add new operation: Levenshtein Distance
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@ -269,6 +269,7 @@
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"Fuzzy Match",
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"Offset checker",
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"Hamming Distance",
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"Levenshtein Distance",
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"Convert distance",
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"Convert area",
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"Convert mass",
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98
src/core/operations/LevenshteinDistance.mjs
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98
src/core/operations/LevenshteinDistance.mjs
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@ -0,0 +1,98 @@
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/**
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* @author mikecat
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* @copyright Crown Copyright 2023
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* @license Apache-2.0
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*/
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import Operation from "../Operation.mjs";
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import OperationError from "../errors/OperationError.mjs";
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/**
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* Levenshtein Distance operation
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*/
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class LevenshteinDistance extends Operation {
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/**
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* LevenshteinDistance constructor
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*/
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constructor() {
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super();
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this.name = "Levenshtein Distance";
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this.module = "Default";
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this.description = "Levenshtein Distance (also known as Edit Distance) is a string metric to measure a difference between two strings that counts operations (insertions, deletions, and substitutions) on single character that are required to change one string to another.";
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this.infoURL = "https://wikipedia.org/wiki/Levenshtein_distance";
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this.inputType = "string";
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this.outputType = "number";
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this.args = [
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{
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name: "Sample delimiter",
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type: "binaryString",
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value: "\\n"
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},
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{
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name: "Insertion cost",
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type: "number",
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value: 1
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},
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{
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name: "Deletion cost",
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type: "number",
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value: 1
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},
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{
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name: "Substitution cost",
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type: "number",
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value: 1
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},
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];
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}
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/**
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* @param {string} input
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* @param {Object[]} args
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* @returns {number}
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*/
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run(input, args) {
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const [delim, insCost, delCost, subCost] = args;
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const samples = input.split(delim);
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if (samples.length !== 2) {
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throw new OperationError("Incorrect number of samples. Check your input and/or delimiter.");
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}
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if (insCost < 0 || delCost < 0 || subCost < 0) {
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throw new OperationError("Negative costs are not allowed.");
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}
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const src = samples[0], dest = samples[1];
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let currentCost = new Array(src.length + 1);
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let nextCost = new Array(src.length + 1);
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for (let i = 0; i < currentCost.length; i++) {
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currentCost[i] = delCost * i;
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}
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for (let i = 0; i < dest.length; i++) {
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const destc = dest.charAt(i);
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nextCost[0] = currentCost[0] + insCost;
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for (let j = 0; j < src.length; j++) {
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let candidate;
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// insertion
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let optCost = currentCost[j + 1] + insCost;
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// deletion
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candidate = nextCost[j] + delCost;
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if (candidate < optCost) optCost = candidate;
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// substitution or matched character
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candidate = currentCost[j];
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if (src.charAt(j) !== destc) candidate += subCost;
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if (candidate < optCost) optCost = candidate;
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// store calculated cost
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nextCost[j + 1] = optCost;
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}
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const tempCost = nextCost;
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nextCost = currentCost;
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currentCost = tempCost;
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}
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return currentCost[currentCost.length - 1];
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}
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}
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export default LevenshteinDistance;
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@ -130,6 +130,7 @@ import "./tests/FletcherChecksum.mjs";
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import "./tests/CMAC.mjs";
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import "./tests/AESKeyWrap.mjs";
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import "./tests/Rabbit.mjs";
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import "./tests/LevenshteinDistance.mjs";
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// Cannot test operations that use the File type yet
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// import "./tests/SplitColourChannels.mjs";
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165
tests/operations/tests/LevenshteinDistance.mjs
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165
tests/operations/tests/LevenshteinDistance.mjs
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@ -0,0 +1,165 @@
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/**
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* @author mikecat
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* @copyright Crown Copyright 2023
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* @license Apache-2.0
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*/
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import TestRegister from "../../lib/TestRegister.mjs";
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TestRegister.addTests([
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{
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"name": "Levenshtein Distance: Wikipedia example 1",
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"input": "kitten\nsitting",
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"expectedOutput": "3",
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"recipeConfig": [
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{
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"op": "Levenshtein Distance",
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"args": [
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"\\n", 1, 1, 1,
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],
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},
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],
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},
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{
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"name": "Levenshtein Distance: Wikipedia example 2",
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"input": "saturday\nsunday",
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"expectedOutput": "3",
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"recipeConfig": [
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{
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"op": "Levenshtein Distance",
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"args": [
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"\\n", 1, 1, 1,
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],
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},
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],
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},
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{
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"name": "Levenshtein Distance: Wikipedia example 1 with substitution cost 2",
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"input": "kitten\nsitting",
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"expectedOutput": "5",
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"recipeConfig": [
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{
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"op": "Levenshtein Distance",
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"args": [
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"\\n", 1, 1, 2,
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],
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},
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],
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},
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{
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"name": "Levenshtein Distance: varied costs 1",
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"input": "kitten\nsitting",
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"expectedOutput": "230",
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"recipeConfig": [
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{
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"op": "Levenshtein Distance",
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"args": [
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"\\n", 10, 100, 1000,
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],
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},
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],
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},
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{
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"name": "Levenshtein Distance: varied costs 2",
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"input": "kitten\nsitting",
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"expectedOutput": "1020",
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"recipeConfig": [
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{
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"op": "Levenshtein Distance",
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"args": [
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"\\n", 1000, 100, 10,
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],
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},
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],
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},
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{
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"name": "Levenshtein Distance: another delimiter",
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"input": "kitten sitting",
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"expectedOutput": "3",
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"recipeConfig": [
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{
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"op": "Levenshtein Distance",
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"args": [
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" ", 1, 1, 1,
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],
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},
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],
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},
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{
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"name": "Levenshtein Distance: too few samples",
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"input": "kitten",
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"expectedOutput": "Incorrect number of samples. Check your input and/or delimiter.",
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"recipeConfig": [
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{
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"op": "Levenshtein Distance",
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"args": [
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"\\n", 1, 1, 1,
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],
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},
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],
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},
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{
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"name": "Levenshtein Distance: too many samples",
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"input": "kitten\nsitting\nkitchen",
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"expectedOutput": "Incorrect number of samples. Check your input and/or delimiter.",
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"recipeConfig": [
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{
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"op": "Levenshtein Distance",
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"args": [
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"\\n", 1, 1, 1,
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],
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},
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],
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},
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{
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"name": "Levenshtein Distance: negative insertion cost",
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"input": "kitten\nsitting",
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"expectedOutput": "Negative costs are not allowed.",
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"recipeConfig": [
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{
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"op": "Levenshtein Distance",
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"args": [
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"\\n", -1, 1, 1,
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],
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},
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],
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},
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{
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"name": "Levenshtein Distance: negative deletion cost",
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"input": "kitten\nsitting",
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"expectedOutput": "Negative costs are not allowed.",
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"recipeConfig": [
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{
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"op": "Levenshtein Distance",
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"args": [
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"\\n", 1, -1, 1,
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],
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},
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],
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},
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{
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"name": "Levenshtein Distance: negative substitution cost",
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"input": "kitten\nsitting",
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"expectedOutput": "Negative costs are not allowed.",
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"recipeConfig": [
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{
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"op": "Levenshtein Distance",
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"args": [
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"\\n", 1, 1, -1,
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],
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},
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],
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},
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{
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"name": "Levenshtein Distance: cost zero",
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"input": "kitten\nsitting",
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"expectedOutput": "0",
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"recipeConfig": [
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{
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"op": "Levenshtein Distance",
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"args": [
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"\\n", 0, 0, 0,
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],
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},
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],
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},
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]);
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