Benchmark: oke testing prim

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>

Previous results

Test case name	Result
pure prime func
with memoization prime func

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.

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.

Related benchmarks:

oke testing prim (version: 0)

Comparing performance of: pure prime func vs with memoization prime func

Created: 6 years ago by: Guest

Jump to the latest result

pure prime func

with memoization prime func

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):