Comments (1)
I'm concerned that this proposed API will be difficult to use correctly. Could you solve your problem by storing entire trees in the bundle, instead of keys, and returning a new tree?
I think it's already technically feasible to store the list of live node keys as an instance variable, draw keys from a sampled_from()
defined inside your test method, and modify the list before continuing. Definitely less elegant, though.
from hypothesis.
Related Issues (20)
- Question: specifying conditional assumption during generation with chaining multiple strategies HOT 1
- Untyped decorator makes function untyped for strategies.composite decorator HOT 2
- Generating test data without using @given decorator HOT 3
- `builds` fails when used with `attrs` classes containing private attributes HOT 1
- [email protected]: `AttributeError: 'list' object has no attribute 'result'` HOT 2
- Filter-rewriting 2: rewrite harder
- `hypothesis[django]`: CharField causes strange assertion issue HOT 3
- `from_type` on `typing.Protocol` without methods HOT 1
- Hypothesis 6.91.0 makes pytest crashing HOT 2
- Add `alphabet=` argument to `from_lark()` strategy
- Warn if strategies depend on the `random` module without using `st.random_module()` HOT 3
- how to filter invalid result from the target efficiently? HOT 5
- `TypeError` when drawing from a strategy that produces `dataclasses` with a `defaultdict` attribute HOT 2
- how to make hypothesis stateful test to run enough steps in one example? HOT 1
- Warn when passing *strategies* as elements to `sampled_from` (rather than to `one_of`)?
- Add the ability to opt out of (into?) coverage reporting when collecting observability data HOT 3
- Hypothesis error reporting triggering internal error in inspect module
- Function name is reported as `_bootstrap_fixtures_and_run_test` in verbose reporting HOT 2
- how to shrink effectively with hypothesis stateful testing? HOT 1
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from hypothesis.