'''

# ------------------------------------------------------------

# # 1、re模块 的解释

# # # 就其本质而言，正则表达式（或 RE）是一种小型的、高度专业化的编程语言，（在Python中）它内嵌

# # # 在Python中，并通过 re 模块实现。正则表达式模式被编译成一系列的字节码，然后由用 C 编写的匹

# # # 配引擎执行。

# # # 字符匹配（普通字符，元字符）：

# # # 1 普通字符：大多数字符和字母都会和自身匹配

# # #               >>> re.findall('alvin','yuanaleSxalexwupeiqi')

# # #                       ['alvin']

# # # 2 元字符：. ^ $ * + ? { } [ ] | ( ) \

# ------------------------------------------------------------

'''

'''

# ------------------------------------------------------------

# # 2、re.findall(待匹配的字符串，被查找的对象)

# # # 在字符串中找到正则表达式所匹配的所有子串，并返回一个列表，如果没有找到匹配的，则返回空列表。

# # # 注意： findall 匹配所有。

# # # Python3 正则表达式 | 菜鸟教程

# # # http://www.runoob.com/python3/python3-reg-expressions.html

# ------------------------------------------------------------

'''

#

# import re

# a1 = re.findall("alex","asfasgasdfalrex")

# a2 = re.findall("alex","asfasgasdfalex")

# print(a1)

# print(a2)

#

# # D:\Anaconda3\python.exe D:/C_cache/py/day22_os_json_re_etc_MoKuai/day22_6-re.py

# # []

# # ['alex']

# #

# # Process finished with exit code 0

'''

# ------------------------------------------------------------

# # 3、re.findall(待匹配的字符串，被查找的对象) 与 “.”元字符

# # # 一个元字符“.”代表一个未知的字符

# # # Python3 正则表达式 | 菜鸟教程

# # # http://www.runoob.com/python3/python3-reg-expressions.html

# ------------------------------------------------------------

'''

#

# import re

# a1 = re.findall("a.x","asfasgasdfalex")

# a2 = re.findall("a..x","asfasgasdfalex")

# a3 = re.findall("a....x","asfasgasdfalex")

#

# print(a1)

# print(a2)

# print(a3)

#

# # D:\Anaconda3\python.exe D:/C_cache/py/day22_os_json_re_etc_MoKuai/day22_6-re.py

# # []

# # ['alex']

# # []

# #

# # Process finished with exit code 0

'''

# ------------------------------------------------------------

# # 4、re.findall(待匹配的字符串，被查找的对象) 与 “^”元字符

# # # “^”代表待匹配的字符串的内容是在 被查找的对象中的开头部分开始匹配

# # # Python3 正则表达式 | 菜鸟教程

# # # http://www.runoob.com/python3/python3-reg-expressions.html

# ------------------------------------------------------------

'''

#

# import re

# a0 = re.findall("^a","alexsfasgasdfalex")

# a1 = re.findall("^a.x","alexsfasgasdfalex")

# a2 = re.findall("^a..x","alexsfasgasdfalex")

# a21 = re.findall("^a..x","wwwalexsfasgasdfalex")      # 被查找的字符串的开头不是a

# a3 = re.findall("^a....x","alexsfasgasdfalex")

#

# print(a0)

# print(a1)

# print(a2)

# print(a21)

# print(a3)

#

#

# # D:\Anaconda3\python.exe D:/C_cache/py/day22_os_json_re_etc_MoKuai/day22_6-re.py

# # ['a']

# # []

# # ['alex']

# # []

# # []

# # ['x']

# #

# # Process finished with exit code 0

'''

# ------------------------------------------------------------

# # 5、re.findall(待匹配的字符串，被查找的对象) 与 “$”元字符

# # # “$”代表的是，待匹配的字符串的位置的末尾处，是在被查找对象的末尾的

# # # Python3 正则表达式 | 菜鸟教程

# # # http://www.runoob.com/python3/python3-reg-expressions.html

# ------------------------------------------------------------

'''

#

# import re

# a0 = re.findall("x$","alexsfasgasdfalex")

# a1 = re.findall("a.x$","alexsfasgasdfalex")

# a2 = re.findall("a..x$","alexsfasgasdfalex")

# a21 = re.findall("a..x$","alexsfasgasdfalexwwwww")

# a3 = re.findall("a....x$","alexsfasgasdfalex")

#

# print(a0)

# print(a1)

# print(a2)

# print(a21)

# print(a3)

#

# #

# # D:\Anaconda3\python.exe D:/C_cache/py/day22_os_json_re_etc_MoKuai/day22_6-re.py

# # ['x']

# # []

# # ['alex']

# # []

# # []

# #

# # Process finished with exit code 0

'''

# ------------------------------------------------------------

# # 6、re.findall(待匹配的字符串，被查找的对象) 与 元字符“*”

# # # 其前面的一个字符匹配0个或多个的表达式。

# # # Python3 正则表达式 | 菜鸟教程

# # # http://www.runoob.com/python3/python3-reg-expressions.html

# ------------------------------------------------------------

'''

#

# import re

# a0 = re.findall("9*","9le99xsfa999sga9999sdfal99999ex")

# # 结果表示从  x  出现的次数从0次-->无穷次

# a1 = re.findall("alex*","ale0alex122alexx333alexxx4444alexxxx55555")

#

# print(a0)

# print(a1)

#

# # D:\Anaconda3\python.exe D:/C_cache/py/day22_os_json_re_etc_MoKuai/day22_6-re.py

# # ['9', '', '', '99', '', '', '', '', '999', '', '', '', '9999', '', '', '', '', '', '99999', '', '', '']

# # ['ale', 'alex', 'alexx', 'alexxx', 'alexxxx']

# #

# # Process finished with exit code 0

'''

# ------------------------------------------------------------

# # 7、re.findall(待匹配的字符串，被查找的对象) 与 元字符“+”

# # # 其前面的一个字符匹配1个或多个的表达式。

# # # Python3 正则表达式 | 菜鸟教程

# # # http://www.runoob.com/python3/python3-reg-expressions.html

# ------------------------------------------------------------

'''

#

# import re

# a0 = re.findall("9+","9le99xsfa999sga9999sdfal99999ex")

# # 结果表示从  x  出现的次数从1次-->无穷次

# a1 = re.findall("alex+","ale0alex122alexx333alexxx4444alexxxx55555")

#

# print(a0)

# print(a1)

#

# # D:\Anaconda3\python.exe D:/C_cache/py/day22_os_json_re_etc_MoKuai/day22_6-re.py

# # ['9', '99', '999', '9999', '99999']

# # ['alex', 'alexx', 'alexxx', 'alexxxx']

# #

# # Process finished with exit code 0

'''

# ------------------------------------------------------------

# # 8、re.findall(待匹配的字符串，被查找的对象) 与 元字符“?”

# # # 其前面的一个字符匹配1个或0个的表达式。

# # # Python3 正则表达式 | 菜鸟教程

# # # http://www.runoob.com/python3/python3-reg-expressions.html

# ------------------------------------------------------------

'''

#

# import re

# a0 = re.findall("9?","9le99xsfa999sga9999")

# # 结果表示从  x  出现的次数从0次-->1次

# a1 = re.findall("alex?","ale0alex122alexx333alexxx4444alexxxx55555")

#

# print(a0)

# print(a1)

#

# # D:\Anaconda3\python.exe D:/C_cache/py/day22_os_json_re_etc_MoKuai/day22_6-re.py

# # ['9', '', '', '9', '9', '', '', '', '', '9', '9', '9', '', '', '', '9', '9', '9', '9', '']

# # ['ale', 'alex', 'alex', 'alex', 'alex']

# #

# # Process finished with exit code 0

'''

# ------------------------------------------------------------

# # 9、re.findall(待匹配的字符串，被查找的对象) 与 元字符“{}”

# # # {0,} == *

# # # {1,} == +

# # # {0,1} == ?

# # # {6} ==

# # # Python3 正则表达式 | 菜鸟教程

# # # http://www.runoob.com/python3/python3-reg-expressions.html

# ------------------------------------------------------------

'''

#

# import re

#

# # {0,} == * ,结果表示从  x  出现的次数从0次-->无穷次

# a0 = re.findall("alex{0,}","ale0alex122alexx333alexxx4444alexxxx55555")

#

# # {1,} == + ,结果表示从  x  出现的次数从1次-->无穷次

# a1 = re.findall("alex{1,}","ale0alex122alexx333alexxx4444alexxxx55555")

#

# # {0,1} == ? ,结果表示从  x  出现的次数从0次-->1次

# a2 = re.findall("alex{0,1}","ale0alex122alexx333alexxx4444alexxxx55555")

#

# # {1,3} == {1,3} ,结果表示从  x  出现的次数从0次-->无穷次     ??

# a3 = re.findall("alex{1,3}","ale0alex122alexx333alexxx4444alexxxx55555")

#

# # {3} == {0,3} ,结果表示从  x  出现的次数从0次-->无穷次        ??

# a4 = re.findall("alex{0,}","ale0alex122alexx333alexxx4444alexxxx55555")

#

# print("alex{?,?}".center(60,"-"))

# print("{0,} == *    ",a0)

# print("{1,} == +    ",a1)

# print("{0,1} == ?   ",a2)

# print("{1,3} == {}  ",a3)

# print("{3} == {1,3}",a4)

#

# # D:\Anaconda3\python.exe D:/C_cache/py/day22_os_json_re_etc_MoKuai/day22_6-re.py

# # -------------------------alex{?,?}--------------------------

# # {0,} == *     ['ale', 'alex', 'alexx', 'alexxx', 'alexxxx']

# # {1,} == +     ['alex', 'alexx', 'alexxx', 'alexxxx']

# # {0,1} == ?    ['ale', 'alex', 'alex', 'alex', 'alex']

# # {1,3} == {}   ['alex', 'alexx', 'alexxx', 'alexxx']

# # {3} == {1,3} ['ale', 'alex', 'alexx', 'alexxx', 'alexxxx']

# #

# # Process finished with exit code 0

'''

# ------------------------------------------------------------

# # 10、re.findall(字符序列1[字符序列2]，被查找的对象) 与 元字符“[]”

# # # 字符序列2提供选择，查找是，字符序列1在序列2中选出某个字符进行搭配，之后再被查找对象中进行查找

# # # Python3 正则表达式 | 菜鸟教程

# # # http://www.runoob.com/python3/python3-reg-expressions.html

# ------------------------------------------------------------

'''

# import re

# a1 = re.findall("x[123]","x123aaax2aax3xx23")

# a2 = re.findall("x[123]A","x1A23aaax2Aaax3Axx2A3")

# a3 = re.findall("x[1,2,3]A","x1A23aaax23Aaax13Axx123A3")

# a4 = re.findall("x[1,2,*]A","x1A23aaax,Aaax*Axx123A3")

#

# print(a1)

# print(a2)

# print(a3)

# print(a4)

# #

# # D:\Anaconda3\python.exe D:/C_cache/py/day22_os_json_re_etc_MoKuai/day22_6-re.py

# # ['x1', 'x2', 'x3', 'x2']

# # ['x1A', 'x2A', 'x3A', 'x2A']

# # ['x1A']

# # ['x1A', 'x,A', 'x*A']

# #

# # Process finished with exit code 0

'''

# ------------------------------------------------------------

# # 11、re.findall(字符序列1[字符序列2]，被查找的对象) 与 元字符“[ - ]*”

# # # 字符序列2提供选择，查找是，字符序列1在序列2中选出某个字符进行搭配，之后再被查找对象中进行查找

# # # 里面的“-”表示范围，[ a-z] ,表示a-z的小写字母;[ 0-9] ,表示a-z的小写字母

# # # Python3 正则表达式 | 菜鸟教程

# # # http://www.runoob.com/python3/python3-reg-expressions.html

# ------------------------------------------------------------

'''

#

# import re

# a1 = re.findall("x[0-9]*","x123aaax2aax3xx23")

# a2 = re.findall("x[0-9]*A","x1A23aaax2Aaax3Axx222A3")

#

# print(a1)

# print(a2)

#

# # D:\Anaconda3\python.exe D:/C_cache/py/day22_os_json_re_etc_MoKuai/day22_6-re.py

# # ['x123', 'x2', 'x3', 'x', 'x23']

# # ['x1A', 'x2A', 'x3A', 'x222A']

# #

# # Process finished with exit code 0

'''

# ------------------------------------------------------------

# # 12、re.findall(字符序列1[^字符序列2]，被查找的对象) 与 元字符“[^ - ]”

# # # ^字符序列2进行取非，之后提供选择，查找是，字符序列1在序列2中选出某个字符进行搭配，

# # # 之后再被查找对象中进行查找

# # # 里面的“^”表示取非，[ a-z] ,表示a-z的小写字母;[ 0-9] ,表示a-z的小写字母

# # # Python3 正则表达式 | 菜鸟教程

# # # http://www.runoob.com/python3/python3-reg-expressions.html

# ------------------------------------------------------------

'''

#

# import re

# a0 = re.findall("x[^0-9]*","xx23")          # 取次数最多

# a1 = re.findall("x[^0-9]*","x123aaax2aax3xx23")

# a2 = re.findall("x[^0-9]*A","xaA23aaaxWAaax3Axx222A3")

#

# print(a0)

# print(a1)

# print(a2)

#

# # D:\Anaconda3\python.exe D:/C_cache/py/day22_os_json_re_etc_MoKuai/day22_6-re.py

# # ['xx']

# # ['x', 'x', 'x', 'xx']

# # ['xaA', 'xWA']

# #

# # Process finished with exit code 0

'''

# ------------------------------------------------------------

# # 13、元字符之转义符\

# # # Python3 正则表达式 | 菜鸟教程

# # # http://www.runoob.com/python3/python3-reg-expressions.html

# ------------------------------------------------------------

'''

#

# import re

# data = "12+(34*6+2-5*(2-1))"

# r1 = re.findall("\d",data)      # 匹配任意数字，等价于 [0-9]。

# r11 = re.findall("[0-9]",data)

# r2 = re.findall("\d+",data)

# r3 = re.findall("[0-9]+",data)

# r4 = re.findall("\D",data)      # 匹配任意非数字

# r5 = re.findall("\D+","hello world 1234ww")

# r6 = re.findall("\s+",data)     # 匹配任意空白字符，等价于 [\t\n\r\f]。

#

#

# print("\d       ",r1)

# print("[0-9]    ",r11)

# print("\d+      ",r2)

# print("[0-9]+   ",r3)

# print("\D       ",r4)

# print("\D+      ",r5)

# print("\s+      ",r6)

#

# # D:\Anaconda3\python.exe D:/C_cache/py/day22_os_json_re_etc_MoKuai/day22_6-re.py

# # \d        ['1', '2', '3', '4', '6', '2', '5', '2', '1']

# # [0-9]     ['1', '2', '3', '4', '6', '2', '5', '2', '1']

# # \d+       ['12', '34', '6', '2', '5', '2', '1']

# # [0-9]+    ['12', '34', '6', '2', '5', '2', '1']

# # \D        ['+', '(', '*', '+', '-', '*', '(', '-', ')', ')']

# # \D+       ['hello world ', 'ww']

# # \s+       []

# #

# # Process finished with exit code 0

'''

# ------------------------------------------------------------

# # 14、re.findall 在计算中的应用

# # # 在计算上的应用，使用正则表达示来处理字符串，而不是用eval来去掉字符中的双引号来实现计算

# # # 这里是将内层的(2-1)取出来

# # # Python3 正则表达式 | 菜鸟教程

# # # http://www.runoob.com/python3/python3-reg-expressions.html

# ------------------------------------------------------------

'''

#

# import re

# data = "12+(34*6+2-5*(2-1))"

# # eval处理

# e = eval(data)

# r = re.findall("\([^()]*\)",data)

#

# print(e)

# print(r,type(r),type(r[0]))

#

# # D:\Anaconda3\python.exe D:/C_cache/py/day22_os_json_re_etc_MoKuai/day22_6-re.py

# # 213

# # ['(2-1)'] <class 'list'> <class 'str'>

# #

# # Process finished with exit code 0