Add benchmarks to README
[frak.git] / README.md
1 # frak
2
3 frak transforms collections of strings into regular expressions for
4 matching those strings. The primary goal of this library is to
5 generate regular expressions from a known set of inputs which avoid
6 backtracking as much as possible.
7
8 ## "Installation"
9
10 Add frak as a dependency to your `project.clj` file.
11
12 ```clojure
13 [frak "0.1.1"]
14 ```
15
16 ## Usage
17
18 ```clojure
19 user> (require 'frak)
20 nil
21 user> (frak/pattern ["foo" "bar" "baz" "quux"])
22 #"(?:ba(?:r|z)|foo|quux)"
23 user> (frak/pattern ["Clojure" "Clojars" "ClojureScript"])
24 #"Cloj(?:ure(?:Script)?|ars)"
25 ```
26
27 ## How?
28
29 A frak pattern is constructed from a very stupid trie of characters.
30 As characters are added to it, meta data is stored in it's branches.
31 The meta data contains information such as which branches are terminal
32 and a record of characters which have "visited" the branch.
33
34 During the rendering process frak will prefer branch characters that
35 have "visited" the most. In the example above, you will notice the
36 `ba(?:r|z)` branch takes precedence over `foo` even though `"foo"` was
37 the first to enter the trie. This is because the character `\b` has
38 frequented the branch more than `\f` and `\q`. The example below
39 illustrates this behavior on the second character of each input.
40
41 ```clojure
42 user> (frak/pattern ["bit" "bat" "ban" "bot" "bar" "box"])
43 #"b(?:a(?:t|n|r)|o(?:t|x)|it)"
44 ```
45
46 ## Why?
47
48 [Here's](https://github.com/guns/vim-clojure-static/blob/249328ee659190babe2b14cd119f972b21b80538/syntax/clojure.vim#L91-L92)
49 why. Also because.
50
51 ## And now for something completely different
52
53 Let's build a regular expression for matching any word in
54 `/usr/share/dict/words`.
55
56 ```clojure
57 user> (require '[clojure.java.io :as io])
58 nil
59 user> (def words
60 (-> (io/file "/usr/share/dict/words")
61 io/reader
62 line-seq))
63 #'user/words
64 user> (def word-re (frak/pattern words))
65 #'user/word-re
66 user> (every? #(re-matches word-re %) words)
67 true
68 ```
69
70 You can view the full expression
71 [here](https://gist.github.com/noprompt/6106573/raw/fcb683834bb2e171618ca91bf0b234014b5b957d/word-re.clj)
72 (it's approximately `1.5M`!).
73
74 ## Benchmarks
75
76 ```clojure
77 (use 'criterium.core)
78
79 (def words
80 (-> (io/file "/usr/share/dict/words")
81 io/reader
82 line-seq))
83
84 (defn naive-pattern
85 "Create a naive regular expression pattern for matching every string
86 in strs."
87 [strs]
88 (->> strs
89 (clojure.string/join "|")
90 (format "(?:%s)")))
91
92 ;; Shuffle 10000 words and build a naive and frak pattern from them.
93 (def ws (shuffle (take 10000 words)))
94 (def n-pat (naive-pattern ws))
95 (def f-pat (frak/pattern ws))
96
97 ;; Verify the naive pattern matches everything it was constructed from.
98 (every? #(re-matches n-pat %) ws)
99 ;; => true
100
101 ;; Shuffle the words again since the naive pattern is built in the
102 ;; same order as it's inputs.
103 (def ws' (shuffle ws))
104
105 ;;;; Benchmarks
106
107 ;; Naive pattern
108
109 (bench (doseq [w ws'] (re-matches n-pat w)))
110
111 ;; Execution time mean : 1.499489 sec
112 ;; Execution time std-deviation : 181.365166 ms
113 ;; Execution time lower quantile : 1.337817 sec ( 2.5%)
114 ;; Execution time upper quantile : 1.828733 sec (97.5%)
115
116 ;; frak pattern
117
118 (bench (doseq [w ws'] (re-matches f-pat w)))
119 ;; Execution time mean : 155.515855 ms
120 ;; Execution time std-deviation : 5.663346 ms
121 ;; Execution time lower quantile : 148.168855 ms ( 2.5%)
122 ;; Execution time upper quantile : 164.164294 ms (97.5%)
123 ```