code: def __next__(self):
      if self._take is None or self._count < self._take:
          batch_data = self._q.get()
          if batch_data is None:
              raise StopIteration()
          else:
              self._count += 1
              return {
                  key: tf.constant(
                      batch_data[key], dtype=self._output_types[key]
                  )
                  for key in batch_data
              }
      else:
          raise StopIteration()
  
imports: import multiprocessing
  import tensorflow
  import numpy
  import random
label_desc: Use image node_id 3 for calling the _ParallelDataset obj's underlying member method code with example usage: obj.__next__() and returns: unknown