class_docstr: Aggregator that identifies a time point as anomalous only if it is
  included in all the input anomaly lists.
class_docstr_tok: ["Aggregator","that","identifies","a","time","point","as","anomalous","only","if","it","is","included","in","all","the","input","anomaly","lists","."]
code: def _param_names(self) -> Tuple[str, ...]:
      return tuple()
  
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 2 for calling the AndAggregator obj's underlying member method code with example usage: obj._param_names() and returns: tuple