ErikAugust

#include <stdio.h>
#include <stdlib.h>
#include <stdint.h>
#ifdef _MSC_VER
#include <intrin.h> /* for rdtscp and clflush */
#pragma optimize("gt",on)
#else
#include <x86intrin.h> /* for rdtscp and clflush */
#endif

oscarmorrison

import { line, curve, curveCatmullRom } from "d3-shape";
import { scaleTime, scaleLinear } from "d3-scale";
import { axisBottom, axisLeft } from 'd3-axis';
import { timeParse, isoFormat } from "d3-time-format";
import { select } from "d3-selection";
import { extent, max, min } from "d3-array";

export default {
    line: line,
    scaleTime: scaleTime,

mbostock

license: gpl-3.0
redirect: https://observablehq.com/@d3/d3-density-contours

zmts

Про токены, JSON Web Tokens (JWT), аутентификацию и авторизацию. Token-Based Authentication

Last major update: 25.08.2020

• Что такое авторизация/аутентификация
• Где хранить токены
• Как ставить куки ?
• Процесс логина
• Процесс рефреш токенов
• Кража токенов/Механизм контроля токенов

andreibosco

Source: https://apple.stackexchange.com/questions/138941/how-do-i-stop-the-adobe-creative-cloud-app-from-auto-launching-on-login

It is loaded by default by /Library/LaunchAgents/com.adobe.AdobeCreativeCloud.plist.

If you run

launchctl unload -w /Library/LaunchAgents/com.adobe.AdobeCreativeCloud.plist

sid24rane

var net = require('net');

// creates the server
var server = net.createServer();

//emitted when server closes ...not emitted until all connections closes.
server.on('close',function(){
  console.log('Server closed !');
});

fchollet

'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats

subfuzion

Common Options

-#, --progress-bar Make curl display a simple progress bar instead of the more informational standard meter.

-b, --cookie <name=data> Supply cookie with request. If no =, then specifies the cookie file to use (see -c).

-c, --cookie-jar <file name> File to save response cookies to.

spalladino

# Backup
docker exec CONTAINER /usr/bin/mysqldump -u root --password=root DATABASE > backup.sql

# Restore
cat backup.sql | docker exec -i CONTAINER /usr/bin/mysql -u root --password=root DATABASE

vinhkhuc

# Implementation of a simple MLP network with one hidden layer. Tested on the iris data set.
# Requires: numpy, sklearn>=0.18.1, tensorflow>=1.0

# NOTE: In order to make the code simple, we rewrite x * W_1 + b_1 = x' * W_1'
# where x' = [x | 1] and W_1' is the matrix W_1 appended with a new row with elements b_1's.
# Similarly, for h * W_2 + b_2
import tensorflow as tf
import numpy as np
from sklearn import datasets
from sklearn.model_selection import train_test_split