# -*- coding: utf-8 -*-
#
# Copyright 2019 Google LLC
#
# 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
#
# https://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.
from __future__ import absolute_import
import sys
from google.api_core.protobuf_helpers import get_messages
from google.cloud.automl_v1beta1.proto import annotation_payload_pb2
from google.cloud.automl_v1beta1.proto import annotation_spec_pb2
from google.cloud.automl_v1beta1.proto import classification_pb2
from google.cloud.automl_v1beta1.proto import column_spec_pb2
from google.cloud.automl_v1beta1.proto import data_items_pb2
from google.cloud.automl_v1beta1.proto import data_stats_pb2
from google.cloud.automl_v1beta1.proto import data_types_pb2
from google.cloud.automl_v1beta1.proto import dataset_pb2
from google.cloud.automl_v1beta1.proto import detection_pb2
from google.cloud.automl_v1beta1.proto import geometry_pb2
from google.cloud.automl_v1beta1.proto import image_pb2
from google.cloud.automl_v1beta1.proto import io_pb2
from google.cloud.automl_v1beta1.proto import model_evaluation_pb2
from google.cloud.automl_v1beta1.proto import model_pb2
from google.cloud.automl_v1beta1.proto import operations_pb2 as proto_operations_pb2
from google.cloud.automl_v1beta1.proto import prediction_service_pb2
from google.cloud.automl_v1beta1.proto import ranges_pb2
from google.cloud.automl_v1beta1.proto import regression_pb2
from google.cloud.automl_v1beta1.proto import service_pb2
from google.cloud.automl_v1beta1.proto import table_spec_pb2
from google.cloud.automl_v1beta1.proto import tables_pb2
from google.cloud.automl_v1beta1.proto import temporal_pb2
from google.cloud.automl_v1beta1.proto import text_extraction_pb2
from google.cloud.automl_v1beta1.proto import text_pb2
from google.cloud.automl_v1beta1.proto import text_segment_pb2
from google.cloud.automl_v1beta1.proto import text_sentiment_pb2
from google.cloud.automl_v1beta1.proto import translation_pb2
from google.cloud.automl_v1beta1.proto import video_pb2
from google.longrunning import operations_pb2 as longrunning_operations_pb2
from google.protobuf import any_pb2
from google.protobuf import duration_pb2
from google.protobuf import field_mask_pb2
from google.protobuf import struct_pb2
from google.protobuf import timestamp_pb2
from google.rpc import status_pb2
_shared_modules = [
longrunning_operations_pb2,
any_pb2,
duration_pb2,
field_mask_pb2,
struct_pb2,
timestamp_pb2,
status_pb2,
]
_local_modules = [
annotation_payload_pb2,
annotation_spec_pb2,
classification_pb2,
column_spec_pb2,
data_items_pb2,
data_stats_pb2,
data_types_pb2,
dataset_pb2,
detection_pb2,
geometry_pb2,
image_pb2,
io_pb2,
model_evaluation_pb2,
model_pb2,
proto_operations_pb2,
prediction_service_pb2,
ranges_pb2,
regression_pb2,
service_pb2,
table_spec_pb2,
tables_pb2,
temporal_pb2,
text_extraction_pb2,
text_pb2,
text_segment_pb2,
text_sentiment_pb2,
translation_pb2,
video_pb2,
]
names = []
for module in _shared_modules: # pragma: NO COVER
for name, message in get_messages(module).items():
setattr(sys.modules[__name__], name, message)
names.append(name)
for module in _local_modules:
for name, message in get_messages(module).items():
message.__module__ = "google.cloud.automl_v1beta1.types"
setattr(sys.modules[__name__], name, message)
names.append(name)
__all__ = tuple(sorted(names))