code: def test_sample_examples_open_ended_generation_stress(self):
      adapter_spec = AdapterSpec(
          method=ADAPT_GENERATION,
          model="openai/ada",
          max_train_instances=5,
      )
      adapter = AdapterFactory.get_adapter(
          adapter_spec, self.tokenizer_service
      )
  
      all_train_instances: List[Instance] = [
          Instance(
              Input(text="prompt3"),
              references=[
                  Reference(
                      Output(text="reference3"), tags=[CORRECT_TAG]
                  )
              ],
          ),
          Instance(
              Input(text="prompt3"),
              references=[
                  Reference(
                      Output(text="reference3"), tags=[CORRECT_TAG]
                  )
              ],
          ),
          Instance(
              Input(text="prompt1"),
              references=[
                  Reference(
                      Output(text="reference1"), tags=[CORRECT_TAG]
                  )
              ],
          ),
          Instance(
              Input(text="prompt1"),
              references=[
                  Reference(
                      Output(text="reference1"), tags=[CORRECT_TAG]
                  )
              ],
          ),
          Instance(
              Input(text="prompt1"),
              references=[
                  Reference(
                      Output(text="reference1"), tags=[CORRECT_TAG]
                  )
              ],
          ),
          Instance(
              Input(text="prompt2"),
              references=[
                  Reference(
                      Output(text="reference2"), tags=[CORRECT_TAG]
                  )
              ],
          ),
          Instance(
              Input(text="prompt2"),
              references=[
                  Reference(
                      Output(text="reference2"), tags=[CORRECT_TAG]
                  )
              ],
          ),
      ]
      # Add prompt4,..,prompt100
      for i in range(4, 100):
          all_train_instances.append(
              Instance(
                  Input(text=f"prompt{i}"),
                  references=[
                      Reference(
                          Output(text=f"reference{i}"),
                          tags=[CORRECT_TAG],
                      )
                  ],
              )
          )
  
      previous_train_instances: List[List[Instance]] = []
      for seed in range(10):
          train_instances = adapter.sample_examples(
              all_train_instances, seed=seed
          )
          # Ensure calling the method with the same seed again picks the same train Instances
          assert train_instances == adapter.sample_examples(
              all_train_instances, seed=seed
          )
  
          assert len(train_instances) == 5
          assert (
              train_instances[0].input.text == "prompt1"
          ), "prompt1 Instance had the most common label: reference1"
          assert train_instances[1].input.text in ["prompt2", "prompt3"]
          assert train_instances[2].input.text in ["prompt2", "prompt3"]
          assert train_instances[3].input.text not in [
              "prompt1",
              "prompt2",
              "prompt3",
          ]
          assert train_instances[4].input.text not in [
              "prompt1",
              "prompt2",
              "prompt3",
          ]
  
          # Ensure we haven't seen the same in-context examples before from previous seeds
          for other_train_instances in previous_train_instances:
              assert (
                  train_instances != other_train_instances
              ), "Examples should differ when changing the seed"
          previous_train_instances.append(train_instances)
  
file_path: H2O/h2o_hf/helm/src/helm/benchmark/adaptation/adapters/test_generation_adapter.py
imports: from typing import List
  from helm.benchmark.scenarios.scenario import CORRECT_TAG, create_scenario, Instance, Reference, Input, Output
  from helm.benchmark.run_specs import get_scenario_spec1, get_adapter_spec1
  from helm.benchmark.adaptation.prompt import Prompt
  from helm.benchmark.adaptation.adapter_spec import AdapterSpec
  from .adapter_factory import AdapterFactory, ADAPT_GENERATION
  from .test_adapter import TestAdapter
label_desc: Use image node_id 6 for calling the TestGenerationAdapter obj's underlying member method code with example usage: obj.test_sample_examples_open_ended_generation_stress() without return types