handle overflow in validation

Author: Zac-HD

hypothesis-python/RELEASE.rst

@@ -0,0 +1,7 @@
+RELEASE_TYPE: patch
+
+Improves input validation for several strategies in our :ref:`pandas extra
+<hypothesis-pandas>`, so that they raise a helpful ``InvalidArgument`` rather
+than ``OverflowError``.
+
+Discovered by our recent :ref:`string generation upgrade <v6.128.0>`.

hypothesis-python/src/hypothesis/extra/pandas/impl.py

@@ -128,7 +128,7 @@ def convert_element(value):
             name = f"draw({prefix}elements)"
             try:
                 return np.array([value], dtype=dtype)[0]
-            except (TypeError, ValueError):
+            except (TypeError, ValueError, OverflowError):
                 raise InvalidArgument(
                     "Cannot convert %s=%r of type %s to dtype %s"
                     % (name, value, type(value).__name__, dtype.str)

hypothesis-python/tests/pandas/test_argument_validation.py

@@ -78,6 +78,7 @@
         marks=pytest.mark.skipif(IntegerDtype, reason="works with integer NA"),
     ),
     e(pdst.indexes, elements=st.text(), dtype=int),
+    e(pdst.indexes, elements=st.just("9" * 30), dtype=int),  # OverflowError handling
     e(pdst.indexes, elements=st.integers(0, 10), dtype=st.sampled_from([int, float])),
     e(pdst.indexes, dtype=int, max_size=0, min_size=1),
     e(pdst.indexes, dtype=int, unique="true"),