old_contents: # Copyright 2016 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 ensure_shape_op."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
  
  
  class EnsureShapeOpTest(xla_test.XLATestCase):
  
    def testEnsureShape(self):
      with self.session() as sess:
        p = array_ops.placeholder(dtypes.int32)
        with self.test_scope():
          op = check_ops.ensure_shape(p, (None, 3))
        expected_out = [[0, 1, 2], [3, 4, 5], [6, 7, 8]]
        self.assertAllEqual(
            expected_out, sess.run(op, {p: [[0, 1, 2], [3, 4, 5], [6, 7, 8]]}))
  
    def testInvalidEnsureShape(self):
      with self.session() as sess:
        p = array_ops.placeholder(dtypes.int32)
        with self.test_scope():
          op = check_ops.ensure_shape(p, (None, 3, 3))
        with self.assertRaisesRegexp(errors_impl.InvalidArgumentError,
                                     "is not compatible with expected shape"):
          sess.run(op, {p: [[0, 1, 2], [3, 4, 5], [6, 7, 8]]})
  
  
  if __name__ == "__main__":
    test.main()
  
new_contents: # Copyright 2016 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 ensure_shape_op."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import check_ops
  from tensorflow.python.platform import test
  
  
  class EnsureShapeOpTest(xla_test.XLATestCase):
  
    def testEnsureShape(self):
      with self.session() as sess:
        p = array_ops.placeholder(dtypes.int32)
        with self.test_scope():
          op = check_ops.ensure_shape(p, (None, 3))
        expected_out = [[0, 1, 2], [3, 4, 5], [6, 7, 8]]
        self.assertAllEqual(
            expected_out, sess.run(op, {p: [[0, 1, 2], [3, 4, 5], [6, 7, 8]]}))
  
    def testInvalidEnsureShape(self):
      with self.session() as sess:
        p = array_ops.placeholder(dtypes.int32)
        with self.test_scope():
          op = check_ops.ensure_shape(p, (None, 3, 3))
        with self.assertRaisesRegexp(errors_impl.InvalidArgumentError,
                                     "is not compatible with expected shape"):
          sess.run(op, {p: [[0, 1, 2], [3, 4, 5], [6, 7, 8]]})
  
  
  if __name__ == "__main__":
    test.main()
  
subject: Remove unused math_ops import to pass CI test