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anagram getHash
(version: 0)
Comparing performance of:
Sort vs hashCode
Created:
6 years ago
by:
Guest
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Script Preparation code:
var word = 'длинноесловодлясортировкипримердлинноесловодлясортировкипримердлинноесловодлясортировкипримердлинноесловодлясортировкипримердлинноесловодлясортировкипримердлинноесловодлясортировкипримердлинноесловодлясортировкипримердлинноесловодлясортировкипример'; function hashCode(str) { const codes = {}; for (i = 0; i < str.length; i += 1) { const chr = str.charCodeAt(i); codes[chr] = codes[chr] ? codes[chr] + 1 : 1; } let result = ''; for(i in codes){ result+="/" + i + codes[i]; } return result; };
Tests:
Sort
word.split('').sort().join('');
hashCode
hashCode(word);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Sort
hashCode
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**What is being tested?** The provided benchmark measures the performance of two different JavaScript functions: `hashCode` and `sort`. The `hashCode` function calculates the hash code for a given string, while the `sort` function sorts an array of strings. **Options compared** There are three options being compared: 1. **Sort**: This option uses the built-in `Array.prototype.sort()` method to sort an array of strings. 2. **hashCode**: This option uses the custom `hashCode` function to calculate the hash code for a given string. 3. **Default JavaScript behavior**: The benchmark also measures the performance of JavaScript's default behavior, which is likely to be some implementation of sorting or hashing. **Pros and Cons** * **Sort**: + Pros: Simple, widely supported, and efficient (at least in theory). + Cons: May not be optimized for performance, can be slow for large datasets, and may have a high memory footprint. * **hashCode**: + Pros: Custom implementation can be optimized for performance, provides more control over the hashing algorithm. + Cons: Requires manual maintenance to ensure correct implementation, can be slower than built-in sorting algorithms. **Library used** The `hashCode` function uses an object called `codes` to store character codes and their corresponding frequencies. This library is not a typical JavaScript library, but rather a custom implementation of a hash code generator. **Special JS feature or syntax** There are no special JavaScript features or syntaxes being tested in this benchmark. The focus is on the performance of simple algorithms like sorting and hashing. **Other alternatives** If you want to write your own sorting algorithm, you could consider using: * Bubble sort * Selection sort * Insertion sort * Merge sort * Quick sort For hashing, you could use: * SHA-256 (a widely used cryptographic hash function) * MD5 (another commonly used hash function) Keep in mind that these alternatives may not be optimized for performance and may have different trade-offs compared to the built-in JavaScript sorting and hashing algorithms. **Benchmark preparation code** The benchmark preparation code is a simple script that defines two functions: `hashCode` and an empty `sort` function. The `hashCode` function takes a string input and returns its corresponding hash code, while the `sort` function simply sorts an array of strings using the built-in `Array.prototype.sort()` method. **Individual test cases** The benchmark includes two individual test cases: * **Sort**: This test case measures the performance of sorting an array of strings using the built-in `Array.prototype.sort()` method. * **hashCode**: This test case measures the performance of calculating the hash code for a given string using the custom `hashCode` function. These test cases provide a simple and well-defined way to measure the performance of these two algorithms.
Related benchmarks:
Hashing
Hashing-2
string-hashcode
string-hashcode2
string-hashcode3
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