// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: google/cloud/automl/v1beta1/image.proto

package com.google.cloud.automl.v1beta1;

/**
 *
 *
 * <pre>
 * Model metadata for image classification.
 * </pre>
 *
 * Protobuf type {@code google.cloud.automl.v1beta1.ImageClassificationModelMetadata}
 */
public final class ImageClassificationModelMetadata extends com.google.protobuf.GeneratedMessageV3
    implements
    // @@protoc_insertion_point(message_implements:google.cloud.automl.v1beta1.ImageClassificationModelMetadata)
    ImageClassificationModelMetadataOrBuilder {
  private static final long serialVersionUID = 0L;
  // Use ImageClassificationModelMetadata.newBuilder() to construct.
  private ImageClassificationModelMetadata(
      com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
    super(builder);
  }

  private ImageClassificationModelMetadata() {
    baseModelId_ = "";
    trainBudget_ = 0L;
    trainCost_ = 0L;
    stopReason_ = "";
  }

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              trainCost_ = input.readInt64();
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  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    return com.google.cloud.automl.v1beta1.ImageProto
        .internal_static_google_cloud_automl_v1beta1_ImageClassificationModelMetadata_descriptor;
  }

  @java.lang.Override
  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
      internalGetFieldAccessorTable() {
    return com.google.cloud.automl.v1beta1.ImageProto
        .internal_static_google_cloud_automl_v1beta1_ImageClassificationModelMetadata_fieldAccessorTable
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  public static final int BASE_MODEL_ID_FIELD_NUMBER = 1;
  private volatile java.lang.Object baseModelId_;
  /**
   *
   *
   * <pre>
   * Optional. The ID of the `base` model. If it is specified, the new model
   * will be created based on the `base` model. Otherwise, the new model will be
   * created from scratch. The `base` model is expected to be in the same
   * `project` and `location` as the new model to create.
   * </pre>
   *
   * <code>string base_model_id = 1;</code>
   */
  public java.lang.String getBaseModelId() {
    java.lang.Object ref = baseModelId_;
    if (ref instanceof java.lang.String) {
      return (java.lang.String) ref;
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      com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
      java.lang.String s = bs.toStringUtf8();
      baseModelId_ = s;
      return s;
    }
  }
  /**
   *
   *
   * <pre>
   * Optional. The ID of the `base` model. If it is specified, the new model
   * will be created based on the `base` model. Otherwise, the new model will be
   * created from scratch. The `base` model is expected to be in the same
   * `project` and `location` as the new model to create.
   * </pre>
   *
   * <code>string base_model_id = 1;</code>
   */
  public com.google.protobuf.ByteString getBaseModelIdBytes() {
    java.lang.Object ref = baseModelId_;
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      baseModelId_ = b;
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    }
  }

  public static final int TRAIN_BUDGET_FIELD_NUMBER = 2;
  private long trainBudget_;
  /**
   *
   *
   * <pre>
   * Required. The train budget of creating this model. The actual
   * `train_cost` will be equal or less than this value.
   * </pre>
   *
   * <code>int64 train_budget = 2;</code>
   */
  public long getTrainBudget() {
    return trainBudget_;
  }

  public static final int TRAIN_COST_FIELD_NUMBER = 3;
  private long trainCost_;
  /**
   *
   *
   * <pre>
   * Output only. The actual train cost of creating this model. If this
   * model is created from a `base` model, the train cost used to create the
   * `base` model are not included.
   * </pre>
   *
   * <code>int64 train_cost = 3;</code>
   */
  public long getTrainCost() {
    return trainCost_;
  }

  public static final int STOP_REASON_FIELD_NUMBER = 5;
  private volatile java.lang.Object stopReason_;
  /**
   *
   *
   * <pre>
   * Output only. The reason that this create model operation stopped,
   * e.g. BUDGET_REACHED, CONVERGED.
   * </pre>
   *
   * <code>string stop_reason = 5;</code>
   */
  public java.lang.String getStopReason() {
    java.lang.Object ref = stopReason_;
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      java.lang.String s = bs.toStringUtf8();
      stopReason_ = s;
      return s;
    }
  }
  /**
   *
   *
   * <pre>
   * Output only. The reason that this create model operation stopped,
   * e.g. BUDGET_REACHED, CONVERGED.
   * </pre>
   *
   * <code>string stop_reason = 5;</code>
   */
  public com.google.protobuf.ByteString getStopReasonBytes() {
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    if (trainBudget_ != 0L) {
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    if (trainCost_ != 0L) {
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  @java.lang.Override
  public boolean equals(final java.lang.Object obj) {
    if (obj == this) {
      return true;
    }
    if (!(obj instanceof com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata)) {
      return super.equals(obj);
    }
    com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata other =
        (com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata) obj;

    boolean result = true;
    result = result && getBaseModelId().equals(other.getBaseModelId());
    result = result && (getTrainBudget() == other.getTrainBudget());
    result = result && (getTrainCost() == other.getTrainCost());
    result = result && getStopReason().equals(other.getStopReason());
    result = result && unknownFields.equals(other.unknownFields);
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  @java.lang.Override
  public int hashCode() {
    if (memoizedHashCode != 0) {
      return memoizedHashCode;
    }
    int hash = 41;
    hash = (19 * hash) + getDescriptor().hashCode();
    hash = (37 * hash) + BASE_MODEL_ID_FIELD_NUMBER;
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  public static com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata parseFrom(
      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data);
  }

  public static com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata parseFrom(
      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
      throws com.google.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data, extensionRegistry);
  }

  public static com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata parseFrom(
      com.google.protobuf.ByteString data)
      throws com.google.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data);
  }

  public static com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata parseFrom(
      com.google.protobuf.ByteString data,
      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
      throws com.google.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data, extensionRegistry);
  }

  public static com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata parseFrom(
      byte[] data) throws com.google.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data);
  }

  public static com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata parseFrom(
      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
      throws com.google.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data, extensionRegistry);
  }

  public static com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata parseFrom(
      java.io.InputStream input) throws java.io.IOException {
    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
  }

  public static com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata parseFrom(
      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
      throws java.io.IOException {
    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
        PARSER, input, extensionRegistry);
  }

  public static com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata parseDelimitedFrom(
      java.io.InputStream input) throws java.io.IOException {
    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
  }

  public static com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata parseDelimitedFrom(
      java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
      throws java.io.IOException {
    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
        PARSER, input, extensionRegistry);
  }

  public static com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata parseFrom(
      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
  }

  public static com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata parseFrom(
      com.google.protobuf.CodedInputStream input,
      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
      throws java.io.IOException {
    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
        PARSER, input, extensionRegistry);
  }

  @java.lang.Override
  public Builder newBuilderForType() {
    return newBuilder();
  }

  public static Builder newBuilder() {
    return DEFAULT_INSTANCE.toBuilder();
  }

  public static Builder newBuilder(
      com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata prototype) {
    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
  }

  @java.lang.Override
  public Builder toBuilder() {
    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
  }

  @java.lang.Override
  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
    Builder builder = new Builder(parent);
    return builder;
  }
  /**
   *
   *
   * <pre>
   * Model metadata for image classification.
   * </pre>
   *
   * Protobuf type {@code google.cloud.automl.v1beta1.ImageClassificationModelMetadata}
   */
  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
      implements
      // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.ImageClassificationModelMetadata)
      com.google.cloud.automl.v1beta1.ImageClassificationModelMetadataOrBuilder {
    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      return com.google.cloud.automl.v1beta1.ImageProto
          .internal_static_google_cloud_automl_v1beta1_ImageClassificationModelMetadata_descriptor;
    }

    @java.lang.Override
    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
        internalGetFieldAccessorTable() {
      return com.google.cloud.automl.v1beta1.ImageProto
          .internal_static_google_cloud_automl_v1beta1_ImageClassificationModelMetadata_fieldAccessorTable
          .ensureFieldAccessorsInitialized(
              com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.class,
              com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.Builder.class);
    }

    // Construct using com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.newBuilder()
    private Builder() {
      maybeForceBuilderInitialization();
    }

    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
      super(parent);
      maybeForceBuilderInitialization();
    }

    private void maybeForceBuilderInitialization() {
      if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {}
    }

    @java.lang.Override
    public Builder clear() {
      super.clear();
      baseModelId_ = "";

      trainBudget_ = 0L;

      trainCost_ = 0L;

      stopReason_ = "";

      return this;
    }

    @java.lang.Override
    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
      return com.google.cloud.automl.v1beta1.ImageProto
          .internal_static_google_cloud_automl_v1beta1_ImageClassificationModelMetadata_descriptor;
    }

    @java.lang.Override
    public com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata
        getDefaultInstanceForType() {
      return com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.getDefaultInstance();
    }

    @java.lang.Override
    public com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata build() {
      com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata result = buildPartial();
      if (!result.isInitialized()) {
        throw newUninitializedMessageException(result);
      }
      return result;
    }

    @java.lang.Override
    public com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata buildPartial() {
      com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata result =
          new com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata(this);
      result.baseModelId_ = baseModelId_;
      result.trainBudget_ = trainBudget_;
      result.trainCost_ = trainCost_;
      result.stopReason_ = stopReason_;
      onBuilt();
      return result;
    }

    @java.lang.Override
    public Builder clone() {
      return (Builder) super.clone();
    }

    @java.lang.Override
    public Builder setField(
        com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
      return (Builder) super.setField(field, value);
    }

    @java.lang.Override
    public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
      return (Builder) super.clearField(field);
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    @java.lang.Override
    public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
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    @java.lang.Override
    public Builder setRepeatedField(
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    public Builder addRepeatedField(
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    @java.lang.Override
    public Builder mergeFrom(com.google.protobuf.Message other) {
      if (other instanceof com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata) {
        return mergeFrom((com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata) other);
      } else {
        super.mergeFrom(other);
        return this;
      }
    }

    public Builder mergeFrom(
        com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata other) {
      if (other
          == com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata.getDefaultInstance())
        return this;
      if (!other.getBaseModelId().isEmpty()) {
        baseModelId_ = other.baseModelId_;
        onChanged();
      }
      if (other.getTrainBudget() != 0L) {
        setTrainBudget(other.getTrainBudget());
      }
      if (other.getTrainCost() != 0L) {
        setTrainCost(other.getTrainCost());
      }
      if (!other.getStopReason().isEmpty()) {
        stopReason_ = other.stopReason_;
        onChanged();
      }
      this.mergeUnknownFields(other.unknownFields);
      onChanged();
      return this;
    }

    @java.lang.Override
    public final boolean isInitialized() {
      return true;
    }

    @java.lang.Override
    public Builder mergeFrom(
        com.google.protobuf.CodedInputStream input,
        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
        throws java.io.IOException {
      com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata parsedMessage = null;
      try {
        parsedMessage = PARSER.parsePartialFrom(input, extensionRegistry);
      } catch (com.google.protobuf.InvalidProtocolBufferException e) {
        parsedMessage =
            (com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata)
                e.getUnfinishedMessage();
        throw e.unwrapIOException();
      } finally {
        if (parsedMessage != null) {
          mergeFrom(parsedMessage);
        }
      }
      return this;
    }

    private java.lang.Object baseModelId_ = "";
    /**
     *
     *
     * <pre>
     * Optional. The ID of the `base` model. If it is specified, the new model
     * will be created based on the `base` model. Otherwise, the new model will be
     * created from scratch. The `base` model is expected to be in the same
     * `project` and `location` as the new model to create.
     * </pre>
     *
     * <code>string base_model_id = 1;</code>
     */
    public java.lang.String getBaseModelId() {
      java.lang.Object ref = baseModelId_;
      if (!(ref instanceof java.lang.String)) {
        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
        java.lang.String s = bs.toStringUtf8();
        baseModelId_ = s;
        return s;
      } else {
        return (java.lang.String) ref;
      }
    }
    /**
     *
     *
     * <pre>
     * Optional. The ID of the `base` model. If it is specified, the new model
     * will be created based on the `base` model. Otherwise, the new model will be
     * created from scratch. The `base` model is expected to be in the same
     * `project` and `location` as the new model to create.
     * </pre>
     *
     * <code>string base_model_id = 1;</code>
     */
    public com.google.protobuf.ByteString getBaseModelIdBytes() {
      java.lang.Object ref = baseModelId_;
      if (ref instanceof String) {
        com.google.protobuf.ByteString b =
            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
        baseModelId_ = b;
        return b;
      } else {
        return (com.google.protobuf.ByteString) ref;
      }
    }
    /**
     *
     *
     * <pre>
     * Optional. The ID of the `base` model. If it is specified, the new model
     * will be created based on the `base` model. Otherwise, the new model will be
     * created from scratch. The `base` model is expected to be in the same
     * `project` and `location` as the new model to create.
     * </pre>
     *
     * <code>string base_model_id = 1;</code>
     */
    public Builder setBaseModelId(java.lang.String value) {
      if (value == null) {
        throw new NullPointerException();
      }

      baseModelId_ = value;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Optional. The ID of the `base` model. If it is specified, the new model
     * will be created based on the `base` model. Otherwise, the new model will be
     * created from scratch. The `base` model is expected to be in the same
     * `project` and `location` as the new model to create.
     * </pre>
     *
     * <code>string base_model_id = 1;</code>
     */
    public Builder clearBaseModelId() {

      baseModelId_ = getDefaultInstance().getBaseModelId();
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Optional. The ID of the `base` model. If it is specified, the new model
     * will be created based on the `base` model. Otherwise, the new model will be
     * created from scratch. The `base` model is expected to be in the same
     * `project` and `location` as the new model to create.
     * </pre>
     *
     * <code>string base_model_id = 1;</code>
     */
    public Builder setBaseModelIdBytes(com.google.protobuf.ByteString value) {
      if (value == null) {
        throw new NullPointerException();
      }
      checkByteStringIsUtf8(value);

      baseModelId_ = value;
      onChanged();
      return this;
    }

    private long trainBudget_;
    /**
     *
     *
     * <pre>
     * Required. The train budget of creating this model. The actual
     * `train_cost` will be equal or less than this value.
     * </pre>
     *
     * <code>int64 train_budget = 2;</code>
     */
    public long getTrainBudget() {
      return trainBudget_;
    }
    /**
     *
     *
     * <pre>
     * Required. The train budget of creating this model. The actual
     * `train_cost` will be equal or less than this value.
     * </pre>
     *
     * <code>int64 train_budget = 2;</code>
     */
    public Builder setTrainBudget(long value) {

      trainBudget_ = value;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Required. The train budget of creating this model. The actual
     * `train_cost` will be equal or less than this value.
     * </pre>
     *
     * <code>int64 train_budget = 2;</code>
     */
    public Builder clearTrainBudget() {

      trainBudget_ = 0L;
      onChanged();
      return this;
    }

    private long trainCost_;
    /**
     *
     *
     * <pre>
     * Output only. The actual train cost of creating this model. If this
     * model is created from a `base` model, the train cost used to create the
     * `base` model are not included.
     * </pre>
     *
     * <code>int64 train_cost = 3;</code>
     */
    public long getTrainCost() {
      return trainCost_;
    }
    /**
     *
     *
     * <pre>
     * Output only. The actual train cost of creating this model. If this
     * model is created from a `base` model, the train cost used to create the
     * `base` model are not included.
     * </pre>
     *
     * <code>int64 train_cost = 3;</code>
     */
    public Builder setTrainCost(long value) {

      trainCost_ = value;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Output only. The actual train cost of creating this model. If this
     * model is created from a `base` model, the train cost used to create the
     * `base` model are not included.
     * </pre>
     *
     * <code>int64 train_cost = 3;</code>
     */
    public Builder clearTrainCost() {

      trainCost_ = 0L;
      onChanged();
      return this;
    }

    private java.lang.Object stopReason_ = "";
    /**
     *
     *
     * <pre>
     * Output only. The reason that this create model operation stopped,
     * e.g. BUDGET_REACHED, CONVERGED.
     * </pre>
     *
     * <code>string stop_reason = 5;</code>
     */
    public java.lang.String getStopReason() {
      java.lang.Object ref = stopReason_;
      if (!(ref instanceof java.lang.String)) {
        com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
        java.lang.String s = bs.toStringUtf8();
        stopReason_ = s;
        return s;
      } else {
        return (java.lang.String) ref;
      }
    }
    /**
     *
     *
     * <pre>
     * Output only. The reason that this create model operation stopped,
     * e.g. BUDGET_REACHED, CONVERGED.
     * </pre>
     *
     * <code>string stop_reason = 5;</code>
     */
    public com.google.protobuf.ByteString getStopReasonBytes() {
      java.lang.Object ref = stopReason_;
      if (ref instanceof String) {
        com.google.protobuf.ByteString b =
            com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
        stopReason_ = b;
        return b;
      } else {
        return (com.google.protobuf.ByteString) ref;
      }
    }
    /**
     *
     *
     * <pre>
     * Output only. The reason that this create model operation stopped,
     * e.g. BUDGET_REACHED, CONVERGED.
     * </pre>
     *
     * <code>string stop_reason = 5;</code>
     */
    public Builder setStopReason(java.lang.String value) {
      if (value == null) {
        throw new NullPointerException();
      }

      stopReason_ = value;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Output only. The reason that this create model operation stopped,
     * e.g. BUDGET_REACHED, CONVERGED.
     * </pre>
     *
     * <code>string stop_reason = 5;</code>
     */
    public Builder clearStopReason() {

      stopReason_ = getDefaultInstance().getStopReason();
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Output only. The reason that this create model operation stopped,
     * e.g. BUDGET_REACHED, CONVERGED.
     * </pre>
     *
     * <code>string stop_reason = 5;</code>
     */
    public Builder setStopReasonBytes(com.google.protobuf.ByteString value) {
      if (value == null) {
        throw new NullPointerException();
      }
      checkByteStringIsUtf8(value);

      stopReason_ = value;
      onChanged();
      return this;
    }

    @java.lang.Override
    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
      return super.setUnknownFieldsProto3(unknownFields);
    }

    @java.lang.Override
    public final Builder mergeUnknownFields(
        final com.google.protobuf.UnknownFieldSet unknownFields) {
      return super.mergeUnknownFields(unknownFields);
    }

    // @@protoc_insertion_point(builder_scope:google.cloud.automl.v1beta1.ImageClassificationModelMetadata)
  }

  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.ImageClassificationModelMetadata)
  private static final com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata
      DEFAULT_INSTANCE;

  static {
    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata();
  }

  public static com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata
      getDefaultInstance() {
    return DEFAULT_INSTANCE;
  }

  private static final com.google.protobuf.Parser<ImageClassificationModelMetadata> PARSER =
      new com.google.protobuf.AbstractParser<ImageClassificationModelMetadata>() {
        @java.lang.Override
        public ImageClassificationModelMetadata parsePartialFrom(
            com.google.protobuf.CodedInputStream input,
            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
            throws com.google.protobuf.InvalidProtocolBufferException {
          return new ImageClassificationModelMetadata(input, extensionRegistry);
        }
      };

  public static com.google.protobuf.Parser<ImageClassificationModelMetadata> parser() {
    return PARSER;
  }

  @java.lang.Override
  public com.google.protobuf.Parser<ImageClassificationModelMetadata> getParserForType() {
    return PARSER;
  }

  @java.lang.Override
  public com.google.cloud.automl.v1beta1.ImageClassificationModelMetadata
      getDefaultInstanceForType() {
    return DEFAULT_INSTANCE;
  }
}
