krr-oxford / bertmap Goto Github PK

When I tried to reproduce the results, I found that BERTMap requires multiprocessing_on_dill, scikit-learn and textdistance to run. Please consider adding them in readme.

Traceback (most recent call last):
File "run_bertmap.py", line 404, in
prepare_data(config=config_json)
File "run_bertmap.py", line 90, in prepare_data
data_params["cut"],
File "D:\PycharmProjects\BERTMap\bertmap\onto\onto_box.py", line 47, in init
self.onto = get_ontology(f"file://{onto_file}").load()
File "D:\Python\Python37\lib\site-packages\owlready2\namespace.py", line 972, in load
try: new_base_iri = self.graph.parse(fileobj, default_base = self._orig_base_iri, **args)
File "D:\Python\Python37\lib\site-packages\owlready2\driver.py", line 256, in parse
multiprocessing.Process(target = do_parse).start()
File "D:\Python\Python37\lib\multiprocessing\process.py", line 112, in start
self._popen = self._Popen(self)
File "D:\Python\Python37\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "D:\Python\Python37\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "D:\Python\Python37\lib\multiprocessing\popen_spawn_win32.py", line 89, in init
reduction.dump(process_obj, to_child)
File "D:\Python\Python37\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
AttributeError: Can't pickle local object 'BaseSubGraph.parse..do_parse'