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Name | Type | Size | Last Modified | Actions |
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arithmetic.pyi | File | 3850 bytes | April 17 2025 13:10:58. | |
array_constructors.pyi | File | 1089 bytes | April 17 2025 13:10:58. | |
array_like.pyi | File | 455 bytes | April 17 2025 13:10:58. | |
array_pad.pyi | File | 132 bytes | April 17 2025 13:10:58. | |
arrayprint.pyi | File | 549 bytes | April 17 2025 13:10:58. | |
arrayterator.pyi | File | 480 bytes | April 17 2025 13:10:58. | |
bitwise_ops.pyi | File | 515 bytes | April 17 2025 13:10:58. | |
char.pyi | File | 2615 bytes | April 17 2025 13:10:58. | |
chararray.pyi | File | 2296 bytes | April 17 2025 13:10:58. | |
comparisons.pyi | File | 888 bytes | April 17 2025 13:10:58. | |
constants.pyi | File | 286 bytes | April 17 2025 13:10:58. | |
datasource.pyi | File | 395 bytes | April 17 2025 13:10:58. | |
dtype.pyi | File | 334 bytes | April 17 2025 13:10:58. | |
einsumfunc.pyi | File | 539 bytes | April 17 2025 13:10:58. | |
false_positives.pyi | File | 366 bytes | April 17 2025 13:10:58. | |
flatiter.pyi | File | 843 bytes | April 17 2025 13:10:58. | |
fromnumeric.pyi | File | 5591 bytes | April 17 2025 13:10:58. | |
histograms.pyi | File | 367 bytes | April 17 2025 13:10:58. | |
index_tricks.pyi | File | 509 bytes | April 17 2025 13:10:58. | |
lib_function_base.pyi | File | 2081 bytes | April 17 2025 13:10:58. | |
lib_polynomial.pyi | File | 913 bytes | April 17 2025 13:10:58. | |
lib_utils.pyi | File | 276 bytes | April 17 2025 13:10:58. | |
lib_version.pyi | File | 158 bytes | April 17 2025 13:10:58. | |
linalg.pyi | File | 1322 bytes | April 17 2025 13:10:58. | |
memmap.pyi | File | 159 bytes | April 17 2025 13:10:58. | |
modules.pyi | File | 652 bytes | April 17 2025 13:10:58. | |
multiarray.pyi | File | 1693 bytes | April 17 2025 13:10:58. | |
ndarray.pyi | File | 405 bytes | April 17 2025 13:10:58. | |
ndarray_misc.pyi | File | 1372 bytes | April 17 2025 13:10:58. | |
nditer.pyi | File | 325 bytes | April 17 2025 13:10:58. | |
nested_sequence.pyi | File | 427 bytes | April 17 2025 13:10:58. | |
npyio.pyi | File | 780 bytes | April 17 2025 13:10:58. | |
numerictypes.pyi | File | 276 bytes | April 17 2025 13:10:58. | |
random.pyi | File | 2830 bytes | April 17 2025 13:10:58. | |
rec.pyi | File | 704 bytes | April 17 2025 13:10:58. | |
scalars.pyi | File | 2952 bytes | April 17 2025 13:10:58. | |
shape_base.pyi | File | 152 bytes | April 17 2025 13:10:58. | |
stride_tricks.pyi | File | 315 bytes | April 17 2025 13:10:58. | |
testing.pyi | File | 1370 bytes | April 17 2025 13:10:58. | |
twodim_base.pyi | File | 899 bytes | April 17 2025 13:10:58. | |
type_check.pyi | File | 379 bytes | April 17 2025 13:10:58. | |
ufunc_config.pyi | File | 733 bytes | April 17 2025 13:10:58. | |
ufunclike.pyi | File | 679 bytes | April 17 2025 13:10:58. | |
ufuncs.pyi | File | 1347 bytes | April 17 2025 13:10:58. | |
warnings_and_errors.pyi | File | 174 bytes | April 17 2025 13:10:58. |
"""Tests for :mod:`numpy.core.fromnumeric`.""" import numpy as np import numpy.typing as npt A = np.array(True, ndmin=2, dtype=bool) A.setflags(write=False) AR_U: npt.NDArray[np.str_] a = np.bool_(True) np.take(a, None) # E: No overload variant np.take(a, axis=1.0) # E: No overload variant np.take(A, out=1) # E: No overload variant np.take(A, mode="bob") # E: No overload variant np.reshape(a, None) # E: No overload variant np.reshape(A, 1, order="bob") # E: No overload variant np.choose(a, None) # E: No overload variant np.choose(a, out=1.0) # E: No overload variant np.choose(A, mode="bob") # E: No overload variant np.repeat(a, None) # E: No overload variant np.repeat(A, 1, axis=1.0) # E: No overload variant np.swapaxes(A, None, 1) # E: No overload variant np.swapaxes(A, 1, [0]) # E: No overload variant np.transpose(A, axes=1.0) # E: No overload variant np.partition(a, None) # E: No overload variant np.partition( # E: No overload variant a, 0, axis="bob" ) np.partition( # E: No overload variant A, 0, kind="bob" ) np.partition( A, 0, order=range(5) # E: Argument "order" to "partition" has incompatible type ) np.argpartition( a, None # E: incompatible type ) np.argpartition( a, 0, axis="bob" # E: incompatible type ) np.argpartition( A, 0, kind="bob" # E: incompatible type ) np.argpartition( A, 0, order=range(5) # E: Argument "order" to "argpartition" has incompatible type ) np.sort(A, axis="bob") # E: No overload variant np.sort(A, kind="bob") # E: No overload variant np.sort(A, order=range(5)) # E: Argument "order" to "sort" has incompatible type np.argsort(A, axis="bob") # E: Argument "axis" to "argsort" has incompatible type np.argsort(A, kind="bob") # E: Argument "kind" to "argsort" has incompatible type np.argsort(A, order=range(5)) # E: Argument "order" to "argsort" has incompatible type np.argmax(A, axis="bob") # E: No overload variant of "argmax" matches argument type np.argmax(A, kind="bob") # E: No overload variant of "argmax" matches argument type np.argmin(A, axis="bob") # E: No overload variant of "argmin" matches argument type np.argmin(A, kind="bob") # E: No overload variant of "argmin" matches argument type np.searchsorted( # E: No overload variant of "searchsorted" matches argument type A[0], 0, side="bob" ) np.searchsorted( # E: No overload variant of "searchsorted" matches argument type A[0], 0, sorter=1.0 ) np.resize(A, 1.0) # E: No overload variant np.squeeze(A, 1.0) # E: No overload variant of "squeeze" matches argument type np.diagonal(A, offset=None) # E: No overload variant np.diagonal(A, axis1="bob") # E: No overload variant np.diagonal(A, axis2=[]) # E: No overload variant np.trace(A, offset=None) # E: No overload variant np.trace(A, axis1="bob") # E: No overload variant np.trace(A, axis2=[]) # E: No overload variant np.ravel(a, order="bob") # E: No overload variant np.compress( # E: No overload variant [True], A, axis=1.0 ) np.clip(a, 1, 2, out=1) # E: No overload variant of "clip" matches argument type np.sum(a, axis=1.0) # E: No overload variant np.sum(a, keepdims=1.0) # E: No overload variant np.sum(a, initial=[1]) # E: No overload variant np.all(a, axis=1.0) # E: No overload variant np.all(a, keepdims=1.0) # E: No overload variant np.all(a, out=1.0) # E: No overload variant np.any(a, axis=1.0) # E: No overload variant np.any(a, keepdims=1.0) # E: No overload variant np.any(a, out=1.0) # E: No overload variant np.cumsum(a, axis=1.0) # E: No overload variant np.cumsum(a, dtype=1.0) # E: No overload variant np.cumsum(a, out=1.0) # E: No overload variant np.ptp(a, axis=1.0) # E: No overload variant np.ptp(a, keepdims=1.0) # E: No overload variant np.ptp(a, out=1.0) # E: No overload variant np.amax(a, axis=1.0) # E: No overload variant np.amax(a, keepdims=1.0) # E: No overload variant np.amax(a, out=1.0) # E: No overload variant np.amax(a, initial=[1.0]) # E: No overload variant np.amax(a, where=[1.0]) # E: incompatible type np.amin(a, axis=1.0) # E: No overload variant np.amin(a, keepdims=1.0) # E: No overload variant np.amin(a, out=1.0) # E: No overload variant np.amin(a, initial=[1.0]) # E: No overload variant np.amin(a, where=[1.0]) # E: incompatible type np.prod(a, axis=1.0) # E: No overload variant np.prod(a, out=False) # E: No overload variant np.prod(a, keepdims=1.0) # E: No overload variant np.prod(a, initial=int) # E: No overload variant np.prod(a, where=1.0) # E: No overload variant np.prod(AR_U) # E: incompatible type np.cumprod(a, axis=1.0) # E: No overload variant np.cumprod(a, out=False) # E: No overload variant np.cumprod(AR_U) # E: incompatible type np.size(a, axis=1.0) # E: Argument "axis" to "size" has incompatible type np.around(a, decimals=1.0) # E: No overload variant np.around(a, out=type) # E: No overload variant np.around(AR_U) # E: incompatible type np.mean(a, axis=1.0) # E: No overload variant np.mean(a, out=False) # E: No overload variant np.mean(a, keepdims=1.0) # E: No overload variant np.mean(AR_U) # E: incompatible type np.std(a, axis=1.0) # E: No overload variant np.std(a, out=False) # E: No overload variant np.std(a, ddof='test') # E: No overload variant np.std(a, keepdims=1.0) # E: No overload variant np.std(AR_U) # E: incompatible type np.var(a, axis=1.0) # E: No overload variant np.var(a, out=False) # E: No overload variant np.var(a, ddof='test') # E: No overload variant np.var(a, keepdims=1.0) # E: No overload variant np.var(AR_U) # E: incompatible type
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