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map vs for loop 1e7 iterations
(version: 0)
Comparing performance of:
basic map vs taka map vs reverse map
Created:
4 years ago
by:
Registered User
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Script Preparation code:
Array.prototype.map1 = function() { const result = [] for(let i = 0, l = this.length; i < l; ++i) result.push(this[i]) return result } Array.prototype.reverseMap = function() { const result = [] for(let i = this.length; i;) { --i; result.push(this[i]) } return result }
Tests:
basic map
for (let i = 1e7; i; --i) [1, 2, 3, 4, 5].map(e => e * 2)
taka map
for (let i = 1e7; i; --i) [1, 2, 3, 4, 5].map1(e => e * 2)
reverse map
for (let i = 1e7; i; --i) [1, 2, 3, 4, 5].reverseMap(e => e * 2)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
basic map
taka map
reverse map
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 JSON and explore what's being tested. **Benchmark Definition** The benchmark definition is a script that prepares two custom array methods, `map1` and `reverseMap`. The purpose of these methods is to compare different approaches for iterating over an array. Here's a brief explanation: * `map1`: This method iterates over the array using a traditional `for` loop and pushes each element to a new result array. * `reverseMap`: This method iterates over the array in reverse order using a traditional `for` loop and pushes each element to a new result array. **Options being compared** The benchmark compares three different approaches: 1. **Basic Map**: The first test case uses the built-in `map()` function, which is a standard JavaScript method for iterating over an array. 2. **Custom Map (`map1`)**: The second test case uses the custom `map1` method, which is defined in the benchmark script. 3. **Reverse Custom Map (`reverseMap`)**: The third test case uses the custom `reverseMap` method. **Pros and Cons** * **Basic Map**: Pros: + Widely supported by most browsers and JavaScript engines. + Well-optimized and efficient. Cons: + May not be as fast or efficient for very large arrays due to its reliance on native browser optimizations. * **Custom Map (`map1`)**: Pros: + Can potentially offer better performance for specific use cases, as it's implemented in custom JavaScript code. Cons: + Requires additional overhead to create and execute the custom method. + May not be supported by all browsers or JavaScript engines. * **Reverse Custom Map (`reverseMap`)**: Pros: + Similar to `map1`, can potentially offer better performance for specific use cases. Cons: + Reverses the iteration order, which may not always be desirable. **Library and special JS feature** There is no external library being used in this benchmark. However, JavaScript engines like SpiderMonkey (used by Firefox) do have some built-in features that can affect the execution speed of code, such as: * **Just-In-Time (JIT) compilation**: Some browsers use JIT compilation to optimize performance-critical code. * **Native code generation**: Browsers may generate native machine code for certain operations, which can impact performance. It's worth noting that the `map()` function is a built-in JavaScript method that's optimized by most browsers and engines. The custom methods (`map1` and `reverseMap`) are designed to demonstrate potential performance differences in specific use cases. **Other alternatives** If you're interested in exploring alternative approaches, here are some options: * **Using native arrays**: Instead of using custom array methods, you can try using native JavaScript arrays (e.g., `Array.prototype`) or other data structures like `Buffer` or `DataView`. * **Using other iteration methods**: You can explore other iteration methods, such as `forEach()`, `reduce()`, or `filter()`, to compare their performance with the custom methods. * **Using different JavaScript engines or browsers**: Experimenting with different JavaScript engines (e.g., V8, SpiderMonkey) or browsers can help you understand how specific optimizations and features affect performance.
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