class_docstr: Sample negative spot and asoc to construct SSI
class_docstr_tok: ["Sample","negative","spot","and","asoc","to","construct","SSI"]
docstr: Sample Asoc
          
docstr_tok: ["Sample","Asoc"]
code: def sample_asoc(self, positive):
      """Sample Asoc"""
      negative_asoc = self.sample_negative(
          postive=positive, candidates=self.asoc_list, k=self.negative
      )
      prefix_asoc_candidates = positive + negative_asoc
      converted_asoc_prefix = self.convert_prefix(
          candidates=prefix_asoc_candidates,
          prompt=self.asoc_prompt,
          mapper=self.asoc_dict,
          ordered_prompt=self.ordered_prompt,
      )
      return converted_asoc_prefix, negative_asoc
  
imports: import os
  from dataclasses import dataclass
  import torch
  import logging
  import random
  import math
  from typing import Optional, Union
  from collections import OrderedDict
  from transformers import PreTrainedTokenizerBase, PreTrainedModel
  from transformers.file_utils import PaddingStrategy
  from ...extraction.record_schema import RecordSchema
  from ...extraction.dataset_processer import spot_prompt, asoc_prompt
  from ...extraction.constants import BaseStructureMarker, text_start
  from ...extraction.utils import convert_to_record_function
  from ...extraction.noiser.spot_asoc_noiser import SpotAsocNoiser
label_desc: Use image node_id 5 for calling the DynamicSSIGenerator obj's underlying member method code with example usage: obj.sample_asoc(positive) and returns: converted_asoc_prefix,  negative_asoc