docstr: Constructor of AbstractSeriesAggregator.
  
  Parameters
  ----------
  x_dtype_regex_list: List[str], optional
      List containing the regex matching the supported datatypes for the x array,
      by default None.
  y_dtype_regex_list: List[str], optional
      List containing the regex matching the supported datatypes for the y array,
      by default None.
  downsample_kwargs: dict
      Additional kwargs passed to the downsample method.
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code: def __init__(
      self,
      x_dtype_regex_list: Optional[List[str]] = None,
      y_dtype_regex_list: Optional[List[str]] = None,
      **downsample_kwargs,
  ):
      """Constructor of AbstractSeriesAggregator.
  
      Parameters
      ----------
      x_dtype_regex_list: List[str], optional
          List containing the regex matching the supported datatypes for the x array,
          by default None.
      y_dtype_regex_list: List[str], optional
          List containing the regex matching the supported datatypes for the y array,
          by default None.
      downsample_kwargs: dict
          Additional kwargs passed to the downsample method.
  
      """
      self.x_dtype_regex_list = x_dtype_regex_list
      self.y_dtype_regex_list = y_dtype_regex_list
      self.downsample_kwargs = downsample_kwargs
  
imports: from __future__ import annotations
  import re
  from abc import ABC, abstractmethod
  from typing import List, Optional, Tuple
  import numpy
label_desc: Use image node_id 1 to create a new AbstractAggregator object from inherited base classes: ABC with example: obj = AbstractAggregator(x_dtype_regex_list, y_dtype_regex_list)