org.tensorflow.metadata.v0.ImageDomain Maven / Gradle / Ivy
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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;
/**
*
* Image data.
*
*
* Protobuf type {@code tensorflow.metadata.v0.ImageDomain}
*/
public final class ImageDomain extends
com.google.protobuf.GeneratedMessageV3 implements
// @@protoc_insertion_point(message_implements:tensorflow.metadata.v0.ImageDomain)
ImageDomainOrBuilder {
private static final long serialVersionUID = 0L;
// Use ImageDomain.newBuilder() to construct.
private ImageDomain(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private ImageDomain() {
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(
UnusedPrivateParameter unused) {
return new ImageDomain();
}
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.metadata.v0.SchemaOuterClass.internal_static_tensorflow_metadata_v0_ImageDomain_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.tensorflow.metadata.v0.SchemaOuterClass.internal_static_tensorflow_metadata_v0_ImageDomain_fieldAccessorTable
.ensureFieldAccessorsInitialized(
org.tensorflow.metadata.v0.ImageDomain.class, org.tensorflow.metadata.v0.ImageDomain.Builder.class);
}
private int bitField0_;
public static final int MINIMUM_SUPPORTED_IMAGE_FRACTION_FIELD_NUMBER = 1;
private float minimumSupportedImageFraction_ = 0F;
/**
*
* If set, at least this fraction of values should be TensorFlow supported
* images.
*
*
* optional float minimum_supported_image_fraction = 1;
* @return Whether the minimumSupportedImageFraction field is set.
*/
@java.lang.Override
public boolean hasMinimumSupportedImageFraction() {
return ((bitField0_ & 0x00000001) != 0);
}
/**
*
* If set, at least this fraction of values should be TensorFlow supported
* images.
*
*
* optional float minimum_supported_image_fraction = 1;
* @return The minimumSupportedImageFraction.
*/
@java.lang.Override
public float getMinimumSupportedImageFraction() {
return minimumSupportedImageFraction_;
}
public static final int MAX_IMAGE_BYTE_SIZE_FIELD_NUMBER = 2;
private long maxImageByteSize_ = 0L;
/**
*
* If set, image should have less than this value of undecoded byte size.
*
*
* optional int64 max_image_byte_size = 2;
* @return Whether the maxImageByteSize field is set.
*/
@java.lang.Override
public boolean hasMaxImageByteSize() {
return ((bitField0_ & 0x00000002) != 0);
}
/**
*
* If set, image should have less than this value of undecoded byte size.
*
*
* optional int64 max_image_byte_size = 2;
* @return The maxImageByteSize.
*/
@java.lang.Override
public long getMaxImageByteSize() {
return maxImageByteSize_;
}
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.writeFloat(1, minimumSupportedImageFraction_);
}
if (((bitField0_ & 0x00000002) != 0)) {
output.writeInt64(2, maxImageByteSize_);
}
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
.computeFloatSize(1, minimumSupportedImageFraction_);
}
if (((bitField0_ & 0x00000002) != 0)) {
size += com.google.protobuf.CodedOutputStream
.computeInt64Size(2, maxImageByteSize_);
}
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.ImageDomain)) {
return super.equals(obj);
}
org.tensorflow.metadata.v0.ImageDomain other = (org.tensorflow.metadata.v0.ImageDomain) obj;
if (hasMinimumSupportedImageFraction() != other.hasMinimumSupportedImageFraction()) return false;
if (hasMinimumSupportedImageFraction()) {
if (java.lang.Float.floatToIntBits(getMinimumSupportedImageFraction())
!= java.lang.Float.floatToIntBits(
other.getMinimumSupportedImageFraction())) return false;
}
if (hasMaxImageByteSize() != other.hasMaxImageByteSize()) return false;
if (hasMaxImageByteSize()) {
if (getMaxImageByteSize()
!= other.getMaxImageByteSize()) 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 (hasMinimumSupportedImageFraction()) {
hash = (37 * hash) + MINIMUM_SUPPORTED_IMAGE_FRACTION_FIELD_NUMBER;
hash = (53 * hash) + java.lang.Float.floatToIntBits(
getMinimumSupportedImageFraction());
}
if (hasMaxImageByteSize()) {
hash = (37 * hash) + MAX_IMAGE_BYTE_SIZE_FIELD_NUMBER;
hash = (53 * hash) + com.google.protobuf.Internal.hashLong(
getMaxImageByteSize());
}
hash = (29 * hash) + getUnknownFields().hashCode();
memoizedHashCode = hash;
return hash;
}
public static org.tensorflow.metadata.v0.ImageDomain parseFrom(
java.nio.ByteBuffer data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.metadata.v0.ImageDomain 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.ImageDomain parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.metadata.v0.ImageDomain 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.ImageDomain parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static org.tensorflow.metadata.v0.ImageDomain parseFrom(
byte[] data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static org.tensorflow.metadata.v0.ImageDomain parseFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.metadata.v0.ImageDomain 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.ImageDomain parseDelimitedFrom(java.io.InputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseDelimitedWithIOException(PARSER, input);
}
public static org.tensorflow.metadata.v0.ImageDomain 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.ImageDomain parseFrom(
com.google.protobuf.CodedInputStream input)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3
.parseWithIOException(PARSER, input);
}
public static org.tensorflow.metadata.v0.ImageDomain 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.ImageDomain 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;
}
/**
*
* Image data.
*
*
* Protobuf type {@code tensorflow.metadata.v0.ImageDomain}
*/
public static final class Builder extends
com.google.protobuf.GeneratedMessageV3.Builder implements
// @@protoc_insertion_point(builder_implements:tensorflow.metadata.v0.ImageDomain)
org.tensorflow.metadata.v0.ImageDomainOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor
getDescriptor() {
return org.tensorflow.metadata.v0.SchemaOuterClass.internal_static_tensorflow_metadata_v0_ImageDomain_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return org.tensorflow.metadata.v0.SchemaOuterClass.internal_static_tensorflow_metadata_v0_ImageDomain_fieldAccessorTable
.ensureFieldAccessorsInitialized(
org.tensorflow.metadata.v0.ImageDomain.class, org.tensorflow.metadata.v0.ImageDomain.Builder.class);
}
// Construct using org.tensorflow.metadata.v0.ImageDomain.newBuilder()
private Builder() {
}
private Builder(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
}
@java.lang.Override
public Builder clear() {
super.clear();
bitField0_ = 0;
minimumSupportedImageFraction_ = 0F;
maxImageByteSize_ = 0L;
return this;
}
@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor
getDescriptorForType() {
return org.tensorflow.metadata.v0.SchemaOuterClass.internal_static_tensorflow_metadata_v0_ImageDomain_descriptor;
}
@java.lang.Override
public org.tensorflow.metadata.v0.ImageDomain getDefaultInstanceForType() {
return org.tensorflow.metadata.v0.ImageDomain.getDefaultInstance();
}
@java.lang.Override
public org.tensorflow.metadata.v0.ImageDomain build() {
org.tensorflow.metadata.v0.ImageDomain result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public org.tensorflow.metadata.v0.ImageDomain buildPartial() {
org.tensorflow.metadata.v0.ImageDomain result = new org.tensorflow.metadata.v0.ImageDomain(this);
if (bitField0_ != 0) { buildPartial0(result); }
onBuilt();
return result;
}
private void buildPartial0(org.tensorflow.metadata.v0.ImageDomain result) {
int from_bitField0_ = bitField0_;
int to_bitField0_ = 0;
if (((from_bitField0_ & 0x00000001) != 0)) {
result.minimumSupportedImageFraction_ = minimumSupportedImageFraction_;
to_bitField0_ |= 0x00000001;
}
if (((from_bitField0_ & 0x00000002) != 0)) {
result.maxImageByteSize_ = maxImageByteSize_;
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.ImageDomain) {
return mergeFrom((org.tensorflow.metadata.v0.ImageDomain)other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(org.tensorflow.metadata.v0.ImageDomain other) {
if (other == org.tensorflow.metadata.v0.ImageDomain.getDefaultInstance()) return this;
if (other.hasMinimumSupportedImageFraction()) {
setMinimumSupportedImageFraction(other.getMinimumSupportedImageFraction());
}
if (other.hasMaxImageByteSize()) {
setMaxImageByteSize(other.getMaxImageByteSize());
}
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: {
minimumSupportedImageFraction_ = input.readFloat();
bitField0_ |= 0x00000001;
break;
} // case 13
case 16: {
maxImageByteSize_ = input.readInt64();
bitField0_ |= 0x00000002;
break;
} // case 16
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 minimumSupportedImageFraction_ ;
/**
*
* If set, at least this fraction of values should be TensorFlow supported
* images.
*
*
* optional float minimum_supported_image_fraction = 1;
* @return Whether the minimumSupportedImageFraction field is set.
*/
@java.lang.Override
public boolean hasMinimumSupportedImageFraction() {
return ((bitField0_ & 0x00000001) != 0);
}
/**
*
* If set, at least this fraction of values should be TensorFlow supported
* images.
*
*
* optional float minimum_supported_image_fraction = 1;
* @return The minimumSupportedImageFraction.
*/
@java.lang.Override
public float getMinimumSupportedImageFraction() {
return minimumSupportedImageFraction_;
}
/**
*
* If set, at least this fraction of values should be TensorFlow supported
* images.
*
*
* optional float minimum_supported_image_fraction = 1;
* @param value The minimumSupportedImageFraction to set.
* @return This builder for chaining.
*/
public Builder setMinimumSupportedImageFraction(float value) {
minimumSupportedImageFraction_ = value;
bitField0_ |= 0x00000001;
onChanged();
return this;
}
/**
*
* If set, at least this fraction of values should be TensorFlow supported
* images.
*
*
* optional float minimum_supported_image_fraction = 1;
* @return This builder for chaining.
*/
public Builder clearMinimumSupportedImageFraction() {
bitField0_ = (bitField0_ & ~0x00000001);
minimumSupportedImageFraction_ = 0F;
onChanged();
return this;
}
private long maxImageByteSize_ ;
/**
*
* If set, image should have less than this value of undecoded byte size.
*
*
* optional int64 max_image_byte_size = 2;
* @return Whether the maxImageByteSize field is set.
*/
@java.lang.Override
public boolean hasMaxImageByteSize() {
return ((bitField0_ & 0x00000002) != 0);
}
/**
*
* If set, image should have less than this value of undecoded byte size.
*
*
* optional int64 max_image_byte_size = 2;
* @return The maxImageByteSize.
*/
@java.lang.Override
public long getMaxImageByteSize() {
return maxImageByteSize_;
}
/**
*
* If set, image should have less than this value of undecoded byte size.
*
*
* optional int64 max_image_byte_size = 2;
* @param value The maxImageByteSize to set.
* @return This builder for chaining.
*/
public Builder setMaxImageByteSize(long value) {
maxImageByteSize_ = value;
bitField0_ |= 0x00000002;
onChanged();
return this;
}
/**
*
* If set, image should have less than this value of undecoded byte size.
*
*
* optional int64 max_image_byte_size = 2;
* @return This builder for chaining.
*/
public Builder clearMaxImageByteSize() {
bitField0_ = (bitField0_ & ~0x00000002);
maxImageByteSize_ = 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.ImageDomain)
}
// @@protoc_insertion_point(class_scope:tensorflow.metadata.v0.ImageDomain)
private static final org.tensorflow.metadata.v0.ImageDomain DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new org.tensorflow.metadata.v0.ImageDomain();
}
public static org.tensorflow.metadata.v0.ImageDomain getDefaultInstance() {
return DEFAULT_INSTANCE;
}
@java.lang.Deprecated public static final com.google.protobuf.Parser
PARSER = new com.google.protobuf.AbstractParser() {
@java.lang.Override
public ImageDomain 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.ImageDomain getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
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