code: def __init__(
      self,
      api,
      queue,
      sweep_id=None,
      function=None,
      in_jupyter=None,
      count=None,
  ):
      self._api = api
      self._queue = queue
      self._run_processes = {}  # keyed by run.id (GQL run name)
      self._server_responses = []
      self._sweep_id = sweep_id
      self._in_jupyter = in_jupyter
      self._log = []
      self._running = True
      self._last_report_time = None
      self._function = function
      self._report_interval = wandb.env.get_agent_report_interval(
          self.REPORT_INTERVAL
      )
      self._kill_delay = wandb.env.get_agent_kill_delay(self.KILL_DELAY)
      self._finished = 0
      self._failed = 0
      self._count = count
      self._sweep_command = []
      self._max_initial_failures = (
          wandb.env.get_agent_max_initial_failures(
              self.MAX_INITIAL_FAILURES
          )
      )
      if self._report_interval is None:
          raise AgentError("Invalid agent report interval")
      if self._kill_delay is None:
          raise AgentError("Invalid agent kill delay")
      # if the directory to log to is not set, set it
      if os.environ.get("WANDB_DIR") is None:
          os.environ["WANDB_DIR"] = os.path.abspath(os.getcwd())
  
imports: import logging
  import multiprocessing
  import os
  import platform
  import queue
  import re
  import signal
  import socket
  import subprocess
  import sys
  import time
  import traceback
  from typing import Any, Dict, List
  import yaml
  import wandb
  from wandb import util, wandb_lib, wandb_sdk
  from wandb.agents.pyagent import pyagent
  from wandb.apis import InternalApi
  from wandb.sdk.launch.sweeps import utils
label_desc: Use image node_id 1 to create a new Agent object  with example: obj = Agent(api, queue, sweep_id, function, in_jupyter, count)