Benchmark: filterMapInPairs

Script Preparation code:

var elementsMap = {};

for (let i = 0; i < 1000; i++) {
  elementsMap['key_' + i] = { i };
}

function filterMapInPairs(map, predicate) {
    const result = {};
    for (const id1 in map) {
        if (result[id1])
            continue;
        for (const id2 in map) {
            if (id1 === id2)
                continue;
            if (predicate(map[id1], map[id2])) {
                result[id1] = map[id1];
                result[id2] = map[id2];
                break;
            }
        }
    }
    return result;
}

function filterMapInPairsOptimized(map, predicate) {
    const result = {};
    const ids = [];
    for (const id in map) {
        ids.push(id);
        if (ids.length !== 1 && predicate(map[ids[0]], map[id])) {
            result[ids[0]] = map[ids[0]];
            result[id] = map[id];
        }
    }
    for (let i = 1, { length } = ids; i < length; i++) {
        for (let j = i + 1; j < length; j++) {
            if ((!result[ids[i]] || !result[ids[j]]) &&
                predicate(map[ids[i]], map[ids[j]])) {
                result[ids[i]] = map[ids[i]];
                result[ids[j]] = map[ids[j]];
            }
        }
    }
    return result;
}

Tests:

filterMapInPairs
filterMapInPairs(elementsMap, (el1, el2) => ((el2.i - el1.i) % 10) === 0)
filterMapInPairsOptimized
filterMapInPairsOptimized(elementsMap, (el1, el2) => ((el2.i - el1.i) % 10) === 0)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
filterMapInPairs
filterMapInPairsOptimized

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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, compared options, pros and cons of those approaches, and other considerations.

**Benchmark Overview**

The test case `filterMapInPairs` is designed to measure the performance of two JavaScript functions: `filterMapInPairs` and its optimized version `filterMapInPairsOptimized`. Both functions are designed to filter a map of objects based on a given predicate (a function that takes two arguments).

**What's being tested?**

The benchmark tests how quickly each implementation can process the input data. The raw UA string, browser, device platform, operating system, and executions per second provide insight into the performance characteristics of different environments.

**Comparison Options**

There are two main comparison options:

1. **Original `filterMapInPairs` function**: This is a standard JavaScript implementation that uses nested loops to iterate through the map.
2. **Optimized `filterMapInPairsOptimized` function**: This optimized version takes advantage of certain properties and behaviors in JavaScript to reduce the number of iterations.

**Pros and Cons**

* **Original `filterMapInPairs` function**:
	+ Pros: Easy to understand, straightforward implementation.
	+ Cons: High computational complexity due to nested loops.
* **Optimized `filterMapInPairsOptimized` function**:
	+ Pros: Improved performance through optimized logic and reduced iterations.
	+ Cons: Requires a good understanding of JavaScript internals and potentially complex implementation.

**Other Considerations**

1. **Use of libraries or external dependencies**: Neither test case uses any external libraries. However, the input data is created using a `for` loop, which might be optimized by the browser's just-in-time (JIT) compiler.
2. **Special JavaScript features or syntax**: The optimized function leverages some subtle aspects of JavaScript, such as:
	* Using an array `ids` to keep track of indices and avoid redundant iterations.
	* Utilizing a single loop iteration to process both pairs of elements simultaneously.

**Alternatives**

If you were to implement this benchmark yourself, consider using alternative approaches, such as:

1. **Using modern JavaScript features**: Take advantage of newer features like arrow functions, template literals, or `let`/`const` declarations.
2. **Profiling and optimization techniques**: Use tools like the browser's DevTools Profiler or a third-party profiler to identify performance bottlenecks in your implementation.
3. **Different data structures**: Experiment with alternative data structures, such as arrays of objects or objects of arrays, to see how they affect performance.

Keep in mind that this benchmark is designed to test the relative performance of two specific implementations, so exploring other approaches and optimizations might not directly compare to the results obtained from MeasureThat.net.

Related benchmarks:

filterMapInPairs (version: 0)

Comparing performance of: filterMapInPairs vs filterMapInPairsOptimized

Created: 3 years ago by: Registered User

Jump to the latest result

filterMapInPairs

filterMapInPairsOptimized

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):