From df15d666cf5510959838afe445f661bbbced2ea5 Mon Sep 17 00:00:00 2001
From: sneakers-the-rat <sneakers-the-rat@protonmail.com>
Date: Fri, 18 Oct 2024 20:19:22 -0700
Subject: [PATCH] cleanup

---
 src/numpydantic/interface/hdf5.py | 51 -------------------------------
 tests/test_interface/conftest.py  |  6 ++--
 2 files changed, 3 insertions(+), 54 deletions(-)

diff --git a/src/numpydantic/interface/hdf5.py b/src/numpydantic/interface/hdf5.py
index 3f3195d..b8492b7 100644
--- a/src/numpydantic/interface/hdf5.py
+++ b/src/numpydantic/interface/hdf5.py
@@ -99,51 +99,6 @@ class H5JsonDict(JsonDict):
         )
 
 
-# def to_json(self, info: SerializationInfo):
-#     """
-#     Serialize H5Proxy to JSON, as the interface does,
-#     in cases when the interface is not able to be used
-#     (eg. like when used as an `extra` field in a model without a type annotation)
-#     """
-#     from numpydantic.serialization import postprocess_json
-#
-#     if info.round_trip:
-#         as_json = {
-#             "type": H5Interface.name,
-#         }
-#         as_json.update(self._h5arraypath._asdict())
-#     else:
-#         try:
-#             dset = self.open()
-#             as_json = dset[:].tolist()
-#         finally:
-#             self.close()
-#     return postprocess_json(as_json, info)
-
-
-# def _make_pydantic_schema():
-#     return core_schema.typed_dict_schema(
-#         {
-#             "file": core_schema.typed_dict_field(
-#                 core_schema.str_schema(), required=True
-#             ),
-#             "path": core_schema.typed_dict_field(
-#                 core_schema.str_schema(), required=True
-#             ),
-#             "field": core_schema.typed_dict_field(
-#                 core_schema.union_schema(
-#                     [
-#                         core_schema.str_schema(),
-#                         core_schema.list_schema(core_schema.str_schema()),
-#                     ],
-#                 ),
-#                 required=True,
-#             ),
-#         },
-#         # serialization=
-#     )
-
-
 class H5Proxy:
     """
     Proxy class to mimic numpy-like array behavior with an HDF5 array
@@ -166,12 +121,6 @@ class H5Proxy:
         annotation_dtype (dtype): Optional - the dtype of our type annotation
     """
 
-    # __pydantic_serializer__ = SchemaSerializer(
-    #     core_schema.plain_serializer_function_ser_schema(
-    #         jsonize_array, when_used="json", info_arg=True
-    #     ),
-    # )
-
     def __init__(
         self,
         file: Union[Path, str],
diff --git a/tests/test_interface/conftest.py b/tests/test_interface/conftest.py
index 3e667bf..d4ef888 100644
--- a/tests/test_interface/conftest.py
+++ b/tests/test_interface/conftest.py
@@ -148,7 +148,7 @@ def dtype_by_interface(request):
 
 
 @pytest.fixture()
-def dtype_by_interface_instance(all_passing_cases, tmp_output_dir_func):
-    array = all_passing_cases.array(path=tmp_output_dir_func)
-    instance = all_passing_cases.model(array=array)
+def dtype_by_interface_instance(dtype_by_interface, tmp_output_dir_func):
+    array = dtype_by_interface.array(path=tmp_output_dir_func)
+    instance = dtype_by_interface.model(array=array)
     return instance