在解决Hackkerank(https://www.hackerrank.com/challenges/string-compression/problem)的问题时,我已经编写了2个带或不带传感器的实现。
我期望传感器实现比函数链运算符->>
更快。不幸的是,根据我的迷你基准测试,链接操作符的性能比传感器好2.5倍。
我在想,我应尽可能使用传感器。或者我没有正确理解传感器的概念?
时间:
"经历时间:0.844459 msecs"
"经历时间:2.697836 msecs"
代码:
(defn string-compression-2
[s]
(->> s
(partition-by identity)
(mapcat #(if (> (count %) 1)
(list (first %) (count %))
(list (first %))))
(apply str)))
(def xform-str-compr
(comp (partition-by identity)
(mapcat #(if (> (count %) 1)
(list (first %) (count %))
(list (first %))))))
(defn string-compression-3
[s]
(transduce xform-str-compr str s))
(time (string-compression-2 "aaabccdddd"))
(time (string-compression-3 "aaabccdddd"))
答案 0 :(得分:6)
根据Criterium:
,传感器版本看起来确实更快(crit/quick-bench (string-compression-2 "aaabccdddd"))
Execution time mean : 6.150477 µs
Execution time std-deviation : 246.740784 ns
Execution time lower quantile : 5.769961 µs ( 2.5%)
Execution time upper quantile : 6.398563 µs (97.5%)
Overhead used : 1.620718 ns
(crit/quick-bench (string-compression-3 "aaabccdddd"))
Execution time mean : 2.533919 µs
Execution time std-deviation : 157.594154 ns
Execution time lower quantile : 2.341610 µs ( 2.5%)
Execution time upper quantile : 2.704182 µs (97.5%)
Overhead used : 1.620718 ns
正如coredump评论的那样,一个样本大小不足以说明一种方法通常比另一种方法更快。