code: def testZipDifferentRates(self):
      cluster = data_service_test_base.TestCluster(num_workers=3)
      a = dataset_ops.Dataset.range(100)
      b = dataset_ops.Dataset.range(100).filter(
          lambda x: math_ops.equal(x % 10, 0)
      )
  
      ds = dataset_ops.Dataset.zip((a, b))
      ds = self._make_dynamic_sharding_dataset(ds, cluster)
  
      self.assertLen(self.getDatasetOutput(ds), 10)
  
imports: import collections
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.kernel_tests.service import test_base
  from tensorflow.python.data.experimental.ops import data_service_ops
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.kernel_tests import tf_record_test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import readers
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import errors
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 19 for calling the DynamicShardingTest obj's underlying member method code with example usage: obj.testZipDifferentRates() without return types