55 lines
1.5 KiB
TOML
55 lines
1.5 KiB
TOML
[project]
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name = "mcm26b"
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version = "0.2.0"
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description = "CUMCM 2026 B题：无线电干扰源的快速自动定位与清除（协议基线、几何内核与策略骨架）"
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readme = "README.md"
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requires-python = ">=3.10"
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dependencies = [
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"requests>=2.31",
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]
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[dependency-groups]
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dev = [
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"optuna>=5.0.0",
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"pytest>=8",
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# 独立评测机（自建模拟器）：仅测试侧依赖，运行时代码零导入（懒加载 + 守卫测试）
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"mcm26b-referee",
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]
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rl = [
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"gymnasium>=1.1",
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"sb3-contrib==2.9.0",
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"stable-baselines3>=2.6",
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"torch==2.11.0",
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]
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# uv 工作区：referee/ 是独立包（零第三方依赖、不依赖 mcm26b），双方仅通过 HTTP 协议耦合
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[tool.uv.workspace]
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members = ["referee"]
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# RL 训练使用 CUDA 12.8 版 PyTorch（本机 RTX 4060；运行时依赖保持轻量）。
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[[tool.uv.index]]
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name = "pytorch-cu128"
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url = "https://download.pytorch.org/whl/cu128"
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explicit = true
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[tool.uv.sources]
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mcm26b-referee = { workspace = true }
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# CUDA 12.8 版 PyTorch 仅限 Windows/Linux（RTX 4060 训练机）；
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# macOS (Apple Silicon, MPS) 回落到 PyPI 官方轮子。
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torch = [
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{ index = "pytorch-cu128", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
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]
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.hatch.build.targets.wheel]
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packages = ["src/mcm26b"]
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[project.scripts]
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mcm26b = "mcm26b.cli:main"
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[tool.pytest.ini_options]
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testpaths = ["tests", "referee/tests"]
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