• Jan 26, 2023 •AustinLeath
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function printHeap(heap, index, level) { if (index >= heap.length) { return; } console.log(" ".repeat(level) + heap[index]); printHeap(heap, 2 * index + 1, level + 1); printHeap(heap, 2 * index + 2, level + 1); } //You can call this function by passing in the heap array and the index of the root node, which is typically 0, and level = 0. let heap = [3, 8, 7, 15, 17, 30, 35, 2, 4, 5, 9]; printHeap(heap,0,0)
• Nov 19, 2022 •CodeCatch
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const binarySearch = (arr, item) => { let l = 0, r = arr.length - 1; while (l <= r) { const mid = Math.floor((l + r) / 2); const guess = arr[mid]; if (guess === item) return mid; if (guess > item) r = mid - 1; else l = mid + 1; } return -1; }; binarySearch([1, 2, 3, 4, 5], 1); // 0 binarySearch([1, 2, 3, 4, 5], 5); // 4 binarySearch([1, 2, 3, 4, 5], 6); // -1
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const reverse = str => str.split('').reverse().join(''); reverse('hello world'); // Result: 'dlrow olleh'
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const primes = num => { let arr = Array.from({ length: num - 1 }).map((x, i) => i + 2), sqroot = Math.floor(Math.sqrt(num)), numsTillSqroot = Array.from({ length: sqroot - 1 }).map((x, i) => i + 2); numsTillSqroot.forEach(x => (arr = arr.filter(y => y % x !== 0 || y === x))); return arr; }; primes(10); // [2, 3, 5, 7]
let nums = [1,2,3,1] var containsDuplicate = function(nums) { let obj = {}; for(let i =0; i< nums.length; i++){ if(obj[nums[i]]){ obj[nums[i]] += 1; return true; }else{ obj[nums[i]] = 1; } } return false; }; console.log(containsDuplicate(nums));
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const celsiusToFahrenheit = (celsius) => celsius * 9/5 + 32; const fahrenheitToCelsius = (fahrenheit) => (fahrenheit - 32) * 5/9; // Examples celsiusToFahrenheit(15); // 59 celsiusToFahrenheit(0); // 32 celsiusToFahrenheit(-20); // -4 fahrenheitToCelsius(59); // 15 fahrenheitToCelsius(32); // 0