puppeteer in typescript

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Tip Long Lemur 1 GREPCC

// install puppeteer + typescript 
npm install puppeteer
npm install -D ts-node typescript @types/puppeteer


// index.ts
import puppeteer from 'puppeteer';

(async () => {
  const browser = await puppeteer.launch();
  const page = await browser.newPage();
  await page.goto('https://example.com');
  console.log(await page.title());
  await browser.close();
})();

// run it 
npx ts-node index.ts

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// install puppeteer + typescript

npm install puppeteer

npm install -D ts-node typescript @types/puppeteer

// index.ts

import puppeteer from 'puppeteer';

(async () => {

  const browser = await puppeteer.launch();

  const page = await browser.newPage();

  await page.goto('https://example.com');

  console.log(await page.title());

  await browser.close();

})();

// run it

npx ts-node index.ts

Popularity 1/10 Helpfulness 1/10 Language typescript

Source: github.com

Tags: puppeteer typescript

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Contributed on Feb 02 2025

Long Lemur

0 Answers Avg Quality 2/10

create diagonal matrix numpy

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Tip Meppi 1 GREPCC

In [140]: np.diag(np.full(5,-2))                                                
Out[140]: 
array([[-2,  0,  0,  0,  0],
       [ 0, -2,  0,  0,  0],
       [ 0,  0, -2,  0,  0],
       [ 0,  0,  0, -2,  0],
       [ 0,  0,  0,  0, -2]])
In [141]: np.diag(np.ones(4),1)                                                 
Out[141]: 
array([[0., 1., 0., 0., 0.],
       [0., 0., 1., 0., 0.],
       [0., 0., 0., 1., 0.],
       [0., 0., 0., 0., 1.],
       [0., 0., 0., 0., 0.]])
In [142]: np.diag(np.full(5,-2))+np.diag(np.ones(4),1)+np.diag(np.ones(4),-1)   
Out[142]: 
array([[-2.,  1.,  0.,  0.,  0.],
       [ 1., -2.,  1.,  0.,  0.],
       [ 0.,  1., -2.,  1.,  0.],
       [ 0.,  0.,  1., -2.,  1.],
       [ 0.,  0.,  0.,  1., -2.]])

xxxxxxxxxx

In [140]: np.diag(np.full(5,-2))

Out[140]:

array([[-2,  0,  0,  0,  0],

       [ 0, -2,  0,  0,  0],

       [ 0,  0, -2,  0,  0],

       [ 0,  0,  0, -2,  0],

       [ 0,  0,  0,  0, -2]])

In [141]: np.diag(np.ones(4),1)

Out[141]:

array([[0., 1., 0., 0., 0.],

       [0., 0., 1., 0., 0.],

       [0., 0., 0., 1., 0.],

       [0., 0., 0., 0., 1.],

       [0., 0., 0., 0., 0.]])

In [142]: np.diag(np.full(5,-2))+np.diag(np.ones(4),1)+np.diag(np.ones(4),-1)

Out[142]:

array([[-2.,  1.,  0.,  0.,  0.],

       [ 1., -2.,  1.,  0.,  0.],

       [ 0.,  1., -2.,  1.,  0.],

       [ 0.,  0.,  1., -2.,  1.],

       [ 0.,  0.,  0.,  1., -2.]])

This code uses only numpy instead of numpy and scipy

Popularity 10/10 Helpfulness 1/10 Language python

Source: stackoverflow.com

Tags: diagonal diagona

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Contributed on Jan 30 2025

meppi

0 Answers Avg Quality 2/10

create diagonal matrix numpy

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Tip Meppi 1 GREPCC

Create a diagonal 5x5 Matrix with -2

In [140]: np.diag(np.full(5,-2))                                                
Out[140]: 
array([[-2,  0,  0,  0,  0],
       [ 0, -2,  0,  0,  0],
       [ 0,  0, -2,  0,  0],
       [ 0,  0,  0, -2,  0],
       [ 0,  0,  0,  0, -2]])
In [141]: np.diag(np.ones(4),1)                                                 
Out[141]: 
array([[0., 1., 0., 0., 0.],
       [0., 0., 1., 0., 0.],
       [0., 0., 0., 1., 0.],
       [0., 0., 0., 0., 1.],
       [0., 0., 0., 0., 0.]])
In [142]: np.diag(np.full(5,-2))+np.diag(np.ones(4),1)+np.diag(np.ones(4),-1)   
Out[142]: 
array([[-2.,  1.,  0.,  0.,  0.],
       [ 1., -2.,  1.,  0.,  0.],
       [ 0.,  1., -2.,  1.,  0.],
       [ 0.,  0.,  1., -2.,  1.],
       [ 0.,  0.,  0.,  1., -2.]])

xxxxxxxxxx

In [140]: np.diag(np.full(5,-2))

Out[140]:

array([[-2,  0,  0,  0,  0],

       [ 0, -2,  0,  0,  0],

       [ 0,  0, -2,  0,  0],

       [ 0,  0,  0, -2,  0],

       [ 0,  0,  0,  0, -2]])

In [141]: np.diag(np.ones(4),1)

Out[141]:

array([[0., 1., 0., 0., 0.],

       [0., 0., 1., 0., 0.],

       [0., 0., 0., 1., 0.],

       [0., 0., 0., 0., 1.],

       [0., 0., 0., 0., 0.]])

In [142]: np.diag(np.full(5,-2))+np.diag(np.ones(4),1)+np.diag(np.ones(4),-1)

Out[142]:

array([[-2.,  1.,  0.,  0.,  0.],

       [ 1., -2.,  1.,  0.,  0.],

       [ 0.,  1., -2.,  1.,  0.],

       [ 0.,  0.,  1., -2.,  1.],

       [ 0.,  0.,  0.,  1., -2.]])

Popularity 10/10 Helpfulness 1/10 Language python

Source: stackoverflow.com

Tags: diagonal diagona

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Contributed on Jan 30 2025

meppi

0 Answers Avg Quality 2/10

puppeteer in typescript

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