polars/_utils/various.py:104: error: Incompatible return value type (got "numpy.bool[builtins.bool]", expected "builtins.bool")  [return-value]polars/_utils/various.py:[13](https://github.com/pola-rs/polars/actions/runs/12619806580/job/35164768145?pr=20549#step:6:14)0: error: Incompatible return value type (got "numpy.bool[builtins.bool]", expected "builtins.bool")  [return-value]polars/_utils/various.py:158: error: Incompatible return value type (got "numpy.bool[builtins.bool]", expected "builtins.bool")  [return-value]polars/series/series.py:[14](https://github.com/pola-rs/polars/actions/runs/12619806580/job/35164768145?pr=20549#step:6:15)39: error: Incompatible types in assignment (expression has type "str", variable has type "Literal['?', 'b', 'B', 'h', 'H', 'i', 'I', 'l', 'L', 'q', 'Q', 'e', 'f', 'd', 'g', 'F', 'D', 'G', 'O', 'S', 'a', 'U', 'V', 'M', 'm', 'c', 'T']")  [assignment]polars/series/series.py:4759: error: Unused "type: ignore" comment  [unused-ignore]polars/dataframe/frame.py:1902: error: No overload variant of "__setitem__" of "ndarray" matches argument types "str", "ndarray[Any, Any]"  [call-overload]polars/dataframe/frame.py:1902: note: Possible overload variants:polars/dataframe/frame.py:1902: note:     def __setitem__(self, SupportsIndex | slice[Any, Any, Any] | EllipsisType | _SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]]] | builtins.bool | int | _NestedSequence[builtins.bool | int] | None | tuple[SupportsIndex | slice[Any, Any, Any] | EllipsisType | _SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]]] | builtins.bool | int | _NestedSequence[builtins.bool | int] | None, ...], object, /) -> Nonepolars/dataframe/frame.py:1902: note:     def __setitem__(self, SupportsIndex | slice[Any, Any, Any] | EllipsisType | _SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]]] | builtins.bool | int | _NestedSequence[builtins.bool | int] | None | tuple[SupportsIndex | slice[Any, Any, Any] | EllipsisType | _SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]]] | builtins.bool | int | _NestedSequence[builtins.bool | int] | None, ...], SupportsInt | SupportsIndex | str | bytes | _NestedSequence[SupportsInt | SupportsIndex | str | bytes] | _SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]]] | builtins.bool | int | _NestedSequence[builtins.bool | int], /) -> Nonepolars/dataframe/frame.py:1902: note:     def __setitem__(self, SupportsIndex | slice[Any, Any, Any] | EllipsisType | _SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]]] | builtins.bool | int | _NestedSequence[builtins.bool | int] | None | tuple[SupportsIndex | slice[Any, Any, Any] | EllipsisType | _SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]]] | builtins.bool | int | _NestedSequence[builtins.bool | int] | None, ...], SupportsFloat | SupportsIndex | str | bytes | _NestedSequence[SupportsFloat | SupportsIndex | str | bytes | None] | <6 more items> | None, /) -> Nonepolars/dataframe/frame.py:1902: note:     def __setitem__(self, SupportsIndex | slice[Any, Any, Any] | EllipsisType | _SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]]] | builtins.bool | int | _NestedSequence[builtins.bool | int] | None | tuple[SupportsIndex | slice[Any, Any, Any] | EllipsisType | _SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]]] | builtins.bool | int | _NestedSequence[builtins.bool | int] | None, ...], SupportsComplex | SupportsFloat | SupportsIndex | str | bytes | <8 more items> | None, /) -> Nonepolars/dataframe/frame.py:1902: note:     def __setitem__(self, SupportsIndex | slice[Any, Any, Any] | EllipsisType | _SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]]] | builtins.bool | int | _NestedSequence[builtins.bool | int] | None | tuple[SupportsIndex | slice[Any, Any, Any] | EllipsisType | _SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]]] | builtins.bool | int | _NestedSequence[builtins.bool | int] | None, ...], timedelta | int | str | bytes | character[str | bytes] | number[Any, int | float | complex] | timedelta64[timedelta | int | None] | numpy.bool[builtins.bool] | _NestedSequence[timedelta | int | str | bytes | character[str | bytes] | number[Any, int | float | complex] | timedelta64[timedelta | int | None] | numpy.bool[builtins.bool] | None] | None, /) -> Nonepolars/dataframe/frame.py:1902: note:     def __setitem__(self, SupportsIndex | slice[Any, Any, Any] | EllipsisType | _SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]]] | builtins.bool | int | _NestedSequence[builtins.bool | int] | None | tuple[SupportsIndex | slice[Any, Any, Any] | EllipsisType | _SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]]] | builtins.bool | int | _NestedSequence[builtins.bool | int] | None, ...], date | int | str | bytes | character[str | bytes] | number[Any, int | float | complex] | datetime64[date | int | None] | numpy.bool[builtins.bool] | _NestedSequence[date | int | str | bytes | character[str | bytes] | number[Any, int | float | complex] | datetime64[date | int | None] | numpy.bool[builtins.bool] | None] | None, /) -> Nonepolars/dataframe/frame.py:1902: note:     def __setitem__(self, SupportsIndex | slice[Any, Any, Any] | EllipsisType | _SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]]] | builtins.bool | int | _NestedSequence[builtins.bool | int] | None | tuple[SupportsIndex | slice[Any, Any, Any] | EllipsisType | _SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]] | _NestedSequence[_SupportsArray[dtype[numpy.bool[builtins.bool]] | dtype[integer[Any]]]] | builtins.bool | int | _NestedSequence[builtins.bool | int] | None, ...], Buffer | _SupportsArray[dtype[Any]] | _NestedSequence[_SupportsArray[dtype[Any]]] | bool | int | float | complex | str | bytes | _NestedSequence[bool | int | float | complex | str | bytes], /) -> Nonetests/unit/interop/numpy/test_to_numpy_series.py:58: error: Non-overlapping equality check (left operand type: "str", right operand type: "list[Any]")  [comparison-overlap]tests/unit/interop/numpy/test_to_numpy_series.py:83: error: Non-overlapping equality check (left operand type: "str", right operand type: "list[Any]")  [comparison-overlap]tests/unit/interop/numpy/test_to_numpy_series.py:112: error: Non-overlapping equality check (left operand type: "str", right operand type: "list[int]")  [comparison-overlap]tests/unit/interop/numpy/test_to_numpy_series.py:114: error: Non-overlapping equality check (left operand type: "str", right operand type: "list[Any]")  [comparison-overlap]tests/unit/interop/numpy/test_to_numpy_series.py:124: error: Non-overlapping equality check (left operand type: "str", right operand type: "list[datetime]")  [comparison-overlap]tests/unit/interop/numpy/test_to_numpy_series.py:134: error: Non-overlapping equality check (left operand type: "list[Any]", right operand type: "str")  [comparison-overlap]tests/unit/interop/numpy/test_to_numpy_series.py:175: error: Non-overlapping equality check (left operand type: "str", right operand type: "list[int | None]")  [comparison-overlap]tests/unit/interop/numpy/test_to_numpy_series.py:177: error: Non-overlapping equality check (left operand type: "str", right operand type: "list[Any]")  [comparison-overlap]tests/unit/interop/numpy/test_to_numpy_series.py:187: error: Non-overlapping equality check (left operand type: "str", right operand type: "list[datetime | None]")  [comparison-overlap]tests/unit/interop/numpy/test_to_numpy_series.py:214: error: Non-overlapping equality check (left operand type: "str", right operand type: "list[Any]")  [comparison-overlap]tests/unit/interop/numpy/test_to_numpy_series.py:223: error: Non-overlapping equality check (left operand type: "list[Any]", right operand type: "str")  [comparison-overlap]tests/unit/interop/numpy/test_to_numpy_series.py:233: error: Non-overlapping equality check (left operand type: "list[Any]", right operand type: "str")  [comparison-overlap]tests/unit/interop/numpy/test_to_numpy_series.py:253: error: Non-overlapping equality check (left operand type: "str", right operand type: "list[list[str]]")  [comparison-overlap]tests/unit/interop/numpy/test_to_numpy_series.py:348: error: Non-overlapping equality check (left operand type: "str", right operand type: "list[Any]")  [comparison-overlap]tests/unit/interop/numpy/test_to_numpy_series.py:355: error: Non-overlapping equality check (left operand type: "str", right operand type: "list[int]")  [comparison-overlap]tests/unit/interop/numpy/test_to_numpy_series.py:367: error: Non-overlapping equality check (left operand type: "str", right operand type: "list[Any]")  [comparison-overlap]tests/unit/interop/numpy/test_to_numpy_series.py:379: error: Non-overlapping equality check (left operand type: "str", right operand type: "list[int]")  [comparison-overlap]tests/unit/interop/numpy/test_to_numpy_df.py:[16](https://github.com/pola-rs/polars/actions/runs/12619806580/job/35164768145?pr=20549#step:6:17)6: error: Non-overlapping equality check (left operand type: "str", right operand type: "list[list[Any]]")  [comparison-overlap]tests/unit/series/test_series.py:5[17](https://github.com/pola-rs/polars/actions/runs/12619806580/job/35164768145?pr=20549#step:6:18): error: Incompatible types in assignment (expression has type "list[Any] | str", variable has type "list[Any | None]")  [assignment]tests/unit/datatypes/test_temporal.py:290: error: No overload variant of "datetime64" matches argument types "datetime", "str"  [call-overload]tests/unit/datatypes/test_temporal.py:290: note: Possible overload variants:tests/unit/datatypes/test_temporal.py:290: note:     def [_DT64ItemT_co: date | int | None] __init__(self, datetime64[_DT64ItemT_co], /) -> datetime64[_DT64ItemT_co]tests/unit/datatypes/test_temporal.py:290: note:     def [_DT64ItemT_co: date | int | None, _AnyDT64Arg: (datetime, date, None)] __init__(self, _AnyDT64Arg, /) -> datetime64[_AnyDT64Arg]tests/unit/datatypes/test_temporal.py:290: note:     def [_DT64ItemT_co: date | int | None] __init__(self, Literal['NAT', 'NaT', 'nat', b'NAT', b'NaT', b'nat'] | None = ..., Literal['Y', 'M', b'Y', b'M', 'W', 'D', b'W', b'D', 'h', 'm', 's', 'ms', 'us', 'μs', b'h', b'm', b's', b'ms', b'us', 'ns', 'ps', 'fs', 'as', b'ns', b'ps', b'fs', b'as'] | tuple[Literal['Y', 'M', b'Y', b'M', 'W', 'D', b'W', b'D', 'h', 'm', 's', 'ms', 'us', 'μs', b'h', b'm', b's', b'ms', b'us', 'ns', 'ps', 'fs', 'as', b'ns', b'ps', b'fs', b'as'], SupportsIndex] = ..., /) -> datetime64[None]tests/unit/datatypes/test_temporal.py:290: note:     def [_DT64ItemT_co: date | int | None] __init__(self, Literal['NOW', 'now', b'NOW', b'now'], Literal['h', 'm', 's', 'ms', 'us', 'μs', b'h', b'm', b's', b'ms', b'us'] | tuple[Literal['h', 'm', 's', 'ms', 'us', 'μs', b'h', b'm', b's', b'ms', b'us'], SupportsIndex] = ..., /) -> datetime64[datetime]tests/unit/datatypes/test_temporal.py:290: note:     def [_DT64ItemT_co: date | int | None] __init__(self, Literal['TODAY', 'today', b'TODAY', b'today'] | _HasDateAttributes, Literal['Y', 'M', b'Y', b'M', 'W', 'D', b'W', b'D'] | tuple[Literal['Y', 'M', b'Y', b'M', 'W', 'D', b'W', b'D'], SupportsIndex] = ..., /) -> datetime64[date]tests/unit/datatypes/test_temporal.py:290: note:     def [_DT64ItemT_co: date | int | None] __init__(self, int | bytes | str | date, Literal['ns', 'ps', 'fs', 'as', b'ns', b'ps', b'fs', b'as'] | tuple[Literal['ns', 'ps', 'fs', 'as', b'ns', b'ps', b'fs', b'as'], SupportsIndex], /) -> datetime64[int]tests/unit/datatypes/test_temporal.py:290: note:     def [_DT64ItemT_co: date | int | None] __init__(self, int | bytes | str, Literal['h', 'm', 's', 'ms', 'us', 'μs', b'h', b'm', b's', b'ms', b'us'] | tuple[Literal['h', 'm', 's', 'ms', 'us', 'μs', b'h', b'm', b's', b'ms', b'us'], SupportsIndex], /) -> datetime64[datetime]tests/unit/datatypes/test_temporal.py:290: note:     def [_DT64ItemT_co: date | int | None] __init__(self, int | bytes | str, Literal['Y', 'M', b'Y', b'M', 'W', 'D', b'W', b'D'] | tuple[Literal['Y', 'M', b'Y', b'M', 'W', 'D', b'W', b'D'], SupportsIndex], /) -> datetime64[date]tests/unit/datatypes/test_temporal.py:290: note:     def [_DT64ItemT_co: date | int | None] __init__(self, bytes | str | None, Literal['Y', 'M', b'Y', b'M', 'W', 'D', b'W', b'D', 'h', 'm', 's', 'ms', 'us', 'μs', b'h', b'm', b's', b'ms', b'us', 'ns', 'ps', 'fs', 'as', b'ns', b'ps', b'fs', b'as'] | tuple[Literal['Y', 'M', b'Y', b'M', 'W', 'D', b'W', b'D', 'h', 'm', 's', 'ms', 'us', 'μs', b'h', b'm', b's', b'ms', b'us', 'ns', 'ps', 'fs', 'as', b'ns', b'ps', b'fs', b'as'], SupportsIndex] = ..., /) -> datetime64[_DT64ItemT_co]Found 26 errors in 7 files (checked 554 source files)