org.tensorflow.metadata.v0.PresenceAndValencyStatistics Maven / Gradle / Ivy
The newest version!
// 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;
/**
*
* Statistics about the presence and valency of feature values. Feature values
* could be nested lists. A feature in tf.Examples or other "flat" datasets has
* values of nest level 1 -- they are lists of primitives. A nest level N
* (N > 1) feature value is a list of lists of nest level (N - 1).
* This proto can be used to describe the presence and valency of values at each
* level.
*
*
* Protobuf type {@code tensorflow.metadata.v0.PresenceAndValencyStatistics}
*/
public final class PresenceAndValencyStatistics extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.metadata.v0.PresenceAndValencyStatistics)
PresenceAndValencyStatisticsOrBuilder {
private static final long serialVersionUID = 0L;
// Use PresenceAndValencyStatistics.newBuilder() to construct.
private PresenceAndValencyStatistics(com.google.protobuf.GeneratedMessageV3.Builder> builder) {
super(builder);
}
private PresenceAndValencyStatistics() {
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(
UnusedPrivateParameter unused) {
return new PresenceAndValencyStatistics();
}
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.metadata.v0.Statistics.internal_static_tensorflow_metadata_v0_PresenceAndValencyStatistics_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.tensorflow.metadata.v0.Statistics.internal_static_tensorflow_metadata_v0_PresenceAndValencyStatistics_fieldAccessorTable
.ensureFieldAccessorsInitialized(
org.tensorflow.metadata.v0.PresenceAndValencyStatistics.class, org.tensorflow.metadata.v0.PresenceAndValencyStatistics.Builder.class);
}
public static final int NUM_NON_MISSING_FIELD_NUMBER = 1;
private long numNonMissing_ = 0L;
/**
*
* Note: missing and non-missing counts are conditioned on the upper level
* being non-missing (i.e. if the upper level is missing/null, all the levels
* nested below are by definition missing, but not counted).
* Number non-missing (not-null) values.
*
*
* uint64 num_non_missing = 1;
* @return The numNonMissing.
*/
@java.lang.Override
public long getNumNonMissing() {
return numNonMissing_;
}
public static final int NUM_MISSING_FIELD_NUMBER = 2;
private long numMissing_ = 0L;
/**
*
* Number of missing (null) values.
*
*
* uint64 num_missing = 2;
* @return The numMissing.
*/
@java.lang.Override
public long getNumMissing() {
return numMissing_;
}
public static final int MIN_NUM_VALUES_FIELD_NUMBER = 3;
private long minNumValues_ = 0L;
/**
*
* Minimum length of the values (note that nulls are not considered).
*
*
* uint64 min_num_values = 3;
* @return The minNumValues.
*/
@java.lang.Override
public long getMinNumValues() {
return minNumValues_;
}
public static final int MAX_NUM_VALUES_FIELD_NUMBER = 4;
private long maxNumValues_ = 0L;
/**
*
* Maximum length of the values.
*
*
* uint64 max_num_values = 4;
* @return The maxNumValues.
*/
@java.lang.Override
public long getMaxNumValues() {
return maxNumValues_;
}
public static final int TOT_NUM_VALUES_FIELD_NUMBER = 5;
private long totNumValues_ = 0L;
/**
*
* Total number of values.
*
*
* uint64 tot_num_values = 5;
* @return The totNumValues.
*/
@java.lang.Override
public long getTotNumValues() {
return totNumValues_;
}
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 (numNonMissing_ != 0L) {
output.writeUInt64(1, numNonMissing_);
}
if (numMissing_ != 0L) {
output.writeUInt64(2, numMissing_);
}
if (minNumValues_ != 0L) {
output.writeUInt64(3, minNumValues_);
}
if (maxNumValues_ != 0L) {
output.writeUInt64(4, maxNumValues_);
}
if (totNumValues_ != 0L) {
output.writeUInt64(5, totNumValues_);
}
getUnknownFields().writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
if (numNonMissing_ != 0L) {
size += com.google.protobuf.CodedOutputStream
.computeUInt64Size(1, numNonMissing_);
}
if (numMissing_ != 0L) {
size += com.google.protobuf.CodedOutputStream
.computeUInt64Size(2, numMissing_);
}
if (minNumValues_ != 0L) {
size += com.google.protobuf.CodedOutputStream
.computeUInt64Size(3, minNumValues_);
}
if (maxNumValues_ != 0L) {
size += com.google.protobuf.CodedOutputStream
.computeUInt64Size(4, maxNumValues_);
}
if (totNumValues_ != 0L) {
size += com.google.protobuf.CodedOutputStream
.computeUInt64Size(5, totNumValues_);
}
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.PresenceAndValencyStatistics)) {
return super.equals(obj);
}
org.tensorflow.metadata.v0.PresenceAndValencyStatistics other = (org.tensorflow.metadata.v0.PresenceAndValencyStatistics) obj;
if (getNumNonMissing()
!= other.getNumNonMissing()) return false;
if (getNumMissing()
!= other.getNumMissing()) return false;
if (getMinNumValues()
!= other.getMinNumValues()) return false;
if (getMaxNumValues()
!= other.getMaxNumValues()) return false;
if (getTotNumValues()
!= other.getTotNumValues()) 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) + NUM_NON_MISSING_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashLong(
getNumNonMissing());
hash = (37 * hash) + NUM_MISSING_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashLong(
getNumMissing());
hash = (37 * hash) + MIN_NUM_VALUES_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashLong(
getMinNumValues());
hash = (37 * hash) + MAX_NUM_VALUES_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashLong(
getMaxNumValues());
hash = (37 * hash) + TOT_NUM_VALUES_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashLong(
getTotNumValues());
hash = (29 * hash) + getUnknownFields().hashCode();
memoizedHashCode = hash;
return hash;
}
public static org.tensorflow.metadata.v0.PresenceAndValencyStatistics parseFrom(
java.nio.ByteBuffer data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.metadata.v0.PresenceAndValencyStatistics 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.PresenceAndValencyStatistics parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.metadata.v0.PresenceAndValencyStatistics 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.PresenceAndValencyStatistics parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.metadata.v0.PresenceAndValencyStatistics parseFrom(
byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.metadata.v0.PresenceAndValencyStatistics parseFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.metadata.v0.PresenceAndValencyStatistics 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.PresenceAndValencyStatistics parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static org.tensorflow.metadata.v0.PresenceAndValencyStatistics 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.PresenceAndValencyStatistics parseFrom(
com.google.protobuf.CodedInputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.metadata.v0.PresenceAndValencyStatistics 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.PresenceAndValencyStatistics 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;
}
/**
*
* Statistics about the presence and valency of feature values. Feature values
* could be nested lists. A feature in tf.Examples or other "flat" datasets has
* values of nest level 1 -- they are lists of primitives. A nest level N
* (N > 1) feature value is a list of lists of nest level (N - 1).
* This proto can be used to describe the presence and valency of values at each
* level.
*
*
* Protobuf type {@code tensorflow.metadata.v0.PresenceAndValencyStatistics}
*/
public static final class Builder extends
com.google.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.metadata.v0.PresenceAndValencyStatistics)
org.tensorflow.metadata.v0.PresenceAndValencyStatisticsOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.metadata.v0.Statistics.internal_static_tensorflow_metadata_v0_PresenceAndValencyStatistics_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.tensorflow.metadata.v0.Statistics.internal_static_tensorflow_metadata_v0_PresenceAndValencyStatistics_fieldAccessorTable
.ensureFieldAccessorsInitialized(
org.tensorflow.metadata.v0.PresenceAndValencyStatistics.class, org.tensorflow.metadata.v0.PresenceAndValencyStatistics.Builder.class);
}
// Construct using org.tensorflow.metadata.v0.PresenceAndValencyStatistics.newBuilder()
private Builder() {
}
private Builder(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
}
@java.lang.Override
public Builder clear() {
super.clear();
bitField0_ = 0;
numNonMissing_ = 0L;
numMissing_ = 0L;
minNumValues_ = 0L;
maxNumValues_ = 0L;
totNumValues_ = 0L;
return this;
}
@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor
getDescriptorForType() {
return org.tensorflow.metadata.v0.Statistics.internal_static_tensorflow_metadata_v0_PresenceAndValencyStatistics_descriptor;
}
@java.lang.Override
public org.tensorflow.metadata.v0.PresenceAndValencyStatistics getDefaultInstanceForType() {
return org.tensorflow.metadata.v0.PresenceAndValencyStatistics.getDefaultInstance();
}
@java.lang.Override
public org.tensorflow.metadata.v0.PresenceAndValencyStatistics build() {
org.tensorflow.metadata.v0.PresenceAndValencyStatistics result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public org.tensorflow.metadata.v0.PresenceAndValencyStatistics buildPartial() {
org.tensorflow.metadata.v0.PresenceAndValencyStatistics result = new org.tensorflow.metadata.v0.PresenceAndValencyStatistics(this);
if (bitField0_ != 0) { buildPartial0(result); }
onBuilt();
return result;
}
private void buildPartial0(org.tensorflow.metadata.v0.PresenceAndValencyStatistics result) {
int from_bitField0_ = bitField0_;
if (((from_bitField0_ & 0x00000001) != 0)) {
result.numNonMissing_ = numNonMissing_;
}
if (((from_bitField0_ & 0x00000002) != 0)) {
result.numMissing_ = numMissing_;
}
if (((from_bitField0_ & 0x00000004) != 0)) {
result.minNumValues_ = minNumValues_;
}
if (((from_bitField0_ & 0x00000008) != 0)) {
result.maxNumValues_ = maxNumValues_;
}
if (((from_bitField0_ & 0x00000010) != 0)) {
result.totNumValues_ = totNumValues_;
}
}
@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.PresenceAndValencyStatistics) {
return mergeFrom((org.tensorflow.metadata.v0.PresenceAndValencyStatistics)other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(org.tensorflow.metadata.v0.PresenceAndValencyStatistics other) {
if (other == org.tensorflow.metadata.v0.PresenceAndValencyStatistics.getDefaultInstance()) return this;
if (other.getNumNonMissing() != 0L) {
setNumNonMissing(other.getNumNonMissing());
}
if (other.getNumMissing() != 0L) {
setNumMissing(other.getNumMissing());
}
if (other.getMinNumValues() != 0L) {
setMinNumValues(other.getMinNumValues());
}
if (other.getMaxNumValues() != 0L) {
setMaxNumValues(other.getMaxNumValues());
}
if (other.getTotNumValues() != 0L) {
setTotNumValues(other.getTotNumValues());
}
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: {
numNonMissing_ = input.readUInt64();
bitField0_ |= 0x00000001;
break;
} // case 8
case 16: {
numMissing_ = input.readUInt64();
bitField0_ |= 0x00000002;
break;
} // case 16
case 24: {
minNumValues_ = input.readUInt64();
bitField0_ |= 0x00000004;
break;
} // case 24
case 32: {
maxNumValues_ = input.readUInt64();
bitField0_ |= 0x00000008;
break;
} // case 32
case 40: {
totNumValues_ = input.readUInt64();
bitField0_ |= 0x00000010;
break;
} // case 40
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 long numNonMissing_ ;
/**
*
* Note: missing and non-missing counts are conditioned on the upper level
* being non-missing (i.e. if the upper level is missing/null, all the levels
* nested below are by definition missing, but not counted).
* Number non-missing (not-null) values.
*
*
* uint64 num_non_missing = 1;
* @return The numNonMissing.
*/
@java.lang.Override
public long getNumNonMissing() {
return numNonMissing_;
}
/**
*
* Note: missing and non-missing counts are conditioned on the upper level
* being non-missing (i.e. if the upper level is missing/null, all the levels
* nested below are by definition missing, but not counted).
* Number non-missing (not-null) values.
*
*
* uint64 num_non_missing = 1;
* @param value The numNonMissing to set.
* @return This builder for chaining.
*/
public Builder setNumNonMissing(long value) {
numNonMissing_ = value;
bitField0_ |= 0x00000001;
onChanged();
return this;
}
/**
*
* Note: missing and non-missing counts are conditioned on the upper level
* being non-missing (i.e. if the upper level is missing/null, all the levels
* nested below are by definition missing, but not counted).
* Number non-missing (not-null) values.
*
*
* uint64 num_non_missing = 1;
* @return This builder for chaining.
*/
public Builder clearNumNonMissing() {
bitField0_ = (bitField0_ & ~0x00000001);
numNonMissing_ = 0L;
onChanged();
return this;
}
private long numMissing_ ;
/**
*
* Number of missing (null) values.
*
*
* uint64 num_missing = 2;
* @return The numMissing.
*/
@java.lang.Override
public long getNumMissing() {
return numMissing_;
}
/**
*
* Number of missing (null) values.
*
*
* uint64 num_missing = 2;
* @param value The numMissing to set.
* @return This builder for chaining.
*/
public Builder setNumMissing(long value) {
numMissing_ = value;
bitField0_ |= 0x00000002;
onChanged();
return this;
}
/**
*
* Number of missing (null) values.
*
*
* uint64 num_missing = 2;
* @return This builder for chaining.
*/
public Builder clearNumMissing() {
bitField0_ = (bitField0_ & ~0x00000002);
numMissing_ = 0L;
onChanged();
return this;
}
private long minNumValues_ ;
/**
*
* Minimum length of the values (note that nulls are not considered).
*
*
* uint64 min_num_values = 3;
* @return The minNumValues.
*/
@java.lang.Override
public long getMinNumValues() {
return minNumValues_;
}
/**
*
* Minimum length of the values (note that nulls are not considered).
*
*
* uint64 min_num_values = 3;
* @param value The minNumValues to set.
* @return This builder for chaining.
*/
public Builder setMinNumValues(long value) {
minNumValues_ = value;
bitField0_ |= 0x00000004;
onChanged();
return this;
}
/**
*
* Minimum length of the values (note that nulls are not considered).
*
*
* uint64 min_num_values = 3;
* @return This builder for chaining.
*/
public Builder clearMinNumValues() {
bitField0_ = (bitField0_ & ~0x00000004);
minNumValues_ = 0L;
onChanged();
return this;
}
private long maxNumValues_ ;
/**
*
* Maximum length of the values.
*
*
* uint64 max_num_values = 4;
* @return The maxNumValues.
*/
@java.lang.Override
public long getMaxNumValues() {
return maxNumValues_;
}
/**
*
* Maximum length of the values.
*
*
* uint64 max_num_values = 4;
* @param value The maxNumValues to set.
* @return This builder for chaining.
*/
public Builder setMaxNumValues(long value) {
maxNumValues_ = value;
bitField0_ |= 0x00000008;
onChanged();
return this;
}
/**
*
* Maximum length of the values.
*
*
* uint64 max_num_values = 4;
* @return This builder for chaining.
*/
public Builder clearMaxNumValues() {
bitField0_ = (bitField0_ & ~0x00000008);
maxNumValues_ = 0L;
onChanged();
return this;
}
private long totNumValues_ ;
/**
*
* Total number of values.
*
*
* uint64 tot_num_values = 5;
* @return The totNumValues.
*/
@java.lang.Override
public long getTotNumValues() {
return totNumValues_;
}
/**
*
* Total number of values.
*
*
* uint64 tot_num_values = 5;
* @param value The totNumValues to set.
* @return This builder for chaining.
*/
public Builder setTotNumValues(long value) {
totNumValues_ = value;
bitField0_ |= 0x00000010;
onChanged();
return this;
}
/**
*
* Total number of values.
*
*
* uint64 tot_num_values = 5;
* @return This builder for chaining.
*/
public Builder clearTotNumValues() {
bitField0_ = (bitField0_ & ~0x00000010);
totNumValues_ = 0L;
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.PresenceAndValencyStatistics)
}
// @@protoc_insertion_point(class_scope:tensorflow.metadata.v0.PresenceAndValencyStatistics)
private static final org.tensorflow.metadata.v0.PresenceAndValencyStatistics DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.metadata.v0.PresenceAndValencyStatistics();
}
public static org.tensorflow.metadata.v0.PresenceAndValencyStatistics getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public PresenceAndValencyStatistics 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.PresenceAndValencyStatistics getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy