code: def fromexample(name=None, engine=None):
      
      datasets = ['mouse', 'fish']
  
      if name is None:
          print('Availiable example image datasets')
          for d in datasets:
              print('- ' + d)
          return
  
      check_options(name, datasets)
  
      path = 's3n://thunder-sample-data/images/' + name
  
      if name == 'mouse':
          data = frombinary(path=path, npartitions=1, order='F', engine=engine)
  
      if name == 'fish':
          data = fromtif(path=path, npartitions=1, engine=engine)
  
      if spark and isinstance(engine, spark):
          data.cache()
          data.compute()
  
      return data
docs: Load example image data.
  
      Data are downloaded from S3, so this method requires an internet connection.
  
      Parameters
      ----------
      name : str
          Name of dataset, if not specified will print options.
  
      engine : object, default = None
          Computational engine (e.g. a SparkContext for Spark)