def parse_accept_lang_header(lang_string):
    result = []
    pieces = accept_language_re.split(lang_string)
    if pieces[-1]:
        return []
    for i in range(0, len(pieces) - 1, 3):
        first, lang, priority = pieces[i : i + 3]
        if first:
            return []
        priority = priority and float(priority) or 1.0
        result.append((lang, priority))
    result.sort(lambda x, y: -cmp(x[1], y[1]))
    return result
Make a string with our fio job file.
dataset/ETHPy150Open AppScale/appscale/AppServer/lib/django-0.96/django/utils/translation/trans_real.py/parse_accept_lang_header--crossover with--dataset/ETHPy150Open GoogleCloudPlatform/PerfKitBenchmarker/perfkitbenchmarker/linux_benchmarks/fio_benchmark.py/GenerateJobFileString