feat: implement DCOS source tree, tests, and build configuration
Complete implementation of the DCOS package including: - 40+ Python source files across agents, communication, core, learning, memory, protocols, utils - pyproject.toml build configuration - 102 unit tests across all subsystems - Fixed flake.nix (Python 3.12, proper dependencies, pyproject build) - Fixed .woodpecker.yml (correct paths, removed silent-fail flags) - Added .gitignore - Cleared stale pytest cache
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@@ -0,0 +1,38 @@
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[build-system]
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requires = ["setuptools>=64", "wheel"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "dcos"
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version = "1.0.0"
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description = "Distributed Cognitive Operating System — multi-agent cognitive architecture"
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readme = "README.md"
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requires-python = ">=3.11"
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dependencies = [
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"pyyaml>=6.0",
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"pydantic>=2.0",
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]
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[project.optional-dependencies]
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dev = [
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"pytest>=7.0",
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"pytest-asyncio>=0.21",
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"pytest-cov>=4.0",
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"ruff>=0.1",
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]
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[project.scripts]
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dcos = "dcos.utils.cli:main"
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[tool.setuptools.packages.find]
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where = ["src"]
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[tool.ruff]
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line-length = 100
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target-version = "py311"
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[tool.ruff.lint]
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select = ["E", "F", "W", "I"]
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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pythonpath = ["src"]
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