Package org.pentaho.reporting.libraries.formula.operators

Class PowerOperator

java.lang.Object

org.pentaho.reporting.libraries.formula.operators.AbstractNumericOperator

org.pentaho.reporting.libraries.formula.operators.PowerOperator

All Implemented Interfaces:

java.io.Serializable, InfixOperator

public class PowerOperator
extends AbstractNumericOperator

This has to be implemented manually if we want to support arbitary precision. Damn, do I have to implement the logarithm computation as well? For now: Ignore that and use doubles!

Author:

Thomas Morgner

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor	Description
PowerOperator()

Method Summary

Modifier and Type	Method	Description
int	getLevel()
boolean	isAssociative()	Defines, whether the operation is associative.
boolean	isLeftOperation()	Defines the bind-direction of the operator.
java.lang.String	toString()

Methods inherited from class org.pentaho.reporting.libraries.formula.operators.AbstractNumericOperator

evaluate

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

PowerOperator

public PowerOperator()

Method Detail

getLevel

public int getLevel()

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object

isLeftOperation

public boolean isLeftOperation()

Description copied from interface: InfixOperator

Defines the bind-direction of the operator. That direction defines, in which direction a sequence of equal operators is resolved.

Returns:

true, if the operation is left-binding, false if right-binding

isAssociative

public boolean isAssociative()

Defines, whether the operation is associative. For associative operations, the evaluation order does not matter, if the operation appears more than once in an expression, and therefore we can optimize them a lot better than non-associative operations (ie. merge constant parts and precompute them once).

Returns:

true, if the operation is associative, false otherwise