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https://issues.apache.org/jira/browse/MATH-1559?focusedWorklogId=505466&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-505466
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ASF GitHub Bot logged work on MATH-1559:
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Author: ASF GitHub Bot
Created on: 28/Oct/20 00:01
Start Date: 28/Oct/20 00:01
Worklog Time Spent: 10m
Work Description: tongxin97 opened a new pull request #162:
URL: https://github.com/apache/commons-math/pull/162
For detailed description of the issue, see:
https://issues.apache.org/jira/browse/MATH-1559
If we just want to change the test so that it will always pass, this PR
achieves it by setting a small epsilon (1e-15) in `assertEquals(0.5,
distribution.probability(2), 1e-15)`. Otherwise to fix the issue, the source
code, in particular `MathArrays.normalizeArray()` needs change.
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Issue Time Tracking
-------------------
Worklog Id: (was: 505466)
Remaining Estimate: 0h
Time Spent: 10m
> testCreateFromDoubles can fail
> ------------------------------
>
> Key: MATH-1559
> URL: https://issues.apache.org/jira/browse/MATH-1559
> Project: Commons Math
> Issue Type: Bug
> Affects Versions: 3.6.1
> Reporter: XinT
> Priority: Minor
> Labels: pull-request-available, test
> Time Spent: 10m
> Remaining Estimate: 0h
>
> EnumeratedRealDistributionTest.testCreateFromDoubles() can sometimes fail due
> to a precision problem. More precisely, sometimes distribution.probability(2)
> equals to 0.5000000000000001, and the assertion assertEquals(0.5,
> distribution.probability(2), 0) will fail.
> The deeper reason why this happens is that the call to
> MathArrays.normalizeArray() in the constructor of EnumeratedDistribution
> (line 105) can mess up the probability for value 2 by changing it from
> exactly 0.5 to 0.5000000000000001.
>
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