text: # Copyright 2018 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 errors module."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  from tensorflow.contrib.autograph.core import errors
  from tensorflow.contrib.autograph.pyct import origin_info
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors as tf_errors
  from tensorflow.python.ops import array_ops
  from tensorflow.python.platform import test
  from tensorflow.python.util import tf_inspect
  
  
  def zero_div():
    x = array_ops.constant(10, dtype=dtypes.int32)
    return x // 0
  
  
  def zero_div_caller():
    return zero_div()
  
  
  class RuntimeErrorsTest(test.TestCase):
  
    def fake_origin(self, function, line_offset):
      _, lineno = tf_inspect.getsourcelines(function)
      filename = tf_inspect.getsourcefile(function)
      lineno += line_offset
      loc = origin_info.LineLocation(filename, lineno)
      origin = origin_info.OriginInfo(loc, 'test_function_name', 'test_code',
                                      'test_comment')
      return loc, origin
  
    def test_improved_errors_basic(self):
      loc, origin = self.fake_origin(zero_div, 2)
      zero_div_caller.ag_source_map = {loc: origin}
  
      ops = zero_div_caller()
      with self.assertRaises(errors.TfRuntimeError) as cm:
        with errors.improved_errors(zero_div_caller):
          with self.test_session() as sess:
            sess.run(ops)
  
      for frame in cm.exception.custom_traceback:
        _, _, function_name, _ = frame
        self.assertNotEqual('zero_div', function_name)
      self.assertIn(origin.as_frame(), set(cm.exception.custom_traceback))
  
    def test_improved_errors_no_matching_lineno(self):
      loc, origin = self.fake_origin(zero_div, -1)
      zero_div_caller.ag_source_map = {loc: origin}
  
      ops = zero_div_caller()
      with self.assertRaises(errors.TfRuntimeError) as cm:
        with errors.improved_errors(zero_div_caller):
          with self.test_session() as sess:
            sess.run(ops)
  
      all_function_names = set()
      for frame in cm.exception.custom_traceback:
        _, _, function_name, _ = frame
        all_function_names.add(function_name)
        self.assertNotEqual('test_function_name', function_name)
      self.assertIn('zero_div', all_function_names)
  
    def test_improved_errors_failures(self):
      loc, _ = self.fake_origin(zero_div, 2)
      zero_div_caller.ag_source_map = {loc: 'bogus object'}
  
      ops = zero_div_caller()
      with self.assertRaises(tf_errors.InvalidArgumentError):
        with errors.improved_errors(zero_div_caller):
          with self.test_session() as sess:
            sess.run(ops)
  
    def test_improved_errors_validation(self):
      with self.assertRaisesRegexp(
          ValueError,
          'converted_function must be the result of an autograph.to_graph call'):
        errors.improved_errors(zero_div).__enter__()
      with self.assertRaisesRegexp(
          ValueError,
          'converted_function must be the result of an autograph.to_graph call'):
        zero_div_caller.ag_source_map = 'not a dict'
        errors.improved_errors(zero_div_caller).__enter__()
  
  
  if __name__ == '__main__':
    test.main()
  