android-16.0.0_r2/s

/*
 * 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/cloud/speech/v1/cloud_speech.proto

package com.google.cloud.speech.v1;

/**
 *
 *
 * <pre>
 * Provides "hints" to the speech recognizer to favor specific words and phrases
 * in the results.
 * </pre>
 *
 * Protobuf type {@code google.cloud.speech.v1.SpeechContext}
 */
public final class SpeechContext extends com.google.protobuf.GeneratedMessageV3
    implements
    // @@protoc_insertion_point(message_implements:google.cloud.speech.v1.SpeechContext)
    SpeechContextOrBuilder {
  private static final long serialVersionUID = 0L;
  // Use SpeechContext.newBuilder() to construct.
  private SpeechContext(com.google.protobuf.GeneratedMessageV3.Builder<?> builder) {
    super(builder);
  }

  private SpeechContext() {
    phrases_ = com.google.protobuf.LazyStringArrayList.EMPTY;
  }

  @java.lang.Override
  @SuppressWarnings({"unused"})
  protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
    return new SpeechContext();
  }

  @java.lang.Override
  public final com.google.protobuf.UnknownFieldSet getUnknownFields() {
    return this.unknownFields;
  }

  public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
    return com.google.cloud.speech.v1.SpeechProto
        .internal_static_google_cloud_speech_v1_SpeechContext_descriptor;
  }

  @java.lang.Override
  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
      internalGetFieldAccessorTable() {
    return com.google.cloud.speech.v1.SpeechProto
        .internal_static_google_cloud_speech_v1_SpeechContext_fieldAccessorTable
        .ensureFieldAccessorsInitialized(
            com.google.cloud.speech.v1.SpeechContext.class,
            com.google.cloud.speech.v1.SpeechContext.Builder.class);
  }

  public static final int PHRASES_FIELD_NUMBER = 1;

  @SuppressWarnings("serial")
  private com.google.protobuf.LazyStringList phrases_;
  /**
   *
   *
   * <pre>
   * A list of strings containing words and phrases "hints" so that
   * the speech recognition is more likely to recognize them. This can be used
   * to improve the accuracy for specific words and phrases, for example, if
   * specific commands are typically spoken by the user. This can also be used
   * to add additional words to the vocabulary of the recognizer. See
   * [usage limits](https://cloud.google.com/speech-to-text/quotas#content).
   * List items can also be set to classes for groups of words that represent
   * common concepts that occur in natural language. For example, rather than
   * providing phrase hints for every month of the year, using the $MONTH class
   * improves the likelihood of correctly transcribing audio that includes
   * months.
   * </pre>
   *
   * <code>repeated string phrases = 1;</code>
   *
   * @return A list containing the phrases.
   */
  public com.google.protobuf.ProtocolStringList getPhrasesList() {
    return phrases_;
  }
  /**
   *
   *
   * <pre>
   * A list of strings containing words and phrases "hints" so that
   * the speech recognition is more likely to recognize them. This can be used
   * to improve the accuracy for specific words and phrases, for example, if
   * specific commands are typically spoken by the user. This can also be used
   * to add additional words to the vocabulary of the recognizer. See
   * [usage limits](https://cloud.google.com/speech-to-text/quotas#content).
   * List items can also be set to classes for groups of words that represent
   * common concepts that occur in natural language. For example, rather than
   * providing phrase hints for every month of the year, using the $MONTH class
   * improves the likelihood of correctly transcribing audio that includes
   * months.
   * </pre>
   *
   * <code>repeated string phrases = 1;</code>
   *
   * @return The count of phrases.
   */
  public int getPhrasesCount() {
    return phrases_.size();
  }
  /**
   *
   *
   * <pre>
   * A list of strings containing words and phrases "hints" so that
   * the speech recognition is more likely to recognize them. This can be used
   * to improve the accuracy for specific words and phrases, for example, if
   * specific commands are typically spoken by the user. This can also be used
   * to add additional words to the vocabulary of the recognizer. See
   * [usage limits](https://cloud.google.com/speech-to-text/quotas#content).
   * List items can also be set to classes for groups of words that represent
   * common concepts that occur in natural language. For example, rather than
   * providing phrase hints for every month of the year, using the $MONTH class
   * improves the likelihood of correctly transcribing audio that includes
   * months.
   * </pre>
   *
   * <code>repeated string phrases = 1;</code>
   *
   * @param index The index of the element to return.
   * @return The phrases at the given index.
   */
  public java.lang.String getPhrases(int index) {
    return phrases_.get(index);
  }
  /**
   *
   *
   * <pre>
   * A list of strings containing words and phrases "hints" so that
   * the speech recognition is more likely to recognize them. This can be used
   * to improve the accuracy for specific words and phrases, for example, if
   * specific commands are typically spoken by the user. This can also be used
   * to add additional words to the vocabulary of the recognizer. See
   * [usage limits](https://cloud.google.com/speech-to-text/quotas#content).
   * List items can also be set to classes for groups of words that represent
   * common concepts that occur in natural language. For example, rather than
   * providing phrase hints for every month of the year, using the $MONTH class
   * improves the likelihood of correctly transcribing audio that includes
   * months.
   * </pre>
   *
   * <code>repeated string phrases = 1;</code>
   *
   * @param index The index of the value to return.
   * @return The bytes of the phrases at the given index.
   */
  public com.google.protobuf.ByteString getPhrasesBytes(int index) {
    return phrases_.getByteString(index);
  }

  public static final int BOOST_FIELD_NUMBER = 4;
  private float boost_ = 0F;
  /**
   *
   *
   * <pre>
   * Hint Boost. Positive value will increase the probability that a specific
   * phrase will be recognized over other similar sounding phrases. The higher
   * the boost, the higher the chance of false positive recognition as well.
   * Negative boost values would correspond to anti-biasing. Anti-biasing is not
   * enabled, so negative boost will simply be ignored. Though `boost` can
   * accept a wide range of positive values, most use cases are best served with
   * values between 0 and 20. We recommend using a binary search approach to
   * finding the optimal value for your use case.
   * </pre>
   *
   * <code>float boost = 4;</code>
   *
   * @return The boost.
   */
  @java.lang.Override
  public float getBoost() {
    return boost_;
  }

  private byte memoizedIsInitialized = -1;

  @java.lang.Override
  public final boolean isInitialized() {
    byte isInitialized = memoizedIsInitialized;
    if (isInitialized == 1) return true;
    if (isInitialized == 0) return false;

    memoizedIsInitialized = 1;
    return true;
  }

  @java.lang.Override
  public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
    for (int i = 0; i < phrases_.size(); i++) {
      com.google.protobuf.GeneratedMessageV3.writeString(output, 1, phrases_.getRaw(i));
    }
    if (java.lang.Float.floatToRawIntBits(boost_) != 0) {
      output.writeFloat(4, boost_);
    }
    getUnknownFields().writeTo(output);
  }

  @java.lang.Override
  public int getSerializedSize() {
    int size = memoizedSize;
    if (size != -1) return size;

    size = 0;
    {
      int dataSize = 0;
      for (int i = 0; i < phrases_.size(); i++) {
        dataSize += computeStringSizeNoTag(phrases_.getRaw(i));
      }
      size += dataSize;
      size += 1 * getPhrasesList().size();
    }
    if (java.lang.Float.floatToRawIntBits(boost_) != 0) {
      size += com.google.protobuf.CodedOutputStream.computeFloatSize(4, boost_);
    }
    size += getUnknownFields().getSerializedSize();
    memoizedSize = size;
    return size;
  }

  @java.lang.Override
  public boolean equals(final java.lang.Object obj) {
    if (obj == this) {
      return true;
    }
    if (!(obj instanceof com.google.cloud.speech.v1.SpeechContext)) {
      return super.equals(obj);
    }
    com.google.cloud.speech.v1.SpeechContext other = (com.google.cloud.speech.v1.SpeechContext) obj;

    if (!getPhrasesList().equals(other.getPhrasesList())) return false;
    if (java.lang.Float.floatToIntBits(getBoost())
        != java.lang.Float.floatToIntBits(other.getBoost())) return false;
    if (!getUnknownFields().equals(other.getUnknownFields())) return false;
    return true;
  }

  @java.lang.Override
  public int hashCode() {
    if (memoizedHashCode != 0) {
      return memoizedHashCode;
    }
    int hash = 41;
    hash = (19 * hash) + getDescriptor().hashCode();
    if (getPhrasesCount() > 0) {
      hash = (37 * hash) + PHRASES_FIELD_NUMBER;
      hash = (53 * hash) + getPhrasesList().hashCode();
    }
    hash = (37 * hash) + BOOST_FIELD_NUMBER;
    hash = (53 * hash) + java.lang.Float.floatToIntBits(getBoost());
    hash = (29 * hash) + getUnknownFields().hashCode();
    memoizedHashCode = hash;
    return hash;
  }

  public static com.google.cloud.speech.v1.SpeechContext parseFrom(java.nio.ByteBuffer data)
      throws com.google.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data);
  }

  public static com.google.cloud.speech.v1.SpeechContext 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.speech.v1.SpeechContext parseFrom(
      com.google.protobuf.ByteString data)
      throws com.google.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data);
  }

  public static com.google.cloud.speech.v1.SpeechContext 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.speech.v1.SpeechContext parseFrom(byte[] data)
      throws com.google.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data);
  }

  public static com.google.cloud.speech.v1.SpeechContext parseFrom(
      byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
      throws com.google.protobuf.InvalidProtocolBufferException {
    return PARSER.parseFrom(data, extensionRegistry);
  }

  public static com.google.cloud.speech.v1.SpeechContext parseFrom(java.io.InputStream input)
      throws java.io.IOException {
    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
  }

  public static com.google.cloud.speech.v1.SpeechContext 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.speech.v1.SpeechContext parseDelimitedFrom(
      java.io.InputStream input) throws java.io.IOException {
    return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
  }

  public static com.google.cloud.speech.v1.SpeechContext 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.speech.v1.SpeechContext parseFrom(
      com.google.protobuf.CodedInputStream input) throws java.io.IOException {
    return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
  }

  public static com.google.cloud.speech.v1.SpeechContext 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.speech.v1.SpeechContext 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>
   * Provides "hints" to the speech recognizer to favor specific words and phrases
   * in the results.
   * </pre>
   *
   * Protobuf type {@code google.cloud.speech.v1.SpeechContext}
   */
  public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Builder>
      implements
      // @@protoc_insertion_point(builder_implements:google.cloud.speech.v1.SpeechContext)
      com.google.cloud.speech.v1.SpeechContextOrBuilder {
    public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
      return com.google.cloud.speech.v1.SpeechProto
          .internal_static_google_cloud_speech_v1_SpeechContext_descriptor;
    }

    @java.lang.Override
    protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
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      return com.google.cloud.speech.v1.SpeechProto
          .internal_static_google_cloud_speech_v1_SpeechContext_fieldAccessorTable
          .ensureFieldAccessorsInitialized(
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              com.google.cloud.speech.v1.SpeechContext.Builder.class);
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    // Construct using com.google.cloud.speech.v1.SpeechContext.newBuilder()
    private Builder() {}

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

    @java.lang.Override
    public Builder clear() {
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      bitField0_ = 0;
      phrases_ = com.google.protobuf.LazyStringArrayList.EMPTY;
      bitField0_ = (bitField0_ & ~0x00000001);
      boost_ = 0F;
      return this;
    }

    @java.lang.Override
    public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
      return com.google.cloud.speech.v1.SpeechProto
          .internal_static_google_cloud_speech_v1_SpeechContext_descriptor;
    }

    @java.lang.Override
    public com.google.cloud.speech.v1.SpeechContext getDefaultInstanceForType() {
      return com.google.cloud.speech.v1.SpeechContext.getDefaultInstance();
    }

    @java.lang.Override
    public com.google.cloud.speech.v1.SpeechContext build() {
      com.google.cloud.speech.v1.SpeechContext result = buildPartial();
      if (!result.isInitialized()) {
        throw newUninitializedMessageException(result);
      }
      return result;
    }

    @java.lang.Override
    public com.google.cloud.speech.v1.SpeechContext buildPartial() {
      com.google.cloud.speech.v1.SpeechContext result =
          new com.google.cloud.speech.v1.SpeechContext(this);
      buildPartialRepeatedFields(result);
      if (bitField0_ != 0) {
        buildPartial0(result);
      }
      onBuilt();
      return result;
    }

    private void buildPartialRepeatedFields(com.google.cloud.speech.v1.SpeechContext result) {
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        phrases_ = phrases_.getUnmodifiableView();
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    public Builder mergeFrom(com.google.protobuf.Message other) {
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        return this;
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    public Builder mergeFrom(com.google.cloud.speech.v1.SpeechContext other) {
      if (other == com.google.cloud.speech.v1.SpeechContext.getDefaultInstance()) return this;
      if (!other.phrases_.isEmpty()) {
        if (phrases_.isEmpty()) {
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          bitField0_ = (bitField0_ & ~0x00000001);
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        onChanged();
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      this.mergeUnknownFields(other.getUnknownFields());
      onChanged();
      return this;
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    public final boolean isInitialized() {
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    @java.lang.Override
    public Builder mergeFrom(
        com.google.protobuf.CodedInputStream input,
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    /**
     *
     *
     * <pre>
     * A list of strings containing words and phrases "hints" so that
     * the speech recognition is more likely to recognize them. This can be used
     * to improve the accuracy for specific words and phrases, for example, if
     * specific commands are typically spoken by the user. This can also be used
     * to add additional words to the vocabulary of the recognizer. See
     * [usage limits](https://cloud.google.com/speech-to-text/quotas#content).
     * List items can also be set to classes for groups of words that represent
     * common concepts that occur in natural language. For example, rather than
     * providing phrase hints for every month of the year, using the $MONTH class
     * improves the likelihood of correctly transcribing audio that includes
     * months.
     * </pre>
     *
     * <code>repeated string phrases = 1;</code>
     *
     * @return A list containing the phrases.
     */
    public com.google.protobuf.ProtocolStringList getPhrasesList() {
      return phrases_.getUnmodifiableView();
    }
    /**
     *
     *
     * <pre>
     * A list of strings containing words and phrases "hints" so that
     * the speech recognition is more likely to recognize them. This can be used
     * to improve the accuracy for specific words and phrases, for example, if
     * specific commands are typically spoken by the user. This can also be used
     * to add additional words to the vocabulary of the recognizer. See
     * [usage limits](https://cloud.google.com/speech-to-text/quotas#content).
     * List items can also be set to classes for groups of words that represent
     * common concepts that occur in natural language. For example, rather than
     * providing phrase hints for every month of the year, using the $MONTH class
     * improves the likelihood of correctly transcribing audio that includes
     * months.
     * </pre>
     *
     * <code>repeated string phrases = 1;</code>
     *
     * @return The count of phrases.
     */
    public int getPhrasesCount() {
      return phrases_.size();
    }
    /**
     *
     *
     * <pre>
     * A list of strings containing words and phrases "hints" so that
     * the speech recognition is more likely to recognize them. This can be used
     * to improve the accuracy for specific words and phrases, for example, if
     * specific commands are typically spoken by the user. This can also be used
     * to add additional words to the vocabulary of the recognizer. See
     * [usage limits](https://cloud.google.com/speech-to-text/quotas#content).
     * List items can also be set to classes for groups of words that represent
     * common concepts that occur in natural language. For example, rather than
     * providing phrase hints for every month of the year, using the $MONTH class
     * improves the likelihood of correctly transcribing audio that includes
     * months.
     * </pre>
     *
     * <code>repeated string phrases = 1;</code>
     *
     * @param index The index of the element to return.
     * @return The phrases at the given index.
     */
    public java.lang.String getPhrases(int index) {
      return phrases_.get(index);
    }
    /**
     *
     *
     * <pre>
     * A list of strings containing words and phrases "hints" so that
     * the speech recognition is more likely to recognize them. This can be used
     * to improve the accuracy for specific words and phrases, for example, if
     * specific commands are typically spoken by the user. This can also be used
     * to add additional words to the vocabulary of the recognizer. See
     * [usage limits](https://cloud.google.com/speech-to-text/quotas#content).
     * List items can also be set to classes for groups of words that represent
     * common concepts that occur in natural language. For example, rather than
     * providing phrase hints for every month of the year, using the $MONTH class
     * improves the likelihood of correctly transcribing audio that includes
     * months.
     * </pre>
     *
     * <code>repeated string phrases = 1;</code>
     *
     * @param index The index of the value to return.
     * @return The bytes of the phrases at the given index.
     */
    public com.google.protobuf.ByteString getPhrasesBytes(int index) {
      return phrases_.getByteString(index);
    }
    /**
     *
     *
     * <pre>
     * A list of strings containing words and phrases "hints" so that
     * the speech recognition is more likely to recognize them. This can be used
     * to improve the accuracy for specific words and phrases, for example, if
     * specific commands are typically spoken by the user. This can also be used
     * to add additional words to the vocabulary of the recognizer. See
     * [usage limits](https://cloud.google.com/speech-to-text/quotas#content).
     * List items can also be set to classes for groups of words that represent
     * common concepts that occur in natural language. For example, rather than
     * providing phrase hints for every month of the year, using the $MONTH class
     * improves the likelihood of correctly transcribing audio that includes
     * months.
     * </pre>
     *
     * <code>repeated string phrases = 1;</code>
     *
     * @param index The index to set the value at.
     * @param value The phrases to set.
     * @return This builder for chaining.
     */
    public Builder setPhrases(int index, java.lang.String value) {
      if (value == null) {
        throw new NullPointerException();
      }
      ensurePhrasesIsMutable();
      phrases_.set(index, value);
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * A list of strings containing words and phrases "hints" so that
     * the speech recognition is more likely to recognize them. This can be used
     * to improve the accuracy for specific words and phrases, for example, if
     * specific commands are typically spoken by the user. This can also be used
     * to add additional words to the vocabulary of the recognizer. See
     * [usage limits](https://cloud.google.com/speech-to-text/quotas#content).
     * List items can also be set to classes for groups of words that represent
     * common concepts that occur in natural language. For example, rather than
     * providing phrase hints for every month of the year, using the $MONTH class
     * improves the likelihood of correctly transcribing audio that includes
     * months.
     * </pre>
     *
     * <code>repeated string phrases = 1;</code>
     *
     * @param value The phrases to add.
     * @return This builder for chaining.
     */
    public Builder addPhrases(java.lang.String value) {
      if (value == null) {
        throw new NullPointerException();
      }
      ensurePhrasesIsMutable();
      phrases_.add(value);
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * A list of strings containing words and phrases "hints" so that
     * the speech recognition is more likely to recognize them. This can be used
     * to improve the accuracy for specific words and phrases, for example, if
     * specific commands are typically spoken by the user. This can also be used
     * to add additional words to the vocabulary of the recognizer. See
     * [usage limits](https://cloud.google.com/speech-to-text/quotas#content).
     * List items can also be set to classes for groups of words that represent
     * common concepts that occur in natural language. For example, rather than
     * providing phrase hints for every month of the year, using the $MONTH class
     * improves the likelihood of correctly transcribing audio that includes
     * months.
     * </pre>
     *
     * <code>repeated string phrases = 1;</code>
     *
     * @param values The phrases to add.
     * @return This builder for chaining.
     */
    public Builder addAllPhrases(java.lang.Iterable<java.lang.String> values) {
      ensurePhrasesIsMutable();
      com.google.protobuf.AbstractMessageLite.Builder.addAll(values, phrases_);
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * A list of strings containing words and phrases "hints" so that
     * the speech recognition is more likely to recognize them. This can be used
     * to improve the accuracy for specific words and phrases, for example, if
     * specific commands are typically spoken by the user. This can also be used
     * to add additional words to the vocabulary of the recognizer. See
     * [usage limits](https://cloud.google.com/speech-to-text/quotas#content).
     * List items can also be set to classes for groups of words that represent
     * common concepts that occur in natural language. For example, rather than
     * providing phrase hints for every month of the year, using the $MONTH class
     * improves the likelihood of correctly transcribing audio that includes
     * months.
     * </pre>
     *
     * <code>repeated string phrases = 1;</code>
     *
     * @return This builder for chaining.
     */
    public Builder clearPhrases() {
      phrases_ = com.google.protobuf.LazyStringArrayList.EMPTY;
      bitField0_ = (bitField0_ & ~0x00000001);
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * A list of strings containing words and phrases "hints" so that
     * the speech recognition is more likely to recognize them. This can be used
     * to improve the accuracy for specific words and phrases, for example, if
     * specific commands are typically spoken by the user. This can also be used
     * to add additional words to the vocabulary of the recognizer. See
     * [usage limits](https://cloud.google.com/speech-to-text/quotas#content).
     * List items can also be set to classes for groups of words that represent
     * common concepts that occur in natural language. For example, rather than
     * providing phrase hints for every month of the year, using the $MONTH class
     * improves the likelihood of correctly transcribing audio that includes
     * months.
     * </pre>
     *
     * <code>repeated string phrases = 1;</code>
     *
     * @param value The bytes of the phrases to add.
     * @return This builder for chaining.
     */
    public Builder addPhrasesBytes(com.google.protobuf.ByteString value) {
      if (value == null) {
        throw new NullPointerException();
      }
      checkByteStringIsUtf8(value);
      ensurePhrasesIsMutable();
      phrases_.add(value);
      onChanged();
      return this;
    }

    private float boost_;
    /**
     *
     *
     * <pre>
     * Hint Boost. Positive value will increase the probability that a specific
     * phrase will be recognized over other similar sounding phrases. The higher
     * the boost, the higher the chance of false positive recognition as well.
     * Negative boost values would correspond to anti-biasing. Anti-biasing is not
     * enabled, so negative boost will simply be ignored. Though `boost` can
     * accept a wide range of positive values, most use cases are best served with
     * values between 0 and 20. We recommend using a binary search approach to
     * finding the optimal value for your use case.
     * </pre>
     *
     * <code>float boost = 4;</code>
     *
     * @return The boost.
     */
    @java.lang.Override
    public float getBoost() {
      return boost_;
    }
    /**
     *
     *
     * <pre>
     * Hint Boost. Positive value will increase the probability that a specific
     * phrase will be recognized over other similar sounding phrases. The higher
     * the boost, the higher the chance of false positive recognition as well.
     * Negative boost values would correspond to anti-biasing. Anti-biasing is not
     * enabled, so negative boost will simply be ignored. Though `boost` can
     * accept a wide range of positive values, most use cases are best served with
     * values between 0 and 20. We recommend using a binary search approach to
     * finding the optimal value for your use case.
     * </pre>
     *
     * <code>float boost = 4;</code>
     *
     * @param value The boost to set.
     * @return This builder for chaining.
     */
    public Builder setBoost(float value) {

      boost_ = value;
      bitField0_ |= 0x00000002;
      onChanged();
      return this;
    }
    /**
     *
     *
     * <pre>
     * Hint Boost. Positive value will increase the probability that a specific
     * phrase will be recognized over other similar sounding phrases. The higher
     * the boost, the higher the chance of false positive recognition as well.
     * Negative boost values would correspond to anti-biasing. Anti-biasing is not
     * enabled, so negative boost will simply be ignored. Though `boost` can
     * accept a wide range of positive values, most use cases are best served with
     * values between 0 and 20. We recommend using a binary search approach to
     * finding the optimal value for your use case.
     * </pre>
     *
     * <code>float boost = 4;</code>
     *
     * @return This builder for chaining.
     */
    public Builder clearBoost() {
      bitField0_ = (bitField0_ & ~0x00000002);
      boost_ = 0F;
      onChanged();
      return this;
    }

    @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.speech.v1.SpeechContext)
  }

  // @@protoc_insertion_point(class_scope:google.cloud.speech.v1.SpeechContext)
  private static final com.google.cloud.speech.v1.SpeechContext DEFAULT_INSTANCE;

  static {
    DEFAULT_INSTANCE = new com.google.cloud.speech.v1.SpeechContext();
  }

  public static com.google.cloud.speech.v1.SpeechContext getDefaultInstance() {
    return DEFAULT_INSTANCE;
  }

  private static final com.google.protobuf.Parser<SpeechContext> PARSER =
      new com.google.protobuf.AbstractParser<SpeechContext>() {
        @java.lang.Override
        public SpeechContext 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<SpeechContext> parser() {
    return PARSER;
  }

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

  @java.lang.Override
  public com.google.cloud.speech.v1.SpeechContext getDefaultInstanceForType() {
    return DEFAULT_INSTANCE;
  }
}