code: def get_all_anonymous_mappings(self, struct1, struct2, niggli=True,
                                     include_dist=False):
          
          struct1, struct2 = self._process_species([struct1, struct2])
          struct1, struct2, fu, s1_supercell = self._preprocess(struct1, struct2,
                                                                niggli)
  
          matches = self._anonymous_match(struct1, struct2, fu, s1_supercell,
                                          break_on_match=not include_dist)
          if matches:
              if include_dist:
                  return [(m[0], m[1][0]) for m in matches]
              else:
                  return [m[0] for m in matches]
docs: Performs an anonymous fitting, which allows distinct species in one
          structure to map to another. Returns a dictionary of species
          substitutions that are within tolerance
  
          Args:
              struct1 (Structure): 1st structure
              struct2 (Structure): 2nd structure
              niggli (bool): Find niggli cell in preprocessing
              include_dist (bool): Return the maximin distance with each mapping
  
          Returns:
              list of species mappings that map struct1 to struct2.