Benchmark: memoize test - MeasureThat.net

HTML Preparation code:

<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>

Script Preparation code:

function getPip(digits) {
    return 1 / 10 ** digits;
}

window.memoizedGetPip = _.memoize(getPip);

Tests:

getPip(5)
getPip(100)
memoizedGetPip(5)
memoizedGetPip(100)
1 / 10 ** digits
1 / 10 ** 100

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
getPip(5)
memoizedGetPip(5)
1 / 10 ** digits

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/134.0.0.0 Safari/537.36

Browser/OS: Chrome 134 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
getPip(5)	103076704.0 Ops/sec
memoizedGetPip(5)	20986722.0 Ops/sec
1 / 10 ** digits	100349272.0 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the benchmark definition and test cases to understand what is being tested.

**Benchmark Definition JSON**

The `Script Preparation Code` section defines a JavaScript function `getPip(digits)` that returns `1 / 10 ** digits`. This function is then wrapped in a memoization function using Lodash (`window.memoizedGetPip = _.memoize(getPip)`). The purpose of memoization is to cache the result of expensive function calls so that they can be reused instead of recalculated.

**Individual Test Cases**

The test cases are designed to measure the performance of different approaches:

1. `getPip(100)`: This test case measures the execution time of the original `getPip(digits)` function with a large input value (100).
2. `memoizedGetPip(5)`: This test case measures the execution time of the memoized version of the `getPip(digits)` function with a small input value (5). The memoization cache is expected to reduce the number of calculations required.
3. `1 / 10 ** digits`: This test case measures the execution time of the pure JavaScript expression, which calculates the result directly without calling the `getPip(digits)` function.

**Options Compared**

The three test cases compare different approaches:

* **Original Function (`getPip(100)`)**: Measures the performance of the original function without memoization.
* **Memoized Function (`memoizedGetPip(5)`)**: Measures the performance of the memoized version of the function, which is expected to be faster due to caching.
* **Pure JavaScript Expression (`1 / 10 ** digits`)**: Measures the performance of a pure JavaScript expression that calculates the result directly without calling the `getPip(digits)` function.

**Pros and Cons**

* **Original Function (`getPip(100)`)**:
	+ Pros: Simple to understand and implement.
	+ Cons: Can be slow due to repeated calculations.
* **Memoized Function (`memoizedGetPip(5)`)**:
	+ Pros: Caches results, reducing the number of calculations required.
	+ Cons: Requires additional memory for storing cached values.
* **Pure JavaScript Expression (`1 / 10 ** digits`)**:
	+ Pros: Simple and efficient for direct calculations.
	+ Cons: May not be suitable for complex calculations or large input values.

**Library and Special JS Features**

The test case uses Lodash, a popular JavaScript utility library. The `_.memoize()` function is used to create the memoized version of the `getPip(digits)` function.

There are no special JS features mentioned in the benchmark definition. However, it's worth noting that some modern JavaScript engines and browsers have built-in optimizations or support for certain features like WebAssembly, which may impact performance benchmarks.

**Alternatives**

Other alternatives to measure the performance of similar functions might include:

* Using a different memoization library or implementation (e.g., `lodash Memoize` vs. `fastMemoize`)
* Comparing the performance of different programming languages or runtimes (e.g., JavaScript vs. C++ vs. Python)
* Measuring the performance of optimized or compiled versions of the function
* Including additional test cases to measure performance under specific conditions (e.g., high concurrency, large input values)

Related benchmarks:

memoize test (version: 0)

Comparing performance of: getPip(5) vs memoizedGetPip(5) vs 1 / 10 ** digits

Created: 4 years ago by: Guest

Jump to the latest result

getPip(5)

memoizedGetPip(5)

1 / 10 ** digits

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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