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arithmetic.pyi	26.17 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
array_api_info.pyi	2.95 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
array_constructors.pyi	12.55 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
arraypad.pyi	653 B	-rw-r--r--	2025-10-22 11:54:13	Edit Del
arrayprint.pyi	777 B	-rw-r--r--	2025-10-22 11:54:13	Edit Del
arraysetops.pyi	4.31 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
arrayterator.pyi	1.01 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
bitwise_ops.pyi	4.55 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
char.pyi	11.2 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
chararray.pyi	5.08 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
comparisons.pyi	7.03 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
constants.pyi	333 B	-rw-r--r--	2025-10-22 11:54:13	Edit Del
ctypeslib.pyi	4.04 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
datasource.pyi	583 B	-rw-r--r--	2025-10-22 11:54:13	Edit Del
dtype.pyi	4.96 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
einsumfunc.pyi	1.88 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
emath.pyi	2.08 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
fft.pyi	1.56 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
flatiter.pyi	1.32 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
fromnumeric.pyi	14.71 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
getlimits.pyi	1.51 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
histograms.pyi	1.23 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
index_tricks.pyi	3.17 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
lib_function_base.pyi	9.88 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
lib_polynomial.pyi	5.53 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
lib_utils.pyi	436 B	-rw-r--r--	2025-10-22 11:54:13	Edit Del
lib_version.pyi	572 B	-rw-r--r--	2025-10-22 11:54:13	Edit Del
linalg.pyi	5.77 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
ma.pyi	15.84 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
matrix.pyi	2.97 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
memmap.pyi	719 B	-rw-r--r--	2025-10-22 11:54:13	Edit Del
mod.pyi	7.03 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
modules.pyi	1.81 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
multiarray.pyi	7.6 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
nbit_base_example.pyi	687 B	-rw-r--r--	2025-10-22 11:54:13	Edit Del
ndarray_assignability.pyi	2.61 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
ndarray_conversion.pyi	3.23 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
ndarray_misc.pyi	8.46 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
ndarray_shape_manipulation.pyi	1.36 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
nditer.pyi	1.85 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
nested_sequence.pyi	612 B	-rw-r--r--	2025-10-22 11:54:13	Edit Del
npyio.pyi	3.41 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
numeric.pyi	5.73 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
numerictypes.pyi	1.3 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
polynomial_polybase.pyi	7.74 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
polynomial_polyutils.pyi	10.39 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
polynomial_series.pyi	6.69 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
random.pyi	101.85 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
rec.pyi	3.3 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
scalars.pyi	6.23 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
shape.pyi	262 B	-rw-r--r--	2025-10-22 11:54:13	Edit Del
shape_base.pyi	1.96 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
stride_tricks.pyi	1.28 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
strings.pyi	9.32 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
testing.pyi	8.25 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
twodim_base.pyi	4.14 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
type_check.pyi	2.34 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
ufunc_config.pyi	1.13 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
ufunclike.pyi	1.16 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
ufuncs.pyi	4.68 KB	-rw-r--r--	2025-10-22 11:54:13	Edit Del
warnings_and_errors.pyi	449 B	-rw-r--r--	2025-10-22 11:54:13	Edit Del

Editing: arraysetops.pyi (4.31 KB)

from typing import Any, assert_type

import numpy as np
import numpy.typing as npt
from numpy.lib._arraysetops_impl import (
    UniqueAllResult,
    UniqueCountsResult,
    UniqueInverseResult,
)

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]

assert_type(np.ediff1d(AR_b), npt.NDArray[np.int8])
assert_type(np.ediff1d(AR_i8, to_end=[1, 2, 3]), npt.NDArray[np.int64])
assert_type(np.ediff1d(AR_M), npt.NDArray[np.timedelta64])
assert_type(np.ediff1d(AR_O), npt.NDArray[np.object_])
assert_type(np.ediff1d(AR_LIKE_f8, to_begin=[1, 1.5]), npt.NDArray[Any])

assert_type(np.intersect1d(AR_i8, AR_i8), npt.NDArray[np.int64])
assert_type(np.intersect1d(AR_M, AR_M, assume_unique=True), npt.NDArray[np.datetime64])
assert_type(np.intersect1d(AR_f8, AR_i8), npt.NDArray[Any])
assert_type(
    np.intersect1d(AR_f8, AR_f8, return_indices=True),
    tuple[npt.NDArray[np.float64], npt.NDArray[np.intp], npt.NDArray[np.intp]],
)

assert_type(np.setxor1d(AR_i8, AR_i8), npt.NDArray[np.int64])
assert_type(np.setxor1d(AR_M, AR_M, assume_unique=True), npt.NDArray[np.datetime64])
assert_type(np.setxor1d(AR_f8, AR_i8), npt.NDArray[Any])

assert_type(np.isin(AR_i8, AR_i8), npt.NDArray[np.bool])
assert_type(np.isin(AR_M, AR_M, assume_unique=True), npt.NDArray[np.bool])
assert_type(np.isin(AR_f8, AR_i8), npt.NDArray[np.bool])
assert_type(np.isin(AR_f8, AR_LIKE_f8, invert=True), npt.NDArray[np.bool])

assert_type(np.union1d(AR_i8, AR_i8), npt.NDArray[np.int64])
assert_type(np.union1d(AR_M, AR_M), npt.NDArray[np.datetime64])
assert_type(np.union1d(AR_f8, AR_i8), npt.NDArray[Any])

assert_type(np.setdiff1d(AR_i8, AR_i8), npt.NDArray[np.int64])
assert_type(np.setdiff1d(AR_M, AR_M, assume_unique=True), npt.NDArray[np.datetime64])
assert_type(np.setdiff1d(AR_f8, AR_i8), npt.NDArray[Any])

assert_type(np.unique(AR_f8), npt.NDArray[np.float64])
assert_type(np.unique(AR_LIKE_f8, axis=0), npt.NDArray[Any])
assert_type(np.unique(AR_f8, return_index=True), tuple[npt.NDArray[np.float64], npt.NDArray[np.intp]])
assert_type(np.unique(AR_LIKE_f8, return_index=True), tuple[npt.NDArray[Any], npt.NDArray[np.intp]])
assert_type(np.unique(AR_f8, return_inverse=True), tuple[npt.NDArray[np.float64], npt.NDArray[np.intp]])
assert_type(np.unique(AR_LIKE_f8, return_inverse=True), tuple[npt.NDArray[Any], npt.NDArray[np.intp]])
assert_type(np.unique(AR_f8, return_counts=True), tuple[npt.NDArray[np.float64], npt.NDArray[np.intp]])
assert_type(np.unique(AR_LIKE_f8, return_counts=True), tuple[npt.NDArray[Any], npt.NDArray[np.intp]])
assert_type(np.unique(AR_f8, return_index=True, return_inverse=True), tuple[npt.NDArray[np.float64], npt.NDArray[np.intp], npt.NDArray[np.intp]])
assert_type(np.unique(AR_LIKE_f8, return_index=True, return_inverse=True), tuple[npt.NDArray[Any], npt.NDArray[np.intp], npt.NDArray[np.intp]])
assert_type(np.unique(AR_f8, return_index=True, return_counts=True), tuple[npt.NDArray[np.float64], npt.NDArray[np.intp], npt.NDArray[np.intp]])
assert_type(np.unique(AR_LIKE_f8, return_index=True, return_counts=True), tuple[npt.NDArray[Any], npt.NDArray[np.intp], npt.NDArray[np.intp]])
assert_type(np.unique(AR_f8, return_inverse=True, return_counts=True), tuple[npt.NDArray[np.float64], npt.NDArray[np.intp], npt.NDArray[np.intp]])
assert_type(np.unique(AR_LIKE_f8, return_inverse=True, return_counts=True), tuple[npt.NDArray[Any], npt.NDArray[np.intp], npt.NDArray[np.intp]])
assert_type(np.unique(AR_f8, return_index=True, return_inverse=True, return_counts=True), tuple[npt.NDArray[np.float64], npt.NDArray[np.intp], npt.NDArray[np.intp], npt.NDArray[np.intp]])
assert_type(np.unique(AR_LIKE_f8, return_index=True, return_inverse=True, return_counts=True), tuple[npt.NDArray[Any], npt.NDArray[np.intp], npt.NDArray[np.intp], npt.NDArray[np.intp]])

assert_type(np.unique_all(AR_f8), UniqueAllResult[np.float64])
assert_type(np.unique_all(AR_LIKE_f8), UniqueAllResult[Any])
assert_type(np.unique_counts(AR_f8), UniqueCountsResult[np.float64])
assert_type(np.unique_counts(AR_LIKE_f8), UniqueCountsResult[Any])
assert_type(np.unique_inverse(AR_f8), UniqueInverseResult[np.float64])
assert_type(np.unique_inverse(AR_LIKE_f8), UniqueInverseResult[Any])
assert_type(np.unique_values(AR_f8), npt.NDArray[np.float64])
assert_type(np.unique_values(AR_LIKE_f8), npt.NDArray[Any])