Closed khl02007 closed 2 years ago
We will need to wrap LabboxEphysRecordingExtractor in a new spikeinterface recording. Let's find a time to work on this.
On Monday, October 4, 2021, Kyu Hyun Lee @.***> wrote:
in the new spikeinterface, recordings need a get_num_segments but LabboxEphysRecordingExtractor doesn't have it so whitening throws error
AttributeError Traceback (most recent call last) /tmp/ipykernel_665132/2974607477.py in
----> 1 nd.common.SpikeSorting.populate([(nd.common.SpikeSortingSelection & {'nwb_filename' : 'beans20190718.nwb', 2 'sort_interval_name': 'beans_02_r1_10s'}).proj()]) ~/miniconda3/envs/nwb_datajoint/lib/python3.8/site-packages/datajoint/autopopulate.py in populate(self, suppress_errors, return_exception_objects, reserve_jobs, order, limit, max_calls, display_progress, *restrictions) 151 self.class._allow_insert = True 152 try: --> 153 make(dict(key)) 154 except (KeyboardInterrupt, SystemExit, Exception) as error: 155 try:
~/repos/nwb_datajoint/src/nwb_datajoint/common/common_spikesorting.py in make(self, key) 897 filter_params = (SpikeSortingFilterParameters & key).fetch1('filter_parameter_dict') 898 # TODO: turn SpikeSortingFilterParameters to SpikeSortingPreprocessingParameters and include seed, chunk size etc --> 899 recording = st.preprocessing.whiten(recording, seed=0) 900 901 print(f'\nRunning spike sorting on {key}...')
~/miniconda3/envs/nwb_datajoint/lib/python3.8/site-packages/spikeinterface/toolkit/preprocessing/whiten.py in whiten(*args, kwargs) 59 # function for API 60 def whiten(*args, *kwargs): ---> 61 return WhitenRecording(args, kwargs) 62 63
~/miniconda3/envs/nwb_datajoint/lib/python3.8/site-packages/spikeinterface/toolkit/preprocessing/whiten.py in init(self, recording, random_chunk_kwargs) 23 24 def init(self, recording, random_chunk_kwargs): ---> 25 random_data = get_random_data_chunks(recording, **random_chunk_kwargs) 26 27 # compute whitening matrix
~/miniconda3/envs/nwb_datajoint/lib/python3.8/site-packages/spikeinterface/toolkit/utils.py in get_random_data_chunks(recording, num_chunks_per_segment, chunk_size, seed) 15 16 chunk_list = [] ---> 17 for segment_index in range(recording.get_num_segments()): 18 length = recording.get_num_frames(segment_index) 19 random_starts = np.random.RandomState(seed=seed).randint(0,
AttributeError: 'LabboxEphysRecordingExtractor' object has no attribute 'get_num_segments'
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in the new spikeinterface, recordings need a
get_num_segments
but LabboxEphysRecordingExtractor doesn't have it so whitening throws error