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pyproject.toml
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[tool.poetry]
name = "active_learning_de"
version = "0.1.0"
description = "One class classification with uncertainty for active learning"
authors = ["bela127 <[email protected]>"]
license = "MIT"
[tool.poetry.dependencies]
python = ">=3.8,<3.10"
distribution-data-generation = { path = "/home/bela/Cloud/code/Git/distribution_data_generation", develop = true }
#distribution-data-generation = {git = "https://github.com/bela127/distribution_data_generation.git"}
active-learning-ts = { path = "/home/bela/Cloud/code/Git/active_learning_ts", develop = true }
#active-learning-ts = {git = "https://github.com/bela127/active_learning_ts.git"}
libclang = "<12.0"
tensor-annotations = "^1.0.2"
tensor-annotations-jax-stubs = "^1.0.0"
data-science-types = "^0.2.23"
coloredlogs = "^15.0.1"
ipython = "^8.0.1"
matplotlib = "^3.5.1"
[tool.poetry.dev-dependencies]
pytest = "^6.2.5"
mypy = "^0.910"
black = "^21.6b0"
flake8 = "^4.0.1"
[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"