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Just a random replace test 1
(version: 1)
Comparing performance of:
test1 vs test2
Created:
3 years ago
by:
Registered User
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Tests:
test1
const radix = '.' const regex = /\B(?=(\d{3})+(?!\d))/g const separator = ' ' const value = '111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111' function insertSeparators () { const parts = value.split(radix) parts[0] = parts[0].replace(regex, separator) return parts.join(radix) } insertSeparators()
test2
const radix = '.' const separator = ' ' const value = '111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111' function insertSeparators () { let [int, dec] = value.split(radix) int = BigInt(int).toLocaleString() int = int.replace(',', separator) return [int, dec].join(radix) } insertSeparators()
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
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Test case name
Result
test1
test2
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**Overview** MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. The provided benchmark definition json represents two individual test cases, each with its own script preparation code. Our goal is to explain what is tested in these test cases, compare different options, discuss pros and cons of those approaches, and describe any special JavaScript features or syntax used. **Test Case 1: "Just a random replace test 1"** The first test case uses the `String.prototype.replace()` method with a regular expression to replace all occurrences of a specific pattern in a large string. The pattern is defined as `\\B(?=(\\d{3})+(?!\\d))`, which matches any digit (0-9) that is part of a group of three digits (`(\\d{3})`) followed by a negative lookahead assertion (`(?!\\d)`). **Script Preparation Code** The script preparation code for this test case is empty, indicating that no additional setup or initialization is required. **Test Case 2: "Just a random replace test 2"** The second test case also uses the `String.prototype.replace()` method with a regular expression to replace all occurrences of a specific pattern in a large string. However, this time, the pattern involves splitting the input string into two parts using `BigInt` and then converting one part back to a string. **Script Preparation Code** The script preparation code for this test case includes some setup to split the input string into two parts using `BigInt`, convert one part back to a string, and then use `String.prototype.replace()` to replace the pattern. **Options Compared** In both test cases, the same regular expression is used (`\\B(?=(\\d{3})+(?!\\d))`). However, the approaches differ in how they handle the large input strings: 1. **Test Case 1**: Uses `String.prototype.replace()` with a single pass over the entire string. 2. **Test Case 2**: Splits the input string into two parts using `BigInt`, converts one part back to a string, and then uses `String.prototype.replace()`. **Pros and Cons** Here are some pros and cons of each approach: 1. **Test Case 1 (single pass)**: * Pros: Simple and efficient. * Cons: May be slower due to the large input size. 2. **Test Case 2 (splitting and converting)**: * Pros: May be faster due to the reduced input size, but introduces additional overhead from `BigInt` and string conversion. * Cons: More complex and potentially slower. **Special JavaScript Features or Syntax** Neither test case uses any special JavaScript features or syntax beyond regular expressions. However, Test Case 2 does use `BigInt`, which is a relatively new feature introduced in ECMAScript 2020. **Other Alternatives** If the benchmark aims to optimize string replacement performance for large input strings, other alternatives could include: 1. Using a more efficient string replacement algorithm, such as the Boyer-Moore algorithm. 2. Utilizing a specialized library or framework optimized for string processing, such as `string-parsing`. 3. Exploring hardware acceleration options, such as GPU-based string processing. Keep in mind that these alternatives may introduce additional complexity and trade-offs, and should be carefully evaluated based on the specific requirements of the benchmark.
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String.replace() vs String.replaceAll()
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