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https://github.com/BerriAI/litellm.git
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85a1a4fab8
ruff-strict.toml extended the deleted ruff.toml, which broke the strict gate in CI; ruff supports extending a pyproject.toml directly, and the per-rule strict finding counts are identical before and after (60481 findings, same per-rule distribution), with scripts/ruff_strict_gate.py passing end to end Also anchor the pyproject.toml, uv.lock and liccheck.ini reads in check_licenses.py to the script location, matching the cache path fix, so the script no longer depends on being run from the repo root (Greptile P2)
33 lines
2.8 KiB
TOML
33 lines
2.8 KiB
TOML
extend = "pyproject.toml"
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[lint]
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preview = true
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select = ["ANN", "ASYNC230", "B004", "B006", "B008", "B009", "B010", "B018", "B019", "B021", "B026", "B033", "BLE", "C401", "C404", "C405", "C408", "C414", "C419", "C901", "D419", "DTZ001", "DTZ003", "DTZ005", "DTZ006", "DTZ007", "DTZ011", "EXE001", "EXE002", "F401", "FURB136", "FURB168", "FURB188", "I001", "LOG015", "N999", "PERF102", "PERF401", "PERF402", "PERF403", "PIE790", "PIE800", "PIE804", "PIE810", "PLC0206", "PLC0208", "PLC0414", "PLR0124", "PLR0206", "PLR0402", "PLR1704", "PLR1711", "PLR1714", "PLR1730", "PLR2044", "PLW0127", "PLW0133", "PLW0602", "PLW0603", "PLW1508", "PLW1510", "PYI030", "PYI036", "PYI041", "PYI064", "RET501", "RET504", "RUF010", "RUF012", "RUF015", "RUF019", "RUF022", "RUF023", "RUF046", "RUF051", "RUF059", "RUF100", "S110", "S112", "SIM101", "SIM102", "SIM103", "SIM113", "SIM114", "SIM115", "SIM117", "SIM118", "SIM201", "SIM210", "SIM211", "SIM222", "SIM401", "TC004", "TC005", "TID251", "TRY002", "TRY004", "TRY201", "TRY203", "TRY300", "UP006", "UP007", "UP008", "UP012", "UP018", "UP024", "UP028", "UP031", "UP032", "UP034", "UP035", "UP036", "UP037", "UP045"]
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extend-select = []
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[lint.mccabe]
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max-complexity = 15
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[lint.pylint]
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max-args = 5
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[lint.flake8-tidy-imports.banned-api]
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"typing.Any".msg = "Use a concrete type. Frozen slots=True dataclass (preferred) / NamedTuple / ReadOnly TypedDict for payloads."
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"typing_extensions.Any".msg = "Same as typing.Any."
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"typing.List".msg = "tuple[X, ...] for state, Sequence[X] for params."
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"typing.Dict".msg = "Frozen dataclass / NamedTuple / ReadOnly TypedDict; create a Mapping alias with concrete value types if truly dynamic."
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"typing.Set".msg = "frozenset[X] or AbstractSet[X]."
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"typing.MutableSequence".msg = "Sequence[X]."
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"typing.MutableMapping".msg = "See typing.Dict."
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# Unchecked casts: cast() lies to the type checker with no runtime guarantee.
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# Validate into a concrete frozen type at the boundary (pydantic) instead.
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# Per-call-site coverage lives in check_type_discipline.py (LIT006); this freezes
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# new cast imports. Suppress (with a reason) via `# noqa: TID251 # <reason>`.
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"typing.cast".msg = "No unchecked casts: validate into a frozen dataclass/NamedTuple/ReadOnly TypedDict at the boundary (pydantic)."
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"typing_extensions.cast".msg = "Same as typing.cast."
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# Unverified narrowing predicates: the checker never validates the guard body, so a
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# wrong guard silently corrupts types. Banned outright (there are none today).
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"typing.TypeGuard".msg = "Unverified narrowing. Parse into a concrete type, or use isinstance for a runtime-checked narrowing."
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"typing_extensions.TypeGuard".msg = "Same as typing.TypeGuard."
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"typing.TypeIs".msg = "Unverified narrowing (the body is trusted). Parse into a concrete type instead."
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"typing_extensions.TypeIs".msg = "Same as typing.TypeIs."
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