class_docstr: Implements the CachedFuncInfo interface for @st.cache_resource
code: def get_function_cache(self, function_key: str) -> Cache:
      return _resource_caches.get_cache(
          key=function_key,
          display_name=self.display_name,
          max_entries=self.max_entries,
          ttl=self.ttl,
          validate=self.validate,
          allow_widgets=self.allow_widgets,
      )
  
imports: from __future__ import annotations
  import math
  import threading
  import types
  from datetime import timedelta
  from typing import Any, Callable, TypeVar, cast, overload
  from cachetools import TTLCache
  from typing_extensions import TypeAlias
  import streamlit
  from streamlit.deprecation_util import show_deprecation_warning
  from streamlit.logger import get_logger
  from streamlit.runtime.caching import cache_utils
  from streamlit.runtime.caching.cache_errors import CacheKeyNotFoundError
  from streamlit.runtime.caching.cache_type import CacheType
  from streamlit.runtime.caching.cache_utils import Cache, CachedFuncInfo, make_cached_func_wrapper, ttl_to_seconds
  from streamlit.runtime.caching.cached_message_replay import CachedMessageReplayContext, CachedResult, ElementMsgData, MsgData, MultiCacheResults
  from streamlit.runtime.caching.hashing import HashFuncsDict
  from streamlit.runtime.metrics_util import gather_metrics
  from streamlit.runtime.scriptrunner.script_run_context import get_script_run_ctx
  from streamlit.runtime.stats import CacheStat, CacheStatsProvider, group_stats
  from streamlit.vendor.pympler.asizeof import asizeof
label_desc: Use image node_id 5 for calling the CachedResourceFuncInfo obj's underlying member method code with example usage: obj.get_function_cache(function_key) and returns: _resource_caches