276 lines
11 KiB
Python
276 lines
11 KiB
Python
# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
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"""Client and server classes corresponding to protobuf-defined services."""
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import grpc
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import warnings
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from antigravity_grpc import cloudcode_pb2 as cloudcode__pb2
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GRPC_GENERATED_VERSION = '1.80.0'
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GRPC_VERSION = grpc.__version__
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_version_not_supported = False
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try:
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from grpc._utilities import first_version_is_lower
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_version_not_supported = first_version_is_lower(GRPC_VERSION, GRPC_GENERATED_VERSION)
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except ImportError:
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_version_not_supported = True
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if _version_not_supported:
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raise RuntimeError(
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f'The grpc package installed is at version {GRPC_VERSION},'
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+ ' but the generated code in cloudcode_pb2_grpc.py depends on'
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+ f' grpcio>={GRPC_GENERATED_VERSION}.'
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+ f' Please upgrade your grpc module to grpcio>={GRPC_GENERATED_VERSION}'
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+ f' or downgrade your generated code using grpcio-tools<={GRPC_VERSION}.'
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)
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class PredictionServiceStub(object):
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"""─── Service ──────────────────────────────────────────────────────────
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"""
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def __init__(self, channel):
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"""Constructor.
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Args:
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channel: A grpc.Channel.
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"""
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self.GenerateContent = channel.unary_unary(
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'/google.internal.cloud.code.v1internal.PredictionService/GenerateContent',
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request_serializer=cloudcode__pb2.GenerateContentRequest.SerializeToString,
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response_deserializer=cloudcode__pb2.GenerateContentResponse.FromString,
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_registered_method=True)
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self.StreamGenerateContent = channel.unary_stream(
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'/google.internal.cloud.code.v1internal.PredictionService/StreamGenerateContent',
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request_serializer=cloudcode__pb2.GenerateContentRequest.SerializeToString,
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response_deserializer=cloudcode__pb2.StreamGenerateContentChunk.FromString,
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_registered_method=True)
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self.FetchAvailableModels = channel.unary_unary(
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'/google.internal.cloud.code.v1internal.PredictionService/FetchAvailableModels',
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request_serializer=cloudcode__pb2.FetchAvailableModelsRequest.SerializeToString,
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response_deserializer=cloudcode__pb2.FetchAvailableModelsResponse.FromString,
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_registered_method=True)
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self.CountTokens = channel.unary_unary(
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'/google.internal.cloud.code.v1internal.PredictionService/CountTokens',
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request_serializer=cloudcode__pb2.CountTokensRequest.SerializeToString,
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response_deserializer=cloudcode__pb2.CountTokensResponse.FromString,
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_registered_method=True)
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self.RetrieveUserQuota = channel.unary_unary(
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'/google.internal.cloud.code.v1internal.PredictionService/RetrieveUserQuota',
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request_serializer=cloudcode__pb2.RetrieveUserQuotaRequest.SerializeToString,
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response_deserializer=cloudcode__pb2.RetrieveUserQuotaResponse.FromString,
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_registered_method=True)
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class PredictionServiceServicer(object):
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"""─── Service ──────────────────────────────────────────────────────────
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"""
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def GenerateContent(self, request, context):
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"""Missing associated documentation comment in .proto file."""
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context.set_code(grpc.StatusCode.UNIMPLEMENTED)
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context.set_details('Method not implemented!')
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raise NotImplementedError('Method not implemented!')
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def StreamGenerateContent(self, request, context):
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"""Missing associated documentation comment in .proto file."""
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context.set_code(grpc.StatusCode.UNIMPLEMENTED)
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context.set_details('Method not implemented!')
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raise NotImplementedError('Method not implemented!')
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def FetchAvailableModels(self, request, context):
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"""Missing associated documentation comment in .proto file."""
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context.set_code(grpc.StatusCode.UNIMPLEMENTED)
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context.set_details('Method not implemented!')
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raise NotImplementedError('Method not implemented!')
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def CountTokens(self, request, context):
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"""Missing associated documentation comment in .proto file."""
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context.set_code(grpc.StatusCode.UNIMPLEMENTED)
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context.set_details('Method not implemented!')
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raise NotImplementedError('Method not implemented!')
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def RetrieveUserQuota(self, request, context):
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"""Missing associated documentation comment in .proto file."""
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context.set_code(grpc.StatusCode.UNIMPLEMENTED)
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context.set_details('Method not implemented!')
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raise NotImplementedError('Method not implemented!')
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def add_PredictionServiceServicer_to_server(servicer, server):
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rpc_method_handlers = {
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'GenerateContent': grpc.unary_unary_rpc_method_handler(
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servicer.GenerateContent,
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request_deserializer=cloudcode__pb2.GenerateContentRequest.FromString,
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response_serializer=cloudcode__pb2.GenerateContentResponse.SerializeToString,
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),
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'StreamGenerateContent': grpc.unary_stream_rpc_method_handler(
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servicer.StreamGenerateContent,
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request_deserializer=cloudcode__pb2.GenerateContentRequest.FromString,
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response_serializer=cloudcode__pb2.StreamGenerateContentChunk.SerializeToString,
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),
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'FetchAvailableModels': grpc.unary_unary_rpc_method_handler(
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servicer.FetchAvailableModels,
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request_deserializer=cloudcode__pb2.FetchAvailableModelsRequest.FromString,
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response_serializer=cloudcode__pb2.FetchAvailableModelsResponse.SerializeToString,
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),
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'CountTokens': grpc.unary_unary_rpc_method_handler(
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servicer.CountTokens,
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request_deserializer=cloudcode__pb2.CountTokensRequest.FromString,
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response_serializer=cloudcode__pb2.CountTokensResponse.SerializeToString,
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),
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'RetrieveUserQuota': grpc.unary_unary_rpc_method_handler(
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servicer.RetrieveUserQuota,
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request_deserializer=cloudcode__pb2.RetrieveUserQuotaRequest.FromString,
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response_serializer=cloudcode__pb2.RetrieveUserQuotaResponse.SerializeToString,
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),
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}
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generic_handler = grpc.method_handlers_generic_handler(
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'google.internal.cloud.code.v1internal.PredictionService', rpc_method_handlers)
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server.add_generic_rpc_handlers((generic_handler,))
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server.add_registered_method_handlers('google.internal.cloud.code.v1internal.PredictionService', rpc_method_handlers)
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# This class is part of an EXPERIMENTAL API.
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class PredictionService(object):
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"""─── Service ──────────────────────────────────────────────────────────
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"""
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@staticmethod
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def GenerateContent(request,
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target,
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options=(),
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channel_credentials=None,
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call_credentials=None,
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insecure=False,
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compression=None,
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wait_for_ready=None,
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timeout=None,
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metadata=None):
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return grpc.experimental.unary_unary(
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request,
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target,
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'/google.internal.cloud.code.v1internal.PredictionService/GenerateContent',
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cloudcode__pb2.GenerateContentRequest.SerializeToString,
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cloudcode__pb2.GenerateContentResponse.FromString,
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options,
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channel_credentials,
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insecure,
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call_credentials,
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compression,
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wait_for_ready,
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timeout,
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metadata,
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_registered_method=True)
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@staticmethod
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def StreamGenerateContent(request,
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target,
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options=(),
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channel_credentials=None,
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call_credentials=None,
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insecure=False,
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compression=None,
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wait_for_ready=None,
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timeout=None,
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metadata=None):
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return grpc.experimental.unary_stream(
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request,
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target,
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'/google.internal.cloud.code.v1internal.PredictionService/StreamGenerateContent',
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cloudcode__pb2.GenerateContentRequest.SerializeToString,
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cloudcode__pb2.StreamGenerateContentChunk.FromString,
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options,
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channel_credentials,
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insecure,
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call_credentials,
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compression,
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wait_for_ready,
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timeout,
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metadata,
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_registered_method=True)
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@staticmethod
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def FetchAvailableModels(request,
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target,
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options=(),
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channel_credentials=None,
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call_credentials=None,
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insecure=False,
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compression=None,
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wait_for_ready=None,
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timeout=None,
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metadata=None):
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return grpc.experimental.unary_unary(
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request,
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target,
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'/google.internal.cloud.code.v1internal.PredictionService/FetchAvailableModels',
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cloudcode__pb2.FetchAvailableModelsRequest.SerializeToString,
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cloudcode__pb2.FetchAvailableModelsResponse.FromString,
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options,
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channel_credentials,
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insecure,
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call_credentials,
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compression,
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wait_for_ready,
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timeout,
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metadata,
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_registered_method=True)
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@staticmethod
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def CountTokens(request,
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target,
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options=(),
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channel_credentials=None,
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call_credentials=None,
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insecure=False,
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compression=None,
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wait_for_ready=None,
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timeout=None,
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metadata=None):
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return grpc.experimental.unary_unary(
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request,
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target,
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'/google.internal.cloud.code.v1internal.PredictionService/CountTokens',
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cloudcode__pb2.CountTokensRequest.SerializeToString,
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cloudcode__pb2.CountTokensResponse.FromString,
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options,
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channel_credentials,
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insecure,
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call_credentials,
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compression,
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wait_for_ready,
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timeout,
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metadata,
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_registered_method=True)
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@staticmethod
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def RetrieveUserQuota(request,
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target,
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options=(),
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channel_credentials=None,
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call_credentials=None,
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insecure=False,
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compression=None,
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wait_for_ready=None,
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timeout=None,
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metadata=None):
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return grpc.experimental.unary_unary(
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request,
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target,
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'/google.internal.cloud.code.v1internal.PredictionService/RetrieveUserQuota',
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cloudcode__pb2.RetrieveUserQuotaRequest.SerializeToString,
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cloudcode__pb2.RetrieveUserQuotaResponse.FromString,
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options,
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channel_credentials,
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insecure,
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call_credentials,
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compression,
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wait_for_ready,
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timeout,
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metadata,
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_registered_method=True)
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