code: def compare_faces(
      known_face_encodings, face_encoding_to_check, tolerance=0.6
  ):
      """
      Compare a list of face encodings against a candidate encoding to see if they match.
  
      :param known_face_encodings: A list of known face encodings
      :param face_encoding_to_check: A single face encoding to compare against the list
      :param tolerance: How much distance between faces to consider it a match. Lower is more strict. 0.6 is typical best performance.
      :return: A list of True/False values indicating which known_face_encodings match the face encoding to check
      """
      return list(
          face_distance(known_face_encodings, face_encoding_to_check)
          <= tolerance
      )
  
file_path: face_recognition/face_recognition/api.py
imports: import PIL.Image
  import dlib
  import numpy
  from PIL import ImageFile
label_desc: Use image node_id 13 for calling a global function with example usage: compare_faces(known_face_encodings, face_encoding_to_check, tolerance) and returns: list