unbreak numpydantic

src/numpydantic/validation/dtype.py

@@ -5,7 +5,9 @@ For literal dtypes intended for use by end-users, see :mod:`numpydantic.dtype`
 """
 
 import sys
-from typing import Any, Union, get_origin
+from typing import Any, Union, get_args, get_origin
+
+import numpy as np
 
 from numpydantic.types import DtypeType
 
@@ -26,31 +28,29 @@ def validate_dtype(dtype: Any, target: DtypeType) -> bool:
     Returns:
         bool: ``True`` if valid, ``False`` otherwise
     """
-    return False
-    #
-    # if target is Any:
-    #     return True
-    #
-    # if isinstance(target, tuple):
-    #     valid = dtype in target
-    # elif is_union(target):
-    #     valid = any(
-    #         [validate_dtype(dtype, target_dt) for target_dt in get_args(target)]
-    #     )
-    # elif target is np.str_:
-    #     valid = getattr(dtype, "type", None) in (np.str_, str) or dtype in (
-    #         np.str_,
-    #         str,
-    #     )
-    # else:
-    #     # try to match as any subclass, if target is a class
-    #     try:
-    #         valid = issubclass(dtype, target)
-    #     except TypeError:
-    #         # expected, if dtype or target is not a class
-    #         valid = dtype == target
-    #
-    # return valid
+    if target is Any:
+        return True
+
+    if isinstance(target, tuple):
+        valid = dtype in target
+    elif is_union(target):
+        valid = any(
+            [validate_dtype(dtype, target_dt) for target_dt in get_args(target)]
+        )
+    elif target is np.str_:
+        valid = getattr(dtype, "type", None) in (np.str_, str) or dtype in (
+            np.str_,
+            str,
+        )
+    else:
+        # try to match as any subclass, if target is a class
+        try:
+            valid = issubclass(dtype, target)
+        except TypeError:
+            # expected, if dtype or target is not a class
+            valid = dtype == target
+
+    return valid
 
 
 def is_union(dtype: DtypeType) -> bool: