Use the pre-3.10 compatibility form

src/dxtbx/format/Registry.py

@@ -34,7 +34,7 @@ def get_format_class_index() -> dict[str, tuple[Callable[[], type[Format]], list
     """
     if not hasattr(get_format_class_index, "cache"):
         class_index = {}
-        for e in importlib.metadata.entry_points(group="dxtbx.format"):
+        for e in importlib.metadata.entry_points()["dxtbx.format"]:
             if ":" in e.name:
                 format_name, base_classes_str = e.name.split(":", 1)
                 base_classes = tuple(base_classes_str.split(","))

src/dxtbx/model/experiment_list.py

@@ -322,7 +322,6 @@ def decode(self):
         # a sensible experiment.
         el = ExperimentList()
         for eobj in self._obj["experiment"]:
-
             # Get the models
             identifier = eobj.get("identifier", "")
             beam = self._lookup_model("beam", eobj)
@@ -466,9 +465,7 @@ def _lookup_model(self, name, experiment_dict):
     @staticmethod
     def _scaling_model_from_dict(obj):
         """Get the scaling model from a dictionary."""
-        for entry_point in importlib.metadata.entry_points(
-            group="dxtbx.scaling_model_ext"
-        ):
+        for entry_point in importlib.metadata.entry_points()["dxtbx.scaling_model_ext"]:
             if entry_point.name == obj["__id__"]:
                 return entry_point.load().from_dict(obj)
 

src/dxtbx/model/profile.py

@@ -16,7 +16,7 @@ def from_dict(obj):
         """
         if obj is None:
             return None
-        for entry_point in importlib.metadata.entry_points(group="dxtbx.profile_model"):
+        for entry_point in importlib.metadata.entry_points()["dxtbx.profile_model"]:
             if entry_point.name == obj["__id__"]:
                 return entry_point.load().from_dict(obj)
         logging.getLogger("dxtbx.model.profile").warn(