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Copy pathpyproject.toml
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91 lines (83 loc) · 2.07 KB
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[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "multiplex-image-model"
version = "0.1.0"
description = "A masked autoencoder for multiplex imaging data with hyperkernel architecture"
readme = "README.md"
requires-python = ">=3.12"
license = {text = "MIT"}
authors = [
{name = "Your Name", email = "your.email@example.com"}
]
keywords = ["multiplex imaging", "autoencoder", "hyperkernel", "deep learning"]
classifiers = [
"Intended Audience :: Science/Research",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Image Processing",
]
dependencies = [
"tifffile==2025.6.11",
"torch==2.7.1",
"numpy==2.2.6",
"torchvision==0.22.1",
"tqdm==4.67.1",
"comet-ml>=3.0.0",
"pydantic>=2.0.0",
"matplotlib==3.10.3",
"pandas==2.3.1",
"scikit-image==0.25.2",
"scikit-learn==1.7.1",
"seaborn==0.13.2",
"ruamel.yaml==0.18.14",
"opencv-python==4.12.0.88"
]
[project.optional-dependencies]
dev = [
"black>=23.0.0",
"isort>=5.12.0",
"flake8>=6.0.0",
"mypy>=1.0.0",
]
[project.urls]
Homepage = "https://github.com/dav3794/multiplex-image-model"
Repository = "https://github.com/dav3794/multiplex-image-model"
Issues = "https://github.com/dav3794/multiplex-image-model/issues"
[tool.setuptools.packages.find]
where = ["."]
include = ["multiplex_model*"]
exclude = ["tests*", "notebooks*", "configs*"]
[tool.black]
line-length = 120
target-version = ['py312']
include = '\.pyi?$'
extend-exclude = '''
/(
# directories
\.eggs
| \.git
| \.hg
| \.mypy_cache
| \.tox
| \.venv
| build
| dist
)/
'''
[tool.isort]
profile = "black"
line_length = 120
multi_line_output = 3
include_trailing_comma = true
force_grid_wrap = 0
use_parentheses = true
ensure_newline_before_comments = true
[tool.mypy]
python_version = "3.12"
warn_return_any = true
warn_unused_configs = true
disallow_untyped_defs = false
ignore_missing_imports = true