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merge: Add test cases, optamization of code, and Add description of function (#848)
* Add test cases, optamization of code, and Add description of function * update testcase
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@@ -1,19 +1,36 @@
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// https://en.wikipedia.org/wiki/Binary_search_algorithm
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// Search the integer inside the sorted integers array using Binary Search Algorithm
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/**
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* @function BinarySearch
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* @description Search the integer inside the sorted integers array using Binary Search Algorithm.
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* @param {Integer[]} arr - sorted array of integers
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* @param {Integer} low - The input integer
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* @param {Integer} high - The input integer
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* @param {Integer} searchValue - The input integer
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* @return {Integer} - return index of searchValue if found else return -1.
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* @see [BinarySearch](https://en.wikipedia.org/wiki/Binary_search_algorithm)
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*/
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export const BinarySearch = (intArr, searchQuery) => {
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if (searchQuery === null || searchQuery === undefined || intArr.length === 0) {
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return false
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const binarySearch = (arr, low = 0, high = arr.length - 1, searchValue) => {
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if (high >= low) {
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const mid = low + Math.floor((high - low) / 2)
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// If the element is present at the middle
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if (arr[mid] === searchValue) {
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return mid
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}
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// If element is smaller than mid, then
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// it can only be present in left subarray
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if (arr[mid] > searchValue) {
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return binarySearch(arr, low, mid - 1, searchValue)
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}
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// Else the element can only be present in right subarray
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return binarySearch(arr, mid + 1, high, searchValue)
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}
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const middleIndex = intArr.length === 1 ? 0 : Math.ceil(intArr.length / 2)
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if (intArr[middleIndex] === searchQuery) {
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return true
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} else if (intArr.length > 1) {
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return intArr[middleIndex] < searchQuery ? BinarySearch(intArr.slice(1, middleIndex)) : BinarySearch(intArr.slice(middleIndex))
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} else {
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return false
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}
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// We reach here when element is not present in array
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return -1
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}
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export { binarySearch }
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