code: def _predict_core(
      self, series: Sequence[TimeSeries]
  ) -> Sequence[TimeSeries]:
      return [
          s.sum(axis=1).map(lambda x: (x >= s.width).astype(s.dtype))
          for s in series
      ]
  
imports: from typing import Sequence
  from darts import TimeSeries
  from darts.ad.aggregators.aggregators import NonFittableAggregator
label_desc: Use image node_id 3 for calling the AndAggregator obj's underlying member method code with example usage: obj._predict_core(series) and returns: unknown