docstr: Check if the x and y arrays are valid.
docstr_tok: ["Check","if","the","x","and","y","arrays","are","valid","."]
code: def _check_x_y(self, x: np.ndarray | None, y: np.ndarray) -> None:
      """Check if the x and y arrays are valid."""
      # Check x (if not None)
      if x is not None:
          self._check_arr(x, self.x_dtype_regex_list)
          assert x.shape == y.shape, "x and y must have the same shape"
      # Check y
      self._check_arr(y, self.y_dtype_regex_list)
  
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 5 for calling the AbstractAggregator obj's underlying member method code with example usage: obj._check_x_y(x, y) without return types