bindsnet/pyproject.toml at master · BindsNET/bindsnet · GitHub

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[project]
name = "bindsnet"
version = "0.3.4"
description = "Spiking neural networks for ML in Python"
authors = [
    { name = "Hananel Hazan", email = "hananel@hazan.org.il" },
    { name = "Daniel Saunders" },
    { name = "Darpan Sanghavi" },
    { name = "Hassaan Khan" },
]
license = "AGPL-3.0-only"
license-files = ["LICENSE"]
readme = "README.md"
requires-python = ">=3.11,<3.14"
keywords = ["spiking", "neural", "networks", "pytorch"]
classifiers = [
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3.13",
]
dependencies = [
    "numpy>=2,<3",
    "scipy>=1,<2",
    "torch>=2.14,<3",
    "torchvision>=0.29,<1",
    "tensorboardX>=2.6.4,<3",
    "tqdm>=4,<5",
    "matplotlib>=3.11.2,<4",
    "ale-py>=0,<1",
    "gymnasium[atari]>=1.4.0,<2",
    "scikit-image>=0,<1",
    "scikit-learn>=1,<2",
    "opencv-python>=4.14,<6",
    "pandas>=3.0.6,<4",
]

[project.urls]
Repository = "https://github.com/BindsNET/bindsnet"
Documentation = "https://bindsnet-docs.readthedocs.io/"
Changelog = "https://github.com/BindsNET/bindsnet/blob/master/CHANGELOG.md"

# Poetry-only detail: on Linux and Windows, install torch/torchvision from the CUDA 13.0
# wheel index. PyPI users get the torch build that PyPI serves.
[tool.poetry.dependencies]
torch = [
    { markers = "sys_platform != 'darwin'", source = "torch+cu130" },
    { markers = "sys_platform == 'darwin'" },
]
torchvision = [
    { markers = "sys_platform != 'darwin'", source = "torch+cu130" },
    { markers = "sys_platform == 'darwin'" },
]

[[tool.poetry.source]]
name = "torch+cu130"
url = "https://download.pytorch.org/whl/cu130"
priority = "explicit"

[tool.poetry.group.dev.dependencies]
pytest = "^9"
pre-commit = "^4"
notebook = "^7"
jupyterlab = "^4"
isort = "^9"
black = "^26"
autoflake = "^2"

[build-system]
requires = ["poetry-core>=2.0"]
build-backend = "poetry.core.masonry.api"

[tool.isort]
profile = "black"
line_length = 88
src_paths = ["bindsnet", "test"]

[tool.black]
target-version = ['py311', 'py312', 'py313']
include = '\.pyi?$'
exclude = '''
/(
    \.eggs
  | \.git
  | \.hg
  | \.mypy_cache
  | \.pytest_cache
  | \.venv
  | \.github
  | build
  | dist
  | BindsNET.egg-info
  | notebooks
  | data
  | logs
  )/
'''