|
{{response.text}} |
For more sophisticated results please click :
| Reply matrix dimension | Replies number |
|---|---|
| Audial | {{Audialscore()}} / {{ quiz.questions.length}} |
| Visual | {{Visualscore()}} / {{ quiz.questions.length }} |
| Kinestetical | {{Kinesteticalscore()}} / {{ quiz.questions.length }} |
| Question number | Reply value selected | Chronbach alpha of reply |
|---|---|---|
| 1st | {{Totalscore()[0]}} | {{Cronbach()[0][userAudial[0]]}} |
| 2nd | {{Totalscore()[1]}} | {{Cronbach()[1][userAudial[1]]}} |
| 3rd | {{Totalscore()[2]}} | {{Cronbach()[2][userAudial[2]]}} |
| 4th | {{Totalscore()[3]}} | {{Cronbach()[3][userAudial[3]]}} |
| 5th | {{Totalscore()[4]}} | {{Cronbach()[4][userAudial[4]]}} |
Thank you for completing the questionaire. You will be redirected to the course page after 5 seconds, or you can click here.
{{Redirect()}}


This is a short list of known issues.
There is a know mountpoint path length limitation issue on FreeBSD which is set to a historical 88 character limit.
This issue does not affect iocage jails from functioning properly, but can present challenges when diving into ZFS snapshots (cd into .zfs/snapshots, tar, etc.).
ZFS snapshot creation and rollback is not affected.
To workaround this issue iocage 1.6.0 introduced a hack88 property.
Example:
Shut down jail:
iocage stop myjail
Set the hack88 property to “1”:
iocage set hack88=1
Start jail:
iocage start myjail
To revert back to full paths repeat the procedure but set hack88=0.
To create a system wide default (introduced in 1.6.0) for all newly created jails use:
iocage set hack88=1 default
iocage does not validate properties right now. Please refer to man page to see what is supported for each property. By default iocage pre-configures each property with a safe default.
VNET/VIMAGE can cause unexpected system crashes when VNET enabled jails are destroyed - that is when the jail process is killed, removed, stopped.
As a workaround iocage allows a warm restart without destroying the jail. By default the restart sub-command will execute a warm restart.
Example:
iocage restart UUID
FreeBSD 10.1-RELEASE is stable enough to run with VNET and warm restarts. There are production machines with iocage and VNET jails running well beyond 100 days of uptime running both PF and IPFW.


ClipData
public struct ClipData : Unmarshaling
ClipData
is a class that encapsulates all of the information of a single returned clip from
the returned array of Clip data from the New Twitch API’s Clips
methods.
-
broadcasterId
specifies the ID of the user from whose stream the clip was taken from.Declaration
Swift
public let broadcasterId: String
-
broadcasterName
specifies the name of the user from whose stream the clip was taken from.Declaration
Swift
public let broadcasterName: String
-
creationDate
specifies when the clip was created.Declaration
Swift
public let creationDate: Date
-
creatorId
specifies the ID of the user from who created the clip.Note
This shares no relationship with the broadcaster from whose stream the clip was from. SeebroadcasterId
for that property instead.Declaration
Swift
public let creatorId: String
-
creatorName
specifies the name of the user who created the clip.Note
This shares no relationship with the broadcaster from whose stream the clip was from. SeebroadcasterName
for that property instead.Declaration
Swift
public let creatorName: String
-
embedURL
specifies the URL for which you can embed this clip into your application.Declaration
Swift
public let embedURL: URL
-
gameId
specifies the ID of the game from which the clip was taken from.Declaration
Swift
public let gameId: String
-
clipId
specifies the ID of the clip.Declaration
Swift
public let clipId: String
-
language
specifies the language of the stream when the clip was created.Declaration
Swift
public let language: String
-
thumbnailURL
specifies the URL of the clip thumbnail.Declaration
Swift
public let thumbnailURL: URL
-
title
specifies the title of the clip.Declaration
Swift
public let title: String
-
clipURL
specifies the URL where the clip can be viewed.Note
This is not the same as the url to embed the clip.Declaration
Swift
public let clipURL: URL
-
videoId
specifies the ID of the stream/video from which this clip was taken from.Declaration
Swift
public let videoId: String
-
viewCount
specifies the amount of views this clip has.Declaration
Swift
public let viewCount: Int
-
Initializes a
ClipData
object from the inputMarshaledObject
. This will throw if there is missing data from the inputMarshaledObject
.Throws
If data is missing that was expected to be non-nil
.Declaration
Swift
public init(object: MarshaledObject) throws
Parameters
object
The object to initialize a
ClipData
piece from


idlerpg-bot
Simple chatbot implementing IdleRPG, a self-playing game which rewards users for
inactivity. This is the main bot code, which connects idlerpg
with
the doorman
chatbot framework.
Quick Start
Copy config.json.sample
to config.json
and change to suit your needs.
Configuration values include services
, which can be configured to support any
Doorman service — as of this writing, this includes slack
, matrix
, and
discord
.
Options
interval
specifies the "tick" interval in milliseconds (default: 60 seconds)luck
specifies the base encounter chance between 0 and 1 (default: 0.05)
Support
If you need help, please open an issue.


Insert a Quiz
Make your page interactive by adding one or multiple quizzes!
Each quiz contains an introduction page and a result page.
The demonstration Quiz! #1
Answer the questions correctly to unlock a prize!
StartResult!
Correct:
Incorrect:
-
Alamosaurus was found in which country?
- France
- U.S.A
- Mongolia
-
Which was the smallest known member of the titanosaur family?
- Hypacrosaurus
- Maiasaura
- Magyarosaurus
The demonstration Quiz! #2
Answer the questions correctly to unlock a prize!
StartResult!
Correct:
Incorrect:
-
Alamosaurus was found in which country?
- France
- U.S.A
- Mongolia
-
Which was the smallest known member of the titanosaur family?
- Hypacrosaurus
- Maiasaura
- Magyarosaurus
The demonstration Quiz! #2
Answer the questions correctly to unlock a prize!
StartResult!
Correct:
Incorrect:
-
Alamosaurus was found in which country?
- France
- U.S.A
- Mongolia
-
Which was the smallest known member of the titanosaur family?
- Hypacrosaurus
- Maiasaura
- Magyarosaurus


SIMPLE & STRAIGHTFORWARD
Vaporware vexillologist woke, tumeric food truck vape distillery. Hammock cardigan copper mug pour-over. Mlkshk schlitz selvage, swag taxidermy sartorial pickled. Direct trade jianbing bitters chicharrones.
 Drinking vinegar tote bag woke, crucifix asymmetrical helvetica yr umami aesthetic williamsburg hella raw denim kogi bespoke salvia. Cray four dollar toast aesthetic scenester artisan lo-fi, flannel la croix gentrify. Letterpress kinfolk vinyl hot chicken swag.
OH, AND IT'S FREE
Kickstarter trust fund you probably haven't heard of them vexillologist scenester la croix. Typewriter leggings live-edge, deep v photo booth 90's marfa bushwick.
1. KNOW YOUR WORTH
Vaporware vexillologist woke, tumeric food truck vape distillery. Hammock cardigan copper mug pour-over of pour-over locavore.
2. CREATE A BUDGET
Fap green juice mixtape, woke ethical poutine franzen. Drinking vinegar tote bag woke, crucifix asymmetrical helvetica yr umami aesthetic williamsburg hella raw denim kogi bespoke salvia. Cray four dollar toast aesthetic scenester artisan lo-fi.
3. PAY OFF DEBT
Kickstarter trust fund you probably haven't heard of them vexillologist scenester la croix. Typewriter leggings live-edge, deep v photo booth 90's marfa bushwick.
4. LEARN TO SAVE
Kickstarter trust fund you probably haven't heard of them vexillologist scenester la croix. Typewriter leggings live-edge, deep v photo booth 90's marfa bushwick.
5. PUT YOUR MONEY TO WORK
Kickstarter trust fund you probably haven't heard of them vexillologist scenester la croix. Typewriter leggings live-edge, deep v photo booth 90's marfa bushwick.


Yate
Yate
Administrator
Logout
Dashboard
Anayltic
Orders
Products
Users Management
Dashboard
Overview
Weekly Sales
500,000 MMK
View
Weekly Orders
100
View
Users
12,000
View
Recent Orders
Name
Phone
Ordered Date
Status
Action
Mg Mg
0912345678
5 NOV 2020
Payment Pending
View
Tun Tun
0912345678
5 NOV 2020
Payment Pending
View
Su Su
0912345678
5 NOV 2020
Payment Confirmed
View
Kyaw Kyaw
0912345678
5 NOV 2020
Payment Confirmed
View


songLab is a social web application that allows musicians to connect with other artists and contribute to projects in need of creative collaboration. Users can upload their own projects or browse those that others have posted, sending collaboration requests to the owners of projects they want to work with.
Since conception, songLab has grown through several iterations, including its first, fully functioning prototype built in PHP by a team, and most recently a design overhaul prototyped for both mobile and desktop. This case study will outline the context, challenge, solution, and results for both iterations.
I came up with the idea for songLab in 2014, after conducting a musical experiment with my friend Amy who lived on the opposite coast -- we each wrote lyrics and exchanged them, challenging the other to write and perform the music before sending them back to each other. The whole process was extremely artistically stimulating; it revealed patterns and differences in musical style and process, and it allowed us to approach the work of another artist from an empathetic standpoint. Plus - it was rad. It wasn't long before I thought, why doesn't every musician try this? What if I could find musicians that can add musical elements to my projects that I can't add myself?
And so, songLab was conceived. But it wasn't until a year later when I started working in Web Development that I was able to bring it to life.
I proposed songLab as a group project idea during my web dev bootcamp at Epicodus. My team consisted of a fellow front-end dev and three PHP devs for back-end development. As a beginner to development, I was psyched to find a smart, badass team to help build out my idea.
To allow users to create profiles and upload their unfinished projects that they want to add some flavor to.
To create a space for musicians to connect, with an archive of uploaded projects that users can filter and browse through, finding projects they love and want to contribute to.
To Connect, Collaborate, and Create something beautiful. Together.
For the first version of songLab, I worked as one of two front-end developers. Although this version was planned and fully built out in 4 days, it is fully functioning and hosted on heroku. Here's a quick overview of this first iteration.
Outline of goals, concept, specifications, expectations
Low-fidelity wireframes to display proof of concept, user flow, and an MVP
An animation with moving music bars.
Colorful, inviting, exciting, display of completed collabs.
Where users can upload projects and view collab requests.
A place for users to easily view projects open for collaboration.
Provides clarity and project history.
Allows users to listen to or view projects that are open.
Globally styled modals for stylistic cohesiveness.
After completing this first version of songLab (again - in four days!), I started my design course and wanted to take the opportunity to do more with my idea -- to create a songLab prototype with a sleeker design that included the extra features we didn't get to during group week. Here's my design process.
The first step in my design overhaul was to compile a visual inspiration and mood board, including choosing a color palette, creating a word cloud, finding image assets, creating a logo, and establishing typography.
Next, in order to clearly understand the types of users the app would be interacting with, I created user personas and drew out an organized user flow in order to optimize my creative process to the needs of my potential users.
Following atomic design practices, I created reusable symbols to make my Sketch design process fast and consistent.
After finishing my high-fidelity mockups, I imported my Sketch files into Invision to create a fully interactive design prototype for desktop and mobile.
With both a fully-functioning first iteration and a design overhaul prototype ready for development, I am elated to watch this project come to life.


Q: What is grid based design?
A: A grid based design divides the whole webpage into rows containing columns. Alot of web developers use 12 columns
Q: Whats all the hype about responsive webpages?
A: Responsive webpage means that whatever device your on it'll adapt to your screen. It also allows you to use less code instead of typing alot of different files for different size devices you only need to write one set of code.
Q: What is semantic structure?
A: A semantic structure is the way the information is laid out in the semantic tags which are "< >" inbetween the semantic tags is where you put you information or how you lay the webpage out for css.
eg. < h1 > < title > < div > < head > < body >


1 Samuel 17:4
And there went out a champion out of the camp of the Philistines, named Goliath, of Gath, whose height was six cubits and a span.


|
Referee
61
|
Vollständige Aufstellung aller Elemente für Referee einschließlich aller geerbten Elemente.
| abValues(double a, double b) | Referee | signal |
| connected() | Referee | signal |
| connectFailed() | Referee | signal |
| connectToServer(const QString &ip, int port) | Referee | |
| detectionStart() | Referee | signal |
| disconnected() | Referee | signal |
| gameOver() | Referee | signal |
| gameStart() | Referee | signal |
| isConnected() | Referee | |
| isVerbose() | Referee | |
| Referee(int teamID, QObject *parent=0) | Referee | |
| reportDone() | Referee | |
| reportGoal() | Referee | |
| reportReady() | Referee | |
| sendAlive() | Referee | |
| setVerbose(bool enabled) | Referee | |
| stopMovement() | Referee | signal |
| tellAbRatio(double ratio) | Referee | |
| tellEgoPos(double posX, double posY) | Referee | |
| tellTeamColor(TeamColor color) | Referee | |
| trueColorOfTeam(TeamColor color) | Referee | signal |
| ~Referee() | Referee |


{% extends "base.html" %} {% block title %}Manage User Certificate and Keys{% endblock title %} {% block content %}
| Uniform Resource Name (URN) | {{ cert.get_urn }} |
|---|---|
| Human Readable Name (HRN) | {{ cert.get_hrn }} |
| Issuer URN | {{ cert.parent.get_urn }} |
| Issuer HRN | {{ cert.parent.get_hrn }} |
| Issuer URN | self |
| Issuer HRN | self |
| Valid Not Before | {{ cert.get_notBefore }} |
| Valid Not After | {{ cert.get_notAfter }} |
This user currently has no GENI user certificates. Click "Generate" below to create a new one.
{% endif %}Your certificate:
Your certificate key: Private key associated with your certificate is not stored on server. Private key is made available for download only once when the certificate is generated. You may regenerate your certificate to get a new pair of certificate and key.
{% else %} {% endif %} {% comment %} {% endcomment %}Public SSH key: {% if public_ssh_key_exists %} {% endif %}
Private SSH key: Private SSH key is not stored on server. Private key is made available for download only once when the SSH key pair is generated. You may regenerate a new pair of SSH keys.


{% extends "base.html" %} {% block title %}
We think the internet can’t be saved. The way things are going, MEGACORP will always control our apps and services because we can no longer run them ourselves.
The only way out of this mess is with a completely new platform that’s owned and controlled by its users.
Urbit is a new OS and peer-to-peer network that’s simple by design, built to last forever, and 100% owned by its users. Under the hood, Urbit is a clean-slate software stack compact enough that an individual developer can understand and control it completely.
We built this new stack to give people a single integrated tool for communicating and building communities – a tool they can trust, control, and extend to their liking. We want to do away with the terrible user experience of the current ‘frankenstack’ of apps and services that we all use today.
Urbit is designed to become an effective, customizable productivity tool for collaborators, and a calm noninvasive communication tool for friends and families.
This probably sounds crazy, so let’s get concrete and talk about (1) Urbit as a piece of technology and (2) Urbit as a user experience.
1 - Technology
Technically, Urbit is two components: Urbit OS and Urbit ID.
Both are completely open source and MIT licensed.
Urbit OS is a new, carefully architected software stack: a VM, programming language and kernel designed to run software for an individual.
Urbit OS is a program that runs on almost any cloud server, most laptops and many phones: anything with Unix and an internet connection. Urbit OS is completely sealed from the system it runs on, sort of like WASM or the JVM. We sometimes call it an ‘overlay OS’.
In an Urbit world, each person has their own Urbit OS node, or ‘urbit’. Your urbit is secure and private to you and entirely under your control. When you want to connect with others, you connect to their urbit directly — rather than going through a centralized service.
If you’re curious to dive even deeper into Urbit OS, feel free to skip ahead.
Urbit ID is an identity and authentication system specifically designed to work with Urbit OS. When you boot or log in to Urbit OS, you use your Urbit ID.
Your Urbit ID is a short, memorable name (like ~ravmel-ropdyl
) that’s a username, network address and crypto wallet all in one. It’s registered on a blockchain, you own it with a key and no one can take it away from you. Urbit IDs are cryptographic property.
Urbit IDs aren’t money, but they are scarce, so each one costs something. This means that when you meet a stranger on the Urbit network, they have some skin in the game and are less likely to be a bot or a spammer.
The Urbit ID system is live and deployed, and we don’t plan to change it all that much. It works well. If you’re curious to dive further into the details, jump ahead to this post.
2 - User experience
We want Urbit to be a single, simple interface for your whole digital life.
Over the years, Urbit has been built in public as an open source project. Anyone can join the network and check out what we’re up to. It’s a bit like signing on to IRC in the early 90s.
In early 2020, we released Urbit OS 1: a minimal interface for group communication, and our first complete interface. OS 1 is a tool to chat, share notes and links, and stay connected.
OS 1 is the first step toward a truly complete OS for a networked world.
Over time, Urbit will grow into a system that can bring together all our different modes of communicating: chat, payments, documents, images, biometric data. We want individuals and their communities to be able to both control their software in fact, through the source code, and in action, through a simple interface.
We want to leave behind a world of apps and services for one where we can bring everything together in one place. And, in doing so, ordinary users can create customized digital environments for their friends and communities.
To see how we’re going to get there, let’s walk through these two pieces of new technology individually, Urbit OS and Urbit ID. We’ll then talk about our vision for the future and how we’ll get there.
For technical people, it’s important to note that Urbit as a stack is in no way required to be used together. Don’t like our client? Feel free to build your own. Just like the Urbit ID system? No problem — use it!
Ultimately, we think that new technology is most likely to get adopted if it can provide a much, much better user experience. So that’s what we’re focussing on creating.
If you’d like to follow our progress, we send monthly updates via email:
You can also follow us on Twitter or GitHub.
Or, preferably, on Urbit itself in the ~bitbet-bolbel/urbit-community


The Mentalist is a crime drama that aired from 23SEP2008 until 18FEB2015 on CBS. There are seven seasons totaling at 151 episodes. The show follows Patrick Jane, a police consultant after the tragic death of his wife and child by a serial killer known as "Red John". Throughtout the show, Jane and the major crimes team he works with travel all over southern California investigating and closing cases they are assigned. He uses his skills from years of pretending to be a psychic to catch all sorts of criminals with his rather unusual methods.


Ettus USRP x310 installation on Ubuntu
Vivado 2017.4 Version (Aug 2018)
-
Install Xilinx Vivado 2017.4 from https://www.xilinx.com/support/download/index.html/content/xilinx/en/downloadNav/vivado-design-tools/2017-4.html
-
sudo apt install python-pip
-
Configure licence by putting the below in ~/.bashrc
export XILINXD_LICENSE_FILE=2100@tuna.staff.sydney.edu.au:/opt/Xilinx/13.4/license/Xilinx.lic
source ~/.bashrc
-
Install UHD and GNU Radio by following instructions at https://kb.ettus.com/Building_and_Installing_the_USRP_Open-Source_Toolchain_(UHD_and_GNU_Radio)_on_Linux.
-
Install RFNoC files https://kb.ettus.com/Getting_Started_with_RFNoC_Development
Vivado 2015.4 Version (Jun 2017)
Host computer requirements for installing the Ettus USRP x310 along with keras are:
-
The host machine must be 64-bit compatible (you can check under linux by typing
grep /proc/cpuinfo
which should have the “lm” flag present). -
You also need about 50GB of free disk space for the Xilinx tools.
The steps are:
-
(USRP hardware) Insert RF daughtercard and run cables from daughtercard to front panel
-
(Python) Install some basic development packages (https://files.ettus.com/manual/page_build_guide.html#build_dependencies)
sudo apt-get install libboost-all-dev libusb-1.0-0-dev python-mako doxygen python-docutils cmake build-essential
sudo apt-get install python-pip
pip install --upgrade pip
- (Tensorflow and Keras)Install according to http://www.pyimagesearch.com/2016/11/14/installing-keras-with-tensorflow-backend/
sudo pip install virtualenv
sudo pip install virtualenvwrapper
export WORKON_HOME=~/Envs # needed later for virtualenvwrapper
mkdir -p $WORKON_HOME
source /usr/local/bin/virtualenvwrapper.sh
mkvirtualenv keras_tf
workon keras_tf
pip install tensorflow
pip install keras
pip install requests
- (Xilinx) Download Xilinx software (must be version 2015.4) and install using sudo. While you are there also get the free licence for
ten_gig_eth_pcs_pma
. Put the following line in /etc/udev/rules.d/70-persistent-net.rules and reboot (this is needed to change the ethernet device from en0 to eth0 which is needed for the Xilinx license system
SUBSYSTEM=="net", ACTION=="add", DRIVERS=="?*", ATTR{address}=="02:01:02:03:04:05", ATTR{dev_id}=="0x0", ATTR{type}=="1", NAME="eth0"
then add the following line to ~/.bashrc
export XILINXD_LICENSE_FILE=2100@tuna.staff.sydney.edu.au:/opt/Xilinx/13.4/license/Xilinx.lic
source ~/rfnoc/setup_env.sh
and reboot. This should change it in
ifconfig
source ~/.bashrc
# source /opt/Xilinx/Vivado/2015.4/settings64.sh
# export WORKON_HOME=~/Envs # needed later for virtualenvwrapper
# source /usr/local/bin/virtualenvwrapper.sh
- (Network connection to x310) Install ethernet SFP and make sure you use a 1G ethernet crossover cable (supplied with the system) to connect to a PC. The Apple USB ethernet adaptor doesn’t appear to work with the USRP x310! Configure your machine with an ethernet port which has a static ip address of <IP_ADDRESS>. Turn on the Ettus x310.
ping <IP_ADDRESS>
should work.
- (PyBombs) Install pybombs and gnuradio (https://github.com/gnuradio/pybombs)
sudo apt-get install git
sudo apt-get install python-setuptools python-dev python-pip build-essential
sudo pip install git+https://github.com/gnuradio/pybombs.git
pybombs recipes add gr-recipes git+https://github.com/gnuradio/gr-recipes.git
pybombs recipes add ettus git+https://github.com/EttusResearch/ettus-pybombs.git
pybombs prefix init ~/rfnoc -R rfnoc -a rfnoc
source ~/rfnoc/setup_env.sh
- (RFNoC tutorial) You should now be able to run the tutorial at https://kb.ettus.com/Getting_Started_with_RFNoC_Development.
*
* I changed rfnoc/src/uhd-fpga/usrp3/top/x300/setupenv.sh to reflect the version of Vivado being used.
cd ~/rfnoc
source setup_env.sh
cd ~/rfnoc/src/uhd-fpga/usrp3/top/x300
source setupenv.sh
make cleanall
make X310_HG # progress and output files in ~/rfnoc/src/uhd-fpga/usrp3/top/x300/build-X310_HG
- Install and excecute https://github.com/Xilinx/RFNoC-HLS-NeuralNet
* To generate a bitstream:
source ~/rfnoc/setup_env.sh
cd ~/rfnoc/src/uhd-fpga/usrp3/tools/script
./uhd_image_builder.py window fft exmodrec -d x310 -t X310_RFNOC_HLS_HG -m 5 -I /home/vivado/rfnoc/src/rfnoc-hls-neuralnet/ --fill-with-fifos -c
* Note that device is xc7k410tffg900-2


etf.investments - Frequently Asked Questions
What is etf.investments?
etf.ivestments is a site that monitors and highlights daily ETF Fund Flows
Why? ETFs allow us to monitor prices and fund flows acoss sectors, factors, investment styles and countries. This page calculates flows for yesterday, last 1 month and last 3 months for a select set of ETFs. Monitoring these statistics gives us an understanding on where money is moving. We may be able to discern whether returns are driven by flows or fundamentals. Some flows, especially for US Sector SPDRs, SPY, MDY or QQQ may be due to "funding trades" conducted by Delta One desks. In these scenarios, short-term flows may be disconnected from actual thematic investment ideas.
What universe do you cover?
US ETFs
Where do you get your data?
ETF fund flows are derived from daily shares outstanding numbers. This is publicly available data that can be found on most ETF issuer's fund page.
How timely is your data?
We make every effort to get the latest information around fund flows and update the site before the US market open. Intraday pricing data is provided for free by IEX via their API.
What is a creation or redemption?
Creations and redemptions are the mechanism by which you can trade directly with the ETF Fund. Only Authorized Participants can trade in this way. Monitoring ETF fund flows effectively monitors the net daily creations-redemption activity.
What is VolProj or Volume Projection
Volume Projection = (Current Volume / ADV ) / Typical % VWAP Completion at EST Time
Are there minimum AUM thresholds an ETF must reach to appear on the site?
Yes, in most cases the fund must have at least $5mm in assets to appear. The exception is for the "Newest ETF Listings" page.
How timely are the flows?
Our flow statistics are delayed by 2 business days.
When are numbers updated?
Intraday numbers are updated in near realtime thanks to IEX API. Flows and returns are re-calculated around 8AM EST.
How do I get in touch with you?
By email


|
Honey
The Smooth Game Engine
|
Public Member Functions | |
| void | processInput () |
| void | lockInput (float duration_in_seconds) |
| void | unlockInput () |
| bool | locked () |
| int | keyPressed (string key) |
| bool | keyDown (string key) |
| bool | keyUp (string key) |
| bool | threeQuickKey (string key) |
| bool | anyKeyPressed () |
| int | actionPressed (string action) |
| bool | actionDown (string action) |
| bool | actionUp (string action) |
| bool | threeQuickAction (string action) |
| void | addActionKey (string action, string key) |
| void | removeAction (string action) |
| vector< mouseEvent > | getMouseEvents () |
Static Public Member Functions | |
| static Input & | instance () |
The Input class wraps SDL input methods to create an event handling system.
Primarily covered in blog posts:
http://www.friendsonmountains.com/blog/2018/07/11/lets-make-honey-version-0-05-basic-controls
There is a key map which allows you to use short string names instead of SDL constants:
| SDLK_UP | up |
| SDLK_DOWN | down |
| SDLK_RIGHT | right |
| SDLK_LEFT | left |
| SDLK_BACKSPACE | backspace |
| SDLK_TAB | tab |
| SDLK_SPACE | space |
| SDLK_ESCAPE | escape |
| SDLK_RETURN | return |
| SDLK_DELETE | delete |
| SDLK_BACKSLASH | backslash |
| SDLK_QUOTE | quote |
| SDLK_QUOTEDBL | doublequote |
| SDLK_PLUS | + |
| SDLK_COMMA | "," |
| SDLK_MINUS | - |
| SDLK_PERIOD | . |
| SDLK_SLASH | / |
| SDLK_COLON | : |
| SDLK_SEMICOLON | ; |
| SDLK_LESS | < |
| SDLK_EQUALS | = |
| SDLK_GREATER | > |
| SDLK_QUESTION | ? |
| SDLK_AT | @ |
| SDLK_LEFTBRACKET | [ |
| SDLK_RIGHTBRACKET | ] |
| SDLK_CARET | ^ |
| SDLK_UNDERSCORE | _ |
| SDLK_EXCLAIM | ! |
| SDLK_HASH | # |
| SDLK_DOLLAR | $ |
| SDLK_PERCENT | % |
| SDLK_AMPERSAND | & |
| SDLK_LEFTPAREN | ( |
| SDLK_RIGHTPAREN | ) |
| SDLK_ASTERISK | * |
| SDLK_0 | 0 |
| SDLK_1 | 1 |
| SDLK_2 | 2 |
| SDLK_3 | 3 |
| SDLK_4 | 4 |
| SDLK_5 | 5 |
| SDLK_6 | 6 |
| SDLK_7 | 7 |
| SDLK_8 | 8 |
| SDLK_9 | 9 |
| SDLK_KP_0 | 0 |
| SDLK_KP_1 | 1 |
| SDLK_KP_2 | 2 |
| SDLK_KP_3 | 3 |
| SDLK_KP_4 | 4 |
| SDLK_KP_5 | 5 |
| SDLK_KP_6 | 6 |
| SDLK_KP_7 | 7 |
| SDLK_KP_8 | 8 |
| SDLK_KP_9 | 9 |
| SDLK_a | a |
| SDLK_b | b |
| SDLK_c | c |
| SDLK_d | d |
| SDLK_e | e |
| SDLK_f | f |
| SDLK_g | g |
| SDLK_h | h |
| SDLK_i | i |
| SDLK_j | j |
| SDLK_k | k |
| SDLK_l | l |
| SDLK_m | m |
| SDLK_n | n |
| SDLK_o | o |
| SDLK_p | p |
| SDLK_q | q |
| SDLK_r | r |
| SDLK_s | s |
| SDLK_t | t |
| SDLK_u | u |
| SDLK_v | v |
| SDLK_w | w |
| SDLK_x | x |
| SDLK_y | y |
| SDLK_z | z |
|
static |
Singleton instance getter.
| void Honey::Input::processInput | ( | ) |
Process all SDL input events which have occured since the last time this was called.
| void Honey::Input::lockInput | ( | float | duration_in_seconds | ) |
Lock all input for a period of time. All input commands will return negative or zero.
| duration_in_seconds | The duration of the global input lock. |
| void Honey::Input::unlockInput | ( | ) |
Unlock all input, canceling the global input lock.
| bool Honey::Input::locked | ( | ) |
Return true if the input is currently globally locked.
| int Honey::Input::keyPressed | ( | string | key | ) |
Count the number of times this key was pressed.
| key | The short string name for a keyboard key. |
| bool Honey::Input::keyDown | ( | string | key | ) |
Was this key held down?
| key | The short string name for a keyboard key. |
| bool Honey::Input::keyUp | ( | string | key | ) |
Was this key released?
| key | The short string name for a keyboard key. |
| bool Honey::Input::threeQuickKey | ( | string | key | ) |
Convenience method. Was this key pressed three times in a one second interval?
| key | The short string name for a keyboard key. |
| bool Honey::Input::anyKeyPressed | ( | ) |
Convenience method. Was any key pressed?
| int Honey::Input::actionPressed | ( | string | action | ) |
Count the number of times this action was performed.
| action | The name of an action. |
| bool Honey::Input::actionDown | ( | string | action | ) |
Was this action held down?
| action | The name of an action. |
| bool Honey::Input::actionUp | ( | string | action | ) |
Was this action released?
| action | The name of an action. |
| bool Honey::Input::threeQuickAction | ( | string | action | ) |
Convenience method. Was this action performed three times in a one second interval?
| action | The name of an action. |
| void Honey::Input::addActionKey | ( | string | action, |
| string | key | ||
| ) |
Connect a key to an action. Hereafter, if this key is used (pressed, down, or released), this action will also be used.
| action | The name of an action. |
| key | The short string name for a key. |
| void Honey::Input::removeAction | ( | string | action | ) |
Remove or de-register an action from this system.
| action | The name of an action. |
| vector< mouseEvent > Honey::Input::getMouseEvents | ( | ) |
Get a list of mouseEvents since the last processInput.
The list is in time order. Each event is a string button, a string action, and x, y coordinates.
Example list: left, down, 100, 100 none, move, 110, 100 none, move, 110, 110 left, up, 110, 110


Interested in Contributing?
- Check out available resources.
- Create an account and start submitting your own systems.
Scored Systems
| System | Submitter | System Notes | Constraint | Run Notes | BLEU | BLEU (11b) | BLEU-cased | BLEU-cased (11b) | TER | z BLEU-cased-norm | zz BEER 2.0 | zzz CharactTER |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| EDIN-ens4 (Details) | lexi UEdin |
yes |
29.8 |
29.8 |
29.8 |
29.8 |
0.614 |
30.2 |
0.578 |
0.536 |
||
| EDIN-single (Details) | lexi UEdin |
Nematus single best model | yes |
28.9 |
28.9 |
28.9 |
28.9 |
0.619 |
29.3 |
0.571 |
0.538 |
|
| uedin-nmt-2016 (Details) | rsennrich University of Edinburgh |
single system of WMT16 (uedin-nmt-single). Contrastive. | yes |
26.8 |
26.8 |
26.7 |
26.7 |
0.640 |
27.1 |
0.566 |
0.522 |
|
| afrl-mitll-enru-backtrans (Details) | jeremy.gwinnup AFRL |
marian train, amu decode - this system used for backtranslation to generate ru-en data | yes | 1x train, 8 avg model |
25.4 |
25.4 |
25.4 |
25.4 |
0.655 |
25.7 |
0.546 |
0.589 |
| Moses Phrase-Based, word clusters (Details) | jhu-smt Johns Hopkins University |
Pervasive use of word clusters (LM, OSM, sparse features, lexicalized reordering model) | yes | Moses phrase-based, with word cluster LMs |
25.3 |
25.3 |
25.3 |
25.3 |
0.658 |
25.7 |
0.562 |
0.524 |
| PROMT Rule-based (Details) | Alex Molchanov PROMT LLC |
no |
22.3 |
22.2 |
22.3 |
22.2 |
0.667 |
23.4 |
0.549 |
0.528 |
||
| ParFDA (Details) | bicici |
en-ru ParFDA Moses phrase-based SMT system | yes | en-ru (after the deadline) |
21.8 |
21.8 |
21.8 |
21.8 |
0.700 |
22.2 |
0.538 |
0.570 |


Flooring the competition for 50 years
Carpet Castle, the famous discount carpet warehouse in Caerphilly is entering its 50th year and we caught up with Director Andrew Graham to chat about the secret of their success
by Jonny DillonCarpet Castle in Caerphilly have become one of the region’s biggest success stories selling brand name carpets at bargain-basement prices.
As this family business continues to grow, we caught up with director Andrew Graham to talk about the secrets of its success.
Q. How are you able to sell the same carpets as the big national chains at these incredible prices?
A. People in South Wales love a bargain, and by keeping our costs low and being really selective with our buying, we’re able to beat the competition virtually every time. We buy only in full truck loads, direct from the best manufacturers across the UK and Europe and we have a very large storage facility in Caerphilly, so when we find a bargain we can buy massive quantities.
When we do a deal it’s quite common that we’ll clear out an entire factory. Just last week a manufacturer contacted us about an oversupply issue, so we took 400 room-size pieces off their hands and these were top brands - the sort of stuff that would fetch £30 a square metre normally, and we’ll be selling them at about £10 a square metre.
Q. How have you expanded the business?
A. Honestly, when you get the prices and the service levels right the customers just seem to find you. Word of mouth is the best form of advertising. Like I said, we don’t like to waste money on anything and that includes expensive advertising campaigns!
Q. How have things changed in the industry over the last few years?
A. We’ve noticed that our customers have responded really well to the improvements we’ve made to our service levels. We have an amazing team in-store, a really lovely group and they go out of their way to help people.
We deliver within 24 hours, measure up free of charge and even dispose of the customers’ old carpets. The team will always do their best to help every customer save money. We’ve also worked really hard to ensure 100 per cent stock availability on all our best-sellers.
Q. How has the internet impacted the business?
A. The transaction side of things hasn’t been affected at all, but the visibility stuff has, so we’ve built up our online presence in terms of SEO and PPC. However, the biggest factor has been the online customer reviews.
Many of our customers leave reviews on Facebook, Google, Trustpilot and other portals and we’re really lucky to have received hundreds of five star ratings and lovely reviews. These days it’s really important to engage with social media and I think the transparency is appreciated by potential customers.
Q. The business is entering its 50th year, how did it begin?
A. It actually began as a DIY discount centre in the 1970s. My Dad started it with his own savings and an incredible work ethic. He really built it up from nothing.
Today it has obviously grown into something a lot bigger but the central ethos of incredible value for money and down-to-earth service is just as present now as it was when he began all those years ago. We actually still have customers who remember it opening. They have trusted us for almost half a century and that’s something we’re really proud of.
Q. What do you think the future holds for Carpet Castle?
A. Hopefully we’ll keep growing. Every year we take on more staff, expand our product ranges and look for new growth areas like our amazing artificial grass business. We will always look at new ways that we can disrupt the marketplace and offer better value for money for the customer.
Carpet Castle is based on Nantgarw Road in Caerphilly. For more information, go to www.carpetcastlecaerphilly.co.uk


Hello, I'm Esther, aka @esthermations on GitHub! 👋
I have a couple of little thingamajigs hosted here:


Use an animation definition to show and hide an overlay. The show animation
should reverse to hide. This also demonstrates a delay
when showing (2 seconds) and hiding (1 second). The select input element
should appear below the overlay.
Click the button to show the overlay.
Click the button to hide the overlay.
Try clicking the show and hide buttons while it is still animating.
Hello world
Animate with a function.
Animations for showing and hiding are different.
Click the button to show the overlay.
Click the button to hide the overlay.
The H2 elements on the page should be hidden when the overlay is shown.
Try clicking the show and hide buttons while it is still animating.
Hello again.
hideFlash
Overlap intersects with a Flash element.
Click the button to show the overlay.
Click the button to hide the overlay.
Try clicking the show and hide buttons while it is still animating.
Hello
flash
Example
from the docs.
Nothing (including Flash) should ever become hidden when you show the overlay.


| |
|
Hi,
Your account on the NAS has been created ! You can now have access on your personal folder to store your research. Please read and follow the Information in the documentaion to access the NAS and understand the NAS architecture.
Your Login: %LOGIN%
This is an automatic email to notify you that your account is ready. If you have any issue or question you can replay to this email. IMPORTANT: the NAS is accessible only inside the ETS network.
Good luck for your research! Have a nice day.
|
|
|
|


Ryan Destiny Taps Tobi Lou For Assist On "The Same" Remix
Tobi Lou joins Ryan Destiny for an update.
by Milca P.The Same 2.0
Ryan Destiny Feat. Tobi Lou
Editor Rating: HOTTTTT
User Rating: meh - 50% (4)
Singer and actress Ryan Destiny has returned to deliver a refreshed look at her "The Same" single, initially released last year. This time around, she recruits Tobi Lou has he lends his vocals to the updated track, making for a smooth collaboration that is met with an even smoother set of visuals directed by child.
“The record is about a situation with a guy who’s a constant cycle of the same lines, lies, games and little to no effort," she tells Essence. "Tobi adds his perspective from a male standpoint and the two worlds are brought together in an honest but fire way, I think.”
Dig in below.
Quotable Lyrics
I can tell you think it's harmless
But it's lovin' that is hardest
If it's easier to show than say it
Then show me so things fall in place


Methodology
Overview
The Web Almanac is a project organized by HTTP Archive. HTTP Archive was started in 2010 by Steve Souders with the mission to track how the web is built. It evaluates the composition of millions of web pages on a monthly basis and makes its terabytes of metadata available for analysis on BigQuery. Learn more about HTTP Archive.
The mission of the Web Almanac is to make the data warehouse of HTTP Archive even more accessible to the web community by having subject matter experts provide contextualized insights. You can think of it as an annual repository of knowledge about the state of the web, 2019 being its first edition.
The 2019 edition of the Web Almanac is comprised of four pillars: content, experience, publishing, and distribution. Each part of the written report represents a pillar and is made up of chapters exploring its different aspects. For example, Part II represents the user experience and includes the Performance, Security, Accessibility, SEO, PWA, and Mobile Web chapters.
About the dataset
The HTTP Archive dataset is continuously updating with new data
monthly. For the 2019 edition of the Web Almanac, unless otherwise
noted in the chapter, all metrics were sourced from the July 2019
crawl. These results are
publicly queryable
on BigQuery in tables prefixed with 2019_07_01
.
All of the metrics presented in the Web Almanac are publicly reproducible using the dataset on BigQuery. You can browse the queries used by all chapters in our GitHub repository.
For example, to understand the median number of bytes of JavaScript per desktop and mobile page, see 01_01b.sql:
#standardSQL
# 01_01b: Distribution of JS bytes by client
SELECT
percentile,
_TABLE_SUFFIX AS client,
APPROX_QUANTILES(ROUND(bytesJs / 1024, 2), 1000)[OFFSET(percentile * 10)] AS js_kbytes
FROM
`httparchive.summary_pages.2019_07_01_*`,
UNNEST([10, 25, 50, 75, 90]) AS percentile
GROUP BY
percentile,
client
ORDER BY
percentile,
client
Results for each metric are publicly viewable in chapter-specific spreadsheets, for example JavaScript results.
Websites
There are 5,790,700 websites in the dataset. Among those, 5,297,442 are mobile websites and 4,371,973 are desktop websites. Most websites are included in both the mobile and desktop subsets.
HTTP Archive sources the URLs for its websites from the Chrome UX Report. The Chrome UX Report is a public dataset from Google that aggregates user experiences across millions of websites actively visited by Chrome users. This gives us a list of websites that are up-to-date and a reflection of real-world web usage. The Chrome UX Report dataset includes a form factor dimension, which we use to get all of the websites accessed by desktop or mobile users.
The July 2019 HTTP Archive crawl used by the Web Almanac used the most recently available Chrome UX Report release, May 2019 (201905), for its list of websites. This dataset was released on June 11, 2019 and captures websites visited by Chrome users during the month of May.
Due to resource limitations, the HTTP Archive can only test one page from each website in the Chrome UX report. To reconcile this, only the home pages are included. Be aware that this will introduce some bias into the results because a home page is not necessarily representative of the entire website.
HTTP Archive is also considered a lab testing tool, meaning it tests websites from a datacenter and does not collect data from real-world user experiences. Therefore, all website home pages are tested with an empty cache in a logged out state.
Metrics
HTTP Archive collects metrics about how the web is built. It includes basic metrics like the number of bytes per page, whether the page was loaded over HTTPS, and individual request and response headers. The majority of these metrics are provided by WebPageTest, which acts as the test runner for each website.
Other testing tools are used to provide more advanced metrics about the page. For example, Lighthouse is used to run audits against the page to analyze its quality in areas like accessibility and SEO. The Tools section below goes into each of these tools in more detail.
To work around some of the inherent limitations of a lab dataset, the Web Almanac also makes use of the Chrome UX Report for metrics on user experiences, especially in the area of web performance.
Some metrics are completely out of reach. For example, we don't necessarily have the ability to detect the tools used to build a website. If a website is built using create-react-app, we could tell that it uses the React framework, but not necessarily that a particular build tool is used. Unless these tools leave detectible fingerprints in the website's code, we're unable to measure their usage.
Other metrics may not necessarily be impossible to measure but are challenging or unreliable. For example, aspects of web design are inherently visual and may be difficult to quantify, like whether a page has an intrusive modal dialog.
Tools
The Web Almanac is made possible with the help of the following open source tools.
WebPageTest
WebPageTest is a prominent web performance testing tool and the backbone of HTTP Archive. We use a private instance of WebPageTest with private test agents, which are the actual browsers that test each web page. Desktop and mobile websites are tested under different configurations:
| Config | Desktop | Mobile |
|---|---|---|
| Device | Linux VM | Emulated Moto G4 |
| User Agent | Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.100 Safari/537.36 PTST/190704.170731 | Mozilla/5.0 (Linux; Android 6.0.1; Moto G (4) Build/MPJ24.139-64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/65.0.3325.146 Mobile Safari/537.36 PTST/190628.140653 |
| Location |
Redwood City, California, USA The Dalles, Oregon, USA |
Redwood City, California, USA The Dalles, Oregon, USA |
| Connection | Cable (5/1 Mbps 28ms RTT) | 3G (1.600/0.768 Mbps 300ms RTT) |
| Viewport | 1200 x 1920px | 512 x 360px |
Desktop websites are run from within a desktop Chrome environment on a Linux VM. The network speed is equivalent to a cable connection.
Mobile websites are run from within a mobile Chrome environment on an emulated Moto G4 device with a network speed equivalent to a 3G connection. Note that the emulated mobile User Agent self-identifies as Chrome 65 but is actually Chrome 75 under the hood.
There are two locations from which tests are run: California and Oregon USA. HTTP Archive maintains its own test agent hardware located in the Internet Archive datacenter in California. Additional test agents in Google Cloud Platform's us-west-1 location in Oregon are added as needed.
HTTP Archive's private instance of WebPageTest is kept in sync with the latest public version and augmented with custom metrics. These are snippets of JavaScript that are evaluated on each website at the end of the test. The almanac.js custom metric includes several metrics that were otherwise infeasible to calculate, for example those that depend on DOM state.
The results of each test are made available as a HAR file, a JSON-formatted archive file containing metadata about the web page.
Lighthouse
Lighthouse is an automated website quality assurance tool built by Google. It audits web pages to make sure they don't include user experience antipatterns like unoptimized images and inaccessible content.
HTTP Archive runs the latest version of Lighthouse for all of its mobile web pages — desktop pages are not included because of limited resources. As of the July 2019 crawl, HTTP Archive used the 5.1.0 version of Lighthouse.
Lighthouse is run as its own distinct test from within WebPageTest, but it has its own configuration profile:
| Config | Value |
|---|---|
| CPU slowdown | 1x* |
| Download throughput | 1.475 Mbps |
| Upload throughput | 0.675 Mbps |
| RTT | 150 ms |
For more information about Lighthouse and the audits available in HTTP Archive, refer to the Lighthouse developer documentation.
Wappalyzer
Wappalyzer is a tool for detecting technologies used by web pages. There are 65 categories of technologies tested, ranging from JavaScript frameworks, to CMS platforms, and even cryptocurrency miners. There are over 1,200 supported technologies.
HTTP Archive runs the latest version of Wappalyzer for all web pages. As of July 2019 the Web Almanac used the 5.8.3 version of Wappalyzer.
Wappalyzer powers many chapters that analyze the popularity of developer tools like WordPress, Bootstrap, and jQuery. For example, the Ecommerce and CMS chapters rely heavily on the respective Ecommerce and CMS categories of technologies detected by Wappalyzer.
Chrome UX Report
The Chrome UX Report
is a public dataset of real-world Chrome user experiences. Experiences
are grouped by websites' origin, for example
https://www.example.com
. The dataset includes distributions
of UX metrics like paint, load, interaction, and layout stability. In
addition to grouping by month, experiences may also be sliced by
dimensions like country-level geography, form factor (desktop, phone,
tablet), and effective connection type (4G, 3G, etc.).
For Web Almanac metrics that reference real-world user experience data from the Chrome UX Report, the July 2019 dataset (201907) is used.
You can learn more about the dataset in the Using the Chrome UX Report on BigQuery guide on web.dev.
Third Party Web
Third Party Web is a research project by Patrick Hulce, author of the Third Parties chapter, that uses HTTP Archive and Lighthouse data to identify and analyze the impact of third party resources on the web.
Domains are considered to be a third party provider if they appear on at least 50 unique pages. The project also groups providers by their respective services in categories like ads, analytics, and social.
Several chapters in the Web Almanac use the domains and categories from this dataset to understand the impact of third parties.
Rework CSS
Rework CSS is a JavaScript-based CSS parser. It takes entire stylesheets and produces a JSON-encoded object distinguishing each individual style rule, selector, directive, and value.
This special purpose tool significantly improved the accuracy of many of the metrics in the CSS chapter. CSS in all external stylesheets and inline style blocks for each page were parsed and queried to make the analysis possible. See this thread for more information about how it was integrated with the HTTP Archive dataset on BigQuery.
Analytical process
The Web Almanac took about a year to plan and execute with the coordination of dozens of contributors from the web community. This section describes why we chose the metrics you see in the Web Almanac, how they were queried, and interpreted.
Brainstorming
The inception of the Web Almanac started in January 2019 as a post on the HTTP Archive forum describing the initiative and gathering support. In March 2019 we created a public brainstorming doc in which anyone in the web community could write-in ideas for chapters or metrics. This was a critical step to ensure we were focusing on things that matter to the community and have a diverse set of voices included in the process.
As a result of the brainstorming, 20 chapters were solidified and we began assigning subject matter experts and peer reviewers to each chapter. This process had some inherent bias because of the challenge of getting volunteers to commit to a project of this scale. Thus, many of the contributors are members of the same professional circles. One explicit goal for future editions of the Web Almanac is to encourage even more inclusion of underrepresented and heterogeneous voices as authors and peer reviewers.
We spent May through June 2019 pairing people with chapters and getting their input to finalize the individual metrics that will make up each chapter.
Analysis
In June 2019, with the stable list of metrics and chapters, data analysts triaged the metrics for feasibility. In some cases, custom metrics needed to be created to fill gaps in our analytic capabilities.
Throughout July 2019, the HTTP Archive data pipeline crawled several million websites, gathering the metadata to be used in the Web Almanac.
Starting in August 2019, the data analysts began writing queries to extract the results for each metric. In total, 431 queries were written by hand! You can browse all of the queries by chapter in the sql/2019 directory of the project's GitHub repository.
Interpretation
Authors worked with analysts to correctly interpret the results and draw appropriate conclusions. As authors wrote their respective chapters, they drew from these statistics to support their framing of the state of the web. Peer reviewers worked with authors to ensure the technical correctness of their analysis.
To make the results more easily understandable to readers, web developers and analysts created data visualizations to embed in the chapter. Some visualizations are simplified to make the conclusions easier to grasp. For example, rather than showing a full histogram of a distribution, only a handful of percentiles are shown. Unless otherwise noted, all distributions are summarized using percentiles, especially medians (50th percentile), and not averages.
Finally, editors revised the chapters to fix simple grammatical errors and ensure consistency across the reading experience.
Looking ahead
The 2019 edition of the Web Almanac is the first of what we hope to be an annual tradition in the web community of introspection and a commitment to positive change. Getting to this point has been a monumental effort thanks to many dedicated contributors and we hope to leverage as much of this work as possible to make future editions even more streamlined.
If you're interested in contributing to the 2020 edition of the Web Almanac, please fill out our interest form. We'd love to hear your ideas for making this project even better!


Some tips by us
Pulp Fiction 1994
Director: Quentin Tarantino
Genre: Crime, Drama
The Shining 1980
Director: Stanley Kubrick
Genre: Drama, Horror
Django Unchained 2012
Director: Quentin Tarantino
Genre: Drama, Western
Donnie Darko 2001
Director: Richard Kelly
Genre: Drama, Sci-Fi, Thriller


Seoul deports North Koreans accused of killing 16 people
Authorities say the two men had killed 16 fellow fishermen on their boat and then fled to South Korea.
South Korea said Thursday it expelled two men from North Korea after learning they murdered 16 crew members on their fishing boat before fleeing to the South.
The pair, both in their 20s, were questioned by South Korean authorities after being found on Saturday near the maritime border in the East Sea, also known as the Sea of Japan.
More:
The investigation concluded that the men had killed 16 fellow fishermen on their boat and then fled to South Korea, Seoul's unification ministry said.
The two men were deported to the North via the truce village of Panmunjom on Thursday after informing Pyongyang of the plan, ministry spokesman Lee Sang-min told reporters.
"If they had been incorporated into our society, it was judged they would pose a threat to the lives and safety of the people," Lee said.
Details of the killing or the boat's whereabouts were not provided.
More than 30,000 North Koreans have escaped from the reclusive state to the South since the two were separated by war more than 65 years ago, according to government data - many driven by prolonged economic hardship.
The defectors are interrogated by South Korean intelligence authorities upon arrival and spend about three months in a government-run facility for re-education before they are discharged into society.


Menu
Impact
Evolution
Sensitivity
District
Area
Green spaces
Map
Chart
About
Contacts
Monitoring non-emergency calls in Torino Smart City


What We Do
Ask a Question
Shenzhen Creality 3D technology which was founded in 2014, is one of the
first group of enterprises devoting to 3D printing in China. Creality 3D
focuses on 3D printing research, development, manufacturing and sales.
Creality 3D can also supply printer accessories, consumables, educations,
printing services and etc. At the present time, Creality 3D has become one
of the best sales companies in 3D printing industry.
-
Links
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- Contact-us
of the 3D printing, and make many more enterprises
and individuals get the most of 3D printing.
Completed Project's
We have completed many project over
the span of 4 years.
Certificates
We have won many certificate's
for the work we have done.
Patents
we have 7 patent's for the products from
the government of china.
Can't find the answer ?
If you are unable to find the solution for your problem with our product, it will be
our pleasure in solving your problem.


At the moment there are some known issues that will be pointed out in this chapter.
Please be aware, the Graylog support was implemented solely based on the official documentation of Graylog Extended Log Format (GELF) that is available on the Internet under https://go2docs.graylog.org/5-0/getting_in_log_data/gelf.html.
Conversely, this implementation has never been tested with a physical Graylog server! Unfortunately, this circumstance makes the implementation error-prone. Therefore, do not hesitate and immediately report any issue that occurs together with the Graylog/GELF implementation.


Update Items In Store
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Email
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City
Postal Code
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A process widget to limit the number of map points shown/processed in the visualization. Example param (prefix): 1 10 25 50 100


Tune the &productName; tool windows layout to make better use of your screen.
Toggle between the vertical and side-by-side placement of the tool windows by Ctrl+click/Cmd+Click on the splitter:


The Subsidence Plug-In (so-called SUB) for FeFlow is developed based on the poroelasticity theory (or Biot’s theory) with aims to solve hydro-mechanical coupled problems such as land subsidence due to groundwater extraction, consolidation analysis. Another stand-alone program so-called PSUB is also developed to visualize results of SUB.
Details are provide in User_manual.pdf file


Vice Hierarch Casca:
It is good to see you. I have a task for you which may not seem dangerous, but will requires prudent judgment. If you resolve this task properly, I will vouch for your character. Will you do it?
"What kind of task is it?"


Home
Insert
Data
Arial
=
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(
C3:C11
)
A1
Invoice #52 - 06/23/2015
ID
Product
Quantity
Price
Tax
Amount
216321
Calzone
1
$12.39
$2.48
$14.87
546897
Margarita
2
$8.79
$3.52
$21.10
456231
Pollo Formaggio
1
$13.99
$2.80
$16.79
455873
Greek Salad
1
$9.49
$1.90
$11.39
456892
Spinach and Blue Cheese
3
$11.49
$6.89
$41.36
546564
Rigoletto
1
$10.99
$2.20
$13.19
789455
Creme Brulee
5
$6.99
$6.99
$41.94
123002
Radeberger Beer
4
$4.99
$3.99
$23.95
564896
Budweiser Beer
3
$4.49
$2.69
$16.16
Tip:
$20.07
Total Amount:
$220.82
Invoice #52 - 06/23/2015
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
A
B
C
D
E
F
G
H
Invoice #52 - 06/23/2015
Invoice #52 - 06/23/2015
A1
Food Order
Balance Sheet


Match Play. Red leads 4-2 to 7. Should Red double? If doubled, should White take?
pips Red=111 White=135
(CorrectAnswer= 0/0, ErrorScore= 0)
A deceptive position where Red looks stronger than he is. White’s four-point prime is quite powerful and Red has six (!) blots to tidy up and needs to make quite a lot of progress before he can double.
For money this is a double and a trivial take. At this score it is a 1.5 blunder to double. Because two points gets Red to the Crawford Game he should play on for an undoubled gammon for the time being. He can always use the cube later when things are not so volatile.
For money this is a double and a trivial take. At this score it is a 1.5 blunder to double. Because two points gets Red to the Crawford Game he should play on for an undoubled gammon for the time being. He can always use the cube later when things are not so volatile.
Cube analysis 2-ply cubeless equity +0.565 (Money: +0.503) 0.640 0.302 0.007 - 0.360 0.081 0.004 Cubeful equities: 1. No double +0.557 2. Double, pass +1.000 (+0.443) 3. Double, take +0.456 (-0.101) Proper cube action: No double, take (18.6%)


The “Humanity Factor” of Platforms
04 Mar 2015 tagged inWhen we were discussing our team illustrations, I noticed that all of the boards explaining how platforms work featured stick-figure people. While the people figured into the equation in different ways depending on the team’s artistic interpretation, those little stick figures were all directly involved with the use of the platform. I’m pointing this out not because this assignment was supposed to showcase our drawing skills, but it highlights something that we all identified in our explanations of platforms – that in order to be means of connection or consumerism or presentation, there has to be some involvement on our part. Twitter as a social media platform allows our voices and our hashtags to find a community. Amazon as a shopping platform connects businesses and entrepreneurs with prospective markets. While could argue that platforms are about presenting ideas and products, the true value of platforms is about bringing people closer together.
This “humanity factor” of platforms is the most important aspect – and that’s why saying that platforms encourage desocialization is difficult to comprehend. Platforms are inherently social – as powerful ecosystems, they’re designed to develop and incorporate new planks in order to connect individuals to things greater than themselves, whether that means products, causes, or audiences. They are public spaces in which we interact on some level with the world. And in the formation of public spaces, whether it is a conscious or subconscious action, we create identities in these spaces that have social meanings. And so public spaces become racialized and gendered.
While some web platforms allow and encourage anonymity, that doesn’t necessarily eliminate socialization. We talked about Google two weeks ago as collecting and aggregating data on us to create a digital self and to place emphasis on “you.” As much as we wish we could claim anonymity on the Internet, it’s just not true. This racialization and gendering process occurs despite anonymity, because as we interact with social platforms, we still recreate some form the self to foster symbiotic and mutually beneficial relationships.
 In its attempts to create a singularity, Amazon is also creating a public space that operates along specific guidelines and social norms. By carefully cultivating planks that will benefit the evolution of the business, Amazon has constructed a place on which the “humanity factor” has to interact within these social norms.
Platforms filter our Internet experience as consumers, producers, and as voices in a digital environment. The so-called Gang of Four needs our participation as a user base to function and thrive as they monopolize the Internet. But we have to consider what it means for our humanity when we are utilizing Web 2.0 platforms. As stated in Gillepsie’s “The politics of ‘platforms’,” ‘platforms’ are ‘platforms’ because they afford us an opportunity to communicate, interact or sell (Gillespie 351). We have to be careful that the self that surfs the Internet is a self that we want to represent us, and is not just the result of platform influence.


Erick Matsen
Examples today:
Genome of the whale shark, Earth's largest fish—contributed by @geochurch and colleagues. Ostensibly extremely significant correlations are reported between physiological and genomic features across taxa, interpreted as evincing scaling laws. https://t.co/9EvT18ClPR (1/n)
— William DeWitt (@wsdewitt) August 5, 2020
Paper link. gray: Hyperoartia, Ascidiacea, Chromadorea, Insecta, and Saccharomycetes; turquoise: Chondrichthyes [cyan indicates whale shark]; light blue: Actinopterygii; aquamarine: Sarcopterygii; dark green: Amphibia; light green: Reptilia; dark yellow: Aves; orange: Mammalia
Felsenstein, J. (1985). Phylogenies and the Comparative Method. The American Naturalist, 125(1), 1–15. [PDF]
Huey, R. B., Garland, T., Jr, & Turelli, M. (2019). Revisiting a Key Innovation in Evolutionary Biology: Felsenstein’s “Phylogenies and the Comparative Method.” The American Naturalist, 193(6), 755–772. [DOI]
This paper blows big holes in these papers:
… don’t make this mistake, please!
Schraiber, J. G., Mostovoy, Y., Hsu, T. Y., & Brem, R. B. (2013). Inferring evolutionary histories of pathway regulation from transcriptional profiling data. PLoS Computational Biology, 9(10), e1003255. [DOI]
Bedford, T., Cobey, S., Beerli, P., & Pascual, M. (2010). Global Migration Dynamics Underlie Evolution and Persistence of Human Influenza A (H3N2). PLoS Pathogens, 6(5), e1000918. [DOI]
I.e. which virus is going to take over the population?
Neher, R. A., & Bedford, T. (2015). nextflu: Real-time tracking of seasonal influenza virus evolution in humans. Bioinformatics . [DOI]
Neher, R. A., Russell, C. A., & Shraiman, B. I. (2014). Predicting evolution from the shape of genealogical trees. eLife, 3. [DOI]
Hadfield, Megill, Bell, Huddleston, Potter, Callender, …, Bedford, Neher, (2018). Nextstrain: real-time tracking of pathogen evolution. Bioinformatics. [DOI]


Hi, I'm Jacci Horvath!
I am a self-taught graphic designer and marketing professional living in Youngstown, OH. Although I have a little background in basic HTML, I am new to coding and am working my way through The Ohio State University's Coding Bootcamp.
I am a dedicated and hardworking individual who cares about others and is always searching to find a common ground and form meaningful connections. I am insatiably curious and love problem solving. In my free time, I enjoy music, art, cooking and being outdoors.
I am looking forward to completing this course and starting the next chapter in my career. Feel free to check out some of the projects I've been working on and contact me if you're interested in working together.


---
notes: |
The loading indicator has its own ember component `loading-indicator`.
To center is you can give the component the `center=true` flag which adds an extra class.
You can use the a white version of the indicator within buttons or other elements.
---


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{% extends 'base/base.html' %} {% block navMenu %}
This website allows you to find targets for a small molecule using a Chembl 22 database of 3 different organisms.
Please, wait until process has finished.


- Photographer & director -
Scott Irving is a fashion photographer based in Las Vegas, NV. His body of work in editorial, beauty and fashion has caught the eye of reputable west coast agencies and clients alike. He continuously exceeds client and agency expectations by providing professional photography services and one of a kind creative concepts.


My name is Daniel Urdialez and here are some cool things about me.
I'm very clumsy but still love to do extremly dangerous things.
I'll also eat pretty much anything.......
because thats just the type of person I am.

My dream vehicle would be any old school muscle car. Theres just something about the heavyness and power of those old school cars that makes it so awesome. So basically a Camaro or Mustang from the 70's.
| "Decimal" | "Hexadecimal" |
|---|---|
| 0 | 0 |
| 1 | 1 | 2 | 2 |
| 3 | 3 |
| 4 | 4 |
| 5 | 5 |
| 6 | 6 |
| 7 | 7 |
| 8 | 8 |
| 9 | 9 |
| 10 | A |
| 11 | B |
| 12 | C |
| 13 | D |
| 14 | E |
| 15 | F |


Simple inforbar without icon
No icon, no url
Inforbar with icon
Info icon, still no url
Inforbar with url
Clicking icon will redirect if URL is specified
Infobar which alerting when the icon triggers
Can also subscribe to primary action with (trigger)


Shorty G and wife welcome third child
by WWE.comIt’s big news for Shorty G as he welcomed his third child on Monday night.
Charles James Betts was born weighing 9 lbs., and both mother and child are doing great. Shorty G and Team SmackDown will now have a new supporter in their corner heading into Survivor Series.
Join us in congratulating Shorty G and his wife, Kristi, on the newest addition to their family.


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UberTuber
for Haiku
by Humdinger
Settings — Tips & Tricks — Troubleshooting — Download — Bugreports and Feedback — Thanks — History
UberTuber grabs clips from various sites and opens them in your media player while they're being downloaded. This is as close to streaming as it gets until Haiku's MediaKit grows real streaming support.
The actual work is done in the back-end, using the Python script youtube-dl which downloads the video file to your temporary folder. From there it is either played back while it gets downloaded or moved to another location you determine in a file dialog.
UberTuber monitors the system clipboard for URLs pointing to the supported websites and automatically inserts them into its URL text field. Now you just have to decide to either play or save the clip to start the download.
If the playback of a clip from a particular website works, depends on the underlying youtube-dl script, which gets updated from time to time. At this moment there is support for clips from:
YouTube, Google video, MetaCafe, DailyMotion, Yahoo video,
Photobucket, DepositFiles, Vimeo.com, blip.tv, Facebook video,
Escapist magazine, and many many more sites...
Youtube-dl's website has a list of reportedly working sites.
There are only very few user settings:
Auto-play
This starts playback automatically, if a valid URL is detected in the clipboard. Convenient if you run UberTuber in the background while surfing the web: just copy the link to a clip in the browser and a few seconds later your media player starts playing it back.
Remove temporary files on quit
The temporary folder is emptied when you shutdown Haiku. If you watch lots of long clips, disk space may become a concern. Check this option to have all temporary files deleted as soon as you quit UberTuber.
Edit monitored URLs...
UberTuber monitors the system clipboard and automatically puts a URL it recognizes into its URL text box. With this menu item, you can change or add to this list of 'known' websites. It opens the settings file ~/config/settings/UberTuber_monitored_sites in your text editor. Just put the distinguishing part of a site's URL in a new line and save the changes. UberTuber will immediately start recognizing the new address.
How can I play back embedded videos?
In WebPositive, right-click on the black box of the embedded video and . Now copy the URL and leave the rest to UberTuber's clipboard monitor.
Can I use bookmarks?
UberTuber accepts a drag & dropped bookmark file (in fact any file with a META:url attribute). You can build up a library of video bookmarks while surfing with WebPositive, put them all in a folder and drag & drop one of them onto UberTuber.
Or you can select all your video bookmarks and use Tracker's add-on FileType to set UberTuber as their preferred application. Then you can start those video bookmarks in UberTuber with a doubleclick.
What about starting from Terminal?
When started from the Terminal, UberTuber accepts currently only one argument: either the path to a bookmark file or the URL to a clip.
Copied URLs won't automatically show up in UberTuber.
The URL might fall through UberTuber's very simple test if it's from a supported site. You can add new URL-patterns or edit/remove existing patterns of that clipboard monitor, see the Edit monitored websites... menu item mentioned above.
UberTuber won't play/download clips from site X.
Probably the website isn't supported by the youtube-dl script. Your only hope is that it has been added recently. Check the youtube-dl package for updates.
Sometimes I get a General OS error.
This seems to be MediaPlayer's way to say that there hasn't been enough of the clip downloaded yet. It depends on the clip format and the speed of your internet connection. You can try closing the empty MediaPlayer window that pops up after the "General OS error" and press UberTuber's "Play" button once more.
The alternative is to increase the buffering time a few seconds, but that would increase the time everyone has to wait for every clip... Email me, if it happens untolerably often to you and I may consider adding an option for the buffering.
Sometimes UberTuber just sits there, buffering or whatever.
UberTuber is a bit of a hack as it tries to juggle the youtube-dl script and playback in MediaPlayer, while handling a possible aborting of these processes or saving the clip after playback has started. Add to that, that I'm a very unexperienced amateur "coder"... we're lucky it works at all most of the time.
If things get out of control, you may find several stray threads of the scripts running in the background after UberTuber was quit. You can find and kill these threads with the ProcessController replicant of the Deskbar. Hint: the name of the threads contain "UberTuber" or "youtube-dl" etc. Yes, it's messy...
UberTuber is directly available through HaikuDepot from the HaikuPorts repository. The source is hosted at GitHub.
Please use GitHub's issue tracker if you experience unusual difficulties or email your general feedback to me. Also, email me if you'd like to provide more localizations.
I have to thank Leszek Lesner for providing his MIT licensed code for YAVTD which provided ideas and some lines of code for UberTuber.
Also thanks to Duggan from the haiku-3rdparty IRC channel for hints and help to find crashing set-backs.
Thanks to everyone that provided translations vor UberTuber.
And finally thanks to the people providing the youtube-dl script.
If you kinda like UberTuber – or even more so if you don't – consider a donation to Haiku Inc. or even better small monthly donations. This will accelerate Haiku development and may even help perfecting video playback into WebPositive, so UberTuber can eventually retire.
0.9.0 - 24-09-2011:
0.9.1 - 30-09-2011:
0.9.2 - 07-12-2011:
0.9.3 - 17-11-2012:
0.9.4 - 24-11-2012:
0.9.5 - 20-04-2013:
0.9.6 - 14-10-2013:
0.9.7 - 20-10-2013:
0.9.8 - 21-12-2013:
0.9.9 - 20-02-2014:
0.9.10 - 24-02-2014:
0.9.11 - 15-06-2014:


| Contact Information: Department of Mathematics University of Nebraska-Lincoln Lincoln, NE 68588-0323 Office: 810C Oldfather Hall Phone:<PHONE_NUMBER> Fax:<PHONE_NUMBER> email<EMAIL_ADDRESS>Courses & Office Hours |
Education
Ph.D. (1969), Monash University, Australia
Research interests: Algebraic theory of semigroups, geometric group theory
My main research interests are in semigroup theory and geometric group theory. Some of my particular interests are in the theory of inverse semigroups (essentially semigroups of partial symmetries of mathematical objects) and in the study of algorithmic problems in semigroups and infinite groups. My work uses geometric and topological techniques as well as ideas from automata theory, formal language theory, and mathematical logic.
I am Managing Editor of the International Journal of Algebra and Computation.
Some Selected Research Publications:
The fundamental four-spiral semigroup, J. Algebra 54 (1) (1978) 6-26 (with K. Byleen and F. Pastijn).
The partially ordered set of J-classes of a semigroup, J. Lond. Math. Soc. (2), 21 (1980), 244-256.
E-unitary inverse monoids and the Cayley graph of a group presentation, J. Pure Appl. Algebra (with S.W. Margolis), 58 (1989), 45-76.
Inverse monoids, trees and context-free languages, Trans. Amer. Math. Soc. 335, No. 1, 1993, 259-276 (with S.W. Margolis).
Free inverse monoids and graph immersions, Int. J. Algebra and Computation Vol. 3, No. 1 (1993), 79-99 (with S.W. Margolis).
Bass-Serre Theory of groupoids and the structure of full regular semigroup amalgams (with S. Haataja and S. Margolis), J. Algebra 183, 1996, 38-54.
PSPACE complete problems for subgroups of free groups and finite inverse automata (with J-C. Birget, S. Margolis and P.Weil), Theoretical Computer Science 242, 2000, 247-281.
One-relator inverse monoids and one-relator groups (with S. Ivanov and S. Margolis), J Pure and Applied Alg. 159 (2001), 83-111.
Complete list of research publications
Some links:
Mathematical Association of American
Association for Women in Mathematics
Australian Mathematical Society
Mathematical Sciences Research Institute
Go to Jon McCammond's home page for all kinds of information about geometric group theory.
Go to Jim Renshaw's home page for all kinds of information about semigroup theory.


bisectRight method
- E element,
- {int compare(
- E,
- E
- int low,
- int high}
Returns the index where an element should be inserted in a list
,
assuming the list
is sorted by a compare
function.
If this element
is already in this list
,returns the rightmost index
where it can be inserted.
The compare
function must act as a Comparator
.
The default implementation uses Comparable.compare
if compare
is omitted.
Two optional parameters low
(0
by default) and high
(list.length
by default)
can be provided to bisect only an slice of this list where the element will be inserted.
Implementation
int bisectRight(E element, {int Function(E, E) compare, int low, int high}) {
compare ??= Comparable.compare as Function(E, E);
low ??= 0;
high ??= length;
if (low < 0) {
throw ArgumentError('low must be non-negative');
}
// This algorithm is very similar to a binary search.
while (low < high) {
// At each iteration the algorithm looks at a slice of this list
// where the element can be inserted, and divides it in half.
var mid = (low + high) ~/ 2;
// Then the algorithm compares the element to be inserted to
// the middle element.
if (compare(element, this[mid]) < 0) {
// If the element to be inserted is smaller than the middle
// element, then in the next iteration we only need to look
// between the start of the current slice and the middle element.
high = mid;
} else {
// Otherwise the algorithm will look between the element next
// to the middle one and the end of the current slice.
low = mid + 1;
}
}
return low;
}


WITNESS LIST
Human Services Committee
June 20, 2018 - 9:00 AM
Interim Charge 2 - Medicaid Managed Care
On:
Badawo, Linda (Self)
Behrens, LeAnn (Amerigroup Corporation)
Chambers, Daniel (Cigna)
Chen, Franklin (Amerigroup)
Ford, Victoria (Texas Health and Human Services Commission)
Gore, David (Amerigroup)
Harmon, David (Superior HealthPlan)
Head, Aron (Amerigroup)
Kromrei, Liz (Texas Department of Family and Protective Services)
Langer, Don (United healthcare)
Marquez, Enrique (Texas Health and Human Services Commission)
Muth, Stephanie (Texas Health and Human Services Commission)
Ray, Karen (Texas Health and Human Services Commission)
Rote, Anne (Molina Healthcare)
Sanders, Mark (Superior HealthPlan)
Shaw, Jean (Texas Health and Human Services Commission)
Whitman, Hank (Texas Department of Family and Protective Services)
Registering, but not testifying:
On:
Gowen, Mark (Self; Angel Medical Supply)
Harris, Rand (Texas Department of Family and Protective Services)
Kauffman, Sylvia (Office of Inspector General)
1


 No data will be transferred.
At the left you see the output image. It first shows only its structure. The black lines show the generating lines and circles. They are borders of triangles. Their repeated mirror images at the straight lines and inversions in the circles generate a tiling.
You see images of a several triangles in different colors:
| light color | - | The original triangle |
| color | - | Rotated and translated copies of the triangle |
| dark color | - | Rotated mirror images of the triangle |
Triangles of the same basic color make a Poincaré disc representation of a tiled hyperbolic space.
Use the control panel at the lower right side to open an input image or drag and drop an image!
Drag with the left mouse button pressed or touch to change the visible part of the output image. Turn the mouse wheel, use two finger touch or type "Z" or "z" to zoom in or out.
Drag with the right mouse button pressed to see the trajectories generated by the reflecting elements in the stereographic projection for elliptic geometry, the normal projection for Euclidic geometry and the Poincaré disc for hyperbolic geometry.
In the lower part of the right hand side you find a control panel.
Use it to open an input image ! You can also use drag and drop.
Switch between showing the structure of the kaleidoscope or a kaleidoscopic image.
You can see:
| structure | - | The tiling. |
| image | - | Maps an input image like a skin on the tiling. |
| convergence | - | Points needing a lot of inversions in the circles to go to the original triangles are shown in white color. You see the limit set of the inversions and reflections. |
| combinations | - | Some of the three basic views are shown simultaneously. |
You can change the Projection for showing the kaleidoscopic image.
Show or hide the lines and circles that generate the image. Choose their color and width.
Choose the number of elements used for generating the image.
Three elements make only a basic triangle.
Four elements create a basic triangle with an intersecting circle at its center, giving three secondary triangles.
Choose the rotational symmetries of the basic triangle:
| center | - | Rotational symmetry at the center of the image. Note that very large values give strange results! |
| upper | - | Symmetry at the intersection between the upper straight line and the outer circle |
| lower | - | Symmetry at the intersection between the lower straight line and the outer circle |
Choose the rotational symmetries arising with the central circle:
| outer circle | - | Rotational symmetry at the intersection with the outer circle. |
| upper line | - | Symmetry at the intersection with the upper straight line. |
| lower line | - | Symmetry at the intersection with the lower straight line |
You can apply symmetry operations on the generating elements. You can rotate and mirror them. Inversion exchanges the central circle with the circle of the basic triangle.
Save the output image as a png. You will find it in the download folder as "kaleidoscope.png"
Choose the output image size. Only the resolution changes and you will always get the same overall image. Large sizes will take a lot of time and the computer can become unresponsive for several minutes. Be patient. Maximum side length is 10'000 pixels, giving an image of 100 megapixel. The browser then would need nearly 2 gigabytes of memory for the image and structure data.
To see hidden image parts lying outside the window use the scroll bars. Using scroll bars does not change the image and is reasonably fast. If you drag or zoom the image with the mouse then you change the image and this becomes very slow for large images.
Once you open an input image you will see it in the upper right. It may be partially covered by the control panel. To bring it to the foreground click or touch it. At the same time a dark disc with an arrow will appear. Click or touch remaining parts of the control panel to bring it back to the foreground.
Pixels of the input image appearing in the output image are shown in full color. Unused pixels are faded out.
Drag with the mouse or touch to shift the position of sampled pixels. With the mouse wheel or the "Z" and "z" keys you can change the size of the sampled region. With two finger touch you can zoom and rotate.
Dragging the mouse or touch on the disc with the arrow zooms and rotates the sampled region of the input image. Turning the mouse wheel or touching the "Z" and "z" keys only rotates.
Your comments and bug reports are wellcome at pestampf@gmail.com


9895215568
01
It is a non-profitable platform which is helping the children to learn more
20 January 2016
24 January 2016
28 January 2016
30 January 2016
02 February 2016
08 February 2016
03
we provide connections with teacher and student


Phasellus curabitur congue facilisis consequat hendrerit felis tincidunt, varius quam blandit auctor porttitor nam risus, ornare facilisi curae sagittis habitant sollicitudin.
My workLorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
Want to know more about my path ?
My cvInterested by my skills ?
Hire me


Enums
The following enums are available globally.
-
What set of billing address information you need to collect from your user.
See moreNote
If the user is from a country that does not use zip/postal codes, the user may not be asked for one regardless of this setting.Declaration
Objective-C
enum STPBillingAddressFields : NSUInteger {}
Swift
enum STPBillingAddressFields : UInt
-
These values control the labels used in the shipping info collection form.
See moreDeclaration
Objective-C
enum STPShippingType : NSUInteger {}
Swift
enum STPShippingType : UInt
-
An enum representing the status of a shipping address validation.
See moreDeclaration
Objective-C
enum STPShippingStatus : NSUInteger {}
Swift
enum STPShippingStatus : UInt
-
An enum representing the status of a payment requested from the user.
See moreDeclaration
Objective-C
enum STPPaymentStatus : NSUInteger {}
Swift
enum STPPaymentStatus : UInt
-
The various funding sources for a payment card.
Declaration
Objective-C
enum STPCardFundingType : NSInteger {}
Swift
enum STPCardFundingType : Int
-
The various card brands to which a payment card can belong.
Declaration
Objective-C
enum STPCardBrand : NSInteger {}
Swift
enum STPCardBrand : Int
-
These fields indicate whether a card field represents a valid value, invalid value, or incomplete value.
Declaration
Objective-C
enum STPCardValidationState : NSInteger {}
Swift
enum STPCardValidationState : Int
-
This represents all of the payment methods available to your user (in addition to card payments, which are always enabled) when configuring an
See moreSTPPaymentContext
.Declaration
Objective-C
enum STPPaymentMethodType : NSUInteger {}
-
Authentication flows for a Source
Declaration
Objective-C
enum STPSourceFlow : NSInteger {}
Swift
enum STPSourceFlow : Int
-
Usage types for a Source
Declaration
Objective-C
enum STPSourceUsage : NSInteger {}
Swift
enum STPSourceUsage : Int
-
Status types for a Source
Declaration
Objective-C
enum STPSourceStatus : NSInteger {}
Swift
enum STPSourceStatus : Int
-
Types for a Source
Declaration
Objective-C
enum STPSourceType : NSInteger {}
Swift
enum STPSourceType : Int
-
Redirect status types for a Source
Declaration
Objective-C
enum STPSourceRedirectStatus : NSInteger {}
Swift
enum STPSourceRedirectStatus : Int
-
Verification status types for a Source
Declaration
Objective-C
enum STPSourceVerificationStatus : NSInteger {}
Swift
enum STPSourceVerificationStatus : Int


|
数字式立体视觉刺激系统
1.0.1
Digital Stereo System
|
#include <nvapi.h>
Public 属性 | |
| NvU32 | version |
| Version of this structure. 更多... | |
| NvU32 | rows |
| Number of rows. 更多... | |
| NvU32 | columns |
| Number of columns. 更多... | |
| NvU32 | displayCount |
| Number of display details. 更多... | |
| NvU32 | applyWithBezelCorrect: 1 |
| When enabling and doing the modeset, do we switch to the bezel-corrected resolution. 更多... | |
| NvU32 | immersiveGaming: 1 |
| Enable as immersive gaming instead of Mosaic SLI (for Quadro-boards only) 更多... | |
| NvU32 | baseMosaic: 1 |
| Enable as Base Mosaic (Panoramic) instead of Mosaic SLI (for NVS and Quadro-boards only) 更多... | |
| NvU32 | driverReloadAllowed: 1 |
| If necessary, reloading the driver is permitted (for Vista and above only). Will not be persisted. Value undefined on get. 更多... | |
| NvU32 | acceleratePrimaryDisplay: 1 |
| Enable SLI acceleration on the primary display while in single-wide mode (For Immersive Gaming only). Will not be persisted. Value undefined on get. 更多... | |
| NvU32 | reserved: 27 |
| Reserved, must be 0. 更多... | |
| NV_MOSAIC_GRID_TOPO_DISPLAY | displays [NV_MOSAIC_MAX_DISPLAYS] |
| Displays are done as [(row * columns) + column]. 更多... | |
| NV_MOSAIC_DISPLAY_SETTING | displaySettings |
| Display settings. 更多... | |
| NvU32 NV_MOSAIC_GRID_TOPO::acceleratePrimaryDisplay |
Enable SLI acceleration on the primary display while in single-wide mode (For Immersive Gaming only). Will not be persisted. Value undefined on get.
| NvU32 NV_MOSAIC_GRID_TOPO::applyWithBezelCorrect |
When enabling and doing the modeset, do we switch to the bezel-corrected resolution.
| NvU32 NV_MOSAIC_GRID_TOPO::baseMosaic |
Enable as Base Mosaic (Panoramic) instead of Mosaic SLI (for NVS and Quadro-boards only)
| NvU32 NV_MOSAIC_GRID_TOPO::columns |
Number of columns.
| NvU32 NV_MOSAIC_GRID_TOPO::displayCount |
Number of display details.
| NV_MOSAIC_GRID_TOPO_DISPLAY NV_MOSAIC_GRID_TOPO::displays[NV_MOSAIC_MAX_DISPLAYS] |
Displays are done as [(row * columns) + column].
| NV_MOSAIC_DISPLAY_SETTING NV_MOSAIC_GRID_TOPO::displaySettings |
Display settings.
| NvU32 NV_MOSAIC_GRID_TOPO::driverReloadAllowed |
If necessary, reloading the driver is permitted (for Vista and above only). Will not be persisted. Value undefined on get.
| NvU32 NV_MOSAIC_GRID_TOPO::immersiveGaming |
Enable as immersive gaming instead of Mosaic SLI (for Quadro-boards only)
| NvU32 NV_MOSAIC_GRID_TOPO::reserved |
Reserved, must be 0.
| NvU32 NV_MOSAIC_GRID_TOPO::rows |
Number of rows.
| NvU32 NV_MOSAIC_GRID_TOPO::version |
Version of this structure.


All Classes
AllFilter
ArchivaException
BaseFile
DateUtil
Event
EventHandler
EventManager
EventSource
EventType
EventType.EventTypeSerialization
ExcludesFilter
FileTypeUtils
FileUtils
Filter
IncludesFilter
PathUtil
Try
Try.Failure
Try.Success
VersionComparator
VersionUtil


We recognize that our predictions may be limited by the data available to us in this project and the model constructed. Therefore, a more robust analysis would incorporate additional data sources and likely require different modeling techniques. Core Creative uses Salesforce to manage client relationships and track potential sales. This data is currently housed only in the Salesforce application that Core Creative uses. Including this data with the ERP database could lead to a much better analysis of revenue and increase the accuracy of projections. Though the difficulty in creating an automated way to access the data would be great. Additional information held in Salesforce includes, client communication logs, and sales opportunities for new sales activities. Also, the use of the sales pipeline module in the existing ERP system would be recommended. This could help shine light on the future of organic sales with current clients.
Our recommendation would be to incorporate Salesforce data into a database with the ERP data. Using these data sources in tandem could enable interesting analysis. For example, client communication logs could be analyzed using natural language processing though a software like OpenNLP which has an interface for R (Choudhury, 2020). Combining insights from the communication logs, the Salesforce sales pipeline, and the ERP system pipeline would help pinpoint more precisely when a potential sale is going to close.
AAn analysis such as this would move beyond time series forecast and linear regression and likely incorporate logistic regression. Logistic regression could predict the probability of a client sale being recognized in a given month. Understanding when a potential sale is going to close is a key aspect, in addition to measuring recurring revenue, for predicting next month’s revenue.
There are many other entities at core creative that drive revenue. Our analysis took a look solely at the financial side of the data with divisions of new business efforts and employee load balance of billable and unbillable. Clients, projects, project types, and employees could all be clustered based on aggregated data for each type of entity. The database houses the relational data needed to the split financial information based on the three clusters found. This division of financial information would multiply the number of data points observed by the number of clusters. It’s unknown if this type of analysis would prove fruitful but it can be done.
Project types, clients, employees, project, salesforce data (pipeline)/opportunities, comment records, client communications logs (NLP), could each be individually examined to see how they influence forecasting.


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AWS Access Key used to manage the Amazon ECS cluster.
If no AWS Access Key is set, implicit authentication mechanisms are used:
AWS_ACCESS_KEY_ID
and AWS_SECRET_ACCESS_KEY
(RECOMMENDED since they are recognized by all the AWS SDKs and CLI except for .NET),
or AWS_ACCESS_KEY
and AWS_SECRET_KEY
(only recognized by Java SDK)


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--- layout: post title: no title date: '2014-09-07T07:30:24+02:00' categories: - Atoleiros Battle - Storyboards picture_url: https://film-Storyboards.tumblr.com/post/96872580813 ---


{% from "card.html" import card with context %}
{{ card('img1', 'Pet hotel', 'A small Typescript based React app, imitating real life website...', 'https://github.com/buhtla85/first-NEW') }}
{{ card('img2', 'Find a pet', 'A small Typescript based React app, fetching data from Petfinder API...', 'https://github.com/buhtla85/third') }}
{{ card('img3', 'Weather App', 'A small Typescript based React app, fetching data from OpenWeatherMap API...', 'https://github.com/buhtla85/second') }}
{{ card('img4', 'Take a photo', 'A small Typescript based React app with Express server and MongoDB database...', 'https://github.com/buhtla85/react_webcam_app') }}
{{ card('img5', 'jQuery image slider', 'Project implementing jQuery image slider and text animations...', 'https://github.com/buhtla85/jQueryPractice') }}
{% endblock %}


Monitoring (example)¶
AWS CloudWatch is the primary monitoring system used by our Fanatical Support for AWS support teams. CloudWatch provides a wide variety of metrics that cover the entire suite of AWS services, from CPU utilization and disk I/O on EC2 instances to network throughput of ELB load balancers.
Although AWS CloudWatch is available to Fanatical Support for AWS accounts at all service levels, customers using our Aviator service level can opt to have Rackspace Support respond to unexpected deviations in metrics. Watchman is the system responsible for receiving CloudWatch alarms and creating tickets on your Rackspace account.
CloudWatch alarms¶
CloudWatch alarms are triggered when the value of a CloudWatch metric deviates from its expected value. For example, if CPU utilization on an EC2 instance exceeds 80 percent for a period of five minutes or longer, the CloudWatch alarm can be configured to send an alert to a Rackspace-managed Simple Notification Service (SNS) topic (named rackspace-support) that generates a ticket for further investigation by a Rackspace.
The rackspace-support SNS topic is configured in each region when your AWS account is set up for Fanatical Support for AWS. A subscription to the SNS topic is created for a centralized, region-specific Simple Queue Service (SQS) queue that resides in our shared management services account. Our shared management services system continually monitors these queues and generates a ticket when a valid CloudWatch alarm is received from an Aviator service level account.
Note
Although the SNS topic is present on every Fanatical Support for AWS account, only accounts at the Aviator service level have tickets generated. If your account is at the Navigator service level, no action is taken for CloudWatch alarm notifications sent to your account’s rackspace-support SNS queue.
Custom CloudWatch configuration¶
CloudWatch allows the creation of custom metrics to monitor the things that are critical to the uptime of your applications. As an Aviator customer, you can create custom CloudWatch metrics and alarms, and send notifications to the rackspace-support SNS topic if you want Rackspace to respond to a triggered alarm. We recommend that you work with Rackspace when creating custom CloudWatch metrics and alarms to ensure that the configuration is correct and that the appropriate Rackspace response is clearly documented.


layout: true class: center, middle, reverse --- # Conditional statements --- # What decisions are you taking daily? --- # Best deal ` Chokers have a deal where you can buy 1 apple for R5, or 3 apples for R10. ` Which deal would you go for and why? --- # What is a condition? --- # How does computer programs make decisions? -- * What do they make decisions about? --- # How does computer programs make decisions? * What do they make decisions about? * What helps them to make decisions? --- # Logical operators -- * `===` * `>` and `<` * `>=` and `<=` * `!==` * `&&` * `||` --- # What are conditional statements? --- # Practical example `Everyday I need to decide to what time I need to set my alarm.` -- `Create a function that set my alarm for 5:00am if tomorrow is a weekday and set it for 8:00am if tomorrow is weekend.` -- Call the function `autoAlarm` it takes `tomorrow` as a parameter and return the time to set the alarm to. -- ``` var result = autoAlarm('Saturday'); //should print `8:00am` console.log(result); var result = autoAlarm('Monday'); //should print `5:00am` console.log(result); ``` --- # Multiple conditions How do we handle multiple conditions? For example: `Everyday I need to decide to what time I need to set my alarm. I need to set my alarm for 5:00am if tomorrow is a weekday, 8:00am if tomorrow is Saturday and 7:00am if tomorrow is Sunday.` --- # Which fruit do you think of? If you have to compare `conditional statements` to a fruit. Why? --- # Bootcamp goto: `bootcamp.projectcodex.co` And do: `Conditional statements` **Remember to commit to github!** ---