def setUp(self):
path = self.CONFIG
config = AppConfig(path)
self.fac = ImportConfigFactory(config, shared=True)
self.sent_text = 'I am a citizen of the United States of America.'
self.def_parse = ('I', 'am', 'a', 'citizen', 'of',
'the United States of America', '.')
self.sent_text2 = self.sent_text + " My name is Paul Landes."
def recreate_factory(self):
if hasattr(self.__class__, 'CONF_FILE'):
path = self.CONF_FILE
env = {'app_root': '.'}
self.config = AppEnvConfig(path, env=env)
else:
path = f'test-resources/{self.CONF}.conf'
self.config = AppConfig(path)
self.fac = ImportConfigFactory(self.config)
def setUp(self):
if hasattr(self.__class__, 'CONF_FILE'):
path = self.CONF_FILE
else:
path = 'test-resources/features.conf'
config = AppConfig(path)
self.fac = ImportConfigFactory(config, shared=True)
self.sent_text = 'I am a citizen of the United States of America.'
self.def_parse = ('I', 'am', 'a', 'citizen', 'of',
'the United States of America', '.')
if not hasattr(self.__class__, 'NO_VECTORIZER'):
self.vmng = self.fac.instance('feature_vectorizer_manager')
self.sent_text2 = self.sent_text + " My name is Paul Landes."
def factory(reload=True):
config = AppConfig('test-resources/adult/adult.conf',
env={'app_root': '.'})
fac = ImportConfigFactory(config, shared=True)
return fac
def factory():
config = AppConfig('test-resources/mnist/mnist.conf',
env={'app_root': '.'})
fac = ImportConfigFactory(config, reload=False)
return fac
def create_facade(*args, **kwargs) -> IrisModelFacade:
Deallocatable.ALLOCATION_TRACKING = True
config = AppConfig('test-resources/iris/iris.conf', env={'app_root': '.'})
return IrisModelFacade(config, *args, **kwargs)
def setUp(self):
TorchConfig.init()
config = AppConfig('test-resources/iris/iris.conf',
env={'app_root': '.'})
self.config = config
self.fac = ImportConfigFactory(config, shared=True, reload=False)
def setUp(self):
path = 'test-resources/transformer.conf'
config = AppConfig(path)
self.fac = ImportConfigFactory(config)
self.vmng = self.fac.instance('feature_vectorizer_manager')