docstr: Test of the parallel ccmbinator with weights and minimum.
docstr_tok: ["Test","of","the","parallel","ccmbinator","with","weights","and","minimum","."]
code: def test_parallel_with_weights_and_minimum(self):
      """Test of the parallel ccmbinator with weights and minimum."""
      dataset1 = lambda: (i for i in range(10))
      dataset2 = lambda: (i for i in range(10, 110))
      parallel = data.Parallel(
          [dataset1, dataset2],
          counters=(10, 100),
          reweight_by_minimum=True,
      )
      generator = parallel()
  
      self.assertEqual(next(generator), 0)
      self.assertEqual(next(generator), 10)
      self.assertEqual(next(generator), 11)
      self.assertEqual(next(generator), 12)
      self.assertEqual(next(generator), 13)
      self.assertEqual(next(generator), 14)
      self.assertEqual(next(generator), 15)
      self.assertEqual(next(generator), 16)
      self.assertEqual(next(generator), 17)
      self.assertEqual(next(generator), 18)
      self.assertEqual(next(generator), 19)
      self.assertEqual(next(generator), 1)
      self.assertEqual(next(generator), 20)
      self.assertEqual(next(generator), 21)
      self.assertEqual(next(generator), 22)
      self.assertEqual(next(generator), 23)
      self.assertEqual(next(generator), 24)
      self.assertEqual(next(generator), 25)
      self.assertEqual(next(generator), 26)
      self.assertEqual(next(generator), 27)
      self.assertEqual(next(generator), 28)
      self.assertEqual(next(generator), 29)
      self.assertEqual(next(generator), 2)
  
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 13 for calling the InputsTest obj's underlying member method code with example usage: obj.test_parallel_with_weights_and_minimum() without return types