def get_stimulus_table(self, stimulus_name):
''' Return a stimulus table given a stimulus name
Notes
-----
For more information, see:
http://help.brain-map.org/display/observatory/Documentation?preview=/10616846/10813485/VisualCoding_VisualStimuli.pdf
'''
if stimulus_name == 'master':
return self._get_master_stimulus_table()
with h5py.File(self.nwb_file, 'r') as nwb_file:
stimulus_group = _find_stimulus_presentation_group(
nwb_file, stimulus_name)
if stimulus_name in self.STIMULUS_TABLE_TYPES[
'abstract_feature_series']:
datasets = h5_utilities.load_datasets_by_relnames(
['data', 'features', 'frame_duration'], nwb_file,
stimulus_group)
return _make_abstract_feature_series_stimulus_table(
datasets['data'],
h5_utilities.decode_bytes(datasets['features']),
datasets['frame_duration'])
if stimulus_name in self.STIMULUS_TABLE_TYPES[
'indexed_time_series']:
datasets = h5_utilities.load_datasets_by_relnames(
['data', 'frame_duration'], nwb_file, stimulus_group)
return _make_indexed_time_series_stimulus_table(
datasets['data'], datasets['frame_duration'])
if stimulus_name in self.STIMULUS_TABLE_TYPES[
'repeated_indexed_time_series']:
datasets = h5_utilities.load_datasets_by_relnames(
['data', 'frame_duration'], nwb_file, stimulus_group)
return _make_repeated_indexed_time_series_stimulus_table(
datasets['data'], datasets['frame_duration'])
if stimulus_name == 'spontaneous':
datasets = h5_utilities.load_datasets_by_relnames(
['data', 'frame_duration'], nwb_file, stimulus_group)
return _make_spontaneous_activity_stimulus_table(
datasets['data'], datasets['frame_duration'])
raise IOError("Could not find a stimulus table named '%s'" %
stimulus_name)
def get_stimulus_table(self, stimulus_name):
''' Return a stimulus table given a stimulus name
Notes
-----
For more information, see:
http://help.brain-map.org/display/observatory/Documentation?preview=/10616846/10813485/VisualCoding_VisualStimuli.pdf
'''
if stimulus_name == 'master':
return self._get_master_stimulus_table()
with h5py.File(self.nwb_file, 'r') as nwb_file:
stimulus_group = _find_stimulus_presentation_group(nwb_file, stimulus_name)
if stimulus_name in self.STIMULUS_TABLE_TYPES['abstract_feature_series']:
datasets = h5_utilities.load_datasets_by_relnames(
['data', 'features', 'frame_duration'], nwb_file, stimulus_group)
return _make_abstract_feature_series_stimulus_table(
datasets['data'], h5_utilities.decode_bytes(datasets['features']), datasets['frame_duration'])
if stimulus_name in self.STIMULUS_TABLE_TYPES['indexed_time_series']:
datasets = h5_utilities.load_datasets_by_relnames(['data', 'frame_duration'], nwb_file, stimulus_group)
return _make_indexed_time_series_stimulus_table(datasets['data'], datasets['frame_duration'])
if stimulus_name in self.STIMULUS_TABLE_TYPES['repeated_indexed_time_series']:
datasets = h5_utilities.load_datasets_by_relnames(['data', 'frame_duration'], nwb_file, stimulus_group)
return _make_repeated_indexed_time_series_stimulus_table(datasets['data'], datasets['frame_duration'])
if stimulus_name == 'spontaneous':
datasets = h5_utilities.load_datasets_by_relnames(['data', 'frame_duration'], nwb_file, stimulus_group)
return _make_spontaneous_activity_stimulus_table(datasets['data'], datasets['frame_duration'])
raise IOError("Could not find a stimulus table named '%s'" % stimulus_name)
def test_decode_bytes():
inp = np.array([b'a', b'b', b'c'])
obt = h5_utilities.decode_bytes(inp)
assert(np.array_equal( obt, ['a', 'b', 'c'] ))
def test_decode_bytes():
inp = np.array([b'a', b'b', b'c'])
obt = h5_utilities.decode_bytes(inp)
assert (np.array_equal(obt, ['a', 'b', 'c']))