TEST: compute hash over frozendict

pyproject.toml

@@ -111,6 +111,7 @@ style = [
 ]
 test = [
     "ampform[scipy]",
+    "frozendict",
     "ipywidgets", # symplot
     "nbmake",
     "numpy",

tests/sympy/test_cache.py

@@ -6,7 +6,7 @@
 import pytest
 import qrules
 import sympy as sp
-from qrules.topology import FrozenDict
+from frozendict import frozendict
 
 from ampform import get_builder
 from ampform.dynamics import EnergyDependentWidth
@@ -100,16 +100,16 @@ def test_amplitude_model(self, expected_hash: str, formalism: SpinFormalism):
 
 class TestFrozenDict:
     def test_qrules_frozen_dict(self):
-        obj: FrozenDict = FrozenDict({})
-        assert get_readable_hash(obj) == "023f1d9cf3576a46b278007d6e5cb0fa"
+        obj: frozendict = frozendict({})
+        assert get_readable_hash(obj) == "c47e813991dc106a9eb228c8aa5f6aa5"
 
-        obj = FrozenDict({"key1": "value1"})
-        assert get_readable_hash(obj) == "076915d85252aa5c87f63702437c6dbd"
+        obj = frozendict({"key1": "value1"})
+        assert get_readable_hash(obj) == "6e8dcf3dc6279354d54d13751fe83f64"
 
-        obj = FrozenDict({
+        obj = frozendict({
             "key1": "value1",
             "key2": 2,
             "key3": (1, 2, 3),
-            "key4": FrozenDict({"nested_key": "nested_value"}),
+            "key4": frozendict({"nested_key": "nested_value"}),
         })
-        assert get_readable_hash(obj) == "c3b3a661e63f57003fc3deea5d23ede9"
+        assert get_readable_hash(obj) == "e6d0016db574753d7578e31812578227"