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# NOTE: Do not create an exclude list. Edit .lintrunner.toml instead
target-version = "py310"
line-length = 120
[tool.ruff.lint]
select = [
"B", # flake8-bugbear
"C4", # flake8-comprehensions
"E", # pycodestyle
"F", # Pyflakes
"FURB", # refurb
"G", # flake8-logging-format
"I", # isort
"ISC", # flake8-implicit-str-concat
"N", # pep8-naming
"NPY", # numpy
"PERF", # Perflint
"PIE", # flake8-pie
"PLC", # pylint conventions
"PLE", # pylint errors
"PLW", # pylint warnings
"PYI", # flake8-pyi
"RUF", # Ruff-specific rules
"SIM", # flake8-simplify
"SLOT", # flake8-slots
"T10", # flake8-debugger
"UP", # pyupgrade
"W", # pycodestyle
"YTT", # flake8-2020
]
# NOTE: Refrain from growing the ignore list unless for exceptional cases.
# Always include a comment to explain why.
ignore = [
"B028", # FIXME: Add stacklevel to warnings
"C408", # Sometimes it is preferable when we construct kwargs
"E501", # Line length controlled by black
"G004", # FIXME: Enable when the rule can be autofixed
"N803", # Argument casing
"N812", # Allow import torch.nn.functional as F
"N813", # Allow importing camelcase names in lowercase
"N999", # Module names
"NPY002", # np.random.Generator may not always fit our use cases
"PERF203", # "try-except-in-loop" only affects Python <3.11, and the improvement is minor; can have false positives
"PERF401", # List comprehensions are not always readable
"PYI041", # May create confusion
"PYI024", # May create confusion
"SIM102", # We don't perfer always combining if branches
"SIM103", # Do not collapse if-else
"SIM108", # We don't encourage ternary operators
"SIM114", # Don't combine if branches for debugability
"SIM116", # Don't use dict lookup to replace if-else
"UP038", # Using X | Y in isinstance checks is a little aggresive
]
[tool.ruff.lint.per-file-ignores]
# NOTE: Refrain from growing the ignore list unless for exceptional cases.
# Prefer inline ignores with `noqa: xxx`.
# Eventually this list should become empty.
"orttraining/orttraining/test/**" = ["N802"] # Function casing
"tools/nuget/generate_nuspec_for_native_nuget.py" = ["ISC003"] # Too many errors to fix
"onnxruntime/contrib_ops/cuda/sparse/sparse_attention_v1/sparse_attention_triton.py" = ["N806"] # use of Q, K and V in triton script
"onnxruntime/contrib_ops/cuda/sparse/sparse_attention_v2/sparse_attention_v2_triton.py" = ["N806"] # use of Q, K and V in triton script
"onnxruntime/python/tools/transformers/models/torch_export_patches/*" = ["F401", "PLW0211", "N801", "N806", "RUF012"] # patches are based on pytorch code
"onnxruntime/test/python/quantization/test_op_gemm.py" = ["N806"] # use of A for a matrix
"onnxruntime/test/python/quantization/op_test_utils.py" = ["N806", "PERF203", "RUF012"] # use of A for a matrix
"orttraining/orttraining/python/training/ort_triton/kernel/_flash_attn.py" = ["N806", "PLW2901", "ISC001", "E731"] # Long triton code from other repo.
