code: def format_prediction_string(boxes, scores):
      pred_strings = []
      for j in zip(scores, boxes):
          pred_strings.append(
              "{0:.4f} {1} {2} {3} {4}".format(
                  j[0], j[1][0], j[1][1], j[1][2], j[1][3]
              )
          )
  
      return " ".join(pred_strings)
  
imports: import argparse
  import ast
  import os
  import albumentations
  import numpy
  import pandas
  import timm
  import torch
  import torch.nn
  import torchvision
  from effdet import DetBenchTrain, EfficientDet, get_efficientdet_config
  from effdet.config.model_config import efficientdet_model_param_dict
  from effdet.efficientdet import HeadNet
  from PIL import Image, ImageFile
  from sklearn.model_selection import train_test_split
  from torchvision.models.detection.faster_rcnn import FastRCNNPredictor
  from tez import Tez, TezConfig
label_desc: Use image node_id 2 for calling a global function with example usage: format_prediction_string(boxes, scores) and returns: str