Benchmark: best effort - MeasureThat.net

Script Preparation code:

var a = [{
    subChallenges: [{
        state: "ACCEPTED"
    }, {
        state: false
    }, {
        state: "ACCEPTED"
    }]
}, {
    subChallenges: [{
        state: "ACCEPTED"
    }, {
        state: false
    }, {
        state: false
    }]
}, {
    subChallenges: [{
        state: "ACCEPTED"
    }, {
        state: false
    }, {
        state: false
    }]
}, {
    subChallenges: [{
        state: "ACCEPTED"
    }, {
        state: "ACCEPTED"
    }, {
        state: "ACCEPTED"
    }]
}]

function Function_0(challenges) {
    let count = 0;
    if (challenges) {
        challenges.map((challenge) => {
            if (
                challenge.subChallenges &&
                challenge.subChallenges.filter(
                    (subChallenge) => subChallenge.state !== "ACCEPTED"
                ).length === 0
            )
                count++;
        });
    }
    return count;
}

function Function_1(challenges) {
    let count = 0;
    if (challenges) {
        let i = challenges.length;

        while (i--) {
            let challenge = challenges[i];

            if (!challenge.subChallenges) {
                continue;
            }

            let j = challenge.subChallenges.length,
                truthy = true;

            while (j--) {
                if (challenge.subChallenges.state !== "ACCEPTED") {
                    truthy = false;
                }
            }

            if (truthy) {
                count++
            }
        }
    }

    return count;
}

Tests:

1
Function_0(a)
2
Function_1(a)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
1
2

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.

To explain what's tested on the provided JSON, I'll break down the benchmark into its components and discuss each part.

**Benchmark Definition**

The benchmark definition is represented by a JSON object that contains two main parts:

1. **Script Preparation Code**: This code defines an array of objects, where each object has a `subChallenges` property. The `subChallenges` array contains multiple objects with a `state` property set to either `"ACCEPTED"` or `false`. The script preparation code creates and populates this array.
2. **Function Definition**: Two functions are defined: `Function_0` and `Function_1`. These functions take an array of challenges as input and return the count of sub-challenges with a state of `"ACCEPTED"`, except for those with a state of `false`.

**Options Compared**

The two options being compared are:

1. **`Function_0`**: This function uses the `map()` method to iterate over the challenges array, filtering out sub-challenges with a non-"ACCEPTED" state.
2. **`Function_1`**: This function uses a while loop to iterate over the challenges array, checking each challenge's sub-challenges and incrementing the count if all are "ACCEPTED".

**Pros and Cons**

Here are some pros and cons of each approach:

* `Function_0`:
	+ Pros: More concise code using `map()` method.
	+ Cons: May have performance issues due to the overhead of the `map()` function.
* `Function_1`:
	+ Pros: Can be more efficient for large datasets, as it avoids the overhead of `map()`.
	+ Cons: Code is longer and more complex.

**Other Considerations**

In general, the choice between these two approaches depends on the specific requirements and constraints of your benchmark. If you prioritize conciseness and readability over performance, `Function_0` might be a better choice. However, if you need to optimize for speed or are working with large datasets, `Function_1` might be more suitable.

**Library**

There is no library explicitly mentioned in the benchmark definition. However, it's worth noting that some JavaScript engines and browsers may have internal libraries or optimizations that could impact the performance of these functions.

**Special JS Feature or Syntax**

This benchmark uses a few special features of JavaScript:

* `map()` method: This is a built-in method for iterating over arrays.
* While loops (`while (i--) { ... }`): These are used in both functions to iterate over the challenges array and sub-challenges.
* String interpolation (`\r\n challenge.subChallenges.state !== "ACCEPTED"`): This is used to access the `state` property of objects.

**Alternatives**

If you're interested in exploring alternative approaches, here are a few options:

* Use a different data structure instead of an array for challenges and sub-challenges.
* Compare these functions with other iterative methods, such as using `forEach()` or `reduce()`.
* Experiment with different optimizations, like memoization or caching, to improve performance.

Keep in mind that the best approach will depend on your specific use case and requirements.

Related benchmarks:

best effort (version: 0)

Comparing performance of: 1 vs 2

Created: 4 years ago by: Guest

Jump to the latest result

1

2

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):