11. Assembler directives¶
11.1. Labels¶
label(INNER1)
This defines a label for use in a branch instruction. Thus elsewhere in the code a b(INNER1)
will cause execution to continue with the instruction after the label directive.
11.2. Defining inline data¶
The following assembler directives facilitate embedding data in an assembler code block.
data(size, d0, d1 .. dn)
The data directive creates n array of data values in memory. The first argument specifies the size in bytes of the subsequent arguments. Hence the first statement below will cause the assembler to put three bytes (with values 2, 3 and 4) into consecutive memory locations while the second will cause it to emit two four byte words.
data(1, 2, 3, 4)
data(4, 2, 100000)
Data values longer than a single byte are stored in memory in little-endian format.
align(nBytes)
Align the following instruction to an nBytes value. ARM Thumb-2 instructions must be two
byte aligned, hence it’s advisable to issue align(2)
after data
directives and
prior to any subsequent code. This ensures that the code will run irrespective of the
size of the data array.


All BCIT campuses are OPEN today, March 8. All classes and exams will proceed as scheduled. Due to inclement road conditions, we recommend allocating extra time for your commute, wearing appropriate winter apparel and footwear, and taking extra caution on roads, stairs, and walkways. BCIT staff and our snow removal contractors are working hard to clear campus walkways and parking lots. For your safety, please stick to cleared and salted pathways on campus whenever possible.
All BCIT campuses are OPEN today, March 8. All classes and exams will proceed as scheduled. Due to inclement road conditions, we recommend allocating extra time for your commute, wearing appropriate winter apparel and footwear, and taking extra caution on roads, stairs, and walkways. BCIT staff and our snow removal contractors are working hard to clear campus walkways and parking lots. For your safety, please stick to cleared and salted pathways on campus whenever possible.
All BCIT campuses are OPEN today, March 8. All classes and exams will proceed as scheduled. Due to inclement road conditions, we recommend allocating extra time for your commute, wearing appropriate winter apparel and footwear, and taking extra caution on roads, stairs, and walkways. BCIT staff and our snow removal contractors are working hard to clear campus walkways and parking lots. For your safety, please stick to cleared and salted pathways on campus whenever possible.
All BCIT campuses are OPEN today, March 8. All classes and exams will proceed as scheduled. Due to inclement road conditions, we recommend allocating extra time for your commute, wearing appropriate winter apparel and footwear, and taking extra caution on roads, stairs, and walkways. BCIT staff and our snow removal contractors are working hard to clear campus walkways and parking lots. For your safety, please stick to cleared and salted pathways on campus whenever possible.
All BCIT campuses are OPEN today, March 8. All classes and exams will proceed as scheduled. Due to inclement road conditions, we recommend allocating extra time for your commute, wearing appropriate winter apparel and footwear, and taking extra caution on roads, stairs, and walkways. BCIT staff and our snow removal contractors are working hard to clear campus walkways and parking lots. For your safety, please stick to cleared and salted pathways on campus whenever possible.


Objectively disintermediate B2B action items vis-a-vis backward-compatible methods of empowerment. Dynamically disseminate just in time growth strategies after scalable convergence. Continually mesh wireless value through tactical initiatives. Progressively leverage existing one-to-one process improvements whereas corporate niches. Authoritatively aggregate superior products without progressive content. Credibly provide access to high-payoff deliverables with highly efficient vortals. Authoritatively revolutionize interoperable internal or "organic" sources before visionary partnerships. Seamlessly formulate global initiatives without cross functional applications. Authoritatively expedite collaborative markets rather than maintainable methodologies. Progressively parallel task market-driven expertise for emerging initiatives. Completely administrate value-added process improvements via reliable web services. Authoritatively underwhelm functional mindshare via distinctive partnerships. Competently initiate customer directed relationships after future-proof initiatives. Professionally revolutionize low-risk high-yield opportunities for frictionless e-commerce. Intrinsicly visualize wireless total linkage and collaborative data. Credibly unleash parallel growth strategies before business partnerships. Energistically extend principle-centered mindshare for team building initiatives. Monotonectally pursue 24/7 supply chains after stand-alone manufactured products. Synergistically maintain clicks-and-mortar information through innovative convergence. Dramatically deploy plug-and-play platforms after orthogonal scenarios. Energistically supply customized benefits with parallel potentialities. Collaboratively initiate prospective vortals rather than stand-alone deliverables. Energistically parallel task leading-edge methodologies after one-to-one bandwidth. Globally extend emerging communities and mission-critical ROI.
The quick brown fox jumped over the lazy dogs.
The quick brown fox jumped over the lazy dogs. The quick brown fox jumped over the lazy dogs. The quick brown fox jumped over the lazy dogs. The quick brown fox jumped over the lazy dogs. The quick brown fox jumped over the lazy dogs. The quick brown fox jumped over the lazy dogs.


“Your dream, Our Morale”
We SAAKAR, that is probably conjugated with dreams.       We SAAKAR, Actualize your dream and achieved an accolade. We SAAKAR, Realize our ideas must be substantiated into actions.
CEO & Founder, Saakar Studio
Education: Government Diploma in Applied Art.
From: Abhinav Kala Mahavidyalaya.
Pune
Be it a wedding, an engagement, a proposal, welcoming a new member to the family, or a kids first birthday party, people always prefer sharing these important personal and candid moments with someone who understands them and who they can share a good comfort level with. Enter Fotowalle, who create a hassle and stress free vibe during shoots to ensure their subjects are at their natural best, which is also the key to their style of creative and candid photography.
“The word Saakar is the actual come from
Sa-Aakar.
Sa : with
Aakar : From ”
This is same spirit and philosophy the extended team of Fotowalle also imbibes. For us, its not just a photo assignment that we take on, infact we are respectful to the fact that people welcome us into their families and homes across the country. Nothing brings us more joy than spreading the love, capturing people at the peak of their emotions and transforming their life’s stories into art…
I’m a freelance photographer specializing in landscape, advertorial and conceptual photography, based in New York. I love to turn ideas into beautiful things.
I have completed Diploma in Applied Art with specialisation in photography.We are beliving in inovation.We create our own craft for Photography.
Photoshop
Final Cut
Photography
60
35
40
0
Saakar eco fashion is made out of different handmade paper's which have its ...
Saakar studio got featured in the femina magzine by a times of india publication for its eco-fashion dress'es
Read more More Work Here© 2018 Zen-hi Tech Solutions . All Rights Reserved | Design and Developed by Shreyash Itankar


vEwe is as much a set of conventions as it is a library. The following examples highlight how vEwe can be used effectively.


{% load staticfiles %}
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% include partials/head.html %>
<% include partials/navigation.html %>Lorem ipsum dolor sit amet consectetur adipisicing elit. Tempora accusantium error, architecto itaque laborum eum, saepe distinctio eos ducimus officiis qui libero harum a possimus. Voluptatibus quia cum optio necessitatibus.
This is a longer card with supporting text below as a natural lead-in to additional content. This content is a little bit longer.
This is a longer card with supporting text below as a natural lead-in to additional content. This content is a little bit longer.
This is a longer card with supporting text below as a natural lead-in to additional content.
This is a longer card with supporting text below as a natural lead-in to additional content. This content is a little bit longer.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Tempora accusantium error, architecto itaque laborum eum, saepe distinctio eos ducimus officiis qui libero harum a possimus. Voluptatibus quia cum optio necessitatibus.
This is a longer card with supporting text below as a natural lead-in to additional content. This content is a little bit longer.
This is a longer card with supporting text below as a natural lead-in to additional content. This content is a little bit longer.
This is a longer card with supporting text below as a natural lead-in to additional content.
This is a longer card with supporting text below as a natural lead-in to additional content. This content is a little bit longer.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Tempora accusantium error, architecto itaque laborum eum, saepe distinctio eos ducimus officiis qui libero harum a possimus. Voluptatibus quia cum optio necessitatibus.
This is a longer card with supporting text below as a natural lead-in to additional content. This content is a little bit longer.
This is a longer card with supporting text below as a natural lead-in to additional content. This content is a little bit longer.
This is a longer card with supporting text below as a natural lead-in to additional content.
This is a longer card with supporting text below as a natural lead-in to additional content. This content is a little bit longer.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Tempora accusantium error, architecto itaque laborum eum, saepe distinctio eos ducimus officiis qui libero harum a possimus. Voluptatibus quia cum optio necessitatibus.
This is a longer card with supporting text below as a natural lead-in to additional content. This content is a little bit longer.
This is a longer card with supporting text below as a natural lead-in to additional content. This content is a little bit longer.
This is a longer card with supporting text below as a natural lead-in to additional content.
This is a longer card with supporting text below as a natural lead-in to additional content. This content is a little bit longer.


DbScriptDeploy
A tool for migrating SQL scripts
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The is display Property
converted into inline
Default Button
Link Button
Button
Hi
Hi
Hi
It is a Link
It is a Visited Link
It is a Mouse Over Link
It is a Active Link
Python
Django
REST API
Python
Django
REST API
Welcome to Ui
Welcome to UI
Welcome to UI
Welcome to HTML


compile(compiler: ViewCompiler, resources: ViewResources, node: Node, instruction: BehaviorInstruction, parentNode?: Node): Node
Plugs into the compiler and enables custom processing of the node on which this behavior is located.
Parameters
compiler: ViewCompiler
The compiler that is currently compiling the view that this behavior exists within.
resources: ViewResources
The resources for the view that this behavior exists within.
node: Node
The node on which this behavior exists.
instruction: BehaviorInstruction
The behavior instruction created for this behavior.
parentNode?: Node
The parent node of the current node.
Returns
The current node.


{% extends 'emails/base.html' %} {% block content %}
Hello,
Congratulations on submitting your applications to clubs this recruitment cycle! Please fill out this short survey to share how the process is going so far.
Good luck,
Wharton Council & Penn Clubs
{% endblock %}


Welcome to the Ticketing System
Our ticketing system offers many features that will allow you to perform all the operations that are relevant to your role in the system.
Using the menu on the left, you can perform the operations you want:
➤ View and edit your account information, or delete it if necessary.
➤ Dashboard for resolve tickets


Up 1 | Down 1 | Left 1 | Right 1
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New Box | Close | To author's projects page


All Files (100.0% covered at 1.74 hits/line)
27 files in total.
215 relevant lines.
215 lines covered and
0 lines missed
- 1
class ApplicationController < ActionController::Base
# Prevent CSRF attacks by raising an exception.
# For APIs, you may want to use :null_session instead.
- 1
protect_from_forgery with: :exception
end
- 1
class ChoicesController < ApplicationController
- 1
before_action :set_choice, only: [:show, :edit, :update, :destroy]
# GET /choices
# GET /choices.json
- 1
def index
- 3
@new_comment = Comment.new
- 3
@choices = Choice.all
end
# GET /choices/1
# GET /choices/1.json
- 1
def show
- 12
@new_comment = Comment.new
end
# GET /choices/new
- 1
def new
- 2
@choice = Choice.new
end
# GET /choices/1/edit
- 1
def edit
end
# POST /choices
# POST /choices.json
- 1
def create
- 2
@choice = Choice.new(choice_params)
- 2
respond_to do |format|
- 2
if @choice.save
- 2
format.html { redirect_to @choice, notice: 'Choice was successfully created.' }
- 1
format.json { render :show, status: :created, location: @choice }
- 1
format.js
else
- 2
format.html { render :new }
- 1
format.json { render json: @choice.errors, status: :unprocessable_entity }
- 1
format.js
end
end
end
# PATCH/PUT /choices/1
# PATCH/PUT /choices/1.json
- 1
def update
- 2
params[:choice][:option_a_votes] = @choice.option_a_votes + params[:choice][:option_a_votes].to_i
- 2
params[:choice][:option_b_votes] = @choice.option_b_votes + params[:choice][:option_b_votes].to_i
- 2
respond_to do |format|
- 2
if @choice.update(choice_params)
- 2
format.html { redirect_to @choice, notice: 'Choice was successfully updated.' }
- 1
format.json { render :show, status: :ok, location: @choice }
- 1
format.js
else
- 2
format.html { render :edit }
- 1
format.json { render json: @choice.errors, status: :unprocessable_entity }
- 1
format.js
end
end
end
# DELETE /choices/1
# DELETE /choices/1.json
- 1
def destroy
- 1
@choice.destroy
- 1
respond_to do |format|
- 2
format.html { redirect_to choices_url, notice: 'Choice was successfully destroyed.' }
- 1
format.json { head :no_content }
- 1
format.js { redirect_to choices_url }
end
end
- 1
private
# Use callbacks to share common setup or constraints between actions.
- 1
def set_choice
- 17
@choice = Choice.find(params[:id])
end
# Never trust parameters from the scary internet, only allow the white list through.
- 1
def choice_params
- 4
params.require(:choice).permit(:option, :option_a, :option_b, :option_a_image, :option_b_image, :option_a_votes, :option_b_votes)
end
end
- 1
class CommentsController < ApplicationController
- 1
before_action :set_choice, only: [:show, :create]
- 1
def create
- 2
@comment = @choice.comments.new(comment_params)
- 2
respond_to do |format|
- 2
if @comment.save
- 1
format.html { redirect_to choices_path, notice: 'Comment was successfully created.' }
- 1
format.js
else
- 1
format.html { redirect_to choices_path, notice: 'Comment creation failed.' }
- 1
format.js
end
end
end
- 1
private
# Use callbacks to share common setup or constraints between actions.
- 1
def set_choice
- 2
@choice = Choice.find(params[:choice_id])
end
# Never trust parameters from the scary internet, only allow the white list through.
- 1
def comment_params
- 2
params.require(:comment).permit(:text)
end
end
- 1
module ApplicationHelper
- 1
def human_date(artime)
- 1
t = artime.to_time
- 1
return t.localtime.strftime("%b. %d")
end
- 1
def human_time(artime)
- 2
t = artime.to_time
- 2
return t.localtime.strftime("%I:%M %p")
end
end
- 1
module ChoicesHelper
end
- 1
module CommentHelper
end
- 1
class Choice < ActiveRecord::Base
- 1
has_many :comments
- 1
validates :option, presence: true
- 1
validates :option_a, presence: true
- 1
validates :option_b, presence: true
end
- 1
class Comment < ActiveRecord::Base
- 1
belongs_to :choice
- 1
validates :text, presence: true
- 1
validates :choice_id, presence: true
- 73
default_scope { order('created_at DESC') }
end
- 1
require File.expand_path('../boot', __FILE__)
- 1
require "rails"
# Pick the frameworks you want:
- 1
require "active_model/railtie"
- 1
require "active_job/railtie"
- 1
require "active_record/railtie"
- 1
require "action_controller/railtie"
- 1
require "action_mailer/railtie"
- 1
require "action_view/railtie"
- 1
require "sprockets/railtie"
# require "rails/test_unit/railtie"
# Require the gems listed in Gemfile, including any gems
# you've limited to :test, :development, or :production.
- 1
Bundler.require(*Rails.groups)
- 1
module WouldYouRather
- 1
class Application < Rails::Application
# Settings in config/environments/* take precedence over those specified here.
# Application configuration should go into files in config/initializers
# -- all .rb files in that directory are automatically loaded.
# Set Time.zone default to the specified zone and make Active Record auto-convert to this zone.
# Run "rake -D time" for a list of tasks for finding time zone names. Default is UTC.
# config.time_zone = 'Central Time (US & Canada)'
# The default locale is :en and all translations from config/locales/*.rb,yml are auto loaded.
# config.i18n.load_path += Dir[Rails.root.join('my', 'locales', '*.{rb,yml}').to_s]
# config.i18n.default_locale = :de
# Do not swallow errors in after_commit/after_rollback callbacks.
- 1
config.active_record.raise_in_transactional_callbacks = true
end
end
- 1
ENV['BUNDLE_GEMFILE'] ||= File.expand_path('../../Gemfile', __FILE__)
- 1
require 'bundler/setup' # Set up gems listed in the Gemfile.
# Load the Rails application.
- 1
require File.expand_path('../application', __FILE__)
# Initialize the Rails application.
- 1
Rails.application.initialize!
- 1
Rails.application.configure do
# Settings specified here will take precedence over those in config/application.rb.
# The test environment is used exclusively to run your application's
# test suite. You never need to work with it otherwise. Remember that
# your test database is "scratch space" for the test suite and is wiped
# and recreated between test runs. Don't rely on the data there!
- 1
config.cache_classes = true
# Do not eager load code on boot. This avoids loading your whole application
# just for the purpose of running a single test. If you are using a tool that
# preloads Rails for running tests, you may have to set it to true.
- 1
config.eager_load = false
# Configure static file server for tests with Cache-Control for performance.
- 1
config.serve_static_files = true
- 1
config.static_cache_control = 'public, max-age=3600'
# Show full error reports and disable caching.
- 1
config.consider_all_requests_local = true
- 1
config.action_controller.perform_caching = false
# Raise exceptions instead of rendering exception templates.
- 1
config.action_dispatch.show_exceptions = false
# Disable request forgery protection in test environment.
- 1
config.action_controller.allow_forgery_protection = false
# Tell Action Mailer not to deliver emails to the real world.
# The :test delivery method accumulates sent emails in the
# ActionMailer::Base.deliveries array.
- 1
config.action_mailer.delivery_method = :test
# Randomize the order test cases are executed.
- 1
config.active_support.test_order = :random
# Print deprecation notices to the stderr.
- 1
config.active_support.deprecation = :stderr
# Raises error for missing translations
# config.action_view.raise_on_missing_translations = true
end
# Be sure to restart your server when you modify this file.
# Version of your assets, change this if you want to expire all your assets.
- 1
Rails.application.config.assets.version = '1.0'
# Add additional assets to the asset load path
# Rails.application.config.assets.paths << Emoji.images_path
# Precompile additional assets.
# application.js, application.css, and all non-JS/CSS in app/assets folder are already added.
# Rails.application.config.assets.precompile += %w( search.js )
# Be sure to restart your server when you modify this file.
# You can add backtrace silencers for libraries that you're using but don't wish to see in your backtraces.
# Rails.backtrace_cleaner.add_silencer { |line| line =~ /my_noisy_library/ }
# You can also remove all the silencers if you're trying to debug a problem that might stem from framework code.
# Rails.backtrace_cleaner.remove_silencers!
# Be sure to restart your server when you modify this file.
- 1
Rails.application.config.action_dispatch.cookies_serializer = :json
# Be sure to restart your server when you modify this file.
# Configure sensitive parameters which will be filtered from the log file.
- 1
Rails.application.config.filter_parameters += [:password]
# Be sure to restart your server when you modify this file.
# Add new inflection rules using the following format. Inflections
# are locale specific, and you may define rules for as many different
# locales as you wish. All of these examples are active by default:
# ActiveSupport::Inflector.inflections(:en) do |inflect|
# inflect.plural /^(ox)$/i, '\1en'
# inflect.singular /^(ox)en/i, '\1'
# inflect.irregular 'person', 'people'
# inflect.uncountable %w( fish sheep )
# end
# These inflection rules are supported but not enabled by default:
# ActiveSupport::Inflector.inflections(:en) do |inflect|
# inflect.acronym 'RESTful'
# end
# Be sure to restart your server when you modify this file.
# Add new mime types for use in respond_to blocks:
# Mime::Type.register "text/richtext", :rtf
# Be sure to restart your server when you modify this file.
- 1
Rails.application.config.session_store :cookie_store, key: '_would_you_rather_session'
# Be sure to restart your server when you modify this file.
# This file contains settings for ActionController::ParamsWrapper which
# is enabled by default.
# Enable parameter wrapping for JSON. You can disable this by setting :format to an empty array.
- 1
ActiveSupport.on_load(:action_controller) do
- 1
wrap_parameters format: [:json] if respond_to?(:wrap_parameters)
end
# To enable root element in JSON for ActiveRecord objects.
# ActiveSupport.on_load(:active_record) do
# self.include_root_in_json = true
# end
- 1
Rails.application.routes.draw do
- 1
root to: 'choices#index'
- 1
resources :choices do
- 1
resources :comments
end
end
- 1
require 'rails_helper'
- 1
describe "the add a choice process" do
- 1
it "should add a choice" do
- 1
visit new_choice_path
- 1
fill_in "Option", with: "Would you rather code in"
- 1
fill_in "Option a", with: "Ruby"
- 1
fill_in "Option b", with: "Javascript"
- 1
click_on 'Create Choice'
- 1
expect(page).to have_content("Javascript") && have_content("Ruby")
end
- 1
it "should fail to add a choice given insufficient input" do
- 1
visit new_choice_path
- 1
fill_in "Option", with: ""
- 1
fill_in "Option a", with: "Ruby"
- 1
fill_in "Option b", with: "Javascript"
- 1
click_on 'Create Choice'
- 1
expect(page).to have_content("error")
end
end
- 1
describe "view choices" do
- 1
it "should show a single choice" do
- 1
choice_one = Choice.create({ option: "Would you rather", option_a: "this", option_b: "that" })
- 1
visit choice_path(choice_one)
- 1
expect(page).to have_content("Would you rather")
end
- 1
it "should show a list of choices" do
- 1
choice_one = Choice.create({ option: "Would you rather", option_a: "this", option_b: "that" })
- 1
choice_two = Choice.create({ option: "Would you prefer", option_a: "that", option_b: "this" })
- 1
visit choices_path
- 1
expect(page).to have_content("Would you rather") && have_content("Would you prefer")
end
end
- 1
describe "destroy choice" do
- 1
it "should delete the choice" do
- 1
choice_one = Choice.create({ option: "Would you like to", option_a: "this", option_b: "that" })
- 1
visit choice_path(choice_one)
- 1
click_on "Menu"
- 1
click_on "Delete this Choice"
- 1
expect(page).to_not have_content("Would you like to")
end
end
- 1
describe "edit choices" do
- 1
it "should change the values of a choice" do
- 1
choice_one = Choice.create({ option: "Would you like to", option_a: "this", option_b: "that" })
- 1
visit edit_choice_path(choice_one)
- 1
fill_in "Option", with: "Would you rather code in"
- 1
fill_in "Option a", with: "Ruby"
- 1
fill_in "Option b", with: "Javascript"
- 1
click_on 'Update Choice'
- 1
expect(page).to have_content("Javascript") && have_content("Ruby")
end
- 1
it "should fail to change the values of a choice given bad input" do
- 1
choice_one = Choice.create({ option: "Would you like to", option_a: "this", option_b: "that" })
- 1
visit edit_choice_path(choice_one)
- 1
fill_in "Option", with: ""
- 1
fill_in "Option a", with: "Ruby"
- 1
fill_in "Option b", with: "Javascript"
- 1
click_on 'Update Choice'
- 1
expect(page).to have_content("error")
end
end
- 1
require 'rails_helper'
- 1
describe "the add a comment process" do
- 1
it "should add a comment" do
- 1
choice_one = Choice.create({ option: "Would you rather", option_a: "this", option_b: "that" })
- 1
visit choice_path(choice_one)
- 1
fill_in "Text", with: "This is a comment"
- 1
click_on 'Comment'
- 1
expect(page).to have_content("This is a comment")
end
- 1
it "should fail to add an empty comment" do
- 1
choice_one = Choice.create({ option: "Would you rather", option_a: "this", option_b: "that" })
- 1
visit choice_path(choice_one)
- 1
fill_in "Text", with: ""
- 1
click_on 'Comment'
- 1
expect(page).to have_content("error")
end
end
- 1
require 'rails_helper'
- 1
include ApplicationHelper
- 1
describe '.human_date' do
- 1
it 'should convert a timestamp to a friendly date' do
- 1
timestamp = Time.new(2015, 7, 14).getutc
- 1
expect(human_date(timestamp)).to eq("Jul. 14")
end
end
- 1
describe '.human_time' do
- 1
it 'should convert a timestamp to a friendly time' do
- 1
timestamp = Time.new(2015, 7, 14).getutc
- 1
expect(human_time(timestamp)).to eq("12:00 AM")
end
end
- 1
require 'rails_helper'
- 1
describe Choice do
- 2
it { should validate_presence_of :option }
- 2
it { should validate_presence_of :option_a }
- 2
it { should validate_presence_of :option_b }
- 2
it { should have_many :comments }
end
- 1
require 'rails_helper'
- 1
describe Comment do
- 2
it { should validate_presence_of :text }
end
# This file is copied to spec/ when you run 'rails generate rspec:install'
- 1
ENV['RAILS_ENV'] ||= 'test'
- 1
require File.expand_path('../../config/environment', __FILE__)
# Prevent database truncation if the environment is production
- 1
abort("The Rails environment is running in production mode!") if Rails.env.production?
- 1
require 'spec_helper'
- 1
require 'rspec/rails'
- 1
require 'capybara/rails'
- 1
ActiveRecord::Migration.maintain_test_schema!
- 1
RSpec.configure do |config|
# Remove this line if you're not using ActiveRecord or ActiveRecord fixtures
- 1
config.fixture_path = "#{::Rails.root}/spec/fixtures"
- 1
config.before(:suite) do
- 1
DatabaseCleaner.strategy = :truncation
end
- 1
config.around(:each) do |example|
- 16
DatabaseCleaner.cleaning do
- 16
example.run
end
end
- 1
config.infer_spec_type_from_file_location!
end


- fetch() - Method in class org.judal.storage.query.relational.AbstractRelationalQuery
-
- fetch(AbstractQuery) - Method in interface org.judal.storage.relational.RelationalView
-
Fetch records.
- fetch(int, int, Param...) - Method in class org.judal.storage.table.AbstractIndexableTableOperation
-
Fetch records.
- fetch(FetchGroup, String, Object) - Method in class org.judal.storage.table.AbstractTableOperation
-
Fetch records which contain a certain value at a given column.
- fetch(FetchGroup, int, int, Param...) - Method in interface org.judal.storage.table.IndexableView
-
Fetch records which columns contain a given set of values.
- fetch(FetchGroup, String, Object) - Method in interface org.judal.storage.table.View
-
- fetch(FetchGroup, String, Object, int, int) - Method in interface org.judal.storage.table.View
-
- fetch(FetchGroup, String, Object, Object) - Method in interface org.judal.storage.table.View
-
- fetch(FetchGroup, String, Object, Object, int, int) - Method in interface org.judal.storage.table.View
-
- fetchAsc(FetchGroup, String, Object, String) - Method in class org.judal.storage.table.AbstractTableOperation
-
Fetch records which contain a certain value at a given column and return results sorted in ascending order.
- fetchDesc(FetchGroup, String, Object, String) - Method in class org.judal.storage.table.AbstractTableOperation
-
Fetch records which contain a certain value at a given column and return results sorted in descending order.
- fetchGroup() - Method in class org.judal.storage.table.AbstractTableOperation
-
- fetchGroup() - Method in class org.judal.storage.table.impl.AbstractRecord
-
Get list of columns that must be fetched for this Record.
- fetchGroup() - Method in class org.judal.storage.table.impl.AbstractSingleColumnRecord
-
- fetchGroup() - Method in class org.judal.storage.table.JDOPersistenceCapable
-
- fetchGroup() - Method in interface org.judal.storage.table.Record
-
Get list of columns that must be fetched for this Record.
- FieldDef - Class in org.judal.metadata
-
JDO FieldMetadata interface implementation
- FieldDef() - Constructor for class org.judal.metadata.FieldDef
-
- FieldDef(FieldDef) - Constructor for class org.judal.metadata.FieldDef
-
- FieldHelper - Interface in org.judal.storage
-
Interface for adaptors of non-standard field types.
- filter(Object) - Method in class org.judal.storage.table.impl.ArrayListRecordSet
-
Get sublist of results that match a given predicate.
- filter(Object) - Method in interface org.judal.storage.table.RecordSet
-
Return a list of all the Record elements for which the given Predicate evaluates to true.
- filterColumns(String[]) - Method in class org.judal.metadata.BaseDef
-
Filter columns with given names.
- findFirst(String, Object) - Method in class org.judal.storage.table.impl.ArrayListRecordSet
-
Find first result in this RecordSet which columnName contains the given value.
- findFirst(String, Object) - Method in interface org.judal.storage.table.RecordSet
-
Find the first row which value at columnName is equal to the given value
- ForeignKeyChecker - Interface in org.judal.storage
-
Interface for foreign key checkers.
- ForeignKeyDef - Class in org.judal.metadata
-
JDO ForeignKeyMetadata interface implementation
- ForeignKeyDef() - Constructor for class org.judal.metadata.ForeignKeyDef
-
- forget(Xid) - Method in class org.judal.transaction.TransactionalResource
-


noun
AJAX (Asynchronous JavaScript And XML) is a programming practice of combining HTML, CSS, JavaScript, the DOM, and the XMLHttpRequest object to build complex webpages that update dynamically without entirely reloading.
AJAX
/'ā,əjaks/
noun
AJAX (Asynchronous JavaScript And XML) is a programming practice of combining HTML, CSS, JavaScript, the DOM, and the XMLHttpRequest object to build complex webpages that update dynamically without entirely reloading.


This page demonstrates how to sign EIP712 typed data using MetaMask and verify it in Solidity. Feel free to learn from it and adapt it for your dApp and smart contracts.
Thank you to Christoph Mussenbrock for Solidity 0.5.0 and variable chain ID support, Dan Finlay for EIP1102 support, and Kieran Mesquita for EIP1193 support.
To use this demo, you need at least version 4.14.0 of MetaMask which supports eth_signTypedData_v3.
Next, copy and paste this into Remix, deploy it in the Javascript VM environment, and run the verify function.
The signature generated by MetaMask, as well as your wallet address, has been inserted into the Solidity code above. The code hashes the data you just signed, runs ecrecover with your signature, and compares it with your wallet address.
If Remix displays
0: bool: truethat's great! Your wallet address was successfully authenticated against the signature.
An example:


MB Co, App Development
Hello visitors, welcome to MB Co's mobile app portfolio. Currently my apps are Android only but I am hoping to break into iOS soon.
Click the links to download, share and enjoy!
Apps on Google Play
Self Hosted Apps (Manual Install)
Below is a link on how to install 3rd Party APK's.
https://www.cnet.com/how-to/how-to-install-apps-outside-of-google-play/


The Favored Player List is a list of your favored players, typically your own accounts (including all
if you have multiple accounts or if you play on multiple regions).
When you open or rename a replay, the
Replay Processor
rearranges
players and their teams so that favored players (and their teams) are put ahead of others and therefore always displayed / listed first.
The
Replay list
table can also color rows based on match result of favored players.
Players are identified by a text referred to as the Toon which contains numbers that uniquely identify an account, realm and region.
Note: The player name is
not part of the
toon therefore if you use the
Name change feature of
Battle.net your
toon remains the same. But arbitrary you can, and it's recommended to append the player name to the end of the
toon separated with a dash character (
'-'
) so you will remember who that
toon belongs to, for example:
2-S2-1-206154-DakotaFannin
The favored player list is specified by a
comma separated toon list
.
Tip: You can edit the favored player list manually or you can add / remove players from the Player menu by clicking on the
Add to the Favored Player list or Remove from the Favored Player list items.


Salary Calculator
Add Employee
Submit
First Name
Last Name
Employee ID
Title
Annual Salary
Delete Employee


Judging
Please select a caption.
NON-JUDGES: I know you can see this page. It's easier to do this way. No, you can't actually submit.
{% for ps_pair in submissions %}
{{ps_pair[1]}}
{% endfor %}


Class ContentFileUpdateRequest
Request to update a content file
Inherited Members
System.Object.ToString()
System.Object.Equals(System.Object)
System.Object.Equals(System.Object, System.Object)
System.Object.ReferenceEquals(System.Object, System.Object)
System.Object.GetHashCode()
System.Object.GetType()
System.Object.MemberwiseClone()
Namespace: System.Dynamic.ExpandoObject
Syntax
public class ContentFileUpdateRequest : ContentFileUpdateRequestBase
Properties
AcceptableLayerUnassignments
Allow removal of given Layers from Content if needed. Ignored when AllowAnyLayerUnassignment is enabled.
Declaration
public ICollection<string> AcceptableLayerUnassignments { get; set; }
Property Value
|
System.Collections.Generic.ICollection<System.String>
|
AllowAnyLayerUnassignment
When enabled, content file update will take place regardless of any layers that are not compatible with updated ContentSchemaId.
For better safety, consider using AcceptableLayerUnassignments instead.
Declaration
public bool AllowAnyLayerUnassignment { get; set; }
Property Value
|
System.Boolean
|
AllowContentTypeChange
Whether ContentType is allowed to change. This is needed if the newly uploaded file is of a different type (e.g. ".jpg" is replaced by ".svg")
Declaration
public bool AllowContentTypeChange { get; set; }
Property Value
|
System.Boolean
|
Methods
FromJson(String)
Declaration
public static ContentFileUpdateRequest FromJson(string data)
Parameters
|
System.String
data
|
Returns
|
ContentFileUpdateRequest
|
ToJson()
Declaration
public string ToJson()
Returns
|
System.String
|


Custom Builder
Pick exercises from our database that you like:
Pick a weight that is suitable for you:
Pick a set that suits the level of intensity that you want:
Pick different rep ranges that is suitable for you needs:
Pick a day that you want to add this exercise to:
{{custommsg}}
{{fullweek[n]}}
| Exercise | Set and Reps | Weights |
|---|---|---|
| {{customworkout[i].exercise}} | {{customworkout[i].set}} x {{customworkout[i].rep}} | {{customworkout[i].weights}}kg |


Download Code
The problems considered
We obtain a finite element (FE) scheme for the numerical approximation of the solution to the following non-local Poisson equation
In (1), $f$ is a given function and, for all $s\in(0,1)$, $\ffl{s}{}$ denotes the one-dimensional fractional Laplace operator, which is defined as the following singular integral
Here, $\ccs$ is an explicit normalization constant.
The main novelty of this work relies on the fact that, since we are dealing with a one-dimensional problem, each entry of the stiffness matrix can be computed explicitly, without requiring numerical integration, which is instead needed for the multidimensional case (see [1]). This has the great advantage of reducing the computational cost and allows to be used on more general applications.
A natural example is given by the numerical resolution of the following control problem: given any $T>0$, find a control function $g\in L^2((-1,1)\times(0,T))$ such that the corresponding solution to the parabolic problem
satisfies $z(x,T)=0$.
The approach emploied for solving this control problem is based on the penalized Hilbert Uniqueness Method ([2]).
Preliminary results
Variational formulation of the elliptic problem
Find $u\in H^s_0(-L,L)$ such that
for all $v\in H_0^s(-L,L)$. Here, $H^s_0(-L,L)$ denotes the space
while $H^s(\RR)$ is the classical fractional Sobolev space of order s. Since the bilinear form a is continuous and coercive, Lax-Milgram Theorem immediately implies that, if $f\in H^{-s}(-L,L)$, the dual space of $H^s_0(-L,L)$, then (1) admits a unique weak solution $u\in H_0^s(-L,L)$.
Parabolic problem
Definition 1. System (3) is said to be null-controllable at time $T$ if, for any $z_0\in L^2(-1,1)$, there exists $g\in L^2((-1,1)\times(0,T))$ such that the corresponding solution $z$ satisfies
Definition 2. System (3) is said to be approximately controllable at time $T$ if, for any $z_0,z_T\in L^2(-1,1)$ and any $\delta>0$, there exists $g\in L^2((-1,1)\times(0,T))$ such that the corresponding solution $z$ satisfies
There are few results in the literature on the null-controllability of the fractional heat equation, and they all deal with the spectral definition of the fractional Laplace operator, which is introduced, e.g., in [3],[4]. In this framework, it is known that the fractional heat equation is null-controllable, provided that $s>1/2$. For $s\leq 1/2$, instead, null controllability does not hold, not even for $T$ large.
However, also for the parabolic equation involving the integral fractional Laplacian (2), at least in the one space dimension, these properties are easily achievable. In more detail, we prove the following.
Proposition 1. For all $z_0\in L^2(-1,1)$ the parabolic problem (3) is null-controllable with a control function $g\in L^2(\omega\times(0,T))$ if and only if $s>1/2$.
Even if for $s\leq 1/2$ null controllability for (3) fails, we still have the following result of approximate controllability.
Proposition 2. Let $s\in(0,1)$. For all $z_0\in L^2(-1,1)$, there exists a control function $g\in L^2(\omega\times(0,T))$ such that the unique solution $z$ to the parabolic problem (3) is approximately controllable.
Development of the numerical scheme
Finite element approximation of the elliptic problem
Let us introduce a partition of the interval $(-L,L)$ as follows:
with $x_{i+1}=x_i+h$, $i=0,\ldots N$, $h>0$. Having defined $K_i:=[x_i,x_{i+1}]$ we consider the discrete space
where $\mathcal{P}^1$ is the space of the continuous and piece-wise linear functions. If we indicate with
the classical basis of $V_h$ in which each $\phi_i$ is the tent function with $supp(\phi_i)=(x_{i-1},x_{i+1})$ and verifying $\phi_i(x_j)=\delta_{i,j}$, at the end we are reduced to solve the linear system
where the stiffness matrix $\mathcal A_h\in \RR^{N\times N}$ has components
while the vector $F\in\RR^N$ is given by $F=(F_1,\ldots,F_N)$ with
The construction of the stiffness matrix $\mathcal A_h$ is done in three steps, since its elements can be computed differentiating among three well defined regions: the upper triangle, corresponding to indices $j\geq i+2$, the upper diagonal corresponding to $j=i+1$, and the diagonal corresponding to $j=i$. In each of these regions, the intersections among the support of the basis functions are different, thus generating different values of the bilinear form.
After several computations, we obtain the following expressions for the elements of the stiffness matrix $\mathcal{A}_h$: for $s\neq 1/2$
For $s=1/2$, instead, we have
Control problem for the fractional heat equation
We employ the so called penalised Hilbert Uniqueness Method (HUM) that deals with the resolution of the following minimization problem: find
where
where $\varphi$ is the solution to the adjoint problem
Then, the approximate and null controllability properties of the system, for a given initial datum $z_0$, can be expressed in terms of the behavior of the penalized HUM approach.
In particular, according to [2,Theorem 1.7] we have:
-
- The equation is approximately controllable at time $T$ from the initial datum $z_0$ if and only if
-
- The equation is null-controllable at time $T$ from the initial datum $z_0$ if and only if
In this case, we have
Numerical results
Here, we present the numerical simulations corresponding to our algorithms. We provide a complete discussion of the results obtained.
First of all, in order to test numerically the accuracy of our method for the discretization of the elliptic equation (1) we use the following problem
In this particular case, the solution can be expressed as follows
In figure 1 and figure 2, we show a comparison for different values of $s$ between the exact solution (8) and the computed numerical approximation. Here we consider $L=1$ and $N=50$. One can notice that, when $s=0.1$, the computed solution is to a certain extent different from the exact solution. However, one should be careful with such result and a more precise analysis of the error should be carried.
Figure 1: Plot for different values of $s<1/2$.
Figure 2: Plot for different values of $s\geq 1/2$.
In figure 3, we present the computational errors evaluated for different values of $s$ and $h$.
Figure 3: Convergence of the error.
The rates of convergence shown are of order (in $h$) of $1/2$. This is in accordance with the known theoretical results (see, e.g., [1,Theorem 4.6]). One can see that the convergence rate is maintained also for small values of $s$. Since it is well-known that the notion of trace is not defined for the spaces $H^s(-L,L)$ with $s\leq 1/2$, it is somehow natural that we cannot expect a point-wise convergence in this case.
Control experiments
We present some numerical results for the controllability of the fractional heat equation (3). We use the finite-element approximation of $\ffl{s}{}$ for the space discretization and the implicit Euler scheme in the time variable. We choose the penalization term ε as a function of h. A practical rule ([2]) is to choose $\phi(h)\sim h^{2p}$ where $p$ is the order of accuracy in space of the numerical method used for the discretization of the spatial operator involved. In this case, we take $p=1/2$.
In figure 4, we observe the time evolution of the uncontrolled solution as well as the controlled solution. Here, we set $s=0.8$, $\omega=(-0.3,0.8)$ and $T=0.3$, and choose $z_0(x) = \sin(\pi x)$. The control domain is the highlighted zone on the plane $(t,x)$. As expected, we observe that the uncontrolled solution decays with time, but does not reach zero at time $T$, while the controlled solution does.
Figure 4: Time evolution of system (3).
In figure 5, for $s=0.8$ we present the computed values of various quantities of interest when the mesh size goes to zero. More precisely, we observe that the control cost and the optimal energy remain bounded as $h\to 0$. On the other hand, we see that
We know that, for $s=0.8$, system (3) is null controllable. This is now confirmed by (9), according to [2,Theorem 1.7]. In fact, the same experiment can be repeated for different values of $s>1/2$, obtaining the same conclusions.
Figure 5: Convergence properties of the method for controllability of the fractional heat equation.
In figure 6, we illustrate the numerical results for the case $s\leq 1/2$. We observe that the cost of the control and the optimal energy increase in both cases, while the target $y(T)$ tends to zero with a slower rate than $h^{1/2}$. This seems to confirm that a uniform observability estimate for (3) does not hold and that we can only expect to have approximate controllability.
Figure 6: Convergence properties of the method for $s<1/2$. Same legend as in figure 5.
VIDEOS:
- Uncontrolled dynamics with s = 0.8 and T = 0.2 s - the solution dissipates but the zero state is not reached.
- Controlled dynamics with s = 0.8, T = 0.2 s and \omega = (−0.3, 0.8) - the zero state is reached.
Bibliography
[1] Acosta, G., Bersetche, F. M., and Borthagaray, J. P. A short FE implementation for a 2d homogeneous Dirichlet problem of a Fractional Laplacian Comput. Math. Appl. (2017).
[2] Boyer, F On the penalized hum approach and its applications to the numerical approximation of null-controls for parabolic problems ESAIM: Proceedings vol. 41 (2013), pp. 15–58.
[3] Micu, S., and Zuazua, E. On the controllability of a fractional order parabolic equation. SIAM J. Control Optim., vol. 44, no. 6 (2006), pp. 1950–1972.
[4] Miller, L. On the controllability of anomalous diffusions generated by the fractional Laplacian. Math. Control Signals Systems, vol. 18, no. 3 (2006), pp. 260–271.


Section 13 Trend heat maps
13.1 Another way of representing trends
The trendLevel
function provides a way of rapidly showing a large
amount of data in a condensed way. It is particularly useful for
plotting the level of a value against two categorical variables. These
categorical variables can pre-exist in a data set or be made on the
fly using openair. By default it will show the mean value of a
variable against two categorical variables but can also consider a
wider range of statistics e.g. the maximum, frequency, or indeed a
user-defined function. The function is much more flexible than this by
showing temporal data and can plot ‘heat maps’ in many flexible
ways. Both continuous colour scales and user-defined categorical
scales can be used.
The trendLevel
function shows how the value of a variable
varies according to intervals of two other variables. The \(x\) and \(y\)
variables can be categorical (factor or character) or numeric. The
third variable (\(z\)) must be numeric and is coloured according to its
value. Despite being called trendLevel
the function is flexible
enough to consider a wide range of plotting variables.
If the \(x\) and \(y\) variables are not categorical they are made so by
splitting the data into quantiles (using cutData
). Furthermore, the user can supply as many levels as they wish for the quantile using the option n.levels
. Remeber also there are lots of built-in options for x
or y
based on temporal variations (see Section 22.2) e.g. “month” (the default), “week,” “daylight” and so on.
13.2 Examples
The standard output from trendLevel
is shown in Figure
13.1, which shows the variation in NOx
concentrations by year and hour of the day. By default the function will use “month” for the x-axis and “hour” for the y-axis.
library(openair)
library(tidyverse)
trendLevel(mydata, pollutant = "nox")
trendLevel(mydata, pollutant = "nox", y = "wd",
border = "white",
cols = "jet")
Figure 13.3 indicates that the highest NOx
concentrations most strongly associate with wind sectors about 200
degrees, appear to be decreasing over the years, but do not appear to
associate with an SO2 rich NOx source. Using type = "so2"
would have conditioned by absolute SO2 concentration. As both a
moderate contribution from an SO2 rich source and a high
contribution from an SO2 poor source could generate similar SO2
concentrations, such conditioning can sometimes blur
interpretations. The use of this type of ‘over pollutant’ ratio
reduces this blurring by focusing conditioning on cases when NOx
concentrations (be they high or low) associate with relatively high or
low SO2 concentrations.
## new field: so2/nox ratio
<- mutate(mydata, ratio = so2 / nox)
mydata
## condition by mydata$new
trendLevel(mydata, "nox", x = "year", y = "wd",
type = "ratio",
cols = "inferno")
The plot can be used in much more flexible ways. Here are some examples (not plotted):
A plot of mean O3 concentration shown by season and by daylight/nighttime hours.
trendLevel(mydata, x = "season", y = "daylight", pollutant = "o3")
Or by season and hour of the day:
trendLevel(mydata, x = "season", y = "hour",
pollutant = "o3",
cols = "increment")
How about NOx versus NO2 coloured by the concentration of O3?
scatterPlot
could also be used to produce such a plot. However,
one interesting difference with using trendLevel
is that the data
are split into quantiles where equal numbers of data exist in each
interval. This approach can make it a bit easier to see the underlying
relationship between variables. A scatter plot may have too much data
to be clear and also outliers (or regions with relatively few data)
that make it harder to see what is going on. The plot generated by the
command below makes it a bit easier to see that it is the higher
quantiles of NO2 that are associated with higher O3
concentration (as well as low NOx and NO2 concentrations).
trendLevel(mydata, x = "nox", y = "no2", pollutant = "o3",
border = "white",
n.levels = 30, statistic = "max",
limits = c(0, 50))
The plot can also be shown by wind direction sector, this time showing how O3 varies by weekday, wind direction sector and NOx quantile.
trendLevel(mydata, x = "nox", y = "weekday", pollutant = "o3",
border = "white", n.levels = 10, statistic = "max",
limits = c(0, 50), type = "wd")
By default trendLevel
subsamples the plotted pollutant
data
by the supplied x
, y
and type
parameters and in each
case calculates the mean. The option statistic
has always let
you apply other statistics. For example, trendLevel
also
calculated the maximum via the option statistic = "max"
. The user
may also use their own statistic function.
As a simple example, consider the above plot which summarises by mean. This tells us about average concentrations. It might also be useful to consider a particular percentile of concentrations. This can be done by defining one’s own function as shown in Figure 13.5.
## function to estimate 95th percentile
<- function(x) quantile(x, probs = 0.95, na.rm = TRUE)
percentile
## apply to present plot
trendLevel(mydata, "nox", x = "year", y = "wd",
type = "ratio",
cols = "viridis",
statistic = percentile)
This type of flexibility really opens up the potential of the function
as a screening tool for the early stages of data analysis. Increased
control of x
, y
, type
and statistic
allow you to
very quick explore your data and develop an understanding of how
different parameters interact. Patterns in trendLevel
plots can
also help to direct your openair analysis. For example, possible trends
in data conditioned by year would suggest that functions like
smoothTrend
or TheilSen
could provide further insight.
Likewise, windRose
or polarPlot
could be useful next steps
if wind speed and direct conditioning produces interesting features.
However, perhaps most interestingly, novel conditioning or the
incorporation of novel parameters in this type of highly flexible function
provides a means of developing new data visualisation and analysis methods.
trendLevel
can also be used with user defined discrete colour
scales as shown in Figure 13.6. In this case the
default \(x\) and \(y\) variables are chosen (month and hour) split by
type
(year).
trendLevel(mydata, pollutant = "no2",
x = "week",
border = "white", statistic = "max",
breaks = c(0, 50, 100, 500),
labels = c("low", "medium", "high"),
cols = c("forestgreen", "yellow", "red"),
key.position = "top")


Bash #: {{report.name}}
Result: {{report.result}}
Company Name: {{report.company.name}}
Oil Name: {{report.oil.name}}
Country of Origin: {{report.country_of_origin}}
Date Tested: {{date}}
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Preston Pride Community Basketball Club
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Hi {name},
We've received your request to clear all the data we have on you. Note that proceeding with this will result in termination of your ticket to the Quantified Self art show.
If you'd like to proceed with the deuahtorization, please click here.
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Tyler's Sports Trivia
You are on question number
NUMBER
of
TOTAL
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Danny Kanell Shakes Up His Top 8 After Week 13
by Matt HladikWeek 13 of the college football season is in the books, and Danny Kanell has updated his top eight rankings accordingly.
Kanell’s weekly rankings are always fun to analyze, particularly because they typically cause consternation for some fan bases who feel their teams are being slighted. Usually, those fan bases are from the SEC.
Today, fans of Alabama and Georgia might actually be somewhat happy with Kanell. He finally put their teams back in the top eight.
Kanell’s top five looks exactly how it did one week ago. Oregon has been dropped after losing to Arizona State, as has Penn State. Georgia and Alabama replaced them.
Clemson has been the No. 1 team on Kanell’s list all season, even though the Tigers aren’t No. 1 in either major poll or the CFP rankings.
When the new playoff rankings are unveiled Tuesday, expect LSU, Ohio State and Clemson to be the top three in some order, with Georgia once coming in fourth. Alabama will be fifth again, and we’ll see if the committee slots Utah or Oklahoma at No. 6.


You need to access Sopophorous beans to be able to modify its genetic resources and, with that, perfect your magic potion that help plants to grow faster. Sopophorous beans are very very rare and only grow in special environments on Middle-earth.
You need to access Sopophorous beans to be able to modify its genetic resources and, with that, perfect your magic potion that help plants to grow faster. Sopophorous beans are very very rare and only grow in special environments on Middle-earth.


This web page is going to call a Web API in order to give you back the Fibonacci Numbers.
Please enter Fibonacci's boundaries.


Normani named first-ever Brand Ambassador for Rihanna's Savage X Fenty
Normani has been named Rihanna’s lingerie company Savage X Fenty’s first-ever Brand Ambassador and we’re crying tears of joy.
The Love Lies singer posted some snaps on Instagram of herself looking jaw-droppingly stunning in the brand’s lingerie and told fans to believe in themselves.
‘I’m the first ever brand ambassador for @savagexfenty !!! I love you @badgalriri,’ the 23-year-old started.
 I don’t always wake up feeling the most confident and powerful, but trust and believe having my Savage X on always helps!!’
With you as Brand Ambassador, Normani, everyone’s going to be feeling empowered.
The best thing about this honour is that Rihanna took notice of the power that is Normani.
The singer was asked to dance at her Savage X Fenty runway show this September, so it’s only right RiRi brings in another Queen to her brand.
Rihanna also commented underneath the post: ‘Welcome to the family sis! Honored to have you!! @normani’
Advertisement Advertisement
Normani also completed an interview with Vogue on her journey with Rihanna and her business, complimenting the entrepreneur for her ‘fearlessness’.
She said: ‘[Rihanna has] had so much influence on me in terms of pop culture and as a woman, but also in terms of how she’s able to do things gracefully while being cutting edge, being bold, pushing the needle, and changing the narrative.
‘I think that being a part of Savage X Fenty is an amazing opportunity for me to show women that I’m also here for them too. I love how inclusive the brand is. Being a part of the show and being able to have the opportunity to dance and do what I love was so powerful.
‘It was great to be among so many amazing human beings who deserve to be celebrated because they’re all beautiful—all shapes, all sizes.’
We already know the Motivation singer is the perfect choice for Rihanna’s business style.
Now, all we need to do is buy everything from the holiday collection.
Got a showbiz story?
If you've got a story, video or pictures get in touch with the Metro.co.uk Entertainment team by emailing us<EMAIL_ADDRESS>calling 020 3615 2145 or by visiting our Submit Stuff page - we'd love to hear from you.


{{ template "head" . }} {{ template "prom_right_table_head" }} {{ template "prom_right_table_tail" }} {{ template "prom_content_head" . }}
Welcome to a monitoring tool developed by hkjn.
This dashboard shows information about the state of a Bitcoin node, which should make it easier to monitor its state and learn about the technology.
bitcoind


markdown syntax
This article is a document written using Markdown
, using the page effect generated by teedoc
, see here
Markdown basic file content format
You need to confirm in site_config.json
that there is a markdown
parsing plugin enabled, such as teedoc-plugin-markdown-parser
.
Create a folder or file in the directory corresponding to config.json
, such as get_started/zh/syntax/syntax_markdown.md
(README.md
will eventually generate index.html
), and then write the content:
Markdown header
Add a header
---
title: markdown syntax
tags: teedoc, markdown, syntax
keywords: teedoc, markdown, syntax
desc: teedoc's markdown syntax introduction and examples
---
Use these keys to set article information:
title
: the title of the articlekeywords
: Keywords, multiple keywords are separated by English commas,
, will be added to the header ofhtml
, which is convenient for search engines to crawldesc
: page description, which will be added to the header ofhtml
for easy crawling by search enginesid
: pageid
, will be added to thehtml
tag, such as...
, it can be left unset, it will overwriteconfig.json
Settings inclass
: pageclass
, multiple separated by English comma,
, it is not necessary to set it, it will overwrite the setting inconfig.json
. For example, you can set thecss
style of a specific page by setting this value
Markdown file content
The content is written using the Markdown
grammar, because the title will be converted into the

tag, so the content is recommended to start with the secondary title, so that a page has only one

tag, which is convenient for search engines to crawl ,such as
---
title: teedoc
keywords: teedoc, markdown, jupyter notebook, html, document generation, alternative gitbook, website generation, static website
desc: teedoc, convert markdown or jupyter notbook into html static webpage
id: zh_readme
class: zh_readme
---
## Title One
content. . .
## Title Two
content. . .
The first-level title (#
) is best not to be used, because the above title
will automatically generate a first-level title (

tag), and a page should have only one first-level title, which is convenient for search engines to crawl Included
keywords
is the keywords
of the generated html
page, which will not be displayed on the page, and is mainly provided to search engines
desc
is the description
of the generated html
page, it will not be displayed on the page, it is mainly provided to search engines
tags
are the tags for the article, which will be displayed on the page
Secondary heading
Three-level heading
Four-level heading
Four-level heading 2
Four-level heading 3
Five-level heading
Sixth level heading
Up to 6 headings
Link
List
List item:
- Buns
- Mantou
- Tea eggs
- aaaaaaa
- Secondary list
- Secondary list
- Secondary list
- bbbbbb
code
This is an inline code print("hello")
, or emphasizes teedoc
print("hello")
print("world")
#include "stdio.h"
int main()
{
printf("hello world");
}
Comment (quote block)
Below is a comment
Here is a comment (

)
This is the second line of the comment
# Here is the code snippet in the comment
print("hello")
Notes
Comment nesting
Comment nesting
caveat
Below is a warning message
This is a warning message (

)
Picture
To display this picture, you need to set the key value of route
in site_config.json
Video
<video src="https://****.com/***.mp4" controls="controls" preload="auto">your brower not support play video</video>
There is no video here, so it is blank, just put in the correct video and it can be played
iframe embedded in webpage
Quote mark
I am proud of what I can do. [^Dianfanren]
This will be annotated at the end of the article
Underline
I amTenjin Assault worker
Form
| Header 1 | Header 2 |
|---|---|
Cell 1 |
Cell 2 link |
| Cell 3 | Cell 4 |
task list
- Task 1
- Mission 2
- Mission 3
- Mission 4


{% extends "layout.html" %} {% block head %} {% include "includes/head.html" %} {% endblock %} {% block page_title %} Apprenticeships {% endblock %} {% block content %} {% include "includes/phase_banner_beta.html" %} {% include "includes/breadcrumbs/register-back.html" %} {% include "includes/account-name-number.html" %}Edit training Provider Maybe some text about the provider Apprenticeship Apprenticeship training course Search for the training by course name or code End-point assessor There are no end-point assessors for this training course yet. New organisations are added regularly so please check back at a later date to update these details. What is an end-point assessor? An end-point assessor carries out a final assessment to ensure apprentices have successfully completed their apprenticeship. End-point assessment only applies to Standards. Find out more about end-point assessors Cancel {% endblock %}
An end-point assessor carries out a final assessment to ensure apprentices have successfully completed their apprenticeship. End-point assessment only applies to Standards.
Find out more about end-point assessors


nickname：{$Think.session.WST_USER.userName}
Hello, has been logged in, the new registered user system automatically assigned nickname, avatar and password, can be modified to personal Center
Please select the link address and enter the appropriate module 3s After the clock, the system automatically returned to Beijing Song official website Immediate return


You might know me from my YouTube channel. Looking to learn coding the right way? Sick of millions of YouTube videos and paid Udemy courses? Signup now and be the first one to do it THE RIGHT WAY for FREE!


deci_data IBN Sig] = FilterAndDownsample(filter_coefficients, filter_lengths, sdm_data, Fs, OSR, Fsignal, K, M, plot_psd, export_IBN, print_IBN, print_Sig) This function filter and downsdample the output patern from Delta-Sigma Modulator due to the number of decimation stages and its coefficients. Plots the PSD before and after the decimation process. Export the estimated IBN before and after deciamtion process and the Signal amplitude after decimation. filter_coefficients: Matrix of filter coefficients exported from 'decimation_filters' function, which represents the coefficients at each stage filter_lengths: Vector of filter lengths exported from 'decimation_filters' function, which represents the filter length at each stage sdm_data: Array holds the Delta-Sigma Modulator data Fs: Sampling frequency OSR: Over Sampling Ratio Fsignal: Signal frequency K: Number of decimation stages M: Vector holds the decimation factor at each stage plot_psd: Optional flag for plotting the PSD before and after decimation, 1 -> Plot or 0 -> don't Plot export_IBN: Optinal flag to export vector holding the IBN before and after decimation, 1 -> export, 0 -> don't export, [IBN_before_decimation IBN_after_decimation] print_IBN: Optinal flag to print the IBn before and after decimation in the command window, where 1 -> print or 0 -> don't print print_Sig: Optinal flag to print the Signal peak value before and after decimation 1 -> print or 0 -> don't print deci_data: Filtered output data IBN: IBN before and after decimation respectively Sig: Signal power before and after decimation respectively
0001 function [deci_data IBN Sig] = FilterAndDownsample(filter_coefficients, filter_lengths, sdm_data, Fs, OSR, Fsignal, K, M, plot_psd, export_IBN, print_IBN, print_Sig) 0002 0003 % 0004 % deci_data IBN Sig] = FilterAndDownsample(filter_coefficients, filter_lengths, sdm_data, Fs, OSR, Fsignal, K, M, plot_psd, export_IBN, print_IBN, print_Sig) 0005 % 0006 % This function filter and downsdample the output patern from Delta-Sigma Modulator due to the number 0007 % of decimation stages and its coefficients. Plots the PSD before and after 0008 % the decimation process. Export the estimated IBN before and after 0009 % deciamtion process and the Signal amplitude after decimation. 0010 % 0011 % filter_coefficients: Matrix of filter coefficients exported from 'decimation_filters' function, 0012 % which represents the coefficients at each stage 0013 % filter_lengths: Vector of filter lengths exported from 'decimation_filters' function, which 0014 % represents the filter length at each stage 0015 % sdm_data: Array holds the Delta-Sigma Modulator data 0016 % Fs: Sampling frequency 0017 % OSR: Over Sampling Ratio 0018 % Fsignal: Signal frequency 0019 % K: Number of decimation stages 0020 % M: Vector holds the decimation factor at each stage 0021 % plot_psd: Optional flag for plotting the PSD before and after 0022 % decimation, 1 -> Plot or 0 -> don't Plot 0023 % export_IBN: Optinal flag to export vector holding the IBN 0024 % before and after decimation, 1 -> export, 0 -> 0025 % don't export, [IBN_before_decimation IBN_after_decimation] 0026 % print_IBN: Optinal flag to print the IBn before and after 0027 % decimation in the command window, where 0028 % 1 -> print or 0 -> don't print 0029 % print_Sig: Optinal flag to print the Signal peak value 0030 % before and after decimation 0031 % 1 -> print or 0 -> don't print 0032 % 0033 % deci_data: Filtered output data 0034 % IBN: IBN before and after decimation respectively 0035 % Sig: Signal power before and after decimation respectively 0036 0037 0038 filter_downsample = struct('filter_data', [], 'downsample_data', []); 0039 0040 0041 for i = 1 : K, 0042 % if max(abs(filter_coefficients(i,:))) < 1, 0043 if i == 1, 0044 filter_downsample(i).filter_data = filter(filter_coefficients(i,1:filter_lengths(i)), [1], sdm_data); 0045 filter_downsample(i).downsample_data = downsample(filter_downsample(i).filter_data, M(i)); 0046 else 0047 filter_downsample(i).filter_data = filter(filter_coefficients(i,1:filter_lengths(i)), [1], filter_downsample(i-1).downsample_data); 0048 filter_downsample(i).downsample_data = downsample(filter_downsample(i).filter_data, M(i)); 0049 end 0050 % else 0051 % if i == 1, 0052 % filter_downsample(i).filter_data = filter(filter_coefficients(i,1:filter_lengths(i)), [1], sdm_data./sum(filter_coefficients(i,1:filter_lengths(i)))); 0053 % filter_downsample(i).downsample_data = downsample(filter_downsample(i).filter_data, M(i)); 0054 % else 0055 % filter_downsample(i).filter_data = filter(filter_coefficients(i,1:filter_lengths(i)), [1], filter_downsample(i-1).downsample_data./sum(filter_coefficients(i,1:filter_lengths(i)))); 0056 % filter_downsample(i).downsample_data = downsample(filter_downsample(i).filter_data, M(i)); 0057 % end 0058 % end 0059 end 0060 0061 deci_data = filter_downsample(K).downsample_data; 0062 0063 % Estimate the IBN before and after decimation 0064 if (nargin == 10 | nargin == 11 | nargin == 12) & export_IBN == 1, 0065 Fb=Fs/(2*OSR); 0066 sdmdata = plotFunction(sdm_data,'OSR',OSR,'fsig',Fsignal,'stats',true,'no_nz_bins',20,'plot_fft',false,'fs',Fs); 0067 IBN_DSM = sdmdata.P_IBN_dB; 0068 Sig_DSM = sdmdata.P_signal_dB; 0069 decidata = plotFunction(deci_data,'OSR',1,'fsig',Fsignal,'stats',true,'no_nz_bins',20,'plot_fft',false,'fs',Fs/(prod(M))); 0070 IBN_Decimator = decidata.P_IBN_dB; 0071 Sig_Decimator = decidata.P_signal_dB; 0072 IBN = [IBN_DSM IBN_Decimator]; 0073 Sig = [Sig_DSM Sig_Decimator]; 0074 else 0075 IBN = [nan nan]; 0076 end 0077 0078 if print_IBN == 1, 0079 fprintf('\n'); 0080 fprintf('The IBN before decimation = %f\n The IBN after decimation = %f\n', IBN); 0081 if nargin == 12 & print_Sig == 1, 0082 fprintf('The Signal Peak before decimation = %f\n The Signal Peak after decimation = %f\n', Sig); 0083 fprintf('\n'); 0084 end 0085 fprintf('\n'); 0086 end 0087 0088 % Plot PSD before and after decimation 0089 % if (nargin == 9 | nargin == 10 | nargin == 11 | nargin == 12) & plot_psd == 1, 0090 % FIG = figure('Name', 'Power Spectral Density', 'NumberTitle' , 'off'); 0091 % Np1 = TwoPowerN(length(sdm_data)); 0092 % [spectr_psd1, freq_psd1] = GetSpectrum(sdm_data, Np1, Fs); 0093 % if min(spectr_psd1) < 1e-20, 0094 % semilogx(freq_psd1, 10*log10(spectr_psd1*Fs/Np1)); 0095 % else 0096 % semilogx(freq_psd1, 10*log10(spectr_psd1)); 0097 % end 0098 % hold on 0099 % Np = TwoPowerN(length(filter_downsample(K).downsample_data)); 0100 % [spectr_psd, freq_psd] = GetSpectrum(filter_downsample(K).downsample_data, Np, Fs/prod(M)); 0101 % if min(spectr_psd) < 1e-20, 0102 % semilogx(freq_psd, 10*log10(spectr_psd*(Fs/prod(M))/Np), 'r'); 0103 % else 0104 % semilogx(freq_psd, 10*log10(spectr_psd), 'r'); 0105 % end 0106 % axis auto 0107 % grid on 0108 % xlabel('Frequency - Hz'); 0109 % ylabel('PSD - dB'); 0110 % title(['IBN = ', num2str(IBN), ', Sig = ', num2str(Sig)]); 0111 % end 0112 0113 0114 % Plot PSD before and after decimation 0115 if (nargin == 9 | nargin == 10 | nargin == 11 | nargin == 12) & plot_psd == 1, 0116 FIG = figure('Name', 'Power Spectral Density', 'NumberTitle' , 'off'); 0117 plotFunction(sdm_data,'OSR',OSR,'fsig',Fsignal,'stats',true,'no_nz_bins',20,'fs',Fs); 0118 hold on 0119 %Np = TwoPowerN(length(filter_downsample(K).downsample_data)); 0120 %[spectr_psd, freq_psd] = GetSpectrum(filter_downsample(K).downsample_data, Np, Fs/prod(M)); 0121 plotFunction(filter_downsample(K).downsample_data,'OSR',OSR/prod(M),'fsig',Fsignal,'stats',true,'no_nz_bins',20,'fs',Fs/prod(M)); 0122 axis auto 0123 grid on 0124 xlabel('Frequency - Hz'); 0125 ylabel('PSD - dB'); 0126 title(['IBN = ', num2str(IBN), ', Sig = ', num2str(Sig)]); 0127 end


{% include components/indicator/headline.html %} {% include components/indicator/data-embedd-tab.html %} {% include components/indicator/embedded-feature.html %}


gartner
Businessmodel of Gartner
Customer Segments
Gartner’s customer base can be separated into two segments – individual senior corporate representatives, and corporates. It operates globally, but derives over two-thirds of its revenue from its North American operations.
- Senior corporate representatives – Gartner’s research and events arms target mainly individual senior corporate representatives, including CIOs and senior information technology (IT) leaders in corporations and government agencies, business leaders in high-tech and telecom enterprises and professional services firms, supply chain professionals, digital marketing professionals, technology investors, and others who may require up-to-date research on IT issues and who may benefit from the information sharing that comes from attending the IT-specific events organized by Gartner.
- Corporates – Corporates are generally served through the consulting arm, which provides IT advisory services to achieve optimal cost, performance, efficiency and quality. ### Value Proposition
Gartner’s value proposition is threefold.
First, its research coverage is both in-depth, in that it has deep expertise in very specific fields – IT, supply chains, and digital marketing, and extensive, in that within each field, especially IT, it is able to provide unparalleled coverage with regard to major issues. Second, Gartner is known for being independent and objective, making it a good source of information and advice for corporate clients. Third, Gartner has developed and is able to provide its proprietary tools to benchmark capabilities and to apply best practices for client organisations.
Aside from the above, Gartner is an established brand with over 35 years of history, a global footprint, a massive network of analysts and consultants, 3and a highly experienced management team.
Channels
The channels that Gartner uses to engage its customers varies largely across the different services that are provided.
For research services, reports, briefings, updates and related tools are primarily delivered online via Gartner’s website and/or product-specific portals. These reports are accessible through subscription only portals.
For consulting services, the provided assistance is of a bespoke nature. Gartner staff are usually present on the ground to assist with the application of Gartner’s proprietary information and tools to corporate client concerns. In this regard Gartner provides on-site and day-to-day support from its staff.
Customer Relationships
Gartner maintains its customer relationships differently across its different business functions. For its research arm, it maintains relationships primarily through virtual means – via its website or other product specific apps.
For consulting and events, both of which are more relational in nature, it has staff on the ground to assist with customers (and event goers). It also employs sales personnel to build up and maintain its customer relationships.
Key Activities
Gartner’s key activity is the provision of research, consulting, and event organization services for senior corporate representatives and corporates on issues relating to IT, supply chain, and digital marketing.
Key Partners
Gartner’s key partners are its clients and vendors.
Key Resources
Gartner’s key resources are its goodwill, intangible assets, and property, plant, and equipment. Of these the largest balance sheet item is its goodwill.
Cost Structure
Gartner’s key costs are the cost of services and product development, and selling, general, and administrative expenses.
The common thread between the two is staff costs – as Gartner’s business is the provision of services, its main costs would be to maintain its staff’s wages and to maintain its physical operations through its office space leases.
Revenue Streams
Gartner’s revenue streams come from its three main business segments: Research, Consulting, and Events.
The research arm earns mainly from subscription fees for research products. Consulting revenues are derived from both fixed fee or time and material arrangements. Event revenues are generated from ticket sales and other revenues.
Source of Revenue/Cost Revenue (FY 2015, thousand USD) % of Total Revenue Total revenues 2,163,056 100% Research
1,583,486 73% Consulting
327,735 15% Events
251,835 12% Expenses 1,875,059 87% Cost of services & product development
839,076 39% Selling, general and administrative
962,677 45% Depreciation
33,789 2% Amortization of intangibles
13,342 1% Acquisition & integration charges
26,175 1% Operating income 287,997 13%


Call Transfer - Server Initiated
This example is similar to the Call Transfer example with the difference being that in this case the program does not initiate the call. Instead the program waits to receive a call request, answers it and then sometime later when the 't' key is pressed sends a transfer request to the remote call party.
Another difference is this example uses the SIPUserAgent
instead of the SIPClientUserAgent
. The SIPUserAgent
is a combination of the client and server user agents and also understands in dialog requests (things like call hold and transfer). By contrast the SIPClientUserAgent
considers its job done once the call attempt it answered or rejected.
The type of transfer used is a Blind Transfer
. The remote call party is requested to place a new call directly. An Attended Transfer
is where the transferee places the call, does some talking (assumedly) and then bridges the two parties together.
The diagram below represents a typical call flow when using this program. The softphone
calls the sipsorcery
program. After answering the sipsorcery
program transfers the softphone
by requesting it to place a call to the asterisk
server.


compact mobile app
Beantech Scientific Calculator.
UI design by Alabi Emmanuel and
Alogorithm delveloped by Beantech's Team.
Beantech Local Weather Application.
UI design by Osademe Emmanuel and
Alogorithm delveloped by Beantech's Team.
Beantech Pomodoro Timer.
UI design by Osademe Emmanuel and
Alogorithm delveloped by Beantech's Team.
Beantech TicTacToe Game.
UI design by Alabi Emmanuel and
Alogorithm delveloped by Beantech's Team.
Beantech Bean Task.
UI design by Osademe Emmanuel and
Alogorithm delveloped by Beantech's Team.
Beantech BeChat App
UI design by Osademe Emmanuel and
Alogorithm delveloped by Beantech's Team.


⚙
Webpack SPA App
Server-side Web App
Static SPA App
SignIn
Username:
Password:
Use Sign-In Widget
Issuer:
useInteractionCodeFlow:
Status
Session Token
Error
Back to SPA app


the and {background for margin {border-style px;} study will #ffffff;} patients The antiviral plus treatment with are clinical day ribavirin three coronavirus severe px; respiratory {font-family during font-size rate regimens therapeutic -nCoV COVID- COVID-. Chongqing Health doi: double; mild moderate novel that this RNA This border-color border-width combination disease, lopinavir/ritonavir safety solid; test, use was {font-style {font-weight :â€". LPV/r MERS Medical Patients SARS adverse based bold case courier; different disease drugs efficacy em; evidence interferon-alpha, not outbreak proposed pt;} syndrome their used which


Tell us about yourself
First Name
Last Name
Email
Phone
Company
There were errors while submitting
Cancel
Processing…
Subscription Details
Marvel Classics
$9
per month
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{% block headerJavascript %} {% endblock headerJavascript %}
Seems to be missing some content, bucko.


Lattitude
Plots
Max Temperature
Humidity
Cloudiness
Wind Speed
Comparison
Data
Comparison: Latitude vs. X
Click any plot to get an in-depth analysis.
vs. Max Temperature
vs. Humidity
vs. Cloudiness
vs. Wind Speed


Module p.mineconfig
Part of
pymine
docstring goes here
Function
initialise_crypto
Undocumented
Function
create_user
Undocumented
Function
usage
Undocumented
Function
main
Undocumented
def initialise_crypto():
Undocumented
def create_user(username, password):
Undocumented
def usage():
Undocumented
def main(argv):
Undocumented
API Documentation
for pymine, generated by
pydoctor
at (date elided).


Shop our Wire Replacement for Access Control and achieve up to 1 mile range through obstructions and 50+ miles line of sight.


The central artifact to the fare system is the Nol card. A Nol Card is a smart card that enables you to pay for the use of various RTA transport modes in Dubai with a single card. You can use your Nol Card to travel on Dubai's Metro, Buses, Water Buses,Dubai Tram as well as pay for RTA's Paid Parking. There are four categories of Nol Cards which are identified by color. Nol cards are primarily dispensed at the station, either from a ticketing agent or and automated fare purchasing station.
An Anonymous card with an e-purse that can be loaded with up to AED 5000. (USD 1371)
An anonymous card with the same features as the Silver Card, but it gives you the privileged access to Metro's Gold Class seats for premium charges.
A personal card with a secure e-purse that can be loaded with up to AED 500. (USD 137) *Requires a subscription.
A paper-based ticket that doesn't have e-purse, and can be loaded with 10 trips. Which is most like a traditional train ticket.


AirPods prank sees people trying to pick up stickers from the street
by Ben LovejoySan Francisco artist Pablo Rochat carried out a fun AirPods prank over the weekend, fooling people into thinking the in-ear wireless headphones had been dropped in the street…
Business Insider explains.

The prank was primarily intended to catch people’s attention and cause them to do a double-take, Rochat told Business Insider.
“Most people found it funny, but a few people were pissed that they got pranked,” Rochat said.
Rochat tweeted examples.
He has both AirPods and AirPods Pro templates on his website for anyone else who wants to play, though some are already thinking of taking the AirPods prank to the next level.
With one especially cruel variation on the theme suggested:
A recent survey found that AirPods are teens’ most wanted holiday gift.
FTC: We use income earning auto affiliate links. More.


{{ location.getSurveyObject.Social_Email }}
{% if location.getSurveyObject.Social_Phone_KeepPrivate %} {% else %}{{ location.getSurveyObject.Social_Phone }}
{% endif %} {% if location.getSurveyObject.Social_website %}{{ location.getSurveyObject.Social_website }}
{% endif %}{% if location.getSurveyObject.Social_Twitter %} {% endif %} {% if location.getSurveyObject.Social_facebook %} {% endif %} {% if location.getSurveyObject.youtube %} {% endif %} {% if location.getSurveyObject.instagram %} {% endif %} {% if location.getSurveyObject.nextdoor %} {% endif %}
{% for Organization_Description in location.getSurveyObject.Organization_Description %} {% if Organization_Description != 'undefined' and Organization_Description != 'Other' %} {{ Organization_Description }} {% endif %} {% endfor %} {% if location.getSurveyObject.Organization_Description_Other %} {{ location.getSurveyObject.Organization_Description_Other|truncatechars:50 }} {% endif %}
{% for activity in location.Activity %} {% if activity != 'undefined' and activity != 'Other' %} {{ activity }} {% endif %} {% endfor %} {% if location.Activity_Other %} {{ location.Activity_Other|truncatechars:50 }} {% endif %}
{% for Service_Area_Description in location.getSurveyObject.Service_Area_Description %} {% if Service_Area_Description != 'undefined' %} {{ Service_Area_Description }} {% endif %} {% endfor %} {% for CouncilDistricts in location.getSurveyObject.CouncilDistricts %} {% if CouncilDistricts != 'undefined' and CouncilDistricts != 'Citywide' %} {{ CouncilDistricts }} {% endif %} {% endfor %}
{% for organization_structured in location.getSurveyObject.organization_structured %} {% if organization_structured != 'undefined' %} {{ organization_structured }} {% endif %} {% endfor %}
{{ location.getSurveyObject.Year_Founded }}
{% for Activities_Services in location.getSurveyObject.Activities_Services %} {% if Activities_Services != 'undefined' %} {{ Activities_Services }} {% endif %} {% endfor %}
{% for Service_Population in location.getSurveyObject.Service_Population %} {% if Service_Population != 'undefined' and Service_Population != 'Other' %} {{ Service_Population }} {% endif %} {% endfor %} {% if location.getSurveyObject.Service_Population_Other %} {{ location.getSurveyObject.Service_Population_Other|truncatechars:50 }} {% endif %}
{{ location.getSurveyObject.Organizational_Mission }}
{% for contacts in location.getContactObject %}
{{ contacts.Name }}
{{ contacts.Title }}
{% if contacts.KeepPrivateTel == False %}
{{ contacts.Tel }}
{% endif %}
{% if contacts.KeepPrivateEmail == False %}
{{ contacts.Email|urlize }}
{% endif %}
{% endfor %}
{% for Languages in location.getSurveyObject.Languages %} {% if Languages != 'undefined' %} {{ Languages }} {% endif %} {% endfor %} {% for Languages in location.getSurveyObject.Languages_Other %} {% if Languages != 'undefined' %} {{ Languages }} {% endif %} {% endfor %}
{% for meetings in location.getMeetingObject %}
{% if meetings.end_repeat %}
{% if meetings.checkRepeat %}
{{ meetings.MeetingName }}
{{ meetings.Address }} {% if meetings.Address2 %}{{ meetings.Address2 }}{% endif %}
{{ meetings.City }}, {{ meetings.State }} {{ meetings.ZipCode }}
{% if meetings.all_day %}
All Day Meeting
{% if meetings.repeat != "NEVER" %}
{% if meetings.repeat == "DAILY" %}
This meeting is held every day until {{ meetings.end_repeat|date:"F dS, Y"}}.
{% endif %}
{% if meetings.repeat == "WEEKDAY" %}
This meeting is held every weekday until {{ meetings.end_repeat|date:"l, F dS, Y"}}.
{% endif %}
{% if meetings.repeat == "WEEKLY" %}
This meeting is held weekly on {{ meetings.StartOn|date:"l"}} until {{ meetings.end_repeat|date:"l, F dS, Y"}}.
{% endif %}
{% if meetings.repeat == "MONTHLY" %}
This meeting is held monthly on the {{ meetings.getStartWeekDay }} {{ meetings.StartOn|date:"l"}} of the month until {{ meetings.end_repeat|date:"l, F dS, Y"}}.
{% endif %}
{% if meetings.repeat == "YEARLY" %}
This meeting is held annualy on the {{ meetings.getStartWeekDay }} {{ meetings.StartOn|date:"l"}} in {{ meetings.StartOn|date:"F"}} until {{ meetings.end_repeat|date:"l, F dS, Y"}}.
{% endif %}
{% else %}
{% if meetings.StartOn %}
{{ meetings.StartOn|date:"l, F dS, Y"}}
{% endif %}
{% if meetings.EndsOn %}
to {{ meetings.EndsOn|date:"l, F dS, Y"}}.
{% endif %}
{% endif %}
{% else %}
{% if meetings.repeat != "NEVER" %}
{% if meetings.repeat == "DAILY" %}
This meeting is held every day from {{ meetings.StartOn|date:"P"}} to {{ meetings.EndsOn|date:"P"}} until {{ meetings.end_repeat|date:"l, F dS, Y"}}.
{% endif %}
{% if meetings.repeat == "WEEKDAY" %}
This meeting is held every weekday from {{ meetings.StartOn|date:"P"}} to {{ meetings.EndsOn|date:"P"}} until {{ meetings.end_repeat|date:"l, F dS, Y"}}.
{% endif %}
{% if meetings.repeat == "WEEKLY" %}
This meeting is held weekly on {{ meetings.StartOn|date:"l"}} from {{ meetings.StartOn|date:"P"}} to {{ meetings.EndsOn|date:"P"}} until {{ meetings.end_repeat|date:"l, F dS, Y"}}.
{% endif %}
{% if meetings.repeat == "MONTHLY" %}
This meeting is held monthly on the {{ meetings.getStartWeekDay }} {{ meetings.StartOn|date:"l"}} of the month from {{ meetings.StartOn|date:"P"}} to {{ meetings.EndsOn|date:"P"}} until {{ meetings.end_repeat|date:"l, F dS, Y"}}.
{% endif %}
{% if meetings.repeat == "YEARLY" %}
This meeting is held annualy on the {{ meetings.getStartWeekDay }} {{ meetings.StartOn|date:"l"}} in {{ meetings.StartOn|date:"F"}} from {{ meetings.StartOn|date:"P"}} to {{ meetings.EndsOn|date:"P"}} until {{ meetings.end_repeat|date:"l, F dS, Y"}}.
{% endif %}
{% else %}
{% if meetings.StartOn %}
{{ meetings.StartOn|date:"l, F dS, Y; P "}}
{% endif %}
{% if meetings.EndsOn %}
to {{ meetings.EndsOn|date:"l, F dS, Y; P "}}.
{% endif %}
{% endif %}
{% endif %}
Meeting Contact
{{ meetings.MeetingPerson }}
{{ meetings.MeetingPersonPhone }}
{{ meetings.MeetingPersonEmail|urlize }}
{% endif %}
{% else %}
{{ meetings.MeetingName }}
{{ meetings.Address }} {% if meetings.Address2 %}{{ meetings.Address2 }}{% endif %}
{{ meetings.City }}, {{ meetings.State }} {{ meetings.ZipCode }}
{% if meetings.all_day %}
All Day Meeting
{% if meetings.repeat != "NEVER" %}
{% if meetings.repeat == "DAILY" %}
This meeting is held every day.
{% endif %}
{% if meetings.repeat == "WEEKDAY" %}
This meeting is held every weekday.
{% endif %}
{% if meetings.repeat == "WEEKLY" %}
This meeting is held weekly on {{ meetings.StartOn|date:"l"}}.
{% endif %}
{% if meetings.repeat == "MONTHLY" %}
This meeting is held monthly on the {{ meetings.getStartWeekDay }} {{ meetings.StartOn|date:"l"}} of the month.
{% endif %}
{% if meetings.repeat == "YEARLY" %}
This meeting is held annualy on the {{ meetings.getStartWeekDay }} {{ meetings.StartOn|date:"l"}} in {{ meetings.StartOn|date:"F"}}.
{% endif %}
{% else %}
{% if meetings.StartOn %}
{{ meetings.StartOn|date:"l, F dS, Y"}}
{% endif %}
{% if meetings.EndsOn %}
to {{ meetings.EndsOn|date:"l, F dS, Y"}}.
{% endif %}
{% endif %}
{% else %}
{% if meetings.repeat != "NEVER" %}
{% if meetings.repeat == "DAILY" %}
This meeting is held every day from {{ meetings.StartOn|date:"P"}} to {{ meetings.EndsOn|date:"P"}}.
{% endif %}
{% if meetings.repeat == "WEEKDAY" %}
This meeting is held every weekday from {{ meetings.StartOn|date:"P"}} to {{ meetings.EndsOn|date:"P"}}.
{% endif %}
{% if meetings.repeat == "WEEKLY" %}
This meeting is held weekly on {{ meetings.StartOn|date:"l"}} from {{ meetings.StartOn|date:"P"}} to {{ meetings.EndsOn|date:"P"}}.
{% endif %}
{% if meetings.repeat == "MONTHLY" %}
This meeting is held monthly on the {{ meetings.getStartWeekDay }} {{ meetings.StartOn|date:"l"}} of the month from {{ meetings.StartOn|date:"P"}} to {{ meetings.EndsOn|date:"P"}}.
{% endif %}
{% if meetings.repeat == "YEARLY" %}
This meeting is held annualy on the {{ meetings.getStartWeekDay }} {{ meetings.StartOn|date:"l"}} in {{ meetings.StartOn|date:"F"}} from {{ meetings.StartOn|date:"P"}} to {{ meetings.EndsOn|date:"P"}}.
{% endif %}
{% else %}
{% if meetings.StartOn %}
{{ meetings.StartOn|date:"l, F dS, Y; P "}}
{% endif %}
{% if meetings.EndsOn %}
to {{ meetings.EndsOn|date:"l, F dS, Y; P "}}.
{% endif %}
{% endif %}
{% endif %}
Meeting Contact
{{ meetings.MeetingPerson }}
{{ meetings.MeetingPersonPhone }}
{{ meetings.MeetingPersonEmail|urlize }}
{% endif %}
{% empty %}
No Regular Public Meetings
{% endfor %}
{% if location.getSurveyObject.accomplish_one_title %}
1. {{ location.getSurveyObject.accomplish_one_title }}
{% endif %}
{% if location.getSurveyObject.accomplish_one_description %}
{{ location.getSurveyObject.accomplish_one_description }}
{% endif %}
{% if location.getSurveyObject.accomplish_two_title %}
2. {{ location.getSurveyObject.accomplish_two_title }}
{% endif %}
{% if location.getSurveyObject.accomplish_two_description %}
{{ location.getSurveyObject.accomplish_two_description }}
{% endif %}
{% if location.getSurveyObject.accomplish_three_title %}
3. {{ location.getSurveyObject.accomplish_three_title }}
{% endif %}
{% if location.getSurveyObject.accomplish_three_description %}
{{ location.getSurveyObject.accomplish_three_description }}
{% endif %}
{% if location.getSurveyObject.accomplish_four_title %}
4. {{ location.getSurveyObject.accomplish_four_title }}
{% endif %}
{% if location.getSurveyObject.accomplish_four_description %}
{{ location.getSurveyObject.accomplish_four_description }}
{% endif %}
{% if location.getSurveyObject.accomplish_five_title %}
5. {{ location.getSurveyObject.accomplish_five_title }}
{% endif %}
{% if location.getSurveyObject.accomplish_five_description %}
{{ location.getSurveyObject.accomplish_five_description }}
{% endif %}


Hello Earth!
It's the time of year again where I let all my invisible internet friends know about my Python adventures! So let's get down to it!
Loggin' In!
Over the past few days Evan and I have wrangled the Django system into letting us place the signup and login forms on the same page and I think we've really got something nice here. There's always room for more tests but it's such a careful line to walk when working with a codebase that you didn't write. Do I test to see if Django is still working like it was when I wrote the login? Is that a waste of time? What if Django radically rewrites their built-in login functions? In the end, I settled on a few simple tests, so let's dig in!
URLs
Here's the relevant parts of the url.py file we settled on:
from django.conf.urls import url from django.contrib import admin from soundboard import views urlpatterns = [ url(r'^admin/', admin.site.urls), url(r'^login/$', views.login_user, name='login_user'), url(r'^signup/$', views.signup, name='signup'), url(r'^login_or_signup/$', views.login_or_signup, name='login_or_signup'), ]
The login_or_signup/
URL is the landing page that the nav bar will point to. The specific signup and login routes will handle the given action of each flow, signing up and logging respectively. login_user
will send you down to the login
route, and signup
to the signup
route.
Template
{% extends 'soundboard/base.html' %} {% block content %} <form method="post" action="/login/">
 Log In!
 {% csrf_token %} {{ authentication_form.as_p }} <button type="submit">Login</button> </form> <form method="post" action="/signup/">
 Sign Up!

To sign up, please provide an email, desired username, and password.
 {% csrf_token %} {{ user_creation_form.as_p }} <button type="submit">Sign up</button> </form> {% endblock %}
Here we're etablishing the login form from our views with the variable authentication_form
, and letting Django populate that sucker with as_p
which generates said form with
 tags. We do the same for the signup form with the variable user_creation_form
. This view might evolve over time with ever increased fancyness but this gets the job done for now.
Views
Here are the relevant parts of the views.py file needed to use Django's built-in user authentication tools.
from django.shortcuts import render, redirect from django.contrib.auth.decorators import login_required from django.contrib.auth.forms import AuthenticationForm, UserCreationForm from django.views.decorators.csrf import csrf_protect from django.contrib.auth import login, authenticate from django.contrib.auth.models import User from django import forms
We opted to use decorators for the CSRF tokens due to the ease of use, and the rest were imported in order to use some built-in authentication features of Django.
class SignUpForm(UserCreationForm): email = forms.EmailField(max_length=254, help_text='Required. Submit a valid email address.') class Meta: model = User fields = ('username', 'email', 'password1', 'password2', )
Here we're establishing the user model and adding in the email field to the UserCreationForm
.
@csrf_protect def login_user(request): if request.method != 'POST': return redirect('/login_or_signup/') authentication_form = AuthenticationForm(data=request.POST) if not authentication_form.is_valid(): return login_or_signup(request, authentication_form=authentication_form) username = authentication_form.cleaned_data.get('username') password = authentication_form.cleaned_data.get('password') user = authenticate(username=username, password=password) login(request, user) return redirect('your_boards')
Alright so here comes some pure, unadaultered magic. So first thing's first, the form was decorated with CSRF tokens. Next some logic to prevent some sneaky users or an eager search index that tries to let a user try to pull a fast one and just GET themselves to a login_user
route. They'll be appropriately redirected back to the login_or_signup
route to POST a login attempt. Following this, if the authentication form isn't valid we'll send the user back to the form and let Django throw some validation messages on the form.
If the form submits with valid inputs, we'll redirect the user to the your_boards
URL, which is the logical place for soundboard users to be after a successful login.
@csrf_protect def signup(request): if request.method != 'POST': return redirect('/login_or_signup/') user_creation_form = SignUpForm(data=request.POST) if not user_creation_form.is_valid(): return login_or_signup(request, user_creation_form=user_creation_form) user_creation_form.save() username = user_creation_form.cleaned_data.get('username') password = user_creation_form.cleaned_data.get('password1') user = authenticate(username=username, password=password) login(request, user) return redirect('your_boards')
The signup form follows more or less the same logic as the login. CSRF protected, no sneaky GETs, and we'll let Django handle the validations to the user models.
def login_or_signup(request, authentication_form=None, user_creation_form=None): if authentication_form is None: authentication_form = AuthenticationForm() if user_creation_form is None: user_creation_form = SignUpForm() return render(request, "soundboard/login_or_signup.html", {'authentication_form': authentication_form, 'user_creation_form': user_creation_form})
Finally, we set up some logic for login_or_signup
to display each form without any settings in place each time one form is submitted and potentially redirected back to the page.
Tests!
While writing some functional that gets one to your next step is all fine and good, you'll want to add some tests in place that affirm your code does what you set out for it to do. Moreover, it's a good means for future developers (myself included) of this open source soundboard generator to ensure their updates don't break key functionatly. Here's some basic tests we settled on to make sure things run 👌.
These tests should be very self explanitory (otherwise they don't really work well as tests) so I'll keep the words to a minimum.
from django.test import TestCase, Client from django.contrib.auth.models import User class AuthenticationTestCase(TestCase): def test_signup_creates_user(self): client = Client() client.post('/signup/', { 'username': 'ryguy', 'email'<EMAIL_ADDRESS>'password1': 'mtxMAPC6ch1EP', 'password2': 'mtxMAPC6ch1EP', }) new_user = User.objects.get(username='ryguy') self.assertEqual(new_user.email<EMAIL_ADDRESS>POSTing a valid form to the signup route makes a new user with the data from that form.
def test_signup_redirects_to_your_boards(self): client = Client() response = client.post('/signup/', { 'username': 'ryguy', 'email'<EMAIL_ADDRESS>'password1': 'mtxMAPC6ch1EP', 'password2': 'mtxMAPC6ch1EP', }) self.assertEqual(response.url, '/your_boards/')
After a successful signup, we redirect the user to your_boards.
def test_login_redirects_to_your_boards(self): User.objects.create_user('ryguy'<EMAIL_ADDRESS>'mtxMAPC6ch1EP') client = Client() response = client.post('/login/', { 'username': 'ryguy', 'password': 'mtxMAPC6ch1EP', }) self.assertEqual(response.url, '/your_boards/')
Just like with a signup, a successful login gets redirected to your_boards
def test_get_call_to_login_redirects_to_login_or_signup(self): client = Client() response = client.get('/login/') self.assertEqual(response.url, '/login_or_signup/')def test_get_call_to_signup_redirects_to_login_or_signup(self): client = Client() response = client.get('/signup/') self.assertEqual(response.url, '/login_or_signup/')
A sneaky GET is met with a redirect back to signup_or_login.
And that's just about it! The site now lets you sign up and log in, and we didn't compromise on separating those two view onto descrete URL's. I'm super happy about how all this went and learned a LOT about testing and general Django wranglin'.
Conclusions
Since this is the final sanctioned blog, it'll probably be a good while before I update you all with anymore progress. However I have good faith I'll be able to at least pull off a basic sound upload UI and some basic soundboard templates before the big day in December.
Oh and before I forget, Evan is amazing and I legitimately look forward to every opprotunity I have left to work with him on this project. Chipy rules, Python rules and I am one lucky duck to have been admitted into this program. Someday I hope to be able to give back so I'll keep at it untill then!
The Development Soundboard Link For The CuriousUntill next time!