Bhu*_*dha 2 ruby algorithm performance string-matching
我有这两个字符串string1和string2.什么是检查,如果我最好的选择string2是目前在string1.我如何在Ruby中实现.目前我正在使用Regex比赛.
1.9.3p194 :016 > Benchmark.measure{ 1_000_000.times{ 'asd'['a'] } }
=> 0.430000 0.000000 0.430000 ( 0.431638)
1.9.3p194 :017 > Benchmark.measure{ 1_000_000.times{ 'asd' =~ /a/ } }
=> 0.420000 0.000000 0.420000 ( 0.415391)
1.9.3p194 :018 > Benchmark.measure{ 1_000_000.times{ 'asd'.include? 'a' } }
=> 0.340000 0.000000 0.340000 ( 0.343843)
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令人惊讶的是,count('a') > 0给了我很好的结果:
1.9.3p194 :031 > Benchmark.measure{ 10_000_000.times{ 'asd'.count('a') > 0 } }
=> 3.100000 0.000000 3.100000 ( 3.099447)
1.9.3p194 :032 > Benchmark.measure{ 10_000_000.times{ 'asd'.include?('a') } }
=> 3.220000 0.000000 3.220000 ( 3.226521)
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但:
# count('a') > 0
1.9.3p194 :056 > Benchmark.measure{ 10_000_000.times{ 'asdrsguoing93hafehbsefu3nr3wrbibaefiafb3uwfniw4ufnsbei'.count('a') > 0 } }
=> 3.630000 0.000000 3.630000 ( 3.633329)
# include?('a')
1.9.3p194 :057 > Benchmark.measure{ 10_000_000.times{ 'asdrsguoing93hafehbsefu3nr3wrbibaefiafb3uwfniw4ufnsbei'.include?('a') } }
=> 3.220000 0.000000 3.220000 ( 3.224986)
# =~ /a/
1.9.3p194 :058 > Benchmark.measure{ 10_000_000.times{ 'asdrsguoing93hafehbsefu3nr3wrbibaefiafb3uwfniw4ufnsbei' =~ /a/ } }
=> 3.040000 0.000000 3.040000 ( 3.043130)
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所以:严格谈论性能,你应该考虑你的字符串的分布(很少是随机的)进行测试.谈论表现力,也许include?是最好的选择.