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 continuumio/anaconda3:${BASE_TAG}

ADD clean-layer.sh /tmp/clean-layer.sh

ADD patches/nbconvert-extensions.tpl /opt/kaggle/nbconvert-extensions.tpl

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 && \

apt-get update && apt-get install -y build-essential unzip cmake && \

# Nodejs installed in the base image is not the latest

curl -sL https://deb.nodesource.com/setup_12.x | bash && \

apt-get install nodejs -yq && \

# 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 && \

# Upgrade npm to latest version

npm install -g npm && \

/tmp/clean-layer.sh

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 && \

# The apt-get version of imagemagick is out of date and has compatibility issues, so we build from source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

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 && \

apt-get install -y libglib2.0-0 libxext6 libsm6 libxrender1 libfontconfig1 --fix-missing && \

pip install gensim && \

pip install textblob && \

pip install wordcloud && \

conda install -y -c conda-forge python-igraph && \

pip install xgboost && \

pip install lightgbm && \

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 && \

# 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 && \

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 && \

# 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 hep_ml && \

# 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

# "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 \

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 && \

pip install --upgrade scikit-image && \

/tmp/clean-layer.sh

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 && \

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 && \

# MXNet

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 (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"` && \

/tmp/clean-layer.sh

ENV PROJ_LIB=/opt/conda/share/proj

RUN pip install scipy && \

pip install scikit-learn && \

# HDF5 support

pip install h5py && \

pip install biopython && \

# 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 && \

pip install smhasher && \

pip install bokeh && \

pip install numba && \

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 && \

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

RUN apt-get install -y libgl1-mesa-glx && \

pip install vtk && \

# xvfbwrapper with dependencies

apt-get install -y xvfb && \

pip install xvfbwrapper && \

/tmp/clean-layer.sh

RUN pip install mpld3 && \

pip install mplleaflet && \

pip install gpxpy && \

pip install arrow && \

pip install nilearn && \

pip install nibabel && \

pip install pronouncing && \

pip install markovify && \

pip install rf_perm_feat_import && \

pip install imgaug && \

pip install preprocessing && \

pip install Baker && \

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 && \

pip install deap && \

pip install tpot && \

pip install scikit-optimize && \

pip install haversine && \

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 && \

pip install fitter && \

pip install langid && \

# Delorean. Useful for dealing with datetime

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 && \

pip install s2sphere && \

pip install git+https://github.com/fmfn/BayesianOptimization.git && \

pip install matplotlib-venn && \

pip install pyldavis && \

pip install mlxtend && \

pip install altair && \

pip install pystan && \

pip install ImageHash && \

pip install ecos && \

pip install CVXcanon && \

pip install fancyimpute && \

pip install git+https://github.com/pymc-devs/pymc3 && \

pip install tifffile && \

pip install spectral && \

pip install descartes && \

pip install geojson && \

pip install pysal && \

pip install pyflux && \

pip install terminalplot && \

pip install raccoon && \

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 && \

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 hypertools && \

pip install py_stringsimjoin && \

pip install speedml && \

pip install nibabel && \

pip install mlens && \

pip install scikit-multilearn && \

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 paramnb && \

pip install folium && \

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 git+https://github.com/dvaida/hallucinate.git && \

pip install scikit-surprise && \

pip install pymongo && \

pip install edward && \

pip install geoplot && \

pip install eli5 && \

pip install implicit && \

pip install dask-ml[xgboost] && \

/tmp/clean-layer.sh

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 tensorpack && \

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 glmnet_py && \

pip install lime && \

pip install memory_profiler && \

/tmp/clean-layer.sh

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 && \

# 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.

pip install google-cloud-bigquery==1.12.1 && \

pip install google-cloud-storage && \

pip install ortools && \

pip install scattertext && \

# Pandas data reader

pip install pandas-datareader && \

pip install pykoko && \

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 && \

pip install sklearn-contrib-lightning && \

# 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

RUN pip install bcolz && \

pip install bleach && \

pip install certifi && \

pip install cycler && \

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 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 mistune && \

pip install nbconvert && \

pip install nbformat && \

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 && \

pip install pickleshare && \

pip install Pillow && \

pip install ptyprocess && \

pip install Pygments && \

pip install pyparsing && \

pip install pytz && \

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 && \

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 torchtext && \

/tmp/clean-layer.sh

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 && \

/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 pip install flashtext && \

pip install wandb && \

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 keras-tqdm && \

pip install git+https://github.com/Kaggle/learntools && \

pip install kmapper && \

pip install shap && \

pip install ray && \

pip install gym && \

pip install tensorforce && \

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 && \

pip install ggplot && \

# 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 && \

pip install pytext-nlp && \

pip install tsfresh && \

pip install pymagnitude && \

pip install pykalman && \

pip install optuna && \

pip install chainercv && \

pip install chainer-chemistry && \

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 && \

apt-get -y install libspatialindex-dev && \

pip install pytorch-ignite && \

pip install qgrid && \

pip install bqplot && \

pip install earthengine-api && \

pip install transformers && \

/tmp/clean-layer.sh

RUN apt-get install tesseract-ocr -y && \

pip install pytesseract && \

pip install wand==0.5.3 && \

pip install pdf2image && \

pip install PyPDF && \

pip install pyocr && \

/tmp/clean-layer.sh

ENV TESSERACT_PATH=/usr/bin/tesseract

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

ENV PYTHONPATH=$PYTHONPATH:/opt/facets/facets_overview/python/

ENV MKL_THREADING_LAYER=GNU

# 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 && \

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 && \

/tmp/clean-layer.sh

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

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

ENV MPLBACKEND "agg"

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

RUN echo "$GIT_COMMIT" > /etc/git_commit && echo "$BUILD_DATE" > /etc/build_date