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authorDaniel Friesel <daniel.friesel@uos.de>2019-08-16 11:24:34 +0200
committerDaniel Friesel <daniel.friesel@uos.de>2019-08-16 11:24:34 +0200
commitc1b9509b588412b8045f5d838bf8c6bca0fa9b77 (patch)
tree7222935694b8be94d0cf2ae41c08e82a872e52be /test
parentf619692a4601cdb13a45f47c988d76563a16ba0d (diff)
optionally prune dependent parameters before analysis
Diffstat (limited to 'test')
-rwxr-xr-xtest/test_timingharness.py30
1 files changed, 30 insertions, 0 deletions
diff --git a/test/test_timingharness.py b/test/test_timingharness.py
index 6479f0a..b5937ad 100755
--- a/test/test_timingharness.py
+++ b/test/test_timingharness.py
@@ -1,6 +1,7 @@
#!/usr/bin/env python3
from dfatool import AnalyticModel, TimingData, pta_trace_to_aggregate
+from utils import prune_dependent_parameters
import unittest
class TestModels(unittest.TestCase):
@@ -30,5 +31,34 @@ class TestModels(unittest.TestCase):
self.assertAlmostEqual(param_info('write', 'duration')['function']._regression_args[2], 1, places=0)
self.assertAlmostEqual(param_info('write', 'duration')['function']._regression_args[3], 1, places=0)
+ def test_dependent_parameter_pruning(self):
+ raw_data = TimingData(['test-data/20190815_103347_nRF24_no-rx.json'])
+ preprocessed_data = raw_data.get_preprocessed_data(verbose = False)
+ by_name, parameters, arg_count = pta_trace_to_aggregate(preprocessed_data)
+ prune_dependent_parameters(by_name, parameters)
+ model = AnalyticModel(by_name, parameters, arg_count, verbose = False)
+ self.assertEqual(model.names, 'getObserveTx setPALevel setRetries setup write'.split(' '))
+ static_model = model.get_static()
+ self.assertAlmostEqual(static_model('getObserveTx', 'duration'), 75, places=0)
+ self.assertAlmostEqual(static_model('setPALevel', 'duration'), 146, places=0)
+ self.assertAlmostEqual(static_model('setRetries', 'duration'), 73, places=0)
+ self.assertAlmostEqual(static_model('setup', 'duration'), 6533, places=0)
+ self.assertAlmostEqual(static_model('write', 'duration'), 12634, places=0)
+
+ for transition in 'getObserveTx setPALevel setRetries setup write'.split(' '):
+ self.assertAlmostEqual(model.stats.param_dependence_ratio(transition, 'duration', 'channel'), 0, places=2)
+
+ param_model, param_info = model.get_fitted()
+ self.assertEqual(param_info('setPALevel', 'duration'), None)
+ self.assertEqual(param_info('setRetries', 'duration'), None)
+ self.assertEqual(param_info('setup', 'duration'), None)
+ self.assertEqual(param_info('write', 'duration')['function']._model_str, '0 + regression_arg(0) + regression_arg(1) * parameter(max_retry_count) + regression_arg(2) * parameter(retry_delay) + regression_arg(3) * parameter(max_retry_count) * parameter(retry_delay)')
+
+ self.assertAlmostEqual(param_info('write', 'duration')['function']._regression_args[0], 1163, places=0)
+ self.assertAlmostEqual(param_info('write', 'duration')['function']._regression_args[1], 464, places=0)
+ self.assertAlmostEqual(param_info('write', 'duration')['function']._regression_args[2], 1, places=0)
+ self.assertAlmostEqual(param_info('write', 'duration')['function']._regression_args[3], 1, places=0)
+
+
if __name__ == '__main__':
unittest.main()