wehub-resource-sync
62 lines
2.1 KiB
Python
62 lines
2.1 KiB
Python
# Copyright 2025 The TensorFlow Authors. All Rights Reserved.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
# ==============================================================================
|
|
"""numpy_compat tests."""
|
|
|
|
|
|
import numpy as np
|
|
|
|
from tensorflow.python.platform import test
|
|
from tensorflow.python.util import numpy_compat
|
|
|
|
|
|
class NumpyCompatCopyBehaviorTest(test.TestCase):
|
|
|
|
def test_no_copy_new_vs_old(self):
|
|
|
|
# Define old_np_asarray to replicate the old code that used .astype(dtype)
|
|
# WITHOUT passing `copy=copy`.
|
|
def old_np_asarray(values, dtype=None, order=None, copy=None):
|
|
if np.lib.NumpyVersion(np.__version__) >= '2.0.0.dev0':
|
|
if dtype is not None and np.issubdtype(dtype, np.number):
|
|
return np.asarray(values, order=order, copy=copy).astype(dtype)
|
|
else:
|
|
return np.asarray(values, dtype=dtype, order=order, copy=copy)
|
|
else:
|
|
return np.asarray(values, dtype=dtype, order=order)
|
|
|
|
# Test array
|
|
x = np.array([1, 2, 3], dtype=np.float32)
|
|
|
|
# Expect old numpy 2.x code to always copy even when copy=None
|
|
y_old = old_np_asarray(x, dtype=np.float32, copy=None)
|
|
if np.lib.NumpyVersion(np.__version__) >= '2.0.0.dev0':
|
|
self.assertIsNot(
|
|
y_old,
|
|
x,
|
|
msg='Old code did NOT copy, but we expect it to always copy.',
|
|
)
|
|
|
|
# Expect new code to reuse the array if copy=None
|
|
y_new = numpy_compat.np_asarray(x, dtype=np.float32, copy=None)
|
|
self.assertIs(
|
|
y_new,
|
|
x,
|
|
msg='New code did copy, but we expect it NOT to copy since copy=None.',
|
|
)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
test.main()
|