code: def __init__(
      self,
      sample_transforms=[],
      batch_transforms=[],
      batch_size=1,
      shuffle=False,
      drop_last=False,
      num_classes=80,
      **kwargs,
  ):
      super(TestReader, self).__init__(
          sample_transforms,
          batch_transforms,
          batch_size,
          shuffle,
          drop_last,
          num_classes,
          **kwargs,
      )
  
imports: import copy
  import os
  import traceback
  import six
  import sys
  import numpy
  import paddle
  import paddle.nn.functional
  from copy import deepcopy
  from paddle.io import DataLoader, DistributedBatchSampler
  from .utils import default_collate_fn
  from ppdet.core.workspace import register
  from .None import transform
  from .shm_utils import _get_shared_memory_size_in_M
  from ppdet.utils.logger import setup_logger
label_desc: Use image node_id 1 to create a new TestReader object from inherited base classes: BaseDataLoader with example: obj = TestReader(sample_transforms, batch_transforms, batch_size, shuffle, drop_last, num_classes)