如果我这样说的话。
There is a lot of white space.
我也想去除鲁比斯群岛的所有不想要的空间。 你们如何确定白色空间并去除这一空间,以便在所有语种之间至少有一个白色空间?
到目前为止,我有:
gsub(/s{2,}/, )
但是,正如你能够看到,这 words倒了几个词。
如果我这样说的话。
There is a lot of white space.
我也想去除鲁比斯群岛的所有不想要的空间。 你们如何确定白色空间并去除这一空间,以便在所有语种之间至少有一个白色空间?
到目前为止,我有:
gsub(/s{2,}/, )
但是,正如你能够看到,这 words倒了几个词。
你结束发言。 在左边和右边穿透白色后,
str.strip.gsub(/s{2,}/, )
用单一空间取代任何多空间。 当然,这假设你只处理实际空间。
早在我撰写《佩勒法典》时,我就一直为我所操纵的操纵行为 gr污定期表达。 然后,一天,我想要制定一些正在搜索和修饰内容的法典,并写了一个基准,比较一些校外和标准校外搜查。 以指数为依据的搜索波及格外。 它既复杂又有时在处理简单问题时不需要老练。
不要立即 gr一个<代码>String.squeeze(>” ,而是能够更快地处理反复的空间压缩问题。 2. 审议基准的产出:
#!/usr/bin/env ruby require benchmark asdf = There is a lot of white space. asdf.squeeze( ) # => "There is a lot of white space." asdf.gsub(/ +/, ) # => "There is a lot of white space." asdf.gsub(/ {2,}/, ) # => "There is a lot of white space." asdf.gsub(/ss+/, ) # => "There is a lot of white space." asdf.gsub(/s{2,}/, ) # => "There is a lot of white space." n = 500000 Benchmark.bm(8) do |x| x.report( squeeze: ) { n.times{ asdf.squeeze( ) } } x.report( gsub1: ) { n.times{ asdf.gsub(/ +/, ) } } x.report( gsub2: ) { n.times{ asdf.gsub(/ {2,}/, ) } } x.report( gsub3: ) { n.times{ asdf.gsub(/ss+/, ) } } x.report( gsub4: ) { n.times{ asdf.gsub(/s{2,}/, ) } } end puts puts "long strings" n = 1000 str_x = 1000 Benchmark.bm(8) do |x| x.report( squeeze: ) { n.times{(asdf * str_x).squeeze( ) }} x.report( gsub1: ) { n.times{(asdf * str_x).gsub(/ +/, ) }} x.report( gsub2: ) { n.times{(asdf * str_x).gsub(/ {2,}/, ) }} x.report( gsub3: ) { n.times{(asdf * str_x).gsub(/ss+/, ) }} x.report( gsub4: ) { n.times{(asdf * str_x).gsub(/s{2,}/, ) }} end # >> user system total real # >> squeeze: 1.050000 0.000000 1.050000 ( 1.055833) # >> gsub1: 3.700000 0.020000 3.720000 ( 3.731957) # >> gsub2: 3.960000 0.010000 3.970000 ( 3.980328) # >> gsub3: 4.520000 0.020000 4.540000 ( 4.549919) # >> gsub4: 4.840000 0.010000 4.850000 ( 4.860474) # >> # >> long strings # >> user system total real # >> squeeze: 0.310000 0.180000 0.490000 ( 0.485224) # >> gsub1: 3.420000 0.130000 3.550000 ( 3.554505) # >> gsub2: 3.850000 0.120000 3.970000 ( 3.974213) # >> gsub3: 4.880000 0.130000 5.010000 ( 5.015750) # >> gsub4: 5.310000 0.150000 5.460000 ( 5.461797)
测试依据的是<代码>squeeze( )或gsub(>
, 缩小了重复的空间。 正如我所期望的那样,蒸.( )使reg灭。 使用空间特性的登记比使用<代码><>/代码>的等值格式更快。
当然,监管机构比较灵活,但想到是否需要一个管理机构能够大大改变贵国法典的处理速度。
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