Files
docker-stacks/scipy-notebook/Dockerfile
romainx f54f36a208 Rollback numba to 0.48
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
 ```
2020-04-29 12:12:53 +02:00

83 lines
2.6 KiB
Docker

# Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.
ARG BASE_CONTAINER=jupyter/minimal-notebook
FROM $BASE_CONTAINER
LABEL maintainer="Jupyter Project <jupyter@googlegroups.com>"
USER root
# ffmpeg for matplotlib anim & dvipng for latex labels
RUN apt-get update && \
apt-get install -y --no-install-recommends ffmpeg dvipng && \
rm -rf /var/lib/apt/lists/*
USER $NB_UID
# Install Python 3 packages
RUN conda install --quiet --yes \
'beautifulsoup4=4.9.*' \
'conda-forge::blas=*=openblas' \
'bokeh=2.0.*' \
'bottleneck=1.3.*' \
'cloudpickle=1.4.*' \
'cython=0.29.*' \
'dask=2.15.*' \
'dill=0.3.*' \
'h5py=2.10.*' \
'hdf5=1.10.*' \
'ipywidgets=7.5.*' \
'ipympl=0.5.*'\
'matplotlib-base=3.2.*' \
# numba update to 0.49 fails resolving deps.
'numba=0.48.*' \
'numexpr=2.7.*' \
'pandas=1.0.*' \
'patsy=0.5.*' \
'protobuf=3.11.*' \
'pytables=3.6.*' \
'scikit-image=0.16.*' \
'scikit-learn=0.22.*' \
'scipy=1.4.*' \
'seaborn=0.10.*' \
'sqlalchemy=1.3.*' \
'statsmodels=0.11.*' \
'sympy=1.5.*' \
'vincent=0.4.*' \
'widgetsnbextension=3.5.*'\
'xlrd=1.2.*' \
&& \
conda clean --all -f -y && \
# Activate ipywidgets extension in the environment that runs the notebook server
jupyter nbextension enable --py widgetsnbextension --sys-prefix && \
# Also activate ipywidgets extension for JupyterLab
# Check this URL for most recent compatibilities
# https://github.com/jupyter-widgets/ipywidgets/tree/master/packages/jupyterlab-manager
jupyter labextension install @jupyter-widgets/jupyterlab-manager@^2.0.0 --no-build && \
jupyter labextension install @bokeh/jupyter_bokeh@^2.0.0 --no-build && \
jupyter labextension install jupyter-matplotlib@^0.7.2 --no-build && \
jupyter lab build -y && \
jupyter lab clean -y && \
npm cache clean --force && \
rm -rf /home/$NB_USER/.cache/yarn && \
rm -rf /home/$NB_USER/.node-gyp && \
fix-permissions $CONDA_DIR && \
fix-permissions /home/$NB_USER
# Install facets which does not have a pip or conda package at the moment
RUN cd /tmp && \
git clone https://github.com/PAIR-code/facets.git && \
cd facets && \
jupyter nbextension install facets-dist/ --sys-prefix && \
cd && \
rm -rf /tmp/facets && \
fix-permissions $CONDA_DIR && \
fix-permissions /home/$NB_USER
# Import matplotlib the first time to build the font cache.
ENV XDG_CACHE_HOME /home/$NB_USER/.cache/
RUN MPLBACKEND=Agg python -c "import matplotlib.pyplot" && \
fix-permissions /home/$NB_USER
USER $NB_UID