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‎.github/workflows/lint.yaml‎

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name: Lint
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on:
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pull_request:
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branches:
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- main
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permissions:
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contents: read
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jobs:
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lint:
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concurrency:
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group: lint-${{ github.event_name == 'push' && github.run_number || github.ref }}
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cancel-in-progress: true
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runs-on: ubuntu-latest
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steps:
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- name: Checkout
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uses: actions/checkout@v3
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- name: Setup Python
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uses: actions/setup-python@v4
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with:
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python-version: "3.11"
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- name: Install dependencies
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run: pip install .[lint]
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- name: Show versions
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run: pip freeze
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- name: Run pre-commit
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uses: pre-commit/action@v3.0.0
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with:
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extra_args: --verbose --all-files

‎.github/workflows/process_results.yaml‎

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name: Process ASV Results
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on:
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# pull_request:
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# branches:
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# - main
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schedule:
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- cron: "20 3 * * *"
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workflow_dispatch:
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env:
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# Results and other data are stored away from the main branch.
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# This keeps the main branch clean and allows us to clear out
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# objects / history after being built up for long periods of time.
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BRANCH_NAME: pandas_2026_01_04
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PYTHON_VERSION: 3.12
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permissions:
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contents: read
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jobs:
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process-results:
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name: Process ASV Results
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runs-on: ubuntu-24.04
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defaults:
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run:
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shell: bash -el {0}
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permissions:
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contents: write
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issues: write
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steps:
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- name: Checkout pandas
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uses: actions/checkout@v4
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with:
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repository: pandas-dev/pandas
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fetch-depth: 0
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- name: Checkout asv-runner results branch
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uses: actions/checkout@v4
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with:
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ref: "${{ env.BRANCH_NAME }}"
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path: asv-runner/
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- name: Setup Python
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uses: actions/setup-python@v4
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with:
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python-version: "${{ env.PYTHON_VERSION }}"
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- name: Install environment dependencies
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run: pip install -U pip uv
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- name: Install job dependencies
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run: uv pip install --system asv pandas pyarrow
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- name: Show environment packages
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run: uv pip freeze
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- name: Copy results directory
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run: |
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cp -r asv-runner/data/results asv_bench/results
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- name: Publish ASV Benchmarks
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run: cd asv_bench && asv publish
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- name: Process ASV results
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run: |
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python asv-runner/ci/process_results.py --input-path=asv_bench/ --output-path=asv-runner/data
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rm -rf asv-runner/docs
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mv asv_bench/html/ asv-runner/docs
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- name: Make issues for new regressions
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run: python asv-runner/ci/make_issues.py --input-path=asv-runner/data
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env:
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GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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- name: Update asv-runner branch
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# In case there was a push by another job.
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run: |
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cd asv-runner
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git fetch && git pull --rebase
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- name: Commit results to branch
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uses: stefanzweifel/git-auto-commit-action@v5
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with:
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commit_message: Results
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branch: ${{ env.BRANCH_NAME }}
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repository: asv-runner
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file_pattern: 'data/results.parquet docs/'

‎.github/workflows/run_asvs.yaml‎

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name: Run ASV
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on:
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# pull_request:
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# branches:
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# - main
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schedule:
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- cron: "20 * * * *"
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workflow_dispatch:
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env:
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ENV_FILE: environment.yml
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PANDAS_CI: 1
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# Results and other data are stored away from the main branch.
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# This keeps the main branch clean and allows us to clear out
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# objects / history after being built up for long periods of time.
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BRANCH_NAME: pandas_2026_01_04
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permissions:
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contents: read
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jobs:
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asv:
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name: Run ASVs
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runs-on: ubuntu-24.04
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defaults:
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run:
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shell: bash -el {0}
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permissions:
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contents: write
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issues: write
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outputs:
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new_commit: ${{ steps.get-commit.outputs.new_commit }}
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steps:
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# In order to run pandas' actions, we have to checkout into the root directory.
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- name: Checkout pandas
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uses: actions/checkout@v4
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with:
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repository: pandas-dev/pandas
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fetch-depth: 0
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- name: Checkout asv-runner results branch
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uses: actions/checkout@v4
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with:
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ref: ${{ env.BRANCH_NAME }}
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path: asv-runner/
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- name: Set up Conda
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uses: ./.github/actions/setup-conda
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- name: Get Commit
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id: get-commit
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run: |
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sha="$(python asv-runner/ci/find_commit_to_run.py --input-path=asv-runner/data/ --repo-path=.)"
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echo "sha: $sha"
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if [ "$sha" = "NONE" ]; then
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echo "new_commit=no"
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echo "new_commit=no" >> "$GITHUB_OUTPUT"
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else
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echo "new_commit=yes"
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echo "new_commit=yes" >> "$GITHUB_OUTPUT"
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echo "$sha" >> asv-runner/data/shas.txt
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git checkout $sha
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fi
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# Prevent another job from kicking off and running on this commit
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- name: Commit shas.txt
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if: ${{ steps.get-commit.outputs.new_commit == 'yes' }}
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uses: stefanzweifel/git-auto-commit-action@v5
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with:
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commit_message: Update shas.txt
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branch: ${{ env.BRANCH_NAME }}
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repository: asv-runner
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file_pattern: 'data/shas.txt'
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- name: Build pandas
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if: ${{ steps.get-commit.outputs.new_commit == 'yes' }}
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uses: ./.github/actions/build_pandas
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- name: Run ASV Benchmarks
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if: ${{ steps.get-commit.outputs.new_commit == 'yes' }}
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run: |
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cd asv_bench
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asv machine --machine=asvrunner --yes
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asv run --machine=asvrunner --python=same --set-commit-hash=$(git rev-parse HEAD) --show-stderr
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- name: Update asv-runner branch
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# In case there was a push by another job.
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if: ${{ steps.get-commit.outputs.new_commit == 'yes' }}
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run: |
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cd asv-runner
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git fetch && git pull
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- name: Move results into asv-runner
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if: ${{ steps.get-commit.outputs.new_commit == 'yes' }}
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run: |
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mkdir -p asv-runner/data/results/asvrunner/
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cp asv_bench/results/benchmarks.json asv-runner/data/results/
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cp asv_bench/results/asvrunner/machine.json asv-runner/data/results/asvrunner/
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cp asv_bench/results/asvrunner/$(git rev-parse --short=8 HEAD)-existing*.json asv-runner/data/results/asvrunner/$(git rev-parse HEAD).json
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mkdir -p asv-runner/data/envs/
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conda env export > asv-runner/data/envs/$(git rev-parse HEAD).yml
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- name: Commit results to branch
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if: ${{ steps.get-commit.outputs.new_commit == 'yes' }}
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uses: stefanzweifel/git-auto-commit-action@v5
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with:
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commit_message: Results
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branch: ${{ env.BRANCH_NAME }}
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repository: asv-runner
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file_pattern: 'data/results/ data/envs/'

‎.gitignore‎

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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/latest/usage/project/#working-with-version-control
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.pdm.toml
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.pdm-python
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.pdm-build/
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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.idea/

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