mirror of
https://github.com/jung-geun/PSO.git
synced 2026-09-20 14:11:48 +09:00
jung-geun
813433000a
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
42 lines
942 B
YAML
42 lines
942 B
YAML
name: Python package test
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on:
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push:
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paths:
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- "pso/**"
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- "pyproject.toml"
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- "uv.lock"
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- ".python-version"
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- "README.md"
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- "tests/**"
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- ".github/workflows/python-package.yml"
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pull_request:
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paths:
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- "pso/**"
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- "pyproject.toml"
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- "uv.lock"
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- ".python-version"
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- "README.md"
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- "tests/**"
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- ".github/workflows/python-package.yml"
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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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