def merge_file(filename):
data = Data(filename)
output = data.get('OUTPUT')
collections = data.collections()
merge = Merge(collections)
generator = merge.generator()
return (generator, output)
def main():
url="http://www.occ.gov/topics/licensing/interpretations-and-actions/index-interpretations-and-actions.html"
r1=Range98_96(url)
r2=Range04_99(url)
r3=Range05_10(url)
r4=Range11_12(url)
m=Merge()
print " WEB SCRAPING "
print " ============================= "
print "Fetching the url for range 1996-1998:"
r1.fetchurl98_96()
print "Fetching the url for range 1999-2004:"
r2.fetchurl04_99()
print "Fetching the url for range 2005-2010:"
r3.fetchurl05_10()
print "Fetching the url for range 2011-2012:"
r4.fetchurl11_12()
print "Fetching data from 1996-1998"
r1.fetchdata98_96()
print "Fetching data from 1999-2004"
r2.fetchdata04_99()
print "Fetching data from 2005-2010"
r3.fetchdata05_10()
print "Fetching data from 2011-2012"
r4.fetchdata11_12()
print "Merging all the csv files"
m.call()
print "Check the ouput CSV File (The Required Database) "
print " *************************************** "
def task_merge_doubanvideo():
m = Merge()
while True:
task = rd.spop("task_merge_doubanvideo")
if task:
m.merge_doubanvideo(query={"_id": ObjectId(task)})
else:
break
def task_merge_youku_videos():
m = Merge()
while True:
task = rd.spop("task_merge_youku_videos")
if task:
m.merge_youku_videos(query={"_id": ObjectId(task)})
else:
break
def task_merge_letvstar():
m = Merge()
while True:
task = rd.spop("task_merge_letvstar")
if task:
m.merge_letvstar(query={"_id": ObjectId(task)})
else:
break
def test_range(self):
cnt = 5
lists = [iter(xrange(sys.maxint)) for _ in range(cnt)]
merge = Merge(lists)
generator = merge.generator()
for value in range(10):
for _ in range(cnt):
assert next(generator) == value
def test_infinity(self):
def infinity(value):
while True:
yield value
merge = Merge((infinity(1), infinity(2)))
generator = merge.generator()
assert next(generator) == 1
def verify_fileds(self):
# this funtion will check to
# see if the fields or check
# or not if not raise an erro message
invisbale_button = self.invisbale_button.get()
merge_button = self.merge_button.get()
icon_button = self.icon_button.get()
filename = self.entry_var.get()
icon = self.icon.get()
if filename.endswith(('.py','.pyw')):
if invisbale_button == True and merge_button == True and icon_button == True:
if icon.endswith('.ico'):
# Calling the ain1 class
a1 = Ain1(self.master,filename,icon)
a1.merge()
else:
messagebox.showerror(parent=self.master,title='Icon Error',message="Icon file should end with a (.ico) extension")
elif invisbale_button == 1 and merge_button == 1:
# callign the inmerge class
inmerge = Inmerge(self.master,filename)
inmerge.merge()
elif invisbale_button == True and icon_button == True:
if icon.endswith('.ico'):
#calling the inicon class
inicon = Inicon(self.master,filename,icon)
inicon.merge()
else:
messagebox.showerror(parent=self.master,title='Icon Error',message="Icon file should end with a (.ico) extension")
elif merge_button == True and icon_button == True:
if icon.endswith('.ico'):
#calling the mergeicon class
mergeicon = MergeIcon(self.master,filename,icon)
mergeicon.merge()
else:
messagebox.showerror(parent=self.master,title='Icon Error',message="Icon file should end with a (.ico) extension")
elif invisbale_button == True:
#calling the hidden class
hidden = Hidden(self.master,filename)
hidden.merge()
elif merge_button == True:
#calling the merge class
merge = Merge(self.master,filename)
merge.merge()
elif icon_button == True:
messagebox.showerror(parent=self.master,title='Icon Error',message="Icon cannot be merged alone")
else:
messagebox.showerror(parent=self.master,title='Invalid Error',message="Please atleast select merge")
else:
messagebox.showerror(parent=self.master,title='Filename Error',message="File shoud end with a (.py or .pyw) extention.")
def selBtnEvent(self):
for widget in self.workFrm.winfo_children():
widget.destroy()
if self.selV.get() == 1:
Merge(self)
if self.selV.get() == 2:
Split(self)
if self.selV.get() == 3:
Insert(self)
if self.selV.get() == 4:
Delete(self)
def create_objects(self, test_directory):
"""Traverses the XML structure and creates test objects
Arguments:
test_directory - The test directory.
"""
for element in self.root:
if element.tag == 'maker':
self.tests.append(Maker(element, test_directory))
if element.tag == 'merge':
self.tests.append(Merge(element, test_directory))
def Experiment():
l = 2**9
M= 200
N = l*M
i=1
#M = 3 * 2**24
print "Experiment, l: " + str(l) + ' M: ' + str(M)
origin = Sfile('origin')
inputs = Sfile('inputs')
outputs= Sfile('outputs')
origin.delete()
inputs.delete()
outputs.delete()
origin.reopen()
inputs.reopen()
outputs.reopen()
writeRandomNumbers(origin,N)
origin.reopen()
init_time = time()
Ms = Merge(l,M,origin,inputs,outputs)
Ms.mergesort_k(i)
end_time = time()
print 'time: ' + str(end_time - init_time) + ' [sg]'
#outputs.close()
#outputs.reopen()
#outputs.seek(0,0)
#values = outputs.reads(N)
#sortTest(values)
#print str(len(values)) + ' result: ' + str(values)
origin.close()
inputs.close()
outputs.close()
def launch(baseType='mecanum', debug=True, record=True, openViewer=False, openROS=False):
global __isLaunched
if not __isLaunched:
global base, merge, dash, feed, flow, remote, spy
base = Mecanum() if baseType == 'mecanum' else Omni()
merge = Merge()
dash = Dash(base, merge)
feed = Feed(dash)
flow = Flow(dash, debug=debug)
remote = Remote(dash, flow)
spy = Spy(dash)
__isLaunched = True
base.enable()
if record:
spy.begin()
if openViewer:
from viewer import Viewer
global viewer
viewer = Viewer(dash)
if openROS:
from ros import Ros
global ros
ros = Ros(dash)
def task_groupLanguageAndProducer_country():
m = Merge()
m.groupLanguageAndProducer_country(query={})
def task_rm_unknown():
m = Merge()
m.rm_unknown(query={})
def task_clean_category():
m = Merge()
m.clean_category(query={})
# from scrapy.cmdline import execute
# from os import system
import subprocess
from merge import Merge
name = '22tu'
if __name__ == '__main__':
# cmd = f'scrapy crawl {name}'
# execute(cmd.split(' '))
for episode in range(30, 31):
SOAP_ID = '28230'
EPISODE = episode
SOAP_NAME = 'doutinghao'
print(f"正在下载的片名是：{SOAP_NAME}\n剧集是：{EPISODE}")
child_crawl = subprocess.call(f"scrapy crawl {name} \
-a SOAP_ID={SOAP_ID} -a EPISODE={EPISODE} -a SOAP_NAME={SOAP_NAME}")
# child_crawl.wait()
print(f'正在合成ts文件')
merge = Merge(SOAP_NAME=SOAP_NAME, EPISODE=EPISODE)
merge.main()
print(f"{SOAP_NAME}_{EPISODE}下载完毕")
def task_categories():
m = Merge()
m.groupCategories(query={})
def test_numbers(self):
lists = ((1, 2), (2, 3, 5), (3, 4))
lists = [iter(l) for l in lists]
merge = Merge(lists)
generator = merge.generator()
assert list(generator) == [1, 2, 2, 3, 3, 4, 5]
output_filename = 'output.docx'
output_filepath = os.path.join(os.getcwd(), output_filename)
tmp_dir1 = os.path.join(os.getcwd(), 'tmp\\split')
tmp_dir2 = os.path.join(os.getcwd(), 'tmp\\split-processed')
from misc import mkdir
if __name__ == "__main__":
#
extract = Extract(input_filepath)
extract.process() #output_filepath=extract_filepath)
db['project_info'].set_db(extract.extract_project_infos())
#
mkdir(tmp_dir1)
split = Split(input_filepath=extract_filepath)
sections = split.process()
#
db['finance'].filtering(need_years=3)
db['human'].select_people(name_list=['总经理姓名', '联系人姓名', '项目经理人姓名'])
db['projects_done'].filtering(project_types=['水利'], need_years=3)
db['projects_being'].filtering(project_types=['水利'])
#
mkdir(tmp_dir2)
for section in sections:
fillin = FillIn(os.path.join(tmp_dir1, section + '.docx'))
fillin.process(os.path.join(tmp_dir2, section + '.docx'))
#
merge = Merge(tmpdir=tmp_dir2, section_names=sections)
merge.process(output_filepath)
#
class Extract:
def __init__(self, jieba=False):
import re
self.de = re.compile(u"[\u4e00-\u9fa5]")
self.jieba = jieba
self.relation = {
u'fuqin': ('PERSON', 'PERSON'),
u'erzi': ('PERSON', 'PERSON'),
u'nver': ('PERSON', 'PERSON'),
u'nvyou': ('PERSON', 'PERSON'),
u'nanyou': ('PERSON', 'PERSON'),
u'muqin': ('PERSON', 'PERSON'),
u'emma': ('PERSON', 'PERSON'),
u'zhangfu': ('PERSON', 'PERSON'),
u'qizi': ('PERSON', 'PERSON'),
u'\u5973\u53cb': ('PERSON', 'PERSON'),
u'\u5973\u513f': ('PERSON', 'PERSON'),
u'\u59bb\u5b50': ('PERSON', 'PERSON'),
u'\u4e08\u592b': ('PERSON', 'PERSON'),
u'\u524d\u592b': ('PERSON', 'PERSON'),
u'\u7236\u4eb2': ('PERSON', 'PERSON'),
u'\u8eab\u9ad8': ('PERSON', 'HEIGHT'),
u'\u751f\u65e5': ('PERSON', 'DATE'),
u'\u64ad\u51fa\u65f6\u95f4': ('FILM', 'TIME'),
u'\u4e3b\u9898\u66f2': ('FILM', 'MUSIC')
}
self.pos_tagger = {
'a': 0,
'ad': 1,
'ag': 2,
'an': 3,
'b': 4,
'bg': 5,
'c': 6,
'd': 7,
'df': 8,
'dg': 9,
'e': 10,
'en': 11,
'f': 12,
'g': 13,
'h': 14,
'i': 15,
'in': 16,
'j': 17,
'jn': 18,
'k': 19,
'l': 20,
'ln': 21,
'm': 22,
'mg': 23,
'mq': 24,
'n': 25,
'ng': 26,
'nr': 27,
'nrfg': 28,
'nrt': 29,
'ns': 30,
'nt': 31,
'nz': 32,
'o': 33,
'p': 34,
'q': 35,
'qe': 36,
'qg': 37,
'r': 38,
'rg': 39,
'rr': 40,
'rz': 41,
's': 42,
't': 43,
'tg': 44,
'u': 45,
'ud': 46,
'ug': 47,
'uj': 48,
'ul': 49,
'uv': 50,
'uz': 51,
'v': 52,
'vd': 53,
'vg': 54,
'vi': 55,
'vn': 56,
'vq': 57,
'w': 58,
'x': 59,
'y': 60,
'yg': 61,
'z': 62,
'zg': 63,
'a': 64,
'ad': 65,
'ag': 66,
'an': 67,
'b': 68,
'bg': 69,
'c': 70,
'd': 71,
'df': 72,
'dg': 73,
'e': 74,
'en': 75,
'f': 76,
'g': 77,
'h': 78,
'i': 79,
'in': 80,
'j': 81,
'jn': 82,
'k': 83,
'l': 84,
'ln': 85,
'm': 86,
'mg': 87,
'mq': 88,
'n': 89,
'ng': 90,
'nr': 91,
'nrfg': 92,
'nrt': 93,
'ns': 94,
'nt': 95,
'nz': 96,
'o': 97,
'p': 98,
'q': 99,
'qe': 100,
'qg': 101,
'r': 102,
'rg': 103,
'rr': 104,
'rz': 105,
's': 106,
't': 107,
'tg': 108,
'u': 109,
'ud': 110,
'ug': 111,
'uj': 112,
'ul': 113,
'uv': 114,
'uz': 115,
'v': 116,
'vd': 117,
'vg': 118,
'vi': 119,
'vn': 120,
'vq': 121,
'w': 122,
'x': 123,
'y': 124,
'yg': 125,
'z': 126,
'zg': 127,
'a': 128,
'ad': 129,
'ag': 130,
'an': 131,
'b': 132,
'bg': 133,
'c': 134,
'd': 135,
'df': 136,
'dg': 137,
'e': 138,
'en': 139,
'f': 140,
'g': 141,
'h': 142,
'i': 143,
'in': 144,
'j': 145,
'jn': 146,
'k': 147,
'l': 148,
'ln': 149,
'm': 150,
'mg': 151,
'mq': 152,
'n': 153,
'ng': 154,
'nr': 155,
'nrfg': 156,
'nrt': 157,
'ns': 158,
'nt': 159,
'nz': 160,
'o': 161,
'p': 162,
'q': 163,
'qe': 164,
'qg': 165,
'r': 166,
'rg': 167,
'rr': 168,
'rz': 169,
's': 170,
't': 171,
'tg': 172,
'u': 173,
'ud': 174,
'ug': 175,
'uj': 176,
'ul': 177,
'uv': 178,
'uz': 179,
'v': 180,
'vd': 181,
'vg': 182,
'vi': 183,
'vn': 184,
'vq': 185,
'w': 186,
'x': 187,
'y': 188,
'yg': 189,
'z': 190,
'zg': 191,
'a': 192,
'ad': 193,
'ag': 194,
'an': 195,
'b': 196,
'bg': 197,
'c': 198,
'd': 199,
'df': 200,
'dg': 201,
'e': 202,
'en': 203,
'f': 204,
'g': 205,
'h': 206,
'i': 207,
'in': 208,
'j': 209,
'jn': 210,
'k': 211,
'l': 212,
'ln': 213,
'm': 214,
'mg': 215,
'mq': 216,
'n': 217,
'ng': 218,
'nr': 219,
'nrfg': 220,
'nrt': 221,
'ns': 222,
'nt': 223,
'nz': 224,
'o': 225,
'p': 226,
'q': 227,
'qe': 228,
'qg': 229,
'r': 230,
'rg': 231,
'rr': 232,
'rz': 233,
's': 234,
't': 235,
'tg': 236,
'u': 237,
'ud': 238,
'ug': 239,
'uj': 240,
'ul': 241,
'uv': 242,
'uz': 243,
'v': 244,
'vd': 245,
'vg': 246,
'vi': 247,
'vn': 248,
'vq': 249,
'w': 250,
'x': 251,
'y': 252,
'yg': 253,
'z': 254,
'zg': 255,
'eng': 256
}
self.m = Merge(True, False)
#self.m = Merge(True,True)
pass
#get the ner using merge and search the relation's Ner
def _process_data(self, lines, newwords, n2, tags=None):
s = []
p = []
_seg = []
_ner = []
self.m.add_new_words(newwords)
if n2 is not None:
self.m.add_new_words(n2)
for i in xrange(len(lines)):
line = lines[i]
(line_seg, line_pos, line_ner) = self.m.ner_using_nlpc(line)
#(line_ner,line_pos,line_seg,line_dep) = self.m.get_line_info(line,False)
if tags is not None:
tag = tags[i]
k = line_ner.count((self.relation[tag.decode('utf-8')])[1])
if k == 0:
continue
elif k == 1:
if (self.relation[tag.decode('utf-8')])[1] == (
self.relation[tag.decode('utf-8')])[1]:
continue
else:
return
seg = line_seg.split('\t')
pos = line_pos.split('\t')
ner = line_ner.split('\t')
s.append(newwords[i][0].decode('utf-8'))
p.append(tag)
_seg.append(seg)
_ner.append(ner)
return (s, p, _seg, _ner)
def statistics(self, newwords, tags, segs, ners):
s = []
p = []
answer = []
fromline = []
for i in xrange(len(tags)):
tag = tags[i]
seg = segs[i]
ner = ners[i]
_a = []
print ' '.join(seg).encode('utf-8')
for id in xrange(len(seg)):
if tags is not None:
if ner[id] == (self.relation[tag.decode('utf-8')])[1]:
ll = len(self.de.findall(seg[id]))
if ll == 0:
ll = len(seg[id])
if (seg[id] !=
newwords[i]) and (seg[id] not in _a) and (
ll > 1) and seg[id].isdigit() == False:
print newwords[i].encode(
'utf-8') + ',' + tag.encode(
'utf-8') + ',' + seg[id].encode('utf-8')
_a.append(seg[id])
answer.append(seg[id])
s.append(newwords[i])
fromline.append(''.join(seg))
p.append(tag)
dict = collections.OrderedDict()
for i in xrange(len(s)):
s[i] = s[i].decode('utf-8')
spo = s[i] + p[i] + answer[i]
if spo in dict:
dict[spo][2] += 1
else:
dict[spo] = []
dict[spo].append(s[i] + '\t' + p[i])
dict[spo].append(answer[i])
dict[spo].append(1)
dict[spo].append(fromline[i])
#result = {'sp':[[answer,count,line]]}
result = collections.OrderedDict()
for (k, v) in dict.items():
sp = v[0]
if sp in result:
if v[2] > result[sp][0][1]:
result[sp] = []
ddd = []
ddd.append(v[1])
ddd.append(v[2])
ddd.append(v[3])
result[sp].append(ddd)
elif v[2] == result[sp][0][1]:
ddd = []
ddd.append(v[1])
ddd.append(v[2])
ddd.append(v[3])
result[sp].append(ddd)
else:
result[sp] = []
ddd = []
ddd.append(v[1])
ddd.append(v[2])
ddd.append(v[3])
result[sp].append(ddd)
list = []
for (k, v) in result.items():
for i in xrange(len(v)):
value = v[i]
if value[1] == 1:
list.append(k + '\t' + value[0] + '\t' + 'not sure' +
'\t' + value[2])
else:
list.append(k + '\t' + value[0] + '\t' + str(value[1]) +
'\t' + value[2])
return list
def test3(self):
lines = []
tags = []
newwords = []
newwords2 = []
for line in sys.stdin:
try:
line = line.split('\t')
if len(line) < 5:
print 'read wrong:' + '\t'.join(line)
continue
tags.append(line[1])
newwords.append(
(line[0], (self.relation[line[1].decode('utf-8')])[0]))
newwords2.append(
(line[2], (self.relation[line[1].decode('utf-8')])[0]))
if line[4].strip() != '':
lines.append(line[4].strip())
else:
print 'read wrong:' + '\t'.join(line)
except:
print 'read wrong:' + '\t'.join(line)
(s, p, _seg, _ner) = self._process_data(lines,
newwords,
None,
tags=tags)
list = self.statistics(s, p, _seg, _ner)
for l in list:
print l.encode('utf-8')
def test2(self):
lines = []
tags = []
newwords = []
newwords2 = []
for line in sys.stdin:
try:
line = line.split('\t')
if len(line) < 6:
print 'read wrong:' + '\t'.join(line)
continue
tags.append(line[1])
newwords.append(
(line[0], (self.relation[line[1].decode('utf-8')])[0]))
newwords2.append(
(line[2], (self.relation[line[1].decode('utf-8')])[0]))
if line[5].strip() != '':
lines.append(line[5].strip())
else:
print 'read wrong:' + '\t'.join(line)
except:
print 'read wrong:' + '\t'.join(line)
(s, p, _seg, _ner) = self._process_data(lines,
newwords,
newwords2,
tags=tags)
list = self.statistics(s, p, _seg, _ner)
for l in list:
print l.encode('utf-8')
def test1(self):
lines = []
tags = []
newwords = []
newwords2 = []
ss = ''
pstr = ''
anstr = ''
check = False
wf = open('result_fanhua_1', 'ab')
current = 0
all = 0
for line in sys.stdin:
line = line.split('\t')
if len(line) < 5:
print 'read wrong:' + '\t'.join(line)
continue
if ss != line[0] and check:
(s, p, _seg, _ner) = self._process_data(lines,
newwords,
newwords2,
tags=tags)
list = self.statistics(s, p, _seg, _ner)
wf.write(ss + '\t' + pstr + '\t' + anstr + '\n')
all += 1
for l in list:
print 'result' + l
wf.write(l + "\n\n")
if l.split('\t')[2] == anstr:
current += 1
print current
lines = []
tags = []
newwords = []
newwords2 = []
ss = line[0]
pstr = line[1]
anstr = line[2]
tags.append(line[1])
newwords.append(
(line[0], (self.relation[line[1].decode('utf-8')])[0]))
newwords2.append(
(line[2], (self.relation[line[1].decode('utf-8')])[0]))
if line[4].strip() != '':
check = True
lines.append(line[4].strip())
else:
print 'read wrong:' + '\t'.join(line)
wf.write('all' + str(all))
wf.write('current' + str(current))
wf.close()
def test(self):
lines = []
tags = []
newwords = []
for line in sys.stdin:
try:
line = line.split(' \t')
tags.append(line[0].split('\t')[1])
newwords.append((line[0].split('\t')[0], (
self.relation[line[0].split('\t')[1].decode('utf-8')])[0]))
lines.append(line[1].strip())
except:
print line
quit()
(s, p, answer) = self._process_data(lines, newwords, None, tags=tags)
list = self.statistics(s, p, answer)
for l in list:
print l.encode('utf-8')
def __init__(self, jieba=False):
import re
self.de = re.compile(u"[\u4e00-\u9fa5]")
self.jieba = jieba
self.relation = {
u'fuqin': ('PERSON', 'PERSON'),
u'erzi': ('PERSON', 'PERSON'),
u'nver': ('PERSON', 'PERSON'),
u'nvyou': ('PERSON', 'PERSON'),
u'nanyou': ('PERSON', 'PERSON'),
u'muqin': ('PERSON', 'PERSON'),
u'emma': ('PERSON', 'PERSON'),
u'zhangfu': ('PERSON', 'PERSON'),
u'qizi': ('PERSON', 'PERSON'),
u'\u5973\u53cb': ('PERSON', 'PERSON'),
u'\u5973\u513f': ('PERSON', 'PERSON'),
u'\u59bb\u5b50': ('PERSON', 'PERSON'),
u'\u4e08\u592b': ('PERSON', 'PERSON'),
u'\u524d\u592b': ('PERSON', 'PERSON'),
u'\u7236\u4eb2': ('PERSON', 'PERSON'),
u'\u8eab\u9ad8': ('PERSON', 'HEIGHT'),
u'\u751f\u65e5': ('PERSON', 'DATE'),
u'\u64ad\u51fa\u65f6\u95f4': ('FILM', 'TIME'),
u'\u4e3b\u9898\u66f2': ('FILM', 'MUSIC')
}
self.pos_tagger = {
'a': 0,
'ad': 1,
'ag': 2,
'an': 3,
'b': 4,
'bg': 5,
'c': 6,
'd': 7,
'df': 8,
'dg': 9,
'e': 10,
'en': 11,
'f': 12,
'g': 13,
'h': 14,
'i': 15,
'in': 16,
'j': 17,
'jn': 18,
'k': 19,
'l': 20,
'ln': 21,
'm': 22,
'mg': 23,
'mq': 24,
'n': 25,
'ng': 26,
'nr': 27,
'nrfg': 28,
'nrt': 29,
'ns': 30,
'nt': 31,
'nz': 32,
'o': 33,
'p': 34,
'q': 35,
'qe': 36,
'qg': 37,
'r': 38,
'rg': 39,
'rr': 40,
'rz': 41,
's': 42,
't': 43,
'tg': 44,
'u': 45,
'ud': 46,
'ug': 47,
'uj': 48,
'ul': 49,
'uv': 50,
'uz': 51,
'v': 52,
'vd': 53,
'vg': 54,
'vi': 55,
'vn': 56,
'vq': 57,
'w': 58,
'x': 59,
'y': 60,
'yg': 61,
'z': 62,
'zg': 63,
'a': 64,
'ad': 65,
'ag': 66,
'an': 67,
'b': 68,
'bg': 69,
'c': 70,
'd': 71,
'df': 72,
'dg': 73,
'e': 74,
'en': 75,
'f': 76,
'g': 77,
'h': 78,
'i': 79,
'in': 80,
'j': 81,
'jn': 82,
'k': 83,
'l': 84,
'ln': 85,
'm': 86,
'mg': 87,
'mq': 88,
'n': 89,
'ng': 90,
'nr': 91,
'nrfg': 92,
'nrt': 93,
'ns': 94,
'nt': 95,
'nz': 96,
'o': 97,
'p': 98,
'q': 99,
'qe': 100,
'qg': 101,
'r': 102,
'rg': 103,
'rr': 104,
'rz': 105,
's': 106,
't': 107,
'tg': 108,
'u': 109,
'ud': 110,
'ug': 111,
'uj': 112,
'ul': 113,
'uv': 114,
'uz': 115,
'v': 116,
'vd': 117,
'vg': 118,
'vi': 119,
'vn': 120,
'vq': 121,
'w': 122,
'x': 123,
'y': 124,
'yg': 125,
'z': 126,
'zg': 127,
'a': 128,
'ad': 129,
'ag': 130,
'an': 131,
'b': 132,
'bg': 133,
'c': 134,
'd': 135,
'df': 136,
'dg': 137,
'e': 138,
'en': 139,
'f': 140,
'g': 141,
'h': 142,
'i': 143,
'in': 144,
'j': 145,
'jn': 146,
'k': 147,
'l': 148,
'ln': 149,
'm': 150,
'mg': 151,
'mq': 152,
'n': 153,
'ng': 154,
'nr': 155,
'nrfg': 156,
'nrt': 157,
'ns': 158,
'nt': 159,
'nz': 160,
'o': 161,
'p': 162,
'q': 163,
'qe': 164,
'qg': 165,
'r': 166,
'rg': 167,
'rr': 168,
'rz': 169,
's': 170,
't': 171,
'tg': 172,
'u': 173,
'ud': 174,
'ug': 175,
'uj': 176,
'ul': 177,
'uv': 178,
'uz': 179,
'v': 180,
'vd': 181,
'vg': 182,
'vi': 183,
'vn': 184,
'vq': 185,
'w': 186,
'x': 187,
'y': 188,
'yg': 189,
'z': 190,
'zg': 191,
'a': 192,
'ad': 193,
'ag': 194,
'an': 195,
'b': 196,
'bg': 197,
'c': 198,
'd': 199,
'df': 200,
'dg': 201,
'e': 202,
'en': 203,
'f': 204,
'g': 205,
'h': 206,
'i': 207,
'in': 208,
'j': 209,
'jn': 210,
'k': 211,
'l': 212,
'ln': 213,
'm': 214,
'mg': 215,
'mq': 216,
'n': 217,
'ng': 218,
'nr': 219,
'nrfg': 220,
'nrt': 221,
'ns': 222,
'nt': 223,
'nz': 224,
'o': 225,
'p': 226,
'q': 227,
'qe': 228,
'qg': 229,
'r': 230,
'rg': 231,
'rr': 232,
'rz': 233,
's': 234,
't': 235,
'tg': 236,
'u': 237,
'ud': 238,
'ug': 239,
'uj': 240,
'ul': 241,
'uv': 242,
'uz': 243,
'v': 244,
'vd': 245,
'vg': 246,
'vi': 247,
'vn': 248,
'vq': 249,
'w': 250,
'x': 251,
'y': 252,
'yg': 253,
'z': 254,
'zg': 255,
'eng': 256
}
self.m = Merge(True, False)
#self.m = Merge(True,True)
pass
def test_strings(self):
lists = (("b", "e"), ("c", "d"), ("a", "z"))
lists = [iter(l) for l in lists]
merge = Merge(lists)
generator = merge.generator()
assert list(generator) == ['a', 'b', 'c', 'd', 'e', 'z']
# 100 days of code day 24: mail merge.
from merge import Merge
letter = "./Input/Letters/starting_letter.txt"
names = "./Input/Names/invited_names.txt"
print("Running mail merge\n")
merge = Merge(letter, names)
count = merge.merge()
print(f"Finished. Processed {count} records.")
password=SourceDBFrom["Password"])
filter_source_db_from.run()
filter_source_db_to = FilterPlayer(server_id=SourceDBTo["ServerID"],
host=SourceDBTo["Host"],
db=SourceDBTo["Database"],
user=SourceDBTo["User"],
password=SourceDBTo["Password"])
filter_source_db_to.run()
# 处理玩家重名
rename_player_proc = RenamePlayer(SourceDBFrom, SourceDBTo)
rename_player_proc.run()
# 公会数据处理
rename_guild_proc = RenameGuild(SourceDBFrom, SourceDBTo)
rename_guild_proc.run()
# 合并数据
merge_proc = Merge(SourceDBFrom, SourceDBTo, TargetDB)
merge_proc.run()
# 更新数据
update_proc = UpdateDB(SourceDBFrom, TargetDB)
update_proc.run()
end = time.time()
print "Elapsed %d seconds in total." % (end - begin)
print "Merge [%s] and [%s] to [%s] succeed." % (
SourceDBFrom["Database"], SourceDBTo["Database"], TargetDB["Database"])
class Extract:
def __init__(self, jieba=False):
import re
self.de = re.compile(u"[\u4e00-\u9fa5]")
self.jieba = jieba
self.relation = {
u"fuqin": ("PERSON", "PERSON"),
u"erzi": ("PERSON", "PERSON"),
u"nver": ("PERSON", "PERSON"),
u"nvyou": ("PERSON", "PERSON"),
u"nanyou": ("PERSON", "PERSON"),
u"muqin": ("PERSON", "PERSON"),
u"emma": ("PERSON", "PERSON"),
u"zhangfu": ("PERSON", "PERSON"),
u"qizi": ("PERSON", "PERSON"),
u"\u5973\u53cb": ("PERSON", "PERSON"),
u"\u5973\u513f": ("PERSON", "PERSON"),
u"\u59bb\u5b50": ("PERSON", "PERSON"),
u"\u4e08\u592b": ("PERSON", "PERSON"),
u"\u524d\u592b": ("PERSON", "PERSON"),
u"\u7236\u4eb2": ("PERSON", "PERSON"),
u"\u8eab\u9ad8": ("PERSON", "HEIGHT"),
u"\u751f\u65e5": ("PERSON", "DATE"),
u"\u64ad\u51fa\u65f6\u95f4": ("FILM", "TIME"),
u"\u4e3b\u9898\u66f2": ("FILM", "MUSIC"),
}
self.pos_tagger = {
"a": 0,
"ad": 1,
"ag": 2,
"an": 3,
"b": 4,
"bg": 5,
"c": 6,
"d": 7,
"df": 8,
"dg": 9,
"e": 10,
"en": 11,
"f": 12,
"g": 13,
"h": 14,
"i": 15,
"in": 16,
"j": 17,
"jn": 18,
"k": 19,
"l": 20,
"ln": 21,
"m": 22,
"mg": 23,
"mq": 24,
"n": 25,
"ng": 26,
"nr": 27,
"nrfg": 28,
"nrt": 29,
"ns": 30,
"nt": 31,
"nz": 32,
"o": 33,
"p": 34,
"q": 35,
"qe": 36,
"qg": 37,
"r": 38,
"rg": 39,
"rr": 40,
"rz": 41,
"s": 42,
"t": 43,
"tg": 44,
"u": 45,
"ud": 46,
"ug": 47,
"uj": 48,
"ul": 49,
"uv": 50,
"uz": 51,
"v": 52,
"vd": 53,
"vg": 54,
"vi": 55,
"vn": 56,
"vq": 57,
"w": 58,
"x": 59,
"y": 60,
"yg": 61,
"z": 62,
"zg": 63,
"a": 64,
"ad": 65,
"ag": 66,
"an": 67,
"b": 68,
"bg": 69,
"c": 70,
"d": 71,
"df": 72,
"dg": 73,
"e": 74,
"en": 75,
"f": 76,
"g": 77,
"h": 78,
"i": 79,
"in": 80,
"j": 81,
"jn": 82,
"k": 83,
"l": 84,
"ln": 85,
"m": 86,
"mg": 87,
"mq": 88,
"n": 89,
"ng": 90,
"nr": 91,
"nrfg": 92,
"nrt": 93,
"ns": 94,
"nt": 95,
"nz": 96,
"o": 97,
"p": 98,
"q": 99,
"qe": 100,
"qg": 101,
"r": 102,
"rg": 103,
"rr": 104,
"rz": 105,
"s": 106,
"t": 107,
"tg": 108,
"u": 109,
"ud": 110,
"ug": 111,
"uj": 112,
"ul": 113,
"uv": 114,
"uz": 115,
"v": 116,
"vd": 117,
"vg": 118,
"vi": 119,
"vn": 120,
"vq": 121,
"w": 122,
"x": 123,
"y": 124,
"yg": 125,
"z": 126,
"zg": 127,
"a": 128,
"ad": 129,
"ag": 130,
"an": 131,
"b": 132,
"bg": 133,
"c": 134,
"d": 135,
"df": 136,
"dg": 137,
"e": 138,
"en": 139,
"f": 140,
"g": 141,
"h": 142,
"i": 143,
"in": 144,
"j": 145,
"jn": 146,
"k": 147,
"l": 148,
"ln": 149,
"m": 150,
"mg": 151,
"mq": 152,
"n": 153,
"ng": 154,
"nr": 155,
"nrfg": 156,
"nrt": 157,
"ns": 158,
"nt": 159,
"nz": 160,
"o": 161,
"p": 162,
"q": 163,
"qe": 164,
"qg": 165,
"r": 166,
"rg": 167,
"rr": 168,
"rz": 169,
"s": 170,
"t": 171,
"tg": 172,
"u": 173,
"ud": 174,
"ug": 175,
"uj": 176,
"ul": 177,
"uv": 178,
"uz": 179,
"v": 180,
"vd": 181,
"vg": 182,
"vi": 183,
"vn": 184,
"vq": 185,
"w": 186,
"x": 187,
"y": 188,
"yg": 189,
"z": 190,
"zg": 191,
"a": 192,
"ad": 193,
"ag": 194,
"an": 195,
"b": 196,
"bg": 197,
"c": 198,
"d": 199,
"df": 200,
"dg": 201,
"e": 202,
"en": 203,
"f": 204,
"g": 205,
"h": 206,
"i": 207,
"in": 208,
"j": 209,
"jn": 210,
"k": 211,
"l": 212,
"ln": 213,
"m": 214,
"mg": 215,
"mq": 216,
"n": 217,
"ng": 218,
"nr": 219,
"nrfg": 220,
"nrt": 221,
"ns": 222,
"nt": 223,
"nz": 224,
"o": 225,
"p": 226,
"q": 227,
"qe": 228,
"qg": 229,
"r": 230,
"rg": 231,
"rr": 232,
"rz": 233,
"s": 234,
"t": 235,
"tg": 236,
"u": 237,
"ud": 238,
"ug": 239,
"uj": 240,
"ul": 241,
"uv": 242,
"uz": 243,
"v": 244,
"vd": 245,
"vg": 246,
"vi": 247,
"vn": 248,
"vq": 249,
"w": 250,
"x": 251,
"y": 252,
"yg": 253,
"z": 254,
"zg": 255,
"eng": 256,
}
self.m = Merge(True, False)
# self.m = Merge(True,True)
pass
# get the ner using merge and search the relation's Ner
def _process_data(self, lines, newwords, n2, tags=None):
s = []
p = []
_seg = []
_ner = []
self.m.add_new_words(newwords)
if n2 is not None:
self.m.add_new_words(n2)
for i in xrange(len(lines)):
line = lines[i]
(line_seg, line_pos, line_ner) = self.m.ner_using_nlpc(line)
# (line_ner,line_pos,line_seg,line_dep) = self.m.get_line_info(line,False)
if tags is not None:
tag = tags[i]
k = line_ner.count((self.relation[tag.decode("utf-8")])[1])
if k == 0:
continue
elif k == 1:
if (self.relation[tag.decode("utf-8")])[1] == (self.relation[tag.decode("utf-8")])[1]:
continue
else:
return
seg = line_seg.split("\t")
pos = line_pos.split("\t")
ner = line_ner.split("\t")
s.append(newwords[i][0].decode("utf-8"))
p.append(tag)
_seg.append(seg)
_ner.append(ner)
return (s, p, _seg, _ner)
def statistics(self, newwords, tags, segs, ners):
s = []
p = []
answer = []
fromline = []
for i in xrange(len(tags)):
tag = tags[i]
seg = segs[i]
ner = ners[i]
_a = []
print " ".join(seg).encode("utf-8")
for id in xrange(len(seg)):
if tags is not None:
if ner[id] == (self.relation[tag.decode("utf-8")])[1]:
ll = len(self.de.findall(seg[id]))
if ll == 0:
ll = len(seg[id])
if (seg[id] != newwords[i]) and (seg[id] not in _a) and (ll > 1) and seg[id].isdigit() == False:
print newwords[i].encode("utf-8") + "," + tag.encode("utf-8") + "," + seg[id].encode(
"utf-8"
)
_a.append(seg[id])
answer.append(seg[id])
s.append(newwords[i])
fromline.append("".join(seg))
p.append(tag)
dict = collections.OrderedDict()
for i in xrange(len(s)):
s[i] = s[i].decode("utf-8")
spo = s[i] + p[i] + answer[i]
if spo in dict:
dict[spo][2] += 1
else:
dict[spo] = []
dict[spo].append(s[i] + "\t" + p[i])
dict[spo].append(answer[i])
dict[spo].append(1)
dict[spo].append(fromline[i])
# result = {'sp':[[answer,count,line]]}
result = collections.OrderedDict()
for (k, v) in dict.items():
sp = v[0]
if sp in result:
if v[2] > result[sp][0][1]:
result[sp] = []
ddd = []
ddd.append(v[1])
ddd.append(v[2])
ddd.append(v[3])
result[sp].append(ddd)
elif v[2] == result[sp][0][1]:
ddd = []
ddd.append(v[1])
ddd.append(v[2])
ddd.append(v[3])
result[sp].append(ddd)
else:
result[sp] = []
ddd = []
ddd.append(v[1])
ddd.append(v[2])
ddd.append(v[3])
result[sp].append(ddd)
list = []
for (k, v) in result.items():
for i in xrange(len(v)):
value = v[i]
if value[1] == 1:
list.append(k + "\t" + value[0] + "\t" + "not sure" + "\t" + value[2])
else:
list.append(k + "\t" + value[0] + "\t" + str(value[1]) + "\t" + value[2])
return list
def test3(self):
lines = []
tags = []
newwords = []
newwords2 = []
for line in sys.stdin:
try:
line = line.split("\t")
if len(line) < 5:
print "read wrong:" + "\t".join(line)
continue
tags.append(line[1])
newwords.append((line[0], (self.relation[line[1].decode("utf-8")])[0]))
newwords2.append((line[2], (self.relation[line[1].decode("utf-8")])[0]))
if line[4].strip() != "":
lines.append(line[4].strip())
else:
print "read wrong:" + "\t".join(line)
except:
print "read wrong:" + "\t".join(line)
(s, p, _seg, _ner) = self._process_data(lines, newwords, None, tags=tags)
list = self.statistics(s, p, _seg, _ner)
for l in list:
print l.encode("utf-8")
def test2(self):
lines = []
tags = []
newwords = []
newwords2 = []
for line in sys.stdin:
try:
line = line.split("\t")
if len(line) < 6:
print "read wrong:" + "\t".join(line)
continue
tags.append(line[1])
newwords.append((line[0], (self.relation[line[1].decode("utf-8")])[0]))
newwords2.append((line[2], (self.relation[line[1].decode("utf-8")])[0]))
if line[5].strip() != "":
lines.append(line[5].strip())
else:
print "read wrong:" + "\t".join(line)
except:
print "read wrong:" + "\t".join(line)
(s, p, _seg, _ner) = self._process_data(lines, newwords, newwords2, tags=tags)
list = self.statistics(s, p, _seg, _ner)
for l in list:
print l.encode("utf-8")
def test1(self):
lines = []
tags = []
newwords = []
newwords2 = []
ss = ""
pstr = ""
anstr = ""
check = False
wf = open("result_fanhua_1", "ab")
current = 0
all = 0
for line in sys.stdin:
line = line.split("\t")
if len(line) < 5:
print "read wrong:" + "\t".join(line)
continue
if ss != line[0] and check:
(s, p, _seg, _ner) = self._process_data(lines, newwords, newwords2, tags=tags)
list = self.statistics(s, p, _seg, _ner)
wf.write(ss + "\t" + pstr + "\t" + anstr + "\n")
all += 1
for l in list:
print "result" + l
wf.write(l + "\n\n")
if l.split("\t")[2] == anstr:
current += 1
print current
lines = []
tags = []
newwords = []
newwords2 = []
ss = line[0]
pstr = line[1]
anstr = line[2]
tags.append(line[1])
newwords.append((line[0], (self.relation[line[1].decode("utf-8")])[0]))
newwords2.append((line[2], (self.relation[line[1].decode("utf-8")])[0]))
if line[4].strip() != "":
check = True
lines.append(line[4].strip())
else:
print "read wrong:" + "\t".join(line)
wf.write("all" + str(all))
wf.write("current" + str(current))
wf.close()
def test(self):
lines = []
tags = []
newwords = []
for line in sys.stdin:
try:
line = line.split(" \t")
tags.append(line[0].split("\t")[1])
newwords.append((line[0].split("\t")[0], (self.relation[line[0].split("\t")[1].decode("utf-8")])[0]))
lines.append(line[1].strip())
except:
print line
quit()
(s, p, answer) = self._process_data(lines, newwords, None, tags=tags)
list = self.statistics(s, p, answer)
for l in list:
print l.encode("utf-8")
"X: %.3f m" % self._cursor[0])
textPainter.drawText(
QPoint(ViewerWindow.MARGIN[0] / self._ratioX,
ViewerWindow.MARGIN[1] / self._ratioY + 260),
"Y: %.3f m" % self._cursor[1])
textPainter.drawText(
QPoint(ViewerWindow.MARGIN[0] / self._ratioX,
ViewerWindow.MARGIN[1] / self._ratioY + 280),
"Z: %.2f deg" % (self._cursor[2] / pi * 180))
textPainter.drawText(
QPoint(ViewerWindow.MARGIN[0] / self._ratioX,
ViewerWindow.MARGIN[1] / self._ratioY + 320), "速度")
textPainter.drawText(
QPoint(ViewerWindow.MARGIN[0] / self._ratioX,
ViewerWindow.MARGIN[1] / self._ratioY + 340),
"X-Y: %.3f m/s" % sqrt(self._speed[0]**2 + self._speed[1]**2))
textPainter.drawText(
QPoint(ViewerWindow.MARGIN[0] / self._ratioX,
ViewerWindow.MARGIN[1] / self._ratioY + 360),
"Z: %.2f deg/s" % (self._speed[2] / pi * 180))
if __name__ == '__main__':
from omni import Omni
from merge import Merge
from dash import Dash
omni = Omni()
merge = Merge()
dash = Dash(omni, merge)
viewer = Viewer(dash)
def task_download_starts_avtar():
m = Merge()
m.download_starts_avtar(query={})
第四部，清洗优酷
'''
'''
3,category信息:
从清洗好的内容库抽出来存到category库,偶caozuo
'''
t = time.time()
# merge()
# fixyoukuid()
# fixletv()
# merge_star()
# merge_youkustar()
# merge_letvstar()
#merge_doubanvideo()
# merge_letvvideo()
# merge_youku_videos()
# groupCategories() #偶操作....
# task_download_starts_avtar()
# rm_unknown()
# clean_category()
# task_groupLanguageAndProducer_country()
m = Merge()
m.fix_youku_starId()
print(time.time() - t)
def merge_star():
m = Merge()
m.merge_star()
#!/usr/bin/python3
from poll import Poll
from merge import Merge
pollThread = Poll("http://localhost:35673/devices")
pollThread.start()
mergeThread = Merge("http://localhost:35673")
mergeThread.start()
def __init__(self, jieba=False):
import re
self.de = re.compile(u"[\u4e00-\u9fa5]")
self.jieba = jieba
self.relation = {
u"fuqin": ("PERSON", "PERSON"),
u"erzi": ("PERSON", "PERSON"),
u"nver": ("PERSON", "PERSON"),
u"nvyou": ("PERSON", "PERSON"),
u"nanyou": ("PERSON", "PERSON"),
u"muqin": ("PERSON", "PERSON"),
u"emma": ("PERSON", "PERSON"),
u"zhangfu": ("PERSON", "PERSON"),
u"qizi": ("PERSON", "PERSON"),
u"\u5973\u53cb": ("PERSON", "PERSON"),
u"\u5973\u513f": ("PERSON", "PERSON"),
u"\u59bb\u5b50": ("PERSON", "PERSON"),
u"\u4e08\u592b": ("PERSON", "PERSON"),
u"\u524d\u592b": ("PERSON", "PERSON"),
u"\u7236\u4eb2": ("PERSON", "PERSON"),
u"\u8eab\u9ad8": ("PERSON", "HEIGHT"),
u"\u751f\u65e5": ("PERSON", "DATE"),
u"\u64ad\u51fa\u65f6\u95f4": ("FILM", "TIME"),
u"\u4e3b\u9898\u66f2": ("FILM", "MUSIC"),
}
self.pos_tagger = {
"a": 0,
"ad": 1,
"ag": 2,
"an": 3,
"b": 4,
"bg": 5,
"c": 6,
"d": 7,
"df": 8,
"dg": 9,
"e": 10,
"en": 11,
"f": 12,
"g": 13,
"h": 14,
"i": 15,
"in": 16,
"j": 17,
"jn": 18,
"k": 19,
"l": 20,
"ln": 21,
"m": 22,
"mg": 23,
"mq": 24,
"n": 25,
"ng": 26,
"nr": 27,
"nrfg": 28,
"nrt": 29,
"ns": 30,
"nt": 31,
"nz": 32,
"o": 33,
"p": 34,
"q": 35,
"qe": 36,
"qg": 37,
"r": 38,
"rg": 39,
"rr": 40,
"rz": 41,
"s": 42,
"t": 43,
"tg": 44,
"u": 45,
"ud": 46,
"ug": 47,
"uj": 48,
"ul": 49,
"uv": 50,
"uz": 51,
"v": 52,
"vd": 53,
"vg": 54,
"vi": 55,
"vn": 56,
"vq": 57,
"w": 58,
"x": 59,
"y": 60,
"yg": 61,
"z": 62,
"zg": 63,
"a": 64,
"ad": 65,
"ag": 66,
"an": 67,
"b": 68,
"bg": 69,
"c": 70,
"d": 71,
"df": 72,
"dg": 73,
"e": 74,
"en": 75,
"f": 76,
"g": 77,
"h": 78,
"i": 79,
"in": 80,
"j": 81,
"jn": 82,
"k": 83,
"l": 84,
"ln": 85,
"m": 86,
"mg": 87,
"mq": 88,
"n": 89,
"ng": 90,
"nr": 91,
"nrfg": 92,
"nrt": 93,
"ns": 94,
"nt": 95,
"nz": 96,
"o": 97,
"p": 98,
"q": 99,
"qe": 100,
"qg": 101,
"r": 102,
"rg": 103,
"rr": 104,
"rz": 105,
"s": 106,
"t": 107,
"tg": 108,
"u": 109,
"ud": 110,
"ug": 111,
"uj": 112,
"ul": 113,
"uv": 114,
"uz": 115,
"v": 116,
"vd": 117,
"vg": 118,
"vi": 119,
"vn": 120,
"vq": 121,
"w": 122,
"x": 123,
"y": 124,
"yg": 125,
"z": 126,
"zg": 127,
"a": 128,
"ad": 129,
"ag": 130,
"an": 131,
"b": 132,
"bg": 133,
"c": 134,
"d": 135,
"df": 136,
"dg": 137,
"e": 138,
"en": 139,
"f": 140,
"g": 141,
"h": 142,
"i": 143,
"in": 144,
"j": 145,
"jn": 146,
"k": 147,
"l": 148,
"ln": 149,
"m": 150,
"mg": 151,
"mq": 152,
"n": 153,
"ng": 154,
"nr": 155,
"nrfg": 156,
"nrt": 157,
"ns": 158,
"nt": 159,
"nz": 160,
"o": 161,
"p": 162,
"q": 163,
"qe": 164,
"qg": 165,
"r": 166,
"rg": 167,
"rr": 168,
"rz": 169,
"s": 170,
"t": 171,
"tg": 172,
"u": 173,
"ud": 174,
"ug": 175,
"uj": 176,
"ul": 177,
"uv": 178,
"uz": 179,
"v": 180,
"vd": 181,
"vg": 182,
"vi": 183,
"vn": 184,
"vq": 185,
"w": 186,
"x": 187,
"y": 188,
"yg": 189,
"z": 190,
"zg": 191,
"a": 192,
"ad": 193,
"ag": 194,
"an": 195,
"b": 196,
"bg": 197,
"c": 198,
"d": 199,
"df": 200,
"dg": 201,
"e": 202,
"en": 203,
"f": 204,
"g": 205,
"h": 206,
"i": 207,
"in": 208,
"j": 209,
"jn": 210,
"k": 211,
"l": 212,
"ln": 213,
"m": 214,
"mg": 215,
"mq": 216,
"n": 217,
"ng": 218,
"nr": 219,
"nrfg": 220,
"nrt": 221,
"ns": 222,
"nt": 223,
"nz": 224,
"o": 225,
"p": 226,
"q": 227,
"qe": 228,
"qg": 229,
"r": 230,
"rg": 231,
"rr": 232,
"rz": 233,
"s": 234,
"t": 235,
"tg": 236,
"u": 237,
"ud": 238,
"ug": 239,
"uj": 240,
"ul": 241,
"uv": 242,
"uz": 243,
"v": 244,
"vd": 245,
"vg": 246,
"vi": 247,
"vn": 248,
"vq": 249,
"w": 250,
"x": 251,
"y": 252,
"yg": 253,
"z": 254,
"zg": 255,
"eng": 256,
}
self.m = Merge(True, False)
# self.m = Merge(True,True)
pass
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="prepare_for_neuronet")
parser.add_argument('--input', help='Input directory of bunches (annotation files)')
args = parser.parse_args()
input_dir = args.input
input_dir, output_dir = Utils.init_paths_neuroner(input_dir)
annotators = ['eugenia', 'victoria', 'isabel', 'carmen']
variable_dict, variable_hash_dict, section_dict = Entities.get_final_annotators_entities(
input_dir,
output_dir,
t_number=False)
merged_variables, _ = Merge.merge_entities(variable_dict)
merged_sections, _ = Merge.merge_entities(section_dict)
merged_variables_hash = Merge.merge_hash(variable_hash_dict)
section_variable = Merge.merge_variables_sections(merged_variables, merged_sections)
Write.accepted_variables_neuroner(section_variable, merged_variables_hash, output_dir)
print("Done")
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="re_annotation")
parser.add_argument('--bunch', help='Which set is going to compare')
args = parser.parse_args()
bunch = args.bunch
input_dir, output_dir = Utils.init_paths()
annotators = Utils.annators_name(input_dir)
variable_dict, variable_hash_dict, section_dict= Entities.get_annotators_entities(bunch,
annotators,
input_dir,
t_number=False)
merged_variables, owner_file = Merge.merge_entities(variable_dict)
merged_variables = Entities.sorted_entities(merged_variables)
merged_sections, _ = Merge.merge_entities(section_dict)
merged_variables_hash = Merge.merge_hash(variable_hash_dict)
ctakes_dir = input_dir.replace("input", "ctakes_output")
ctakes_variables, ctakes_variables_hash, ctakes_sections = Entities.get_ctakes_entities(bunch,
ctakes_dir,
t_number=False)
merged_variables, merged_variables_hash, merged_sections = Merge.merge_ctakes_annotators(merged_variables,
merged_variables_hash,
merged_sections,
ctakes_variables,
ctakes_variables_hash,
def act_merge(self):
merge = Merge(tmpdir=self.processed_dir, section_names=self.sections)
merge.process(self.filepath_out)
opendocument(self.filepath_out)