Bernt
1a12fb870b
- New /developers/ page with API docs, SDKs, pricing, use cases - OpenAPI 3.0 spec for Orders, Missions, Photos, Analytics - Case study: Glasskiosken i Flatenbadet — complete ROI analysis - Updated /order/ with recurring missions and frequency dropdown
40 lines
998 B
JSON
40 lines
998 B
JSON
{
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"name": "fast-levenshtein",
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"version": "2.0.6",
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"description": "Efficient implementation of Levenshtein algorithm with locale-specific collator support.",
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"main": "levenshtein.js",
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"files": [
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"levenshtein.js"
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],
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"scripts": {
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"build": "grunt build",
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"prepublish": "npm run build",
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"benchmark": "grunt benchmark",
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"test": "mocha"
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},
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"devDependencies": {
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"chai": "~1.5.0",
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"grunt": "~0.4.1",
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"grunt-benchmark": "~0.2.0",
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"grunt-cli": "^1.2.0",
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"grunt-contrib-jshint": "~0.4.3",
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"grunt-contrib-uglify": "~0.2.0",
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"grunt-mocha-test": "~0.2.2",
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"grunt-npm-install": "~0.1.0",
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"load-grunt-tasks": "~0.6.0",
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"lodash": "^4.0.1",
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"mocha": "~1.9.0"
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},
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"repository": {
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"type": "git",
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"url": "https://github.com/hiddentao/fast-levenshtein.git"
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},
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"keywords": [
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"levenshtein",
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"distance",
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"string"
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],
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"author": "Ramesh Nair <ram@hiddentao.com> (http://www.hiddentao.com/)",
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"license": "MIT"
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}
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