code: def decrypt(
      self,
      sk_map: MutableMapping[str, typing.Any],
      coder_map: MutableMapping[
          str, typing.Tuple[typing.Any, torch.dtype]
      ],
      unpacker_map: Optional[
          MutableMapping[
              str, typing.Tuple[typing.Any, int, int, int, int, int]
          ]
      ] = None,
  ):
      out = list(
          self._splits.mapValues(
              _decrypt_func(
                  sk_map, coder_map, self._squeezed, unpacker_map
              )
          ).collect()
      )
      out.sort(key=lambda x: x[0])
      data = HistogramSplits.cat([split for _, split in out])
      return Histogram(
          HistogramIndexer(self._node_size, [self._node_data_size]),
          data,
      )
  
imports: import logging
  import typing
  from typing import List, MutableMapping, Tuple, Optional
  import torch
  from fate.arch.computing.api import KVTable
  from ._histogram_local import Histogram
  from ._histogram_splits import HistogramSplits
  from .indexer import HistogramIndexer, Shuffler
label_desc: Use image node_id 14 for calling the DistributedHistogram obj's underlying member method code with example usage: obj.decrypt(sk_map, coder_map, unpacker_map) and returns: Histogram