update owlbot.py to pull in changes from gapic generator

Author: parthea

google/cloud/bigquery_v2/types/__init__.py

@@ -13,7 +13,9 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
-from .encryption_config import EncryptionConfiguration
+from .encryption_config import (
+    EncryptionConfiguration,
+)
 from .model import (
     DeleteModelRequest,
     GetModelRequest,
@@ -22,14 +24,18 @@
     Model,
     PatchModelRequest,
 )
-from .model_reference import ModelReference
+from .model_reference import (
+    ModelReference,
+)
 from .standard_sql import (
     StandardSqlDataType,
     StandardSqlField,
     StandardSqlStructType,
     StandardSqlTableType,
 )
-from .table_reference import TableReference
+from .table_reference import (
+    TableReference,
+)
 
 __all__ = (
     "EncryptionConfiguration",

google/cloud/bigquery_v2/types/model.py

@@ -55,7 +55,7 @@ class Model(proto.Message):
             model.
         friendly_name (str):
             Optional. A descriptive name for this model.
-        labels (Sequence[google.cloud.bigquery_v2.types.Model.LabelsEntry]):
+        labels (Mapping[str, str]):
             The labels associated with this model. You
             can use these to organize and group your models.
             Label keys and values can be no longer than 63
@@ -95,7 +95,7 @@ class Model(proto.Message):
             used to train this model.
         label_columns (Sequence[google.cloud.bigquery_v2.types.StandardSqlField]):
             Output only. Label columns that were used to train this
-            model. The output of the model will have a `predicted_`
+            model. The output of the model will have a "predicted_"
             prefix to these columns.
         best_trial_id (int):
             The best trial_id across all training runs.
@@ -1200,7 +1200,7 @@ class TrainingOptions(proto.Message):
                 initial_learn_rate (float):
                     Specifies the initial learning rate for the
                     line search learn rate strategy.
-                label_class_weights (Sequence[google.cloud.bigquery_v2.types.Model.TrainingRun.TrainingOptions.LabelClassWeightsEntry]):
+                label_class_weights (Mapping[str, float]):
                     Weights associated with each label class, for
                     rebalancing the training data. Only applicable
                     for classification models.