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

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[tool.poetry]
name = "bindsnet"
version = "0.3.3"
description = "Spiking neural networks for ML in Python"
authors = [ "Hananel Hazan <hananel@hazan.org.il>", "Daniel Saunders", "Darpan Sanghavi", "Hassaan Khan" ]
license = "AGPL-3.0-only"
readme = "README.md"
repository = "https://github.com/BindsNET/bindsnet"
documentation = "https://bindsnet-docs.readthedocs.io/"
keywords = ["spiking", "neural", "networks", "pytorch"]

[tool.poetry.dependencies]
python = ">=3.10,<3.14"
numpy = "^2"
numba = "^0"
scipy = "^1"
Cython = "^3"
torch = [
    {version = "2.9.1", markers = "sys_platform != 'darwin'", source = "torch+cu128"},
    {version = "2.9.1", markers = "sys_platform == 'darwin'" },
]
torchvision = [
    {version = "0.24.1", markers = "sys_platform != 'darwin'", source = "torch+cu128"},
    {version = "0.24.1", markers = "sys_platform == 'darwin'" },
]
torchaudio = [
    {version = "2.9.1", markers = "sys_platform != 'darwin'", source = "torch+cu128"},
    {version = "2.9.1", markers = "sys_platform == 'darwin'" },
]
tensorboardX = "^2.6.4"
tqdm = "^4"
matplotlib = "^3"
ale-py = "^0.10.2"
gymnasium = {extras = ["atari"], version = "^1"}
scikit-build = "^0.18"
scikit-image = "^0.25.2"
scikit-learn = "^1.5"
opencv-python = "^4"
pandas = "^2"
foolbox = "^3"

[[tool.poetry.source]]
 name = "torch+cu128"
 url = "https://download.pytorch.org/whl/cu128"
 priority = "explicit"

[tool.poetry.group.dev.dependencies]
pytest = "^8"
pre-commit = "^3"
notebook = "^7"
jupyterlab = "^4"
isort = "^5.9.3"
black = "^24"
autoflake = "^2"

[build-system]
requires = ["setuptools", "poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"

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

[tool.black]
target-version = ['py38']
include = '\.pyi?$'
exclude = '''
/(
    \.eggs
  | \.git
  | \.hg
  | \.mypy_cache
  | \.pytest_cache
  | \.venv
  | \.github
  | build
  | dist
  | BindsNET.egg-info
  | notebooks
  | data
  | logs
  )/
'''