code: def splice_signatures(*sigs):
      """Creates a new signature by splicing together any number of signatures.
  
      The splicing effectively flattens the top level input signatures. For
      instance, it would perform the following mapping:
  
        - `*sigs: sd1, (sd2, sd3, sd4), (), sd5`
        - return: `(sd1, sd2, sd3, sd4, sd5)`
  
      Args:
        *sigs: Any number of signatures. A signature is either a `ShapeDtype`
            instance or a tuple of `ShapeDtype` instances.
  
      Returns:
        A single `ShapeDtype` instance if the spliced signature has one element,
        else a tuple of `ShapeDtype` instances.
      """
      result_sigs = []
      for sig in sigs:
          if isinstance(sig, (list, tuple)):
              result_sigs.extend(sig)
          else:
              result_sigs.append(sig)
      return (
          result_sigs[0]
          if len(result_sigs) == 1
          else tuple(result_sigs)
      )
  
file_path: trax/trax/shapes.py
imports: import numpy
  import tensorflow
label_desc: Use image node_id 2 for calling a global function with example usage: splice_signatures() and returns: unknown