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pyproject.toml
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75 lines (65 loc) · 1.3 KB
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[project]
name = "segger"
version = "0.1.0"
description = "Segmentation of spatial transcriptomics data"
authors = [
{name = "Elyas Heidari", email = "elyas.heidari@dkfz-heidelberg.de"},
{name = "Andrew Moorman", email = "moormana@mskcc.org"},
]
keywords = ["spatial-transcriptomics", "segmentation", "image-analysis"]
license = { text = "MIT" }
readme = "README.md"
requires-python = ">=3.11"
dependencies = [
"anndata",
"cyclopts",
"geopandas",
"lightning",
"numba",
"numpy",
"opencv-python",
"pandas",
"polars",
"pqdm",
"pyarrow",
"rtree",
"scanpy",
"scipy",
"shapely",
"scikit-image",
"scikit-learn",
"tifffile",
"torch_geometric",
"zarr",
]
[project.optional-dependencies]
spatialdata = [
"spatialdata>=0.7.2",
"spatialdata-io>=0.6.0",
]
spatialdata-io = [
"spatialdata-io>=0.6.0",
]
census = [
"cellxgene-census>=1.2.1",
]
sopa = [
"sopa>=2.0.0",
"spatialdata>=0.7.2",
]
spatialdata-all = [
"spatialdata>=0.7.2",
"spatialdata-io>=0.6.0",
"sopa>=2.0.0",
]
plot = [
"matplotlib>=3.7",
"uniplot>=0.10.0",
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["src/segger"]
[project.scripts]
segger = "segger.cli.main:app"