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Extract jtor shape function into a class #53

Extract jtor shape function into a class

Extract jtor shape function into a class #53

Workflow file for this run

# Run the asv benchmarks on this PR, comparing to the base commit
# Cribbed from scikit-image:
# https://github.com/scikit-image/scikit-image/blob/main/.github/workflows/benchmarks.yml
name: Benchmarks
on: pull_request
jobs:
benchmark:
runs-on: ubuntu-latest
env:
ASV_DIR: "./asv_bench"
steps:
# We need the full repo
- uses: actions/checkout@v3
with:
fetch-depth: 0
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: "3.x"
- name: Install dependencies
run: |
sudo apt-get install libhdf5-serial-dev
python -m pip install --upgrade pip setuptools wheel
python -m pip install asv virtualenv
- name: Run benchmarks
env:
ASV_FACTOR: 1.5
working-directory: ${{ env.ASV_DIR }}
run: |
# ID of this machine
asv machine --yes
echo "Baseline: ${{ github.event.pull_request.base.sha }} (${{ github.event.pull_request.base.label }})"
echo "Contender: ${GITHUB_SHA} (${{ github.event.pull_request.head.label }})"
# Run benchmarks for current commit against base
ASV_OPTIONS="--split --show-stderr --factor $ASV_FACTOR"
asv continuous $ASV_OPTIONS ${{ github.event.pull_request.base.sha }} ${GITHUB_SHA} \
| sed "/Traceback \|failed$\|PERFORMANCE DECREASED/ s/^/::error::/" \
| tee benchmarks.log
# Report and export results for subsequent steps
asv compare --split --factor $ASV_FACTOR ${{ github.event.pull_request.base.sha }} ${GITHUB_SHA}
if grep "Traceback \|failed\|PERFORMANCE DECREASED" benchmarks.log > /dev/null ; then
exit 1
fi
- name: Add instructions to artifact
if: always()
run: cp benchmarks.log .asv/results/
working-directory: ${{ env.ASV_DIR }}
- uses: actions/upload-artifact@v3
if: always()
with:
name: asv-benchmark-results-${{ runner.os }}
path: ${{ env.ASV_DIR }}/.asv/results