code: def testTakeWhileDataset(self, num_elements, window_size):
      def _predicate_func(elem):
          return array_ops.shape(elem)[0] > (window_size - 1)
  
      dataset = dataset_ops.Dataset.range(num_elements).batch(
          window_size
      )
      dataset = dataset.take_while(predicate=_predicate_func).flat_map(
          dataset_ops.Dataset.from_tensor_slices
      )
  
      expected_num_elements = (
          int(num_elements / window_size) * window_size
      )
      self.assertDatasetProduces(
          dataset, np.arange(expected_num_elements)
      )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.kernel_tests import checkpoint_test_base
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import options
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import errors
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the TakeWhileTest obj's underlying member method code with example usage: obj.testTakeWhileDataset(num_elements, window_size) and returns: unknown