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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def flatten_zip_dataset(*args):
 """A list of examples to a dataset containing mixed examples. Given a list of `n` dataset examples, flatten them by converting each element into a dataset and concatenating them to convert into a single dataset. Args: *args: A list containing one example each from `n` different datasets. Returns: flattened: A new dataset containing the examples from the list as part of a single dataset. """

  flattened = tf.data.Dataset.from_tensors(args[0])
  for ex in args[1:]:
    flattened = flattened.concatenate(tf.data.Dataset.from_tensors(ex))
  return flattened