def processResponse(self, sensorInputs, recursiveInputs):
ret = []
for response in sensorInputs:
# Get the multiplier
if self['Factor'] != None:
factor = self['Factor']
else:
factor = 0.95
# Initialize the first time
if not 'FireflyStartColor' in response:
response['FireflyValue'] = 1.0
response['FireflyDir'] = 1
response['FireflyStartColor'] = response['Color']
else:
# Update the current value
if response['FireflyDir'] == 1:
response[
'FireflyValue'] = response['FireflyValue'] * factor
if response['FireflyValue'] <= 0.01:
response['FireflyValue'] = 0.01
response['FireflyDir'] = 0
else:
response[
'FireflyValue'] = response['FireflyValue'] / factor
if response['FireflyValue'] >= 1.0:
response['FireflyValue'] = 1.0
response['FireflyDir'] = 1
# Compute the color
response['Color'] = colorops.multiplyColor(
response['FireflyStartColor'], response['FireflyValue'])
ret.append(response)
return (ret, []) #no direct ouput
def state(self, currentTime=None):
"""Combines all PixelEvents currently active and computes the current color of
the pixel."""
if currentTime == None:
currentTime = timeops.time()
if currentTime-self.lastRenderTime < 5:
return self.lastRender
if self.events == []:
self.lastRenderTime = currentTime
return (0,0,0)
deadEvents = []
resultingColor = (0,0,0)
colors = []
for eventObj in self.events: #TODO: right color weighting code
if len(self.events) > 50:
main_log.error('High pixel event count! Investigate!')
eventTime, zindex, scale, pixelEvent = eventObj
eventResult = pixelEvent.state(currentTime-eventTime)
if eventResult != None:
scaledEvent = color.multiplyColor(eventResult,scale)
if (scaledEvent[0] + scaledEvent[1] + scaledEvent[2]) < 5:
pass
#deadEvents.append(eventObj)
else:
colors.append(scaledEvent)
else:
deadEvents.append(eventObj)
resultingColor = color.combineColors(colors)
[self.events.remove(event) for event in deadEvents]
resultingColor = [int(round(c)) for c in resultingColor]
self.lastRender = tuple(resultingColor)
self.lastRenderTime = currentTime
return tuple(resultingColor)
def processResponse(self, sensorInputs, recursiveInputs):
ret = []
for response in sensorInputs:
# Get the multiplier
if self["Factor"] != None:
factor = self["Factor"]
else:
factor = 0.95
# Initialize the first time
if not "FireflyStartColor" in response:
response["FireflyValue"] = 1.0
response["FireflyDir"] = 1
response["FireflyStartColor"] = response["Color"]
else:
# Update the current value
if response["FireflyDir"] == 1:
response["FireflyValue"] = response["FireflyValue"] * factor
if response["FireflyValue"] <= 0.01:
response["FireflyValue"] = 0.01
response["FireflyDir"] = 0
else:
response["FireflyValue"] = response["FireflyValue"] / factor
if response["FireflyValue"] >= 1.0:
response["FireflyValue"] = 1.0
response["FireflyDir"] = 1
# Compute the color
response["Color"] = colorops.multiplyColor(response["FireflyStartColor"], response["FireflyValue"])
ret.append(response)
return (ret, []) # no direct ouput
def scale(self,c):
if c == 1:
return self
newDict = dict(self.argDict)
newDict['Color'] = color.multiplyColor(newDict['Color'], c)
return self.__class__(newDict)
def scale(self, c):
if c == 1:
return self
newDict = dict(self.argDict)
newDict['Color'] = color.multiplyColor(newDict['Color'], c)
return self.__class__(newDict)
