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__init__.py
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# *****************************************************************************
# Copyright (c) 2026, Intel Corporation
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# - Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
# - Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
# - Neither the name of the copyright holder nor the names of its contributors
# may be used to endorse or promote products derived from this software
# without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
# INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
# CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
# THE POSSIBILITY OF SUCH DAMAGE.
# *****************************************************************************
from ._accumulation import cumulative_logsumexp, cumulative_prod, cumulative_sum
from ._clip import clip
from ._copy_utils import (
asnumpy,
astype,
copy,
from_numpy,
to_numpy,
)
from ._ctors import (
arange,
asarray,
empty,
empty_like,
eye,
full,
full_like,
linspace,
meshgrid,
ones,
ones_like,
tril,
triu,
zeros,
zeros_like,
)
from ._indexing_functions import (
extract,
nonzero,
place,
put,
put_along_axis,
take,
take_along_axis,
)
from ._manipulation_functions import (
broadcast_arrays,
broadcast_to,
concat,
expand_dims,
flip,
moveaxis,
permute_dims,
repeat,
roll,
squeeze,
stack,
swapaxes,
tile,
unstack,
)
from ._reduction import (
argmax,
argmin,
count_nonzero,
logsumexp,
max,
min,
prod,
reduce_hypot,
sum,
)
from ._reshape import reshape
from ._search_functions import where
from ._searchsorted import searchsorted
from ._set_functions import (
isin,
unique_all,
unique_counts,
unique_inverse,
unique_values,
)
from ._sorting import argsort, sort, top_k
from ._type_utils import can_cast, finfo, iinfo, isdtype, result_type
from ._utility_functions import all, any, diff
__all__ = [
"all",
"any",
"arange",
"argmax",
"argmin",
"argsort",
"asarray",
"asnumpy",
"astype",
"broadcast_arrays",
"broadcast_to",
"can_cast",
"concat",
"copy",
"count_nonzero",
"clip",
"cumulative_logsumexp",
"cumulative_prod",
"cumulative_sum",
"diff",
"empty",
"empty_like",
"extract",
"expand_dims",
"eye",
"finfo",
"flip",
"from_numpy",
"full",
"full_like",
"iinfo",
"isdtype",
"isin",
"linspace",
"logsumexp",
"max",
"meshgrid",
"min",
"moveaxis",
"permute_dims",
"nonzero",
"ones",
"ones_like",
"place",
"prod",
"put",
"put_along_axis",
"reduce_hypot",
"repeat",
"reshape",
"result_type",
"roll",
"searchsorted",
"sort",
"squeeze",
"stack",
"sum",
"swapaxes",
"take",
"take_along_axis",
"tile",
"top_k",
"to_numpy",
"tril",
"triu",
"unique_all",
"unique_counts",
"unique_inverse",
"unique_values",
"unstack",
"where",
"zeros",
"zeros_like",
]