code: def _sample(self, data, sample_size):
      sample_indices = self._sample_indices(
          sample_size, len(data) * (len(data) - 1) // 2
      )
  
      sample = [
          (data[id_1], data[id_2]) for id_1, id_2 in sample_indices
      ]
  
      return sample
  
imports: from __future__ import annotations
  import logging
  import random
  from abc import ABC, abstractmethod
  from typing import TYPE_CHECKING, overload
  from warnings import warn
  import numpy
  import numpy.typing
  import sklearn.linear_model
  import dedupe.core
  import dedupe.training
label_desc: Use image node_id 5 for calling the DedupeBlockLearner obj's underlying member method code with example usage: obj._sample(data, sample_size) and returns: sample