code: def intervals_slice(
      self, intervals: typing.List[typing.Tuple[int, int]]
  ):
      size = sum(e - s for s, e in intervals)
      result = torch.zeros(size * self.stride, dtype=self.data.dtype)
      start = 0
      for s, e in intervals:
          end = start + (e - s) * self.stride
          result[start:end] = self.data[
              s * self.stride : e * self.stride
          ]
          start = end
      return HistogramPlainValues(result, self.dtype, size, self.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 5 for calling the HistogramPlainValues obj's underlying member method code with example usage: obj.intervals_slice(intervals) and returns: HistogramPlainValues