7 @@ FROM ${BASE_IMAGE_REPO}/${CPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
 {{ end }}
 
 # Ensures shared libraries installed with conda can be found by the dynamic link loader.
-ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/opt/conda/lib"
+ENV LIBRARY_PATH="$LIBRARY_PATH:/opt/conda/lib"
 
 {{ if eq .Accelerator "gpu" }}
 ARG CUDA_MAJOR_VERSION

From 855fe8f99f831ae35387c88112345787bdba15cd Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 15 Aug 2022 22:15:30 -0400
Subject: [PATCH 1253/1660] We need both LIBRARY_PATH and LD_LIBRARY_PATH

---
 Dockerfile.tmpl | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 57196615..4ad2a088 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -18,6 +18,7 @@ FROM ${BASE_IMAGE_REPO}/${CPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
 
 # Ensures shared libraries installed with conda can be found by the dynamic link loader.
 ENV LIBRARY_PATH="$LIBRARY_PATH:/opt/conda/lib"
+ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/opt/conda/lib"
 
 {{ if eq .Accelerator "gpu" }}
 ARG CUDA_MAJOR_VERSION

From 85e1c423ca1f42477167e5d8575966a29e2e5a52 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 15 Aug 2022 22:16:48 -0400
Subject: [PATCH 1254/1660] LIBRARY_PATH & LD_LIBRARY_PATH for linking

---
 packages/torch.Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/packages/torch.Dockerfile b/packages/torch.Dockerfile
index 4d86b00f..b9e0f30e 100644
--- a/packages/torch.Dockerfile
+++ b/packages/torch.Dockerfile
@@ -23,6 +23,7 @@ ENV PYTORCH_BUILD_NUMBER=1
 
 # Ensures shared libraries installed with conda can be found by the dynamic link loader.
 # For PyTorch, we need specifically mkl.
+ENV LIBRARY_PATH="$LIBRARY_PATH:/opt/conda/lib"
 ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/opt/conda/lib"
 ENV TORCH_CUDA_ARCH_LIST="3.7;6.0;7.0+PTX;7.5+PTX"
 ENV FORCE_CUDA=1
@@ -82,4 +83,4 @@ COPY --from=builder /usr/local/src/text/dist/*.whl /tmp/whl
 COPY --from=builder /usr/local/src/vision/dist/*.whl /tmp/whl
 
 # Print out the built .whl file.
-RUN ls -lh /tmp/whl/
\ No newline at end of file
+RUN ls -lh /tmp/whl/

From fb69472daafdb35ea5b3b274d838318993070f94 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 16 Aug 2022 10:47:42 -0400
Subject: [PATCH 1255/1660] ncurses.h is required to install torch audio

---
 packages/torch.Dockerfile | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/packages/torch.Dockerfile b/packages/torch.Dockerfile
index b9e0f30e..e9d2c167 100644
--- a/packages/torch.Dockerfile
+++ b/packages/torch.Dockerfile
@@ -42,7 +42,10 @@ RUN pip install /usr/local/src/pytorch/dist/*.whl
 # Instructions: https://github.com/pytorch/audio#from-source
 # See comment above for PYTORCH_BUILD_VERSION.
 ENV BUILD_VERSION=$TORCHAUDIO_VERSION
-RUN cd /usr/local/src && \
+RUN sudo apt-get update && \
+    # ncurses.h is required for this install
+    sudo apt-get install libncurses-dev && \
+    cd /usr/local/src && \
     git clone https://github.com/pytorch/audio && \
     cd audio && \
     git checkout tags/v$TORCHAUDIO_VERSION && \

From 74046c252cd94e7fbae2768e6d73c355ac47dc99 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 16 Aug 2022 17:10:19 -0400
Subject: [PATCH 1256/1660] Bump cudf/cuml to 21.12

This is the newest version that supports both CUDA 11.X & Python 3.7
---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 4ad2a088..0ae3d01a 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -89,7 +89,7 @@ RUN conda config --add channels nvidia && \
 
 # b/232247930: uninstall pyarrow to avoid double installation with the GPU specific version.
 RUN pip uninstall -y pyarrow && \
-    conda install cudf=21.10 cuml=21.10 cudatoolkit=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION && \
+    conda install cudf=21.12 cuml=21.12 cudatoolkit=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION && \
     /tmp/clean-layer.sh
 {{ end }}
 

From ba6160ceaea5112d19a73760fec2466dac61003c Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 16 Aug 2022 17:50:50 -0400
Subject: [PATCH 1257/1660] Update Dockerfile.tmpl

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 0ae3d01a..ed79684e 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -141,7 +141,7 @@ RUN pip install jax[cpu] && \
 # Install mxnet
 {{ if eq .Accelerator "gpu" }}
 # No specific package for 11.3 minor versions, using 11.2 instead.
-RUN pip install mxnet-cu$112 && \
+RUN pip install mxnet-cu112 && \
     /tmp/clean-layer.sh
 {{ else }}
 RUN pip install mxnet && \

From df511c3103e3c304cc97e24f3772a31b541556ee Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 16 Aug 2022 17:57:41 -0400
Subject: [PATCH 1258/1660] remove extra $

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index ed79684e..877eab4d 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -164,7 +164,7 @@ RUN pip install pycuda && \
     pip install pynvrtc && \
     pip install pynvml && \
     # No specific package for 11.x minor versions.
-    pip install nnabla-ext-cuda$110 && \
+    pip install nnabla-ext-cuda110 && \
     /tmp/clean-layer.sh
 {{ end }}
 

From a86e055990a89eb5603cf95bd6945fc817d8020d Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Wed, 17 Aug 2022 15:58:22 +0000
Subject: [PATCH 1259/1660] update tensorflow decision forest and addons

---
 Dockerfile.tmpl | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 877eab4d..a7264f02 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -179,8 +179,8 @@ RUN pip install pysal && \
     pip install -f https://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html h2o && \
     pip install tensorflow-gcs-config==${TENSORFLOW_VERSION} && \
     # TODO(b/207851560) Upgrade to 0.17.1 once the base image with TensorFlow 2.9.1 is out.
-    pip install tensorflow-addons==0.17.0 && \
-    pip install tensorflow_decision_forests==0.2.0 && \
+    pip install tensorflow-addons==0.17.1 && \
+    pip install tensorflow_decision_forests==0.2.7 && \
     /tmp/clean-layer.sh
 
 RUN apt-get install -y libfreetype6-dev && \

From 6819d36bb87293790d70e9547e8a3ae13e6c2f62 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Mon, 22 Aug 2022 15:39:09 +0000
Subject: [PATCH 1260/1660] Add support for pytables (so pandas can r/w h5
 files)

http://b/242704740
---
 Dockerfile.tmpl  |  1 +
 test_pytables.py | 13 +++++++++++++
 2 files changed, 14 insertions(+)
 create mode 100644 test_pytables.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 5f0815bd..15fffc47 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -513,6 +513,7 @@ RUN pip install flashtext && \
     pip install ipympl==0.7.0 && \
     pip install pandarallel && \
     pip install onnx && \
+    pip install tables && \
     /tmp/clean-layer.sh
 
 # Download base easyocr models.
diff --git a/test_pytables.py b/test_pytables.py
new file mode 100644
index 00000000..20ec0b7b
--- /dev/null
+++ b/test_pytables.py
@@ -0,0 +1,13 @@
+import unittest
+
+import pandas as pd
+from pandas.testing import assert_frame_equal
+
+
+class TestPandasPytables(unittest.TestCase):
+
+    def test_rw_hd5(self):
+        want = pd.DataFrame([[1, 1.0, 'a']], columns=['x', 'y', 'z'])
+        want.to_hdf('./want.h5', 'data')
+        got = pd.read_hdf('./want.h5')
+        assert_frame_equal(want, got)

From 0393f41e4bc2ca260acb850567d0a6f952bcc861 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Mon, 12 Sep 2022 19:10:53 +0000
Subject: [PATCH 1261/1660] Add openpyxl

http://b/242744818
---
 Dockerfile.tmpl        |  1 +
 tests/test_openpyxl.py | 13 +++++++++++++
 2 files changed, 14 insertions(+)
 create mode 100644 tests/test_openpyxl.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 15fffc47..9c6800fd 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -514,6 +514,7 @@ RUN pip install flashtext && \
     pip install pandarallel && \
     pip install onnx && \
     pip install tables && \
+    pip install openpyxl && \
     /tmp/clean-layer.sh
 
 # Download base easyocr models.
diff --git a/tests/test_openpyxl.py b/tests/test_openpyxl.py
new file mode 100644
index 00000000..0a5adf7c
--- /dev/null
+++ b/tests/test_openpyxl.py
@@ -0,0 +1,13 @@
+import unittest
+
+import pandas as pd
+from pandas.testing import assert_frame_equal
+
+
+class TestPandasOpenPyXL(unittest.TestCase):
+
+    def test_rw_excel(self):
+        want = pd.DataFrame([[1, 10, 'a']], columns=['x', 'y', 'z'])
+        want.to_excel('./want.xlsx', index=False, engine="openpyxl")
+        got = pd.read_excel('./want.xlsx', engine="openpyxl")
+        assert_frame_equal(want, got)
\ No newline at end of file

From 0528d4696edbaf511c657f9df5dbb93e5fe3bf3b Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Fri, 16 Sep 2022 18:28:18 +0000
Subject: [PATCH 1262/1660] TPU Image with python3.8

Tensorflow for TPU VM is not supported on python3.7 and therefore we
need a brand new image instead of one based on prior images.

http://b/213335159
---
 Jenkinsfile                        | 29 +------------
 packages/tpu-tensorflow.Dockerfile | 56 ------------------------
 tpu/Dockerfile                     | 69 +++++++++++++++++++-----------
 tpu/config.txt                     |  4 +-
 4 files changed, 45 insertions(+), 113 deletions(-)
 delete mode 100644 packages/tpu-tensorflow.Dockerfile

diff --git a/Jenkinsfile b/Jenkinsfile
index df058e8b..6ffa9c26 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -56,22 +56,6 @@ pipeline {
             '''
           }
         }
-        stage('tensorflow TPU') {
-          options {
-            timeout(time: 240, unit: 'MINUTES')
-          }
-          steps {
-            sh '''#!/bin/bash
-              set -exo pipefail
-              source tpu/config.txt
-              cd packages/
-              ./build_package --base-image gcr.io/kaggle-images/python:${BASE_IMAGE_TAG} \
-                --package tpu-tensorflow \
-                --version $TENSORFLOW_VERSION \
-                --push
-            '''
-          }
-        }
       }
     }
     stage('Build/Test/Diff') {
@@ -171,23 +155,12 @@ pipeline {
           stages {
             stage('Build Tensorflow TPU Image') {
               options {
-                timeout(time: 20, unit: 'MINUTES')
+                timeout(time: 60, unit: 'MINUTES')
               }
               steps {
                 sh '''#!/bin/bash
                   set -exo pipefail
 
-                  # Login to docker to get access to gcr.io/cloud-tpu-v2-images/libtpu
-                  # SA: jenkins-test@kaggle-playground-170215.iam.gserviceaccount.com
-                  # To grant access to a SA, start a TPU VM with that SA once.
-                  # Disable echo to avoid printing sensitive tokens:
-                  set +x
-                  METADATA=http://metadata.google.internal/computeMetadata/v1
-                  SVC_ACCT=$METADATA/instance/service-accounts/default
-                  ACCESS_TOKEN=$(/usr/bin/curl -s -H 'Metadata-Flavor: Google' $SVC_ACCT/token | cut -d'"' -f 4)
-                  docker login --username oauth2accesstoken --password $ACCESS_TOKEN https://gcr.io
-                  set -x
-
                   ./tpu/build | ts
                   ./push --tpu ${PRETEST_TAG}
                 '''
diff --git a/packages/tpu-tensorflow.Dockerfile b/packages/tpu-tensorflow.Dockerfile
deleted file mode 100644
index 23139db3..00000000
--- a/packages/tpu-tensorflow.Dockerfile
+++ /dev/null
@@ -1,56 +0,0 @@
-ARG BASE_IMAGE
-
-FROM ${BASE_IMAGE} AS builder
-
-ARG PACKAGE_VERSION
-
-# Use Bazelisk to ensure the proper bazel version is used.
-RUN cd /usr/local/src && \
-    wget --no-verbose "https://github.com/bazelbuild/bazelisk/releases/download/v1.11.0/bazelisk-linux-amd64" && \
-    mv bazelisk-linux-amd64 /usr/local/bin/bazel && \
-    chmod u+x /usr/local/bin/bazel
-
-# Fetch TensorFlow & install dependencies.
-RUN cd /usr/local/src && \
-    git clone https://github.com/tensorflow/tensorflow && \
-    cd tensorflow && \
-    git checkout tags/v${PACKAGE_VERSION} && \
-    # TODO(rosbo): Is it really needed?
-    pip install keras_applications --no-deps && \
-    pip install keras_preprocessing --no-deps
-
-# Create a TensorFlow wheel for TPU
-RUN cd /usr/local/src/tensorflow && \
-    cat /dev/null | ./configure && \
-    bazel build \
-            --config=opt \
-            --distinct_host_configuration=true \
-            --define=framework_shared_object=true \
-            --define=with_tpu_support=true \
-            --copt=-DLIBTPU_ON_GCE \
-        //tensorflow/tools/pip_package:build_pip_package \
-            --local_ram_resources=HOST_RAM*.5
-
-RUN cd /usr/local/src/tensorflow && \
-    bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg
-
-# Build TensorFlow addons library against TensorFlow CPU.
-#RUN cd /usr/local/src/ && \
-#    git clone https://github.com/tensorflow/addons && \
-#    cd addons && \
-#    git checkout tags/v0.12.1 && \
-#    python ./configure.py && \
-#    bazel build --enable_runfiles build_pip_pkg && \
-#    bazel-bin/build_pip_pkg /tmp/tfa_cpu && \
-#    bazel clean
-
-# Build tensorflow_gcs_config library against TensorFlow CPU.
-#ADD tensorflow-gcs-config /usr/local/src/tensorflow_gcs_config/
-#RUN cd /usr/local/src/tensorflow_gcs_config && \
-#    apt-get install -y libcurl4-openssl-dev && \
-#    python setup.py bdist_wheel -d /tmp/tensorflow_gcs_config && \
-#    bazel clean
-
-# Use multi-stage builds to minimize image output size.
-FROM alpine:latest
-COPY --from=builder /tmp/tensorflow_pkg/tensorflow*.whl /tmp/tensorflow_pkg/
\ No newline at end of file
diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 797288d6..49498e05 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -1,43 +1,60 @@
-ARG BASE_IMAGE_TAG
-ARG TENSORFLOW_VERSION
-
-FROM gcr.io/kaggle-images/python-tpu-tensorflow-whl:python-${BASE_IMAGE_TAG}-${TENSORFLOW_VERSION} AS tensorflow_whl
-FROM gcr.io/kaggle-images/python:${BASE_IMAGE_TAG}
+FROM python:3.8
 
 # We need to define the ARG here to get the ARG below the FROM statement to access it within this build context
 # See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
 ARG TORCH_VERSION
+ARG TENSORFLOW_VERSION
 
 ENV ISTPUVM=1
 
-COPY --from=tensorflow_whl /tmp/tensorflow_pkg/tensorflow*.whl /tmp/tensorflow_pkg/
-RUN pip install /tmp/tensorflow_pkg/tensorflow*.whl && \
-    rm -rf /tmp/tensorflow_pkg && \
-    /tmp/clean-layer.sh
+ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
+ADD patches/template_conf.json /opt/kaggle/conf.json
+
+# Tensorflow install:
+RUN pip install https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl && \
+    curl --output /lib/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/1.3.0/libtpu.so
 
 # LIBTPU installed here:
-ENV DEFAULT_LIBTPU=/opt/conda/lib/python3.7/site-packages/libtpu/libtpu.so
-ENV PYTORCH_LIBTPU=/opt/conda/lib/python3.7/site-packages/libtpu/torch-libtpu.so
-ENV JAX_LIBTPU=/opt/conda/lib/python3.7/site-packages/libtpu/jax-libtpu.so
+ENV PIP_LIBTPU=/usr/local/lib/python3.8/site-packages/libtpu/libtpu.so
+ENV DEFAULT_LIBTPU=/lib/libtpu.so
+ENV PYTORCH_LIBTPU=/lib/torch-libtpu.so
+ENV JAX_LIBTPU=/lib/jax-libtpu.so
+
+# https://cloud.google.com/tpu/docs/jax-quickstart-tpu-vm#install_jax_on_your_cloud_tpu_vm
+RUN pip install "jax[tpu]==0.3.10" -f https://storage.googleapis.com/jax-releases/libtpu_releases.html
+
+RUN cp $PIP_LIBTPU $JAX_LIBTPU
 
 # https://cloud.google.com/tpu/docs/pytorch-xla-ug-tpu-vm#changing_pytorch_version
-RUN pip uninstall -y torch && \
-    pip install torch==${TORCH_VERSION} && \
-    # The URL doesn't include patch version. i.e. must use 1.11 instead of 1.11.0
-    pip install torch_xla[tpuvm] -f https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-${TORCH_VERSION%.*}-cp37-cp37m-linux_x86_64.whl && \
-    cp $DEFAULT_LIBTPU $PYTORCH_LIBTPU && \
-    /tmp/clean-layer.sh
+RUN pip install torch==${TORCH_VERSION}
+  
+# The URL doesn't include patch version. i.e. must use 1.11 instead of 1.11.0
+RUN pip install torch_xla[tpuvm] -f https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-${TORCH_VERSION%.*}-cp38-cp38-linux_x86_64.whl
 
-# https://cloud.google.com/tpu/docs/jax-quickstart-tpu-vm#install_jax_on_your_cloud_tpu_vm
-RUN pip install "jax[tpu]>=0.2.16" -f https://storage.googleapis.com/jax-releases/libtpu_releases.html && \
-    cp $DEFAULT_LIBTPU $JAX_LIBTPU && \
-    /tmp/clean-layer.sh
+RUN cp $PIP_LIBTPU $PYTORCH_LIBTPU
 
 # Monkey-patch TF, JAX & PYTORCH to load the correct libtpu.so when they are imported:
-RUN sed -i "s|^\(\(.*\)libtpu.configure_library_path.*\)|\1\n\2os.environ['TPU_LIBRARY_PATH'] = '${PYTORCH_LIBTPU}'|" /opt/conda/lib/python3.7/site-packages/torch_xla/__init__.py && \
-    sed -i "s|^\(\(.*\)libtpu.configure_library_path.*\)|\1\n\2os.environ['TPU_LIBRARY_PATH'] = '${JAX_LIBTPU}'|" /opt/conda/lib/python3.7/site-packages/jax/_src/cloud_tpu_init.py && \
-    sed -i "1s/^/from jax._src.cloud_tpu_init import cloud_tpu_init\ncloud_tpu_init()\n/" /opt/conda/lib/python3.7/site-packages/tensorflow/__init__.py
+RUN sed -i "s|^\(\(.*\)libtpu.configure_library_path.*\)|\1\n\2os.environ['TPU_LIBRARY_PATH'] = '${PYTORCH_LIBTPU}'|" /usr/local/lib/python3.8/site-packages/torch_xla/__init__.py && \
+    sed -i "s|^\(\(.*\)libtpu.configure_library_path.*\)|\1\n\2os.environ['TPU_LIBRARY_PATH'] = '${JAX_LIBTPU}'|" /usr/local/lib/python3.8/site-packages/jax/_src/cloud_tpu_init.py
+
+# Packages needed by the Notebook editor:
+RUN pip install papermill jupyterlab python-lsp-server[all] jupyterlab-lsp
 
 # Set these env vars so that they don't produce errs calling the metadata server to load them:
 ENV TPU_ACCELERATOR_TYPE=v3-8
-ENV TPU_PROCESS_ADDRESSES=local
\ No newline at end of file
+ENV TPU_PROCESS_ADDRESSES=local
+
+# Metadata
+ARG GIT_COMMIT=unknown
+ARG BUILD_DATE=unknown
+
+LABEL git-commit=$GIT_COMMIT
+LABEL build-date=$BUILD_DATE
+ENV GIT_COMMIT=${GIT_COMMIT}
+ENV BUILD_DATE=${BUILD_DATE}
+
+LABEL tensorflow-version=$TENSORFLOW_VERSION
+LABEL kaggle-lang=python
+
+# Correlate current release with the git hash inside the kernel editor by running `!cat /etc/git_commit`.
+RUN echo "$GIT_COMMIT" > /etc/git_commit && echo "$BUILD_DATE" > /etc/build_date
diff --git a/tpu/config.txt b/tpu/config.txt
index 569f305c..5590f9f1 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -1,4 +1,2 @@
-# TODO(b/213335159): Use ci-pretest for BASE_IMAGE_TAG once stable.
-BASE_IMAGE_TAG=v115
-TENSORFLOW_VERSION=2.8.0
+TENSORFLOW_VERSION=2.9.1
 TORCH_VERSION=1.11.0
\ No newline at end of file

From 3df3b6dc4c964e4d2326d6348eb4abdd7732bb9c Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 19 Sep 2022 11:53:24 -0400
Subject: [PATCH 1263/1660] Update config.txt

---
 config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/config.txt b/config.txt
index 722540f7..fab6002b 100644
--- a/config.txt
+++ b/config.txt
@@ -1,5 +1,5 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
-BASE_IMAGE_TAG=m95
+BASE_IMAGE_TAG=m96
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-9
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-9
 LIGHTGBM_VERSION=3.3.2

From 6bb31b0fa5393bee62d92f83f3e44164ea9d4d7c Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Mon, 19 Sep 2022 19:12:08 +0000
Subject: [PATCH 1264/1660] fix pytorch audio and drop allennlp and dlib

---
 Dockerfile.tmpl           | 12 +++++++++---
 packages/torch.Dockerfile |  2 ++
 tests/test_allennlp.py    | 15 ---------------
 tests/test_dlib.py        | 14 --------------
 4 files changed, 11 insertions(+), 32 deletions(-)
 delete mode 100644 tests/test_allennlp.py
 delete mode 100644 tests/test_dlib.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index a7264f02..1bea1757 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -402,7 +402,8 @@ RUN pip install bleach && \
     pip install ipykernel && \
     pip install ipython && \
     pip install ipython-genutils && \
-    pip install ipywidgets && \
+    # Fix qgrid by pinning ipywidgets https://github.com/quantopian/qgrid/issues/376
+    pip install ipywidgets==7.7.1 && \
     pip install isoweek && \
     pip install jedi && \
     pip install jsonschema && \
@@ -445,7 +446,9 @@ RUN pip install bleach && \
     pip install pyarrow && \
     pip install feather-format && \
     pip install fastai && \
-    pip install allennlp && \
+    # allennlp is in maintenance mode https://github.com/allenai/allennlp
+    # It downgrades the Pytorch install to 1.11.
+    #pip install allennlp && \
     pip install importlib-metadata && \
     python -m spacy download en_core_web_sm && python -m spacy download en_core_web_lg && \
     apt-get install -y ffmpeg && \
@@ -504,7 +507,10 @@ RUN pip install flashtext && \
     pip install transformers && \
     # b/232247930 >= 2.2.0 requires pyarrow >= 6.0.0 which conflicts with dependencies for rapidsai 0.21.*
     pip install datasets==2.1.0 && \
-    pip install dlib && \
+    # dlib has a libmkl incompatibility:
+    # test_dlib_face_detector (test_dlib.TestDLib) ... INTEL MKL ERROR: /opt/conda/bin/../lib/libmkl_avx512.so.2: undefined symbol: mkl_sparse_optimize_bsr_trsm_i8.
+    # Intel MKL FATAL ERROR: Cannot load libmkl_avx512.so.2 or libmkl_def.so.2.
+    #pip install dlib && \
     pip install kaggle-environments && \
     pip install geopandas && \
     pip install nnabla && \
diff --git a/packages/torch.Dockerfile b/packages/torch.Dockerfile
index e9d2c167..82eca376 100644
--- a/packages/torch.Dockerfile
+++ b/packages/torch.Dockerfile
@@ -45,6 +45,8 @@ ENV BUILD_VERSION=$TORCHAUDIO_VERSION
 RUN sudo apt-get update && \
     # ncurses.h is required for this install
     sudo apt-get install libncurses-dev && \
+    # Fixing the build: https://github.com/pytorch/audio/issues/666#issuecomment-635928685
+    conda install -c conda-forge ncurses && \
     cd /usr/local/src && \
     git clone https://github.com/pytorch/audio && \
     cd audio && \
diff --git a/tests/test_allennlp.py b/tests/test_allennlp.py
deleted file mode 100644
index 1bc80f2d..00000000
--- a/tests/test_allennlp.py
+++ /dev/null
@@ -1,15 +0,0 @@
-import unittest
-
-from allennlp.data.tokenizers import SpacyTokenizer
-
-
-class TestAllenNlp(unittest.TestCase):
-    # reference
-    # https://github.com/allenai/allennlp/blob/master/allennlp/tests/data/tokenizers/word_tokenizer_test.py
-    def test_passes_through_correctly(self):
-        tokenizer = SpacyTokenizer()
-        sentence = "this (sentence) has 'crazy' \"punctuation\"."
-        tokens = [t.text for t in tokenizer.tokenize(sentence)]
-        expected_tokens = ["this", "(", "sentence", ")", "has", "'", "crazy", "'", "\"",
-                           "punctuation", "\"", "."]
-        self.assertSequenceEqual(tokens, expected_tokens)
diff --git a/tests/test_dlib.py b/tests/test_dlib.py
deleted file mode 100644
index 9e8ff28d..00000000
--- a/tests/test_dlib.py
+++ /dev/null
@@ -1,14 +0,0 @@
-import unittest
-
-import cv2
-import dlib
-
-
-class TestDLib(unittest.TestCase):
-    def test_dlib_face_detector(self):
-        detector = dlib.get_frontal_face_detector()
-        image = cv2.imread('/input/tests/data/face.jpg')
-        image_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
-        faces = detector(image_gray, 1)
-
-        self.assertEqual(len(faces), 1)

From 54a0a3283ba9510a5bfa9e909f8390d95ebd5862 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Tue, 20 Sep 2022 16:36:00 +0000
Subject: [PATCH 1265/1660] fix cpu build, rm nnabla

---
 Dockerfile.tmpl      | 10 ++++++----
 tests/test_nnabla.py | 28 ----------------------------
 2 files changed, 6 insertions(+), 32 deletions(-)
 delete mode 100644 tests/test_nnabla.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 1bea1757..88603925 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -34,7 +34,7 @@ RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/lib
 {{ end }}
 
 # Keep these variables in sync if base image is updated.
-ENV TENSORFLOW_VERSION=2.9.1
+ENV TENSORFLOW_VERSION=2.9.2
 
 # We need to redefine the ARG here to get the ARG value defined above the FROM instruction.
 # See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
@@ -177,7 +177,7 @@ RUN pip install pysal && \
     # Use `conda install -c h2oai h2o` once Python 3.7 version is released to conda.
     apt-get install -y default-jre-headless && \
     pip install -f https://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html h2o && \
-    pip install tensorflow-gcs-config==${TENSORFLOW_VERSION} && \
+    pip install "tensorflow-gcs-config<=${TENSORFLOW_VERSION}" && \
     # TODO(b/207851560) Upgrade to 0.17.1 once the base image with TensorFlow 2.9.1 is out.
     pip install tensorflow-addons==0.17.1 && \
     pip install tensorflow_decision_forests==0.2.7 && \
@@ -496,7 +496,8 @@ RUN pip install flashtext && \
     pip install optuna && \
     pip install plotly_express && \
     pip install albumentations && \
-    pip install catalyst && \
+    # Breaks protobuf compatibiilty in newer versions:
+    pip install catalyst tensorboardX==2.5.1 && \
     # b/206990323 osmx 1.1.2 requires numpy >= 1.21 which we don't want. 
     pip install osmnx==1.1.1 && \
     apt-get -y install libspatialindex-dev && \
@@ -513,7 +514,8 @@ RUN pip install flashtext && \
     #pip install dlib && \
     pip install kaggle-environments && \
     pip install geopandas && \
-    pip install nnabla && \
+    # Breaks protobuf compatibiilty:
+    #pip install nnabla && \
     pip install vowpalwabbit && \
     pip install pydub && \
     pip install pydegensac && \
diff --git a/tests/test_nnabla.py b/tests/test_nnabla.py
deleted file mode 100644
index ffb37fa4..00000000
--- a/tests/test_nnabla.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import unittest
-
-import numpy as np
-import nnabla as nn
-import nnabla.functions as F
-from nnabla.ext_utils import get_extension_context
-
-from common import gpu_test
-
-
-class TestNNabla(unittest.TestCase):
-    def test_addition(self):
-        # entry variables
-        a = nn.Variable.from_numpy_array(np.random.random())
-        b = nn.Variable.from_numpy_array(np.random.random())
-
-        # add operation
-        c = a + b
-
-        # forward
-        c.forward()
-
-        self.assertAlmostEqual(c.d, a.d + b.d, places=3)
-
-    @gpu_test
-    def test_cuda_ext(self):
-        ctx = get_extension_context('cudnn', device_id='0')
-        nn.set_default_context(ctx)

From d6986db59e4db7676c903018b2c3c28ab30d743e Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Thu, 22 Sep 2022 13:56:43 +0000
Subject: [PATCH 1266/1660] gpu build timed out, increase build time to 12hr
 for now

---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index df058e8b..f8ebdb68 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -122,7 +122,7 @@ pipeline {
           stages {  
             stage('Build GPU Image') {
               options {
-                timeout(time: 180, unit: 'MINUTES')
+                timeout(time: 720, unit: 'MINUTES')
               }
               steps {
                 sh '''#!/bin/bash

From 0254f612baf3a69e88f48d0dcfb253416e39ad82 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 26 Sep 2022 12:06:20 -0400
Subject: [PATCH 1267/1660] Update Jenkinsfile

---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index f8ebdb68..ebcd5403 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -122,7 +122,7 @@ pipeline {
           stages {  
             stage('Build GPU Image') {
               options {
-                timeout(time: 720, unit: 'MINUTES')
+                timeout(time: 4324, unit: 'MINUTES')
               }
               steps {
                 sh '''#!/bin/bash

From 6ce9512390862c66ff810da5f0e3c4969260622b Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Fri, 30 Sep 2022 12:15:09 -0400
Subject: [PATCH 1268/1660] Trying m97

---
 config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/config.txt b/config.txt
index fab6002b..c04d68fb 100644
--- a/config.txt
+++ b/config.txt
@@ -1,5 +1,5 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
-BASE_IMAGE_TAG=m96
+BASE_IMAGE_TAG=m97
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-9
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-9
 LIGHTGBM_VERSION=3.3.2

From 3409a95cd89c10be993a30a442052ec1f9ea8a59 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Fri, 30 Sep 2022 14:55:39 -0400
Subject: [PATCH 1269/1660] Install rapids ai using mamba which is *incredibly*
 faster

---
 Dockerfile.tmpl | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 88603925..9da2c772 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -89,7 +89,8 @@ RUN conda config --add channels nvidia && \
 
 # b/232247930: uninstall pyarrow to avoid double installation with the GPU specific version.
 RUN pip uninstall -y pyarrow && \
-    conda install cudf=21.12 cuml=21.12 cudatoolkit=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION && \
+    conda install -c conda-forge mamba && \
+    mamba install cudf=21.12 cuml=21.12 cudatoolkit=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION && \
     /tmp/clean-layer.sh
 {{ end }}
 

From 0aed512871f4120e52ca2a339a3c32accf54e5af Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Fri, 30 Sep 2022 15:06:15 -0400
Subject: [PATCH 1270/1660] Allow mamba to find a compatible Rapids version

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 9da2c772..aa63e969 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -90,7 +90,7 @@ RUN conda config --add channels nvidia && \
 # b/232247930: uninstall pyarrow to avoid double installation with the GPU specific version.
 RUN pip uninstall -y pyarrow && \
     conda install -c conda-forge mamba && \
-    mamba install cudf=21.12 cuml=21.12 cudatoolkit=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION && \
+    mamba install cudf cuml cudatoolkit && \
     /tmp/clean-layer.sh
 {{ end }}
 

From ef84269fd394bfc80015a9e7db326d9dbd08f3b5 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 3 Oct 2022 11:40:21 -0400
Subject: [PATCH 1271/1660] Trying m96 with mamba

---
 config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/config.txt b/config.txt
index c04d68fb..fab6002b 100644
--- a/config.txt
+++ b/config.txt
@@ -1,5 +1,5 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
-BASE_IMAGE_TAG=m97
+BASE_IMAGE_TAG=m96
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-9
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-9
 LIGHTGBM_VERSION=3.3.2

From 9471f17134c8f6417985c3f99e4c380870c5b8b2 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 3 Oct 2022 15:21:25 -0400
Subject: [PATCH 1272/1660] implicit started using a Matrix type which was
 breaking this check

---
 tests/test_implicit.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/tests/test_implicit.py b/tests/test_implicit.py
index 83eed4bb..bd18dc15 100644
--- a/tests/test_implicit.py
+++ b/tests/test_implicit.py
@@ -28,5 +28,5 @@ def test_model(self):
         model.fit(counts, show_progress=False)
         rows, cols = model.item_factors, model.user_factors
 
-        assert not np.isnan(np.sum(cols))
-        assert not np.isnan(np.sum(rows))
+        assert not np.isnan(np.sum(cols.to_numpy()))
+        assert not np.isnan(np.sum(rows.to_numpy()))

From 613042ea83459b67d6126a5bf342772553d0c8b8 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 4 Oct 2022 09:47:56 -0400
Subject: [PATCH 1273/1660] Handle optional to_numpy

---
 tests/test_implicit.py | 10 ++++++++--
 1 file changed, 8 insertions(+), 2 deletions(-)

diff --git a/tests/test_implicit.py b/tests/test_implicit.py
index bd18dc15..770e82b5 100644
--- a/tests/test_implicit.py
+++ b/tests/test_implicit.py
@@ -28,5 +28,11 @@ def test_model(self):
         model.fit(counts, show_progress=False)
         rows, cols = model.item_factors, model.user_factors
 
-        assert not np.isnan(np.sum(cols.to_numpy()))
-        assert not np.isnan(np.sum(rows.to_numpy()))
+        assert not np.isnan(np.sum(tonumpy(cols))
+        assert not np.isnan(np.sum(tonumpy(rows))
+
+
+def tonumpy(x):
+    if hasattr(x, 'to_numpy'):
+        return x.to_numpy()
+    return x

From fbf984e08741bc6aa1fefadbf786878e473ee9bc Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 4 Oct 2022 11:08:34 -0400
Subject: [PATCH 1274/1660] fix brackets

---
 tests/test_implicit.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/tests/test_implicit.py b/tests/test_implicit.py
index 770e82b5..9ab5bbf4 100644
--- a/tests/test_implicit.py
+++ b/tests/test_implicit.py
@@ -28,8 +28,8 @@ def test_model(self):
         model.fit(counts, show_progress=False)
         rows, cols = model.item_factors, model.user_factors
 
-        assert not np.isnan(np.sum(tonumpy(cols))
-        assert not np.isnan(np.sum(tonumpy(rows))
+        assert not np.isnan(np.sum(tonumpy(cols)))
+        assert not np.isnan(np.sum(tonumpy(rows)))
 
 
 def tonumpy(x):

From d7d0794b8d8805c953693355fa81264489b7f363 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Fri, 14 Oct 2022 15:51:44 -0400
Subject: [PATCH 1275/1660] Move Tensorflow to a wheel, install ecosystem
 packages

Instead of installing tensorflow directly, which is incompatible with the other packages, we'll simply provide the tensorflow TPU wheel in the image.
Also add ecosystem packages for Pytorch & JAX, and add pandas (we can add more popular packages as needed).

http://b/213335159
---
 tpu/Dockerfile | 19 ++++++++++++-------
 1 file changed, 12 insertions(+), 7 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 49498e05..1267093d 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -10,9 +10,11 @@ ENV ISTPUVM=1
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
 ADD patches/template_conf.json /opt/kaggle/conf.json
 
-# Tensorflow install:
-RUN pip install https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl && \
-    curl --output /lib/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/1.3.0/libtpu.so
+# Tensorflow wheel:
+# When tensorflow is compatible with being installed alongside JAX/Pytorch then we no longer need to include the wheel and can install it directly.
+# RUN pip install https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl
+RUN mkdir -p /lib/wheels && curl --output /lib/wheels/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl
+RUN curl --output /lib/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/1.3.0/libtpu.so
 
 # LIBTPU installed here:
 ENV PIP_LIBTPU=/usr/local/lib/python3.8/site-packages/libtpu/libtpu.so
@@ -20,16 +22,16 @@ ENV DEFAULT_LIBTPU=/lib/libtpu.so
 ENV PYTORCH_LIBTPU=/lib/torch-libtpu.so
 ENV JAX_LIBTPU=/lib/jax-libtpu.so
 
+# Install JAX & related packages
 # https://cloud.google.com/tpu/docs/jax-quickstart-tpu-vm#install_jax_on_your_cloud_tpu_vm
-RUN pip install "jax[tpu]==0.3.10" -f https://storage.googleapis.com/jax-releases/libtpu_releases.html
+RUN pip install "jax[tpu]==0.3.10" -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax elegy git+https://github.com/deepmind/dm-haiku jraph distrax
 
 RUN cp $PIP_LIBTPU $JAX_LIBTPU
 
+# Install Pytorch & related packages
 # https://cloud.google.com/tpu/docs/pytorch-xla-ug-tpu-vm#changing_pytorch_version
-RUN pip install torch==${TORCH_VERSION}
-  
 # The URL doesn't include patch version. i.e. must use 1.11 instead of 1.11.0
-RUN pip install torch_xla[tpuvm] -f https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-${TORCH_VERSION%.*}-cp38-cp38-linux_x86_64.whl
+RUN pip install torch==${TORCH_VERSION} torch_xla[tpuvm] -f https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-${TORCH_VERSION%.*}-cp38-cp38-linux_x86_64.whl torchvision==0.12.0 torchtext==0.12.0 torchaudio==0.11.0
 
 RUN cp $PIP_LIBTPU $PYTORCH_LIBTPU
 
@@ -40,6 +42,9 @@ RUN sed -i "s|^\(\(.*\)libtpu.configure_library_path.*\)|\1\n\2os.environ['TPU_L
 # Packages needed by the Notebook editor:
 RUN pip install papermill jupyterlab python-lsp-server[all] jupyterlab-lsp
 
+# Additional useful packages should be added here:
+RUN pip install pandas
+
 # Set these env vars so that they don't produce errs calling the metadata server to load them:
 ENV TPU_ACCELERATOR_TYPE=v3-8
 ENV TPU_PROCESS_ADDRESSES=local

From 151771375b51fe5e347072e93434e0040cfa5f81 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Tue, 18 Oct 2022 16:22:23 -0400
Subject: [PATCH 1276/1660] Pin accelerate which breaks catalyst on 2xT4 GPUs
 (#1188)

---
 Dockerfile.tmpl | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 9c6800fd..6eab7ca0 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -482,6 +482,8 @@ RUN pip install flashtext && \
     pip install optuna && \
     pip install plotly_express && \
     pip install albumentations && \
+    # b/254245259 catalyst requires accelerate but it breaks with the version 0.13.1
+    pip install accelerate==0.12.0 && \
     pip install catalyst && \
     # b/206990323 osmx 1.1.2 requires numpy >= 1.21 which we don't want. 
     pip install osmnx==1.1.1 && \

From 6a149fcb7123a34a85f6ffbd1fb6f837e7809cb7 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Mon, 24 Oct 2022 17:09:51 +0000
Subject: [PATCH 1277/1660] Run GPU unit tests on T4x2

This will verify that the unit tests pass on both GPU types.

http://b/254301311
---
 Jenkinsfile | 40 ++++++++++++++++++++++++++++++----------
 1 file changed, 30 insertions(+), 10 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 6ffa9c26..634d347b 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -126,17 +126,37 @@ pipeline {
               }
             }
             stage('Test GPU Image') {
-              options {
-                timeout(time: 20, unit: 'MINUTES')
-              }
-              steps {
-                sh '''#!/bin/bash
-                  set -exo pipefail
+              parallel {
+                stage('Test on P100') {
+                  agent { label 'ephemeral-linux-gpu' }
+                  options {
+                    timeout(time: 20, unit: 'MINUTES')
+                  }
+                  steps {
+                    sh '''#!/bin/bash
+                      set -exo pipefail
 
-                  date
-                  docker pull gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
-                  ./test --gpu --image gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
-                '''
+                      date
+                      docker pull gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
+                      ./test --gpu --image gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
+                    '''
+                  }
+                }
+                stage('Test on T4x2') {
+                  agent { label 'ephemeral-linux-gpu-t4x2' }
+                  options {
+                    timeout(time: 20, unit: 'MINUTES')
+                  }
+                  steps {
+                    sh '''#!/bin/bash
+                      set -exo pipefail
+
+                      date
+                      docker pull gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
+                      ./test --gpu --image gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
+                    '''
+                  }
+                }
               }
             }
             stage('Diff GPU Image') {

From 80f26c1cecd9c93e2e8d8f1b979c75b5aa14a50a Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 24 Oct 2022 13:32:26 -0400
Subject: [PATCH 1278/1660] Parallel cannot be nested inside parallel stages

---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 634d347b..70073847 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -126,7 +126,7 @@ pipeline {
               }
             }
             stage('Test GPU Image') {
-              parallel {
+              stages {
                 stage('Test on P100') {
                   agent { label 'ephemeral-linux-gpu' }
                   options {

From 29abf1aa22e513e6e6efdd437505736b94ac6f53 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 7 Nov 2022 16:24:45 -0500
Subject: [PATCH 1279/1660] Make torchtext & torchaudio load libomp

http://b/255757999
---
 Dockerfile.tmpl | 9 ++++++++-
 1 file changed, 8 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index eb05d878..3c8c3536 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -90,7 +90,7 @@ RUN conda config --add channels nvidia && \
 # b/232247930: uninstall pyarrow to avoid double installation with the GPU specific version.
 RUN pip uninstall -y pyarrow && \
     conda install -c conda-forge mamba && \
-    mamba install cudf cuml cudatoolkit && \
+    mamba install -y cudf cuml cudatoolkit && \
     /tmp/clean-layer.sh
 {{ end }}
 
@@ -108,6 +108,13 @@ RUN conda install implicit && \
 COPY --from=torch_whl /tmp/whl/*.whl /tmp/torch/
 RUN conda install -c pytorch magma-cuda${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION} && \
     pip install /tmp/torch/*.whl && \
+    # b/255757999 openmp (libomp.so) is an dependency of libtorchtext and libtorchaudio but
+    # the built from source versions don't seem to properly link it in. This forces the dep
+    # which makes sure that libomp is loaded when these libraries are loaded.
+    conda install -y openmp && \
+    pip install patchelf && \
+    patchelf --add-needed libomp.so.5 /opt/conda/lib/python3.7/site-packages/torchtext/lib/libtorchtext.so && \
+    patchelf --add-needed libomp.so.5 /opt/conda/lib/python3.7/site-packages/torchaudio/lib/libtorchaudio.so && \
     rm -rf /tmp/torch && \
     /tmp/clean-layer.sh
 {{ else }}

From 8f31a858d5f1596f323261d7c62eef418d81dba2 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 7 Nov 2022 20:43:36 -0500
Subject: [PATCH 1280/1660] Update Dockerfile.tmpl

---
 Dockerfile.tmpl | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 3c8c3536..0422db96 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -113,8 +113,8 @@ RUN conda install -c pytorch magma-cuda${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION
     # which makes sure that libomp is loaded when these libraries are loaded.
     conda install -y openmp && \
     pip install patchelf && \
-    patchelf --add-needed libomp.so.5 /opt/conda/lib/python3.7/site-packages/torchtext/lib/libtorchtext.so && \
-    patchelf --add-needed libomp.so.5 /opt/conda/lib/python3.7/site-packages/torchaudio/lib/libtorchaudio.so && \
+    patchelf --add-needed libomp.so /opt/conda/lib/python3.7/site-packages/torchtext/lib/libtorchtext.so && \
+    patchelf --add-needed libomp.so /opt/conda/lib/python3.7/site-packages/torchaudio/lib/libtorchaudio.so && \
     rm -rf /tmp/torch && \
     /tmp/clean-layer.sh
 {{ else }}

From 87d59c98bb7d7d7afc0f405a0e82873dac356ba4 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 9 Nov 2022 15:08:36 -0500
Subject: [PATCH 1281/1660] Update Dockerfile.tmpl

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 0422db96..f7991ef5 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -90,7 +90,7 @@ RUN conda config --add channels nvidia && \
 # b/232247930: uninstall pyarrow to avoid double installation with the GPU specific version.
 RUN pip uninstall -y pyarrow && \
     conda install -c conda-forge mamba && \
-    mamba install -y cudf cuml cudatoolkit && \
+    mamba install -y cudf cuml cudatoolkit==11.2.2 && \
     /tmp/clean-layer.sh
 {{ end }}
 

From abaa7f0abc6ad127fffe1d573c278811c894c0ce Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 21 Nov 2022 16:24:58 -0500
Subject: [PATCH 1282/1660] force cudatoolkit 11.2.2

---
 Dockerfile.tmpl | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index f7991ef5..00dcea92 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -90,7 +90,9 @@ RUN conda config --add channels nvidia && \
 # b/232247930: uninstall pyarrow to avoid double installation with the GPU specific version.
 RUN pip uninstall -y pyarrow && \
     conda install -c conda-forge mamba && \
-    mamba install -y cudf cuml cudatoolkit==11.2.2 && \
+    mamba install -y cudf cuml && \
+    # b/255757999: Force switch the cudatoolkit version back to the existing installation so it is compatible with pytorch
+    conda remove -y --force cudatoolkit=11.2.72 && mamba install --channel https://conda.anaconda.org/conda-forge/linux-64 cudatoolkit=11.2.2 && \
     /tmp/clean-layer.sh
 {{ end }}
 

From 962daca54d33f7402bbff5a5647fa00ebbc1ecc0 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 22 Nov 2022 09:56:00 -0500
Subject: [PATCH 1283/1660] Use mamba for all conda installs

---
 Dockerfile.tmpl | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 00dcea92..fdf56c9b 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -80,16 +80,16 @@ ENV PROJ_LIB=/opt/conda/share/proj
 # the remaining pip commands: https://www.anaconda.com/using-pip-in-a-conda-environment/
 RUN conda config --add channels nvidia && \
     conda config --add channels rapidsai && \
+    conda install -c conda-forge mamba && \
     # Base image channel order: conda-forge (highest priority), defaults.
     # End state: rapidsai (highest priority), nvidia, conda-forge, defaults.
-    conda install mkl cartopy=0.19 imagemagick=7.1 pyproj==3.1.0 && \
+    mamba install mkl cartopy=0.19 imagemagick=7.1 pyproj==3.1.0 && \
     /tmp/clean-layer.sh
 
 {{ if eq .Accelerator "gpu" }}
 
 # b/232247930: uninstall pyarrow to avoid double installation with the GPU specific version.
 RUN pip uninstall -y pyarrow && \
-    conda install -c conda-forge mamba && \
     mamba install -y cudf cuml && \
     # b/255757999: Force switch the cudatoolkit version back to the existing installation so it is compatible with pytorch
     conda remove -y --force cudatoolkit=11.2.72 && mamba install --channel https://conda.anaconda.org/conda-forge/linux-64 cudatoolkit=11.2.2 && \
@@ -98,22 +98,22 @@ RUN pip uninstall -y pyarrow && \
 
 # Install implicit
 {{ if eq .Accelerator "gpu" }}
-RUN conda install implicit implicit-proc=*=gpu && \
+RUN mamba install implicit implicit-proc=*=gpu && \
     /tmp/clean-layer.sh
 {{ else }}
-RUN conda install implicit && \
+RUN mamba install implicit && \
     /tmp/clean-layer.sh
 {{ end}}
 
 # Install PyTorch
 {{ if eq .Accelerator "gpu" }}
 COPY --from=torch_whl /tmp/whl/*.whl /tmp/torch/
-RUN conda install -c pytorch magma-cuda${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION} && \
+RUN mamba install -c pytorch magma-cuda${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION} && \
     pip install /tmp/torch/*.whl && \
     # b/255757999 openmp (libomp.so) is an dependency of libtorchtext and libtorchaudio but
     # the built from source versions don't seem to properly link it in. This forces the dep
     # which makes sure that libomp is loaded when these libraries are loaded.
-    conda install -y openmp && \
+    mamba install -y openmp && \
     pip install patchelf && \
     patchelf --add-needed libomp.so /opt/conda/lib/python3.7/site-packages/torchtext/lib/libtorchtext.so && \
     patchelf --add-needed libomp.so /opt/conda/lib/python3.7/site-packages/torchaudio/lib/libtorchaudio.so && \

From 6732bc31bb8a62037fca9079b167588f652e77d5 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 22 Nov 2022 09:58:03 -0500
Subject: [PATCH 1284/1660] Undo force cudatoolkit, causes inconsistent env

---
 Dockerfile.tmpl | 2 --
 1 file changed, 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index fdf56c9b..08b517e1 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -91,8 +91,6 @@ RUN conda config --add channels nvidia && \
 # b/232247930: uninstall pyarrow to avoid double installation with the GPU specific version.
 RUN pip uninstall -y pyarrow && \
     mamba install -y cudf cuml && \
-    # b/255757999: Force switch the cudatoolkit version back to the existing installation so it is compatible with pytorch
-    conda remove -y --force cudatoolkit=11.2.72 && mamba install --channel https://conda.anaconda.org/conda-forge/linux-64 cudatoolkit=11.2.2 && \
     /tmp/clean-layer.sh
 {{ end }}
 

From 2ec8ae929a7cc166455621de3f4dcd7f3ca21086 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 22 Nov 2022 10:09:53 -0500
Subject: [PATCH 1285/1660] Use mamba & include cuda upgrades in build

---
 packages/torch.Dockerfile | 14 +++++++++++---
 1 file changed, 11 insertions(+), 3 deletions(-)

diff --git a/packages/torch.Dockerfile b/packages/torch.Dockerfile
index 82eca376..a90ffd3a 100644
--- a/packages/torch.Dockerfile
+++ b/packages/torch.Dockerfile
@@ -12,9 +12,17 @@ ARG CUDA_MINOR_VERSION
 # TORCHVISION_VERSION is mandatory
 RUN test -n "$TORCHVISION_VERSION"
 
+# Use mamba to speed up conda installs
+RUN conda install -c conda-forge mamba
+
+# Install cudf/cuml so that cudatoolkit upgrades are included in the pytorch build
+RUN conda config --add channels nvidia && \
+    conda config --add channels rapidsai
+RUN mamba install -y cudf cuml
+
 # Build instructions: https://github.com/pytorch/pytorch#from-source
-RUN conda install astunparse numpy ninja pyyaml mkl mkl-include setuptools cmake cffi typing_extensions future six requests dataclasses
-RUN conda install -c pytorch magma-cuda${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION}
+RUN mamba install astunparse numpy ninja pyyaml mkl mkl-include setuptools cmake cffi typing_extensions future six requests dataclasses
+RUN mamba install -c pytorch magma-cuda${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION}
 
 # By default, it uses the version from version.txt which includes the `a0` (alpha zero) suffix and part of the git hash.
 # This causes dependency conflicts like these: https://paste.googleplex.com/4786486378496000
@@ -46,7 +54,7 @@ RUN sudo apt-get update && \
     # ncurses.h is required for this install
     sudo apt-get install libncurses-dev && \
     # Fixing the build: https://github.com/pytorch/audio/issues/666#issuecomment-635928685
-    conda install -c conda-forge ncurses && \
+    mamba install -c conda-forge ncurses && \
     cd /usr/local/src && \
     git clone https://github.com/pytorch/audio && \
     cd audio && \

From 6d085724dc0fb3db42ecc3f25d6ae989d4961d9c Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 22 Nov 2022 12:09:39 -0500
Subject: [PATCH 1286/1660] add deps for tf for installing offline

---
 tpu/Dockerfile | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 1267093d..001b8434 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -13,8 +13,11 @@ ADD patches/template_conf.json /opt/kaggle/conf.json
 # Tensorflow wheel:
 # When tensorflow is compatible with being installed alongside JAX/Pytorch then we no longer need to include the wheel and can install it directly.
 # RUN pip install https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl
+# To install offline:
+# pip install --no-index --find-links /lib/wheels/sources /lib/wheels/tensorflow-2.9.1-cp38-cp38-linux_x86_64.whl
 RUN mkdir -p /lib/wheels && curl --output /lib/wheels/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl
 RUN curl --output /lib/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/1.3.0/libtpu.so
+RUN pip download -d /lib/wheels/sources /lib/wheels/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl
 
 # LIBTPU installed here:
 ENV PIP_LIBTPU=/usr/local/lib/python3.8/site-packages/libtpu/libtpu.so

From ae991f34a6ef1a0a8c3038305c66e967778853d7 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Wed, 23 Nov 2022 15:27:32 +0000
Subject: [PATCH 1287/1660] Upgrade TPU Pytorch to 1.13

---
 tpu/Dockerfile |  8 ++++++--
 tpu/config.txt | 10 +++++++++-
 2 files changed, 15 insertions(+), 3 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 001b8434..965c0679 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -4,6 +4,10 @@ FROM python:3.8
 # See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
 ARG TORCH_VERSION
 ARG TENSORFLOW_VERSION
+ARG JAX_VERSION
+ARG TORCHVISION_VERSION
+ARG TORCHTEXT_VERSION
+ARG TORCHAUDIO_VERSION
 
 ENV ISTPUVM=1
 
@@ -27,14 +31,14 @@ ENV JAX_LIBTPU=/lib/jax-libtpu.so
 
 # Install JAX & related packages
 # https://cloud.google.com/tpu/docs/jax-quickstart-tpu-vm#install_jax_on_your_cloud_tpu_vm
-RUN pip install "jax[tpu]==0.3.10" -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax elegy git+https://github.com/deepmind/dm-haiku jraph distrax
+RUN pip install jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax elegy git+https://github.com/deepmind/dm-haiku jraph distrax
 
 RUN cp $PIP_LIBTPU $JAX_LIBTPU
 
 # Install Pytorch & related packages
 # https://cloud.google.com/tpu/docs/pytorch-xla-ug-tpu-vm#changing_pytorch_version
 # The URL doesn't include patch version. i.e. must use 1.11 instead of 1.11.0
-RUN pip install torch==${TORCH_VERSION} torch_xla[tpuvm] -f https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-${TORCH_VERSION%.*}-cp38-cp38-linux_x86_64.whl torchvision==0.12.0 torchtext==0.12.0 torchaudio==0.11.0
+RUN pip install torch==${TORCH_VERSION} torch_xla[tpuvm] -f https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-${TORCH_VERSION%.*}-cp38-cp38-linux_x86_64.whl torchvision==${TORCHVISION_VERSION} torchtext==${TORCHTEXT_VERSION} torchaudio==${TORCHAUDIO_VERSION}
 
 RUN cp $PIP_LIBTPU $PYTORCH_LIBTPU
 
diff --git a/tpu/config.txt b/tpu/config.txt
index 5590f9f1..6299feca 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -1,2 +1,10 @@
 TENSORFLOW_VERSION=2.9.1
-TORCH_VERSION=1.11.0
\ No newline at end of file
+JAX_VERSION=0.3.10
+# Supports nightly
+TORCH_VERSION=1.13.0
+# https://github.com/pytorch/audio supports nightly
+TORCHAUDIO_VERSION=0.13.0
+# https://github.com/pytorch/text supports main
+TORCHTEXT_VERSION=0.14.0
+# https://github.com/pytorch/vision supports nightly
+TORCHVISION_VERSION=0.14.0
\ No newline at end of file

From 9f27a5b09db940b24c102d1f4b9d9be8ccf22880 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 6 Dec 2022 11:35:19 -0500
Subject: [PATCH 1288/1660] Add Kaggle patches

---
 tpu/Dockerfile | 16 ++++++++++++++++
 1 file changed, 16 insertions(+)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 965c0679..f615fcd2 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -14,6 +14,22 @@ ENV ISTPUVM=1
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
 ADD patches/template_conf.json /opt/kaggle/conf.json
 
+# Add BigQuery client proxy settings, kaggle secrets etc.
+ENV PYTHONUSERBASE "/root/.local"
+ADD patches/kaggle_secrets.py /root/.local/lib/python3.8/site-packages/kaggle_secrets.py
+ADD patches/kaggle_session.py /root/.local/lib/python3.8/site-packages/kaggle_session.py
+ADD patches/kaggle_web_client.py /root/.local/lib/python3.8/site-packages/kaggle_web_client.py
+ADD patches/kaggle_datasets.py /root/.local/lib/python3.8/site-packages/kaggle_datasets.py
+
+# Disable GCP integrations for now
+# ADD patches/kaggle_gcp.py /root/.local/lib/python3.8/site-packages/kaggle_gcp.py
+
+# Disable logging to file (why do we need this?)
+# ADD patches/log.py /root/.local/lib/python3.8/site-packages/log.py
+
+# sitecustomize adds significant latency to ipython kernel startup and should only be added if needed
+# ADD patches/sitecustomize.py /root/.local/lib/python3.8/site-packages/sitecustomize.py
+
 # Tensorflow wheel:
 # When tensorflow is compatible with being installed alongside JAX/Pytorch then we no longer need to include the wheel and can install it directly.
 # RUN pip install https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl

From 617b4221853a6eae8bb6399a179e573316f739a3 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Wed, 14 Dec 2022 10:17:03 -0500
Subject: [PATCH 1289/1660] Install mock package (#1197)

http://b/262387811
---
 Dockerfile.tmpl | 1 +
 Jenkinsfile     | 2 +-
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 6eab7ca0..0f29e038 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -326,6 +326,7 @@ RUN pip install mpld3 && \
     pip install geoplot && \
     pip install eli5 && \
     pip install kaggle && \
+    pip install mock && \
     /tmp/clean-layer.sh
 
 RUN pip install tensorpack && \   
diff --git a/Jenkinsfile b/Jenkinsfile
index 70073847..895664ab 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -145,7 +145,7 @@ pipeline {
                 stage('Test on T4x2') {
                   agent { label 'ephemeral-linux-gpu-t4x2' }
                   options {
-                    timeout(time: 20, unit: 'MINUTES')
+                    timeout(time: 30, unit: 'MINUTES')
                   }
                   steps {
                     sh '''#!/bin/bash

From 8f7feba886181713e72485465f5f066226c21cce Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Thu, 15 Dec 2022 07:52:06 -0500
Subject: [PATCH 1290/1660] Install git-lfs (#1196)

http://b/259404664
---
 Dockerfile.tmpl | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 0f29e038..d0b291bb 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -239,6 +239,7 @@ RUN pip install scipy && \
     apt-get install -y pandoc && \
     pip install git+https://github.com/scikit-learn-contrib/py-earth.git@issue191 && \
     pip install essentia && \
+    apt-get install -y git-lfs && \
     /tmp/clean-layer.sh
 
 # vtk with dependencies

From 99f65f009505771369104242a063a2337315065a Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Thu, 15 Dec 2022 16:49:03 -0500
Subject: [PATCH 1291/1660] Pin scikit-learn-intelex as the newest version
 breaks (#1199)

http://b/262387811
---
 Dockerfile.tmpl | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index d0b291bb..c3031919 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -218,7 +218,8 @@ RUN pip install ibis-framework && \
 RUN pip install scipy && \
     pip install scikit-learn && \
     # Scikit-learn accelerated library for x86 
-    pip install scikit-learn-intelex && \
+    # TODO(b/262387811#4) Unpin when the package is fixed.
+    pip install scikit-learn-intelex==2021.6.3 && \
     # HDF5 support
     pip install h5py && \
     pip install biopython && \

From dd3762e8771ae09a9cf32cdce11b517994595fa5 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Thu, 5 Jan 2023 13:35:25 -0500
Subject: [PATCH 1292/1660] Pin google-api-core (#1204)

http://b/264520478
---
 Dockerfile.tmpl | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index c3031919..fdd101c8 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -359,6 +359,7 @@ RUN pip install --upgrade cython && \
     pip install category_encoders && \
     # google-cloud-automl 2.0.0 introduced incompatible API changes, need to pin to 1.0.1
     pip install google-cloud-automl==1.0.1 && \
+    pip install google-api-core==1.33.2 && \
     pip install google-cloud-bigquery==2.2.0 && \
     pip install google-cloud-storage && \
     pip install google-cloud-translate==3.* && \

From cef92be3c6f0502d32f3220efc810b49940aca43 Mon Sep 17 00:00:00 2001
From: Jim Plotts <jplotts@google.com>
Date: Thu, 19 Jan 2023 19:15:15 +0000
Subject: [PATCH 1293/1660] Update GPG key per documentation (#1206)

---
 Dockerfile.tmpl | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index fdd101c8..2fd40a29 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -53,6 +53,10 @@ RUN pip uninstall -y horovod && \
     /tmp/clean-layer.sh
 {{ end }}
 
+# Update GPG key per documentation at https://cloud.google.com/compute/docs/troubleshooting/known-issues
+RUN curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key add -
+RUN curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key --keyring /usr/share/keyrings/cloud.google.gpg add -
+
 # Use a fixed apt-get repo to stop intermittent failures due to flaky httpredir connections,
 # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
 RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \

From e08d2741216e7799a9488a07c153ecf7467815d6 Mon Sep 17 00:00:00 2001
From: Nikolay Petrov <sfasp.post@gmail.com>
Date: Fri, 20 Jan 2023 18:47:36 +0000
Subject: [PATCH 1294/1660] Updating scikit-learn-intelex pacakge

---
 Dockerfile.tmpl | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 2fd40a29..f640363a 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -222,8 +222,7 @@ RUN pip install ibis-framework && \
 RUN pip install scipy && \
     pip install scikit-learn && \
     # Scikit-learn accelerated library for x86 
-    # TODO(b/262387811#4) Unpin when the package is fixed.
-    pip install scikit-learn-intelex==2021.6.3 && \
+    pip install scikit-learn-intelex>=2023.0.1 && \
     # HDF5 support
     pip install h5py && \
     pip install biopython && \

From 102fb40b4fcc668e46ebe963bf39ed77fd4bc26b Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Fri, 20 Jan 2023 19:44:19 -0500
Subject: [PATCH 1295/1660] Remove the PDPBox package which still relies on
 sklearn + pin prophet (#1198)

---
 Dockerfile.tmpl      |  3 +--
 tests/test_pdpbox.py | 26 --------------------------
 2 files changed, 1 insertion(+), 28 deletions(-)
 delete mode 100644 tests/test_pdpbox.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 2fd40a29..bec2ba93 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -312,7 +312,7 @@ RUN pip install mpld3 && \
     pip install pyexcel-ods && \
     pip install sklearn-pandas && \
     pip install stemming && \
-    pip install prophet && \
+    pip install prophet==1.1.1 && \
     pip install holoviews && \
     pip install geoviews && \
     pip install hypertools && \
@@ -478,7 +478,6 @@ RUN pip install flashtext && \
     pip install pandasql && \
     pip install tensorflow_hub && \
     pip install jieba  && \
-    pip install git+https://github.com/SauceCat/PDPbox && \
     # ggplot is broken and main repo does not merge and release https://github.com/yhat/ggpy/pull/668
     pip install https://github.com/hbasria/ggpy/archive/0.11.5.zip && \
     pip install cesium && \
diff --git a/tests/test_pdpbox.py b/tests/test_pdpbox.py
deleted file mode 100644
index d820f5b0..00000000
--- a/tests/test_pdpbox.py
+++ /dev/null
@@ -1,26 +0,0 @@
-import numpy as np
-import pandas as pd
-from pdpbox import pdp
-import unittest
-from sklearn.model_selection import train_test_split
-from sklearn.tree import DecisionTreeClassifier
-
-class TestPdpbox(unittest.TestCase):
-    def test_simple_pdp(self):
-        # set up data
-        data = pd.read_csv("/input/tests/data/fifa_2018_stats.csv")
-        y = (data['Man of the Match'] == "Yes")
-        feature_names = [i for i in data.columns if data[i].dtype in [np.int64]]
-        X = data[feature_names]
-        train_X, val_X, train_y, val_y = train_test_split(X, y, random_state=1)
-        # Build simple model
-        tree_model = DecisionTreeClassifier(random_state=0,
-                                            max_depth=3).fit(train_X, train_y)
-
-        # Set up pdp as table
-        pdp_goals = pdp.pdp_isolate(model=tree_model,
-                                    dataset=val_X,
-                                    model_features=feature_names,
-                                    feature='Goal Scored')
-        # make plot
-        pdp.pdp_plot(pdp_goals, 'Goal Scored')

From f3a04b04980c158f95fb2502de833dbade1ba61c Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Sat, 21 Jan 2023 07:59:37 -0500
Subject: [PATCH 1296/1660] Install Timm package (#1207)

http://b/266100526
---
 Dockerfile.tmpl    | 1 +
 tests/test_timm.py | 9 +++++++++
 2 files changed, 10 insertions(+)
 create mode 100644 tests/test_timm.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index bec2ba93..f1f2d2b8 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -524,6 +524,7 @@ RUN pip install flashtext && \
     pip install onnx && \
     pip install tables && \
     pip install openpyxl && \
+    pip install timm && \
     /tmp/clean-layer.sh
 
 # Download base easyocr models.
diff --git a/tests/test_timm.py b/tests/test_timm.py
new file mode 100644
index 00000000..5dac0ec6
--- /dev/null
+++ b/tests/test_timm.py
@@ -0,0 +1,9 @@
+import unittest
+
+import timm
+
+
+class TestTimm(unittest.TestCase):
+    def test_list_models(self):
+        models = timm.list_models()
+        self.assertGreater(len(models), 0)

From e2c624bcb92fb6908ef65d37c85236568f8b747c Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Sat, 21 Jan 2023 08:24:56 -0500
Subject: [PATCH 1297/1660] Add a bug to the prophet pin (#1209)

http://b/266272046
---
 Dockerfile.tmpl | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index f1f2d2b8..bcde4446 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -312,6 +312,7 @@ RUN pip install mpld3 && \
     pip install pyexcel-ods && \
     pip install sklearn-pandas && \
     pip install stemming && \
+    # b/266272046 prophet 1.1.2 breaks the test
     pip install prophet==1.1.1 && \
     pip install holoviews && \
     pip install geoviews && \

From 37ea223a594ee218e480882851a146344a8304dd Mon Sep 17 00:00:00 2001
From: Dmytro Mishkin <ducha.aiki@gmail.com>
Date: Sun, 22 Jan 2023 17:10:54 +0100
Subject: [PATCH 1298/1660] Added pycolmap

---
 Dockerfile.tmpl        | 11 ++++++-----
 tests/test_pycolmap.py | 13 +++++++++++++
 2 files changed, 19 insertions(+), 5 deletions(-)
 create mode 100644 tests/test_pycolmap.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index bcde4446..9e820dcd 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -36,7 +36,7 @@ ARG TORCHAUDIO_VERSION
 ARG TORCHTEXT_VERSION
 ARG TORCHVISION_VERSION
 
-# Disable pesky logs like: KMP_AFFINITY: pid 6121 tid 6121 thread 0 bound to OS proc set 0 
+# Disable pesky logs like: KMP_AFFINITY: pid 6121 tid 6121 thread 0 bound to OS proc set 0
 # See: https://stackoverflow.com/questions/57385766/disable-tensorflow-log-information
 ENV KMP_WARNINGS=0
 # Also make the KMP logs noverbose.
@@ -221,7 +221,7 @@ RUN pip install ibis-framework && \
 
 RUN pip install scipy && \
     pip install scikit-learn && \
-    # Scikit-learn accelerated library for x86 
+    # Scikit-learn accelerated library for x86
     # TODO(b/262387811#4) Unpin when the package is fixed.
     pip install scikit-learn-intelex==2021.6.3 && \
     # HDF5 support
@@ -336,7 +336,7 @@ RUN pip install mpld3 && \
     pip install mock && \
     /tmp/clean-layer.sh
 
-RUN pip install tensorpack && \   
+RUN pip install tensorpack && \
     # Add google PAIR-code Facets
     cd /opt/ && git clone https://github.com/PAIR-code/facets && cd facets/ && jupyter nbextension install facets-dist/ --user && \
     export PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/ && \
@@ -374,7 +374,7 @@ RUN pip install --upgrade cython && \
     # b/183041606#comment5: the Kaggle data proxy doesn't support these APIs. If the library is missing, it falls back to using a regular BigQuery query to fetch data.
     pip uninstall -y google-cloud-bigquery-storage && \
     # After launch this should be installed from pip
-    pip install git+https://github.com/googleapis/python-aiplatform.git@mb-release && \ 
+    pip install git+https://github.com/googleapis/python-aiplatform.git@mb-release && \
     pip install ortools && \
     pip install scattertext && \
     # Pandas data reader
@@ -493,7 +493,7 @@ RUN pip install flashtext && \
     # b/254245259 catalyst requires accelerate but it breaks with the version 0.13.1
     pip install accelerate==0.12.0 && \
     pip install catalyst && \
-    # b/206990323 osmx 1.1.2 requires numpy >= 1.21 which we don't want. 
+    # b/206990323 osmx 1.1.2 requires numpy >= 1.21 which we don't want.
     pip install osmnx==1.1.1 && \
     apt-get -y install libspatialindex-dev && \
     pip install pytorch-ignite && \
@@ -526,6 +526,7 @@ RUN pip install flashtext && \
     pip install tables && \
     pip install openpyxl && \
     pip install timm && \
+    pip install pycolmap && \
     /tmp/clean-layer.sh
 
 # Download base easyocr models.
diff --git a/tests/test_pycolmap.py b/tests/test_pycolmap.py
new file mode 100644
index 00000000..f74fed2c
--- /dev/null
+++ b/tests/test_pycolmap.py
@@ -0,0 +1,13 @@
+import unittest
+
+import numpy as np
+import cv2
+import pycolmap
+
+class TestPycolmap(unittest.TestCase):
+    def test_sift(self):
+        img = cv2.cvtColor(cv2.imread('/input/tests/data/face.jpg'), cv2.COLOR_BGR2GRAY)
+        img = img.astype(np.float32)/255.
+        sift = pycolmap.Sift()
+        keypoints, scores, descriptors = sift.extract(img)
+        self.assertEqual(keypoints.shape, (64, 4))

From f7f0e54074598b126831c248fc79a619ce6f17d7 Mon Sep 17 00:00:00 2001
From: Jirka <jirka.borovec@seznam.cz>
Date: Wed, 25 Jan 2023 12:03:00 +0100
Subject: [PATCH 1299/1660] aggregate 1/n

---
 Dockerfile.tmpl | 97 ++++++++++++++++++++++++++-----------------------
 1 file changed, 51 insertions(+), 46 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 9e820dcd..6660b735 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -106,7 +106,12 @@ RUN conda install -c pytorch magma-cuda${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION
     rm -rf /tmp/torch && \
     /tmp/clean-layer.sh
 {{ else }}
-RUN pip install torch==$TORCH_VERSION+cpu torchvision==$TORCHVISION_VERSION+cpu torchaudio==$TORCHAUDIO_VERSION+cpu torchtext==$TORCHTEXT_VERSION -f https://download.pytorch.org/whl/torch_stable.html && \
+RUN pip install \
+        torch==$TORCH_VERSION+cpu \
+        torchvision==$TORCHVISION_VERSION+cpu \
+        torchaudio==$TORCHAUDIO_VERSION+cpu \
+        torchtext==$TORCHTEXT_VERSION \
+    -f https://download.pytorch.org/whl/torch_stable.html && \
     /tmp/clean-layer.sh
 {{ end }}
 
@@ -155,39 +160,39 @@ RUN pip install spacy && \
 # Install GPU specific packages
 {{ if eq .Accelerator "gpu" }}
 # Install GPU-only packages
-RUN pip install pycuda && \
-    pip install pynvrtc && \
-    pip install pynvml && \
-    pip install nnabla-ext-cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \
+RUN pip install pycuda \
+        pynvrtc \
+        pynvml \
+        nnabla-ext-cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION && \
     /tmp/clean-layer.sh
 {{ end }}
 
-RUN pip install pysal && \
-    pip install seaborn python-dateutil dask python-igraph && \
-    pip install pyyaml joblib husl geopy mne pyshp && \
-    pip install pandas && \
-    pip install flax && \
+RUN pip install pysal \
+        seaborn python-dateutil dask python-igraph \
+        pyyaml joblib husl geopy mne pyshp \
+        pandas \
+        flax \
     # Install h2o from source.
     # Use `conda install -c h2oai h2o` once Python 3.7 version is released to conda.
     apt-get install -y default-jre-headless && \
-    pip install -f https://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html h2o && \
-    pip install tensorflow-gcs-config==2.6.0 && \
-    pip install tensorflow-addons==0.14.0 && \
-    pip install tensorflow_decision_forests==0.2.0 && \
+    pip install -f https://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html h2o \
+        tensorflow-gcs-config==2.6.0 \
+        tensorflow-addons==0.14.0 \
+        tensorflow_decision_forests==0.2.0 && \
     /tmp/clean-layer.sh
 
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
     # b/198300835 kornia 4.1.0 is not compatible with our version of numpy.
     pip install gensim==4.0.1 && \
-    pip install textblob && \
-    pip install wordcloud && \
-    pip install xgboost && \
-    pip install pydot && \
-    # Pinned because it breaks theano test with the latest version (b/178107003).
-    pip install theano-pymc==1.0.11 && \
-    pip install python-Levenshtein && \
-    pip install hep_ml && \
+        textblob \
+        wordcloud \
+        xgboost \
+        pydot \
+        # Pinned because it breaks theano test with the latest version (b/178107003).
+        theano-pymc==1.0.11 \
+        python-Levenshtein \
+        hep_ml && \
     # NLTK Project datasets
     mkdir -p /usr/share/nltk_data && \
     # NLTK Downloader no longer continues smoothly after an error, so we explicitly list
@@ -208,8 +213,8 @@ RUN apt-get install -y libfreetype6-dev && \
     twitter_samples udhr2 udhr unicode_samples universal_tagset universal_treebanks_v20 \
     vader_lexicon verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe && \
     # Stop-words
-    pip install stop-words && \
-    pip install scikit-image && \
+    pip install stop-words \
+        scikit-image && \
     /tmp/clean-layer.sh
 
 RUN pip install ibis-framework && \
@@ -219,31 +224,31 @@ RUN pip install ibis-framework && \
     pip install gluoncv && \
     /tmp/clean-layer.sh
 
-RUN pip install scipy && \
-    pip install scikit-learn && \
-    # Scikit-learn accelerated library for x86
-    # TODO(b/262387811#4) Unpin when the package is fixed.
-    pip install scikit-learn-intelex==2021.6.3 && \
-    # HDF5 support
-    pip install h5py && \
-    pip install biopython && \
-    # PUDB, for local debugging convenience
-    pip install pudb && \
-    pip install imbalanced-learn && \
-    # Profiling and other utilities
-    pip install line_profiler && \
-    pip install orderedmultidict && \
-    pip install smhasher && \
-    pip install bokeh && \
-    pip install numba && \
-    pip install datashader && \
-    # Boruta (python implementation)
-    pip install Boruta && \
+RUN pip install scipy \
+        scikit-learn \
+        # Scikit-learn accelerated library for x86
+        # TODO(b/262387811#4) Unpin when the package is fixed.
+        scikit-learn-intelex==2021.6.3 \
+        # HDF5 support
+        h5py \
+        biopython \
+        # PUDB, for local debugging convenience
+        pudb \
+        imbalanced-learn \
+        # Profiling and other utilities
+        line_profiler \
+        orderedmultidict \
+        smhasher \
+        bokeh \
+        numba \
+        datashader \
+        # Boruta (python implementation)
+        Boruta && \
     apt-get install -y graphviz && pip install graphviz && \
     # Pandoc is a dependency of deap
     apt-get install -y pandoc && \
-    pip install git+https://github.com/scikit-learn-contrib/py-earth.git@issue191 && \
-    pip install essentia && \
+    pip install git+https://github.com/scikit-learn-contrib/py-earth.git@issue191 \
+        essentia && \
     apt-get install -y git-lfs && \
     /tmp/clean-layer.sh
 

From 13fe71f50365a685b706d1e827380c37eef8ceed Mon Sep 17 00:00:00 2001
From: Jirka <jirka.borovec@seznam.cz>
Date: Wed, 25 Jan 2023 12:06:35 +0100
Subject: [PATCH 1300/1660] aggregate 2/n

---
 Dockerfile.tmpl | 154 ++++++++++++++++++++++++------------------------
 1 file changed, 77 insertions(+), 77 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 6660b735..4fa3e720 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -260,85 +260,85 @@ RUN apt-get install -y libgl1-mesa-glx && \
     pip install xvfbwrapper && \
     /tmp/clean-layer.sh
 
-RUN pip install mpld3 && \
-    pip install gpxpy && \
-    pip install arrow && \
-    pip install nilearn && \
-    pip install nibabel && \
-    pip install pronouncing && \
-    pip install markovify && \
-    pip install imgaug && \
-    pip install preprocessing && \
-    pip install path.py && \
-    pip install Geohash && \
+RUN pip install mpld3 \
+        gpxpy \
+        arrow \
+        nilearn \
+        nibabel \
+        pronouncing \
+        markovify \
+        imgaug \
+        preprocessing \
+        path.py \
+        Geohash && \
     # https://github.com/vinsci/geohash/issues/4
     sed -i -- 's/geohash/.geohash/g' /opt/conda/lib/python3.7/site-packages/Geohash/__init__.py && \
-    pip install deap && \
-    pip install tpot && \
-    pip install scikit-optimize && \
-    pip install haversine && \
-    pip install toolz cytoolz && \
-    pip install plotly && \
-    pip install hyperopt && \
-    pip install fitter && \
-    pip install langid && \
-    # Delorean. Useful for dealing with datetime
-    pip install delorean && \
-    pip install trueskill && \
-    # Useful data exploration libraries (for missing data and generating reports)
-    pip install missingno && \
-    pip install pandas-profiling && \
-    pip install s2sphere && \
-    pip install bayesian-optimization && \
-    pip install matplotlib-venn && \
-    # b/184083722 pyldavis >= 3.3 requires numpy >= 1.20.0 but TensorFlow 2.4.1 / 2.5.0 requires 1.19.2
-    pip install pyldavis==3.2.2 && \
-    pip install mlxtend && \
-    pip install altair && \
-    pip install ImageHash && \
-    pip install ecos && \
-    pip install CVXcanon && \
-    pip install pymc3 && \
-    pip install imagecodecs && \
-    pip install tifffile && \
-    pip install spectral && \
-    pip install descartes && \
-    pip install geojson && \
-    pip install pydicom && \
-    pip install wavio && \
-    pip install SimpleITK && \
-    pip install hmmlearn && \
-    pip install bayespy && \
-    pip install gplearn && \
-    pip install PyAstronomy && \
-    pip install squarify && \
-    pip install fuzzywuzzy && \
-    pip install python-louvain && \
-    pip install pyexcel-ods && \
-    pip install sklearn-pandas && \
-    pip install stemming && \
-    # b/266272046 prophet 1.1.2 breaks the test
-    pip install prophet==1.1.1 && \
-    pip install holoviews && \
-    pip install geoviews && \
-    pip install hypertools && \
-    pip install py_stringsimjoin && \
-    pip install mlens && \
-    pip install scikit-multilearn && \
-    pip install cleverhans && \
-    pip install leven && \
-    pip install catboost && \
-    pip install lightfm && \
-    pip install folium && \
-    pip install scikit-plot && \
-    pip install fury dipy && \
-    pip install plotnine && \
-    pip install scikit-surprise && \
-    pip install pymongo && \
-    pip install geoplot && \
-    pip install eli5 && \
-    pip install kaggle && \
-    pip install mock && \
+    pip install deap \
+        tpot \
+        scikit-optimize \
+        haversine \
+        toolz cytoolz \
+        plotly \
+        hyperopt \
+        fitter \
+        langid \
+        # Delorean. Useful for dealing with datetime
+        delorean \
+        trueskill \
+        # Useful data exploration libraries (for missing data and generating reports)
+        missingno \
+        pandas-profiling \
+        s2sphere \
+        bayesian-optimization \
+        matplotlib-venn \
+        # b/184083722 pyldavis >= 3.3 requires numpy >= 1.20.0 but TensorFlow 2.4.1 / 2.5.0 requires 1.19.2
+        pyldavis==3.2.2 \
+        mlxtend \
+        altair \
+        ImageHash \
+        ecos \
+        CVXcanon \
+        pymc3 \
+        imagecodecs \
+        tifffile \
+        spectral \
+        descartes \
+        geojson \
+        pydicom \
+        wavio \
+        SimpleITK \
+        hmmlearn \
+        bayespy \
+        gplearn \
+        PyAstronomy \
+        squarify \
+        fuzzywuzzy \
+        python-louvain \
+        pyexcel-ods \
+        sklearn-pandas \
+        stemming \
+        # b/266272046 prophet 1.1.2 breaks the test
+        prophet==1.1.1 \
+        holoviews \
+        geoviews \
+        hypertools \
+        py_stringsimjoin \
+        mlens \
+        scikit-multilearn \
+        cleverhans \
+        leven \
+        catboost \
+        lightfm \
+        folium \
+        scikit-plot \
+        fury dipy \
+        plotnine \
+        scikit-surprise \
+        pymongo \
+        geoplot \
+        eli5 \
+        kaggle \
+        mock && \
     /tmp/clean-layer.sh
 
 RUN pip install tensorpack && \

From 91d0ca3a554d9dca943d30b30275fec0c7eb3e4f Mon Sep 17 00:00:00 2001
From: Jirka <jirka.borovec@seznam.cz>
Date: Wed, 25 Jan 2023 12:21:46 +0100
Subject: [PATCH 1301/1660] aggregate 3/n

---
 Dockerfile.tmpl | 79 ++++++++++++++++++++++++-------------------------
 1 file changed, 38 insertions(+), 41 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 4fa3e720..6c94c6c2 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -345,55 +345,52 @@ RUN pip install tensorpack && \
     # Add google PAIR-code Facets
     cd /opt/ && git clone https://github.com/PAIR-code/facets && cd facets/ && jupyter nbextension install facets-dist/ --user && \
     export PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/ && \
-    pip install pycountry && \
-    pip install iso3166 && \
-    pip install pydash && \
     pip install kmodes --no-dependencies && \
-    pip install librosa && \
-    pip install polyglot && \
-    pip install mmh3 && \
-    pip install fbpca && \
-    pip install sentencepiece && \
-    pip install cufflinks && \
-    pip install lime && \
-    pip install memory_profiler && \
+    pip install librosa \
+        polyglot \
+        mmh3 \
+        fbpca \
+        sentencepiece \
+        cufflinks \
+        lime \
+        memory_profiler && \
     /tmp/clean-layer.sh
 
 # install cython & cysignals before pyfasttext
-RUN pip install --upgrade cython && \
-    pip install --upgrade cysignals && \
-    pip install pyfasttext && \
-    pip install fasttext && \
+RUN pip install cython && \
+        cysignals \
+        pyfasttext \
+        fasttext && \
     apt-get install -y libhunspell-dev && pip install hunspell && \
-    pip install annoy && \
-    pip install category_encoders && \
-    # google-cloud-automl 2.0.0 introduced incompatible API changes, need to pin to 1.0.1
-    pip install google-cloud-automl==1.0.1 && \
-    pip install google-api-core==1.33.2 && \
-    pip install google-cloud-bigquery==2.2.0 && \
-    pip install google-cloud-storage && \
-    pip install google-cloud-translate==3.* && \
-    pip install google-cloud-language==2.* && \
-    pip install google-cloud-videointelligence==2.* && \
-    pip install google-cloud-vision==2.* && \
+    pip install annoy \
+        category_encoders \
+        # google-cloud-automl 2.0.0 introduced incompatible API changes, need to pin to 1.0.1
+        google-cloud-automl==1.0.1 \
+        google-api-core==1.33.2 \
+        google-cloud-bigquery==2.2.0 \
+        google-cloud-storage \
+        google-cloud-translate==3.* \
+        google-cloud-language==2.* \
+        google-cloud-videointelligence==2.* \
+        google-cloud-vision==2.* && \
     # b/183041606#comment5: the Kaggle data proxy doesn't support these APIs. If the library is missing, it falls back to using a regular BigQuery query to fetch data.
     pip uninstall -y google-cloud-bigquery-storage && \
     # After launch this should be installed from pip
-    pip install git+https://github.com/googleapis/python-aiplatform.git@mb-release && \
-    pip install ortools && \
-    pip install scattertext && \
-    # Pandas data reader
-    pip install pandas-datareader && \
-    pip install wordsegment && \
-    pip install wordbatch && \
-    pip install emoji && \
-    # Add Japanese morphological analysis engine
-    pip install janome && \
-    pip install wfdb && \
-    pip install vecstack && \
-    # yellowbrick machine learning visualization library
-    pip install yellowbrick && \
-    pip install mlcrate && \
+    pip install git+https://github.com/googleapis/python-aiplatform.git@mb-release \
+        ortools \
+        scattertext \
+        # Pandas data reader
+        pandas-datareader \
+        wordsegment \
+        wordbatch \
+        emoji \
+        # Add Japanese morphological analysis engine
+        janome \
+        wfdb \
+        vecstack \
+        # yellowbrick machine learning visualization library
+        yellowbrick \
+        mlcrate && \
     /tmp/clean-layer.sh
 
 RUN pip install bleach && \

From fc7b61352e722b86927053bb69e1f2df644963d4 Mon Sep 17 00:00:00 2001
From: Jirka <jirka.borovec@seznam.cz>
Date: Wed, 25 Jan 2023 12:25:56 +0100
Subject: [PATCH 1302/1660] aggregate 4/n

---
 Dockerfile.tmpl | 252 ++++++++++++++++++++++++------------------------
 1 file changed, 126 insertions(+), 126 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 6c94c6c2..eaa40689 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -393,60 +393,60 @@ RUN pip install cython && \
         mlcrate && \
     /tmp/clean-layer.sh
 
-RUN pip install bleach && \
-    pip install certifi && \
-    pip install cycler && \
-    pip install decorator && \
-    pip install entrypoints && \
-    pip install html5lib && \
-    pip install ipykernel && \
-    pip install ipython && \
-    pip install ipython-genutils && \
-    pip install ipywidgets && \
-    pip install isoweek && \
-    pip install jedi && \
-    pip install jsonschema && \
-    pip install jupyter-client && \
-    pip install jupyter-console && \
-    pip install jupyter-core && \
-    pip install jupyterlab-lsp && \
-    pip install MarkupSafe && \
-    pip install mistune && \
-    pip install nbformat && \
-    pip install notebook && \
-    pip install papermill && \
-    pip install python-lsp-server[all] && \
-    pip install olefile && \
-    # b/198300835 kornia 0.5.10 is not compatible with our version of numpy.
-    pip install kornia==0.5.8 && \
-    pip install pandas_summary && \
-    pip install pandocfilters && \
-    pip install pexpect && \
-    pip install pickleshare && \
-    pip install Pillow && \
+RUN pip install bleach \
+        certifi \
+        cycler \
+        decorator \
+        entrypoints \
+        html5lib \
+        ipykernel \
+        ipython \
+        ipython-genutils \
+        ipywidgets \
+        isoweek \
+        jedi \
+        jsonschema \
+        jupyter-client \
+        jupyter-console \
+        jupyter-core \
+        jupyterlab-lsp \
+        MarkupSafe \
+        mistune \
+        nbformat \
+        notebook \
+        papermill \
+        python-lsp-server[all] \
+        olefile \
+        # b/198300835 kornia 0.5.10 is not compatible with our version of numpy.
+        kornia==0.5.8 \
+        pandas_summary \
+        pandocfilters \
+        pexpect \
+        pickleshare \
+        Pillow && \
     # Install openslide and its python binding
     apt-get install -y openslide-tools && \
-    pip install openslide-python && \
-    pip install ptyprocess && \
-    pip install Pygments && \
-    pip install pyparsing && \
-    pip install pytz && \
-    pip install PyYAML && \
-    pip install pyzmq && \
-    pip install qtconsole && \
-    pip install six && \
-    pip install terminado && \
-    pip install tornado && \
-    pip install tqdm && \
-    pip install traitlets && \
-    pip install wcwidth && \
-    pip install webencodings && \
-    pip install widgetsnbextension && \
-    pip install pyarrow && \
-    pip install feather-format && \
-    pip install fastai && \
-    pip install allennlp && \
-    pip install importlib-metadata && \
+    pip install openslide-python \
+        ptyprocess \
+        Pygments \
+        pyparsing \
+        pytz \
+        PyYAML \
+        pyzmq \
+        qtconsole \
+        six \
+        terminado \
+        tornado \
+        tqdm \
+        traitlets \
+        wcwidth \
+        webencodings \
+        widgetsnbextension \
+        pyarrow \
+        feather-format \
+        fastai \
+        allennlp \
+        importlib-metadata && \
     python -m spacy download en_core_web_sm && python -m spacy download en_core_web_lg && \
     apt-get install -y ffmpeg && \
     /tmp/clean-layer.sh
@@ -459,76 +459,76 @@ RUN pip install bleach && \
     #
     ###########
 
-RUN pip install flashtext && \
-    pip install wandb && \
-    # b/214080882 blake3 0.3.0 is not compatible with vaex.
-    pip install blake3==0.2.1 && \
-    pip install vaex && \
-    pip install marisa-trie && \
-    pip install pyemd && \
-    pip install pyupset && \
-    pip install pympler && \
-    pip install s3fs && \
-    pip install featuretools && \
-    pip install -e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper && \
-    pip install hpsklearn && \
-    pip install git+https://github.com/Kaggle/learntools && \
-    pip install kmapper && \
-    pip install shap && \
-    pip install ray && \
-    pip install gym && \
-    pip install pyarabic && \
-    pip install pandasql && \
-    pip install tensorflow_hub && \
-    pip install jieba  && \
-    # ggplot is broken and main repo does not merge and release https://github.com/yhat/ggpy/pull/668
-    pip install https://github.com/hbasria/ggpy/archive/0.11.5.zip && \
-    pip install cesium && \
-    pip install rgf_python && \
-    # b/205704651 remove install cmd for matrixprofile after version > 1.1.10 is released.
-    pip install git+https://github.com/matrix-profile-foundation/matrixprofile.git@6bea7d4445284dbd9700a097974ef6d4613fbca7 && \
-    pip install tsfresh && \
-    pip install pykalman && \
-    pip install optuna && \
-    pip install plotly_express && \
-    pip install albumentations && \
-    # b/254245259 catalyst requires accelerate but it breaks with the version 0.13.1
-    pip install accelerate==0.12.0 && \
-    pip install catalyst && \
-    # b/206990323 osmx 1.1.2 requires numpy >= 1.21 which we don't want.
-    pip install osmnx==1.1.1 && \
+RUN pip install flashtext \
+        wandb \
+        # b/214080882 blake3 0.3.0 is not compatible with vaex.
+        blake3==0.2.1 \
+        vaex \
+        marisa-trie \
+        pyemd \
+        pyupset \
+        pympler \
+        s3fs \
+        featuretools \
+        -e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper \
+        hpsklearn \
+        git+https://github.com/Kaggle/learntools \
+        kmapper \
+        shap \
+        ray \
+        gym \
+        pyarabic \
+        pandasql \
+        tensorflow_hub \
+        jieba  \
+        # ggplot is broken and main repo does not merge and release https://github.com/yhat/ggpy/pull/668
+        https://github.com/hbasria/ggpy/archive/0.11.5.zip \
+        cesium \
+        rgf_python \
+        # b/205704651 remove install cmd for matrixprofile after version > 1.1.10 is released.
+        git+https://github.com/matrix-profile-foundation/matrixprofile.git@6bea7d4445284dbd9700a097974ef6d4613fbca7 \
+        tsfresh \
+        pykalman \
+        optuna \
+        plotly_express \
+        albumentations \
+        # b/254245259 catalyst requires accelerate but it breaks with the version 0.13.1
+        accelerate==0.12.0 \
+        catalyst \
+        # b/206990323 osmx 1.1.2 requires numpy >= 1.21 which we don't want.
+        osmnx==1.1.1 && \
     apt-get -y install libspatialindex-dev && \
-    pip install pytorch-ignite && \
-    pip install qgrid && \
-    pip install bqplot && \
-    pip install earthengine-api && \
-    pip install transformers && \
-    # b/232247930 >= 2.2.0 requires pyarrow >= 6.0.0 which conflicts with dependencies for rapidsai 0.21.*
-    pip install datasets==2.1.0 && \
-    pip install dlib && \
-    pip install kaggle-environments && \
-    pip install geopandas && \
-    pip install nnabla && \
-    pip install vowpalwabbit && \
-    pip install pydub && \
-    pip install pydegensac && \
-    pip install torchmetrics && \
-    pip install pytorch-lightning && \
-    pip install datatable && \
-    pip install sympy && \
-    # flask is used by agents in the simulation competitions.
-    pip install flask && \
-    # pycrypto is used by competitions team.
-    pip install pycrypto && \
-    pip install easyocr && \
-    # ipympl adds interactive widget support for matplotlib
-    pip install ipympl==0.7.0 && \
-    pip install pandarallel && \
-    pip install onnx && \
-    pip install tables && \
-    pip install openpyxl && \
-    pip install timm && \
-    pip install pycolmap && \
+    pip install pytorch-ignite \
+        qgrid \
+        bqplot \
+        earthengine-api \
+        transformers \
+        # b/232247930 >= 2.2.0 requires pyarrow >= 6.0.0 which conflicts with dependencies for rapidsai 0.21.*
+        datasets==2.1.0 \
+        dlib \
+        kaggle-environments \
+        geopandas \
+        nnabla \
+        vowpalwabbit \
+        pydub \
+        pydegensac \
+        torchmetrics \
+        pytorch-lightning \
+        datatable \
+        sympy \
+        # flask is used by agents in the simulation competitions.
+        flask \
+        # pycrypto is used by competitions team.
+        pycrypto \
+        easyocr \
+        # ipympl adds interactive widget support for matplotlib
+        ipympl==0.7.0 \
+        pandarallel \
+        onnx \
+        tables \
+        openpyxl \
+        timm \
+        pycolmap && \
     /tmp/clean-layer.sh
 
 # Download base easyocr models.
@@ -547,11 +547,11 @@ RUN mkdir -p /root/.EasyOCR/model && \
 
 # Tesseract and some associated utility packages
 RUN apt-get install tesseract-ocr -y && \
-    pip install pytesseract && \
-    pip install wand && \
-    pip install pdf2image && \
-    pip install PyPDF && \
-    pip install pyocr && \
+    pip install pytesseract \
+        wand \
+        pdf2image \
+        PyPDF \
+        pyocr && \
     /tmp/clean-layer.sh
 ENV TESSERACT_PATH=/usr/bin/tesseract
 

From 09c8ae2f3010355aebbb53c0825bfbfa0da62cfb Mon Sep 17 00:00:00 2001
From: Jirka Borovec <6035284+Borda@users.noreply.github.com>
Date: Wed, 25 Jan 2023 12:29:17 +0100
Subject: [PATCH 1303/1660] Apply suggestions from code review

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index eaa40689..4276a34c 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -171,7 +171,7 @@ RUN pip install pysal \
         seaborn python-dateutil dask python-igraph \
         pyyaml joblib husl geopy mne pyshp \
         pandas \
-        flax \
+        flax && \
     # Install h2o from source.
     # Use `conda install -c h2oai h2o` once Python 3.7 version is released to conda.
     apt-get install -y default-jre-headless && \

From 807356074cbd4d99cfde4b5229e6cd22b0ac8efb Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 25 Jan 2023 11:57:07 -0500
Subject: [PATCH 1304/1660] Revert to torch 1.10 to fix libtpu reaching to
 metadata server

The metadata server is unavailable in Kaggle, but the 1.13 version of libtpu requires it. We can upgrade again once libtpu is fixed.

http://b/266449694
---
 tpu/config.txt | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/tpu/config.txt b/tpu/config.txt
index 6299feca..e3c23898 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -1,10 +1,10 @@
 TENSORFLOW_VERSION=2.9.1
 JAX_VERSION=0.3.10
 # Supports nightly
-TORCH_VERSION=1.13.0
+TORCH_VERSION=1.10.0
 # https://github.com/pytorch/audio supports nightly
-TORCHAUDIO_VERSION=0.13.0
+TORCHAUDIO_VERSION=0.10.0
 # https://github.com/pytorch/text supports main
-TORCHTEXT_VERSION=0.14.0
+TORCHTEXT_VERSION=0.11.0
 # https://github.com/pytorch/vision supports nightly
-TORCHVISION_VERSION=0.14.0
\ No newline at end of file
+TORCHVISION_VERSION=0.11.1

From 03ff61e1f456e592ddbbcdeed0fce8ff26ddfd2d Mon Sep 17 00:00:00 2001
From: Jirka Borovec <6035284+Borda@users.noreply.github.com>
Date: Wed, 25 Jan 2023 17:59:39 +0100
Subject: [PATCH 1305/1660] Apply suggestions from code review

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 4276a34c..ef7d9395 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -184,7 +184,7 @@ RUN pip install pysal \
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
     # b/198300835 kornia 4.1.0 is not compatible with our version of numpy.
-    pip install gensim==4.0.1 && \
+    pip install gensim==4.0.1 \
         textblob \
         wordcloud \
         xgboost \

From ec4937ddaf296491430851b85c2e2b510f9b84e1 Mon Sep 17 00:00:00 2001
From: Jirka Borovec <6035284+Borda@users.noreply.github.com>
Date: Thu, 26 Jan 2023 16:02:14 +0100
Subject: [PATCH 1306/1660] Apply suggestions from code review

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index ef7d9395..c6c7a61d 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -357,7 +357,7 @@ RUN pip install tensorpack && \
     /tmp/clean-layer.sh
 
 # install cython & cysignals before pyfasttext
-RUN pip install cython && \
+RUN pip install cython \
         cysignals \
         pyfasttext \
         fasttext && \

From 0910998fc9696d4ab0f1e8e0989b6cd33523d541 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 30 Jan 2023 12:28:11 -0500
Subject: [PATCH 1307/1660] Disable rapidsai until compatible with tf
 cudatoolkit

---
 Dockerfile.tmpl | 9 +++++----
 1 file changed, 5 insertions(+), 4 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 08b517e1..f1aeec4d 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -89,10 +89,11 @@ RUN conda config --add channels nvidia && \
 {{ if eq .Accelerator "gpu" }}
 
 # b/232247930: uninstall pyarrow to avoid double installation with the GPU specific version.
-RUN pip uninstall -y pyarrow && \
-    mamba install -y cudf cuml && \
-    /tmp/clean-layer.sh
-{{ end }}
+# b/267180053: RapidsAI (cudf/cuml) are not compatible with the latest tensorflow cudatoolkit version.
+# RUN pip uninstall -y pyarrow && \
+#    mamba install -y cudf cuml && \
+#    /tmp/clean-layer.sh
+# {{ end }}
 
 # Install implicit
 {{ if eq .Accelerator "gpu" }}

From 902a5fff15ed45c913c125e1167148c59e7489cc Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 30 Jan 2023 13:43:49 -0500
Subject: [PATCH 1308/1660] Update Dockerfile.tmpl

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 549ad46e..e23d4e94 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -195,7 +195,7 @@ RUN pip install pysal \
     # Use `conda install -c h2oai h2o` once Python 3.7 version is released to conda.
     apt-get install -y default-jre-headless && \
     pip install -f https://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html h2o \
-        tensorflow-gcs-config==<=${TENSORFLOW_VERSION}" \
+        tensorflow-gcs-config<=${TENSORFLOW_VERSION} \
         tensorflow-addons==0.17.1 \
         tensorflow_decision_forests==0.2.7 && \
     /tmp/clean-layer.sh

From f9a5136e75b71b0c65cc74e3d01994e4c55cadca Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 30 Jan 2023 14:40:00 -0500
Subject: [PATCH 1309/1660] Update Dockerfile.tmpl

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index e23d4e94..c1c02bd7 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -195,7 +195,7 @@ RUN pip install pysal \
     # Use `conda install -c h2oai h2o` once Python 3.7 version is released to conda.
     apt-get install -y default-jre-headless && \
     pip install -f https://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html h2o \
-        tensorflow-gcs-config<=${TENSORFLOW_VERSION} \
+        "tensorflow-gcs-config<=${TENSORFLOW_VERSION}" \
         tensorflow-addons==0.17.1 \
         tensorflow_decision_forests==0.2.7 && \
     /tmp/clean-layer.sh

From 537bd6ec7d0b2022f59e9abfa4ce350f40a8b758 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 30 Jan 2023 16:42:46 -0500
Subject: [PATCH 1310/1660] Update config.txt

---
 config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/config.txt b/config.txt
index fab6002b..c8ca1257 100644
--- a/config.txt
+++ b/config.txt
@@ -1,5 +1,5 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
-BASE_IMAGE_TAG=m96
+BASE_IMAGE_TAG=m103
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-9
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-9
 LIGHTGBM_VERSION=3.3.2

From f52379a1f2c73738c211ea5190293dce4d62735b Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 31 Jan 2023 10:14:31 -0500
Subject: [PATCH 1311/1660] Fix gitextensions bug

---
 packages/torch.Dockerfile | 11 +++--------
 1 file changed, 3 insertions(+), 8 deletions(-)

diff --git a/packages/torch.Dockerfile b/packages/torch.Dockerfile
index a90ffd3a..635d8f9e 100644
--- a/packages/torch.Dockerfile
+++ b/packages/torch.Dockerfile
@@ -15,11 +15,6 @@ RUN test -n "$TORCHVISION_VERSION"
 # Use mamba to speed up conda installs
 RUN conda install -c conda-forge mamba
 
-# Install cudf/cuml so that cudatoolkit upgrades are included in the pytorch build
-RUN conda config --add channels nvidia && \
-    conda config --add channels rapidsai
-RUN mamba install -y cudf cuml
-
 # Build instructions: https://github.com/pytorch/pytorch#from-source
 RUN mamba install astunparse numpy ninja pyyaml mkl mkl-include setuptools cmake cffi typing_extensions future six requests dataclasses
 RUN mamba install -c pytorch magma-cuda${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION}
@@ -40,7 +35,7 @@ RUN cd /usr/local/src && \
     cd pytorch && \
     git checkout tags/v$PACKAGE_VERSION && \
     git submodule sync && \
-    git submodule update --init --recursive --jobs 0 && \
+    git submodule update --init --recursive --jobs 1 && \
     python setup.py bdist_wheel
 
 # Install torch which is required before we can build other torch* packages.
@@ -60,7 +55,7 @@ RUN sudo apt-get update && \
     cd audio && \
     git checkout tags/v$TORCHAUDIO_VERSION && \
     git submodule sync && \
-    git submodule update --init --recursive --jobs 0 && \
+    git submodule update --init --recursive --jobs 1 && \
     python setup.py bdist_wheel
 
 # Build torchtext
@@ -72,7 +67,7 @@ RUN cd /usr/local/src && \
     cd text && \
     git checkout tags/v$TORCHTEXT_VERSION && \
     git submodule sync && \
-    git submodule update --init --recursive --jobs 0 && \
+    git submodule update --init --recursive --jobs 1 && \
     python setup.py bdist_wheel
 
 # Build torchvision.

From d527f3e885ba25adee009bf405b6c0fc492a8d82 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Mon, 6 Feb 2023 18:59:37 +0000
Subject: [PATCH 1312/1660] try 2.11

---
 Dockerfile.tmpl | 2 +-
 config.txt      | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index c1c02bd7..e3bbdf81 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -34,7 +34,7 @@ RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/lib
 {{ end }}
 
 # Keep these variables in sync if base image is updated.
-ENV TENSORFLOW_VERSION=2.9.2
+ENV TENSORFLOW_VERSION=2.11.0
 
 # We need to redefine the ARG here to get the ARG value defined above the FROM instruction.
 # See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
diff --git a/config.txt b/config.txt
index c8ca1257..4fb11971 100644
--- a/config.txt
+++ b/config.txt
@@ -1,7 +1,7 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
 BASE_IMAGE_TAG=m103
-CPU_BASE_IMAGE_NAME=tf2-cpu.2-9
-GPU_BASE_IMAGE_NAME=tf2-gpu.2-9
+CPU_BASE_IMAGE_NAME=tf2-cpu.2-11
+GPU_BASE_IMAGE_NAME=tf2-gpu.2-11
 LIGHTGBM_VERSION=3.3.2
 TORCH_VERSION=1.12.0
 TORCHAUDIO_VERSION=0.12.0

From 3aee97700259732ed0f921fde047fedc0dde2acc Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 7 Feb 2023 12:58:39 -0500
Subject: [PATCH 1313/1660] Update config.txt

---
 config.txt | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/config.txt b/config.txt
index 4fb11971..fab6002b 100644
--- a/config.txt
+++ b/config.txt
@@ -1,7 +1,7 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
-BASE_IMAGE_TAG=m103
-CPU_BASE_IMAGE_NAME=tf2-cpu.2-11
-GPU_BASE_IMAGE_NAME=tf2-gpu.2-11
+BASE_IMAGE_TAG=m96
+CPU_BASE_IMAGE_NAME=tf2-cpu.2-9
+GPU_BASE_IMAGE_NAME=tf2-gpu.2-9
 LIGHTGBM_VERSION=3.3.2
 TORCH_VERSION=1.12.0
 TORCHAUDIO_VERSION=0.12.0

From 598205338884b322289a6e1eeffa54942f093dc3 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 7 Feb 2023 12:59:23 -0500
Subject: [PATCH 1314/1660] Update Dockerfile.tmpl

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index e3bbdf81..c1c02bd7 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -34,7 +34,7 @@ RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/lib
 {{ end }}
 
 # Keep these variables in sync if base image is updated.
-ENV TENSORFLOW_VERSION=2.11.0
+ENV TENSORFLOW_VERSION=2.9.2
 
 # We need to redefine the ARG here to get the ARG value defined above the FROM instruction.
 # See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact

From c654412d44af23bd119904f43a6e730c6ef03b08 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 8 Feb 2023 14:00:55 -0500
Subject: [PATCH 1315/1660] Update Dockerfile.tmpl

---
 Dockerfile.tmpl | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index c1c02bd7..82ff1cff 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -623,6 +623,9 @@ RUN jupyter-nbextension disable nb_conda --py --sys-prefix && \
     jupyter-serverextension disable nb_conda --py --sys-prefix && \
     python -m nb_conda_kernels.install --disable
 
+# Force only one libcusolver
+RUN rm /opt/conda/bin/../lib/libcusolver.so.11 && ln -s /usr/local/cuda/lib64/libcusolver.so.11 /opt/conda/bin/../lib/libcusolver.so.11
+
 # Set backend for matplotlib
 ENV MPLBACKEND "agg"
 

From 8f810aff0ffa0ad9e2fe8f7fcb4fb9856ed5b1c9 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Wed, 8 Feb 2023 20:26:50 +0000
Subject: [PATCH 1316/1660] remove test_repids.py

---
 tests/test_rapids.py | 22 ----------------------
 1 file changed, 22 deletions(-)
 delete mode 100644 tests/test_rapids.py

diff --git a/tests/test_rapids.py b/tests/test_rapids.py
deleted file mode 100644
index 3b7239dd..00000000
--- a/tests/test_rapids.py
+++ /dev/null
@@ -1,22 +0,0 @@
-import unittest
-
-from common import gpu_test
-
-
-class TestRapids(unittest.TestCase):
-    @gpu_test
-    def test_dbscan(self):
-        import cudf
-        from cuml.cluster import DBSCAN
-
-        # Create and populate a GPU DataFrame
-        gdf_float = cudf.DataFrame()
-        gdf_float['0'] = [1.0, 2.0, 5.0]
-        gdf_float['1'] = [4.0, 2.0, 1.0]
-        gdf_float['2'] = [4.0, 2.0, 1.0]
-
-        # Setup and fit clusters
-        dbscan_float = DBSCAN(eps=1.0, min_samples=1)
-        dbscan_float.fit(gdf_float)
-
-        self.assertEqual(3, dbscan_float.labels_.size)

From 3ff001730f67c3931d6bc731f8a8641c1ee2e6df Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 9 Feb 2023 08:26:59 -0800
Subject: [PATCH 1317/1660] Add Kaggle Resolver (#1213)

http://b/268256777
---
 Dockerfile.tmpl                               |   5 ++
 patches/kaggle_module_resolver.py             |  25 +++++++
 test                                          |   2 +
 tests/data/model.tar.gz                       | Bin 0 -> 8586 bytes
 tests/data/saved_model/keras_metadata.pb      |   5 ++
 tests/data/saved_model/saved_model.pb         | Bin 0 -> 44640 bytes
 .../variables/variables.data-00000-of-00001   | Bin 0 -> 2254 bytes
 .../saved_model/variables/variables.index     | Bin 0 -> 895 bytes
 tests/test_kaggle_module_resolver.py          |  65 ++++++++++++++++++
 9 files changed, 102 insertions(+)
 create mode 100644 patches/kaggle_module_resolver.py
 create mode 100644 tests/data/model.tar.gz
 create mode 100644 tests/data/saved_model/keras_metadata.pb
 create mode 100644 tests/data/saved_model/saved_model.pb
 create mode 100644 tests/data/saved_model/variables/variables.data-00000-of-00001
 create mode 100644 tests/data/saved_model/variables/variables.index
 create mode 100644 tests/test_kaggle_module_resolver.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 82ff1cff..8ba900be 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -609,6 +609,11 @@ ADD patches/sitecustomize.py /root/.local/lib/python3.7/site-packages/sitecustom
 # Override default imagemagick policies
 ADD patches/imagemagick-policy.xml /etc/ImageMagick-6/policy.xml
 
+# Add Kaggle module resolver
+ADD patches/kaggle_module_resolver.py /opt/conda/lib/python3.7/site-packages/tensorflow_hub/kaggle_module_resolver.py
+RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /opt/conda/lib/python3.7/site-packages/tensorflow_hub/config.py && \
+    sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' /opt/conda/lib/python3.7/site-packages/tensorflow_hub/config.py
+
 # TensorBoard Jupyter extension. Should be replaced with TensorBoard's provided magic once we have
 # worker tunneling support in place.
 # b/139212522 re-enable TensorBoard once solution for slowdown is implemented.
diff --git a/patches/kaggle_module_resolver.py b/patches/kaggle_module_resolver.py
new file mode 100644
index 00000000..9fe536e8
--- /dev/null
+++ b/patches/kaggle_module_resolver.py
@@ -0,0 +1,25 @@
+import os
+import re
+
+from tensorflow_hub import resolver
+
+url_pattern = re.compile(r"https?://([a-z]+\.)?kaggle.com/models/[^\\/]+/(?P<model>[^\\/]+)/frameworks/(?P<framework>[^\\/]+)/variations/(?P<variation>[^\\/]+)/versions/(?P<version>[0-9]+)$")
+
+def _is_on_kaggle_notebook():
+    return os.getenv("KAGGLE_CONTAINER_NAME") != None
+
+def _is_kaggle_handle(handle):
+    return url_pattern.match(handle) != None
+
+class KaggleFileResolver(resolver.HttpResolverBase):
+    def is_supported(self, handle):
+        return _is_on_kaggle_notebook() and _is_kaggle_handle(handle)    
+    
+    def __call__(self, handle):
+        m = url_pattern.match(handle)
+        local_path = f"/kaggle/input/{m.group('model')}/{m.group('framework').lower()}/{m.group('variation')}/{m.group('version')}"
+        if not os.path.exists(local_path):
+            # TODO(b/268256777) Attach model & wait until ready instead.
+            raise RuntimeError(f"You have to attach the '{handle}' model to your Kaggle notebook.")
+        
+        return local_path
diff --git a/test b/test
index e43387b9..9ad3d581 100755
--- a/test
+++ b/test
@@ -74,6 +74,7 @@ docker rm jupyter_test || true
 mkdir -p /tmp/python-build/tmp
 mkdir -p /tmp/python-build/devshm
 mkdir -p /tmp/python-build/working
+mkdir -p /tmp/python-build/kaggle
 
 # Only run Jupyter server test if no specific test pattern is specified.
 if [ $PATTERN == 'test*.py' ]; then
@@ -108,6 +109,7 @@ docker run --rm -t --read-only --net=none \
     --shm-size=2g \
     -v $PWD:/input:ro -v /tmp/python-build/working:/working \
     -v /tmp/python-build/tmp:/tmp -v /tmp/python-build/devshm:/dev/shm \
+    -v /tmp/python-build/kaggle:/kaggle \
     -w=/working \
     $ADDITONAL_OPTS \
     "$IMAGE_TAG" \
diff --git a/tests/data/model.tar.gz b/tests/data/model.tar.gz
new file mode 100644
index 0000000000000000000000000000000000000000..620fdd4c08f439b6df72717bbbad604733faa98b
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diff --git a/tests/data/saved_model/keras_metadata.pb b/tests/data/saved_model/keras_metadata.pb
new file mode 100644
index 00000000..4b16df7f
--- /dev/null
+++ b/tests/data/saved_model/keras_metadata.pb
@@ -0,0 +1,5 @@
+
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diff --git a/tests/test_kaggle_module_resolver.py b/tests/test_kaggle_module_resolver.py
new file mode 100644
index 00000000..ece5a670
--- /dev/null
+++ b/tests/test_kaggle_module_resolver.py
@@ -0,0 +1,65 @@
+import unittest
+
+import os
+import threading
+
+import tensorflow as tf
+import tensorflow_hub as hub
+
+from http.server import BaseHTTPRequestHandler, HTTPServer
+from test.support import EnvironmentVarGuard
+
+
+class TestKaggleModuleResolver(unittest.TestCase):
+    class HubHTTPHandler(BaseHTTPRequestHandler):
+        def do_GET(self):
+            self.send_response(200)
+            self.send_header('Content-Type', 'application/gzip')
+            self.end_headers()
+
+            with open('/input/tests/data/model.tar.gz', 'rb') as model_archive:
+                self.wfile.write(model_archive.read())
+
+    def _test_client(self, client_func, handler):
+        with HTTPServer(('localhost', 8080), handler) as test_server:
+            threading.Thread(target=test_server.serve_forever).start()
+
+            try:
+                client_func()            
+            finally:
+                test_server.shutdown()
+
+    def test_kaggle_resolver_succeeds(self):
+        # Simulates we are inside a Kaggle environment.
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_CONTAINER_NAME', 'foo')
+        # Attach model to right directory.
+        os.makedirs('/kaggle/input/foomodule/tensorflow2/barvar')
+        os.symlink('/input/tests/data/saved_model/', '/kaggle/input/foomodule/tensorflow2/barvar/2', target_is_directory=True)
+
+        with env:
+            test_inputs = tf.ones([1,4])
+            layer = hub.KerasLayer("https://kaggle.com/models/foo/foomodule/frameworks/TensorFlow2/variations/barvar/versions/2")
+            self.assertEqual([1, 1], layer(test_inputs).shape)
+
+    def test_kaggle_resolver_not_attached_throws(self):
+        # Simulates we are inside a Kaggle environment.
+        env = EnvironmentVarGuard()
+        env.set('KAGGLE_CONTAINER_NAME', 'foo')
+        with env:
+            with self.assertRaisesRegex(RuntimeError, '.*attach.*'):
+                hub.KerasLayer("https://kaggle.com/models/foo/foomodule/frameworks/TensorFlow2/variations/barvar/versions/2")
+
+    def test_http_resolver_succeeds(self):
+        def call_hub():
+            test_inputs = tf.ones([1,4])
+            layer = hub.KerasLayer('http://localhost:8080/model.tar.gz')
+            self.assertEqual([1, 1], layer(test_inputs).shape)
+
+        self._test_client(call_hub, TestKaggleModuleResolver.HubHTTPHandler)
+
+    def test_local_path_resolver_succeeds(self):
+        test_inputs = tf.ones([1,4])
+        layer = hub.KerasLayer('/input/tests/data/saved_model')
+        
+        self.assertEqual([1, 1], layer(test_inputs).shape)

From 94eada8c82a93e7f337f6b0f9d40675ebcd54e82 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 9 Feb 2023 10:23:58 -0800
Subject: [PATCH 1318/1660] Add tensorflow_text package (#1214)

http://b/267320648
---
 Dockerfile.tmpl               |  3 ++-
 tests/test_tensorflow_text.py | 12 ++++++++++++
 2 files changed, 14 insertions(+), 1 deletion(-)
 create mode 100644 tests/test_tensorflow_text.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 8ba900be..61b3fbba 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -197,7 +197,8 @@ RUN pip install pysal \
     pip install -f https://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html h2o \
         "tensorflow-gcs-config<=${TENSORFLOW_VERSION}" \
         tensorflow-addons==0.17.1 \
-        tensorflow_decision_forests==0.2.7 && \
+        tensorflow_decision_forests==0.2.7 \
+        tensorflow_text==2.9.0 && \
     /tmp/clean-layer.sh
 
 RUN apt-get install -y libfreetype6-dev && \
diff --git a/tests/test_tensorflow_text.py b/tests/test_tensorflow_text.py
new file mode 100644
index 00000000..5e801688
--- /dev/null
+++ b/tests/test_tensorflow_text.py
@@ -0,0 +1,12 @@
+import unittest
+
+import tensorflow_text as tf_text
+
+
+class TestTensorflowText(unittest.TestCase):
+    def test_tokenizer(self):
+        word_tokenizer = tf_text.WhitespaceTokenizer()
+
+        tokens = word_tokenizer.tokenize("I love Kaggle!")
+
+        self.assertEqual((3,), tokens.shape)

From 9fc103b7328adfc694f72f25477b16e5499f3bd2 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Thu, 9 Feb 2023 18:26:06 +0000
Subject: [PATCH 1319/1660] Upgrade to Tensorflow 2.11

http://b/268473381
---
 Dockerfile.tmpl | 65 +++++++++++++++++++++++++------------------------
 config.txt      |  6 ++---
 2 files changed, 36 insertions(+), 35 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 82ff1cff..232c82b5 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -10,7 +10,7 @@ ARG TORCHVISION_VERSION
 
 {{ if eq .Accelerator "gpu" }}
 FROM gcr.io/kaggle-images/python-lightgbm-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${LIGHTGBM_VERSION} AS lightgbm_whl
-FROM gcr.io/kaggle-images/python-torch-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${TORCH_VERSION} AS torch_whl
+#FROM gcr.io/kaggle-images/python-torch-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${TORCH_VERSION} AS torch_whl
 FROM ${BASE_IMAGE_REPO}/${GPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
 {{ else }}
 FROM ${BASE_IMAGE_REPO}/${CPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
@@ -34,7 +34,7 @@ RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/lib
 {{ end }}
 
 # Keep these variables in sync if base image is updated.
-ENV TENSORFLOW_VERSION=2.9.2
+ENV TENSORFLOW_VERSION=2.11.0
 
 # We need to redefine the ARG here to get the ARG value defined above the FROM instruction.
 # See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
@@ -93,11 +93,10 @@ RUN conda config --add channels nvidia && \
 {{ if eq .Accelerator "gpu" }}
 
 # b/232247930: uninstall pyarrow to avoid double installation with the GPU specific version.
-# b/267180053: RapidsAI (cudf/cuml) are not compatible with the latest tensorflow cudatoolkit version.
-# RUN pip uninstall -y pyarrow && \
-#    mamba install -y cudf cuml && \
-#    /tmp/clean-layer.sh
-# {{ end }}
+RUN pip uninstall -y pyarrow && \
+    mamba install -y cudf cuml && \
+    /tmp/clean-layer.sh
+{{ end }}
 
 # Install implicit
 {{ if eq .Accelerator "gpu" }}
@@ -110,17 +109,17 @@ RUN mamba install implicit && \
 
 # Install PyTorch
 {{ if eq .Accelerator "gpu" }}
-COPY --from=torch_whl /tmp/whl/*.whl /tmp/torch/
+#COPY --from=torch_whl /tmp/whl/*.whl /tmp/torch/
 RUN mamba install -c pytorch magma-cuda${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION} && \
-    pip install /tmp/torch/*.whl && \
+    #pip install /tmp/torch/*.whl && \
     # b/255757999 openmp (libomp.so) is an dependency of libtorchtext and libtorchaudio but
     # the built from source versions don't seem to properly link it in. This forces the dep
     # which makes sure that libomp is loaded when these libraries are loaded.
-    mamba install -y openmp && \
-    pip install patchelf && \
-    patchelf --add-needed libomp.so /opt/conda/lib/python3.7/site-packages/torchtext/lib/libtorchtext.so && \
-    patchelf --add-needed libomp.so /opt/conda/lib/python3.7/site-packages/torchaudio/lib/libtorchaudio.so && \
-    rm -rf /tmp/torch && \
+    pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu113 && \
+    #pip install patchelf && \
+    #patchelf --add-needed libomp.so /opt/conda/lib/python3.7/site-packages/torchtext/lib/libtorchtext.so && \
+    #patchelf --add-needed libomp.so /opt/conda/lib/python3.7/site-packages/torchaudio/lib/libtorchaudio.so && \
+    #rm -rf /tmp/torch && \
     /tmp/clean-layer.sh
 {{ else }}
 RUN pip install \
@@ -376,22 +375,24 @@ RUN pip install tensorpack && \
     /tmp/clean-layer.sh
 
 # install cython & cysignals before pyfasttext
+RUN rm /opt/conda/lib/python3.7/site-packages/*/direct_url.json
 RUN pip install cython \
         cysignals \
         pyfasttext \
         fasttext && \
-    apt-get install -y libhunspell-dev && pip install hunspell && \
-    pip install annoy \
-        category_encoders \
+    apt-get install -y libhunspell-dev && pip install hunspell
+RUN pip install annoy \
+        category_encoders && \
+        # These should already be installed?
         # google-cloud-automl 2.0.0 introduced incompatible API changes, need to pin to 1.0.1
-        google-cloud-automl==1.0.1 \
-        google-api-core==1.33.2 \
-        google-cloud-bigquery==2.2.0 \
-        google-cloud-storage \
-        google-cloud-translate==3.* \
-        google-cloud-language==2.* \
-        google-cloud-videointelligence==2.* \
-        google-cloud-vision==2.* && \
+        #google-cloud-automl==1.0.1 \
+        #google-api-core==1.33.2 \
+        #google-cloud-bigquery==2.2.0 \
+        #google-cloud-storage \
+        #google-cloud-translate==3.* \
+        #google-cloud-language==2.* \
+        #google-cloud-videointelligence==2.* \
+        #google-cloud-vision==2.* && \
     # b/183041606#comment5: the Kaggle data proxy doesn't support these APIs. If the library is missing, it falls back to using a regular BigQuery query to fetch data.
     pip uninstall -y google-cloud-bigquery-storage && \
     # After launch this should be installed from pip
@@ -414,6 +415,7 @@ RUN pip install cython \
 
 
 # Fix qgrid by pinning ipywidgets https://github.com/quantopian/qgrid/issues/376
+#        allennlp \
 RUN pip install bleach \
         certifi \
         cycler \
@@ -466,11 +468,10 @@ RUN pip install bleach \
         pyarrow \
         feather-format \
         fastai \
-        allennlp \
-        importlib-metadata && \
-    python -m spacy download en_core_web_sm && python -m spacy download en_core_web_lg && \
-    apt-get install -y ffmpeg && \
-    /tmp/clean-layer.sh
+        importlib-metadata
+#RUN python -m spacy download en_core_web_sm && python -m spacy download en_core_web_lg && \
+#    apt-get install -y ffmpeg && \
+#    /tmp/clean-layer.sh
 
     ###########
     #
@@ -495,7 +496,7 @@ RUN pip install flashtext \
         pympler \
         s3fs \
         featuretools \
-        -e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper \
+        #-e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper \
         hpsklearn \
         git+https://github.com/Kaggle/learntools \
         kmapper \
@@ -526,7 +527,7 @@ RUN pip install flashtext \
     pip install pytorch-ignite \
         qgrid \
         bqplot \
-        earthengine-api \
+        #earthengine-api \
         transformers \
         # b/232247930 >= 2.2.0 requires pyarrow >= 6.0.0 which conflicts with dependencies for rapidsai 0.21.*
         datasets==2.1.0 \
diff --git a/config.txt b/config.txt
index fab6002b..4fb11971 100644
--- a/config.txt
+++ b/config.txt
@@ -1,7 +1,7 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
-BASE_IMAGE_TAG=m96
-CPU_BASE_IMAGE_NAME=tf2-cpu.2-9
-GPU_BASE_IMAGE_NAME=tf2-gpu.2-9
+BASE_IMAGE_TAG=m103
+CPU_BASE_IMAGE_NAME=tf2-cpu.2-11
+GPU_BASE_IMAGE_NAME=tf2-gpu.2-11
 LIGHTGBM_VERSION=3.3.2
 TORCH_VERSION=1.12.0
 TORCHAUDIO_VERSION=0.12.0

From b1d1573d240bed98e5d3c35f34d765bdee1554f0 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 9 Feb 2023 13:41:38 -0800
Subject: [PATCH 1320/1660] Increase timeout for P100 tests. (#1217)

Tests run fine in 155s when I kick them off manually from a `linux-gpu-*` test worker. Pulling the image + waiting for a GPU worker sometimes takes more time.
---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 92b1b85d..ceb48a2f 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -130,7 +130,7 @@ pipeline {
                 stage('Test on P100') {
                   agent { label 'ephemeral-linux-gpu' }
                   options {
-                    timeout(time: 20, unit: 'MINUTES')
+                    timeout(time: 30, unit: 'MINUTES')
                   }
                   steps {
                     sh '''#!/bin/bash

From 3caaa3c0de8096b496935733e32e29d50847133d Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Thu, 9 Feb 2023 21:44:37 +0000
Subject: [PATCH 1321/1660] remove torch since its installed via pip

---
 Jenkinsfile | 21 ---------------------
 1 file changed, 21 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 92b1b85d..cb63d9ee 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -22,27 +22,6 @@ pipeline {
   stages {
     stage('Pre-build Packages from Source') {
       parallel {
-        stage('torch') {
-          options {
-            timeout(time: 180, unit: 'MINUTES')
-          }
-          steps {
-            sh '''#!/bin/bash
-              set -exo pipefail
-              source config.txt
-              cd packages/
-              ./build_package --base-image $BASE_IMAGE_REPO/$GPU_BASE_IMAGE_NAME:$BASE_IMAGE_TAG \
-                --package torch \
-                --version $TORCH_VERSION \
-                --build-arg TORCHAUDIO_VERSION=$TORCHAUDIO_VERSION \
-                --build-arg TORCHTEXT_VERSION=$TORCHTEXT_VERSION \
-                --build-arg TORCHVISION_VERSION=$TORCHVISION_VERSION \
-                --build-arg CUDA_MAJOR_VERSION=$CUDA_MAJOR_VERSION \
-                --build-arg CUDA_MINOR_VERSION=$CUDA_MINOR_VERSION \
-                --push
-            '''
-          }
-        }
         stage('lightgbm') {
           options {
             timeout(time: 10, unit: 'MINUTES')

From 8aa8c0ddc62922e017a2f136f74fd08571ecf3ea Mon Sep 17 00:00:00 2001
From: Marco Edward Gorelli <33491632+MarcoGorelli@users.noreply.github.com>
Date: Thu, 9 Feb 2023 17:39:27 +0000
Subject: [PATCH 1322/1660] Add polars

https://www.pola.rs/

This one's well good, and is growing in popularity
---
 Dockerfile.tmpl      |  1 +
 tests/test_polars.py | 10 ++++++++++
 2 files changed, 11 insertions(+)
 create mode 100644 tests/test_polars.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 61b3fbba..714d73a4 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -190,6 +190,7 @@ RUN pip install pysal \
         seaborn python-dateutil dask python-igraph \
         pyyaml joblib husl geopy mne pyshp \
         pandas \
+        polars \
         flax && \
     # Install h2o from source.
     # Use `conda install -c h2oai h2o` once Python 3.7 version is released to conda.
diff --git a/tests/test_polars.py b/tests/test_polars.py
new file mode 100644
index 00000000..c81a0b80
--- /dev/null
+++ b/tests/test_polars.py
@@ -0,0 +1,10 @@
+import unittest
+
+import polars as pl
+
+class TestPolars(unittest.TestCase):    
+    def test_read_csv(self):
+        data = pl.read_csv("/input/tests/data/train.csv")
+
+        self.assertEqual(100, len(data))
+

From cd8b8089e9af9414b74dbfc459b3e9abf6ec913c Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Mon, 13 Feb 2023 21:30:52 +0000
Subject: [PATCH 1323/1660] get cpu tests passing

---
 Dockerfile.tmpl         | 46 ++++++++++++++++++++++++-----------------
 tests/test_geopandas.py |  3 ++-
 2 files changed, 29 insertions(+), 20 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 232c82b5..2db818b8 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -115,7 +115,7 @@ RUN mamba install -c pytorch magma-cuda${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION
     # b/255757999 openmp (libomp.so) is an dependency of libtorchtext and libtorchaudio but
     # the built from source versions don't seem to properly link it in. This forces the dep
     # which makes sure that libomp is loaded when these libraries are loaded.
-    pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 torchaudio==0.12.1 --extra-index-url https://download.pytorch.org/whl/cu113 && \
+    pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 torchaudio==0.12.1 torchtext==0.13.0 --extra-index-url https://download.pytorch.org/whl/cu113 && \
     #pip install patchelf && \
     #patchelf --add-needed libomp.so /opt/conda/lib/python3.7/site-packages/torchtext/lib/libtorchtext.so && \
     #patchelf --add-needed libomp.so /opt/conda/lib/python3.7/site-packages/torchaudio/lib/libtorchaudio.so && \
@@ -195,8 +195,9 @@ RUN pip install pysal \
     apt-get install -y default-jre-headless && \
     pip install -f https://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html h2o \
         "tensorflow-gcs-config<=${TENSORFLOW_VERSION}" \
-        tensorflow-addons==0.17.1 \
-        tensorflow_decision_forests==0.2.7 && \
+        "tensorflow==${TENSORFLOW_VERSION}" \
+        tensorflow-addons \
+        tensorflow_decision_forests && \
     /tmp/clean-layer.sh
 
 RUN apt-get install -y libfreetype6-dev && \
@@ -374,8 +375,23 @@ RUN pip install tensorpack && \
         memory_profiler && \
     /tmp/clean-layer.sh
 
+
+
+
+# Remove files that can't be uninstalled normally:
+RUN rm /opt/conda/lib/python3.7/site-packages/google*/REQUESTED
+RUN rm /opt/conda/lib/python3.7/site-packages/google*/direct_url.json
+# google-cloud-automl 2.0.0 introduced incompatible API changes, need to pin to 1.0.1
+RUN pip install google-cloud-automl==1.0.1 \
+        google-api-core==1.33.2 \
+        google-cloud-bigquery==2.2.0 \
+        google-cloud-storage \
+        google-cloud-translate==3.* \
+        google-cloud-language==2.* \
+        google-cloud-videointelligence==2.* \
+        google-cloud-vision==2.* \
+        pip install protobuf==3.20.3
 # install cython & cysignals before pyfasttext
-RUN rm /opt/conda/lib/python3.7/site-packages/*/direct_url.json
 RUN pip install cython \
         cysignals \
         pyfasttext \
@@ -383,16 +399,6 @@ RUN pip install cython \
     apt-get install -y libhunspell-dev && pip install hunspell
 RUN pip install annoy \
         category_encoders && \
-        # These should already be installed?
-        # google-cloud-automl 2.0.0 introduced incompatible API changes, need to pin to 1.0.1
-        #google-cloud-automl==1.0.1 \
-        #google-api-core==1.33.2 \
-        #google-cloud-bigquery==2.2.0 \
-        #google-cloud-storage \
-        #google-cloud-translate==3.* \
-        #google-cloud-language==2.* \
-        #google-cloud-videointelligence==2.* \
-        #google-cloud-vision==2.* && \
     # b/183041606#comment5: the Kaggle data proxy doesn't support these APIs. If the library is missing, it falls back to using a regular BigQuery query to fetch data.
     pip uninstall -y google-cloud-bigquery-storage && \
     # After launch this should be installed from pip
@@ -469,9 +475,9 @@ RUN pip install bleach \
         feather-format \
         fastai \
         importlib-metadata
-#RUN python -m spacy download en_core_web_sm && python -m spacy download en_core_web_lg && \
-#    apt-get install -y ffmpeg && \
-#    /tmp/clean-layer.sh
+RUN python -m spacy download en_core_web_sm && python -m spacy download en_core_web_lg && \
+    apt-get install -y ffmpeg && \
+    /tmp/clean-layer.sh
 
     ###########
     #
@@ -496,7 +502,7 @@ RUN pip install flashtext \
         pympler \
         s3fs \
         featuretools \
-        #-e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper \
+        -e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper \
         hpsklearn \
         git+https://github.com/Kaggle/learntools \
         kmapper \
@@ -527,7 +533,7 @@ RUN pip install flashtext \
     pip install pytorch-ignite \
         qgrid \
         bqplot \
-        #earthengine-api \
+        earthengine-api \
         transformers \
         # b/232247930 >= 2.2.0 requires pyarrow >= 6.0.0 which conflicts with dependencies for rapidsai 0.21.*
         datasets==2.1.0 \
@@ -544,6 +550,8 @@ RUN pip install flashtext \
         flask \
         # pycrypto is used by competitions team.
         pycrypto \
+        # https://github.com/pycrypto/pycrypto/issues/327
+        'setuptools<58' \
         easyocr \
         # ipympl adds interactive widget support for matplotlib
         ipympl==0.7.0 \
diff --git a/tests/test_geopandas.py b/tests/test_geopandas.py
index e2bb4583..9b798827 100644
--- a/tests/test_geopandas.py
+++ b/tests/test_geopandas.py
@@ -13,4 +13,5 @@ def test_spatial_join(self):
         countries = world[['geometry', 'name']]
         countries = countries.rename(columns={'name':'country'})
         cities_with_country = geopandas.sjoin(cities, countries, how="inner", op='intersects')
-        self.assertTrue(cities_with_country.size > 1)
\ No newline at end of file
+        # naturalearth_lowres is missing all polygons so its always empty intersection...
+        #self.assertTrue(cities_with_country.size > 1)
\ No newline at end of file

From 52c194b9b2babf73d61348a0cb9cb3405e2007ab Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Tue, 14 Feb 2023 17:09:47 +0000
Subject: [PATCH 1324/1660] fix pytorch install and protobuf

---
 Dockerfile.tmpl | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 2db818b8..bb86b7e3 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -115,7 +115,7 @@ RUN mamba install -c pytorch magma-cuda${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION
     # b/255757999 openmp (libomp.so) is an dependency of libtorchtext and libtorchaudio but
     # the built from source versions don't seem to properly link it in. This forces the dep
     # which makes sure that libomp is loaded when these libraries are loaded.
-    pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 torchaudio==0.12.1 torchtext==0.13.0 --extra-index-url https://download.pytorch.org/whl/cu113 && \
+    mamba install pytorch==1.12.0 torchvision==0.13.0 torchaudio==0.12.0 torchtext cudatoolkit=11.3 -c pytorch && \
     #pip install patchelf && \
     #patchelf --add-needed libomp.so /opt/conda/lib/python3.7/site-packages/torchtext/lib/libtorchtext.so && \
     #patchelf --add-needed libomp.so /opt/conda/lib/python3.7/site-packages/torchaudio/lib/libtorchaudio.so && \
@@ -390,7 +390,7 @@ RUN pip install google-cloud-automl==1.0.1 \
         google-cloud-language==2.* \
         google-cloud-videointelligence==2.* \
         google-cloud-vision==2.* \
-        pip install protobuf==3.20.3
+        protobuf==3.20.3
 # install cython & cysignals before pyfasttext
 RUN pip install cython \
         cysignals \

From b33cb0e030989c6a99d831f0fae09af7f5dbe641 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Tue, 14 Feb 2023 20:59:10 +0000
Subject: [PATCH 1325/1660] fix cpu tests

---
 Dockerfile.tmpl | 32 ++++++++++++++++----------------
 1 file changed, 16 insertions(+), 16 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index bb86b7e3..ddfe7d74 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -381,16 +381,6 @@ RUN pip install tensorpack && \
 # Remove files that can't be uninstalled normally:
 RUN rm /opt/conda/lib/python3.7/site-packages/google*/REQUESTED
 RUN rm /opt/conda/lib/python3.7/site-packages/google*/direct_url.json
-# google-cloud-automl 2.0.0 introduced incompatible API changes, need to pin to 1.0.1
-RUN pip install google-cloud-automl==1.0.1 \
-        google-api-core==1.33.2 \
-        google-cloud-bigquery==2.2.0 \
-        google-cloud-storage \
-        google-cloud-translate==3.* \
-        google-cloud-language==2.* \
-        google-cloud-videointelligence==2.* \
-        google-cloud-vision==2.* \
-        protobuf==3.20.3
 # install cython & cysignals before pyfasttext
 RUN pip install cython \
         cysignals \
@@ -401,8 +391,18 @@ RUN pip install annoy \
         category_encoders && \
     # b/183041606#comment5: the Kaggle data proxy doesn't support these APIs. If the library is missing, it falls back to using a regular BigQuery query to fetch data.
     pip uninstall -y google-cloud-bigquery-storage && \
+    # google-cloud-automl 2.0.0 introduced incompatible API changes, need to pin to 1.0.1
     # After launch this should be installed from pip
     pip install git+https://github.com/googleapis/python-aiplatform.git@mb-release \
+        google-cloud-automl==1.0.1 \
+        google-api-core==1.33.2 \
+        google-cloud-bigquery==2.2.0 \
+        google-cloud-storage \
+        google-cloud-translate==3.* \
+        google-cloud-language==2.* \
+        google-cloud-videointelligence==2.* \
+        google-cloud-vision==2.* \
+        protobuf==3.20.3 \
         ortools \
         scattertext \
         # Pandas data reader
@@ -502,7 +502,7 @@ RUN pip install flashtext \
         pympler \
         s3fs \
         featuretools \
-        -e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper \
+        #-e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper \
         hpsklearn \
         git+https://github.com/Kaggle/learntools \
         kmapper \
@@ -529,8 +529,8 @@ RUN pip install flashtext \
         catalyst \
         # b/206990323 osmx 1.1.2 requires numpy >= 1.21 which we don't want.
         osmnx==1.1.1 && \
-    apt-get -y install libspatialindex-dev && \
-    pip install pytorch-ignite \
+    apt-get -y install libspatialindex-dev
+RUN pip install pytorch-ignite \
         qgrid \
         bqplot \
         earthengine-api \
@@ -549,9 +549,7 @@ RUN pip install flashtext \
         # flask is used by agents in the simulation competitions.
         flask \
         # pycrypto is used by competitions team.
-        pycrypto \
-        # https://github.com/pycrypto/pycrypto/issues/327
-        'setuptools<58' \
+        pycryptodome \
         easyocr \
         # ipympl adds interactive widget support for matplotlib
         ipympl==0.7.0 \
@@ -606,6 +604,8 @@ RUN pip install --upgrade dask && \
     ln -sf /usr/lib/x86_64-linux-gnu/libpixman-1.so.0.34.0 /opt/conda/lib/libpixman-1.so.0.38.0 && \
     /tmp/clean-layer.sh
 
+RUN pip install setuptools==59.8.0 && pip install -e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper
+
 # Add BigQuery client proxy settings
 ENV PYTHONUSERBASE "/root/.local"
 ADD patches/kaggle_gcp.py /root/.local/lib/python3.7/site-packages/kaggle_gcp.py

From f82ef6ccbace9fc5c5cf422a1d07f0d82115d0f6 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Wed, 15 Feb 2023 22:08:29 +0000
Subject: [PATCH 1326/1660] nnabla causes protobuf compat issues

---
 Dockerfile.tmpl | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index d5d278c8..03624b76 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -180,8 +180,7 @@ RUN pip install spacy && \
 # No specific package for nnabla-ext-cuda 11.x minor versions.
 RUN pip install pycuda \
         pynvrtc \
-        pynvml \
-        nnabla-ext-cuda${CUDA_MAJOR_VERSION}0 && \
+        pynvml && \
     /tmp/clean-layer.sh
 {{ end }}
 

From fa2878c6e4c227b65151bd0685e314d6168b6ee6 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Thu, 16 Feb 2023 20:46:06 +0000
Subject: [PATCH 1327/1660] fix pytorch build

---
 Dockerfile.tmpl           | 10 ++++------
 Jenkinsfile               | 21 +++++++++++++++++++++
 config.txt                |  8 ++++----
 packages/torch.Dockerfile |  6 ++++--
 4 files changed, 33 insertions(+), 12 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 03624b76..456160df 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -10,7 +10,7 @@ ARG TORCHVISION_VERSION
 
 {{ if eq .Accelerator "gpu" }}
 FROM gcr.io/kaggle-images/python-lightgbm-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${LIGHTGBM_VERSION} AS lightgbm_whl
-#FROM gcr.io/kaggle-images/python-torch-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${TORCH_VERSION} AS torch_whl
+FROM gcr.io/kaggle-images/python-torch-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${TORCH_VERSION} AS torch_whl
 FROM ${BASE_IMAGE_REPO}/${GPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
 {{ else }}
 FROM ${BASE_IMAGE_REPO}/${CPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
@@ -111,15 +111,13 @@ RUN mamba install implicit && \
 {{ if eq .Accelerator "gpu" }}
 #COPY --from=torch_whl /tmp/whl/*.whl /tmp/torch/
 RUN mamba install -c pytorch magma-cuda${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION} && \
-    #pip install /tmp/torch/*.whl && \
+    pip install /tmp/torch/*.whl && \
     # b/255757999 openmp (libomp.so) is an dependency of libtorchtext and libtorchaudio but
-    # the built from source versions don't seem to properly link it in. This forces the dep
-    # which makes sure that libomp is loaded when these libraries are loaded.
-    mamba install pytorch==1.12.0 torchvision==0.13.0 torchaudio==0.12.0 torchtext cudatoolkit=11.3 -c pytorch && \
+    mamba install -y openmp && \
     #pip install patchelf && \
     #patchelf --add-needed libomp.so /opt/conda/lib/python3.7/site-packages/torchtext/lib/libtorchtext.so && \
     #patchelf --add-needed libomp.so /opt/conda/lib/python3.7/site-packages/torchaudio/lib/libtorchaudio.so && \
-    #rm -rf /tmp/torch && \
+    rm -rf /tmp/torch && \
     /tmp/clean-layer.sh
 {{ else }}
 RUN pip install \
diff --git a/Jenkinsfile b/Jenkinsfile
index 44c8955b..ceb48a2f 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -22,6 +22,27 @@ pipeline {
   stages {
     stage('Pre-build Packages from Source') {
       parallel {
+        stage('torch') {
+          options {
+            timeout(time: 180, unit: 'MINUTES')
+          }
+          steps {
+            sh '''#!/bin/bash
+              set -exo pipefail
+              source config.txt
+              cd packages/
+              ./build_package --base-image $BASE_IMAGE_REPO/$GPU_BASE_IMAGE_NAME:$BASE_IMAGE_TAG \
+                --package torch \
+                --version $TORCH_VERSION \
+                --build-arg TORCHAUDIO_VERSION=$TORCHAUDIO_VERSION \
+                --build-arg TORCHTEXT_VERSION=$TORCHTEXT_VERSION \
+                --build-arg TORCHVISION_VERSION=$TORCHVISION_VERSION \
+                --build-arg CUDA_MAJOR_VERSION=$CUDA_MAJOR_VERSION \
+                --build-arg CUDA_MINOR_VERSION=$CUDA_MINOR_VERSION \
+                --push
+            '''
+          }
+        }
         stage('lightgbm') {
           options {
             timeout(time: 10, unit: 'MINUTES')
diff --git a/config.txt b/config.txt
index 4fb11971..c0ccbec8 100644
--- a/config.txt
+++ b/config.txt
@@ -3,9 +3,9 @@ BASE_IMAGE_TAG=m103
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-11
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-11
 LIGHTGBM_VERSION=3.3.2
-TORCH_VERSION=1.12.0
-TORCHAUDIO_VERSION=0.12.0
-TORCHTEXT_VERSION=0.13.0
-TORCHVISION_VERSION=0.13.0
+TORCH_VERSION=1.13.0
+TORCHAUDIO_VERSION=0.13.0
+TORCHTEXT_VERSION=0.14.0
+TORCHVISION_VERSION=0.14.0
 CUDA_MAJOR_VERSION=11
 CUDA_MINOR_VERSION=3
diff --git a/packages/torch.Dockerfile b/packages/torch.Dockerfile
index 635d8f9e..cd8dcff0 100644
--- a/packages/torch.Dockerfile
+++ b/packages/torch.Dockerfile
@@ -55,8 +55,10 @@ RUN sudo apt-get update && \
     cd audio && \
     git checkout tags/v$TORCHAUDIO_VERSION && \
     git submodule sync && \
-    git submodule update --init --recursive --jobs 1 && \
-    python setup.py bdist_wheel
+    git submodule update --init --recursive --jobs 1
+# https://github.com/pytorch/audio/issues/936#issuecomment-702990346
+RUN sed -i 's/set(envs/set(envs\n  "LIBS=-ltinfo"/' /usr/local/src/audio/third_party/sox/CMakeLists.txt 
+RUN cd /usr/local/src/audio && python setup.py bdist_wheel
 
 # Build torchtext
 # Instructions: https://github.com/pytorch/text#building-from-source

From 476ca5349d33ed95869ecb7ccea4e8fead30ee63 Mon Sep 17 00:00:00 2001
From: Dustin H <djherbis@gmail.com>
Date: Fri, 17 Feb 2023 01:01:40 -0500
Subject: [PATCH 1328/1660] Update Dockerfile.tmpl

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 456160df..17ae962a 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -109,7 +109,7 @@ RUN mamba install implicit && \
 
 # Install PyTorch
 {{ if eq .Accelerator "gpu" }}
-#COPY --from=torch_whl /tmp/whl/*.whl /tmp/torch/
+COPY --from=torch_whl /tmp/whl/*.whl /tmp/torch/
 RUN mamba install -c pytorch magma-cuda${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION} && \
     pip install /tmp/torch/*.whl && \
     # b/255757999 openmp (libomp.so) is an dependency of libtorchtext and libtorchaudio but

From a4df8a00a80f3e7fdb894b708560a3bf917efadb Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Tue, 21 Feb 2023 18:54:32 +0000
Subject: [PATCH 1329/1660] b/270162926 fix geopandas test

---
 Dockerfile.tmpl         | 2 ++
 tests/test_geopandas.py | 3 +--
 2 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 17ae962a..83eb097a 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -538,6 +538,8 @@ RUN pip install pytorch-ignite \
         datasets==2.1.0 \
         kaggle-environments \
         geopandas \
+        # b/270162926 newer versions of shapely seem to break polygon data in geopandas
+        shapely==1.8 \
         vowpalwabbit \
         pydub \
         pydegensac \
diff --git a/tests/test_geopandas.py b/tests/test_geopandas.py
index 9b798827..e2bb4583 100644
--- a/tests/test_geopandas.py
+++ b/tests/test_geopandas.py
@@ -13,5 +13,4 @@ def test_spatial_join(self):
         countries = world[['geometry', 'name']]
         countries = countries.rename(columns={'name':'country'})
         cities_with_country = geopandas.sjoin(cities, countries, how="inner", op='intersects')
-        # naturalearth_lowres is missing all polygons so its always empty intersection...
-        #self.assertTrue(cities_with_country.size > 1)
\ No newline at end of file
+        self.assertTrue(cities_with_country.size > 1)
\ No newline at end of file

From 96018280c170f3d7201d3acda4c04ae0b01dd615 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Tue, 21 Feb 2023 17:58:19 -0500
Subject: [PATCH 1330/1660] Add torchinfo package to summarize a pytorch model
 (#1220)

http://b/257562539
---
 Dockerfile.tmpl         |  3 ++-
 tests/test_torchinfo.py | 11 +++++++++++
 2 files changed, 13 insertions(+), 1 deletion(-)
 create mode 100644 tests/test_torchinfo.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 83eb097a..2c288c2e 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -559,7 +559,8 @@ RUN pip install pytorch-ignite \
         tables \
         openpyxl \
         timm \
-        pycolmap && \
+        pycolmap \
+        torchinfo && \
     /tmp/clean-layer.sh
 
 # Download base easyocr models.
diff --git a/tests/test_torchinfo.py b/tests/test_torchinfo.py
new file mode 100644
index 00000000..7636d450
--- /dev/null
+++ b/tests/test_torchinfo.py
@@ -0,0 +1,11 @@
+import unittest
+
+import torch.nn as tnn
+
+from torchinfo import summary
+
+class TestTorchinfo(unittest.TestCase):
+    def test_info(self):
+        model = tnn.Linear(5,3)
+        s = summary(model)
+        self.assertEqual(1, len(s.summary_list))

From cd5effe8bf9d645ef7014c08b851e6aadc3461ca Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Wed, 22 Feb 2023 18:42:50 +0000
Subject: [PATCH 1331/1660] Fix bash printing a warning on all execs.

http://b/270147159
---
 Dockerfile.tmpl | 10 ++--------
 1 file changed, 2 insertions(+), 8 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 2c288c2e..21a6ad76 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -12,15 +12,7 @@ ARG TORCHVISION_VERSION
 FROM gcr.io/kaggle-images/python-lightgbm-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${LIGHTGBM_VERSION} AS lightgbm_whl
 FROM gcr.io/kaggle-images/python-torch-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${TORCH_VERSION} AS torch_whl
 FROM ${BASE_IMAGE_REPO}/${GPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
-{{ else }}
-FROM ${BASE_IMAGE_REPO}/${CPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
-{{ end }}
-
-# Ensures shared libraries installed with conda can be found by the dynamic link loader.
-ENV LIBRARY_PATH="$LIBRARY_PATH:/opt/conda/lib"
-ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/opt/conda/lib"
 
-{{ if eq .Accelerator "gpu" }}
 ARG CUDA_MAJOR_VERSION
 ARG CUDA_MINOR_VERSION
 ENV CUDA_MAJOR_VERSION=${CUDA_MAJOR_VERSION}
@@ -31,6 +23,8 @@ ENV PATH=/opt/bin:${PATH}
 ENV LD_LIBRARY_PATH_NO_STUBS="$LD_LIBRARY_PATH"
 ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64/stubs"
 RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
+{{ else }}
+FROM ${BASE_IMAGE_REPO}/${CPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
 {{ end }}
 
 # Keep these variables in sync if base image is updated.

From 95d7729c5dd6f95095e6fa1fd10bde52e0c21afb Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Wed, 22 Feb 2023 20:35:04 +0000
Subject: [PATCH 1332/1660] fix libtinfo.so

---
 Dockerfile.tmpl | 13 +++++++++++--
 1 file changed, 11 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 21a6ad76..e9ac86c7 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -12,7 +12,15 @@ ARG TORCHVISION_VERSION
 FROM gcr.io/kaggle-images/python-lightgbm-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${LIGHTGBM_VERSION} AS lightgbm_whl
 FROM gcr.io/kaggle-images/python-torch-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${TORCH_VERSION} AS torch_whl
 FROM ${BASE_IMAGE_REPO}/${GPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
+{{ else }}
+FROM ${BASE_IMAGE_REPO}/${CPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
+{{ end }}
+
+# Ensures shared libraries installed with conda can be found by the dynamic link loader.
+ENV LIBRARY_PATH="$LIBRARY_PATH:/opt/conda/lib"
+ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/opt/conda/lib"
 
+{{ if eq .Accelerator "gpu" }}
 ARG CUDA_MAJOR_VERSION
 ARG CUDA_MINOR_VERSION
 ENV CUDA_MAJOR_VERSION=${CUDA_MAJOR_VERSION}
@@ -23,8 +31,6 @@ ENV PATH=/opt/bin:${PATH}
 ENV LD_LIBRARY_PATH_NO_STUBS="$LD_LIBRARY_PATH"
 ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64/stubs"
 RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
-{{ else }}
-FROM ${BASE_IMAGE_REPO}/${CPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
 {{ end }}
 
 # Keep these variables in sync if base image is updated.
@@ -636,6 +642,9 @@ RUN jupyter-nbextension disable nb_conda --py --sys-prefix && \
 # Force only one libcusolver
 RUN rm /opt/conda/bin/../lib/libcusolver.so.11 && ln -s /usr/local/cuda/lib64/libcusolver.so.11 /opt/conda/bin/../lib/libcusolver.so.11
 
+# b/270147159 conda ships with a version of libtinfo which is missing version info causing warnings, replace it with a good version.
+RUN rm /opt/conda/lib/libtinfo.so.6 && ln -s /usr/lib/x86_64-linux-gnu/libtinfo.so.6 /opt/conda/lib/libtinfo.so.6
+
 # Set backend for matplotlib
 ENV MPLBACKEND "agg"
 

From b2f03bc92a33b3deaf5c7d95e2121b635f38359d Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 27 Feb 2023 18:13:25 -0500
Subject: [PATCH 1333/1660] Update config.txt

---
 tpu/config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tpu/config.txt b/tpu/config.txt
index e3c23898..254d8bc9 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -1,5 +1,5 @@
 TENSORFLOW_VERSION=2.9.1
-JAX_VERSION=0.3.10
+JAX_VERSION=0.4.4
 # Supports nightly
 TORCH_VERSION=1.10.0
 # https://github.com/pytorch/audio supports nightly

From a54ce439c616cd94886bcc87d236ea31f6b1eb7e Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 27 Feb 2023 22:20:39 -0500
Subject: [PATCH 1334/1660] Update Dockerfile

---
 tpu/Dockerfile | 8 ++------
 1 file changed, 2 insertions(+), 6 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index f615fcd2..857b60be 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -43,14 +43,11 @@ RUN pip download -d /lib/wheels/sources /lib/wheels/tensorflow-${TENSORFLOW_VERS
 ENV PIP_LIBTPU=/usr/local/lib/python3.8/site-packages/libtpu/libtpu.so
 ENV DEFAULT_LIBTPU=/lib/libtpu.so
 ENV PYTORCH_LIBTPU=/lib/torch-libtpu.so
-ENV JAX_LIBTPU=/lib/jax-libtpu.so
 
 # Install JAX & related packages
 # https://cloud.google.com/tpu/docs/jax-quickstart-tpu-vm#install_jax_on_your_cloud_tpu_vm
 RUN pip install jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax elegy git+https://github.com/deepmind/dm-haiku jraph distrax
 
-RUN cp $PIP_LIBTPU $JAX_LIBTPU
-
 # Install Pytorch & related packages
 # https://cloud.google.com/tpu/docs/pytorch-xla-ug-tpu-vm#changing_pytorch_version
 # The URL doesn't include patch version. i.e. must use 1.11 instead of 1.11.0
@@ -58,9 +55,8 @@ RUN pip install torch==${TORCH_VERSION} torch_xla[tpuvm] -f https://storage.goog
 
 RUN cp $PIP_LIBTPU $PYTORCH_LIBTPU
 
-# Monkey-patch TF, JAX & PYTORCH to load the correct libtpu.so when they are imported:
-RUN sed -i "s|^\(\(.*\)libtpu.configure_library_path.*\)|\1\n\2os.environ['TPU_LIBRARY_PATH'] = '${PYTORCH_LIBTPU}'|" /usr/local/lib/python3.8/site-packages/torch_xla/__init__.py && \
-    sed -i "s|^\(\(.*\)libtpu.configure_library_path.*\)|\1\n\2os.environ['TPU_LIBRARY_PATH'] = '${JAX_LIBTPU}'|" /usr/local/lib/python3.8/site-packages/jax/_src/cloud_tpu_init.py
+# Monkey-patch PYTORCH to load the correct libtpu.so when they are imported:
+RUN sed -i "s|^\(\(.*\)libtpu.configure_library_path.*\)|\1\n\2os.environ['TPU_LIBRARY_PATH'] = '${PYTORCH_LIBTPU}'|" /usr/local/lib/python3.8/site-packages/torch_xla/__init__.py
 
 # Packages needed by the Notebook editor:
 RUN pip install papermill jupyterlab python-lsp-server[all] jupyterlab-lsp

From d3ce541bc5b4bcc47394356bf3e505be78cddd60 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 28 Feb 2023 09:46:56 -0500
Subject: [PATCH 1335/1660] Install JAX last in TPU VM

This should avoid pytorch overriding the libtpu location by default.
---
 tpu/Dockerfile | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 857b60be..77505f1e 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -44,10 +44,6 @@ ENV PIP_LIBTPU=/usr/local/lib/python3.8/site-packages/libtpu/libtpu.so
 ENV DEFAULT_LIBTPU=/lib/libtpu.so
 ENV PYTORCH_LIBTPU=/lib/torch-libtpu.so
 
-# Install JAX & related packages
-# https://cloud.google.com/tpu/docs/jax-quickstart-tpu-vm#install_jax_on_your_cloud_tpu_vm
-RUN pip install jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax elegy git+https://github.com/deepmind/dm-haiku jraph distrax
-
 # Install Pytorch & related packages
 # https://cloud.google.com/tpu/docs/pytorch-xla-ug-tpu-vm#changing_pytorch_version
 # The URL doesn't include patch version. i.e. must use 1.11 instead of 1.11.0
@@ -58,6 +54,10 @@ RUN cp $PIP_LIBTPU $PYTORCH_LIBTPU
 # Monkey-patch PYTORCH to load the correct libtpu.so when they are imported:
 RUN sed -i "s|^\(\(.*\)libtpu.configure_library_path.*\)|\1\n\2os.environ['TPU_LIBRARY_PATH'] = '${PYTORCH_LIBTPU}'|" /usr/local/lib/python3.8/site-packages/torch_xla/__init__.py
 
+# Install JAX & related packages
+# https://cloud.google.com/tpu/docs/jax-quickstart-tpu-vm#install_jax_on_your_cloud_tpu_vm
+RUN pip install jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax elegy git+https://github.com/deepmind/dm-haiku jraph distrax
+
 # Packages needed by the Notebook editor:
 RUN pip install papermill jupyterlab python-lsp-server[all] jupyterlab-lsp
 

From 20fb6d02377567f124f730900531467389679c4c Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 1 Mar 2023 10:04:34 -0500
Subject: [PATCH 1336/1660] Add kaggle module resolver to TPU VM image

http://b/271263020
---
 tpu/Dockerfile | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 77505f1e..3cb8f09e 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -64,6 +64,11 @@ RUN pip install papermill jupyterlab python-lsp-server[all] jupyterlab-lsp
 # Additional useful packages should be added here:
 RUN pip install pandas
 
+# Add Kaggle module resolver
+ADD patches/kaggle_module_resolver.py /usr/local/lib/python3.8/site-packages/tensorflow_hub/kaggle_module_resolver.py
+RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py && \
+    sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py
+
 # Set these env vars so that they don't produce errs calling the metadata server to load them:
 ENV TPU_ACCELERATOR_TYPE=v3-8
 ENV TPU_PROCESS_ADDRESSES=local

From 16d840fbea5376c7d3bdab6b37100c125eecbcdf Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 1 Mar 2023 10:27:49 -0500
Subject: [PATCH 1337/1660] Update config.txt

---
 tpu/config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tpu/config.txt b/tpu/config.txt
index 254d8bc9..02110593 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -1,4 +1,4 @@
-TENSORFLOW_VERSION=2.9.1
+TENSORFLOW_VERSION=2.11.0
 JAX_VERSION=0.4.4
 # Supports nightly
 TORCH_VERSION=1.10.0

From 1f4cc390c74a9befc306228df1e0b7f4759f2e5f Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 1 Mar 2023 10:28:45 -0500
Subject: [PATCH 1338/1660] Update config.txt

---
 tpu/config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tpu/config.txt b/tpu/config.txt
index 02110593..254d8bc9 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -1,4 +1,4 @@
-TENSORFLOW_VERSION=2.11.0
+TENSORFLOW_VERSION=2.9.1
 JAX_VERSION=0.4.4
 # Supports nightly
 TORCH_VERSION=1.10.0

From 3f3538d9bac60ea4c561a01bab0203348d1d8023 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 1 Mar 2023 10:31:53 -0500
Subject: [PATCH 1339/1660] Update Dockerfile

---
 tpu/Dockerfile | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 3cb8f09e..21c0a572 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -65,9 +65,10 @@ RUN pip install papermill jupyterlab python-lsp-server[all] jupyterlab-lsp
 RUN pip install pandas
 
 # Add Kaggle module resolver
-ADD patches/kaggle_module_resolver.py /usr/local/lib/python3.8/site-packages/tensorflow_hub/kaggle_module_resolver.py
-RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py && \
-    sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py
+# This has to be run *after* tensorflow is installed or it will get overwritten.
+#ADD patches/kaggle_module_resolver.py /usr/local/lib/python3.8/site-packages/tensorflow_hub/kaggle_module_resolver.py
+#RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py && \
+#    sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py
 
 # Set these env vars so that they don't produce errs calling the metadata server to load them:
 ENV TPU_ACCELERATOR_TYPE=v3-8

From 79d507203432e74c8de46bf2b69367319da4f09e Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Wed, 1 Mar 2023 15:51:15 +0000
Subject: [PATCH 1340/1660] add install script for tensorflow with patching

---
 tpu/Dockerfile        | 9 +++------
 tpu/config.txt        | 2 +-
 tpu/install_tf_tpu.sh | 6 ++++++
 3 files changed, 10 insertions(+), 7 deletions(-)
 create mode 100644 tpu/install_tf_tpu.sh

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 21c0a572..9430bca3 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -38,6 +38,9 @@ ADD patches/kaggle_datasets.py /root/.local/lib/python3.8/site-packages/kaggle_d
 RUN mkdir -p /lib/wheels && curl --output /lib/wheels/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl
 RUN curl --output /lib/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/1.3.0/libtpu.so
 RUN pip download -d /lib/wheels/sources /lib/wheels/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl
+ADD patches/kaggle_module_resolver.py /lib/patches/kaggle_module_resolver.py
+ADD tpu/install_tf_tpu.sh /lib/install_tf_tpu.sh
+RUN chmod u+x /lib/install_tf_tpu.sh
 
 # LIBTPU installed here:
 ENV PIP_LIBTPU=/usr/local/lib/python3.8/site-packages/libtpu/libtpu.so
@@ -64,12 +67,6 @@ RUN pip install papermill jupyterlab python-lsp-server[all] jupyterlab-lsp
 # Additional useful packages should be added here:
 RUN pip install pandas
 
-# Add Kaggle module resolver
-# This has to be run *after* tensorflow is installed or it will get overwritten.
-#ADD patches/kaggle_module_resolver.py /usr/local/lib/python3.8/site-packages/tensorflow_hub/kaggle_module_resolver.py
-#RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py && \
-#    sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py
-
 # Set these env vars so that they don't produce errs calling the metadata server to load them:
 ENV TPU_ACCELERATOR_TYPE=v3-8
 ENV TPU_PROCESS_ADDRESSES=local
diff --git a/tpu/config.txt b/tpu/config.txt
index 254d8bc9..02110593 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -1,4 +1,4 @@
-TENSORFLOW_VERSION=2.9.1
+TENSORFLOW_VERSION=2.11.0
 JAX_VERSION=0.4.4
 # Supports nightly
 TORCH_VERSION=1.10.0
diff --git a/tpu/install_tf_tpu.sh b/tpu/install_tf_tpu.sh
new file mode 100644
index 00000000..a63bedd7
--- /dev/null
+++ b/tpu/install_tf_tpu.sh
@@ -0,0 +1,6 @@
+#!/bin/bash
+
+pip install --no-index --find-links /lib/wheels/sources /lib/wheels/tensorflow-*-cp38-cp38-linux_x86_64.whl
+cp /lib/patches/kaggle_module_resolver.py /usr/local/lib/python3.8/site-packages/tensorflow_hub/kaggle_module_resolver.py
+sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py
+sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py

From c185f0d098f7b1f2af1b3f11ce9367a6315086ba Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 1 Mar 2023 14:15:46 -0500
Subject: [PATCH 1341/1660] Need force-reinstall so that it actually installs
 the TPU version

---
 tpu/install_tf_tpu.sh | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tpu/install_tf_tpu.sh b/tpu/install_tf_tpu.sh
index a63bedd7..b6096196 100644
--- a/tpu/install_tf_tpu.sh
+++ b/tpu/install_tf_tpu.sh
@@ -1,6 +1,6 @@
 #!/bin/bash
 
-pip install --no-index --find-links /lib/wheels/sources /lib/wheels/tensorflow-*-cp38-cp38-linux_x86_64.whl
+pip install --force-reinstall --no-index --find-links /lib/wheels/sources /lib/wheels/tensorflow-*-cp38-cp38-linux_x86_64.whl
 cp /lib/patches/kaggle_module_resolver.py /usr/local/lib/python3.8/site-packages/tensorflow_hub/kaggle_module_resolver.py
 sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py
 sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py

From bfbf61205d8e26ac947260d1674efa68252cf824 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Thu, 2 Mar 2023 09:46:39 -0500
Subject: [PATCH 1342/1660] Install tensorflowjs (#1225)

http://b/270574969
---
 Dockerfile.tmpl            |  1 +
 tests/test_tensorflowjs.py | 18 ++++++++++++++++++
 2 files changed, 19 insertions(+)
 create mode 100644 tests/test_tensorflowjs.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index e9ac86c7..670c9cd3 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -511,6 +511,7 @@ RUN pip install flashtext \
         pyarabic \
         pandasql \
         tensorflow_hub \
+        tensorflowjs \
         jieba  \
         # ggplot is broken and main repo does not merge and release https://github.com/yhat/ggpy/pull/668
         https://github.com/hbasria/ggpy/archive/0.11.5.zip \
diff --git a/tests/test_tensorflowjs.py b/tests/test_tensorflowjs.py
new file mode 100644
index 00000000..70d280f2
--- /dev/null
+++ b/tests/test_tensorflowjs.py
@@ -0,0 +1,18 @@
+import os
+import subprocess
+import unittest
+
+class TestTensorflowjs(unittest.TestCase):
+    def test_version(self):
+        result = subprocess.run([
+                'tensorflowjs_converter',
+                '--version',
+            ],
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+        )
+
+        print("tensorflowjs_converter version: ", result)
+
+        self.assertEqual(0, result.returncode)
+        self.assertIn(b'tensorflowjs', result.stdout)

From dc47667c25cdc02d11615e800d2a5ba9f0c5f002 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Thu, 2 Mar 2023 21:35:33 +0000
Subject: [PATCH 1343/1660] install tf2.11 in the image

---
 tpu/Dockerfile        | 23 ++++++++++-------------
 tpu/config.txt        |  1 +
 tpu/install_tf_tpu.sh |  6 ------
 3 files changed, 11 insertions(+), 19 deletions(-)
 delete mode 100644 tpu/install_tf_tpu.sh

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 9430bca3..a6af6975 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -4,6 +4,7 @@ FROM python:3.8
 # See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
 ARG TORCH_VERSION
 ARG TENSORFLOW_VERSION
+ARG TF_LIBTPU_VERSION
 ARG JAX_VERSION
 ARG TORCHVISION_VERSION
 ARG TORCHTEXT_VERSION
@@ -31,26 +32,21 @@ ADD patches/kaggle_datasets.py /root/.local/lib/python3.8/site-packages/kaggle_d
 # ADD patches/sitecustomize.py /root/.local/lib/python3.8/site-packages/sitecustomize.py
 
 # Tensorflow wheel:
-# When tensorflow is compatible with being installed alongside JAX/Pytorch then we no longer need to include the wheel and can install it directly.
-# RUN pip install https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl
-# To install offline:
-# pip install --no-index --find-links /lib/wheels/sources /lib/wheels/tensorflow-2.9.1-cp38-cp38-linux_x86_64.whl
-RUN mkdir -p /lib/wheels && curl --output /lib/wheels/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl
-RUN curl --output /lib/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/1.3.0/libtpu.so
-RUN pip download -d /lib/wheels/sources /lib/wheels/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl
-ADD patches/kaggle_module_resolver.py /lib/patches/kaggle_module_resolver.py
-ADD tpu/install_tf_tpu.sh /lib/install_tf_tpu.sh
-RUN chmod u+x /lib/install_tf_tpu.sh
+RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl
+RUN curl --output /lib/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/${TF_LIBTPU_VERSION}/libtpu.so
+ADD patches/kaggle_module_resolver.py /usr/local/lib/python3.8/site-packages/tensorflow_hub/kaggle_module_resolver.py
+RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py
+RUN sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py
 
 # LIBTPU installed here:
 ENV PIP_LIBTPU=/usr/local/lib/python3.8/site-packages/libtpu/libtpu.so
-ENV DEFAULT_LIBTPU=/lib/libtpu.so
 ENV PYTORCH_LIBTPU=/lib/torch-libtpu.so
 
 # Install Pytorch & related packages
 # https://cloud.google.com/tpu/docs/pytorch-xla-ug-tpu-vm#changing_pytorch_version
 # The URL doesn't include patch version. i.e. must use 1.11 instead of 1.11.0
-RUN pip install torch==${TORCH_VERSION} torch_xla[tpuvm] -f https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-${TORCH_VERSION%.*}-cp38-cp38-linux_x86_64.whl torchvision==${TORCHVISION_VERSION} torchtext==${TORCHTEXT_VERSION} torchaudio==${TORCHAUDIO_VERSION}
+# We need to keep the numpy version the same as the installed tf one but compatible with other installs.
+RUN pip install numpy==1.24.2 torch==${TORCH_VERSION} torch_xla[tpuvm] -f https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-${TORCH_VERSION%.*}-cp38-cp38-linux_x86_64.whl torchvision==${TORCHVISION_VERSION} torchtext==${TORCHTEXT_VERSION} torchaudio==${TORCHAUDIO_VERSION}
 
 RUN cp $PIP_LIBTPU $PYTORCH_LIBTPU
 
@@ -59,7 +55,8 @@ RUN sed -i "s|^\(\(.*\)libtpu.configure_library_path.*\)|\1\n\2os.environ['TPU_L
 
 # Install JAX & related packages
 # https://cloud.google.com/tpu/docs/jax-quickstart-tpu-vm#install_jax_on_your_cloud_tpu_vm
-RUN pip install jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax elegy git+https://github.com/deepmind/dm-haiku jraph distrax
+# We need to keep the numpy version the same as the installed tf one but compatible with other installs.
+RUN pip install numpy==1.24.2 jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax elegy git+https://github.com/deepmind/dm-haiku jraph distrax
 
 # Packages needed by the Notebook editor:
 RUN pip install papermill jupyterlab python-lsp-server[all] jupyterlab-lsp
diff --git a/tpu/config.txt b/tpu/config.txt
index 02110593..4b699b1b 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -1,4 +1,5 @@
 TENSORFLOW_VERSION=2.11.0
+TF_LIBTPU_VERSION=1.5.0
 JAX_VERSION=0.4.4
 # Supports nightly
 TORCH_VERSION=1.10.0
diff --git a/tpu/install_tf_tpu.sh b/tpu/install_tf_tpu.sh
deleted file mode 100644
index b6096196..00000000
--- a/tpu/install_tf_tpu.sh
+++ /dev/null
@@ -1,6 +0,0 @@
-#!/bin/bash
-
-pip install --force-reinstall --no-index --find-links /lib/wheels/sources /lib/wheels/tensorflow-*-cp38-cp38-linux_x86_64.whl
-cp /lib/patches/kaggle_module_resolver.py /usr/local/lib/python3.8/site-packages/tensorflow_hub/kaggle_module_resolver.py
-sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py
-sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py

From 80c80b6fd24e918432b4dbaa079b121a34d7b235 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 6 Mar 2023 14:17:45 -0500
Subject: [PATCH 1344/1660] Pin kaggle-environments to fix rgf_python

http://b/271870650
---
 Dockerfile.tmpl | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 670c9cd3..7be2b689 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -537,7 +537,8 @@ RUN pip install pytorch-ignite \
         transformers \
         # b/232247930 >= 2.2.0 requires pyarrow >= 6.0.0 which conflicts with dependencies for rapidsai 0.21.*
         datasets==2.1.0 \
-        kaggle-environments \
+        # b/271870650 1.13.0 installs pickle5 which breaks rgf_pythons tests
+        kaggle-environments==1.12.0 \
         geopandas \
         # b/270162926 newer versions of shapely seem to break polygon data in geopandas
         shapely==1.8 \

From 1fddba8af6a31a9ee9fda898ee0fb0f02522dff4 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Thu, 9 Mar 2023 17:59:31 -0500
Subject: [PATCH 1345/1660] Upgrade jax to 0.4.6 on tpuvm

---
 tpu/config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tpu/config.txt b/tpu/config.txt
index 4b699b1b..6da219fd 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -1,6 +1,6 @@
 TENSORFLOW_VERSION=2.11.0
 TF_LIBTPU_VERSION=1.5.0
-JAX_VERSION=0.4.4
+JAX_VERSION=0.4.6
 # Supports nightly
 TORCH_VERSION=1.10.0
 # https://github.com/pytorch/audio supports nightly

From 5ce0d29b27ece90b6ca291dc7e761122214277a2 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 14 Mar 2023 10:09:33 -0400
Subject: [PATCH 1346/1660] Pin nbconvert to <=7.0.0

http://b/273059949
---
 Dockerfile.tmpl | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 9e3d6189..02082157 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -442,6 +442,8 @@ RUN pip install bleach \
         mistune \
         nbformat \
         notebook \
+        # b/273059949 nbconvert has a speed regression past this version
+        nbconvert<=7.0.0 \
         papermill \
         python-lsp-server[all] \
         olefile \

From 80b5a83443e5f64705776223bbaf27f99d27a3f8 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 14 Mar 2023 12:57:32 -0400
Subject: [PATCH 1347/1660] Move comment outside pip command

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 02082157..c6d9293f 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -421,6 +421,7 @@ RUN pip install annoy \
 
 # Fix qgrid by pinning ipywidgets https://github.com/quantopian/qgrid/issues/376
 #        allennlp \
+# b/273059949 nbconvert has a speed regression past this version
 RUN pip install bleach \
         certifi \
         cycler \
@@ -442,7 +443,6 @@ RUN pip install bleach \
         mistune \
         nbformat \
         notebook \
-        # b/273059949 nbconvert has a speed regression past this version
         nbconvert<=7.0.0 \
         papermill \
         python-lsp-server[all] \

From bad85e2e250be945bc72eed34b885c04036eb151 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 14 Mar 2023 14:47:20 -0400
Subject: [PATCH 1348/1660] properly quote "nbconvert<=7.0.0"

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index c6d9293f..9e65713d 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -443,7 +443,7 @@ RUN pip install bleach \
         mistune \
         nbformat \
         notebook \
-        nbconvert<=7.0.0 \
+        "nbconvert<=7.0.0" \
         papermill \
         python-lsp-server[all] \
         olefile \

From 33b07f792516217394bf05376a4826fe27ab02d0 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 14 Mar 2023 16:37:19 -0400
Subject: [PATCH 1349/1660] remove nbconvert pin until it can install correctly

---
 Dockerfile.tmpl | 2 --
 1 file changed, 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 9e65713d..9e3d6189 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -421,7 +421,6 @@ RUN pip install annoy \
 
 # Fix qgrid by pinning ipywidgets https://github.com/quantopian/qgrid/issues/376
 #        allennlp \
-# b/273059949 nbconvert has a speed regression past this version
 RUN pip install bleach \
         certifi \
         cycler \
@@ -443,7 +442,6 @@ RUN pip install bleach \
         mistune \
         nbformat \
         notebook \
-        "nbconvert<=7.0.0" \
         papermill \
         python-lsp-server[all] \
         olefile \

From bfc906bb457929e0164fa23a99bb8d6cadcda893 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 14 Mar 2023 16:48:25 -0400
Subject: [PATCH 1350/1660] Fix nbconvert slowdown

http://b/273059949
---
 Dockerfile.tmpl | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 9e3d6189..5dc2499e 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -418,6 +418,8 @@ RUN pip install annoy \
         mlcrate && \
     /tmp/clean-layer.sh
 
+# b/273059949 The pre-installed nbconvert is slow on html conversions and has to be force-uninstalled.
+RUN !rm -rf /opt/conda/lib/python3.7/site-packages/nbconvert*
 
 # Fix qgrid by pinning ipywidgets https://github.com/quantopian/qgrid/issues/376
 #        allennlp \
@@ -442,6 +444,7 @@ RUN pip install bleach \
         mistune \
         nbformat \
         notebook \
+        "nbconvert<=7.0.0" \
         papermill \
         python-lsp-server[all] \
         olefile \

From b2133e9e03c82a85c34348c582c7d47154c00a46 Mon Sep 17 00:00:00 2001
From: Dustin H <djherbis@gmail.com>
Date: Tue, 14 Mar 2023 19:00:25 -0400
Subject: [PATCH 1351/1660] Update Dockerfile.tmpl

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 5dc2499e..209863a2 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -419,7 +419,7 @@ RUN pip install annoy \
     /tmp/clean-layer.sh
 
 # b/273059949 The pre-installed nbconvert is slow on html conversions and has to be force-uninstalled.
-RUN !rm -rf /opt/conda/lib/python3.7/site-packages/nbconvert*
+RUN rm -rf /opt/conda/lib/python3.7/site-packages/nbconvert*
 
 # Fix qgrid by pinning ipywidgets https://github.com/quantopian/qgrid/issues/376
 #        allennlp \

From 7ec8bf4375377629a9a15ee77ce64bac8774d532 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 15 Mar 2023 10:37:19 -0400
Subject: [PATCH 1352/1660] Update Dockerfile.tmpl

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 209863a2..d76bc7e3 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -444,7 +444,7 @@ RUN pip install bleach \
         mistune \
         nbformat \
         notebook \
-        "nbconvert<=7.0.0" \
+        "nbconvert<7" \
         papermill \
         python-lsp-server[all] \
         olefile \

From 52f0fc6edffea861910ccc42e0d07eddde3683a7 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 15 Mar 2023 12:26:13 -0400
Subject: [PATCH 1353/1660] Update Dockerfile.tmpl

---
 Dockerfile.tmpl | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index d76bc7e3..08f7ac07 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -420,6 +420,7 @@ RUN pip install annoy \
 
 # b/273059949 The pre-installed nbconvert is slow on html conversions and has to be force-uninstalled.
 RUN rm -rf /opt/conda/lib/python3.7/site-packages/nbconvert*
+RUN rm -rf /opt/conda/lib/python3.7/site-packages/mistune*
 
 # Fix qgrid by pinning ipywidgets https://github.com/quantopian/qgrid/issues/376
 #        allennlp \

From ca4f0df903ad299baca062a0dbeeeee7acd58803 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Thu, 16 Mar 2023 14:29:28 -0400
Subject: [PATCH 1354/1660] Upgrade TPUVM to PyTorch2.0

http://b/273529732
---
 tpu/config.txt | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/tpu/config.txt b/tpu/config.txt
index 6da219fd..642b32fe 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -2,10 +2,10 @@ TENSORFLOW_VERSION=2.11.0
 TF_LIBTPU_VERSION=1.5.0
 JAX_VERSION=0.4.6
 # Supports nightly
-TORCH_VERSION=1.10.0
+TORCH_VERSION=2.0.0
 # https://github.com/pytorch/audio supports nightly
-TORCHAUDIO_VERSION=0.10.0
+TORCHAUDIO_VERSION=2.0.0
 # https://github.com/pytorch/text supports main
-TORCHTEXT_VERSION=0.11.0
+TORCHTEXT_VERSION=0.15.1
 # https://github.com/pytorch/vision supports nightly
-TORCHVISION_VERSION=0.11.1
+TORCHVISION_VERSION=0.15.1

From 9fc9d9eb3403064915d27550662dab04aa1011fe Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Thu, 16 Mar 2023 21:03:40 +0000
Subject: [PATCH 1355/1660] Python 3.10

http://b/273574631
---
 Dockerfile.tmpl                      | 79 +++++++++++++++-------------
 packages/lightgbm.Dockerfile         |  2 +-
 packages/torch.Dockerfile            |  1 +
 patches/log.py                       |  2 +-
 tests/test_automl.py                 |  2 +-
 tests/test_bigquery.py               |  2 +-
 tests/test_bigquery_proxy.py         |  2 +-
 tests/test_datasets.py               |  2 +-
 tests/test_datatable.py              | 17 ------
 tests/test_dipy.py                   |  2 +-
 tests/test_gcs.py                    |  2 +-
 tests/test_jupyterlab_lsp.py         |  1 +
 tests/test_kaggle_module_resolver.py |  2 +-
 tests/test_natural_language.py       |  2 +-
 tests/test_pycolmap.py               | 13 -----
 tests/test_pytorch_lightning.py      |  2 +-
 tests/test_sklearn.py                |  4 +-
 tests/test_tensorflow_credentials.py |  2 +-
 tests/test_theano.py                 | 20 -------
 tests/test_translation.py            |  2 +-
 tests/test_ucaip.py                  |  2 +-
 tests/test_user_secrets.py           |  2 +-
 tests/test_user_session.py           |  2 +-
 tests/test_video_intelligence.py     |  2 +-
 tests/test_vision.py                 |  2 +-
 25 files changed, 63 insertions(+), 108 deletions(-)
 delete mode 100644 tests/test_datatable.py
 delete mode 100644 tests/test_pycolmap.py
 delete mode 100644 tests/test_theano.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 08f7ac07..410ea1a2 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -87,7 +87,7 @@ RUN conda config --add channels nvidia && \
     conda install -c conda-forge mamba && \
     # Base image channel order: conda-forge (highest priority), defaults.
     # End state: rapidsai (highest priority), nvidia, conda-forge, defaults.
-    mamba install mkl cartopy=0.19 imagemagick=7.1 pyproj==3.1.0 && \
+    mamba install mkl cartopy imagemagick pyproj && \
     /tmp/clean-layer.sh
 
 {{ if eq .Accelerator "gpu" }}
@@ -115,8 +115,8 @@ RUN mamba install -c pytorch magma-cuda${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION
     # b/255757999 openmp (libomp.so) is an dependency of libtorchtext and libtorchaudio but
     mamba install -y openmp && \
     #pip install patchelf && \
-    #patchelf --add-needed libomp.so /opt/conda/lib/python3.7/site-packages/torchtext/lib/libtorchtext.so && \
-    #patchelf --add-needed libomp.so /opt/conda/lib/python3.7/site-packages/torchaudio/lib/libtorchaudio.so && \
+    #patchelf --add-needed libomp.so /opt/conda/lib/python3.10/site-packages/torchtext/lib/libtorchtext.so && \
+    #patchelf --add-needed libomp.so /opt/conda/lib/python3.10/site-packages/torchaudio/lib/libtorchaudio.so && \
     rm -rf /tmp/torch && \
     /tmp/clean-layer.sh
 {{ else }}
@@ -202,13 +202,11 @@ RUN pip install pysal \
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
     # b/198300835 kornia 4.1.0 is not compatible with our version of numpy.
-    pip install gensim==4.0.1 \
+    pip install gensim \
         textblob \
         wordcloud \
         xgboost \
         pydot \
-        # Pinned because it breaks theano test with the latest version (b/178107003).
-        theano-pymc==1.0.11 \
         python-Levenshtein \
         hep_ml && \
     # NLTK Project datasets
@@ -265,9 +263,15 @@ RUN pip install scipy \
     apt-get install -y graphviz && pip install graphviz && \
     # Pandoc is a dependency of deap
     apt-get install -y pandoc && \
-    pip install git+https://github.com/scikit-learn-contrib/py-earth.git@issue191 \
-        essentia && \
-    apt-get install -y git-lfs && \
+    pip install essentia
+
+# http://go/roole/git_clone_github.md
+#RUN git config --global --add url.https://github.com/.insteadOf git://github.com/ && \
+#     git clone git://github.com/scikit-learn-contrib/py-earth.git && \
+#        cd py-earth && \
+#        python setup.py install
+
+RUN apt-get install -y git-lfs && \
     /tmp/clean-layer.sh
 
 # vtk with dependencies
@@ -290,7 +294,7 @@ RUN pip install mpld3 \
         path.py \
         Geohash && \
     # https://github.com/vinsci/geohash/issues/4
-    sed -i -- 's/geohash/.geohash/g' /opt/conda/lib/python3.7/site-packages/Geohash/__init__.py && \
+    #sed -i -- 's/geohash/.geohash/g' /opt/conda/lib/python3.10/site-packages/Geohash/__init__.py && \
     pip install deap \
         tpot \
         scikit-optimize \
@@ -340,13 +344,12 @@ RUN pip install mpld3 \
         holoviews \
         geoviews \
         hypertools \
-        py_stringsimjoin \
         mlens \
         scikit-multilearn \
         cleverhans \
         leven \
         catboost \
-        lightfm \
+        #lightfm \
         folium \
         scikit-plot \
         fury dipy \
@@ -359,6 +362,7 @@ RUN pip install mpld3 \
         mock && \
     /tmp/clean-layer.sh
 
+RUN rm -rf /opt/conda/lib/python3.10/site-packages/numpy-1.23.5.dist-info*
 RUN pip install tensorpack && \
     # Add google PAIR-code Facets
     cd /opt/ && git clone https://github.com/PAIR-code/facets && cd facets/ && jupyter nbextension install facets-dist/ --user && \
@@ -378,8 +382,8 @@ RUN pip install tensorpack && \
 
 
 # Remove files that can't be uninstalled normally:
-RUN rm /opt/conda/lib/python3.7/site-packages/google*/REQUESTED
-RUN rm /opt/conda/lib/python3.7/site-packages/google*/direct_url.json
+#RUN rm /opt/conda/lib/python3.10/site-packages/google*/REQUESTED
+#RUN rm /opt/conda/lib/python3.10/site-packages/google*/direct_url.json
 # install cython & cysignals before pyfasttext
 RUN pip install cython \
         cysignals \
@@ -395,7 +399,7 @@ RUN pip install annoy \
     pip install git+https://github.com/googleapis/python-aiplatform.git@mb-release \
         google-cloud-automl==1.0.1 \
         google-api-core==1.33.2 \
-        google-cloud-bigquery==2.2.0 \
+        google-cloud-bigquery \
         google-cloud-storage \
         google-cloud-translate==3.* \
         google-cloud-language==2.* \
@@ -476,8 +480,8 @@ RUN pip install bleach \
         widgetsnbextension \
         pyarrow \
         feather-format \
-        fastai \
-        importlib-metadata
+        fastai
+#RUN pip install "importlib-metadata==6.0.0"
 RUN python -m spacy download en_core_web_sm && python -m spacy download en_core_web_lg && \
     apt-get install -y ffmpeg && \
     /tmp/clean-layer.sh
@@ -490,6 +494,9 @@ RUN python -m spacy download en_core_web_sm && python -m spacy download en_core_
     #
     ###########
 
+RUN rm /opt/conda/lib/python3.10/site-packages/google*/direct_url.json
+RUN rm /opt/conda/lib/python3.10/site-packages/google*/REQUESTED
+
 # dlib has a libmkl incompatibility:
 # test_dlib_face_detector (test_dlib.TestDLib) ... INTEL MKL ERROR: /opt/conda/bin/../lib/libmkl_avx512.so.2: undefined symbol: mkl_sparse_optimize_bsr_trsm_i8.
 # Intel MKL FATAL ERROR: Cannot load libmkl_avx512.so.2 or libmkl_def.so.2.
@@ -521,8 +528,6 @@ RUN pip install flashtext \
         https://github.com/hbasria/ggpy/archive/0.11.5.zip \
         cesium \
         rgf_python \
-        # b/205704651 remove install cmd for matrixprofile after version > 1.1.10 is released.
-        git+https://github.com/matrix-profile-foundation/matrixprofile.git@6bea7d4445284dbd9700a097974ef6d4613fbca7 \
         tsfresh \
         pykalman \
         optuna \
@@ -544,14 +549,13 @@ RUN pip install pytorch-ignite \
         # b/271870650 1.13.0 installs pickle5 which breaks rgf_pythons tests
         kaggle-environments==1.12.0 \
         geopandas \
-        # b/270162926 newer versions of shapely seem to break polygon data in geopandas
-        shapely==1.8 \
+        "shapely<2" \
         vowpalwabbit \
         pydub \
         pydegensac \
         torchmetrics \
         pytorch-lightning \
-        datatable \
+        #datatable \
         sympy \
         # flask is used by agents in the simulation competitions.
         flask \
@@ -565,7 +569,6 @@ RUN pip install pytorch-ignite \
         tables \
         openpyxl \
         timm \
-        pycolmap \
         torchinfo && \
     /tmp/clean-layer.sh
 
@@ -605,7 +608,7 @@ RUN pip install --upgrade dask && \
     mkdir -p /root/.jupyter && touch /root/.jupyter/jupyter_nbconvert_config.py && touch /root/.jupyter/migrated && \
     mkdir -p /.jupyter && touch /.jupyter/jupyter_nbconvert_config.py && touch /.jupyter/migrated && \
     # Stop Matplotlib printing junk to the console on first load
-    sed -i "s/^.*Matplotlib is building the font cache using fc-list.*$/# Warning removed by Kaggle/g" /opt/conda/lib/python3.7/site-packages/matplotlib/font_manager.py && \
+    sed -i "s/^.*Matplotlib is building the font cache using fc-list.*$/# Warning removed by Kaggle/g" /opt/conda/lib/python3.10/site-packages/matplotlib/font_manager.py && \
     # Make matplotlib output in Jupyter notebooks display correctly
     mkdir -p /etc/ipython/ && echo "c = get_config(); c.IPKernelApp.matplotlib = 'inline'" > /etc/ipython/ipython_config.py && \
     # Temporary patch for broken libpixman 0.38 in conda-forge, symlink to system libpixman 0.34 untile conda package gets updated to 0.38.5 or higher.
@@ -616,20 +619,20 @@ RUN pip install setuptools==59.8.0 && pip install -e git+https://github.com/Sohi
 
 # Add BigQuery client proxy settings
 ENV PYTHONUSERBASE "/root/.local"
-ADD patches/kaggle_gcp.py /root/.local/lib/python3.7/site-packages/kaggle_gcp.py
-ADD patches/kaggle_secrets.py /root/.local/lib/python3.7/site-packages/kaggle_secrets.py
-ADD patches/kaggle_session.py /root/.local/lib/python3.7/site-packages/kaggle_session.py
-ADD patches/kaggle_web_client.py /root/.local/lib/python3.7/site-packages/kaggle_web_client.py
-ADD patches/kaggle_datasets.py /root/.local/lib/python3.7/site-packages/kaggle_datasets.py
-ADD patches/log.py /root/.local/lib/python3.7/site-packages/log.py
-ADD patches/sitecustomize.py /root/.local/lib/python3.7/site-packages/sitecustomize.py
+ADD patches/kaggle_gcp.py /root/.local/lib/python3.10/site-packages/kaggle_gcp.py
+ADD patches/kaggle_secrets.py /root/.local/lib/python3.10/site-packages/kaggle_secrets.py
+ADD patches/kaggle_session.py /root/.local/lib/python3.10/site-packages/kaggle_session.py
+ADD patches/kaggle_web_client.py /root/.local/lib/python3.10/site-packages/kaggle_web_client.py
+ADD patches/kaggle_datasets.py /root/.local/lib/python3.10/site-packages/kaggle_datasets.py
+ADD patches/log.py /root/.local/lib/python3.10/site-packages/log.py
+ADD patches/sitecustomize.py /root/.local/lib/python3.10/site-packages/sitecustomize.py
 # Override default imagemagick policies
 ADD patches/imagemagick-policy.xml /etc/ImageMagick-6/policy.xml
 
 # Add Kaggle module resolver
-ADD patches/kaggle_module_resolver.py /opt/conda/lib/python3.7/site-packages/tensorflow_hub/kaggle_module_resolver.py
-RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /opt/conda/lib/python3.7/site-packages/tensorflow_hub/config.py && \
-    sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' /opt/conda/lib/python3.7/site-packages/tensorflow_hub/config.py
+ADD patches/kaggle_module_resolver.py /opt/conda/lib/python3.10/site-packages/tensorflow_hub/kaggle_module_resolver.py
+RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /opt/conda/lib/python3.10/site-packages/tensorflow_hub/config.py && \
+    sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' /opt/conda/lib/python3.10/site-packages/tensorflow_hub/config.py
 
 # TensorBoard Jupyter extension. Should be replaced with TensorBoard's provided magic once we have
 # worker tunneling support in place.
@@ -638,12 +641,12 @@ RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tens
 # RUN pip install jupyter_tensorboard && \
 #     jupyter serverextension enable jupyter_tensorboard && \
 #     jupyter tensorboard enable
-# ADD patches/tensorboard/notebook.py /opt/conda/lib/python3.7/site-packages/tensorboard/notebook.py
+# ADD patches/tensorboard/notebook.py /opt/conda/lib/python3.10/site-packages/tensorboard/notebook.py
 
 # Disable unnecessary jupyter extensions
-RUN jupyter-nbextension disable nb_conda --py --sys-prefix && \
-    jupyter-serverextension disable nb_conda --py --sys-prefix && \
-    python -m nb_conda_kernels.install --disable
+#RUN jupyter-nbextension disable nb_conda --py --sys-prefix && \
+#    jupyter-serverextension disable nb_conda --py --sys-prefix && \
+#    python -m nb_conda_kernels.install --disable
 
 # Force only one libcusolver
 RUN rm /opt/conda/bin/../lib/libcusolver.so.11 && ln -s /usr/local/cuda/lib64/libcusolver.so.11 /opt/conda/bin/../lib/libcusolver.so.11
diff --git a/packages/lightgbm.Dockerfile b/packages/lightgbm.Dockerfile
index 408c6acc..5525b816 100644
--- a/packages/lightgbm.Dockerfile
+++ b/packages/lightgbm.Dockerfile
@@ -6,7 +6,7 @@ ARG PACKAGE_VERSION
 
 # Build instructions: https://lightgbm.readthedocs.io/en/latest/GPU-Tutorial.html#build-lightgbm
 RUN apt-get update && \
-    apt-get install -y build-essential cmake libboost-dev libboost-system-dev libboost-filesystem-dev ocl-icd-libopencl1 clinfo
+    apt-get install -y build-essential cmake libboost-dev libboost-system-dev libboost-filesystem-dev ocl-icd-libopencl1 clinfo opencl-headers
 
 RUN cd /usr/local/src && \
     git clone --recursive https://github.com/microsoft/LightGBM && \
diff --git a/packages/torch.Dockerfile b/packages/torch.Dockerfile
index cd8dcff0..555fff6c 100644
--- a/packages/torch.Dockerfile
+++ b/packages/torch.Dockerfile
@@ -75,6 +75,7 @@ RUN cd /usr/local/src && \
 # Build torchvision.
 # Instructions: https://github.com/pytorch/vision/tree/main#installation
 # See comment above for PYTORCH_BUILD_VERSION.
+ENV CUDA_HOME=/usr/local/cuda
 ENV BUILD_VERSION=$TORCHVISION_VERSION
 RUN cd /usr/local/src && \
     git clone --recursive https://github.com/pytorch/vision && \
diff --git a/patches/log.py b/patches/log.py
index 88040ba3..2da5993c 100644
--- a/patches/log.py
+++ b/patches/log.py
@@ -27,7 +27,7 @@ class _Logger(logging.Logger):
     # set expanded to include the current filename (".../log.py").
     # Copyright 2001-2015 by Vinay Sajip. All Rights Reserved.
     # License: https://github.com/python/cpython/blob/ce9e62544571e7ade7186697d5dd065fb4c5243f/LICENSE
-    def findCaller(self, stack_info=False):
+    def findCaller(self, stack_info=False, stacklevel=1):
         f = logging.currentframe()
         f = f.f_back
         rv = "(unknown file)", 0, "(unknown function)", None
diff --git a/tests/test_automl.py b/tests/test_automl.py
index ba906a5f..63c34c69 100644
--- a/tests/test_automl.py
+++ b/tests/test_automl.py
@@ -3,7 +3,7 @@
 from unittest.mock import Mock, patch
 
 from kaggle_gcp import KaggleKernelCredentials, init_automl
-from test.support import EnvironmentVarGuard
+from test.support.os_helper import EnvironmentVarGuard
 from google.cloud import storage, automl_v1beta1, automl
 
 def _make_credentials():
diff --git a/tests/test_bigquery.py b/tests/test_bigquery.py
index cf50da25..2c4ad8bb 100644
--- a/tests/test_bigquery.py
+++ b/tests/test_bigquery.py
@@ -3,7 +3,7 @@
 import json
 from unittest.mock import patch
 import threading
-from test.support import EnvironmentVarGuard
+from test.support.os_helper import EnvironmentVarGuard
 from urllib.parse import urlparse
 
 from http.server import BaseHTTPRequestHandler, HTTPServer
diff --git a/tests/test_bigquery_proxy.py b/tests/test_bigquery_proxy.py
index 0036c912..d9912f2c 100644
--- a/tests/test_bigquery_proxy.py
+++ b/tests/test_bigquery_proxy.py
@@ -3,7 +3,7 @@
 import json
 from unittest.mock import patch
 import threading
-from test.support import EnvironmentVarGuard
+from test.support.os_helper import EnvironmentVarGuard
 from urllib.parse import urlparse
 
 from http.server import BaseHTTPRequestHandler, HTTPServer
diff --git a/tests/test_datasets.py b/tests/test_datasets.py
index 029a4570..a55455f2 100644
--- a/tests/test_datasets.py
+++ b/tests/test_datasets.py
@@ -3,7 +3,7 @@
 import threading
 import unittest
 from http.server import BaseHTTPRequestHandler, HTTPServer
-from test.support import EnvironmentVarGuard
+from test.support.os_helper import EnvironmentVarGuard
 from urllib.parse import urlparse
 
 from kaggle_web_client import (KaggleWebClient,
diff --git a/tests/test_datatable.py b/tests/test_datatable.py
deleted file mode 100644
index ec68ce12..00000000
--- a/tests/test_datatable.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import unittest
-import datatable as dt
-from datatable.internal import frame_integrity_check
-from datatable import ltype
-
-class TestDatatable(unittest.TestCase):    
-    def test_fread(self):
-        d0 = dt.fread(
-            "L,T,U,D\n"
-            "true,True,TRUE,1\n"
-            "false,False,FALSE,0\n"
-            ",,,\n"
-        )
-        frame_integrity_check(d0)
-        assert d0.shape == (3, 4)
-        assert d0.ltypes == (ltype.bool,) * 4
-        assert d0.to_list() == [[True, False, None]] * 4
diff --git a/tests/test_dipy.py b/tests/test_dipy.py
index c1827120..a5c61d9a 100644
--- a/tests/test_dipy.py
+++ b/tests/test_dipy.py
@@ -64,6 +64,6 @@ def test_fbc(self):
             fbc.get_points_rfbc_thresholded(0, emphasis=0.01)
 
         # check mean RFBC against tested value
-        npt.assert_almost_equal(np.mean(rfbc_orig), 1.0500466494329224)
+        npt.assert_almost_equal(np.mean(rfbc_orig), 1.05007085051969)
 
         
diff --git a/tests/test_gcs.py b/tests/test_gcs.py
index 9902a877..eb15ea5f 100644
--- a/tests/test_gcs.py
+++ b/tests/test_gcs.py
@@ -3,7 +3,7 @@
 from unittest.mock import Mock
 
 from kaggle_gcp import KaggleKernelCredentials, init_gcs
-from test.support import EnvironmentVarGuard
+from test.support.os_helper import EnvironmentVarGuard
 from google.cloud import storage
 
 def _make_credentials():
diff --git a/tests/test_jupyterlab_lsp.py b/tests/test_jupyterlab_lsp.py
index 34b8774c..24b8bc1e 100644
--- a/tests/test_jupyterlab_lsp.py
+++ b/tests/test_jupyterlab_lsp.py
@@ -28,4 +28,5 @@ def test_serverextension(self):
                     found_lsp = True
 
         self.assertTrue(found_lsp, "didn't install the /lsp/ route")
+        app.stop()
 
diff --git a/tests/test_kaggle_module_resolver.py b/tests/test_kaggle_module_resolver.py
index ece5a670..ea3e9483 100644
--- a/tests/test_kaggle_module_resolver.py
+++ b/tests/test_kaggle_module_resolver.py
@@ -7,7 +7,7 @@
 import tensorflow_hub as hub
 
 from http.server import BaseHTTPRequestHandler, HTTPServer
-from test.support import EnvironmentVarGuard
+from test.support.os_helper import EnvironmentVarGuard
 
 
 class TestKaggleModuleResolver(unittest.TestCase):
diff --git a/tests/test_natural_language.py b/tests/test_natural_language.py
index e2939013..3586b8de 100644
--- a/tests/test_natural_language.py
+++ b/tests/test_natural_language.py
@@ -4,7 +4,7 @@
 from unittest.mock import Mock, patch
 
 from kaggle_gcp import KaggleKernelCredentials, init_natural_language
-from test.support import EnvironmentVarGuard
+from test.support.os_helper import EnvironmentVarGuard
 from google.cloud import language
 
 def _make_credentials():
diff --git a/tests/test_pycolmap.py b/tests/test_pycolmap.py
deleted file mode 100644
index f74fed2c..00000000
--- a/tests/test_pycolmap.py
+++ /dev/null
@@ -1,13 +0,0 @@
-import unittest
-
-import numpy as np
-import cv2
-import pycolmap
-
-class TestPycolmap(unittest.TestCase):
-    def test_sift(self):
-        img = cv2.cvtColor(cv2.imread('/input/tests/data/face.jpg'), cv2.COLOR_BGR2GRAY)
-        img = img.astype(np.float32)/255.
-        sift = pycolmap.Sift()
-        keypoints, scores, descriptors = sift.extract(img)
-        self.assertEqual(keypoints.shape, (64, 4))
diff --git a/tests/test_pytorch_lightning.py b/tests/test_pytorch_lightning.py
index 24d9f16d..53291067 100644
--- a/tests/test_pytorch_lightning.py
+++ b/tests/test_pytorch_lightning.py
@@ -62,7 +62,7 @@ def test_version(self):
     def test_mnist(self):
         dm = LitDataModule()
         model = LitClassifier()
-        trainer = pl.Trainer(gpus=None, max_epochs=1)
+        trainer = pl.Trainer(max_epochs=1)
         trainer.fit(model, datamodule=dm)
 
         self.assertIn("train_loss", trainer.logged_metrics)
diff --git a/tests/test_sklearn.py b/tests/test_sklearn.py
index d2d4b027..c1237ff5 100644
--- a/tests/test_sklearn.py
+++ b/tests/test_sklearn.py
@@ -12,7 +12,7 @@ def test_random_forest_classifier(self):
         rf1.fit(X,y)
 
     def test_linearn_classifier(self):
-        boston = datasets.load_boston()
-        X, y = boston.data, boston.target
+        iris = datasets.load_iris()
+        X, y = iris.data, iris.target
         lr1 = LinearRegression()
         lr1.fit(X,y)
diff --git a/tests/test_tensorflow_credentials.py b/tests/test_tensorflow_credentials.py
index 628b35c1..b952851c 100644
--- a/tests/test_tensorflow_credentials.py
+++ b/tests/test_tensorflow_credentials.py
@@ -3,7 +3,7 @@
 import os
 import tensorflow_gcs_config
 from unittest.mock import patch
-from test.support import EnvironmentVarGuard
+from test.support.os_helper import EnvironmentVarGuard
 from kaggle_secrets import UserSecretsClient
 
 class TestTensorflowCredentials(unittest.TestCase):
diff --git a/tests/test_theano.py b/tests/test_theano.py
deleted file mode 100644
index 156beb7b..00000000
--- a/tests/test_theano.py
+++ /dev/null
@@ -1,20 +0,0 @@
-import unittest
-
-import theano
-from theano import tensor
-
-class TestTheano(unittest.TestCase):
-    def test_addition(self):
-        # Declare two symbolic floating-point scalars.
-        a = tensor.dscalar()
-        b = tensor.dscalar()
-
-        # Create a simple expression.
-        c = a + b
-
-        # Convert the expression into a callable object that takes (a,b)
-        # values as input and computes a value for 'c'.
-        f = theano.function([a,b], c)
-
-        # Bind 1.5 to 'a', 2.5 to 'b', and evaluate 'c'.
-        self.assertEqual(4.0, f(1.5, 2.5))
diff --git a/tests/test_translation.py b/tests/test_translation.py
index a55132c9..5bb41b62 100644
--- a/tests/test_translation.py
+++ b/tests/test_translation.py
@@ -4,7 +4,7 @@
 from unittest.mock import Mock, patch
 
 from kaggle_gcp import KaggleKernelCredentials, KaggleKernelWithProjetCredentials, init_translation_v2, init_translation_v3
-from test.support import EnvironmentVarGuard
+from test.support.os_helper import EnvironmentVarGuard
 from google.api_core import client_options
 from google.cloud import translate, translate_v2
 
diff --git a/tests/test_ucaip.py b/tests/test_ucaip.py
index 2919bdba..3dfb117b 100644
--- a/tests/test_ucaip.py
+++ b/tests/test_ucaip.py
@@ -3,7 +3,7 @@
 from unittest.mock import Mock
 
 from kaggle_gcp import KaggleKernelCredentials, init_ucaip
-from test.support import EnvironmentVarGuard
+from test.support.os_helper import EnvironmentVarGuard
 
 def _make_credentials():
     import google.auth.credentials
diff --git a/tests/test_user_secrets.py b/tests/test_user_secrets.py
index 606a5c8c..7723e0d0 100644
--- a/tests/test_user_secrets.py
+++ b/tests/test_user_secrets.py
@@ -4,7 +4,7 @@
 import threading
 import unittest
 from http.server import BaseHTTPRequestHandler, HTTPServer
-from test.support import EnvironmentVarGuard
+from test.support.os_helper import EnvironmentVarGuard
 from urllib.parse import urlparse
 from datetime import datetime, timedelta
 import mock
diff --git a/tests/test_user_session.py b/tests/test_user_session.py
index 57f2de8c..7da12e09 100644
--- a/tests/test_user_session.py
+++ b/tests/test_user_session.py
@@ -4,7 +4,7 @@
 import unittest
 
 from http.server import BaseHTTPRequestHandler, HTTPServer
-from test.support import EnvironmentVarGuard
+from test.support.os_helper import EnvironmentVarGuard
 from urllib.parse import urlparse
 from kaggle_session import UserSessionClient
 from kaggle_web_client import (_KAGGLE_URL_BASE_ENV_VAR_NAME,
diff --git a/tests/test_video_intelligence.py b/tests/test_video_intelligence.py
index 15267c85..564d947e 100644
--- a/tests/test_video_intelligence.py
+++ b/tests/test_video_intelligence.py
@@ -4,7 +4,7 @@
 from unittest.mock import Mock, patch
 
 from kaggle_gcp import KaggleKernelCredentials, init_video_intelligence
-from test.support import EnvironmentVarGuard
+from test.support.os_helper import EnvironmentVarGuard
 from google.cloud import videointelligence
 
 def _make_credentials():
diff --git a/tests/test_vision.py b/tests/test_vision.py
index 5fc112bf..d9d2d160 100644
--- a/tests/test_vision.py
+++ b/tests/test_vision.py
@@ -4,7 +4,7 @@
 from unittest.mock import Mock, patch
 
 from kaggle_gcp import KaggleKernelCredentials, init_vision
-from test.support import EnvironmentVarGuard
+from test.support.os_helper import EnvironmentVarGuard
 from google.cloud import vision
 
 def _make_credentials():

From 1aed377c18cf17ba37c3e132f72a0643db4fbfab Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Thu, 16 Mar 2023 17:09:36 -0400
Subject: [PATCH 1356/1660] TPU VM tf2.12

http://b/273529732
---
 tpu/config.txt | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/tpu/config.txt b/tpu/config.txt
index 642b32fe..664afcf1 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -1,5 +1,5 @@
-TENSORFLOW_VERSION=2.11.0
-TF_LIBTPU_VERSION=1.5.0
+TENSORFLOW_VERSION=2.12.0
+TF_LIBTPU_VERSION=1.6.0
 JAX_VERSION=0.4.6
 # Supports nightly
 TORCH_VERSION=2.0.0

From 46ca5e657c78ece9ed249b450cb57fe6c5a79b33 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Fri, 17 Mar 2023 11:58:04 -0400
Subject: [PATCH 1357/1660] Unpin kornia, as the last version is necessary for
 a coming competition (#1229)

http://b/198300835
---
 Dockerfile.tmpl      | 5 ++---
 tests/test_kornia.py | 4 ++--
 2 files changed, 4 insertions(+), 5 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 08f7ac07..29b32088 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -201,7 +201,7 @@ RUN pip install pysal \
 
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
-    # b/198300835 kornia 4.1.0 is not compatible with our version of numpy.
+    # b/198300835 gensim 4.1.0 is not compatible with our version of numpy.
     pip install gensim==4.0.1 \
         textblob \
         wordcloud \
@@ -449,8 +449,7 @@ RUN pip install bleach \
         papermill \
         python-lsp-server[all] \
         olefile \
-        # b/198300835 kornia 0.5.10 is not compatible with our version of numpy.
-        kornia==0.5.8 \
+        kornia \
         pandas_summary \
         pandocfilters \
         pexpect \
diff --git a/tests/test_kornia.py b/tests/test_kornia.py
index dcbbf3cc..dd41d16d 100644
--- a/tests/test_kornia.py
+++ b/tests/test_kornia.py
@@ -7,13 +7,13 @@
 class TestKornia(unittest.TestCase):
     def test_imread_opencv(self):
         img = cv2.imread('/input/tests/data/dot.png')
-        img_t = kornia.image_to_tensor(img)
+        img_t = kornia.utils.image_to_tensor(img)
 
         self.assertEqual(img.shape, (1, 1, 3))
         self.assertEqual(img_t.shape, (3, 1, 1))
 
     def test_grayscale_torch(self):
         img_rgb = torch.rand(2, 3, 4, 5)
-        img_gray = kornia.rgb_to_grayscale(img_rgb)
+        img_gray = kornia.color.rgb_to_grayscale(img_rgb)
 
         self.assertEqual(img_gray.shape, (2, 1, 4, 5))

From 4fccb8b8ec8114b57fbddfc2e1c50ee078694ab3 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Fri, 17 Mar 2023 14:35:43 -0400
Subject: [PATCH 1358/1660] Unpin gensim (#1233)

http://b/198300835
---
 Dockerfile.tmpl | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 29b32088..9ca2ba86 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -201,8 +201,7 @@ RUN pip install pysal \
 
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
-    # b/198300835 gensim 4.1.0 is not compatible with our version of numpy.
-    pip install gensim==4.0.1 \
+    pip install gensim \
         textblob \
         wordcloud \
         xgboost \

From a3bbfe4121795e757906f4a1a89eda97789bba24 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 20 Mar 2023 16:32:07 -0400
Subject: [PATCH 1359/1660] Default tensorflow to the TPU VM

---
 tpu/Dockerfile | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index a6af6975..fc879e61 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -64,6 +64,9 @@ RUN pip install papermill jupyterlab python-lsp-server[all] jupyterlab-lsp
 # Additional useful packages should be added here:
 RUN pip install pandas
 
+# Monkey-patch the default TPU to the local (TPU VM).
+RUN sed -i 's/def connect(tpu=None,/def connect(tpu="local",/' /usr/local/lib/python3.8/site-packages/tensorflow/python/distribute/cluster_resolver/tpu/tpu_cluster_resolver.py
+
 # Set these env vars so that they don't produce errs calling the metadata server to load them:
 ENV TPU_ACCELERATOR_TYPE=v3-8
 ENV TPU_PROCESS_ADDRESSES=local

From 17eac32a103beb5aa2844a9180ea0d70b9135b12 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 20 Mar 2023 16:34:42 -0400
Subject: [PATCH 1360/1660] Add matplotlib for tpus

---
 tpu/Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index fc879e61..980d23a0 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -62,7 +62,7 @@ RUN pip install numpy==1.24.2 jax[tpu]==${JAX_VERSION} -f https://storage.google
 RUN pip install papermill jupyterlab python-lsp-server[all] jupyterlab-lsp
 
 # Additional useful packages should be added here:
-RUN pip install pandas
+RUN pip install pandas matplotlib
 
 # Monkey-patch the default TPU to the local (TPU VM).
 RUN sed -i 's/def connect(tpu=None,/def connect(tpu="local",/' /usr/local/lib/python3.8/site-packages/tensorflow/python/distribute/cluster_resolver/tpu/tpu_cluster_resolver.py

From b25a5fc9e16b12209579da97c186f22437e3fc31 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 21 Mar 2023 11:48:52 -0400
Subject: [PATCH 1361/1660] KaggleDatasets.get_gcs_path supports TPU VM
 directly

http://b/273529732
---
 patches/kaggle_datasets.py | 17 +++++++++++++++++
 1 file changed, 17 insertions(+)

diff --git a/patches/kaggle_datasets.py b/patches/kaggle_datasets.py
index f5134673..e60db2ef 100644
--- a/patches/kaggle_datasets.py
+++ b/patches/kaggle_datasets.py
@@ -1,7 +1,12 @@
 import os
+import sys
+from os import listdir
+from os.path import isdir, join
 from kaggle_web_client import KaggleWebClient
 
 _KAGGLE_TPU_NAME_ENV_VAR_NAME = 'TPU_NAME'
+_KAGGLE_TPUVM_NAME_ENV_VAR_NAME = 'ISTPUVM'
+_KAGGLE_INPUT_DIR = '/kaggle/input'
 
 class KaggleDatasets:
     GET_GCS_PATH_ENDPOINT = '/requests/CopyDatasetVersionToKnownGcsBucketRequest'
@@ -14,8 +19,20 @@ class KaggleDatasets:
     def __init__(self):
         self.web_client = KaggleWebClient()
         self.has_tpu = os.getenv(_KAGGLE_TPU_NAME_ENV_VAR_NAME) is not None
+        self.has_tpuvm =  os.getenv(_KAGGLE_TPUVM_NAME_ENV_VAR_NAME) is not None
 
     def get_gcs_path(self, dataset_dir: str = None) -> str:
+        if self.has_tpuvm:
+            if dataset_dir is None:
+                onlydirs = [f for f in listdir(_KAGGLE_INPUT_DIR) if isdir(join(_KAGGLE_INPUT_DIR, f))]
+                if len(onlydirs) == 1:
+                    dataset_dir = onlydirs[0]
+                else:
+                    raise Exception("Could not infer dataset_dir. dataset_dir can only be inferred if there is exactly 1 Kaggle dataset attached.")
+            dataset = join(_KAGGLE_INPUT_DIR, dataset_dir)
+            print("get_gcs_path is not required on TPU VMs which can directly use Kaggle datasets, using path: " + dataset, file=sys.stderr)
+            return dataset
+
         integration_type = self.TPU if self.has_tpu else self.AUTO_ML
         data = {
             'MountSlug': dataset_dir,

From 65c0de674c402c3f58905eb2a307840e7b7ef365 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 21 Mar 2023 14:04:52 -0400
Subject: [PATCH 1362/1660] Pin nbconvert for learntools

http://b/274619697
---
 Dockerfile.tmpl | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 9ca2ba86..105e0ca4 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -418,6 +418,7 @@ RUN pip install annoy \
     /tmp/clean-layer.sh
 
 # b/273059949 The pre-installed nbconvert is slow on html conversions and has to be force-uninstalled.
+# b/274619697 learntools also requires a specific nbconvert right now
 RUN rm -rf /opt/conda/lib/python3.7/site-packages/nbconvert*
 RUN rm -rf /opt/conda/lib/python3.7/site-packages/mistune*
 
@@ -444,7 +445,7 @@ RUN pip install bleach \
         mistune \
         nbformat \
         notebook \
-        "nbconvert<7" \
+        "nbconvert==6.4.5" \
         papermill \
         python-lsp-server[all] \
         olefile \

From 774f8dce44ec3feb3a293e3614b10ab166d7366d Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Thu, 23 Mar 2023 12:44:40 -0400
Subject: [PATCH 1363/1660] TPU VM prevent tensorflow/numpy downgrades

---
 tpu/Dockerfile | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 980d23a0..90faf33a 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -46,7 +46,9 @@ ENV PYTORCH_LIBTPU=/lib/torch-libtpu.so
 # https://cloud.google.com/tpu/docs/pytorch-xla-ug-tpu-vm#changing_pytorch_version
 # The URL doesn't include patch version. i.e. must use 1.11 instead of 1.11.0
 # We need to keep the numpy version the same as the installed tf one but compatible with other installs.
-RUN pip install numpy==1.24.2 torch==${TORCH_VERSION} torch_xla[tpuvm] -f https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-${TORCH_VERSION%.*}-cp38-cp38-linux_x86_64.whl torchvision==${TORCHVISION_VERSION} torchtext==${TORCHTEXT_VERSION} torchaudio==${TORCHAUDIO_VERSION}
+RUN pip install torch==${TORCH_VERSION} torch_xla[tpuvm] -f https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-${TORCH_VERSION%.*}-cp38-cp38-linux_x86_64.whl torchvision==${TORCHVISION_VERSION} torchtext==${TORCHTEXT_VERSION} torchaudio==${TORCHAUDIO_VERSION} \
+    https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl \
+    numpy==1.23.5
 
 RUN cp $PIP_LIBTPU $PYTORCH_LIBTPU
 
@@ -56,7 +58,9 @@ RUN sed -i "s|^\(\(.*\)libtpu.configure_library_path.*\)|\1\n\2os.environ['TPU_L
 # Install JAX & related packages
 # https://cloud.google.com/tpu/docs/jax-quickstart-tpu-vm#install_jax_on_your_cloud_tpu_vm
 # We need to keep the numpy version the same as the installed tf one but compatible with other installs.
-RUN pip install numpy==1.24.2 jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax elegy git+https://github.com/deepmind/dm-haiku jraph distrax
+RUN pip install jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax elegy git+https://github.com/deepmind/dm-haiku jraph distrax \
+    https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl \
+    numpy==1.23.5
 
 # Packages needed by the Notebook editor:
 RUN pip install papermill jupyterlab python-lsp-server[all] jupyterlab-lsp

From 9daeff60f65afb22fc8688107c81e2bdf612690d Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 27 Mar 2023 15:18:29 -0400
Subject: [PATCH 1364/1660] Try moving tpu tf install to end

---
 tpu/Dockerfile | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 90faf33a..b5dd5793 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -31,13 +31,6 @@ ADD patches/kaggle_datasets.py /root/.local/lib/python3.8/site-packages/kaggle_d
 # sitecustomize adds significant latency to ipython kernel startup and should only be added if needed
 # ADD patches/sitecustomize.py /root/.local/lib/python3.8/site-packages/sitecustomize.py
 
-# Tensorflow wheel:
-RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl
-RUN curl --output /lib/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/${TF_LIBTPU_VERSION}/libtpu.so
-ADD patches/kaggle_module_resolver.py /usr/local/lib/python3.8/site-packages/tensorflow_hub/kaggle_module_resolver.py
-RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py
-RUN sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py
-
 # LIBTPU installed here:
 ENV PIP_LIBTPU=/usr/local/lib/python3.8/site-packages/libtpu/libtpu.so
 ENV PYTORCH_LIBTPU=/lib/torch-libtpu.so
@@ -62,6 +55,13 @@ RUN pip install jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-r
     https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl \
     numpy==1.23.5
 
+# Tensorflow wheel:
+RUN pip install --force-reinstall tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl
+RUN curl --output /lib/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/${TF_LIBTPU_VERSION}/libtpu.so
+ADD patches/kaggle_module_resolver.py /usr/local/lib/python3.8/site-packages/tensorflow_hub/kaggle_module_resolver.py
+RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py
+RUN sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py
+
 # Packages needed by the Notebook editor:
 RUN pip install papermill jupyterlab python-lsp-server[all] jupyterlab-lsp
 

From 3f7e68f2975da47085e1f852ddabf2ba9e2c2927 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 28 Mar 2023 13:33:33 -0400
Subject: [PATCH 1365/1660] Support more TPU VM connection modes

---
 tpu/Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index b5dd5793..f51273d1 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -69,7 +69,7 @@ RUN pip install papermill jupyterlab python-lsp-server[all] jupyterlab-lsp
 RUN pip install pandas matplotlib
 
 # Monkey-patch the default TPU to the local (TPU VM).
-RUN sed -i 's/def connect(tpu=None,/def connect(tpu="local",/' /usr/local/lib/python3.8/site-packages/tensorflow/python/distribute/cluster_resolver/tpu/tpu_cluster_resolver.py
+RUN sed -i 's/tpu=None,/tpu="local",/' /usr/local/lib/python3.8/site-packages/tensorflow/python/distribute/cluster_resolver/tpu/tpu_cluster_resolver.py
 
 # Set these env vars so that they don't produce errs calling the metadata server to load them:
 ENV TPU_ACCELERATOR_TYPE=v3-8

From aecfe946db38764520cb84ea74ae4b5dd8ff87cb Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 28 Mar 2023 13:55:03 -0400
Subject: [PATCH 1366/1660] Move tf back

---
 tpu/Dockerfile | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index f51273d1..db381871 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -35,6 +35,13 @@ ADD patches/kaggle_datasets.py /root/.local/lib/python3.8/site-packages/kaggle_d
 ENV PIP_LIBTPU=/usr/local/lib/python3.8/site-packages/libtpu/libtpu.so
 ENV PYTORCH_LIBTPU=/lib/torch-libtpu.so
 
+# Tensorflow wheel:
+RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl
+RUN curl --output /lib/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/${TF_LIBTPU_VERSION}/libtpu.so
+ADD patches/kaggle_module_resolver.py /usr/local/lib/python3.8/site-packages/tensorflow_hub/kaggle_module_resolver.py
+RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py
+RUN sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py
+
 # Install Pytorch & related packages
 # https://cloud.google.com/tpu/docs/pytorch-xla-ug-tpu-vm#changing_pytorch_version
 # The URL doesn't include patch version. i.e. must use 1.11 instead of 1.11.0
@@ -55,13 +62,6 @@ RUN pip install jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-r
     https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl \
     numpy==1.23.5
 
-# Tensorflow wheel:
-RUN pip install --force-reinstall tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl
-RUN curl --output /lib/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/${TF_LIBTPU_VERSION}/libtpu.so
-ADD patches/kaggle_module_resolver.py /usr/local/lib/python3.8/site-packages/tensorflow_hub/kaggle_module_resolver.py
-RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py
-RUN sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py
-
 # Packages needed by the Notebook editor:
 RUN pip install papermill jupyterlab python-lsp-server[all] jupyterlab-lsp
 

From f8978642dca14b1ba8e0852c411307bd548bdcf0 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Thu, 30 Mar 2023 22:54:10 -0400
Subject: [PATCH 1367/1660] Install specific version of boto3, because 1.26.103
 is broken (#1237)

http://b/276344496
---
 Dockerfile.tmpl | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 105e0ca4..62c9097b 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -55,6 +55,10 @@ ADD clean-layer.sh  /tmp/clean-layer.sh
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
 ADD patches/template_conf.json /opt/kaggle/conf.json
 
+# b/276344496: Install specific version of boto3, because 1.26.103 is broken.
+RUN pip install boto3==1.26.100 && \
+    /tmp/clean-layer.sh
+
 {{ if eq .Accelerator "gpu" }}
 # b/200968891 Keeps horovod once torch is upgraded.
 RUN pip uninstall -y horovod && \

From 13ca3090db6221c7d6ee204834ec9fd9e4dfc78b Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 3 Apr 2023 09:42:36 -0400
Subject: [PATCH 1368/1660] Update base image for py3.10

---
 config.txt | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/config.txt b/config.txt
index c0ccbec8..ef8774d6 100644
--- a/config.txt
+++ b/config.txt
@@ -1,6 +1,6 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
-BASE_IMAGE_TAG=m103
-CPU_BASE_IMAGE_NAME=tf2-cpu.2-11
+BASE_IMAGE_TAG=m105
+CPU_BASE_IMAGE_NAME=tf2-cpu.2-11.py310
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-11
 LIGHTGBM_VERSION=3.3.2
 TORCH_VERSION=1.13.0

From 0ef9f1433b3caa3c9a3616594c5326ffabd21054 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 3 Apr 2023 11:17:12 -0400
Subject: [PATCH 1369/1660] Fix lsp on TPU VMs

http://b/276358430
---
 tpu/Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index db381871..dc064b98 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -63,7 +63,7 @@ RUN pip install jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-r
     numpy==1.23.5
 
 # Packages needed by the Notebook editor:
-RUN pip install papermill jupyterlab python-lsp-server[all] jupyterlab-lsp
+RUN pip install papermill jupyterlab python-lsp-server[all] "jupyter-lsp==1.5.1"
 
 # Additional useful packages should be added here:
 RUN pip install pandas matplotlib

From 4a7140171e2eeec64f045f29f38df7962bac4ecb Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 3 Apr 2023 11:19:31 -0400
Subject: [PATCH 1370/1660] Add py3.10 to GPU image

---
 config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/config.txt b/config.txt
index ef8774d6..b4104cda 100644
--- a/config.txt
+++ b/config.txt
@@ -1,7 +1,7 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
 BASE_IMAGE_TAG=m105
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-11.py310
-GPU_BASE_IMAGE_NAME=tf2-gpu.2-11
+GPU_BASE_IMAGE_NAME=tf2-gpu.2-11.py310
 LIGHTGBM_VERSION=3.3.2
 TORCH_VERSION=1.13.0
 TORCHAUDIO_VERSION=0.13.0

From 0be5cc41f4d2e90c1806aaea65cd0cf677829322 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Mon, 3 Apr 2023 19:01:33 +0000
Subject: [PATCH 1371/1660] m105 contains multiple cuda versions, select the
 one we are building against

---
 Dockerfile.tmpl              | 2 ++
 Jenkinsfile                  | 7 ++++++-
 packages/lightgbm.Dockerfile | 5 +++++
 packages/torch.Dockerfile    | 3 +++
 4 files changed, 16 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 371c309b..54d24d41 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -25,6 +25,8 @@ ARG CUDA_MAJOR_VERSION
 ARG CUDA_MINOR_VERSION
 ENV CUDA_MAJOR_VERSION=${CUDA_MAJOR_VERSION}
 ENV CUDA_MINOR_VERSION=${CUDA_MINOR_VERSION}
+# Make sure we are on the right version of CUDA
+RUN update-alternatives --set cuda /usr/local/cuda-$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION
 # NVIDIA binaries from the host are mounted to /opt/bin.
 ENV PATH=/opt/bin:${PATH}
 # Add CUDA stubs to LD_LIBRARY_PATH to support building the GPU image on a CPU machine.
diff --git a/Jenkinsfile b/Jenkinsfile
index ceb48a2f..4155233a 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -52,7 +52,12 @@ pipeline {
               set -exo pipefail
               source config.txt
               cd packages/
-              ./build_package --base-image $BASE_IMAGE_REPO/$GPU_BASE_IMAGE_NAME:$BASE_IMAGE_TAG --package lightgbm --version $LIGHTGBM_VERSION --push
+              ./build_package --base-image $BASE_IMAGE_REPO/$GPU_BASE_IMAGE_NAME:$BASE_IMAGE_TAG \
+                --package lightgbm \
+                --version $LIGHTGBM_VERSION \
+                --build-arg CUDA_MAJOR_VERSION=$CUDA_MAJOR_VERSION \
+                --build-arg CUDA_MINOR_VERSION=$CUDA_MINOR_VERSION \
+                --push
             '''
           }
         }
diff --git a/packages/lightgbm.Dockerfile b/packages/lightgbm.Dockerfile
index 5525b816..0d0f2eea 100644
--- a/packages/lightgbm.Dockerfile
+++ b/packages/lightgbm.Dockerfile
@@ -3,6 +3,11 @@ ARG BASE_IMAGE
 FROM ${BASE_IMAGE} AS builder
 
 ARG PACKAGE_VERSION
+ARG CUDA_MAJOR_VERSION
+ARG CUDA_MINOR_VERSION
+
+# Make sure we are on the right version of CUDA
+RUN update-alternatives --set cuda /usr/local/cuda-$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION
 
 # Build instructions: https://lightgbm.readthedocs.io/en/latest/GPU-Tutorial.html#build-lightgbm
 RUN apt-get update && \
diff --git a/packages/torch.Dockerfile b/packages/torch.Dockerfile
index 555fff6c..57e8f503 100644
--- a/packages/torch.Dockerfile
+++ b/packages/torch.Dockerfile
@@ -9,6 +9,9 @@ ARG TORCHVISION_VERSION
 ARG CUDA_MAJOR_VERSION
 ARG CUDA_MINOR_VERSION
 
+# Make sure we are on the right version of CUDA
+RUN update-alternatives --set cuda /usr/local/cuda-$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION
+
 # TORCHVISION_VERSION is mandatory
 RUN test -n "$TORCHVISION_VERSION"
 

From ae7219193e76cb5d9dcd1fea3ea80adba7018559 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Tue, 4 Apr 2023 13:42:12 +0000
Subject: [PATCH 1372/1660] fix paths py3.7 => py3.10

---
 Dockerfile.tmpl | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 54d24d41..a882e31a 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -430,8 +430,8 @@ RUN pip install annoy \
 
 # b/273059949 The pre-installed nbconvert is slow on html conversions and has to be force-uninstalled.
 # b/274619697 learntools also requires a specific nbconvert right now
-RUN rm -rf /opt/conda/lib/python3.7/site-packages/nbconvert*
-RUN rm -rf /opt/conda/lib/python3.7/site-packages/mistune*
+RUN rm -rf /opt/conda/lib/python3.10/site-packages/nbconvert*
+RUN rm -rf /opt/conda/lib/python3.10/site-packages/mistune*
 
 # Fix qgrid by pinning ipywidgets https://github.com/quantopian/qgrid/issues/376
 #        allennlp \

From d60bafa84a7cbb09c8daf3b014c675a23677f527 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Tue, 4 Apr 2023 14:29:41 +0000
Subject: [PATCH 1373/1660] fix nbclient removal

---
 Dockerfile.tmpl | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index a882e31a..89f0648e 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -431,6 +431,7 @@ RUN pip install annoy \
 # b/273059949 The pre-installed nbconvert is slow on html conversions and has to be force-uninstalled.
 # b/274619697 learntools also requires a specific nbconvert right now
 RUN rm -rf /opt/conda/lib/python3.10/site-packages/nbconvert*
+RUN rm -rf /opt/conda/lib/python3.10/site-packages/nbclient*
 RUN rm -rf /opt/conda/lib/python3.10/site-packages/mistune*
 
 # Fix qgrid by pinning ipywidgets https://github.com/quantopian/qgrid/issues/376

From 390f428d47b70ba571bf46d37b3b8b70f5ac8857 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Tue, 4 Apr 2023 20:09:16 +0000
Subject: [PATCH 1374/1660] fix jax gpu install and lsp install

---
 Dockerfile.tmpl | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 89f0648e..c56664d9 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -152,7 +152,7 @@ RUN pip install lightgbm==$LIGHTGBM_VERSION && \
 
 # Install JAX
 {{ if eq .Accelerator "gpu" }}
-RUN pip install jax[cuda11_cudnn805] -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html && \
+RUN pip install "jax[cuda11_pip]" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html && \
     /tmp/clean-layer.sh
 {{ else }}
 RUN pip install jax[cpu] && \
@@ -661,6 +661,9 @@ RUN rm /opt/conda/bin/../lib/libcusolver.so.11 && ln -s /usr/local/cuda/lib64/li
 # b/270147159 conda ships with a version of libtinfo which is missing version info causing warnings, replace it with a good version.
 RUN rm /opt/conda/lib/libtinfo.so.6 && ln -s /usr/lib/x86_64-linux-gnu/libtinfo.so.6 /opt/conda/lib/libtinfo.so.6
 
+# b/276358430 fix Jupyter lsp freezing up the jupyter server
+RUN pip install "jupyter-lsp==1.5.1"
+
 # Set backend for matplotlib
 ENV MPLBACKEND "agg"
 

From 11f84d24711037c693822e4546efd59537736d01 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 5 Apr 2023 12:32:42 -0400
Subject: [PATCH 1375/1660] test is reporting the old number is working again

---
 tests/test_dipy.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/test_dipy.py b/tests/test_dipy.py
index a5c61d9a..c1827120 100644
--- a/tests/test_dipy.py
+++ b/tests/test_dipy.py
@@ -64,6 +64,6 @@ def test_fbc(self):
             fbc.get_points_rfbc_thresholded(0, emphasis=0.01)
 
         # check mean RFBC against tested value
-        npt.assert_almost_equal(np.mean(rfbc_orig), 1.05007085051969)
+        npt.assert_almost_equal(np.mean(rfbc_orig), 1.0500466494329224)
 
         

From 27dba3477746b94610e309b5ac4ae4c755c568d5 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Wed, 5 Apr 2023 16:44:16 +0000
Subject: [PATCH 1376/1660] fix AttributeError: module 'importlib' has no
 attribute 'abc' via directly installing it

---
 patches/sitecustomize.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index d01f3845..2f621f7d 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -3,6 +3,7 @@
 from log import Log
 
 import sys
+import importlib.abc
 import importlib
 import importlib.machinery
 

From ef74bdb42b3bddffdae3c707126d2a434e8d3c42 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Wed, 5 Apr 2023 17:11:09 +0000
Subject: [PATCH 1377/1660] remove mxnet, gluonnlp

---
 Dockerfile.tmpl     | 12 ------------
 tests/test_mxnet.py | 37 -------------------------------------
 2 files changed, 49 deletions(-)
 delete mode 100644 tests/test_mxnet.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index c56664d9..6c806ff8 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -159,16 +159,6 @@ RUN pip install jax[cpu] && \
     /tmp/clean-layer.sh
 {{ end }}
 
-# Install mxnet
-{{ if eq .Accelerator "gpu" }}
-# No specific package for 11.3 minor versions, using 11.2 instead.
-RUN pip install mxnet-cu112 && \
-    /tmp/clean-layer.sh
-{{ else }}
-RUN pip install mxnet && \
-    /tmp/clean-layer.sh
-{{ end}}
-
 # Install spacy
 {{ if eq .Accelerator "gpu" }}
 RUN pip install spacy[cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION] && \
@@ -240,10 +230,8 @@ RUN apt-get install -y libfreetype6-dev && \
     /tmp/clean-layer.sh
 
 RUN pip install ibis-framework && \
-    pip install gluonnlp && \
     # b/212703016 4.5.4.62 segfault with readtext.
     pip install opencv-contrib-python==4.5.4.60 opencv-python==4.5.4.60 && \
-    pip install gluoncv && \
     /tmp/clean-layer.sh
 
 RUN pip install scipy \
diff --git a/tests/test_mxnet.py b/tests/test_mxnet.py
deleted file mode 100644
index 59a3914e..00000000
--- a/tests/test_mxnet.py
+++ /dev/null
@@ -1,37 +0,0 @@
-import unittest
-from common import gpu_test
-
-import mxnet as mx
-from gluonnlp import Vocab
-from gluonnlp.data import count_tokens
-
-from gluoncv.data.transforms.image import imresize
-
-
-class TestMxNet(unittest.TestCase):
-    def test_array(self):    
-        x = mx.nd.array([[1, 2, 3], [4, 5, 6]])
-
-        self.assertEqual((2, 3), x.shape)
-
-    @gpu_test
-    def test_array_gpu(self):
-        x = mx.nd.array([2, 2, 2], ctx=mx.gpu(0))
-        y = mx.nd.array([1, 1, 1], ctx=mx.gpu(0))
-        self.assertEqual(3, ((x - y).sum().asscalar()))
-
-    def test_gluon_nlp(self):
-        # get corpus statistics
-        counter = count_tokens(['alpha', 'beta', 'gamma', 'beta'])
-        # create Vocab
-        vocab = Vocab(counter)
-        # find index based on token
-        self.assertEqual(4, vocab['beta'])
-
-    def test_gluon_cv(self):
-        # create fake RGB image of 300x300 of shape: Height x Width x Channel as OpenCV expects
-        img = mx.random.uniform(0, 255, (300, 300, 3)).astype('uint8')
-        # resize image to 200x200. This call uses OpenCV
-        # GluonCV is not of much use if OpenCV is not there or fails
-        img = imresize(img, 200, 200)
-        self.assertEqual((200, 200, 3), img.shape)

From e74cf38ecd2099c9d649663604ef6f38d22b51ba Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 5 Apr 2023 14:55:52 -0400
Subject: [PATCH 1378/1660] attempt fixing jax

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 6c806ff8..e4da3947 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -152,7 +152,7 @@ RUN pip install lightgbm==$LIGHTGBM_VERSION && \
 
 # Install JAX
 {{ if eq .Accelerator "gpu" }}
-RUN pip install "jax[cuda11_pip]" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html && \
+RUN pip install "jax[cuda11_cudnn82]" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html && \
     /tmp/clean-layer.sh
 {{ else }}
 RUN pip install jax[cpu] && \

From 9220d6ea186db93d13bb7def85aac0285e7681ac Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Thu, 6 Apr 2023 17:01:19 +0000
Subject: [PATCH 1379/1660] remove commented out packages

---
 Dockerfile.tmpl | 18 ------------------
 1 file changed, 18 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index e4da3947..19fa4324 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -120,9 +120,6 @@ RUN mamba install -c pytorch magma-cuda${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION
     pip install /tmp/torch/*.whl && \
     # b/255757999 openmp (libomp.so) is an dependency of libtorchtext and libtorchaudio but
     mamba install -y openmp && \
-    #pip install patchelf && \
-    #patchelf --add-needed libomp.so /opt/conda/lib/python3.10/site-packages/torchtext/lib/libtorchtext.so && \
-    #patchelf --add-needed libomp.so /opt/conda/lib/python3.10/site-packages/torchaudio/lib/libtorchaudio.so && \
     rm -rf /tmp/torch && \
     /tmp/clean-layer.sh
 {{ else }}
@@ -197,7 +194,6 @@ RUN pip install pysal \
 
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
-    # b/198300835 kornia 4.1.0 is not compatible with our version of numpy.
     pip install gensim \
         textblob \
         wordcloud \
@@ -259,12 +255,6 @@ RUN pip install scipy \
     apt-get install -y pandoc && \
     pip install essentia
 
-# http://go/roole/git_clone_github.md
-#RUN git config --global --add url.https://github.com/.insteadOf git://github.com/ && \
-#     git clone git://github.com/scikit-learn-contrib/py-earth.git && \
-#        cd py-earth && \
-#        python setup.py install
-
 RUN apt-get install -y git-lfs && \
     /tmp/clean-layer.sh
 
@@ -287,8 +277,6 @@ RUN pip install mpld3 \
         preprocessing \
         path.py \
         Geohash && \
-    # https://github.com/vinsci/geohash/issues/4
-    #sed -i -- 's/geohash/.geohash/g' /opt/conda/lib/python3.10/site-packages/Geohash/__init__.py && \
     pip install deap \
         tpot \
         scikit-optimize \
@@ -343,7 +331,6 @@ RUN pip install mpld3 \
         cleverhans \
         leven \
         catboost \
-        #lightfm \
         folium \
         scikit-plot \
         fury dipy \
@@ -375,9 +362,6 @@ RUN pip install tensorpack && \
 
 
 
-# Remove files that can't be uninstalled normally:
-#RUN rm /opt/conda/lib/python3.10/site-packages/google*/REQUESTED
-#RUN rm /opt/conda/lib/python3.10/site-packages/google*/direct_url.json
 # install cython & cysignals before pyfasttext
 RUN pip install cython \
         cysignals \
@@ -476,7 +460,6 @@ RUN pip install bleach \
         pyarrow \
         feather-format \
         fastai
-#RUN pip install "importlib-metadata==6.0.0"
 RUN python -m spacy download en_core_web_sm && python -m spacy download en_core_web_lg && \
     apt-get install -y ffmpeg && \
     /tmp/clean-layer.sh
@@ -550,7 +533,6 @@ RUN pip install pytorch-ignite \
         pydegensac \
         torchmetrics \
         pytorch-lightning \
-        #datatable \
         sympy \
         # flask is used by agents in the simulation competitions.
         flask \

From ed4c52a50feb77a4d75b1bf438e033b73fdb024c Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Thu, 6 Apr 2023 17:17:37 +0000
Subject: [PATCH 1380/1660] Install pycolmap for py3.10

http://b/273574631
---
 Dockerfile.tmpl        |  3 +++
 tests/test_pycolmap.py | 13 +++++++++++++
 2 files changed, 16 insertions(+)
 create mode 100644 tests/test_pycolmap.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 19fa4324..415776b3 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -549,6 +549,9 @@ RUN pip install pytorch-ignite \
         torchinfo && \
     /tmp/clean-layer.sh
 
+# Install pycolmap for py3.10 (only the conda version works).
+RUN mamba install -y pycolmap
+
 # Download base easyocr models.
 # https://github.com/JaidedAI/EasyOCR#usage
 RUN mkdir -p /root/.EasyOCR/model && \
diff --git a/tests/test_pycolmap.py b/tests/test_pycolmap.py
new file mode 100644
index 00000000..f824cd51
--- /dev/null
+++ b/tests/test_pycolmap.py
@@ -0,0 +1,13 @@
+import unittest
+
+import numpy as np
+import cv2
+import pycolmap
+
+class TestPycolmap(unittest.TestCase):
+    def test_sift(self):
+        img = cv2.cvtColor(cv2.imread('/input/tests/data/face.jpg'), cv2.COLOR_BGR2GRAY)
+        img = img.astype(np.float32)/255.
+        sift = pycolmap.Sift()
+        keypoints, scores, descriptors = sift.extract(img)
+        self.assertEqual(keypoints.shape, (64, 4))
\ No newline at end of file

From 972e5eab1e82f15352291e7fd597907544507fb8 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Thu, 6 Apr 2023 15:25:12 -0400
Subject: [PATCH 1381/1660] only require 4 digits of precision in this test

On my local machine, its actually getting different results after 5 digits of precision, so I'm guessing that the result is processor dependent due to fp operations.

http://b/277236655
---
 tests/test_dipy.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/test_dipy.py b/tests/test_dipy.py
index c1827120..6e5f8b33 100644
--- a/tests/test_dipy.py
+++ b/tests/test_dipy.py
@@ -64,6 +64,6 @@ def test_fbc(self):
             fbc.get_points_rfbc_thresholded(0, emphasis=0.01)
 
         # check mean RFBC against tested value
-        npt.assert_almost_equal(np.mean(rfbc_orig), 1.0500466494329224)
+        npt.assert_almost_equal(np.mean(rfbc_orig), 1.0500466494329224, decimal=4)
 
         

From e774dea3c0180242f1115e278e5a8abc39a7d71e Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 10 Apr 2023 15:05:12 -0400
Subject: [PATCH 1382/1660] TPU VM: add a few packages, cleanup torch-xla
 install

http://b/262381350
---
 tpu/Dockerfile | 12 ++++--------
 1 file changed, 4 insertions(+), 8 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index dc064b98..ad59618c 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -36,7 +36,8 @@ ENV PIP_LIBTPU=/usr/local/lib/python3.8/site-packages/libtpu/libtpu.so
 ENV PYTORCH_LIBTPU=/lib/torch-libtpu.so
 
 # Tensorflow wheel:
-RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl
+RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl \
+    tensorflow-addons tensorflow-probability tensorflow-io==0.32.0
 RUN curl --output /lib/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/${TF_LIBTPU_VERSION}/libtpu.so
 ADD patches/kaggle_module_resolver.py /usr/local/lib/python3.8/site-packages/tensorflow_hub/kaggle_module_resolver.py
 RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py
@@ -46,15 +47,10 @@ RUN sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementa
 # https://cloud.google.com/tpu/docs/pytorch-xla-ug-tpu-vm#changing_pytorch_version
 # The URL doesn't include patch version. i.e. must use 1.11 instead of 1.11.0
 # We need to keep the numpy version the same as the installed tf one but compatible with other installs.
-RUN pip install torch==${TORCH_VERSION} torch_xla[tpuvm] -f https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-${TORCH_VERSION%.*}-cp38-cp38-linux_x86_64.whl torchvision==${TORCHVISION_VERSION} torchtext==${TORCHTEXT_VERSION} torchaudio==${TORCHAUDIO_VERSION} \
+RUN pip install torch==${TORCH_VERSION} https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-${TORCH_VERSION%.*}-cp38-cp38-linux_x86_64.whl torchvision==${TORCHVISION_VERSION} torchtext==${TORCHTEXT_VERSION} torchaudio==${TORCHAUDIO_VERSION} \
     https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl \
     numpy==1.23.5
 
-RUN cp $PIP_LIBTPU $PYTORCH_LIBTPU
-
-# Monkey-patch PYTORCH to load the correct libtpu.so when they are imported:
-RUN sed -i "s|^\(\(.*\)libtpu.configure_library_path.*\)|\1\n\2os.environ['TPU_LIBRARY_PATH'] = '${PYTORCH_LIBTPU}'|" /usr/local/lib/python3.8/site-packages/torch_xla/__init__.py
-
 # Install JAX & related packages
 # https://cloud.google.com/tpu/docs/jax-quickstart-tpu-vm#install_jax_on_your_cloud_tpu_vm
 # We need to keep the numpy version the same as the installed tf one but compatible with other installs.
@@ -66,7 +62,7 @@ RUN pip install jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-r
 RUN pip install papermill jupyterlab python-lsp-server[all] "jupyter-lsp==1.5.1"
 
 # Additional useful packages should be added here:
-RUN pip install pandas matplotlib
+RUN pip install pandas matplotlib opencv-python-headless librosa scikit-learn
 
 # Monkey-patch the default TPU to the local (TPU VM).
 RUN sed -i 's/tpu=None,/tpu="local",/' /usr/local/lib/python3.8/site-packages/tensorflow/python/distribute/cluster_resolver/tpu/tpu_cluster_resolver.py

From 195e507202222f1e1433e317e985f4ec5460d13b Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 10 Apr 2023 16:11:34 -0400
Subject: [PATCH 1383/1660] upgrade to torch 2.0

http://b/273574631
---
 config.txt | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/config.txt b/config.txt
index b4104cda..f0d852fd 100644
--- a/config.txt
+++ b/config.txt
@@ -3,9 +3,9 @@ BASE_IMAGE_TAG=m105
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-11.py310
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-11.py310
 LIGHTGBM_VERSION=3.3.2
-TORCH_VERSION=1.13.0
-TORCHAUDIO_VERSION=0.13.0
-TORCHTEXT_VERSION=0.14.0
-TORCHVISION_VERSION=0.14.0
+TORCH_VERSION=2.0.0
+TORCHAUDIO_VERSION=2.0.0
+TORCHTEXT_VERSION=0.15.1
+TORCHVISION_VERSION=0.15.1
 CUDA_MAJOR_VERSION=11
 CUDA_MINOR_VERSION=3

From 8c0ee917884d0c1bee56a7a7900496b8b6982c75 Mon Sep 17 00:00:00 2001
From: Dustin H <djherbis@gmail.com>
Date: Mon, 10 Apr 2023 19:04:57 -0400
Subject: [PATCH 1384/1660] Update config.txt

---
 config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/config.txt b/config.txt
index f0d852fd..32ce1954 100644
--- a/config.txt
+++ b/config.txt
@@ -4,7 +4,7 @@ CPU_BASE_IMAGE_NAME=tf2-cpu.2-11.py310
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-11.py310
 LIGHTGBM_VERSION=3.3.2
 TORCH_VERSION=2.0.0
-TORCHAUDIO_VERSION=2.0.0
+TORCHAUDIO_VERSION=2.0.1
 TORCHTEXT_VERSION=0.15.1
 TORCHVISION_VERSION=0.15.1
 CUDA_MAJOR_VERSION=11

From f964858861dd36d8e9e4f53f480ae98898755adf Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 12 Apr 2023 09:38:43 -0700
Subject: [PATCH 1385/1660] Add segment_anything package. (#1241)

Code for running inference with the SegmentAnything model: https://github.com/facebookresearch/segment-anything

http://b/277217745
---
 Dockerfile.tmpl       | 1 +
 tests/test_imports.py | 1 +
 2 files changed, 2 insertions(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 415776b3..6f3e6500 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -547,6 +547,7 @@ RUN pip install pytorch-ignite \
         openpyxl \
         timm \
         torchinfo && \
+        pip install git+https://github.com/facebookresearch/segment-anything.git && \
     /tmp/clean-layer.sh
 
 # Install pycolmap for py3.10 (only the conda version works).
diff --git a/tests/test_imports.py b/tests/test_imports.py
index 39595773..9b69f8c3 100644
--- a/tests/test_imports.py
+++ b/tests/test_imports.py
@@ -7,3 +7,4 @@ def test_basic(self):
         import cleverhans
         import tensorflow_gcs_config
         import tensorflow_datasets
+        import segment_anything

From d7e00564d02743016e7c6c211ee28206692ab100 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Wed, 12 Apr 2023 17:44:39 +0000
Subject: [PATCH 1386/1660] Fix flaky server tests.

Force stop the jupyter server when the test is done to avoid it sticking
around.

Force test_user_client to use a free port instead of a potentially in
use one.

http://b/277579939
http://b/277898785
---
 tests/test_jupyterlab_lsp.py | 5 +++++
 tests/test_user_secrets.py   | 2 +-
 2 files changed, 6 insertions(+), 1 deletion(-)

diff --git a/tests/test_jupyterlab_lsp.py b/tests/test_jupyterlab_lsp.py
index 24b8bc1e..3521b67d 100644
--- a/tests/test_jupyterlab_lsp.py
+++ b/tests/test_jupyterlab_lsp.py
@@ -2,6 +2,7 @@
 import unittest
 
 from jupyter_server.serverapp import ServerApp
+import subprocess
 
 # Adapted from:
 # https://github.com/jupyter-lsp/jupyterlab-lsp/blob/ce76fab170feea506faf9ef47e4bd6a468c24313/python_packages/jupyter_lsp/jupyter_lsp/tests/test_extension.py
@@ -30,3 +31,7 @@ def test_serverextension(self):
         self.assertTrue(found_lsp, "didn't install the /lsp/ route")
         app.stop()
 
+        strpid=subprocess.Popen("ps -ef | grep jupyter | grep 9999 | awk '{print $2}' | head -n 1", shell=True, stdout=subprocess.PIPE).stdout.read().decode("utf-8").strip()
+        if strpid != "":
+            pid=int(strpid)
+            os.kill(pid, 9)
diff --git a/tests/test_user_secrets.py b/tests/test_user_secrets.py
index 7723e0d0..ac1136cd 100644
--- a/tests/test_user_secrets.py
+++ b/tests/test_user_secrets.py
@@ -40,7 +40,7 @@ def do_POST(s):
 
 
 class TestUserSecrets(unittest.TestCase):
-    SERVER_ADDRESS = urlparse(os.getenv(_KAGGLE_URL_BASE_ENV_VAR_NAME, default="http://127.0.0.1:8001"))
+    SERVER_ADDRESS = urlparse(os.getenv(_KAGGLE_URL_BASE_ENV_VAR_NAME, default="http://127.0.0.1:0"))
 
     def _test_client(self, client_func, expected_path, expected_body, secret=None, success=True):
         _request = {}

From bebff77beb6208dd30da8f0f89a0f0a07d47edd9 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 12 Apr 2023 15:52:05 -0400
Subject: [PATCH 1387/1660] dlvm upgrade to m107

---
 config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/config.txt b/config.txt
index 32ce1954..130f3d69 100644
--- a/config.txt
+++ b/config.txt
@@ -1,5 +1,5 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
-BASE_IMAGE_TAG=m105
+BASE_IMAGE_TAG=m107
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-11.py310
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-11.py310
 LIGHTGBM_VERSION=3.3.2

From 698e1ced23b2944f0e152191b01ded026ab1976f Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Thu, 13 Apr 2023 14:05:43 +0000
Subject: [PATCH 1388/1660] http://b/277898785 fix more flaky tests

---
 tests/test_datasets.py     | 2 +-
 tests/test_user_session.py | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/tests/test_datasets.py b/tests/test_datasets.py
index a55455f2..139953ea 100644
--- a/tests/test_datasets.py
+++ b/tests/test_datasets.py
@@ -39,7 +39,7 @@ def do_POST(s):
 
 
 class TestDatasets(unittest.TestCase):
-    SERVER_ADDRESS = urlparse(os.getenv(_KAGGLE_URL_BASE_ENV_VAR_NAME, default="http://127.0.0.1:8001"))
+    SERVER_ADDRESS = urlparse(os.getenv(_KAGGLE_URL_BASE_ENV_VAR_NAME, default="http://127.0.0.1:0"))
 
     def _test_client(self, client_func, expected_path, expected_body, is_tpu=True, success=True, iap_token=False):
         _request = {}
diff --git a/tests/test_user_session.py b/tests/test_user_session.py
index 7da12e09..c452ad00 100644
--- a/tests/test_user_session.py
+++ b/tests/test_user_session.py
@@ -30,7 +30,7 @@ def do_POST(s):
         s.wfile.write(json.dumps(s.get_response()).encode("utf-8"))
 
 class TestUserSessionClient(unittest.TestCase):
-    SERVER_ADDRESS = urlparse(os.getenv(_KAGGLE_URL_BASE_ENV_VAR_NAME, default="http://127.0.0.1:8001"))
+    SERVER_ADDRESS = urlparse(os.getenv(_KAGGLE_URL_BASE_ENV_VAR_NAME, default="http://127.0.0.1:0"))
     TEST_JWT = 'test-secrets-key'
 
     def _test_client(self, client_func, expected_path, expected_body, source=None, success=True):

From 717cb18add2afb2ff8563bcee3b5475e82445f12 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Thu, 13 Apr 2023 16:23:03 +0000
Subject: [PATCH 1389/1660] http://277898785 fix flaky tests by properly
 selecting ports

---
 test                       | 2 +-
 tests/test_datasets.py     | 2 ++
 tests/test_user_secrets.py | 2 ++
 tests/test_user_session.py | 2 ++
 4 files changed, 7 insertions(+), 1 deletion(-)

diff --git a/test b/test
index 9ad3d581..ef1ffe3e 100755
--- a/test
+++ b/test
@@ -100,7 +100,7 @@ fi
 docker run --rm -t --read-only --net=none \
     -e HOME=/tmp -e KAGGLE_DATA_PROXY_TOKEN=test-key \
     -e KAGGLE_USER_SECRETS_TOKEN_KEY=test-secrets-key \
-    -e KAGGLE_URL_BASE=http://127.0.0.1:8001 \
+    -e KAGGLE_URL_BASE=http://127.0.0.1:0 \
     -e KAGGLE_DATA_PROXY_URL=http://127.0.0.1:8000 \
     -e KAGGLE_DATA_PROXY_PROJECT=test \
     -e TF_FORCE_GPU_ALLOW_GROWTH=true \
diff --git a/tests/test_datasets.py b/tests/test_datasets.py
index 139953ea..109db0b7 100644
--- a/tests/test_datasets.py
+++ b/tests/test_datasets.py
@@ -72,6 +72,8 @@ def get_response(self):
                 threading.Thread(target=httpd.serve_forever).start()
 
                 try:
+                    # Make sure this server is pointed to by clients (the port may have been dynamically chosen): 
+                    env.set(_KAGGLE_URL_BASE_ENV_VAR_NAME, "http://"+httpd.server_address[0]+":"+str(httpd.server_address[1]))
                     client_func()
                 finally:
                     httpd.shutdown()
diff --git a/tests/test_user_secrets.py b/tests/test_user_secrets.py
index ac1136cd..6dd26354 100644
--- a/tests/test_user_secrets.py
+++ b/tests/test_user_secrets.py
@@ -66,6 +66,8 @@ def get_response(self):
                 threading.Thread(target=httpd.serve_forever).start()
 
                 try:
+                    # Make sure this server is pointed to by clients (the port may have been dynamically chosen): 
+                    env.set(_KAGGLE_URL_BASE_ENV_VAR_NAME, "http://"+httpd.server_address[0]+":"+str(httpd.server_address[1]))
                     client_func()
                 finally:
                     httpd.shutdown()
diff --git a/tests/test_user_session.py b/tests/test_user_session.py
index c452ad00..373fcfc0 100644
--- a/tests/test_user_session.py
+++ b/tests/test_user_session.py
@@ -55,6 +55,8 @@ def get_response(self):
                 threading.Thread(target=httpd.serve_forever).start()
 
                 try:
+                    # Make sure this server is pointed to by clients (the port may have been dynamically chosen): 
+                    env.set(_KAGGLE_URL_BASE_ENV_VAR_NAME, "http://"+httpd.server_address[0]+":"+str(httpd.server_address[1]))
                     client_func()
                 finally:
                     httpd.shutdown()

From 960fdb6f93896892f423381c24b6801645408bb2 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Thu, 13 Apr 2023 18:30:53 +0000
Subject: [PATCH 1390/1660] http://b/277579939 force close jupyter in tests

---
 tests/test_jupyterlab_lsp.py | 8 +-------
 1 file changed, 1 insertion(+), 7 deletions(-)

diff --git a/tests/test_jupyterlab_lsp.py b/tests/test_jupyterlab_lsp.py
index 3521b67d..379a322f 100644
--- a/tests/test_jupyterlab_lsp.py
+++ b/tests/test_jupyterlab_lsp.py
@@ -2,7 +2,6 @@
 import unittest
 
 from jupyter_server.serverapp import ServerApp
-import subprocess
 
 # Adapted from:
 # https://github.com/jupyter-lsp/jupyterlab-lsp/blob/ce76fab170feea506faf9ef47e4bd6a468c24313/python_packages/jupyter_lsp/jupyter_lsp/tests/test_extension.py
@@ -29,9 +28,4 @@ def test_serverextension(self):
                     found_lsp = True
 
         self.assertTrue(found_lsp, "didn't install the /lsp/ route")
-        app.stop()
-
-        strpid=subprocess.Popen("ps -ef | grep jupyter | grep 9999 | awk '{print $2}' | head -n 1", shell=True, stdout=subprocess.PIPE).stdout.read().decode("utf-8").strip()
-        if strpid != "":
-            pid=int(strpid)
-            os.kill(pid, 9)
+        os.kill(app.server_info()['pid'], 9)

From 94461fa7c93475cc7d74f0ba678013b2f9c8304f Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Thu, 13 Apr 2023 20:28:50 +0000
Subject: [PATCH 1391/1660] http://b/277579939 remove pandarallel which is
 flaky and breaking tests

---
 Dockerfile.tmpl           |  1 -
 tests/test_pandarralel.py | 11 -----------
 2 files changed, 12 deletions(-)
 delete mode 100644 tests/test_pandarralel.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 6f3e6500..7c279d46 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -541,7 +541,6 @@ RUN pip install pytorch-ignite \
         easyocr \
         # ipympl adds interactive widget support for matplotlib
         ipympl==0.7.0 \
-        pandarallel \
         onnx \
         tables \
         openpyxl \
diff --git a/tests/test_pandarralel.py b/tests/test_pandarralel.py
deleted file mode 100644
index fe74b0e1..00000000
--- a/tests/test_pandarralel.py
+++ /dev/null
@@ -1,11 +0,0 @@
-import unittest
-
-import pandas as pd
-from pandarallel import pandarallel
-
-pandarallel.initialize()
-
-class TestPandarallel(unittest.TestCase):    
-    def test_pandarallel(self):
-        data = pd.read_csv("/input/tests/data/train.csv")
-        data['label_converted'] = data['label'].parallel_apply(lambda x: x+1)

From 6959e47d69d1dac0ec69a650b88bbfe0b324e7f8 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 17 Apr 2023 11:16:25 -0400
Subject: [PATCH 1392/1660] Fix test_jupyterlab_lsp.py

---
 tests/test_jupyterlab_lsp.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/test_jupyterlab_lsp.py b/tests/test_jupyterlab_lsp.py
index 379a322f..1a23494d 100644
--- a/tests/test_jupyterlab_lsp.py
+++ b/tests/test_jupyterlab_lsp.py
@@ -28,4 +28,4 @@ def test_serverextension(self):
                     found_lsp = True
 
         self.assertTrue(found_lsp, "didn't install the /lsp/ route")
-        os.kill(app.server_info()['pid'], 9)
+        app.stop()

From 4be4271c786b86e95cdcdc1e2c1f7fb294f41919 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 19 Apr 2023 16:52:40 -0400
Subject: [PATCH 1393/1660] Remove extra cupy installation

http://b/238238348
---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 7c279d46..8a485a74 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -158,7 +158,7 @@ RUN pip install jax[cpu] && \
 
 # Install spacy
 {{ if eq .Accelerator "gpu" }}
-RUN pip install spacy[cuda$CUDA_MAJOR_VERSION$CUDA_MINOR_VERSION] && \
+RUN mamba install -c conda-forge spacy cupy && \
     /tmp/clean-layer.sh
 {{ else }}
 RUN pip install spacy && \

From 7e2b36e4a2ac3ef3df74db56b1fd132d56620e8a Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 19 Apr 2023 19:44:34 -0400
Subject: [PATCH 1394/1660] Limit test_pytorch_lightning to 1 device

http://b/238238348
---
 tests/test_pytorch_lightning.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/test_pytorch_lightning.py b/tests/test_pytorch_lightning.py
index 53291067..24992e5f 100644
--- a/tests/test_pytorch_lightning.py
+++ b/tests/test_pytorch_lightning.py
@@ -62,7 +62,7 @@ def test_version(self):
     def test_mnist(self):
         dm = LitDataModule()
         model = LitClassifier()
-        trainer = pl.Trainer(max_epochs=1)
+        trainer = pl.Trainer(max_epochs=1, log_every_n_steps=1, devices=1)
         trainer.fit(model, datamodule=dm)
 
         self.assertIn("train_loss", trainer.logged_metrics)

From 2a0e3df555f1b01396412e1f7a81cbbfd41712f0 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Maciej=20Sk=C3=B3rski?= <maciej.skorski@gmail.com>
Date: Sat, 6 May 2023 17:16:53 +0000
Subject: [PATCH 1395/1660] upgrade jupyter-server

---
 Dockerfile.tmpl              |  4 +++-
 tests/test_jupyter_server.py | 16 ++++++++++++++++
 2 files changed, 19 insertions(+), 1 deletion(-)
 create mode 100644 tests/test_jupyter_server.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 8a485a74..fbc42710 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -593,7 +593,9 @@ RUN pip install --upgrade dask && \
     mkdir -p /etc/ipython/ && echo "c = get_config(); c.IPKernelApp.matplotlib = 'inline'" > /etc/ipython/ipython_config.py && \
     # Temporary patch for broken libpixman 0.38 in conda-forge, symlink to system libpixman 0.34 untile conda package gets updated to 0.38.5 or higher.
     ln -sf /usr/lib/x86_64-linux-gnu/libpixman-1.so.0.34.0 /opt/conda/lib/libpixman-1.so.0.38.0 && \
-    /tmp/clean-layer.sh
+    /tmp/clean-layer.sh && \
+    # upgrade jupyter-server to version > 2.x
+    pip install --force-reinstall --no-deps jupyter_server>=2.*
 
 RUN pip install setuptools==59.8.0 && pip install -e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper
 
diff --git a/tests/test_jupyter_server.py b/tests/test_jupyter_server.py
new file mode 100644
index 00000000..531d28d5
--- /dev/null
+++ b/tests/test_jupyter_server.py
@@ -0,0 +1,16 @@
+import os
+import unittest
+
+
+class TestJupyterServer(unittest.TestCase):
+    
+    
+    def test_version(self):
+        from packaging.version import parse as parse_version
+        from importlib.metadata import version as pckg_version
+        self.assertTrue(parse_version(pckg_version('jupyter_server')) >= parse_version('2.0'))
+        
+    def test_terminals(self):
+        import jupyter_server_terminals
+
+    

From 9e2c3c90e93b099a2715cd330a9e4929ee076583 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Maciej=20Sk=C3=B3rski?= <maciej.skorski@gmail.com>
Date: Sat, 6 May 2023 17:28:07 +0000
Subject: [PATCH 1396/1660] formatting

---
 tests/test_jupyter_server.py | 9 ++++-----
 1 file changed, 4 insertions(+), 5 deletions(-)

diff --git a/tests/test_jupyter_server.py b/tests/test_jupyter_server.py
index 531d28d5..7aa91175 100644
--- a/tests/test_jupyter_server.py
+++ b/tests/test_jupyter_server.py
@@ -3,14 +3,13 @@
 
 
 class TestJupyterServer(unittest.TestCase):
-    
-    
     def test_version(self):
         from packaging.version import parse as parse_version
         from importlib.metadata import version as pckg_version
-        self.assertTrue(parse_version(pckg_version('jupyter_server')) >= parse_version('2.0'))
-        
+
+        self.assertTrue(parse_version(pckg_version("jupyter_server")) >= parse_version("2.0"))
+
     def test_terminals(self):
         import jupyter_server_terminals
 
-    
+        self.assertTrue(hasattr(jupyter_server_terminals, "version_info"))

From ce695c46b32a5792b27c023807f762d4e2cb8f2e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Maciej=20Sk=C3=B3rski?= <maciej.skorski@gmail.com>
Date: Sat, 6 May 2023 18:03:42 +0000
Subject: [PATCH 1397/1660] correct layer cleanup

---
 Dockerfile.tmpl | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index fbc42710..cd2d7ef2 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -593,9 +593,9 @@ RUN pip install --upgrade dask && \
     mkdir -p /etc/ipython/ && echo "c = get_config(); c.IPKernelApp.matplotlib = 'inline'" > /etc/ipython/ipython_config.py && \
     # Temporary patch for broken libpixman 0.38 in conda-forge, symlink to system libpixman 0.34 untile conda package gets updated to 0.38.5 or higher.
     ln -sf /usr/lib/x86_64-linux-gnu/libpixman-1.so.0.34.0 /opt/conda/lib/libpixman-1.so.0.38.0 && \
-    /tmp/clean-layer.sh && \
     # upgrade jupyter-server to version > 2.x
-    pip install --force-reinstall --no-deps jupyter_server>=2.*
+    pip install --force-reinstall --no-deps jupyter_server>=2.* && \
+    /tmp/clean-layer.sh
 
 RUN pip install setuptools==59.8.0 && pip install -e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper
 

From 5da7bb7a5e78a4fb006b111eae285ccc9eb6dceb Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 8 May 2023 15:25:23 -0400
Subject: [PATCH 1398/1660] Upgrade to m108

---
 config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/config.txt b/config.txt
index 130f3d69..ab240200 100644
--- a/config.txt
+++ b/config.txt
@@ -1,5 +1,5 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
-BASE_IMAGE_TAG=m107
+BASE_IMAGE_TAG=m108
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-11.py310
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-11.py310
 LIGHTGBM_VERSION=3.3.2

From 52a63647f6bc117898eef3fafb880170d093ccdc Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Wed, 10 May 2023 18:18:23 +0000
Subject: [PATCH 1399/1660] Upgrade to tf2.12

http://b/281861396
---
 Dockerfile.tmpl | 2 +-
 config.txt      | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index cd2d7ef2..1e3119df 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -36,7 +36,7 @@ RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/lib
 {{ end }}
 
 # Keep these variables in sync if base image is updated.
-ENV TENSORFLOW_VERSION=2.11.0
+ENV TENSORFLOW_VERSION=2.12.0
 
 # We need to redefine the ARG here to get the ARG value defined above the FROM instruction.
 # See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
diff --git a/config.txt b/config.txt
index ab240200..a21f53d9 100644
--- a/config.txt
+++ b/config.txt
@@ -1,7 +1,7 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
 BASE_IMAGE_TAG=m108
-CPU_BASE_IMAGE_NAME=tf2-cpu.2-11.py310
-GPU_BASE_IMAGE_NAME=tf2-gpu.2-11.py310
+CPU_BASE_IMAGE_NAME=tf-cpu.2-12.py310
+GPU_BASE_IMAGE_NAME=tf-gpu.2-12.py310
 LIGHTGBM_VERSION=3.3.2
 TORCH_VERSION=2.0.0
 TORCHAUDIO_VERSION=2.0.1

From 7c02b522ac7495fe9b2ff431fd3e7601eda86909 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 10 May 2023 14:23:02 -0400
Subject: [PATCH 1400/1660] Update config.txt

---
 config.txt | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/config.txt b/config.txt
index a21f53d9..c6e2328f 100644
--- a/config.txt
+++ b/config.txt
@@ -1,7 +1,7 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
 BASE_IMAGE_TAG=m108
-CPU_BASE_IMAGE_NAME=tf-cpu.2-12.py310
-GPU_BASE_IMAGE_NAME=tf-gpu.2-12.py310
+CPU_BASE_IMAGE_NAME=tf2-cpu.2-12.py310
+GPU_BASE_IMAGE_NAME=tf2-gpu.2-12.py310
 LIGHTGBM_VERSION=3.3.2
 TORCH_VERSION=2.0.0
 TORCHAUDIO_VERSION=2.0.1

From 9e00acf188b781000ec2d7763b09d9b03883cfe7 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 10 May 2023 15:10:21 -0400
Subject: [PATCH 1401/1660] Upgrade to CUDA 11.8

---
 config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/config.txt b/config.txt
index c6e2328f..6d435434 100644
--- a/config.txt
+++ b/config.txt
@@ -8,4 +8,4 @@ TORCHAUDIO_VERSION=2.0.1
 TORCHTEXT_VERSION=0.15.1
 TORCHVISION_VERSION=0.15.1
 CUDA_MAJOR_VERSION=11
-CUDA_MINOR_VERSION=3
+CUDA_MINOR_VERSION=8

From 8b3de66c4381d8d63dbe5a09d63999bb14c74c56 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 10 May 2023 19:02:11 -0400
Subject: [PATCH 1402/1660] Upgrade JAX CUDA

http://b/281861396
---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 1e3119df..33ef6598 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -149,7 +149,7 @@ RUN pip install lightgbm==$LIGHTGBM_VERSION && \
 
 # Install JAX
 {{ if eq .Accelerator "gpu" }}
-RUN pip install "jax[cuda11_cudnn82]" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html && \
+RUN pip install "jax[cuda11_local]" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html && \
     /tmp/clean-layer.sh
 {{ else }}
 RUN pip install jax[cpu] && \

From f52ae19a38e0b5555e884ccbd0b243c82f643d10 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 22 May 2023 10:39:17 -0400
Subject: [PATCH 1403/1660] Unpin prophet

b/266272046
---
 Dockerfile.tmpl | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 33ef6598..818e0254 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -321,8 +321,7 @@ RUN pip install mpld3 \
         pyexcel-ods \
         sklearn-pandas \
         stemming \
-        # b/266272046 prophet 1.1.2 breaks the test
-        prophet==1.1.1 \
+        prophet \
         holoviews \
         geoviews \
         hypertools \

From 3248f1f9143eced1da8c1bff729c48198a5406fe Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 22 May 2023 17:53:56 -0400
Subject: [PATCH 1404/1660] Skip holidays v0.25

http://b/283847935
---
 Dockerfile.tmpl | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 818e0254..42f729cd 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -320,8 +320,11 @@ RUN pip install mpld3 \
         python-louvain \
         pyexcel-ods \
         sklearn-pandas \
-        stemming \
-        prophet \
+        stemming \    
+        # b/266272046 prophet 1.1.2 breaks the test
+        prophet==1.1.1 \
+        # b/283847935 holidays 0.25 is broken
+        "holidays!=0.25" \
         holoviews \
         geoviews \
         hypertools \

From ce1e7ae5710a319795cddf448ef97500967a94ef Mon Sep 17 00:00:00 2001
From: SohierDane <sohier@google.com>
Date: Thu, 25 May 2023 00:02:29 +0000
Subject: [PATCH 1405/1660] Add pytest back in

Add pytest test
---
 Dockerfile.tmpl      |  8 +++-----
 tests/test_pytest.py | 10 ++++++++++
 2 files changed, 13 insertions(+), 5 deletions(-)
 create mode 100644 tests/test_pytest.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 42f729cd..f6c201ff 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -320,7 +320,7 @@ RUN pip install mpld3 \
         python-louvain \
         pyexcel-ods \
         sklearn-pandas \
-        stemming \    
+        stemming \
         # b/266272046 prophet 1.1.2 breaks the test
         prophet==1.1.1 \
         # b/283847935 holidays 0.25 is broken
@@ -342,7 +342,8 @@ RUN pip install mpld3 \
         geoplot \
         eli5 \
         kaggle \
-        mock && \
+        mock \
+        pytest && \
     /tmp/clean-layer.sh
 
 RUN rm -rf /opt/conda/lib/python3.10/site-packages/numpy-1.23.5.dist-info*
@@ -361,9 +362,6 @@ RUN pip install tensorpack && \
         memory_profiler && \
     /tmp/clean-layer.sh
 
-
-
-
 # install cython & cysignals before pyfasttext
 RUN pip install cython \
         cysignals \
diff --git a/tests/test_pytest.py b/tests/test_pytest.py
new file mode 100644
index 00000000..a63e9da4
--- /dev/null
+++ b/tests/test_pytest.py
@@ -0,0 +1,10 @@
+
+import subprocess
+import unittest
+
+
+class test_pytest(unittest.TestCase):
+    def test_pytest_on_pandas_test(self):
+        cmd = 'pytest /input/tests/test_pandas.py'
+        result = subprocess.run(cmd, shell=True, capture_output=True)
+        self.assertEqual(result.returncode, 0)

From 98ca3e975578ec971fbca5c4d81b789f5a469ed2 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Tue, 30 May 2023 14:54:22 -0400
Subject: [PATCH 1406/1660] unpin opencv-python (#1262)

http://b/212703016, http://b/284952059
---
 Dockerfile.tmpl | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index f6c201ff..aa61ebe1 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -226,8 +226,7 @@ RUN apt-get install -y libfreetype6-dev && \
     /tmp/clean-layer.sh
 
 RUN pip install ibis-framework && \
-    # b/212703016 4.5.4.62 segfault with readtext.
-    pip install opencv-contrib-python==4.5.4.60 opencv-python==4.5.4.60 && \
+    pip install opencv-contrib-python opencv-python && \
     /tmp/clean-layer.sh
 
 RUN pip install scipy \

From 2d53f44c656ed0a48d12ec36a571fbdc9dbf2a3d Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Fri, 9 Jun 2023 12:00:58 -0400
Subject: [PATCH 1407/1660] ping holidays to 0.24

0.26 was released and is still broken

http://b/283847935
---
 Dockerfile.tmpl | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index aa61ebe1..2e585f10 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -322,8 +322,8 @@ RUN pip install mpld3 \
         stemming \
         # b/266272046 prophet 1.1.2 breaks the test
         prophet==1.1.1 \
-        # b/283847935 holidays 0.25 is broken
-        "holidays!=0.25" \
+        # b/283847935 holidays >0.24 is broken
+        "holidays==0.24" \
         holoviews \
         geoviews \
         hypertools \

From 5f68164563e525337678b572a076a8c691985bb2 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Mon, 12 Jun 2023 14:55:56 +0000
Subject: [PATCH 1408/1660] fix ffmpeg install

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 2e585f10..b8e81c37 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -460,7 +460,7 @@ RUN pip install bleach \
         feather-format \
         fastai
 RUN python -m spacy download en_core_web_sm && python -m spacy download en_core_web_lg && \
-    apt-get install -y ffmpeg && \
+    apt-get update && apt-get install -y ffmpeg && \
     /tmp/clean-layer.sh
 
     ###########

From 6702ca75b567433192ff99c31e2d060563f73ec1 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Mon, 12 Jun 2023 17:57:15 +0000
Subject: [PATCH 1409/1660] fix flax accidentally upgrading jax

---
 Dockerfile.tmpl | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index b8e81c37..0a8b3d4c 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -175,12 +175,15 @@ RUN pip install pycuda \
     /tmp/clean-layer.sh
 {{ end }}
 
-RUN pip install pysal \
+RUN JAXVER=$(pip freeze | grep -e "^jax==") && \
+    pip install pysal \
         seaborn python-dateutil dask python-igraph \
         pyyaml joblib husl geopy mne pyshp \
         pandas \
         polars \
-        flax && \
+        flax \
+        "${JAXVER}" && \
+
     # Install h2o from source.
     # Use `conda install -c h2oai h2o` once Python 3.7 version is released to conda.
     apt-get install -y default-jre-headless && \

From df84b2e6eca74cc247c21c45f190bdbb9f5e08d2 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Tue, 13 Jun 2023 17:11:50 +0000
Subject: [PATCH 1410/1660] fix build issue with leftover package platformdirs

---
 Dockerfile.tmpl | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 0a8b3d4c..50de33db 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -407,6 +407,7 @@ RUN pip install annoy \
 RUN rm -rf /opt/conda/lib/python3.10/site-packages/nbconvert*
 RUN rm -rf /opt/conda/lib/python3.10/site-packages/nbclient*
 RUN rm -rf /opt/conda/lib/python3.10/site-packages/mistune*
+RUN rm -rf /opt/conda/lib/python3.10/site-packages/platformdirs*
 
 # Fix qgrid by pinning ipywidgets https://github.com/quantopian/qgrid/issues/376
 #        allennlp \

From aa55fe3d03088eeb39a96cbaf59456a4313d8b40 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Tue, 27 Jun 2023 19:17:10 -0400
Subject: [PATCH 1411/1660] Environment variable to remove the warning when
 installing with pip in a notebook (#1265)

http://b/288905562
---
 Dockerfile.tmpl | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 50de33db..d4595d37 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -53,6 +53,9 @@ ENV KMP_WARNINGS=0
 # https://stackoverflow.com/questions/70250304/stop-tensorflow-from-printing-warning-message
 ENV KMP_SETTINGS=false
 
+# Remove the pip as the root user warning.
+ENV PIP_ROOT_USER_ACTION=ignore
+
 ADD clean-layer.sh  /tmp/clean-layer.sh
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
 ADD patches/template_conf.json /opt/kaggle/conf.json

From 08dc8bcec50b5e6f016a28d5db31060a9778a9c3 Mon Sep 17 00:00:00 2001
From: Ryan Holbrook <rholbrook@kaggle.com>
Date: Thu, 29 Jun 2023 20:05:48 +0000
Subject: [PATCH 1412/1660] Add rapidfuzz existence test

---
 tests/test_rapidfuzz.py | 11 +++++++++++
 1 file changed, 11 insertions(+)
 create mode 100644 tests/test_rapidfuzz.py

diff --git a/tests/test_rapidfuzz.py b/tests/test_rapidfuzz.py
new file mode 100644
index 00000000..b7310ff3
--- /dev/null
+++ b/tests/test_rapidfuzz.py
@@ -0,0 +1,11 @@
+import unittest
+
+import rapidfuzz
+
+class TestRapidfuzz(unittest.TestCase):
+    def test_distance(self):
+        distance = rapidfuzz.distance.Levenshtein.distance(
+            'Levenshtein', 'Lenvinsten'
+        )
+
+        self.assertEqual(4, distance)

From ddc271ed71d376313536e95891f0f9e5280aacdb Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Fri, 30 Jun 2023 09:48:22 -0400
Subject: [PATCH 1413/1660] Upgrade to m109

---
 config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/config.txt b/config.txt
index 6d435434..db8cee11 100644
--- a/config.txt
+++ b/config.txt
@@ -1,5 +1,5 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
-BASE_IMAGE_TAG=m108
+BASE_IMAGE_TAG=m109
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-12.py310
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-12.py310
 LIGHTGBM_VERSION=3.3.2

From fc49c3ad596c34eb21b51192f383de0e48fa6973 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Fri, 30 Jun 2023 13:11:37 -0400
Subject: [PATCH 1414/1660] Remove pysal to fix build

http://b/289517451
---
 Dockerfile.tmpl | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index d4595d37..3dbea176 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -179,8 +179,7 @@ RUN pip install pycuda \
 {{ end }}
 
 RUN JAXVER=$(pip freeze | grep -e "^jax==") && \
-    pip install pysal \
-        seaborn python-dateutil dask python-igraph \
+    pip install seaborn python-dateutil dask python-igraph \
         pyyaml joblib husl geopy mne pyshp \
         pandas \
         polars \

From 6ad0d7f14766069edee119577a45ecca5da8a8e0 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Fri, 30 Jun 2023 20:36:27 +0000
Subject: [PATCH 1415/1660] Fix pysal, shapely installs and bq test

http://b/289517451
---
 Dockerfile.tmpl        | 6 +++++-
 tests/test_bigquery.py | 2 +-
 2 files changed, 6 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 3dbea176..50116ed7 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -96,7 +96,7 @@ RUN conda config --add channels nvidia && \
     conda install -c conda-forge mamba && \
     # Base image channel order: conda-forge (highest priority), defaults.
     # End state: rapidsai (highest priority), nvidia, conda-forge, defaults.
-    mamba install mkl cartopy imagemagick pyproj && \
+    mamba install mkl cartopy imagemagick pyproj "shapely<2" && \
     /tmp/clean-layer.sh
 
 {{ if eq .Accelerator "gpu" }}
@@ -197,6 +197,8 @@ RUN JAXVER=$(pip freeze | grep -e "^jax==") && \
         tensorflow_text && \
     /tmp/clean-layer.sh
 
+RUN pip install pysal
+
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
     pip install gensim \
@@ -270,6 +272,8 @@ RUN apt-get install -y libgl1-mesa-glx && \
     pip install xvfbwrapper && \
     /tmp/clean-layer.sh
 
+RUN rm -rf /opt/conda/lib/python3.10/site-packages/Shapely-1.8.5.post1.dist-info/
+
 RUN pip install mpld3 \
         gpxpy \
         arrow \
diff --git a/tests/test_bigquery.py b/tests/test_bigquery.py
index 2c4ad8bb..400ac32e 100644
--- a/tests/test_bigquery.py
+++ b/tests/test_bigquery.py
@@ -126,7 +126,7 @@ def test_no_project_with_connected_account(self):
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         env.set('KAGGLE_KERNEL_INTEGRATIONS', 'BIGQUERY')
         with env:
-            with self.assertRaises(DefaultCredentialsError):
+            with self.assertRaises(OSError):
                 # TODO(vimota): Handle this case, either default to Kaggle Proxy or use some default project
                 # by the user or throw a custom exception.
                 client = bigquery.Client(client_options={"api_endpoint": TestBigQuery.API_BASE_URL})

From 4310e5bdf25bc18f5f007663c4f43417b235abe6 Mon Sep 17 00:00:00 2001
From: Ryan Holbrook <ryanholbrook@gmail.com>
Date: Fri, 30 Jun 2023 16:43:55 -0500
Subject: [PATCH 1416/1660] Add referral to metric

---
 tests/test_rapidfuzz.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/tests/test_rapidfuzz.py b/tests/test_rapidfuzz.py
index b7310ff3..e0cdf93a 100644
--- a/tests/test_rapidfuzz.py
+++ b/tests/test_rapidfuzz.py
@@ -1,5 +1,7 @@
 import unittest
 
+# needed for the Word Error Rate metric:
+# competitions/metrics/python/deployed_metrics/general_use_metrics/word_error_rate.py
 import rapidfuzz
 
 class TestRapidfuzz(unittest.TestCase):

From a581e741066c7437cdfac663e78651c8cac8478f Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Wed, 5 Jul 2023 21:47:59 -0400
Subject: [PATCH 1417/1660] Pin Pillow because of a EasyOCR breakage (#1269)

http://b/290035631
---
 Dockerfile.tmpl | 18 ++++++++++--------
 1 file changed, 10 insertions(+), 8 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 50116ed7..af05d38d 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -96,7 +96,7 @@ RUN conda config --add channels nvidia && \
     conda install -c conda-forge mamba && \
     # Base image channel order: conda-forge (highest priority), defaults.
     # End state: rapidsai (highest priority), nvidia, conda-forge, defaults.
-    mamba install mkl cartopy imagemagick pyproj "shapely<2" && \
+    mamba install -y mkl cartopy imagemagick pyproj "shapely<2" && \
     /tmp/clean-layer.sh
 
 {{ if eq .Accelerator "gpu" }}
@@ -109,17 +109,17 @@ RUN pip uninstall -y pyarrow && \
 
 # Install implicit
 {{ if eq .Accelerator "gpu" }}
-RUN mamba install implicit implicit-proc=*=gpu && \
+RUN mamba install -y implicit implicit-proc=*=gpu && \
     /tmp/clean-layer.sh
 {{ else }}
-RUN mamba install implicit && \
+RUN mamba install -y implicit && \
     /tmp/clean-layer.sh
 {{ end}}
 
 # Install PyTorch
 {{ if eq .Accelerator "gpu" }}
 COPY --from=torch_whl /tmp/whl/*.whl /tmp/torch/
-RUN mamba install -c pytorch magma-cuda${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION} && \
+RUN mamba install -y -c pytorch magma-cuda${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION} && \
     pip install /tmp/torch/*.whl && \
     # b/255757999 openmp (libomp.so) is an dependency of libtorchtext and libtorchaudio but
     mamba install -y openmp && \
@@ -161,7 +161,7 @@ RUN pip install jax[cpu] && \
 
 # Install spacy
 {{ if eq .Accelerator "gpu" }}
-RUN mamba install -c conda-forge spacy cupy && \
+RUN mamba install -y -c conda-forge spacy cupy && \
     /tmp/clean-layer.sh
 {{ else }}
 RUN pip install spacy && \
@@ -386,8 +386,9 @@ RUN pip install annoy \
         google-cloud-automl==1.0.1 \
         google-api-core==1.33.2 \
         google-cloud-bigquery \
-        google-cloud-storage \
-        google-cloud-translate==3.* \
+        google-cloud-storage && \
+    # Split these installations to avoid `pip._vendor.resolvelib.resolvers.ResolutionTooDeep: 200000`
+    pip install google-cloud-translate==3.* \
         google-cloud-language==2.* \
         google-cloud-videointelligence==2.* \
         google-cloud-vision==2.* \
@@ -447,7 +448,8 @@ RUN pip install bleach \
         pandocfilters \
         pexpect \
         pickleshare \
-        Pillow && \
+        # TODO(b/290035631) unpin when EasyOCR did a release.
+        Pillow==9.5.0 && \
     # Install openslide and its python binding
     apt-get install -y openslide-tools && \
     pip install openslide-python \

From a1efcff441bcebc52294958da7699f8d534803c6 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Thu, 6 Jul 2023 17:53:49 -0400
Subject: [PATCH 1418/1660] Keras CV (#1270)

http://b/270144038
---
 Dockerfile.tmpl       |  3 ++-
 tests/test_kerascv.py | 21 +++++++++++++++++++++
 2 files changed, 23 insertions(+), 1 deletion(-)
 create mode 100644 tests/test_kerascv.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index af05d38d..3cb14c1f 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -526,7 +526,8 @@ RUN pip install flashtext \
         accelerate==0.12.0 \
         catalyst \
         # b/206990323 osmx 1.1.2 requires numpy >= 1.21 which we don't want.
-        osmnx==1.1.1 && \
+        osmnx==1.1.1 \
+        keras-cv && \
     apt-get -y install libspatialindex-dev
 RUN pip install pytorch-ignite \
         qgrid \
diff --git a/tests/test_kerascv.py b/tests/test_kerascv.py
new file mode 100644
index 00000000..3833b198
--- /dev/null
+++ b/tests/test_kerascv.py
@@ -0,0 +1,21 @@
+import unittest
+
+import json
+import keras_cv
+import keras
+import numpy as np
+
+class TestKerasCV(unittest.TestCase):
+    def test_inference(self):
+        classifier = keras_cv.models.ImageClassifier.from_preset(
+            'efficientnetv2_b0_imagenet_classifier',
+            load_weights=False, # load randomly initialized model from preset architecture with weights
+        )
+        image = keras.utils.load_img('/input/tests/data/face.jpg')
+        image = np.array(image)
+        keras_cv.visualization.plot_image_gallery(
+            [image], rows=1, cols=1, value_range=(0, 255), show=True, scale=4
+        )
+        predictions = classifier.predict(np.expand_dims(image, axis=0))
+        top_classes = predictions[0].argsort(axis=-1)
+        self.assertEqual(1000, len(top_classes))
\ No newline at end of file

From 9206ba01f1497b13b7196a778c28657bacce6f79 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Sat, 8 Jul 2023 14:39:45 -0400
Subject: [PATCH 1419/1660] Unpin accelerate to fix transformers pipeline
 (#1271)

http://b/254245259
---
 Dockerfile.tmpl            | 10 ++++++----
 tests/test_transformers.py |  1 +
 2 files changed, 7 insertions(+), 4 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 3cb14c1f..618bc3c2 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -522,12 +522,14 @@ RUN pip install flashtext \
         optuna \
         plotly_express \
         albumentations \
-        # b/254245259 catalyst requires accelerate but it breaks with the version 0.13.1
-        accelerate==0.12.0 \
-        catalyst \
+        accelerate \
+        # b/290207097 switch back to the pip catalyst package when bug fixed
+        # https://github.com/catalyst-team/catalyst/issues/1440
+        git+https://github.com/Philmod/catalyst.git@fix-fp16#egg=catalyst \
         # b/206990323 osmx 1.1.2 requires numpy >= 1.21 which we don't want.
         osmnx==1.1.1 \
-        keras-cv && \
+        # b/290392955 version 0.5.1 breaks the test
+        keras-cv==0.5.0 && \
     apt-get -y install libspatialindex-dev
 RUN pip install pytorch-ignite \
         qgrid \
diff --git a/tests/test_transformers.py b/tests/test_transformers.py
index d6056293..a81714cc 100644
--- a/tests/test_transformers.py
+++ b/tests/test_transformers.py
@@ -2,6 +2,7 @@
 
 import torch
 from transformers import AdamW
+import transformers.pipelines # verify this import works
 
 
 class TestTransformers(unittest.TestCase):

From cba1453410e40172ac8d4f9fb28834896246d237 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Mon, 10 Jul 2023 19:39:15 -0400
Subject: [PATCH 1420/1660] Unpin keras-cv (#1272)

http://b/290392955
---
 Dockerfile.tmpl       | 3 +--
 tests/test_kerascv.py | 3 ---
 2 files changed, 1 insertion(+), 5 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 618bc3c2..e8a53d8f 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -528,8 +528,7 @@ RUN pip install flashtext \
         git+https://github.com/Philmod/catalyst.git@fix-fp16#egg=catalyst \
         # b/206990323 osmx 1.1.2 requires numpy >= 1.21 which we don't want.
         osmnx==1.1.1 \
-        # b/290392955 version 0.5.1 breaks the test
-        keras-cv==0.5.0 && \
+        keras-cv && \
     apt-get -y install libspatialindex-dev
 RUN pip install pytorch-ignite \
         qgrid \
diff --git a/tests/test_kerascv.py b/tests/test_kerascv.py
index 3833b198..da3c1d9e 100644
--- a/tests/test_kerascv.py
+++ b/tests/test_kerascv.py
@@ -13,9 +13,6 @@ def test_inference(self):
         )
         image = keras.utils.load_img('/input/tests/data/face.jpg')
         image = np.array(image)
-        keras_cv.visualization.plot_image_gallery(
-            [image], rows=1, cols=1, value_range=(0, 255), show=True, scale=4
-        )
         predictions = classifier.predict(np.expand_dims(image, axis=0))
         top_classes = predictions[0].argsort(axis=-1)
         self.assertEqual(1000, len(top_classes))
\ No newline at end of file

From 269e18610f747fe5b47cc440a5b093955b02e01c Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Thu, 13 Jul 2023 18:11:19 -0400
Subject: [PATCH 1421/1660] Fix: Install Keras core (#1274)

http://b/291077437
---
 Dockerfile.tmpl          |   1 +
 tests/data/mnist.npz     | Bin 0 -> 11490434 bytes
 tests/test_keras_core.py |  76 +++++++++++++++++++++++++++++++++++++++
 tests/test_kerascv.py    |   1 -
 4 files changed, 77 insertions(+), 1 deletion(-)
 create mode 100644 tests/data/mnist.npz
 create mode 100644 tests/test_keras_core.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index e8a53d8f..11994f45 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -528,6 +528,7 @@ RUN pip install flashtext \
         git+https://github.com/Philmod/catalyst.git@fix-fp16#egg=catalyst \
         # b/206990323 osmx 1.1.2 requires numpy >= 1.21 which we don't want.
         osmnx==1.1.1 \
+        keras-core \
         keras-cv && \
     apt-get -y install libspatialindex-dev
 RUN pip install pytorch-ignite \
diff --git a/tests/data/mnist.npz b/tests/data/mnist.npz
new file mode 100644
index 0000000000000000000000000000000000000000..e7baa20481bd88df823aa35f8557385c5d971926
GIT binary patch
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HcmV?d00001

diff --git a/tests/test_keras_core.py b/tests/test_keras_core.py
new file mode 100644
index 00000000..bedeefb0
--- /dev/null
+++ b/tests/test_keras_core.py
@@ -0,0 +1,76 @@
+import unittest
+
+import numpy as np
+import os
+
+os.environ["KERAS_BACKEND"] = "jax" 
+
+# Note that keras_core should only be imported after the backend
+# has been configured. The backend cannot be changed once the
+# package is imported.
+import keras_core as keras
+
+class TestKerasCore(unittest.TestCase):
+    def test_train(self):
+        # Load the data and split it between train and test sets
+        (x_train, y_train), (x_test, y_test) = keras.datasets.mnist.load_data(
+            path='/input/tests/data/mnist.npz'
+        )
+
+        # Scale images to the [0, 1] range
+        x_train = x_train.astype("float32") / 255
+        x_train = x_train[:100, :]
+        y_train = y_train[:100]
+        x_test = x_test.astype("float32") / 255
+        x_test = x_test[:100, :]
+        y_test = y_test[:100]
+        # Make sure images have shape (28, 28, 1)
+        x_train = np.expand_dims(x_train, -1)
+        x_test = np.expand_dims(x_test, -1)
+
+        # Model parameters
+        num_classes = 10
+        input_shape = (28, 28, 1)
+
+        model = keras.Sequential(
+            [
+                keras.layers.Input(shape=input_shape),
+                keras.layers.Conv2D(64, kernel_size=(3, 3), activation="relu"),
+                keras.layers.Conv2D(64, kernel_size=(3, 3), activation="relu"),
+                keras.layers.MaxPooling2D(pool_size=(2, 2)),
+                keras.layers.Conv2D(128, kernel_size=(3, 3), activation="relu"),
+                keras.layers.Conv2D(128, kernel_size=(3, 3), activation="relu"),
+                keras.layers.GlobalAveragePooling2D(),
+                keras.layers.Dropout(0.5),
+                keras.layers.Dense(num_classes, activation="softmax"),
+            ]
+        )
+
+        model.compile(
+            loss=keras.losses.SparseCategoricalCrossentropy(),
+            optimizer=keras.optimizers.Adam(learning_rate=1e-3),
+            metrics=[
+                keras.metrics.SparseCategoricalAccuracy(name="acc"),
+            ],
+        )
+
+        batch_size = 128
+        epochs = 1
+
+        callbacks = [
+            keras.callbacks.ModelCheckpoint(filepath="model_at_epoch_{epoch}.keras"), # Saves model checkpoint while training
+            keras.callbacks.EarlyStopping(monitor="val_loss", patience=2),
+        ]
+
+        model.fit(
+            x_train,
+            y_train,
+            batch_size=batch_size,
+            epochs=epochs,
+            validation_split=0.15,
+            callbacks=callbacks,
+        )
+        score = model.evaluate(x_test, y_test, verbose=0)
+        print(score)
+        self.assertNotEqual(0, score)
+
diff --git a/tests/test_kerascv.py b/tests/test_kerascv.py
index da3c1d9e..2ae0f438 100644
--- a/tests/test_kerascv.py
+++ b/tests/test_kerascv.py
@@ -1,6 +1,5 @@
 import unittest
 
-import json
 import keras_cv
 import keras
 import numpy as np

From 97d18372d627bad828f4299ca6e3196d6fc8d009 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Mon, 17 Jul 2023 11:19:58 -0400
Subject: [PATCH 1422/1660] Install Keras NLP (#1275)

http://b/291076510
---
 Dockerfile.tmpl                             |  3 ++-
 tests/{test_kerascv.py => test_keras_cv.py} |  0
 tests/test_keras_nlp.py                     | 28 +++++++++++++++++++++
 3 files changed, 30 insertions(+), 1 deletion(-)
 rename tests/{test_kerascv.py => test_keras_cv.py} (100%)
 create mode 100644 tests/test_keras_nlp.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 11994f45..89e638fd 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -529,7 +529,8 @@ RUN pip install flashtext \
         # b/206990323 osmx 1.1.2 requires numpy >= 1.21 which we don't want.
         osmnx==1.1.1 \
         keras-core \
-        keras-cv && \
+        keras-cv \
+        keras-nlp && \
     apt-get -y install libspatialindex-dev
 RUN pip install pytorch-ignite \
         qgrid \
diff --git a/tests/test_kerascv.py b/tests/test_keras_cv.py
similarity index 100%
rename from tests/test_kerascv.py
rename to tests/test_keras_cv.py
diff --git a/tests/test_keras_nlp.py b/tests/test_keras_nlp.py
new file mode 100644
index 00000000..0ee6708b
--- /dev/null
+++ b/tests/test_keras_nlp.py
@@ -0,0 +1,28 @@
+import unittest
+
+import keras_nlp
+import keras
+import numpy as np
+import tensorflow as tf
+
+class TestKerasNLP(unittest.TestCase):
+    def test_fit(self):
+        # From https://keras.io/api/keras_nlp/models/bert/bert_classifier/
+        features = {
+            "token_ids": tf.ones(shape=(2, 12), dtype=tf.int64),
+            "segment_ids": tf.constant(
+                [[0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0]] * 2, shape=(2, 12)
+            ),
+            "padding_mask": tf.constant(
+                [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0]] * 2, shape=(2, 12)
+            ),
+        }
+        labels = [0, 3]
+
+        classifier = keras_nlp.models.BertClassifier.from_preset(
+            'bert_tiny_en_uncased',
+            load_weights=False, # load randomly initialized model from preset architecture with weights
+            preprocessor=None, # to avoid downloading the vocabulary
+            num_classes=4,
+        )
+        classifier.fit(x=features, y=labels, batch_size=2)
\ No newline at end of file

From c8152c2c1bfc0d26b58b4dc013a851f282d8968d Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Mon, 17 Jul 2023 17:00:05 +0000
Subject: [PATCH 1423/1660] upgrade jax

---
 tpu/Dockerfile | 12 +++++++-----
 tpu/config.txt |  3 ++-
 2 files changed, 9 insertions(+), 6 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index ad59618c..84f4d420 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -37,7 +37,7 @@ ENV PYTORCH_LIBTPU=/lib/torch-libtpu.so
 
 # Tensorflow wheel:
 RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl \
-    tensorflow-addons tensorflow-probability tensorflow-io==0.32.0
+    tensorflow-addons tensorflow-probability tensorflow-io
 RUN curl --output /lib/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/${TF_LIBTPU_VERSION}/libtpu.so
 ADD patches/kaggle_module_resolver.py /usr/local/lib/python3.8/site-packages/tensorflow_hub/kaggle_module_resolver.py
 RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py
@@ -47,16 +47,18 @@ RUN sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementa
 # https://cloud.google.com/tpu/docs/pytorch-xla-ug-tpu-vm#changing_pytorch_version
 # The URL doesn't include patch version. i.e. must use 1.11 instead of 1.11.0
 # We need to keep the numpy version the same as the installed tf one but compatible with other installs.
-RUN pip install torch==${TORCH_VERSION} https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-${TORCH_VERSION%.*}-cp38-cp38-linux_x86_64.whl torchvision==${TORCHVISION_VERSION} torchtext==${TORCHTEXT_VERSION} torchaudio==${TORCHAUDIO_VERSION} \
+RUN NUMPYVER=$(pip freeze | grep -e "^numpy==") && \
+    pip install torch==${TORCH_VERSION} https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-${TORCH_VERSION%.*}-cp38-cp38-linux_x86_64.whl torchvision==${TORCHVISION_VERSION} torchtext==${TORCHTEXT_VERSION} torchaudio==${TORCHAUDIO_VERSION} \
     https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl \
-    numpy==1.23.5
+    "${NUMPYVER}"
 
 # Install JAX & related packages
 # https://cloud.google.com/tpu/docs/jax-quickstart-tpu-vm#install_jax_on_your_cloud_tpu_vm
 # We need to keep the numpy version the same as the installed tf one but compatible with other installs.
-RUN pip install jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax elegy git+https://github.com/deepmind/dm-haiku jraph distrax \
+RUN NUMPYVER=$(pip freeze | grep -e "^numpy==") && \
+    pip install jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax elegy git+https://github.com/deepmind/dm-haiku jraph distrax \
     https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl \
-    numpy==1.23.5
+    "${NUMPYVER}"
 
 # Packages needed by the Notebook editor:
 RUN pip install papermill jupyterlab python-lsp-server[all] "jupyter-lsp==1.5.1"
diff --git a/tpu/config.txt b/tpu/config.txt
index 664afcf1..af1f3635 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -1,6 +1,7 @@
+# https://cloud.google.com/tpu/docs/supported-tpu-configurations#tpu_software_versions:~:text=TensorFlow%20version-,libtpu.so%20version,-2.13.0
 TENSORFLOW_VERSION=2.12.0
 TF_LIBTPU_VERSION=1.6.0
-JAX_VERSION=0.4.6
+JAX_VERSION=0.4.13
 # Supports nightly
 TORCH_VERSION=2.0.0
 # https://github.com/pytorch/audio supports nightly

From 53be668e30cc1995236ea9c5bd2249270cb27bbc Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Szabolcs=20Horv=C3=A1t?= <szhorvat@gmail.com>
Date: Wed, 19 Jul 2023 23:39:28 +0200
Subject: [PATCH 1424/1660] change python-igraph to igraph

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 89e638fd..8afa7c75 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -179,7 +179,7 @@ RUN pip install pycuda \
 {{ end }}
 
 RUN JAXVER=$(pip freeze | grep -e "^jax==") && \
-    pip install seaborn python-dateutil dask python-igraph \
+    pip install seaborn python-dateutil dask igraph \
         pyyaml joblib husl geopy mne pyshp \
         pandas \
         polars \

From a1fc1859052b888642533aedd2925e6bcbe01742 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Wed, 19 Jul 2023 18:02:48 -0400
Subject: [PATCH 1425/1660] Increase timeout for T4 test (#1277)

---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 4155233a..f6a69004 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -150,7 +150,7 @@ pipeline {
                 stage('Test on T4x2') {
                   agent { label 'ephemeral-linux-gpu-t4x2' }
                   options {
-                    timeout(time: 30, unit: 'MINUTES')
+                    timeout(time: 60, unit: 'MINUTES')
                   }
                   steps {
                     sh '''#!/bin/bash

From 2a8c4dd18e9ac4dee6d9dbcd5c55a7e4da83b43d Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Mon, 31 Jul 2023 11:16:37 -0400
Subject: [PATCH 1426/1660] Add retry block for tests (#1279)

---
 Jenkinsfile | 46 ++++++++++++++++++++++++++--------------------
 1 file changed, 26 insertions(+), 20 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index f6a69004..badcd9eb 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -82,16 +82,18 @@ pipeline {
             }
             stage('Test CPU Image') {
               options {
-                timeout(time: 10, unit: 'MINUTES')
+                timeout(time: 15, unit: 'MINUTES')
               }
               steps {
-                sh '''#!/bin/bash
-                  set -exo pipefail
+                retry(2) {
+                  sh '''#!/bin/bash
+                    set -exo pipefail
 
-                  date
-                  docker pull gcr.io/kaggle-images/python:${PRETEST_TAG}
-                  ./test --image gcr.io/kaggle-images/python:${PRETEST_TAG}
-                '''
+                    date
+                    docker pull gcr.io/kaggle-images/python:${PRETEST_TAG}
+                    ./test --image gcr.io/kaggle-images/python:${PRETEST_TAG}
+                  '''
+                }
               }
             }
             stage('Diff CPU image') {
@@ -135,16 +137,18 @@ pipeline {
                 stage('Test on P100') {
                   agent { label 'ephemeral-linux-gpu' }
                   options {
-                    timeout(time: 30, unit: 'MINUTES')
+                    timeout(time: 40, unit: 'MINUTES')
                   }
                   steps {
-                    sh '''#!/bin/bash
-                      set -exo pipefail
+                    retry(2) {
+                      sh '''#!/bin/bash
+                        set -exo pipefail
 
-                      date
-                      docker pull gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
-                      ./test --gpu --image gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
-                    '''
+                        date
+                        docker pull gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
+                        ./test --gpu --image gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
+                      '''
+                    }
                   }
                 }
                 stage('Test on T4x2') {
@@ -153,13 +157,15 @@ pipeline {
                     timeout(time: 60, unit: 'MINUTES')
                   }
                   steps {
-                    sh '''#!/bin/bash
-                      set -exo pipefail
+                    retry(2) {
+                      sh '''#!/bin/bash
+                        set -exo pipefail
 
-                      date
-                      docker pull gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
-                      ./test --gpu --image gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
-                    '''
+                        date
+                        docker pull gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
+                        ./test --gpu --image gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
+                      '''
+                    }
                   }
                 }
               }

From ba3353520480c077f1d9baa2a4274a903ba534d6 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 9 Aug 2023 10:42:45 -0400
Subject: [PATCH 1427/1660] #1281 numba mvc support

---
 Dockerfile.tmpl | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 8afa7c75..71b703e1 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -261,6 +261,10 @@ RUN pip install scipy \
     apt-get install -y pandoc && \
     pip install essentia
 
+# #1281 Install numba MVC support:
+pip install ptxcompiler-cu11 cubinlinker-cu11 --extra-index-url=https://pypi.nvidia.com
+ENV NUMBA_CUDA_ENABLE_MINOR_VERSION_COMPATIBILITY=1
+
 RUN apt-get install -y git-lfs && \
     /tmp/clean-layer.sh
 

From b18979370290d971eb384fb8150464a8db7540cb Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 9 Aug 2023 11:30:14 -0400
Subject: [PATCH 1428/1660] Single pip install for compatibility

http://b/293471770
---
 tpu/Dockerfile | 39 +++++++++++++++++----------------------
 1 file changed, 17 insertions(+), 22 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 84f4d420..a6fc964b 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -31,40 +31,35 @@ ADD patches/kaggle_datasets.py /root/.local/lib/python3.8/site-packages/kaggle_d
 # sitecustomize adds significant latency to ipython kernel startup and should only be added if needed
 # ADD patches/sitecustomize.py /root/.local/lib/python3.8/site-packages/sitecustomize.py
 
-# LIBTPU installed here:
-ENV PIP_LIBTPU=/usr/local/lib/python3.8/site-packages/libtpu/libtpu.so
-ENV PYTORCH_LIBTPU=/lib/torch-libtpu.so
+# Install them all the following together for maximum compatibility.
 
-# Tensorflow wheel:
-RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl \
-    tensorflow-addons tensorflow-probability tensorflow-io
-RUN curl --output /lib/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/${TF_LIBTPU_VERSION}/libtpu.so
-ADD patches/kaggle_module_resolver.py /usr/local/lib/python3.8/site-packages/tensorflow_hub/kaggle_module_resolver.py
-RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py
-RUN sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py
+# Install Tensorflow.
 
 # Install Pytorch & related packages
 # https://cloud.google.com/tpu/docs/pytorch-xla-ug-tpu-vm#changing_pytorch_version
 # The URL doesn't include patch version. i.e. must use 1.11 instead of 1.11.0
 # We need to keep the numpy version the same as the installed tf one but compatible with other installs.
-RUN NUMPYVER=$(pip freeze | grep -e "^numpy==") && \
-    pip install torch==${TORCH_VERSION} https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-${TORCH_VERSION%.*}-cp38-cp38-linux_x86_64.whl torchvision==${TORCHVISION_VERSION} torchtext==${TORCHTEXT_VERSION} torchaudio==${TORCHAUDIO_VERSION} \
-    https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl \
-    "${NUMPYVER}"
 
 # Install JAX & related packages
 # https://cloud.google.com/tpu/docs/jax-quickstart-tpu-vm#install_jax_on_your_cloud_tpu_vm
-# We need to keep the numpy version the same as the installed tf one but compatible with other installs.
-RUN NUMPYVER=$(pip freeze | grep -e "^numpy==") && \
+
+# Packages needed by the Notebook editor
+
+# Additional useful packages should be added here
+
+RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl tensorflow-addons tensorflow-probability tensorflow-io \
+    pip install torch==${TORCH_VERSION} https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-${TORCH_VERSION%.*}-cp38-cp38-linux_x86_64.whl torchvision==${TORCHVISION_VERSION} torchtext==${TORCHTEXT_VERSION} torchaudio==${TORCHAUDIO_VERSION} \
     pip install jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax elegy git+https://github.com/deepmind/dm-haiku jraph distrax \
-    https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl \
-    "${NUMPYVER}"
+    papermill jupyterlab python-lsp-server[all] "jupyter-lsp==1.5.1" \
+    pandas matplotlib opencv-python-headless librosa scikit-learn
 
-# Packages needed by the Notebook editor:
-RUN pip install papermill jupyterlab python-lsp-server[all] "jupyter-lsp==1.5.1"
+# Tensorflow libtpu:
+RUN curl --output /lib/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/${TF_LIBTPU_VERSION}/libtpu.so
 
-# Additional useful packages should be added here:
-RUN pip install pandas matplotlib opencv-python-headless librosa scikit-learn
+# Kaggle Model Hub patches:
+ADD patches/kaggle_module_resolver.py /usr/local/lib/python3.8/site-packages/tensorflow_hub/kaggle_module_resolver.py
+RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py
+RUN sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py
 
 # Monkey-patch the default TPU to the local (TPU VM).
 RUN sed -i 's/tpu=None,/tpu="local",/' /usr/local/lib/python3.8/site-packages/tensorflow/python/distribute/cluster_resolver/tpu/tpu_cluster_resolver.py

From e26000737c4ebab4c7565d2358cffeb2fa7346ec Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Thu, 10 Aug 2023 14:25:50 -0400
Subject: [PATCH 1429/1660] fix comment

---
 tpu/Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index a6fc964b..b60d7b8b 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -31,7 +31,7 @@ ADD patches/kaggle_datasets.py /root/.local/lib/python3.8/site-packages/kaggle_d
 # sitecustomize adds significant latency to ipython kernel startup and should only be added if needed
 # ADD patches/sitecustomize.py /root/.local/lib/python3.8/site-packages/sitecustomize.py
 
-# Install them all the following together for maximum compatibility.
+# Install all the packages together for maximum compatibility.
 
 # Install Tensorflow.
 

From 5324ff373cda3db7989f69805d28cb6b40297572 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Thu, 10 Aug 2023 15:53:37 -0400
Subject: [PATCH 1430/1660] Add RUN

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 71b703e1..226d45a2 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -262,7 +262,7 @@ RUN pip install scipy \
     pip install essentia
 
 # #1281 Install numba MVC support:
-pip install ptxcompiler-cu11 cubinlinker-cu11 --extra-index-url=https://pypi.nvidia.com
+RUN pip install ptxcompiler-cu11 cubinlinker-cu11 --extra-index-url=https://pypi.nvidia.com
 ENV NUMBA_CUDA_ENABLE_MINOR_VERSION_COMPATIBILITY=1
 
 RUN apt-get install -y git-lfs && \

From 31a7b6a56ee3e0153667efdb5d884edc897b27ee Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Thu, 10 Aug 2023 16:43:11 -0400
Subject: [PATCH 1431/1660] Fix numpy version

http://b/293471770
---
 tpu/Dockerfile | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index b60d7b8b..1e56da16 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -48,8 +48,9 @@ ADD patches/kaggle_datasets.py /root/.local/lib/python3.8/site-packages/kaggle_d
 # Additional useful packages should be added here
 
 RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl tensorflow-addons tensorflow-probability tensorflow-io \
-    pip install torch==${TORCH_VERSION} https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-${TORCH_VERSION%.*}-cp38-cp38-linux_x86_64.whl torchvision==${TORCHVISION_VERSION} torchtext==${TORCHTEXT_VERSION} torchaudio==${TORCHAUDIO_VERSION} \
-    pip install jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax elegy git+https://github.com/deepmind/dm-haiku jraph distrax \
+    torch==${TORCH_VERSION} https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-${TORCH_VERSION%.*}-cp38-cp38-linux_x86_64.whl torchvision==${TORCHVISION_VERSION} torchtext==${TORCHTEXT_VERSION} torchaudio==${TORCHAUDIO_VERSION} \
+    jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax elegy git+https://github.com/deepmind/dm-haiku jraph distrax \
+    numpy==1.23.5 \
     papermill jupyterlab python-lsp-server[all] "jupyter-lsp==1.5.1" \
     pandas matplotlib opencv-python-headless librosa scikit-learn
 

From 7681c8236393fa6ed993193ff6f929be17e3afdd Mon Sep 17 00:00:00 2001
From: Prathamesh Bang <psbang@google.com>
Date: Thu, 10 Aug 2023 21:50:09 +0000
Subject: [PATCH 1432/1660] Remove commands for slack

---
 Jenkinsfile | 11 ++++-------
 1 file changed, 4 insertions(+), 7 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index badcd9eb..10ebe3c6 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -14,7 +14,7 @@ pipeline {
     GIT_COMMIT_SUBJECT = sh(returnStdout: true, script:"git log --format=%s -n 1 HEAD").trim()
     GIT_COMMIT_AUTHOR = sh(returnStdout: true, script:"git log --format='%an' -n 1 HEAD").trim()
     GIT_COMMIT_SUMMARY = "`<https://github.com/Kaggle/docker-python/commit/${GIT_COMMIT}|${GIT_COMMIT_SHORT}>` ${GIT_COMMIT_SUBJECT} - ${GIT_COMMIT_AUTHOR}"
-    SLACK_CHANNEL = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"main\" ]]; then echo \"#kernelops\"; else echo \"#builds\"; fi").trim()
+    MATTERMOST_CHANNEL = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"main\" ]]; then echo \"#kernelops\"; else echo \"#builds\"; fi").trim()
     PRETEST_TAG = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"main\" ]]; then echo \"ci-pretest\"; else echo \"${GIT_BRANCH}-pretest\"; fi").trim()
     STAGING_TAG = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"main\" ]]; then echo \"staging\"; else echo \"${GIT_BRANCH}-staging\"; fi").trim()
   }
@@ -237,16 +237,13 @@ pipeline {
 
   post {
     failure {
-      slackSend color: 'danger', message: "*<${env.BUILD_URL}console|${JOB_NAME} failed>* ${GIT_COMMIT_SUMMARY} @kernels-backend-ops", channel: env.SLACK_CHANNEL
-      mattermostSend color: 'danger', message: "*<${env.BUILD_URL}console|${JOB_NAME} failed>* ${GIT_COMMIT_SUMMARY} @kernels-backend-ops", channel: env.SLACK_CHANNEL
+      mattermostSend color: 'danger', message: "*<${env.BUILD_URL}console|${JOB_NAME} failed>* ${GIT_COMMIT_SUMMARY} @kernels-backend-ops", channel: env.MATTERMOST_CHANNEL
     }
     success {
-      slackSend color: 'good', message: "*<${env.BUILD_URL}console|${JOB_NAME} passed>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
-      mattermostSend color: 'good', message: "*<${env.BUILD_URL}console|${JOB_NAME} passed>* ${GIT_COMMIT_SUMMARY} @kernels-backend-ops", channel: env.SLACK_CHANNEL
+      mattermostSend color: 'good', message: "*<${env.BUILD_URL}console|${JOB_NAME} passed>* ${GIT_COMMIT_SUMMARY} @kernels-backend-ops", channel: env.MATTERMOST_CHANNEL
     }
     aborted {
-      slackSend color: 'warning', message: "*<${env.BUILD_URL}console|${JOB_NAME} aborted>* ${GIT_COMMIT_SUMMARY}", channel: env.SLACK_CHANNEL
-      mattermostSend color: 'warning', message: "*<${env.BUILD_URL}console|${JOB_NAME} aborted>* ${GIT_COMMIT_SUMMARY} @kernels-backend-ops", channel: env.SLACK_CHANNEL
+      mattermostSend color: 'warning', message: "*<${env.BUILD_URL}console|${JOB_NAME} aborted>* ${GIT_COMMIT_SUMMARY} @kernels-backend-ops", channel: env.MATTERMOST_CHANNEL
     }
   }
 }

From d717a8b7244806f1c475d7ad99ce567cb1e025ed Mon Sep 17 00:00:00 2001
From: Prathamesh Bang <psbang@google.com>
Date: Fri, 11 Aug 2023 14:10:41 +0000
Subject: [PATCH 1433/1660] Use pip instead of mamba

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 8afa7c75..dbeb33ef 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -109,7 +109,7 @@ RUN pip uninstall -y pyarrow && \
 
 # Install implicit
 {{ if eq .Accelerator "gpu" }}
-RUN mamba install -y implicit implicit-proc=*=gpu && \
+RUN pip install implicit && \
     /tmp/clean-layer.sh
 {{ else }}
 RUN mamba install -y implicit && \

From 40f86f8eb0227592096c9615bf845041ad4c728b Mon Sep 17 00:00:00 2001
From: Prathamesh Bang <psbang@google.com>
Date: Fri, 11 Aug 2023 14:26:29 +0000
Subject: [PATCH 1434/1660] Remove implicit

---
 Dockerfile.tmpl | 9 ---------
 1 file changed, 9 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index dbeb33ef..1ba24966 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -107,15 +107,6 @@ RUN pip uninstall -y pyarrow && \
     /tmp/clean-layer.sh
 {{ end }}
 
-# Install implicit
-{{ if eq .Accelerator "gpu" }}
-RUN pip install implicit && \
-    /tmp/clean-layer.sh
-{{ else }}
-RUN mamba install -y implicit && \
-    /tmp/clean-layer.sh
-{{ end}}
-
 # Install PyTorch
 {{ if eq .Accelerator "gpu" }}
 COPY --from=torch_whl /tmp/whl/*.whl /tmp/torch/

From 94d25522d134d60f6adfb11ff8606a054979a2b9 Mon Sep 17 00:00:00 2001
From: Prathamesh Bang <psbang@google.com>
Date: Fri, 11 Aug 2023 14:28:24 +0000
Subject: [PATCH 1435/1660] Delete tests for implicit

---
 tests/test_implicit.py | 38 --------------------------------------
 1 file changed, 38 deletions(-)
 delete mode 100644 tests/test_implicit.py

diff --git a/tests/test_implicit.py b/tests/test_implicit.py
deleted file mode 100644
index 9ab5bbf4..00000000
--- a/tests/test_implicit.py
+++ /dev/null
@@ -1,38 +0,0 @@
-import unittest
-
-import numpy as np
-
-from implicit.als import AlternatingLeastSquares
-from scipy.sparse import csr_matrix
-
-
-class TestImplicit(unittest.TestCase):
-    def test_model(self):
-        raw = [
-            [0.0, 2.0, 1.5, 1.33333333, 1.25, 1.2, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
-            [0.0, 0.0, 2.0, 1.5, 1.33333333, 1.25, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
-            [0.0, 0.0, 0.0, 2.0, 1.5, 1.33333333, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
-            [0.0, 0.0, 0.0, 0.0, 2.0, 1.5, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
-            [0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
-            [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
-            [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 1.5, 1.33333333, 1.25, 1.2],
-            [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 1.5, 1.33333333, 1.25],
-            [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 1.5, 1.33333333],
-            [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 1.5],
-            [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0],
-            [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
-        ]
-        counts = csr_matrix(raw, dtype=np.float64)
-
-        model = AlternatingLeastSquares(factors=3)
-        model.fit(counts, show_progress=False)
-        rows, cols = model.item_factors, model.user_factors
-
-        assert not np.isnan(np.sum(tonumpy(cols)))
-        assert not np.isnan(np.sum(tonumpy(rows)))
-
-
-def tonumpy(x):
-    if hasattr(x, 'to_numpy'):
-        return x.to_numpy()
-    return x

From d55f27a5ffa7791e52d19d164e77435b3bd88a67 Mon Sep 17 00:00:00 2001
From: Prathamesh Bang <psbang@google.com>
Date: Fri, 11 Aug 2023 16:50:14 +0000
Subject: [PATCH 1436/1660] Fix cpu and gpu builds

---
 Dockerfile.tmpl | 10 ++++++++--
 1 file changed, 8 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 1ba24966..c4739f40 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -74,7 +74,7 @@ RUN pip uninstall -y horovod && \
 RUN curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key add -
 RUN curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key --keyring /usr/share/keyrings/cloud.google.gpg add -
 
-# Use a fixed apt-get repo to stop intermittent failures due to flaky httpredir connections,
+# Use a fixed repo to stop intermittent failures due to flaky httpredir connections,
 # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
 RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \
     apt-get update && \
@@ -163,7 +163,9 @@ RUN pip install spacy && \
 {{ if eq .Accelerator "gpu" }}
 # Install GPU-only packages
 # No specific package for nnabla-ext-cuda 11.x minor versions.
-RUN pip install pycuda \
+RUN export PATH=/usr/local/cuda/bin:$PATH && \
+    export CUDA_ROOT=/usr/local/cuda && \
+    pip install pycuda \
         pynvrtc \
         pynvml && \
     /tmp/clean-layer.sh
@@ -637,7 +639,11 @@ RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tens
 #    python -m nb_conda_kernels.install --disable
 
 # Force only one libcusolver
+{{ if eq .Accelerator "gpu" }}
 RUN rm /opt/conda/bin/../lib/libcusolver.so.11 && ln -s /usr/local/cuda/lib64/libcusolver.so.11 /opt/conda/bin/../lib/libcusolver.so.11
+{{ else }}
+RUN ln -s /usr/local/cuda/lib64/libcusolver.so.11 /opt/conda/bin/../lib/libcusolver.so.11
+{{ end }}
 
 # b/270147159 conda ships with a version of libtinfo which is missing version info causing warnings, replace it with a good version.
 RUN rm /opt/conda/lib/libtinfo.so.6 && ln -s /usr/lib/x86_64-linux-gnu/libtinfo.so.6 /opt/conda/lib/libtinfo.so.6

From 53b195ca4428ac9f911beb8df447caa905b2cf37 Mon Sep 17 00:00:00 2001
From: Prathamesh Bang <psbang@google.com>
Date: Fri, 11 Aug 2023 16:53:52 +0000
Subject: [PATCH 1437/1660] fix merge issues

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index c4739f40..0af5548d 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -74,7 +74,7 @@ RUN pip uninstall -y horovod && \
 RUN curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key add -
 RUN curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key --keyring /usr/share/keyrings/cloud.google.gpg add -
 
-# Use a fixed repo to stop intermittent failures due to flaky httpredir connections,
+# Use a fixed apt-get repo to stop intermittent failures due to flaky httpredir connections,
 # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
 RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \
     apt-get update && \

From 79b7bd40c2899bad80bff13c23508220ad6ef2e9 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 14 Aug 2023 14:24:41 -0400
Subject: [PATCH 1438/1660] Add TPU deps from PyTorch example

https://www.kaggle.com/code/wcromar/pytorch-xla-2-0-on-kaggle/notebook?scriptVersionId=124841632
---
 tpu/Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 1e56da16..bf3193d6 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -52,7 +52,7 @@ RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-ar
     jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax elegy git+https://github.com/deepmind/dm-haiku jraph distrax \
     numpy==1.23.5 \
     papermill jupyterlab python-lsp-server[all] "jupyter-lsp==1.5.1" \
-    pandas matplotlib opencv-python-headless librosa scikit-learn
+    pandas matplotlib opencv-python-headless librosa scikit-learn accelerate diffusers transformers
 
 # Tensorflow libtpu:
 RUN curl --output /lib/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/${TF_LIBTPU_VERSION}/libtpu.so

From c195472421566fa84aeeb876ae1d6498daa444e6 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 16 Aug 2023 09:31:35 -0400
Subject: [PATCH 1439/1660] Only enable numba mvc on GPU image

---
 Dockerfile.tmpl | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 8fda99df..5597ff59 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -254,9 +254,11 @@ RUN pip install scipy \
     apt-get install -y pandoc && \
     pip install essentia
 
+{{ if eq .Accelerator "gpu" }}
 # #1281 Install numba MVC support:
 RUN pip install ptxcompiler-cu11 cubinlinker-cu11 --extra-index-url=https://pypi.nvidia.com
 ENV NUMBA_CUDA_ENABLE_MINOR_VERSION_COMPATIBILITY=1
+{{ end }}
 
 RUN apt-get install -y git-lfs && \
     /tmp/clean-layer.sh

From a56b8dd416cf5809af6c7a146468aeea10c2d0c6 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 16 Aug 2023 08:50:18 -0700
Subject: [PATCH 1440/1660] Add printenv to docker image diff script. (#1290)

Useful to see if any environment variables have changed between two
docker images.
---
 diff | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/diff b/diff
index 19b9ab1e..c0eb2e18 100755
--- a/diff
+++ b/diff
@@ -98,7 +98,7 @@ if [[ -n "$PACKAGE_NAME" ]]; then
     echo "Package: $PACKAGE_NAME"
     CMDS=("python /tools/pip_list_versions.py $PACKAGE_NAME | sort")
 else
-    CMDS=("pip list --format=freeze" 'cat /etc/os-release | grep -oP "PRETTY_NAME=\"\K([^\"]*)"' "uname -r" "dpkg --list | awk '{print \$2\"==\"\$3}'")
+    CMDS=("pip list --format=freeze" 'cat /etc/os-release | grep -oP "PRETTY_NAME=\"\K([^\"]*)"' "uname -r" "dpkg --list | awk '{print \$2\"==\"\$3}'" "printenv | sort")
 fi
 
 for cmd in "${CMDS[@]}"; do

From a0a48542bc25420ce0719dc06febce4e7b9f49e2 Mon Sep 17 00:00:00 2001
From: Nesh Devanathan <neshdev@google.com>
Date: Thu, 17 Aug 2023 00:58:21 -0400
Subject: [PATCH 1441/1660] Reorder cupy to ensure that cupy is installed with
 respective cuda version.

The base docker image contains two cuda installations which is causing errors for `cupy` package.
---
 Dockerfile.tmpl | 19 ++++++++++---------
 1 file changed, 10 insertions(+), 9 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 5597ff59..7eeb3fdc 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -99,6 +99,14 @@ RUN conda config --add channels nvidia && \
     mamba install -y mkl cartopy imagemagick pyproj "shapely<2" && \
     /tmp/clean-layer.sh
 
+# Install spacy
+{{ if eq .Accelerator "gpu" }}
+RUN mamba install -y -c conda-forge spacy cupy cuda-version=11.8 && \
+    /tmp/clean-layer.sh
+{{ else }}
+RUN pip install spacy && \
+    /tmp/clean-layer.sh
+{{ end}}
 {{ if eq .Accelerator "gpu" }}
 
 # b/232247930: uninstall pyarrow to avoid double installation with the GPU specific version.
@@ -126,6 +134,7 @@ RUN pip install \
     /tmp/clean-layer.sh
 {{ end }}
 
+
 # Install LightGBM
 {{ if eq .Accelerator "gpu" }}
 COPY --from=lightgbm_whl /tmp/whl/*.whl /tmp/lightgbm/
@@ -150,14 +159,6 @@ RUN pip install jax[cpu] && \
     /tmp/clean-layer.sh
 {{ end }}
 
-# Install spacy
-{{ if eq .Accelerator "gpu" }}
-RUN mamba install -y -c conda-forge spacy cupy && \
-    /tmp/clean-layer.sh
-{{ else }}
-RUN pip install spacy && \
-    /tmp/clean-layer.sh
-{{ end}}
 
 # Install GPU specific packages
 {{ if eq .Accelerator "gpu" }}
@@ -678,4 +679,4 @@ RUN echo "$GIT_COMMIT" > /etc/git_commit && echo "$BUILD_DATE" > /etc/build_date
 {{ if eq .Accelerator "gpu" }}
 # Remove the CUDA stubs.
 ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH_NO_STUBS"
-{{ end }}
+{{ end }}
\ No newline at end of file

From 5833c37a015b627ee314fca2a2b4117e59d2cd9f Mon Sep 17 00:00:00 2001
From: Nesh Devanathan <neshdev@google.com>
Date: Thu, 17 Aug 2023 13:44:59 -0400
Subject: [PATCH 1442/1660] Use variables for major and minor version of cuda

---
 Dockerfile.tmpl | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 7eeb3fdc..226cd237 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -101,7 +101,7 @@ RUN conda config --add channels nvidia && \
 
 # Install spacy
 {{ if eq .Accelerator "gpu" }}
-RUN mamba install -y -c conda-forge spacy cupy cuda-version=11.8 && \
+RUN mamba install -y -c conda-forge spacy cupy cuda-version=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION && \
     /tmp/clean-layer.sh
 {{ else }}
 RUN pip install spacy && \
@@ -134,7 +134,6 @@ RUN pip install \
     /tmp/clean-layer.sh
 {{ end }}
 
-
 # Install LightGBM
 {{ if eq .Accelerator "gpu" }}
 COPY --from=lightgbm_whl /tmp/whl/*.whl /tmp/lightgbm/

From d9d1e25c8d59d94bbfc74c015e3eacb77739b51e Mon Sep 17 00:00:00 2001
From: Nesh Devanathan <neshdev@google.com>
Date: Thu, 17 Aug 2023 15:25:50 -0400
Subject: [PATCH 1443/1660] Added fix for failing test cases

`cudf/api/types.py` has nominal impact to other packages.
---
 Dockerfile.tmpl | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 226cd237..c4df4612 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -113,6 +113,12 @@ RUN pip install spacy && \
 RUN pip uninstall -y pyarrow && \
     mamba install -y cudf cuml && \
     /tmp/clean-layer.sh
+
+# TODO(neshdev): Resolve pandas dependency another way
+RUN cat /opt/conda/lib/python3.10/site-packages/cudf/api/types.py \
+    | sed 's/^is_extension_type/# is_extension_type/g' \
+    | sed 's/^is_categorical/# is_categorical/g' \
+    > /opt/conda/lib/python3.10/site-packages/cudf/api/types.py
 {{ end }}
 
 # Install PyTorch

From 213a24aaacb0c6150bc9934f18088e26ec3714db Mon Sep 17 00:00:00 2001
From: Nesh Devanathan <neshdev@google.com>
Date: Thu, 17 Aug 2023 15:44:58 -0400
Subject: [PATCH 1444/1660] Change sed command to update the file inplace.

pipe-ing to the file was causing an empty file.
---
 Dockerfile.tmpl | 8 +++-----
 1 file changed, 3 insertions(+), 5 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index c4df4612..38c87e69 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -114,11 +114,9 @@ RUN pip uninstall -y pyarrow && \
     mamba install -y cudf cuml && \
     /tmp/clean-layer.sh
 
-# TODO(neshdev): Resolve pandas dependency another way
-RUN cat /opt/conda/lib/python3.10/site-packages/cudf/api/types.py \
-    | sed 's/^is_extension_type/# is_extension_type/g' \
-    | sed 's/^is_categorical/# is_categorical/g' \
-    > /opt/conda/lib/python3.10/site-packages/cudf/api/types.py
+# TODO: b/296444923 - Resolve pandas dependency another way
+RUN sed -i 's/^is_extension_type/# is_extension_type/g' /opt/conda/lib/python3.10/site-packages/cudf/api/types.py \
+    && sed -i 's/^is_categorical/# is_categorical/g' /opt/conda/lib/python3.10/site-packages/cudf/api/types.py
 {{ end }}
 
 # Install PyTorch

From 226ac688021162bc18d1f20db5ea0b192ad195b1 Mon Sep 17 00:00:00 2001
From: Nesh Devanathan <neshdev@google.com>
Date: Thu, 17 Aug 2023 18:33:24 -0400
Subject: [PATCH 1445/1660] Change H2O to resolve via conda and bundle tf into
 its own layer

---
 Dockerfile.tmpl | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 38c87e69..e4f54547 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -183,10 +183,8 @@ RUN JAXVER=$(pip freeze | grep -e "^jax==") && \
         flax \
         "${JAXVER}" && \
 
-    # Install h2o from source.
-    # Use `conda install -c h2oai h2o` once Python 3.7 version is released to conda.
-    apt-get install -y default-jre-headless && \
-    pip install -f https://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html h2o \
+RUN conda install -c h2oai h2o && /tmp/clean-layer.sh
+RUN pip install \
         "tensorflow-gcs-config<=${TENSORFLOW_VERSION}" \
         "tensorflow==${TENSORFLOW_VERSION}" \
         tensorflow-addons \

From 5ebeb5551523c0bdd0e0b43bca54dde0cf7a492e Mon Sep 17 00:00:00 2001
From: Nesh Devanathan <neshdev@google.com>
Date: Fri, 18 Aug 2023 01:15:50 +0000
Subject: [PATCH 1446/1660] Fix syntax error when trying to partition pacakge

---
 Dockerfile.tmpl | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index e4f54547..301464a1 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -181,9 +181,10 @@ RUN JAXVER=$(pip freeze | grep -e "^jax==") && \
         pandas \
         polars \
         flax \
-        "${JAXVER}" && \
+        "${JAXVER}"
 
 RUN conda install -c h2oai h2o && /tmp/clean-layer.sh
+
 RUN pip install \
         "tensorflow-gcs-config<=${TENSORFLOW_VERSION}" \
         "tensorflow==${TENSORFLOW_VERSION}" \

From 911b5082e40402285a7f798359762eb8dc5ba43d Mon Sep 17 00:00:00 2001
From: Nesh Devanathan <neshdev@google.com>
Date: Fri, 18 Aug 2023 02:35:15 +0000
Subject: [PATCH 1447/1660] h20 for python3.10 is unavailable in conda.

Use pip installation.
---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 301464a1..a5cb8ef1 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -183,7 +183,7 @@ RUN JAXVER=$(pip freeze | grep -e "^jax==") && \
         flax \
         "${JAXVER}"
 
-RUN conda install -c h2oai h2o && /tmp/clean-layer.sh
+RUN pip install -f http://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html h2o && /tmp/clean-layer.sh
 
 RUN pip install \
         "tensorflow-gcs-config<=${TENSORFLOW_VERSION}" \

From 1318e3374920defb10450a3ef27dd10a4a372b40 Mon Sep 17 00:00:00 2001
From: Nesh Devanathan <neshdev@google.com>
Date: Fri, 18 Aug 2023 04:01:20 +0000
Subject: [PATCH 1448/1660] h2o package needs java jre

---
 Dockerfile.tmpl | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index a5cb8ef1..4d75a47a 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -183,6 +183,8 @@ RUN JAXVER=$(pip freeze | grep -e "^jax==") && \
         flax \
         "${JAXVER}"
 
+RUN apt-get install -y default-jre
+
 RUN pip install -f http://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html h2o && /tmp/clean-layer.sh
 
 RUN pip install \
@@ -251,7 +253,6 @@ RUN pip install scipy \
         datashader \
         # Boruta (python implementation)
         Boruta && \
-
     apt-get install -y graphviz && pip install graphviz && \
     # Pandoc is a dependency of deap
     apt-get install -y pandoc && \
@@ -473,6 +474,7 @@ RUN pip install bleach \
         pyarrow \
         feather-format \
         fastai
+
 RUN python -m spacy download en_core_web_sm && python -m spacy download en_core_web_lg && \
     apt-get update && apt-get install -y ffmpeg && \
     /tmp/clean-layer.sh

From cf60eda37be580511e9fc4b3ca7a25de40ee9f71 Mon Sep 17 00:00:00 2001
From: Dhinesh Kumar Devanathan <neshdev@google.com>
Date: Thu, 24 Aug 2023 09:14:55 -0400
Subject: [PATCH 1449/1660] Docker image with incremental updates (#1294)

* Add layer pruning and sync tf-io with tf

* Upgrade to tf=2.13.0

Resolved bq_helper package which was broken as a side effect from the upgrade.

* Removed tensorflow-gcs-config package and test.

Package is being used minimally. See b/296908146#comment9

* Revert tf=2.12

Remove test for `tensorflow_gcs_config`
---
 Dockerfile.tmpl                      | 22 +++++++++++++----
 tests/test_imports.py                |  1 -
 tests/test_tensorflow_credentials.py | 37 ----------------------------
 3 files changed, 17 insertions(+), 43 deletions(-)
 delete mode 100644 tests/test_tensorflow_credentials.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 4d75a47a..20b05e9e 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -37,6 +37,8 @@ RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/lib
 
 # Keep these variables in sync if base image is updated.
 ENV TENSORFLOW_VERSION=2.12.0
+# See https://github.com/tensorflow/io#tensorflow-version-compatibility
+ENV TENSORFLOW_IO_VERSION=0.32.0
 
 # We need to redefine the ARG here to get the ARG value defined above the FROM instruction.
 # See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
@@ -181,15 +183,17 @@ RUN JAXVER=$(pip freeze | grep -e "^jax==") && \
         pandas \
         polars \
         flax \
-        "${JAXVER}"
+        "${JAXVER}" && \
+    /tmp/clean-layer.sh
 
-RUN apt-get install -y default-jre
+RUN apt-get install -y default-jre && \
+    /tmp/clean-layer.sh
 
 RUN pip install -f http://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html h2o && /tmp/clean-layer.sh
 
 RUN pip install \
-        "tensorflow-gcs-config<=${TENSORFLOW_VERSION}" \
         "tensorflow==${TENSORFLOW_VERSION}" \
+        "tensorflow-io==${TENSORFLOW_IO_VERSION}"\
         tensorflow-addons \
         tensorflow_decision_forests \
         tensorflow_text && \
@@ -536,6 +540,7 @@ RUN pip install flashtext \
         keras-cv \
         keras-nlp && \
     apt-get -y install libspatialindex-dev
+
 RUN pip install pytorch-ignite \
         qgrid \
         bqplot \
@@ -616,7 +621,14 @@ RUN pip install --upgrade dask && \
     pip install --force-reinstall --no-deps jupyter_server>=2.* && \
     /tmp/clean-layer.sh
 
-RUN pip install setuptools==59.8.0 && pip install -e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper
+# Fix to import bq_helper library without downgrading setuptools
+RUN mkdir -p ~/src && git clone https://github.com/SohierDane/BigQuery_Helper ~/src/BigQuery_Helper && \
+    mkdir -p ~/src/BigQuery_Helper/bq_helper && \
+    mv ~/src/BigQuery_Helper/bq_helper.py ~/src/BigQuery_Helper/bq_helper/__init__.py && \
+    mv ~/src/BigQuery_Helper/test_helper.py ~/src/BigQuery_Helper/bq_helper/ && \
+    sed -i 's/)/packages=["bq_helper"])/g' ~/src/BigQuery_Helper/setup.py && \
+    pip install -e ~/src/BigQuery_Helper && \
+    /tmp/clean-layer.sh
 
 # Add BigQuery client proxy settings
 ENV PYTHONUSERBASE "/root/.local"
@@ -683,4 +695,4 @@ RUN echo "$GIT_COMMIT" > /etc/git_commit && echo "$BUILD_DATE" > /etc/build_date
 {{ if eq .Accelerator "gpu" }}
 # Remove the CUDA stubs.
 ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH_NO_STUBS"
-{{ end }}
\ No newline at end of file
+{{ end }}
diff --git a/tests/test_imports.py b/tests/test_imports.py
index 9b69f8c3..4977ff9c 100644
--- a/tests/test_imports.py
+++ b/tests/test_imports.py
@@ -5,6 +5,5 @@ class TestImport(unittest.TestCase):
     def test_basic(self):
         import bq_helper
         import cleverhans
-        import tensorflow_gcs_config
         import tensorflow_datasets
         import segment_anything
diff --git a/tests/test_tensorflow_credentials.py b/tests/test_tensorflow_credentials.py
deleted file mode 100644
index b952851c..00000000
--- a/tests/test_tensorflow_credentials.py
+++ /dev/null
@@ -1,37 +0,0 @@
-import unittest
-
-import os
-import tensorflow_gcs_config
-from unittest.mock import patch
-from test.support.os_helper import EnvironmentVarGuard
-from kaggle_secrets import UserSecretsClient
-
-class TestTensorflowCredentials(unittest.TestCase):
-
-    @patch('tensorflow_gcs_config.configure_gcs')
-    def test_set_tensorflow_credential(self, mock_configure_gcs):
-        credential = '{"client_id":"fake_client_id",' \
-            '"client_secret":"fake_client_secret",' \
-            '"refresh_token":"not a refresh token",' \
-            '"type":"authorized_user"}'
-
-        env = EnvironmentVarGuard()
-        env.set('HOME', '/tmp')
-        env.set('GOOGLE_APPLICATION_CREDENTIALS', '')
-
-        # These need to be set to make UserSecretsClient happy, but aren't
-        # pertinent to this test.
-        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
-
-        user_secrets = UserSecretsClient()
-        user_secrets.set_tensorflow_credential(credential)
-
-        credential_path = '/tmp/gcloud_credential.json'
-        self.assertEqual(
-            credential_path, os.environ['GOOGLE_APPLICATION_CREDENTIALS'])
-        with open(credential_path, 'r') as f:
-          saved_cred = f.read()
-          self.assertEqual(credential, saved_cred)
-
-          mock_configure_gcs.assert_called_with(credentials=credential)

From 5b37fe29fefdef02f55a8db1fff9f9b63826f777 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 29 Aug 2023 10:41:14 -0400
Subject: [PATCH 1450/1660] Fix bq_stats error at startup

http://b/291102990
---
 Dockerfile.tmpl | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 20b05e9e..12165695 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -661,6 +661,12 @@ RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tens
 #    jupyter-serverextension disable nb_conda --py --sys-prefix && \
 #    python -m nb_conda_kernels.install --disable
 
+# Disable preloaded jupyter modules (they add to startup, and break when they are missing)
+RUN sed -i /bq_stats/d /etc/ipython/ipython_kernel_config.py && \
+    sed -i /beatrix/d /etc/ipython/ipython_kernel_config.py && \
+    sed -i /bigquery/d /etc/ipython/ipython_kernel_config.py && \
+    sed -i /sql/d /etc/ipython/ipython_kernel_config.py
+
 # Force only one libcusolver
 {{ if eq .Accelerator "gpu" }}
 RUN rm /opt/conda/bin/../lib/libcusolver.so.11 && ln -s /usr/local/cuda/lib64/libcusolver.so.11 /opt/conda/bin/../lib/libcusolver.so.11

From 8ea3fab76723af99f6c6ec88a3dec94e9738b895 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 14 Sep 2023 20:13:16 -0700
Subject: [PATCH 1451/1660] Install newer versions of curl/libcurl (#1297)

Background:
DLVM base image includes curl/libcurl 7.68
mamba requires libcurl >= 7.86
this caused libcurl to be upgraded to 8.2.1 (latest) and the curl tool
still uses the old version causing the mismatch warning.

Solution:
Upgrade curl/libcurl before installing mamba to version

This is installing the following curl/libcurl version:

```
curl               pkgs/main/linux-64::curl-8.2.1-hdbd6064_0
libcurl            pkgs/main/linux-64::libcurl-8.2.1-h251f7ec_0
```

http://b/299991198
---
 Dockerfile.tmpl | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 12165695..98e6a0de 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -95,7 +95,8 @@ ENV PROJ_LIB=/opt/conda/share/proj
 # the remaining pip commands: https://www.anaconda.com/using-pip-in-a-conda-environment/
 RUN conda config --add channels nvidia && \
     conda config --add channels rapidsai && \
-    conda install -c conda-forge mamba && \
+    # b/299991198 remove curl/libcurl install once DLVM base image includes version >= 7.86
+    conda install -c conda-forge mamba curl libcurl && \
     # Base image channel order: conda-forge (highest priority), defaults.
     # End state: rapidsai (highest priority), nvidia, conda-forge, defaults.
     mamba install -y mkl cartopy imagemagick pyproj "shapely<2" && \

From 13d16bd161a4ea40b2b85bee0434a7fae5fe50a9 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 15 Sep 2023 15:33:22 -0700
Subject: [PATCH 1452/1660] Pin tensorflowjs (#1298)

A new version of tensorflowjs has been released and requires tensorflow
>= 2.13. We are currently using 2.12 and this is causing a test failure.

Full context in bug.

http://b/300552705
---
 Dockerfile.tmpl | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 98e6a0de..fd47680e 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -520,7 +520,8 @@ RUN pip install flashtext \
         pyarabic \
         pandasql \
         tensorflow_hub \
-        tensorflowjs \
+        # b/300552705 Remove pin once we upgrade to TensorFlow 2.13
+        tensorflowjs==4.10 \
         jieba  \
         # ggplot is broken and main repo does not merge and release https://github.com/yhat/ggpy/pull/668
         https://github.com/hbasria/ggpy/archive/0.11.5.zip \

From bd9b82a1144dde9d5045ceb9ffe2adbb4fcfa83d Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Wed, 20 Sep 2023 16:25:43 +0000
Subject: [PATCH 1453/1660] Remove pycolmap

Its breaking the build and usage has fallen off.

http://b/301017385
---
 Dockerfile.tmpl        |  3 ---
 tests/test_pycolmap.py | 13 -------------
 2 files changed, 16 deletions(-)
 delete mode 100644 tests/test_pycolmap.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index fd47680e..e9a75d3e 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -575,9 +575,6 @@ RUN pip install pytorch-ignite \
         pip install git+https://github.com/facebookresearch/segment-anything.git && \
     /tmp/clean-layer.sh
 
-# Install pycolmap for py3.10 (only the conda version works).
-RUN mamba install -y pycolmap
-
 # Download base easyocr models.
 # https://github.com/JaidedAI/EasyOCR#usage
 RUN mkdir -p /root/.EasyOCR/model && \
diff --git a/tests/test_pycolmap.py b/tests/test_pycolmap.py
deleted file mode 100644
index f824cd51..00000000
--- a/tests/test_pycolmap.py
+++ /dev/null
@@ -1,13 +0,0 @@
-import unittest
-
-import numpy as np
-import cv2
-import pycolmap
-
-class TestPycolmap(unittest.TestCase):
-    def test_sift(self):
-        img = cv2.cvtColor(cv2.imread('/input/tests/data/face.jpg'), cv2.COLOR_BGR2GRAY)
-        img = img.astype(np.float32)/255.
-        sift = pycolmap.Sift()
-        keypoints, scores, descriptors = sift.extract(img)
-        self.assertEqual(keypoints.shape, (64, 4))
\ No newline at end of file

From 57233453a0d601d5053b266b501db3146128fd70 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Thu, 21 Sep 2023 19:17:58 +0000
Subject: [PATCH 1454/1660] Move python version to TPU config

This will make it easier to change the python version across the whole
Dockerfile. We will use py3.10 when possible.

http://b/295050179
---
 tpu/Dockerfile | 33 +++++++++++++++++++--------------
 tpu/config.txt |  4 ++++
 2 files changed, 23 insertions(+), 14 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index bf3193d6..febd10e1 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -1,7 +1,12 @@
-FROM python:3.8
+ARG BASE_IMAGE
+
+FROM $BASE_IMAGE
 
 # We need to define the ARG here to get the ARG below the FROM statement to access it within this build context
 # See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
+ARG PYTHON_WHEEL_VERSION
+ARG PYTHON_VERSION_PATH
+ARG LINUX_WHEEL_VERSION
 ARG TORCH_VERSION
 ARG TENSORFLOW_VERSION
 ARG TF_LIBTPU_VERSION
@@ -17,19 +22,19 @@ ADD patches/template_conf.json /opt/kaggle/conf.json
 
 # Add BigQuery client proxy settings, kaggle secrets etc.
 ENV PYTHONUSERBASE "/root/.local"
-ADD patches/kaggle_secrets.py /root/.local/lib/python3.8/site-packages/kaggle_secrets.py
-ADD patches/kaggle_session.py /root/.local/lib/python3.8/site-packages/kaggle_session.py
-ADD patches/kaggle_web_client.py /root/.local/lib/python3.8/site-packages/kaggle_web_client.py
-ADD patches/kaggle_datasets.py /root/.local/lib/python3.8/site-packages/kaggle_datasets.py
+ADD patches/kaggle_secrets.py /root/.local/lib/${PYTHON_VERSION_PATH}/site-packages/kaggle_secrets.py
+ADD patches/kaggle_session.py /root/.local/lib/${PYTHON_VERSION_PATH}/site-packages/kaggle_session.py
+ADD patches/kaggle_web_client.py /root/.local/lib/${PYTHON_VERSION_PATH}/site-packages/kaggle_web_client.py
+ADD patches/kaggle_datasets.py /root/.local/lib/${PYTHON_VERSION_PATH}/site-packages/kaggle_datasets.py
 
 # Disable GCP integrations for now
-# ADD patches/kaggle_gcp.py /root/.local/lib/python3.8/site-packages/kaggle_gcp.py
+# ADD patches/kaggle_gcp.py /root/.local/lib/${PYTHON_VERSION_PATH}/site-packages/kaggle_gcp.py
 
 # Disable logging to file (why do we need this?)
-# ADD patches/log.py /root/.local/lib/python3.8/site-packages/log.py
+# ADD patches/log.py /root/.local/lib/${PYTHON_VERSION_PATH}/site-packages/log.py
 
 # sitecustomize adds significant latency to ipython kernel startup and should only be added if needed
-# ADD patches/sitecustomize.py /root/.local/lib/python3.8/site-packages/sitecustomize.py
+# ADD patches/sitecustomize.py /root/.local/lib/${PYTHON_VERSION_PATH}/site-packages/sitecustomize.py
 
 # Install all the packages together for maximum compatibility.
 
@@ -47,8 +52,8 @@ ADD patches/kaggle_datasets.py /root/.local/lib/python3.8/site-packages/kaggle_d
 
 # Additional useful packages should be added here
 
-RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-cp38-cp38-linux_x86_64.whl tensorflow-addons tensorflow-probability tensorflow-io \
-    torch==${TORCH_VERSION} https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-${TORCH_VERSION%.*}-cp38-cp38-linux_x86_64.whl torchvision==${TORCHVISION_VERSION} torchtext==${TORCHTEXT_VERSION} torchaudio==${TORCHAUDIO_VERSION} \
+RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${LINUX_WHEEL_VERSION}.whl tensorflow-addons tensorflow-probability tensorflow-io \
+    torch==${TORCH_VERSION} https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-${TORCH_VERSION%.*}-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${LINUX_WHEEL_VERSION}.whl torchvision==${TORCHVISION_VERSION} torchtext==${TORCHTEXT_VERSION} torchaudio==${TORCHAUDIO_VERSION} \
     jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax elegy git+https://github.com/deepmind/dm-haiku jraph distrax \
     numpy==1.23.5 \
     papermill jupyterlab python-lsp-server[all] "jupyter-lsp==1.5.1" \
@@ -58,12 +63,12 @@ RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-ar
 RUN curl --output /lib/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/${TF_LIBTPU_VERSION}/libtpu.so
 
 # Kaggle Model Hub patches:
-ADD patches/kaggle_module_resolver.py /usr/local/lib/python3.8/site-packages/tensorflow_hub/kaggle_module_resolver.py
-RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py
-RUN sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' /usr/local/lib/python3.8/site-packages/tensorflow_hub/config.py
+ADD patches/kaggle_module_resolver.py /usr/local/lib/${PYTHON_VERSION_PATH}/site-packages/tensorflow_hub/kaggle_module_resolver.py
+RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /usr/local/lib/${PYTHON_VERSION_PATH}/site-packages/tensorflow_hub/config.py
+RUN sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' /usr/local/lib/${PYTHON_VERSION_PATH}/site-packages/tensorflow_hub/config.py
 
 # Monkey-patch the default TPU to the local (TPU VM).
-RUN sed -i 's/tpu=None,/tpu="local",/' /usr/local/lib/python3.8/site-packages/tensorflow/python/distribute/cluster_resolver/tpu/tpu_cluster_resolver.py
+RUN sed -i 's/tpu=None,/tpu="local",/' /usr/local/lib/${PYTHON_VERSION_PATH}/site-packages/tensorflow/python/distribute/cluster_resolver/tpu/tpu_cluster_resolver.py
 
 # Set these env vars so that they don't produce errs calling the metadata server to load them:
 ENV TPU_ACCELERATOR_TYPE=v3-8
diff --git a/tpu/config.txt b/tpu/config.txt
index af1f3635..9f3f47a6 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -1,3 +1,6 @@
+BASE_IMAGE=python:3.8
+PYTHON_WHEEL_VERSION=cp38
+PYTHON_VERSION_PATH=python3.8
 # https://cloud.google.com/tpu/docs/supported-tpu-configurations#tpu_software_versions:~:text=TensorFlow%20version-,libtpu.so%20version,-2.13.0
 TENSORFLOW_VERSION=2.12.0
 TF_LIBTPU_VERSION=1.6.0
@@ -10,3 +13,4 @@ TORCHAUDIO_VERSION=2.0.0
 TORCHTEXT_VERSION=0.15.1
 # https://github.com/pytorch/vision supports nightly
 TORCHVISION_VERSION=0.15.1
+LINUX_WHEEL_VERSION=linux_x86_64
\ No newline at end of file

From 426347ed836e69ce80b79947c133e44f3aa13aeb Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Thu, 21 Sep 2023 19:20:59 +0000
Subject: [PATCH 1455/1660] Upgrade to Tensorflow 2.13

http://b/301473408
---
 Dockerfile.tmpl | 7 +++----
 config.txt      | 6 +++---
 2 files changed, 6 insertions(+), 7 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index e9a75d3e..e4ca2521 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -36,9 +36,9 @@ RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/lib
 {{ end }}
 
 # Keep these variables in sync if base image is updated.
-ENV TENSORFLOW_VERSION=2.12.0
+ENV TENSORFLOW_VERSION=2.13.0
 # See https://github.com/tensorflow/io#tensorflow-version-compatibility
-ENV TENSORFLOW_IO_VERSION=0.32.0
+ENV TENSORFLOW_IO_VERSION=0.34.0
 
 # We need to redefine the ARG here to get the ARG value defined above the FROM instruction.
 # See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
@@ -520,8 +520,7 @@ RUN pip install flashtext \
         pyarabic \
         pandasql \
         tensorflow_hub \
-        # b/300552705 Remove pin once we upgrade to TensorFlow 2.13
-        tensorflowjs==4.10 \
+        tensorflowjs \
         jieba  \
         # ggplot is broken and main repo does not merge and release https://github.com/yhat/ggpy/pull/668
         https://github.com/hbasria/ggpy/archive/0.11.5.zip \
diff --git a/config.txt b/config.txt
index db8cee11..357cd360 100644
--- a/config.txt
+++ b/config.txt
@@ -1,7 +1,7 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
-BASE_IMAGE_TAG=m109
-CPU_BASE_IMAGE_NAME=tf2-cpu.2-12.py310
-GPU_BASE_IMAGE_NAME=tf2-gpu.2-12.py310
+BASE_IMAGE_TAG=m111
+CPU_BASE_IMAGE_NAME=tf2-cpu.2-13.py310
+GPU_BASE_IMAGE_NAME=tf2-gpu.2-13.py310
 LIGHTGBM_VERSION=3.3.2
 TORCH_VERSION=2.0.0
 TORCHAUDIO_VERSION=2.0.1

From 83a60dbc4d3febbc6df1b48df370f313b2451a95 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Thu, 21 Sep 2023 20:02:51 +0000
Subject: [PATCH 1456/1660] remove wordbatch

---
 Dockerfile.tmpl | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index e4ca2521..90e68b69 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -406,7 +406,6 @@ RUN pip install annoy \
         # Pandas data reader
         pandas-datareader \
         wordsegment \
-        wordbatch \
         emoji \
         # Add Japanese morphological analysis engine
         janome \

From 61a0c859d2e7a1e51df58256f08851adf296ffcc Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Thu, 21 Sep 2023 21:29:18 +0000
Subject: [PATCH 1457/1660] Remove wordbatch test

---
 tests/test_wordbatch.py | 14 --------------
 1 file changed, 14 deletions(-)
 delete mode 100644 tests/test_wordbatch.py

diff --git a/tests/test_wordbatch.py b/tests/test_wordbatch.py
deleted file mode 100644
index 906ca130..00000000
--- a/tests/test_wordbatch.py
+++ /dev/null
@@ -1,14 +0,0 @@
-import unittest
-
-from wordbatch.extractors import WordBag
-from wordbatch.pipelines import WordBatch
-
-class TestWordBatch(unittest.TestCase):
-    def test_wordbatch(self):
-        WordBatch(extractor=(WordBag, {
-            "hash_ngrams":2, 
-            "hash_ngrams_weights":[0.5, -1.0], 
-            "hash_size":2**23, 
-            "norm":'l2', 
-            "tf":'log', 
-            "idf":50.0}))

From b95c1cb4041dc49f7a0081c86e9b813ffc027f62 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Mon, 25 Sep 2023 15:28:20 +0000
Subject: [PATCH 1458/1660] tf converter test fix

---
 tests/test_tensorflowjs.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/tests/test_tensorflowjs.py b/tests/test_tensorflowjs.py
index 70d280f2..d0a5de6a 100644
--- a/tests/test_tensorflowjs.py
+++ b/tests/test_tensorflowjs.py
@@ -6,13 +6,13 @@ class TestTensorflowjs(unittest.TestCase):
     def test_version(self):
         result = subprocess.run([
                 'tensorflowjs_converter',
-                '--version',
+                '--help',
             ],
             stdout=subprocess.PIPE,
             stderr=subprocess.PIPE,
         )
 
-        print("tensorflowjs_converter version: ", result)
+        print("tensorflowjs_converter help: ", result)
 
         self.assertEqual(0, result.returncode)
         self.assertIn(b'tensorflowjs', result.stdout)

From 1a3f5915496b550825304d882a62b3caaf898917 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 26 Sep 2023 12:48:53 -0400
Subject: [PATCH 1459/1660] Fix eli5 import

eli5 will not import successfully with learntools 1.3 right now, pinning learntools back until these two are compatible

http://b/302136621
---
 Dockerfile.tmpl | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 90e68b69..bcb13ab8 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -240,7 +240,8 @@ RUN pip install ibis-framework && \
     /tmp/clean-layer.sh
 
 RUN pip install scipy \
-        scikit-learn \
+        # b/302136621 Fix eli5 import for learntools
+        "scikit-learn<1.3" \
         # Scikit-learn accelerated library for x86
         scikit-learn-intelex>=2023.0.1 \
         # HDF5 support

From 730cab301a9ec06481889f9175b7cc1816e8a7bb Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Mon, 23 Oct 2023 18:23:46 +0000
Subject: [PATCH 1460/1660] Upgrade TPU VM to python 3.10

Currently removing some packages which fail to install.

http://b/295050179
---
 tpu/Dockerfile | 16 +++++++++-------
 tpu/config.txt | 23 ++++++++++++-----------
 2 files changed, 21 insertions(+), 18 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index febd10e1..90ba8fcd 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -6,7 +6,8 @@ FROM $BASE_IMAGE
 # See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
 ARG PYTHON_WHEEL_VERSION
 ARG PYTHON_VERSION_PATH
-ARG LINUX_WHEEL_VERSION
+ARG TF_LINUX_WHEEL_VERSION
+ARG TORCH_LINUX_WHEEL_VERSION
 ARG TORCH_VERSION
 ARG TENSORFLOW_VERSION
 ARG TF_LIBTPU_VERSION
@@ -52,12 +53,13 @@ ADD patches/kaggle_datasets.py /root/.local/lib/${PYTHON_VERSION_PATH}/site-pack
 
 # Additional useful packages should be added here
 
-RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${LINUX_WHEEL_VERSION}.whl tensorflow-addons tensorflow-probability tensorflow-io \
-    torch==${TORCH_VERSION} https://storage.googleapis.com/tpu-pytorch/wheels/tpuvm/torch_xla-${TORCH_VERSION%.*}-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${LINUX_WHEEL_VERSION}.whl torchvision==${TORCHVISION_VERSION} torchtext==${TORCHTEXT_VERSION} torchaudio==${TORCHAUDIO_VERSION} \
-    jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax elegy git+https://github.com/deepmind/dm-haiku jraph distrax \
-    numpy==1.23.5 \
-    papermill jupyterlab python-lsp-server[all] "jupyter-lsp==1.5.1" \
-    pandas matplotlib opencv-python-headless librosa scikit-learn accelerate diffusers transformers
+RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TF_LINUX_WHEEL_VERSION}.whl tensorflow-addons tensorflow-probability tensorflow-io \
+    torch==${TORCH_VERSION} https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-${TORCH_VERSION}-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TORCH_LINUX_WHEEL_VERSION}.whl torchvision==${TORCHVISION_VERSION} torchtext==${TORCHTEXT_VERSION} torchaudio==${TORCHAUDIO_VERSION} \
+    jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax git+https://github.com/deepmind/dm-haiku jraph distrax \
+    # numpy==1.23.5 \
+    papermill jupyterlab python-lsp-server[all] "jupyter-lsp==1.5.1"
+    # elegy
+    # pandas matplotlib opencv-python-headless librosa accelerate diffusers scikit-learn transformers
 
 # Tensorflow libtpu:
 RUN curl --output /lib/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/${TF_LIBTPU_VERSION}/libtpu.so
diff --git a/tpu/config.txt b/tpu/config.txt
index 9f3f47a6..86b097cc 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -1,16 +1,17 @@
-BASE_IMAGE=python:3.8
-PYTHON_WHEEL_VERSION=cp38
-PYTHON_VERSION_PATH=python3.8
+BASE_IMAGE=python:3.10
+PYTHON_WHEEL_VERSION=cp310
+PYTHON_VERSION_PATH=python3.10
 # https://cloud.google.com/tpu/docs/supported-tpu-configurations#tpu_software_versions:~:text=TensorFlow%20version-,libtpu.so%20version,-2.13.0
-TENSORFLOW_VERSION=2.12.0
-TF_LIBTPU_VERSION=1.6.0
-JAX_VERSION=0.4.13
+TENSORFLOW_VERSION=2.14.0
+TF_LIBTPU_VERSION=1.8.0
+TF_LINUX_WHEEL_VERSION=manylinux_2_17_x86_64.manylinux2014_x86_64
+JAX_VERSION=0.4.17
 # Supports nightly
-TORCH_VERSION=2.0.0
+TORCH_VERSION=2.1.0
 # https://github.com/pytorch/audio supports nightly
-TORCHAUDIO_VERSION=2.0.0
+TORCHAUDIO_VERSION=2.1.0
 # https://github.com/pytorch/text supports main
-TORCHTEXT_VERSION=0.15.1
+TORCHTEXT_VERSION=0.16.0
 # https://github.com/pytorch/vision supports nightly
-TORCHVISION_VERSION=0.15.1
-LINUX_WHEEL_VERSION=linux_x86_64
\ No newline at end of file
+TORCHVISION_VERSION=0.16.0
+TORCH_LINUX_WHEEL_VERSION=manylinux_2_28_x86_64
\ No newline at end of file

From 4d71248de5f4fca7ec306a34bc64f3051fb3cbc7 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 23 Oct 2023 15:59:33 -0400
Subject: [PATCH 1461/1660] Fix gcsfuse-focal issue

http://b/307349288
---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index bcb13ab8..5fdc3b44 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -79,7 +79,7 @@ RUN curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key --
 # Use a fixed apt-get repo to stop intermittent failures due to flaky httpredir connections,
 # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
 RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \
-    apt-get update && \
+    apt-get update --allow-releaseinfo-change && \
     # Needed by lightGBM (GPU build)
     # https://lightgbm.readthedocs.io/en/latest/GPU-Tutorial.html#build-lightgbm
     apt-get install -y build-essential unzip cmake libboost-dev libboost-system-dev libboost-filesystem-dev p7zip-full && \

From 71c35fe261c7c55427316aabc8f07da0b5382b7c Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Tue, 31 Oct 2023 15:33:01 +0100
Subject: [PATCH 1462/1660] Install latest version of seaborn which fixes
 heatmap (#1315)

http://b/308525631
---
 Dockerfile.tmpl | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 5fdc3b44..4d5344fe 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -178,8 +178,12 @@ RUN export PATH=/usr/local/cuda/bin:$PATH && \
     /tmp/clean-layer.sh
 {{ end }}
 
+# Make sure to install at least the version 0.13.0 of seaborn
+# which has a fix for heatmap (b/308525631)
 RUN JAXVER=$(pip freeze | grep -e "^jax==") && \
-    pip install seaborn python-dateutil dask igraph \
+    pip install \
+        seaborn>=0.13.0 \
+        python-dateutil dask igraph \
         pyyaml joblib husl geopy mne pyshp \
         pandas \
         polars \

From 4f923e38ece58ac6d8fa524522e33624eee0a56b Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Wed, 1 Nov 2023 15:47:30 +0100
Subject: [PATCH 1463/1660] Pin matplolib as upgrade of seaborn has conflict
 (#1316)

http://b/308525631
---
 Dockerfile.tmpl       | 9 +++++----
 tests/test_seaborn.py | 2 +-
 2 files changed, 6 insertions(+), 5 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 4d5344fe..ece2998d 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -178,11 +178,12 @@ RUN export PATH=/usr/local/cuda/bin:$PATH && \
     /tmp/clean-layer.sh
 {{ end }}
 
-# Make sure to install at least the version 0.13.0 of seaborn
-# which has a fix for heatmap (b/308525631)
+# (b/308525631) Pin Matplotlib until seaborn can be upgraded
+# to >0.13.0 (now it's stuck by a package conflict with ydata-profiling 4.5.1).
 RUN JAXVER=$(pip freeze | grep -e "^jax==") && \
-    pip install \
-        seaborn>=0.13.0 \
+    pip install --upgrade \
+        "matplotlib<3.8.0" \
+        seaborn \
         python-dateutil dask igraph \
         pyyaml joblib husl geopy mne pyshp \
         pandas \
diff --git a/tests/test_seaborn.py b/tests/test_seaborn.py
index b20cbe27..5d9a76c1 100644
--- a/tests/test_seaborn.py
+++ b/tests/test_seaborn.py
@@ -7,7 +7,7 @@
 class TestSeaborn(unittest.TestCase):
     # Fails if seaborn gets downgraded by other package installations.
     def test_version(self):
-        self.assertGreaterEqual(StrictVersion(sns.__version__), StrictVersion("0.9.0"))
+        self.assertGreaterEqual(StrictVersion(sns.__version__), StrictVersion("0.12.0"))
 
 
     def test_option(self):

From 5709b53603d3d267970b1eea99e3c1eb712ac440 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Thu, 2 Nov 2023 16:15:33 -0400
Subject: [PATCH 1464/1660] Add +libtpu to TORCH_VERSION

This should fix installing the wrong TORCH_VERSION
---
 tpu/Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 90ba8fcd..764d4131 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -54,7 +54,7 @@ ADD patches/kaggle_datasets.py /root/.local/lib/${PYTHON_VERSION_PATH}/site-pack
 # Additional useful packages should be added here
 
 RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TF_LINUX_WHEEL_VERSION}.whl tensorflow-addons tensorflow-probability tensorflow-io \
-    torch==${TORCH_VERSION} https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-${TORCH_VERSION}-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TORCH_LINUX_WHEEL_VERSION}.whl torchvision==${TORCHVISION_VERSION} torchtext==${TORCHTEXT_VERSION} torchaudio==${TORCHAUDIO_VERSION} \
+    torch==${TORCH_VERSION} https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-${TORCH_VERSION}+libtpu-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TORCH_LINUX_WHEEL_VERSION}.whl torchvision==${TORCHVISION_VERSION} torchtext==${TORCHTEXT_VERSION} torchaudio==${TORCHAUDIO_VERSION} \
     jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax git+https://github.com/deepmind/dm-haiku jraph distrax \
     # numpy==1.23.5 \
     papermill jupyterlab python-lsp-server[all] "jupyter-lsp==1.5.1"

From 1c37aa88e88a9cbf6d0b2db4e1bc9f8e616375f8 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Fri, 3 Nov 2023 12:40:11 -0400
Subject: [PATCH 1465/1660] Add extra libraries back to TPU (minus elegy)

elegy was the only package that was still failing the install
---
 tpu/Dockerfile | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 764d4131..b339324a 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -56,10 +56,8 @@ ADD patches/kaggle_datasets.py /root/.local/lib/${PYTHON_VERSION_PATH}/site-pack
 RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TF_LINUX_WHEEL_VERSION}.whl tensorflow-addons tensorflow-probability tensorflow-io \
     torch==${TORCH_VERSION} https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-${TORCH_VERSION}+libtpu-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TORCH_LINUX_WHEEL_VERSION}.whl torchvision==${TORCHVISION_VERSION} torchtext==${TORCHTEXT_VERSION} torchaudio==${TORCHAUDIO_VERSION} \
     jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax git+https://github.com/deepmind/dm-haiku jraph distrax \
-    # numpy==1.23.5 \
-    papermill jupyterlab python-lsp-server[all] "jupyter-lsp==1.5.1"
-    # elegy
-    # pandas matplotlib opencv-python-headless librosa accelerate diffusers scikit-learn transformers
+    papermill jupyterlab python-lsp-server[all] "jupyter-lsp==1.5.1" \
+    pandas matplotlib opencv-python-headless librosa accelerate diffusers scikit-learn transformers
 
 # Tensorflow libtpu:
 RUN curl --output /lib/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/${TF_LIBTPU_VERSION}/libtpu.so

From cb3a31c0a2978d4b6040ad5c03c5032fbb18e8af Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Fri, 10 Nov 2023 13:39:35 -0500
Subject: [PATCH 1466/1660] upgrade pyarrow

http://b/310037300
---
 Dockerfile.tmpl | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index ece2998d..036cbfa7 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -240,8 +240,7 @@ RUN apt-get install -y libfreetype6-dev && \
         scikit-image && \
     /tmp/clean-layer.sh
 
-RUN pip install ibis-framework && \
-    pip install opencv-contrib-python opencv-python && \
+RUN pip install opencv-contrib-python opencv-python && \
     /tmp/clean-layer.sh
 
 RUN pip install scipy \
@@ -481,7 +480,8 @@ RUN pip install bleach \
         wcwidth \
         webencodings \
         widgetsnbextension \
-        pyarrow \
+        # Require pyarrow newer than https://github.com/advisories/GHSA-5wvp-7f3h-6wmm
+        "pyarrow>14.0.1" \
         feather-format \
         fastai
 

From 60c13b45a5448a593d98bb9a1598cf8038ab62b5 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Fri, 10 Nov 2023 14:05:29 -0500
Subject: [PATCH 1467/1660] pyarrow>=14.0.1

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 036cbfa7..b7451187 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -481,7 +481,7 @@ RUN pip install bleach \
         webencodings \
         widgetsnbextension \
         # Require pyarrow newer than https://github.com/advisories/GHSA-5wvp-7f3h-6wmm
-        "pyarrow>14.0.1" \
+        "pyarrow>=14.0.1" \
         feather-format \
         fastai
 

From 496c39441926406cc738d741735171004893f6ac Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Fri, 10 Nov 2023 15:06:50 -0500
Subject: [PATCH 1468/1660] Require cudf and pyarrow to be consistent

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index b7451187..824a75f0 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -114,7 +114,7 @@ RUN pip install spacy && \
 
 # b/232247930: uninstall pyarrow to avoid double installation with the GPU specific version.
 RUN pip uninstall -y pyarrow && \
-    mamba install -y cudf cuml && \
+    mamba install -y "pyarrow>=14.0.1" cudf cuml && \
     /tmp/clean-layer.sh
 
 # TODO: b/296444923 - Resolve pandas dependency another way

From 492257c3ddd3edca6019aa33664166a73027f77f Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Fri, 10 Nov 2023 16:17:59 -0500
Subject: [PATCH 1469/1660] Only upgrade pyarrow on CPU image

---
 Dockerfile.tmpl | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 824a75f0..46ba785b 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -114,7 +114,7 @@ RUN pip install spacy && \
 
 # b/232247930: uninstall pyarrow to avoid double installation with the GPU specific version.
 RUN pip uninstall -y pyarrow && \
-    mamba install -y "pyarrow>=14.0.1" cudf cuml && \
+    mamba install -y cudf cuml && \
     /tmp/clean-layer.sh
 
 # TODO: b/296444923 - Resolve pandas dependency another way
@@ -481,7 +481,7 @@ RUN pip install bleach \
         webencodings \
         widgetsnbextension \
         # Require pyarrow newer than https://github.com/advisories/GHSA-5wvp-7f3h-6wmm
-        "pyarrow>=14.0.1" \
+        {{ if eq .Accelerator "gpu" }} pyarrow {{ else }} "pyarrow>=14.0.1" {{ end }} \
         feather-format \
         fastai
 

From 43c512adc511ed32608f0cf4629563983b1eb9f3 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 23 Nov 2023 12:53:53 -0800
Subject: [PATCH 1470/1660] Pin keras-cv (#1325)

Latest version fails with:

```
Traceback (most recent call last):
  File "/input/tests/test_keras_cv.py", line 9, in test_inference
    classifier = keras_cv.models.ImageClassifier.from_preset(
  File "/opt/conda/lib/python3.10/site-packages/keras_cv/src/models/task.py", line 196, in from_preset
    return super(cls, calling_cls).from_preset(*args, **kwargs)
  File "/opt/conda/lib/python3.10/site-packages/keras_cv/src/models/task.py", line 147, in from_preset
    model = cls.from_config({**config, **kwargs})
  File "/opt/conda/lib/python3.10/site-packages/keras_cv/src/models/task.py", line 54, in from_config
    config["backbone"] = keras.layers.deserialize(config["backbone"])
  File "/opt/conda/lib/python3.10/site-packages/keras_core/src/layers/__init__.py", line 161, in deserialize
    obj = serialization_lib.deserialize_keras_object(
  File "/opt/conda/lib/python3.10/site-packages/keras_core/src/saving/serialization_lib.py", line 706, in deserialize_keras_object
    instance = cls.from_config(inner_config)
  File "/opt/conda/lib/python3.10/site-packages/keras_cv/src/models/backbones/backbone.py", line 48, in from_config
    return cls(**config)
  File "/opt/conda/lib/python3.10/site-packages/keras_cv/src/models/backbones/efficientnet_v2/efficientnet_v2_backbone.py", line 200, in __init__
    pyramid_level_inputs.append(utils.get_tensor_input_name(x))
  File "/opt/conda/lib/python3.10/site-packages/keras_cv/src/models/utils.py", line 25, in get_tensor_input_name
    return tensor.node.layer.name
AttributeError: 'KerasTensor' object has no attribute 'node'
```

We can remove the pin once we upgrade TensorFlow & Keras.

http://b/312946339
---
 Dockerfile.tmpl | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 46ba785b..6b2d3a5d 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -542,8 +542,10 @@ RUN pip install flashtext \
         git+https://github.com/Philmod/catalyst.git@fix-fp16#egg=catalyst \
         # b/206990323 osmx 1.1.2 requires numpy >= 1.21 which we don't want.
         osmnx==1.1.1 \
+        # Remove once `keras-core` is released as Keras
         keras-core \
-        keras-cv \
+        # b/312946339 latest version not compatible with our version of keras
+        keras-cv==0.6.4 \
         keras-nlp && \
     apt-get -y install libspatialindex-dev
 

From ba38086c25ae315e101d7077ac964c1ba38ef493 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 27 Nov 2023 08:36:31 -0800
Subject: [PATCH 1471/1660] Add missing io import in log.py (#1326)

Fixes #1324.

We setup a custom logger for Kaggle kernels.

Some of this logic could be simplified now that we are using Python 3.8+. I filed b/312963888 for this.

b/312961350
---
 patches/log.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/patches/log.py b/patches/log.py
index 2da5993c..59a07c8c 100644
--- a/patches/log.py
+++ b/patches/log.py
@@ -1,3 +1,4 @@
+import io
 import logging
 import os
 
@@ -129,4 +130,4 @@ def _static_init():
         logging.basicConfig(level=logging.INFO, handlers=[handler])
         Log._initialized = True
 
-Log._static_init()
\ No newline at end of file
+Log._static_init()

From 8c70958382de1a192a54ba65ddebdfe703e061e0 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 29 Nov 2023 16:44:50 -0800
Subject: [PATCH 1472/1660] Do not set gsutil credentials. (#1330)

User accounts credentials are no longer supported by `gsutil`. The
recommendation is to use `gcloud storage` instead. See full details in
bug.

We will add a script tip in the notebook editor to tell users using
`gsutil` to use `gcloud storage` instead.

http://b/313996272
---
 patches/kaggle_secrets.py | 12 ------------
 1 file changed, 12 deletions(-)

diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index c1c5dc99..0bb97a03 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -94,7 +94,6 @@ def set_gcloud_credentials(self, project=None, account=None):
         """
         creds = self.get_gcloud_credential()
         creds_path = self._write_credentials_file(creds)
-        self._write_gsutil_credentials_file(creds)
 
         subprocess.run(['gcloud', 'config', 'set', 'auth/credential_file_override', creds_path])
 
@@ -139,17 +138,6 @@ def _write_credentials_file(self, credentials) -> str:
 
         return adc_path
 
-    def _write_gsutil_credentials_file(self, credentials) -> str:
-        import json
-        creds_dict = json.loads(credentials)
-        boto_path = os.path.join(os.environ.get('HOME', '/'), '.boto')
-        with open(boto_path, 'w') as f:
-            f.write('[Credentials]\n')
-            f.write(' gs_oauth2_refresh_token = ')
-            f.write(creds_dict['refresh_token'])
-
-        return boto_path
-
     def _get_gcs_access_token(self) -> Tuple[str, Optional[datetime]]:
         return self._get_access_token(GcpTarget.GCS)
 

From 823af9a85b0f94e44916c42bbc5f9596a199c117 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 30 Nov 2023 11:30:51 -0800
Subject: [PATCH 1473/1660] Fix UserSecretsClient#set_tensorflow_credentials
 (#1333)

http://b/313994895
---
 patches/kaggle_secrets.py  | 12 ++----------
 tests/test_user_secrets.py | 16 ++++++++++++++++
 2 files changed, 18 insertions(+), 10 deletions(-)

diff --git a/patches/kaggle_secrets.py b/patches/kaggle_secrets.py
index 0bb97a03..a177c171 100644
--- a/patches/kaggle_secrets.py
+++ b/patches/kaggle_secrets.py
@@ -106,19 +106,11 @@ def set_gcloud_credentials(self, project=None, account=None):
             subprocess.run(['gcloud', 'config', 'set', 'account', account])
 
     def set_tensorflow_credential(self, credential):
-        """Sets the credential for use by Tensorflow both in the local notebook
-        and to pass to the TPU.
-        """
-        # b/159906185: Import tensorflow_gcs_config only when this method is called to prevent preloading TensorFlow.
-        import tensorflow_gcs_config
+        """Sets the credential for use by Tensorflow"""
 
-        # Write to a local JSON credentials file and set
-        # GOOGLE_APPLICATION_CREDENTIALS for tensorflow running in the notebook.
+        # Write to a local JSON credentials file
         self._write_credentials_file(credential)
 
-        # set the credential for the TPU
-        tensorflow_gcs_config.configure_gcs(credentials=credential)
-
     def get_bigquery_access_token(self) -> Tuple[str, Optional[datetime]]:
         """Retrieves BigQuery access token information from the UserSecrets service.
 
diff --git a/tests/test_user_secrets.py b/tests/test_user_secrets.py
index 6dd26354..9cb9c7c5 100644
--- a/tests/test_user_secrets.py
+++ b/tests/test_user_secrets.py
@@ -166,6 +166,22 @@ def test_fn():
 
         self._test_client(test_fn, '/requests/GetUserSecretByLabelRequest', {'Label': "__gcloud_sdk_auth__"}, secret=secret)
 
+    def test_set_tensorflow_credential(self):
+        secret = '{"client_id":"gcloud","type":"authorized_user","refresh_token":"refresh_token"}'
+
+        def test_fn():
+            client = UserSecretsClient()
+            creds = client.get_gcloud_credential()
+            client.set_tensorflow_credential(creds)
+
+            expected_creds_file = '/tmp/gcloud_credential.json'
+            self.assertEqual(expected_creds_file, os.environ['GOOGLE_APPLICATION_CREDENTIALS'])
+
+            with open(expected_creds_file, 'r') as f:
+                self.assertEqual(secret, '\n'.join(f.readlines()))
+
+        self._test_client(test_fn, '/requests/GetUserSecretByLabelRequest', {'Label': "__gcloud_sdk_auth__"}, secret=secret)
+
     @mock.patch('kaggle_secrets.datetime')
     def test_get_access_token_succeeds(self, mock_dt):
         secret = '12345'

From aab5d7605aec1a2b71742ecbb5c3079e59b2e35b Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 30 Nov 2023 17:25:08 -0800
Subject: [PATCH 1474/1660] Add kagglehub (#1334)

http://b/314191303
---
 Dockerfile.tmpl         |  1 +
 tests/test_kagglehub.py | 15 +++++++++++++++
 2 files changed, 16 insertions(+)
 create mode 100644 tests/test_kagglehub.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 6b2d3a5d..90dc8c36 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -363,6 +363,7 @@ RUN pip install mpld3 \
         geoplot \
         eli5 \
         kaggle \
+        kagglehub \
         mock \
         pytest && \
     /tmp/clean-layer.sh
diff --git a/tests/test_kagglehub.py b/tests/test_kagglehub.py
new file mode 100644
index 00000000..37b11248
--- /dev/null
+++ b/tests/test_kagglehub.py
@@ -0,0 +1,15 @@
+import unittest
+from unittest import mock
+
+import kagglehub
+
+
+class TestKagglehub(unittest.TestCase):
+    def test_login(self):
+        with self.assertLogs('kagglehub', level='INFO') as l:
+            with mock.patch("builtins.input") as mock_input:
+                mock_input.side_effect = ["lastplacelarry", "some-key"]
+                # Disabling credentials validation since network access is disabled in unittest.
+                kagglehub.login(validate_credentials=False)
+
+                self.assertIn("credentials set", l.output[0])

From 3fdce732ed5fdbc1cd430b9415fd544520046eb6 Mon Sep 17 00:00:00 2001
From: psbang <psb77@cornell.edu>
Date: Sun, 3 Dec 2023 13:40:17 -0500
Subject: [PATCH 1475/1660] Patching for generativeai Python package (#1329)

http://b/308644984
---
 Dockerfile.tmpl                               |  1 +
 patches/sitecustomize.py                      | 40 ++++++++++++++
 tests/test_google_generativeai_patch.py       | 54 +++++++++++++++++++
 ...test_google_generativeai_patch_disabled.py | 43 +++++++++++++++
 4 files changed, 138 insertions(+)
 create mode 100644 tests/test_google_generativeai_patch.py
 create mode 100644 tests/test_google_generativeai_patch_disabled.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 90dc8c36..fd5ccd96 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -364,6 +364,7 @@ RUN pip install mpld3 \
         eli5 \
         kaggle \
         kagglehub \
+        google-generativeai \
         mock \
         pytest && \
     /tmp/clean-layer.sh
diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index 2f621f7d..6ac7400e 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -7,6 +7,8 @@
 import importlib
 import importlib.machinery
 
+import wrapt
+
 class GcpModuleFinder(importlib.abc.MetaPathFinder):
     _MODULES = [
         'google.cloud.bigquery',
@@ -73,3 +75,41 @@ def exec_module(self, module):
 
 if not hasattr(sys, 'frozen'):
     sys.meta_path.insert(0, GcpModuleFinder())
+
+@wrapt.when_imported('google.generativeai')
+def post_import_logic(module):
+    if os.getenv('KAGGLE_DISABLE_GOOGLE_GENERATIVE_AI_INTEGRATION') != None:
+      return
+    if (os.getenv('KAGGLE_DATA_PROXY_TOKEN') == None or 
+       os.getenv('KAGGLE_USER_SECRETS_TOKEN') == None or 
+       os.getenv('KAGGLE_DATA_PROXY_URL') == None):
+      return
+
+    old_configure = module.configure
+
+    def new_configure(*args, **kwargs):
+        if ('default_metadata' in kwargs):
+            default_metadata = kwargs['default_metadata']
+        else:
+            default_metadata = []
+        default_metadata.append(("x-kaggle-proxy-data", os.environ['KAGGLE_DATA_PROXY_TOKEN']))
+        user_secrets_token = os.environ['KAGGLE_USER_SECRETS_TOKEN']
+        default_metadata.append(('x-kaggle-authorization', f'Bearer {user_secrets_token}'))
+        kwargs['default_metadata'] = default_metadata
+
+        if ('client_options' in kwargs):
+            client_options = kwargs['client_options']
+        else:
+            client_options = {}
+        client_options['api_endpoint'] = os.environ['KAGGLE_DATA_PROXY_URL']
+        if os.getenv('KAGGLE_GOOGLE_GENERATIVE_AI_USE_REST_ONLY') != None:
+            client_options['api_endpoint'] += '/palmapi'
+            kwargs['transport'] = 'rest'
+        elif 'transport' in kwargs and kwargs['transport'] == 'rest':
+            client_options['api_endpoint'] += '/palmapi'
+        kwargs['client_options'] = client_options
+
+        old_configure(*args, **kwargs)
+
+    module.configure = new_configure
+    module.configure() # generativeai can use GOOGLE_API_KEY env variable, so make sure we have the other configs set
diff --git a/tests/test_google_generativeai_patch.py b/tests/test_google_generativeai_patch.py
new file mode 100644
index 00000000..68e766c2
--- /dev/null
+++ b/tests/test_google_generativeai_patch.py
@@ -0,0 +1,54 @@
+import json
+import unittest
+import threading
+
+from test.support.os_helper import EnvironmentVarGuard
+from urllib.parse import urlparse
+
+from http.server import BaseHTTPRequestHandler, HTTPServer
+
+class HTTPHandler(BaseHTTPRequestHandler):
+    called = False
+    path = None
+    headers = {}
+
+    def do_HEAD(self):
+        self.send_response(200)
+
+    def do_GET(self):
+        HTTPHandler.path = self.path
+        HTTPHandler.headers = self.headers
+        HTTPHandler.called = True
+        self.send_response(200)
+        self.send_header("Content-type", "application/json")
+        self.end_headers()
+
+class TestGoogleGenerativeAiPatch(unittest.TestCase):
+    endpoint = "http://127.0.0.1:80"
+
+    def test_proxy_enabled(self):
+        env = EnvironmentVarGuard()
+        secrets_token = "secrets_token"
+        proxy_token = "proxy_token"
+        env.set("KAGGLE_USER_SECRETS_TOKEN", secrets_token)
+        env.set("KAGGLE_DATA_PROXY_TOKEN", proxy_token)
+        env.set("KAGGLE_DATA_PROXY_URL", self.endpoint)
+        env.set("KAGGLE_GOOGLE_GENERATIVE_AI_USE_REST_ONLY", "True")
+        server_address = urlparse(self.endpoint)
+        with env:
+            with HTTPServer((server_address.hostname, server_address.port), HTTPHandler) as httpd:
+                threading.Thread(target=httpd.serve_forever).start()
+                import google.generativeai as palm
+                api_key = "NotARealAPIKey"
+                palm.configure(api_key = api_key)
+                try:
+                    for _ in palm.list_models():
+                        pass
+                except:
+                    pass
+                httpd.shutdown()
+                self.assertTrue(HTTPHandler.called)
+                self.assertIn("/palmapi", HTTPHandler.path)
+                self.assertEqual(proxy_token, HTTPHandler.headers["x-kaggle-proxy-data"])
+                self.assertEqual("Bearer {}".format(secrets_token), HTTPHandler.headers["x-kaggle-authorization"])
+                self.assertEqual(api_key, HTTPHandler.headers["x-goog-api-key"])
diff --git a/tests/test_google_generativeai_patch_disabled.py b/tests/test_google_generativeai_patch_disabled.py
new file mode 100644
index 00000000..65e02845
--- /dev/null
+++ b/tests/test_google_generativeai_patch_disabled.py
@@ -0,0 +1,43 @@
+import json
+import unittest
+import threading
+
+from test.support.os_helper import EnvironmentVarGuard
+from urllib.parse import urlparse
+
+from http.server import BaseHTTPRequestHandler, HTTPServer
+
+class HTTPHandler(BaseHTTPRequestHandler):
+    called = False
+
+    def do_HEAD(self):
+        self.send_response(200)
+
+    def do_GET(self):
+        HTTPHandler.called = True
+        self.send_response(200)
+        self.send_header("Content-type", "application/json")
+        self.end_headers()
+
+class TestGoogleGenerativeAiPatchDisabled(unittest.TestCase):
+    endpoint = "http://127.0.0.1:80"
+
+    def test_disabled(self):
+        env = EnvironmentVarGuard()
+        env.set("KAGGLE_USER_SECRETS_TOKEN", "foobar")
+        env.set("KAGGLE_DATA_PROXY_TOKEN", "foobar")
+        env.set("KAGGLE_DATA_PROXY_URL", self.endpoint)
+        env.set("KAGGLE_DISABLE_GOOGLE_GENERATIVE_AI_INTEGRATION", "True")
+        server_address = urlparse(self.endpoint)
+        with env:
+            with HTTPServer((server_address.hostname, server_address.port), HTTPHandler) as httpd:
+                threading.Thread(target=httpd.serve_forever).start()
+                import google.generativeai as palm
+                palm.configure(api_key = "NotARealAPIKey")
+                try:
+                    for _ in palm.list_models():
+                        pass
+                except:
+                    pass
+                httpd.shutdown()
+                self.assertFalse(HTTPHandler.called)
\ No newline at end of file

From 2da79661e3bc997cc96c3d2b45b967daf9ef964f Mon Sep 17 00:00:00 2001
From: Bovard Doerschuk-Tiberi <bovard@google.com>
Date: Thu, 30 Nov 2023 17:02:38 +0000
Subject: [PATCH 1476/1660] unpin kaggle-environments

---
 Dockerfile.tmpl | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index fd5ccd96..848ae40c 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -558,8 +558,7 @@ RUN pip install pytorch-ignite \
         transformers \
         # b/232247930 >= 2.2.0 requires pyarrow >= 6.0.0 which conflicts with dependencies for rapidsai 0.21.*
         datasets==2.1.0 \
-        # b/271870650 1.13.0 installs pickle5 which breaks rgf_pythons tests
-        kaggle-environments==1.12.0 \
+        kaggle-environments \
         geopandas \
         "shapely<2" \
         vowpalwabbit \

From 2ac180a3adc5cb6b3fc3083e0e268034f1d42669 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Wed, 6 Dec 2023 12:18:04 +0100
Subject: [PATCH 1477/1660] Use a new KAGGLE_GRPC_DATA_PROXY_URL env variable
 for gRPC proxying (#1337)

http://b/308644984

---------

Co-authored-by: Prathamesh Bang <psbang@google.com>
---
 patches/sitecustomize.py                         | 14 +++++++++-----
 tests/test_google_generativeai_patch.py          |  1 +
 tests/test_google_generativeai_patch_disabled.py | 11 +++++++----
 3 files changed, 17 insertions(+), 9 deletions(-)

diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index 6ac7400e..ea47698b 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -81,8 +81,9 @@ def post_import_logic(module):
     if os.getenv('KAGGLE_DISABLE_GOOGLE_GENERATIVE_AI_INTEGRATION') != None:
       return
     if (os.getenv('KAGGLE_DATA_PROXY_TOKEN') == None or 
-       os.getenv('KAGGLE_USER_SECRETS_TOKEN') == None or 
-       os.getenv('KAGGLE_DATA_PROXY_URL') == None):
+       os.getenv('KAGGLE_USER_SECRETS_TOKEN') == None or
+       (os.getenv('KAGGLE_DATA_PROXY_URL') == None and
+       os.getenv('KAGGLE_GRPC_DATA_PROXY_URL') == None)):
       return
 
     old_configure = module.configure
@@ -101,12 +102,15 @@ def new_configure(*args, **kwargs):
             client_options = kwargs['client_options']
         else:
             client_options = {}
-        client_options['api_endpoint'] = os.environ['KAGGLE_DATA_PROXY_URL']
+
         if os.getenv('KAGGLE_GOOGLE_GENERATIVE_AI_USE_REST_ONLY') != None:
-            client_options['api_endpoint'] += '/palmapi'
             kwargs['transport'] = 'rest'
-        elif 'transport' in kwargs and kwargs['transport'] == 'rest':
+            
+        if 'transport' in kwargs and kwargs['transport'] == 'rest':
+            client_options['api_endpoint'] = os.environ['KAGGLE_DATA_PROXY_URL']
             client_options['api_endpoint'] += '/palmapi'
+        else:
+            client_options['api_endpoint'] = os.environ['KAGGLE_GRPC_DATA_PROXY_URL']
         kwargs['client_options'] = client_options
 
         old_configure(*args, **kwargs)
diff --git a/tests/test_google_generativeai_patch.py b/tests/test_google_generativeai_patch.py
index 68e766c2..87ac4ecd 100644
--- a/tests/test_google_generativeai_patch.py
+++ b/tests/test_google_generativeai_patch.py
@@ -33,6 +33,7 @@ def test_proxy_enabled(self):
         env.set("KAGGLE_USER_SECRETS_TOKEN", secrets_token)
         env.set("KAGGLE_DATA_PROXY_TOKEN", proxy_token)
         env.set("KAGGLE_DATA_PROXY_URL", self.endpoint)
+        env.set("KAGGLE_GRPC_DATA_PROXY_URL", "http://127.0.0.1:50001")
         env.set("KAGGLE_GOOGLE_GENERATIVE_AI_USE_REST_ONLY", "True")
         server_address = urlparse(self.endpoint)
         with env:
diff --git a/tests/test_google_generativeai_patch_disabled.py b/tests/test_google_generativeai_patch_disabled.py
index 65e02845..2f34af21 100644
--- a/tests/test_google_generativeai_patch_disabled.py
+++ b/tests/test_google_generativeai_patch_disabled.py
@@ -14,21 +14,24 @@ def do_HEAD(self):
         self.send_response(200)
 
     def do_GET(self):
+        print('YO MOD', self.path)
         HTTPHandler.called = True
         self.send_response(200)
         self.send_header("Content-type", "application/json")
         self.end_headers()
 
 class TestGoogleGenerativeAiPatchDisabled(unittest.TestCase):
-    endpoint = "http://127.0.0.1:80"
+    http_endpoint = "http://127.0.0.1:80"
+    grpc_endpoint = "http://127.0.0.1:50001"
 
     def test_disabled(self):
         env = EnvironmentVarGuard()
         env.set("KAGGLE_USER_SECRETS_TOKEN", "foobar")
         env.set("KAGGLE_DATA_PROXY_TOKEN", "foobar")
-        env.set("KAGGLE_DATA_PROXY_URL", self.endpoint)
+        env.set("KAGGLE_DATA_PROXY_URL", self.http_endpoint)
+        env.set("KAGGLE_GRPC_DATA_PROXY_URL", self.grpc_endpoint)
         env.set("KAGGLE_DISABLE_GOOGLE_GENERATIVE_AI_INTEGRATION", "True")
-        server_address = urlparse(self.endpoint)
+        server_address = urlparse(self.http_endpoint)
         with env:
             with HTTPServer((server_address.hostname, server_address.port), HTTPHandler) as httpd:
                 threading.Thread(target=httpd.serve_forever).start()
@@ -40,4 +43,4 @@ def test_disabled(self):
                 except:
                     pass
                 httpd.shutdown()
-                self.assertFalse(HTTPHandler.called)
\ No newline at end of file
+                self.assertFalse(HTTPHandler.called)

From a42ecffd7b98e0209d94ae74eb9de9bcb891cdb4 Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Mon, 11 Dec 2023 15:04:58 +0100
Subject: [PATCH 1478/1660] Fix keras & translate (#1339)

http://b/315458381
http://b/315753846
---
 Dockerfile.tmpl          | 3 ++-
 tests/test_keras_core.py | 2 +-
 2 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 848ae40c..0c7365cf 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -403,7 +403,8 @@ RUN pip install annoy \
         google-cloud-bigquery \
         google-cloud-storage && \
     # Split these installations to avoid `pip._vendor.resolvelib.resolvers.ResolutionTooDeep: 200000`
-    pip install google-cloud-translate==3.* \
+    # TODO(b/315753846) Unpin translate package.
+    pip install google-cloud-translate==3.12.1 \
         google-cloud-language==2.* \
         google-cloud-videointelligence==2.* \
         google-cloud-vision==2.* \
diff --git a/tests/test_keras_core.py b/tests/test_keras_core.py
index bedeefb0..29c8cd90 100644
--- a/tests/test_keras_core.py
+++ b/tests/test_keras_core.py
@@ -3,7 +3,7 @@
 import numpy as np
 import os
 
-os.environ["KERAS_BACKEND"] = "jax" 
+os.environ["KERAS_BACKEND"] = "tensorflow" 
 
 # Note that keras_core should only be imported after the backend
 # has been configured. The backend cannot be changed once the

From ff731ce005bb1e7027818ff081e409b4af936efb Mon Sep 17 00:00:00 2001
From: Philippe Modard <philmod@google.com>
Date: Tue, 12 Dec 2023 12:34:14 +0100
Subject: [PATCH 1479/1660] install keras-nlp and keras-cv pre-release versions
 (#1340)

http://b/315833744

Co-authored-by: Vincent Roseberry <rosbo@google.com>
---
 Dockerfile.tmpl                               |    10 +-
 .../1/assets/tokenizer/vocabulary.txt         | 30522 ++++++++++++++++
 .../keras/bert_tiny_en_uncased/1/config.json  |    19 +
 .../bert_tiny_en_uncased/1/tokenizer.json     |    21 +
 .../1/config.json                             |    99 +
 tests/test_keras_cv.py                        |    21 +-
 tests/test_keras_nlp.py                       |    31 +-
 tests/utils/__init__.py                       |     0
 tests/utils/kagglehub.py                      |    62 +
 9 files changed, 30753 insertions(+), 32 deletions(-)
 create mode 100755 tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/1/assets/tokenizer/vocabulary.txt
 create mode 100644 tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/1/config.json
 create mode 100644 tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/1/tokenizer.json
 create mode 100644 tests/data/kagglehub/models/keras/efficientnetv2/keras/efficientnetv2_b0_imagenet_classifier/1/config.json
 create mode 100644 tests/utils/__init__.py
 create mode 100644 tests/utils/kagglehub.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 0c7365cf..ae26c1e6 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -547,9 +547,9 @@ RUN pip install flashtext \
         osmnx==1.1.1 \
         # Remove once `keras-core` is released as Keras
         keras-core \
-        # b/312946339 latest version not compatible with our version of keras
-        keras-cv==0.6.4 \
-        keras-nlp && \
+        # TODO(b/315833744) unpin when the alpha versions are merged to the main version.
+        keras-cv==0.8.0.dev0 \
+        keras-nlp==0.7.0.dev3 && \
     apt-get -y install libspatialindex-dev
 
 RUN pip install pytorch-ignite \
@@ -690,6 +690,10 @@ RUN pip install "jupyter-lsp==1.5.1"
 # Set backend for matplotlib
 ENV MPLBACKEND "agg"
 
+# Set LC_ALL
+# https://github.com/explosion/spaCy/issues/12872#issuecomment-1661847588
+ENV LC_ALL "POSIX"
+
 ARG GIT_COMMIT=unknown
 ARG BUILD_DATE=unknown
 
diff --git a/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/1/assets/tokenizer/vocabulary.txt b/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/1/assets/tokenizer/vocabulary.txt
new file mode 100755
index 00000000..fb140275
--- /dev/null
+++ b/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/1/assets/tokenizer/vocabulary.txt
@@ -0,0 +1,30522 @@
+[PAD]
+[unused0]
+[unused1]
+[unused2]
+[unused3]
+[unused4]
+[unused5]
+[unused6]
+[unused7]
+[unused8]
+[unused9]
+[unused10]
+[unused11]
+[unused12]
+[unused13]
+[unused14]
+[unused15]
+[unused16]
+[unused17]
+[unused18]
+[unused19]
+[unused20]
+[unused21]
+[unused22]
+[unused23]
+[unused24]
+[unused25]
+[unused26]
+[unused27]
+[unused28]
+[unused29]
+[unused30]
+[unused31]
+[unused32]
+[unused33]
+[unused34]
+[unused35]
+[unused36]
+[unused37]
+[unused38]
+[unused39]
+[unused40]
+[unused41]
+[unused42]
+[unused43]
+[unused44]
+[unused45]
+[unused46]
+[unused47]
+[unused48]
+[unused49]
+[unused50]
+[unused51]
+[unused52]
+[unused53]
+[unused54]
+[unused55]
+[unused56]
+[unused57]
+[unused58]
+[unused59]
+[unused60]
+[unused61]
+[unused62]
+[unused63]
+[unused64]
+[unused65]
+[unused66]
+[unused67]
+[unused68]
+[unused69]
+[unused70]
+[unused71]
+[unused72]
+[unused73]
+[unused74]
+[unused75]
+[unused76]
+[unused77]
+[unused78]
+[unused79]
+[unused80]
+[unused81]
+[unused82]
+[unused83]
+[unused84]
+[unused85]
+[unused86]
+[unused87]
+[unused88]
+[unused89]
+[unused90]
+[unused91]
+[unused92]
+[unused93]
+[unused94]
+[unused95]
+[unused96]
+[unused97]
+[unused98]
+[UNK]
+[CLS]
+[SEP]
+[MASK]
+[unused99]
+[unused100]
+[unused101]
+[unused102]
+[unused103]
+[unused104]
+[unused105]
+[unused106]
+[unused107]
+[unused108]
+[unused109]
+[unused110]
+[unused111]
+[unused112]
+[unused113]
+[unused114]
+[unused115]
+[unused116]
+[unused117]
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+##事
+##二
+##五
+##井
+##京
+##人
+##亻
+##仁
+##介
+##代
+##仮
+##伊
+##会
+##佐
+##侍
+##保
+##信
+##健
+##元
+##光
+##八
+##公
+##内
+##出
+##分
+##前
+##劉
+##力
+##加
+##勝
+##北
+##区
+##十
+##千
+##南
+##博
+##原
+##口
+##古
+##史
+##司
+##合
+##吉
+##同
+##名
+##和
+##囗
+##四
+##国
+##國
+##土
+##地
+##坂
+##城
+##堂
+##場
+##士
+##夏
+##外
+##大
+##天
+##太
+##夫
+##奈
+##女
+##子
+##学
+##宀
+##宇
+##安
+##宗
+##定
+##宣
+##宮
+##家
+##宿
+##寺
+##將
+##小
+##尚
+##山
+##岡
+##島
+##崎
+##川
+##州
+##巿
+##帝
+##平
+##年
+##幸
+##广
+##弘
+##張
+##彳
+##後
+##御
+##德
+##心
+##忄
+##志
+##忠
+##愛
+##成
+##我
+##戦
+##戸
+##手
+##扌
+##政
+##文
+##新
+##方
+##日
+##明
+##星
+##春
+##昭
+##智
+##曲
+##書
+##月
+##有
+##朝
+##木
+##本
+##李
+##村
+##東
+##松
+##林
+##森
+##楊
+##樹
+##橋
+##歌
+##止
+##正
+##武
+##比
+##氏
+##民
+##水
+##氵
+##氷
+##永
+##江
+##沢
+##河
+##治
+##法
+##海
+##清
+##漢
+##瀬
+##火
+##版
+##犬
+##王
+##生
+##田
+##男
+##疒
+##発
+##白
+##的
+##皇
+##目
+##相
+##省
+##真
+##石
+##示
+##社
+##神
+##福
+##禾
+##秀
+##秋
+##空
+##立
+##章
+##竹
+##糹
+##美
+##義
+##耳
+##良
+##艹
+##花
+##英
+##華
+##葉
+##藤
+##行
+##街
+##西
+##見
+##訁
+##語
+##谷
+##貝
+##貴
+##車
+##軍
+##辶
+##道
+##郎
+##郡
+##部
+##都
+##里
+##野
+##金
+##鈴
+##镇
+##長
+##門
+##間
+##阝
+##阿
+##陳
+##陽
+##雄
+##青
+##面
+##風
+##食
+##香
+##馬
+##高
+##龍
+##龸
+##fi
+##fl
+##！
+##（
+##）
+##，
+##－
+##．
+##／
+##：
+##？
+##～
diff --git a/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/1/config.json b/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/1/config.json
new file mode 100644
index 00000000..3afddd31
--- /dev/null
+++ b/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/1/config.json
@@ -0,0 +1,19 @@
+{
+    "module": "keras_nlp.src.models.bert.bert_backbone",
+    "class_name": "BertBackbone",
+    "config": {
+        "name": "bert_backbone",
+        "trainable": true,
+        "vocabulary_size": 30522,
+        "num_layers": 2,
+        "num_heads": 2,
+        "hidden_dim": 128,
+        "intermediate_dim": 512,
+        "dropout": 0.1,
+        "max_sequence_length": 512,
+        "num_segments": 2
+    },
+    "registered_name": "keras_nlp>BertBackbone",
+    "assets": [],
+    "weights": "model.weights.h5"
+}
\ No newline at end of file
diff --git a/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/1/tokenizer.json b/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/1/tokenizer.json
new file mode 100644
index 00000000..48d99632
--- /dev/null
+++ b/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/1/tokenizer.json
@@ -0,0 +1,21 @@
+{
+    "module": "keras_nlp.src.models.bert.bert_tokenizer",
+    "class_name": "BertTokenizer",
+    "config": {
+        "name": "bert_tokenizer",
+        "trainable": true,
+        "dtype": "int32",
+        "vocabulary": null,
+        "sequence_length": null,
+        "lowercase": true,
+        "strip_accents": false,
+        "split": true,
+        "suffix_indicator": "##",
+        "oov_token": "[UNK]"
+    },
+    "registered_name": "keras_nlp>BertTokenizer",
+    "assets": [
+        "assets/tokenizer/vocabulary.txt"
+    ],
+    "weights": null
+}
\ No newline at end of file
diff --git a/tests/data/kagglehub/models/keras/efficientnetv2/keras/efficientnetv2_b0_imagenet_classifier/1/config.json b/tests/data/kagglehub/models/keras/efficientnetv2/keras/efficientnetv2_b0_imagenet_classifier/1/config.json
new file mode 100644
index 00000000..2929f508
--- /dev/null
+++ b/tests/data/kagglehub/models/keras/efficientnetv2/keras/efficientnetv2_b0_imagenet_classifier/1/config.json
@@ -0,0 +1,99 @@
+{
+    "module": "keras_cv.src.models.classification.image_classifier",
+    "class_name": "ImageClassifier",
+    "config": {
+        "name": "image_classifier",
+        "trainable": true,
+        "backbone": {
+            "module": "keras_cv.src.models.backbones.efficientnet_v2.efficientnet_v2_backbone",
+            "class_name": "EfficientNetV2Backbone",
+            "config": {
+                "name": "efficient_net_v2_backbone_1",
+                "trainable": true,
+                "include_rescaling": true,
+                "width_coefficient": 1.0,
+                "depth_coefficient": 1.0,
+                "skip_connection_dropout": 0.2,
+                "depth_divisor": 8,
+                "min_depth": 8,
+                "activation": "swish",
+                "input_shape": [
+                    null,
+                    null,
+                    3
+                ],
+                "input_tensor": null,
+                "stackwise_kernel_sizes": [
+                    3,
+                    3,
+                    3,
+                    3,
+                    3,
+                    3
+                ],
+                "stackwise_num_repeats": [
+                    1,
+                    2,
+                    2,
+                    3,
+                    5,
+                    8
+                ],
+                "stackwise_input_filters": [
+                    32,
+                    16,
+                    32,
+                    48,
+                    96,
+                    112
+                ],
+                "stackwise_output_filters": [
+                    16,
+                    32,
+                    48,
+                    96,
+                    112,
+                    192
+                ],
+                "stackwise_expansion_ratios": [
+                    1,
+                    4,
+                    4,
+                    4,
+                    6,
+                    6
+                ],
+                "stackwise_squeeze_and_excite_ratios": [
+                    0,
+                    0,
+                    0,
+                    0.25,
+                    0.25,
+                    0.25
+                ],
+                "stackwise_strides": [
+                    1,
+                    2,
+                    2,
+                    2,
+                    1,
+                    2
+                ],
+                "stackwise_conv_types": [
+                    "fused",
+                    "fused",
+                    "fused",
+                    "unfused",
+                    "unfused",
+                    "unfused"
+                ]
+            },
+            "registered_name": "keras_cv>EfficientNetV2Backbone"
+        },
+        "num_classes": 1000,
+        "pooling": "avg",
+        "activation": "softmax"
+    },
+    "registered_name": "keras_cv>ImageClassifier",
+    "weights": "model.weights.h5"
+}
\ No newline at end of file
diff --git a/tests/test_keras_cv.py b/tests/test_keras_cv.py
index 2ae0f438..fb5d912c 100644
--- a/tests/test_keras_cv.py
+++ b/tests/test_keras_cv.py
@@ -4,14 +4,17 @@
 import keras
 import numpy as np
 
+from utils.kagglehub import create_test_kagglehub_server
+
 class TestKerasCV(unittest.TestCase):
     def test_inference(self):
-        classifier = keras_cv.models.ImageClassifier.from_preset(
-            'efficientnetv2_b0_imagenet_classifier',
-            load_weights=False, # load randomly initialized model from preset architecture with weights
-        )
-        image = keras.utils.load_img('/input/tests/data/face.jpg')
-        image = np.array(image)
-        predictions = classifier.predict(np.expand_dims(image, axis=0))
-        top_classes = predictions[0].argsort(axis=-1)
-        self.assertEqual(1000, len(top_classes))
\ No newline at end of file
+        with create_test_kagglehub_server():
+            classifier = keras_cv.models.ImageClassifier.from_preset(
+                'efficientnetv2_b0_imagenet_classifier',
+                load_weights=False, # load randomly initialized model from preset architecture with weights
+            )
+            image = keras.utils.load_img('/input/tests/data/face.jpg')
+            image = np.array(image)
+            predictions = classifier.predict(np.expand_dims(image, axis=0))
+            top_classes = predictions[0].argsort(axis=-1)
+            self.assertEqual(1000, len(top_classes))
\ No newline at end of file
diff --git a/tests/test_keras_nlp.py b/tests/test_keras_nlp.py
index 0ee6708b..06defce0 100644
--- a/tests/test_keras_nlp.py
+++ b/tests/test_keras_nlp.py
@@ -3,26 +3,17 @@
 import keras_nlp
 import keras
 import numpy as np
-import tensorflow as tf
+
+from utils.kagglehub import create_test_kagglehub_server
 
 class TestKerasNLP(unittest.TestCase):
     def test_fit(self):
-        # From https://keras.io/api/keras_nlp/models/bert/bert_classifier/
-        features = {
-            "token_ids": tf.ones(shape=(2, 12), dtype=tf.int64),
-            "segment_ids": tf.constant(
-                [[0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0]] * 2, shape=(2, 12)
-            ),
-            "padding_mask": tf.constant(
-                [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0]] * 2, shape=(2, 12)
-            ),
-        }
-        labels = [0, 3]
-
-        classifier = keras_nlp.models.BertClassifier.from_preset(
-            'bert_tiny_en_uncased',
-            load_weights=False, # load randomly initialized model from preset architecture with weights
-            preprocessor=None, # to avoid downloading the vocabulary
-            num_classes=4,
-        )
-        classifier.fit(x=features, y=labels, batch_size=2)
\ No newline at end of file
+        with create_test_kagglehub_server():
+            classifier = keras_nlp.models.BertClassifier.from_preset(
+                'bert_tiny_en_uncased',
+                load_weights=False, # load randomly initialized model from preset architecture with weights
+                num_classes=2,
+                activation="softmax",
+            )
+            result = classifier.predict(['What an amazing movie!'])
+            self.assertEqual((1, 2), result.shape)
\ No newline at end of file
diff --git a/tests/utils/__init__.py b/tests/utils/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/tests/utils/kagglehub.py b/tests/utils/kagglehub.py
new file mode 100644
index 00000000..bfe7b417
--- /dev/null
+++ b/tests/utils/kagglehub.py
@@ -0,0 +1,62 @@
+import os
+import threading
+import re
+
+from contextlib import contextmanager
+from urllib.parse import urlparse
+from test.support.os_helper import EnvironmentVarGuard
+from http.server import BaseHTTPRequestHandler, HTTPServer
+
+class KaggleAPIHandler(BaseHTTPRequestHandler):
+    """
+    Fake Kaggle API server supporting the download endpoint.
+    Serving files under /input/tests/data/kagglehub.
+    """
+    def do_HEAD(self):
+        self.send_response(200)
+
+    def do_GET(self):
+        m = re.match("^/api/v1/models/(.+)/download/(.+)$", self.path)
+        if not m:
+            self.send_response(404)
+            self.wfile.write(bytes(f"Unhandled path: {self.path}", "utf-8"))
+            return
+
+        model_handle = m.group(1)
+        path = m.group(2)
+        filepath = f"/input/tests/data/kagglehub/models/{model_handle}/{path}"
+        if not os.path.isfile(filepath):
+            raise ValueError((
+                "Internet is disabled in our tests\n"
+                "kagglehub uses a fake API server\n"
+                f"Use `kagglehub.model_download('{model_handle}', path='{path}')` to download the missing file\n"
+                f"and copy it to `./docker-python/tests/data/kagglehub/models/{model_handle}/{path}`\n"
+            ))
+            return
+        
+        with open(filepath, "rb") as f:
+            self.send_response(200)
+            self.send_header("Content-type", "application/octet-stream")
+            self.send_header("Content-Length", os.path.getsize(filepath))
+            self.end_headers()
+            self.wfile.write(f.read())
+
+@contextmanager
+def create_test_kagglehub_server():
+    endpoint = 'http://localhost:7777'
+    env = EnvironmentVarGuard()
+    env.set('KAGGLE_API_ENDPOINT', endpoint)
+    test_server_address = urlparse(endpoint)
+    with env:
+        if not test_server_address.hostname or not test_server_address.port:
+            msg = f"Invalid test server address: {endpoint}. You must specify a hostname & port"
+            raise ValueError(msg)
+        with HTTPServer((test_server_address.hostname, test_server_address.port), KaggleAPIHandler) as httpd:
+            threading.Thread(target=httpd.serve_forever).start()
+
+            try:
+                yield httpd
+            finally:
+                httpd.shutdown()
+
+

From d1d0e2ebdfc5c3bd43d0eb1d2800c10b082b29e5 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Wed, 13 Dec 2023 16:53:32 -0800
Subject: [PATCH 1480/1660] Add kagglehub to TPU image. (#1341)

* Add kagglehub to TPU image.

* Cleanup unused cloudbuild stuff

* Rename Jenkins build step

* Move kagglehub to pip command & add clean-layer call

* Use different clean-layer script for TPU since conda isn't installed

* Update unix permission for clean-layer.sh script
---
 Jenkinsfile         |  2 +-
 tpu/Dockerfile      |  5 ++++-
 tpu/README.md       |  9 ---------
 tpu/clean-layer.sh  | 22 ++++++++++++++++++++++
 tpu/cloudbuild.yaml | 41 -----------------------------------------
 5 files changed, 27 insertions(+), 52 deletions(-)
 delete mode 100644 tpu/README.md
 create mode 100755 tpu/clean-layer.sh
 delete mode 100644 tpu/cloudbuild.yaml

diff --git a/Jenkinsfile b/Jenkinsfile
index 10ebe3c6..692656c7 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -184,7 +184,7 @@ pipeline {
         }
         stage('TPU VM') {
           stages {
-            stage('Build Tensorflow TPU Image') {
+            stage('Build TPU VM Image') {
               options {
                 timeout(time: 60, unit: 'MINUTES')
               }
diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index b339324a..e072e403 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -18,6 +18,7 @@ ARG TORCHAUDIO_VERSION
 
 ENV ISTPUVM=1
 
+ADD tpu/clean-layer.sh  /tmp/clean-layer.sh
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
 ADD patches/template_conf.json /opt/kaggle/conf.json
 
@@ -57,7 +58,9 @@ RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-ar
     torch==${TORCH_VERSION} https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-${TORCH_VERSION}+libtpu-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TORCH_LINUX_WHEEL_VERSION}.whl torchvision==${TORCHVISION_VERSION} torchtext==${TORCHTEXT_VERSION} torchaudio==${TORCHAUDIO_VERSION} \
     jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax git+https://github.com/deepmind/dm-haiku jraph distrax \
     papermill jupyterlab python-lsp-server[all] "jupyter-lsp==1.5.1" \
-    pandas matplotlib opencv-python-headless librosa accelerate diffusers scikit-learn transformers
+    pandas matplotlib opencv-python-headless librosa accelerate diffusers scikit-learn transformers \
+    kagglehub && \
+    /tmp/clean-layer.sh
 
 # Tensorflow libtpu:
 RUN curl --output /lib/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/${TF_LIBTPU_VERSION}/libtpu.so
diff --git a/tpu/README.md b/tpu/README.md
deleted file mode 100644
index 619a6ae6..00000000
--- a/tpu/README.md
+++ /dev/null
@@ -1,9 +0,0 @@
-# Build the Kaggle TPU image
-
-NOTE: Building a new Kaggle TPU image can only be done by members of the Kaggle team.
-
-1. Set the `_BASE_IMAGE_TAG` substitution in [cloudbuild.yaml](cloudbuild.yaml) to the desired version.
-1. Submit the build to Google Cloud Build by running:
-    ```
-    gcloud builds submit --async
-    ```
\ No newline at end of file
diff --git a/tpu/clean-layer.sh b/tpu/clean-layer.sh
new file mode 100755
index 00000000..467e1cac
--- /dev/null
+++ b/tpu/clean-layer.sh
@@ -0,0 +1,22 @@
+#!/bin/bash
+#
+# This scripts should be called at the end of each RUN command
+# in the Dockerfiles.
+#
+# Each RUN command creates a new layer that is stored separately.
+# At the end of each command, we should ensure we clean up downloaded
+# archives and source files used to produce binary to reduce the size
+# of the layer.
+set -e
+set -x
+
+# Delete files that pip caches when installing a package.
+rm -rf /root/.cache/pip/*
+# Delete old downloaded archive files 
+apt-get autoremove -y
+# Delete downloaded archive files
+apt-get clean
+# Ensures the current working directory won't be deleted
+cd /usr/local/src/
+# Delete source files used for building binaries
+rm -rf /usr/local/src/*
\ No newline at end of file
diff --git a/tpu/cloudbuild.yaml b/tpu/cloudbuild.yaml
deleted file mode 100644
index 8e1d4457..00000000
--- a/tpu/cloudbuild.yaml
+++ /dev/null
@@ -1,41 +0,0 @@
-steps:
-- id: 'build-tensorflow-whl'
-  name: 'gcr.io/cloud-builders/docker'
-  args:
-  - build
-  - --rm
-  - --tag=gcr.io/kaggle-images/python-tpu-tensorflow-whl:$BUILD_ID
-  - --file=tensorflow.Dockerfile
-  - --build-arg=BASE_IMAGE_TAG=$_BASE_IMAGE_TAG
-  - .
-
-# TODO(b/152075195): Build JAX & Pytorch TPU enabled packages.
-
-- id: 'build-tpu-image'
-  waitFor: ['build-tensorflow-whl']
-  name: 'gcr.io/cloud-builders/docker'
-  args:
-  - build
-  - --rm
-  - --tag=gcr.io/kaggle-images/python-tpu:$BUILD_ID
-  - --file=Dockerfile
-  - --build-arg=BASE_IMAGE_TAG=$_BASE_IMAGE_TAG
-  - --build-arg=LIBTPU_IMAGE_TAG=$_LIBTPU_IMAGE_TAG
-  - --build-arg=TENSORFLOW_WHL_IMAGE_TAG=$BUILD_ID
-  - .
-
-options:
-  machineType: E2_HIGHCPU_32
-  diskSizeGb: 1000
-
-timeout: 86400s
-
-substitutions:
-  _BASE_IMAGE_TAG: v107
-  _LIBTPU_IMAGE_TAG: libtpu_1.1.0_RC00
-
-images:
-- gcr.io/kaggle-images/python-tpu:$BUILD_ID
-- gcr.io/kaggle-images/python-tpu-tensorflow-whl:$BUILD_ID
-
-tags: ['python', 'tpu']
\ No newline at end of file

From 83789d08987b82561d9ff9c594f2f1a397a8ae34 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 19 Dec 2023 10:04:00 -0800
Subject: [PATCH 1481/1660] Use kagglehub inside Kaggle Notebook for
 tensorflow_hub (#1342)

Currently, if you try using tensorflow_hub with a kaggle.com URL inside
a Kaggle notebook but the model isn't attached you would get an error
message telling you to attach the model.

With this change, we are calling `kagglehub` instead and will attach the
model for the user if it is missing.

http://b/311184735
---
 patches/kaggle_module_resolver.py    | 12 ++--
 tests/test_kaggle_module_resolver.py | 96 +++++++++++++++++++---------
 2 files changed, 71 insertions(+), 37 deletions(-)

diff --git a/patches/kaggle_module_resolver.py b/patches/kaggle_module_resolver.py
index 9fe536e8..e71e2d6a 100644
--- a/patches/kaggle_module_resolver.py
+++ b/patches/kaggle_module_resolver.py
@@ -1,12 +1,13 @@
 import os
 import re
+import kagglehub
 
 from tensorflow_hub import resolver
 
-url_pattern = re.compile(r"https?://([a-z]+\.)?kaggle.com/models/[^\\/]+/(?P<model>[^\\/]+)/frameworks/(?P<framework>[^\\/]+)/variations/(?P<variation>[^\\/]+)/versions/(?P<version>[0-9]+)$")
+url_pattern = re.compile(r"https?://([a-z]+\.)?kaggle.com/models/(?P<owner>[^\\/]+)/(?P<model>[^\\/]+)/frameworks/(?P<framework>[^\\/]+)/variations/(?P<variation>[^\\/]+)/versions/(?P<version>[0-9]+)$")
 
 def _is_on_kaggle_notebook():
-    return os.getenv("KAGGLE_CONTAINER_NAME") != None
+    return os.getenv("KAGGLE_KERNEL_RUN_TYPE") != None
 
 def _is_kaggle_handle(handle):
     return url_pattern.match(handle) != None
@@ -17,9 +18,4 @@ def is_supported(self, handle):
     
     def __call__(self, handle):
         m = url_pattern.match(handle)
-        local_path = f"/kaggle/input/{m.group('model')}/{m.group('framework').lower()}/{m.group('variation')}/{m.group('version')}"
-        if not os.path.exists(local_path):
-            # TODO(b/268256777) Attach model & wait until ready instead.
-            raise RuntimeError(f"You have to attach the '{handle}' model to your Kaggle notebook.")
-        
-        return local_path
+        return kagglehub.model_download(f"{m.group('owner')}/{m.group('model')}/{m.group('framework').lower()}/{m.group('variation')}/{m.group('version')}")
\ No newline at end of file
diff --git a/tests/test_kaggle_module_resolver.py b/tests/test_kaggle_module_resolver.py
index ea3e9483..9c88c563 100644
--- a/tests/test_kaggle_module_resolver.py
+++ b/tests/test_kaggle_module_resolver.py
@@ -2,62 +2,100 @@
 
 import os
 import threading
+import json
 
 import tensorflow as tf
 import tensorflow_hub as hub
 
 from http.server import BaseHTTPRequestHandler, HTTPServer
 from test.support.os_helper import EnvironmentVarGuard
+from contextlib import contextmanager
+from kagglehub.exceptions import BackendError
 
+MOUNT_PATH = "/kaggle/input"
 
-class TestKaggleModuleResolver(unittest.TestCase):
-    class HubHTTPHandler(BaseHTTPRequestHandler):
-        def do_GET(self):
-            self.send_response(200)
-            self.send_header('Content-Type', 'application/gzip')
-            self.end_headers()
+@contextmanager
+def create_test_server(handler_class):
+    hostname = 'localhost'
+    port = 8080
+    addr = f"http://{hostname}:{port}"
 
-            with open('/input/tests/data/model.tar.gz', 'rb') as model_archive:
-                self.wfile.write(model_archive.read())
+    # Simulates we are inside a Kaggle environment.
+    env = EnvironmentVarGuard()
+    env.set('KAGGLE_KERNEL_RUN_TYPE', 'Interactive')
+    env.set('KAGGLE_USER_SECRETS_TOKEN', 'foo jwt token')
+    env.set('KAGGLE_DATA_PROXY_TOKEN', 'foo proxy token')
+    env.set('KAGGLE_DATA_PROXY_URL', addr)
 
-    def _test_client(self, client_func, handler):
-        with HTTPServer(('localhost', 8080), handler) as test_server:
+    with env:
+        with HTTPServer((hostname, port), handler_class) as test_server:
             threading.Thread(target=test_server.serve_forever).start()
 
             try:
-                client_func()            
+                yield addr
             finally:
                 test_server.shutdown()
 
-    def test_kaggle_resolver_succeeds(self):
-        # Simulates we are inside a Kaggle environment.
-        env = EnvironmentVarGuard()
-        env.set('KAGGLE_CONTAINER_NAME', 'foo')
-        # Attach model to right directory.
-        os.makedirs('/kaggle/input/foomodule/tensorflow2/barvar')
-        os.symlink('/input/tests/data/saved_model/', '/kaggle/input/foomodule/tensorflow2/barvar/2', target_is_directory=True)
+class HubHTTPHandler(BaseHTTPRequestHandler):
+    def do_GET(self):
+        self.send_response(200)
+        self.send_header('Content-Type', 'application/gzip')
+        self.end_headers()
+
+        with open('/input/tests/data/model.tar.gz', 'rb') as model_archive:
+            self.wfile.write(model_archive.read())
 
-        with env:
+class KaggleJwtHandler(BaseHTTPRequestHandler):
+    def do_POST(self):
+        if self.path.endswith("AttachDatasourceUsingJwtRequest"):
+            content_length = int(self.headers["Content-Length"])
+            request = json.loads(self.rfile.read(content_length))
+            model_ref = request["modelRef"]
+
+            self.send_response(200)
+            self.send_header("Content-type", "application/json")
+            self.end_headers()
+
+            if model_ref['ModelSlug'] == 'unknown':
+                self.wfile.write(bytes(json.dumps({
+                    "wasSuccessful": False,
+                }), "utf-8"))
+                return
+
+            # Load the files
+            mount_slug = f"{model_ref['ModelSlug']}/{model_ref['Framework']}/{model_ref['InstanceSlug']}/{model_ref['VersionNumber']}"
+            os.makedirs(os.path.dirname(os.path.join(MOUNT_PATH, mount_slug)))
+            os.symlink('/input/tests/data/saved_model/', os.path.join(MOUNT_PATH, mount_slug), target_is_directory=True)
+
+            # Return the response
+            self.wfile.write(bytes(json.dumps({
+                "wasSuccessful": True,
+                "result": {
+                    "mountSlug": mount_slug,
+                },
+            }), "utf-8"))
+        else:
+            self.send_response(404)
+            self.wfile.write(bytes(f"Unhandled path: {self.path}", "utf-8"))
+
+class TestKaggleModuleResolver(unittest.TestCase):
+    def test_kaggle_resolver_succeeds(self):        
+        with create_test_server(KaggleJwtHandler) as addr:
             test_inputs = tf.ones([1,4])
             layer = hub.KerasLayer("https://kaggle.com/models/foo/foomodule/frameworks/TensorFlow2/variations/barvar/versions/2")
             self.assertEqual([1, 1], layer(test_inputs).shape)
 
     def test_kaggle_resolver_not_attached_throws(self):
-        # Simulates we are inside a Kaggle environment.
-        env = EnvironmentVarGuard()
-        env.set('KAGGLE_CONTAINER_NAME', 'foo')
-        with env:
-            with self.assertRaisesRegex(RuntimeError, '.*attach.*'):
-                hub.KerasLayer("https://kaggle.com/models/foo/foomodule/frameworks/TensorFlow2/variations/barvar/versions/2")
+        with create_test_server(KaggleJwtHandler) as addr:
+            with self.assertRaises(BackendError):
+                hub.KerasLayer("https://kaggle.com/models/foo/unknown/frameworks/TensorFlow2/variations/barvar/versions/2")
 
     def test_http_resolver_succeeds(self):
-        def call_hub():
+        with create_test_server(HubHTTPHandler) as addr:
             test_inputs = tf.ones([1,4])
-            layer = hub.KerasLayer('http://localhost:8080/model.tar.gz')
+            layer = hub.KerasLayer(f'{addr}/model.tar.gz')
             self.assertEqual([1, 1], layer(test_inputs).shape)
 
-        self._test_client(call_hub, TestKaggleModuleResolver.HubHTTPHandler)
-
     def test_local_path_resolver_succeeds(self):
         test_inputs = tf.ones([1,4])
         layer = hub.KerasLayer('/input/tests/data/saved_model')

From 20ec1a3fa6a61a95bcac158b84f3035724c95b39 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Thu, 4 Jan 2024 15:44:41 +0000
Subject: [PATCH 1482/1660] Install Keras 3

http://b/318672157
---
 tpu/Dockerfile | 5 +++++
 tpu/config.txt | 6 +++---
 2 files changed, 8 insertions(+), 3 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index e072e403..fdc75de6 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -62,6 +62,11 @@ RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-ar
     kagglehub && \
     /tmp/clean-layer.sh
 
+# b/318672157 Install Keras 3 for loading models.
+# We ignore dependencies for now since tf2.15 should work despite pip saying it won't.
+RUN pip install --no-dependencies "keras>3" keras-cv keras-nlp && \
+    /tmp/clean-layer.sh
+
 # Tensorflow libtpu:
 RUN curl --output /lib/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/${TF_LIBTPU_VERSION}/libtpu.so
 
diff --git a/tpu/config.txt b/tpu/config.txt
index 86b097cc..a56a939d 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -1,9 +1,9 @@
 BASE_IMAGE=python:3.10
 PYTHON_WHEEL_VERSION=cp310
 PYTHON_VERSION_PATH=python3.10
-# https://cloud.google.com/tpu/docs/supported-tpu-configurations#tpu_software_versions:~:text=TensorFlow%20version-,libtpu.so%20version,-2.13.0
-TENSORFLOW_VERSION=2.14.0
-TF_LIBTPU_VERSION=1.8.0
+# https://cloud.google.com/tpu/docs/supported-tpu-configurations#libtpu_versions
+TENSORFLOW_VERSION=2.15.0
+TF_LIBTPU_VERSION=1.9.0
 TF_LINUX_WHEEL_VERSION=manylinux_2_17_x86_64.manylinux2014_x86_64
 JAX_VERSION=0.4.17
 # Supports nightly

From 6983257ac6764feb4e6425e2675d8898fbd174f0 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Sun, 7 Jan 2024 07:57:35 -0800
Subject: [PATCH 1483/1660] Upgrade KerasCV & KerasNLP (#1346)

The latest version of KerasCV (0.8) and KerasNLP (0.7) now include the Kaggle integration.
---
 Dockerfile.tmpl | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index ae26c1e6..e4338b61 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -548,8 +548,8 @@ RUN pip install flashtext \
         # Remove once `keras-core` is released as Keras
         keras-core \
         # TODO(b/315833744) unpin when the alpha versions are merged to the main version.
-        keras-cv==0.8.0.dev0 \
-        keras-nlp==0.7.0.dev3 && \
+        keras-cv \
+        keras-nlp && \
     apt-get -y install libspatialindex-dev
 
 RUN pip install pytorch-ignite \

From b793084f8d9a671fd7220df74d1c6dea9595d14c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 9 Jan 2024 14:11:07 -0800
Subject: [PATCH 1484/1660] Fix keras cv/nlp tests (#1349)

The weight format was updated in the latest release and the version has
been incremented to `2`.
---
 .../{1 => 2}/assets/tokenizer/vocabulary.txt                | 0
 .../bert/keras/bert_tiny_en_uncased/{1 => 2}/config.json    | 0
 .../keras/bert/keras/bert_tiny_en_uncased/2/metadata.json   | 6 ++++++
 .../bert/keras/bert_tiny_en_uncased/{1 => 2}/tokenizer.json | 0
 .../{1 => 2}/config.json                                    | 2 +-
 .../efficientnetv2_b0_imagenet_classifier/2/metadata.json   | 6 ++++++
 6 files changed, 13 insertions(+), 1 deletion(-)
 rename tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/{1 => 2}/assets/tokenizer/vocabulary.txt (100%)
 rename tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/{1 => 2}/config.json (100%)
 mode change 100644 => 100755
 create mode 100755 tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/2/metadata.json
 rename tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/{1 => 2}/tokenizer.json (100%)
 mode change 100644 => 100755
 rename tests/data/kagglehub/models/keras/efficientnetv2/keras/efficientnetv2_b0_imagenet_classifier/{1 => 2}/config.json (98%)
 mode change 100644 => 100755
 create mode 100755 tests/data/kagglehub/models/keras/efficientnetv2/keras/efficientnetv2_b0_imagenet_classifier/2/metadata.json

diff --git a/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/1/assets/tokenizer/vocabulary.txt b/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/2/assets/tokenizer/vocabulary.txt
similarity index 100%
rename from tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/1/assets/tokenizer/vocabulary.txt
rename to tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/2/assets/tokenizer/vocabulary.txt
diff --git a/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/1/config.json b/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/2/config.json
old mode 100644
new mode 100755
similarity index 100%
rename from tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/1/config.json
rename to tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/2/config.json
diff --git a/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/2/metadata.json b/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/2/metadata.json
new file mode 100755
index 00000000..e6beacde
--- /dev/null
+++ b/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/2/metadata.json
@@ -0,0 +1,6 @@
+{
+    "keras_version": "3.0.1",
+    "keras_nlp_version": "0.7.0",
+    "parameter_count": 4385920,
+    "date_saved": "2023-12-27@02:02:24"
+}
\ No newline at end of file
diff --git a/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/1/tokenizer.json b/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/2/tokenizer.json
old mode 100644
new mode 100755
similarity index 100%
rename from tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/1/tokenizer.json
rename to tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/2/tokenizer.json
diff --git a/tests/data/kagglehub/models/keras/efficientnetv2/keras/efficientnetv2_b0_imagenet_classifier/1/config.json b/tests/data/kagglehub/models/keras/efficientnetv2/keras/efficientnetv2_b0_imagenet_classifier/2/config.json
old mode 100644
new mode 100755
similarity index 98%
rename from tests/data/kagglehub/models/keras/efficientnetv2/keras/efficientnetv2_b0_imagenet_classifier/1/config.json
rename to tests/data/kagglehub/models/keras/efficientnetv2/keras/efficientnetv2_b0_imagenet_classifier/2/config.json
index 2929f508..4f66577f
--- a/tests/data/kagglehub/models/keras/efficientnetv2/keras/efficientnetv2_b0_imagenet_classifier/1/config.json
+++ b/tests/data/kagglehub/models/keras/efficientnetv2/keras/efficientnetv2_b0_imagenet_classifier/2/config.json
@@ -8,7 +8,7 @@
             "module": "keras_cv.src.models.backbones.efficientnet_v2.efficientnet_v2_backbone",
             "class_name": "EfficientNetV2Backbone",
             "config": {
-                "name": "efficient_net_v2_backbone_1",
+                "name": "efficient_net_v2_backbone",
                 "trainable": true,
                 "include_rescaling": true,
                 "width_coefficient": 1.0,
diff --git a/tests/data/kagglehub/models/keras/efficientnetv2/keras/efficientnetv2_b0_imagenet_classifier/2/metadata.json b/tests/data/kagglehub/models/keras/efficientnetv2/keras/efficientnetv2_b0_imagenet_classifier/2/metadata.json
new file mode 100755
index 00000000..7e473a4b
--- /dev/null
+++ b/tests/data/kagglehub/models/keras/efficientnetv2/keras/efficientnetv2_b0_imagenet_classifier/2/metadata.json
@@ -0,0 +1,6 @@
+{
+    "keras_version": "3.0.3",
+    "keras_cv_version": "0.7.0",
+    "parameter_count": 7200312,
+    "date_saved": "2023-12-29@08:11:17"
+}
\ No newline at end of file

From a1503982e1fd69227222b950e888dafbdb45fc78 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 9 Jan 2024 14:11:34 -0800
Subject: [PATCH 1485/1660] Pin jax to fix tensorflowjs issue (#1348)

http://b/316967430
---
 Dockerfile.tmpl | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index e4338b61..369bd2ee 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -157,11 +157,12 @@ RUN pip install lightgbm==$LIGHTGBM_VERSION && \
 {{ end }}
 
 # Install JAX
+# b/316967430 Remove pin once new version of tensorflowjs is released (> 4.15.0)
 {{ if eq .Accelerator "gpu" }}
-RUN pip install "jax[cuda11_local]" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html && \
+RUN pip install "jax[cuda11_local]==0.4.21" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html && \
     /tmp/clean-layer.sh
 {{ else }}
-RUN pip install jax[cpu] && \
+RUN pip install jax[cpu]==0.4.21 && \
     /tmp/clean-layer.sh
 {{ end }}
 

From d2a7bc559e97adf0668cf229656a91b54bfe79f7 Mon Sep 17 00:00:00 2001
From: Brandon Horton <brandonkeiji@google.com>
Date: Thu, 11 Jan 2024 19:50:47 +0000
Subject: [PATCH 1486/1660] fix(tfhub): check for user secrets token in
 kaggle_module_resolver

---
 patches/kaggle_module_resolver.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/patches/kaggle_module_resolver.py b/patches/kaggle_module_resolver.py
index e71e2d6a..5e0c5d8a 100644
--- a/patches/kaggle_module_resolver.py
+++ b/patches/kaggle_module_resolver.py
@@ -7,7 +7,7 @@
 url_pattern = re.compile(r"https?://([a-z]+\.)?kaggle.com/models/(?P<owner>[^\\/]+)/(?P<model>[^\\/]+)/frameworks/(?P<framework>[^\\/]+)/variations/(?P<variation>[^\\/]+)/versions/(?P<version>[0-9]+)$")
 
 def _is_on_kaggle_notebook():
-    return os.getenv("KAGGLE_KERNEL_RUN_TYPE") != None
+    return os.getenv("KAGGLE_KERNEL_RUN_TYPE") != None and os.getenv("KAGGLE_USER_SECRETS_TOKEN") != None
 
 def _is_kaggle_handle(handle):
     return url_pattern.match(handle) != None

From a8dbd0bd143a0e177285a1446d52350447123a4c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 11 Jan 2024 14:37:04 -0800
Subject: [PATCH 1487/1660] Unpin JAX (#1350)

A new version of `tensorflowjs` was released yesterday (4.16.0): https://pypi.org/project/tensorflowjs/#history

This include a fix for the incompatibility with the latest version of
JAX.

http://b/316967430
---
 Dockerfile.tmpl | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 369bd2ee..e4338b61 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -157,12 +157,11 @@ RUN pip install lightgbm==$LIGHTGBM_VERSION && \
 {{ end }}
 
 # Install JAX
-# b/316967430 Remove pin once new version of tensorflowjs is released (> 4.15.0)
 {{ if eq .Accelerator "gpu" }}
-RUN pip install "jax[cuda11_local]==0.4.21" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html && \
+RUN pip install "jax[cuda11_local]" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html && \
     /tmp/clean-layer.sh
 {{ else }}
-RUN pip install jax[cpu]==0.4.21 && \
+RUN pip install jax[cpu] && \
     /tmp/clean-layer.sh
 {{ end }}
 

From adc0ae00963f0b6ade40743e969e9910cdff8f9c Mon Sep 17 00:00:00 2001
From: Brandon Horton <brandonkeiji@google.com>
Date: Fri, 12 Jan 2024 16:05:27 +0000
Subject: [PATCH 1488/1660] fix(pr): modify JenkinsFile to support forward
 slash

---
 Jenkinsfile | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 692656c7..2e30d5e1 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -15,8 +15,9 @@ pipeline {
     GIT_COMMIT_AUTHOR = sh(returnStdout: true, script:"git log --format='%an' -n 1 HEAD").trim()
     GIT_COMMIT_SUMMARY = "`<https://github.com/Kaggle/docker-python/commit/${GIT_COMMIT}|${GIT_COMMIT_SHORT}>` ${GIT_COMMIT_SUBJECT} - ${GIT_COMMIT_AUTHOR}"
     MATTERMOST_CHANNEL = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"main\" ]]; then echo \"#kernelops\"; else echo \"#builds\"; fi").trim()
-    PRETEST_TAG = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"main\" ]]; then echo \"ci-pretest\"; else echo \"${GIT_BRANCH}-pretest\"; fi").trim()
-    STAGING_TAG = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"main\" ]]; then echo \"staging\"; else echo \"${GIT_BRANCH}-staging\"; fi").trim()
+    // Use dev branch names as tags, but replace '/' with '-' using sed since docker images don't support forward slash
+    PRETEST_TAG = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"main\" ]]; then echo \"ci-pretest\"; else echo \"${GIT_BRANCH}-pretest\" | sed 's/\//-/g'; fi").trim()
+    STAGING_TAG = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"main\" ]]; then echo \"staging\"; else echo \"${GIT_BRANCH}-staging\" | sed 's/\//-/g'; fi").trim()
   }
 
   stages {

From 2f42cbb5b0b799d638b696de781ae2270d7b116e Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 12 Jan 2024 12:45:08 -0800
Subject: [PATCH 1489/1660] Escape backslash Jenkinsfile (#1353)

---
 Jenkinsfile | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 2e30d5e1..cfd8b521 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -16,8 +16,8 @@ pipeline {
     GIT_COMMIT_SUMMARY = "`<https://github.com/Kaggle/docker-python/commit/${GIT_COMMIT}|${GIT_COMMIT_SHORT}>` ${GIT_COMMIT_SUBJECT} - ${GIT_COMMIT_AUTHOR}"
     MATTERMOST_CHANNEL = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"main\" ]]; then echo \"#kernelops\"; else echo \"#builds\"; fi").trim()
     // Use dev branch names as tags, but replace '/' with '-' using sed since docker images don't support forward slash
-    PRETEST_TAG = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"main\" ]]; then echo \"ci-pretest\"; else echo \"${GIT_BRANCH}-pretest\" | sed 's/\//-/g'; fi").trim()
-    STAGING_TAG = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"main\" ]]; then echo \"staging\"; else echo \"${GIT_BRANCH}-staging\" | sed 's/\//-/g'; fi").trim()
+    PRETEST_TAG = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"main\" ]]; then echo \"ci-pretest\"; else echo \"${GIT_BRANCH}-pretest\" | sed 's/\\//-/g'; fi").trim()
+    STAGING_TAG = sh(returnStdout: true, script: "if [[ \"${GIT_BRANCH}\" == \"main\" ]]; then echo \"staging\"; else echo \"${GIT_BRANCH}-staging\" | sed 's/\\//-/g'; fi").trim()
   }
 
   stages {

From 1d7b809de0f5de383a6b7129a3d8b2968967e9df Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 15 Jan 2024 20:51:44 -0800
Subject: [PATCH 1490/1660] Upgrade to CUDA 12 and TF 2.15 (#1352)

Also upgrades, `torch` (and related libraries), `lightgbm` & `jax`.

Add tests for numba.

http://b/319722433
---
 Dockerfile.tmpl                             | 43 ++++++++++-----------
 Jenkinsfile                                 | 18 +++++++++
 config.txt                                  | 21 +++++-----
 packages/jaxlib.Dockerfile                  | 39 +++++++++++++++++++
 packages/lightgbm.Dockerfile                | 10 ++---
 packages/torch.Dockerfile                   |  2 +-
 tests/{test_keras_core.py => test_keras.py} |  7 +---
 tests/test_lightgbm.py                      |  4 +-
 tests/test_numba.py                         | 35 +++++++++++++++++
 9 files changed, 131 insertions(+), 48 deletions(-)
 create mode 100644 packages/jaxlib.Dockerfile
 rename tests/{test_keras_core.py => test_keras.py} (91%)
 create mode 100644 tests/test_numba.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index e4338b61..3b8473e0 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -7,10 +7,12 @@ ARG TORCH_VERSION
 ARG TORCHAUDIO_VERSION
 ARG TORCHTEXT_VERSION
 ARG TORCHVISION_VERSION
+ARG JAX_VERSION
 
 {{ if eq .Accelerator "gpu" }}
 FROM gcr.io/kaggle-images/python-lightgbm-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${LIGHTGBM_VERSION} AS lightgbm_whl
 FROM gcr.io/kaggle-images/python-torch-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${TORCH_VERSION} AS torch_whl
+FROM gcr.io/kaggle-images/python-jaxlib-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${JAX_VERSION} AS jaxlib_whl
 FROM ${BASE_IMAGE_REPO}/${GPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
 {{ else }}
 FROM ${BASE_IMAGE_REPO}/${CPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
@@ -36,9 +38,9 @@ RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/lib
 {{ end }}
 
 # Keep these variables in sync if base image is updated.
-ENV TENSORFLOW_VERSION=2.13.0
+ENV TENSORFLOW_VERSION=2.15.0
 # See https://github.com/tensorflow/io#tensorflow-version-compatibility
-ENV TENSORFLOW_IO_VERSION=0.34.0
+ENV TENSORFLOW_IO_VERSION=0.35.0
 
 # We need to redefine the ARG here to get the ARG value defined above the FROM instruction.
 # See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
@@ -47,6 +49,7 @@ ARG TORCH_VERSION
 ARG TORCHAUDIO_VERSION
 ARG TORCHTEXT_VERSION
 ARG TORCHVISION_VERSION
+ARG JAX_VERSION
 
 # Disable pesky logs like: KMP_AFFINITY: pid 6121 tid 6121 thread 0 bound to OS proc set 0
 # See: https://stackoverflow.com/questions/57385766/disable-tensorflow-log-information
@@ -158,7 +161,9 @@ RUN pip install lightgbm==$LIGHTGBM_VERSION && \
 
 # Install JAX
 {{ if eq .Accelerator "gpu" }}
-RUN pip install "jax[cuda11_local]" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html && \
+COPY --from=jaxlib_whl /tmp/whl/*.whl /tmp/jax/
+# b/319722433#comment9: Use pip wheels once versions matches our CUDA version.
+RUN pip install /tmp/jax/*.whl jax==$JAX_VERSION && \
     /tmp/clean-layer.sh
 {{ else }}
 RUN pip install jax[cpu] && \
@@ -169,7 +174,7 @@ RUN pip install jax[cpu] && \
 # Install GPU specific packages
 {{ if eq .Accelerator "gpu" }}
 # Install GPU-only packages
-# No specific package for nnabla-ext-cuda 11.x minor versions.
+# No specific package for nnabla-ext-cuda 12.x minor versions.
 RUN export PATH=/usr/local/cuda/bin:$PATH && \
     export CUDA_ROOT=/usr/local/cuda && \
     pip install pycuda \
@@ -199,10 +204,17 @@ RUN pip install -f http://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html
 
 RUN pip install \
         "tensorflow==${TENSORFLOW_VERSION}" \
-        "tensorflow-io==${TENSORFLOW_IO_VERSION}"\
+        "tensorflow-io==${TENSORFLOW_IO_VERSION}" \
         tensorflow-addons \
         tensorflow_decision_forests \
-        tensorflow_text && \
+        tensorflow_text \
+        tensorflowjs \
+        tensorflow_hub && \
+    /tmp/clean-layer.sh
+
+# TODO(b/318672158): Upgrade to Keras 3 once compatible with other TF libries.
+# See blockers here: https://b.corp.google.com/issues/319722433#comment8
+RUN pip install keras keras-cv keras-nlp && \
     /tmp/clean-layer.sh
 
 RUN pip install pysal
@@ -268,12 +280,6 @@ RUN pip install scipy \
     apt-get install -y pandoc && \
     pip install essentia
 
-{{ if eq .Accelerator "gpu" }}
-# #1281 Install numba MVC support:
-RUN pip install ptxcompiler-cu11 cubinlinker-cu11 --extra-index-url=https://pypi.nvidia.com
-ENV NUMBA_CUDA_ENABLE_MINOR_VERSION_COMPATIBILITY=1
-{{ end }}
-
 RUN apt-get install -y git-lfs && \
     /tmp/clean-layer.sh
 
@@ -316,8 +322,7 @@ RUN pip install mpld3 \
         s2sphere \
         bayesian-optimization \
         matplotlib-venn \
-        # b/184083722 pyldavis >= 3.3 requires numpy >= 1.20.0 but TensorFlow 2.4.1 / 2.5.0 requires 1.19.2
-        pyldavis==3.2.2 \
+        pyldavis \
         mlxtend \
         altair \
         ImageHash \
@@ -527,8 +532,6 @@ RUN pip install flashtext \
         gym \
         pyarabic \
         pandasql \
-        tensorflow_hub \
-        tensorflowjs \
         jieba  \
         # ggplot is broken and main repo does not merge and release https://github.com/yhat/ggpy/pull/668
         https://github.com/hbasria/ggpy/archive/0.11.5.zip \
@@ -543,13 +546,7 @@ RUN pip install flashtext \
         # b/290207097 switch back to the pip catalyst package when bug fixed
         # https://github.com/catalyst-team/catalyst/issues/1440
         git+https://github.com/Philmod/catalyst.git@fix-fp16#egg=catalyst \
-        # b/206990323 osmx 1.1.2 requires numpy >= 1.21 which we don't want.
-        osmnx==1.1.1 \
-        # Remove once `keras-core` is released as Keras
-        keras-core \
-        # TODO(b/315833744) unpin when the alpha versions are merged to the main version.
-        keras-cv \
-        keras-nlp && \
+        osmnx && \
     apt-get -y install libspatialindex-dev
 
 RUN pip install pytorch-ignite \
diff --git a/Jenkinsfile b/Jenkinsfile
index cfd8b521..5aa151bd 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -62,6 +62,24 @@ pipeline {
             '''
           }
         }
+        stage('jaxlib') {
+          options {
+            timeout(time: 60, unit: 'MINUTES')
+          }
+          steps {
+            sh '''#!/bin/bash
+              set -exo pipefail
+              source config.txt
+              cd packages/
+              ./build_package --base-image $BASE_IMAGE_REPO/$GPU_BASE_IMAGE_NAME:$BASE_IMAGE_TAG \
+                --package jaxlib \
+                --version $JAX_VERSION \
+                --build-arg CUDA_MAJOR_VERSION=$CUDA_MAJOR_VERSION \
+                --build-arg CUDA_MINOR_VERSION=$CUDA_MINOR_VERSION \
+                --push
+            '''
+          }
+        }
       }
     }
     stage('Build/Test/Diff') {
diff --git a/config.txt b/config.txt
index 357cd360..0a0a98fd 100644
--- a/config.txt
+++ b/config.txt
@@ -1,11 +1,12 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
-BASE_IMAGE_TAG=m111
-CPU_BASE_IMAGE_NAME=tf2-cpu.2-13.py310
-GPU_BASE_IMAGE_NAME=tf2-gpu.2-13.py310
-LIGHTGBM_VERSION=3.3.2
-TORCH_VERSION=2.0.0
-TORCHAUDIO_VERSION=2.0.1
-TORCHTEXT_VERSION=0.15.1
-TORCHVISION_VERSION=0.15.1
-CUDA_MAJOR_VERSION=11
-CUDA_MINOR_VERSION=8
+BASE_IMAGE_TAG=m114
+CPU_BASE_IMAGE_NAME=tf2-cpu.2-15.py310
+GPU_BASE_IMAGE_NAME=tf2-gpu.2-15.py310
+LIGHTGBM_VERSION=4.2.0
+TORCH_VERSION=2.1.2
+TORCHAUDIO_VERSION=2.1.2
+TORCHTEXT_VERSION=0.16.2
+TORCHVISION_VERSION=0.16.2
+JAX_VERSION=0.4.23
+CUDA_MAJOR_VERSION=12
+CUDA_MINOR_VERSION=1
diff --git a/packages/jaxlib.Dockerfile b/packages/jaxlib.Dockerfile
new file mode 100644
index 00000000..cc4e5fe9
--- /dev/null
+++ b/packages/jaxlib.Dockerfile
@@ -0,0 +1,39 @@
+ARG BASE_IMAGE
+
+FROM ${BASE_IMAGE} AS builder
+
+ARG PACKAGE_VERSION
+ARG CUDA_MAJOR_VERSION
+ARG CUDA_MINOR_VERSION
+
+# Make sure we are on the right version of CUDA
+RUN update-alternatives --set cuda /usr/local/cuda-$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION
+
+# Ensures shared libraries installed with conda can be found by the dynamic link loader.
+# For PyTorch, we need specifically mkl.
+ENV LIBRARY_PATH="$LIBRARY_PATH:/opt/conda/lib"
+ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/opt/conda/lib"
+
+# Instructions: https://jax.readthedocs.io/en/latest/developer.html#building-jaxlib-from-source
+RUN apt-get update && \
+    apt-get install -y g++ python python3-dev
+
+RUN pip install numpy wheel build
+
+RUN cd /usr/local/src && \
+    git clone https://github.com/google/jax && \
+    cd jax && \
+    git checkout jaxlib-v$PACKAGE_VERSION
+
+RUN cd /usr/local/src/jax && \
+    python build/build.py --enable_cuda
+
+# Using multi-stage builds to ensure the output image is very small
+# See: https://docs.docker.com/develop/develop-images/multistage-build/
+FROM alpine:latest
+
+RUN mkdir -p /tmp/whl/
+COPY --from=builder /usr/local/src/jax/dist/*.whl /tmp/whl
+
+# Print out the built .whl file.
+RUN ls -lh /tmp/whl/
\ No newline at end of file
diff --git a/packages/lightgbm.Dockerfile b/packages/lightgbm.Dockerfile
index 0d0f2eea..376eaaef 100644
--- a/packages/lightgbm.Dockerfile
+++ b/packages/lightgbm.Dockerfile
@@ -11,24 +11,20 @@ RUN update-alternatives --set cuda /usr/local/cuda-$CUDA_MAJOR_VERSION.$CUDA_MIN
 
 # Build instructions: https://lightgbm.readthedocs.io/en/latest/GPU-Tutorial.html#build-lightgbm
 RUN apt-get update && \
-    apt-get install -y build-essential cmake libboost-dev libboost-system-dev libboost-filesystem-dev ocl-icd-libopencl1 clinfo opencl-headers
+    apt-get install -y build-essential cmake libboost-dev libboost-system-dev libboost-filesystem-dev clinfo nvidia-opencl-dev opencl-headers
 
 RUN cd /usr/local/src && \
     git clone --recursive https://github.com/microsoft/LightGBM && \
     cd LightGBM && \
     git checkout tags/v$PACKAGE_VERSION && \
-    mkdir build && cd build && \
-    cmake -DUSE_GPU=1 -DOpenCL_LIBRARY=/usr/local/cuda/lib64/libOpenCL.so -DOpenCL_INCLUDE_DIR=/usr/local/cuda/include/ .. && \
-    make -j$(nproc) && \
-    cd /usr/local/src/LightGBM/python-package && \
-    python setup.py bdist_wheel
+    ./build-python.sh bdist_wheel  --gpu --opencl-library=/usr/local/cuda/lib64/libOpenCL.so --opencl-include-dir=/usr/local/cuda/include/
 
 # Using multi-stage builds to ensure the output image is very small
 # See: https://docs.docker.com/develop/develop-images/multistage-build/
 FROM alpine:latest
 
 RUN mkdir -p /tmp/whl/
-COPY --from=builder /usr/local/src/LightGBM/python-package/dist/*.whl /tmp/whl
+COPY --from=builder /usr/local/src/LightGBM/dist/*.whl /tmp/whl
 
 # Print out the built .whl file.
 RUN ls -lh /tmp/whl/
\ No newline at end of file
diff --git a/packages/torch.Dockerfile b/packages/torch.Dockerfile
index 57e8f503..f9579675 100644
--- a/packages/torch.Dockerfile
+++ b/packages/torch.Dockerfile
@@ -31,7 +31,7 @@ ENV PYTORCH_BUILD_NUMBER=1
 # For PyTorch, we need specifically mkl.
 ENV LIBRARY_PATH="$LIBRARY_PATH:/opt/conda/lib"
 ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/opt/conda/lib"
-ENV TORCH_CUDA_ARCH_LIST="3.7;6.0;7.0+PTX;7.5+PTX"
+ENV TORCH_CUDA_ARCH_LIST="6.0;7.0+PTX;7.5+PTX"
 ENV FORCE_CUDA=1
 RUN cd /usr/local/src && \
     git clone --recursive https://github.com/pytorch/pytorch && \
diff --git a/tests/test_keras_core.py b/tests/test_keras.py
similarity index 91%
rename from tests/test_keras_core.py
rename to tests/test_keras.py
index 29c8cd90..22cb6f9f 100644
--- a/tests/test_keras_core.py
+++ b/tests/test_keras.py
@@ -5,12 +5,9 @@
 
 os.environ["KERAS_BACKEND"] = "tensorflow" 
 
-# Note that keras_core should only be imported after the backend
-# has been configured. The backend cannot be changed once the
-# package is imported.
-import keras_core as keras
+import keras
 
-class TestKerasCore(unittest.TestCase):
+class TestKeras(unittest.TestCase):
     def test_train(self):
         # Load the data and split it between train and test sets
         (x_train, y_train), (x_test, y_test) = keras.datasets.mnist.load_data(
diff --git a/tests/test_lightgbm.py b/tests/test_lightgbm.py
index f7c5ada4..bcdbb1a6 100644
--- a/tests/test_lightgbm.py
+++ b/tests/test_lightgbm.py
@@ -30,7 +30,7 @@ def test_cpu(self):
                         lgb_train,
                         num_boost_round=1,
                         valid_sets=lgb_eval,
-                        early_stopping_rounds=1)
+                        callbacks=[lgb.early_stopping(stopping_rounds=1)])
 
         self.assertEqual(1, gbm.best_iteration)
 
@@ -57,7 +57,7 @@ def test_gpu(self):
                         lgb_train,
                         num_boost_round=1,
                         valid_sets=lgb_eval,
-                        early_stopping_rounds=1)
+                        callbacks=[lgb.early_stopping(stopping_rounds=1)])
 
         self.assertEqual(1, gbm.best_iteration)
     
diff --git a/tests/test_numba.py b/tests/test_numba.py
new file mode 100644
index 00000000..1b77ee3e
--- /dev/null
+++ b/tests/test_numba.py
@@ -0,0 +1,35 @@
+import unittest
+
+import numpy as np
+from numba import jit, cuda
+
+from common import gpu_test
+
+class TestNumba(unittest.TestCase):
+    def test_jit(self):
+        x = np.arange(100).reshape(10, 10)
+
+        @jit(nopython=True) # Set "nopython" mode for best performance, equivalent to @njit
+        def go_fast(a): # Function is compiled to machine code when called the first time
+            trace = 0.0
+            for i in range(a.shape[0]):   # Numba likes loops
+                trace += np.tanh(a[i, i]) # Numba likes NumPy functions
+            return a + trace              # Numba likes NumPy broadcasting
+
+        self.assertEqual(10, go_fast(x).shape[0])
+
+    @gpu_test
+    def test_cuda_jit(self):
+        x = np.arange(10)
+
+        @cuda.jit
+        def increment_by_one(an_array):
+            pos = cuda.grid(1)
+            if pos < an_array.size:
+                an_array[pos] += 1
+
+        threadsperblock = 32
+        blockspergrid = (x.size + (threadsperblock - 1))
+        self.assertEqual(0, x[0])
+        increment_by_one[blockspergrid, threadsperblock](x)
+        self.assertEqual(1, x[0])

From f54b008e7db02028300f73e45659e10fc409e545 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 18 Jan 2024 14:46:47 -0800
Subject: [PATCH 1491/1660] Remove tensorflow-addons package (#1355)

It is deprecated and isn't compatible with Keras 3.

http://b/321039157
---
 Dockerfile.tmpl                 |  1 -
 tests/test_tensorflow_addons.py | 22 ----------------------
 tpu/Dockerfile                  |  2 +-
 3 files changed, 1 insertion(+), 24 deletions(-)
 delete mode 100644 tests/test_tensorflow_addons.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 3b8473e0..245228df 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -205,7 +205,6 @@ RUN pip install -f http://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html
 RUN pip install \
         "tensorflow==${TENSORFLOW_VERSION}" \
         "tensorflow-io==${TENSORFLOW_IO_VERSION}" \
-        tensorflow-addons \
         tensorflow_decision_forests \
         tensorflow_text \
         tensorflowjs \
diff --git a/tests/test_tensorflow_addons.py b/tests/test_tensorflow_addons.py
deleted file mode 100644
index 21466d9d..00000000
--- a/tests/test_tensorflow_addons.py
+++ /dev/null
@@ -1,22 +0,0 @@
-import unittest
-
-import tensorflow as tf
-import tensorflow_addons as tfa
-
-
-class TestTensorflowAddons(unittest.TestCase):
-    def test_tfa_image(self):
-        img_raw = tf.io.read_file('/input/tests/data/dot.png')
-        img = tf.io.decode_image(img_raw)
-        img = tf.image.convert_image_dtype(img, tf.float32)
-        mean = tfa.image.mean_filter2d(img, filter_shape=1)
-
-        self.assertEqual([1, 1, 3], mean.shape)
-    
-    # This test exercises TFA Custom Op. See: b/145555176
-    def test_gelu(self):
-        x = tf.constant([[0.5, 1.2, -0.3]])
-        layer = tfa.layers.GELU()
-        result = layer(x)
-
-        self.assertEqual((1, 3), result.shape)
\ No newline at end of file
diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index fdc75de6..9b894f54 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -54,7 +54,7 @@ ADD patches/kaggle_datasets.py /root/.local/lib/${PYTHON_VERSION_PATH}/site-pack
 
 # Additional useful packages should be added here
 
-RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TF_LINUX_WHEEL_VERSION}.whl tensorflow-addons tensorflow-probability tensorflow-io \
+RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TF_LINUX_WHEEL_VERSION}.whl tensorflow-probability tensorflow-io \
     torch==${TORCH_VERSION} https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-${TORCH_VERSION}+libtpu-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TORCH_LINUX_WHEEL_VERSION}.whl torchvision==${TORCHVISION_VERSION} torchtext==${TORCHTEXT_VERSION} torchaudio==${TORCHAUDIO_VERSION} \
     jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax git+https://github.com/deepmind/dm-haiku jraph distrax \
     papermill jupyterlab python-lsp-server[all] "jupyter-lsp==1.5.1" \

From 817071677e224807955b14f8997e24ce1e4061f9 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 18 Jan 2024 19:41:51 -0800
Subject: [PATCH 1492/1660] Disable old unversioned GPU Docker images (#1356)

There seems to be an issue with GCR.

See bug for full context.

http://b/321030221
---
 Jenkinsfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 5aa151bd..79c68005 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -248,7 +248,8 @@ pipeline {
         sh '''#!/bin/bash
           set -exo pipefail
           gcloud container images list-tags gcr.io/kaggle-images/python --filter="NOT tags:v* AND timestamp.datetime < -P6M" --format='get(digest)' --limit 100 | xargs -I {} gcloud container images delete gcr.io/kaggle-images/python@{} --quiet --force-delete-tags
-          gcloud container images list-tags gcr.io/kaggle-private-byod/python --filter="NOT tags:v* AND timestamp.datetime < -P6M" --format='get(digest)' --limit 100 | xargs -I {} gcloud container images delete gcr.io/kaggle-private-byod/python@{} --quiet --force-delete-tags
+          # b/321030221#comment8 Disable deletion of old images from gcr.io/kaggle-private-byod/python. GCR seems to have an issue with this repo and the creation date. See bug.
+          # gcloud container images list-tags gcr.io/kaggle-private-byod/python --filter="NOT tags:v* AND timestamp.datetime < -P6M" --format='get(digest)' --limit 100 | xargs -I {} gcloud container images delete gcr.io/kaggle-private-byod/python@{} --quiet --force-delete-tags
         '''
       }
     }

From 65e4cd13d594aa85fce440db3b782c34206fdb01 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 29 Jan 2024 15:54:50 -0500
Subject: [PATCH 1493/1660] Bump TPU VM Jax to 0.4.23

http://b/322834705
---
 tpu/config.txt | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/tpu/config.txt b/tpu/config.txt
index a56a939d..a544de0f 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -5,7 +5,7 @@ PYTHON_VERSION_PATH=python3.10
 TENSORFLOW_VERSION=2.15.0
 TF_LIBTPU_VERSION=1.9.0
 TF_LINUX_WHEEL_VERSION=manylinux_2_17_x86_64.manylinux2014_x86_64
-JAX_VERSION=0.4.17
+JAX_VERSION=0.4.23
 # Supports nightly
 TORCH_VERSION=2.1.0
 # https://github.com/pytorch/audio supports nightly
@@ -14,4 +14,4 @@ TORCHAUDIO_VERSION=2.1.0
 TORCHTEXT_VERSION=0.16.0
 # https://github.com/pytorch/vision supports nightly
 TORCHVISION_VERSION=0.16.0
-TORCH_LINUX_WHEEL_VERSION=manylinux_2_28_x86_64
\ No newline at end of file
+TORCH_LINUX_WHEEL_VERSION=manylinux_2_28_x86_64

From 71487b6737205a9f9a9f68313fe3c6ed8f2e50a6 Mon Sep 17 00:00:00 2001
From: Hieu Lam <lamhieu.vk@gmail.com>
Date: Thu, 1 Feb 2024 23:43:39 +0700
Subject: [PATCH 1494/1660] Adding Cuda home environment values helps other
 libraries avoid unwanted errors, for example DeepSpeed (#1360)

---
 Dockerfile.tmpl | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 245228df..4e04b695 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -708,4 +708,6 @@ RUN echo "$GIT_COMMIT" > /etc/git_commit && echo "$BUILD_DATE" > /etc/build_date
 {{ if eq .Accelerator "gpu" }}
 # Remove the CUDA stubs.
 ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH_NO_STUBS"
+# Add the CUDA home.
+ENV CUDA_HOME=/usr/local/cuda
 {{ end }}

From 8cbe4e0f6889d4c6b69863479bd2da7b3679d810 Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Thu, 8 Feb 2024 01:49:47 -0800
Subject: [PATCH 1495/1660] add patch for tf-df pt1

---
 Dockerfile.tmpl | 57 +++++++++++++++++++++++++++++++++++++++++++------
 1 file changed, 51 insertions(+), 6 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 4e04b695..00000d6b 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -202,18 +202,63 @@ RUN apt-get install -y default-jre && \
 
 RUN pip install -f http://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html h2o && /tmp/clean-layer.sh
 
+# b/318672158 Use simply tensorflow-probability once > 0.23.0 is released.
 RUN pip install \
         "tensorflow==${TENSORFLOW_VERSION}" \
         "tensorflow-io==${TENSORFLOW_IO_VERSION}" \
-        tensorflow_decision_forests \
+        git+https://github.com/tensorflow/probability.git@fbc5ebe9b1d343113fb917010096cfd88b32eecf \
         tensorflow_text \
-        tensorflowjs \
-        tensorflow_hub && \
+        "tensorflow_hub>=0.16.0" \
+        tf-keras && \
     /tmp/clean-layer.sh
 
-# TODO(b/318672158): Upgrade to Keras 3 once compatible with other TF libries.
-# See blockers here: https://b.corp.google.com/issues/319722433#comment8
-RUN pip install keras keras-cv keras-nlp && \
+# b/318672158 Use simply tensorflow_decision_forests on next release, expected with tf 2.16
+RUN pip install tensorflow_decision_forests --no-deps && \
+    /tmp/clean-layer.sh
+
+RUN sed -i "/import tensorflow_decision_forests as tfdf/a import tf_keras" /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/__init__.py && \
+    sed -i -e "/import tensorflow as tf/a import tf_keras" \
+           -e "/from yggdrasil_decision_forests.utils.distribute.implementations.grpc/a from tensorflow_decision_forests.keras import keras_internal" \
+           -e '/try:/{:a;N;/backend = tf.keras.backend/!ba;d}'\
+           /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/core.py && \
+    sed -i -e "s/from typing import Optional, List, Dict, Any, Union, NamedTuple/from typing import Any, Dict, List, NamedTuple, Optional, Union/g" \
+           -e "/import tensorflow as tf/a from tensorflow_decision_forests.keras import keras_internal" \
+           -e "/import tensorflow as tf/a import tf_keras" \
+           -e '/layers = tf.keras.layers/{:a;N;/backend = tf.keras.backend/!ba;d}' \
+           /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/core_inference.py && \
+    find /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests -type f -exec sed -i \
+         -e "s/get_data_handler/keras_internal.get_data_handler/g" \
+         -e 's/"models.Functional"/keras_internal.Functional/g' \
+         -e "s/tf.keras.utils.unpack_x_y_sample_weight/keras_internal.unpack_x_y_sample_weight/g" \
+         -e "s/tf.keras.utils.experimental/keras_internal/g" \
+         {} \; && \
+    sed -i -e "/import tensorflow as tf/a import tf_keras" \
+           -e "/from tensorflow_decision_forests.keras import core/a from tensorflow_decision_forests.keras import keras_internal" \
+           -e '/layers = tf.keras.layers/{:a;N;/callbacks = tf.keras.callbacks/!ba;d}' \
+           /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/keras_test.py && \
+    find /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras -type f -exec sed -i \
+         -e "s/ layers.Input/ tf_keras.layers.Input/g" \
+         -e "s/layers.minimum/tf_keras.layers.minimum/g" \
+         -e "s/layers.Concatenate/tf_keras.layers.Concatenate/g" \
+         -e "s/layers.Dense/tf_keras.layers.Dense/g" \
+         -e "s/layers.experimental.preprocessing./tf_keras.layers./g" \
+         -e "s/layers.DenseFeatures/keras_internal.layers.DenseFeatures/g" \
+         -e "s/models.Model/tf_keras.models.Model/g" {} \; && \
+    sed -i "s/ models.load_model/ tf_keras.models.load_model/g" /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/keras_test.py && \
+    sed -i "/import tensorflow as tf/a import tf_keras" /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/test_runner.py && \
+    sed -i "/import tensorflow as tf/a import tf_keras" /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/wrappers.py && \
+    sed -i -e "/import tensorflow as tf/a import tf_keras" \
+           -e "s/optimizer=optimizers.Adam()/optimizer=tf_keras.optimizers.Adam()/g" \
+           /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/wrappers_pre_generated.py && \
+   find /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests -type f -exec sed -i "s/tf.keras./tf_keras./g" {} \;
+
+ADD patches/keras_internal.py /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/keras_internal.py
+ADD patches/keras_internal_test.py /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/keras_internal_test.py
+
+# Remove "--no-deps" flag and "namex" package once Keras 3.* is included in our base image.
+# We ignore dependencies since tf2.15 and Keras 3.* should work despite pip saying it won't.
+# Currently, keras tries to install a nightly version of tf 2.16: https://github.com/keras-team/keras/blob/fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd/requirements.txt#L2
+RUN pip install --no-deps "keras>3" keras-cv keras-nlp namex && \
     /tmp/clean-layer.sh
 
 RUN pip install pysal

From afb87038d820f1c883bc681b40fbe3b1a8cd6673 Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Thu, 8 Feb 2024 01:50:55 -0800
Subject: [PATCH 1496/1660] Create keras_internal.py

---
 patches/keras_internal.py | 24 ++++++++++++++++++++++++
 1 file changed, 24 insertions(+)
 create mode 100644 patches/keras_internal.py

diff --git a/patches/keras_internal.py b/patches/keras_internal.py
new file mode 100644
index 00000000..e28127f9
--- /dev/null
+++ b/patches/keras_internal.py
@@ -0,0 +1,24 @@
+# Copyright 2021 Google LLC.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Access to Keras function with a different internal and external path."""
+
+from tf_keras.src.engine import data_adapter as _data_adapter
+from tf_keras.src.models import Functional
+from tf_keras.layers import DenseFeatures
+from tf_keras.src.utils.dataset_creator import DatasetCreator
+
+
+unpack_x_y_sample_weight = _data_adapter.unpack_x_y_sample_weight
+get_data_handler = _data_adapter.get_data_handler

From 00c3e4de41c322d555fadb77f11adb5a546986b5 Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Thu, 8 Feb 2024 01:51:27 -0800
Subject: [PATCH 1497/1660] Create keras_internal_test.py

---
 patches/keras_internal_test.py | 23 +++++++++++++++++++++++
 1 file changed, 23 insertions(+)
 create mode 100644 patches/keras_internal_test.py

diff --git a/patches/keras_internal_test.py b/patches/keras_internal_test.py
new file mode 100644
index 00000000..edc33ec2
--- /dev/null
+++ b/patches/keras_internal_test.py
@@ -0,0 +1,23 @@
+# Copyright 2021 Google LLC.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     https://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import tensorflow as tf
+from tensorflow_decision_forests.keras import keras_internal
+
+
+# Does nothing. Ensures keras_internal can be loaded.
+
+if __name__ == "__main__":
+  tf.test.main()
+  

From b9f727c19505743e90cf35ad8b3dd0a3d8d2b48c Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Thu, 8 Feb 2024 09:44:46 -0800
Subject: [PATCH 1498/1660] Create keras_patch.sh

---
 patches/keras_patch.sh | 41 +++++++++++++++++++++++++++++++++++++++++
 1 file changed, 41 insertions(+)
 create mode 100644 patches/keras_patch.sh

diff --git a/patches/keras_patch.sh b/patches/keras_patch.sh
new file mode 100644
index 00000000..9f219026
--- /dev/null
+++ b/patches/keras_patch.sh
@@ -0,0 +1,41 @@
+#!/bin/bash
+
+# The following "sed" are to patch the current version of tf-df with
+# a fix for keras 3. In essence, replaces the use of package name "tf.keras" with 
+# "tf_keras"
+
+sed -i "/import tensorflow_decision_forests as tfdf/a import tf_keras" /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/__init__.py && \
+sed -i -e "/import tensorflow as tf/a import tf_keras" \
+       -e "/from yggdrasil_decision_forests.utils.distribute.implementations.grpc/a from tensorflow_decision_forests.keras import keras_internal" \
+       -e '/try:/{:a;N;/backend = tf.keras.backend/!ba;d}'\
+       /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/core.py && \
+sed -i -e "s/from typing import Optional, List, Dict, Any, Union, NamedTuple/from typing import Any, Dict, List, NamedTuple, Optional, Union/g" \
+       -e "/import tensorflow as tf/a from tensorflow_decision_forests.keras import keras_internal" \
+       -e "/import tensorflow as tf/a import tf_keras" \
+       -e '/layers = tf.keras.layers/{:a;N;/backend = tf.keras.backend/!ba;d}' \
+       /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/core_inference.py && \
+find /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests -type f -exec sed -i \
+     -e "s/get_data_handler/keras_internal.get_data_handler/g" \
+     -e 's/"models.Functional"/keras_internal.Functional/g' \
+     -e "s/tf.keras.utils.unpack_x_y_sample_weight/keras_internal.unpack_x_y_sample_weight/g" \
+     -e "s/tf.keras.utils.experimental/keras_internal/g" \
+     {} \; && \
+sed -i -e "/import tensorflow as tf/a import tf_keras" \
+       -e "/from tensorflow_decision_forests.keras import core/a from tensorflow_decision_forests.keras import keras_internal" \
+       -e '/layers = tf.keras.layers/{:a;N;/callbacks = tf.keras.callbacks/!ba;d}' \
+       /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/keras_test.py && \
+find /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras -type f -exec sed -i \
+     -e "s/ layers.Input/ tf_keras.layers.Input/g" \
+     -e "s/layers.minimum/tf_keras.layers.minimum/g" \
+     -e "s/layers.Concatenate/tf_keras.layers.Concatenate/g" \
+     -e "s/layers.Dense/tf_keras.layers.Dense/g" \
+     -e "s/layers.experimental.preprocessing./tf_keras.layers./g" \
+     -e "s/layers.DenseFeatures/keras_internal.layers.DenseFeatures/g" \
+     -e "s/models.Model/tf_keras.models.Model/g" {} \; && \
+sed -i "s/ models.load_model/ tf_keras.models.load_model/g" /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/keras_test.py && \
+sed -i "/import tensorflow as tf/a import tf_keras" /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/test_runner.py && \
+sed -i "/import tensorflow as tf/a import tf_keras" /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/wrappers.py && \
+sed -i -e "/import tensorflow as tf/a import tf_keras" \
+       -e "s/optimizer=optimizers.Adam()/optimizer=tf_keras.optimizers.Adam()/g" \
+       /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/wrappers_pre_generated.py && \
+find /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests -type f -exec sed -i "s/tf.keras./tf_keras./g" {} \;

From bca30bdd51187eb73c256128300999e3b72905d7 Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Thu, 8 Feb 2024 10:06:09 -0800
Subject: [PATCH 1499/1660] refactor sed commands

---
 Dockerfile.tmpl | 37 ++-----------------------------------
 1 file changed, 2 insertions(+), 35 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 00000d6b..1bf51cdd 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -62,6 +62,7 @@ ENV KMP_SETTINGS=false
 ENV PIP_ROOT_USER_ACTION=ignore
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
+ADD patches/keras_patch.sh  /tmp/keras_patch.sh
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
 ADD patches/template_conf.json /opt/kaggle/conf.json
 
@@ -216,41 +217,7 @@ RUN pip install \
 RUN pip install tensorflow_decision_forests --no-deps && \
     /tmp/clean-layer.sh
 
-RUN sed -i "/import tensorflow_decision_forests as tfdf/a import tf_keras" /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/__init__.py && \
-    sed -i -e "/import tensorflow as tf/a import tf_keras" \
-           -e "/from yggdrasil_decision_forests.utils.distribute.implementations.grpc/a from tensorflow_decision_forests.keras import keras_internal" \
-           -e '/try:/{:a;N;/backend = tf.keras.backend/!ba;d}'\
-           /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/core.py && \
-    sed -i -e "s/from typing import Optional, List, Dict, Any, Union, NamedTuple/from typing import Any, Dict, List, NamedTuple, Optional, Union/g" \
-           -e "/import tensorflow as tf/a from tensorflow_decision_forests.keras import keras_internal" \
-           -e "/import tensorflow as tf/a import tf_keras" \
-           -e '/layers = tf.keras.layers/{:a;N;/backend = tf.keras.backend/!ba;d}' \
-           /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/core_inference.py && \
-    find /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests -type f -exec sed -i \
-         -e "s/get_data_handler/keras_internal.get_data_handler/g" \
-         -e 's/"models.Functional"/keras_internal.Functional/g' \
-         -e "s/tf.keras.utils.unpack_x_y_sample_weight/keras_internal.unpack_x_y_sample_weight/g" \
-         -e "s/tf.keras.utils.experimental/keras_internal/g" \
-         {} \; && \
-    sed -i -e "/import tensorflow as tf/a import tf_keras" \
-           -e "/from tensorflow_decision_forests.keras import core/a from tensorflow_decision_forests.keras import keras_internal" \
-           -e '/layers = tf.keras.layers/{:a;N;/callbacks = tf.keras.callbacks/!ba;d}' \
-           /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/keras_test.py && \
-    find /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras -type f -exec sed -i \
-         -e "s/ layers.Input/ tf_keras.layers.Input/g" \
-         -e "s/layers.minimum/tf_keras.layers.minimum/g" \
-         -e "s/layers.Concatenate/tf_keras.layers.Concatenate/g" \
-         -e "s/layers.Dense/tf_keras.layers.Dense/g" \
-         -e "s/layers.experimental.preprocessing./tf_keras.layers./g" \
-         -e "s/layers.DenseFeatures/keras_internal.layers.DenseFeatures/g" \
-         -e "s/models.Model/tf_keras.models.Model/g" {} \; && \
-    sed -i "s/ models.load_model/ tf_keras.models.load_model/g" /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/keras_test.py && \
-    sed -i "/import tensorflow as tf/a import tf_keras" /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/test_runner.py && \
-    sed -i "/import tensorflow as tf/a import tf_keras" /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/wrappers.py && \
-    sed -i -e "/import tensorflow as tf/a import tf_keras" \
-           -e "s/optimizer=optimizers.Adam()/optimizer=tf_keras.optimizers.Adam()/g" \
-           /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/wrappers_pre_generated.py && \
-   find /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests -type f -exec sed -i "s/tf.keras./tf_keras./g" {} \;
+RUN /tmp/keras_patch.sh
 
 ADD patches/keras_internal.py /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/keras_internal.py
 ADD patches/keras_internal_test.py /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/keras_internal_test.py

From e1d8e9596e9775bf1d6fedf5edcd5f86bca71519 Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Thu, 8 Feb 2024 10:06:45 -0800
Subject: [PATCH 1500/1660] Delete tests/test_tensorflowjs.py

forgot to delete this test
---
 tests/test_tensorflowjs.py | 18 ------------------
 1 file changed, 18 deletions(-)
 delete mode 100644 tests/test_tensorflowjs.py

diff --git a/tests/test_tensorflowjs.py b/tests/test_tensorflowjs.py
deleted file mode 100644
index d0a5de6a..00000000
--- a/tests/test_tensorflowjs.py
+++ /dev/null
@@ -1,18 +0,0 @@
-import os
-import subprocess
-import unittest
-
-class TestTensorflowjs(unittest.TestCase):
-    def test_version(self):
-        result = subprocess.run([
-                'tensorflowjs_converter',
-                '--help',
-            ],
-            stdout=subprocess.PIPE,
-            stderr=subprocess.PIPE,
-        )
-
-        print("tensorflowjs_converter help: ", result)
-
-        self.assertEqual(0, result.returncode)
-        self.assertIn(b'tensorflowjs', result.stdout)

From 8bcef0fd2b3cea247f13ccf9a9ffe4d446111689 Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Thu, 8 Feb 2024 11:09:09 -0800
Subject: [PATCH 1501/1660] permission fix Dockerfile.tmpl

---
 Dockerfile.tmpl | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 1bf51cdd..0027fca1 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -217,7 +217,8 @@ RUN pip install \
 RUN pip install tensorflow_decision_forests --no-deps && \
     /tmp/clean-layer.sh
 
-RUN /tmp/keras_patch.sh
+RUN chmod +x /tmp/keras_patch.sh && \
+    /tmp/keras_patch.sh
 
 ADD patches/keras_internal.py /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/keras_internal.py
 ADD patches/keras_internal_test.py /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/keras_internal_test.py

From 15e057c79e45016bdb4200a773b3dbf9f3e1dbef Mon Sep 17 00:00:00 2001
From: Will Cromar <wcromar@google.com>
Date: Mon, 26 Feb 2024 11:49:33 -0800
Subject: [PATCH 1502/1660] Bump PyTorch version to 2.2

---
 tpu/config.txt | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/tpu/config.txt b/tpu/config.txt
index a544de0f..6d6bc722 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -7,11 +7,11 @@ TF_LIBTPU_VERSION=1.9.0
 TF_LINUX_WHEEL_VERSION=manylinux_2_17_x86_64.manylinux2014_x86_64
 JAX_VERSION=0.4.23
 # Supports nightly
-TORCH_VERSION=2.1.0
+TORCH_VERSION=2.2.0
 # https://github.com/pytorch/audio supports nightly
-TORCHAUDIO_VERSION=2.1.0
+TORCHAUDIO_VERSION=2.2.1
 # https://github.com/pytorch/text supports main
-TORCHTEXT_VERSION=0.16.0
+TORCHTEXT_VERSION=0.17.1
 # https://github.com/pytorch/vision supports nightly
-TORCHVISION_VERSION=0.16.0
+TORCHVISION_VERSION=0.17.1
 TORCH_LINUX_WHEEL_VERSION=manylinux_2_28_x86_64

From da1e2ec3b107c6dc9d4746eab75f6774f8be83e3 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 27 Feb 2024 11:56:10 -0500
Subject: [PATCH 1503/1660] TORCH_VERSION=2.2.1

---
 tpu/config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tpu/config.txt b/tpu/config.txt
index 6d6bc722..956aa10b 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -7,7 +7,7 @@ TF_LIBTPU_VERSION=1.9.0
 TF_LINUX_WHEEL_VERSION=manylinux_2_17_x86_64.manylinux2014_x86_64
 JAX_VERSION=0.4.23
 # Supports nightly
-TORCH_VERSION=2.2.0
+TORCH_VERSION=2.2.1
 # https://github.com/pytorch/audio supports nightly
 TORCHAUDIO_VERSION=2.2.1
 # https://github.com/pytorch/text supports main

From 3a44db1cde5414a95bbaaf0d10c1168f7c5d1e7e Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 27 Feb 2024 13:30:20 -0500
Subject: [PATCH 1504/1660] Torch XLA 2.2.0 w/ TORCH 2.2.1

---
 tpu/config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tpu/config.txt b/tpu/config.txt
index 956aa10b..6d6bc722 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -7,7 +7,7 @@ TF_LIBTPU_VERSION=1.9.0
 TF_LINUX_WHEEL_VERSION=manylinux_2_17_x86_64.manylinux2014_x86_64
 JAX_VERSION=0.4.23
 # Supports nightly
-TORCH_VERSION=2.2.1
+TORCH_VERSION=2.2.0
 # https://github.com/pytorch/audio supports nightly
 TORCHAUDIO_VERSION=2.2.1
 # https://github.com/pytorch/text supports main

From 7e3c0475f3c6909201e8197aeaaea26adc148bdf Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 27 Feb 2024 13:32:00 -0500
Subject: [PATCH 1505/1660] Use fuzzy torch version

---
 tpu/Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 9b894f54..db51f5b4 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -55,7 +55,7 @@ ADD patches/kaggle_datasets.py /root/.local/lib/${PYTHON_VERSION_PATH}/site-pack
 # Additional useful packages should be added here
 
 RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TF_LINUX_WHEEL_VERSION}.whl tensorflow-probability tensorflow-io \
-    torch==${TORCH_VERSION} https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-${TORCH_VERSION}+libtpu-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TORCH_LINUX_WHEEL_VERSION}.whl torchvision==${TORCHVISION_VERSION} torchtext==${TORCHTEXT_VERSION} torchaudio==${TORCHAUDIO_VERSION} \
+    torch~=${TORCH_VERSION} https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-${TORCH_VERSION}+libtpu-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TORCH_LINUX_WHEEL_VERSION}.whl torchvision==${TORCHVISION_VERSION} torchtext==${TORCHTEXT_VERSION} torchaudio==${TORCHAUDIO_VERSION} \
     jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax git+https://github.com/deepmind/dm-haiku jraph distrax \
     papermill jupyterlab python-lsp-server[all] "jupyter-lsp==1.5.1" \
     pandas matplotlib opencv-python-headless librosa accelerate diffusers scikit-learn transformers \

From 19ebe328679e2630805d612aa1bbe02703676c3c Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Thu, 7 Mar 2024 11:59:40 -0500
Subject: [PATCH 1506/1660] Adding packages to TPU VM

Adding some highly used packages

http://b/328610361
---
 tpu/Dockerfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index db51f5b4..b10f534a 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -59,6 +59,7 @@ RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-ar
     jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax git+https://github.com/deepmind/dm-haiku jraph distrax \
     papermill jupyterlab python-lsp-server[all] "jupyter-lsp==1.5.1" \
     pandas matplotlib opencv-python-headless librosa accelerate diffusers scikit-learn transformers \
+    seaborn timm albumentations einops pyarrow fastparquet opencv-python \
     kagglehub && \
     /tmp/clean-layer.sh
 

From 96992b9d42f90e7810135a461f1ff8c8dd9dee80 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Fri, 8 Mar 2024 13:46:55 -0500
Subject: [PATCH 1507/1660] Pin libpysal

Should fix module 'shapely' has no attribute 'Geometry'. Did you mean: 'geometry'

http://b/328788268
---
 Dockerfile.tmpl | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 0027fca1..29d25c78 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -229,7 +229,8 @@ ADD patches/keras_internal_test.py /opt/conda/lib/python3.10/site-packages/tenso
 RUN pip install --no-deps "keras>3" keras-cv keras-nlp namex && \
     /tmp/clean-layer.sh
 
-RUN pip install pysal
+# b/328788268 libpysal 4.10 seems to fail with "module 'shapely' has no attribute 'Geometry'. Did you mean: 'geometry'"
+RUN pip install pysal "libpysal==4.9.2"
 
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \

From b38e564785ccdad5f62ad670b0e340e06616dfe7 Mon Sep 17 00:00:00 2001
From: Jonathan Calderon Chavez <chavezcalderon@google.com>
Date: Wed, 13 Mar 2024 17:09:33 +0000
Subject: [PATCH 1508/1660] bad work

---
 Dockerfile.tmpl | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 29d25c78..232106ed 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -1,4 +1,4 @@
-ARG BASE_IMAGE_REPO
+ARG BASE_IMAGE_REPOtpo
 ARG BASE_IMAGE_TAG
 ARG CPU_BASE_IMAGE_NAME
 ARG GPU_BASE_IMAGE_NAME
@@ -318,7 +318,6 @@ RUN pip install mpld3 \
         path.py \
         Geohash && \
     pip install deap \
-        tpot \
         scikit-optimize \
         haversine \
         toolz cytoolz \

From 9196e666553782b0a8adb470af8b5186f95ae644 Mon Sep 17 00:00:00 2001
From: Jonathan Calderon Chavez <chavezcalderon@google.com>
Date: Wed, 13 Mar 2024 17:09:36 +0000
Subject: [PATCH 1509/1660] Revert "bad work"

This reverts commit b38e564785ccdad5f62ad670b0e340e06616dfe7.
---
 Dockerfile.tmpl | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 232106ed..29d25c78 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -1,4 +1,4 @@
-ARG BASE_IMAGE_REPOtpo
+ARG BASE_IMAGE_REPO
 ARG BASE_IMAGE_TAG
 ARG CPU_BASE_IMAGE_NAME
 ARG GPU_BASE_IMAGE_NAME
@@ -318,6 +318,7 @@ RUN pip install mpld3 \
         path.py \
         Geohash && \
     pip install deap \
+        tpot \
         scikit-optimize \
         haversine \
         toolz cytoolz \

From a72afb08dfc219d6eacc56287bf639631561f5b9 Mon Sep 17 00:00:00 2001
From: Jonathan Calderon Chavez <chavezcalderon@google.com>
Date: Wed, 13 Mar 2024 23:55:20 +0000
Subject: [PATCH 1510/1660] fix learntool x sklearn

---
 Dockerfile.tmpl | 19 ++++++++++---------
 1 file changed, 10 insertions(+), 9 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 29d25c78..5b078767 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -190,7 +190,7 @@ RUN JAXVER=$(pip freeze | grep -e "^jax==") && \
     pip install --upgrade \
         "matplotlib<3.8.0" \
         seaborn \
-        python-dateutil dask igraph \
+        python-dateutil dask dask-expr igraph \
         pyyaml joblib husl geopy mne pyshp \
         pandas \
         polars \
@@ -269,8 +269,6 @@ RUN pip install opencv-contrib-python opencv-python && \
     /tmp/clean-layer.sh
 
 RUN pip install scipy \
-        # b/302136621 Fix eli5 import for learntools
-        "scikit-learn<1.3" \
         # Scikit-learn accelerated library for x86
         scikit-learn-intelex>=2023.0.1 \
         # HDF5 support
@@ -318,7 +316,8 @@ RUN pip install mpld3 \
         path.py \
         Geohash && \
     pip install deap \
-        tpot \
+        # b/302136621 Fix eli5 import for learntools, newer version require scikit-learn > 1.3
+        "tpot==0.12.1" \
         scikit-optimize \
         haversine \
         toolz cytoolz \
@@ -537,19 +536,21 @@ RUN pip install flashtext \
         s3fs \
         featuretools \
         #-e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper \
-        hpsklearn \
         git+https://github.com/Kaggle/learntools \
-        kmapper \
-        shap \
         ray \
         gym \
         pyarabic \
         pandasql \
+	# b/302136621 Fix eli5 import for learntools
+        scikit-learn==1.2.2 \
+	hpsklearn \
+        kmapper \
+        shap \
+        cesium \
+        rgf_python \
         jieba  \
         # ggplot is broken and main repo does not merge and release https://github.com/yhat/ggpy/pull/668
         https://github.com/hbasria/ggpy/archive/0.11.5.zip \
-        cesium \
-        rgf_python \
         tsfresh \
         pykalman \
         optuna \

From 2dd9f434b0b594be962cbb77ef2562f75f471155 Mon Sep 17 00:00:00 2001
From: Jonathan Calderon Chavez <chavezcalderon@google.com>
Date: Thu, 14 Mar 2024 20:33:40 +0000
Subject: [PATCH 1511/1660] pin tfdf new ver. not comp

---
 Dockerfile.tmpl | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 5b078767..16423203 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -198,7 +198,8 @@ RUN JAXVER=$(pip freeze | grep -e "^jax==") && \
         "${JAXVER}" && \
     /tmp/clean-layer.sh
 
-RUN apt-get install -y default-jre && \
+RUN apt-get update && \
+    apt-get install -y default-jre && \
     /tmp/clean-layer.sh
 
 RUN pip install -f http://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html h2o && /tmp/clean-layer.sh
@@ -214,7 +215,7 @@ RUN pip install \
     /tmp/clean-layer.sh
 
 # b/318672158 Use simply tensorflow_decision_forests on next release, expected with tf 2.16
-RUN pip install tensorflow_decision_forests --no-deps && \
+RUN pip install tensorflow_decision_forests==1.8.1 --no-deps && \
     /tmp/clean-layer.sh
 
 RUN chmod +x /tmp/keras_patch.sh && \

From c2a91a65806945e1a8b618ab37de7a5fe31e0124 Mon Sep 17 00:00:00 2001
From: Jonathan Calderon Chavez <chavezcalderon@google.com>
Date: Thu, 14 Mar 2024 09:52:55 +0000
Subject: [PATCH 1512/1660] package removal pt1

---
 Dockerfile.tmpl | 12 +-----------
 1 file changed, 1 insertion(+), 11 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 16423203..3562c381 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -274,14 +274,11 @@ RUN pip install scipy \
         scikit-learn-intelex>=2023.0.1 \
         # HDF5 support
         h5py \
-        biopython \
         # PUDB, for local debugging convenience
         pudb \
         imbalanced-learn \
         # Profiling and other utilities
         line_profiler \
-        orderedmultidict \
-        smhasher \
         bokeh \
         numba \
         datashader \
@@ -326,9 +323,7 @@ RUN pip install mpld3 \
         hyperopt \
         fitter \
         langid \
-        # Delorean. Useful for dealing with datetime
-        delorean \
-        trueskill \
+         trueskill \
         # Useful data exploration libraries (for missing data and generating reports)
         missingno \
         pandas-profiling \
@@ -351,7 +346,6 @@ RUN pip install mpld3 \
         wavio \
         SimpleITK \
         hmmlearn \
-        bayespy \
         gplearn \
         PyAstronomy \
         squarify \
@@ -396,17 +390,14 @@ RUN pip install tensorpack && \
     pip install librosa \
         polyglot \
         mmh3 \
-        fbpca \
         sentencepiece \
         cufflinks \
         lime \
         memory_profiler && \
     /tmp/clean-layer.sh
 
-# install cython & cysignals before pyfasttext
 RUN pip install cython \
         cysignals \
-        pyfasttext \
         fasttext && \
     apt-get install -y libhunspell-dev && pip install hunspell
 RUN pip install annoy \
@@ -530,7 +521,6 @@ RUN pip install flashtext \
         # b/214080882 blake3 0.3.0 is not compatible with vaex.
         blake3==0.2.1 \
         vaex \
-        marisa-trie \
         pyemd \
         pyupset \
         pympler \

From 69954b934f658e4f1605c37bb18532df694c9857 Mon Sep 17 00:00:00 2001
From: Jonathan Calderon Chavez <chavezcalderon@google.com>
Date: Thu, 14 Mar 2024 09:58:02 +0000
Subject: [PATCH 1513/1660] remove cysignals

---
 Dockerfile.tmpl | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 3562c381..09aa126c 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -397,7 +397,6 @@ RUN pip install tensorpack && \
     /tmp/clean-layer.sh
 
 RUN pip install cython \
-        cysignals \
         fasttext && \
     apt-get install -y libhunspell-dev && pip install hunspell
 RUN pip install annoy \

From 520420a50f3fbd86a38ae613cadd215896fe61bf Mon Sep 17 00:00:00 2001
From: Jonathan Calderon Chavez <chavezcalderon@google.com>
Date: Fri, 15 Mar 2024 18:06:37 +0000
Subject: [PATCH 1514/1660] pin

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 16423203..c0b1d6fd 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -546,7 +546,7 @@ RUN pip install flashtext \
         scikit-learn==1.2.2 \
 	hpsklearn \
         kmapper \
-        shap \
+        shap==0.44.1 \
         cesium \
         rgf_python \
         jieba  \

From 1e7e1b65da9b5971d631aca640bfb517e5a4519b Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Fri, 15 Mar 2024 11:11:13 -0700
Subject: [PATCH 1515/1660] comment bug

---
 Dockerfile.tmpl | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index c0b1d6fd..1528230f 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -546,6 +546,7 @@ RUN pip install flashtext \
         scikit-learn==1.2.2 \
 	hpsklearn \
         kmapper \
+	# b/329869023 shap 0.45.0 breaks learntools
         shap==0.44.1 \
         cesium \
         rgf_python \

From 7d4b0dab74abb2dec0ce9fda6a46bca5d947c48b Mon Sep 17 00:00:00 2001
From: Jonathan Calderon Chavez <chavezcalderon@google.com>
Date: Sat, 16 Mar 2024 00:26:53 +0000
Subject: [PATCH 1516/1660] remove tests

---
 tests/test_pyfasttext.py | 9 ---------
 1 file changed, 9 deletions(-)
 delete mode 100644 tests/test_pyfasttext.py

diff --git a/tests/test_pyfasttext.py b/tests/test_pyfasttext.py
deleted file mode 100644
index 1ebf5211..00000000
--- a/tests/test_pyfasttext.py
+++ /dev/null
@@ -1,9 +0,0 @@
-import unittest
-
-from pyfasttext import FastText
-
-class TestPyFasttext(unittest.TestCase):
-    def test_vector(self):
-        model = FastText()
-
-        model.supervised(input='/input/tests/data/text.txt', output='model', epoch=1, lr=0.7)

From 5c805377b645fe4916a52cdf178f765d3cc33dad Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Fri, 22 Mar 2024 22:09:03 -0400
Subject: [PATCH 1517/1660] opencv-python support TPU VM

Fixing a bug where import cv2 on TPU VM wouldn't work.
---
 tpu/Dockerfile | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index b10f534a..b11bb59d 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -38,6 +38,11 @@ ADD patches/kaggle_datasets.py /root/.local/lib/${PYTHON_VERSION_PATH}/site-pack
 # sitecustomize adds significant latency to ipython kernel startup and should only be added if needed
 # ADD patches/sitecustomize.py /root/.local/lib/${PYTHON_VERSION_PATH}/site-packages/sitecustomize.py
 
+# Prereqs
+# This is needed for cv2 (opencv-python):
+# https://stackoverflow.com/questions/55313610/importerror-libgl-so-1-cannot-open-shared-object-file-no-such-file-or-directo
+RUN apt-get update && apt-get install ffmpeg libsm6 libxext6  -y
+
 # Install all the packages together for maximum compatibility.
 
 # Install Tensorflow.

From 8700ad0639a7aa4f269334bb47b885dcfa87d0a9 Mon Sep 17 00:00:00 2001
From: Lucy He <lucyhe@google.com>
Date: Wed, 27 Mar 2024 23:27:45 +0000
Subject: [PATCH 1518/1660] [b/331681978] Use Short URLs in KaggleFileResolver

---
 patches/kaggle_module_resolver.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/patches/kaggle_module_resolver.py b/patches/kaggle_module_resolver.py
index 5e0c5d8a..b1e7b1d2 100644
--- a/patches/kaggle_module_resolver.py
+++ b/patches/kaggle_module_resolver.py
@@ -4,7 +4,7 @@
 
 from tensorflow_hub import resolver
 
-url_pattern = re.compile(r"https?://([a-z]+\.)?kaggle.com/models/(?P<owner>[^\\/]+)/(?P<model>[^\\/]+)/frameworks/(?P<framework>[^\\/]+)/variations/(?P<variation>[^\\/]+)/versions/(?P<version>[0-9]+)$")
+url_pattern = re.compile(r"https?://([a-z]+\.)?kaggle.com/models/(?P<owner>[^\\/]+)/(?P<model>[^\\/]+)/(?P<framework>[^\\/]+)/(?P<variation>[^\\/]+)/(?P<version>[0-9]+)$")
 
 def _is_on_kaggle_notebook():
     return os.getenv("KAGGLE_KERNEL_RUN_TYPE") != None and os.getenv("KAGGLE_USER_SECRETS_TOKEN") != None

From 4f92929a44350bfdb26db7cfd6eac815cc1879d9 Mon Sep 17 00:00:00 2001
From: Lucy He <lucyhe@google.com>
Date: Wed, 27 Mar 2024 23:35:51 +0000
Subject: [PATCH 1519/1660] Either long or short

---
 patches/kaggle_module_resolver.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/patches/kaggle_module_resolver.py b/patches/kaggle_module_resolver.py
index b1e7b1d2..4527875d 100644
--- a/patches/kaggle_module_resolver.py
+++ b/patches/kaggle_module_resolver.py
@@ -4,7 +4,8 @@
 
 from tensorflow_hub import resolver
 
-url_pattern = re.compile(r"https?://([a-z]+\.)?kaggle.com/models/(?P<owner>[^\\/]+)/(?P<model>[^\\/]+)/(?P<framework>[^\\/]+)/(?P<variation>[^\\/]+)/(?P<version>[0-9]+)$")
+short_url_pattern = re.compile(r"https?://([a-z]+\.)?kaggle.com/models/(?P<owner>[^\\/]+)/(?P<model>[^\\/]+)/(?P<framework>[^\\/]+)/(?P<variation>[^\\/]+)/(?P<version>[0-9]+)$")
+long_url_pattern = re.compile(r"https?://([a-z]+\.)?kaggle.com/models/(?P<owner>[^\\/]+)/(?P<model>[^\\/]+)/frameworks/(?P<framework>[^\\/]+)/variations/(?P<variation>[^\\/]+)/versions/(?P<version>[0-9]+)$")
 
 def _is_on_kaggle_notebook():
     return os.getenv("KAGGLE_KERNEL_RUN_TYPE") != None and os.getenv("KAGGLE_USER_SECRETS_TOKEN") != None
@@ -17,5 +18,5 @@ def is_supported(self, handle):
         return _is_on_kaggle_notebook() and _is_kaggle_handle(handle)    
     
     def __call__(self, handle):
-        m = url_pattern.match(handle)
+        m = long_url_pattern.match(handle) or short_url_pattern.match(handle)
         return kagglehub.model_download(f"{m.group('owner')}/{m.group('model')}/{m.group('framework').lower()}/{m.group('variation')}/{m.group('version')}")
\ No newline at end of file

From 570722374f3ffdef4fd06c9e652f759deb18152d Mon Sep 17 00:00:00 2001
From: Lucy He <lucyhe@google.com>
Date: Wed, 27 Mar 2024 23:57:42 +0000
Subject: [PATCH 1520/1660] Add unit test

---
 tests/test_kaggle_module_resolver.py | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/tests/test_kaggle_module_resolver.py b/tests/test_kaggle_module_resolver.py
index 9c88c563..48c90d63 100644
--- a/tests/test_kaggle_module_resolver.py
+++ b/tests/test_kaggle_module_resolver.py
@@ -79,12 +79,18 @@ def do_POST(self):
             self.wfile.write(bytes(f"Unhandled path: {self.path}", "utf-8"))
 
 class TestKaggleModuleResolver(unittest.TestCase):
-    def test_kaggle_resolver_succeeds(self):        
+    def test_kaggle_resolver_long_url_succeeds(self):        
         with create_test_server(KaggleJwtHandler) as addr:
             test_inputs = tf.ones([1,4])
             layer = hub.KerasLayer("https://kaggle.com/models/foo/foomodule/frameworks/TensorFlow2/variations/barvar/versions/2")
             self.assertEqual([1, 1], layer(test_inputs).shape)
 
+    def test_kaggle_resolver_short_url_succeeds(self):        
+        with create_test_server(KaggleJwtHandler) as addr:
+            test_inputs = tf.ones([1,4])
+            layer = hub.KerasLayer("https://kaggle.com/models/foo/foomodule/TensorFlow2/barvar/2")
+            self.assertEqual([1, 1], layer(test_inputs).shape)
+
     def test_kaggle_resolver_not_attached_throws(self):
         with create_test_server(KaggleJwtHandler) as addr:
             with self.assertRaises(BackendError):

From 4d263e2c8579ceee9c095a0cde31abbe03fb6dd6 Mon Sep 17 00:00:00 2001
From: Jonathan Calderon Chavez <chavezcalderon@google.com>
Date: Thu, 28 Mar 2024 17:43:39 +0000
Subject: [PATCH 1521/1660] add b

---
 Dockerfile.tmpl | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index fcaec877..a7831a81 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -211,6 +211,8 @@ RUN pip install \
         git+https://github.com/tensorflow/probability.git@fbc5ebe9b1d343113fb917010096cfd88b32eecf \
         tensorflow_text \
         "tensorflow_hub>=0.16.0" \
+        # b/331799280 remove once other packages over to dm-tre
+        optree \
         tf-keras && \
     /tmp/clean-layer.sh
 

From 2663eec1000bdb1cab0537f52cb7b9c583ac2a46 Mon Sep 17 00:00:00 2001
From: Lucy He <lucyhe@google.com>
Date: Fri, 29 Mar 2024 20:47:01 +0000
Subject: [PATCH 1522/1660] Fix test

---
 patches/kaggle_module_resolver.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/patches/kaggle_module_resolver.py b/patches/kaggle_module_resolver.py
index 4527875d..430cb980 100644
--- a/patches/kaggle_module_resolver.py
+++ b/patches/kaggle_module_resolver.py
@@ -11,7 +11,7 @@ def _is_on_kaggle_notebook():
     return os.getenv("KAGGLE_KERNEL_RUN_TYPE") != None and os.getenv("KAGGLE_USER_SECRETS_TOKEN") != None
 
 def _is_kaggle_handle(handle):
-    return url_pattern.match(handle) != None
+    return long_url_pattern.match(handle) != None or short_url_pattern.match(handle) != None
 
 class KaggleFileResolver(resolver.HttpResolverBase):
     def is_supported(self, handle):
@@ -19,4 +19,4 @@ def is_supported(self, handle):
     
     def __call__(self, handle):
         m = long_url_pattern.match(handle) or short_url_pattern.match(handle)
-        return kagglehub.model_download(f"{m.group('owner')}/{m.group('model')}/{m.group('framework').lower()}/{m.group('variation')}/{m.group('version')}")
\ No newline at end of file
+        return kagglehub.model_download(f"{m.group('owner')}/{m.group('model')}/{m.group('framework').lower()}/{m.group('variation')}/{m.group('version')}")

From cf78793e7f92447a09404e2fc004e98f0d987ee7 Mon Sep 17 00:00:00 2001
From: Lucy He <lucyhe@google.com>
Date: Fri, 29 Mar 2024 22:33:28 +0000
Subject: [PATCH 1523/1660] Fix test

---
 tests/test_kaggle_module_resolver.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/tests/test_kaggle_module_resolver.py b/tests/test_kaggle_module_resolver.py
index 48c90d63..ca7ecec5 100644
--- a/tests/test_kaggle_module_resolver.py
+++ b/tests/test_kaggle_module_resolver.py
@@ -52,6 +52,7 @@ def do_POST(self):
             request = json.loads(self.rfile.read(content_length))
             model_ref = request["modelRef"]
 
+
             self.send_response(200)
             self.send_header("Content-type", "application/json")
             self.end_headers()
@@ -88,7 +89,7 @@ def test_kaggle_resolver_long_url_succeeds(self):
     def test_kaggle_resolver_short_url_succeeds(self):        
         with create_test_server(KaggleJwtHandler) as addr:
             test_inputs = tf.ones([1,4])
-            layer = hub.KerasLayer("https://kaggle.com/models/foo/foomodule/TensorFlow2/barvar/2")
+            layer = hub.KerasLayer("https://kaggle.com/models/bar/barmodule/pyTorch/barvar/1")
             self.assertEqual([1, 1], layer(test_inputs).shape)
 
     def test_kaggle_resolver_not_attached_throws(self):

From fce7103693fb2f4be5daa946bf754ed44c1707e5 Mon Sep 17 00:00:00 2001
From: Lucy He <lucyhe@google.com>
Date: Fri, 29 Mar 2024 22:38:51 +0000
Subject: [PATCH 1524/1660] New line

---
 tests/test_kaggle_module_resolver.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/tests/test_kaggle_module_resolver.py b/tests/test_kaggle_module_resolver.py
index ca7ecec5..598955ea 100644
--- a/tests/test_kaggle_module_resolver.py
+++ b/tests/test_kaggle_module_resolver.py
@@ -52,7 +52,6 @@ def do_POST(self):
             request = json.loads(self.rfile.read(content_length))
             model_ref = request["modelRef"]
 
-
             self.send_response(200)
             self.send_header("Content-type", "application/json")
             self.end_headers()

From 360163c0a7634c6ff547268a246531478642f672 Mon Sep 17 00:00:00 2001
From: Lucy He <lucyhe@google.com>
Date: Sat, 30 Mar 2024 01:58:51 +0000
Subject: [PATCH 1525/1660] Better way to handle test cleanup

---
 tests/test_kaggle_module_resolver.py | 23 +++++++++++++++++------
 1 file changed, 17 insertions(+), 6 deletions(-)

diff --git a/tests/test_kaggle_module_resolver.py b/tests/test_kaggle_module_resolver.py
index 598955ea..26958e09 100644
--- a/tests/test_kaggle_module_resolver.py
+++ b/tests/test_kaggle_module_resolver.py
@@ -64,8 +64,9 @@ def do_POST(self):
 
             # Load the files
             mount_slug = f"{model_ref['ModelSlug']}/{model_ref['Framework']}/{model_ref['InstanceSlug']}/{model_ref['VersionNumber']}"
-            os.makedirs(os.path.dirname(os.path.join(MOUNT_PATH, mount_slug)))
-            os.symlink('/input/tests/data/saved_model/', os.path.join(MOUNT_PATH, mount_slug), target_is_directory=True)
+            model_path = os.path.join(MOUNT_PATH, mount_slug)
+            os.makedirs(os.path.dirname(model_path))
+            os.symlink('/input/tests/data/saved_model/', model_path, target_is_directory=True)
 
             # Return the response
             self.wfile.write(bytes(json.dumps({
@@ -79,17 +80,27 @@ def do_POST(self):
             self.wfile.write(bytes(f"Unhandled path: {self.path}", "utf-8"))
 
 class TestKaggleModuleResolver(unittest.TestCase):
-    def test_kaggle_resolver_long_url_succeeds(self):        
+    def test_kaggle_resolver_long_url_succeeds(self):
+        model_url = "https://kaggle.com/models/foo/foomodule/frameworks/TensorFlow2/variations/barvar/versions/2"
         with create_test_server(KaggleJwtHandler) as addr:
             test_inputs = tf.ones([1,4])
-            layer = hub.KerasLayer("https://kaggle.com/models/foo/foomodule/frameworks/TensorFlow2/variations/barvar/versions/2")
+            layer = hub.KerasLayer(model_url)
             self.assertEqual([1, 1], layer(test_inputs).shape)
+        # Delete the files that were created in KaggleJwtHandler's do_POST method
+        model_path = os.path.join(MOUNT_PATH, "foomodule/tensorflow2/barvar/2")
+        os.unlink(model_path)
+        os.rmdir(os.path.dirname(model_path))
 
-    def test_kaggle_resolver_short_url_succeeds(self):        
+    def test_kaggle_resolver_short_url_succeeds(self):
+        model_url = "https://kaggle.com/models/foo/foomodule/TensorFlow2/barvar/2"
         with create_test_server(KaggleJwtHandler) as addr:
             test_inputs = tf.ones([1,4])
-            layer = hub.KerasLayer("https://kaggle.com/models/bar/barmodule/pyTorch/barvar/1")
+            layer = hub.KerasLayer(model_url)
             self.assertEqual([1, 1], layer(test_inputs).shape)
+        # Delete the files that were created in KaggleJwtHandler's do_POST method
+        model_path = os.path.join(MOUNT_PATH, "foomodule/tensorflow2/barvar/2")
+        os.unlink(model_path)
+        os.rmdir(os.path.dirname(model_path))
 
     def test_kaggle_resolver_not_attached_throws(self):
         with create_test_server(KaggleJwtHandler) as addr:

From 1caa6b0c5c60dfc68d055cffe1245b1f3fc86cc1 Mon Sep 17 00:00:00 2001
From: Lucy He <lucyhe@google.com>
Date: Sat, 30 Mar 2024 02:02:46 +0000
Subject: [PATCH 1526/1660] Fix security issue

---
 tests/test_kaggle_module_resolver.py | 15 ++++++---------
 1 file changed, 6 insertions(+), 9 deletions(-)

diff --git a/tests/test_kaggle_module_resolver.py b/tests/test_kaggle_module_resolver.py
index 26958e09..bb1f243e 100644
--- a/tests/test_kaggle_module_resolver.py
+++ b/tests/test_kaggle_module_resolver.py
@@ -64,9 +64,8 @@ def do_POST(self):
 
             # Load the files
             mount_slug = f"{model_ref['ModelSlug']}/{model_ref['Framework']}/{model_ref['InstanceSlug']}/{model_ref['VersionNumber']}"
-            model_path = os.path.join(MOUNT_PATH, mount_slug)
-            os.makedirs(os.path.dirname(model_path))
-            os.symlink('/input/tests/data/saved_model/', model_path, target_is_directory=True)
+            os.makedirs(os.path.dirname(os.path.join(MOUNT_PATH, mount_slug)))
+            os.symlink('/input/tests/data/saved_model/', os.path.join(MOUNT_PATH, mount_slug), target_is_directory=True)
 
             # Return the response
             self.wfile.write(bytes(json.dumps({
@@ -87,9 +86,8 @@ def test_kaggle_resolver_long_url_succeeds(self):
             layer = hub.KerasLayer(model_url)
             self.assertEqual([1, 1], layer(test_inputs).shape)
         # Delete the files that were created in KaggleJwtHandler's do_POST method
-        model_path = os.path.join(MOUNT_PATH, "foomodule/tensorflow2/barvar/2")
-        os.unlink(model_path)
-        os.rmdir(os.path.dirname(model_path))
+        os.unlink(os.path.join(MOUNT_PATH, "foomodule/tensorflow2/barvar/2"))
+        os.rmdir(os.path.dirname(os.path.join(MOUNT_PATH, "foomodule/tensorflow2/barvar/2")))
 
     def test_kaggle_resolver_short_url_succeeds(self):
         model_url = "https://kaggle.com/models/foo/foomodule/TensorFlow2/barvar/2"
@@ -98,9 +96,8 @@ def test_kaggle_resolver_short_url_succeeds(self):
             layer = hub.KerasLayer(model_url)
             self.assertEqual([1, 1], layer(test_inputs).shape)
         # Delete the files that were created in KaggleJwtHandler's do_POST method
-        model_path = os.path.join(MOUNT_PATH, "foomodule/tensorflow2/barvar/2")
-        os.unlink(model_path)
-        os.rmdir(os.path.dirname(model_path))
+        os.unlink(os.path.join(MOUNT_PATH, "foomodule/tensorflow2/barvar/2"))
+        os.rmdir(os.path.dirname(os.path.join(MOUNT_PATH, "foomodule/tensorflow2/barvar/2")))
 
     def test_kaggle_resolver_not_attached_throws(self):
         with create_test_server(KaggleJwtHandler) as addr:

From 33cfe8d1fb06f965a4d8c280e0905b1458532244 Mon Sep 17 00:00:00 2001
From: lucyhe <lucyhe@users.noreply.github.com>
Date: Mon, 1 Apr 2024 17:50:26 -0700
Subject: [PATCH 1527/1660] Update README.md to include additional ./test flags

Added instructions to run specific test or against specific image
---
 README.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/README.md b/README.md
index 614ba517..387dcf89 100644
--- a/README.md
+++ b/README.md
@@ -45,6 +45,8 @@ A suite of tests can be found under the `/tests` folder. You can run the test us
 Flags:
 
 * `--gpu` to test the GPU image.
+* `--pattern test_keras.py` or `-p test_keras.py` to run a single test
+* `--image gcr.io/kaggle-images/python:ci-pretest` or `-i gcr.io/kaggle-images/python:ci-pretest` to test against a specific image
 
 ## Running the image
 

From 86537f261f9651e321ea11227c4cc6e98455a40d Mon Sep 17 00:00:00 2001
From: Jonathan Calderon Chavez <chavezcalderon@google.com>
Date: Tue, 2 Apr 2024 16:40:25 +0000
Subject: [PATCH 1528/1660] fix datasets

---
 Dockerfile.tmpl | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index a7831a81..4f8a8c76 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -525,7 +525,6 @@ RUN pip install flashtext \
         pyemd \
         pyupset \
         pympler \
-        s3fs \
         featuretools \
         #-e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper \
         git+https://github.com/Kaggle/learntools \
@@ -561,8 +560,9 @@ RUN pip install pytorch-ignite \
         bqplot \
         earthengine-api \
         transformers \
-        # b/232247930 >= 2.2.0 requires pyarrow >= 6.0.0 which conflicts with dependencies for rapidsai 0.21.*
-        datasets==2.1.0 \
+        datasets \
+        s3fs \
+        gcsfs \
         kaggle-environments \
         geopandas \
         "shapely<2" \

From 6fb8fa60396166a4740bb4322aa9023ff716354c Mon Sep 17 00:00:00 2001
From: Jonathan Calderon Chavez <chavezcalderon@google.com>
Date: Tue, 2 Apr 2024 17:37:51 +0000
Subject: [PATCH 1529/1660] add test

---
 tests/test_hf_datasets.py | 15 +++++++++++----
 1 file changed, 11 insertions(+), 4 deletions(-)

diff --git a/tests/test_hf_datasets.py b/tests/test_hf_datasets.py
index 15a15ec9..46d66879 100644
--- a/tests/test_hf_datasets.py
+++ b/tests/test_hf_datasets.py
@@ -1,7 +1,8 @@
 import unittest
 
-from datasets import Dataset
-
+import datasets
+import pandas as pd
+import warnings
 
 class TestHuggingFaceDatasets(unittest.TestCase):
 
@@ -10,7 +11,13 @@ def some_func(batch):
             batch['label'] = 'foo'
             return batch
             
-        df = Dataset.from_dict({'text': ['Kaggle rocks!']})
+        df = datasets.Dataset.from_dict({'text': ['Kaggle rocks!']})
         mapped_df = df.map(some_func)
         
-        self.assertEqual('foo', mapped_df[0]['label'])
\ No newline at end of file
+        self.assertEqual('foo', mapped_df[0]['label'])
+        
+    def test_load_dataset(self):
+        warnings.simplefilter(action='ignore', category=FutureWarning)
+        dataset = datasets.load_dataset("csv", data_files="/input/tests/data/train.csv")
+        full_data = pd.DataFrame(dataset['train'])
+        self.assertFalse(full_data.empty)
\ No newline at end of file

From 79c3fd4ca44f233f84044fed2c17545227a115a5 Mon Sep 17 00:00:00 2001
From: Jonathan Calderon Chavez <chavezcalderon@google.com>
Date: Tue, 2 Apr 2024 17:39:51 +0000
Subject: [PATCH 1530/1660] add test pt2

---
 tests/test_hf_datasets.py | 2 --
 1 file changed, 2 deletions(-)

diff --git a/tests/test_hf_datasets.py b/tests/test_hf_datasets.py
index 46d66879..048462a6 100644
--- a/tests/test_hf_datasets.py
+++ b/tests/test_hf_datasets.py
@@ -2,7 +2,6 @@
 
 import datasets
 import pandas as pd
-import warnings
 
 class TestHuggingFaceDatasets(unittest.TestCase):
 
@@ -17,7 +16,6 @@ def some_func(batch):
         self.assertEqual('foo', mapped_df[0]['label'])
         
     def test_load_dataset(self):
-        warnings.simplefilter(action='ignore', category=FutureWarning)
         dataset = datasets.load_dataset("csv", data_files="/input/tests/data/train.csv")
         full_data = pd.DataFrame(dataset['train'])
         self.assertFalse(full_data.empty)
\ No newline at end of file

From 69ad60abb922a59d6688e61f6d51112d341dc28e Mon Sep 17 00:00:00 2001
From: Jonathan Calderon Chavez <chavezcalderon@google.com>
Date: Tue, 2 Apr 2024 20:54:13 +0000
Subject: [PATCH 1531/1660] package removal pt 2

---
 Dockerfile.tmpl            | 17 ++++-------------
 tests/test_levenshtein.py  |  9 ---------
 tests/test_rapidfuzz.py    | 13 -------------
 tests/test_user_secrets.py |  6 +++---
 4 files changed, 7 insertions(+), 38 deletions(-)
 delete mode 100644 tests/test_levenshtein.py
 delete mode 100644 tests/test_rapidfuzz.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 4f8a8c76..90381a07 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -191,7 +191,7 @@ RUN JAXVER=$(pip freeze | grep -e "^jax==") && \
         "matplotlib<3.8.0" \
         seaborn \
         python-dateutil dask dask-expr igraph \
-        pyyaml joblib husl geopy mne pyshp \
+        pyyaml joblib geopy mne pyshp \
         pandas \
         polars \
         flax \
@@ -242,7 +242,6 @@ RUN apt-get install -y libfreetype6-dev && \
         wordcloud \
         xgboost \
         pydot \
-        python-Levenshtein \
         hep_ml && \
     # NLTK Project datasets
     mkdir -p /usr/share/nltk_data && \
@@ -309,8 +308,6 @@ RUN pip install mpld3 \
         arrow \
         nilearn \
         nibabel \
-        pronouncing \
-        markovify \
         imgaug \
         preprocessing \
         path.py \
@@ -325,7 +322,6 @@ RUN pip install mpld3 \
         hyperopt \
         fitter \
         langid \
-         trueskill \
         # Useful data exploration libraries (for missing data and generating reports)
         missingno \
         pandas-profiling \
@@ -349,7 +345,6 @@ RUN pip install mpld3 \
         SimpleITK \
         hmmlearn \
         gplearn \
-        PyAstronomy \
         squarify \
         fuzzywuzzy \
         python-louvain \
@@ -379,19 +374,16 @@ RUN pip install mpld3 \
         kaggle \
         kagglehub \
         google-generativeai \
-        mock \
         pytest && \
     /tmp/clean-layer.sh
 
 RUN rm -rf /opt/conda/lib/python3.10/site-packages/numpy-1.23.5.dist-info*
-RUN pip install tensorpack && \
-    # Add google PAIR-code Facets
-    cd /opt/ && git clone https://github.com/PAIR-code/facets && cd facets/ && jupyter nbextension install facets-dist/ --user && \
+ # Add google PAIR-code Facets
+RUN cd /opt/ && git clone https://github.com/PAIR-code/facets && cd facets/ && jupyter nbextension install facets-dist/ --user && \
     export PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/ && \
     pip install kmodes --no-dependencies && \
     pip install librosa \
         polyglot \
-        mmh3 \
         sentencepiece \
         cufflinks \
         lime \
@@ -606,8 +598,7 @@ RUN apt-get install tesseract-ocr -y && \
     pip install pytesseract \
         wand \
         pdf2image \
-        PyPDF \
-        pyocr && \
+        PyPDF && \
     /tmp/clean-layer.sh
 ENV TESSERACT_PATH=/usr/bin/tesseract
 
diff --git a/tests/test_levenshtein.py b/tests/test_levenshtein.py
deleted file mode 100644
index 2ea45c98..00000000
--- a/tests/test_levenshtein.py
+++ /dev/null
@@ -1,9 +0,0 @@
-import unittest
-
-import Levenshtein
-
-class TestLevenshtein(unittest.TestCase):
-    def test_distance(self):
-        distance = Levenshtein.distance('Levenshtein', 'Lenvinsten')
-
-        self.assertEqual(4, distance)
\ No newline at end of file
diff --git a/tests/test_rapidfuzz.py b/tests/test_rapidfuzz.py
deleted file mode 100644
index e0cdf93a..00000000
--- a/tests/test_rapidfuzz.py
+++ /dev/null
@@ -1,13 +0,0 @@
-import unittest
-
-# needed for the Word Error Rate metric:
-# competitions/metrics/python/deployed_metrics/general_use_metrics/word_error_rate.py
-import rapidfuzz
-
-class TestRapidfuzz(unittest.TestCase):
-    def test_distance(self):
-        distance = rapidfuzz.distance.Levenshtein.distance(
-            'Levenshtein', 'Lenvinsten'
-        )
-
-        self.assertEqual(4, distance)
diff --git a/tests/test_user_secrets.py b/tests/test_user_secrets.py
index 9cb9c7c5..67c628f7 100644
--- a/tests/test_user_secrets.py
+++ b/tests/test_user_secrets.py
@@ -7,7 +7,7 @@
 from test.support.os_helper import EnvironmentVarGuard
 from urllib.parse import urlparse
 from datetime import datetime, timedelta
-import mock
+from unittest.mock import Mock, patch
 
 from google.auth.exceptions import DefaultCredentialsError
 from google.cloud import bigquery
@@ -182,11 +182,11 @@ def test_fn():
 
         self._test_client(test_fn, '/requests/GetUserSecretByLabelRequest', {'Label': "__gcloud_sdk_auth__"}, secret=secret)
 
-    @mock.patch('kaggle_secrets.datetime')
+    @patch('kaggle_secrets.datetime')
     def test_get_access_token_succeeds(self, mock_dt):
         secret = '12345'
         now = datetime(1993, 4, 24)
-        mock_dt.utcnow = mock.Mock(return_value=now)
+        mock_dt.utcnow = Mock(return_value=now)
 
         def call_get_bigquery_access_token():
             client = UserSecretsClient()

From 6718b8dc9c0492add3ea3f369dc3a75e2451ef2d Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 15 Apr 2024 15:41:28 -0400
Subject: [PATCH 1532/1660] TPU VM Jax 0.4.26

---
 tpu/config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tpu/config.txt b/tpu/config.txt
index 6d6bc722..e92bba50 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -5,7 +5,7 @@ PYTHON_VERSION_PATH=python3.10
 TENSORFLOW_VERSION=2.15.0
 TF_LIBTPU_VERSION=1.9.0
 TF_LINUX_WHEEL_VERSION=manylinux_2_17_x86_64.manylinux2014_x86_64
-JAX_VERSION=0.4.23
+JAX_VERSION=0.4.26
 # Supports nightly
 TORCH_VERSION=2.2.0
 # https://github.com/pytorch/audio supports nightly

From 170210f10a71a6ca10a7dbaffc01ebae39519cb9 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 15 Apr 2024 15:46:36 -0400
Subject: [PATCH 1533/1660] TPU VM add gsutil cmd for pytorch version support

---
 tpu/config.txt | 1 +
 1 file changed, 1 insertion(+)

diff --git a/tpu/config.txt b/tpu/config.txt
index e92bba50..fb5e0e58 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -6,6 +6,7 @@ TENSORFLOW_VERSION=2.15.0
 TF_LIBTPU_VERSION=1.9.0
 TF_LINUX_WHEEL_VERSION=manylinux_2_17_x86_64.manylinux2014_x86_64
 JAX_VERSION=0.4.26
+# gsutil ls gs://pytorch-xla-releases/wheels/tpuvm/* | grep libtpu | grep -v -E ".*rc[0-9].*"
 # Supports nightly
 TORCH_VERSION=2.2.0
 # https://github.com/pytorch/audio supports nightly

From e91af4d2316675999410eca13c289435aa79a7d6 Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Mon, 15 Apr 2024 17:42:53 -0700
Subject: [PATCH 1534/1660] Update TestGeoviews (#1383)

looks like Geoviews now requires loading a backend plotting extension

updated test to do this.

tested locally

cc: @jplotts
---
 Dockerfile.tmpl        | 3 ++-
 tests/test_geoviews.py | 3 ++-
 2 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 90381a07..b4e1759e 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -270,7 +270,8 @@ RUN apt-get install -y libfreetype6-dev && \
 RUN pip install opencv-contrib-python opencv-python && \
     /tmp/clean-layer.sh
 
-RUN pip install scipy \
+# Pin scipy until we update JAX b/335003097
+RUN pip install scipy==1.12.0 \
         # Scikit-learn accelerated library for x86
         scikit-learn-intelex>=2023.0.1 \
         # HDF5 support
diff --git a/tests/test_geoviews.py b/tests/test_geoviews.py
index 7b270a76..869fc0f1 100644
--- a/tests/test_geoviews.py
+++ b/tests/test_geoviews.py
@@ -1,11 +1,12 @@
 import unittest
 
 import geoviews.feature as gf
-
+import holoviews as hv
 from cartopy import crs
 
 class TestGeoviews(unittest.TestCase):
     def test_viz(self):
+        hv.extension('matplotlib')
         (gf.ocean + gf.land + gf.ocean * gf.land * gf.coastline * gf.borders).options(
             'Feature', projection=crs.Geostationary(), global_extent=True
         ).cols(3)

From 878dc6a23581e56ee4be0d6bf3c46d73ace5a7b7 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 16 Apr 2024 09:45:40 -0400
Subject: [PATCH 1535/1660] TPU VM tf2.16 (#1384)

http://b/334956594
---
 tpu/config.txt | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/tpu/config.txt b/tpu/config.txt
index fb5e0e58..1f21961c 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -1,9 +1,10 @@
 BASE_IMAGE=python:3.10
 PYTHON_WHEEL_VERSION=cp310
 PYTHON_VERSION_PATH=python3.10
+# gsutil ls gs://cloud-tpu-tpuvm-artifacts/tensorflow
 # https://cloud.google.com/tpu/docs/supported-tpu-configurations#libtpu_versions
-TENSORFLOW_VERSION=2.15.0
-TF_LIBTPU_VERSION=1.9.0
+TENSORFLOW_VERSION=2.16.1
+TF_LIBTPU_VERSION=1.10.1
 TF_LINUX_WHEEL_VERSION=manylinux_2_17_x86_64.manylinux2014_x86_64
 JAX_VERSION=0.4.26
 # gsutil ls gs://pytorch-xla-releases/wheels/tpuvm/* | grep libtpu | grep -v -E ".*rc[0-9].*"

From e3181fe438b2e7dfb7b4b32cb9be71acacc9462b Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 16 Apr 2024 12:57:23 -0400
Subject: [PATCH 1536/1660] Keras 3 w/ tf2.16 (#1385)

We should be able to install Keras 3 directly now that we have tf2.16.

http://b/318672157
http://b/334956594
---
 tpu/Dockerfile | 6 +-----
 1 file changed, 1 insertion(+), 5 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index b11bb59d..fe79260f 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -65,14 +65,10 @@ RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-ar
     papermill jupyterlab python-lsp-server[all] "jupyter-lsp==1.5.1" \
     pandas matplotlib opencv-python-headless librosa accelerate diffusers scikit-learn transformers \
     seaborn timm albumentations einops pyarrow fastparquet opencv-python \
+    "keras>3" keras-cv keras-nlp \
     kagglehub && \
     /tmp/clean-layer.sh
 
-# b/318672157 Install Keras 3 for loading models.
-# We ignore dependencies for now since tf2.15 should work despite pip saying it won't.
-RUN pip install --no-dependencies "keras>3" keras-cv keras-nlp && \
-    /tmp/clean-layer.sh
-
 # Tensorflow libtpu:
 RUN curl --output /lib/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/${TF_LIBTPU_VERSION}/libtpu.so
 

From 13696526c8d64126bbd1297e45ef18a667cf23a0 Mon Sep 17 00:00:00 2001
From: Jim Plotts <jplotts@google.com>
Date: Wed, 17 Apr 2024 19:32:16 +0000
Subject: [PATCH 1537/1660] Fix LSP by pinning jupyter_server. (#1381)

LSP was broken in the release on 2024-03-20 by an automatic upgrade of
jupyter_server from 2.12.5 to 2.13.0. Pinning this for now to resolve
that issue.

http://b/333854354
---
 Dockerfile.tmpl | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index b4e1759e..86098d5e 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -620,8 +620,8 @@ RUN pip install --upgrade dask && \
     mkdir -p /etc/ipython/ && echo "c = get_config(); c.IPKernelApp.matplotlib = 'inline'" > /etc/ipython/ipython_config.py && \
     # Temporary patch for broken libpixman 0.38 in conda-forge, symlink to system libpixman 0.34 untile conda package gets updated to 0.38.5 or higher.
     ln -sf /usr/lib/x86_64-linux-gnu/libpixman-1.so.0.34.0 /opt/conda/lib/libpixman-1.so.0.38.0 && \
-    # upgrade jupyter-server to version > 2.x
-    pip install --force-reinstall --no-deps jupyter_server>=2.* && \
+    # pin jupyter-server to version 2.12.5; later versions break LSP (b/333854354)
+    pip install --force-reinstall --no-deps jupyter_server==2.12.5 && \
     /tmp/clean-layer.sh
 
 # Fix to import bq_helper library without downgrading setuptools

From 3d5ba6618957be3ba7c29959ba0e53e50fab560a Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 22 Apr 2024 10:25:49 -0400
Subject: [PATCH 1538/1660] Revert "Keras 3 w/ tf2.16" (#1387)

Reverts Kaggle/docker-python#1385
Reverts #1384

tf/libtpu combo is crashing, will have to wait to upgrade
---
 tpu/Dockerfile | 6 +++++-
 tpu/config.txt | 4 ++--
 2 files changed, 7 insertions(+), 3 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index fe79260f..b11bb59d 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -65,10 +65,14 @@ RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-ar
     papermill jupyterlab python-lsp-server[all] "jupyter-lsp==1.5.1" \
     pandas matplotlib opencv-python-headless librosa accelerate diffusers scikit-learn transformers \
     seaborn timm albumentations einops pyarrow fastparquet opencv-python \
-    "keras>3" keras-cv keras-nlp \
     kagglehub && \
     /tmp/clean-layer.sh
 
+# b/318672157 Install Keras 3 for loading models.
+# We ignore dependencies for now since tf2.15 should work despite pip saying it won't.
+RUN pip install --no-dependencies "keras>3" keras-cv keras-nlp && \
+    /tmp/clean-layer.sh
+
 # Tensorflow libtpu:
 RUN curl --output /lib/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/${TF_LIBTPU_VERSION}/libtpu.so
 
diff --git a/tpu/config.txt b/tpu/config.txt
index 1f21961c..c893518f 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -3,8 +3,8 @@ PYTHON_WHEEL_VERSION=cp310
 PYTHON_VERSION_PATH=python3.10
 # gsutil ls gs://cloud-tpu-tpuvm-artifacts/tensorflow
 # https://cloud.google.com/tpu/docs/supported-tpu-configurations#libtpu_versions
-TENSORFLOW_VERSION=2.16.1
-TF_LIBTPU_VERSION=1.10.1
+TENSORFLOW_VERSION=2.15.0
+TF_LIBTPU_VERSION=1.9.0
 TF_LINUX_WHEEL_VERSION=manylinux_2_17_x86_64.manylinux2014_x86_64
 JAX_VERSION=0.4.26
 # gsutil ls gs://pytorch-xla-releases/wheels/tpuvm/* | grep libtpu | grep -v -E ".*rc[0-9].*"

From 7c11afd23b0e44f597e7659449cac4e881c6c793 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 24 Apr 2024 16:12:23 -0400
Subject: [PATCH 1539/1660] Revert JAX TPU VM to 0.4.23

Latest version seems to fail our tests
---
 tpu/config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tpu/config.txt b/tpu/config.txt
index c893518f..0ac9d635 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -6,7 +6,7 @@ PYTHON_VERSION_PATH=python3.10
 TENSORFLOW_VERSION=2.15.0
 TF_LIBTPU_VERSION=1.9.0
 TF_LINUX_WHEEL_VERSION=manylinux_2_17_x86_64.manylinux2014_x86_64
-JAX_VERSION=0.4.26
+JAX_VERSION=0.4.23
 # gsutil ls gs://pytorch-xla-releases/wheels/tpuvm/* | grep libtpu | grep -v -E ".*rc[0-9].*"
 # Supports nightly
 TORCH_VERSION=2.2.0

From 4c0553060da43b05a8cc4bcb60d69e68ea8bfe73 Mon Sep 17 00:00:00 2001
From: Siyuan Liu <lsiyuan@google.com>
Date: Wed, 24 Apr 2024 17:25:30 -0700
Subject: [PATCH 1540/1660] Bump PyTorch version to 2.3 (#1389)

Also bump ecosystem packages (torchtext, torchvision, torchaudio) to
latest versions

cc @will-cromar
---
 tpu/config.txt | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/tpu/config.txt b/tpu/config.txt
index 0ac9d635..49f81cf1 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -9,11 +9,11 @@ TF_LINUX_WHEEL_VERSION=manylinux_2_17_x86_64.manylinux2014_x86_64
 JAX_VERSION=0.4.23
 # gsutil ls gs://pytorch-xla-releases/wheels/tpuvm/* | grep libtpu | grep -v -E ".*rc[0-9].*"
 # Supports nightly
-TORCH_VERSION=2.2.0
+TORCH_VERSION=2.3.0
 # https://github.com/pytorch/audio supports nightly
-TORCHAUDIO_VERSION=2.2.1
+TORCHAUDIO_VERSION=2.3.0
 # https://github.com/pytorch/text supports main
-TORCHTEXT_VERSION=0.17.1
+TORCHTEXT_VERSION=0.18.0
 # https://github.com/pytorch/vision supports nightly
-TORCHVISION_VERSION=0.17.1
+TORCHVISION_VERSION=0.18.0
 TORCH_LINUX_WHEEL_VERSION=manylinux_2_28_x86_64

From 61bd30952c2d81c320b7e03bbf3b118dbf38ce1b Mon Sep 17 00:00:00 2001
From: Dustin H <djherbis@gmail.com>
Date: Wed, 24 Apr 2024 20:41:54 -0400
Subject: [PATCH 1541/1660] Increase torch build timeout to 5h

---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 79c68005..f66e8867 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -25,7 +25,7 @@ pipeline {
       parallel {
         stage('torch') {
           options {
-            timeout(time: 180, unit: 'MINUTES')
+            timeout(time: 300, unit: 'MINUTES')
           }
           steps {
             sh '''#!/bin/bash

From abc385c5dfea360a173af58d40d299ea11868402 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Thu, 25 Apr 2024 13:59:01 -0400
Subject: [PATCH 1542/1660] Trying Keras 3 w/ tf2.16 again (#1390)

It looks like it was actually the JAX version bump that was breaking
things, so trying the TF & Keras bump.
---
 tpu/Dockerfile | 8 ++------
 tpu/config.txt | 4 ++--
 2 files changed, 4 insertions(+), 8 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index b11bb59d..ed9040a8 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -65,16 +65,12 @@ RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-ar
     papermill jupyterlab python-lsp-server[all] "jupyter-lsp==1.5.1" \
     pandas matplotlib opencv-python-headless librosa accelerate diffusers scikit-learn transformers \
     seaborn timm albumentations einops pyarrow fastparquet opencv-python \
+    "keras>3" keras-cv keras-nlp \
     kagglehub && \
     /tmp/clean-layer.sh
 
-# b/318672157 Install Keras 3 for loading models.
-# We ignore dependencies for now since tf2.15 should work despite pip saying it won't.
-RUN pip install --no-dependencies "keras>3" keras-cv keras-nlp && \
-    /tmp/clean-layer.sh
-
 # Tensorflow libtpu:
-RUN curl --output /lib/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/${TF_LIBTPU_VERSION}/libtpu.so
+RUN curl --output /usr/local/lib/python3.10/site-packages/libtpu/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/${TF_LIBTPU_VERSION}/libtpu.so
 
 # Kaggle Model Hub patches:
 ADD patches/kaggle_module_resolver.py /usr/local/lib/${PYTHON_VERSION_PATH}/site-packages/tensorflow_hub/kaggle_module_resolver.py
diff --git a/tpu/config.txt b/tpu/config.txt
index 49f81cf1..b495597c 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -3,8 +3,8 @@ PYTHON_WHEEL_VERSION=cp310
 PYTHON_VERSION_PATH=python3.10
 # gsutil ls gs://cloud-tpu-tpuvm-artifacts/tensorflow
 # https://cloud.google.com/tpu/docs/supported-tpu-configurations#libtpu_versions
-TENSORFLOW_VERSION=2.15.0
-TF_LIBTPU_VERSION=1.9.0
+TENSORFLOW_VERSION=2.16.1
+TF_LIBTPU_VERSION=1.10.1
 TF_LINUX_WHEEL_VERSION=manylinux_2_17_x86_64.manylinux2014_x86_64
 JAX_VERSION=0.4.23
 # gsutil ls gs://pytorch-xla-releases/wheels/tpuvm/* | grep libtpu | grep -v -E ".*rc[0-9].*"

From 60328f83bc085aaa97cbb8a468d4457f74f05468 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Fri, 26 Apr 2024 09:51:00 -0400
Subject: [PATCH 1543/1660] Stop auto-promoting TPU image to staging tag
 (#1391)

There are no tests for the TPU image so promoting from :ci-pretest to
:staging incorrectly makes it sound like the image is ready for the next
stage of tests. Instead we'll leave it at :ci-pretest and have a
separate process test and promote them.

http://b/336842777
---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index f66e8867..03388c27 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -238,7 +238,7 @@ pipeline {
 
           gcloud container images add-tag gcr.io/kaggle-images/python:${PRETEST_TAG} gcr.io/kaggle-images/python:${STAGING_TAG}
           gcloud container images add-tag gcr.io/kaggle-private-byod/python:${PRETEST_TAG} gcr.io/kaggle-private-byod/python:${STAGING_TAG}
-          gcloud container images add-tag gcr.io/kaggle-private-byod/python-tpuvm:${PRETEST_TAG} gcr.io/kaggle-private-byod/python-tpuvm:${STAGING_TAG}
+          // NOTE(b/336842777): TPUVM images are tested on an actual TPU VM outside this pipeline, so they are not auto-promoted to :staging tag.
         '''
       }
     }

From f8047d106f2b3c720f0497a9bb5f5cfca96380d9 Mon Sep 17 00:00:00 2001
From: Hieu Lam <lamhieu.vk@gmail.com>
Date: Fri, 3 May 2024 21:08:36 +0700
Subject: [PATCH 1544/1660] Upgrade `torch` to `2.2.1` to resolve some issues
 (#1388)

Related issues were discussed:
https://github.com/huggingface/transformers/issues/28731,
https://github.com/Lightning-AI/litgpt/issues/327.

The solution used was to upgrade the `torch` version to `2.2.1` which is
referenced
[comment](https://github.com/huggingface/transformers/issues/28731#issuecomment-1918690108),
and [colab release
note](https://colab.research.google.com/notebooks/relnotes.ipynb#scrollTo=59f6f87f).

For example, some notebooks encountered the above problem and had to
temporarily fix the error with the following code:

```python
import torch
torch.backends.cuda.enable_mem_efficient_sdp(False)
torch.backends.cuda.enable_flash_sdp(False)
```

- [Ghost 7B Alpha - Playground using Transformers,
en](https://www.kaggle.com/code/lamhieu/ghost-7b-alpha-playground-using-transformers-en)
- [Ghost 7B Alpha - Playground using Transformers,
vi](https://www.kaggle.com/code/lamhieu/ghost-7b-alpha-playground-using-transformers-vi)

---------

Co-authored-by: Dustin H <djherbis@gmail.com>
---
 config.txt | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/config.txt b/config.txt
index 0a0a98fd..9bef3a48 100644
--- a/config.txt
+++ b/config.txt
@@ -3,10 +3,10 @@ BASE_IMAGE_TAG=m114
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-15.py310
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-15.py310
 LIGHTGBM_VERSION=4.2.0
-TORCH_VERSION=2.1.2
-TORCHAUDIO_VERSION=2.1.2
-TORCHTEXT_VERSION=0.16.2
-TORCHVISION_VERSION=0.16.2
+TORCH_VERSION=2.2.1
+TORCHAUDIO_VERSION=2.2.1
+TORCHTEXT_VERSION=0.17.1
+TORCHVISION_VERSION=0.17.1
 JAX_VERSION=0.4.23
 CUDA_MAJOR_VERSION=12
 CUDA_MINOR_VERSION=1

From 81a408971ede47316f4dd30bd2659e6c28365cd7 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Fri, 3 May 2024 10:44:06 -0400
Subject: [PATCH 1545/1660] Upgrade JAX to 0.4.26

http://b/338581280
---
 config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/config.txt b/config.txt
index 9bef3a48..b73157d3 100644
--- a/config.txt
+++ b/config.txt
@@ -7,6 +7,6 @@ TORCH_VERSION=2.2.1
 TORCHAUDIO_VERSION=2.2.1
 TORCHTEXT_VERSION=0.17.1
 TORCHVISION_VERSION=0.17.1
-JAX_VERSION=0.4.23
+JAX_VERSION=0.4.26
 CUDA_MAJOR_VERSION=12
 CUDA_MINOR_VERSION=1

From 20df467455ca8eb0883af1339396330b81a05638 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Fri, 3 May 2024 15:00:37 -0400
Subject: [PATCH 1546/1660] jaxlib timeout 1hr to 3hr

Its failing to finish in time on the newest version of JAX
---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 03388c27..1dcff165 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -64,7 +64,7 @@ pipeline {
         }
         stage('jaxlib') {
           options {
-            timeout(time: 60, unit: 'MINUTES')
+            timeout(time: 180, unit: 'MINUTES')
           }
           steps {
             sh '''#!/bin/bash

From adf40a5b2b9e24d267c6c0c172446856a87abfde Mon Sep 17 00:00:00 2001
From: Dustin H <djherbis@gmail.com>
Date: Fri, 3 May 2024 18:39:19 -0400
Subject: [PATCH 1547/1660] jaxlib 3h to 5h timeout

---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 1dcff165..36a75086 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -64,7 +64,7 @@ pipeline {
         }
         stage('jaxlib') {
           options {
-            timeout(time: 180, unit: 'MINUTES')
+            timeout(time: 300, unit: 'MINUTES')
           }
           steps {
             sh '''#!/bin/bash

From 7d473b45445dab26d580d1b3c33801cbc8cca83e Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 13 May 2024 11:13:42 -0400
Subject: [PATCH 1548/1660] Update pytorch to 2.3.0

http://b/337048719
---
 config.txt | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/config.txt b/config.txt
index b73157d3..6d3af356 100644
--- a/config.txt
+++ b/config.txt
@@ -3,10 +3,10 @@ BASE_IMAGE_TAG=m114
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-15.py310
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-15.py310
 LIGHTGBM_VERSION=4.2.0
-TORCH_VERSION=2.2.1
-TORCHAUDIO_VERSION=2.2.1
-TORCHTEXT_VERSION=0.17.1
-TORCHVISION_VERSION=0.17.1
+TORCH_VERSION=2.3.0
+TORCHAUDIO_VERSION=2.3.0
+TORCHTEXT_VERSION=0.18.0
+TORCHVISION_VERSION=0.18.0
 JAX_VERSION=0.4.26
 CUDA_MAJOR_VERSION=12
 CUDA_MINOR_VERSION=1

From edbc5d613b6476bace81c530e172a92f5c46268b Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 16 May 2024 06:53:24 -0700
Subject: [PATCH 1549/1660] Do not delete old unversioned images in Jenkins
 (#1393)

Use new Artifact Registry cleanup policies feature instead.

http://b/321030221
---
 Jenkinsfile | 11 -----------
 1 file changed, 11 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 36a75086..722885ae 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -242,17 +242,6 @@ pipeline {
         '''
       }
     }
-
-    stage('Delete Old Unversioned Images') {
-      steps {
-        sh '''#!/bin/bash
-          set -exo pipefail
-          gcloud container images list-tags gcr.io/kaggle-images/python --filter="NOT tags:v* AND timestamp.datetime < -P6M" --format='get(digest)' --limit 100 | xargs -I {} gcloud container images delete gcr.io/kaggle-images/python@{} --quiet --force-delete-tags
-          # b/321030221#comment8 Disable deletion of old images from gcr.io/kaggle-private-byod/python. GCR seems to have an issue with this repo and the creation date. See bug.
-          # gcloud container images list-tags gcr.io/kaggle-private-byod/python --filter="NOT tags:v* AND timestamp.datetime < -P6M" --format='get(digest)' --limit 100 | xargs -I {} gcloud container images delete gcr.io/kaggle-private-byod/python@{} --quiet --force-delete-tags
-        '''
-      }
-    }
   }
 
   post {

From 67b4c134b7be8a849e5f08485a0b3e134e935771 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Thu, 16 May 2024 11:01:03 -0400
Subject: [PATCH 1550/1660] Falling torch back to 2.1.2

pytorch is failing to build from source past this build because of open-telemetry changes, we will have to wait for the next patch (June 2024) to upgrade.
---
 config.txt | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/config.txt b/config.txt
index 6d3af356..6afee191 100644
--- a/config.txt
+++ b/config.txt
@@ -3,10 +3,10 @@ BASE_IMAGE_TAG=m114
 CPU_BASE_IMAGE_NAME=tf2-cpu.2-15.py310
 GPU_BASE_IMAGE_NAME=tf2-gpu.2-15.py310
 LIGHTGBM_VERSION=4.2.0
-TORCH_VERSION=2.3.0
-TORCHAUDIO_VERSION=2.3.0
-TORCHTEXT_VERSION=0.18.0
-TORCHVISION_VERSION=0.18.0
+TORCH_VERSION=2.1.2
+TORCHAUDIO_VERSION=2.1.2
+TORCHTEXT_VERSION=0.16.2
+TORCHVISION_VERSION=0.16.2
 JAX_VERSION=0.4.26
 CUDA_MAJOR_VERSION=12
 CUDA_MINOR_VERSION=1

From d295f5060edd40823df0acca7ed344137808d88e Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 20 May 2024 09:58:50 -0400
Subject: [PATCH 1551/1660] Fix comment in Jenkinsfile

---
 Jenkinsfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 722885ae..5137c675 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -238,7 +238,7 @@ pipeline {
 
           gcloud container images add-tag gcr.io/kaggle-images/python:${PRETEST_TAG} gcr.io/kaggle-images/python:${STAGING_TAG}
           gcloud container images add-tag gcr.io/kaggle-private-byod/python:${PRETEST_TAG} gcr.io/kaggle-private-byod/python:${STAGING_TAG}
-          // NOTE(b/336842777): TPUVM images are tested on an actual TPU VM outside this pipeline, so they are not auto-promoted to :staging tag.
+          # NOTE(b/336842777): TPUVM images are tested on an actual TPU VM outside this pipeline, so they are not auto-promoted to :staging tag.
         '''
       }
     }

From 873dbab36f2785c109641e442ce5221bc8d93a4d Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Mon, 20 May 2024 06:59:07 -0700
Subject: [PATCH 1552/1660] Pin keras nlp (#1394)

looks like newer version of keras-nlp (>0.9.3) starts requesting
"task.json" files when downloading models from kaggle-hub, which we
don't provide afaik: https://screenshot.googleplex.com/BQpNeHjdS6yPnrm

which causes the docker keras-nlp test to fail (added logs):
https://paste.googleplex.com/4613448323563520

let's pin to unblock pipeline, reachout to models/kaggle hub poc about
issue

https://b.corp.google.com/issues/341360061
---
 Dockerfile.tmpl | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 86098d5e..2db698d6 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -229,7 +229,8 @@ ADD patches/keras_internal_test.py /opt/conda/lib/python3.10/site-packages/tenso
 # Remove "--no-deps" flag and "namex" package once Keras 3.* is included in our base image.
 # We ignore dependencies since tf2.15 and Keras 3.* should work despite pip saying it won't.
 # Currently, keras tries to install a nightly version of tf 2.16: https://github.com/keras-team/keras/blob/fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd/requirements.txt#L2
-RUN pip install --no-deps "keras>3" keras-cv keras-nlp namex && \
+# b/341360061 Unpin keras-nlp once kaggle-hub is able to provide task.json file when requested
+RUN pip install --no-deps "keras>3" keras-cv "keras-nlp==0.9.3" namex && \
     /tmp/clean-layer.sh
 
 # b/328788268 libpysal 4.10 seems to fail with "module 'shapely' has no attribute 'Geometry'. Did you mean: 'geometry'"

From 34e9a4a2584b9e141bf1d3ff1f667d8cffc66948 Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Fri, 24 May 2024 15:18:50 -0700
Subject: [PATCH 1553/1660] Upgrade cuML and cuDF (#1395)

upgrade RAPIDS to 24.4.x (cuML and cuDF).

- looks like installing via mamba was not working, installed using conda
with mamba package solver (which is faster than plan conda).
- Added test for cuML and cuDF, these packages were reported as "broken"
for last the 6 months.
- Skip certain test if running on a p100 gpu

Going forward, rapids will not be compatible with p100 GPUs, that's a
problem for another day
https://chat.kaggle.net/kaggle/pl/85tczsc4w3nhijkd1ftryxr7yo
b/296444923
b/341938540
---
 Dockerfile.tmpl          | 18 ++++++------------
 tests/common.py          | 10 ++++++++++
 tests/test_cudf.py       | 20 ++++++++++++++++++++
 tests/test_cuml.py       | 19 +++++++++++++++++++
 tests/test_datashader.py | 14 +++++++++-----
 tests/test_geoviews.py   | 11 ++++++++---
 6 files changed, 72 insertions(+), 20 deletions(-)
 create mode 100644 tests/test_cudf.py
 create mode 100644 tests/test_cuml.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 2db698d6..240de659 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -99,6 +99,7 @@ ENV PROJ_LIB=/opt/conda/share/proj
 # the remaining pip commands: https://www.anaconda.com/using-pip-in-a-conda-environment/
 RUN conda config --add channels nvidia && \
     conda config --add channels rapidsai && \
+    conda config --set solver libmamba && \
     # b/299991198 remove curl/libcurl install once DLVM base image includes version >= 7.86
     conda install -c conda-forge mamba curl libcurl && \
     # Base image channel order: conda-forge (highest priority), defaults.
@@ -107,24 +108,17 @@ RUN conda config --add channels nvidia && \
     /tmp/clean-layer.sh
 
 # Install spacy
+# b/232247930: uninstall pyarrow to avoid double installation with the GPU specific version.
+# b/341938540: unistall grpc-cpp to allow >=v24.4 cudf and cuml to be installed.
 {{ if eq .Accelerator "gpu" }}
-RUN mamba install -y -c conda-forge spacy cupy cuda-version=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION && \
+RUN pip uninstall -y pyarrow && \
+    mamba remove -y --force grpc-cpp && \
+    mamba install -y -c conda-forge spacy cudf>=24.4 cuml>=24.4 cupy cuda-version=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION && \
     /tmp/clean-layer.sh
 {{ else }}
 RUN pip install spacy && \
     /tmp/clean-layer.sh
 {{ end}}
-{{ if eq .Accelerator "gpu" }}
-
-# b/232247930: uninstall pyarrow to avoid double installation with the GPU specific version.
-RUN pip uninstall -y pyarrow && \
-    mamba install -y cudf cuml && \
-    /tmp/clean-layer.sh
-
-# TODO: b/296444923 - Resolve pandas dependency another way
-RUN sed -i 's/^is_extension_type/# is_extension_type/g' /opt/conda/lib/python3.10/site-packages/cudf/api/types.py \
-    && sed -i 's/^is_categorical/# is_categorical/g' /opt/conda/lib/python3.10/site-packages/cudf/api/types.py
-{{ end }}
 
 # Install PyTorch
 {{ if eq .Accelerator "gpu" }}
diff --git a/tests/common.py b/tests/common.py
index e53e6a7c..30a7bb0f 100644
--- a/tests/common.py
+++ b/tests/common.py
@@ -2,6 +2,16 @@
 
 import os
 import unittest
+import subprocess
+
+def getAcceleratorName():
+    try:
+        deviceName = subprocess.check_output(['nvidia-smi', '--query-gpu=name', '--format=csv,noheader'])
+        return deviceName.decode('utf-8').strip()
+    except FileNotFoundError:
+        return("nvidia-smi not found.")
 
 gpu_test = unittest.skipIf(len(os.environ.get('CUDA_VERSION', '')) == 0, 'Not running GPU tests')
+# b/342143152 P100s are slowly being unsupported in new release of popular ml tools such as RAPIDS. 
+p100_exempt = unittest.skipIf(getAcceleratorName() == "Tesla P100-PCIE-16GB", 'Not running p100 exempt tests')
 tpu_test = unittest.skipIf(len(os.environ.get('ISTPUVM', '')) == 0, 'Not running TPU tests')
diff --git a/tests/test_cudf.py b/tests/test_cudf.py
new file mode 100644
index 00000000..cae69a6c
--- /dev/null
+++ b/tests/test_cudf.py
@@ -0,0 +1,20 @@
+import unittest
+
+from common import gpu_test, p100_exempt
+
+
+class TestCudf(unittest.TestCase):
+    @gpu_test
+    @p100_exempt # b/342143152: cuDL(>=24.4v) is inompatible with p100 GPUs.
+    def test_cudf_dataframe_operations(self):
+        import cudf
+
+        data = {'col1': [1, 2, 3], 'col2': [4, 5, 6]}
+        gdf = cudf.DataFrame({'col1': [1, 2, 3], 'col2': [4, 5, 6]})
+
+        gdf['col3'] = gdf['col1'] + gdf['col2']
+
+        expected_col3 = cudf.Series([5, 7, 9])
+        self.assertEqual(gdf.shape, (3, 3))
+        self.assertEqual(list(gdf.columns), ['col1', 'col2', 'col3'])
+        self.assertTrue(gdf['col3'].equals(expected_col3))
diff --git a/tests/test_cuml.py b/tests/test_cuml.py
new file mode 100644
index 00000000..bbb7f0c6
--- /dev/null
+++ b/tests/test_cuml.py
@@ -0,0 +1,19 @@
+import unittest
+
+from common import gpu_test, p100_exempt
+
+
+class TestCuml(unittest.TestCase):
+    @gpu_test
+    @p100_exempt # b/342143152: cuML(>=24.4v) is inompatible with p100 GPUs.
+    def test_pca_fit_transform(self):
+        import unittest
+        import numpy as np
+        from cuml.decomposition import PCA
+
+        x = np.array([[1.0, 2.0], [2.0, 4.0], [3.0, 6.0], [-1.0, -2.0], [-2.0, -4.0]])  
+        pca = PCA(n_components=1)
+
+        x_transformed = pca.fit_transform(x)
+
+        self.assertEqual(x_transformed.shape, (5, 1))
diff --git a/tests/test_datashader.py b/tests/test_datashader.py
index c8ff9295..ad3afe15 100644
--- a/tests/test_datashader.py
+++ b/tests/test_datashader.py
@@ -1,13 +1,17 @@
 import unittest
 
-import numpy as np
-import pandas as pd
-import datashader as ds
-import datashader.transfer_functions as tf
+from common import p100_exempt
 
 class TestDatashader(unittest.TestCase):
-    # based on https://github.com/pyviz/datashader/blob/master/datashader/tests/test_pipeline.py
+
+    @p100_exempt # b/342143152: Uses cuDF(>=24.4v), which is no longer capitble with p100 GPUs.
     def test_pipeline(self):
+        # based on https://github.com/pyviz/datashader/blob/master/datashader/tests/test_pipeline.py
+        import numpy as np
+        import pandas as pd
+        import datashader as ds
+        import datashader.transfer_functions as tf
+
         df = pd.DataFrame({
             'x': np.array(([0.] * 10 + [1] * 10)),
             'y': np.array(([0.] * 5 + [1] * 5 + [0] * 5 + [1] * 5)),
diff --git a/tests/test_geoviews.py b/tests/test_geoviews.py
index 869fc0f1..2636cc6f 100644
--- a/tests/test_geoviews.py
+++ b/tests/test_geoviews.py
@@ -1,11 +1,16 @@
 import unittest
 
-import geoviews.feature as gf
-import holoviews as hv
-from cartopy import crs
+from common import p100_exempt
 
 class TestGeoviews(unittest.TestCase):
+
+    @p100_exempt # b/342143152: Uses cuDF(>=24.4v), which is no longer capitble with p100 GPUs.
+
     def test_viz(self):
+        import geoviews.feature as gf
+        import holoviews as hv
+        from cartopy import crs
+
         hv.extension('matplotlib')
         (gf.ocean + gf.land + gf.ocean * gf.land * gf.coastline * gf.borders).options(
             'Feature', projection=crs.Geostationary(), global_extent=True

From 44fa98f1d558abefe47164bcaaedf8bd09586239 Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Tue, 28 May 2024 13:56:18 -0700
Subject: [PATCH 1554/1660] Update Kagglehub mock and unpin keras-nlp (#1401)

wrongly pinned keras-nlp, let's unpinned it. update mock to support
optional files.

https://b.corp.google.com/issues/341982731
---
 Dockerfile.tmpl          |  2 +-
 tests/utils/kagglehub.py | 12 +++++-------
 2 files changed, 6 insertions(+), 8 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 240de659..275750c4 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -224,7 +224,7 @@ ADD patches/keras_internal_test.py /opt/conda/lib/python3.10/site-packages/tenso
 # We ignore dependencies since tf2.15 and Keras 3.* should work despite pip saying it won't.
 # Currently, keras tries to install a nightly version of tf 2.16: https://github.com/keras-team/keras/blob/fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd/requirements.txt#L2
 # b/341360061 Unpin keras-nlp once kaggle-hub is able to provide task.json file when requested
-RUN pip install --no-deps "keras>3" keras-cv "keras-nlp==0.9.3" namex && \
+RUN pip install --no-deps "keras>3" keras-cv keras-nlp namex && \
     /tmp/clean-layer.sh
 
 # b/328788268 libpysal 4.10 seems to fail with "module 'shapely' has no attribute 'Geometry'. Did you mean: 'geometry'"
diff --git a/tests/utils/kagglehub.py b/tests/utils/kagglehub.py
index bfe7b417..d7819dde 100644
--- a/tests/utils/kagglehub.py
+++ b/tests/utils/kagglehub.py
@@ -26,14 +26,12 @@ def do_GET(self):
         path = m.group(2)
         filepath = f"/input/tests/data/kagglehub/models/{model_handle}/{path}"
         if not os.path.isfile(filepath):
-            raise ValueError((
-                "Internet is disabled in our tests\n"
-                "kagglehub uses a fake API server\n"
-                f"Use `kagglehub.model_download('{model_handle}', path='{path}')` to download the missing file\n"
-                f"and copy it to `./docker-python/tests/data/kagglehub/models/{model_handle}/{path}`\n"
-            ))
+            self.send_error(404, "Internet is disabled in our tests "
+                "kagglehub uses a fake API server. "
+                f"Use `kagglehub.model_download('{model_handle}', path='{path}')` to download the missing file "
+                f"and copy it to `./docker-python/tests/data/kagglehub/models/{model_handle}/{path}`.")
             return
-        
+
         with open(filepath, "rb") as f:
             self.send_response(200)
             self.send_header("Content-type", "application/octet-stream")

From 6e3ce694ffdc85c7bea3b32591420f6280bb30ac Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Thu, 30 May 2024 10:47:56 -0700
Subject: [PATCH 1555/1660] Remove "Rubbish" files in Root dir (#1402)

Seems like we get files containing pip output, unlikely that these are
important. adding " " removes the file, which is convention syntax.

before:
https://screenshot.googleplex.com/9iVBh5Mtprsc95u

after:
https://screenshot.googleplex.com/C6Kzxj8d8PqpCCS

fixes
https://github.com/Kaggle/docker-python/issues/1249
---
 Dockerfile.tmpl | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 275750c4..3489e7c3 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -266,9 +266,9 @@ RUN pip install opencv-contrib-python opencv-python && \
     /tmp/clean-layer.sh
 
 # Pin scipy until we update JAX b/335003097
-RUN pip install scipy==1.12.0 \
+RUN pip install "scipy==1.12.0" \
         # Scikit-learn accelerated library for x86
-        scikit-learn-intelex>=2023.0.1 \
+        "scikit-learn-intelex>=2023.0.1" \
         # HDF5 support
         h5py \
         # PUDB, for local debugging convenience

From c493f6f4bae6881bf1665547702e9eddef42107c Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Mon, 3 Jun 2024 09:33:53 -0700
Subject: [PATCH 1556/1660] Remove duplicate aiohttp (#1404)

We seem to be downloading multiple aiohttp version, we which is causing
pip error out when installing some packages. we will remove and install
again.

added small refactor

proof of concept:

https://screencast.googleplex.com/cast/NDkzOTIxMTcwNTY3OTg3Mnw2Zjc5MjBkYy0wYg
---
 Dockerfile.tmpl | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 3489e7c3..2b4cd33d 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -424,10 +424,7 @@ RUN pip install annoy \
 
 # b/273059949 The pre-installed nbconvert is slow on html conversions and has to be force-uninstalled.
 # b/274619697 learntools also requires a specific nbconvert right now
-RUN rm -rf /opt/conda/lib/python3.10/site-packages/nbconvert*
-RUN rm -rf /opt/conda/lib/python3.10/site-packages/nbclient*
-RUN rm -rf /opt/conda/lib/python3.10/site-packages/mistune*
-RUN rm -rf /opt/conda/lib/python3.10/site-packages/platformdirs*
+RUN rm -rf /opt/conda/lib/python3.10/site-packages/{nbconvert,nbclient,mistune,platformdirs}*
 
 # Fix qgrid by pinning ipywidgets https://github.com/quantopian/qgrid/issues/376
 #        allennlp \
@@ -573,6 +570,9 @@ RUN pip install pytorch-ignite \
         timm \
         torchinfo && \
         pip install git+https://github.com/facebookresearch/segment-anything.git && \
+    # b/343971718: remove duplicate aiohttp installs, and reinstall it
+    rm -rf /opt/conda/lib/python3.10/site-packages/aiohttp* && \
+    mamba install --force-reinstall -y aiohttp && \
     /tmp/clean-layer.sh
 
 # Download base easyocr models.

From e0587aa44d7d44591407983548d274de731e64cf Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 10 Jun 2024 09:23:28 -0700
Subject: [PATCH 1557/1660] Remove stale comment about keras-nlp pin (#1407)

@calderjo fixed this in #1401
---
 Dockerfile.tmpl | 1 -
 1 file changed, 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 2b4cd33d..3d892f8a 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -223,7 +223,6 @@ ADD patches/keras_internal_test.py /opt/conda/lib/python3.10/site-packages/tenso
 # Remove "--no-deps" flag and "namex" package once Keras 3.* is included in our base image.
 # We ignore dependencies since tf2.15 and Keras 3.* should work despite pip saying it won't.
 # Currently, keras tries to install a nightly version of tf 2.16: https://github.com/keras-team/keras/blob/fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd/requirements.txt#L2
-# b/341360061 Unpin keras-nlp once kaggle-hub is able to provide task.json file when requested
 RUN pip install --no-deps "keras>3" keras-cv keras-nlp namex && \
     /tmp/clean-layer.sh
 

From 0ce0e7a928d098b7aeaf39ffed425771c11f7b1d Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Mon, 1 Jul 2024 19:10:56 -0700
Subject: [PATCH 1558/1660] Move graphviz install around (#1410)

Yeah graphviz where's it at doesn't want to be installed. But moving it
around helps get it installed
---
 Dockerfile.tmpl       | 5 +++--
 tests/test_xgboost.py | 2 +-
 2 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 3d892f8a..f79a7e1e 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -89,6 +89,7 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     apt-get install -y build-essential unzip cmake libboost-dev libboost-system-dev libboost-filesystem-dev p7zip-full && \
     # b/182601974: ssh client was removed from the base image but is required for packages such as stable-baselines.
     apt-get install -y openssh-client && \
+    apt-get install -y graphviz && pip install graphviz && \
     /tmp/clean-layer.sh
 
 # b/128333086: Set PROJ_LIB to points to the proj4 cartographic library.
@@ -229,12 +230,13 @@ RUN pip install --no-deps "keras>3" keras-cv keras-nlp namex && \
 # b/328788268 libpysal 4.10 seems to fail with "module 'shapely' has no attribute 'Geometry'. Did you mean: 'geometry'"
 RUN pip install pysal "libpysal==4.9.2"
 
+# b/350573866 xgboost v2.1.0 breaks learntools
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
     pip install gensim \
         textblob \
         wordcloud \
-        xgboost \
+        "xgboost==2.0.3" \
         pydot \
         hep_ml && \
     # NLTK Project datasets
@@ -280,7 +282,6 @@ RUN pip install "scipy==1.12.0" \
         datashader \
         # Boruta (python implementation)
         Boruta && \
-    apt-get install -y graphviz && pip install graphviz && \
     # Pandoc is a dependency of deap
     apt-get install -y pandoc && \
     pip install essentia
diff --git a/tests/test_xgboost.py b/tests/test_xgboost.py
index 6b6c6ec1..618a63cc 100644
--- a/tests/test_xgboost.py
+++ b/tests/test_xgboost.py
@@ -21,6 +21,6 @@ def test_classifier(self):
         xgb1.fit(
             X_train, y_train,
             eval_set=[(X_train, y_train), (X_test, y_test)],
-            eval_metric='mlogloss',
+            eval_metric='mlogloss'
         )
         self.assertIn("validation_0", xgb1.evals_result())

From 3a9e7ed54941d239222954418655a6270784193f Mon Sep 17 00:00:00 2001
From: Bhavya Bahl <bbahl@google.com>
Date: Thu, 25 Jul 2024 20:10:06 +0000
Subject: [PATCH 1559/1660] Bump PyTorch version to 2.4 (#1414)

---
 tpu/config.txt | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/tpu/config.txt b/tpu/config.txt
index b495597c..a74310d2 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -9,11 +9,11 @@ TF_LINUX_WHEEL_VERSION=manylinux_2_17_x86_64.manylinux2014_x86_64
 JAX_VERSION=0.4.23
 # gsutil ls gs://pytorch-xla-releases/wheels/tpuvm/* | grep libtpu | grep -v -E ".*rc[0-9].*"
 # Supports nightly
-TORCH_VERSION=2.3.0
+TORCH_VERSION=2.4.0
 # https://github.com/pytorch/audio supports nightly
-TORCHAUDIO_VERSION=2.3.0
+TORCHAUDIO_VERSION=2.4.0
 # https://github.com/pytorch/text supports main
 TORCHTEXT_VERSION=0.18.0
 # https://github.com/pytorch/vision supports nightly
-TORCHVISION_VERSION=0.18.0
+TORCHVISION_VERSION=0.19.0
 TORCH_LINUX_WHEEL_VERSION=manylinux_2_28_x86_64

From 9587f69ad46937f6c71c6984983cc9e116823084 Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Fri, 16 Aug 2024 09:18:05 -0700
Subject: [PATCH 1560/1660] TF 2.16 with Torch 2.4.0 (#1415)

Upgraded our base cpu and gpu base image

-updated torch eco.
-removed patch and pins placed for tf 2.15
-removed torch text, it is no longer maintained and incompatible with
torch 2.4.0
-geopanda depreciated it's datasets methods, test needed to be updated
---
 Dockerfile.tmpl            | 34 ++++++++++---------------------
 Jenkinsfile                |  1 -
 config.txt                 | 15 +++++++-------
 packages/jaxlib.Dockerfile |  6 ++++--
 packages/torch.Dockerfile  | 16 +--------------
 patches/keras_patch.sh     | 41 --------------------------------------
 tests/test_geopandas.py    | 17 ++++++----------
 tests/test_torchtext.py    | 12 -----------
 tpu/Dockerfile             |  3 +--
 tpu/config.txt             |  2 --
 10 files changed, 29 insertions(+), 118 deletions(-)
 delete mode 100644 patches/keras_patch.sh
 delete mode 100644 tests/test_torchtext.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index f79a7e1e..42f198d7 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -5,7 +5,6 @@ ARG GPU_BASE_IMAGE_NAME
 ARG LIGHTGBM_VERSION
 ARG TORCH_VERSION
 ARG TORCHAUDIO_VERSION
-ARG TORCHTEXT_VERSION
 ARG TORCHVISION_VERSION
 ARG JAX_VERSION
 
@@ -38,16 +37,15 @@ RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/lib
 {{ end }}
 
 # Keep these variables in sync if base image is updated.
-ENV TENSORFLOW_VERSION=2.15.0
+ENV TENSORFLOW_VERSION=2.16.1
 # See https://github.com/tensorflow/io#tensorflow-version-compatibility
-ENV TENSORFLOW_IO_VERSION=0.35.0
+ENV TENSORFLOW_IO_VERSION=0.37.0
 
 # We need to redefine the ARG here to get the ARG value defined above the FROM instruction.
 # See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
 ARG LIGHTGBM_VERSION
 ARG TORCH_VERSION
 ARG TORCHAUDIO_VERSION
-ARG TORCHTEXT_VERSION
 ARG TORCHVISION_VERSION
 ARG JAX_VERSION
 
@@ -62,7 +60,6 @@ ENV KMP_SETTINGS=false
 ENV PIP_ROOT_USER_ACTION=ignore
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
-ADD patches/keras_patch.sh  /tmp/keras_patch.sh
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
 ADD patches/template_conf.json /opt/kaggle/conf.json
 
@@ -122,12 +119,12 @@ RUN pip install spacy && \
 {{ end}}
 
 # Install PyTorch
+# b/356397043: magma-cuda121 is the latest version
 {{ if eq .Accelerator "gpu" }}
 COPY --from=torch_whl /tmp/whl/*.whl /tmp/torch/
-RUN mamba install -y -c pytorch magma-cuda${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION} && \
+RUN mamba install -y -c pytorch magma-cuda121 && \
     pip install /tmp/torch/*.whl && \
-    # b/255757999 openmp (libomp.so) is an dependency of libtorchtext and libtorchaudio but
-    mamba install -y openmp && \
+    sudo apt -y install libsox-dev && \
     rm -rf /tmp/torch && \
     /tmp/clean-layer.sh
 {{ else }}
@@ -135,8 +132,7 @@ RUN pip install \
         torch==$TORCH_VERSION+cpu \
         torchvision==$TORCHVISION_VERSION+cpu \
         torchaudio==$TORCHAUDIO_VERSION+cpu \
-        torchtext==$TORCHTEXT_VERSION \
-    -f https://download.pytorch.org/whl/torch_stable.html && \
+        --index-url https://download.pytorch.org/whl/cpu && \
     /tmp/clean-layer.sh
 {{ end }}
 
@@ -199,32 +195,22 @@ RUN apt-get update && \
 
 RUN pip install -f http://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html h2o && /tmp/clean-layer.sh
 
-# b/318672158 Use simply tensorflow-probability once > 0.23.0 is released.
 RUN pip install \
         "tensorflow==${TENSORFLOW_VERSION}" \
         "tensorflow-io==${TENSORFLOW_IO_VERSION}" \
-        git+https://github.com/tensorflow/probability.git@fbc5ebe9b1d343113fb917010096cfd88b32eecf \
-        tensorflow_text \
+        tensorflow-probability \
+        tensorflow_decision_forests \
+        tensorflow-text \
         "tensorflow_hub>=0.16.0" \
         # b/331799280 remove once other packages over to dm-tre
         optree \
         tf-keras && \
     /tmp/clean-layer.sh
 
-# b/318672158 Use simply tensorflow_decision_forests on next release, expected with tf 2.16
-RUN pip install tensorflow_decision_forests==1.8.1 --no-deps && \
-    /tmp/clean-layer.sh
-
-RUN chmod +x /tmp/keras_patch.sh && \
-    /tmp/keras_patch.sh
-
 ADD patches/keras_internal.py /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/keras_internal.py
 ADD patches/keras_internal_test.py /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/keras_internal_test.py
 
-# Remove "--no-deps" flag and "namex" package once Keras 3.* is included in our base image.
-# We ignore dependencies since tf2.15 and Keras 3.* should work despite pip saying it won't.
-# Currently, keras tries to install a nightly version of tf 2.16: https://github.com/keras-team/keras/blob/fe2f54aa5bc42fb23a96449cf90434ab9bb6a2cd/requirements.txt#L2
-RUN pip install --no-deps "keras>3" keras-cv keras-nlp namex && \
+RUN pip install "keras>3" keras-cv keras-nlp && \
     /tmp/clean-layer.sh
 
 # b/328788268 libpysal 4.10 seems to fail with "module 'shapely' has no attribute 'Geometry'. Did you mean: 'geometry'"
diff --git a/Jenkinsfile b/Jenkinsfile
index 5137c675..93f4753d 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -36,7 +36,6 @@ pipeline {
                 --package torch \
                 --version $TORCH_VERSION \
                 --build-arg TORCHAUDIO_VERSION=$TORCHAUDIO_VERSION \
-                --build-arg TORCHTEXT_VERSION=$TORCHTEXT_VERSION \
                 --build-arg TORCHVISION_VERSION=$TORCHVISION_VERSION \
                 --build-arg CUDA_MAJOR_VERSION=$CUDA_MAJOR_VERSION \
                 --build-arg CUDA_MINOR_VERSION=$CUDA_MINOR_VERSION \
diff --git a/config.txt b/config.txt
index 6afee191..e95a1af1 100644
--- a/config.txt
+++ b/config.txt
@@ -1,12 +1,11 @@
 BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
-BASE_IMAGE_TAG=m114
-CPU_BASE_IMAGE_NAME=tf2-cpu.2-15.py310
-GPU_BASE_IMAGE_NAME=tf2-gpu.2-15.py310
+BASE_IMAGE_TAG=m122
+CPU_BASE_IMAGE_NAME=tf2-cpu.2-16.py310
+GPU_BASE_IMAGE_NAME=tf2-gpu.2-16.py310
 LIGHTGBM_VERSION=4.2.0
-TORCH_VERSION=2.1.2
-TORCHAUDIO_VERSION=2.1.2
-TORCHTEXT_VERSION=0.16.2
-TORCHVISION_VERSION=0.16.2
+TORCH_VERSION=2.4.0
+TORCHAUDIO_VERSION=2.4.0
+TORCHVISION_VERSION=0.19.0
 JAX_VERSION=0.4.26
 CUDA_MAJOR_VERSION=12
-CUDA_MINOR_VERSION=1
+CUDA_MINOR_VERSION=3
diff --git a/packages/jaxlib.Dockerfile b/packages/jaxlib.Dockerfile
index cc4e5fe9..ed73991c 100644
--- a/packages/jaxlib.Dockerfile
+++ b/packages/jaxlib.Dockerfile
@@ -15,8 +15,10 @@ ENV LIBRARY_PATH="$LIBRARY_PATH:/opt/conda/lib"
 ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/opt/conda/lib"
 
 # Instructions: https://jax.readthedocs.io/en/latest/developer.html#building-jaxlib-from-source
-RUN apt-get update && \
-    apt-get install -y g++ python python3-dev
+RUN sudo ln -s /usr/bin/python3 /usr/bin/python
+
+RUN apt-get update && \ 
+    apt-get install -y g++ python3 python3-dev
 
 RUN pip install numpy wheel build
 
diff --git a/packages/torch.Dockerfile b/packages/torch.Dockerfile
index f9579675..68c1eff3 100644
--- a/packages/torch.Dockerfile
+++ b/packages/torch.Dockerfile
@@ -4,7 +4,6 @@ FROM ${BASE_IMAGE} AS builder
 
 ARG PACKAGE_VERSION
 ARG TORCHAUDIO_VERSION
-ARG TORCHTEXT_VERSION
 ARG TORCHVISION_VERSION
 ARG CUDA_MAJOR_VERSION
 ARG CUDA_MINOR_VERSION
@@ -20,7 +19,7 @@ RUN conda install -c conda-forge mamba
 
 # Build instructions: https://github.com/pytorch/pytorch#from-source
 RUN mamba install astunparse numpy ninja pyyaml mkl mkl-include setuptools cmake cffi typing_extensions future six requests dataclasses
-RUN mamba install -c pytorch magma-cuda${CUDA_MAJOR_VERSION}${CUDA_MINOR_VERSION}
+RUN mamba install -c pytorch magma-cuda121
 
 # By default, it uses the version from version.txt which includes the `a0` (alpha zero) suffix and part of the git hash.
 # This causes dependency conflicts like these: https://paste.googleplex.com/4786486378496000
@@ -63,18 +62,6 @@ RUN sudo apt-get update && \
 RUN sed -i 's/set(envs/set(envs\n  "LIBS=-ltinfo"/' /usr/local/src/audio/third_party/sox/CMakeLists.txt 
 RUN cd /usr/local/src/audio && python setup.py bdist_wheel
 
-# Build torchtext
-# Instructions: https://github.com/pytorch/text#building-from-source
-# See comment above for PYTORCH_BUILD_VERSION.
-ENV BUILD_VERSION=$TORCHTEXT_VERSION
-RUN cd /usr/local/src && \
-    git clone https://github.com/pytorch/text && \
-    cd text && \
-    git checkout tags/v$TORCHTEXT_VERSION && \
-    git submodule sync && \
-    git submodule update --init --recursive --jobs 1 && \
-    python setup.py bdist_wheel
-
 # Build torchvision.
 # Instructions: https://github.com/pytorch/vision/tree/main#installation
 # See comment above for PYTORCH_BUILD_VERSION.
@@ -93,7 +80,6 @@ FROM alpine:latest
 RUN mkdir -p /tmp/whl/
 COPY --from=builder /usr/local/src/pytorch/dist/*.whl /tmp/whl
 COPY --from=builder /usr/local/src/audio/dist/*.whl /tmp/whl
-COPY --from=builder /usr/local/src/text/dist/*.whl /tmp/whl
 COPY --from=builder /usr/local/src/vision/dist/*.whl /tmp/whl
 
 # Print out the built .whl file.
diff --git a/patches/keras_patch.sh b/patches/keras_patch.sh
deleted file mode 100644
index 9f219026..00000000
--- a/patches/keras_patch.sh
+++ /dev/null
@@ -1,41 +0,0 @@
-#!/bin/bash
-
-# The following "sed" are to patch the current version of tf-df with
-# a fix for keras 3. In essence, replaces the use of package name "tf.keras" with 
-# "tf_keras"
-
-sed -i "/import tensorflow_decision_forests as tfdf/a import tf_keras" /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/__init__.py && \
-sed -i -e "/import tensorflow as tf/a import tf_keras" \
-       -e "/from yggdrasil_decision_forests.utils.distribute.implementations.grpc/a from tensorflow_decision_forests.keras import keras_internal" \
-       -e '/try:/{:a;N;/backend = tf.keras.backend/!ba;d}'\
-       /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/core.py && \
-sed -i -e "s/from typing import Optional, List, Dict, Any, Union, NamedTuple/from typing import Any, Dict, List, NamedTuple, Optional, Union/g" \
-       -e "/import tensorflow as tf/a from tensorflow_decision_forests.keras import keras_internal" \
-       -e "/import tensorflow as tf/a import tf_keras" \
-       -e '/layers = tf.keras.layers/{:a;N;/backend = tf.keras.backend/!ba;d}' \
-       /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/core_inference.py && \
-find /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests -type f -exec sed -i \
-     -e "s/get_data_handler/keras_internal.get_data_handler/g" \
-     -e 's/"models.Functional"/keras_internal.Functional/g' \
-     -e "s/tf.keras.utils.unpack_x_y_sample_weight/keras_internal.unpack_x_y_sample_weight/g" \
-     -e "s/tf.keras.utils.experimental/keras_internal/g" \
-     {} \; && \
-sed -i -e "/import tensorflow as tf/a import tf_keras" \
-       -e "/from tensorflow_decision_forests.keras import core/a from tensorflow_decision_forests.keras import keras_internal" \
-       -e '/layers = tf.keras.layers/{:a;N;/callbacks = tf.keras.callbacks/!ba;d}' \
-       /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/keras_test.py && \
-find /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras -type f -exec sed -i \
-     -e "s/ layers.Input/ tf_keras.layers.Input/g" \
-     -e "s/layers.minimum/tf_keras.layers.minimum/g" \
-     -e "s/layers.Concatenate/tf_keras.layers.Concatenate/g" \
-     -e "s/layers.Dense/tf_keras.layers.Dense/g" \
-     -e "s/layers.experimental.preprocessing./tf_keras.layers./g" \
-     -e "s/layers.DenseFeatures/keras_internal.layers.DenseFeatures/g" \
-     -e "s/models.Model/tf_keras.models.Model/g" {} \; && \
-sed -i "s/ models.load_model/ tf_keras.models.load_model/g" /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/keras_test.py && \
-sed -i "/import tensorflow as tf/a import tf_keras" /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/test_runner.py && \
-sed -i "/import tensorflow as tf/a import tf_keras" /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/wrappers.py && \
-sed -i -e "/import tensorflow as tf/a import tf_keras" \
-       -e "s/optimizer=optimizers.Adam()/optimizer=tf_keras.optimizers.Adam()/g" \
-       /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/wrappers_pre_generated.py && \
-find /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests -type f -exec sed -i "s/tf.keras./tf_keras./g" {} \;
diff --git a/tests/test_geopandas.py b/tests/test_geopandas.py
index e2bb4583..62a3f418 100644
--- a/tests/test_geopandas.py
+++ b/tests/test_geopandas.py
@@ -1,16 +1,11 @@
 import unittest
 
 import geopandas
+from shapely.geometry import Polygon
 
 class TestGeopandas(unittest.TestCase):
-    def test_read(self):
-        df = geopandas.read_file(geopandas.datasets.get_path('nybb'))
-        self.assertTrue(df.size > 1)
-
-    def test_spatial_join(self):
-        cities = geopandas.read_file(geopandas.datasets.get_path('naturalearth_cities'))
-        world = geopandas.read_file(geopandas.datasets.get_path('naturalearth_lowres'))
-        countries = world[['geometry', 'name']]
-        countries = countries.rename(columns={'name':'country'})
-        cities_with_country = geopandas.sjoin(cities, countries, how="inner", op='intersects')
-        self.assertTrue(cities_with_country.size > 1)
\ No newline at end of file
+    def test_GeoSeries(self):
+        p1 = Polygon([(0, 0), (1, 0), (1, 1)])
+        p2 = Polygon([(0, 0), (1, 0), (1, 1), (0, 1)])
+        p3 = Polygon([(2, 0), (3, 0), (3, 1), (2, 1)])
+        g = geopandas.GeoSeries([p1, p2, p3])
\ No newline at end of file
diff --git a/tests/test_torchtext.py b/tests/test_torchtext.py
deleted file mode 100644
index f9fbf76f..00000000
--- a/tests/test_torchtext.py
+++ /dev/null
@@ -1,12 +0,0 @@
-import unittest
-
-from torchtext.data.metrics import bleu_score
-
-
-class TestTorchtext(unittest.TestCase):
-    def test_bleu_score(self):
-        candidate = [['I', 'love', 'Kaggle', 'Notebooks']]
-        refs = [[['Completely', 'Different']]]
-
-        self.assertEqual(0, bleu_score(candidate, refs))
-
diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index ed9040a8..b94619da 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -13,7 +13,6 @@ ARG TENSORFLOW_VERSION
 ARG TF_LIBTPU_VERSION
 ARG JAX_VERSION
 ARG TORCHVISION_VERSION
-ARG TORCHTEXT_VERSION
 ARG TORCHAUDIO_VERSION
 
 ENV ISTPUVM=1
@@ -60,7 +59,7 @@ RUN apt-get update && apt-get install ffmpeg libsm6 libxext6  -y
 # Additional useful packages should be added here
 
 RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TF_LINUX_WHEEL_VERSION}.whl tensorflow-probability tensorflow-io \
-    torch~=${TORCH_VERSION} https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-${TORCH_VERSION}+libtpu-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TORCH_LINUX_WHEEL_VERSION}.whl torchvision==${TORCHVISION_VERSION} torchtext==${TORCHTEXT_VERSION} torchaudio==${TORCHAUDIO_VERSION} \
+    torch~=${TORCH_VERSION} https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-${TORCH_VERSION}+libtpu-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TORCH_LINUX_WHEEL_VERSION}.whl torchvision==${TORCHVISION_VERSION} torchaudio==${TORCHAUDIO_VERSION} \
     jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax git+https://github.com/deepmind/dm-haiku jraph distrax \
     papermill jupyterlab python-lsp-server[all] "jupyter-lsp==1.5.1" \
     pandas matplotlib opencv-python-headless librosa accelerate diffusers scikit-learn transformers \
diff --git a/tpu/config.txt b/tpu/config.txt
index a74310d2..4ce1c196 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -12,8 +12,6 @@ JAX_VERSION=0.4.23
 TORCH_VERSION=2.4.0
 # https://github.com/pytorch/audio supports nightly
 TORCHAUDIO_VERSION=2.4.0
-# https://github.com/pytorch/text supports main
-TORCHTEXT_VERSION=0.18.0
 # https://github.com/pytorch/vision supports nightly
 TORCHVISION_VERSION=0.19.0
 TORCH_LINUX_WHEEL_VERSION=manylinux_2_28_x86_64

From ba786ed972fffe8aa0502cd341652c564ac461c6 Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Fri, 16 Aug 2024 16:24:35 -0700
Subject: [PATCH 1561/1660] Learntool fix gp (#1417)

---
 Dockerfile.tmpl | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 42f198d7..963d5b1c 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -122,6 +122,8 @@ RUN pip install spacy && \
 # b/356397043: magma-cuda121 is the latest version
 {{ if eq .Accelerator "gpu" }}
 COPY --from=torch_whl /tmp/whl/*.whl /tmp/torch/
+# b/356397043: We are currently using cuda 12.3,
+# but magma-cuda121 is the latest compatible version 
 RUN mamba install -y -c pytorch magma-cuda121 && \
     pip install /tmp/torch/*.whl && \
     sudo apt -y install libsox-dev && \
@@ -535,7 +537,8 @@ RUN pip install pytorch-ignite \
         s3fs \
         gcsfs \
         kaggle-environments \
-        geopandas \
+        # geopandas > v0.14.4 breaks learn tools
+        geopandas==v0.14.4 \
         "shapely<2" \
         vowpalwabbit \
         pydub \

From 15139332f5d247cd2df390cd31f9f0b724984f61 Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Mon, 19 Aug 2024 11:57:09 -0700
Subject: [PATCH 1562/1660] fix geopandas again (#1418)

This should fix the failing learn tools test.
---
 Dockerfile.tmpl         |  5 +++--
 tests/test_geopandas.py | 17 +++++++++++------
 2 files changed, 14 insertions(+), 8 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 963d5b1c..11205a0d 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -89,8 +89,8 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     apt-get install -y graphviz && pip install graphviz && \
     /tmp/clean-layer.sh
 
-# b/128333086: Set PROJ_LIB to points to the proj4 cartographic library.
-ENV PROJ_LIB=/opt/conda/share/proj
+# b/128333086: Set PROJ_DATA to points to the proj4 cartographic library.
+ENV PROJ_DATA=/opt/conda/share/proj
 
 # Install conda packages not available on pip.
 # When using pip in a conda environment, conda commands should be ran first and then
@@ -103,6 +103,7 @@ RUN conda config --add channels nvidia && \
     # Base image channel order: conda-forge (highest priority), defaults.
     # End state: rapidsai (highest priority), nvidia, conda-forge, defaults.
     mamba install -y mkl cartopy imagemagick pyproj "shapely<2" && \
+    rm -rf /opt/conda/lib/python3.10/site-packages/pyproj/proj_dir/ && \
     /tmp/clean-layer.sh
 
 # Install spacy
diff --git a/tests/test_geopandas.py b/tests/test_geopandas.py
index 62a3f418..4c0106b2 100644
--- a/tests/test_geopandas.py
+++ b/tests/test_geopandas.py
@@ -1,11 +1,16 @@
 import unittest
 
 import geopandas
-from shapely.geometry import Polygon
 
 class TestGeopandas(unittest.TestCase):
-    def test_GeoSeries(self):
-        p1 = Polygon([(0, 0), (1, 0), (1, 1)])
-        p2 = Polygon([(0, 0), (1, 0), (1, 1), (0, 1)])
-        p3 = Polygon([(2, 0), (3, 0), (3, 1), (2, 1)])
-        g = geopandas.GeoSeries([p1, p2, p3])
\ No newline at end of file
+    def test_read(self):
+        df = geopandas.read_file(geopandas.datasets.get_path('nybb'))
+        self.assertTrue(df.size > 1)
+
+    def test_spatial_join(self):
+        cities = geopandas.read_file(geopandas.datasets.get_path('naturalearth_cities'))
+        world = geopandas.read_file(geopandas.datasets.get_path('naturalearth_lowres'))
+        countries = world[['geometry', 'name']]
+        countries = countries.rename(columns={'name':'country'})
+        cities_with_country = geopandas.sjoin(cities, countries, how="inner", op='intersects')
+        self.assertTrue(cities_with_country.size > 1)

From 846647d98e4999e565155e3324afbefd41bdd468 Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Tue, 20 Aug 2024 01:24:41 -0700
Subject: [PATCH 1563/1660] fix (#1419)

---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 11205a0d..d1f2ee39 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -183,7 +183,7 @@ RUN export PATH=/usr/local/cuda/bin:$PATH && \
 RUN JAXVER=$(pip freeze | grep -e "^jax==") && \
     pip install --upgrade \
         "matplotlib<3.8.0" \
-        seaborn \
+        "seaborn==0.12.2" \
         python-dateutil dask dask-expr igraph \
         pyyaml joblib geopy mne pyshp \
         pandas \

From 9e8425833c5d0cc34143d49881ce71b94df43974 Mon Sep 17 00:00:00 2001
From: Anil Ozyalcin <aeozyalcin@gmail.com>
Date: Fri, 23 Aug 2024 11:02:25 -0700
Subject: [PATCH 1564/1660] removed fixing pillow to 9.5.0 (#1422)

Update pillow to latest version so it can handle opening jpg images.
---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index d1f2ee39..8b3c3382 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -448,7 +448,7 @@ RUN pip install bleach \
         pexpect \
         pickleshare \
         # TODO(b/290035631) unpin when EasyOCR did a release.
-        Pillow==9.5.0 && \
+        Pillow && \
     # Install openslide and its python binding
     apt-get install -y openslide-tools && \
     pip install openslide-python \

From f13f634100bccdf249d8d83f8f99536f3ea57f3b Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Thu, 19 Sep 2024 09:40:29 -0700
Subject: [PATCH 1565/1660] Mixed bag clean up (#1425)

yeah handful of things

1) Combined some layer

2) made comments referring to bugs use consistent format

3) removed low usage packages and tests, we recently launched package
manager. we can confidently remove more unused packages. The following
packages are to be removed:
- pykalman
- preprocessing
- hmmlearn
- gplearn
- geoplot
- polyglot
- ggplot
- descartes
- fitter
- imagecodecs
- wfdb
- hpsklearn
- cleverhans
- osmnx
- pysal
- wordsegment
- vowpalwabbit
- feather
- kmodes
- ortools
- mlens
- vecstack
- Geohash
- geoviews
- s2sphere
- flashtext
- kmapper
- stemming
- hunspell
- spectral
- essentia
- hypertools
- stop_words
- scattertext
- vaex
- blake3
- catalyst (note no longer maintained since 2022)
---
 Dockerfile.tmpl            | 293 ++++++++++++++-----------------------
 tests/test_catalyst.py     | 158 --------------------
 tests/test_essentia.py     |   7 -
 tests/test_geoviews.py     |  17 ---
 tests/test_ggplot.py       |  12 --
 tests/test_imports.py      |   1 -
 tests/test_kmapper.py      |   7 -
 tests/test_matplotlib.py   |   7 +
 tests/test_pykalman.py     |  47 ------
 tests/test_vaex.py         |  10 --
 tests/test_vowpalwabbit.py |  10 --
 11 files changed, 119 insertions(+), 450 deletions(-)
 delete mode 100644 tests/test_catalyst.py
 delete mode 100644 tests/test_essentia.py
 delete mode 100644 tests/test_geoviews.py
 delete mode 100644 tests/test_ggplot.py
 delete mode 100644 tests/test_kmapper.py
 delete mode 100644 tests/test_pykalman.py
 delete mode 100644 tests/test_vaex.py
 delete mode 100644 tests/test_vowpalwabbit.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 8b3c3382..c0037839 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -1,12 +1,12 @@
-ARG BASE_IMAGE_REPO
-ARG BASE_IMAGE_TAG
-ARG CPU_BASE_IMAGE_NAME
-ARG GPU_BASE_IMAGE_NAME
-ARG LIGHTGBM_VERSION
-ARG TORCH_VERSION
-ARG TORCHAUDIO_VERSION
-ARG TORCHVISION_VERSION
-ARG JAX_VERSION
+ARG BASE_IMAGE_REPO \
+    BASE_IMAGE_TAG \
+    CPU_BASE_IMAGE_NAME \
+    GPU_BASE_IMAGE_NAME \
+    LIGHTGBM_VERSION \
+    TORCH_VERSION \
+    TORCHAUDIO_VERSION \
+    TORCHVISION_VERSION \
+    JAX_VERSION
 
 {{ if eq .Accelerator "gpu" }}
 FROM gcr.io/kaggle-images/python-lightgbm-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${LIGHTGBM_VERSION} AS lightgbm_whl
@@ -18,61 +18,50 @@ FROM ${BASE_IMAGE_REPO}/${CPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
 {{ end }}
 
 # Ensures shared libraries installed with conda can be found by the dynamic link loader.
-ENV LIBRARY_PATH="$LIBRARY_PATH:/opt/conda/lib"
-ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/opt/conda/lib"
+ENV LIBRARY_PATH="$LIBRARY_PATH:/opt/conda/lib" \
+    LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/opt/conda/lib"
 
 {{ if eq .Accelerator "gpu" }}
-ARG CUDA_MAJOR_VERSION
-ARG CUDA_MINOR_VERSION
-ENV CUDA_MAJOR_VERSION=${CUDA_MAJOR_VERSION}
-ENV CUDA_MINOR_VERSION=${CUDA_MINOR_VERSION}
+ARG CUDA_MAJOR_VERSION \
+    CUDA_MINOR_VERSION
+ENV CUDA_MAJOR_VERSION=${CUDA_MAJOR_VERSION} \
+    CUDA_MINOR_VERSION=${CUDA_MINOR_VERSION}
 # Make sure we are on the right version of CUDA
 RUN update-alternatives --set cuda /usr/local/cuda-$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION
 # NVIDIA binaries from the host are mounted to /opt/bin.
-ENV PATH=/opt/bin:${PATH}
-# Add CUDA stubs to LD_LIBRARY_PATH to support building the GPU image on a CPU machine.
-ENV LD_LIBRARY_PATH_NO_STUBS="$LD_LIBRARY_PATH"
-ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64/stubs"
+ENV PATH=/opt/bin:${PATH} \
+    # Add CUDA stubs to LD_LIBRARY_PATH to support building the GPU image on a CPU machine.
+    LD_LIBRARY_PATH_NO_STUBS="$LD_LIBRARY_PATH" \
+    LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64/stubs"
 RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
 {{ end }}
 
 # Keep these variables in sync if base image is updated.
-ENV TENSORFLOW_VERSION=2.16.1
-# See https://github.com/tensorflow/io#tensorflow-version-compatibility
-ENV TENSORFLOW_IO_VERSION=0.37.0
+ENV TENSORFLOW_VERSION=2.16.1 \
+    # See https://github.com/tensorflow/io#tensorflow-version-compatibility
+    TENSORFLOW_IO_VERSION=0.37.0
 
 # We need to redefine the ARG here to get the ARG value defined above the FROM instruction.
 # See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
-ARG LIGHTGBM_VERSION
-ARG TORCH_VERSION
-ARG TORCHAUDIO_VERSION
-ARG TORCHVISION_VERSION
-ARG JAX_VERSION
+ARG LIGHTGBM_VERSION \
+    TORCH_VERSION \
+    TORCHAUDIO_VERSION \
+    TORCHVISION_VERSION \
+    JAX_VERSION
 
 # Disable pesky logs like: KMP_AFFINITY: pid 6121 tid 6121 thread 0 bound to OS proc set 0
 # See: https://stackoverflow.com/questions/57385766/disable-tensorflow-log-information
-ENV KMP_WARNINGS=0
-# Also make the KMP logs noverbose.
-# https://stackoverflow.com/questions/70250304/stop-tensorflow-from-printing-warning-message
-ENV KMP_SETTINGS=false
-
-# Remove the pip as the root user warning.
-ENV PIP_ROOT_USER_ACTION=ignore
+ENV KMP_WARNINGS=0 \
+    # Also make the KMP logs noverbose.
+    # https://stackoverflow.com/questions/70250304/stop-tensorflow-from-printing-warning-message
+    KMP_SETTINGS=false \
+    # Remove the pip as the root user warning.
+    PIP_ROOT_USER_ACTION=ignore
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
 ADD patches/template_conf.json /opt/kaggle/conf.json
 
-# b/276344496: Install specific version of boto3, because 1.26.103 is broken.
-RUN pip install boto3==1.26.100 && \
-    /tmp/clean-layer.sh
-
-{{ if eq .Accelerator "gpu" }}
-# b/200968891 Keeps horovod once torch is upgraded.
-RUN pip uninstall -y horovod && \
-    /tmp/clean-layer.sh
-{{ end }}
-
 # Update GPG key per documentation at https://cloud.google.com/compute/docs/troubleshooting/known-issues
 RUN curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key add -
 RUN curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key --keyring /usr/share/keyrings/cloud.google.gpg add -
@@ -98,7 +87,7 @@ ENV PROJ_DATA=/opt/conda/share/proj
 RUN conda config --add channels nvidia && \
     conda config --add channels rapidsai && \
     conda config --set solver libmamba && \
-    # b/299991198 remove curl/libcurl install once DLVM base image includes version >= 7.86
+    # b/299991198: remove curl/libcurl install once DLVM base image includes version >= 7.86
     conda install -c conda-forge mamba curl libcurl && \
     # Base image channel order: conda-forge (highest priority), defaults.
     # End state: rapidsai (highest priority), nvidia, conda-forge, defaults.
@@ -178,12 +167,15 @@ RUN export PATH=/usr/local/cuda/bin:$PATH && \
     /tmp/clean-layer.sh
 {{ end }}
 
-# (b/308525631) Pin Matplotlib until seaborn can be upgraded
+# b/308525631: Pin Matplotlib until seaborn can be upgraded
 # to >0.13.0 (now it's stuck by a package conflict with ydata-profiling 4.5.1).
 RUN JAXVER=$(pip freeze | grep -e "^jax==") && \
     pip install --upgrade \
         "matplotlib<3.8.0" \
+        # ipympl adds interactive widget support for matplotlib
+        ipympl==0.7.0 \
         "seaborn==0.12.2" \
+        pyupset \
         python-dateutil dask dask-expr igraph \
         pyyaml joblib geopy mne pyshp \
         pandas \
@@ -205,21 +197,17 @@ RUN pip install \
         tensorflow_decision_forests \
         tensorflow-text \
         "tensorflow_hub>=0.16.0" \
-        # b/331799280 remove once other packages over to dm-tre
-        optree \
-        tf-keras && \
+        tf-keras \
+        "keras>3" \
+        keras-cv \
+        keras-nlp && \
     /tmp/clean-layer.sh
 
-ADD patches/keras_internal.py /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/keras_internal.py
-ADD patches/keras_internal_test.py /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/keras_internal_test.py
+ADD patches/keras_internal.py \
+    patches/keras_internal_test.py \
+    /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/
 
-RUN pip install "keras>3" keras-cv keras-nlp && \
-    /tmp/clean-layer.sh
-
-# b/328788268 libpysal 4.10 seems to fail with "module 'shapely' has no attribute 'Geometry'. Did you mean: 'geometry'"
-RUN pip install pysal "libpysal==4.9.2"
-
-# b/350573866 xgboost v2.1.0 breaks learntools
+# b/350573866: xgboost v2.1.0 breaks learntools
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
     pip install gensim \
@@ -247,16 +235,15 @@ RUN apt-get install -y libfreetype6-dev && \
     state_union stopwords subjectivity swadesh switchboard tagsets timit toolbox treebank \
     twitter_samples udhr2 udhr unicode_samples universal_tagset universal_treebanks_v20 \
     vader_lexicon verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe && \
-    # Stop-words
-    pip install stop-words \
-        scikit-image && \
+    pip install scikit-image && \
+    pip install opencv-contrib-python opencv-python && \
     /tmp/clean-layer.sh
 
-RUN pip install opencv-contrib-python opencv-python && \
-    /tmp/clean-layer.sh
-
-# Pin scipy until we update JAX b/335003097
-RUN pip install "scipy==1.12.0" \
+RUN pip install cython \
+        fasttext \
+        opencv-contrib-python \
+        opencv-python \
+        "scipy<1.14.0" \
         # Scikit-learn accelerated library for x86
         "scikit-learn-intelex>=2023.0.1" \
         # HDF5 support
@@ -269,17 +256,18 @@ RUN pip install "scipy==1.12.0" \
         bokeh \
         numba \
         datashader \
-        # Boruta (python implementation)
+        # b/328788268: libpysal 4.10 seems to fail with "module 'shapely' has no attribute 'Geometry'. Did you mean: 'geometry'"
+        "libpysal==4.9.2" \
+        # b/276344496: Install specific version of boto3, because 1.26.103 is broken.
+        "boto3==1.26.100" \
         Boruta && \
     # Pandoc is a dependency of deap
     apt-get install -y pandoc && \
-    pip install essentia
-
-RUN apt-get install -y git-lfs && \
     /tmp/clean-layer.sh
 
-# vtk with dependencies
-RUN apt-get install -y libgl1-mesa-glx && \
+RUN apt-get install -y git-lfs && \
+    # vtk with dependencies
+    apt-get install -y libgl1-mesa-glx && \
     pip install vtk && \
     # xvfbwrapper with dependencies
     apt-get install -y xvfb && \
@@ -295,22 +283,19 @@ RUN pip install mpld3 \
         nibabel \
         imgaug \
         preprocessing \
-        path.py \
-        Geohash && \
+        path.py && \
     pip install deap \
-        # b/302136621 Fix eli5 import for learntools, newer version require scikit-learn > 1.3
+        # b/302136621: Fix eli5 import for learntools, newer version require scikit-learn > 1.3
         "tpot==0.12.1" \
         scikit-optimize \
         haversine \
         toolz cytoolz \
         plotly \
         hyperopt \
-        fitter \
         langid \
         # Useful data exploration libraries (for missing data and generating reports)
         missingno \
         pandas-profiling \
-        s2sphere \
         bayesian-optimization \
         matplotlib-venn \
         pyldavis \
@@ -320,32 +305,20 @@ RUN pip install mpld3 \
         ecos \
         CVXcanon \
         pymc3 \
-        imagecodecs \
         tifffile \
-        spectral \
-        descartes \
         geojson \
         pydicom \
         wavio \
         SimpleITK \
-        hmmlearn \
-        gplearn \
         squarify \
         fuzzywuzzy \
         python-louvain \
         pyexcel-ods \
         sklearn-pandas \
-        stemming \
-        # b/266272046 prophet 1.1.2 breaks the test
-        prophet==1.1.1 \
-        # b/283847935 holidays >0.24 is broken
-        "holidays==0.24" \
+        prophet \
+        holidays \
         holoviews \
-        geoviews \
-        hypertools \
-        mlens \
         scikit-multilearn \
-        cleverhans \
         leven \
         catboost \
         folium \
@@ -354,7 +327,6 @@ RUN pip install mpld3 \
         plotnine \
         scikit-surprise \
         pymongo \
-        geoplot \
         eli5 \
         kaggle \
         kagglehub \
@@ -362,22 +334,16 @@ RUN pip install mpld3 \
         pytest && \
     /tmp/clean-layer.sh
 
-RUN rm -rf /opt/conda/lib/python3.10/site-packages/numpy-1.23.5.dist-info*
  # Add google PAIR-code Facets
 RUN cd /opt/ && git clone https://github.com/PAIR-code/facets && cd facets/ && jupyter nbextension install facets-dist/ --user && \
     export PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/ && \
-    pip install kmodes --no-dependencies && \
     pip install librosa \
-        polyglot \
         sentencepiece \
         cufflinks \
         lime \
         memory_profiler && \
     /tmp/clean-layer.sh
 
-RUN pip install cython \
-        fasttext && \
-    apt-get install -y libhunspell-dev && pip install hunspell
 RUN pip install annoy \
         category_encoders && \
     # b/183041606#comment5: the Kaggle data proxy doesn't support these APIs. If the library is missing, it falls back to using a regular BigQuery query to fetch data.
@@ -390,33 +356,26 @@ RUN pip install annoy \
         google-cloud-bigquery \
         google-cloud-storage && \
     # Split these installations to avoid `pip._vendor.resolvelib.resolvers.ResolutionTooDeep: 200000`
-    # TODO(b/315753846) Unpin translate package.
+    # b/315753846: Unpin translate package.
     pip install google-cloud-translate==3.12.1 \
         google-cloud-language==2.* \
         google-cloud-videointelligence==2.* \
         google-cloud-vision==2.* \
         protobuf==3.20.3 \
-        ortools \
-        scattertext \
         # Pandas data reader
         pandas-datareader \
-        wordsegment \
         emoji \
         # Add Japanese morphological analysis engine
         janome \
-        wfdb \
-        vecstack \
         # yellowbrick machine learning visualization library
         yellowbrick \
         mlcrate && \
     /tmp/clean-layer.sh
 
-# b/273059949 The pre-installed nbconvert is slow on html conversions and has to be force-uninstalled.
-# b/274619697 learntools also requires a specific nbconvert right now
+# b/273059949: The pre-installed nbconvert is slow on html conversions and has to be force-uninstalled.
+# b/274619697: learntools also requires a specific nbconvert right now
 RUN rm -rf /opt/conda/lib/python3.10/site-packages/{nbconvert,nbclient,mistune,platformdirs}*
 
-# Fix qgrid by pinning ipywidgets https://github.com/quantopian/qgrid/issues/376
-#        allennlp \
 RUN pip install bleach \
         certifi \
         cycler \
@@ -426,6 +385,7 @@ RUN pip install bleach \
         ipykernel \
         ipython \
         ipython-genutils \
+        # Fix qgrid by pinning ipywidgets https://github.com/quantopian/qgrid/issues/376
         ipywidgets==7.7.1 \
         isoweek \
         jedi \
@@ -447,7 +407,6 @@ RUN pip install bleach \
         pandocfilters \
         pexpect \
         pickleshare \
-        # TODO(b/290035631) unpin when EasyOCR did a release.
         Pillow && \
     # Install openslide and its python binding
     apt-get install -y openslide-tools && \
@@ -469,7 +428,6 @@ RUN pip install bleach \
         widgetsnbextension \
         # Require pyarrow newer than https://github.com/advisories/GHSA-5wvp-7f3h-6wmm
         {{ if eq .Accelerator "gpu" }} pyarrow {{ else }} "pyarrow>=14.0.1" {{ end }} \
-        feather-format \
         fastai
 
 RUN python -m spacy download en_core_web_sm && python -m spacy download en_core_web_lg && \
@@ -484,20 +442,14 @@ RUN python -m spacy download en_core_web_sm && python -m spacy download en_core_
     #
     ###########
 
-RUN rm /opt/conda/lib/python3.10/site-packages/google*/direct_url.json
-RUN rm /opt/conda/lib/python3.10/site-packages/google*/REQUESTED
-
+RUN rm /opt/conda/lib/python3.10/site-packages/google*/direct_url.json && \
+    rm /opt/conda/lib/python3.10/site-packages/google*/REQUESTED
 # dlib has a libmkl incompatibility:
 # test_dlib_face_detector (test_dlib.TestDLib) ... INTEL MKL ERROR: /opt/conda/bin/../lib/libmkl_avx512.so.2: undefined symbol: mkl_sparse_optimize_bsr_trsm_i8.
 # Intel MKL FATAL ERROR: Cannot load libmkl_avx512.so.2 or libmkl_def.so.2.
 # nnabla breaks protobuf compatibiilty:
-RUN pip install flashtext \
-        wandb \
-        # b/214080882 blake3 0.3.0 is not compatible with vaex.
-        blake3==0.2.1 \
-        vaex \
+RUN pip install wandb \
         pyemd \
-        pyupset \
         pympler \
         featuretools \
         #-e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper \
@@ -506,30 +458,24 @@ RUN pip install flashtext \
         gym \
         pyarabic \
         pandasql \
-	# b/302136621 Fix eli5 import for learntools
+	    # b/302136621: Fix eli5 import for learntools
         scikit-learn==1.2.2 \
-	hpsklearn \
-        kmapper \
-	# b/329869023 shap 0.45.0 breaks learntools
+	    # b/329869023 shap 0.45.0 breaks learntools
         shap==0.44.1 \
         cesium \
         rgf_python \
         jieba  \
-        # ggplot is broken and main repo does not merge and release https://github.com/yhat/ggpy/pull/668
-        https://github.com/hbasria/ggpy/archive/0.11.5.zip \
         tsfresh \
-        pykalman \
         optuna \
         plotly_express \
         albumentations \
-        accelerate \
-        # b/290207097 switch back to the pip catalyst package when bug fixed
-        # https://github.com/catalyst-team/catalyst/issues/1440
-        git+https://github.com/Philmod/catalyst.git@fix-fp16#egg=catalyst \
-        osmnx && \
+        Rtree \
+        accelerate && \
     apt-get -y install libspatialindex-dev
 
-RUN pip install pytorch-ignite \
+RUN rm -rf /opt/conda/lib/python3.10/site-packages/numpy* && \
+    pip install "numpy==1.26.4" && \
+    pip install pytorch-ignite \
         qgrid \
         bqplot \
         earthengine-api \
@@ -541,7 +487,6 @@ RUN pip install pytorch-ignite \
         # geopandas > v0.14.4 breaks learn tools
         geopandas==v0.14.4 \
         "shapely<2" \
-        vowpalwabbit \
         pydub \
         pydegensac \
         torchmetrics \
@@ -552,14 +497,12 @@ RUN pip install pytorch-ignite \
         # pycrypto is used by competitions team.
         pycryptodome \
         easyocr \
-        # ipympl adds interactive widget support for matplotlib
-        ipympl==0.7.0 \
         onnx \
         tables \
         openpyxl \
         timm \
         torchinfo && \
-        pip install git+https://github.com/facebookresearch/segment-anything.git && \
+    pip install git+https://github.com/facebookresearch/segment-anything.git && \
     # b/343971718: remove duplicate aiohttp installs, and reinstall it
     rm -rf /opt/conda/lib/python3.10/site-packages/aiohttp* && \
     mamba install --force-reinstall -y aiohttp && \
@@ -586,12 +529,12 @@ RUN apt-get install tesseract-ocr -y && \
         pdf2image \
         PyPDF && \
     /tmp/clean-layer.sh
-ENV TESSERACT_PATH=/usr/bin/tesseract
 
-# For Facets
-ENV PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/
-# For Theano with MKL
-ENV MKL_THREADING_LAYER=GNU
+ENV TESSERACT_PATH=/usr/bin/tesseract \
+    # For Facets
+    PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/ \
+    # For Theano with MKL
+    MKL_THREADING_LAYER=GNU
 
 # Temporary fixes and patches
 # Temporary patch for Dask getting downgraded, which breaks Keras
@@ -605,7 +548,7 @@ RUN pip install --upgrade dask && \
     mkdir -p /etc/ipython/ && echo "c = get_config(); c.IPKernelApp.matplotlib = 'inline'" > /etc/ipython/ipython_config.py && \
     # Temporary patch for broken libpixman 0.38 in conda-forge, symlink to system libpixman 0.34 untile conda package gets updated to 0.38.5 or higher.
     ln -sf /usr/lib/x86_64-linux-gnu/libpixman-1.so.0.34.0 /opt/conda/lib/libpixman-1.so.0.38.0 && \
-    # pin jupyter-server to version 2.12.5; later versions break LSP (b/333854354)
+    # b/333854354: pin jupyter-server to version 2.12.5; later versions break LSP (b/333854354)
     pip install --force-reinstall --no-deps jupyter_server==2.12.5 && \
     /tmp/clean-layer.sh
 
@@ -620,13 +563,15 @@ RUN mkdir -p ~/src && git clone https://github.com/SohierDane/BigQuery_Helper ~/
 
 # Add BigQuery client proxy settings
 ENV PYTHONUSERBASE "/root/.local"
-ADD patches/kaggle_gcp.py /root/.local/lib/python3.10/site-packages/kaggle_gcp.py
-ADD patches/kaggle_secrets.py /root/.local/lib/python3.10/site-packages/kaggle_secrets.py
-ADD patches/kaggle_session.py /root/.local/lib/python3.10/site-packages/kaggle_session.py
-ADD patches/kaggle_web_client.py /root/.local/lib/python3.10/site-packages/kaggle_web_client.py
-ADD patches/kaggle_datasets.py /root/.local/lib/python3.10/site-packages/kaggle_datasets.py
-ADD patches/log.py /root/.local/lib/python3.10/site-packages/log.py
-ADD patches/sitecustomize.py /root/.local/lib/python3.10/site-packages/sitecustomize.py
+ADD patches/kaggle_gcp.py \
+    patches/kaggle_secrets.py \
+    patches/kaggle_session.py \
+    patches/kaggle_web_client.py \ 
+    patches/kaggle_datasets.py \
+    patches/log.py \
+    patches/sitecustomize.py \
+    /root/.local/lib/python3.10/site-packages/
+
 # Override default imagemagick policies
 ADD patches/imagemagick-policy.xml /etc/ImageMagick-6/policy.xml
 
@@ -635,20 +580,6 @@ ADD patches/kaggle_module_resolver.py /opt/conda/lib/python3.10/site-packages/te
 RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /opt/conda/lib/python3.10/site-packages/tensorflow_hub/config.py && \
     sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' /opt/conda/lib/python3.10/site-packages/tensorflow_hub/config.py
 
-# TensorBoard Jupyter extension. Should be replaced with TensorBoard's provided magic once we have
-# worker tunneling support in place.
-# b/139212522 re-enable TensorBoard once solution for slowdown is implemented.
-# ENV JUPYTER_CONFIG_DIR "/root/.jupyter/"
-# RUN pip install jupyter_tensorboard && \
-#     jupyter serverextension enable jupyter_tensorboard && \
-#     jupyter tensorboard enable
-# ADD patches/tensorboard/notebook.py /opt/conda/lib/python3.10/site-packages/tensorboard/notebook.py
-
-# Disable unnecessary jupyter extensions
-#RUN jupyter-nbextension disable nb_conda --py --sys-prefix && \
-#    jupyter-serverextension disable nb_conda --py --sys-prefix && \
-#    python -m nb_conda_kernels.install --disable
-
 # Disable preloaded jupyter modules (they add to startup, and break when they are missing)
 RUN sed -i /bq_stats/d /etc/ipython/ipython_kernel_config.py && \
     sed -i /beatrix/d /etc/ipython/ipython_kernel_config.py && \
@@ -662,37 +593,37 @@ RUN rm /opt/conda/bin/../lib/libcusolver.so.11 && ln -s /usr/local/cuda/lib64/li
 RUN ln -s /usr/local/cuda/lib64/libcusolver.so.11 /opt/conda/bin/../lib/libcusolver.so.11
 {{ end }}
 
-# b/270147159 conda ships with a version of libtinfo which is missing version info causing warnings, replace it with a good version.
+# b/270147159: conda ships with a version of libtinfo which is missing version info causing warnings, replace it with a good version.
 RUN rm /opt/conda/lib/libtinfo.so.6 && ln -s /usr/lib/x86_64-linux-gnu/libtinfo.so.6 /opt/conda/lib/libtinfo.so.6
 
-# b/276358430 fix Jupyter lsp freezing up the jupyter server
+# b/276358430: fix Jupyter lsp freezing up the jupyter server
 RUN pip install "jupyter-lsp==1.5.1"
 
 # Set backend for matplotlib
-ENV MPLBACKEND "agg"
+ENV MPLBACKEND="agg" \  
+    # Set LC_ALL
+    # https://github.com/explosion/spaCy/issues/12872#issuecomment-1661847588
+    LC_ALL="POSIX"
 
-# Set LC_ALL
-# https://github.com/explosion/spaCy/issues/12872#issuecomment-1661847588
-ENV LC_ALL "POSIX"
+ARG GIT_COMMIT=unknown \
+    BUILD_DATE=unknown
 
-ARG GIT_COMMIT=unknown
-ARG BUILD_DATE=unknown
+LABEL git-commit=$GIT_COMMIT \
+    build-date=$BUILD_DATE
 
-LABEL git-commit=$GIT_COMMIT
-LABEL build-date=$BUILD_DATE
-ENV GIT_COMMIT=${GIT_COMMIT}
-ENV BUILD_DATE=${BUILD_DATE}
+ENV GIT_COMMIT=${GIT_COMMIT} \
+    BUILD_DATE=${BUILD_DATE}
 
-LABEL tensorflow-version=$TENSORFLOW_VERSION
-# Used in the Jenkins `Docker GPU Build` step to restrict the images being pruned.
-LABEL kaggle-lang=python
+LABEL tensorflow-version=$TENSORFLOW_VERSION \
+    # Used in the Jenkins `Docker GPU Build` step to restrict the images being pruned.
+    kaggle-lang=python
 
 # Correlate current release with the git hash inside the kernel editor by running `!cat /etc/git_commit`.
 RUN echo "$GIT_COMMIT" > /etc/git_commit && echo "$BUILD_DATE" > /etc/build_date
 
 {{ if eq .Accelerator "gpu" }}
 # Remove the CUDA stubs.
-ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH_NO_STUBS"
-# Add the CUDA home.
-ENV CUDA_HOME=/usr/local/cuda
+ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH_NO_STUBS" \
+    # Add the CUDA home.
+    CUDA_HOME=/usr/local/cuda
 {{ end }}
diff --git a/tests/test_catalyst.py b/tests/test_catalyst.py
deleted file mode 100644
index 3b9c97d4..00000000
--- a/tests/test_catalyst.py
+++ /dev/null
@@ -1,158 +0,0 @@
-import unittest
-import collections
-import json
-import numpy as np
-
-import torch
-import torch.nn as nn
-import torch.nn.functional as F
-import torchvision
-import torchvision.transforms as transforms
-
-import catalyst
-from catalyst.dl import SupervisedRunner, CheckpointCallback
-from catalyst import utils
-
-
-def _to_categorical(y, num_classes=None, dtype='float32'):
-    """
-    Taken from 
-    github.com/keras-team/keras/blob/master/keras/utils/np_utils.py
-    Converts a class vector (integers) to binary class matrix.
-    E.g. for use with categorical_crossentropy.
-    # Arguments
-        y: class vector to be converted into a matrix
-            (integers from 0 to num_classes).
-        num_classes: total number of classes.
-        dtype: The data type expected by the input, as a string
-            (`float32`, `float64`, `int32`...)
-    # Returns
-        A binary matrix representation of the input. The classes axis
-        is placed last.
-    # Example
-    ```python
-    # Consider an array of 5 labels out of a set of 3 classes {0, 1, 2}:
-    > labels
-    array([0, 2, 1, 2, 0])
-    # `to_categorical` converts this into a matrix with as many
-    # columns as there are classes. The number of rows
-    # stays the same.
-    > to_categorical(labels)
-    array([[ 1.,  0.,  0.],
-           [ 0.,  0.,  1.],
-           [ 0.,  1.,  0.],
-           [ 0.,  0.,  1.],
-           [ 1.,  0.,  0.]], dtype=float32)
-    ```
-    """
-
-    y = np.array(y, dtype='int')
-    input_shape = y.shape
-    if input_shape and input_shape[-1] == 1 and len(input_shape) > 1:
-        input_shape = tuple(input_shape[:-1])
-    y = y.ravel()
-    if not num_classes:
-        num_classes = np.max(y) + 1
-    n = y.shape[0]
-    categorical = np.zeros((n, num_classes), dtype=dtype)
-    categorical[np.arange(n), y] = 1
-    output_shape = input_shape + (num_classes,)
-    categorical = np.reshape(categorical, output_shape)
-    return categorical
-
-
-class Net(nn.Module):
-    def __init__(self):
-        super().__init__()
-        self.conv1 = nn.Conv2d(1, 20, 5, 1)
-        self.conv2 = nn.Conv2d(20, 50, 5, 1)
-        self.fc1 = nn.Linear(4 * 4 * 50, 500)
-        self.fc2 = nn.Linear(500, 10)
-
-    def forward(self, x):
-        x = F.relu(self.conv1(x))
-        x = F.max_pool2d(x, 2, 2)
-        x = F.relu(self.conv2(x))
-        x = F.max_pool2d(x, 2, 2)
-        x = x.view(-1, 4 * 4 * 50)
-        x = F.relu(self.fc1(x))
-        x = self.fc2(x)
-        return x
-
-
-class TestCatalyst(unittest.TestCase):
-
-    def test_version(self):
-        self.assertIsNotNone(catalyst.__version__)
-    
-    def test_mnist(self):
-        utils.set_global_seed(42)
-        x_train = np.random.random((100, 1, 28, 28)).astype(np.float32)
-        y_train = _to_categorical(
-            np.random.randint(10, size=(100, 1)), 
-            num_classes=10
-        ).astype(np.float32)
-        x_valid = np.random.random((20, 1, 28, 28)).astype(np.float32)
-        y_valid = _to_categorical(
-            np.random.randint(10, size=(20, 1)), 
-            num_classes=10
-        ).astype(np.float32)
-
-        x_train, y_train, x_valid, y_valid = \
-            list(map(torch.tensor, [x_train, y_train, x_valid, y_valid]))
-
-        bs = 32
-        num_workers = 4
-        data_transform = transforms.ToTensor()
-
-        loaders = collections.OrderedDict()
-
-        trainset = torch.utils.data.TensorDataset(x_train, y_train)
-        trainloader = torch.utils.data.DataLoader(
-            trainset, batch_size=bs,
-            shuffle=True, num_workers=num_workers)
-
-        validset = torch.utils.data.TensorDataset(x_valid, y_valid)
-        validloader = torch.utils.data.DataLoader(
-            validset, batch_size=bs,
-            shuffle=False, num_workers=num_workers)
-
-        loaders["train"] = trainloader
-        loaders["valid"] = validloader
-
-        # experiment setup
-        num_epochs = 3
-        logdir = "./logs"
-
-        # model, criterion, optimizer
-        model = Net()
-        criterion = nn.BCEWithLogitsLoss()
-        optimizer = torch.optim.Adam(model.parameters())
-
-        # model runner
-        runner = SupervisedRunner()
-
-        # model training
-        runner.train(
-            model=model,
-            criterion=criterion,
-            optimizer=optimizer,
-            loaders=loaders,
-            logdir=logdir,
-            num_epochs=num_epochs,
-            verbose=False,
-            callbacks=[CheckpointCallback(
-                logdir,
-                topk=3,
-                save_best=True,
-                loader_key="valid",
-                metric_key="loss",
-                minimize=True)]
-        )
-
-        with open('./logs/model.storage.json') as f:
-            metrics = json.load(f)
-            storage = metrics['storage']
-            self.assertEqual(3, len(storage))
-            self.assertTrue(storage[0]['metric'] < storage[2]['metric'])
-            self.assertTrue(storage[0]['metric']< 0.35)
diff --git a/tests/test_essentia.py b/tests/test_essentia.py
deleted file mode 100644
index 749b9466..00000000
--- a/tests/test_essentia.py
+++ /dev/null
@@ -1,7 +0,0 @@
-import unittest
-
-from essentia.standard import Windowing
-
-class TestEssentia(unittest.TestCase):
-    def test_windowing(self):
-        Windowing(type = 'hann')
diff --git a/tests/test_geoviews.py b/tests/test_geoviews.py
deleted file mode 100644
index 2636cc6f..00000000
--- a/tests/test_geoviews.py
+++ /dev/null
@@ -1,17 +0,0 @@
-import unittest
-
-from common import p100_exempt
-
-class TestGeoviews(unittest.TestCase):
-
-    @p100_exempt # b/342143152: Uses cuDF(>=24.4v), which is no longer capitble with p100 GPUs.
-
-    def test_viz(self):
-        import geoviews.feature as gf
-        import holoviews as hv
-        from cartopy import crs
-
-        hv.extension('matplotlib')
-        (gf.ocean + gf.land + gf.ocean * gf.land * gf.coastline * gf.borders).options(
-            'Feature', projection=crs.Geostationary(), global_extent=True
-        ).cols(3)
diff --git a/tests/test_ggplot.py b/tests/test_ggplot.py
deleted file mode 100644
index 30aec29f..00000000
--- a/tests/test_ggplot.py
+++ /dev/null
@@ -1,12 +0,0 @@
-import unittest
-import os.path
-
-from ggplot import *
-
-class TestGgplot(unittest.TestCase):
-
-    def test_plot(self):
-        p = ggplot(aes(x='mpg'), data=mtcars) + geom_histogram()
-        p.save("myplot.png")
-
-        self.assertTrue(os.path.isfile("myplot.png"))
diff --git a/tests/test_imports.py b/tests/test_imports.py
index 4977ff9c..b22ebe7a 100644
--- a/tests/test_imports.py
+++ b/tests/test_imports.py
@@ -4,6 +4,5 @@ class TestImport(unittest.TestCase):
     # Basic import tests for packages without any.
     def test_basic(self):
         import bq_helper
-        import cleverhans
         import tensorflow_datasets
         import segment_anything
diff --git a/tests/test_kmapper.py b/tests/test_kmapper.py
deleted file mode 100644
index c75deea3..00000000
--- a/tests/test_kmapper.py
+++ /dev/null
@@ -1,7 +0,0 @@
-import unittest
-
-import kmapper as km
-
-class TestKMapper(unittest.TestCase):
-    def test_init(self):
-        km.KeplerMapper()
diff --git a/tests/test_matplotlib.py b/tests/test_matplotlib.py
index 1cbc939a..c04f3f23 100644
--- a/tests/test_matplotlib.py
+++ b/tests/test_matplotlib.py
@@ -1,10 +1,17 @@
 import unittest
 import os.path
 
+from distutils.version import StrictVersion
+
+import matplotlib
 import matplotlib.pyplot as plt
 import numpy as np
 
 class TestMatplotlib(unittest.TestCase):
+    def test_version(self):
+        # b/308525631: newer versions of Matplotlib causes learntools to fail
+        self.assertLess(StrictVersion(matplotlib.__version__), StrictVersion("3.8.0"))
+
     def test_plot(self):
         plt.plot(np.linspace(0,1,50), np.random.rand(50))
         plt.savefig("plot1.png")
diff --git a/tests/test_pykalman.py b/tests/test_pykalman.py
deleted file mode 100644
index 26d86003..00000000
--- a/tests/test_pykalman.py
+++ /dev/null
@@ -1,47 +0,0 @@
-import unittest
-import numpy as np
-from pykalman import KalmanFilter
-from pykalman import UnscentedKalmanFilter
-from pykalman.sqrt import CholeskyKalmanFilter, AdditiveUnscentedKalmanFilter
-
-class TestPyKalman(unittest.TestCase):
-    def test_kalman_filter(self):
-        kf = KalmanFilter(transition_matrices = [[1, 1], [0, 1]], observation_matrices = [[0.1, 0.5], [-0.3, 0.0]])
-        measurements = np.asarray([[1,0], [0,0], [0,1]])  # 3 observations
-        kf = kf.em(measurements, n_iter=5)
-        (filtered_state_means, filtered_state_covariances) = kf.filter(measurements)
-        (smoothed_state_means, smoothed_state_covariances) = kf.smooth(measurements)
-        return filtered_state_means
-       
-    def test_kalman_missing(self):
-        kf = KalmanFilter(transition_matrices = [[1, 1], [0, 1]], observation_matrices = [[0.1, 0.5], [-0.3, 0.0]])
-        measurements = np.asarray([[1,0], [0,0], [0,1]])  # 3 observations
-        measurements = np.ma.asarray(measurements)
-        measurements[1] = np.ma.masked
-        kf = kf.em(measurements, n_iter=5)
-        (filtered_state_means, filtered_state_covariances) = kf.filter(measurements)
-        (smoothed_state_means, smoothed_state_covariances) = kf.smooth(measurements)
-        return filtered_state_means
-
-    def test_unscented_kalman(self):
-        ukf = UnscentedKalmanFilter(lambda x, w: x + np.sin(w), lambda x, v: x + v, transition_covariance=0.1)
-        (filtered_state_means, filtered_state_covariances) = ukf.filter([0, 1, 2])
-        (smoothed_state_means, smoothed_state_covariances) = ukf.smooth([0, 1, 2])
-        return filtered_state_means
-
-    def test_online_update(self):
-        kf = KalmanFilter(transition_matrices = [[1, 1], [0, 1]], observation_matrices = [[0.1, 0.5], [-0.3, 0.0]])
-        measurements = np.asarray([[1,0], [0,0], [0,1]])  # 3 observations
-        measurements = np.ma.asarray(measurements)
-        measurements[1] = np.ma.masked   # measurement at timestep 1 is unobserved
-        kf = kf.em(measurements, n_iter=5)
-        (filtered_state_means, filtered_state_covariances) = kf.filter(measurements)
-        for t in range(1, 3):
-            filtered_state_means[t], filtered_state_covariances[t] = \
-                kf.filter_update(filtered_state_means[t-1], filtered_state_covariances[t-1], measurements[t])
-        return filtered_state_means
-
-    def test_robust_sqrt(self):
-        kf = CholeskyKalmanFilter(transition_matrices = [[1, 1], [0, 1]], observation_matrices = [[0.1, 0.5], [-0.3, 0.0]])
-        ukf = AdditiveUnscentedKalmanFilter(lambda x, w: x + np.sin(w), lambda x, v: x + v, observation_covariance=0.1)
-        
diff --git a/tests/test_vaex.py b/tests/test_vaex.py
deleted file mode 100644
index b64061b0..00000000
--- a/tests/test_vaex.py
+++ /dev/null
@@ -1,10 +0,0 @@
-import unittest
-
-import vaex
-
-class TestVaex(unittest.TestCase):
-    def test_read_csv(self):
-        df = vaex.read_csv("/input/tests/data/train.csv")
-
-        self.assertEqual((100, 785), df.shape)
-        self.assertEqual(10, df['label'].nunique())
\ No newline at end of file
diff --git a/tests/test_vowpalwabbit.py b/tests/test_vowpalwabbit.py
deleted file mode 100644
index 839aed05..00000000
--- a/tests/test_vowpalwabbit.py
+++ /dev/null
@@ -1,10 +0,0 @@
-import unittest
-
-from vowpalwabbit import pyvw
-
-class TestVowpalwabbit(unittest.TestCase):
-    def test_basic(self):
-        vw = pyvw.vw(quiet=True)
-        ex = vw.example('1 | a b c')
-        vw.learn(ex)
-        self.assertGreater(vw.predict(ex), 0)

From 84e11f1aea7cfa43688950ec4d304e3e02050aa8 Mon Sep 17 00:00:00 2001
From: DJ <dster@google.com>
Date: Fri, 27 Sep 2024 15:18:55 -0600
Subject: [PATCH 1566/1660] Add nbdev (#1427)

---
 Dockerfile.tmpl     | 1 +
 tests/test_nbdev.py | 8 ++++++++
 2 files changed, 9 insertions(+)
 create mode 100644 tests/test_nbdev.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index c0037839..d3458df4 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -496,6 +496,7 @@ RUN rm -rf /opt/conda/lib/python3.10/site-packages/numpy* && \
         flask \
         # pycrypto is used by competitions team.
         pycryptodome \
+	nbdev \
         easyocr \
         onnx \
         tables \
diff --git a/tests/test_nbdev.py b/tests/test_nbdev.py
new file mode 100644
index 00000000..d5c6b484
--- /dev/null
+++ b/tests/test_nbdev.py
@@ -0,0 +1,8 @@
+import unittest
+
+import nbdev
+
+class TestNbdev(unittest.TestCase):
+    def test(self):
+        self.assertGreater(len(nbdev.__version__), 0)
+

From 556593c8e897e125b3af375b51916d2f8bdd2593 Mon Sep 17 00:00:00 2001
From: DJ <dster@google.com>
Date: Fri, 27 Sep 2024 15:19:03 -0600
Subject: [PATCH 1567/1660] Add hvplot (#1426)

Recreate of https://github.com/Kaggle/docker-python/pull/1424 which got
borked

This is a plotting library required to do plotting actions from the
popular `polars` library.
---
 Dockerfile.tmpl      | 1 +
 tests/test_polars.py | 9 +++++++--
 2 files changed, 8 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index d3458df4..44100f7e 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -484,6 +484,7 @@ RUN rm -rf /opt/conda/lib/python3.10/site-packages/numpy* && \
         s3fs \
         gcsfs \
         kaggle-environments \
+	hvplot \
         # geopandas > v0.14.4 breaks learn tools
         geopandas==v0.14.4 \
         "shapely<2" \
diff --git a/tests/test_polars.py b/tests/test_polars.py
index c81a0b80..8526bd29 100644
--- a/tests/test_polars.py
+++ b/tests/test_polars.py
@@ -2,9 +2,14 @@
 
 import polars as pl
 
-class TestPolars(unittest.TestCase):    
+class TestPolars(unittest.TestCase):
     def test_read_csv(self):
-        data = pl.read_csv("/input/tests/data/train.csv")
+        data = pl.read_csv('/input/tests/data/train.csv')
 
         self.assertEqual(100, len(data))
 
+    def test_plot(self):
+        # This relies on the hvplot package
+        data = pl.read_csv('/input/tests/data/train.csv')
+        data.plot.line()
+

From d6f04b1c5ae572a6b09555f7d42c8340dac8edcb Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Mon, 30 Sep 2024 13:31:14 -0700
Subject: [PATCH 1568/1660] Remove hvplot (#1429)

looks like hvplot isnt needed anymore with newest polars release.
let remove it from docker image
---
 Dockerfile.tmpl | 24 +++++++++---------------
 1 file changed, 9 insertions(+), 15 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 44100f7e..b58d26f2 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -274,8 +274,6 @@ RUN apt-get install -y git-lfs && \
     pip install xvfbwrapper && \
     /tmp/clean-layer.sh
 
-RUN rm -rf /opt/conda/lib/python3.10/site-packages/Shapely-1.8.5.post1.dist-info/
-
 RUN pip install mpld3 \
         gpxpy \
         arrow \
@@ -471,9 +469,8 @@ RUN pip install wandb \
         albumentations \
         Rtree \
         accelerate && \
-    apt-get -y install libspatialindex-dev
-
-RUN rm -rf /opt/conda/lib/python3.10/site-packages/numpy* && \
+        apt-get -y install libspatialindex-dev && \
+        rm -rf /opt/conda/lib/python3.10/site-packages/numpy* && \
     pip install "numpy==1.26.4" && \
     pip install pytorch-ignite \
         qgrid \
@@ -484,7 +481,6 @@ RUN rm -rf /opt/conda/lib/python3.10/site-packages/numpy* && \
         s3fs \
         gcsfs \
         kaggle-environments \
-	hvplot \
         # geopandas > v0.14.4 breaks learn tools
         geopandas==v0.14.4 \
         "shapely<2" \
@@ -497,7 +493,7 @@ RUN rm -rf /opt/conda/lib/python3.10/site-packages/numpy* && \
         flask \
         # pycrypto is used by competitions team.
         pycryptodome \
-	nbdev \
+        nbdev \
         easyocr \
         onnx \
         tables \
@@ -580,10 +576,9 @@ ADD patches/imagemagick-policy.xml /etc/ImageMagick-6/policy.xml
 # Add Kaggle module resolver
 ADD patches/kaggle_module_resolver.py /opt/conda/lib/python3.10/site-packages/tensorflow_hub/kaggle_module_resolver.py
 RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /opt/conda/lib/python3.10/site-packages/tensorflow_hub/config.py && \
-    sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' /opt/conda/lib/python3.10/site-packages/tensorflow_hub/config.py
-
-# Disable preloaded jupyter modules (they add to startup, and break when they are missing)
-RUN sed -i /bq_stats/d /etc/ipython/ipython_kernel_config.py && \
+    sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' /opt/conda/lib/python3.10/site-packages/tensorflow_hub/config.py && \
+    # Disable preloaded jupyter modules (they add to startup, and break when they are missing)
+    sed -i /bq_stats/d /etc/ipython/ipython_kernel_config.py && \
     sed -i /beatrix/d /etc/ipython/ipython_kernel_config.py && \
     sed -i /bigquery/d /etc/ipython/ipython_kernel_config.py && \
     sed -i /sql/d /etc/ipython/ipython_kernel_config.py
@@ -596,10 +591,9 @@ RUN ln -s /usr/local/cuda/lib64/libcusolver.so.11 /opt/conda/bin/../lib/libcusol
 {{ end }}
 
 # b/270147159: conda ships with a version of libtinfo which is missing version info causing warnings, replace it with a good version.
-RUN rm /opt/conda/lib/libtinfo.so.6 && ln -s /usr/lib/x86_64-linux-gnu/libtinfo.so.6 /opt/conda/lib/libtinfo.so.6
-
-# b/276358430: fix Jupyter lsp freezing up the jupyter server
-RUN pip install "jupyter-lsp==1.5.1"
+RUN rm /opt/conda/lib/libtinfo.so.6 && ln -s /usr/lib/x86_64-linux-gnu/libtinfo.so.6 /opt/conda/lib/libtinfo.so.6 && \
+    # b/276358430: fix Jupyter lsp freezing up the jupyter server
+    pip install "jupyter-lsp==1.5.1"
 
 # Set backend for matplotlib
 ENV MPLBACKEND="agg" \  

From 4e22769cbb4ee9a6a327d8097d4c2ac68984a35a Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Tue, 1 Oct 2024 23:01:52 -0700
Subject: [PATCH 1569/1660] Fix build due to numpy (#1430)

numpy 2.0 and greater is causing issues with handful of packages
---
 Dockerfile.tmpl      | 10 +++++++---
 tests/test_fastai.py |  7 +++++++
 tests/test_numpy.py  |  8 +++++++-
 3 files changed, 21 insertions(+), 4 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index b58d26f2..e4bde450 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -210,6 +210,8 @@ ADD patches/keras_internal.py \
 # b/350573866: xgboost v2.1.0 breaks learntools
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
+    rm -rf /opt/conda/lib/python3.10/site-packages/numpy* && \
+    pip install "numpy==1.26.4" && \
     pip install gensim \
         textblob \
         wordcloud \
@@ -425,8 +427,7 @@ RUN pip install bleach \
         webencodings \
         widgetsnbextension \
         # Require pyarrow newer than https://github.com/advisories/GHSA-5wvp-7f3h-6wmm
-        {{ if eq .Accelerator "gpu" }} pyarrow {{ else }} "pyarrow>=14.0.1" {{ end }} \
-        fastai
+        {{ if eq .Accelerator "gpu" }} pyarrow {{ else }} "pyarrow>=14.0.1" {{ end }} 
 
 RUN python -m spacy download en_core_web_sm && python -m spacy download en_core_web_lg && \
     apt-get update && apt-get install -y ffmpeg && \
@@ -470,7 +471,8 @@ RUN pip install wandb \
         Rtree \
         accelerate && \
         apt-get -y install libspatialindex-dev && \
-        rm -rf /opt/conda/lib/python3.10/site-packages/numpy* && \
+    # b/370860329: newer versions are not capable with current tensorflow
+    rm -rf /opt/conda/lib/python3.10/site-packages/numpy* && \
     pip install "numpy==1.26.4" && \
     pip install pytorch-ignite \
         qgrid \
@@ -501,6 +503,8 @@ RUN pip install wandb \
         timm \
         torchinfo && \
     pip install git+https://github.com/facebookresearch/segment-anything.git && \
+    # b/370860329: newer versions are not capable with current tensorflow
+    pip install --no-dependencies fastai fastdownload && \
     # b/343971718: remove duplicate aiohttp installs, and reinstall it
     rm -rf /opt/conda/lib/python3.10/site-packages/aiohttp* && \
     mamba install --force-reinstall -y aiohttp && \
diff --git a/tests/test_fastai.py b/tests/test_fastai.py
index edfd402e..0de1f82f 100644
--- a/tests/test_fastai.py
+++ b/tests/test_fastai.py
@@ -5,6 +5,13 @@
 from fastai.tabular.all import *
 
 class TestFastAI(unittest.TestCase):
+    # Basic import
+    def test_basic(self):
+        import fastai
+        import fastcore
+        import fastprogress
+        import fastdownload
+
     def test_has_version(self):
         self.assertGreater(len(fastai.__version__), 2)
     
diff --git a/tests/test_numpy.py b/tests/test_numpy.py
index 18f74b8c..071c3d30 100644
--- a/tests/test_numpy.py
+++ b/tests/test_numpy.py
@@ -1,9 +1,15 @@
 import unittest
 
+from distutils.version import StrictVersion
+
 import numpy as np
 from numpy.distutils.system_info import get_info
 
-class TestNumpy(unittest.TestCase):    
+class TestNumpy(unittest.TestCase):   
+    def test_version(self):
+        # b/370860329: newer versions are not capable with current tensorflow
+        self.assertEqual(StrictVersion(np.__version__), StrictVersion("1.26.4")) 
+
     def test_array(self):
         array = np.array([1, 3])
 

From 34427a248a3703ad28292534774d3a5d86ca116a Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Fri, 4 Oct 2024 13:39:23 -0400
Subject: [PATCH 1570/1660] Migrate to micromamba (#1431)

http://b/358349812
---
 Dockerfile.tmpl | 29 +++++++++++++++++------------
 1 file changed, 17 insertions(+), 12 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index e4bde450..11b05ebd 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -81,17 +81,23 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
 # b/128333086: Set PROJ_DATA to points to the proj4 cartographic library.
 ENV PROJ_DATA=/opt/conda/share/proj
 
+# Install micromamba, setup channels, and replace conda with micromamba
+ENV MAMBA_ROOT_PREFIX=/opt/conda
+RUN curl -L "https://micro.mamba.pm/install.sh" -o /tmp/micromamba-install.sh \
+    && bash /tmp/micromamba-install.sh \
+    && rm /tmp/micromamba-install.sh \
+    && mv ~/.local/bin/micromamba /usr/bin/micromamba \
+    && (!(which conda) || cp /usr/bin/micromamba $(which conda)) \
+    && micromamba config append channels nvidia \
+    && micromamba config append channels rapidsai \
+    && micromamba config append channels conda-forge \
+    && micromamba config set channel_priority flexible \
+    && python -m nb_conda_kernels.install --disable
+
 # Install conda packages not available on pip.
 # When using pip in a conda environment, conda commands should be ran first and then
 # the remaining pip commands: https://www.anaconda.com/using-pip-in-a-conda-environment/
-RUN conda config --add channels nvidia && \
-    conda config --add channels rapidsai && \
-    conda config --set solver libmamba && \
-    # b/299991198: remove curl/libcurl install once DLVM base image includes version >= 7.86
-    conda install -c conda-forge mamba curl libcurl && \
-    # Base image channel order: conda-forge (highest priority), defaults.
-    # End state: rapidsai (highest priority), nvidia, conda-forge, defaults.
-    mamba install -y mkl cartopy imagemagick pyproj "shapely<2" && \
+RUN micromamba install -y mkl cartopy imagemagick pyproj "shapely<2" && \
     rm -rf /opt/conda/lib/python3.10/site-packages/pyproj/proj_dir/ && \
     /tmp/clean-layer.sh
 
@@ -100,8 +106,7 @@ RUN conda config --add channels nvidia && \
 # b/341938540: unistall grpc-cpp to allow >=v24.4 cudf and cuml to be installed.
 {{ if eq .Accelerator "gpu" }}
 RUN pip uninstall -y pyarrow && \
-    mamba remove -y --force grpc-cpp && \
-    mamba install -y -c conda-forge spacy cudf>=24.4 cuml>=24.4 cupy cuda-version=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION && \
+    micromamba install -vvvy spacy "cudf>=24.4" "cuml>=24.4" cupy cuda-version=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION && \
     /tmp/clean-layer.sh
 {{ else }}
 RUN pip install spacy && \
@@ -114,7 +119,7 @@ RUN pip install spacy && \
 COPY --from=torch_whl /tmp/whl/*.whl /tmp/torch/
 # b/356397043: We are currently using cuda 12.3,
 # but magma-cuda121 is the latest compatible version 
-RUN mamba install -y -c pytorch magma-cuda121 && \
+RUN micromamba install -y -c pytorch magma-cuda121 && \
     pip install /tmp/torch/*.whl && \
     sudo apt -y install libsox-dev && \
     rm -rf /tmp/torch && \
@@ -507,7 +512,7 @@ RUN pip install wandb \
     pip install --no-dependencies fastai fastdownload && \
     # b/343971718: remove duplicate aiohttp installs, and reinstall it
     rm -rf /opt/conda/lib/python3.10/site-packages/aiohttp* && \
-    mamba install --force-reinstall -y aiohttp && \
+    micromamba install --force-reinstall -y aiohttp && \
     /tmp/clean-layer.sh
 
 # Download base easyocr models.

From 99374cb4db0fa47defc39de1facc9212a965a618 Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Mon, 25 Nov 2024 15:04:39 -0800
Subject: [PATCH 1571/1660] Fix Kagglehub test and Remove multiple version
 matplotlib files (#1441)

fixing main build.
- kagglehub login changes required updating our tests
- latest matplotlib is needed by handful of package, but breaks
learntools. i provided a workaround
---
 Dockerfile.tmpl         | 39 +++++++++++++++++++++------------------
 tests/test_kagglehub.py | 10 ++++++----
 2 files changed, 27 insertions(+), 22 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 11b05ebd..ad6842ea 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -167,28 +167,12 @@ RUN pip install jax[cpu] && \
 RUN export PATH=/usr/local/cuda/bin:$PATH && \
     export CUDA_ROOT=/usr/local/cuda && \
     pip install pycuda \
-        pynvrtc \
+        # TODO(379932879): pip resolver fails when not specified.
+        pynvrtc==9.2 \
         pynvml && \
     /tmp/clean-layer.sh
 {{ end }}
 
-# b/308525631: Pin Matplotlib until seaborn can be upgraded
-# to >0.13.0 (now it's stuck by a package conflict with ydata-profiling 4.5.1).
-RUN JAXVER=$(pip freeze | grep -e "^jax==") && \
-    pip install --upgrade \
-        "matplotlib<3.8.0" \
-        # ipympl adds interactive widget support for matplotlib
-        ipympl==0.7.0 \
-        "seaborn==0.12.2" \
-        pyupset \
-        python-dateutil dask dask-expr igraph \
-        pyyaml joblib geopy mne pyshp \
-        pandas \
-        polars \
-        flax \
-        "${JAXVER}" && \
-    /tmp/clean-layer.sh
-
 RUN apt-get update && \
     apt-get install -y default-jre && \
     /tmp/clean-layer.sh
@@ -543,11 +527,30 @@ ENV TESSERACT_PATH=/usr/bin/tesseract \
     # For Theano with MKL
     MKL_THREADING_LAYER=GNU
 
+# b/308525631: Pin Matplotlib until seaborn can be upgraded
+# to >0.13.0 (now it's stuck by a package conflict with ydata-profiling 4.5.1).
+RUN JAXVER=$(pip freeze | grep -e "^jax==") && \
+    pip install --upgrade \
+        "matplotlib==3.7.5" \
+        # ipympl adds interactive widget support for matplotlib
+        ipympl==0.7.0 \
+        "seaborn==0.12.2" \
+        pyupset \
+        python-dateutil dask dask-expr igraph \
+        pyyaml joblib geopy mne pyshp \
+        pandas \
+        polars \
+        flax \
+        "${JAXVER}" && \
+    /tmp/clean-layer.sh
+
 # Temporary fixes and patches
 # Temporary patch for Dask getting downgraded, which breaks Keras
 RUN pip install --upgrade dask && \
     # Stop jupyter nbconvert trying to rewrite its folder hierarchy
     mkdir -p /root/.jupyter && touch /root/.jupyter/jupyter_nbconvert_config.py && touch /root/.jupyter/migrated && \
+    # TODO(b/380921973): Ensure only matplotlib 3.7.5 files are present.
+    rm -r /opt/conda/lib/python3.10/site-packages/matplotlib-3.9.2.dist-info/ && \
     mkdir -p /.jupyter && touch /.jupyter/jupyter_nbconvert_config.py && touch /.jupyter/migrated && \
     # Stop Matplotlib printing junk to the console on first load
     sed -i "s/^.*Matplotlib is building the font cache using fc-list.*$/# Warning removed by Kaggle/g" /opt/conda/lib/python3.10/site-packages/matplotlib/font_manager.py && \
diff --git a/tests/test_kagglehub.py b/tests/test_kagglehub.py
index 37b11248..f2c3e2a6 100644
--- a/tests/test_kagglehub.py
+++ b/tests/test_kagglehub.py
@@ -8,8 +8,10 @@ class TestKagglehub(unittest.TestCase):
     def test_login(self):
         with self.assertLogs('kagglehub', level='INFO') as l:
             with mock.patch("builtins.input") as mock_input:
-                mock_input.side_effect = ["lastplacelarry", "some-key"]
-                # Disabling credentials validation since network access is disabled in unittest.
-                kagglehub.login(validate_credentials=False)
+                with mock.patch("getpass.getpass") as mock_getpass:
+                    mock_input.side_effect = ["lastplacelarry"]
+                    mock_getpass.return_value = "some-key"
 
-                self.assertIn("credentials set", l.output[0])
+                    kagglehub.login(validate_credentials=False)
+
+                    self.assertIn("credentials set", l.output[0])

From 03c832e6abf7ae017f4d3eef542658681e3cfa0a Mon Sep 17 00:00:00 2001
From: Michael Aaron <develra@users.noreply.github.com>
Date: Tue, 26 Nov 2024 09:30:45 -0700
Subject: [PATCH 1572/1660] Upgrade Ipywidgets to 8.1.5 (#1440)

I think this will break qgrid fwiw, unsure how often that is used.

---------

Co-authored-by: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Co-authored-by: Jonathan Calderon Chavez <chavezcalderon@google.com>
---
 Dockerfile.tmpl     |  4 +---
 tests/test_qgrid.py | 16 ----------------
 2 files changed, 1 insertion(+), 19 deletions(-)
 delete mode 100644 tests/test_qgrid.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index ad6842ea..f3193876 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -374,8 +374,7 @@ RUN pip install bleach \
         ipykernel \
         ipython \
         ipython-genutils \
-        # Fix qgrid by pinning ipywidgets https://github.com/quantopian/qgrid/issues/376
-        ipywidgets==7.7.1 \
+        ipywidgets==8.1.5 \
         isoweek \
         jedi \
         jsonschema \
@@ -464,7 +463,6 @@ RUN pip install wandb \
     rm -rf /opt/conda/lib/python3.10/site-packages/numpy* && \
     pip install "numpy==1.26.4" && \
     pip install pytorch-ignite \
-        qgrid \
         bqplot \
         earthengine-api \
         transformers \
diff --git a/tests/test_qgrid.py b/tests/test_qgrid.py
deleted file mode 100644
index e97ef2a1..00000000
--- a/tests/test_qgrid.py
+++ /dev/null
@@ -1,16 +0,0 @@
-import unittest
-
-import numpy as np
-import pandas as pd
-
-from qgrid import QgridWidget
-
-
-class TestQgrid(unittest.TestCase):
-    def test_nans(self):
-        df = pd.DataFrame([(pd.Timestamp('2017-02-02'), np.nan),
-                           (4, 2),
-                           ('foo', 'bar')])
-        view = QgridWidget(df=df)
-        
-        self.assertIsNotNone(view.get_changed_df())

From 66bac486a2c52eabeeca83dd8540cc7af43e08e6 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 27 Nov 2024 17:05:29 -0500
Subject: [PATCH 1573/1660] Use Colab as a base image. (#1444)

This change makes a number of major changes:
- Colab is the base image
- uv is the main package install tool
- leveraging requirements.txt instead of many separate installs
- stop building and installing tensorflow/torch/lightbgm/jax since those
are managed by the Colab base image now

In order to decide what packages to explicitly install I:
- looked at what packages are in the Colab base image
- looked at what packages were in the Kaggle image
- looked at what packages were explicitly mentioned in Kaggle Dockerfile

This may still take a few iterations to get all the right parts in the
image, but this should hopefully make the image much more manageable.

http://b/365782129
---
 Dockerfile.tmpl         | 594 +++++-----------------------------------
 Jenkinsfile             |  60 ----
 clean-layer.sh          |   4 +-
 config.txt              |  11 +-
 kaggle_requirements.txt | 139 ++++++++++
 test                    |   8 +-
 tests/test_cuml.py      |   1 +
 tests/test_fastai.py    |   7 +-
 tests/test_lightgbm.py  |   2 +
 9 files changed, 228 insertions(+), 598 deletions(-)
 create mode 100644 kaggle_requirements.txt

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index f3193876..d6bc3f9b 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -1,66 +1,58 @@
-ARG BASE_IMAGE_REPO \
-    BASE_IMAGE_TAG \
-    CPU_BASE_IMAGE_NAME \
-    GPU_BASE_IMAGE_NAME \
-    LIGHTGBM_VERSION \
-    TORCH_VERSION \
-    TORCHAUDIO_VERSION \
-    TORCHVISION_VERSION \
-    JAX_VERSION
+FROM us-docker.pkg.dev/colab-images/public/runtime:latest
 
-{{ if eq .Accelerator "gpu" }}
-FROM gcr.io/kaggle-images/python-lightgbm-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${LIGHTGBM_VERSION} AS lightgbm_whl
-FROM gcr.io/kaggle-images/python-torch-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${TORCH_VERSION} AS torch_whl
-FROM gcr.io/kaggle-images/python-jaxlib-whl:${GPU_BASE_IMAGE_NAME}-${BASE_IMAGE_TAG}-${JAX_VERSION} AS jaxlib_whl
-FROM ${BASE_IMAGE_REPO}/${GPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
-{{ else }}
-FROM ${BASE_IMAGE_REPO}/${CPU_BASE_IMAGE_NAME}:${BASE_IMAGE_TAG}
-{{ end }}
+ADD kaggle_requirements.txt /kaggle_requirements.txt
+
+# Freeze existing requirements from base image for critical packages:
+RUN pip freeze | grep -E 'tensorflow|keras|torch|jax|lightgbm' > /colab_requirements.txt
+
+# Merge requirements files:
+RUN cat /colab_requirements.txt >> /requirements.txt
+RUN cat /kaggle_requirements.txt >> /requirements.txt
+
+# TODO: GPU requirements.txt
+# TODO: merge them better (override matching ones).
 
-# Ensures shared libraries installed with conda can be found by the dynamic link loader.
-ENV LIBRARY_PATH="$LIBRARY_PATH:/opt/conda/lib" \
-    LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/opt/conda/lib"
+# Install uv & Kaggle packages
+RUN curl -LsSf https://astral.sh/uv/install.sh | sh
+RUN export PATH="${HOME}/.local/bin:${PATH}" && uv pip install --system -r /requirements.txt
+ENV PATH="~/.local/bin:${PATH}"
 
+# Install manual packages:
+# b/183041606#comment5: the Kaggle data proxy doesn't support these APIs. If the library is missing, it falls back to using a regular BigQuery query to fetch data.
+RUN uv pip uninstall --system google-cloud-bigquery-storage
+
+# NOTE(herbison): uv fails to install this for some reason
+RUN pip install git+https://github.com/Kaggle/learntools
+
+# We install an incompatible pair of libs (shapely<, libpysal==4.9.2) so we can't put this one in the requirements.txt
+RUN uv pip install --system  "libpysal==4.9.2"
+
+# Adding non-package dependencies:
+
+ADD clean-layer.sh  /tmp/clean-layer.sh
+ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
+ADD patches/template_conf.json /opt/kaggle/conf.json
+
+# /opt/conda/lib/python3.10/site-packages
+ARG PACKAGE_PATH=/usr/local/lib/python3.10/dist-packages
+
+# Install GPU-specific non-pip packages.
 {{ if eq .Accelerator "gpu" }}
 ARG CUDA_MAJOR_VERSION \
     CUDA_MINOR_VERSION
 ENV CUDA_MAJOR_VERSION=${CUDA_MAJOR_VERSION} \
     CUDA_MINOR_VERSION=${CUDA_MINOR_VERSION}
+
 # Make sure we are on the right version of CUDA
 RUN update-alternatives --set cuda /usr/local/cuda-$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION
-# NVIDIA binaries from the host are mounted to /opt/bin.
-ENV PATH=/opt/bin:${PATH} \
-    # Add CUDA stubs to LD_LIBRARY_PATH to support building the GPU image on a CPU machine.
-    LD_LIBRARY_PATH_NO_STUBS="$LD_LIBRARY_PATH" \
-    LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64/stubs"
-RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1
-{{ end }}
 
-# Keep these variables in sync if base image is updated.
-ENV TENSORFLOW_VERSION=2.16.1 \
-    # See https://github.com/tensorflow/io#tensorflow-version-compatibility
-    TENSORFLOW_IO_VERSION=0.37.0
-
-# We need to redefine the ARG here to get the ARG value defined above the FROM instruction.
-# See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
-ARG LIGHTGBM_VERSION \
-    TORCH_VERSION \
-    TORCHAUDIO_VERSION \
-    TORCHVISION_VERSION \
-    JAX_VERSION
-
-# Disable pesky logs like: KMP_AFFINITY: pid 6121 tid 6121 thread 0 bound to OS proc set 0
-# See: https://stackoverflow.com/questions/57385766/disable-tensorflow-log-information
-ENV KMP_WARNINGS=0 \
-    # Also make the KMP logs noverbose.
-    # https://stackoverflow.com/questions/70250304/stop-tensorflow-from-printing-warning-message
-    KMP_SETTINGS=false \
-    # Remove the pip as the root user warning.
-    PIP_ROOT_USER_ACTION=ignore
+RUN uv pip install --system "pycuda"
+
+# Remove CUDA_VERSION from non-GPU image.
+{{ else }}
+ENV CUDA_VERSION=""
+{{ end }}
 
-ADD clean-layer.sh  /tmp/clean-layer.sh
-ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
-ADD patches/template_conf.json /opt/kaggle/conf.json
 
 # Update GPG key per documentation at https://cloud.google.com/compute/docs/troubleshooting/known-issues
 RUN curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key add -
@@ -78,141 +70,18 @@ RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list &
     apt-get install -y graphviz && pip install graphviz && \
     /tmp/clean-layer.sh
 
-# b/128333086: Set PROJ_DATA to points to the proj4 cartographic library.
-ENV PROJ_DATA=/opt/conda/share/proj
-
-# Install micromamba, setup channels, and replace conda with micromamba
-ENV MAMBA_ROOT_PREFIX=/opt/conda
-RUN curl -L "https://micro.mamba.pm/install.sh" -o /tmp/micromamba-install.sh \
-    && bash /tmp/micromamba-install.sh \
-    && rm /tmp/micromamba-install.sh \
-    && mv ~/.local/bin/micromamba /usr/bin/micromamba \
-    && (!(which conda) || cp /usr/bin/micromamba $(which conda)) \
-    && micromamba config append channels nvidia \
-    && micromamba config append channels rapidsai \
-    && micromamba config append channels conda-forge \
-    && micromamba config set channel_priority flexible \
-    && python -m nb_conda_kernels.install --disable
-
-# Install conda packages not available on pip.
-# When using pip in a conda environment, conda commands should be ran first and then
-# the remaining pip commands: https://www.anaconda.com/using-pip-in-a-conda-environment/
-RUN micromamba install -y mkl cartopy imagemagick pyproj "shapely<2" && \
-    rm -rf /opt/conda/lib/python3.10/site-packages/pyproj/proj_dir/ && \
-    /tmp/clean-layer.sh
-
-# Install spacy
-# b/232247930: uninstall pyarrow to avoid double installation with the GPU specific version.
-# b/341938540: unistall grpc-cpp to allow >=v24.4 cudf and cuml to be installed.
-{{ if eq .Accelerator "gpu" }}
-RUN pip uninstall -y pyarrow && \
-    micromamba install -vvvy spacy "cudf>=24.4" "cuml>=24.4" cupy cuda-version=$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION && \
-    /tmp/clean-layer.sh
-{{ else }}
-RUN pip install spacy && \
-    /tmp/clean-layer.sh
-{{ end}}
-
-# Install PyTorch
-# b/356397043: magma-cuda121 is the latest version
-{{ if eq .Accelerator "gpu" }}
-COPY --from=torch_whl /tmp/whl/*.whl /tmp/torch/
-# b/356397043: We are currently using cuda 12.3,
-# but magma-cuda121 is the latest compatible version 
-RUN micromamba install -y -c pytorch magma-cuda121 && \
-    pip install /tmp/torch/*.whl && \
-    sudo apt -y install libsox-dev && \
-    rm -rf /tmp/torch && \
-    /tmp/clean-layer.sh
-{{ else }}
-RUN pip install \
-        torch==$TORCH_VERSION+cpu \
-        torchvision==$TORCHVISION_VERSION+cpu \
-        torchaudio==$TORCHAUDIO_VERSION+cpu \
-        --index-url https://download.pytorch.org/whl/cpu && \
-    /tmp/clean-layer.sh
-{{ end }}
-
-# Install LightGBM
-{{ if eq .Accelerator "gpu" }}
-COPY --from=lightgbm_whl /tmp/whl/*.whl /tmp/lightgbm/
-# Install OpenCL (required by LightGBM GPU version)
-RUN apt-get install -y ocl-icd-libopencl1 clinfo && \
-    mkdir -p /etc/OpenCL/vendors && \
-    echo "libnvidia-opencl.so.1" > /etc/OpenCL/vendors/nvidia.icd && \
-    pip install /tmp/lightgbm/*.whl && \
-    rm -rf /tmp/lightgbm && \
-    /tmp/clean-layer.sh
-{{ else }}
-RUN pip install lightgbm==$LIGHTGBM_VERSION && \
-    /tmp/clean-layer.sh
-{{ end }}
-
-# Install JAX
-{{ if eq .Accelerator "gpu" }}
-COPY --from=jaxlib_whl /tmp/whl/*.whl /tmp/jax/
-# b/319722433#comment9: Use pip wheels once versions matches our CUDA version.
-RUN pip install /tmp/jax/*.whl jax==$JAX_VERSION && \
-    /tmp/clean-layer.sh
-{{ else }}
-RUN pip install jax[cpu] && \
-    /tmp/clean-layer.sh
-{{ end }}
-
-
-# Install GPU specific packages
-{{ if eq .Accelerator "gpu" }}
-# Install GPU-only packages
-# No specific package for nnabla-ext-cuda 12.x minor versions.
-RUN export PATH=/usr/local/cuda/bin:$PATH && \
-    export CUDA_ROOT=/usr/local/cuda && \
-    pip install pycuda \
-        # TODO(379932879): pip resolver fails when not specified.
-        pynvrtc==9.2 \
-        pynvml && \
-    /tmp/clean-layer.sh
-{{ end }}
-
-RUN apt-get update && \
-    apt-get install -y default-jre && \
-    /tmp/clean-layer.sh
-
-RUN pip install -f http://h2o-release.s3.amazonaws.com/h2o/latest_stable_Py.html h2o && /tmp/clean-layer.sh
-
-RUN pip install \
-        "tensorflow==${TENSORFLOW_VERSION}" \
-        "tensorflow-io==${TENSORFLOW_IO_VERSION}" \
-        tensorflow-probability \
-        tensorflow_decision_forests \
-        tensorflow-text \
-        "tensorflow_hub>=0.16.0" \
-        tf-keras \
-        "keras>3" \
-        keras-cv \
-        keras-nlp && \
-    /tmp/clean-layer.sh
-
 ADD patches/keras_internal.py \
     patches/keras_internal_test.py \
-    /opt/conda/lib/python3.10/site-packages/tensorflow_decision_forests/keras/
+    $PACKAGE_PATH/tensorflow_decision_forests/keras/
 
-# b/350573866: xgboost v2.1.0 breaks learntools
 RUN apt-get install -y libfreetype6-dev && \
-    apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
-    rm -rf /opt/conda/lib/python3.10/site-packages/numpy* && \
-    pip install "numpy==1.26.4" && \
-    pip install gensim \
-        textblob \
-        wordcloud \
-        "xgboost==2.0.3" \
-        pydot \
-        hep_ml && \
-    # NLTK Project datasets
-    mkdir -p /usr/share/nltk_data && \
+    apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing
+
+# NLTK Project datasets
+RUN mkdir -p /usr/share/nltk_data && \
     # NLTK Downloader no longer continues smoothly after an error, so we explicitly list
     # the corpuses that work
-    # "yes | ..." answers yes to the retry prompt in case of an error. See b/133762095.
-    yes | python -m nltk.downloader -d /usr/share/nltk_data abc alpino averaged_perceptron_tagger \
+    python -m nltk.downloader -d /usr/share/nltk_data abc alpino averaged_perceptron_tagger \
     basque_grammars biocreative_ppi bllip_wsj_no_aux \
     book_grammars brown brown_tei cess_cat cess_esp chat80 city_database cmudict \
     comtrans conll2000 conll2002 conll2007 crubadan dependency_treebank \
@@ -225,276 +94,13 @@ RUN apt-get install -y libfreetype6-dev && \
     sentiwordnet shakespeare sinica_treebank smultron snowball_data spanish_grammars \
     state_union stopwords subjectivity swadesh switchboard tagsets timit toolbox treebank \
     twitter_samples udhr2 udhr unicode_samples universal_tagset universal_treebanks_v20 \
-    vader_lexicon verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe && \
-    pip install scikit-image && \
-    pip install opencv-contrib-python opencv-python && \
-    /tmp/clean-layer.sh
-
-RUN pip install cython \
-        fasttext \
-        opencv-contrib-python \
-        opencv-python \
-        "scipy<1.14.0" \
-        # Scikit-learn accelerated library for x86
-        "scikit-learn-intelex>=2023.0.1" \
-        # HDF5 support
-        h5py \
-        # PUDB, for local debugging convenience
-        pudb \
-        imbalanced-learn \
-        # Profiling and other utilities
-        line_profiler \
-        bokeh \
-        numba \
-        datashader \
-        # b/328788268: libpysal 4.10 seems to fail with "module 'shapely' has no attribute 'Geometry'. Did you mean: 'geometry'"
-        "libpysal==4.9.2" \
-        # b/276344496: Install specific version of boto3, because 1.26.103 is broken.
-        "boto3==1.26.100" \
-        Boruta && \
-    # Pandoc is a dependency of deap
-    apt-get install -y pandoc && \
-    /tmp/clean-layer.sh
+    vader_lexicon verbnet webtext word2vec_sample wordnet wordnet_ic words ycoe
 
 RUN apt-get install -y git-lfs && \
-    # vtk with dependencies
+    # vtk dependencies
     apt-get install -y libgl1-mesa-glx && \
-    pip install vtk && \
-    # xvfbwrapper with dependencies
+    # xvfbwrapper dependencies
     apt-get install -y xvfb && \
-    pip install xvfbwrapper && \
-    /tmp/clean-layer.sh
-
-RUN pip install mpld3 \
-        gpxpy \
-        arrow \
-        nilearn \
-        nibabel \
-        imgaug \
-        preprocessing \
-        path.py && \
-    pip install deap \
-        # b/302136621: Fix eli5 import for learntools, newer version require scikit-learn > 1.3
-        "tpot==0.12.1" \
-        scikit-optimize \
-        haversine \
-        toolz cytoolz \
-        plotly \
-        hyperopt \
-        langid \
-        # Useful data exploration libraries (for missing data and generating reports)
-        missingno \
-        pandas-profiling \
-        bayesian-optimization \
-        matplotlib-venn \
-        pyldavis \
-        mlxtend \
-        altair \
-        ImageHash \
-        ecos \
-        CVXcanon \
-        pymc3 \
-        tifffile \
-        geojson \
-        pydicom \
-        wavio \
-        SimpleITK \
-        squarify \
-        fuzzywuzzy \
-        python-louvain \
-        pyexcel-ods \
-        sklearn-pandas \
-        prophet \
-        holidays \
-        holoviews \
-        scikit-multilearn \
-        leven \
-        catboost \
-        folium \
-        scikit-plot \
-        fury dipy \
-        plotnine \
-        scikit-surprise \
-        pymongo \
-        eli5 \
-        kaggle \
-        kagglehub \
-        google-generativeai \
-        pytest && \
-    /tmp/clean-layer.sh
-
- # Add google PAIR-code Facets
-RUN cd /opt/ && git clone https://github.com/PAIR-code/facets && cd facets/ && jupyter nbextension install facets-dist/ --user && \
-    export PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/ && \
-    pip install librosa \
-        sentencepiece \
-        cufflinks \
-        lime \
-        memory_profiler && \
-    /tmp/clean-layer.sh
-
-RUN pip install annoy \
-        category_encoders && \
-    # b/183041606#comment5: the Kaggle data proxy doesn't support these APIs. If the library is missing, it falls back to using a regular BigQuery query to fetch data.
-    pip uninstall -y google-cloud-bigquery-storage && \
-    # google-cloud-automl 2.0.0 introduced incompatible API changes, need to pin to 1.0.1
-    # After launch this should be installed from pip
-    pip install git+https://github.com/googleapis/python-aiplatform.git@mb-release \
-        google-cloud-automl==1.0.1 \
-        google-api-core==1.33.2 \
-        google-cloud-bigquery \
-        google-cloud-storage && \
-    # Split these installations to avoid `pip._vendor.resolvelib.resolvers.ResolutionTooDeep: 200000`
-    # b/315753846: Unpin translate package.
-    pip install google-cloud-translate==3.12.1 \
-        google-cloud-language==2.* \
-        google-cloud-videointelligence==2.* \
-        google-cloud-vision==2.* \
-        protobuf==3.20.3 \
-        # Pandas data reader
-        pandas-datareader \
-        emoji \
-        # Add Japanese morphological analysis engine
-        janome \
-        # yellowbrick machine learning visualization library
-        yellowbrick \
-        mlcrate && \
-    /tmp/clean-layer.sh
-
-# b/273059949: The pre-installed nbconvert is slow on html conversions and has to be force-uninstalled.
-# b/274619697: learntools also requires a specific nbconvert right now
-RUN rm -rf /opt/conda/lib/python3.10/site-packages/{nbconvert,nbclient,mistune,platformdirs}*
-
-RUN pip install bleach \
-        certifi \
-        cycler \
-        decorator \
-        entrypoints \
-        html5lib \
-        ipykernel \
-        ipython \
-        ipython-genutils \
-        ipywidgets==8.1.5 \
-        isoweek \
-        jedi \
-        jsonschema \
-        jupyter-client \
-        jupyter-console \
-        jupyter-core \
-        jupyterlab-lsp \
-        MarkupSafe \
-        mistune \
-        nbformat \
-        notebook \
-        "nbconvert==6.4.5" \
-        papermill \
-        python-lsp-server[all] \
-        olefile \
-        kornia \
-        pandas_summary \
-        pandocfilters \
-        pexpect \
-        pickleshare \
-        Pillow && \
-    # Install openslide and its python binding
-    apt-get install -y openslide-tools && \
-    pip install openslide-python \
-        ptyprocess \
-        Pygments \
-        pyparsing \
-        pytz \
-        PyYAML \
-        pyzmq \
-        qtconsole \
-        six \
-        terminado \
-        tornado \
-        tqdm \
-        traitlets \
-        wcwidth \
-        webencodings \
-        widgetsnbextension \
-        # Require pyarrow newer than https://github.com/advisories/GHSA-5wvp-7f3h-6wmm
-        {{ if eq .Accelerator "gpu" }} pyarrow {{ else }} "pyarrow>=14.0.1" {{ end }} 
-
-RUN python -m spacy download en_core_web_sm && python -m spacy download en_core_web_lg && \
-    apt-get update && apt-get install -y ffmpeg && \
-    /tmp/clean-layer.sh
-
-    ###########
-    #
-    #      NEW CONTRIBUTORS:
-    # Please add new pip/apt installs in this block. Don't forget a "&& \" at the end
-    # of all non-final lines. Thanks!
-    #
-    ###########
-
-RUN rm /opt/conda/lib/python3.10/site-packages/google*/direct_url.json && \
-    rm /opt/conda/lib/python3.10/site-packages/google*/REQUESTED
-# dlib has a libmkl incompatibility:
-# test_dlib_face_detector (test_dlib.TestDLib) ... INTEL MKL ERROR: /opt/conda/bin/../lib/libmkl_avx512.so.2: undefined symbol: mkl_sparse_optimize_bsr_trsm_i8.
-# Intel MKL FATAL ERROR: Cannot load libmkl_avx512.so.2 or libmkl_def.so.2.
-# nnabla breaks protobuf compatibiilty:
-RUN pip install wandb \
-        pyemd \
-        pympler \
-        featuretools \
-        #-e git+https://github.com/SohierDane/BigQuery_Helper#egg=bq_helper \
-        git+https://github.com/Kaggle/learntools \
-        ray \
-        gym \
-        pyarabic \
-        pandasql \
-	    # b/302136621: Fix eli5 import for learntools
-        scikit-learn==1.2.2 \
-	    # b/329869023 shap 0.45.0 breaks learntools
-        shap==0.44.1 \
-        cesium \
-        rgf_python \
-        jieba  \
-        tsfresh \
-        optuna \
-        plotly_express \
-        albumentations \
-        Rtree \
-        accelerate && \
-        apt-get -y install libspatialindex-dev && \
-    # b/370860329: newer versions are not capable with current tensorflow
-    rm -rf /opt/conda/lib/python3.10/site-packages/numpy* && \
-    pip install "numpy==1.26.4" && \
-    pip install pytorch-ignite \
-        bqplot \
-        earthengine-api \
-        transformers \
-        datasets \
-        s3fs \
-        gcsfs \
-        kaggle-environments \
-        # geopandas > v0.14.4 breaks learn tools
-        geopandas==v0.14.4 \
-        "shapely<2" \
-        pydub \
-        pydegensac \
-        torchmetrics \
-        pytorch-lightning \
-        sympy \
-        # flask is used by agents in the simulation competitions.
-        flask \
-        # pycrypto is used by competitions team.
-        pycryptodome \
-        nbdev \
-        easyocr \
-        onnx \
-        tables \
-        openpyxl \
-        timm \
-        torchinfo && \
-    pip install git+https://github.com/facebookresearch/segment-anything.git && \
-    # b/370860329: newer versions are not capable with current tensorflow
-    pip install --no-dependencies fastai fastdownload && \
-    # b/343971718: remove duplicate aiohttp installs, and reinstall it
-    rm -rf /opt/conda/lib/python3.10/site-packages/aiohttp* && \
-    micromamba install --force-reinstall -y aiohttp && \
     /tmp/clean-layer.sh
 
 # Download base easyocr models.
@@ -512,12 +118,7 @@ RUN mkdir -p /root/.EasyOCR/model && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages
-RUN apt-get install tesseract-ocr -y && \
-    pip install pytesseract \
-        wand \
-        pdf2image \
-        PyPDF && \
-    /tmp/clean-layer.sh
+RUN apt-get install tesseract-ocr -y
 
 ENV TESSERACT_PATH=/usr/bin/tesseract \
     # For Facets
@@ -525,39 +126,12 @@ ENV TESSERACT_PATH=/usr/bin/tesseract \
     # For Theano with MKL
     MKL_THREADING_LAYER=GNU
 
-# b/308525631: Pin Matplotlib until seaborn can be upgraded
-# to >0.13.0 (now it's stuck by a package conflict with ydata-profiling 4.5.1).
-RUN JAXVER=$(pip freeze | grep -e "^jax==") && \
-    pip install --upgrade \
-        "matplotlib==3.7.5" \
-        # ipympl adds interactive widget support for matplotlib
-        ipympl==0.7.0 \
-        "seaborn==0.12.2" \
-        pyupset \
-        python-dateutil dask dask-expr igraph \
-        pyyaml joblib geopy mne pyshp \
-        pandas \
-        polars \
-        flax \
-        "${JAXVER}" && \
-    /tmp/clean-layer.sh
-
 # Temporary fixes and patches
-# Temporary patch for Dask getting downgraded, which breaks Keras
-RUN pip install --upgrade dask && \
-    # Stop jupyter nbconvert trying to rewrite its folder hierarchy
-    mkdir -p /root/.jupyter && touch /root/.jupyter/jupyter_nbconvert_config.py && touch /root/.jupyter/migrated && \
-    # TODO(b/380921973): Ensure only matplotlib 3.7.5 files are present.
-    rm -r /opt/conda/lib/python3.10/site-packages/matplotlib-3.9.2.dist-info/ && \
+# Stop jupyter nbconvert trying to rewrite its folder hierarchy
+RUN mkdir -p /root/.jupyter && touch /root/.jupyter/jupyter_nbconvert_config.py && touch /root/.jupyter/migrated && \
     mkdir -p /.jupyter && touch /.jupyter/jupyter_nbconvert_config.py && touch /.jupyter/migrated && \
-    # Stop Matplotlib printing junk to the console on first load
-    sed -i "s/^.*Matplotlib is building the font cache using fc-list.*$/# Warning removed by Kaggle/g" /opt/conda/lib/python3.10/site-packages/matplotlib/font_manager.py && \
     # Make matplotlib output in Jupyter notebooks display correctly
     mkdir -p /etc/ipython/ && echo "c = get_config(); c.IPKernelApp.matplotlib = 'inline'" > /etc/ipython/ipython_config.py && \
-    # Temporary patch for broken libpixman 0.38 in conda-forge, symlink to system libpixman 0.34 untile conda package gets updated to 0.38.5 or higher.
-    ln -sf /usr/lib/x86_64-linux-gnu/libpixman-1.so.0.34.0 /opt/conda/lib/libpixman-1.so.0.38.0 && \
-    # b/333854354: pin jupyter-server to version 2.12.5; later versions break LSP (b/333854354)
-    pip install --force-reinstall --no-deps jupyter_server==2.12.5 && \
     /tmp/clean-layer.sh
 
 # Fix to import bq_helper library without downgrading setuptools
@@ -566,50 +140,35 @@ RUN mkdir -p ~/src && git clone https://github.com/SohierDane/BigQuery_Helper ~/
     mv ~/src/BigQuery_Helper/bq_helper.py ~/src/BigQuery_Helper/bq_helper/__init__.py && \
     mv ~/src/BigQuery_Helper/test_helper.py ~/src/BigQuery_Helper/bq_helper/ && \
     sed -i 's/)/packages=["bq_helper"])/g' ~/src/BigQuery_Helper/setup.py && \
-    pip install -e ~/src/BigQuery_Helper && \
+    uv pip install --system -e ~/src/BigQuery_Helper && \
     /tmp/clean-layer.sh
 
+
+# install imagemagick for wand
+# https://docs.wand-py.org/en/latest/guide/install.html#install-imagemagick-on-debian-ubuntu
+RUN apt-get install libmagickwand-dev
+
+# Override default imagemagick policies
+ADD patches/imagemagick-policy.xml /etc/ImageMagick-6/policy.xml
+
+# Add Kaggle module resolver
+ADD patches/kaggle_module_resolver.py $PACKAGE_PATH/tensorflow_hub/kaggle_module_resolver.py
+RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' $PACKAGE_PATH/tensorflow_hub/config.py && \
+    sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' $PACKAGE_PATH/tensorflow_hub/config.py
+
 # Add BigQuery client proxy settings
-ENV PYTHONUSERBASE "/root/.local"
+ENV PYTHONUSERBASE="/root/.local"
 ADD patches/kaggle_gcp.py \
     patches/kaggle_secrets.py \
     patches/kaggle_session.py \
     patches/kaggle_web_client.py \ 
     patches/kaggle_datasets.py \
     patches/log.py \
-    patches/sitecustomize.py \
-    /root/.local/lib/python3.10/site-packages/
+    $PACKAGE_PATH/
 
-# Override default imagemagick policies
-ADD patches/imagemagick-policy.xml /etc/ImageMagick-6/policy.xml
-
-# Add Kaggle module resolver
-ADD patches/kaggle_module_resolver.py /opt/conda/lib/python3.10/site-packages/tensorflow_hub/kaggle_module_resolver.py
-RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /opt/conda/lib/python3.10/site-packages/tensorflow_hub/config.py && \
-    sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' /opt/conda/lib/python3.10/site-packages/tensorflow_hub/config.py && \
-    # Disable preloaded jupyter modules (they add to startup, and break when they are missing)
-    sed -i /bq_stats/d /etc/ipython/ipython_kernel_config.py && \
-    sed -i /beatrix/d /etc/ipython/ipython_kernel_config.py && \
-    sed -i /bigquery/d /etc/ipython/ipython_kernel_config.py && \
-    sed -i /sql/d /etc/ipython/ipython_kernel_config.py
-
-# Force only one libcusolver
-{{ if eq .Accelerator "gpu" }}
-RUN rm /opt/conda/bin/../lib/libcusolver.so.11 && ln -s /usr/local/cuda/lib64/libcusolver.so.11 /opt/conda/bin/../lib/libcusolver.so.11
-{{ else }}
-RUN ln -s /usr/local/cuda/lib64/libcusolver.so.11 /opt/conda/bin/../lib/libcusolver.so.11
-{{ end }}
-
-# b/270147159: conda ships with a version of libtinfo which is missing version info causing warnings, replace it with a good version.
-RUN rm /opt/conda/lib/libtinfo.so.6 && ln -s /usr/lib/x86_64-linux-gnu/libtinfo.so.6 /opt/conda/lib/libtinfo.so.6 && \
-    # b/276358430: fix Jupyter lsp freezing up the jupyter server
-    pip install "jupyter-lsp==1.5.1"
-
-# Set backend for matplotlib
-ENV MPLBACKEND="agg" \  
-    # Set LC_ALL
-    # https://github.com/explosion/spaCy/issues/12872#issuecomment-1661847588
-    LC_ALL="POSIX"
+# Figure out why this is in a different place?
+# Found by doing a export PYTHONVERBOSE=1 and then running python and checking for where it looked for it.
+ADD patches/sitecustomize.py /usr/lib/python3.10/sitecustomize.py
 
 ARG GIT_COMMIT=unknown \
     BUILD_DATE=unknown
@@ -620,10 +179,6 @@ LABEL git-commit=$GIT_COMMIT \
 ENV GIT_COMMIT=${GIT_COMMIT} \
     BUILD_DATE=${BUILD_DATE}
 
-LABEL tensorflow-version=$TENSORFLOW_VERSION \
-    # Used in the Jenkins `Docker GPU Build` step to restrict the images being pruned.
-    kaggle-lang=python
-
 # Correlate current release with the git hash inside the kernel editor by running `!cat /etc/git_commit`.
 RUN echo "$GIT_COMMIT" > /etc/git_commit && echo "$BUILD_DATE" > /etc/build_date
 
@@ -633,3 +188,4 @@ ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH_NO_STUBS" \
     # Add the CUDA home.
     CUDA_HOME=/usr/local/cuda
 {{ end }}
+ENTRYPOINT ["/usr/bin/env"]
diff --git a/Jenkinsfile b/Jenkinsfile
index 93f4753d..4980b956 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -21,66 +21,6 @@ pipeline {
   }
 
   stages {
-    stage('Pre-build Packages from Source') {
-      parallel {
-        stage('torch') {
-          options {
-            timeout(time: 300, unit: 'MINUTES')
-          }
-          steps {
-            sh '''#!/bin/bash
-              set -exo pipefail
-              source config.txt
-              cd packages/
-              ./build_package --base-image $BASE_IMAGE_REPO/$GPU_BASE_IMAGE_NAME:$BASE_IMAGE_TAG \
-                --package torch \
-                --version $TORCH_VERSION \
-                --build-arg TORCHAUDIO_VERSION=$TORCHAUDIO_VERSION \
-                --build-arg TORCHVISION_VERSION=$TORCHVISION_VERSION \
-                --build-arg CUDA_MAJOR_VERSION=$CUDA_MAJOR_VERSION \
-                --build-arg CUDA_MINOR_VERSION=$CUDA_MINOR_VERSION \
-                --push
-            '''
-          }
-        }
-        stage('lightgbm') {
-          options {
-            timeout(time: 10, unit: 'MINUTES')
-          }
-          steps {
-            sh '''#!/bin/bash
-              set -exo pipefail
-              source config.txt
-              cd packages/
-              ./build_package --base-image $BASE_IMAGE_REPO/$GPU_BASE_IMAGE_NAME:$BASE_IMAGE_TAG \
-                --package lightgbm \
-                --version $LIGHTGBM_VERSION \
-                --build-arg CUDA_MAJOR_VERSION=$CUDA_MAJOR_VERSION \
-                --build-arg CUDA_MINOR_VERSION=$CUDA_MINOR_VERSION \
-                --push
-            '''
-          }
-        }
-        stage('jaxlib') {
-          options {
-            timeout(time: 300, unit: 'MINUTES')
-          }
-          steps {
-            sh '''#!/bin/bash
-              set -exo pipefail
-              source config.txt
-              cd packages/
-              ./build_package --base-image $BASE_IMAGE_REPO/$GPU_BASE_IMAGE_NAME:$BASE_IMAGE_TAG \
-                --package jaxlib \
-                --version $JAX_VERSION \
-                --build-arg CUDA_MAJOR_VERSION=$CUDA_MAJOR_VERSION \
-                --build-arg CUDA_MINOR_VERSION=$CUDA_MINOR_VERSION \
-                --push
-            '''
-          }
-        }
-      }
-    }
     stage('Build/Test/Diff') {
       parallel {
         stage('CPU') {
diff --git a/clean-layer.sh b/clean-layer.sh
index d1a048fc..467e1cac 100755
--- a/clean-layer.sh
+++ b/clean-layer.sh
@@ -19,6 +19,4 @@ apt-get clean
 # Ensures the current working directory won't be deleted
 cd /usr/local/src/
 # Delete source files used for building binaries
-rm -rf /usr/local/src/*
-# Delete conda downloaded tarballs
-conda clean -y --tarballs
+rm -rf /usr/local/src/*
\ No newline at end of file
diff --git a/config.txt b/config.txt
index e95a1af1..c0a7711c 100644
--- a/config.txt
+++ b/config.txt
@@ -1,11 +1,2 @@
-BASE_IMAGE_REPO=gcr.io/deeplearning-platform-release
-BASE_IMAGE_TAG=m122
-CPU_BASE_IMAGE_NAME=tf2-cpu.2-16.py310
-GPU_BASE_IMAGE_NAME=tf2-gpu.2-16.py310
-LIGHTGBM_VERSION=4.2.0
-TORCH_VERSION=2.4.0
-TORCHAUDIO_VERSION=2.4.0
-TORCHVISION_VERSION=0.19.0
-JAX_VERSION=0.4.26
 CUDA_MAJOR_VERSION=12
-CUDA_MINOR_VERSION=3
+CUDA_MINOR_VERSION=2
diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
new file mode 100644
index 00000000..6400d8a1
--- /dev/null
+++ b/kaggle_requirements.txt
@@ -0,0 +1,139 @@
+altair>=5.4.0
+Babel
+Boruta
+Cartopy
+ImageHash
+Janome
+PyArabic
+PyUpSet
+Pympler
+Rtree
+shapely<2
+SimpleITK
+TPOT
+Theano
+Wand
+annoy
+arrow
+bayesian-optimization
+boto3
+catboost
+category-encoders
+cesium
+comm
+cytoolz
+dask-expr
+datasets
+datashader
+deap
+dipy
+docker
+easyocr
+eli5
+emoji
+fasttext
+featuretools
+fiona
+fury
+fuzzywuzzy
+geojson
+# geopandas > v0.14.4 breaks learn tools
+geopandas==v0.14.4
+google-cloud-aiplatform
+# google-cloud-automl 2.0.0 introduced incompatible API changes, need to pin to 1.0.1
+google-cloud-automl==1.0.1
+# b/315753846: Unpin translate package.
+google-cloud-translate==3.12.1
+google-cloud-videointelligence
+google-cloud-vision
+gpxpy
+h2o
+haversine
+hep-ml
+igraph
+ipympl
+ipywidgets==8.1.5
+isoweek
+jedi
+# b/276358430: fix Jupyter lsp freezing up the jupyter server
+jupyter-lsp==1.5.1
+# b/333854354: pin jupyter-server to version 2.12.5; later versions break LSP (b/333854354)
+jupyter_server==2.12.5
+jupyterlab
+jupyterlab-lsp
+kaggle-environments
+kagglehub>=0.3.4
+# Keras 3.6 broke test_keras.py > test_train > keras.datasets.mnist.load_data():
+# See https://github.com/keras-team/keras/commit/dcefb139863505d166dd1325066f329b3033d45a
+keras<3.6
+keras-cv
+keras-nlp
+keras-tuner
+kornia
+langid
+leven
+# b/328788268: libpysal 4.10 seems to fail with "module 'shapely' has no attribute 'Geometry'. Did you mean: 'geometry'"
+libpysal<=4.9.2
+lime
+line_profiler
+mamba
+mlcrate
+mne
+mpld3
+nbdev
+nilearn
+olefile
+onnx
+openslide-bin
+openslide-python
+optuna
+pandas-profiling
+pandasql
+papermill
+path
+path.py
+pdf2image
+plotly-express
+preprocessing
+pudb
+pyLDAvis
+pycryptodome
+pydegensac
+pydicom
+pydub
+pyemd
+pyexcel-ods
+pymc3
+pymongo
+pypdf
+pytesseract
+python-lsp-server
+pytorch-ignite
+pytorch-lightning
+qgrid
+qtconsole
+ray
+rgf-python
+s3fs
+scikit-learn-intelex
+scikit-multilearn
+scikit-optimize
+scikit-plot
+scikit-surprise
+git+https://github.com/facebookresearch/segment-anything.git
+shap
+squarify
+tensorflow-cloud
+tensorflow-io
+tensorflow-text
+tensorflow_decision_forests
+timm
+torchinfo
+torchmetrics
+tsfresh
+vtk
+wandb
+wavio
+xgboost==2.0.3
+xvfbwrapper
+ydata-profiling
diff --git a/test b/test
index ef1ffe3e..c2748e81 100755
--- a/test
+++ b/test
@@ -3,7 +3,7 @@ set -e
 
 IMAGE_TAG='kaggle/python-build'
 IMAGE_TAG_OVERRIDE=''
-ADDITONAL_OPTS=''
+ADDITONAL_OPTS='--runtime runc ' # Use the CPU runtime by default
 PATTERN='test*.py'
 
 usage() {
@@ -69,8 +69,6 @@ readonly ADDITONAL_OPTS
 readonly PATTERN
 
 set -x
-docker run --rm --net=none -v /tmp/python-build:/tmp/python-build "$IMAGE_TAG" rm -rf /tmp/python-build/*
-docker rm jupyter_test || true
 mkdir -p /tmp/python-build/tmp
 mkdir -p /tmp/python-build/devshm
 mkdir -p /tmp/python-build/working
@@ -97,6 +95,9 @@ fi
 # Note about `--hostname localhost` (b/158137436)
 # hostname defaults to the container name which fails DNS name
 # resolution with --net=none (required to keep tests hermetic). See details in bug.
+#
+# Note about CLOUDSDK_CONFIG=/tmp/.config/gcloud
+# We use the /tmp dir since the filesystem is --read-only and we need writable space for gcloud configs.
 docker run --rm -t --read-only --net=none \
     -e HOME=/tmp -e KAGGLE_DATA_PROXY_TOKEN=test-key \
     -e KAGGLE_USER_SECRETS_TOKEN_KEY=test-secrets-key \
@@ -105,6 +106,7 @@ docker run --rm -t --read-only --net=none \
     -e KAGGLE_DATA_PROXY_PROJECT=test \
     -e TF_FORCE_GPU_ALLOW_GROWTH=true \
     -e XLA_PYTHON_CLIENT_PREALLOCATE=false \
+    -e CLOUDSDK_CONFIG=/tmp/.config/gcloud \
     --hostname localhost \
     --shm-size=2g \
     -v $PWD:/input:ro -v /tmp/python-build/working:/working \
diff --git a/tests/test_cuml.py b/tests/test_cuml.py
index bbb7f0c6..695e47ca 100644
--- a/tests/test_cuml.py
+++ b/tests/test_cuml.py
@@ -6,6 +6,7 @@
 class TestCuml(unittest.TestCase):
     @gpu_test
     @p100_exempt # b/342143152: cuML(>=24.4v) is inompatible with p100 GPUs.
+    @unittest.skip("b/381287748 cuML is not installed in Colab.")
     def test_pca_fit_transform(self):
         import unittest
         import numpy as np
diff --git a/tests/test_fastai.py b/tests/test_fastai.py
index 0de1f82f..49bce0ac 100644
--- a/tests/test_fastai.py
+++ b/tests/test_fastai.py
@@ -27,8 +27,9 @@ def test_tabular(self):
             "/input/tests/data/train.csv",
             cont_names=["pixel"+str(i) for i in range(784)],
             y_names='label',
-            procs=[FillMissing, Categorify, Normalize])       
+            procs=[FillMissing, Categorify, Normalize])
         learn = tabular_learner(dls, layers=[200, 100])
-        learn.fit_one_cycle(n_epoch=1)
+        with learn.no_bar():
+            learn.fit_one_cycle(n_epoch=1)
         
-        self.assertGreater(learn.smooth_loss, 0)
+            self.assertGreater(learn.smooth_loss, 0)
diff --git a/tests/test_lightgbm.py b/tests/test_lightgbm.py
index bcdbb1a6..7001a0a7 100644
--- a/tests/test_lightgbm.py
+++ b/tests/test_lightgbm.py
@@ -34,7 +34,9 @@ def test_cpu(self):
 
         self.assertEqual(1, gbm.best_iteration)
 
+    # TODO(b/381256047): Colab needs to install GPU-enabled lightgbm.
     @gpu_test
+    @unittest.skip("Skipping this test until b/381256047 is resolved.")
     def test_gpu(self):
         lgb_train, lgb_eval = self.load_datasets()
         

From 4e6bec87f5d71764cad94b99bde0f90929a4af62 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 2 Dec 2024 14:40:02 -0500
Subject: [PATCH 1574/1660] Re-pin learntools related packages. (#1448)

These were unpinned during the base image migration but caused
learntools to fail.

http://b/365782129
---
 Dockerfile.tmpl         |  7 ++++---
 kaggle_requirements.txt | 19 +++++++++++++++----
 2 files changed, 19 insertions(+), 7 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index d6bc3f9b..20769a74 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -21,10 +21,11 @@ ENV PATH="~/.local/bin:${PATH}"
 # b/183041606#comment5: the Kaggle data proxy doesn't support these APIs. If the library is missing, it falls back to using a regular BigQuery query to fetch data.
 RUN uv pip uninstall --system google-cloud-bigquery-storage
 
-# NOTE(herbison): uv fails to install this for some reason
-RUN pip install git+https://github.com/Kaggle/learntools
+# uv cannot install this in requirements.txt without --no-build-isolation
+# to avoid affecting the larger build, we'll post-install it.
+RUN uv pip install --no-build-isolation --system "git+https://github.com/Kaggle/learntools"
 
-# We install an incompatible pair of libs (shapely<, libpysal==4.9.2) so we can't put this one in the requirements.txt
+# b/328788268 We install an incompatible pair of libs (shapely<2, libpysal==4.9.2) so we can't put this one in the requirements.txt
 RUN uv pip install --system  "libpysal==4.9.2"
 
 # Adding non-package dependencies:
diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index 6400d8a1..30f819c5 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -1,4 +1,5 @@
-altair>=5.4.0
+# Please keep this in alphabetical order
+Altair>=5.4.0
 Babel
 Boruta
 Cartopy
@@ -10,7 +11,8 @@ Pympler
 Rtree
 shapely<2
 SimpleITK
-TPOT
+# b/302136621: Fix eli5 import for learntools, newer version require scikit-learn > 1.3
+TPOT==0.12.1
 Theano
 Wand
 annoy
@@ -80,6 +82,8 @@ mamba
 mlcrate
 mne
 mpld3
+# b/274619697: learntools requires a specific nbconvert right now
+nbconvert==6.4.5
 nbdev
 nilearn
 olefile
@@ -115,13 +119,19 @@ qtconsole
 ray
 rgf-python
 s3fs
-scikit-learn-intelex
+ # b/302136621: Fix eli5 import for learntools
+scikit-learn==1.2.2
+# Scikit-learn accelerated library for x86
+scikit-learn-intelex>=2023.0.1
 scikit-multilearn
 scikit-optimize
 scikit-plot
 scikit-surprise
+# Also pinning seaborn for learntools
+seaborn==0.12.2
 git+https://github.com/facebookresearch/segment-anything.git
-shap
+# b/329869023 shap 0.45.0 breaks learntools
+shap==0.44.1
 squarify
 tensorflow-cloud
 tensorflow-io
@@ -134,6 +144,7 @@ tsfresh
 vtk
 wandb
 wavio
+# b/350573866: xgboost v2.1.0 breaks learntools
 xgboost==2.0.3
 xvfbwrapper
 ydata-profiling

From 77a3516e860a61491915626619427378c2fd27bd Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 3 Dec 2024 09:46:25 -0500
Subject: [PATCH 1575/1660] Include $PWD in PYTHONPATH

http://b/365782129
---
 Dockerfile.tmpl | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 20769a74..23697c8d 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -122,8 +122,8 @@ RUN mkdir -p /root/.EasyOCR/model && \
 RUN apt-get install tesseract-ocr -y
 
 ENV TESSERACT_PATH=/usr/bin/tesseract \
-    # For Facets
-    PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/ \
+    # For Facets, we also include an empty path to include $PWD.
+    PYTHONPATH=:$PYTHONPATH:/opt/facets/facets_overview/python/ \
     # For Theano with MKL
     MKL_THREADING_LAYER=GNU
 

From 79353b5c213d280128f5cc2cf2a92bc8388e2d28 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 4 Dec 2024 12:45:59 -0500
Subject: [PATCH 1576/1660] b/381256047 lightgbm gpu install (#1451)

---
 Dockerfile.tmpl        | 20 +++++++++++++++++++-
 Jenkinsfile            | 23 +++++++++++++++++++++++
 config.txt             |  3 +++
 packages/build_package |  8 ++------
 tests/test_lightgbm.py |  2 --
 5 files changed, 47 insertions(+), 9 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 23697c8d..77f198a0 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -1,4 +1,11 @@
-FROM us-docker.pkg.dev/colab-images/public/runtime:latest
+ARG BASE_IMAGE \
+    BASE_IMAGE_TAG \
+    LIGHTGBM_VERSION
+
+{{ if eq .Accelerator "gpu" }}
+FROM gcr.io/kaggle-images/python-lightgbm-whl:${BASE_IMAGE_TAG}-${LIGHTGBM_VERSION} AS lightgbm_whl
+{{ end }}
+FROM ${BASE_IMAGE}:${BASE_IMAGE_TAG}
 
 ADD kaggle_requirements.txt /kaggle_requirements.txt
 
@@ -49,6 +56,17 @@ RUN update-alternatives --set cuda /usr/local/cuda-$CUDA_MAJOR_VERSION.$CUDA_MIN
 
 RUN uv pip install --system "pycuda"
 
+# b/381256047 Remove once installed in Colabs base image.
+# Install LightGBM
+COPY --from=lightgbm_whl /tmp/whl/*.whl /tmp/lightgbm/
+# Install OpenCL (required by LightGBM GPU version)
+RUN apt-get install -y ocl-icd-libopencl1 clinfo && \
+    mkdir -p /etc/OpenCL/vendors && \
+    echo "libnvidia-opencl.so.1" > /etc/OpenCL/vendors/nvidia.icd && \
+    uv pip install --system /tmp/lightgbm/*.whl && \
+    rm -rf /tmp/lightgbm && \
+    /tmp/clean-layer.sh
+
 # Remove CUDA_VERSION from non-GPU image.
 {{ else }}
 ENV CUDA_VERSION=""
diff --git a/Jenkinsfile b/Jenkinsfile
index 4980b956..92332a02 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -21,6 +21,29 @@ pipeline {
   }
 
   stages {
+    stage('Pre-build Packages from Source') {
+      stages {
+        stage('lightgbm') {
+          options {
+            timeout(time: 10, unit: 'MINUTES')
+          }
+          steps {
+            sh '''#!/bin/bash
+              set -exo pipefail
+              source config.txt
+              cd packages/
+              ./build_package --base-image $BASE_IMAGE:$BASE_IMAGE_TAG \
+                --package lightgbm \
+                --version $LIGHTGBM_VERSION \
+                --build-arg CUDA_MAJOR_VERSION=$CUDA_MAJOR_VERSION \
+                --build-arg CUDA_MINOR_VERSION=$CUDA_MINOR_VERSION \
+                --push
+            '''
+          }
+        }
+      }
+    }
+
     stage('Build/Test/Diff') {
       parallel {
         stage('CPU') {
diff --git a/config.txt b/config.txt
index c0a7711c..b799aadb 100644
--- a/config.txt
+++ b/config.txt
@@ -1,2 +1,5 @@
+BASE_IMAGE=us-docker.pkg.dev/colab-images/public/runtime
+BASE_IMAGE_TAG=release-colab_20240920-060127_RC00
+LIGHTGBM_VERSION=4.5.0
 CUDA_MAJOR_VERSION=12
 CUDA_MINOR_VERSION=2
diff --git a/packages/build_package b/packages/build_package
index 1e6a7f94..e0af53e2 100755
--- a/packages/build_package
+++ b/packages/build_package
@@ -115,12 +115,8 @@ if [[ -z "$DOCKERFILE" ]]; then
     exit 1
 fi
 
-# Keep only `tf2-gpu.2-6:m80` in `gcr.io/deeplearning-platform-release/tf2-gpu.2-6:m80` 
-TAG=${BASE_IMAGE/gcr.io\/deeplearning-platform-release\//}
-# Keep only `python:v108` in `gcr.io/kaggle-images/python:v108`
-TAG=${TAG/gcr.io\/kaggle-images\//}
-# Replace the `:` in `tf2-gpu.2-6:m80` by `-`
-TAG=${TAG/:/-}
+# Keep only `release-colab_20240920-060127_RC00` in `us-docker.pkg.dev/colab-images/public/runtime:release-colab_20240920-060127_RC00` 
+TAG=$(echo $BASE_IMAGE | cut -d ':' -f 2)
 # Append the package version
 TAG=$TAG-$PACKAGE_VERSION
 # Add the gcr repo.
diff --git a/tests/test_lightgbm.py b/tests/test_lightgbm.py
index 7001a0a7..bcdbb1a6 100644
--- a/tests/test_lightgbm.py
+++ b/tests/test_lightgbm.py
@@ -34,9 +34,7 @@ def test_cpu(self):
 
         self.assertEqual(1, gbm.best_iteration)
 
-    # TODO(b/381256047): Colab needs to install GPU-enabled lightgbm.
     @gpu_test
-    @unittest.skip("Skipping this test until b/381256047 is resolved.")
     def test_gpu(self):
         lgb_train, lgb_eval = self.load_datasets()
         

From adffc5d565c0b122a7d5d60c6cf1e1acad360f95 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 4 Dec 2024 16:46:16 -0500
Subject: [PATCH 1577/1660] Build tpu image with uv (#1452)

This should significantly improve build times for this image.

http://b/350047073
---
 tpu/Dockerfile       | 20 ++++++++++----------
 tpu/requirements.txt | 45 ++++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 55 insertions(+), 10 deletions(-)
 create mode 100644 tpu/requirements.txt

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index b94619da..6a45fa60 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -56,16 +56,16 @@ RUN apt-get update && apt-get install ffmpeg libsm6 libxext6  -y
 
 # Packages needed by the Notebook editor
 
-# Additional useful packages should be added here
-
-RUN pip install tensorflow_hub https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TF_LINUX_WHEEL_VERSION}.whl tensorflow-probability tensorflow-io \
-    torch~=${TORCH_VERSION} https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-${TORCH_VERSION}+libtpu-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TORCH_LINUX_WHEEL_VERSION}.whl torchvision==${TORCHVISION_VERSION} torchaudio==${TORCHAUDIO_VERSION} \
-    jax[tpu]==${JAX_VERSION} -f https://storage.googleapis.com/jax-releases/libtpu_releases.html trax flax optax git+https://github.com/deepmind/dm-haiku jraph distrax \
-    papermill jupyterlab python-lsp-server[all] "jupyter-lsp==1.5.1" \
-    pandas matplotlib opencv-python-headless librosa accelerate diffusers scikit-learn transformers \
-    seaborn timm albumentations einops pyarrow fastparquet opencv-python \
-    "keras>3" keras-cv keras-nlp \
-    kagglehub && \
+# Additional useful packages should be added in the requirements.txt
+
+# Bring in the requirements.txt and replace variables in it:
+RUN apt-get install -y gettext
+ADD tpu/requirements.txt /kaggle_requirements.txt
+RUN envsubst < /kaggle_requirements.txt > /requirements.txt
+
+# Install uv and then install the requirements:
+RUN curl -LsSf https://astral.sh/uv/install.sh | sh
+RUN export PATH="${HOME}/.local/bin:${PATH}" && uv pip install --system -r /requirements.txt --prerelease=allow --find-links https://storage.googleapis.com/jax-releases/libtpu_releases.html && \
     /tmp/clean-layer.sh
 
 # Tensorflow libtpu:
diff --git a/tpu/requirements.txt b/tpu/requirements.txt
new file mode 100644
index 00000000..99db64a7
--- /dev/null
+++ b/tpu/requirements.txt
@@ -0,0 +1,45 @@
+# Tensorflow packages
+https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TF_LINUX_WHEEL_VERSION}.whl
+tensorflow_hub
+tensorflow-io
+tensorflow-probability
+# Torch packages
+torch~=${TORCH_VERSION}
+https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-${TORCH_VERSION}+libtpu-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TORCH_LINUX_WHEEL_VERSION}.whl
+torchaudio==${TORCHAUDIO_VERSION}
+torchvision==${TORCHVISION_VERSION}
+# Jax packages
+jax[tpu]==${JAX_VERSION}
+distrax
+flax
+git+https://github.com/deepmind/dm-haiku
+jraph
+optax
+trax
+# Jupyter packages
+jupyter-lsp==1.5.1
+jupyterlab
+papermill
+python-lsp-server[all]
+# Keras Packages
+keras>3
+keras-cv
+keras-nlp
+# Kaggle Packages
+kagglehub
+# Other useful packages, add more here
+accelerate
+albumentations
+diffusers
+einops
+fastparquet
+librosa
+matplotlib
+opencv-python
+opencv-python-headless
+pandas
+pyarrow
+scikit-learn
+seaborn
+timm
+transformers

From c9bf1ddb10d24904e09ba0360912b2d35b52456f Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 4 Dec 2024 23:43:11 -0500
Subject: [PATCH 1578/1660] Split build and test parallel steps (#1453)

This speeds up e2e pipeline time since all three builds take around
10-11m now and tests take about 5m, making those two phases faster.
---
 Jenkinsfile | 109 ++++++++++++++++++++++++++--------------------------
 1 file changed, 55 insertions(+), 54 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 92332a02..97d9b4bb 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -61,22 +61,6 @@ pipeline {
                 '''
               }
             }
-            stage('Test CPU Image') {
-              options {
-                timeout(time: 15, unit: 'MINUTES')
-              }
-              steps {
-                retry(2) {
-                  sh '''#!/bin/bash
-                    set -exo pipefail
-
-                    date
-                    docker pull gcr.io/kaggle-images/python:${PRETEST_TAG}
-                    ./test --image gcr.io/kaggle-images/python:${PRETEST_TAG}
-                  '''
-                }
-              }
-            }
             stage('Diff CPU image') {
               steps {
                 sh '''#!/bin/bash
@@ -113,44 +97,6 @@ pipeline {
                 '''
               }
             }
-            stage('Test GPU Image') {
-              stages {
-                stage('Test on P100') {
-                  agent { label 'ephemeral-linux-gpu' }
-                  options {
-                    timeout(time: 40, unit: 'MINUTES')
-                  }
-                  steps {
-                    retry(2) {
-                      sh '''#!/bin/bash
-                        set -exo pipefail
-
-                        date
-                        docker pull gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
-                        ./test --gpu --image gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
-                      '''
-                    }
-                  }
-                }
-                stage('Test on T4x2') {
-                  agent { label 'ephemeral-linux-gpu-t4x2' }
-                  options {
-                    timeout(time: 60, unit: 'MINUTES')
-                  }
-                  steps {
-                    retry(2) {
-                      sh '''#!/bin/bash
-                        set -exo pipefail
-
-                        date
-                        docker pull gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
-                        ./test --gpu --image gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
-                      '''
-                    }
-                  }
-                }
-              }
-            }
             stage('Diff GPU Image') {
               steps {
                 sh '''#!/bin/bash
@@ -193,6 +139,61 @@ pipeline {
       }
     }
 
+    stage('Test') {
+      parallel {
+        stage('Test CPU Image') {
+          options {
+            timeout(time: 15, unit: 'MINUTES')
+          }
+          steps {
+            retry(2) {
+              sh '''#!/bin/bash
+                set -exo pipefail
+
+                date
+                docker pull gcr.io/kaggle-images/python:${PRETEST_TAG}
+                ./test --image gcr.io/kaggle-images/python:${PRETEST_TAG}
+              '''
+            }
+          }
+        }
+        stage('Test on P100') {
+          agent { label 'ephemeral-linux-gpu' }
+          options {
+            timeout(time: 40, unit: 'MINUTES')
+          }
+          steps {
+            retry(2) {
+              sh '''#!/bin/bash
+                set -exo pipefail
+
+                date
+                docker pull gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
+                ./test --gpu --image gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
+              '''
+            }
+          }
+        }
+        stage('Test on T4x2') {
+          agent { label 'ephemeral-linux-gpu-t4x2' }
+          options {
+            timeout(time: 60, unit: 'MINUTES')
+          }
+          steps {
+            retry(2) {
+              sh '''#!/bin/bash
+                set -exo pipefail
+
+                date
+                docker pull gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
+                ./test --gpu --image gcr.io/kaggle-private-byod/python:${PRETEST_TAG}
+              '''
+            }
+          }
+        }
+      }
+    }
+
     stage('Label CPU/GPU Staging Images') {
       steps {
         sh '''#!/bin/bash

From 1e8d192cab8a5ee81a47774e329ca284c9513f41 Mon Sep 17 00:00:00 2001
From: psbang <psb77@cornell.edu>
Date: Mon, 16 Dec 2024 12:23:46 -0500
Subject: [PATCH 1579/1660] Add patch for google_genai (#1454)

---
 patches/sitecustomize.py | 27 +++++++++++++++++++++++++++
 1 file changed, 27 insertions(+)

diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index ea47698b..e8afb361 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -117,3 +117,30 @@ def new_configure(*args, **kwargs):
 
     module.configure = new_configure
     module.configure() # generativeai can use GOOGLE_API_KEY env variable, so make sure we have the other configs set
+
+@wrapt.when_imported('google.genai')
+def post_genai_import_logic(module):
+    if os.getenv('KAGGLE_DISABLE_GOOGLE_GENERATIVE_AI_INTEGRATION'):
+        return
+
+    if not (os.getenv('KAGGLE_DATA_PROXY_TOKEN') and
+            os.getenv('KAGGLE_USER_SECRETS_TOKEN') and
+            os.getenv('KAGGLE_DATA_PROXY_URL')):
+        return
+    @wrapt.patch_function_wrapper(module, 'Client.__init__')
+    def init_wrapper(wrapped, instance, args, kwargs):
+        # Don't want to forward requests that are to Vertex AI, debug mode, or have their own http_options specified
+        # Thus, if the client constructor contains any params other than api_key, we don't set up forwarding
+        if any(value is not None for key, value in kwargs.items() if key != 'api_key'):
+            return wrapped(*args, **kwargs)
+
+        default_metadata = {
+            "x-kaggle-proxy-data": os.environ['KAGGLE_DATA_PROXY_TOKEN'],
+            'x-kaggle-authorization': f"Bearer {os.environ['KAGGLE_USER_SECRETS_TOKEN']}"
+        }
+        http_options = {
+            'base_url': os.getenv('KAGGLE_DATA_PROXY_URL') + '/palmapi/',
+            'headers': default_metadata
+        }
+        kwargs['http_options'] = http_options
+        return wrapped(*args, **kwargs)

From 18a67b0b430aaaa5bdd60bc30f4e86b6a9b5e8d5 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 16 Dec 2024 13:11:57 -0500
Subject: [PATCH 1580/1660] Update instructions to point to
 kaggle_requirements.txt

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 387dcf89..315e7db2 100644
--- a/README.md
+++ b/README.md
@@ -17,7 +17,7 @@ If you the first step above doesn't work for your use case, [open an issue](http
 
 ## Opening a pull request
 
-1. Edit the [Dockerfile](Dockerfile.tmpl).
+1. Edit [kaggle_requirements.txt](kaggle_requirements.txt).
 1. Follow the instructions below to build a new image.
 1. Add tests for your new package. See this [example](https://github.com/Kaggle/docker-python/blob/main/tests/test_fastai.py).
 1. Follow the instructions below to test the new image.

From 2cb0a25b24d90807b216aa521d25c63d28c6f3bb Mon Sep 17 00:00:00 2001
From: psbang <psb77@cornell.edu>
Date: Mon, 16 Dec 2024 15:35:02 -0500
Subject: [PATCH 1581/1660] Add torchtune to docker image packages (#1456)

---
 kaggle_requirements.txt | 1 +
 tests/test_torchtune.py | 9 +++++++++
 2 files changed, 10 insertions(+)
 create mode 100644 tests/test_torchtune.py

diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index 30f819c5..8379d0f2 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -140,6 +140,7 @@ tensorflow_decision_forests
 timm
 torchinfo
 torchmetrics
+torchtune
 tsfresh
 vtk
 wandb
diff --git a/tests/test_torchtune.py b/tests/test_torchtune.py
new file mode 100644
index 00000000..b2090ecc
--- /dev/null
+++ b/tests/test_torchtune.py
@@ -0,0 +1,9 @@
+import unittest
+
+import subprocess
+
+class TestTorchtune(unittest.TestCase):
+    def test_help(self):
+        ret_code = subprocess.run(["tune", "--help"])
+        self.assertEqual(0, ret_code.returncode)
+        self.assertIsNone(ret_code.stderr)
\ No newline at end of file

From c6e40876bedf778616e032d25cf54a0e2b8fb654 Mon Sep 17 00:00:00 2001
From: psbang <psb77@cornell.edu>
Date: Mon, 16 Dec 2024 15:51:30 -0500
Subject: [PATCH 1582/1660] Add google-genai to docker image (#1455)

---
 kaggle_requirements.txt          |  1 +
 tests/test_google_genai_patch.py | 55 ++++++++++++++++++++++++++++++++
 2 files changed, 56 insertions(+)
 create mode 100644 tests/test_google_genai_patch.py

diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index 8379d0f2..a73ff406 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -48,6 +48,7 @@ google-cloud-automl==1.0.1
 google-cloud-translate==3.12.1
 google-cloud-videointelligence
 google-cloud-vision
+google-genai
 gpxpy
 h2o
 haversine
diff --git a/tests/test_google_genai_patch.py b/tests/test_google_genai_patch.py
new file mode 100644
index 00000000..9d225763
--- /dev/null
+++ b/tests/test_google_genai_patch.py
@@ -0,0 +1,55 @@
+import json
+import unittest
+import threading
+
+from test.support.os_helper import EnvironmentVarGuard
+from urllib.parse import urlparse
+
+from http.server import BaseHTTPRequestHandler, HTTPServer
+
+class HTTPHandler(BaseHTTPRequestHandler):
+    called = False
+    path = None
+    headers = {}
+
+    def do_HEAD(self):
+        self.send_response(200)
+
+    def do_POST(self):
+        HTTPHandler.path = self.path
+        HTTPHandler.headers = self.headers
+        HTTPHandler.called = True
+        self.send_response(200)
+        self.send_header("Content-type", "application/json")
+        self.end_headers()
+
+class TestGoogleGenAiPatch(unittest.TestCase):
+    endpoint = "http://127.0.0.1:80"
+
+    def test_proxy_enabled(self):
+        env = EnvironmentVarGuard()
+        secrets_token = "secrets_token"
+        proxy_token = "proxy_token"
+        env.set("KAGGLE_USER_SECRETS_TOKEN", secrets_token)
+        env.set("KAGGLE_DATA_PROXY_TOKEN", proxy_token)
+        env.set("KAGGLE_DATA_PROXY_URL", self.endpoint)
+        server_address = urlparse(self.endpoint)
+        with env:
+            with HTTPServer((server_address.hostname, server_address.port), HTTPHandler) as httpd:
+                threading.Thread(target=httpd.serve_forever).start()
+                from google import genai
+                api_key = "NotARealAPIKey"
+                client = genai.Client(api_key = api_key)
+                try:
+                    client.models.generate_content(
+                        model="gemini-2.0-flash-exp",
+                        contents="What's the largest planet in our solar system?"
+                    )
+                except:
+                    pass
+                httpd.shutdown()
+                self.assertTrue(HTTPHandler.called)
+                self.assertIn("/palmapi", HTTPHandler.path)
+                self.assertEqual(proxy_token, HTTPHandler.headers["x-kaggle-proxy-data"])
+                self.assertEqual("Bearer {}".format(secrets_token), HTTPHandler.headers["x-kaggle-authorization"])
+                self.assertEqual(api_key, HTTPHandler.headers["x-goog-api-key"])

From 2a33c9f40ef67089a0f2eafa277ff94a5ff85834 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 17 Dec 2024 12:13:36 -0500
Subject: [PATCH 1583/1660] Fix LD_LIBRARY_PATH

This was overwriting it to be empty which was breaking GPU function.
---
 Dockerfile.tmpl | 2 --
 1 file changed, 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 77f198a0..c12a2976 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -202,8 +202,6 @@ ENV GIT_COMMIT=${GIT_COMMIT} \
 RUN echo "$GIT_COMMIT" > /etc/git_commit && echo "$BUILD_DATE" > /etc/build_date
 
 {{ if eq .Accelerator "gpu" }}
-# Remove the CUDA stubs.
-ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH_NO_STUBS" \
     # Add the CUDA home.
     CUDA_HOME=/usr/local/cuda
 {{ end }}

From 00192f2d02aeb5f9afa6356e6a9f561e2a622e31 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 17 Dec 2024 12:18:58 -0500
Subject: [PATCH 1584/1660] Fix CUDA_HOME env var

---
 Dockerfile.tmpl | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index c12a2976..4d1cbc2f 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -202,7 +202,7 @@ ENV GIT_COMMIT=${GIT_COMMIT} \
 RUN echo "$GIT_COMMIT" > /etc/git_commit && echo "$BUILD_DATE" > /etc/build_date
 
 {{ if eq .Accelerator "gpu" }}
-    # Add the CUDA home.
-    CUDA_HOME=/usr/local/cuda
+# Add the CUDA home.
+ENV CUDA_HOME=/usr/local/cuda
 {{ end }}
 ENTRYPOINT ["/usr/bin/env"]

From e4c8674c32deee5d870dc8ddff847450b9b89bdd Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 17 Dec 2024 15:07:49 -0500
Subject: [PATCH 1585/1660] newer fastcore needed to match nbdev

http://b/384745227
---
 kaggle_requirements.txt | 1 +
 1 file changed, 1 insertion(+)

diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index a73ff406..feab427f 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -33,6 +33,7 @@ docker
 easyocr
 eli5
 emoji
+fastcore>=1.7.20
 fasttext
 featuretools
 fiona

From 02fabfde6934e1067ef24408139b4954a9eb9e81 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 18 Dec 2024 10:03:57 -0500
Subject: [PATCH 1586/1660] Fix old version of hf datasets (#1457)

Was failing tests with "Loading a dataset cached in a LocalFileSystem is
not supported"
---
 kaggle_requirements.txt | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index feab427f..fdf659ab 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -25,7 +25,9 @@ cesium
 comm
 cytoolz
 dask-expr
-datasets
+# Older versions of datasets fail with "Loading a dataset cached in a LocalFileSystem is not supported"
+# https://stackoverflow.com/questions/77433096/notimplementederror-loading-a-dataset-cached-in-a-localfilesystem-is-not-suppor
+datasets>=2.14.6
 datashader
 deap
 dipy

From 54527323533b2b1755647f1ee88cfd467ee7374e Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 18 Dec 2024 22:37:06 -0500
Subject: [PATCH 1587/1660] Explicitly add notebook pkg to tpu vm

http://b/384994695
---
 tpu/requirements.txt | 1 +
 1 file changed, 1 insertion(+)

diff --git a/tpu/requirements.txt b/tpu/requirements.txt
index 99db64a7..2b76f040 100644
--- a/tpu/requirements.txt
+++ b/tpu/requirements.txt
@@ -19,6 +19,7 @@ trax
 # Jupyter packages
 jupyter-lsp==1.5.1
 jupyterlab
+notebook
 papermill
 python-lsp-server[all]
 # Keras Packages

From 9de11420a3ad9267fe52c2bef95478926f0521da Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Fri, 20 Dec 2024 12:48:18 -0500
Subject: [PATCH 1588/1660] Install cuml-cu12 (#1459)

http://b/381287748
---
 kaggle_requirements.txt | 2 ++
 tests/test_cuml.py      | 1 -
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index fdf659ab..1db55ced 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -1,4 +1,5 @@
 # Please keep this in alphabetical order
+--extra-index-url https://pypi.nvidia.com
 Altair>=5.4.0
 Babel
 Boruta
@@ -23,6 +24,7 @@ catboost
 category-encoders
 cesium
 comm
+cuml-cu12
 cytoolz
 dask-expr
 # Older versions of datasets fail with "Loading a dataset cached in a LocalFileSystem is not supported"
diff --git a/tests/test_cuml.py b/tests/test_cuml.py
index 695e47ca..bbb7f0c6 100644
--- a/tests/test_cuml.py
+++ b/tests/test_cuml.py
@@ -6,7 +6,6 @@
 class TestCuml(unittest.TestCase):
     @gpu_test
     @p100_exempt # b/342143152: cuML(>=24.4v) is inompatible with p100 GPUs.
-    @unittest.skip("b/381287748 cuML is not installed in Colab.")
     def test_pca_fit_transform(self):
         import unittest
         import numpy as np

From 3cba8096dd4524cf902034639631b3d2087c82e8 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Fri, 3 Jan 2025 15:02:42 +0000
Subject: [PATCH 1589/1660] bump tpu jax/torch versions, add tpu-info

---
 tpu/Dockerfile       | 2 +-
 tpu/config.txt       | 9 ++++-----
 tpu/requirements.txt | 4 +++-
 3 files changed, 8 insertions(+), 7 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 6a45fa60..ce3154db 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -11,7 +11,6 @@ ARG TORCH_LINUX_WHEEL_VERSION
 ARG TORCH_VERSION
 ARG TENSORFLOW_VERSION
 ARG TF_LIBTPU_VERSION
-ARG JAX_VERSION
 ARG TORCHVISION_VERSION
 ARG TORCHAUDIO_VERSION
 
@@ -67,6 +66,7 @@ RUN envsubst < /kaggle_requirements.txt > /requirements.txt
 RUN curl -LsSf https://astral.sh/uv/install.sh | sh
 RUN export PATH="${HOME}/.local/bin:${PATH}" && uv pip install --system -r /requirements.txt --prerelease=allow --find-links https://storage.googleapis.com/jax-releases/libtpu_releases.html && \
     /tmp/clean-layer.sh
+ENV PATH="${HOME}/.local/bin:${PATH}"
 
 # Tensorflow libtpu:
 RUN curl --output /usr/local/lib/python3.10/site-packages/libtpu/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/${TF_LIBTPU_VERSION}/libtpu.so
diff --git a/tpu/config.txt b/tpu/config.txt
index 4ce1c196..357c8147 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -6,12 +6,11 @@ PYTHON_VERSION_PATH=python3.10
 TENSORFLOW_VERSION=2.16.1
 TF_LIBTPU_VERSION=1.10.1
 TF_LINUX_WHEEL_VERSION=manylinux_2_17_x86_64.manylinux2014_x86_64
-JAX_VERSION=0.4.23
-# gsutil ls gs://pytorch-xla-releases/wheels/tpuvm/* | grep libtpu | grep -v -E ".*rc[0-9].*"
+# gsutil ls gs://pytorch-xla-releases/wheels/tpuvm/* | grep libtpu | grep torch_xla | grep -v -E ".*rc[0-9].*" | sed 's/.*torch_xla-\(.*\)+libtpu.*/\1/' | sort -rV
 # Supports nightly
-TORCH_VERSION=2.4.0
+TORCH_VERSION=2.5.0
 # https://github.com/pytorch/audio supports nightly
-TORCHAUDIO_VERSION=2.4.0
+TORCHAUDIO_VERSION=2.5.0
 # https://github.com/pytorch/vision supports nightly
-TORCHVISION_VERSION=0.19.0
+TORCHVISION_VERSION=0.20.0
 TORCH_LINUX_WHEEL_VERSION=manylinux_2_28_x86_64
diff --git a/tpu/requirements.txt b/tpu/requirements.txt
index 2b76f040..4776f3fe 100644
--- a/tpu/requirements.txt
+++ b/tpu/requirements.txt
@@ -1,3 +1,5 @@
+# TPU Utils
+tpu-info
 # Tensorflow packages
 https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TF_LINUX_WHEEL_VERSION}.whl
 tensorflow_hub
@@ -9,7 +11,7 @@ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-${TOR
 torchaudio==${TORCHAUDIO_VERSION}
 torchvision==${TORCHVISION_VERSION}
 # Jax packages
-jax[tpu]==${JAX_VERSION}
+jax[tpu]>=0.4.34
 distrax
 flax
 git+https://github.com/deepmind/dm-haiku

From 1ddb233d2c85c0a28356c658886d907f99880131 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Fri, 3 Jan 2025 16:27:44 +0000
Subject: [PATCH 1590/1660] upgrade tpu tf to 2.18.0

---
 tpu/Dockerfile       | 10 ----------
 tpu/config.txt       |  4 ----
 tpu/requirements.txt |  4 ++--
 3 files changed, 2 insertions(+), 16 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index ce3154db..eb39a9d6 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -6,11 +6,8 @@ FROM $BASE_IMAGE
 # See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
 ARG PYTHON_WHEEL_VERSION
 ARG PYTHON_VERSION_PATH
-ARG TF_LINUX_WHEEL_VERSION
 ARG TORCH_LINUX_WHEEL_VERSION
 ARG TORCH_VERSION
-ARG TENSORFLOW_VERSION
-ARG TF_LIBTPU_VERSION
 ARG TORCHVISION_VERSION
 ARG TORCHAUDIO_VERSION
 
@@ -68,17 +65,11 @@ RUN export PATH="${HOME}/.local/bin:${PATH}" && uv pip install --system -r /requ
     /tmp/clean-layer.sh
 ENV PATH="${HOME}/.local/bin:${PATH}"
 
-# Tensorflow libtpu:
-RUN curl --output /usr/local/lib/python3.10/site-packages/libtpu/libtpu.so https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/libtpu/${TF_LIBTPU_VERSION}/libtpu.so
-
 # Kaggle Model Hub patches:
 ADD patches/kaggle_module_resolver.py /usr/local/lib/${PYTHON_VERSION_PATH}/site-packages/tensorflow_hub/kaggle_module_resolver.py
 RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /usr/local/lib/${PYTHON_VERSION_PATH}/site-packages/tensorflow_hub/config.py
 RUN sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' /usr/local/lib/${PYTHON_VERSION_PATH}/site-packages/tensorflow_hub/config.py
 
-# Monkey-patch the default TPU to the local (TPU VM).
-RUN sed -i 's/tpu=None,/tpu="local",/' /usr/local/lib/${PYTHON_VERSION_PATH}/site-packages/tensorflow/python/distribute/cluster_resolver/tpu/tpu_cluster_resolver.py
-
 # Set these env vars so that they don't produce errs calling the metadata server to load them:
 ENV TPU_ACCELERATOR_TYPE=v3-8
 ENV TPU_PROCESS_ADDRESSES=local
@@ -92,7 +83,6 @@ LABEL build-date=$BUILD_DATE
 ENV GIT_COMMIT=${GIT_COMMIT}
 ENV BUILD_DATE=${BUILD_DATE}
 
-LABEL tensorflow-version=$TENSORFLOW_VERSION
 LABEL kaggle-lang=python
 
 # Correlate current release with the git hash inside the kernel editor by running `!cat /etc/git_commit`.
diff --git a/tpu/config.txt b/tpu/config.txt
index 357c8147..6dc04ed4 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -1,10 +1,6 @@
 BASE_IMAGE=python:3.10
 PYTHON_WHEEL_VERSION=cp310
 PYTHON_VERSION_PATH=python3.10
-# gsutil ls gs://cloud-tpu-tpuvm-artifacts/tensorflow
-# https://cloud.google.com/tpu/docs/supported-tpu-configurations#libtpu_versions
-TENSORFLOW_VERSION=2.16.1
-TF_LIBTPU_VERSION=1.10.1
 TF_LINUX_WHEEL_VERSION=manylinux_2_17_x86_64.manylinux2014_x86_64
 # gsutil ls gs://pytorch-xla-releases/wheels/tpuvm/* | grep libtpu | grep torch_xla | grep -v -E ".*rc[0-9].*" | sed 's/.*torch_xla-\(.*\)+libtpu.*/\1/' | sort -rV
 # Supports nightly
diff --git a/tpu/requirements.txt b/tpu/requirements.txt
index 4776f3fe..4aacad18 100644
--- a/tpu/requirements.txt
+++ b/tpu/requirements.txt
@@ -1,7 +1,8 @@
 # TPU Utils
 tpu-info
 # Tensorflow packages
-https://storage.googleapis.com/cloud-tpu-tpuvm-artifacts/tensorflow/tf-${TENSORFLOW_VERSION}/tensorflow-${TENSORFLOW_VERSION}-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TF_LINUX_WHEEL_VERSION}.whl
+tensorflow-tpu>=2.18.0
+-f https://storage.googleapis.com/libtpu-tf-releases/index.html
 tensorflow_hub
 tensorflow-io
 tensorflow-probability
@@ -36,7 +37,6 @@ albumentations
 diffusers
 einops
 fastparquet
-librosa
 matplotlib
 opencv-python
 opencv-python-headless

From 083bc20f00eda74a422ab91b9c18de7a80806d07 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Fri, 3 Jan 2025 14:54:47 -0500
Subject: [PATCH 1591/1660] Update Colab base image to
 release-colab_20241217-060132_RC00 (#1458)

http://b/385145217
---
 Dockerfile.tmpl         | 10 +++++++++-
 config.txt              |  2 +-
 kaggle_requirements.txt |  4 +++-
 tests/test_numpy.py     | 17 +++++++++++++----
 4 files changed, 26 insertions(+), 7 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 4d1cbc2f..bf8b3c03 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -32,8 +32,16 @@ RUN uv pip uninstall --system google-cloud-bigquery-storage
 # to avoid affecting the larger build, we'll post-install it.
 RUN uv pip install --no-build-isolation --system "git+https://github.com/Kaggle/learntools"
 
+# b/385161357 Latest Colab uses tf 2.17.1, but tf decision forests only has a version for 2.17.0.
+# Instead, we'll install tfdf with its deps and hope that 2.17.0 compat tfdf works with tf 2.17.1.
+RUN uv pip install --system --no-deps tensorflow-decision-forests==1.10.0 wurlitzer==3.1.1 ydf==0.9.0
+
+# b/385145217 Latest Colab lacks mkl numpy, install it.
+RUN uv pip install --system --force-reinstall -i https://pypi.anaconda.org/intel/simple numpy
+
 # b/328788268 We install an incompatible pair of libs (shapely<2, libpysal==4.9.2) so we can't put this one in the requirements.txt
-RUN uv pip install --system  "libpysal==4.9.2"
+# newer daal4py requires tbb>=2022, but libpysal is downgrading it for some reason
+RUN uv pip install --system "tbb>=2022" "libpysal==4.9.2"
 
 # Adding non-package dependencies:
 
diff --git a/config.txt b/config.txt
index b799aadb..1da5b25b 100644
--- a/config.txt
+++ b/config.txt
@@ -1,5 +1,5 @@
 BASE_IMAGE=us-docker.pkg.dev/colab-images/public/runtime
-BASE_IMAGE_TAG=release-colab_20240920-060127_RC00
+BASE_IMAGE_TAG=release-colab_20241217-060132_RC00
 LIGHTGBM_VERSION=4.5.0
 CUDA_MAJOR_VERSION=12
 CUDA_MINOR_VERSION=2
diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index 1db55ced..e2c2475e 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -85,6 +85,7 @@ libpysal<=4.9.2
 lime
 line_profiler
 mamba
+matplotlib<3.8
 mlcrate
 mne
 mpld3
@@ -142,7 +143,8 @@ squarify
 tensorflow-cloud
 tensorflow-io
 tensorflow-text
-tensorflow_decision_forests
+# b/385161357: tf 2.17.1 does not have matching tensorflow_decision_forests release
+# tensorflow_decision_forests
 timm
 torchinfo
 torchmetrics
diff --git a/tests/test_numpy.py b/tests/test_numpy.py
index 071c3d30..948455ea 100644
--- a/tests/test_numpy.py
+++ b/tests/test_numpy.py
@@ -3,9 +3,10 @@
 from distutils.version import StrictVersion
 
 import numpy as np
-from numpy.distutils.system_info import get_info
+import io
+from contextlib import redirect_stdout
 
-class TestNumpy(unittest.TestCase):   
+class TestNumpy(unittest.TestCase):
     def test_version(self):
         # b/370860329: newer versions are not capable with current tensorflow
         self.assertEqual(StrictVersion(np.__version__), StrictVersion("1.26.4")) 
@@ -18,5 +19,13 @@ def test_array(self):
     # Numpy must be linked to the MKL. (Occasionally, a third-party package will muck up the installation
     # and numpy will be reinstalled with an OpenBLAS backing.)
     def test_mkl(self):
-        # This will throw an exception if the MKL is not linked correctly or return an empty dict.
-        self.assertTrue(get_info("blas_mkl"))
+        try:
+            from numpy.distutils.system_info import get_info
+            # This will throw an exception if the MKL is not linked correctly or return an empty dict.
+            self.assertTrue(get_info("blas_mkl"))
+        except:
+            # Fallback to check if mkl is present via show_config()
+            config_out = io.StringIO()
+            with redirect_stdout(config_out):
+                np.show_config()
+            self.assertIn("mkl_rt", config_out.getvalue())

From 55c18210abfa1f3e2b75e9ffd25950ebfbbb6694 Mon Sep 17 00:00:00 2001
From: goeffthomas <goeffthomas@gmail.com>
Date: Mon, 6 Jan 2025 09:25:24 -0800
Subject: [PATCH 1592/1660] Bump `kagglehub` and add optional deps (#1460)

Per @jplotts, I'll wait to merge this until after the holidays

http://b/379756505
---
 kaggle_requirements.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index e2c2475e..9d78d8ad 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -70,7 +70,7 @@ jupyter_server==2.12.5
 jupyterlab
 jupyterlab-lsp
 kaggle-environments
-kagglehub>=0.3.4
+kagglehub[pandas-datasets,hf-datasets]>=0.3.6
 # Keras 3.6 broke test_keras.py > test_train > keras.datasets.mnist.load_data():
 # See https://github.com/keras-team/keras/commit/dcefb139863505d166dd1325066f329b3033d45a
 keras<3.6

From ffa7d0d6752e2fca55ea39fbe27bac2f4659f685 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Mon, 13 Jan 2025 18:31:05 +0000
Subject: [PATCH 1593/1660] fixing tf 2.18 install

---
 tpu/Dockerfile       | 5 +++--
 tpu/config.txt       | 2 +-
 tpu/requirements.txt | 5 +++--
 3 files changed, 7 insertions(+), 5 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index eb39a9d6..b1f81bbd 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -6,6 +6,7 @@ FROM $BASE_IMAGE
 # See: https://docs.docker.com/engine/reference/builder/#understand-how-arg-and-from-interact
 ARG PYTHON_WHEEL_VERSION
 ARG PYTHON_VERSION_PATH
+ARG TENSORFLOW_VERSION
 ARG TORCH_LINUX_WHEEL_VERSION
 ARG TORCH_VERSION
 ARG TORCHVISION_VERSION
@@ -61,9 +62,9 @@ RUN envsubst < /kaggle_requirements.txt > /requirements.txt
 
 # Install uv and then install the requirements:
 RUN curl -LsSf https://astral.sh/uv/install.sh | sh
-RUN export PATH="${HOME}/.local/bin:${PATH}" && uv pip install --system -r /requirements.txt --prerelease=allow --find-links https://storage.googleapis.com/jax-releases/libtpu_releases.html && \
+RUN export PATH="${HOME}/.local/bin:${PATH}" && uv pip install --system -r /requirements.txt --prerelease=allow --force-reinstall && \
     /tmp/clean-layer.sh
-ENV PATH="${HOME}/.local/bin:${PATH}"
+ENV PATH="~/.local/bin:${PATH}"
 
 # Kaggle Model Hub patches:
 ADD patches/kaggle_module_resolver.py /usr/local/lib/${PYTHON_VERSION_PATH}/site-packages/tensorflow_hub/kaggle_module_resolver.py
diff --git a/tpu/config.txt b/tpu/config.txt
index 6dc04ed4..0bd198ac 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -1,7 +1,7 @@
 BASE_IMAGE=python:3.10
 PYTHON_WHEEL_VERSION=cp310
 PYTHON_VERSION_PATH=python3.10
-TF_LINUX_WHEEL_VERSION=manylinux_2_17_x86_64.manylinux2014_x86_64
+TENSORFLOW_VERSION=2.18.0
 # gsutil ls gs://pytorch-xla-releases/wheels/tpuvm/* | grep libtpu | grep torch_xla | grep -v -E ".*rc[0-9].*" | sed 's/.*torch_xla-\(.*\)+libtpu.*/\1/' | sort -rV
 # Supports nightly
 TORCH_VERSION=2.5.0
diff --git a/tpu/requirements.txt b/tpu/requirements.txt
index 4aacad18..ec6fb273 100644
--- a/tpu/requirements.txt
+++ b/tpu/requirements.txt
@@ -1,8 +1,8 @@
 # TPU Utils
 tpu-info
 # Tensorflow packages
-tensorflow-tpu>=2.18.0
--f https://storage.googleapis.com/libtpu-tf-releases/index.html
+tensorflow-tpu>=${TENSORFLOW_VERSION}
+--find-links https://storage.googleapis.com/libtpu-tf-releases/index.html
 tensorflow_hub
 tensorflow-io
 tensorflow-probability
@@ -13,6 +13,7 @@ torchaudio==${TORCHAUDIO_VERSION}
 torchvision==${TORCHVISION_VERSION}
 # Jax packages
 jax[tpu]>=0.4.34
+--find-links https://storage.googleapis.com/jax-releases/libtpu_releases.html
 distrax
 flax
 git+https://github.com/deepmind/dm-haiku

From c170f0a204bcbe6cfcc52ef86a303784fbac97ad Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Mon, 13 Jan 2025 21:40:16 +0000
Subject: [PATCH 1594/1660] use nvidia runtime for tests

---
 test | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/test b/test
index c2748e81..574b49e3 100755
--- a/test
+++ b/test
@@ -28,7 +28,7 @@ while :; do
             ;;
         -g|--gpu)
             IMAGE_TAG='kaggle/python-gpu-build'
-            ADDITONAL_OPTS='-v /tmp/empty_dir:/usr/local/cuda/lib64/stubs:ro'
+            ADDITONAL_OPTS='--runtime nvidia -v /tmp/empty_dir:/usr/local/cuda/lib64/stubs:ro'
             ;;
         -i|--image)
             if [[ -z $2 ]]; then

From e47c7efeac1abae100d0a9d1fe2ba994d09dbc3e Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Tue, 14 Jan 2025 09:49:09 -0500
Subject: [PATCH 1595/1660] Prefer building the TPU VM on a CPU agent

Hopefully this forces it to build on a newer node.
---
 Jenkinsfile | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Jenkinsfile b/Jenkinsfile
index 97d9b4bb..ea2cb9be 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -110,6 +110,7 @@ pipeline {
           }
         }
         stage('TPU VM') {
+          agent { label 'ephemeral-linux' }
           stages {
             stage('Build TPU VM Image') {
               options {

From 6050d0dac696d4adb8af048bc4de994b7d747f19 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Fri, 17 Jan 2025 15:42:31 -0500
Subject: [PATCH 1596/1660] Try to make tf 2.18 on tpu vm install reliably
 (#1469)

I'm seeing it randomly pick the CUDA enabled version for some reason.
Trying a force reinstall while maintaining existing packages to see if
that helps.
---
 tpu/Dockerfile | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index b1f81bbd..923ad2d5 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -66,6 +66,12 @@ RUN export PATH="${HOME}/.local/bin:${PATH}" && uv pip install --system -r /requ
     /tmp/clean-layer.sh
 ENV PATH="~/.local/bin:${PATH}"
 
+# Try to force tensorflow to reliably install without breaking other installed deps
+RUN export PATH="${HOME}/.local/bin:${PATH}" && \
+    uv pip freeze --system > /tmp/constraints.txt && \
+    uv pip install --system -c /tmp/constraints.txt tensorflow-tpu -f https://storage.googleapis.com/libtpu-tf-releases/index.html --force-reinstall && \
+    rm /tmp/constraints.txt
+
 # Kaggle Model Hub patches:
 ADD patches/kaggle_module_resolver.py /usr/local/lib/${PYTHON_VERSION_PATH}/site-packages/tensorflow_hub/kaggle_module_resolver.py
 RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /usr/local/lib/${PYTHON_VERSION_PATH}/site-packages/tensorflow_hub/config.py

From 738fade33bb4de2fc22fe2af8bf2748abc0075a5 Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Tue, 4 Feb 2025 16:01:54 -0800
Subject: [PATCH 1597/1660] Fix kagglehub  (#1471)

UV requires a separate flag for allowing prerelease packages to be
installed.

kagglehub install fails due to this, since sigstore (a dependency) needs
a prerelease package.
let's install it separate to allow prerelease installs.

 https://b.corp.google.com/issues/394382016
---
 Dockerfile.tmpl         | 3 +++
 kaggle_requirements.txt | 1 -
 2 files changed, 3 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index bf8b3c03..1d146441 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -28,6 +28,9 @@ ENV PATH="~/.local/bin:${PATH}"
 # b/183041606#comment5: the Kaggle data proxy doesn't support these APIs. If the library is missing, it falls back to using a regular BigQuery query to fetch data.
 RUN uv pip uninstall --system google-cloud-bigquery-storage
 
+# b/394382016: sigstore (dependency of kagglehub) requires a prerelease packages, installing separate.
+RUN uv pip install --system --force-reinstall --prerelease=allow kagglehub[pandas-datasets,hf-datasets]>=0.3.7
+
 # uv cannot install this in requirements.txt without --no-build-isolation
 # to avoid affecting the larger build, we'll post-install it.
 RUN uv pip install --no-build-isolation --system "git+https://github.com/Kaggle/learntools"
diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index 9d78d8ad..6bb69e62 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -70,7 +70,6 @@ jupyter_server==2.12.5
 jupyterlab
 jupyterlab-lsp
 kaggle-environments
-kagglehub[pandas-datasets,hf-datasets]>=0.3.6
 # Keras 3.6 broke test_keras.py > test_train > keras.datasets.mnist.load_data():
 # See https://github.com/keras-team/keras/commit/dcefb139863505d166dd1325066f329b3033d45a
 keras<3.6

From a0906f3cd6ccec655800f0598bc64337675d10b4 Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Tue, 18 Feb 2025 14:25:51 -0800
Subject: [PATCH 1598/1660] Add kagglehub optional signing features (#1473)

ditto title
---
 Dockerfile.tmpl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 1d146441..ce72ab9e 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -29,7 +29,7 @@ ENV PATH="~/.local/bin:${PATH}"
 RUN uv pip uninstall --system google-cloud-bigquery-storage
 
 # b/394382016: sigstore (dependency of kagglehub) requires a prerelease packages, installing separate.
-RUN uv pip install --system --force-reinstall --prerelease=allow kagglehub[pandas-datasets,hf-datasets]>=0.3.7
+RUN uv pip install --system --force-reinstall --prerelease=allow kagglehub[pandas-datasets,hf-datasets,signing]>=0.3.9
 
 # uv cannot install this in requirements.txt without --no-build-isolation
 # to avoid affecting the larger build, we'll post-install it.

From f2cdc779f33d5626352a533ea04fbfa6a832b774 Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Fri, 4 Apr 2025 12:50:29 -0700
Subject: [PATCH 1599/1660] Update Colab Base image to
 colab_20250219-060225_RC01 (#1475)

We are upgrading the base image to the latest release image by colab:
colab_20250219-060225_RC01

Which includes the following upgrades:
TF 2.18
Python 3.11
Cuda 12.5

This PR includes a handful of fixes to resolve conflicts related to
these upgrade. Notably issues pertaining torch and cudnn.

We also bumped lightgbm version as well

We also included a fix to tune cli package conflict.
---
 Dockerfile.tmpl         | 31 +++++++++++++++++++++++--------
 config.txt              |  6 +++---
 kaggle_requirements.txt | 19 +++----------------
 tests/test_torchtune.py |  9 +++++----
 4 files changed, 34 insertions(+), 31 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index ce72ab9e..4b3dfee5 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -31,29 +31,41 @@ RUN uv pip uninstall --system google-cloud-bigquery-storage
 # b/394382016: sigstore (dependency of kagglehub) requires a prerelease packages, installing separate.
 RUN uv pip install --system --force-reinstall --prerelease=allow kagglehub[pandas-datasets,hf-datasets,signing]>=0.3.9
 
+# b/408284143: google-cloud-automl 2.0.0 introduced incompatible API changes, need to pin to 1.0.1
+
+# b/408284435: Keras 3.6 broke test_keras.py > test_train > keras.datasets.mnist.load_data()
+# See https://github.com/keras-team/keras/commit/dcefb139863505d166dd1325066f329b3033d45a
+# Colab base is on Keras 3.8, we have to install the package separately
+RUN uv pip install --system google-cloud-automl==1.0.1 google-cloud-aiplatform google-cloud-translate==3.12.1 \
+    google-cloud-videointelligence google-cloud-vision google-genai "keras<3.6"
+
 # uv cannot install this in requirements.txt without --no-build-isolation
 # to avoid affecting the larger build, we'll post-install it.
 RUN uv pip install --no-build-isolation --system "git+https://github.com/Kaggle/learntools"
 
-# b/385161357 Latest Colab uses tf 2.17.1, but tf decision forests only has a version for 2.17.0.
-# Instead, we'll install tfdf with its deps and hope that 2.17.0 compat tfdf works with tf 2.17.1.
-RUN uv pip install --system --no-deps tensorflow-decision-forests==1.10.0 wurlitzer==3.1.1 ydf==0.9.0
+# b/408281617: Torch is adamant that it can not install cudnn 9.3.x, only 9.1.x, but Tensorflow can only support 9.3.x.
+# This conflict causes a number of package downgrades, which are handled in this command
+RUN uv pip install --system --force-reinstall --extra-index-url https://pypi.nvidia.com pynvjitlink-cu12 cuml-cu12==25.2.1 \
+    nvidia-cudnn-cu12==9.3.0.75 scipy tsfresh
+RUN uv pip install --system --force-reinstall pynvjitlink-cu12==0.5.2
 
 # b/385145217 Latest Colab lacks mkl numpy, install it.
 RUN uv pip install --system --force-reinstall -i https://pypi.anaconda.org/intel/simple numpy
 
-# b/328788268 We install an incompatible pair of libs (shapely<2, libpysal==4.9.2) so we can't put this one in the requirements.txt
 # newer daal4py requires tbb>=2022, but libpysal is downgrading it for some reason
 RUN uv pip install --system "tbb>=2022" "libpysal==4.9.2"
 
+# b/404590350: Ray and torchtune have conflicting tune cli, we will prioritize torchtune.
+RUN uv pip install --system --force-reinstall --no-deps torchtune
+
 # Adding non-package dependencies:
 
 ADD clean-layer.sh  /tmp/clean-layer.sh
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
 ADD patches/template_conf.json /opt/kaggle/conf.json
 
-# /opt/conda/lib/python3.10/site-packages
-ARG PACKAGE_PATH=/usr/local/lib/python3.10/dist-packages
+# /opt/conda/lib/python3.11/site-packages
+ARG PACKAGE_PATH=/usr/local/lib/python3.11/dist-packages
 
 # Install GPU-specific non-pip packages.
 {{ if eq .Accelerator "gpu" }}
@@ -108,6 +120,9 @@ RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing
 
 # NLTK Project datasets
+# b/408298750: We currently reinstall the package, because we get the following error:
+# `AttributeError: module 'inspect' has no attribute 'formatargspec'. Did you mean: 'formatargvalues'?`
+RUN uv pip install --system --force-reinstall "nltk>=3.9.1"
 RUN mkdir -p /usr/share/nltk_data && \
     # NLTK Downloader no longer continues smoothly after an error, so we explicitly list
     # the corpuses that work
@@ -120,7 +135,7 @@ RUN mkdir -p /usr/share/nltk_data && \
     masc_tagged maxent_ne_chunker maxent_treebank_pos_tagger moses_sample movie_reviews \
     mte_teip5 names nps_chat omw opinion_lexicon paradigms \
     pil pl196x porter_test ppattach problem_reports product_reviews_1 product_reviews_2 propbank \
-    pros_cons ptb punkt qc reuters rslp rte sample_grammars semcor senseval sentence_polarity \
+    pros_cons ptb punkt punkt_tab qc reuters rslp rte sample_grammars semcor senseval sentence_polarity \
     sentiwordnet shakespeare sinica_treebank smultron snowball_data spanish_grammars \
     state_union stopwords subjectivity swadesh switchboard tagsets timit toolbox treebank \
     twitter_samples udhr2 udhr unicode_samples universal_tagset universal_treebanks_v20 \
@@ -198,7 +213,7 @@ ADD patches/kaggle_gcp.py \
 
 # Figure out why this is in a different place?
 # Found by doing a export PYTHONVERBOSE=1 and then running python and checking for where it looked for it.
-ADD patches/sitecustomize.py /usr/lib/python3.10/sitecustomize.py
+ADD patches/sitecustomize.py /usr/lib/python3.11/sitecustomize.py
 
 ARG GIT_COMMIT=unknown \
     BUILD_DATE=unknown
diff --git a/config.txt b/config.txt
index 1da5b25b..b9cff861 100644
--- a/config.txt
+++ b/config.txt
@@ -1,5 +1,5 @@
 BASE_IMAGE=us-docker.pkg.dev/colab-images/public/runtime
-BASE_IMAGE_TAG=release-colab_20241217-060132_RC00
-LIGHTGBM_VERSION=4.5.0
+BASE_IMAGE_TAG=release-colab_20250219-060225_RC01
+LIGHTGBM_VERSION=4.6.0
 CUDA_MAJOR_VERSION=12
-CUDA_MINOR_VERSION=2
+CUDA_MINOR_VERSION=5
diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index 6bb69e62..3bc1dfd1 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -1,5 +1,4 @@
 # Please keep this in alphabetical order
---extra-index-url https://pypi.nvidia.com
 Altair>=5.4.0
 Babel
 Boruta
@@ -24,7 +23,6 @@ catboost
 category-encoders
 cesium
 comm
-cuml-cu12
 cytoolz
 dask-expr
 # Older versions of datasets fail with "Loading a dataset cached in a LocalFileSystem is not supported"
@@ -46,14 +44,6 @@ fuzzywuzzy
 geojson
 # geopandas > v0.14.4 breaks learn tools
 geopandas==v0.14.4
-google-cloud-aiplatform
-# google-cloud-automl 2.0.0 introduced incompatible API changes, need to pin to 1.0.1
-google-cloud-automl==1.0.1
-# b/315753846: Unpin translate package.
-google-cloud-translate==3.12.1
-google-cloud-videointelligence
-google-cloud-vision
-google-genai
 gpxpy
 h2o
 haversine
@@ -70,15 +60,11 @@ jupyter_server==2.12.5
 jupyterlab
 jupyterlab-lsp
 kaggle-environments
-# Keras 3.6 broke test_keras.py > test_train > keras.datasets.mnist.load_data():
-# See https://github.com/keras-team/keras/commit/dcefb139863505d166dd1325066f329b3033d45a
-keras<3.6
 keras-cv
 keras-nlp
 keras-tuner
 kornia
 langid
-leven
 # b/328788268: libpysal 4.10 seems to fail with "module 'shapely' has no attribute 'Geometry'. Did you mean: 'geometry'"
 libpysal<=4.9.2
 lime
@@ -142,12 +128,13 @@ squarify
 tensorflow-cloud
 tensorflow-io
 tensorflow-text
-# b/385161357: tf 2.17.1 does not have matching tensorflow_decision_forests release
-# tensorflow_decision_forests
+tensorflow_decision_forests
 timm
+torchao
 torchinfo
 torchmetrics
 torchtune
+triton
 tsfresh
 vtk
 wandb
diff --git a/tests/test_torchtune.py b/tests/test_torchtune.py
index b2090ecc..aab17442 100644
--- a/tests/test_torchtune.py
+++ b/tests/test_torchtune.py
@@ -1,9 +1,10 @@
 import unittest
-
 import subprocess
 
 class TestTorchtune(unittest.TestCase):
     def test_help(self):
-        ret_code = subprocess.run(["tune", "--help"])
-        self.assertEqual(0, ret_code.returncode)
-        self.assertIsNone(ret_code.stderr)
\ No newline at end of file
+        result = subprocess.run(["tune", "--help"], stdout=subprocess.PIPE)
+
+        self.assertEqual(0, result.returncode)
+        self.assertIsNone(result.stderr)
+        self.assertIn("Download a model from the Hugging Face Hub or Kaggle Model Hub.", result.stdout.decode("utf-8"))

From af1ee04eceb85969d8329decedc7f0b751a4b728 Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Mon, 7 Apr 2025 12:18:39 -0700
Subject: [PATCH 1600/1660] Adjust pins to fix learn tools tests errors 
 (#1477)

Torch and Cuml have compatibility issues, installing them outside of
requirements files removes some of our pins. Let's add them back in when
installing to ensure that pins are in place.
---
 Dockerfile.tmpl         | 8 +++++---
 kaggle_requirements.txt | 4 ----
 2 files changed, 5 insertions(+), 7 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 4b3dfee5..ae3f4e94 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -45,9 +45,11 @@ RUN uv pip install --no-build-isolation --system "git+https://github.com/Kaggle/
 
 # b/408281617: Torch is adamant that it can not install cudnn 9.3.x, only 9.1.x, but Tensorflow can only support 9.3.x.
 # This conflict causes a number of package downgrades, which are handled in this command
-RUN uv pip install --system --force-reinstall --extra-index-url https://pypi.nvidia.com pynvjitlink-cu12 cuml-cu12==25.2.1 \
-    nvidia-cudnn-cu12==9.3.0.75 scipy tsfresh
-RUN uv pip install --system --force-reinstall pynvjitlink-cu12==0.5.2
+# b/302136621: Fix eli5 import for learntools
+RUN uv pip install --system --force-reinstall --extra-index-url https://pypi.nvidia.com "cuml-cu12==25.2.1" \
+    "nvidia-cudnn-cu12==9.3.0.75" scipy tsfresh scikit-learn==1.2.2 category-encoders eli5
+
+RUN uv pip install --system --force-reinstall "pynvjitlink-cu12==0.5.2"
 
 # b/385145217 Latest Colab lacks mkl numpy, install it.
 RUN uv pip install --system --force-reinstall -i https://pypi.anaconda.org/intel/simple numpy
diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index 3bc1dfd1..159a02e8 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -20,7 +20,6 @@ arrow
 bayesian-optimization
 boto3
 catboost
-category-encoders
 cesium
 comm
 cytoolz
@@ -33,7 +32,6 @@ deap
 dipy
 docker
 easyocr
-eli5
 emoji
 fastcore>=1.7.20
 fasttext
@@ -111,8 +109,6 @@ qtconsole
 ray
 rgf-python
 s3fs
- # b/302136621: Fix eli5 import for learntools
-scikit-learn==1.2.2
 # Scikit-learn accelerated library for x86
 scikit-learn-intelex>=2023.0.1
 scikit-multilearn

From b0f0125dc52e9b4479837d907aaa091fcffff6cd Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Mon, 7 Apr 2025 14:05:52 -0700
Subject: [PATCH 1601/1660] Ensure transformers is up to date (#1479)

We fix tests to adjust for deprecated methods, we added a line to ensure
we get the latest transformers package is latest.
---
 kaggle_requirements.txt    | 1 +
 tests/test_transformers.py | 5 ++---
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index 159a02e8..002b07d2 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -130,6 +130,7 @@ torchao
 torchinfo
 torchmetrics
 torchtune
+transformers>=4.51.0
 triton
 tsfresh
 vtk
diff --git a/tests/test_transformers.py b/tests/test_transformers.py
index a81714cc..910eab30 100644
--- a/tests/test_transformers.py
+++ b/tests/test_transformers.py
@@ -1,7 +1,7 @@
 import unittest
 
 import torch
-from transformers import AdamW
+import torch.optim as optim
 import transformers.pipelines # verify this import works
 
 
@@ -10,13 +10,12 @@ def assertListAlmostEqual(self, list1, list2, tol):
         self.assertEqual(len(list1), len(list2))
         for a, b in zip(list1, list2):
             self.assertAlmostEqual(a, b, delta=tol)
-
     def test_adam_w(self):
         w = torch.tensor([0.1, -0.2, -0.1], requires_grad=True)
         target = torch.tensor([0.4, 0.2, -0.5])
         criterion = torch.nn.MSELoss()
         # No warmup, constant schedule, no gradient clipping
-        optimizer = AdamW(params=[w], lr=2e-1, weight_decay=0.0)
+        optimizer = optim.AdamW(params=[w], lr=2e-1, weight_decay=0.0)
         for _ in range(100):
             loss = criterion(w, target)
             loss.backward()

From 5545f99df08377c5e58197353a1b4d745149267f Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Mon, 7 Apr 2025 17:18:26 -0700
Subject: [PATCH 1602/1660] TPU upgrades to tf and torch, clean up dead code
 (#1480)

Since the latest colab image is now python 3.11, we should try to bump
this as well.

Also removing comments and code that are out of date
---
 tpu/Dockerfile       | 23 -----------------------
 tpu/config.txt       |  6 +++---
 tpu/requirements.txt |  4 ++--
 3 files changed, 5 insertions(+), 28 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 923ad2d5..ce68baf1 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -25,36 +25,13 @@ ADD patches/kaggle_session.py /root/.local/lib/${PYTHON_VERSION_PATH}/site-packa
 ADD patches/kaggle_web_client.py /root/.local/lib/${PYTHON_VERSION_PATH}/site-packages/kaggle_web_client.py
 ADD patches/kaggle_datasets.py /root/.local/lib/${PYTHON_VERSION_PATH}/site-packages/kaggle_datasets.py
 
-# Disable GCP integrations for now
-# ADD patches/kaggle_gcp.py /root/.local/lib/${PYTHON_VERSION_PATH}/site-packages/kaggle_gcp.py
-
-# Disable logging to file (why do we need this?)
-# ADD patches/log.py /root/.local/lib/${PYTHON_VERSION_PATH}/site-packages/log.py
-
-# sitecustomize adds significant latency to ipython kernel startup and should only be added if needed
-# ADD patches/sitecustomize.py /root/.local/lib/${PYTHON_VERSION_PATH}/site-packages/sitecustomize.py
-
 # Prereqs
 # This is needed for cv2 (opencv-python):
 # https://stackoverflow.com/questions/55313610/importerror-libgl-so-1-cannot-open-shared-object-file-no-such-file-or-directo
 RUN apt-get update && apt-get install ffmpeg libsm6 libxext6  -y
 
 # Install all the packages together for maximum compatibility.
-
-# Install Tensorflow.
-
-# Install Pytorch & related packages
-# https://cloud.google.com/tpu/docs/pytorch-xla-ug-tpu-vm#changing_pytorch_version
-# The URL doesn't include patch version. i.e. must use 1.11 instead of 1.11.0
-# We need to keep the numpy version the same as the installed tf one but compatible with other installs.
-
-# Install JAX & related packages
-# https://cloud.google.com/tpu/docs/jax-quickstart-tpu-vm#install_jax_on_your_cloud_tpu_vm
-
-# Packages needed by the Notebook editor
-
 # Additional useful packages should be added in the requirements.txt
-
 # Bring in the requirements.txt and replace variables in it:
 RUN apt-get install -y gettext
 ADD tpu/requirements.txt /kaggle_requirements.txt
diff --git a/tpu/config.txt b/tpu/config.txt
index 0bd198ac..645d2faf 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -4,9 +4,9 @@ PYTHON_VERSION_PATH=python3.10
 TENSORFLOW_VERSION=2.18.0
 # gsutil ls gs://pytorch-xla-releases/wheels/tpuvm/* | grep libtpu | grep torch_xla | grep -v -E ".*rc[0-9].*" | sed 's/.*torch_xla-\(.*\)+libtpu.*/\1/' | sort -rV
 # Supports nightly
-TORCH_VERSION=2.5.0
+TORCH_VERSION=2.6.0
 # https://github.com/pytorch/audio supports nightly
-TORCHAUDIO_VERSION=2.5.0
+TORCHAUDIO_VERSION=2.6.0
 # https://github.com/pytorch/vision supports nightly
-TORCHVISION_VERSION=0.20.0
+TORCHVISION_VERSION=0.21.0
 TORCH_LINUX_WHEEL_VERSION=manylinux_2_28_x86_64
diff --git a/tpu/requirements.txt b/tpu/requirements.txt
index ec6fb273..ba3a1bdf 100644
--- a/tpu/requirements.txt
+++ b/tpu/requirements.txt
@@ -1,13 +1,13 @@
 # TPU Utils
 tpu-info
 # Tensorflow packages
-tensorflow-tpu>=${TENSORFLOW_VERSION}
+tensorflow-tpu==${TENSORFLOW_VERSION}
 --find-links https://storage.googleapis.com/libtpu-tf-releases/index.html
 tensorflow_hub
 tensorflow-io
 tensorflow-probability
 # Torch packages
-torch~=${TORCH_VERSION}
+torch==${TORCH_VERSION}
 https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-${TORCH_VERSION}+libtpu-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TORCH_LINUX_WHEEL_VERSION}.whl
 torchaudio==${TORCHAUDIO_VERSION}
 torchvision==${TORCHVISION_VERSION}

From f48df1d9dc484870ad98f3b7e2de9b2e6eef3173 Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Tue, 8 Apr 2025 13:34:47 -0700
Subject: [PATCH 1603/1660] Update kaggle package (#1481)

Let's make sure that we install the latest version of kaggle in our
image.
cc: @stevemessick
---
 kaggle_requirements.txt | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index 002b07d2..845abb55 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -57,6 +57,9 @@ jupyter-lsp==1.5.1
 jupyter_server==2.12.5
 jupyterlab
 jupyterlab-lsp
+# b/409363708: Ensure we have the update version, we can consider removing it once
+# Colab base image is updated more frequently.
+kaggle>=1.7.4.2
 kaggle-environments
 keras-cv
 keras-nlp

From 3cdabdfe2d93025e48e3cb8f00664f137951da36 Mon Sep 17 00:00:00 2001
From: jaesong-colab <jaesong@google.com>
Date: Tue, 6 May 2025 14:28:45 -0700
Subject: [PATCH 1604/1660] Remove command to set cuda path and install uv
 (#1485)

Remove command to install uv as it is installed in the Colab base image.
Remove updating cuda path as Colab base image sets the CUDA version
---
 Dockerfile.tmpl | 14 ++------------
 1 file changed, 2 insertions(+), 12 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index ae3f4e94..144672ad 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -19,10 +19,8 @@ RUN cat /kaggle_requirements.txt >> /requirements.txt
 # TODO: GPU requirements.txt
 # TODO: merge them better (override matching ones).
 
-# Install uv & Kaggle packages
-RUN curl -LsSf https://astral.sh/uv/install.sh | sh
-RUN export PATH="${HOME}/.local/bin:${PATH}" && uv pip install --system -r /requirements.txt
-ENV PATH="~/.local/bin:${PATH}"
+# Install Kaggle packages
+RUN uv pip install --system -r /requirements.txt
 
 # Install manual packages:
 # b/183041606#comment5: the Kaggle data proxy doesn't support these APIs. If the library is missing, it falls back to using a regular BigQuery query to fetch data.
@@ -71,14 +69,6 @@ ARG PACKAGE_PATH=/usr/local/lib/python3.11/dist-packages
 
 # Install GPU-specific non-pip packages.
 {{ if eq .Accelerator "gpu" }}
-ARG CUDA_MAJOR_VERSION \
-    CUDA_MINOR_VERSION
-ENV CUDA_MAJOR_VERSION=${CUDA_MAJOR_VERSION} \
-    CUDA_MINOR_VERSION=${CUDA_MINOR_VERSION}
-
-# Make sure we are on the right version of CUDA
-RUN update-alternatives --set cuda /usr/local/cuda-$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION
-
 RUN uv pip install --system "pycuda"
 
 # b/381256047 Remove once installed in Colabs base image.

From 8a20862e6c11454ecb8f328fb4a78f6b11a2b41c Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Wed, 7 May 2025 17:05:35 -0700
Subject: [PATCH 1605/1660] Upgrade Base Image: colab_20250404-060113_RC00
 (#1484)

This particular image had issues with UV installs however does highlight
a solution and will be included in the next image:
https://github.com/googlecolab/colabtools/issues/5237

Base image also removes Gensim due to SciPy 1.14.1, we included a fix to
install both, since Gensim is a popular package 200 users per day.

Updated mocks for GCS related tests, latest version causes issues

Adding a few packages back into requirements.txt that were remove due to
fixes that have been since resolved
---
 Dockerfile.tmpl          | 29 +++++++++++++--------------
 config.txt               |  2 +-
 kaggle_requirements.txt  | 14 +++++++++++++-
 tests/test_automl.py     |  4 +++-
 tests/test_datashader.py | 42 ----------------------------------------
 tests/test_gcs.py        |  4 +++-
 tests/test_keras.py      |  9 +++++----
 7 files changed, 38 insertions(+), 66 deletions(-)
 delete mode 100644 tests/test_datashader.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 144672ad..d4a4e1c8 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -7,6 +7,10 @@ FROM gcr.io/kaggle-images/python-lightgbm-whl:${BASE_IMAGE_TAG}-${LIGHTGBM_VERSI
 {{ end }}
 FROM ${BASE_IMAGE}:${BASE_IMAGE_TAG}
 
+#b/415358342: UV reports missing requirements files https://github.com/googlecolab/colabtools/issues/5237
+ENV UV_CONSTRAINT= \ 
+    UV_BUILD_CONSTRAINT=
+
 ADD kaggle_requirements.txt /kaggle_requirements.txt
 
 # Freeze existing requirements from base image for critical packages:
@@ -27,15 +31,10 @@ RUN uv pip install --system -r /requirements.txt
 RUN uv pip uninstall --system google-cloud-bigquery-storage
 
 # b/394382016: sigstore (dependency of kagglehub) requires a prerelease packages, installing separate.
-RUN uv pip install --system --force-reinstall --prerelease=allow kagglehub[pandas-datasets,hf-datasets,signing]>=0.3.9
-
-# b/408284143: google-cloud-automl 2.0.0 introduced incompatible API changes, need to pin to 1.0.1
-
-# b/408284435: Keras 3.6 broke test_keras.py > test_train > keras.datasets.mnist.load_data()
-# See https://github.com/keras-team/keras/commit/dcefb139863505d166dd1325066f329b3033d45a
-# Colab base is on Keras 3.8, we have to install the package separately
-RUN uv pip install --system google-cloud-automl==1.0.1 google-cloud-aiplatform google-cloud-translate==3.12.1 \
-    google-cloud-videointelligence google-cloud-vision google-genai "keras<3.6"
+# b/408284143: google-cloud-automl 2.0.0 introduced incompatible API changes, need to pin to 1.0.1,
+# installed outside of kaggle_requirements.txt due to requiring an incompatibile version of protobuf.
+RUN uv pip install --system --force-reinstall --prerelease=allow kagglehub[pandas-datasets,hf-datasets,signing]>=0.3.12 \
+    google-cloud-automl==1.0.1
 
 # uv cannot install this in requirements.txt without --no-build-isolation
 # to avoid affecting the larger build, we'll post-install it.
@@ -43,10 +42,8 @@ RUN uv pip install --no-build-isolation --system "git+https://github.com/Kaggle/
 
 # b/408281617: Torch is adamant that it can not install cudnn 9.3.x, only 9.1.x, but Tensorflow can only support 9.3.x.
 # This conflict causes a number of package downgrades, which are handled in this command
-# b/302136621: Fix eli5 import for learntools
 RUN uv pip install --system --force-reinstall --extra-index-url https://pypi.nvidia.com "cuml-cu12==25.2.1" \
-    "nvidia-cudnn-cu12==9.3.0.75" scipy tsfresh scikit-learn==1.2.2 category-encoders eli5
-
+    "nvidia-cudnn-cu12==9.3.0.75"
 RUN uv pip install --system --force-reinstall "pynvjitlink-cu12==0.5.2"
 
 # b/385145217 Latest Colab lacks mkl numpy, install it.
@@ -56,10 +53,10 @@ RUN uv pip install --system --force-reinstall -i https://pypi.anaconda.org/intel
 RUN uv pip install --system "tbb>=2022" "libpysal==4.9.2"
 
 # b/404590350: Ray and torchtune have conflicting tune cli, we will prioritize torchtune.
-RUN uv pip install --system --force-reinstall --no-deps torchtune
+# b/415358158: Gensim removed from Colab image to upgrade scipy
+RUN uv pip install --system --force-reinstall --no-deps torchtune gensim
 
 # Adding non-package dependencies:
-
 ADD clean-layer.sh  /tmp/clean-layer.sh
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
 ADD patches/template_conf.json /opt/kaggle/conf.json
@@ -171,13 +168,13 @@ RUN mkdir -p /root/.jupyter && touch /root/.jupyter/jupyter_nbconvert_config.py
     mkdir -p /etc/ipython/ && echo "c = get_config(); c.IPKernelApp.matplotlib = 'inline'" > /etc/ipython/ipython_config.py && \
     /tmp/clean-layer.sh
 
-# Fix to import bq_helper library without downgrading setuptools
+# Fix to import bq_helper library without downgrading setuptools and upgrading protobuf
 RUN mkdir -p ~/src && git clone https://github.com/SohierDane/BigQuery_Helper ~/src/BigQuery_Helper && \
     mkdir -p ~/src/BigQuery_Helper/bq_helper && \
     mv ~/src/BigQuery_Helper/bq_helper.py ~/src/BigQuery_Helper/bq_helper/__init__.py && \
     mv ~/src/BigQuery_Helper/test_helper.py ~/src/BigQuery_Helper/bq_helper/ && \
     sed -i 's/)/packages=["bq_helper"])/g' ~/src/BigQuery_Helper/setup.py && \
-    uv pip install --system -e ~/src/BigQuery_Helper && \
+    uv pip install --system -e ~/src/BigQuery_Helper "protobuf<3.21"&& \
     /tmp/clean-layer.sh
 
 
diff --git a/config.txt b/config.txt
index b9cff861..cfe8026a 100644
--- a/config.txt
+++ b/config.txt
@@ -1,5 +1,5 @@
 BASE_IMAGE=us-docker.pkg.dev/colab-images/public/runtime
-BASE_IMAGE_TAG=release-colab_20250219-060225_RC01
+BASE_IMAGE_TAG=release-colab_20250404-060113_RC00
 LIGHTGBM_VERSION=4.6.0
 CUDA_MAJOR_VERSION=12
 CUDA_MINOR_VERSION=5
diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index 845abb55..22b26470 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -20,6 +20,7 @@ arrow
 bayesian-optimization
 boto3
 catboost
+category-encoders
 cesium
 comm
 cytoolz
@@ -27,11 +28,12 @@ dask-expr
 # Older versions of datasets fail with "Loading a dataset cached in a LocalFileSystem is not supported"
 # https://stackoverflow.com/questions/77433096/notimplementederror-loading-a-dataset-cached-in-a-localfilesystem-is-not-suppor
 datasets>=2.14.6
-datashader
 deap
 dipy
 docker
 easyocr
+# b/302136621: Fix eli5 import for learntools
+eli5
 emoji
 fastcore>=1.7.20
 fasttext
@@ -42,6 +44,13 @@ fuzzywuzzy
 geojson
 # geopandas > v0.14.4 breaks learn tools
 geopandas==v0.14.4
+gensim
+google-cloud-aiplatform
+# b/315753846: Unpin translate package.
+google-cloud-translate==3.12.1
+google-cloud-videointelligence
+google-cloud-vision
+google-genai
 gpxpy
 h2o
 haversine
@@ -112,12 +121,15 @@ qtconsole
 ray
 rgf-python
 s3fs
+scikit-learn==1.2.2
 # Scikit-learn accelerated library for x86
 scikit-learn-intelex>=2023.0.1
 scikit-multilearn
 scikit-optimize
 scikit-plot
 scikit-surprise
+# b/415358158: Gensim removed from Colab image to upgrade scipy to 1.14.1
+scipy==1.15.1
 # Also pinning seaborn for learntools
 seaborn==0.12.2
 git+https://github.com/facebookresearch/segment-anything.git
diff --git a/tests/test_automl.py b/tests/test_automl.py
index 63c34c69..9a048b14 100644
--- a/tests/test_automl.py
+++ b/tests/test_automl.py
@@ -8,7 +8,9 @@
 
 def _make_credentials():
     import google.auth.credentials
-    return Mock(spec=google.auth.credentials.Credentials)
+    credentials = Mock(spec=google.auth.credentials.Credentials)
+    credentials.universe_domain = 'googleapis.com'
+    return credentials
 
 class TestAutoMl(unittest.TestCase):
 
diff --git a/tests/test_datashader.py b/tests/test_datashader.py
deleted file mode 100644
index ad3afe15..00000000
--- a/tests/test_datashader.py
+++ /dev/null
@@ -1,42 +0,0 @@
-import unittest
-
-from common import p100_exempt
-
-class TestDatashader(unittest.TestCase):
-
-    @p100_exempt # b/342143152: Uses cuDF(>=24.4v), which is no longer capitble with p100 GPUs.
-    def test_pipeline(self):
-        # based on https://github.com/pyviz/datashader/blob/master/datashader/tests/test_pipeline.py
-        import numpy as np
-        import pandas as pd
-        import datashader as ds
-        import datashader.transfer_functions as tf
-
-        df = pd.DataFrame({
-            'x': np.array(([0.] * 10 + [1] * 10)),
-            'y': np.array(([0.] * 5 + [1] * 5 + [0] * 5 + [1] * 5)),
-            'f64': np.arange(20, dtype='f8')
-        })
-        df.f64.iloc[2] = np.nan
-
-        cvs = ds.Canvas(plot_width=2, plot_height=2, x_range=(0, 1), y_range=(0, 1))
-
-        pipeline = ds.Pipeline(df, ds.Point('x', 'y'))
-        img = pipeline((0, 1), (0, 1), 2, 2)
-        agg = cvs.points(df, 'x', 'y', ds.count())
-        self.assertTrue(img.equals(tf.shade(agg)))
-
-        color_fn = lambda agg: tf.shade(agg, 'pink', 'red')
-        pipeline.color_fn = color_fn
-        img = pipeline((0, 1), (0, 1), 2, 2)
-        self.assertTrue(img.equals(color_fn(agg)))
-
-        transform_fn = lambda agg: agg + 1
-        pipeline.transform_fn = transform_fn
-        img = pipeline((0, 1), (0, 1), 2, 2)
-        self.assertTrue(img.equals(color_fn(transform_fn(agg))))
-
-        pipeline = ds.Pipeline(df, ds.Point('x', 'y'), ds.sum('f64'))
-        img = pipeline((0, 1), (0, 1), 2, 2)
-        agg = cvs.points(df, 'x', 'y', ds.sum('f64'))
-        self.assertTrue(img.equals(tf.shade(agg)))
diff --git a/tests/test_gcs.py b/tests/test_gcs.py
index eb15ea5f..94da58c9 100644
--- a/tests/test_gcs.py
+++ b/tests/test_gcs.py
@@ -8,7 +8,9 @@
 
 def _make_credentials():
     import google.auth.credentials
-    return Mock(spec=google.auth.credentials.Credentials)
+    credentials = Mock(spec=google.auth.credentials.Credentials)
+    credentials.universe_domain = 'googleapis.com'
+    return credentials
 
 class TestStorage(unittest.TestCase):
 
diff --git a/tests/test_keras.py b/tests/test_keras.py
index 22cb6f9f..5dc4610d 100644
--- a/tests/test_keras.py
+++ b/tests/test_keras.py
@@ -9,10 +9,11 @@
 
 class TestKeras(unittest.TestCase):
     def test_train(self):
-        # Load the data and split it between train and test sets
-        (x_train, y_train), (x_test, y_test) = keras.datasets.mnist.load_data(
-            path='/input/tests/data/mnist.npz'
-        )
+        path = '/input/tests/data/mnist.npz'
+        with np.load(path) as f:
+            x_train, y_train = f['x_train'], f['y_train']
+            x_test, y_test = f['x_test'], f['y_test']
+
 
         # Scale images to the [0, 1] range
         x_train = x_train.astype("float32") / 255

From ddcafd25480e308fa699e0ed09f5f90a31286a4e Mon Sep 17 00:00:00 2001
From: jaesong-colab <jaesong@google.com>
Date: Thu, 8 May 2025 09:58:54 -0700
Subject: [PATCH 1606/1660] Remove setting CUDA_VERSION to empty string and
 deprecated apt-key (#1486)

Remove setting CUDA_VERSION to empty string for CPU images. Remove
getting deprecated apt-key.gpg key file from
https://packages.cloud.google.com/
---
 Dockerfile.tmpl   | 8 --------
 tests/common.py   | 5 ++++-
 tests/test_jax.py | 4 ++--
 3 files changed, 6 insertions(+), 11 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index d4a4e1c8..9ca776a9 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -78,17 +78,9 @@ RUN apt-get install -y ocl-icd-libopencl1 clinfo && \
     uv pip install --system /tmp/lightgbm/*.whl && \
     rm -rf /tmp/lightgbm && \
     /tmp/clean-layer.sh
-
-# Remove CUDA_VERSION from non-GPU image.
-{{ else }}
-ENV CUDA_VERSION=""
 {{ end }}
 
 
-# Update GPG key per documentation at https://cloud.google.com/compute/docs/troubleshooting/known-issues
-RUN curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key add -
-RUN curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key --keyring /usr/share/keyrings/cloud.google.gpg add -
-
 # Use a fixed apt-get repo to stop intermittent failures due to flaky httpredir connections,
 # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
 RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \
diff --git a/tests/common.py b/tests/common.py
index 30a7bb0f..469033dd 100644
--- a/tests/common.py
+++ b/tests/common.py
@@ -11,7 +11,10 @@ def getAcceleratorName():
     except FileNotFoundError:
         return("nvidia-smi not found.")
 
-gpu_test = unittest.skipIf(len(os.environ.get('CUDA_VERSION', '')) == 0, 'Not running GPU tests')
+def isGPU():
+    return os.path.isfile('/proc/driver/nvidia/version')
+
+gpu_test = unittest.skipIf(not isGPU(), 'Not running GPU tests')
 # b/342143152 P100s are slowly being unsupported in new release of popular ml tools such as RAPIDS. 
 p100_exempt = unittest.skipIf(getAcceleratorName() == "Tesla P100-PCIE-16GB", 'Not running p100 exempt tests')
 tpu_test = unittest.skipIf(len(os.environ.get('ISTPUVM', '')) == 0, 'Not running TPU tests')
diff --git a/tests/test_jax.py b/tests/test_jax.py
index b5e0898e..f8eca3bb 100644
--- a/tests/test_jax.py
+++ b/tests/test_jax.py
@@ -6,7 +6,7 @@
 import jax
 import jax.numpy as np
 
-from common import gpu_test
+from common import gpu_test, isGPU
 from jax import grad, jit
 
 
@@ -21,5 +21,5 @@ def test_grad(self):
         self.assertEqual(0.4199743, ag)
 
     def test_backend(self):
-        expected_backend = 'cpu' if len(os.environ.get('CUDA_VERSION', '')) == 0 else 'gpu'
+        expected_backend = 'cpu' if not isGPU() else 'gpu'
         self.assertEqual(expected_backend, jax.default_backend())

From 987863d34740b65715c71cdebc5a038609a03dff Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Wed, 25 Jun 2025 17:26:35 +0000
Subject: [PATCH 1607/1660] Clean up lightgbm install and fix build (#1488)

Bumping up the base image version to the latest.

Good news, Colab installs lightgbm on both CPU and GPU,
Bad news seems like the way they installed the package seems to give
issues.

I assume they install lightgbm in a similar manner to us, build the
wheel and install in a tmp folder.

UV PIP doesn't like this and errors at install requirement file step:
error: Distribution not found at:
file:///tmp/lightgbm/LightGBM/dist/lightgbm-4.5.0-py3-none-linux_x86_64.whl

Removing our pin on the package fixes the build.

I could also introduce a pin for lightgbm, but this could be
problematic, as we'll continuously have to update the pining.
---
 Dockerfile.tmpl              | 23 ++---------------------
 Jenkinsfile                  | 23 -----------------------
 config.txt                   |  3 +--
 packages/lightgbm.Dockerfile | 30 ------------------------------
 4 files changed, 3 insertions(+), 76 deletions(-)
 delete mode 100644 packages/lightgbm.Dockerfile

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 9ca776a9..1dc4c0fa 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -1,20 +1,12 @@
 ARG BASE_IMAGE \
-    BASE_IMAGE_TAG \
-    LIGHTGBM_VERSION
+    BASE_IMAGE_TAG
 
-{{ if eq .Accelerator "gpu" }}
-FROM gcr.io/kaggle-images/python-lightgbm-whl:${BASE_IMAGE_TAG}-${LIGHTGBM_VERSION} AS lightgbm_whl
-{{ end }}
 FROM ${BASE_IMAGE}:${BASE_IMAGE_TAG}
 
-#b/415358342: UV reports missing requirements files https://github.com/googlecolab/colabtools/issues/5237
-ENV UV_CONSTRAINT= \ 
-    UV_BUILD_CONSTRAINT=
-
 ADD kaggle_requirements.txt /kaggle_requirements.txt
 
 # Freeze existing requirements from base image for critical packages:
-RUN pip freeze | grep -E 'tensorflow|keras|torch|jax|lightgbm' > /colab_requirements.txt
+RUN pip freeze | grep -E 'tensorflow|keras|torch|jax' > /colab_requirements.txt
 
 # Merge requirements files:
 RUN cat /colab_requirements.txt >> /requirements.txt
@@ -67,17 +59,6 @@ ARG PACKAGE_PATH=/usr/local/lib/python3.11/dist-packages
 # Install GPU-specific non-pip packages.
 {{ if eq .Accelerator "gpu" }}
 RUN uv pip install --system "pycuda"
-
-# b/381256047 Remove once installed in Colabs base image.
-# Install LightGBM
-COPY --from=lightgbm_whl /tmp/whl/*.whl /tmp/lightgbm/
-# Install OpenCL (required by LightGBM GPU version)
-RUN apt-get install -y ocl-icd-libopencl1 clinfo && \
-    mkdir -p /etc/OpenCL/vendors && \
-    echo "libnvidia-opencl.so.1" > /etc/OpenCL/vendors/nvidia.icd && \
-    uv pip install --system /tmp/lightgbm/*.whl && \
-    rm -rf /tmp/lightgbm && \
-    /tmp/clean-layer.sh
 {{ end }}
 
 
diff --git a/Jenkinsfile b/Jenkinsfile
index ea2cb9be..906e0464 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -21,29 +21,6 @@ pipeline {
   }
 
   stages {
-    stage('Pre-build Packages from Source') {
-      stages {
-        stage('lightgbm') {
-          options {
-            timeout(time: 10, unit: 'MINUTES')
-          }
-          steps {
-            sh '''#!/bin/bash
-              set -exo pipefail
-              source config.txt
-              cd packages/
-              ./build_package --base-image $BASE_IMAGE:$BASE_IMAGE_TAG \
-                --package lightgbm \
-                --version $LIGHTGBM_VERSION \
-                --build-arg CUDA_MAJOR_VERSION=$CUDA_MAJOR_VERSION \
-                --build-arg CUDA_MINOR_VERSION=$CUDA_MINOR_VERSION \
-                --push
-            '''
-          }
-        }
-      }
-    }
-
     stage('Build/Test/Diff') {
       parallel {
         stage('CPU') {
diff --git a/config.txt b/config.txt
index cfe8026a..d3829bcf 100644
--- a/config.txt
+++ b/config.txt
@@ -1,5 +1,4 @@
 BASE_IMAGE=us-docker.pkg.dev/colab-images/public/runtime
-BASE_IMAGE_TAG=release-colab_20250404-060113_RC00
-LIGHTGBM_VERSION=4.6.0
+BASE_IMAGE_TAG=release-colab_20250603-060055_RC00
 CUDA_MAJOR_VERSION=12
 CUDA_MINOR_VERSION=5
diff --git a/packages/lightgbm.Dockerfile b/packages/lightgbm.Dockerfile
deleted file mode 100644
index 376eaaef..00000000
--- a/packages/lightgbm.Dockerfile
+++ /dev/null
@@ -1,30 +0,0 @@
-ARG BASE_IMAGE
-
-FROM ${BASE_IMAGE} AS builder
-
-ARG PACKAGE_VERSION
-ARG CUDA_MAJOR_VERSION
-ARG CUDA_MINOR_VERSION
-
-# Make sure we are on the right version of CUDA
-RUN update-alternatives --set cuda /usr/local/cuda-$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION
-
-# Build instructions: https://lightgbm.readthedocs.io/en/latest/GPU-Tutorial.html#build-lightgbm
-RUN apt-get update && \
-    apt-get install -y build-essential cmake libboost-dev libboost-system-dev libboost-filesystem-dev clinfo nvidia-opencl-dev opencl-headers
-
-RUN cd /usr/local/src && \
-    git clone --recursive https://github.com/microsoft/LightGBM && \
-    cd LightGBM && \
-    git checkout tags/v$PACKAGE_VERSION && \
-    ./build-python.sh bdist_wheel  --gpu --opencl-library=/usr/local/cuda/lib64/libOpenCL.so --opencl-include-dir=/usr/local/cuda/include/
-
-# Using multi-stage builds to ensure the output image is very small
-# See: https://docs.docker.com/develop/develop-images/multistage-build/
-FROM alpine:latest
-
-RUN mkdir -p /tmp/whl/
-COPY --from=builder /usr/local/src/LightGBM/dist/*.whl /tmp/whl
-
-# Print out the built .whl file.
-RUN ls -lh /tmp/whl/
\ No newline at end of file

From f6db354afe8a5395a98f35113814f0eaaa7c3fbe Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Fri, 27 Jun 2025 00:45:37 +0000
Subject: [PATCH 1608/1660] Fix torch tune, keras, tensorflow tests (#1489)

Looks like torch tune changed the output of the --help command, this
cause issues with our smoke tests.
Keras, along with other package had issues with existing issues with
cudnn downgrading due to torch requirements, we pinned relevant tests.
---
 Dockerfile.tmpl         |  7 +++++--
 kaggle_requirements.txt |  5 ++---
 tests/test_torchtune.py | 12 +++++++++---
 3 files changed, 16 insertions(+), 8 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 1dc4c0fa..8f698612 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -35,7 +35,10 @@ RUN uv pip install --no-build-isolation --system "git+https://github.com/Kaggle/
 # b/408281617: Torch is adamant that it can not install cudnn 9.3.x, only 9.1.x, but Tensorflow can only support 9.3.x.
 # This conflict causes a number of package downgrades, which are handled in this command
 RUN uv pip install --system --force-reinstall --extra-index-url https://pypi.nvidia.com "cuml-cu12==25.2.1" \
-    "nvidia-cudnn-cu12==9.3.0.75"
+    "nvidia-cudnn-cu12==9.3.0.75" "nvidia-cublas-cu12==12.5.3.2" "nvidia-cusolver-cu12==11.6.3.83" \
+    "nvidia-cuda-cupti-cu12==12.5.82" "nvidia-cuda-nvrtc-cu12==12.5.82" "nvidia-cuda-runtime-cu12==12.5.82" \
+    "nvidia-cufft-cu12==11.2.3.61" "nvidia-curand-cu12==10.3.6.82" "nvidia-cusparse-cu12==12.5.1.3" \
+    "nvidia-nvjitlink-cu12==12.5.82"
 RUN uv pip install --system --force-reinstall "pynvjitlink-cu12==0.5.2"
 
 # b/385145217 Latest Colab lacks mkl numpy, install it.
@@ -46,7 +49,7 @@ RUN uv pip install --system "tbb>=2022" "libpysal==4.9.2"
 
 # b/404590350: Ray and torchtune have conflicting tune cli, we will prioritize torchtune.
 # b/415358158: Gensim removed from Colab image to upgrade scipy
-RUN uv pip install --system --force-reinstall --no-deps torchtune gensim
+RUN uv pip install --system --force-reinstall --no-deps torchtune gensim "scipy<=1.15.3"
 
 # Adding non-package dependencies:
 ADD clean-layer.sh  /tmp/clean-layer.sh
diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index 22b26470..cc43b8c2 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -121,6 +121,7 @@ qtconsole
 ray
 rgf-python
 s3fs
+# b/302136621: Fix eli5 import for learntools
 scikit-learn==1.2.2
 # Scikit-learn accelerated library for x86
 scikit-learn-intelex>=2023.0.1
@@ -128,12 +129,10 @@ scikit-multilearn
 scikit-optimize
 scikit-plot
 scikit-surprise
-# b/415358158: Gensim removed from Colab image to upgrade scipy to 1.14.1
-scipy==1.15.1
 # Also pinning seaborn for learntools
 seaborn==0.12.2
 git+https://github.com/facebookresearch/segment-anything.git
-# b/329869023 shap 0.45.0 breaks learntools
+# b/329869023: shap 0.45.0 breaks learntools
 shap==0.44.1
 squarify
 tensorflow-cloud
diff --git a/tests/test_torchtune.py b/tests/test_torchtune.py
index aab17442..c4a702fd 100644
--- a/tests/test_torchtune.py
+++ b/tests/test_torchtune.py
@@ -3,8 +3,14 @@
 
 class TestTorchtune(unittest.TestCase):
     def test_help(self):
-        result = subprocess.run(["tune", "--help"], stdout=subprocess.PIPE)
+        result = subprocess.run(
+            ["tune", "--help"], 
+            capture_output=True,
+            text=True
+        )
 
         self.assertEqual(0, result.returncode)
-        self.assertIsNone(result.stderr)
-        self.assertIn("Download a model from the Hugging Face Hub or Kaggle Model Hub.", result.stdout.decode("utf-8"))
+        self.assertIn(
+            "Download a model from the Hugging Face Hub or Kaggle", 
+            result.stdout
+        )

From 0eb38ee5b80e4003101469c19d6da1f4353d5960 Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Tue, 1 Jul 2025 14:38:01 -0700
Subject: [PATCH 1609/1660] Bump Colab Base Image - July (#1490)

let's bump the image, this was released a couple days ago. while we were
planning a release with the prior Base image, let's save us a release
and get our self to the latest
---
 config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/config.txt b/config.txt
index d3829bcf..61395f5e 100644
--- a/config.txt
+++ b/config.txt
@@ -1,4 +1,4 @@
 BASE_IMAGE=us-docker.pkg.dev/colab-images/public/runtime
-BASE_IMAGE_TAG=release-colab_20250603-060055_RC00
+BASE_IMAGE_TAG=release-colab_20250626-060053_RC00
 CUDA_MAJOR_VERSION=12
 CUDA_MINOR_VERSION=5

From 4d494f144d2915ad83b198a526c4623d3e087fce Mon Sep 17 00:00:00 2001
From: Eric Johnson <65414824+metrizable@users.noreply.github.com>
Date: Wed, 17 Sep 2025 20:42:58 -0700
Subject: [PATCH 1610/1660] Upgrade TPU image to Python 3.11.Tpupy311 (#1493)

Python 3.10 is entering its [last year of
support](https://devguide.python.org/versions/) before end-of-life and
many packages, including [NumPy](https://devguide.python.org/versions/),
have dropped support for it altogether.

Included in this change:

* Upgrade the TPU docker image to derive from `python:3.11`.
* Upgrade `tensorflow` to 2.20.0.
* Upgrade `jax` to >=0.5.2. For a compatible dep closure, this installs
`jax` 0.7.2 re: `tensorflow-tpu` dep on`libtpu`.
* Upgrade `torch` (and ecosystem) to 2.8.0. Of note, there is no wheel
with a `+libtpu` label.
* Remove unneeded environment variable.

Tested:

Locally, by invoking `./tpu/build`:

> <img width="1116" height="297" alt="9jyLVT6hAPjKaCh"
src="https://github.com/user-attachments/assets/e1c8e37e-5e65-4f43-807f-4ffca8d6b6ac"
/>

Also invoked other back-end testing.
---
 tpu/Dockerfile       |  1 -
 tpu/config.txt       | 14 +++++++-------
 tpu/requirements.txt |  4 ++--
 3 files changed, 9 insertions(+), 10 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index ce68baf1..fd0c0684 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -55,7 +55,6 @@ RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tens
 RUN sed -i '/_install_default_resolvers()/a \ \ registry.resolver.add_implementation(kaggle_module_resolver.KaggleFileResolver())' /usr/local/lib/${PYTHON_VERSION_PATH}/site-packages/tensorflow_hub/config.py
 
 # Set these env vars so that they don't produce errs calling the metadata server to load them:
-ENV TPU_ACCELERATOR_TYPE=v3-8
 ENV TPU_PROCESS_ADDRESSES=local
 
 # Metadata
diff --git a/tpu/config.txt b/tpu/config.txt
index 645d2faf..b399a592 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -1,12 +1,12 @@
-BASE_IMAGE=python:3.10
-PYTHON_WHEEL_VERSION=cp310
-PYTHON_VERSION_PATH=python3.10
-TENSORFLOW_VERSION=2.18.0
+BASE_IMAGE=python:3.11
+PYTHON_WHEEL_VERSION=cp311
+PYTHON_VERSION_PATH=python3.11
+TENSORFLOW_VERSION=2.20.0
 # gsutil ls gs://pytorch-xla-releases/wheels/tpuvm/* | grep libtpu | grep torch_xla | grep -v -E ".*rc[0-9].*" | sed 's/.*torch_xla-\(.*\)+libtpu.*/\1/' | sort -rV
 # Supports nightly
-TORCH_VERSION=2.6.0
+TORCH_VERSION=2.8.0
 # https://github.com/pytorch/audio supports nightly
-TORCHAUDIO_VERSION=2.6.0
+TORCHAUDIO_VERSION=2.8.0
 # https://github.com/pytorch/vision supports nightly
-TORCHVISION_VERSION=0.21.0
+TORCHVISION_VERSION=0.23.0
 TORCH_LINUX_WHEEL_VERSION=manylinux_2_28_x86_64
diff --git a/tpu/requirements.txt b/tpu/requirements.txt
index ba3a1bdf..c4b0cc58 100644
--- a/tpu/requirements.txt
+++ b/tpu/requirements.txt
@@ -8,11 +8,11 @@ tensorflow-io
 tensorflow-probability
 # Torch packages
 torch==${TORCH_VERSION}
-https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-${TORCH_VERSION}+libtpu-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TORCH_LINUX_WHEEL_VERSION}.whl
+https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-${TORCH_VERSION}-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TORCH_LINUX_WHEEL_VERSION}.whl
 torchaudio==${TORCHAUDIO_VERSION}
 torchvision==${TORCHVISION_VERSION}
 # Jax packages
-jax[tpu]>=0.4.34
+jax[tpu]>=0.5.2
 --find-links https://storage.googleapis.com/jax-releases/libtpu_releases.html
 distrax
 flax

From da65765599c2f8d6d65a0ceb665270d3035adf8d Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Thu, 18 Sep 2025 00:34:16 -0400
Subject: [PATCH 1611/1660] Add tunix to tpu (#1494)

---
 tpu/requirements.txt | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/tpu/requirements.txt b/tpu/requirements.txt
index c4b0cc58..f31a2e51 100644
--- a/tpu/requirements.txt
+++ b/tpu/requirements.txt
@@ -6,6 +6,7 @@ tensorflow-tpu==${TENSORFLOW_VERSION}
 tensorflow_hub
 tensorflow-io
 tensorflow-probability
+tensorflow_datasets
 # Torch packages
 torch==${TORCH_VERSION}
 https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-${TORCH_VERSION}-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TORCH_LINUX_WHEEL_VERSION}.whl
@@ -20,6 +21,10 @@ git+https://github.com/deepmind/dm-haiku
 jraph
 optax
 trax
+# Tunix GRPO
+git+https://github.com/google/tunix
+git+https://github.com/google/qwix
+grain
 # Jupyter packages
 jupyter-lsp==1.5.1
 jupyterlab
@@ -38,6 +43,7 @@ albumentations
 diffusers
 einops
 fastparquet
+ipywidgets
 matplotlib
 opencv-python
 opencv-python-headless

From d019ef74b14fa4281074e1e8709f077e8fbc78c7 Mon Sep 17 00:00:00 2001
From: Eric Johnson <65414824+metrizable@users.noreply.github.com>
Date: Thu, 18 Sep 2025 13:24:17 -0700
Subject: [PATCH 1612/1660] Include the default PyPI for missing libucx-cu12
 package version. (#1495)

The CPU/GPU container image builds are currently broken due to
dependency resolution failures:

<img width="856" height="242" alt="9MgPMDp9qN8qCqf"
src="https://github.com/user-attachments/assets/b30c6024-0391-4c54-a441-502847673d7c"
/>

It appears, this version was removed from the Nvidia index since the
last build.

<img width="1099" height="281" alt="6NFm9uDQDA5efcV"
src="https://github.com/user-attachments/assets/c4756d56-4f21-43fc-8591-3eccfcb74dc0"
/>

We ensure that a compatible package version `libucx-cu12==1.18.1` is
available by including the default PyPI and specifying an appropriate
[index
strategy](https://docs.astral.sh/uv/concepts/indexes/#searching-across-multiple-indexes)
to `uv`.

In the near future, we may want to consider upgrading `cuml-cu12` and
ecosystem to 25.6 or later.
---
 Dockerfile.tmpl         |  6 +++--
 kaggle_requirements.txt |  9 +++++--
 tests/test_fastai.py    | 59 +++++++++++++++++++++--------------------
 3 files changed, 41 insertions(+), 33 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 8f698612..1b63837d 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -34,7 +34,9 @@ RUN uv pip install --no-build-isolation --system "git+https://github.com/Kaggle/
 
 # b/408281617: Torch is adamant that it can not install cudnn 9.3.x, only 9.1.x, but Tensorflow can only support 9.3.x.
 # This conflict causes a number of package downgrades, which are handled in this command
-RUN uv pip install --system --force-reinstall --extra-index-url https://pypi.nvidia.com "cuml-cu12==25.2.1" \
+RUN uv pip install \
+    --index-url https://pypi.nvidia.com --extra-index-url https://pypi.org/simple/ --index-strategy unsafe-first-match \
+    --system --force-reinstall "cuml-cu12==25.2.1" \
     "nvidia-cudnn-cu12==9.3.0.75" "nvidia-cublas-cu12==12.5.3.2" "nvidia-cusolver-cu12==11.6.3.83" \
     "nvidia-cuda-cupti-cu12==12.5.82" "nvidia-cuda-nvrtc-cu12==12.5.82" "nvidia-cuda-runtime-cu12==12.5.82" \
     "nvidia-cufft-cu12==11.2.3.61" "nvidia-curand-cu12==10.3.6.82" "nvidia-cusparse-cu12==12.5.1.3" \
@@ -171,7 +173,7 @@ ENV PYTHONUSERBASE="/root/.local"
 ADD patches/kaggle_gcp.py \
     patches/kaggle_secrets.py \
     patches/kaggle_session.py \
-    patches/kaggle_web_client.py \ 
+    patches/kaggle_web_client.py \
     patches/kaggle_datasets.py \
     patches/log.py \
     $PACKAGE_PATH/
diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index cc43b8c2..03c489b4 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -35,7 +35,10 @@ easyocr
 # b/302136621: Fix eli5 import for learntools
 eli5
 emoji
-fastcore>=1.7.20
+fastcore
+# b/445960030: Requires a newer version of fastai than the currently used base image.
+# Remove when relying on a newer base image.
+fastai>=2.8.4
 fasttext
 featuretools
 fiona
@@ -89,7 +92,9 @@ nbconvert==6.4.5
 nbdev
 nilearn
 olefile
-onnx
+# b/445960030: Broken in 1.19.0. See https://github.com/onnx/onnx/issues/7249.
+# Fixed with https://github.com/onnx/onnx/pull/7254. Upgrade when version with fix is published.
+onnx==1.18.0
 openslide-bin
 openslide-python
 optuna
diff --git a/tests/test_fastai.py b/tests/test_fastai.py
index 49bce0ac..33a436a5 100644
--- a/tests/test_fastai.py
+++ b/tests/test_fastai.py
@@ -1,35 +1,36 @@
 import unittest
 
 import fastai
-
 from fastai.tabular.all import *
 
+
 class TestFastAI(unittest.TestCase):
-    # Basic import
-    def test_basic(self):
-        import fastai
-        import fastcore
-        import fastprogress
-        import fastdownload
-
-    def test_has_version(self):
-        self.assertGreater(len(fastai.__version__), 2)
-    
-    # based on https://github.com/fastai/fastai/blob/master/tests/test_torch_core.py#L17
-    def test_torch_tensor(self):
-        a = tensor([1, 2, 3])
-        b = torch.tensor([1, 2, 3])
-
-        self.assertTrue(torch.all(a == b))
-
-    def test_tabular(self):
-        dls = TabularDataLoaders.from_csv(
-            "/input/tests/data/train.csv",
-            cont_names=["pixel"+str(i) for i in range(784)],
-            y_names='label',
-            procs=[FillMissing, Categorify, Normalize])
-        learn = tabular_learner(dls, layers=[200, 100])
-        with learn.no_bar():
-            learn.fit_one_cycle(n_epoch=1)
-        
-            self.assertGreater(learn.smooth_loss, 0)
+  # Basic import
+  def test_basic(self):
+    import fastai
+    import fastcore
+    import fastprogress
+    import fastdownload
+
+  def test_has_version(self):
+    self.assertGreater(len(fastai.__version__), 2)
+
+  # based on https://github.com/fastai/fastai/blob/master/tests/test_torch_core.py#L17
+  def test_torch_tensor(self):
+    a = tensor([1, 2, 3])
+    b = torch.tensor([1, 2, 3])
+
+    self.assertTrue(torch.all(a == b))
+
+  def test_tabular(self):
+    dls = TabularDataLoaders.from_csv(
+        "/input/tests/data/train.csv",
+        cont_names=["pixel" + str(i) for i in range(784)],
+        y_names="label",
+        procs=[FillMissing, Categorify, Normalize],
+    )
+    learn = tabular_learner(dls, layers=[200, 100])
+    with learn.no_bar():
+      learn.fit_one_cycle(n_epoch=1)
+
+      self.assertGreater(learn.smooth_loss, 0)

From 506c34b7805b1f545c544daf75fd5feb4c3c10ac Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Mon, 22 Sep 2025 10:24:06 -0400
Subject: [PATCH 1613/1660] Python 3.12 bump (#1496)

---
 tpu/config.txt | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/tpu/config.txt b/tpu/config.txt
index b399a592..ab933ba7 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -1,6 +1,6 @@
-BASE_IMAGE=python:3.11
-PYTHON_WHEEL_VERSION=cp311
-PYTHON_VERSION_PATH=python3.11
+BASE_IMAGE=python:3.12
+PYTHON_WHEEL_VERSION=cp312
+PYTHON_VERSION_PATH=python3.12
 TENSORFLOW_VERSION=2.20.0
 # gsutil ls gs://pytorch-xla-releases/wheels/tpuvm/* | grep libtpu | grep torch_xla | grep -v -E ".*rc[0-9].*" | sed 's/.*torch_xla-\(.*\)+libtpu.*/\1/' | sort -rV
 # Supports nightly

From acb8bccefc274f76aa51effdeacf69e2e1aa2dd7 Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Thu, 25 Sep 2025 09:56:21 -0700
Subject: [PATCH 1614/1660] Upgrade base image to colab_20250725-060057_RC00,
 install google-adk (#1498)

A couple of things here:

we upgraded to our base to latest images that is still
- on py3.11
- uses keras 3.8.x and tf 2.18.x

we encounter some issues with upgrading to py3.12, so we'll punt that
for later.

in addition, we will install google-adk and pyngrok
we will add a more involved test in a later PR.

also we diffed new base image and removed packages that is now installed
in their image

@jplotts please lmk if pyngrok is needed for b/443054743 , we can always
remove this at a later point
---
 Dockerfile.tmpl         |  4 ++--
 config.txt              |  2 +-
 kaggle_requirements.txt | 13 ++++---------
 3 files changed, 7 insertions(+), 12 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 1b63837d..7561a700 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -25,8 +25,8 @@ RUN uv pip uninstall --system google-cloud-bigquery-storage
 # b/394382016: sigstore (dependency of kagglehub) requires a prerelease packages, installing separate.
 # b/408284143: google-cloud-automl 2.0.0 introduced incompatible API changes, need to pin to 1.0.1,
 # installed outside of kaggle_requirements.txt due to requiring an incompatibile version of protobuf.
-RUN uv pip install --system --force-reinstall --prerelease=allow kagglehub[pandas-datasets,hf-datasets,signing]>=0.3.12 \
-    google-cloud-automl==1.0.1
+RUN uv pip install --system --force-reinstall --prerelease=allow "kagglehub[pandas-datasets,hf-datasets,signing]>=0.3.12" \
+    "google-cloud-automl==1.0.1"
 
 # uv cannot install this in requirements.txt without --no-build-isolation
 # to avoid affecting the larger build, we'll post-install it.
diff --git a/config.txt b/config.txt
index 61395f5e..af541652 100644
--- a/config.txt
+++ b/config.txt
@@ -1,4 +1,4 @@
 BASE_IMAGE=us-docker.pkg.dev/colab-images/public/runtime
-BASE_IMAGE_TAG=release-colab_20250626-060053_RC00
+BASE_IMAGE_TAG=release-colab_20250725-060057_RC00
 CUDA_MAJOR_VERSION=12
 CUDA_MINOR_VERSION=5
diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index 03c489b4..c711869e 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -1,6 +1,4 @@
 # Please keep this in alphabetical order
-Altair>=5.4.0
-Babel
 Boruta
 Cartopy
 ImageHash
@@ -24,7 +22,6 @@ category-encoders
 cesium
 comm
 cytoolz
-dask-expr
 # Older versions of datasets fail with "Loading a dataset cached in a LocalFileSystem is not supported"
 # https://stackoverflow.com/questions/77433096/notimplementederror-loading-a-dataset-cached-in-a-localfilesystem-is-not-suppor
 datasets>=2.14.6
@@ -48,6 +45,8 @@ geojson
 # geopandas > v0.14.4 breaks learn tools
 geopandas==v0.14.4
 gensim
+# b/443054743
+google-adk
 google-cloud-aiplatform
 # b/315753846: Unpin translate package.
 google-cloud-translate==3.12.1
@@ -111,7 +110,6 @@ pyLDAvis
 pycryptodome
 pydegensac
 pydicom
-pydub
 pyemd
 pyexcel-ods
 pymc3
@@ -144,18 +142,15 @@ tensorflow-cloud
 tensorflow-io
 tensorflow-text
 tensorflow_decision_forests
-timm
-torchao
 torchinfo
 torchmetrics
 torchtune
 transformers>=4.51.0
-triton
-tsfresh
 vtk
-wandb
 wavio
 # b/350573866: xgboost v2.1.0 breaks learntools
 xgboost==2.0.3
 xvfbwrapper
 ydata-profiling
+# b/443054743: pinned as newer versions requires protobuf > 3.20.3
+ydf==0.9.0

From 3e031bac8b3c6d484215bdd6de6e33c0c51cd4fb Mon Sep 17 00:00:00 2001
From: Eric Johnson <65414824+metrizable@users.noreply.github.com>
Date: Fri, 26 Sep 2025 11:18:38 -0700
Subject: [PATCH 1615/1660] Fix libtpu version for torch and do not pre-install
 tensorflow-tpu on TPU.  (#1499)

We install a libtpu version compatible with both jax 0.7.2 and torch
2.8.0. Why? tunix latest -> flax 0.12 -> jax 0.7.2 -> libtpu 0.0.23, and
that libtpu version causes pjrt api errors for torch 2.8.0:

```
pjrt_c_api_helpers.cc:258] Unexpected error status Unexpected PJRT_Plugin_Attributes_Args size: expe
cted 32, got 24. The plugin is likely built with a later version than the framework. This plugin is built with PJRT API version 0.75.
```

*
https://github.com/pytorch/xla/blob/d517649bdef6ab0519c30c704bde8779c8216502/setup.py#L111
*
https://github.com/jax-ml/jax/blob/3489529b38d1f11d1e5caf4540775aadd5f2cdda/setup.py#L26

Of particular note, we no longer pre-install `tensorflow-tpu` as the
newer libtpu causes issues finding the TPUs

```
external/local_xla/xla/stream_executor/tpu/tpu_platform_interface.cc:78] No TPU platform found. Platform manager status: OK
```

We also update how we install Python packages via `uv` for consistency
and reproducibility. From a `requirements.in` file, we first generate a
consistent dependency closure via `uv pip compile`, and then `uv pip
install` the packages from the generated `requirements.txt`.
---
 tpu/Dockerfile                            | 33 ++++++++++++++++++-----
 tpu/{requirements.txt => requirements.in} |  7 +++--
 2 files changed, 29 insertions(+), 11 deletions(-)
 rename tpu/{requirements.txt => requirements.in} (82%)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index fd0c0684..343443ae 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -34,20 +34,39 @@ RUN apt-get update && apt-get install ffmpeg libsm6 libxext6  -y
 # Additional useful packages should be added in the requirements.txt
 # Bring in the requirements.txt and replace variables in it:
 RUN apt-get install -y gettext
-ADD tpu/requirements.txt /kaggle_requirements.txt
-RUN envsubst < /kaggle_requirements.txt > /requirements.txt
+ADD tpu/requirements.in /kaggle_requirements.in
+RUN envsubst < /kaggle_requirements.in > /requirements.in
 
 # Install uv and then install the requirements:
 RUN curl -LsSf https://astral.sh/uv/install.sh | sh
-RUN export PATH="${HOME}/.local/bin:${PATH}" && uv pip install --system -r /requirements.txt --prerelease=allow --force-reinstall && \
+RUN export PATH="${HOME}/.local/bin:${PATH}" && \
+    uv pip compile --system --prerelease=allow \
+        --verbose \
+        --upgrade \
+        --find-links=https://storage.googleapis.com/jax-releases/libtpu_releases.html \
+        --find-links=https://storage.googleapis.com/libtpu-releases/index.html \
+        --find-links=https://storage.googleapis.com/libtpu-wheels/index.html \
+        --find-links=https://download.pytorch.org/whl/torch_stable.html \
+        --emit-find-links \
+        --no-emit-package pip \
+        --no-emit-package setuptools \
+        --output-file /requirements.txt \
+        /requirements.in && \
+    uv pip install --system --prerelease=allow --force-reinstall \
+        -r /requirements.txt && \
+    uv cache clean && \
     /tmp/clean-layer.sh
 ENV PATH="~/.local/bin:${PATH}"
 
-# Try to force tensorflow to reliably install without breaking other installed deps
+# We install a libtpu version compatible with both jax 0.7.2 and torch 2.8.0.
+# Why? tunix latest -> flax 0.12 -> jax 0.7.2 -> libtpu 0.0.23. However, that
+# libtpu causes pjrt api errors for torch 2.8.0. screenshot/5heUtdyaJ4MmR3D
+# https://github.com/pytorch/xla/blob/d517649bdef6ab0519c30c704bde8779c8216502/setup.py#L111
+# https://github.com/jax-ml/jax/blob/3489529b38d1f11d1e5caf4540775aadd5f2cdda/setup.py#L26
 RUN export PATH="${HOME}/.local/bin:${PATH}" && \
-    uv pip freeze --system > /tmp/constraints.txt && \
-    uv pip install --system -c /tmp/constraints.txt tensorflow-tpu -f https://storage.googleapis.com/libtpu-tf-releases/index.html --force-reinstall && \
-    rm /tmp/constraints.txt
+    uv pip install --system --force-reinstall libtpu==0.0.17 && \
+    uv cache clean && \
+    /tmp/clean-layer.sh
 
 # Kaggle Model Hub patches:
 ADD patches/kaggle_module_resolver.py /usr/local/lib/${PYTHON_VERSION_PATH}/site-packages/tensorflow_hub/kaggle_module_resolver.py
diff --git a/tpu/requirements.txt b/tpu/requirements.in
similarity index 82%
rename from tpu/requirements.txt
rename to tpu/requirements.in
index f31a2e51..3991c7d3 100644
--- a/tpu/requirements.txt
+++ b/tpu/requirements.in
@@ -1,8 +1,8 @@
 # TPU Utils
 tpu-info
 # Tensorflow packages
-tensorflow-tpu==${TENSORFLOW_VERSION}
---find-links https://storage.googleapis.com/libtpu-tf-releases/index.html
+# TODO: b/447621961 - re-enable tensorflow-tpu when a compatible libtpu can be found.
+tensorflow-cpu==${TENSORFLOW_VERSION}
 tensorflow_hub
 tensorflow-io
 tensorflow-probability
@@ -13,8 +13,7 @@ https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-${TOR
 torchaudio==${TORCHAUDIO_VERSION}
 torchvision==${TORCHVISION_VERSION}
 # Jax packages
-jax[tpu]>=0.5.2
---find-links https://storage.googleapis.com/jax-releases/libtpu_releases.html
+jax[tpu]
 distrax
 flax
 git+https://github.com/deepmind/dm-haiku

From 0898ca48ac0b34bf2966e77585e6c41ab5d7bb7a Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Wed, 1 Oct 2025 20:51:36 +0000
Subject: [PATCH 1616/1660] Switch to newer libtpu/tunix and cpu-based torch
 for tpu.

http://b/436838265
---
 tpu/Dockerfile      | 10 ----------
 tpu/requirements.in |  6 +++---
 2 files changed, 3 insertions(+), 13 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 343443ae..fe2d065d 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -58,16 +58,6 @@ RUN export PATH="${HOME}/.local/bin:${PATH}" && \
     /tmp/clean-layer.sh
 ENV PATH="~/.local/bin:${PATH}"
 
-# We install a libtpu version compatible with both jax 0.7.2 and torch 2.8.0.
-# Why? tunix latest -> flax 0.12 -> jax 0.7.2 -> libtpu 0.0.23. However, that
-# libtpu causes pjrt api errors for torch 2.8.0. screenshot/5heUtdyaJ4MmR3D
-# https://github.com/pytorch/xla/blob/d517649bdef6ab0519c30c704bde8779c8216502/setup.py#L111
-# https://github.com/jax-ml/jax/blob/3489529b38d1f11d1e5caf4540775aadd5f2cdda/setup.py#L26
-RUN export PATH="${HOME}/.local/bin:${PATH}" && \
-    uv pip install --system --force-reinstall libtpu==0.0.17 && \
-    uv cache clean && \
-    /tmp/clean-layer.sh
-
 # Kaggle Model Hub patches:
 ADD patches/kaggle_module_resolver.py /usr/local/lib/${PYTHON_VERSION_PATH}/site-packages/tensorflow_hub/kaggle_module_resolver.py
 RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /usr/local/lib/${PYTHON_VERSION_PATH}/site-packages/tensorflow_hub/config.py
diff --git a/tpu/requirements.in b/tpu/requirements.in
index 3991c7d3..1fceeebb 100644
--- a/tpu/requirements.in
+++ b/tpu/requirements.in
@@ -8,10 +8,10 @@ tensorflow-io
 tensorflow-probability
 tensorflow_datasets
 # Torch packages
-torch==${TORCH_VERSION}
+https://download.pytorch.org/whl/cpu/torch-${TORCH_VERSION}%2Bcpu-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TORCH_LINUX_WHEEL_VERSION}.whl
+https://download.pytorch.org/whl/cpu/torchaudio-${TORCHAUDIO_VERSION}%2Bcpu-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TORCH_LINUX_WHEEL_VERSION}.whl
+https://download.pytorch.org/whl/cpu/torchvision-${TORCHVISION_VERSION}%2Bcpu-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TORCH_LINUX_WHEEL_VERSION}.whl
 https://storage.googleapis.com/pytorch-xla-releases/wheels/tpuvm/torch_xla-${TORCH_VERSION}-${PYTHON_WHEEL_VERSION}-${PYTHON_WHEEL_VERSION}-${TORCH_LINUX_WHEEL_VERSION}.whl
-torchaudio==${TORCHAUDIO_VERSION}
-torchvision==${TORCHVISION_VERSION}
 # Jax packages
 jax[tpu]
 distrax

From 221ec49fe771668afc2026f4e0ae9a85b817a777 Mon Sep 17 00:00:00 2001
From: Dustin Herbison <herbison@google.com>
Date: Wed, 1 Oct 2025 21:54:01 +0000
Subject: [PATCH 1617/1660] Re-add the libtpu pin to make torch and jax work
 together again...

http://b/436838265
---
 tpu/Dockerfile | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index fe2d065d..343443ae 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -58,6 +58,16 @@ RUN export PATH="${HOME}/.local/bin:${PATH}" && \
     /tmp/clean-layer.sh
 ENV PATH="~/.local/bin:${PATH}"
 
+# We install a libtpu version compatible with both jax 0.7.2 and torch 2.8.0.
+# Why? tunix latest -> flax 0.12 -> jax 0.7.2 -> libtpu 0.0.23. However, that
+# libtpu causes pjrt api errors for torch 2.8.0. screenshot/5heUtdyaJ4MmR3D
+# https://github.com/pytorch/xla/blob/d517649bdef6ab0519c30c704bde8779c8216502/setup.py#L111
+# https://github.com/jax-ml/jax/blob/3489529b38d1f11d1e5caf4540775aadd5f2cdda/setup.py#L26
+RUN export PATH="${HOME}/.local/bin:${PATH}" && \
+    uv pip install --system --force-reinstall libtpu==0.0.17 && \
+    uv cache clean && \
+    /tmp/clean-layer.sh
+
 # Kaggle Model Hub patches:
 ADD patches/kaggle_module_resolver.py /usr/local/lib/${PYTHON_VERSION_PATH}/site-packages/tensorflow_hub/kaggle_module_resolver.py
 RUN sed -i '/from tensorflow_hub import uncompressed_module_resolver/a from tensorflow_hub import kaggle_module_resolver' /usr/local/lib/${PYTHON_VERSION_PATH}/site-packages/tensorflow_hub/config.py

From f972e95de3e7eeec59f77b5be435bbed8ebab3a7 Mon Sep 17 00:00:00 2001
From: Sohier Dane <sohier@google.com>
Date: Wed, 29 Oct 2025 11:19:33 -0700
Subject: [PATCH 1618/1660] Update Dockerfile.tmpl (#1508)

Drop support for BQ Helper, which is obsolete now that the official
BigQuery library is more feature complete.
[Context](https://chat.kaggle.net/kaggle/pl/egqzrknaz7dcfydjfrn1xiwame).
---
 Dockerfile.tmpl | 10 ----------
 1 file changed, 10 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 7561a700..b0d0d111 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -146,16 +146,6 @@ RUN mkdir -p /root/.jupyter && touch /root/.jupyter/jupyter_nbconvert_config.py
     mkdir -p /etc/ipython/ && echo "c = get_config(); c.IPKernelApp.matplotlib = 'inline'" > /etc/ipython/ipython_config.py && \
     /tmp/clean-layer.sh
 
-# Fix to import bq_helper library without downgrading setuptools and upgrading protobuf
-RUN mkdir -p ~/src && git clone https://github.com/SohierDane/BigQuery_Helper ~/src/BigQuery_Helper && \
-    mkdir -p ~/src/BigQuery_Helper/bq_helper && \
-    mv ~/src/BigQuery_Helper/bq_helper.py ~/src/BigQuery_Helper/bq_helper/__init__.py && \
-    mv ~/src/BigQuery_Helper/test_helper.py ~/src/BigQuery_Helper/bq_helper/ && \
-    sed -i 's/)/packages=["bq_helper"])/g' ~/src/BigQuery_Helper/setup.py && \
-    uv pip install --system -e ~/src/BigQuery_Helper "protobuf<3.21"&& \
-    /tmp/clean-layer.sh
-
-
 # install imagemagick for wand
 # https://docs.wand-py.org/en/latest/guide/install.html#install-imagemagick-on-debian-ubuntu
 RUN apt-get install libmagickwand-dev

From dd0d0b39f079eca46f304fa480dc0c307f2a13e1 Mon Sep 17 00:00:00 2001
From: Jim Plotts <jplotts@google.com>
Date: Wed, 29 Oct 2025 14:30:09 -0400
Subject: [PATCH 1619/1660] Changes to support agents (#1507)

Removes automl implementation, which requires old protobuf (3.20.3).
This enables it to be upgraded to a modern version, which is required by
`google-adk[a2a]`.

Also removes old unused `BigQuery_Helper`.

Adds ADK `eval` and `a2a` as dependencies.

http://b/455550872
---
 Dockerfile.tmpl         |  5 +----
 kaggle_requirements.txt |  7 +++----
 patches/kaggle_gcp.py   | 32 --------------------------------
 3 files changed, 4 insertions(+), 40 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index b0d0d111..320d1dea 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -23,10 +23,7 @@ RUN uv pip install --system -r /requirements.txt
 RUN uv pip uninstall --system google-cloud-bigquery-storage
 
 # b/394382016: sigstore (dependency of kagglehub) requires a prerelease packages, installing separate.
-# b/408284143: google-cloud-automl 2.0.0 introduced incompatible API changes, need to pin to 1.0.1,
-# installed outside of kaggle_requirements.txt due to requiring an incompatibile version of protobuf.
-RUN uv pip install --system --force-reinstall --prerelease=allow "kagglehub[pandas-datasets,hf-datasets,signing]>=0.3.12" \
-    "google-cloud-automl==1.0.1"
+RUN uv pip install --system --force-reinstall --prerelease=allow "kagglehub[pandas-datasets,hf-datasets,signing]>=0.3.12"
 
 # uv cannot install this in requirements.txt without --no-build-isolation
 # to avoid affecting the larger build, we'll post-install it.
diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index c711869e..9bb07412 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -45,8 +45,8 @@ geojson
 # geopandas > v0.14.4 breaks learn tools
 geopandas==v0.14.4
 gensim
-# b/443054743
-google-adk
+# b/443054743,b/455550872
+google-adk[a2a,eval]
 google-cloud-aiplatform
 # b/315753846: Unpin translate package.
 google-cloud-translate==3.12.1
@@ -152,5 +152,4 @@ wavio
 xgboost==2.0.3
 xvfbwrapper
 ydata-profiling
-# b/443054743: pinned as newer versions requires protobuf > 3.20.3
-ydf==0.9.0
+ydf
diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index 2c8b64cc..64a4611f 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -253,37 +253,6 @@ def init_gcs():
         KaggleKernelCredentials(target=GcpTarget.GCS))
     return storage
 
-def init_automl():
-    from google.cloud import automl, automl_v1beta1
-    if not is_user_secrets_token_set():
-        return
-
-    from kaggle_gcp import get_integrations
-    if not get_integrations().has_cloudai():
-        return
-
-    from kaggle_secrets import GcpTarget
-    from kaggle_gcp import KaggleKernelCredentials
-    kaggle_kernel_credentials = KaggleKernelCredentials(target=GcpTarget.CLOUDAI)
-
-    # Patch the 2 GA clients: AutoMlClient and PreditionServiceClient
-    monkeypatch_client(automl.AutoMlClient, kaggle_kernel_credentials)
-    monkeypatch_client(automl.PredictionServiceClient, kaggle_kernel_credentials)
-
-    # The AutoML client library exposes 3 different client classes (AutoMlClient,
-    # TablesClient, PredictionServiceClient), so patch each of them.
-    # The same KaggleKernelCredentials are passed to all of them.
-    # The GcsClient class is only used internally by TablesClient.
-
-    # The beta version of the clients that are now GA are included here for now.
-    # They are deprecated and will be removed by 1 May 2020.
-    monkeypatch_client(automl_v1beta1.AutoMlClient, kaggle_kernel_credentials)
-    monkeypatch_client(automl_v1beta1.PredictionServiceClient, kaggle_kernel_credentials)
-
-    # The TablesClient is still in beta, so this will not be deprecated until
-    # the TablesClient is GA.
-    monkeypatch_client(automl_v1beta1.TablesClient, kaggle_kernel_credentials)
-
 def init_translation_v2():
     from google.cloud import translate_v2
     if not is_user_secrets_token_set():
@@ -379,7 +348,6 @@ def init_vision():
 def init():
     init_bigquery()
     init_gcs()
-    init_automl()
     init_translation_v2()
     init_translation_v3()
     init_natural_language()

From 0d57d8ddae4d4a695d4866d4cade6d9d2078bd52 Mon Sep 17 00:00:00 2001
From: Dustin H <herbison@google.com>
Date: Wed, 29 Oct 2025 16:14:21 -0400
Subject: [PATCH 1620/1660] Add jupyter_server_proxy to requirements

---
 kaggle_requirements.txt | 1 +
 1 file changed, 1 insertion(+)

diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index 9bb07412..c91dc073 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -66,6 +66,7 @@ jedi
 jupyter-lsp==1.5.1
 # b/333854354: pin jupyter-server to version 2.12.5; later versions break LSP (b/333854354)
 jupyter_server==2.12.5
+jupyter_server_proxy
 jupyterlab
 jupyterlab-lsp
 # b/409363708: Ensure we have the update version, we can consider removing it once

From 523ec52937102fd6375273179f0d87f25a83760f Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Wed, 29 Oct 2025 14:35:45 -0700
Subject: [PATCH 1621/1660] Pin huggingface-hub (#1510)

pytorch-lighting and transformer are throwing errors due to
huggingface-hub requirements.
let's pin huggingface-hub for now
---
 Dockerfile.tmpl | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 320d1dea..ba164474 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -48,7 +48,8 @@ RUN uv pip install --system "tbb>=2022" "libpysal==4.9.2"
 
 # b/404590350: Ray and torchtune have conflicting tune cli, we will prioritize torchtune.
 # b/415358158: Gensim removed from Colab image to upgrade scipy
-RUN uv pip install --system --force-reinstall --no-deps torchtune gensim "scipy<=1.15.3"
+# b/456239669: remove huggingface-hub pin when pytorch-lighting and transformer are compatible
+RUN uv pip install --system --force-reinstall --no-deps torchtune gensim "scipy<=1.15.3" "huggingface-hub==0.36.0"
 
 # Adding non-package dependencies:
 ADD clean-layer.sh  /tmp/clean-layer.sh

From 20bbb5c1e080dcc5c4790d55d348e1f2474ff077 Mon Sep 17 00:00:00 2001
From: Jim Plotts <jplotts@google.com>
Date: Wed, 29 Oct 2025 18:56:47 -0400
Subject: [PATCH 1622/1660] Clean up missed references to AutoML (#1509)

---
 patches/sitecustomize.py |   1 -
 tests/test_automl.py     | 139 ---------------------------------------
 2 files changed, 140 deletions(-)
 delete mode 100644 tests/test_automl.py

diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index e8afb361..4caa5d28 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -56,7 +56,6 @@ def create_module(self, spec):
         _LOADERS = {
             'google.cloud.bigquery': kaggle_gcp.init_bigquery,
             'google.cloud.storage': kaggle_gcp.init_gcs,
-            'google.cloud.automl_v1beta1': kaggle_gcp.init_automl,
             'google.cloud.translate': kaggle_gcp.init_translation_v3,
             'google.cloud.translate_v2': kaggle_gcp.init_translation_v2,
             'google.cloud.translate_v3': kaggle_gcp.init_translation_v3,
diff --git a/tests/test_automl.py b/tests/test_automl.py
deleted file mode 100644
index 9a048b14..00000000
--- a/tests/test_automl.py
+++ /dev/null
@@ -1,139 +0,0 @@
-import unittest
-
-from unittest.mock import Mock, patch
-
-from kaggle_gcp import KaggleKernelCredentials, init_automl
-from test.support.os_helper import EnvironmentVarGuard
-from google.cloud import storage, automl_v1beta1, automl
-
-def _make_credentials():
-    import google.auth.credentials
-    credentials = Mock(spec=google.auth.credentials.Credentials)
-    credentials.universe_domain = 'googleapis.com'
-    return credentials
-
-class TestAutoMl(unittest.TestCase):
-
-    class FakeClient:
-        def __init__(self, credentials=None, client_info=None, **kwargs):
-            self.credentials = credentials
-
-            class FakeConnection():
-                def __init__(self, user_agent):
-                    self.user_agent = user_agent
-            if (client_info is not None):
-                self._connection = FakeConnection(client_info.user_agent)
-
-    @patch("google.cloud.automl.AutoMlClient", new=FakeClient)
-    def test_user_provided_credentials(self):
-        credentials = _make_credentials()
-        env = EnvironmentVarGuard()
-        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
-        with env:
-            init_automl()
-            client = automl.AutoMlClient(credentials=credentials)
-            self.assertNotIsInstance(client.credentials, KaggleKernelCredentials)
-            self.assertIsNotNone(client.credentials)
-
-    def test_tables_gcs_client(self):
-        # The GcsClient can't currently be monkeypatched for default
-        # credentials because it requires a project which can't be set.
-        # Verify that creating an automl_v1beta1.GcsClient given an actual
-        # storage.Client sets the client properly.
-        gcs_client = storage.Client(project="xyz", credentials=_make_credentials())
-        tables_gcs_client = automl_v1beta1.GcsClient(client=gcs_client)
-        self.assertIs(tables_gcs_client.client, gcs_client)
-
-    @patch("google.cloud.automl_v1beta1.gapic.auto_ml_client.AutoMlClient", new=FakeClient)
-    def test_tables_client_credentials(self):
-        credentials = _make_credentials()
-        env = EnvironmentVarGuard()
-        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
-        with env:
-            init_automl()
-            tables_client = automl_v1beta1.TablesClient(credentials=credentials)
-            self.assertEqual(tables_client.auto_ml_client.credentials, credentials)
-
-    @patch("google.cloud.automl.AutoMlClient", new=FakeClient)
-    def test_default_credentials_automl_client(self):
-        env = EnvironmentVarGuard()
-        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
-        with env:
-            init_automl()
-            automl_client = automl.AutoMlClient()
-            self.assertIsNotNone(automl_client.credentials)
-            self.assertIsInstance(automl_client.credentials, KaggleKernelCredentials)
-            self.assertTrue(automl_client._connection.user_agent.startswith("kaggle-gcp-client/1.0"))
-
-    @patch("google.cloud.automl_v1beta1.AutoMlClient", new=FakeClient)
-    def test_default_credentials_automl_v1beta1_client(self):
-        env = EnvironmentVarGuard()
-        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
-        with env:
-            init_automl()
-            automl_client = automl_v1beta1.AutoMlClient()
-            self.assertIsNotNone(automl_client.credentials)
-            self.assertIsInstance(automl_client.credentials, KaggleKernelCredentials)
-            self.assertTrue(automl_client._connection.user_agent.startswith("kaggle-gcp-client/1.0"))
-
-    @patch("google.cloud.automl_v1beta1.TablesClient", new=FakeClient)
-    def test_default_credentials_tables_client(self):
-        env = EnvironmentVarGuard()
-        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
-        with env:
-            init_automl()
-            tables_client = automl_v1beta1.TablesClient()
-            self.assertIsNotNone(tables_client.credentials)
-            self.assertIsInstance(tables_client.credentials, KaggleKernelCredentials)
-            self.assertTrue(tables_client._connection.user_agent.startswith("kaggle-gcp-client/1.0"))
-
-    @patch("google.cloud.automl.PredictionServiceClient", new=FakeClient)
-    def test_default_credentials_prediction_client(self):
-        env = EnvironmentVarGuard()
-        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
-        with env:
-            prediction_client = automl.PredictionServiceClient()
-            self.assertIsNotNone(prediction_client.credentials)
-            self.assertIsInstance(prediction_client.credentials, KaggleKernelCredentials)
-            self.assertTrue(prediction_client._connection.user_agent.startswith("kaggle-gcp-client/1.0"))
-
-    @patch("google.cloud.automl_v1beta1.PredictionServiceClient", new=FakeClient)
-    def test_default_credentials_prediction_v1beta1_client(self):
-        env = EnvironmentVarGuard()
-        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
-        with env:
-            prediction_client = automl_v1beta1.PredictionServiceClient()
-            self.assertIsNotNone(prediction_client.credentials)
-            self.assertIsInstance(prediction_client.credentials, KaggleKernelCredentials)
-            self.assertTrue(prediction_client._connection.user_agent.startswith("kaggle-gcp-client/1.0"))
-
-    def test_monkeypatching_idempotent(self):
-        env = EnvironmentVarGuard()
-        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
-        with env:
-            client1 = automl.AutoMlClient.__init__
-            init_automl()
-            client2 = automl.AutoMlClient.__init__
-            self.assertEqual(client1, client2)
-
-    @patch("google.cloud.automl_v1beta1.PredictionServiceClient", new=FakeClient)
-    def test_legacy_AUTOML_variable_v1beta1_client(self):
-        """
-        Tests previous KAGGLE_KERNEL_INTEGRATIONS="AUTOML" environment setting
-        """
-        env = EnvironmentVarGuard()
-        env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
-        env.set('KAGGLE_KERNEL_INTEGRATIONS', 'AUTOML')
-        with env:
-            prediction_client = automl_v1beta1.PredictionServiceClient()
-            self.assertIsNotNone(prediction_client.credentials)
-            self.assertIsInstance(prediction_client.credentials, KaggleKernelCredentials)
-            self.assertTrue(prediction_client._connection.user_agent.startswith("kaggle-gcp-client/1.0"))
\ No newline at end of file

From 0cb222723ba71fa79c9cf0694297586f53840f49 Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Wed, 29 Oct 2025 16:14:48 -0700
Subject: [PATCH 1623/1660] Remove even more references to AutoMl and Bq
 (#1511)

---
 patches/sitecustomize.py | 1 -
 tests/test_imports.py    | 1 -
 2 files changed, 2 deletions(-)

diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index 4caa5d28..b8ae0692 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -13,7 +13,6 @@ class GcpModuleFinder(importlib.abc.MetaPathFinder):
     _MODULES = [
         'google.cloud.bigquery',
         'google.cloud.storage',
-        'google.cloud.automl_v1beta1',
         'google.cloud.translate',
         'google.cloud.translate_v2',
         'google.cloud.translate_v3',
diff --git a/tests/test_imports.py b/tests/test_imports.py
index b22ebe7a..6c429516 100644
--- a/tests/test_imports.py
+++ b/tests/test_imports.py
@@ -3,6 +3,5 @@
 class TestImport(unittest.TestCase):
     # Basic import tests for packages without any.
     def test_basic(self):
-        import bq_helper
         import tensorflow_datasets
         import segment_anything

From 708186076f37107ff322fa2b31ca8e34e6bdacea Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Fri, 31 Oct 2025 02:35:32 -0700
Subject: [PATCH 1624/1660] move cloud-translate (#1512)

---
 Dockerfile.tmpl         | 3 ++-
 kaggle_requirements.txt | 2 --
 2 files changed, 2 insertions(+), 3 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index ba164474..20acac5c 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -49,7 +49,8 @@ RUN uv pip install --system "tbb>=2022" "libpysal==4.9.2"
 # b/404590350: Ray and torchtune have conflicting tune cli, we will prioritize torchtune.
 # b/415358158: Gensim removed from Colab image to upgrade scipy
 # b/456239669: remove huggingface-hub pin when pytorch-lighting and transformer are compatible
-RUN uv pip install --system --force-reinstall --no-deps torchtune gensim "scipy<=1.15.3" "huggingface-hub==0.36.0"
+# b/315753846: Unpin translate package, currently conflicts with adk 1.17.0
+RUN uv pip install --system --force-reinstall --no-deps torchtune gensim "scipy<=1.15.3" "huggingface-hub==0.36.0" "google-cloud-translate==3.12.1"
 
 # Adding non-package dependencies:
 ADD clean-layer.sh  /tmp/clean-layer.sh
diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index c91dc073..503d37f9 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -48,8 +48,6 @@ gensim
 # b/443054743,b/455550872
 google-adk[a2a,eval]
 google-cloud-aiplatform
-# b/315753846: Unpin translate package.
-google-cloud-translate==3.12.1
 google-cloud-videointelligence
 google-cloud-vision
 google-genai

From e756e929cb98b6c8ef6e016c0c0f917536c4c871 Mon Sep 17 00:00:00 2001
From: Jim Plotts <jplotts@google.com>
Date: Mon, 3 Nov 2025 12:12:52 -0500
Subject: [PATCH 1625/1660] Remove custom logging. (#1514)

This is very old and was probably mostly useful while the GCP
integrations were in development. However, it interferes with the user's
logging in a way that's peculiar to Kaggle, so let's remove it to make
Kaggle more similar to other platforms.

http://b/455836683
---
 Dockerfile.tmpl          |   1 -
 patches/kaggle_gcp.py    |  33 +++++-----
 patches/log.py           | 133 ---------------------------------------
 patches/sitecustomize.py |   3 +-
 4 files changed, 17 insertions(+), 153 deletions(-)
 delete mode 100644 patches/log.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 20acac5c..ba382531 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -164,7 +164,6 @@ ADD patches/kaggle_gcp.py \
     patches/kaggle_session.py \
     patches/kaggle_web_client.py \
     patches/kaggle_datasets.py \
-    patches/log.py \
     $PACKAGE_PATH/
 
 # Figure out why this is in a different place?
diff --git a/patches/kaggle_gcp.py b/patches/kaggle_gcp.py
index 64a4611f..4cb98858 100644
--- a/patches/kaggle_gcp.py
+++ b/patches/kaggle_gcp.py
@@ -1,5 +1,6 @@
 import os
 import inspect
+import logging
 from google.auth import credentials, environment_vars
 from google.auth.exceptions import RefreshError
 from google.api_core.gapic_v1.client_info import ClientInfo
@@ -8,8 +9,6 @@
 from google.cloud.bigquery._http import Connection
 from kaggle_secrets import GcpTarget, UserSecretsClient
 
-from log import Log
-
 KAGGLE_GCP_CLIENT_USER_AGENT="kaggle-gcp-client/1.0"
 
 def get_integrations():
@@ -22,7 +21,7 @@ def get_integrations():
             target = GcpTarget[integration.upper()]
             kernel_integrations.add_integration(target)
         except KeyError as e:
-            Log.error(f"Unknown integration target: {integration.upper()}")
+            logging.debug(f"Unknown integration target: {integration.upper()}")
     return kernel_integrations
 
 
@@ -66,14 +65,14 @@ def refresh(self, request):
             elif self.target == GcpTarget.CLOUDAI:
                 self.token, self.expiry = client._get_cloudai_access_token()
         except ConnectionError as e:
-            Log.error(f"Connection error trying to refresh access token: {e}")
+            logging.error(f"Connection error trying to refresh access token: {e}")
             print("There was a connection error trying to fetch the access token. "
                   f"Please ensure internet is on in order to use the {self.target.service} Integration.")
             raise RefreshError('Unable to refresh access token due to connection error.') from e
         except Exception as e:
-            Log.error(f"Error trying to refresh access token: {e}")
+            logging.error(f"Error trying to refresh access token: {e}")
             if (not get_integrations().has_integration(self.target)):
-                Log.error(f"No {self.target.service} integration found.")
+                logging.error(f"No {self.target.service} integration found.")
                 print(
                    f"Please ensure you have selected a {self.target.service} account in the Notebook Add-ons menu.")
             raise RefreshError('Unable to refresh access token.') from e
@@ -102,7 +101,7 @@ def api_request(self, *args, **kwargs):
             msg = ("Permission denied using Kaggle's public BigQuery integration. "
                    "Did you mean to select a BigQuery account in the Notebook Add-ons menu?")
             print(msg)
-            Log.info(msg)
+            logging.info(msg)
             raise e
 
 
@@ -156,23 +155,23 @@ def monkeypatch_bq(bq_client, *args, **kwargs):
         # Remove these two lines once this is resolved:
         # https://github.com/googleapis/google-cloud-python/issues/8108
         if explicit_project_id:
-            Log.info(f"Explicit project set to {explicit_project_id}")
+            logging.info(f"Explicit project set to {explicit_project_id}")
             kwargs['project'] = explicit_project_id
         if explicit_project_id is None and specified_credentials is None and not has_bigquery:
             msg = "Using Kaggle's public dataset BigQuery integration."
-            Log.info(msg)
+            logging.info(msg)
             print(msg)
             return PublicBigqueryClient(*args, **kwargs)
         else:
             if specified_credentials is None:
-                Log.info("No credentials specified, using KaggleKernelCredentials.")
+                logging.info("No credentials specified, using KaggleKernelCredentials.")
                 kwargs['credentials'] = KaggleKernelCredentials()
                 if (not has_bigquery):
-                    Log.info("No bigquery integration found, creating client anyways.")
+                    logging.info("No bigquery integration found, creating client anyways.")
                     print('Please ensure you have selected a BigQuery '
                         'account in the Notebook Add-ons menu.')
             if explicit_project_id is None:
-                Log.info("No project specified while using the unmodified client.")
+                logging.info("No project specified while using the unmodified client.")
                 print('Please ensure you specify a project id when creating the client'
                     ' in order to use your BigQuery account.')
             kwargs['client_info'] = set_kaggle_user_agent(kwargs.get('client_info'))
@@ -196,20 +195,20 @@ def monkeypatch_aiplatform_init(aiplatform_klass, kaggle_kernel_credentials):
     def patched_init(*args, **kwargs):
         specified_credentials = kwargs.get('credentials')
         if specified_credentials is None:
-            Log.info("No credentials specified, using KaggleKernelCredentials.")
+            logging.info("No credentials specified, using KaggleKernelCredentials.")
             kwargs['credentials'] = kaggle_kernel_credentials
         return aiplatform_init(*args, **kwargs)
 
     if (not has_been_monkeypatched(aiplatform_klass.init)):
         aiplatform_klass.init = patched_init
-        Log.info("aiplatform.init patched")
+        logging.info("aiplatform.init patched")
 
 def monkeypatch_client(client_klass, kaggle_kernel_credentials):
     client_init = client_klass.__init__
     def patched_init(self, *args, **kwargs):
         specified_credentials = kwargs.get('credentials')
         if specified_credentials is None:
-            Log.info("No credentials specified, using KaggleKernelCredentials.")
+            logging.info("No credentials specified, using KaggleKernelCredentials.")
             # Some GCP services demand the billing and target project must be the same.
             # To avoid using default service account based credential as caller credential
             # user need to provide ClientOptions with quota_project_id:
@@ -227,7 +226,7 @@ def patched_init(self, *args, **kwargs):
 
     if (not has_been_monkeypatched(client_klass.__init__)):
         client_klass.__init__ = patched_init
-        Log.info(f"Client patched: {client_klass}")
+        logging.info(f"Client patched: {client_klass}")
 
 def set_kaggle_user_agent(client_info: ClientInfo):
     # Add kaggle client user agent in order to attribute usage.
@@ -360,4 +359,4 @@ def init():
 # google.cloud.* and kaggle_gcp. By calling init here, we guarantee
 # that regardless of the original import that caused google.cloud.* to be
 # loaded, the monkeypatching will be done.
-init()
+init()
\ No newline at end of file
diff --git a/patches/log.py b/patches/log.py
deleted file mode 100644
index 59a07c8c..00000000
--- a/patches/log.py
+++ /dev/null
@@ -1,133 +0,0 @@
-import io
-import logging
-import os
-
-import google.auth
-
-
-_LOG_TO_FILE_ENV = os.getenv("KAGGLE_LOG_TO_FILE")
-
-
-class _LogFormatter(logging.Formatter):
-    """A logging formatter which truncates long messages."""
-
-    _MAX_LOG_LENGTH = 10000  # Be generous, not to truncate long backtraces.
-
-    def format(self, record):
-        msg = super(_LogFormatter, self).format(record)
-        return msg[:_LogFormatter._MAX_LOG_LENGTH] if msg else msg
-
-# TODO(vimota): Clean this up once we're using python 3.8 and can use
-# (https://github.com/python/cpython/commit/dde9fdbe453925279ac3d2a6a72102f6f9ef247c)
-# Right now, making the logging module display the intended frame's information
-# when the logging calls (info, warn, ...) are wrapped (as is the case in our
-# Log class) involves fragile logic.
-class _Logger(logging.Logger):
-
-    # This is a copy of logging.Logger.findCaller with the filename ignore
-    # set expanded to include the current filename (".../log.py").
-    # Copyright 2001-2015 by Vinay Sajip. All Rights Reserved.
-    # License: https://github.com/python/cpython/blob/ce9e62544571e7ade7186697d5dd065fb4c5243f/LICENSE
-    def findCaller(self, stack_info=False, stacklevel=1):
-        f = logging.currentframe()
-        f = f.f_back
-        rv = "(unknown file)", 0, "(unknown function)", None
-        while hasattr(f, "f_code"):
-            co = f.f_code
-            filename = os.path.normcase(co.co_filename)
-            if filename in _ignore_srcfiles:
-                f = f.f_back
-                continue
-            sinfo = None
-            if stack_info:
-                sio = io.StringIO()
-                sio.write('Stack (most recent call last):\n')
-                traceback.print_stack(f, file=sio)
-                sinfo = sio.getvalue()
-                if sinfo[-1] == '\n':
-                    sinfo = sinfo[:-1]
-                sio.close()
-            rv = (co.co_filename, f.f_lineno, co.co_name, sinfo)
-            break
-        return rv
-
-
-_srcfile = os.path.normcase(_Logger.findCaller.__code__.co_filename)
-_ignore_srcfiles = (_srcfile, logging._srcfile)
-
-class Log:
-    """ Helper aggregate for all things related to logging activity. """
-
-    _GLOBAL_LOG = logging.getLogger("")
-    _initialized = False
-
-    # These are convenience helpers. For performance, consider saving Log.get_logger() and using that
-    @staticmethod
-    def critical(msg, *args, **kwargs):
-        Log._GLOBAL_LOG.critical(msg, *args, **kwargs)
-
-    @staticmethod
-    def fatal(msg, *args, **kwargs):
-        Log._GLOBAL_LOG.fatal(msg, *args, **kwargs)
-
-    @staticmethod
-    def exception(msg, *args, **kwargs):
-        Log._GLOBAL_LOG.exception(msg, *args, **kwargs)
-
-    @staticmethod
-    def error(msg, *args, **kwargs):
-        Log._GLOBAL_LOG.error(msg, *args, **kwargs)
-
-    @staticmethod
-    def warn(msg, *args, **kwargs):
-        Log._GLOBAL_LOG.warn(msg, *args, **kwargs)
-
-    @staticmethod
-    def warning(msg, *args, **kwargs):
-        Log._GLOBAL_LOG.warning(msg, *args, **kwargs)
-
-    @staticmethod
-    def debug(msg, *args, **kwargs):
-        Log._GLOBAL_LOG.debug(msg, *args, **kwargs)
-
-    @staticmethod
-    def info(msg, *args, **kwargs):
-        Log._GLOBAL_LOG.info(msg, *args, **kwargs)
-
-    @staticmethod
-    def set_level(loglevel):
-        if isinstance(loglevel, int):
-            Log._GLOBAL_LOG.setLevel(loglevel)
-            return
-        elif isinstance(loglevel, str):
-            # idea from https://docs.python.org/3.5/howto/logging.html#logging-to-a-file
-            numeric_level = getattr(logging, loglevel.upper(), None)
-            if isinstance(numeric_level, int):
-                Log._GLOBAL_LOG.setLevel(numeric_level)
-                return
-
-        raise ValueError('Invalid log level: %s' % loglevel)
-
-    @staticmethod
-    def _static_init():
-        if Log._initialized:
-            return
-
-        logging.setLoggerClass(_Logger)
-        # The root logger's type is unfortunately (and surprisingly) not affected by
-        # `setLoggerClass`. Monkey patch it instead. TODO(vimota): Remove this, see the TODO
-        # associated with _Logger.
-        logging.RootLogger.findCaller = _Logger.findCaller
-        log_to_file = _LOG_TO_FILE_ENV.lower() in ("yes", "true", "t", "1") if _LOG_TO_FILE_ENV is not None else True
-        if log_to_file:
-            handler = logging.FileHandler(filename='/tmp/kaggle.log', mode='w')
-        else:
-            handler = logging.StreamHandler()
-        
-        # ".1s" is for the first letter: http://stackoverflow.com/a/27453084/1869.
-        format_string = "%(asctime)s %(levelname).1s %(process)d %(filename)s:%(lineno)d] %(message)s"
-        handler.setFormatter(_LogFormatter(format_string))
-        logging.basicConfig(level=logging.INFO, handlers=[handler])
-        Log._initialized = True
-
-Log._static_init()
diff --git a/patches/sitecustomize.py b/patches/sitecustomize.py
index b8ae0692..1bb8a1b6 100644
--- a/patches/sitecustomize.py
+++ b/patches/sitecustomize.py
@@ -1,7 +1,6 @@
+import logging
 import os
 
-from log import Log
-
 import sys
 import importlib.abc
 import importlib

From 4ae73d1e828496efae0eb930b968627399b8c995 Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Fri, 12 Dec 2025 12:27:14 -0800
Subject: [PATCH 1626/1660] Upgrade to Python 3.12 (#1516)

we're bumping our image to Python 3.12

which required the following:
remove numpy-mkl: unfortunately we were not able to find/install a
compatible version, we opted to remove it based on previous conv we had
on this topic. we will instead use the default installed in colab.

remove cuml installation hack:
thankfully are able to use the pre-installed base image version without
build errors.

unpinned package due to learn:
Learn is no longer dependent on this build, we can freely unpinned many
packages
-seaborn, scikit-learn, matplotlib, geopandas, TPOT, shapely, tfdf, ydf,
etc

remove incompatible packages:
Some of these are no longer support and cause build issues
-pydegensac, pymc3, eli5, etc

remove preinstalled package:
where applicable we removed packages that are already installed in colab
base image


https://b.corp.google.com/issues/468103319
---
 Dockerfile.tmpl                               |  28 ++++-----------
 config.txt                                    |   2 +-
 kaggle_requirements.txt                       |  34 ++++--------------
 .../bert_tiny_en_uncased/2/metadata.json      |   6 ----
 .../bert_tiny_en_uncased/2/tokenizer.json     |  21 -----------
 .../{2 => 3}/assets/tokenizer/vocabulary.txt  |   0
 .../bert_tiny_en_uncased/{2 => 3}/config.json |   6 ++--
 .../bert_tiny_en_uncased/3/metadata.json      |  10 ++++++
 .../bert_tiny_en_uncased/3/model.weights.h5   | Bin 0 -> 17632080 bytes
 .../bert_tiny_en_uncased/3/tokenizer.json     |  27 ++++++++++++++
 tests/test_geopandas.py                       |  16 ---------
 tests/test_matplotlib.py                      |   4 ---
 tests/test_numpy.py                           |  18 ----------
 tests/test_pydegensac.py                      |  18 ----------
 tests/test_xgboost.py                         |   3 +-
 15 files changed, 55 insertions(+), 138 deletions(-)
 delete mode 100755 tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/2/metadata.json
 delete mode 100755 tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/2/tokenizer.json
 rename tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/{2 => 3}/assets/tokenizer/vocabulary.txt (100%)
 mode change 100755 => 100644
 rename tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/{2 => 3}/config.json (68%)
 create mode 100755 tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/3/metadata.json
 create mode 100755 tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/3/model.weights.h5
 create mode 100755 tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/3/tokenizer.json
 delete mode 100644 tests/test_geopandas.py
 delete mode 100644 tests/test_pydegensac.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index ba382531..4f7f05b1 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -12,9 +12,6 @@ RUN pip freeze | grep -E 'tensorflow|keras|torch|jax' > /colab_requirements.txt
 RUN cat /colab_requirements.txt >> /requirements.txt
 RUN cat /kaggle_requirements.txt >> /requirements.txt
 
-# TODO: GPU requirements.txt
-# TODO: merge them better (override matching ones).
-
 # Install Kaggle packages
 RUN uv pip install --system -r /requirements.txt
 
@@ -29,20 +26,6 @@ RUN uv pip install --system --force-reinstall --prerelease=allow "kagglehub[pand
 # to avoid affecting the larger build, we'll post-install it.
 RUN uv pip install --no-build-isolation --system "git+https://github.com/Kaggle/learntools"
 
-# b/408281617: Torch is adamant that it can not install cudnn 9.3.x, only 9.1.x, but Tensorflow can only support 9.3.x.
-# This conflict causes a number of package downgrades, which are handled in this command
-RUN uv pip install \
-    --index-url https://pypi.nvidia.com --extra-index-url https://pypi.org/simple/ --index-strategy unsafe-first-match \
-    --system --force-reinstall "cuml-cu12==25.2.1" \
-    "nvidia-cudnn-cu12==9.3.0.75" "nvidia-cublas-cu12==12.5.3.2" "nvidia-cusolver-cu12==11.6.3.83" \
-    "nvidia-cuda-cupti-cu12==12.5.82" "nvidia-cuda-nvrtc-cu12==12.5.82" "nvidia-cuda-runtime-cu12==12.5.82" \
-    "nvidia-cufft-cu12==11.2.3.61" "nvidia-curand-cu12==10.3.6.82" "nvidia-cusparse-cu12==12.5.1.3" \
-    "nvidia-nvjitlink-cu12==12.5.82"
-RUN uv pip install --system --force-reinstall "pynvjitlink-cu12==0.5.2"
-
-# b/385145217 Latest Colab lacks mkl numpy, install it.
-RUN uv pip install --system --force-reinstall -i https://pypi.anaconda.org/intel/simple numpy
-
 # newer daal4py requires tbb>=2022, but libpysal is downgrading it for some reason
 RUN uv pip install --system "tbb>=2022" "libpysal==4.9.2"
 
@@ -50,15 +33,18 @@ RUN uv pip install --system "tbb>=2022" "libpysal==4.9.2"
 # b/415358158: Gensim removed from Colab image to upgrade scipy
 # b/456239669: remove huggingface-hub pin when pytorch-lighting and transformer are compatible
 # b/315753846: Unpin translate package, currently conflicts with adk 1.17.0
-RUN uv pip install --system --force-reinstall --no-deps torchtune gensim "scipy<=1.15.3" "huggingface-hub==0.36.0" "google-cloud-translate==3.12.1"
+# b/468379293: Unpin Pandas once cuml/cudf are compatible, version 3.0 causes issues
+# b/468383498: numpy will auto-upgrade to 2.4.x, which causes issues with numerous packages
+# b/468367647: Unpin protobuf, version greater than v5.29.5 causes issues with numerous packages
+RUN uv pip install --system --force-reinstall --no-deps torchtune gensim "scipy<=1.15.3" "huggingface-hub==0.36.0" "google-cloud-translate==3.12.1" "numpy==2.0.2" "pandas==2.2.2"
+RUN uv pip install --system --force-reinstall "protobuf==5.29.5"
 
 # Adding non-package dependencies:
 ADD clean-layer.sh  /tmp/clean-layer.sh
 ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl
 ADD patches/template_conf.json /opt/kaggle/conf.json
 
-# /opt/conda/lib/python3.11/site-packages
-ARG PACKAGE_PATH=/usr/local/lib/python3.11/dist-packages
+ARG PACKAGE_PATH=/usr/local/lib/python3.12/dist-packages
 
 # Install GPU-specific non-pip packages.
 {{ if eq .Accelerator "gpu" }}
@@ -168,7 +154,7 @@ ADD patches/kaggle_gcp.py \
 
 # Figure out why this is in a different place?
 # Found by doing a export PYTHONVERBOSE=1 and then running python and checking for where it looked for it.
-ADD patches/sitecustomize.py /usr/lib/python3.11/sitecustomize.py
+ADD patches/sitecustomize.py /usr/lib/python3.12/sitecustomize.py
 
 ARG GIT_COMMIT=unknown \
     BUILD_DATE=unknown
diff --git a/config.txt b/config.txt
index af541652..9546b47a 100644
--- a/config.txt
+++ b/config.txt
@@ -1,4 +1,4 @@
 BASE_IMAGE=us-docker.pkg.dev/colab-images/public/runtime
-BASE_IMAGE_TAG=release-colab_20250725-060057_RC00
+BASE_IMAGE_TAG=release-colab-external_20251024-060052_RC00
 CUDA_MAJOR_VERSION=12
 CUDA_MINOR_VERSION=5
diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index 503d37f9..7ff2f74e 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -7,11 +7,9 @@ PyArabic
 PyUpSet
 Pympler
 Rtree
-shapely<2
+shapely
 SimpleITK
-# b/302136621: Fix eli5 import for learntools, newer version require scikit-learn > 1.3
-TPOT==0.12.1
-Theano
+TPOT
 Wand
 annoy
 arrow
@@ -29,21 +27,14 @@ deap
 dipy
 docker
 easyocr
-# b/302136621: Fix eli5 import for learntools
-eli5
 emoji
 fastcore
-# b/445960030: Requires a newer version of fastai than the currently used base image.
-# Remove when relying on a newer base image.
-fastai>=2.8.4
 fasttext
 featuretools
 fiona
 fury
 fuzzywuzzy
 geojson
-# geopandas > v0.14.4 breaks learn tools
-geopandas==v0.14.4
 gensim
 # b/443054743,b/455550872
 google-adk[a2a,eval]
@@ -81,7 +72,7 @@ libpysal<=4.9.2
 lime
 line_profiler
 mamba
-matplotlib<3.8
+matplotlib
 mlcrate
 mne
 mpld3
@@ -90,9 +81,7 @@ nbconvert==6.4.5
 nbdev
 nilearn
 olefile
-# b/445960030: Broken in 1.19.0. See https://github.com/onnx/onnx/issues/7249.
-# Fixed with https://github.com/onnx/onnx/pull/7254. Upgrade when version with fix is published.
-onnx==1.18.0
+onnx
 openslide-bin
 openslide-python
 optuna
@@ -107,11 +96,9 @@ preprocessing
 pudb
 pyLDAvis
 pycryptodome
-pydegensac
 pydicom
 pyemd
 pyexcel-ods
-pymc3
 pymongo
 pypdf
 pytesseract
@@ -123,32 +110,25 @@ qtconsole
 ray
 rgf-python
 s3fs
-# b/302136621: Fix eli5 import for learntools
-scikit-learn==1.2.2
+scikit-learn
 # Scikit-learn accelerated library for x86
 scikit-learn-intelex>=2023.0.1
 scikit-multilearn
 scikit-optimize
 scikit-plot
 scikit-surprise
-# Also pinning seaborn for learntools
-seaborn==0.12.2
+seaborn
 git+https://github.com/facebookresearch/segment-anything.git
-# b/329869023: shap 0.45.0 breaks learntools
-shap==0.44.1
+shap
 squarify
 tensorflow-cloud
 tensorflow-io
 tensorflow-text
-tensorflow_decision_forests
 torchinfo
 torchmetrics
 torchtune
 transformers>=4.51.0
 vtk
 wavio
-# b/350573866: xgboost v2.1.0 breaks learntools
-xgboost==2.0.3
 xvfbwrapper
 ydata-profiling
-ydf
diff --git a/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/2/metadata.json b/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/2/metadata.json
deleted file mode 100755
index e6beacde..00000000
--- a/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/2/metadata.json
+++ /dev/null
@@ -1,6 +0,0 @@
-{
-    "keras_version": "3.0.1",
-    "keras_nlp_version": "0.7.0",
-    "parameter_count": 4385920,
-    "date_saved": "2023-12-27@02:02:24"
-}
\ No newline at end of file
diff --git a/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/2/tokenizer.json b/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/2/tokenizer.json
deleted file mode 100755
index 48d99632..00000000
--- a/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/2/tokenizer.json
+++ /dev/null
@@ -1,21 +0,0 @@
-{
-    "module": "keras_nlp.src.models.bert.bert_tokenizer",
-    "class_name": "BertTokenizer",
-    "config": {
-        "name": "bert_tokenizer",
-        "trainable": true,
-        "dtype": "int32",
-        "vocabulary": null,
-        "sequence_length": null,
-        "lowercase": true,
-        "strip_accents": false,
-        "split": true,
-        "suffix_indicator": "##",
-        "oov_token": "[UNK]"
-    },
-    "registered_name": "keras_nlp>BertTokenizer",
-    "assets": [
-        "assets/tokenizer/vocabulary.txt"
-    ],
-    "weights": null
-}
\ No newline at end of file
diff --git a/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/2/assets/tokenizer/vocabulary.txt b/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/3/assets/tokenizer/vocabulary.txt
old mode 100755
new mode 100644
similarity index 100%
rename from tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/2/assets/tokenizer/vocabulary.txt
rename to tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/3/assets/tokenizer/vocabulary.txt
diff --git a/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/2/config.json b/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/3/config.json
similarity index 68%
rename from tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/2/config.json
rename to tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/3/config.json
index 3afddd31..94aa0b65 100755
--- a/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/2/config.json
+++ b/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/3/config.json
@@ -1,5 +1,5 @@
 {
-    "module": "keras_nlp.src.models.bert.bert_backbone",
+    "module": "keras_hub.src.models.bert.bert_backbone",
     "class_name": "BertBackbone",
     "config": {
         "name": "bert_backbone",
@@ -13,7 +13,5 @@
         "max_sequence_length": 512,
         "num_segments": 2
     },
-    "registered_name": "keras_nlp>BertBackbone",
-    "assets": [],
-    "weights": "model.weights.h5"
+    "registered_name": "keras_hub>BertBackbone"
 }
\ No newline at end of file
diff --git a/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/3/metadata.json b/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/3/metadata.json
new file mode 100755
index 00000000..db25ecad
--- /dev/null
+++ b/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/3/metadata.json
@@ -0,0 +1,10 @@
+{
+    "keras_version": "3.7.0",
+    "keras_hub_version": "0.19.0",
+    "parameter_count": 4385920,
+    "date_saved": "2024-12-20@19:42:50",
+    "tasks": [
+        "MaskedLM",
+        "TextClassifier"
+    ]
+}
\ No newline at end of file
diff --git a/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/3/model.weights.h5 b/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/3/model.weights.h5
new file mode 100755
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literal 0
HcmV?d00001

diff --git a/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/3/tokenizer.json b/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/3/tokenizer.json
new file mode 100755
index 00000000..d32697cc
--- /dev/null
+++ b/tests/data/kagglehub/models/keras/bert/keras/bert_tiny_en_uncased/3/tokenizer.json
@@ -0,0 +1,27 @@
+{
+    "module": "keras_hub.src.models.bert.bert_tokenizer",
+    "class_name": "BertTokenizer",
+    "config": {
+        "name": "bert_tokenizer",
+        "trainable": true,
+        "dtype": {
+            "module": "keras",
+            "class_name": "DTypePolicy",
+            "config": {
+                "name": "int32"
+            },
+            "registered_name": null
+        },
+        "config_file": "tokenizer.json",
+        "vocabulary": null,
+        "sequence_length": null,
+        "lowercase": true,
+        "strip_accents": false,
+        "split": true,
+        "suffix_indicator": "##",
+        "oov_token": "[UNK]",
+        "special_tokens": null,
+        "special_tokens_in_strings": false
+    },
+    "registered_name": "keras_hub>BertTokenizer"
+}
\ No newline at end of file
diff --git a/tests/test_geopandas.py b/tests/test_geopandas.py
deleted file mode 100644
index 4c0106b2..00000000
--- a/tests/test_geopandas.py
+++ /dev/null
@@ -1,16 +0,0 @@
-import unittest
-
-import geopandas
-
-class TestGeopandas(unittest.TestCase):
-    def test_read(self):
-        df = geopandas.read_file(geopandas.datasets.get_path('nybb'))
-        self.assertTrue(df.size > 1)
-
-    def test_spatial_join(self):
-        cities = geopandas.read_file(geopandas.datasets.get_path('naturalearth_cities'))
-        world = geopandas.read_file(geopandas.datasets.get_path('naturalearth_lowres'))
-        countries = world[['geometry', 'name']]
-        countries = countries.rename(columns={'name':'country'})
-        cities_with_country = geopandas.sjoin(cities, countries, how="inner", op='intersects')
-        self.assertTrue(cities_with_country.size > 1)
diff --git a/tests/test_matplotlib.py b/tests/test_matplotlib.py
index c04f3f23..125ccda4 100644
--- a/tests/test_matplotlib.py
+++ b/tests/test_matplotlib.py
@@ -8,10 +8,6 @@
 import numpy as np
 
 class TestMatplotlib(unittest.TestCase):
-    def test_version(self):
-        # b/308525631: newer versions of Matplotlib causes learntools to fail
-        self.assertLess(StrictVersion(matplotlib.__version__), StrictVersion("3.8.0"))
-
     def test_plot(self):
         plt.plot(np.linspace(0,1,50), np.random.rand(50))
         plt.savefig("plot1.png")
diff --git a/tests/test_numpy.py b/tests/test_numpy.py
index 948455ea..ab7ec03c 100644
--- a/tests/test_numpy.py
+++ b/tests/test_numpy.py
@@ -7,25 +7,7 @@
 from contextlib import redirect_stdout
 
 class TestNumpy(unittest.TestCase):
-    def test_version(self):
-        # b/370860329: newer versions are not capable with current tensorflow
-        self.assertEqual(StrictVersion(np.__version__), StrictVersion("1.26.4")) 
-
     def test_array(self):
         array = np.array([1, 3])
 
         self.assertEqual((2,), array.shape)
-
-    # Numpy must be linked to the MKL. (Occasionally, a third-party package will muck up the installation
-    # and numpy will be reinstalled with an OpenBLAS backing.)
-    def test_mkl(self):
-        try:
-            from numpy.distutils.system_info import get_info
-            # This will throw an exception if the MKL is not linked correctly or return an empty dict.
-            self.assertTrue(get_info("blas_mkl"))
-        except:
-            # Fallback to check if mkl is present via show_config()
-            config_out = io.StringIO()
-            with redirect_stdout(config_out):
-                np.show_config()
-            self.assertIn("mkl_rt", config_out.getvalue())
diff --git a/tests/test_pydegensac.py b/tests/test_pydegensac.py
deleted file mode 100644
index be72b53e..00000000
--- a/tests/test_pydegensac.py
+++ /dev/null
@@ -1,18 +0,0 @@
-import unittest
-
-import pydegensac
-import numpy as np
-
-
-class TestPydegensac(unittest.TestCase):
-    def test_find_homography(self):
-        src_pts = np.float32([ [0,0],[0,1],[1,1],[1,0] ]).reshape(-1,2)
-        dst_pts = np.float32([ [0,0],[0,-1],[-1,-1],[-1,0] ]).reshape(-1,2)
-
-        H, mask = pydegensac.findHomography(src_pts, dst_pts, 4, 1)
-
-        self.assertEqual(3, len(H))
-        self.assertEqual(4, len(mask))
-
-
-
diff --git a/tests/test_xgboost.py b/tests/test_xgboost.py
index 618a63cc..68166813 100644
--- a/tests/test_xgboost.py
+++ b/tests/test_xgboost.py
@@ -17,10 +17,9 @@ def test_classifier(self):
         X_test = np.random.random((100, 28))
         y_test = np.random.randint(10, size=(100, 1))
 
-        xgb1 = XGBClassifier(n_estimators=3, use_label_encoder=False)
+        xgb1 = XGBClassifier(n_estimators=3, use_label_encoder=False, eval_metric='mlogloss')
         xgb1.fit(
             X_train, y_train,
             eval_set=[(X_train, y_train), (X_test, y_test)],
-            eval_metric='mlogloss'
         )
         self.assertIn("validation_0", xgb1.evals_result())

From 7b71a41513936a4e8e6679b620a53d41a7c26bfc Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Fri, 12 Dec 2025 16:06:50 -0800
Subject: [PATCH 1627/1660] Clean up preinstalled packages (#1517)

these are already in colab base image, let's remove them
---
 kaggle_requirements.txt | 5 -----
 1 file changed, 5 deletions(-)

diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index 7ff2f74e..d2f61477 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -12,7 +12,6 @@ SimpleITK
 TPOT
 Wand
 annoy
-arrow
 bayesian-optimization
 boto3
 catboost
@@ -28,7 +27,6 @@ dipy
 docker
 easyocr
 emoji
-fastcore
 fasttext
 featuretools
 fiona
@@ -117,13 +115,10 @@ scikit-multilearn
 scikit-optimize
 scikit-plot
 scikit-surprise
-seaborn
 git+https://github.com/facebookresearch/segment-anything.git
-shap
 squarify
 tensorflow-cloud
 tensorflow-io
-tensorflow-text
 torchinfo
 torchmetrics
 torchtune

From e4be308ff5e16f5b7fa7afd1b9263f08f02d7cce Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Mon, 15 Dec 2025 11:33:48 -0800
Subject: [PATCH 1628/1660] Install Gemma Package (#1518)

let's preinstall this package for fun
---
 kaggle_requirements.txt | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index d2f61477..4d8a1ca0 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -34,6 +34,7 @@ fury
 fuzzywuzzy
 geojson
 gensim
+gemma
 # b/443054743,b/455550872
 google-adk[a2a,eval]
 google-cloud-aiplatform
@@ -60,6 +61,8 @@ jupyterlab-lsp
 # Colab base image is updated more frequently.
 kaggle>=1.7.4.2
 kaggle-environments
+# Lastest version to support Gemma
+kauldron>=1.3.0
 keras-cv
 keras-nlp
 keras-tuner

From e66d473c659d9803117457a1e172f9f54386d48b Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Mon, 15 Dec 2025 18:29:32 -0800
Subject: [PATCH 1629/1660] Remove Annoy Package (#1519)

Internal metric shows that this package doesn't have high usage, and is
causes our tests to fail. Let's remove it.
---
 kaggle_requirements.txt |  1 -
 tests/test_annoy.py     | 11 -----------
 2 files changed, 12 deletions(-)
 delete mode 100644 tests/test_annoy.py

diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index 4d8a1ca0..f34576a4 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -11,7 +11,6 @@ shapely
 SimpleITK
 TPOT
 Wand
-annoy
 bayesian-optimization
 boto3
 catboost
diff --git a/tests/test_annoy.py b/tests/test_annoy.py
deleted file mode 100644
index 93b7d0c2..00000000
--- a/tests/test_annoy.py
+++ /dev/null
@@ -1,11 +0,0 @@
-import unittest
-
-from annoy import AnnoyIndex
-
-
-class TestAnnoy(unittest.TestCase):
-    def test_tree(self):
-        t = AnnoyIndex(5, 'angular')
-        t.add_item(1, [1,2,3,4,5])
-
-        self.assertTrue(t.build(1))

From a85fe201725b79af18ae5d898542f334f70aa8ac Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Thu, 18 Dec 2025 15:19:14 -0800
Subject: [PATCH 1630/1660] Remove Gemma package due to incompatibility and pin
 google-adk to latest (#1520)

gemma requires "kauldron>=1.3.0" or else it fails when loading models.
Unfortunately this version of kauldron is not support by google-adk
causing issues with our "Five days of AI" notebooks. Somehow, our
package installer resolves it to a very old version (0.0.1)

let's remove Gemma for now.
---
 kaggle_requirements.txt         |  7 +++----
 tests/test_google_import_adk.py | 31 +++++++++++++++++++++++++++++++
 tests/test_jiter.py             |  9 +++++++++
 3 files changed, 43 insertions(+), 4 deletions(-)
 create mode 100644 tests/test_google_import_adk.py
 create mode 100644 tests/test_jiter.py

diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index f34576a4..43a170ce 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -33,9 +33,8 @@ fury
 fuzzywuzzy
 geojson
 gensim
-gemma
 # b/443054743,b/455550872
-google-adk[a2a,eval]
+google-adk[a2a,eval]>=1.21.0
 google-cloud-aiplatform
 google-cloud-videointelligence
 google-cloud-vision
@@ -49,6 +48,8 @@ ipympl
 ipywidgets==8.1.5
 isoweek
 jedi
+# jitler 0.11.1 breaks simulation image
+jiter==0.10.0
 # b/276358430: fix Jupyter lsp freezing up the jupyter server
 jupyter-lsp==1.5.1
 # b/333854354: pin jupyter-server to version 2.12.5; later versions break LSP (b/333854354)
@@ -60,8 +61,6 @@ jupyterlab-lsp
 # Colab base image is updated more frequently.
 kaggle>=1.7.4.2
 kaggle-environments
-# Lastest version to support Gemma
-kauldron>=1.3.0
 keras-cv
 keras-nlp
 keras-tuner
diff --git a/tests/test_google_import_adk.py b/tests/test_google_import_adk.py
new file mode 100644
index 00000000..9ae11314
--- /dev/null
+++ b/tests/test_google_import_adk.py
@@ -0,0 +1,31 @@
+import json
+import unittest
+import threading
+from urllib.parse import urlparse
+
+class TestGoogleADK(unittest.TestCase):
+
+    def define_agent(self):
+        from google.adk.agents import Agent
+        from google.adk.models.google_llm import Gemini
+        from google.adk.runners import InMemoryRunner
+        from google.adk.tools import google_search
+        from google.genai import types
+
+        retry_config = types.HttpRetryOptions(
+            attempts=5,                             # Maximum retry attempts
+            exp_base=7,                             # Delay multiplier
+            initial_delay=1,                        # Initial delay before first retry (in seconds)
+            http_status_codes=[429, 500, 503, 504]  # Retry on these HTTP errors
+        )
+
+        root_agent = Agent(
+            name="helpful_assistant",
+            model=Gemini(
+                model="gemini-2.0-flash-lite",
+                retry_options=retry_config
+            ),
+            description="A simple agent that can answer general questions.",
+            instruction="You are a helpful assistant. Use Google Search for current info or if unsure.",
+            tools=[google_search],
+        )
diff --git a/tests/test_jiter.py b/tests/test_jiter.py
new file mode 100644
index 00000000..6b31925e
--- /dev/null
+++ b/tests/test_jiter.py
@@ -0,0 +1,9 @@
+import unittest
+
+from distutils.version import StrictVersion
+
+import jiter
+
+class TestJiter(unittest.TestCase):
+    def test_version(self):
+        self.assertEqual(StrictVersion(jiter.__version__), StrictVersion("0.10.0"))

From 0c165a3509dc251c5fedd305ffd71cf4e1d718f0 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Tue, 13 Jan 2026 11:19:23 -0800
Subject: [PATCH 1631/1660] Fix kagglehub fake API server (#1522)

Starting with `kagglehub` 0.4.0, a new generated Python client is used
which sends POST requests instead of GET. The endpoint is now controlled
via the `KAGGLE_API_ENVIRONMENT` env variable.

http://b/475292408
---
 tests/utils/kagglehub.py | 26 +++++++++++++++-----------
 1 file changed, 15 insertions(+), 11 deletions(-)

diff --git a/tests/utils/kagglehub.py b/tests/utils/kagglehub.py
index d7819dde..7a2a8995 100644
--- a/tests/utils/kagglehub.py
+++ b/tests/utils/kagglehub.py
@@ -1,3 +1,4 @@
+import json
 import os
 import threading
 import re
@@ -7,6 +8,8 @@
 from test.support.os_helper import EnvironmentVarGuard
 from http.server import BaseHTTPRequestHandler, HTTPServer
 
+from kagglesdk.kaggle_env import get_endpoint, get_env
+
 class KaggleAPIHandler(BaseHTTPRequestHandler):
     """
     Fake Kaggle API server supporting the download endpoint.
@@ -15,15 +18,18 @@ class KaggleAPIHandler(BaseHTTPRequestHandler):
     def do_HEAD(self):
         self.send_response(200)
 
-    def do_GET(self):
-        m = re.match("^/api/v1/models/(.+)/download/(.+)$", self.path)
-        if not m:
+    def do_POST(self):
+        content_length = int(self.headers.get('Content-Length', 0))
+        body_bytes = self.rfile.read(content_length)
+        request_body = json.loads(body_bytes.decode('utf-8'))
+
+        if self.path != "/api/v1/models.ModelApiService/DownloadModelInstanceVersion":
             self.send_response(404)
             self.wfile.write(bytes(f"Unhandled path: {self.path}", "utf-8"))
             return
 
-        model_handle = m.group(1)
-        path = m.group(2)
+        model_handle = f"{request_body["ownerSlug"]}/{request_body["modelSlug"]}/keras/{request_body["instanceSlug"]}/{request_body["versionNumber"]}"
+        path = request_body["path"]
         filepath = f"/input/tests/data/kagglehub/models/{model_handle}/{path}"
         if not os.path.isfile(filepath):
             self.send_error(404, "Internet is disabled in our tests "
@@ -41,14 +47,12 @@ def do_GET(self):
 
 @contextmanager
 def create_test_kagglehub_server():
-    endpoint = 'http://localhost:7777'
     env = EnvironmentVarGuard()
-    env.set('KAGGLE_API_ENDPOINT', endpoint)
-    test_server_address = urlparse(endpoint)
+    env.set('KAGGLE_API_ENVIRONMENT', 'TEST')
     with env:
-        if not test_server_address.hostname or not test_server_address.port:
-            msg = f"Invalid test server address: {endpoint}. You must specify a hostname & port"
-            raise ValueError(msg)
+        endpoint = get_endpoint(get_env())
+        test_server_address = urlparse(endpoint)
+
         with HTTPServer((test_server_address.hostname, test_server_address.port), KaggleAPIHandler) as httpd:
             threading.Thread(target=httpd.serve_forever).start()
 

From 58a688fa4987f3240c60c33110e744f3502f5745 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 29 Jan 2026 09:26:23 -0800
Subject: [PATCH 1632/1660] Notify @dockerops (#1524)

http://b/479820722
---
 Jenkinsfile | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 906e0464..c4af03e6 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -187,13 +187,13 @@ pipeline {
 
   post {
     failure {
-      mattermostSend color: 'danger', message: "*<${env.BUILD_URL}console|${JOB_NAME} failed>* ${GIT_COMMIT_SUMMARY} @kernels-backend-ops", channel: env.MATTERMOST_CHANNEL
+      mattermostSend color: 'danger', message: "*<${env.BUILD_URL}console|${JOB_NAME} failed>* ${GIT_COMMIT_SUMMARY} @dockerops", channel: env.MATTERMOST_CHANNEL
     }
     success {
-      mattermostSend color: 'good', message: "*<${env.BUILD_URL}console|${JOB_NAME} passed>* ${GIT_COMMIT_SUMMARY} @kernels-backend-ops", channel: env.MATTERMOST_CHANNEL
+      mattermostSend color: 'good', message: "*<${env.BUILD_URL}console|${JOB_NAME} passed>* ${GIT_COMMIT_SUMMARY} @dockerops", channel: env.MATTERMOST_CHANNEL
     }
     aborted {
-      mattermostSend color: 'warning', message: "*<${env.BUILD_URL}console|${JOB_NAME} aborted>* ${GIT_COMMIT_SUMMARY} @kernels-backend-ops", channel: env.MATTERMOST_CHANNEL
+      mattermostSend color: 'warning', message: "*<${env.BUILD_URL}console|${JOB_NAME} aborted>* ${GIT_COMMIT_SUMMARY} @dockerops", channel: env.MATTERMOST_CHANNEL
     }
   }
 }

From 00f8fe904f4c82c07de1e0826d1a4523dfde65ac Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 29 Jan 2026 14:01:37 -0800
Subject: [PATCH 1633/1660] Remove huggingface hub pin (#1526)

Starting with `transformers 5.0.0`, it now works with `huggingface-hub
>= 1.3`
---
 Dockerfile.tmpl         | 3 +--
 kaggle_requirements.txt | 2 +-
 2 files changed, 2 insertions(+), 3 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 4f7f05b1..73cbc6be 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -31,12 +31,11 @@ RUN uv pip install --system "tbb>=2022" "libpysal==4.9.2"
 
 # b/404590350: Ray and torchtune have conflicting tune cli, we will prioritize torchtune.
 # b/415358158: Gensim removed from Colab image to upgrade scipy
-# b/456239669: remove huggingface-hub pin when pytorch-lighting and transformer are compatible
 # b/315753846: Unpin translate package, currently conflicts with adk 1.17.0
 # b/468379293: Unpin Pandas once cuml/cudf are compatible, version 3.0 causes issues
 # b/468383498: numpy will auto-upgrade to 2.4.x, which causes issues with numerous packages
 # b/468367647: Unpin protobuf, version greater than v5.29.5 causes issues with numerous packages
-RUN uv pip install --system --force-reinstall --no-deps torchtune gensim "scipy<=1.15.3" "huggingface-hub==0.36.0" "google-cloud-translate==3.12.1" "numpy==2.0.2" "pandas==2.2.2"
+RUN uv pip install --system --force-reinstall --no-deps torchtune gensim "scipy<=1.15.3" "google-cloud-translate==3.12.1" "numpy==2.0.2" "pandas==2.2.2"
 RUN uv pip install --system --force-reinstall "protobuf==5.29.5"
 
 # Adding non-package dependencies:
diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index 43a170ce..be82067d 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -123,7 +123,7 @@ tensorflow-io
 torchinfo
 torchmetrics
 torchtune
-transformers>=4.51.0
+transformers>=5.0.0
 vtk
 wavio
 xvfbwrapper

From 61b22275eb4d0cc968cd57916a12b76306eb6d77 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 29 Jan 2026 15:25:20 -0800
Subject: [PATCH 1634/1660] Bump Kaggle CLI version (#1527)

http://b/409363708
---
 kaggle_requirements.txt | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index be82067d..1fda2e0d 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -57,9 +57,7 @@ jupyter_server==2.12.5
 jupyter_server_proxy
 jupyterlab
 jupyterlab-lsp
-# b/409363708: Ensure we have the update version, we can consider removing it once
-# Colab base image is updated more frequently.
-kaggle>=1.7.4.2
+kaggle>=1.8.3
 kaggle-environments
 keras-cv
 keras-nlp

From 8a95ad132d67d16f4a5fc186b49dbaf2c6503a6a Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 29 Jan 2026 16:22:26 -0800
Subject: [PATCH 1635/1660] Unpin nltk (#1530)

Also removed `preprocessing` python package because it pins `nltk`:
https://github.com/SpotlightData/preprocessing/blob/180c6472bc2642afbd7a1ece08d0b0d14968a708/requirements.txt#L1

The `preprocessing` package is unmaintained, last release was in 2017.

http://b/408298750
---
 Dockerfile.tmpl         | 4 ----
 kaggle_requirements.txt | 1 -
 2 files changed, 5 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 73cbc6be..a25288aa 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -70,10 +70,6 @@ ADD patches/keras_internal.py \
 RUN apt-get install -y libfreetype6-dev && \
     apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing
 
-# NLTK Project datasets
-# b/408298750: We currently reinstall the package, because we get the following error:
-# `AttributeError: module 'inspect' has no attribute 'formatargspec'. Did you mean: 'formatargvalues'?`
-RUN uv pip install --system --force-reinstall "nltk>=3.9.1"
 RUN mkdir -p /usr/share/nltk_data && \
     # NLTK Downloader no longer continues smoothly after an error, so we explicitly list
     # the corpuses that work
diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index 1fda2e0d..4b66ecb6 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -89,7 +89,6 @@ path
 path.py
 pdf2image
 plotly-express
-preprocessing
 pudb
 pyLDAvis
 pycryptodome

From c9a17d31bb109cc2e93257acf0f7958d9c9ddb83 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 29 Jan 2026 16:36:28 -0800
Subject: [PATCH 1636/1660] Fix diff script to allow diffing colab images
 (#1531)

Also still works for diffing kaggle images.
---
 diff | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/diff b/diff
index c0eb2e18..c8251703 100755
--- a/diff
+++ b/diff
@@ -104,7 +104,7 @@ fi
 for cmd in "${CMDS[@]}"; do
     echo "== Comparing $cmd =="
     diff --suppress-common-lines --side-by-side \
-        <(docker run -v $PWD/tools:/tools --rm "$BASE_IMAGE_TAG" /bin/bash -c "$cmd") \
-        <(docker run -v $PWD/tools:/tools --rm "$TARGET_IMAGE_TAG" /bin/bash -c "$cmd") \
+        <(docker run -v $PWD/tools:/tools --entrypoint bash --rm "$BASE_IMAGE_TAG" -c "$cmd") \
+        <(docker run -v $PWD/tools:/tools --entrypoint bash --rm "$TARGET_IMAGE_TAG" -c "$cmd") \
         && echo 'No diff' || true
 done

From 871d63b6404e472bd2507bd7dfce7871eaccc846 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 30 Jan 2026 10:14:27 -0800
Subject: [PATCH 1637/1660] Add kagglehub in kaggle_requirements.txt (#1525)

The sigstore version is now longer in pre-release:
https://pypi.org/project/sigstore/#history

http://b/394382016
---
 Dockerfile.tmpl         | 3 ---
 kaggle_requirements.txt | 1 +
 2 files changed, 1 insertion(+), 3 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index a25288aa..262acc95 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -19,9 +19,6 @@ RUN uv pip install --system -r /requirements.txt
 # b/183041606#comment5: the Kaggle data proxy doesn't support these APIs. If the library is missing, it falls back to using a regular BigQuery query to fetch data.
 RUN uv pip uninstall --system google-cloud-bigquery-storage
 
-# b/394382016: sigstore (dependency of kagglehub) requires a prerelease packages, installing separate.
-RUN uv pip install --system --force-reinstall --prerelease=allow "kagglehub[pandas-datasets,hf-datasets,signing]>=0.3.12"
-
 # uv cannot install this in requirements.txt without --no-build-isolation
 # to avoid affecting the larger build, we'll post-install it.
 RUN uv pip install --no-build-isolation --system "git+https://github.com/Kaggle/learntools"
diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index 4b66ecb6..4799254b 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -59,6 +59,7 @@ jupyterlab
 jupyterlab-lsp
 kaggle>=1.8.3
 kaggle-environments
+kagglehub[pandas-datasets,hf-datasets,signing]>=0.4.2
 keras-cv
 keras-nlp
 keras-tuner

From 3a37a2dfbff7b31fb299ad97ff457434195b25fa Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 30 Jan 2026 10:21:24 -0800
Subject: [PATCH 1638/1660] Unpin gensim & scipy (#1528)

The latest version of `gensim` (4.4.0) now supports the latest version
of scipy:
* https://github.com/piskvorky/gensim/blob/4.4.0/setup.py#L331 (`scipy
  >= 1.7.0`)
* https://github.com/piskvorky/gensim/blob/4.3.3/setup.py#L337 (`scipy
  >= 1.7.0, <1.14.0`

http://b/335003097
http://b/415358158
---
 Dockerfile.tmpl | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 262acc95..a7896a26 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -27,12 +27,11 @@ RUN uv pip install --no-build-isolation --system "git+https://github.com/Kaggle/
 RUN uv pip install --system "tbb>=2022" "libpysal==4.9.2"
 
 # b/404590350: Ray and torchtune have conflicting tune cli, we will prioritize torchtune.
-# b/415358158: Gensim removed from Colab image to upgrade scipy
 # b/315753846: Unpin translate package, currently conflicts with adk 1.17.0
 # b/468379293: Unpin Pandas once cuml/cudf are compatible, version 3.0 causes issues
 # b/468383498: numpy will auto-upgrade to 2.4.x, which causes issues with numerous packages
 # b/468367647: Unpin protobuf, version greater than v5.29.5 causes issues with numerous packages
-RUN uv pip install --system --force-reinstall --no-deps torchtune gensim "scipy<=1.15.3" "google-cloud-translate==3.12.1" "numpy==2.0.2" "pandas==2.2.2"
+RUN uv pip install --system --force-reinstall --no-deps torchtune "google-cloud-translate==3.12.1" "numpy==2.0.2" "pandas==2.2.2"
 RUN uv pip install --system --force-reinstall "protobuf==5.29.5"
 
 # Adding non-package dependencies:

From 5c2b583761fefa26489c9177cacb641310c50d86 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 30 Jan 2026 10:22:01 -0800
Subject: [PATCH 1639/1660] Remove scripts for building package from source.
 (#1529)

We don't use those anymore.

http://b/479910066
---
 packages/README.md         |   0
 packages/build_package     | 148 -------------------------------------
 packages/jaxlib.Dockerfile |  41 ----------
 packages/torch.Dockerfile  |  86 ---------------------
 4 files changed, 275 deletions(-)
 delete mode 100644 packages/README.md
 delete mode 100755 packages/build_package
 delete mode 100644 packages/jaxlib.Dockerfile
 delete mode 100644 packages/torch.Dockerfile

diff --git a/packages/README.md b/packages/README.md
deleted file mode 100644
index e69de29b..00000000
diff --git a/packages/build_package b/packages/build_package
deleted file mode 100755
index e0af53e2..00000000
--- a/packages/build_package
+++ /dev/null
@@ -1,148 +0,0 @@
-#!/bin/bash
-set -e
-
-usage() {
-cat << EOF
-Usage: $0 [OPTIONS]
-Build a new package ".whl".
-
-Options:
-    -p, --package PACKAGE     Package to build (e.g. lightgbm).
-    -v, --version VERSION     Package version to build.
-    -b, --base-image IMAGE    Base image tag (e.g. m80).
-    -c, --use-cache           Use layer cache when building a new image.
-    -f, --force-rebuild       Rebuild the image regardless of whether it already exist on GCR.
-    -u, --push                Push image to GCR.
-    --build-arg ARG=VALUE     Build arguments to pass to the docker build command.
-EOF
-}
-
-PACKAGE=''
-PACKAGE_VERSION=''
-BASE_IMAGE=''
-DOCKERFILE=''
-CACHE_FLAG='--no-cache'
-FORCE_REBUILD=false
-PUSH_TO_GCR=false
-BUILD_ARGS=''
-
-while :; do
-    case "$1" in 
-        -h|--help)
-            usage
-            exit
-            ;;
-        -p|--package)
-            if [[ -z $2 ]]; then
-                usage
-                printf 'ERROR: No IMAGE specified after the %s flag.\n' "$1" >&2
-                exit 1
-            fi
-            PACKAGE=$2
-            DOCKERFILE="${PACKAGE}.Dockerfile"
-            shift # skip the flag value
-            ;;
-        -v|--version)
-            if [[ -z $2 ]]; then
-                usage
-                printf 'ERROR: No VERSION specified after the %s flag.\n' "$1" >&2
-                exit 1
-            fi
-            PACKAGE_VERSION=$2
-            shift # skip the flag value
-            ;;
-        -t|--base-image)
-            if [[ -z $2 ]]; then
-                usage
-                printf 'ERROR: No TAG specified after the %s flag.\n' "$1" >&2
-                exit 1
-            fi
-            BASE_IMAGE=$2
-            shift # skip the flag value
-            ;;
-        -c|--use-cache)
-            CACHE_FLAG=''
-            ;;
-        -f|--force-rebuild)
-            FORCE_REBUILD=true
-            ;;
-        -u|--push)
-            PUSH_TO_GCR=true
-            ;;
-        --build-arg)
-            if [[ -z $2 ]]; then
-                usage
-                printf 'ERROR: No ARG=VALUE specified after the %s flag.\n' "$1" >&2
-                exit 1
-            fi
-            BUILD_ARGS+=" $1 $2"
-            shift # skip the flag value
-            ;;
-        -?*)
-            usage
-            printf 'ERROR: Unknown option: %s\n' "$1" >&2
-            exit 1
-            ;;
-        *)            
-            break
-    esac
-
-    shift
-done
-
-readonly PACKAGE
-readonly PACKAGE_VERSION
-readonly BASE_IMAGE
-readonly DOCKERFILE
-readonly CACHE_FLAG
-readonly FORCE_REBUILD
-
-SRCDIR=$(dirname "${BASH_SOURCE[0]}")
-DOCKERFILE_PATH="$SRCDIR/$DOCKERFILE"
-
-if [[ -z "$PACKAGE_VERSION" ]]; then
-    printf 'ERROR: missing --version flag.\n'
-    exit 1
-fi
-
-if [[ -z "$BASE_IMAGE" ]]; then
-    printf 'ERROR: missing --base-image flag.\n'
-    exit 1
-fi
-
-if [[ -z "$DOCKERFILE" ]]; then
-    printf 'ERROR: missing --package flag.\n'
-    exit 1
-fi
-
-# Keep only `release-colab_20240920-060127_RC00` in `us-docker.pkg.dev/colab-images/public/runtime:release-colab_20240920-060127_RC00` 
-TAG=$(echo $BASE_IMAGE | cut -d ':' -f 2)
-# Append the package version
-TAG=$TAG-$PACKAGE_VERSION
-# Add the gcr repo.
-TAG=gcr.io/kaggle-images/python-$PACKAGE-whl:$TAG
-
-SHOULD_BUILD=true
-if ! $FORCE_REBUILD; then
-    echo "Checking if $TAG exists..."
-    docker pull $TAG && SHOULD_BUILD=false
-fi
-
-if $SHOULD_BUILD; then
-    echo "Building $TAG..."
-    docker build --rm --pull $BUILD_ARGS \
-        $CACHE_FLAG \
-        -t $TAG \
-        -f "$DOCKERFILE_PATH" \
-        --build-arg BASE_IMAGE=$BASE_IMAGE \
-        --build-arg PACKAGE_VERSION=$PACKAGE_VERSION \
-        $SRCDIR
-    
-    if $PUSH_TO_GCR; then
-        echo "Pushing $TAG to GCR..."
-        docker push $TAG
-    fi
-else
-    echo "Skipping build. $TAG already exists."
-    echo "Use --force-rebuild if you want to build a new version anyway."
-fi
\ No newline at end of file
diff --git a/packages/jaxlib.Dockerfile b/packages/jaxlib.Dockerfile
deleted file mode 100644
index ed73991c..00000000
--- a/packages/jaxlib.Dockerfile
+++ /dev/null
@@ -1,41 +0,0 @@
-ARG BASE_IMAGE
-
-FROM ${BASE_IMAGE} AS builder
-
-ARG PACKAGE_VERSION
-ARG CUDA_MAJOR_VERSION
-ARG CUDA_MINOR_VERSION
-
-# Make sure we are on the right version of CUDA
-RUN update-alternatives --set cuda /usr/local/cuda-$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION
-
-# Ensures shared libraries installed with conda can be found by the dynamic link loader.
-# For PyTorch, we need specifically mkl.
-ENV LIBRARY_PATH="$LIBRARY_PATH:/opt/conda/lib"
-ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/opt/conda/lib"
-
-# Instructions: https://jax.readthedocs.io/en/latest/developer.html#building-jaxlib-from-source
-RUN sudo ln -s /usr/bin/python3 /usr/bin/python
-
-RUN apt-get update && \ 
-    apt-get install -y g++ python3 python3-dev
-
-RUN pip install numpy wheel build
-
-RUN cd /usr/local/src && \
-    git clone https://github.com/google/jax && \
-    cd jax && \
-    git checkout jaxlib-v$PACKAGE_VERSION
-
-RUN cd /usr/local/src/jax && \
-    python build/build.py --enable_cuda
-
-# Using multi-stage builds to ensure the output image is very small
-# See: https://docs.docker.com/develop/develop-images/multistage-build/
-FROM alpine:latest
-
-RUN mkdir -p /tmp/whl/
-COPY --from=builder /usr/local/src/jax/dist/*.whl /tmp/whl
-
-# Print out the built .whl file.
-RUN ls -lh /tmp/whl/
\ No newline at end of file
diff --git a/packages/torch.Dockerfile b/packages/torch.Dockerfile
deleted file mode 100644
index 68c1eff3..00000000
--- a/packages/torch.Dockerfile
+++ /dev/null
@@ -1,86 +0,0 @@
-ARG BASE_IMAGE
-
-FROM ${BASE_IMAGE} AS builder
-
-ARG PACKAGE_VERSION
-ARG TORCHAUDIO_VERSION
-ARG TORCHVISION_VERSION
-ARG CUDA_MAJOR_VERSION
-ARG CUDA_MINOR_VERSION
-
-# Make sure we are on the right version of CUDA
-RUN update-alternatives --set cuda /usr/local/cuda-$CUDA_MAJOR_VERSION.$CUDA_MINOR_VERSION
-
-# TORCHVISION_VERSION is mandatory
-RUN test -n "$TORCHVISION_VERSION"
-
-# Use mamba to speed up conda installs
-RUN conda install -c conda-forge mamba
-
-# Build instructions: https://github.com/pytorch/pytorch#from-source
-RUN mamba install astunparse numpy ninja pyyaml mkl mkl-include setuptools cmake cffi typing_extensions future six requests dataclasses
-RUN mamba install -c pytorch magma-cuda121
-
-# By default, it uses the version from version.txt which includes the `a0` (alpha zero) suffix and part of the git hash.
-# This causes dependency conflicts like these: https://paste.googleplex.com/4786486378496000
-ENV PYTORCH_BUILD_VERSION=$PACKAGE_VERSION
-ENV PYTORCH_BUILD_NUMBER=1
-
-# Ensures shared libraries installed with conda can be found by the dynamic link loader.
-# For PyTorch, we need specifically mkl.
-ENV LIBRARY_PATH="$LIBRARY_PATH:/opt/conda/lib"
-ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/opt/conda/lib"
-ENV TORCH_CUDA_ARCH_LIST="6.0;7.0+PTX;7.5+PTX"
-ENV FORCE_CUDA=1
-RUN cd /usr/local/src && \
-    git clone --recursive https://github.com/pytorch/pytorch && \
-    cd pytorch && \
-    git checkout tags/v$PACKAGE_VERSION && \
-    git submodule sync && \
-    git submodule update --init --recursive --jobs 1 && \
-    python setup.py bdist_wheel
-
-# Install torch which is required before we can build other torch* packages.
-RUN pip install /usr/local/src/pytorch/dist/*.whl
-
-# Build torchaudio
-# Instructions: https://github.com/pytorch/audio#from-source
-# See comment above for PYTORCH_BUILD_VERSION.
-ENV BUILD_VERSION=$TORCHAUDIO_VERSION
-RUN sudo apt-get update && \
-    # ncurses.h is required for this install
-    sudo apt-get install libncurses-dev && \
-    # Fixing the build: https://github.com/pytorch/audio/issues/666#issuecomment-635928685
-    mamba install -c conda-forge ncurses && \
-    cd /usr/local/src && \
-    git clone https://github.com/pytorch/audio && \
-    cd audio && \
-    git checkout tags/v$TORCHAUDIO_VERSION && \
-    git submodule sync && \
-    git submodule update --init --recursive --jobs 1
-# https://github.com/pytorch/audio/issues/936#issuecomment-702990346
-RUN sed -i 's/set(envs/set(envs\n  "LIBS=-ltinfo"/' /usr/local/src/audio/third_party/sox/CMakeLists.txt 
-RUN cd /usr/local/src/audio && python setup.py bdist_wheel
-
-# Build torchvision.
-# Instructions: https://github.com/pytorch/vision/tree/main#installation
-# See comment above for PYTORCH_BUILD_VERSION.
-ENV CUDA_HOME=/usr/local/cuda
-ENV BUILD_VERSION=$TORCHVISION_VERSION
-RUN cd /usr/local/src && \
-    git clone --recursive https://github.com/pytorch/vision && \
-    cd vision && \
-    git checkout tags/v$TORCHVISION_VERSION && \
-    python setup.py bdist_wheel
-
-# Using multi-stage builds to ensure the output image is very small
-# See: https://docs.docker.com/develop/develop-images/multistage-build/
-FROM alpine:latest
-
-RUN mkdir -p /tmp/whl/
-COPY --from=builder /usr/local/src/pytorch/dist/*.whl /tmp/whl
-COPY --from=builder /usr/local/src/audio/dist/*.whl /tmp/whl
-COPY --from=builder /usr/local/src/vision/dist/*.whl /tmp/whl
-
-# Print out the built .whl file.
-RUN ls -lh /tmp/whl/

From 7b8862631e653c6117fe0b9971bf802e2ba67de0 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 30 Jan 2026 13:03:32 -0800
Subject: [PATCH 1640/1660] Slim docker image by ensuring we don't leave unused
 cache file in (#1532)

Docker layers.

We were not clearing the `uv` cache adding extra bloat to each our our
docker layer. Added more background on this here:
https://b.corp.google.com/issues/277208559#comment12

Reasoning why I preferred to use `--no-cache` rather than the
`clean-layer.sh` script:
https://b.corp.google.com/issues/277208559#comment13

Inspired by #1523.

http://b/277208559
---
 Dockerfile.tmpl | 23 +++++++++++++----------
 clean-layer.sh  |  2 --
 2 files changed, 13 insertions(+), 12 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index a7896a26..8f45f265 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -13,26 +13,26 @@ RUN cat /colab_requirements.txt >> /requirements.txt
 RUN cat /kaggle_requirements.txt >> /requirements.txt
 
 # Install Kaggle packages
-RUN uv pip install --system -r /requirements.txt
+RUN uv pip install --system --no-cache -r /requirements.txt
 
 # Install manual packages:
 # b/183041606#comment5: the Kaggle data proxy doesn't support these APIs. If the library is missing, it falls back to using a regular BigQuery query to fetch data.
-RUN uv pip uninstall --system google-cloud-bigquery-storage
+RUN uv pip uninstall --system --no-cache google-cloud-bigquery-storage
 
 # uv cannot install this in requirements.txt without --no-build-isolation
 # to avoid affecting the larger build, we'll post-install it.
-RUN uv pip install --no-build-isolation --system "git+https://github.com/Kaggle/learntools"
+RUN uv pip install --no-build-isolation --no-cache --system "git+https://github.com/Kaggle/learntools"
 
 # newer daal4py requires tbb>=2022, but libpysal is downgrading it for some reason
-RUN uv pip install --system "tbb>=2022" "libpysal==4.9.2"
+RUN uv pip install --system --no-cache "tbb>=2022" "libpysal==4.9.2"
 
 # b/404590350: Ray and torchtune have conflicting tune cli, we will prioritize torchtune.
 # b/315753846: Unpin translate package, currently conflicts with adk 1.17.0
 # b/468379293: Unpin Pandas once cuml/cudf are compatible, version 3.0 causes issues
 # b/468383498: numpy will auto-upgrade to 2.4.x, which causes issues with numerous packages
 # b/468367647: Unpin protobuf, version greater than v5.29.5 causes issues with numerous packages
-RUN uv pip install --system --force-reinstall --no-deps torchtune "google-cloud-translate==3.12.1" "numpy==2.0.2" "pandas==2.2.2"
-RUN uv pip install --system --force-reinstall "protobuf==5.29.5"
+RUN uv pip install --system --force-reinstall --no-cache --no-deps torchtune "google-cloud-translate==3.12.1" "numpy==2.0.2" "pandas==2.2.2"
+RUN uv pip install --system --force-reinstall --no-cache "protobuf==5.29.5"
 
 # Adding non-package dependencies:
 ADD clean-layer.sh  /tmp/clean-layer.sh
@@ -43,7 +43,7 @@ ARG PACKAGE_PATH=/usr/local/lib/python3.12/dist-packages
 
 # Install GPU-specific non-pip packages.
 {{ if eq .Accelerator "gpu" }}
-RUN uv pip install --system "pycuda"
+RUN uv pip install --system --no-cache "pycuda"
 {{ end }}
 
 
@@ -64,7 +64,8 @@ ADD patches/keras_internal.py \
     $PACKAGE_PATH/tensorflow_decision_forests/keras/
 
 RUN apt-get install -y libfreetype6-dev && \
-    apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing
+    apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \
+    /tmp/clean-layer.sh
 
 RUN mkdir -p /usr/share/nltk_data && \
     # NLTK Downloader no longer continues smoothly after an error, so we explicitly list
@@ -106,7 +107,8 @@ RUN mkdir -p /root/.EasyOCR/model && \
     /tmp/clean-layer.sh
 
 # Tesseract and some associated utility packages
-RUN apt-get install tesseract-ocr -y
+RUN apt-get install tesseract-ocr -y && \
+    /tmp/clean-layer.sh
 
 ENV TESSERACT_PATH=/usr/bin/tesseract \
     # For Facets, we also include an empty path to include $PWD.
@@ -124,7 +126,8 @@ RUN mkdir -p /root/.jupyter && touch /root/.jupyter/jupyter_nbconvert_config.py
 
 # install imagemagick for wand
 # https://docs.wand-py.org/en/latest/guide/install.html#install-imagemagick-on-debian-ubuntu
-RUN apt-get install libmagickwand-dev
+RUN apt-get install libmagickwand-dev && \
+    /tmp/clean-layer.sh
 
 # Override default imagemagick policies
 ADD patches/imagemagick-policy.xml /etc/ImageMagick-6/policy.xml
diff --git a/clean-layer.sh b/clean-layer.sh
index 467e1cac..9a50e7bf 100755
--- a/clean-layer.sh
+++ b/clean-layer.sh
@@ -10,8 +10,6 @@
 set -e
 set -x
 
-# Delete files that pip caches when installing a package.
-rm -rf /root/.cache/pip/*
 # Delete old downloaded archive files 
 apt-get autoremove -y
 # Delete downloaded archive files

From 42bf08df4eb8d0b28d4c9e9347373db4d85052f4 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Mon, 2 Feb 2026 08:06:44 -0800
Subject: [PATCH 1641/1660] Upgrade Colab base image (#1533)

From `20251024-060052_RC00` to `20260126-060048_RC00`.

Added justification to the diff about other changes included.

Next: Move the CPU image to use the Colab dedicated CPU base image.

http://b/331651883
---
 Dockerfile.tmpl                | 10 ++--------
 config.txt                     |  2 +-
 kaggle_requirements.txt        |  6 +++---
 tests/test_tensorflow_cloud.py |  8 --------
 tests/test_translation.py      |  9 ++++-----
 tests/test_user_secrets.py     | 16 ----------------
 6 files changed, 10 insertions(+), 41 deletions(-)
 delete mode 100644 tests/test_tensorflow_cloud.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 8f45f265..1aaeaf2d 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -23,15 +23,9 @@ RUN uv pip uninstall --system --no-cache google-cloud-bigquery-storage
 # to avoid affecting the larger build, we'll post-install it.
 RUN uv pip install --no-build-isolation --no-cache --system "git+https://github.com/Kaggle/learntools"
 
-# newer daal4py requires tbb>=2022, but libpysal is downgrading it for some reason
-RUN uv pip install --system --no-cache "tbb>=2022" "libpysal==4.9.2"
-
-# b/404590350: Ray and torchtune have conflicting tune cli, we will prioritize torchtune.
-# b/315753846: Unpin translate package, currently conflicts with adk 1.17.0
-# b/468379293: Unpin Pandas once cuml/cudf are compatible, version 3.0 causes issues
-# b/468383498: numpy will auto-upgrade to 2.4.x, which causes issues with numerous packages
+# b/404590350: Ray and torchtune have conflicting cli named `tune`. `ray` is not part of Colab's base image. Re-install `tune` to ensure the torchtune CLI is available by default.
 # b/468367647: Unpin protobuf, version greater than v5.29.5 causes issues with numerous packages
-RUN uv pip install --system --force-reinstall --no-cache --no-deps torchtune "google-cloud-translate==3.12.1" "numpy==2.0.2" "pandas==2.2.2"
+RUN uv pip install --system --force-reinstall --no-cache --no-deps torchtune
 RUN uv pip install --system --force-reinstall --no-cache "protobuf==5.29.5"
 
 # Adding non-package dependencies:
diff --git a/config.txt b/config.txt
index 9546b47a..e9c2ea30 100644
--- a/config.txt
+++ b/config.txt
@@ -1,4 +1,4 @@
 BASE_IMAGE=us-docker.pkg.dev/colab-images/public/runtime
-BASE_IMAGE_TAG=release-colab-external_20251024-060052_RC00
+BASE_IMAGE_TAG=release-colab-external_20260126-060048_RC00
 CUDA_MAJOR_VERSION=12
 CUDA_MINOR_VERSION=5
diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index 4799254b..30e0683f 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -65,8 +65,7 @@ keras-nlp
 keras-tuner
 kornia
 langid
-# b/328788268: libpysal 4.10 seems to fail with "module 'shapely' has no attribute 'Geometry'. Did you mean: 'geometry'"
-libpysal<=4.9.2
+libpysal
 lime
 line_profiler
 mamba
@@ -116,8 +115,9 @@ scikit-plot
 scikit-surprise
 git+https://github.com/facebookresearch/segment-anything.git
 squarify
-tensorflow-cloud
 tensorflow-io
+# Must be compatible with torch version: https://github.com/meta-pytorch/torchcodec?tab=readme-ov-file#installing-torchcodec
+torchcodec==0.9
 torchinfo
 torchmetrics
 torchtune
diff --git a/tests/test_tensorflow_cloud.py b/tests/test_tensorflow_cloud.py
deleted file mode 100644
index 2875e121..00000000
--- a/tests/test_tensorflow_cloud.py
+++ /dev/null
@@ -1,8 +0,0 @@
-import unittest
-
-import tensorflow_cloud as tfc
-
-
-class TestTensorflowCloud(unittest.TestCase):
-    def test_remote(self):
-        self.assertFalse(tfc.remote())
diff --git a/tests/test_translation.py b/tests/test_translation.py
index 5bb41b62..52de2a08 100644
--- a/tests/test_translation.py
+++ b/tests/test_translation.py
@@ -6,7 +6,7 @@
 from kaggle_gcp import KaggleKernelCredentials, KaggleKernelWithProjetCredentials, init_translation_v2, init_translation_v3
 from test.support.os_helper import EnvironmentVarGuard
 from google.api_core import client_options
-from google.cloud import translate, translate_v2
+from google.cloud import translate_v3 as translate, translate_v2
 
 def _make_credentials():
     import google.auth.credentials
@@ -48,7 +48,7 @@ def test_user_provided_credentials_v2(self):
             self.assertIsNotNone(client.credentials)
             self.assertNotIsInstance(client.credentials, KaggleKernelCredentials)
 
-    @patch("google.cloud.translate.TranslationServiceClient", new=FakeClient)
+    @patch("google.cloud.translate_v3.TranslationServiceClient", new=FakeClient)
     def test_default_credentials_v3(self):
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
@@ -60,7 +60,7 @@ def test_default_credentials_v3(self):
             self.assertIsInstance(client.credentials, KaggleKernelCredentials)
 
 
-    @patch("google.cloud.translate.TranslationServiceClient", new=FakeClient)
+    @patch("google.cloud.translate_v3.TranslationServiceClient", new=FakeClient)
     def test_user_provided_credentials_v3(self):
         credentials = _make_credentials()
         env = EnvironmentVarGuard()
@@ -107,13 +107,12 @@ def test_monkeypatching_idempotent(self):
             self.assertEqual(client2_1, client2_2)
             self.assertEqual(client3_1, client3_2)
 
-    @patch("google.cloud.translate.TranslationServiceClient", new=FakeClient)
+    @patch("google.cloud.translate_v3.TranslationServiceClient", new=FakeClient)
     def test_client_credential_uniqueness_v3(self):
         """
         Client instance must use unique KaggleKernelWithProjetCredentials with quota_project_id
         when client_options.quota_project_id provided. (even if quota_project_id is same)
         """
-        credentials = _make_credentials()
         env = EnvironmentVarGuard()
         env.set('KAGGLE_USER_SECRETS_TOKEN', 'foobar')
         env.set('KAGGLE_KERNEL_INTEGRATIONS', 'CLOUDAI')
diff --git a/tests/test_user_secrets.py b/tests/test_user_secrets.py
index 67c628f7..c11432fe 100644
--- a/tests/test_user_secrets.py
+++ b/tests/test_user_secrets.py
@@ -200,22 +200,6 @@ def call_get_cloudai_access_token():
             client = UserSecretsClient()
             secret_response = client._get_cloudai_access_token()
             self.assertEqual(secret_response, (secret, now + timedelta(seconds=3600)))
-        def call_get_translation_access_token():
-            client = UserSecretsClient()
-            secret_response = client._get_translation_access_token()
-            self.assertEqual(secret_response, (secret, now + timedelta(seconds=3600)))
-        def call_get_natural_lang_access_token():
-            client = UserSecretsClient()
-            secret_response = client._get_natural_language_access_token()
-            self.assertEqual(secret_response, (secret, now + timedelta(seconds=3600)))
-        def call_get_video_intell_access_token():
-            client = UserSecretsClient()
-            secret_response = client._get_video_intelligence_access_token()
-            self.assertEqual(secret_response, (secret, now + timedelta(seconds=3600)))
-        def call_get_vision_access_token():
-            client = UserSecretsClient()
-            secret_response = client._get_vision_access_token()
-            self.assertEqual(secret_response, (secret, now + timedelta(seconds=3600)))
 
         self._test_client(call_get_bigquery_access_token,
                           '/requests/GetUserSecretRequest', {'Target': GcpTarget.BIGQUERY.target},

From eb7204008d3d05708dd06d89dadb58c3aa4eb07c Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Thu, 5 Feb 2026 10:31:22 -0800
Subject: [PATCH 1642/1660] Use Colab CPU base image. (#1534)

* Remove the config.txt file. We only set the BASE_IMAGE now, move that
to the Dockerfile.tmpl for simplicity.

http://b/479244898
---
 Dockerfile.tmpl | 9 +++++----
 build           | 7 +------
 config.txt      | 4 ----
 3 files changed, 6 insertions(+), 14 deletions(-)
 delete mode 100644 config.txt

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 1aaeaf2d..9d661201 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -1,7 +1,8 @@
-ARG BASE_IMAGE \
-    BASE_IMAGE_TAG
-
-FROM ${BASE_IMAGE}:${BASE_IMAGE_TAG}
+{{ if eq .Accelerator "gpu" }}
+FROM us-docker.pkg.dev/colab-images/public/runtime:release-colab-external_20260126-060048_RC00
+{{ else }}
+FROM us-docker.pkg.dev/colab-images/public/cpu-runtime:release-colab-external_20260123-060023_RC00
+{{ end}}
 
 ADD kaggle_requirements.txt /kaggle_requirements.txt
 
diff --git a/build b/build
index 9b20f2dc..83bbe577 100755
--- a/build
+++ b/build
@@ -47,18 +47,13 @@ done
 BUILD_ARGS+=" --build-arg GIT_COMMIT=$(git rev-parse HEAD)"
 BUILD_ARGS+=" --build-arg BUILD_DATE=$(date '+%Y%m%d-%H%M%S')"
 
-# Read build args from config.txt file.
-SRCDIR=$(dirname "${BASH_SOURCE[0]}")
-for l in `cat ${SRCDIR}/config.txt`; do
-    BUILD_ARGS+=" --build-arg $l"
-done
-
 readonly CACHE_FLAG
 readonly DOCKERFILE
 readonly ACCELERATOR
 readonly IMAGE_TAG
 readonly BUILD_ARGS
 
+SRCDIR=$(dirname "${BASH_SOURCE[0]}")
 DOCKERFILE_OUTDIR="${SRCDIR}/.generated"
 mkdir -p $DOCKERFILE_OUTDIR
 DOCKERFILE_PATH="$DOCKERFILE_OUTDIR/$DOCKERFILE"
diff --git a/config.txt b/config.txt
deleted file mode 100644
index e9c2ea30..00000000
--- a/config.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-BASE_IMAGE=us-docker.pkg.dev/colab-images/public/runtime
-BASE_IMAGE_TAG=release-colab-external_20260126-060048_RC00
-CUDA_MAJOR_VERSION=12
-CUDA_MINOR_VERSION=5

From 8d207bb4aa609be3c064cc6ab184bf7c8dded802 Mon Sep 17 00:00:00 2001
From: Brandon Keiji <brandonkeiji@google.com>
Date: Tue, 3 Mar 2026 13:56:20 -0800
Subject: [PATCH 1643/1660] test: run kaggle-environments tests in jenkins
 pipeline (#1535)

BUG=b/477947477

A bit of a quick and dirty solution to the ask. It's brittle against
things like simple file moves in the `kaggle-environments` repo, but
wasn't too sure how much we really wanted to couple these two repos.
Open to alternative implementations.
---
 Jenkinsfile | 15 +++++++++++++++
 1 file changed, 15 insertions(+)

diff --git a/Jenkinsfile b/Jenkinsfile
index c4af03e6..ba067316 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -169,6 +169,21 @@ pipeline {
             }
           }
         }
+        stage('Test kaggle-environments') {
+          options {
+            timeout(time: 15, unit: 'MINUTES')
+          }
+          steps {
+            sh '''#!/bin/bash
+              set -exo pipefail
+              docker run --rm \
+                -e PYTHONUNBUFFERED=1 \
+                --pull always \
+                gcr.io/kaggle-images/python:${PRETEST_TAG} \
+                bash -c "git clone https://github.com/Kaggle/kaggle-environments.git /tmp/kaggle-environments && cd /tmp/kaggle-environments && python -m pytest tests/ kaggle_environments/ --tb=short"
+            '''
+          }
+        }
       }
     }
 

From f0aa188dc80c7908cc17a2d0c6d9d28f04ffae94 Mon Sep 17 00:00:00 2001
From: bhandarivijay-png <bhandarivijay@google.com>
Date: Fri, 6 Mar 2026 13:50:51 +0000
Subject: [PATCH 1644/1660] chore: Migrate gsutil usage to gcloud storage
 (#1536)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Automated: Migrate {target_path} from gsutil to gcloud storage

This CL is part of the on going effort to migrate from the legacy
`gsutil` tool to the new and improved `gcloud storage` command-line
interface.
`gcloud storage` is the recommended and modern tool for interacting with
Google Cloud Storage, offering better performance, unified
authentication, and a more consistent command structure with other
`gcloud` components. 🚀

### Automation Details

This change was **generated automatically** by an agent that targets
users of `gsutil`.
The transformations applied are based on the [gsutil to gcloud storage
migration guide](http://go/gsutil-gcloud-storage-migration-guide).

### ⚠️ Action Required: Please Review and Test Carefully

While we have based the automation on the migration guide, every use
case is unique.
**It is crucial that you thoroughly test these changes in environments
appropriate to your use-case before merging.**
Be aware of potential differences between `gsutil` and `gcloud storage`
that could impact your workflows.
For instance, the structure of command output may have changed,
requiring updates to any scripts that parse it. Similarly, command
behavior can differ subtly; the `gcloud storage rsync` command has a
different file deletion logic than `gsutil rsync`, which could lead to
unintended file deletions.

Our migration guides can help guide you through a list of mappings and
some notable differences between the two tools.

Standard presubmit tests are run as part of this CL's workflow. **If you
need to target an additional test workflow or require assistance with
testing, please let us know.**

Please verify that all your Cloud Storage operations continue to work as
expected to avoid any potential disruptions in production.

### Support and Collaboration

The `GCS CLI` team is here to help! If you encounter any issues, have a
complex use case that this automated change doesn't cover, or face any
other blockers, please don't hesitate to reach out.
We are happy to work with you to test and adjust these changes as
needed.

**Contact:** `gcs-cli-hyd@google.com`

We appreciate your partnership in this important migration effort!

#gsutil-migration
---
 tpu/config.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tpu/config.txt b/tpu/config.txt
index ab933ba7..7d05ccda 100644
--- a/tpu/config.txt
+++ b/tpu/config.txt
@@ -2,7 +2,7 @@ BASE_IMAGE=python:3.12
 PYTHON_WHEEL_VERSION=cp312
 PYTHON_VERSION_PATH=python3.12
 TENSORFLOW_VERSION=2.20.0
-# gsutil ls gs://pytorch-xla-releases/wheels/tpuvm/* | grep libtpu | grep torch_xla | grep -v -E ".*rc[0-9].*" | sed 's/.*torch_xla-\(.*\)+libtpu.*/\1/' | sort -rV
+# gcloud storage ls gs://pytorch-xla-releases/wheels/tpuvm/* | grep libtpu | grep torch_xla | grep -v -E ".*rc[0-9].*" | sed 's/.*torch_xla-\(.*\)+libtpu.*/\1/' | sort -rV
 # Supports nightly
 TORCH_VERSION=2.8.0
 # https://github.com/pytorch/audio supports nightly

From 3081b5b0e227a6b36b8df8b5a4e997341fb26e43 Mon Sep 17 00:00:00 2001
From: Tiffany Xiang <48542947+tifftoff@users.noreply.github.com>
Date: Mon, 16 Mar 2026 11:58:36 -0400
Subject: [PATCH 1645/1660] Add more cleanup because build is running out of
 space (#1537)

MM: https://chat.kaggle.net/kaggle/pl/g61x355wrffziqu51qor5zjm5o

Jenkins logs:
https://ci.kaggle.net/job/kernels/job/docker-python/job/main/1866/console
---
 Dockerfile.tmpl |  1 +
 clean-layer.sh  | 10 +++++++++-
 2 files changed, 10 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 9d661201..2bf2ce1a 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -44,6 +44,7 @@ RUN uv pip install --system --no-cache "pycuda"
 
 # Use a fixed apt-get repo to stop intermittent failures due to flaky httpredir connections,
 # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
+RUN /tmp/clean-layer.sh
 RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \
     apt-get update --allow-releaseinfo-change && \
     # Needed by lightGBM (GPU build)
diff --git a/clean-layer.sh b/clean-layer.sh
index 9a50e7bf..3a69c68b 100755
--- a/clean-layer.sh
+++ b/clean-layer.sh
@@ -17,4 +17,12 @@ apt-get clean
 # Ensures the current working directory won't be deleted
 cd /usr/local/src/
 # Delete source files used for building binaries
-rm -rf /usr/local/src/*
\ No newline at end of file
+rm -rf /usr/local/src/*
+
+# More clean up to save disk space
+rm -rf /var/lib/apt/lists/*
+find /tmp -mindepth 1 ! -name 'clean-layer.sh' -delete 2>/dev/null || true
+rm -rf /root/.cache
+rm -rf /var/cache/apt/archives/*
+find /usr -name '*.pyc' -delete 2>/dev/null || true
+find /usr -name '__pycache__' -type d -exec rm -rf {} + 2>/dev/null || true
\ No newline at end of file

From 28a49f11e009c22a22864b9b7c2549cfc4d05f81 Mon Sep 17 00:00:00 2001
From: Tiffany Xiang <48542947+tifftoff@users.noreply.github.com>
Date: Mon, 16 Mar 2026 12:19:15 -0400
Subject: [PATCH 1646/1660] Add more cleanup to TPU dockerfile (#1538)

https://chat.kaggle.net/kaggle/pl/ikhh6tgbziru9eyj1m58tdmk9o
---
 tpu/Dockerfile     |  4 +++-
 tpu/clean-layer.sh | 10 +++++++++-
 2 files changed, 12 insertions(+), 2 deletions(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 343443ae..484d5c6c 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -28,7 +28,9 @@ ADD patches/kaggle_datasets.py /root/.local/lib/${PYTHON_VERSION_PATH}/site-pack
 # Prereqs
 # This is needed for cv2 (opencv-python):
 # https://stackoverflow.com/questions/55313610/importerror-libgl-so-1-cannot-open-shared-object-file-no-such-file-or-directo
-RUN apt-get update && apt-get install ffmpeg libsm6 libxext6  -y
+RUN /tmp/clean-layer.sh && \
+    apt-get update && apt-get install ffmpeg libsm6 libxext6 -y && \
+    /tmp/clean-layer.sh
 
 # Install all the packages together for maximum compatibility.
 # Additional useful packages should be added in the requirements.txt
diff --git a/tpu/clean-layer.sh b/tpu/clean-layer.sh
index 467e1cac..44470925 100755
--- a/tpu/clean-layer.sh
+++ b/tpu/clean-layer.sh
@@ -19,4 +19,12 @@ apt-get clean
 # Ensures the current working directory won't be deleted
 cd /usr/local/src/
 # Delete source files used for building binaries
-rm -rf /usr/local/src/*
\ No newline at end of file
+rm -rf /usr/local/src/*
+
+# More clean up to save disk space
+rm -rf /var/lib/apt/lists/*
+find /tmp -mindepth 1 ! -name 'clean-layer.sh' -delete 2>/dev/null || true
+rm -rf /root/.cache
+rm -rf /var/cache/apt/archives/*
+find /usr -name '*.pyc' -delete 2>/dev/null || true
+find /usr -name '__pycache__' -type d -exec rm -rf {} + 2>/dev/null || true
\ No newline at end of file

From 8b18123257bb21970f2f0c07a8688d13ff8610ce Mon Sep 17 00:00:00 2001
From: Tiffany Xiang <48542947+tifftoff@users.noreply.github.com>
Date: Mon, 16 Mar 2026 12:31:16 -0400
Subject: [PATCH 1647/1660] Try --no-install-recommends (#1539)

https://chat.kaggle.net/kaggle/pl/48frudhn4trg9xighr374m1yky
---
 tpu/Dockerfile | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 484d5c6c..a648d543 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -29,7 +29,8 @@ ADD patches/kaggle_datasets.py /root/.local/lib/${PYTHON_VERSION_PATH}/site-pack
 # This is needed for cv2 (opencv-python):
 # https://stackoverflow.com/questions/55313610/importerror-libgl-so-1-cannot-open-shared-object-file-no-such-file-or-directo
 RUN /tmp/clean-layer.sh && \
-    apt-get update && apt-get install ffmpeg libsm6 libxext6 -y && \
+    apt-get update && \
+    apt-get install --no-install-recommends -y ffmpeg libsm6 libxext6 && \
     /tmp/clean-layer.sh
 
 # Install all the packages together for maximum compatibility.

From 9340e42ee546748fff22f3329ac7ba7a9fd6bcab Mon Sep 17 00:00:00 2001
From: Tiffany Xiang <tiffanyx@google.com>
Date: Mon, 16 Mar 2026 17:03:06 +0000
Subject: [PATCH 1648/1660] Install the packages needed for cv2 instead of the
 full ffmpeg binary

---
 tpu/Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index a648d543..838af64d 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -30,7 +30,7 @@ ADD patches/kaggle_datasets.py /root/.local/lib/${PYTHON_VERSION_PATH}/site-pack
 # https://stackoverflow.com/questions/55313610/importerror-libgl-so-1-cannot-open-shared-object-file-no-such-file-or-directo
 RUN /tmp/clean-layer.sh && \
     apt-get update && \
-    apt-get install --no-install-recommends -y ffmpeg libsm6 libxext6 && \
+    apt-get install --no-install-recommends -y libavcodec61 libavformat61 libswscale8 libsm6 libxext6 && \
     /tmp/clean-layer.sh
 
 # Install all the packages together for maximum compatibility.

From 42bb19d1e5548ae96012e51c7898648fc60027d7 Mon Sep 17 00:00:00 2001
From: Tiffany Xiang <48542947+tifftoff@users.noreply.github.com>
Date: Mon, 16 Mar 2026 13:58:26 -0400
Subject: [PATCH 1649/1660] Revert clean-layer changes (#1540)

https://chat.kaggle.net/kaggle/pl/4u5q7kocniyajjhrfryszgktmw
---
 Dockerfile.tmpl    |  1 -
 clean-layer.sh     | 10 +---------
 tpu/Dockerfile     |  2 +-
 tpu/clean-layer.sh | 10 +---------
 4 files changed, 3 insertions(+), 20 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 2bf2ce1a..9d661201 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -44,7 +44,6 @@ RUN uv pip install --system --no-cache "pycuda"
 
 # Use a fixed apt-get repo to stop intermittent failures due to flaky httpredir connections,
 # as described by Lionel Chan at http://stackoverflow.com/a/37426929/5881346
-RUN /tmp/clean-layer.sh
 RUN sed -i "s/httpredir.debian.org/debian.uchicago.edu/" /etc/apt/sources.list && \
     apt-get update --allow-releaseinfo-change && \
     # Needed by lightGBM (GPU build)
diff --git a/clean-layer.sh b/clean-layer.sh
index 3a69c68b..9a50e7bf 100755
--- a/clean-layer.sh
+++ b/clean-layer.sh
@@ -17,12 +17,4 @@ apt-get clean
 # Ensures the current working directory won't be deleted
 cd /usr/local/src/
 # Delete source files used for building binaries
-rm -rf /usr/local/src/*
-
-# More clean up to save disk space
-rm -rf /var/lib/apt/lists/*
-find /tmp -mindepth 1 ! -name 'clean-layer.sh' -delete 2>/dev/null || true
-rm -rf /root/.cache
-rm -rf /var/cache/apt/archives/*
-find /usr -name '*.pyc' -delete 2>/dev/null || true
-find /usr -name '__pycache__' -type d -exec rm -rf {} + 2>/dev/null || true
\ No newline at end of file
+rm -rf /usr/local/src/*
\ No newline at end of file
diff --git a/tpu/Dockerfile b/tpu/Dockerfile
index 838af64d..a648d543 100644
--- a/tpu/Dockerfile
+++ b/tpu/Dockerfile
@@ -30,7 +30,7 @@ ADD patches/kaggle_datasets.py /root/.local/lib/${PYTHON_VERSION_PATH}/site-pack
 # https://stackoverflow.com/questions/55313610/importerror-libgl-so-1-cannot-open-shared-object-file-no-such-file-or-directo
 RUN /tmp/clean-layer.sh && \
     apt-get update && \
-    apt-get install --no-install-recommends -y libavcodec61 libavformat61 libswscale8 libsm6 libxext6 && \
+    apt-get install --no-install-recommends -y ffmpeg libsm6 libxext6 && \
     /tmp/clean-layer.sh
 
 # Install all the packages together for maximum compatibility.
diff --git a/tpu/clean-layer.sh b/tpu/clean-layer.sh
index 44470925..467e1cac 100755
--- a/tpu/clean-layer.sh
+++ b/tpu/clean-layer.sh
@@ -19,12 +19,4 @@ apt-get clean
 # Ensures the current working directory won't be deleted
 cd /usr/local/src/
 # Delete source files used for building binaries
-rm -rf /usr/local/src/*
-
-# More clean up to save disk space
-rm -rf /var/lib/apt/lists/*
-find /tmp -mindepth 1 ! -name 'clean-layer.sh' -delete 2>/dev/null || true
-rm -rf /root/.cache
-rm -rf /var/cache/apt/archives/*
-find /usr -name '*.pyc' -delete 2>/dev/null || true
-find /usr -name '__pycache__' -type d -exec rm -rf {} + 2>/dev/null || true
\ No newline at end of file
+rm -rf /usr/local/src/*
\ No newline at end of file

From e788e63226cdec2cf9d98ff98bf3ec528476eb48 Mon Sep 17 00:00:00 2001
From: Tiffany Xiang <48542947+tifftoff@users.noreply.github.com>
Date: Tue, 17 Mar 2026 10:54:08 -0400
Subject: [PATCH 1650/1660] Update flax in GPU environments (#1541)

b/493548400

https://www.kaggle.com/discussions/product-feedback/680483
---
 kaggle_requirements.txt | 1 +
 1 file changed, 1 insertion(+)

diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index 30e0683f..2dc2b04e 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -29,6 +29,7 @@ emoji
 fasttext
 featuretools
 fiona
+flax
 fury
 fuzzywuzzy
 geojson

From 346058dd4ad97c41e366fae323b6d1c0ed7c6491 Mon Sep 17 00:00:00 2001
From: Tiffany Xiang <48542947+tifftoff@users.noreply.github.com>
Date: Tue, 17 Mar 2026 14:03:34 -0400
Subject: [PATCH 1651/1660] Upgrade colab base image to 20260226-060109 (#1542)

Users complaining about outdated CUDA
(https://admin.kaggle.com/competitions/nvidia-nemotron-model-reasoning-challenge/discussion/681820#3422400)

b/493600019
---
 Dockerfile.tmpl | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 9d661201..5a87424f 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -1,7 +1,7 @@
 {{ if eq .Accelerator "gpu" }}
-FROM us-docker.pkg.dev/colab-images/public/runtime:release-colab-external_20260126-060048_RC00
+FROM us-docker.pkg.dev/colab-images/public/runtime:release-colab-external_20260226-060109_RC00
 {{ else }}
-FROM us-docker.pkg.dev/colab-images/public/cpu-runtime:release-colab-external_20260123-060023_RC00
+FROM us-docker.pkg.dev/colab-images/public/cpu-runtime:release-colab-external_20260226-060109_RC00
 {{ end}}
 
 ADD kaggle_requirements.txt /kaggle_requirements.txt

From ccaff016ebf5a1e0d9b1438647aacce8620a5ee1 Mon Sep 17 00:00:00 2001
From: Tiffany Xiang <48542947+tifftoff@users.noreply.github.com>
Date: Wed, 18 Mar 2026 15:42:23 -0400
Subject: [PATCH 1652/1660] Upgrade torchcodec to 0.10.0 (#1543)

The new colab base image has 0.10.0, as opposed to 0.9.

b/493600019
---
 kaggle_requirements.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index 2dc2b04e..531a6a48 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -118,7 +118,7 @@ git+https://github.com/facebookresearch/segment-anything.git
 squarify
 tensorflow-io
 # Must be compatible with torch version: https://github.com/meta-pytorch/torchcodec?tab=readme-ov-file#installing-torchcodec
-torchcodec==0.9
+torchcodec==0.10.0
 torchinfo
 torchmetrics
 torchtune

From 82c5c43ffc1082a9813b21a1284ddb6619930594 Mon Sep 17 00:00:00 2001
From: Tiffany Xiang <48542947+tifftoff@users.noreply.github.com>
Date: Thu, 19 Mar 2026 15:27:44 -0400
Subject: [PATCH 1653/1660] Mark pytorch tests as p100 exempt (#1544)

Newer version of pytorch is needed for rtx pros / cuda sm_120, but now
it no longer works on P100s / cuda sm_60

https://chat.kaggle.net/kaggle/pl/mxgoz3gscf853gez3yhmhpw6hr
---
 tests/test_fastai.py            | 3 +++
 tests/test_pytorch.py           | 5 ++++-
 tests/test_pytorch_lightning.py | 3 +++
 3 files changed, 10 insertions(+), 1 deletion(-)

diff --git a/tests/test_fastai.py b/tests/test_fastai.py
index 33a436a5..497af048 100644
--- a/tests/test_fastai.py
+++ b/tests/test_fastai.py
@@ -3,6 +3,8 @@
 import fastai
 from fastai.tabular.all import *
 
+from common import p100_exempt
+
 
 class TestFastAI(unittest.TestCase):
   # Basic import
@@ -22,6 +24,7 @@ def test_torch_tensor(self):
 
     self.assertTrue(torch.all(a == b))
 
+  @p100_exempt
   def test_tabular(self):
     dls = TabularDataLoaders.from_csv(
         "/input/tests/data/train.csv",
diff --git a/tests/test_pytorch.py b/tests/test_pytorch.py
index befa6f7e..31b008d5 100644
--- a/tests/test_pytorch.py
+++ b/tests/test_pytorch.py
@@ -4,7 +4,7 @@
 import torch.nn as tnn
 import torch.autograd as autograd
 
-from common import gpu_test
+from common import gpu_test, p100_exempt
 
 
 class TestPyTorch(unittest.TestCase):
@@ -16,6 +16,7 @@ def test_nn(self):
         linear_torch(data_torch)
 
     @gpu_test
+    @p100_exempt
     def test_linalg(self):
         A = torch.randn(3, 3).t().to('cuda')
         B = torch.randn(3).t().to('cuda')
@@ -24,6 +25,7 @@ def test_linalg(self):
         self.assertEqual(3, result.shape[0])
 
     @gpu_test
+    @p100_exempt
     def test_gpu_computation(self):
         cuda = torch.device('cuda')  
         a = torch.tensor([1., 2.], device=cuda)
@@ -33,6 +35,7 @@ def test_gpu_computation(self):
         self.assertEqual(torch.tensor([3.], device=cuda), result)
 
     @gpu_test
+    @p100_exempt
     def test_cuda_nn(self):
         # These throw if cuda is misconfigured
         tnn.GRUCell(10,10).cuda()
diff --git a/tests/test_pytorch_lightning.py b/tests/test_pytorch_lightning.py
index 24992e5f..feead123 100644
--- a/tests/test_pytorch_lightning.py
+++ b/tests/test_pytorch_lightning.py
@@ -5,6 +5,8 @@
 import torch.nn.functional as F
 from torch.utils.data import DataLoader, TensorDataset
 
+from common import p100_exempt
+
 
 class LitDataModule(pl.LightningDataModule):
 
@@ -59,6 +61,7 @@ class TestPytorchLightning(unittest.TestCase):
     def test_version(self):
         self.assertIsNotNone(pl.__version__)
 
+    @p100_exempt
     def test_mnist(self):
         dm = LitDataModule()
         model = LitClassifier()

From c292018b280631cbfe6f4f16fc6a84f2786b5f86 Mon Sep 17 00:00:00 2001
From: Tiffany Xiang <48542947+tifftoff@users.noreply.github.com>
Date: Thu, 19 Mar 2026 17:15:59 -0400
Subject: [PATCH 1654/1660] Set LD_LIBRARY_PATH and ldconfig (#1545)

Needed for PyTorch

b/485275559
---
 Dockerfile.tmpl | 9 +++++++--
 1 file changed, 7 insertions(+), 2 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 5a87424f..bd78ebf3 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -158,7 +158,12 @@ ENV GIT_COMMIT=${GIT_COMMIT} \
 RUN echo "$GIT_COMMIT" > /etc/git_commit && echo "$BUILD_DATE" > /etc/build_date
 
 {{ if eq .Accelerator "gpu" }}
-# Add the CUDA home.
-ENV CUDA_HOME=/usr/local/cuda
+# Add the CUDA home and ensure NVIDIA driver libs (mounted by the NVIDIA Container
+# Toolkit at runtime into /usr/local/nvidia/lib64) are on the library path.
+ENV CUDA_HOME=/usr/local/cuda \
+    LD_LIBRARY_PATH=/usr/local/nvidia/lib64:/usr/local/cuda/lib64:${LD_LIBRARY_PATH}
+# Register the NVIDIA driver lib path with the dynamic linker so libraries can
+# be found even without LD_LIBRARY_PATH being set.
+RUN echo '/usr/local/nvidia/lib64' > /etc/ld.so.conf.d/nvidia-driver.conf && ldconfig 2>/dev/null || true
 {{ end }}
 ENTRYPOINT ["/usr/bin/env"]

From d6a167ab53d1177dd5973bf4819052dc7f2a1342 Mon Sep 17 00:00:00 2001
From: stevemessick <stevemessick@users.noreply.github.com>
Date: Mon, 27 Apr 2026 18:22:21 +0000
Subject: [PATCH 1655/1660] Upgrade colab base image to 20260416-060047 (#1547)

Upgrade both GPU (runtime) and CPU (cpu-runtime) Colab base images to
the latest available release:

- GPU: `release-colab-external-images_20260416-060047_RC00`
- CPU: `release-colab-external-images_20260416-060047_RC00`

Previously using `release-colab-external_20260226-060109_RC00`.

Note: The tag naming convention has changed from
`release-colab-external_*` to `release-colab-external-images_*`.

b/493600019
---
 Dockerfile.tmpl         |  6 ++++--
 kaggle_requirements.txt |  2 --
 tests/test_sklearnex.py | 12 ------------
 3 files changed, 4 insertions(+), 16 deletions(-)
 delete mode 100644 tests/test_sklearnex.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index bd78ebf3..b8d14d10 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -1,7 +1,7 @@
 {{ if eq .Accelerator "gpu" }}
-FROM us-docker.pkg.dev/colab-images/public/runtime:release-colab-external_20260226-060109_RC00
+FROM us-docker.pkg.dev/colab-images/public/runtime:release-colab-external-images_20260416-060047_RC00
 {{ else }}
-FROM us-docker.pkg.dev/colab-images/public/cpu-runtime:release-colab-external_20260226-060109_RC00
+FROM us-docker.pkg.dev/colab-images/public/cpu-runtime:release-colab-external-images_20260416-060047_RC00
 {{ end}}
 
 ADD kaggle_requirements.txt /kaggle_requirements.txt
@@ -28,6 +28,8 @@ RUN uv pip install --no-build-isolation --no-cache --system "git+https://github.
 # b/468367647: Unpin protobuf, version greater than v5.29.5 causes issues with numerous packages
 RUN uv pip install --system --force-reinstall --no-cache --no-deps torchtune
 RUN uv pip install --system --force-reinstall --no-cache "protobuf==5.29.5"
+# b/493600019: Colab base image ships numba/numba-cuda that do not support NumPy 2.4; upgrade both.
+RUN uv pip install --system --force-reinstall --no-cache numba numba-cuda
 
 # Adding non-package dependencies:
 ADD clean-layer.sh  /tmp/clean-layer.sh
diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index 531a6a48..18b5fbdd 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -108,8 +108,6 @@ ray
 rgf-python
 s3fs
 scikit-learn
-# Scikit-learn accelerated library for x86
-scikit-learn-intelex>=2023.0.1
 scikit-multilearn
 scikit-optimize
 scikit-plot
diff --git a/tests/test_sklearnex.py b/tests/test_sklearnex.py
deleted file mode 100644
index 5809570a..00000000
--- a/tests/test_sklearnex.py
+++ /dev/null
@@ -1,12 +0,0 @@
-import unittest
-
-import numpy as np
-
-class TestSklearnex(unittest.TestCase):
-    def test_dbscan(self):
-        from sklearnex.cluster import DBSCAN
-        X = np.array([[1., 2.], [2., 2.], [2., 3.],
-            [8., 7.], [8., 8.], [25., 80.]], dtype=np.float32)
-
-        clustering = DBSCAN(eps=3, min_samples=2).fit(X)
-        np.testing.assert_array_equal(np.array([0, 0, 0, 1, 1, -1]), clustering.labels_)
\ No newline at end of file

From 1c8da1707e2a695fb937bc636df58f7dcff1d373 Mon Sep 17 00:00:00 2001
From: stevemessick <stevemessick@users.noreply.github.com>
Date: Thu, 30 Apr 2026 17:29:49 +0000
Subject: [PATCH 1656/1660] Fix numba-cuda CPU import crash after base image
 upgrade (#1548)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

## Problem

After merging #1547 (Colab base image upgrade), the main branch CI is
failing on the **Test CPU Image** stage (build #1924). The upgraded
`numba-cuda` v0.30.0 now depends on `cuda-bindings` which requires
`libcudart.so` at import time — this crashes on the CPU image where no
CUDA runtime is installed.

Two tests fail:
- `test_numba` — `from numba import cuda` at module level triggers the
crash
- `test_tsfresh` — `tsfresh` → `stumpy` → `from numba import cuda` →
same crash

```
cuda.pathfinder._dynamic_libs.load_dl_common.DynamicLibNotFoundError:
Failure finding "libcudart.so": No such file: libcudart.so*
```

## Fix

### Dockerfile.tmpl
- Keep `numba` upgrade for both CPU and GPU images (needed for NumPy
2.4)
- Move `numba-cuda` install into the GPU-only section (`{{ if eq
.Accelerator "gpu" }}`)

### test_numba.py
- Move `from numba import cuda` from module-level into the `@gpu_test`
method (lazy import)

### test_tsfresh.py
- Guard the `tsfresh` import with try/except and skip the test if it
fails on CPU

b/485275559
---
 Dockerfile.tmpl       | 11 +++++++++--
 tests/test_numba.py   |  4 +++-
 tests/test_tsfresh.py |  2 --
 3 files changed, 12 insertions(+), 5 deletions(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index b8d14d10..86c5426f 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -28,8 +28,8 @@ RUN uv pip install --no-build-isolation --no-cache --system "git+https://github.
 # b/468367647: Unpin protobuf, version greater than v5.29.5 causes issues with numerous packages
 RUN uv pip install --system --force-reinstall --no-cache --no-deps torchtune
 RUN uv pip install --system --force-reinstall --no-cache "protobuf==5.29.5"
-# b/493600019: Colab base image ships numba/numba-cuda that do not support NumPy 2.4; upgrade both.
-RUN uv pip install --system --force-reinstall --no-cache numba numba-cuda
+# b/493600019: Colab base image ships numba that does not support NumPy 2.4; upgrade to latest.
+RUN uv pip install --system --force-reinstall --no-cache numba
 
 # Adding non-package dependencies:
 ADD clean-layer.sh  /tmp/clean-layer.sh
@@ -40,7 +40,14 @@ ARG PACKAGE_PATH=/usr/local/lib/python3.12/dist-packages
 
 # Install GPU-specific non-pip packages.
 {{ if eq .Accelerator "gpu" }}
+# b/493600019: numba-cuda v0.30.0 fixes np.trapz removal in NumPy 2.4 but requires libcudart.so (GPU only).
+RUN uv pip install --system --force-reinstall --no-cache numba-cuda
 RUN uv pip install --system --no-cache "pycuda"
+{{ else }}
+# b/493600019: On CPU, remove numba-cuda shipped by the Colab base image. Newer numba-cuda
+# depends on cuda-bindings which crashes at import without libcudart.so. Packages like
+# tsfresh/stumpy that import numba.cuda will fall back gracefully without it.
+RUN uv pip uninstall --system numba-cuda 2>/dev/null || true
 {{ end }}
 
 
diff --git a/tests/test_numba.py b/tests/test_numba.py
index 1b77ee3e..16127ee3 100644
--- a/tests/test_numba.py
+++ b/tests/test_numba.py
@@ -1,7 +1,7 @@
 import unittest
 
 import numpy as np
-from numba import jit, cuda
+from numba import jit
 
 from common import gpu_test
 
@@ -20,6 +20,8 @@ def go_fast(a): # Function is compiled to machine code when called the first tim
 
     @gpu_test
     def test_cuda_jit(self):
+        from numba import cuda
+
         x = np.arange(10)
 
         @cuda.jit
diff --git a/tests/test_tsfresh.py b/tests/test_tsfresh.py
index b9d6a92f..55da5ca6 100644
--- a/tests/test_tsfresh.py
+++ b/tests/test_tsfresh.py
@@ -14,5 +14,3 @@ def test_extract_feature(self):
         })
         extracted_features = extract_features(ts, column_id='id', column_sort='time', n_jobs=1)
         self.assertEqual(2, len(extracted_features))
-
-

From 9aa84ad60f05e207506ca92cf19b4b16b3f9f108 Mon Sep 17 00:00:00 2001
From: Vincent Roseberry <rosbo@google.com>
Date: Fri, 22 May 2026 14:53:47 -0700
Subject: [PATCH 1657/1660] Fix kornia test failure (#1549)

kornia.utils.image_to_tensor is deprecated and not lazy loaded anymore.
Using the new location instead.

http://b/515825952
---
 tests/test_kornia.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/test_kornia.py b/tests/test_kornia.py
index dd41d16d..1108d9d7 100644
--- a/tests/test_kornia.py
+++ b/tests/test_kornia.py
@@ -7,7 +7,7 @@
 class TestKornia(unittest.TestCase):
     def test_imread_opencv(self):
         img = cv2.imread('/input/tests/data/dot.png')
-        img_t = kornia.utils.image_to_tensor(img)
+        img_t = kornia.image.image_to_tensor(img)
 
         self.assertEqual(img.shape, (1, 1, 3))
         self.assertEqual(img_t.shape, (3, 1, 1))

From 8cc47ea271dcca9b2198e3cca2aae812220ccdc5 Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Mon, 22 Jun 2026 13:57:36 -0700
Subject: [PATCH 1658/1660] Bump base image to 20260416-060047_RC00 (#1551)

yeah also note this will also remove tf decision forrest , since it is
not compatible with tf 2.20
Tf doc mentions users should switch over to ydf, which is in this image.
so we are okay to drop
---
 Dockerfile.tmpl                           | 13 ++-----------
 tests/test_tensorflow_decision_forests.py | 18 ------------------
 2 files changed, 2 insertions(+), 29 deletions(-)
 delete mode 100644 tests/test_tensorflow_decision_forests.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 86c5426f..d9d38935 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -1,7 +1,7 @@
 {{ if eq .Accelerator "gpu" }}
-FROM us-docker.pkg.dev/colab-images/public/runtime:release-colab-external-images_20260416-060047_RC00
+FROM us-docker.pkg.dev/colab-images/public/runtime:release-colab-external-images_20260514-060047_RC00
 {{ else }}
-FROM us-docker.pkg.dev/colab-images/public/cpu-runtime:release-colab-external-images_20260416-060047_RC00
+FROM us-docker.pkg.dev/colab-images/public/cpu-runtime:release-colab-external-images_20260514-060047_RC00
 {{ end}}
 
 ADD kaggle_requirements.txt /kaggle_requirements.txt
@@ -28,8 +28,6 @@ RUN uv pip install --no-build-isolation --no-cache --system "git+https://github.
 # b/468367647: Unpin protobuf, version greater than v5.29.5 causes issues with numerous packages
 RUN uv pip install --system --force-reinstall --no-cache --no-deps torchtune
 RUN uv pip install --system --force-reinstall --no-cache "protobuf==5.29.5"
-# b/493600019: Colab base image ships numba that does not support NumPy 2.4; upgrade to latest.
-RUN uv pip install --system --force-reinstall --no-cache numba
 
 # Adding non-package dependencies:
 ADD clean-layer.sh  /tmp/clean-layer.sh
@@ -40,14 +38,7 @@ ARG PACKAGE_PATH=/usr/local/lib/python3.12/dist-packages
 
 # Install GPU-specific non-pip packages.
 {{ if eq .Accelerator "gpu" }}
-# b/493600019: numba-cuda v0.30.0 fixes np.trapz removal in NumPy 2.4 but requires libcudart.so (GPU only).
-RUN uv pip install --system --force-reinstall --no-cache numba-cuda
 RUN uv pip install --system --no-cache "pycuda"
-{{ else }}
-# b/493600019: On CPU, remove numba-cuda shipped by the Colab base image. Newer numba-cuda
-# depends on cuda-bindings which crashes at import without libcudart.so. Packages like
-# tsfresh/stumpy that import numba.cuda will fall back gracefully without it.
-RUN uv pip uninstall --system numba-cuda 2>/dev/null || true
 {{ end }}
 
 
diff --git a/tests/test_tensorflow_decision_forests.py b/tests/test_tensorflow_decision_forests.py
deleted file mode 100644
index aeeb2e7d..00000000
--- a/tests/test_tensorflow_decision_forests.py
+++ /dev/null
@@ -1,18 +0,0 @@
-import unittest
-
-import numpy as np
-import pandas as pd
-import tensorflow_decision_forests as tfdf
-
-class TestTensorflowDecisionForest(unittest.TestCase):
-    def test_fit(self):
-        train_df = pd.read_csv("/input/tests/data/train.csv")
-
-        # Convert the dataset into a TensorFlow dataset.
-        train_ds = tfdf.keras.pd_dataframe_to_tf_dataset(train_df, label="label")
-        
-        # Train the model
-        model = tfdf.keras.RandomForestModel(num_trees=1)
-        model.fit(train_ds)
-
-        self.assertEqual(1, model.count_params())
\ No newline at end of file

From fc912b01115dc263729b361b5226d20a2647169e Mon Sep 17 00:00:00 2001
From: Sohier Dane <sohier@google.com>
Date: Wed, 24 Jun 2026 15:30:23 -0700
Subject: [PATCH 1659/1660] Add grpcio-tools (#1552)

Add a dependency on `grpcio-tools` so we can recompile proto stubs in
real time for kaggle_evaluation. It's a small library (<3 MB) and for my
purposes the exact version doesn't much matter so I'm hoping this isn't
a controversial addition. We do have alternatives if this addition isn't
feasible but they're much more invasive, most likely migrating from gRPC
to HTTP.
---
 Dockerfile.tmpl            |  3 +-
 tests/test_grpcio_tools.py | 60 ++++++++++++++++++++++++++++++++++++++
 2 files changed, 62 insertions(+), 1 deletion(-)
 create mode 100644 tests/test_grpcio_tools.py

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index d9d38935..472e7434 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -26,8 +26,9 @@ RUN uv pip install --no-build-isolation --no-cache --system "git+https://github.
 
 # b/404590350: Ray and torchtune have conflicting cli named `tune`. `ray` is not part of Colab's base image. Re-install `tune` to ensure the torchtune CLI is available by default.
 # b/468367647: Unpin protobuf, version greater than v5.29.5 causes issues with numerous packages
+# grpcio-tools must be installed here (not in kaggle_requirements.txt) to stay version-compatible with protobuf.
 RUN uv pip install --system --force-reinstall --no-cache --no-deps torchtune
-RUN uv pip install --system --force-reinstall --no-cache "protobuf==5.29.5"
+RUN uv pip install --system --force-reinstall --no-cache "protobuf==5.29.5" "grpcio-tools>=1.60.0"
 
 # Adding non-package dependencies:
 ADD clean-layer.sh  /tmp/clean-layer.sh
diff --git a/tests/test_grpcio_tools.py b/tests/test_grpcio_tools.py
new file mode 100644
index 00000000..cc0c6418
--- /dev/null
+++ b/tests/test_grpcio_tools.py
@@ -0,0 +1,60 @@
+import os
+import subprocess
+import sys
+import tempfile
+import unittest
+
+PROTO_CONTENT = """\
+syntax = "proto3";
+
+package smoketest;
+
+message PingRequest {
+  string message = 1;
+}
+
+message PingReply {
+  string message = 1;
+}
+
+service PingService {
+  rpc Ping (PingRequest) returns (PingReply);
+}
+"""
+
+
+class TestGrpcioTools(unittest.TestCase):
+    def test_compile_proto(self):
+        with tempfile.TemporaryDirectory() as tmpdir:
+            proto_path = os.path.join(tmpdir, "ping.proto")
+            with open(proto_path, "w") as f:
+                f.write(PROTO_CONTENT)
+
+            subprocess.check_call(
+                [
+                    sys.executable,
+                    "-m",
+                    "grpc_tools.protoc",
+                    f"--proto_path={tmpdir}",
+                    f"--python_out={tmpdir}",
+                    f"--grpc_python_out={tmpdir}",
+                    f"--pyi_out={tmpdir}",
+                    "ping.proto",
+                ]
+            )
+
+            pb2_path = os.path.join(tmpdir, "ping_pb2.py")
+            pb2_grpc_path = os.path.join(tmpdir, "ping_pb2_grpc.py")
+            pyi_path = os.path.join(tmpdir, "ping_pb2.pyi")
+            self.assertTrue(os.path.exists(pb2_path))
+            self.assertTrue(os.path.exists(pb2_grpc_path))
+            self.assertTrue(os.path.exists(pyi_path))
+
+            sys.path.insert(0, tmpdir)
+            import ping_pb2
+            import ping_pb2_grpc
+
+            req = ping_pb2.PingRequest(message="hello")
+            self.assertEqual(req.message, "hello")
+            self.assertTrue(hasattr(ping_pb2_grpc, "PingServiceStub"))
+            self.assertTrue(hasattr(ping_pb2_grpc, "PingServiceServicer"))

From fc61d5cda7da39530055bae9bd0e92865f995cd9 Mon Sep 17 00:00:00 2001
From: Johnny Chavez <64660690+calderjo@users.noreply.github.com>
Date: Mon, 29 Jun 2026 00:14:24 -0700
Subject: [PATCH 1660/1660] fix: pin setuptools version to avoid compatibility
 issues (#1554)

---
 Dockerfile.tmpl | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/Dockerfile.tmpl b/Dockerfile.tmpl
index 472e7434..a5e5df79 100644
--- a/Dockerfile.tmpl
+++ b/Dockerfile.tmpl
@@ -27,8 +27,9 @@ RUN uv pip install --no-build-isolation --no-cache --system "git+https://github.
 # b/404590350: Ray and torchtune have conflicting cli named `tune`. `ray` is not part of Colab's base image. Re-install `tune` to ensure the torchtune CLI is available by default.
 # b/468367647: Unpin protobuf, version greater than v5.29.5 causes issues with numerous packages
 # grpcio-tools must be installed here (not in kaggle_requirements.txt) to stay version-compatible with protobuf.
+# setuptools v82+ removed pkg_resources
 RUN uv pip install --system --force-reinstall --no-cache --no-deps torchtune
-RUN uv pip install --system --force-reinstall --no-cache "protobuf==5.29.5" "grpcio-tools>=1.60.0"
+RUN uv pip install --system --force-reinstall --no-cache "protobuf==5.29.5" "grpcio-tools>=1.60.0" "setuptools>=70.0,<82"
 
 # Adding non-package dependencies:
 ADD clean-layer.sh  /tmp/clean-layer.sh