Parsing & Preprocessing...
Token Matching...
VSM Similarity...
Stack Trace...
Semantic Similarity...
Traceback (most recent call last):
File "buglocalizer/main.py", line 22, in <module>
semantic_similarity.main()
File "/home/xu/bug-localization/buglocalizer/semantic_similarity.py", line 50, in main
all_simis = calculate_similarity(src_files, bug_reports)
File "/home/xu/bug-localization/buglocalizer/semantic_similarity.py", line 16, in calculate_similarity
src_docs = [nlp(' '.join(src.file_name['unstemmed'] + src.class_names['unstemmed']
File "/home/xu/bug-localization/buglocalizer/semantic_similarity.py", line 16, in <listcomp>
src_docs = [nlp(' '.join(src.file_name['unstemmed'] + src.class_names['unstemmed']
File "/home/x/.local/lib/python3.8/site-packages/spacy/language.py", line 1019, in __call__
error_handler(name, proc, [doc], e)
File "/home/xu/.local/lib/python3.8/site-packages/spacy/util.py", line 1618, in raise_error
raise e
File "/home/xu/.local/lib/python3.8/site-packages/spacy/language.py", line 1014, in __call__
doc = proc(doc, **component_cfg.get(name, {})) # type: ignore[call-arg]
File "spacy/pipeline/trainable_pipe.pyx", line 56, in spacy.pipeline.trainable_pipe.TrainablePipe.__call__
File "/home/xu/.local/lib/python3.8/site-packages/spacy/util.py", line 1618, in raise_error
raise e
File "spacy/pipeline/trainable_pipe.pyx", line 52, in spacy.pipeline.trainable_pipe.TrainablePipe.__call__
File "/home/xu/.local/lib/python3.8/site-packages/spacy/pipeline/tok2vec.py", line 121, in predict
tokvecs = self.model.predict(docs)
File "/home/xu/.local/lib/python3.8/site-packages/thinc/model.py", line 315, in predict
return self._func(self, X, is_train=False)[0]
File "/home/xu/.local/lib/python3.8/site-packages/thinc/layers/chain.py", line 54, in forward
Y, inc_layer_grad = layer(X, is_train=is_train)
File "/home/xu/.local/lib/python3.8/site-packages/thinc/model.py", line 291, in __call__
return self._func(self, X, is_train=is_train)
File "/home/xu/.local/lib/python3.8/site-packages/thinc/layers/chain.py", line 54, in forward
Y, inc_layer_grad = layer(X, is_train=is_train)
File "/home/xu/.local/lib/python3.8/site-packages/thinc/model.py", line 291, in __call__
return self._func(self, X, is_train=is_train)
File "/home/xu/.local/lib/python3.8/site-packages/thinc/layers/with_array.py", line 30, in forward
return _ragged_forward(
File "/home/xu/.local/lib/python3.8/site-packages/thinc/layers/with_array.py", line 90, in _ragged_forward
Y, get_dX = layer(Xr.dataXd, is_train)
File "/home/xu/.local/lib/python3.8/site-packages/thinc/model.py", line 291, in __call__
return self._func(self, X, is_train=is_train)
File "/home/xu/.local/lib/python3.8/site-packages/thinc/layers/chain.py", line 54, in forward
Y, inc_layer_grad = layer(X, is_train=is_train)
File "/home/xu/.local/lib/python3.8/site-packages/thinc/model.py", line 291, in __call__
return self._func(self, X, is_train=is_train)
File "/home/xu/.local/lib/python3.8/site-packages/thinc/layers/chain.py", line 54, in forward
Y, inc_layer_grad = layer(X, is_train=is_train)
File "/home/xu/.local/lib/python3.8/site-packages/thinc/model.py", line 291, in __call__
return self._func(self, X, is_train=is_train)
File "/home/xu/.local/lib/python3.8/site-packages/thinc/layers/maxout.py", line 49, in forward
Y = model.ops.gemm(X, W, trans2=True)
File "thinc/backends/numpy_ops.pyx", line 93, in thinc.backends.numpy_ops.NumpyOps.gemm
File "blis/py.pyx", line 74, in blis.py.gemm
ValueError: Shape mismatch for blis.gemm: (0, 0), (576, 288)