class PipelineAnimation(object):
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)
def cleanup(self, animator):
self.branchpoint_data_source.targets.remove(self.cache_segment)
@coroutine
def _filter_to_fraction(self, variable, limits):
start = limits[0]
limit_span = limits[1] - limits[0]
while True:
a = (yield)
elapsed = self._time_fraction * limit_span
current = (a[variable] >= start) & (a[variable] <=
(start + elapsed))
subset = a[current]
for updater in self.outlets:
updater.send(subset)
def draw_frame(self, animator, time_fraction):
self._time_fraction = time_fraction
self.cache_trigger.resend_last()
def init_draw(self, animator):
self._time_fraction = 0.0
self.cache_trigger.resend_last()
class PipelineAnimation(object):
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)
def cleanup(self, animator):
self.branchpoint_data_source.targets.remove(self.cache_segment)
@coroutine
def _filter_to_fraction(self, variable, limits):
start = limits[0]
limit_span = limits[1] - limits[0]
while True:
a = (yield)
elapsed = self._time_fraction*limit_span
current = (a[variable] >= start) & (a[variable] <= (start + elapsed))
subset = a[current]
for updater in self.outlets:
updater.send(subset)
def draw_frame(self, animator, time_fraction):
self._time_fraction = time_fraction
self.cache_trigger.resend_last()
def init_draw(self, animator):
self._time_fraction = 0.0
self.cache_trigger.resend_last()
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)
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)
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())
class LassoPayloadController(object):
""" For convenience and descriptiveness, this object should be subclassed
and define a single Payload() property that names the actual property:
class LassoSomePropertyController(LassoPayloadController):
some_property = LassoPayloadController.Payload()
prop_lasso_controller = LassoSomePropertyController( ... )
View of this object could be a set of buttons that, e.g.
change the payload state.
Setting the payload to None prevents the payload from being sent.
prop_lasso_controller.some_property = None
"""
@staticmethod
def Payload():
# Thanks Python Cookbook, 3rd. Ed!
storage_name = '_payload' # matches attribute definition of None below.
@property
def prop(self):
return getattr(self, storage_name)
@prop.setter
def prop(self, value):
setattr(self, storage_name, value)
return prop
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())
@coroutine
def add_payload_value(self, target=None):
while True:
a = (yield)
if (self._payload is not None) and (target is not None):
target.send((a, self._payload))
def send(self, msg):
""" B4D_panel_lasso_drawn messages are sent here.
Set the state of the stormdrain.bounds.LassoFilter
object to grab the right points.
"""
panels, ax, lasso_line, verts = msg
coord_names = panels.ax_specs[ax]
self.lasso_filter.coord_names = coord_names
self.lasso_filter.verts = verts
if self._payload is None:
# Don't send the payload - there's nothing to do.
return
else:
self.cache_segment.resend_last()
class LassoPayloadController(object):
""" For convenience and descriptiveness, this object should be subclassed
and define a single Payload() property that names the actual property:
class LassoSomePropertyController(LassoPayloadController):
some_property = LassoPayloadController.Payload()
prop_lasso_controller = LassoSomePropertyController( ... )
View of this object could be a set of buttons that, e.g.
change the payload state.
Setting the payload to None prevents the payload from being sent.
prop_lasso_controller.some_property = None
"""
@staticmethod
def Payload():
# Thanks Python Cookbook, 3rd. Ed!
storage_name = '_payload' # matches attribute definition of None below.
@property
def prop(self):
return getattr(self, storage_name)
@prop.setter
def prop(self, value):
setattr(self, storage_name, value)
return prop
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())
@coroutine
def add_payload_value(self, target=None):
while True:
a = (yield)
if (self._payload is not None) and (target is not None):
target.send((a, self._payload))
def send(self, msg):
""" B4D_panel_lasso_drawn messages are sent here.
Set the state of the stormdrain.bounds.LassoFilter
object to grab the right points.
"""
panels, ax, lasso_line, verts = msg
coord_names = panels.ax_specs[ax]
self.lasso_filter.coord_names = coord_names
self.lasso_filter.verts = verts
if self._payload is None:
# Don't send the payload - there's nothing to do.
return
else:
self.cache_segment.resend_last()
