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dash vs camel case
(version: 0)
Comparing performance of:
dash vs camel
Created:
9 years ago
by:
Guest
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Script Preparation code:
var dash = {'a-b': 1, 'c-d': 2}; var camel = {aB: 1, cD: 2};
Tests:
dash
console.log(dash['a-b'], dash['c-d']);
camel
console.log(dash.aB, dash.cD);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
dash
camel
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/131.0.0.0 Safari/537.36
Browser/OS:
Chrome 131 on Windows
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Test name
Executions per second
dash
336773.0 Ops/sec
camel
317787.8 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**Overview of the Benchmark** The provided benchmark is designed to compare the performance of two JavaScript object notation styles: dash-case and camelCase. The goal is to measure which notation style provides better performance in terms of execution speed. **Script Preparation Code** The script preparation code defines two JavaScript objects, `dash` and `camel`, with identical key-value pairs but using different notations: ```javascript var dash = {'a-b': 1, 'c-d': 2}; var camel = {aB: 1, cD: 2}; ``` **Html Preparation Code** There is no HTML preparation code provided, which suggests that the benchmark focuses solely on JavaScript performance and does not consider other factors like DOM manipulation or event handling. **Test Cases** The benchmark consists of two test cases: 1. `dash`: Measures the execution time of accessing keys in dash-case notation using bracket notation (`dash['a-b']`, `dash['c-d']`). 2. `camel`: Measures the execution time of accessing keys in camelCase notation using bracket notation (`dash.aB`, `dash.cD`). **Library and Syntax** In this benchmark, no specific JavaScript libraries are used beyond the built-in `console.log()` function. However, it's worth noting that some JavaScript features like template literals (used in the script preparation code) or classes (not mentioned in the test cases) may be enabled by default in some browsers. In this case, these features do not appear to be relevant to the benchmark's focus on object notation performance. **Options Compared** The two options being compared are: * Dash-case notation (`dash['a-b']`, `dash['c-d']`) * CamelCase notation (`dash.aB`, `dash.cD`) These notations differ in how keys are accessed and referenced within objects. The benchmark aims to determine which approach is faster. **Pros and Cons** Here's a brief analysis of the pros and cons of each approach: Dash-case Notation: Pros: * Often used in other programming languages (e.g., Python, Unix) * Can be more readable for certain types of data Cons: * May require more characters to write * Bracket notation can lead to typos or errors if not used carefully CamelCase Notation: Pros: * Can be more concise and readable for some developers * Often used in JavaScript and other dynamically-typed languages Cons: * Less common in other programming languages (e.g., Python, Unix) * May be more prone to camelCase conflicts (e.g., `isLoggedIn` vs. `isLoggedIn`) **Other Alternatives** If you're interested in exploring alternative notation styles or benchmarking approaches, here are a few examples: 1. **Underscore notation**: This notation uses single underscores (`_`) to denote special characters and is often used in CSS selectors. 2. **PascalCase notation**: Similar to camelCase, but with uppercase letters for the first letter of each word (e.g., `MyVariable`). 3. **Kebab-case notation**: Uses hyphens instead of dashes or underscores to separate words. You can experiment with these notations in your own JavaScript projects and see how they affect performance using benchmarking tools like MeasureThat.net. Keep in mind that performance differences between notation styles are often negligible unless you're working on extremely large-scale applications or optimizing for specific use cases. In general, focus on code readability, maintainability, and consistency when choosing a notation style.
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