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atomv0-sample.txt
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Here's a basic Python code sample for an ATOM Framework type system, called atomv0-sample. This sample code demonstrates a simple task management system that can create, execute, and complete tasks. Please note that this is a minimal example and does not cover all aspects of the ATOM Framework.
python
# atomv0-sample.py
import uuid
import heapq
# Task Representation
class Task:
def __init__(self, description, priority):
self.id = uuid.uuid4()
self.description = description
self.priority = priority
def __lt__(self, other):
return self.priority < other.priority
def execute(self):
print(f'Executing task: {self.description}')
# Task Corpus Management
class TaskManager:
def __init__(self):
self.task_queue = []
def add_task(self, task):
heapq.heappush(self.task_queue, task)
def execute_next_task(self):
if self.task_queue:
next_task = heapq.heappop(self.task_queue)
next_task.execute()
else:
print('No tasks to execute.')
# Example usage of atomv0-sample
if __name__ == "__main__":
task_manager = TaskManager()
task1 = Task("Pay bills", 1)
task2 = Task("Do laundry", 3)
task3 = Task("Buy groceries", 2)
task_manager.add_task(task1)
task_manager.add_task(task2)
task_manager.add_task(task3)
task_manager.execute_next_task()
task_manager.execute_next_task()
task_manager.execute_next_task()
In this code sample, we define two classes: Task and TaskManager.
The Task class represents a task and includes a unique identifier, description, and priority. The __lt__ method allows tasks to be compared based on their priority. The execute method simulates executing a task by printing its description.
The TaskManager class manages a task queue using a priority heap to maintain an ordered list of tasks based on priority. The add_task method adds a new task to the queue, and the execute_next_task method executes and removes the highest priority task from the queue.
In the example usage, we create a TaskManager instance and add three tasks with different priorities. Then, we execute the tasks one by one in priority order.