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Failed

dariah_topics.postprocessing._show_gensim_doc_topics (from nosetests)

Failing for the past 2 builds (Since #383 )
Took 4 ms.

Error Message

Failed doctest test for dariah_topics.postprocessing._show_gensim_doc_topics
  File "/mnt/data/jenkins/workspace/DARIAH-Topics/dariah_topics/postprocessing.py", line 506, in _show_gensim_doc_topics

----------------------------------------------------------------------
File "/mnt/data/jenkins/workspace/DARIAH-Topics/dariah_topics/postprocessing.py", line 531, in dariah_topics.postprocessing._show_gensim_doc_topics
Failed example:
    doc_topic = visualization.create_doc_topic(corpus, model, doc_labels)
Exception raised:
    Traceback (most recent call last):
      File "/usr/lib/python3.5/doctest.py", line 1321, in __run
        compileflags, 1), test.globs)
      File "<doctest dariah_topics.postprocessing._show_gensim_doc_topics[7]>", line 1, in <module>
        doc_topic = visualization.create_doc_topic(corpus, model, doc_labels)
    NameError: name 'visualization' is not defined
----------------------------------------------------------------------
File "/mnt/data/jenkins/workspace/DARIAH-Topics/dariah_topics/postprocessing.py", line 532, in dariah_topics.postprocessing._show_gensim_doc_topics
Failed example:
    len(doc_topic.T) == 2
Exception raised:
    Traceback (most recent call last):
      File "/usr/lib/python3.5/doctest.py", line 1321, in __run
        compileflags, 1), test.globs)
      File "<doctest dariah_topics.postprocessing._show_gensim_doc_topics[8]>", line 1, in <module>
        len(doc_topic.T) == 2
    NameError: name 'doc_topic' is not defined
----------------------------------------------------------------------
File "/mnt/data/jenkins/workspace/DARIAH-Topics/dariah_topics/postprocessing.py", line 533, in dariah_topics.postprocessing._show_gensim_doc_topics
Failed example:
    True
Expected nothing
Got:
    True

-------------------- >> begin captured logging << --------------------
gensim.corpora.mmcorpus: INFO: storing corpus in Matrix Market format to /tmp/corpus.mm
gensim.matutils: INFO: saving sparse matrix to /tmp/corpus.mm
gensim.matutils: INFO: PROGRESS: saving document #0
gensim.matutils: INFO: saved 2x2 matrix, density=25.000% (1/4)
gensim.matutils: DEBUG: closing /tmp/corpus.mm
gensim.matutils: DEBUG: closing /tmp/corpus.mm
gensim.corpora.indexedcorpus: INFO: saving MmCorpus index to /tmp/corpus.mm.index
gensim.corpora.indexedcorpus: INFO: loaded corpus index from /tmp/corpus.mm.index
gensim.matutils: INFO: initializing corpus reader from /tmp/corpus.mm
gensim.matutils: INFO: accepted corpus with 2 documents, 2 features, 1 non-zero entries
gensim.models.ldamodel: INFO: using symmetric alpha at 1.0
gensim.models.ldamodel: INFO: using symmetric eta at 0.5
gensim.models.ldamodel: INFO: using serial LDA version on this node
gensim.models.ldamodel: INFO: running online (single-pass) LDA training, 1 topics, 1 passes over the supplied corpus of 2 documents, updating model once every 2 documents, evaluating perplexity every 2 documents, iterating 50x with a convergence threshold of 0.001000
gensim.models.ldamodel: WARNING: too few updates, training might not converge; consider increasing the number of passes or iterations to improve accuracy
gensim.models.ldamodel: DEBUG: bound: at document #0
gensim.models.ldamodel: INFO: -1.151 per-word bound, 2.2 perplexity estimate based on a held-out corpus of 2 documents with 0 words
gensim.models.ldamodel: INFO: PROGRESS: pass 0, at document #2/2
gensim.models.ldamodel: DEBUG: performing inference on a chunk of 2 documents
gensim.models.ldamodel: DEBUG: 2/2 documents converged within 50 iterations
gensim.models.ldamodel: DEBUG: updating topics
gensim.models.ldamodel: INFO: topic #0 (1.000): 0.600*"corpus" + 0.400*"test"
gensim.models.ldamodel: INFO: topic diff=0.455046, rho=1.000000
--------------------- >> end captured logging << ---------------------

Stacktrace

  File "/usr/lib/python3.5/unittest/case.py", line 59, in testPartExecutor
    yield
  File "/usr/lib/python3.5/unittest/case.py", line 601, in run
    testMethod()
  File "/usr/lib/python3.5/doctest.py", line 2190, in runTest
    raise self.failureException(self.format_failure(new.getvalue()))
Failed doctest test for dariah_topics.postprocessing._show_gensim_doc_topics
  File "/mnt/data/jenkins/workspace/DARIAH-Topics/dariah_topics/postprocessing.py", line 506, in _show_gensim_doc_topics

----------------------------------------------------------------------
File "/mnt/data/jenkins/workspace/DARIAH-Topics/dariah_topics/postprocessing.py", line 531, in dariah_topics.postprocessing._show_gensim_doc_topics
Failed example:
    doc_topic = visualization.create_doc_topic(corpus, model, doc_labels)
Exception raised:
    Traceback (most recent call last):
      File "/usr/lib/python3.5/doctest.py", line 1321, in __run
        compileflags, 1), test.globs)
      File "<doctest dariah_topics.postprocessing._show_gensim_doc_topics[7]>", line 1, in <module>
        doc_topic = visualization.create_doc_topic(corpus, model, doc_labels)
    NameError: name 'visualization' is not defined
----------------------------------------------------------------------
File "/mnt/data/jenkins/workspace/DARIAH-Topics/dariah_topics/postprocessing.py", line 532, in dariah_topics.postprocessing._show_gensim_doc_topics
Failed example:
    len(doc_topic.T) == 2
Exception raised:
    Traceback (most recent call last):
      File "/usr/lib/python3.5/doctest.py", line 1321, in __run
        compileflags, 1), test.globs)
      File "<doctest dariah_topics.postprocessing._show_gensim_doc_topics[8]>", line 1, in <module>
        len(doc_topic.T) == 2
    NameError: name 'doc_topic' is not defined
----------------------------------------------------------------------
File "/mnt/data/jenkins/workspace/DARIAH-Topics/dariah_topics/postprocessing.py", line 533, in dariah_topics.postprocessing._show_gensim_doc_topics
Failed example:
    True
Expected nothing
Got:
    True

-------------------- >> begin captured logging << --------------------
gensim.corpora.mmcorpus: INFO: storing corpus in Matrix Market format to /tmp/corpus.mm
gensim.matutils: INFO: saving sparse matrix to /tmp/corpus.mm
gensim.matutils: INFO: PROGRESS: saving document #0
gensim.matutils: INFO: saved 2x2 matrix, density=25.000% (1/4)
gensim.matutils: DEBUG: closing /tmp/corpus.mm
gensim.matutils: DEBUG: closing /tmp/corpus.mm
gensim.corpora.indexedcorpus: INFO: saving MmCorpus index to /tmp/corpus.mm.index
gensim.corpora.indexedcorpus: INFO: loaded corpus index from /tmp/corpus.mm.index
gensim.matutils: INFO: initializing corpus reader from /tmp/corpus.mm
gensim.matutils: INFO: accepted corpus with 2 documents, 2 features, 1 non-zero entries
gensim.models.ldamodel: INFO: using symmetric alpha at 1.0
gensim.models.ldamodel: INFO: using symmetric eta at 0.5
gensim.models.ldamodel: INFO: using serial LDA version on this node
gensim.models.ldamodel: INFO: running online (single-pass) LDA training, 1 topics, 1 passes over the supplied corpus of 2 documents, updating model once every 2 documents, evaluating perplexity every 2 documents, iterating 50x with a convergence threshold of 0.001000
gensim.models.ldamodel: WARNING: too few updates, training might not converge; consider increasing the number of passes or iterations to improve accuracy
gensim.models.ldamodel: DEBUG: bound: at document #0
gensim.models.ldamodel: INFO: -1.151 per-word bound, 2.2 perplexity estimate based on a held-out corpus of 2 documents with 0 words
gensim.models.ldamodel: INFO: PROGRESS: pass 0, at document #2/2
gensim.models.ldamodel: DEBUG: performing inference on a chunk of 2 documents
gensim.models.ldamodel: DEBUG: 2/2 documents converged within 50 iterations
gensim.models.ldamodel: DEBUG: updating topics
gensim.models.ldamodel: INFO: topic #0 (1.000): 0.600*"corpus" + 0.400*"test"
gensim.models.ldamodel: INFO: topic diff=0.455046, rho=1.000000
--------------------- >> end captured logging << ---------------------