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oke testing prim
(version: 0)
Comparing performance of:
pure prime func vs with memoization prime func
Created:
6 years ago
by:
Guest
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Script Preparation code:
function generatePrimeNum(num) { const arrNum = []; const isPrime = (num) => { for (let i = 2; i < num; i++) if (num % i === 0) return false; return num > 1; }; let i = 0; while (arrNum.length !== num) { if (isPrime(i)) arrNum.push(i); i += 1; } return arrNum } function memoizer(fun){ let cache = {} return function (n){ if (cache[n] != undefined ) { return cache[n] } else { let result = fun(n) cache[n] = result return result } } }
Tests:
pure prime func
generatePrimeNum(10)
with memoization prime func
const memoPrimeFunc = memoizer(generatePrimeNum) memoPrimeFunc(10)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
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Test case name
Result
pure prime func
with memoization prime func
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark and explain what's being tested. **Benchmark Overview** The benchmark measures the performance of two different implementations of a prime number generation function: `generatePrimeNum` without memoization (`pure prime func`) and with memoization (`with memoization prime func`). The benchmark is run on a Chrome 90 browser on a Mac OS X 10.14.5 desktop device. **Benchmark Definition JSON** The `Script Preparation Code` section defines two functions: 1. `generatePrimeNum(num)`: generates an array of prime numbers up to the input number `num`. 2. `memoizer(fun)`: creates a memoized version of the input function `fun`. **Options Compared** Two options are compared: 1. **Without Memoization (`pure prime func`)**: The original implementation of `generatePrimeNum` without any optimization or caching. 2. **With Memoization (`with memoization prime func`)**: A variant of `generatePrimeNum` that uses the `memoizer` function to cache its results, improving performance by avoiding redundant calculations. **Pros and Cons** * **Without Memoization (pure prime func)**: + Pros: Simple implementation, easy to understand. + Cons: Inefficient due to repeated calculations, leading to slower performance. * **With Memoization (with memoization prime func)**: + Pros: Caching reduces the number of redundant calculations, resulting in faster performance. + Cons: Requires an additional layer of complexity and memory usage for caching. **Library** The `memoizer` function uses a simple caching mechanism by storing intermediate results in an object (`cache`) with the input value as the key. This allows the function to return cached results instead of recalculating them, reducing the number of computations. **Special JS Feature or Syntax** There is no special JavaScript feature or syntax used in this benchmark. The implementation relies on standard JavaScript functions and data structures. **Other Alternatives** To optimize the `generatePrimeNum` function without memoization, alternative approaches could include: * Using a more efficient algorithm for prime number generation, such as the Sieve of Eratosthenes. * Utilizing multi-threading or parallel processing to take advantage of multiple CPU cores. * Applying optimization techniques like inlining, dead code elimination, or register blocking. In terms of alternative memoization strategies, other options could include: * Using a more advanced caching mechanism, such as a least-recently-used (LRU) cache or a time-to-live (TTL) cache. * Implementing a more sophisticated memoization algorithm, such as a recursive function with memoized calls. However, for the `generatePrimeNum` function specifically, the simple caching approach implemented in the `memoizer` function is likely sufficient and easy to understand.
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