old_contents: import os
  
  kaggle_proxy_token = os.getenv("KAGGLE_DATA_PROXY_TOKEN")
  bq_user_jwt = os.getenv("KAGGLE_BQ_USER_JWT")
  if kaggle_proxy_token or bq_user_jwt:
      from google.auth import credentials
      from google.cloud import bigquery
      from google.cloud.bigquery._http import Connection
      from kaggle_gcp import PublicBigqueryClient
  
      def monkeypatch_bq(bq_client, *args, **kwargs):
          data_proxy_project = os.getenv("KAGGLE_DATA_PROXY_PROJECT")
          specified_project = kwargs.get('project')
          specified_credentials = kwargs.get('credentials')
          if specified_project is None and specified_credentials is None:
              print("Using Kaggle's public dataset BigQuery integration.")
              return PublicBigqueryClient(*args, **kwargs)
          else:
              return bq_client(*args, **kwargs)
  
      # Monkey patches BigQuery client creation to use proxy or user-connected GCP account.
      # Deprecated in favor of Kaggle.DataProxyClient().
      # TODO: Remove this once uses have migrated to that new interface.
      bq_client = bigquery.Client
      bigquery.Client = lambda *args, **kwargs:  monkeypatch_bq(
          bq_client, *args, **kwargs)
  
new_contents: import os
  
  kaggle_proxy_token = os.getenv("KAGGLE_DATA_PROXY_TOKEN")
  bq_user_jwt = os.getenv("KAGGLE_BQ_USER_JWT")
  if kaggle_proxy_token or bq_user_jwt:
      from google.auth import credentials
      from google.cloud import bigquery
      from google.cloud.bigquery._http import Connection
      # TODO: Update this to the correct kaggle.gcp path once we no longer inject modules
      # from the worker.
      from kaggle_gcp import PublicBigqueryClient
  
      def monkeypatch_bq(bq_client, *args, **kwargs):
          data_proxy_project = os.getenv("KAGGLE_DATA_PROXY_PROJECT")
          specified_project = kwargs.get('project')
          specified_credentials = kwargs.get('credentials')
          if specified_project is None and specified_credentials is None:
              print("Using Kaggle's public dataset BigQuery integration.")
              return PublicBigqueryClient(*args, **kwargs)
          else:
              return bq_client(*args, **kwargs)
  
      # Monkey patches BigQuery client creation to use proxy or user-connected GCP account.
      # Deprecated in favor of Kaggle.DataProxyClient().
      # TODO: Remove this once uses have migrated to that new interface.
      bq_client = bigquery.Client
      bigquery.Client = lambda *args, **kwargs:  monkeypatch_bq(
          bq_client, *args, **kwargs)
  
subject: Add comment about kaggle_gcp module path.