/opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/typing/tests/data/reveal
import numpy as np import numpy.typing as npt AR_b: npt.NDArray[np.bool_] AR_i8: npt.NDArray[np.int64] AR_f8: npt.NDArray[np.float64] AR_M: npt.NDArray[np.datetime64] AR_O: npt.NDArray[np.object_] AR_LIKE_f8: list[float] reveal_type(np.ediff1d(AR_b)) # E: ndarray[Any, dtype[{int8}]] reveal_type(np.ediff1d(AR_i8, to_end=[1, 2, 3])) # E: ndarray[Any, dtype[{int64}]] reveal_type(np.ediff1d(AR_M)) # E: ndarray[Any, dtype[timedelta64]] reveal_type(np.ediff1d(AR_O)) # E: ndarray[Any, dtype[object_]] reveal_type(np.ediff1d(AR_LIKE_f8, to_begin=[1, 1.5])) # E: ndarray[Any, dtype[Any]] reveal_type(np.intersect1d(AR_i8, AR_i8)) # E: ndarray[Any, dtype[{int64}]] reveal_type(np.intersect1d(AR_M, AR_M, assume_unique=True)) # E: ndarray[Any, dtype[datetime64]] reveal_type(np.intersect1d(AR_f8, AR_i8)) # E: ndarray[Any, dtype[Any]] reveal_type(np.intersect1d(AR_f8, AR_f8, return_indices=True)) # E: Tuple[ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[{intp}]], ndarray[Any, dtype[{intp}]]] reveal_type(np.setxor1d(AR_i8, AR_i8)) # E: ndarray[Any, dtype[{int64}]] reveal_type(np.setxor1d(AR_M, AR_M, assume_unique=True)) # E: ndarray[Any, dtype[datetime64]] reveal_type(np.setxor1d(AR_f8, AR_i8)) # E: ndarray[Any, dtype[Any]] reveal_type(np.in1d(AR_i8, AR_i8)) # E: ndarray[Any, dtype[bool_]] reveal_type(np.in1d(AR_M, AR_M, assume_unique=True)) # E: ndarray[Any, dtype[bool_]] reveal_type(np.in1d(AR_f8, AR_i8)) # E: ndarray[Any, dtype[bool_]] reveal_type(np.in1d(AR_f8, AR_LIKE_f8, invert=True)) # E: ndarray[Any, dtype[bool_]] reveal_type(np.isin(AR_i8, AR_i8)) # E: ndarray[Any, dtype[bool_]] reveal_type(np.isin(AR_M, AR_M, assume_unique=True)) # E: ndarray[Any, dtype[bool_]] reveal_type(np.isin(AR_f8, AR_i8)) # E: ndarray[Any, dtype[bool_]] reveal_type(np.isin(AR_f8, AR_LIKE_f8, invert=True)) # E: ndarray[Any, dtype[bool_]] reveal_type(np.union1d(AR_i8, AR_i8)) # E: ndarray[Any, dtype[{int64}]] reveal_type(np.union1d(AR_M, AR_M)) # E: ndarray[Any, dtype[datetime64]] reveal_type(np.union1d(AR_f8, AR_i8)) # E: ndarray[Any, dtype[Any]] reveal_type(np.setdiff1d(AR_i8, AR_i8)) # E: ndarray[Any, dtype[{int64}]] reveal_type(np.setdiff1d(AR_M, AR_M, assume_unique=True)) # E: ndarray[Any, dtype[datetime64]] reveal_type(np.setdiff1d(AR_f8, AR_i8)) # E: ndarray[Any, dtype[Any]] reveal_type(np.unique(AR_f8)) # E: ndarray[Any, dtype[{float64}]] reveal_type(np.unique(AR_LIKE_f8, axis=0)) # E: ndarray[Any, dtype[Any]] reveal_type(np.unique(AR_f8, return_index=True)) # E: Tuple[ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[{intp}]]] reveal_type(np.unique(AR_LIKE_f8, return_index=True)) # E: Tuple[ndarray[Any, dtype[Any]], ndarray[Any, dtype[{intp}]]] reveal_type(np.unique(AR_f8, return_inverse=True)) # E: Tuple[ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[{intp}]]] reveal_type(np.unique(AR_LIKE_f8, return_inverse=True)) # E: Tuple[ndarray[Any, dtype[Any]], ndarray[Any, dtype[{intp}]]] reveal_type(np.unique(AR_f8, return_counts=True)) # E: Tuple[ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[{intp}]]] reveal_type(np.unique(AR_LIKE_f8, return_counts=True)) # E: Tuple[ndarray[Any, dtype[Any]], ndarray[Any, dtype[{intp}]]] reveal_type(np.unique(AR_f8, return_index=True, return_inverse=True)) # E: Tuple[ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[{intp}]], ndarray[Any, dtype[{intp}]]] reveal_type(np.unique(AR_LIKE_f8, return_index=True, return_inverse=True)) # E: Tuple[ndarray[Any, dtype[Any]], ndarray[Any, dtype[{intp}]], ndarray[Any, dtype[{intp}]]] reveal_type(np.unique(AR_f8, return_index=True, return_counts=True)) # E: Tuple[ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[{intp}]], ndarray[Any, dtype[{intp}]]] reveal_type(np.unique(AR_LIKE_f8, return_index=True, return_counts=True)) # E: Tuple[ndarray[Any, dtype[Any]], ndarray[Any, dtype[{intp}]], ndarray[Any, dtype[{intp}]]] reveal_type(np.unique(AR_f8, return_inverse=True, return_counts=True)) # E: Tuple[ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[{intp}]], ndarray[Any, dtype[{intp}]]] reveal_type(np.unique(AR_LIKE_f8, return_inverse=True, return_counts=True)) # E: Tuple[ndarray[Any, dtype[Any]], ndarray[Any, dtype[{intp}]], ndarray[Any, dtype[{intp}]]] reveal_type(np.unique(AR_f8, return_index=True, return_inverse=True, return_counts=True)) # E: Tuple[ndarray[Any, dtype[{float64}]], ndarray[Any, dtype[{intp}]], ndarray[Any, dtype[{intp}]], ndarray[Any, dtype[{intp}]]] reveal_type(np.unique(AR_LIKE_f8, return_index=True, return_inverse=True, return_counts=True)) # E: Tuple[ndarray[Any, dtype[Any]], ndarray[Any, dtype[{intp}]], ndarray[Any, dtype[{intp}]], ndarray[Any, dtype[{intp}]]]
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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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