input: from typing import List, Any
  
  def find_matches(query: str, choices: List[str], threshold: int) -> List[str]:
      """
      Implements a fuzzy search algorithm that matches strings with near similarities based on Levenshtein distance.
      
      >>> find_matches('apple', ['apples', 'applet', 'banana', 'ape'], 2)
      ['apples', 'applet']
      >>> find_matches('cat', ['hat', 'car', 'bat'], 1)
      ['hat', 'bat']
      """
output:     from Levenshtein import distance
      return [choice for choice in choices if distance(query, choice) <= threshold]