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Features that Python should have in the standard library

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There are 5 sub modules:

  • sp.logging
  • sp.testing
  • sp.concurrency
  • sp.dicts
  • sp.disk
  • sp.string


SuperPy's logging system is a simple abstraction from the standard library logging module. It also provides some nice extra functionalities. Here are some examples:

Logging messages

import super_py as sp

log = sp.logging.Logger("info",
    files=["info.log", "combined.log"],

log("This is a simple log!")

This will write the following log line to the terminal, and the files info.log and comnined.log:

[info        ] 2022-10-04 15:53:09            This is a simple log!

where the name and timestamp will be colored in bright_green.

Logging function benchmarks

You can also use the provided decorator to log benchmarks of your functions:

import super_py as sp

log = sp.logging.Logger("benchmark",

def wait(seconds):

for i in range(10):
    wait(i / 10)

This will write the following log lines:

[benchmark   ] 2022-10-04 16:03:39     0.0ms  wait((0.0))
[benchmark   ] 2022-10-04 16:03:39   105.1ms  wait((0.1))
[benchmark   ] 2022-10-04 16:03:39   205.1ms  wait((0.2))
[benchmark   ] 2022-10-04 16:03:40   308.3ms  wait((0.3))
[benchmark   ] 2022-10-04 16:03:40   403.5ms  wait((0.4))
[benchmark   ] 2022-10-04 16:03:40   505.1ms  wait((0.5))
[benchmark   ] 2022-10-04 16:03:41   605.1ms  wait((0.6))
[benchmark   ] 2022-10-04 16:03:42   705.1ms  wait((0.7))
[benchmark   ] 2022-10-04 16:03:43   804.1ms  wait((0.8))
[benchmark   ] 2022-10-04 16:03:43   903.3ms  wait((0.9))

You can use benchmark without calling the decorator, it will still work:

def wait(seconds):

The benchmark decorator takes the following keyword arguments:

  • with_args: list[int]: The list of indices of function arguments which should be logged.
  • with_kwargs: list[str]: The list of keyword argument names of the function which should be logged.

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