Preserve original type for unannotated passthrough decorators (#2825)#2825
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grievejia wants to merge 1 commit intofacebook:mainfrom
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Preserve original type for unannotated passthrough decorators (#2825)#2825grievejia wants to merge 1 commit intofacebook:mainfrom
grievejia wants to merge 1 commit intofacebook:mainfrom
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@grievejia has exported this pull request. If you are a Meta employee, you can view the originating Diff in D96672235. |
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…ok#2825) Summary: Pyrefly was emitting a false positive `bad-argument-count` error when a function was decorated with a "dual-use" decorator — one that can be used as both `decs` and `decs(flag)`. This pattern is common in libraries like click, celery, and flask, as well as in application code. The root cause is that Pyrefly infers the return type of such decorators as a union of all return paths. For example, a decorator like `optional_debug` that returns either `decorator(func_or_flag)` (a passthrough wrapper) or `decorator` (the factory function) gets a union type of `wrapper | decorator`. When the decorated function is called, the `decorator` branch of the union rejects the arguments (wrong arity), producing a spurious error even though the `wrapper` branch accepts them. The fix adapts pyright's unannotated decorator passthrough heuristic: when a decorator call returns a callable (or a union containing one) that has only `*args`/`**kwargs` parameters with all implicit `Any` types and an implicit `Any` return — the hallmark of an unannotated passthrough wrapper — we preserve the original decorated function's type instead. This is sound because such a wrapper provides no type information; preserving the original signature is strictly more informative. Changes: - Add `Callable::is_unannotated_passthrough()` to detect the `(*args, **kwargs) -> Unknown` pattern - Add `Type::is_unannotated_passthrough()` as a convenience wrapper for Function/Callable variants - Add two match arms in `apply_function_decorator` to handle direct passthrough and union-containing-passthrough cases - Add test cases for dual-use decorators and simple unannotated passthrough decorators Fixes facebook#2621 Differential Revision: D96672235
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Diff from mypy_primer, showing the effect of this PR on open source code: ibis (https://github.com/ibis-project/ibis)
+ ERROR ibis/backends/materialize/tests/test_mz_now.py:91:16-48: `-` is not supported between `TimestampScalar` and `IntervalScalar` [unsupported-operation]
+ ERROR ibis/backends/materialize/tests/test_streaming_edge_cases.py:156:16-48: `-` is not supported between `TimestampScalar` and `IntervalScalar` [unsupported-operation]
+ ERROR ibis/common/tests/test_annotations.py:371:20-23: Argument `float` is not assignable to parameter `b` with type `int` in function `test` [bad-argument-type]
+ ERROR ibis/common/tests/test_annotations.py:391:23-26: Argument `float` is not assignable to parameter `c` with type `int` in function `test` [bad-argument-type]
+ ERROR ibis/common/tests/test_annotations.py:423:22-30: Argument `Literal['qweqwe']` is not assignable to parameter `b` with type `float | int` in function `test` [bad-argument-type]
- ERROR ibis/common/tests/test_annotations.py:432:12-30: Object of class `FunctionType` has no attribute `__signature__`
+ ERROR ibis/common/tests/test_annotations.py:432:12-30: Object of class `FunctionType` has no attribute `__signature__` [missing-attribute]
- Object of class `partial` has no attribute `__signature__` [missing-attribute]
+ ERROR ibis/common/tests/test_annotations.py:456:33-36: Argument `float` is not assignable to parameter `*args` with type `int` in function `test` [bad-argument-type]
+ ERROR ibis/common/tests/test_annotations.py:468:41-44: Keyword argument `f` with type `float` is not assignable to parameter `**kwargs` with type `int` in function `test` [bad-argument-type]
+ ERROR ibis/common/tests/test_annotations.py:476:24-27: Argument `float` is not assignable to parameter `*args` with type `int` in function `test` [bad-argument-type]
+ ERROR ibis/common/tests/test_annotations.py:476:34-37: Keyword argument `c` with type `float` is not assignable to parameter `**kwargs` with type `int` in function `test` [bad-argument-type]
+ ERROR ibis/expr/builders.py:215:23-28: Argument `Cast | Unknown` is not assignable to parameter `start` with type `WindowBoundary[Interval | Numeric] | None` in function `WindowBuilder.range` [bad-argument-type]
+ ERROR ibis/expr/builders.py:215:23-28: Argument `Cast | Unknown` is not assignable to parameter `start` with type `WindowBoundary[Integer] | None` in function `WindowBuilder.rows` [bad-argument-type]
+ ERROR ibis/expr/builders.py:215:30-33: Argument `Cast | Unknown` is not assignable to parameter `end` with type `WindowBoundary[Interval | Numeric] | None` in function `WindowBuilder.range` [bad-argument-type]
+ ERROR ibis/expr/builders.py:215:30-33: Argument `Cast | Unknown` is not assignable to parameter `end` with type `WindowBoundary[Integer] | None` in function `WindowBuilder.rows` [bad-argument-type]
- ERROR ibis/expr/builders.py:296:20-42: Returned type `((*args: Unknown, **kwargs: Unknown) -> Unknown) | partial[((*args: Unknown, **kwargs: Unknown) -> Unknown) | partial[((*args: Unknown, **kwargs: Unknown) -> Unknown) | Unknown]] | Unknown` is not assignable to declared return type `Self@LegacyWindowBuilder` [bad-return]
- ERROR ibis/expr/builders.py:298:20-39: Returned type `((*args: Unknown, **kwargs: Unknown) -> Unknown) | partial[((*args: Unknown, **kwargs: Unknown) -> Unknown) | partial[((*args: Unknown, **kwargs: Unknown) -> Unknown) | Unknown]] | Unknown` is not assignable to declared return type `Self@LegacyWindowBuilder` [bad-return]
- ERROR ibis/expr/builders.py:300:20-40: Returned type `((*args: Unknown, **kwargs: Unknown) -> Unknown) | partial[((*args: Unknown, **kwargs: Unknown) -> Unknown) | partial[((*args: Unknown, **kwargs: Unknown) -> Unknown) | Unknown]] | Unknown` is not assignable to declared return type `Self@LegacyWindowBuilder` [bad-return]
- ERROR ibis/expr/types/generic.py:914:50-61: Object of class `FunctionType` has no attribute `bind`
- Object of class `partial` has no attribute `bind` [missing-attribute]
+ ERROR ibis/tests/expr/test_temporal.py:513:18-27: `-` is not supported between `TimestampValue` and `TimestampValue` [unsupported-operation]
+ ERROR ibis/tests/expr/test_temporal.py:513:29-38: `-` is not supported between `TimestampValue` and `TimestampValue` [unsupported-operation]
+ ERROR ibis/tests/expr/test_temporal.py:518:18-26: `-` is not supported between `TimestampValue` and `IntervalScalar` [unsupported-operation]
+ ERROR ibis/tests/expr/test_temporal.py:518:28-36: `-` is not supported between `TimestampValue` and `IntervalScalar` [unsupported-operation]
+ ERROR ibis/tests/expr/test_temporal.py:532:18-25: `-` is not supported between `DateValue` and `DateValue` [unsupported-operation]
+ ERROR ibis/tests/expr/test_temporal.py:532:27-34: `-` is not supported between `DateValue` and `DateValue` [unsupported-operation]
+ ERROR ibis/tests/expr/test_temporal.py:537:18-25: `-` is not supported between `DateValue` and `IntervalScalar` [unsupported-operation]
+ ERROR ibis/tests/expr/test_temporal.py:537:27-34: `-` is not supported between `DateValue` and `IntervalScalar` [unsupported-operation]
+ ERROR ibis/tests/expr/test_temporal.py:551:18-25: `-` is not supported between `TimeValue` and `TimeValue` [unsupported-operation]
+ ERROR ibis/tests/expr/test_temporal.py:551:27-34: `-` is not supported between `TimeValue` and `TimeValue` [unsupported-operation]
+ ERROR ibis/tests/expr/test_temporal.py:556:18-25: `-` is not supported between `TimeValue` and `IntervalScalar` [unsupported-operation]
+ ERROR ibis/tests/expr/test_temporal.py:556:27-34: `-` is not supported between `TimeValue` and `IntervalScalar` [unsupported-operation]
+ ERROR ibis/tests/expr/test_temporal.py:573:13-19: `-` is not supported between `DateValue` and `IntervalScalar` [unsupported-operation]
- ERROR ibis/tests/expr/test_window_frames.py:67:12-20: Object of class `FunctionType` has no attribute `start`
- Object of class `partial` has no attribute `start` [missing-attribute]
+ ERROR ibis/tests/expr/test_window_frames.py:63:16-19: Missing argument `end` in function `ibis.expr.builders.WindowBuilder.rows` [missing-argument]
+ ERROR ibis/tests/expr/test_window_frames.py:63:17-18: Argument `Literal[5]` is not assignable to parameter `start` with type `WindowBoundary[Integer] | None` in function `ibis.expr.builders.WindowBuilder.rows` [bad-argument-type]
+ ERROR ibis/tests/expr/test_window_frames.py:65:18-19: Argument `Literal[5]` is not assignable to parameter `start` with type `WindowBoundary[Integer] | None` in function `ibis.expr.builders.WindowBuilder.rows` [bad-argument-type]
+ ERROR ibis/tests/expr/test_window_frames.py:65:21-23: Argument `Literal[10]` is not assignable to parameter `end` with type `WindowBoundary[Integer] | None` in function `ibis.expr.builders.WindowBuilder.rows` [bad-argument-type]
- ERROR ibis/tests/expr/test_window_frames.py:68:12-18: Object of class `FunctionType` has no attribute `end`
- Object of class `partial` has no attribute `end` [missing-attribute]
+ ERROR ibis/tests/expr/test_window_frames.py:71:18-20: Argument `Literal[-5]` is not assignable to parameter `start` with type `WindowBoundary[Integer] | None` in function `ibis.expr.builders.WindowBuilder.rows` [bad-argument-type]
+ ERROR ibis/tests/expr/test_window_frames.py:71:22-24: Argument `Literal[10]` is not assignable to parameter `end` with type `WindowBoundary[Integer] | None` in function `ibis.expr.builders.WindowBuilder.rows` [bad-argument-type]
- ERROR ibis/tests/expr/test_window_frames.py:69:12-18: Object of class `FunctionType` has no attribute `how`
- Object of class `partial` has no attribute `how` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:72:12-20: Object of class `FunctionType` has no attribute `start`
- Object of class `partial` has no attribute `start` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:73:12-18: Object of class `FunctionType` has no attribute `end`
- Object of class `partial` has no attribute `end` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:74:12-18: Object of class `FunctionType` has no attribute `how`
- Object of class `partial` has no attribute `how` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:80:12-20: Object of class `FunctionType` has no attribute `start`
- Object of class `partial` has no attribute `start` [missing-attribute]
+ ERROR ibis/tests/expr/test_window_frames.py:77:17-19: Argument `Literal[-5]` is not assignable to parameter `start` with type `WindowBoundary[Integer] | None` in function `ibis.expr.builders.WindowBuilder.rows` [bad-argument-type]
+ ERROR ibis/tests/expr/test_window_frames.py:77:21-24: Argument `Literal[-10]` is not assignable to parameter `end` with type `WindowBoundary[Integer] | None` in function `ibis.expr.builders.WindowBuilder.rows` [bad-argument-type]
+ ERROR ibis/tests/expr/test_window_frames.py:79:18-20: Argument `Literal[-5]` is not assignable to parameter `start` with type `WindowBoundary[Integer] | None` in function `ibis.expr.builders.WindowBuilder.rows` [bad-argument-type]
+ ERROR ibis/tests/expr/test_window_frames.py:79:22-24: Argument `Literal[-4]` is not assignable to parameter `end` with type `WindowBoundary[Integer] | None` in function `ibis.expr.builders.WindowBuilder.rows` [bad-argument-type]
- ERROR ibis/tests/expr/test_window_frames.py:81:12-18: Object of class `FunctionType` has no attribute `end`
- Object of class `partial` has no attribute `end` [missing-attribute]
+ ERROR ibis/tests/expr/test_window_frames.py:84:18-19: Argument `Literal[5]` is not assignable to parameter `start` with type `WindowBoundary[Integer] | None` in function `ibis.expr.builders.WindowBuilder.rows` [bad-argument-type]
- ERROR ibis/tests/expr/test_window_frames.py:82:12-18: Object of class `FunctionType` has no attribute `how`
- Object of class `partial` has no attribute `how` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:85:12-20: Object of class `FunctionType` has no attribute `start`
- Object of class `partial` has no attribute `start` [missing-attribute]
+ ERROR ibis/tests/expr/test_window_frames.py:89:24-26: Argument `Literal[10]` is not assignable to parameter `end` with type `WindowBoundary[Integer] | None` in function `ibis.expr.builders.WindowBuilder.rows` [bad-argument-type]
- ERROR ibis/tests/expr/test_window_frames.py:86:12-18: Object of class `FunctionType` has no attribute `end`
- Object of class `partial` has no attribute `end` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:87:12-18: Object of class `FunctionType` has no attribute `how`
- Object of class `partial` has no attribute `how` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:90:12-20: Object of class `FunctionType` has no attribute `start`
- Object of class `partial` has no attribute `start` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:91:12-18: Object of class `FunctionType` has no attribute `end`
- Object of class `partial` has no attribute `end` [missing-attribute]
+ ERROR ibis/tests/expr/test_window_frames.py:100:17-18: Argument `Literal[5]` is not assignable to parameter `start` with type `WindowBoundary[Integer] | None` in function `ibis.expr.builders.WindowBuilder.rows` [bad-argument-type]
+ ERROR ibis/tests/expr/test_window_frames.py:100:20-41: Argument `IntervalScalar` is not assignable to parameter `end` with type `WindowBoundary[Integer] | None` in function `ibis.expr.builders.WindowBuilder.rows` [bad-argument-type]
+ ERROR ibis/tests/expr/test_window_frames.py:102:17-38: Argument `IntervalScalar` is not assignable to parameter `start` with type `WindowBoundary[Integer] | None` in function `ibis.expr.builders.WindowBuilder.rows` [bad-argument-type]
+ ERROR ibis/tests/expr/test_window_frames.py:102:40-42: Argument `Literal[10]` is not assignable to parameter `end` with type `WindowBoundary[Integer] | None` in function `ibis.expr.builders.WindowBuilder.rows` [bad-argument-type]
+ ERROR ibis/tests/expr/test_window_frames.py:111:17-20: Missing argument `end` in function `ibis.expr.builders.WindowBuilder.range` [missing-argument]
+ ERROR ibis/tests/expr/test_window_frames.py:111:18-19: Argument `Literal[5]` is not assignable to parameter `start` with type `WindowBoundary[Interval | Numeric] | None` in function `ibis.expr.builders.WindowBuilder.range` [bad-argument-type]
+ ERROR ibis/tests/expr/test_window_frames.py:113:19-20: Argument `Literal[5]` is not assignable to parameter `start` with type `WindowBoundary[Interval | Numeric] | None` in function `ibis.expr.builders.WindowBuilder.range` [bad-argument-type]
+ ERROR ibis/tests/expr/test_window_frames.py:113:22-24: Argument `Literal[10]` is not assignable to parameter `end` with type `WindowBoundary[Interval | Numeric] | None` in function `ibis.expr.builders.WindowBuilder.range` [bad-argument-type]
- ERROR ibis/tests/expr/test_window_frames.py:92:12-18: Object of class `FunctionType` has no attribute `how`
- Object of class `partial` has no attribute `how` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:95:12-20: Object of class `FunctionType` has no attribute `start`
- Object of class `partial` has no attribute `start` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:96:12-18: Object of class `FunctionType` has no attribute `end`
- Object of class `partial` has no attribute `end` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:97:12-18: Object of class `FunctionType` has no attribute `how`
- Object of class `partial` has no attribute `how` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:115:12-20: Object of class `FunctionType` has no attribute `start`
- Object of class `partial` has no attribute `start` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:116:12-18: Object of class `FunctionType` has no attribute `end`
- Object of class `partial` has no attribute `end` [missing-attribute]
+ ERROR ibis/tests/expr/test_window_frames.py:119:19-21: Argument `Literal[-5]` is not assignable to parameter `start` with type `WindowBoundary[Interval | Numeric] | None` in function `ibis.expr.builders.WindowBuilder.range` [bad-argument-type]
+ ERROR ibis/tests/expr/test_window_frames.py:119:23-25: Argument `Literal[10]` is not assignable to parameter `end` with type `WindowBoundary[Interval | Numeric] | None` in function `ibis.expr.builders.WindowBuilder.range` [bad-argument-type]
- ERROR ibis/tests/expr/test_window_frames.py:117:12-18: Object of class `FunctionType` has no attribute `how`
- Object of class `partial` has no attribute `how` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:120:12-20: Object of class `FunctionType` has no attribute `start`
- Object of class `partial` has no attribute `start` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:121:12-18: Object of class `FunctionType` has no attribute `end`
- Object of class `partial` has no attribute `end` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:122:12-18: Object of class `FunctionType` has no attribute `how`
- Object of class `partial` has no attribute `how` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:128:12-20: Object of class `FunctionType` has no attribute `start`
- Object of class `partial` has no attribute `start` [missing-attribute]
+ ERROR ibis/tests/expr/test_window_frames.py:125:18-20: Argument `Literal[-5]` is not assignable to parameter `start` with type `WindowBoundary[Interval | Numeric] | None` in function `ibis.expr.builders.WindowBuilder.range` [bad-argument-type]
+ ERROR ibis/tests/expr/test_window_frames.py:125:22-25: Argument `Literal[-10]` is not assignable to parameter `end` with type `WindowBoundary[Interval | Numeric] | None` in function `ibis.expr.builders.WindowBuilder.range` [bad-argument-type]
+ ERROR ibis/tests/expr/test_window_frames.py:127:19-21: Argument `Literal[-5]` is not assignable to parameter `start` with type `WindowBoundary[Interval | Numeric] | None` in function `ibis.expr.builders.WindowBuilder.range` [bad-argument-type]
+ ERROR ibis/tests/expr/test_window_frames.py:127:23-25: Argument `Literal[-3]` is not assignable to parameter `end` with type `WindowBoundary[Interval | Numeric] | None` in function `ibis.expr.builders.WindowBuilder.range` [bad-argument-type]
- ERROR ibis/tests/expr/test_window_frames.py:129:12-18: Object of class `FunctionType` has no attribute `end`
- Object of class `partial` has no attribute `end` [missing-attribute]
+ ERROR ibis/tests/expr/test_window_frames.py:132:19-20: Argument `Literal[5]` is not assignable to parameter `start` with type `WindowBoundary[Interval | Numeric] | None` in function `ibis.expr.builders.WindowBuilder.range` [bad-argument-type]
- ERROR ibis/tests/expr/test_window_frames.py:130:12-18: Object of class `FunctionType` has no attribute `how`
- Object of class `partial` has no attribute `how` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:133:12-20: Object of class `FunctionType` has no attribute `start`
- Object of class `partial` has no attribute `start` [missing-attribute]
+ ERROR ibis/tests/expr/test_window_frames.py:137:25-27: Argument `Literal[10]` is not assignable to parameter `end` with type `WindowBoundary[Interval | Numeric] | None` in function `ibis.expr.builders.WindowBuilder.range` [bad-argument-type]
- ERROR ibis/tests/expr/test_window_frames.py:134:12-18: Object of class `FunctionType` has no attribute `end`
- Object of class `partial` has no attribute `end` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:135:12-18: Object of class `FunctionType` has no attribute `how`
- Object of class `partial` has no attribute `how` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:138:12-20: Object of class `FunctionType` has no attribute `start`
- Object of class `partial` has no attribute `start` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:139:12-18: Object of class `FunctionType` has no attribute `end`
- Object of class `partial` has no attribute `end` [missing-attribute]
+ ERROR ibis/tests/expr/test_window_frames.py:147:19-40: Argument `IntervalScalar` is not assignable to parameter `start` with type `WindowBoundary[Interval | Numeric] | None` in function `ibis.expr.builders.WindowBuilder.range` [bad-argument-type]
+ ERROR ibis/tests/expr/test_window_frames.py:147:42-63: Argument `IntervalScalar` is not assignable to parameter `end` with type `WindowBoundary[Interval | Numeric] | None` in function `ibis.expr.builders.WindowBuilder.range` [bad-argument-type]
- ERROR ibis/tests/expr/test_window_frames.py:140:12-18: Object of class `FunctionType` has no attribute `how`
- Object of class `partial` has no attribute `how` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:143:12-20: Object of class `FunctionType` has no attribute `start`
- Object of class `partial` has no attribute `start` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:144:12-18: Object of class `FunctionType` has no attribute `end`
- Object of class `partial` has no attribute `end` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:145:12-18: Object of class `FunctionType` has no attribute `how`
- Object of class `partial` has no attribute `how` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:148:12-20: Object of class `FunctionType` has no attribute `start`
- Object of class `partial` has no attribute `start` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:149:12-18: Object of class `FunctionType` has no attribute `end`
- Object of class `partial` has no attribute `end` [missing-attribute]
+ ERROR ibis/tests/expr/test_window_frames.py:152:19-41: Argument `IntervalValue` is not assignable to parameter `start` with type `WindowBoundary[Interval | Numeric] | None` in function `ibis.expr.builders.WindowBuilder.range` [bad-argument-type]
+ ERROR ibis/tests/expr/test_window_frames.py:152:43-64: Argument `IntervalScalar` is not assignable to parameter `end` with type `WindowBoundary[Interval | Numeric] | None` in function `ibis.expr.builders.WindowBuilder.range` [bad-argument-type]
- ERROR ibis/tests/expr/test_window_frames.py:150:12-18: Object of class `FunctionType` has no attribute `how`
- Object of class `partial` has no attribute `how` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:153:12-20: Object of class `FunctionType` has no attribute `start`
- Object of class `partial` has no attribute `start` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:154:12-18: Object of class `FunctionType` has no attribute `end`
- Object of class `partial` has no attribute `end` [missing-attribute]
+ ERROR ibis/tests/expr/test_window_frames.py:157:19-41: Argument `IntervalValue` is not assignable to parameter `start` with type `WindowBoundary[Interval | Numeric] | None` in function `ibis.expr.builders.WindowBuilder.range` [bad-argument-type]
+ ERROR ibis/tests/expr/test_window_frames.py:157:43-45: Argument `Literal[10]` is not assignable to parameter `end` with type `WindowBoundary[Interval | Numeric] | None` in function `ibis.expr.builders.WindowBuilder.range` [bad-argument-type]
- ERROR ibis/tests/expr/test_window_frames.py:155:12-18: Object of class `FunctionType` has no attribute `how`
- Object of class `partial` has no attribute `how` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:158:12-20: Object of class `FunctionType` has no attribute `start`
- Object of class `partial` has no attribute `start` [missing-attribute]
+ ERROR ibis/tests/expr/test_window_frames.py:163:20-21: Argument `Literal[5]` is not assignable to parameter `start` with type `WindowBoundary[Interval | Numeric] | None` in function `ibis.expr.builders.WindowBuilder.range` [bad-argument-type]
+ ERROR ibis/tests/expr/test_window_frames.py:163:23-48: Argument `IntervalScalar` is not assignable to parameter `end` with type `WindowBoundary[Interval | Numeric] | None` in function `ibis.expr.builders.WindowBuilder.range` [bad-argument-type]
- ERROR ibis/tests/expr/test_window_frames.py:160:12-18: Object of class `FunctionType` has no attribute `end`
- Object of class `partial` has no attribute `end` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:161:12-18: Object of class `FunctionType` has no attribute `how`
- Object of class `partial` has no attribute `how` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:165:12-21: Object of class `FunctionType` has no attribute `start`
- Object of class `partial` has no attribute `start` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:166:12-19: Object of class `FunctionType` has no attribute `end`
- Object of class `partial` has no attribute `end` [missing-attribute]
+ ERROR ibis/tests/expr/test_window_frames.py:173:27-28: Argument `Literal[5]` is not assignable to parameter `end` with type `WindowBoundary[Interval | Numeric] | None` in function `ibis.expr.builders.WindowBuilder.between` [bad-argument-type]
- ERROR ibis/tests/expr/test_window_frames.py:167:12-19: Object of class `FunctionType` has no attribute `how`
- Object of class `partial` has no attribute `how` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:174:12-20: Object of class `FunctionType` has no attribute `start`
- Object of class `partial` has no attribute `start` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:175:12-18: Object of class `FunctionType` has no attribute `end`
- Object of class `partial` has no attribute `end` [missing-attribute]
+ ERROR ibis/tests/expr/test_window_frames.py:178:21-22: Argument `Literal[1]` is not assignable to parameter `start` with type `WindowBoundary[Interval | Numeric] | None` in function `ibis.expr.builders.WindowBuilder.between` [bad-argument-type]
+ ERROR ibis/tests/expr/test_window_frames.py:178:24-25: Argument `Literal[3]` is not assignable to parameter `end` with type `WindowBoundary[Interval | Numeric] | None` in function `ibis.expr.builders.WindowBuilder.between` [bad-argument-type]
- ERROR ibis/tests/expr/test_window_frames.py:176:12-18: Object of class `FunctionType` has no attribute `how`
- Object of class `partial` has no attribute `how` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:179:12-20: Object of class `FunctionType` has no attribute `start`
- Object of class `partial` has no attribute `start` [missing-attribute]
- ERROR ibis/tests/expr/test_window_frames.py:180:12-18: Object of class `FunctionType` has no attribute `end`
- Object of class `partial` has no attribute `end` [missing-attribute]
+ ERROR ibis/tests/expr/test_window_frames.py:183:21-23: Argument `Literal[-1]` is not assignable to parameter `start` with type `WindowBoundary[Interval | Numeric] | None` in function `ibis.expr.builders.WindowBuilder.between` [bad-argument-type]
- ERROR ibis/tests/expr/test_window_frames.py:181:12-18: Object of class `FunctionType` has no attribute `how`
... (truncated 69 lines) ...
cki-lib (https://gitlab.com/cki-project/cki-lib)
- ERROR tests/test_retrying.py:62:26-52: Object of class `FunctionType` has no attribute `failed_count` [missing-attribute]
+ ERROR tests/test_retrying.py:62:26-52: Object of class `_lru_cache_wrapper` has no attribute `failed_count` [missing-attribute]
- ERROR tests/test_retrying.py:70:9-34: Object of class `FunctionType` has no attribute `__wrapped__` [missing-attribute]
+ ERROR tests/test_retrying.py:70:9-46: Object of class `FunctionType` has no attribute `cache_clear` [missing-attribute]
scikit-learn (https://github.com/scikit-learn/scikit-learn)
+ ERROR sklearn/calibration.py:480:31-50: Object of class `list` has no attribute `reshape` [missing-attribute]
+ ERROR sklearn/calibration.py:486:55-72: Object of class `list` has no attribute `dtype` [missing-attribute]
+ ERROR sklearn/calibration.py:735:39-54: Cannot index into `SparseABC` [bad-index]
+ ERROR sklearn/cluster/_affinity_propagation.py:517:37-74: Unary `-` is not supported on `None` [unsupported-operation]
+ ERROR sklearn/cluster/_agglomerative.py:672:13-37: Cannot set item in `None` [unsupported-operation]
+ ERROR sklearn/cluster/_birch.py:88:18-28: Object of class `NoneType` has no attribute `shape` [missing-attribute]
+ ERROR sklearn/cluster/_birch.py:90:37-48: Object of class `NoneType` has no attribute `argmax` [missing-attribute]
+ ERROR sklearn/cluster/_birch.py:91:30-51: `None` is not subscriptable [unsupported-operation]
+ ERROR sklearn/cluster/_kmeans.py:527:29-61: `/` is not supported between `None` and `Literal[2]` [unsupported-operation]
+ ERROR sklearn/cluster/_kmeans.py:574:33-69: `/` is not supported between `None` and `Literal[2]` [unsupported-operation]
+ ERROR sklearn/cluster/_spectral.py:760:13-31: Cannot unpack tuple[Unknown, Unknown, Unknown] | tuple[Unknown, Unknown, Unknown, Unknown] (of size 4) into 3 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_affinity_propagation.py:21:1-5: Cannot unpack tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown] | tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] (of size 3) into 2 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_affinity_propagation.py:37:9-79: Unary `-` is not supported on `None` [unsupported-operation]
+ ERROR sklearn/cluster/tests/test_affinity_propagation.py:37:30-38: Object of class `list` has no attribute `astype` [missing-attribute]
+ ERROR sklearn/cluster/tests/test_affinity_propagation.py:39:5-36: Cannot unpack tuple[Unknown, Unknown] | tuple[Unknown, Unknown, Unknown] (of size 3) into 2 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_affinity_propagation.py:52:9-46: Unary `-` is not supported on `None` [unsupported-operation]
+ ERROR sklearn/cluster/tests/test_affinity_propagation.py:73:9-46: Unary `-` is not supported on `None` [unsupported-operation]
+ ERROR sklearn/cluster/tests/test_affinity_propagation.py:93:5-22: Cannot unpack tuple[Unknown, Unknown] | tuple[Unknown, Unknown, Unknown] (of size 3) into 2 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_affinity_propagation.py:101:9-46: Unary `-` is not supported on `None` [unsupported-operation]
+ ERROR sklearn/cluster/tests/test_affinity_propagation.py:117:10-18: Object of class `list` has no attribute `astype` [missing-attribute]
+ ERROR sklearn/cluster/tests/test_affinity_propagation.py:131:19-22: Object of class `list` has no attribute `T` [missing-attribute]
+ ERROR sklearn/cluster/tests/test_affinity_propagation.py:155:9-46: Unary `-` is not supported on `None` [unsupported-operation]
+ ERROR sklearn/cluster/tests/test_affinity_propagation.py:159:9-39: Cannot unpack tuple[Unknown, Unknown] | tuple[Unknown, Unknown, Unknown] (of size 3) into 2 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_affinity_propagation.py:167:9-39: Cannot unpack tuple[Unknown, Unknown] | tuple[Unknown, Unknown, Unknown] (of size 3) into 2 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_affinity_propagation.py:176:9-39: Cannot unpack tuple[Unknown, Unknown] | tuple[Unknown, Unknown, Unknown] (of size 3) into 2 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_affinity_propagation.py:220:9-46: Unary `-` is not supported on `None` [unsupported-operation]
+ ERROR sklearn/cluster/tests/test_affinity_propagation.py:228:9-46: Unary `-` is not supported on `None` [unsupported-operation]
+ ERROR sklearn/cluster/tests/test_affinity_propagation.py:243:5-19: Cannot unpack tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown] | tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] (of size 3) into 2 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_birch.py:19:5-9: Cannot unpack tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown] | tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] (of size 3) into 2 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_birch.py:20:9-17: Object of class `list` has no attribute `astype` [missing-attribute]
+ ERROR sklearn/cluster/tests/test_birch.py:33:5-9: Cannot unpack tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown] | tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] (of size 3) into 2 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_birch.py:34:9-17: Object of class `list` has no attribute `astype` [missing-attribute]
+ ERROR sklearn/cluster/tests/test_birch.py:75:5-9: Cannot unpack tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown] | tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] (of size 3) into 2 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_birch.py:76:9-17: Object of class `list` has no attribute `astype` [missing-attribute]
+ ERROR sklearn/cluster/tests/test_birch.py:99:5-9: Cannot unpack tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown] | tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] (of size 3) into 2 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_birch.py:100:9-17: Object of class `list` has no attribute `astype` [missing-attribute]
+ ERROR sklearn/cluster/tests/test_birch.py:118:5-9: Cannot unpack tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown] | tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] (of size 3) into 2 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_birch.py:124:25-34: Cannot index into `list[Unknown]` [bad-index]
+ ERROR sklearn/cluster/tests/test_birch.py:137:5-9: Cannot unpack tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown] | tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] (of size 3) into 2 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_birch.py:138:9-17: Object of class `list` has no attribute `astype` [missing-attribute]
+ ERROR sklearn/cluster/tests/test_birch.py:162:5-9: Cannot unpack tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown] | tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] (of size 3) into 2 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_birch.py:163:9-17: Object of class `list` has no attribute `astype` [missing-attribute]
+ ERROR sklearn/cluster/tests/test_birch.py:176:5-9: Cannot unpack tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown] | tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] (of size 3) into 2 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_birch.py:183:5-9: Cannot unpack tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown] | tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] (of size 3) into 2 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_birch.py:193:5-9: Cannot unpack tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown] | tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] (of size 3) into 2 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_birch.py:196:30-38: Object of class `list` has no attribute `astype` [missing-attribute]
+ ERROR sklearn/cluster/tests/test_birch.py:202:9-73: Object of class `list` has no attribute `astype` [missing-attribute]
- ERROR sklearn/cluster/tests/test_hierarchical.py:88:9-49: Cannot unpack tuple[ndarray | Unknown, int, int | Any, None] | tuple[ndarray | Unknown, int, int | Any, None, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]]] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]], ndarray[tuple[Unknown], dtype[Unknown]] | ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] | tuple[Unknown, Unknown, Unknown, ndarray[tuple[Unknown], dtype[Unknown]]] | tuple[Unknown, Unknown, Unknown, ndarray[tuple[Unknown], dtype[Unknown]], Unknown] | Unknown (of size 5) into 4 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_feature_agglomeration.py:47:5-9: Cannot unpack tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown] | tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] (of size 3) into 2 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_hdbscan.py:27:1-5: Cannot unpack tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown] | tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] (of size 3) into 2 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_hdbscan.py:28:1-5: Type `None` is not iterable [not-iterable]
+ ERROR sklearn/cluster/tests/test_hdbscan.py:75:43-67: Cannot index into `list[Unknown]` [bad-index]
+ ERROR sklearn/cluster/tests/test_hdbscan.py:85:18-24: Object of class `NoneType` has no attribute `copy` [missing-attribute]
+ ERROR sklearn/cluster/tests/test_hdbscan.py:97:5-12: Cannot set item in `None` [unsupported-operation]
+ ERROR sklearn/cluster/tests/test_hdbscan.py:98:5-12: Cannot set item in `None` [unsupported-operation]
+ ERROR sklearn/cluster/tests/test_hdbscan.py:152:37-44: Object of class `list` has no attribute `shape` [missing-attribute]
+ ERROR sklearn/cluster/tests/test_hdbscan.py:153:37-44: Object of class `list` has no attribute `shape` [missing-attribute]
+ ERROR sklearn/cluster/tests/test_hdbscan.py:155:45-52: Object of class `list` has no attribute `shape` [missing-attribute]
+ ERROR sklearn/cluster/tests/test_hdbscan.py:210:43-63: Cannot index into `list[Unknown]` [bad-index]
+ ERROR sklearn/cluster/tests/test_hdbscan.py:220:58-65: Object of class `list` has no attribute `shape` [missing-attribute]
+ ERROR sklearn/cluster/tests/test_hdbscan.py:287:9-22: Cannot set item in `list[Unknown]` [unsupported-operation]
+ ERROR sklearn/cluster/tests/test_hdbscan.py:309:5-9: Cannot unpack tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown] | tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] (of size 3) into 2 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_hdbscan.py:320:26-33: Object of class `list` has no attribute `shape` [missing-attribute]
+ ERROR sklearn/cluster/tests/test_hdbscan.py:369:5-9: Cannot unpack tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown] | tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] (of size 3) into 2 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_hdbscan.py:469:5-16: Cannot set item in `list[Unknown]` [unsupported-operation]
+ ERROR sklearn/cluster/tests/test_hdbscan.py:483:5-9: Cannot unpack tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown] | tuple[list[Unknown] | ndarray[tuple[Unknown, Unknown], dtype[Unknown]] | Unknown, list[Unknown] | ndarray[tuple[Unknown]] | Unknown, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] (of size 3) into 2 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_hierarchical.py:88:9-49: Cannot unpack tuple[ndarray | Unknown, int, int | Any, None] | tuple[ndarray | Unknown, int, int | Any, None, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]]] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]], ndarray] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]], Unknown] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, None] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, None, ndarray[tuple[Any, ...], dtype[Unknown]]] | tuple[Unknown, Unknown, Unknown, ndarray[tuple[Unknown], dtype[Unknown]]] | tuple[Unknown, Unknown, Unknown, ndarray[tuple[Unknown], dtype[Unknown]], Unknown] (of size 5) into 4 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_hierarchical.py:111:17-52: Cannot unpack tuple[ndarray[tuple[Any, ...], dtype[Unknown]], Literal[1], int | Any, None] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], Literal[1], int | Any, None, ndarray[tuple[Any, ...], dtype[Unknown]]] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]]] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]], ndarray] (of size 5) into 4 values [bad-unpacking]
- ERROR sklearn/cluster/tests/test_hierarchical.py:119:21-56: Cannot unpack tuple[ndarray | Unknown, int, int | Any, None] | tuple[ndarray | Unknown, int, int | Any, None, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]]] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]], ndarray[tuple[Unknown], dtype[Unknown]] | ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] | tuple[Unknown, Unknown, Unknown, ndarray[tuple[Unknown], dtype[Unknown]]] | tuple[Unknown, Unknown, Unknown, ndarray[tuple[Unknown], dtype[Unknown]], Unknown] | Unknown (of size 5) into 4 values [bad-unpacking]
- ERROR sklearn/cluster/tests/test_hierarchical.py:133:9-44: Cannot unpack tuple[ndarray | Unknown, int, int | Any, None] | tuple[ndarray | Unknown, int, int | Any, None, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]]] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]], ndarray[tuple[Unknown], dtype[Unknown]] | ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] | tuple[Unknown, Unknown, Unknown, ndarray[tuple[Unknown], dtype[Unknown]]] | tuple[Unknown, Unknown, Unknown, ndarray[tuple[Unknown], dtype[Unknown]], Unknown] | Unknown (of size 5) into 4 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_hierarchical.py:119:21-56: Cannot unpack tuple[ndarray | Unknown, int, int | Any, None] | tuple[ndarray | Unknown, int, int | Any, None, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]]] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]], ndarray] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]], Unknown] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, None] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, None, ndarray[tuple[Any, ...], dtype[Unknown]]] | tuple[Unknown, Unknown, Unknown, ndarray[tuple[Unknown], dtype[Unknown]]] | tuple[Unknown, Unknown, Unknown, ndarray[tuple[Unknown], dtype[Unknown]], Unknown] (of size 5) into 4 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_hierarchical.py:133:9-44: Cannot unpack tuple[ndarray | Unknown, int, int | Any, None] | tuple[ndarray | Unknown, int, int | Any, None, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]]] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]], ndarray] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]], Unknown] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, None] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, None, ndarray[tuple[Any, ...], dtype[Unknown]]] | tuple[Unknown, Unknown, Unknown, ndarray[tuple[Unknown], dtype[Unknown]]] | tuple[Unknown, Unknown, Unknown, ndarray[tuple[Unknown], dtype[Unknown]], Unknown] (of size 5) into 4 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_hierarchical.py:224:40-60: Object of class `SparseABC` has no attribute `toarray`
+ Object of class `ndarray` has no attribute `toarray` [missing-attribute]
+ ERROR sklearn/cluster/tests/test_hierarchical.py:234:22-42: Object of class `SparseABC` has no attribute `toarray`
+ Object of class `ndarray` has no attribute `toarray` [missing-attribute]
- ERROR sklearn/cluster/tests/test_hierarchical.py:353:13-37: Cannot unpack tuple[ndarray | Unknown, int, int | Any, None] | tuple[ndarray | Unknown, int, int | Any, None, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]]] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]], ndarray[tuple[Unknown], dtype[Unknown]] | ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] | tuple[Unknown, Unknown, Unknown, ndarray[tuple[Unknown], dtype[Unknown]]] | tuple[Unknown, Unknown, Unknown, ndarray[tuple[Unknown], dtype[Unknown]], Unknown] | Unknown (of size 5) into 4 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_hierarchical.py:353:13-37: Cannot unpack tuple[ndarray | Unknown, int, int | Any, None] | tuple[ndarray | Unknown, int, int | Any, None, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]]] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]], ndarray] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]], Unknown] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, None] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, None, ndarray[tuple[Any, ...], dtype[Unknown]]] | tuple[Unknown, Unknown, Unknown, ndarray[tuple[Unknown], dtype[Unknown]]] | tuple[Unknown, Unknown, Unknown, ndarray[tuple[Unknown], dtype[Unknown]], Unknown] (of size 5) into 4 values [bad-unpacking]
- ERROR sklearn/cluster/tests/test_hierarchical.py:386:5-29: Cannot unpack tuple[ndarray | Unknown, int, int | Any, None] | tuple[ndarray | Unknown, int, int | Any, None, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]]] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]], ndarray[tuple[Unknown], dtype[Unknown]] | ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] | tuple[Unknown, Unknown, Unknown, ndarray[tuple[Unknown], dtype[Unknown]]] | tuple[Unknown, Unknown, Unknown, ndarray[tuple[Unknown], dtype[Unknown]], Unknown] (of size 5) into 4 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_hierarchical.py:386:5-29: Cannot unpack tuple[ndarray | Unknown, int, int | Any, None] | tuple[ndarray | Unknown, int, int | Any, None, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]]] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]], Unknown] | tuple[Unknown, Unknown, Unknown, ndarray[tuple[Unknown], dtype[Unknown]]] | tuple[Unknown, Unknown, Unknown, ndarray[tuple[Unknown], dtype[Unknown]], Unknown] (of size 5) into 4 values [bad-unpacking]
+ ERROR sklearn/cluster/tests/test_hierarchical.py:519:35-52: Argument `ndarray[tuple[Unknown], dtype[Unknown]] | ndarray | ndarray[tuple[Any, ...], dtype[Unknown]] | None` is not assignable to parameter `actual` with type `_NestedSequence[_SupportsArray[dtype[numpy.bool | number]]] | _NestedSequence[_SupportsArray[dtype[object_]]] | _NestedSequence[complex] | _SupportsArray[dtype[numpy.bool | number]] | _SupportsArray[dtype[object_]] | complex` in function `numpy.testing._private.utils.assert_array_almost_equal` [bad-argument-type]
+ ERROR sklearn/cluster/tests/test_hierarchical.py:519:54-69: Argument `ndarray[tuple[Unknown], dtype[Unknown]] | ndarray | ndarray[tuple[Any, ...], dtype[Unknown]] | None` is not assignable to parameter `desired` with type `_NestedSequence[_SupportsArray[dtype[numpy.bool | number]]] | _NestedSequence[_SupportsArray[dtype[object_]]] | _NestedSequence[complex] | _SupportsArray[dtype[numpy.bool | number]] | _SupportsArray[dtype[object_]] | complex` in function `numpy.testing._private.utils.assert_array_almost_equal` [bad-argument-type]
+ ERROR sklearn/cluster/tests/test_hierarchical.py:589:72-73: Index 4 out of range for tuple with 4 elements [bad-index]
+ ERROR sklearn/cluster/tests/test_hierarchical.py:590:70-71: Index 4 out of range for tuple with 4 elements [bad-index]
- ERROR sklearn/cluster/tests/test_hierarchical.py:752:9-60: Cannot unpack tuple[ndarray | Unknown, int, int | Any, None] | tuple[ndarray | Unknown, int, int | Any, None, ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]]] | tuple[ndarray[tuple[Any, ...], dtype[Unknown]], int, int | Any, ndarray[tuple[Unknown], dtype[Unknown]], ndarray[tuple[Unknown], dtype[Unknown]] | ndarray[tuple[Any, ...], dtype[Unknown]] | Unknown] | tuple[Unknown, Unknown, Unknown, ndarray[tuple[Unknown], dtype[Unknown]]] | tuple[Unknown, Unknown, Unknown, ndarray[tuple[Unknown], dtype[Unknown]], Unknown] | Unknown (of size 4) into 5 values [bad-unpacking]
... (truncated 2544 lines) ...
openlibrary (https://github.com/internetarchive/openlibrary)
- ERROR openlibrary/core/admin.py:103:73-86: Type `Coroutine[Unknown, Unknown, Unknown]` is not iterable [not-iterable]
- ERROR openlibrary/core/admin.py:139:78-86: Type `Coroutine[Unknown, Unknown, Unknown]` is not iterable [not-iterable]
- ERROR openlibrary/core/observations.py:600:16-40: Cannot index into `Coroutine[Unknown, Unknown, Unknown]` [bad-index]
- ERROR openlibrary/core/observations.py:601:32-56: Cannot index into `Coroutine[Unknown, Unknown, Unknown]` [bad-index]
- ERROR openlibrary/core/observations.py:602:17-41: Cannot index into `Coroutine[Unknown, Unknown, Unknown]` [bad-index]
- ERROR openlibrary/core/observations.py:604:24-48: Cannot index into `Coroutine[Unknown, Unknown, Unknown]` [bad-index]
- ERROR openlibrary/core/observations.py:1111:39-64: Cannot index into `Coroutine[Unknown, Unknown, Unknown]` [bad-index]
- ERROR openlibrary/core/observations.py:1112:40-65: Cannot index into `Coroutine[Unknown, Unknown, Unknown]` [bad-index]
- ERROR openlibrary/plugins/openlibrary/home.py:157:42-46: Argument `Coroutine[Unknown, Unknown, Unknown] | Unknown` is not assignable to parameter `seq` with type `SupportsLenAndGetItem[@_]` in function `random.Random.choice` [bad-argument-type]
- ERROR openlibrary/views/loanstats.py:126:5-17: Object of class `Coroutine` has no attribute `update` [missing-attribute]
+ ERROR openlibrary/views/loanstats.py:126:17-56: No matching overload found for function `typing.MutableMapping.update` called with arguments: (dict[str, dict[str, list[Unknown]]]) [no-matching-overload]
- ERROR openlibrary/views/loanstats.py:180:36-56: Cannot index into `Coroutine[Unknown, Unknown, Unknown]` [bad-index]
- ERROR openlibrary/views/loanstats.py:186:28-48: Cannot index into `Coroutine[Unknown, Unknown, Unknown]` [bad-index]
- ERROR openlibrary/views/loanstats.py:196:32-52: Cannot index into `Coroutine[Unknown, Unknown, Unknown]` [bad-index]
- ERROR openlibrary/views/loanstats.py:201:28-48: Cannot index into `Coroutine[Unknown, Unknown, Unknown]` [bad-index]
+ ERROR openlibrary/views/loanstats.py:181:29-40: Type `int` is not iterable [not-iterable]
+ ERROR openlibrary/views/loanstats.py:187:25-36: Type `int` is not iterable [not-iterable]
+ ERROR openlibrary/views/loanstats.py:197:25-36: Type `int` is not iterable [not-iterable]
+ ERROR openlibrary/views/loanstats.py:202:25-36: Type `int` is not iterable [not-iterable]
cloud-init (https://github.com/canonical/cloud-init)
- ERROR cloudinit/cmd/devel/net_convert.py:195:46-52: Argument `dict[str, int | list[dict[Unknown, Unknown]]] | dict[str, int | Unknown] | dict[Unknown, Unknown] | Unknown | None` is not assignable to parameter `net_config` with type `dict[Unknown, Unknown]` in function `cloudinit.net.network_state.parse_net_config_data` [bad-argument-type]
+ ERROR cloudinit/cmd/devel/net_convert.py:195:46-52: Argument `dict[str, int | list[dict[Unknown, Unknown]]] | dict[str, int | Unknown] | dict[Unknown, Unknown] | Any | None` is not assignable to parameter `net_config` with type `dict[Unknown, Unknown]` in function `cloudinit.net.network_state.parse_net_config_data` [bad-argument-type]
- ERROR cloudinit/config/cc_apt_configure.py:725:21-66: Argument `list[bytes | str]` is not assignable to parameter `args` with type `bytes | list[bytes] | list[str] | str` in function `cloudinit.subp.subp` [bad-argument-type]
- ERROR cloudinit/config/schema.py:1030:23-1032:14: `Unknown | None` is not assignable to variable `content` with type `str` [bad-assignment]
+ ERROR cloudinit/config/schema.py:1030:23-1032:14: `str | Unknown | None` is not assignable to variable `content` with type `str` [bad-assignment]
+ ERROR cloudinit/netinfo.py:355:16-20: Returned type `dict[str | Unknown, dict[str, bool | list[Unknown] | str]] | dict[Unknown, dict[str, Unknown]] | dict[Unknown, Unknown]` is not assignable to declared return type `dict[str, dict[str, Interface]]` [bad-return]
+ ERROR cloudinit/netinfo.py:376:12-16: Returned type `dict[str | Unknown, dict[str, bool | list[Unknown] | str]] | dict[Unknown, dict[str, Unknown]] | dict[Unknown, Unknown]` is not assignable to declared return type `dict[str, dict[str, Interface]]` [bad-return]
- ERROR cloudinit/sources/DataSourceConfigDrive.py:102:33-55: Argument `list[Mapping[Unknown, Unknown] | dict[str, Unknown] | dict[Unknown, Unknown] | int | str | Unknown]` is not assignable to parameter `sources` with type `Sequence[Mapping[Unknown, Unknown]]` in function `cloudinit.util.mergemanydict` [bad-argument-type]
+ ERROR cloudinit/sources/DataSourceConfigDrive.py:102:33-55: Argument `list[Mapping[Unknown, Unknown] | dict[str, dict[Unknown, Unknown] | Unknown] | dict[Unknown, Unknown] | int | str | Unknown]` is not assignable to parameter `sources` with type `Sequence[Mapping[Unknown, Unknown]]` in function `cloudinit.util.mergemanydict` [bad-argument-type]
- ERROR cloudinit/sources/DataSourceConfigDrive.py:138:29-56: `dict[str, Unknown] | int | str | Unknown | None` is not assignable to attribute `ec2_metadata` with type `str` [bad-assignment]
+ ERROR cloudinit/sources/DataSourceConfigDrive.py:138:29-56: `dict[str, dict[Unknown, Unknown] | Unknown] | int | str | Unknown | None` is not assignable to attribute `ec2_metadata` with type `str` [bad-assignment]
- ERROR cloudinit/sources/DataSourceConfigDrive.py:139:29-52: `dict[str, Unknown] | int | str | Unknown | None` is not assignable to attribute `userdata_raw` with type `bytes | str | None` [bad-assignment]
+ ERROR cloudinit/sources/DataSourceConfigDrive.py:139:29-52: `dict[str, dict[Unknown, Unknown] | Unknown] | int | str | Unknown | None` is not assignable to attribute `userdata_raw` with type `bytes | str | None` [bad-assignment]
- ERROR cloudinit/sources/DataSourceConfigDrive.py:141:26-52: No matching overload found for function `typing.MutableMapping.update` called with arguments: (dict[str, Unknown] | dict[Unknown, Unknown] | int | str | Unknown) [no-matching-overload]
+ ERROR cloudinit/sources/DataSourceConfigDrive.py:141:26-52: No matching overload found for function `typing.MutableMapping.update` called with arguments: (dict[str, dict[Unknown, Unknown] | Unknown] | dict[Unknown, Unknown] | int | str | Unknown) [no-matching-overload]
- ERROR cloudinit/sources/DataSourceConfigDrive.py:161:29-55: `dict[str, Unknown] | int | str | Unknown | None` is not assignable to attribute `network_json` with type `str | None` [bad-assignment]
+ ERROR cloudinit/sources/DataSourceConfigDrive.py:161:29-55: `dict[str, dict[Unknown, Unknown] | Unknown] | int | str | Unknown | None` is not assignable to attribute `network_json` with type `str | None` [bad-assignment]
- ERROR cloudinit/sources/DataSourceEc2.py:732:9-17: Class member `DataSourceEc2Local.get_data` overrides parent class `DataSourceEc2` in an inconsistent manner [bad-override]
+ ERROR cloudinit/sources/DataSourceEc2.py:590:45-597:14: Cannot set item in `dict[str, bytes]` [unsupported-operation]
+ ERROR cloudinit/sources/DataSourceEc2.py:606:47-78: Cannot set item in `dict[str, bytes]` [unsupported-operation]
+ ERROR cloudinit/sources/DataSourceEc2.py:614:53-64: Cannot set item in `dict[str, bytes]` [unsupported-operation]
+ ERROR cloudinit/sources/DataSourceSmartOS.py:519:29-33: Argument `Literal['\n']` is not assignable to parameter `sep` with type `Buffer | None` in function `bytes.split` [bad-argument-type]
+ ERROR cloudinit/sources/DataSourceSmartOS.py:684:61-67: Argument `Literal['b64-']` is not assignable to parameter `prefix` with type `Buffer | tuple[Buffer, ...]` in function `bytes.startswith` [bad-argument-type]
- ERROR cloudinit/sources/DataSourceSmartOS.py:716:40-50: Object of class `NoneType` has no attribute `encode` [missing-attribute]
+ ERROR cloudinit/sources/DataSourceSmartOS.py:716:40-50: Object of class `NoneType` has no attribute `encode`
+ Object of class `bytes` has no attribute `encode` [missing-attribute]
+ ERROR cloudinit/sources/helpers/openstack.py:242:33-246:14: Cannot set item in `dict[str, tuple[None, bool, (text: Unknown, root_types: tuple[type[dict]] | Unknown = ...) -> dict[Unknown, Unknown]]]` [unsupported-operation]
- ERROR doc/rtd/conf.py:332:13-80: `+=` is not supported between `LiteralString` and `None` [unsupported-operation]
+ ERROR doc/rtd/conf.py:332:13-80: `+=` is not supported between `str` and `None` [unsupported-operation]
- ERROR doc/rtd/conf.py:378:13-380:14: `+=` is not supported between `Literal['']` and `None` [unsupported-operation]
+ ERROR doc/rtd/conf.py:378:13-380:14: `+=` is not supported between `str` and `None` [unsupported-operation]
- ERROR tests/unittests/sources/test_configdrive.py:405:27-44: `dict[str, Unknown] | int | str` is not assignable to attribute `metadata` with type `dict[Unknown, Unknown]` [bad-assignment]
+ ERROR tests/unittests/sources/test_configdrive.py:405:27-44: `dict[str, dict[Unknown, Unknown] | Unknown] | int | str` is not assignable to attribute `metadata` with type `dict[Unknown, Unknown]` [bad-assignment]
- ERROR tests/unittests/sources/test_configdrive.py:446:27-32: `dict[str, Unknown] | int | str` is not assignable to attribute `metadata` with type `dict[Unknown, Unknown]` [bad-assignment]
+ ERROR tests/unittests/sources/test_configdrive.py:446:27-32: `dict[str, dict[Unknown, Unknown] | Unknown] | int | str` is not assignable to attribute `metadata` with type `dict[Unknown, Unknown]` [bad-assignment]
- ERROR tests/unittests/sources/test_configdrive.py:475:31-37: `dict[str, Unknown] | int | str` is not assignable to attribute `ec2_metadata` with type `str` [bad-assignment]
+ ERROR tests/unittests/sources/test_configdrive.py:475:31-37: `dict[str, dict[Unknown, Unknown] | Unknown] | int | str` is not assignable to attribute `ec2_metadata` with type `str` [bad-assignment]
- ERROR tests/unittests/sources/test_configdrive.py:476:27-32: `dict[str, Unknown] | int | str` is not assignable to attribute `metadata` with type `dict[Unknown, Unknown]` [bad-assignment]
+ ERROR tests/unittests/sources/test_configdrive.py:476:27-32: `dict[str, dict[Unknown, Unknown] | Unknown] | int | str` is not assignable to attribute `metadata` with type `dict[Unknown, Unknown]` [bad-assignment]
- ERROR tests/unittests/sources/test_configdrive.py:511:31-37: `dict[str, Unknown] | int | str` is not assignable to attribute `ec2_metadata` with type `str` [bad-assignment]
+ ERROR tests/unittests/sources/test_configdrive.py:511:31-37: `dict[str, dict[Unknown, Unknown] | Unknown] | int | str` is not assignable to attribute `ec2_metadata` with type `str` [bad-assignment]
- ERROR tests/unittests/sources/test_configdrive.py:512:27-32: `dict[str, Unknown] | int | str` is not assignable to attribute `metadata` with type `dict[Unknown, Unknown]` [bad-assignment]
+ ERROR tests/unittests/sources/test_configdrive.py:512:27-32: `dict[str, dict[Unknown, Unknown] | Unknown] | int | str` is not assignable to attribute `metadata` with type `dict[Unknown, Unknown]` [bad-assignment]
mitmproxy (https://github.com/mitmproxy/mitmproxy)
+ ERROR test/mitmproxy/addons/test_clientplayback.py:217:26-40: Argument `Literal['/nonexistent']` is not assignable to parameter `path` with type `Path` in function `mitmproxy.addons.clientplayback.ClientPlayback.load_file` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_core.py:35:22-33: Argument `Literal[':default:']` is not assignable to parameter `marker` with type `Marker` in function `mitmproxy.addons.core.Core.mark` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_core.py:39:26-35: Argument `Literal['invalid']` is not assignable to parameter `marker` with type `Marker` in function `mitmproxy.addons.core.Core.mark` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_core.py:142:25-26: Argument `str` is not assignable to parameter `path` with type `Path` in function `mitmproxy.addons.core.Core.options_save` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_core.py:144:29-32: Argument `Literal['/']` is not assignable to parameter `path` with type `Path` in function `mitmproxy.addons.core.Core.options_save` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_core.py:148:25-26: Argument `str` is not assignable to parameter `path` with type `Path` in function `mitmproxy.addons.core.Core.options_load` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_core.py:151:25-39: Argument `Literal['/nonexistent']` is not assignable to parameter `path` with type `Path` in function `mitmproxy.addons.core.Core.options_load` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_core.py:156:29-30: Argument `str` is not assignable to parameter `path` with type `Path` in function `mitmproxy.addons.core.Core.options_load` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_cut.py:165:30-48: Argument `list[str]` is not assignable to parameter `cuts` with type `CutSpec` in function `mitmproxy.addons.cut.Cut.cut` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_cut.py:166:30-48: Argument `list[str]` is not assignable to parameter `cuts` with type `CutSpec` in function `mitmproxy.addons.cut.Cut.cut` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_cut.py:167:30-46: Argument `list[str]` is not assignable to parameter `cuts` with type `CutSpec` in function `mitmproxy.addons.cut.Cut.cut` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_cut.py:168:30-46: Argument `list[str]` is not assignable to parameter `cuts` with type `CutSpec` in function `mitmproxy.addons.cut.Cut.cut` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_cut.py:169:30-46: Argument `list[str]` is not assignable to parameter `cuts` with type `CutSpec` in function `mitmproxy.addons.cut.Cut.cut` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_cut.py:170:30-45: Argument `list[str]` is not assignable to parameter `cuts` with type `CutSpec` in function `mitmproxy.addons.cut.Cut.cut` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_cut.py:171:30-49: Argument `list[str]` is not assignable to parameter `cuts` with type `CutSpec` in function `mitmproxy.addons.cut.Cut.cut` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_cut.py:172:30-56: Argument `list[str]` is not assignable to parameter `cuts` with type `CutSpec` in function `mitmproxy.addons.cut.Cut.cut` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_cut.py:173:30-57: Argument `list[str]` is not assignable to parameter `cuts` with type `CutSpec` in function `mitmproxy.addons.cut.Cut.cut` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_cut.py:175:30-54: Argument `list[str]` is not assignable to parameter `cuts` with type `CutSpec` in function `mitmproxy.addons.cut.Cut.cut` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_cut.py:176:30-49: Argument `list[str]` is not assignable to parameter `cuts` with type `CutSpec` in function `mitmproxy.addons.cut.Cut.cut` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_cut.py:177:30-50: Argument `list[str]` is not assignable to parameter `cuts` with type `CutSpec` in function `mitmproxy.addons.cut.Cut.cut` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_cut.py:178:30-66: Argument `list[str]` is not assignable to parameter `cuts` with type `CutSpec` in function `mitmproxy.addons.cut.Cut.cut` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_cut.py:179:30-37: Argument `list[str]` is not assignable to parameter `cuts` with type `CutSpec` in function `mitmproxy.addons.cut.Cut.cut` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_cut.py:181:34-46: Argument `list[str]` is not assignable to parameter `cuts` with type `CutSpec` in function `mitmproxy.addons.cut.Cut.cut` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_cut.py:185:30-49: Argument `list[str]` is not assignable to parameter `cuts` with type `CutSpec` in function `mitmproxy.addons.cut.Cut.cut` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_cut.py:186:30-54: Argument `list[str]` is not assignable to parameter `cuts` with type `CutSpec` in function `mitmproxy.addons.cut.Cut.cut` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_cut.py:192:34-52: Argument `list[str]` is not assignable to parameter `cuts` with type `CutSpec` in function `mitmproxy.addons.cut.Cut.cut` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_cut.py:193:34-53: Argument `list[str]` is not assignable to parameter `cuts` with type `CutSpec` in function `mitmproxy.addons.cut.Cut.cut` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_export.py:346:55-56: Argument `str` is not assignable to parameter `path` with type `Path` in function `mitmproxy.addons.export.Export.file` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_save.py:120:43-44: Argument `str` is not assignable to parameter `path` with type `Path` in function `mitmproxy.addons.save.Save.save` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_save.py:122:43-44: Argument `str` is not assignable to parameter `path` with type `Path` in function `mitmproxy.addons.save.Save.save` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_save.py:124:43-50: Argument `str` is not assignable to parameter `path` with type `Path` in function `mitmproxy.addons.save.Save.save` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_save.py:128:47-60: Argument `str` is not assignable to parameter `path` with type `Path` in function `mitmproxy.addons.save.Save.save` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_script.py:199:49-52: Argument `Literal['/']` is not assignable to parameter `path` with type `Path` in function `mitmproxy.addons.script.ScriptLoader.script_run` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_serverplayback.py:25:21-26: Argument `str` is not assignable to parameter `path` with type `Path` in function `mitmproxy.addons.serverplayback.ServerPlayback.load_file` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_serverplayback.py:28:25-39: Argument `Literal['/nonexistent']` is not assignable to parameter `path` with type `Path` in function `mitmproxy.addons.serverplayback.ServerPlayback.load_file` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_view.py:256:17-21: Argument `str` is not assignable to parameter `path` with type `Path` in function `mitmproxy.addons.view.View.load_file` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_view.py:258:17-21: Argument `str` is not assignable to parameter `path` with type `Path` in function `mitmproxy.addons.view.View.load_file` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_view.py:261:21-44: Argument `Literal['nonexistent_file_path']` is not assignable to parameter `path` with type `Path` in function `mitmproxy.addons.view.View.load_file` [bad-argument-type]
+ ERROR test/mitmproxy/addons/test_view.py:266:17-21: Argument `str` is not assignable to parameter `path` with type `Path` in function `mitmproxy.addons.view.View.load_file` [bad-argument-type]
+ ERROR test/mitmproxy/tools/web/test_static_viewer.py:66:43-66: Argument `str` is not assignable to parameter `path` with type `Path` in function `mitmproxy.addons.save.Save.save` [bad-argument-type]
bokeh (https://github.com/bokeh/bokeh)
+ ERROR src/bokeh/model/model.py:100:27-31: Cannot index into `Parameter` [bad-index]
+ ERROR src/bokeh/plotting/_decorators.py:51:77-81: Cannot index into `Parameter` [bad-index]
sphinx (https://github.com/sphinx-doc/sphinx)
+ ERROR sphinx/jinja2glue.py:203:46-53: Cannot set item in `dict[str, ((obj: Sized, /) -> int) | ((s: Any, /) -> Markup) | ((s: Any, /) -> str) | ((env: Environment, s: str, length: int = 255, killwords: bool = False, end: str = '...', leeway: int | None = None) -> str) | ((environment: Environment, obj: Any, name: str) -> Undefined | Any) | ((environment: Environment, s: str, width: int = 79, break_long_words: bool = True, wrapstring: str | None = None, break_on_hyphens: bool = True) -> str) | ((eval_ctx: EvalContext, d: Mapping[str, Any], autospace: bool = True) -> str) | ((eval_ctx: EvalContext, s: str, old: str, new: str, count: int | None = None) -> str) | ((eval_ctx: EvalContext, value: AsyncIterable[Any] | Iterable[Any], d: str = '', attribute: int | str | None = None) -> Coroutine[Unknown, Unknown, str]) | ((eval_ctx: EvalContext, value: str, trim_url_limit: int | None = None, nofollow: bool = False, target: str | None = None, rel: str | None = None, extra_schemes: Iterable[str] | None = None) -> str) | ((eval_ctx: EvalContext, value: Any, indent: int | None = None) -> Markup) | ((s: str) -> int) | ((s: str) -> str) | ((s: str, width: int | str = 4, first: bool = False, blank: bool = False) -> str) | ((value: HasHTML | str) -> Markup) | ((value: HasHTML | str) -> str) | ((value: Iterable[tuple[str, Any]] | Mapping[str, Any] | str) -> str) | ((value: float | int | str, binary: bool = False) -> str) | ((value: float, precision: int = 0, method: Literal['ceil', 'common', 'floor'] = 'common') -> float) | ((value: str) -> Markup) | ((value: str, chars: str | None = None) -> str) | ((value: str, width: int = 80) -> str) | ((value: str, *args: Any, **kwargs: Any) -> str) | ((value: Any) -> str) | ((value: Any, default: float = ...) -> float) | ((value: Any, default: int = 0, base: int = 10) -> int) | Overload[(context: Context, value: AsyncIterable[Any] | Iterable[Any], name: str, *args: Any, **kwargs: Any) -> Iterable[Any], (context: Context, value: AsyncIterable[Any] | Iterable[Any], *, attribute: str = ..., default: Any | None = None) -> Iterable[Any]] | Overload[(value: str) -> str, [V](value: Iterable[Unknown]) -> Iterable[Unknown]] | [K, V](value: Mapping[K, V], case_sensitive: bool = False, by: Literal['key', 'value'] = 'key', reverse: bool = False) -> list[tuple[K, V]] | [K, V](value: Mapping[K, V] | Undefined) -> Iterator[tuple[K, V]] | [V](value: Iterable[V], linecount: int, fill_with: V | None = None) -> Iterator[list[V]] | [V](value: V, default_value: V = ..., boolean: bool = False) -> V | [V, V](environment: Environment, seq: AsyncIterable[V] | Iterable[V]) -> Coroutine[Unknown, Unknown, Undefined | V] | [V, V](environment: Environment, value: AsyncIterable[V] | Iterable[V], attribute: int | str, default: Any | None = None, case_sensitive: bool = False) -> Coroutine[Unknown, Unknown, list[_GroupTuple]] | [V](environment: Environment, seq: Reversible[V]) -> Undefined | V | [V, V](value: AsyncIterable[V] | Iterable[V]) -> Coroutine[Unknown, Unknown, list[V]] | [V](environment: Environment, value: Iterable[V], case_sensitive: bool = False, attribute: int | str | None = None) -> Undefined | V | [V](context: Context, seq: Sequence[V]) -> Undefined | V | [V, V](context: Context, value: AsyncIterable[V] | Iterable[V], *args: Any, **kwargs: Any) -> Coroutine[Unknown, Unknown, AsyncIterator[V]] | [V, V](value: AsyncIterable[V] | Iterable[V], slices: int, fill_with: Any | None = None) -> Coroutine[Unknown, Unknown, Iterator[list[V]]] | [V](environment: Environment, value: Iterable[V], reverse: bool = False, case_sensitive: bool = False, attribute: int | str | None = None) -> list[V] | [V, V](environment: Environment, iterable: AsyncIterable[V] | Iterable[V], attribute: int | str | None = None, start: V = ...) -> Coroutine[Unknown, Unknown, V] | [V, V](environment: Environment, value: AsyncIterable[V] | Iterable[V], case_sensitive: bool = False, attribute: int | str | None = None) -> Coroutine[Unknown, Unknown, Iterator[V]] | [_T](x: SupportsAbs[_T], /) -> _T]` [unsupported-operation]
+ ERROR sphinx/jinja2glue.py:204:45-51: Cannot set item in `dict[str, ((obj: Sized, /) -> int) | ((s: Any, /) -> Markup) | ((s: Any, /) -> str) | ((env: Environment, s: str, length: int = 255, killwords: bool = False, end: str = '...', leeway: int | None = None) -> str) | ((environment: Environment, obj: Any, name: str) -> Undefined | Any) | ((environment: Environment, s: str, width: int = 79, break_long_words: bool = True, wrapstring: str | None = None, break_on_hyphens: bool = True) -> str) | ((eval_ctx: EvalContext, d: Mapping[str, Any], autospace: bool = True) -> str) | ((eval_ctx: EvalContext, s: str, old: str, new: str, count: int | None = None) -> str) | ((eval_ctx: EvalContext, value: AsyncIterable[Any] | Iterable[Any], d: str = '', attribute: int | str | None = None) -> Coroutine[Unknown, Unknown, str]) | ((eval_ctx: EvalContext, value: str, trim_url_limit: int | None = None, nofollow: bool = False, target: str | None = None, rel: str | None = None, extra_schemes: Iterable[str] | None = None) -> str) | ((eval_ctx: EvalContext, value: Any, indent: int | None = None) -> Markup) | ((s: str) -> int) | ((s: str) -> str) | ((s: str, width: int | str = 4, first: bool = False, blank: bool = False) -> str) | ((value: HasHTML | str) -> Markup) | ((value: HasHTML | str) -> str) | ((value: Iterable[tuple[str, Any]] | Mapping[str, Any] | str) -> str) | ((value: float | int | str, binary: bool = False) -> str) | ((value: float, precision: int = 0, method: Literal['ceil', 'common', 'floor'] = 'common') -> float) | ((value: str) -> Markup) | ((value: str, chars: str | None = None) -> str) | ((value: str, width: int = 80) -> str) | ((value: str, *args: Any, **kwargs: Any) -> str) | ((value: Any) -> str) | ((value: Any, default: float = ...) -> float) | ((value: Any, default: int = 0, base: int = 10) -> int) | Overload[(context: Context, value: AsyncIterable[Any] | Iterable[Any], name: str, *args: Any, **kwargs: Any) -> Iterable[Any], (context: Context, value: AsyncIterable[Any] | Iterable[Any], *, attribute: str = ..., default: Any | None = None) -> Iterable[Any]] | Overload[(value: str) -> str, [V](value: Iterable[Unknown]) -> Iterable[Unknown]] | [K, V](value: Mapping[K, V], case_sensitive: bool = False, by: Literal['key', 'value'] = 'key', reverse: bool = False) -> list[tuple[K, V]] | [K, V](value: Mapping[K, V] | Undefined) -> Iterator[tuple[K, V]] | [V](value: Iterable[V], linecount: int, fill_with: V | None = None) -> Iterator[list[V]] | [V](value: V, default_value: V = ..., boolean: bool = False) -> V | [V, V](environment: Environment, seq: AsyncIterable[V] | Iterable[V]) -> Coroutine[Unknown, Unknown, Undefined | V] | [V, V](environment: Environment, value: AsyncIterable[V] | Iterable[V], attribute: int | str, default: Any | None = None, case_sensitive: bool = False) -> Coroutine[Unknown, Unknown, list[_GroupTuple]] | [V](environment: Environment, seq: Reversible[V]) -> Undefined | V | [V, V](value: AsyncIterable[V] | Iterable[V]) -> Coroutine[Unknown, Unknown, list[V]] | [V](environment: Environment, value: Iterable[V], case_sensitive: bool = False, attribute: int | str | None = None) -> Undefined | V | [V](context: Context, seq: Sequence[V]) -> Undefined | V | [V, V](context: Context, value: AsyncIterable[V] | Iterable[V], *args: Any, **kwargs: Any) -> Coroutine[Unknown, Unknown, AsyncIterator[V]] | [V, V](value: AsyncIterable[V] | Iterable[V], slices: int, fill_with: Any | None = None) -> Coroutine[Unknown, Unknown, Iterator[list[V]]] | [V](environment: Environment, value: Iterable[V], reverse: bool = False, case_sensitive: bool = False, attribute: int | str | None = None) -> list[V] | [V, V](environment: Environment, iterable: AsyncIterable[V] | Iterable[V], attribute: int | str | None = None, start: V = ...) -> Coroutine[Unknown, Unknown, V] | [V, V](environment: Environment, value: AsyncIterable[V] | Iterable[V], case_sensitive: bool = False, attribute: int | str | None = None) -> Coroutine[Unknown, Unknown, Iterator[V]] | [_T](x: SupportsAbs[_T], /) -> _T]` [unsupported-operation]
+ ERROR sphinx/jinja2glue.py:206:51-63: Cannot set item in `dict[str, ((obj: Sized, /) -> int) | ((s: Any, /) -> Markup) | ((s: Any, /) -> str) | ((env: Environment, s: str, length: int = 255, killwords: bool = False, end: str = '...', leeway: int | None = None) -> str) | ((environment: Environment, obj: Any, name: str) -> Undefined | Any) | ((environment: Environment, s: str, width: int = 79, break_long_words: bool = True, wrapstring: str | None = None, break_on_hyphens: bool = True) -> str) | ((eval_ctx: EvalContext, d: Mapping[str, Any], autospace: bool = True) -> str) | ((eval_ctx: EvalContext, s: str, old: str, new: str, count: int | None = None) -> str) | ((eval_ctx: EvalContext, value: AsyncIterable[Any] | Iterable[Any], d: str = '', attribute: int | str | None = None) -> Coroutine[Unknown, Unknown, str]) | ((eval_ctx: EvalContext, value: str, trim_url_limit: int | None = None, nofollow: bool = False, target: str | None = None, rel: str | None = None, extra_schemes: Iterable[str] | None = None) -> str) | ((eval_ctx: EvalContext, value: Any, indent: int | None = None) -> Markup) | ((s: str) -> int) | ((s: str) -> str) | ((s: str, width: int | str = 4, first: bool = False, blank: bool = False) -> str) | ((value: HasHTML | str) -> Markup) | ((value: HasHTML | str) -> str) | ((value: Iterable[tuple[str, Any]] | Mapping[str, Any] | str) -> str) | ((value: float | int | str, binary: bool = False) -> str) | ((value: float, precision: int = 0, method: Literal['ceil', 'common', 'floor'] = 'common') -> float) | ((value: str) -> Markup) | ((value: str, chars: str | None = None) -> str) | ((value: str, width: int = 80) -> str) | ((value: str, *args: Any, **kwargs: Any) -> str) | ((value: Any) -> str) | ((value: Any, default: float = ...) -> float) | ((value: Any, default: int = 0, base: int = 10) -> int) | Overload[(context: Context, value: AsyncIterable[Any] | Iterable[Any], name: str, *args: Any, **kwargs: Any) -> Iterable[Any], (context: Context, value: AsyncIterable[Any] | Iterable[Any], *, attribute: str = ..., default: Any | None = None) -> Iterable[Any]] | Overload[(value: str) -> str, [V](value: Iterable[Unknown]) -> Iterable[Unknown]] | [K, V](value: Mapping[K, V], case_sensitive: bool = False, by: Literal['key', 'value'] = 'key', reverse: bool = False) -> list[tuple[K, V]] | [K, V](value: Mapping[K, V] | Undefined) -> Iterator[tuple[K, V]] | [V](value: Iterable[V], linecount: int, fill_with: V | None = None) -> Iterator[list[V]] | [V](value: V, default_value: V = ..., boolean: bool = False) -> V | [V, V](environment: Environment, seq: AsyncIterable[V] | Iterable[V]) -> Coroutine[Unknown, Unknown, Undefined | V] | [V, V](environment: Environment, value: AsyncIterable[V] | Iterable[V], attribute: int | str, default: Any | None = None, case_sensitive: bool = False) -> Coroutine[Unknown, Unknown, list[_GroupTuple]] | [V](environment: Environment, seq: Reversible[V]) -> Undefined | V | [V, V](value: AsyncIterable[V] | Iterable[V]) -> Coroutine[Unknown, Unknown, list[V]] | [V](environment: Environment, value: Iterable[V], case_sensitive: bool = False, attribute: int | str | None = None) -> Undefined | V | [V](context: Context, seq: Sequence[V]) -> Undefined | V | [V, V](context: Context, value: AsyncIterable[V] | Iterable[V], *args: Any, **kwargs: Any) -> Coroutine[Unknown, Unknown, AsyncIterator[V]] | [V, V](value: AsyncIterable[V] | Iterable[V], slices: int, fill_with: Any | None = None) -> Coroutine[Unknown, Unknown, Iterator[list[V]]] | [V](environment: Environment, value: Iterable[V], reverse: bool = False, case_sensitive: bool = False, attribute: int | str | None = None) -> list[V] | [V, V](environment: Environment, iterable: AsyncIterable[V] | Iterable[V], attribute: int | str | None = None, start: V = ...) -> Coroutine[Unknown, Unknown, V] | [V, V](environment: Environment, value: AsyncIterable[V] | Iterable[V], case_sensitive: bool = False, attribute: int | str | None = None) -> Coroutine[Unknown, Unknown, Iterator[V]] | [_T](x: SupportsAbs[_T], /) -> _T]` [unsupported-operation]
jinja (https://github.com/pallets/jinja)
+ ERROR src/jinja2/filters.py:1501:5-11: Overload return type `Iterable[Any]` is not assignable to implementation return type `AsyncIterable[Any]` [inconsistent-overload]
+ ERROR src/jinja2/filters.py:1511:5-11: Overload return type `Iterable[Any]` is not assignable to implementation return type `AsyncIterable[Any]` [inconsistent-overload]
|
Primer Diff Classification❌ 3 regression(s) | ✅ 4 improvement(s) | ➖ 1 neutral | ❓ 1 needs review | 9 project(s) total | +2503, -95 errors 3 regression(s) across scikit-learn, cloud-init, bokeh. error kinds:
Detailed analysis❌ Regression (3)scikit-learn (+2351, -58)
cloud-init (+23, -18)
bokeh (+2)
✅ Improvement (4)ibis (+75, -3)
openlibrary (+5, -14)
mitmproxy (+40)
jinja (+2)
➖ Neutral (1)cki-lib (+2, -2)
❓ Needs Review (1)sphinx (+3)
Suggested fixesSummary: The unannotated passthrough decorator heuristic is being applied too broadly, causing type inference regressions in scikit-learn, cloud-init, and bokeh. 1. In
2. In
Was this helpful? React with 👍 or 👎 Classification by primer-classifier (1 heuristic, 8 LLM) |
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Summary:
Pyrefly was emitting a false positive
bad-argument-counterror when a function was decorated with a "dual-use" decorator — one that can be used as bothdecsanddecs(flag). This pattern is common in libraries like click, celery, and flask, as well as in application code.The root cause is that Pyrefly infers the return type of such decorators as a union of all return paths. For example, a decorator like
optional_debugthat returns eitherdecorator(func_or_flag)(a passthrough wrapper) ordecorator(the factory function) gets a union type ofwrapper | decorator. When the decorated function is called, thedecoratorbranch of the union rejects the arguments (wrong arity), producing a spurious error even though thewrapperbranch accepts them.The fix adapts pyright's unannotated decorator passthrough heuristic: when a decorator call returns a callable (or a union containing one) that has only
*args/**kwargsparameters with all implicitAnytypes and an implicitAnyreturn — the hallmark of an unannotated passthrough wrapper — we preserve the original decorated function's type instead. This is sound because such a wrapper provides no type information; preserving the original signature is strictly more informative.Changes:
Callable::is_unannotated_passthrough()to detect the(*args, **kwargs) -> UnknownpatternType::is_unannotated_passthrough()as a convenience wrapper for Function/Callable variantsapply_function_decoratorto handle direct passthrough and union-containing-passthrough casesFixes #2621
Differential Revision: D96672235