artifact_downloader.py [121:154]:
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def log(msg):
    global CURR_TASK
    global TOTAL_TASKS
    elapsed_time = time.time() - START_TIME
    val = time.strftime("%H:%M:%S", time.gmtime(elapsed_time))
    pc = round((CURR_TASK / TOTAL_TASKS) * 100, 1) if TOTAL_TASKS else 0
    print(
        "[%s][INFO] %s/%s %s -  %s"
        % (val, str(CURR_TASK + 1), str(TOTAL_TASKS), pc, msg)
    )


def warning(msg):
    global CURR_TASK
    global TOTAL_TASKS
    elapsed_time = time.time() - start_time
    val = time.strftime("%H:%M:%S", time.gmtime(elapsed_time))
    pc = round((CURR_TASK / TOTAL_TASKS) * 100, 1) if TOTAL_TASKS else 0
    print(
        "[%s][WARNING] %s/%s %s -  %s"
        % (val, str(CURR_TASK + 1), str(TOTAL_TASKS), pc, msg)
    )


def get_json(url, params=None):
    if params is not None:
        url += "?" + urlencode(params)

    r = urlopen(url).read().decode("utf-8")

    return json.loads(r)


def get_task_details(task_id):
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variance-analysis/mach_perftest_notebook_dev/perftestnotebook/artifact_downloader.py [106:139]:
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def log(msg):
    global CURR_TASK
    global TOTAL_TASKS
    elapsed_time = time.time() - START_TIME
    val = time.strftime("%H:%M:%S", time.gmtime(elapsed_time))
    pc = round((CURR_TASK / TOTAL_TASKS) * 100, 1) if TOTAL_TASKS else 0
    print(
        "[%s][INFO] %s/%s %s -  %s"
        % (val, str(CURR_TASK + 1), str(TOTAL_TASKS), pc, msg)
    )


def warning(msg):
    global CURR_TASK
    global TOTAL_TASKS
    elapsed_time = time.time() - start_time
    val = time.strftime("%H:%M:%S", time.gmtime(elapsed_time))
    pc = round((CURR_TASK / TOTAL_TASKS) * 100, 1) if TOTAL_TASKS else 0
    print(
        "[%s][WARNING] %s/%s %s -  %s"
        % (val, str(CURR_TASK + 1), str(TOTAL_TASKS), pc, msg)
    )


def get_json(url, params=None):
    if params is not None:
        url += "?" + urlencode(params)

    r = urlopen(url).read().decode("utf-8")

    return json.loads(r)


def get_task_details(task_id):
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