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

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

/**
 * Protobuf type {@code tensorflow.metadata.v0.NumericCrossStatistics}
 */
public final class NumericCrossStatistics extends
    com.google.protobuf.GeneratedMessageV3 implements
    // @@protoc_insertion_point(message_implements:tensorflow.metadata.v0.NumericCrossStatistics)
    NumericCrossStatisticsOrBuilder {
private static final long serialVersionUID = 0L;
  // Use NumericCrossStatistics.newBuilder() to construct.
  private NumericCrossStatistics(com.google.protobuf.GeneratedMessageV3.Builder builder) {
    super(builder);
  }
  private NumericCrossStatistics() {
  }

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

  public static final com.google.protobuf.Descriptors.Descriptor
      getDescriptor() {
    return org.tensorflow.metadata.v0.Statistics.internal_static_tensorflow_metadata_v0_NumericCrossStatistics_descriptor;
  }

  @java.lang.Override
  protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
      internalGetFieldAccessorTable() {
    return org.tensorflow.metadata.v0.Statistics.internal_static_tensorflow_metadata_v0_NumericCrossStatistics_fieldAccessorTable
        .ensureFieldAccessorsInitialized(
            org.tensorflow.metadata.v0.NumericCrossStatistics.class, org.tensorflow.metadata.v0.NumericCrossStatistics.Builder.class);
  }

  public static final int CORRELATION_FIELD_NUMBER = 1;
  private float correlation_ = 0F;
  /**
   * 
   * Pearson product-moment correlation coefficient.
   * 
* * float correlation = 1; * @return The correlation. */ @java.lang.Override public float getCorrelation() { return correlation_; } public static final int COVARIANCE_FIELD_NUMBER = 2; private float covariance_ = 0F; /** *
   * Standard covariance. E[(X-E[X])*(Y-E[Y])]
   * 
* * float covariance = 2; * @return The covariance. */ @java.lang.Override public float getCovariance() { return covariance_; } 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 (java.lang.Float.floatToRawIntBits(correlation_) != 0) { output.writeFloat(1, correlation_); } if (java.lang.Float.floatToRawIntBits(covariance_) != 0) { output.writeFloat(2, covariance_); } getUnknownFields().writeTo(output); } @java.lang.Override public int getSerializedSize() { int size = memoizedSize; if (size != -1) return size; size = 0; if (java.lang.Float.floatToRawIntBits(correlation_) != 0) { size += com.google.protobuf.CodedOutputStream .computeFloatSize(1, correlation_); } if (java.lang.Float.floatToRawIntBits(covariance_) != 0) { size += com.google.protobuf.CodedOutputStream .computeFloatSize(2, covariance_); } 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.NumericCrossStatistics)) { return super.equals(obj); } org.tensorflow.metadata.v0.NumericCrossStatistics other = (org.tensorflow.metadata.v0.NumericCrossStatistics) obj; if (java.lang.Float.floatToIntBits(getCorrelation()) != java.lang.Float.floatToIntBits( other.getCorrelation())) return false; if (java.lang.Float.floatToIntBits(getCovariance()) != java.lang.Float.floatToIntBits( other.getCovariance())) 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(); hash = (37 * hash) + CORRELATION_FIELD_NUMBER; hash = (53 * hash) + java.lang.Float.floatToIntBits( getCorrelation()); hash = (37 * hash) + COVARIANCE_FIELD_NUMBER; hash = (53 * hash) + java.lang.Float.floatToIntBits( getCovariance()); hash = (29 * hash) + getUnknownFields().hashCode(); memoizedHashCode = hash; return hash; } public static org.tensorflow.metadata.v0.NumericCrossStatistics parseFrom( java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static org.tensorflow.metadata.v0.NumericCrossStatistics 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.NumericCrossStatistics parseFrom( com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static org.tensorflow.metadata.v0.NumericCrossStatistics 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.NumericCrossStatistics parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data); } public static org.tensorflow.metadata.v0.NumericCrossStatistics parseFrom( byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException { return PARSER.parseFrom(data, extensionRegistry); } public static org.tensorflow.metadata.v0.NumericCrossStatistics parseFrom(java.io.InputStream input) throws java.io.IOException { return com.google.protobuf.GeneratedMessageV3 .parseWithIOException(PARSER, input); } public static org.tensorflow.metadata.v0.NumericCrossStatistics 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.NumericCrossStatistics parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException { return com.google.protobuf.GeneratedMessageV3 .parseDelimitedWithIOException(PARSER, input); } public static org.tensorflow.metadata.v0.NumericCrossStatistics 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.NumericCrossStatistics parseFrom( com.google.protobuf.CodedInputStream input) throws java.io.IOException { return com.google.protobuf.GeneratedMessageV3 .parseWithIOException(PARSER, input); } public static org.tensorflow.metadata.v0.NumericCrossStatistics 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.NumericCrossStatistics 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; } /** * Protobuf type {@code tensorflow.metadata.v0.NumericCrossStatistics} */ public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder implements // @@protoc_insertion_point(builder_implements:tensorflow.metadata.v0.NumericCrossStatistics) org.tensorflow.metadata.v0.NumericCrossStatisticsOrBuilder { public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() { return org.tensorflow.metadata.v0.Statistics.internal_static_tensorflow_metadata_v0_NumericCrossStatistics_descriptor; } @java.lang.Override protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable() { return org.tensorflow.metadata.v0.Statistics.internal_static_tensorflow_metadata_v0_NumericCrossStatistics_fieldAccessorTable .ensureFieldAccessorsInitialized( org.tensorflow.metadata.v0.NumericCrossStatistics.class, org.tensorflow.metadata.v0.NumericCrossStatistics.Builder.class); } // Construct using org.tensorflow.metadata.v0.NumericCrossStatistics.newBuilder() private Builder() { } private Builder( com.google.protobuf.GeneratedMessageV3.BuilderParent parent) { super(parent); } @java.lang.Override public Builder clear() { super.clear(); bitField0_ = 0; correlation_ = 0F; covariance_ = 0F; return this; } @java.lang.Override public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() { return org.tensorflow.metadata.v0.Statistics.internal_static_tensorflow_metadata_v0_NumericCrossStatistics_descriptor; } @java.lang.Override public org.tensorflow.metadata.v0.NumericCrossStatistics getDefaultInstanceForType() { return org.tensorflow.metadata.v0.NumericCrossStatistics.getDefaultInstance(); } @java.lang.Override public org.tensorflow.metadata.v0.NumericCrossStatistics build() { org.tensorflow.metadata.v0.NumericCrossStatistics result = buildPartial(); if (!result.isInitialized()) { throw newUninitializedMessageException(result); } return result; } @java.lang.Override public org.tensorflow.metadata.v0.NumericCrossStatistics buildPartial() { org.tensorflow.metadata.v0.NumericCrossStatistics result = new org.tensorflow.metadata.v0.NumericCrossStatistics(this); if (bitField0_ != 0) { buildPartial0(result); } onBuilt(); return result; } private void buildPartial0(org.tensorflow.metadata.v0.NumericCrossStatistics result) { int from_bitField0_ = bitField0_; if (((from_bitField0_ & 0x00000001) != 0)) { result.correlation_ = correlation_; } if (((from_bitField0_ & 0x00000002) != 0)) { result.covariance_ = covariance_; } } @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.NumericCrossStatistics) { return mergeFrom((org.tensorflow.metadata.v0.NumericCrossStatistics)other); } else { super.mergeFrom(other); return this; } } public Builder mergeFrom(org.tensorflow.metadata.v0.NumericCrossStatistics other) { if (other == org.tensorflow.metadata.v0.NumericCrossStatistics.getDefaultInstance()) return this; if (other.getCorrelation() != 0F) { setCorrelation(other.getCorrelation()); } if (other.getCovariance() != 0F) { setCovariance(other.getCovariance()); } 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 13: { correlation_ = input.readFloat(); bitField0_ |= 0x00000001; break; } // case 13 case 21: { covariance_ = input.readFloat(); bitField0_ |= 0x00000002; break; } // case 21 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 float correlation_ ; /** *
     * Pearson product-moment correlation coefficient.
     * 
* * float correlation = 1; * @return The correlation. */ @java.lang.Override public float getCorrelation() { return correlation_; } /** *
     * Pearson product-moment correlation coefficient.
     * 
* * float correlation = 1; * @param value The correlation to set. * @return This builder for chaining. */ public Builder setCorrelation(float value) { correlation_ = value; bitField0_ |= 0x00000001; onChanged(); return this; } /** *
     * Pearson product-moment correlation coefficient.
     * 
* * float correlation = 1; * @return This builder for chaining. */ public Builder clearCorrelation() { bitField0_ = (bitField0_ & ~0x00000001); correlation_ = 0F; onChanged(); return this; } private float covariance_ ; /** *
     * Standard covariance. E[(X-E[X])*(Y-E[Y])]
     * 
* * float covariance = 2; * @return The covariance. */ @java.lang.Override public float getCovariance() { return covariance_; } /** *
     * Standard covariance. E[(X-E[X])*(Y-E[Y])]
     * 
* * float covariance = 2; * @param value The covariance to set. * @return This builder for chaining. */ public Builder setCovariance(float value) { covariance_ = value; bitField0_ |= 0x00000002; onChanged(); return this; } /** *
     * Standard covariance. E[(X-E[X])*(Y-E[Y])]
     * 
* * float covariance = 2; * @return This builder for chaining. */ public Builder clearCovariance() { bitField0_ = (bitField0_ & ~0x00000002); covariance_ = 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:tensorflow.metadata.v0.NumericCrossStatistics) } // @@protoc_insertion_point(class_scope:tensorflow.metadata.v0.NumericCrossStatistics) private static final org.tensorflow.metadata.v0.NumericCrossStatistics DEFAULT_INSTANCE; static { DEFAULT_INSTANCE = new org.tensorflow.metadata.v0.NumericCrossStatistics(); } public static org.tensorflow.metadata.v0.NumericCrossStatistics getDefaultInstance() { return DEFAULT_INSTANCE; } private static final com.google.protobuf.Parser PARSER = new com.google.protobuf.AbstractParser() { @java.lang.Override public NumericCrossStatistics 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.NumericCrossStatistics getDefaultInstanceForType() { return DEFAULT_INSTANCE; } }




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