flynnconceivable/pyproject.toml at main · anjaustin/flynnconceivable · GitHub

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[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "flynnconceivable"
version = "1.0.0"
description = "The Neural Network That Became a CPU - A complete 6502 CPU computed by neural networks at 100% accuracy"
readme = "README.md"
license = {file = "LICENSE"}
authors = [
    {name = "FLYNNCOMM, LLC"}
]
keywords = [
    "neural-network",
    "cpu",
    "6502",
    "machine-learning",
    "pytorch",
    "emulator",
    "deep-learning"
]
classifiers = [
    "Development Status :: 5 - Production/Stable",
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: MIT License",
    "Operating System :: OS Independent",
    "Programming Language :: Python :: 3",
    "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",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: System :: Emulators",
]
requires-python = ">=3.8"
dependencies = [
    "torch>=1.9.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=7.0.0",
    "pytest-cov>=4.0.0",
]

[project.urls]
Homepage = "https://flynnconceivable.io"
Repository = "https://github.com/flynncomm/flynnconceivable"
Documentation = "https://flynnconceivable.io/docs"

[tool.setuptools.packages.find]
where = ["."]
include = ["flynnconceivable*"]

[tool.setuptools.package-data]
"*" = ["weights/*.pt"]

[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py"]
python_functions = ["test_*"]
addopts = "-v --tb=short"

[tool.coverage.run]
source = ["flynnconceivable"]
omit = ["*/tests/*", "*/training/*"]