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Fixes to compatibility tests (#1205)
* Unpin anndata ver in tests against anndata master * Add branch config to work on push * Add links to tests in GitHub Actions status badges * Remove temporary branch name
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@@ -3,6 +3,9 @@ name: Compatibility Tests
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on:
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on:
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schedule:
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schedule:
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- cron: '0 8 7 * 2'
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- cron: '0 8 7 * 2'
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push:
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branches:
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- master
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env:
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env:
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JEST_ENV: prod
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JEST_ENV: prod
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@@ -95,7 +98,10 @@ jobs:
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path: anndata
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path: anndata
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- name: Install dependencies
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- name: Install dependencies
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run: |
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run: |
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cd cellxgene && make pydist install-dist dev-env
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cd cellxgene
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cd ../anndata && pip install -e .
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sed -i.bu -E 's/^anndata[>=]=[0-9]+.[0-9]+.[0-9]+$/anndata/g' server/requirements.txt
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make pydist install-dist dev-env
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cd ../anndata
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pip install -e .
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- name: Tests
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- name: Tests
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run: cd cellxgene && make unit-test ${{ matrix.test-suite }}
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run: cd cellxgene && make unit-test ${{ matrix.test-suite }}
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@@ -3,8 +3,8 @@
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_an interactive explorer for single-cell transcriptomics data_
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_an interactive explorer for single-cell transcriptomics data_
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[](https://zenodo.org/badge/latestdoi/105615409) [](https://pypi.org/project/cellxgene/) [](https://pypistats.org/packages/cellxgene) [](https://github.com/chanzuckerberg/cellxgene/pulse)
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[](https://zenodo.org/badge/latestdoi/105615409) [](https://pypi.org/project/cellxgene/) [](https://pypistats.org/packages/cellxgene) [](https://github.com/chanzuckerberg/cellxgene/pulse)
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[](https://github.com/chanzuckerberg/cellxgene/actions?query=workflow%3A%22Push+Tests%22)
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[](https://github.com/chanzuckerberg/cellxgene/actions?query=workflow%3A%22Compatibility+Tests%22)
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cellxgene (pronounced "cell-by-gene") is an interactive data explorer for single-cell transcriptomics datasets, such as those coming from the [Human Cell Atlas](https://humancellatlas.org). Leveraging modern web development techniques to enable fast visualizations of at least 1 million cells, we hope to enable biologists and computational researchers to explore their data.
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cellxgene (pronounced "cell-by-gene") is an interactive data explorer for single-cell transcriptomics datasets, such as those coming from the [Human Cell Atlas](https://humancellatlas.org). Leveraging modern web development techniques to enable fast visualizations of at least 1 million cells, we hope to enable biologists and computational researchers to explore their data.
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