ꦫꦣꦺꦤ꧀ꦄꦤ꧀ꦠꦱꦺꦤ

PATH: 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_f8: npt.NDArray[np.float64]
AR_LIKE_f: list[float]
interface_dict: dict[str, Any]

reveal_type(np.lib.stride_tricks.DummyArray(interface_dict))  # E: lib.stride_tricks.DummyArray

reveal_type(np.lib.stride_tricks.as_strided(AR_f8))  # E: ndarray[Any, dtype[{float64}]]
reveal_type(np.lib.stride_tricks.as_strided(AR_LIKE_f))  # E: ndarray[Any, dtype[Any]]
reveal_type(np.lib.stride_tricks.as_strided(AR_f8, strides=(1, 5)))  # E: ndarray[Any, dtype[{float64}]]
reveal_type(np.lib.stride_tricks.as_strided(AR_f8, shape=[9, 20]))  # E: ndarray[Any, dtype[{float64}]]

reveal_type(np.lib.stride_tricks.sliding_window_view(AR_f8, 5))  # E: ndarray[Any, dtype[{float64}]]
reveal_type(np.lib.stride_tricks.sliding_window_view(AR_LIKE_f, (1, 5)))  # E: ndarray[Any, dtype[Any]]
reveal_type(np.lib.stride_tricks.sliding_window_view(AR_f8, [9], axis=1))  # E: ndarray[Any, dtype[{float64}]]

reveal_type(np.broadcast_to(AR_f8, 5))  # E: ndarray[Any, dtype[{float64}]]
reveal_type(np.broadcast_to(AR_LIKE_f, (1, 5)))  # E: ndarray[Any, dtype[Any]]
reveal_type(np.broadcast_to(AR_f8, [4, 6], subok=True))  # E: ndarray[Any, dtype[{float64}]]

reveal_type(np.broadcast_shapes((1, 2), [3, 1], (3, 2)))  # E: tuple[builtins.int, ...]
reveal_type(np.broadcast_shapes((6, 7), (5, 6, 1), 7, (5, 1, 7)))  # E: tuple[builtins.int, ...]

reveal_type(np.broadcast_arrays(AR_f8, AR_f8))  # E: list[ndarray[Any, dtype[Any]]]
reveal_type(np.broadcast_arrays(AR_f8, AR_LIKE_f))  # E: list[ndarray[Any, dtype[Any]]]

[-] arraysetops.pyi [open]
[-] lib_utils.pyi [open]
[+] ..
[-] ndarray_misc.pyi [open]
[-] numerictypes.pyi [open]
[-] stride_tricks.pyi [open]
[-] random.pyi [open]
[-] linalg.pyi [open]
[-] npyio.pyi [open]
[-] memmap.pyi [open]
[-] matrix.pyi [open]
[-] index_tricks.pyi [open]
[-] scalars.pyi [open]
[-] ufunclike.pyi [open]
[-] ndarray_conversion.pyi [open]
[-] arrayterator.pyi [open]
[-] constants.pyi [open]
[-] lib_function_base.pyi [open]
[-] einsumfunc.pyi [open]
[-] modules.pyi [open]
[-] flatiter.pyi [open]
[-] false_positives.pyi [open]
[-] array_constructors.pyi [open]
[-] testing.pyi [open]
[-] lib_version.pyi [open]
[-] twodim_base.pyi [open]
[-] ctypeslib.pyi [open]
[-] fromnumeric.pyi [open]
[-] fft.pyi [open]
[-] histograms.pyi [open]
[-] dtype.pyi [open]
[-] numeric.pyi [open]
[-] nested_sequence.pyi [open]
[-] lib_polynomial.pyi [open]
[-] nbit_base_example.pyi [open]
[-] datasource.pyi [open]
[-] chararray.pyi [open]
[-] comparisons.pyi [open]
[-] multiarray.pyi [open]
[-] ndarray_shape_manipulation.pyi [open]
[-] emath.pyi [open]
[-] type_check.pyi [open]
[-] rec.pyi [open]
[-] version.pyi [open]
[-] mod.pyi [open]
[-] warnings_and_errors.pyi [open]
[-] arithmetic.pyi [open]
[-] arraypad.pyi [open]
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[-] nditer.pyi [open]
[-] getlimits.pyi [open]
[-] ufunc_config.pyi [open]
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[-] char.pyi [open]
[-] shape_base.pyi [open]