Merge pull request #765 from mit-ll-responsible-ai/release

Release notes for v0.14

docs/source/changes.rst

@@ -8,16 +8,22 @@ Changelog
 This is a record of all past hydra-zen releases and what went into them, in reverse 
 chronological order. All previous releases should still be available on pip.
 
-.. _v0.13.0:
+.. _v0.14.0:
 
 ----------------------
-0.13.1rc1 - 2024-07-13
+0.14.0rc1 - 2025-01-02
 ----------------------
 
 .. note:: This is documentation for an pre-release version of hydra-zen. You can install this pre-release via `pip install --pre hydra-zen`
 
+- Drops support for Python 3.8
+- Adds support for Python 3.13
+- Minimum supported version of omegaconf is increased from 2.2.1 to 2.2.3
 - Adds compatibility with NumPy 2.0.0.
+- Adds compatibility with jax 0.4.32+
 - :func:`~hydra_zen.builds` and `~hydra_zen.just` now support classes defined within classes as targets. See :pull:`708`.
+- The `hydrated_dataclass` decorator now respects the docstring of the class that it decorates. See :issue:`750`.
+- Fixes a bug where `pydantic_parser` cannot be passed a `pydantic.BaseModel` as a target. See :issue:`723`.
 
 .. _v0.13.0:
 

src/hydra_zen/structured_configs/_implementations.py

@@ -525,7 +525,8 @@ def wrapper(decorated_obj: Any) -> Any:
             },
             zen_convert=zen_convert,
         )
-
+        if decorated_obj.__doc__ is not None:  # pragma: no cover
+            out.__doc__ = decorated_obj.__doc__
         return out
 
     return wrapper

src/hydra_zen/third_party/pydantic.py

@@ -108,10 +108,14 @@ def f(x: PositiveInt): return x
     (1, 2, 3)
     """
     if inspect.isbuiltin(target):
-        return target
+        return cast(_T, target)
+
+    if isinstance(target, type) and issubclass(target, _pyd.BaseModel):
+        # this already applies pydantic parsing
+        return cast(_T, target)
 
     if not (_get_signature(target)):
-        return target
+        return cast(_T, target)
 
     if inspect.isclass(target):
         return cast(_T, parser(_constructor_as_fn(target)))

tests/test_third_party/test_using_all_pydantic.py

@@ -9,7 +9,7 @@
 import pydantic
 import pytest
 from hydra.errors import InstantiationException
-from pydantic import PositiveInt
+from pydantic import BaseModel, PositiveInt
 
 from hydra_zen import BuildsFn, instantiate, zen
 from hydra_zen.third_party.pydantic import pydantic_parser
@@ -108,6 +108,10 @@ class ADataClass:
     zaa: bool
 
 
+class PydanticModel(BaseModel):
+    xoo: int
+
+
 @pytest.mark.parametrize(
     "obj",
     [
@@ -124,6 +128,7 @@ class ADataClass:
         p(ADataClass, yee="yee", zaa=True),
         p(len, [1, 2, 3]),  # func, no signature
         p(dict, a=1, b=2),  # class, no signature
+        p(PydanticModel, xoo=1),
     ],
 )
 @pytest.mark.parametrize("use_meta_feature", [True, False])