def test_overrides(self):
b = tb.Blobber(tokenizer=SentenceTokenizer(),
np_extractor=ConllExtractor())
blob = b("How now? Brown cow?")
assert_true(isinstance(blob.tokenizer, SentenceTokenizer))
assert_equal(blob.tokens, tb.WordList(["How now?", "Brown cow?"]))
blob2 = b("Another blob")
# blobs have the same tokenizer
assert_true(blob.tokenizer is blob2.tokenizer)
# but aren't the same object
assert_not_equal(blob, blob2)
def test_overrider_classifier(self):
b = tb.Blobber(classifier=classifier)
blob = b("I am so amazing")
assert_equal(blob.classify(), 'pos')
def test_override_analyzer(self):
b = tb.Blobber(analyzer=NaiveBayesAnalyzer())
blob = b("How now?")
blob2 = b("Brown cow")
assert_true(isinstance(blob.analyzer, NaiveBayesAnalyzer))
assert_true(blob.analyzer is blob2.analyzer)
def setUp(self):
self.blobber = tb.Blobber() # The default blobber
