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How to use monitor method in avocado
Best Python code snippet using avocado_python
monitors_test.py
Source:monitors_test.py 
...78 self._actual_log(*args, **kwargs)79 logging.info = mockLog80 def tearDown(self):81 logging.info = self._actual_log82 def _run_monitor(self,83 monitor,84 num_epochs=3,85 num_steps_per_epoch=10,86 pass_max_steps=True):87 if pass_max_steps:88 max_steps = num_epochs * num_steps_per_epoch - 189 else:90 max_steps = None91 monitor.begin(max_steps=max_steps)92 for epoch in xrange(num_epochs):93 monitor.epoch_begin(epoch)94 should_stop = False95 step = epoch * num_steps_per_epoch96 next_epoch_step = step + num_steps_per_epoch97 while (not should_stop) and (step < next_epoch_step):98 tensors = monitor.step_begin(step)99 output = ops.get_default_session().run(tensors) if tensors else {}100 output = dict(101 zip([t.name if isinstance(t, ops.Tensor) else t for t in tensors],102 output))103 should_stop = monitor.step_end(step=step, output=output)104 monitor.post_step(step=step, session=None)105 step += 1106 monitor.epoch_end(epoch)107 monitor.end()108 def test_base_monitor(self):109 with ops.Graph().as_default() as g, self.test_session(g):110 self._run_monitor(learn.monitors.BaseMonitor())111 def test_every_0(self):112 monitor = _MyEveryN(every_n_steps=0, first_n_steps=-1)113 with ops.Graph().as_default() as g, self.test_session(g):114 self._run_monitor(monitor, num_epochs=3, num_steps_per_epoch=10)115 expected_steps = list(range(30))116 self.assertAllEqual(expected_steps, monitor.steps_begun)117 self.assertAllEqual(expected_steps, monitor.steps_ended)118 self.assertAllEqual(expected_steps, monitor.post_steps)119 def test_every_1(self):120 monitor = _MyEveryN(every_n_steps=1, first_n_steps=-1)121 with ops.Graph().as_default() as g, self.test_session(g):122 self._run_monitor(monitor, num_epochs=3, num_steps_per_epoch=10)123 expected_steps = list(range(1, 30))124 self.assertEqual(expected_steps, monitor.steps_begun)125 self.assertEqual(expected_steps, monitor.steps_ended)126 self.assertEqual(expected_steps, monitor.post_steps)127 def test_every_2(self):128 monitor = _MyEveryN(every_n_steps=2, first_n_steps=-1)129 with ops.Graph().as_default() as g, self.test_session(g):130 self._run_monitor(monitor, num_epochs=3, num_steps_per_epoch=10)131 expected_steps = list(range(2, 29, 2)) + [29]132 self.assertEqual(expected_steps, monitor.steps_begun)133 self.assertEqual(expected_steps, monitor.steps_ended)134 self.assertEqual(expected_steps, monitor.post_steps)135 def test_every_8(self):136 monitor = _MyEveryN(every_n_steps=8, first_n_steps=2)137 with ops.Graph().as_default() as g, self.test_session(g):138 self._run_monitor(monitor, num_epochs=3, num_steps_per_epoch=10)139 expected_steps = [0, 1, 2, 10, 18, 26, 29]140 self.assertEqual(expected_steps, monitor.steps_begun)141 self.assertEqual(expected_steps, monitor.steps_ended)142 self.assertEqual(expected_steps, monitor.post_steps)143 def test_every_8_no_max_steps(self):144 monitor = _MyEveryN(every_n_steps=8, first_n_steps=2)145 with ops.Graph().as_default() as g, self.test_session(g):146 self._run_monitor(147 monitor, num_epochs=3, num_steps_per_epoch=10, pass_max_steps=False)148 begin_end_steps = [0, 1, 2, 10, 18, 26]149 post_steps = [0, 1, 2, 10, 18, 26, 29]150 self.assertEqual(begin_end_steps, monitor.steps_begun)151 self.assertEqual(begin_end_steps, monitor.steps_ended)152 self.assertEqual(post_steps, monitor.post_steps)153 def test_every_8_recovered_after_step_begin(self):154 monitor = _MyEveryN(every_n_steps=8)155 with ops.Graph().as_default() as g, self.test_session(g):156 for step in [8, 16]:157 monitor.step_begin(step)158 monitor.step_begin(step)159 monitor.step_end(step, output=None)160 monitor.post_step(step, session=None)161 # It should call begin again since, end was not called162 self.assertEqual([8, 8, 16, 16], monitor.steps_begun)163 self.assertEqual([8, 16], monitor.steps_ended)164 self.assertEqual([8, 16], monitor.post_steps)165 def test_every_8_recovered_after_step_end(self):166 monitor = _MyEveryN(every_n_steps=8)167 with ops.Graph().as_default() as g, self.test_session(g):168 for step in [8, 16]:169 monitor.step_begin(step)170 monitor.step_end(step, output=None)171 monitor.post_step(step, session=None)172 monitor.step_begin(step)173 monitor.step_end(step, output=None)174 monitor.post_step(step, session=None)175 # It should not call begin twice since end was called176 self.assertEqual([8, 16], monitor.steps_begun)177 self.assertEqual([8, 16], monitor.steps_ended)178 self.assertEqual([8, 16], monitor.post_steps)179 def test_every_8_call_post_step_at_the_end(self):180 monitor = _MyEveryN(every_n_steps=8)181 with ops.Graph().as_default() as g, self.test_session(g):182 monitor.begin()183 for step in [8, 16]:184 monitor.step_begin(step)185 monitor.step_end(step, output=None)186 monitor.post_step(step, session=None)187 monitor.step_begin(19)188 monitor.step_end(19, output=None)189 monitor.post_step(19, session=None)190 monitor.end(session=None)191 # It should not call begin twice since end was called192 self.assertEqual([8, 16], monitor.steps_begun)193 self.assertEqual([8, 16], monitor.steps_ended)194 self.assertEqual([8, 16, 19], monitor.post_steps)195 def test_every_8_call_post_step_should_not_be_called_twice(self):196 monitor = _MyEveryN(every_n_steps=8)197 with ops.Graph().as_default() as g, self.test_session(g):198 monitor.begin()199 for step in [8, 16]:200 monitor.step_begin(step)201 monitor.step_end(step, output=None)202 monitor.post_step(step, session=None)203 monitor.step_begin(16)204 monitor.step_end(16, output=None)205 monitor.post_step(16, session=None)206 monitor.end(session=None)207 # It should not call begin twice since end was called208 self.assertEqual([8, 16], monitor.steps_begun)209 self.assertEqual([8, 16], monitor.steps_ended)210 self.assertEqual([8, 16], monitor.post_steps)211 def test_print(self):212 with ops.Graph().as_default() as g, self.test_session(g):213 t = constant_op.constant(42.0, name='foo')214 self._run_monitor(learn.monitors.PrintTensor(tensor_names=[t.name]))215 self.assertRegexpMatches(str(self.logged_message), t.name)216 def test_logging_trainable(self):217 with ops.Graph().as_default() as g, self.test_session(g):218 var = variables.Variable(constant_op.constant(42.0), name='foo')219 var.initializer.run()220 cof = constant_op.constant(1.0)221 loss = math_ops.subtract(222 math_ops.multiply(var, cof), constant_op.constant(1.0))223 train_step = gradient_descent.GradientDescentOptimizer(0.5).minimize(loss)224 ops.get_default_session().run(train_step)225 self._run_monitor(learn.monitors.LoggingTrainable('foo'))226 self.assertRegexpMatches(str(self.logged_message), var.name)227 def test_summary_saver(self):228 with ops.Graph().as_default() as g, self.test_session(g):229 log_dir = 'log/dir'230 summary_writer = testing.FakeSummaryWriter(log_dir, g)231 var = variables.Variable(0.0)232 var.initializer.run()233 tensor = state_ops.assign_add(var, 1.0)234 summary_op = summary.scalar('my_summary', tensor)235 self._run_monitor(236 learn.monitors.SummarySaver(237 summary_op=summary_op,238 save_steps=8,239 summary_writer=summary_writer),240 num_epochs=3,241 num_steps_per_epoch=10)242 summary_writer.assert_summaries(243 test_case=self,244 expected_logdir=log_dir,245 expected_graph=g,246 expected_summaries={247 0: {248 'my_summary': 1.0249 },250 1: {251 'my_summary': 2.0252 },253 9: {254 'my_summary': 3.0255 },256 17: {257 'my_summary': 4.0258 },259 25: {260 'my_summary': 5.0261 },262 29: {263 'my_summary': 6.0264 },265 })266 def _assert_validation_monitor(self,267 monitor,268 expected_early_stopped=False,269 expected_best_step=None,270 expected_best_value=None,271 expected_best_metrics=None):272 self.assertEqual(expected_early_stopped, monitor.early_stopped)273 self.assertEqual(expected_best_step, monitor.best_step)274 self.assertEqual(expected_best_value, monitor.best_value)275 self.assertEqual(expected_best_metrics, monitor.best_metrics)276 def test_validation_monitor_no_estimator(self):277 monitor = learn.monitors.ValidationMonitor(278 x=constant_op.constant(2.0), every_n_steps=0)279 self._assert_validation_monitor(monitor)280 with ops.Graph().as_default() as g, self.test_session(g):281 with self.assertRaisesRegexp(ValueError, 'set_estimator'):282 self._run_monitor(monitor)283 @test.mock.patch.object(estimators, 'Estimator', autospec=True)284 @test.mock.patch.object(saver, 'latest_checkpoint')285 def test_validation_monitor_no_ckpt(self, mock_latest_checkpoint,286 mock_estimator_class):287 estimator = mock_estimator_class()288 model_dir = 'model/dir'289 estimator.model_dir = model_dir290 mock_latest_checkpoint.return_value = None291 # Do nothing with no checkpoint.292 monitor = learn.monitors.ValidationMonitor(293 x=constant_op.constant(2.0), every_n_steps=0)294 self._assert_validation_monitor(monitor)295 monitor.set_estimator(estimator)296 with ops.Graph().as_default() as g, self.test_session(g):297 self._run_monitor(monitor)298 self._assert_validation_monitor(monitor)299 mock_latest_checkpoint.assert_called_with(model_dir)300 @test.mock.patch.object(estimators, 'Estimator', autospec=True)301 @test.mock.patch.object(saver, 'latest_checkpoint')302 def test_validation_monitor_no_early_stopping_rounds(self,303 mock_latest_checkpoint,304 mock_estimator_class):305 estimator = mock_estimator_class()306 model_dir = 'model/dir'307 estimator.model_dir = model_dir308 estimator.evaluate.return_value = {}309 mock_latest_checkpoint.return_value = '%s/ckpt' % model_dir310 # Do nothing with early_stopping_rounds=None.311 monitor = learn.monitors.ValidationMonitor(312 x=constant_op.constant(2.0), every_n_steps=0)313 self._assert_validation_monitor(monitor)314 monitor.set_estimator(estimator)315 with ops.Graph().as_default() as g, self.test_session(g):316 self._run_monitor(monitor)317 self._assert_validation_monitor(monitor)318 @test.mock.patch.object(estimators, 'Estimator', autospec=True)319 @test.mock.patch.object(saver, 'latest_checkpoint')320 def test_validation_monitor_invalid_metric(self, mock_latest_checkpoint,321 mock_estimator_class):322 estimator = mock_estimator_class()323 model_dir = 'model/dir'324 estimator.model_dir = model_dir325 estimator.evaluate.return_value = {}326 mock_latest_checkpoint.return_value = '%s/ckpt' % model_dir327 # Fail for missing metric.328 monitor = learn.monitors.ValidationMonitor(329 x=constant_op.constant(2.0), every_n_steps=0, early_stopping_rounds=1)330 self._assert_validation_monitor(monitor)331 monitor.set_estimator(estimator)332 with ops.Graph().as_default() as g, self.test_session(g):333 with self.assertRaisesRegexp(ValueError, 'missing from outputs'):334 self._run_monitor(monitor, num_epochs=1, num_steps_per_epoch=1)335 @test.mock.patch.object(estimators, 'Estimator', autospec=True)336 @test.mock.patch.object(saver, 'latest_checkpoint')337 def test_validation_monitor(self, mock_latest_checkpoint,338 mock_estimator_class):339 estimator = mock_estimator_class()340 model_dir = 'model/dir'341 estimator.model_dir = model_dir342 validation_outputs = {'loss': None, 'auc': None}343 estimator.evaluate.return_value = validation_outputs344 monitor = learn.monitors.ValidationMonitor(345 x=constant_op.constant(2.0), every_n_steps=0, early_stopping_rounds=2)346 self._assert_validation_monitor(monitor)347 monitor.set_estimator(estimator)348 with ops.Graph().as_default() as g, self.test_session(g):349 monitor.begin(max_steps=100)350 monitor.epoch_begin(epoch=0)351 self.assertEqual(0, estimator.evaluate.call_count)352 # Step 0, initial loss.353 step = 0354 mock_latest_checkpoint.return_value = '%s/ckpt.%s' % (model_dir, step)355 validation_outputs['loss'] = 42.0356 validation_outputs['auc'] = 0.5357 self.assertEqual(0, len(monitor.step_begin(step=step)))358 self.assertFalse(monitor.step_end(step=step, output={}))359 self.assertEqual(1, estimator.evaluate.call_count)360 self._assert_validation_monitor(361 monitor, expected_best_step=0, expected_best_value=42.0,362 expected_best_metrics={'loss': 42.0, 'auc': 0.5})363 monitor.post_step(step=step, session=None)364 # Step 1, same checkpoint, no eval.365 step = 1366 self.assertEqual(0, len(monitor.step_begin(step=step)))367 self.assertFalse(monitor.step_end(step=step, output={}))368 self.assertEqual(1, estimator.evaluate.call_count)369 self._assert_validation_monitor(370 monitor, expected_best_step=0, expected_best_value=42.0,371 expected_best_metrics={'loss': 42.0, 'auc': 0.5})372 monitor.post_step(step=step, session=None)373 # Step 2, lower loss.374 step = 2375 mock_latest_checkpoint.return_value = '%s/ckpt.%s' % (model_dir, step)376 validation_outputs['loss'] = 40.0377 validation_outputs['auc'] = 0.6378 self.assertEqual(0, len(monitor.step_begin(step=step)))379 self.assertFalse(monitor.step_end(step=step, output={}))380 self.assertEqual(2, estimator.evaluate.call_count)381 self._assert_validation_monitor(382 monitor, expected_best_step=2, expected_best_value=40.0,383 expected_best_metrics={'loss': 40.0, 'auc': 0.6})384 monitor.post_step(step=step, session=None)385 # Step 3, higher loss.386 step = 3387 mock_latest_checkpoint.return_value = '%s/ckpt.%s' % (model_dir, step)388 validation_outputs['loss'] = 44.0389 validation_outputs['auc'] = 0.7390 self.assertEqual(0, len(monitor.step_begin(step=step)))391 self.assertFalse(monitor.step_end(step=step, output={}))392 self.assertEqual(3, estimator.evaluate.call_count)393 self._assert_validation_monitor(394 monitor, expected_best_step=2, expected_best_value=40.0,395 expected_best_metrics={'loss': 40.0, 'auc': 0.6})396 monitor.post_step(step=step, session=None)397 # Step 4, higher loss for 2 steps, early stopping.398 step = 4399 mock_latest_checkpoint.return_value = '%s/ckpt.%s' % (model_dir, step)400 validation_outputs['loss'] = 43.0401 self.assertEqual(0, len(monitor.step_begin(step=step)))402 self.assertTrue(monitor.step_end(step=step, output={}))403 self.assertEqual(4, estimator.evaluate.call_count)404 self._assert_validation_monitor(405 monitor,406 expected_early_stopped=True,407 expected_best_step=2,408 expected_best_value=40.0,409 expected_best_metrics={'loss': 40.0, 'auc': 0.6})410 monitor.post_step(step=step, session=None)411 monitor.epoch_end(epoch=0)412 monitor.end()413 @test.mock.patch.object(saver, 'latest_checkpoint')414 def test_validation_monitor_with_core_estimator(self, mock_latest_checkpoint):415 estimator = test.mock.Mock(spec=core_estimator.Estimator)416 model_dir = 'model/dir'417 estimator.model_dir = model_dir418 validation_outputs = {'loss': None, 'auc': None}419 estimator.evaluate.return_value = validation_outputs420 monitor = learn.monitors.ValidationMonitor(421 input_fn=lambda: constant_op.constant(2.0),422 every_n_steps=0, early_stopping_rounds=2)423 self._assert_validation_monitor(monitor)424 monitor.set_estimator(estimator)425 with ops.Graph().as_default() as g, self.test_session(g):426 monitor.begin(max_steps=100)427 monitor.epoch_begin(epoch=0)428 self.assertEqual(0, estimator.evaluate.call_count)429 # Step 0, initial loss.430 step = 0431 mock_latest_checkpoint.return_value = '%s/ckpt.%s' % (model_dir, step)432 validation_outputs['loss'] = 42.0433 validation_outputs['auc'] = 0.5434 self.assertEqual(0, len(monitor.step_begin(step=step)))435 self.assertFalse(monitor.step_end(step=step, output={}))436 self.assertEqual(1, estimator.evaluate.call_count)437 self._assert_validation_monitor(438 monitor, expected_best_step=0, expected_best_value=42.0,439 expected_best_metrics={'loss': 42.0, 'auc': 0.5})440 monitor.post_step(step=step, session=None)441 @test.mock.patch.object(saver, 'latest_checkpoint')442 def test_validation_monitor_fail_with_core_estimator_and_metrics(443 self, mock_latest_checkpoint):444 estimator = test.mock.Mock(spec=core_estimator.Estimator)445 model_dir = 'model/dir'446 estimator.model_dir = model_dir447 validation_outputs = {'loss': None}448 estimator.evaluate.return_value = validation_outputs449 monitor = learn.monitors.ValidationMonitor(450 input_fn=lambda: constant_op.constant(2.0),451 metrics=constant_op.constant(2.0),452 every_n_steps=0, early_stopping_rounds=2)453 monitor.set_estimator(estimator)454 with ops.Graph().as_default() as g, self.test_session(g):455 monitor.begin(max_steps=100)456 monitor.epoch_begin(epoch=0)457 with self.assertRaisesRegexp(458 ValueError,459 'tf.estimator.Estimator does not support .* metrics'):460 step = 0461 mock_latest_checkpoint.return_value = '%s/ckpt.%s' % (model_dir, step)462 validation_outputs['loss'] = 42.0463 self.assertEqual(0, len(monitor.step_begin(step=step)))464 self.assertFalse(monitor.step_end(step=step, output={}))465 def test_graph_dump(self):466 monitor0 = learn.monitors.GraphDump()467 monitor1 = learn.monitors.GraphDump()468 with ops.Graph().as_default() as g, self.test_session(g):469 const_var = variables.Variable(42.0, name='my_const')470 counter_var = variables.Variable(0.0, name='my_counter')471 assign_add = state_ops.assign_add(counter_var, 1.0, name='my_assign_add')472 variables.global_variables_initializer().run()473 self._run_monitor(monitor0, num_epochs=3, num_steps_per_epoch=10)474 self.assertEqual({475 step: {476 const_var.name: 42.0,477 counter_var.name: step + 1.0,478 assign_add.name: step + 1.0,479 }480 for step in xrange(30)481 }, monitor0.data)482 self._run_monitor(monitor1, num_epochs=3, num_steps_per_epoch=10)483 self.assertEqual({484 step: {485 const_var.name: 42.0,486 counter_var.name: step + 31.0,487 assign_add.name: step + 31.0,488 }489 for step in xrange(30)490 }, monitor1.data)491 for step in xrange(30):492 matched, non_matched = monitor1.compare(monitor0, step=step)493 self.assertEqual([const_var.name], matched)494 self.assertEqual({495 assign_add.name: (step + 31.0, step + 1.0),496 counter_var.name: (step + 31.0, step + 1.0),497 }, non_matched)498 matched, non_matched = monitor0.compare(monitor1, step=step)499 self.assertEqual([const_var.name], matched)500 self.assertEqual({501 assign_add.name: (step + 1.0, step + 31.0),502 counter_var.name: (step + 1.0, step + 31.0),503 }, non_matched)504 def test_capture_variable(self):505 monitor = learn.monitors.CaptureVariable(506 var_name='my_assign_add:0', every_n=8, first_n=2)507 with ops.Graph().as_default() as g, self.test_session(g):508 var = variables.Variable(0.0, name='my_var')509 var.initializer.run()510 state_ops.assign_add(var, 1.0, name='my_assign_add')511 self._run_monitor(monitor, num_epochs=3, num_steps_per_epoch=10)512 self.assertEqual({513 0: 1.0,514 1: 2.0,515 2: 3.0,516 10: 4.0,517 18: 5.0,518 26: 6.0,519 29: 7.0,520 }, monitor.values)521class StopAtStepTest(test.TestCase):522 def test_raise_in_both_last_step_and_num_steps(self):523 with self.assertRaises(ValueError):524 learn.monitors.StopAtStep(num_steps=10, last_step=20)525 def test_stop_based_on_last_step(self):...
test_resource_monitor.py
Source:test_resource_monitor.py
1# This Source Code Form is subject to the terms of the Mozilla Public2# License, v. 2.0. If a copy of the MPL was not distributed with this3# file, You can obtain one at http://mozilla.org/MPL/2.0/.4from __future__ import absolute_import5import multiprocessing6import time7import unittest8import mozunit9try:10 import psutil11except ImportError:12 psutil = None13from mozsystemmonitor.resourcemonitor import (14 SystemResourceMonitor,15 SystemResourceUsage,16)17@unittest.skipIf(psutil is None, 'Resource monitor requires psutil.')18class TestResourceMonitor(unittest.TestCase):19 def test_basic(self):20 monitor = SystemResourceMonitor(poll_interval=0.5)21 monitor.start()22 time.sleep(3)23 monitor.stop()24 data = list(monitor.range_usage())25 self.assertGreater(len(data), 3)26 self.assertIsInstance(data[0], SystemResourceUsage)27 def test_empty(self):28 monitor = SystemResourceMonitor(poll_interval=2.0)29 monitor.start()30 monitor.stop()31 data = list(monitor.range_usage())32 self.assertEqual(len(data), 0)33 def test_phases(self):34 monitor = SystemResourceMonitor(poll_interval=0.25)35 monitor.start()36 time.sleep(1)37 with monitor.phase('phase1'):38 time.sleep(1)39 with monitor.phase('phase2'):40 time.sleep(1)41 monitor.stop()42 self.assertEqual(len(monitor.phases), 2)43 self.assertEqual(['phase2', 'phase1'], monitor.phases.keys())44 all = list(monitor.range_usage())45 data1 = list(monitor.phase_usage('phase1'))46 data2 = list(monitor.phase_usage('phase2'))47 self.assertGreater(len(all), len(data1))48 self.assertGreater(len(data1), len(data2))49 # This could fail if time.time() takes more than 0.1s. It really50 # shouldn't.51 self.assertAlmostEqual(data1[-1].end, data2[-1].end, delta=0.25)52 def test_no_data(self):53 monitor = SystemResourceMonitor()54 data = list(monitor.range_usage())55 self.assertEqual(len(data), 0)56 def test_events(self):57 monitor = SystemResourceMonitor(poll_interval=0.25)58 monitor.start()59 time.sleep(0.5)60 t0 = time.time()61 monitor.record_event('t0')62 time.sleep(0.5)63 monitor.record_event('t1')64 time.sleep(0.5)65 monitor.stop()66 events = monitor.events67 self.assertEqual(len(events), 2)68 event = events[0]69 self.assertEqual(event[1], 't0')70 self.assertAlmostEqual(event[0], t0, delta=0.25)71 data = list(monitor.between_events_usage('t0', 't1'))72 self.assertGreater(len(data), 0)73 def test_aggregate_cpu(self):74 monitor = SystemResourceMonitor(poll_interval=0.25)75 monitor.start()76 time.sleep(1)77 monitor.stop()78 values = monitor.aggregate_cpu_percent()79 self.assertIsInstance(values, list)80 self.assertEqual(len(values), multiprocessing.cpu_count())81 for v in values:82 self.assertIsInstance(v, float)83 value = monitor.aggregate_cpu_percent(per_cpu=False)84 self.assertIsInstance(value, float)85 values = monitor.aggregate_cpu_times()86 self.assertIsInstance(values, list)87 self.assertGreater(len(values), 0)88 self.assertTrue(hasattr(values[0], 'user'))89 t = type(values[0])90 value = monitor.aggregate_cpu_times(per_cpu=False)91 self.assertIsInstance(value, t)92 def test_aggregate_io(self):93 monitor = SystemResourceMonitor(poll_interval=0.25)94 # There's really no easy way to ensure I/O occurs. For all we know95 # reads and writes will all be serviced by the page cache.96 monitor.start()97 time.sleep(1.0)98 monitor.stop()99 values = monitor.aggregate_io()100 self.assertTrue(hasattr(values, 'read_count'))101 def test_memory(self):102 monitor = SystemResourceMonitor(poll_interval=0.25)103 monitor.start()104 time.sleep(1.0)105 monitor.stop()106 v = monitor.min_memory_available()107 self.assertIsInstance(v, long)108 v = monitor.max_memory_percent()109 self.assertIsInstance(v, float)110 def test_as_dict(self):111 monitor = SystemResourceMonitor(poll_interval=0.25)112 monitor.start()113 time.sleep(0.1)114 monitor.begin_phase('phase1')115 monitor.record_event('foo')116 time.sleep(0.1)117 monitor.begin_phase('phase2')118 monitor.record_event('bar')119 time.sleep(0.2)120 monitor.finish_phase('phase1')121 time.sleep(0.2)122 monitor.finish_phase('phase2')123 time.sleep(0.4)124 monitor.stop()125 d = monitor.as_dict()126 self.assertEqual(d['version'], 2)127 self.assertEqual(len(d['events']), 2)128 self.assertEqual(len(d['phases']), 2)129 self.assertIn('system', d)130 self.assertIsInstance(d['system'], dict)131 self.assertIsInstance(d['overall'], dict)132 self.assertIn('duration', d['overall'])133 self.assertIn('cpu_times', d['overall'])134if __name__ == '__main__':...
test_monitor.py
Source:test_monitor.py
...23}24cronitor.api_key = FAKE_API_KEY25class MonitorTests(unittest.TestCase):26 @patch('cronitor.Monitor._put', return_value=[MONITOR])27 def test_create_monitor(self, mocked_create):28 monitor = cronitor.Monitor.put(**MONITOR)29 self.assertEqual(monitor.data.key, MONITOR['key'])30 self.assertEqual(monitor.data.assertions, MONITOR['assertions'])31 self.assertEqual(monitor.data.schedule, MONITOR['schedule'])32 @patch('cronitor.Monitor._put', return_value=[MONITOR, MONITOR_2])33 def test_create_monitors(self, mocked_create):34 monitors = cronitor.Monitor.put([MONITOR, MONITOR_2])35 self.assertEqual(len(monitors), 2)36 self.assertCountEqual([MONITOR['key'], MONITOR_2['key']], list(map(lambda m: m.data.key, monitors)))37 @patch('cronitor.Monitor._req.put')38 def test_create_monitor_fails(self, mocked_put):39 mocked_put.return_value.status_code = 40040 with self.assertRaises(cronitor.APIValidationError):41 cronitor.Monitor.put(**MONITOR)...
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- WebDriverIO Tutorial
- Protractor Tutorial
- Selenium 4 Tutorial
- Jenkins Tutorial
- NUnit Tutorial
- Jest Tutorial
- Playwright Tutorial
- Cypress Tutorial
- PyTest Tutorial
YouTube
You could also refer to video tutorials over LambdaTest YouTube channel to get step by step demonstration from industry experts.
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