pyproject.toml

[project]
name = "prism-ehr"
version = "0.1.0"
description = "Engineering reproduction of PRISM for sparse EHR prediction"
readme = "README.md"
requires-python = ">=3.12"
license = "MIT"
authors = [{ name = "PRISM Reproduction" }]
keywords = ["ehr", "mimic-iv", "clinical-prediction", "deep-learning", "prism"]
dependencies = [
  "einops>=0.8.0",
  "matplotlib>=3.8",
  "numpy>=1.26",
  "pandas>=2.2",
  "pyarrow>=15.0",
  "scikit-learn>=1.4",
  "scipy>=1.12",
  "torch>=2.3",
  "tqdm>=4.66",
]

[project.optional-dependencies]
test = ["pytest>=8.0", "ruff>=0.5"]

[tool.uv]
package = false

[tool.ruff]
line-length = 120
src = ["src", "tests"]

[tool.ruff.lint]
select = ["E", "F", "I", "W"]
ignore = ["E501"]

[tool.pytest.ini_options]
testpaths = ["tests"]
pythonpath = ["src"]