/opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/typing/tests/data/reveal
import numpy as np import numpy.typing as npt f8: np.float64 AR_f8: npt.NDArray[np.float64] AR_i8: npt.NDArray[np.int64] reveal_type(np.absolute.__doc__) # E: str reveal_type(np.absolute.types) # E: builtins.list[builtins.str] reveal_type(np.absolute.__name__) # E: Literal['absolute'] reveal_type(np.absolute.ntypes) # E: Literal[20] reveal_type(np.absolute.identity) # E: None reveal_type(np.absolute.nin) # E: Literal[1] reveal_type(np.absolute.nin) # E: Literal[1] reveal_type(np.absolute.nout) # E: Literal[1] reveal_type(np.absolute.nargs) # E: Literal[2] reveal_type(np.absolute.signature) # E: None reveal_type(np.absolute(f8)) # E: Any reveal_type(np.absolute(AR_f8)) # E: ndarray reveal_type(np.absolute.at(AR_f8, AR_i8)) # E: None reveal_type(np.add.__name__) # E: Literal['add'] reveal_type(np.add.ntypes) # E: Literal[22] reveal_type(np.add.identity) # E: Literal[0] reveal_type(np.add.nin) # E: Literal[2] reveal_type(np.add.nout) # E: Literal[1] reveal_type(np.add.nargs) # E: Literal[3] reveal_type(np.add.signature) # E: None reveal_type(np.add(f8, f8)) # E: Any reveal_type(np.add(AR_f8, f8)) # E: ndarray reveal_type(np.add.at(AR_f8, AR_i8, f8)) # E: None reveal_type(np.add.reduce(AR_f8, axis=0)) # E: Any reveal_type(np.add.accumulate(AR_f8)) # E: ndarray reveal_type(np.add.reduceat(AR_f8, AR_i8)) # E: ndarray reveal_type(np.add.outer(f8, f8)) # E: Any reveal_type(np.add.outer(AR_f8, f8)) # E: ndarray reveal_type(np.frexp.__name__) # E: Literal['frexp'] reveal_type(np.frexp.ntypes) # E: Literal[4] reveal_type(np.frexp.identity) # E: None reveal_type(np.frexp.nin) # E: Literal[1] reveal_type(np.frexp.nout) # E: Literal[2] reveal_type(np.frexp.nargs) # E: Literal[3] reveal_type(np.frexp.signature) # E: None reveal_type(np.frexp(f8)) # E: Tuple[Any, Any] reveal_type(np.frexp(AR_f8)) # E: Tuple[ndarray[Any, dtype[Any]], ndarray[Any, dtype[Any]]] reveal_type(np.divmod.__name__) # E: Literal['divmod'] reveal_type(np.divmod.ntypes) # E: Literal[15] reveal_type(np.divmod.identity) # E: None reveal_type(np.divmod.nin) # E: Literal[2] reveal_type(np.divmod.nout) # E: Literal[2] reveal_type(np.divmod.nargs) # E: Literal[4] reveal_type(np.divmod.signature) # E: None reveal_type(np.divmod(f8, f8)) # E: Tuple[Any, Any] reveal_type(np.divmod(AR_f8, f8)) # E: Tuple[ndarray[Any, dtype[Any]], ndarray[Any, dtype[Any]]] reveal_type(np.matmul.__name__) # E: Literal['matmul'] reveal_type(np.matmul.ntypes) # E: Literal[19] reveal_type(np.matmul.identity) # E: None reveal_type(np.matmul.nin) # E: Literal[2] reveal_type(np.matmul.nout) # E: Literal[1] reveal_type(np.matmul.nargs) # E: Literal[3] reveal_type(np.matmul.signature) # E: Literal['(n?,k),(k,m?)->(n?,m?)'] reveal_type(np.matmul.identity) # E: None reveal_type(np.matmul(AR_f8, AR_f8)) # E: Any reveal_type(np.matmul(AR_f8, AR_f8, axes=[(0, 1), (0, 1), (0, 1)])) # E: Any
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..
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arithmetic.pyi
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array_constructors.pyi
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arraypad.pyi
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arrayprint.pyi
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arraysetops.pyi
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arrayterator.pyi
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bitwise_ops.pyi
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char.pyi
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chararray.pyi
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comparisons.pyi
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constants.pyi
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ctypeslib.pyi
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datasource.pyi
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dtype.pyi
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einsumfunc.pyi
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emath.pyi
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false_positives.pyi
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fft.pyi
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flatiter.pyi
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fromnumeric.pyi
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getlimits.pyi
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histograms.pyi
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index_tricks.pyi
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lib_function_base.pyi
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lib_polynomial.pyi
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lib_utils.pyi
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lib_version.pyi
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linalg.pyi
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matrix.pyi
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memmap.pyi
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mod.pyi
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modules.pyi
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multiarray.pyi
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nbit_base_example.pyi
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ndarray_conversion.pyi
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ndarray_misc.pyi
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ndarray_shape_manipulation.pyi
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nditer.pyi
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nested_sequence.pyi
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npyio.pyi
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numeric.pyi
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numerictypes.pyi
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random.pyi
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rec.pyi
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scalars.pyi
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shape_base.pyi
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stride_tricks.pyi
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testing.pyi
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twodim_base.pyi
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type_check.pyi
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ufunc_config.pyi
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ufunclike.pyi
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ufuncs.pyi
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version.pyi
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warnings_and_errors.pyi
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