def __init__(self):
self.parser = MyParser()
self.__base_url = base_url()
self.__login_url = login_url()
self.__failures = 0
self.__session = self.open_session()
self.cache = Cache()
self.file_io_driver = FileIODriver()
self.current_url_id = int(
self.cache.last_id) if self.cache.last_id else crawl_start_id()
self.current_url = ''
def __init__(self):
super(MainWindow, self).__init__()
self.ui = Ui_MainWindow()
self.ui.setupUi(self)
self.setWindowTitle('Програма для морфологічного аналізу слів, та вирішування тестів')
self.ui.pushButton_solve.clicked.connect(self.solve)
self.parser_obj = MyParser()
self.another = Another()
self.ab = About()
self.settings = Settings()
self.ui.action.triggered.connect(self.another.instruction)
self.ui.action_about.triggered.connect(self.ab.about)
self.ui.action_3.triggered.connect(self.settings.show_set)
self.settings.ui.checkBox.clicked.connect(self.hide_predict)
self.show_message('Програма не гарантує 100% правильність відповіді')
def main():
# コマンドライン引数を取得
args = sys.argv
# 関数定義
funcs = args[1]
# 定数定義
defines = args[2]
# 入力ファイル
infile = args[3]
# 出力ファイル
outfile = args[4]
# 字句解析する
parser = MyParser(Lexer(LexerReader(infile)), funcs, defines)
# 構文解析する
parser.parse(outfile)
def main(url):
parser = MyParser(url)
text = parser.bpArtGetText()
print(text)
pos_tagged = semantics.text_to_pos_tags(text)
entities = semantics.entities(pos_tagged, "PER", "ORG", "LOC", "DAT",
"FAC", "GPE")
entities = semantics.ordered_set_of_tags(entities)
adjectives = semantics.adjectives(pos_tagged)
adjectives = semantics.ordered_set_of_tags(adjectives)
for tag in entities and adjectives:
print(tag)
for ent in entities:
tag_dict[ent] = "ENT"
print(entities)
for adj in adjectives:
tag_dict[adj] = "ADJ"
print(adjectives)
mean_arousal = lookup.mean(pos_tagged)
print(mean_arousal)
while (True):
# prompt user for input file name
input_file = input(
'Input file name [Press \'Enter\' to user default - input.txt]: ')
# check if blank, change to default
if (input_file == ''):
input_file = 'input.txt'
if (os.path.isfile(input_file)):
break
else:
print('ImportError: could not find file', input_file)
print('Found file', input_file)
# open file and read all lines (removing any '\n' chars)
with open(input_file, 'r') as open_file:
lines = open_file.readlines()
# parse the text to generate stack code
parser = MyParser(print_tree, time_parse)
output = parser.parse(lines)
if (output != None):
print('Finished parsing with no errors.')
# print output
print('\nPrinting generated output:')
for node in output:
print(node)
def setUp(self):
self.parser = MyParser()
### To Add: ### - Telephone number search ### - import pdf ### - output resulting data to json or similar ### - add functionality to run the script in a different folder from filefinder import FileFinder from my_parser import MyParser files = FileFinder() list_of_files, flag = files.get_files() parsed_files = MyParser(list_of_files, flag) parsed_files.write_json_file()
from my_parser import MyParser
from aro_lookup import AroLookup
from api_calls import tagSearch
import semantics
import sys
genresUrl = 'http://labrosa.ee.columbia.edu/millionsong/sites/default/files/AdditionalFiles/unique_terms.txt'
testUrl = 'http://www.bbc.com/news/technology-31552029'
testSentence = "This is an ultimate, to beat Chelsea, who I think will go on and win the Champion's League - it really is."
lookup = AroLookup()
tag_dict = {}
logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s',
level=logging.INFO)
parser = MyParser(testUrl)
text = parser.bpArtGetText()
print(text)
pos_tagged = semantics.text_to_pos_tags(text)
entities = semantics.entities(pos_tagged, "PER", "ORG", "LOC", "DAT", "FAC",
"GPE")
print(entities)
print(semantics.ordered_set_of_tags(entities))
def main(url):
parser = MyParser(url)
text = parser.bpArtGetText()
print(text)
pos_tagged = semantics.text_to_pos_tags(text)
entities = semantics.entities(pos_tagged, "PER", "ORG", "LOC", "DAT",
