Skip setting up Senna instances in doctests

These can throw LookupError's if the SENNA env variable is defined, like in the CI. Long story short, it's easiest to skip these, and we won't miss out on test coverage, as Senna should already be tested in test/unit/test_senna.py by the Linux workers

Author: tomaarsen

nltk/classify/senna.py

@@ -30,9 +30,9 @@
 Note: Unit tests for this module can be found in test/unit/test_senna.py
 
 >>> from nltk.classify import Senna
->>> pipeline = Senna('/usr/share/senna-v3.0', ['pos', 'chk', 'ner'])
+>>> pipeline = Senna('/usr/share/senna-v3.0', ['pos', 'chk', 'ner'])  # doctest: +SKIP
 >>> sent = 'Dusseldorf is an international business center'.split()
->>> [(token['word'], token['chk'], token['ner'], token['pos']) for token in pipeline.tag(sent)] # doctest: +SKIP
+>>> [(token['word'], token['chk'], token['ner'], token['pos']) for token in pipeline.tag(sent)]  # doctest: +SKIP
 [('Dusseldorf', 'B-NP', 'B-LOC', 'NNP'), ('is', 'B-VP', 'O', 'VBZ'), ('an', 'B-NP', 'O', 'DT'),
 ('international', 'I-NP', 'O', 'JJ'), ('business', 'I-NP', 'O', 'NN'), ('center', 'I-NP', 'O', 'NN')]
 """

nltk/tag/senna.py

@@ -17,20 +17,20 @@
 Note: Unit tests for this module can be found in test/unit/test_senna.py
 
 >>> from nltk.tag import SennaTagger
->>> tagger = SennaTagger('/usr/share/senna-v3.0')
+>>> tagger = SennaTagger('/usr/share/senna-v3.0')  # doctest: +SKIP
 >>> tagger.tag('What is the airspeed of an unladen swallow ?'.split()) # doctest: +SKIP
 [('What', 'WP'), ('is', 'VBZ'), ('the', 'DT'), ('airspeed', 'NN'),
 ('of', 'IN'), ('an', 'DT'), ('unladen', 'NN'), ('swallow', 'NN'), ('?', '.')]
 
 >>> from nltk.tag import SennaChunkTagger
->>> chktagger = SennaChunkTagger('/usr/share/senna-v3.0')
+>>> chktagger = SennaChunkTagger('/usr/share/senna-v3.0')  # doctest: +SKIP
 >>> chktagger.tag('What is the airspeed of an unladen swallow ?'.split()) # doctest: +SKIP
 [('What', 'B-NP'), ('is', 'B-VP'), ('the', 'B-NP'), ('airspeed', 'I-NP'),
 ('of', 'B-PP'), ('an', 'B-NP'), ('unladen', 'I-NP'), ('swallow', 'I-NP'),
 ('?', 'O')]
 
 >>> from nltk.tag import SennaNERTagger
->>> nertagger = SennaNERTagger('/usr/share/senna-v3.0')
+>>> nertagger = SennaNERTagger('/usr/share/senna-v3.0')  # doctest: +SKIP
 >>> nertagger.tag('Shakespeare theatre was in London .'.split()) # doctest: +SKIP
 [('Shakespeare', 'B-PER'), ('theatre', 'O'), ('was', 'O'), ('in', 'O'),
 ('London', 'B-LOC'), ('.', 'O')]
@@ -80,14 +80,14 @@ def bio_to_chunks(self, tagged_sent, chunk_type):
         Extracts the chunks in a BIO chunk-tagged sentence.
 
         >>> from nltk.tag import SennaChunkTagger
-        >>> chktagger = SennaChunkTagger('/usr/share/senna-v3.0')
+        >>> chktagger = SennaChunkTagger('/usr/share/senna-v3.0')  # doctest: +SKIP
         >>> sent = 'What is the airspeed of an unladen swallow ?'.split()
-        >>> tagged_sent = chktagger.tag(sent) # doctest: +SKIP
-        >>> tagged_sent # doctest: +SKIP
+        >>> tagged_sent = chktagger.tag(sent)  # doctest: +SKIP
+        >>> tagged_sent  # doctest: +SKIP
         [('What', 'B-NP'), ('is', 'B-VP'), ('the', 'B-NP'), ('airspeed', 'I-NP'),
         ('of', 'B-PP'), ('an', 'B-NP'), ('unladen', 'I-NP'), ('swallow', 'I-NP'),
         ('?', 'O')]
-        >>> list(chktagger.bio_to_chunks(tagged_sent, chunk_type='NP')) # doctest: +SKIP
+        >>> list(chktagger.bio_to_chunks(tagged_sent, chunk_type='NP'))  # doctest: +SKIP
         [('What', '0'), ('the airspeed', '2-3'), ('an unladen swallow', '5-6-7')]
 
         :param tagged_sent: A list of tuples of word and BIO chunk tag.