def test_drone_optical_flow_non_lazy_loading(self):
"""Test loading the drone optical flow example with lazy=False"""
dataset = 'Drone optical flow'
metadata = neurotic.MetadataSelector(file=self.temp_file,
initial_selection=dataset)
metadata.download_all_data_files()
blk = neurotic.load_dataset(metadata=metadata, lazy=False)
assert (blk)
def test_aplysia_feeding_non_lazy_loading(self):
"""Test loading the Aplysia feeding example with lazy=False"""
dataset = 'Aplysia feeding'
metadata = neurotic.MetadataSelector(file=self.temp_file,
initial_selection=dataset)
metadata.download_all_data_files()
blk = neurotic.load_dataset(metadata=metadata, lazy=False)
assert (blk)
def test_human_balance_beam_non_lazy_loading(self):
"""Test loading the human balance beam example with lazy=False"""
dataset = 'Human balance beam'
metadata = neurotic.MetadataSelector(file=self.temp_file,
initial_selection=dataset)
metadata.download_all_data_files()
blk = neurotic.load_dataset(metadata=metadata, lazy=False)
assert (blk)
def test_plain_text_axograph(self):
"""Test reading a plain text AXGT file using io_class and io_args"""
dataset = 'plain-text-axograph'
metadata = neurotic.MetadataSelector(file=self.temp_file,
initial_selection=dataset)
metadata.download('data_file')
blk = neurotic.load_dataset(metadata=metadata, lazy=False)
assert (blk)
def test_matlab(self):
"""Test reading a MATLAB file"""
dataset = 'matlab example'
metadata = neurotic.MetadataSelector(file=self.temp_file,
initial_selection=dataset)
metadata.download('data_file')
blk = neurotic.load_dataset(metadata=metadata, lazy=False)
assert (blk)
def test_missing_extension_io_class(self):
"""Test io_class works for data file with missing extension"""
dataset = 'missing-extension-with-io_class'
metadata = neurotic.MetadataSelector(file=self.temp_file,
initial_selection=dataset)
metadata.download('data_file')
blk = neurotic.load_dataset(metadata=metadata, lazy=True)
assert (blk)
def test_missing_data_file(self):
"""Test error is raised when data file is not found locally"""
dataset = 'video-jumps-unset'
metadata = neurotic.MetadataSelector(file=self.temp_file,
initial_selection=dataset)
# intentionally skipping downloading data file
with self.assertRaises(FileNotFoundError):
blk = neurotic.load_dataset(metadata=metadata, lazy=True)
def test_missing_extension_error(self):
"""Test error is raised when file extension and io_class are missing"""
dataset = 'missing-extension-without-io_class'
metadata = neurotic.MetadataSelector(file=self.temp_file,
initial_selection=dataset)
metadata.download('data_file')
with self.assertRaisesRegex(
IOError, 'Could not find an appropriate neo.io class .*'):
blk = neurotic.load_dataset(metadata=metadata, lazy=True)
def test_video_jumps(self):
"""Test video jump estimation for AxoGraph file with pauses"""
dataset = 'video-jumps-unset'
metadata = neurotic.MetadataSelector(file=self.temp_file,
initial_selection=dataset)
metadata.download('data_file')
blk = neurotic.load_dataset(metadata=metadata, lazy=True)
video_jumps = neurotic.gui.config._estimate_video_jump_times(blk)
del blk
assert_array_almost_equal(
np.array(video_jumps),
np.array([[1.1998, 3], [4.6998, 3], [5.2998, 3]]),
decimal=12,
err_msg='_estimate_video_jump_times gave unexpected result')
def test_empty_plots(self):
"""Test ephyviewer window with empty plot list"""
file = self.temp_test_file
dataset = 'empty-plots'
metadata = neurotic.MetadataSelector(file=file,
initial_selection=dataset)
metadata.download_all_data_files()
lazy = False # TODO: get lazy=True case to work
# (tearDown fails due to file lock)
blk = neurotic.load_dataset(metadata=metadata, lazy=lazy)
ephyviewer_config = neurotic.EphyviewerConfigurator(metadata,
blk,
lazy=lazy)
ephyviewer_config.show_all()
app = mkQApp()
win = ephyviewer_config.create_ephyviewer_window()
self.assertIsInstance(win, MainViewer)
# close thread properly
win.close()