/*
 * Copyright 2020 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.
 */
package com.google.cloud.dialogflow.v2;

import static io.grpc.MethodDescriptor.generateFullMethodName;

/**
 *
 *
 * <pre>
 * Manages a collection of models for human agent assistant.
 * </pre>
 */
@javax.annotation.Generated(
    value = "by gRPC proto compiler",
    comments = "Source: google/cloud/dialogflow/v2/conversation_model.proto")
@io.grpc.stub.annotations.GrpcGenerated
public final class ConversationModelsGrpc {

  private ConversationModelsGrpc() {}

  public static final String SERVICE_NAME = "google.cloud.dialogflow.v2.ConversationModels";

  // Static method descriptors that strictly reflect the proto.
  private static volatile io.grpc.MethodDescriptor<
          com.google.cloud.dialogflow.v2.CreateConversationModelRequest,
          com.google.longrunning.Operation>
      getCreateConversationModelMethod;

  @io.grpc.stub.annotations.RpcMethod(
      fullMethodName = SERVICE_NAME + '/' + "CreateConversationModel",
      requestType = com.google.cloud.dialogflow.v2.CreateConversationModelRequest.class,
      responseType = com.google.longrunning.Operation.class,
      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
  public static io.grpc.MethodDescriptor<
          com.google.cloud.dialogflow.v2.CreateConversationModelRequest,
          com.google.longrunning.Operation>
      getCreateConversationModelMethod() {
    io.grpc.MethodDescriptor<
            com.google.cloud.dialogflow.v2.CreateConversationModelRequest,
            com.google.longrunning.Operation>
        getCreateConversationModelMethod;
    if ((getCreateConversationModelMethod = ConversationModelsGrpc.getCreateConversationModelMethod)
        == null) {
      synchronized (ConversationModelsGrpc.class) {
        if ((getCreateConversationModelMethod =
                ConversationModelsGrpc.getCreateConversationModelMethod)
            == null) {
          ConversationModelsGrpc.getCreateConversationModelMethod =
              getCreateConversationModelMethod =
                  io.grpc.MethodDescriptor
                      .<com.google.cloud.dialogflow.v2.CreateConversationModelRequest,
                          com.google.longrunning.Operation>
                          newBuilder()
                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
                      .setFullMethodName(
                          generateFullMethodName(SERVICE_NAME, "CreateConversationModel"))
                      .setSampledToLocalTracing(true)
                      .setRequestMarshaller(
                          io.grpc.protobuf.ProtoUtils.marshaller(
                              com.google.cloud.dialogflow.v2.CreateConversationModelRequest
                                  .getDefaultInstance()))
                      .setResponseMarshaller(
                          io.grpc.protobuf.ProtoUtils.marshaller(
                              com.google.longrunning.Operation.getDefaultInstance()))
                      .setSchemaDescriptor(
                          new ConversationModelsMethodDescriptorSupplier("CreateConversationModel"))
                      .build();
        }
      }
    }
    return getCreateConversationModelMethod;
  }

  private static volatile io.grpc.MethodDescriptor<
          com.google.cloud.dialogflow.v2.GetConversationModelRequest,
          com.google.cloud.dialogflow.v2.ConversationModel>
      getGetConversationModelMethod;

  @io.grpc.stub.annotations.RpcMethod(
      fullMethodName = SERVICE_NAME + '/' + "GetConversationModel",
      requestType = com.google.cloud.dialogflow.v2.GetConversationModelRequest.class,
      responseType = com.google.cloud.dialogflow.v2.ConversationModel.class,
      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
  public static io.grpc.MethodDescriptor<
          com.google.cloud.dialogflow.v2.GetConversationModelRequest,
          com.google.cloud.dialogflow.v2.ConversationModel>
      getGetConversationModelMethod() {
    io.grpc.MethodDescriptor<
            com.google.cloud.dialogflow.v2.GetConversationModelRequest,
            com.google.cloud.dialogflow.v2.ConversationModel>
        getGetConversationModelMethod;
    if ((getGetConversationModelMethod = ConversationModelsGrpc.getGetConversationModelMethod)
        == null) {
      synchronized (ConversationModelsGrpc.class) {
        if ((getGetConversationModelMethod = ConversationModelsGrpc.getGetConversationModelMethod)
            == null) {
          ConversationModelsGrpc.getGetConversationModelMethod =
              getGetConversationModelMethod =
                  io.grpc.MethodDescriptor
                      .<com.google.cloud.dialogflow.v2.GetConversationModelRequest,
                          com.google.cloud.dialogflow.v2.ConversationModel>
                          newBuilder()
                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
                      .setFullMethodName(
                          generateFullMethodName(SERVICE_NAME, "GetConversationModel"))
                      .setSampledToLocalTracing(true)
                      .setRequestMarshaller(
                          io.grpc.protobuf.ProtoUtils.marshaller(
                              com.google.cloud.dialogflow.v2.GetConversationModelRequest
                                  .getDefaultInstance()))
                      .setResponseMarshaller(
                          io.grpc.protobuf.ProtoUtils.marshaller(
                              com.google.cloud.dialogflow.v2.ConversationModel
                                  .getDefaultInstance()))
                      .setSchemaDescriptor(
                          new ConversationModelsMethodDescriptorSupplier("GetConversationModel"))
                      .build();
        }
      }
    }
    return getGetConversationModelMethod;
  }

  private static volatile io.grpc.MethodDescriptor<
          com.google.cloud.dialogflow.v2.ListConversationModelsRequest,
          com.google.cloud.dialogflow.v2.ListConversationModelsResponse>
      getListConversationModelsMethod;

  @io.grpc.stub.annotations.RpcMethod(
      fullMethodName = SERVICE_NAME + '/' + "ListConversationModels",
      requestType = com.google.cloud.dialogflow.v2.ListConversationModelsRequest.class,
      responseType = com.google.cloud.dialogflow.v2.ListConversationModelsResponse.class,
      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
  public static io.grpc.MethodDescriptor<
          com.google.cloud.dialogflow.v2.ListConversationModelsRequest,
          com.google.cloud.dialogflow.v2.ListConversationModelsResponse>
      getListConversationModelsMethod() {
    io.grpc.MethodDescriptor<
            com.google.cloud.dialogflow.v2.ListConversationModelsRequest,
            com.google.cloud.dialogflow.v2.ListConversationModelsResponse>
        getListConversationModelsMethod;
    if ((getListConversationModelsMethod = ConversationModelsGrpc.getListConversationModelsMethod)
        == null) {
      synchronized (ConversationModelsGrpc.class) {
        if ((getListConversationModelsMethod =
                ConversationModelsGrpc.getListConversationModelsMethod)
            == null) {
          ConversationModelsGrpc.getListConversationModelsMethod =
              getListConversationModelsMethod =
                  io.grpc.MethodDescriptor
                      .<com.google.cloud.dialogflow.v2.ListConversationModelsRequest,
                          com.google.cloud.dialogflow.v2.ListConversationModelsResponse>
                          newBuilder()
                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
                      .setFullMethodName(
                          generateFullMethodName(SERVICE_NAME, "ListConversationModels"))
                      .setSampledToLocalTracing(true)
                      .setRequestMarshaller(
                          io.grpc.protobuf.ProtoUtils.marshaller(
                              com.google.cloud.dialogflow.v2.ListConversationModelsRequest
                                  .getDefaultInstance()))
                      .setResponseMarshaller(
                          io.grpc.protobuf.ProtoUtils.marshaller(
                              com.google.cloud.dialogflow.v2.ListConversationModelsResponse
                                  .getDefaultInstance()))
                      .setSchemaDescriptor(
                          new ConversationModelsMethodDescriptorSupplier("ListConversationModels"))
                      .build();
        }
      }
    }
    return getListConversationModelsMethod;
  }

  private static volatile io.grpc.MethodDescriptor<
          com.google.cloud.dialogflow.v2.DeleteConversationModelRequest,
          com.google.longrunning.Operation>
      getDeleteConversationModelMethod;

  @io.grpc.stub.annotations.RpcMethod(
      fullMethodName = SERVICE_NAME + '/' + "DeleteConversationModel",
      requestType = com.google.cloud.dialogflow.v2.DeleteConversationModelRequest.class,
      responseType = com.google.longrunning.Operation.class,
      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
  public static io.grpc.MethodDescriptor<
          com.google.cloud.dialogflow.v2.DeleteConversationModelRequest,
          com.google.longrunning.Operation>
      getDeleteConversationModelMethod() {
    io.grpc.MethodDescriptor<
            com.google.cloud.dialogflow.v2.DeleteConversationModelRequest,
            com.google.longrunning.Operation>
        getDeleteConversationModelMethod;
    if ((getDeleteConversationModelMethod = ConversationModelsGrpc.getDeleteConversationModelMethod)
        == null) {
      synchronized (ConversationModelsGrpc.class) {
        if ((getDeleteConversationModelMethod =
                ConversationModelsGrpc.getDeleteConversationModelMethod)
            == null) {
          ConversationModelsGrpc.getDeleteConversationModelMethod =
              getDeleteConversationModelMethod =
                  io.grpc.MethodDescriptor
                      .<com.google.cloud.dialogflow.v2.DeleteConversationModelRequest,
                          com.google.longrunning.Operation>
                          newBuilder()
                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
                      .setFullMethodName(
                          generateFullMethodName(SERVICE_NAME, "DeleteConversationModel"))
                      .setSampledToLocalTracing(true)
                      .setRequestMarshaller(
                          io.grpc.protobuf.ProtoUtils.marshaller(
                              com.google.cloud.dialogflow.v2.DeleteConversationModelRequest
                                  .getDefaultInstance()))
                      .setResponseMarshaller(
                          io.grpc.protobuf.ProtoUtils.marshaller(
                              com.google.longrunning.Operation.getDefaultInstance()))
                      .setSchemaDescriptor(
                          new ConversationModelsMethodDescriptorSupplier("DeleteConversationModel"))
                      .build();
        }
      }
    }
    return getDeleteConversationModelMethod;
  }

  private static volatile io.grpc.MethodDescriptor<
          com.google.cloud.dialogflow.v2.DeployConversationModelRequest,
          com.google.longrunning.Operation>
      getDeployConversationModelMethod;

  @io.grpc.stub.annotations.RpcMethod(
      fullMethodName = SERVICE_NAME + '/' + "DeployConversationModel",
      requestType = com.google.cloud.dialogflow.v2.DeployConversationModelRequest.class,
      responseType = com.google.longrunning.Operation.class,
      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
  public static io.grpc.MethodDescriptor<
          com.google.cloud.dialogflow.v2.DeployConversationModelRequest,
          com.google.longrunning.Operation>
      getDeployConversationModelMethod() {
    io.grpc.MethodDescriptor<
            com.google.cloud.dialogflow.v2.DeployConversationModelRequest,
            com.google.longrunning.Operation>
        getDeployConversationModelMethod;
    if ((getDeployConversationModelMethod = ConversationModelsGrpc.getDeployConversationModelMethod)
        == null) {
      synchronized (ConversationModelsGrpc.class) {
        if ((getDeployConversationModelMethod =
                ConversationModelsGrpc.getDeployConversationModelMethod)
            == null) {
          ConversationModelsGrpc.getDeployConversationModelMethod =
              getDeployConversationModelMethod =
                  io.grpc.MethodDescriptor
                      .<com.google.cloud.dialogflow.v2.DeployConversationModelRequest,
                          com.google.longrunning.Operation>
                          newBuilder()
                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
                      .setFullMethodName(
                          generateFullMethodName(SERVICE_NAME, "DeployConversationModel"))
                      .setSampledToLocalTracing(true)
                      .setRequestMarshaller(
                          io.grpc.protobuf.ProtoUtils.marshaller(
                              com.google.cloud.dialogflow.v2.DeployConversationModelRequest
                                  .getDefaultInstance()))
                      .setResponseMarshaller(
                          io.grpc.protobuf.ProtoUtils.marshaller(
                              com.google.longrunning.Operation.getDefaultInstance()))
                      .setSchemaDescriptor(
                          new ConversationModelsMethodDescriptorSupplier("DeployConversationModel"))
                      .build();
        }
      }
    }
    return getDeployConversationModelMethod;
  }

  private static volatile io.grpc.MethodDescriptor<
          com.google.cloud.dialogflow.v2.UndeployConversationModelRequest,
          com.google.longrunning.Operation>
      getUndeployConversationModelMethod;

  @io.grpc.stub.annotations.RpcMethod(
      fullMethodName = SERVICE_NAME + '/' + "UndeployConversationModel",
      requestType = com.google.cloud.dialogflow.v2.UndeployConversationModelRequest.class,
      responseType = com.google.longrunning.Operation.class,
      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
  public static io.grpc.MethodDescriptor<
          com.google.cloud.dialogflow.v2.UndeployConversationModelRequest,
          com.google.longrunning.Operation>
      getUndeployConversationModelMethod() {
    io.grpc.MethodDescriptor<
            com.google.cloud.dialogflow.v2.UndeployConversationModelRequest,
            com.google.longrunning.Operation>
        getUndeployConversationModelMethod;
    if ((getUndeployConversationModelMethod =
            ConversationModelsGrpc.getUndeployConversationModelMethod)
        == null) {
      synchronized (ConversationModelsGrpc.class) {
        if ((getUndeployConversationModelMethod =
                ConversationModelsGrpc.getUndeployConversationModelMethod)
            == null) {
          ConversationModelsGrpc.getUndeployConversationModelMethod =
              getUndeployConversationModelMethod =
                  io.grpc.MethodDescriptor
                      .<com.google.cloud.dialogflow.v2.UndeployConversationModelRequest,
                          com.google.longrunning.Operation>
                          newBuilder()
                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
                      .setFullMethodName(
                          generateFullMethodName(SERVICE_NAME, "UndeployConversationModel"))
                      .setSampledToLocalTracing(true)
                      .setRequestMarshaller(
                          io.grpc.protobuf.ProtoUtils.marshaller(
                              com.google.cloud.dialogflow.v2.UndeployConversationModelRequest
                                  .getDefaultInstance()))
                      .setResponseMarshaller(
                          io.grpc.protobuf.ProtoUtils.marshaller(
                              com.google.longrunning.Operation.getDefaultInstance()))
                      .setSchemaDescriptor(
                          new ConversationModelsMethodDescriptorSupplier(
                              "UndeployConversationModel"))
                      .build();
        }
      }
    }
    return getUndeployConversationModelMethod;
  }

  private static volatile io.grpc.MethodDescriptor<
          com.google.cloud.dialogflow.v2.GetConversationModelEvaluationRequest,
          com.google.cloud.dialogflow.v2.ConversationModelEvaluation>
      getGetConversationModelEvaluationMethod;

  @io.grpc.stub.annotations.RpcMethod(
      fullMethodName = SERVICE_NAME + '/' + "GetConversationModelEvaluation",
      requestType = com.google.cloud.dialogflow.v2.GetConversationModelEvaluationRequest.class,
      responseType = com.google.cloud.dialogflow.v2.ConversationModelEvaluation.class,
      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
  public static io.grpc.MethodDescriptor<
          com.google.cloud.dialogflow.v2.GetConversationModelEvaluationRequest,
          com.google.cloud.dialogflow.v2.ConversationModelEvaluation>
      getGetConversationModelEvaluationMethod() {
    io.grpc.MethodDescriptor<
            com.google.cloud.dialogflow.v2.GetConversationModelEvaluationRequest,
            com.google.cloud.dialogflow.v2.ConversationModelEvaluation>
        getGetConversationModelEvaluationMethod;
    if ((getGetConversationModelEvaluationMethod =
            ConversationModelsGrpc.getGetConversationModelEvaluationMethod)
        == null) {
      synchronized (ConversationModelsGrpc.class) {
        if ((getGetConversationModelEvaluationMethod =
                ConversationModelsGrpc.getGetConversationModelEvaluationMethod)
            == null) {
          ConversationModelsGrpc.getGetConversationModelEvaluationMethod =
              getGetConversationModelEvaluationMethod =
                  io.grpc.MethodDescriptor
                      .<com.google.cloud.dialogflow.v2.GetConversationModelEvaluationRequest,
                          com.google.cloud.dialogflow.v2.ConversationModelEvaluation>
                          newBuilder()
                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
                      .setFullMethodName(
                          generateFullMethodName(SERVICE_NAME, "GetConversationModelEvaluation"))
                      .setSampledToLocalTracing(true)
                      .setRequestMarshaller(
                          io.grpc.protobuf.ProtoUtils.marshaller(
                              com.google.cloud.dialogflow.v2.GetConversationModelEvaluationRequest
                                  .getDefaultInstance()))
                      .setResponseMarshaller(
                          io.grpc.protobuf.ProtoUtils.marshaller(
                              com.google.cloud.dialogflow.v2.ConversationModelEvaluation
                                  .getDefaultInstance()))
                      .setSchemaDescriptor(
                          new ConversationModelsMethodDescriptorSupplier(
                              "GetConversationModelEvaluation"))
                      .build();
        }
      }
    }
    return getGetConversationModelEvaluationMethod;
  }

  private static volatile io.grpc.MethodDescriptor<
          com.google.cloud.dialogflow.v2.ListConversationModelEvaluationsRequest,
          com.google.cloud.dialogflow.v2.ListConversationModelEvaluationsResponse>
      getListConversationModelEvaluationsMethod;

  @io.grpc.stub.annotations.RpcMethod(
      fullMethodName = SERVICE_NAME + '/' + "ListConversationModelEvaluations",
      requestType = com.google.cloud.dialogflow.v2.ListConversationModelEvaluationsRequest.class,
      responseType = com.google.cloud.dialogflow.v2.ListConversationModelEvaluationsResponse.class,
      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
  public static io.grpc.MethodDescriptor<
          com.google.cloud.dialogflow.v2.ListConversationModelEvaluationsRequest,
          com.google.cloud.dialogflow.v2.ListConversationModelEvaluationsResponse>
      getListConversationModelEvaluationsMethod() {
    io.grpc.MethodDescriptor<
            com.google.cloud.dialogflow.v2.ListConversationModelEvaluationsRequest,
            com.google.cloud.dialogflow.v2.ListConversationModelEvaluationsResponse>
        getListConversationModelEvaluationsMethod;
    if ((getListConversationModelEvaluationsMethod =
            ConversationModelsGrpc.getListConversationModelEvaluationsMethod)
        == null) {
      synchronized (ConversationModelsGrpc.class) {
        if ((getListConversationModelEvaluationsMethod =
                ConversationModelsGrpc.getListConversationModelEvaluationsMethod)
            == null) {
          ConversationModelsGrpc.getListConversationModelEvaluationsMethod =
              getListConversationModelEvaluationsMethod =
                  io.grpc.MethodDescriptor
                      .<com.google.cloud.dialogflow.v2.ListConversationModelEvaluationsRequest,
                          com.google.cloud.dialogflow.v2.ListConversationModelEvaluationsResponse>
                          newBuilder()
                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
                      .setFullMethodName(
                          generateFullMethodName(SERVICE_NAME, "ListConversationModelEvaluations"))
                      .setSampledToLocalTracing(true)
                      .setRequestMarshaller(
                          io.grpc.protobuf.ProtoUtils.marshaller(
                              com.google.cloud.dialogflow.v2.ListConversationModelEvaluationsRequest
                                  .getDefaultInstance()))
                      .setResponseMarshaller(
                          io.grpc.protobuf.ProtoUtils.marshaller(
                              com.google.cloud.dialogflow.v2
                                  .ListConversationModelEvaluationsResponse.getDefaultInstance()))
                      .setSchemaDescriptor(
                          new ConversationModelsMethodDescriptorSupplier(
                              "ListConversationModelEvaluations"))
                      .build();
        }
      }
    }
    return getListConversationModelEvaluationsMethod;
  }

  private static volatile io.grpc.MethodDescriptor<
          com.google.cloud.dialogflow.v2.CreateConversationModelEvaluationRequest,
          com.google.longrunning.Operation>
      getCreateConversationModelEvaluationMethod;

  @io.grpc.stub.annotations.RpcMethod(
      fullMethodName = SERVICE_NAME + '/' + "CreateConversationModelEvaluation",
      requestType = com.google.cloud.dialogflow.v2.CreateConversationModelEvaluationRequest.class,
      responseType = com.google.longrunning.Operation.class,
      methodType = io.grpc.MethodDescriptor.MethodType.UNARY)
  public static io.grpc.MethodDescriptor<
          com.google.cloud.dialogflow.v2.CreateConversationModelEvaluationRequest,
          com.google.longrunning.Operation>
      getCreateConversationModelEvaluationMethod() {
    io.grpc.MethodDescriptor<
            com.google.cloud.dialogflow.v2.CreateConversationModelEvaluationRequest,
            com.google.longrunning.Operation>
        getCreateConversationModelEvaluationMethod;
    if ((getCreateConversationModelEvaluationMethod =
            ConversationModelsGrpc.getCreateConversationModelEvaluationMethod)
        == null) {
      synchronized (ConversationModelsGrpc.class) {
        if ((getCreateConversationModelEvaluationMethod =
                ConversationModelsGrpc.getCreateConversationModelEvaluationMethod)
            == null) {
          ConversationModelsGrpc.getCreateConversationModelEvaluationMethod =
              getCreateConversationModelEvaluationMethod =
                  io.grpc.MethodDescriptor
                      .<com.google.cloud.dialogflow.v2.CreateConversationModelEvaluationRequest,
                          com.google.longrunning.Operation>
                          newBuilder()
                      .setType(io.grpc.MethodDescriptor.MethodType.UNARY)
                      .setFullMethodName(
                          generateFullMethodName(SERVICE_NAME, "CreateConversationModelEvaluation"))
                      .setSampledToLocalTracing(true)
                      .setRequestMarshaller(
                          io.grpc.protobuf.ProtoUtils.marshaller(
                              com.google.cloud.dialogflow.v2
                                  .CreateConversationModelEvaluationRequest.getDefaultInstance()))
                      .setResponseMarshaller(
                          io.grpc.protobuf.ProtoUtils.marshaller(
                              com.google.longrunning.Operation.getDefaultInstance()))
                      .setSchemaDescriptor(
                          new ConversationModelsMethodDescriptorSupplier(
                              "CreateConversationModelEvaluation"))
                      .build();
        }
      }
    }
    return getCreateConversationModelEvaluationMethod;
  }

  /** Creates a new async stub that supports all call types for the service */
  public static ConversationModelsStub newStub(io.grpc.Channel channel) {
    io.grpc.stub.AbstractStub.StubFactory<ConversationModelsStub> factory =
        new io.grpc.stub.AbstractStub.StubFactory<ConversationModelsStub>() {
          @java.lang.Override
          public ConversationModelsStub newStub(
              io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
            return new ConversationModelsStub(channel, callOptions);
          }
        };
    return ConversationModelsStub.newStub(factory, channel);
  }

  /**
   * Creates a new blocking-style stub that supports unary and streaming output calls on the service
   */
  public static ConversationModelsBlockingStub newBlockingStub(io.grpc.Channel channel) {
    io.grpc.stub.AbstractStub.StubFactory<ConversationModelsBlockingStub> factory =
        new io.grpc.stub.AbstractStub.StubFactory<ConversationModelsBlockingStub>() {
          @java.lang.Override
          public ConversationModelsBlockingStub newStub(
              io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
            return new ConversationModelsBlockingStub(channel, callOptions);
          }
        };
    return ConversationModelsBlockingStub.newStub(factory, channel);
  }

  /** Creates a new ListenableFuture-style stub that supports unary calls on the service */
  public static ConversationModelsFutureStub newFutureStub(io.grpc.Channel channel) {
    io.grpc.stub.AbstractStub.StubFactory<ConversationModelsFutureStub> factory =
        new io.grpc.stub.AbstractStub.StubFactory<ConversationModelsFutureStub>() {
          @java.lang.Override
          public ConversationModelsFutureStub newStub(
              io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
            return new ConversationModelsFutureStub(channel, callOptions);
          }
        };
    return ConversationModelsFutureStub.newStub(factory, channel);
  }

  /**
   *
   *
   * <pre>
   * Manages a collection of models for human agent assistant.
   * </pre>
   */
  public interface AsyncService {

    /**
     *
     *
     * <pre>
     * Creates a model.
     * This method is a [long-running
     * operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations).
     * The returned `Operation` type has the following method-specific fields:
     * - `metadata`:
     * [CreateConversationModelOperationMetadata][google.cloud.dialogflow.v2.CreateConversationModelOperationMetadata]
     * - `response`:
     * [ConversationModel][google.cloud.dialogflow.v2.ConversationModel]
     * </pre>
     */
    default void createConversationModel(
        com.google.cloud.dialogflow.v2.CreateConversationModelRequest request,
        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
      io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall(
          getCreateConversationModelMethod(), responseObserver);
    }

    /**
     *
     *
     * <pre>
     * Gets conversation model.
     * </pre>
     */
    default void getConversationModel(
        com.google.cloud.dialogflow.v2.GetConversationModelRequest request,
        io.grpc.stub.StreamObserver<com.google.cloud.dialogflow.v2.ConversationModel>
            responseObserver) {
      io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall(
          getGetConversationModelMethod(), responseObserver);
    }

    /**
     *
     *
     * <pre>
     * Lists conversation models.
     * </pre>
     */
    default void listConversationModels(
        com.google.cloud.dialogflow.v2.ListConversationModelsRequest request,
        io.grpc.stub.StreamObserver<com.google.cloud.dialogflow.v2.ListConversationModelsResponse>
            responseObserver) {
      io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall(
          getListConversationModelsMethod(), responseObserver);
    }

    /**
     *
     *
     * <pre>
     * Deletes a model.
     * This method is a [long-running
     * operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations).
     * The returned `Operation` type has the following method-specific fields:
     * - `metadata`:
     * [DeleteConversationModelOperationMetadata][google.cloud.dialogflow.v2.DeleteConversationModelOperationMetadata]
     * - `response`: An [Empty
     *   message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty)
     * </pre>
     */
    default void deleteConversationModel(
        com.google.cloud.dialogflow.v2.DeleteConversationModelRequest request,
        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
      io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall(
          getDeleteConversationModelMethod(), responseObserver);
    }

    /**
     *
     *
     * <pre>
     * Deploys a model. If a model is already deployed, deploying it
     * has no effect. A model can only serve prediction requests after it gets
     * deployed. For article suggestion, custom model will not be used unless
     * it is deployed.
     * This method is a [long-running
     * operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations).
     * The returned `Operation` type has the following method-specific fields:
     * - `metadata`:
     * [DeployConversationModelOperationMetadata][google.cloud.dialogflow.v2.DeployConversationModelOperationMetadata]
     * - `response`: An [Empty
     *   message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty)
     * </pre>
     */
    default void deployConversationModel(
        com.google.cloud.dialogflow.v2.DeployConversationModelRequest request,
        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
      io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall(
          getDeployConversationModelMethod(), responseObserver);
    }

    /**
     *
     *
     * <pre>
     * Undeploys a model. If the model is not deployed this method has no effect.
     * If the model is currently being used:
     *   - For article suggestion, article suggestion will fallback to the default
     *     model if model is undeployed.
     * This method is a [long-running
     * operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations).
     * The returned `Operation` type has the following method-specific fields:
     * - `metadata`:
     * [UndeployConversationModelOperationMetadata][google.cloud.dialogflow.v2.UndeployConversationModelOperationMetadata]
     * - `response`: An [Empty
     *   message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty)
     * </pre>
     */
    default void undeployConversationModel(
        com.google.cloud.dialogflow.v2.UndeployConversationModelRequest request,
        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
      io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall(
          getUndeployConversationModelMethod(), responseObserver);
    }

    /**
     *
     *
     * <pre>
     * Gets an evaluation of conversation model.
     * </pre>
     */
    default void getConversationModelEvaluation(
        com.google.cloud.dialogflow.v2.GetConversationModelEvaluationRequest request,
        io.grpc.stub.StreamObserver<com.google.cloud.dialogflow.v2.ConversationModelEvaluation>
            responseObserver) {
      io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall(
          getGetConversationModelEvaluationMethod(), responseObserver);
    }

    /**
     *
     *
     * <pre>
     * Lists evaluations of a conversation model.
     * </pre>
     */
    default void listConversationModelEvaluations(
        com.google.cloud.dialogflow.v2.ListConversationModelEvaluationsRequest request,
        io.grpc.stub.StreamObserver<
                com.google.cloud.dialogflow.v2.ListConversationModelEvaluationsResponse>
            responseObserver) {
      io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall(
          getListConversationModelEvaluationsMethod(), responseObserver);
    }

    /**
     *
     *
     * <pre>
     * Creates evaluation of a conversation model.
     * </pre>
     */
    default void createConversationModelEvaluation(
        com.google.cloud.dialogflow.v2.CreateConversationModelEvaluationRequest request,
        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
      io.grpc.stub.ServerCalls.asyncUnimplementedUnaryCall(
          getCreateConversationModelEvaluationMethod(), responseObserver);
    }
  }

  /**
   * Base class for the server implementation of the service ConversationModels.
   *
   * <pre>
   * Manages a collection of models for human agent assistant.
   * </pre>
   */
  public abstract static class ConversationModelsImplBase
      implements io.grpc.BindableService, AsyncService {

    @java.lang.Override
    public final io.grpc.ServerServiceDefinition bindService() {
      return ConversationModelsGrpc.bindService(this);
    }
  }

  /**
   * A stub to allow clients to do asynchronous rpc calls to service ConversationModels.
   *
   * <pre>
   * Manages a collection of models for human agent assistant.
   * </pre>
   */
  public static final class ConversationModelsStub
      extends io.grpc.stub.AbstractAsyncStub<ConversationModelsStub> {
    private ConversationModelsStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
      super(channel, callOptions);
    }

    @java.lang.Override
    protected ConversationModelsStub build(
        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
      return new ConversationModelsStub(channel, callOptions);
    }

    /**
     *
     *
     * <pre>
     * Creates a model.
     * This method is a [long-running
     * operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations).
     * The returned `Operation` type has the following method-specific fields:
     * - `metadata`:
     * [CreateConversationModelOperationMetadata][google.cloud.dialogflow.v2.CreateConversationModelOperationMetadata]
     * - `response`:
     * [ConversationModel][google.cloud.dialogflow.v2.ConversationModel]
     * </pre>
     */
    public void createConversationModel(
        com.google.cloud.dialogflow.v2.CreateConversationModelRequest request,
        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
      io.grpc.stub.ClientCalls.asyncUnaryCall(
          getChannel().newCall(getCreateConversationModelMethod(), getCallOptions()),
          request,
          responseObserver);
    }

    /**
     *
     *
     * <pre>
     * Gets conversation model.
     * </pre>
     */
    public void getConversationModel(
        com.google.cloud.dialogflow.v2.GetConversationModelRequest request,
        io.grpc.stub.StreamObserver<com.google.cloud.dialogflow.v2.ConversationModel>
            responseObserver) {
      io.grpc.stub.ClientCalls.asyncUnaryCall(
          getChannel().newCall(getGetConversationModelMethod(), getCallOptions()),
          request,
          responseObserver);
    }

    /**
     *
     *
     * <pre>
     * Lists conversation models.
     * </pre>
     */
    public void listConversationModels(
        com.google.cloud.dialogflow.v2.ListConversationModelsRequest request,
        io.grpc.stub.StreamObserver<com.google.cloud.dialogflow.v2.ListConversationModelsResponse>
            responseObserver) {
      io.grpc.stub.ClientCalls.asyncUnaryCall(
          getChannel().newCall(getListConversationModelsMethod(), getCallOptions()),
          request,
          responseObserver);
    }

    /**
     *
     *
     * <pre>
     * Deletes a model.
     * This method is a [long-running
     * operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations).
     * The returned `Operation` type has the following method-specific fields:
     * - `metadata`:
     * [DeleteConversationModelOperationMetadata][google.cloud.dialogflow.v2.DeleteConversationModelOperationMetadata]
     * - `response`: An [Empty
     *   message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty)
     * </pre>
     */
    public void deleteConversationModel(
        com.google.cloud.dialogflow.v2.DeleteConversationModelRequest request,
        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
      io.grpc.stub.ClientCalls.asyncUnaryCall(
          getChannel().newCall(getDeleteConversationModelMethod(), getCallOptions()),
          request,
          responseObserver);
    }

    /**
     *
     *
     * <pre>
     * Deploys a model. If a model is already deployed, deploying it
     * has no effect. A model can only serve prediction requests after it gets
     * deployed. For article suggestion, custom model will not be used unless
     * it is deployed.
     * This method is a [long-running
     * operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations).
     * The returned `Operation` type has the following method-specific fields:
     * - `metadata`:
     * [DeployConversationModelOperationMetadata][google.cloud.dialogflow.v2.DeployConversationModelOperationMetadata]
     * - `response`: An [Empty
     *   message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty)
     * </pre>
     */
    public void deployConversationModel(
        com.google.cloud.dialogflow.v2.DeployConversationModelRequest request,
        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
      io.grpc.stub.ClientCalls.asyncUnaryCall(
          getChannel().newCall(getDeployConversationModelMethod(), getCallOptions()),
          request,
          responseObserver);
    }

    /**
     *
     *
     * <pre>
     * Undeploys a model. If the model is not deployed this method has no effect.
     * If the model is currently being used:
     *   - For article suggestion, article suggestion will fallback to the default
     *     model if model is undeployed.
     * This method is a [long-running
     * operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations).
     * The returned `Operation` type has the following method-specific fields:
     * - `metadata`:
     * [UndeployConversationModelOperationMetadata][google.cloud.dialogflow.v2.UndeployConversationModelOperationMetadata]
     * - `response`: An [Empty
     *   message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty)
     * </pre>
     */
    public void undeployConversationModel(
        com.google.cloud.dialogflow.v2.UndeployConversationModelRequest request,
        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
      io.grpc.stub.ClientCalls.asyncUnaryCall(
          getChannel().newCall(getUndeployConversationModelMethod(), getCallOptions()),
          request,
          responseObserver);
    }

    /**
     *
     *
     * <pre>
     * Gets an evaluation of conversation model.
     * </pre>
     */
    public void getConversationModelEvaluation(
        com.google.cloud.dialogflow.v2.GetConversationModelEvaluationRequest request,
        io.grpc.stub.StreamObserver<com.google.cloud.dialogflow.v2.ConversationModelEvaluation>
            responseObserver) {
      io.grpc.stub.ClientCalls.asyncUnaryCall(
          getChannel().newCall(getGetConversationModelEvaluationMethod(), getCallOptions()),
          request,
          responseObserver);
    }

    /**
     *
     *
     * <pre>
     * Lists evaluations of a conversation model.
     * </pre>
     */
    public void listConversationModelEvaluations(
        com.google.cloud.dialogflow.v2.ListConversationModelEvaluationsRequest request,
        io.grpc.stub.StreamObserver<
                com.google.cloud.dialogflow.v2.ListConversationModelEvaluationsResponse>
            responseObserver) {
      io.grpc.stub.ClientCalls.asyncUnaryCall(
          getChannel().newCall(getListConversationModelEvaluationsMethod(), getCallOptions()),
          request,
          responseObserver);
    }

    /**
     *
     *
     * <pre>
     * Creates evaluation of a conversation model.
     * </pre>
     */
    public void createConversationModelEvaluation(
        com.google.cloud.dialogflow.v2.CreateConversationModelEvaluationRequest request,
        io.grpc.stub.StreamObserver<com.google.longrunning.Operation> responseObserver) {
      io.grpc.stub.ClientCalls.asyncUnaryCall(
          getChannel().newCall(getCreateConversationModelEvaluationMethod(), getCallOptions()),
          request,
          responseObserver);
    }
  }

  /**
   * A stub to allow clients to do synchronous rpc calls to service ConversationModels.
   *
   * <pre>
   * Manages a collection of models for human agent assistant.
   * </pre>
   */
  public static final class ConversationModelsBlockingStub
      extends io.grpc.stub.AbstractBlockingStub<ConversationModelsBlockingStub> {
    private ConversationModelsBlockingStub(
        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
      super(channel, callOptions);
    }

    @java.lang.Override
    protected ConversationModelsBlockingStub build(
        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
      return new ConversationModelsBlockingStub(channel, callOptions);
    }

    /**
     *
     *
     * <pre>
     * Creates a model.
     * This method is a [long-running
     * operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations).
     * The returned `Operation` type has the following method-specific fields:
     * - `metadata`:
     * [CreateConversationModelOperationMetadata][google.cloud.dialogflow.v2.CreateConversationModelOperationMetadata]
     * - `response`:
     * [ConversationModel][google.cloud.dialogflow.v2.ConversationModel]
     * </pre>
     */
    public com.google.longrunning.Operation createConversationModel(
        com.google.cloud.dialogflow.v2.CreateConversationModelRequest request) {
      return io.grpc.stub.ClientCalls.blockingUnaryCall(
          getChannel(), getCreateConversationModelMethod(), getCallOptions(), request);
    }

    /**
     *
     *
     * <pre>
     * Gets conversation model.
     * </pre>
     */
    public com.google.cloud.dialogflow.v2.ConversationModel getConversationModel(
        com.google.cloud.dialogflow.v2.GetConversationModelRequest request) {
      return io.grpc.stub.ClientCalls.blockingUnaryCall(
          getChannel(), getGetConversationModelMethod(), getCallOptions(), request);
    }

    /**
     *
     *
     * <pre>
     * Lists conversation models.
     * </pre>
     */
    public com.google.cloud.dialogflow.v2.ListConversationModelsResponse listConversationModels(
        com.google.cloud.dialogflow.v2.ListConversationModelsRequest request) {
      return io.grpc.stub.ClientCalls.blockingUnaryCall(
          getChannel(), getListConversationModelsMethod(), getCallOptions(), request);
    }

    /**
     *
     *
     * <pre>
     * Deletes a model.
     * This method is a [long-running
     * operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations).
     * The returned `Operation` type has the following method-specific fields:
     * - `metadata`:
     * [DeleteConversationModelOperationMetadata][google.cloud.dialogflow.v2.DeleteConversationModelOperationMetadata]
     * - `response`: An [Empty
     *   message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty)
     * </pre>
     */
    public com.google.longrunning.Operation deleteConversationModel(
        com.google.cloud.dialogflow.v2.DeleteConversationModelRequest request) {
      return io.grpc.stub.ClientCalls.blockingUnaryCall(
          getChannel(), getDeleteConversationModelMethod(), getCallOptions(), request);
    }

    /**
     *
     *
     * <pre>
     * Deploys a model. If a model is already deployed, deploying it
     * has no effect. A model can only serve prediction requests after it gets
     * deployed. For article suggestion, custom model will not be used unless
     * it is deployed.
     * This method is a [long-running
     * operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations).
     * The returned `Operation` type has the following method-specific fields:
     * - `metadata`:
     * [DeployConversationModelOperationMetadata][google.cloud.dialogflow.v2.DeployConversationModelOperationMetadata]
     * - `response`: An [Empty
     *   message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty)
     * </pre>
     */
    public com.google.longrunning.Operation deployConversationModel(
        com.google.cloud.dialogflow.v2.DeployConversationModelRequest request) {
      return io.grpc.stub.ClientCalls.blockingUnaryCall(
          getChannel(), getDeployConversationModelMethod(), getCallOptions(), request);
    }

    /**
     *
     *
     * <pre>
     * Undeploys a model. If the model is not deployed this method has no effect.
     * If the model is currently being used:
     *   - For article suggestion, article suggestion will fallback to the default
     *     model if model is undeployed.
     * This method is a [long-running
     * operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations).
     * The returned `Operation` type has the following method-specific fields:
     * - `metadata`:
     * [UndeployConversationModelOperationMetadata][google.cloud.dialogflow.v2.UndeployConversationModelOperationMetadata]
     * - `response`: An [Empty
     *   message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty)
     * </pre>
     */
    public com.google.longrunning.Operation undeployConversationModel(
        com.google.cloud.dialogflow.v2.UndeployConversationModelRequest request) {
      return io.grpc.stub.ClientCalls.blockingUnaryCall(
          getChannel(), getUndeployConversationModelMethod(), getCallOptions(), request);
    }

    /**
     *
     *
     * <pre>
     * Gets an evaluation of conversation model.
     * </pre>
     */
    public com.google.cloud.dialogflow.v2.ConversationModelEvaluation
        getConversationModelEvaluation(
            com.google.cloud.dialogflow.v2.GetConversationModelEvaluationRequest request) {
      return io.grpc.stub.ClientCalls.blockingUnaryCall(
          getChannel(), getGetConversationModelEvaluationMethod(), getCallOptions(), request);
    }

    /**
     *
     *
     * <pre>
     * Lists evaluations of a conversation model.
     * </pre>
     */
    public com.google.cloud.dialogflow.v2.ListConversationModelEvaluationsResponse
        listConversationModelEvaluations(
            com.google.cloud.dialogflow.v2.ListConversationModelEvaluationsRequest request) {
      return io.grpc.stub.ClientCalls.blockingUnaryCall(
          getChannel(), getListConversationModelEvaluationsMethod(), getCallOptions(), request);
    }

    /**
     *
     *
     * <pre>
     * Creates evaluation of a conversation model.
     * </pre>
     */
    public com.google.longrunning.Operation createConversationModelEvaluation(
        com.google.cloud.dialogflow.v2.CreateConversationModelEvaluationRequest request) {
      return io.grpc.stub.ClientCalls.blockingUnaryCall(
          getChannel(), getCreateConversationModelEvaluationMethod(), getCallOptions(), request);
    }
  }

  /**
   * A stub to allow clients to do ListenableFuture-style rpc calls to service ConversationModels.
   *
   * <pre>
   * Manages a collection of models for human agent assistant.
   * </pre>
   */
  public static final class ConversationModelsFutureStub
      extends io.grpc.stub.AbstractFutureStub<ConversationModelsFutureStub> {
    private ConversationModelsFutureStub(io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
      super(channel, callOptions);
    }

    @java.lang.Override
    protected ConversationModelsFutureStub build(
        io.grpc.Channel channel, io.grpc.CallOptions callOptions) {
      return new ConversationModelsFutureStub(channel, callOptions);
    }

    /**
     *
     *
     * <pre>
     * Creates a model.
     * This method is a [long-running
     * operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations).
     * The returned `Operation` type has the following method-specific fields:
     * - `metadata`:
     * [CreateConversationModelOperationMetadata][google.cloud.dialogflow.v2.CreateConversationModelOperationMetadata]
     * - `response`:
     * [ConversationModel][google.cloud.dialogflow.v2.ConversationModel]
     * </pre>
     */
    public com.google.common.util.concurrent.ListenableFuture<com.google.longrunning.Operation>
        createConversationModel(
            com.google.cloud.dialogflow.v2.CreateConversationModelRequest request) {
      return io.grpc.stub.ClientCalls.futureUnaryCall(
          getChannel().newCall(getCreateConversationModelMethod(), getCallOptions()), request);
    }

    /**
     *
     *
     * <pre>
     * Gets conversation model.
     * </pre>
     */
    public com.google.common.util.concurrent.ListenableFuture<
            com.google.cloud.dialogflow.v2.ConversationModel>
        getConversationModel(com.google.cloud.dialogflow.v2.GetConversationModelRequest request) {
      return io.grpc.stub.ClientCalls.futureUnaryCall(
          getChannel().newCall(getGetConversationModelMethod(), getCallOptions()), request);
    }

    /**
     *
     *
     * <pre>
     * Lists conversation models.
     * </pre>
     */
    public com.google.common.util.concurrent.ListenableFuture<
            com.google.cloud.dialogflow.v2.ListConversationModelsResponse>
        listConversationModels(
            com.google.cloud.dialogflow.v2.ListConversationModelsRequest request) {
      return io.grpc.stub.ClientCalls.futureUnaryCall(
          getChannel().newCall(getListConversationModelsMethod(), getCallOptions()), request);
    }

    /**
     *
     *
     * <pre>
     * Deletes a model.
     * This method is a [long-running
     * operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations).
     * The returned `Operation` type has the following method-specific fields:
     * - `metadata`:
     * [DeleteConversationModelOperationMetadata][google.cloud.dialogflow.v2.DeleteConversationModelOperationMetadata]
     * - `response`: An [Empty
     *   message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty)
     * </pre>
     */
    public com.google.common.util.concurrent.ListenableFuture<com.google.longrunning.Operation>
        deleteConversationModel(
            com.google.cloud.dialogflow.v2.DeleteConversationModelRequest request) {
      return io.grpc.stub.ClientCalls.futureUnaryCall(
          getChannel().newCall(getDeleteConversationModelMethod(), getCallOptions()), request);
    }

    /**
     *
     *
     * <pre>
     * Deploys a model. If a model is already deployed, deploying it
     * has no effect. A model can only serve prediction requests after it gets
     * deployed. For article suggestion, custom model will not be used unless
     * it is deployed.
     * This method is a [long-running
     * operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations).
     * The returned `Operation` type has the following method-specific fields:
     * - `metadata`:
     * [DeployConversationModelOperationMetadata][google.cloud.dialogflow.v2.DeployConversationModelOperationMetadata]
     * - `response`: An [Empty
     *   message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty)
     * </pre>
     */
    public com.google.common.util.concurrent.ListenableFuture<com.google.longrunning.Operation>
        deployConversationModel(
            com.google.cloud.dialogflow.v2.DeployConversationModelRequest request) {
      return io.grpc.stub.ClientCalls.futureUnaryCall(
          getChannel().newCall(getDeployConversationModelMethod(), getCallOptions()), request);
    }

    /**
     *
     *
     * <pre>
     * Undeploys a model. If the model is not deployed this method has no effect.
     * If the model is currently being used:
     *   - For article suggestion, article suggestion will fallback to the default
     *     model if model is undeployed.
     * This method is a [long-running
     * operation](https://cloud.google.com/dialogflow/es/docs/how/long-running-operations).
     * The returned `Operation` type has the following method-specific fields:
     * - `metadata`:
     * [UndeployConversationModelOperationMetadata][google.cloud.dialogflow.v2.UndeployConversationModelOperationMetadata]
     * - `response`: An [Empty
     *   message](https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty)
     * </pre>
     */
    public com.google.common.util.concurrent.ListenableFuture<com.google.longrunning.Operation>
        undeployConversationModel(
            com.google.cloud.dialogflow.v2.UndeployConversationModelRequest request) {
      return io.grpc.stub.ClientCalls.futureUnaryCall(
          getChannel().newCall(getUndeployConversationModelMethod(), getCallOptions()), request);
    }

    /**
     *
     *
     * <pre>
     * Gets an evaluation of conversation model.
     * </pre>
     */
    public com.google.common.util.concurrent.ListenableFuture<
            com.google.cloud.dialogflow.v2.ConversationModelEvaluation>
        getConversationModelEvaluation(
            com.google.cloud.dialogflow.v2.GetConversationModelEvaluationRequest request) {
      return io.grpc.stub.ClientCalls.futureUnaryCall(
          getChannel().newCall(getGetConversationModelEvaluationMethod(), getCallOptions()),
          request);
    }

    /**
     *
     *
     * <pre>
     * Lists evaluations of a conversation model.
     * </pre>
     */
    public com.google.common.util.concurrent.ListenableFuture<
            com.google.cloud.dialogflow.v2.ListConversationModelEvaluationsResponse>
        listConversationModelEvaluations(
            com.google.cloud.dialogflow.v2.ListConversationModelEvaluationsRequest request) {
      return io.grpc.stub.ClientCalls.futureUnaryCall(
          getChannel().newCall(getListConversationModelEvaluationsMethod(), getCallOptions()),
          request);
    }

    /**
     *
     *
     * <pre>
     * Creates evaluation of a conversation model.
     * </pre>
     */
    public com.google.common.util.concurrent.ListenableFuture<com.google.longrunning.Operation>
        createConversationModelEvaluation(
            com.google.cloud.dialogflow.v2.CreateConversationModelEvaluationRequest request) {
      return io.grpc.stub.ClientCalls.futureUnaryCall(
          getChannel().newCall(getCreateConversationModelEvaluationMethod(), getCallOptions()),
          request);
    }
  }

  private static final int METHODID_CREATE_CONVERSATION_MODEL = 0;
  private static final int METHODID_GET_CONVERSATION_MODEL = 1;
  private static final int METHODID_LIST_CONVERSATION_MODELS = 2;
  private static final int METHODID_DELETE_CONVERSATION_MODEL = 3;
  private static final int METHODID_DEPLOY_CONVERSATION_MODEL = 4;
  private static final int METHODID_UNDEPLOY_CONVERSATION_MODEL = 5;
  private static final int METHODID_GET_CONVERSATION_MODEL_EVALUATION = 6;
  private static final int METHODID_LIST_CONVERSATION_MODEL_EVALUATIONS = 7;
  private static final int METHODID_CREATE_CONVERSATION_MODEL_EVALUATION = 8;

  private static final class MethodHandlers<Req, Resp>
      implements io.grpc.stub.ServerCalls.UnaryMethod<Req, Resp>,
          io.grpc.stub.ServerCalls.ServerStreamingMethod<Req, Resp>,
          io.grpc.stub.ServerCalls.ClientStreamingMethod<Req, Resp>,
          io.grpc.stub.ServerCalls.BidiStreamingMethod<Req, Resp> {
    private final AsyncService serviceImpl;
    private final int methodId;

    MethodHandlers(AsyncService serviceImpl, int methodId) {
      this.serviceImpl = serviceImpl;
      this.methodId = methodId;
    }

    @java.lang.Override
    @java.lang.SuppressWarnings("unchecked")
    public void invoke(Req request, io.grpc.stub.StreamObserver<Resp> responseObserver) {
      switch (methodId) {
        case METHODID_CREATE_CONVERSATION_MODEL:
          serviceImpl.createConversationModel(
              (com.google.cloud.dialogflow.v2.CreateConversationModelRequest) request,
              (io.grpc.stub.StreamObserver<com.google.longrunning.Operation>) responseObserver);
          break;
        case METHODID_GET_CONVERSATION_MODEL:
          serviceImpl.getConversationModel(
              (com.google.cloud.dialogflow.v2.GetConversationModelRequest) request,
              (io.grpc.stub.StreamObserver<com.google.cloud.dialogflow.v2.ConversationModel>)
                  responseObserver);
          break;
        case METHODID_LIST_CONVERSATION_MODELS:
          serviceImpl.listConversationModels(
              (com.google.cloud.dialogflow.v2.ListConversationModelsRequest) request,
              (io.grpc.stub.StreamObserver<
                      com.google.cloud.dialogflow.v2.ListConversationModelsResponse>)
                  responseObserver);
          break;
        case METHODID_DELETE_CONVERSATION_MODEL:
          serviceImpl.deleteConversationModel(
              (com.google.cloud.dialogflow.v2.DeleteConversationModelRequest) request,
              (io.grpc.stub.StreamObserver<com.google.longrunning.Operation>) responseObserver);
          break;
        case METHODID_DEPLOY_CONVERSATION_MODEL:
          serviceImpl.deployConversationModel(
              (com.google.cloud.dialogflow.v2.DeployConversationModelRequest) request,
              (io.grpc.stub.StreamObserver<com.google.longrunning.Operation>) responseObserver);
          break;
        case METHODID_UNDEPLOY_CONVERSATION_MODEL:
          serviceImpl.undeployConversationModel(
              (com.google.cloud.dialogflow.v2.UndeployConversationModelRequest) request,
              (io.grpc.stub.StreamObserver<com.google.longrunning.Operation>) responseObserver);
          break;
        case METHODID_GET_CONVERSATION_MODEL_EVALUATION:
          serviceImpl.getConversationModelEvaluation(
              (com.google.cloud.dialogflow.v2.GetConversationModelEvaluationRequest) request,
              (io.grpc.stub.StreamObserver<
                      com.google.cloud.dialogflow.v2.ConversationModelEvaluation>)
                  responseObserver);
          break;
        case METHODID_LIST_CONVERSATION_MODEL_EVALUATIONS:
          serviceImpl.listConversationModelEvaluations(
              (com.google.cloud.dialogflow.v2.ListConversationModelEvaluationsRequest) request,
              (io.grpc.stub.StreamObserver<
                      com.google.cloud.dialogflow.v2.ListConversationModelEvaluationsResponse>)
                  responseObserver);
          break;
        case METHODID_CREATE_CONVERSATION_MODEL_EVALUATION:
          serviceImpl.createConversationModelEvaluation(
              (com.google.cloud.dialogflow.v2.CreateConversationModelEvaluationRequest) request,
              (io.grpc.stub.StreamObserver<com.google.longrunning.Operation>) responseObserver);
          break;
        default:
          throw new AssertionError();
      }
    }

    @java.lang.Override
    @java.lang.SuppressWarnings("unchecked")
    public io.grpc.stub.StreamObserver<Req> invoke(
        io.grpc.stub.StreamObserver<Resp> responseObserver) {
      switch (methodId) {
        default:
          throw new AssertionError();
      }
    }
  }

  public static final io.grpc.ServerServiceDefinition bindService(AsyncService service) {
    return io.grpc.ServerServiceDefinition.builder(getServiceDescriptor())
        .addMethod(
            getCreateConversationModelMethod(),
            io.grpc.stub.ServerCalls.asyncUnaryCall(
                new MethodHandlers<
                    com.google.cloud.dialogflow.v2.CreateConversationModelRequest,
                    com.google.longrunning.Operation>(service, METHODID_CREATE_CONVERSATION_MODEL)))
        .addMethod(
            getGetConversationModelMethod(),
            io.grpc.stub.ServerCalls.asyncUnaryCall(
                new MethodHandlers<
                    com.google.cloud.dialogflow.v2.GetConversationModelRequest,
                    com.google.cloud.dialogflow.v2.ConversationModel>(
                    service, METHODID_GET_CONVERSATION_MODEL)))
        .addMethod(
            getListConversationModelsMethod(),
            io.grpc.stub.ServerCalls.asyncUnaryCall(
                new MethodHandlers<
                    com.google.cloud.dialogflow.v2.ListConversationModelsRequest,
                    com.google.cloud.dialogflow.v2.ListConversationModelsResponse>(
                    service, METHODID_LIST_CONVERSATION_MODELS)))
        .addMethod(
            getDeleteConversationModelMethod(),
            io.grpc.stub.ServerCalls.asyncUnaryCall(
                new MethodHandlers<
                    com.google.cloud.dialogflow.v2.DeleteConversationModelRequest,
                    com.google.longrunning.Operation>(service, METHODID_DELETE_CONVERSATION_MODEL)))
        .addMethod(
            getDeployConversationModelMethod(),
            io.grpc.stub.ServerCalls.asyncUnaryCall(
                new MethodHandlers<
                    com.google.cloud.dialogflow.v2.DeployConversationModelRequest,
                    com.google.longrunning.Operation>(service, METHODID_DEPLOY_CONVERSATION_MODEL)))
        .addMethod(
            getUndeployConversationModelMethod(),
            io.grpc.stub.ServerCalls.asyncUnaryCall(
                new MethodHandlers<
                    com.google.cloud.dialogflow.v2.UndeployConversationModelRequest,
                    com.google.longrunning.Operation>(
                    service, METHODID_UNDEPLOY_CONVERSATION_MODEL)))
        .addMethod(
            getGetConversationModelEvaluationMethod(),
            io.grpc.stub.ServerCalls.asyncUnaryCall(
                new MethodHandlers<
                    com.google.cloud.dialogflow.v2.GetConversationModelEvaluationRequest,
                    com.google.cloud.dialogflow.v2.ConversationModelEvaluation>(
                    service, METHODID_GET_CONVERSATION_MODEL_EVALUATION)))
        .addMethod(
            getListConversationModelEvaluationsMethod(),
            io.grpc.stub.ServerCalls.asyncUnaryCall(
                new MethodHandlers<
                    com.google.cloud.dialogflow.v2.ListConversationModelEvaluationsRequest,
                    com.google.cloud.dialogflow.v2.ListConversationModelEvaluationsResponse>(
                    service, METHODID_LIST_CONVERSATION_MODEL_EVALUATIONS)))
        .addMethod(
            getCreateConversationModelEvaluationMethod(),
            io.grpc.stub.ServerCalls.asyncUnaryCall(
                new MethodHandlers<
                    com.google.cloud.dialogflow.v2.CreateConversationModelEvaluationRequest,
                    com.google.longrunning.Operation>(
                    service, METHODID_CREATE_CONVERSATION_MODEL_EVALUATION)))
        .build();
  }

  private abstract static class ConversationModelsBaseDescriptorSupplier
      implements io.grpc.protobuf.ProtoFileDescriptorSupplier,
          io.grpc.protobuf.ProtoServiceDescriptorSupplier {
    ConversationModelsBaseDescriptorSupplier() {}

    @java.lang.Override
    public com.google.protobuf.Descriptors.FileDescriptor getFileDescriptor() {
      return com.google.cloud.dialogflow.v2.ConversationModelProto.getDescriptor();
    }

    @java.lang.Override
    public com.google.protobuf.Descriptors.ServiceDescriptor getServiceDescriptor() {
      return getFileDescriptor().findServiceByName("ConversationModels");
    }
  }

  private static final class ConversationModelsFileDescriptorSupplier
      extends ConversationModelsBaseDescriptorSupplier {
    ConversationModelsFileDescriptorSupplier() {}
  }

  private static final class ConversationModelsMethodDescriptorSupplier
      extends ConversationModelsBaseDescriptorSupplier
      implements io.grpc.protobuf.ProtoMethodDescriptorSupplier {
    private final String methodName;

    ConversationModelsMethodDescriptorSupplier(String methodName) {
      this.methodName = methodName;
    }

    @java.lang.Override
    public com.google.protobuf.Descriptors.MethodDescriptor getMethodDescriptor() {
      return getServiceDescriptor().findMethodByName(methodName);
    }
  }

  private static volatile io.grpc.ServiceDescriptor serviceDescriptor;

  public static io.grpc.ServiceDescriptor getServiceDescriptor() {
    io.grpc.ServiceDescriptor result = serviceDescriptor;
    if (result == null) {
      synchronized (ConversationModelsGrpc.class) {
        result = serviceDescriptor;
        if (result == null) {
          serviceDescriptor =
              result =
                  io.grpc.ServiceDescriptor.newBuilder(SERVICE_NAME)
                      .setSchemaDescriptor(new ConversationModelsFileDescriptorSupplier())
                      .addMethod(getCreateConversationModelMethod())
                      .addMethod(getGetConversationModelMethod())
                      .addMethod(getListConversationModelsMethod())
                      .addMethod(getDeleteConversationModelMethod())
                      .addMethod(getDeployConversationModelMethod())
                      .addMethod(getUndeployConversationModelMethod())
                      .addMethod(getGetConversationModelEvaluationMethod())
                      .addMethod(getListConversationModelEvaluationsMethod())
                      .addMethod(getCreateConversationModelEvaluationMethod())
                      .build();
        }
      }
    }
    return result;
  }
}
