
Two strings are deemed close if they can be transformed into one another through a series of character operations. Specifically, there are two types of permissible operations:
abcde to aecdb by swapping b with e.aacabb to bbcbaa involves converting all occurrences of a to b and vice versa.Both operations can be repeatedly applied to either of the strings to achieve similarity. The challenge is to determine whether one string can be transformed into the other by these operations, returning true if so, and false otherwise.
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Explanation:
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Explanation: It is impossible to attain word2 from word1, or vice versa, in any number of operations.
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Explanation:
1 <= word1.length, word2.length <= 105word1 and word2 contain only lowercase English letters.Given the operations allowed:
From these operations, a few fundamental conditions must be met for two strings, word1 and word2, to be considered close:
From the examples:
word1 to look exactly like word2 using operations primarily focusing on the position of characters.word1 to word2.To programmatically determine if two strings are close:
This approach directly leverages the described operations to validate the closeness of two strings based on character content and frequency, rather than their specific ordering or direct character-to-character mapping.
This solution addresses the problem of determining if two strings, str1 and str2, are "close," which involves checking several conditions based on the characters' frequency and the types of characters used in both strings. The solution is implemented in C++ and encapsulated in a class method areCloseStrings.
str1 and str2. If they differ, the function immediately returns false indicating the strings are not close.count1 and count2, initialized to size 26 (corresponding to the letters a-z) with all values set to 0. These vectors count the frequency of each character in str1 and str2 respectively.bitmask1 and bitmask2, are used to store a bitmask that represents the unique characters present in str1 and str2. As you iterate over each character in the strings, update the respective character's frequency in the count vectors and update the bitmask using bitwise OR operation.bitmask1 and bitmask2. If they differ, return false as this implies the sets of characters in the strings are different.count1 and count2. This is to prepare for a position-by-position comparison of the frequency of characters.false, otherwise, after the loop, return true indicating the strings are close according to the given conditions.By efficiently using bitmasking for character set comparison and sorting for frequency matching, the solution ensures that two strings are close only when they share identical character sets and the characters can be rearranged to match each other’s frequencies.
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