pyproject.toml

[tool.poetry]
name = "RecommenderSystems"
version = "0.1.0"
description = "Code for Practical Introduction to Recommender Systems(O'Reilly Japan)"
authors = ["Masahiro Kazama", "Kojiro Iizuka", "Yuya Matsumura"]

[tool.poetry.dependencies]
python = "^3.7.1,<3.8"
numpy = "^1.19.5"
pandas = "^1.2.0"
sklearn = "^0.0"
tqdm = "^4.55.2"
jupyterlab = "^3.0.3"
jedi = "0.17.2"
matplotlib = "^3.4.1"
scikit-surprise = "^1.1.1"
gensim = "^4.0.1"
implicit = "^0.4.4"
wheel = "^0.36.2"
ipywidgets = "^7.6.3"
mlxtend = "^0.18.0"
xlearn = "^0.40a1"

[tool.poetry.dev-dependencies]
mypy = "^0.902"
black = "^21.6b0"
flake8 = "^3.9.2"
taskipy = "^1.8.1"
pytest = "^6.2.4"

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

[tool.taskipy.tasks]
test = { cmd = "pytest chapter7", help = "runs all unit tests" }
pr_test = "task lint"
fmt = { cmd = "black -l 120 chapter5 chapter7", help = "format code" }
lint = { cmd = "task lint_black && task lint_flake8 && task lint_mypy", help = "exec lint" }
lint_flake8 = "flake8 chapter5 chapter7"
lint_mypy = "mypy chapter5/src chapter7/src"
lint_black = "black -l 120 --check chapter5 chapter7"