Dear GLPK users,
There is a new version of the python-glpk interface available:
http://www.dcc.fc.up.pt/~jpp/code/python-glpk/
The integration between Python and GnuMathProg is now much deeper,
allowing to define/modify data in Python, as in the example below
(available in the python-glpk's distribution as "diet.py").
Best regards,
jpp
--
from glpk import *
# create an LP as an instance of class "glpk",
# based on the model "diet.mod" (coming in glpk's "examples")
problem = glpk("models/diet.mod")
# solve
problem.solve()
print "\n\nsolution:", problem.solution()
# define/modify problem data:
# "F" and "a" are, respectively, a "set" and a "param" in "diet.mod";
# now, they can be accessed in Python as members of the "glpk" instance
problem.F += ['Bacalhau'] # add a new food
problem.a['Bacalhau','Calorie'] = 87.3 # nutrients
problem.a['Bacalhau','Protein'] = 98.7
problem.a['Bacalhau','Calcium'] = 17.3
problem.a['Bacalhau','Iron'] = 12.3
problem.a['Bacalhau','Vitamin-A'] = 12.3
# update and solve
problem.update()
problem.solve()
print "\n\nsolution:", problem.solution()
# one more update
problem.F.remove('Bacalhau') # remove food
for key in problem.a.keys():
if 'Bacalhau' in key:
del problem.a[key]
# update and solve
problem.update()
problem.solve()
print "\n\nsolution:", problem.solution()
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