hypothesis-python
https://github.com/hypothesisworks/hypothesis-python
Python
Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
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- Issues
- Normalize constraint arguments to strategies
- `hypothesis.stateful.consumes(bundle).flatmap` gives `TypeError: BundleConsumer.__init__() got an unexpected keyword argument 'consume'`
- New option to include choice sequence and spans in observability output
- st.lists rejects too much when generating large lists
- Support PEP 794
- Rename `example` to `test case` in many places
- `sets()` has potentially high redraw count from underlying strategies
- performance of run_state_machine_as_test drops drastically as a function of the number of state machine rules
- st.integers() prefers values, closer to min_value for bounded integers on big enough interval
- Opt-out configuration for collecting local constants
- Docs
- Python not yet supported