From b481ae8a894e44a5c760dd9185e50e26bb494418 Mon Sep 17 00:00:00 2001
From: Max Jones <14077947+maxrjones@users.noreply.github.com>
Date: Tue, 23 Sep 2025 15:45:29 -0400
Subject: [PATCH 1/2] Import EnumType from h5netcdf.core directly

---
 xarray/backends/h5netcdf_.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/xarray/backends/h5netcdf_.py b/xarray/backends/h5netcdf_.py
index 422eadc6c34..72add83c025 100644
--- a/xarray/backends/h5netcdf_.py
+++ b/xarray/backends/h5netcdf_.py
@@ -237,8 +237,8 @@ def ds(self):
         return self._acquire()
 
     def open_store_variable(self, name, var):
-        import h5netcdf
         import h5py
+        from h5netcdf.core import EnumType
 
         dimensions = var.dimensions
         data = indexing.LazilyIndexedArray(H5NetCDFArrayWrapper(name, self))
@@ -276,7 +276,7 @@ def open_store_variable(self, name, var):
         # just check if datatype is available and create dtype
         # this check can be removed if h5netcdf >= 1.4.0 for any environment
         elif (datatype := getattr(var, "datatype", None)) and isinstance(
-            datatype, h5netcdf.core.EnumType
+            datatype, EnumType
         ):
             encoding["dtype"] = np.dtype(
                 data.dtype,

From e9f53b843f1f2800635f9a6d9374ff5bf8b9d891 Mon Sep 17 00:00:00 2001
From: Max Jones <14077947+maxrjones@users.noreply.github.com>
Date: Tue, 23 Sep 2025 16:50:15 -0400
Subject: [PATCH 2/2] Support older h5netcdf

---
 xarray/backends/h5netcdf_.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/xarray/backends/h5netcdf_.py b/xarray/backends/h5netcdf_.py
index 72add83c025..779e76c9d0b 100644
--- a/xarray/backends/h5netcdf_.py
+++ b/xarray/backends/h5netcdf_.py
@@ -237,8 +237,8 @@ def ds(self):
         return self._acquire()
 
     def open_store_variable(self, name, var):
+        import h5netcdf.core
         import h5py
-        from h5netcdf.core import EnumType
 
         dimensions = var.dimensions
         data = indexing.LazilyIndexedArray(H5NetCDFArrayWrapper(name, self))
@@ -276,7 +276,7 @@ def open_store_variable(self, name, var):
         # just check if datatype is available and create dtype
         # this check can be removed if h5netcdf >= 1.4.0 for any environment
         elif (datatype := getattr(var, "datatype", None)) and isinstance(
-            datatype, EnumType
+            datatype, h5netcdf.core.EnumType
         ):
             encoding["dtype"] = np.dtype(
                 data.dtype,