A tool for making coverage and edge cases seeking easier.
Project description
Guess Testing
Welcome to Guess Testing!
Ain't nobody got the time to write unit tests! But... everybody wants a 100% coverage! If you're not a QA person (or even if you do), this here solution is just PERFECT for you!
Test your code with Guess Testing! No more hard work searching for edge cases, possible exceptions, or immunity to weird inputs. Save your strength and let the CPU do the hard work.
Getting Started
First off clone this project, it is written for Python 3.8, but due to its basic requirements can work on many other versions.
Prerequisites
No additional packages are required for using Guess Testing, but for a pretty progress bar, rich
is required.
pip install rich
Installing
You can install Guess Testing using PyPI!
pip install guess-testing
That's it!
Usage
Guess Testing is package that can be imported and used for many reasons, such as:
- Finding the smallest set of parameters for getting a full coverage of a scope.
- Finding the possible exceptions the code can throw and from where, and which arguments cause these behaviors.
- Finding all the possible return values of a function, and which arguments cause them.
- Any form of stress testing, analysing an unknown code, and many, many more cases.
- Supports coverage checking for instructions as well, and not only line numbers, meaning
1 if False else 0
will be shown as not covered.
As a python package, it is importable, like so:
import guess_testing
Guess Testing offers two main features that can be used separately, guessing and generators:
- Guessing - The ability to guess values for a function until specific requirements are met.
- Generators - The ability to generate values using explicitly constructed generators (many generators are
available), or using the factory and retrieving a generators that correlates to the type annotation specified, or a
function, supports
typing
module type specifications.
Test Run
Guessing
Let's see an example of how Guess Testing can be of benefit:
import typing
from guess_testing.guess import Guesser, StopConditions
def e(a: typing.List[int]) -> str:
if len(a) == 0:
return 'no enough'
if len(a) == 1:
return 'still not enough'
if a[0] == a[1]:
return 'wow!'
if a[0] % a[1] == 0:
return 'great!!'
if a[0] % a[1] == 1:
return 'amazing!!!'
return 'boo...'
guesser = Guesser(e)
guesser.guess(stop_conditions=StopConditions.FULL_COVERAGE, suppress_exceptions=ZeroDivisionError, pretty=True)
print(guesser.coverage)
print(guesser.exceptions)
print(guesser.return_values)
Now all that's left is running the code, let's see it in action!
The code in this example run can be found in Example E.
More examples are available here.
Now how about checking a code that cannot be really covered (from Example H)?
from guess_testing.guess import Guesser
def h(a: int) -> str:
return 'a' if a == 666 else 'b'
guesser = Guesser(h, trace_opcodes=False)
guesser.guess(call_limit=10000)
print(f'Attempts: {guesser.attempts_number}, coverage: {guesser.coverage["coverage"]}.')
guesser = Guesser(h, trace_opcodes=True)
guesser.guess(call_limit=10000)
print(f'Attempts: {guesser.attempts_number}, coverage: {guesser.coverage["coverage"]}.')
And here is the output:
Attempts: 1, coverage: 100.0.
Attempts: 10000, coverage: 77.77777777777777.
Generators
Let's review two more examples using the generators' ability (taken from Example F):
import typing
from guess_testing.generators import TypingGeneratorFactory
def e(a: typing.List[int]) -> str:
pass
generators = TypingGeneratorFactory.get_generators(e)
print(generators)
for _ in range(10):
print(generators['a']())
Now the result:
{'a': List[int]}
[39784, 47413, 20590, 47366, -47725, 60081, 41957]
[35520, 54323]
[47232, -18372]
[-28274, 30664, -65376, 41264, -25118, 1267, -46631, 15847, 64907, 14002, -26615, 37780]
[]
[26879, -9958, 12824]
[-32159, -23371, -46221, 40098, 42298, 60795]
[-8062, 64305, -14024, 46788]
[-62397, 12193, -48413, -45434, -56422, -45250, 24665, 37593, -4881, -40823, 48727, 43525]
[18760, -36428, -34772, -41072, 50803, 54740, -25575, 1038, 57881, -10428, -4403, 738, -6967, -48162, 19645]
Here's another one, a bit more extreme (Example G):
from guess_testing.generators import AnyGenerator
for _ in range(5):
a = AnyGenerator()
print(a)
print(a())
The output:
Any[str]
\`^-e* s"
Any[Set[bytes]]
{b">)nL2F!>Kwqm[#Ea'", b'}miy,z/s5%b.K!S}+%HIGE;', b'x+Xl}%]', b')Tv6*4!0bOiWTX \t@s5~th', b'\tng`cwihx }]AOG^+B+]aI%^<N'}
Any[range]
range(-106, 146, 3)
Any[Dict[range, Set[Tuple[bytes, Tuple[float, range, bytes, float, int, str, str, int], Optional[int], str, int, int, str, Optional[str], float, Union[bytes, float]]]]]
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Any[float]
-63836.00431433
Technologies and Capabilities
- Guess Testing is written in Python 3.8.
- Does not require any additional packages.
- Features a pretty progress bar for enhanced satisfaction.
- Very lightweight.
- Flexible guessing stop conditions, like full coverage (by lines and instructions), an exception is thrown, certain time has passed, call count limit is reached...
- Allows getting information by coverage, return values, and exceptions.
- Easily extendable.
- Contains a string representation for the generators that fits
typing
and the builtin python types. - What more can I say? It's small, standalone, and can actually be of use.
Documentation
The code is documented using Google Python Style Guide format.
I hope that it can answer whichever questions that may arise.
Contributing
Feel free to contact me if you have any comments, questions, ideas, and anything else you think I should be aware of. Also, tell me what legendary matches have been played with Chess, or how playing against Stockfish improved your strategy, I'd love to know.
This project is licensed under the terms of the MIT license.
Authors
Acknowledgments
-
I would like to thank my wife - Tohar Harpeness, my son - Amittai Harpeness, my parents, my computer, and my free time, for enabling me to work on this small project, it has been fun.
-
I thank Typing for their simple and versatile usage, and for being easily parsed.
-
I thank my previous experiences trying to debug a code that isn't mine and getting to all of its cases to better understand it, and not being able to do so easily. Which gave me the idea for this nice package to help others like me.
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