/opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/typing/tests/data/reveal
from typing import Any import numpy as np import numpy.typing as npt AR_LIKE_b: list[bool] AR_LIKE_u: list[np.uint32] AR_LIKE_i: list[int] AR_LIKE_f: list[float] AR_LIKE_c: list[complex] AR_LIKE_U: list[str] AR_o: npt.NDArray[np.object_] OUT_f: npt.NDArray[np.float64] reveal_type(np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_b)) # E: Any reveal_type(np.einsum("i,i->i", AR_o, AR_o)) # E: Any reveal_type(np.einsum("i,i->i", AR_LIKE_u, AR_LIKE_u)) # E: Any reveal_type(np.einsum("i,i->i", AR_LIKE_i, AR_LIKE_i)) # E: Any reveal_type(np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f)) # E: Any reveal_type(np.einsum("i,i->i", AR_LIKE_c, AR_LIKE_c)) # E: Any reveal_type(np.einsum("i,i->i", AR_LIKE_b, AR_LIKE_i)) # E: Any reveal_type(np.einsum("i,i,i,i->i", AR_LIKE_b, AR_LIKE_u, AR_LIKE_i, AR_LIKE_c)) # E: Any reveal_type(np.einsum("i,i->i", AR_LIKE_c, AR_LIKE_c, out=OUT_f)) # E: ndarray[Any, dtype[{float64}] reveal_type(np.einsum("i,i->i", AR_LIKE_U, AR_LIKE_U, dtype=bool, casting="unsafe", out=OUT_f)) # E: ndarray[Any, dtype[{float64}] reveal_type(np.einsum("i,i->i", AR_LIKE_f, AR_LIKE_f, dtype="c16")) # E: Any reveal_type(np.einsum("i,i->i", AR_LIKE_U, AR_LIKE_U, dtype=bool, casting="unsafe")) # E: Any reveal_type(np.einsum_path("i,i->i", AR_LIKE_b, AR_LIKE_b)) # E: Tuple[builtins.list[Any], builtins.str] reveal_type(np.einsum_path("i,i->i", AR_LIKE_u, AR_LIKE_u)) # E: Tuple[builtins.list[Any], builtins.str] reveal_type(np.einsum_path("i,i->i", AR_LIKE_i, AR_LIKE_i)) # E: Tuple[builtins.list[Any], builtins.str] reveal_type(np.einsum_path("i,i->i", AR_LIKE_f, AR_LIKE_f)) # E: Tuple[builtins.list[Any], builtins.str] reveal_type(np.einsum_path("i,i->i", AR_LIKE_c, AR_LIKE_c)) # E: Tuple[builtins.list[Any], builtins.str] reveal_type(np.einsum_path("i,i->i", AR_LIKE_b, AR_LIKE_i)) # E: Tuple[builtins.list[Any], builtins.str] reveal_type(np.einsum_path("i,i,i,i->i", AR_LIKE_b, AR_LIKE_u, AR_LIKE_i, AR_LIKE_c)) # E: Tuple[builtins.list[Any], builtins.str] reveal_type(np.einsum([[1, 1], [1, 1]], AR_LIKE_i, AR_LIKE_i)) # E: Any reveal_type(np.einsum_path([[1, 1], [1, 1]], AR_LIKE_i, AR_LIKE_i)) # E: Tuple[builtins.list[Any], builtins.str]
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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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