Upgrade cvxopt to 1.1.6 #12832

kiwifb · 2012-04-11T23:23:44Z

There are two doctests related to cvxopt failing on power7

sage -t --long -force_lib "devel/sage/doc/en/numerical_sage/cvxopt.rst"
**********************************************************************
File "/hpc/scratch/frb15/sandbox/sage-5.7.beta4/devel/sage/doc/en/numerical_sage/cvxopt.rst", line 129:
    sage: print sol['x']      # ... below since can get -00 or +00 depending on architecture
Expected:
    [ 1.00e...00]
    [ 1.00e+00]
Got:
    [ 9.87e-01]
    [ 9.92e-01]
    <BLANKLINE>
**********************************************************************

and

sage -t -long "devel/sage-main/sage/numerical/optimize.py"  
**********************************************************************
File "/hpc/scratch/frb15/sandbox/sage-5.7.beta4/devel/sage-main/sage/numerical/optimize.py", line 515:
    sage: sol['x']
Expected:
    (0.999..., 1.000...)
Got nothing
**********************************************************************
File "/hpc/scratch/frb15/sandbox/sage-5.7.beta4/devel/sage-main/sage/numerical/optimize.py", line 525:
    sage: sol['x']
Expected:
    (45.000000..., 6.2499999...3, 1.00000000...)
Got nothing
GLPK Simplex Optimizer, v4.44
6 rows, 3 columns, 8 non-zeros
Preprocessing...
2 rows, 2 columns, 4 non-zeros
Scaling...
 A: min|aij| =  2.400e+01  max|aij| =  5.000e+01  ratio =  2.083e+00
GM: min|aij| =  8.128e-01  max|aij| =  1.230e+00  ratio =  1.514e+00
EQ: min|aij| =  6.606e-01  max|aij| =  1.000e+00  ratio =  1.514e+00
Constructing initial basis...
Size of triangular part = 2
*     0: obj =  -5.100000000e+01  infeas =  0.000e+00 (0)
*     1: obj =  -5.225000000e+01  infeas =  0.000e+00 (0)
OPTIMAL SOLUTION FOUND
**********************************************************************

This is now solved in cvxopt 1.1.6. The updated cvxopt spkg also fixes a blas path issue on Darwin and Cygwin.

spkg: http://boxen.math.washington.edu/home/jdemeyer/spkg/cvxopt-1.1.6.p0.spkg (spkg diff)

Upstream: Fixed upstream, in a later stable release.

Component: packages: standard

Author: Jeroen Demeyer

Reviewer: Volker Braun

Merged: sage-5.10.beta4

Issue created by migration from https://trac.sagemath.org/ticket/12832

The text was updated successfully, but these errors were encountered:

kiwifb · 2012-04-11T23:29:14Z

comment:1

I think they may be both upstream problems. I have tried to run test on a stock scipy-0.10.0 on power7 and several results indicate that at least some of the problems are in scipy itself

ERROR: test_linear_1d (test_fitpack.TestUnivariateSpline)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/hpc/scratch/frb15/work/scipy-0.10.0/test/lib/python/scipy/interpolate/tests/test_fitpack.py", line 49, in test_linear_1d
    assert_array_almost_equal(lut([1,1.5,2]),[0,1,2])
  File "scipy/interpolate/fitpack2.py", line 221, in __call__
    return fitpack.splev(x, self._eval_args, der=nu)
  File "scipy/interpolate/fitpack.py", line 550, in splev
    raise ValueError("Invalid input data")
ValueError: Invalid input data

======================================================================
ERROR: test_linear_constant (test_fitpack.TestUnivariateSpline)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/hpc/scratch/frb15/work/scipy-0.10.0/test/lib/python/scipy/interpolate/tests/test_fitpack.py", line 29, in test_linear_constant
    assert_array_almost_equal(lut([1,1.5,2]),[3,3,3])
  File "scipy/interpolate/fitpack2.py", line 221, in __call__
    return fitpack.splev(x, self._eval_args, der=nu)
  File "scipy/interpolate/fitpack.py", line 550, in splev
    raise ValueError("Invalid input data")
ValueError: Invalid input data

======================================================================
ERROR: test_preserve_shape (test_fitpack.TestUnivariateSpline)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/hpc/scratch/frb15/work/scipy-0.10.0/test/lib/python/scipy/interpolate/tests/test_fitpack.py", line 36, in test_preserve_shape
    assert_equal(shape(arg), shape(lut(arg)))
  File "scipy/interpolate/fitpack2.py", line 221, in __call__
    return fitpack.splev(x, self._eval_args, der=nu)
  File "scipy/interpolate/fitpack.py", line 550, in splev
    raise ValueError("Invalid input data")
ValueError: Invalid input data

======================================================================
ERROR: Regression test for #1375.
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/hpc/scratch/frb15/work/scipy-0.10.0/test/lib/python/scipy/interpolate/tests/test_fitpack.py", line 82, in test_resize_regression
    assert_allclose(spl([0.1, 0.5, 0.9, 0.99]), desired, atol=5e-4)
  File "scipy/interpolate/fitpack2.py", line 221, in __call__
    return fitpack.splev(x, self._eval_args, der=nu)
  File "scipy/interpolate/fitpack.py", line 550, in splev
    raise ValueError("Invalid input data")
ValueError: Invalid input data

======================================================================
ERROR: Failure: AttributeError ('module' object has no attribute 'qhull')
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/local/pkg/python/version/lib/python2.7/site-packages/nose-1.1.2-py2.7.egg/nose/loader.py", line 390, in loadTestsFromName
    addr.filename, addr.module)
  File "/usr/local/pkg/python/version/lib/python2.7/site-packages/nose-1.1.2-py2.7.egg/nose/importer.py", line 39, in importFromPath
    return self.importFromDir(dir_path, fqname)
  File "/usr/local/pkg/python/version/lib/python2.7/site-packages/nose-1.1.2-py2.7.egg/nose/importer.py", line 86, in importFromDir
    mod = load_module(part_fqname, fh, filename, desc)
  File "/hpc/scratch/frb15/work/scipy-0.10.0/test/lib/python/scipy/interpolate/tests/test_interpnd.py", line 6, in <module>
    import scipy.spatial.qhull as qhull
AttributeError: 'module' object has no attribute 'qhull'

======================================================================
ERROR: test_interp2d (test_interpolate.TestInterp2D)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/hpc/scratch/frb15/work/scipy-0.10.0/test/lib/python/scipy/interpolate/tests/test_interpolate.py", line 14, in test_interp2d
    I = interp2d(x, y, z)
  File "scipy/interpolate/interpolate.py", line 160, in __init__
    self.tck = fitpack.bisplrep(self.x, self.y, self.z, kx=kx, ky=ky, s=0.)
  File "scipy/interpolate/fitpack.py", line 873, in bisplrep
    tx,ty,nxest,nyest,wrk,lwrk1,lwrk2)
ValueError: negative dimensions are not allowed

======================================================================
ERROR: test_interp2d_meshgrid_input (test_interpolate.TestInterp2D)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/hpc/scratch/frb15/work/scipy-0.10.0/test/lib/python/scipy/interpolate/tests/test_interpolate.py", line 25, in test_interp2d_meshgrid_input
    I = interp2d(x, y, z)
  File "scipy/interpolate/interpolate.py", line 160, in __init__
    self.tck = fitpack.bisplrep(self.x, self.y, self.z, kx=kx, ky=ky, s=0.)
  File "scipy/interpolate/fitpack.py", line 873, in bisplrep
    tx,ty,nxest,nyest,wrk,lwrk1,lwrk2)
ValueError: negative dimensions are not allowed

======================================================================
ERROR: test_construction (test_polyint.CheckPiecewise)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/hpc/scratch/frb15/work/scipy-0.10.0/test/lib/python/scipy/interpolate/tests/test_polyint.py", line 194, in setUp
    self.spline_ys = splev(self.test_xs, self.tck)
  File "scipy/interpolate/fitpack.py", line 550, in splev
    raise ValueError("Invalid input data")
ValueError: Invalid input data

======================================================================
ERROR: test_derivative (test_polyint.CheckPiecewise)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/hpc/scratch/frb15/work/scipy-0.10.0/test/lib/python/scipy/interpolate/tests/test_polyint.py", line 194, in setUp
    self.spline_ys = splev(self.test_xs, self.tck)
  File "scipy/interpolate/fitpack.py", line 550, in splev
    raise ValueError("Invalid input data")
ValueError: Invalid input data

======================================================================
ERROR: test_derivatives (test_polyint.CheckPiecewise)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/hpc/scratch/frb15/work/scipy-0.10.0/test/lib/python/scipy/interpolate/tests/test_polyint.py", line 194, in setUp
    self.spline_ys = splev(self.test_xs, self.tck)
  File "scipy/interpolate/fitpack.py", line 550, in splev
    raise ValueError("Invalid input data")
ValueError: Invalid input data

======================================================================
ERROR: test_incremental (test_polyint.CheckPiecewise)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/hpc/scratch/frb15/work/scipy-0.10.0/test/lib/python/scipy/interpolate/tests/test_polyint.py", line 194, in setUp
    self.spline_ys = splev(self.test_xs, self.tck)
  File "scipy/interpolate/fitpack.py", line 550, in splev
    raise ValueError("Invalid input data")
ValueError: Invalid input data

======================================================================
ERROR: test_scalar (test_polyint.CheckPiecewise)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/hpc/scratch/frb15/work/scipy-0.10.0/test/lib/python/scipy/interpolate/tests/test_polyint.py", line 194, in setUp
    self.spline_ys = splev(self.test_xs, self.tck)
  File "scipy/interpolate/fitpack.py", line 550, in splev
    raise ValueError("Invalid input data")
ValueError: Invalid input data

======================================================================
ERROR: test_shapes_scalarvalue (test_polyint.CheckPiecewise)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/hpc/scratch/frb15/work/scipy-0.10.0/test/lib/python/scipy/interpolate/tests/test_polyint.py", line 194, in setUp
    self.spline_ys = splev(self.test_xs, self.tck)
  File "scipy/interpolate/fitpack.py", line 550, in splev
    raise ValueError("Invalid input data")
ValueError: Invalid input data

======================================================================
ERROR: test_shapes_scalarvalue_derivative (test_polyint.CheckPiecewise)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/hpc/scratch/frb15/work/scipy-0.10.0/test/lib/python/scipy/interpolate/tests/test_polyint.py", line 194, in setUp
    self.spline_ys = splev(self.test_xs, self.tck)
  File "scipy/interpolate/fitpack.py", line 550, in splev
    raise ValueError("Invalid input data")
ValueError: Invalid input data

======================================================================
ERROR: test_shapes_vectorvalue (test_polyint.CheckPiecewise)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/hpc/scratch/frb15/work/scipy-0.10.0/test/lib/python/scipy/interpolate/tests/test_polyint.py", line 194, in setUp
    self.spline_ys = splev(self.test_xs, self.tck)
  File "scipy/interpolate/fitpack.py", line 550, in splev
    raise ValueError("Invalid input data")
ValueError: Invalid input data

======================================================================
ERROR: test_shapes_vectorvalue_1d (test_polyint.CheckPiecewise)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/hpc/scratch/frb15/work/scipy-0.10.0/test/lib/python/scipy/interpolate/tests/test_polyint.py", line 194, in setUp
    self.spline_ys = splev(self.test_xs, self.tck)
  File "scipy/interpolate/fitpack.py", line 550, in splev
    raise ValueError("Invalid input data")
ValueError: Invalid input data

======================================================================
ERROR: test_shapes_vectorvalue_derivative (test_polyint.CheckPiecewise)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/hpc/scratch/frb15/work/scipy-0.10.0/test/lib/python/scipy/interpolate/tests/test_polyint.py", line 194, in setUp
    self.spline_ys = splev(self.test_xs, self.tck)
  File "scipy/interpolate/fitpack.py", line 550, in splev
    raise ValueError("Invalid input data")
ValueError: Invalid input data

======================================================================
ERROR: test_vector (test_polyint.CheckPiecewise)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/hpc/scratch/frb15/work/scipy-0.10.0/test/lib/python/scipy/interpolate/tests/test_polyint.py", line 194, in setUp
    self.spline_ys = splev(self.test_xs, self.tck)
  File "scipy/interpolate/fitpack.py", line 550, in splev
    raise ValueError("Invalid input data")
ValueError: Invalid input data

======================================================================
ERROR: test_wrapper (test_polyint.CheckPiecewise)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/hpc/scratch/frb15/work/scipy-0.10.0/test/lib/python/scipy/interpolate/tests/test_polyint.py", line 194, in setUp
    self.spline_ys = splev(self.test_xs, self.tck)
  File "scipy/interpolate/fitpack.py", line 550, in splev
    raise ValueError("Invalid input data")
ValueError: Invalid input data

======================================================================
ERROR: Ticket #629
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/hpc/scratch/frb15/work/scipy-0.10.0/test/lib/python/scipy/interpolate/tests/test_regression.py", line 11, in test_spalde_scalar_input
    res = interp.spalde(np.float64(1), tck)
  File "scipy/interpolate/fitpack.py", line 724, in spalde
    raise TypeError("Invalid input data. t(k)<=x<=t(n-k+1) must hold.")
TypeError: Invalid input data. t(k)<=x<=t(n-k+1) must hold.

======================================================================

There are more error linked to failures to import modules which may be more related to the way test were run. As in the doctest a number of improper parameters or invalid data and negative dimensions problems.

zimmermann6 · 2012-05-14T13:02:16Z

comment:2

I investigated the first error in optimize.py:


c=vector(RDF,[-4,-5])
G=matrix(RDF,[[2,1],[1,2],[-1,0],[0,-1]])
h=vector(RDF,[3,3,0,0])
from cvxopt.base import matrix as m
from cvxopt import solvers
solvers.options['show_progress']=True
c_=m(c.base_extend(RDF).numpy())
G_=m(G.base_extend(RDF).numpy())
h_=m(h.base_extend(RDF).numpy())
sol=solvers.lp(c_,G_,h_,solver=None)

The first numerical difference comes from the call base.gemm(spmatrix(W['di'], list(range(ml)), list(range(ml))), G, F['Gs'], partial = True) in local/lib/python2.7/site-packages/cvxopt/misc.py, where the inputs are:


W['di']= [ 3.06e+00]
[ 3.32e+00]
[ 1.29e+00]
[ 1.05e+00]
ml= 4
G= [ 2.00e+00  1.00e+00]
[ 1.00e+00  2.00e+00]
[-1.00e+00  0.00e+00]
[ 0.00e+00 -1.00e+00]

and the expected output is:

F['Gs']= [ 6.11e+00  3.06e+00]
[ 3.32e+00  6.63e+00]
[-1.29e+00  0.00e+00]
[ 0.00e+00 -1.05e+00]

whereas we get:

 F['Gs']= [ 8.11e+00  4.06e+00]
[ 4.32e+00  8.63e+00]
[-2.29e+00  0.00e+00]
[ 0.00e+00 -2.05e+00]

Does anybody know where the base.gemm function is defined?

Paul

zimmermann6 · 2012-05-14T14:11:37Z

comment:3

I could reduce the issue to the following:


import numpy
from cvxopt.base import spmatrix
from cvxopt.base import matrix as m
from cvxopt import umfpack
RealNumber=float
W = [ 3.06e+00, 3.32e+00, 1.29e+00, 1.05e+00]
ml=4
W2 = spmatrix(W, list(range(ml)), list(range(ml)))
G= m([[2.00e+00,  1.00e+00, -1.00e+00,  0.00e+00],
      [1.00e+00,  2.00e+00,  0.00e+00, -1.00e+00]])
F = m([[0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0]])
from cvxopt.base import gemm
import cvxopt
cvxopt.base.gemm(W2,G,F,partial = True)
print F
cvxopt.base.gemm(W2,G,F,partial = True)
print F

The expected output is twice the same matrix F:


[ 6.12e+00  3.06e+00]
[ 3.32e+00  6.64e+00]
[-1.29e+00  0.00e+00]
[ 0.00e+00 -1.05e+00]

[ 6.12e+00  3.06e+00]
[ 3.32e+00  6.64e+00]
[-1.29e+00  0.00e+00]
[ 0.00e+00 -1.05e+00]

On silius with sage-5.0.rc1 I get instead:

[ 6.12e+00  3.06e+00]
[ 3.32e+00  6.64e+00]
[-1.29e+00  0.00e+00]
[ 0.00e+00 -1.05e+00]

[ 1.22e+01  6.12e+00]
[ 6.64e+00  1.33e+01]
[-2.58e+00  0.00e+00]
[ 0.00e+00 -2.10e+00]

thus it seems the product is accumulated to F.

Paul

kiwifb · 2012-05-24T03:57:44Z

comment:4

That's unexpected, It could be a cvxopt problem rather than a scipy problem. I may be able to check on Monday when I go back to work for real if there are more problems with cvxopt.

kiwifb · 2012-06-26T23:01:59Z

comment:5

Yes I can confirm that with 5.1beta5 (and cvxopt-1.1.5 from #13160). Will look at the code.

kiwifb · 2012-06-27T00:19:48Z

comment:6

If after that we do (http://abel.ee.ucla.edu/cvxopt/userguide/blas.html#level-3-blas)

F = m([[0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0]])
cvxopt.base.gemm(W2,G,F,beta=0.5,partial = True)
print F
cvxopt.base.gemm(W2,G,F,beta=0.5,partial = True
print F

we get

[ 6.12e+00  3.06e+00]
[ 3.32e+00  6.64e+00]
[-1.29e+00  0.00e+00]
[ 0.00e+00 -1.05e+00]

[ 1.22e+01  6.12e+00]
[ 6.64e+00  1.33e+01]
[-2.58e+00  0.00e+00]
[ 0.00e+00 -2.10e+00]

Clearly the beta factor is always passed as "1" rather than the default zero or the value you want. I checked that passing a value for alpha works.

kiwifb · 2012-06-27T03:23:17Z

comment:7

I am not completely sure of what is happening there. I need to have a control build locally to be sure. The evaluation eventually goes to sp_dgemm in C/sparse.c, more specifically this section

  else if (sp_a && !sp_b && !sp_c) {

    ccs *A = (tA == 'N' ? a : transpose(a, 0));
    double *B = b, *C = c;

    int j, l, mn_ = m*n, ib = (tB == 'N' ? k : 1);
    scal[DOUBLE](&mn_, &beta, C, (int *)&One[INT]);

    for (j=0; j<A->ncols; j++) {
      for (l=A->colptr[j]; l<A->colptr[j+1]; l++) {

        double a_ = alpha.d*((double *)A->values)[l];
        axpy[DOUBLE](&n, &a_, B + (tB == 'N' ? j : j*n), &ib,
            C + A->rowind[l], &m);
      }
    }
    if (A != a) free_ccs(A);
  }

  else if (!sp_a && sp_b && sp_c && partial){

Notice that in this particular case "partial" is ignored. The issue here is that we don't seem to go through scal[DOUBLE] (part of C/blas.c) at all. That particular call should replace our F input by beta.d*F where beta.d is 0 by default. The fact that this call seem completely bypassed explains why it is useless to give a value for beta.

kiwifb · 2012-06-27T10:53:59Z

comment:8

I cannot see it going in scal[DOUBLE] on my x86_64 box either. I will have to dig it a bit more to find how to crack what is happening there.

kiwifb · 2012-06-27T22:19:02Z

comment:9

cvxopt.base is not linked to cvxopt.blas which contains the interface to scal (it is working fine). So in the previous code this should be a direct call to dscal. I am guessing there is something about the declarations in that bit of code that I don't understand fully. But then why does it work on anything but power7?

kiwifb · 2012-06-28T04:14:46Z

comment:10

Finally found out it is supposed to be a direct call to blas dscal_ but the declaration are all wrong for that I think. I may have to copy the declaration from base.c and see if it works.

kiwifb · 2012-06-28T11:33:18Z

comment:11

I have no clue why the call to dscal_ either doesn't happen or return the wrong thing.

zimmermann6 · 2013-02-12T11:52:26Z

comment:12

maybe this is due to the fact that the power7 is big endian, and some code is not endian-safe?

Paul

kiwifb · 2013-02-12T19:01:30Z

comment:13

Replying to @zimmermann6:

maybe this is due to the fact that the power7 is big endian, and some code is not endian-safe?

No. We have some other big endian platforms: OS X ppc, arm and sparc. It would have shown up somewhere before.

Francois

kiwifb · 2013-02-15T02:01:06Z

comment:15

Building cvxopt with SAGE_CHECK=yes on OS X

Running the test suite for cvxopt-1.1.5.p0...
Testing in /Users/frb15/Desktop/sage-5.7.beta0/spkg/build/cvxopt-1.1.5.p0/src/examples/doc/chap10
Testing l1svc.py ...
     pcost       dcost       gap    pres   dres   k/t
 0:  1.9477e+02  8.3326e+02  4e+03  3e+00  1e+01  1e+00
 1:  3.3601e+02  4.7283e+02  5e+02  6e-01  3e+00  2e+00
 2:  3.2929e+02  3.6402e+02  1e+02  2e-01  7e-01  5e-01
 3:  3.2989e+02  3.3991e+02  3e+01  5e-02  2e-01  1e-01
 4:  3.3052e+02  3.3433e+02  1e+01  2e-02  7e-02  4e-02
 5:  3.3073e+02  3.3233e+02  4e+00  8e-03  3e-02  1e-02
 6:  3.3091e+02  3.3135e+02  1e+00  2e-03  9e-03  3e-03
 7:  3.3097e+02  3.3108e+02  3e-01  5e-04  2e-03  3e-04
 8:  3.3099e+02  3.3102e+02  1e-01  2e-04  7e-04  9e-05
 9:  3.3099e+02  3.3101e+02  3e-02  6e-05  2e-04  3e-05
10:  3.3100e+02  3.3100e+02  1e-02  2e-05  8e-05  1e-05
11:  3.3100e+02  3.3100e+02  4e-03  7e-06  3e-05  4e-06
12:  3.3100e+02  3.3100e+02  4e-04  7e-07  3e-06  4e-07
13:  3.3100e+02  3.3100e+02  3e-05  6e-08  2e-07  3e-08
14:  3.3100e+02  3.3100e+02  4e-07  7e-10  3e-09  3e-10
Optimal solution found.
     pcost       dcost       gap    pres   dres   k/t
 0:  1.9477e+02  8.3326e+02  4e+03  3e+00  1e+01  1e+00
 1:  3.3601e+02  4.7283e+02  5e+02  6e-01  3e+00  2e+00
 2:  3.2929e+02  3.6402e+02  1e+02  2e-01  7e-01  5e-01
 3:  3.2989e+02  3.3991e+02  3e+01  5e-02  2e-01  1e-01
 4:  3.3052e+02  3.3433e+02  1e+01  2e-02  7e-02  4e-02
 5:  3.3073e+02  3.3233e+02  4e+00  8e-03  3e-02  1e-02
 6:  3.3091e+02  3.3135e+02  1e+00  2e-03  9e-03  3e-03
 7:  3.3097e+02  3.3108e+02  3e-01  5e-04  2e-03  3e-04
 8:  3.3099e+02  3.3102e+02  1e-01  2e-04  7e-04  9e-05
 9:  3.3099e+02  3.3101e+02  3e-02  6e-05  2e-04  3e-05
10:  3.3100e+02  3.3100e+02  1e-02  2e-05  8e-05  1e-05
11:  3.3100e+02  3.3100e+02  4e-03  7e-06  3e-05  4e-06
12:  3.3100e+02  3.3100e+02  4e-04  7e-07  3e-06  4e-07
13:  3.3100e+02  3.3100e+02  3e-05  6e-08  2e-07  3e-08
14:  3.3100e+02  3.3100e+02  4e-07  7e-10  3e-09  3e-10
Optimal solution found.

Difference between two solutions: 2.871450e-12
Testing lp.py ...
     pcost       dcost       gap    pres   dres   k/t
 0: -8.1000e+00 -1.8300e+01  4e+00  0e+00  8e-01  1e+00
 1: -8.8055e+00 -9.4357e+00  2e-01  1e-16  4e-02  3e-02
 2: -8.9981e+00 -9.0049e+00  2e-03  1e-16  5e-04  4e-04
 3: -9.0000e+00 -9.0000e+00  2e-05  2e-16  5e-06  4e-06
 4: -9.0000e+00 -9.0000e+00  2e-07  1e-16  5e-08  4e-08
Optimal solution found.

status: optimal
optimal value: -9.000000
optimal x: 1.000000
optimal y: 1.000000
optimal multiplier for 1st constraint: 1.000000
optimal multiplier for 2nd constraint: 2.000000
optimal multiplier for 3rd constraint: 0.000000
optimal multiplier for 4th constraint: 0.000000

     pcost       dcost       gap    pres   dres   k/t
 0: -8.1000e+00 -1.8300e+01  4e+00  0e+00  8e-01  1e+00
 1: -8.8055e+00 -9.4357e+00  2e-01  1e-16  4e-02  3e-02
 2: -8.9981e+00 -9.0049e+00  2e-03  4e-16  5e-04  4e-04
 3: -9.0000e+00 -9.0000e+00  2e-05  2e-16  5e-06  4e-06
 4: -9.0000e+00 -9.0000e+00  2e-07  3e-16  5e-08  4e-08
Optimal solution found.

status: optimal
optimal value: -9.000000
optimal x: 

[ 1.00e+00]
[ 1.00e+00]

optimal multiplier: 

[ 1.00e+00]
[ 2.00e+00]
[ 2.87e-08]
[ 2.80e-08]

Testing normappr.py ...
     pcost       dcost       gap    pres   dres   k/t
 0:  1.4360e-18  2.2335e-17  3e+00  4e+00  7e-16  1e+00
 1:  7.7624e-01  5.0693e-01  1e+00  1e+00  3e-16  8e-02
 2:  1.1214e+00  8.9119e-01  1e+00  1e+00  2e-15  4e-02
 3:  1.4030e+00  1.3178e+00  4e-01  3e-01  1e-15  1e-02
 4:  1.4925e+00  1.4550e+00  2e-01  1e-01  2e-15  3e-03
 5:  1.5367e+00  1.5218e+00  7e-02  6e-02  3e-15  7e-04
 6:  1.5622e+00  1.5582e+00  2e-02  1e-02  5e-15  1e-04
 7:  1.5688e+00  1.5675e+00  6e-03  5e-03  9e-15  4e-05
 8:  1.5710e+00  1.5705e+00  2e-03  2e-03  2e-14  1e-05
 9:  1.5718e+00  1.5717e+00  6e-04  5e-04  3e-14  3e-06
10:  1.5721e+00  1.5721e+00  7e-05  6e-05  9e-14  3e-07
11:  1.5721e+00  1.5721e+00  1e-05  1e-05  2e-13  3e-08
12:  1.5721e+00  1.5721e+00  1e-07  1e-07  1e-12  3e-10
13:  1.5721e+00  1.5721e+00  1e-09  1e-09  4e-13  3e-12
Optimal solution found.
     pcost       dcost       gap    pres   dres   k/t
 0:  0.0000e+00 -1.3323e-15  2e+03  4e+00  3e-15  1e+00
 1:  1.7635e+02  1.7640e+02  3e+02  6e-01  5e-15  2e-01
 2:  2.8098e+02  2.8100e+02  1e+02  2e-01  2e-14  7e-02
 3:  3.1169e+02  3.1170e+02  4e+01  8e-02  2e-14  3e-02
 4:  3.2086e+02  3.2086e+02  2e+01  3e-02  2e-14  1e-02
 5:  3.2580e+02  3.2580e+02  5e+00  1e-02  5e-14  4e-03
 6:  3.2711e+02  3.2711e+02  2e+00  5e-03  8e-14  2e-03
 7:  3.2773e+02  3.2773e+02  8e-01  2e-03  7e-14  7e-04
 8:  3.2798e+02  3.2798e+02  2e-01  4e-04  8e-14  2e-04
 9:  3.2802e+02  3.2802e+02  9e-02  2e-04  9e-13  9e-05
10:  3.2805e+02  3.2805e+02  2e-02  5e-05  4e-13  2e-05
11:  3.2806e+02  3.2806e+02  6e-04  1e-06  4e-13  5e-07
12:  3.2806e+02  3.2806e+02  6e-06  1e-08  3e-13  5e-09
Optimal solution found.
     pcost       dcost       gap    pres   dres   k/t
 0: -6.0000e+02 -6.0000e+02  2e+03  2e+00  3e-15  1e+00
 1: -2.8064e+02 -2.8065e+02  6e+02  6e-01  5e-15  2e-01
 2:  1.7442e+01  1.7439e+01  1e+02  1e-01  5e-15  6e-02
 3:  6.8906e+01  6.8905e+01  5e+01  5e-02  1e-14  2e-02
 4:  8.4723e+01  8.4723e+01  2e+01  2e-02  2e-14  7e-03
 5:  9.0965e+01  9.0965e+01  6e+00  6e-03  4e-14  3e-03
 6:  9.3530e+01  9.3530e+01  2e+00  2e-03  7e-14  9e-04
 7:  9.4464e+01  9.4464e+01  8e-01  8e-04  7e-14  3e-04
 8:  9.4800e+01  9.4800e+01  3e-01  3e-04  1e-13  1e-04
 9:  9.4943e+01  9.4943e+01  1e-01  1e-04  5e-13  4e-05
10:  9.4977e+01  9.4977e+01  6e-02  6e-05  4e-13  2e-05
11:  9.5012e+01  9.5012e+01  1e-02  1e-05  1e-12  4e-06
12:  9.5017e+01  9.5017e+01  2e-03  2e-06  2e-12  1e-06
13:  9.5019e+01  9.5019e+01  7e-05  7e-08  1e-12  3e-08
Optimal solution found.
Testing roblp.py ...
     pcost       dcost       gap    pres   dres   k/t
 0:  6.4689e-02 -2.5969e+02  1e+03  3e+00  5e+02  1e+00
 1: -6.3206e-01 -1.5244e+01  7e+01  2e-01  3e+01  5e-02
 2: -8.9622e-01 -5.2748e+00  2e+01  6e-02  9e+00  2e-02
 3: -4.7107e-01 -2.0114e+00  4e+00  2e-02  3e+00  1e-02
 4: -3.0885e-01 -9.9026e-01  2e+00  9e-03  1e+00  5e-03
 5: -1.5746e-01 -5.0467e-01  8e-01  5e-03  7e-01  2e-03
 6: -8.8994e-02 -2.1726e-01  3e-01  2e-03  3e-01  8e-04
 7: -7.0477e-02 -1.5814e-01  2e-01  1e-03  2e-01  5e-04
 8: -5.3775e-02 -1.0674e-01  1e-01  7e-04  1e-01  3e-04
 9: -4.3274e-02 -7.8777e-02  9e-02  5e-04  7e-02  2e-04
10: -3.3888e-02 -5.6354e-02  6e-02  3e-04  5e-02  1e-04
11: -2.6815e-02 -4.0537e-02  4e-02  2e-04  3e-02  7e-05
12: -2.3512e-02 -3.2517e-02  3e-02  1e-04  2e-02  4e-05
13: -2.2136e-02 -2.9902e-02  2e-02  1e-04  2e-02  3e-05
14: -2.2603e-02 -3.0313e-02  2e-02  1e-04  2e-02  3e-05
15: -2.0466e-02 -2.6205e-02  2e-02  8e-05  1e-02  3e-05
16: -1.7460e-02 -2.0629e-02  1e-02  4e-05  7e-03  1e-05
17: -1.4571e-02 -1.5616e-02  4e-03  1e-05  2e-03  5e-06
18: -1.4181e-02 -1.4893e-02  3e-03  9e-06  1e-03  4e-06
19: -1.3328e-02 -1.3495e-02  6e-04  2e-06  3e-04  8e-07
20: -1.3093e-02 -1.3109e-02  6e-05  2e-07  3e-05  8e-08
21: -1.3077e-02 -1.3082e-02  2e-05  6e-08  9e-06  2e-08
22: -1.3070e-02 -1.3070e-02  2e-07  8e-10  1e-07  3e-10
23: -1.3070e-02 -1.3070e-02  2e-09  8e-12  1e-09  3e-12
Optimal solution found.
     pcost       dcost       gap    pres   dres   k/t
 0:  6.4689e-02 -2.5969e+02  1e+03  3e+00  5e+02  1e+00
 1: -6.3206e-01 -1.5244e+01  7e+01  2e-01  3e+01  5e-02
 2: -8.9622e-01 -5.2748e+00  2e+01  6e-02  9e+00  2e-02
 3: -4.7107e-01 -2.0114e+00  4e+00  2e-02  3e+00  1e-02
 4: -3.0885e-01 -9.9026e-01  2e+00  9e-03  1e+00  5e-03
 5: -1.5746e-01 -5.0467e-01  8e-01  5e-03  7e-01  2e-03
 6: -8.8994e-02 -2.1726e-01  3e-01  2e-03  3e-01  8e-04
 7: -7.0477e-02 -1.5814e-01  2e-01  1e-03  2e-01  5e-04
 8: -5.3775e-02 -1.0674e-01  1e-01  7e-04  1e-01  3e-04
 9: -4.3274e-02 -7.8777e-02  9e-02  5e-04  7e-02  2e-04
10: -3.3888e-02 -5.6354e-02  6e-02  3e-04  5e-02  1e-04
11: -2.6815e-02 -4.0537e-02  4e-02  2e-04  3e-02  7e-05
12: -2.3512e-02 -3.2517e-02  3e-02  1e-04  2e-02  4e-05
13: -2.2136e-02 -2.9902e-02  2e-02  1e-04  2e-02  3e-05
14: -2.2603e-02 -3.0313e-02  2e-02  1e-04  2e-02  3e-05
15: -2.0466e-02 -2.6205e-02  2e-02  8e-05  1e-02  3e-05
16: -1.7460e-02 -2.0629e-02  1e-02  4e-05  7e-03  1e-05
17: -1.4571e-02 -1.5616e-02  4e-03  1e-05  2e-03  5e-06
18: -1.4181e-02 -1.4893e-02  3e-03  9e-06  1e-03  4e-06
19: -1.3328e-02 -1.3495e-02  6e-04  2e-06  3e-04  8e-07
20: -1.3093e-02 -1.3109e-02  6e-05  2e-07  3e-05  8e-08
21: -1.3077e-02 -1.3082e-02  2e-05  6e-08  9e-06  2e-08
22: -1.3070e-02 -1.3070e-02  2e-07  8e-10  1e-07  3e-10
23: -1.3070e-02 -1.3070e-02  2e-09  8e-12  1e-09  3e-12
Optimal solution found.

Difference between two solutions 1.500933e-13
Testing in /Users/frb15/Desktop/sage-5.7.beta0/spkg/build/cvxopt-1.1.5.p0/src/examples/doc/chap4
Testing acent.py ...
 0.  Newton decr. = 1.193e+01
 1.  Newton decr. = 8.441e+00
 2.  Newton decr. = 6.062e+00
 3.  Newton decr. = 4.284e+00
 4.  Newton decr. = 3.070e+00
 5.  Newton decr. = 2.296e+00
 6.  Newton decr. = 1.637e+00
 7.  Newton decr. = 1.185e+00
 8.  Newton decr. = 8.248e-01
 9.  Newton decr. = 5.477e-01
10.  Newton decr. = 1.767e-01
11.  Newton decr. = 5.559e-03
12.  Newton decr. = 1.718e-07
13.  Newton decr. = 7.985e-13
Testing in /Users/frb15/Desktop/sage-5.7.beta0/spkg/build/cvxopt-1.1.5.p0/src/examples/doc/chap7
Testing covsel.py ...
500 rows/columns, 1741 nonzeros

Newton decrement squared: 5.01869e+08
Newton decrement squared: 1.29139e+08
Newton decrement squared: 3.26344e+07
Newton decrement squared: 1.14508e+02
Newton decrement squared: 2.68329e+01
Newton decrement squared: 1.52504e+00
Newton decrement squared: 5.25935e-03
Newton decrement squared: 6.89978e-08
Newton decrement squared: 1.34440e-17
number of iterations: 9
Testing in /Users/frb15/Desktop/sage-5.7.beta0/spkg/build/cvxopt-1.1.5.p0/src/examples/doc/chap8
Testing conelp.py ...
     pcost       dcost       gap    pres   dres   k/t
 0:  1.1431e+00 -2.3216e+02  5e+02  7e-01  8e+00  1e+00
 1:  3.2291e+00 -7.6284e+01  1e+02  2e-01  3e+00  2e+00
 2: -5.4057e+00 -7.5497e+01  1e+02  2e-01  2e+00  6e+00
 3: -8.2526e+00 -5.0576e+01  7e+01  1e-01  1e+00  4e+00
 4:  3.6383e+00 -4.2856e+01  9e+01  1e-01  2e+00  6e+00
 5: -5.8339e+00 -2.2605e+01  4e+01  6e-02  7e-01  4e+00
 6: -3.0169e+00 -1.5737e+01  2e+01  4e-02  5e-01  2e+00
 7: -9.4177e+00 -1.6446e+01  1e+01  2e-02  3e-01  1e+00
 8: -1.0564e+01 -1.1543e+01  2e+00  3e-03  4e-02  2e-01
 9: -1.0930e+01 -1.1021e+01  2e-01  3e-04  4e-03  2e-02
10: -1.0948e+01 -1.0952e+01  8e-03  1e-05  2e-04  8e-04
11: -1.0949e+01 -1.0949e+01  1e-04  2e-07  3e-06  1e-05
12: -1.0949e+01 -1.0949e+01  1e-06  3e-09  3e-08  2e-07
Optimal solution found.

Status: optimal

x = 

[-1.22e+00]
[ 9.66e-02]
[ 3.58e+00]


z = 

[ 9.30e-02]
[ 1.06e-08]
[ 2.35e-01]
[ 1.33e-01]
[-4.73e-02]
[ 1.88e-01]
[ 1.25e-08]
[ 7.82e-11]
[-3.96e-10]
[-1.83e-09]
[ 1.26e-01]
[ 8.78e-02]
[-8.66e-02]
[ 8.78e-02]
[ 6.14e-02]
[-6.06e-02]
[-8.66e-02]
[-6.06e-02]
[ 5.98e-02]

Testing coneqp.py ...
     pcost       dcost       gap    pres   dres
 0: -1.0721e+00 -4.3040e+00  3e+00  0e+00  2e+00
 1: -1.2240e+00 -1.5212e+00  3e-01  1e-15  2e-01
 2: -1.4283e+00 -1.5409e+00  1e-01  1e-16  5e-02
 3: -1.4300e+00 -1.4312e+00  1e-03  6e-15  5e-04
 4: -1.4300e+00 -1.4300e+00  1e-05  2e-14  5e-06
 5: -1.4300e+00 -1.4300e+00  1e-07  3e-14  5e-08
Optimal solution found.

x = 

[ 7.26e-01]
[ 6.18e-01]
[ 3.03e-01]

Testing l1.py ...
     pcost       dcost       gap    pres   dres   k/t
 0:  8.5089e+02  2.7294e+02  6e+02  8e-17  4e-15  1e+00
 1:  8.7849e+02  4.1131e+02  5e+02  3e-16  2e-14  7e-01
 2:  8.6797e+02  6.1491e+02  3e+02  3e-16  1e-14  3e-01
 3:  8.0628e+02  7.0009e+02  1e+02  3e-16  8e-15  1e-01
 4:  7.7503e+02  7.3246e+02  4e+01  4e-16  8e-15  4e-02
 5:  7.6023e+02  7.4674e+02  1e+01  4e-16  7e-15  9e-03
 6:  7.5524e+02  7.5092e+02  4e+00  5e-16  8e-15  3e-03
 7:  7.5348e+02  7.5236e+02  1e+00  3e-16  2e-14  7e-04
 8:  7.5315e+02  7.5264e+02  5e-01  6e-16  1e-14  3e-04
 9:  7.5296e+02  7.5280e+02  2e-01  4e-16  2e-14  9e-05
10:  7.5289e+02  7.5286e+02  3e-02  3e-16  7e-14  2e-05
11:  7.5287e+02  7.5287e+02  2e-03  4e-16  1e-13  8e-07
12:  7.5287e+02  7.5287e+02  2e-05  3e-16  4e-14  8e-09
Optimal solution found.
Testing l1regls.py ...
     pcost       dcost       gap    pres   dres
 0: -6.2156e+02 -1.2128e+02  1e+03  7e+01  9e-13
 1: -1.4192e+02 -1.2103e+02  4e+01  3e+00  4e-14
 2: -1.2350e+02 -1.1783e+02  2e+01  1e+00  1e-14
 3: -1.1628e+02 -1.1681e+02  1e+01  4e-01  6e-15
 4: -1.1482e+02 -1.1634e+02  4e+00  1e-01  3e-15
 5: -1.1523e+02 -1.1616e+02  2e+00  3e-02  2e-15
 6: -1.1563e+02 -1.1611e+02  7e-01  1e-02  2e-15
 7: -1.1589e+02 -1.1608e+02  3e-01  3e-03  4e-15
 8: -1.1599e+02 -1.1607e+02  1e-01  9e-04  6e-15
 9: -1.1605e+02 -1.1606e+02  8e-03  3e-16  2e-14
10: -1.1606e+02 -1.1606e+02  5e-04  3e-16  9e-14
11: -1.1606e+02 -1.1606e+02  1e-05  3e-16  4e-13
Optimal solution found.
Testing lp.py ...
     pcost       dcost       gap    pres   dres   k/t
 0: -8.1000e+00 -1.8300e+01  4e+00  0e+00  8e-01  1e+00
 1: -8.8055e+00 -9.4357e+00  2e-01  1e-16  4e-02  3e-02
 2: -8.9981e+00 -9.0049e+00  2e-03  4e-16  5e-04  4e-04
 3: -9.0000e+00 -9.0000e+00  2e-05  2e-16  5e-06  4e-06
 4: -9.0000e+00 -9.0000e+00  2e-07  3e-16  5e-08  4e-08
Optimal solution found.

x = 

[ 1.00e+00]
[ 1.00e+00]

Testing mcsdp.py ...
     pcost       dcost       gap    pres   dres   k/t
 0:  2.0201e+03 -2.2102e+00  2e+03  1e-16  0e+00  1e+00
 1:  2.6322e+03  7.5634e+02  2e+03  2e-14  9e-16  5e+00
 2:  1.8364e+03  1.3265e+03  5e+02  8e-15  1e-15  2e+00
 3:  1.8146e+03  1.4724e+03  3e+02  9e-15  1e-15  2e+00
 4:  1.7423e+03  1.7172e+03  3e+01  6e-15  2e-15  2e-01
 5:  1.7382e+03  1.7340e+03  4e+00  6e-15  2e-15  3e-02
 6:  1.7378e+03  1.7370e+03  9e-01  7e-15  2e-15  7e-03
 7:  1.7378e+03  1.7377e+03  1e-01  7e-15  2e-15  1e-03
 8:  1.7378e+03  1.7378e+03  1e-02  6e-15  1e-15  9e-05
 9:  1.7378e+03  1.7378e+03  1e-03  8e-15  5e-13  1e-05
Optimal solution found.
Testing portfolio.py ...
Testing qcl1.py ...
     pcost       dcost       gap    pres   dres   k/t
 0:  0.0000e+00 -1.0000e+00  5e+02  3e+00  2e+00  1e+00
 1:  1.2547e+01  1.5524e+01  2e+02  1e+00  1e+00  4e+00
 2:  1.0595e+01  1.3428e+01  4e+01  4e-01  3e-01  3e+00
 3:  1.5912e+01  1.6324e+01  4e+00  5e-02  4e-02  4e-01
 4:  1.7157e+01  1.7212e+01  6e-01  8e-03  6e-03  6e-02
 5:  1.7290e+01  1.7307e+01  2e-01  3e-03  2e-03  2e-02
 6:  1.7356e+01  1.7359e+01  7e-02  9e-04  7e-04  4e-03
 7:  1.7373e+01  1.7373e+01  2e-02  2e-04  2e-04  6e-04
 8:  1.7378e+01  1.7378e+01  2e-03  3e-05  2e-05  7e-05
 9:  1.7379e+01  1.7379e+01  3e-04  4e-06  3e-06  7e-06
10:  1.7379e+01  1.7379e+01  3e-05  4e-07  3e-07  6e-07
11:  1.7379e+01  1.7379e+01  7e-06  9e-08  7e-08  1e-07
Optimal solution found.
Testing sdp.py ...
     pcost       dcost       gap    pres   dres   k/t
 0: -1.2037e+00 -1.8539e+02  2e+02  2e-16  8e+00  1e+00
 1: -1.2937e+00 -6.8551e+00  5e+00  5e-16  3e-01  3e-02
 2: -2.8964e+00 -3.7331e+00  7e-01  4e-16  4e-02  5e-02
 3: -3.0150e+00 -3.2556e+00  2e-01  5e-16  1e-02  2e-02
 4: -3.1389e+00 -3.1932e+00  5e-02  3e-16  3e-03  5e-03
 5: -3.1533e+00 -3.1547e+00  1e-03  1e-15  7e-05  1e-04
 6: -3.1535e+00 -3.1536e+00  5e-05  8e-16  3e-06  6e-06
 7: -3.1535e+00 -3.1535e+00  1e-06  9e-16  7e-08  2e-07
Optimal solution found.

x = 

[-3.68e-01]
[ 1.90e+00]
[-8.88e-01]

zs[0] = 

[ 3.96e-03 -4.34e-03]
[-4.34e-03  4.75e-03]

zs[1] =

[ 5.58e-02 -2.41e-03  2.42e-02]
[-2.41e-03  1.04e-04 -1.05e-03]
[ 2.42e-02 -1.05e-03  1.05e-02]

Testing socp.py ...
     pcost       dcost       gap    pres   dres   k/t
 0:  4.9969e+00 -1.7285e+01  6e+01  3e-01  4e+00  1e+00
 1: -1.6732e+00 -7.0431e+00  1e+01  7e-02  1e+00  6e-01
 2: -1.6221e+01 -3.5417e+01  2e+02  3e-01  5e+00  7e+00
 3: -2.1832e+01 -2.2849e+01  3e+01  4e-02  6e-01  2e+00
 4: -3.5265e+01 -3.5594e+01  1e+01  1e-02  2e-01  9e-01
 5: -3.8303e+01 -3.8314e+01  3e-01  4e-04  6e-03  2e-02
 6: -3.8342e+01 -3.8342e+01  1e-02  1e-05  2e-04  7e-04
 7: -3.8346e+01 -3.8346e+01  9e-04  1e-06  2e-05  7e-05
 8: -3.8346e+01 -3.8346e+01  4e-05  6e-08  9e-07  4e-06
 9: -3.8346e+01 -3.8346e+01  2e-06  3e-09  4e-08  2e-07
Optimal solution found.

x = 

[-5.01e+00]
[-5.77e+00]
[-8.52e+00]

zq[0] = 

[ 1.34e+00]
[-7.63e-02]
[-1.34e+00]

zq[1] = 

[ 1.02e+00]
[ 4.02e-01]
[ 7.80e-01]
[-5.17e-01]

Testing in /Users/frb15/Desktop/sage-5.7.beta0/spkg/build/cvxopt-1.1.5.p0/src/examples/doc/chap9
Testing acent.py ...
     pcost       dcost       gap    pres   dres
 0:  0.0000e+00  0.0000e+00  1e+00  1e+00  1e+00
 1:  4.0905e+01  1.5122e+02  6e-01  7e-01  8e-01
 2:  1.8012e+02  2.4780e+02  6e-03  8e-01  7e-01
 3:  2.2830e+02  2.3794e+02  6e-05  1e-01  1e-01
 4:  2.3605e+02  2.3697e+02  6e-07  1e-02  8e-03
 5:  2.3692e+02  2.3695e+02  6e-09  4e-04  3e-04
 6:  2.3695e+02  2.3695e+02  6e-11  4e-06  5e-06
 7:  2.3695e+02  2.3695e+02  6e-13  4e-08  5e-08
Optimal solution found.
Testing acent2.py ...
     pcost       dcost       gap    pres   dres
 0:  0.0000e+00 -1.1600e+02  5e+00  1e+00  1e+00
 1:  6.1083e-03 -3.2919e+01  4e+00  1e+00  1e+00
 2:  6.5547e-02 -1.3272e+01  3e+00  9e-01  9e-01
 3:  4.5177e-01 -5.8044e-01  2e+00  6e-01  7e-01
 4:  5.8869e-01  9.1517e-01  1e+00  5e-01  5e-01
 5:  9.4434e-01  2.4680e+00  1e+00  4e-01  6e-01
 6:  8.2046e-01  1.3892e+00  1e+00  3e-01  4e-01
 7:  8.5287e-01  1.4594e+00  4e-01  1e-01  2e-01
 8:  1.0036e+00  1.4560e+00  4e-01  1e-01  2e-01
 9:  1.1380e+00  1.2097e+00  1e-01  8e-03  3e-02
10:  1.2575e+00  1.2716e+00  3e-02  1e-03  8e-03
11:  1.2837e+00  1.2841e+00  1e-02  4e-04  2e-03
12:  1.2896e+00  1.2896e+00  2e-03  5e-05  8e-04
13:  1.2899e+00  1.2898e+00  1e-03  4e-05  6e-04
14:  1.2905e+00  1.2904e+00  3e-04  7e-06  3e-04
15:  1.2905e+00  1.2905e+00  3e-04  6e-06  2e-04
16:  1.2906e+00  1.2906e+00  5e-05  1e-06  8e-05
17:  1.2906e+00  1.2906e+00  5e-05  8e-07  7e-05
18:  1.2906e+00  1.2906e+00  1e-05  2e-07  3e-05
19:  1.2906e+00  1.2906e+00  1e-05  1e-07  1e-05
20:  1.2906e+00  1.2906e+00  3e-06  3e-08  7e-06
21:  1.2906e+00  1.2906e+00  2e-06  2e-08  8e-06
22:  1.2906e+00  1.2906e+00  7e-07  7e-09  3e-06
23:  1.2906e+00  1.2906e+00  6e-07  5e-09  1e-06
24:  1.2906e+00  1.2906e+00  2e-07  1e-09  7e-07
25:  1.2906e+00  1.2906e+00  2e-07  1e-09  1e-06
26:  1.2906e+00  1.2906e+00  6e-08  3e-10  5e-07
27:  1.2906e+00  1.2906e+00  5e-08  2e-10  1e-07
28:  1.2906e+00  1.2906e+00  2e-08  7e-11  9e-08
Optimal solution found.

x = 

[ 4.11e-01]
[ 5.59e-01]
[-7.20e-01]

Testing floorplan.py ...
Testing gp.py ...
     pcost       dcost       gap    pres   dres
 0:  0.0000e+00 -1.2899e+01  7e+00  1e+00  7e-01
 1: -3.1612e+00 -7.7955e+00  3e+00  5e-01  4e-01
 2: -4.0448e+00 -6.3257e+00  2e+00  3e-01  2e-01
 3: -5.0956e+00 -5.3372e+00  2e-01  5e-03  5e-03
 4: -5.2276e+00 -5.2772e+00  5e-02  8e-04  2e-03
 5: -5.2594e+00 -5.2637e+00  8e-03  4e-04  1e-03
 6: -5.2598e+00 -5.2608e+00  2e-03  9e-05  4e-04
 7: -5.2598e+00 -5.2601e+00  5e-04  2e-05  1e-04
 8: -5.2598e+00 -5.2599e+00  1e-04  6e-06  3e-05
 9: -5.2598e+00 -5.2599e+00  3e-05  1e-06  7e-06
10: -5.2598e+00 -5.2598e+00  8e-06  4e-07  2e-06
11: -5.2598e+00 -5.2598e+00  2e-06  9e-08  4e-07
12: -5.2598e+00 -5.2598e+00  5e-07  2e-08  1e-07
13: -5.2598e+00 -5.2598e+00  1e-07  6e-09  3e-08
Optimal solution found.

 h = 2.887313,  w = 5.774627, d = 11.542511.

Testing l2ac.py ...
     pcost       dcost       gap    pres   dres
 0:  0.0000e+00  6.0818e+04  1e+00  1e+00  1e+00
 1: -6.0090e+04  6.9652e+01  1e-02  1e+00  1e-02
 2: -5.4418e+02  6.3439e+01  1e-04  1e-02  1e-04
 3:  5.7361e+01  6.3438e+01  1e-06  1e-04  1e-06
 4:  6.3377e+01  6.3438e+01  1e-08  1e-06  1e-08
 5:  6.3437e+01  6.3438e+01  1e-10  1e-08  1e-10
Optimal solution found.
Testing robls.py ...
     pcost       dcost       gap    pres   dres
 0:  0.0000e+00  4.4597e+02  1e+00  1e+00  1e+00
 1:  3.3120e+02  4.5345e+02  1e-02  3e-01  1e+00
 2:  3.0883e+02  4.5353e+02  1e-04  3e-01  1e+00
 3:  3.1732e+02  4.6375e+02  1e-06  3e-01  1e+00
 4:  2.4984e+02  5.0981e+02  1e-08  6e-01  1e+00
 5:  1.3818e+02  6.3080e+02  1e-10  1e+00  2e+00
 6: -8.9948e+02  1.8021e+03  1e-12  6e+00  2e+00
 7: -1.1605e+05  1.2083e+05  1e-14  5e+02  2e+00
 8: -3.2180e+10  3.2196e+10  1e-16  1e+08  2e+00
 9:  2.6140e+02  4.1484e+02  1e-04  3e-01  4e-01
10:  4.0355e+02  4.1004e+02  1e-06  1e-02  9e-02
11:  4.0955e+02  4.0983e+02  1e-08  6e-04  4e-03
12:  4.0982e+02  4.0982e+02  1e-10  7e-06  6e-05
13:  4.0982e+02  4.0982e+02  1e-12  7e-08  6e-07
14:  4.0982e+02  4.0982e+02  1e-14  7e-10  6e-09
Optimal solution found.

kiwifb · 2013-02-15T02:04:15Z

comment:16

And on power7:

Running the test suite for cvxopt-1.1.5.p0...
Testing in /hpc/scratch/frb15/sandbox/sage-5.7.beta4/spkg/build/cvxopt-1.1.5.p0/src/examples/doc/chap10
Testing l1svc.py ...
solver:chol2
     pcost       dcost       gap    pres   dres   k/t
 0:  1.9477e+02  8.3326e+02  4e+03  3e+00  1e+01  1e+00
 1:  2.1671e+04  4.2707e+04  1e+07  1e+02  9e+02  1e+02
 2:  3.2309e+02  9.3319e+02  2e+03  1e+00  1e+01  3e+02
 3:  4.6110e+02  1.2079e+03  4e+03  1e+00  2e+01  4e+02
 4:  9.1507e+02  2.1725e+03  8e+03  1e+00  4e+01  1e+03
 5:  7.0776e+04  1.6523e+05  7e+06  6e+02  3e+03  9e+04
 6:  7.8619e+04  1.8520e+05  8e+06  1e+03  4e+03  1e+05
 7:  3.9389e+05  1.0062e+06  1e+08  5e+04  2e+04  6e+05
 8:  3.7585e+05  9.4053e+05  1e+08  5e+04  2e+04  6e+05
 9:  3.2815e+05  7.3358e+05  8e+07  5e+04  1e+04  4e+05
10:  3.8380e+05  9.2250e+05  1e+08  5e+04  2e+04  5e+05
11:  4.4182e+05  9.2418e+05  1e+08  1e+05  2e+04  5e+05
12:  4.0964e+05  9.3672e+05  2e+08  2e+05  2e+04  5e+05
13:  5.1893e+05  1.2061e+06  2e+08  2e+05  2e+04  7e+05
14:  5.2093e+05  1.1989e+06  3e+08  3e+05  2e+04  7e+05
15:  5.2496e+05  1.1985e+06  3e+08  3e+05  2e+04  7e+05
16:  6.7271e+05  1.4883e+06  4e+08  4e+05  3e+04  8e+05
17:  6.3803e+05  1.3178e+06  5e+08  3e+05  2e+04  7e+05
18:  6.5847e+05  1.3667e+06  5e+08  3e+05  2e+04  7e+05
19:  6.6945e+05  1.3919e+06  6e+08  3e+05  2e+04  7e+05
20:  6.7820e+05  1.4086e+06  6e+08  3e+05  2e+04  7e+05
21:  1.1690e+06  2.5552e+06  1e+09  4e+05  4e+04  1e+06
22:  1.0766e+06  2.2177e+06  1e+09  4e+05  4e+04  1e+06
23:  1.0864e+06  2.1777e+06  1e+09  4e+05  4e+04  1e+06
24:  1.1089e+06  2.2182e+06  1e+09  4e+05  4e+04  1e+06
25:  1.2188e+06  2.4201e+06  1e+09  4e+05  4e+04  1e+06
26:  1.2510e+06  2.4658e+06  1e+09  4e+05  4e+04  1e+06
27:  1.3379e+06  2.6260e+06  2e+09  5e+05  4e+04  1e+06
28:  1.4050e+06  2.7217e+06  2e+09  7e+05  4e+04  1e+06
29:  1.4091e+06  2.6572e+06  2e+09  5e+06  4e+04  1e+06
30:  1.6232e+06  3.1751e+06  2e+09  7e+06  5e+04  2e+06
31:  1.4920e+06  2.7975e+06  2e+09  7e+06  4e+04  1e+06
32:  1.4601e+06  2.7053e+06  2e+09  7e+06  4e+04  1e+06
33:  1.4821e+06  2.5210e+06  2e+09  7e+06  4e+04  1e+06
34:  1.2872e+06  2.0611e+06  2e+09  6e+06  3e+04  8e+05
35:  1.0578e+06  1.6740e+06  1e+09  4e+06  2e+04  6e+05
36:  8.8749e+05  1.4419e+06  9e+08  2e+06  2e+04  6e+05
37:  8.5568e+05  1.3708e+06  9e+08  2e+06  2e+04  5e+05
38:  8.3081e+05  1.2872e+06  7e+08  2e+06  2e+04  5e+05
39:  7.9605e+05  1.2338e+06  7e+08  1e+06  2e+04  4e+05
40:  8.4066e+05  1.2950e+06  7e+08  1e+06  2e+04  5e+05
41:  8.0924e+05  1.2270e+06  6e+08  1e+06  2e+04  4e+05
42:  7.8398e+05  1.1791e+06  6e+08  9e+05  2e+04  4e+05
43:  8.6142e+05  1.3114e+06  6e+08  6e+05  2e+04  4e+05
44:  7.9760e+05  1.1713e+06  5e+08  5e+05  2e+04  4e+05
45:  1.0354e+06  1.4911e+06  6e+08  4e+05  2e+04  5e+05
46:  8.9185e+05  1.2212e+06  5e+08  3e+05  2e+04  3e+05
47:  8.4288e+05  1.1448e+06  5e+08  3e+05  2e+04  3e+05
48:  7.2704e+05  9.7125e+05  4e+08  3e+05  1e+04  2e+05
49:  6.5246e+05  8.7145e+05  4e+08  2e+05  1e+04  2e+05
50:  6.2542e+05  8.3219e+05  3e+08  2e+05  1e+04  2e+05
51:  5.8260e+05  7.8091e+05  3e+08  2e+05  1e+04  2e+05
52:  5.7354e+05  7.6536e+05  3e+08  2e+05  1e+04  2e+05
53:  5.6313e+05  7.4666e+05  2e+08  2e+05  1e+04  2e+05
54:  5.7419e+05  7.6792e+05  2e+08  2e+05  1e+04  2e+05
55:  5.4018e+05  6.9129e+05  2e+08  2e+05  1e+04  2e+05
56:  5.3573e+05  6.9811e+05  2e+08  4e+05  1e+04  2e+05
57:  4.4393e+05  5.2343e+05  1e+08  2e+05  8e+03  8e+04
58:  3.9541e+05  4.6454e+05  1e+08  2e+05  7e+03  7e+04
59:  3.0426e+05  3.5793e+05  7e+07  1e+05  5e+03  5e+04
60:  2.6895e+05  3.1626e+05  6e+07  1e+05  4e+03  5e+04
61:  2.3756e+05  2.7678e+05  4e+07  9e+04  4e+03  4e+04
62:  2.1585e+05  2.4768e+05  3e+07  1e+05  4e+03  3e+04
63:  1.8901e+05  2.1674e+05  2e+07  1e+05  3e+03  3e+04
64:  1.5122e+05  1.6612e+05  2e+07  1e+06  2e+03  1e+04
65:  1.4484e+05  1.5813e+05  1e+07  1e+06  2e+03  1e+04
66:  1.3844e+05  1.5066e+05  1e+07  1e+06  2e+03  1e+04
67:  1.3374e+05  1.4554e+05  1e+07  1e+06  2e+03  1e+04
68:  1.3280e+05  1.4396e+05  1e+07  7e+05  2e+03  1e+04
69:  1.3370e+05  1.4480e+05  1e+07  6e+05  2e+03  1e+04
70:  1.3076e+05  1.4073e+05  9e+06  5e+05  2e+03  1e+04
71:  1.4915e+05  1.6136e+05  9e+06  4e+05  2e+03  1e+04
72:  1.0138e+05  1.0656e+05  5e+06  4e+05  1e+03  5e+03
73:  7.6771e+04  7.7855e+04  2e+06  4e+05  1e+03  1e+03
74:  4.4844e+04  4.5085e+04  9e+05  2e+05  6e+02  2e+02
75:  1.3936e+04  1.3972e+04  1e+05  7e+04  2e+02  4e+01
76:  1.0789e+04  1.0860e+04  7e+04  5e+04  1e+02  7e+01
77:  8.6633e+03  8.8449e+03  5e+04  4e+04  1e+02  2e+02
78:  4.1464e+03  4.6260e+03  1e+04  2e+04  5e+01  5e+02
79:  2.1695e+03  2.7967e+03  4e+03  7e+03  3e+01  6e+02
80:  1.6795e+03  2.3059e+03  2e+03  5e+03  2e+01  6e+02
81:  1.2859e+03  1.8690e+03  1e+03  3e+03  2e+01  6e+02
82:  9.9216e+02  1.4128e+03  9e+02  2e+03  1e+01  4e+02
83:  7.7053e+02  9.3188e+02  5e+02  1e+03  1e+01  2e+02
84:  7.6994e+02  8.8787e+02  5e+02  1e+03  1e+01  1e+02
85:  7.5863e+02  8.3103e+02  4e+02  9e+02  1e+01  7e+01
86:  7.4180e+02  7.6764e+02  3e+02  6e+02  1e+01  3e+01
87:  7.4245e+02  7.6761e+02  3e+02  6e+02  1e+01  3e+01
88:  7.4385e+02  7.6336e+02  3e+02  6e+02  9e+00  2e+01
89:  7.4920e+02  7.6270e+02  2e+02  6e+02  1e+01  1e+01
90:  7.4941e+02  7.6215e+02  2e+02  6e+02  1e+01  1e+01
91:  7.5402e+02  7.6348e+02  2e+02  6e+02  9e+00  9e+00
92:  7.5762e+02  7.6424e+02  2e+02  6e+02  9e+00  7e+00
93:  7.6103e+02  7.6550e+02  2e+02  5e+02  1e+01  4e+00
94:  7.6086e+02  7.6428e+02  2e+02  5e+02  9e+00  3e+00
95:  7.6243e+02  7.6417e+02  2e+02  5e+02  1e+01  2e+00
96:  7.5774e+02  7.5924e+02  2e+02  2e+03  9e+00  1e+00
97:  7.5174e+02  7.5242e+02  1e+02  2e+03  9e+00  7e-01
98:  7.4654e+02  7.4717e+02  1e+02  2e+03  9e+00  6e-01
99:  7.4261e+02  7.4317e+02  2e+02  2e+03  9e+00  6e-01
100:  7.4022e+02  7.4073e+02  2e+02  2e+03  9e+00  5e-01
Terminated (maximum number of iterations reached).
solver:chol2
     pcost       dcost       gap    pres   dres   k/t
 0:  1.9477e+02  8.3326e+02  4e+03  3e+00  1e+01  1e+00
 1:  2.1671e+04  4.2707e+04  1e+07  1e+02  9e+02  1e+02
 2:  3.2309e+02  9.3319e+02  2e+03  1e+00  1e+01  3e+02
 3:  4.6110e+02  1.2079e+03  4e+03  1e+00  2e+01  4e+02
 4:  9.1507e+02  2.1725e+03  8e+03  1e+00  4e+01  1e+03
 5:  7.0776e+04  1.6523e+05  7e+06  6e+02  3e+03  9e+04
 6:  7.8619e+04  1.8520e+05  8e+06  1e+03  4e+03  1e+05
 7:  3.9389e+05  1.0062e+06  1e+08  5e+04  2e+04  6e+05
 8:  3.7585e+05  9.4053e+05  1e+08  5e+04  2e+04  6e+05
 9:  3.2815e+05  7.3358e+05  8e+07  5e+04  1e+04  4e+05
10:  3.8380e+05  9.2250e+05  1e+08  5e+04  2e+04  5e+05
11:  4.4182e+05  9.2418e+05  1e+08  1e+05  2e+04  5e+05
12:  4.0964e+05  9.3672e+05  2e+08  2e+05  2e+04  5e+05
13:  5.1893e+05  1.2061e+06  2e+08  2e+05  2e+04  7e+05
14:  5.2093e+05  1.1989e+06  3e+08  3e+05  2e+04  7e+05
15:  5.2496e+05  1.1985e+06  3e+08  3e+05  2e+04  7e+05
16:  6.7271e+05  1.4883e+06  4e+08  4e+05  3e+04  8e+05
17:  6.3803e+05  1.3178e+06  5e+08  3e+05  2e+04  7e+05
18:  6.5847e+05  1.3667e+06  5e+08  3e+05  2e+04  7e+05
19:  6.6945e+05  1.3919e+06  6e+08  3e+05  2e+04  7e+05
20:  6.7820e+05  1.4086e+06  6e+08  3e+05  2e+04  7e+05
21:  1.1690e+06  2.5552e+06  1e+09  4e+05  4e+04  1e+06
22:  1.0766e+06  2.2177e+06  1e+09  4e+05  4e+04  1e+06
23:  1.0864e+06  2.1777e+06  1e+09  4e+05  4e+04  1e+06
24:  1.1089e+06  2.2182e+06  1e+09  4e+05  4e+04  1e+06
25:  1.2188e+06  2.4201e+06  1e+09  4e+05  4e+04  1e+06
26:  1.2510e+06  2.4658e+06  1e+09  4e+05  4e+04  1e+06
27:  1.3379e+06  2.6260e+06  2e+09  5e+05  4e+04  1e+06
28:  1.4050e+06  2.7217e+06  2e+09  7e+05  4e+04  1e+06
29:  1.4091e+06  2.6572e+06  2e+09  5e+06  4e+04  1e+06
30:  1.6232e+06  3.1751e+06  2e+09  7e+06  5e+04  2e+06
31:  1.4920e+06  2.7975e+06  2e+09  7e+06  4e+04  1e+06
32:  1.4601e+06  2.7053e+06  2e+09  7e+06  4e+04  1e+06
33:  1.4821e+06  2.5210e+06  2e+09  7e+06  4e+04  1e+06
34:  1.2872e+06  2.0611e+06  2e+09  6e+06  3e+04  8e+05
35:  1.0578e+06  1.6740e+06  1e+09  4e+06  2e+04  6e+05
36:  8.8749e+05  1.4419e+06  9e+08  2e+06  2e+04  6e+05
37:  8.5568e+05  1.3708e+06  9e+08  2e+06  2e+04  5e+05
38:  8.3081e+05  1.2872e+06  7e+08  2e+06  2e+04  5e+05
39:  7.9605e+05  1.2338e+06  7e+08  1e+06  2e+04  4e+05
40:  8.4066e+05  1.2950e+06  7e+08  1e+06  2e+04  5e+05
41:  8.0924e+05  1.2270e+06  6e+08  1e+06  2e+04  4e+05
42:  7.8398e+05  1.1791e+06  6e+08  9e+05  2e+04  4e+05
43:  8.6142e+05  1.3114e+06  6e+08  6e+05  2e+04  4e+05
44:  7.9760e+05  1.1713e+06  5e+08  5e+05  2e+04  4e+05
45:  1.0354e+06  1.4911e+06  6e+08  4e+05  2e+04  5e+05
46:  8.9185e+05  1.2212e+06  5e+08  3e+05  2e+04  3e+05
47:  8.4288e+05  1.1448e+06  5e+08  3e+05  2e+04  3e+05
48:  7.2704e+05  9.7125e+05  4e+08  3e+05  1e+04  2e+05
49:  6.5246e+05  8.7145e+05  4e+08  2e+05  1e+04  2e+05
50:  6.2542e+05  8.3219e+05  3e+08  2e+05  1e+04  2e+05
51:  5.8260e+05  7.8091e+05  3e+08  2e+05  1e+04  2e+05
52:  5.7354e+05  7.6536e+05  3e+08  2e+05  1e+04  2e+05
53:  5.6313e+05  7.4666e+05  2e+08  2e+05  1e+04  2e+05
54:  5.7419e+05  7.6792e+05  2e+08  2e+05  1e+04  2e+05
55:  5.4018e+05  6.9129e+05  2e+08  2e+05  1e+04  2e+05
56:  5.3573e+05  6.9811e+05  2e+08  4e+05  1e+04  2e+05
57:  4.4393e+05  5.2343e+05  1e+08  2e+05  8e+03  8e+04
58:  3.9541e+05  4.6454e+05  1e+08  2e+05  7e+03  7e+04
59:  3.0426e+05  3.5793e+05  7e+07  1e+05  5e+03  5e+04
60:  2.6895e+05  3.1626e+05  6e+07  1e+05  4e+03  5e+04
61:  2.3756e+05  2.7678e+05  4e+07  9e+04  4e+03  4e+04
62:  2.1585e+05  2.4768e+05  3e+07  1e+05  4e+03  3e+04
63:  1.8901e+05  2.1674e+05  2e+07  1e+05  3e+03  3e+04
64:  1.5122e+05  1.6612e+05  2e+07  1e+06  2e+03  1e+04
65:  1.4484e+05  1.5813e+05  1e+07  1e+06  2e+03  1e+04
66:  1.3844e+05  1.5066e+05  1e+07  1e+06  2e+03  1e+04
67:  1.3374e+05  1.4554e+05  1e+07  1e+06  2e+03  1e+04
68:  1.3280e+05  1.4396e+05  1e+07  7e+05  2e+03  1e+04
69:  1.3370e+05  1.4480e+05  1e+07  6e+05  2e+03  1e+04
70:  1.3076e+05  1.4073e+05  9e+06  5e+05  2e+03  1e+04
71:  1.4915e+05  1.6136e+05  9e+06  4e+05  2e+03  1e+04
72:  1.0138e+05  1.0656e+05  5e+06  4e+05  1e+03  5e+03
73:  7.6764e+04  7.7848e+04  2e+06  4e+05  1e+03  1e+03
74:  4.4836e+04  4.5078e+04  9e+05  2e+05  6e+02  2e+02
75:  1.3935e+04  1.3972e+04  1e+05  7e+04  2e+02  4e+01
76:  1.0787e+04  1.0858e+04  7e+04  5e+04  1e+02  7e+01
77:  8.6610e+03  8.8429e+03  5e+04  4e+04  1e+02  2e+02
78:  4.1441e+03  4.6241e+03  1e+04  2e+04  5e+01  5e+02
79:  2.1680e+03  2.7956e+03  4e+03  7e+03  3e+01  6e+02
80:  1.6793e+03  2.3060e+03  2e+03  5e+03  2e+01  6e+02
81:  1.2855e+03  1.8687e+03  1e+03  3e+03  2e+01  6e+02
82:  9.9225e+02  1.4130e+03  9e+02  2e+03  1e+01  4e+02
83:  7.7025e+02  9.3138e+02  5e+02  1e+03  1e+01  2e+02
84:  7.6978e+02  8.8771e+02  5e+02  1e+03  1e+01  1e+02
85:  7.5829e+02  8.3024e+02  4e+02  9e+02  1e+01  7e+01
86:  7.4254e+02  7.6866e+02  3e+02  6e+02  1e+01  3e+01
87:  7.4320e+02  7.6860e+02  3e+02  6e+02  1e+01  3e+01
88:  7.4448e+02  7.6399e+02  3e+02  6e+02  9e+00  2e+01
89:  7.4951e+02  7.6304e+02  2e+02  6e+02  1e+01  1e+01
90:  7.4972e+02  7.6247e+02  2e+02  6e+02  1e+01  1e+01
91:  7.5417e+02  7.6364e+02  2e+02  6e+02  9e+00  9e+00
92:  7.5768e+02  7.6429e+02  2e+02  6e+02  9e+00  7e+00
93:  7.6096e+02  7.6544e+02  2e+02  5e+02  9e+00  4e+00
94:  7.6082e+02  7.6424e+02  2e+02  5e+02  9e+00  3e+00
95:  7.6227e+02  7.6405e+02  2e+02  5e+02  1e+01  2e+00
96:  7.5765e+02  7.5917e+02  2e+02  2e+03  9e+00  2e+00
97:  7.5189e+02  7.5259e+02  1e+02  2e+03  9e+00  7e-01
98:  7.4656e+02  7.4720e+02  1e+02  2e+03  9e+00  6e-01
99:  7.4356e+02  7.4414e+02  2e+02  2e+03  9e+00  6e-01
100:  7.4105e+02  7.4158e+02  2e+02  2e+03  9e+00  5e-01
Terminated (maximum number of iterations reached).

Difference between two solutions: 1.726819e-03
Testing lp.py ...
solver:chol2
     pcost       dcost       gap    pres   dres   k/t
 0: -8.1000e+00 -1.8300e+01  4e+00  0e+00  8e-01  1e+00
 1: -8.2446e+00 -9.9047e+00  3e-01  8e-02  1e-01  6e-02
 2: -7.6587e+00 -8.5347e+00  9e-02  1e+00  5e-02  2e-02
 3: -7.0226e+00 -7.7110e+00  6e-02  1e+01  1e-01  1e-02
 4: -6.4985e+00 -7.0882e+00  5e-02  2e+01  2e-01  9e-03
 5: -5.5876e+00 -6.0350e+00  4e-02  2e+02  3e-01  5e-03
 6: -4.8663e+00 -5.2180e+00  3e-02  3e+02  4e-01  3e-03
 7: -4.1532e+00 -4.4125e+00  2e-02  2e+03  5e-01  2e-03
 8: -3.6054e+00 -3.8041e+00  2e-02  4e+03  6e-01  1e-03
 9: -3.1924e+00 -3.3415e+00  1e-02  2e+04  6e-01  8e-04
10: -2.8113e+00 -2.9258e+00  1e-02  4e+04  7e-01  5e-04
11: -2.5706e+00 -2.6588e+00  8e-03  2e+05  7e-01  4e-04
12: -2.2854e+00 -2.3535e+00  6e-03  4e+05  7e-01  3e-04
13: -2.1174e+00 -2.1709e+00  5e-03  2e+06  8e-01  3e-04
14: -1.9020e+00 -1.9438e+00  4e-03  4e+06  8e-01  2e-04
15: -1.7759e+00 -1.8093e+00  3e-03  2e+07  8e-01  2e-04
16: -1.6170e+00 -1.6435e+00  2e-03  4e+07  8e-01  1e-04
17: -1.5242e+00 -1.5457e+00  2e-03  2e+08  8e-01  1e-04
18: -1.4088e+00 -1.4261e+00  2e-03  4e+08  8e-01  1e-04
19: -1.3438e+00 -1.3581e+00  1e-03  2e+09  8e-01  1e-04
20: -1.2614e+00 -1.2731e+00  1e-03  5e+09  9e-01  8e-05
21: -1.2205e+00 -1.2303e+00  1e-03  2e+10  9e-01  8e-05
22: -1.1641e+00 -1.1723e+00  8e-04  5e+10  9e-01  7e-05
23: -1.1457e+00 -1.1526e+00  7e-04  3e+11  9e-01  6e-05
24: -1.1120e+00 -1.1178e+00  6e-04  6e+11  9e-01  5e-05
25: -1.1175e+00 -1.1225e+00  5e-04  3e+12  9e-01  5e-05
26: -1.1071e+00 -1.1114e+00  4e-04  7e+12  9e-01  5e-05
27: -1.1440e+00 -1.1477e+00  4e-04  3e+13  9e-01  5e-05
28: -1.1644e+00 -1.1676e+00  4e-04  8e+13  9e-01  4e-05
29: -1.2555e+00 -1.2584e+00  3e-04  3e+14  9e-01  4e-05
30: -1.3345e+00 -1.3370e+00  3e-04  1e+15  9e-01  4e-05
31: -1.5684e+00 -1.5705e+00  3e-04  4e+15  8e-01  5e-05
32: -1.8504e+00 -1.8522e+00  3e-04  1e+16  8e-01  5e-05
33: -3.2927e+00 -3.2940e+00  4e-04  5e+16  6e-01  6e-05
34: -7.2895e+00 -7.2897e+00  4e-04  1e+17  2e-01  6e-05
35: -8.2349e+00 -8.2350e+00  2e-04  2e+17  8e-02  3e-05
36: -8.1449e+00 -8.1450e+00  3e-04  3e+18  9e-02  2e-05
37: -8.1562e+00 -8.1563e+00  2e-04  5e+18  9e-02  3e-05
38: -8.5850e+00 -8.5850e+00  2e-04  4e+19  5e-02  1e-05
39: -8.7398e+00 -8.7398e+00  1e-04  7e+19  3e-02  7e-06
40: -8.5796e+00 -8.5796e+00  1e-04  2e+21  5e-02  9e-06
41: -8.5844e+00 -8.5844e+00  9e-05  2e+21  5e-02  1e-05
42: -8.7635e+00 -8.7635e+00  5e-05  1e+22  3e-02  4e-06
43: -8.6210e+00 -8.6210e+00  6e-05  3e+23  4e-02  5e-06
44: -8.6127e+00 -8.6127e+00  4e-05  5e+23  4e-02  6e-06
45: -8.7308e+00 -8.7308e+00  4e-05  4e+24  3e-02  3e-06
46: -8.8323e+00 -8.8323e+00  2e-05  7e+24  2e-02  2e-06
47: -8.7174e+00 -8.7174e+00  3e-05  2e+26  3e-02  2e-06
48: -8.6973e+00 -8.6973e+00  3e-05  2e+26  3e-02  3e-06
49: -8.8058e+00 -8.8058e+00  2e-05  2e+27  2e-02  1e-06
50: -8.8546e+00 -8.8546e+00  1e-05  4e+27  2e-02  9e-07
51: -8.7514e+00 -8.7514e+00  2e-05  1e+29  3e-02  1e-06
52: -8.7405e+00 -8.7405e+00  1e-05  1e+29  3e-02  1e-06
53: -8.8161e+00 -8.8161e+00  1e-05  1e+30  2e-02  7e-07
54: -8.8781e+00 -8.8781e+00  7e-06  2e+30  1e-02  5e-07
55: -8.7917e+00 -8.7917e+00  1e-05  5e+31  2e-02  6e-07
56: -8.7732e+00 -8.7732e+00  7e-06  7e+31  3e-02  8e-07
57: -8.8288e+00 -8.8288e+00  7e-06  7e+32  2e-02  5e-07
58: -8.9006e+00 -8.9006e+00  4e-06  1e+33  1e-02  3e-07
59: -8.8275e+00 -8.8275e+00  6e-06  2e+34  2e-02  3e-07
60: -8.8035e+00 -8.8035e+00  4e-06  3e+34  2e-02  4e-07
61: -8.8360e+00 -8.8360e+00  5e-06  3e+35  2e-02  3e-07
62: -8.9251e+00 -8.9251e+00  1e-06  4e+35  8e-03  1e-07
63: -8.8661e+00 -8.8661e+00  3e-06  8e+36  1e-02  2e-07
64: -8.8364e+00 -8.8364e+00  3e-06  1e+37  2e-02  2e-07
65: -8.8262e+00 -8.8262e+00  4e-06  2e+38  2e-02  2e-07
66: -8.9471e+00 -8.9471e+00  6e-07  2e+38  6e-03  8e-08
67: -8.9304e+00 -8.9304e+00  7e-07  3e+38  8e-03  8e-08
68: -8.8850e+00 -8.8850e+00  1e-06  5e+39  1e-02  9e-08
69: -8.8583e+00 -8.8583e+00  1e-06  1e+40  2e-02  1e-07
70: -8.8071e+00 -8.8071e+00  3e-06  2e+41  2e-02  1e-07
71: -8.9334e+00 -8.9334e+00  6e-07  2e+41  7e-03  1e-07
72: -8.9106e+00 -8.9106e+00  6e-07  3e+41  1e-02  1e-07
73: -8.8518e+00 -8.8518e+00  1e-06  5e+42  2e-02  9e-08
74: -8.8289e+00 -8.8289e+00  9e-07  8e+42  2e-02  1e-07
75: -8.8345e+00 -8.8345e+00  1e-06  1e+44  2e-02  8e-08
76: -8.9464e+00 -8.9464e+00  2e-07  1e+44  6e-03  3e-08
77: -8.9337e+00 -8.9337e+00  2e-07  3e+44  7e-03  3e-08
78: -8.9037e+00 -8.9037e+00  4e-07  4e+45  1e-02  3e-08
79: -8.8830e+00 -8.8830e+00  4e-07  8e+45  1e-02  4e-08
80: -8.8372e+00 -8.8372e+00  8e-07  2e+47  2e-02  4e-08
81: -8.8227e+00 -8.8227e+00  7e-07  2e+47  2e-02  6e-08
82: -8.8756e+00 -8.8756e+00  8e-07  3e+48  1e-02  5e-08
83: -8.9450e+00 -8.9450e+00  2e-07  3e+48  6e-03  2e-08
84: -8.9070e+00 -8.9070e+00  4e-07  5e+49  1e-02  2e-08
85: -8.8860e+00 -8.8860e+00  4e-07  9e+49  1e-02  3e-08
86: -8.8551e+00 -8.8551e+00  9e-07  2e+51  2e-02  4e-08
87: -8.9474e+00 -8.9474e+00  2e-07  1e+51  6e-03  2e-08
88: -8.9284e+00 -8.9284e+00  2e-07  2e+51  8e-03  3e-08
89: -8.8779e+00 -8.8779e+00  5e-07  4e+52  1e-02  3e-08
90: -8.8629e+00 -8.8629e+00  4e-07  7e+52  2e-02  4e-08
91: -8.9035e+00 -8.9035e+00  4e-07  6e+53  1e-02  3e-08
92: -8.9482e+00 -8.9482e+00  2e-07  9e+53  6e-03  1e-08
93: -8.9126e+00 -8.9126e+00  3e-07  2e+55  1e-02  2e-08
94: -8.8957e+00 -8.8957e+00  2e-07  3e+55  1e-02  2e-08
95: -8.8812e+00 -8.8812e+00  5e-07  4e+56  1e-02  2e-08
96: -8.9608e+00 -8.9608e+00  9e-08  4e+56  4e-03  1e-08
97: -8.9479e+00 -8.9479e+00  1e-07  7e+56  6e-03  1e-08
98: -8.9145e+00 -8.9145e+00  2e-07  1e+58  9e-03  1e-08
99: -8.8975e+00 -8.8975e+00  2e-07  2e+58  1e-02  2e-08
100: -8.8768e+00 -8.8768e+00  4e-07  4e+59  1e-02  2e-08
Terminated (maximum number of iterations reached).

status: unknown
optimal value: -8.876807
optimal x: 0.983171
optimal y: 0.988825
optimal multiplier for 1st constraint: 0.979554
optimal multiplier for 2nd constraint: 1.979382
optimal multiplier for 3rd constraint: 0.000000
optimal multiplier for 4th constraint: 0.000000

solver:chol2
     pcost       dcost       gap    pres   dres   k/t
 0: -8.1000e+00 -1.8300e+01  4e+00  0e+00  8e-01  1e+00
 1: -8.2446e+00 -9.9047e+00  3e-01  8e-02  1e-01  6e-02
 2: -7.6587e+00 -8.5347e+00  9e-02  1e+00  5e-02  2e-02
 3: -7.0226e+00 -7.7110e+00  6e-02  1e+01  1e-01  1e-02
 4: -6.4985e+00 -7.0882e+00  5e-02  2e+01  2e-01  9e-03
 5: -5.5876e+00 -6.0350e+00  4e-02  2e+02  3e-01  5e-03
 6: -4.8663e+00 -5.2180e+00  3e-02  3e+02  4e-01  3e-03
 7: -4.1532e+00 -4.4125e+00  2e-02  2e+03  5e-01  2e-03
 8: -3.6054e+00 -3.8041e+00  2e-02  4e+03  6e-01  1e-03
 9: -3.1924e+00 -3.3415e+00  1e-02  2e+04  6e-01  8e-04
10: -2.8113e+00 -2.9258e+00  1e-02  4e+04  7e-01  5e-04
11: -2.5706e+00 -2.6588e+00  8e-03  2e+05  7e-01  4e-04
12: -2.2854e+00 -2.3535e+00  6e-03  4e+05  7e-01  3e-04
13: -2.1174e+00 -2.1709e+00  5e-03  2e+06  8e-01  3e-04
14: -1.9020e+00 -1.9438e+00  4e-03  4e+06  8e-01  2e-04
15: -1.7759e+00 -1.8093e+00  3e-03  2e+07  8e-01  2e-04
16: -1.6170e+00 -1.6435e+00  2e-03  4e+07  8e-01  1e-04
17: -1.5242e+00 -1.5457e+00  2e-03  2e+08  8e-01  1e-04
18: -1.4088e+00 -1.4261e+00  2e-03  4e+08  8e-01  1e-04
19: -1.3438e+00 -1.3581e+00  1e-03  2e+09  8e-01  1e-04
20: -1.2614e+00 -1.2731e+00  1e-03  5e+09  9e-01  8e-05
21: -1.2205e+00 -1.2303e+00  1e-03  2e+10  9e-01  8e-05
22: -1.1641e+00 -1.1723e+00  8e-04  5e+10  9e-01  7e-05
23: -1.1457e+00 -1.1526e+00  7e-04  3e+11  9e-01  6e-05
24: -1.1120e+00 -1.1178e+00  6e-04  6e+11  9e-01  5e-05
25: -1.1175e+00 -1.1225e+00  5e-04  3e+12  9e-01  5e-05
26: -1.1071e+00 -1.1114e+00  4e-04  7e+12  9e-01  5e-05
27: -1.1440e+00 -1.1477e+00  4e-04  3e+13  9e-01  5e-05
28: -1.1644e+00 -1.1676e+00  4e-04  8e+13  9e-01  4e-05
29: -1.2555e+00 -1.2584e+00  3e-04  3e+14  9e-01  4e-05
30: -1.3345e+00 -1.3370e+00  3e-04  1e+15  9e-01  4e-05
31: -1.5684e+00 -1.5705e+00  3e-04  4e+15  8e-01  5e-05
32: -1.8504e+00 -1.8522e+00  3e-04  1e+16  8e-01  5e-05
33: -3.2927e+00 -3.2940e+00  4e-04  5e+16  6e-01  6e-05
34: -7.2895e+00 -7.2897e+00  4e-04  1e+17  2e-01  6e-05
35: -8.2349e+00 -8.2350e+00  2e-04  2e+17  8e-02  3e-05
36: -8.1449e+00 -8.1450e+00  3e-04  3e+18  9e-02  2e-05
37: -8.1562e+00 -8.1563e+00  2e-04  5e+18  9e-02  3e-05
38: -8.5850e+00 -8.5850e+00  2e-04  4e+19  5e-02  1e-05
39: -8.7398e+00 -8.7398e+00  1e-04  7e+19  3e-02  7e-06
40: -8.5796e+00 -8.5796e+00  1e-04  2e+21  5e-02  9e-06
41: -8.5844e+00 -8.5844e+00  9e-05  2e+21  5e-02  1e-05
42: -8.7635e+00 -8.7635e+00  5e-05  1e+22  3e-02  4e-06
43: -8.6210e+00 -8.6210e+00  6e-05  3e+23  4e-02  5e-06
44: -8.6127e+00 -8.6127e+00  4e-05  5e+23  4e-02  6e-06
45: -8.7308e+00 -8.7308e+00  4e-05  4e+24  3e-02  3e-06
46: -8.8323e+00 -8.8323e+00  2e-05  7e+24  2e-02  2e-06
47: -8.7174e+00 -8.7174e+00  3e-05  2e+26  3e-02  2e-06
48: -8.6973e+00 -8.6973e+00  3e-05  2e+26  3e-02  3e-06
49: -8.8058e+00 -8.8058e+00  2e-05  2e+27  2e-02  1e-06
50: -8.8546e+00 -8.8546e+00  1e-05  4e+27  2e-02  9e-07
51: -8.7514e+00 -8.7514e+00  2e-05  1e+29  3e-02  1e-06
52: -8.7405e+00 -8.7405e+00  1e-05  1e+29  3e-02  1e-06
53: -8.8161e+00 -8.8161e+00  1e-05  1e+30  2e-02  7e-07
54: -8.8781e+00 -8.8781e+00  7e-06  2e+30  1e-02  5e-07
55: -8.7917e+00 -8.7917e+00  1e-05  5e+31  2e-02  6e-07
56: -8.7732e+00 -8.7732e+00  7e-06  7e+31  3e-02  8e-07
57: -8.8288e+00 -8.8288e+00  7e-06  7e+32  2e-02  5e-07
58: -8.9006e+00 -8.9006e+00  4e-06  1e+33  1e-02  3e-07
59: -8.8275e+00 -8.8275e+00  6e-06  2e+34  2e-02  3e-07
60: -8.8035e+00 -8.8035e+00  4e-06  3e+34  2e-02  4e-07
61: -8.8360e+00 -8.8360e+00  5e-06  3e+35  2e-02  3e-07
62: -8.9251e+00 -8.9251e+00  1e-06  4e+35  8e-03  1e-07
63: -8.8661e+00 -8.8661e+00  3e-06  8e+36  1e-02  2e-07
64: -8.8364e+00 -8.8364e+00  3e-06  1e+37  2e-02  2e-07
65: -8.8262e+00 -8.8262e+00  4e-06  2e+38  2e-02  2e-07
66: -8.9471e+00 -8.9471e+00  6e-07  2e+38  6e-03  8e-08
67: -8.9304e+00 -8.9304e+00  7e-07  3e+38  8e-03  8e-08
68: -8.8850e+00 -8.8850e+00  1e-06  5e+39  1e-02  9e-08
69: -8.8583e+00 -8.8583e+00  1e-06  1e+40  2e-02  1e-07
70: -8.8071e+00 -8.8071e+00  3e-06  2e+41  2e-02  1e-07
71: -8.9335e+00 -8.9335e+00  6e-07  2e+41  7e-03  1e-07
72: -8.9106e+00 -8.9106e+00  6e-07  3e+41  1e-02  1e-07
73: -8.8518e+00 -8.8518e+00  1e-06  5e+42  2e-02  9e-08
74: -8.8289e+00 -8.8289e+00  9e-07  8e+42  2e-02  1e-07
75: -8.8343e+00 -8.8343e+00  1e-06  1e+44  2e-02  8e-08
76: -8.9463e+00 -8.9463e+00  2e-07  1e+44  6e-03  3e-08
77: -8.9336e+00 -8.9336e+00  2e-07  3e+44  7e-03  3e-08
78: -8.9035e+00 -8.9035e+00  4e-07  4e+45  1e-02  3e-08
79: -8.8828e+00 -8.8828e+00  4e-07  8e+45  1e-02  4e-08
80: -8.8369e+00 -8.8369e+00  8e-07  2e+47  2e-02  4e-08
81: -8.8225e+00 -8.8225e+00  7e-07  2e+47  2e-02  7e-08
82: -8.8762e+00 -8.8762e+00  8e-07  3e+48  1e-02  5e-08
83: -8.9445e+00 -8.9445e+00  2e-07  3e+48  6e-03  2e-08
84: -8.9062e+00 -8.9062e+00  4e-07  5e+49  1e-02  2e-08
85: -8.8852e+00 -8.8852e+00  4e-07  9e+49  1e-02  3e-08
86: -8.8567e+00 -8.8567e+00  9e-07  2e+51  2e-02  4e-08
87: -8.9491e+00 -8.9491e+00  2e-07  1e+51  6e-03  2e-08
88: -8.9309e+00 -8.9309e+00  2e-07  2e+51  8e-03  2e-08
89: -8.8818e+00 -8.8818e+00  5e-07  4e+52  1e-02  3e-08
90: -8.8660e+00 -8.8660e+00  4e-07  7e+52  1e-02  4e-08
91: -8.8989e+00 -8.8989e+00  4e-07  7e+53  1e-02  3e-08
92: -8.9524e+00 -8.9524e+00  1e-07  9e+53  5e-03  1e-08
93: -8.9187e+00 -8.9187e+00  2e-07  1e+55  9e-03  1e-08
94: -8.9004e+00 -8.9004e+00  2e-07  3e+55  1e-02  2e-08
95: -8.8722e+00 -8.8722e+00  5e-07  5e+56  1e-02  2e-08
96: -8.9530e+00 -8.9530e+00  1e-07  4e+56  5e-03  1e-08
97: -8.9359e+00 -8.9359e+00  1e-07  6e+56  7e-03  2e-08
98: -8.8923e+00 -8.8923e+00  3e-07  1e+58  1e-02  2e-08
99: -8.8786e+00 -8.8786e+00  2e-07  2e+58  1e-02  2e-08
100: -8.9075e+00 -8.9075e+00  3e-07  2e+59  1e-02  2e-08
Terminated (maximum number of iterations reached).

status: unknown
optimal value: -8.907507
optimal x: 

[ 9.87e-01]
[ 9.92e-01]

optimal multiplier: 

[ 9.83e-01]
[ 1.99e+00]
[ 9.31e-68]
[ 7.12e-32]

Testing normappr.py ...
solver:chol2
     pcost       dcost       gap    pres   dres   k/t
 0:  2.7283e-18 -3.0526e-18  4e+00  4e+00  7e-16  1e+00
 1:  4.3656e-02  1.6651e+00  4e+01  8e+00  4e+00  3e+00
 2:  1.1346e-01  4.6003e+00  8e+01  9e+00  1e+01  6e+00
 3:  1.1814e-01  4.8418e+00  9e+01  9e+00  1e+01  6e+00
 4:  1.1985e-01  4.3189e+00  8e+01  9e+00  2e+01  5e+00
 5:  2.1206e-01  5.0456e+00  1e+02  1e+01  1e+02  6e+00
 6:  1.0410e-01  1.8553e+00  1e+01  5e+00  2e+01  2e+00
 7:  1.1523e-01  2.2374e+00  2e+01  6e+00  2e+01  3e+00
 8:  1.5709e-01  3.0471e+00  3e+01  8e+00  3e+01  3e+00
 9:  3.5083e-01  5.3368e+00  1e+02  2e+01  6e+01  6e+00
10:  7.0734e-01  1.0724e+01  4e+02  3e+01  1e+02  1e+01
11:  1.4744e+00  2.4373e+01  9e+02  6e+01  2e+02  2e+01
12:  1.3603e+00  2.0292e+01  7e+02  6e+01  2e+02  2e+01
13:  1.8642e+00  4.0784e+01  1e+03  8e+01  4e+02  4e+01
14:  1.8697e+00  4.1692e+01  2e+03  8e+01  3e+02  4e+01
15:  1.2962e+00  1.8015e+01  9e+02  6e+01  4e+02  2e+01
16:  1.0822e+00  8.1429e+01  8e+02  5e+01  9e+02  8e+01
17:  1.6351e+00  9.3758e+01  2e+03  7e+01  8e+02  9e+01
18:  3.0015e+00  1.6223e+02  6e+03  1e+02  1e+03  2e+02
19:  3.9064e+00  2.5220e+02  1e+04  2e+02  2e+03  3e+02
20:  4.7167e+00  2.9213e+02  1e+04  2e+02  2e+03  3e+02
21:  4.6758e+00  2.8055e+02  1e+04  2e+02  2e+03  3e+02
22:  5.1372e+00  3.3104e+02  2e+04  2e+02  3e+03  3e+02
23:  3.8694e+00  1.6817e+02  1e+04  2e+02  5e+03  2e+02
24:  7.8923e+00  5.9695e+02  5e+04  3e+02  2e+04  6e+02
25:  8.1122e+00  5.9720e+02  6e+04  4e+02  2e+04  6e+02
26:  9.5940e+00  7.4592e+02  8e+04  4e+02  3e+04  7e+02
27:  9.2392e+00  6.1067e+02  7e+04  6e+02  2e+04  6e+02
28:  9.1926e+00  4.7873e+02  7e+04  5e+02  2e+04  5e+02
29:  1.0635e+01  5.7376e+02  1e+05  6e+02  2e+04  6e+02
30:  8.2154e+00  1.8383e+03  8e+04  5e+02  3e+04  2e+03
31:  1.1103e+01  2.6771e+03  2e+05  8e+02  5e+04  3e+03
32:  1.7641e+01  4.2653e+03  5e+05  5e+03  8e+04  4e+03
33:  1.7765e+01  3.7103e+03  5e+05  1e+04  7e+04  4e+03
34:  2.0866e+01  4.7228e+03  7e+05  3e+04  9e+04  5e+03
35:  3.0278e+01  7.3137e+03  2e+06  3e+06  1e+05  7e+03
36:  3.2148e+01  7.6734e+03  2e+06  5e+06  1e+05  8e+03
37:  4.6174e+01  1.1640e+04  4e+06  2e+08  2e+05  1e+04
38:  5.5519e+01  1.2094e+04  6e+06  2e+10  2e+05  1e+04
39:  5.9170e+01  1.2725e+04  7e+06  3e+10  2e+05  1e+04
40:  6.3246e+01  1.3662e+04  9e+06  3e+10  3e+05  1e+04
41:  6.5872e+01  1.3991e+04  1e+07  3e+10  3e+05  1e+04
42:  7.5879e+01  1.6088e+04  1e+07  6e+10  3e+05  2e+04
43:  8.0754e+01  1.6957e+04  1e+07  9e+10  3e+05  2e+04
44:  8.2233e+01  1.6973e+04  2e+07  2e+11  3e+05  2e+04
45:  8.6041e+01  1.7044e+04  2e+07  1e+11  3e+05  2e+04
46:  1.0118e+02  2.0031e+04  2e+07  3e+11  4e+05  2e+04
47:  1.0278e+02  1.9935e+04  2e+07  3e+12  4e+05  2e+04
48:  1.0766e+02  2.0614e+04  2e+07  6e+12  4e+05  2e+04
49:  1.1740e+02  2.2200e+04  2e+07  2e+13  4e+05  2e+04
50:  1.1872e+02  2.1795e+04  2e+07  3e+14  4e+05  2e+04
51:  1.4069e+02  2.5771e+04  3e+07  5e+14  5e+05  3e+04
52:  1.4791e+02  2.6736e+04  3e+07  1e+15  5e+05  3e+04
53:  1.5786e+02  2.8471e+04  3e+07  3e+15  6e+05  3e+04
54:  1.5717e+02  2.7858e+04  3e+07  8e+15  6e+05  3e+04
55:  1.5724e+02  2.7563e+04  3e+07  8e+16  5e+05  3e+04
56:  1.5806e+02  2.7246e+04  3e+07  2e+17  5e+05  3e+04
57:  1.5978e+02  2.6835e+04  3e+07  4e+18  5e+05  3e+04
58:  1.9631e+02  3.2880e+04  4e+07  5e+18  7e+05  3e+04
59:  2.0509e+02  3.3390e+04  4e+07  3e+18  7e+05  3e+04
60:  2.3551e+02  3.7267e+04  5e+07  7e+18  8e+05  4e+04
61:  2.3707e+02  3.6674e+04  5e+07  6e+19  8e+05  4e+04
62:  2.3610e+02  3.5694e+04  5e+07  1e+20  8e+05  4e+04
63:  2.4638e+02  3.6669e+04  5e+07  3e+20  8e+05  4e+04
64:  2.4717e+02  3.6110e+04  5e+07  9e+20  8e+05  4e+04
65:  2.4355e+02  3.4671e+04  5e+07  3e+22  8e+05  3e+04
66:  2.5107e+02  3.4958e+04  5e+07  4e+22  8e+05  3e+04
67:  2.6708e+02  3.6582e+04  5e+07  5e+22  9e+05  4e+04
68:  2.6155e+02  3.5353e+04  5e+07  4e+22  8e+05  4e+04
69:  3.1006e+02  4.0512e+04  6e+07  9e+22  1e+06  4e+04
70:  2.9966e+02  3.7843e+04  6e+07  1e+23  9e+05  4e+04
71:  2.9808e+02  3.6853e+04  6e+07  2e+23  9e+05  4e+04
72:  2.8462e+02  3.4223e+04  6e+07  1e+23  9e+05  3e+04
73:  2.9342e+02  3.3022e+04  6e+07  3e+23  9e+05  3e+04
74:  2.7522e+02  2.9109e+04  5e+07  6e+24  8e+05  3e+04
75:  2.6949e+02  2.8048e+04  5e+07  7e+24  8e+05  3e+04
76:  2.5757e+02  2.5771e+04  5e+07  1e+25  8e+05  3e+04
77:  2.5100e+02  2.4735e+04  5e+07  3e+25  8e+05  2e+04
78:  2.3832e+02  2.2689e+04  4e+07  9e+26  7e+05  2e+04
79:  2.2492e+02  2.0555e+04  4e+07  1e+27  7e+05  2e+04
80:  2.1965e+02  1.9037e+04  4e+07  2e+27  6e+05  2e+04
81:  2.0464e+02  1.7109e+04  3e+07  1e+27  6e+05  2e+04
82:  1.9015e+02  1.4566e+04  3e+07  2e+27  6e+05  1e+04
83:  1.7348e+02  1.2353e+04  2e+07  5e+28  5e+05  1e+04
84:  1.6333e+02  1.1121e+04  2e+07  6e+28  5e+05  1e+04
85:  1.5143e+02  8.1735e+03  2e+07  8e+28  4e+05  8e+03
86:  1.0515e+02  4.2515e+03  9e+06  6e+28  3e+05  4e+03
87:  6.2517e+01  1.4309e+03  3e+06  8e+28  2e+05  1e+03
88:  2.2673e+01  3.5062e+02  4e+05  6e+29  6e+04  3e+02
89:  1.7408e+01  2.7113e+02  2e+05  5e+29  5e+04  3e+02
90:  6.5896e+00  1.0405e+02  4e+04  3e+29  2e+04  1e+02
91:  5.4096e+00  1.0050e+02  2e+04  3e+29  1e+04  1e+02
92:  3.5495e+00  6.2382e+01  1e+04  3e+29  1e+04  6e+01
93:  2.7931e+00  5.0819e+01  7e+03  4e+29  7e+03  5e+01
94:  2.8346e+00  6.1595e+01  7e+03  2e+29  7e+03  6e+01
95:  2.0238e+00  3.0599e+01  3e+03  4e+29  5e+03  3e+01
96:  2.1234e+00  3.3760e+01  3e+03  4e+30  6e+03  3e+01
97:  2.1666e+00  3.6910e+01  4e+03  1e+31  6e+03  3e+01
98:  2.4261e+00  4.5744e+01  5e+03  2e+32  6e+03  4e+01
99:  2.1233e+00  3.5735e+01  3e+03  2e+32  6e+03  3e+01
100:  2.3308e+00  4.1526e+01  4e+03  3e+32  6e+03  4e+01
Terminated (maximum number of iterations reached).
solver:chol2
     pcost       dcost       gap    pres   dres   k/t
 0:  0.0000e+00  1.4558e-15  2e+03  4e+00  3e-15  1e+00
 1:  3.0119e+02  3.0372e+02  5e+03  3e+00  3e+00  3e+00
 2:  1.0740e+03  1.0801e+03  8e+03  3e+00  8e+00  6e+00
 3:  1.1024e+03  1.1087e+03  8e+03  4e+00  9e+00  6e+00
 4:  1.3627e+03  1.3713e+03  1e+04  5e+00  1e+01  9e+00
 5:  1.7028e+03  1.7138e+03  1e+04  7e+00  1e+01  1e+01
 6:  3.3272e+03  3.3467e+03  2e+04  5e+01  3e+01  2e+01
 7:  3.3392e+03  3.3588e+03  2e+04  6e+01  3e+01  2e+01
 8:  3.2751e+03  3.2940e+03  2e+04  5e+01  3e+01  2e+01
 9:  3.4354e+03  3.4561e+03  2e+04  6e+01  4e+01  2e+01
10:  3.2885e+03  3.3071e+03  2e+04  3e+02  3e+01  2e+01
11:  3.6993e+03  3.7223e+03  3e+04  7e+02  1e+02  2e+01
12:  3.5638e+03  3.5854e+03  3e+04  2e+03  1e+02  2e+01
13:  3.4908e+03  3.5121e+03  3e+04  3e+03  1e+02  2e+01
14:  3.4127e+03  3.4331e+03  3e+04  4e+03  1e+02  2e+01
15:  3.4225e+03  3.4429e+03  3e+04  8e+03  1e+02  2e+01
16:  3.2956e+03  3.3143e+03  3e+04  8e+03  1e+02  2e+01
17:  3.2435e+03  3.2614e+03  2e+04  8e+03  1e+02  2e+01
18:  3.2522e+03  3.2702e+03  3e+04  8e+03  1e+02  2e+01
19:  3.1921e+03  3.2094e+03  2e+04  8e+03  1e+02  2e+01
20:  3.2044e+03  3.2217e+03  3e+04  7e+03  9e+01  2e+01
21:  3.0822e+03  3.0981e+03  2e+04  7e+03  1e+02  2e+01
22:  2.9956e+03  3.0090e+03  2e+04  6e+03  9e+01  1e+01
23:  2.5004e+03  2.5105e+03  2e+04  4e+03  8e+01  1e+01
24:  2.4095e+03  2.4193e+03  2e+04  4e+03  8e+01  1e+01
25:  2.3725e+03  2.3824e+03  2e+04  4e+03  8e+01  1e+01
26:  2.2476e+03  2.2571e+03  2e+04  3e+03  7e+01  1e+01
27:  2.1135e+03  2.1232e+03  2e+04  3e+03  7e+01  1e+01
28:  1.9136e+03  1.9222e+03  2e+04  3e+03  7e+01  9e+00
29:  1.7632e+03  1.7706e+03  1e+04  3e+03  7e+01  7e+00
30:  1.6682e+03  1.6754e+03  1e+04  2e+03  7e+01  7e+00
31:  1.6329e+03  1.6399e+03  1e+04  2e+03  7e+01  7e+00
32:  1.4866e+03  1.4926e+03  8e+03  2e+03  6e+01  6e+00
33:  1.3847e+03  1.3897e+03  7e+03  2e+03  6e+01  5e+00
34:  1.3792e+03  1.3842e+03  7e+03  2e+03  6e+01  5e+00
35:  1.3821e+03  1.3871e+03  7e+03  2e+03  6e+01  5e+00
36:  1.3580e+03  1.3629e+03  7e+03  2e+03  6e+01  5e+00
37:  1.2850e+03  1.2887e+03  5e+03  1e+03  6e+01  4e+00
38:  1.2632e+03  1.2667e+03  5e+03  2e+03  6e+01  4e+00
39:  1.2494e+03  1.2529e+03  5e+03  2e+03  6e+01  3e+00
40:  1.2342e+03  1.2370e+03  4e+03  2e+03  7e+01  3e+00
41:  1.2179e+03  1.2207e+03  4e+03  3e+03  7e+01  3e+00
42:  1.1950e+03  1.1977e+03  4e+03  3e+03  7e+01  3e+00
43:  1.1692e+03  1.1712e+03  3e+03  4e+03  7e+01  2e+00
44:  1.1428e+03  1.1446e+03  3e+03  6e+03  7e+01  2e+00
45:  1.1234e+03  1.1253e+03  3e+03  7e+03  7e+01  2e+00
46:  1.1334e+03  1.1353e+03  3e+03  7e+03  7e+01  2e+00
47:  1.1034e+03  1.1053e+03  3e+03  7e+03  7e+01  2e+00
48:  1.1174e+03  1.1194e+03  3e+03  8e+03  7e+01  2e+00
49:  1.0806e+03  1.0823e+03  3e+03  1e+04  7e+01  2e+00
50:  1.0927e+03  1.0943e+03  3e+03  1e+04  7e+01  2e+00
51:  1.0801e+03  1.0812e+03  2e+03  2e+04  8e+01  1e+00
52:  1.0723e+03  1.0734e+03  2e+03  4e+04  7e+01  1e+00
53:  1.0408e+03  1.0420e+03  2e+03  7e+04  7e+01  1e+00
54:  1.0326e+03  1.0337e+03  2e+03  7e+04  7e+01  1e+00
55:  1.0211e+03  1.0223e+03  2e+03  7e+04  7e+01  1e+00
56:  1.0044e+03  1.0056e+03  2e+03  7e+04  7e+01  1e+00
57:  9.7888e+02  9.8006e+02  2e+03  7e+04  7e+01  1e+00
58:  9.7130e+02  9.7249e+02  2e+03  7e+04  7e+01  1e+00
59:  9.6842e+02  9.6963e+02  2e+03  7e+04  7e+01  1e+00
60:  9.5679e+02  9.5800e+02  2e+03  7e+04  7e+01  1e+00
61:  9.4425e+02  9.4546e+02  2e+03  6e+04  6e+01  1e+00
62:  9.2585e+02  9.2704e+02  2e+03  6e+04  6e+01  1e+00
63:  9.3031e+02  9.3137e+02  2e+03  6e+04  7e+01  1e+00
64:  9.1397e+02  9.1506e+02  2e+03  6e+04  6e+01  1e+00
65:  9.2168e+02  9.2281e+02  2e+03  6e+04  6e+01  1e+00
66:  9.0883e+02  9.0990e+02  2e+03  6e+04  6e+01  1e+00
67:  9.2208e+02  9.2316e+02  2e+03  7e+04  6e+01  1e+00
68:  9.0515e+02  9.0613e+02  2e+03  7e+04  6e+01  1e+00
69:  9.1335e+02  9.1430e+02  2e+03  8e+04  7e+01  9e-01
70:  8.8599e+02  8.8695e+02  1e+03  8e+04  6e+01  1e+00
71:  8.9688e+02  8.9788e+02  2e+03  8e+04  6e+01  1e+00
72:  8.8824e+02  8.8913e+02  1e+03  9e+04  6e+01  9e-01
73:  9.0167e+02  9.0256e+02  1e+03  1e+05  7e+01  9e-01
74:  8.8236e+02  8.8314e+02  1e+03  1e+05  6e+01  8e-01
75:  8.6491e+02  8.6569e+02  1e+03  1e+05  6e+01  8e-01
76:  8.5212e+02  8.5289e+02  1e+03  1e+05  6e+01  8e-01
77:  8.8624e+02  8.8677e+02  9e+02  2e+05  7e+01  5e-01
78:  8.7199e+02  8.7257e+02  1e+03  3e+05  7e+01  6e-01
79:  8.6452e+02  8.6507e+02  9e+02  3e+05  7e+01  6e-01
80:  8.1861e+02  8.1924e+02  9e+02  3e+05  6e+01  6e-01
81:  8.1663e+02  8.1727e+02  9e+02  3e+05  6e+01  6e-01
82:  8.1447e+02  8.1510e+02  9e+02  3e+05  6e+01  6e-01
83:  8.0941e+02  8.1008e+02  1e+03  3e+05  6e+01  7e-01
84:  7.7504e+02  7.7566e+02  9e+02  3e+05  6e+01  6e-01
85:  7.6355e+02  7.6413e+02  9e+02  3e+05  6e+01  6e-01
86:  7.5094e+02  7.5151e+02  9e+02  3e+05  6e+01  6e-01
87:  7.3890e+02  7.3943e+02  8e+02  3e+05  6e+01  5e-01
88:  7.5386e+02  7.5428e+02  7e+02  3e+05  6e+01  4e-01
89:  7.4867e+02  7.4909e+02  7e+02  3e+05  6e+01  4e-01
90:  7.4951e+02  7.4994e+02  7e+02  3e+05  6e+01  4e-01
91:  7.4212e+02  7.4255e+02  7e+02  3e+05  6e+01  4e-01
92:  7.4461e+02  7.4505e+02  7e+02  3e+05  6e+01  4e-01
93:  7.3410e+02  7.3453e+02  7e+02  3e+05  6e+01  4e-01
94:  7.3910e+02  7.3951e+02  7e+02  4e+05  6e+01  4e-01
95:  7.2736e+02  7.2778e+02  7e+02  4e+05  6e+01  4e-01
96:  7.2532e+02  7.2574e+02  7e+02  4e+05  6e+01  4e-01
97:  7.1987e+02  7.2024e+02  6e+02  4e+05  6e+01  4e-01
98:  7.1436e+02  7.1472e+02  6e+02  5e+05  6e+01  4e-01
99:  7.0127e+02  7.0163e+02  6e+02  5e+05  6e+01  4e-01
100:  6.8361e+02  6.8397e+02  6e+02  6e+05  6e+01  4e-01
Terminated (maximum number of iterations reached).
solver:chol2
     pcost       dcost       gap    pres   dres   k/t
 0: -6.0000e+02 -6.0000e+02  3e+03  3e+00  5e-15  1e+00
 1: -4.6937e+04 -4.6857e+04  6e+06  1e+02  8e+01  1e+02
 2: -4.5501e+06 -4.5159e+06  5e+10  1e+04  8e+03  4e+04
 3: -4.3673e+04 -3.9246e+04  2e+06  7e+01  8e+01  4e+03
 4: -4.4452e+04 -3.9802e+04  2e+06  7e+01  9e+01  5e+03
 5: -5.2367e+04 -4.5149e+04  2e+06  8e+01  1e+02  7e+03
 6: -1.1401e+05 -8.4581e+04  8e+06  2e+02  5e+02  3e+04
 7: -1.1051e+05 -7.9331e+04  8e+06  4e+02  5e+02  3e+04
 8: -1.1097e+05 -7.7391e+04  8e+06  2e+04  5e+02  3e+04
 9: -1.2690e+05 -7.3045e+04  1e+07  4e+04  1e+03  5e+04
10: -1.2692e+05 -6.7989e+04  1e+07  5e+05  1e+03  6e+04
11: -1.2709e+05 -6.4683e+04  1e+07  9e+05  1e+03  6e+04
12: -1.6086e+05 -6.0256e+04  3e+07  3e+06  2e+03  1e+05
13: -1.7040e+05 -6.0476e+04  4e+07  6e+06  2e+03  1e+05
14: -1.9853e+05 -7.0259e+04  7e+07  1e+07  2e+03  1e+05
15: -2.8726e+05 -8.7729e+04  2e+08  3e+07  4e+03  2e+05
16: -3.0286e+05 -9.6870e+04  2e+08  3e+07  4e+03  2e+05
17: -3.6108e+05 -1.2413e+05  3e+08  4e+07  5e+03  2e+05
18: -5.5738e+05 -1.9631e+05  7e+08  1e+08  1e+04  4e+05
19: -5.6579e+05 -1.9863e+05  7e+08  1e+08  1e+04  4e+05
20: -5.7782e+05 -2.0215e+05  8e+08  2e+08  1e+04  4e+05
21: -6.1483e+05 -2.1575e+05  9e+08  2e+08  1e+04  4e+05
22: -6.4976e+05 -2.3035e+05  1e+09  2e+08  1e+04  4e+05
23: -6.5728e+05 -2.3238e+05  1e+09  2e+08  1e+04  4e+05
24: -7.2197e+05 -2.5836e+05  1e+09  3e+08  1e+04  5e+05
25: -7.2798e+05 -2.5878e+05  1e+09  3e+08  1e+04  5e+05
26: -7.4930e+05 -2.7208e+05  1e+09  3e+08  1e+04  5e+05
27: -7.4629e+05 -2.7718e+05  1e+09  3e+08  1e+04  5e+05
28: -8.9412e+05 -3.3517e+05  2e+09  4e+08  2e+04  6e+05
29: -8.8790e+05 -3.3537e+05  2e+09  4e+08  2e+04  6e+05
30: -8.9454e+05 -3.4129e+05  2e+09  4e+08  3e+04  6e+05
31: -9.3586e+05 -3.6106e+05  2e+09  5e+08  4e+04  6e+05
32: -9.8116e+05 -3.8152e+05  2e+09  5e+08  4e+04  6e+05
33: -9.5163e+05 -3.8237e+05  2e+09  5e+08  4e+04  6e+05
34: -9.4547e+05 -3.9667e+05  2e+09  5e+08  5e+04  5e+05
35: -8.5582e+05 -3.7561e+05  2e+09  5e+08  4e+04  5e+05
36: -1.1084e+06 -5.6729e+05  2e+09  9e+08  8e+04  5e+05
37: -9.8636e+05 -5.4872e+05  2e+09  8e+08  6e+04  4e+05
38: -8.4170e+05 -5.6107e+05  1e+09  8e+08  6e+04  3e+05
39: -4.8168e+05 -3.9182e+05  5e+08  5e+08  3e+04  9e+04
40: -1.1994e+05 -1.1972e+05  3e+07  1e+08  9e+03  2e+02
41: -2.7971e+04 -2.5267e+04  2e+06  3e+07  2e+03  3e+03
42: -2.6554e+04 -2.3887e+04  2e+06  3e+07  2e+03  3e+03
43: -2.2627e+04 -2.0184e+04  1e+06  2e+07  2e+03  2e+03
44: -2.1462e+04 -1.9073e+04  1e+06  2e+07  2e+03  2e+03
45: -1.8644e+04 -1.6493e+04  9e+05  2e+07  1e+03  2e+03
46: -1.7275e+04 -1.5241e+04  7e+05  1e+07  1e+03  2e+03
47: -1.2480e+04 -1.1279e+04  3e+05  1e+07  1e+03  1e+03
48: -1.1269e+04 -1.0173e+04  3e+05  9e+06  1e+03  1e+03
49: -9.2116e+03 -8.4223e+03  2e+05  7e+06  8e+02  8e+02
50: -9.3143e+03 -8.5014e+03  2e+05  7e+06  8e+02  8e+02
51: -9.5460e+03 -8.6815e+03  2e+05  7e+06  9e+02  9e+02
52: -7.5024e+03 -6.9215e+03  1e+05  6e+06  7e+02  6e+02
53: -6.6969e+03 -6.1884e+03  9e+04  5e+06  6e+02  5e+02
54: -6.0194e+03 -5.5815e+03  7e+04  5e+06  6e+02  4e+02
55: -5.3693e+03 -4.9984e+03  6e+04  4e+06  6e+02  4e+02
56: -4.7779e+03 -4.4586e+03  5e+04  3e+06  5e+02  3e+02
57: -3.8667e+03 -3.6250e+03  3e+04  2e+06  5e+02  2e+02
58: -3.3263e+03 -3.1448e+03  3e+04  2e+06  4e+02  2e+02
59: -3.3160e+03 -3.1349e+03  3e+04  2e+06  4e+02  2e+02
60: -3.2878e+03 -3.1085e+03  3e+04  2e+06  4e+02  2e+02
61: -3.2812e+03 -3.1026e+03  3e+04  2e+06  4e+02  2e+02
62: -3.2819e+03 -3.1044e+03  3e+04  2e+06  4e+02  2e+02
63: -3.3661e+03 -3.1817e+03  3e+04  2e+06  4e+02  2e+02
64: -3.1974e+03 -3.0365e+03  3e+04  3e+06  4e+02  2e+02
65: -3.5494e+03 -3.3632e+03  4e+04  4e+06  5e+02  2e+02
66: -3.7413e+03 -3.5366e+03  4e+04  4e+06  5e+02  2e+02
67: -3.8404e+03 -3.6254e+03  5e+04  4e+06  5e+02  2e+02
68: -4.0132e+03 -3.7798e+03  5e+04  5e+06  6e+02  2e+02
69: -4.0475e+03 -3.8093e+03  6e+04  5e+06  6e+02  2e+02
70: -4.0773e+03 -3.8349e+03  6e+04  5e+06  6e+02  2e+02
71: -4.0742e+03 -3.8318e+03  6e+04  5e+06  6e+02  2e+02
72: -4.0054e+03 -3.7711e+03  6e+04  5e+06  6e+02  2e+02
73: -3.9129e+03 -3.6867e+03  6e+04  5e+06  6e+02  2e+02
74: -3.7735e+03 -3.5610e+03  6e+04  5e+06  5e+02  2e+02
75: -3.7128e+03 -3.5064e+03  6e+04  5e+06  5e+02  2e+02
76: -3.3122e+03 -3.1492e+03  5e+04  5e+06  5e+02  2e+02
77: -3.1277e+03 -2.9850e+03  5e+04  5e+06  5e+02  1e+02
78: -2.6150e+03 -2.5298e+03  3e+04  6e+06  4e+02  9e+01
79: -2.5254e+03 -2.4548e+03  3e+04  7e+06  4e+02  7e+01
80: -2.5048e+03 -2.4372e+03  3e+04  7e+06  4e+02  7e+01
81: -2.4773e+03 -2.4144e+03  3e+04  7e+06  4e+02  6e+01
82: -2.4601e+03 -2.4007e+03  3e+04  7e+06  4e+02  6e+01
83: -2.4459e+03 -2.3938e+03  3e+04  8e+06  4e+02  5e+01
84: -2.4663e+03 -2.4182e+03  4e+04  9e+06  4e+02  5e+01
85: -2.6915e+03 -2.6472e+03  4e+04  1e+07  5e+02  4e+01
86: -2.8666e+03 -2.8188e+03  5e+04  1e+07  5e+02  5e+01
87: -2.8340e+03 -2.7877e+03  5e+04  1e+07  5e+02  5e+01
88: -2.7438e+03 -2.7048e+03  5e+04  1e+07  5e+02  4e+01
89: -2.5726e+03 -2.5398e+03  5e+04  1e+07  5e+02  3e+01
90: -3.0533e+03 -3.0101e+03  7e+04  1e+07  6e+02  4e+01
91: -2.9341e+03 -2.8933e+03  7e+04  1e+07  6e+02  4e+01
92: -2.2193e+03 -2.1995e+03  5e+04  9e+06  4e+02  2e+01
93: -2.0622e+03 -2.0450e+03  4e+04  8e+06  4e+02  2e+01
94: -1.9746e+03 -1.9586e+03  4e+04  7e+06  4e+02  2e+01
95: -1.9533e+03 -1.9376e+03  4e+04  7e+06  4e+02  2e+01
96: -1.8268e+03 -1.8133e+03  4e+04  7e+06  4e+02  1e+01
97: -1.8089e+03 -1.7956e+03  4e+04  7e+06  4e+02  1e+01
98: -1.6596e+03 -1.6490e+03  3e+04  7e+06  4e+02  1e+01
99: -1.6323e+03 -1.6220e+03  3e+04  7e+06  4e+02  1e+01
100: -1.5146e+03 -1.5064e+03  3e+04  8e+06  4e+02  8e+00
Terminated (maximum number of iterations reached).
Testing roblp.py ...
solver:chol2
     pcost       dcost       gap    pres   dres   k/t
 0:  6.4689e-02 -2.5969e+02  1e+03  3e+00  5e+02  1e+00
 1: -7.4543e-02 -1.3742e+02  6e+02  2e+00  4e+02  1e+01
 2: -5.1016e-02 -2.3269e+01  3e+01  3e-01  9e+01  9e+00
 3: -6.6962e-02 -1.6294e+01  2e+01  3e-01  7e+01  6e+00
 4: -6.8501e-02 -1.0314e+01  9e+00  5e-01  5e+01  3e+00
 5: -6.7752e-02 -6.5583e+00  5e+00  7e-01  4e+01  2e+00
 6: -6.7114e-02 -5.4254e+00  5e+00  5e-01  3e+01  2e+00
 7: -5.3948e-02 -3.9727e+00  3e+00  5e-01  2e+01  1e+00
 8: -5.0431e-02 -3.6476e+00  3e+00  6e-01  2e+01  1e+00
 9: -4.5741e-02 -2.9531e+00  3e+00  6e-01  2e+01  8e-01
10: -4.1919e-02 -2.3521e+00  2e+00  6e-01  1e+01  6e-01
11: -3.8736e-02 -2.1538e+00  2e+00  5e-01  1e+01  4e-01
12: -3.6823e-02 -2.0890e+00  2e+00  5e-01  1e+01  4e-01
13: -3.6818e-02 -1.9774e+00  2e+00  5e-01  1e+01  3e-01
14: -3.5527e-02 -1.8736e+00  1e+00  5e-01  9e+00  3e-01
15: -3.2271e-02 -1.5725e+00  1e+00  5e-01  8e+00  2e-01
16: -2.6178e-02 -1.2475e+00  1e+00  6e-01  6e+00  1e-01
17: -2.2123e-02 -8.5096e-01  8e-01  5e-01  4e+00  6e-02
18: -1.8460e-02 -5.4317e-01  5e-01  5e-01  3e+00  3e-02
19: -1.6418e-02 -4.3774e-01  4e-01  5e-01  2e+00  2e-02
20: -1.3166e-02 -2.6326e-01  2e-01  4e-01  2e+00  1e-02
21: -1.1239e-02 -1.8785e-01  1e-01  4e-01  1e+00  1e-02
22: -9.7261e-03 -1.5031e-01  1e-01  4e-01  1e+00  9e-03
23: -8.1065e-03 -1.0740e-01  9e-02  4e-01  1e+00  6e-03
24: -7.3111e-03 -9.1272e-02  8e-02  4e-01  1e+00  6e-03
25: -6.5382e-03 -7.6890e-02  7e-02  4e-01  1e+00  5e-03
26: -4.9009e-03 -5.0176e-02  4e-02  5e-01  1e+00  3e-03
27: -3.7667e-03 -3.4545e-02  3e-02  4e-01  1e+00  2e-03
28: -3.5807e-03 -3.3019e-02  3e-02  4e-01  1e+00  2e-03
29: -2.9508e-03 -2.4282e-02  2e-02  3e-01  1e+00  1e-03
30: -2.7718e-03 -2.2106e-02  2e-02  3e-01  1e+00  1e-03
31: -2.2758e-03 -1.4550e-02  1e-02  3e-01  1e+00  7e-04
32: -1.8336e-03 -1.0147e-02  7e-03  3e-01  1e+00  5e-04
33: -1.6014e-03 -8.0852e-03  6e-03  3e-01  1e+00  4e-04
34: -1.5984e-03 -8.0708e-03  6e-03  3e-01  1e+00  4e-04
35: -1.4259e-03 -6.5851e-03  5e-03  3e-01  1e+00  3e-04
36: -1.2168e-03 -4.6092e-03  3e-03  4e-01  1e+00  2e-04
37: -1.1591e-03 -4.3351e-03  3e-03  4e-01  1e+00  2e-04
38: -1.1843e-03 -4.5038e-03  3e-03  3e-01  1e+00  2e-04
39: -1.1597e-03 -4.3183e-03  3e-03  3e-01  1e+00  2e-04
40: -1.1217e-03 -4.0327e-03  3e-03  3e-01  1e+00  2e-04
41: -1.0462e-03 -3.5785e-03  2e-03  3e-01  1e+00  1e-04
42: -9.1678e-04 -2.7685e-03  2e-03  4e-01  1e+00  8e-05
43: -8.6520e-04 -2.5220e-03  1e-03  4e-01  9e-01  6e-05
44: -8.1183e-04 -2.2701e-03  1e-03  4e-01  9e-01  5e-05
45: -7.9508e-04 -2.1691e-03  9e-04  4e-01  9e-01  4e-05
46: -7.2379e-04 -1.8452e-03  7e-04  5e-01  9e-01  3e-05
47: -6.6384e-04 -1.5608e-03  6e-04  5e-01  9e-01  2e-05
48: -6.3890e-04 -1.3844e-03  5e-04  5e-01  9e-01  1e-05
49: -6.3249e-04 -1.3070e-03  5e-04  5e-01  9e-01  8e-06
50: -6.4713e-04 -1.3630e-03  6e-04  5e-01  9e-01  8e-06
51: -6.5600e-04 -1.3942e-03  6e-04  5e-01  9e-01  8e-06
52: -6.8158e-04 -1.4059e-03  6e-04  5e-01  9e-01  8e-06
53: -6.7407e-04 -1.4011e-03  6e-04  4e-01  9e-01  7e-06
54: -6.3421e-04 -1.2893e-03  5e-04  5e-01  9e-01  6e-06
55: -7.9492e-04 -1.3911e-03  7e-04  4e-01  9e-01  3e-06
56: -8.7825e-04 -1.4965e-03  9e-04  4e-01  1e+00  2e-06
57: -1.2175e-03 -1.7296e-03  1e-03  3e-01  1e+00  2e-06
58: -1.5849e-03 -2.0418e-03  1e-03  3e-01  1e+00  2e-06
59: -1.5891e-03 -1.9713e-03  1e-03  4e-01  1e+00  1e-06
60: -1.6960e-03 -2.0290e-03  1e-03  4e-01  1e+00  1e-06
61: -1.7330e-03 -2.0644e-03  1e-03  4e-01  1e+00  1e-06
62: -1.7312e-03 -2.0611e-03  1e-03  4e-01  1e+00  1e-06
63: -2.3860e-03 -2.6339e-03  1e-03  4e-01  1e+00  1e-06
64: -2.6873e-03 -2.9201e-03  1e-03  4e-01  1e+00  1e-06
65: -2.8487e-03 -3.0902e-03  1e-03  4e-01  1e+00  1e-06
66: -2.8624e-03 -3.0986e-03  1e-03  4e-01  2e+00  1e-06
67: -2.9968e-03 -3.2307e-03  1e-03  4e-01  2e+00  1e-06
68: -2.9981e-03 -3.2271e-03  1e-03  4e-01  2e+00  1e-06
69: -2.8604e-03 -3.0765e-03  1e-03  4e-01  2e+00  1e-06
70: -3.7727e-03 -3.9728e-03  1e-03  4e-01  2e+00  2e-06
71: -4.3321e-03 -4.5298e-03  2e-03  4e-01  2e+00  2e-06
72: -5.6575e-03 -5.8275e-03  2e-03  3e-01  3e+00  2e-06
73: -5.8794e-03 -6.0538e-03  2e-03  9e-01  3e+00  2e-06
74: -6.1329e-03 -6.3069e-03  2e-03  1e+00  3e+00  2e-06
75: -6.0812e-03 -6.2515e-03  2e-03  9e-01  3e+00  2e-06
76: -5.9876e-03 -6.1545e-03  2e-03  9e-01  3e+00  2e-06
77: -6.2715e-03 -6.4283e-03  2e-03  1e+00  3e+00  2e-06
78: -6.3596e-03 -6.5181e-03  2e-03  8e-01  3e+00  2e-06
79: -6.3673e-03 -6.5251e-03  3e-03  8e-01  3e+00  2e-06
80: -6.1084e-03 -6.2579e-03  3e-03  6e-01  3e+00  2e-06
81: -6.8495e-03 -6.9980e-03  4e-03  6e-01  4e+00  2e-06
82: -8.6311e-03 -8.7670e-03  5e-03  9e-01  5e+00  4e-06
83: -8.6106e-03 -8.7461e-03  5e-03  9e-01  5e+00  4e-06
84: -8.6144e-03 -8.7499e-03  5e-03  9e-01  5e+00  4e-06
85: -8.8242e-03 -8.9629e-03  6e-03  1e+00  5e+00  4e-06
86: -8.6739e-03 -8.8074e-03  6e-03  2e+00  5e+00  4e-06
87: -8.2531e-03 -8.3778e-03  6e-03  2e+00  5e+00  4e-06
88: -8.0186e-03 -8.1394e-03  6e-03  2e+00  5e+00  4e-06
89: -8.1079e-03 -8.2170e-03  7e-03  3e+00  5e+00  5e-06
90: -9.1148e-03 -9.2075e-03  1e-02  3e+00  6e+00  7e-06
91: -9.4499e-03 -9.5373e-03  1e-02  3e+00  7e+00  8e-06
92: -1.1146e-02 -1.1222e-02  2e-02  3e+00  8e+00  9e-06
93: -1.1569e-02 -1.1644e-02  2e-02  3e+00  9e+00  1e-05
94: -1.2588e-02 -1.2661e-02  2e-02  3e+00  1e+01  1e-05
95: -1.3313e-02 -1.3386e-02  2e-02  3e+00  1e+01  2e-05
96: -1.7712e-02 -1.7750e-02  3e-02  7e+00  1e+01  2e-05
97: -1.6085e-02 -1.6108e-02  2e-02  6e+00  1e+01  2e-05
98: -1.7586e-02 -1.7602e-02  2e-02  8e+00  1e+01  2e-05
99: -1.6197e-02 -1.6213e-02  2e-02  7e+00  1e+01  2e-05
100: -1.7087e-02 -1.7102e-02  2e-02  1e+01  1e+01  2e-05
Terminated (maximum number of iterations reached).
solver:chol2
     pcost       dcost       gap    pres   dres   k/t
 0:  6.4689e-02 -2.5969e+02  1e+03  3e+00  5e+02  1e+00
 1: -7.4543e-02 -1.3742e+02  6e+02  2e+00  4e+02  1e+01
 2: -5.1016e-02 -2.3269e+01  3e+01  3e-01  9e+01  9e+00
 3: -6.6962e-02 -1.6294e+01  2e+01  3e-01  7e+01  6e+00
 4: -6.8501e-02 -1.0314e+01  9e+00  5e-01  5e+01  3e+00
 5: -6.7752e-02 -6.5583e+00  5e+00  7e-01  4e+01  2e+00
 6: -6.7114e-02 -5.4254e+00  5e+00  5e-01  3e+01  2e+00
 7: -5.3948e-02 -3.9727e+00  3e+00  5e-01  2e+01  1e+00
 8: -5.0431e-02 -3.6476e+00  3e+00  6e-01  2e+01  1e+00
 9: -4.5741e-02 -2.9531e+00  3e+00  6e-01  2e+01  8e-01
10: -4.1919e-02 -2.3521e+00  2e+00  6e-01  1e+01  6e-01
11: -3.8736e-02 -2.1538e+00  2e+00  5e-01  1e+01  4e-01
12: -3.6823e-02 -2.0890e+00  2e+00  5e-01  1e+01  4e-01
13: -3.6818e-02 -1.9774e+00  2e+00  5e-01  1e+01  3e-01
14: -3.5527e-02 -1.8736e+00  1e+00  5e-01  9e+00  3e-01
15: -3.2271e-02 -1.5725e+00  1e+00  5e-01  8e+00  2e-01
16: -2.6178e-02 -1.2475e+00  1e+00  6e-01  6e+00  1e-01
17: -2.2123e-02 -8.5096e-01  8e-01  5e-01  4e+00  6e-02
18: -1.8460e-02 -5.4317e-01  5e-01  5e-01  3e+00  3e-02
19: -1.6418e-02 -4.3774e-01  4e-01  5e-01  2e+00  2e-02
20: -1.3166e-02 -2.6326e-01  2e-01  4e-01  2e+00  1e-02
21: -1.1239e-02 -1.8785e-01  1e-01  4e-01  1e+00  1e-02
22: -9.7261e-03 -1.5031e-01  1e-01  4e-01  1e+00  9e-03
23: -8.1065e-03 -1.0740e-01  9e-02  4e-01  1e+00  6e-03
24: -7.3111e-03 -9.1272e-02  8e-02  4e-01  1e+00  6e-03
25: -6.5382e-03 -7.6890e-02  7e-02  4e-01  1e+00  5e-03
26: -4.9009e-03 -5.0176e-02  4e-02  5e-01  1e+00  3e-03
27: -3.7667e-03 -3.4545e-02  3e-02  4e-01  1e+00  2e-03
28: -3.5807e-03 -3.3019e-02  3e-02  4e-01  1e+00  2e-03
29: -2.9508e-03 -2.4282e-02  2e-02  3e-01  1e+00  1e-03
30: -2.7718e-03 -2.2106e-02  2e-02  3e-01  1e+00  1e-03
31: -2.2758e-03 -1.4550e-02  1e-02  3e-01  1e+00  7e-04
32: -1.8336e-03 -1.0147e-02  7e-03  3e-01  1e+00  5e-04
33: -1.6014e-03 -8.0852e-03  6e-03  3e-01  1e+00  4e-04
34: -1.5984e-03 -8.0708e-03  6e-03  3e-01  1e+00  4e-04
35: -1.4259e-03 -6.5851e-03  5e-03  3e-01  1e+00  3e-04
36: -1.2168e-03 -4.6092e-03  3e-03  4e-01  1e+00  2e-04
37: -1.1591e-03 -4.3351e-03  3e-03  4e-01  1e+00  2e-04
38: -1.1843e-03 -4.5038e-03  3e-03  3e-01  1e+00  2e-04
39: -1.1597e-03 -4.3183e-03  3e-03  3e-01  1e+00  2e-04
40: -1.1217e-03 -4.0327e-03  3e-03  3e-01  1e+00  2e-04
41: -1.0462e-03 -3.5785e-03  2e-03  3e-01  1e+00  1e-04
42: -9.1678e-04 -2.7685e-03  2e-03  4e-01  1e+00  8e-05
43: -8.6520e-04 -2.5220e-03  1e-03  4e-01  9e-01  6e-05
44: -8.1183e-04 -2.2701e-03  1e-03  4e-01  9e-01  5e-05
45: -7.9508e-04 -2.1691e-03  9e-04  4e-01  9e-01  4e-05
46: -7.2379e-04 -1.8452e-03  7e-04  5e-01  9e-01  3e-05
47: -6.6384e-04 -1.5608e-03  6e-04  5e-01  9e-01  2e-05
48: -6.3890e-04 -1.3844e-03  5e-04  5e-01  9e-01  1e-05
49: -6.3249e-04 -1.3070e-03  5e-04  5e-01  9e-01  8e-06
50: -6.4713e-04 -1.3630e-03  6e-04  5e-01  9e-01  8e-06
51: -6.5600e-04 -1.3942e-03  6e-04  5e-01  9e-01  8e-06
52: -6.8158e-04 -1.4059e-03  6e-04  5e-01  9e-01  8e-06
53: -6.7407e-04 -1.4011e-03  6e-04  4e-01  9e-01  7e-06
54: -6.3421e-04 -1.2893e-03  5e-04  5e-01  9e-01  6e-06
55: -7.9492e-04 -1.3911e-03  7e-04  4e-01  9e-01  3e-06
56: -8.7818e-04 -1.4965e-03  9e-04  4e-01  1e+00  2e-06
57: -1.2177e-03 -1.7298e-03  1e-03  3e-01  1e+00  2e-06
58: -1.5858e-03 -2.0427e-03  1e-03  3e-01  1e+00  2e-06
59: -1.5904e-03 -1.9725e-03  1e-03  4e-01  1e+00  1e-06
60: -1.6976e-03 -2.0306e-03  1e-03  4e-01  1e+00  1e-06
61: -1.7328e-03 -2.0642e-03  1e-03  4e-01  1e+00  1e-06
62: -1.7310e-03 -2.0609e-03  1e-03  4e-01  1e+00  1e-06
63: -2.3889e-03 -2.6372e-03  1e-03  4e-01  1e+00  1e-06
64: -2.7020e-03 -2.9345e-03  1e-03  4e-01  1e+00  1e-06
65: -2.8650e-03 -3.1062e-03  1e-03  4e-01  1e+00  1e-06
66: -2.8759e-03 -3.1118e-03  1e-03  4e-01  2e+00  1e-06
67: -3.0097e-03 -3.2434e-03  1e-03  4e-01  2e+00  1e-06
68: -3.0113e-03 -3.2401e-03  1e-03  4e-01  2e+00  1e-06
69: -2.8686e-03 -3.0841e-03  1e-03  4e-01  2e+00  1e-06
70: -3.7728e-03 -3.9736e-03  1e-03  4e-01  2e+00  2e-06
71: -4.3818e-03 -4.5785e-03  2e-03  4e-01  2e+00  2e-06
72: -8.3938e-03 -8.5047e-03  2e-03  4e-01  4e+00  2e-06
73: -8.4214e-03 -8.5283e-03  2e-03  3e-01  4e+00  2e-06
74: -8.3363e-03 -8.4395e-03  2e-03  3e-01  4e+00  2e-06
75: -7.7416e-03 -7.8362e-03  2e-03  3e-01  4e+00  2e-06
76: -7.8626e-03 -7.9569e-03  2e-03  3e-01  4e+00  2e-06
77: -8.0288e-03 -8.1222e-03  3e-03  3e-01  4e+00  2e-06
78: -8.0399e-03 -8.1334e-03  3e-03  3e-01  4e+00  2e-06
79: -8.0063e-03 -8.0993e-03  3e-03  3e-01  4e+00  2e-06
80: -7.9714e-03 -8.0636e-03  3e-03  2e-01  4e+00  2e-06
81: -7.5381e-03 -7.6212e-03  4e-03  3e-01  4e+00  2e-06
82: -7.9879e-03 -8.0654e-03  5e-03  2e-01  4e+00  3e-06
83: -9.6597e-03 -9.7285e-03  6e-03  3e-01  5e+00  4e-06
84: -1.1028e-02 -1.1094e-02  8e-03  4e-01  6e+00  6e-06
85: -1.4248e-02 -1.4299e-02  9e-03  6e-01  7e+00  6e-06
86: -1.4623e-02 -1.4672e-02  9e-03  9e-01  8e+00  7e-06
87: -1.6910e-02 -1.6948e-02  1e-02  2e+00  9e+00  8e-06
88: -1.6749e-02 -1.6786e-02  1e-02  2e+00  9e+00  8e-06
89: -1.7286e-02 -1.7317e-02  1e-02  3e+01  9e+00  1e-05
90: -2.0062e-02 -2.0079e-02  1e-02  2e+01  1e+01  1e-05
91: -2.0214e-02 -2.0228e-02  1e-02  2e+01  1e+01  1e-05
92: -2.0114e-02 -2.0124e-02  1e-02  3e+01  1e+01  8e-06
93: -2.0479e-02 -2.0488e-02  1e-02  5e+01  1e+01  9e-06
94: -2.0936e-02 -2.0940e-02  2e-02  2e+02  1e+01  1e-05
95: -2.1187e-02 -2.1188e-02  2e-02  9e+02  1e+01  1e-05
96: -2.1500e-02 -2.1498e-02  1e-02  9e+02  1e+01  1e-05
97: -2.1447e-02 -2.1444e-02  1e-02  1e+03  1e+01  1e-05
98: -2.1342e-02 -2.1338e-02  1e-02  1e+03  1e+01  1e-05
99: -2.1078e-02 -2.1073e-02  1e-02  2e+03  1e+01  1e-05
100: -2.0770e-02 -2.0766e-02  1e-02  2e+03  1e+01  9e-06
Terminated (maximum number of iterations reached).

Difference between two solutions 8.264479e-04
Testing in /hpc/scratch/frb15/sandbox/sage-5.7.beta4/spkg/build/cvxopt-1.1.5.p0/src/examples/doc/chap4
Testing acent.py ...
 0.  Newton decr. = 1.193e+01
 1.  Newton decr. = 8.441e+00
 2.  Newton decr. = 6.062e+00
 3.  Newton decr. = 4.284e+00
 4.  Newton decr. = 3.070e+00
 5.  Newton decr. = 2.296e+00
 6.  Newton decr. = 1.637e+00
 7.  Newton decr. = 1.185e+00
 8.  Newton decr. = 8.248e-01
 9.  Newton decr. = 5.477e-01
10.  Newton decr. = 1.767e-01
11.  Newton decr. = 5.559e-03
12.  Newton decr. = 1.718e-07
13.  Newton decr. = 1.602e-12
Testing in /hpc/scratch/frb15/sandbox/sage-5.7.beta4/spkg/build/cvxopt-1.1.5.p0/src/examples/doc/chap7
Testing covsel.py ...
500 rows/columns, 1741 nonzeros

Newton decrement squared: 5.01869e+08
Newton decrement squared: 1.29139e+08
Newton decrement squared: 3.26344e+07
Newton decrement squared: 1.14508e+02
Newton decrement squared: 2.68329e+01
Newton decrement squared: 1.52504e+00
Newton decrement squared: 5.25935e-03
Newton decrement squared: 6.89978e-08
Newton decrement squared: 1.34440e-17
number of iterations: 9
Testing in /hpc/scratch/frb15/sandbox/sage-5.7.beta4/spkg/build/cvxopt-1.1.5.p0/src/examples/doc/chap8
Testing conelp.py ...
solver:qr
     pcost       dcost       gap    pres   dres   k/t
 0:  1.1431e+00 -2.3216e+02  5e+02  7e-01  8e+00  1e+00
 1:  3.2291e+00 -7.6284e+01  1e+02  2e-01  3e+00  2e+00
 2: -5.4057e+00 -7.5497e+01  1e+02  2e-01  2e+00  6e+00
 3: -8.2526e+00 -5.0576e+01  7e+01  1e-01  1e+00  4e+00
 4:  3.6383e+00 -4.2856e+01  9e+01  1e-01  2e+00  6e+00
 5: -5.8339e+00 -2.2605e+01  4e+01  6e-02  7e-01  4e+00
 6: -3.0169e+00 -1.5737e+01  2e+01  4e-02  5e-01  2e+00
 7: -9.4177e+00 -1.6446e+01  1e+01  2e-02  3e-01  1e+00
 8: -1.0564e+01 -1.1543e+01  2e+00  3e-03  4e-02  2e-01
 9: -1.0930e+01 -1.1021e+01  2e-01  3e-04  4e-03  2e-02
10: -1.0948e+01 -1.0952e+01  8e-03  1e-05  2e-04  8e-04
11: -1.0949e+01 -1.0949e+01  1e-04  2e-07  3e-06  1e-05
12: -1.0949e+01 -1.0949e+01  1e-06  3e-09  3e-08  2e-07
Optimal solution found.

Status: optimal

x = 

[-1.22e+00]
[ 9.66e-02]
[ 3.58e+00]


z = 

[ 9.30e-02]
[ 1.06e-08]
[ 2.35e-01]
[ 1.33e-01]
[-4.73e-02]
[ 1.88e-01]
[ 1.25e-08]
[ 7.82e-11]
[-3.96e-10]
[-1.83e-09]
[ 1.26e-01]
[ 8.78e-02]
[-8.66e-02]
[ 8.78e-02]
[ 6.14e-02]
[-6.06e-02]
[-8.66e-02]
[-6.06e-02]
[ 5.98e-02]

Testing coneqp.py ...
     pcost       dcost       gap    pres   dres
 0: -1.0721e+00 -4.3040e+00  3e+00  0e+00  2e+00
 1: -1.2240e+00 -1.5212e+00  3e-01  2e-15  2e-01
 2: -1.4283e+00 -1.5409e+00  1e-01  2e-16  5e-02
 3: -1.4300e+00 -1.4312e+00  1e-03  3e-15  5e-04
 4: -1.4300e+00 -1.4300e+00  1e-05  2e-14  5e-06
 5: -1.4300e+00 -1.4300e+00  1e-07  6e-13  5e-08
Optimal solution found.

x = 

[ 7.26e-01]
[ 6.18e-01]
[ 3.03e-01]

Testing l1.py ...
solver:<function Fkkt at 0x102afae0>
     pcost       dcost       gap    pres   dres   k/t
 0:  8.4409e+02  2.3550e+02  6e+02  9e-17  4e-15  1e+00
Traceback (most recent call last):
  File "l1.py", line 126, in <module>
    x, y = l1(P,q)
  File "l1.py", line 120, in l1
    primalstart={'x': x0, 's': s0}, dualstart={'z': z0})
  File "/hpc/scratch/frb15/sandbox/sage-5.7.beta4/local/lib/python2.7/site-packages/cvxopt/coneprog.py", line 1086, in conelp
    raise ValueError("Rank(A) < p or Rank([G; A]) < n")
ValueError: Rank(A) < p or Rank([G; A]) < n
Error: test /hpc/scratch/frb15/sandbox/sage-5.7.beta4/spkg/build/cvxopt-1.1.5.p0/src/examples/doc/chap8/l1.py failed

kiwifb · 2013-02-15T02:14:32Z

comment:17

OK from there we get that

the chol2 solver is behaving badly and that's the one involved in all the failing doctests.
the l1.py is broken. It appears to want a non-existing solver.

That's an interesting starting point.

kiwifb · 2013-02-18T00:28:51Z

Upstream: Reported upstream. No feedback yet.

kiwifb · 2013-02-18T00:28:51Z

comment:18

I am pinging upstream to see if they have a clue on where things go wrong.

kiwifb · 2013-02-20T10:01:37Z

comment:19

Very similar results if I use openblas instead of atlas. There are some slight differences after 100 iterations - possibly a test of iterative precision of a sort. But still fails to converge.

kiwifb · 2013-02-24T09:43:02Z

comment:20

I am currently in contact to figure out where things go wrong. I doesn't quite fit any of the given options.

kiwifb · 2013-04-12T10:09:05Z

comment:21

I have an unstable release to test to see if it fixes the problem.

kiwifb · 2013-04-12T10:09:05Z

Changed upstream from Reported upstream. No feedback yet. to Reported upstream. Developers acknowledge bug.

zimmermann6 · 2013-04-12T10:13:19Z

comment:22

Francois, who is "upstream" here? Scipy?

Paul

kiwifb · 2013-04-12T10:17:24Z

comment:23

No cvxopt: http://abel.ee.ucla.edu/cvxopt/ in particular Lieven Vandenberghe has been in contact with me regularly to find the problem.

jdemeyer · 2013-05-15T08:40:16Z

comment:29

I'm including the fix from #10508.

jdemeyer · 2013-05-15T08:49:45Z

spkg diff

zimmermann6 · 2013-05-15T08:59:35Z

comment:32

Attachment: cvxopt-1.1.6.p0.diff.gz

I'll review that ticket on silius. Now downloading Sage 5.9 source...

Paul

vbraun · 2013-05-15T09:15:53Z

comment:33

Isn't that silly, building stuff manually so we don't have to trouble the buildbot? I thought skynet is there to serve us, not the other way 'round ;-)

zimmermann6 · 2013-05-15T09:23:42Z

comment:34

Volker, what is wrong in testing a patch with the latest Sage release?

Paul

kiwifb · 2013-05-15T09:29:15Z

comment:35

Does spkg-check works? I thought it would need work when I checked the rc sent to me by upstream.

kiwifb · 2013-05-15T09:33:09Z

comment:36

Also from my point of view it works on power7, it needs checking against #10508 and other platforms.

jdemeyer · 2013-05-15T09:47:48Z

comment:37

Replying to @kiwifb:

Does spkg-check works?

I works for me, I tested it on silius and also on OS X 10.6.

kiwifb · 2013-05-15T09:50:44Z

comment:38

OK there may have been special testing code in the rc I was sent. spkg-check definitely didn't work with it. I had to run various tests manually after install.

vbraun · 2013-05-15T16:57:55Z

comment:39

Works with #10508 and fixes the power7 issue. So I guess its good to go.

vbraun · 2013-05-15T16:57:55Z

Reviewer: Volker Braun

jdemeyer · 2013-05-17T06:32:18Z

Merged: sage-5.10.beta4

nexttime · 2013-05-25T21:38:39Z

comment:41

As reported on sage-release by Steven Trogdon, this fails to build if SAGE_SPKG_INSTALL_DOCS=yes, because the (pre-built) HTML docs have moved from src/doc/build/html/ to src/doc/html/.

nexttime · 2013-05-25T21:46:15Z

comment:42

P.S.: Some more environment variables ($CFLAG64 and $SAGE_LOCAL) should be quoted as well.

if [ "x$SAGE_SPKG_INSTALL_DOCS" = xyes ] ; then
   cd doc
# This part would be used to build the documentation with sphinx.
# cvxopt would then have to depend on sphinx.
# in 1.1.5 the documentation is shipped already built and up to date.
#   ${MAKE} -B html
#   if [ $? -ne 0 ]; then
#      echo "Error building the documentation"
#      exit 1
#   fi
# checking to see if there is previously installed documentation.
   if [ -d $SAGE_LOCAL/share/doc/cvxopt/html ] ; then
      rm -rf $SAGE_LOCAL/share/doc/cvxopt/html
   fi
   mkdir -p $SAGE_LOCAL/share/doc/cvxopt/html
   cp -r build/html/* $SAGE_LOCAL/share/doc/cvxopt/html/
fi

And some (more) error messages should get redirected to stderr.

nexttime · 2013-05-25T21:49:06Z

comment:43

P.P.S.: Perhaps also s|$SAGE_LOCAL/share|$SAGE_SHARE|.

And add error checks w.r.t. doc installation.

nexttime · 2013-05-25T22:56:28Z

comment:44

Follow-up is #14645, new spkg on the way...

kiwifb added this to the sage-5.10 milestone Apr 11, 2012

kiwifb added c: packages: standard labels Apr 11, 2012

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kiwifb changed the title ~~Bug in scipy on power7~~ Bug in cvxopt on power7 Feb 14, 2013

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jdemeyer added the s: needs review label May 15, 2013

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jdemeyer changed the title ~~Bug in cvxopt on power7~~ Upgrade cvxopt to 1.1.6 May 15, 2013

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jdemeyer added s: needs review and removed s: needs work labels May 15, 2013

vbraun added s: positive review and removed s: needs review labels May 15, 2013

jdemeyer removed the s: positive review label May 17, 2013

jdemeyer closed this as completed May 17, 2013

vbraun mentioned this issue Jun 17, 2013

Update ATLAS to stable version 3.10.1 #10508

Closed

williamstein mentioned this issue Nov 25, 2014

Port Sage to SUSE Linux Power 7 (ppc64). #11705

Closed

Upgrade cvxopt to 1.1.6 #12832

Upgrade cvxopt to 1.1.6 #12832

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