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* chore: Switch to Node 20 + Vitest * chore: migrate to vitest mock functions * chore: code style (switch to prettier) * test: re-enable long-running test Seems the switch to Node 20 and Vitest has vastly improved the code's and / or the test's runtime! see #1193 * chore: code style * chore: fix failing tests * Updated Documentation in README.md * Update contribution guidelines to state usage of Prettier * fix: set prettier printWidth back to 80 * chore: apply updated code style automatically * fix: set prettier line endings to lf again * chore: apply updated code style automatically --------- Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com> Co-authored-by: Lars Müller <34514239+appgurueu@users.noreply.github.com>
87 lines
2.9 KiB
JavaScript
87 lines
2.9 KiB
JavaScript
/* Ternary search is similar to binary search but it divides the sorted array
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* into three parts and determines which part the key lies in. The array will
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* be divided into three intervals by using two middle points, mid1 and mid2.
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* The value of the key will first be compared with the two mid points, the value
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* will be returned if there is a match. Then, if the value of the key is less
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* than mid1, narrow the interval to the first part. Else, if the value of the
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* key is greater than mid2, narrow the interval to the third part. Otherwise,
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* narrow the interval to the middle part. Repeat the steps until the value is
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* found or the interval is empty (value not found after checking all elements).
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*
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* Reference: https://www.geeksforgeeks.org/ternary-search/
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*/
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function ternarySearchRecursive(arr, key, low = 0, high = arr.length - 1) {
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if (high >= low) {
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// find the mid1 and mid2
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const mid1 = Math.floor(low + (high - low) / 3)
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const mid2 = Math.floor(high - (high - low) / 3)
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// check if key is found at any mid
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if (arr[mid1] === key) {
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// return index of key if found
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return mid1
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}
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if (arr[mid2] === key) {
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// return index of key if found
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return mid2
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}
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// since the key is not found at mid,
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// check in which region it is present
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// and repeat the Search operation
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// in that region
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if (key < arr[mid1]) {
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// the key lies in between low and mid1
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return ternarySearchRecursive(arr, key, low, mid1 - 1)
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} else if (key > arr[mid2]) {
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// the key lies in between mid2 and high
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return ternarySearchRecursive(arr, key, mid2 + 1, high)
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} else {
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// the key lies in between mid1 and mid2
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return ternarySearchRecursive(arr, key, mid1 + 1, mid2 - 1)
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}
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} else {
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// if low > high => we have searched the whole array without finding the item
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return -1
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}
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}
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function ternarySearchIterative(arr, key, low = 0, high = arr.length - 1) {
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while (high >= low) {
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// find the mid1 and mid2
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const mid1 = Math.floor(low + (high - low) / 3)
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const mid2 = Math.floor(high - (high - low) / 3)
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// check if key is found at any mid
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if (arr[mid1] === key) {
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// return index of key if found
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return mid1
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}
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if (arr[mid2] === key) {
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// return index of key if found
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return mid2
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}
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// since the key is not found at mid,
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// check in which region it is present
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// and repeat the Search operation
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// in that region
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if (key < arr[mid1]) {
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// the key lies in between low and mid1
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high = mid1 - 1
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} else if (key > arr[mid2]) {
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// the key lies in between mid2 and high
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low = mid2 + 1
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} else {
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// the key lies in between mid1 and mid2
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low = mid1 + 1
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high = mid2 - 1
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}
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}
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// the key was not found
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return -1
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}
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export { ternarySearchRecursive, ternarySearchIterative }
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