Traceback (most recent call last):


 "/Users/georgepf/env/bin/bpython", line 8, in <module>

sys.exit(main())


 "/Users/georgepf/env/lib/python3.9/site-packages/bpython/curtsies.py", line 221, in main

exit_value = repl.mainloop(True, paste)


 "/Users/georgepf/env/lib/python3.9/site-packages/bpython/curtsies.py", line 133, in mainloop

self.process_event_and_paint(e)


 "/Users/georgepf/env/lib/python3.9/site-packages/bpython/curtsies.py", line 97, in process_event_and_paint

self.process_event(e)


 "/Users/georgepf/env/lib/python3.9/site-packages/bpython/curtsiesfrontend/repl.py", line 658, in process_event

return self.process_key_event(e)


 "/Users/georgepf/env/lib/python3.9/site-packages/bpython/curtsiesfrontend/repl.py", line 825, in process_key_event

self.add_normal_character(e)


 "/Users/georgepf/env/lib/python3.9/site-packages/bpython/curtsiesfrontend/repl.py", line 1111, in add_normal_character

self.cursor_offset += 1


 "/Users/georgepf/env/lib/python3.9/site-packages/bpython/curtsiesfrontend/repl.py", line 1821, in _set_cursor_offset

self.update_completion()


 "/Users/georgepf/env/lib/python3.9/site-packages/bpython/curtsiesfrontend/repl.py", line 1143, in update_completion

self.list_win_visible = self.complete(tab)


 "/Users/georgepf/env/lib/python3.9/site-packages/bpython/repl.py", line 770, in complete

self.matches_iter.update(


 "/Users/georgepf/env/lib/python3.9/site-packages/bpython/repl.py", line 356, in update

self.start, self.end, self.current_word = self.completer.locate(
TypeError: cannot unpack non-iterable NoneType object

Traceback (most recent call last):


 "/home/machinelearning/anaconda3/envs/graphsage-simple-master/lib/python3.6/runpy.py", line 193, in _run_module_as_main

"__main__", mod_spec)


 "/home/machinelearning/anaconda3/envs/graphsage-simple-master/lib/python3.6/runpy.py", line 85, in _run_code

exec(code, run_globals)


 "/home/machinelearning/Documents/graphsage-simple-master/graphsage/model.py", line 183, in <module>

run_cora()


 "/home/machinelearning/Documents/graphsage-simple-master/graphsage/model.py", line 69, in run_cora

feat_data, labels, adj_lists = load_cora()


 "/home/machinelearning/Documents/graphsage-simple-master/graphsage/model.py", line 49, in load_cora

feat_data[i, :] = map(float(), info[1:-1])
TypeError: float() argument must be a string or a number, not 'map'
