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pyproject.toml
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pyproject.toml
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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "multimodal_autoencoders"
description = "Pytorch reimplementation of https://www.nature.com/articles/s41467-020-20249-2 for streamlined multidomain data integration and translation based on cross-modal autoencoders architectures"
dynamic = ["version"]
readme = "README.md"
license = "MIT"
keywords = []
authors = [
{ name = "Thibault, Bechtler", email = "th.bechtler@gmail.com" },
{ name = "Bartosz, Baranowski", email = "bartosz.baranowski@novartis.com" },
]
contributors = [
{ name = "Steffen, Renner", email = "steffen.renner@novartis.com" },
{ name = "Michal, Pikusa", email = "michal.pikusa@novartis.com" },
]
classifiers = [
"Development Status :: 4 - Beta",
"Programming Language :: Python",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
]
dependencies = [
"dataclasses",
"numpy",
"scikit-learn",
"torch",
]
[tool.hatch.version]
path = "multimodal_autoencoders/__about__.py"
[tool.hatch.build.targets.sdist]
include = [
"/multimodal_autoencoders",
]
exclude = [
"/.github",
"/.git",
]
[project.urls]
Documentation = "https://github.com/Novartis/ChemBioMultimodalAutoencoders#readme"
Issues = "https://github.com/Novartis/ChemBioMultimodalAutoencoders/issues"
Source = "https://github.com/Novartis/ChemBioMultimodalAutoencoders"
[tool.mypy]
disallow_untyped_defs = false
follow_imports = "normal"
ignore_missing_imports = true
pretty = true
show_column_numbers = true
warn_no_return = false
warn_unused_ignores = true
[tool.bandit]
recursive = true
skip = ["B101", "B102", "B105", "B110", "B112", "B301", "B307", "B324", "B403", "B404", "B603", "B604", "B606", "B607"]
[tool.black]
include = '\.pyi?$'
line-length = 120
skip-string-normalization = true
target-version = ["py38"]
[tool.isort]
default_section = "THIRDPARTY"
force_grid_wrap = 0
include_trailing_comma = true
known_first_party = ["hatch", "hatchling"]
line_length = 120
multi_line_output = 3
use_parentheses = true
[tool.coverage.run]
branch = true
omit = [
]
[tool.coverage.report]
exclude_lines = [
"no cov",
"if __name__ == .__main__.:",
"if TYPE_CHECKING:",
]