Benchmark: bfbcvbvbbv - MeasureThat.net

Tests:

reduceRight
[1,2,3,4,5].reduceRight((acc, val) => acc+=val, 0);
reverse reduce
[1,2,3,4,5].reverse().reduce((acc, val) => acc+=val, 0);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
reduceRight
reverse reduce

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 Definition**

The benchmark definition is represented by a JSON object that contains two properties: `Script Preparation Code` and `Html Preparation Code`. However, in this case, both of these properties are set to `null`, which means that no preparation code is required for the benchmark. The script will be executed directly from the provided JavaScript string.

**Test Cases**

There are two individual test cases:

1. **"reduceRight"`**: This test case executes the following JavaScript code: `[1,2,3,4,5].reduceRight((acc, val) => acc+=val, 0);`. The `reduceRight` method is used to reduce an array from right to left, accumulating the values in a callback function. In this case, the accumulator (`acc`) is initialized with 0, and each value in the array is added to it.

2. **"reverse reduce"`**: This test case executes the following JavaScript code: `[1,2,3,4,5].reverse().reduce((acc, val) => acc+=val, 0);`. The `reverse` method is used to reverse the order of the elements in the array, and then the `reduce` method is called with the reversed array. Again, the accumulator is initialized with 0, and each value in the array (or its reversed version) is added to it.

**Options Compared**

In this benchmark, two options are being compared:

*   **`reduceRight`**: This approach reduces the array from right to left, which may be faster for arrays that are already sorted or nearly sorted, as it avoids unnecessary comparisons.
*   **`reverse + reduce`**: This approach reverses the entire array first and then reduces it. This can be slower because reversing an array involves creating a new array and shifting elements around.

**Pros and Cons**

Here are some pros and cons of each approach:

*   `reduceRight`:
    *   Pros: Faster for sorted or nearly sorted arrays, avoids unnecessary comparisons.
    *   Cons: May not be suitable for unsorted arrays, as it can lead to slower performance due to the need to sort part of the array first.

*   `reverse + reduce`:
    *   Pros: Suitable for unsorted arrays, as reversing an array only involves shifting elements around in memory. This approach may be faster for larger arrays.
    *   Cons: Requires more computations (creating a new reversed array), which can be slower for very large arrays.

**Other Considerations**

*   **Browser vs Browser**: The benchmark measures the performance difference between two browsers (Opera 83) running on different devices (Desktop).
*   **Execution Frequency per Second**: The benchmark reports the number of executions per second, providing insight into the execution frequency of each test case.
*   **Device Platform and Operating System**: This information can be useful for understanding how the performance may vary across different platforms.

**Special JS Feature or Syntax**

There are no special JavaScript features or syntax used in this benchmark. The code is standard JavaScript.

**Alternative Approaches**

If you want to optimize the `reduceRight` approach, consider the following:

*   Use a more efficient sorting algorithm (like radix sort) for large arrays.
*   Implement `reduceRight` using a single pass through the array instead of recursively calling it.

Related benchmarks:

bfbcvbvbbv (version: 0)

bvbvcbvvb

Comparing performance of: reduceRight vs reverse reduce

Created: 4 years ago by: Guest

Jump to the latest result

reduceRight

reverse reduce

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):