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Dependencies resolution fails with numba `0.49`. I do not know the root cause. Here is the difference between the two versions. ```bash $ conda search --info numba numba 0.48.0 py38hb3f55d8_0 --------------------------- file name : numba-0.48.0-py38hb3f55d8_0.tar.bz2 name : numba version : 0.48.0 build : py38hb3f55d8_0 build number: 0 size : 3.4 MB license : BSD 2-clause subdir : linux-64 url : https://conda.anaconda.org/conda-forge/linux-64/numba-0.48.0-py38hb3f55d8_0.tar.bz2 md5 : 580c5132d9f575462db40daf20201ff1 timestamp : 2020-01-27 17:39:57 UTC constraints : - tbb >=2018.0.5 - python_abi * *_cp38 dependencies: - libgcc-ng >=7.3.0 - libstdcxx-ng >=7.3.0 - llvmlite >=0.31.0,<0.32.0a0 - numpy >=1.14.6,<2.0a0 - python >=3.8,<3.9.0a0 - setuptools numba 0.49.0 py36h0573a6f_0 --------------------------- file name : numba-0.49.0-py36h0573a6f_0.conda name : numba version : 0.49.0 build : py36h0573a6f_0 build number: 0 size : 3.1 MB license : BSD 2-clause subdir : linux-64 url : https://repo.anaconda.com/pkgs/main/linux-64/numba-0.49.0-py36h0573a6f_0.conda md5 : cdbf81e0d643b5e90441ccf110b97a3d timestamp : 2020-04-17 17:08:20 UTC constraints : - tbb >=2018.0.5 dependencies: - libgcc-ng >=7.3.0 - libstdcxx-ng >=7.3.0 - llvmlite >=0.32.0 - llvmlite >=0.32.0,<0.33.0a0 - numpy >=1.14.6,<2.0a0 - python >=3.6,<3.7.0a0 - setuptools - tbb >=2020.0 ```
83 lines
2.6 KiB
Docker
83 lines
2.6 KiB
Docker
# Copyright (c) Jupyter Development Team.
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# Distributed under the terms of the Modified BSD License.
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ARG BASE_CONTAINER=jupyter/minimal-notebook
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FROM $BASE_CONTAINER
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LABEL maintainer="Jupyter Project <jupyter@googlegroups.com>"
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USER root
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# ffmpeg for matplotlib anim & dvipng for latex labels
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RUN apt-get update && \
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apt-get install -y --no-install-recommends ffmpeg dvipng && \
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rm -rf /var/lib/apt/lists/*
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USER $NB_UID
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# Install Python 3 packages
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RUN conda install --quiet --yes \
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'beautifulsoup4=4.9.*' \
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'conda-forge::blas=*=openblas' \
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'bokeh=2.0.*' \
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'bottleneck=1.3.*' \
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'cloudpickle=1.4.*' \
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'cython=0.29.*' \
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'dask=2.15.*' \
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'dill=0.3.*' \
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'h5py=2.10.*' \
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'hdf5=1.10.*' \
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'ipywidgets=7.5.*' \
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'ipympl=0.5.*'\
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'matplotlib-base=3.2.*' \
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# numba update to 0.49 fails resolving deps.
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'numba=0.48.*' \
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'numexpr=2.7.*' \
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'pandas=1.0.*' \
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'patsy=0.5.*' \
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'protobuf=3.11.*' \
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'pytables=3.6.*' \
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'scikit-image=0.16.*' \
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'scikit-learn=0.22.*' \
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'scipy=1.4.*' \
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'seaborn=0.10.*' \
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'sqlalchemy=1.3.*' \
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'statsmodels=0.11.*' \
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'sympy=1.5.*' \
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'vincent=0.4.*' \
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'widgetsnbextension=3.5.*'\
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'xlrd=1.2.*' \
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&& \
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conda clean --all -f -y && \
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# Activate ipywidgets extension in the environment that runs the notebook server
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jupyter nbextension enable --py widgetsnbextension --sys-prefix && \
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# Also activate ipywidgets extension for JupyterLab
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# Check this URL for most recent compatibilities
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# https://github.com/jupyter-widgets/ipywidgets/tree/master/packages/jupyterlab-manager
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jupyter labextension install @jupyter-widgets/jupyterlab-manager@^2.0.0 --no-build && \
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jupyter labextension install @bokeh/jupyter_bokeh@^2.0.0 --no-build && \
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jupyter labextension install jupyter-matplotlib@^0.7.2 --no-build && \
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jupyter lab build -y && \
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jupyter lab clean -y && \
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npm cache clean --force && \
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rm -rf /home/$NB_USER/.cache/yarn && \
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rm -rf /home/$NB_USER/.node-gyp && \
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fix-permissions $CONDA_DIR && \
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fix-permissions /home/$NB_USER
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# Install facets which does not have a pip or conda package at the moment
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RUN cd /tmp && \
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git clone https://github.com/PAIR-code/facets.git && \
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cd facets && \
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jupyter nbextension install facets-dist/ --sys-prefix && \
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cd && \
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rm -rf /tmp/facets && \
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fix-permissions $CONDA_DIR && \
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fix-permissions /home/$NB_USER
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# Import matplotlib the first time to build the font cache.
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ENV XDG_CACHE_HOME /home/$NB_USER/.cache/
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RUN MPLBACKEND=Agg python -c "import matplotlib.pyplot" && \
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fix-permissions /home/$NB_USER
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USER $NB_UID
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