How to use raise_hypothesis_usage_error method in hypothesis

Best Python code snippet using hypothesis

_hypothesis_pytestplugin.py

Source:_hypothesis_pytestplugin.py

...161        if not is_hypothesis_test(item.obj):162            # If @given was not applied, check whether other hypothesis163            # decorators were applied, and raise an error if they were.164            # We add this frame of indirection to enable __tracebackhide__.165            def raise_hypothesis_usage_error(msg):166                raise InvalidArgument(msg)167            if getattr(item.obj, "is_hypothesis_strategy_function", False):168                from hypothesis.errors import InvalidArgument169                raise_hypothesis_usage_error(170                    f"{item.nodeid} is a function that returns a Hypothesis strategy, "171                    "but pytest has collected it as a test function.  This is useless "172                    "as the function body will never be executed.  To define a test "173                    "function, use @given instead of @composite."174                )175            message = "Using `@%s` on a test without `@given` is completely pointless."176            for name, attribute in [177                ("example", "hypothesis_explicit_examples"),178                ("seed", "_hypothesis_internal_use_seed"),179                ("settings", "_hypothesis_internal_settings_applied"),180                ("reproduce_example", "_hypothesis_internal_use_reproduce_failure"),181            ]:182                if hasattr(item.obj, attribute):183                    from hypothesis.errors import InvalidArgument184                    raise_hypothesis_usage_error(message % (name,))185            yield186        else:187            from hypothesis import HealthCheck, settings188            from hypothesis.internal.escalation import current_pytest_item189            from hypothesis.internal.healthcheck import fail_health_check190            from hypothesis.reporting import with_reporter191            from hypothesis.statistics import collector, describe_statistics192            # Retrieve the settings for this test from the test object, which193            # is normally a Hypothesis wrapped_test wrapper. If this doesn't194            # work, the test object is probably something weird195            # (e.g a stateful test wrapper), so we skip the function-scoped196            # fixture check.197            settings = getattr(item.obj, "_hypothesis_internal_use_settings", None)198            # Check for suspicious use of function-scoped fixtures, but only...

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