构造一个哈希,其键由给定字符串的所有唯一子字符串组成,这些子字符串在字符串中至少出现两次(不重叠),并且对于每个键,值是字符串中所有偏移量的数组,其中值键(子字符串)的开头。
代码
def recurring_substrings(str)
arr = str.chars
(1..str.size/2).each_with_object({}) do |n,h|
arr.each_cons(n).map { |b| b.join }.uniq.each do |s|
str.scan(Regexp.new(s)) { (h[s] ||= []) << Regexp.last_match.begin(0) }
end
end.reject { |_,v| v.size == 1 }
end
示例
recurring_substrings 'abjkabrjkab'
#=> {"a"=>[0, 4, 9], "b"=>[1, 5, 10], "j"=>[2, 7], "k"=>[3, 8], "ab"=>[0, 4, 9],
# "jk"=>[2, 7], "ka"=>[3, 8], "jka"=>[2, 7], "kab"=>[3, 8], "jkab"=>[2, 7]}
recurring_substrings "abcabcabcabcabcdkkabclilabcoabcdieabcdowabcdppabzabx"
#=> {"a"=>[0, 3, 6, 9, 12, 18, 24, 28, 34, 40, 46, 49],
# "b"=>[1, 4, 7, 10, 13, 19, 25, 29, 35, 41, 47, 50],
# "c"=>[2, 5, 8, 11, 14, 20, 26, 30, 36, 42], "d"=>[15, 31, 37, 43],
# "k"=>[16, 17], "l"=>[21, 23], "i"=>[22, 32], "o"=>[27, 38], "p"=>[44, 45],
# "ab"=>[0, 3, 6, 9, 12, 18, 24, 28, 34, 40, 46, 49],
# "bc"=>[1, 4, 7, 10, 13, 19, 25, 29, 35, 41], "ca"=>[2, 5, 8, 11],
# "cd"=>[14, 30, 36, 42],
# "abc"=>[0, 3, 6, 9, 12, 18, 24, 28, 34, 40], "bca"=>[1, 4, 7, 10],
# "cab"=>[2, 5, 8, 11], "bcd"=>[13, 29, 35, 41],
# "abca"=>[0, 6], "bcab"=>[1, 7], "cabc"=>[2, 8], "abcd"=>[12, 28, 34, 40],
# "abcab"=>[0, 6], "bcabc"=>[1, 7], "cabca"=>[2, 8],
# "abcabc"=>[0, 6], "bcabca"=>[1, 7], "cabcab"=>[2, 8]}
说明
对于上面的第一个例子,步骤如下。
str = 'abjkabrjkab'
arr = str.chars
#=> ["a", "b", "j", "k", "a", "b", "r", "j", "k", "a", "b"]
q = str.size/2 # max size for string to repeat at least once
#=> 5
b = (1..q).each_with_object({})
#=> #<Enumerator: 1..5:each_with_object({})>
我们可以通过将枚举器转换为数组来查看该枚举器将生成哪些元素。 (下面我会多做几次。)
b.to_a
#=> [[1, {}], [2, {}], [3, {}], [4, {}], [5, {}]]
空的哈希值将随着计算的进行而建立。
接下来将第一个元素传递给块,并使用并行赋值(有时称为多重赋值)为其设置块变量。
n,h = b.next
#=> [1, {}]
n #=> 1
h #=> {}
c = arr.each_cons(n)
#=> #<Enumerator: ["a", "b", "j", "k", "a", "b", "r", "j", "k", "a", "b"]:each_cons(1)>
c 是一个包含所有长度为 1 的子字符串的数组。在下一次迭代中,它将是一个包含所有长度为 2 的子字符串的数组,依此类推。见Emumerable#each_cons。
c.to_a # Let's see which elements will be generated.
#=> [["a"], ["b"], ["j"], ["k"], ["a"], ["b"], ["r"], ["j"], ["k"], ["a"], ["b"]]
d = c.map { |b| b.join }
#=> ["a", "b", "j", "k", "a", "b", "r", "j", "k", "a", "b"]
e = d.uniq
#=> ["a", "b", "j", "k", "r"]
在下一次迭代中,这将是
r = arr.each_cons(2)
#=> #<Enumerator: ["a", "b", "j", "k", "a", "b", "r", "j", "k", "a", "b"]:
# each_cons(2)>
r.to_a
#=> [["a", "b"], ["b", "j"], ["j", "k"], ["k", "a"], ["a", "b"],
# ["b", "r"], ["r", "j"], ["j", "k"], ["k", "a"], ["a", "b"]]
s = r.map { |b| b.join }
#=> ["ab", "bj", "jk", "ka", "ab", "br", "rj", "jk", "ka", "ab"]
s.uniq
#=> ["ab", "bj", "jk", "ka", "br", "rj"]
继续,
f = e.each
#=> #<Enumerator: ["a", "b", "j", "k", "r"]:each>
f.to_a # Let's see which elements will be generated.
#=> ["a", "b", "j", "k", "r"]
s = f.next
#=> "a"
r = (Regexp.new(s))
#=> /a/
str.scan(r) { (h[s] ||= []) << Regexp.last_match.begin(0) }
如果h 还没有密钥s,h[s] #=> nil。扩展为h[s] = h[s] || [] 的h[s] ||= [] 在执行h[s] << Regexp.last_match.begin(0) 之前将h[s] 转换为空数组。即h[s] = h[s] || [] #=> nil || [] #=> []。
在块内,MatchData 对象使用类方法Regexp::last_match 检索。 (或者,可以将全局变量$~ 替换为Regexp.last_match。有关详细信息,请在Regexp 上搜索“特殊全局变量”。)MatchData#begin 返回当前匹配开始处str 的索引。
现在
h #=> {"a"=>[0, 4, 9]}
其余的计算类似,将键值对添加到h,直到构造了示例中给出的。