說明:

1.該教程適合對編程有一定了解的人員。

2.該教程在WINDOWS下實驗。

切入正題,

1.首先下載Notepad++,工欲善其事,必先利其器,然後安裝NotePad++的插件NppExec。如果不甚了解,可以度娘或者谷歌。

接著下載Lua,在環境變量中加入LUA的路徑。如果不甚了解也請度娘。

2.配置NppExec,如下圖,對幾個重要的屬性打勾,並將Direct Excecute Previous的快捷鍵改為F9,因為更方便使用,可以使用“設置”->“管理快捷鍵”->"Plugin commonds"進行更改。

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" alt="" />

然後按F6,彈出下圖,進行配置自動運行腳本的命令:

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" alt="" />

因為我安裝的是52版本的LUA,所以我使用LUA52,如果你的版本不同,這個命令行就有可能不同。

然後點SAVE進行保存。

3.LUA簡單說明,

1).LUA的語句塊使用 end 結束,

2).使用 逗號 , 進行分隔

3).只有函數聲明和函數調用參數才使用小括號 (),然後地方均不用括號

4)變量是無類型的,即為任何為類型。

好了,可以寫一個簡單的1+... + 100 的小程序了:

  1. sum =
  2. for i=, do
  3. sum = sum + i
  4. end
  5.  
  6. print ("sum = ",sum)

小小分析一下,for 使用 do 開始,end結束,i=0,100,使用逗號進行分隔,從0開始,100結束,函數print支持多參數。for 還支持步數,看下面的程序:

  1. for i=,, do
  2. print (i)
  3. end

試驗一下,發現,會打印 0,2,4,8,10,因為是以2為步數,即每次i+2

循環還有 while do ... end, repeat ... until ...,注意前面說的,只有函數才用括號,所以until , while 等是不用括號的。

4. 函數。函數太好玩了,可以接收多參數,可以返回多參數。我們寫一個加法函數:

  1. function add (a,b)
  2. return a,b,a+b
  3. end

再調用

  1. print (add(,))

我想結果你已經看到了。

5.最好用的結構體:table,使用非常簡單:變量名={},如果大括號內為內,這個表就為空。注意前面說的,使用逗號進行分隔。

來看一下代碼:

  1.  
  1. g_id =
  2. shape = {
  3. name="what",
  4. id=,
  5.  
  6. rect = { x=, y=, w=, h=},
  7. font = { name="PMingLiU", size= }
  8. }
  9.  
  10. function GenerateShape ()
  11. local _s = shape
  12. g_id = g_id +
  13. _s.id = g_id
  14. _s.name="good".. g_id
  15. return _s
  16. end
  17.  
  18. function PrintShape (s)
  19. print (s.name, s.id, s.rect.x, s.font.name)
  20. end
  21.  
  22. PrintShape (shape)
  23. s2 = GenerateShape ()
  24. PrintShape (s2)
  25. PrintShape (shape)
  26.  
  27. s3 = GenerateShape ();
  28. PrintShape (s2)
  29. PrintShape (s3)
  30. PrintShape (shape)
  1.  

我定義了一個 GenerateShape (),用於自動產生一個shape,它的ID自動加1,使用一個全局變量 shape,它有默認值。當我們打印結果的時候,很自然的發現,他們全部一樣了,於是我們發現,LUA是不支持C/C++的傳值的,全部是引用。於是又改進了下:

  1. g_id =
  2. shape = {
  3. name="what",
  4. id=,
  5.  
  6. rect = { x=, y=, w=, h=},
  7. font = { name="PMingLiU", size= }
  8. }
  9.  
  10. function GenerateShape ()
  11. local _s = {
  12. name="what",
  13. id=,
  14.  
  15. rect = { x=, y=, w=, h=},
  16. font = { name="PMingLiU", size= }
  17. }
  18.  
  19. return _s
  20. end
  21.  
  22. function InitShape (s,name)
  23. g_id = g_id +
  24. s.id = g_id
  25. s.name=name
  26. end
  27.  
  28. function PrintShape (s)
  29. print (s.name, s.id, s.rect.x, s.font.name)
  30. end
  31.  
  32. PrintShape (shape)
  33. s2 = GenerateShape ()
  34. InitShape (s2,"s2")
  35. PrintShape (s2)
  36. PrintShape (shape)
  37.  
  38. s3 = GenerateShape ();
  39. InitShape (s3, "s3")
  40. PrintShape (s2)
  41. PrintShape (s3)
  42. PrintShape (shape)

很顯然我們已經可以得到正確的變量了。

另外要注意的就是,table相當於一個字典,看下面的函數名對應函數,注意,函數也可以當作是一個變量:

  1. function add(a,b)
  2. return a+b
  3. end
  4.  
  5. function minus (a,b)
  6. return a-b
  7. end
  8.  
  9. funs = {}
  10.  
  11. funs [add] = "add"
  12. funs [minus] = "minus"
  13.  
  14. for n,v in pairs (funs) do
  15. print (n,v)
  16. end

在for語句中,n是key, v是value,打印結果是很一目瞭然的。

關於一點小技巧,就是如果函數多個返回值,可能我們不需要前面幾個值(後面不需要,可以不填,會自動忽略),可以使用“_"進行一下佔位,如:

  1. function add (a,b)
  2. return a,b,a+b
  3. end
  4.  
  5. _,_,sum = add(,)
  6.  
  7. print (sum)

好了,寫到這裡了,不寫了。想要深入,就可以學習標準庫:string, io, math, 等,以及與C語言如何交互。

这里有一篇相当好的总结,:

http://www.cnblogs.com/ly4cn/archive/2006/08/04/467550.html

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