Tidy files

Former-commit-id: 3ad18d4bae036b9c55576f4c8b726a32a4e30c76

seat_map/main.py

@@ -0,0 +1,74 @@
+import numpy as np
+from pandas import DataFrame
+
+# seat = np.arange(48,dtype=np.byte).reshape((4,2,6))
+seat = np.fromfile('seat.dat',dtype=np.byte).reshape((4,2,6))
+print(seat.shape)
+
+maps = np.arange(4)
+maps[-1]=maps[0]
+maps[:-1]+=1
+
+seat[:,:,-1]=seat[:,:,0]
+seat[:,:,0:-1]+=1
+seat = seat[maps,:,:]
+
+seat.tofile("seat.dat")
+
+names = np.array([
+    "张姝肜",
+    "乔旺源",
+    "焦祺",
+    "丛金旺",
+    "周巧冉",
+    "张日昊",
+    "刘卓",
+    "宋智宪",
+    "张文桦",
+    "王子来",
+    "姜樱楠",
+    "于诗澳",
+    "张潇艺",
+    "李语恒",
+    "*",
+    "张晓轩",
+    "宋佳怡",
+    "宋雨蔓",
+    "于世函",
+    "王梁宇",
+    "*",
+    "毕一聪",
+    "娄晴",
+    "黄卓琳",
+    "刘宇航",
+    "刘雨鑫",
+    "庞惠铭",
+    "徐子灏",
+    "阎展博",
+    "崔子豪",
+    "王明仁",
+    "王耀增",
+    "李善伊",
+    "吴庆波",
+    "樊乐天",
+    "潘一鸣",
+    "洛艺伟",
+    "周含笑",
+    "苏振宇",
+    "沈洁",
+    "李柏畅",
+    "毕思淼",
+    "张濠亿",
+    "李怡萱",
+    "高镆",
+    "张妍",
+    "杨颜聪",
+    "李南卓阳"
+])
+opt = seat.reshape((8,6))
+opt = opt[:,::-1]
+print(DataFrame(opt))
+opt = names[opt]
+with open("seat.csv", "w", encoding="gb2312") as f:
+    for i in range(6):
+        print(",".join(opt[:,i]),file=f)