code: def testZipIgnoreError(self):
      a = dataset_ops.Dataset.from_tensor_slices([1.0, 2.0, 0.0, 4.0])
      b = a.map(lambda x: array_ops.check_numerics(1.0 / x, "error"))
  
      dataset = dataset_ops.Dataset.zip((b, a)).ignore_errors()
      get_next = self.getNext(dataset)
  
      for x in [1.0, 2.0, 4.0]:
          self.assertEqual((1.0 / x, x), self.evaluate(get_next()))
      with self.assertRaises(errors.OutOfRangeError):
          self.evaluate(get_next())
  
imports: import os
  import sys
  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.data.ops import readers
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import errors
  from tensorflow.python.lib.io import python_io
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import io_ops
  from tensorflow.python.platform import test
  from tensorflow.python.util import compat
label_desc: Use image node_id 6 for calling the IgnoreErrorsTest obj's underlying member method code with example usage: obj.testZipIgnoreError() without return types