Hi TeenyFly97 ,

With task.close() the task will do a full shutdown process. This includes repo detection, logs, metrics and artifacts flush, and more. The task will not be the running task anymore and you can start a new task.

With task.mark_stopped() , the task logs will be flushed and the task will mark itself as stopped, but will not perform the full shutdown process, so the current_task will still be this task.

For example:
` from trains import Task

task = Task.init(project_name="example", task_name="task closed")

print(task.current_task().id) # will print first task id
task.close()
print(type(task.current_task())) # will print <class 'NoneType'>

task = Task.init(project_name="example", task_name="Second task")

print(task.current_task().id) # will print second task id This code will create two different tasks, and print(type(task.current_task())) line will print NoneType ` .

` from trains import Task

task = Task.init(project_name="example", task_name="task marked stopped")

print(task.current_task().id) # will print first task id
task.mark_stopped()
print(type(task.current_task())) # will print <class 'trains.task.Task'>
task = Task.init(project_name="example", task_name="Second task") # will raise trains UsageError exception This code will create only one task, and the print(type(task.current_task())) line will print the task object, but in the secondTask.init` call, we will get an exception.