gan-lab-tensorflow/pyproject.toml at main · yabtesfu/gan-lab-tensorflow · GitHub

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[build-system]
requires = ["setuptools>=61", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "gan-lab-tensorflow"
version = "0.2.0"
description = "A TensorFlow GAN lab plus a real-time, steerable GAN training observatory."
readme = "README.md"
requires-python = ">=3.10"
authors = [{ name = "yabtesfu" }]
license = "MIT"
# Core install is lightweight: only NumPy. The TensorFlow/Keras models and the
# matplotlib helpers are imported lazily, so they are opt-in extras -- this is
# what lets the real-time observatory run (and containerise) without a 500 MB
# TensorFlow install.
dependencies = [
  "numpy>=1.24"
]

[project.optional-dependencies]
web = [
  "fastapi>=0.110",
  "uvicorn[standard]>=0.29",
  "websockets>=12.0"
]
tf = [
  "tensorflow>=2.15; python_version < '3.13'"
]
viz = [
  "matplotlib>=3.8"
]
dev = [
  "pytest>=8.0",
  "ruff>=0.4"
]
notebook = [
  "jupyter>=1.0",
  "pandas>=2.0"
]

[project.scripts]
gan-lab = "gan_lab_tensorflow.cli:main"

[tool.setuptools.packages.find]
where = ["src"]

[tool.setuptools.package-data]
"gan_lab_tensorflow.live" = ["static/*"]

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