#!/usr/bin/env python
import _scs_direct
import _scs_indirect
from warnings import warn
from scipy import sparse
__version__ = _scs_direct.version()
def solve(probdata, cone, **kwargs):
"""
solves convex cone problems
@return dictionary with solution with keys:
'x' - primal solution
's' - primal slack solution
'y' - dual solution
'info' - information dictionary
"""
if not probdata or not cone:
raise TypeError("Missing data or cone information")
if not 'A' in probdata or not 'b' in probdata or not 'c' in probdata:
raise TypeError("Missing one or more of A, b, c from data dictionary")
A = probdata['A']
b = probdata['b']
c = probdata['c']
warm = {}
if 'x' in probdata:
warm['x'] = probdata['x']
if 'y' in probdata:
#!/usr/bin/env python
from __future__ import print_function
from warnings import warn
from scipy import sparse
import _scs_direct
__version__ = _scs_direct.version()
__sizeof_int__ = _scs_direct.sizeof_int()
__sizeof_float__ = _scs_direct.sizeof_float()
_USE_INDIRECT_DEFAULT = False
def solve(probdata, cone, **kwargs):
"""Solves convex cone problems.
@return dictionary with solution with keys:
'x' - primal solution
's' - primal slack solution
'y' - dual solution
'info' - information dictionary
"""
if not probdata or not cone:
raise TypeError('Missing data or cone information')
if 'b' not in probdata or 'c' not in probdata:
raise TypeError('Missing one or more of b, c from data dictionary')
b = probdata['b']
c = probdata['c']