class_docstr: Base class for any filter to activate/deactivate a feature, depending on a
  condition.
  
  The return value of ``__call__`` will tell if the feature should be active.
class_docstr_tok: ["Base","class","for","any","filter","to","activate\/deactivate","a","feature",",","depending","on","a","condition",".","The","return","value","of","``","__call__","``","will","tell","if","the","feature","should","be","active","."]
docstr: The actual call to evaluate the filter.
code: def __call__(self) -> bool:
      """
      The actual call to evaluate the filter.
      """
      return True
  
imports: from __future__ import annotations
  from abc import ABCMeta, abstractmethod
  from typing import Callable, Iterable, Union
label_desc: Use image node_id 2 for calling the Filter obj's underlying member method code with example usage: obj.__call__() and returns: True