# Path: kale/queue_info.py
# class TaskQueue(object):
# class QueueInfoBase(object):
# class QueueInfo(QueueInfoBase):
#     def __init__(self, name='default', priority=5, num_iterations=2,
#                  long_poll_time_sec=5, batch_size=5,
#                  visibility_timeout_sec=600):
#     def _decorate_name(self, name):
#     def get_queues(self):
#     def get_highest_priority_queue_that_needs_work(self):
#     def is_queue_empty(self, queue):
#     def does_queue_need_work(self, queue):
#     def __init__(self, config_file, sqs_talk, queue_cls=TaskQueue):
#     def get_queue(self, simple_name):
#     def get_queues(self):
#     def get_highest_priority_queue_that_needs_work(self):
#     def is_queue_empty(self, queue):
#     def does_queue_need_work(self, queue):
#     def _get_queues_from_config(cls, config_file, queue_cls):
# 
# Path: kale/queue_selector.py
# class SelectQueueBase(object):
# class Random(SelectQueueBase):
# class Lottery(SelectQueueBase):
# class HighestPriorityFirst(SelectQueueBase):
# class HighestPriorityLottery(Lottery):
# class LotteryLottery(Lottery):
# class ReducedLottery(Lottery):
#     def __init__(self, queue_info):
#     def get_queue(self, *args, **kwargs):
#     def get_queue(self):
#     def _run_lottery(queues):
#     def get_queue(self, *args, **kwargs):
#     def get_queue(self, *args, **kwargs):
#     def get_queue(self, *args, **kwargs):
#     def get_queue(self, *args, **kwargs):
#     def get_queue(self, *args, **kwargs):


import argparse
import csv
import logging
import os
import threading
import time
import six
import six.moves.queue
from six.moves import range
from kale import queue_info
from kale import queue_selector
            return None
        non_empty_queues.sort(key=lambda x: x.priority, reverse=True)
        return non_empty_queues[0]

    def is_queue_empty(self, queue):
        """Check if a queue is empty."""
        the_queue = self.queues[queue.name]
        if not the_queue.tasks.empty():
            return False
        return True

    def does_queue_need_work(self, queue):
        """Checks if a queue should be worked on."""
        return not self.is_queue_empty(queue)


class WorkerThread(threading.Thread):
    """Consuming tasks."""

    def __init__(self, speedup, queue_selector_class, queue_info):
        """
        Args:
            speedup: Integer for how much faster we want to simulate tasks.
                If speedup is 10, then we process tasks at 10x slower speed.
            queue_selector_class: String for queue_selector class in the
                nd.kale.queue_selector module.
        """
        super(WorkerThread, self).__init__()
        SelectQueueClass = getattr(queue_selector, queue_selector_class)
        self.queue_info = queue_info

# Path: kale/queue_info.py
# class TaskQueue(object):
# class QueueInfoBase(object):
# class QueueInfo(QueueInfoBase):
#     def __init__(self, name='default', priority=5, num_iterations=2,
#                  long_poll_time_sec=5, batch_size=5,
#                  visibility_timeout_sec=600):
#     def _decorate_name(self, name):
#     def get_queues(self):
#     def get_highest_priority_queue_that_needs_work(self):
#     def is_queue_empty(self, queue):
#     def does_queue_need_work(self, queue):
#     def __init__(self, config_file, sqs_talk, queue_cls=TaskQueue):
#     def get_queue(self, simple_name):
#     def get_queues(self):
#     def get_highest_priority_queue_that_needs_work(self):
#     def is_queue_empty(self, queue):
#     def does_queue_need_work(self, queue):
#     def _get_queues_from_config(cls, config_file, queue_cls):
# 
# Path: kale/queue_selector.py
# class SelectQueueBase(object):
# class Random(SelectQueueBase):
# class Lottery(SelectQueueBase):
# class HighestPriorityFirst(SelectQueueBase):
# class HighestPriorityLottery(Lottery):
# class LotteryLottery(Lottery):
# class ReducedLottery(Lottery):
#     def __init__(self, queue_info):
#     def get_queue(self, *args, **kwargs):
#     def get_queue(self):
#     def _run_lottery(queues):
#     def get_queue(self, *args, **kwargs):
#     def get_queue(self, *args, **kwargs):
#     def get_queue(self, *args, **kwargs):
#     def get_queue(self, *args, **kwargs):
#     def get_queue(self, *args, **kwargs):


# Path: kale/scripts/benchmark_queue_selector.py
import argparse
import csv
import logging
import os
import threading
import time
import six
import six.moves.queue
from six.moves import range
from kale import queue_info
from kale import queue_selector

            return None
        non_empty_queues.sort(key=lambda x: x.priority, reverse=True)
        return non_empty_queues[0]

    def is_queue_empty(self, queue):
        """Check if a queue is empty."""
        the_queue = self.queues[queue.name]
        if not the_queue.tasks.empty():
            return False
        return True

    def does_queue_need_work(self, queue):
        """Checks if a queue should be worked on."""
        return not self.is_queue_empty(queue)


class WorkerThread(threading.Thread):
    """Consuming tasks."""

    def __init__(self, speedup, queue_selector_class, queue_info):
        """
        Args:
            speedup: Integer for how much faster we want to simulate tasks.
                If speedup is 10, then we process tasks at 10x slower speed.
            queue_selector_class: String for queue_selector class in the
                nd.kale.queue_selector module.
        """
        super(WorkerThread, self).__init__()
        SelectQueueClass = getattr(queue_selector, queue_selector_class)
        self.queue_info = queue_info

        self.queue_selector = SelectQueueClass(self.queue_info)