code: def sweep_bayes_nested(args):
      config = dict(
          method="bayes",
          metric=dict(name="feat1.val_acc", goal="maximize"),
          parameters=dict(
              param0=dict(values=[2]),
              param1=dict(values=[0, 1, 4]),
              param2=dict(values=[0, 0.5, 1.5]),
          ),
      )
      sweep_id = wandb.sweep(config, project=PROJECT)
      print("sweep:", sweep_id)
      wandb.agent(sweep_id, function=train, count=9)
      check(sweep_id, num=9, result=2 + 4 * L + 1.5 * L * L)
  
file_path: wandb/tests/standalone_tests/sweep_check.py
imports: import argparse
  import os
  import shutil
  import time
  import requests
  import wandb
label_desc: Use image node_id 8 for calling a global function with example usage: sweep_bayes_nested(args) without return types