from IPython import get_ipython
ipython = get_ipython()
ipython.magic('load_ext autoreload')
ipython.magic('autoreload 2')
config = confuse.Configuration('course_project')
ONTO_BASE = '../ontologies/'
CORRECT_INSTANCES_BASE = '../instances/'
CORRECT_INSTANCES = correct_instances.parse_instances_from_txt(
CORRECT_INSTANCES_BASE + config['correct_instances'].get())
# %%
text_to_parse = input_reader.read(config)
print(text_to_parse[:500])
# %%
sentences = nlp.tokenize_text(text_to_parse)
words_amount = sum([len(sent) for sent in sentences])
print(f'Кол-во предложений: {str(len(sentences))}')
print(f'Кол-во слов: {str(words_amount)}')
# %%
morph = pymorphy2.MorphAnalyzer()
sentences = [[morph.parse(word)[0].normal_form for word in sent]
from input_reader import read
import datetime
data = read(__file__)
test_data = read(__file__, name='test')
def parse_data(input_data):
output_list = list()
for idx, line in enumerate(input_data):
parsed_line = line.rstrip().replace('#', '').split(' ')
time_date = ' '.join(parsed_line[0:2])[1:-1]
time_stamp = datetime.datetime.fromisoformat(time_date)
output_list.append([time_stamp.timestamp(), time_stamp.minute, parsed_line[3]])
return output_list
def sort_list(input_data):
sorted_list = sorted(input_data, key=lambda x: x[0]) # TODO wrong direction
return [x[1:] for x in sorted_list]
def task_one(input_data):
sleep = [None, None]
sorted_data = sort_list(parse_data(input_data))
big_dict = dict()
dict_key = ''
for entry in sorted_data:
minute = entry[0]
value = entry[1]
if value.isdigit() and dict_key == '':
from input_reader import read
data = read(__file__)
def task_one(input_data):
return sum([int(x) for x in input_data])
def task_two(input_data):
current_freq = 0
seen_set = set()
while True:
for row in input_data:
current_freq += int(row)
if current_freq not in seen_set:
seen_set.add(current_freq)
else:
return current_freq
print('Task one: ', task_one(data))
print('Task two: ', task_two(data))
