code: def test_count_and_skip(self):
      dataset = lambda _: ((i, i + 1) for i in range(10))
      examples = data.Serial(dataset, data.CountAndSkip("toy_data"))
      ex_generator = examples()
      ex1 = next(ex_generator)
      self.assertEqual(ex1, (0, 1))
      self.assertEqual(data.inputs.data_counters["toy_data"], 1)
      ex2 = next(ex_generator)
      self.assertEqual(ex2, (1, 2))
      self.assertEqual(data.inputs.data_counters["toy_data"], 2)
      ex3 = next(examples())  # new generator, will skip
      self.assertEqual(ex3, (2, 3))
      self.assertEqual(data.inputs.data_counters["toy_data"], 3)
      data.inputs.data_counters["toy_data"] = 0  # reset
      ex4 = next(examples())  # new generator, was reset
      self.assertEqual(ex4, (0, 1))
      self.assertEqual(data.inputs.data_counters["toy_data"], 1)
  
imports: import itertools
  import os
  from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  from trax import data
label_desc: Use image node_id 9 for calling the InputsTest obj's underlying member method code with example usage: obj.test_count_and_skip() without return types