A very simple utility to decorate your functions with that shows you how long that function took to run. Zero dependencies, uses only what Python already gives you.

• python >= 3.8 (for TypedDict support)

1. Install this package with pip install ntropy-timer;
2. Import the measure_time function and decorate the function you wish to measure:

from ntropy import measure_time
###

@measure_time
def measure_this_function(*args, **kwargs):
		# do something

3. Then just execute the function and you should see the results in the standard output:

measure_this_function()

# > The function 'measure_this_function' took 12 seconds 389 miliseconds to run.

With the disable_gc flag, you can temporarily disable Python's garbage collector while the decorated function runs. This can be useful for more accurately measuring time specific to that function, tuning outside noise down to a minimum.

If you'd like to see a more standard message, showing even zero values, you can pass in the message_format="complete" parameter. It will go from:

The function 'measure_this_function' took 3 minutes 33 seconds 123 miliseconds to run.

to

The function 'measure_this_function' took 0hr 3min 33sec 123ms to run.

ntropy has no requirements to run, but it has to be developed. Clone this repository and install the dev requirements with

pip install -r dev-requirements.txt

To run tests (after installing dev dependencies):

pytest