stouputils.decorators module

This module provides decorators for various purposes:

  • silent(): Make a function silent (disable stdout, and stderr if specified) (alternative to stouputils.ctx.Muffle)

  • measure_time(): Measure the execution time of a function and print it with the given print function

  • handle_error(): Handle an error with different log levels

  • simple_cache(): Easy cache function with parameter caching method

  • deprecated(): Mark a function as deprecated

stouputils decorators examples stouputils decorators examples
silent(func: Callable[[...], Any], mute_stderr: bool = False) → Callable[[...], Any][source]

Decorator that makes a function silent (disable stdout, and stderr if specified).

Alternative to stouputils.ctx.Muffle.

Parameters:

  • func (Callable[..., Any]) – Function to make silent

  • mute_stderr (bool) – Whether to mute stderr or not

Examples

>>> @silent
... def test():
...     print("Hello, world!")
>>> test()

>>> silent(print)("Hello, world!")
measure_time(print_func: ~typing.Callable[[...], None] = <function debug>, message: str = '', perf_counter: bool = True) → Callable[[...], Any][source]

Decorator that will measure the execution time of a function and print it with the given print function

Parameters:

  • print_func (Callable) – Function to use to print the execution time (e.g. debug, info, warning, error, etc.)

  • message (str) – Message to display with the execution time (e.g. “Execution time of Something”), defaults to “Execution time of {func.__name__}”

  • perf_counter (bool) – Whether to use time.perf_counter_ns or time.time_ns

Returns:

Decorator to measure the time of the function.

Return type:

Callable

Examples

> @measure_time(info)
> def test():
>     pass
> test()  # [INFO HH:MM:SS] Execution time of test: 0.000ms (400ns)
class LogLevels(value)[source]

Bases: Enum

Log level for the errors in the decorator handle_error()

NONE = 0

Do nothing

WARNING = 1

Show as warning

WARNING_TRACEBACK = 2

Show as warning with traceback

ERROR_TRACEBACK = 3

Show as error with traceback

RAISE_EXCEPTION = 4

Raise exception

force_raise_exception: bool = False

If true, the error_log parameter will be set to RAISE_EXCEPTION for every next handle_error calls, useful for doctests

handle_error(exceptions: tuple[type[BaseException], ...] | type[BaseException] = (<class 'Exception'>,), message: str = '', error_log: ~stouputils.decorators.LogLevels = LogLevels.WARNING_TRACEBACK) → Callable[[...], Any][source]

Decorator that handle an error with different log levels.

Parameters:

  • exceptions (tuple[type[BaseException]], ...) – Exceptions to handle

  • message (str) – Message to display with the error. (e.g. “Error during something”)

  • error_log (LogLevels) – Log level for the errors LogLevels.NONE: None LogLevels.WARNING: Show as warning LogLevels.WARNING_TRACEBACK: Show as warning with traceback LogLevels.ERROR_TRACEBACK: Show as error with traceback LogLevels.RAISE_EXCEPTION: Raise exception (as if the decorator didn’t exist)

Examples

> @handle_error(error_log=LogLevels.WARNING)
> def test():
>     raise ValueError("Let's fail")
> test()        # [WARNING HH:MM:SS] Error during test: (ValueError) Let's fail
simple_cache(method: Literal['str', 'pickle'] = 'str') → Callable[[...], Callable[[...], Any]][source]

Decorator that caches the result of a function based on its arguments.

The str method is often faster than the pickle method (by a little).

Parameters:

method (Literal["str", "pickle"]) – The method to use for caching.

Returns:

A decorator that caches the result of a function.

Return type:

Callable[…, Callable[…, Any]]

Examples

>>> @simple_cache(method="str")
... def test(a: int, b: int) -> int:
...     return a + b
>>> test(1, 2)  # 3
3
>>> test(1, 2)  # 3
3
>>> test(3, 4)  # 7
7
deprecated(message: str = '', error_log: LogLevels = LogLevels.WARNING) → Callable[[...], Any][source]

Decorator that marks a function as deprecated.

Parameters:

  • message (str) – Additional message to display with the deprecation warning

  • error_log (LogLevels) – Log level for the deprecation warning LogLevels.NONE: None LogLevels.WARNING: Show as warning LogLevels.WARNING_TRACEBACK: Show as warning with traceback LogLevels.ERROR_TRACEBACK: Show as error with traceback LogLevels.RAISE_EXCEPTION: Raise exception

Returns:

Decorator that marks a function as deprecated

Return type:

Callable[…, Any]

Examples

> @deprecated(message="Use 'this_function()' instead", error_log=LogLevels.WARNING)
> def test():
>     pass
> test()        # [WARNING HH:MM:SS] Function 'test()' is deprecated. Use 'this_function()' instead