refactor some code

Liam-DeVoe · Liam-DeVoe · commit f151eec1e28b · 2025-04-09T13:02:19.000-04:00
diff --git a/hypothesis-python/src/hypothesis/core.py b/hypothesis-python/src/hypothesis/core.py
@@ -1010,16 +1010,18 @@ def run(data):
 
         # self.test_runner can include the execute_example method, or setup/teardown
         # _example, so it's important to get the PRNG and build context in place first.
-        with local_settings(self.settings):
-            with deterministic_PRNG():
-                with BuildContext(data, is_final=is_final) as context:
-                    # providers may throw in per_case_context_fn, and we'd like
-                    # `result` to still be set in these cases.
-                    result = None
-                    with data.provider.per_test_case_context_manager():
-                        # Run the test function once, via the executor hook.
-                        # In most cases this will delegate straight to `run(data)`.
-                        result = self.test_runner(data, run)
+        with (
+            local_settings(self.settings),
+            deterministic_PRNG(),
+            BuildContext(data, is_final=is_final) as context,
+        ):
+            # providers may throw in per_case_context_fn, and we'd like
+            # `result` to still be set in these cases.
+            result = None
+            with data.provider.per_test_case_context_manager():
+                # Run the test function once, via the executor hook.
+                # In most cases this will delegate straight to `run(data)`.
+                result = self.test_runner(data, run)
 
         # If a failure was expected, it should have been raised already, so
         # instead raise an appropriate diagnostic error.
diff --git a/hypothesis-python/src/hypothesis/internal/conjecture/choice.py b/hypothesis-python/src/hypothesis/internal/conjecture/choice.py
@@ -540,10 +540,11 @@ def choice_permitted(choice: ChoiceT, constraints: ChoiceConstraintsT) -> bool:
         constraints = cast(FloatConstraints, constraints)
         if math.isnan(choice):
             return constraints["allow_nan"]
-        return (
-            sign_aware_lte(constraints["min_value"], choice)
-            and sign_aware_lte(choice, constraints["max_value"])
-        ) and not (0 < abs(choice) < constraints["smallest_nonzero_magnitude"])
+        if 0 < abs(choice) < constraints["smallest_nonzero_magnitude"]:
+            return False
+        return sign_aware_lte(constraints["min_value"], choice) and sign_aware_lte(
+            choice, constraints["max_value"]
+        )
     elif isinstance(choice, str):
         constraints = cast(StringConstraints, constraints)
         if len(choice) < constraints["min_size"]:
