code: def invalid_comparison(left, right, op) -> np.ndarray:
      """
      If a comparison has mismatched types and is not necessarily meaningful,
      follow python3 conventions by:
  
          - returning all-False for equality
          - returning all-True for inequality
          - raising TypeError otherwise
  
      Parameters
      ----------
      left : array-like
      right : scalar, array-like
      op : operator.{eq, ne, lt, le, gt}
  
      Raises
      ------
      TypeError : on inequality comparisons
      """
      if op is operator.eq:
          res_values = np.zeros(left.shape, dtype=bool)
      elif op is operator.ne:
          res_values = np.ones(left.shape, dtype=bool)
      else:
          typ = type(right).__name__
          raise TypeError(
              f"Invalid comparison between dtype={left.dtype} and {typ}"
          )
      return res_values
  
imports: from __future__ import annotations
  import operator
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: invalid_comparison(left, right, op) and returns: res_values