AlexDel

#!/bin/bash
echo "Checking for CUDA and installing."
# Check for CUDA and try to install.
if ! dpkg-query -W cuda; then
  # The 16.04 installer works with 16.10.
  curl -O http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/cuda-repo-ubuntu1604_9.2.148-1_amd64.deb
  dpkg -i ./cuda-repo-ubuntu1604_9.2.148-1_amd64.deb
  apt-get update
  apt-get install cuda -y
fi

AlexDel

import requests
from bs4 import BeautifulSoup
from googlesearch import search

def find_on_amazon(item_name):
    return [url for url in search(f'site:www.amazon.com {item_name}', stop=20)]
    
res_urls = find_on_amazon("Bearington Lil' Grizby Small Plush Stuffed Animal Brown Grizzly Bear, 7 inches.") 

headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/27.0.1453.93 Safari/537.36'}

AlexDel

vkDataFrame = getVkData()

vkDataFrame['unreliableSpeech_ratio'] = vkDataFrame['normal_tokens'].apply(CountFearFeatures_unreliableSpeech) 
vkGrouped = vkDataFrame.groupby('emotion')[['unreliableSpeech_ratio']].agg('mean')
print(vkGrouped)

# emotion                           
# ANGER                     0.000646
# DISGUST                   0.000383
# DISTRESS                  0.000217

AlexDel

import csv
import re

f = open('./fear1.txt', 'r', encoding='utf-8')
tablitsa = [row for row in csv.reader(f, delimiter=',')]

def CountFearFeatures_time(text):
    features_time = []

    words = text.lower().split()

AlexDel

import csv

with open ('./fear1.txt', 'r', encoding='utf-8') as f:
	tablitsa = csv.reader(f, delimiter=',')
	
	#выводим первый текст
	print(tablitsa[0][4])
	
	#делим на слова
	print(tablitsa[0][4].lower().split())

AlexDel

import re

file_emotion = open('fear1.txt', 'r', encoding='utf-8')
text_emotion = file_emotion.read().lower()
words = text_emotion.split()

def CountFearFeatures_time(text):
    features_time = []
       
    for word in text:

AlexDel

bigFle = open('bigText.txt', 'r', encoding='utf-8')
bigTextFromFile = file.read()

AlexDel

file = open('tasks.txt', 'r', encoding='utf-8')
task = file.read()
import re

def defineSuitableline(line):
    suitableForTask = False
    words = re.split('\W', line)
    
    for word in words:
        if word == 'e-mail' or word == 'email' or word == 'forum' or word == 'blog' or word == 'twitter' or word == 'web' or words == 'website':

AlexDel

file_emotion = open('excitement.txt', 'r', encoding='utf-8')
text_emotion = file_emotion.read()
words = text_emotion.split()

def CountSuperlativeAdj(text):
    superlativeAdj = []
       
    for word in text:
        if word[-5:] == 'ейший' or word[-5:] == 'ейшая' or word[-5:] == 'ейшее':
            superlativeAdj.append(word)

AlexDel

# Открываем файл
fileWithText = open('someFile.txt', 'r', encoding='utf-8')
# Если появляется ошибка с текстов "Unicode error, can't decode..." используйте это - "fileWithText = open('someFile.txt', 'r', encoding='cp1251')"

# Читаем содержимое файла. Записываем строку в переменную textFromFile
textFromFile = fileWithText.read()

# Функция, которая ищет слова, которые начинаются с 'un' - unbreak, undone, etc.
def countWordsWithUn(textString):
  # Разделяем строку по пробелам, чтобы получить список слова