I am me supreme-core

## logging.py
import logging

from celery.app.defaults import DEFAULT_TASK_LOG_FMT, DEFAULT_PROCESS_LOG_FMT


class CeleryTaskFilter(logging.Filter):

    def filter(self, record):
        return record.processName.find('Worker') != -1

## awesome_task.py
"""
Celery base task aimed at longish-running jobs that return a result.

``AwesomeResultTask`` adds thundering herd avoidance, result caching, progress
reporting, error fallback and JSON encoding of results.
"""
from __future__ import division

import logging
import simplejson

## schedulers.py
'''Zookeeper-based Scheduler'''
## Standard Library
import cPickle           # Store dictionary in ZooKeeper
import datetime          # Time delta
import socket            # Hostname
## Third Party
import celery            # Current app
import celery.beat       # Scheduler
import celery.utils.log  # Get logger
import kazoo.client      # ZooKeeper Client Library

## celery_tasks_error_handling.py
from celery import Task
from celery.task import task
from my_app.models import FailedTask
from django.db import models

@task(base=LogErrorsTask)
def some task():
    return result

class LogErrorsTask(Task):

## celery_task_monitor.py
import pickle
import threading
from Queue import Queue

import time
from bson import InvalidDocument

from celery.utils.log import get_task_logger

logger = get_task_logger(__name__)

## dask_celery_scheduler.py
from __future__ import absolute_import, division, print_function

import multiprocessing
import pickle
from multiprocessing.pool import ThreadPool

from celery import shared_task
from dask.local import get_async  # TODO: get better get
from dask.context import _globals
from dask.optimize import fuse, cull

## track_celery.py
import time
from memory_profiler import memory_usage

import logging
celery_logger = logging.getLogger('celery')


def track_celery(method):

    """

## celeryconfig.py

import os
import sys

from kombu import Exchange, Queue
from datetime import timedelta
from config import cfg

import log

## celerylinks.txt
https://docs.celeryproject.org/en/stable/tutorials/task-cookbook.html
https://github.com/channeng/celery-scheduler
https://medium.com/@yedjoe/celery-4-periodic-task-in-django-9f6b5a8c21c7
https://medium.com/@contrapasso/how-i-got-faang-offers-without-grinding-leetcode-7e556243e9ce
https://appliku.com/post/django-celery-tutorial-to-background-tasks
https://docs.celeryproject.org/en/stable/django/first-steps-with-django.html
https://idego-group.com/grab-your-free-book-with-django-and-celery/

## celery_decorators.py
# This work is licensed under the GNU Public License (GPL).
# To view a copy of this license, visit http://www.gnu.org/copyleft/gpl.html

# For more information visit this blog post http://mpcabd.igeex.biz/python-celery-asynchronous-task-decorator/

# Written by Abd Allah Diab (mpcabd)
# Email: mpcabd ^at^ gmail ^dot^ com
# Website: http://mpcabd.igeex.biz

from django.utils.decorators import available_attrs
	import logging

	from celery.app.defaults import DEFAULT_TASK_LOG_FMT, DEFAULT_PROCESS_LOG_FMT


	class CeleryTaskFilter(logging.Filter):

	def filter(self, record):
	return record.processName.find('Worker') != -1
	"""
	Celery base task aimed at longish-running jobs that return a result.

	``AwesomeResultTask`` adds thundering herd avoidance, result caching, progress
	reporting, error fallback and JSON encoding of results.
	"""
	from __future__ import division

	import logging
	import simplejson
	'''Zookeeper-based Scheduler'''
	## Standard Library
	import cPickle # Store dictionary in ZooKeeper
	import datetime # Time delta
	import socket # Hostname
	## Third Party
	import celery # Current app
	import celery.beat # Scheduler
	import celery.utils.log # Get logger
	import kazoo.client # ZooKeeper Client Library
	from celery import Task
	from celery.task import task
	from my_app.models import FailedTask
	from django.db import models

	@task(base=LogErrorsTask)
	def some task():
	return result

	class LogErrorsTask(Task):
	import pickle
	import threading
	from Queue import Queue

	import time
	from bson import InvalidDocument

	from celery.utils.log import get_task_logger

	logger = get_task_logger(__name__)
	from __future__ import absolute_import, division, print_function

	import multiprocessing
	import pickle
	from multiprocessing.pool import ThreadPool

	from celery import shared_task
	from dask.local import get_async # TODO: get better get
	from dask.context import _globals
	from dask.optimize import fuse, cull
	import time
	from memory_profiler import memory_usage

	import logging
	celery_logger = logging.getLogger('celery')


	def track_celery(method):

	"""

	import os
	import sys

	from kombu import Exchange, Queue
	from datetime import timedelta
	from config import cfg

	import log
	https://docs.celeryproject.org/en/stable/tutorials/task-cookbook.html
	https://github.com/channeng/celery-scheduler
	https://medium.com/@yedjoe/celery-4-periodic-task-in-django-9f6b5a8c21c7
	https://medium.com/@contrapasso/how-i-got-faang-offers-without-grinding-leetcode-7e556243e9ce
	https://appliku.com/post/django-celery-tutorial-to-background-tasks
	https://docs.celeryproject.org/en/stable/django/first-steps-with-django.html
	https://idego-group.com/grab-your-free-book-with-django-and-celery/
	# This work is licensed under the GNU Public License (GPL).
	# To view a copy of this license, visit http://www.gnu.org/copyleft/gpl.html

	# For more information visit this blog post http://mpcabd.igeex.biz/python-celery-asynchronous-task-decorator/

	# Written by Abd Allah Diab (mpcabd)
	# Email: mpcabd ^at^ gmail ^dot^ com
	# Website: http://mpcabd.igeex.biz

	from django.utils.decorators import available_attrs