Hi Troels,

I would recommend creating a new system test for this code.  This part
is not tested in the test suite, hence it is a weak point in relax
that will probably fail again with future code changes.  So having a
system test where hardcoded values are checked will ensure that this
part of relax is rock solid.

Cheers,

Edward



On 30 April 2014 10:19, Edward d'Auvergne <[email protected]> wrote:
> Ah, that was a remnant of the parameter averaging to parameter median
> change for the clustering
> (http://thread.gmane.org/gmane.science.nmr.relax.devel/4647/focus=4648).
>  Could you retroactively create a bug report for this?  That would be
> useful for the release notes.
>
> Cheers,
>
> Edward
>
>
>
> On 29 April 2014 19:56,  <[email protected]> wrote:
>> Author: tlinnet
>> Date: Tue Apr 29 19:56:12 2014
>> New Revision: 22883
>>
>> URL: http://svn.gna.org/viewcvs/relax?rev=22883&view=rev
>> Log:
>> Fix for the relax_disp.parameter_copy function.
>>
>> The median of the values was not performed properly, since 0.0 was already 
>> in the starting list of values.
>>
>> Modified:
>>     trunk/specific_analyses/relax_disp/parameters.py
>>
>> Modified: trunk/specific_analyses/relax_disp/parameters.py
>> URL: 
>> http://svn.gna.org/viewcvs/relax/trunk/specific_analyses/relax_disp/parameters.py?rev=22883&r1=22882&r2=22883&view=diff
>> ==============================================================================
>> --- trunk/specific_analyses/relax_disp/parameters.py    (original)
>> +++ trunk/specific_analyses/relax_disp/parameters.py    Tue Apr 29 19:56:12 
>> 2014
>> @@ -162,17 +162,17 @@
>>      for spin_ids in loop_cluster():
>>          # Initialise some variables.
>>          model = None
>> -        pA = [0.0]
>> -        pB = [0.0]
>> -        pC = [0.0]
>> -        kex = [0.0]
>> -        kex_AB = [0.0]
>> -        kex_AC = [0.0]
>> -        kex_BC = [0.0]
>> -        k_AB = [0.0]
>> -        kB = [0.0]
>> -        kC = [0.0]
>> -        tex = [0.0]
>> +        pA = []
>> +        pB = []
>> +        pC = []
>> +        kex = []
>> +        kex_AB = []
>> +        kex_AC = []
>> +        kex_BC = []
>> +        k_AB = []
>> +        kB = []
>> +        kC = []
>> +        tex = []
>>          count = 0
>>          spins_from = []
>>          spins_to = []
>> @@ -240,38 +240,38 @@
>>
>>          # Take median of parameters.
>>          if len(pA) > 1:
>> -            pA = [median(pA)]
>> -            print("Median pA value:  %.15f" % pA[0])
>> +            pA = median(pA)
>> +            print("Median pA value:  %.15f" % pA)
>>          if len(pB) > 1:
>> -            pB = [median(pB)]
>> -            print("Median pA value:  %.15f" % pA[0])
>> +            pB = median(pB)
>> +            print("Median pB value:  %.15f" % pB)
>>          if len(pC) > 1:
>> -            pC = [median(pC)]
>> -            print("Median pC value:  %.15f" % pC[0])
>> +            pC = median(pC)
>> +            print("Median pC value:  %.15f" % pC)
>>          if len(kex) > 1:
>> -            kex = [median(kex)]
>> -            print("Median kex value: %.15f" % kex[0])
>> +            kex = median(kex)
>> +            print("Median kex value: %.15f" % kex)
>>          if len(kex_AB) > 1:
>> -            kex_AB = [median(kex_AB)]
>> -            print("Median k_AB value: %.15f" % kex_AB[0])
>> +            kex_AB = median(kex_AB)
>> +            print("Median k_AB value: %.15f" % kex_AB)
>>          if len(kex_AC) > 1:
>> -            kex_AC = [median(kex_AC)]
>> -            print("Median k_AC value: %.15f" % kex_AC[0])
>> +            kex_AC = median(kex_AC)
>> +            print("Median k_AC value: %.15f" % kex_AC)
>>          if len(kex_BC) > 1:
>> -            kex_BC = [median(kex_BC)]
>> -            print("Median k_BC value: %.15f" % kex_BC[0])
>> +            kex_BC = median(kex_BC)
>> +            print("Median k_BC value: %.15f" % kex_BC)
>>          if len(k_AB) > 1:
>> -            k_AB = [median(k_AB)]
>> -            print("Median k_AB value: %.15f" % k_AB[0])
>> +            k_AB = median(k_AB)
>> +            print("Median k_AB value: %.15f" % k_AB)
>>          if len(kB) > 1:
>> -            kB = [median(kB)]
>> -            print("Median kB value:  %.15f" % kB[0])
>> +            kB = median(kB)
>> +            print("Median kB value:  %.15f" % kB)
>>          if len(kC) > 1:
>> -            kC = [median(kC)]
>> -            print("Median kC value:  %.15f" % kC[0])
>> +            kC = median(kC)
>> +            print("Median kC value:  %.15f" % kC)
>>          if len(tex) > 1:
>> -            tex = [median(tex)]
>> -            print("Median tex value: %.15f" % tex[0])
>> +            tex = median(tex)
>> +            print("Median tex value: %.15f" % tex)
>>
>>          # Loop over the spins, this time copying the parameters.
>>          for i in range(len(spin_ids)):
>> @@ -293,28 +293,28 @@
>>
>>              # The median parameters.
>>              if 'pB' in spin_from.params and 'pC' not in spin_from.params:
>> -                spin_to.pA = pA[0]
>> -                spin_to.pB = pB[0]
>> -                spin_to.pC = 1.0 - pA[0] - pB[0]
>> +                spin_to.pA = pA
>> +                spin_to.pB = pB
>> +                spin_to.pC = 1.0 - pA - pB
>>              elif 'pA' in spin_from.params:
>> -                spin_to.pA = pA[0]
>> -                spin_to.pB = 1.0 - pA[0]
>> +                spin_to.pA = pA
>> +                spin_to.pB = 1.0 - pA
>>              if 'kex' in spin_from.params:
>> -                spin_to.kex = kex[0]
>> +                spin_to.kex = kex
>>              if 'kex_AB' in spin_from.params:
>> -                spin_to.kex_AB = kex_AB[0]
>> +                spin_to.kex_AB = kex_AB
>>              if 'kex_AC' in spin_from.params:
>> -                spin_to.kex_AC = kex_AC[0]
>> +                spin_to.kex_AC = kex_AC
>>              if 'kex_BC' in spin_from.params:
>> -                spin_to.kex_BC = kex_BC[0]
>> +                spin_to.kex_BC = kex_BC
>>              if 'k_AB' in spin_from.params:
>> -                spin_to.k_AB = k_AB[0]
>> +                spin_to.k_AB = k_AB
>>              if 'kB' in spin_from.params:
>> -                spin_to.kB = kB[0]
>> +                spin_to.kB = kB
>>              if 'kC' in spin_from.params:
>> -                spin_to.kC = kC[0]
>> +                spin_to.kC = kC
>>              if 'tex' in spin_from.params:
>> -                spin_to.tex = tex[0]
>> +                spin_to.tex = tex
>>
>>              # All other spin specific parameters.
>>              for param in spin_from.params:
>>
>>
>> _______________________________________________
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