def linprog(c, A_ub=None, b_ub=None, A_eq=None, b_eq=None, bounds=None, method='simplex', callback=None, options=None):
 meth = method.lower()
 if (options is None):
  options = {}
 if (meth == 'simplex'):
  return _linprog_simplex(c, A_ub=A_ub, b_ub=b_ub, A_eq=A_eq, b_eq=b_eq, bounds=bounds, callback=callback, **options)
 else:
  raise ValueError(('Unknown solver %s' % method))

def linprog ( c , A_ub = None , b_ub = None , A_eq = None , b_eq = None , bounds = None , method = 'simplex' , callback = None , options = None ) : meth = method . lower ( ) if ( options is None ) : options = { } if ( meth == 'simplex' ) : return _linprog_simplex ( c , A_ub = A_ub , b_ub = b_ub , A_eq = A_eq , b_eq = b_eq , bounds = bounds , callback = callback , ** options ) else : raise ValueError ( ( 'Unknown solver %s' % method ) )
minimize a linear objective function subject to linear equality and inequality constraints .