Benchmark: Test multiple difference method

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</script>

Tests:

Lodash
_.differenceWith(sourceData, targetData, (target, source) => target.value === source.value)
Filter
sourceData.filter(target => !targetData.some(source => (source.value === target.value)))
Reduce with Set
var tValues = new Set(...targetData.map(e => e.value)); sourceData.reduce((acc, v, k) => tValues.has(v.value) ? [] : v.value);
Reduce no set
sourceData.reduce((acc, v, k) => targetData.some(t => t.value === v.value) ? [] : v.value);
Filter with set
var tValues = new Set(targetData.map(e => e.value)); sourceData.filter(target => !tValues.has(target.value));

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Lodash
Filter
Reduce with Set
Reduce no set
Filter with set

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 27 days ago):

LLMs can make mistakes. Check important info.

It looks like you're trying to provide a test suite for benchmarking JavaScript functions, specifically comparing the performance of different approaches for filtering an array.

The data provided seems to be in JSON format, and it appears that there are four test cases:

1. **Filter with Set**: This test case uses a `Set` to filter out elements that match a target value.
2. **Lodash**: This test case uses the Lodash library's `differenceWith` function to perform the filtering.
3. **Reduce no set**: This test case uses the `reduce` method without a `Set` to filter out elements that match a target value.
4. **Filter**: This test case uses the traditional array filtering approach (`filter`) to remove elements that match a target value.

The benchmark results are also provided, which show the number of executions per second for each test case.

To answer your question: The best approach depends on the specific requirements and constraints of the project. Here's a brief analysis:

* **Filter with Set**: This approach is likely to be the fastest, as it uses a `Set` to efficiently check for membership. However, this approach may not be suitable if the data needs to be sorted or processed in any way.
* **Lodash**: Using a library like Lodash can add overhead, but it also provides a convenient and consistent API for filtering. If you need to perform similar filtering operations elsewhere in your codebase, using Lodash might make sense.
* **Reduce no set**: This approach is likely to be slower than the first two options, as it involves iterating over the array multiple times to filter out elements.

In general, if performance is a top priority, `Filter with Set` might be the best choice. However, if you need a more robust and flexible solution that can handle different use cases, using Lodash or another library might be a better fit.

If I had to give a definitive answer, it would depend on the specific requirements of your project. Can you provide more context about what you're trying to achieve?

Latest run results:

Run details: (Test run date: 2025 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36

Browser/OS: Chrome 63 on Windows

View result in a separate tab

Test name	Executions per second
Lodash	168.0 Ops/sec
Filter	94.0 Ops/sec
Reduce with Set	0.0 Ops/sec
Reduce no set	94.0 Ops/sec
Filter with set	7268.6 Ops/sec

Related benchmarks:

Test multiple difference method (version: 0)

Comparing performance of: Lodash vs Filter vs Reduce with Set vs Reduce no set vs Filter with set

Created: 6 years ago by: Guest

Jump to the latest result

Lodash

Filter

Reduce with Set

Reduce no set

Filter with set

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 27 days ago):