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feat: implementation of Booth's algorithm for lexicographically minim…
…al rotation of a string.
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/** | ||
* Booth's Algorithm finds the lexicographically minimal rotation of a string. | ||
* Time Complexity: O(n) - Linear time where n is the length of input string | ||
* Space Complexity: O(n) - Linear space for failure function array | ||
* For More Visit - https://en.wikipedia.org/wiki/Booth%27s_multiplication_algorithm | ||
* @example | ||
* Input: "baca" | ||
* All possible rotations: | ||
* - "baca" | ||
* - "acab" | ||
* - "caba" | ||
* - "abac" | ||
* Output: "abac" (lexicographically smallest) | ||
* | ||
* How it works: | ||
* 1. Doubles the input string to handle all rotations | ||
* 2. Uses failure function (similar to KMP) to find minimal rotation | ||
* 3. Maintains a pointer to the start of minimal rotation found so far | ||
* @param {string} str - Input string to find minimal rotation | ||
* @returns {string} - Lexicographically minimal rotation of the input string | ||
* @throws {Error} - If input is not a string or is empty | ||
*/ | ||
export function findMinimalRotation(str) { | ||
if (typeof str !== 'string') { | ||
throw new Error('Input must be a string') | ||
} | ||
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if (str.length === 0) { | ||
throw new Error('Input string cannot be empty') | ||
} | ||
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// Double the string for rotation comparison | ||
// This allows us to check all rotations by just sliding a window | ||
const s = str + str | ||
const n = s.length | ||
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// Initialize failure function array | ||
const f = new Array(n).fill(-1) | ||
let k = 0 // Starting position of minimal rotation | ||
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//Algorithm's implementation | ||
// Iterate through the doubled string | ||
// j is the current position we're examining | ||
for (let j = 1; j < n; j++) { | ||
// i is the length of the matched prefix in the current candidate | ||
// Get the failure function value for the previous position | ||
let i = f[j - k - 1] | ||
// This loop handles the case when we need to update our current minimal rotation | ||
// It compares characters and finds if there's a better (lexicographically smaller) rotation | ||
while (i !== -1 && s[j] !== s[k + i + 1]) { | ||
// If we find a smaller character, we've found a better rotation | ||
// Update k to the new starting position | ||
if (s[j] < s[k + i + 1]) { | ||
// j-i-1 gives us the starting position of the new minimal rotation | ||
k = j - i - 1 | ||
} | ||
// Update i using the failure function to try shorter prefixes | ||
i = f[i] | ||
} | ||
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// This block updates the failure function and handles new character comparisons | ||
if (i === -1 && s[j] !== s[k + i + 1]) { | ||
// If current character is smaller, update the minimal rotation start | ||
if (s[j] < s[k + i + 1]) { | ||
k = j | ||
} | ||
//If no match found,mark failure function accordingly | ||
f[j - k] = -1 | ||
} else { | ||
//If match found, extend the matched length | ||
f[j - k] = i + 1 | ||
} | ||
} | ||
// After finding k (the starting position of minimal rotation): | ||
// 1. slice(k): Take substring from position k to end | ||
// 2. slice(0, k): Take substring from start to position k | ||
// 3. Concatenate them to get the minimal rotation | ||
return str.slice(k) + str.slice(0, k) | ||
} |
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import { findMinimalRotation } from '../BoothsAlgorithm' | ||
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describe('BoothsAlgorithm', () => { | ||
it('should throw an error if input is not a string', () => { | ||
expect(() => findMinimalRotation(null)).toThrow('Input must be a string') | ||
expect(() => findMinimalRotation(undefined)).toThrow( | ||
'Input must be a string' | ||
) | ||
expect(() => findMinimalRotation(123)).toThrow('Input must be a string') | ||
expect(() => findMinimalRotation([])).toThrow('Input must be a string') | ||
}) | ||
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it('should throw an error if input string is empty', () => { | ||
expect(() => findMinimalRotation('')).toThrow( | ||
'Input string cannot be empty' | ||
) | ||
}) | ||
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it('should find minimal rotation for simple strings', () => { | ||
expect(findMinimalRotation('abc')).toBe('abc') | ||
expect(findMinimalRotation('bca')).toBe('abc') | ||
expect(findMinimalRotation('cab')).toBe('abc') | ||
}) | ||
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it('should handle strings with repeated characters', () => { | ||
expect(findMinimalRotation('aaaa')).toBe('aaaa') | ||
expect(findMinimalRotation('aaab')).toBe('aaab') | ||
expect(findMinimalRotation('baaa')).toBe('aaab') | ||
}) | ||
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it('should handle strings with special characters', () => { | ||
expect(findMinimalRotation('12#$')).toBe('#$12') | ||
expect(findMinimalRotation('@abc')).toBe('@abc') | ||
expect(findMinimalRotation('xyz!')).toBe('!xyz') | ||
}) | ||
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it('should handle longer strings', () => { | ||
expect(findMinimalRotation('algorithm')).toBe('algorithm') | ||
expect(findMinimalRotation('rithmalgo')).toBe('algorithm') | ||
expect(findMinimalRotation('gorithmal')).toBe('algorithm') | ||
}) | ||
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it('should be case sensitive', () => { | ||
expect(findMinimalRotation('AbC')).toBe('AbC') | ||
expect(findMinimalRotation('BcA')).toBe('ABc') | ||
expect(findMinimalRotation('CAb')).toBe('AbC') | ||
}) | ||
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it('should handle palindromes', () => { | ||
expect(findMinimalRotation('radar')).toBe('adarr') | ||
expect(findMinimalRotation('level')).toBe('ellev') | ||
}) | ||
}) |