code: def combine(**kwargs):
      """Generate combinations based on its keyword arguments.
  
      Two sets of returned combinations can be concatenated using +.  Their product
      can be computed using `times()`.
  
      Args:
        **kwargs: keyword arguments of form `option=[possibilities, ...]`
             or `option=the_only_possibility`.
  
      Returns:
        a list of dictionaries for each combination. Keys in the dictionaries are
        the keyword argument names.  Each key has one value - one of the
        corresponding keyword argument values.
      """
      if not kwargs:
          return [OrderedDict()]
  
      sort_by_key = lambda k: k[0]
      kwargs = OrderedDict(sorted(kwargs.items(), key=sort_by_key))
      first = list(kwargs.items())[0]
  
      rest = dict(list(kwargs.items())[1:])
      rest_combined = combine(**rest)
  
      key = first[0]
      values = first[1]
      if not isinstance(values, list):
          values = [values]
  
      return [
          OrderedDict(
              sorted(
                  list(combined.items()) + [(key, v)], key=sort_by_key
              )
          )
          for v in values
          for combined in rest_combined
      ]
  
imports: from collections import OrderedDict
  import contextlib
  import re
  import types
  import unittest
  from absl.testing import parameterized
  from tensorflow.python.util import tf_inspect
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 3 for calling a global function with example usage: combine() and returns: unknown, list