Automatyczne dopasowanie wyrażenia regularnego [zamknięte]

Napisz nietrywialne wyrażenie regularne pasujące do siebie.

Na przykład #.*$dopasuje komentarz poza ciągiem w pythonie do końca linii, a także dopasuje się do siebie w składni wyrażenia regularnego perl.

Zasady :

• Wyrażenie regularne musi robić coś pożytecznego lub praktycznego.
• Powiedz, jakiej składni wyrażenia regularnego używasz (np. Perl lub POSIX).
• Zwycięzca to najwyżej oceniona odpowiedź zgodna.
• Bądź kreatywny!

/(^|[^/])\/(?!\/)(\[.+?]|\\.|[^/\r\n])+\/[gim]{0,3}(?=\s*($|[\r\n,.;})]))/g

Skradzione z https://github.com/LeaVerou/prism/blob/gh-pages/components/prism-javascript.js . To powinno pasować (w JavaScript) do wszystkich wyrażeń regularnych JavaScript.

PYTON

Poniżej znajduje się pasujący generator wyrażeń regularnych. Podajesz dwie listy, jedna zawiera dane treningowe, które wyrażenie regularne powinno pasować (oprócz samego dopasowania), druga zawiera dane treningowe, których wyrażenie regularne NIE powinno pasować:

from random import choice, randrange
import re
from itertools import zip_longest, chain, islice
from operator import itemgetter

CHAR_SET = [chr(i) for i in range(128)] + [r"\\", r"\d", r"\D",
                                           r"\w", r"\W", r"\s",
                                           r"\S", r"?:", r"\1",
                                           r"\2", r"\A", r"\b",
                                           r"\B", r"\Z", r"\.",
                                           r"\[", r"\]", r"\(",
                                           r"\)", r"\{", r"\}",
                                           r"\+", r"\|", r"\?",
                                           r"\*"]

CHAR_SAMPLE = []
BREAKPOINT = re.compile(
    r"""
    \(.*?\)|
    \[.*?\]|
    \{.*?\}|
    \w+(?=[\(\[\{])?|
    \S+?|
    \.\*\??|
    \.\+\??|
    \.\?\??|
    \\.|
    .*?
    """,
    re.VERBOSE)

MATCH_BRACKETS = {'(': ')', '[': ']', '{': '}'}
CLOSE_BRACKETS = {')', ']', '}'}
REGEX_SEEDER = [
    r".*?",
    r"(?:.*?)",
    r"\w|\s",
    r"(?<.*?)",
    r"(?=.*?)",
    r"(?!.*?)",
    r"(?<=.*?)",
    r"(?<!.*?)",
    ]

LEN_LIMIT = 100

def distribute(distribution):
    global CHAR_SAMPLE
    for item in CHAR_SET:
        if item in distribution:
            CHAR_SAMPLE.extend([item] * distribution[item])
        else:
            CHAR_SAMPLE.append(item)

def rand_index(seq, stop=None):
    if stop is None:
        stop = len(seq)
    try:
        return randrange(0, stop)
    except ValueError:
        return 0

def rand_slice(seq):
    try:
        start = randrange(0, len(seq))
        stop = randrange(start, len(seq))
        return slice(start, stop)
    except ValueError:
        return slice(0,  0)


#Mutation Functions

def replace(seq):
    seq[rand_index(seq)] = choice(CHAR_SAMPLE)

def delete(seq):
    del seq[rand_index(seq)]

def insert(seq):
    seq.insert(rand_index(seq, len(seq) + 1), choice(CHAR_SAMPLE))

def duplicate(seq):
    source = rand_slice(seq)
    seq[source.stop: source.stop] = seq[source]

def swap(seq):
    if len(seq) < 2: return
    a = rand_index(seq, len(seq) - 1)
    seq[a], seq[a + 1] = seq[a + 1], seq[a]

dummy = lambda seq: None

MUTATE = (
    replace,
    delete,
    insert,
    duplicate,
    swap,
    dummy,
    dummy,
    )

def repair_brackets(seq):
    """Attempts to lower the percentage of invalid regexes by
    matching orphaned brackets"""

    p_stack, new_seq = [], []
    for item in seq:
        if item in MATCH_BRACKETS:
            p_stack.append(item)
        elif item in CLOSE_BRACKETS:
            while p_stack and MATCH_BRACKETS[p_stack[-1]] != item:
                new_seq.append(MATCH_BRACKETS[p_stack[-1]])
                p_stack.pop()
            if not p_stack:
                continue
            else:
                p_stack.pop()
        new_seq.append(item)
    while p_stack:
        new_seq.append(MATCH_BRACKETS[p_stack.pop()])
    return new_seq

def compress(seq):
    new_seq = [seq[0]]
    last_match = seq[0]
    repeat = 1
    for item in islice(seq, 1, len(seq)):
        if item == last_match:
            repeat += 1
        else:
            if repeat > 1:
                new_seq.extend(list("{{{0}}}".format(repeat)))
            new_seq.append(item)
            last_match = item
            repeat = 1
    else:
        if repeat > 1:
            new_seq.extend(list("{{{0}}}".format(repeat)))
    return new_seq


def mutate(seq):
    """Random in-place mutation of sequence"""
    if len(seq) > LEN_LIMIT:
        seq[:] = seq[:LEN_LIMIT]
    c = choice(MUTATE)
    c(seq)

def crossover(seqA, seqB):
    """Recombination of two sequences at optimal breakpoints
    along each regex strand"""

    bpA = [item.start() for item in BREAKPOINT.finditer(''.join(seqA))]
    bpB = [item.start() for item in BREAKPOINT.finditer(''.join(seqA))]
    slObjA = (slice(*item) for item in zip(bpA, bpA[1:]))
    slObjB = (slice(*item) for item in zip(bpB, bpB[1:]))
    slices = zip_longest(
        (seqA[item] for item in slObjA),
        (seqB[item] for item in slObjB),
        fillvalue=[]
        )
    recombinant = (choice(item) for item in slices)
    return list(chain.from_iterable(recombinant))

#Fitness testing

def match_percentage(match):
    """Calculates the percentage a text actually matched
    by a regular expression"""

    if match and match.endpos:
        return (match.end() - match.start()) / match.endpos
    else:
        return 0.001

def fitness_test(seq, pos_matches, neg_matches):
    """Scoring algorithm to determine regex fitness"""

    try:
        self_str = ''.join(seq)
        regex = re.compile(self_str)
    except (re.error, IndexError):
        seq[:] = repair_brackets(seq)
        try:
            self_str = ''.join(seq)
            regex = re.compile(self_str)
        except (re.error, IndexError):
            return 0.001

    pos_score = sum(match_percentage(regex.search(item))
                    for item in pos_matches) / len(pos_matches) / 3

    neg_score = (1 - sum(match_percentage(regex.search(item))
                    for item in neg_matches) / len(neg_matches)) / 3

    self_score = match_percentage(regex.search(self_str)) / 3

    return pos_score + self_score + neg_score

#Population Management

def generate_pop(pos_matches, neg_matches, pop_size):
    sources = (pos_matches, REGEX_SEEDER)
    return [crossover(
        choice(choice(sources)), choice(choice(sources))
        ) for i in range(pop_size)]

def glean_pop(population, cutoff, fit_test, ft_args=()):
    scores = (fit_test(bug, *ft_args) for bug in population)
    ranked = sorted(zip(population, scores), key=itemgetter(1), reverse=True)
    maxItem = ranked[0]
    new_pop = next(zip(*ranked))[:cutoff]
    return maxItem, new_pop

def repopulate(population, pop_size):
    cutoff = len(population)
    for i in range(pop_size // cutoff):
        population.extend([crossover(choice(population), choice(population))
                           for i in range(cutoff)])
    population.extend([population[i][:] for i in range(pop_size - len(population))])

#Simulator
def simulate(pos_matches, neg_matches, pop_size=50, cutoff=10, threshold=1.0):
    population = generate_pop(pos_matches, neg_matches, pop_size)
    while True:
        for bug in population:
            mutate(bug)

        #Scoring step
        max_item, population = glean_pop(
            population,
            cutoff,
            fitness_test,
            (pos_matches, neg_matches)
            )

        #Exit condition:
        max_regex, max_score = max_item
        if max_score >= threshold:
            return max_score, max_regex
        """
        print(max_score, ''.join(max_regex))
        input("next?")"""

        #Repopulation Step:
        population = list(population)
        repopulate(population, pop_size)

Wyrażenie regularne JavaScript, które pasuje do podobnych rzeczy.

/^\/\^\\\/\\\^[\\\[\]\/\^\${},\dd]{34}$/

Możesz to przetestować w następujący sposób:

(function test() {
    var re =/^\/\^\\\/\\\^[\\\[\]\/\^\${},\dd]{34}$/;
    var m  =/=([^;]+)/.exec(test)[1];
    return re.exec(m);
})();