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Author SHA1 Message Date
Roy Zheng 359ca084d8 chore: CCIE-4284 pin gabrielfalcao/pyenv-action@v9 to latest sha 2025-03-21 12:50:19 -07:00
3 changed files with 7 additions and 13 deletions
+3 -8
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@@ -7,10 +7,6 @@ on:
branches:
- main
# For debug - uncomment below to run on all PRs
pull_request:
branches: "*"
env:
JEST_ENV: prod
@@ -32,14 +28,13 @@ jobs:
strategy:
fail-fast: false
matrix:
# note: The `macos-latest` is latest Catalina version, and not Big Sur. So we explicitly ask for Big Sur (`macos-11`)
os: [ubuntu-latest, macos-latest, macos-13]
python-version: ["3.10", "3.11"]
python-version: ["3.10", "3.11", "3.12"]
cellxgene_build: [main, latest]
# add anndata pinned version test for subset of matrix configurations,
# in order to reduce matrix cross-product explosion
include:
- python-version: 3.11
- python-version: 3.12
cellxgene_build: latest
# TODO: dynamically use the literal version in requirements.txt,
# to avoid having to update this in manually in the future
@@ -100,7 +95,7 @@ jobs:
# keep same pip pkg versions as in the cxg release
sed -i'' -e 's/-r requirements.txt//' server/requirements-dev.txt
pip install -r server/requirements-dev.txt
pip install --force-reinstall numpy==2.0.1 numba>=0.60.0 pandas
pip install --force-reinstall numpy==2.0.1 numba>=0.60.0 pandas flatbuffers==2.0.7
- name: Install anndata version per matrix variable
run: pip install anndata${{ matrix.anndata_version }}
- name: Install node
+1 -1
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@@ -47,7 +47,7 @@ jobs:
steps:
- uses: actions/checkout@v4
- name: Set up Python 3.12 (pyenv) # pyenv needed for mlflow in cli annotate tests
uses: gabrielfalcao/pyenv-action@v9
uses: gabrielfalcao/pyenv-action@a1fc55906be92612782934c70e3985b940bd0165
with:
default: 3.12
command: pip install -U pip # upgrade pip after installing python
+3 -4
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@@ -1,4 +1,4 @@
![](https://github.com/chanzuckerberg/cellxgene/raw/main/docs/cellxgene-logo.png)
<img src="./docs/cellxgene-logo.png" width="300">
_an interactive explorer for single-cell transcriptomics data_
@@ -11,8 +11,7 @@ CZ CELLxGENE Annotate (pronounced "cell-by-gene") is an interactive data explore
Whether you need to visualize one thousand cells or one million, CELLxGENE Annotate helps you gain insight into your single-cell data.
![](https://github.com/chanzuckerberg/cellxgene/raw/main/docs/images/crossfilter.gif)
![](https://github.com/chanzuckerberg/cellxgene/raw/main/docs/images/category-breakdown.gif)
<img src="https://github.com/chanzuckerberg/cellxgene/raw/main/docs/images/crossfilter.gif" width="350" height="200" hspace="30"><img src="https://github.com/chanzuckerberg/cellxgene/raw/main/docs/images/category-breakdown.gif" width="350" height="200" hspace="30">
# Getting started
@@ -28,7 +27,7 @@ Whether you need to visualize one thousand cells or one million, CELLxGENE Annot
### Quick start
_To install CELLxGENE Annotate you need Python 3.10+_. We recommend [installing Annotate into a conda or virtual environment.](https://github.com/chanzuckerberg/cellxgene-documentation/blob/main/desktop/install.md)
To install CELLxGENE Annotate you need Python 3.10+. We recommend [installing Annotate into a conda or virtual environment.](https://github.com/chanzuckerberg/cellxgene-documentation/blob/main/desktop/install.md)
Install the package.