implement cli for benchmarking and evilnkode

src/keypad/tower_shuffle.py

@@ -1,7 +1,6 @@
 from dataclasses import dataclass
 import numpy as np
 
-
 @dataclass
 class Tower:
     floors: list[np.ndarray]
@@ -11,7 +10,7 @@ class Tower:
         keep = np.array([], dtype=int)
         balance = self.balance()
         for idx, floor in enumerate(self.floors):
-            div = len(floor) // 2 + balance[idx]
+            div = len(floor)//2 + balance[idx]
             floor_shuffle = np.random.permutation(len(floor))
             keep = np.concatenate((keep, floor[floor_shuffle[:div]]))
             discard = np.concatenate((discard, floor[floor_shuffle[div:]]))
@@ -29,6 +28,7 @@ class Tower:
         balance[odd_floors] = 1
         return balance.tolist()
 
+
     def update_tower(self, keep: np.ndarray, other_discard: np.ndarray):
         new_floors = []
         for floor in self.floors:
@@ -51,22 +51,20 @@ class Tower:
             tower.extend(floor.tolist())
         return tower
 
-
 @dataclass
 class TowerShuffle:
-    # TODO: I don't think total_positions is used anywhere
     total_positions: int
     left_tower: Tower
     right_tower: Tower
 
     @classmethod
-    def new(cls, total_pos: int):
+    def new(cls, total_pos:int):
         assert total_pos >= 3
         rand_pos = np.random.permutation(total_pos)
         return TowerShuffle(
             total_positions=total_pos,
-            left_tower=Tower(floors=[rand_pos[:total_pos // 2]]),
+            left_tower=Tower(floors=[rand_pos[:total_pos//2]]),
-            right_tower=Tower(floors=[rand_pos[total_pos // 2:]]),
+            right_tower=Tower(floors=[rand_pos[total_pos//2:]]),
         )
 
     def shuffle(self):

tests/test_tower_shuffle.py

@@ -1,8 +1,7 @@
 from src.keypad.tower_shuffle import TowerShuffle
 
-
 def test_tower_shuffle():
-    tower = TowerShuffle.new(13)
+    tower = TowerShuffle.new(9)
     print(tower)
     for _ in range(100):
         tower.shuffle()