[build-system]
requires = ["setuptools>=68"]
build-backend = "setuptools.build_meta"

[project]
name = "dlcoalsim"
version = "0.7.0"
description = "Coalescent simulation of demographic histories for learned inference of Ne(t)"
readme = "README.md"
requires-python = ">=3.11"
license = "MIT"
authors = [{ name = "Larry Ivan Han" }]
keywords = ["population genetics", "coalescent", "demographic inference", "msprime"]
classifiers = [
    "Intended Audience :: Science/Research",
    "Programming Language :: Python :: 3.11",
    "Topic :: Scientific/Engineering :: Bio-Informatics",
]

# msprime carries tskit and numpy.  pandas is used for the metadata tables the
# generator writes beside every dataset.
dependencies = [
    "msprime>=1.3",
    "numpy>=1.26",
    "pandas>=2.0",
]

[project.optional-dependencies]
# Needed only to rebuild the frozen assets, never to use them.  The eighteen
# held-out catalogue trajectories and the recombination map ship in the
# package; these pull in the tools that produced them.
build-assets = ["stdpopsim>=0.3", "pyBigWig>=0.3"]
dev = ["pytest>=8.0"]

[project.scripts]
dlcoalsim = "simulator.cli:main"

[tool.setuptools.packages.find]
include = ["simulator*"]

[tool.setuptools.package-data]
simulator = [
    "assets/maps/*.bed",
    "assets/templates/human_ne/*",
    "assets/templates/stdpopsim_single_pop/*",
]

[tool.pytest.ini_options]
testpaths = ["tests"]