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import pymprog # Import the module
# index and data
cid, rid = range(3), range(3)
c = (10.0, 6.0, 4.0)
mat = [ (1.0, 1.0, 1.0),
(10.0, 4.0, 5.0),
(2.0, 2.0, 6.0)]
b = (100.0, 600.0, 300.0)
# Create empty problem instance
p = pymprog.model('basic example')
#create variables:
x = p.var('X', 3) # x: dict with keys in 'cid'
p.maximize(sum(c[i]*x[i] for i in cid), 'myobj')
p.verbose(True)
r=p.st(
0 <= sum(x[j]*mat[i][j] for j in cid) <= b[i]
for i in rid)
#solve and report
p.solve()
print('Z = %g;' % p.vobj()) # obj value
# Print struct variable names and primal values
print(';\n'.join('%s = %g {dual: %g}' % (
x[i].name, x[i].primal, x[i].dual)
for i in cid))
print(';\n'.join('%s = %g {dual: %g}' % (
r[i].name, r[i].primal, r[i].dual)
for i in rid))
p.sensitivity()
p.end()