PyMRItools/pyproject.toml at main · schmidt-jo/PyMRItools · GitHub

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[project]
name = "pymritools"
version = "0.1.0"
description = "Add your description here"
requires-python = ">=3.12"
dependencies = [
    "nibabel>=5.3.2",
    "numpy>=2.3.4",
    "plotly>=6.4.0",
    "polars>=1.35.2",
    "pypulseq",
    "simple-parsing>=0.1.7",
    "tqdm>=4.67.1",
    "twixtools",
    "wandb>=0.23.0",
    "torch>=2.9.1",
    "scipy-stubs==1.16.3.0",
    "torch-kmeans>=0.2.0",
    "rich>=14.2.0",
    "autodmri>=0.2.7",
    "kaleido>=1.2.0",
    "scikit-image>=0.26.0",
]

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[tool.uv.sources]
twixtools = { git = "https://github.com/pehses/twixtools.git", rev = "master" }
pypulseq = { git = "https://github.com/imr-framework/pypulseq.git", rev = "dev" }
torch = [
  { index = "pytorch-cu130", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
]
torchvision = [
  { index = "pytorch-cu130", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
]

[[tool.uv.index]]
name = "pytorch-cu130"
url = "https://download.pytorch.org/whl/cu130"
explicit = true

[project.scripts]
recon_loraks = "pymritools.recon.loraks.recon:loraks_from_cli"
simulation_emc_mese = "pymritools.simulation.emc.sequence.mese:main"
processing_unring = "pymritools.processing.unringing.gibbs_unr:main"
processing_denoise_lcpca = "pymritools.processing.denoising.lcpca.denoise:main"
seqprog_raw_data = "pymritools.seqprog.rawdata.rd_read:main"
modeling_afi_b1 = "pymritools.modeling.b1_afi.modeling:main"