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q_cshade1
(version: 0)
cshade
Comparing performance of:
shade1_3 vs shade1_6 vs shade2_3 vs shade2_6
Created:
3 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
function colorShade1(color, amount) { let [r, g, b] = color.length === 3 ? color.split('').map((str) => Number.parseInt(str + str, 16) + amount) : color.match(/.{2}/g).map((str) => Number.parseInt(str, 16) + amount); } function colorShade2(color, amount) { if (color.length === 3) color = color[0] + color[0] + color[1] + color[1] + color[2] + color[2]; // Get r,g,b as numbers and with amount applied let r = Number.parseInt(color.substring(0,2), 16) + amount; let g = Number.parseInt(color.substring(2,4), 16) + amount; let b = Number.parseInt(color.substring(4,6), 16) + amount; }
Tests:
shade1_3
colorShade1('AEF', 10);
shade1_6
colorShade1('36A2EB', 10);
shade2_3
colorShade2('AEF', 10);
shade2_6
colorShade2('36A2EB', 10);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (4)
Previous results
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Test case name
Result
shade1_3
shade1_6
shade2_3
shade2_6
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Measuring performance differences in JavaScript microbenchmarks can be an intriguing topic. **Benchmark Definition JSON** The provided JSON represents the benchmark definition for a simple color-shading function, `colorShade1` and `colorShade2`. The functions take two arguments: a hex color code and an amount value. The purpose of these functions is to demonstrate how different approaches can be used to create shades of colors. **Script Preparation Code** The script preparation code is where the actual logic for generating shades of colors is implemented. There are two versions: 1. `colorShade1(color, amount)`: This function uses a single line of code to parse the hex color code and apply the specified amount. 2. `colorShade2(color, amount)`: This function creates a new string by duplicating each character in the original color code (except for the third character, which is duplicated twice), then parses the resulting string to extract the RGB values. **Options being compared** The two functions (`colorShade1` and `colorShade2`) represent different approaches to solving the same problem: * **Direct parsing**: `colorShade1` uses a single line of code to parse the hex color code, which is more efficient but might not be as accurate. * **String manipulation**: `colorShade2` creates a new string by duplicating each character in the original color code, then parses the resulting string. This approach can lead to slower performance due to string creation and parsing. **Pros and Cons of each approach** * **Direct parsing (colorShade1)**: + Pros: Fast execution time, accurate results. + Cons: Limited flexibility if the input format changes. * **String manipulation (colorShade2)**: + Pros: Flexible for different input formats, can be adapted to other use cases. + Cons: Slower execution time due to string creation and parsing. **Other considerations** * The benchmark measures the number of executions per second, which is a common metric for measuring performance in JavaScript microbenchmarks. Other metrics, such as throughput or latency, might also be relevant depending on the specific requirements of the use case. * The benchmark uses Firefox 102 as the target browser, which might not represent all user bases. Additional benchmarks with different browsers and platforms could provide more comprehensive results. **Library and syntax usage** Neither of the functions explicitly uses a library. However, they do demonstrate the use of: * `Number.parseInt(str, 16)`: A built-in JavaScript function to parse a hexadecimal string. * String manipulation techniques, such as `split`, `map`, and `substring`, which are also built-in or commonly used in JavaScript. **Special JS features** This benchmark does not rely on any special JavaScript features. It uses only standard language features, making it accessible to a wide range of developers. **Alternatives** Other alternatives for measuring performance differences in JavaScript microbenchmarks include: * **Benchmarking libraries**: Libraries like Benchmark.js or jsPerf provide more advanced features and flexibility for creating benchmarks. * **Profiling tools**: Tools like Chrome DevTools or Node.js Inspector can help identify performance bottlenecks in code, but might require more expertise to set up and interpret. I hope this explanation helps software engineers understand the basics of measuring performance differences in JavaScript microbenchmarks.
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