code: def __getitem__(self, idx):
      with numpy_seed(self.seed + idx):
          input = Image.fromarray(
              (
                  np.random.standard_normal(
                      [
                          self.crop_size,
                          self.crop_size,
                          self.num_channels,
                      ]
                  )
                  * 255
              ).astype(np.uint8)
          )
          target = np.random.randint(self.num_classes)
          return _get_typed_sample(input, target, idx, self.sample_type)
  
file_path: ClassyVision/classy_vision/dataset/core/random_image_datasets.py
imports: from enum import Enum
  import numpy
  from PIL import Image
  from ...generic.util import numpy_seed
label_desc: Use image node_id 2 for calling the RandomImageDataset obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: _get_typed_sample