def init__after(self, record):
# 会把全角都转换为半角
self.item_content = UnicodeUtils.stringQ2B(self.item_content)
# common extract data part
info1 = StringUtils.frequence_chars_info(self.item_content, lambda len1 : len1 * 0.75)
self.uniq_chars__len = info1['uniq_chars__len']
self.sorted_freq_chars = info1['sorted_freq_chars']
self.sqrt_chars__len = int(round(math.sqrt(len(self.item_content))))
def init__after(self, record):
# 会把全角都转换为半角
self.item_content = UnicodeUtils.stringQ2B(self.item_content)
# common extract data part
info1 = StringUtils.frequence_chars_info(self.item_content,
lambda len1: len1 * 0.75)
self.uniq_chars__len = info1['uniq_chars__len']
self.sorted_freq_chars = info1['sorted_freq_chars']
self.sqrt_chars__len = int(round(math.sqrt(len(self.item_content))))
def import_from_file(file1):
# NOTE import_from_file 暂不支持depth
for line in UnicodeUtils.read(file1).strip().split(line_split):
line = line.strip()
if TMCTree.root_node not in self:
self[TMCTree.root_node] = dict()
current_dict = self[TMCTree.root_node]
parent_node = TMCTree.root_node
for current_node in line.split(item_split):
current_node = Node({"name": current_node})
self.name_to_nodes[current_node.name].add(current_node)
if current_node not in current_dict:
current_dict[current_node] = dict()
self.child_name_to_parent_relation_dict[current_node.name].add(parent_node)
current_dict = current_dict[current_node]
parent_node = current_node
def import_from_file(file1):
# NOTE import_from_file 暂不支持depth
for line in UnicodeUtils.read(file1).strip().split(line_split):
line = line.strip()
if TMCTree.root_node not in self:
self[TMCTree.root_node] = dict()
current_dict = self[TMCTree.root_node]
parent_node = TMCTree.root_node
for current_node in line.split(item_split):
current_node = Node({"name": current_node})
self.name_to_nodes[current_node.name].add(current_node)
if current_node not in current_dict:
current_dict[current_node] = dict()
self.child_name_to_parent_relation_dict[
current_node.name].add(parent_node)
current_dict = current_dict[current_node]
parent_node = current_node
def __init__(self, source):
if "\n" not in source:
source = UnicodeUtils.read(source) # 有换行 表示已经读进来了
self.result = dict()
current_kp = current_features = None
for num, line in enumerate(source.split("\n")):
line = line.strip()
line = re.sub("'", "\"", line)
line = re.sub("u\"", "\"", line)
try:
current_kp, current_features = self.parse(line, current_kp, current_features)
except:
print "[num]", num + 1, "[line]", line
raise Exception("parse error ...")
if current_kp and current_features:
self.result[current_kp] = current_features
def load_data_from_input(self, input1):
""" return data is a dict. """
def wrap(data):
avg = sum(data.values()) / float(len(data))
return defaultdict(lambda: avg, data)
if isinstance(input1, dict):
return wrap(input1)
if not os.path.exists(input1):
return defaultdict(float)
content = UnicodeUtils.read(input1).strip()
try:
data = json.loads(content)
except:
data = dict()
for line in content.split("\n"):
result = line.split(',')
data[result[0]] = float(result[1].strip())
return wrap(data)
def load_data_from_input(self, input1):
""" return data is a dict. """
def wrap(data):
avg = sum(data.values()) / float(len(data))
return defaultdict(lambda: avg, data)
if isinstance(input1, dict):
return wrap(input1)
if not os.path.exists(input1):
return defaultdict(float)
content = UnicodeUtils.read(input1).strip()
try:
data = json.loads(content)
except:
data = dict()
for line in content.split("\n"):
result = line.split(',')
data[result[0]] = float(result[1].strip())
return wrap(data)
def inspect(self):
for k1, c1 in self:
print UnicodeUtils.rjust(k1, self.max_strlen), ":", c1, "\n"
def inspect(self):
for k1, c1 in self:
print UnicodeUtils.rjust(k1, self.max_strlen), ":", c1, "\n"
def stop_words_set(self):
return set([w1.strip() for file1 in self.classify.stop_words_files
for w1 in UnicodeUtils.read(file1).split("\n")])
def stop_words_set(self):
return set([
w1.strip() for file1 in self.classify.stop_words_files
for w1 in UnicodeUtils.read(file1).split("\n")
])