def _create_using(self, model, **kwds):
#
# Clone the model
#
M = model.clone()
#
# Iterate over the expressions in all objectives and constraints, replacing fixed
# variables with their associated constants.
#
for ctype in [Objective, Constraint]:
for obj in M.component_map(Objective).values():
for name in obj:
if not obj[name].expr is None:
obj[name].expr = self._fix_vars(obj[name].expr, model)
#
# Iterate over variables, omitting those that have fixed values
#
ctr = 0
for i in sequence(M.nvariables()):
var = M.variable(i)
del M._var[i - 1]
if var.fixed:
if var.is_binary():
M.statistics.number_of_binary_variables -= 1
elif var.is_integer():
M.statistics.number_of_integer_variables -= 1
elif var.is_continuous():
M.statistics.number_of_continuous_variables -= 1
M.statistics.number_of_variables -= 1
del M._label_var_map[var.label]
del var.component()._data[var.index]
else:
M._var[ctr] = var
var._old_id = var.id
var.id = ctr
ctr += 1
return M
def _create_using(self, model, **kwds):
#
# Clone the model
#
M = model.clone()
#
# Iterate over the expressions in all objectives and constraints, replacing fixed
# variables with their associated constants.
#
for ctype in [Objective, Constraint]:
for obj in M.component_map(Objective).values():
for name in obj:
if not obj[name].expr is None:
obj[name].expr = self._fix_vars(obj[name].expr, model)
#
# Iterate over variables, omitting those that have fixed values
#
ctr = 0
for i in sequence(M.nvariables()):
var = M.variable(i)
del M._var[ i-1 ]
if var.fixed:
if var.is_binary():
M.statistics.number_of_binary_variables -= 1
elif var.is_integer():
M.statistics.number_of_integer_variables -= 1
elif var.is_continuous():
M.statistics.number_of_continuous_variables -= 1
M.statistics.number_of_variables -= 1
del M._label_var_map[ var.label ]
del var.component()._data[ var.index ]
else:
M._var[ ctr ] = var
var._old_id = var.id
var.id = ctr
ctr += 1
return M