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* whitespace cleanup

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Caner Candan 2011-05-05 17:15:10 +02:00
commit 70e60a50d2
195 changed files with 1763 additions and 1873 deletions
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4
edo/test/t-bounderno.cpp
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@ -1,6 +1,6 @@
/*
The Evolving Distribution Objects framework (EDO) is a template-based,
ANSI-C++ evolutionary computation library which helps you to write your
The Evolving Distribution Objects framework (EDO) is a template-based,
ANSI-C++ evolutionary computation library which helps you to write your
own estimation of distribution algorithms.
This library is free software; you can redistribute it and/or

4
edo/test/t-continue.cpp
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@ -1,6 +1,6 @@
/*
The Evolving Distribution Objects framework (EDO) is a template-based,
ANSI-C++ evolutionary computation library which helps you to write your
The Evolving Distribution Objects framework (EDO) is a template-based,
ANSI-C++ evolutionary computation library which helps you to write your
own estimation of distribution algorithms.
This library is free software; you can redistribute it and/or

4
edo/test/t-edoEstimatorNormalMulti.cpp
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@ -1,6 +1,6 @@
/*
The Evolving Distribution Objects framework (EDO) is a template-based,
ANSI-C++ evolutionary computation library which helps you to write your
The Evolving Distribution Objects framework (EDO) is a template-based,
ANSI-C++ evolutionary computation library which helps you to write your
own estimation of distribution algorithms.
This library is free software; you can redistribute it and/or

4
edo/test/t-mean-distance.cpp
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@ -1,6 +1,6 @@
/*
The Evolving Distribution Objects framework (EDO) is a template-based,
ANSI-C++ evolutionary computation library which helps you to write your
The Evolving Distribution Objects framework (EDO) is a template-based,
ANSI-C++ evolutionary computation library which helps you to write your
own estimation of distribution algorithms.
This library is free software; you can redistribute it and/or

4
edo/test/t-uniform.cpp
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@ -1,6 +1,6 @@
/*
The Evolving Distribution Objects framework (EDO) is a template-based,
ANSI-C++ evolutionary computation library which helps you to write your
The Evolving Distribution Objects framework (EDO) is a template-based,
ANSI-C++ evolutionary computation library which helps you to write your
own estimation of distribution algorithms.
This library is free software; you can redistribute it and/or

12
edo/test/test_cov_parameters.py
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@ -10,9 +10,9 @@ from numpy import arange
if __name__ == '__main__':
for p1 in list(arange(0.1, 1.1, 0.1)):
for p2 in list(arange(-1., 0., 0.1)) + list(arange(0., 1.1, 0.1)):
for p3 in list(arange(0.1, 1.1, 0.1)):
gen = '%d_%.1f_%.1f_%.1f_%.1f' % (PSIZE, MEAN, p1, p2, p3)
cmd = CMD % ( PSIZE, MEAN, p1, p2, p3, gen, gen )
print cmd
system( cmd )
for p2 in list(arange(-1., 0., 0.1)) + list(arange(0., 1.1, 0.1)):
for p3 in list(arange(0.1, 1.1, 0.1)):
gen = '%d_%.1f_%.1f_%.1f_%.1f' % (PSIZE, MEAN, p1, p2, p3)
cmd = CMD % ( PSIZE, MEAN, p1, p2, p3, gen, gen )
print cmd
system( cmd )