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Merge pull request #9 from effigies/enh/23.1.0-1
ENH: Upgrade to miniconda 23.1.0-1, update dependencies
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@@ -53,8 +53,8 @@ ENV LANG="en_US.UTF-8" \
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# Leave these args here to better use the Docker build cache
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# miniconda index: https://conda.io/en/latest/miniconda_hashes.html
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ENV CONDA_PATH="/opt/conda"
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ARG CONDA_VERSION=py39_4.12.0
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ARG SHA256SUM=78f39f9bae971ec1ae7969f0516017f2413f17796670f7040725dd83fcff5689
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ARG CONDA_VERSION=py39_23.1.0-1
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ARG SHA256SUM=5dc619babc1d19d6688617966251a38d245cb93d69066ccde9a013e1ebb5bf18
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RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-${CONDA_VERSION}-Linux-x86_64.sh -O miniconda.sh && \
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echo "${SHA256SUM} miniconda.sh" > miniconda.sha256 && \
@@ -78,50 +78,50 @@ COPY condarc /root/.condarc
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RUN ${CONDA_PATH}/bin/conda install mamba -n base && \
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mamba install -y \
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attrs=21.4 \
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attrs=22.2 \
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codecov=2.1 \
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colorclass=2.2 \
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coverage=6.3 \
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curl=7.83 \
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datalad=0.16 \
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curl=7.88 \
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datalad=0.18 \
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dipy=1.5 \
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flake8=4.0 \
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git=2.35 \
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git=2.39 \
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graphviz=3.0 \
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h5py=3.6 \
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indexed_gzip=1.6 \
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h5py=3.8 \
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indexed_gzip=1.7 \
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jinja2=3.1 \
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libxml2=2.9 \
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libxml2=2.10 \
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libxslt=1.1 \
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lockfile=0.12 \
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matplotlib=3.5 \
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mkl=2022.1 \
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mkl-service=2.4 \
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nibabel=3.2 \
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nibabel=4.0 \
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nilearn=0.9 \
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nipype=1.8 \
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nitime=0.9 \
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nodejs=16 \
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numpy=1.22 \
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packaging=21.3 \
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pandas=1.4 \
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pandoc=2.18 \
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pbr=5.9 \
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pip=22.0 \
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nodejs=18 \
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numpy=1.24 \
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packaging=23.0 \
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pandas=1.5 \
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pandoc=2.19 \
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pbr=5.11 \
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pip=23.0 \
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pockets=0.9 \
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psutil=5.9 \
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pydot=1.4 \
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pytest=7.1 \
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pytest-cov=3.0 \
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pytest-env=0.6 \
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pytest-xdist=2.5 \
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pytest=7.2 \
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pytest-cov=4.0 \
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pytest-env=0.8 \
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pytest-xdist=3.2 \
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pyyaml=6.0 \
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requests=2.27 \
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requests=2.28 \
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scikit-image=0.19 \
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scikit-learn=1.1 \
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scipy=1.8 \
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seaborn=0.11 \
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setuptools=62.3 \
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scikit-learn=1.2 \
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scipy=1.10 \
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seaborn=0.12 \
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setuptools=65 \
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sphinx=4.5 \
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sphinx_rtd_theme=1.0 \
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svgutils=0.3 \

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