def METHOD_NAME(cls):
    sys.meta_path.insert(0, ForbiddenModules({"intel_extension_for_pytorch"}))
    if not os.path.exists(cls.pb_path):
        if cls.platforms == "linux":
            os.system("mkdir -p /tmp/.neural_compressor && wget {} -O {} ".format(cls.mb_model_url, cls.pb_path))
        elif cls.platforms == "windows":
            os.system("md C:\\tmp\.neural_compressor && cd C:\\tmp\.neural_compressor")
            from urllib import request
            request.urlretrieve(cls.mb_model_url)
    cls.log_env = os.environ.get("LOGLEVEL")
    cls.logger_root = logging.getLogger()
    cls.logger_nc = logging.getLogger("neural_compressor")
    cls.logger_root.setLevel(logging.CRITICAL)
    cls.logger_nc.setLevel(logging.DEBUG)
    cls.logger_root_level = cls.logger_root.level
    cls.logger_nc.warning(f"CPU: {cpuinfo.get_cpu_info()['brand_raw']}")
    cls.logger_nc.warning(f"Environment variable: LOGLEVEL = {cls.log_env}")
    cls.logger_nc.warning(
        f"Before importing neural_compressor: {sys.modules[__name__].__file__}-{cls.__name__}, "
        f"Root_Logger_Level = {cls.logger_root.level}"
    )
    cls.logger_nc.warning(
        f"Before importing neural_compressor: {sys.modules[__name__].__file__}-{cls.__name__}, "
        f"NC_Logger_Level = {cls.logger_nc.level}"
    )
    import neural_compressor
    from neural_compressor.adaptor.tensorflow import TensorflowQuery
    cls.op_wise_sequences = TensorflowQuery(
        local_config_file=os.path.join(os.path.dirname(neural_compressor.__file__), "adaptor/tensorflow.yaml")
    ).get_eightbit_patterns()
    cls.logger_nc.warning(
        f"After importing neural_compressor: {sys.modules[__name__].__file__}-{cls.__name__}, "
        f"Root_Logger_Level = {cls.logger_root.level}"
    )
    cls.logger_nc.warning(
        f"After importing neural_compressor: {sys.modules[__name__].__file__}-{cls.__name__}, "
        f"NC_Logger_Level = {cls.logger_nc.level}"
    )