<p>Given a list of <code>accounts</code> where each element <code>accounts[i]</code> is a list of strings, where the first element <code>accounts[i][0]</code> is a name, and the rest of the elements are <strong>emails</strong> representing emails of the account.</p>

<p>Now, we would like to merge these accounts. Two accounts definitely belong to the same person if there is some common email to both accounts. Note that even if two accounts have the same name, they may belong to different people as people could have the same name. A person can have any number of accounts initially, but all of their accounts definitely have the same name.</p>

<p>After merging the accounts, return the accounts in the following format: the first element of each account is the name, and the rest of the elements are emails <strong>in sorted order</strong>. The accounts themselves can be returned in <strong>any order</strong>.</p>

<p>&nbsp;</p>
<p><strong class="example">Example 1:</strong></p>

<pre>
<strong>Input:</strong> accounts = [[&quot;John&quot;,&quot;johnsmith@mail.com&quot;,&quot;john_newyork@mail.com&quot;],[&quot;John&quot;,&quot;johnsmith@mail.com&quot;,&quot;john00@mail.com&quot;],[&quot;Mary&quot;,&quot;mary@mail.com&quot;],[&quot;John&quot;,&quot;johnnybravo@mail.com&quot;]]
<strong>Output:</strong> [[&quot;John&quot;,&quot;john00@mail.com&quot;,&quot;john_newyork@mail.com&quot;,&quot;johnsmith@mail.com&quot;],[&quot;Mary&quot;,&quot;mary@mail.com&quot;],[&quot;John&quot;,&quot;johnnybravo@mail.com&quot;]]
<strong>Explanation:</strong>
The first and second John&#39;s are the same person as they have the common email &quot;johnsmith@mail.com&quot;.
The third John and Mary are different people as none of their email addresses are used by other accounts.
We could return these lists in any order, for example the answer [[&#39;Mary&#39;, &#39;mary@mail.com&#39;], [&#39;John&#39;, &#39;johnnybravo@mail.com&#39;], 
[&#39;John&#39;, &#39;john00@mail.com&#39;, &#39;john_newyork@mail.com&#39;, &#39;johnsmith@mail.com&#39;]] would still be accepted.
</pre>

<p><strong class="example">Example 2:</strong></p>

<pre>
<strong>Input:</strong> accounts = [[&quot;Gabe&quot;,&quot;Gabe0@m.co&quot;,&quot;Gabe3@m.co&quot;,&quot;Gabe1@m.co&quot;],[&quot;Kevin&quot;,&quot;Kevin3@m.co&quot;,&quot;Kevin5@m.co&quot;,&quot;Kevin0@m.co&quot;],[&quot;Ethan&quot;,&quot;Ethan5@m.co&quot;,&quot;Ethan4@m.co&quot;,&quot;Ethan0@m.co&quot;],[&quot;Hanzo&quot;,&quot;Hanzo3@m.co&quot;,&quot;Hanzo1@m.co&quot;,&quot;Hanzo0@m.co&quot;],[&quot;Fern&quot;,&quot;Fern5@m.co&quot;,&quot;Fern1@m.co&quot;,&quot;Fern0@m.co&quot;]]
<strong>Output:</strong> [[&quot;Ethan&quot;,&quot;Ethan0@m.co&quot;,&quot;Ethan4@m.co&quot;,&quot;Ethan5@m.co&quot;],[&quot;Gabe&quot;,&quot;Gabe0@m.co&quot;,&quot;Gabe1@m.co&quot;,&quot;Gabe3@m.co&quot;],[&quot;Hanzo&quot;,&quot;Hanzo0@m.co&quot;,&quot;Hanzo1@m.co&quot;,&quot;Hanzo3@m.co&quot;],[&quot;Kevin&quot;,&quot;Kevin0@m.co&quot;,&quot;Kevin3@m.co&quot;,&quot;Kevin5@m.co&quot;],[&quot;Fern&quot;,&quot;Fern0@m.co&quot;,&quot;Fern1@m.co&quot;,&quot;Fern5@m.co&quot;]]
</pre>

<p>&nbsp;</p>
<p><strong>Constraints:</strong></p>

<ul>
	<li><code>1 &lt;= accounts.length &lt;= 1000</code></li>
	<li><code>2 &lt;= accounts[i].length &lt;= 10</code></li>
	<li><code>1 &lt;= accounts[i][j].length &lt;= 30</code></li>
	<li><code>accounts[i][0]</code> consists of English letters.</li>
	<li><code>accounts[i][j] (for j &gt; 0)</code> is a valid email.</li>
</ul>

from collections import defaultdict, deque

class Solution:
    def accountsMerge(self, accounts: List[List[str]]) -> List[List[str]]:
        # Create a graph where each email points to a set of connected emails
        email_graph = defaultdict(set)
        # Map each email to the corresponding account name
        email_to_name = {}

        # Build the graph and the email-to-name mapping
        for account in accounts:
            name = account[0] # The first element is the account name
            first_email = account[1] # The first email in the account
            for email in account[1:]:
                # Add edges between the first email and all other emails in the account
                email_graph[first_email].add(email)
                email_graph[email].add(first_email)
                # Map the mail to the account name
                email_to_name[email] = name

        def bfs(start_email):
            queue = deque([start_email])
            visited.add(start_email)
            emails = []
            while queue:
                email = queue.popleft()
                emails.append(email)
                for neighbor in email_graph[email]:
                    if neighbor not in visited:
                        visited.add(neighbor)
                        queue.append(neighbor)
            return emails


        visited = set() # Set to keep track of visited emails
        merged_accounts = [] # List to store the merged accounts

        # Perform BFS for each email to find all connected components
        for email in email_graph:
            if email not in visited:
                merged_emails = bfs(email) # Get all emails connected to this email
                # Sort the emails and add the account name at the beginning
                merged_accounts.append([email_to_name[email]] + sorted(merged_emails))

        return merged_accounts

22000