|
You
Rock My World
(Michael Jackson) |
|
(Intro
dialogue by Michael Jackson and Chris Tucker)
Chris Tucker: Oh man! Look at that girl, right there! Goodness gracious! That girl fine, man! Look at it, she just too fine! She know she fine too! Michael Jackson: She is banging! CT: She's off the hook! MJ: She looks good, you're right.  MJ: Chris, I can get her. CT: You can't get that girl, Mike.  MJ: Watch me get that girl. CT: I bet you never-Neverland, you can't. MJ: I can get her. CT: All right! Shomon, then. Shomon! MJ: Watch.


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$def with (title, road_param, value_param, chart_param, subway_param, restaurant_param, hotel_param, model_param)


So, you have developed a native app and want to publish it under the UW Developer Store? Here is what you do next.
Step 1
Confirm that your app meets the UW Developer Store Publishing Guidelines.
Step 2
Submit your application for UW-IT review.
- UW-IT will determine if publishing guidelines are met.
- A UW-IT Usability review will be scheduled.
Step 3
Fix critical issues brought up in the UW-IT Usability Review.
Step 4
Alert UW-IT Mobile Team that your app is ready for final review.
- UW-IT conducts final app review.
- App submitted by UW-IT to the appropriate app stores.
- Publication, pending app store approval.


Pet Sitter Microservices Demo - Web service that accesses both microservices
Overview
This is a simple web application that accesses two microservices to extract data
All the information is fetched using a RESTful interfaces to microservices.
Test: Owner with pets
Test: Owner without pets
Test: Owner does not exist


All Classes and Interfaces
Class
Description
A domain is a composite of translated model elements including classes,
relationships, types, functions, etc.
This default logger implements the generic interface and is based internally
on the JUL logging system.
A message represents an asynchronous event sent across domain boundaries.


AMD To Announce 3rd-Gen Threadrippers on November 7th?
by Mike SandersWe all know that AMD is planning to release its 3rd-generation Threadripper processors at some point this month. The rumour mill, however, did speculate that the official embargo date was the 5th of November. In other words, today. Well, presuming you’re not reading this tomorrow…
In a report via Videocardz, however, it seems that AMD may have decided to put the brakes on slightly by delaying the official announcement for a couple more days. The good news is, however, that the delay isn’t a big one!
AMD Delays Threadripper Launch
With AMD reportedly delaying the launch of their latest Threadripper processors until November 7th, the only matter that is slightly unclear is whether instructions have gone out to motherboard manufacturers to also delay their launches. It does, however, seem more than likely that this has been done to ensure a coordinated launch.
Based on the slide below, however, which did indicate a November 5th launch date, it seems pretty clear that AMD has 100% pushed this back! “Dates no longer valid”. It doesn’t get much clearer than that, does it?
What Do We Think?
There are various reasons why a product launch can be delayed. More often than not, it’s simply because the stars haven’t quite aligned. Review samples might be dragging their heels, their number may be limited, or the simple logistics of getting everything ready might not just be quite there yet.
All going well, however, AMD will reveal their 3rd-generation Threadripper processors this Thursday. If the rumours are to be believed though, they’re going to be well worth the wait!
What do you think? – Let us know in the comments!


SWORDFISH
Reviewed by Harvey Karten Warner Bros. Director: Dominic Sena Writer: Skip Woods Cast: John Travolta, Hugh Jackman, Halle Berry, Don Cheadle, Vinnie Jones, Camryn Grimes, Sam Shepard, Zach Grenier
One of the strategies used today by Israelis, who have been inundated by terrorist attacks, is to learn the location of high-ranking officials in organizations like Hamas, Hezbollah and Islamic Jihad, fly over their limos in choppers, and fire missiles at the cars, eliminating the leaders (hopefully without loss of nearby civilian life). This is similar to what the U.S. Central Intelligence Agency did in the old days--eliminating perceived enemies by assassinating leaders. The CIA more or less admitted its role in taking out Guatemalan leader Arbenz, whom the U.S. perceived to be pro-Communist. Is this type of action justified? While you're pondering the ethics of assassinating enemies, you may wonder what all of this has to do with Dominic Sena's explosive picture, "Swordfish," which features some of John Travolta's most convincing action roles and almost redeems his guise in last year's "Battlefield Earth." We can't really discuss the relationship of these metaphysical questions without giving away the store, but despite the hackneyed car chases, chopper scenarios, and the usual mayhem with explosives strapped to hostages, Skip Woods's clever script lifts "Swordfish" well above the usual action-adventure genre. While WBAI critic Mike Sargent rhapsodizes, "If it were any hotter you'd burst into flames," I prefer to give appropriate accolades to the imaginative script--which features a couple of interesting twists ending with a slam-bang revelation that provides the audience with an excuse to exhale "a-ha!"
The story opens on the final day of a bank heist, then retraces its steps to highlight that handsome Aussie Hugh Jackman in the role of A-1 computer hacker Stanley, out of jail for entering secret government files with the caveat that he must not touch the keys to a computer again. When the alluring Ginger (Halle Berry) enters his disheveled trailer in the middle of nowhere to offer a deal he cannot refuse, he winds up in the caper of his life with debonair multi-millionaire Gabriel Shear (John Travolta), who impresses Stanley with his need to make much more money--which he can do if Stanley would hack into some cool bank accounts.
The extra million dollars that Warner Bros. paid to Halle Berry simply to expose her breasts for eight seconds mocks all the strippers throughout the United States who probably could not make that kind of money after ten-year careers spinning around the brass poles, but that sum in turn fades when compared to the nine billion dollars that Stanley is commissioned to find for Gabriel--which could keep Stanley in Dell computers for several lifetimes and provide Gabriel with...what? Ah, that's the 9-billion dollar question that provides director Dominic Sena with a prize picture. The audience, given clues throughout, must wonder: is Ginger really working for the Drug Enforcement Administration or is she really Gabriel's numero uno? Most of all, is Gabriel a good guy working for the interests of the U.S. government despite being pursued avidly by Special Agent A.D. Roberts (Don Cheadle)? Or is he a villain interested principally in stashing billions into his numbered accounts around the world so that he can sail the Mediterranean on a yacht that would make Ari Onassis' boat pale?
The babes look like Bond girls and the women in the audience can't do better, looks-wise, than to gape at Mr. Jackman, who resembles a young Robert Redford. Dominic Sena still pushes the action-ad envelope as he did with last year's turkey, "Gone in 60 Seconds," but thanks to the machinations of Skip Woods screenplay he's redeemed himself along with Mr. Travolta. The opening scene, a philosophic chat by Travola about the nature of Hollywood, is a monologue worthy of the arthouse stage of Manhattan's Manhattan Theatre Club. Good show all around.
Rated R. Running time: 97 minutes. (C)2001, Harvey Karten<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


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SER
VICES
COFFEE
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INSTANT
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FRAME
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POR
TFOLIO
JUS
T DEFAULT SECTION
"Pewdiepie is better than T-Series. This is proven by science and is therefore fact! Lorem ipsum dolor sit amet, consectetur adipisicing elit. At nulla totam, dolorum, assumenda odit voluptas inventore deserunt, non animi culpa, voluptatem."
"The internet is a cesspool of individuals who continunally spout hypocrital nonsense whilst projecting their own obvious insecurities onto others under the guise of justice. Left or Right sided, it matters not as there's a lot being said whilst nothing is truly being said at all. In the end, it doesn't even matter."
TWI
TTER
"Twitter is quite possibly the worst creation on the internet right next to Facebook, Day one updates, early access and Microtransactions. " @TheInternet " Please nerf Twitter, Facebook, Activison and EA. k thx bai. "
WH
O IS JOHN DOE
"Who am I? I'm just your friendly neighborhood Spider-Man.
"How am I supposed to be an optimist about this? How am I supposed to be an optimist about this? Oh where do we begin? The rouble or our sins? Oh where do we begin? The rouble or our sins? And the walls kept toubling down in the city that we love."
"I've tried so hard, and got so far. In the end, it doesn't even matter. I've had to fall to loose it all. In the end, it doesn't even matter. I've put my trust, in you. Pushed as far as I can go. For all this, there's only one thing you should know. Fallout 76 sucked."
TES
TIMONIALS
"Wolfenstein 2 The New Cupcake was a pretty mediocre game that started off with a strong bang but quickly fell into pure blandness. The level design was the worst I've experienced in a first person shooter since Duke Nukem Forever. All the pretty graphics and edgy dark humor in the world cannot fix the fundemental flaws in this poorly paced, poorly executed example of an expensive financially successful and technically ground-breaking failure of a game."
-Hideo Kojima


| A | B | C | D | E | |
|---|---|---|---|---|---|
|
1
|
Project Name | Author | Summary | Technologies Used | README |
|
2
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RelaxingRain | BLKKKBVSIK | RelaxingRain is a Flutter app made for relaxing or focusing using animated background and ambiant sound. | Flutter, Dart | README |
|
3
|
Achille's Adventure | Chappy | A game about the trojan war as seen from Achille's POV | README | |
|
4
|
Countdown Timer | L4TTiCe | A simple Angular App to countdown to your favorite activities or important remainders. | Angular | README |
|
5
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CourseHelperApp | Tomoaki3284 | This project is for students at my university selecting the courses for future semesters with less work by utilizing various features, such as schedule visualization, filter course by various categories, etc. | README | |
|
6
|
ToDoList API | DuckyJN | Ruby on Rails | README | |
|
7
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Automate-Your-Wardrobe | ED2589 | An Automate-Your-Wardrobe app using the Tkinter and Pillow modules in Python | Tkinter, Pillow, Python | README |
|
8
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File Separator App | Shahibur66 | A desktop app for file management in particular directory which is, separating various extension files from source folder to specific folder based on the file extensions using Python. | Tinkter, Python | README |
|
9
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Garrick.monster | GarrickBee | Personal blog/portfolio | Node, Redis, Angular, NestJS, Google Cloud, MongoDB, Cloudflare, Cloudinary | README |
|
10
|
Maskfinder.com | GarrickBee | A mask crowd-sourcing platform | Codeigniter | README |
|
11
|
Meditation App | Jacob Pernell | An iOS audio-based meditation app | SwiftUI, iOS | README |
|
12
|
Covsay | JulianBD | A small CLI application that prints a user's desired message in a text bubble spoken by an ACII cow (or other animal) | CLI | README |
|
13
|
covidCaseDataTrackerNZ | MingShaneTong | Processes the Covid 19 cases in NZ and displays the daily and total case inlcuding cnfirmed and probable. | README | |
|
14
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drugInteractionChecker | MingShaneTong | Add drugs to the list and find out which drugs could interact | Ajax | README |
|
15
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pokemonTCGPriceChecker | MingShaneTong | Checks the prices of Pokemon Cards from 4 retail stores in NZ | README | |
|
16
|
Puppeteer | Justin Lin |
1. Scott Bot - which says "Yo Scott" in a discord channel 2. A Linkedin Scraper which is able to scrape for recruiter names, titles, and Linkedin links 3. A fake email injector to give me infinite coins on a networking website called Lunchclub AI so that I can generate infinite points to target my networking |
Selenium, Chromium web-scraping | README |
|
17
|
Python Microsoft Dynamic 365 Application Programming Interface | YTKMe | A basic Python REST API client built for Python 3.0+. | Microsoft Dynamics 365 Web API | README |
|
18
|
Go Fish with Hannah the Clown Fish | Angelina Brasen | A game of Go Fish that is played without a GUI where the user plays against an AI called Hannah the Clown Fish | README | |
|
19
|
Spotify Radio | Nico | An application that allows for people host their own Spotify radio stations that other Spotify Premium members can listen to in realtime. | Spotify API | README |
|
20
|
Tic- Tac- Toe Game | Linfeng Henry Bao | The game is basically a clone version of the google tic-tac-toe game, but the game's design is way much simpler | Javascript, CSS | README |
|
21
|
lightly-ocr | Aaron Pham | lightly's backend - receipt to text 📉 | Python, Docker | README |
|
22
|
AWS-resource-chatbot | trizzle21 | Enables monitoring resources in AWS | AWS, SQL | README |
|
23
|
Musiotic | KevinBNaughton | Musiotic is a Digital Audio Workstation (DAW) allowing new music producers to get started with making music | README | |
|
24
|
Kana Card | borntobegeek | A simple flashcard app for learning and practicing both hiragana and katakana and also the "double kanas" called yōon | iOS | README |
|
25
|
Fitness Bud | Bai | Fitness Bud is (currently, a client-side only) web application that generates a random workout video from Youtube, according to the user's choice of workout category (e.g. abs workout) | React.js, Nodejs | README |
|
26
|
A timer that makes you go AWWWWW | David Drabik, Francis Tse | A Pomodoro timer that rewards you at the end! When the timer goes to 0, you get a 🎁! It will probably be a cute cat or dog 😁 | React Native | README |
|
27
|
Boba Near U | dhansolo | An app that will tell you the information of the nearest Boba/Bubbletea joint relative to your current location | React, Node, Yelp API | README |
|
28
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COVID-19 County Tracker | dhansolo | React, Node, Rapid API | README | |
|
29
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Dino Run Game | Probhakar | A Dino Run Game, similar to the Chrome T-Rex Run Game | Flame, Flutter | README |
|
30
|
Basu | Grant R | A texting service to smartly help you find jobs for you | Typescript, Twilio API, AWS DynamoDB | README |
|
31
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MukosList | Mayuko Inoue | A SwiftUI shopping list app | iOS, SwiftUI | README |
|
32
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Let's Stay Consistent | Henry Nguyen | A simple web tool that will inputs exercise goals, logs progress, and keeps track of consistency. | ASP.NET MVC, Entity Framework, Bootstrap | README |
|
33
|
Muse | Andrew Zuo | A Dysfunctional Programming Language | JVM | README |
|
34
|
Four Player Pong Online | Jennarim | An online remote version of the classic arcade game Pong — but with four players. | Node.js, Express, React, SocketIO | README |
|
35
|
Fitbit Clock Face | Juan Garcia | A custom Fitbit clock face called Yosemite | Javascript, CSS, Scalable Vector Graphics | README |
|
36
|
movieRec | jonnachen | A 'tinder'-based web application to gather ratings for movies, and displays a movie based on a basic recommendation algorithm | Python, HTML/CSS, Javascript, Flask, Heroku, Github | README |
|
37
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Twinkle Teeth | Pau Riosa | An app for their dentist friend because they always wanted to have their own app that can manage appointment, messages, attachments etc | React-Native and Elixir | README |
|
38
|
OneCast | rahulap-dot-dev | An app that allows you to cast your favorite playlists from Youtube, Spotify, SoundCloud, and Twitch. All with just a click of a button. | React Native, Material Bottom Navigation, Snap Carousel, NodeJS for mobile | README |
|
39
|
Commensals | Richard Jiménez | A place where you can shere your thougths on food and restaurants. | Cordova, Node, Android | README |
|
40
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Brain Trainer | Roman Khzouz | An Android App for Practicing Vocabulary in Foreign Languages | C++, Android | README |
|
41
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Birb | Serena | A React Native app to help my family keep track of our birds and all necessary info about them, such as family relations, if they are currently laying eggs, when they started doing so, etc. | README | |
|
42
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EduCats | William Kuang | Educats aims to solve Australia's declining engagement and performance in STEM subjects by empowering students to practice for their exams with a gameful mindset. | React | README |
|
43
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Simple Inventory project | VinceSanityyy | A SPA web based inventory app | Vuejs, Laravel | README |
|
44
|
ReactTypingTutor | Sumer Sen, Vaibhav Sen Malla | Simple Typing Tutor Web App Game | HTML, CSS, Javascript | README |
|
45
|
Discrete Event Simulator | Haikal | A Discrete Event Simulator to simulate the environment of a shop where Servers serve incoming Customers! | Java | README |
|
46
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React Headless Wordpress Blog | wilsonj806 | A quick gardening blog that'll be built with React for the frontend and headless Wordpress as the CMS. | Wodpress, AWS, React | README |
|
47
|
PyArchive | Bruce Xu | PyArchive is an integrated file backup solution with a web GUI that provides a number of features that make it superior to conventional backup solutions | README | |
|
48
|
COVID-19 Project | Alok | An android application which tells the user how much this COVID-19 pandemic affected the world till now. | Android | README |
|
49
|
Book-saver | Yuhi Koizumi | Book-saver is a visual reminder of how much unread books on your bookshelf are worth and helps you stop letting books pile up unread. | Nuxt.js, Firebase, Netlify | README |
|
50
|
LeapMask | Luca Seva |
Detect when a person is approaching the terminal through facial
detection, detect if this particular person is wearing a face mask,
provide a basic touch-less input interface in order to minimize surface contact with the skin (gesture recognition capable) |
Python, Motion Sensor Library | README |
|
51
|
FightPandemics | snowiesuet |
I've volunteered in a project for fighting the current pandemic. This project aims to build a community where people can request or offer help in it! |
React | README |
|
52
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Outdoor Inspiration | luisaugusto | A new tab extension that displays photos and descriptions of US National Parks. | Chrome Extensions, Vue, Netlify | README |
|
53
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Smeargle | naclEric | Smeargle is a photo gallery web application that uses localStorage to store images. | README | |
|
54
|
Serba-Serbi 48 | Fadhillah C | The "Serba-Serbi 48" project was created to enable people (48 groups) to get rid of boredom at home by looking at websites that contain information about 48 groups (for example: about akb48, etc.) and do not contain false news, and are made in a manner simple in one page. | XAMPP, Laravel | README |
|
55
|
Open Source Finder | skarthikeyan96 | App which helps the user to find the beginner friendly open source issues based on the programming language which they like. | README | |
|
56
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Alexa Diagnose | Hlev1 | Alexa Diagnose is an Alexa skill that asks a patient a series of questions that gives the patient a diagnosis regarding how likely it is that they have COVID19. | AWS, Maven, Docker, Java11, SAM CLI | README |
|
57
|
ui-diff | albingroen | React, Node | README | |
|
58
|
BingeSquad | Patrick Vigneault | On the app you can publish or join events with random people, from watching a movie, to binging your favourite series, even an episode of an anime. | README | |
|
59
|
Pokedex | espitiaandres | An interactive pokedex that lets the user catch and remove wild pokemon, and displays their statistics such as type, abilities, move, and so on. | README | |
|
60
|
Convolutional Neural Network | andreiczcz | README | ||
|
61
|
Product Hunt Client | anesabml | Unofficial android app client for Product Hunt. | Android | README |
|
62
|
Pomodoify | hrbengsten | It's a relaxing and simple productivity app to boost your efficiency through the Pomodoro Technique and a rewarding progression system to make it fun and engaging. | Firebase | README |
|
63
|
Timetable Generator with GCal | mrdino2 | A timetable generator that syncs with google calander using python | Python | README |
|
64
|
Runwea | Javier A. Barragan | A basic Weather app with added Geolocation and a neat little feature that determines wheter or not it is the best time to go on a run. | React, Weather APIs | README |
|
65
|
Pomodoro Sound Focus | David Sasser | A Pomodoro plus White Noise web application using Node and React | React | README |
|
66
|
Notes App for Routine Dashboard | Allen Sun | A web app that aims to help people stay motivated and productive during quarantine | Django, Bootstrap | README |
|
67
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Maker | William Huynh | A web app to track projects that you work on using React | React, Material UI, Firebase | README |
|
68
|
DRAVID-19 | David Findley | Web Pictionary with friends | docker, Elm | README |
|
69
|
Mindful Shopping List App | Sara Rwentambo | A shopping list app that would encourage mindful shopping of clothes, items, and groceries. | Flutter, Dart, Android | README |
|
70
|
CaptionIngo | ZhFahim | A website to get the perfect caption for your perfect photo. | Node, ExpressJS, MongoDB | README |
|
71
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The ultimate home security system™ | Timothy Cole, Jack Douglas | Automatic air-soft turret | Raspberry Pi | README |
|
72
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Digital Window | Tommy Deng, Vivian Diec | Digital Window aims to mimic a real window in situations where they are not available. It does so by transitioning between different images of the day depending on the current time. | Next, Node | README |
|
73
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Job Application Tracker | Mikaela Caron | Easy way for you to track your job applications | iOS, UIKit | README |
|
74
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Kanson | Tyrng | A Kanban Board with Masonry Layout | Masonry | README |
|
75
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My Diary | lamirb591 | SQL | README | |
|
76
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Horizon | Hamzah Fayad | A little drawing & todo WebApp | Vue.js, MongoDB | README |
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77
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SpesApp | harisont | SpesApp is a grocery list app designed to help you avoid wasting food (and money!). | README |


What is it about experiences that inspire a poem, a photograph or a painting? We are convinced it is the humanness in them.
Technical finesse is a necessity but a good ad film cannot be created with mere flamboyance or style. It needs the human touch, only then will the viewer relate to it. The humanness in it ensures that the promise of the product, the brand or the service registers.
We try our best to provide that subtle human touch. We want every film of ours to be the fruit of that conviction.
Feel free to email us to provide some feedback on our works, our channel, business prospects or to just say hello!
contactk@madboys.com


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[gecode-users] questions about ViewAdvisor
Mikael Zayenz Lagerkvist
zayenz at gmail.com
Mon Dec 17 19:35:04 CET 2007
On Dec 17, 2007 7:19 PM, Pengyu Zhao <zpengyu at gmail.com> wrote:
> the advise() method declaration is:
> advise(Space* home, Advisor* a, const Delta* d);
> One of parameter of advise() is "advisor* a", If all the advisors are
> ViewAdvisor<View>, how to fetch the "view" in ViewAdvisor by using the
> point "a"?
You can down-cast a to a ViewAdvisor, and the use the member-function
view(), as in the following snippet from
gecode/int/linear/bool-int.icc:
...
ViewAdvisor<VX>* a = static_cast<ViewAdvisor<VX>*>(_a);
if (n_s == 0)
return ES_SUBSUMED_FIX(a,home,co);
assert(!a->view().none());
...
Cheers,
Mikael
--
Mikael Zayenz Lagerkvist, http://www.ict.kth.se/~zayenz/
More information about the gecode-users
mailing list


This is a title sequence that I created for a documentary about the Bauhaus School, titled: “Mask of Fear”. In this sequence I used AfterEffects and my digital compositing skills to tell the story using a technique inspired by Ken Burns. The images that I used were found from the internet and required a lot of work to get it in a more workable form.


{{localize "advantages"}}
{{#each actor.advantages as |item i|}}
{{/each}}
{{localize "disadvantages"}}
{{#each actor.disadvantages as |item i|}}
{{/each}}
{{localize "generalSpecialAbilities"}}
{{#each actor.specAbs.general as |item i|}}
{{/each}}
{{localize "fatePointsAbilities"}}
{{#each actor.specAbs.fatePoints as |item i|}}
{{/each}}
{{localize "animalSpecialAbilities"}}
{{#each actor.specAbs.animal as |item i|}}
{{/each}}
{{#each actor.traits.meleeAttack as |item i|}}
{{/each}} {{#each actor.traits.rangeAttack as |item i|}}
{{/each}} {{#each actor.traits.armor as |item i|}}
{{/each}} {{#each actor.traits.general as |item i|}}
{{/each}} {{#each actor.traits.animal as |item i|}}
{{/each}} {{#each actor.traits.familiar as |item i|}}
{{/each}}
{{#if actor.canAdvance}} {{> systems/dsa5/templates/actors/parts/creature-derived-attributes-large.html}} {{else}} {{> systems/dsa5/templates/actors/parts/creature-derived-attributes-small.html}} {{/if}} {{#if actor.canAdvance}}
{{/if}}
{{localize "Experience"}}
{{localize data.details.experience.description}}
{{localize "Current"}}
{{localize "Spent"}}
{{localize "Total"}}
{{data.details.experience.current}}


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FileToArray
- Class in
<Unnamed>
This utility class may be used to read the contents of a word file into an array.
FileToArray()
- Constructor for class
FileToArray
G
getTile()
- Method in class
TileGUI
Obtain the Tile object graphically represented by this TileGUI object.
L
letter()
- Method in class
Tile
Obtain the letter on this tile.
M
main(String[])
- Static method in class
FileToArray
Test harness for the read method.
main(String[])
- Static method in class
TileGUI
Test program for TileGUI.
R
read(String)
- Static method in class
FileToArray
Constructs a word list from the named file.
removeOne()
- Method in class
TileCollection
Remove a randomly chosen tile from the collection.
S
setForeground(Color)
- Method in class
TileGUI
Set the foreground colour for this graphical component.
size()
- Method in class
TileCollection
Obtain the number of tiles remaining in the collection.
T
Tile
- Class in
<Unnamed>
A Tile object represents a scrabble tile.
Tile(char, int)
- Constructor for class
Tile
Create a Tile for the given letter and value.
TileCollection
- Class in
<Unnamed>
A TileCollection object represents a set of Scrabble tiles.
TileCollection()
- Constructor for class
TileCollection
Create a new collection of scrabble tiles.
TileGUI
- Class in
<Unnamed>
This object type is a subtype of JButton, i.e.
TileGUI(Tile)
- Constructor for class
TileGUI
Create a TileGUI object that provides a graphical representation for the given Tile.
toString()
- Method in class
Tile
Obtain a String representation of this tile.
V
value()
- Method in class
Tile
Obtain the value of this letter tile.
F
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Nazimgarh Garden Resort
ITEM DESCRIPTION
Nazimgarh Resorts is everything a resort should be.
Set on six acres of landscaped hillside on the outskirts of Sylhet City,
it is a self contained island of tranquility amidst lush green foliage.
-------------------------------------
Room Rate-
Premier Room-BDT 10750
Deluxe-BDT 14550
Executive-BDT 15810
Executive Plus-BDT 18340
Luxury Suite-BDT 24030
Presidential Suite-BDT 30000
Hotel Supreme
HOTEL AMENITIES:
Free Parking
Breakfast included
Meeting Rooms
Business Center with Internet Access
Banquet Room
Multilingual Staff
Conference Facilities
Children Activities (Kid / Family Friendly)
Room Service
Airport Transportation
Breakfast Available
Nirvana Inn
Showcasing a playground and terrace, Nirvana Inn is located in Sylhet. Guests can enjoy the on-site restaurant. Free private parking is available on site.
A flat-screen TV with satellite channels and Nintendo Wii, as well as an iPad are provided. Certain units have a sitting area where you can relax. Certain rooms feature views of the mountains or garden. For your comfort, you will find slippers and a hairdryer. Superior rooms include a sauna or a hot tub.
There is a 24-hour front desk and hairdresser's at the property.
You can play ping-pong at this hotel, and bike rental and car rental are available.
This property also has one of the top-rated locations in Sylhet! Guests are happier about it compared to other properties in the area.
Couples in particular like the location – they rated it 8.2 for a two-person trip.
This property is also rated for the best value in Sylhet! Guests are getting more for their money when compared to other properties in this city.
Rose View Hotel
Featuring free WiFi throughout the property, Rose View Hotel offers accommodations in Sylhet. Guests can enjoy the on-site restaurant. Free private parking is available on site.
Some accommodations feature a private bathroom with a spa tub, and others have slippers and free toiletries. Some rooms have a sitting area for your convenience. A flat-screen TV is available.
There is a hairdresser's at the property.
You can play ping-pong at the hotel. The hotel also provides car rental.


Oracle Digital Assistant
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Rabbit's FootLike human sacrifice and faith healing, the lucky rabbit's foot is an ancient tradition whose best days may have passed.Rabbits are native to Europe and Africa, where they're plentiful and tasty. Their fur was used to make clothing and boots; the remainder of the rabbit was good for meat. Over thousands of years, millions of families have eaten trillions of rabbits. Each of these bunnies came equipped with four paws. The paws aren't especially meaty, but they do preserve well. Although you can treat them for better durability, rabbit's feet don't really require any elaborate taxidermy. You pretty much dry it out and cover the stump (if you want it to be pretty).  Well-bred ladies used to apply powder to their faces with rabbit's foot puffs. And medieval goldsmiths used rabbits' feet for polishing finished gold and silver products (which is probably how they came to be associated with monetary gain). By the time the Middle Ages dawned, rabbits' feet were also in wide use as lucky charms in Europe. Similar practices were found in Asia (where rabbits were less prolific) and among native North Americans. In Africa, there was a well-developed tradition of using animal parts in witchcraft. Rabbits were considered fertility totems, due to their being such randy little bastards. When America began kidnapping Africans as slaves, they brought their religions with them, although they mutated into new forms in the New World. Among American blacks, practices like voodoo and Santeria made ample use of animal parts. In the U.S., rabbit's feet were employed for good luck by both the high and the low. While postage-stamp sized ads in early comic books and pulp magazines hawked their amazing lucky properties, gold-plated ornaments made their way to the rich and powerful. In 1909, President Teddy Roosevelt was given a gold-mounted rabbit's foot by Irish prizefighter John L. Sullivan. Roosevelt credited the foot with contributing to the success of his big-game hunting during the trip. All the earlier traditions dropped into the American melting pot, but rabbit's feet weren't prominent culturally until the early 20th century, when the rise of blues music popularized "hoodoo," a collection of African-derived folk magic practices only loosely connected to voodoo. Many early blues men were heavily influenced by religion, whether it was occultish folk tradition or deeply felt Christianity. When the blues exploded into mainstream American culture in the 1920s, hoodoo became a force to be reckoned with. Hoodoo quickly became a cottage industry, as gullible white people flocked to buy lucky mojo bags, mojo spell books, mojo tinctures and mojo talismans. One of the best-selling mojo products was the rabbit's foot. By this time, large-scale rabbit farms in the U.S. and the U.K. were breeding millions of bunnies every year for meat. Penned in tiny cages and left to do what rabbits do best, these increasingly industrialized farms provided meat for human food and pet food, while other breeds of rabbit were cultivated specifically for fur. All of these rabbits had feet. While fur breeders occasionally used the feet as a tassle, the meat industry had no use for them. Fortunately, the Industrial Revolution had also fueled a booming American industry sector in novelty toys -- inexpensive, mass-produced trinkets marketed primarily to kids. Millions of rabbit's feet were being generated by the farms every year. They had no practical commodity value, but they were easily preserved. As a result, rabbit's foot keychains were incredibly inexpensive to produce. They could be sold at a very low price and still be profitable.  For the kiddies, the smaller, fuzzier front paws were often used, and the fur was dyed bright, unnatural colors, in order to distract parents from the fact that their children were carrying amputated animal parts around in their pockets. There are no reliable figures about how many rabbit's feet have been sold in the U.S. since mass marketing began in the 1940s, but it's safe to say the number is at least in the hundreds of millions. For decades, these trinkets were considered harmless fun for the kiddies. Then, starting in the 1960s, a militant sort of social consciousness arose on the topic of fur. For a while, the anti-fur movement was strictly a liberal hippie pursuit.  Animal rights groups zeroed in on the rabbit farms, and on the commoditization of rabbit's feet as a symbol of all that was evil in this world. Interest in real fur bottomed around around 1980, and synthetic fur products were on the rise. Targeted by animal rights activists, the novelty toy manufacturers figured -- correctly -- that most kids weren't likely to notice the old switcheroo. Simulated rabbit's feet debuted, made with hard latex bones and deep pile synthetic fur (similar to a deep-pile rug). Today, the vast majority of lucky rabbits' feet on the market are fake. Granted, there's no scientific proof to show that a real rabbit's foot is lucky.  Fortunately, there are still options for the discerning seeker of luck. The best option is to visit a taxidermist, where you can specify your requirements in some detail. When ordering, remember that the rear paw is the lucky one. Of course, the final product may not be extremely appealing as a key chain, but then, you're in this for the luck, right? You can also order more attractive real rabbit's foot amulets and keychains from voodoo and occult shops, or from Native American craftsmen. If you're too cheap for all of the above, and you don't mind having a rabbit's foot dyed in fluorescent colors, go to a pet store, where they have cat toys made from real rabbits' feet. Of course, they have entire rabbits at those stores as well. Animal shelters do occasionally receive bunnies who have had their paws hacked off by their previous owners. Since you have other options, this is not recommended. If you have a psychological need to torture bunnies, perhaps you should just go buy some mascara instead. It's cheaper, there's less of a mess to clean up, and Procter & Gamble is much better at sadism than you are.
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All Ride Offers Taken
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Nakuru - Gilgil
21st of January at 8:00 AM
Thika - Ruiru
25th of January at 12:40 PM
Nairobi - Limuru
30th of January at 7:00 AM
Kasarani - Rongai
2nd of February at 1:00 PM
Naivasha - Bahati
13th of February at 6:40 PM
Nyamira - Kisumu
1st of march at 10:40 AM


Back to Map
Look for: Mottled bark, exfoliating in irregular patches, short .75-2.5 inch dark green leaves, late-summer flowers/fruit
Origin: China, Korea, Japan
The Lacebark Elm, or Chinese Elm, is a medium- sized tree that typically grows to 40-50 and is arguably the best elm for landscape use in Connecticut. It performs well in difficult urban settings, is resistant to insects that attack elms and is also resistant to the Dutch elm disease which has been so problematic for the American Elm. The trunk of Lacebark Elm has a handsome, flaking bark of mottled grays with tans and reds. Insignificant, small, reddish-green flowers appear in late summer. Flowers give way to single-seeded wafer-like samaras (each tiny seed is surrounded by a flattened circular papery wing) that mature in fall. Elliptic to ovate, shiny dark green leaves (to 3” long) have small teeth. Leaves typically turn an undistinguished dull yellow in fall, but sometimes produce more interesting yellows or reddish-purples.
USDA Zones 4-9


Async Tests and Promises
This test assumes ECMAScript 6 Promise support. Some failures are expected.


The disk_writep function writes data to the sector.
DRESULT disk_writep ( BYTE* buff, /* [IN] Pointer to the data to be written */ DWORD sect_bytes, /* [IN] Sector number or Number of bytes to wtite */ );
The sector write operation is done in following sequence.
If a write operation is in progress, disk_readp() function will fail and disk_initialize() function finalize the write operation.
This funciton is not needed in read-only configuration.


{% extends "base.html" %} {% block content %}
Make sure you start this app with start.sh
places
Login Using OAuth


--- title: Thanks for coming to WAC! --- {% include head.html %}
So long, and thanks for all the fish!
The WAC Team and The WAC Website Team


Hey folks. I said it was a big deal that we have 1M accounts and then I said it’s important we all run around and post this news around the internet. So, here’s the deal. I’m gonna run a scavenger hunt. It’s worth 10 SBD. The first 30 people to complete it will get the money.
What do you do?
- Resteem this post.
- Write a post sharing that Steem hit 1M users. Explain the benefits of the platform-
Examples-
Earn from posting
Make friends
Share a story while blogging
Get your creations into the universe
Get paid while gaming
Grow a following
Investing in crypto
I don’t care. Have a picture. Make it a few paragraphs. That’s the minimum for the post to count.
- Share the article to 3 other social media platforms. Take screenshots.
Link your article in the comments below with the 3 screenshots.
Completed entries get 10 SBD. Excellent entries will get Resteems too.
Vote for (or show that you vote for) any witness, show a screenshot of that too.
Limit of 30 complete articles to get paid.
Chance of a followup contest if I think the entries are excellent.
You have until this post expires to complete the hunt.
Any post that gets “Cheetahed” will be disqualified.
UPDATE
I’m closing the contest. I’ve accepted 40 entries.
This page is synchronized from the post: ‘1 Millionth Steem account scavenger hunt. 300 SBD up for grabs!’


Tutorials
Follow these to get started
developing Google Chrome Extensions:
The remaining tutorials cover
more specialized topics:
- Google Analytics -
Track the usage of your extension.
- OAuth -
Learn how your extension can use APIs
(such as Google Data APIs)
that support OAuth.
This tutorial features an OAuth library
that you can reuse in your extension.


interface Robot
abstract suspend fun connect(): Unit
Connect the robot |
|
abstract suspend fun disconnect(): Unit
Disconnect the robot |
|
abstract fun isConnected(): Boolean
Tell if the connection with robot is still working |
|
abstract fun setOnRobotLost(function: (String) -> Unit): Unit
Set the callback called when the connection with robot is lost |
|
abstract fun stop(vararg actions: Action): Unit
Stop all or a specific set of actions |
abstract class NaoqiRobot : Robot
Interface to call robotics API on Naoqi's robots |


We have 2 layouts to choose from and other options you can try. Just click the
add
in the bottom right.
Check out the demos below if you're having any trouble
Hi there! We're excited to curate an experience for you. Come here each day to see a new work of art
with dynamic styles that change based on the colors of the painting itself.
Add your name here so we can greet you, and let us know if we can use your location if you want the styles to reflect your local weather too!
You can click on the add button in the bottom of the screen to customize like you see below:


4 June 2018
TODO:
if(class(...
to as()
I()
on arguments to control behaviorBy customizable, we mean that we can control the behaviour of a function via its parameters, and specifically, that we can pass a function in to the function that is used to do a particular step in that function. Below we discuss the scheduler parameter which takes a function that computes the schedule. By being able to provide a function, we don’t have to define a new class and a new method and then create an instance of that new class to get our new method invoked. The function is more direct, dynamic and ephemeral. It is in effect for this function call.
By extensible, we are referring to infrastructure and more specifically extensibility via class extension/subclassing/interfaces in the Object Oriented Programming (OOP) world. So we can extend the existing code base without modifying it by defining one or more new classes (typically derived from an existing class) and then providing methods for this new class. Then we create a new instance of our new class and pass it into the existing system and the new methods get invoked appropriately.
We’ll explore these concepts in the context of a concrete example. The software described below transforms regular R code into a version that uses task parallelism, which means that different code blocks execute simultaneously. This graph illustrates the steps:
The package contains a function task_parallel
implementing the above steps, so users write:
newcode = task_parallel(oldcode)
We discuss how to design this function task_parallel
to be flexibile and customizable with respect to the four objects in the diagram:
and with respect to the three functions in the diagram:
This document demonstrates incremental steps to make functions more extensible and customizable.
Here’s the simplest way to implement task_parallel
:
task_parallel = function(code)
{
tg = task_graph(code)
sc = scheduler(tg)
code_generator(sc)
}
This has the advantage of convenience for the user, because it implies the following mental model.
task_parallel()
is a black box, completely abstracted away. The user only controls what code they pass in. Sometimes this level of abstraction is entirely appropriate, as we don’t want to force users to have to understand all aspects of the implementation. Indeed, the entire purpose of a function is to provide a convenient abstraction. The problem with this implementation is that it fixes the scheduling algorithm and code generator so that the user has no control over the behavior of the task_parallel
function.
As we make the function customizable and extensible we would like to always keep this simple behavior that allows users to write autoparallel(code)
. It’s convenient, it’s the most common use case, and it includes users who don’t care about understanding any of the underlying mental models, they just want the end result.
The user may prefer to pass in different types of input to task_parallel
. For example, they may have the name of a file containing code, a bunch of code in a character vector, or maybe a language object produced by R’s parse()
function.
We can keep the current definition for task_parallel
and achieve this behavior by making task_graph
a generic function. This means task_graph
will dispatch on the class of the input code
. This is a better choice than making task_parallel
a generic function, because then task_graph
becomes flexible and propagates this flexibility through to the calling function task_parallel
. In S3 our code might look like the following:
task_graph = function(code, ...)
{
UseMethod("task_graph")
}
task_graph.character = function(code, ...)
{
# ... Disambiguate file names from a character vector of unparsed code
TODO: use of I() here
task_graph(parse(filename))
}
task_graph.expression = function(code, ...)
{
# The actual work of building a task graph
}
The scheduler happens to be the most complex step in the process, and we would like to provide a way for users to easily control these parameters. R’s ellipses ...
provide a mechanism for this. Note that it really only makes sense to use this with a single function.
task_parallel = function(code, ...)
{
tg = task_graph(code)
sc = scheduler(tg, ...)
code_generator(sc)
}
Now if a user wants to specify another argument to the scheduling step, say maxworkers = 3L
to create a schedule with three workers they can easily do this:
newcode = task_parallel(code, maxworkers = 3L)
We could take this further and pass in further arguments in the form of a list from task_parallel
in to the other steps task_graph
and code_generator
. We are not doing this at the moment for two reasons. First, we don’t currently see a need for specifying many arguments for these two functions. Second, it’s easy to add later without breaking anything.
In the original computational model the scheduling algorithm and the code generation are meant to be modular. Users can customize the system by supplying their own functions that implement scheduling or code generation.
The code becomes:
task_parallel = function(code, scheduler = default_scheduler, ...
code_generator = default_code_generator)
{
tg = task_graph(code)
sc = scheduler(tg, ...)
code_generator(sc)
}
Now users can define and use their own scheduling algorithms, for example genetic_scheduler
that uses a genetic algorithm.
newcode = task_parallel(code, genetic_scheduler)
Suppose the user wants to modify some part of the pipeline. If the user has a schedule in hand then they can directly call the code generator, and there’s no need to use task_parallel
. But they may want to modify the task graph and pass this directly in. R evaluates arguments lazily, so we can allow users to pass in a task graph by lifting the first line in the body of the function into a default parameter:
task_parallel = function(code, taskgraph = task_graph(code), scheduler = default_scheduler,
..., code_generator = default_code_generator)
{
sc = scheduler(taskgraph, ...)
code_generator(sc)
}
We could even lift several lines into default parameters, provided that we avoid circular references.
Some schedulers must be tied to their code generators. We want the runtime to figure out what the most appropriate code generator is and use that. This is where the extensibility through object oriented programming comes in. We change the package code as follows:
generate_code = function(schedule, ...)
{
UseMethod("generate_code")
}
generate_code.default = function(schedule, ...)
{
# ... more code here ...
}
At this point two of the three steps in the model use methods. We may as well be consistent and make the scheduling step a method, even though we don’t expect to dispatch on many different classes of task graphs.
schedule = function(taskgraph, maxworkers = 2L, ...)
{
UseMethod("schedule")
}
schedule.default = function(taskgraph, maxworkers, ...)
{
# ... more code here ...
class(result) = "Schedule"
result
}
The primary function becomes:
task_parallel = function(code, taskgraph = task_graph(code),
scheduler = schedule, ..., code_generator = generate_code)
{
sc = scheduler(tg, ...)
code_generator(sc)
}
Now we can extend the system through object oriented programming. For example, fork_join_schedule
is a scheduling algorithm that returns a more specialized schedule that supports a particular type of code generator. Then we don’t want to use the default_code_generator
. By using a generic function the user OR the package author can define a scheduling algorithm with an associated implementation as follows:
fork_join_schedule = function(taskgraph, maxworkers = 2L, ...)
{
# ... more code here ...
class(result) = c("ForkJoinSchedule", "Schedule")
result
}
generate_code.ForkJoinSchedule = function(schedule, ...)
{
# ... more code here ...
}
We can call this new code as follows:
task_parallel(code, scheduler = fork_join_schedule)
fork_join_schedule
creates an object of class ForkJoinSchedule
, and generate_code
will dispatch to the specialized method. These objects become implicitly tied together which is what we wanted.
We started with a function task_parallel
that could only be called in one simple way:
task_parallel(code)
.We preserved this desirable simple behavior and extended it so that users can do any of the following:
task_parallel("some_script.R")
methods for different classes of the first argument.task_parallel(taskgraph = tg)
skips the setup part of the function in case the user has already done that or they have a special task graph to use.task_parallel(code, schedule = my_scheduler, code_generator = my_code_generator)
allows users to customize the steps in the process by passing in their own functions to perform them.task_parallel(code, schedule = fork_join_schedule)
dispatches on the class allowing users to extend the system through defining their own classes.This style of code accommodates three increasingly sophisticated classes of users:
The final version of the code supports all of these use cases simultaneously. Further, we don’t force users to do it in any particular way. This is nice as each usage style has its merits.
# Different inputs
#------------------------------------------------------------
task_graph = function(code, ...)
{
UseMethod("task_graph")
}
task_graph.character = function(code, ...)
{
# ... Disambiguate file names from a character vector
task_graph(parse(filename))
}
task_graph.expression = function(code, ...)
{
# The actual work of building a task graph
}
# Allows extension through intermediate objects
#------------------------------------------------------------
generate_code = function(schedule, ...)
{
UseMethod("generate_code")
}
generate_code.default = function(schedule, ...)
{
# ... more code here ...
}
schedule = function(taskgraph, maxworkers = 2L, ...)
{
UseMethod("schedule")
}
schedule.default = function(taskgraph, maxworkers, ...)
{
# ... more code here ...
class(result) = "Schedule"
result
}
# Final user facing function
#------------------------------------------------------------
task_parallel = function(code, taskgraph = task_graph(code),
scheduler = schedule, ..., code_generator = generate_code)
{
sc = scheduler(tg, ...)
code_generator(sc)
}


Table of Contents
A Short Introduction to Entropy, Cross-Entropy and KL-Divergence
Deep Learning Information Theory (Cross-Entropy and MLE)
Further Info (Lecture)
Visual Information Theory (Chris Olahs’ Blog)
Deep Learning and Information Theory (Blog)
Information Theory | Statistics for Deep Learning (Blog)
Information Theory
-
Information Theory:
Information theory is a branch of applied mathematics that revolves around quantifying how much information is present in a signal.
In the context of machine learning, we can also apply information theory to continuous variables where some of these message length interpretations do not apply, instead, we mostly use a few key ideas from information theory to characterize probability distributions or to quantify similarity between probability distributions.
- Motivation and Intuition:
The basic intuition behind information theory is that learning that an unlikely event has occurred is more informative than learning that a likely event has occurred. A message saying “the sun rose this morning” is so uninformative as to be unnecessary to send, but a message saying “there was a solar eclipse this morning” is very informative.
Thus, information theory quantifies information in a way that formalizes this intuition:- Likely events should have low information content - in the extreme case, guaranteed events have no information at all
- Less likely events should have higher information content
- Independent events should have additive information. For example, finding out that a tossed coin has come up as heads twice should convey twice as much information as finding out that a tossed coin has come up as heads once.
-
Measuring Information:
In Shannons Theory, to transmit \(1\) bit of information means to divide the recipients Uncertainty by a factor of \(2\).Thus, the amount of information transmitted is the logarithm (base \(2\)) of the uncertainty reduction factor.
The uncertainty reduction factor is just the inverse of the probability of the event being communicated.
Thus, the amount of information in an event \(\mathbf{x} = x\), called the Self-Information is:
$$I(x) = \log (1/p(x)) = -\log(p(x))$$
Shannons Entropy:
It is the expected amount of information of an uncertain/stochastic source. It acts as a measure of the amount of uncertainty of the events.
Equivalently, the amount of information that you get from one sample drawn from a given probability distribution \(p\).
- Self-Information:
The Self-Information or surprisal is a synonym for the surprise when a random variable is sampled.
The Self-Information of an event \(\mathrm{x} = x\):$$I(x) = - \log P(x)$$
Self-information deals only with a single outcome.
- Shannon Entropy:
To quantify the amount of uncertainty in an entire probability distribution, we use Shannon Entropy.
Shannon Entropy is defined as the average amount of information produced by a stochastic source of data.$$H(x) = {\displaystyle \operatorname {E}_{x \sim P} [I(x)]} = - {\displaystyle \operatorname {E}_{x \sim P} [\log P(X)] = -\sum_{i=1}^{n} p\left(x_{i}\right) \log p\left(x_{i}\right)}$$
Differential Entropy is Shannons entropy of a continuous random variable \(x\).
-
Distributions and Entropy:
Distributions that are nearly deterministic (where the outcome is nearly certain) have low entropy; distributions that are closer to uniform have high entropy. - Relative Entropy | KL-Divergence:
The Kullback–Leibler divergence (Relative Entropy) is a measure of how one probability distribution diverges from a second, expected probability distribution.
Mathematically:$${\displaystyle D_{\text{KL}}(P\parallel Q)=\operatorname{E}_{x \sim P} \left[\log \dfrac{P(x)}{Q(x)}\right]=\operatorname{E}_{x \sim P} \left[\log P(x) - \log Q(x)\right]}$$
- Discrete:
$${\displaystyle D_{\text{KL}}(P\parallel Q)=\sum_{i}P(i)\log \left({\frac {P(i)}{Q(i)}}\right)}$$
- Continuous:
$${\displaystyle D_{\text{KL}}(P\parallel Q)=\int_{-\infty }^{\infty }p(x)\log \left({\frac {p(x)}{q(x)}}\right)\,dx,}$$
Interpretation:
- Discrete variables:
it is the extra amount of information needed to send a message containing symbols drawn from probability distribution \(P\), when we use a code that was designed to minimize the length of messages drawn from probability distribution \(Q\). - Continuous variables:
Properties:
- Non-Negativity:
\({\displaystyle D_{\mathrm {KL} }(P\|Q) \geq 0}\) - \({\displaystyle D_{\mathrm {KL} }(P\|Q) = 0 \iff}\) \(P\) and \(Q\) are:
- Discrete Variables:
the same distribution - Continuous Variables:
equal “almost everywhere”
- Discrete Variables:
- Additivity of Independent Distributions:
\({\displaystyle D_{\text{KL}}(P\parallel Q)=D_{\text{KL}}(P_{1}\parallel Q_{1})+D_{\text{KL}}(P_{2}\parallel Q_{2}).}\) - \({\displaystyle D_{\mathrm {KL} }(P\|Q) \neq D_{\mathrm {KL} }(Q\|P)}\)
This asymmetry means that there are important consequences to the choice of the ordering
- Convexity in the pair of PMFs \((p, q)\) (i.e. \({\displaystyle (p_{1},q_{1})}\) and \({\displaystyle (p_{2},q_{2})}\) are two pairs of PMFs):
\({\displaystyle D_{\text{KL}}(\lambda p_{1}+(1-\lambda )p_{2}\parallel \lambda q_{1}+(1-\lambda )q_{2})\leq \lambda D_{\text{KL}}(p_{1}\parallel q_{1})+(1-\lambda )D_{\text{KL}}(p_{2}\parallel q_{2}){\text{ for }}0\leq \lambda \leq 1.}\)
KL-Div as a Distance:
Because the KL divergence is non-negative and measures the difference between two distributions, it is often conceptualized as measuring some sort of distance between these distributions.
However, it is not a true distance measure because it is not symmetric.KL-div is, however, a Quasi-Metric, since it satisfies all the properties of a distance-metric except symmetry
Applications
Characterizing:- Relative (Shannon) entropy in information systems
- Randomness in continuous time-series
- It is a measure of Information Gain; used when comparing statistical models of inference
Example Application and Direction of Minimization
Suppose we have a distribution \(p(x)\) and we wish to approximate it with another distribution \(q(x)\).
We have a choice of minimizing either:- \({\displaystyle D_{\text{KL}}(p\|q)} \implies q^\ast = \operatorname {arg\,min}_q {\displaystyle D_{\text{KL}}(p\|q)}\)
Produces an approximation that usually places high probability anywhere that the true distribution places high probability. - \({\displaystyle D_{\text{KL}}(q\|p)} \implies q^\ast \operatorname {arg\,min}_q {\displaystyle D_{\text{KL}}(q\|p)}\)
Produces an approximation that rarely places high probability anywhere that the true distribution places low probability.which are different due to the asymmetry of the KL-divergence
- Cross Entropy:
The Cross Entropy between two probability distributions \({\displaystyle p}\) and \({\displaystyle q}\) over the same underlying set of events measures the average number of bits needed to identify an event drawn from the set, if a coding scheme is used that is optimized for an “unnatural” probability distribution \({\displaystyle q}\), rather than the “true” distribution \({\displaystyle p}\).$$H(p,q) = \operatorname{E}_{p}[-\log q]= H(p) + D_{\mathrm{KL}}(p\|q) =-\sum_{x }p(x)\,\log q(x)$$
It is similar to KL-Div but with an additional quantity - the entropy of \(p\).
Minimizing the cross-entropy with respect to \(Q\) is equivalent to minimizing the KL divergence, because \(Q\) does not participate in the omitted term.
We treat \(0 \log (0)\) as \(\lim_{x \to 0} x \log (x) = 0\).
-
Mutual Information:
The Mutual Information (MI) of two random variables is a measure of the mutual dependence between the two variables.
More specifically, it quantifies the “amount of information” (in bits) obtained about one random variable through observing the other random variable.It can be seen as a way of measuring the reduction in uncertainty (information content) of measuring a part of the system after observing the outcome of another parts of the system; given two R.Vs, knowing the value of one of the R.Vs in the system gives a corresponding reduction in (the uncertainty (information content) of) measuring the other one.
As KL-Divergence:
Let \((X, Y)\) be a pair of random variables with values over the space \(\mathcal{X} \times \mathcal{Y}\) . If their joint distribution is \(P_{(X, Y)}\) and the marginal distributions are \(P_{X}\) and \(P_{Y},\) the mutual information is defined as:$$I(X ; Y)=D_{\mathrm{KL}}\left(P_{(X, Y)} \| P_{X} \otimes P_{Y}\right)$$
In terms of PMFs for discrete distributions:
The mutual information of two jointly discrete random variables \(X\) and \(Y\) is calculated as a double sum:$$\mathrm{I}(X ; Y)=\sum_{y \in \mathcal{Y}} \sum_{x \in \mathcal{X}} p_{(X, Y)}(x, y) \log \left(\frac{p_{(X, Y)}(x, y)}{p_{X}(x) p_{Y}(y)}\right)$$
where \({\displaystyle p_{(X,Y)}}\) is the joint probability mass function of \({\displaystyle X}\) X and \({\displaystyle Y}\), and \({\displaystyle p_{X}}\) and \({\displaystyle p_{Y}}\) are the marginal probability mass functions of \({\displaystyle X}\) and \({\displaystyle Y}\) respectively.
In terms of PDFs for continuous distributions:
In the case of jointly continuous random variables, the double sum is replaced by a double integral:$$\mathrm{I}(X ; Y)=\int_{\mathcal{Y}} \int_{\mathcal{X}} p_{(X, Y)}(x, y) \log \left(\frac{p_{(X, Y)}(x, y)}{p_{X}(x) p_{Y}(y)}\right) d x d y$$
where \(p_{(X, Y)}\) is now the joint probability density function of \(X\) and \(Y\) and \(p_{X}\) and \(p_{Y}\) are the marginal probability density functions of \(X\) and \(Y\) respectively.
Intuitive Definitions:
- Measures the information that \(X\) and \(Y\) share:
It measures how much knowing one of these variables reduces uncertainty about the other.- \(X, Y\) Independent \(\implies I(X; Y) = 0\): their MI is zero
- \(X\) deterministic function of \(Y\) and vice versa \(\implies I(X; Y) = H(X) = H(Y)\) their MI is equal to entropy of each variable
- It’s a Measure of the inherent dependence expressed in the joint distribution of \(X\) and \(Y\) relative to the joint distribution of \(X\) and \(Y\) under the assumption of independence.
i.e. The price for encoding \({\displaystyle (X,Y)}\) as a pair of independent random variables, when in reality they are not.
Properties:
- The KL-divergence shows that \(I(X; Y)\) is equal to zero precisely when the joint distribution conicides with the product of the marginals i.e. when \(X\) and \(Y\) are independent.
- The MI is non-negative: \(I(X; Y) \geq 0\)
- It is a measure of the price for encoding \({\displaystyle (X,Y)}\) as a pair of independent random variables, when in reality they are not.
- It is symmetric: \(I(X; Y) = I(Y; X)\)
- Related to conditional and joint entropies:
$${\displaystyle {\begin{aligned}\operatorname {I} (X;Y)&{}\equiv \mathrm {H} (X)-\mathrm {H} (X|Y)\\&{}\equiv \mathrm {H} (Y)-\mathrm {H} (Y|X)\\&{}\equiv \mathrm {H} (X)+\mathrm {H} (Y)-\mathrm {H} (X,Y)\\&{}\equiv \mathrm {H} (X,Y)-\mathrm {H} (X|Y)-\mathrm {H} (Y|X)\end{aligned}}}$$
where \(\mathrm{H}(X)\) and \(\mathrm{H}(Y)\) are the marginal entropies, \(\mathrm{H}(X | Y)\) and \(\mathrm{H}(Y | X)\) are the conditional entopries, and \(\mathrm{H}(X, Y)\) is the joint entropy of \(X\) and \(Y\).
- Note the analogy to the union, difference, and intersection of two sets:
- Note the analogy to the union, difference, and intersection of two sets:
- Related to KL-div of conditional distribution:
$$\mathrm{I}(X ; Y)=\mathbb{E}_{Y}\left[D_{\mathrm{KL}}\left(p_{X | Y} \| p_{X}\right)\right]$$
- MI (tutorial #1)
- MI (tutorial #2)
Applications:
- In search engine technology, mutual information between phrases and contexts is used as a feature for k-means clustering to discover semantic clusters (concepts)
- Discriminative training procedures for hidden Markov models have been proposed based on the maximum mutual information (MMI) criterion.
- Mutual information has been used as a criterion for feature selection and feature transformations in machine learning. It can be used to characterize both the relevance and redundancy of variables, such as the minimum redundancy feature selection.
- Mutual information is used in determining the similarity of two different clusterings of a dataset. As such, it provides some advantages over the traditional Rand index.
- Mutual information of words is often used as a significance function for the computation of collocations in corpus linguistics.
- Detection of phase synchronization in time series analysis
- The mutual information is used to learn the structure of Bayesian networks/dynamic Bayesian networks, which is thought to explain the causal relationship between random variables
- Popular cost function in decision tree learning.
- In the infomax method for neural-net and other machine learning, including the infomax-based Independent component analysis algorithm
Independence assumptions and low-rank matrix approximation (alternative definition):
As a Metric (relation to Jaccard distance):
- Measures the information that \(X\) and \(Y\) share:
- Pointwise Mutual Information (PMI):
The PMI of a pair of outcomes \(x\) and \(y\) belonging to discrete random variables \(X\) and \(Y\) quantifies the discrepancy between the probability of their coincidence given their joint distribution and their individual distributions, assuming independence. Mathematically:$$\operatorname{pmi}(x ; y) \equiv \log \frac{p(x, y)}{p(x) p(y)}=\log \frac{p(x | y)}{p(x)}=\log \frac{p(y | x)}{p(y)}$$
In contrast to mutual information (MI) which builds upon PMI, it refers to single events, whereas MI refers to the average of all possible events.
The mutual information (MI) of the random variables \(X\) and \(Y\) is the expected value of the PMI (over all possible outcomes).
More
- Conditional Entropy: \(H(X \mid Y)=H(X)-I(X, Y)\)
- Independence: \(I(X, Y)=0\)
- Independence Relations: \(H(X \mid Y)=H(X)\)


| stitch {knitr} | R Documentation |
This is a convenience function for small-scale automatic reporting based on
an R script and a template. The default template is an Rnw file (LaTeX);
stitch_rhtml()
and stitch_rmd()
are wrappers on top of
stitch()
using the R HTML and R Markdown templates respectively.
stitch( script, template = system.file("misc", "knitr-template.Rnw", package = "knitr"), output = NULL, text = NULL, envir = parent.frame() ) stitch_rhtml(..., envir = parent.frame()) stitch_rmd(..., envir = parent.frame())
script |
Path to the R script. |
template |
Path of the template to use. By default, the Rnw template in this package; there is also an HTML template in knitr. |
output |
Output filename, passed to |
text |
A character vector. This is an alternative way to provide the input file. |
envir |
Environment in which code chunks are to be evaluated, for
example, |
... |
Arguments passed to |
The first two lines of the R script can contain the title and author of the report in comments of the form ## title: and ## author:. The template must have a token %sCHUNK_LABEL_HERE, which will be used to input all the R code from the script. See the examples below.
The R script may contain chunk headers of the form ## ---- label, opt1=val1, opt2=val2, which will be copied to the template; if no chunk headers are found, the whole R script will be inserted into the template as one code chunk.
path of the output document
spin
(turn a specially formatted R script to a report)
s = system.file("misc", "stitch-test.R", package = "knitr") if (interactive()) stitch(s) # compile to PDF # HTML report stitch(s, system.file("misc", "knitr-template.Rhtml", package = "knitr")) # or convert markdown to HTML stitch(s, system.file("misc", "knitr-template.Rmd", package = "knitr")) unlink(c("stitch-test.html", "stitch-test.md", "figure"), recursive = TRUE)


MANNEQUIN TWO: ON THE MOVE A film review by Roger Snappy Rubio Copyright 1991 Roger Snappy Rubio
MANNEQUIN TWO: ON THE MOVE Starring: Kristy Swanson, William Ragsdale, Terry Kiser, Stuart Pankin, and Meshach Taylor as "Hollywood" Produced by Edward Rugoff Directed by Stewart Raffill
MANNEQUIN ON THE MOVE (which is its title; MANNEQUIN TWO was its advertising title to let people know that this movie is a sequel) is the story of a young prince and a peasant girl who, about one thousand years ago, fell hopelessly in love with each other, much to the princes' mother's dismay. As punishment for falling in love with peasantry, the prince's mother has a sorcerer cast a spell on the peasant girl, which is enforced by a necklace she wears around her neck. It cannot be removed by anyone for a thousand years, and if she is to become human again after that period of time, she must find true love at the end of it. Her story eventually becomes a legend which no one really believes, except for the great-great-great-(and a lot of other greats) grandson of the sorcerer, who just happens to look just like his great-great-great- (and so on) grandfather. The now "Enchanted Peasant Girl," who now closely resembles a mannequin, is the center of a show for foreign fashions at Prince & Co. (fans of the original MANNEQUIN will recognize this store); a store at which a young man, who just happens to look exactly like the prince the peasant girl fell in love with a thousand years ago, is a trainee. Hence the story. It is really hard to articulate the plot without making it seem ridiculous. But that is what it is supposed to be...ridiculous. No one would go to see a structured, intelligent, epic love story about a man who was a prince in a past life and a woman who has been on ice for the last ten centuries. Where would be the fun in that?
This movie is a formulaic, run-of-the-mill, and probably studio- controlled movie that the studio believes the people want to see. Since the story is about two people who have already fallen in love, the audience doesn't get the same feeling as the first movie, where the two are in the process (really) of falling in love. The first also provided for more funny scenes, because Jonathan Switcher (Andrew McCarthy) was the only one who could see Emmy (Kim Catrall) alive. Everyone else saw her as a mannequin. In this movie, the mannequin is played by Kristy Swanson, and she alternates between humanness and mannequinness (due to the necklace she wears, whether it is on or off). In the first movie, Switcher is an unappreciated artist who finally gets a break at Prince & Co. by getting a great job and a beautiful woman. I got no sense of anything like that in this movie. I got the feeling that this movie is just "there" for anybody that wants it.
Maybe it was just me, but Kristy Swanson didn't really come across as a woman who was transplanted from the Tenth Century into the Twentieth. Maybe, because of pathological Hollywood stereotyping, I was hoping for or expecting some kind of accent (after all, she did come from a foreign land). Swanson is not at all hard to look at (she's very attractive, in my humble opinion), but she did not convince me very well that she was a foreigner in a different time and place. I don't know if she is a good actress or not; I've only seen her in FERRIS BUELLER'S DAY OFF, as Simone (correct spelling?), the girl who told that history teacher what she heard about Ferris Bueller ("My best friends' sisters' boyfriends' brothers' girlfriend heard from this guy who knows this kid who's going with a girl who saw Ferris pass out at 31 Flavors last night. I guess it's pretty serious."). William Ragsdale was, on the whole, average.
Meshach Taylor, however, was great. Taylor plays the character of "Hollywood" in both films. I loved him in the first one, and in this one, he's toned down a little bit, but he is still as funny as ever. I heard somewhere that the gay community did not like the character of "Hollywood" at all from the first film, and I think maybe that's why he is toned down in this one, but otherwise he is hilarious. I think he makes the entire movie. He gets to play another character briefly in this one (I won't say who). I think this is good; it shows that Meshach Taylor doesn't just play "Hollywood."
This movie has a different director, casting agency, and three new writers (Edward Rugoff is the fourth, and the only original writer returning). I have always been cautious about movies with four writers (if one or two couldn't get it together, why should three or four); movies of the type I mean are movies like SEE NO EVIL, HEAR NO EVIL and TWINS, both of which had four writers. They weren't exactly bad movies, but they weren't that great either. In my experience, movies with two writers have always fared better than others, but that may just be coincidental. I am especially cautious of movies with overhauled film crews (like this one). The sequels that have done as well or better than their predecessors have usually been the ones that bring back the crew that made the first one successful. When a whole new crew makes a sequel to a successful movie, I start hearing the cries of blasphemy from the down-trodden fans of the original. Don't get me wrong, these "blasphemers" occasionally do a good job, but it nevertheless makes fans cautious. In this movie, only a skeleton of the original crew is present. But as I am writing this review on the day it premieres nationwide, I may be forced to eat my words--who knows.
If I were paranoid, I would say that this movie is insulting to my very intelligence. But since I'm not, I'll say that this movie is just something you can go see without having to really think about anything. It's not that great compared to the first one, but it is not that bad either. It's sort of a "fuzzy carbon copy" of the first one.  I thought he was hilarious in the first movie, and even though he doesn't have as many funny lines in this one, it's worth seeing just for him. And if you liked Kristy Swanson from the very small role she played in FERRIS BUELLER'S DAY OFF, I'm sure you will not be disappointed by the way she looks in this one.
THE SNAPMAN<EMAIL_ADDRESS>(Roger Rubio)
.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
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Related links: index of all rec.arts.movies.reviews reviews


All Packages Class Hierarchy This Package Previous Next Index
java.lang.Object | +----javax.servlet.GenericServlet | +----javax.servlet.http.HttpServlet
GenericServlet
base class and provides an framework
for handling the HTTP protocol. Because it is an abstract class,
servlet writers must subclass it and override at least one method.
The methods normally overridden are:
doGet
, if HTTP GET requests are supported.
Overriding the doGet
method automatically also
provides support for the HEAD and conditional GET operations.
Where practical, the getLastModified
method should
also be overridden, to facilitate caching the HTTP response
data. This improves performance by enabling smarter
conditional GET support.
doPost
, if HTTP POST requests are supported.
doPut
, if HTTP PUT requests are supported.
doDelete
, if HTTP DELETE requests are supported.
init
and
destroy
, if the servlet writer needs to manage
resources that are held for the lifetime of the servlet.
Servlets that do not manage resources do not need to specialize
these methods.
getServletInfo
, to provide descriptive
information through a service's administrative interfaces.
Notice that the service
method is not typically
overridden. The service
method, as provided, supports
standard HTTP requests by dispatching them to appropriate methods,
such as the methods listed above that have the prefix "do". In
addition, the service method also supports the HTTP 1.1 protocol's
TRACE and OPTIONS methods by dispatching to the doTrace
and doOptions
methods. The doTrace
and
doOptions
methods are not typically overridden.
Servlets typically run inside multi-threaded servers; servlets must be written to handle multiple service requests simultaneously. It is the servlet writer's responsibility to synchronize access to any shared resources. Such resources include in-memory data such as instance or class variables of the servlet, as well as external components such as files, database and network connections. Information on multithreaded programming in Java can be found in the Java Tutorial on Multithreaded Programming.
Servlet.service
method, which accepts HTTP specific
parameters.
Servlet.service
method by
delegating to the HTTP-specific service method.
public HttpServlet()
protected void doGet(HttpServletRequest req, HttpServletResponse resp) throws ServletException, IOException
When overriding this method, servlet writers should set the headers for the requested entity (including content type, length, and encoding) then write that entity's data using the servlet output stream from the response. Response headers must be written before the response data because the headers can be flushed at any time after the data starts to be written.
Setting content length allows the servlet to take advantage of HTTP "connection keep alive". If content length can not be set in advance, the performance penalties associated with not using keep alives will sometimes be avoided if the response entity fits in an internal buffer.
Entity data written for a HEAD request is ignored. Servlet writers can, as a simple performance optimization, omit writing response data for HEAD methods. If no response data is to be written, then the content length field must be set explicitly.
The GET operation is expected to be safe: without any side effects for which users might be held responsible. For example, most form queries have no side effects. Requests intended to change stored data should use some other HTTP method. (There have been cases of significant security breaches reported because web-based applications used GET inappropriately.)
The GET operation is also expected to be idempotent: it can safely be repeated. This is not quite the same as being safe, but in some common examples the requirements have the same result. For example, repeating queries is both safe and idempotent (unless payment is required!), but buying something or modifying data is neither safe nor idempotent.
protected long getLastModified(HttpServletRequest req)
Implementations supporting the GET request should override this method to provide an accurate object modification time. This makes browser and proxy caches work more effectively, reducing the load on server and network resources.
protected void doPost(HttpServletRequest req, HttpServletResponse resp) throws ServletException, IOException
If HTTP/1.1 chunked encoding is used (that is, if the transfer-encoding header is present), then the content-length header should not be set. For HTTP/1.1 communications that do not use chunked encoding and HTTP 1.0 communications, setting content length allows the servlet to take advantage of HTTP "connection keep alive". For just such communications, if content length can not be set, the performance penalties associated with not using keep alives will sometimes be avoided if the response entity fits in an internal buffer.
This method does not need to be either "safe" or "idempotent". Operations requested through POST can have side effects for which the user can be held accountable. Specific examples including updating stored data or buying things online.
protected void doPut(HttpServletRequest req, HttpServletResponse resp) throws ServletException, IOException
Servlet writers who override this method must respect any Content-* headers sent with the request. (These headers include content-length, content-type, content-transfer-encoding, content-encoding, content-base, content-language, content-location, content-MD5, and content-range.) If the subclass cannot honor a content header, then it must issue an error response (501) and discard the request. For more information, see the HTTP 1.1 RFC.
This method does not need to be either "safe" or "idempotent". Operations requested through PUT can have side effects for which the user can be held accountable. Although not required, servlet writers who override this method may wish to save a copy of the affected URI in temporary storage.
protected void doDelete(HttpServletRequest req, HttpServletResponse resp) throws ServletException, IOException
This method does not need to be either "safe" or "idempotent". Operations requested through DELETE can have side-effects for which users may be held accountable. Although not required, servlet writers who subclass this method may wish to save a copy of the affected URI in temporary storage.
protected void doOptions(HttpServletRequest req, HttpServletResponse resp) throws ServletException, IOException
doGet
method, then
this method will return the following header: Allow: GET,HEAD,TRACE,OPTIONS
This method does not need to be overridden unless the servlet implements new methods, beyond those supported by the HTTP/1.1 protocol.
protected void doTrace(HttpServletRequest req, HttpServletResponse resp) throws ServletException, IOException
protected void service(HttpServletRequest req, HttpServletResponse resp) throws ServletException, IOException
Servlet.service
method, which accepts HTTP specific
parameters. This method is rarely overridden. Standard HTTP
requests are supported by dispatching to Java methods
specialized to implement them.
public void service(ServletRequest req, ServletResponse res) throws ServletException, IOException
Servlet.service
method by
delegating to the HTTP-specific service method. This method is
not normally overriden.
All Packages Class Hierarchy This Package Previous Next Index


#if ( $errorMsg )
$errorMsg
#end
#if ( $alarm )
#* display a single alarm *#
Alarm Inspection: $alarm.identifier
#foreach ( $field in $fields )
| $field | $alarm.getValueViaSchema($field,"") |
#end
#elseif ( $alarms )
#* display all alarms *#
Alarms in UCA's Working Memory
Note that LTE does not keep alarms in UCA's Working Memory.
#foreach ( $alarm in $alarms )
| $alarm.identifier | $alarm.getValueViaSchema("AlarmID","???") on $alarm.getValueViaSchema("ManagedObjectInstance","(no topo)") |
#end
#else
Alarms Inspection
Alarm(s) not found
#end
#parse ( "footer.html" )


--- layout: default title: ReliefWeb River Select include_rw: true ---
Selector for type of river to show. Scrolls horizontally on small screens.
Sass file: modules/reliefweb_rivers/sass/_river-select.scss


WEATHER
Tipperary weather warning upgraded to Status Orange
by Justin KellyA Met Éireann weather warning has been upgraded to Status Orange for Tipperary and Waterford.
A Status Yellow rain warning had been issued on Tuesday for Wednesday and Thursday but the national forecaster has now decided to upgrade the level from both counties.
The Status Orange comes into effect at 3pm on Wednesday and will remain valid until 6pm on Thursday evening.
"Heavy rain during the period will cause spot flooding. Accumulations in excess of 50mm possible in some parts," Met Éireann has said.
Elsewhere, a Status Yellow rainfall warning has been issued for Kilkenny, Wexford and Cork. it is valid from 3pm on Wednesday until 6pm on Thursday. Spells of heavy rain and areas of spot flooding are also likely in those counties.
Extreme caution is advised on all roads in the affected counties.


How to draw an X in a tic-tac-toe square
This math will show the relationship between selected square and start/stop position required to draw lines in a square:
- The number of the square starts at 0 in the upper left
- The start position (x1,y1) and end position (x2,y2) are determined based on the number of the square


Google Assistant to be 'news host' on devices
WASHINGTON, DC, United States (AFP) — Google says its digital assistant will serve as a “news host” on its connected devices to deliver stories from a variety of its media partners.
The feature called Your News Update will be activated by asking the Google Assistant to read the news.
The artificial intelligence programme will deliver “a mix of short news stories chosen in that moment, based on your interests, location, user history and preferences, as well as the top news stories out there,” said Product Manager Liz Gannes in a blog post.
The assistant will offer stories from partners including CBS, Politico, Fox News and CNN, based on user preferences and other factors.
It can offer news, for example, about the user's favourite sports teams or specific local or business events.
“In between stories, the Google Assistant serves as your smart news host that introduces which publishers and updates are next,” Gannes said.
The feature is available in English in the United States, and will expand internationally next year, for people with compatable smartphones and connected speakers.
It is activated by saying, “Hey Google, play me the news.”
Amazon offers a similar “flash briefing” feature for its Alexa-powered devices


Since now in 2020 i have made over 100 contributions in my github.
I make and destroy apps that i dont like or even remake 'em.
If you liked my code , feel free to copy and change it to your own.
Just click the gray button above to enjoy my work so far.
The first app is a funny one.. I made Dad Joke Generator at first with React but i changed it and made it with ES6. Try it and i hope you like it and laugh.
Next one is a Job Listing App made with React this time! Made a job filter in a search bar which filters all jobs by tag or by name. Ifound it pretty cool to be fair. Check it out!
This is one my favourite projects made with React again. Its an app that you play rock paper scissors with a bot. If you win please tell me how cause i can't.
This section is dedicated to some of my projects just for practice purposes.


XOR-Crypt is a simple XOR string encryption library.
Enter text here, click "XOR-Crypt", and see it encrypt. Click again, and see it translate back.
XOR-Crypt


Understanding Neuroplasticity and how it benefits other people and my own learning.
Understanding that neuroplasticity allows connections between neurons in our brain,
benefit people in ways that if we were to repeatedly practice an activity or access
a memory, the neurons would group and fire together, creating electrochemical
pathways that shape themselves according to that activity or memory.
Ways to use the principles of neuroplasticity for my own learning experience is to
practice and go over tasks as said above. This will help build and strengthen the
connections between the neurons in my brain. Actively recalling the memory of
something will make it easier to recall the memory each time when thought of.
Here are some ways to increase ones Neuroplasticity:
- Getting enough sleep. Your brain need sleep in order to reset connections that are important for memory and learning.
- Continuing learning and keep moving
- Reducing stress in your life
- Finding a strong purpose for what you’re planning to learn
- Taking time to read a novel or book
What and why is Growth mindset relevant
Growth mind-set is recognising your abilities can be developed and engaging them deeply. These students process the error, learn from it and correct it. Without a growth mind-set students have a fixed mind-set, which means they run from their errors instead of embracing an engaging with them. They will take other paths like cheating or finding someone with a lower ability than you and compare themselves to make themselves feel better. This is relevant because if you are wanting to develop growth, you need to have a growth mind-set, so instead of praising intelligence or talent , we should praise the process that people engage in.
Did anything surprise me?
Through this exploration I think having Carol Dweck explain that praising one’s intelligence and talent can make you fail in the long run really didn’t surprise me. I think personally praising ones intelligence can deteriorate another’s confidence and cause them to find other solutions as said above.
How will I integrate growth mindset into my learning journey?
I think having a positive mind-set and being able to identify your mistakes will help you learn from them and adapt. Learning from experience is the best way to start growth mind-set, because without understanding where your errors are you cannot grow.
Reflecting
Learning and understanding these principles will play a major part in shaping my learning plan. I think these concepts will help influence my handling of my work load, more specifically me getting trapped in rabit holes. I think knonwing that I tend to get stuck in rabit holes, will help me learn from past mistakes and move on.


◆ isempty()
◆ length()
| A = get_butterfly(levels) |
◆ actual_layers
| end elseif c = cat(levels+1,c{levels:-1:1}) |
◆ diff
| diff = find(node_vec~=neigh_vec) |
◆ function
| end end connect existing layers for l |
◆ level
◆ links
◆ neigh
◆ new_level_num
| new_level_num = 2*num_in_level |
◆ nodes
◆ time
for neigh
Definition: butterfly.m:21
new_level_num
Definition: butterfly.m:37
neighs
Definition: xpander_heuristic.m:19
for n
Definition: butterfly.m:70
end A
Definition: butterfly.m:6
for time
Definition: butterfly.m:41
end end end add stright i
Definition: butterfly.m:54
for node
Definition: k_extension.m:145
end end connect existing layers for l
Definition: butterfly.m:67
c
Definition: butterfly.m:11
B
Definition: butterfly.m:36
for level
Definition: butterfly.m:18


Dairy giant Milk & More has started dropping 330ml bottles of low-alcohol lager, pale ale and brown ale with the morning milk.
It is part of a drive to woo back families to traditional deliveries after years of declining sales.
Almost all households had milk delivered to their door up until the 1970s.
A supermarket price war and cheaper plastic bottles saw sales plummet.
But now thousands are switching back to glass amid a backlash against plastic.
The number of doorstep drops has jumped from 800,000 a day to a million in two years.
Milk & More, which uses electric carts to serve 500,000 homes, was relaunched by German giant Muller last year.
It has linked up with Ipswich-based brewer Big Drop, which offers doorstep beers at £1.99 per bottle.
It can be ordered online and delivered alongside dairy products – and even the Christmas turkey – before 7am.


If you are reading this, it is because your browser does not support the audio element.
GOOD MORNING, SOPHIA :)
SNOOZE


fun retrieveAllPosts(): Unit
All Posts are retrieved and shown to the user. UiMessage gets updated on Result and ond Error If the Room Database doesn't contain a post from the result, it is added here to the Database


Ghertist 3D Chatroom (Beta)
3D / VR Chatroom platform supporting audio chat
Live Ghertist Count:
What is Ghertist 3D Chatroom?
Free to use Browser based Experimental 3D / VR Chatroom platform supporting audio chat, Talk to others using voicechat in 3D enviroments running in browser or Mobile
- Powered by AFrame, Networked AFrame and A-Frame Enviroment component
- Chat with others using your microphone
- Make sure you have headphones on (otherwise it can create feedback for others)
- 2 3D Enviroments to explore - more in pipeline
- Move around with your avatar
Possible Future Features
- Moderation
- Chat Interface
- More advanced 3D Enviroments
Code Overview
Ghertist 3D Chatroom creator Chris Godber Talking about the code for this prototype voicechat HERE


--- layout: default date: 22/06/2019 ---
Covers races from 2nd May — 20th June.
Last updated: {{ page.date | date: "%A, %B %e" }}
{% include standings.html riders=site.data.2019.series_3.crit teams=site.data.2019.series_3.critteam %} {% include datetime.html %}


Haystack provides modular search for Django. It features a unified, familiar API that allows you to plug in different search backends (such as Solr, Whoosh, Xapian, etc.) without having to modify your code.
Note
This documentation represents the development version of Haystack. For old versions of the documentation: 1.0, 1.1.
If you’re new to Haystack, you may want to start with these documents to get you up and running:
Once you’ve got Haystack working, here are some of the more complex features you may want to include in your application.
If you’re an experienced user and are looking for a reference, you may be looking for API documentation and advanced usage as detailed in:
Finally, if you’re looking to help out with the development of Haystack, the following links should help guide you on running tests and creating additional backends:
Haystack has a relatively easily-met set of requirements.
Additionally, each backend has its own requirements. You should refer to Installing Search Engines for more details.


Arrays
Arrays are lists of things
They are the most important "collection type" in Ruby
They allow you to store many things in one variable
my_favourite_fruits = ["Banana", "Apple", "Water melon"]
monthly_expenses = [342.75, 108.20, 241.00, 632.15, 499.55]
fibonacci_numbers = [0, 1, 1, 2, 3, 5, 8, 13, 21, 34]
Note: Each element in the array has the same type
Note: Elements are in a defined order
Note: Arrays can have 0 up to however many entries you want
[item1, item2, ...]
[]
Try this in IRB!
my_favourite_fruits = ["Banana", "Apple", "Water melon"]
my_favourite_fruits.length
=> 3
[].length
=> 0
Try this in IRB!
my_favourite_fruits = ["Banana", "Apple", "Water melon"]
my_favourite_fruits[1]
=> "Apple"
array[index]
Note: Indices always start at 0, so the element with index 1 is the second element
Try this in IRB!
my_favourite_fruits = ["Banana", "Apple", "Water melon"]
my_favourite_fruits[3]
=> nil
nil
Try this in IRB!
my_favourite_fruits = ["Banana", "Apple", "Water melon"]
my_favourite_fruits.first
=> "Banana"
my_favourite_fruits.last
=> "Water melon"
.firstand
.lastare more convenient than
[0]and
[2]
Try this in IRB!
my_favourite_fruits << "Orange"
=> ["Banana", "Apple", "Water melon", "Orange"]
Note: We can use the "shovel operator" to add elements to the end of an array
Try this in IRB!
my_favourite_fruits[2] = "Mango"
my_favourite_fruits
=> ["Banana", "Apple", "Mango", "Orange"]
array[index] = new_item
Try this in IRB!
my_favourite_fruits.delete("Mango")
my_favourite_fruits
=> ["Banana", "Apple", "Orange"]
Try this in IRB!
my_favourite_fruits.delete_at(2)
my_favourite_fruits
=> ["Banana", "Apple"]
What questions do you have?


I used a simple deep network architecture, trained entirely on simulated data, to infer the 2D image coordinates of projected 3D bounding boxes, followed by perspective-n-point (PnP) for the segmentation of camera data. Its called DOPE – Deep Object Pose Estimation System.
Followed these Methodologies:
1.Created a 3D CAD models in solidworks in (.stl/.ply format).
2.Imported in the BLENDER to give color, material, unit scales etc to object and export as (.fbx) file.
3.Imported the blender file in UNREAL ENGINE (v4.22).
4.Created the Dataset by capturing using NDDS plugin.
5.Trained the custom created dataset in CNN by Deep learning.
6.Saved the weights of the training for further System Integration.
Creation of Custom objects using the Blender toolMake a 3D model in solidworks or CAD etc.,then import a 3D model in Blender (.stl .dae ...) and export it as a fbx file then import that fbx file into UE4, fbx file is work in UE4.
For more, __Download____[[Blender]]__
Blender Setup for Creating the 3D Model object:
STEP 1 - Download the NDDS Documentation, wget (NDDS) Documentation
STEP 2 - Installing & RUN the NDDS : Open the Unreal Editor with the Dataset_Synthesizer/Source/NDDS.uproject, a default level called TestCapturer will load as indicated at the top left hand corner of the 3D view port. This level has a sample scene with a basic simulation capture set up.
STEP 3 - Train the Created Custom model: Training code is also provided - train.py
Training and Testing for EvaluationThis network was implemented using PyTorch v0.4. The VGG-19 feature extractions were taken from publicly available trained weights in torchvision open models. The networks were trained for 60 epochs with a batchsize of 16 for this Demo object. Adam was used as the optimizer with learning rate set at 0.0001. The system was trained on an Dell Precision 7820 workstation (containing NVIDIA P4000 16GB GPU), and testing used same.
For more, Download the Dataset from https://research.nvidia.com/publication/2018-06_Falling-Things and train the objects by https://github.com/avinashsen707/AUBOi5-D435-ROS-DOPE/blob/master/dope/scripts/train.py to get respective weights.
Debugging Object Detection on Devset : Results :
Debugging Pose Estimation on Test Devset : Results :


From the Death Certificate
for Thomas Mendenhall:
Thomas Mendenhall
Death certificate #21964 was
issued in Guernsey County, Ohio.
Thomas Mendenhall, widowed, was born in Ohio, to John Mendenhall and Sarah
Scott from Pa. on Jan. 29, 1824. He
lived 90 years, 2 months, 26 days. The
informant was S. C. Van Kirk [his
daughter Sarah] of Salesville, Ohio.
Dr. W.A. White of Salesville testified that Thomas died in Salesville on
Apr. 24, 1914, of a cerebral hemorrhage, duration 1 day. He was buried in the Green Oak Cemetery on
4-27-1914. This is what appears on the COPY.
On a separate page with the word PASTE scrawled across the corner in one
inch letters is this:
Occupation - lived retired
for several years. He worked as a
Carpenter, Lumber dealer, Farmer in his active life.
The original one was marked
RETURNED since the occupation section was missing. Also on the original it had his mother as Mary Scott, but on the
COPY Mary was crossed out and changed to Sarah.
Provided by Betty Latta Kitchen
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