code: def collect(self) -> List[Dict[str, ndarray]]:
      # return a list of shards
      partitions = self.collect_partitions()
      data = [item for part in partitions for item in part]
      return data
  
imports: from __future__ import annotations
  from collections import defaultdict
  import ray
  import ray._private.services
  import uuid
  import random
  from bigdl.orca.data import XShards
  from bigdl.orca.ray import OrcaRayContext
  import logging
  from bigdl.dllib.utils.log4Error import invalidInputError
  from numpy import ndarray
  from typing import TYPE_CHECKING, Any, Callable, DefaultDict, Dict, List, Tuple, Union, no_type_check
label_desc: Use image node_id 4 for calling the RayXShards obj's underlying member method code with example usage: obj.collect() and returns: data