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from pymprog import model 

c = (10, 6, 4)

A = [ ( 1, 1, 1),     

      ( 9, 4, 5),   

      ( 2, 2, 6) ]   

b = (10, 60, 30)

p = model('basic')  

p.verbose(True)

x = p.var('x', 3) 

p.maximize(sum(c[i]*x[i] for i in range(3)))

for i in range(3):

  sum(A[i][j]*x[j] for j in range(3)) <= b[i] 

p.solve() # solve the model

p.sensitivity() # sensitivity report

p.end()