8000 Fix: a and c matrices must have at least one column in td04ad_r by roryyorke · Pull Request #5 · python-control/Slycot · GitHub
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Fix: a and c matrices must have at least one column in td04ad_r #5

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Merged
merged 1 commit into from
Jan 26, 2017
Merged

Fix: a and c matrices must have at least one column in td04ad_r #5

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7 changes: 5 additions & 2 deletions slycot/src/transform.pyf
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Original file line number Diff line number Diff line change
@@ -1,3 +1,6 @@
! -*- f90 -*-
! Note: the context of this file is case sensitive.

subroutine tb01id(job,n,m,p,maxred,a,lda,b,ldb,c,ldc,scale,info) ! in TB01ID.f
character intent(in) :: job = 'A'
integer required,check(n>0) :: n
Expand Down Expand Up @@ -227,11 +230,11 @@ subroutine td04ad_r(rowcol,m,p,index_bn,dcoeff,lddcoe,ucoeff,lduco1,lduco2,nr,a,
integer intent(hide),depend(ucoeff) :: lduco1=shape(ucoeff,0)
integer intent(hide),depend(ucoeff) :: lduco2=shape(ucoeff,1)
integer intent(in,out) :: nr !=sum(index_bn)
double precision intent(out),dimension(max(1,nr),nr),depend(nr) :: a
double precision intent(out),dimension(max(1,nr),max(1,nr)),depend(nr) :: a
integer intent(hide),depend(a) :: lda = shape(a,0)
double precision intent(out),dimension(max(1,nr),max(m,p)),depend(nr,m,p) :: b
integer intent(hide),depend(b) :: ldb = shape(b,0)
double precision intent(out),dimension(max(1,max(m,p)),nr),depend(nr,m,p) :: c
double precision intent(out),dimension(max(1,max(m,p)),max(1,nr)),depend(nr,m,p) :: c
integer intent(hide),depend(c) :: ldc = shape(c,0)
double precision intent(out),dimension(max(1,p),m),depend(p,m) :: d
integer intent(hide),depend(d) :: ldd = shape(d,0)
Expand Down
28 changes: 25 additions & 3 deletions slycot/tests/test.py
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
import unittest
from .. import synthesis
from .. import math

from slycot import synthesis
from slycot import math
from slycot import transform

class Test(unittest.TestCase):

Expand Down Expand Up @@ -48,3 +48,25 @@ def test_sb02ad(self):
self.assertAlmostEqual(Ac[0][1], -1)
self.assertAlmostEqual(Ac[1][0], 1)
self.assertAlmostEqual(Ac[1][1], -3)

def test_td04ad_static(self):
"""Regression: td04ad (TFM -> SS transformation) for static TFM"""
import numpy as np
from itertools import product
# 'C' fails on static TFs
for nout,nin,rc in product(range(1,6),range(1,6),['R']):
num = np.reshape(np.arange(nout*nin),(nout,nin,1))
if rc == 'R':
den = np.reshape(np.arange(1,1+nout),(nout,1))
else:
den = np.reshape(np.arange(1,1+nin),(nin,1))
index = np.tile([0],den.shape[0])
nr,a,b,c,d = transform.td04ad(rc,nin,nout,index,den,num)


def suite():
return unittest.TestLoader().loadTestsFromTestCase(TestConvert)


if __name__ == "__main__":
unittest.main()
0