# 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/sqs.py
# class SQSTalk(object):
#     def __init__(self, *args, **kwargs):
#     def _get_or_create_queue(self, queue_name):
#     def get_all_queues(self, prefix=''):
#     def _get_sqs_queue_tags(self, queue_name):


import argparse
import logging
import os
import threading
import time
import six.moves.queue
from six.moves import range
from kale import queue_info
from kale import sqs
            speedup: Integer for how much faster we want to simulate tasks.
                If speedup is 10, then we process tasks at 10x slower speed.
            select_queue_class: String for select_queue class in the
                nd.kale.select_queue module.
        """
        super(WorkerThread, self).__init__()
        self.queue_info_obj = queue_info_obj
        self.iterations = iterations

    def run(self):
        for i in range(self.iterations):
            start_time = time.time()
            self.queue_info_obj.get_highest_priority_queue_that_needs_work()
            end_time = time.time()
            checking_sqs_time.put(end_time - start_time)


class Benchmark(object):
    """Manages entire benchmark."""

    def __init__(self, config_file, workers, iterations):
        self.config_file = config_file
        self.workers = workers
        self.iterations = iterations

    def run(self):
        """Main function of benchmarking."""
        log.info('Start benchmarking ...')
        log.info('Spawning %d worker threads ...' % self.workers)
        sqs_talk = sqs.SQSTalk()

# 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/sqs.py
# class SQSTalk(object):
#     def __init__(self, *args, **kwargs):
#     def _get_or_create_queue(self, queue_name):
#     def get_all_queues(self, prefix=''):
#     def _get_sqs_queue_tags(self, queue_name):


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

            speedup: Integer for how much faster we want to simulate tasks.
                If speedup is 10, then we process tasks at 10x slower speed.
            select_queue_class: String for select_queue class in the
                nd.kale.select_queue module.
        """
        super(WorkerThread, self).__init__()
        self.queue_info_obj = queue_info_obj
        self.iterations = iterations

    def run(self):
        for i in range(self.iterations):
            start_time = time.time()
            self.queue_info_obj.get_highest_priority_queue_that_needs_work()
            end_time = time.time()
            checking_sqs_time.put(end_time - start_time)


class Benchmark(object):
    """Manages entire benchmark."""

    def __init__(self, config_file, workers, iterations):
        self.config_file = config_file
        self.workers = workers
        self.iterations = iterations

    def run(self):
        """Main function of benchmarking."""
        log.info('Start benchmarking ...')
        log.info('Spawning %d worker threads ...' % self.workers)
        sqs_talk = sqs.SQSTalk()

        queue_info_obj = queue_info.QueueInfo(self.config_file, sqs_talk)