Use hypothesis (#5759)
* Use hypothesis * Allow int64 array interface for groups * Add packages to Windows CI * Add to travis * Make sure device index is set correctly * Fix dask-cudf test * appveyor
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@@ -22,7 +22,7 @@ ENV GOSU_VERSION 1.10
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# Install Python packages in default env
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RUN \
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pip install pyyaml cpplint pylint astroid sphinx numpy scipy pandas matplotlib sh \
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recommonmark guzzle_sphinx_theme mock breathe graphviz \
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recommonmark guzzle_sphinx_theme mock breathe graphviz hypothesis\
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pytest scikit-learn wheel kubernetes urllib3 jsonschema boto3 && \
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pip install https://h2o-release.s3.amazonaws.com/datatable/stable/datatable-0.7.0/datatable-0.7.0-cp37-cp37m-linux_x86_64.whl && \
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pip install "dask[complete]"
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@@ -19,7 +19,7 @@ ENV PATH=/opt/python/bin:$PATH
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RUN \
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conda create -n cudf_test -c rapidsai -c nvidia -c conda-forge -c defaults \
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python=3.7 cudf cudatoolkit=$CUDA_VERSION dask dask-cuda dask-cudf cupy \
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numpy pytest scipy scikit-learn pandas matplotlib wheel python-kubernetes urllib3 graphviz
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numpy pytest scipy scikit-learn pandas matplotlib wheel python-kubernetes urllib3 graphviz hypothesis
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ENV GOSU_VERSION 1.10
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@@ -18,7 +18,7 @@ ENV PATH=/opt/python/bin:$PATH
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RUN \
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conda create -n gpu_test -c rapidsai -c nvidia -c conda-forge -c defaults \
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python=3.7 dask dask-cuda numpy pytest scipy scikit-learn pandas \
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matplotlib wheel python-kubernetes urllib3 graphviz
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matplotlib wheel python-kubernetes urllib3 graphviz hypothesis
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ENV GOSU_VERSION 1.10
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