cascading.tuple.TupleEntry.getDouble()方法的使用及代码示例

x33g5p2x  于2022-01-29 转载在 其他  
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本文整理了Java中cascading.tuple.TupleEntry.getDouble()方法的一些代码示例，展示了TupleEntry.getDouble()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。TupleEntry.getDouble()方法的具体详情如下：
包路径：cascading.tuple.TupleEntry
类名称：TupleEntry
方法名：getDouble

TupleEntry.getDouble介绍

[英]Method getDouble returns the element for the given field name or position as a double. Zero if null.
fieldName may optionally be a Fields instance. Only the first field name or position will be considered.
[中]方法getDouble将给定字段名或位置的元素作为double返回。如果为空，则为零。
fieldName也可以是Fields实例。只考虑第一个字段名或位置。

代码示例

代码示例来源：origin: cwensel/cascading

/**
 * Method fieldToDouble returns a {@link Function} that returns the double in the given named field or position.
 *
 * @param fields the field to select, only first field will be honored
 * @return the double value in the selected field
 */
public static ToDoubleFunction<TupleEntry> fieldToDouble( Fields fields )
 {
 Objects.requireNonNull( fields );
 return value -> value.getDouble( fields );
 }

代码示例来源：origin: cwensel/cascading

/**
 * Method fieldToDouble returns a {@link Function} that returns the double in the given named field or position.
 *
 * @param name the field to select
 * @return the double value in the selected field
 */
public static ToDoubleFunction<TupleEntry> fieldToDouble( Comparable name )
 {
 Objects.requireNonNull( name );
 return value -> value.getDouble( name );
 }

代码示例来源：origin: cascading/pattern-core

public double calculate( TupleEntry tupleEntry )
 {
 return predictor.calculate( tupleEntry.getDouble( index ) );
 }
}

代码示例来源：origin: cwensel/cascading

@Override
public void aggregate( FlowProcess flowProcess, AggregatorCall<Context> aggregatorCall )
 {
 Context context = aggregatorCall.getContext();
 TupleEntry arguments = aggregatorCall.getArguments();
 context.sum += arguments.getDouble( 0 );
 context.count += 1L;
 }

代码示例来源：origin: LiveRamp/cascading_ext

aggregate[i] = 0D;
aggregate[i] = ((Double)aggregate[i]) + nextValue.getDouble(i);
break;

代码示例来源：origin: cwensel/cascading

public void aggregate( FlowProcess flowProcess, AggregatorCall<Double[]> aggregatorCall )
 {
 TupleEntry entry = aggregatorCall.getArguments();
 aggregatorCall.getContext()[ 0 ] += Math.pow( entry.getDouble( 0 ) - entry.getDouble( 1 ), 2 );
 }

代码示例来源：origin: cwensel/cascading

@Override
public void aggregate( FlowProcess flowProcess, AggregatorCall<Pair<Double[], Tuple>> aggregatorCall )
 {
 TupleEntry arguments = aggregatorCall.getArguments();
 if( arguments.getObject( 0 ) == null )
  return;
 Double[] sum = aggregatorCall.getContext().getLhs();
 double value = sum[ 0 ] == null ? 0 : sum[ 0 ];
 sum[ 0 ] = value + arguments.getDouble( 0 );
 }

代码示例来源：origin: cascading/pattern-core

@Override
public void operate( FlowProcess flowProcess, BufferCall<DecisionContext> bufferCall )
 {
 double[] results = bufferCall.getContext().results;
 Arrays.fill( results, 0 ); // clear before use
 Iterator<TupleEntry> iterator = bufferCall.getArgumentsIterator();
 int count = 0;
 while( iterator.hasNext() )
  {
  TupleEntry next = iterator.next();
  Double score = next.getDouble( 0 );
  results[ count++ ] += score;
  }
 double prediction = selection.predict( results );
 LOG.debug( "prediction: {}", prediction );
 bufferCall.getOutputCollector().add( bufferCall.getContext().result( prediction ) );
 }
}

代码示例来源：origin: cwensel/cascading

@Override
public Tuple aggregate( FlowProcess flowProcess, TupleEntry args, Tuple context )
 {
 if( context == null )
  return args.getTupleCopy();
 else if( args.getObject( 0 ) == null )
  return context;
 context.set( 0, context.getDouble( 0 ) + args.getDouble( 0 ) );
 return context;
 }

代码示例来源：origin: cwensel/cascading

@Override
public void aggregate( FlowProcess flowProcess, AggregatorCall<Context> aggregatorCall )
 {
 Context context = aggregatorCall.getContext();
 TupleEntry arguments = aggregatorCall.getArguments();
 if( arguments.getObject( 0 ) == null )
  {
  context.nulls++;
  return;
  }
 context.sum += arguments.getDouble( 0 );
 context.count += arguments.getLong( 1 );
 }

代码示例来源：origin: cwensel/cascading

@Override
public Tuple aggregate( FlowProcess flowProcess, TupleEntry args, Tuple context )
 {
 if( context == null )
  context = Tuple.size( 2 );
 if( include == Include.NO_NULLS && args.getObject( 0 ) == null )
  return context;
 context.set( 0, context.getDouble( 0 ) + args.getDouble( 0 ) );
 context.set( 1, context.getLong( 1 ) + 1 );
 return context;
 }

代码示例来源：origin: com.twitter/scalding-parquet

private void writePrimitive(TupleEntry record, PrimitiveType field) {
  switch (field.getPrimitiveTypeName()) {
   case BINARY:
    recordConsumer.addBinary(Binary.fromString(record.getString(field.getName())));
    break;
   case BOOLEAN:
    recordConsumer.addBoolean(record.getBoolean(field.getName()));
    break;
   case INT32:
    recordConsumer.addInteger(record.getInteger(field.getName()));
    break;
   case INT64:
    recordConsumer.addLong(record.getLong(field.getName()));
    break;
   case DOUBLE:
    recordConsumer.addDouble(record.getDouble(field.getName()));
    break;
   case FLOAT:
    recordConsumer.addFloat(record.getFloat(field.getName()));
    break;
   case FIXED_LEN_BYTE_ARRAY:
    throw new UnsupportedOperationException("Fixed len byte array type not implemented");
   case INT96:
    throw new UnsupportedOperationException("Int96 type not implemented");
   default:
    throw new UnsupportedOperationException(field.getName() + " type not implemented");
  }
 }
}

代码示例来源：origin: org.apache.parquet/parquet-cascading3

private void writePrimitive(TupleEntry record, PrimitiveType field) {
  switch (field.getPrimitiveTypeName()) {
   case BINARY:
    recordConsumer.addBinary(Binary.fromString(record.getString(field.getName())));
    break;
   case BOOLEAN:
    recordConsumer.addBoolean(record.getBoolean(field.getName()));
    break;
   case INT32:
    recordConsumer.addInteger(record.getInteger(field.getName()));
    break;
   case INT64:
    recordConsumer.addLong(record.getLong(field.getName()));
    break;
   case DOUBLE:
    recordConsumer.addDouble(record.getDouble(field.getName()));
    break;
   case FLOAT:
    recordConsumer.addFloat(record.getFloat(field.getName()));
    break;
   case FIXED_LEN_BYTE_ARRAY:
    throw new UnsupportedOperationException("Fixed len byte array type not implemented");
   case INT96:
    throw new UnsupportedOperationException("Int96 type not implemented");
   default:
    throw new UnsupportedOperationException(field.getName() + " type not implemented");
  }
 }
}

代码示例来源：origin: com.twitter/parquet-cascading

private void writePrimitive(TupleEntry record, PrimitiveType field) {
  switch (field.getPrimitiveTypeName()) {
   case BINARY:
    recordConsumer.addBinary(Binary.fromString(record.getString(field.getName())));
    break;
   case BOOLEAN:
    recordConsumer.addBoolean(record.getBoolean(field.getName()));
    break;
   case INT32:
    recordConsumer.addInteger(record.getInteger(field.getName()));
    break;
   case INT64:
    recordConsumer.addLong(record.getLong(field.getName()));
    break;
   case DOUBLE:
    recordConsumer.addDouble(record.getDouble(field.getName()));
    break;
   case FLOAT:
    recordConsumer.addFloat(record.getFloat(field.getName()));
    break;
   case FIXED_LEN_BYTE_ARRAY:
    throw new UnsupportedOperationException("Fixed len byte array type not implemented");
   case INT96:
    throw new UnsupportedOperationException("Int96 type not implemented");
   default:
    throw new UnsupportedOperationException(field.getName() + " type not implemented");
  }
 }
}

代码示例来源：origin: com.twitter/scalding-parquet-cascading

private void writePrimitive(TupleEntry record, PrimitiveType field) {
  switch (field.getPrimitiveTypeName()) {
   case BINARY:
    recordConsumer.addBinary(Binary.fromString(record.getString(field.getName())));
    break;
   case BOOLEAN:
    recordConsumer.addBoolean(record.getBoolean(field.getName()));
    break;
   case INT32:
    recordConsumer.addInteger(record.getInteger(field.getName()));
    break;
   case INT64:
    recordConsumer.addLong(record.getLong(field.getName()));
    break;
   case DOUBLE:
    recordConsumer.addDouble(record.getDouble(field.getName()));
    break;
   case FLOAT:
    recordConsumer.addFloat(record.getFloat(field.getName()));
    break;
   case FIXED_LEN_BYTE_ARRAY:
    throw new UnsupportedOperationException("Fixed len byte array type not implemented");
   case INT96:
    throw new UnsupportedOperationException("Int96 type not implemented");
   default:
    throw new UnsupportedOperationException(field.getName() + " type not implemented");
  }
 }
}

代码示例来源：origin: cwensel/cascading

@Test
public void testCoerceCanonicalUnknown()
 {
 Tuple tuple = new Tuple( 1 );
 TupleEntry results = new TupleEntry( Fields.UNKNOWN, tuple );
 assertEquals( 1, results.getObject( 0 ) );
 assertEquals( 1, results.getInteger( 0 ) );
 assertEquals( 1, results.getShort( 0 ) );
 assertEquals( 1L, results.getLong( 0 ) );
 assertEquals( 1.0F, results.getFloat( 0 ) );
 assertEquals( 1.0D, results.getDouble( 0 ) );
 assertEquals( "1", results.getString( 0 ) );
 }

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