Calling a matlab function with python subprocess.Popen
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Hi,
I have a python code which runs a matlab function sussum(a,nx,ny) in the background with subprocess.Popen. I am not able to get it working. Because I'm unable to pass the input arguments to matlab correctly. Here is the python code:
#!/usr/bin/env python
import matlab.engine
import scipy.io as sio
import numpy as np
import subprocess as sb
nproc = 5
input = sio.loadmat('sus_py.mat')
totq = input['totq']
nx,ny = input['nx'],input['ny']
nq = totq+1
nx,ny = matlab.int32(nx.tolist()) , matlab.int32(ny.tolist())
iq = range(1,nq)
gp = len(iq)/nproc
list = [iq[j:j+nproc] for j in range(0,len(iq),nproc)]
for g in range(0,len(list)):
i = len(list[g])
p = []
for n in range(0,i):
a = matlab.int32(list[g][n])
fun = '-r "sussum(a,nx,ny); exit" '
lmb = ['/usr/local/bin/matlab','-nodesktop','-nosplash','-nodisplay','-nojvm',fun]
p.append(sb.Popen(lmb))
for q in p:
q.wait()
The python script executes in the command terminal of a cluster network, until it spits out the error message: Undefined function or variable 'a'.
I am sure that the matlab function sussum(a,nx,ny) works fine because I have tested it using Python-Matlab API as matlab.engine.start_matlab().sussum(a,nx,ny) and it gave the desired outputs. Any help in getting the python code running with subprocess.Popen() will be highly appreciated.
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