CAP 中文
CAP is a .Net Standard library to achieve eventually consistent in distributed architectures system like SOA,MicroService. It is lightweight,easy to use and efficiently.
OverView
CAP is a library that used in an ASP.NET Core project, Of Course you can ues it in ASP.NET Core with .NET Framework.
You can think of CAP as an EventBus because it has all the features of EventBus, and CAP provides a easier way to handle the publishing and subscribing than EventBus.
CAP has the function of Message Persistence, and it makes messages reliability when your service is restarted or down. CAP provides a Publish Service based on Microsoft DI that integrates seamlessly with your business services and supports strong consistency transactions.
This is a diagram of the CAP working in the ASP.NET Core MicroService architecture:
The solid line in the figure represents the user code, and the dotted line represents the internal implementation of the CAP.
Getting Started
NuGet
You can run the following command to install the CAP in your project.
PM> Install-Package DotNetCore.CAP
If your Message Queue is using Kafka, you can：
PM> Install-Package DotNetCore.CAP.Kafka
If your Message Queue is using RabbitMQ, you can：
PM> Install-Package DotNetCore.CAP.RabbitMQ
CAP provides EntityFramework as default database store extension (The MySQL version is under development)：
PM> Install-Package DotNetCore.CAP.SqlServer
Configuration
First,You need to config CAP in your Startup.cs：
public void ConfigureServices(IServiceCollection services)
{
......
services.AddDbContext<AppDbContext>();
services.AddCap(x =>
{
// If your SqlServer is using EF for data operations, you need to add the following configuration：
// Notice: You don't need to config x.UseSqlServer(""") again!
x.UseEntityFramework<AppDbContext>();
// If you are using Dapper,you need to add the config：
x.UseSqlServer("Your ConnectionStrings");
// If your Message Queue is using RabbitMQ you need to add the config：
x.UseRabbitMQ("localhost");
// If your Message Queue is using Kafka you need to add the config：
x.UseKafka("localhost");
});
}
public void Configure(IApplicationBuilder app)
{
.....
app.UseCap();
}
Publish
Inject ICapPublisher
in your Controller, then use the ICapPublisher
to send message
public class PublishController : Controller
{
private readonly ICapPublisher _publisher;
public PublishController(ICapPublisher publisher)
{
_publisher = publisher;
}
[Route("~/checkAccount")]
public async Task<IActionResult> PublishMessage()
{
// Specifies the message header and content to be sent
await _publisher.PublishAsync("xxx.services.account.check", new Person { Name = "Foo", Age = 11 });
return Ok();
}
[Route("~/checkAccountWithTrans")]
public async Task<IActionResult> PublishMessageWithTransaction([FromServices]AppDbContext dbContext)
{
using (var trans = dbContext.Database.BeginTransaction())
{
await _publisher.PublishAsync("xxx.services.account.check", new Person { Name = "Foo", Age = 11 });
trans.Commit();
}
return Ok();
}
}
Subscribe
Action Method
Add the Attribute [CapSubscribe()]
on Action to subscribe message:
public class PublishController : Controller
{
private readonly ICapPublisher _publisher;
public PublishController(ICapPublisher publisher)
{
_publisher = publisher;
}
[NoAction]
[CapSubscribe("xxx.services.account.check")]
public async Task CheckReceivedMessage(Person person)
{
Console.WriteLine(person.Name);
Console.WriteLine(person.Age);
return Task.CompletedTask;
}
}
Service Method
If your subscribe method is not in the Controller,then your subscribe class need to Inheritance ICapSubscribe
:
namespace xxx.Service
{
public interface ISubscriberService
{
public void CheckReceivedMessage(Person person);
}
public class SubscriberService: ISubscriberService, ICapSubscribe
{
[CapSubscribe("xxx.services.account.check")]
public void CheckReceivedMessage(Person person)
{
}
}
}
Then inject your ISubscriberService
class in Startup.cs
public void ConfigureServices(IServiceCollection services)
{
services.AddTransient<ISubscriberService,SubscriberService>();
}
Contribute
One of the easiest ways to contribute is to participate in discussions and discuss issues. You can also contribute by submitting pull requests with code changes.


Social Network Mining
Minerva is a tool for analyzing the connections observable on the Twitter social network. It allows you to study the connections between people, how the information gets passed around between users, how news and media get propagated throughout and infiltrate Twitter's "deep web" of private user circles.
Define our Bots' behaviours by creating policies to govern their behaviour. Prioritize certain tags, categories or users to have specified bots that focus on the content that interests you.
Our Bot's independently scour Twitter in search of meaningful content. They attempt to follow users of interest, reply to tweets and showcase human behaviour in order to gather data.
Analyze data recieved in real time through an extensive amount of graphs and tables that show the influx of Tweets, Bot Activity, Network Graph, amongst other statistics.
Our Bots implement a lot of high-level Machine Learning models and Artificial Intelligence algorithms to mimic Human Behaviour and have prooven to be able to pass the Turing Test. They're independent and constantly scour Twitter as a normal user would.
Our web-app showcases a clean and user-friendly design and features, without jeopardizing extensibility. Our interface is easy to navigate and offers high-level abstractions that allow anyone to query our network graph and visualize all data gathered.
Generate tweakable reports by querying our database utilizing our high-level abstraction interface. Specify the information you're looking for and receive a report in either CSV or JSON format for posteriour analysis.
Explore the hundereds of thousands of data our Bots have (and continue to) collect. Analyze a ludicrous amount of Twitter Users' informations, such as their profile info, tweets, replies, quotes, retweets, follower count, amongst others! Read up on the latest tweets added to our database or check what images and videos users are publishing.
Visualize and go through the network that results from all of our Bots' hard work. See the connections between users and other users or even with tweets, manipulate our physics-enabled network graph, focus and search for nodes or make more advanced queries to find the sub-network you want to see.
Define customizeable policies to fine-tweak our Bots' behaviours. Make them focus on certain types of content defined by tags or make them attempt to follow certain users. These can be assigned to each bot individually, created at will and even edited. Just assign them to a bot and sit back while our advanced Machine Learning Model trains our Bots.
Our backend was entirely written in Python3 due to it's extensible features and because it was the language most familiar to our development team. As for our REST API, which is used as a middle point between our Web App and our databases, we chose to make it in Django.
As our problem is one that fits in the paradigm of Big Data, we had to choose our DBMS' carefully. We opted to go with Neo4j to store our entities and the connections between them since, as a Graph Database, it fit the model pretty well. This DBMS, however, isn't very well optimized to treat loads of informaton, and as such we chose to store each of our entities' properties in a MongoDB database. It's imperative that these two systems are consistent between each other. PostgreSQL was used to store statistical data for further analysis and inclusion in graphs and finally Redis was used to implement a Caching system in order to decrease the load time of certain heavy-weight queries. An additional MongoDB database was also created further down the line to store our Machine Learning models, which are used to train and govern our Bots' policies.
Our product is made up of several services that communicate between each other. As such we had to make use of mechanisms that would allow for such interactions to take place. For most of our communications we utilized RabbitMQ, which permits the swapping of messages even if services are currently unavailable (although with the promise that the message will eventually reach it's destined service). We also used ZeroMQ for the communication between our Control Centre and Response Centre due to it's ease of usage and light-weightedness (and since ParlAI already possesses a server that integrates well with connections made using this tool).
In order to achieve a good performance in terms of mimicry of human behaviour, we had to implement several Artifial Intelligence paradigms to regulate the Bots' behaviour. As the project evolved so did our AI and ML algorithms and as such we had to utilize different tool, libraries and frameworks such as Keras ParlAI, NLTK and skLearn. For our Deep Learning algorithms we built a Convolutional Neural Network using Keras. This was done to treat the problem of Text Classification used by the Follow Centre service (which deals with the decision of following a given user in accordance to the Bots' policies). The model's training processes were then made faster by using the skLearn library which allows for the tunning of the model's parameters in order to implement Parallel Computing, hence taking advanced of the Multi-Core processors present in our servers. Other AI algorithms were used in order to allow our Bots to generate human-like responses to tweets. These problems, related to natural-language interpretation, were solved, first using ELIZA style AI. This, however, prooved to generate repetitive responses, and as such we turned to Facebook's Open Source tool - ParlAI. This, mixed in with a Poly-Encoder that we re-trained using our own tweets dataset, managed to improve our Bots' response quality by a visible margin.
Minerva's web app was built using React JS and consists on a very user-friendly and clean dashboard that allows for the easy visualization of our gathered data in graphs, tables and exportable reports, alongside the ability to define and control our Bot's policies. For our graphs we utilized the ReChart library and for our Network Graph we used React Vis.
Our Bots are intelligent and capable of mimicking human behaviour. So intelligent, in fact, that they've even, inadvertadly, passed the Turing Test. They're capable of replying to real users' tweets by creating retweets and participating in threads of conversation, which leads to direct interaction with actual human beings. They're behaviour is governed by three microservices which are vital to our project. Each of these places a unique piece in the complex puzzle that are our bots AI.
In our project, we had to make sure that the bots themselves didn't have too much logic in them and were as light-weight as possible. As such, they won't connect to our databases or make decisions on their own. Instead they will contact our Control Centre; this is the entity that will serve as the middle man between the databases and the decision making entities and our bots. It's very important that this module is ready to receive thousands of messages from various bots, and effectively wrap the data it received to save the data in our DBs and send the Decision Centres.
In order to imitate human behaviour to the furthest extent possible, we implemented a way to respond to interactions (i.e tweets) using a machine learning model. At first we started by using an old but widely popular response model based around ELIZA. However, the responses generated were very repetitive so we opted to go another route. We used the ParlAI Open Source tool with a pre-trained language interpreter and response generator and a Poly-encoder which we trained using tweets we gathered over time. All of these are submodules of our Response Centre service, which the Control Centre connects upon allowing a bot to respond to a tweet sending it the tweet and a set of policies that control the bots behaviour. This centre then responds with an appropriate message for the bot to respond with.
One of our Bots' main directives is to follow users. Due to the importance of this feature we decided it'd be best to implement a service capable of discriminating which users to follow in accordance to the policies that govern each Bots' behaviour. For each policy we train a Deep Learning Model using previously obtained tweets, which are constantly updated, that are marked with the tags that define said policy. When a decision to follow or ignore a user has to be made this module takes as inputs the description and most recent tweets of the targeted user (if they're not a private account). Besides descriminating profiles, this service is also capable of regulating actions related to the maintenance and consistency of data used in our models, detect changes made to our previously trained policies (so that they may be re-trained) and add/eliminate new models in accordance to the creation of deletion of policies. All messages interchange between this service and our Bots passes through the Control Centre so from a Bot's point of view they need only ask the Control Centre. This centre then sends the request to our Follows Center.
BOTS
USERS
TWEETS
RELATIONS
You can search for all of the users that are in our database by name or twitter tag and even filter to show protected accounts only! Whilst inside a user's profile you can access a plethora of information about them such as their tweets, retweets and quotes, number of followers, just to name a few. You can also access the people their following or that are getting followed by's profile!
Study a diverse set of statistics with easy to read and easy to use graphs. Get information on how our bots are doing by checking the growth of the cumulative or new activity, entities or relationships charts to see how our databases grows in real time!
Have fun messing around with our physics enabled network graph and get a feel for how users relate between each other and tweets. Create advanced queries with our easy to use tool that abstracts Neo4js Cypher language which allows for anyone, even the less tech-savy, to draw the subgraph they wish for!
Generate extensive CSV and JSON reports for further analysis. With our Report Generation tool you can query our databases and generate downloadable files that contain just the data you wish to study!
See each Bot's individual profile and check how their performance has been. View the Bot's followers, the users he's following, their tweets, their activity and directly control them by assigning them a new policy or posting a tweet using their account.
Control our bots' behaviour and have them specialize in finding information of certain types of content. Each bot can be assigned a different set of policies that either make them look for certain types of tweets or make them attempt to track down and follow certain users!
Start mining today!
Coordinator


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03 September 1996
Disease Outbreak Reported
A press release from the Ministry of Health on 3 September reported an additional 22 cases of meningitis and viral meningoencephalitis hospitalized in the communicable disease hospitals in Bucharest. Three more deaths were registered in patients aged between 64 and 74 years. The cumulated number of cases since the beginning of the outbreak is 303 with 17 deaths.


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Lorem Ipsum is simply dummy text of the printing and type setting industry. Lorem Ipsum has been the industry's standard dummy text ever since, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
Capitalize on low hanging fruit to identify a ballpark value added activity to beta test. Override the digital divide with additional clickthroughs from DevOps. Nanotechnology immersion along the information highway will close the loop on focusing solely on the bottom line.
Lorem Ipsum is simply dummy text of the printing and type setting industry. Lorem Ipsum has been the industry's standard dummy text ever since, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
You can apply to this job and others using your online resume. Click the link below to submit your online resume and email your application to this employer.
Submit Resume & Apply


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CLOUDY #f0f5f7
SNOW #ffffff
Headline Text (32px)
font: montserrat bold / color: #143548
B-Head (or Sub-Head) Text (20px)
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BELLY OF AN ARCHITECT, THE (director/writer: Peter Greenaway; cinematographer: Sacha Vierny; editor: John Wison; cast: Brian Dennehy (Stourley Kracklite), Chloe Webb (Louisa Kracklite), Lambert Wilson (Caspasian Speckler), Sergio Fantoni (Io Speckler), Vanni Corbellini (Frederico), Stefania Casini (Flavia Speckler), Stefano Gragnani (The Nose Man), 1987-UK)
Reviewed by Dennis Schwartz
A potbellied, 54-year-old noted architect from Chicago, Stourley Kracklite (Brian Dennehy), and his much younger wife, Louisa (Chloe Webb), come to Rome by train, where he makes his grand entrance by having sex with her as they arrive in Italy. He will be the director of an art exhibition that is being planned on the obscure 18th-century French architect Etienne-Louis Boullee.
The couple are feted with toasts and a sugar cake replica of one of Boullee's buildings by their hosts, the father of a family financing the exhibition -- and a brother and sister -- Flavia (Stefania Casini) and Caspasian (Lambert Wilson). Boullee has been the most influential architect in the life of Kracklite, and he has spent the last ten years preparing for this exhibition to honor him, while the Italians see this exhibit as a chance for them to gain world recognition and for that they need a prestigious American architect like Kracklite to sell the project to the art patrons.
During the course of his stay in Rome, Kracklite will be undergoing a series of psychological and physical mishaps. His stay will be for nine months, the time it takes for Louisa to give birth and for Kracklite to end his life, as he eventually finds out that he is dying from stomach cancer. At first, he will develop stomach problems and blame this on his wife, whom he thinks is trying to poison him. He will also become extremely jealous of the attention the serpentine, youthfully handsome, thin waist lined architect, Caspasian, is paying to his wife. He will eventually, after the couple is there for three months, push his wife into having an affair with Caspasian as he becomes impossible to live with, developing an obsession about his belly and his mortality. Caspasian will notice that she is pregnant before her husband does, a pregnancy which came about on the train coming into Rome. Her husband doesn't notice she is pregnant until she tells him, as he does not look at her stomach, being that he is so preoccupied with his.
Sacha Vierny, as cinematographer, supplies the film with striking visuals, every scene is beautiful to behold. The technicolors of favor for the film are the different shades of brown resembling the marvelous architecture in Rome and the pure shades of white, which tend to introduce the characters in their best light, before it becomes apparent that they are all obnoxious to a certain degree and not as pure as they first might have seemed.
Peter Greenaway (The Cook, the Thief, His Wife & Her Lover/The Pillow Book/Prospero's Books) made use in this film of many diverse metaphorical themes: while giving us a lesson about architecture and deriding how money from patrons is what drives the arts. He also tells about Isaac Newton's influence to the world, about Augustus and his wife Livia who poisoned him, Kracklite's stomach problems, and the artist as an egotist. The hero of the story is in the middle of a mid-life crises, where it seems everything is rapidly going down the tubes for him. His feelings are wounded, his sufferings are gargantuan, and he is about to lose his wife and control of the exhibit to his architect rival Caspasian, and eventually he will tragically lose his life. He resembles Boullee, in that they are both known for producing few works and not finishing what they start, and that they were both hypochondriacs.
This film like all Greenaway productions, is a splendid visual film to behold. Brian Dennehy comes up with a big performance, towering over others even in his downfall. The most emotional scene, has him looking through a keyhole and watching his wife screw Caspasian. The film might not add up to much in weight, but the sum of its parts were like an apple hitting Newton on his noggin. It had one mesmorizing visual scene after another, and gave one enough fodder to think about all the spiritual and corporeal themes it just spread before your eyes without going further into them. Greenaway, as always, is an acquired taste.
REVIEWED ON 5/28/2000 GRADE: B
Dennis Schwartz: "Ozus' World Movie Reviews"
http://www.sover.net/~ozus
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#100 _eral
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humeral
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lateral
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Deletes all logs for a workflow run. You must authenticate using an access
token with the repo
scope to use this endpoint. GitHub Apps must
have the actions:write
permission to use this endpoint.
DELETE /repos/:owner/:repo/actions/runs/:run_id/logs
Status: 204 No Content


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Sorry for the late reply. Anyways this is how it works normally.
originbf3launch.png
Or you can just use the old desktop shortcut method. But using these ways the game will launch in singleplayer mode.
So if you want to launch it in multiplayer mode you have to modify some Battlelog values. This is how I do it.
blogbf3launch.png
I open the Chrome Dev Console (F12) and then I edit this:
launcher.userSettings[2]["commandLine"][1]
These are the default command lines:
-webMode MP -Origin_NoAppFocus -onlineEnvironment prod
Then I just another command lines and it works.
List of command lines that I know and should work:
-alwaysOnTop
-lowPriority
-noBorder
-noResize
-noTaskbar
There are definitely others but they either don't work or I don't how they work.


Make a Reservation
Reserve your spot and beat the line! Choose a time below to request a reservation for the day.
If you want to reserve a future date or for groups larger than 10, you can email us directly at
<EMAIL_ADDRESS>You may also contact us toll-free
Monday - Friday, 10:00am to 10:00pm (Central Standard Time) at:
(818) 663-1970<PHONE_NUMBER>


{% extends 'base.html' %} {% load static %} {% load crispy_forms_tags %} {% block title %}Enter new password{% endblock %} {% block login %}
The password reset link was invalid, possibly because it has already been used. Please request a new password reset.


Specification of Robots |
|
The use of an external specification language allows the modeling of scenes without any modifications or extensions of the source code of the simulator. Thus the modeling process becomes simpler and people without programming skills are also enabled to use the simulator.
Together with researchers from the Fraunhofer Institute for Autonomous Intelligent Systems, the specification language RoSiML (Robot Simulation Markup Language) has been developed. It is a part of a joint effort to establish common interfaces for robot simulations. The aim is to exchange components between different simulators and to allow the migration of robot models among simulators without any complicated adaption's.
The language by itself has been specified in XML Schema. This is a popular choice, since XML is supported by a variety of editors and there also exist many ready-to-use parsers. The cascaded structure of XML documents is also quite suitable to reflect the structure of scenes inside the simulator, as it uses the scene graph approach from computer graphics to organize and process all elements.


-
Trump becomes president of USA
-
Ontario Liberals waste more money
-
Kevin O'Leary nominates himself for Conservative Party leadership
-
Horrific mass shooting in Montreal mosque
-
Britain votes to leave European Union
-
Trump puts a travel ban on 7 countries
-
US Attorney's office blocks US travel ban
-
Trump administration suggests "alternative facts"?
-
US President Trump still has many ties to company
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Trump administration passes vote to build fence between US and Mexico
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Trump refers to himself more than anything in Black History month speech
-
Trump administration removes LGBT section in Whitehouse website


Early-stage companies need to share their ideas with a variety of people -- potential partners,customers, and advisors. The TSE will promote sharing ideas while preserving intellectual property.
On Intellectual Property:
- Non-disclosure agreements are required to attend pitch parties
- Research-based work must go through the university first
- Your idea is yours alone: TSE cannot and would not take any cut (that's for the investors to do)
On Criticism:
- No idea is a bad idea, but nothing is perfect
- Comments may be critical, but must be constructive
- Criticism should come early and often
- Critique the idea, not the person
On Responsibility:
- Your company, your responsibility: TSE is a tool to help you, not a member of your startup
- Never drink the kool-aid: always be your own harshest critic
- Own your failures, learn from them, and make them your strenths


African King Buys 19 Rolls-Royce, 120 BMWs for His Wives and Kids
by Elena GorganWho doesn’t want to treat their significant other to a lavish expense? King Mswati III from Eswatini (formerly Swaziland) is just like every other man and woman out there, looking to spoil his loved one with a nice car.
The problem is that Mswati has 15 loved ones, 23 kids, and an overall very large family. Another problem is that, though he is one of the wealthiest monarchs in the world, with an estimated fortune of $213 million, the people he’s ruling over barely make $128 a month. You can see where this is going, surely.
No wonder, then, that the monarch tried to bring a new fleet of cars for his lady loves on the down-low. Just as unsurprising is the fact that photos of the trailer loaded with expensive rides made it on social media, causing uproar and even leading to cries of uproar.
Times Live reports that Mswati bought no less than 19 Rolls-Royce and about 120 “luxury” BMWs for himself, his wives and his other relatives. He tried to bring the cars into the country without much fanfare but, in a place like his, several trailers packed with luxury vehicles is not the kind of sight that can go unnoticed.
Opposition party People’s United Democratic Movement (Pudemo) is urging people to come out in the streets and protest until Mswati is removed from the helm. Wandile Dludlu, Secretary General of Pudemo, calls the king’s latest splurge a “middle finger” to his people who are dying of hunger.
“According to reports, some of these cars are for his motorcade and the exclusive use of his children. To say this is a blatant display of arrogance and total disregard of the poor people of Swaziland’s feelings by the monarch would be an understatement,” Dludlu says.
In addition to the $231 million in the bank, Mswati also owns at least 2 private jets (he got one as a 50th birthday present in 2018), and an impressive fleet of cars that includes a $625,000 Rolls Royce, a $500,000 Maybach 62, a BMW X6 and 20 Mercedes Benz S600 Pullman.


--- layout: index ---
I’m David Seddon and I make software.
I like simple application design and code written for people to read. I usually use Python and Django.
I work at Octopus Energy in London.


This section specifies the interaction between MPI calls and threads. The section lists minimal requirements for thread compliant MPI implementations and defines functions that can be used for initializing the thread environment. MPI may be implemented in environments where threads are not supported or perform poorly. Therefore, it is not required that all MPI implementations fulfill all the requirements specified in this section.
This section generally assumes a thread package similar to POSIX threads [11], but the syntax and semantics of thread calls are not specified here --- these are beyond the scope of this document.


About this Kata
This short and simple Kata should be performed
using Test Driven Development (TDD).
It is about implementing a simple tennis game. It is inspired by Wii tennis,
where they have simplified tennis, so each set is one game." );
Requirements for Java position
- 🎯 Use Java and Spring. a UI is not mandatory (the visual design of the UI is not important) and it can be tested via a command line application or API testing tool (like postman for instance).
✔ Java 1.8 Spring Boot 2 Swagger 2
- The proposal of this Swagger Interface (OpenAPI) did not replace a front-end but supports the developers as a reference. This Java project is made using Maven, so it is possible to run the application by running the command line, as below.
- $> ./mvnw spring-boot:run, ./mvnw test, etc
- 🎯 We expect to have a README.md that explains how to compile and run this code.
✔ README.md
- The README.md markdown can be reached in the root. It lists de dependencies and explains how to compile and run the project.
- 🎯 We expect an application that we can run and fulfil the requirements.
✔ Deployable.
- Local access http://localhost:8080/swagger-ui.html
- 🎯 We expect you to produce the best code you can possibly provide to us and, later on, that you are able to explain the choices you made. Of course, the final result matters but, please, take into account that we are not only evaluating your final code: we will evaluate your overall approach to solve the problem.
✔ Solution
- This solution was made based on the code https://github.com/follesoe/TennisKataJava, indicated as an example in the http://codingdojo.org/kata/Tennis/ at the end of the page. It was adapted for the Java position requirements described below.
✔ Resources
- This API respects the principles of REST: Client–server, Stateless, Cacheable, Uniform interface, Layered system, Code on demand.
- The key abstraction of information in REST for resources are defined by Board and Player. Those can be reached below by groups. Each resource group has descriptions that can be seen expanding by the Show/Hide link. It was named by \"REST Resource Naming Guide\" ref: https://restfulapi.net/resource-naming/.
- 🎯 So please commit all the steps you went through to reach the final solution. It will help us to understand your way of thinking.
-
✔ Steps by TDD approach
- This is just a sample of how to use TDD, Conventional Commits, organizing by Git branches.
The base TDD lifecycle is RED > GREEN > Refactoty, so we used this as scope os commit, like as, "feat(red): message", "feat(green)", "feat(refactory): message" and it also should be fix(scope) or BREAKING CHANGE(scope).
- 1. feature/1/scructure This is the first branch, for submiting the scructure only.
- 2. feature/2/services This is the 2 branch, for submiting services.
- 3. feature/3/end2end This is the 3 branch, for changes after end-to-end testing.
-
The commits:
- feat(red): adding maven libs folder
- feat(red): added http://localhost:8080/swagger-ui.html ref at Swagger page and README.md
- feat(red): format
- feat(red): cleanning
- feat(red): about TDD and the first branch at README and Swagger
- feat(green): fix about TDD and the first branch at README and Swagger
- feat(green): fix about Conventional Commits at README and Swagger
- feat(red): datasource at application.properties
- feat(red): score service unit tests
- feat(green): score service unit tests
- feat(red): player service unit tests
- feat(green): player service unit tests
- feat(refactory): player service unit tests
- feat(red): board service unit tests
- feat(green): board service unit tests
- feat(refactory): about board service and unit tests
- feat(refactory): player n board dtos
- feat(refactory): add player controller
- feat(refactory): add board controller
- feat(red): board and player controller end-to-end
- feat(refactory): board controller end-to-end
- feat(refactory): about board n player end-to-end
- 🎯 Please respect these few requirements.
✔ This is the list of requirements.
- All of the requirements can be seen here and checked at the repository.
- We expect you to spend up to a few hours on this but, of course, this is up to you.


Health ID :
| # | Registration Number | Admission Date | Ward | Bed Number | Unit | Status | Closed Date |
|---|---|---|---|---|---|---|---|
| Open |
| # | Registration Number | Start Date | Status | Closed Date |
|---|---|---|---|---|
| Open |


WWE Live will come to Arena Birmingham - here’s how to get tickets
The biggest brawl in the UK will take on Birmingham on Tuesday, 5 May 2020
by Scott Dickinson, https://www.birminghammail.co.uk/authors/scott-dickinson/WWE is set to bring some of the (literally) biggest wrestling talent to Birmingham next year for a live spectacular.
WWE Live comes to Arena Birmingham on Tuesday, 5 May 2020 and promises a ring packed full of entertainment for the entire family.
Bursting with all the drama and energy of a rock concert, in a fun, lively and exciting environment, this show offers one of the most unique experiences to ever hit the stage.
As one of the longest standing companies in sport, WWE has proudly served some of the best wrestling action of all time.
Tickets for WWE Live go on sale Thursday, 14 November 2019 at 9am, and can be purchased from The Ticket Factory’s official bookings page here.
Branching into action figures, trading cards and home video, the prestigious brand has become one of the most familiar and reputable names in households across the world.
Now the media giant is set to hit the arenas, boasting huge spectacle and production value to draw in audiences of all walks of life.
Wrestling fans can also look forward to a host of extras when attending the event with premium tickets and packages.

With the premium fan package you can experience all the action in rows 3-5 around the ring.
Not to mention you can look forward to a range of exclusive goodies such as an authentic mini-title, commemorative 3D event ticket and hard stock poster when ordering your tickets as well.
Tickets for WWE Live go on sale Thursday, 14 November 2019 at 9am, and can be purchased from The Ticket Factory’s official bookings page here.


My Popper page
Here is a collection of my Popper encodings.
Popper is an inductive logic programming (ILP) system. For more about Popper, see github.com/logic-and-learning-lab/Popper and the paper Learning programs by learning from failures by Andrew Cropper and Rolf Morel.
My Popper encodings
Many of these encoding are ports from Metagol, Progol, the old Popper version, etc. Note that some of them might not be of general interest. My Popper page at Github: github.com/hakank/hakank/tree/master/popper.
Most programs are run like this:
$ popper3 popper.py --timeout 999999 problem_directory
The links below are to a directory which contains three files (all are needed to run Popper):
-
exs.pl
: File including the positive and negative examples of the predicate.
-
bk.pl
: File including the background knowledge (BK), i.e. the Prolog predicates that can be used.
-
bias.pl
: Includes the bias, such as
- maximum number of variables, body predicates, and clauses. This file includes some info about the problem.
- if predicate invention should be used (
enable_pi
)
- which predicates to use in the head and body
- type of the arguments of the predicates (not needed but might boost performance)
- direction (in/out) of the predicates (not needed but might boost performance)
f(A,B) :- last(A,C),cons(C,A,B).
adjacent_to_red
Program found in 0.25s:
target(A) :- edge(A,B),colour(B,C),red(C).
append
Program found in 18s:
target(A,B,C):- eq(B,C),empty(A).
target(A,B,C):- tail(C,D),target(D,B,A).
arch
Program found in 0.2s:
arch(A,B,C) :- supports(B,A),not_touches(B,C).
book2
Program found in 0.2s:
book(A,B,C,D) :- editor(A,D),author(A,B),title(A,C).
book3
Program found in 0.3s:
book(A,B):- list3(B,E,D,C),editor(A,C),title(A,D),author(A,E).
clpfd_test Testing SWI-Prolog's clpfd
package to find (global)
constraints given some examples. This program usees my SWI Prolog utils module
hakank_utils.pl
Program found in 0.7s:
target(A,B,C):- exactly(A,B,C).
constants1_b using "named constants"
Program found in 0.2s:
p(A,B) :- const(B),const1(A).
p(A,B) :- const2(A),const2(B).
p(A,B) :- const(B),const4(A).
cyclic
Program found in 0.9s:
cyclic(A) :- arc(A,B,C),path(A,C,B).
cyclic-pi (Testing `enable_pi` but another non-PI solution is found.)
Program found in 0.5s:
cyclic(A) :- arc(A,B,C),arc(A,C,B).
cyclic(A) :- arc(A,B,C),arc(A,D,B),arc(A,C,D).
droplast
Program found in 1.3s:
f(A,B) :- tail(A,B).
f(A,B) :- head(A,D),tail(A,E),f(E,C),cons(D,C,B).
even
Program found in 0.2s:
f(A) :- zero(A).
f(A) :- succ(B,A),succ(C,B),f(C).
evs
Program found in 2.8s:
evs(A) :- empty(A).
evs(A) :- head(A,B),even(B),tail(A,D),tail(D,E),head(D,C),odd(C),evs(E).
facebook_puzzle
Solving this puzzle:
1 + 4 = 5
2 + 5 = 12
3 + 6 = 21
5 + 8 = ??
Program found in 1.7s:
f(A,B,C):- mult(A,B,D),plus(A,D,C).
facebook_puzzle2
Solving this puzzle (alternative version):
1 + 4 = 5
2 + 5 = 12
3 + 6 = 21
5 + 8 = ??
Program found in 1.0s:
f(A,B,C,D,E,F):-plus(E,D,G),plus(C,G,F).
find_duplicates
Program found in 1.3s:
f(A,B) :- tail(A,C),head(A,B),element(C,B).
f(A,B) :- tail(A,C),f(C,B).
find_last
Program found in 0.2s:
find_last(A,B) :- my_head(A,B),my_tail(A,C),empty(C).
find_last(A,B) :- my_tail(A,C),find_last(C,B).
float_test Just a simple test of using floats
Program found in 0.2s:
target(A,B,C):- times(A,B,C).
grammar1
Program found in 13.0s:
s(A,B) :- np(D,B),np(A,C),vp(C,D).
graph_coloring
Program found in 0.25s:
target(A) :- edge(A,B),colour(B,C),colour(A,C)
graph_connectedness
Program found in 0.2s:
target(A) :- edge(A,B),colour(A,C),colour(B,C).
graph_reachability
Program found in 0.2s:
p(A,B) :- edge(A,B).
p(A,B) :- edge(A,C),p(C,B).
last
Program found in 7.8s:
last(A,B) :- head(B,A),not_empty(B).
last(A,B) :- tail(B,C),last(A,C).
leap_year
Program found in 1.5s:
leapyear(A) :- divisible(A,B),known_divider400(B).
leapyear(A) :- divisible(A,C),known_divider4(C),not_divisible(A,B),known_divider100(B).
length
Program found in 1.1s:
f(A,B) :- empty(A),zero(B).
f(A,B) :- tail(A,D),f(D,C),succ(C,B).
less_than
Program found in 1.3s:
target(A,B) :- succ(A,B).
target(A,B) :- succ(A,C),target(C,B).
member
Program found in 0.5s:
mem(A,B) :- head(B,A).
mem(A,B) :- tail(B,C),mem(A,C).
mutual_recursion
Program found in 1.6s:
even(A):- zero(A).
even(A):- s(A,B),s(B,C),even(C).
nextto
Program found in 0.3s:
nextto(A,B,C):- tail(C,D),head(C,A),head(D,B).
nextto(A,B,C):- tail(C,D),nextto(A,B,D).
nextto2
Program found in 0.3s:
nexttox(A,B,C):- diff1(D,E),nth1x(D,C,A),nth1x(E,C,B).
Alternative variant (using diff/3
instead of code1
):
Program found in 0.9s:
nexttox(A,B,C):- const1(D),diff(D,E,F),nth1x(F,C,A),nth1x(E,C,B).
nim
Program found in 0.3s:
won(A,B,C) :- move(B,C),divisible(C,D),num4(D),side(A).
predecessor
Program found in 0.2s:
target(A,B) :- succ(A,B).
primorial (Kind of OK)
Program found in 0.7s:
primorial(A):- const2(A).
primorial(A):- div3(A),div2(A).
relatedness Note: inv1
is an invented predicate
Program found in 4.0s:
target(A,B) :- inv1(B,C),inv1(A,C).
inv1(A,B) :- parent(A,B).
inv1(A,B) :- parent(C,A),inv1(C,B).
son
Program found in 0.2s:
target(A,B) :- father(B,C),brother(A,C).
strings1
Program found in 43.9s:
f(A,B):- copy1(B,A).
f(A,B):- copy1(A,C),f(B,C).
f(A,B):- skip1(A,C),f(B,C).
sum
Program found in 0.3s:
f(A,B) :- empty(A),zero(B).
f(A,B) :- cons(D,C,A),f(C,E),sum(D,E,B).
trains
Program found in 0.3s:
e(A) :- has_car(A,B),closed(B),short(B).
undirected_edge
Program found in 0.2s:
target(A,B) :- edge(B,A).
target(A,B) :- edge(A,B).
truthtable1
Program found in 0.5s:
f(A,B):-pand(C,A).
f(A,B):-pfalse(B).
truthtable2
Program found in 0.6s:
f(A,B,C):-ptrue(A).
f(A,B,C):-pnot(C),por(C,B).
number_puzzle1
Solving this puzzle:
2 3 10
7 2 63
6 5 66
8 4 96
9 7 ?
Program found in 1.1s:
f(A,B,C):- plus(B,A,D),mult(D,A,C).
pickover_puzzle1_cp
Puzzle from Pickover https://twitter.com/pickover/status/1504602497280786435:
What number should replaced the question mark?
3 9 8
44 32 75
8 4 7 2 7 ?
Program found in 2.1s:
f(A,B,C,D):- plus(B,A,E),mult(E,D,C).
boyles_law
Finding Boyle's law: PV = P*V
Since it's float variables, we use approximate variants of add,minus,mult,div.
Program found in 0.3s:
f(A,B,C):- approx_div(C,B,A).
equation
Solving this puzzle:
11x11=4
22x22=16
33x33=?
Program found in 12.0s (i.e. E = 36)
f(A,B,C,D,E):- plus(A,B,G),plus(D,C,F),mult(G,F,E).
equation2
Solving this puzzle:
11x11=4
22x22=16
33x33=?
But we disallow the found solution in `equation`
Program found in 3.5s (i.e. E = 64)
f(A,B,C,D,E):- const4(F),pow(F,A,E).
Back to my homepage
Created by Hakan Kjellerstrand (hakank@gmail.com)


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The call to method m1, inside of the println statement on line 20, prompts method
overriding to occur - between methods m1 on lines 2
and 15. However, for overriding to be successful, both methods must have
an identical method signature and return type (note: an exception to this is – it is acceptable for a
subclass method's return type, to be a subclass of it's base class method's
return type).
If the matching method and return signature requirement for overriding
to occur is not met, as in this example, a compilation error will result.
Note: Since the method at line 15 includes a return statement (at line 16), simply substituting a
void return type
in the place of it's int return type would, alone, still not be a sufficient enough modification to
enable this code to successfully compile.


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Video element rendering in chromium nwjs
Video rendering in chromium/nwjs:
There are three major components to Chromium’s video implementation:
- Pipeline
- Chromium’s implementation of a media playback engine
- Handles asynchronous operations like audio/video demuxing decoding, synchronization and resource fetching
- Pipeline works like a state machine to perform asynchronous initialization, pausing, seeking and playing.
- FFmpeg
- Open source library used for Demuxing(container format parsing) and audio/video decoding
- implements parallel frame-level decoding for many popular codecs.
- WebKit
- Implements the HTML and Javascript bindings ( to communicate with video element using javascript)
- Handles rendering the user agent controls (Creation of media player UI)
- Provides WebMediaPlayer interface for port-specific implementations of a media playback engine
###Pipeline:###
The pipeline is a pull-based media playback engine that abstracts each step of media playback into 6 different filters.
1. data source
2. demuxing
3. audio decoding
4. video decoding
5. audio rendering
6. video rendering
The pipeline manages the lifetime of the filters and exposes a simple thread-safe interface to clients. The filters are connected together to form a filter graph. All 6 filters are running in different thread to provide responsive media playback in browser. Caching of data is implemented at each filter level. Pipeline is completely pull-based and relies on the system clock (vsync) to drive playback. As the system clock requests additional data, the video renderer requests decoded video data from the video decoder, which requests encoded buffers from the demuxer, which reads from the data source, and so on.
State machine of pipeline:
Working of filters in pipeline
Caching of data is implemented at each filter level.
Pipeline and ffmpeg
Following are filters names and their respective implementation in chromium code.
- Data source BufferedDataSource
- A data source capable of loading URLs and buffering the data using an in-memory sliding window.
- This class ask network layer to fetch data.
- BufferedDataSource::intermediate_read_buffer_ variable stores data downloaded from network.
- Demuxing FFmpegDemuxer/FFmpegDemuxerStream/DemuxerStream
- Demuxer initialises ffmpeg using FFmpegGlue class.
- Demuxer use buffers downloaded by data source and attempt to recognize the container by looking at the first few bytes
- Demuxer determines number of streams , type of streams(audio/video) and check whether video/audio codec configuration supported
- Create audio/video ffmegDemuxerStream and put ffmpeg::AVStream in it.
- DemuxerStream and a list of Decoders and provides decoded output to Audio/VideoRendererImpl
- Audio Decoder FFmpegAudioDecoder
- FFmpegAudioDecoder is wrapper over audio actual decoders provided by ffmpeg.
- On the basis of audio codec information we determine using demuxer, FFmpegAudioDecoder initialise respective ffmpeg decoder.
- FFmpegAudioDecoder ask ffmpeg to decode frames present inside encoded ffmpegDemuxerStreams::AudioStreams.
- Decoded frames generated by FFmpegAudioDecoder are consumed by AudioRendererImpl.
- Video Decoder FFmpegVideoDecoder
- FFmpegVideoDecoder is wrapper over actual video decoders provided by ffmpeg.
- On the basis of video codec information we determine using demuxer, FFmpegVideoDecoder initialise respective ffmpeg decoder.
- FFmpegVideoDecoder ask ffmpeg to decode frames present inside encoded ffmpegDemuxerStreams::VideoStreams.
- FFmpegVideoDecoder allocates memory for decoded data.(CPU and GPU based on SW/HW decoder)
- Decoded frames(videoFrame) generated by FFmpegVideoDecoder are consumed by VideoRendererImpl.
- Audio Rendering AudioRendererImpl
- It is responsible for initialization of audio decoder.
- AudioRendererImpl talks to an AudioRendererAlgorithm that takes care of queueing audio data and stretching/shrinking audio data.
- It will provide decode audio frames to sound card. Video Rendering VideoRendererImpl
- It is responsible for initialization of video decoder.
- VideoRendererImpl creates its own thread for the sole purpose of timing frame presentation.
- It handles reading from the VideoFrameStream and stores the results in a queue of decoded frames and executing a callback to notify compositing/painting when a frame is ready for rendering.
- ready_outputs_ : variable stores decoded data
Other important classes:
- WebMediaPlayerImpl
- Runs in three thread:
- Media Thread
- Renderer Thread
- Compositor thread.
- The canonical implementation of blink::WebMediaPlayer that’s backed by Pipeline.
- Handles normal resource loading, Media Source, and Encrypted Media.
- Runs in three thread:
- FFmpegURLProtocol It maintain state of your seek and read position while interacting with network using bufferDataSource.
- DecoderBufferQueue Maintains a queue of DecoderBuffers in increasing timestamp order.
Chromium-ffmpeg implementation known facts:
- Wrappers written by chromium to make playback responsive are tightly couple with ffmpeg. (They are written considering ffmpeg as underlying media framework and they are not generic)
- FFmpeg works on buffers provided by networks(bufferDataSource)
- FFmpeg can be decomposed to run in threaded implementation for demuxing, decoding and rendering.
- Caching of data is implemented at each filter level.
- HTML Media Elements like audio, video and Web audio are depends on chromium-ffmpeg integration. This Media elements uses underlying playback engine (pipeline) and media framework (Ffmpeg).
- Ffmpeg supports almost all pixel format but Chromium pipeline supports only famous pixel formats.
References: - https://www.chromium.org/developers/design-documents/video


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--- layout: post title: "How material makes the recycled furniture design" date: 2019-02-18 17:45:13 background: '/img/posts/titleimg.jpg' author: 'Marius Valaitis' published: true ---
What I like most about my work is having the freedom to create. What I mean by that is not that I can create anything I want, but that I have the privilege to take the time, look at my surroundings & the material available and create something useful.
This post is to show what the materials I've found in basements, garages and scrap material of my own work allowed me to create.
I've been working on custom projects for years and during that time I've accumulated skills, knowledge and a lot of scrap material.
Unfortunately, the nature of these projects is that the look usually drives most of the material choices, which puts the material out of the spotlight.
Seemingly the most obvious application for such scrap wood is to play a little bit of Tetris on this plywood base.
Measuring, Planning, Gluing…Measuring, Planning, Gluing…
Now, add a little bit of love:
Making sure the leftover material is used is very satisfying, but nothing adds so much more to a piece of furniture than material with a history.
You won't find the exact same looking frames anymore - they all have been scared by time in their own different way, but that just makes them even more special.
I had a chance to get my hands on some of these windows that were removed during a restoration of an old museum in my hometown and I immediately had an idea on how to recycle them.
Since the windows came in pairs, I made these twin cabinets. Sadly, the original glass was damaged during the removal and had to be replaced with a new one.
This is another example of recycling old material into furniture and the history that it adds to it. Here, I've reclaimed old wood that has naturally aged into this light gray color.
Now for this one, I was looking closer to home.
I found some wooden floor and some door frames that were still usable.
The floor went into a desktop:
And the doorframes into the rest of the construction
Bellow is what came out of it. Somehow, the wood wasn't enough so I added a leather strip through the middle of the table to finish it off.
Starting with these pieces of furniture, I've founded "Mar-Furniture" - a company which will always be inspired by the locally available material.


#KFCProposal: 'We never imagined that our love story would have touched so many people'- SA's new favourite couple
Hector Mkansi and Nonhlanhla Soldaat, the couple who has captured the hearts of thousands of South Africans after a video of Mkansi proposing inside a KFC went viral, have expressed their gratitude to the kindness and warmth they have received.
The moment, which has been described by many as magical and beautiful, was shared on Twitter by user Kateka Malobola.
In the clip, Mkansi and Soldaat are about to dig into their KFC meals, but before that can happen, he gets down on one knee and pops the question.
Once the video made waves online on Thursday, KFC tweeted it, calling for the public to help find the couple and by Friday morning, online sleuths tracked them down.
"Thank you South Africa. Your kindness has truly warmed us. We would have never imagined that our love story would have touched so many of you," the couple said.
The couple also said that while they appreciated the support from everyone, they were, however, asking to be given a moment of privacy to "take it all in".
"We will definitely let you know about our plans around the wedding," they said in a joint statement shared by KFC.
The couple's special day looks set to be a memorable one as South African celebrities, corporates and citizens have pledged their services to the couple's impending #KFCWedding nuptials, News24 previously reported.
Some of the pledges included: Kulula Airlines, who have offered flights plus a holiday in Cape Town for five nights, DJ Black Coffee tweeted that he was willing to pay for the groom and groomsmen's suits from tailor Tshepo Mashego.
Entertainers have also offered their services for the big day.
Zakes Bantwini is just one of the many artists who offered to perform on the day, while DJ Fresh has offered to donate deejay sets.
And to allow DSTV viewers to witness Mkansi and Soldaat's special day, Mzansi Magic's Our Perfect Wedding hinted their interest by tweeting: "Mzansi deserves to see the wedding of the year".
The upcoming planned wedding will not be the couple's first, Sowetan reported.
The publication reported that Mkansi and Soldaat met in 2010 and officially got married in 2012.
They had a matrimonial service, but it wasn't what Mkansi had envisioned it to be. He was unemployed and could not give Soldaat the wedding and jewellery of her dreams, the publication also reported.
This then inspired Mkansi with the KFC proposal which was a surprise to his wife.
But with all the pledges so far, the lovebirds are set for the wedding fairytale South Africans believes they should have.
Compiled by Sesona Ngqakamba


I am a meat popsicle.
I enjoy stabbing myself in the eyes while using the following technologies:
You may contact me through smoke signal, carrier pigeon, and on Linkedin!


--- layout: data_model title: ICMPv6DestinationUnreachableType this_version: 1.2 ---
Destination unreachable error message; ICMP v6 type=1.
| Field Name | Type | Description |
|---|---|---|
| No_Route0..1 | boolean |
No route to destination (ICMP v6 code=0). |
| Comm_Prohibited0..1 | boolean |
Communication with destination administratively prohibited (ICMP v6 code=1). |
| Beyond_Scope0..1 | boolean |
Beyond scope of source address (ICMP v6 code =2). |
| Address_Unreachable0..1 | boolean |
Address is unreachable (ICMP v6 code=3). |
| Port_Unreachable0..1 | boolean |
Port is unreachable (ICMP v6 code=4). |
| Src_Addr_Failed_Policy0..1 | boolean |
Source address failed ingress/egress policy (ICMP v6 code=5). |
| Reject_Route0..1 | boolean |
Reject route to destination (ICMP v6 code=6). |


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open
Explore the central Platte Valley through aerial imagery from the 1970s by clicking, dragging and zooming into the map.
This mosaic of aerial imagery is one of 20 georeferenced and stitched image sets completed by the USFWS in 2014. The background blue is the modern Platte River.
Zoom in to see detail. Click on the popups to read stories.
open


{% extends "layout.html" %} {% block body %}
Researchers often look at the words used by the media to understand how a topic is covered. Using a visualization of words used in online news articles about a given topic, we want you to try to find different conversations within the topic based on the key words you see in the visualization.
{% if viz_type == "standard" or viz_type == "rollover" %} This visualization is called a word cloud. Here is one about reporting on climate change. Bigger and darker words are used more often; smaller and lighter words are used less often. As you can see, climate and global are the most used words. {% elif viz_type == "word2vec" %} This visualization is called the word space. Here is one about reporting on climate change. Bigger and darker words are used more often; smaller and lighter words are used less often. As you can see, climate and global are the most used words. The distance from the center tells you how many different ways a word is used. For instance, "warming" is furthest from the center becasue it is almost always used with the phrase "global warming". In contrast, "america" is very close to the middle because it is used in lots of different phrases. {% endif %}
{% if viz_type == "standard" %} When you hover over a word with your mouse, it turns blue to make it easier to read. {% elif viz_type == "rollover" %} When you hover over a word with your mouse, it turns blue to make it easier to read. Words that turn blue are all used in similar ways. This 'similarity' is based on an algorithmic analysis of how words are used together. {% elif viz_type == "word2vec" %} When you hover over a word with your mouse, it turns orange to make it easier to read. Words that turn orange, and that are within the light blue cone, are all used in similar ways. This 'similarity' is based on an algorithmic analysis of how all the words are used together. {% endif %}
{% if viz_type == "standard" %} You can try to identify different conversations by looking at words that go together. {% elif viz_type == "rollover" %} You can try to identify different conversations by looking at words that are related. {% elif viz_type == "word2vec" %} You can try to identify different conversations by looking at words that are related. {% endif %}
{% if viz_type == "standard" %} Starting with bigger words, we can see words like "clinton", "trump", and "obama"; that suggests a political conversation. A different conversation could be about alternative energy - indicated by "sustainable", "solar", and "renewable". This is the information we want you to identify and enter. {% elif viz_type == "rollover" %} For instance, if you rollover "trump", then "obama" and "clinton" turn blue; you might name this a political conversation. {% elif viz_type == "word2vec" %} For instance, if you rollover "trump", then "obama" and "clinton" turn orange; you might name this a political conversation. {% endif %}
{% if viz_type == "rollover" %} Rollover "sustainable" and you'll see "renewable" and "solar" turn blue; you might name this an alternative energy conversation. This is the information we want you to identify and enter. {% elif viz_type == "word2vec" %} Rollover "emissions" and you'll see "climate" and "china" turn orange; you might name this an emissions negotiation conversation. This is the information we want you to identify and enter. {% endif %}
You can interact directly with the visualization on the left to give it a test-run. {% if viz_type == "word2vec" %} Double-click to zoom in and out. {% endif %} When you're ready to begin the study, click the button below.


Preparation time
overnight
Cooking time
10 to 30 mins
Serves
Serves 12
This indulgent trifle would make an impressive Christmas dessert.
Heat the orange and lemon zest, ginger, cinnamon stick, cloves, vanilla vodka, cardamom pods, port, red wine and sugar over a low heat until hot, but not boiling. Strain the mixture through a sieve onto the softened gelatine in a large bowl and stir well.
Spoon the soft fruit into a large glass serving bowl and pour enough of the jelly mixture to fill it a third of the way up. Chill in the fridge overnight, or until they have completely set.
Mix half of the whipped cream with the custard and vanilla in a bowl until well combined and spoon this mixture onto the set jelly.
To serve, spoon the remaining whipped cream onto the trifle and scatter over the flaked almonds.
You need JavaScript to view this clip.
Zesting citrus fruit


Number is a data type in JavaScript which represents numeric data. Now let's try to add two numbers using JavaScript.
JavaScript uses the +
symbol as addition operation when placed between two numbers.
myVar = 5 + 10; // assigned 15
We can also subtract one number from another. JavaScript uses the -
symbol for subtraction.
myVar = 12 - 6; // assigned 6
We can also multiply one number by another. JavaScript uses the *
symbol for multiplication of two numbers.
myVar = 13 * 13; // assigned 169
We can also divide one number by another. JavaScript uses the /
symbol for division.
myVar = 16 / 2; // assigned 8
In JavaScript, you can also get the remainder (or modulo) of an integer division using the %
symbol.
myVar = 11 % 2; // assigned 1
Please, take the time to read the lesson, before you answer these questions.


Typedefs | |
| typedef float | AtMatrix[4][4] |
| 4-by-4 matrix | |
Functions | |
| AI_API void | AiM4Identity (AtMatrix mout) |
| Create an identity matrix. More... | |
| AI_API void | AiM4Translation (AtMatrix mout, const AtVector *t) |
| Create a translation matrix from a translation vector. More... | |
| AI_API void | AiM4RotationX (AtMatrix mout, float x) |
| Create a X-axis rotation matrix. More... | |
| AI_API void | AiM4RotationY (AtMatrix mout, float y) |
| Create a Y-axis rotation matrix. More... | |
| AI_API void | AiM4RotationZ (AtMatrix mout, float z) |
| Create a Z-axis rotation matrix. More... | |
| AI_API void | AiM4Scaling (AtMatrix mout, const AtVector *s) |
| Create a scaling matrix from a scaling vector. More... | |
| AI_API void | AiM4Frame (AtMatrix mout, const AtVector *o, const AtVector *u, const AtVector *v, const AtVector *w) |
| Create a matrix that transforms into a new coordinate frame. More... | |
| AI_API void | AiM4PointByMatrixMult (AtPoint *pout, const AtMatrix m, const AtPoint *pin) |
| Left-multiply a point by a matrix. More... | |
| AI_API void | AiM4HPointByMatrixMult (AtHPoint *pout, const AtMatrix m, const AtHPoint *pin) |
| Left-multiply a 4D point by a matrix. More... | |
| AI_API void | AiM4VectorByMatrixMult (AtVector *vout, const AtMatrix m, const AtVector *vin) |
| Left-multiply a vector by a matrix. More... | |
| AI_API void | AiM4VectorByMatrixTMult (AtVector *vout, const AtMatrix m, const AtVector *vin) |
| Right-multiply a vector by a matrix. More... | |
| AI_API void | AiM4Mult (AtMatrix mout, const AtMatrix ma, const AtMatrix mb) |
| Multiply two matrices. More... | |
| AI_API void | AiM4Copy (AtMatrix dest, const AtMatrix src) |
| Copy a matrix. More... | |
| AI_API void | AiM4Transpose (const AtMatrix min, AtMatrix mout) |
| Calculate the transpose of a matrix. More... | |
| AI_API void | AiM4Invert (const AtMatrix min, AtMatrix mout) |
| Calculate the inverse of a matrix. More... | |
| AI_API AI_PURE float | AiM4Determinant (const AtMatrix m) |
| Determinant of a matrix. More... | |
| AI_API void | AiM4Lerp (AtMatrix mout, float t, const AtMatrix ma, const AtMatrix mb) |
| Linear interpolation of two matrices. More... | |
| AI_API void | AiM4Berp (float bu, float bv, const AtMatrix m0, const AtMatrix m1, const AtMatrix m2, AtMatrix mout) |
| Perform barycentric interpolation on the three incoming matrices. More... | |
| AI_API AI_PURE bool | AiM4IsIdentity (const AtMatrix m) |
| Is this an identity matrix? More... | |
| AI_API AI_PURE bool | AiM4IsSingular (const AtMatrix m) |
| Is this a singular matrix? More... | |
Variables | |
| AI_API AtMatrix | AI_M4_IDENTITY |
| AI_API AtMatrix | AI_M4_ZERO |
| AI_API void AiM4Identity | ( | AtMatrix | mout | ) |
Create an identity matrix.
| [out] | mout | identity matrix result |
Create a translation matrix from a translation vector.
| [out] | mout | matrix result |
| t | translation vector |
| AI_API void AiM4RotationX | ( | AtMatrix | mout, |
| float | x | ||
| ) |
Create a X-axis rotation matrix.
| [out] | mout | matrix result |
| x | angle from the X axis (in degrees) |
| AI_API void AiM4RotationY | ( | AtMatrix | mout, |
| float | y | ||
| ) |
Create a Y-axis rotation matrix.
| [out] | mout | matrix result |
| y | angle from the Y axis (in degrees) |
| AI_API void AiM4RotationZ | ( | AtMatrix | mout, |
| float | z | ||
| ) |
Create a Z-axis rotation matrix.
| [out] | mout | matrix result |
| z | angle from the Z axis (in degrees) |
Create a scaling matrix from a scaling vector.
| [out] | mout | matrix result |
| s | scaling vector |
| AI_API void AiM4Frame | ( | AtMatrix | mout, |
| const AtVector * | o, | ||
| const AtVector * | u, | ||
| const AtVector * | v, | ||
| const AtVector * | w | ||
| ) |
Create a matrix that transforms into a new coordinate frame.
The new coordinate frame is formed from an origin and a set of orthonormal vectors {U,V,W}, all expressed in world coordinates.
| [out] | mout | matrix result |
| o | origin vector | |
| u | U basis vector | |
| v | V basis vector | |
| w | W basis vector |
Left-multiply a point by a matrix.
| [out] | pout | multiplied point pout = m pin |
| m | input matrix | |
| pin | input point |
Left-multiply a 4D point by a matrix.
| [out] | pout | multiplied 4D point, pout = m pin |
| m | input matrix | |
| pin | input 4D point |
Left-multiply a vector by a matrix.
Note that multiplying a vector by a matrix is different than multiplying a point by a matrix.
| [out] | vout | multiplied vector, vout = m vin |
| m | input matrix | |
| vin | input vector |
Right-multiply a vector by a matrix.
This is equivalent to left-multiply vector by transpose of a matrix: vout = (m^T) vin
| [out] | vout | multiplied vector, vout = vin m |
| m | input matrix | |
| vin | input vector |
Multiply two matrices.
| [out] | mout | multiplied matrix result, mout = ma mb |
| ma | input matrix | |
| mb | input matrix |
Copy a matrix.
| [out] | dest | destination matrix |
| src | source matrix |
Calculate the transpose of a matrix.
| min | input matrix | |
| [out] | mout | transpose matrix: mout = min^T |
Calculate the inverse of a matrix.
| min | input matrix to be inverted | |
| [out] | mout | inverted matrix: mout = min^-1 |
| AI_API AI_PURE float AiM4Determinant | ( | const AtMatrix | m | ) |
Determinant of a matrix.
| m | input matrix |
Linear interpolation of two matrices.
| [out] | mout | interpolated matrix: mout = (1-t)*ma + t*mb |
| t | interpolation parameter, in [0,1] | |
| ma | input matrix at t=0 | |
| mb | input matrix at t=1 |
| AI_API void AiM4Berp | ( | float | bu, |
| float | bv, | ||
| const AtMatrix | m0, | ||
| const AtMatrix | m1, | ||
| const AtMatrix | m2, | ||
| AtMatrix | mout | ||
| ) |
Perform barycentric interpolation on the three incoming matrices.
| bu | U barycentric coordinate | |
| bv | V barycentric coordinate | |
| m0 | matrix at barycentric coords (0,0) | |
| m1 | matrix at barycentric coords (1,0) | |
| m2 | matrix at barycentric coords (0,1) | |
| [out] | mout | interpolated matrix at (bu,bv) |
| AI_API AI_PURE bool AiM4IsIdentity | ( | const AtMatrix | m | ) |
Is this an identity matrix?
| m | input matrix |
| AI_API AI_PURE bool AiM4IsSingular | ( | const AtMatrix | m | ) |
Is this a singular matrix?
| m | input matrix |


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Expected behaviour: Several events should be appearing with their start/end times matching the assigned times
Included Tests
Manual validation:


How to pay a County Court Judgment (CCJ)
Contact the claimant and agree how to pay. For example by cheque or bank transfer. You can't pay the court.
Make sure you can prove you’ve paid. Get a receipt from the claimant if you pay by cheque or cash directly.
Use the claim number on all payments and keep a record of all payments
Allow up to 4 days for your payment to reach the claimant.
If you can't afford to pay
You can suggest your own repayment plan. This is known as 'vary an order'.


About
Hello! I am Jadon Brutcher, a current student at Rose-Hulman Institute of Technology, studying software engineering and data science. I am realy interested in data and the potential it has to change the world. I have done several projects on Machine Learning and Artificial Inteligence, and I hope that in my future career I can use data to help make decisions that will impact many people in a positive way. Besides my interest in data science, I also have experience developing software, with projects such as simulations, games, and graph-search algorithms. After Rose-Hulman, I hope to attend a graduate program for Data Science and Information Technology, as well as pursue degrees in Economics, Psychology, and Statistics.
Some more personal facts about me include: I own a cat named B, I like to play video games, listen to music, trade on the stock market, watch movies, and I'm really interested in blockchain and cryptocurrency technology. I was born and raised in Indiana, and right behind my house is a cornfield. My favorite color is orange, and some of my favorite foods include spaghetti, popcorn, and eggs benedict. My favorite TV show is Peaky Blinders, and my favorite movie(s) are The Lord of the Rings trilogy. On the portfolio page are some projects I've done, and the resume page has my current resume.


Transaction Model¶
-
class
transaction.transaction.
Transaction
[source]¶ A class for modeling accounting transactions.
-
class
date
¶ date(year, month, day) –> date object
-
ctime
()¶ Return ctime() style string.
-
fromordinal
()¶ int -> date corresponding to a proleptic Gregorian ordinal.
-
fromtimestamp
()¶ timestamp -> local date from a POSIX timestamp (like time.time()).
-
isocalendar
()¶ Return a 3-tuple containing ISO year, week number, and weekday.
-
isoformat
()¶ Return string in ISO 8601 format, YYYY-MM-DD.
-
isoweekday
()¶ Return the day of the week represented by the date. Monday == 1 … Sunday == 7
-
replace
()¶ Return date with new specified fields.
-
strftime
()¶ format -> strftime() style string.
-
timetuple
()¶ Return time tuple, compatible with time.localtime().
-
today
()¶ Current date or datetime: same as self.__class__.fromtimestamp(time.time()).
-
toordinal
()¶ Return proleptic Gregorian ordinal. January 1 of year 1 is day 1.
-
weekday
()¶ Return the day of the week represented by the date. Monday == 0 … Sunday == 6
-
-
class


Gosh, someone visited here already?!Please come back later and maybe there will be something soon. Maybe. No promises. — Snuggle
Tap here for social media stuff!Made with by Evie Snuggle, whose pronoun.is/she.


We're really excited that you're joining us in making a difference for our communities! We'll just need to collect a little information...


This book is from Bass Library at Yale University.
It was published in 1970.
It was illustrated by Donald Green.
Library of Congress catalog number = 74-118704.
This edition contains the original illustrations.
It contains a card left inside by a library visitor.
Its cover is just orange.
There are five main ways to navigate this site. One is to navigate back and forth through all the scans using the "Previous" link at the bottom of each scanned page and clicking on the pictures themselves to move forwards. Another is to use the home page by clicking on the title of each scan. They are listed by title, but organized by page number, and all link back to Home. Another is to use the thumbnails on the home page as shortcuts to the pages you're interested in. Alternatively, you oculd use the Table of Contents (which is a scanned page itself) to any pages in one of the chapters listed. Not all chapters have a corresponding page. All pages that are accessible through the Table of Contents have a hyperlink to it at the top. All pages are at most three links away the home page. Additionally, some pages include additional links to other pages based on content similarities. All links lead to a page with a return link to exact page from which it was accessed with one exeption. The fifth way is to do whatever you want.


@(version: String)(implicit request: Request[_], messages: Messages) @main_template(title = "Government Receipting Data", bodyClasses = None) {


Omben
a JavaScript card game by
Mandi Grant
Human player's name:
Computer player's name:
Player 1 Name
Deck
?
Player 2 Name


Interface ITimeEvent
This interface, defined in SMIL Animation: Supported interfaces, provides specific contextual information associated with Time events.
Inherited Members
Namespace: SharpVectors.Dom.Events
Assembly: SharpVectors.Core.dll
Syntax
public interface ITimeEvent : IEvent
Remarks
The different types of events that can occur are:
Properties
Detail
Specifies some detail information about the Event, depending on the type of the event. For this event type, indicates the repeat number for the animation.
Declaration
long Detail { get; }
Property Value
| Type | Description |
|---|---|
| Int64 |
View
The view attribute identifies the IAbstractView from which the event was generated.
Declaration
IAbstractView View { get; }
Property Value
| Type | Description |
|---|---|
| IAbstractView |
Methods
InitTimeEvent(String, IAbstractView, Int64)
This method is used to initialize the value of a ITimeEvent created through the IDocumentEvent interface. This method may only be called before the ITimeEvent has been dispatched via the dispatchEvent method, though it may be called multiple times during that phase if necessary. If called multiple times, the final invocation takes precedence.
Declaration
void InitTimeEvent(string typeArg, IAbstractView viewArg, long detailArg)
Parameters
| Type | Name | Description |
|---|---|---|
| String | typeArg | Specifies the event type. |
| IAbstractView | viewArg | Specifies the event's IAbstractView. |
| Int64 | detailArg | Specifies the event's detail. |


--- layout: post title: 'MoMo London: Ray From Bango' date: 2006-10-02 00:00:00 categories: business digital-media interfaces-&-interaction mobile ---
MoMo London: Ray Anderson From Bango
1. Promotion and advertising
There are lots of ways to promote mobile content: viral, shortcodes, bar codes, mobile ads, mobile search, TV, web sites, print, direct URL, etc. Traditional text promotion (2001-2005) worked despite complexity. 2005: simpler calls to action. Now onwards: the Internet model (not sure what that means), focusing on users familiar with mobile browsing (avoiding wastage, say); mobile ad models; routing around operators for approval etc. More purchasing of search terms (which Orange and Yahoo have apparently been collaborating on).
2. Discovery and response
Ray presents a slightly suspect "history of the URI" showing how we're familiar with typing in sky.com rather than http://blah:123/fred?wilma=freddy#1234
Similarly, technical challenges on the mobile web are starting to be overcome. Walled gardens are coming down. Sites getting better. Tariffs become more conducive.
On the educational side, things are moving slower.
He foresees a future where phones that don't work with popular sites (e.g. Myspace or Google I guess) are returned to vendors as broken.
Nokia.com doesn't work on a phone! These mobile companies don't walk the talk...
3. Spreading the goodness
What happens if users could share content with friends? a la early days of the web, with the coffee machine hooked up to the net, fish tanks, etc. Operators can't do this across operators, content providers can't do it across content providers.
WAP.com project: a bit like backflip, deli.cio.us, etc. Encourages sharing of "waplists": lists of links.


Popcorn Movie App
Now Playing
| Star Trek XX |
...
| The Avengers - Black Widow - |
...
| Jaws 3 1/2 |
...
| Cinda Mouse |
...
Please Enter your age:
age
Movie Showing Finder
Please select a movie below
Star Trek xx
The Avengers - Black Widow
Jaws 3 1/2
Cinda Mouse
star trek xx
11pm - 2pm
12pm - 3pm
2pm - 5pm
6pm - 9pm
11pm - 1pm
12pm - 2pm
2pm - 4pm
5pm - 8pm
11pm - 12:35pm
12pm - 1:35pm
2pm - 3:35pm
5pm - 6:35pm
11pm - 12:30pm
11pm - 12:30pm
2pm - 3:30pm
6pm - 7:30pm


--- layout: example categories: example/v1.0.0 version: v1.0.0 title: Timeline with scaled markers description: Use d3 to brush through a timeline of scaled markers with popups. tags: - vector ---


Title
Type
Role
Last Modified Date
Project Detailed View
*Funded Project?
Project Information
Title
Start Date
End Date
Description
Keyword(s)
Goal(s)
Objective(s)
Document Type
Website
Project Membership
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Action
Initiatives Associated with Project
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Owner
Initiative Detailed View
Initiative Information
Title
Category
Start Date
End Date
Description
Keyword(s)
Purpose
Document Type
Website
Initiative Membership
Name
Role
Action
Activities Associated with Initiative
Title
Description
Creation Date
Linked Initiative
Owner
Activity Detailed View
Activity Information
Title
Start Date
End Date
Keyword(s)
Description
Target Audience
Clasification
Website
Activity Course Mapping Information
Semester
Course Names
Activities Participant Information
ID
Name
Role
Action
Welcome to Accelerating, Connecting, and Evaluating Student Success (ACCESS)
Query
Type
Filters
Category
Classification
| Graduates |
Major Field
Department
Restrictions
Time to Degree
| Undergraduate to Graduate Advancement |


Psycho * * * 1/2 (out of * * * * )
Directed Gus Van Sant. Cast: Vince Vaughn, Anne Heche, Viggo Mortensen, Julianne Moore, William H. Macy, Chad Everett, Rance Howard, Robert Forster, Philip Baker Hall, Rita Wilson, James LeGros, Anne Haney. 1998 - 108 minutes.  Reviewed December 5, 1998.
By Dustin Putman
* Note: Contains spoilers.
Ever since a "recreation" of Alfred Hitchcock's infamous 1960 classic, "Psycho," was announced earlier this year, many fans of the original yelled blasphemy and were outraged that anyone would attempt a remake. But, of course, this wasn't just any remake, because acclaimed director Gus Van Sant firmly stated that the new version would rigidly follow the original's screenplay, although it would be set in 1998, and that his purpose was to freshly introduce a classic to a new generation. Up until its release, rumors flew by, questioning what the differences would be in this 1998 version. And in keeping with its predecessor, Van Sant didn't even screen it for critics in advance, just as Hitchcock didn't 38 years ago.
Ultimately, there is one question in all "Psycho" fans' minds: Is this film better than the original? The answer is no, not quite, but to my shock, it is just about as good of a remake as could have possibly been expected.
For a full synopsis of the storyline, my review for Psycho (1960) is recommended, but simply to recount the plot, a young banker by the name of Marion Crane (Anne Heche) steals $400,000 (it was $40,000 in the original) and while on the run, picks the wrong motel to spend the night in, headed by the boyish young man, Norman Bates (Vince Vaughn). "Psycho '98," which I will refer to this film as for the rest of my review to avoid confusion, surely does follow Joseph Stefano's original screenplay, and is a bold experiment on Van Sant's part. No film has ever been remade shot-by-shot, but, for the most part, "Psycho '98," is. And since the original was such a masterpiece, the things an audience must go on this time around are the elements surrounding the script, such as the technical credits, acting, style, etc. Luckily, "Psycho '98," is a startling success, a film that is impressive in almost every department.
Van Sant has assembled a great line of actors in this film, and although the tempting thing to do would have been to mimic the original actors, they all smartly choose to add their own interpretation and spin to the characters, and thus, we actually do grow different feeling for the people than in the 1960 version. Anthony Perkins has been such a staple of, "Psycho," that no one could ever replace him as Norman Bates, but Vince Vaughn must be applauded for going in a totally different direction with the character, and dare I say, nearly equalling Perkins. Vaughn's Norman has the ability to be threatening, but I also felt far more sympathy for him in this film. Anne Heche is also very good as Marion Crane, and although Janet Leigh might have been a little better, Heche was more likable. Julianne Moore, as Marion's sister, Lila, replaces Vera Miles and is interesting because she is so much more 90's. She is even introduced wearing a walkman. Viggo Mortensen, as Marion's boyfriend, taking over for John Gavin, also does a full 180 degree turn on the character, giving him a cowboy attitude. Rounding out the five central characters is William H. Macy, outstanding as Detective Arbogast, actually improving upon Martin Balsam's portrayal (although he was fabulous, as well).
There are lots of nice, eerie touches throughout that add to the film. For example, the shower scene, far more graphic this time around, is actually more suspenseful than in the original. The set-up wisely goes on longer, as we see the door open and a figure walk into the bathroom, as we see through the shower curtain. Unlike the original, where the murder happens abruptly, the figure pauses for a few moments through the shower curtain, before...well, you know. The actual murder set-piece also puts a new spin on things, and is harrowing, to say the least. The other murder sequence, set on the staircase, is also extremely effective. As Arbogast is stabbed, there are quick flashes of disturbing images, such as a cow in the middle of a desolate road about to be hit by an automobile. This stylish decision, thanks to Van Sant, is atmospheric and ingenious. Finally, the climax set in the fruit cellar surpassed all of my possible expectations, and the unveiling of Norman's mother really was frightening.
There are things that occur in, "Psycho '98," that Hitchcock could not have possibly done in 1960, because of the censors, but that add to the Norman Bates character. For example, while Norman peers through a hole in the wall at Marion undressing, he begins to masturbate, and it was actually touching. I couldn't believe how moving it was. Also, in the climax, while Lila is looking through the house, she goes into Norman's room, which resembles a twisted children's bedroom, equipped with toy soldiers, stuffed animals, and a porno magazine hidden in a drawer. It was subtle elements like this that made me start to care for Norman Bates, who is obviously a very confused, lonely man.
Major kudos, aside from the performances, must go to the alternately beautiful and moody production design by Tom Foden, the disturbing, original cinematography by Chris Doyle, and, of course, the incomparable, pounding music score by Bernard Herrmann, which was flawlessly adapted by Danny Elfman.
So with all of this praise, why isn't "Psycho '98," quite as good as the original? Well, the Lila character wasn't quite as memorable as when Vera Miles did the role, although this is no fault of Moore's. And the black & white photography of Hitchcock's could never possibly be replaced by color.
Although this new, "Psycho," is, in my mind, the best horror film of the year, I have a feeling that most people unfamiliar with the original will not like it very much. I have no doubt in my mind that some dimwitted teenagers are going to go into this thinking it will be a "Scream"-style slasher film, and they will be sorely disappointed. Although those types of movies have a rightful place in the horror genre, "Psycho," is better, because it is not all about killing (there's only two murders in the film), but instead is about the style and characters. Watching this film, I was struck by the extended dialogue scenes between some of the characters, which are so much more developed than most films of today's times. Director Gus Van Sant took a risky chance in remaking what is considered one of the greatest horror pictures ever made, and he has succeeded in all departments, actually improving upon the original in a few select aspects. Nothing will ever be able to take the place of Hitchcock, that is for sure, but I was amazed and awestruck at just how close Van Sant actually came to doing just that.
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.
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A united board consisting of clan masters, event hosts, team leaders and players that seek to promote fair and equitable practices in the community. We aim to create a unified body that hears and speaks the voice of the people, recognizes and values the hard work and contribution of everyone, leading to a platform that is completely representative and free from the dictatorship of a select few.


Namespace ES.Ascom.Alpaca.Devices
Classes
AxisRate
Describe a rate at which the telescope may be moved about the specified axis by the
Interfaces
ICamera
Defines the capabilities supported by an ASCOM Alpaca Camera device
ICameraAsync
Defines the capabilities supported by an ASCOM Alpaca Camera device
IDevice
Base interface of every client implementation of ASCOM Alpaca device
IDeviceAsync
Base interface of every client implementation of ASCOM Alpaca device
IDome
Defines the capabilities supported by an ASCOM Alpaca Dome device
IDomeAsync
Defines the capabilities supported by an ASCOM Alpaca Dome device
IFilterWheel
Defines the capabilities supported by an ASCOM Alpaca Filter wheel device
IFilterWheelAsync
Defines the capabilities supported by an ASCOM Alpaca Filter wheel device
IFocuser
Defines the capabilities supported by an ASCOM Alpaca Focuser device
IFocuserAsync
Defines the capabilities supported by an ASCOM Alpaca Focuser device
IObservingConditions
Defines the capabilities supported by an ASCOM Alpaca Observing conditions device
IObservingConditionsAsync
Defines the capabilities supported by an ASCOM Alpaca Observing conditions device
IRotator
Defines the capabilities supported by an ASCOM Alpaca Rotator device
IRotatorAsync
Defines the capabilities supported by an ASCOM Alpaca Rotator device
ISafetyMonitor
Defines the capabilities supported by an ASCOM Alpaca Safety Monitor device
ISafetyMonitorAsync
Defines the capabilities supported by an ASCOM Alpaca Safety Monitor device
ISwitch
Defines the capabilities supported by an ASCOM Alpaca Switch device
ISwitchAsync
Defines the capabilities supported by an ASCOM Alpaca Switch device
ITelescope
Defines the capabilities supported by an ASCOM Alpaca Telescope device
ITelescopeAsync
Defines the capabilities supported by an ASCOM Alpaca Telescope device
Enums
AlignmentMode
The alignment mode of the mount.
CameraState
ASCOM Camera status values.
DriveRate
Well-known telescope tracking rates.
EquatorialCoordinateType
Equatorial coordinate systems used by telescopes.
GuideDirection
The direction in which the guide-rate motion is to be made.
ObservingConditionSensorName
Available sensors in an Observing Conditions devices
PierSide
The pointing state of the mount. ASCOM has adopted the convention that the Normal pointing state will be the state where the mount is on the East side of the pier, looking West with the counterweights below the optical assembly.
SensorType
Sensor type, identifies the type of colour sensor
ShutterState
ASCOM Dome ShutterState status values.
TelescopeAxis
The telescope axes


| Edition 2019-20 Edition 2020-21 |
There are two important motives to study Nash equilibria in MAL. First, convergence to a Nash equilibrium is a very natural desideratum. If strategies would not converge to a Nash equilibrium, then at least one player does not play a best reply which is short of saying that its learning algorithm is “broken”. Second, MAL would be of great help if it can put to use to find Nash equilibria. Unfortunately, all research indicates that MAL and Nash equilibria do not form a happy combination. Nash equilibria's complexity (i.e., PPAD) seems not in line with the often simple MAL algorithms and MAL seems to yield correlated equilibria at best.
Presented byLecturer. |
SlidesJun 18, 2019. |
ScreencastNot available. |
AssignmentNot this year. |


Map examples
Minimal example (France)
Alternative content for the map
Refreshable map of France with coloured cities and areas labels and zoom buttons
Map with some overloaded parameters and 'onclick' callback on areas (France)
Alternative content for the map
Population of France by department with a legend
Alternative content for the map
Alternative content for the legend
Population of the 1000 more populated french cities with a legend
Alternative content for the map
Alternative content for the legend
Map of the world with the population by country
Alternative content for the map
Alternative content for the legend
Alternative content for the legend
Map of USA with some plotted cities
Alternative content for the map


We all have an internal clock (aka circadian rhythm) that naturally tells us when to sleep & wake up. The pillow of the future detects your sleep cycle and knows to begin the wake-up process when you're sleeping lightly. Your sunrise will start at the optimal time or up to 15 minutes before your set alarm time--to ensure you wake up feeling fully rested, every day.
In the morning your pillow will simulate a full sunrise. The gradually increasing light falls on your sleeping eyelids telling your body to stop producing Melatonin (the sleep hormone) and begin producing the energy hormone. This mimics the natural wake-up process you get when waking up to nature. By controlling when the sun rises in your bedroom, you can minimize fatigue and grogginess every day.
Once your sunrise is complete, nature sounds (or your favorite music) gradually increase to ensure you're awake--completing the wake-up experience.
Take control of your days by improving the quality of your nights.  With the Pillow of the Future app, your sleep trends & history show you how exercise, late nights, and even alcohol consumption affect your score, so you can perfect your sleep.
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Turn it on and tune out disturbances with a constant stream of sound
You can mask out unwanted sounds like television, talking in the next room and even your partner snoring
Immerse yourself in nature by choosing from 25 high quality nature sounds
Wirelessly stream audiobooks that automatically shut off when you have fallen asleep
Sleep or wake with breathing exercises & guided meditation
Available in ergonomic contour or classic shape - 33% off.
 Great for the entire family.


|
| rdfs:Literal rdfs:List | The class of all literals which can be represented as some VPlot rule
or pseudo-rule.
If this class is used as literal datatype URI the literal contains the
flat string VPlot rule representation. Otherwise when this class is
the range of a property which is used as a predicate in a triple, and
the object of the triple is not a literal, then the object contains
the segmented representation of the VPlot rule value as an rdf List.
|
|
| VPlot:VPlotLiteral | The class of all resources that can be represented by the VPlot rule
'vplot' (the string representation always begins with '@')
|
|
| VPlot:VPlotLiteral | The class of all resources that can be represented by the VPlot
pseudo-rule 'vrid', ie. which have have a 'vgrid' as their first step
(the string representation always begins with '@')
|
|
| VPlot:VPlotLiteral | The class of all resources that can be represented by the VPlot
pseudo-rule 'verbs', ie. which represent a path between resources ie.
which don't have a 'vgrid' as their first step (the string
representation always begins with '@').
|
|
| VPlot:VPlotLiteral | The class of all verb names. A context that performs VPlot valks shall
provide the conforming implementations for the subset of verbs that it
has declared to support.
|
|
| VPlot:VPlotLiteral | The class of all resources representing the VPlot rule 'vgrid' (always
begins with '$').
|
|
| VPlot:VPlotLiteral | The class of all resources representing the VPlot pseudo-rule
'vparam' (always begins with '$' or ':').
|


Help Yourself to Start Your New Journey at Karlsruhe
Bank Account
Available Location for this Service. Use Get Direction to reach at the service point.
To open a bank account, you will need:
Your Passport/ID Card
Your address in Karlsruhe (You should have one)
Your Student ID or enrollment certificate


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In this gallery we can look at arts and photographs by some tallented individuals. Walk around in 3D using W/A/S/D keys and your mouse. Enjoy! Note: The scene may take some time to load. Please wait patiently.


63. al-Munafiqun: The Hypocrites
1
When the hypocrites come unto thee (O Muhammad), they say: We bear witness that thou art indeed Allah's messenger. And Allah knoweth that thou art indeed His messenger, and Allah beareth witness that the hypocrites indeed are speaking falsely.
2
They make their faith a pretext so that they may turn (men) from the way of Allah. Verily evil is that which they are wont to do,
3
That is because they believed, then disbelieved, therefore their hearts are sealed so that they understand not.
4
And when thou seest them their figures please thee; and if they speak thou givest ear unto their speech. (They are) as though they were blocks of wood in striped cloaks. They deem every shout to be against them. They are the enemy, so beware of them. Allah confound them! How they are perverted!
5
And when it is said unto them: Come! The messenger of Allah will ask forgiveness for you! they avert their faces and thou seest them turning away, disdainful.
6
Whether thou ask forgiveness for them or ask not forgiveness for them is all one for them; Allah will not forgive them. Lo! Allah guideth not the evil-living folk.
7
They it is who say: Spend not on behalf of those (who dwell) with Allah's messenger that they may disperse (and go away from you); when Allah's are the treasures of the heavens and the earth; but the hypocrites comprehend not.
8
They say: Surely, if we return to Al-Madinah the mightier will soon drive out the weaker; when might belongeth to Allah and to His messenger and to the believers; but the hypocrites know not.
9
O ye who believe! Let not your wealth nor your children distract you from remembrance of Allah.  If only thou wouldst reprieve me for a little while, then I would give alms and be among the righteous.
11
But Allah reprieveth no soul when its term cometh, and Allah is Informed of what ye do.
-- Sura 63 --


Database (App\Database\Database)
✓ See in user db
✓ Can insert row in user db
✓ Can grab user
Student Controller (CodeIgniter\StudentController)
❌ View student