messy ass checkpoint before i come back and clean it up

src/numpydantic/interface/hdf5.py

@@ -39,7 +39,6 @@ as ``S32`` isoformatted byte strings (timezones optional) like:
     
 """
 
-import pdb
 import sys
 from datetime import datetime
 from pathlib import Path
@@ -171,7 +170,7 @@ class H5Proxy:
     __pydantic_serializer__ = SchemaSerializer(
         core_schema.plain_serializer_function_ser_schema(
             to_json, when_used="json", info_arg=True
-        )
+        ),
     )
 
     def __init__(
@@ -218,17 +217,18 @@ class H5Proxy:
             return obj[:]
 
     def __getattr__(self, item: str):
-        if item not in ("shape", "__pydantic_validator__"):
-            pdb.set_trace()
         if item == "__name__":
             # special case for H5Proxies that don't refer to a real file during testing
             return "H5Proxy"
         elif item.startswith("__"):
             return object.__getattribute__(self, item)
-        with h5py.File(self.file, "r") as h5f:
+        try:
-            obj = h5f.get(self.path)
+            with h5py.File(self.file, "r") as h5f:
-            val = getattr(obj, item)
+                obj = h5f.get(self.path)
-            return val
+                val = getattr(obj, item)
+                return val
+        except AttributeError:
+            return object.__getattribute__(self, item)
 
     def __getitem__(
         self, item: Union[int, slice, Tuple[Union[int, slice], ...]]
@@ -303,7 +303,8 @@ class H5Proxy:
         if isinstance(other, H5Proxy):
             return self._h5arraypath == other._h5arraypath
         else:
-            raise ValueError("Can only compare equality of two H5Proxies")
+            return False
+            # raise ValueError("Can only compare equality of two H5Proxies")
 
     def open(self, mode: str = "r") -> "h5py.Dataset":
         """

src/numpydantic/ndarray.py

@@ -13,6 +13,7 @@ Extension of nptyping NDArray for pydantic that allows for JSON-Schema serializa
 
 """
 
+import pdb
 from typing import TYPE_CHECKING, Any, Literal, Tuple, get_origin
 
 import numpy as np
@@ -201,6 +202,7 @@ class NDArray(NPTypingType, metaclass=NDArrayMeta):
         cls, schema: core_schema.CoreSchema, handler: GetJsonSchemaHandler
     ) -> core_schema.JsonSchema:
         shape, dtype = cls.__args__
+        pdb.set_trace()
         json_schema = handler(schema["metadata"])
         json_schema = handler.resolve_ref_schema(json_schema)
 

src/numpydantic/serialization.py

@@ -16,6 +16,8 @@ U = TypeVar("U")
 
 def jsonize_array(value: Any, info: SerializationInfo) -> Union[list, dict]:
     """Use an interface class to render an array as JSON"""
+    # return [1, 2, 3]
+    # pdb.set_trace()
     interface_cls = Interface.match_output(value)
     array = interface_cls.to_json(value, info)
     array = postprocess_json(array, info)