pandera (https://github.com/pandera-dev/pandera)
- pandera/engines/numpy_engine.py:52: note:     def astype(self, dtype: Literal['float', 'Float32', 'Float64', 'e', 'f2', '<f2', 'float16', 'half', 'f', 'f4', 'float32', 'single', 'd', 'f8', 'float64', 'double', 'float_', 'g', 'f16', 'float128', 'longdouble', 'longfloat', 'float[pyarrow]', 'double[pyarrow]', 'float16[pyarrow]', 'float32[pyarrow]', 'float64[pyarrow]'] | type[float] | Float32Dtype | Float64Dtype | type[floating[_16Bit]] | type[floating[_32Bit]] | type[floating[_64Bit]] | type[floating[_64Bit | _96Bit | _128Bit]], copy: bool = ..., errors: Literal['ignore', 'raise'] = ...) -> Series[float]
+ pandera/engines/numpy_engine.py:52: note:     def astype(self, dtype: Literal['float', 'Float32', 'Float64', 'e', 'f2', '<f2', 'float16', 'half', 'f', 'f4', 'float32', 'single', 'd', 'f8', 'float64', 'double', 'float_', 'g', 'f16', 'float128', 'longdouble', 'longfloat', 'float[pyarrow]', 'double[pyarrow]', 'float16[pyarrow]', 'float32[pyarrow]', 'float64[pyarrow]'] | type[float] | Float32Dtype | Float64Dtype | type[floating[_16Bit]] | type[floating[_32Bit]] | type[float64] | type[floating[_64Bit | _96Bit | _128Bit]], copy: bool = ..., errors: Literal['ignore', 'raise'] = ...) -> Series[float]
- pandera/engines/numpy_engine.py:52: note:     def astype(self, dtype: Literal['complex', 'F', 'c8', 'complex64', 'csingle', 'singlecomplex', 'D', 'c16', 'complex128', 'cdouble', 'cfloat', 'complex_', 'G', 'c32', 'complex256', 'clongdouble', 'clongfloat', 'longcomplex'] | type[complex] | type[complexfloating[_32Bit, _32Bit]] | type[complexfloating[_64Bit, _64Bit]] | type[complexfloating[_64Bit | _96Bit | _128Bit, _64Bit | _96Bit | _128Bit]], copy: bool = ..., errors: Literal['ignore', 'raise'] = ...) -> Series[complex]
+ pandera/engines/numpy_engine.py:52: note:     def astype(self, dtype: Literal['complex', 'F', 'c8', 'complex64', 'csingle', 'singlecomplex', 'D', 'c16', 'complex128', 'cdouble', 'cfloat', 'complex_', 'G', 'c32', 'complex256', 'clongdouble', 'clongfloat', 'longcomplex'] | type[complex] | type[complexfloating[_32Bit, _32Bit]] | type[complex128] | type[complexfloating[_64Bit | _96Bit | _128Bit, _64Bit | _96Bit | _128Bit]], copy: bool = ..., errors: Literal['ignore', 'raise'] = ...) -> Series[complex]

colour (https://github.com/colour-science/colour)
- colour/utilities/tests/test_array.py:751: error: Incompatible return value type (got "dtype[Any]", expected "numpy.bool[builtins.bool] | signedinteger[_8Bit] | signedinteger[_16Bit] | signedinteger[_32Bit] | signedinteger[_64Bit] | unsignedinteger[_8Bit] | unsignedinteger[_16Bit] | unsignedinteger[_32Bit] | unsignedinteger[_64Bit] | floating[_16Bit] | floating[_32Bit] | float64 | complexfloating[_32Bit, _32Bit] | complexfloating[_64Bit, _64Bit]")  [return-value]
+ colour/utilities/tests/test_array.py:751: error: Incompatible return value type (got "dtype[Any]", expected "numpy.bool[builtins.bool] | signedinteger[_8Bit] | signedinteger[_16Bit] | signedinteger[_32Bit] | signedinteger[_64Bit] | unsignedinteger[_8Bit] | unsignedinteger[_16Bit] | unsignedinteger[_32Bit] | unsignedinteger[_64Bit] | floating[_16Bit] | floating[_32Bit] | float64 | complexfloating[_32Bit, _32Bit] | complex128")  [return-value]