org.tensorflow.metadata.v0.HistogramSelection Maven / Gradle / Ivy
The newest version!
// 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;
/**
* Protobuf type {@code tensorflow.metadata.v0.HistogramSelection}
*/
public final class HistogramSelection extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.metadata.v0.HistogramSelection)
HistogramSelectionOrBuilder {
private static final long serialVersionUID = 0L;
// Use HistogramSelection.newBuilder() to construct.
private HistogramSelection(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private HistogramSelection() {
type_ = 0;
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(
UnusedPrivateParameter unused) {
return new HistogramSelection();
}
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.metadata.v0.SchemaOuterClass.internal_static_tensorflow_metadata_v0_HistogramSelection_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.tensorflow.metadata.v0.SchemaOuterClass.internal_static_tensorflow_metadata_v0_HistogramSelection_fieldAccessorTable
.ensureFieldAccessorsInitialized(
org.tensorflow.metadata.v0.HistogramSelection.class, org.tensorflow.metadata.v0.HistogramSelection.Builder.class);
}
/**
*
* Type controls the source of the histogram used for numeric drift and
* skew calculations. Currently the default is STANDARD. Calculations
* based on QUANTILES are more robust to outliers.
*
*
* Protobuf enum {@code tensorflow.metadata.v0.HistogramSelection.Type}
*/
public enum Type
implements com.google.protobuf.ProtocolMessageEnum {
/**
* DEFAULT = 0;
*/
DEFAULT(0),
/**
* QUANTILES = 1;
*/
QUANTILES(1),
/**
* STANDARD = 2;
*/
STANDARD(2),
;
/**
* DEFAULT = 0;
*/
public static final int DEFAULT_VALUE = 0;
/**
* QUANTILES = 1;
*/
public static final int QUANTILES_VALUE = 1;
/**
* STANDARD = 2;
*/
public static final int STANDARD_VALUE = 2;
public final int getNumber() {
return value;
}
/**
* @param value The numeric wire value of the corresponding enum entry.
* @return The enum associated with the given numeric wire value.
* @deprecated Use {@link #forNumber(int)} instead.
*/
@java.lang.Deprecated
public static Type valueOf(int value) {
return forNumber(value);
}
/**
* @param value The numeric wire value of the corresponding enum entry.
* @return The enum associated with the given numeric wire value.
*/
public static Type forNumber(int value) {
switch (value) {
case 0: return DEFAULT;
case 1: return QUANTILES;
case 2: return STANDARD;
default: return null;
}
}
public static com.google.protobuf.Internal.EnumLiteMap
internalGetValueMap() {
return internalValueMap;
}
private static final com.google.protobuf.Internal.EnumLiteMap<
Type> internalValueMap =
new com.google.protobuf.Internal.EnumLiteMap() {
public Type findValueByNumber(int number) {
return Type.forNumber(number);
}
};
public final com.google.protobuf.Descriptors.EnumValueDescriptor
getValueDescriptor() {
return getDescriptor().getValues().get(ordinal());
}
public final com.google.protobuf.Descriptors.EnumDescriptor
getDescriptorForType() {
return getDescriptor();
}
public static final com.google.protobuf.Descriptors.EnumDescriptor
getDescriptor() {
return org.tensorflow.metadata.v0.HistogramSelection.getDescriptor().getEnumTypes().get(0);
}
private static final Type[] VALUES = values();
public static Type valueOf(
com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
if (desc.getType() != getDescriptor()) {
throw new java.lang.IllegalArgumentException(
"EnumValueDescriptor is not for this type.");
}
return VALUES[desc.getIndex()];
}
private final int value;
private Type(int value) {
this.value = value;
}
// @@protoc_insertion_point(enum_scope:tensorflow.metadata.v0.HistogramSelection.Type)
}
private int bitField0_;
public static final int TYPE_FIELD_NUMBER = 1;
private int type_ = 0;
/**
* optional .tensorflow.metadata.v0.HistogramSelection.Type type = 1;
* @return Whether the type field is set.
*/
@java.lang.Override public boolean hasType() {
return ((bitField0_ & 0x00000001) != 0);
}
/**
* optional .tensorflow.metadata.v0.HistogramSelection.Type type = 1;
* @return The type.
*/
@java.lang.Override public org.tensorflow.metadata.v0.HistogramSelection.Type getType() {
org.tensorflow.metadata.v0.HistogramSelection.Type result = org.tensorflow.metadata.v0.HistogramSelection.Type.forNumber(type_);
return result == null ? org.tensorflow.metadata.v0.HistogramSelection.Type.DEFAULT : result;
}
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.writeEnum(1, type_);
}
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
.computeEnumSize(1, type_);
}
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.HistogramSelection)) {
return super.equals(obj);
}
org.tensorflow.metadata.v0.HistogramSelection other = (org.tensorflow.metadata.v0.HistogramSelection) obj;
if (hasType() != other.hasType()) return false;
if (hasType()) {
if (type_ != other.type_) 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 (hasType()) {
hash = (37 * hash) + TYPE_FIELD_NUMBER;
hash = (53 * hash) + type_;
}
hash = (29 * hash) + getUnknownFields().hashCode();
memoizedHashCode = hash;
return hash;
}
public static org.tensorflow.metadata.v0.HistogramSelection parseFrom(
java.nio.ByteBuffer data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.metadata.v0.HistogramSelection 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.HistogramSelection parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.metadata.v0.HistogramSelection 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.HistogramSelection parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.metadata.v0.HistogramSelection parseFrom(
byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.metadata.v0.HistogramSelection parseFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.metadata.v0.HistogramSelection 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.HistogramSelection parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static org.tensorflow.metadata.v0.HistogramSelection 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.HistogramSelection parseFrom(
com.google.protobuf.CodedInputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.metadata.v0.HistogramSelection 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.HistogramSelection 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.HistogramSelection}
*/
public static final class Builder extends
com.google.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.metadata.v0.HistogramSelection)
org.tensorflow.metadata.v0.HistogramSelectionOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.metadata.v0.SchemaOuterClass.internal_static_tensorflow_metadata_v0_HistogramSelection_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.tensorflow.metadata.v0.SchemaOuterClass.internal_static_tensorflow_metadata_v0_HistogramSelection_fieldAccessorTable
.ensureFieldAccessorsInitialized(
org.tensorflow.metadata.v0.HistogramSelection.class, org.tensorflow.metadata.v0.HistogramSelection.Builder.class);
}
// Construct using org.tensorflow.metadata.v0.HistogramSelection.newBuilder()
private Builder() {
}
private Builder(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
}
@java.lang.Override
public Builder clear() {
super.clear();
bitField0_ = 0;
type_ = 0;
return this;
}
@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor
getDescriptorForType() {
return org.tensorflow.metadata.v0.SchemaOuterClass.internal_static_tensorflow_metadata_v0_HistogramSelection_descriptor;
}
@java.lang.Override
public org.tensorflow.metadata.v0.HistogramSelection getDefaultInstanceForType() {
return org.tensorflow.metadata.v0.HistogramSelection.getDefaultInstance();
}
@java.lang.Override
public org.tensorflow.metadata.v0.HistogramSelection build() {
org.tensorflow.metadata.v0.HistogramSelection result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public org.tensorflow.metadata.v0.HistogramSelection buildPartial() {
org.tensorflow.metadata.v0.HistogramSelection result = new org.tensorflow.metadata.v0.HistogramSelection(this);
if (bitField0_ != 0) { buildPartial0(result); }
onBuilt();
return result;
}
private void buildPartial0(org.tensorflow.metadata.v0.HistogramSelection result) {
int from_bitField0_ = bitField0_;
int to_bitField0_ = 0;
if (((from_bitField0_ & 0x00000001) != 0)) {
result.type_ = type_;
to_bitField0_ |= 0x00000001;
}
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.HistogramSelection) {
return mergeFrom((org.tensorflow.metadata.v0.HistogramSelection)other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(org.tensorflow.metadata.v0.HistogramSelection other) {
if (other == org.tensorflow.metadata.v0.HistogramSelection.getDefaultInstance()) return this;
if (other.hasType()) {
setType(other.getType());
}
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 8: {
int tmpRaw = input.readEnum();
org.tensorflow.metadata.v0.HistogramSelection.Type tmpValue =
org.tensorflow.metadata.v0.HistogramSelection.Type.forNumber(tmpRaw);
if (tmpValue == null) {
mergeUnknownVarintField(1, tmpRaw);
} else {
type_ = tmpRaw;
bitField0_ |= 0x00000001;
}
break;
} // case 8
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 int type_ = 0;
/**
* optional .tensorflow.metadata.v0.HistogramSelection.Type type = 1;
* @return Whether the type field is set.
*/
@java.lang.Override public boolean hasType() {
return ((bitField0_ & 0x00000001) != 0);
}
/**
* optional .tensorflow.metadata.v0.HistogramSelection.Type type = 1;
* @return The type.
*/
@java.lang.Override
public org.tensorflow.metadata.v0.HistogramSelection.Type getType() {
org.tensorflow.metadata.v0.HistogramSelection.Type result = org.tensorflow.metadata.v0.HistogramSelection.Type.forNumber(type_);
return result == null ? org.tensorflow.metadata.v0.HistogramSelection.Type.DEFAULT : result;
}
/**
* optional .tensorflow.metadata.v0.HistogramSelection.Type type = 1;
* @param value The type to set.
* @return This builder for chaining.
*/
public Builder setType(org.tensorflow.metadata.v0.HistogramSelection.Type value) {
if (value == null) {
throw new NullPointerException();
}
bitField0_ |= 0x00000001;
type_ = value.getNumber();
onChanged();
return this;
}
/**
* optional .tensorflow.metadata.v0.HistogramSelection.Type type = 1;
* @return This builder for chaining.
*/
public Builder clearType() {
bitField0_ = (bitField0_ & ~0x00000001);
type_ = 0;
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.HistogramSelection)
}
// @@protoc_insertion_point(class_scope:tensorflow.metadata.v0.HistogramSelection)
private static final org.tensorflow.metadata.v0.HistogramSelection DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.metadata.v0.HistogramSelection();
}
public static org.tensorflow.metadata.v0.HistogramSelection getDefaultInstance() {
return DEFAULT_INSTANCE;
}
@java.lang.Deprecated public static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public HistogramSelection 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.HistogramSelection getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy