def _mtag_eest_to_neo(self, nix_mtag, lazy):
neo_attrs = self._nix_attr_to_neo(nix_mtag)
neo_type = nix_mtag.type
time_unit = nix_mtag.positions.unit
if lazy:
times = pq.Quantity(np.empty(0), time_unit)
lazy_shape = np.shape(nix_mtag.positions)
else:
times = pq.Quantity(nix_mtag.positions, time_unit)
lazy_shape = None
if neo_type == "neo.epoch":
if lazy:
durations = pq.Quantity(np.empty(0), nix_mtag.extents.unit)
labels = np.empty(0, dtype='S')
else:
durations = pq.Quantity(nix_mtag.extents,
nix_mtag.extents.unit)
labels = np.array(nix_mtag.positions.dimensions[0].labels,
dtype="S")
eest = Epoch(times=times,
durations=durations,
labels=labels,
**neo_attrs)
elif neo_type == "neo.event":
if lazy:
labels = np.empty(0, dtype='S')
else:
labels = np.array(nix_mtag.positions.dimensions[0].labels,
dtype="S")
eest = Event(times=times, labels=labels, **neo_attrs)
elif neo_type == "neo.spiketrain":
if "t_start" in neo_attrs:
if "t_start.units" in neo_attrs:
t_start_units = neo_attrs["t_start.units"]
del neo_attrs["t_start.units"]
else:
t_start_units = time_unit
t_start = pq.Quantity(neo_attrs["t_start"], t_start_units)
del neo_attrs["t_start"]
else:
t_start = None
if "t_stop" in neo_attrs:
if "t_stop.units" in neo_attrs:
t_stop_units = neo_attrs["t_stop.units"]
del neo_attrs["t_stop.units"]
else:
t_stop_units = time_unit
t_stop = pq.Quantity(neo_attrs["t_stop"], t_stop_units)
del neo_attrs["t_stop"]
else:
t_stop = None
if "sampling_interval.units" in neo_attrs:
interval_units = neo_attrs["sampling_interval.units"]
del neo_attrs["sampling_interval.units"]
else:
interval_units = None
if "left_sweep.units" in neo_attrs:
left_sweep_units = neo_attrs["left_sweep.units"]
del neo_attrs["left_sweep.units"]
else:
left_sweep_units = None
eest = SpikeTrain(times=times,
t_start=t_start,
t_stop=t_stop,
**neo_attrs)
if len(nix_mtag.features):
wfda = nix_mtag.features[0].data
wftime = self._get_time_dimension(wfda)
if lazy:
eest.waveforms = pq.Quantity(np.empty((0, 0, 0)),
wfda.unit)
eest.sampling_period = pq.Quantity(1, wftime.unit)
eest.left_sweep = pq.Quantity(0, wftime.unit)
else:
eest.waveforms = pq.Quantity(wfda, wfda.unit)
if interval_units is None:
interval_units = wftime.unit
eest.sampling_period = pq.Quantity(
wftime.sampling_interval, interval_units)
if left_sweep_units is None:
left_sweep_units = wftime.unit
if "left_sweep" in wfda.metadata:
eest.left_sweep = pq.Quantity(
wfda.metadata["left_sweep"], left_sweep_units)
else:
return None
self._object_map[nix_mtag.id] = eest
if lazy_shape:
eest.lazy_shape = lazy_shape
return eest
def _mtag_eest_to_neo(self, nix_mtag, lazy):
neo_attrs = self._nix_attr_to_neo(nix_mtag)
neo_type = nix_mtag.type
time_unit = nix_mtag.positions.unit
if lazy:
times = pq.Quantity(np.empty(0), time_unit)
lazy_shape = np.shape(nix_mtag.positions)
else:
times = pq.Quantity(nix_mtag.positions, time_unit)
lazy_shape = None
if neo_type == "neo.epoch":
if lazy:
durations = pq.Quantity(np.empty(0), nix_mtag.extents.unit)
labels = np.empty(0, dtype='S')
else:
durations = pq.Quantity(nix_mtag.extents,
nix_mtag.extents.unit)
labels = np.array(nix_mtag.positions.dimensions[0].labels,
dtype="S")
eest = Epoch(times=times, durations=durations, labels=labels,
**neo_attrs)
elif neo_type == "neo.event":
if lazy:
labels = np.empty(0, dtype='S')
else:
labels = np.array(nix_mtag.positions.dimensions[0].labels,
dtype="S")
eest = Event(times=times, labels=labels, **neo_attrs)
elif neo_type == "neo.spiketrain":
if "t_start" in neo_attrs:
if "t_start.units" in neo_attrs:
t_start_units = neo_attrs["t_start.units"]
del neo_attrs["t_start.units"]
else:
t_start_units = time_unit
t_start = pq.Quantity(neo_attrs["t_start"], t_start_units)
del neo_attrs["t_start"]
else:
t_start = None
if "t_stop" in neo_attrs:
if "t_stop.units" in neo_attrs:
t_stop_units = neo_attrs["t_stop.units"]
del neo_attrs["t_stop.units"]
else:
t_stop_units = time_unit
t_stop = pq.Quantity(neo_attrs["t_stop"], t_stop_units)
del neo_attrs["t_stop"]
else:
t_stop = None
if "sampling_interval.units" in neo_attrs:
interval_units = neo_attrs["sampling_interval.units"]
del neo_attrs["sampling_interval.units"]
else:
interval_units = None
if "left_sweep.units" in neo_attrs:
left_sweep_units = neo_attrs["left_sweep.units"]
del neo_attrs["left_sweep.units"]
else:
left_sweep_units = None
eest = SpikeTrain(times=times, t_start=t_start,
t_stop=t_stop, **neo_attrs)
if len(nix_mtag.features):
wfda = nix_mtag.features[0].data
wftime = self._get_time_dimension(wfda)
if lazy:
eest.waveforms = pq.Quantity(np.empty((0, 0, 0)),
wfda.unit)
eest.sampling_period = pq.Quantity(1, wftime.unit)
eest.left_sweep = pq.Quantity(0, wftime.unit)
else:
eest.waveforms = pq.Quantity(wfda, wfda.unit)
if interval_units is None:
interval_units = wftime.unit
eest.sampling_period = pq.Quantity(
wftime.sampling_interval, interval_units
)
if left_sweep_units is None:
left_sweep_units = wftime.unit
if "left_sweep" in wfda.metadata:
eest.left_sweep = pq.Quantity(
wfda.metadata["left_sweep"], left_sweep_units
)
else:
return None
self._neo_map[nix_mtag.name] = eest
if lazy_shape:
eest.lazy_shape = lazy_shape
return eest
