def _add_alloc_refs(self, arg, flow=None):
col_idx = len(self._columns)
for k in arg.references(flow=flow):
rx = ExchangeValue(
k.process, k.flow, k.direction,
value=1.0) # we do this to avoid calling RxRef.value
# (and because table exchanges are normalized to this value, so 1.0 is the only correct value to report)
rx.set_ref(k.process)
row = k.direction, True, '; '.join(
k.flow['Compartment']), k.flow['Name']
self._add_rowitem(col_idx, rx, row=row)
self._columns.append(arg)
def inventory(self, process, ref_flow=None, show=None):
"""
Report the direct dependencies and exterior flows for the named product flow. If the second argument is
non-None, print the inventory instead of returning it.
This should be identical to product_flow.process.inventory() so WHY DID I WRITE IT??????
ans: because it exposes the allocated matrix model. so it's not the same for allocated processes.
:param process:
:param ref_flow: required for multi-product case
:param show: [None] if present, show rather than return the inventory.
:return: a list of exchanges.
"""
product_flow = self._get_product_flow(process, ref_flow)
ref_ex = ExchangeValue(product_flow.process, product_flow.flow, product_flow.direction, value=1.0)
ref_ex.set_ref(product_flow.process)
interior = [ref_ex]
exterior = []
if self._tstack.is_background(product_flow):
# need to index into background matrix
_af, _ad, _bf = self._be.make_foreground(product_flow)
for i, row in enumerate(_ad.nonzero()[0]):
dep = self._tstack.bg_node(row)
dat = _ad.data[i]
if dat < 0:
dirn = 'Output'
else:
dirn = 'Input'
interior.append(ExchangeValue(product_flow.process, dep.flow, dirn, value=abs(dat)))
for i, row in enumerate(_bf.nonzero()[0]):
ems = self._be.emissions[row]
dat = _bf.data[i]
exterior.append(ExchangeValue(product_flow.process, ems.emission.flow, ems.emission.direction,
value=dat))
else:
# need to simply access the sparse matrix entries
for fg in self._be.foreground_dependencies(product_flow):
dat = fg.value
if dat < 0:
dirn = 'Output'
else:
dirn = 'Input'
interior.append(ExchangeValue(product_flow.process, fg.term.flow, dirn, value=dat))
for em in self._be.foreground_emissions(product_flow):
exterior.append(ExchangeValue(product_flow.process, em.emission.flow, em.emission.direction,
value=em.value))
if show is None:
return interior + exterior
else:
for x in interior:
print('%s' % x)
print('Exterior')
for x in exterior:
print('%s' % x)
