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File Name : numeric.pyi

"""
Tests for :mod:`core.numeric`.

Does not include tests which fall under ``array_constructors``.

"""

import numpy as np
import numpy.typing as npt

class SubClass(npt.NDArray[np.int64]):
    ...

i8: np.int64

AR_b: npt.NDArray[np.bool_]
AR_u8: npt.NDArray[np.uint64]
AR_i8: npt.NDArray[np.int64]
AR_f8: npt.NDArray[np.float64]
AR_c16: npt.NDArray[np.complex128]
AR_m: npt.NDArray[np.timedelta64]
AR_O: npt.NDArray[np.object_]

B: list[int]
C: SubClass

reveal_type(np.count_nonzero(i8))  # E: int
reveal_type(np.count_nonzero(AR_i8))  # E: int
reveal_type(np.count_nonzero(B))  # E: int
reveal_type(np.count_nonzero(AR_i8, keepdims=True))  # E: Any
reveal_type(np.count_nonzero(AR_i8, axis=0))  # E: Any

reveal_type(np.isfortran(i8))  # E: bool
reveal_type(np.isfortran(AR_i8))  # E: bool

reveal_type(np.argwhere(i8))  # E: ndarray[Any, dtype[{intp}]]
reveal_type(np.argwhere(AR_i8))  # E: ndarray[Any, dtype[{intp}]]

reveal_type(np.flatnonzero(i8))  # E: ndarray[Any, dtype[{intp}]]
reveal_type(np.flatnonzero(AR_i8))  # E: ndarray[Any, dtype[{intp}]]

reveal_type(np.correlate(B, AR_i8, mode="valid"))  # E: ndarray[Any, dtype[signedinteger[Any]]]
reveal_type(np.correlate(AR_i8, AR_i8, mode="same"))  # E: ndarray[Any, dtype[signedinteger[Any]]]
reveal_type(np.correlate(AR_b, AR_b))  # E: ndarray[Any, dtype[bool_]]
reveal_type(np.correlate(AR_b, AR_u8))  # E: ndarray[Any, dtype[unsignedinteger[Any]]]
reveal_type(np.correlate(AR_i8, AR_b))  # E: ndarray[Any, dtype[signedinteger[Any]]]
reveal_type(np.correlate(AR_i8, AR_f8))  # E: ndarray[Any, dtype[floating[Any]]]
reveal_type(np.correlate(AR_i8, AR_c16))  # E: ndarray[Any, dtype[complexfloating[Any, Any]]]
reveal_type(np.correlate(AR_i8, AR_m))  # E: ndarray[Any, dtype[timedelta64]]
reveal_type(np.correlate(AR_O, AR_O))  # E: ndarray[Any, dtype[object_]]

reveal_type(np.convolve(B, AR_i8, mode="valid"))  # E: ndarray[Any, dtype[signedinteger[Any]]]
reveal_type(np.convolve(AR_i8, AR_i8, mode="same"))  # E: ndarray[Any, dtype[signedinteger[Any]]]
reveal_type(np.convolve(AR_b, AR_b))  # E: ndarray[Any, dtype[bool_]]
reveal_type(np.convolve(AR_b, AR_u8))  # E: ndarray[Any, dtype[unsignedinteger[Any]]]
reveal_type(np.convolve(AR_i8, AR_b))  # E: ndarray[Any, dtype[signedinteger[Any]]]
reveal_type(np.convolve(AR_i8, AR_f8))  # E: ndarray[Any, dtype[floating[Any]]]
reveal_type(np.convolve(AR_i8, AR_c16))  # E: ndarray[Any, dtype[complexfloating[Any, Any]]]
reveal_type(np.convolve(AR_i8, AR_m))  # E: ndarray[Any, dtype[timedelta64]]
reveal_type(np.convolve(AR_O, AR_O))  # E: ndarray[Any, dtype[object_]]

reveal_type(np.outer(i8, AR_i8))  # E: ndarray[Any, dtype[signedinteger[Any]]]
reveal_type(np.outer(B, AR_i8))  # E: ndarray[Any, dtype[signedinteger[Any]]]
reveal_type(np.outer(AR_i8, AR_i8))  # E: ndarray[Any, dtype[signedinteger[Any]]]
reveal_type(np.outer(AR_i8, AR_i8, out=C))  # E: SubClass
reveal_type(np.outer(AR_b, AR_b))  # E: ndarray[Any, dtype[bool_]]
reveal_type(np.outer(AR_b, AR_u8))  # E: ndarray[Any, dtype[unsignedinteger[Any]]]
reveal_type(np.outer(AR_i8, AR_b))  # E: ndarray[Any, dtype[signedinteger[Any]]]
reveal_type(np.convolve(AR_i8, AR_f8))  # E: ndarray[Any, dtype[floating[Any]]]
reveal_type(np.outer(AR_i8, AR_c16))  # E: ndarray[Any, dtype[complexfloating[Any, Any]]]
reveal_type(np.outer(AR_i8, AR_m))  # E: ndarray[Any, dtype[timedelta64]]
reveal_type(np.outer(AR_O, AR_O))  # E: ndarray[Any, dtype[object_]]

reveal_type(np.tensordot(B, AR_i8))  # E: ndarray[Any, dtype[signedinteger[Any]]]
reveal_type(np.tensordot(AR_i8, AR_i8))  # E: ndarray[Any, dtype[signedinteger[Any]]]
reveal_type(np.tensordot(AR_i8, AR_i8, axes=0))  # E: ndarray[Any, dtype[signedinteger[Any]]]
reveal_type(np.tensordot(AR_i8, AR_i8, axes=(0, 1)))  # E: ndarray[Any, dtype[signedinteger[Any]]]
reveal_type(np.tensordot(AR_b, AR_b))  # E: ndarray[Any, dtype[bool_]]
reveal_type(np.tensordot(AR_b, AR_u8))  # E: ndarray[Any, dtype[unsignedinteger[Any]]]
reveal_type(np.tensordot(AR_i8, AR_b))  # E: ndarray[Any, dtype[signedinteger[Any]]]
reveal_type(np.tensordot(AR_i8, AR_f8))  # E: ndarray[Any, dtype[floating[Any]]]
reveal_type(np.tensordot(AR_i8, AR_c16))  # E: ndarray[Any, dtype[complexfloating[Any, Any]]]
reveal_type(np.tensordot(AR_i8, AR_m))  # E: ndarray[Any, dtype[timedelta64]]
reveal_type(np.tensordot(AR_O, AR_O))  # E: ndarray[Any, dtype[object_]]

reveal_type(np.isscalar(i8))  # E: bool
reveal_type(np.isscalar(AR_i8))  # E: bool
reveal_type(np.isscalar(B))  # E: bool

reveal_type(np.roll(AR_i8, 1))  # E: ndarray[Any, dtype[{int64}]]
reveal_type(np.roll(AR_i8, (1, 2)))  # E: ndarray[Any, dtype[{int64}]]
reveal_type(np.roll(B, 1))  # E: ndarray[Any, dtype[Any]]

reveal_type(np.rollaxis(AR_i8, 0, 1))  # E: ndarray[Any, dtype[{int64}]]

reveal_type(np.moveaxis(AR_i8, 0, 1))  # E: ndarray[Any, dtype[{int64}]]
reveal_type(np.moveaxis(AR_i8, (0, 1), (1, 2)))  # E: ndarray[Any, dtype[{int64}]]

reveal_type(np.cross(B, AR_i8))  # E: ndarray[Any, dtype[signedinteger[Any]]]
reveal_type(np.cross(AR_i8, AR_i8))  # E: ndarray[Any, dtype[signedinteger[Any]]]
reveal_type(np.cross(AR_b, AR_u8))  # E: ndarray[Any, dtype[unsignedinteger[Any]]]
reveal_type(np.cross(AR_i8, AR_b))  # E: ndarray[Any, dtype[signedinteger[Any]]]
reveal_type(np.cross(AR_i8, AR_f8))  # E: ndarray[Any, dtype[floating[Any]]]
reveal_type(np.cross(AR_i8, AR_c16))  # E: ndarray[Any, dtype[complexfloating[Any, Any]]]
reveal_type(np.cross(AR_O, AR_O))  # E: ndarray[Any, dtype[object_]]

reveal_type(np.indices([0, 1, 2]))  # E: ndarray[Any, dtype[{int_}]]
reveal_type(np.indices([0, 1, 2], sparse=True))  # E: tuple[ndarray[Any, dtype[{int_}]], ...]
reveal_type(np.indices([0, 1, 2], dtype=np.float64))  # E: ndarray[Any, dtype[{float64}]]
reveal_type(np.indices([0, 1, 2], sparse=True, dtype=np.float64))  # E: tuple[ndarray[Any, dtype[{float64}]], ...]
reveal_type(np.indices([0, 1, 2], dtype=float))  # E: ndarray[Any, dtype[Any]]
reveal_type(np.indices([0, 1, 2], sparse=True, dtype=float))  # E: tuple[ndarray[Any, dtype[Any]], ...]

reveal_type(np.binary_repr(1))  # E: str

reveal_type(np.base_repr(1))  # E: str

reveal_type(np.allclose(i8, AR_i8))  # E: bool
reveal_type(np.allclose(B, AR_i8))  # E: bool
reveal_type(np.allclose(AR_i8, AR_i8))  # E: bool

reveal_type(np.isclose(i8, i8))  # E: bool_
reveal_type(np.isclose(i8, AR_i8))  # E: ndarray[Any, dtype[bool_]]
reveal_type(np.isclose(B, AR_i8))  # E: ndarray[Any, dtype[bool_]]
reveal_type(np.isclose(AR_i8, AR_i8))  # E: ndarray[Any, dtype[bool_]]

reveal_type(np.array_equal(i8, AR_i8))  # E: bool
reveal_type(np.array_equal(B, AR_i8))  # E: bool
reveal_type(np.array_equal(AR_i8, AR_i8))  # E: bool

reveal_type(np.array_equiv(i8, AR_i8))  # E: bool
reveal_type(np.array_equiv(B, AR_i8))  # E: bool
reveal_type(np.array_equiv(AR_i8, AR_i8))  # E: bool

Name	Type	Size	Owner/Group	Permission	Last Modified	Actions
.	dir	-	root/root	0755	2025-05-15 06:31:44
..	dir	-	root/root	0755	2025-05-15 06:31:44
arithmetic.pyi	text/x-script.python	20.32 KB	root/root	0644	2025-04-17 01:10:58
array_constructors.pyi	text/x-script.python	11.55 KB	root/root	0644	2025-04-17 01:10:58
arraypad.pyi	text/x-script.python	694 B	root/root	0644	2025-04-17 01:10:58
arrayprint.pyi	text/x-script.python	686 B	root/root	0644	2025-04-17 01:10:58
arraysetops.pyi	text/plain	4.56 KB	root/root	0644	2025-04-17 01:10:58
arrayterator.pyi	text/x-script.python	1.1 KB	root/root	0644	2025-04-17 01:10:58
bitwise_ops.pyi	text/plain	3.52 KB	root/root	0644	2025-04-17 01:10:58
char.pyi	text/x-script.python	7.86 KB	root/root	0644	2025-04-17 01:10:58
chararray.pyi	text/x-script.python	6.16 KB	root/root	0644	2025-04-17 01:10:58
comparisons.pyi	text/plain	7.83 KB	root/root	0644	2025-04-17 01:10:58
constants.pyi	text/plain	1.89 KB	root/root	0644	2025-04-17 01:10:58
ctypeslib.pyi	text/x-script.python	4.99 KB	root/root	0644	2025-04-17 01:10:58
datasource.pyi	text/x-script.python	557 B	root/root	0644	2025-04-17 01:10:58
dtype.pyi	text/plain	2.72 KB	root/root	0644	2025-04-17 01:10:58
einsumfunc.pyi	text/x-script.python	2.12 KB	root/root	0644	2025-04-17 01:10:58
emath.pyi	text/plain	2.48 KB	root/root	0644	2025-04-17 01:10:58
false_positives.pyi	text/x-script.python	349 B	root/root	0644	2025-04-17 01:10:58
fft.pyi	text/plain	1.81 KB	root/root	0644	2025-04-17 01:10:58
flatiter.pyi	text/x-script.python	819 B	root/root	0644	2025-04-17 01:10:58
fromnumeric.pyi	text/plain	13.31 KB	root/root	0644	2025-04-17 01:10:58
getlimits.pyi	text/plain	1.51 KB	root/root	0644	2025-04-17 01:10:58
histograms.pyi	text/plain	1.36 KB	root/root	0644	2025-04-17 01:10:58
index_tricks.pyi	text/x-script.python	3.4 KB	root/root	0644	2025-04-17 01:10:58
lib_function_base.pyi	text/x-script.python	8.93 KB	root/root	0644	2025-04-17 01:10:58
lib_polynomial.pyi	text/plain	6.2 KB	root/root	0644	2025-04-17 01:10:58
lib_utils.pyi	text/x-script.python	917 B	root/root	0644	2025-04-17 01:10:58
lib_version.pyi	text/x-script.python	605 B	root/root	0644	2025-04-17 01:10:58
linalg.pyi	text/plain	5.09 KB	root/root	0644	2025-04-17 01:10:58
matrix.pyi	text/x-script.python	2.96 KB	root/root	0644	2025-04-17 01:10:58
memmap.pyi	text/x-script.python	755 B	root/root	0644	2025-04-17 01:10:58
mod.pyi	text/x-script.python	5.85 KB	root/root	0644	2025-04-17 01:10:58
modules.pyi	text/x-script.python	1.95 KB	root/root	0644	2025-04-17 01:10:58
multiarray.pyi	text/x-script.python	5.54 KB	root/root	0644	2025-04-17 01:10:58
nbit_base_example.pyi	text/x-script.python	500 B	root/root	0644	2025-04-17 01:10:58
ndarray_conversion.pyi	text/plain	1.87 KB	root/root	0644	2025-04-17 01:10:58
ndarray_misc.pyi	text/plain	7.61 KB	root/root	0644	2025-04-17 01:10:58
ndarray_shape_manipulation.pyi	text/plain	904 B	root/root	0644	2025-04-17 01:10:58
nditer.pyi	text/plain	2.02 KB	root/root	0644	2025-04-17 01:10:58
nested_sequence.pyi	text/x-script.python	648 B	root/root	0644	2025-04-17 01:10:58
npyio.pyi	text/x-script.python	4.33 KB	root/root	0644	2025-04-17 01:10:58
numeric.pyi	text/plain	6.64 KB	root/root	0644	2025-04-17 01:10:58
numerictypes.pyi	text/plain	1.67 KB	root/root	0644	2025-04-17 01:10:58
random.pyi	text/x-script.python	126.47 KB	root/root	0644	2025-04-17 01:10:58
rec.pyi	text/x-script.python	3.3 KB	root/root	0644	2025-04-17 01:10:58
scalars.pyi	text/plain	5.22 KB	root/root	0644	2025-04-17 01:10:58
shape_base.pyi	text/x-script.python	2.57 KB	root/root	0644	2025-04-17 01:10:58
stride_tricks.pyi	text/x-script.python	1.53 KB	root/root	0644	2025-04-17 01:10:58
testing.pyi	text/x-script.python	8.67 KB	root/root	0644	2025-04-17 01:10:58
twodim_base.pyi	text/x-script.python	3.25 KB	root/root	0644	2025-04-17 01:10:58
type_check.pyi	text/x-script.python	2.96 KB	root/root	0644	2025-04-17 01:10:58
ufunc_config.pyi	text/plain	1.27 KB	root/root	0644	2025-04-17 01:10:58
ufunclike.pyi	text/x-script.python	1.29 KB	root/root	0644	2025-04-17 01:10:58
ufuncs.pyi	text/plain	2.85 KB	root/root	0644	2025-04-17 01:10:58
version.pyi	text/plain	313 B	root/root	0644	2025-04-17 01:10:58
warnings_and_errors.pyi	text/plain	420 B	root/root	0644	2025-04-17 01:10:58

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