diff --git a/benchmarks/compare.ipynb b/benchmarks/compare.ipynb
index 959f014..b9923a5 100644
--- a/benchmarks/compare.ipynb
+++ b/benchmarks/compare.ipynb
@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
@@ -13,7 +13,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 36,
"metadata": {},
"outputs": [],
"source": [
@@ -22,7 +22,7 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 37,
"metadata": {},
"outputs": [
{
@@ -57,7 +57,7 @@
"
\n",
" 0 | \n",
" 3.10.7 | \n",
- " 0.10 | \n",
+ " 0.10-classic | \n",
" c | \n",
" damerau_levenshtein_distance | \n",
" 4.380978e-07 | \n",
@@ -65,7 +65,7 @@
"
\n",
" 1 | \n",
" 3.10.7 | \n",
- " 0.10 | \n",
+ " 0.10-classic | \n",
" c | \n",
" hamming_distance | \n",
" 8.937792e-08 | \n",
@@ -73,7 +73,7 @@
"
\n",
" 2 | \n",
" 3.10.7 | \n",
- " 0.10 | \n",
+ " 0.10-classic | \n",
" c | \n",
" jaro_similarity | \n",
" 2.503095e-07 | \n",
@@ -81,7 +81,7 @@
"
\n",
" 3 | \n",
" 3.10.7 | \n",
- " 0.10 | \n",
+ " 0.10-classic | \n",
" c | \n",
" jaro_winkler_similarity | \n",
" 1.972026e-07 | \n",
@@ -89,7 +89,7 @@
"
\n",
" 4 | \n",
" 3.10.7 | \n",
- " 0.10 | \n",
+ " 0.10-classic | \n",
" c | \n",
" levenshtein_distance | \n",
" 1.547866e-07 | \n",
@@ -97,7 +97,7 @@
"
\n",
" 5 | \n",
" 3.10.7 | \n",
- " 0.10 | \n",
+ " 0.10-classic | \n",
" c | \n",
" match_rating_codex | \n",
" 2.190338e-07 | \n",
@@ -105,7 +105,7 @@
"
\n",
" 6 | \n",
" 3.10.7 | \n",
- " 0.10 | \n",
+ " 0.10-classic | \n",
" c | \n",
" match_rating_comparison | \n",
" 3.148878e-07 | \n",
@@ -113,7 +113,7 @@
"
\n",
" 7 | \n",
" 3.10.7 | \n",
- " 0.10 | \n",
+ " 0.10-classic | \n",
" c | \n",
" metaphone | \n",
" 3.495554e-07 | \n",
@@ -121,7 +121,7 @@
"
\n",
" 8 | \n",
" 3.10.7 | \n",
- " 0.10 | \n",
+ " 0.10-classic | \n",
" c | \n",
" nysiis | \n",
" 2.205183e-07 | \n",
@@ -129,7 +129,7 @@
"
\n",
" 9 | \n",
" 3.10.7 | \n",
- " 0.10 | \n",
+ " 0.10-classic | \n",
" c | \n",
" soundex | \n",
" 2.679487e-07 | \n",
@@ -137,7 +137,7 @@
"
\n",
" 10 | \n",
" 3.10.7 | \n",
- " 0.10 | \n",
+ " 0.10-classic | \n",
" python | \n",
" damerau_levenshtein_distance | \n",
" 3.269755e-05 | \n",
@@ -145,7 +145,7 @@
"
\n",
" 11 | \n",
" 3.10.7 | \n",
- " 0.10 | \n",
+ " 0.10-classic | \n",
" python | \n",
" hamming_distance | \n",
" 4.642171e-07 | \n",
@@ -153,7 +153,7 @@
"
\n",
" 12 | \n",
" 3.10.7 | \n",
- " 0.10 | \n",
+ " 0.10-classic | \n",
" python | \n",
" jaro_similarity | \n",
" 8.329814e-06 | \n",
@@ -161,7 +161,7 @@
"
\n",
" 13 | \n",
" 3.10.7 | \n",
- " 0.10 | \n",
+ " 0.10-classic | \n",
" python | \n",
" jaro_winkler_similarity | \n",
" 3.957728e-06 | \n",
@@ -169,7 +169,7 @@
"
\n",
" 14 | \n",
" 3.10.7 | \n",
- " 0.10 | \n",
+ " 0.10-classic | \n",
" python | \n",
" levenshtein_distance | \n",
" 4.634622e-06 | \n",
@@ -177,7 +177,7 @@
"
\n",
" 15 | \n",
" 3.10.7 | \n",
- " 0.10 | \n",
+ " 0.10-classic | \n",
" python | \n",
" match_rating_codex | \n",
" 6.073832e-07 | \n",
@@ -185,7 +185,7 @@
"
\n",
" 16 | \n",
" 3.10.7 | \n",
- " 0.10 | \n",
+ " 0.10-classic | \n",
" python | \n",
" match_rating_comparison | \n",
" 2.192662e-06 | \n",
@@ -193,7 +193,7 @@
"
\n",
" 17 | \n",
" 3.10.7 | \n",
- " 0.10 | \n",
+ " 0.10-classic | \n",
" python | \n",
" metaphone | \n",
" 2.464330e-06 | \n",
@@ -201,7 +201,7 @@
"
\n",
" 18 | \n",
" 3.10.7 | \n",
- " 0.10 | \n",
+ " 0.10-classic | \n",
" python | \n",
" nysiis | \n",
" 1.960830e-06 | \n",
@@ -209,7 +209,7 @@
"
\n",
" 19 | \n",
" 3.10.7 | \n",
- " 0.10 | \n",
+ " 0.10-classic | \n",
" python | \n",
" soundex | \n",
" 1.415710e-06 | \n",
@@ -294,42 +294,312 @@
" soundex | \n",
" 3.967762e-07 | \n",
"
\n",
+ " \n",
+ " 10 | \n",
+ " 3.10.7 | \n",
+ " 0.11 | \n",
+ " rust | \n",
+ " damerau_levenshtein_distance | \n",
+ " 2.992801e-06 | \n",
+ "
\n",
+ " \n",
+ " 11 | \n",
+ " 3.10.7 | \n",
+ " 0.11 | \n",
+ " rust | \n",
+ " hamming_distance | \n",
+ " 2.597306e-07 | \n",
+ "
\n",
+ " \n",
+ " 12 | \n",
+ " 3.10.7 | \n",
+ " 0.11 | \n",
+ " rust | \n",
+ " jaro_similarity | \n",
+ " 8.853471e-07 | \n",
+ "
\n",
+ " \n",
+ " 13 | \n",
+ " 3.10.7 | \n",
+ " 0.11 | \n",
+ " rust | \n",
+ " jaro_winkler_similarity | \n",
+ " 5.016982e-07 | \n",
+ "
\n",
+ " \n",
+ " 14 | \n",
+ " 3.10.7 | \n",
+ " 0.11 | \n",
+ " rust | \n",
+ " levenshtein_distance | \n",
+ " 5.396300e-07 | \n",
+ "
\n",
+ " \n",
+ " 15 | \n",
+ " 3.10.7 | \n",
+ " 0.11 | \n",
+ " rust | \n",
+ " match_rating_codex | \n",
+ " 4.354181e-07 | \n",
+ "
\n",
+ " \n",
+ " 16 | \n",
+ " 3.10.7 | \n",
+ " 0.11 | \n",
+ " rust | \n",
+ " match_rating_comparison | \n",
+ " 7.831389e-07 | \n",
+ "
\n",
+ " \n",
+ " 17 | \n",
+ " 3.10.7 | \n",
+ " 0.11 | \n",
+ " rust | \n",
+ " metaphone | \n",
+ " 4.821764e-07 | \n",
+ "
\n",
+ " \n",
+ " 18 | \n",
+ " 3.10.7 | \n",
+ " 0.11 | \n",
+ " rust | \n",
+ " nysiis | \n",
+ " 6.275171e-07 | \n",
+ "
\n",
+ " \n",
+ " 19 | \n",
+ " 3.10.7 | \n",
+ " 0.11 | \n",
+ " rust | \n",
+ " soundex | \n",
+ " 3.946941e-07 | \n",
+ "
\n",
+ " \n",
+ " 20 | \n",
+ " 3.10.7 | \n",
+ " 0.11 | \n",
+ " rust | \n",
+ " damerau_levenshtein_distance | \n",
+ " 2.936923e-06 | \n",
+ "
\n",
+ " \n",
+ " 21 | \n",
+ " 3.10.7 | \n",
+ " 0.11 | \n",
+ " rust | \n",
+ " hamming_distance | \n",
+ " 2.577235e-07 | \n",
+ "
\n",
+ " \n",
+ " 22 | \n",
+ " 3.10.7 | \n",
+ " 0.11 | \n",
+ " rust | \n",
+ " jaro_similarity | \n",
+ " 8.769623e-07 | \n",
+ "
\n",
+ " \n",
+ " 23 | \n",
+ " 3.10.7 | \n",
+ " 0.11 | \n",
+ " rust | \n",
+ " jaro_winkler_similarity | \n",
+ " 5.051285e-07 | \n",
+ "
\n",
+ " \n",
+ " 24 | \n",
+ " 3.10.7 | \n",
+ " 0.11 | \n",
+ " rust | \n",
+ " levenshtein_distance | \n",
+ " 5.180997e-07 | \n",
+ "
\n",
+ " \n",
+ " 25 | \n",
+ " 3.10.7 | \n",
+ " 0.11 | \n",
+ " rust | \n",
+ " match_rating_codex | \n",
+ " 4.162180e-07 | \n",
+ "
\n",
+ " \n",
+ " 26 | \n",
+ " 3.10.7 | \n",
+ " 0.11 | \n",
+ " rust | \n",
+ " match_rating_comparison | \n",
+ " 7.668212e-07 | \n",
+ "
\n",
+ " \n",
+ " 27 | \n",
+ " 3.10.7 | \n",
+ " 0.11 | \n",
+ " rust | \n",
+ " metaphone | \n",
+ " 4.725069e-07 | \n",
+ "
\n",
+ " \n",
+ " 28 | \n",
+ " 3.10.7 | \n",
+ " 0.11 | \n",
+ " rust | \n",
+ " nysiis | \n",
+ " 6.123398e-07 | \n",
+ "
\n",
+ " \n",
+ " 29 | \n",
+ " 3.10.7 | \n",
+ " 0.11 | \n",
+ " rust | \n",
+ " soundex | \n",
+ " 3.931272e-07 | \n",
+ "
\n",
+ " \n",
+ " 30 | \n",
+ " 3.10.7 | \n",
+ " 0.11-dev | \n",
+ " rust | \n",
+ " damerau_levenshtein_distance | \n",
+ " 2.899024e-06 | \n",
+ "
\n",
+ " \n",
+ " 31 | \n",
+ " 3.10.7 | \n",
+ " 0.11-dev | \n",
+ " rust | \n",
+ " hamming_distance | \n",
+ " 2.679504e-07 | \n",
+ "
\n",
+ " \n",
+ " 32 | \n",
+ " 3.10.7 | \n",
+ " 0.11-dev | \n",
+ " rust | \n",
+ " jaro_similarity | \n",
+ " 8.918526e-07 | \n",
+ "
\n",
+ " \n",
+ " 33 | \n",
+ " 3.10.7 | \n",
+ " 0.11-dev | \n",
+ " rust | \n",
+ " jaro_winkler_similarity | \n",
+ " 5.291077e-07 | \n",
+ "
\n",
+ " \n",
+ " 34 | \n",
+ " 3.10.7 | \n",
+ " 0.11-dev | \n",
+ " rust | \n",
+ " levenshtein_distance | \n",
+ " 3.289318e-07 | \n",
+ "
\n",
+ " \n",
+ " 35 | \n",
+ " 3.10.7 | \n",
+ " 0.11-dev | \n",
+ " rust | \n",
+ " match_rating_codex | \n",
+ " 4.252852e-07 | \n",
+ "
\n",
+ " \n",
+ " 36 | \n",
+ " 3.10.7 | \n",
+ " 0.11-dev | \n",
+ " rust | \n",
+ " match_rating_comparison | \n",
+ " 8.167230e-07 | \n",
+ "
\n",
+ " \n",
+ " 37 | \n",
+ " 3.10.7 | \n",
+ " 0.11-dev | \n",
+ " rust | \n",
+ " metaphone | \n",
+ " 5.095754e-07 | \n",
+ "
\n",
+ " \n",
+ " 38 | \n",
+ " 3.10.7 | \n",
+ " 0.11-dev | \n",
+ " rust | \n",
+ " nysiis | \n",
+ " 6.351890e-07 | \n",
+ "
\n",
+ " \n",
+ " 39 | \n",
+ " 3.10.7 | \n",
+ " 0.11-dev | \n",
+ " rust | \n",
+ " soundex | \n",
+ " 4.054403e-07 | \n",
+ "
\n",
" \n",
"\n",
""
],
"text/plain": [
- " py_version jf_version implementation function \\\n",
- "0 3.10.7 0.10 c damerau_levenshtein_distance \n",
- "1 3.10.7 0.10 c hamming_distance \n",
- "2 3.10.7 0.10 c jaro_similarity \n",
- "3 3.10.7 0.10 c jaro_winkler_similarity \n",
- "4 3.10.7 0.10 c levenshtein_distance \n",
- "5 3.10.7 0.10 c match_rating_codex \n",
- "6 3.10.7 0.10 c match_rating_comparison \n",
- "7 3.10.7 0.10 c metaphone \n",
- "8 3.10.7 0.10 c nysiis \n",
- "9 3.10.7 0.10 c soundex \n",
- "10 3.10.7 0.10 python damerau_levenshtein_distance \n",
- "11 3.10.7 0.10 python hamming_distance \n",
- "12 3.10.7 0.10 python jaro_similarity \n",
- "13 3.10.7 0.10 python jaro_winkler_similarity \n",
- "14 3.10.7 0.10 python levenshtein_distance \n",
- "15 3.10.7 0.10 python match_rating_codex \n",
- "16 3.10.7 0.10 python match_rating_comparison \n",
- "17 3.10.7 0.10 python metaphone \n",
- "18 3.10.7 0.10 python nysiis \n",
- "19 3.10.7 0.10 python soundex \n",
- "0 3.10.7 0.11 rust damerau_levenshtein_distance \n",
- "1 3.10.7 0.11 rust hamming_distance \n",
- "2 3.10.7 0.11 rust jaro_similarity \n",
- "3 3.10.7 0.11 rust jaro_winkler_similarity \n",
- "4 3.10.7 0.11 rust levenshtein_distance \n",
- "5 3.10.7 0.11 rust match_rating_codex \n",
- "6 3.10.7 0.11 rust match_rating_comparison \n",
- "7 3.10.7 0.11 rust metaphone \n",
- "8 3.10.7 0.11 rust nysiis \n",
- "9 3.10.7 0.11 rust soundex \n",
+ " py_version jf_version implementation function \\\n",
+ "0 3.10.7 0.10-classic c damerau_levenshtein_distance \n",
+ "1 3.10.7 0.10-classic c hamming_distance \n",
+ "2 3.10.7 0.10-classic c jaro_similarity \n",
+ "3 3.10.7 0.10-classic c jaro_winkler_similarity \n",
+ "4 3.10.7 0.10-classic c levenshtein_distance \n",
+ "5 3.10.7 0.10-classic c match_rating_codex \n",
+ "6 3.10.7 0.10-classic c match_rating_comparison \n",
+ "7 3.10.7 0.10-classic c metaphone \n",
+ "8 3.10.7 0.10-classic c nysiis \n",
+ "9 3.10.7 0.10-classic c soundex \n",
+ "10 3.10.7 0.10-classic python damerau_levenshtein_distance \n",
+ "11 3.10.7 0.10-classic python hamming_distance \n",
+ "12 3.10.7 0.10-classic python jaro_similarity \n",
+ "13 3.10.7 0.10-classic python jaro_winkler_similarity \n",
+ "14 3.10.7 0.10-classic python levenshtein_distance \n",
+ "15 3.10.7 0.10-classic python match_rating_codex \n",
+ "16 3.10.7 0.10-classic python match_rating_comparison \n",
+ "17 3.10.7 0.10-classic python metaphone \n",
+ "18 3.10.7 0.10-classic python nysiis \n",
+ "19 3.10.7 0.10-classic python soundex \n",
+ "0 3.10.7 0.11 rust damerau_levenshtein_distance \n",
+ "1 3.10.7 0.11 rust hamming_distance \n",
+ "2 3.10.7 0.11 rust jaro_similarity \n",
+ "3 3.10.7 0.11 rust jaro_winkler_similarity \n",
+ "4 3.10.7 0.11 rust levenshtein_distance \n",
+ "5 3.10.7 0.11 rust match_rating_codex \n",
+ "6 3.10.7 0.11 rust match_rating_comparison \n",
+ "7 3.10.7 0.11 rust metaphone \n",
+ "8 3.10.7 0.11 rust nysiis \n",
+ "9 3.10.7 0.11 rust soundex \n",
+ "10 3.10.7 0.11 rust damerau_levenshtein_distance \n",
+ "11 3.10.7 0.11 rust hamming_distance \n",
+ "12 3.10.7 0.11 rust jaro_similarity \n",
+ "13 3.10.7 0.11 rust jaro_winkler_similarity \n",
+ "14 3.10.7 0.11 rust levenshtein_distance \n",
+ "15 3.10.7 0.11 rust match_rating_codex \n",
+ "16 3.10.7 0.11 rust match_rating_comparison \n",
+ "17 3.10.7 0.11 rust metaphone \n",
+ "18 3.10.7 0.11 rust nysiis \n",
+ "19 3.10.7 0.11 rust soundex \n",
+ "20 3.10.7 0.11 rust damerau_levenshtein_distance \n",
+ "21 3.10.7 0.11 rust hamming_distance \n",
+ "22 3.10.7 0.11 rust jaro_similarity \n",
+ "23 3.10.7 0.11 rust jaro_winkler_similarity \n",
+ "24 3.10.7 0.11 rust levenshtein_distance \n",
+ "25 3.10.7 0.11 rust match_rating_codex \n",
+ "26 3.10.7 0.11 rust match_rating_comparison \n",
+ "27 3.10.7 0.11 rust metaphone \n",
+ "28 3.10.7 0.11 rust nysiis \n",
+ "29 3.10.7 0.11 rust soundex \n",
+ "30 3.10.7 0.11-dev rust damerau_levenshtein_distance \n",
+ "31 3.10.7 0.11-dev rust hamming_distance \n",
+ "32 3.10.7 0.11-dev rust jaro_similarity \n",
+ "33 3.10.7 0.11-dev rust jaro_winkler_similarity \n",
+ "34 3.10.7 0.11-dev rust levenshtein_distance \n",
+ "35 3.10.7 0.11-dev rust match_rating_codex \n",
+ "36 3.10.7 0.11-dev rust match_rating_comparison \n",
+ "37 3.10.7 0.11-dev rust metaphone \n",
+ "38 3.10.7 0.11-dev rust nysiis \n",
+ "39 3.10.7 0.11-dev rust soundex \n",
"\n",
" time \n",
"0 4.380978e-07 \n",
@@ -361,10 +631,40 @@
"6 7.640520e-07 \n",
"7 4.791485e-07 \n",
"8 6.270805e-07 \n",
- "9 3.967762e-07 "
+ "9 3.967762e-07 \n",
+ "10 2.992801e-06 \n",
+ "11 2.597306e-07 \n",
+ "12 8.853471e-07 \n",
+ "13 5.016982e-07 \n",
+ "14 5.396300e-07 \n",
+ "15 4.354181e-07 \n",
+ "16 7.831389e-07 \n",
+ "17 4.821764e-07 \n",
+ "18 6.275171e-07 \n",
+ "19 3.946941e-07 \n",
+ "20 2.936923e-06 \n",
+ "21 2.577235e-07 \n",
+ "22 8.769623e-07 \n",
+ "23 5.051285e-07 \n",
+ "24 5.180997e-07 \n",
+ "25 4.162180e-07 \n",
+ "26 7.668212e-07 \n",
+ "27 4.725069e-07 \n",
+ "28 6.123398e-07 \n",
+ "29 3.931272e-07 \n",
+ "30 2.899024e-06 \n",
+ "31 2.679504e-07 \n",
+ "32 8.918526e-07 \n",
+ "33 5.291077e-07 \n",
+ "34 3.289318e-07 \n",
+ "35 4.252852e-07 \n",
+ "36 8.167230e-07 \n",
+ "37 5.095754e-07 \n",
+ "38 6.351890e-07 \n",
+ "39 4.054403e-07 "
]
},
- "execution_count": 11,
+ "execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
@@ -380,7 +680,7 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 38,
"metadata": {},
"outputs": [
{
@@ -389,13 +689,13 @@
""
]
},
- "execution_count": 12,
+ "execution_count": 38,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": 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",
+ "image/png": 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",
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