def primal(self):
if self.problem is not None:
primal_from_solver = glp_get_row_prim(self.problem.problem, self.index)
# return self._round_primal_to_bounds(primal_from_solver) # Test assertions fail
return primal_from_solver
else:
return None
def primal(self):
if self.problem is not None:
primal_from_solver = glp_get_row_prim(self.problem.problem,
self.index)
# return self._round_primal_to_bounds(primal_from_solver) # Test assertions fail
return primal_from_solver
else:
return None
def dual_values(self):
if self.problem:
dual_values = collections.OrderedDict()
for index, constraint in enumerate(self.constraints):
value = glp_get_row_prim(self.problem, index + 1)
dual_values[constraint.name] = value
return dual_values
else:
return None
def constraint_values(self):
dual_values = collections.OrderedDict()
is_mip = self._glpk_is_mip()
for index, constraint in enumerate(self.constraints):
if is_mip:
value = glp_mip_row_val(self.problem, index + 1)
else:
value = glp_get_row_prim(self.problem, index + 1)
dual_values[constraint.name] = value
return dual_values
def constraint_values(self):
dual_values = collections.OrderedDict()
for index, constraint in enumerate(self.constraints):
value = glp_get_row_prim(self.problem, index + 1)
dual_values[constraint.name] = value
return dual_values
def rowPrimalValue(self, i):
"""Return the primal value of the structural variable for i-th row."""
return glp.glp_get_row_prim(self._lp, i)
