def setUp(self):
self.sample_data = np.array(self.random_data())
self.sample_data_basename = "sample.dat"
self.sample_data_file = os.path.join(os.path.dirname(__file__),
self.sample_data_basename)
with h5py.File(self.sample_data_file, 'w') as fidout:
fidout.create_dataset(self.sample_data_basename, data=self.sample_data)
self.mock_controller = ""
self.model = model.MainModel(self.mock_controller)
cfg = config.Configure(pathfinder.config_path())
self.original_loglevel = cfg.get_app_option("log level")
def __init__(self, parent):
maingui.MainFrame.__init__(self, parent)
self.Fit()
BindingCheckBox('loadonstart')
BindingCheckBox('emptydriveletters')
BindingCheckBox('capitaldriveletters')
BindingCheckBox('skipfloppys')
self.model = mainmodel.MainModel()
if self.loadonstart.value:
self.model.RefreshDosDevices()
def __init__(self, parent):
maingui.MainFrame.__init__(self, parent)
wxfb.BindingFilePicker('fileread')
wxfb.BindingCheckBox('loadlast', default=True)
wxfb.BindingButton('recalculate')
wxfb.BindingButton('save')
wxfb.BindingButton('saveas')
wxfb.BindingTextCtrl('crcold', config=False)
wxfb.BindingTextCtrl('crcnew', config=False)
self.model = mainmodel.MainModel()
if self.loadlast.value and self.fileread.path:
if os.path.isfile(self.fileread.path):
self.model.load(self.fileread.path)
def init_model(self):
"""Creates and connects the model, ensures data paths are available"""
self.model = mainmodel.MainModel(self)