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From "Benoit de Rancourt (JIRA)" <j...@apache.org>
Subject [jira] [Comment Edited] (MATH-805) Percentile calculation is very slow when input data are constants
Date Wed, 18 Jul 2012 08:43:34 GMT
```
[ https://issues.apache.org/jira/browse/MATH-805?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13416943#comment-13416943
]

Benoit de Rancourt edited comment on MATH-805 at 7/18/12 8:42 AM:
------------------------------------------------------------------

Hello,

Here is a simple test case :

{code:title=testPercentile.java|borderStyle=solid}
/**
* Test the Percentile calculation
*/
public static void testPercentile() {

final double CONST_NUMBER = 18.;
final double PERCENT = 5.;
final int DISTRIBUTION_SIZE = (int) 1e5;

double[] distribution = new double[DISTRIBUTION_SIZE];
Percentile percentile = new Percentile(PERCENT);
Random random = new Random(System.nanoTime());

// filling the array with random number
for (int i = 0; i < distribution.length; i++) {
distribution[i] = random.nextDouble() * 100.;
}

System.out.println("Start the calculation with random array");
long begin = System.currentTimeMillis();
double result = percentile.evaluate(distribution);
long end = System.currentTimeMillis();
System.out.println("duration : " + (end - begin) + "ms");
System.out.println("result : " + result);

// filling the array with a constant number
for (int i = 0; i < distribution.length; i++) {
distribution[i] = CONST_NUMBER;
}

System.out.println("Start the calculation with constant array");
begin = System.currentTimeMillis();
result = percentile.evaluate(distribution);
end = System.currentTimeMillis();
System.out.println("duration : " + (end - begin) + "ms");
System.out.println("result : " + result);
}
{code}

Thanks,
Benoit.

was (Author: teraben):
Hello,

Here is a simple test case :

/**
* Test the Percentile calculation
*/
public static void testQuantile() {

final double CONST_NUMBER = 18.;
final double PERCENT = 5.;
final int DISTRIBUTION_SIZE = (int) 1e5;

double[] distribution = new double[DISTRIBUTION_SIZE];
Percentile percentile = new Percentile(PERCENT);
Random random = new Random(System.nanoTime());

// filling the array with random number
for (int i = 0; i < distribution.length; i++) {
distribution[i] = random.nextDouble() * 100.;
}

System.out.println("Start the calculation with random array");
long begin = System.currentTimeMillis();
double result = percentile.evaluate(distribution);
long end = System.currentTimeMillis();
System.out.println("duration : " + (end - begin) + "ms");
System.out.println("result : " + result);

// filling the array with a constant number
for (int i = 0; i < distribution.length; i++) {
distribution[i] = CONST_NUMBER;
}

System.out.println("Start the calculation with constant array");
begin = System.currentTimeMillis();
result = percentile.evaluate(distribution);
end = System.currentTimeMillis();
System.out.println("duration : " + (end - begin) + "ms");
System.out.println("result : " + result);
}

Thanks,
Benoit.

> Percentile calculation is very slow when input data are constants
> -----------------------------------------------------------------
>
>                 Key: MATH-805
>                 URL: https://issues.apache.org/jira/browse/MATH-805
>             Project: Commons Math
>          Issue Type: Improvement
>    Affects Versions: 3.0
>            Reporter: Benoit de Rancourt
>            Priority: Minor
>              Labels: performance, test
>
> I use the Percentile class to calculate quantile on a big array (10^6 entries). When
I have to test the performance of my code, I notice that the calculation of quantile is at
least 100x slower when my data are constants (10^6 of the same nomber). Maybe the Percentile
calculation can be improved for this special case.

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