How to make a Dragon Ball memory game - PART 4
Welcome to the 4th part of this (surprisingly long) walktrhough series! Here we are trying to build a memory game based on Dragon Ball.
In PART 1 we handled the logic behind one card.
In PART 2 we focused on building the entire grid of cards.
Last week, in PART 3, we shook things up. Cards apart, we added two new features:
- moves counter
- star displayer
Today our main goal is one: to add a timer.
What we have
This is how I though it out.
There is a need to display the time passed since the start of the game.
This tells us two things.
One: we need to decide when the game starts. At page load, all cards are covered. Because of that, even if the player wanted to buy time, he can’t. So to consider the game to start at this moment is not a good idea. In fact, it’s fair to say that the game starts only when the player flips the first card.
Two: we must display the passing time in some way*. Inside our HTML code we have the following:
<div class="bar__time" id="displayed-time">
<time>
00:00:00
</time>
</div>
This is part of the score panel. It’s where we track the time. It’s where we will display it.
Take a look at it. Right now, time is a pure, static text. A placeholder. The only thing the above code does is to display this text: “00:00:00”. That’s it.
We need to take that and make it dynamic.
Logic
To make things more simple, easier to understand (read: to make my life easier) I decided to split time functionality in three parts. This means: three functions.
A function to add one second to the current time and display it the correct way. Just this. No more.
A second function that watches time. This is possible by calling the previous function at regular intervals. What interval? You guessed it - every second.
A third function that triggers the above two when the game starts. And when does that happen? I said it before: when the player flips a card.
This is the logic we’re going to base the code on. So here we go.
Grab some elements
Let’s start to code by taking a good look at the DOM, grabbing the elements we need today, and declaring the variables we’re going to use.
Let’s start by selecting the div that contains the time string
var displayedTime = document.getElementById('displayed-time');
Then, we declare a variable for each time units:
var seconds = 0,
minutes = 0,
hours = 0;
Two trackers, one for clicks and one for touches. We’re going to use these two later on:
var clickCount = '0',
touchCount = '0';
A variable to store the function to watch time.
var timer;
And to finish, a boolean to check whether the game started or not. For now, we leave it as false.
var gameStarted = false;
Add Time
With the variables handled, we can start building our three functions. To start, it’s important to make one that:
- adds 1 second
- update the time displayed
Let’s dig into that.
function addOneSecond() {
seconds++;
if (seconds >= 60) {
seconds = 0;
minutes++;
if (minutes > 60) {
minutes = 0;
hours++;
}
}
// handle displyed time format
// timer.textContent = hours + ":" + minutes + ":" + seconds;
displayedTime.textContent =
(hours ? (hours > 9 ? hours : hours + "0") : "00") +
":" +
(minutes ? (minutes > 59 ? minutes : "0" + minutes) : "00") +
":" +
(seconds ? (seconds > 9 ? seconds : "0" + seconds) : "00");
// repeat
watchTime();
}
Ok. Ok. Slow down. Baby-steps.
What can we notice: the function does something with a variable, there are two conditionals and one function call. Let’s look at them, one by one.
It increments var seconds
by 1.
seconds++;
The first conditional
if (seconds >= 60) {
seconds = 0;
minutes++;
if (minutes > 60) {
minutes = 0;
hours++;
}
}
It goes like this:
If the amount of seconds is greater than or equal to 60, it means we have a minute. So set seconds = 0
and increment minutes
by one. When you do this, check the amount of minutes: if minutes
is greater than 60, reset seconds = 0
and increment hours
by one.
The second conditional
// handle displyed time format
// timer.textContent = hours + ":" + minutes + ":" + seconds;
displayedTime.textContent =
(hours ? (hours > 9 ? hours : hours + "0") : "00") +
":" +
(minutes ? (minutes > 59 ? minutes : "0" + minutes) : "00") +
":" +
(seconds ? (seconds > 9 ? seconds : "0" + seconds) : "00");
Basically, time is displayed in a hours : minutes : seconds
format. We use displayedTime
here - remember: it’s where the time element is stored - to display the output of this conditional. But how does it work? Well, to start off it handles one unit at a time.
As for the hours:
* if hours
has a value, it checks whether it’s greater than 9. If that’s the case, it displays that value followed by a “0” text string.
* if the variable lacks a value it shows “00”
As for the minutes and seconds, it works in a similar way. The only difference is that for the former we check whether it has a value greater than 59, while for the latter we check whether it has a value of 9.
A call to watchTime()
.
Watch Time
We have a function that adds a second and updates the time string in the DOM.
But it does only that.
This time string must be updated on a regular interval to make sense. And this interval should reflect how we keep track of time in the real world. In other words, we need a function that adds 1 second every second.
function watchTime() {
timer = setTimeout(addOneSecond, 1000);
}
The above does just that. It calls addOneSecond()
each second. Pretty simple. Also, here’s how we use timer
: to store the timeout invoking watchTime()
.
Start the game
Now that we can track time, the last function to add is one that actually handles how the game starts.
function startGame() {
gameStarted = true;
watchTime();
}
It does two things:
- it sets
gameStarted = true
and - calls
watchTime
, which in turn will calladdOneSecond()
each second, ensuring a correct track of time.
Integrate
Now that we have the materials, we can have our time running. How? We integrate the above code in the main actor of this program: the cards loop.
// Updated card loop
for(let card of cards){
card.addEventListener('click', function(){
if(!isFlipped){
flipCard(card);
isFlipped = true;
clickCount++;
trackScore();
if(clickCount === 1){
startGame();
}
} else if(isFlipped){
flipCardBack(card);
isFlipped = false;
}
})
}
What changed?
Look closely.
When the user clicks a card and flips it, we increment clickCount
by 1 and track movements. We also check how many clicks we have: if it’s just one, it means it’s the first of the game, which means the game started. If that’s true, we call startGame()
, which in turn will watchTime()
.
To recap:
// user clicks -> clickCount++ -> if clickCount === 1: game started -> call
startGame() -> watchTime()
Here’s the CodePen:
See the Pen Memory Game - p4 by Davide (@davide2894) on CodePen.
Aaaand that’s it for today guys!
If you find this walkthrough useful, subscribe to my blog. You will be up to date to every new post I write. I won’t waste your time.
*Originally published on Codeburst.io


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Cashier & Seasonal Remodel Team Member. El Paso Texas May to August 2019.
- Completed all cleaning and organizing tasks as assigned. As well as remodeling activities like remove and install fixtures as well as stock products on shelves and unload trucks.
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employment name
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academic background
UTEP
BS in Computer Science
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EPCC
Associate of Arts - Computer Science
- El Paso community college – valle Verde campus - EPCC VV El Paso TX // 2018.
Programming Projects
Web Development
- Developed and structured my own portfolio website //Summer 2019
Coding a prize watcher Application in Java // Fall 2018
- Created a prize watcher application utilizing techniques like web scrapping and data persistence (Java Platform SE 7) with capabilities of adding an object from a website store like amazon and check for the prize and keep track of the price from the application.


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Carafe and water glass is intended for beside table for nightly drinks. It can hold a half a liter of liquid.
I wanted a very thin carafe, Lobmayerish thin — almost imaginary. I needed something to hold water but to look as if it were made out of the water itself.
I designed the carafe and water glass when I worked at Olgoj Chorchoj design studio in 2005.
It is produced and sell by Moravian Glassworks Květná.


Toasted Coconut
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London Fog
Hi, I'm Alexzandra. I'm a wife, mom to two little girls, baker, and craft
lover who has a lot of ideas and none of the time. When my 4-year-old was smaller she had a onesie that read "Messy hair,
don’t care”. She only wore it when her hair was brushed and up in those little piggy buns that only babies and models look
cute in.

I wouldn't trade it for anything in the world. It has however made two things unavoidably clear to me: 1. LIFE IS MESSY
and 2. As cute as that onesie was and as much as I try and convince myself otherwise, I DO CARE. ...and so, I bake.
The kitchen is one of the places where my need for perfection isn't a serious personality flaw. I've been baking for
as long as I can remember. In my early twenties I worked part time for a local cafe filling their pastry case with
cookies, brownies, cakes and sweet treats but it wasn't until afte r my second daughter was born that I tried my hand at
macarons. I'm not entirely sure if it’s because the attention to detail they require satisfies my type-a personality
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Thank you. I will confirm your order via Email ASAP!


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'A GUI FOR DRAT'
Home
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{% extends "_base_core.html" %} {% load humanize %} {% load static %} {% load common_tags %} {% block page_title %}Task profile plots{% endblock %} {% block subtitle %}Task profile plot for {{ jeditaskid }} task{% if viewParams.selection %}{{ viewParams.selection }}{% endif %}{% endblock %} {% block css_page_library %} {% endblock %} {% block js_head_page_library %} {% endblock %} {% block body %} {% if error|length == 0 %}
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KULL THE CONQUEROR A film review by Mark R. Leeper
Capsule: King Kull comes to the screen as Rafaella Di Laurentiis continues her father's series of Robert E. Howard adaptations.  Rating: high 0 (-4 to +4); 5 (0 to 10)
Last year we had the film THE WHOLE WIDE WORLD tell us about the personality of Robert E. Howard who from rural Texas spun yarns of barbarians fighting sorcerers. His chief character was Conan but some of his stories were about King Kull and took place in an earlier never-was. Kevin Sorbo, who plays TV's Hercules-with-pants stars as the title barbarian. The chief problem with this film is that it tells its story without worry too much what its audience is. The plot is a little lightweight for an adult audience and has a little too much sex-play for a children's film.
Kull (Kevin Sorbo) is a barbarian fighter come to join an army in a country with an old and unbalanced king. The king has several sons fighting for the throne. In a fit of anger the old king kills some of his sons and Kull fights the king to stop him. Mortally wounded the old king names the angry barbarian newcomer as his successor. Suddenly Kull is a king with new enemies trying to steal his kingdom.
The film is written by Charles Pogue who gave us DRAGONHEART last summer. While it is not a highly ambitious goal to capture Robert E. Howard's style in a script, he does a reasonable job. The villains could have had a little more depth. Of course one of Kull's better villains, Thulsa Doom, was borrowed for CONAN THE BARBARIAN. Conan lived well after Doom in Howard's pseudo-history. Here the problem was the script had times when it was a little hard to follow and there was perhaps a little too many "Shall I undress now, your highness?" scenes for a film essentially intended for adolescent audiences.
Director John Nicoletta makes unfortunately makes little effort to preserve the period feel and it is here that the film falls down the most. The horses are shoed and have bridals that would look too modern in a Civil War film. But Nicoletta's biggest mistake is in allowing Joel Goldsmith's totally misplaced main theme. It is difficult to evoke so ancient a period with electric guitars and Joel's attempt is merely jarring and obnoxious. The visual effects are not always convincing, including some bad mattes, but for me that is a small fault.
Sorbo is not the most exciting actor in the world. Charleton Heston claimed he was cast in a lot of historical films because people thought he had a historical sort of face. I am told by one of the women that Sorbo's great virtue is his pectorals. But Sorbo does not really evoke a historical period. Part of it may be that he never dresses for the period. As with the Conan films, there is an odd mix of cultures and races in the primeval world. Most of the sets are Egyptian-looking. Sorbo's sidekicks include a priest of an unknown cult played by Litefoot, who played the title role of INDIAN IN THE CUPBOARD. Tia Carrere is of Chinese descent, I believe. Then there is Harvey Fierstein as a pirate captain. I cannot honestly say he was badly cast since had I never seen him before he might have not seemed all that strange in this role. For once his gravelly voice might have made him seem tough.
Tone down the sex and this might have made a decent matinee film. As it is there is a lot of sex but no nudity and a lot of violence with virtually no blood. I rate this one a high 0 on the -4 to +4 scale.
Mark R. Leeper<EMAIL_ADDRESS>Copyright 1997 Mark R. Leeper
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Kroll started her career out at St. Francis, but an ACL tear cut her high school senior season short and forced her to miss her first season. After a long road to recovery, Kroll averaged over 13 points a game and won Northeast Conference Newcomer of the Year, helping lead her team to an NCAA appearance.
After a strong first full collegiate season, Kroll transferred to Ohio, where she had to sit out another season due to the transfer rules at the time. After a long wait to suit up for Ohio, Kroll appeared in 30 games that season, starting seven. She averaged 23 minutes per game and 4.4 points in a season where she was finding her role. She felt at home the next season and started all 23 games she appeared in for Ohio. She was named to the Academic All-MAC team, an award she still values strongly today.
Unfortunately for Kroll, her bad luck continued; an unexpected hip injury that required surgery led her to miss all of last season. She returned to the floor for the Bobcats this season. Embracing her new role fully, she has been a coach's dream on and off the floor. A tough season with a young roster can be detrimental for a program, but Kroll has made it her goal to motivate the team.
"I knew I had to step up my role this year , especially losing some key pieces early on," Kroll said. "I know that these younger girls look up to me and I've been around the program for a while. I know the ins and outs and I think they can see how hard I play every time I step out on the court. Going through so many injuries, this stuff can be taken from you in a second."
Ryan Grzybowski | For The Post
Ohio guard Caitlyn Kroll (5) passes the ball past Ohio State defense, Bobcats lose 56-86 in the Convocation Center on Nov. 17, 2022.
Kroll spoke honestly in an interview about returning from injuries. She has now had three season-ending injuries, including one this year, which is not only a difficult physical challenge but a mental challenge as well.
"I have no idea," Kroll said, laughing about how she managed a positive attitude through her bad luck. "Every time I got hurt, I just feel like I use that as fuel. Like I'm going to come back from every single injury better than I was before. I might not be the same player I was before, but I think I contribute to the game in a variety of ways."
Though Kroll is out for the rest of the season, she still cares about the program and her friends out on the floor. Her face lit up when talking about helping her teammates grow.
"He (Boldon) was like even when you are not here, you make such an impact. I didn't realize how much of an impact I had," Kroll said when discussing her conversations with head coach Bob Boldon. "I know what this team needs and ever since we had that talk, I just try to know how much I can impact these younger girls."
Even after she suffered a season-ending injury in last week's loss to Ball State, Kroll emphasized that she will be traveling with the team and attending practices to soak up her last couple weeks as a member of this program.
Kroll also emphasized how excited she is for the future of the program. After sophomore Yaya Felder and freshman Jaya McClure combined for over 50 points in last Saturday's victory, Kroll didn't have enough positives to bring up about the underclassman on this roster.
"I am excited for this team. I really am," Kroll said. "He's bringing in a handful of great players to add to an already dynamic squad. Yaya and Jaya, they are going to be special. They're young and to see them playing at that high of a level at such a young age, they're only going to keep getting better. I wish I could be around but I will definitely will be supporting from a distance."
After having this conversation with Kroll, it was easy to tell she is proud of her accomplishments, both on and off the floor. She has been through more than any college athlete should have to deal with. She has shown toughness and grit through a tumultuous career for Ohio.
Although they won't have her services on the floor for the rest of the season, the Bobcats will have her leadership right by their side. Kroll will always have a lasting impression on this Bobcat program; she's a coach and teammate's dream.


Here is another fat cat.
Here is ANOTHER fat cat.
Here is a chonky cat.
Here is, um….
Here is a chunky cat MEME. Not just a chunky cat.
Here is a chonky cat meme.
Here is another chonky cat meme.
Here is ANOTHER chonky cat meme.
That’s all I have for now. Thanks for reading, and have a nice day!


Across: 5. Ask about some music (3) 7. Where the 4 10 final was played in 2009, with Cork beaten by rampant Kerry, lacking Ray Carey's extremes but featuring returning AFL player's early contributions (5 4) 8. Under direction to drop northern offensive (4) 10. Recreation of metatarsal pad? (8) 11. Eggy preparations of western county? (5) 12. Trump perhaps concerning purveyor of intoxicating stuff (10) 16. Return of boring old poet (4) 17. Old boy violated oath (6) 18. Time out finishes for class you learn had a party (6) 19. Weapons changing hands, some sort of charity! (4) 20. Dangerous fruit of Derry rebel's agitation (10) 24. Big Apple feature turned hospital for many who came to Hell's Kitchen (5) 26. Large become small in riotous Big Apple, and they may be played by the 24 (8) 28. Attempt beating host (4) 29. A ring, a cog in the machinations, some of whom were 28 by the 24 12 6 on 17 18 (5 4) 30. Like having bottle opener included in six-pack perhaps? (3) Down: 1. Oddly, chose not to include second repeat (4) 2. After passing mouth, soup's not the same (10) 3. Will a ceremony bring back memories? (6) 4. Perhaps 24 uprising contained by facile aggression (6) 5. SF movie where main character from The Coldest Game swaps sides (6) 6. Force like Durga? (4) 9. Vessel like Shiva? (9) 10. Pro returning, cut from pro 10 across (3) 13. Decorate England's local leaders involved in ugly blemish (9) 14. Simple story of country brutally divided, essentially rising up (5) 15. Seal arrangement about one's future, stitched up after walking down this path (5) 16. Colourful character who sang and bungled raid... bugger! (10) 20. Guidelines for the CSI cast (6) 21. Build structure near northern city (6) 22. Area's faith has element missing (6) 23. Agreement party essentially broke (3) 25. One-to-one return, i.e. not much (4) 27. A bit of speed gets advantage (4)


These counterfactual explanations generate segmentations of
slightly different brains to see which modalities most
impact segmentation performance. This involves a few steps,
each of which can be visualized by selecting the corresponding
check box.
The eventual output is a number, shown above each image when
the Counterfactual Attributions box is checked, indicating
whether that modality (column) is
rather important for correct segmentation (red, close to 1),
has little impact on segmentation output (white, close to 0),
or actually misleads the model into produce an incorrect segmentation (blue, close to -1).
A few steps are required to generate this explanation.
The first is to generate a different version of the same.
We generate four different versions, one for each modality.
For example, the T1 counterfactual brain is generated by
removing the box indicated when Show Inpaint Box
is selected then "inpainting" that region, attempting to
synthesize what that would look like in a non-tumorous
version of the same brain. The resulting image can be seen
by checking Show Inpaint Image.
Finally, a segmentation is generated for this inpainted image.
It can be seen by checking Counterfactual Segmentation.
This is different than the segmentation the model did for the
original brain image. The number shown when Counterfactual
Attributions is checked shows how much worse the
segmentation got relative to the ground truth segmentation.
A good model should get worse relative to the ground truth
because it should not see tumor in the inpainted image.


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Hello welcome to my website
Hello, my name is Shannon! I am currently a Speech-Language Pathologist specializing in working with adults with speech and swallowing disorders. I was born and raised in Texas but now call Southeast Portland my home.
I decided to join Epicodus because I want to gain technical skills to join a job field that is fast-paced and creative with many opportunities for growth. I love to learn and I'm excited for what is to come!


Introduction
The second analysis unfolds other aspects related to our Wikipedia environment, indeed it tries to locate our topic, the right to be forgotten, by mapping the Wikipedia pages containing a link to the Right to be forgotten page.
We operated a quantity-quality investigation on these pages, combining the quantity of bytes of each page with the content of the texts. Our aim was to verificate if there were common topics, and which page was the best updated.
This relation becomes very interesting once we added informations about the date and authorship of the link, giving us an overview of the closest topics and how the discussion was carried on before the creation of its own page.


While playing YouTube video in Popup & after that closing the popup sound doesn't off automatically. Sound issue solved without using of any CDN. We used only JQuery to solve sound issue.
Play videos & see result by yourself !!
Play video 1
Play video 2
Play video 3
Click here to close popup


{% load static %}
{{ c.pub_date|date:"M d, Y"}} at {{ c.pub_date|date:"H:iA" }}
{{ c.up_votes }} Likes
{{ c.pub_date|date:"M d, Y"}} at {{ c.pub_date|date:"H:iA" }}
{{ c.user_name }}
{{ c.text }}


| DOSE: T+ 0:00 |
3 g |
oral |
Smarts - Phenibut |
(powder / crystals) |
| T+ 1:00 |
100 mg |
insufflated |
Smarts - Phenibut |
(powder / crystals) |
| T+ 3:00 |
1 g |
oral |
Smarts - Phenibut |
(powder / crystals) |
| T+ 4:00 |
100 mg |
insufflated |
Smarts - Phenibut |
(powder / crystals) |
| T+ 5:00 |
1 g |
oral |
Smarts - Phenibut |
(powder / crystals) |
After mixing 3g into a drink, I quickly drank the bitter solution. I would give the taste of phenibut as a comparison to very salty citric acid. So, add lots of sweetener to your drink. I found that saccharin was a good match. I began to notice effects about an hour later. I felt a feeling of stimulation first (increased heart rate). This was followed by a feeling of extreme relaxation. A few people I was taking this with experienced a slight headache in the form of pressure in the sinus cavities (the difference is that I HAVE been taking GABA as a supplement the past week, this may have affect my experience).
I soon began to feel as if I were drunk. The only difference was the ability to comprehend things. I did not feel a loss of cognition. After another hour, I decided to rail a small line. WARNING THIS BURNS LIKE HELL. I felt more intoxicated, but I do not recommend this. After another hour, I felt very very intoxicated. This feeling increased until about 3 hours where it leveled off. I was highly off base of sobriety by now and I would say my cognitive skills had decreased. Because of this, I decided to eat 1g more of powder. It tasted very badly, but more easily ingested than the drink mixture as I could chase it and dissipate the taste readily.
I decided to rail another small line as well as ingest another gram of the stuff. However, by now this dosage did nothing to my peak intoxication. In fact I would strongly recommend not to increase the dosage after initial dosing due to the long half-life and nature of the substance.
Throughout the night I felt very intoxicated and even began to develop a slurred speech. Upon recieving a ride home, I promptly went to bed. I was typing this report on my computer when I passed out completely and awoke about 5 hours later, much like blacking out on alcohol. I then went back to sleep and awoke 8 hours later still feeling slightly intoxicated. I do remember have a deep sleep with very vivid dreams.
I still feel intoxicated way past waking up, and in conclusion believe I ingested way too much phenibut. Please use caution with this substance and do not exceed 3g on your first use. Believe me, this is enough.
I'm rather excited about this substance as an anxiety reducer and an occasional recreational drug.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


What is Web Scraping?
Web scraping is the technique for extracting the relevant information from a webpage. web scraping allows user to get the relevant information from any websites and it can be done manually as well as with the help of bots as well.
Why Python for Web Scraping?
Python has become one of the widely used programming language and with its easy to learn syntax and huge number of libraries such as BeautifulSoup, Scrapy , Pandas etc, it is one of the most preferred programming language for web scraping.
Things to know before getting started with Web Scraping
- Web Scraping might be against the terms of service of some websites so it is suggested that first contact the administrator before starting web scraping.
- Main step to start web scraping is to observe the webpage and inspect the source code of the website thoroughly.
- You should have some basic knowledge of HTML and CSS before starting web scraping because you will mostly deal with HTML and CSS code so this step is mandatory.
Libraries Required
1. Requests
It is the library which is used to make HTTP requests from python program.
For Python 3
pip install requests
For Python 2.x
pip install bs4
Method for requests mode
get(): get function sends the get requests to the given url which then returns a response object
Example:
import requests
source = requests.get(url)source.status_code
Output: 200
2. Beautifulsoup
BeautifulSoup is a python library used for parsing the HTML and XML data. We can iterated through all the data.
You can read complete beautifulsoup documentation here
For python 3:
pip3 install requests
For python 2.x
pip install bs4
Using BeautifulSoup Library
import requests
import bs4
source = requests.get(url)
soup = bs4.BeautifulSoup(source.text,lxml)
select () : select() returns the list type object with the tag
| Command | Description |
|---|---|
| select('tag') |
tag is the name of any HTML tag |
| select('.class_name') |
class name of the tag will always start with. |
| select('#id') |
name of id of the tag will always start with # |
| select('tag1 tag2') |
tag1 is the main tag while tag2 is the tag which is enclosed within the main tag |
| select('tag1 > tag2') |
tag1 is the main tag while tag2 is the directly enclosed within the main tag |
- Using select() to grab the title of the webpage
title = soup.select('title')
- Using select() to grab the data from a specific tag
tag = soup.select("div")
- Using Select() to get the data from an attribute of a tag
tag = soup.select("img")
tag["src"]
- Using select() to get data from the tag with specific id
# id will always start with #
id_data = soup.select("#id")
- Using select() to get data from the tag with specific class
# class will always start with .
id_data = soup.select(".class")
To get more practical knowledge Click here.


Sentinel Knight Alberius:
I would like to ask you to carry out a task for me. This task must be swiftly and quietly completed without attracting the attention of the other Elves. Can I trust you with this?
Say you will take the task


|
Produced by Siminov Software Solution LLP | ||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
public interface IHandler
Exposes methods to deal with actual request comes from WEB-TO-NATIVE or NATIVE-TO-WEB. It has methods to open, create, close, and execute query's.
| Method Summary | |
|---|---|
void |
handleNativeToWeb(java.lang.String action,
java.lang.String... data)
Handle request from NATIVE-TO-WEB. |
java.lang.String |
handleWebToNative(java.lang.String action)
Handle request from WEB-TO-NATIVE |
java.lang.String |
handleWebToNative(java.lang.String action,
java.lang.String data)
Handle request from WEB-TO-NATIVE |
| Method Detail |
|---|
java.lang.String handleWebToNative(java.lang.String action)
action
- Action Needs to be performed on Native.
java.lang.String handleWebToNative(java.lang.String action, java.lang.String data)
action
- Action Needs to be performed on Native.data
- Data to Native Handler.
void handleNativeToWeb(java.lang.String action, java.lang.String... data)
action
- Action Needs to be performed on Web.data
- Data to Web Handler.
|
Apache License 2.0 | ||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


Some tools for cleaning up messy 'Excel' files to be suitable for R. People who have been working with 'Excel' for years built more or less complicated sheets with names, characters, formats that are not homogeneous. To be able to use them in R nowadays, we built a set of functions that will avoid the majority of importation problems and keep all the data at best.
| Version: | 0.13 |
| Depends: | R (≥ 3.1) |
| Imports: | assertthat, devtools, dplyr, ggplot2, lazyeval, lubridate, magrittr, officer, stats, stringi, stringr, tidyr, utils, rvg |
| Suggests: | knitr, rmarkdown, covr, testthat |
| Published: | 2018-06-21 |
| Author: | Vincent Guyader [aut, cre] |
| Maintainer: | Vincent Guyader <vincent at thinkr.fr> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | thinkr results |
| Reference manual: | thinkr.pdf |
| Package source: | thinkr_0.13.tar.gz |
| Windows binaries: | r-devel: thinkr_0.13.zip, r-release: thinkr_0.13.zip, r-oldrel: thinkr_0.13.zip |
| OS X binaries: | r-release: thinkr_0.13.tgz, r-oldrel: thinkr_0.13.tgz |
| Old sources: | thinkr archive |
Please use the canonical form https://CRAN.R-project.org/package=thinkr to link to this page.


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Trains collide in Bangladesh, killing at least 16
by The Associated Press, StaffDHAKA, Bangladesh -- Two trains collided in eastern Bangladesh on Tuesday, killing at least 16 people and injuring scores, officials said.
Local police chief Shayamal Kanti Das said the collision took place when the Udayan Express and Turna Nishita trains approached each other on the same track from opposite directions in Brahmanbaria district. The area is 82 kilometres (51 miles) east of the capital, Dhaka.
Local government administrator Hayat Ud Dowlah Khan said 16 people died and at least 40 others were being treated at hospitals for injuries. The United News of Bangladesh news agency said more than 100 were injured.
TV footage showed fire service rescuers pulling bodies from the twisted coaches and using body bags to send the bodies to hospital morgues.
Authorities were investigating the accident, but officials said they found the driver of the Turna Nishita train responsible because he ignored a signal. That driver and two others have been suspended.
Train accidents are common in Bangladesh, blamed mainly on unsupervised railway crossings, poor signalling and bad track conditions.


BLOOD BRIDGE
Contact Blood Banks
About Us
Organization Dashboard
Open Alerts
Open Blood Request Alerts
Search:
TYPE
LOCATION
PRIORITY
PHONE
A+ve
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Create a new request for blood
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Add a new blood donation drive
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Contact Number
Location
CREATE DRIVE
Address
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Contacts
Email<EMAIL_ADDRESS>Phone: +91 98864 84884
Links
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TED
Contents:
Where to find TED
Pre-requisites
How to run TED
Setting up Data Inputs
TED Virtual Machine (VM)
Pre-requisites
Setting up TED VM Application
Select Appliance on VM
Import Appliance on VM
TED Appliance settings for import on VM
TED Appliance Importing on VM
TED Appliance Settings on VM
Go to Settings
System Requirements
Network
Shared Folders
Connecting TED Appliance on VM
Go to Settings
Broad casted Galaxy instance IP address
Web Browser connection of Galaxy instance on VM
How to access TED toolkit on VM
TED VM Troubleshoot
Galaxy instance IP address unreachable
Reinitialize TED appliance
Reconnect Galaxy instance IP address on web browser
About:
License
Contact
TED
Docs
»
Where to find TED
View page source
Where to find TED
¶
Pre-requisites
¶
How to run TED
¶
Setting up Data Inputs
¶


Attributes
This section will cover testing of attributes and their properties.
Controller attributes
First, we need another package. Again?!
Do not worry, later in this tutorial we are going to use the "Universe" package and this madness will end. The purpose here is to show you the different components of the testing framework.
Now, obey the rules and add "MyTested.AspNetCore.Mvc.Controllers.Attributes" to your "MusicStore.Test.csproj" project:
<!-- Other ItemGroups -->
<ItemGroup>
<PackageReference Include="Microsoft.AspNetCore.App" />
<PackageReference Include="Microsoft.NET.Test.Sdk" Version="16.0.1" />
<PackageReference Include="Moq" Version="4.13.0" />
<PackageReference Include="MyTested.AspNetCore.Mvc.Authentication" Version="2.2.0" />
<PackageReference Include="MyTested.AspNetCore.Mvc.Controllers" Version="2.2.0" />
<PackageReference Include="MyTested.AspNetCore.Mvc.Controllers.ActionResults" Version="2.2.0" />
<!-- MyTested.AspNetCore.Mvc.Controllers.Attributes package -->
<PackageReference Include="MyTested.AspNetCore.Mvc.Controllers.Attributes" Version="2.2.0" />
<PackageReference Include="MyTested.AspNetCore.Mvc.Controllers.Views" Version="2.2.0" />
<PackageReference Include="MyTested.AspNetCore.Mvc.Controllers.Views.ActionResults" Version="2.2.0" />
<PackageReference Include="MyTested.AspNetCore.Mvc.DependencyInjection" Version="2.2.0" />
<PackageReference Include="MyTested.AspNetCore.Mvc.EntityFrameworkCore" Version="2.2.0" />
<PackageReference Include="MyTested.AspNetCore.Mvc.Http" Version="2.2.0" />
<PackageReference Include="MyTested.AspNetCore.Mvc.Models" Version="2.2.0" />
<PackageReference Include="MyTested.AspNetCore.Mvc.ModelState" Version="2.2.0" />
<PackageReference Include="xunit" Version="2.4.0" />
<PackageReference Include="xunit.runner.visualstudio" Version="2.4.0" />
</ItemGroup>
<!-- Other ItemGroups -->
Let's assert that our "CheckoutController" is decorated with the commonly used "AuthorizeAttribute". Go to the CheckoutControllerTest" class and add the following test:
[Fact]
public void CheckoutControllerShouldHaveAuthorizeAttribute()
=> MyController<CheckoutController>
.Instance()
.ShouldHave()
.Attributes(attributes => attributes // <---
.RestrictingForAuthorizedRequests());
Simple as that. Additionally, in the the "HomeControllerTest" class, we can add:
[Fact]
public void HomeControllerShouldHaveNoAttributes()
=> MyController<HomeController>
.Instance()
.ShouldHave()
.NoAttributes();
Of course, if you change "NoAttributes" to "Attributes", you will receive an error:
When testing HomeController was expected to have at least 1 attribute, but in fact none was found.
Action attributes
Action attributes are not different. Let's test the "RemoveAlbumConfirmed" action in the "StoreManagerController":
[HttpPost, ActionName("RemoveAlbum")]
public async Task<IActionResult> RemoveAlbumConfirmed(
[FromServices] IMemoryCache cache,
int id,
CancellationToken requestAborted)
{
// action code skipped for brevity
We need to test the "HttpPost" and "ActionName" attributes:
[Fact]
public void RemoveAlbumConfirmedShouldHaveCorrectAttributes()
=> MyController<StoreManagerController>
.Instance()
.Calling(c => c.RemoveAlbumConfirmed(
With.No<IMemoryCache>(),
With.No<int>(),
With.No<CancellationToken>()))
.ShouldHave()
.ActionAttributes(attributes => attributes // <---
.RestrictingForHttpMethod(HttpMethod.Post)
.ChangingActionNameTo("RemoveAlbum"));
Working like a charm! :)
Custom attributes
Sometimes you will have custom attributes which are not available in the fluent testing API. For example, you may have noticed that there is no method to test the "ValidateAntiForgeryTokenAttribute"". Actually, it's in the "ViewFeatures" package, but you don't know that! :)
Let's see an example and test the HTTP Post "Login" action in the "AccountController". It has these three attributes - "HttpPost", "AllowAnonymous", "ValidateAntiForgeryToken". For the latter you can use the "ContainingAttributeOfType" method:
[Fact]
public void LoginShouldHaveCorrectAttributes()
=> MyController<AccountController>
.Instance()
.Calling(c => c.Login(
With.Default<LoginViewModel>(),
With.No<string>()))
.ShouldHave()
.ActionAttributes(attributes => attributes
.RestrictingForHttpMethod(HttpMethod.Post)
.AllowingAnonymousRequests()
.ContainingAttributeOfType<ValidateAntiForgeryTokenAttribute>()); // <---
The action is still invoked in this test, so we need to provide a non-null value for the "LoginViewModel" parameter. A better approach for testing action attributes (without having to specify the parameters) will be available in the next major release of the library. :)
Sometimes you may want to test specific property values of the attribute. You can use the "PassingFor" method:
[Fact]
public void StoreManagerControllerShouldHaveCorrectAttributes()
=> MyController<StoreManagerController>
.Instance()
.ShouldHave()
.Attributes(attributes => attributes
.SpecifyingArea("Admin")
.PassingFor<AuthorizeAttribute>(authorize => authorize // <---
.Policy == "ManageStore"));
Section summary
We saw how easy it is to assert and validate all kinds of controller and action attributes. But enough about them - in the next section we will cover thrown Exceptions.


Digitisation doesn't make everything equal, it just makes everything the same size.
We are usually offered more pixels per millimetre for a very tiny object than for a very large one. The camera gets closer to small things, because it can. In any digitised collection, small things like stamps and coins have more detail than big things like paintings and tapestries.
We don't usually think about this because we are used to it. Capturing The Night Watch at 50 pixels per millimetre is a major undertaking. Capturing a postage stamp at this resolution is trivial on a cheap home scanner.
More pixels per real-world millimeter are available for the the first Holbein below, than for the second:
Portrait miniature of Anne of Cleves by Hans Holbein the younger (1497-1543), set in a turned ivory box. © Victoria and Albert Museum, London. Image and metadata usage subject to V&A Terms and Conditions.
Hans Holbein the Younger, 1497/8 - 1543. Jean de Dinteville and Georges de Selve ('The Ambassadors'). These images are © The National Gallery, London. These works are licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).
Web page design leaves spaces for images, and the spaces get filled. What if we want to introduce some notion of relative size? We could try to use the pixel dimensions of the images to give some sense of scale. The Anne of Cleves image is about 2000 pixels wide, the Ambassadors about 5000, therefore:
This scale is obviously hopelessly wrong. At least The Ambassadors comes out bigger than Anne of Cleves in this case. There's no reason for this to be generally true, especially here where the two images are coming from different places.
Maybe we can get a clue from the maximum level of detail we can find in both images - how far can we zoom in?
The fact that the two faces end up at roughly the same size is probably a coincidence. But perhaps it tells us a little about what we want when we look at each of these images.
Even if we know how big things are from written descriptions, they are presented using the same pixels on a screen. And if there is deep zoom, we're still using the same viewport from one item to the next - we're looking at everything through the same window every time. Maybe you can spread your fingers or spin your mousewheel more for some images than for others, zoom deeper into them; but only context, experience and familiarity give you a clue how big something really is.
The exciting tininess of a miniature, the macho spread of The Ambassadors - they light up the same dots on the screen.
This is hardly a new idea. Deep Zoom is just one more kind of mechanical reproduction, to be added to those given to us in the 19th and 20th centuries.
Can IIIF help?
No, not really. We're still sitting in front of our monitors or looking at our phones. But there are some ways in which IIIF can do something with scale, that allows objects to be presented with at least an idea of their actual sizes.
The Physical Dimensions service is an extension to IIIF. It is an extra piece of metadata a publisher can provide, that tells a software client what the physical scale is - how many pixels in the image make up a millimeter in the real world. Software clients can use this information to show a dynamic ruler:
(Click for larger)
Example taken from
MDZ Digital Library team at the Bavarian State Library.
A user interface could also use this scale information to show an item compared to some other real world object:
Screen shot from The Waddesdon Bequest, designed by Good, Form & Spectacle for The British Museum.
What could we do if the two IIIF Image Services for the two Holbeins had this extension service? First of all, what would it say?
The specification says:
...the physical dimensions service need only report two additional pieces of information: the scale factor to multiply the dimensions by to calculate the physical dimensions, and the units for those generated physical dimensions.
When used with the Image API, it allows a client to calculate the pixels per inch (often abbreviated as PPI or DPI) of the image it is associated with. When used with the Presentation API, it gives the size of the object that the Canvas is a surrogate for.
Here is what we know about the sizes of the two items:
The image service for the Anne of Cleves miniature is 2103 x 2500 pixels. Looking at the full image, we can measure the width in pixels of the object itself as 1383 x 1401:
...so let's say, for the purposes of this example, that 60mm is 1400 pixels in this photograph. Which means that this image, at the full size, is 23.33 pixels per mm.
The image service for The Ambassadors is 5194 x 5124 pixels (w x h) - almost square but ever so slightly wider than it is high. But the catalogue description says 207 x 209.5 cm. Other images online are also wider, including Wikimedia's 30000 × 29560 version. Maybe the catalogue description includes the frame? Anyway, for the example we will split the difference and say that 2085mm is 5159 pixels. Which gives us 2.47 pixels per mm.
Anne of Cleves is almost exactly ten times the resolution of The Ambassadors - the camera gets closer!
Given this information, we can now show the two images in the same web page at the correct physical scale:
While this respects the relative sizes of the pictures, it's next to useless if we actually want to look at Anne. But with the physical dimension service on our images, we can work out how they should scale together for deep zoom, too:
Deep zoom version using OpenSeadragon. View the source of the web page to see how this is done.
Now we can zoom right into the Anne image in great detail, while maintaining the relative sizes.
The above example only uses the IIIF Image API. The code on this page decides that Anne should go on the left, then a little gap, then The Ambassadors.
The other approach, which ends up at the same place as the above example, is to compose a IIIF Canvas with two images on it at the correct relative sizes, and publish it, and hope that clients will render it correctly.
In IIIF, the Canvas is a space for assembling content, like a PowerPoint slide.
Rather than giving two independent IIIF resources to the client, the Publisher could place the items on a IIIF Canvas. Imagine doing exactly the same thing in PowerPoint:
We can do this with a IIIF Canvas, too, and publish it in a IIIF Manifest. Then a viewer could display the canvas - that is, display the composition we intend:
OpenSeadragon simulation of a CANVAS rendering. The Canvas has been shown in blue to make clear what is being displayed here. The code in the source of this page is designed to reduce the idea of the canvas and how things are placed on it to the minimum level of simplicity.
...or rather, we could do this if OpenSeadragon supported a IIIF Canvas. But it doesn't, so if we want to do things like this, outside of a complex viewer, we have to do the maths and the composition ourselves (view the source of this page to see how) and then add the images to OpenSeadragon manually.
This article is a disguised use case for Canvas Panel.
Canvas Panel is a component that occupies the same niche as OpenSeadragon - it's not itself a viewer, it doesn't understand manifests or ranges or thumbnails or navigation; it doesn't have any UI other than reacting to zoom gestures. It's a rendering surface that translates an arbitrarily complex canvas composition for you, so you don't have to work everything out yourself. Use it where you would use OpenSeadragon (or Leaflet, or any other rendering mechanism - even static images).
...
This article was written in collaboration with the AHRC-funded project Practical IIIF, a foundation project of Towards a National Collection.
...


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Discover exciting third level education opportunities at Letterkenny Institute of Technology.
We have two thriving campuses in Ireland's North West: Letterkenny and Killybegs.
Our Schools of Business, Engineering, Science and Tourism provide a wide variety of programmes, with awards right up to Masters and Doctorate level.
alert($("p:first").html()) |
alert($("p:first").text()) |
alert($("ul").html()) |
alert($("h1").text()) |
alert($("ul").text()) |
$("li.a").text("New Courses") |
$("ul").html("
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Validation & annotations
Validating instances
JsonSchema
exposes a Validate()
method which is used to validate JSON instances. Let's begin with the following schema and a few JSON objects:
{
"properties":{
"myProperty":{
"type":"string",
"minLength":10
}
},
"required":["myProperty"]
}
{}
{"myProperty":false}
{"myProperty":"some string"}
{"otherProperty":35.4}
"nonObject"
To validate these, all we have to do is pass these into our schema's Validate(JsonElement)
method.
JsonSchema schema = new JsonSchemaBuilder()
.Properties(
(
"myProperty", new JsonSchemaBuilder()
.Type(SchemaValueType.String)
.MinLength(10)
)
)
.Required("myProperty");
var emptyJson = JsonDocument.Parse("{}").RootElement;
var booleanJson = JsonDocument.Parse("{\"myProperty\":false}").RootElement;
var stringJson = JsonDocument.Parse("{\"myProperty\":\"some string\"}").RootElement;
var shortJson = JsonDocument.Parse("{\"myProperty\":\"short\"}").RootElement;
var numberJson = JsonDocument.Parse("{\"otherProperty\":35.4}").RootElement;
var nonObject = JsonDocument.Parse("\"not an object\"").RootElement;
var emptyResults = schema.Validate(emptyJson);
var booleanResults = schema.Validate(booleanJson);
var stringResults = schema.Validate(stringJson);
var shortResults = schema.Validate(shortJson);
var numberResults = schema.Validate(numberJson);
var nonObjectResults = schema.Validate(nonObject);
The various results objects are of type ValidationResults
. More information about the results object can be found in the next section.
In the above example, the following would result:
emptyJson
andnumberJson
failed because"myProperty"
was not found.booleanJson
failed because the value of"myProperty"
is of the wrong type.stringJson
passed validation.shortJson
failed because the value of"myProperty"
was too short.nonObject
also passed validation becauseproperties
andrequired
ignore non-object JSON.
No errors would actually be reported here because the output format defaults to a "flag" format, which is a basic pass/fail. To get specific errors, the output format will need to be configured.
Validation results
JSON Schema draft 2019-09 standardized the format for validation output in order to support cross-platform and cross-implementation compatibility. The format is described in the JSON Schema spec, section 10. This includes support for both errors and annotation collection.
In summary, there are four levels of verbosity for output: Flag, Basic, Detailed, and Verbose.
The flag format will simply return a boolean value indicating a pass/fail result. All other formats include JSON Pointers and URIs to indicate the source of the errors or annotations that were produced.
A basic format reduces all of the errors to a flat list.
The detailed and verbose output formats follows the hierarchical structure of the schema. The verbose one copies this structure exactly, whereas the standard hierarchy will condense the results where possible.
The default output format is Flag, but this can be configured via the ValidationOptions.OutputFormat
static property.
NOTE It's only possible to translate from a more detailed to a less detailed format.
Examples of output
Verbose Hierarchy
{
"valid" : false,
"keywordLocation" : "#",
"instanceLocation" : "#",
"errors" : [
{
"valid" : false,
"keywordLocation" : "#/allOf",
"instanceLocation" : "#",
"keyword" : "allOf",
"errors" : [
{
"valid" : false,
"keywordLocation" : "#/allOf/0",
"instanceLocation" : "#",
"errors" : [
{
"valid" : false,
"keywordLocation" : "#/allOf/0/type",
"instanceLocation" : "#",
"keyword" : "type",
"additionalInfo" : {
"expected" : "array",
"actual" : "object"
}
}
]
},
{
"valid" : false,
"keywordLocation" : "#/allOf/1",
"instanceLocation" : "#",
"errors" : [
{
"valid" : false,
"keywordLocation" : "#/allOf/1/type",
"instanceLocation" : "#",
"keyword" : "type",
"additionalInfo" : {
"expected" : "number",
"actual" : "object"
}
}
]
}
]
}
]
}
Condensed Hierarchy
{
"valid" : false,
"keywordLocation" : "#/allOf",
"instanceLocation" : "#",
"keyword" : "allOf",
"errors" : [
{
"valid" : false,
"keywordLocation" : "#/allOf/0/type",
"instanceLocation" : "#",
"keyword" : "type",
"additionalInfo" : {
"expected" : "array",
"actual" : "object"
}
},
{
"valid" : false,
"keywordLocation" : "#/allOf/1/type",
"instanceLocation" : "#",
"keyword" : "type",
"additionalInfo" : {
"expected" : "number",
"actual" : "object"
}
}
]
}
Flat List
{
"valid" : false,
"errors" : [
{
"valid" : false,
"keywordLocation" : "#/allOf",
"instanceLocation" : "#",
"keyword" : "allOf"
},
{
"valid" : false,
"keywordLocation" : "#/allOf/0/type",
"instanceLocation" : "#",
"keyword" : "type",
"additionalInfo" : {
"expected" : "array",
"actual" : "object"
}
},
{
"valid" : false,
"keywordLocation" : "#/allOf/1/type",
"instanceLocation" : "#",
"keyword" : "type",
"additionalInfo" : {
"expected" : "number",
"actual" : "object"
}
}
]
}
Value format validation
The
JsonSchema
I'm not going to claim that the validation on any of these is perfect, but it will likely suffice for most applications. In the (rare) event that it doesn't support your needs, they are completely overridable. Additionally, if you find a method that works better than what's in the library, feel free to contribute a PR and make the library better for everyone. New formats can be registered via the *IMPORTANT Format implementations MUST not contain state as the same instance will be shared by all of the schema instances that use it. The format
keyword has been around a while. It's available in all of the drafts supported by JsonSchemaFormats
class. Out of the box, these are available:
date
date-time
duration
email
hostname
ipv4
ipv6
iri
iri-reference
json-pointer
regex
relative-json-pointer
uri
uri-reference
uri-template
Formats.Register()
static method. This method will overwrite any existing registration for that format, so this can be used to override the default behavior for known formats. This also makes the format available for deserialization.Options
ValidationOptions
class gives you a few configuration points for customizing how the validation process behaves. It is an instance class and can be passed into the JsonSchema.Validate()
method. If no options are explicitly passed, a copy of JsonSchemaOptions.Default
will be used.
ValidateAs
- Indicates which schema draft to process as. This will filter the keywords of a schema based on their support. This means that if any keyword is not supported by this draft, it will be ignored.ValidateMetaSchema
- Indicates whether the schema should be validated against its $schema
value (its meta-schema). This is not typically necessary.OutputFormat
- You already read about output formats above. This is the property that controls it all. By default, a single "flag" node is returned. This also yields the fastest validation times it enables certain optimizations.


Class: wave
http://purl.org/biotop/btl2.owl#Wave
Annotations (2)
definition
"(wikipedia) disturbance that propagates through space and time, usually with transference of energy"
()
label
"wave"
()
Superclasses (1)
'immaterial object'
Disjoints (3)
'immaterial three dimensional physical entity'
,
'one dimensional physical entity'
,
'two dimensional physical entity'
Usage (1)
Class
:
wave


--- layout: post title: Unit of work in NServiceBus 3.0 date: 2011-11-21 14:56:51.000000000 +01:00 categories: - NServiceBus tags: [] status: publish type: post published: true meta: dsq_thread_id: '479254643' _edit_last: '1' author: login: andreas.ohlund email<EMAIL_ADDRESS>display_name: Andreas Öhlund first_name: Andreas last_name: "Öhlund" ---
When using a framework like NServiceBus there is usually a need to create your own unit of work in order to avoid having to repeat code over an over again in your message handlers. Examples would be committing NHibernate transactions, calling SaveChanges on the RavenDB session, etc etc. In NServiceBus 2.6 your only hook into the message pipeline was the message modules. This had some quirks since the HandleEndMessage method of the message module will be invoked regardless of the outcome and made it hard to decide if a commit or rollback should be performed. In NServiceBus 3.0 there is a new way to do this, meet the IManageUnitsOfWork interface
The semantics are that that Begin() will be called when the transport messages enters the pipeline, remember that a transport message can consist of multiple application messages. This allows you to do any setup that is required. The End() method is called when the processing is complete and if there was an exception that exception will be passed into the method. This gives you a way to perform different actions depending on the outcome of the message(s).
Want to see this in action?
My next post will demonstrate how to build a Unit Of Work implementation for RavenDB so stay tuned...


{% extends 'core/base.html' %} {% block title %}Become vendor | {% endblock %} {% block content %}
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comocma.nondominatedarchive.NonDominatedList(list)
class documentationcomocma.nondominatedarchive
(View In Hierarchy)
A list of objective values in an empirical Pareto front, meaning that no point strictly domminates another one in all objectives.
>>> from nondominatedarchive import NonDominatedList >>> a = NonDominatedList([[1,0.9], [0,1], [0,2]], [2, 2])
| Method | __init__ | elements of list_of_f_tuples not in the empirical front are pruned away reference_point is also used to compute the hypervolume, with the hv module of Simon Wessing. |
| Method | add | add f_tuple in self if it is not dominated in all objectives. |
| Method | remove | remove element f_pair . |
| Method | add_list | add list of f_tuples, not using the add method to avoid calling self.prune() several times. |
| Method | prune | remove point dominated by another one in all objectives. |
| Method | dominates | return True if any element of self dominates or is equal to f_tuple . |
| Method | dominates_with | return True if self[idx] dominates or is equal to f_tuple . |
| Method | dominates_with_old | deprecated code, now taken over by dominates_wit_for |
| Method | dominates_with_for | returns true if self[idx] weakly dominates f_tuple |
| Method | dominators | return the list of all f_tuple -dominating elements in self , |
| Method | in_domain | return True if f_tuple is dominating the reference point, |
| Method | kink_points | Create the 'kink' points from elements of self. If f_tuple is not None, also add the projections of f_tuple to the empirical front, with respect to the axes |
| Method | hypervolume | hypervolume of the entire list w.r.t. the "initial" reference point. |
| Method | contributing_hypervolume | Hypervolume improvement of f_tuple with respect to self. TODO: the argument should be an index, as in moarchiving. |
| Method | distance_to_pareto_front | Compute the distance of a dominated f_tuple to the empirical Pareto front. |
| Method | hypervolume_improvement | return how much f_tuple would improve the hypervolume. |
| Method | _strictly_dominates | return True if any element of self strictly dominates f_tuple . |
| Method | _strictly_dominates_with | return True if self[idx] strictly dominates f_tuple . |
| Method | _projection | Undocumented |
| Method | _projection_to_empirical_front | return the orthogonal projections of f_tuple on the empirical front, with respect to the coodinates axis. |
| Static Method | _random_archive | Undocumented |
| Static Method | _random_archive_many | Undocumented |
| Method | _asserts | make all kind of consistency assertions. |
reference_point
is also used to compute the hypervolume, with the hv
module of Simon Wessing.remove element f_pair
.
Raises a ValueError
(like list
) if f_pair is not in self.
To avoid the error, checking if f_pair is in self first is a
possible coding solution, like
>>> from moarchiving import BiobjectiveNondominatedSortedList >>> nda = BiobjectiveNondominatedSortedList([[2, 3]]) >>> f_pair = [1, 2] >>> assert [2, 3] in nda and f_pair not in nda >>> if f_pair in nda: ... nda.remove(f_pair) >>> nda = BiobjectiveNondominatedSortedList._random_archive(p_ref_point=1) >>> for pair in list(nda): ... len_ = len(nda) ... state = nda._state() ... nda.remove(pair) ... assert len(nda) == len_ - 1 ... if 100 * pair[0] - int(100 * pair[0]) < 0.7: ... res = nda.add(pair) ... assert all(state[i] == nda._state()[i] for i in [0, 2, 3])
Return None
(like list.remove
).
return True
if any element of self
dominates or is equal to f_tuple
.
Otherwise return False
.
>>> from nondominatedarchive import NonDominatedList as NDA >>> a = NDA([[0.39, 0.075], [0.0087, 0.14]]) >>> a.dominates(a[0]) # is always True if `a` is not empty True >>> a.dominates([-1, 33]) or a.dominates([33, -1]) False >>> a._asserts()
return True
if self[idx] dominates or is equal to f_tuple
.
Otherwise return False
or None
if idx
is out-of-range.
>>> from nondominatedarchive import NonDominatedList as NDA >>> NDA().dominates_with(0, [1, 2]) is None # empty NDA True
| Unknown Field: todo | add more doctests that actually test the functionality and not only whether the return value is correct if empty |
returns true if self[idx] weakly dominates f_tuple
replaces dominates_with_old because it turned out to run quicker
return the list of all f_tuple
-dominating elements in self
,
including an equal element. len(....dominators(...)) is hence the number of dominating elements which can also be obtained without creating the list with number_only=True.
>>> from nondominatedarchive import NonDominatedList as NDA >>> a = NDA([[1.2, 0.1], [0.5, 1]]) >>> len(a) 2 >>> a.dominators([2, 3]) == a True >>> a.dominators([0.5, 1]) [(0.5, 1)] >>> len(a.dominators([0.6, 3])), a.dominators([0.6, 3], number_only=True) (1, 1) >>> a.dominators([0.5, 0.9]) []
return True
if f_tuple
is dominating the reference point,
False
otherwise. True
means that f_tuple
contributes to
the hypervolume if not dominated by other elements.
f_tuple
may also be an index in self
in which case
self[f_tuple] is tested to be in-domain.
>>> from nondominatedarchive import NonDominatedList as NDA >>> a = NDA([[2.2, 0.1], [0.5, 1]], reference_point=[2, 2]) >>> assert len(a) == 1 >>> a.in_domain([0, 0]) True >>> a.in_domain([2, 1]) False >>> all(a.in_domain(ai) for ai in a) True >>> a.in_domain(0) True
TODO: improve name?
return True
if any element of self
strictly dominates f_tuple
.
Otherwise return False
.
>>> from nondominatedarchive import NonDominatedList as NDA >>> a = NDA([[0.39, 0.075], [0.0087, 0.14]]) >>> a.dominates(a[0]) # is always True if `a` is not empty True >>> a.dominates([-1, 33]) or a.dominates([33, -1]) False >>> a._asserts()
hypervolume of the entire list w.r.t. the "initial" reference point.
Raise ValueError
when no reference point was given initially.
>>> from nondominatedarchive import NonDominatedList as NDA >>> a = NDA([[0.5, 0.4], [0.3, 0.7]], [2, 2.1]) >>> a._asserts() >>> a.reference_point == [2, 2.1] True >>> a._asserts()
return how much f_tuple
would improve the hypervolume.
If dominated, return the distance to the empirical pareto front multiplied by -1. Else if not in domain, return distance to the reference point dominating area times -1.
make all kind of consistency assertions.
>>> import nondominatedarchive >>> a = nondominatedarchive.NonDominatedList( ... [[-0.749, -1.188], [-0.557, 1.1076], ... [0.2454, 0.4724], [-1.146, -0.110]], [10, 10]) >>> a._asserts() >>> for p in list(a): ... a.remove(p) >>> assert len(a) == 0 >>> try: a.remove([0, 0]) ... except ValueError: pass ... else: raise AssertionError("remove did not raise ValueError")
>>> from numpy.random import rand >>> for _ in range(120): ... a = nondominatedarchive.NonDominatedList._random_archive() ... if a.reference_point: ... for f_tuple in rand(10, 2): ... h0 = a.hypervolume ... hi = a.hypervolume_improvement(list(f_tuple)) ... assert a.hypervolume == h0 # works OK with Fraction
>>> for _ in range(10): ... for k in range(3,10): ... a = nondominatedarchive.NonDominatedList._random_archive_many(k) ... if a.reference_point: ... for f_tuple in rand(10, k): ... h0 = a.contributing_hypervolume(list(f_tuple)) ... hi = a.hypervolume_improvement(list(f_tuple)) ... assert h0 >= 0 ... assert h0 == hi or (h0 == 0 and hi < 0)


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This bundle includes some Console Commands which can be used to for building, destroying and polling your queues as well as sending simple messages.
You can use the uecode:qpush:build command to create the queues on your providers. You can specify the name of a queue as an argument to build a single queue. This command will also warm cache which reduces the need to query the provider’s API to ensure that the queue exists. Most queue providers create commands are idempotent, so running this multiple times is not an issue.:
$ php app/console uecode:qpush:build my_queue_name
Note: By default, this bundle uses File Cache. If you clear cache, it is highly recommended you re-run the build command to warm cache!
You can use the uecode:qpush:destroy command to completely remove queues. You can specify the name of a queue as an argument to destroy a single queue. If you do not specify an argument, this will destroy all queues after confirmation.:
$ php app/console uecode:qpush:destroy my_queue_name
Note: This will remove queues, even if there are still unreceived messages in the queue!
You can use the uecode:qpush:receive command to poll the specified queue. This command takes the name of a queue as an argument. Messages received from this command are dispatched through the EventDispatcher and can be handled by your tagged services the same as Push Notifications would be.:
$ php app/console uecode:qpush:receive my_queue_name
You can use the uecode:qpush:publish command to send messages to your queue from the CLI. This command takes two arguments, the name of the queue and the message to publish. The message needs to be a json encoded string.:
$ php app/console uecode:qpush:publish my_queue_name '{"foo": "bar"}'


To give an element rounded corners, use the class .round-corners
. If you want to remove rounded corners from an element, use a class of .square-corners
.
Please Note: .round-corners
relies on a Bootstrap-defined variable. See documentation for that variable here.
| Group of Classes | CSS border-radius |
|---|---|
.round-corners |
border-radius: $border-radius-base; |
.square-corners |
border-radius: 0; |