def createjob_get_similar_units(labbox, recording_object, sorting_object):
from labbox_ephys import prepare_snippets_h5
jh = labbox.get_job_handler('partition3')
jc = labbox.get_default_job_cache()
with hi.Config(job_cache=jc, job_handler=jh, container=jh.is_remote):
snippets_h5 = prepare_snippets_h5.run(
recording_object=recording_object, sorting_object=sorting_object)
return get_similar_units.run(snippets_h5=snippets_h5)
def preload_extract_snippets(labbox, recording_object, sorting_object):
from labbox_ephys import prepare_snippets_h5
jh = labbox.get_job_handler('partition2')
jc = labbox.get_job_cache()
with hi.Config(job_cache=jc, job_handler=jh, container=jh.is_remote):
snippets_h5 = prepare_snippets_h5.run(
recording_object=recording_object, sorting_object=sorting_object)
return snippets_h5
def createjob_fetch_pca_features(labbox, recording_object, sorting_object,
unit_ids):
jh = labbox.get_job_handler('partition2')
jc = labbox.get_default_job_cache()
with hi.Config(job_cache=jc, job_handler=jh, container=jh.is_remote):
snippets_h5 = prepare_snippets_h5.run(
recording_object=recording_object, sorting_object=sorting_object)
return fetch_pca_features.run(snippets_h5=snippets_h5,
unit_ids=unit_ids)
def createjob_fetch_spike_amplitudes(labbox, recording_object, sorting_object,
unit_id):
from labbox_ephys import prepare_snippets_h5
jh = labbox.get_job_handler('partition1')
jc = labbox.get_job_cache()
with hi.Config(job_cache=jc, job_handler=jh, container=jh.is_remote):
snippets_h5 = prepare_snippets_h5.run(
recording_object=recording_object, sorting_object=sorting_object)
return fetch_spike_amplitudes.run(snippets_h5=snippets_h5,
unit_id=unit_id)
def createjob_get_unit_snrs(labbox,
sorting_object,
recording_object,
configuration={}):
jh = labbox.get_job_handler('partition1')
jc = labbox.get_job_cache()
with hi.Config(job_cache=jc, job_handler=jh, use_container=jh.is_remote()):
snippets_h5 = prepare_snippets_h5.run(
recording_object=recording_object, sorting_object=sorting_object)
return get_unit_snrs.run(snippets_h5=snippets_h5)
def createjob_fetch_average_waveform_plot_data(labbox, recording_object,
sorting_object, unit_id):
from labbox_ephys import prepare_snippets_h5
jh = labbox.get_job_handler('partition2')
jc = labbox.get_default_job_cache()
with hi.Config(job_cache=jc, job_handler=jh, container=jh.is_remote):
snippets_h5 = prepare_snippets_h5.run(
recording_object=recording_object, sorting_object=sorting_object)
return fetch_average_waveform_plot_data.run(snippets_h5=snippets_h5,
unit_id=unit_id)
def createjob_individual_cluster_features(labbox, recording_object,
sorting_object, unit_id):
from labbox_ephys import prepare_snippets_h5
jh = labbox.get_job_handler('partition1')
jc = labbox.get_job_cache()
with hi.Config(job_cache=jc, job_handler=jh, use_container=jh.is_remote()):
snippets_h5 = prepare_snippets_h5.run(
recording_object=recording_object, sorting_object=sorting_object)
return individual_cluster_features.run(snippets_h5=snippets_h5,
unit_id=unit_id)
def createjob_fetch_spike_waveforms(labbox, recording_object, sorting_object,
unit_ids, spike_indices):
jh = labbox.get_job_handler('partition1')
jc = labbox.get_job_cache()
with hi.Config(job_cache=jc, job_handler=jh, container=jh.is_remote):
snippets_h5 = prepare_snippets_h5.run(
recording_object=recording_object, sorting_object=sorting_object)
return fetch_spike_waveforms.run(snippets_h5=snippets_h5,
unit_ids=unit_ids,
spike_indices=spike_indices)
def createjob_fetch_average_waveform_2(labbox: LabboxContext, recording_object,
sorting_object, unit_id):
from labbox_ephys import prepare_snippets_h5
jh = labbox.get_job_handler('partition1')
jc = labbox.get_job_cache()
with hi.Config(job_cache=jc, job_handler=jh, use_container=jh.is_remote()):
snippets_h5 = prepare_snippets_h5.run(
recording_object=recording_object, sorting_object=sorting_object)
return fetch_average_waveform_2.run(snippets_h5=snippets_h5,
unit_id=unit_id)
def createjob_get_peak_channels(labbox,
sorting_object,
recording_object,
configuration={}):
jh = labbox.get_job_handler('partition2')
jc = labbox.get_default_job_cache()
with hi.Config(job_cache=jc, job_handler=jh, container=jh.is_remote):
snippets_h5 = prepare_snippets_h5.run(
recording_object=recording_object, sorting_object=sorting_object)
return get_peak_channels.run(snippets_h5=snippets_h5)
def createjob_get_sorting_unit_snippets(labbox, recording_object,
sorting_object, unit_id, time_range,
max_num_snippets):
from labbox_ephys import prepare_snippets_h5
jh = labbox.get_job_handler('partition1')
jc = labbox.get_job_cache()
with hi.Config(job_cache=jc, job_handler=jh, container=jh.is_remote):
snippets_h5 = prepare_snippets_h5.run(
recording_object=recording_object, sorting_object=sorting_object)
return get_sorting_unit_snippets.run(snippets_h5=snippets_h5,
unit_id=unit_id,
time_range=time_range,
max_num_snippets=max_num_snippets)
