我有一组来自一些机器的.reg文件，我想用python pandas解析它们。在

如果换行符以[开始，则为以下项目的路径

如果换行符以“，”开头，则从新行开始到等号的项是上面有路径的键

如果该行包含：并且不是路径，则在=号后面和冒号前面的项被视为类型。在

如果没有类型，则等号后面的项就是值

如果类型完全包含十六进制，则需要将其后面的行添加到完整的键值中，而不需要反斜杠，基本上在dataframe中的一行上都包含hex。在

数据集如下所示，实际文件中包含更多：[HKEY_CURRENT_USER\System\GameConfigStore\Children\f198275c-96a8-45b6-a936-a5218456ebe3]

“Type”=dword:00000001

“Revision”=dword:00000517

“Flags”=dword:00000033

“Parent”=hex:01,00,00,00,d0,8c,9d,df,01,15,d1,11,8c,7a,00,c0,4f,c2,97,eb,01,00,\

00,00,db,b0,ca,53,b8,b8,23,4c,80,98,d7,99,bf,60,50,ce,04,00,00,00,02,00,00,\

00,00,00,10,66,00,00,00,01,00,00,20,00,00,00,80,ea,2c,6e,63,eb,73,4a,72,b1,\

77,6d,b5,8d,22,fb,e0,3b,62,3a,e5,22,a8,41,43,e0,df,a3,14,a7,6a,93,00,00,00,\

00,0e,80,00,00,00,02,00,00,20,00,00,00,f0,cc,de,f3,db,dd,3f,e0,9d,f2,eb,c9,\

8c,f2,23,88,33,58,de,2a,9b,42,b3,1f,e0,0d,19,ea,00,df,2a,e4,20,00,00,00,5a,\

7c,32,2e,fc,1a,c3,c3,50,77,77,ae,56,f8,b0,b1,ef,13,8f,23,f0,89,50,7e,cd,12,\

6c,e1,b2,c4,c4,e6,40,00,00,00,b1,fe,1e,bb,ee,89,16,f2,8e,01,7d,92,ee,46,5e,\

7e,6e,16,4c,0b,90,8d,58,e3,94,35,c4,4a,8e,32,c8,2c,7b,0d,05,ed,5e,b4,fe,0a,\

90,47,6e,57,62,be,1e,1f,43,a2,55,a6,da,38,c1,7c,4d,1c,ec,9c,dc,67,65,fc

“GameDVR_GameGUID”=”c2f1cd5f-ede9-4e9e-81b1-1c0d96cd1f38”

“TitleId”=”1664882211”

[HKEY_CURRENT_USER\System\GameConfigStore\Parents]

[HKEY_CURRENT_CONFIG\Software\Fonts]

“LogPixels”=dword:00000060

“LogPixel2s”=dword:00000070

[HKEY_CURRENT_CONFIG\Software\S]

[HKEY_CURRENT_USER\System\GameConfigStore\Parents\1bc1327236aea4735af068c406dfd7d7b60f8d9c]

“Children”=hex(7):32,00,35,00,62,00,36,00,65,00,62,00,36,00,34,00,2d,00,65,00,\

30,00,65,00,32,00,2d,00,34,00,65,00,33,00,62,00,2d,00,38,00,32,00,64,00,36,\

00,2d,00,64,00,65,00,65,00,32,00,32,00,32,00,37,00,62,00,36,00,31,00,64,00,\

32,00,00,00

如果有空格，如何让dataframe读取如下所有路径、键、类型和值隐式地不加任何值？示例(由于大小原因，不包括数据集)：

^{pr2}$