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// Generated by the protocol buffer compiler.  DO NOT EDIT!
// source: tensorflow_metadata/proto/v0/schema.proto

// Protobuf Java Version: 3.25.4
package org.tensorflow.metadata.v0;

/**
 * 
 * Checks that the approximate Jensen-Shannon Divergence is below a certain
 * threshold between the two distributions.
 * 
* * Protobuf type {@code tensorflow.metadata.v0.JensenShannonDivergence} */ public final class JensenShannonDivergence extends com.google.protobuf.GeneratedMessageV3 implements // @@protoc_insertion_point(message_implements:tensorflow.metadata.v0.JensenShannonDivergence) JensenShannonDivergenceOrBuilder { private static final long serialVersionUID = 0L; // Use JensenShannonDivergence.newBuilder() to construct. private JensenShannonDivergence(com.google.protobuf.GeneratedMessageV3.Builder builder) { super(builder); } private JensenShannonDivergence() { } @java.lang.Override @SuppressWarnings({"unused"}) protected java.lang.Object newInstance( UnusedPrivateParameter unused) { return new JensenShannonDivergence(); } public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { return org.tensorflow.metadata.v0.SchemaOuterClass.internal_static_tensorflow_metadata_v0_JensenShannonDivergence_descriptor; } @java.lang.Override protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable() { return org.tensorflow.metadata.v0.SchemaOuterClass.internal_static_tensorflow_metadata_v0_JensenShannonDivergence_fieldAccessorTable .ensureFieldAccessorsInitialized( org.tensorflow.metadata.v0.JensenShannonDivergence.class, org.tensorflow.metadata.v0.JensenShannonDivergence.Builder.class); } private int bitField0_; public static final int THRESHOLD_FIELD_NUMBER = 1; private double threshold_ = 0D; /** *
   * The JensenShannonDivergence will be in the interval [0.0, 1.0] so sensible
   * bounds should be in the interval [0.0, 1.0).
   * 
* * optional double threshold = 1; * @return Whether the threshold field is set. */ @java.lang.Override public boolean hasThreshold() { return ((bitField0_ & 0x00000001) != 0); } /** *
   * The JensenShannonDivergence will be in the interval [0.0, 1.0] so sensible
   * bounds should be in the interval [0.0, 1.0).
   * 
* * optional double threshold = 1; * @return The threshold. */ @java.lang.Override public double getThreshold() { return threshold_; } public static final int SOURCE_FIELD_NUMBER = 2; private org.tensorflow.metadata.v0.HistogramSelection source_; /** * optional .tensorflow.metadata.v0.HistogramSelection source = 2; * @return Whether the source field is set. */ @java.lang.Override public boolean hasSource() { return ((bitField0_ & 0x00000002) != 0); } /** * optional .tensorflow.metadata.v0.HistogramSelection source = 2; * @return The source. */ @java.lang.Override public org.tensorflow.metadata.v0.HistogramSelection getSource() { return source_ == null ? org.tensorflow.metadata.v0.HistogramSelection.getDefaultInstance() : source_; } /** * optional .tensorflow.metadata.v0.HistogramSelection source = 2; */ @java.lang.Override public org.tensorflow.metadata.v0.HistogramSelectionOrBuilder getSourceOrBuilder() { return source_ == null ? org.tensorflow.metadata.v0.HistogramSelection.getDefaultInstance() : source_; } 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 { if (((bitField0_ & 0x00000001) != 0)) { output.writeDouble(1, threshold_); } if (((bitField0_ & 0x00000002) != 0)) { output.writeMessage(2, getSource()); } getUnknownFields().writeTo(output); } @java.lang.Override public int getSerializedSize() { int size = memoizedSize; if (size != -1) return size; size = 0; if (((bitField0_ & 0x00000001) != 0)) { size += com.google.protobuf.CodedOutputStream .computeDoubleSize(1, threshold_); } if (((bitField0_ & 0x00000002) != 0)) { size += com.google.protobuf.CodedOutputStream .computeMessageSize(2, getSource()); } 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 org.tensorflow.metadata.v0.JensenShannonDivergence)) { return super.equals(obj); } org.tensorflow.metadata.v0.JensenShannonDivergence other = (org.tensorflow.metadata.v0.JensenShannonDivergence) obj; if (hasThreshold() != other.hasThreshold()) return false; if (hasThreshold()) { if (java.lang.Double.doubleToLongBits(getThreshold()) != java.lang.Double.doubleToLongBits( other.getThreshold())) return false; } if (hasSource() != other.hasSource()) return false; if (hasSource()) { if (!getSource() .equals(other.getSource())) 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 (hasThreshold()) { hash = (37 * hash) + THRESHOLD_FIELD_NUMBER; hash = (53 * hash) + com.google.protobuf.Internal.hashLong( java.lang.Double.doubleToLongBits(getThreshold())); } if (hasSource()) { hash = (37 * hash) + SOURCE_FIELD_NUMBER; hash = (53 * hash) + getSource().hashCode(); } hash = (29 * hash) + getUnknownFields().hashCode(); memoizedHashCode = hash; return hash; } public static org.tensorflow.metadata.v0.JensenShannonDivergence parseFrom( java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static org.tensorflow.metadata.v0.JensenShannonDivergence parseFrom( java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data, extensionRegistry); } public static org.tensorflow.metadata.v0.JensenShannonDivergence parseFrom( com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static org.tensorflow.metadata.v0.JensenShannonDivergence parseFrom( com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data, extensionRegistry); } public static org.tensorflow.metadata.v0.JensenShannonDivergence parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static org.tensorflow.metadata.v0.JensenShannonDivergence parseFrom( byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data, extensionRegistry); } public static org.tensorflow.metadata.v0.JensenShannonDivergence parseFrom(java.io.InputStream input) throws java.io.IOException { return com.google.protobuf.GeneratedMessageV3 .parseWithIOException(PARSER, input); } public static org.tensorflow.metadata.v0.JensenShannonDivergence 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 org.tensorflow.metadata.v0.JensenShannonDivergence parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { return com.google.protobuf.GeneratedMessageV3 .parseDelimitedWithIOException(PARSER, input); } public static org.tensorflow.metadata.v0.JensenShannonDivergence 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 org.tensorflow.metadata.v0.JensenShannonDivergence parseFrom( com.google.protobuf.CodedInputStream input) throws java.io.IOException { return com.google.protobuf.GeneratedMessageV3 .parseWithIOException(PARSER, input); } public static org.tensorflow.metadata.v0.JensenShannonDivergence 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(org.tensorflow.metadata.v0.JensenShannonDivergence 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; } /** *
   * Checks that the approximate Jensen-Shannon Divergence is below a certain
   * threshold between the two distributions.
   * 
* * Protobuf type {@code tensorflow.metadata.v0.JensenShannonDivergence} */ public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder implements // @@protoc_insertion_point(builder_implements:tensorflow.metadata.v0.JensenShannonDivergence) org.tensorflow.metadata.v0.JensenShannonDivergenceOrBuilder { public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { return org.tensorflow.metadata.v0.SchemaOuterClass.internal_static_tensorflow_metadata_v0_JensenShannonDivergence_descriptor; } @java.lang.Override protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable() { return org.tensorflow.metadata.v0.SchemaOuterClass.internal_static_tensorflow_metadata_v0_JensenShannonDivergence_fieldAccessorTable .ensureFieldAccessorsInitialized( org.tensorflow.metadata.v0.JensenShannonDivergence.class, org.tensorflow.metadata.v0.JensenShannonDivergence.Builder.class); } // Construct using org.tensorflow.metadata.v0.JensenShannonDivergence.newBuilder() private Builder() { maybeForceBuilderInitialization(); } private Builder( com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { super(parent); maybeForceBuilderInitialization(); } private void maybeForceBuilderInitialization() { if (com.google.protobuf.GeneratedMessageV3 .alwaysUseFieldBuilders) { getSourceFieldBuilder(); } } @java.lang.Override public Builder clear() { super.clear(); bitField0_ = 0; threshold_ = 0D; source_ = null; if (sourceBuilder_ != null) { sourceBuilder_.dispose(); sourceBuilder_ = null; } return this; } @java.lang.Override public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { return org.tensorflow.metadata.v0.SchemaOuterClass.internal_static_tensorflow_metadata_v0_JensenShannonDivergence_descriptor; } @java.lang.Override public org.tensorflow.metadata.v0.JensenShannonDivergence getDefaultInstanceForType() { return org.tensorflow.metadata.v0.JensenShannonDivergence.getDefaultInstance(); } @java.lang.Override public org.tensorflow.metadata.v0.JensenShannonDivergence build() { org.tensorflow.metadata.v0.JensenShannonDivergence result = buildPartial(); if (!result.isInitialized()) { throw newUninitializedMessageException(result); } return result; } @java.lang.Override public org.tensorflow.metadata.v0.JensenShannonDivergence buildPartial() { org.tensorflow.metadata.v0.JensenShannonDivergence result = new org.tensorflow.metadata.v0.JensenShannonDivergence(this); if (bitField0_ != 0) { buildPartial0(result); } onBuilt(); return result; } private void buildPartial0(org.tensorflow.metadata.v0.JensenShannonDivergence result) { int from_bitField0_ = bitField0_; int to_bitField0_ = 0; if (((from_bitField0_ & 0x00000001) != 0)) { result.threshold_ = threshold_; to_bitField0_ |= 0x00000001; } if (((from_bitField0_ & 0x00000002) != 0)) { result.source_ = sourceBuilder_ == null ? source_ : sourceBuilder_.build(); to_bitField0_ |= 0x00000002; } result.bitField0_ |= to_bitField0_; } @java.lang.Override public Builder clone() { return super.clone(); } @java.lang.Override public Builder setField( com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { return super.setField(field, value); } @java.lang.Override public Builder clearField( com.google.protobuf.Descriptors.FieldDescriptor field) { return super.clearField(field); } @java.lang.Override public Builder clearOneof( com.google.protobuf.Descriptors.OneofDescriptor oneof) { return super.clearOneof(oneof); } @java.lang.Override public Builder setRepeatedField( com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) { return super.setRepeatedField(field, index, value); } @java.lang.Override public Builder addRepeatedField( com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) { return super.addRepeatedField(field, value); } @java.lang.Override public Builder mergeFrom(com.google.protobuf.Message other) { if (other instanceof org.tensorflow.metadata.v0.JensenShannonDivergence) { return mergeFrom((org.tensorflow.metadata.v0.JensenShannonDivergence)other); } else { super.mergeFrom(other); return this; } } public Builder mergeFrom(org.tensorflow.metadata.v0.JensenShannonDivergence other) { if (other == org.tensorflow.metadata.v0.JensenShannonDivergence.getDefaultInstance()) return this; if (other.hasThreshold()) { setThreshold(other.getThreshold()); } if (other.hasSource()) { mergeSource(other.getSource()); } this.mergeUnknownFields(other.getUnknownFields()); onChanged(); return this; } @java.lang.Override public final boolean isInitialized() { return true; } @java.lang.Override public Builder mergeFrom( com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException { if (extensionRegistry == null) { throw new java.lang.NullPointerException(); } try { boolean done = false; while (!done) { int tag = input.readTag(); switch (tag) { case 0: done = true; break; case 9: { threshold_ = input.readDouble(); bitField0_ |= 0x00000001; break; } // case 9 case 18: { input.readMessage( getSourceFieldBuilder().getBuilder(), extensionRegistry); bitField0_ |= 0x00000002; break; } // case 18 default: { if (!super.parseUnknownField(input, extensionRegistry, tag)) { done = true; // was an endgroup tag } break; } // default: } // switch (tag) } // while (!done) } catch (com.google.protobuf.InvalidProtocolBufferException e) { throw e.unwrapIOException(); } finally { onChanged(); } // finally return this; } private int bitField0_; private double threshold_ ; /** *
     * The JensenShannonDivergence will be in the interval [0.0, 1.0] so sensible
     * bounds should be in the interval [0.0, 1.0).
     * 
* * optional double threshold = 1; * @return Whether the threshold field is set. */ @java.lang.Override public boolean hasThreshold() { return ((bitField0_ & 0x00000001) != 0); } /** *
     * The JensenShannonDivergence will be in the interval [0.0, 1.0] so sensible
     * bounds should be in the interval [0.0, 1.0).
     * 
* * optional double threshold = 1; * @return The threshold. */ @java.lang.Override public double getThreshold() { return threshold_; } /** *
     * The JensenShannonDivergence will be in the interval [0.0, 1.0] so sensible
     * bounds should be in the interval [0.0, 1.0).
     * 
* * optional double threshold = 1; * @param value The threshold to set. * @return This builder for chaining. */ public Builder setThreshold(double value) { threshold_ = value; bitField0_ |= 0x00000001; onChanged(); return this; } /** *
     * The JensenShannonDivergence will be in the interval [0.0, 1.0] so sensible
     * bounds should be in the interval [0.0, 1.0).
     * 
* * optional double threshold = 1; * @return This builder for chaining. */ public Builder clearThreshold() { bitField0_ = (bitField0_ & ~0x00000001); threshold_ = 0D; onChanged(); return this; } private org.tensorflow.metadata.v0.HistogramSelection source_; private com.google.protobuf.SingleFieldBuilderV3< org.tensorflow.metadata.v0.HistogramSelection, org.tensorflow.metadata.v0.HistogramSelection.Builder, org.tensorflow.metadata.v0.HistogramSelectionOrBuilder> sourceBuilder_; /** * optional .tensorflow.metadata.v0.HistogramSelection source = 2; * @return Whether the source field is set. */ public boolean hasSource() { return ((bitField0_ & 0x00000002) != 0); } /** * optional .tensorflow.metadata.v0.HistogramSelection source = 2; * @return The source. */ public org.tensorflow.metadata.v0.HistogramSelection getSource() { if (sourceBuilder_ == null) { return source_ == null ? org.tensorflow.metadata.v0.HistogramSelection.getDefaultInstance() : source_; } else { return sourceBuilder_.getMessage(); } } /** * optional .tensorflow.metadata.v0.HistogramSelection source = 2; */ public Builder setSource(org.tensorflow.metadata.v0.HistogramSelection value) { if (sourceBuilder_ == null) { if (value == null) { throw new NullPointerException(); } source_ = value; } else { sourceBuilder_.setMessage(value); } bitField0_ |= 0x00000002; onChanged(); return this; } /** * optional .tensorflow.metadata.v0.HistogramSelection source = 2; */ public Builder setSource( org.tensorflow.metadata.v0.HistogramSelection.Builder builderForValue) { if (sourceBuilder_ == null) { source_ = builderForValue.build(); } else { sourceBuilder_.setMessage(builderForValue.build()); } bitField0_ |= 0x00000002; onChanged(); return this; } /** * optional .tensorflow.metadata.v0.HistogramSelection source = 2; */ public Builder mergeSource(org.tensorflow.metadata.v0.HistogramSelection value) { if (sourceBuilder_ == null) { if (((bitField0_ & 0x00000002) != 0) && source_ != null && source_ != org.tensorflow.metadata.v0.HistogramSelection.getDefaultInstance()) { getSourceBuilder().mergeFrom(value); } else { source_ = value; } } else { sourceBuilder_.mergeFrom(value); } if (source_ != null) { bitField0_ |= 0x00000002; onChanged(); } return this; } /** * optional .tensorflow.metadata.v0.HistogramSelection source = 2; */ public Builder clearSource() { bitField0_ = (bitField0_ & ~0x00000002); source_ = null; if (sourceBuilder_ != null) { sourceBuilder_.dispose(); sourceBuilder_ = null; } onChanged(); return this; } /** * optional .tensorflow.metadata.v0.HistogramSelection source = 2; */ public org.tensorflow.metadata.v0.HistogramSelection.Builder getSourceBuilder() { bitField0_ |= 0x00000002; onChanged(); return getSourceFieldBuilder().getBuilder(); } /** * optional .tensorflow.metadata.v0.HistogramSelection source = 2; */ public org.tensorflow.metadata.v0.HistogramSelectionOrBuilder getSourceOrBuilder() { if (sourceBuilder_ != null) { return sourceBuilder_.getMessageOrBuilder(); } else { return source_ == null ? org.tensorflow.metadata.v0.HistogramSelection.getDefaultInstance() : source_; } } /** * optional .tensorflow.metadata.v0.HistogramSelection source = 2; */ private com.google.protobuf.SingleFieldBuilderV3< org.tensorflow.metadata.v0.HistogramSelection, org.tensorflow.metadata.v0.HistogramSelection.Builder, org.tensorflow.metadata.v0.HistogramSelectionOrBuilder> getSourceFieldBuilder() { if (sourceBuilder_ == null) { sourceBuilder_ = new com.google.protobuf.SingleFieldBuilderV3< org.tensorflow.metadata.v0.HistogramSelection, org.tensorflow.metadata.v0.HistogramSelection.Builder, org.tensorflow.metadata.v0.HistogramSelectionOrBuilder>( getSource(), getParentForChildren(), isClean()); source_ = null; } return sourceBuilder_; } @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:tensorflow.metadata.v0.JensenShannonDivergence) } // @@protoc_insertion_point(class_scope:tensorflow.metadata.v0.JensenShannonDivergence) private static final org.tensorflow.metadata.v0.JensenShannonDivergence DEFAULT_INSTANCE; static { DEFAULT_INSTANCE = new org.tensorflow.metadata.v0.JensenShannonDivergence(); } public static org.tensorflow.metadata.v0.JensenShannonDivergence getDefaultInstance() { return DEFAULT_INSTANCE; } @java.lang.Deprecated public static final com.google.protobuf.Parser PARSER = new com.google.protobuf.AbstractParser() { @java.lang.Override public JensenShannonDivergence 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 parser() { return PARSER; } @java.lang.Override public com.google.protobuf.Parser getParserForType() { return PARSER; } @java.lang.Override public org.tensorflow.metadata.v0.JensenShannonDivergence getDefaultInstanceForType() { return DEFAULT_INSTANCE; } }




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