code: def convert_to_bool(df, col_name):
      df[col_name] = np.where(df[col_name] >= 0.5, True, False)
  
file_path: detoxify/model_eval/compute_bias_metric.py
imports: import argparse
  import json
  import numpy
  import pandas
  from sklearn.metrics import roc_auc_score
  from utils import compute_auc, compute_subgroup_auc
label_desc: Use image node_id 4 for calling a global function with example usage: convert_to_bool(df, col_name) without return types