code: def test_add_padding_shape_and_type(
      self,
      start_pad_width,
      end_pad_width,
      num_dims,
      num_groups,
      ret_lengths,
      gc,
      dc,
  ):
      np.random.seed(666)
      lengths = []
      for _ in range(num_groups):
          lengths.append(np.random.randint(0, 3))
      if sum(lengths) == 0:
          lengths = []
  
      data_shape = []
      for _ in range(num_dims):
          data_shape.append(np.random.randint(1, 4))
      if sum(lengths) > 0:
          data_shape[0] = sum(lengths)
  
      data = np.random.randn(*data_shape).astype(np.float32)
  
      self._local_test_add_padding_shape_and_type(
          data=data,
          lengths=lengths if len(lengths) else None,
          start_pad_width=start_pad_width,
          end_pad_width=end_pad_width,
          ret_lengths=ret_lengths,
      )
  
imports: from caffe2.python import core
  from functools import partial
  from hypothesis import given, settings
  import caffe2.python.hypothesis_test_util
  import caffe2.python.serialized_test.serialized_test_util
  import hypothesis.strategies
  import numpy
  import unittest
  from caffe2.python import workspace
label_desc: Use image node_id 6 for calling the TestSequenceOps obj's underlying member method code with example usage: obj.test_add_padding_shape_and_type(start_pad_width, end_pad_width, num_dims, num_groups, ret_lengths, gc, dc) without return types