jellyfish/benchmarks/timedruns-old.csv

1	3.10.7	0.10-classic	c	damerau_levenshtein_distance	4.3809779200000775e-07
2	3.10.7	0.10-classic	c	hamming_distance	8.937791700009256e-08
3	3.10.7	0.10-classic	c	jaro_similarity	2.503094580006291e-07
4	3.10.7	0.10-classic	c	jaro_winkler_similarity	1.972025830000348e-07
5	3.10.7	0.10-classic	c	levenshtein_distance	1.5478662499936037e-07
6	3.10.7	0.10-classic	c	match_rating_codex	2.1903375000056258e-07
7	3.10.7	0.10-classic	c	match_rating_comparison	3.148877909998191e-07
8	3.10.7	0.10-classic	c	metaphone	3.495554169994648e-07
9	3.10.7	0.10-classic	c	nysiis	2.2051829199972418e-07
10	3.10.7	0.10-classic	c	soundex	2.6794874999995953e-07
11	3.10.7	0.10-classic	python	damerau_levenshtein_distance	3.269755224999972e-05
12	3.10.7	0.10-classic	python	hamming_distance	4.6421708400066563e-07
13	3.10.7	0.10-classic	python	jaro_similarity	8.32981374999963e-06
14	3.10.7	0.10-classic	python	jaro_winkler_similarity	3.957727625000189e-06
15	3.10.7	0.10-classic	python	levenshtein_distance	4.634622290999687e-06
16	3.10.7	0.10-classic	python	match_rating_codex	6.073832079991917e-07
17	3.10.7	0.10-classic	python	match_rating_comparison	2.1926620000003824e-06
18	3.10.7	0.10-classic	python	metaphone	2.464329958000235e-06
19	3.10.7	0.10-classic	python	nysiis	1.960830291000093e-06
20	3.10.7	0.10-classic	python	soundex	1.4157104160003654e-06