Leva-kleva

SELECT *
FROM learnsql_employees;

Leva-kleva

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from matplotlib.ticker import LinearLocator, FormatStrFormatter
import numpy as np


'''
инициализируем границы
и другие постоянные
'''

Leva-kleva

# -*- coding: utf-8 -*-


import numpy as np
import matplotlib.pyplot as plt


def CharacteristicX(x0, t):
    a = 2+np.cos(np.cos(np.pi*x0/2))
    b = 1+(1+2*np.cos(np.pi*x0/2)+np.sin(np.cos(np.pi*x0/2)))**2

Leva-kleva

# -*- coding: utf-8 -*-


from random import random
from math import log


def main() :
    lmbd = float(input())
    eto = random()

Leva-kleva

import pycuda.driver as cuda
import pycuda.autoinit
from pycuda.compiler import SourceModule
import numpy as np
import matplotlib.pyplot as plt
from time import time
import math as m

sigma = 1/10
mu = 0.5

Leva-kleva

import numpy as np
from random import uniform
import math as m
import matplotlib.pyplot as plt

'''constants'''
delta = 1.758820149*10**11 #q/m
pi = m.pi
e0 = 8.854184817*10**-12
sigma = 1/10

Leva-kleva

SELECT
	t6.quest,
	t6.conv_proh
FROM
	(
	SELECT
		t5.quest,
		t5.cnt_game,
		t5.cnt_start,
		(t5.cnt_start*1.0 / t5.cnt_game*1.0)*100 as conv_game,

Leva-kleva

from math import pi
import numpy as np
import matplotlib.pyplot as plt

n = int(input())

##generation
x = np.arange(0, 2*pi+0.1, 0.1)
array = [np.cos(i*x).tolist() for i in range(1, n+1, 1) ]
x = x.tolist()

Leva-kleva

import requests  

class BotHandler:
    def __init__(self, token):
        self.token = token
        self.api_url = "https://api.telegram.org/bot{}/".format(token)

    def set_webhook(self):
        method = "setwebhook"
        params = {"url": }

Leva-kleva

#include <iostream>
#include <fstream>
#include <cmath>

using namespace std;

double g = 9.8, R, p0, p, z0, v0 = 0, t, eps;

double func(double z)
{