fix: remove unnecessary double quotes in strings (#262)

Change-Id: I79373e42991c2872ff0f8be215bbfa5b4b460f0c

Author: aribray

google/cloud/automl_v1beta1/services/tables/tables_client.py

@@ -207,8 +207,7 @@ def __lookup_by_display_name(self, object_type, items, display_name):
  else:
  raise ValueError(
  (
- "Multiple {}s match display_name='{}': {}\n\n"
- "Please use the `.name` (unique identifier) field instead"
+ "Multiple {}s match display_name='{}': {}. Please use the `.name` (unique identifier) field instead."
  ).format(
  object_type,
  display_name,
@@ -220,18 +219,14 @@ def __location_path(self, *, project=None, region=None):
  if project is None:
  if self.project is None:
  raise ValueError(
- "Either initialize your client with a value "
- "for 'project', or provide 'project' as a "
- "parameter for this method."
+ "Either initialize your client with a value for 'project', or provide 'project' as a parameter for this method."
  )
  project = self.project
 
  if region is None:
  if self.region is None:
  raise ValueError(
- "Either initialize your client with a value "
- "for 'region', or provide 'region' as a "
- "parameter for this method."
+ "Either initialize your client with a value for 'region', or provide 'region' as a parameter for this method."
  )
  region = self.region
 
@@ -259,8 +254,7 @@ def __dataset_from_args(
  ):
  if dataset is None and dataset_display_name is None and dataset_name is None:
  raise ValueError(
- "One of 'dataset', 'dataset_name' or "
- "'dataset_display_name' must be set."
+ "One of 'dataset', 'dataset_name' or 'dataset_display_name' must be set."
  )
  # we prefer to make a live call here in the case that the
  # dataset object is out-of-date
@@ -285,7 +279,7 @@ def __model_from_args(
  ):
  if model is None and model_display_name is None and model_name is None:
  raise ValueError(
- "One of 'model', 'model_name' or " "'model_display_name' must be set."
+ "One of 'model', 'model_name' or 'model_display_name' must be set."
  )
  # we prefer to make a live call here in the case that the
  # model object is out-of-date
@@ -310,8 +304,7 @@ def __dataset_name_from_args(
  ):
  if dataset is None and dataset_display_name is None and dataset_name is None:
  raise ValueError(
- "One of 'dataset', 'dataset_name' or "
- "'dataset_display_name' must be set."
+ "One of 'dataset', 'dataset_name' or 'dataset_display_name' must be set."
  )
 
  if dataset_name is None:
@@ -362,7 +355,7 @@ def __model_name_from_args(
  ):
  if model is None and model_display_name is None and model_name is None:
  raise ValueError(
- "One of 'model', 'model_name' or " "'model_display_name' must be set."
+ "One of 'model', 'model_name' or 'model_display_name' must be set."
  )
 
  if model_name is None:
@@ -391,12 +384,7 @@ def __log_operation_info(self, message, op):
  pass
  _LOGGER.info(
  (
- "Operation '{}' is running in the background. The returned "
- "Operation '{}' can be used to query or block on the status "
- "of this operation. Ending your python session will _not_ "
- "cancel this operation. Read the documentation here:\n\n"
- "\thttps://googleapis.dev/python/google-api-core/latest/operation.html\n\n"
- "for more information on the Operation class."
+ "Operation '{}' is running in the background. The returned Operation '{}' can be used to query or block on the status of this operation. Ending your python session will _not_ cancel this operation. Read the documentation here:\n\n \thttps://googleapis.dev/python/google-api-core/latest/operation.html\n\n for more information on the Operation class."
  ).format(message, name)
  )
  return op
@@ -427,8 +415,7 @@ def __column_spec_name_from_args(
  column_specs = {s.display_name: s for s in column_specs}
  if column_specs.get(column_spec_display_name) is None:
  raise exceptions.NotFound(
- "No column with "
- + "column_spec_display_name: '{}' found".format(
+ "No column with column_spec_display_name: '{}' found".format(
  column_spec_display_name
  )
  )
@@ -437,13 +424,13 @@ def __column_spec_name_from_args(
  column_specs = {s.name: s for s in column_specs}
  if column_specs.get(column_spec_name) is None:
  raise exceptions.NotFound(
- "No column with "
- + "column_spec_name: '{}' found".format(column_spec_name)
+ "No column with column_spec_name: '{}' found".format(
+ column_spec_name
+ )
  )
  else:
  raise ValueError(
- "Either supply 'column_spec_name' or "
- "'column_spec_display_name' for the column to update"
+ "Either supply 'column_spec_name' or 'column_spec_display_name' for the column to update"
  )
 
  return column_spec_name
@@ -471,10 +458,10 @@ def __process_request_kwargs(self, request, **kwargs):
 
  Some kwargs are for the request object and others are for
  the method itself (retry, metdata).
- 
+
  Args:
  request (proto.Message) The request object.
- 
+
  Returns:
  dict: kwargs to be added to the method.
  """
@@ -596,7 +583,7 @@ def get_dataset(
  """
  if dataset_name is None and dataset_display_name is None:
  raise ValueError(
- "One of 'dataset_name' or " "'dataset_display_name' must be set."
+ "One of 'dataset_name' or 'dataset_display_name' must be set."
  )
 
  if dataset_name is not None:
@@ -2326,18 +2313,15 @@ def create_model(
  or train_budget_milli_node_hours > 72000
  ):
  raise ValueError(
- "'train_budget_milli_node_hours' must be a "
- "value between 1,000 and 72,000 inclusive"
+ "'train_budget_milli_node_hours' must be a value between 1,000 and 72,000 inclusive"
  )
 
  if exclude_column_spec_names not in [
  None,
  [],
  ] and include_column_spec_names not in [None, []]:
  raise ValueError(
- "Cannot set both "
- "'exclude_column_spec_names' and "
- "'include_column_spec_names'"
+ "Cannot set both 'exclude_column_spec_names' and 'include_column_spec_names'"
  )
 
  dataset_name = self.__dataset_name_from_args(
@@ -2575,9 +2559,7 @@ def get_model(
  ValueError: If required parameters are missing.
  """
  if model_name is None and model_display_name is None:
- raise ValueError(
- "One of 'model_name' or " "'model_display_name' must be set."
- )
+ raise ValueError("One of 'model_name' or 'model_display_name' must be set.")
 
  if model_name is not None:
  return self.auto_ml_client.get_model(name=model_name)
@@ -2824,9 +2806,7 @@ def predict(
  if len(inputs) != len(column_specs):
  raise ValueError(
  (
- "Dimension mismatch, the number of provided "
- "inputs ({}) does not match that of the model "
- "({})"
+ "Dimension mismatch, the number of provided inputs ({}) does not match that of the model ({})"
  ).format(len(inputs), len(column_specs))
  )
 
@@ -2980,7 +2960,7 @@ def batch_predict(
  input_request = {"bigquery_source": {"input_uri": bigquery_input_uri}}
  else:
  raise ValueError(
- "One of 'gcs_input_uris'/'bigquery_input_uris' must" "be set"
+ "One of 'gcs_input_uris'/'bigquery_input_uris' must be set"
  )
 
  output_request = None