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Object compare (raw or stringify)
(version: 0)
Comparing performance of:
stringify vs raw
Created:
one year ago
by:
Guest
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Tests:
stringify
const obj = { prop1: 123456, prop2: "123456", prop3: true } console.debug('test');
raw
const obj = { prop1: 123456, prop2: "123456", prop3: true } console.debug('test');
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
stringify
raw
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0 Safari/537.36
Browser/OS:
Chrome 128 on Windows
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Test name
Executions per second
stringify
344059.5 Ops/sec
raw
345155.3 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark and explain what's being tested. **Benchmark Definition JSON** The benchmark definition is a simple JSON object that defines two test cases: `raw` and `stringify`. The script preparation code is empty, which means that the test cases don't require any initial setup or execution. The HTML preparation code is also empty, indicating that no HTML-related tests are being performed. **Test Cases** The benchmark consists of two individual test cases: 1. **Stringify**: This test case creates an object `obj` with three properties: `prop1`, `prop2`, and `prop3`. The values are a number (`123456`), a string (`"123456"`), and a boolean (`true`). The benchmark then prints "test" to the console. 2. **Raw**: This test case is identical to the previous one, except that it doesn't use the `Stringify` function. Instead, it creates an object literal directly in the JavaScript code. **Options Compared** The two test cases are comparing the performance of: * Using a stringification library (not explicitly used in this benchmark) vs. * Creating an object literal without any special formatting (the "raw" option). **Pros and Cons** * **Raw**: This approach is simple and straightforward, as it doesn't require any additional libraries or formatting. However, it may lead to less readable code and potentially slower execution times due to the lack of optimization. * **Stringify**: Using a stringification library can provide better performance and readability. However, it requires an additional dependency (the library) and may introduce extra overhead. **Library: Lodash** The `Stringify` test case uses the `lodash.stringify()` function from the Lodash library. The purpose of this function is to recursively serialize objects into a string format that can be easily compared or stored in data structures like JSON. In this benchmark, the `Stringify` option is used to compare the performance of using such a library versus not using it. **Special JS Feature/Syntax** There are no special JavaScript features or syntax used in these test cases beyond what's standard for creating objects and strings. **Other Alternatives** If you wanted to modify this benchmark, you could consider adding more test cases that: * Compare different stringification libraries (e.g., JSON.stringify() vs. Lodash.stringify()) * Use alternative object creation methods (e.g., using `Object.create()` or a custom constructor) * Include browser-specific optimizations (e.g., using Web Workers or async/await) Keep in mind that these changes would require updating the benchmark definition and test cases to accommodate the new requirements. I hope this explanation helps!
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