def write_sorting(sorting: SortingExtractor, save_path: PathType):
# if multiple groups, use the NeuroscopeMultiSortingExtactor write function
if 'group' in sorting.get_shared_unit_property_names():
NeuroscopeMultiSortingExtractor.write_sorting(sorting, save_path)
else:
save_path.mkdir(parents=True, exist_ok=True)
if save_path.suffix == '':
sorting_name = save_path.name
else:
sorting_name = save_path.stem
xml_name = sorting_name
save_xml_filepath = save_path / (str(xml_name) + '.xml')
# create parameters file if none exists
if save_xml_filepath.is_file():
raise FileExistsError(f'{save_xml_filepath} already exists!')
xml_root = et.Element('xml')
et.SubElement(xml_root, 'acquisitionSystem')
et.SubElement(xml_root.find('acquisitionSystem'), 'samplingRate')
xml_root.find('acquisitionSystem').find('samplingRate').text = str(
sorting.get_sampling_frequency())
et.ElementTree(xml_root).write(str(save_xml_filepath.absolute()),
pretty_print=True)
# Create and save .res and .clu files from the current sorting object
save_res = save_path / f'{sorting_name}.res'
save_clu = save_path / f'{sorting_name}.clu'
res, clu = _extract_res_clu_arrays(sorting)
np.savetxt(save_res, res, fmt='%i')
np.savetxt(save_clu, clu, fmt='%i')
def write_sorting(sorting: SortingExtractor, save_path: PathType):
# if multiple groups, use the NeuroscopeMultiSortingExtactor write function
if 'group' in sorting.get_shared_unit_property_names():
NeuroscopeMultiSortingExtractor.write_sorting(sorting, save_path)
else:
if not save_path.is_dir():
os.makedirs(save_path)
if save_path.suffix == '':
sorting_name = save_path.name
else:
sorting_name = save_path.stem
xml_name = sorting_name
save_xml_filepath = save_path / (str(xml_name) + '.xml')
# create parameters file if none exists
if save_xml_filepath.is_file():
raise FileExistsError(f'{save_xml_filepath} already exists!')
soup = BeautifulSoup("", 'xml')
new_tag = soup.new_tag('samplingrate')
new_tag.string = str(sorting.get_sampling_frequency())
soup.append(new_tag)
# write parameters file
with save_xml_filepath.open("w") as f:
f.write(str(soup))
# Create and save .res and .clu files from the current sorting object
save_res = save_path / f'{sorting_name}.res'
save_clu = save_path / f'{sorting_name}.clu'
res, clu = _extract_res_clu_arrays(sorting)
np.savetxt(save_res, res, fmt='%i')
np.savetxt(save_clu, clu, fmt='%i')
