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Simple Coverage measurements for Python

Project description

simple-coverage

Very basic coverage tool for educational purposes.

Installation

pip install simple-coverage

Usage

Just import the package and add the @print_coverage decorator above functions you want to inspect.

from simple_coverage.coverage import coverage

@print_coverage
def demo(x, y) -> int:
    """
    Demo function
    """
	product = x * y 
	if product < 10:
		return product * 2
	else: 
	return product

if __name__ == "__main__":
	demo(3,5)

When simply runnning the Python-file, this will create the following output:

Function: demo(3, 5)

CALLED line 9:      product = x * y
CALLED line 10:     if product < 10:
MISSED line 11:         return product * 2
IGNORE line 12:     else:
CALLED line 13:         return product

Instruction coverage: 75.0 %
Branch coverage: 50.0 %

Doctests

If you want to use it with doctests, use the meta wrapper @doctest_wrapper and the log_coverage decorator. This will create a simple-coverage.json file in the current working directory since writing into the console would collide with the doctests.

from simple_coverage.coverage import log_coverage, doctest_wrapper

@doctest_wrapper(log_coverage)
def demo(x,y) -> int:
	...

Look at the demo.py file for reference. To start the doctest use pytest as usual.

pytest --doctest-modules demo.py

Afterwards you can create the report:

python3 -m simple_coverage.report

Note that all runs will be saved for the next report. To start over and delete to report run:

python3 -m simple_coverage.clean

Project details


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