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setup.cfg
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[metadata]
name = kgcn
version = attr: kgcn.__version__.__version__
author = Kanchi Shimono
author_email = [email protected]
description = Tensorflow 2.0 implementation of Knowledge Graph Convolutional Networks for Recommender Systems
long_description = file: README.md
url = https://github.com/KanchiShimono/KGCN
license = MIT
[options]
python_requires = >=3.7
package_dir =
= python
packages = find:
install_requires =
tensorflow >= 2.1.0
numpy
pandas
scikit-learn
absl-py
python-json-logger
[options.extras_require]
dev =
mypy
flake8
yapf
isort
pytest
test =
mypy
flake8
isort
pytest
[options.packages.find]
where = python
[flake8]
max-complexity = 10
[isort]
balanced_wrapping = True
multi_line_output = 6
[mypy]
namespace_packages = True
show_column_numbers = True
ignore_missing_imports = True
# The fllowing options are enabled by --strict option
warn_unused_configs = True
disallow_any_generics = True
disallow_subclassing_any = True
disallow_untyped_calls = True
disallow_untyped_defs = True
disallow_incomplete_defs = True
check_untyped_defs = True
disallow_untyped_decorators = True
no_implicit_optional = True
warn_redundant_casts = True
warn_unused_ignores = True
warn_return_any = True
no_implicit_reexport = True
strict_equality = True