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def sortLoginCounts(login_counts):
    sorted_counts = []
    
    for username in sorted(login_counts.keys()):
        for login_date in sorted(login_counts[username].keys()):
            login_count = login_counts[username][login_date]
            sorted_counts.append([username, login_date, login_count])
    
    return sorted_counts
from collections import defaultdict

def processLogs(logs):
    login_counts = defaultdict(lambda: defaultdict(int))
    
    for log in logs:
        username, login_time, login_date = log
        
        # Check if the login_time is in the valid format (HH:MM:SS)
        if len(login_time) != 8 or login_time[2] != ':' or login_time[5] != ':':
            continue
        
        # Check if the login_date is in the valid format (YYYY-MM-DD)
        if len(login_date) != 10 or login_date[4] != '-' or login_date[7] != '-':
            continue
        
        # Increment the login count for the user on the given day
        login_counts[username][login_date] += 1
    
    return login_counts
def countUserLogins(logs):
    # Step 1: Process the logs and count logins
    login_counts = processLogs(logs)
    
    # Step 2: Sort the login counts
    sorted_counts = sortLoginCounts(login_counts)
    
    return sorted_counts

# Test case
logs = [
    ["user1", "09:00:00", "2021-01-01"],
    ["user1", "13:00:00", "2021-01-01"],
    ["user1", "13:00:00", "2021-01-01"],  # Duplicate entry
    ["user2", "14:00:00", "2021-01-01"],
    ["user1", "20:00:00", "2021-01-01"],
    ["user2", "21:00:00", "2021-01-01"],
    ["user3", "25:00:00", "2021-01-01"],  # Invalid time
    ["user4", "22:00:00", "2021-02-29"],  # Invalid date
]

result = countUserLogins(logs)
print(result)def sortLoginCounts(login_counts):
    sorted_counts = []
    
    for username in sorted(login_counts.keys()):
        for login_date in sorted(login_counts[username].keys()):
            login_count = login_counts[username][login_date]
            sorted_counts.append([username, login_date, login_count])
    
    return sorted_counts
from collections import defaultdict

def processLogs(logs):
    login_counts = defaultdict(lambda: defaultdict(int))
    
    for log in logs:
        username, login_time, login_date = log
        
        # Check if the login_time is in the valid format (HH:MM:SS)
        if len(login_time) != 8 or login_time[2] != ':' or login_time[5] != ':':
            continue
        
        # Check if the login_date is in the valid format (YYYY-MM-DD)
        if len(login_date) != 10 or login_date[4] != '-' or login_date[7] != '-':
            continue
        
        # Increment the login count for the user on the given day
        login_counts[username][login_date] += 1
    
    return login_counts
def countUserLogins(logs):
    # Step 1: Process the logs and count logins
    login_counts = processLogs(logs)
    
    # Step 2: Sort the login counts
    sorted_counts = sortLoginCounts(login_counts)
    
    return sorted_counts

# Test case
logs = [
    ["user1", "09:00:00", "2021-01-01"],
    ["user1", "13:00:00", "2021-01-01"],
    ["user1", "13:00:00", "2021-01-01"],  # Duplicate entry
    ["user2", "14:00:00", "2021-01-01"],
    ["user1", "20:00:00", "2021-01-01"],
    ["user2", "21:00:00", "2021-01-01"],
    ["user3", "25:00:00", "2021-01-01"],  # Invalid time
    ["user4", "22:00:00", "2021-02-29"],  # Invalid date
]

result = countUserLogins(logs)
print(result)