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##############################################################################
# Copyright (c) 2018 Nokia and others.
#
# All rights reserved. This program and the accompanying materials
# are made available under the terms of the Apache License, Version 2.0
# which accompanies this distribution, and is available at
# http://www.apache.org/licenses/LICENSE-2.0
##############################################################################
import mock
import unittest
import multiprocessing
import os
import time
from yardstick.benchmark.runners import arithmetic
class ArithmeticRunnerTest(unittest.TestCase):
class MyMethod(object):
def __init__(self):
self.count = 101
def __call__(self, data):
self.count += 1
data['my_key'] = self.count
return self.count
def setUp(self):
self.scenario_cfg = {
'runner': {
'interval': 0,
'iter_type': 'nested_for_loops',
'iterators': [
{
'name': 'stride',
'start': 64,
'stop': 128,
'step': 64
},
{
'name': 'size',
'start': 500,
'stop': 2000,
'step': 500
}
]
},
'type': 'some_type'
}
self.benchmark = mock.Mock()
self.benchmark_cls = mock.Mock(return_value=self.benchmark)
def _assert_defaults__worker_process_run_setup_and_teardown(self):
self.benchmark_cls.assert_called_once_with(self.scenario_cfg, {})
self.benchmark.setup.assert_called_once()
self.benchmark.teardown.assert_called_once()
@mock.patch.object(os, 'getpid')
@mock.patch.object(multiprocessing, 'Process')
def test__run_benchmark_called_with(self, mock_multiprocessing_process,
mock_os_getpid):
mock_os_getpid.return_value = 101
runner = arithmetic.ArithmeticRunner({})
benchmark_cls = mock.Mock()
runner._run_benchmark(benchmark_cls, 'my_method', self.scenario_cfg,
{})
mock_multiprocessing_process.assert_called_once_with(
name='Arithmetic-some_type-101',
target=arithmetic._worker_process,
args=(runner.result_queue, benchmark_cls, 'my_method',
self.scenario_cfg, {}, runner.aborted, runner.output_queue))
@mock.patch.object(os, 'getpid')
def test__worker_process_runner_id(self, mock_os_getpid):
mock_os_getpid.return_value = 101
arithmetic._worker_process(mock.Mock(), self.benchmark_cls,
'my_method', self.scenario_cfg, {},
multiprocessing.Event(), mock.Mock())
self.assertEqual(self.scenario_cfg['runner']['runner_id'], 101)
@mock.patch.object(time, 'sleep')
def test__worker_process_calls_nested_for_loops(self, mock_time_sleep):
self.scenario_cfg['runner']['interval'] = 99
arithmetic._worker_process(mock.Mock(), self.benchmark_cls,
'my_method', self.scenario_cfg, {},
multiprocessing.Event(), mock.Mock())
self._assert_defaults__worker_process_run_setup_and_teardown()
self.benchmark.my_method.assert_has_calls([mock.call({})] * 8)
self.assertEqual(self.benchmark.my_method.call_count, 8)
mock_time_sleep.assert_has_calls([mock.call(99)] * 8)
self.assertEqual(mock_time_sleep.call_count, 8)
@mock.patch.object(time, 'sleep')
def test__worker_process_calls_tuple_loops(self, mock_time_sleep):
self.scenario_cfg['runner']['interval'] = 99
self.scenario_cfg['runner']['iter_type'] = 'tuple_loops'
arithmetic._worker_process(mock.Mock(), self.benchmark_cls,
'my_method', self.scenario_cfg, {},
multiprocessing.Event(), mock.Mock())
self._assert_defaults__worker_process_run_setup_and_teardown()
self.benchmark.my_method.assert_has_calls([mock.call({})] * 2)
self.assertEqual(self.benchmark.my_method.call_count, 2)
mock_time_sleep.assert_has_calls([mock.call(99)] * 2)
self.assertEqual(mock_time_sleep.call_count, 2)
def test__worker_process_stored_options_nested_for_loops(self):
arithmetic._worker_process(mock.Mock(), self.benchmark_cls,
'my_method', self.scenario_cfg, {},
multiprocessing.Event(), mock.Mock())
self.assertDictEqual(self.scenario_cfg['options'],
{'stride': 128, 'size': 2000})
def test__worker_process_stored_options_tuple_loops(self):
self.scenario_cfg['runner']['iter_type'] = 'tuple_loops'
arithmetic._worker_process(mock.Mock(), self.benchmark_cls,
'my_method', self.scenario_cfg, {},
multiprocessing.Event(), mock.Mock())
self.assertDictEqual(self.scenario_cfg['options'],
{'stride': 128, 'size': 1000})
def test__worker_process_aborted_set_early(self):
aborted = multiprocessing.Event()
aborted.set()
arithmetic._worker_process(mock.Mock(), self.benchmark_cls,
'my_method', self.scenario_cfg, {},
aborted, mock.Mock())
self._assert_defaults__worker_process_run_setup_and_teardown()
self.assertEqual(self.scenario_cfg['options'], {})
self.benchmark.my_method.assert_not_called()
def test__worker_process_output_queue_nested_for_loops(self):
self.benchmark.my_method = self.MyMethod()
output_queue = multiprocessing.Queue()
arithmetic._worker_process(mock.Mock(), self.benchmark_cls,
'my_method', self.scenario_cfg, {},
multiprocessing.Event(), output_queue)
time.sleep(0.01)
self._assert_defaults__worker_process_run_setup_and_teardown()
self.assertEqual(self.benchmark.my_method.count, 109)
result = []
while not output_queue.empty():
result.append(output_queue.get())
self.assertListEqual(result, [102, 103, 104, 105, 106, 107, 108, 109])
def test__worker_process_output_queue_tuple_loops(self):
self.scenario_cfg['runner']['iter_type'] = 'tuple_loops'
self.benchmark.my_method = self.MyMethod()
output_queue = multiprocessing.Queue()
arithmetic._worker_process(mock.Mock(), self.benchmark_cls,
'my_method', self.scenario_cfg, {},
multiprocessing.Event(), output_queue)
time.sleep(0.01)
self._assert_defaults__worker_process_run_setup_and_teardown()
self.assertEqual(self.benchmark.my_method.count, 103)
result = []
while not output_queue.empty():
result.append(output_queue.get())
self.assertListEqual(result, [102, 103])
def test__worker_process_queue_nested_for_loops(self):
self.benchmark.my_method = self.MyMethod()
queue = multiprocessing.Queue()
timestamp = time.time()
arithmetic._worker_process(queue, self.benchmark_cls, 'my_method',
self.scenario_cfg, {},
multiprocessing.Event(), mock.Mock())
time.sleep(0.01)
self._assert_defaults__worker_process_run_setup_and_teardown()
self.assertEqual(self.benchmark.my_method.count, 109)
count = 0
while not queue.empty():
count += 1
result = queue.get()
self.assertEqual(result['errors'], '')
self.assertEqual(result['data'], {'my_key': count + 101})
self.assertEqual(result['sequence'], count)
self.assertGreater(result['timestamp'], timestamp)
timestamp = result['timestamp']
def test__worker_process_queue_tuple_loops(self):
self.scenario_cfg['runner']['iter_type'] = 'tuple_loops'
self.benchmark.my_method = self.MyMethod()
queue = multiprocessing.Queue()
timestamp = time.time()
arithmetic._worker_process(queue, self.benchmark_cls, 'my_method',
self.scenario_cfg, {},
multiprocessing.Event(), mock.Mock())
time.sleep(0.01)
self._assert_defaults__worker_process_run_setup_and_teardown()
self.assertEqual(self.benchmark.my_method.count, 103)
count = 0
while not queue.empty():
count += 1
result = queue.get()
self.assertEqual(result['errors'], '')
self.assertEqual(result['data'], {'my_key': count + 101})
self.assertEqual(result['sequence'], count)
self.assertGreater(result['timestamp'], timestamp)
timestamp = result['timestamp']
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