class_docstr: Class of MNIST model that returns cached predictions.
code: def __init__(self, real_model):
      self.real_model = real_model
      with open(
          MNIST_DIR / "static_predictions.pickle", "rb"
      ) as handle:
          predictions = pickle.load(handle)
      self.cache = predictions
  
file_path: deepchecks/deepchecks/vision/datasets/classification/mnist_tensorflow.py
imports: import logging
  import pathlib
  import pickle
  import typing
  import numpy
  from deepchecks.vision.utils.test_utils import hash_image
  from deepchecks.vision.vision_data import VisionData
label_desc: Use image node_id 1 to create a new MockModel object  with example: obj = MockModel(real_model)