const matrix = [
[2, 4],
[6, 8],
];
const result = matrix.reduceRight((acc, row) => acc.concat(row.map(num => num * 2)), []);
console.log(result);
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β€9 4π3π€£3
What is the output?
Anonymous Quiz
51%
[4, 8, 12, 16]
16%
[8, 6, 4, 2]
23%
[12, 16, 4, 8]
10%
[2, 4, 6, 8]
π11π€10 8β€4π€£1
No dependencies, but uses whatever precise timing capabilities are available (e.g.
process.hrtime or `peformance.now`). You can then benchmark whatever functions you want, specify how long or how many times to benchmark for, and get a variety of stats in return.TINYLIBS
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β€5π3 3
async function asyncArrayOperations() {
const array1 = [1, 2, 3];
const array2 = [4, 5, 6];
const result = await Promise.all([array1, array2].map(async arr => {
return await arr.reduce(async (acc, num) => {
return (await acc) + num;
}, Promise.resolve(0));
}));
console.log(result);
}
asyncArrayOperations();
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β€8π2π₯1
What is the output?
Anonymous Quiz
14%
[10, 20]
36%
[1, 2, 3, 4, 5, 6]
40%
[6, 15]
10%
This will result in an error.
β€7 5π4
Building content search functionality for Next.js project almost always requires deep understanding of how the text similarity search works. Nowadays we have text transformer AI Models from HuggingFace and Vector Databases that easily could be integrated to Next.js giving the powerful similarity search functionality with a blasting speed! This video below explains this in detail.
Tigran Tech
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const matrix = [
[1, 2, 3],
[4, 5, 6],
[7, 8, 9],
];
async function asyncSumOfEvenNumbers(matrix) {
const result = await matrix.flat().filter(async num => {
return await Promise.resolve(num % 2 === 0);
});
return result.reduce((acc, num) => acc + num, 0);
}
asyncSumOfEvenNumbers(matrix).then(result => console.log(result));
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π6
π€30β€7 7π4π€©3
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π€£96β€7π€5π€©4 3
async function asyncSumOfSquares() {
const numbers = [1, 2, 3, 4, 5];
const result = await numbers.reduce(async (acc, num) => {
const currentSquare = await Promise.resolve(num * num);
return (await acc) + currentSquare;
}, Promise.resolve(0));
console.log(result);
}
asyncSumOfSquares();
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π10π₯2β€1
π14 8β€3π€©1
Together, we're creating a community that thrives on knowledge, support, and positive vibes.
Cheers to 9K and beyond!
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β€13 12π9π€©2
const array = [1, 2, 3, 4, 5];
const result = array.map(num => Promise.resolve(num * 2));
console.log(result);
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β€9π3π₯1
What is the output?
Anonymous Quiz
60%
[2, 4, 6, 8, 10]
25%
[Promise, Promise, Promise, Promise, Promise]
10%
[undefined, undefined, undefined, undefined, undefined]
6%
This will result in an error.
π€23π8 8β€2
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async function complexAsyncFunction() {
const promise1 = new Promise(resolve => setTimeout(() => resolve(10), 1000));
const promise2 = new Promise(resolve => setTimeout(() => resolve(20), 500));
const result = await Promise.race([promise1, promise2]);
console.log(result);
}
complexAsyncFunction();
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β€14π5π€©4
The AHA Stack is a full-stack webapp approach that brings together Astro, htmx, and Alpine.js, and where you send HTML over the wire. This is a fantastic showcase site that sells the idea well, complete with explanations and examples.
FLAVIO COPES
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π8β€6π€£5π€©1
const array = [
{ name: 'John', score: 80 },
{ name: 'Jane', score: 95 },
{ name: 'Doe', score: 88 },
];
const result = array.every(obj => obj.score >= 80);
console.log(result);
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β€10π5π€3
What is the output?
Anonymous Quiz
53%
[true, true, true]
7%
[false, false, false]
10%
false
30%
true
β€19π6π€©5 3π€£2
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π€£60β€4π4π€2