class CFPOF_Identity(CFPOutputFn):
"""
CFPOutputFn that leaves the CFs unchanged.
Must never be changed or subclassed, because it might never
be called. (I.e., it could simply be tested for and skipped.)
"""
single_cf_fn = param.ClassSelector(TransferFn,default=IdentityTF(),constant=True)
def __call__(self, iterator, **params):
pass
class CFPOF_Plugin(CFPOutputFn):
"""
Applies the specified single_cf_fn to each CF in the CFProjection
for which the mask is nonzero.
"""
single_cf_fn = param.ClassSelector(TransferFn,default=IdentityTF(),
doc="Accepts a TransferFn that will be applied to each CF individually.")
def __call__(self, iterator, **params):
if type(self.single_cf_fn) is not IdentityTF:
single_cf_fn = self.single_cf_fn
for cf,i in iterator():
single_cf_fn(cf.weights)
del cf.norm_total