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https://issues.apache.org/jira/browse/CLIMATE-798?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15310603#comment-15310603
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Ibrahim Jarif commented on CLIMATE-798:
---------------------------------------

[~lewismc] and [~huikyole] Is this issue valid or I'm just missing something?

> Redundant code in evaluations.py
> --------------------------------
>
>                 Key: CLIMATE-798
>                 URL: https://issues.apache.org/jira/browse/CLIMATE-798
>             Project: Apache Open Climate Workbench
>          Issue Type: Bug
>            Reporter: Ibrahim Jarif
>            Assignee: Ibrahim Jarif
>            Priority: Minor
>
> The following 4 code sections in *evaluation.py* file are redundant and will 
> never execute under any working condition.
> 1. *convert_evaluation_result* function *lines 360 - 365*
> {code}
> if evaluation_result[0][imetric].ndim !=0:
>                 result_shape = list(evaluation_result[0][imetric].shape)
>                 result_shape.insert(0, nmodel)
>                 result = ma.zeros(result_shape)
>                 for imodel in range(nmodel):
>                     result[imodel,:] = evaluation_result[imodel][imetric]
> {code}
> The ndim of any possible index of *evaluation_result* array will always be 
> *greater than zero* because this function is only called by 
> *_run_subregion_evaluation* function (line 273) which appends an *[] element* 
> (line 278){code}results.append([])
> {code} to the *results* array (the result array is the evaluation_result 
> array). So the ndim value of all the indexes of result array *becomes greater 
> than zero* ( the ndim value of an empty array i.e array = [[]] is also 1).
> So the above lines are never executed. Hence they should be removed.
> The next 3 points have same explanation as 1.
> 2. *convert_evaluation_result* function *lines 381 - 386*.
> {code}
> if evaluation_result[0][imetric][isubregion].ndim !=0:
>                     result_shape = 
> list(evaluation_result[0][imetric][isubregion].shape)
>                     result_shape.insert(0, nmodel)
>                     result = ma.zeros(result_shape)
>                     for imodel in range(nmodel):
>                         result[imodel,:] = 
> evaluation_result[imodel][imetric][isubregion]
> {code}
> 3.*convert_unary_evaluation_result* function *lines 401 - 406*
> {code}
> if evaluation_result[imetric][0].ndim !=0:
>                 result_shape = list(evaluation_result[imetric][0].shape)
>                 result_shape.insert(0, nmodel)
>                 result = ma.zeros(result_shape)
>                 for imodel in range(nmodel):
>                     result[imodel,:] = evaluation_result[imet
> {code}
> 4.*convert_unary_evaluation_result* function *lines 422 - 427*
> {code}
> if evaluation_result[imetric][isubregion][0].ndim !=0:
>                     result_shape = 
> list(evaluation_result[imetric][isubregion][0].shape)
>                     result_shape.insert(0, nmodel)
>                     result = ma.zeros(result_shape)
>                     for imodel in range(nmodel):
>                         result[imodel,:] = 
> evaluation_result[imetric][isubregion][imodel]
> {code}



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