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06792d930f
As it appears that `defaults` has added `blas` without a feature, the `conda` solver appears to be prioritizing the removal of features over channel priority. As a result, we leverage `MatchSpec` here to pin the `blas` package to `conda-forge` and the `openblas` feature. This should be respected by `conda` and thus avoid switching to the incompatible `blas` package from `defaults`.
75 lines
2.3 KiB
Docker
75 lines
2.3 KiB
Docker
# Copyright (c) Jupyter Development Team.
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# Distributed under the terms of the Modified BSD License.
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FROM jupyter/minimal-notebook
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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
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RUN apt-get update && \
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apt-get install -y --no-install-recommends ffmpeg && \
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apt-get clean && \
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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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# Remove pyqt and qt pulled in for matplotlib since we're only ever going to
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# use notebook-friendly backends in these images
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RUN conda install --quiet --yes \
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'conda-forge::blas=*=openblas' \
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'ipywidgets=7.2*' \
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'pandas=0.22*' \
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'numexpr=2.6*' \
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'matplotlib=2.1*' \
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'scipy=1.0*' \
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'seaborn=0.8*' \
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'scikit-learn=0.19*' \
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'scikit-image=0.13*' \
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'sympy=1.1*' \
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'cython=0.28*' \
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'patsy=0.5*' \
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'statsmodels=0.8*' \
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'cloudpickle=0.5*' \
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'dill=0.2*' \
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'numba=0.38*' \
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'bokeh=0.12*' \
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'sqlalchemy=1.2*' \
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'hdf5=1.10*' \
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'h5py=2.7*' \
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'vincent=0.4.*' \
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'beautifulsoup4=4.6.*' \
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'protobuf=3.*' \
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'xlrd' && \
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conda remove --quiet --yes --force qt pyqt && \
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conda clean -tipsy && \
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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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jupyter labextension install @jupyter-widgets/jupyterlab-manager@^0.35 && \
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jupyter labextension install jupyterlab_bokeh@^0.5.0 && \
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npm cache clean --force && \
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rm -rf $CONDA_DIR/share/jupyter/lab/staging && \
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rm -rf /home/$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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