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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _run_query(client, query, job_config=None):
 """Runs a query while printing status updates Args: client (google.cloud.bigquery.client.Client):
 Client to bundle configuration needed for API requests. query (str):
 SQL query to be executed. Defaults to the standard SQL dialect. Use the ``job_config`` parameter to change dialects. job_config (google.cloud.bigquery.job.QueryJobConfig, optional):
 Extra configuration options for the job. Returns: google.cloud.bigquery.job.QueryJob: the query job created Example: Executing query with job ID: bf633912-af2c-4780-b568-5d868058632b Query executing: 1.66s Query complete after 2.07s 'bf633912-af2c-4780-b568-5d868058632b' """

    start_time = time.time()
    query_job = client.query(query, job_config=job_config)
    print("Executing query with job ID: {}".format(query_job.job_id))

    while True:
        print("\rQuery executing: {:0.2f}s".format(time.time() - start_time), end="")
        try:
            query_job.result(timeout=0.5)
            break
        except futures.TimeoutError:
            continue
    print("\nQuery complete after {:0.2f}s".format(time.time() - start_time))
    return query_job