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size = 1000 | |
tgen = zeros(1000, 1); | |
tcalc = zeros(1000, 1); | |
for i=1:1000 | |
disp(i); | |
tic; | |
A = rand(size, size); | |
B = rand(size, size); | |
tgen(i) = toc; |
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from timer import Timer | |
import numpy as np | |
#Генерация случайных массивов по 1000000 элементов | |
A = np.random.sample((1000, 1000)) | |
B = np.random.sample((1000, 1000)) | |
with Timer() as t: | |
C = A*B |
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import time | |
import numpy as np | |
#Генерация случайных массивов по 1000000 элементов | |
A = np.random.sample((1000, 1000)) | |
B = np.random.sample((1000, 1000)) | |
#Отсечка времени начала | |
start = time.time() | |
C = A*B |
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#include "stdafx.h" | |
#include "opencv2/highgui/highgui.hpp" | |
#include "opencv2/imgcodecs.hpp" | |
#include "opencv2/imgproc/imgproc.hpp" | |
#include <iostream> | |
#include <stdio.h> | |
using namespace cv; |
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#include "cuda_runtime.h" | |
#include "device_launch_parameters.h" | |
#include <stdio.h> | |
cudaError_t addWithCuda(int *c, const int *a, const int *b, unsigned int size); | |
__global__ void addKernel(int *c, const int *a, const int *b) | |
{ | |
int i = threadIdx.x; |
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from bs4 import BeautifulSoup | |
from urllib.request import urlopen | |
import threading | |
eMails = [] | |
urls = [] | |
last_urls =[] | |
def findEmail(url, TTL, mainUrl): | |
eMail = '' | |
try: | |
#Сразу отсеим ссылки на документы pdf |
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static double sqrt(double target) { | |
double l_min = 0, l_max = 1000, cur = 100; | |
double err = 0.000000000000001; | |
while ((l_max - l_min) > err) { | |
if (cur * cur > target) { | |
l_max = cur; | |
cur = (cur + l_min) / 2; | |
} else { | |
l_min = cur; | |
cur = (l_max + cur) / 2; |
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hold on | |
for dx0=-2:1:2 % Диапазон начальных значений по скорости (первой производной) | |
for x0=-5:1:5 % Диапазон начальных значений по углу | |
sim('pendulum') % Имя simulink модели | |
plot(x,dx) | |
end | |
end | |
hold off |
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#include "opencv2/highgui/highgui.hpp" | |
#include <iostream> | |
using namespace cv; | |
using namespace std; | |
int main(int argc, const char** argv) | |
{ | |
Mat img = imread("Lighthouse.jpg", CV_LOAD_IMAGE_UNCHANGED); //Незабудьте указать имя своей картинки и положить ее в папку с проектом (с файлом) | |
if (img.empty()) |
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>>> from sympy import * | |
>>> x = Symbol('x') | |
>>> y = symbols('y') | |
# Интегралы от простых функций | |
>>> integrate(7*x**6, x) | |
x**7 | |
>>> integrate(-4*x*sin(2*x**2), x) | |
cos(2*x**2) |
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