pyproject.toml

[tool.poetry]
name = "toeplitzlda"
version = "0.3.0"
description = "Implementation of LDA using a block-Toeplitz structured covariance matrix for stationary spatiotemporal data."
authors = ["Jan Sosulski <mail@jan-sosulski.de>"]
keywords = [
	"linear discriminant analysis",
	"spatiotemporal data",
	"ERP",
	"BCI",
	"EEG",
]
readme = "README.md"
license = "BSD-3-Clause"
homepage = "https://github.com/jsosulski/toeplitzlda"
repository = "https://github.com/jsosulski/toeplitzlda"
include = ["LICENSE"]

[tool.poetry.dependencies]
python = "^3.8,<3.12"
numpy = "^1.22.1"
# blockmatrix = "^0.2.0"
blockmatrix = { path = "../blockmatrix" }
scikit-learn = "^1.0"
toeplitz = { version = "0.3.2", optional = true }
pandas = { version = "^1.4.0", optional = true }
mne = { version = "^1", optional = true }
moabb = { version = "^1", optional = true }
seaborn = { version = "^0.12", optional = true }

[tool.poetry.dev-dependencies]
pytest = "^7"

[tool.poetry.extras]
solver = ["toeplitz"]
neuro = ["mne", "moabb", "pandas", "seaborn"]

[tool.poetry.urls]
"Preprint" = "https://arxiv.org/abs/2202.02001"

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

[tool.black]
line-length = 100