I am using cvxpy and since the update to 1.0.6 I get unwanted output when calling GLPK.
import cvxpy as cvx
x = cvx.Variable(2)
p = cvx.Problem(cvx.Minimize(x[0]), [x[0] + x[1] == 1, x[0] - x[1] >= 1])
p.solve(solver = cvx.GLPK)
In IPython3 this creates the output
GLPK Simplex Optimizer, v4.61
2 rows, 2 columns, 4 non-zeros
0: obj = 0.000000000e+00 inf = 2.000e+00 (2)
1: obj = 1.000000000e+00 inf = 0.000e+00 (0)
* 2: obj = 1.000000000e+00 inf = 0.000e+00 (0)
OPTIMAL LP SOLUTION FOUND
Out[5]: 1.0
In 0.4.11 I only got the 1.0 printed and I would like to have back this behaviour.
For other solvers, there is the verbose option, but for GLPK this does not change anything. Both yield the same output.
p.solve(solver = cvx.GLPK, verbose = False)
p.solve(solver = cvx.GLPK, verbose = True)
Any idea, how to stop the output?
PS: I want to use the simplex method. If another solver provides this, that would be a workaround.
