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pyproject.toml
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pyproject.toml
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[tool.poetry]
name = "kedro-kubeflow"
version = "0.7.3"
description = "Kedro plugin with Kubeflow Pipelines support"
readme = "README.md"
authors = ['Mateusz Pytel <[email protected]>', 'Mariusz Strzelecki <[email protected]>']
maintainers = ['GetInData MLOPS <[email protected]>']
homepage = "https://github.com/getindata/kedro-kubeflow"
repository = "https://github.com/getindata/kedro-kubeflow"
documentation = "https://kedro-kubeflow.readthedocs.io/"
keywords = ['kedro-plugin', 'kubeflow', 'machinelearning', 'mlops', 'kubeflow-pipelines', 'kedro']
license = "Apache-2.0"
classifiers = [
"Development Status :: 4 - Beta", # license and python versions added automatically
]
[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"
[tool.coverage.run]
branch = true
relative_files = true
[tool.coverage.report]
exclude_lines = [
"pragma: no cover",
"raise NotImplementedError"
]
[tool.black]
line-length = 79
[tool.isort]
known_third_party = ["click", "google", "kedro", "kfp", "kubernetes", "tabulate", "pydantic","semver", "setuptools"]
[tool.poetry.dependencies]
python = ">=3.8,<3.11"
kedro = ">=0.18.1, <0.19.0"
click = ">=8.0.4"
kfp = ">=1.8.12,<2.0"
tabulate = ">=0.8.7"
semver = "~=2.10"
fsspec = "<=2022.1,>=2021.4"
google-auth = { version = "<3", optional = true}
gcsfs = { version = "<=2022.1,>=2021.4", optional = true}
kedro-mlflow = { version = "~=0.11.1", optional = true }
[tool.poetry.extras]
mlflow = ["kedro-mlflow"]
gcp = ["google-auth", "gcsfs"]
[tool.poetry.dev-dependencies]
pytest = "<7"
pytest-cov = ">=2.8.0, <4.0.0"
tox = ">=3.25.1"
pre-commit = "2.20.0"
pytest-subtests = ">=0.5.0, <1.0.0"
responses = ">=0.13.4"
[tool.poetry.plugins] # Optional super table
[tool.poetry.plugins."kedro.project_commands"]
"kubeflow" = "kedro_kubeflow.cli:commands"
[tool.poetry.plugins."kedro.hooks"]
"kubeflow_mlflow_tags_hook" = "kedro_kubeflow.hooks:mlflow_tags_hook"