/** * <code>repeated .com.alibaba.otter.canal.protocol.Column beforeColumns = 1;</code> * * <pre> ** 字段信息,增量数据(修改前,删除前) * * </pre> */ public Column.Builder getBeforeColumnsBuilder( int index) { return getBeforeColumnsFieldBuilder().getBuilder(index); } /**
/** * <code>repeated .edu.stanford.nlp.loglinear.model.proto.MetaData variableMetaData = 2;</code> */ public int getVariableMetaDataCount() { if (variableMetaDataBuilder_ == null) { return variableMetaData_.size(); } else { return variableMetaDataBuilder_.getCount(); } } /**
/** * <code>repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;</code> */ public edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector getFactorTable(int index) { if (factorTableBuilder_ == null) { return factorTable_.get(index); } else { return factorTableBuilder_.getMessage(index); } } /**
/** * <code>repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;</code> */ public edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVectorOrBuilder getFactorTableOrBuilder( int index) { if (factorTableBuilder_ == null) { return factorTable_.get(index); } else { return factorTableBuilder_.getMessageOrBuilder(index); } } /**
/** * <code>repeated .com.alibaba.otter.canal.protocol.Column beforeColumns = 1;</code> * * <pre> ** 字段信息,增量数据(修改前,删除前) * * </pre> */ public Column.Builder addBeforeColumnsBuilder() { return getBeforeColumnsFieldBuilder().addBuilder( Column.getDefaultInstance()); } /**
public Builder clear() { super.clear(); if (componentBuilder_ == null) { component_ = java.util.Collections.emptyList(); bitField0_ = (bitField0_ & ~0x00000001); } else { componentBuilder_.clear(); } return this; }
private com.google.protobuf.RepeatedFieldBuilder< Pair, Pair.Builder, PairOrBuilder> getPropsFieldBuilder() { if (propsBuilder_ == null) { propsBuilder_ = new com.google.protobuf.RepeatedFieldBuilder< Pair, Pair.Builder, PairOrBuilder>( props_, ((bitField0_ & 0x00000040) == 0x00000040), getParentForChildren(), isClean()); props_ = null; } return propsBuilder_; }
/** * <code>repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;</code> */ public Builder addFactorTable( int index, edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.Builder builderForValue) { if (factorTableBuilder_ == null) { ensureFactorTableIsMutable(); factorTable_.add(index, builderForValue.build()); onChanged(); } else { factorTableBuilder_.addMessage(index, builderForValue.build()); } return this; } /**
/** * <code>repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;</code> */ public Builder addAllFactor( java.lang.Iterable<? extends edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor> values) { if (factorBuilder_ == null) { ensureFactorIsMutable(); com.google.protobuf.AbstractMessageLite.Builder.addAll( values, factor_); onChanged(); } else { factorBuilder_.addAllMessages(values); } return this; } /**
public edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector buildPartial() { edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector result = new edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector(this); int from_bitField0_ = bitField0_; if (componentBuilder_ == null) { if (((bitField0_ & 0x00000001) == 0x00000001)) { component_ = java.util.Collections.unmodifiableList(component_); bitField0_ = (bitField0_ & ~0x00000001); } result.component_ = component_; } else { result.component_ = componentBuilder_.build(); } onBuilt(); return result; }
/** * <code>repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector.Component component = 1;</code> */ public edu.stanford.nlp.loglinear.model.proto.ConcatVectorProto.ConcatVector.ComponentOrBuilder getComponentOrBuilder( int index) { if (componentBuilder_ == null) { return component_.get(index); } else { return componentBuilder_.getMessageOrBuilder(index); } } /**
/** * <code>repeated .com.alibaba.otter.canal.protocol.Pair props = 7;</code> * * <pre> **预留扩展* * </pre> */ public Pair.Builder addPropsBuilder() { return getPropsFieldBuilder().addBuilder( Pair.getDefaultInstance()); } /**
public Builder clear() { super.clear(); executeTime_ = 0L; bitField0_ = (bitField0_ & ~0x00000001); transactionId_ = ""; bitField0_ = (bitField0_ & ~0x00000002); if (propsBuilder_ == null) { props_ = java.util.Collections.emptyList(); bitField0_ = (bitField0_ & ~0x00000004); } else { propsBuilder_.clear(); } return this; }
private com.google.protobuf.RepeatedFieldBuilder< Column, Column.Builder, ColumnOrBuilder> getAfterColumnsFieldBuilder() { if (afterColumnsBuilder_ == null) { afterColumnsBuilder_ = new com.google.protobuf.RepeatedFieldBuilder< Column, Column.Builder, ColumnOrBuilder>( afterColumns_, ((bitField0_ & 0x00000002) == 0x00000002), getParentForChildren(), isClean()); afterColumns_ = null; } return afterColumnsBuilder_; }
/** * <code>repeated .edu.stanford.nlp.loglinear.model.proto.MetaData variableMetaData = 2;</code> */ public Builder addVariableMetaData( int index, edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData.Builder builderForValue) { if (variableMetaDataBuilder_ == null) { ensureVariableMetaDataIsMutable(); variableMetaData_.add(index, builderForValue.build()); onChanged(); } else { variableMetaDataBuilder_.addMessage(index, builderForValue.build()); } return this; } /**
/** * <code>repeated .edu.stanford.nlp.loglinear.model.proto.MetaData variableMetaData = 2;</code> */ public Builder addAllVariableMetaData( java.lang.Iterable<? extends edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.MetaData> values) { if (variableMetaDataBuilder_ == null) { ensureVariableMetaDataIsMutable(); com.google.protobuf.AbstractMessageLite.Builder.addAll( values, variableMetaData_); onChanged(); } else { variableMetaDataBuilder_.addAllMessages(values); } return this; } /**
/** * <code>repeated .com.alibaba.otter.canal.protocol.Pair props = 3;</code> * * <pre> **预留扩展* * </pre> */ public Pair.Builder getPropsBuilder( int index) { return getPropsFieldBuilder().getBuilder(index); } /**
/** * <code>repeated .edu.stanford.nlp.loglinear.model.proto.ConcatVector factorTable = 2;</code> */ public int getFactorTableCount() { if (factorTableBuilder_ == null) { return factorTable_.size(); } else { return factorTableBuilder_.getCount(); } } /**
/** * <code>repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;</code> */ public edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.Factor getFactor(int index) { if (factorBuilder_ == null) { return factor_.get(index); } else { return factorBuilder_.getMessage(index); } } /**
/** * <code>repeated .edu.stanford.nlp.loglinear.model.proto.Factor factor = 1;</code> */ public edu.stanford.nlp.loglinear.model.proto.GraphicalModelProto.FactorOrBuilder getFactorOrBuilder( int index) { if (factorBuilder_ == null) { return factor_.get(index); } else { return factorBuilder_.getMessageOrBuilder(index); } } /**