mirror of
https://github.com/jung-geun/PSO.git
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Migrate the package and examples to the tensor-native PyTorch implementation, add benchmark evidence, and add the guarded post-training convergence protocol with TensorBoard progress monitoring and hash-verified recovery. Constraint: Preserve one-shot official-test sealing and auditable research artifacts Rejected: Commit local .omc runs and downloaded datasets | multi-gigabyte runtime state is machine-local Confidence: high Scope-risk: broad Not-tested: Production CUDA run on pieroot-server
56 lines
1.4 KiB
YAML
56 lines
1.4 KiB
YAML
name: Publish to PyPI
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on:
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push:
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tags:
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- "v*"
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permissions:
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contents: read
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jobs:
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test:
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runs-on: ubuntu-22.04
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strategy:
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matrix:
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python-version: ["3.10", "3.11"]
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steps:
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- uses: actions/checkout@v4
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- name: Install uv and Python ${{ matrix.python-version }}
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uses: astral-sh/setup-uv@v9
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with:
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version: "0.12.7"
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python-version: ${{ matrix.python-version }}
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enable-cache: true
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- name: Sync dependencies
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run: uv sync --locked --group dev
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- name: Run tests
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run: uv run --no-sync pytest -q
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- name: Build package
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run: uv build
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- name: Check package distribution
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run: uv run --no-sync twine check dist/*
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publish:
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needs: test
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runs-on: ubuntu-22.04
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steps:
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- uses: actions/checkout@v4
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- name: Install uv and Python 3.11
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uses: astral-sh/setup-uv@v9
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with:
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version: "0.12.7"
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python-version: "3.11"
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enable-cache: true
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- name: Sync dependencies
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run: uv sync --locked --group dev
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- name: Build package
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run: uv build
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- name: Check package distribution
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run: uv run --no-sync twine check dist/*
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- name: Publish package to PyPI
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uses: pypa/gh-action-pypa-publish@release/v1
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with:
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password: ${{ secrets.PYPI_TOKEN }}
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