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9f99d54 verified | [build-system] | |
| requires = ["hatchling>=1.27"] | |
| build-backend = "hatchling.build" | |
| [project] | |
| name = "emft" | |
| version = "0.1.0" | |
| description = "Do factor premia travel? Out-of-sample machine-learning factor timing in emerging-market equities." | |
| readme = "README.md" | |
| requires-python = ">=3.11" | |
| license = { text = "MIT" } | |
| authors = [{ name = "Yang Xiao" }] | |
| dependencies = [ | |
| "matplotlib>=3.8", | |
| "numpy>=1.26", | |
| # Shared monorepo package, pinned by commit so this project installs standalone; | |
| # inside the monorepo, uv uses the workspace copy (root tool.uv.sources). | |
| "oeq-core @ git+https://github.com/YangXiaoShawn/open-economic-quant@3d309b7e90ca7b970bb5396d3bb781c92de4ea7e#subdirectory=packages/oeq-core", | |
| "pandas>=2.1", | |
| "pyyaml>=6.0", | |
| "scikit-learn>=1.4", | |
| "scipy>=1.11", | |
| ] | |
| [project.optional-dependencies] | |
| dev = ["pytest>=8", "ruff>=0.8"] | |
| [project.scripts] | |
| emft = "emft.cli:main" | |
| [tool.hatch.metadata] | |
| allow-direct-references = true | |
| [tool.hatch.build.targets.wheel] | |
| packages = ["src/emft"] | |
| [tool.pytest.ini_options] | |
| testpaths = ["tests"] | |
| pythonpath = ["src"] | |