def _load_h5(filename):
'''Delay loading of h5py until it is needed'''
from neurom.io import hdf5
return hdf5.read(filename,
remove_duplicates=False,
data_wrapper=DataWrapper)
def _load_h5(filename):
"""Delay loading of h5py until it is needed."""
return hdf5.read(filename,
remove_duplicates=False,
data_wrapper=DataWrapper)
def _load_h5(filename):
'''Delay loading of h5py until it is needed'''
from neurom.io import hdf5
return hdf5.read(filename,
remove_duplicates=False,
data_wrapper=DataWrapper)
def test_consistency_between_v1_v2():
v1_data = hdf5.read(os.path.join(H5V1_PATH, 'Neuron.h5'))
v2_data = hdf5.read(os.path.join(H5V2_PATH, 'Neuron.h5'))
nt.ok_(np.allclose(v1_data.data_block, v2_data.data_block))
def test_consistency_between_h5_swc():
h5_data = hdf5.read(os.path.join(H5V1_PATH, 'Neuron.h5'), remove_duplicates=True)
swc_data = swc.read(os.path.join(SWC_PATH, 'Neuron.swc'))
nt.ok_(np.allclose(h5_data.data_block.shape, swc_data.data_block.shape))
def setup(self):
self.data = hdf5.read(os.path.join(H5V2_PATH, 'Neuron.h5'))
self.first_id = int(self.data.data_block[0][COLS.ID])
self.rows = len(self.data.data_block)
def read_h5(filename):
'''Lazy loading of HDF5 reader'''
from neurom.io import hdf5
return hdf5.read(filename,
remove_duplicates=True,
data_wrapper=DataWrapper)
def test_consistency_between_h5_swc():
h5_data = hdf5.read(Path(H5V1_PATH, 'Neuron.h5'), remove_duplicates=True)
swc_data = swc.read(Path(SWC_PATH, 'Neuron.swc'))
nt.ok_(np.allclose(h5_data.data_block.shape, swc_data.data_block.shape))
def test_consistency_between_v1_v2():
v1_data = hdf5.read(Path(H5V1_PATH, 'Neuron.h5'))
v2_data = hdf5.read(Path(H5V2_PATH, 'Neuron.h5'))
nt.ok_(np.allclose(v1_data.data_block, v2_data.data_block))
def setup(self):
self.data = hdf5.read(Path(H5V2_PATH, 'Neuron.h5'))
self.first_id = int(self.data.data_block[0][COLS.ID])
self.rows = len(self.data.data_block)
