Bigquery: Add empty lines (via synth).

[yoshi-automation]

This PR was generated using Autosynth. 🌈

Here's the log from Synthtool:

synthtool > Executing /tmpfs/src/git/autosynth/working_repo/bigquery/synth.py. synthtool > Ensuring dependencies. synthtool > Pulling artman image. latest: Pulling from googleapis/artman Digest: sha256:3246adac900f4bdbd62920e80de2e5877380e44036b3feae13667ec255ebf5ec Status: Image is up to date for googleapis/artman:latest synthtool > Cloning googleapis. synthtool > Running generator for google/cloud/bigquery/artman_bigquery_v2.yaml. synthtool > Generated code into /home/kbuilder/.cache/synthtool/googleapis/artman-genfiles/python/bigquery-v2. synthtool > Copy: /home/kbuilder/.cache/synthtool/googleapis/google/cloud/bigquery/v2/model_reference.proto to /home/kbuilder/.cache/synthtool/googleapis/artman-genfiles/python/bigquery-v2/google/cloud/bigquery_v2/proto/model_reference.proto synthtool > Copy: /home/kbuilder/.cache/synthtool/googleapis/google/cloud/bigquery/v2/model.proto to /home/kbuilder/.cache/synthtool/googleapis/artman-genfiles/python/bigquery-v2/google/cloud/bigquery_v2/proto/model.proto synthtool > Copy: /home/kbuilder/.cache/synthtool/googleapis/google/cloud/bigquery/v2/standard_sql.proto to /home/kbuilder/.cache/synthtool/googleapis/artman-genfiles/python/bigquery-v2/google/cloud/bigquery_v2/proto/standard_sql.proto synthtool > Placed proto files into /home/kbuilder/.cache/synthtool/googleapis/artman-genfiles/python/bigquery-v2/google/cloud/bigquery_v2/proto. synthtool > Replaced '"""Attributes:' in google/cloud/bigquery_v2/proto/model_pb2.py. synthtool > Replaced '[“”]' in google/cloud/bigquery_v2/proto/model_pb2.py. Running session blacken Creating virtualenv using python3.6 in /tmpfs/src/git/autosynth/working_repo/bigquery/.nox/blacken pip install black black docs google samples tests noxfile.py setup.py reformatted /tmpfs/src/git/autosynth/working_repo/bigquery/google/cloud/bigquery_v2/gapic/enums.py reformatted /tmpfs/src/git/autosynth/working_repo/bigquery/google/cloud/bigquery_v2/proto/model_pb2_grpc.py reformatted /tmpfs/src/git/autosynth/working_repo/bigquery/google/cloud/bigquery_v2/proto/model_reference_pb2_grpc.py reformatted /tmpfs/src/git/autosynth/working_repo/bigquery/google/cloud/bigquery_v2/proto/model_reference_pb2.py reformatted /tmpfs/src/git/autosynth/working_repo/bigquery/google/cloud/bigquery_v2/proto/standard_sql_pb2_grpc.py reformatted /tmpfs/src/git/autosynth/working_repo/bigquery/google/cloud/bigquery_v2/types.py reformatted /tmpfs/src/git/autosynth/working_repo/bigquery/google/cloud/bigquery_v2/proto/standard_sql_pb2.py reformatted /tmpfs/src/git/autosynth/working_repo/bigquery/google/cloud/bigquery_v2/proto/model_pb2.py All done! ✨ 🍰 ✨ 8 files reformatted, 82 files left unchanged. Session blacken was successful. synthtool > Cleaned up 0 temporary directories. synthtool > Wrote metadata to synth.metadata. 

[busunkim96]

Snippets tests are failing. @googleapis/api-bigquery

[tswast]

Test failure looks like a real one.

=================================== FAILURES =================================== ______________________________ test_model_samples ______________________________ capsys = <_pytest.capture.CaptureFixture object at 0x7faf4d5a0f90> client = <google.cloud.bigquery.client.Client object at 0x7faf4dc06b90> dataset_id = 'precise-truck-742.python_samples_20190521123855_f9e4b5df' model_id = 'precise-truck-742.python_samples_20190521123855_f9e4b5df.7358590e7d5a413bbb52c37b095003a8' def test_model_samples(capsys, client, dataset_id, model_id): """Since creating a model is a long operation, test all model samples in the same test, following a typical end-to-end flow. """ > get_model.get_model(client, model_id) samples/tests/test_model_samples.py:25: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ samples/get_model.py:28: in get_model model = client.get_model(model_id) google/cloud/bigquery/client.py:467: in get_model return Model.from_api_repr(api_response) google/cloud/bigquery/model.py:282: in from_api_repr this._proto = json_format.ParseDict(resource, types.Model()) .nox/snippets-2-7/lib/python2.7/site-packages/google/protobuf/json_format.py:439: in ParseDict parser.ConvertMessage(js_dict, message) .nox/snippets-2-7/lib/python2.7/site-packages/google/protobuf/json_format.py:470: in ConvertMessage self._ConvertFieldValuePair(value, message) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <google.protobuf.json_format._Parser object at 0x7faf4d5a0110> js = {'creationTime': '1558442352137', 'etag': 'IAly/E8PvWDzQqfJoWcjCg==', 'featureColumns': [{'name': 'f1', 'type': {'typeKind': 'STRING'}}], 'labelColumns': [{'name': 'predicted_label', 'type': {'typeKind': 'FLOAT64'}}], ...} message = model_reference { project_id: "precise-truck-742" dataset_id: "python_samp...abel_columns { name: "predicted_label" type { type_kind: FLOAT64 } } def _ConvertFieldValuePair(self, js, message): """Convert field value pairs into regular message. Args: js: A JSON object to convert the field value pairs. message: A regular protocol message to record the data. Raises: ParseError: In case of problems converting. """ names = [] message_descriptor = message.DESCRIPTOR fields_by_json_name = dict((f.json_name, f) for f in message_descriptor.fields) for name in js: try: field = fields_by_json_name.get(name, None) if not field: field = message_descriptor.fields_by_name.get(name, None) if not field and _VALID_EXTENSION_NAME.match(name): if not message_descriptor.is_extendable: raise ParseError('Message type {0} does not have extensions'.format( message_descriptor.full_name)) identifier = name[1:-1] # strip [] brackets identifier = '.'.join(identifier.split('.')[:-1]) # pylint: disable=protected-access field = message.Extensions._FindExtensionByName(identifier) # pylint: enable=protected-access if not field: if self.ignore_unknown_fields: continue raise ParseError( ('Message type "{0}" has no field named "{1}".\n' ' Available Fields(except extensions): {2}').format( message_descriptor.full_name, name, [f.json_name for f in message_descriptor.fields])) if name in names: raise ParseError('Message type "{0}" should not have multiple ' '"{1}" fields.'.format( message.DESCRIPTOR.full_name, name)) names.append(name) # Check no other oneof field is parsed. if field.containing_oneof is not None: oneof_name = field.containing_oneof.name if oneof_name in names: raise ParseError('Message type "{0}" should not have multiple ' '"{1}" oneof fields.'.format( message.DESCRIPTOR.full_name, oneof_name)) names.append(oneof_name) value = js[name] if value is None: if (field.cpp_type == descriptor.FieldDescriptor.CPPTYPE_MESSAGE and field.message_type.full_name == 'google.protobuf.Value'): sub_message = getattr(message, field.name) sub_message.null_value = 0 else: message.ClearField(field.name) continue # Parse field value. if _IsMapEntry(field): message.ClearField(field.name) self._ConvertMapFieldValue(value, message, field) elif field.label == descriptor.FieldDescriptor.LABEL_REPEATED: message.ClearField(field.name) if not isinstance(value, list): raise ParseError('repeated field {0} must be in [] which is ' '{1}.'.format(name, value)) if field.cpp_type == descriptor.FieldDescriptor.CPPTYPE_MESSAGE: # Repeated message field. for item in value: sub_message = getattr(message, field.name).add() # None is a null_value in Value. if (item is None and sub_message.DESCRIPTOR.full_name != 'google.protobuf.Value'): raise ParseError('null is not allowed to be used as an element' ' in a repeated field.') self.ConvertMessage(item, sub_message) else: # Repeated scalar field. for item in value: if item is None: raise ParseError('null is not allowed to be used as an element' ' in a repeated field.') getattr(message, field.name).append( _ConvertScalarFieldValue(item, field)) elif field.cpp_type == descriptor.FieldDescriptor.CPPTYPE_MESSAGE: if field.is_extension: sub_message = message.Extensions[field] else: sub_message = getattr(message, field.name) sub_message.SetInParent() self.ConvertMessage(value, sub_message) else: setattr(message, field.name, _ConvertScalarFieldValue(value, field)) except ParseError as e: if field and field.containing_oneof is None: > raise ParseError('Failed to parse {0} field: {1}'.format(name, e)) E ParseError: Failed to parse trainingRuns field: Failed to parse trainingOptions field: Message type "google.cloud.bigquery.v2.Model.TrainingRun.TrainingOptions" has no field named "optimizationStrategy". E Available Fields(except extensions): ['maxIterations', 'lossType', 'learnRate', 'l1Regularization', 'l2Regularization', 'minRelativeProgress', 'warmStart', 'earlyStop', 'inputLabelColumns', 'dataSplitMethod', 'dataSplitEvalFraction', 'dataSplitColumn', 'learnRateStrategy', 'initialLearnRate', 'labelClassWeights', 'distanceType', 'numClusters'] 

[tswast]

Fix pending in #8083