首页 > 解决方案 > 如何修复 numpy python 文件加载/写入中的逻辑错误

问题描述

我最近开始创建一个基于控制台的角色扮演游戏。

我做了这个代码:

# MAIN GAME LOOP
  while True:
    if MMS == 'A': # already definied
      print('Loading Story mode...')
      print('[LOADING] Importing numpy')
      try:
        import numpy as np
      except ImportError:
        print('Error 01 // Cilent side')
        print('ImportError')
        while True:
          A = 1
      print('[LOADING] Trying load save...')
      try:
        SAVE = np.loadtxt('Savedata.dat')
        MAXLIFE = SAVE[:, 0]  # all of thesse already definied
        LIFE = SAVE[:, 1]
        MAXEN = SAVE[:, 2]
        EN = SAVE[:, 3]
        MAXOX = SAVE[:, 4]
        OX = SAVE[:, 5]
        OPOS = SAVE[:, 6]
        POS = SAVE[:, 7]
        CHAPTER = SAVE[:, 8]
        SAVE.close()
      except:
        sleep(4)
        print('[LOADING] No save file found or incorrect save.')
        print('[LOADING] Creating a new save.')
        MAXLIFE = 150
        LIFE = 110
        MAXEN = 150 
        EN = 150
        MAXOX = 150 
        OX = 85
        OPOS = 10
        POS = 10
        CHAPTER = 1
        np.savetxt('Savedata.dat', [MAXLIFE, LIFE, MAXEN, EN, MAXOX, OX, OPOS, POS, CHAPTER])

我除了如果没有保存,它会使用默认值创建一个新的保存。如果有存档,游戏会加载它。但是,它会产生这个无限的输出:

[LOADING] No save file found or incorrect save.
[LOADING] Creating a new save.
Loading Story mode...
[LOADING] Importing numpy
[LOADING] Trying load save...
[LOADING] No save file found or incorrect save.
[LOADING] Creating a new save.
Loading Story mode...
...

无限循环没问题,但它没有检测到它之前的保存。

那在 Savedata.dat

1.000000000000000000e+00
1.000000000000000000e+00
1.000000000000000000e+00
1.000000000000000000e+00
1.000000000000000000e+00
1.000000000000000000e+00
1.000000000000000000e+00
1.000000000000000000e+00
1.000000000000000000e+00

我做错了什么?谢谢!

标签: pythonnumpy

解决方案


正如 hpaulj 所说,不要使用 bare except。我将其重写为:

except Exception as e:
    print(e)

(我知道,只捕获异常也很糟糕)它打印了我这个:

Traceback (most recent call last):
  File "wakagame.py", line 21, in <module>
    MAXLIFE = SAVE[:, 0]  # all of thesse already definied
IndexError: too many indices for array

问题是您正在尝试选择列:

MAXLIFE = SAVE[:, 0]

不是来自矩阵,而是来自平均一维数组:

np.savetxt('Savedata.dat', [MAXLIFE, LIFE, MAXEN, EN, MAXOX, OX, OPOS, POS, CHAPTER])

您应该将所有这些行替换为以下行:

MAXLIFE = SAVE[0]

(另请注意,SAVE 是一个 numpy 数组,而不是文件,因此SAVE.close()会返回错误。您应该删除此行)


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