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b/pyproject.toml |
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[build-system] |
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requires = ["setuptools >= 69.0", "setuptools-scm>=8.0"] |
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build-backend = "setuptools.build_meta" |
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[project] |
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name = "femr" |
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description = "Framework for Electronic Medical Records. A python package for building models using EHR data." |
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readme = "README.md" |
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dependencies = [ |
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"numpy >= 1.22", |
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"scipy >= 1.6", |
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"scikit-learn >= 0.24", |
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"tqdm >= 4.60.0", |
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"zstandard >= 0.18", |
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"icecream == 2.1.3", |
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"nptyping == 2.4.1", |
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"msgpack >= 1.0.5", |
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"meds == 0.1.3", |
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"meds_etl == 0.1.0", |
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"torch >= 2.1.2", |
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"transformers >= 4.25", |
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"datasets >= 2.15", |
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"polars >= 0.20", |
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"dill >= 0.3.7", |
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] |
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requires-python=">3.9" |
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dynamic = ["version"] |
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[tool.setuptools_scm] |
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version_file = "src/femr/_version.py" |
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[project.scripts] |
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femr_stanford_omop_fixer = "femr.post_etl_pipelines.stanford:femr_stanford_omop_fixer_program" |
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[project.optional-dependencies] |
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build = [ |
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"pytest >= 5.2", |
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"flake8-future-import >= 0.4.6", |
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"black >= 19.10b0", |
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"isort >= 5.3.2", |
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"mypy >= 0.782", |
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"flake8 >= 3.8.3", |
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"sphinx >= 3.2.1", |
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"sphinx-rtd-theme >= 0.5.0", |
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"sphinx-autoapi >= 1.5.1", |
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"torchtyping == 0.1.4", |
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] |
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[tool.isort] |
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multi_line_output = 3 |
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include_trailing_comma = true |
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force_grid_wrap = 0 |
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use_parentheses = true |
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ensure_newline_before_comments = true |
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line_length = 120 |
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[tool.black] |
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line_length = 120 |
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target_version = ['py310'] |
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[tool.pydocstyle] |
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match = "src/.*\\.py" |
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[tool.pytest.ini_options] |
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pythonpath = [ |
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"tests" |
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] |