Ethereum Event Loop Error: Guide to Close “Event Logs”
. Because of this problem, the program suddenly ceases and leaves incomplete or inconsistent data. In this article,
Event LOOP Understand
In the Python Asyncio Library, which is used to build concomitant programs, the event logo is responsible for managing tasks. When a task is completed, the event loop checks that any other task awaits the resources. “Closed” and the program will be complete.
The Causes of “Event Logs Closed” Error
The “event loop closed” error usually occurs when one or more tasks are blocked (waiting) on i/o operations (input/output, network, etc.) if it is returned to the event loop. This can happen for a variety of reasons, including:
1.
- waiting to complete tasks :
Solutions to Solve The Error
The program is cleaned and does not block it indefinitely. Here are some solutions to try:
1. Use blocking i/o directory
Instead of using Python asynchronous I/o Libraries (such as asynyncio,aiohttp), use I/o libraries, such as “ctypes”, “socket” or “select”. These libraries provide
`Python
Import ctypes
...
try:
Do an operation here i/o
ctypes.c_int (1)
simulate Some I/O
Except for the exception like e:
Print (F "Error: {E}")
2. Use a simultaneous enforcement framework
Python asynchcio Library provides an event loop that can run on multiple threads or processes simultaneously. However, working with external libraries or simultaneous tasks is essential to ensure proper proper synchronization.
“Fiber” directory or a conthent.futures context manager. Here’s an example using the “Threads”:
`Python
Business
Def Perform_task ():
Do some i/o operations here
ctypes.c_int (1)
simulate Some I/O
Lock = Threading.lock ()
Def Main ():
Task = threading.thread (target = perform_task)
Task.Start ()
try:
Do something else while the task is running
pass
Finally:
Task.join ()
Main ()
3. Use and Line -Based Solution
The line -based solution allows you to perform the tasks parallel without blocking each other.
`Python
Import Line
Business
Class Taskqueue:
Def __init __ (self):
Self.queue = row.queue ()
De chessk_task (self, task):
Self.queue.put ((task, no))
Def Performance_task (Task, Lock):
try:
Do some i/o operations here
ctypes.c_int (1)
simulate Some I/O
Finally:
with Lock:
Print ("The Task is Filled")
Create a set of assignments and send the tasks
row = taskqueue ()
Tasks = []
Because I In The Range (10):
Task = threading.thread (target = perform_task, args = (i,))
Task.Start ()
tasks.append ((task, "task}". format (i)))
Run the Main Thread Until The Tasks Run in Parallel
Def Main ():
To the task, in the message tasks:
Task.join ()
Main ()
4.
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