docstr: Encodes the input text to tokens.
docstr_tok: ["Encodes","the","input","text","to","tokens","."]
code: def encode(
      self,
      text: str,
      truncation: bool = False,
      max_length: Optional[int] = None,
  ) -> EncodeResult:
      """
      Encodes the input text to tokens.
      """
      # If a value for `max_length` is not specified, then set it to the `max_request_length`of the `WindowService`.
      if max_length is None:
          max_length = self.max_request_length
  
      response: TokenizationRequestResult = self.service.tokenize(
          TokenizationRequest(
              text,
              tokenizer=self.tokenizer_name,
              encode=True,
              truncation=truncation,
              max_length=max_length,
          )
      )
      return EncodeResult(text=text, tokens=response.tokens)
  
file_path: H2O/h2o_hf/helm/src/helm/benchmark/window_services/local_window_service.py
imports: from typing import List, Optional, cast
  from .window_service import WindowService, EncodeResult
  from .tokenizer_service import TokenizerService
  from helm.common.tokenization_request import DecodeRequest, DecodeRequestResult, TokenizationRequest, TokenizationRequestResult, TokenizationToken
label_desc: Use image node_id 2 for calling the LocalWindowService obj's underlying member method code with example usage: obj.encode(text, truncation, max_length) and returns: EncodeResult