thread completion management

Thread.currentThread().interrupt(); throw new RuntimeException(e); } } } ``` ### Explanation 1. **Exception Handling**: The `exceptionally` method is used to handle exceptions that occur during the exec…

- Use multi-threading or asynchronous programming to improve CPU utilization. 2. **Optimize Memory Usage:** - Use memory profiling tools to identify memory leaks and inefficiencies. - Implement caching mechanisms to reduce memory …

thread = threading.Thread(target=self.handle_query) threads.append(thread) thread.start() for thread in threads: thread.join() if __name__ == "__main__": data_service = DataServi…

for i in range(0, len(documents), chunk_size): chunk = documents[i:i + chunk_size] thread = threading.Thread(target=worker, args=(chunk,)) threads.append(thread) thread.start() for thread in threads:…

- Each check function operates on a list of vectors and returns a boolean indicating whether all vectors pass the check. - This avoids iterating over each vector individually for each check. 2. **Combining Checks**: - The `check_c…

import threading # Define a class to handle accesses class AccessHandler: def __init__(self): self.access_count = 0 self.lock = threading.Lock() def handle_access(self): # Increment access count wit…