code: def test_basic_bad_shape(self):
      keys = dataset_ops.Dataset.range(100)
      values = dataset_ops.Dataset.range(100).map(
          lambda x: string_ops.as_string(x * 2)
      )
      values = values.batch(4)
      ds = dataset_ops.Dataset.zip((keys, values))
      with self.assertRaises(ValueError):
          lookup_ops.DatasetInitializer(ds)
  
imports: import os
  from tensorflow.python import tf2
  from tensorflow.python.data.experimental.ops import lookup_ops
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import readers
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import lookup_ops
  from tensorflow.python.ops import string_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling the DatasetInitializerTest obj's underlying member method code with example usage: obj.test_basic_bad_shape() without return types