1. Description

On apps like Twitter and TikTok, we often need to conduct user activity analysis to summarize user behavior on the platform and identify the users we should pay the most attention to.

Implement a user visit frequency analyzer. Input multiple access records (format: userID timestamp, e.g., u123 09:30). Count each user's daily visits and output the top 3 users by frequency. Tie-breaking rules:

1. Sort by most recent visit time (latest first)
2. If timestamps are identical, sort by userID alphabetically

2. Input & Output

Input:

• Multiple lines of records (userID and timestamp separated by space)
• End input with EOF (Press Ctrl+D or Ctrl+Z after typing)

Output:

• Top 3 users in format userID count latest_timestamp
• Each user in a separate line

Example

# Input:  
u3 14:20  
u1 09:15  
u3 08:45  
u2 12:30  
u3 16:10  

# Output:  
u3 3 16:10  
u2 1 12:30  
u1 1 09:15  

# Input:  
bot007 00:01  
bot007 00:03  
bot007 00:05  
userA 14:00  

# Output:  
bot007 3 00:05  
userA 1 14:00