Mar*_*rot 954
/
^ # start of string
( # first group start
(?:
(?:[^?+*{}()[\]\\|]+ # literals and ^, $
| \\. # escaped characters
| \[ (?: \^?\\. | \^[^\\] | [^\\^] ) # character classes
(?: [^\]\\]+ | \\. )* \]
| \( (?:\?[:=!]|\?<[=!]|\?>)? (?1)?? \) # parenthesis, with recursive content
| \(\? (?:R|[+-]?\d+) \) # recursive matching
)
(?: (?:[?+*]|\{\d+(?:,\d*)?\}) [?+]? )? # quantifiers
| \| # alternative
)* # repeat content
) # end first group
$ # end of string
/
这是一个递归正则表达式,许多正则表达式引擎都不支持.基于PCRE的应该支持它.
没有空格和评论:
/^((?:(?:[^?+*{}()[\]\\|]+|\\.|\[(?:\^?\\.|\^[^\\]|[^\\^])(?:[^\]\\]+|\\.)*\]|\((?:\?[:=!]|\?<[=!]|\?>)?(?1)??\)|\(\?(?:R|[+-]?\d+)\))(?:(?:[?+*]|\{\d+(?:,\d*)?\})[?+]?)?|\|)*)$/
.NET不直接支持递归.((?1)和(?R)构造.)递归必须转换为计数平衡组:
^ # start of string
(?:
(?: [^?+*{}()[\]\\|]+ # literals and ^, $
| \\. # escaped characters
| \[ (?: \^?\\. | \^[^\\] | [^\\^] ) # character classes
(?: [^\]\\]+ | \\. )* \]
| \( (?:\?[:=!]
| \?<[=!]
| \?>
| \?<[^\W\d]\w*>
| \?'[^\W\d]\w*'
)? # opening of group
(?<N>) # increment counter
| \) # closing of group
(?<-N>) # decrement counter
)
(?: (?:[?+*]|\{\d+(?:,\d*)?\}) [?+]? )? # quantifiers
| \| # alternative
)* # repeat content
$ # end of string
(?(N)(?!)) # fail if counter is non-zero.
压实:
^(?:(?:[^?+*{}()[\]\\|]+|\\.|\[(?:\^?\\.|\^[^\\]|[^\\^])(?:[^\]\\]+|\\.)*\]|\((?:\?[:=!]|\?<[=!]|\?>|\?<[^\W\d]\w*>|\?'[^\W\d]\w*')?(?<N>)|\)(?<-N>))(?:(?:[?+*]|\{\d+(?:,\d*)?\})[?+]?)?|\|)*$(?(N)(?!))
Dan*_*Dan 317
不太可能.
try..catch用您或您提供的语言评估它.
Jar*_*Par 220
如果你严格地谈论正则表达式并且不包括一些实际上是无上下文语法的正则表达式实现,那就不.
正则表达式有一个限制,这使得无法编写匹配所有正则表达式的正则表达式.您无法匹配配对的大括号等实现.正则表达式使用许多这样的结构,让我们以[]为例.只要有[必须有匹配].足够简单的正则表达式"[.*]".
正则表达式无法实现的原因是它们可以嵌套.你怎么写一个匹配嵌套括号的正则表达式？答案是你不能没有无限长的正则表达式.你可以通过暴力匹配任意数量的嵌套parens,但你不能匹配任意长的嵌套括号.
此功能通常称为计数(您计算嵌套的深度).根据定义,正则表达式无法计数.
编辑:结束撰写关于此的博客文章:正则表达式限制
I G*_*ERS 52
好问题.真正的常规语言无法决定任意深度嵌套的良好形式的括号.即,如果您的字母包含'('和')',那么目标是确定这些字符串是否具有格式良好的匹配括号.由于这是正则表达式的必要条件,因此答案是否定的.
但是:如果放宽要求并添加递归,则可以执行此操作.原因是递归可以充当"堆栈",让您通过推入此堆栈来"计算"当前的嵌套深度.
Russ Cox撰写了一篇关于正则表达式引擎实现的精彩论文:正则表达式匹配可以简单快速
小智 16
不，如果您使用标准正则表达式。
原因是您无法满足常规语言的抽奖引理。抽运引理指出，如果存在数字N，则属于语言L的字符串是规则的，这样，在将字符串分为3个子字符串xyz之后，使得| x |> = 1 && | xy | <= N，您可以重复y您需要多次，并且整个字符串仍属于L。
抽运引理的结果是您不能使用形式a^Nb^Mc^N为常规的字符串，即两个长度相同的子字符串被另一个字符串分隔。以任何方式在xy和z中拆分此类字符串，如果不获取带有不同数量“ a”和“ c”的字符串，就无法“抽取” y，从而保留原始语言。例如，正则表达式中的括号就是这种情况。
San*_*ino 13
虽然完全有可能像MizardX发布的那样使用递归正则表达式,但对于这类事情来说,解析器更有用.Regexes最初打算用于常规语言,递归或平衡组只是一个补丁.
定义有效正则表达式的语言实际上是一个无上下文语法,您应该使用适当的解析器来处理它.这是一个用于解析简单正则表达式的大学项目的示例(没有大多数构造).它使用JavaCC.是的,评论是西班牙语,虽然方法名称是不言自明的.
SKIP :
{
" "
| "\r"
| "\t"
| "\n"
}
TOKEN :
{
< DIGITO: ["0" - "9"] >
| < MAYUSCULA: ["A" - "Z"] >
| < MINUSCULA: ["a" - "z"] >
| < LAMBDA: "LAMBDA" >
| < VACIO: "VACIO" >
}
IRegularExpression Expression() :
{
IRegularExpression r;
}
{
r=Alternation() { return r; }
}
// Matchea disyunciones: ER | ER
IRegularExpression Alternation() :
{
IRegularExpression r1 = null, r2 = null;
}
{
r1=Concatenation() ( "|" r2=Alternation() )?
{
if (r2 == null) {
return r1;
} else {
return createAlternation(r1,r2);
}
}
}
// Matchea concatenaciones: ER.ER
IRegularExpression Concatenation() :
{
IRegularExpression r1 = null, r2 = null;
}
{
r1=Repetition() ( "." r2=Repetition() { r1 = createConcatenation(r1,r2); } )*
{ return r1; }
}
// Matchea repeticiones: ER*
IRegularExpression Repetition() :
{
IRegularExpression r;
}
{
r=Atom() ( "*" { r = createRepetition(r); } )*
{ return r; }
}
// Matchea regex atomicas: (ER), Terminal, Vacio, Lambda
IRegularExpression Atom() :
{
String t;
IRegularExpression r;
}
{
( "(" r=Expression() ")" {return r;})
| t=Terminal() { return createTerminal(t); }
| <LAMBDA> { return createLambda(); }
| <VACIO> { return createEmpty(); }
}
// Matchea un terminal (digito o minuscula) y devuelve su valor
String Terminal() :
{
Token t;
}
{
( t=<DIGITO> | t=<MINUSCULA> ) { return t.image; }
}
你可以将正则表达式提交给preg_match,如果正则表达式无效,它将返回false.不要忘记使用'@'来禁止错误消息:
@preg_match($regexToTest, '');
Paul McGuire的以下示例最初来自pyparsing Wiki，但现在仅可通过Wayback Machine获得，它给出了解析某些正则表达式的语法，目的是返回匹配字符串集。因此，它拒绝那些包含无限制重复项的re，例如“ +”和“ *”。但这应该给您一个关于如何构造将处理re的解析器的想法。
#
# invRegex.py
#
# Copyright 2008, Paul McGuire
#
# pyparsing script to expand a regular expression into all possible matching strings
# Supports:
# - {n} and {m,n} repetition, but not unbounded + or * repetition
# - ? optional elements
# - [] character ranges
# - () grouping
# - | alternation
#
__all__ = ["count","invert"]
from pyparsing import (Literal, oneOf, printables, ParserElement, Combine,
SkipTo, operatorPrecedence, ParseFatalException, Word, nums, opAssoc,
Suppress, ParseResults, srange)
class CharacterRangeEmitter(object):
def __init__(self,chars):
# remove duplicate chars in character range, but preserve original order
seen = set()
self.charset = "".join( seen.add(c) or c for c in chars if c not in seen )
def __str__(self):
return '['+self.charset+']'
def __repr__(self):
return '['+self.charset+']'
def makeGenerator(self):
def genChars():
for s in self.charset:
yield s
return genChars
class OptionalEmitter(object):
def __init__(self,expr):
self.expr = expr
def makeGenerator(self):
def optionalGen():
yield ""
for s in self.expr.makeGenerator()():
yield s
return optionalGen
class DotEmitter(object):
def makeGenerator(self):
def dotGen():
for c in printables:
yield c
return dotGen
class GroupEmitter(object):
def __init__(self,exprs):
self.exprs = ParseResults(exprs)
def makeGenerator(self):
def groupGen():
def recurseList(elist):
if len(elist)==1:
for s in elist[0].makeGenerator()():
yield s
else:
for s in elist[0].makeGenerator()():
for s2 in recurseList(elist[1:]):
yield s + s2
if self.exprs:
for s in recurseList(self.exprs):
yield s
return groupGen
class AlternativeEmitter(object):
def __init__(self,exprs):
self.exprs = exprs
def makeGenerator(self):
def altGen():
for e in self.exprs:
for s in e.makeGenerator()():
yield s
return altGen
class LiteralEmitter(object):
def __init__(self,lit):
self.lit = lit
def __str__(self):
return "Lit:"+self.lit
def __repr__(self):
return "Lit:"+self.lit
def makeGenerator(self):
def litGen():
yield self.lit
return litGen
def handleRange(toks):
return CharacterRangeEmitter(srange(toks[0]))
def handleRepetition(toks):
toks=toks[0]
if toks[1] in "*+":
raise ParseFatalException("",0,"unbounded repetition operators not supported")
if toks[1] == "?":
return OptionalEmitter(toks[0])
if "count" in toks:
return GroupEmitter([toks[0]] * int(toks.count))
if "minCount" in toks:
mincount = int(toks.minCount)
maxcount = int(toks.maxCount)
optcount = maxcount - mincount
if optcount:
opt = OptionalEmitter(toks[0])
for i in range(1,optcount):
opt = OptionalEmitter(GroupEmitter([toks[0],opt]))
return GroupEmitter([toks[0]] * mincount + [opt])
else:
return [toks[0]] * mincount
def handleLiteral(toks):
lit = ""
for t in toks:
if t[0] == "\\":
if t[1] == "t":
lit += '\t'
else:
lit += t[1]
else:
lit += t
return LiteralEmitter(lit)
def handleMacro(toks):
macroChar = toks[0][1]
if macroChar == "d":
return CharacterRangeEmitter("0123456789")
elif macroChar == "w":
return CharacterRangeEmitter(srange("[A-Za-z0-9_]"))
elif macroChar == "s":
return LiteralEmitter(" ")
else:
raise ParseFatalException("",0,"unsupported macro character (" + macroChar + ")")
def handleSequence(toks):
return GroupEmitter(toks[0])
def handleDot():
return CharacterRangeEmitter(printables)
def handleAlternative(toks):
return AlternativeEmitter(toks[0])
_parser = None
def parser():
global _parser
if _parser is None:
ParserElement.setDefaultWhitespaceChars("")
lbrack,rbrack,lbrace,rbrace,lparen,rparen = map(Literal,"[]{}()")
reMacro = Combine("\\" + oneOf(list("dws")))
escapedChar = ~reMacro + Combine("\\" + oneOf(list(printables)))
reLiteralChar = "".join(c for c in printables if c not in r"\[]{}().*?+|") + " \t"
reRange = Combine(lbrack + SkipTo(rbrack,ignore=escapedChar) + rbrack)
reLiteral = ( escapedChar | oneOf(list(reLiteralChar)) )
reDot = Literal(".")
repetition = (
( lbrace + Word(nums).setResultsName("count") + rbrace ) |
( lbrace + Word(nums).setResultsName("minCount")+","+ Word(nums).setResultsName("maxCount") + rbrace ) |
oneOf(list("*+?"))
)
reRange.setParseAction(handleRange)
reLiteral.setParseAction(handleLiteral)
reMacro.setParseAction(handleMacro)
reDot.setParseAction(handleDot)
reTerm = ( reLiteral | reRange | reMacro | reDot )
reExpr = operatorPrecedence( reTerm,
[
(repetition, 1, opAssoc.LEFT, handleRepetition),
(None, 2, opAssoc.LEFT, handleSequence),
(Suppress('|'), 2, opAssoc.LEFT, handleAlternative),
]
)
_parser = reExpr
return _parser
def count(gen):
"""Simple function to count the number of elements returned by a generator."""
i = 0
for s in gen:
i += 1
return i
def invert(regex):
"""Call this routine as a generator to return all the strings that
match the input regular expression.
for s in invert("[A-Z]{3}\d{3}"):
print s
"""
invReGenerator = GroupEmitter(parser().parseString(regex)).makeGenerator()
return invReGenerator()
def main():
tests = r"""
[A-EA]
[A-D]*
[A-D]{3}
X[A-C]{3}Y
X[A-C]{3}\(
X\d
foobar\d\d
foobar{2}
foobar{2,9}
fooba[rz]{2}
(foobar){2}
([01]\d)|(2[0-5])
([01]\d\d)|(2[0-4]\d)|(25[0-5])
[A-C]{1,2}
[A-C]{0,3}
[A-C]\s[A-C]\s[A-C]
[A-C]\s?[A-C][A-C]
[A-C]\s([A-C][A-C])
[A-C]\s([A-C][A-C])?
[A-C]{2}\d{2}
@|TH[12]
@(@|TH[12])?
@(@|TH[12]|AL[12]|SP[123]|TB(1[0-9]?|20?|[3-9]))?
@(@|TH[12]|AL[12]|SP[123]|TB(1[0-9]?|20?|[3-9])|OH(1[0-9]?|2[0-9]?|30?|[4-9]))?
(([ECMP]|HA|AK)[SD]|HS)T
[A-CV]{2}
A[cglmrstu]|B[aehikr]?|C[adeflmorsu]?|D[bsy]|E[rsu]|F[emr]?|G[ade]|H[efgos]?|I[nr]?|Kr?|L[airu]|M[dgnot]|N[abdeiop]?|Os?|P[abdmortu]?|R[abefghnu]|S[bcegimnr]?|T[abcehilm]|Uu[bhopqst]|U|V|W|Xe|Yb?|Z[nr]
(a|b)|(x|y)
(a|b) (x|y)
""".split('\n')
for t in tests:
t = t.strip()
if not t: continue
print '-'*50
print t
try:
print count(invert(t))
for s in invert(t):
print s
except ParseFatalException,pfe:
print pfe.msg
print
continue
print
if __name__ == "__main__":
main()