pyproject.toml

[tool.poetry]
name = "moabb"
version = "0.4.4"
description = "Mother of All BCI Benchmarks"
authors = ["Alexandre Barachant", "Vinay Jayaram"]
maintainers = ["Sylvain Chevallier <sylvain.chevallier@uvsq.fr>"]
readme = "README.md"
repository = "https://github.com/NeuroTechX/moabb"
documentation = "https://moabb.neurotechx.com/docs/index.html"
keywords = ["eeg", "datasets", "reproducibility", "bci", "benchmark"]
license = "BSD-3-Clause"

[tool.poetry.dependencies]
python = "^3.7"
numpy = "^1.19.0"
scipy = "^1.5"
mne = ">=0.19"
pandas = "^1.0"
h5py = "^3.0"
scikit-learn = "^1.0"
pyriemann = ">=0.2.6"
matplotlib = "^3.0"
seaborn = ">=0.9"
PyYAML = "^5.0"
pooch = "^1.3"
requests = "^2.15.1"
coverage = "^5.5"

[tool.poetry.dev-dependencies]
Sphinx = "^3.3"
sphinx-gallery = "^0.8.2"
sphinx-bootstrap-theme = "^0.8"
numpydoc = "^1.1.0"
m2r2 = "^0.2.7"
pre-commit = "^2.11.1"
tdlda = {git = "https://github.com/jsosulski/tdlda.git", rev = "0.1.0"}

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

[tool.black]
line-length = 90
target-version = ["py36"]

[tool.isort]
src_paths = ["moabb"]
profile = "black"
line_length = 90
lines_after_imports = 2