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# Дамп базы хуза
# Постобработка export-а из MySQL

import pandas as pd
import numpy as np
import csv

comments = pd.read_csv('/wp_comments-2.csv', header=None)
comments.head()

##

comments_clean = pd.DataFrame({
    'comment_id': comments[0],
    'comment_post_id': comments[1],
    'comment_parent': comments[13],
    'name': comments[2],
    'gravatar_hash': comments[3].str.split('@').str[0],
    'gravatar_domain': comments[3].str.split('@').str[1],
    'profile': comments[4],
    'date': comments[6],
    'content': comments[8],
})

##

comments_clean[(comments_clean.gravatar_domain != 'lo.ol') & ~comments_clean.gravatar_domain.isna()]

##

comments_clean = comments_clean[(comments_clean.gravatar_domain == 'lo.ol') | comments_clean.gravatar_domain.isna()]
comments_clean.drop(columns=['gravatar_domain'], inplace=True)
comments_clean.head()

##

posts = pd.read_csv('/wp_posts.csv', header=None)
posts = posts[(posts[20] == 'post') & (posts[7] == 'publish') & (posts[11].str.match('^_'))]
posts.head()

##

posts_clean = pd.DataFrame({
    'post_id': posts[0],
    'date': posts[2],
    'content': posts[4],
    'description': posts[6],
    'original_id': posts[11].str[1:]
})
posts_clean.head()

##

comments_clean.to_csv('~/Downloads/gost/comments.csv', index=False)
posts_clean.to_csv('~/Downloads/gost/posts.csv', index=False)

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* g o a t s e x * g o a t s e x * g o a t s e x *
g                                               g  
o /     \             \            /    \       o
a|       |             \          |      |      a
t|       `.             |         |       :     t
s`        |             |        \|       |     s
e \       | /       /  \\\   --__ \\       :    e
x  \      \/   _--~~          ~--__| \     |    x  
*   \      \_-~                    ~-_\    |    *
g    \_     \        _.--------.______\|   |    g
o      \     \______// _ ___ _ (_(__>  \   |    o
a       \   .  C ___)  ______ (_(____>  |  /    a
t       /\ |   C ____)/      \ (_____>  |_/     t
s      / /\|   C_____)BORMAND|  (___>   /  \    s
e     |   (   _C_____)\______/  // _/ /     \   e
x     |    \  |__   \\_________// (__/       |  x
*    | \    \____)   `----   --'             |  *
g    |  \_          ___\       /_          _/ | g
o   |              /    |     |  \            | o
a   |             |    /       \  \           | a
t   |          / /    |         |  \           |t
s   |         / /      \__/\___/    |          |s
e  |           /        |    |       |         |e
x  |          |         |    |       |         |x
* g o a t s e x * g o a t s e x * g o a t s e x *

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* g o a t s e x * g o a t s e x * g o a t s e x *
g                                               g  
o /     \             \            /    \       o
a|       |             \          |      |      a
t|       `.             |         |       :     t
s`        |             |        \|       |     s
e \       | /       /  \\\   --__ \\       :    e
x  \      \/   _--~~          ~--__| \     |    x  
*   \      \_-~                    ~-_\    |    *
g    \_     \        _.--------.______\|   |    g
o      \     \______// _ ___ _ (_(__>  \   |    o
a       \   .  C ___)  ______ (_(____>  |  /    a
t       /\ |   C ____)/      \ (_____>  |_/     t
s      / /\|   C_____)       |  (___>   /  \    s
e     |   (   _C_____)\______/  // _/ /     \   e
x     |    \  |__   \\_________// (__/       |  x
*    | \    \____)   `----   --'             |  *
g    |  \_          ___\       /_          _/ | g
o   |              /    |     |  \            | o
a   |             |    /       \  \           | a
t   |          / /    |         |  \           |t
s   |         / /      \__/\___/    |          |s
e  |           /        |    |       |         |e
x  |          |         |    |       |         |x
* g o a t s e x * g o a t s e x * g o a t s e x *

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class Bagor:
	r = []
	
	def __init__(self, val):
		self.r.append(val)
		
	def get(self):
		return self.r[0]
		
kakoi = Bagor(1)
bagor = Bagor(2)
print([kakoi.get(), bagor.get()])

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import logging
import requests
from .. import loader, utils

logger = logging.getLogger(__name__)

def register(cb):
    cb(TagallMod())

def chunks(lst, n):
    for i in range(0, len(lst), n):
        yield lst[i:i + n]

class TagallMod(loader.Module):

    strings = {"name": "Tagall"}

    def __init__(self):
        self.config = loader.ModuleConfig("DEFAULT_MENTION_MESSAGE", "Привет", "Default message of mentions")
        self.name = self.strings["name"]

    async def client_ready(self, client, db):
        self.client = client

    async def tagallcmd(self, message):
        arg = utils.get_args_raw(message)

        logger.error(message)
        notifies = []
        async for user in self.client.iter_participants(message.to_id):
            notifies.append("<a href=\"tg://user?id="+ str(user.id) +"\">\u206c\u206f</a>")
        chunkss = list(chunks(notifies, 10))
        logger.error(chunkss)
        await message.delete()
        for chunk in chunkss:
            await self.client.send_message(message.to_id, (self.config["DEFAULT_MENTION_MESSAGE"] if not arg else arg) + '\u206c\u206f'.join(chunk))

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s=79; cur=[s//2,s//2]; prio=[[0,1],[1,0],[0,-1],[-1,0]]
spiral = [[0 for i in range(0,s)] for l in range(0,s)]
for cor in enumerate([[0,0]]+[prio[c] for c in [int(c) for c in ''.join([str(p%4)*((p+2)//2) for p in range(0,s**2//2)])]][:s**2-1],start=1):
    n=cor[0];cur=[cur[0]+cor[1][0],cur[1]+cor[1][1]];spiral[cur[0]][cur[1]]=n
for c in spiral: print(str(('{:>'+str(len(str(s**2))+1)+'}')*len(c)).format(*c))

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# Калькулятор полных линейных неравенств

# Модули
from math import sqrt

# Пояснение
print('Это калькулятор полных линейных неравенств')
print('Эти неравенства выглядят так: a*x^2 +- b*x +- c = 0')
print('a, b и c - коэффиценты.\n')

# Ввод коэффицентов
a = int(input('Введите коэффицент a:'))
b = int(input('Введите коэффицент b:'))
c = int(input('Введите коэффицент c:'))
r = 0
D = 0
# Решение: вид неравенства
if b >= 0: 
    g = '+ '
else:
    g = ''
if c >= 0: 
    f = '+ '
else:
    f = ''
print('Так выглядит уравнение: ' + str(a) + 'x^2 ' + str(g) + str(b) + '*x ' + str(f) + str(c) + ' = 0')

# Решение: коэффиценты и дискриминант
print('Дискриминант(D) равен b^2 - 4 * a * c')
print('Значит D = ' + str(b) + '^2 - 4 * ' + str(a) + ' * ' + str(c))
b = int(b)
a = int(a)
c = int(c)
D = b**2 - 4 * a * c
print('D = ' + str(D))
drt = sqrt(D)
# Решение: ответ
if D < 0:
    print('Ответ: Уравнение не имеет корней, так как дискриминант меньше нуля')
elif D == 0:
    print('Уравнение имеет один корень: ')
    x = -b/(2*a)
    print('Корень уравнения: x = ' + str(x))
elif D > 0: 
    print('Уравнение имеет два корня: ')
    x1 = (-b - drt)/2*a
    x2 = (-b + drt)/2*a
    print("Корни уравнения: x1 = " + str(x1) + ', x2 = ' + str(x2))
else:
    r = 0

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from bs4 import BeautifulSoup
import requests

user = "**********"
r = requests.get('https://www.last.fm/user/' + user)
soup = BeautifulSoup(r.content, 'html.parser')
page = soup.prettify()

#Top artists
print(
page[int(page.find('’s top artists: ') + len('’s top artists: ')):int(page.find('. Get your own music profile at Last.fm')):]
)

#Top track
print(
''.join(i if i != "+" else " " for i in (page[int(page.find('data-analytics-action="FeaturedTrackTrackName" href="/music/') + len('data-analytics-action="FeaturedTrackTrackName" href="/music/')):int(page.find('/_/', int(page.find('data-analytics-action="FeaturedTrackTrackName" href="/music/') + len('data-analytics-action="FeaturedTrackTrackName" href="/music/')))):] + " - " + page[int(page.find('/_/')) + 3:page.find('"', int(page.find('/_/'))):]))
)

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from colorama import init, Fore, Back, Style
init()
print(Back.BLACK)
print(Fore.RED)
print(Style.NORMAL)
print("Script mamoeba/Скрипт сделан")
print("┌────────────────────────────────────┐")
print("│Author : GovnoCode user                  │")
print("│Github : https://:/│")
print("└────────────────────────────────────┘")
print("YouTube: utube")
print("▄▀▄ █▄░▄█ ▀ █▄░█ ▄▀▄ ▄▀▄ █▀▄ ▐▌░▐▌ █▀▄ ▄▀▄")
print("█▀█ █░█░█ █ █░▀█ █░█ █▀█ █░█ ░▀▄▀░ █▀█ █░█")
print("▀░▀ ▀░░░▀ ▀ ▀░░▀ ░▀░ ▀░▀ ▀▀░ ░░▀░░ ▀▀░ ░▀░")
print("Advertise Bot Amino")
lz = []
from concurrent.futures import ThreadPoolExecutor
import concurrent.futures
import amino
def advertise(data):
    listusers = []
    for userId in data.profile.userId:
        listusers.append(userId)
    return listusers
    
email = input("Email/Почта: ")
password = input("Password/Пароль: ")
msg = input("Message/Сообщение: ")
client = amino.Client()
client.login(email=email, password=password)
clients = client.sub_clients(start=0, size=1000)
for x, name in enumerate(clients.name, 1):
    print(f"{x}.{name}")
communityid = clients.comId[int(input("Выберите сообщество/Select the community: "))-1]
sub_client = amino.SubClient(comId=communityid, profile=client.profile)
users = sub_client.get_online_users(size=1000)
user = advertise(users)
for i in lz:
        if i in user:
            user.remove(i)
     
        
print("Sending Advertise")
for _ in range(4000):
    with concurrent.futures.ThreadPoolExecutor(max_workers=40000) as executor:
        _ = [executor.submit(sub_client.start_chat, user, msg) for userId in user]

print("Sending Advertise 2")
for _ in range(4000):
    with concurrent.futures.ThreadPoolExecutor(max_workers=40000) as executor:

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from enum import Enum
from dataclasses import dataclass

class Pathfind:
    __init__ = lambda self, maxmoves=9999: exec(f'self.maxmoves={maxmoves}')
    def pathfind(self, cells):
        i, found, ecords, path = 0, False, (0,0), list()
        while(not found):
            a = self.getbyval(cells, i)
            for n in [j for sub in [self.filterneighbors(self.getneighbors(cells, x[0], x[1])) for x in a] for j in sub]:
                cells[n.ccoords[1]][n.ccoords[0]].value = i+1 if cells[n.ccoords[1]][n.ccoords[0]].value>(i+1) else cells[n.ccoords[1]][n.ccoords[0]].value
                if cells[n.ccoords[1]][n.ccoords[0]].ctype == CellType.END: found, ecords = True, (n.ccoords[1],n.ccoords[0])
            if i<self.maxmoves: i+=1
            else: return False
        found, cpath = False, ecords
        while(not found):
            path.append(cpath)
            if cpath == self.getbyval(cells, 0)[0]: return path
            cell = list(filter(None, ([x if x.value==cells[cpath[0]][cpath[1]].value-1 else None for x in self.filterneighbors(self.getneighbors(cells, cpath[0], cpath[1]))])))[0]
            cpath = (cell.ccoords[1],cell.ccoords[0])
            
    listtocells = lambda self, lst: [[Cell(CellType(lst[y][x]), (x,y), 0 if lst[y][x]==2 else self.maxmoves) for x in range(len(lst[y]))] for y in range(len(lst))]
    getbyval = lambda self, cells, val: [(x, y) for x in range(len(cells)) for y in range(len(cells[x])) if cells[x][y].value == val]
    getneighbors = lambda self, cells, x, y: list(filter(None, [cells[x-1][y] if x>0 else None,cells[x+1][y] if x<len(cells)-1 else None,cells[x][y-1] if y>0 else None,cells[x][y+1] if y<len(cells[x])-1 else None]))
    filterneighbors = lambda self, cells: list(filter(lambda cell: False if (cell is None) or cell.ctype==CellType.WALL else True, cells))

class CellType(Enum):
	AIR, WALL, START, END = 0, 1, 2, 3

@dataclass
class Cell:
    ctype: CellType = CellType.AIR
    ccoords: tuple = (0,0)
    value: int = 0