class_docstr: Aggregator that identifies a time point as anomalous as long as it is
  included in one of the input anomaly lists.
class_docstr_tok: ["Aggregator","that","identifies","a","time","point","as","anomalous","as","long","as","it","is","included","in","one","of","the","input","anomaly","lists","."]
code: def __init__(self) -> None:
      super().__init__()
  
file_path: adtk/src/adtk/aggregator/_aggregator.py
imports: from typing import Any, Callable, Dict, List, Optional, Tuple, Union
  import pandas
  from .._aggregator_base import _Aggregator
  from ..data import validate_events
label_desc: Use image node_id 1 to create a new OrAggregator object from inherited base classes: _Aggregator with example: obj = OrAggregator()