code: def test_fits_tokens_within_context_window(self):
      adapter_spec = AdapterSpec(
          method=ADAPT_LANGUAGE_MODELING,
          input_prefix="",
          model="openai/curie",
          output_prefix="",
          max_tokens=0,
      )
      adapter = AdapterFactory.get_adapter(
          adapter_spec, self.tokenizer_service
      )
  
      # The tokens translate to: '<|endoftext|>The the the the ... the the'
      # There are 1 `conditioning_token` and 2049 `pred_tokens`. Since the `max_request_length`
      # of GPT-3 is 2049, calling `fits_tokens_within_context_window` will remove the last `pred_token`
      conditioning_tokens: List[TokenizationToken] = [
          TokenizationToken(50256)
      ]
      pred_tokens: List[TokenizationToken] = [
          TokenizationToken(464)
      ] + [TokenizationToken(262)] * 2048
      prompt, pred_tokens = adapter.fits_tokens_within_context_window(
          conditioning_tokens,
          pred_tokens,
          adapter.window_service.max_request_length,
      )
  
      # Ensure the prompt is correct
      assert prompt == "<|endoftext|>The" + " the" * 2047
  
      # Ensure the pred_tokens are correct
      assert (
          pred_tokens
          == [TokenizationToken(464)] + [TokenizationToken(262)] * 2047
      )
  
file_path: H2O/h2o_hf/helm/src/helm/benchmark/adaptation/adapters/test_language_modeling_adapter.py
imports: from typing import List
  from helm.common.tokenization_request import TokenizationToken
  from helm.benchmark.adaptation.adapter_spec import AdapterSpec
  from .adapter_factory import AdapterFactory, ADAPT_LANGUAGE_MODELING
  from .test_adapter import TestAdapter
label_desc: Use image node_id 2 for calling the TestLanguageModelingAdapter obj's underlying member method code with example usage: obj.test_fits_tokens_within_context_window() without return types