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chore: import upstream snapshot with attribution
2026-07-13 12:14:16 +08:00

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# 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 the XLATestCase test fixture base class."""
from tensorflow.compiler.tests import xla_test
from tensorflow.python.platform import test
class XlaTestCaseTestCase(test.TestCase):
def testManifestEmptyLineDoesNotCatchAll(self):
manifest = """
testCaseOne
"""
disabled_regex, _ = xla_test.parse_disabled_manifest(manifest)
self.assertEqual(disabled_regex, "testCaseOne")
def testManifestWholeLineCommentDoesNotCatchAll(self):
manifest = """# I am a comment
testCaseOne
testCaseTwo
"""
disabled_regex, _ = xla_test.parse_disabled_manifest(manifest)
self.assertEqual(disabled_regex, "testCaseOne|testCaseTwo")
if __name__ == "__main__":
test.main()