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There are a few possible solutions to this issue:

1. Wait and try again: Sometimes, the "database is locked" error is caused by another process or thread that is accessing the database. In this case, waiting for a few seconds and then trying again may solve the issue.

2. Use a connection pool: A connection pool allows multiple threads or processes to share a single connection to the database. This can reduce the likelihood of a "database is locked" error. The sqlite3 module in Python has a built-in connection pool that can be used by setting the check_same_thread parameter to False in the connect function. For example:

   import sqlite3
   
   conn = sqlite3.connect(":memory:", check_same_thread=False)
   

3. Use transactions: Transactions can be used to lock database resources only for the duration of the transaction. This can reduce the likelihood of a "database is locked" error. For example:

   import sqlite3
   
   conn = sqlite3.connect("example.db")
   c = conn.cursor()
   
   c.execute("BEGIN")
   
   # Perform database operations here
   
   c.execute("COMMIT")
   

4. Close the connection: If you are done using the database, close the connection to release any locks on the database. For example:

   import sqlite3
   
   conn = sqlite3.connect("example.db")
   
   # Perform database operations here
   
   conn.close()