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MDS Test
(version: 0)
Testing Parser Performance
Comparing performance of:
Old vs New
Created:
9 years ago
by:
Guest
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Script Preparation code:
var line = 'LSD|*|1|*|4185|*|4185|*|487|*|1337|*|Metabolic Disease Enzyme Replacement, Severe Comb Immune Def*~*' var nthIndex = function(str, pat, n) { var i; for (i = 0; n > 0 && i !== -1; n -= 1) { i = str.indexOf(pat, i ? (i + 1) : i); } return i; };
Tests:
Old
var parsedLine = line.substring(line.indexOf('|*|', (line.indexOf('|*|') + 3)) + 3).replace(/\\/g, '') return parsedLine;
New
var parsedLine = line.substring(nthIndex(line, '|*|', 2) + 3).replace(/\\/g, '') return parsedLine;
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Old
New
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'd be happy to explain the benchmark and its various components. **Benchmark Overview** The provided JSON represents a JavaScript microbenchmarking test on MeasureThat.net. The test is designed to measure the performance of two different approaches for parsing a specific string pattern in JavaScript. **Script Preparation Code** The script preparation code is a JavaScript function that defines a line string `line` containing the target pattern to be parsed: ``` var line = 'LSD|*|1|*|4185|*|4185|*|487|*|1337|*|Metabolic Disease Enzyme Replacement, Severe Comb Immune Def*~*' ``` The script also defines a nested function `nthIndex` that takes three arguments: the input string `str`, the pattern to search for `pat`, and an optional parameter `n`. The purpose of this function is to find the index of the nth occurrence of the pattern in the string. **Benchmark Definition** The benchmark definition consists of two test cases: 1. **Old**: This test case uses a simple string manipulation approach to parse the line string: ``` var parsedLine = line.substring(line.indexOf('|*|', (line.indexOf('|*|') + 3)) + 3).replace(/\\\\/g, '') ``` This code substrings the line starting from the first occurrence of `|*|` (plus 3 characters) and then removes any backslashes (`\`) from the resulting string. 2. **New**: This test case uses the previously defined nested function `nthIndex` to parse the line string: ``` var parsedLine = line.substring(nthIndex(line, '|*|', 2) + 3).replace(/\\\\/g, '') ``` This code calls the `nthIndex` function with the input string and pattern as arguments, then substrings from the resulting index plus 3 characters. Finally, it removes any backslashes from the resulting string. **Library and Special JavaScript Features** In this benchmark, no libraries are explicitly mentioned. However, the use of the `indexOf` method on a string is standard JavaScript syntax. No special JavaScript features or syntax are used in these test cases. **Options Compared** The two test cases compare two different approaches for parsing the line string: 1. **Simple Substring Extraction**: The "Old" test case uses a straightforward substring extraction approach. 2. **Nested Function Approach**: The "New" test case uses a nested function (`nthIndex`) to find the index of the first occurrence of `|*|` and then extracts the desired substring. **Pros and Cons** Here are some pros and cons of each approach: 1. **Simple Substring Extraction (Old)**: * Pros: Simple, easy to understand, and well-documented. * Cons: May not be efficient for large strings or multiple occurrences of `|*|`. 2. **Nested Function Approach (New)**: * Pros: Can handle multiple occurrences of `|*|` efficiently by using the index returned by `nthIndex`. Reduces code duplication. * Cons: More complex, requires understanding of nested functions and their applications. **Other Considerations** When evaluating performance, consider factors like: 1. String manipulation overhead 2. Number of occurrences of `|*|` 3. Browser engine support for regular expressions **Alternatives** If you were to reimplement this benchmark or create a similar one, consider using: 1. Regular Expressions (RegEx) instead of string manipulation approaches. 2. Use cases where RegEx is more suitable and efficient. The use of RegEx would simplify the `nthIndex` function and reduce code duplication. However, be mindful that RegEx can have overhead due to compilation and matching.
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