def test_tokenize_clean_punct_false(self):
result = tokenize("A written language is the representation of a language by means of a writing system. Written language is an invention in that it must be taught to children; children will pick up spoken language (oral or sign) by exposure without being specifically taught.", clean_punctuation=False, only_alphanum=False)
expected = ['A', 'written', 'language', 'is', 'the', 'representation', 'of', 'a', 'language', 'by', 'means', 'of', 'a', 'writing', 'system', '.', 'Written', 'language', 'is', 'an', 'invention', 'in', 'that', 'it', 'must', 'be', 'taught', 'to', 'children', ';', 'children', 'will', 'pick', 'up', 'spoken', 'language', '(', 'oral', 'or', 'sign', ')', 'by', 'exposure', 'without', 'being', 'specifically', 'taught', '.']
self.assertEquals(expected, result)
def set_number_of_tokens():
from includes.tokenizer import tokenize
from pymongo import MongoClient
client = MongoClient()
db = client[config.DATABASE_NAME]
for document in db.document.find():
document['number_of_words'] = len(tokenize(document['text']))
db.document.save(document)
def set_number_of_tokens():
from includes.tokenizer import tokenize
from pymongo import MongoClient
client = MongoClient()
db = client[config.DATABASE_NAME]
for document in db.document.find():
document['number_of_words'] = len(tokenize(document['text']))
db.document.save(document)
def test_tokenize_clean_stop_words(self):
result = tokenize(
"A written language is the representation of a language by means of a writing system. Written language is an invention in that it must be taught to children; children will pick up spoken language (oral or sign) by exposure without being specifically taught.",
clean_stop_words=True)
expected = [
'written', 'language', 'representation', 'language', 'means',
'writing', 'system', 'Written', 'language', 'invention', 'must',
'taught', 'children', 'children', 'pick', 'spoken', 'language',
'oral', 'sign', 'exposure', 'without', 'specifically', 'taught'
]
self.assertEquals(expected, result)
def test_moby_dick_window(self):
#just make sure we
window_sizes = xrange(100, 6000, 100)
text = gutenberg.raw('melville-moby_dick.txt')
tokens = tokenize(text, only_alphanum=True, clean_punctuation=True)
total_number_of_tokens = len(tokens)
for window_size in window_sizes:
count = 0
number_of_windows = int(math.ceil( total_number_of_tokens / window_size))
for current_window in range(0, number_of_windows+1):
word_window = Window(tokens, window_size, current_window)
for word in word_window:
count += 1
self.assertEquals(count, total_number_of_tokens)
def test_tokenize_happy_path(self):
result = tokenize(
"A written language is the representation of a language by means of a writing system. Written language is an invention in that it must be taught to children; children will pick up spoken language (oral or sign) by exposure without being specifically taught."
)
expected = [
'written', 'language', 'is', 'the', 'representation', 'of',
'language', 'by', 'means', 'of', 'writing', 'system', 'Written',
'language', 'is', 'an', 'invention', 'in', 'that', 'it', 'must',
'be', 'taught', 'to', 'children', 'children', 'will', 'pick', 'up',
'spoken', 'language', 'oral', 'or', 'sign', 'by', 'exposure',
'without', 'being', 'specifically', 'taught'
]
self.assertEquals(expected, result)
def test_moby_dick_window(self):
#just make sure we
window_sizes = xrange(100, 6000, 100)
text = gutenberg.raw('melville-moby_dick.txt')
tokens = tokenize(text, only_alphanum=True, clean_punctuation=True)
total_number_of_tokens = len(tokens)
for window_size in window_sizes:
count = 0
number_of_windows = int(
math.ceil(total_number_of_tokens / window_size))
for current_window in range(0, number_of_windows + 1):
word_window = Window(tokens, window_size, current_window)
for word in word_window:
count += 1
self.assertEquals(count, total_number_of_tokens)
def test_tokenize_clean_punct_false(self):
result = tokenize(
"A written language is the representation of a language by means of a writing system. Written language is an invention in that it must be taught to children; children will pick up spoken language (oral or sign) by exposure without being specifically taught.",
clean_punctuation=False,
only_alphanum=False)
expected = [
'A', 'written', 'language', 'is', 'the', 'representation', 'of',
'a', 'language', 'by', 'means', 'of', 'a', 'writing', 'system',
'.', 'Written', 'language', 'is', 'an', 'invention', 'in', 'that',
'it', 'must', 'be', 'taught', 'to', 'children', ';', 'children',
'will', 'pick', 'up', 'spoken', 'language', '(', 'oral', 'or',
'sign', ')', 'by', 'exposure', 'without', 'being', 'specifically',
'taught', '.'
]
self.assertEquals(expected, result)
def tokenizer_wrapper(raw_text):
return map(
str.lower,
tokenize(raw_text, only_alphanum=True, clean_punctuation=True))
def test_tokenize_only_alpha(self):
result = tokenize("123 lalala 123 pepepe 4566 sarasaa", only_alpha = True)
expected = ['lalala', 'pepepe', 'sarasaa']
self.assertEquals(expected, result)
def test_tokenize_clean_stop_words(self):
result = tokenize("A written language is the representation of a language by means of a writing system. Written language is an invention in that it must be taught to children; children will pick up spoken language (oral or sign) by exposure without being specifically taught.", clean_stop_words=True)
expected = ['written', 'language', 'representation', 'language', 'means', 'writing', 'system', 'Written', 'language', 'invention', 'must', 'taught', 'children', 'children', 'pick', 'spoken', 'language', 'oral', 'sign', 'exposure', 'without', 'specifically', 'taught']
self.assertEquals(expected, result)
def test_tokenize_happy_path(self):
result = tokenize("A written language is the representation of a language by means of a writing system. Written language is an invention in that it must be taught to children; children will pick up spoken language (oral or sign) by exposure without being specifically taught.")
expected = ['written', 'language', 'is', 'the', 'representation', 'of', 'language', 'by', 'means', 'of', 'writing', 'system', 'Written', 'language', 'is', 'an', 'invention', 'in', 'that', 'it', 'must', 'be', 'taught', 'to', 'children', 'children', 'will', 'pick', 'up', 'spoken', 'language', 'oral', 'or', 'sign', 'by', 'exposure', 'without', 'being', 'specifically', 'taught']
self.assertEquals(expected, result)
def get_moby_dick_tokens():
moby_dick = gutenberg.raw('melville-moby_dick.txt')
tokens = tokenize(moby_dick, only_alphanum=True, clean_punctuation=True)
return [token.lower() for token in tokens]
def test_tokenize_only_alpha(self):
result = tokenize("123 lalala 123 pepepe 4566 sarasaa",
only_alpha=True)
expected = ['lalala', 'pepepe', 'sarasaa']
self.assertEquals(expected, result)
def tokenizer_wrapper(raw_text):
return map(str.lower, map(str, tokenize(raw_text, only_alphanum=True, clean_punctuation=True)))