smoothdvd

# Author: Abhinay Omkar
# Youtube Downloader
import sys
from urllib import urlopen, unquote
from urlparse import parse_qs, urlparse

youtube_watchurl = sys.argv[1]
url_query = urlparse(youtube_watchurl).query
video_id = parse_qs(url_query)['v'][0]
url_data = urlopen('http://www.youtube.com/get_video_info?&video_id=' + video_id).read()

smoothdvd

# Author: Abhinay Omkar
# Youtube Downloader
# Modifier: Alex Gao
# Youtube now uses cookies to verify download

import sys
from urllib2 import urlopen, unquote
from urlparse import parse_qs, urlparse
import requests

smoothdvd

  # Based on https://gist.github.com/1182136
  class BootstrapLinkRenderer < ::WillPaginate::ActionView::LinkRenderer
    protected

    def html_container(html)
      tag :div, tag(:ul, html), container_attributes
    end

    def page_number(page)
      tag :li, link(page, page, :rel => rel_value(page)), :class => ('active' if page == current_page)

smoothdvd

require 'nokogiri'
require 'capybara'
require 'capybara/poltergeist'
class Hoge

  def self.scrape_include_js_contents
    #poltergistの設定
    Capybara.register_driver :poltergeist do |app|
      Capybara::Poltergeist::Driver.new(app, {:js_errors => true }) #追加のオプションはググってくださいw
    end

smoothdvd

    /**
     * Check the device to make sure it has the Google Play Services APK. If
     * it doesn't, display a dialog that allows users to download the APK from
     * the Google Play Store or enable it in the device's system settings.
     */
    private boolean checkPlayServices() {
        GoogleApiAvailability apiAvailability = GoogleApiAvailability.getInstance();
        int resultCode = apiAvailability.isGooglePlayServicesAvailable(this);
        if (resultCode != ConnectionResult.SUCCESS) {
            if (apiAvailability.isUserResolvableError(resultCode)) {

smoothdvd

for image_path in TEST_IMAGE_PATHS:
  image = Image.open(image_path)
  # the array based representation of the image will be used later in order to prepare the
  # result image with boxes and labels on it.
  image_np = load_image_into_numpy_array(image)
  # Expand dimensions since the model expects images to have shape: [1, None, None, 3]
  image_np_expanded = np.expand_dims(image_np, axis=0)
  # Actual detection.
  output_dict = run_inference_for_single_image(image_np, detection_graph)
  # Visualization of the results of a detection.

smoothdvd

FROM ubuntu

RUN apt-get update \
  && apt-get install -y --no-install-recommends \
  ca-certificates \
  && rm -rf /var/lib/apt/lists/*

smoothdvd

{
  ...
  "attributes": {
    "effective_range": {
      "type": "string",
      "columnType": {
        "type": "specificType",
        "args": [
          "tstzrange"
        ]

smoothdvd

'use strict';

module.exports = require('./server');

smoothdvd

'use strict';

const register = require('@strapi/plugin-users-permissions/server/register');
const bootstrap = require('./bootstrap');
const contentTypes = require('@strapi/plugin-users-permissions/server/content-types');
const middlewares = require('@strapi/plugin-users-permissions/server/middlewares');
const services = require('./services');
const routes = require('@strapi/plugin-users-permissions/server/routes');
const controllers = require('@strapi/plugin-users-permissions/server/controllers');
const config = require('@strapi/plugin-users-permissions/server/config');