def __init__(self, *args, **kwargs):
""" Register to receive lasso events.
cache_segment is typically set to receive the results of all data
selection operations, as though it were a plot, so that the
current plot state can be subset. The instantiator of this class
should set the target of a data emitter to
payload_lasso.cache_segment.cache_segment(), The target of the
cache segment is a lasso_filter, followed by the addition of the
payload, and finally, the target kwarg passed when this class is
instantiated.
On receiving a new lasso, trigger a resend of the cached data
to the dataset modifier.
"""
self.target = kwargs.pop('target', None)
self._payload = None
self.lasso_filter = LassoFilter(target=self.add_payload_value(
target=self.target))
self.lasso_xchg = get_exchange('B4D_panel_lasso_drawn')
self.lasso_xchg.attach(self)
self.cache_segment = CachedTriggerableSegment(
target=self.lasso_filter.filter())
def __init__(self,
duration,
outlets,
variable='time',
limits=(0, 1),
branchpoint_data_source=None):
""" Limits are usually the bounds of the current view in *variable*
Outlets are a set of coroutines that receive subsetted arrays to be drawn.
The data array to be animated should come from branchpoint_data_source,
an instance of pipeline.Branchpoint
"""
self.tstart = time.time()
self.duration = duration
self.outlets = outlets
self.branchpoint_data_source = branchpoint_data_source
self.filterer = self._filter_to_fraction(variable, limits)
self.cache_trigger = CachedTriggerableSegment(target=self.filterer)
self.cache_segment = self.cache_trigger.cache_segment()
if branchpoint_data_source is not None:
branchpoint_data_source.targets.add(self.cache_segment)
