
The task is to merge multiple user accounts into unique ones based on common email addresses found among them. We are provided with a list named accounts, where each sublist represents an individual's account that includes the person's name followed by their email addresses. It is important to note that the existence of one or more shared email addresses across these sublists is the indicator that they belong to the same individual.
A critical detail in the merging process is that, even if two accounts share a name, they will be considered separate unless a common email address is found. This is accounted for since people may share names but have different accounts. Once accounts are identified for merging, the consolidated account should have emails sorted in lexicographical order, and each account should continue to start with the user's name. The final output is not required to maintain any specific order for the accounts.
Input:
Output:
Explanation:
Input:
Output:
1 <= accounts.length <= 10002 <= accounts[i].length <= 101 <= accounts[i][j].length <= 30accounts[i][0] consists of English letters.accounts[i][j] (for j > 0) is a valid email.Given the problem requires the merging of accounts based on commonalities in email addresses among potentially fragmented account information, it is analogous to identifying connected components in a graph:
Modeling the Accounts as a Graph:
Utilize Union-Find Data Structure:
Mapping and Compaction:
Reconstruction of the Final Account List:
This approach effectively aggregates scattered account information into organized, consolidated account records using graph theory concepts combined with efficient data structures for set management.
The given C++ solution tackles the problem of merging accounts based on shared email addresses using a Disjoint Set Union (DSU) data structure. Let's break down the implementation:
Introduce a DisjointSetUnion class designed to manage the connectivity of account indices. This includes methods for performing find operations to identify the root of a set, and union operations using rank to maximize efficiency.
Within the DSU class:
find method to optimize future operations.unionByRank method to keep the tree's height minimal.Introduce a main class, Solution, which processes merging tasks utilizing the DSU:
unionByRank.Post union-find operations:
Sort the emails in each merged account to maintain an orderly output.
This design leverages the DSU structure efficiently to handle merging operations, ensuring that linked accounts are accurately and systematically merged based on shared emails. The solution ensures scalability and efficiency suitable for handling a large number of accounts and email connections.
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