Initial commit

node_modules/fast-levenshtein/levenshtein.js

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+(function() {
+  'use strict';
+  
+  var collator;
+  try {
+    collator = (typeof Intl !== "undefined" && typeof Intl.Collator !== "undefined") ? Intl.Collator("generic", { sensitivity: "base" }) : null;
+  } catch (err){
+    console.log("Collator could not be initialized and wouldn't be used");
+  }
+  // arrays to re-use
+  var prevRow = [],
+    str2Char = [];
+  
+  /**
+   * Based on the algorithm at http://en.wikipedia.org/wiki/Levenshtein_distance.
+   */
+  var Levenshtein = {
+    /**
+     * Calculate levenshtein distance of the two strings.
+     *
+     * @param str1 String the first string.
+     * @param str2 String the second string.
+     * @param [options] Additional options.
+     * @param [options.useCollator] Use `Intl.Collator` for locale-sensitive string comparison.
+     * @return Integer the levenshtein distance (0 and above).
+     */
+    get: function(str1, str2, options) {
+      var useCollator = (options && collator && options.useCollator);
+      
+      var str1Len = str1.length,
+        str2Len = str2.length;
+      
+      // base cases
+      if (str1Len === 0) return str2Len;
+      if (str2Len === 0) return str1Len;
+
+      // two rows
+      var curCol, nextCol, i, j, tmp;
+
+      // initialise previous row
+      for (i=0; i<str2Len; ++i) {
+        prevRow[i] = i;
+        str2Char[i] = str2.charCodeAt(i);
+      }
+      prevRow[str2Len] = str2Len;
+
+      var strCmp;
+      if (useCollator) {
+        // calculate current row distance from previous row using collator
+        for (i = 0; i < str1Len; ++i) {
+          nextCol = i + 1;
+
+          for (j = 0; j < str2Len; ++j) {
+            curCol = nextCol;
+
+            // substution
+            strCmp = 0 === collator.compare(str1.charAt(i), String.fromCharCode(str2Char[j]));
+
+            nextCol = prevRow[j] + (strCmp ? 0 : 1);
+
+            // insertion
+            tmp = curCol + 1;
+            if (nextCol > tmp) {
+              nextCol = tmp;
+            }
+            // deletion
+            tmp = prevRow[j + 1] + 1;
+            if (nextCol > tmp) {
+              nextCol = tmp;
+            }
+
+            // copy current col value into previous (in preparation for next iteration)
+            prevRow[j] = curCol;
+          }
+
+          // copy last col value into previous (in preparation for next iteration)
+          prevRow[j] = nextCol;
+        }
+      }
+      else {
+        // calculate current row distance from previous row without collator
+        for (i = 0; i < str1Len; ++i) {
+          nextCol = i + 1;
+
+          for (j = 0; j < str2Len; ++j) {
+            curCol = nextCol;
+
+            // substution
+            strCmp = str1.charCodeAt(i) === str2Char[j];
+
+            nextCol = prevRow[j] + (strCmp ? 0 : 1);
+
+            // insertion
+            tmp = curCol + 1;
+            if (nextCol > tmp) {
+              nextCol = tmp;
+            }
+            // deletion
+            tmp = prevRow[j + 1] + 1;
+            if (nextCol > tmp) {
+              nextCol = tmp;
+            }
+
+            // copy current col value into previous (in preparation for next iteration)
+            prevRow[j] = curCol;
+          }
+
+          // copy last col value into previous (in preparation for next iteration)
+          prevRow[j] = nextCol;
+        }
+      }
+      return nextCol;
+    }
+
+  };
+
+  // amd
+  if (typeof define !== "undefined" && define !== null && define.amd) {
+    define(function() {
+      return Levenshtein;
+    });
+  }
+  // commonjs
+  else if (typeof module !== "undefined" && module !== null && typeof exports !== "undefined" && module.exports === exports) {
+    module.exports = Levenshtein;
+  }
+  // web worker
+  else if (typeof self !== "undefined" && typeof self.postMessage === 'function' && typeof self.importScripts === 'function') {
+    self.Levenshtein = Levenshtein;
+  }
+  // browser main thread
+  else if (typeof window !== "undefined" && window !== null) {
+    window.Levenshtein = Levenshtein;
+  }
+}());
+

node_modules/fast-levenshtein/package.json

@@ -0,0 +1,28 @@
+{
+  "name": "fast-levenshtein",
+  "version": "2.0.6",
+  "description": "Efficient implementation of Levenshtein algorithm  with locale-specific collator support.",
+  "main": "levenshtein.js",
+  "files": [
+    "levenshtein.js"
+  ],
+  "devDependencies": {
+    "chai": "~1.5.0",
+    "grunt": "~0.4.1",
+    "grunt-benchmark": "~0.2.0",
+    "grunt-cli": "^1.2.0",
+    "grunt-contrib-jshint": "~0.4.3",
+    "grunt-contrib-uglify": "~0.2.0",
+    "grunt-mocha-test": "~0.2.2",
+    "grunt-npm-install": "~0.1.0",
+    "load-grunt-tasks": "~0.6.0",
+    "lodash": "^4.0.1",
+    "mocha": "~1.9.0"
+  },
+  "repository": {
+    "type": "git",
+    "url": "https://github.com/hiddentao/fast-levenshtein.git"
+  },
+  "author": "Ramesh Nair <ram@hiddentao.com> (http://www.hiddentao.com/)",
+  "license": "MIT"
+}