pyproject.toml

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

[project]
name = "ffn"
authors = [
    {name = "Mezbaul Haque"},
]
description = "Python implementation of a Feed-Forward Backpropagation neural network using only the standard library."
keywords = ["python", "neural-network", "feedforward-neural-network", "backpropagation"]
readme = "README.md"
requires-python = ">=3.6"
license = {file = "LICENSE"}
classifiers = [
  "Programming Language :: Python :: 3",
  "Programming Language :: Python :: 3.6",
  "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 :: 3.12",
  "License :: OSI Approved :: MIT License",
  "Operating System :: OS Independent",
]
dependencies = []
dynamic = ["version"]

[project.optional-dependencies]
testing = ["coverage", "pytest"]

[project.urls]
Homepage = "https://github.com/mezbaul-h/ffn"
Repository = "https://github.com/mezbaul-h/ffn.git"
Issues = "https://github.com/mezbaul-h/ffn/issues"

[tool.bandit]
exclude_dirs = ["venv"]
skips = ["B101"]

[tool.black]
color = true
#extend-exclude = '''
#/(
#  | directory
#)/
#'''
line-length = 119
#target-version = ["py312"]

[tool.coverage.report]
show_missing = true
exclude_lines = [
  "pragma: no cover",
  "def __repr__",
  "if self.debug:",
  "if settings.DEBUG",
  "raise AssertionError",
  "raise NotImplementedError",
  "if 0:",
  "if __name__ == .__main__.:",
]

[tool.coverage.run]
branch = true
omit = [
  "*/test/*",
  "settings.py",
]
source = ["ffn"]

[tool.isort]
color_output = true
#extend_skip = ["directory"]
line_length = 119
multi_line_output = 3
profile = "black"
py_version = "auto"

[tool.mypy]
#exclude = ["directory"]
ignore_missing_imports = true

[tool.pytest.ini_options]
addopts = "-ra --verbose"
testpaths = ["test"]

[tool.setuptools.dynamic]
version = {attr = "ffn.__version__"}