/*
 * 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.
 */
// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: google/analytics/data/v1alpha/data.proto

package com.google.analytics.data.v1alpha;

/**
 *
 *
 * <pre>
 * If funnel report results are
 * [sampled](https://support.google.com/analytics/answer/2637192), this
 * metadata describes what percentage of events were used in this funnel
 * report for a date range. Sampling is the practice of analyzing a subset of
 * all data in order to uncover the meaningful information in the larger data
 * set.
 * </pre>
 *
 * Protobuf type {@code google.analytics.data.v1alpha.SamplingMetadata}
 */
public final class SamplingMetadata extends com.google.protobuf.GeneratedMessageV3
    implements
    // @@protoc_insertion_point(message_implements:google.analytics.data.v1alpha.SamplingMetadata)
    SamplingMetadataOrBuilder {
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  private SamplingMetadata(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
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        .internal_static_google_analytics_data_v1alpha_SamplingMetadata_descriptor;
  }

  @java.lang.Override
  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
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        .internal_static_google_analytics_data_v1alpha_SamplingMetadata_fieldAccessorTable
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  public static final int SAMPLES_READ_COUNT_FIELD_NUMBER = 1;
  private long samplesReadCount_;
  /**
   *
   *
   * <pre>
   * The total number of events read in this sampled report for a date range.
   * This is the size of the subset this property's data that was analyzed in
   * this funnel report.
   * </pre>
   *
   * <code>int64 samples_read_count = 1;</code>
   *
   * @return The samplesReadCount.
   */
  @java.lang.Override
  public long getSamplesReadCount() {
    return samplesReadCount_;
  }

  public static final int SAMPLING_SPACE_SIZE_FIELD_NUMBER = 2;
  private long samplingSpaceSize_;
  /**
   *
   *
   * <pre>
   * The total number of events present in this property's data that could
   * have been analyzed in this funnel report for a date range. Sampling
   * uncovers the meaningful information about the larger data set, and this
   * is the size of the larger data set.
   * To calculate the percentage of available data that was used in this
   * funnel report, compute `samplesReadCount/samplingSpaceSize`.
   * </pre>
   *
   * <code>int64 sampling_space_size = 2;</code>
   *
   * @return The samplingSpaceSize.
   */
  @java.lang.Override
  public long getSamplingSpaceSize() {
    return samplingSpaceSize_;
  }

  private byte memoizedIsInitialized = -1;

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    memoizedIsInitialized = 1;
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    if (samplingSpaceSize_ != 0L) {
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    }
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  @java.lang.Override
  public boolean equals(final java.lang.Object obj) {
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    if (getSamplesReadCount() != other.getSamplesReadCount()) return false;
    if (getSamplingSpaceSize() != other.getSamplingSpaceSize()) return false;
    if (!unknownFields.equals(other.unknownFields)) return false;
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  @java.lang.Override
  public int hashCode() {
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    hash = (37 * hash) + SAMPLES_READ_COUNT_FIELD_NUMBER;
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    hash = (53 * hash) + com.google.protobuf.Internal.hashLong(getSamplingSpaceSize());
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  }

  public static com.google.analytics.data.v1alpha.SamplingMetadata parseFrom(
      java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data);
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  public static com.google.analytics.data.v1alpha.SamplingMetadata parseFrom(
      java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
      throws com.google.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data, extensionRegistry);
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  public static com.google.analytics.data.v1alpha.SamplingMetadata parseFrom(
      com.google.protobuf.ByteString data)
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    return PARSER.parseFrom(data);
  }

  public static com.google.analytics.data.v1alpha.SamplingMetadata parseFrom(
      com.google.protobuf.ByteString data,
      com.google.protobuf.ExtensionRegistryLite extensionRegistry)
      throws com.google.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data, extensionRegistry);
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  public static com.google.analytics.data.v1alpha.SamplingMetadata parseFrom(byte[] data)
      throws com.google.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data);
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  public static com.google.analytics.data.v1alpha.SamplingMetadata parseFrom(
      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
      throws com.google.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data, extensionRegistry);
  }

  public static com.google.analytics.data.v1alpha.SamplingMetadata parseFrom(
      java.io.InputStream input) throws java.io.IOException {
    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
  }

  public static com.google.analytics.data.v1alpha.SamplingMetadata parseFrom(
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      throws java.io.IOException {
    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
        PARSER, input, extensionRegistry);
  }

  public static com.google.analytics.data.v1alpha.SamplingMetadata parseDelimitedFrom(
      java.io.InputStream input) throws java.io.IOException {
    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
  }

  public static com.google.analytics.data.v1alpha.SamplingMetadata parseDelimitedFrom(
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      throws java.io.IOException {
    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
        PARSER, input, extensionRegistry);
  }

  public static com.google.analytics.data.v1alpha.SamplingMetadata parseFrom(
      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
  }

  public static com.google.analytics.data.v1alpha.SamplingMetadata 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.analytics.data.v1alpha.SamplingMetadata 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>
   * If funnel report results are
   * [sampled](https://support.google.com/analytics/answer/2637192), this
   * metadata describes what percentage of events were used in this funnel
   * report for a date range. Sampling is the practice of analyzing a subset of
   * all data in order to uncover the meaningful information in the larger data
   * set.
   * </pre>
   *
   * Protobuf type {@code google.analytics.data.v1alpha.SamplingMetadata}
   */
  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
      implements
      // @@protoc_insertion_point(builder_implements:google.analytics.data.v1alpha.SamplingMetadata)
      com.google.analytics.data.v1alpha.SamplingMetadataOrBuilder {
    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      return com.google.analytics.data.v1alpha.ReportingApiProto
          .internal_static_google_analytics_data_v1alpha_SamplingMetadata_descriptor;
    }

    @java.lang.Override
    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
        internalGetFieldAccessorTable() {
      return com.google.analytics.data.v1alpha.ReportingApiProto
          .internal_static_google_analytics_data_v1alpha_SamplingMetadata_fieldAccessorTable
          .ensureFieldAccessorsInitialized(
              com.google.analytics.data.v1alpha.SamplingMetadata.class,
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    }

    // Construct using com.google.analytics.data.v1alpha.SamplingMetadata.newBuilder()
    private Builder() {
      maybeForceBuilderInitialization();
    }

    private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
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      maybeForceBuilderInitialization();
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    @java.lang.Override
    public Builder clear() {
      super.clear();
      samplesReadCount_ = 0L;

      samplingSpaceSize_ = 0L;

      return this;
    }

    @java.lang.Override
    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
      return com.google.analytics.data.v1alpha.ReportingApiProto
          .internal_static_google_analytics_data_v1alpha_SamplingMetadata_descriptor;
    }

    @java.lang.Override
    public com.google.analytics.data.v1alpha.SamplingMetadata getDefaultInstanceForType() {
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    }

    @java.lang.Override
    public com.google.analytics.data.v1alpha.SamplingMetadata build() {
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      if (!result.isInitialized()) {
        throw newUninitializedMessageException(result);
      }
      return result;
    }

    @java.lang.Override
    public com.google.analytics.data.v1alpha.SamplingMetadata buildPartial() {
      com.google.analytics.data.v1alpha.SamplingMetadata result =
          new com.google.analytics.data.v1alpha.SamplingMetadata(this);
      result.samplesReadCount_ = samplesReadCount_;
      result.samplingSpaceSize_ = samplingSpaceSize_;
      onBuilt();
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    }

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    public Builder mergeFrom(com.google.analytics.data.v1alpha.SamplingMetadata other) {
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      } finally {
        if (parsedMessage != null) {
          mergeFrom(parsedMessage);
        }
      }
      return this;
    }

    private long samplesReadCount_;
    /**
     *
     *
     * <pre>
     * The total number of events read in this sampled report for a date range.
     * This is the size of the subset this property's data that was analyzed in
     * this funnel report.
     * </pre>
     *
     * <code>int64 samples_read_count = 1;</code>
     *
     * @return The samplesReadCount.
     */
    @java.lang.Override
    public long getSamplesReadCount() {
      return samplesReadCount_;
    }
    /**
     *
     *
     * <pre>
     * The total number of events read in this sampled report for a date range.
     * This is the size of the subset this property's data that was analyzed in
     * this funnel report.
     * </pre>
     *
     * <code>int64 samples_read_count = 1;</code>
     *
     * @param value The samplesReadCount to set.
     * @return This builder for chaining.
     */
    public Builder setSamplesReadCount(long value) {

      samplesReadCount_ = value;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * The total number of events read in this sampled report for a date range.
     * This is the size of the subset this property's data that was analyzed in
     * this funnel report.
     * </pre>
     *
     * <code>int64 samples_read_count = 1;</code>
     *
     * @return This builder for chaining.
     */
    public Builder clearSamplesReadCount() {

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

    private long samplingSpaceSize_;
    /**
     *
     *
     * <pre>
     * The total number of events present in this property's data that could
     * have been analyzed in this funnel report for a date range. Sampling
     * uncovers the meaningful information about the larger data set, and this
     * is the size of the larger data set.
     * To calculate the percentage of available data that was used in this
     * funnel report, compute `samplesReadCount/samplingSpaceSize`.
     * </pre>
     *
     * <code>int64 sampling_space_size = 2;</code>
     *
     * @return The samplingSpaceSize.
     */
    @java.lang.Override
    public long getSamplingSpaceSize() {
      return samplingSpaceSize_;
    }
    /**
     *
     *
     * <pre>
     * The total number of events present in this property's data that could
     * have been analyzed in this funnel report for a date range. Sampling
     * uncovers the meaningful information about the larger data set, and this
     * is the size of the larger data set.
     * To calculate the percentage of available data that was used in this
     * funnel report, compute `samplesReadCount/samplingSpaceSize`.
     * </pre>
     *
     * <code>int64 sampling_space_size = 2;</code>
     *
     * @param value The samplingSpaceSize to set.
     * @return This builder for chaining.
     */
    public Builder setSamplingSpaceSize(long value) {

      samplingSpaceSize_ = value;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * The total number of events present in this property's data that could
     * have been analyzed in this funnel report for a date range. Sampling
     * uncovers the meaningful information about the larger data set, and this
     * is the size of the larger data set.
     * To calculate the percentage of available data that was used in this
     * funnel report, compute `samplesReadCount/samplingSpaceSize`.
     * </pre>
     *
     * <code>int64 sampling_space_size = 2;</code>
     *
     * @return This builder for chaining.
     */
    public Builder clearSamplingSpaceSize() {

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

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

    @java.lang.Override
    public final Builder mergeUnknownFields(
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    }

    // @@protoc_insertion_point(builder_scope:google.analytics.data.v1alpha.SamplingMetadata)
  }

  // @@protoc_insertion_point(class_scope:google.analytics.data.v1alpha.SamplingMetadata)
  private static final com.google.analytics.data.v1alpha.SamplingMetadata DEFAULT_INSTANCE;

  static {
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  }

  public static com.google.analytics.data.v1alpha.SamplingMetadata getDefaultInstance() {
    return DEFAULT_INSTANCE;
  }

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        public SamplingMetadata parsePartialFrom(
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          return new SamplingMetadata(input, extensionRegistry);
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  public static com.google.protobuf.Parser<SamplingMetadata> parser() {
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  }

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  public com.google.protobuf.Parser<SamplingMetadata> getParserForType() {
    return PARSER;
  }

  @java.lang.Override
  public com.google.analytics.data.v1alpha.SamplingMetadata getDefaultInstanceForType() {
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  }
}
