implement pseduo nkode api

test/test_pseudo_nkode_api.py

@@ -0,0 +1,43 @@
+import pytest
+from src.pseudo_nkode_api import UserDBModel
+from src.utils import generate_random_index_interface, disperse_interface
+from src.models import EncipheredNKode
+from src.user_cipher_keys import UserCipherKeys
+
+
+def attribute_adjacency_graph(interface: list[list[int]]) -> dict[int, set[int]]:
+    graph = {}
+    for attr_set in interface:
+        for attr in attr_set:
+            graph[attr] = set(attr_set)
+            graph[attr].remove(attr)
+
+    return graph
+
+
+@pytest.mark.parametrize("user", [
+    (
+            UserDBModel(
+                username="test",
+                nkode=EncipheredNKode(
+                    code="",
+                    mask=""
+                ),
+                user_keys=UserCipherKeys.new_user_encipher_keys(
+                    numb_of_keys=10,
+                    attrs_per_key=7,
+                    set_values=list(range(7))
+                ),
+                user_interface=generate_random_index_interface(10, 7),
+            )
+    )
+])
+def test_dispersion(user):
+    pre_dispersion_interface = user.user_interface
+    post_dispersion_interface = disperse_interface(user.user_interface)
+
+    pre_dispresion_graph = attribute_adjacency_graph(pre_dispersion_interface)
+    post_dispersion_graph = attribute_adjacency_graph(post_dispersion_interface)
+    for _ in range(10000):
+        for attr, adj_graph in pre_dispresion_graph.items():
+            assert (adj_graph.isdisjoint(post_dispersion_graph[attr]))