opts_solve['tolerance'] = options.tol
# Set printing standards for arrays.
numpy.set_printoptions(precision=3, linewidth=80, threshold=10, edgeitems=3)
if not options.verbose:
sys.stderr.write(hdr + '\n' + '-'*len(hdr) + '\n')
for probname in args:
t_setup = cputime()
lp = SlackFramework(probname)
t_setup = cputime() - t_setup
islp = True
if not lp.islp():
sys.stderr.write('Problem %s is not a linear program\n' % probname)
islp = False
lp.close()
continue
# Pass problem to RegLP.
reglp = RegLPInteriorPointSolver(lp,
scale=not options.no_scale,
stabilize=not options.no_stabilize,
verbose=options.verbose,
**opts_init)
reglp.solve(PredictorCorrector=not options.longstep,
check_infeasible=not options.assume_feasible,
**opts_solve)
opts_solve['tolerance'] = options.tol
# Set printing standards for arrays.
numpy.set_printoptions(precision=3, linewidth=80, threshold=10, edgeitems=3)
if not options.verbose:
sys.stderr.write(hdr + '\n' + '-' * len(hdr) + '\n')
for probname in args:
t_setup = cputime()
lp = SlackFramework(probname)
t_setup = cputime() - t_setup
islp = True
if not lp.islp():
sys.stderr.write('Problem %s is not a linear program\n' % probname)
islp = False
lp.close()
continue
# Pass problem to RegLP.
reglp = RegLPInteriorPointSolver(lp,
scale=not options.no_scale,
stabilize=not options.no_stabilize,
verbose=options.verbose,
**opts_init)
reglp.solve(PredictorCorrector=not options.longstep,
check_infeasible=not options.assume_feasible,
**opts_solve)
