Chore: Remove the use of np.int

dev_tools/research_optimizer.py

@@ -769,7 +769,7 @@ def project_select_index(self):
         Returns:
             np.ndarray: Shape (188,), lower index means to be selected first. 1000 for not selected projects.
         """
-        out = np.ones((PROJECTS.count,), dtype=np.int64) * 1000
+        out = np.ones((PROJECTS.count,), dtype=int) * 1000
         for index, project in enumerate(self.filter):
             if index != self.reset_index:
                 out[project.index] = index

module/base/utils.py

@@ -54,8 +54,8 @@ def random_rectangle_vector(vector, box, random_range=(0, 0, 0, 0), padding=15):
         tuple(int), tuple(int): start_point, end_point.
     """
     vector = np.array(vector) + random_rectangle_point(random_range)
-    vector = np.round(vector).astype(np.int)
-    half_vector = np.round(vector / 2).astype(np.int)
+    vector = np.round(vector).astype(int)
+    half_vector = np.round(vector / 2).astype(int)
     box = np.array(box) + np.append(np.abs(half_vector) + padding, -np.abs(half_vector) - padding)
     center = random_rectangle_point(box)
     start_point = center - half_vector
@@ -86,8 +86,8 @@ def random_rectangle_vector_opted(
         tuple(int), tuple(int): start_point, end_point.
     """
     vector = np.array(vector) + random_rectangle_point(random_range)
-    vector = np.round(vector).astype(np.int)
-    half_vector = np.round(vector / 2).astype(np.int)
+    vector = np.round(vector).astype(int)
+    half_vector = np.round(vector / 2).astype(int)
     box_pad = np.array(box) + np.append(np.abs(half_vector) + padding, -np.abs(half_vector) - padding)
     box_pad = area_offset(box_pad, half_vector)
     segment = int(np.linalg.norm(vector) // 70) + 1

module/device/method/minitouch.py

@@ -74,7 +74,7 @@ def insert_swipe(p0, p3, speed=15, min_distance=10):
     prev = (-100, -100)
     for t in ts:
         point = p0 * (1 - t) ** 3 + 3 * p1 * t * (1 - t) ** 2 + 3 * p2 * t ** 2 * (1 - t) + p3 * t ** 3
-        point = point.astype(np.int).tolist()
+        point = point.astype(int).tolist()
         if np.linalg.norm(np.subtract(point, prev)) < min_distance:
             continue
 

module/map/utils.py

@@ -147,7 +147,7 @@ def match_movable(before, spawn, after, fleets, fleet_step=2):
     after = after + fleets
     x = len(after)
     y = len(before)
-    distance = np.ones((y, x), dtype=np.int) * base_weight
+    distance = np.ones((y, x), dtype=int) * base_weight
     for i1, g1 in enumerate(before):
         for i2, g2 in enumerate(after):
             distance[i1, i2] = fleet_step - sum(abs(np.subtract(g1, g2)))

module/os/radar.py

@@ -171,7 +171,7 @@ def __init__(self, config, center=(1140, 226), delta=(11.7, 11.7), radius=5.15):
             for y in range(*self.shape[1]):
                 if np.linalg.norm([x, y]) > radius:
                     continue
-                grid_center = np.round(delta * (x, y) + center).astype(np.int)
+                grid_center = np.round(delta * (x, y) + center).astype(int)
                 self.grids[(x, y)] = RadarGrid(location=(x, y), image=None, center=grid_center, config=self.config)
 
     def __iter__(self):