changelog

docs/changelog.md

@@ -8,13 +8,20 @@
     An additional check was added for presence of `__name__` when embedding.
   - `NDArray` types were incorrectly cached s.t. pipe-union dtypes were considered equivalent to `Union[]`
     dtypes. An additional tuple with the type of the args was added to the cache key to disambiguate them.
+- [#38](https://github.com/p2p-ld/numpydantic/issues/38), [#40](https://github.com/p2p-ld/numpydantic/pull/40) - 
+  - Tuple dtypes were naively checked by just testing for whether the given dtype was contained by the tuple,
+    ignoring special cases like string type checking. Tuple dtypes are now checked recursively with the same
+    logic as all other type checking.
+  - Zarr treats `dtype=str` as numpy type `O` - added special case when validating from JSON to cast to `np.str_`
 
 **Testing**
 - [#39](https://github.com/p2p-ld/numpydantic/pull/39) - Test that all combinations of shapes, dtypes, and interfaces
   can generate JSON schema.
 - [#39](https://github.com/p2p-ld/numpydantic/pull/39) - Add python 3.13 to the testing matrix.
 - [#39](https://github.com/p2p-ld/numpydantic/pull/39) - Add an additional `marks` field to ValidationCase
   for finer-grained control over running tests.
+- [#40](https://github.com/p2p-ld/numpydantic/pull/40) - Explicitly test for `np.str_` annotation dtypes alone and 
+  in tuples.
 
 ## 1.*