SP-CCI/pyproject.toml at main · kclip/SP-CCI · GitHub

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[build-system]
requires = ["setuptools>=68", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "sp-cci"
version = "0.1.0"
description = "Synthetic-Powered Conformal Counterfactual Inference (SP-CCI) experiments"
requires-python = ">=3.9"
readme = "README.md"
license = {text = "MIT"}
authors = [{name = " "}]

dependencies = [
    "numpy>=1.23",
    "pandas>=1.5",
    "scikit-learn>=1.2",
    "matplotlib>=3.6",
    "tqdm>=4.66",
    "scipy>=1.9",
]

[project.optional-dependencies]
torch = ["torch>=2.0"]
rt = [
    "tensorflow>=2.11",
    # Sionna is TF-based; install a version compatible with your TF & CUDA.
    # Example: "sionna>=0.15"
]

[tool.black]
line-length = 100
target-version = ["py39", "py310", "py311"]

[tool.isort]
profile = "black"
line_length = 100
multi_line_output = 3

[tool.flake8]
max-line-length = 100
extend-ignore = ["E203","W503"]