Why verbose = 'true' or 'false' giving different result?

[yeasmin62]

Hi,
I am trying to minimize the average square error with OSQP solver.

import osqp
import numpy as np
from scipy import sparse
import math
import json

def get(x, i): 
    return np.array([r[i] for r in x])

data = np.array([(1.0,0,0),(1.0,1,1),(-1.0,1,2),(-1.0,1,3),(-1.0,1,4),(-1.0,1,5),(-1.0,1,6),(-1466.0299682617188,1,0),(-1.0,2,7),(-1.0,2,8),(-1.0,2,9),(-1.0,2,10),(-1.0,2,11),(-1.0,2,12),(-1.0,2,13),(-1.0,2,14),(-4400.369934082031,2,0),(-1.0,2,15),(-1.0,2,16),(-1.0,2,17),(-1.0,2,18),(-1.0,2,19),(-1.0,2,20),(1.0,2,21),(-1.0,2,22),(-1.0,3,23),(-1.0,3,24),(-1.0,3,25),(-1.0,3,26),(-1.0,3,27),(-1.0,3,28),(-1.0,3,29),(-1.0,3,30),(-1.0,3,31),(-1.0,3,32),(-1.0,3,33),(-1.0,3,34),(-1.0,3,35),(-1.0,3,36),(1.0,3,1),(-1.0,3,37),(-4402.829864501953,3,0),(1.0,4,38),(-293.5099792480469,4,0),(-1.0,4,39),(-1.0,5,40),(-1.0,5,41),(-1.0,5,42),(-1.0,5,43),(-1.0,5,44),(-4402.679901123047,5,0),(-1.0,5,45),(-1.0,5,46),(-1.0,5,47),(-1.0,5,48),(1.0,5,38),(-1.0,5,49),(-1.0,5,50),(-1.0,5,51),(-1.0,5,52),(-1.0,5,53),(-1.0,5,54),(-1.0,6,55),(1.0,6,56),(-1.0,6,57),(-1.0,6,58),(-1466.6499633789062,6,0),(-1.0,6,59),(-1.0,6,60),(-1.0,7,61),(-1.0,7,62),(-1.0,7,63),(-1.0,7,64),(-1.0,7,65),(-1.0,7,66),(-1.0,7,67),(-1.0,7,68),(-4401.869842529297,7,0),(-1.0,7,69),(-1.0,7,70),(1.0,7,56),(-1.0,7,71),(-1.0,7,72),(-1.0,7,73),(-1.0,7,74),(-1.0,7,75),(1.0,8,76),(-1.0,8,77),(-1.0,8,78),(-1.0,8,79),(-1466.18994140625,8,0),(-1.0,8,80),(-1.0,8,81),(-1.0,9,82),(-1.0,9,83),(-1.0,9,84),(1.0,9,76),(-1.0,9,85),(-1.0,9,86),(-1.0,9,87),(-1.0,9,88),(-1.0,9,89),(-1.0,9,90),(-1.0,9,91),(-4400.999908447266,9,0),(-1.0,9,92),(-1.0,9,93),(-1.0,9,94),(-1.0,9,95),(-1.0,9,96),(-1.0,10,97),(-1.0,10,98),(-1.0,10,99),(-1.0,10,100),(-1.0,10,101),(-1466.4899291992188,10,0),(1.0,10,21),])

P = sparse.csc_matrix(sparse.diags([0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,])
)
q = np.array(np.zeros(102))
A = sparse.csc_matrix(sparse.coo_matrix((get(data,0),(get(data,1),get(data,2))),shape=(11,102)))
c = np.hstack([np.ones(1),np.zeros(11-1)])

prob = osqp.OSQP()
prob.setup(P, q, A, c, c,  verbose=False)
res = prob.solve()
print(json.dumps({"solution": res.x.tolist(), "objective": res.info.obj_val}))

when verbose = False here, I am getting the following results
{"solution": [null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null], "objective": Infinity}

But If I set verbose = True, I get the following results
solution": [1.0000000002797227, 2200.229942815385, 146.83999481223697, 146.83999481223697, 146.83999481223697, 146.83999481223697, 146.83999481223697, -146.6940002443661, -146.6940002443661, -146.6940002443661, -146.6940002443661, -146.6940002443661, -146.6940002443661, -146.6940002443661, -146.6940002443661, -146.6940002443661, -146.6940002443661, -146.6940002443661, -146.6940002443661, -146.6940002443661, -146.6940002443661, 2199.9599309137034, -146.6940002443661, -146.83999481223717, -146.83999481223717, -146.83999481223717, -146.83999481223717, -146.83999481223717, -146.83999481223717, -146.83999481223717, -146.83999481223717, -146.83999481223717, -146.83999481223717, -146.83999481223717, -146.83999481223717, -146.83999481223717, -146.83999481223717, -146.83999481223717, 550.3330994572764, 256.82312011753334, -256.82312011753413, -256.82312011753413, -256.82312011753413, -256.82312011753413, -256.82312011753413, -256.82312011753413, -256.82312011753413, -256.82312011753413, -256.82312011753413, -256.82312011753413, -256.82312011753413, -256.82312011753413, -256.82312011753413, -256.82312011753413, -256.82312011753413, 146.7609939577447, 2200.454933660332, 146.7609939577447, 146.7609939577447, 146.7609939577447, 146.7609939577447, -146.7609939577451, -146.7609939577451, -146.7609939577451, -146.7609939577451, -146.7609939577451, -146.7609939577451, -146.7609939577451, -146.7609939577451, -146.7609939577451, -146.7609939577451, -146.7609939577451, -146.7609939577451, -146.7609939577451, -146.7609939577451, -146.7609939577451, 2199.892439853942, 146.74049761815013, 146.74049761815013, 146.74049761815013, 146.74049761815013, 146.74049761815013, -146.74049761815039, -146.74049761815039, -146.74049761815039, -146.74049761815039, -146.74049761815039, -146.74049761815039, -146.74049761815039, -146.74049761815039, -146.74049761815039, -146.74049761815039, -146.74049761815039, -146.74049761815039, -146.74049761815039, -146.74049761815039, -146.74049761815039, 146.6940002443659, 146.6940002443659, 146.6940002443659, 146.6940002443659, 146.6940002443659], "objective": 1389191.6879436392}

Why true or false is giving me different output?