class WordExtractWithStopwordTestCase(unittest.TestCase):
# Only use setUp() and tearDown() if necessary
def setUp(self):
# stopword list
# Using mmseg to test extract word.
self.we = WeightEngine(segment_function, stopwordList = STOPLIST)
self.we.load_record("Hugerecord_save.dat")
self.text = u"""
你说我在休假期间，大半夜哄完孩子来看代码也不容易。为什么要恶心我呢？
貌似GIT练习的强度不太够了，应该根据大家反馈搞一个新版本出来。不过今天要说的是注释的写法。
大家可以参看这个链接：http://www.kernel.org/pub/linux/kernel/v3.0/ChangeLog-3.3.3
要求带人的同学仔细看看，并且回复邮件说明我们和上面的之间的差距。这些同学有@克毅 @雄飞 @贺贺。
其他人仔细阅读，有心得的回复邮件参与讨论；没有心得的等我回去挨收拾吧。
再强调一遍，GIT是我们研发工作的基础，就好比我们说的话一样，都要说普通话，基础一样才能沟通交流。否则别的都是白扯。"""
self.term = u"基础"
def tearDown(self):
pass
def teststop_words(self):
result1 = self.we.tf_idf_dict(self.text)
show_dict(result1)
result2 = self.we.tf_idf(self.term, self.text)
print self.term, result2
return
def build_dict(segfun, n=50, stopword_list=None, filename = None):
we = WeightEngine(segfun, stopwordList=stopword_list)
we.weight_learning(read_arbitrary_mock(2000000))
if filename:
we.save_record(filename)
return sort_dict(we._dict)[:n]
def AnalysisComparison(text, record, expectList=[], noneList=[]):
funcList = [mmseg_segfun, ICTCLAS_segfun]
we = WeightEngine(mmseg_segfun)
we.load_record(record)
# compareStatus(list_basic)
stop_list = [u"的", u"。", u"，", u"是"] + STOPLIST
result = export_mmseg(we, text, funcList, stop_list, expectList, noneList)
compareStatus(result)
def show_range(MIN, MAX):
colorlist = "bcgkmrwy"
# blue,cyan,green,black,magenta,red,white,yellow
filelist = ["mmseg_save.bak", "ICTCLAS_save.bak", "mmseg_save_with_stopwords.bak", "ICTCLAS_save_with_stopwords.bak"]
# blue, cyan green black
i = 0
for f in filelist:
we = WeightEngine()
we.load_record(f)
x = [item[1] for item in sort_dict(we._dict)[MIN:MAX]]
plt.plot(x, colorlist[i]);
i += 1
plt.show()
return
class WordExtractTestCase2(unittest.TestCase):
# Only use setUp() and tearDown() if necessary
def setUp(self):
# Using mmseg to test extract word.
self.we = WeightEngine(segment_function)
self.we.load_record("Hugerecord_save.dat")
self.text = u"这里要说的是，转义虽然对前端展示的时候带来了好处，但是确带来了数据的不一致性。"
self.term = u"这里"
def tearDown(self):
pass
def test_extract_tags(self):
"""
TODO: HOW TO test this kind of function
"""
result1 = self.we.tf_idf_dict(self.text)
show_dict(result1)
result2 = self.we.tf_idf(self.term, self.text)
print self.term, result2
def test_stop_words_filter(self):
wordlst = [u"aa", u"bb"]
self.assertEqual([stop_words_filter(wordlst, [u"aa"])], [u"bb"])
pass
def test_integrated_tf_idf(self):
"""
tf_list
idf_list
"""
tf_list = [self.we.tf, self.we.log_tf, self.we.a_tf, self.we.b_tf, self.we.L_tf]
df_list = [self.we.n_df, self.we.idf, self.we.prob_idf]
print_format = list()
for tf in tf_list:
for df in df_list:
result = sort_dict(self.we.tf_idf_dict(self.text, tf, df))
head = "%s %s:" % (tf.__name__, df.__name__)
showTable([word[0] for word in result],
[word[1] for word in result], title_name = head)
print_format.append([head] + [word[0] for word in result[:5]])
col_printtable(print_format)
def setUp(self):
# stopword list
# Using mmseg to test extract word.
self.we = WeightEngine(segment_function, stopwordList = STOPLIST)
self.we.load_record("Hugerecord_save.dat")
self.text = u"""
你说我在休假期间，大半夜哄完孩子来看代码也不容易。为什么要恶心我呢？
貌似GIT练习的强度不太够了，应该根据大家反馈搞一个新版本出来。不过今天要说的是注释的写法。
大家可以参看这个链接：http://www.kernel.org/pub/linux/kernel/v3.0/ChangeLog-3.3.3
要求带人的同学仔细看看，并且回复邮件说明我们和上面的之间的差距。这些同学有@克毅 @雄飞 @贺贺。
其他人仔细阅读，有心得的回复邮件参与讨论；没有心得的等我回去挨收拾吧。
再强调一遍，GIT是我们研发工作的基础，就好比我们说的话一样，都要说普通话，基础一样才能沟通交流。否则别的都是白扯。"""
self.term = u"基础"
def setUp(self):
# Using mmseg to test extract word.
self.we = WeightEngine(segment_function)
self.term = u"发财"
self.text = u"发财啊，发财啊，操蛋啊，发财啊，不知道什么情况啊。"
class WordExtractTestCase(unittest.TestCase):
# Only use setUp() and tearDown() if necessary
def setUp(self):
# Using mmseg to test extract word.
self.we = WeightEngine(segment_function)
self.term = u"发财"
self.text = u"发财啊，发财啊，操蛋啊，发财啊，不知道什么情况啊。"
def tearDown(self):
pass
def test_add_record(self):
self.we.load_record("record.dat")
self.we.add_record(u"操蛋", 15)
self.assertEqual(len(self.we._dict), 4)
self.we.add_record(u"操蛋", 15)
self.assertEqual(len(self.we._dict), 4)
self.assertEqual(self.we._dict[u"操蛋"], 30)
self.assertEqual(self.we.N, 15)
def test_load_record(self):
self.we.load_record("record.dat")
self.assertEqual(len(self.we._dict), 3)
self.assertEqual(self.we._dict[u"理想"], 15)
self.assertEqual(self.we._dict[u"文化"], 1)
self.assertEqual(self.we._dict[u"德行"], 12)
self.assertNotIn(u"操蛋", self.we._dict)
self.assertNotIn(u"毛线", self.we._dict)
def test_save_record(self):
self.we.load_record("record.dat")
self.we.save_record("record_save.dat")
# def test_weight_learning(self):
# self.we.weight_learning(read_tiny_mock())
# self.we.show_dict(sort=True)
# self.we.show_dict()
def test_df(self):
self.we.load_record("record.dat")
self.assertEqual(self.we.df(u"转发"), 1)
self.assertEqual(self.we.df(u"理想"), 16)
def test_idf(self):
self.we.load_record("record.dat")
self.assertEqual(self.we.df(u"转发"), 1)
self.assertEqual(self.we.df(u"理想"), 16)
self.we.idf("美丽")
self.we.idf("转发")
self.we.idf("阿拉")
def test_prob_idf(self):
self.we.load_record("record.dat")
self.we.prob_idf("美丽")
self.we.prob_idf("转发")
self.we.prob_idf("阿拉")
def text_word(self):
term = u"发财"
text = u"发财啊，发财啊，操蛋啊，发财啊，不知道什么情况啊。"
self.assertIn(term, self.we.text_word(text))
def test_tf(self):
term = u"发财"
text = u"发财啊，发财啊，操蛋啊，发财啊，不知道什么情况啊。"
self.we.tf(term, self.we.text_word(text))
def test_log_tf(self):
term = u"发财"
text = u"发财啊，发财啊，操蛋啊，发财啊，不知道什么情况啊。"
self.we.log_tf(term, self.we.text_word(text))
def test_a_tf(self):
term = u"发财"
text = u"发财啊，发财啊，操蛋啊，发财啊，不知道什么情况啊。"
self.we.a_tf(term, self.we.text_word(text))
def test_b_tf(self):
term = u"发财"
text = u"发财啊，发财啊，操蛋啊，发财啊，不知道什么情况啊。"
self.we.b_tf(term, self.we.text_word(text))
term = u"dd"
self.we.b_tf(term, self.we.text_word(text))
def test_L_tf(self):
term = u"发财"
text = u"发财啊，发财啊，操蛋啊，发财啊，不知道什么情况啊。"
self.we.L_tf(term, self.we.text_word(text))
term = u"dd"
self.we.L_tf(term, self.we.text_word(text))
def setUp(self):
# Using mmseg to test extract word.
self.we = WeightEngine(segment_function)
self.we.load_record("Hugerecord_save.dat")
self.text = u"这里要说的是，转义虽然对前端展示的时候带来了好处，但是确带来了数据的不一致性。"
self.term = u"这里"
def load_dict_from_save(filename, n=50):
we = WeightEngine(mmseg_segfun)
we.load_record(filename)
return sort_dict(we._dict)[:n]
