def updateMatrix(self, matrix):
if self.pause_remaining:
self.pause_remaining -= 1
else:
#move to new matrix
self.currentIdx += 1
self.currentIdx %= len(self.matrices)
self.pause_remaining = self.pause - 1
newmat = self.matrices[self.currentIdx]
#copy matrix in
updateMatrix(matrix, newmat)
def execute(self, data, dataModifyFunc=None, ticks=1, learning=True,
postTick=None):
'''
execute htm pooling across time
@param data: a mutable array of data for a single time slice
@param dataModifyFunc: called to mutate data at each time step
@param ticks: how many iterations of execution to run
@param learning: whether the htm executes in learning mode
@param postTick: call this function after every iteration,
with the htm as an argument
'''
updateMatrix(self._data, data)
for _t in xrange(ticks):
self.__executeOne(learning)
if postTick:
postTick(self)
if dataModifyFunc:
dataModifyFunc(self._data)
