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RegEx vs For Loop 4
(version: 0)
-
Comparing performance of:
For Loop vs RegEx
Created:
2 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
var string = "passw)odas4gsdfsdf";
Script Preparation code:
var string = "passw)odas4gsdfsdf";
Tests:
For Loop
const FORBIDDEN_CHARACTERS = [`<`, `>`, `&`, `$`]; for (const character of FORBIDDEN_CHARACTERS) { const position = string.indexOf(character); if (position !== -1) { return INVALID; } }
RegEx
const FORBIDDEN_CHARACTERS = [`<`, `>`, `&`, `$`]; const forbiddenRegex = new RegExp(`[${FORBIDDEN_CHARACTERS.join('')}]`); const match = forbiddenRegex.exec(string); if (match) { return INVALID; }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
For Loop
RegEx
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36
Browser/OS:
Chrome 120 on Linux
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Embed Benchmark Result
Test name
Executions per second
For Loop
6136471.5 Ops/sec
RegEx
3430198.2 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of JavaScript microbenchmarks. **Benchmark Definition** The benchmark defines two test cases: `For Loop` and `RegEx`. The test cases are designed to measure the performance difference between using a for loop and regular expressions (Regex) in JavaScript. The benchmark uses a predefined string (`string`) that contains some forbidden characters (`<`, `>`, `&`, `$`). The goal is to find the first occurrence of any of these characters in the string. **Options Compared** The two test cases compare the performance of: 1. **For Loop**: A traditional for loop approach, where we iterate over an array of forbidden characters and check each character's presence in the string using `indexOf()`. 2. **Regular Expressions (RegEx)**: A regex-based approach, where we create a regular expression pattern using the forbidden characters and use the `exec()` method to search for matches in the string. **Pros and Cons** **For Loop Approach** Pros: * Easy to understand and implement * Suitable for simple string operations Cons: * Can be slower than RegEx due to the overhead of iteration and `indexOf()` calls * May not perform well on large strings or complex patterns **RegEx Approach** Pros: * Fast and efficient, especially for complex patterns * Allows for more precise matching using flags (e.g., `g` for global search) Cons: * Can be more challenging to implement and debug due to the complexity of regex syntax * May require more resources (CPU, memory) for large strings or complex patterns **Other Considerations** * Both approaches have trade-offs in terms of performance, readability, and maintainability. * For simple string operations, a for loop might be sufficient. However, for more complex cases, RegEx can provide significant performance benefits. **Library Usage** In the benchmark definition, we don't see any explicit library usage. The `String.indexOf()` method is part of the built-in JavaScript String prototype. The regex engine is also built into JavaScript. However, if we were to use a third-party library for regular expressions, such as `regex-escape` or `regex-test`, it could potentially affect the benchmark results. **Special JS Features/Syntax** There are no special JS features or syntax mentioned in this benchmark definition. The code uses standard JavaScript features, such as `const`, `let`, and `for...of`. Now that we've dissected the benchmark, let's explore some alternative approaches: 1. **Regex alternatives**: Other regex flavors like PCRE (Perl-Compatible Regular Expressions) or Oniguruma might offer improved performance for specific use cases. 2. **Optimized String Methods**: Some browsers and engines provide optimized string methods, such as `String.prototype.indexOf()` with a hint for the search direction (e.g., forward). 3. **Native JavaScript Functions**: Modern JavaScript engines often include native functions for common string operations, like `String.prototype.search()`. 4. **Just-In-Time (JIT) Compilation**: Some browsers and engines use JIT compilation to optimize performance-critical code. Keep in mind that the choice of approach depends on the specific requirements of your project, such as readability, maintainability, and performance.
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