Package org.apache.poi.ss.formula.eval

Class UnaryMinusEval

java.lang.Object

org.apache.poi.ss.formula.functions.Fixed1ArgFunction

org.apache.poi.ss.formula.eval.UnaryMinusEval

All Implemented Interfaces:

ArrayFunction, Function, Function1Arg

public final class UnaryMinusEval
extends Fixed1ArgFunction
implements ArrayFunction

Field Summary

Fields

Modifier and Type	Field	Description
static Function	instance

Method Summary

Modifier and Type	Method	Description
ValueEval	evaluate(int srcRowIndex, int srcColumnIndex, ValueEval arg0)	see Function.evaluate(ValueEval[], int, int)
ValueEval	evaluateArray(ValueEval[] args, int srcRowIndex, int srcColumnIndex)

Methods inherited from class org.apache.poi.ss.formula.functions.Fixed1ArgFunction

evaluate, evaluate

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface org.apache.poi.ss.formula.functions.ArrayFunction

evaluateOneArrayArg, evaluateTwoArrayArgs

Field Detail

instance

public static final Function instance

Method Detail

evaluate

public ValueEval evaluate(int srcRowIndex,
                          int srcColumnIndex,
                          ValueEval arg0)

Description copied from interface: Function1Arg

see Function.evaluate(ValueEval[], int, int)

Specified by:

evaluate in interface Function1Arg

evaluateArray

public ValueEval evaluateArray(ValueEval[] args,
                               int srcRowIndex,
                               int srcColumnIndex)

Specified by:

evaluateArray in interface ArrayFunction

Parameters:

args - the evaluated function arguments. Empty values are represented with BlankEval or MissingArgEval, never null.

srcRowIndex - row index of the cell containing the formula under evaluation

srcColumnIndex - column index of the cell containing the formula under evaluation

Returns:

The evaluated result, possibly an ErrorEval, never null. Note - Excel uses the error code #NUM! instead of IEEE NaN, so when numeric functions evaluate to Double.NaN be sure to translate the result to ErrorEval.NUM_ERROR.