joblib.my_exceptions.JoblibTypeError: JoblibTypeError

[SeekPoint]

mldl@ub1604:~/ub16_prj/diff2vec$ python src/diffusion_2_vec.py
lapack_opt_info:
libraries = ['openblas']
library_dirs = ['/usr/local/lib']
language = f77
blas_opt_info:
libraries = ['openblas']
library_dirs = ['/usr/local/lib']
language = f77
openblas_info:
libraries = ['openblas']
library_dirs = ['/usr/local/lib']
language = f77
openblas_lapack_info:
libraries = ['openblas']
library_dirs = ['/usr/local/lib']
language = f77
blas_mkl_info:
NOT AVAILABLE

---

Feature extraction starts.

0%| | 0/10 [00:00<?, ?it/s]Traceback (most recent call last):
File "src/diffusion_2_vec.py", line 60, in
main(args)
File "src/diffusion_2_vec.py", line 54, in main
walks = run_parallel_feature_creation(args.input, args.vertex_set_cardinality, args.num_diffusions, args.workers)
File "src/diffusion_2_vec.py", line 35, in run_parallel_feature_creation
results = Parallel(n_jobs = num_of_workers)(delayed(create_features)(i, edge_list_path, vertex_set_cardinality) for i in tqdm(range(number_of_replicates)))
File "/usr/local/lib/python2.7/dist-packages/joblib/parallel.py", line 789, in call
self.retrieve()
File "/usr/local/lib/python2.7/dist-packages/joblib/parallel.py", line 740, in retrieve
raise exception
joblib.my_exceptions.JoblibTypeError: JoblibTypeError

[benedekrozemberczki]

Are your package versions in line with the package versions listed?

[SeekPoint]

yes, pretty sure

[SeekPoint]

mldl@ub1604:~/ub16_prj/diff2vec$ git diff
diff --git a/src/diffusiontrees.py b/src/diffusiontrees.py
index 7eab72a..1be6b83 100644
--- a/src/diffusiontrees.py
+++ b/src/diffusiontrees.py
@@ -36,9 +36,9 @@ class EulerianDiffuser:
sub_graph.add_edges_from([(end_point, sample), (sample, end_point)])
if infected_counter == self.number_of_nodes:
break

•    euler = [str(u) for u,v in nx.eulerian_circuit(sub_graph, start_node)]
  

•    euler = [str(u) for u,v in nx.eulerian_circuit(sub_graph, node)]
     if len(euler) == 0:
  

•        euler = [str(u) for u,v in nx.eulerian_circuit(graph, start_node)]
  

•        euler = [str(u) for u,v in nx.eulerian_circuit(graph, node)]
     return euler
  

  def run_diffusions(self):
  mldl@ub1604:~/ub16_prj/diff2vec$