def Get(self, batchsize, get_last_piece=False):
    """Return 'batchsize' data points from the cache."""
    skip = False
    if self._pos == self.datasize:
      self._pos = 0
    if self._pos == 0:
      if self.empty or self._maxpos < self.parent._maxpos:
        if get_last_piece:
          self.LoadData(1)
        else:
          self.LoadData(batchsize)
        self.empty = False
      if self.randomize:
        self.ShuffleData()
    start = self._pos
    end = self._pos + batchsize
    if end > self.datasize:
      end = self.datasize
      skip = not get_last_piece
    self._pos = end
    if skip:
      return self.Get(batchsize, get_last_piece=get_last_piece)
    else:
      for i, d in enumerate(self.data):
        centers = self.valid_indices[i].slice(start, end)
        self.ExtractWindows(d, centers, i)
      return self.batches
Return 'batchsize' data points from the cache.
deepnet/sequence_datahandler.py