old_contents: # Monkey patches BigQuery client creation to use proxy.
  
  # Import torch before anything else. This is a hacky workaround to an error on dlopen
  # reporting a limit on static TLS, tracked in https://github.com/pytorch/pytorch/issues/2575
  import torch
  import os
  
  _HOST_FILE = "/etc/hosts"
  
  kaggle_proxy_token = os.getenv("KAGGLE_DATA_PROXY_TOKEN")
  if kaggle_proxy_token:
      from google.auth import credentials
      from google.cloud import bigquery
      from google.cloud.bigquery._http import Connection
  
      host_entry = os.getenv("KAGGLE_DATA_PROXY_HOST_ENTRY")
      if host_entry:
          host_entry = host_entry.strip()
          with open(_HOST_FILE, "r") as host_file:
              for line in host_file:
                  if line.strip() == host_entry:
                      break
              else:
                  with open(_HOST_FILE, "a") as host_file_append:
                      host_file_append.write("\n"  # Just in case it wasn't newline terminated.
                                             + host_entry
                                             + "\n")
  
      Connection.API_BASE_URL = os.getenv("KAGGLE_DATA_PROXY_URL")
      Connection._EXTRA_HEADERS["X-KAGGLE-PROXY-DATA"] = kaggle_proxy_token
  
      bq_client = bigquery.Client
      bigquery.Client = lambda *args, **kwargs: bq_client(
          *args,
          credentials=credentials.AnonymousCredentials(),
          project=os.getenv("KAGGLE_DATA_PROXY_PROJECT"),
          **kwargs)
  
      credentials.AnonymousCredentials.refresh = lambda *args: None
  
new_contents: # Monkey patches BigQuery client creation to use proxy.
  
  # Import torch before anything else. This is a hacky workaround to an error on dlopen
  # reporting a limit on static TLS, tracked in https://github.com/pytorch/pytorch/issues/2575
  import torch
  import os
  
  kaggle_proxy_token = os.getenv("KAGGLE_DATA_PROXY_TOKEN")
  if kaggle_proxy_token:
      from google.auth import credentials
      from google.cloud import bigquery
      from google.cloud.bigquery._http import Connection
  
      Connection.API_BASE_URL = os.getenv("KAGGLE_DATA_PROXY_URL")
      Connection._EXTRA_HEADERS["X-KAGGLE-PROXY-DATA"] = kaggle_proxy_token
  
      bq_client = bigquery.Client
      bigquery.Client = lambda *args, **kwargs: bq_client(
          *args,
          credentials=credentials.AnonymousCredentials(),
          project=os.getenv("KAGGLE_DATA_PROXY_PROJECT"),
          **kwargs)
  
      credentials.AnonymousCredentials.refresh = lambda *args: None
  
subject: Revert "Support adding an /etc/host entry for the data proxy, if asked."