def __init__(self, *args, **kwds):
from pyomo.core.base.sets import process_setarg
#
kwds.pop('noruleinit', None)
Component.__init__(self, **kwds)
#
self._data = {}
#
if len(args) == 0 or (len(args) == 1 and
args[0] is UnindexedComponent_set):
#
# If no indexing sets are provided, generate a dummy index
#
self._implicit_subsets = None
self._index = UnindexedComponent_set
elif len(args) == 1:
#
# If a single indexing set is provided, just process it.
#
self._implicit_subsets = None
self._index = process_setarg(args[0])
else:
#
# If multiple indexing sets are provided, process them all,
# and store the cross-product of these sets. The individual
# sets need to stored in the Pyomo model, so the
# _implicit_subsets class data is used for this temporary
# storage.
#
# Example: Pyomo allows things like
# "Param([1,2,3], range(100), initialize=0)". This
# needs to create *3* sets: two SetOf components and then
# the SetProduct. That means that the component needs to
# hold on to the implicit SetOf objects until the component
# is assigned to a model (where the implicit subsets can be
# "transferred" to the model).
#
tmp = [process_setarg(x) for x in args]
self._implicit_subsets = tmp
self._index = tmp[0].cross(*tmp[1:])
def __init__(self, *args, **kwds):
from pyomo.core.base.sets import process_setarg
#
kwds.pop('noruleinit', None)
Component.__init__(self, **kwds)
#
self._data = {}
#
if len(args) == 0 or (len(args) == 1
and args[0] is UnindexedComponent_set):
#
# If no indexing sets are provided, generate a dummy index
#
self._implicit_subsets = None
self._index = UnindexedComponent_set
elif len(args) == 1:
#
# If a single indexing set is provided, just process it.
#
self._implicit_subsets = None
self._index = process_setarg(args[0])
else:
#
# If multiple indexing sets are provided, process them all,
# and store the cross-product of these sets. The individual
# sets need to stored in the Pyomo model, so the
# _implicit_subsets class data is used for this temporary
# storage.
#
# Example: Pyomo allows things like
# "Param([1,2,3], range(100), initialize=0)". This
# needs to create *3* sets: two SetOf components and then
# the SetProduct. That means that the component needs to
# hold on to the implicit SetOf objects until the component
# is assigned to a model (where the implicit subsets can be
# "transferred" to the model).
#
tmp = [process_setarg(x) for x in args]
self._implicit_subsets = tmp
self._index = tmp[0].cross(*tmp[1:])
