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')