code: def testShapeError(self):
      def generator():
          yield [1.0, 2.0, 3.0]
          yield [4.0, 5.0, 6.0]
          yield [7.0, 8.0, 9.0, 10.0]
  
      dataset = dataset_ops.Dataset.from_generator(
          generator, dtypes.float32, output_shapes=[None]
      ).batch(3)
      self.assertDatasetProduces(
          dataset,
          expected_error=(
              errors.InvalidArgumentError,
              r"Cannot batch tensors with different shapes in component 0. First "
              r"element had shape \[3\] and element 2 had shape \[4\].",
          ),
      )
  
imports: import time
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.checkpoint import checkpoint_management
  from tensorflow.python.data.experimental.ops import random_access
  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.util import nest
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import script_ops
  from tensorflow.python.ops.ragged import ragged_concat_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_math_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import test
label_desc: Use image node_id 7 for calling the BatchTest obj's underlying member method code with example usage: obj.testShapeError() without return types