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fake-binary
(version: 0)
Tests the efficiency between using .replace() and .split().map().join() to edit single character values in a string that only contains numbers.
Comparing performance of:
Conversion vs Replacement
Created:
8 years ago
by:
Guest
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Tests:
Conversion
function fakeBin(strNums) { return strNums.split("") .map(num => num = num < 5 ? 0 : 1) .join("") } console.log(fakeBin("123456789"))
Replacement
function fakeBin2(x) { return x.replace(/\d/g, n => "0000011111"[n]) } console.log(fakeBin2("987654321"))
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Conversion
Replacement
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/121.0.0.0 Safari/537.36
Browser/OS:
Chrome 121 on Linux
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Test name
Executions per second
Conversion
391939.2 Ops/sec
Replacement
333657.0 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark and explain what's being tested, the options compared, their pros and cons, and other considerations. **Benchmark Overview** The MeasureThat.net benchmark compares two approaches for editing single character values in a string that only contains numbers: 1. **Conversion**: Using `split()`, `map()`, and `join()` to convert characters. 2. **Replacement**: Using `replace()` with a regular expression to replace characters. **Options Compared** Both benchmarks aim to measure the efficiency of these two approaches for editing single character values in a string that only contains numbers. The main difference is in the implementation: * Conversion: Splits the string into an array, maps each number to either 0 or 1 based on its value, and then joins the resulting array back into a string. * Replacement: Uses `replace()` with a regular expression to replace each digit (`\d`) with a fixed string ("0000011111"). **Pros and Cons** * **Conversion**: + Pros: Explicit and clear logic, easy to understand and maintain. + Cons: May be slower due to the overhead of creating an array and joining it back into a string. * **Replacement**: + Pros: Can be faster since it avoids the overhead of creating an array and joining it back into a string. It also uses a fixed replacement pattern, which might be optimized by the browser's regex engine. + Cons: May lead to unexpected behavior if the replacement pattern is not correctly specified or if it conflicts with other regex patterns. **Library Used** Neither benchmark explicitly uses any libraries beyond JavaScript's built-in functions and the `console.log()` function. However, some browsers may optimize the `replace()` method using a regex engine that is specific to those browsers (e.g., Chrome's regex engine). **Special JS Feature/Syntax** There are no special JavaScript features or syntax used in these benchmarks. **Other Considerations** When running this benchmark on different devices or browsers, it's essential to consider factors like: * Browser version and configuration * Device platform (Desktop, Mobile, etc.) * Operating System * Network connectivity and latency These factors can impact the execution speed of the benchmarks due to differences in JavaScript engine optimization, caching, and memory management. **Alternatives** If you're interested in exploring alternative approaches or optimizing these benchmarks further, consider: 1. **Regex alternatives**: Investigate whether using different regex patterns or optimizations (e.g., `String.prototype.replace()` with a callback function) can lead to better performance. 2. **Array operations**: Explore other array operations like `forEach()`, `reduce()`, or `filter()` to see if they provide comparable performance to the original benchmarks. 3. **Native JavaScript functions**: Look into native JavaScript functions that might offer better performance for this specific use case, such as `String.prototype.replace()` with a regular expression. Keep in mind that benchmarking is an iterative process, and exploring different approaches will help you find the most efficient solution for your specific use case.
Related benchmarks:
Which is more efficient .replace() or .split().map().join()
fake-binary
dna-transcription
substring vs. slice vs. replace to remove string from end of input string
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