implement replay

src/benchmark.py

@@ -8,9 +8,8 @@ from src.utils import ShuffleTypes, observations, passcode_generator
 
 @dataclass
 class Benchmark:
-    mean: int
-    variance: int
-    runs: list[int]
+    iterations_to_break: list[int]
+    iterations_to_replay: list[int]
 
 
 def shuffle_benchmark(
@@ -25,20 +24,21 @@ def shuffle_benchmark(
         file_path: str = '../output',
         overwrite: bool = False
 ) -> Benchmark:
-    file_name = f"{shuffle_type.name.lower()}-{number_of_keys}-{properties_per_key}-{passcode_len}-{max_tries_before_lockout}-{complexity}-{disparity}-{run_count}.txt"
-    full_path = Path(file_path) / file_name
-    if not overwrite and full_path.exists():
-        print(f"file exists {file_path}")
-        with open(full_path, "r") as fp:
-            runs = fp.readline()
-            runs = runs.split(',')
-            runs = [int(i) for i in runs]
-            return  Benchmark(
-                mean=mean(runs),
-                variance=variance(runs),
-                runs=runs
-            )
-    runs = []
+    # file_name_break = f"{shuffle_type.name.lower()}-{number_of_keys}-{properties_per_key}-{passcode_len}-{max_tries_before_lockout}-{complexity}-{disparity}-{run_count}.txt"
+    # full_path_iter_break = Path(file_path) / "iterations_to_break" /file_name_break
+    # if not overwrite and full_path_iter_break.exists():
+    #     print(f"file exists {file_path}")
+    #     with open(full_path_iter_break, "r") as fp:
+    #         iterations_to_break = fp.readline()
+    #         iterations_to_break = iterations_to_break.split(',')
+    #         iterations_to_break = [int(i) for i in iterations_to_break]
+    #         return  Benchmark(
+    #             mean=mean(iterations_to_break),
+    #             variance=variance(iterations_to_break),
+    #             iterations_to_break=iterations_to_break
+    #         )
+    iterations_to_break = []
+    iterations_to_replay = []
     for _ in range(run_count):
         passcode = passcode_generator(number_of_keys, properties_per_key, passcode_len, complexity, disparity)
         evilkode = Evilkode(
@@ -56,50 +56,50 @@ def shuffle_benchmark(
             max_tries_before_lockout=max_tries_before_lockout,
         )
         evilout = evilkode.run()
-        runs.append(evilout.iterations)
+        iterations_to_break.append(evilout.iterations_to_break)
+        iterations_to_replay.append(evilout.iterations_to_replay)
 
-    full_path.parent.mkdir(parents=True, exist_ok=True)
-    with open(full_path, "w") as fp:
-       fp.write(",".join([str(i) for i in runs])),
+    # full_path_iter_break.parent.mkdir(parents=True, exist_ok=True)
+    # with open(full_path_iter_break, "w") as fp:
+    #    fp.write(",".join([str(i) for i in iterations_to_break])),
 
     return Benchmark(
-        mean=mean(runs),
-        variance=variance(runs),
-        runs=runs
+        iterations_to_break=iterations_to_break,
+        iterations_to_replay=iterations_to_replay
     )
 
 
-def full_shuffle_benchmark(
-        number_of_keys: int,
-        properties_per_key: int,
-        passcode_len: int,
-        max_tries_before_lockout: int,
-        run_count: int,
-        complexity: int,
-        disparity: int,
-) -> Benchmark:
-    runs = []
-    for _ in range(run_count):
-        passcode = passcode_generator(number_of_keys, properties_per_key, passcode_len, complexity, disparity)
-        evilkode = Evilkode(
-            observations=observations(
-                target_passcode=passcode,
-                number_of_keys=number_of_keys,
-                properties_per_key=properties_per_key,
-                min_complexity=complexity,
-                min_disparity=disparity,
-                shuffle_type=ShuffleTypes.FULL_SHUFFLE,
-            ),
-            number_of_keys=number_of_keys,
-            properties_per_key=properties_per_key,
-            passcode_len=passcode_len,
-            max_tries_before_lockout=max_tries_before_lockout,
-        )
-        evilout = evilkode.run()
-        runs.append(evilout.iterations)
-
-    return Benchmark(
-        mean=mean(runs),
-        variance=variance(runs),
-        runs=runs
-    )
+# def full_shuffle_benchmark(
+#         number_of_keys: int,
+#         properties_per_key: int,
+#         passcode_len: int,
+#         max_tries_before_lockout: int,
+#         run_count: int,
+#         complexity: int,
+#         disparity: int,
+# ) -> Benchmark:
+#     runs = []
+#     for _ in range(run_count):
+#         passcode = passcode_generator(number_of_keys, properties_per_key, passcode_len, complexity, disparity)
+#         evilkode = Evilkode(
+#             observations=observations(
+#                 target_passcode=passcode,
+#                 number_of_keys=number_of_keys,
+#                 properties_per_key=properties_per_key,
+#                 min_complexity=complexity,
+#                 min_disparity=disparity,
+#                 shuffle_type=ShuffleTypes.FULL_SHUFFLE,
+#             ),
+#             number_of_keys=number_of_keys,
+#             properties_per_key=properties_per_key,
+#             passcode_len=passcode_len,
+#             max_tries_before_lockout=max_tries_before_lockout,
+#         )
+#         evilout = evilkode.run()
+#         runs.append(evilout.iterations_to_break)
+#
+#     return Benchmark(
+#         mean=mean(runs),
+#         variance=variance(runs),
+#         iterations_to_break=runs
+#     )

src/evilkode.py

@@ -12,15 +12,20 @@ class Observation:
     def property_list(self) -> list[set[int]]:
         return [set(self.keypad[idx]) for idx in self.key_selection]
 
+    @property
+    def flat_keypad(self) -> list[int]:
+        return [num for row in self.keypad for num in row]
+
 
 @dataclass
 class EvilOutput:
-    possible_nkodes: list[list[int]]
-    iterations: int
+    # possible_nkodes: list[list[int]]
+    iterations_to_break: int
+    iterations_to_replay: int
 
-    @property
-    def number_of_possible_nkode(self):
-        return math.prod([len(el) for el in self.possible_nkodes])
+    # @property
+    # def number_of_possible_nkode(self):
+    #     return math.prod([len(el) for el in self.possible_nkodes])
 
 
 @dataclass
@@ -39,9 +44,25 @@ class Evilkode:
 
     def run(self) -> EvilOutput:
         self.initialize()
+        iterations_to_replay = None
         for idx, obs in enumerate(self.observations):
+            if iterations_to_replay is None:
+                replay_possibilities = self.replay_attack(obs)
+                if replay_possibilities <= self.max_tries_before_lockout:
+                   iterations_to_replay =  idx + 1
             if math.prod([len(el) for el in self.possible_nkode]) <= self.max_tries_before_lockout:
-                return EvilOutput(possible_nkodes=[list(el) for el in self.possible_nkode], iterations=idx+1)
+                assert iterations_to_replay <= idx +1
+                return EvilOutput(
+                    # possible_nkodes=[list(el) for el in self.possible_nkode],
+                    iterations_to_break=idx + 1,
+                    iterations_to_replay=iterations_to_replay
+                )
             for jdx, props in enumerate(obs.property_list):
                 self.possible_nkode[jdx] = props.intersection(self.possible_nkode[jdx])
         raise Exception("error in Evilkode, observations stopped yielding")
+
+    def replay_attack(self, obs: Observation) -> int:
+        possible_combos = 1
+        for el in self.possible_nkode:
+            possible_combos *= len({obs.flat_keypad.index(el2) // self.properties_per_key for el2 in el})
+        return possible_combos

src/tower_shuffle.py

@@ -59,7 +59,7 @@ class TowerShuffle:
 
     @classmethod
     def new(cls, total_pos:int):
-        assert total_pos >= 4
+        assert total_pos >= 3
         rand_pos = np.random.permutation(total_pos)
         return TowerShuffle(
             total_positions=total_pos,