asankulov

- name: DO
  hosts: localhost
  vars:
    project_name: "PUT A NAME FOR YOUR PROJECT HERE"
    do_token: "PUT YOUR DIGITAL OCEAN API KEY HERE ==> https://cloud.digitalocean.com/settings/api/tokens"
    repository: "PUT YOUR REPOSITORY URL HERE"

  tasks:
    - name: LOCAL | Generate SSH key
      shell: ssh-keygen -b 2048 -t rsa -f ~/.ssh/{{project_name}} -q -N ""

asankulov

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman

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'''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

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var doctors = [
    { number: 1,  actor: "William Hartnell",      begin: 1963, end: 1966 },
    { number: 2,  actor: "Patrick Troughton",     begin: 1966, end: 1969 },
    { number: 3,  actor: "Jon Pertwee",           begin: 1970, end: 1974 },
    { number: 4,  actor: "Tom Baker",             begin: 1974, end: 1981 },
    { number: 5,  actor: "Peter Davison",         begin: 1982, end: 1984 },
    { number: 6,  actor: "Colin Baker",           begin: 1984, end: 1986 },
    { number: 7,  actor: "Sylvester McCoy",       begin: 1987, end: 1989 },
    { number: 8,  actor: "Paul McGann",           begin: 1996, end: 1996 },
    { number: 9,  actor: "Christopher Eccleston", begin: 2005, end: 2005 },

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FROM nginx:alpine AS builder

# nginx:alpine contains NGINX_VERSION environment variable, like so:
# ENV NGINX_VERSION 1.15.0

# Our NCHAN version
ENV NCHAN_VERSION 1.1.15

# Download sources
RUN wget "http://nginx.org/download/nginx-${NGINX_VERSION}.tar.gz" -O nginx.tar.gz && \

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Prepare files & libraries

1. Download selenium standalone server from: http://goo.gl/rQhaxb, Create local folder at ~/selenium and copy or move jar to that path:

$ mkdir ~/selenium
$ cd ~/selenium
$ wget http://goo.gl/rQhaxb
$ mv selenium-server-standalone-2.49.1.jar ~/selenium/

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"use strict"

const express = require('express')
const graphqlHTTP = require('express-graphql')
const {  parse, print, visit, parseValue, printSchema, buildSchema } = require('graphql')
const app = express()
const util = require('util')
const graphqlTools = require('graphql-tools');

const rawSchema =`

asankulov

Sort object properties by value (values are text)

I have following object:

var cities={10:'Tashkent', 14:'Karakalpakiya', 16:'Andijan'};

I want sort it by city names, so after sort it should be:

var cities={16:'Andijan', 14:'Karakalpakiya', 10:'Tashkent'};

But I can't sort object properties, instead can convert object into array, then sort items.

asankulov

// $ 6g echo.go && 6l -o echo echo.6
// $ ./echo
//
//  ~ in another terminal ~
//
// $ nc localhost 3540

package main

import (

asankulov

package main

import (
	"bufio"
	"fmt"
	"net"
)

func check(err error, message string) {
	if err != nil {