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(Draft) indexOf vs Regex
(version: 0)
Comparing performance of:
indexOf vs Regex
Created:
4 years ago
by:
Guest
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Tests:
indexOf
var hostname = 'fastshop.com.br'; var result = (hostname.indexOf('webapp2-qa') == 0 || hostname.indexOf('webapp2-dev') == 0 || hostname.indexOf('dev.fastshop') == 0) ? true : undefined;
Regex
var hostname = 'fastshop.com.br'; var result = /^webapp2-(qa|dev|develop)\.|dev.fastshop\./g.test(hostname);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
indexOf
Regex
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the benchmark and explain what's being tested. **Benchmark Overview** The benchmark compares the performance of two approaches to check if a string contains specific substrings: 1. `indexOf` method ( native JavaScript method) 2. Regular expression (`Regex`) approach **Options Compared** The two options are compared in terms of their execution time on different platforms, browsers, and devices. **Pros and Cons of Each Approach** * **`indexOf` method:** + Pros: - Wide support across browsers and platforms - Simple to implement - Fast lookup times ( O(n) on average) + Cons: - Can be slower than `Regex` for certain cases due to the need to iterate through the string - May not work as expected with non-ASCII characters or edge cases * **Regular expression (`Regex`) approach:** + Pros: - More flexible and powerful than `indexOf`, allowing for complex pattern matching - Can handle non-ASCII characters and edge cases more robustly + Cons: - Slower than `indexOf` in many cases due to the overhead of parsing and executing regular expressions - May not work as expected with certain character encodings or edge cases **Library Used** The benchmark uses no external libraries, relying on native JavaScript methods for the comparison. **Special JS Features/Syntax** No special features or syntax are mentioned in the provided information. However, it's worth noting that regular expressions can be complex and require a good understanding of regex patterns to use effectively. **Alternative Approaches** Other alternatives for string matching could include: * Using a dedicated library like `regex` or `string-matching` specifically designed for performance and flexibility * Implementing custom lookup tables or hash-based approaches for optimized performance * Utilizing hardware acceleration or native compilation techniques, like WebAssembly, to improve execution speed Keep in mind that these alternatives may have their own set of pros and cons, trade-offs, and compatibility issues. **Benchmark Preparation Code** The script preparation code is not provided, but it's likely a simple JavaScript snippet that sets up the test environment and variables for the benchmark. The HTML preparation code is also not available, which suggests that the focus is on the JavaScript implementation rather than the user interface or rendering aspects of the benchmark.
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