pyproject.toml

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

[project]
name = "ccn-tutorial"
description = "A high-dimensional view of computational neuroscience"
readme = "README.md"
requires-python = ">=3.10.12"
license = { file = "LICENSE" }
authors = [
  { name = "Atlas Kazemian", email = "akazemi3@jh.edu" },
  { name = "Florentin Guth", email = "florentin.guth@ens.fr" },
  { name = "Michael Bonner", email = "mfbonner@jhu.edu" },
  { name = "Raj Magesh Gauthaman", email = "rgautha1@jh.edu" },
  { name = "Zirui Chen", email = "zchen160@jh.edu" },
]
keywords = [
  "Bonner Lab",
  "Conference on Computational Cognitive Neuroscience (CCN) 2023",
  "dimensionality",
  "computational neuroscience",
]
classifiers = [
  "Development Status :: 4 - Beta",
  "Intended Audience :: Science/Research",
  "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
  "Natural Language :: English",
  "Operating System :: POSIX :: Linux",
  "Programming Language :: Python :: 3",
  "Topic :: Scientific/Engineering",
  "Typing :: Typed",
]
urls = { repository = "https://github.com/BonnerLab/ccn-tutorial" }
dependencies = [
  "loguru",
  "more-itertools",
  "tqdm",
  "numpy",
  "pandas",
  "torch",
  "torchvision",
  "torchtext",
  "portalocker",
  "wordcloud",
  "xarray",
  "netCDF4",
  "scipy",
  "nilearn",
  "umap-learn",
  "Pillow",
  "matplotlib",
  "seaborn",
  "scikit-learn",
  "nilearn",
  "plotly",
  "ipykernel",
  "jupyter",
  "jupyter-cache",
  "notebook",
  "ipywidgets",
]
dynamic = ["version"]

[project.optional-dependencies]
dev = ["black", "mypy", "types-requests"]

[tool.black]
preview = true