class_docstr: This class is a wrapper over the Dataset component and can be used to create Examples
  for Blocks / Interfaces. Populates the Dataset component with examples and
  assigns event listener so that clicking on an example populates the input/output
  components. Optionally handles example caching for fast inference.
  
  Demos: blocks_inputs, fake_gan
  Guides: more-on-examples-and-flagging, using-hugging-face-integrations, image-classification-in-pytorch, image-classification-in-tensorflow, image-classification-with-vision-transformers, create-your-own-friends-with-a-gan
docstr: Loads a particular cached example for the interface.
  Parameters:
      example_id: The id of the example to process (zero-indexed).
docstr_tok: ["Loads","a","particular","cached","example","for","the","interface",".","Parameters",":","example_id",":","The","id","of","the","example","to","process","(","zero-indexed",")","."]
code: def load_from_cache(self, example_id: int) -> list[Any]:
      """Loads a particular cached example for the interface.
      Parameters:
          example_id: The id of the example to process (zero-indexed).
      """
      with open(self.cached_file, encoding="utf-8") as cache:
          examples = list(csv.reader(cache))
      example = examples[example_id + 1]  # +1 to adjust for header
      output = []
      assert self.outputs is not None
      for component, value in zip(self.outputs, example):
          value_to_use = value
          try:
              value_as_dict = ast.literal_eval(value)
              # File components that output multiple files get saved as a python list
              # need to pass the parsed list to serialize
              # TODO: Better file serialization in 4.0
              if isinstance(value_as_dict, list) and isinstance(
                  component, components.File
              ):
                  value_to_use = value_as_dict
              assert utils.is_update(value_as_dict)
              output.append(value_as_dict)
          except (ValueError, TypeError, SyntaxError, AssertionError):
              output.append(
                  component.read_from_flag(
                      value_to_use,
                      self.cached_folder,
                  )
              )
      return output
  
imports: from __future__ import annotations
  import ast
  import csv
  import inspect
  import os
  import shutil
  import subprocess
  import tempfile
  import warnings
  from functools import partial
  from pathlib import Path
  from typing import TYPE_CHECKING, Any, Callable, Iterable, Literal, Optional
  import matplotlib.pyplot
  import numpy
  import PIL
  import PIL.Image
  from gradio_client import utils
  from gradio_client.documentation import document, set_documentation_group
  from matplotlib import animation
  from gradio import components, oauth, processing_utils, routes, utils, wasm_utils
  from gradio.context import Context, LocalContext
  from gradio.data_classes import GradioModel, GradioRootModel
  from gradio.events import EventData
  from gradio.exceptions import Error
  from gradio.flagging import CSVLogger
label_desc: Use image node_id 3 for calling the Examples obj's underlying member method code with example usage: obj.load_from_cache(example_id) and returns: output