purposely break numpydantic to check for linkml test failure

src/numpydantic/validation/dtype.py

@@ -5,9 +5,7 @@ For literal dtypes intended for use by end-users, see :mod:`numpydantic.dtype`
 """
 
 import sys
-from typing import Any, Union, get_args, get_origin
-
-import numpy as np
+from typing import Any, Union, get_origin
 
 from numpydantic.types import DtypeType
 
@@ -28,29 +26,31 @@ def validate_dtype(dtype: Any, target: DtypeType) -> bool:
     Returns:
         bool: ``True`` if valid, ``False`` otherwise
     """
-    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
+    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
 
 
 def is_union(dtype: DtypeType) -> bool: