New test failures with 2.1.4 #43
Description
Hey @bodono, thanks so much for the updates in 618962c and the release of 2.1.4!
Unfortunately, there seem to be a couple of new errors (also in the CI here, which really should upgrade its python version though, see #42) - see this CI run of conda-forge/scs-feedstock#21.
One aspect is that the determining factor in https://github.com/bodono/scs-python/blob/master/test/test_solve_random_cone_prob.py is whether import _scs_gpu succeeds - as it turns out, this does succeed even without a GPU, so the test suite for the GPU-enabled library ends up failing in conda-forge CI. Note this is not so terrible, I could skip those tests for GPU builds, but perhaps it would be still nice to have more robust runtime-detection of GPU-hardware.
Still even though the following tests are run with gpu=True on a machine without actual GPU hardware, the errors actually don't look that they're related to that (AFAICS, basically hiding ERROR_CUDA: no CUDA-capable device is detected but still producing results - likely garbage?):
=========================== short test summary info ============================
FAILED test/test_solve_random_cone_prob.py::test_solve_feasible[True-True] - ...
FAILED test/test_solve_random_cone_prob.py::test_solve_infeasible[True-True]
FAILED test/test_solve_random_cone_prob.py::test_solve_unbounded[True-True]
============= 3 failed, 24 passed, 3 warnings in 69.41s (0:01:09) ==============
Details of test-suite failures on linux (GPU enabled lib running on machine with no GPU)
=================================== FAILURES ===================================
________________________ test_solve_feasible[True-True] ________________________
use_indirect = True, gpu = True
@pytest.mark.parametrize('use_indirect,gpu', flags)
def test_solve_feasible(use_indirect, gpu):
data, p_star = tools.gen_feasible(K, n=m // 3, density=0.1)
sol = scs.solve(data, K, use_indirect=use_indirect, gpu=gpu, **params)
x = sol['x']
y = sol['y']
s = sol['s']
> np.testing.assert_almost_equal(np.dot(data['c'], x), p_star, decimal=3)
E AssertionError:
E Arrays are not almost equal to 3 decimals
E ACTUAL: nan
E DESIRED: -3.3213532711629523
test/test_solve_random_cone_prob.py:55: AssertionError
----------------------------- Captured stdout call -----------------------------
m = 185
n = 61
max_iters = 5000
verbose = 1
normalize = 1
warm_start = 0
acceleration_lookback = 10
eps = 0.000010
alpha = 1.500000
rho_x = 0.001000
cg_rate = 2.000000
scale = 5.000000
write_data_filename = (null)
num zeros = 10
num LP = 15
num SOCs = 4
soc array:
5
10
0
1
num SDCs = 6
sdc array:
3
4
0
0
1
10
num ep = 10
num ed = 10
num PCs = 4
pow array:
-0.250000
0.500000
0.750000
-0.330000
----------------------------------------------------------------------------
SCS v2.1.4 - Splitting Conic Solver
(c) Brendan O'Donoghue, Stanford University, 2012
----------------------------------------------------------------------------
Lin-sys: sparse-indirect GPU, nnz in A = 1128, CG tol ~ 1/iter^(2.00)
eps = 1.00e-05, alpha = 1.50, max_iters = 5000, normalize = 1, scale = 5.00
acceleration_lookback = 10, rho_x = 1.00e-03
Variables n = 61, constraints m = 185
Cones: primal zero / dual free vars: 10
linear vars: 15
soc vars: 16, soc blks: 4
sd vars: 72, sd blks: 6
exp vars: 30, dual exp vars: 30
primal + dual power vars: 12
normalizing A
Col 0: A[6,0] = -1.206851, A[8,0] = 0.863559, A[12,0] = -0.469813, A[67,0] = -2.689922, A[73,0] = -0.485232, A[74,0] = 0.755218, A[87,0] = 1.846006, A[106,0] = -0.337257, A[118,0] = 1.668043, A[119,0] = -0.685583, A[122,0] = -0.638478, A[134,0] = -0.000831, A[135,0] = 0.167899, A[144,0] = 0.345549, A[150,0] = 0.561291, A[154,0] = -1.539839, A[156,0] = -0.018222, A[165,0] = 0.333911, norm col = 4.537789
Col 1: A[1,1] = -1.035912, A[22,1] = 0.302134, A[27,1] = 1.342489, A[29,1] = -1.589006, A[30,1] = 0.260136, A[31,1] = -0.944863, A[32,1] = -1.301213, A[40,1] = -0.545500, A[41,1] = 0.345863, A[44,1] = 0.113402, A[54,1] = 0.372327, A[56,1] = -0.940242, A[67,1] = -0.165816, A[68,1] = 0.015342, A[96,1] = 0.040193, A[98,1] = 0.704175, A[118,1] = 1.749359, A[125,1] = -1.037643, A[136,1] = -0.568351, A[141,1] = 0.261406, A[142,1] = 0.594032, A[143,1] = 1.390197, A[168,1] = 0.623981, A[169,1] = 2.074249, A[180,1] = 0.419618, A[182,1] = -0.699009, norm col = 4.721604
Col 2: A[19,2] = -1.900260, A[22,2] = 0.152708, A[27,2] = -0.907976, A[39,2] = -0.154472, A[41,2] = -0.122479, A[46,2] = 0.452478, A[53,2] = 0.150574, A[57,2] = 0.436414, A[60,2] = 0.609777, A[62,2] = 0.171775, A[64,2] = -0.423926, A[71,2] = 0.719417, A[76,2] = 0.740349, A[100,2] = 0.103041, A[102,2] = 0.808124, A[112,2] = -0.244497, A[154,2] = -1.638796, norm col = 3.157736
Col 3: A[4,3] = 0.326188, A[7,3] = -0.283094, A[18,3] = -0.759929, A[24,3] = -0.537671, A[27,3] = 1.785176, A[31,3] = -1.591887, A[38,3] = -0.310212, A[42,3] = -2.122614, A[46,3] = 0.048864, A[51,3] = -1.861490, A[58,3] = -0.927513, A[60,3] = 0.839950, A[98,3] = 0.499054, A[112,3] = 1.339145, A[131,3] = -0.160219, A[133,3] = 1.414424, A[135,3] = 0.098009, A[142,3] = -0.759221, A[144,3] = 0.947055, A[157,3] = 0.494506, A[164,3] = -1.106431, A[167,3] = -0.762322, A[184,3] = -1.896000, norm col = 5.254082
Col 4: A[6,4] = 0.960787, A[8,4] = -0.455470, A[17,4] = 0.336045, A[32,4] = -2.022427, A[35,4] = 0.661065, A[39,4] = 0.415695, A[47,4] = 0.554309, A[54,4] = -0.639492, A[71,4] = 0.007206, A[95,4] = -1.002909, A[98,4] = -0.722712, A[101,4] = -1.452656, A[102,4] = -0.674956, A[104,4] = -0.476761, A[134,4] = 0.128345, A[140,4] = 0.054886, A[147,4] = -0.433494, A[158,4] = 1.595778, A[170,4] = -0.625777, A[171,4] = -1.509232, A[174,4] = -1.108695, norm col = 4.199224
Col 5: A[1,5] = -0.062359, A[22,5] = 1.270369, A[27,5] = 1.229778, A[31,5] = 0.054518, A[41,5] = -0.580707, A[48,5] = -0.584464, A[57,5] = -1.682610, A[59,5] = -0.336008, A[60,5] = 0.740041, A[62,5] = 1.575790, A[65,5] = 2.429000, A[66,5] = -1.055031, A[82,5] = -0.340976, A[109,5] = 1.267178, A[116,5] = 0.473097, A[141,5] = 0.147264, A[166,5] = -1.088250, A[167,5] = -0.566231, A[170,5] = -1.196836, A[173,5] = 0.633929, norm col = 4.701761
Col 6: A[0,6] = -0.359033, A[3,6] = 1.297341, A[16,6] = -0.981776, A[35,6] = 0.485829, A[39,6] = -0.373926, A[40,6] = -0.062819, A[59,6] = -0.165077, A[64,6] = 0.887094, A[66,6] = 0.772705, A[67,6] = 0.506437, A[91,6] = 1.778887, A[92,6] = 0.522316, A[102,6] = 0.510619, A[114,6] = 0.426455, A[116,6] = -2.109753, A[128,6] = 0.090164, A[145,6] = -1.019884, A[165,6] = 0.072555, A[183,6] = 0.875560, norm col = 3.869688
Col 7: A[13,7] = 0.082552, A[23,7] = 0.243696, A[25,7] = 0.020209, A[26,7] = -1.396991, A[37,7] = -0.106853, A[39,7] = 0.015527, A[67,7] = 0.754074, A[75,7] = 1.466766, A[85,7] = -2.003671, A[117,7] = -0.470493, A[139,7] = -0.090451, A[141,7] = -0.069088, A[176,7] = 1.649970, norm col = 3.423638
Col 8: A[19,8] = -0.460752, A[26,8] = -0.568000, A[33,8] = -0.207227, A[34,8] = -0.266988, A[43,8] = -0.385095, A[45,8] = 1.064313, A[56,8] = -1.802117, A[61,8] = 0.643571, A[62,8] = 0.340310, A[70,8] = 0.210784, A[76,8] = -0.304161, A[87,8] = -0.047400, A[91,8] = 0.370178, A[93,8] = 0.253284, A[118,8] = 0.815811, A[120,8] = 0.622343, A[146,8] = -0.413453, A[147,8] = -0.026967, norm col = 2.696799
Col 9: A[35,9] = -0.364116, A[47,9] = -0.238373, A[49,9] = 0.393924, A[52,9] = -1.417077, A[61,9] = -0.853893, A[64,9] = 0.092450, A[69,9] = -0.332618, A[89,9] = -0.178036, A[91,9] = 0.894469, A[93,9] = -0.664345, A[99,9] = 0.480248, A[120,9] = 0.853316, A[149,9] = -0.550890, A[168,9] = -0.040372, A[172,9] = -0.358027, norm col = 2.422025
Col 10: A[7,10] = 1.030993, A[8,10] = 1.028718, A[12,10] = -0.105932, A[17,10] = -1.215521, A[25,10] = 1.655521, A[40,10] = -0.560652, A[61,10] = -0.535588, A[67,10] = 0.771024, A[71,10] = 1.661088, A[72,10] = -0.670617, A[82,10] = -0.603055, A[83,10] = -0.360067, A[120,10] = -0.654276, A[123,10] = 0.268561, A[125,10] = -0.912225, A[140,10] = -0.027401, A[166,10] = 0.795094, A[178,10] = -1.187776, norm col = 3.824224
Col 11: A[0,11] = -0.236468, A[9,11] = -0.513782, A[42,11] = 0.260273, A[70,11] = 0.276646, A[78,11] = 0.204153, A[82,11] = 1.732228, A[95,11] = -0.035820, A[105,11] = -1.919230, A[112,11] = -0.226640, A[124,11] = -0.887895, A[166,11] = 0.514763, A[172,11] = -0.666147, A[183,11] = -0.146568, norm col = 2.959920
Col 12: A[33,12] = 0.912106, A[47,12] = 0.036566, A[49,12] = -0.204922, A[52,12] = -0.516063, A[70,12] = -0.946272, A[73,12] = -0.739528, A[84,12] = -0.784110, A[93,12] = 2.027786, A[100,12] = -1.763736, A[105,12] = -0.170454, A[119,12] = 0.569993, A[133,12] = -0.113419, A[140,12] = -0.917188, A[147,12] = -0.033559, A[152,12] = 0.239341, A[159,12] = 0.183979, A[162,12] = 1.545330, A[169,12] = 1.185061, A[170,12] = -0.715910, norm col = 4.003333
Col 13: A[18,13] = -0.331922, A[20,13] = 0.517896, A[44,13] = 0.221609, A[51,13] = -1.228412, A[66,13] = -0.874334, A[104,13] = -0.447158, A[121,13] = -1.413657, A[124,13] = 0.432392, A[136,13] = 0.224959, A[140,13] = 1.042822, A[145,13] = 0.520345, A[150,13] = 0.125531, A[152,13] = 0.644176, A[157,13] = 1.272924, A[169,13] = 0.814255, A[176,13] = -1.676726, A[179,13] = 2.263853, A[182,13] = -1.576573, A[183,13] = -0.430005, norm col = 4.451532
Col 14: A[28,14] = -1.565728, A[33,14] = 1.299645, A[35,14] = -0.314642, A[43,14] = -1.309032, A[64,14] = -0.429384, A[66,14] = 2.366588, A[70,14] = -0.439853, A[78,14] = 0.233694, A[93,14] = -0.853007, A[124,14] = -0.715146, A[126,14] = -1.065915, A[130,14] = -0.675298, A[137,14] = -0.145184, A[140,14] = 1.996538, A[153,14] = -0.555419, A[158,14] = -2.988613, A[172,14] = 0.814364, norm col = 5.359881
Col 15: A[0,15] = -0.220371, A[9,15] = -0.863762, A[10,15] = 1.129614, A[11,15] = 1.168249, A[34,15] = -0.024954, A[43,15] = -0.693928, A[50,15] = -1.159928, A[66,15] = 1.076207, A[87,15] = -0.893210, A[91,15] = -2.160995, A[100,15] = -0.338497, A[118,15] = 1.681147, A[122,15] = 0.576575, A[128,15] = -0.969305, A[130,15] = -2.624801, A[137,15] = 0.549142, A[141,15] = -0.352703, A[143,15] = -0.325695, A[157,15] = -0.079881, A[164,15] = 0.948142, A[172,15] = 1.669309, norm col = 5.216839
Col 16: A[3,16] = -1.710671, A[7,16] = -1.542006, A[10,16] = 0.959852, A[22,16] = 0.839011, A[54,16] = 0.781853, A[65,16] = 0.597034, A[100,16] = -0.960164, A[108,16] = 0.478297, A[110,16] = -0.142541, A[127,16] = -0.445685, A[128,16] = 1.122670, A[129,16] = 0.180852, A[131,16] = 0.835357, A[135,16] = 0.372525, A[156,16] = -0.285335, A[160,16] = 0.101180, A[168,16] = -0.577225, A[178,16] = -1.132877, norm col = 3.620049
Col 17: A[17,17] = 1.705469, A[18,17] = 1.443045, A[31,17] = 1.252224, A[32,17] = 1.530901, A[37,17] = 0.172339, A[40,17] = 1.670376, A[41,17] = 0.110732, A[54,17] = 0.280302, A[57,17] = 1.477067, A[61,17] = -0.739222, A[64,17] = -0.935028, A[67,17] = 0.608229, A[72,17] = 0.062423, A[75,17] = 1.588432, A[78,17] = -1.711028, A[87,17] = 0.177418, A[125,17] = 0.944507, A[135,17] = -0.381642, A[142,17] = -2.235563, A[152,17] = -0.345052, A[163,17] = 0.824403, A[169,17] = -1.180647, A[179,17] = -1.120815, A[181,17] = 0.196149, norm col = 5.549300
Col 18: A[4,18] = 1.803046, A[10,18] = -1.187326, A[12,18] = -1.168346, A[66,18] = 0.321678, A[67,18] = 1.339995, A[78,18] = 1.379822, A[86,18] = 0.695699, A[103,18] = 0.038815, A[104,18] = 0.892005, A[126,18] = 1.188766, A[132,18] = 1.734664, A[139,18] = -0.917930, A[145,18] = 0.192010, A[155,18] = -1.300792, A[163,18] = 0.598798, A[165,18] = -0.595540, A[166,18] = -0.046248, A[175,18] = 1.491005, norm col = 4.587169
Col 19: A[21,19] = -0.662199, A[26,19] = -0.528363, A[33,19] = -1.032685, A[44,19] = 0.376763, A[50,19] = -0.375709, A[67,19] = 0.885911, A[68,19] = -0.366406, A[86,19] = 0.592036, A[104,19] = -0.516129, A[106,19] = 0.383933, A[114,19] = -1.328131, A[119,19] = -0.226637, A[125,19] = 0.192256, A[133,19] = -0.378280, A[139,19] = 0.335196, A[147,19] = -0.317346, A[148,19] = -0.095993, A[163,19] = -0.748969, A[169,19] = 1.453182, A[173,19] = 0.191210, A[177,19] = 2.072697, A[178,19] = 1.648894, norm col = 3.961366
Col 20: A[54,20] = 0.330227, A[78,20] = 1.820904, A[84,20] = -1.742970, A[95,20] = -0.395139, A[98,20] = 0.617020, A[110,20] = -0.168187, A[159,20] = 1.203649, A[163,20] = 1.082557, A[164,20] = 1.057728, A[179,20] = 0.410239, norm col = 3.306903
Col 21: A[33,21] = 2.562215, A[43,21] = -1.625681, A[58,21] = -0.348406, A[71,21] = -0.160996, A[85,21] = 0.051947, A[101,21] = -0.370658, A[104,21] = 1.416447, A[110,21] = 0.132962, A[116,21] = -0.365406, A[118,21] = 0.299341, A[124,21] = -0.964267, A[129,21] = -0.321790, A[147,21] = -0.677322, A[151,21] = 0.988040, A[156,21] = 0.647870, A[158,21] = 0.094470, A[165,21] = -0.068870, A[167,21] = 0.057045, norm col = 3.827180
Col 22: A[2,22] = 0.544001, A[9,22] = 0.511505, A[14,22] = -1.484276, A[17,22] = 0.301055, A[47,22] = 0.221679, A[53,22] = -1.119173, A[56,22] = -0.018051, A[61,22] = 0.039302, A[76,22] = -1.312342, A[77,22] = -0.142839, A[95,22] = -1.811841, A[100,22] = -1.204969, A[104,22] = -1.194682, A[111,22] = -1.453131, A[113,22] = -0.222115, A[145,22] = 0.656455, A[146,22] = -0.157161, A[157,22] = -0.312462, A[173,22] = -1.495752, A[174,22] = -0.296100, norm col = 4.135047
Col 23: A[3,23] = -1.755952, A[18,23] = -1.141711, A[24,23] = 0.470699, A[27,23] = 0.575074, A[34,23] = -1.622918, A[38,23] = -0.648561, A[43,23] = 0.063324, A[50,23] = -0.310260, A[53,23] = 0.026704, A[57,23] = 1.469390, A[63,23] = 0.059517, A[100,23] = 0.557447, A[103,23] = -0.745491, A[109,23] = 0.549668, A[110,23] = -0.864975, A[117,23] = 0.002147, A[138,23] = -0.200222, A[147,23] = 1.017003, A[155,23] = 1.657480, A[156,23] = 0.996295, A[160,23] = -0.762227, A[163,23] = -0.957598, A[178,23] = -0.933849, norm col = 4.399816
Col 24: A[0,24] = -0.724022, A[7,24] = 1.840297, A[47,24] = -1.221739, A[70,24] = 1.788319, A[78,24] = -0.809621, A[104,24] = 1.621797, A[107,24] = 0.229395, A[113,24] = 1.072263, A[114,24] = 1.759571, A[116,24] = 0.086036, A[150,24] = 0.977758, A[182,24] = 0.252918, norm col = 4.148877
Col 25: A[14,25] = -0.804688, A[17,25] = -0.902866, A[19,25] = 0.342550, A[28,25] = -0.629667, A[31,25] = -0.271430, A[48,25] = 0.227880, A[56,25] = -0.910038, A[57,25] = -0.259637, A[64,25] = -0.359509, A[68,25] = -0.901133, A[81,25] = 2.615027, A[86,25] = 0.294160, A[93,25] = 0.314733, A[95,25] = 0.486512, A[99,25] = -0.196455, A[109,25] = -0.192589, A[123,25] = 0.147510, A[124,25] = 0.002162, A[130,25] = 0.667301, A[138,25] = 0.676507, A[147,25] = -1.041103, A[149,25] = 0.207981, A[172,25] = -0.919917, norm col = 3.764762
Col 26: A[0,26] = -0.563937, A[14,26] = -0.063795, A[16,26] = 1.636952, A[27,26] = 0.182067, A[29,26] = 0.310964, A[41,26] = -0.941336, A[49,26] = -2.116556, A[51,26] = 0.554702, A[52,26] = -0.202821, A[57,26] = -1.846486, A[64,26] = 0.427471, A[68,26] = 0.505934, A[79,26] = -0.232782, A[87,26] = 0.106363, A[113,26] = 1.819529, A[126,26] = -1.967074, A[143,26] = 0.236517, A[146,26] = -0.174766, A[150,26] = -0.027971, A[173,26] = -0.732131, A[177,26] = 0.350979, A[180,26] = 0.712531, norm col = 4.603722
Col 27: A[4,27] = -0.760328, A[6,27] = 0.436939, A[33,27] = 1.005354, A[37,27] = -0.042042, A[39,27] = 0.695454, A[49,27] = -0.632282, A[65,27] = 0.163487, A[66,27] = 0.946050, A[77,27] = -0.023302, A[87,27] = 0.301766, A[93,27] = -1.157056, A[97,27] = -0.369886, A[108,27] = -1.383878, A[114,27] = -1.126602, A[134,27] = 0.042800, A[149,27] = -0.353434, A[158,27] = -0.644785, A[166,27] = 0.124892, A[177,27] = 1.001462, A[178,27] = 1.056285, A[181,27] = 0.602317, norm col = 3.373097
Col 28: A[3,28] = -0.133899, A[4,28] = -0.082469, A[5,28] = -0.518853, A[16,28] = -0.285819, A[35,28] = 0.702679, A[51,28] = 0.366347, A[57,28] = -0.885192, A[74,28] = -1.475473, A[85,28] = -0.481794, A[99,28] = -0.047377, A[112,28] = -1.398056, A[116,28] = -2.639044, A[123,28] = 1.644508, A[133,28] = -0.700697, A[135,28] = 0.269300, A[150,28] = 0.011902, A[159,28] = 0.082117, norm col = 4.048760
Col 29: A[48,29] = 0.362707, A[55,29] = -0.319633, A[64,29] = 1.505142, A[70,29] = 0.443872, A[71,29] = 0.144066, A[73,29] = -1.361259, A[76,29] = -0.047821, A[83,29] = 0.202138, A[84,29] = 0.033576, A[118,29] = 0.322959, A[148,29] = 0.022423, A[181,29] = -0.442250, A[183,29] = 0.788937, A[184,29] = 0.743258, norm col = 2.467690
Col 30: A[8,30] = -1.218901, A[11,30] = -0.415589, A[28,30] = 0.157355, A[34,30] = -0.176467, A[70,30] = -0.767397, A[76,30] = -1.860561, A[79,30] = 0.030345, A[102,30] = -0.177908, A[114,30] = -0.056013, A[118,30] = 1.463076, A[137,30] = -0.813011, A[146,30] = -0.232422, A[149,30] = -0.474979, A[152,30] = -0.400251, A[174,30] = 2.003269, A[183,30] = 0.227754, norm col = 3.620358
Col 31: A[14,31] = -0.075885, A[16,31] = 1.260068, A[29,31] = -0.714298, A[30,31] = -0.922311, A[66,31] = 2.153572, A[83,31] = 0.286416, A[87,31] = -0.902352, A[92,31] = 1.068089, A[121,31] = -0.890376, A[132,31] = -1.478052, A[145,31] = -0.639138, norm col = 3.607669
Col 32: A[3,32] = -0.344556, A[12,32] = 1.496575, A[24,32] = -0.376605, A[40,32] = -1.007589, A[66,32] = 0.960331, A[80,32] = -0.143142, A[85,32] = -0.958337, A[106,32] = 0.317805, A[111,32] = 0.347999, A[112,32] = 0.279719, A[117,32] = -1.082825, A[127,32] = 0.967217, A[149,32] = -0.526266, A[154,32] = 0.178592, A[157,32] = 0.761217, A[161,32] = 0.357359, A[168,32] = -0.806407, A[171,32] = 0.545845, A[174,32] = -0.826750, A[175,32] = -0.929543, norm col = 3.361077
Col 33: A[16,33] = 0.174423, A[28,33] = -1.416836, A[33,33] = 1.987061, A[40,33] = -0.514080, A[45,33] = 0.588124, A[48,33] = -0.707475, A[59,33] = 0.029932, A[64,33] = 1.297335, A[66,33] = 1.733914, A[68,33] = -0.100085, A[75,33] = 0.697018, A[79,33] = -1.278330, A[90,33] = 0.053353, A[125,33] = -2.565745, A[146,33] = 0.427264, A[148,33] = -1.339351, A[170,33] = -0.913352, A[178,33] = 0.640601, A[182,33] = -1.129764, A[184,33] = 1.968581, norm col = 5.373632
Col 34: A[14,34] = 0.384077, A[19,34] = -0.347713, A[23,34] = -1.091064, A[51,34] = -0.931257, A[62,34] = -0.283091, A[81,34] = -0.506409, A[95,34] = -1.044486, A[113,34] = -0.339165, A[125,34] = -1.394066, A[132,34] = 0.558988, A[180,34] = 0.327576, norm col = 2.496367
Col 35: A[23,35] = -1.071665, A[27,35] = 0.531595, A[32,35] = 0.218295, A[50,35] = -0.198643, A[57,35] = 0.782690, A[71,35] = -1.846566, A[79,35] = 1.172141, A[93,35] = -1.157621, A[99,35] = -0.262082, A[105,35] = -2.000649, A[114,35] = 0.880818, A[115,35] = -0.907625, A[122,35] = -0.112130, A[133,35] = 1.666506, A[136,35] = -0.076961, A[139,35] = -0.016047, A[149,35] = 0.758390, A[158,35] = -0.163543, A[162,35] = -0.362836, A[180,35] = -0.506875, norm col = 4.208558
Col 36: A[0,36] = 0.833240, A[25,36] = 0.094139, A[31,36] = -0.098167, A[39,36] = 0.151449, A[45,36] = -0.496493, A[47,36] = -0.390377, A[67,36] = -1.170771, A[84,36] = -1.656962, A[98,36] = 1.618047, A[117,36] = 0.787630, A[124,36] = -1.173688, A[125,36] = 1.120650, A[133,36] = -0.087217, A[135,36] = 1.026429, A[157,36] = -0.470475, A[161,36] = -0.069905, A[170,36] = -0.587465, A[176,36] = 0.930258, A[178,36] = -1.063487, norm col = 3.840779
Col 37: A[11,37] = -1.303001, A[13,37] = 0.749110, A[17,37] = 0.577245, A[19,37] = 0.975987, A[23,37] = 0.730766, A[27,37] = 1.379133, A[28,37] = 0.928824, A[41,37] = -0.143793, A[54,37] = 0.566123, A[55,37] = -0.926338, A[59,37] = -0.413635, A[70,37] = 0.663900, A[71,37] = 0.827249, A[87,37] = -0.605886, A[89,37] = 0.385254, A[96,37] = -0.500510, A[103,37] = 0.705869, A[139,37] = 0.048533, A[156,37] = -0.256261, A[162,37] = 1.402906, A[170,37] = 0.530915, A[172,37] = -1.038925, A[175,37] = 0.041648, A[177,37] = -0.925871, norm col = 3.854817
Col 38: A[2,38] = 0.599448, A[16,38] = 0.752306, A[21,38] = 0.723650, A[40,38] = 0.376068, A[59,38] = -0.215044, A[72,38] = 1.749292, A[73,38] = -0.057462, A[76,38] = 0.095701, A[88,38] = 0.433828, A[95,38] = 1.610822, A[105,38] = -0.706034, A[111,38] = 0.726965, A[113,38] = -1.117815, A[142,38] = -0.735266, A[149,38] = -1.156105, A[154,38] = 1.079638, A[161,38] = -0.462560, A[177,38] = -1.653900, norm col = 3.969977
Col 39: A[5,39] = 0.981358, A[6,39] = 0.906372, A[8,39] = -0.570200, A[35,39] = -1.154490, A[36,39] = -0.866922, A[37,39] = -0.013131, A[53,39] = -1.846225, A[66,39] = 0.818009, A[75,39] = -0.939133, A[89,39] = -0.286034, A[92,39] = 0.395921, A[95,39] = 0.246726, A[96,39] = -0.592040, A[98,39] = 1.450060, A[101,39] = -2.150821, A[102,39] = -0.926403, A[105,39] = -1.114228, A[118,39] = -0.350843, A[134,39] = 0.900688, A[167,39] = -0.483866, norm col = 4.449805
Col 40: A[0,40] = -0.578742, A[12,40] = -0.593588, A[18,40] = -0.273452, A[36,40] = -1.789606, A[40,40] = -1.136045, A[44,40] = 1.072032, A[55,40] = -0.500126, A[66,40] = -1.897397, A[71,40] = 0.114252, A[112,40] = 0.077497, A[117,40] = 0.491889, A[124,40] = -0.623880, A[139,40] = 0.042782, A[147,40] = -0.983032, A[157,40] = -0.064594, A[160,40] = -0.817294, norm col = 3.541950
Col 41: A[25,41] = -1.027868, A[46,41] = 1.385216, A[50,41] = 1.273430, A[54,41] = 2.178527, A[59,41] = 0.075287, A[70,41] = 0.220374, A[72,41] = 0.236592, A[87,41] = 1.759329, A[91,41] = -0.429419, A[92,41] = 0.633310, A[113,41] = -0.825143, A[143,41] = 0.293861, A[163,41] = 1.695485, A[165,41] = 0.057094, A[169,41] = -0.423171, A[179,41] = -1.586973, norm col = 4.413227
Col 42: A[7,42] = 0.321875, A[20,42] = 0.671879, A[27,42] = 1.686550, A[31,42] = 0.400683, A[33,42] = -0.148608, A[37,42] = -0.023753, A[40,42] = -0.912158, A[53,42] = -0.824538, A[64,42] = 0.058058, A[73,42] = 0.837827, A[78,42] = 0.364222, A[86,42] = 1.413028, A[96,42] = 0.708016, A[101,42] = 0.672240, A[107,42] = -0.268884, A[112,42] = -0.069889, A[118,42] = 1.486232, A[120,42] = 1.330776, A[122,42] = 0.190798, A[123,42] = -0.364379, A[133,42] = -1.111333, A[141,42] = 0.511243, A[157,42] = -1.117402, A[182,42] = 0.292797, norm col = 3.992411
Col 43: A[1,43] = -0.554225, A[4,43] = 1.176066, A[15,43] = 0.633489, A[21,43] = -0.104367, A[25,43] = 0.532960, A[48,43] = 0.248463, A[58,43] = 1.167500, A[66,43] = 2.945386, A[69,43] = -1.043165, A[94,43] = -0.183614, A[106,43] = 1.380952, A[119,43] = 1.667777, A[151,43] = -0.109263, A[160,43] = 0.411623, A[181,43] = -0.688351, A[184,43] = 0.764299, norm col = 4.420000
Col 44: A[0,44] = 0.157738, A[33,44] = 0.733777, A[36,44] = 1.098446, A[38,44] = -0.103601, A[43,44] = -0.770966, A[68,44] = 1.094546, A[81,44] = 0.663406, A[82,44] = 1.137315, A[96,44] = 0.578834, A[103,44] = -1.334973, A[124,44] = 2.549613, A[148,44] = 0.774279, A[149,44] = 2.263118, A[154,44] = 0.154488, A[155,44] = 1.010456, A[169,44] = -1.598692, A[171,44] = 0.781658, norm col = 4.884391
Col 45: A[3,45] = -0.089532, A[20,45] = 0.787135, A[26,45] = -0.037927, A[33,45] = 2.235628, A[34,45] = 0.746407, A[47,45] = -0.100472, A[61,45] = 0.234906, A[66,45] = 0.456805, A[74,45] = -0.046524, A[75,45] = 0.363138, A[98,45] = 0.082776, A[102,45] = -0.280847, A[117,45] = -0.948153, A[149,45] = -0.223839, A[150,45] = -1.905817, A[155,45] = -2.038972, A[158,45] = 1.297547, A[162,45] = 0.643133, A[164,45] = 1.562730, A[165,45] = -0.425163, A[173,45] = 1.143992, A[183,45] = -0.663024, norm col = 4.678140
Col 46: A[4,46] = 0.874086, A[12,46] = 0.459684, A[13,46] = 0.766113, A[15,46] = -0.169506, A[26,46] = 0.889076, A[30,46] = -0.490582, A[47,46] = -0.457960, A[53,46] = 1.605346, A[61,46] = 0.610707, A[76,46] = -0.723451, A[84,46] = 0.205226, A[88,46] = -0.094865, A[96,46] = -0.734612, A[102,46] = 0.339821, A[105,46] = 2.051501, A[126,46] = -0.591375, A[138,46] = 0.896218, A[145,46] = 1.341032, A[166,46] = 0.028904, A[167,46] = 0.111456, A[170,46] = 0.539388, norm col = 3.804699
Col 47: A[0,47] = -1.125759, A[22,47] = 1.459166, A[29,47] = 0.359442, A[47,47] = 0.764836, A[55,47] = 1.589521, A[56,47] = -0.016806, A[58,47] = 1.396625, A[71,47] = -2.057983, A[94,47] = 1.129000, A[103,47] = -1.402041, A[138,47] = 0.174472, A[172,47] = 0.363594, A[174,47] = 0.347017, A[184,47] = -0.747655, norm col = 4.111666
Col 48: A[14,48] = -1.008540, A[19,48] = 1.569683, A[21,48] = -0.932017, A[29,48] = -0.597204, A[53,48] = -0.180976, A[82,48] = -0.691983, A[96,48] = 1.825628, A[102,48] = 0.450999, A[109,48] = 0.404480, A[116,48] = 0.405463, A[122,48] = -0.266732, A[135,48] = 0.716622, A[148,48] = 0.168109, A[154,48] = 1.135602, A[161,48] = -1.111607, A[169,48] = -1.590361, A[176,48] = -0.448627, A[179,48] = 0.124932, A[180,48] = 0.311697, A[182,48] = -0.040886, norm col = 3.881423
Col 49: A[1,49] = 0.182293, A[5,49] = -0.237581, A[18,49] = 0.719539, A[36,49] = 2.200068, A[39,49] = 0.458614, A[41,49] = -1.438922, A[43,49] = -0.580624, A[59,49] = 0.063314, A[73,49] = 0.144409, A[110,49] = 0.386158, A[114,49] = 0.861843, A[117,49] = 2.108707, A[120,49] = 1.733756, A[128,49] = -0.963597, A[129,49] = -0.756565, A[153,49] = -1.487402, A[166,49] = 1.564458, norm col = 4.753501
Col 50: A[8,50] = 0.822991, A[23,50] = 0.487443, A[32,50] = -0.973024, A[40,50] = 0.563533, A[44,50] = 2.308095, A[63,50] = -0.514605, A[78,50] = -1.218704, A[81,50] = 0.241288, A[83,50] = -0.878800, A[84,50] = 2.385595, A[91,50] = 1.237189, A[94,50] = -0.052489, A[101,50] = -1.120765, A[108,50] = 0.845049, A[109,50] = 0.136149, A[110,50] = 0.488700, A[122,50] = 0.124359, A[128,50] = 0.047711, A[132,50] = -1.542136, A[133,50] = 0.700460, A[149,50] = -0.730247, A[183,50] = 1.800911, norm col = 5.118817
Col 51: A[1,51] = -0.147399, A[18,51] = -0.188446, A[60,51] = 0.028704, A[82,51] = 0.057602, A[93,51] = -0.754166, A[101,51] = 1.087060, A[104,51] = 1.170344, A[114,51] = 1.328704, A[116,51] = -0.455275, A[125,51] = 0.237428, A[133,51] = -0.158570, A[139,51] = -0.750240, A[141,51] = 0.122273, A[147,51] = 0.056289, A[148,51] = -0.834512, A[152,51] = -0.648370, A[161,51] = 0.123122, A[166,51] = -2.205971, A[168,51] = 1.339046, A[173,51] = 1.000250, norm col = 3.822117
Col 52: A[1,52] = -0.496007, A[7,52] = 1.136981, A[12,52] = 0.706351, A[26,52] = 0.281720, A[30,52] = -0.066117, A[34,52] = 0.055828, A[43,52] = 0.231748, A[46,52] = 0.110178, A[53,52] = -1.625993, A[55,52] = 0.124607, A[86,52] = 0.900867, A[87,52] = 1.286457, A[95,52] = 0.733243, A[103,52] = -1.301387, A[104,52] = 0.162834, A[106,52] = 0.946031, A[125,52] = 1.939107, A[126,52] = 0.380390, A[130,52] = 0.470692, A[135,52] = -1.582229, A[156,52] = 0.403522, A[174,52] = -0.430623, norm col = 4.176977
Col 53: A[27,53] = 0.699985, A[44,53] = 0.626663, A[54,53] = -1.833447, A[55,53] = 0.322385, A[63,53] = 1.254480, A[69,53] = -0.878100, A[98,53] = -1.008056, A[144,53] = 0.008790, A[163,53] = 0.298140, A[178,53] = -1.477918, A[179,53] = 1.591420, A[181,53] = 0.639705, norm col = 3.595017
Col 54: A[6,54] = 1.086846, A[18,54] = 0.820320, A[20,54] = -0.328124, A[42,54] = 2.248486, A[44,54] = -2.385878, A[62,54] = -0.310174, A[65,54] = 1.816484, A[73,54] = 0.736713, A[84,54] = 0.962165, A[99,54] = -0.354334, A[102,54] = 0.928717, A[114,54] = -1.188192, A[115,54] = 0.780231, A[124,54] = -1.504407, A[126,54] = -1.020438, A[128,54] = -0.088190, A[142,54] = -1.672730, A[146,54] = -0.410700, A[150,54] = -1.297016, A[153,54] = -2.094297, A[154,54] = 1.185872, A[158,54] = -0.955136, A[166,54] = -0.028851, A[177,54] = -0.310225, norm col = 5.945240
Col 55: A[4,55] = 0.027445, A[6,55] = 0.158761, A[12,55] = 1.213110, A[29,55] = -0.620272, A[40,55] = 0.563422, A[43,55] = -1.053724, A[48,55] = -0.800606, A[51,55] = -0.452298, A[53,55] = 0.615721, A[55,55] = 0.444214, A[87,55] = -1.284186, A[89,55] = 0.578161, A[124,55] = 0.969557, A[138,55] = 0.103240, A[141,55] = 0.674879, A[165,55] = -0.825728, A[170,55] = 0.409655, A[178,55] = -0.633505, A[184,55] = -0.627681, norm col = 3.125158
Col 56: A[5,56] = 1.150481, A[6,56] = 0.499095, A[15,56] = 1.993102, A[17,56] = 0.661722, A[22,56] = 0.503448, A[23,56] = 0.706755, A[38,56] = -1.401679, A[54,56] = -0.700622, A[57,56] = -1.798365, A[79,56] = -1.060844, A[110,56] = -0.138754, A[129,56] = 1.441624, A[134,56] = -0.710555, A[151,56] = 0.418251, A[167,56] = 1.033474, norm col = 4.170911
Col 57: A[6,57] = -1.812930, A[17,57] = -0.694357, A[19,57] = 0.597303, A[21,57] = -0.465555, A[27,57] = 0.087544, A[31,57] = -1.059267, A[60,57] = -1.403183, A[64,57] = -1.458043, A[76,57] = -0.444007, A[119,57] = 0.844868, A[135,57] = 0.312226, A[140,57] = -0.697282, A[141,57] = 0.254737, A[143,57] = -0.840945, A[157,57] = 0.605898, A[173,57] = -1.548953, A[174,57] = 1.095104, A[175,57] = -1.236786, A[177,57] = 0.403188, norm col = 4.182273
Col 58: A[4,58] = 0.698483, A[16,58] = 0.853524, A[17,58] = -0.620789, A[39,58] = 1.999175, A[53,58] = 0.635154, A[61,58] = -0.416658, A[69,58] = -0.638582, A[72,58] = -0.372854, A[82,58] = -0.617681, A[86,58] = -0.515064, A[89,58] = -0.150749, A[100,58] = 0.621217, A[104,58] = 0.767043, A[130,58] = -2.821213, A[139,58] = 1.138701, A[140,58] = 0.963947, A[175,58] = 1.026096, A[177,58] = 0.543489, norm col = 4.460878
Col 59: A[0,59] = -0.013425, A[11,59] = 0.332960, A[24,59] = 1.033757, A[34,59] = -1.357535, A[35,59] = 1.154216, A[46,59] = 0.209001, A[58,59] = -0.696798, A[66,59] = 1.112719, A[72,59] = -1.858395, A[74,59] = -0.262073, A[75,59] = 2.417749, A[76,59] = -0.178446, A[82,59] = -1.248091, A[88,59] = -0.650475, A[95,59] = -1.521309, A[111,59] = -0.735864, A[113,59] = -0.050522, A[175,59] = 0.035903, norm col = 4.512472
Col 60: A[3,60] = -0.441950, A[8,60] = 0.026780, A[33,60] = 2.532903, A[38,60] = 0.333359, A[44,60] = -0.045075, A[50,60] = 0.321977, A[70,60] = 0.663547, A[73,60] = -0.147945, A[90,60] = -0.312257, A[95,60] = 0.052765, A[97,60] = 0.238314, A[120,60] = -0.383689, A[146,60] = -1.456582, A[147,60] = 0.148380, A[151,60] = -0.417187, A[167,60] = 1.011874, A[181,60] = -2.279973, A[182,60] = -1.134464, norm col = 4.173945
norm A = 32.417339
finished normalizing A, time: 3.79e-03s
Col 0: A[6,0] = -1.529965, A[8,0] = 2.066672, A[12,0] = -0.493763, A[67,0] = -5.916395, A[73,0] = -1.067253, A[74,0] = 1.661077, A[87,0] = 4.060228, A[106,0] = -0.741785, A[118,0] = 2.166506, A[119,0] = -1.468910, A[122,0] = -1.474405, A[134,0] = -0.002560, A[135,0] = 0.517077, A[144,0] = 0.830270, A[150,0] = 1.251378, A[154,0] = -3.153425, A[156,0] = -0.034627, A[165,0] = 0.631663, norm col = 9.202480
Col 1: A[1,1] = -4.428858, A[22,1] = 0.896628, A[27,1] = 3.657975, A[29,1] = -4.329675, A[30,1] = 0.833139, A[31,1] = -3.026114, A[32,1] = -4.167396, A[40,1] = -1.331230, A[41,1] = 0.949285, A[44,1] = 0.311251, A[54,1] = 0.948521, A[56,1] = -2.395309, A[67,1] = -0.572333, A[68,1] = 0.052955, A[96,1] = 0.138730, A[98,1] = 2.430541, A[118,1] = 3.565633, A[125,1] = -2.198169, A[136,1] = -2.746816, A[141,1] = 0.859268, A[142,1] = 1.952648, A[143,1] = 5.241929, A[168,1] = 1.702384, A[169,1] = 5.659099, A[180,1] = 1.280655, A[182,1] = -1.980026, norm col = 13.893616
Col 2: A[19,2] = -4.286146, A[22,2] = 0.502723, A[27,2] = -2.744469, A[39,2] = -0.548808, A[41,2] = -0.372912, A[46,2] = 1.377666, A[53,2] = 0.425525, A[57,2] = 0.890049, A[60,2] = 2.334787, A[62,2] = 0.657712, A[64,2] = -1.623181, A[71,2] = 2.754592, A[76,2] = 2.834739, A[100,2] = 0.394536, A[102,2] = 3.094242, A[112,2] = -0.936160, A[154,2] = -5.842400, norm col = 9.917129
Col 3: A[4,3] = 0.654268, A[7,3] = -0.460744, A[18,3] = -2.525799, A[24,3] = -3.081816, A[27,3] = 4.862650, A[31,3] = -5.096717, A[38,3] = -0.993202, A[42,3] = -5.824051, A[46,3] = 0.134074, A[51,3] = -4.740727, A[58,3] = -3.200401, A[60,3] = 2.898266, A[98,3] = 1.721996, A[112,3] = 4.620745, A[131,3] = -0.420398, A[133,3] = 3.711295, A[135,3] = 0.473524, A[142,3] = -2.494847, A[144,3] = 3.569865, A[157,3] = 1.474225, A[164,3] = -3.283569, A[167,3] = -2.079156, A[184,3] = -5.368943, norm col = 15.676208
Col 4: A[6,4] = 1.726600, A[8,4] = -1.545170, A[17,4] = 0.904931, A[32,4] = -5.850877, A[35,4] = 1.912459, A[39,4] = 1.202604, A[47,4] = 1.275574, A[54,4] = -1.471598, A[71,4] = 0.022468, A[95,4] = -3.126915, A[98,4] = -2.253303, A[101,4] = -4.529155, A[102,4] = -2.104406, A[104,4] = -1.486467, A[134,4] = 0.560303, A[140,4] = 0.162969, A[147,4] = -1.467056, A[158,4] = 4.974220, A[170,4] = -1.953559, A[171,4] = -4.711543, A[174,4] = -2.348966, norm col = 12.251201
Col 5: A[1,5] = -0.188119, A[22,5] = 2.660157, A[27,5] = 2.364398, A[31,5] = 0.123203, A[41,5] = -1.124638, A[48,5] = -1.050615, A[57,5] = -2.182772, A[59,5] = -0.818344, A[60,5] = 1.802364, A[62,5] = 3.837822, A[65,5] = 5.915805, A[66,5] = -2.569518, A[82,5] = -0.830443, A[109,5] = 3.086200, A[116,5] = 0.680411, A[141,5] = 0.341566, A[166,5] = -2.279565, A[167,5] = -1.090044, A[170,5] = -2.918595, A[173,5] = 1.049150, norm col = 10.338963
Col 6: A[0,6] = -1.552361, A[3,6] = 1.834912, A[16,6] = -2.352568, A[35,6] = 1.498436, A[39,6] = -1.153294, A[40,6] = -0.147634, A[59,6] = -0.548715, A[64,6] = 2.948700, A[66,6] = 2.568472, A[67,6] = 1.683396, A[91,6] = 5.913021, A[92,6] = 1.736180, A[102,6] = 1.697298, A[114,6] = 1.234357, A[116,6] = -4.141217, A[128,6] = 0.179330, A[145,6] = -3.703428, A[165,6] = 0.207427, A[183,6] = 2.388432, norm col = 10.600129
Col 7: A[13,7] = 0.272847, A[23,7] = 0.498891, A[25,7] = 0.047094, A[26,7] = -3.255419, A[37,7] = -0.292675, A[39,7] = 0.042529, A[67,7] = 2.225972, A[75,7] = 4.329788, A[85,7] = -5.914693, A[117,7] = -0.820152, A[139,7] = -0.383531, A[141,7] = -0.194221, A[176,7] = 3.107161, norm col = 8.955909
Col 8: A[19,8] = -1.178761, A[26,8] = -1.947315, A[33,8] = -0.835066, A[34,8] = -1.075888, A[43,8] = -1.329897, A[45,8] = 3.675530, A[56,8] = -5.776483, A[61,8] = 2.794970, A[62,8] = 1.477935, A[70,8] = 0.915415, A[76,8] = -1.320945, A[87,8] = -0.205854, A[91,8] = 1.607650, A[93,8] = 1.099989, A[118,8] = 2.092212, A[120,8] = 2.632868, A[146,8] = -1.949022, A[147,8] = -0.127124, norm col = 9.339294
Col 9: A[35,9] = -1.865530, A[47,9] = -0.971461, A[49,9] = 1.605391, A[52,9] = -5.775127, A[61,9] = -4.714896, A[64,9] = 0.510474, A[69,9] = -1.836601, A[89,9] = -0.983053, A[91,9] = 4.938940, A[93,9] = -3.668278, A[99,9] = 2.651762, A[120,9] = 4.589832, A[149,9] = -3.083310, A[168,9] = -0.176203, A[172,9] = -1.979417, norm col = 12.107327
Col 10: A[7,10] = 1.731252, A[8,10] = 3.984912, A[12,10] = -0.180203, A[17,10] = -3.737538, A[25,10] = 4.652669, A[40,10] = -1.411203, A[61,10] = -1.906739, A[67,10] = 2.744909, A[71,10] = 5.913610, A[72,10] = -2.387454, A[82,10] = -2.146925, A[83,10] = -1.281868, A[120,10] = -2.269024, A[123,10] = 1.003822, A[125,10] = -1.993208, A[140,10] = -0.092902, A[166,10] = 2.434533, A[178,10] = -2.697594, norm col = 11.745307
Col 11: A[0,11] = -0.947887, A[9,11] = -2.826604, A[42,11] = 0.637801, A[70,11] = 0.852534, A[78,11] = 0.629132, A[82,11] = 5.338164, A[95,11] = -0.110386, A[105,11] = -5.914445, A[112,11] = -0.698432, A[124,11] = -2.872780, A[166,11] = 1.364368, A[172,11] = -2.055463, A[183,11] = -0.370675, norm col = 9.427137
Col 12: A[33,12] = 2.468621, A[47,12] = 0.078722, A[49,12] = -0.441167, A[52,12] = -1.111009, A[70,12] = -2.760141, A[73,12] = -2.157098, A[84,12] = -2.287135, A[93,12] = 5.914762, A[100,12] = -5.144565, A[105,12] = -0.497190, A[119,12] = 1.619581, A[133,12] = -0.251572, A[140,12] = -2.547798, A[147,12] = -0.106251, A[152,12] = 0.650013, A[159,12] = 0.536514, A[162,12] = 3.560677, A[169,12] = 2.732246, A[170,12] = -2.090866, norm col = 11.006563
Col 13: A[18,13] = -0.941269, A[20,13] = 2.303692, A[44,13] = 0.518792, A[51,13] = -2.669190, A[66,13] = -2.574027, A[104,13] = -1.316426, A[121,13] = -4.054131, A[124,13] = 1.336494, A[136,13] = 0.927319, A[140,13] = 2.923731, A[145,13] = 1.673475, A[150,13] = 0.374602, A[152,13] = 1.765754, A[157,13] = 3.237769, A[169,13] = 1.894785, A[176,13] = -3.149051, A[179,13] = 5.893038, A[182,13] = -3.809042, A[183,13] = -1.038903, norm col = 11.399134
Col 14: A[28,14] = -2.480515, A[33,14] = 2.420118, A[35,14] = -0.585907, A[43,14] = -2.088998, A[64,14] = -0.861716, A[66,14] = 4.749422, A[70,14] = -0.882725, A[78,14] = 0.468993, A[93,14] = -1.711870, A[124,14] = -1.506838, A[126,14] = -1.312899, A[130,14] = -0.810912, A[137,14] = -0.418519, A[140,14] = 3.815813, A[153,14] = -1.037836, A[158,14] = -5.996335, A[172,14] = 1.636400, norm col = 10.151095
Col 15: A[0,15] = -0.784276, A[9,15] = -4.219006, A[10,15] = 2.338492, A[11,15] = 2.058649, A[34,15] = -0.063351, A[43,15] = -1.509737, A[50,15] = -2.342329, A[66,15] = 2.944511, A[87,15] = -2.443828, A[91,15] = -5.912498, A[100,15] = -0.926129, A[118,15] = 2.716179, A[122,15] = 1.656252, A[128,15] = -1.586858, A[130,15] = -4.297085, A[137,15] = 2.158151, A[141,15] = -0.919006, A[143,15] = -0.973467, A[157,15] = -0.188829, A[164,15] = 2.231146, A[172,15] = 4.573057, norm col = 12.240486
Col 16: A[3,16] = -4.438201, A[7,16] = -4.434770, A[10,16] = 4.428260, A[22,16] = 4.398447, A[54,16] = 3.518563, A[65,16] = 3.640321, A[100,16] = -5.854448, A[108,16] = 2.916341, A[110,16] = -0.869119, A[127,16] = -1.667860, A[128,16] = 4.095935, A[129,16] = 0.659818, A[131,16] = 3.873237, A[135,16] = 3.180438, A[156,16] = -1.503154, A[160,16] = 0.616786, A[168,16] = -2.781950, A[178,16] = -4.406616, norm col = 14.912954
Col 17: A[17,17] = 4.158497, A[18,17] = 3.924196, A[31,17] = 3.280238, A[32,17] = 4.010242, A[37,17] = 0.451448, A[40,17] = 3.334107, A[41,17] = 0.248584, A[54,17] = 0.584056, A[57,17] = 2.221101, A[61,17] = -2.086912, A[64,17] = -2.639696, A[67,17] = 1.717104, A[72,17] = 0.176228, A[75,17] = 4.484335, A[78,17] = -4.830439, A[87,17] = 0.500872, A[125,17] = 1.636535, A[135,17] = -1.508606, A[142,17] = -6.010462, A[152,17] = -0.906994, A[163,17] = 1.838506, A[169,17] = -2.634592, A[179,17] = -2.797814, A[181,17] = 0.489632, norm col = 13.945529
Col 18: A[4,18] = 4.419108, A[10,18] = -3.787759, A[12,18] = -2.353813, A[66,18] = 1.356267, A[67,18] = 5.649724, A[78,18] = 5.817643, A[86,18] = 2.933224, A[103,18] = 0.163654, A[104,18] = 3.760897, A[126,18] = 3.076175, A[132,18] = 5.561609, A[139,18] = -5.559220, A[145,18] = 0.884383, A[155,18] = -4.738486, A[163,18] = 1.994347, A[165,18] = -2.159594, A[166,18] = -0.167708, A[175,18] = 4.271823, norm col = 15.850783
Col 19: A[21,19] = -3.961919, A[26,19] = -1.788502, A[33,19] = -4.108766, A[44,19] = 1.284660, A[50,19] = -1.189051, A[67,19] = 3.798744, A[68,19] = -1.571130, A[86,19] = 2.538619, A[104,19] = -2.213135, A[106,19] = 1.646284, A[114,19] = -4.959036, A[119,19] = -0.946668, A[125,19] = 0.505964, A[133,19] = -1.233458, A[139,19] = 2.064566, A[147,19] = -1.477041, A[148,19] = -0.446787, A[163,19] = -2.536939, A[169,19] = 4.925310, A[173,19] = 0.557147, A[177,19] = 5.669795, A[178,19] = 4.510495, norm col = 13.682069
Col 20: A[54,20] = 0.791619, A[78,20] = 5.914141, A[84,20] = -5.661018, A[95,20] = -1.283377, A[98,20] = 2.004027, A[110,20] = -0.546258, A[159,20] = 3.908430, A[163,20] = 2.777484, A[164,20] = 2.954714, A[179,20] = 1.178138, norm col = 10.330586
Col 21: A[33,21] = 5.852229, A[43,21] = -3.182122, A[58,21] = -0.857625, A[71,21] = -0.396302, A[85,21] = 0.127871, A[101,21] = -0.912401, A[104,21] = 3.486682, A[110,21] = 0.327294, A[116,21] = -0.531157, A[118,21] = 0.435124, A[124,21] = -2.492086, A[129,21] = -0.473963, A[147,21] = -1.809743, A[151,21] = 2.465300, A[156,21] = 1.377869, A[158,21] = 0.232489, A[165,21] = -0.145806, A[167,21] = 0.110992, norm col = 8.753604
Col 22: A[2,22] = 3.691234, A[9,22] = 2.980702, A[14,22] = -4.215039, A[17,22] = 0.848746, A[47,22] = 0.534064, A[53,22] = -2.696290, A[56,22] = -0.043488, A[61,22] = 0.128287, A[76,22] = -4.283677, A[77,22] = -0.466247, A[95,22] = -5.914112, A[100,22] = -3.933194, A[104,22] = -3.899615, A[111,22] = -4.743231, A[113,22] = -0.631326, A[145,22] = 2.340814, A[146,22] = -0.556830, A[157,22] = -0.881201, A[173,22] = -3.317718, A[174,22] = -0.656777, norm col = 13.179252
Col 23: A[3,23] = -2.901036, A[18,23] = -4.270099, A[24,23] = 3.035907, A[27,23] = 1.762671, A[34,23] = -5.846970, A[38,23] = -2.336603, A[43,23] = 0.195513, A[50,23] = -0.889130, A[53,23] = 0.076527, A[57,23] = 3.038897, A[63,23] = 0.231089, A[100,23] = 2.164432, A[103,23] = -2.894563, A[109,23] = 2.134230, A[110,23] = -3.358487, A[117,23] = 0.004922, A[138,23] = -1.116691, A[147,23] = 4.286199, A[155,23] = 5.560276, A[156,23] = 3.342228, A[160,23] = -2.958847, A[163,23] = -2.937108, A[178,23] = -2.313123, norm col = 14.215429
Col 24: A[0,24] = -3.114408, A[7,24] = 2.870511, A[47,24] = -2.981981, A[70,24] = 5.913871, A[78,24] = -2.677372, A[104,24] = 5.363191, A[107,24] = 0.758595, A[113,24] = 3.087698, A[114,24] = 5.066878, A[116,24] = 0.168014, A[150,24] = 3.277493, A[182,24] = 0.686393, norm col = 12.031687
Col 25: A[14,25] = -1.583850, A[17,25] = -1.764230, A[19,25] = 0.456531, A[28,25] = -1.124572, A[31,25] = -0.569798, A[48,25] = 0.380518, A[56,25] = -1.519596, A[57,25] = -0.312877, A[64,25] = -0.813352, A[68,25] = -2.038720, A[81,25] = 5.916232, A[86,25] = 0.665507, A[93,25] = 0.712051, A[95,25] = 1.100684, A[99,25] = -0.444460, A[109,25] = -0.435713, A[123,25] = 0.350384, A[124,25] = 0.005134, A[130,25] = 0.903339, A[138,25] = 2.198476, A[147,25] = -2.556654, A[149,25] = 0.476953, A[172,25] = -2.083869, norm col = 8.319725
Col 26: A[0,26] = -2.698582, A[14,26] = -0.204179, A[16,26] = 4.341228, A[27,26] = 0.528746, A[29,26] = 0.903077, A[41,26] = -2.753734, A[49,26] = -5.746944, A[51,26] = 1.506146, A[52,26] = -0.550707, A[57,26] = -3.618197, A[64,26] = 1.572585, A[68,26] = 1.861237, A[79,26] = -0.856363, A[87,26] = 0.391288, A[113,26] = 5.828724, A[126,26] = -4.441392, A[143,26] = 0.950521, A[146,26] = -0.697870, A[150,26] = -0.104303, A[173,26] = -1.830235, A[177,26] = 0.823703, A[180,26] = 2.317751, norm col = 12.444445
Col 27: A[4,27] = -1.888349, A[6,27] = 1.075991, A[33,27] = 3.985570, A[37,27] = -0.166668, A[39,27] = 2.757018, A[49,27] = -1.993829, A[65,27] = 0.698490, A[66,27] = 4.041957, A[77,27] = -0.099557, A[87,27] = 1.289281, A[93,27] = -4.943472, A[97,27] = -1.580321, A[108,27] = -5.912556, A[114,27] = -4.191357, A[134,27] = 0.256045, A[149,27] = -1.530627, A[158,27] = -2.754168, A[166,27] = 0.458934, A[177,27] = 2.729568, A[178,27] = 2.878994, A[181,27] = 2.275400, norm col = 12.700090
Col 28: A[3,28] = -0.195458, A[4,28] = -0.164463, A[5,28] = -1.481423, A[16,28] = -0.706864, A[35,28] = 2.236800, A[51,28] = 0.927615, A[57,28] = -1.617528, A[74,28] = -5.061825, A[85,28] = -1.652866, A[99,28] = -0.162533, A[112,28] = -4.796235, A[116,28] = -5.346359, A[123,28] = 5.923328, A[133,28] = -1.827963, A[135,28] = 1.293607, A[150,28] = 0.041387, A[159,28] = 0.281648, norm col = 11.462516
Col 29: A[48,29] = 1.051693, A[55,29] = -0.926796, A[64,29] = 5.913041, A[70,29] = 1.743778, A[71,29] = 0.565971, A[73,29] = -5.347788, A[76,29] = -0.187866, A[83,29] = 0.794112, A[84,29] = 0.131907, A[118,29] = 0.749233, A[148,29] = 0.095615, A[181,29] = -1.536233, A[183,29] = 2.543559, A[184,29] = 2.396288, norm col = 9.204058
Col 30: A[8,30] = -4.215570, A[11,30] = -0.850783, A[28,30] = 0.394833, A[34,30] = -0.520454, A[70,30] = -2.439190, A[76,30] = -5.913838, A[79,30] = 0.096452, A[102,30] = -0.565485, A[114,30] = -0.155032, A[118,30] = 2.746172, A[137,30] = -3.711948, A[146,30] = -0.801885, A[149,30] = -1.530323, A[152,30] = -1.184533, A[174,30] = 4.326882, A[183,30] = 0.594098, norm col = 10.246012
Col 31: A[14,31] = -0.181334, A[16,31] = 2.494974, A[29,31] = -1.548781, A[30,31] = -2.350577, A[66,31] = 5.915110, A[83,31] = 0.786684, A[87,31] = -2.478446, A[92,31] = 2.933668, A[121,31] = -2.382291, A[132,31] = -3.087127, A[145,31] = -1.917741, norm col = 9.133543
Col 32: A[3,32] = -0.896971, A[12,32] = 4.375153, A[24,32] = -3.827449, A[40,32] = -4.358503, A[66,32] = 5.875427, A[80,32] = -0.875761, A[85,32] = -5.863226, A[106,32] = 1.944373, A[111,32] = 2.129100, A[112,32] = 1.711358, A[117,32] = -3.912118, A[127,32] = 3.631892, A[149,32] = -3.263673, A[154,32] = 1.017349, A[157,32] = 4.023785, A[161,32] = 1.727106, A[168,32] = -3.899747, A[171,32] = 3.343801, A[174,32] = -3.437181, A[175,32] = -3.864540, norm col = 15.716023
Col 33: A[16,33] = 0.398328, A[28,33] = -3.543189, A[33,33] = 5.840799, A[40,33] = -1.151420, A[45,33] = 1.481516, A[48,33] = -1.654163, A[59,33] = 0.094819, A[64,33] = 4.109788, A[66,33] = 5.492815, A[68,33] = -0.317056, A[75,33] = 2.208061, A[79,33] = -4.049584, A[90,33] = 0.169015, A[125,33] = -4.988517, A[146,33] = 1.469174, A[148,33] = -4.605441, A[170,33] = -2.897064, A[178,33] = 1.294603, A[182,33] = -2.937116, A[184,33] = 5.117838, norm col = 14.652664
Col 34: A[14,34] = 1.888169, A[19,34] = -1.157455, A[23,34] = -4.275707, A[51,34] = -3.883959, A[62,34] = -1.599676, A[81,34] = -2.861587, A[95,34] = -5.902125, A[113,34] = -1.668873, A[125,34] = -4.834814, A[132,34] = 2.401982, A[180,34] = 1.636714, norm col = 10.884086
Col 35: A[23,35] = -2.197209, A[27,35] = 1.240648, A[32,35] = 0.598823, A[50,35] = -0.433444, A[57,35] = 1.232506, A[71,35] = -5.459155, A[79,35] = 3.465298, A[93,35] = -3.422371, A[99,35] = -0.774816, A[105,35] = -5.914685, A[114,35] = 2.267532, A[115,35] = -2.336544, A[122,35] = -0.348045, A[133,35] = 3.746526, A[136,35] = -0.318583, A[139,35] = -0.068146, A[149,35] = 2.272672, A[158,35] = -0.483382, A[162,35] = -0.847358, A[180,35] = -1.325002, norm col = 11.413886
Col 36: A[0,36] = 3.868179, A[25,36] = 0.265226, A[31,36] = -0.325086, A[39,36] = 0.501534, A[45,36] = -1.409036, A[47,36] = -1.028308, A[67,36] = -4.178412, A[84,36] = -5.913596, A[98,36] = 5.774713, A[117,36] = 1.659958, A[124,36] = -4.397903, A[125,36] = 2.454708, A[133,36] = -0.236701, A[135,36] = 5.129307, A[157,36] = -1.450721, A[161,36] = -0.197082, A[170,36] = -2.099298, A[176,36] = 2.117994, A[178,36] = -2.421325, norm col = 13.251334
Col 37: A[11,37] = -4.378349, A[13,37] = 4.375887, A[17,37] = 2.601115, A[19,37] = 2.999561, A[23,37] = 2.644032, A[27,37] = 5.680018, A[28,37] = 3.825401, A[41,37] = -0.596544, A[54,37] = 2.179949, A[55,37] = -3.567019, A[59,37] = -2.158010, A[70,37] = 3.463687, A[71,37] = 4.315910, A[87,37] = -3.161019, A[89,37] = 2.009943, A[96,37] = -2.611254, A[103,37] = 3.682650, A[139,37] = 0.363708, A[156,37] = -1.155117, A[162,37] = 5.781772, A[170,37] = 2.773411, A[172,37] = -5.427167, A[175,37] = 0.147653, A[177,37] = -3.081545, norm col = 16.644915
Col 38: A[2,38] = 4.212754, A[16,38] = 1.833477, A[21,38] = 3.413570, A[40,38] = 0.898907, A[59,38] = -0.727009, A[72,38] = 5.913909, A[73,38] = -0.194265, A[76,38] = 0.323539, A[88,38] = 1.466662, A[95,38] = 5.445778, A[105,38] = -2.386921, A[111,38] = 2.457683, A[113,38] = -3.290706, A[142,38] = -2.367272, A[149,38] = -3.961802, A[154,38] = 3.398447, A[161,38] = -1.235313, A[177,38] = -3.567003, norm col = 13.064740
Col 39: A[5,39] = 2.246178, A[6,39] = 1.436730, A[8,39] = -1.706270, A[35,39] = -2.946065, A[36,39] = -2.212237, A[37,39] = -0.033508, A[53,39] = -3.747505, A[66,39] = 2.249657, A[75,39] = -2.582766, A[89,39] = -0.786640, A[92,39] = 1.088845, A[95,39] = 0.678537, A[96,39] = -1.628204, A[98,39] = 3.987898, A[101,39] = -5.915103, A[102,39] = -2.547757, A[105,39] = -3.064307, A[118,39] = -0.569779, A[134,39] = 3.468350, A[167,39] = -1.051834, norm col = 11.598268
Col 40: A[0,40] = -2.346567, A[12,40] = -0.884122, A[18,40] = -0.821058, A[36,40] = -5.176094, A[40,40] = -2.503700, A[44,40] = 2.657225, A[55,40] = -1.150615, A[66,40] = -5.914378, A[71,40] = 0.356134, A[112,40] = 0.241564, A[117,40] = 0.905427, A[124,40] = -2.041763, A[139,40] = 0.191553, A[147,40] = -3.326045, A[157,40] = -0.173960, A[160,40] = -2.546989, norm col = 10.304258
Col 41: A[25,41] = -2.724462, A[46,41] = 3.698479, A[50,41] = 3.155809, A[54,41] = 5.398816, A[59,41] = 0.252786, A[70,41] = 0.739939, A[72,41] = 0.794393, A[87,41] = 5.907219, A[91,41] = -1.441842, A[92,41] = 2.126436, A[113,41] = -2.412525, A[143,41] = 1.077878, A[163,41] = 4.497037, A[165,41] = 0.164879, A[169,41] = -1.123093, A[179,41] = -4.711519, norm col = 12.395100
Col 42: A[7,42] = 0.634718, A[20,42] = 4.244108, A[27,42] = 5.566162, A[31,42] = 1.554332, A[33,42] = -0.576483, A[37,42] = -0.092145, A[40,42] = -2.696218, A[53,42] = -2.544248, A[64,42] = 0.242723, A[73,42] = 3.502705, A[78,42] = 1.522705, A[86,42] = 5.907450, A[96,42] = 2.960005, A[101,42] = 2.810435, A[107,42] = -1.124123, A[112,42] = -0.292186, A[118,42] = 3.669198, A[120,42] = 5.419660, A[122,42] = 0.837484, A[123,42] = -1.599398, A[133,42] = -3.533089, A[141,42] = 2.035486, A[157,42] = -4.036142, A[182,42] = 1.004575, norm col = 14.610661
Col 43: A[1,43] = -1.379069, A[4,43] = 1.373375, A[15,43] = 0.611694, A[21,43] = -0.292538, A[25,43] = 0.845192, A[48,43] = 0.368396, A[58,43] = 2.345364, A[66,43] = 5.916919, A[69,43] = -2.095591, A[94,43] = -0.368859, A[106,43] = 2.774163, A[119,43] = 3.263694, A[151,43] = -0.222489, A[160,43] = 0.826705, A[181,43] = -1.222696, A[184,43] = 1.260034, norm col = 8.502900
Col 44: A[0,44] = 0.455603, A[33,44] = 1.511854, A[36,44] = 2.263208, A[38,44] = -0.213456, A[43,44] = -1.361310, A[68,44] = 2.430446, A[81,44] = 1.473098, A[82,44] = 2.525415, A[96,44] = 1.285305, A[103,44] = -2.964317, A[124,44] = 5.944018, A[148,44] = 1.866203, A[149,44] = 5.093809, A[154,44] = 0.319401, A[155,44] = 1.938550, A[169,44] = -2.805955, A[171,44] = 1.737887, norm col = 10.673457
Col 45: A[3,45] = -0.107460, A[20,45] = 3.354789, A[26,45] = -0.084454, A[33,45] = 5.851450, A[34,45] = 1.953618, A[47,45] = -0.209177, A[61,45] = 0.662621, A[66,45] = 1.288549, A[74,45] = -0.131233, A[75,45] = 1.024333, A[98,45] = 0.233493, A[102,45] = -0.792209, A[117,45] = -1.579371, A[149,45] = -0.640015, A[150,45] = -5.449223, A[155,45] = -4.969229, A[158,45] = 3.659243, A[162,45] = 1.433069, A[164,45] = 3.791325, A[165,45] = -1.031484, A[173,45] = 2.192821, A[183,45] = -1.534848, norm col = 12.188458
Col 46: A[4,46] = 1.464970, A[12,46] = 0.633296, A[13,46] = 2.473133, A[15,46] = -0.234908, A[26,46] = 2.023564, A[30,46] = -1.312429, A[47,46] = -0.974535, A[53,46] = 3.416166, A[61,46] = 1.760775, A[76,46] = -2.085834, A[84,46] = 0.591703, A[88,46] = -0.273511, A[96,46] = -2.118014, A[102,46] = 0.979762, A[105,46] = 5.914829, A[126,46] = -1.046464, A[138,46] = 3.711627, A[145,46] = 4.223785, A[166,46] = 0.071675, A[167,46] = 0.254002, A[170,46] = 1.557130, norm col = 10.519932
Col 47: A[0,47] = -4.208663, A[22,47] = 3.605766, A[29,47] = 0.815526, A[47,47] = 1.622443, A[55,47] = 3.371845, A[56,47] = -0.035651, A[58,47] = 4.014038, A[71,47] = -5.914848, A[94,47] = 3.244859, A[103,47] = -4.029603, A[138,47] = 0.720289, A[172,47] = 1.046337, A[174,47] = 0.677739, A[184,47] = -1.763474, norm col = 11.332694
Col 48: A[14,48] = -2.842441, A[19,48] = 2.995505, A[21,48] = -4.212812, A[29,48] = -1.527252, A[53,48] = -0.432713, A[82,48] = -2.241694, A[96,48] = 5.914156, A[102,48] = 1.461021, A[109,48] = 1.310321, A[116,48] = 0.775652, A[122,48] = -0.907212, A[135,48] = 3.250582, A[148,48] = 0.591126, A[154,48] = 3.425283, A[161,48] = -2.844646, A[169,48] = -4.072304, A[176,48] = -0.927146, A[179,48] = 0.357857, A[180,48] = 0.892831, A[182,48] = -0.108697, norm col = 11.476900
Col 49: A[1,49] = 0.647208, A[5,49] = -0.566757, A[18,49] = 1.986655, A[36,49] = 5.851358, A[39,49] = 1.219742, A[41,49] = -3.279696, A[43,49] = -1.323402, A[59,49] = 0.181478, A[73,49] = 0.413924, A[110,49] = 1.106858, A[114,49] = 2.151106, A[117,49] = 3.569262, A[120,49] = 4.840976, A[128,49] = -1.652656, A[129,49] = -1.297577, A[153,49] = -3.969585, A[166,49] = 3.856805, norm col = 11.410509
Col 50: A[8,50] = 2.220581, A[23,50] = 0.838273, A[32,50] = -2.238860, A[40,50] = 0.988018, A[44,50] = 4.551273, A[63,50] = -1.276097, A[78,50] = -3.022092, A[81,50] = 0.598336, A[83,50] = -2.179212, A[84,50] = 5.915701, A[91,50] = 3.067932, A[94,50] = -0.130160, A[101,50] = -2.779228, A[108,50] = 2.095517, A[109,50] = 0.337616, A[110,50] = 1.211858, A[122,50] = 0.323772, A[128,50] = 0.070792, A[132,50] = -2.907995, A[133,50] = 1.320852, A[149,50] = -1.835534, A[183,50] = 3.664948, norm col = 11.551597
Col 51: A[1,51] = -0.566512, A[18,51] = -0.563245, A[60,51] = 0.089067, A[82,51] = 0.178734, A[93,51] = -2.340107, A[101,51] = 3.373047, A[104,51] = 3.631470, A[114,51] = 3.590078, A[116,51] = -0.834216, A[125,51] = 0.452160, A[133,51] = -0.374156, A[139,51] = -3.343870, A[141,51] = 0.361319, A[147,51] = 0.189583, A[148,51] = -2.810679, A[152,51] = -1.873190, A[161,51] = 0.301788, A[166,51] = -5.887159, A[168,51] = 3.284190, A[173,51] = 2.109054, norm col = 10.834604
Col 52: A[1,52] = -1.639028, A[7,52] = 1.430705, A[12,52] = 0.900429, A[26,52] = 0.593305, A[30,52] = -0.163666, A[34,52] = 0.138198, A[43,52] = 0.491629, A[46,52] = 0.233731, A[53,52] = -3.201626, A[55,52] = 0.245355, A[86,52] = 2.403327, A[87,52] = 3.432003, A[95,52] = 1.956143, A[103,52] = -3.471833, A[104,52] = 0.434409, A[106,52] = 2.523816, A[125,52] = 3.175008, A[126,52] = 0.622834, A[130,52] = 0.751363, A[135,52] = -5.910339, A[156,52] = 0.930095, A[174,52] = -0.780655, norm col = 10.197146
Col 53: A[27,53] = 2.304997, A[44,53] = 2.078633, A[54,53] = -5.644720, A[55,53] = 0.992543, A[63,53] = 5.232849, A[69,53] = -3.662841, A[98,53] = -4.204931, A[144,53] = 0.040056, A[163,53] = 0.982407, A[178,53] = -3.932843, A[179,53] = 5.869679, A[181,53] = 2.359440, norm col = 12.546568
Col 54: A[6,54] = 1.877178, A[18,54] = 2.367834, A[20,54] = -1.485632, A[42,54] = 5.357802, A[44,54] = -5.685187, A[62,54] = -0.929462, A[65,54] = 5.443250, A[73,54] = 2.207624, A[84,54] = 2.883211, A[99,54] = -1.061791, A[102,54] = 2.782979, A[114,54] = -3.100417, A[115,54] = 2.035902, A[124,54] = -4.733100, A[126,54] = -1.876739, A[128,54] = -0.158126, A[142,54] = -4.773579, A[146,54] = -1.335860, A[150,54] = -3.939630, A[153,54] = -5.843255, A[154,54] = 3.308678, A[158,54] = -2.861476, A[166,54] = -0.074359, A[177,54] = -0.593042, norm col = 16.073334
Col 55: A[4,55] = 0.073449, A[6,55] = 0.421279, A[12,55] = 2.668654, A[29,55] = -2.254267, A[40,55] = 1.833943, A[43,55] = -3.857557, A[48,55] = -2.720409, A[51,55] = -1.536879, A[53,55] = 2.092182, A[55,55] = 1.509411, A[87,55] = -5.912124, A[89,55] = 2.661733, A[124,55] = 4.686438, A[138,55] = 0.682719, A[141,55] = 2.958918, A[165,55] = -3.269563, A[170,55] = 1.888366, A[178,55] = -1.860577, A[184,55] = -2.371485, norm col = 11.983833
Col 56: A[5,56] = 4.301067, A[6,56] = 1.292208, A[15,56] = 4.303376, A[17,56] = 2.567300, A[22,56] = 1.944390, A[23,56] = 2.201705, A[38,56] = -5.842254, A[54,56] = -2.322851, A[57,56] = -4.302832, A[79,56] = -4.765293, A[110,56] = -0.623279, A[129,56] = 3.874810, A[134,56] = -4.469166, A[151,56] = 1.904400, A[167,56] = 3.669456, norm col = 13.679360
Col 57: A[6,57] = -4.236100, A[17,57] = -2.431198, A[19,57] = 1.426418, A[21,57] = -2.633379, A[27,57] = 0.280162, A[31,57] = -3.984504, A[60,57] = -5.688387, A[64,57] = -5.910784, A[76,57] = -1.799967, A[119,57] = 3.336428, A[135,57] = 1.772290, A[140,57] = -2.691997, A[141,57] = 0.983463, A[143,57] = -3.724214, A[157,57] = 2.122181, A[173,57] = -4.267007, A[174,57] = 3.016757, A[175,57] = -3.407058, A[177,57] = 1.042712, norm col = 14.148430
Col 58: A[4,58] = 1.266946, A[16,58] = 1.919919, A[17,58] = -1.673036, A[39,58] = 5.788195, A[53,58] = 1.462773, A[61,58] = -1.300103, A[69,58] = -1.992578, A[72,58] = -1.163423, A[82,58] = -1.927358, A[86,58] = -1.607163, A[89,58] = -0.470383, A[100,58] = 1.938393, A[104,58] = 2.393415, A[130,58] = -5.267379, A[139,58] = 5.103736, A[140,58] = 2.864462, A[175,58] = 2.175689, A[177,58] = 1.081859, norm col = 11.604082
Col 59: A[0,59] = -0.042728, A[11,59] = 0.524713, A[24,59] = 4.201696, A[34,59] = -3.082093, A[35,59] = 2.620484, A[46,59] = 0.406649, A[58,59] = -1.704934, A[66,59] = 2.722615, A[72,59] = -4.547145, A[74,59] = -0.641243, A[75,59] = 5.915778, A[76,59] = -0.436624, A[82,59] = -3.053846, A[88,59] = -1.591591, A[95,59] = -3.722358, A[111,59] = -1.800522, A[113,59] = -0.107643, A[175,59] = 0.059696, norm col = 11.403041
Col 60: A[3,60] = -0.468250, A[8,60] = 0.072557, A[33,60] = 5.852163, A[38,60] = 0.770212, A[44,60] = -0.089250, A[50,60] = 0.591737, A[70,60] = 1.652249, A[73,60] = -0.368386, A[90,60] = -0.777529, A[95,60] = 0.131387, A[97,60] = 0.593409, A[120,60] = -0.930681, A[146,60] = -3.936848, A[147,60] = 0.401040, A[151,60] = -1.052974, A[167,60] = 1.991563, A[181,60] = -5.019828, A[182,60] = -2.318253, norm col = 9.562274
norm A = 93.915032
D[0] = 0.401695, D[1] = 0.421839, D[2] = 0.251357, D[3] = 1.227985, D[4] = 0.898854, D[5] = 0.627819, D[6] = 0.906531, D[7] = 1.107768, D[8] = 0.480210, D[9] = 0.292681,
D[10] = 0.690565, D[11] = 0.811267, D[12] = 1.093495, D[13] = 0.466669, D[14] = 0.600587, D[15] = 1.087056, D[16] = 0.724810, D[17] = 0.604965, D[18] = 0.542440, D[19] = 0.886984,
D[20] = 0.345818, D[21] = 0.374477, D[22] = 0.607718, D[23] = 0.753427, D[24] = 0.314549, D[25] = 0.661890, D[26] = 0.661890, D[27] = 0.661890, D[28] = 0.661890, D[29] = 0.661890,
D[30] = 0.563118, D[31] = 0.563118, D[32] = 0.563118, D[33] = 0.563118, D[34] = 0.563118, D[35] = 0.563118, D[36] = 0.563118, D[37] = 0.563118, D[38] = 0.563118, D[39] = 0.563118,
D[40] = 0.739022, D[41] = 0.657088, D[42] = 0.657088, D[43] = 0.657088, D[44] = 0.657088, D[45] = 0.657088, D[46] = 0.657088, D[47] = 0.707935, D[48] = 0.707935, D[49] = 0.707935,
D[50] = 0.707935, D[51] = 0.707935, D[52] = 0.707935, D[53] = 0.707935, D[54] = 0.707935, D[55] = 0.707935, D[56] = 0.707935, D[57] = 0.980968, D[58] = 0.522508, D[59] = 0.522508,
D[60] = 0.522508, D[61] = 0.522508, D[62] = 0.522508, D[63] = 0.522508, D[64] = 0.522508, D[65] = 0.522508, D[66] = 0.522508, D[67] = 0.522508, D[68] = 0.522508, D[69] = 0.522508,
D[70] = 0.522508, D[71] = 0.522508, D[72] = 0.522508, D[73] = 0.522508, D[74] = 0.522508, D[75] = 0.522508, D[76] = 0.522508, D[77] = 0.522508, D[78] = 0.522508, D[79] = 0.522508,
D[80] = 0.522508, D[81] = 0.522508, D[82] = 0.522508, D[83] = 0.522508, D[84] = 0.522508, D[85] = 0.522508, D[86] = 0.522508, D[87] = 0.522508, D[88] = 0.522508, D[89] = 0.522508,
D[90] = 0.522508, D[91] = 0.522508, D[92] = 0.522508, D[93] = 0.522508, D[94] = 0.522508, D[95] = 0.522508, D[96] = 0.522508, D[97] = 0.522508, D[98] = 0.522508, D[99] = 0.522508,
D[100] = 0.522508, D[101] = 0.522508, D[102] = 0.522508, D[103] = 0.522508, D[104] = 0.522508, D[105] = 0.522508, D[106] = 0.522508, D[107] = 0.522508, D[108] = 0.522508, D[109] = 0.522508,
D[110] = 0.522508, D[111] = 0.522508, D[112] = 0.522508, D[113] = 0.600049, D[114] = 0.600049, D[115] = 0.600049, D[116] = 0.884826, D[117] = 0.884826, D[118] = 0.884826, D[119] = 0.536383,
D[120] = 0.536383, D[121] = 0.536383, D[122] = 0.497668, D[123] = 0.497668, D[124] = 0.497668, D[125] = 0.851339, D[126] = 0.851339, D[127] = 0.851339, D[128] = 0.873239, D[129] = 0.873239,
D[130] = 0.873239, D[131] = 0.687119, D[132] = 0.687119, D[133] = 0.687119, D[134] = 0.373166, D[135] = 0.373166, D[136] = 0.373166, D[137] = 0.363758, D[138] = 0.363758, D[139] = 0.363758,
D[140] = 0.548658, D[141] = 0.548658, D[142] = 0.548658, D[143] = 0.478301, D[144] = 0.478301, D[145] = 0.478301, D[146] = 0.481375, D[147] = 0.481375, D[148] = 0.481375, D[149] = 0.515478,
D[150] = 0.515478, D[151] = 0.515478, D[152] = 0.561181, D[153] = 0.561181, D[154] = 0.561181, D[155] = 0.604763, D[156] = 0.604763, D[157] = 0.604763, D[158] = 0.522631, D[159] = 0.522631,
D[160] = 0.522631, D[161] = 0.661450, D[162] = 0.661450, D[163] = 0.661450, D[164] = 0.607514, D[165] = 0.607514, D[166] = 0.607514, D[167] = 0.661042, D[168] = 0.661042, D[169] = 0.661042,
D[170] = 0.521844, D[171] = 0.521844, D[172] = 0.521844, D[173] = 0.768923, D[174] = 0.768923, D[175] = 0.768923, D[176] = 0.819052, D[177] = 0.819052, D[178] = 0.819052, D[179] = 0.590933,
D[180] = 0.590933, D[181] = 0.590933, D[182] = 0.636689, D[183] = 0.636689, D[184] = 0.636689,
SCS(norm) D = 8.402009
E[0] = 4.350703, E[1] = 2.772390, E[2] = 2.499196, E[3] = 2.773271, E[4] = 3.069181, E[5] = 3.929076, E[6] = 2.878828, E[7] = 3.241686, E[8] = 2.203413, E[9] = 1.733038,
E[10] = 2.687922, E[11] = 3.105203, E[12] = 3.280664, E[13] = 3.250432, E[14] = 4.768247, E[15] = 3.497515, E[16] = 1.569409, E[17] = 3.389591, E[18] = 2.269619, E[19] = 2.231655,
E[20] = 2.946268, E[21] = 3.887451, E[22] = 2.931617, E[23] = 2.464543, E[24] = 2.893676, E[25] = 4.229684, E[26] = 2.601172, E[27] = 2.239748, E[28] = 2.789336, E[29] = 2.435809,
E[30] = 3.010588, E[31] = 3.483962, E[32] = 1.564079, E[33] = 3.020713, E[34] = 1.693445, E[35] = 3.236803, E[36] = 2.681252, E[37] = 1.834175, E[38] = 2.830509, E[39] = 3.479515,
E[40] = 3.069912, E[41] = 2.849973, E[42] = 2.288904, E[43] = 4.763470, E[44] = 4.309479, E[45] = 3.392398, E[46] = 3.318992, E[47] = 3.329470, E[48] = 2.953903, E[49] = 3.338489,
E[50] = 3.858933, E[51] = 3.083954, E[52] = 3.586943, E[53] = 2.294048, E[54] = 3.193376, E[55] = 2.078553, E[56] = 2.130290, E[57] = 2.360489, E[58] = 3.066750, E[59] = 3.910895,
E[60] = 3.843022,
SCS(norm) E = 24.093122
init_cone
BLAS(func) = 'dfunc_'
init_cone complete
getting pre-conditioner
finished getting pre-conditioner
scs/linsys/gpu/indirect/private.c:270:scs_init_lin_sys_work
ERROR_CUDA: no CUDA-capable device is detected
ERROR: init_lin_sys_work failure
Setup time: 1.01e-01s
size of scs_int = 4, size of scs_float = 8
Failure:could not initialize work
----------------------------- Captured stderr call -----------------------------
** On entry to cusparseCreateCsr() parameter number 5 (csrRowOffsets) had an illegal value: NULL pointer
** On entry to cusparseCreateDnVec() parameter number 3 (values) had an illegal value: NULL pointer
** On entry to cusparseCreateDnVec() parameter number 3 (values) had an illegal value: NULL pointer
** On entry to cusparseCreateCsr() parameter number 5 (csrRowOffsets) had an illegal value: NULL pointer
_______________________ test_solve_infeasible[True-True] _______________________
use_indirect = True, gpu = True
@pytest.mark.parametrize('use_indirect,gpu', flags)
def test_solve_infeasible(use_indirect, gpu):
data = tools.gen_infeasible(K, n=m // 3)
sol = scs.solve(data, K, use_indirect=use_indirect, gpu=gpu, **params)
y = sol['y']
> np.testing.assert_array_less(np.linalg.norm(data['A'].T @ y), 1e-3)
E AssertionError:
E Arrays are not less-ordered
E
E x and y nan location mismatch:
E x: array(nan)
E y: array(0.001)
test/test_solve_random_cone_prob.py:71: AssertionError
----------------------------- Captured stdout call -----------------------------
m = 185
n = 61
max_iters = 5000
verbose = 1
normalize = 1
warm_start = 0
acceleration_lookback = 10
eps = 0.000010
alpha = 1.500000
rho_x = 0.001000
cg_rate = 2.000000
scale = 5.000000
write_data_filename = (null)
num zeros = 10
num LP = 15
num SOCs = 4
soc array:
5
10
0
1
num SDCs = 6
sdc array:
3
4
0
0
1
10
num ep = 10
num ed = 10
num PCs = 4
pow array:
-0.250000
0.500000
0.750000
-0.330000
----------------------------------------------------------------------------
SCS v2.1.4 - Splitting Conic Solver
(c) Brendan O'Donoghue, Stanford University, 2012
----------------------------------------------------------------------------
Lin-sys: sparse-indirect GPU, nnz in A = 11285, CG tol ~ 1/iter^(2.00)
eps = 1.00e-05, alpha = 1.50, max_iters = 5000, normalize = 1, scale = 5.00
acceleration_lookback = 10, rho_x = 1.00e-03
Variables n = 61, constraints m = 185
Cones: primal zero / dual free vars: 10
linear vars: 15
soc vars: 16, soc blks: 4
sd vars: 72, sd blks: 6
exp vars: 30, dual exp vars: 30
primal + dual power vars: 12
normalizing A
finished normalizing A, time: 1.45e-03s
D[0] = 1.183534, D[1] = 1.370542, D[2] = 1.431709, D[3] = 1.631556, D[4] = 1.046960, D[5] = 1.311706, D[6] = 1.250508, D[7] = 1.422242, D[8] = 1.254015, D[9] = 1.243046,
D[10] = 1.248306, D[11] = 1.016429, D[12] = 1.087661, D[13] = 1.136307, D[14] = 1.006371, D[15] = 1.155372, D[16] = 1.371238, D[17] = 1.309417, D[18] = 1.156105, D[19] = 1.482529,
D[20] = 1.442847, D[21] = 1.451075, D[22] = 1.211627, D[23] = 1.288849, D[24] = 1.273002, D[25] = 1.412843, D[26] = 1.412843, D[27] = 1.412843, D[28] = 1.412843, D[29] = 1.412843,
D[30] = 1.106260, D[31] = 1.106260, D[32] = 1.106260, D[33] = 1.106260, D[34] = 1.106260, D[35] = 1.106260, D[36] = 1.106260, D[37] = 1.106260, D[38] = 1.106260, D[39] = 1.106260,
D[40] = 1.258556, D[41] = 1.227933, D[42] = 1.227933, D[43] = 1.227933, D[44] = 1.227933, D[45] = 1.227933, D[46] = 1.227933, D[47] = 1.282905, D[48] = 1.282905, D[49] = 1.282905,
D[50] = 1.282905, D[51] = 1.282905, D[52] = 1.282905, D[53] = 1.282905, D[54] = 1.282905, D[55] = 1.282905, D[56] = 1.282905, D[57] = 1.397471, D[58] = 1.239665, D[59] = 1.239665,
D[60] = 1.239665, D[61] = 1.239665, D[62] = 1.239665, D[63] = 1.239665, D[64] = 1.239665, D[65] = 1.239665, D[66] = 1.239665, D[67] = 1.239665, D[68] = 1.239665, D[69] = 1.239665,
D[70] = 1.239665, D[71] = 1.239665, D[72] = 1.239665, D[73] = 1.239665, D[74] = 1.239665, D[75] = 1.239665, D[76] = 1.239665, D[77] = 1.239665, D[78] = 1.239665, D[79] = 1.239665,
D[80] = 1.239665, D[81] = 1.239665, D[82] = 1.239665, D[83] = 1.239665, D[84] = 1.239665, D[85] = 1.239665, D[86] = 1.239665, D[87] = 1.239665, D[88] = 1.239665, D[89] = 1.239665,
D[90] = 1.239665, D[91] = 1.239665, D[92] = 1.239665, D[93] = 1.239665, D[94] = 1.239665, D[95] = 1.239665, D[96] = 1.239665, D[97] = 1.239665, D[98] = 1.239665, D[99] = 1.239665,
D[100] = 1.239665, D[101] = 1.239665, D[102] = 1.239665, D[103] = 1.239665, D[104] = 1.239665, D[105] = 1.239665, D[106] = 1.239665, D[107] = 1.239665, D[108] = 1.239665, D[109] = 1.239665,
D[110] = 1.239665, D[111] = 1.239665, D[112] = 1.239665, D[113] = 1.318662, D[114] = 1.318662, D[115] = 1.318662, D[116] = 1.330200, D[117] = 1.330200, D[118] = 1.330200, D[119] = 1.359772,
D[120] = 1.359772, D[121] = 1.359772, D[122] = 1.222540, D[123] = 1.222540, D[124] = 1.222540, D[125] = 1.158085, D[126] = 1.158085, D[127] = 1.158085, D[128] = 1.336272, D[129] = 1.336272,
D[130] = 1.336272, D[131] = 1.394267, D[132] = 1.394267, D[133] = 1.394267, D[134] = 1.380682, D[135] = 1.380682, D[136] = 1.380682, D[137] = 1.157797, D[138] = 1.157797, D[139] = 1.157797,
D[140] = 1.136272, D[141] = 1.136272, D[142] = 1.136272, D[143] = 1.393197, D[144] = 1.393197, D[145] = 1.393197, D[146] = 1.195598, D[147] = 1.195598, D[148] = 1.195598, D[149] = 1.245097,
D[150] = 1.245097, D[151] = 1.245097, D[152] = 1.122532, D[153] = 1.122532, D[154] = 1.122532, D[155] = 1.230715, D[156] = 1.230715, D[157] = 1.230715, D[158] = 1.124209, D[159] = 1.124209,
D[160] = 1.124209, D[161] = 1.177480, D[162] = 1.177480, D[163] = 1.177480, D[164] = 1.146771, D[165] = 1.146771, D[166] = 1.146771, D[167] = 1.265464, D[168] = 1.265464, D[169] = 1.265464,
D[170] = 1.143717, D[171] = 1.143717, D[172] = 1.143717, D[173] = 1.119358, D[174] = 1.119358, D[175] = 1.119358, D[176] = 1.259513, D[177] = 1.259513, D[178] = 1.259513, D[179] = 1.222827,
D[180] = 1.222827, D[181] = 1.222827, D[182] = 0.985631, D[183] = 0.985631, D[184] = 0.985631,
SCS(norm) D = 16.905203
E[0] = 2.055285, E[1] = 1.743654, E[2] = 2.246801, E[3] = 2.224429, E[4] = 2.563236, E[5] = 2.601782, E[6] = 2.304612, E[7] = 1.992822, E[8] = 2.305926, E[9] = 2.647288,
E[10] = 2.017846, E[11] = 2.024143, E[12] = 2.096105, E[13] = 2.421522, E[14] = 2.801901, E[15] = 1.909891, E[16] = 2.208130, E[17] = 2.345051, E[18] = 1.832727, E[19] = 2.025244,
E[20] = 2.632973, E[21] = 2.502085, E[22] = 2.401170, E[23] = 2.004016, E[24] = 1.981517, E[25] = 1.917554, E[26] = 1.916246, E[27] = 2.457070, E[28] = 2.010062, E[29] = 1.997175,
E[30] = 2.445244, E[31] = 2.514225, E[32] = 1.869859, E[33] = 2.279780, E[34] = 2.162568, E[35] = 2.095279, E[36] = 2.171196, E[37] = 2.761104, E[38] = 2.706920, E[39] = 2.081358,
E[40] = 2.033307, E[41] = 2.067479, E[42] = 1.901206, E[43] = 2.239490, E[44] = 2.375592, E[45] = 2.587518, E[46] = 2.156844, E[47] = 1.830430, E[48] = 2.578381, E[49] = 2.005637,
E[50] = 1.971703, E[51] = 1.878357, E[52] = 2.050370, E[53] = 1.936923, E[54] = 1.883112, E[55] = 2.258046, E[56] = 1.874007, E[57] = 1.807321, E[58] = 2.047031, E[59] = 2.118864,
E[60] = 1.975957,
SCS(norm) E = 17.139799
init_cone
BLAS(func) = 'dfunc_'
init_cone complete
getting pre-conditioner
finished getting pre-conditioner
scs/linsys/gpu/indirect/private.c:270:scs_init_lin_sys_work
ERROR_CUDA: no CUDA-capable device is detected
ERROR: init_lin_sys_work failure
Setup time: 2.69e-03s
size of scs_int = 4, size of scs_float = 8
Failure:could not initialize work
----------------------------- Captured stderr call -----------------------------
** On entry to cusparseCreateDnVec() parameter number 3 (values) had an illegal value: NULL pointer
** On entry to cusparseCreateDnVec() parameter number 3 (values) had an illegal value: NULL pointer
_______________________ test_solve_unbounded[True-True] ________________________
use_indirect = True, gpu = True
@pytest.mark.parametrize('use_indirect,gpu', flags)
def test_solve_unbounded(use_indirect, gpu):
data = tools.gen_unbounded(K, n=m // 3)
sol = scs.solve(data, K, use_indirect=use_indirect, gpu=gpu, **params)
x = sol['x']
s = sol['s']
> np.testing.assert_array_less(np.linalg.norm(data['A'] @ x + s), 1e-3)
E AssertionError:
E Arrays are not less-ordered
E
E x and y nan location mismatch:
E x: array(nan)
E y: array(0.001)
test/test_solve_random_cone_prob.py:82: AssertionError
----------------------------- Captured stdout call -----------------------------
m = 185
n = 61
max_iters = 5000
verbose = 1
normalize = 1
warm_start = 0
acceleration_lookback = 10
eps = 0.000010
alpha = 1.500000
rho_x = 0.001000
cg_rate = 2.000000
scale = 5.000000
write_data_filename = (null)
num zeros = 10
num LP = 15
num SOCs = 4
soc array:
5
10
0
1
num SDCs = 6
sdc array:
3
4
0
0
1
10
num ep = 10
num ed = 10
num PCs = 4
pow array:
-0.250000
0.500000
0.750000
-0.330000
----------------------------------------------------------------------------
SCS v2.1.4 - Splitting Conic Solver
(c) Brendan O'Donoghue, Stanford University, 2012
----------------------------------------------------------------------------
Lin-sys: sparse-indirect GPU, nnz in A = 11285, CG tol ~ 1/iter^(2.00)
eps = 1.00e-05, alpha = 1.50, max_iters = 5000, normalize = 1, scale = 5.00
acceleration_lookback = 10, rho_x = 1.00e-03
Variables n = 61, constraints m = 185
Cones: primal zero / dual free vars: 10
linear vars: 15
soc vars: 16, soc blks: 4
sd vars: 72, sd blks: 6
exp vars: 30, dual exp vars: 30
primal + dual power vars: 12
normalizing A
finished normalizing A, time: 1.45e-03s
D[0] = 1.353750, D[1] = 1.627024, D[2] = 1.335439, D[3] = 1.301090, D[4] = 1.403465, D[5] = 1.570603, D[6] = 1.178440, D[7] = 1.187784, D[8] = 1.226702, D[9] = 1.543382,
D[10] = 1.361460, D[11] = 1.276433, D[12] = 1.459870, D[13] = 1.709492, D[14] = 1.423891, D[15] = 1.201064, D[16] = 1.406837, D[17] = 1.161674, D[18] = 1.178530, D[19] = 1.001726,
D[20] = 1.138195, D[21] = 1.262308, D[22] = 1.401928, D[23] = 1.161867, D[24] = 1.116094, D[25] = 1.269768, D[26] = 1.269768, D[27] = 1.269768, D[28] = 1.269768, D[29] = 1.269768,
D[30] = 1.309759, D[31] = 1.309759, D[32] = 1.309759, D[33] = 1.309759, D[34] = 1.309759, D[35] = 1.309759, D[36] = 1.309759, D[37] = 1.309759, D[38] = 1.309759, D[39] = 1.309759,
D[40] = 1.127389, D[41] = 1.154943, D[42] = 1.154943, D[43] = 1.154943, D[44] = 1.154943, D[45] = 1.154943, D[46] = 1.154943, D[47] = 1.144639, D[48] = 1.144639, D[49] = 1.144639,
D[50] = 1.144639, D[51] = 1.144639, D[52] = 1.144639, D[53] = 1.144639, D[54] = 1.144639, D[55] = 1.144639, D[56] = 1.144639, D[57] = 1.425160, D[58] = 1.182433, D[59] = 1.182433,
D[60] = 1.182433, D[61] = 1.182433, D[62] = 1.182433, D[63] = 1.182433, D[64] = 1.182433, D[65] = 1.182433, D[66] = 1.182433, D[67] = 1.182433, D[68] = 1.182433, D[69] = 1.182433,
D[70] = 1.182433, D[71] = 1.182433, D[72] = 1.182433, D[73] = 1.182433, D[74] = 1.182433, D[75] = 1.182433, D[76] = 1.182433, D[77] = 1.182433, D[78] = 1.182433, D[79] = 1.182433,
D[80] = 1.182433, D[81] = 1.182433, D[82] = 1.182433, D[83] = 1.182433, D[84] = 1.182433, D[85] = 1.182433, D[86] = 1.182433, D[87] = 1.182433, D[88] = 1.182433, D[89] = 1.182433,
D[90] = 1.182433, D[91] = 1.182433, D[92] = 1.182433, D[93] = 1.182433, D[94] = 1.182433, D[95] = 1.182433, D[96] = 1.182433, D[97] = 1.182433, D[98] = 1.182433, D[99] = 1.182433,
D[100] = 1.182433, D[101] = 1.182433, D[102] = 1.182433, D[103] = 1.182433, D[104] = 1.182433, D[105] = 1.182433, D[106] = 1.182433, D[107] = 1.182433, D[108] = 1.182433, D[109] = 1.182433,
D[110] = 1.182433, D[111] = 1.182433, D[112] = 1.182433, D[113] = 1.213903, D[114] = 1.213903, D[115] = 1.213903, D[116] = 1.093872, D[117] = 1.093872, D[118] = 1.093872, D[119] = 1.289372,
D[120] = 1.289372, D[121] = 1.289372, D[122] = 1.075136, D[123] = 1.075136, D[124] = 1.075136, D[125] = 1.245883, D[126] = 1.245883, D[127] = 1.245883, D[128] = 1.185276, D[129] = 1.185276,
D[130] = 1.185276, D[131] = 1.141366, D[132] = 1.141366, D[133] = 1.141366, D[134] = 1.194276, D[135] = 1.194276, D[136] = 1.194276, D[137] = 1.226171, D[138] = 1.226171, D[139] = 1.226171,
D[140] = 1.432000, D[141] = 1.432000, D[142] = 1.432000, D[143] = 1.371073, D[144] = 1.371073, D[145] = 1.371073, D[146] = 1.184296, D[147] = 1.184296, D[148] = 1.184296, D[149] = 1.328445,
D[150] = 1.328445, D[151] = 1.328445, D[152] = 1.236474, D[153] = 1.236474, D[154] = 1.236474, D[155] = 1.175562, D[156] = 1.175562, D[157] = 1.175562, D[158] = 1.158307, D[159] = 1.158307,
D[160] = 1.158307, D[161] = 1.257845, D[162] = 1.257845, D[163] = 1.257845, D[164] = 1.095224, D[165] = 1.095224, D[166] = 1.095224, D[167] = 1.163686, D[168] = 1.163686, D[169] = 1.163686,
D[170] = 1.199529, D[171] = 1.199529, D[172] = 1.199529, D[173] = 1.180924, D[174] = 1.180924, D[175] = 1.180924, D[176] = 1.407954, D[177] = 1.407954, D[178] = 1.407954, D[179] = 1.258960,
D[180] = 1.258960, D[181] = 1.258960, D[182] = 1.094149, D[183] = 1.094149, D[184] = 1.094149,
SCS(norm) D = 16.675275
E[0] = 2.135624, E[1] = 1.972902, E[2] = 2.208984, E[3] = 2.380685, E[4] = 2.578894, E[5] = 2.405205, E[6] = 2.289317, E[7] = 2.448085, E[8] = 1.938521, E[9] = 1.916985,
E[10] = 1.937648, E[11] = 2.098564, E[12] = 2.293303, E[13] = 1.742247, E[14] = 2.442228, E[15] = 2.686900, E[16] = 2.572321, E[17] = 2.790448, E[18] = 2.384324, E[19] = 2.098271,
E[20] = 2.431458, E[21] = 2.475694, E[22] = 2.873479, E[23] = 2.630524, E[24] = 2.023392, E[25] = 2.766650, E[26] = 2.057839, E[27] = 2.566906, E[28] = 2.511538, E[29] = 1.828795,
E[30] = 2.265831, E[31] = 2.445125, E[32] = 2.503016, E[33] = 2.244322, E[34] = 2.582616, E[35] = 1.743396, E[36] = 2.158995, E[37] = 2.467828, E[38] = 2.597544, E[39] = 2.161679,
E[40] = 2.271838, E[41] = 2.054442, E[42] = 2.345564, E[43] = 2.624630, E[44] = 2.106582, E[45] = 1.679058, E[46] = 2.385561, E[47] = 1.697199, E[48] = 2.629697, E[49] = 2.553592,
E[50] = 2.606709, E[51] = 2.044493, E[52] = 1.820402, E[53] = 2.479520, E[54] = 2.062233, E[55] = 2.204598, E[56] = 1.752522, E[57] = 2.266827, E[58] = 2.129365, E[59] = 2.326036,
E[60] = 1.750291,
SCS(norm) E = 17.882210
init_cone
BLAS(func) = 'dfunc_'
init_cone complete
getting pre-conditioner
finished getting pre-conditioner
scs/linsys/gpu/indirect/private.c:270:scs_init_lin_sys_work
ERROR_CUDA: no CUDA-capable device is detected
ERROR: init_lin_sys_work failure
Setup time: 2.69e-03s
size of scs_int = 4, size of scs_float = 8
Failure:could not initialize work
----------------------------- Captured stderr call -----------------------------
** On entry to cusparseCreateDnVec() parameter number 3 (values) had an illegal value: NULL pointer
** On entry to cusparseCreateDnVec() parameter number 3 (values) had an illegal value: NULL pointer
=============================== warnings summary ===============================
test/test_scs_python_linsys.py::test_python_linsys
$PREFIX/lib/python3.9/site-packages/scipy/sparse/linalg/dsolve/linsolve.py:318: SparseEfficiencyWarning: splu requires CSC matrix format
warn('splu requires CSC matrix format', SparseEfficiencyWarning)
test/test_scs_python_linsys.py::test_python_linsys
$SRC_DIR/test/test_scs_python_linsys.py:102: RuntimeWarning: Mean of empty slice.
D[start:start+delta] = D[start:start+delta].mean()
test/test_scs_python_linsys.py::test_python_linsys
$PREFIX/lib/python3.9/site-packages/numpy/core/_methods.py:188: RuntimeWarning: invalid value encountered in double_scalars
ret = ret.dtype.type(ret / rcount)
-- Docs: https://docs.pytest.org/en/stable/warnings.html
=========================== short test summary info ============================
FAILED test/test_solve_random_cone_prob.py::test_solve_feasible[True-True] - ...
FAILED test/test_solve_random_cone_prob.py::test_solve_infeasible[True-True]
FAILED test/test_solve_random_cone_prob.py::test_solve_unbounded[True-True]
============= 3 failed, 24 passed, 3 warnings in 69.41s (0:01:09) ==============
For windows, the failures are more extensive for the GPU-less builds (interestingly, the test failures of windows + GPU are the same as under linux + GPU).
=========================== short test summary info ===========================
FAILED test/test_scs_sdp.py::test_feasible[False] - AssertionError:
FAILED test/test_scs_sdp.py::test_feasible[True] - AssertionError:
FAILED test/test_scs_sdp.py::test_infeasible[False] - AssertionError: assert ...
FAILED test/test_scs_sdp.py::test_infeasible[True] - AssertionError: assert '...
FAILED test/test_scs_sdp.py::test_unbounded[False] - AssertionError: assert '...
FAILED test/test_scs_sdp.py::test_unbounded[True] - AssertionError: assert 'F...
FAILED test/test_solve_random_cone_prob.py::test_solve_feasible[False-False]
FAILED test/test_solve_random_cone_prob.py::test_solve_feasible[True-False]
FAILED test/test_solve_random_cone_prob.py::test_solve_infeasible[False-False]
FAILED test/test_solve_random_cone_prob.py::test_solve_infeasible[True-False]
FAILED test/test_solve_random_cone_prob.py::test_solve_unbounded[False-False]
FAILED test/test_solve_random_cone_prob.py::test_solve_unbounded[True-False]
================== 12 failed, 12 passed, 3 warnings in 8.85s ==================
Details of test suite failures on windows
================================== FAILURES ===================================
____________________________ test_feasible[False] _____________________________
use_indirect = False
@pytest.mark.parametrize("use_indirect", [False, True])
def test_feasible(use_indirect):
for i in range(num_feas):
data, p_star = tools.gen_feasible(K, n=m // 3, density=0.1)
sol = scs.solve(data, K, use_indirect=use_indirect, **opts)
> assert_almost_equal(np.dot(data['c'], sol['x']), p_star, decimal=2)
E AssertionError:
E Arrays are not almost equal to 2 decimals
E ACTUAL: nan
E DESIRED: -1.4047363523107776
test\test_scs_sdp.py:82: AssertionError
---------------------------- Captured stdout call -----------------------------
FATAL: Cannot solve SDPs with > 2x2 matrices without linked blas+lapack libraries
Install blas+lapack and re-compile SCS with blas+lapack library locations
ERROR: init_cone failure
Failure:could not initialize work
_____________________________ test_feasible[True] _____________________________
use_indirect = True
@pytest.mark.parametrize("use_indirect", [False, True])
def test_feasible(use_indirect):
for i in range(num_feas):
data, p_star = tools.gen_feasible(K, n=m // 3, density=0.1)
sol = scs.solve(data, K, use_indirect=use_indirect, **opts)
> assert_almost_equal(np.dot(data['c'], sol['x']), p_star, decimal=2)
E AssertionError:
E Arrays are not almost equal to 2 decimals
E ACTUAL: nan
E DESIRED: -1.6214651965010063
test\test_scs_sdp.py:82: AssertionError
---------------------------- Captured stdout call -----------------------------
FATAL: Cannot solve SDPs with > 2x2 matrices without linked blas+lapack libraries
Install blas+lapack and re-compile SCS with blas+lapack library locations
ERROR: init_cone failure
Failure:could not initialize work
___________________________ test_infeasible[False] ____________________________
use_indirect = False
@pytest.mark.parametrize("use_indirect", [False, True])
def test_infeasible(use_indirect):
for i in range(num_infeas):
data = tools.gen_infeasible(K, n=m // 3)
sol = scs.solve(data, K, use_indirect=use_indirect, **opts)
> check_infeasible(sol)
test\test_scs_sdp.py:92:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test\test_scs_sdp.py:47: in check_infeasible
assert_(sol['info']['status'], 'Infeasible')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
str1 = 'Failure', str2 = 'Infeasible'
def assert_(str1, str2):
if (str1 != str2):
print('assert failure: %s != %s' % (str1, str2))
> assert str1 == str2
E AssertionError: assert 'Failure' == 'Infeasible'
E - Infeasible
E + Failure
test\test_scs_sdp.py:43: AssertionError
---------------------------- Captured stdout call -----------------------------
FATAL: Cannot solve SDPs with > 2x2 matrices without linked blas+lapack libraries
Install blas+lapack and re-compile SCS with blas+lapack library locations
ERROR: init_cone failure
Failure:could not initialize work
assert failure: Failure != Infeasible
____________________________ test_infeasible[True] ____________________________
use_indirect = True
@pytest.mark.parametrize("use_indirect", [False, True])
def test_infeasible(use_indirect):
for i in range(num_infeas):
data = tools.gen_infeasible(K, n=m // 3)
sol = scs.solve(data, K, use_indirect=use_indirect, **opts)
> check_infeasible(sol)
test\test_scs_sdp.py:92:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test\test_scs_sdp.py:47: in check_infeasible
assert_(sol['info']['status'], 'Infeasible')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
str1 = 'Failure', str2 = 'Infeasible'
def assert_(str1, str2):
if (str1 != str2):
print('assert failure: %s != %s' % (str1, str2))
> assert str1 == str2
E AssertionError: assert 'Failure' == 'Infeasible'
E - Infeasible
E + Failure
test\test_scs_sdp.py:43: AssertionError
---------------------------- Captured stdout call -----------------------------
FATAL: Cannot solve SDPs with > 2x2 matrices without linked blas+lapack libraries
Install blas+lapack and re-compile SCS with blas+lapack library locations
ERROR: init_cone failure
Failure:could not initialize work
assert failure: Failure != Infeasible
____________________________ test_unbounded[False] ____________________________
use_indirect = False
@pytest.mark.parametrize("use_indirect", [False, True])
def test_unbounded(use_indirect):
for i in range(num_unb):
data = tools.gen_unbounded(K, n=m // 2)
sol = scs.solve(data, K, use_indirect=use_indirect, **opts)
> check_unbounded(sol)
test\test_scs_sdp.py:101:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test\test_scs_sdp.py:51: in check_unbounded
assert_(sol['info']['status'], 'Unbounded')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
str1 = 'Failure', str2 = 'Unbounded'
def assert_(str1, str2):
if (str1 != str2):
print('assert failure: %s != %s' % (str1, str2))
> assert str1 == str2
E AssertionError: assert 'Failure' == 'Unbounded'
E - Unbounded
E + Failure
test\test_scs_sdp.py:43: AssertionError
---------------------------- Captured stdout call -----------------------------
FATAL: Cannot solve SDPs with > 2x2 matrices without linked blas+lapack libraries
Install blas+lapack and re-compile SCS with blas+lapack library locations
ERROR: init_cone failure
Failure:could not initialize work
assert failure: Failure != Unbounded
____________________________ test_unbounded[True] _____________________________
use_indirect = True
@pytest.mark.parametrize("use_indirect", [False, True])
def test_unbounded(use_indirect):
for i in range(num_unb):
data = tools.gen_unbounded(K, n=m // 2)
sol = scs.solve(data, K, use_indirect=use_indirect, **opts)
> check_unbounded(sol)
test\test_scs_sdp.py:101:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
test\test_scs_sdp.py:51: in check_unbounded
assert_(sol['info']['status'], 'Unbounded')
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
str1 = 'Failure', str2 = 'Unbounded'
def assert_(str1, str2):
if (str1 != str2):
print('assert failure: %s != %s' % (str1, str2))
> assert str1 == str2
E AssertionError: assert 'Failure' == 'Unbounded'
E - Unbounded
E + Failure
test\test_scs_sdp.py:43: AssertionError
---------------------------- Captured stdout call -----------------------------
FATAL: Cannot solve SDPs with > 2x2 matrices without linked blas+lapack libraries
Install blas+lapack and re-compile SCS with blas+lapack library locations
ERROR: init_cone failure
Failure:could not initialize work
assert failure: Failure != Unbounded
______________________ test_solve_feasible[False-False] _______________________
use_indirect = False, gpu = False
@pytest.mark.parametrize('use_indirect,gpu', flags)
def test_solve_feasible(use_indirect, gpu):
data, p_star = tools.gen_feasible(K, n=m // 3, density=0.1)
sol = scs.solve(data, K, use_indirect=use_indirect, gpu=gpu, **params)
x = sol['x']
y = sol['y']
s = sol['s']
> np.testing.assert_almost_equal(np.dot(data['c'], x), p_star, decimal=3)
E AssertionError:
E Arrays are not almost equal to 3 decimals
E ACTUAL: nan
E DESIRED: -12.397110172358182
test\test_solve_random_cone_prob.py:55: AssertionError
---------------------------- Captured stdout call -----------------------------
----------------------------------------------------------------------------
SCS v2.1.4 - Splitting Conic Solver
(c) Brendan O'Donoghue, Stanford University, 2012
----------------------------------------------------------------------------
Lin-sys: sparse-direct, nnz in A = 1128
eps = 1.00e-05, alpha = 1.50, max_iters = 5000, normalize = 1, scale = 5.00
acceleration_lookback = 0, rho_x = 1.00e-03
Variables n = 61, constraints m = 185
Cones: primal zero / dual free vars: 10
linear vars: 15
soc vars: 16, soc blks: 4
sd vars: 72, sd blks: 6
exp vars: 30, dual exp vars: 30
primal + dual power vars: 12
FATAL: Cannot solve SDPs with > 2x2 matrices without linked blas+lapack libraries
Install blas+lapack and re-compile SCS with blas+lapack library locations
ERROR: init_cone failure
Setup time: 2.82e-03s
Failure:could not initialize work
_______________________ test_solve_feasible[True-False] _______________________
use_indirect = True, gpu = False
@pytest.mark.parametrize('use_indirect,gpu', flags)
def test_solve_feasible(use_indirect, gpu):
data, p_star = tools.gen_feasible(K, n=m // 3, density=0.1)
sol = scs.solve(data, K, use_indirect=use_indirect, gpu=gpu, **params)
x = sol['x']
y = sol['y']
s = sol['s']
> np.testing.assert_almost_equal(np.dot(data['c'], x), p_star, decimal=3)
E AssertionError:
E Arrays are not almost equal to 3 decimals
E ACTUAL: nan
E DESIRED: -36.363218873493814
test\test_solve_random_cone_prob.py:55: AssertionError
---------------------------- Captured stdout call -----------------------------
----------------------------------------------------------------------------
SCS v2.1.4 - Splitting Conic Solver
(c) Brendan O'Donoghue, Stanford University, 2012
----------------------------------------------------------------------------
Lin-sys: sparse-indirect, nnz in A = 1128, CG tol ~ 1/iter^(2.00)
eps = 1.00e-05, alpha = 1.50, max_iters = 5000, normalize = 1, scale = 5.00
acceleration_lookback = 0, rho_x = 1.00e-03
Variables n = 61, constraints m = 185
Cones: primal zero / dual free vars: 10
linear vars: 15
soc vars: 16, soc blks: 4
sd vars: 72, sd blks: 6
exp vars: 30, dual exp vars: 30
primal + dual power vars: 12
FATAL: Cannot solve SDPs with > 2x2 matrices without linked blas+lapack libraries
Install blas+lapack and re-compile SCS with blas+lapack library locations
ERROR: init_cone failure
Setup time: 1.23e-03s
Failure:could not initialize work
_____________________ test_solve_infeasible[False-False] ______________________
use_indirect = False, gpu = False
@pytest.mark.parametrize('use_indirect,gpu', flags)
def test_solve_infeasible(use_indirect, gpu):
data = tools.gen_infeasible(K, n=m // 3)
sol = scs.solve(data, K, use_indirect=use_indirect, gpu=gpu, **params)
y = sol['y']
> np.testing.assert_array_less(np.linalg.norm(data['A'].T @ y), 1e-3)
E AssertionError:
E Arrays are not less-ordered
E
E x and y nan location mismatch:
E x: array(nan)
E y: array(0.001)
test\test_solve_random_cone_prob.py:71: AssertionError
---------------------------- Captured stdout call -----------------------------
----------------------------------------------------------------------------
SCS v2.1.4 - Splitting Conic Solver
(c) Brendan O'Donoghue, Stanford University, 2012
----------------------------------------------------------------------------
Lin-sys: sparse-direct, nnz in A = 11285
eps = 1.00e-05, alpha = 1.50, max_iters = 5000, normalize = 1, scale = 5.00
acceleration_lookback = 0, rho_x = 1.00e-03
Variables n = 61, constraints m = 185
Cones: primal zero / dual free vars: 10
linear vars: 15
soc vars: 16, soc blks: 4
sd vars: 72, sd blks: 6
exp vars: 30, dual exp vars: 30
primal + dual power vars: 12
FATAL: Cannot solve SDPs with > 2x2 matrices without linked blas+lapack libraries
Install blas+lapack and re-compile SCS with blas+lapack library locations
ERROR: init_cone failure
Setup time: 3.21e-03s
Failure:could not initialize work
______________________ test_solve_infeasible[True-False] ______________________
use_indirect = True, gpu = False
@pytest.mark.parametrize('use_indirect,gpu', flags)
def test_solve_infeasible(use_indirect, gpu):
data = tools.gen_infeasible(K, n=m // 3)
sol = scs.solve(data, K, use_indirect=use_indirect, gpu=gpu, **params)
y = sol['y']
> np.testing.assert_array_less(np.linalg.norm(data['A'].T @ y), 1e-3)
E AssertionError:
E Arrays are not less-ordered
E
E x and y nan location mismatch:
E x: array(nan)
E y: array(0.001)
test\test_solve_random_cone_prob.py:71: AssertionError
---------------------------- Captured stdout call -----------------------------
----------------------------------------------------------------------------
SCS v2.1.4 - Splitting Conic Solver
(c) Brendan O'Donoghue, Stanford University, 2012
----------------------------------------------------------------------------
Lin-sys: sparse-indirect, nnz in A = 11285, CG tol ~ 1/iter^(2.00)
eps = 1.00e-05, alpha = 1.50, max_iters = 5000, normalize = 1, scale = 5.00
acceleration_lookback = 0, rho_x = 1.00e-03
Variables n = 61, constraints m = 185
Cones: primal zero / dual free vars: 10
linear vars: 15
soc vars: 16, soc blks: 4
sd vars: 72, sd blks: 6
exp vars: 30, dual exp vars: 30
primal + dual power vars: 12
FATAL: Cannot solve SDPs with > 2x2 matrices without linked blas+lapack libraries
Install blas+lapack and re-compile SCS with blas+lapack library locations
ERROR: init_cone failure
Setup time: 3.50e-03s
Failure:could not initialize work
______________________ test_solve_unbounded[False-False] ______________________
use_indirect = False, gpu = False
@pytest.mark.parametrize('use_indirect,gpu', flags)
def test_solve_unbounded(use_indirect, gpu):
data = tools.gen_unbounded(K, n=m // 3)
sol = scs.solve(data, K, use_indirect=use_indirect, gpu=gpu, **params)
x = sol['x']
s = sol['s']
> np.testing.assert_array_less(np.linalg.norm(data['A'] @ x + s), 1e-3)
E AssertionError:
E Arrays are not less-ordered
E
E x and y nan location mismatch:
E x: array(nan)
E y: array(0.001)
test\test_solve_random_cone_prob.py:82: AssertionError
---------------------------- Captured stdout call -----------------------------
----------------------------------------------------------------------------
SCS v2.1.4 - Splitting Conic Solver
(c) Brendan O'Donoghue, Stanford University, 2012
----------------------------------------------------------------------------
Lin-sys: sparse-direct, nnz in A = 11285
eps = 1.00e-05, alpha = 1.50, max_iters = 5000, normalize = 1, scale = 5.00
acceleration_lookback = 0, rho_x = 1.00e-03
Variables n = 61, constraints m = 185
Cones: primal zero / dual free vars: 10
linear vars: 15
soc vars: 16, soc blks: 4
sd vars: 72, sd blks: 6
exp vars: 30, dual exp vars: 30
primal + dual power vars: 12
FATAL: Cannot solve SDPs with > 2x2 matrices without linked blas+lapack libraries
Install blas+lapack and re-compile SCS with blas+lapack library locations
ERROR: init_cone failure
Setup time: 3.19e-03s
Failure:could not initialize work
______________________ test_solve_unbounded[True-False] _______________________
use_indirect = True, gpu = False
@pytest.mark.parametrize('use_indirect,gpu', flags)
def test_solve_unbounded(use_indirect, gpu):
data = tools.gen_unbounded(K, n=m // 3)
sol = scs.solve(data, K, use_indirect=use_indirect, gpu=gpu, **params)
x = sol['x']
s = sol['s']
> np.testing.assert_array_less(np.linalg.norm(data['A'] @ x + s), 1e-3)
E AssertionError:
E Arrays are not less-ordered
E
E x and y nan location mismatch:
E x: array(nan)
E y: array(0.001)
test\test_solve_random_cone_prob.py:82: AssertionError
---------------------------- Captured stdout call -----------------------------
----------------------------------------------------------------------------
SCS v2.1.4 - Splitting Conic Solver
(c) Brendan O'Donoghue, Stanford University, 2012
----------------------------------------------------------------------------
Lin-sys: sparse-indirect, nnz in A = 11285, CG tol ~ 1/iter^(2.00)
eps = 1.00e-05, alpha = 1.50, max_iters = 5000, normalize = 1, scale = 5.00
acceleration_lookback = 0, rho_x = 1.00e-03
Variables n = 61, constraints m = 185
Cones: primal zero / dual free vars: 10
linear vars: 15
soc vars: 16, soc blks: 4
sd vars: 72, sd blks: 6
exp vars: 30, dual exp vars: 30
primal + dual power vars: 12
FATAL: Cannot solve SDPs with > 2x2 matrices without linked blas+lapack libraries
Install blas+lapack and re-compile SCS with blas+lapack library locations
ERROR: init_cone failure
Setup time: 3.29e-03s
Failure:could not initialize work
============================== warnings summary ===============================
test/test_scs_python_linsys.py::test_python_linsys
%PREFIX%\lib\site-packages\scipy\sparse\linalg\dsolve\linsolve.py:318: SparseEfficiencyWarning: splu requires CSC matrix format
warn('splu requires CSC matrix format', SparseEfficiencyWarning)
test/test_scs_python_linsys.py::test_python_linsys
%SRC_DIR%\test\test_scs_python_linsys.py:102: RuntimeWarning: Mean of empty slice.
D[start:start+delta] = D[start:start+delta].mean()
test/test_scs_python_linsys.py::test_python_linsys
%PREFIX%\lib\site-packages\numpy\core\_methods.py:188: RuntimeWarning: invalid value encountered in double_scalars
ret = ret.dtype.type(ret / rcount)
-- Docs: https://docs.pytest.org/en/stable/warnings.html
=========================== short test summary info ===========================
FAILED test/test_scs_sdp.py::test_feasible[False] - AssertionError:
FAILED test/test_scs_sdp.py::test_feasible[True] - AssertionError:
FAILED test/test_scs_sdp.py::test_infeasible[False] - AssertionError: assert ...
FAILED test/test_scs_sdp.py::test_infeasible[True] - AssertionError: assert '...
FAILED test/test_scs_sdp.py::test_unbounded[False] - AssertionError: assert '...
FAILED test/test_scs_sdp.py::test_unbounded[True] - AssertionError: assert 'F...
FAILED test/test_solve_random_cone_prob.py::test_solve_feasible[False-False]
FAILED test/test_solve_random_cone_prob.py::test_solve_feasible[True-False]
FAILED test/test_solve_random_cone_prob.py::test_solve_infeasible[False-False]
FAILED test/test_solve_random_cone_prob.py::test_solve_infeasible[True-False]
FAILED test/test_solve_random_cone_prob.py::test_solve_unbounded[False-False]
FAILED test/test_solve_random_cone_prob.py::test_solve_unbounded[True-False]
================== 12 failed, 12 passed, 3 warnings in 8.85s ==================