neurotorchmz.core.logs#

Utilities for logging in Neurotorch

Module Attributes

`logger`	The root logger for NeurotorchMZ.
`debugging`	If set to true, logs of level DEBUG are printed to the console
`stream_logging_handler`	The default logging handler to the user console
`file_logging_handler`	The default file logging handler
`logged_std_out`	io.TextIOBase object used to catch stream output for the logger

Functions

`init_file_handler`(path)	Should be called from the settings handler when the AppData Path is set to initialize the file handler for logging
`log_exceptions_hook`(exc_type, exc_value[, ...])
`start_debugging`()	Starts the debugging of not started yet
`thread_exceptions_hook`(except_hook_args)

Classes

class neurotorchmz.core.logs.StdOutCatcher#

Bases: IOBase

flush()#

Flush write buffers, if applicable.

This is not implemented for read-only and non-blocking streams.

writable() → bool#

Return whether object was opened for writing.

If False, write() will raise OSError.

neurotorchmz.core.logs.debugging: bool = False#: If set to true, logs of level DEBUG are printed to the console

neurotorchmz.core.logs.file_logging_handler: RotatingFileHandler = <RotatingFileHandler /home/runner/.local/share/NeurotorchMZ/logs.txt (DEBUG)>#: The default file logging handler

neurotorchmz.core.logs.init_file_handler(path: Path) → None#: Should be called from the settings handler when the AppData Path is set to initialize the file handler for logging

neurotorchmz.core.logs.log_exceptions_hook(exc_type: type[BaseException], exc_value: BaseException, exc_traceback: TracebackType | None = None) → None#

neurotorchmz.core.logs.logged_std_out = <neurotorchmz.core.logs.StdOutCatcher object>#: io.TextIOBase object used to catch stream output for the logger

neurotorchmz.core.logs.logger = <Logger NeurotorchMZ (DEBUG)>#: The root logger for NeurotorchMZ. The level defaults to DEBUG to allow derived Handlers (e.g. StreamHandler, RotatingFileHandler) to set custom (higher) levels

neurotorchmz.core.logs.start_debugging()#: Starts the debugging of not started yet

neurotorchmz.core.logs.stream_logging_handler = <StreamHandler <stdout> (ERROR)>#: The default logging handler to the user console

neurotorchmz.core.logs.thread_exceptions_hook(except_hook_args: _ExceptHookArgs)#

neurotorchmz.core.logs