def setup_module(): setup_catalogue('test_report', dataset_name='striatum_rat') dataio = DataIO(dirname='test_report') initial_catalogue = dataio.load_catalogue(chan_grp=0) peeler = Peeler(dataio) peeler.change_params(catalogue=initial_catalogue, chunksize=1024) peeler.run(progressbar=False)
def setup_module(): dirname = 'test_peelerwindow' setup_catalogue(dirname, dataset_name='olfactory_bulb') dataio = DataIO(dirname=dirname) initial_catalogue = dataio.load_catalogue(chan_grp=0) peeler = Peeler(dataio) peeler.change_params(catalogue=initial_catalogue, chunksize=1024) t1 = time.perf_counter() peeler.run(progressbar=False) t2 = time.perf_counter() print('peeler.run_loop', t2 - t1)
def setup_module(): cc, params = setup_catalogue('test_cleancluster', dataset_name=dataset_name) cc.find_clusters(method=params['cluster_method'], **params['cluster_kargs']) cc.create_savepoint(name='after_find_clusters')
def setup_module(): dirname = 'test_cataloguewindow' setup_catalogue(dirname, dataset_name='olfactory_bulb')
def setup_module(): setup_catalogue('test_metrics', dataset_name='olfactory_bulb')
def setup_module(): setup_catalogue('test_cluster', dataset_name=dataset_name)
def setup_module(): setup_catalogue('test_peeler', dataset_name='olfactory_bulb')
def setup_module(): setup_catalogue('test_peeler', dataset_name='olfactory_bulb') setup_catalogue('test_peeler2', dataset_name='olfactory_bulb', duration=16.)
def setup_module(): setup_catalogue('test_decomposition', dataset_name=dataset_name)
def setup_module(): setup_catalogue('test_matplotlibplot', dataset_name='olfactory_bulb')