/*
 * Copyright 2023 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.
 */
// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: google/cloud/automl/v1beta1/data_stats.proto

package com.google.cloud.automl.v1beta1;

/**
 *
 *
 * <pre>
 * The data statistics of a series of FLOAT64 values.
 * </pre>
 *
 * Protobuf type {@code google.cloud.automl.v1beta1.Float64Stats}
 */
public final class Float64Stats extends com.google.protobuf.GeneratedMessageV3
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    Float64StatsOrBuilder {
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  // Use Float64Stats.newBuilder() to construct.
  private Float64Stats(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
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    /**
     *
     *
     * <pre>
     * The minimum value of the bucket, inclusive.
     * </pre>
     *
     * <code>double min = 1;</code>
     *
     * @return The min.
     */
    double getMin();

    /**
     *
     *
     * <pre>
     * The maximum value of the bucket, exclusive unless max = `"Infinity"`, in
     * which case it's inclusive.
     * </pre>
     *
     * <code>double max = 2;</code>
     *
     * @return The max.
     */
    double getMax();

    /**
     *
     *
     * <pre>
     * The number of data values that are in the bucket, i.e. are between
     * min and max values.
     * </pre>
     *
     * <code>int64 count = 3;</code>
     *
     * @return The count.
     */
    long getCount();
  }
  /**
   *
   *
   * <pre>
   * A bucket of a histogram.
   * </pre>
   *
   * Protobuf type {@code google.cloud.automl.v1beta1.Float64Stats.HistogramBucket}
   */
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      HistogramBucketOrBuilder {
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    // Use HistogramBucket.newBuilder() to construct.
    private HistogramBucket(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
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    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
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     *
     *
     * <pre>
     * The minimum value of the bucket, inclusive.
     * </pre>
     *
     * <code>double min = 1;</code>
     *
     * @return The min.
     */
    @java.lang.Override
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    /**
     *
     *
     * <pre>
     * The maximum value of the bucket, exclusive unless max = `"Infinity"`, in
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     * </pre>
     *
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     *
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     */
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     *
     *
     * <pre>
     * The number of data values that are in the bucket, i.e. are between
     * min and max values.
     * </pre>
     *
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     *
     * @return The count.
     */
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    public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom(
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    public static com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket parseFrom(
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        com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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    public Builder newBuilderForType() {
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    public static Builder newBuilder() {
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    public static Builder newBuilder(
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    @java.lang.Override
    protected Builder newBuilderForType(
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    /**
     *
     *
     * <pre>
     * A bucket of a histogram.
     * </pre>
     *
     * Protobuf type {@code google.cloud.automl.v1beta1.Float64Stats.HistogramBucket}
     */
    public static final class Builder
        extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
        implements
        // @@protoc_insertion_point(builder_implements:google.cloud.automl.v1beta1.Float64Stats.HistogramBucket)
        com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder {
      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
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      @java.lang.Override
      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
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       * <pre>
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              throw new com.google.protobuf.InvalidProtocolBufferException(e)
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        };

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

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

    @java.lang.Override
    public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket
        getDefaultInstanceForType() {
      return DEFAULT_INSTANCE;
    }
  }

  public static final int MEAN_FIELD_NUMBER = 1;
  private double mean_ = 0D;
  /**
   *
   *
   * <pre>
   * The mean of the series.
   * </pre>
   *
   * <code>double mean = 1;</code>
   *
   * @return The mean.
   */
  @java.lang.Override
  public double getMean() {
    return mean_;
  }

  public static final int STANDARD_DEVIATION_FIELD_NUMBER = 2;
  private double standardDeviation_ = 0D;
  /**
   *
   *
   * <pre>
   * The standard deviation of the series.
   * </pre>
   *
   * <code>double standard_deviation = 2;</code>
   *
   * @return The standardDeviation.
   */
  @java.lang.Override
  public double getStandardDeviation() {
    return standardDeviation_;
  }

  public static final int QUANTILES_FIELD_NUMBER = 3;

  @SuppressWarnings("serial")
  private com.google.protobuf.Internal.DoubleList quantiles_;
  /**
   *
   *
   * <pre>
   * Ordered from 0 to k k-quantile values of the data series of n values.
   * The value at index i is, approximately, the i*n/k-th smallest value in the
   * series; for i = 0 and i = k these are, respectively, the min and max
   * values.
   * </pre>
   *
   * <code>repeated double quantiles = 3;</code>
   *
   * @return A list containing the quantiles.
   */
  @java.lang.Override
  public java.util.List<java.lang.Double> getQuantilesList() {
    return quantiles_;
  }
  /**
   *
   *
   * <pre>
   * Ordered from 0 to k k-quantile values of the data series of n values.
   * The value at index i is, approximately, the i*n/k-th smallest value in the
   * series; for i = 0 and i = k these are, respectively, the min and max
   * values.
   * </pre>
   *
   * <code>repeated double quantiles = 3;</code>
   *
   * @return The count of quantiles.
   */
  public int getQuantilesCount() {
    return quantiles_.size();
  }
  /**
   *
   *
   * <pre>
   * Ordered from 0 to k k-quantile values of the data series of n values.
   * The value at index i is, approximately, the i*n/k-th smallest value in the
   * series; for i = 0 and i = k these are, respectively, the min and max
   * values.
   * </pre>
   *
   * <code>repeated double quantiles = 3;</code>
   *
   * @param index The index of the element to return.
   * @return The quantiles at the given index.
   */
  public double getQuantiles(int index) {
    return quantiles_.getDouble(index);
  }

  private int quantilesMemoizedSerializedSize = -1;

  public static final int HISTOGRAM_BUCKETS_FIELD_NUMBER = 4;

  @SuppressWarnings("serial")
  private java.util.List<com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket>
      histogramBuckets_;
  /**
   *
   *
   * <pre>
   * Histogram buckets of the data series. Sorted by the min value of the
   * bucket, ascendingly, and the number of the buckets is dynamically
   * generated. The buckets are non-overlapping and completely cover whole
   * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
   * the last one being `"Infinity"`.
   * </pre>
   *
   * <code>repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
   * </code>
   */
  @java.lang.Override
  public java.util.List<com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket>
      getHistogramBucketsList() {
    return histogramBuckets_;
  }
  /**
   *
   *
   * <pre>
   * Histogram buckets of the data series. Sorted by the min value of the
   * bucket, ascendingly, and the number of the buckets is dynamically
   * generated. The buckets are non-overlapping and completely cover whole
   * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
   * the last one being `"Infinity"`.
   * </pre>
   *
   * <code>repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
   * </code>
   */
  @java.lang.Override
  public java.util.List<
          ? extends com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder>
      getHistogramBucketsOrBuilderList() {
    return histogramBuckets_;
  }
  /**
   *
   *
   * <pre>
   * Histogram buckets of the data series. Sorted by the min value of the
   * bucket, ascendingly, and the number of the buckets is dynamically
   * generated. The buckets are non-overlapping and completely cover whole
   * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
   * the last one being `"Infinity"`.
   * </pre>
   *
   * <code>repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
   * </code>
   */
  @java.lang.Override
  public int getHistogramBucketsCount() {
    return histogramBuckets_.size();
  }
  /**
   *
   *
   * <pre>
   * Histogram buckets of the data series. Sorted by the min value of the
   * bucket, ascendingly, and the number of the buckets is dynamically
   * generated. The buckets are non-overlapping and completely cover whole
   * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
   * the last one being `"Infinity"`.
   * </pre>
   *
   * <code>repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
   * </code>
   */
  @java.lang.Override
  public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket getHistogramBuckets(
      int index) {
    return histogramBuckets_.get(index);
  }
  /**
   *
   *
   * <pre>
   * Histogram buckets of the data series. Sorted by the min value of the
   * bucket, ascendingly, and the number of the buckets is dynamically
   * generated. The buckets are non-overlapping and completely cover whole
   * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
   * the last one being `"Infinity"`.
   * </pre>
   *
   * <code>repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
   * </code>
   */
  @java.lang.Override
  public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder
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  public final boolean isInitialized() {
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    return size;
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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.Float64Stats)) {
      return super.equals(obj);
    }
    com.google.cloud.automl.v1beta1.Float64Stats other =
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    if (java.lang.Double.doubleToLongBits(getMean())
        != java.lang.Double.doubleToLongBits(other.getMean())) return false;
    if (java.lang.Double.doubleToLongBits(getStandardDeviation())
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    if (!getQuantilesList().equals(other.getQuantilesList())) return false;
    if (!getHistogramBucketsList().equals(other.getHistogramBucketsList())) return false;
    if (!getUnknownFields().equals(other.getUnknownFields())) return false;
    return true;
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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) + MEAN_FIELD_NUMBER;
    hash =
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    hash = (37 * hash) + STANDARD_DEVIATION_FIELD_NUMBER;
    hash =
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      hash = (53 * hash) + getQuantilesList().hashCode();
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    if (getHistogramBucketsCount() > 0) {
      hash = (37 * hash) + HISTOGRAM_BUCKETS_FIELD_NUMBER;
      hash = (53 * hash) + getHistogramBucketsList().hashCode();
    }
    hash = (29 * hash) + getUnknownFields().hashCode();
    memoizedHashCode = hash;
    return hash;
  }

  public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(java.nio.ByteBuffer data)
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    return PARSER.parseFrom(data);
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  public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(
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      throws com.google.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data, extensionRegistry);
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  public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(
      com.google.protobuf.ByteString data)
      throws com.google.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data);
  }

  public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(
      com.google.protobuf.ByteString data,
      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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    return PARSER.parseFrom(data, extensionRegistry);
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  public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(byte[] data)
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    return PARSER.parseFrom(data);
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  public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(
      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
      throws com.google.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data, extensionRegistry);
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  public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(java.io.InputStream input)
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    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
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  public static com.google.cloud.automl.v1beta1.Float64Stats parseFrom(
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  public static com.google.cloud.automl.v1beta1.Float64Stats 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.Float64Stats prototype) {
    return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
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    return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
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  @java.lang.Override
  protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
    Builder builder = new Builder(parent);
    return builder;
  }
  /**
   *
   *
   * <pre>
   * The data statistics of a series of FLOAT64 values.
   * </pre>
   *
   * Protobuf type {@code google.cloud.automl.v1beta1.Float64Stats}
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    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
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    public Builder clear() {
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      bitField0_ = 0;
      mean_ = 0D;
      standardDeviation_ = 0D;
      quantiles_ = emptyDoubleList();
      if (histogramBucketsBuilder_ == null) {
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      bitField0_ = (bitField0_ & ~0x00000008);
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    @java.lang.Override
    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
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    @java.lang.Override
    public com.google.cloud.automl.v1beta1.Float64Stats getDefaultInstanceForType() {
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    @java.lang.Override
    public com.google.cloud.automl.v1beta1.Float64Stats build() {
      com.google.cloud.automl.v1beta1.Float64Stats result = buildPartial();
      if (!result.isInitialized()) {
        throw newUninitializedMessageException(result);
      }
      return result;
    }

    @java.lang.Override
    public com.google.cloud.automl.v1beta1.Float64Stats buildPartial() {
      com.google.cloud.automl.v1beta1.Float64Stats result =
          new com.google.cloud.automl.v1beta1.Float64Stats(this);
      buildPartialRepeatedFields(result);
      if (bitField0_ != 0) {
        buildPartial0(result);
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      onBuilt();
      return result;
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    private void buildPartialRepeatedFields(com.google.cloud.automl.v1beta1.Float64Stats result) {
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        result.histogramBuckets_ = histogramBucketsBuilder_.build();
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    }

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      if (((from_bitField0_ & 0x00000002) != 0)) {
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    public Builder clone() {
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    @java.lang.Override
    public Builder setField(
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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.Float64Stats) {
        return mergeFrom((com.google.cloud.automl.v1beta1.Float64Stats) other);
      } else {
        super.mergeFrom(other);
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    public Builder mergeFrom(com.google.cloud.automl.v1beta1.Float64Stats other) {
      if (other == com.google.cloud.automl.v1beta1.Float64Stats.getDefaultInstance()) return this;
      if (other.getMean() != 0D) {
        setMean(other.getMean());
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      if (other.getStandardDeviation() != 0D) {
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            histogramBucketsBuilder_ =
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      onChanged();
      return this;
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    public Builder mergeFrom(
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            case 17:
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                break;
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            case 25:
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            default:
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    private double mean_;
    /**
     *
     *
     * <pre>
     * The mean of the series.
     * </pre>
     *
     * <code>double mean = 1;</code>
     *
     * @return The mean.
     */
    @java.lang.Override
    public double getMean() {
      return mean_;
    }
    /**
     *
     *
     * <pre>
     * The mean of the series.
     * </pre>
     *
     * <code>double mean = 1;</code>
     *
     * @param value The mean to set.
     * @return This builder for chaining.
     */
    public Builder setMean(double value) {

      mean_ = value;
      bitField0_ |= 0x00000001;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * The mean of the series.
     * </pre>
     *
     * <code>double mean = 1;</code>
     *
     * @return This builder for chaining.
     */
    public Builder clearMean() {
      bitField0_ = (bitField0_ & ~0x00000001);
      mean_ = 0D;
      onChanged();
      return this;
    }

    private double standardDeviation_;
    /**
     *
     *
     * <pre>
     * The standard deviation of the series.
     * </pre>
     *
     * <code>double standard_deviation = 2;</code>
     *
     * @return The standardDeviation.
     */
    @java.lang.Override
    public double getStandardDeviation() {
      return standardDeviation_;
    }
    /**
     *
     *
     * <pre>
     * The standard deviation of the series.
     * </pre>
     *
     * <code>double standard_deviation = 2;</code>
     *
     * @param value The standardDeviation to set.
     * @return This builder for chaining.
     */
    public Builder setStandardDeviation(double value) {

      standardDeviation_ = value;
      bitField0_ |= 0x00000002;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * The standard deviation of the series.
     * </pre>
     *
     * <code>double standard_deviation = 2;</code>
     *
     * @return This builder for chaining.
     */
    public Builder clearStandardDeviation() {
      bitField0_ = (bitField0_ & ~0x00000002);
      standardDeviation_ = 0D;
      onChanged();
      return this;
    }

    private com.google.protobuf.Internal.DoubleList quantiles_ = emptyDoubleList();

    private void ensureQuantilesIsMutable() {
      if (!((bitField0_ & 0x00000004) != 0)) {
        quantiles_ = mutableCopy(quantiles_);
        bitField0_ |= 0x00000004;
      }
    }
    /**
     *
     *
     * <pre>
     * Ordered from 0 to k k-quantile values of the data series of n values.
     * The value at index i is, approximately, the i*n/k-th smallest value in the
     * series; for i = 0 and i = k these are, respectively, the min and max
     * values.
     * </pre>
     *
     * <code>repeated double quantiles = 3;</code>
     *
     * @return A list containing the quantiles.
     */
    public java.util.List<java.lang.Double> getQuantilesList() {
      return ((bitField0_ & 0x00000004) != 0)
          ? java.util.Collections.unmodifiableList(quantiles_)
          : quantiles_;
    }
    /**
     *
     *
     * <pre>
     * Ordered from 0 to k k-quantile values of the data series of n values.
     * The value at index i is, approximately, the i*n/k-th smallest value in the
     * series; for i = 0 and i = k these are, respectively, the min and max
     * values.
     * </pre>
     *
     * <code>repeated double quantiles = 3;</code>
     *
     * @return The count of quantiles.
     */
    public int getQuantilesCount() {
      return quantiles_.size();
    }
    /**
     *
     *
     * <pre>
     * Ordered from 0 to k k-quantile values of the data series of n values.
     * The value at index i is, approximately, the i*n/k-th smallest value in the
     * series; for i = 0 and i = k these are, respectively, the min and max
     * values.
     * </pre>
     *
     * <code>repeated double quantiles = 3;</code>
     *
     * @param index The index of the element to return.
     * @return The quantiles at the given index.
     */
    public double getQuantiles(int index) {
      return quantiles_.getDouble(index);
    }
    /**
     *
     *
     * <pre>
     * Ordered from 0 to k k-quantile values of the data series of n values.
     * The value at index i is, approximately, the i*n/k-th smallest value in the
     * series; for i = 0 and i = k these are, respectively, the min and max
     * values.
     * </pre>
     *
     * <code>repeated double quantiles = 3;</code>
     *
     * @param index The index to set the value at.
     * @param value The quantiles to set.
     * @return This builder for chaining.
     */
    public Builder setQuantiles(int index, double value) {

      ensureQuantilesIsMutable();
      quantiles_.setDouble(index, value);
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Ordered from 0 to k k-quantile values of the data series of n values.
     * The value at index i is, approximately, the i*n/k-th smallest value in the
     * series; for i = 0 and i = k these are, respectively, the min and max
     * values.
     * </pre>
     *
     * <code>repeated double quantiles = 3;</code>
     *
     * @param value The quantiles to add.
     * @return This builder for chaining.
     */
    public Builder addQuantiles(double value) {

      ensureQuantilesIsMutable();
      quantiles_.addDouble(value);
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Ordered from 0 to k k-quantile values of the data series of n values.
     * The value at index i is, approximately, the i*n/k-th smallest value in the
     * series; for i = 0 and i = k these are, respectively, the min and max
     * values.
     * </pre>
     *
     * <code>repeated double quantiles = 3;</code>
     *
     * @param values The quantiles to add.
     * @return This builder for chaining.
     */
    public Builder addAllQuantiles(java.lang.Iterable<? extends java.lang.Double> values) {
      ensureQuantilesIsMutable();
      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, quantiles_);
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Ordered from 0 to k k-quantile values of the data series of n values.
     * The value at index i is, approximately, the i*n/k-th smallest value in the
     * series; for i = 0 and i = k these are, respectively, the min and max
     * values.
     * </pre>
     *
     * <code>repeated double quantiles = 3;</code>
     *
     * @return This builder for chaining.
     */
    public Builder clearQuantiles() {
      quantiles_ = emptyDoubleList();
      bitField0_ = (bitField0_ & ~0x00000004);
      onChanged();
      return this;
    }

    private java.util.List<com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket>
        histogramBuckets_ = java.util.Collections.emptyList();

    private void ensureHistogramBucketsIsMutable() {
      if (!((bitField0_ & 0x00000008) != 0)) {
        histogramBuckets_ =
            new java.util.ArrayList<com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket>(
                histogramBuckets_);
        bitField0_ |= 0x00000008;
      }
    }

    private com.google.protobuf.RepeatedFieldBuilderV3<
            com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket,
            com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder,
            com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder>
        histogramBucketsBuilder_;

    /**
     *
     *
     * <pre>
     * Histogram buckets of the data series. Sorted by the min value of the
     * bucket, ascendingly, and the number of the buckets is dynamically
     * generated. The buckets are non-overlapping and completely cover whole
     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
     * the last one being `"Infinity"`.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
     * </code>
     */
    public java.util.List<com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket>
        getHistogramBucketsList() {
      if (histogramBucketsBuilder_ == null) {
        return java.util.Collections.unmodifiableList(histogramBuckets_);
      } else {
        return histogramBucketsBuilder_.getMessageList();
      }
    }
    /**
     *
     *
     * <pre>
     * Histogram buckets of the data series. Sorted by the min value of the
     * bucket, ascendingly, and the number of the buckets is dynamically
     * generated. The buckets are non-overlapping and completely cover whole
     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
     * the last one being `"Infinity"`.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
     * </code>
     */
    public int getHistogramBucketsCount() {
      if (histogramBucketsBuilder_ == null) {
        return histogramBuckets_.size();
      } else {
        return histogramBucketsBuilder_.getCount();
      }
    }
    /**
     *
     *
     * <pre>
     * Histogram buckets of the data series. Sorted by the min value of the
     * bucket, ascendingly, and the number of the buckets is dynamically
     * generated. The buckets are non-overlapping and completely cover whole
     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
     * the last one being `"Infinity"`.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
     * </code>
     */
    public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket getHistogramBuckets(
        int index) {
      if (histogramBucketsBuilder_ == null) {
        return histogramBuckets_.get(index);
      } else {
        return histogramBucketsBuilder_.getMessage(index);
      }
    }
    /**
     *
     *
     * <pre>
     * Histogram buckets of the data series. Sorted by the min value of the
     * bucket, ascendingly, and the number of the buckets is dynamically
     * generated. The buckets are non-overlapping and completely cover whole
     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
     * the last one being `"Infinity"`.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
     * </code>
     */
    public Builder setHistogramBuckets(
        int index, com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket value) {
      if (histogramBucketsBuilder_ == null) {
        if (value == null) {
          throw new NullPointerException();
        }
        ensureHistogramBucketsIsMutable();
        histogramBuckets_.set(index, value);
        onChanged();
      } else {
        histogramBucketsBuilder_.setMessage(index, value);
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Histogram buckets of the data series. Sorted by the min value of the
     * bucket, ascendingly, and the number of the buckets is dynamically
     * generated. The buckets are non-overlapping and completely cover whole
     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
     * the last one being `"Infinity"`.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
     * </code>
     */
    public Builder setHistogramBuckets(
        int index,
        com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder builderForValue) {
      if (histogramBucketsBuilder_ == null) {
        ensureHistogramBucketsIsMutable();
        histogramBuckets_.set(index, builderForValue.build());
        onChanged();
      } else {
        histogramBucketsBuilder_.setMessage(index, builderForValue.build());
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Histogram buckets of the data series. Sorted by the min value of the
     * bucket, ascendingly, and the number of the buckets is dynamically
     * generated. The buckets are non-overlapping and completely cover whole
     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
     * the last one being `"Infinity"`.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
     * </code>
     */
    public Builder addHistogramBuckets(
        com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket value) {
      if (histogramBucketsBuilder_ == null) {
        if (value == null) {
          throw new NullPointerException();
        }
        ensureHistogramBucketsIsMutable();
        histogramBuckets_.add(value);
        onChanged();
      } else {
        histogramBucketsBuilder_.addMessage(value);
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Histogram buckets of the data series. Sorted by the min value of the
     * bucket, ascendingly, and the number of the buckets is dynamically
     * generated. The buckets are non-overlapping and completely cover whole
     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
     * the last one being `"Infinity"`.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
     * </code>
     */
    public Builder addHistogramBuckets(
        int index, com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket value) {
      if (histogramBucketsBuilder_ == null) {
        if (value == null) {
          throw new NullPointerException();
        }
        ensureHistogramBucketsIsMutable();
        histogramBuckets_.add(index, value);
        onChanged();
      } else {
        histogramBucketsBuilder_.addMessage(index, value);
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Histogram buckets of the data series. Sorted by the min value of the
     * bucket, ascendingly, and the number of the buckets is dynamically
     * generated. The buckets are non-overlapping and completely cover whole
     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
     * the last one being `"Infinity"`.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
     * </code>
     */
    public Builder addHistogramBuckets(
        com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder builderForValue) {
      if (histogramBucketsBuilder_ == null) {
        ensureHistogramBucketsIsMutable();
        histogramBuckets_.add(builderForValue.build());
        onChanged();
      } else {
        histogramBucketsBuilder_.addMessage(builderForValue.build());
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Histogram buckets of the data series. Sorted by the min value of the
     * bucket, ascendingly, and the number of the buckets is dynamically
     * generated. The buckets are non-overlapping and completely cover whole
     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
     * the last one being `"Infinity"`.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
     * </code>
     */
    public Builder addHistogramBuckets(
        int index,
        com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder builderForValue) {
      if (histogramBucketsBuilder_ == null) {
        ensureHistogramBucketsIsMutable();
        histogramBuckets_.add(index, builderForValue.build());
        onChanged();
      } else {
        histogramBucketsBuilder_.addMessage(index, builderForValue.build());
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Histogram buckets of the data series. Sorted by the min value of the
     * bucket, ascendingly, and the number of the buckets is dynamically
     * generated. The buckets are non-overlapping and completely cover whole
     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
     * the last one being `"Infinity"`.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
     * </code>
     */
    public Builder addAllHistogramBuckets(
        java.lang.Iterable<? extends com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket>
            values) {
      if (histogramBucketsBuilder_ == null) {
        ensureHistogramBucketsIsMutable();
        com.google.protobuf.AbstractMessageLite.Builder.addAll(values, histogramBuckets_);
        onChanged();
      } else {
        histogramBucketsBuilder_.addAllMessages(values);
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Histogram buckets of the data series. Sorted by the min value of the
     * bucket, ascendingly, and the number of the buckets is dynamically
     * generated. The buckets are non-overlapping and completely cover whole
     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
     * the last one being `"Infinity"`.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
     * </code>
     */
    public Builder clearHistogramBuckets() {
      if (histogramBucketsBuilder_ == null) {
        histogramBuckets_ = java.util.Collections.emptyList();
        bitField0_ = (bitField0_ & ~0x00000008);
        onChanged();
      } else {
        histogramBucketsBuilder_.clear();
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Histogram buckets of the data series. Sorted by the min value of the
     * bucket, ascendingly, and the number of the buckets is dynamically
     * generated. The buckets are non-overlapping and completely cover whole
     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
     * the last one being `"Infinity"`.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
     * </code>
     */
    public Builder removeHistogramBuckets(int index) {
      if (histogramBucketsBuilder_ == null) {
        ensureHistogramBucketsIsMutable();
        histogramBuckets_.remove(index);
        onChanged();
      } else {
        histogramBucketsBuilder_.remove(index);
      }
      return this;
    }
    /**
     *
     *
     * <pre>
     * Histogram buckets of the data series. Sorted by the min value of the
     * bucket, ascendingly, and the number of the buckets is dynamically
     * generated. The buckets are non-overlapping and completely cover whole
     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
     * the last one being `"Infinity"`.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
     * </code>
     */
    public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder
        getHistogramBucketsBuilder(int index) {
      return getHistogramBucketsFieldBuilder().getBuilder(index);
    }
    /**
     *
     *
     * <pre>
     * Histogram buckets of the data series. Sorted by the min value of the
     * bucket, ascendingly, and the number of the buckets is dynamically
     * generated. The buckets are non-overlapping and completely cover whole
     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
     * the last one being `"Infinity"`.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
     * </code>
     */
    public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder
        getHistogramBucketsOrBuilder(int index) {
      if (histogramBucketsBuilder_ == null) {
        return histogramBuckets_.get(index);
      } else {
        return histogramBucketsBuilder_.getMessageOrBuilder(index);
      }
    }
    /**
     *
     *
     * <pre>
     * Histogram buckets of the data series. Sorted by the min value of the
     * bucket, ascendingly, and the number of the buckets is dynamically
     * generated. The buckets are non-overlapping and completely cover whole
     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
     * the last one being `"Infinity"`.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
     * </code>
     */
    public java.util.List<
            ? extends com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder>
        getHistogramBucketsOrBuilderList() {
      if (histogramBucketsBuilder_ != null) {
        return histogramBucketsBuilder_.getMessageOrBuilderList();
      } else {
        return java.util.Collections.unmodifiableList(histogramBuckets_);
      }
    }
    /**
     *
     *
     * <pre>
     * Histogram buckets of the data series. Sorted by the min value of the
     * bucket, ascendingly, and the number of the buckets is dynamically
     * generated. The buckets are non-overlapping and completely cover whole
     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
     * the last one being `"Infinity"`.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
     * </code>
     */
    public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder
        addHistogramBucketsBuilder() {
      return getHistogramBucketsFieldBuilder()
          .addBuilder(
              com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.getDefaultInstance());
    }
    /**
     *
     *
     * <pre>
     * Histogram buckets of the data series. Sorted by the min value of the
     * bucket, ascendingly, and the number of the buckets is dynamically
     * generated. The buckets are non-overlapping and completely cover whole
     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
     * the last one being `"Infinity"`.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
     * </code>
     */
    public com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder
        addHistogramBucketsBuilder(int index) {
      return getHistogramBucketsFieldBuilder()
          .addBuilder(
              index,
              com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.getDefaultInstance());
    }
    /**
     *
     *
     * <pre>
     * Histogram buckets of the data series. Sorted by the min value of the
     * bucket, ascendingly, and the number of the buckets is dynamically
     * generated. The buckets are non-overlapping and completely cover whole
     * FLOAT64 range with min of first bucket being `"-Infinity"`, and max of
     * the last one being `"Infinity"`.
     * </pre>
     *
     * <code>
     * repeated .google.cloud.automl.v1beta1.Float64Stats.HistogramBucket histogram_buckets = 4;
     * </code>
     */
    public java.util.List<com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder>
        getHistogramBucketsBuilderList() {
      return getHistogramBucketsFieldBuilder().getBuilderList();
    }

    private com.google.protobuf.RepeatedFieldBuilderV3<
            com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket,
            com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder,
            com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder>
        getHistogramBucketsFieldBuilder() {
      if (histogramBucketsBuilder_ == null) {
        histogramBucketsBuilder_ =
            new com.google.protobuf.RepeatedFieldBuilderV3<
                com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket,
                com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucket.Builder,
                com.google.cloud.automl.v1beta1.Float64Stats.HistogramBucketOrBuilder>(
                histogramBuckets_,
                ((bitField0_ & 0x00000008) != 0),
                getParentForChildren(),
                isClean());
        histogramBuckets_ = null;
      }
      return histogramBucketsBuilder_;
    }

    @java.lang.Override
    public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
      return super.setUnknownFields(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.Float64Stats)
  }

  // @@protoc_insertion_point(class_scope:google.cloud.automl.v1beta1.Float64Stats)
  private static final com.google.cloud.automl.v1beta1.Float64Stats DEFAULT_INSTANCE;

  static {
    DEFAULT_INSTANCE = new com.google.cloud.automl.v1beta1.Float64Stats();
  }

  public static com.google.cloud.automl.v1beta1.Float64Stats getDefaultInstance() {
    return DEFAULT_INSTANCE;
  }

  private static final com.google.protobuf.Parser<Float64Stats> PARSER =
      new com.google.protobuf.AbstractParser<Float64Stats>() {
        @java.lang.Override
        public Float64Stats parsePartialFrom(
            com.google.protobuf.CodedInputStream input,
            com.google.protobuf.ExtensionRegistryLite extensionRegistry)
            throws com.google.protobuf.InvalidProtocolBufferException {
          Builder builder = newBuilder();
          try {
            builder.mergeFrom(input, extensionRegistry);
          } catch (com.google.protobuf.InvalidProtocolBufferException e) {
            throw e.setUnfinishedMessage(builder.buildPartial());
          } catch (com.google.protobuf.UninitializedMessageException e) {
            throw e.asInvalidProtocolBufferException().setUnfinishedMessage(builder.buildPartial());
          } catch (java.io.IOException e) {
            throw new com.google.protobuf.InvalidProtocolBufferException(e)
                .setUnfinishedMessage(builder.buildPartial());
          }
          return builder.buildPartial();
        }
      };

  public static com.google.protobuf.Parser<Float64Stats> parser() {
    return PARSER;
  }

  @java.lang.Override
  public com.google.protobuf.Parser<Float64Stats> getParserForType() {
    return PARSER;
  }

  @java.lang.Override
  public com.google.cloud.automl.v1beta1.Float64Stats getDefaultInstanceForType() {
    return DEFAULT_INSTANCE;
  }
}
