Remove verbose arg from tests

1 files changed, 12 insertions, 12 deletions

diff --git a/test/test_ptamodel.py b/test/test_ptamodel.py
index 7d501e6..7e398bd 100755
--- a/test/test_ptamodel.py
+++ b/test/test_ptamodel.py
@@ -9,9 +9,9 @@ import pytest
 class TestModels(unittest.TestCase):
     def test_model_singlefile_rf24(self):
         raw_data = RawData(['test-data/20170220_164723_RF24_int_A.tar'])
-        preprocessed_data = raw_data.get_preprocessed_data(verbose=False)
+        preprocessed_data = raw_data.get_preprocessed_data()
         by_name, parameters, arg_count = pta_trace_to_aggregate(preprocessed_data)
-        model = PTAModel(by_name, parameters, arg_count, verbose=False)
+        model = PTAModel(by_name, parameters, arg_count)
         self.assertEqual(model.states(), 'POWERDOWN RX STANDBY1 TX'.split(' '))
         self.assertEqual(model.transitions(), 'begin epilogue powerDown powerUp setDataRate_num setPALevel_num startListening stopListening write_nb'.split(' '))
         static_model = model.get_static()
@@ -78,9 +78,9 @@ class TestModels(unittest.TestCase):
 
     def test_model_singlefile_mmparam(self):
         raw_data = RawData(['test-data/20161221_123347_mmparam.tar'])
-        preprocessed_data = raw_data.get_preprocessed_data(verbose=False)
+        preprocessed_data = raw_data.get_preprocessed_data()
         by_name, parameters, arg_count = pta_trace_to_aggregate(preprocessed_data)
-        model = PTAModel(by_name, parameters, arg_count, verbose=False)
+        model = PTAModel(by_name, parameters, arg_count)
         self.assertEqual(model.states(), 'OFF ON'.split(' '))
         self.assertEqual(model.transitions(), 'off setBrightness'.split(' '))
         static_model = model.get_static()
@@ -109,9 +109,9 @@ class TestModels(unittest.TestCase):
             'test-data/20170116_131306_LM75x.tar',
         ]
         raw_data = RawData(testfiles)
-        preprocessed_data = raw_data.get_preprocessed_data(verbose=False)
+        preprocessed_data = raw_data.get_preprocessed_data()
         by_name, parameters, arg_count = pta_trace_to_aggregate(preprocessed_data)
-        model = PTAModel(by_name, parameters, arg_count, verbose=False)
+        model = PTAModel(by_name, parameters, arg_count)
         self.assertEqual(model.states(), 'ACTIVE POWEROFF'.split(' '))
         self.assertEqual(model.transitions(), 'getTemp setHyst setOS shutdown start'.split(' '))
         static_model = model.get_static()
@@ -139,9 +139,9 @@ class TestModels(unittest.TestCase):
             'test-data/20170116_151348_sharpLS013B4DN.tar',
         ]
         raw_data = RawData(testfiles)
-        preprocessed_data = raw_data.get_preprocessed_data(verbose=False)
+        preprocessed_data = raw_data.get_preprocessed_data()
         by_name, parameters, arg_count = pta_trace_to_aggregate(preprocessed_data)
-        model = PTAModel(by_name, parameters, arg_count, verbose=False)
+        model = PTAModel(by_name, parameters, arg_count)
         self.assertEqual(model.states(), 'DISABLED ENABLED'.split(' '))
         self.assertEqual(model.transitions(), 'clear disable enable ioInit sendLine toggleVCOM'.split(' '))
         static_model = model.get_static()
@@ -172,9 +172,9 @@ class TestModels(unittest.TestCase):
             'test-data/20170116_142654_mmstatic.tar',
         ]
         raw_data = RawData(testfiles)
-        preprocessed_data = raw_data.get_preprocessed_data(verbose=False)
+        preprocessed_data = raw_data.get_preprocessed_data()
         by_name, parameters, arg_count = pta_trace_to_aggregate(preprocessed_data)
-        model = PTAModel(by_name, parameters, arg_count, verbose=False)
+        model = PTAModel(by_name, parameters, arg_count)
         self.assertEqual(model.states(), 'B G OFF R'.split(' '))
         self.assertEqual(model.transitions(), 'blue green off red'.split(' '))
         static_model = model.get_static()
@@ -206,9 +206,9 @@ class TestModels(unittest.TestCase):
             'test-data/20170125_154019_cc1200.tar',
         ]
         raw_data = RawData(testfiles)
-        preprocessed_data = raw_data.get_preprocessed_data(verbose=False)
+        preprocessed_data = raw_data.get_preprocessed_data()
         by_name, parameters, arg_count = pta_trace_to_aggregate(preprocessed_data)
-        model = PTAModel(by_name, parameters, arg_count, verbose=False)
+        model = PTAModel(by_name, parameters, arg_count)
         self.assertEqual(model.states(), 'IDLE RX SLEEP SLEEP_EWOR SYNTH_ON TX XOFF'.split(' '))
         self.assertEqual(model.transitions(), 'crystal_off eWOR idle init prepare_xmit receive send setSymbolRate setTxPower sleep txDone'.split(' '))
         static_model = model.get_static()