def checkStoichiometryMatrix(testId):
# Stoichiometry matrix
print string.ljust("Check " + testId, rpadding),
errorFlag = False
m = rrPython.getNumberOfFloatingSpecies()
n = rrPython.getNumberOfReactions()
st = rrPython.getStoichiometryMatrix()
for i in range(0, m):
line = readLine()
words = line.split()
for j in range(0, n):
if expectApproximately(float(words[j]), st[i, j], 1E-6) == False:
errorFlag = True
break
print passMsg(errorFlag)
def checkStoichiometryMatrix(testId):
# Stoichiometry matrix
print string.ljust ("Check " + testId, rpadding),
errorFlag = False
m = rrPython.getNumberOfFloatingSpecies()
n = rrPython.getNumberOfReactions();
st = rrPython.getStoichiometryMatrix()
for i in range(0,m):
line = readLine ()
words = line.split()
for j in range(0,n):
if expectApproximately(float (words[j]), st[i,j], 1E-6) == False:
errorFlag = True
break
print passMsg (errorFlag)
import rrPython
import os
import csv
os.chdir('C:\\RoadRunner\\bin')
function = 'getStoichiometryMatrix'
rrPython.loadSBMLFromFile('C:\\RoadRunner\\Models\\feedback.xml')
try:
matrix = rrPython.getStoichiometryMatrix()
if str(matrix) is not False:
result = 'True'
else:
result = 'False'
except:
result = 'False'
PythonTestResults = open('C:\\RoadRunner\\PythonTestResults.csv', 'a')
writer = csv.writer(PythonTestResults)
writevar = function + '=' + result
writer.writerow([writevar])
PythonTestResults.close()
import rrPython
modelPath = ('C:\\RoadRunner\\Models\\feedback.xml')
rrPython.loadSBMLFromFile(modelPath)
matrix = rrPython.getStoichiometryMatrix()
print matrix
