}

        void assertMet() {
            //can never be not met
        }
    }

    class SftpAllowAll implements SftpExpectation {

        final boolean failing = false
        final boolean missing = false

        boolean matches(Buffer buffer, int type, int id) {
            return true
        }

        void assertMet() {
            //can never be not met

  Status status;
  TF_Tensor* tf_tensor = TF_TensorFromTensor(tensor, &status);
  TF_TensorWrapper tensor_wrapper = TF_TensorWrapper(tf_tensor);
  ASSERT_TRUE(status.ok()) << status.ToString();
  ASSERT_EQ(tensor.shape().DebugString(), ShapeDebugString(tf_tensor));
}

TEST(ShapeDebugString, RegularShape) { TestShapeMatch(TensorShape({5, 4, 7})); }

TEST(ShapeDebugString, ScalarShape) { TestShapeMatch(TensorShape({})); }

  ForEachArgConsumedByFallback(
      module.get(),
      [&func_and_index](llvm::StringRef func_name, int arg_index) {
        func_and_index.push_back({func_name.str(), arg_index});
      });

  ASSERT_EQ(func_and_index.size(), 1);
  EXPECT_EQ(func_and_index[0].first, "test");
  EXPECT_EQ(func_and_index[0].second, 2);
}

}  // namespace
}  // namespace fallback_async

      TF_NewStatus(), TF_DeleteStatus);
  std::unique_ptr<TF_Tensor, decltype(&TF_DeleteTensor)> actual_value(
      TFE_TensorHandleResolve(handle, status.get()), TF_DeleteTensor);
  ASSERT_EQ(TF_GetCode(status.get()), TF_OK) << TF_Message(status.get());
  ASSERT_EQ(TF_TensorType(actual_value.get()),
            static_cast<TF_DataType>(DataTypeToEnum<value_type>().value));
  EXPECT_EQ(expected_value,

  TF_ASSERT_OK_AND_ASSIGN(Callable to_string,
                          model_good.Get<Callable>(String("ToString")));

  TF_ASSERT_OK_AND_ASSIGN(String s, to_string.Call<String>(model_good));

  ASSERT_GT(strlen(s.get()), 0);
}

}  // namespace libtf

        'shapes': [
            [3, 3],
            [3, None],
        ],
        'has_bias': [True, False],
    }]
    combinations = testing.parameter_combinations(test_parameters)

    self.assertLen(combinations, 4)
    self.assertIn({'shapes': [3, 3], 'has_bias': True}, combinations)
    self.assertIn({'shapes': [3, 3], 'has_bias': False}, combinations)
    self.assertIn({'shapes': [3, None], 'has_bias': True}, combinations)

	_interface    *_type
	concrete      *_type
	asserted      *_type
	missingMethod string // one method needed by Interface, missing from Concrete
}

func (*TypeAssertionError) RuntimeError() {}

func (e *TypeAssertionError) Error() string {
	inter := "interface"
	if e._interface != nil {
		inter = toRType(e._interface).string()
	}
	as := toRType(e.asserted).string()
	if e.concrete == nil {

    TF_EXPECT_OK(Env::Default()->FileExists(asset_filepath));

    std::vector<Tensor> path_outputs;
    TF_ASSERT_OK(
        bundle.GetSession()->Run({}, {"filename_tensor:0"}, {}, &path_outputs));
    ASSERT_EQ(1, path_outputs.size());

    test::ExpectTensorEqual<tstring>(
        test::AsTensor<tstring>({"foo.txt"}, TensorShape({})), path_outputs[0]);
  }

  void CheckSavedModelBundle(const string& export_dir,

/* This returns true if the file's attributes contain any of the attributes
 * specified for this filter. The wildcard has no influence on this
 * method as the server should have performed that filtering already. The
 * attributes are asserted here only because server file systems may not
 * support filtering by all attributes (e.g. even though ATTR_DIRECTORY was
 * specified the server may still return objects that are not directories).
 */

     * specified for this filter. The wildcard has no influence on this
     * method as the server should have performed that filtering already. The
     * attributes are asserted here only because server file systems may not
     * support filtering by all attributes (e.g. even though ATTR_DIRECTORY was
     * specified the server may still return objects that are not directories).
     */
    @Override