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chore: import upstream snapshot with attribution
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Python

# Copyright 2017 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.
# ==============================================================================
"""Tests for asserts module."""
from tensorflow.python.autograph.converters import asserts
from tensorflow.python.autograph.converters import functions
from tensorflow.python.autograph.converters import return_statements
from tensorflow.python.autograph.core import converter_testing
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import errors_impl
from tensorflow.python.platform import test
class AssertsTest(converter_testing.TestCase):
def test_basic(self):
def f(a):
assert a, 'testmsg'
return a
tr = self.transform(f, (functions, asserts, return_statements))
op = tr(constant_op.constant(False))
with self.assertRaisesRegex(errors_impl.InvalidArgumentError, 'testmsg'):
self.evaluate(op)
if __name__ == '__main__':
test.main()