code: def cat(
      cls,
      chunks_info: List[Tuple[int, int]],
      values: List["HistogramPlainValues"],
  ):
      data = []
      for (num_chunk, chunk_size), value in zip(chunks_info, values):
          data.append(
              value.data.reshape(num_chunk, chunk_size, value.stride)
          )
      data = torch.cat(data, dim=1)
      size = data.shape[0]
      dtype = data.dtype
      data = data.flatten()
      return cls(data, dtype, size, values[0].stride)
  
imports: import logging
  import typing
  from typing import List, Tuple
  import torch
  from ._value import HistogramValues
  from ..indexer import Shuffler
label_desc: Use image node_id 16 for calling the HistogramPlainValues obj's underlying member method code with example usage: obj.cat(cls, chunks_info, values) and returns: cls