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12312312
(version: 0)
Comparing performance of:
34123423412342 vs 2312412342134
Created:
2 years ago
by:
Guest
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Tests:
34123423412342
const a = {}; for (let i = 0; i < 1000000; i++) { a[i] = i; } JSON.stringify(a);
2312412342134
const a = {}; for (let i = 0; i < 100000; i++) { a[i] = i; } JSON.stringify(a);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
34123423412342
2312412342134
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36
Browser/OS:
Chrome 120 on Mac OS X 10.15.7
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Test name
Executions per second
34123423412342
10.4 Ops/sec
2312412342134
187.2 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net. **What is being tested?** The provided benchmark tests the performance of creating and stringifying large objects in JavaScript. Specifically, it measures how quickly an object can be created with a large number of properties (using a for loop) and then converted to a JSON string using `JSON.stringify()`. **Options compared:** There are two test cases: 1. **Test Case 1**: The benchmark definition is: `const a = {}; for (let i = 0; i < 1000000; i++) { a[i] = i; } JSON.stringify(a);` * This test case creates an object with 1 million properties and then converts it to a JSON string using `JSON.stringify()`. 2. **Test Case 2**: The benchmark definition is: `const a = {}; for (let i = 0; i < 100000; i++) { a[i] = i; } JSON.stringify(a);` * This test case creates an object with 100,000 properties and then converts it to a JSON string using `JSON.stringify()`. **Pros and Cons:** 1. **Test Case 1 (1 million properties)**: + Pros: It tests the performance of creating large objects with many properties. + Cons: Creating such a large object may not be representative of real-world scenarios, as most applications don't require objects with that many properties. 2. **Test Case 2 (100,000 properties)**: * Pros: This test case is more representative of real-world scenarios, where objects often have fewer properties than the first test case. * Cons: It may not be as revealing about performance in extreme cases. **Other considerations:** 1. **Language features:** These benchmarks don't seem to exploit any special JavaScript language features or syntax, so they are relatively straightforward. 2. **Library usage:** Neither benchmark uses a specific library for its test case, which means the focus is solely on the JavaScript engine's performance. **Alternatives:** MeasureThat.net provides various other benchmarking tools and options for testing different aspects of JavaScript performance. Some examples include: 1. **Memory allocation benchmarks**: Tests memory allocation and deallocation efficiency. 2. **Garbage collection benchmarks**: Measures the impact of garbage collection on performance. 3. **Regular expression performance benchmarks**: Compares the performance of regular expressions under various conditions. These alternatives provide more nuanced tests that can help diagnose specific performance issues or optimize JavaScript code for different use cases. I hope this explanation helps!
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