didyoumean2 - npm Package Compare versions

Comparing version 4.2.0 to 5.0.0

CHANGELOG.md

@@ -5,2 +5,11 @@ # Changelog
 
+## [5.0.0](https://github.com/foray1010/didyoumean2/compare/v4.2.0...v5.0.0) (2021-05-27)
+
+
+### ⚠ BREAKING CHANGES
+
+* drop node 10
+
+* drop node 10 ([f676176](https://github.com/foray1010/didyoumean2/commit/f676176de6a2e54918198544909806996e4aec23))
+
 ## [4.2.0](https://github.com/foray1010/didyoumean2/compare/v4.1.0...v4.2.0) (2021-04-25)
@@ -7,0 +16,0 @@

dist/index.umd.js

@@ -1,2 +0,2 @@
-!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?t(exports):"function"==typeof define&&define.amd?define(["exports"],t):t((e="undefined"!=typeof globalThis?globalThis:e||self).didYouMean={})}(this,(function(e){"use strict";const t=[],r=[],n=(e,n)=>{if(e===n)return 0;const s=e;e.length>n.length&&(e=n,n=s);let o=e.length,u=n.length;for(;o>0&&e.charCodeAt(~-o)===n.charCodeAt(~-u);)o--,u--;let l,c,T,a,h=0;for(;h<o&&e.charCodeAt(h)===n.charCodeAt(h);)h++;if(o-=h,u-=h,0===o)return u;let f=0,i=0;for(;f<o;)r[f]=e.charCodeAt(h+f),t[f]=++f;for(;i<u;)for(l=n.charCodeAt(h+i),T=i++,c=i,f=0;f<o;f++)a=l===r[f]?T:T+1,T=t[f],c=t[f]=T>c?a>c?c+1:a:a>T?T+1:a;return c};var s,o,u=n,l=n;u.default=l,(s=e.ReturnTypeEnums||(e.ReturnTypeEnums={})).ALL_CLOSEST_MATCHES="all-closest-matches",s.ALL_MATCHES="all-matches",s.ALL_SORTED_MATCHES="all-sorted-matches",s.FIRST_CLOSEST_MATCH="first-closest-match",s.FIRST_MATCH="first-match",(o=e.ThresholdTypeEnums||(e.ThresholdTypeEnums={})).EDIT_DISTANCE="edit-distance",o.SIMILARITY="similarity";const c=new Error("unknown returnType"),T=new Error("unknown thresholdType");var a="undefined"!=typeof globalThis?globalThis:"undefined"!=typeof window?window:"undefined"!=typeof global?global:"undefined"!=typeof self?self:{},h="[object Symbol]",f=/[\xc0-\xd6\xd8-\xf6\xf8-\xff\u0100-\u017f]/g,i=RegExp("[\\u0300-\\u036f\\ufe20-\\ufe23\\u20d0-\\u20f0]","g"),d="object"==typeof a&&a&&a.Object===Object&&a,p="object"==typeof self&&self&&self.Object===Object&&self,E=d||p||Function("return this")();var y,S=(y={"À":"A","Á":"A","Â":"A","Ã":"A","Ä":"A","Å":"A","à":"a","á":"a","â":"a","ã":"a","ä":"a","å":"a","Ç":"C","ç":"c","Ð":"D","ð":"d","È":"E","É":"E","Ê":"E","Ë":"E","è":"e","é":"e","ê":"e","ë":"e","Ì":"I","Í":"I","Î":"I","Ï":"I","ì":"i","í":"i","î":"i","ï":"i","Ñ":"N","ñ":"n","Ò":"O","Ó":"O","Ô":"O","Õ":"O","Ö":"O","Ø":"O","ò":"o","ó":"o","ô":"o","õ":"o","ö":"o","ø":"o","Ù":"U","Ú":"U","Û":"U","Ü":"U","ù":"u","ú":"u","û":"u","ü":"u","Ý":"Y","ý":"y","ÿ":"y","Æ":"Ae","æ":"ae","Þ":"Th","þ":"th","ß":"ss","Ā":"A","Ă":"A","Ą":"A","ā":"a","ă":"a","ą":"a","Ć":"C","Ĉ":"C","Ċ":"C","Č":"C","ć":"c","ĉ":"c","ċ":"c","č":"c","Ď":"D","Đ":"D","ď":"d","đ":"d","Ē":"E","Ĕ":"E","Ė":"E","Ę":"E","Ě":"E","ē":"e","ĕ":"e","ė":"e","ę":"e","ě":"e","Ĝ":"G","Ğ":"G","Ġ":"G","Ģ":"G","ĝ":"g","ğ":"g","ġ":"g","ģ":"g","Ĥ":"H","Ħ":"H","ĥ":"h","ħ":"h","Ĩ":"I","Ī":"I","Ĭ":"I","Į":"I","İ":"I","ĩ":"i","ī":"i","ĭ":"i","į":"i","ı":"i","Ĵ":"J","ĵ":"j","Ķ":"K","ķ":"k","ĸ":"k","Ĺ":"L","Ļ":"L","Ľ":"L","Ŀ":"L","Ł":"L","ĺ":"l","ļ":"l","ľ":"l","ŀ":"l","ł":"l","Ń":"N","Ņ":"N","Ň":"N","Ŋ":"N","ń":"n","ņ":"n","ň":"n","ŋ":"n","Ō":"O","Ŏ":"O","Ő":"O","ō":"o","ŏ":"o","ő":"o","Ŕ":"R","Ŗ":"R","Ř":"R","ŕ":"r","ŗ":"r","ř":"r","Ś":"S","Ŝ":"S","Ş":"S","Š":"S","ś":"s","ŝ":"s","ş":"s","š":"s","Ţ":"T","Ť":"T","Ŧ":"T","ţ":"t","ť":"t","ŧ":"t","Ũ":"U","Ū":"U","Ŭ":"U","Ů":"U","Ű":"U","Ų":"U","ũ":"u","ū":"u","ŭ":"u","ů":"u","ű":"u","ų":"u","Ŵ":"W","ŵ":"w","Ŷ":"Y","ŷ":"y","Ÿ":"Y","Ź":"Z","Ż":"Z","Ž":"Z","ź":"z","ż":"z","ž":"z","IJ":"IJ","ij":"ij","Œ":"Oe","œ":"oe","ʼn":"'n","ſ":"ss"},function(e){return null==y?void 0:y[e]}),A=Object.prototype.toString,I=E.Symbol,m=I?I.prototype:void 0,C=m?m.toString:void 0;function L(e){if("string"==typeof e)return e;if(function(e){return"symbol"==typeof e||function(e){return!!e&&"object"==typeof e}(e)&&A.call(e)==h}(e))return C?C.call(e):"";var t=e+"";return"0"==t&&1/e==-Infinity?"-0":t}var b=function(e){var t;return(e=null==(t=e)?"":L(t))&&e.replace(f,S).replace(i,"")};const R=(e,t)=>{let r=e;return t.trimSpaces&&(r=r.trim().replace(/\s+/g," ")),t.deburr&&(r=b(r)),t.caseSensitive||(r=r.toLowerCase()),r},_=(e,t)=>{const{matchPath:r}=t,n=((e,t)=>{const r=t.length>0?t.reduce(((e,t)=>null==e?void 0:e[t]),e):e;return"string"!=typeof r?"":r})(e,r);return R(n,t)};e.default=function(t,r,n){const s=(t=>{const r={caseSensitive:!1,deburr:!0,matchPath:[],returnType:e.ReturnTypeEnums.FIRST_CLOSEST_MATCH,thresholdType:e.ThresholdTypeEnums.SIMILARITY,trimSpaces:!0,...t};switch(r.thresholdType){case e.ThresholdTypeEnums.EDIT_DISTANCE:return{threshold:20,...r};case e.ThresholdTypeEnums.SIMILARITY:return{threshold:.4,...r};default:throw T}})(n),{returnType:o,threshold:l,thresholdType:a}=s,h=R(t,s);let f,i;switch(a){case e.ThresholdTypeEnums.EDIT_DISTANCE:f=e=>e<=l,i=e=>u(h,_(e,s));break;case e.ThresholdTypeEnums.SIMILARITY:f=e=>e>=l,i=e=>((e,t)=>{if(!e||!t)return 0;if(e===t)return 1;const r=u(e,t),n=Math.max(e.length,t.length);return(n-r)/n})(h,_(e,s));break;default:throw T}const d=[],p=r.length;switch(o){case e.ReturnTypeEnums.ALL_CLOSEST_MATCHES:case e.ReturnTypeEnums.FIRST_CLOSEST_MATCH:{const t=[];let n;switch(a){case e.ThresholdTypeEnums.EDIT_DISTANCE:n=1/0;for(let e=0;e<p;e+=1){const s=i(r[e]);n>s&&(n=s),t.push(s)}break;case e.ThresholdTypeEnums.SIMILARITY:n=0;for(let e=0;e<p;e+=1){const s=i(r[e]);n<s&&(n=s),t.push(s)}break;default:throw T}const s=t.length;for(let e=0;e<s;e+=1){const r=t[e];f(r)&&r===n&&d.push(e)}break}case e.ReturnTypeEnums.ALL_MATCHES:for(let e=0;e<p;e+=1){f(i(r[e]))&&d.push(e)}break;case e.ReturnTypeEnums.ALL_SORTED_MATCHES:{const t=[];for(let e=0;e<p;e+=1){const n=i(r[e]);f(n)&&t.push({score:n,index:e})}switch(a){case e.ThresholdTypeEnums.EDIT_DISTANCE:t.sort(((e,t)=>e.score-t.score));break;case e.ThresholdTypeEnums.SIMILARITY:t.sort(((e,t)=>t.score-e.score));break;default:throw T}for(const e of t)d.push(e.index);break}case e.ReturnTypeEnums.FIRST_MATCH:for(let e=0;e<p;e+=1){if(f(i(r[e]))){d.push(e);break}}break;default:throw c}return((t,r,n)=>{switch(n){case e.ReturnTypeEnums.ALL_CLOSEST_MATCHES:case e.ReturnTypeEnums.ALL_MATCHES:case e.ReturnTypeEnums.ALL_SORTED_MATCHES:return r.map((e=>t[e]));case e.ReturnTypeEnums.FIRST_CLOSEST_MATCH:case e.ReturnTypeEnums.FIRST_MATCH:return r.length?t[r[0]]:null;default:throw c}})(r,d,o)},Object.defineProperty(e,"__esModule",{value:!0})}));
+!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?t(exports):"function"==typeof define&&define.amd?define(["exports"],t):t((e="undefined"!=typeof globalThis?globalThis:e||self).didYouMean={})}(this,(function(e){"use strict";var t="undefined"!=typeof globalThis?globalThis:"undefined"!=typeof window?window:"undefined"!=typeof global?global:"undefined"!=typeof self?self:{};const r=new Uint32Array(65536),n=(e,t)=>{if(e.length>t.length){const r=t;t=e,e=r}return 0===e.length?t.length:e.length<=32?((e,t)=>{const n=e.length,o=t.length,s=1<<n-1;let u=-1,l=0,c=n,h=n;for(;h--;)r[e.charCodeAt(h)]|=1<<h;for(h=0;h<o;h++){let e=r[t.charCodeAt(h)];const n=e|l;e|=(e&u)+u^u,l|=~(e|u),u&=e,l&s&&c++,u&s&&c--,l=l<<1|1,u=u<<1|~(n|l),l&=n}for(h=n;h--;)r[e.charCodeAt(h)]=0;return c})(e,t):((e,t)=>{const n=e.length,o=t.length,s=[],u=[],l=Math.ceil(n/32),c=Math.ceil(o/32);let h=o;for(let e=0;e<l;e++)u[e]=-1,s[e]=0;let a=0;for(;a<c-1;a++){let l=0,c=-1;const T=32*a,i=Math.min(32,o)+T;for(let e=T;e<i;e++)r[t.charCodeAt(e)]|=1<<e;h=o;for(let t=0;t<n;t++){const n=r[e.charCodeAt(t)],o=u[t/32|0]>>>t&1,h=s[t/32|0]>>>t&1,a=n|l,T=((n|h)&c)+c^c|n|h;let i=l|~(T|c),f=c&T;i>>>31^o&&(u[t/32|0]^=1<<t),f>>>31^h&&(s[t/32|0]^=1<<t),i=i<<1|o,f=f<<1|h,c=f|~(a|i),l=i&a}for(let e=T;e<i;e++)r[t.charCodeAt(e)]=0}let T=0,i=-1;const f=32*a,d=Math.min(32,o-f)+f;for(let e=f;e<d;e++)r[t.charCodeAt(e)]|=1<<e;h=o;for(let t=0;t<n;t++){const n=r[e.charCodeAt(t)],l=u[t/32|0]>>>t&1,c=s[t/32|0]>>>t&1,a=n|T,f=((n|c)&i)+i^i|n|c;let d=T|~(f|i),p=i&f;h+=d>>>o-1&1,h-=p>>>o-1&1,d>>>31^l&&(u[t/32|0]^=1<<t),p>>>31^c&&(s[t/32|0]^=1<<t),d=d<<1|l,p=p<<1|c,i=p|~(a|d),T=d&a}for(let e=f;e<d;e++)r[t.charCodeAt(e)]=0;return h})(e,t)};var o,s,u=n;e.ReturnTypeEnums=void 0,(o=e.ReturnTypeEnums||(e.ReturnTypeEnums={})).ALL_CLOSEST_MATCHES="all-closest-matches",o.ALL_MATCHES="all-matches",o.ALL_SORTED_MATCHES="all-sorted-matches",o.FIRST_CLOSEST_MATCH="first-closest-match",o.FIRST_MATCH="first-match",e.ThresholdTypeEnums=void 0,(s=e.ThresholdTypeEnums||(e.ThresholdTypeEnums={})).EDIT_DISTANCE="edit-distance",s.SIMILARITY="similarity";const l=new Error("unknown returnType"),c=new Error("unknown thresholdType");var h="[object Symbol]",a=/[\xc0-\xd6\xd8-\xf6\xf8-\xff\u0100-\u017f]/g,T=RegExp("[\\u0300-\\u036f\\ufe20-\\ufe23\\u20d0-\\u20f0]","g"),i="object"==typeof t&&t&&t.Object===Object&&t,f="object"==typeof self&&self&&self.Object===Object&&self,d=i||f||Function("return this")();var p,E=(p={"À":"A","Á":"A","Â":"A","Ã":"A","Ä":"A","Å":"A","à":"a","á":"a","â":"a","ã":"a","ä":"a","å":"a","Ç":"C","ç":"c","Ð":"D","ð":"d","È":"E","É":"E","Ê":"E","Ë":"E","è":"e","é":"e","ê":"e","ë":"e","Ì":"I","Í":"I","Î":"I","Ï":"I","ì":"i","í":"i","î":"i","ï":"i","Ñ":"N","ñ":"n","Ò":"O","Ó":"O","Ô":"O","Õ":"O","Ö":"O","Ø":"O","ò":"o","ó":"o","ô":"o","õ":"o","ö":"o","ø":"o","Ù":"U","Ú":"U","Û":"U","Ü":"U","ù":"u","ú":"u","û":"u","ü":"u","Ý":"Y","ý":"y","ÿ":"y","Æ":"Ae","æ":"ae","Þ":"Th","þ":"th","ß":"ss","Ā":"A","Ă":"A","Ą":"A","ā":"a","ă":"a","ą":"a","Ć":"C","Ĉ":"C","Ċ":"C","Č":"C","ć":"c","ĉ":"c","ċ":"c","č":"c","Ď":"D","Đ":"D","ď":"d","đ":"d","Ē":"E","Ĕ":"E","Ė":"E","Ę":"E","Ě":"E","ē":"e","ĕ":"e","ė":"e","ę":"e","ě":"e","Ĝ":"G","Ğ":"G","Ġ":"G","Ģ":"G","ĝ":"g","ğ":"g","ġ":"g","ģ":"g","Ĥ":"H","Ħ":"H","ĥ":"h","ħ":"h","Ĩ":"I","Ī":"I","Ĭ":"I","Į":"I","İ":"I","ĩ":"i","ī":"i","ĭ":"i","į":"i","ı":"i","Ĵ":"J","ĵ":"j","Ķ":"K","ķ":"k","ĸ":"k","Ĺ":"L","Ļ":"L","Ľ":"L","Ŀ":"L","Ł":"L","ĺ":"l","ļ":"l","ľ":"l","ŀ":"l","ł":"l","Ń":"N","Ņ":"N","Ň":"N","Ŋ":"N","ń":"n","ņ":"n","ň":"n","ŋ":"n","Ō":"O","Ŏ":"O","Ő":"O","ō":"o","ŏ":"o","ő":"o","Ŕ":"R","Ŗ":"R","Ř":"R","ŕ":"r","ŗ":"r","ř":"r","Ś":"S","Ŝ":"S","Ş":"S","Š":"S","ś":"s","ŝ":"s","ş":"s","š":"s","Ţ":"T","Ť":"T","Ŧ":"T","ţ":"t","ť":"t","ŧ":"t","Ũ":"U","Ū":"U","Ŭ":"U","Ů":"U","Ű":"U","Ų":"U","ũ":"u","ū":"u","ŭ":"u","ů":"u","ű":"u","ų":"u","Ŵ":"W","ŵ":"w","Ŷ":"Y","ŷ":"y","Ÿ":"Y","Ź":"Z","Ż":"Z","Ž":"Z","ź":"z","ż":"z","ž":"z","IJ":"IJ","ij":"ij","Œ":"Oe","œ":"oe","ʼn":"'n","ſ":"ss"},function(e){return null==p?void 0:p[e]}),y=Object.prototype.toString,A=d.Symbol,S=A?A.prototype:void 0,m=S?S.toString:void 0;function I(e){if("string"==typeof e)return e;if(function(e){return"symbol"==typeof e||function(e){return!!e&&"object"==typeof e}(e)&&y.call(e)==h}(e))return m?m.call(e):"";var t=e+"";return"0"==t&&1/e==-Infinity?"-0":t}var C=function(e){var t;return(e=null==(t=e)?"":I(t))&&e.replace(a,E).replace(T,"")};const L=(e,t)=>{let r=e;return t.trimSpaces&&(r=r.trim().replace(/\s+/g," ")),t.deburr&&(r=C(r)),t.caseSensitive||(r=r.toLowerCase()),r},R=(e,t)=>{const{matchPath:r}=t,n=((e,t)=>{const r=t.length>0?t.reduce(((e,t)=>null==e?void 0:e[t]),e):e;return"string"!=typeof r?"":r})(e,r);return L(n,t)};e.default=function(t,r,n){const o=(t=>{const r={caseSensitive:!1,deburr:!0,matchPath:[],returnType:e.ReturnTypeEnums.FIRST_CLOSEST_MATCH,thresholdType:e.ThresholdTypeEnums.SIMILARITY,trimSpaces:!0,...t};switch(r.thresholdType){case e.ThresholdTypeEnums.EDIT_DISTANCE:return{threshold:20,...r};case e.ThresholdTypeEnums.SIMILARITY:return{threshold:.4,...r};default:throw c}})(n),{returnType:s,threshold:h,thresholdType:a}=o,T=L(t,o);let i,f;switch(a){case e.ThresholdTypeEnums.EDIT_DISTANCE:i=e=>e<=h,f=e=>u(T,R(e,o));break;case e.ThresholdTypeEnums.SIMILARITY:i=e=>e>=h,f=e=>((e,t)=>{if(!e||!t)return 0;if(e===t)return 1;const r=u(e,t),n=Math.max(e.length,t.length);return(n-r)/n})(T,R(e,o));break;default:throw c}const d=[],p=r.length;switch(s){case e.ReturnTypeEnums.ALL_CLOSEST_MATCHES:case e.ReturnTypeEnums.FIRST_CLOSEST_MATCH:{const t=[];let n;switch(a){case e.ThresholdTypeEnums.EDIT_DISTANCE:n=1/0;for(let e=0;e<p;e+=1){const o=f(r[e]);n>o&&(n=o),t.push(o)}break;case e.ThresholdTypeEnums.SIMILARITY:n=0;for(let e=0;e<p;e+=1){const o=f(r[e]);n<o&&(n=o),t.push(o)}break;default:throw c}const o=t.length;for(let e=0;e<o;e+=1){const r=t[e];i(r)&&r===n&&d.push(e)}break}case e.ReturnTypeEnums.ALL_MATCHES:for(let e=0;e<p;e+=1){i(f(r[e]))&&d.push(e)}break;case e.ReturnTypeEnums.ALL_SORTED_MATCHES:{const t=[];for(let e=0;e<p;e+=1){const n=f(r[e]);i(n)&&t.push({score:n,index:e})}switch(a){case e.ThresholdTypeEnums.EDIT_DISTANCE:t.sort(((e,t)=>e.score-t.score));break;case e.ThresholdTypeEnums.SIMILARITY:t.sort(((e,t)=>t.score-e.score));break;default:throw c}for(const e of t)d.push(e.index);break}case e.ReturnTypeEnums.FIRST_MATCH:for(let e=0;e<p;e+=1){if(i(f(r[e]))){d.push(e);break}}break;default:throw l}return((t,r,n)=>{switch(n){case e.ReturnTypeEnums.ALL_CLOSEST_MATCHES:case e.ReturnTypeEnums.ALL_MATCHES:case e.ReturnTypeEnums.ALL_SORTED_MATCHES:return r.map((e=>t[e]));case e.ReturnTypeEnums.FIRST_CLOSEST_MATCH:case e.ReturnTypeEnums.FIRST_MATCH:return r.length?t[r[0]]:null;default:throw l}})(r,d,s)},Object.defineProperty(e,"__esModule",{value:!0})}));
 //# sourceMappingURL=index.umd.js.map

package.json

 {
   "$schema": "https://json.schemastore.org/package",
   "name": "didyoumean2",
-  "version": "4.2.0",
+  "version": "5.0.0",
   "description": "a library for matching human-quality input to a list of potential matches using the Levenshtein distance algorithm",
@@ -38,10 +38,11 @@ "keywords": [
     "import": "./dist/index.mjs",
-    "require": "./dist/index.cjs.js"
+    "require": "./dist/index.cjs"
   },
-  "main": "./dist/index.cjs.js",
+  "main": "./dist/index.cjs",
   "unpkg": "./dist/index.umd.js",
-  "module": "./dist/index.esm.js",
+  "module": "./dist/index.mjs",
   "typings": "./dist/index.d.ts",
   "files": [
-    "dist"
+    "dist",
+    "*.md"
   ],
@@ -68,41 +69,41 @@ "scripts": {
     "@babel/runtime": "^7.10.2",
-    "leven": "^3.1.0",
+    "fastest-levenshtein": "^1.0.12",
     "lodash.deburr": "^4.1.0"
   },
   "devDependencies": {
-    "@babel/core": "7.13.16",
-    "@commitlint/cli": "12.1.1",
-    "@commitlint/config-conventional": "12.1.1",
-    "@foray1010/babel-preset": "6.2.0",
-    "@foray1010/eslint-config": "4.9.0",
-    "@foray1010/prettier-config": "4.3.0",
-    "@foray1010/remark-preset": "3.4.2",
-    "@foray1010/tsconfig": "4.1.2",
+    "@babel/core": "7.14.3",
+    "@commitlint/cli": "12.1.4",
+    "@commitlint/config-conventional": "12.1.4",
+    "@foray1010/babel-preset": "7.0.0",
+    "@foray1010/eslint-config": "5.0.1",
+    "@foray1010/prettier-config": "5.0.0",
+    "@foray1010/remark-preset": "4.0.0",
+    "@foray1010/tsconfig": "5.0.0",
     "@rollup/plugin-babel": "5.3.0",
-    "@rollup/plugin-commonjs": "18.0.0",
-    "@rollup/plugin-node-resolve": "11.2.1",
-    "@size-limit/preset-small-lib": "4.10.2",
-    "@types/jest": "26.0.22",
+    "@rollup/plugin-commonjs": "19.0.0",
+    "@rollup/plugin-node-resolve": "13.0.0",
+    "@size-limit/preset-small-lib": "4.11.0",
+    "@types/jest": "26.0.23",
     "@types/lodash.deburr": "4.1.6",
-    "eslint": "7.24.0",
+    "eslint": "7.27.0",
     "husky": "6.0.0",
-    "ignore-sync": "3.1.0",
+    "ignore-sync": "4.0.0",
     "jest": "26.6.3",
-    "lint-staged": "10.5.4",
+    "lint-staged": "11.0.0",
     "npm-run-all": "4.1.5",
     "pinst": "2.1.6",
-    "prettier": "2.2.1",
+    "prettier": "2.3.0",
     "remark-cli": "9.0.0",
-    "rollup": "2.45.2",
-    "rollup-plugin-dts": "2.0.1",
+    "rollup": "2.48.0",
+    "rollup-plugin-dts": "3.0.1",
     "rollup-plugin-terser": "7.0.2",
     "shx": "0.3.3",
-    "size-limit": "4.10.2",
-    "ts-node": "9.1.1",
-    "type-coverage": "2.17.2",
+    "size-limit": "4.11.0",
+    "ts-node": "10.0.0",
+    "type-coverage": "2.17.5",
     "typescript": "4.2.4"
   },
   "engines": {
-    "node": ">=10.13"
+    "node": ">=12.13"
   }
 }

README.md

@@ -15,3 +15,3 @@ # didyoumean2
 
-1. Based on [leven](https://github.com/sindresorhus/leven), the fastest JS implementation of the [Levenshtein distance algorithm](https://en.wikipedia.org/wiki/Levenshtein_distance)
+1. Based on [fastest-levenshtein](https://github.com/ka-weihe/fastest-levenshtein), the fastest JS implementation of the [Levenshtein distance algorithm](https://en.wikipedia.org/wiki/Levenshtein_distance)
 
@@ -18,0 +18,0 @@ 1. ~100% faster than [didyoumean.js](https://github.com/dcporter/didyoumean.js)

New alerts

Minified code

Quality

This package contains minified code. This may be harmless in some cases where minified code is included in packaged libraries, however packages on npm should not minify code.

Found 1 instance in 1 package

Fixed alerts

AI-detected possible typosquat

Supply chain risk

AI has identified this package as a potential typosquat of a more popular package. This suggests that the package may be intentionally mimicking another package's name, description, or other metadata.

Found 1 instance in 1 package

Major refactor

Supply chain risk

Package has recently undergone a major refactor. It may be unstable or indicate significant internal changes. Use caution when updating to versions that include significant changes.

Found 1 instance in 1 package

Minified code

Quality

This package contains minified code. This may be harmless in some cases where minified code is included in packaged libraries, however packages on npm should not minify code.

Found 1 instance in 1 package

Improved metrics

Number of medium supply chain risk alerts

0

decreased by-100%

Worsened metrics

Total package byte prevSize

90987

decreased by-12.21%

Number of package files

11

decreased by-15.38%

Lines of code

82

decreased by-7.87%

Dependency changes

• + Addedfastest-levenshtein@^1.0.12

• + Addedfastest-levenshtein@1.0.16(transitive)

• - Removedleven@^3.1.0

• - Removedleven@3.1.0(transitive)