Make `AggregateMeanFScoreEvaluator` hashable and totally ordered

ahisto_named_entity_search/recognition/evaluator.py

 from typing import Dict, Optional, Set, List
+from functools import total_ordering
 
 from more_itertools import zip_equal
 import torch
@@ -18,6 +19,7 @@ GroupMap = Dict[GroupName, Group]
 FScore = float
 
 
+@total_ordering
 class AggregateMeanFScoreEvaluator(TokenClassificationEvaluator):
     GROUPS: GroupMap = {
         'PER': {'B-PER', 'I-PER', 'B-ORG', 'I-ORG'},
@@ -70,6 +72,21 @@ class AggregateMeanFScoreEvaluator(TokenClassificationEvaluator):
         all_group_names = set(cls.GROUPS.keys())
         return all_group_names
 
+    def __hash__(self):
+        return hash(self.group_name)
+
+    def __eq__(self, other) -> bool:
+        if isinstance(other, AggregateMeanFScoreEvaluator):
+            return self.group_name == other.group_name
+        return NotImplemented
+
+    def __lt__(self, other) -> bool:
+        if isinstance(other, AggregateMeanFScoreEvaluator):
+            if self.group_name is None or other.group_name is None:
+                return self.group_name is None
+            return self.group_name < other.group_name
+        return NotImplemented
+
     def __str__(self) -> str:
         if self.group_name is None:
             return 'all'