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# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
"""Client and server classes corresponding to protobuf-defined services."""
import grpc
import warnings
import inference_pb2 as inference__pb2
GRPC_GENERATED_VERSION = '1.63.0'
GRPC_VERSION = grpc.__version__
EXPECTED_ERROR_RELEASE = '1.65.0'
SCHEDULED_RELEASE_DATE = 'June 25, 2024'
_version_not_supported = False
try:
from grpc._utilities import first_version_is_lower
_version_not_supported = first_version_is_lower(GRPC_VERSION, GRPC_GENERATED_VERSION)
except ImportError:
_version_not_supported = True
if _version_not_supported:
warnings.warn(
f'The grpc package installed is at version {GRPC_VERSION},'
+ f' but the generated code in inference_pb2_grpc.py depends on'
+ f' grpcio>={GRPC_GENERATED_VERSION}.'
+ f' Please upgrade your grpc module to grpcio>={GRPC_GENERATED_VERSION}'
+ f' or downgrade your generated code using grpcio-tools<={GRPC_VERSION}.'
+ f' This warning will become an error in {EXPECTED_ERROR_RELEASE},'
+ f' scheduled for release on {SCHEDULED_RELEASE_DATE}.',
RuntimeWarning
)
class HairSwapServiceStub(object):
"""Missing associated documentation comment in .proto file."""
def __init__(self, channel):
"""Constructor.
Args:
channel: A grpc.Channel.
"""
self.swap = channel.unary_unary(
'/inference.HairSwapService/swap',
request_serializer=inference__pb2.HairSwapRequest.SerializeToString,
response_deserializer=inference__pb2.HairSwapResponse.FromString,
_registered_method=True)
class HairSwapServiceServicer(object):
"""Missing associated documentation comment in .proto file."""
def swap(self, request, context):
"""Missing associated documentation comment in .proto file."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def add_HairSwapServiceServicer_to_server(servicer, server):
rpc_method_handlers = {
'swap': grpc.unary_unary_rpc_method_handler(
servicer.swap,
request_deserializer=inference__pb2.HairSwapRequest.FromString,
response_serializer=inference__pb2.HairSwapResponse.SerializeToString,
),
}
generic_handler = grpc.method_handlers_generic_handler(
'inference.HairSwapService', rpc_method_handlers)
server.add_generic_rpc_handlers((generic_handler,))
# This class is part of an EXPERIMENTAL API.
class HairSwapService(object):
"""Missing associated documentation comment in .proto file."""
@staticmethod
def swap(request,
target,
options=(),
channel_credentials=None,
call_credentials=None,
insecure=False,
compression=None,
wait_for_ready=None,
timeout=None,
metadata=None):
return grpc.experimental.unary_unary(
request,
target,
'/inference.HairSwapService/swap',
inference__pb2.HairSwapRequest.SerializeToString,
inference__pb2.HairSwapResponse.FromString,
options,
channel_credentials,
insecure,
call_credentials,
compression,
wait_for_ready,
timeout,
metadata,
_registered_method=True)
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