code: def remix(
      *triples_factories: CoreTriplesFactory, **kwargs
  ) -> List[CoreTriplesFactory]:
      """Remix the triples from the training, testing, and validation set.
  
      :param triples_factories: A sequence of triples factories
      :param kwargs: Keyword arguments to be passed to :func:`split`
      :returns: A sequence of triples factories of the same sizes but randomly re-assigned triples
  
      :raises NotImplementedError: if any of the triples factories have ``create_inverse_triples``
      """
      for tf in triples_factories:
          if tf.create_inverse_triples:
              raise NotImplementedError(
                  "The remix algorithm is not implemented for datasets with inverse triples"
              )
  
      all_triples = cat_triples(*triples_factories)
      ratios = _get_ratios(*triples_factories)
  
      return [
          triples_factories[0].clone_and_exchange_triples(triples)
          for triples in split(all_triples, ratios=ratios, **kwargs)
      ]
  
imports: from typing import List, Sequence
  import click
  from .splitting import normalize_ratios, split
  from .triples_factory import CoreTriplesFactory, cat_triples
label_desc: Use image node_id 1 for calling a global function with example usage: remix() and returns: unknown