code: def test_minibatches_unknown_batch_size(self):
      data = np.random.random((24, 2))
      iterbatches = iters.minibatches(
          data, batch_size=None, shuffle=False
      )
  
      for index, batch in enumerate(iterbatches, start=1):
          self.assertEqual(batch.shape, (24, 2))
          self.assertIs(batch, data)
  
      self.assertEqual(index, 1)
  
file_path: neupy/tests/utils/test_iters.py
imports: import numpy
  from neupy.utils import iters
  from neupy.utils.iters import average_batch_errors, count_samples, count_minibatches
  from base import BaseTestCase
label_desc: Use image node_id 2 for calling the ItersUtilsTestCase obj's underlying member method code with example usage: obj.test_minibatches_unknown_batch_size() without return types