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IntersectionwithLodashVsCustomObjectBased
(version: 0)
Comparing performance of:
Lodash vs ObjectBased
Created:
5 years ago
by:
Registered User
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HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
Script Preparation code:
var a = [], b = [], c = [], d = [], i; for (i = 0; i < 1000; i++) { a.push(Math.floor(Math.random() * 1000) + 1); b.push(Math.floor(Math.random() * 1000) + 1); c.push(Math.floor(Math.random() * 1000) + 1); d.push(Math.floor(Math.random() * 1000) + 1); }
Tests:
Lodash
_.intersection(a,b,c,d);
ObjectBased
var intersection = (function(){ return function(){ var len = arguments.length; var here = [...arguments]; let hashObject = {}; let returnarr=[]; for(var i=0;i<len;i++){ if(!i) here[i].forEach(num => hashObject[num] = i); else{ here[i].forEach(num=>{ if(hashObject.hasOwnProperty(num) && hashObject[num] === i-1){ hashObject[num]=i; if(i===len-1) returnarr.push(parseInt(num)) } }) } } return returnarr; } }()); intersection(a,b,c,d);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Lodash
ObjectBased
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark and its various components. **Benchmark Definition JSON** The benchmark definition JSON provides information about the benchmark, including its name, description, script preparation code, HTML preparation code (which includes a reference to Lodash), and individual test cases. **Script Preparation Code** The script preparation code creates four arrays (`a`, `b`, `c`, `d`) of size 1000 each, filled with random numbers between 1 and 1000. These arrays will be used as input for the benchmark's intersection function. **HTML Preparation Code** The HTML preparation code includes a reference to Lodash version 4.17.5, which is used in one of the test cases. **Individual Test Cases** There are two individual test cases: 1. **Lodash** * Benchmark Definition: `_.intersection(a,b,c,d);` * This test case uses the Lodash library to perform an intersection operation on the four arrays (`a`, `b`, `c`, `d`). 2. **ObjectBased** * Benchmark Definition: `var intersection = (function(){...});` * *This test case defines a custom object-based implementation of the intersection function, which is then called with the same input arrays as Lodash.* **Options Compared** The two test cases compare the performance of: 1. Using an external library (Lodash) to implement the intersection function. 2. Implementing the intersection function from scratch using a custom object-based approach. **Pros and Cons of Each Approach** * **Lodash:** + Pros: - Faster execution time, as Lodash is a well-maintained and optimized library. - Less code to write and maintain. + Cons: - External dependency on the Lodash library, which may affect performance or security. - May not be suitable for all use cases or environments where Lodash is not available or supported. * **ObjectBased:** + Pros: - More control over implementation details and optimization opportunities. - No external dependencies or potential security risks. + Cons: - Requires more code to write and maintain, which can lead to maintenance overhead. - May result in slower execution times due to the custom implementation. **Other Considerations** * The benchmark uses a Windows-specific browser (Chrome 83) to execute the tests. Other platforms or browsers may yield different results. * The test cases use arrays as input data, but other data structures or inputs (e.g., objects, numbers, etc.) may be used in real-world scenarios. **Alternatives** Other alternatives for implementing an intersection function include: 1. Using built-in array methods like `filter()` and `reduce()`. 2. Implementing a custom algorithm using bitwise operations. 3. Utilizing other libraries or frameworks that provide similar functionality (e.g., `d3` for data analysis). Keep in mind that the choice of implementation depends on the specific requirements, performance constraints, and personal preference of the developer.
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