v1.2.1 - fix dtypeerror inheritance

docs/changelog.md

@@ -2,6 +2,13 @@
 
 ## 1.*
 
+### 1.2.1 - 24-06-27
+
+Fix a minor bug where {class}`~numpydantic.exceptions.DtypeError` would not cause
+pydantic to throw a {class}`pydantic.ValidationError` because custom validator functions
+need to raise either `AssertionError` or `ValueError` - made `DtypeError` also
+inherit from `ValueError` because that is also technically true.
+
 ### 1.2.0 - 24-06-13 - Shape ranges
 
 - Add ability to specify shapes as ranges - see [shape ranges](shape-ranges)

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "numpydantic"
-version = "1.2.0"
+version = "1.2.1"
 description = "Type and shape validation and serialization for numpy arrays in pydantic models"
 authors = [
     {name = "sneakers-the-rat", email = "sneakers-the-rat@protonmail.com"},

tests/test_ndarray.py

@@ -33,7 +33,7 @@ def test_ndarray_type():
     with pytest.raises(ValidationError):
         instance = Model(array=np.zeros((4, 6)))
 
-    with pytest.raises(DtypeError):
+    with pytest.raises(ValidationError):
         instance = Model(array=np.ones((2, 3), dtype=bool))
 
     instance = Model(array=np.zeros((2, 3)), array_any=np.ones((3, 4, 5)))
@@ -112,7 +112,7 @@ def test_ndarray_coercion():
 
     amod = Model(array=[1, 2, 3, 4.5])
     assert np.allclose(amod.array, np.array([1, 2, 3, 4.5]))
-    with pytest.raises(DtypeError):
+    with pytest.raises(ValidationError):
         amod = Model(array=["a", "b", "c"])