pyproject.toml

[build-system]
requires = ["setuptools", "setuptools-scm"]
build-backend = "setuptools.build_meta"

[project]
name = "pes_to_spec"
authors = [
    {name = "Arman Davtyan", email = "arman.davtyan@xfel.eu"},
    {name = "Danilo Enoque Ferreira de Lima", email = "danilo.enoque.ferreira.de.lima@xfel.eu"},
    {name = "Thomas Michelat", email = "thomas.michelat@xfel.eu"}
    ]
description = "Use low-resolution non-invasive photon spectrometer data to estimate high-resolution images"
requires-python = ">=3.7"
keywords = ["supervised learning", "Principal Components Analysis", "photon spectrometer"]
classifiers = [
          "Development Status :: 3 - Alpha",
          "Environment :: Console",
          "Intended Audience :: Developers",
          "Intended Audience :: Science/Research",
          "Operating System :: POSIX :: Linux",
          "Programming Language :: Python :: 3",
          "Programming Language :: Python :: 3.7",
          "Topic :: Scientific/Engineering :: Information Analysis",
          "Topic :: Scientific/Engineering :: Physics"
          ]
dynamic = ["version", "readme"]
dependencies = [
          "numpy>=1.21",
          "scipy>=1.6",
          "scikit-learn>=1.2.0",
          "torch",
          "torchbnn",
          ]

[project.optional-dependencies]
offline = ["seaborn", "statsmodels", "matplotlib", "extra_data"]

[project.scripts]
offline_analysis = "pes_to_spec.test.offline_analysis:main"

[tool.setuptools]
packages = ["pes_to_spec"]
include-package-data = true
zip-safe = false

[tool.setuptools.dynamic]
version = {attr = "pes_to_spec.VERSION"}
readme = {file = ["README.md"]}