Method log_message

python_package/brainflow/ml_model.py:221–235

write your own log message to BrainFlow logger, use it if you wanna have single logger for your own code and BrainFlow's code :param log_level: log level :type log_file: int :param message: message :type message: str

(cls, log_level: int, message: str)

    @classmethod
    def log_message(cls, log_level: int, message: str) -> None:
        """write your own log message to BrainFlow logger, use it if you wanna have single logger for your own code and BrainFlow's code

        :param log_level: log level
        :type log_file: int
        :param message: message
        :type message: str
        """
        try:
            msg = message.encode()
        except BaseException:
            msg = message
        res = MLModuleDLL.get_instance().log_message_ml_module(log_level, msg)
        if res != BrainFlowExitCodes.STATUS_OK.value:
            raise BrainFlowError('unable to write log message', res)

    @classmethod
    def release_all(cls) -> None: