Level-up your Hypothesis tests with CrossHair.
Project description
hypothesis-crosshair
Add the power of solver-based symbolic execution to your Hypothesis tests with CrossHair.
Just
pip install hypothesis-crosshair
and then add a backend="crosshair" setting, like so:
from hypothesis import given, settings, strategies as st
@settings(backend="crosshair")
@given(st.integers())
def test_needs_solver(x):
assert x != 123456789
Docs hopefully coming soon. In the meantime, start a discussion or file an issue.
FAQ
Can I try using crosshair for ALL my hypothesis tests?
Yes! Create or edit your pytest conftest.py file to register a profile like the following:
from hypothesis import settings
settings.register_profile(
"crosshair",
backend="crosshair",
)
And then run pytest using the profile you've defined:
pytest . --hypothesis-profile=crosshair
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for hypothesis_crosshair-0.0.6.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 638b63edc7f5541ddbc79be73cc049fa688c60577df11ca786629966aa758996 |
|
MD5 | 0e6120f343a956e73245c77eadb2badb |
|
BLAKE2b-256 | 8680bdaeea9bc620ab3c5db1ba800c319c09314af36556064c4dd9ff72a94121 |
Close
Hashes for hypothesis_crosshair-0.0.6-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4c3eafd5d8d68e6bd06f368360f43f7368020be9200fa1651c428ceb79819b8e |
|
MD5 | 6014f5fe532fe0bf49528a1b182eba4a |
|
BLAKE2b-256 | 035d629f9823d3f756697a7286aa00493f38ace0f9730a4ea344eb62b2435d75 |