def setup_method(self, method):
s = BaseSignal(np.empty((5, 5, 5)))
s.save('tmp.hdf5', overwrite=True)
self.shape = (10000, 10000, 100)
del s
f = h5py.File('tmp.hdf5', mode='r+')
s = f['Experiments/__unnamed__']
del s['data']
s.create_dataset('data',
shape=self.shape,
dtype='float64',
chunks=True)
f.close()
def setUp(self):
s = BaseSignal(np.empty((5, 5, 5)))
s.save('tmp.hdf5', overwrite=True)
self.shape = (10000, 10000, 100)
del s
f = h5py.File('tmp.hdf5', model='r+')
s = f['Experiments/__unnamed__']
del s['data']
s.create_dataset(
'data',
shape=self.shape,
dtype='float64',
chunks=True)
f.close()
def test_lazy_loading(tmp_path):
s = BaseSignal(np.empty((5, 5, 5)))
fname = tmp_path / 'tmp.hdf5'
s.save(fname, overwrite=True)
shape = (10000, 10000, 100)
del s
f = h5py.File(fname, mode='r+')
s = f['Experiments/__unnamed__']
del s['data']
s.create_dataset('data', shape=shape, dtype='float64', chunks=True)
f.close()
s = load(fname, lazy=True)
assert shape == s.data.shape
assert isinstance(s.data, da.Array)
assert s._lazy
s.close_file()
