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Fix: mid_cleanse() on one row of results (#522)

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LmeSzinc 2024-06-18 00:25:32 +08:00
parent c94176fbd2
commit b7df51c0e8
1 changed files with 10 additions and 0 deletions
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10
tasks/item/inventory.py
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@ -94,6 +94,12 @@ class InventoryManager:
if count == 1:
return mids
elif count == 2:
# Only one row, [173.5 175. ]
mid_diff_mean = np.mean(mid_diff_range)
diff = max(mids) - min(mids)
if diff < mid_diff_mean * 0.3:
return np.mean(mids).reshape((1,))
# Double rows
return mids
# print(mids)
encourage = self.COINCIDENT_POINT_ENCOURAGE_DISTANCE ** 2
@ -179,6 +185,8 @@ class InventoryManager:
area = self.inventory.area
x_list = np.unique(np.sort(points[:, 0]))
y_list = np.unique(np.sort(points[:, 1]))
# print(x_list)
# print(y_list)
x_list = self.mid_cleanse(
x_list,
mid_diff_range=(self.GRID_DELTA[0] - 3, self.GRID_DELTA[0] + 3),
@ -189,6 +197,8 @@ class InventoryManager:
mid_diff_range=(self.GRID_DELTA[1] - 3, self.GRID_DELTA[1] + 3),
edge_range=(area[1], area[3])
)
# print(x_list)
# print(y_list)
def is_near_existing(p):
diff = np.linalg.norm(points - p, axis=1)