o e~ @sRdZddlZddlZddlZddlZddlmZiZe ddej fddZ dS)zh This code is refer from: https://github.com/WenmuZhou/PytorchOCR/blob/master/torchocr/utils/logging.py NZppocrc Cst|}|tvr |StD] }||r|Sq tjddd}tjtjd}||| ||durZt dkrZt j |d}t j|ddt|d }||| |t dkrf||n|tjdt|<d |_|S) aInitialize and get a logger by name. If the logger has not been initialized, this method will initialize the logger by adding one or two handlers, otherwise the initialized logger will be directly returned. During initialization, a StreamHandler will always be added. If `log_file` is specified a FileHandler will also be added. Args: name (str): Logger name. log_file (str | None): The log filename. If specified, a FileHandler will be added to the logger. log_level (int): The logger level. Note that only the process of rank 0 is affected, and other processes will set the level to "Error" thus be silent most of the time. Returns: logging.Logger: The expected logger. z1[%(asctime)s] %(name)s %(levelname)s: %(message)sz%Y/%m/%d %H:%M:%S)datefmt)streamNrT)exist_okaF)logging getLoggerlogger_initialized startswith Formatter StreamHandlersysstdout setFormatter addHandlerdistZget_rankospathsplitmakedirs FileHandlersetLevelERROR propagate) nameZlog_file log_levelloggerZ logger_name formatterZstream_handlerZlog_file_folder file_handlerrMD:\Projects\ConvertPro\env\Lib\site-packages\paddleocr/ppocr/utils/logging.py get_loggers4          r ) __doc__rr r functoolsZpaddle.distributed distributedrr lru_cacheDEBUGr rrrrs