def test_compulsive_hedgers(self):
sentences = [
{
'line': 'Big or small, Panda is apparently adorable.',
'words': 1
},
{
'line': 'I almost love winter and summer.',
'words': 1
},
{
'line': 'Partially true, or nearly true; rather I would say almost.',
'words': 4
},
{
'line': 'He said, "And I wish I was predominantly correct in proposing my theory."',
'words': 1
},
{
'line': 'Thank you for seemingly great gesture!',
'words': 1
}
]
for data in sentences:
sentence = analyzer.Sentence(data['line'])
self.assertEqual(data['words'], len(list(sentence.get_compulsive_hedgers())), data['line'])
def test_word_count(self):
sentences = [
{
'line': 'Big or small, Panda is adorable.',
'words': 6
},
{
'line': 'I love winter.',
'words': 3
},
{
'line': 'Do you like great books?',
'words': 5
},
{
'line': 'He said, "I wish I was there."',
'words': 7
},
{
'line': 'Thank you!',
'words': 2
}
]
for data in sentences:
sentence_obj = analyzer.Sentence(data['line'])
self.assertEqual(data['words'], len(sentence_obj))
def test_adjective(self):
sentences = [
{
'line': 'Big or small, Panda is adorable.',
'words': 0
},
{
'line': 'I love winter and summer.',
'words': 1
},
{
'line': 'Do you like great and old books? And new ones?',
'words': 2
},
{
'line': 'He said, "And I wish I was there. And had money"',
'words': 2
},
{
'line': 'Thank you and I look forward to hearing from you!',
'words': 1
}
]
for data in sentences:
sentence_obj = analyzer.Sentence(data['line'])
self.assertEqual(data['words'], sentence_obj.total_and_words)
def test_abstract_nouns(self):
sentences = [{
'line': 'In this context, I would prefer chocolate.',
'words': 1
}, {
'line':
'There are many useful frameworks available in Python world.',
'words': 1
}, {
'line': 'This approach looks good to me.',
'words': 1
}, {
'line':
'My assumption could be wrong, but this framework and strategy does not solve our problem.',
'words': 3
}, {
'line':
'Tendency to get fat is dangerous, this condition can lead to a non-desirable condition.',
'words': 3
}, {
'line': 'What are the variables in this equation?',
'words': 1
}, {
'line': 'My role is not clear.',
'words': 1
}]
for data in sentences:
sentences = analyzer.Sentence(data['line'])
self.assertEqual(data['words'],
len(list(sentences.get_vague_words())),
data['line'])
def test_ands(self):
sentences = [{
'line': 'I have eating lot of food and chocolate.',
'words': 1
}, {
'line':
'I completed reading this book, and that book and that one too.',
'words': 2
}, {
'line': 'And this is the end.',
'words': 1
}]
for data in sentences:
sentences = analyzer.Sentence(data['line'])
self.assertEqual(data['words'], sentences.total_and_words,
data['line'])
def test_intensifiers(self):
sentences = [
{
'line': 'Big or small, Panda is extremely adorable.',
'words': 1
},
{
'line': 'I highly recommend this book.',
'words': 1
},
{
'line': 'He is very highly recommended',
'words': 2
},
]
for data in sentences:
sentences = analyzer.Sentence(data['line'])
self.assertEqual(data['words'], len(list(sentences.get_intensifiers())), data['line'])