forked from tangger/lerobot
237 lines
8.8 KiB
Python
237 lines
8.8 KiB
Python
# fmt: off
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# flake8: noqa
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# 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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import async_inference_pb2 as async__inference__pb2
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GRPC_GENERATED_VERSION = '1.71.0'
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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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+ f' but the generated code in async_inference_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 AsyncInferenceStub:
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"""AsyncInference: from Robot perspective
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Robot send observations to & executes action received from a remote Policy server
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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.SendObservations = channel.stream_unary(
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'/async_inference.AsyncInference/SendObservations',
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request_serializer=async__inference__pb2.Observation.SerializeToString,
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response_deserializer=async__inference__pb2.Empty.FromString,
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_registered_method=True)
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self.StreamActions = channel.unary_stream(
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'/async_inference.AsyncInference/StreamActions',
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request_serializer=async__inference__pb2.Empty.SerializeToString,
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response_deserializer=async__inference__pb2.Action.FromString,
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_registered_method=True)
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self.SendPolicyInstructions = channel.unary_unary(
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'/async_inference.AsyncInference/SendPolicyInstructions',
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request_serializer=async__inference__pb2.PolicySetup.SerializeToString,
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response_deserializer=async__inference__pb2.Empty.FromString,
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_registered_method=True)
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self.Ready = channel.unary_unary(
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'/async_inference.AsyncInference/Ready',
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request_serializer=async__inference__pb2.Empty.SerializeToString,
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response_deserializer=async__inference__pb2.Empty.FromString,
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_registered_method=True)
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class AsyncInferenceServicer:
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"""AsyncInference: from Robot perspective
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Robot send observations to & executes action received from a remote Policy server
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"""
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def SendObservations(self, request_iterator, context):
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"""Robot -> Policy to share observations with a remote inference server
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Policy -> Robot to share actions predicted for given observations
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"""
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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 StreamActions(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 SendPolicyInstructions(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 Ready(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_AsyncInferenceServicer_to_server(servicer, server):
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rpc_method_handlers = {
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'SendObservations': grpc.stream_unary_rpc_method_handler(
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servicer.SendObservations,
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request_deserializer=async__inference__pb2.Observation.FromString,
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response_serializer=async__inference__pb2.Empty.SerializeToString,
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),
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'StreamActions': grpc.unary_stream_rpc_method_handler(
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servicer.StreamActions,
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request_deserializer=async__inference__pb2.Empty.FromString,
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response_serializer=async__inference__pb2.Action.SerializeToString,
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),
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'SendPolicyInstructions': grpc.unary_unary_rpc_method_handler(
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servicer.SendPolicyInstructions,
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request_deserializer=async__inference__pb2.PolicySetup.FromString,
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response_serializer=async__inference__pb2.Empty.SerializeToString,
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),
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'Ready': grpc.unary_unary_rpc_method_handler(
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servicer.Ready,
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request_deserializer=async__inference__pb2.Empty.FromString,
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response_serializer=async__inference__pb2.Empty.SerializeToString,
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),
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}
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generic_handler = grpc.method_handlers_generic_handler(
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'async_inference.AsyncInference', rpc_method_handlers)
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server.add_generic_rpc_handlers((generic_handler,))
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server.add_registered_method_handlers('async_inference.AsyncInference', rpc_method_handlers)
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# This class is part of an EXPERIMENTAL API.
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class AsyncInference:
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"""AsyncInference: from Robot perspective
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Robot send observations to & executes action received from a remote Policy server
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"""
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@staticmethod
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def SendObservations(request_iterator,
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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.stream_unary(
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request_iterator,
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target,
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'/async_inference.AsyncInference/SendObservations',
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async__inference__pb2.Observation.SerializeToString,
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async__inference__pb2.Empty.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 StreamActions(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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'/async_inference.AsyncInference/StreamActions',
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async__inference__pb2.Empty.SerializeToString,
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async__inference__pb2.Action.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 SendPolicyInstructions(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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'/async_inference.AsyncInference/SendPolicyInstructions',
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async__inference__pb2.PolicySetup.SerializeToString,
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async__inference__pb2.Empty.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 Ready(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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'/async_inference.AsyncInference/Ready',
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async__inference__pb2.Empty.SerializeToString,
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async__inference__pb2.Empty.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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