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How to use reset_logs method in lettuce-tools
Best Python code snippet using lettuce-tools_python
test_signals.py
Source:test_signals.py 
...41 listenWithArgs.LOGGER.append( text )42 pass43 listenWithArgs.LOGGER = []44 #--------------------------------------------------------------------------------------45 def reset_logs() :46 del Listener.LOGGER[ : ]47 del listenFunction.LOGGER[ : ]48 del listenWithArgs.LOGGER[ : ]49 pass50 51 #--------------------------------------------------------------------------------------52 def count() :53 return \54 len( Listener.LOGGER ) + \55 len( listenFunction.LOGGER ) + \56 len( listenWithArgs.LOGGER )57 58 #--------------------------------------------------------------------------------------59 b = Button()60 l = Listener()61 62 #--------------------------------------------------------------------------------------63 # Demonstrating connecting and calling signals64 b.sigClick.connect( l.onClick )65 reset_logs()66 b.sigClick()67 assert len( Listener.LOGGER ) == 168 #--------------------------------------------------------------------------------------69 # Disconnecting all signals70 b.sigClick.disconnectAll()71 reset_logs()72 b.sigClick()73 assert len( Listener.LOGGER ) == 074 #--------------------------------------------------------------------------------------75 # connecting multiple functions to a signal76 l2 = Listener()77 b.sigClick.connect( l.onClick )78 b.sigClick.connect( l2.onClick )79 reset_logs()80 b.sigClick()81 82 assert len( Listener.LOGGER ) == 283 #--------------------------------------------------------------------------------------84 # disconnecting individual functions85 b.sigClick.disconnect( l.onClick )86 b.sigClick.connect( listenFunction )87 reset_logs()88 b.sigClick()89 90 assert len( Listener.LOGGER ) == 191 assert len( listenFunction.LOGGER ) == 192 #--------------------------------------------------------------------------------------93 # example with arguments and a local signal94 sig = Signal()95 sig.connect( listenWithArgs )96 reset_logs()97 sig( "Hello, World!" )98 assert len( listenWithArgs.LOGGER ) == 199 #--------------------------------------------------------------------------------------100 # signals disconnecting 'method slots' automatically101 b.sigClick.disconnectAll()102 b.sigClick.connect( l.onClick )103 b.sigClick.connect( l2.onClick )104 del l2105 reset_logs()106 b.sigClick()107 108 assert len( Listener.LOGGER ) == 1109 #--------------------------------------------------------------------------------------110 # signals disconnecting 'object slots' automatically111 b.sigClick.disconnectAll()112 b.sigClick.connect( l )113 del l114 reset_logs()115 b.sigClick()116 117 assert len( Listener.LOGGER ) == 0118 #--------------------------------------------------------------------------------------119 # signals disconnecting 'lambda slots' automatically120 sig = Signal()121 sig.connect( lambda *args : listenFunction() )122 reset_logs()123 sig( "Hello, World!" )124 assert len( listenFunction.LOGGER ) == 1125 #--------------------------------------------------------------------------------------126 pass127#--------------------------------------------------------------------------------------128def test_signals_1() :129 #--------------------------------------------------------------------------------------130 from test_utils import adjust_environment131 global_settings = adjust_environment()132 from reinteract.signals import Signal133 #--------------------------------------------------------------------------------------134 class Container( object ) :135 def __init__( self ) :136 self._attr = 'dummy'...
tutorial.py
Source:tutorial.py
...10if os.environ['USE_DTLS'] == '0':11 #12 # Hello world13 #14 reset_logs()15 tutorial1 = tutorial('subscribe ack')16 tutorial2 = tutorial('publish ack')17 expect(tutorial1, 'payload=Hello{}'.format(os.linesep))18 expect(tutorial2, 'payload=World{}'.format(os.linesep))19 #20 # Building a DPS network21 #22 reset_logs()23 tutorial1 = tutorial()24 tutorial2 = tutorial('-p {} subscribe ack'.format(tutorial1.port))25 tutorial3 = tutorial('-p {} publish ack'.format(tutorial1.port))26 expect(tutorial2, 'payload=Hello{}'.format(os.linesep))27 expect(tutorial3, 'payload=World{}'.format(os.linesep))28if os.environ['USE_DTLS'] != '0':29 #30 # DTLS with pre-shared keys31 #32 reset_logs()33 tutorial1 = tutorial('-x network-psk subscribe ack')34 tutorial2 = tutorial('-p {} -x network-psk publish ack'.format(tutorial1.port))35 expect(tutorial1, 'payload=Hello{}'.format(os.linesep))36 expect(tutorial2, 'payload=World{}'.format(os.linesep))37 #38 # DTLS with certificates39 #40 reset_logs()41 tutorial1 = tutorial('-x network-cert subscribe ack')42 tutorial2 = tutorial('-p {} -x network-cert publish ack'.format(tutorial1.port))43 expect(tutorial1, 'payload=Hello{}'.format(os.linesep))44 expect(tutorial2, 'payload=World{}'.format(os.linesep))45if os.environ['USE_DTLS'] == '0':46 #47 # Protecting the payload - symmetric key48 #49 reset_logs()50 tutorial1 = tutorial('-x symmetric subscribe ack')51 tutorial2 = tutorial('-p {} -x symmetric publish ack'.format(tutorial1.port))52 expect(tutorial1, 'payload=Hello{}'.format(os.linesep))53 expect(tutorial2, 'payload=World{}'.format(os.linesep))54 #55 # Protecting the payload - asymmetric key56 #57 reset_logs()58 tutorial1 = tutorial('-x asymmetric subscribe')59 tutorial2 = tutorial('-p {} -x asymmetric publish'.format(tutorial1.port))60 expect(tutorial1, 'payload=Hello{}'.format(os.linesep))61 #62 # Authenticating the sender - symmetric key63 #64 reset_logs()65 tutorial1 = tutorial('-x symmetric auth subscribe ack')66 tutorial2 = tutorial('-p {} -x symmetric auth publish ack'.format(tutorial1.port))67 expect(tutorial1, 'payload=Hello{}'.format(os.linesep))68 expect(tutorial2, 'payload=World{}'.format(os.linesep))69 #70 # Authenticating the sender - asymmetric key71 #72 reset_logs()73 tutorial1 = tutorial('-x asymmetric auth subscribe ack')74 tutorial2 = tutorial('-p {} -x asymmetric auth publish ack'.format(tutorial1.port))75 expect(tutorial1, 'payload=Hello{}'.format(os.linesep))...
logging_patch.py
Source:logging_patch.py
...4import pandas as pd5from .logging_utils import bytes_to_human_readable, collect_log_data, assign_diffs6def log_mem(self, msg='', verbose=False):7 if not hasattr(self, 'logs'):8 self.reset_logs()9 self.logs.append(collect_log_data(msg=msg, verbose=verbose))10def reset_logs(self):11 def resetter(module):12 module.logs = []13 module.t_init = time.time()14 self.apply(resetter)15def save_logs(self, path):16 strang = '\n'.join(self.combine_logs().long_msg.values)17 with open(path, 'w') as f:18 f.write(strang)19def combine_logs(self):20 LOGS = []21 def get_child_logs(module):22 df = getattr(module, 'log_df', pd.DataFrame())23 LOGS.append(df)24 self.apply(get_child_logs)25 log_df = pd.concat(LOGS).sort_values('time')26 return log_df.pipe(assign_diffs).sort_values('time')27def summary_fn(self):28 log_df = self.combine_logs()29 ranges = {x: log_df[x].max() - log_df[x].min() for x in ['cpu_mem', 'gpu_mem', 'time']}30 ranges['cpu_mem_chg'] = bytes_to_human_readable(ranges['cpu_mem'])31 ranges['gpu_mem_chg'] = bytes_to_human_readable(ranges['gpu_mem'])32 ranges['gpu_mem_max'] = bytes_to_human_readable(log_df['gpu_mem'].max())33 ranges['gpu_mem_min'] = bytes_to_human_readable(log_df['gpu_mem'].min())34 ranges['time_second'] = round(ranges['time'], 2)35 return pd.Series(ranges).drop(['gpu_mem', 'cpu_mem'])36from types import MethodType37import warnings38def patch_module_with_memory_mixin(model):39 """create logging methods using MethodType"""40 _method = lambda f: MethodType(f, model)41 try:42 model.reset_logs = _method(reset_logs)43 except AttributeError:44 warnings.warn('Cant patch attribute reset_logs, assuming LoggingMixin already being used')45 model.save_logs = _method(save_logs)46 model.save_log_csv = _method(save_log_csv)47 #model.log_mem = _method(log_mem)48 cls = type(model)49 cls.log_df = property(log_df_fn)50 model.log_mem = _method(log_mem)51 cls.summary = property(summary_fn)52 model.combine_logs = _method(combine_logs)53def log_df_fn(self):54 if not hasattr(self, 'logs'):55 self.reset_logs()56 log_df = pd.DataFrame(self.logs)57 return log_df58def save_log_csv(self, path):...
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