lightning/pyproject.toml

91 lines
2.6 KiB
TOML

[build-system]
requires = [
"setuptools",
"wheel",
]
[tool.isort]
known_first_party = [
"benchmarks",
"docs",
"pl_examples",
"pytorch_lightning",
"tests",
]
profile = "black"
line_length = 120
force_sort_within_sections = "False"
order_by_type = "False"
[tool.black]
line-length = 120
[tool.mypy]
files = ["pytorch_lightning", "pl_examples", "benchmarks"]
disallow_untyped_defs = "True"
ignore_missing_imports = "True"
show_error_codes = "True"
warn_redundant_casts = "True"
warn_unused_configs = "True"
warn_unused_ignores = "True"
allow_redefinition = "True"
# disable this rule as the Trainer attributes are defined in the connectors, not in its __init__
disable_error_code = "attr-defined"
# style choices
warn_no_return = "False"
# TODO: Fix typing for these modules
[[tool.mypy.overrides]]
module = [
"pytorch_lightning.callbacks.*",
"pytorch_lightning.core.*",
"pytorch_lightning.loggers.*",
"pytorch_lightning.loops.*",
"pytorch_lightning.metrics.*",
"pytorch_lightning.overrides.*",
"pytorch_lightning.plugins.environments.*",
"pytorch_lightning.plugins.training_type.*",
"pytorch_lightning.profiler.*",
"pytorch_lightning.trainer.*",
"pytorch_lightning.distributed.*",
"pytorch_lightning.tuner.*",
"pytorch_lightning.utilities.*",
"pl_examples.*",
"benchmarks.*",
"tests.helpers.*"
]
ignore_errors = "True"
[[tool.mypy.overrides]]
module = [
"pytorch_lightning.callbacks.device_stats_monitor",
"pytorch_lightning.callbacks.model_summary",
"pytorch_lightning.callbacks.pruning",
"pytorch_lightning.callbacks.rich_model_summary",
"pytorch_lightning.core.optimizer",
"pytorch_lightning.loops.optimization.*",
"pytorch_lightning.loops.evaluation_loop",
"pytorch_lightning.trainer.connectors.checkpoint_connector",
"pytorch_lightning.trainer.connectors.logger_connector.*",
"pytorch_lightning.trainer.connectors.signal_connector",
"pytorch_lightning.trainer.progress",
"pytorch_lightning.tuner.auto_gpu_select",
"pytorch_lightning.utilities.apply_func",
"pytorch_lightning.utilities.argparse",
"pytorch_lightning.utilities.cli",
"pytorch_lightning.utilities.cloud_io",
"pytorch_lightning.utilities.device_dtype_mixin",
"pytorch_lightning.utilities.device_parser",
"pytorch_lightning.utilities.distributed",
"pytorch_lightning.utilities.memory",
"pytorch_lightning.utilities.model_summary",
"pytorch_lightning.utilities.parameter_tying",
"pytorch_lightning.utilities.parsing",
"pytorch_lightning.utilities.seed",
"pytorch_lightning.utilities.xla_device",
]
ignore_errors = "False"