/usr/include/openturns/swig/statistics_module.i is in libopenturns-dev 0.15-2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 | // SWIG file statistics_module.i
// Author : $LastChangedBy: schueller $
// Date : $LastChangedDate: 2011-07-29 08:12:01 +0200 (Fri, 29 Jul 2011) $
// Id : $Id: statistics_module.i 2051 2011-07-29 06:12:01Z schueller $
%module(package="openturns", docstring="Statistical classes.") statistics
%feature("autodoc","1");
%pythoncode %{
def getCorrelationMatrixFromMap(Vars,Map):
"""
getCorrelationMatrixFromMap(Vars,Map) transform a two-dimension dict whose keys
are listed in Vars into a CorrelationMatrix. The values are numerical.
No need to define all the elements in the map since CorrelationMatrix is symmetric.
Example:
Vars=['X','Y','Z']
Map={}
Map['X']={}
Map['X']['Y']= 0.1
Map['X']['Z']= 0.7
Map['Y']={}
Map['Y']['Z']= 0.8
R = getCorrelationMatrixFromMap(Vars,Map)
"""
Corr = CorrelationMatrix( len(Vars) )
i=0
for first in Vars:
j=0
for second in Vars:
if Map.has_key(first) and Map[first].has_key(second):
Corr[i,j] = Map[first][second]
j+=1
i+=1
return Corr
%}
%{
#include "OTconfig.hxx"
#include "OTCommon.hxx"
#include "OTType.hxx"
#include "OTStat.hxx"
%}
%include typemaps.i
%include OTtypes.i
%include OTexceptions.i
%include std_vector.i
/* Base/Common */
%import common_module.i
/* Wrapper */
%import wrapper_module.i
%import BaseWrapperTemplateDefs.i
/* Base/Type */
%import typ_module.i
%import BaseTypTemplateDefs.i
/* Base/Stat */
%include CovarianceMatrix.i
%include CorrelationMatrix.i
%include IdentityMatrix.i
%include NumericalSample.i
%include HistoryStrategyImplementation.i
%include HistoryStrategy.i
%include Compact.i
%include Full.i
%include Last.i
%include Null.i
%include ConfidenceInterval.i
%include LinearModel.i
%include LinearModelFactory.i
%include TestResult.i
%include RandomGenerator.i
%include LowDiscrepancySequenceImplementation.i
%include LowDiscrepancySequence.i
%include SobolSequence.i
%include FaureSequence.i
%include HaltonSequence.i
%include InverseHaltonSequence.i
%include SobolIndicesParameters.i
%include SobolIndicesResult.i
%include CorrelationAnalysis.i
%include SensitivityAnalysis.i
/* At last we include template definitions */
%include BaseStatisticsTemplateDefs.i
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