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

[project]
name = "epos_ai_picking_tools"
description = 'P and S Waves Detection with Deep Learning'
readme = "README.md"
requires-python = ">=3.7"
license = "MIT"
keywords = []
authors = [
  { name = "Hubert Siejkowski", email = "h.siejkowski@cyfronet.pl" },
]
classifiers = [
  "Programming Language :: Python",
  "Programming Language :: Python :: 3.7",
  "Programming Language :: Python :: 3.8",
  "Programming Language :: Python :: 3.9",
  "Programming Language :: Python :: 3.10",
  "Programming Language :: Python :: 3.11",
  "Programming Language :: Python :: Implementation :: CPython",
]
dependencies = [
    "numpy<2.0.0",
    "seisbench==0.5.*",
    "click"
]
dynamic = ["version"]

[tool.hatch.version]
path = "src/epos_ai_picking_tools/__about__.py"

[tool.hatch.envs.default]
dependencies = [
  "pytest",
  "pytest-cov",
  "ipython",
  "black",
  "isort",
  "cogapp",
  "twine"
]
[tool.hatch.envs.default.scripts]
cov = "pytest --cov-report=term-missing --cov-config=pyproject.toml --cov=gpd_tool --cov=tests"
no-cov = "cov --no-cov"

[[tool.hatch.envs.test.matrix]]
python = ["310", "311"]

[tool.coverage.run]
branch = true
parallel = true
omit = [
  "gpd_tool/__about__.py",
]

[tool.coverage.report]
exclude_lines = [
  "no cov",
  "if __name__ == .__main__.:",
  "if TYPE_CHECKING:",
]

[project.scripts]
gpd_tool = "epos_ai_picking_tools.cli_gpd:cli"
phasenet_tool = "epos_ai_picking_tools.cli_phasenet:cli"

[tool.hatch.build.targets.sdist]
exclude = [
  ".micromamba"
]