Chunked writing of h5py.Dataset and zarr.Array #2061
Workflow file for this run
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name: Benchmark | |
on: | |
push: | |
branches: [main, "[0-9]+.[0-9]+.x"] | |
pull_request: | |
branches: [main] | |
jobs: | |
benchmark: | |
runs-on: ${{ matrix.os }} | |
defaults: | |
run: | |
shell: bash -el {0} # -e to fail on error, -l for mamba | |
strategy: | |
fail-fast: false | |
matrix: | |
python: ["3.12"] | |
os: [ubuntu-latest] | |
env: | |
OS: ${{ matrix.os }} | |
PYTHON: ${{ matrix.python }} | |
ASV_DIR: "./benchmarks" | |
steps: | |
- uses: actions/checkout@v2 | |
with: | |
fetch-depth: 0 | |
- run: git fetch origin main:main | |
if: ${{ github.ref_name != 'main' }} | |
# Errors on main branch | |
- uses: mamba-org/setup-micromamba@v1 | |
with: | |
environment-name: asv | |
cache-environment: true | |
create-args: >- | |
python=3.11 | |
asv | |
mamba | |
packaging | |
- name: Cache datasets | |
uses: actions/cache@v3 | |
with: | |
path: | | |
~/.cache | |
key: benchmark-state-${{ hashFiles('benchmarks/**') }} | |
- name: Quick benchmark run | |
working-directory: ${{ env.ASV_DIR }} | |
run: | | |
asv machine --yes | |
asv run --quick --show-stderr --verbose |