class_docstr: simple cache for WarmProcess-es
      
class_docstr_tok: ["simple","cache","for","WarmProcess-es"]
docstr: run processes for specified handlers
          
docstr_tok: ["run","processes","for","specified","handlers"]
code: def init(self):
      """run processes for specified handlers"""
      from mindsdb.interfaces.database.integrations import (
          integration_controller,
      )
  
      preload_handlers = {}
      config = Config()
      is_cloud = config.get("cloud", False)
  
      if config["ml_task_queue"]["type"] != "redis":
          lightwood_handler = integration_controller.handler_modules[
              "lightwood"
          ]
          if lightwood_handler.Handler is not None:
              preload_handlers[lightwood_handler.Handler] = (
                  4 if is_cloud else 1
              )
  
          huggingface_handler = integration_controller.handler_modules[
              "huggingface"
          ]
          if huggingface_handler.Handler is not None:
              preload_handlers[huggingface_handler.Handler] = (
                  1 if is_cloud else 0
              )
  
          openai_handler = integration_controller.handler_modules[
              "openai"
          ]
          if openai_handler.Handler is not None:
              preload_handlers[openai_handler.Handler] = (
                  1 if is_cloud else 0
              )
  
      with self._lock:
          if self._init is False:
              self._init = True
              for handler in preload_handlers:
                  self._keep_alive[handler.__name__] = preload_handlers[
                      handler
                  ]
                  self.cache[handler.__name__] = {
                      "last_usage_at": time.time(),
                      "handler_module": handler.__module__,
                      "processes": [
                          WarmProcess(
                              init_ml_handler, (handler.__module__,)
                          )
                          for _x in range(preload_handlers[handler])
                      ],
                  }
  
imports: import sys
  import time
  import threading
  from typing import Optional, Callable
  from concurrent.futures import ProcessPoolExecutor, Future
  from pandas import DataFrame
  from mindsdb.utilities.config import Config
  from mindsdb.utilities.context import context
  from mindsdb.utilities.ml_task_queue.const import ML_TASK_TYPE
  from mindsdb.integrations.libs.learn_process import learn_process, predict_process
label_desc: Use image node_id 5 for calling the ProcessCache obj's underlying member method code with example usage: obj.init() without return types