class_docstr: Cache for a gptneox.cpp model.
class_docstr_tok: ["Cache","for","a","gptneox.cpp","model","."]
code: def _find_longest_prefix_key(
      self,
      key: Tuple[gptneox_cpp.gptneox_token, ...],
  ) -> Optional[Tuple[gptneox_cpp.gptneox_token, ...]]:
      min_len = 0
      min_key = None
      keys = (
          (k, Gptneox.longest_token_prefix(k, key))
          for k in self.cache_state.keys()
      )
      for k, prefix_len in keys:
          if prefix_len > min_len:
              min_len = prefix_len
              min_key = k
      return min_key
  
imports: import os
  import sys
  import uuid
  import time
  import math
  import multiprocessing
  import ctypes
  from typing import List, Optional, Union, Generator, Sequence, Iterator, Deque, Tuple
  from collections import deque, OrderedDict
  from bigdl.llm.utils.common import invalidInputError
  from bigdl.llm.ggml.model.generation import GenerationMixin
  from .None import gptneox_cpp
  from .gptneox_types import *
label_desc: Use image node_id 3 for calling the GptneoxCache obj's underlying member method code with example usage: obj._find_longest_prefix_key(key) and returns: min_key