PATH:
opt
/
cloudlinux
/
venv
/
lib
/
python3.11
/
site-packages
/
numpy
/
typing
/
tests
/
data
/
reveal
from typing import Any import numpy as np AR_LIKE_b: list[bool] AR_LIKE_i: list[int] AR_LIKE_f: list[float] AR_LIKE_U: list[str] AR_i8: np.ndarray[Any, np.dtype[np.int64]] reveal_type(np.ndenumerate(AR_i8)) # E: ndenumerate[{int64}] reveal_type(np.ndenumerate(AR_LIKE_f)) # E: ndenumerate[{double}] reveal_type(np.ndenumerate(AR_LIKE_U)) # E: ndenumerate[str_] reveal_type(np.ndenumerate(AR_i8).iter) # E: flatiter[ndarray[Any, dtype[{int64}]]] reveal_type(np.ndenumerate(AR_LIKE_f).iter) # E: flatiter[ndarray[Any, dtype[{double}]]] reveal_type(np.ndenumerate(AR_LIKE_U).iter) # E: flatiter[ndarray[Any, dtype[str_]]] reveal_type(next(np.ndenumerate(AR_i8))) # E: Tuple[builtins.tuple[builtins.int, ...], {int64}] reveal_type(next(np.ndenumerate(AR_LIKE_f))) # E: Tuple[builtins.tuple[builtins.int, ...], {double}] reveal_type(next(np.ndenumerate(AR_LIKE_U))) # E: Tuple[builtins.tuple[builtins.int, ...], str_] reveal_type(iter(np.ndenumerate(AR_i8))) # E: ndenumerate[{int64}] reveal_type(iter(np.ndenumerate(AR_LIKE_f))) # E: ndenumerate[{double}] reveal_type(iter(np.ndenumerate(AR_LIKE_U))) # E: ndenumerate[str_] reveal_type(np.ndindex(1, 2, 3)) # E: numpy.ndindex reveal_type(np.ndindex((1, 2, 3))) # E: numpy.ndindex reveal_type(iter(np.ndindex(1, 2, 3))) # E: ndindex reveal_type(next(np.ndindex(1, 2, 3))) # E: builtins.tuple[builtins.int, ...] reveal_type(np.unravel_index([22, 41, 37], (7, 6))) # E: tuple[ndarray[Any, dtype[{intp}]], ...] reveal_type(np.unravel_index([31, 41, 13], (7, 6), order="F")) # E: tuple[ndarray[Any, dtype[{intp}]], ...] reveal_type(np.unravel_index(1621, (6, 7, 8, 9))) # E: tuple[{intp}, ...] reveal_type(np.ravel_multi_index([[1]], (7, 6))) # E: ndarray[Any, dtype[{intp}]] reveal_type(np.ravel_multi_index(AR_LIKE_i, (7, 6))) # E: {intp} reveal_type(np.ravel_multi_index(AR_LIKE_i, (7, 6), order="F")) # E: {intp} reveal_type(np.ravel_multi_index(AR_LIKE_i, (4, 6), mode="clip")) # E: {intp} reveal_type(np.ravel_multi_index(AR_LIKE_i, (4, 4), mode=("clip", "wrap"))) # E: {intp} reveal_type(np.ravel_multi_index((3, 1, 4, 1), (6, 7, 8, 9))) # E: {intp} reveal_type(np.mgrid[1:1:2]) # E: ndarray[Any, dtype[Any]] reveal_type(np.mgrid[1:1:2, None:10]) # E: ndarray[Any, dtype[Any]] reveal_type(np.ogrid[1:1:2]) # E: list[ndarray[Any, dtype[Any]]] reveal_type(np.ogrid[1:1:2, None:10]) # E: list[ndarray[Any, dtype[Any]]] reveal_type(np.index_exp[0:1]) # E: Tuple[builtins.slice] reveal_type(np.index_exp[0:1, None:3]) # E: Tuple[builtins.slice, builtins.slice] reveal_type(np.index_exp[0, 0:1, ..., [0, 1, 3]]) # E: Tuple[Literal[0]?, builtins.slice, builtins.ellipsis, builtins.list[builtins.int]] reveal_type(np.s_[0:1]) # E: builtins.slice reveal_type(np.s_[0:1, None:3]) # E: Tuple[builtins.slice, builtins.slice] reveal_type(np.s_[0, 0:1, ..., [0, 1, 3]]) # E: Tuple[Literal[0]?, builtins.slice, builtins.ellipsis, builtins.list[builtins.int]] reveal_type(np.ix_(AR_LIKE_b)) # E: tuple[ndarray[Any, dtype[bool_]], ...] reveal_type(np.ix_(AR_LIKE_i, AR_LIKE_f)) # E: tuple[ndarray[Any, dtype[{double}]], ...] reveal_type(np.ix_(AR_i8)) # E: tuple[ndarray[Any, dtype[{int64}]], ...] reveal_type(np.fill_diagonal(AR_i8, 5)) # E: None reveal_type(np.diag_indices(4)) # E: tuple[ndarray[Any, dtype[{int_}]], ...] reveal_type(np.diag_indices(2, 3)) # E: tuple[ndarray[Any, dtype[{int_}]], ...] reveal_type(np.diag_indices_from(AR_i8)) # E: tuple[ndarray[Any, dtype[{int_}]], ...]
[-] arraysetops.pyi
[open]
[-] lib_utils.pyi
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..
[-] ndarray_misc.pyi
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[-] numerictypes.pyi
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[-] stride_tricks.pyi
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[-] random.pyi
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[-] linalg.pyi
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[-] npyio.pyi
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[-] memmap.pyi
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[-] matrix.pyi
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[-] index_tricks.pyi
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[-] scalars.pyi
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[-] ufunclike.pyi
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[-] ndarray_conversion.pyi
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[-] arrayterator.pyi
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[-] constants.pyi
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[-] lib_function_base.pyi
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[-] einsumfunc.pyi
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[-] modules.pyi
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[-] flatiter.pyi
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[-] false_positives.pyi
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[-] array_constructors.pyi
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[-] testing.pyi
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[-] lib_version.pyi
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[-] twodim_base.pyi
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[-] ctypeslib.pyi
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[-] fromnumeric.pyi
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[-] fft.pyi
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[-] histograms.pyi
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[-] dtype.pyi
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[-] numeric.pyi
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[-] nested_sequence.pyi
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[-] lib_polynomial.pyi
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[-] nbit_base_example.pyi
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[-] datasource.pyi
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[-] chararray.pyi
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[-] comparisons.pyi
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[-] emath.pyi
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[-] type_check.pyi
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[-] warnings_and_errors.pyi
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[-] arrayprint.pyi
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[-] nditer.pyi
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[-] char.pyi
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