code: def numpy(self) -> Tuple[np.ndarray, List[np.ndarray]]:
      if self.n_items == -1:  # select all
          last_step = None
          steps = np.fromiter(self.steps.values(), np.intp)
          columns = [
              np.fromiter(arr.values(), arr.dtype)
              for arr in self.arrays
          ]
      else:
          last_step = self.meta_tree.get("last_step", None)
          steps = np.fromiter(
              islice(self.steps.values(), self.n_items), np.intp
          )
          columns = [
              np.fromiter(islice(arr.values(), self.n_items), arr.dtype)
              for arr in self.arrays
          ]
  
      # sort all columns by step
      sort_indices = steps.argsort()
      columns = [arr[sort_indices] for arr in columns]
      steps = steps[sort_indices]
      if last_step is not None and last_step != steps[-1]:
          step_hash = self.step_hash(last_step)
          # The `last_step` is provided by the meta tree which may potentially
          # be out of sync with the series tree.
          # If such case occurs, we fall back to the series tree for the last step.
          last_steps = []
          try:
              for i in range(len(columns)):
                  last_steps.append(self.arrays[i][step_hash])
          except KeyError:
              logger.debug("Last step not found in reservoir.")
          else:
              # Only if all the last steps are found, we use them.
              for i in range(len(columns)):
                  columns[i][-1] = last_steps[i]
              steps[-1] = last_step
  
      return steps, columns
  
imports: from typing import Generic, Union, Tuple, TypeVar, Dict, Iterator, Any, List
  from itertools import islice
  import numpy
  import logging
  from aim.sdk.tracker import STEP_HASH_FUNCTIONS
  from aim.storage.treeview import TreeView
  from aim.storage.arrayview import ArrayView
  from aim.storage.context import Context
  from aim.storage.hashing import hash_auto
  from typing import TYPE_CHECKING
label_desc: Use image node_id 6 for calling the SequenceV2Data obj's underlying member method code with example usage: obj.numpy() and returns: steps,  columns