code: def eval_task():
      args = {
          "tasks": ["jsquad-1.1-0.2"],
          "num_fewshot": [1],
          "model": "hf-causal",
          "model_args": "pretrained=rinna/japanese-gpt-1b,use_fast=False",
          "device": "cuda",
          "limit": 100,
          "verbose": True,
      }
  
      main_eval(args, output_path="./check.json")
  
file_path: lm-evaluation-harness/scripts/run_eval.py
imports: import submitit
  from submitit.helpers import CommandFunction
  import argparse
  from notify import notify
  from pathlib import Path
  from main_eval import main
label_desc: Use image node_id 1 for calling a global function with example usage: eval_task() without return types