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for vs reduce for object
(version: 0)
Comparing performance of:
reduce vs for
Created:
2 years ago
by:
Guest
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Script Preparation code:
var gsmCells = [ { "countrycode": 250, "operatorid": 2, "lac": 9703, "cellid": 23446, "signal_strength": -75 }, { "countrycode": 250, "operatorid": 2, "lac": 9703, "cellid": 59141, "signal_strength": -76 }, { "countrycode": 250, "operatorid": 2, "lac": 9703, "cellid": 6924, "signal_strength": -80 }, { "countrycode": 250, "operatorid": 2, "lac": 9703, "cellid": 23449, "signal_strength": -81 } ];
Tests:
reduce
gsmCells.reduce((prev, curr) => prev.signal_strength > curr.signal_strength ? prev : curr );
for
let max = gsmCells[0]; for(let i = 0; i < gsmCells.length; i++){ if(gsmCells[i].signal_strength > max.signal_strength) max = gsmCells[i]; }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
reduce
for
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/121.0.0.0 Safari/537.36
Browser/OS:
Chrome 121 on Mac OS X 10.15.7
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Embed Benchmark Result
Test name
Executions per second
reduce
16359835.0 Ops/sec
for
2031256.5 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided JSON and explain what is tested on MeasureThat.net. **Benchmark Definition** The benchmark definition represents a JavaScript function that compares the signal strength of gsmCells objects using two different approaches: 1. `reduce`: The `reduce` method is used to find the object with the maximum signal strength. 2. `for`: A traditional `for` loop is used to iterate through the `gsmCells` array and update the `max` variable if a cell with higher signal strength is found. **Options Compared** The two options being compared are: * `reduce`: A built-in JavaScript method that applies a callback function to each element in an array, reducing it to a single value. * `for`: A traditional loop construct used for iterating through arrays or other iterable objects. **Pros and Cons of Each Approach** * `reduce`: + Pros: Concise, efficient, and easy to read. + Cons: May be less intuitive for developers who are not familiar with array methods, can be slower than traditional loops in some cases due to the overhead of the callback function. * `for`: + Pros: Well-known and widely used, allowing developers to easily understand the code. + Cons: Can be longer and more verbose than `reduce`, potentially leading to less efficient execution. **Library** The `gsmCells` array is an example of a JavaScript array, which is an object that stores multiple values in a single unit. The `signal_strength` property is a nested value within each object. In this benchmark, the `reduce` method is used to find the object with the maximum signal strength, while the `for` loop iterates through the array and updates the `max` variable accordingly. **Special JavaScript Feature** There is no special JavaScript feature or syntax mentioned in the provided code. However, it's worth noting that some newer JavaScript features, such as `let` and `const`, may be used in the actual benchmark code but are not explicitly mentioned in the provided examples. **Other Alternatives** If you wanted to implement this benchmark using a different approach, here are some alternatives: * Using `Math.max()`: You could use the `Math.max()` function to find the maximum signal strength directly within the array. * Using `Array.prototype.map()` and `Array.prototype.reduce()` together: You could use `map()` to create a new array with only the signal strengths and then apply `reduce()` to find the maximum value. However, since MeasureThat.net already provides a way to run and compare different JavaScript approaches using its built-in test cases and benchmarking framework, exploring these alternatives may not be necessary.
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