item = <Function test_snapshot_large> @pytest.hookimpl(hookwrapper=True) def pytest_runtest_call(item): if not hasattr(item, "obj"): yield elif not is_hypothesis_test(item.obj): # If @given was not applied, check whether other hypothesis # decorators were applied, and raise an error if they were. if getattr(item.obj, "is_hypothesis_strategy_function", False): raise InvalidArgument( "%s is a function that returns a Hypothesis strategy, but pytest " "has collected it as a test function. This is useless as the " "function body will never be executed. To define a test " "function, use @given instead of @composite." % (item.nodeid,) ) message = "Using `@%s` on a test without `@given` is completely pointless." for name, attribute in [ ("example", "hypothesis_explicit_examples"), ("seed", "_hypothesis_internal_use_seed"), ("settings", "_hypothesis_internal_settings_applied"), ("reproduce_example", "_hypothesis_internal_use_reproduce_failure"), ]: if hasattr(item.obj, attribute): raise InvalidArgument(message % (name,)) yield else: # Retrieve the settings for this test from the test object, which # is normally a Hypothesis wrapped_test wrapper. If this doesn't # work, the test object is probably something weird # (e.g a stateful test wrapper), so we skip the function-scoped # fixture check. settings = getattr(item.obj, "_hypothesis_internal_use_settings", None) # Check for suspicious use of function-scoped fixtures, but only # if the corresponding health check is not suppressed. if ( settings is not None and HealthCheck.function_scoped_fixture not in settings.suppress_health_check ): # Warn about function-scoped fixtures, excluding autouse fixtures because # the advice is probably not actionable and the status quo seems OK... # See https://github.com/HypothesisWorks/hypothesis/issues/377 for detail. msg = ( "%s uses the %r fixture, which is reset between function calls but not " "between test cases generated by `@given(...)`. You can change it to " "a module- or session-scoped fixture if it is safe to reuse; if not " "we recommend using a context manager inside your test function. See " "https://docs.pytest.org/en/latest/fixture.html#sharing-test-data " "for details on fixture scope." ) argnames = None for fx_defs in item._request._fixturemanager.getfixtureinfo( node=item, func=item.function, cls=None ).name2fixturedefs.values(): if argnames is None: argnames = frozenset(signature(item.function).parameters) for fx in fx_defs: if fx.argname in argnames: active_fx = item._request._get_active_fixturedef(fx.argname) if active_fx.scope == "function": fail_health_check( settings, msg % (item.nodeid, fx.argname), > HealthCheck.function_scoped_fixture, ) E hypothesis.errors.FailedHealthCheck: .tox/py3/lib/python3.7/site-packages/swh/storage/tests/algos/test_snapshot.py::test_snapshot_large uses the 'swh_storage' fixture, which is reset between function calls but not between test cases generated by `@given(...)`. You can change it to a module- or session-scoped fixture if it is safe to reuse; if not we recommend using a context manager inside your test function. See https://docs.pytest.org/en/latest/fixture.html#sharing-test-data for details on fixture scope. E See https://hypothesis.readthedocs.io/en/latest/healthchecks.html for more information about this. If you want to disable just this health check, add HealthCheck.function_scoped_fixture to the suppress_health_check settings for this test. .tox/py3/lib/python3.7/site-packages/hypothesis/extra/pytestplugin.py:188: FailedHealthCheck