Benchmark: Fib Now2 - MeasureThat.net

HTML Preparation code:

<script src="https://www.jsdelivr.com/package/npm/memoizee"></script>

Tests:

Fib Base
const fibonacci = (n) => { if (n <= 1) return 1; return fibonacci(n - 1) + fibonacci(n - 2); }; fibonacci(20);
Fib memoized 1
const memoize = function(func) { var stringifyJson = JSON.stringify, cache = {}; var cachedfun = function() { var hash = stringifyJson(arguments); return hash in cache ? cache[hash] : (cache[hash] = func.apply(this, arguments)); }; cachedfun.__cache = function() { cache.remove || (cache.remove = function() { var hash = stringifyJson(arguments); return delete cache[hash]; }); return cache; }.call(this); return cachedfun; }; const fibonacci = memoize((n) => { if (n <= 1) return 1; return fibonacci(n - 1) + fibonacci(n - 2); }); fibonacci(20);
Fib memoized Tommy
const memoize = function(func) { const cache= {} return (...args) => { const n = args[0] if (n in cache) { return cache[n]; } else { const result = func(n) cache[n] = result return result } } }; const fibonacci = memoize((n) => { if (n <= 1) return 1; return fibonacci(n - 1) + fibonacci(n - 2); }); fibonacci(20);
Fib fast-memoize
// // Main // function memoize (fn, options) { var cache = options && options.cache ? options.cache : cacheDefault var serializer = options && options.serializer ? options.serializer : serializerDefault var strategy = options && options.strategy ? options.strategy : strategyDefault return strategy(fn, { cache: cache, serializer: serializer }) } // // Strategy // function isPrimitive (value) { return value == null || typeof value === 'number' || typeof value === 'boolean' // || typeof value === "string" 'unsafe' primitive for our needs } function monadic (fn, cache, serializer, arg) { var cacheKey = isPrimitive(arg) ? arg : serializer(arg) var computedValue = cache.get(cacheKey) if (typeof computedValue === 'undefined') { computedValue = fn.call(this, arg) cache.set(cacheKey, computedValue) } return computedValue } function variadic (fn, cache, serializer) { var args = Array.prototype.slice.call(arguments, 3) var cacheKey = serializer(args) var computedValue = cache.get(cacheKey) if (typeof computedValue === 'undefined') { computedValue = fn.apply(this, args) cache.set(cacheKey, computedValue) } return computedValue } function assemble (fn, context, strategy, cache, serialize) { return strategy.bind( context, fn, cache, serialize ) } function strategyDefault (fn, options) { var strategy = fn.length === 1 ? monadic : variadic return assemble( fn, this, strategy, options.cache.create(), options.serializer ) } function strategyVariadic (fn, options) { var strategy = variadic return assemble( fn, this, strategy, options.cache.create(), options.serializer ) } function strategyMonadic (fn, options) { var strategy = monadic return assemble( fn, this, strategy, options.cache.create(), options.serializer ) } // // Serializer // function serializerDefault () { return JSON.stringify(arguments) } // // Cache // function ObjectWithoutPrototypeCache () { this.cache = Object.create(null) } ObjectWithoutPrototypeCache.prototype.has = function (key) { return (key in this.cache) } ObjectWithoutPrototypeCache.prototype.get = function (key) { return this.cache[key] } ObjectWithoutPrototypeCache.prototype.set = function (key, value) { this.cache[key] = value } var cacheDefault = { create: function create () { return new ObjectWithoutPrototypeCache() } } const fibonacci = memoize((n) => { if (n <= 1) return 1; return fibonacci(n - 1) + fibonacci(n - 2); }); fibonacci(20);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Fib Base
Fib memoized 1
Fib memoized Tommy
Fib fast-memoize

Fastest: N/A

Slowest: N/A

Latest run results:

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

Related benchmarks:

Fib Now2 (version: 0)

Comparing performance of: Fib Base vs Fib memoized 1 vs Fib memoized Tommy vs Fib fast-memoize

Created: 6 years ago by: Guest

Jump to the latest result

Fib Base

Fib memoized 1

Fib memoized Tommy

Fib fast-memoize

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):