code: def get_int_from_env(env_keys, default):
      """Returns the first positive env value found in the `env_keys` list or the default."""
      for e in env_keys:
          val = int(os.environ.get(e, -1))
          if val >= 0:
              return val
      return int(default)
  
file_path: BigDL/python/llm/example/GPU/QLoRA-FineTuning/alpaca-qlora/alpaca_qlora_finetuning.py
imports: import os
  from typing import List
  import fire
  import torch
  import transformers
  from datasets import load_dataset
  import accelerate
  from transformers import LlamaTokenizer
  from peft import get_peft_model_state_dict, set_peft_model_state_dict
  from utils.prompter import Prompter
  from transformers import BitsAndBytesConfig
  from bigdl.llm.transformers import AutoModelForCausalLM
  from bigdl.llm.transformers.qlora import get_peft_model, prepare_model_for_kbit_training, LoraConfig
  from bigdl.llm.utils.common import invalidInputError
label_desc: Use image node_id 1 for calling a global function with example usage: get_int_from_env(env_keys, default) and returns: int, val