Variable
| Static Public Summary | ||
| public |
Injection token for injecting the renderables configuration. |
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| public |
Injection token for injecting the container renderable. |
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| public |
ContextType: {"NONE": string, "LOAD": string} |
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| public |
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| public |
Injection token for the Document API. |
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| public |
Injection token for injecting an HTML element associated with the renderable. |
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| public |
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| public |
Key used to assign the injector to on Renderables. |
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| public |
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| public |
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| public |
Layout: * A layout is a set of renderables scoped to a drag host. |
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| public |
LinkerMetatdataRef: docs/di.js~Token |
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| public |
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| public |
Injection token for injecting the patch method generated by snabbdom. |
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| public |
Injection token for the root configuration used to create a RootLayout |
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| public |
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| public |
Symbol that signifies that an XYItemContainer's ratio is unallocated. |
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ViewComponentRef: docs/di.js~Token |
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uid: * |
Static Public
public ConfigurationRef: Token source
import {ConfigurationRef} from 'ug-layout/common'
Injection token for injecting the renderables configuration.
public ContainerRef: Token source
import {ContainerRef} from 'ug-layout/common'
Injection token for injecting the container renderable.
public ContextType: {"NONE": string, "LOAD": string} source
import {ContextType} from 'ug-layout/common'
public DEFAULT_STACK_HEADER_SIZE: number source
import {DEFAULT_STACK_HEADER_SIZE} from 'ug-layout/stack/StackHeader'
public DocumentRef: Token source
import {DocumentRef} from 'ug-layout/common'
Injection token for the Document API.
public ElementRef: Token source
import {ElementRef} from 'ug-layout/common'
Injection token for injecting an HTML element associated with the renderable.
public INJECTOR_KEY: string source
import {INJECTOR_KEY} from 'ug-layout/dom/RenderableInjector'
Key used to assign the injector to on Renderables.
public Layout: * source
import {Layout} from 'ug-layout/layout/Layout'
A layout is a set of renderables scoped to a drag host.
public LinkerMetatdataRef: docs/di.js~Token source
import {LinkerMetatdataRef} from 'ug-layout/view/common'
public MAX_RATIO_DISTRIBUTION_ITERATIONS: number source
import {MAX_RATIO_DISTRIBUTION_ITERATIONS} from 'ug-layout/XYContainer/XYContainer'
public PatchRef: Token source
import {PatchRef} from 'ug-layout/common'
Injection token for injecting the patch method generated by snabbdom. This allows for custom modules to be added to snabbdom that are not enabled by default.
public RootConfigRef: Token source
import {RootConfigRef} from 'ug-layout/common'
Injection token for the root configuration used to create a RootLayout
public UNALLOCATED: Symbol source
import {UNALLOCATED} from 'ug-layout/common'
Symbol that signifies that an XYItemContainer's ratio is unallocated.
public VIEW_HOOK_METADATA: string source
import {VIEW_HOOK_METADATA} from 'ug-layout/view/hooks/common'
public VIEW_LINKER_METADATA: string source
import {VIEW_LINKER_METADATA} from 'ug-layout/view/common'
public ViewComponentRef: docs/di.js~Token source
import {ViewComponentRef} from 'ug-layout/view/common'


Strictly Come Dancing's nastiest feuds and the snide comment that 'cost one star his job'
From James Jordan's brutal clashes with Craig Revel Horwood to rumoured tensions between Kevin Clifton and Gorka Marquez, there's no shortage of beef on BBC One's Strictly Come Dancing
by Frances KindonTeeth and smiles are the name of the game on Strictly Come Dancing .
But behind the glittery performances, the fur often flies with the judges, pro dancers and celebrity contestants clashing over everything from air time to the score board.

"First of all I want to say that you're tall and elegant and you have everything it takes to do a Rumba before I say what I'm about to say..." she began before Anton interjected, "There's no need to say anymore."
But Shirley wouldn't be stopped.
"The only timing that I could read was the basic - the alemana and the sliding doors... the rest of it I have absolutely no idea on what count you were dancing for this dance," she criticised to the sound of boos.
"There are four beats and three steps - you have to understand that."
"Sometimes there are four steps and three beats," Anton interrupted. "Sometimes there are five steps and seven beats. Sometimes there are no steps!"
Shirley scored them a five, and when Anton and Emma were saved for the dance off, he couldn't help but seemingly stick the knife in, sniping, "I would have hated for us to be in the dance-off on that dance because I thought that Emma danced that beautifully. And so, well done you."
But it's not the first time - and certainly won't be the last - that the tensions of the show have caused a bust-up...
Will Young and Karen Clifton
Will mysteriously quit the show midway through in October 2016 after a judge Len Goodman told him to "turn up, keep up and shut up" in a row over his Bollywood routine.

"I haven't really been in touch with Will since the show," she told the Radio Times in 2017.
"I think everybody understands his reasons and we all understand, but it's hard when there's the other half. It's my job and I love my job and it was really hard for me to stay behind and see everybody have an amazing series and not to be a part of it."
However, a source told The Mirror at the time that Will left in part due to backstage "squabbles" with Karen.
"Karen was just doing her job, she was training him hard but in the end he just didn’t want to keep getting told off and corrected all the time," the insider said.
"It infuriated him. They squabbled a few times during rehearsals and it left him feeling exhausted."
Alexandra Burke and Debbie McGee
Reports claimed Strictly 2017 contestants Alexandra and Debbie were locked in a "bitter rivalry" after both were favoured to win.
“There is real drama between Alexandra and Debbie," a source claimed to The Sun.
"With every week that passes, things become even more strained between them. Neither of them is showing any sign of winding down on this.
“The hardest part of it all is that their dance partners, Giovanni (Pernice) and Gorka (Marquez), are the best of mates."
Debbie fuelled the gossip by hitting out at fake celebs, blasting, “I understand that we can all have favourites.
“But some people who are not very warm in real life come through on TV as very warm.”
However, she later denied beefing with Alexandra, insisting, "We have a really special friendship. It's absolute rubbish."
And Alexandra also poured cold water on that and rumours she'd clashed with her partner Gorka over his budding romance with their co-star Gemma Atkinson.
"I’m telling you, every single [report] isn’t true. It’s laughable," she told Huff Post UK.
"I don’t even know where it comes from."
Brendan Cole and Shirley Ballas
Brendan was sacked from the show in January 2018 and said his "cards were marked" after he mocked Shirley in her first week as head judge - the role he'd had his eye on.
Appearing on BBC2 show It Takes Two, when Zoe Ball asked if he was hoping to impress the newcomer, he sniped, "I’d imagine she’s more likely to be wanting to impress us, I’ve been on the show 15 years, she’s just showed up."
He quickly saw the "error of my ways" and fired off an apology - which he said went unanswered.
“I sent her a message saying, ‘Didn’t mean any offence, just making good telly’. I didn’t get a reply,” he said in John Bishop: In Conversation With.
However, Shirley - who routinely irked Brendan with her critiques of his partner Charlotte Hawkins - insisted there was nothing to see here, thank you very much.
"I don't have any recollection on a personal level of bridges ever being broken or rebuilt between me and Brendan," she told Hello! magazine.
Gorka Marquez and Kevin Clifton
Gorka made no secret of his disappointment when he wasn't given a celebrity partner this year.
And he was even more narked when Kevin Clifton was drafted in to partner Alex Scott after her pro partner Neil Jones injured himself in training.
Kevin had already had a partner in the form of Anneka Rice, who got eliminated in the second week.
Making his feelings known, Gorka retweeted a series of angry fan messages including one that read, "Gorka deserved it not Kevin who already had a partner this year."
“Should have be Gorks not King Kev," read another.
And rumours of a simmering beef between the two dancers first surfaced in August when Kevin ignored Gorka's 'demotion' but sent messages of comfort to their co-star Graziano, who was in the same boat.
Referencing his sister Joanna Clifton, Kevin tweeted his support to Garziano, writing, "Mate, my sister was the same in her second series.
"In her third series she won! You’re one of the best dancers I know so get ready to OWN 2020!"
But when Gorka tweeted about his own lack of partner, fans noticed there was radio silence from Kevin.
James Jordan and Craig Revel Horwood
James and Craig clashed constantly before the former quit the BBC show after being offered a reduced role.
Things got particularly nasty when Craig took offence at James' wife Ola's raunchy Christmas calendar, commenting that images of the Strictly star “pouring milk all over herself with her legs spread" might not be the right look.
James branded him "vile", raging, "How can he say it’s not okay to sell a sexy Christmas calendar, but it is okay to sell his own book telling the world he was a drunken rent boy, and call it All Balls and Glitter."
In return, Craig accused his nemesis of trying to drum up headlines, and this year James called for him to be sacked from Strictly.
"The show doesn't need Craig. He should go. If Craig was gone they wouldn't notice any difference at all. The viewers wouldn't miss him either. No-one would miss him," he raged to the Daily Star.


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UKCloud Limited (“UKC”) and Virtual Infrastructure Group Limited (“VIG”) (together “the Companies”) – in Compulsory Liquidation
On 25 October 2022, the Companies were placed into Liquidation with the Official Receiver appointed as Liquidator and J Robinson and A M Hudson simultaneously appointed as Special Managers to manage the liquidation process on behalf of the Official Receiver.
Further information regarding the Liquidations can be found here: https://www.gov.uk/government/news/virtual-infrastructure-group-limited-and-ukcloud-limited-information-for-creditors-and-interested-parties
Contact details:
For any general queries relating to the Liquidations please email<EMAIL_ADDRESS>For customer related queries please email<EMAIL_ADDRESS>For supplier related queries please email<EMAIL_ADDRESS>Private Cloud
What private cloud services does UKCloud offer?
UKCloud offers a variety of private cloud products for those organisations with workloads that need to be in a single-tenant environment.
The following provides a brief overview of our managed operations products; click the links for further details.
- Private Cloud. A high assurance, cost-effective alternative to hosting and managing your own compute and storage infrastructure. This secure single-tenant cloud platform provides physical hardware separation and isolation from other customers. Offered on a choice of technology stacks, including VMware, Microsoft Azure Stack, Oracle Virtual Machine, Oracle Cloud at Customer or Red Hat OpenStack implementations. We can deploy Private Cloud in either of our UK data centres to gain the benefits of our Assured and Elevated security domains, within the Crown Campus or within your own data centre.
- Private Cloud for Oracle Software. Enables you to have private implementations of Oracle's Engineered Systems within UKCloud's assured, sovereign data centres, Crown Hosting Data Centres or even on premises. It enables you to have a tailored Oracle environment specifically for the high performance or big data analytical platforms that are proprietary to Oracle, while connecting to workloads that you have within the rest of our multi-cloud ecosystem.
- Private Cloud Storage. Provides a secure single-tenant storage platform that is a cost-effective alternative to hosting and managing your own storage infrastructure. Designed to be deployed as part of a larger solution to include genuine multi-cloud services such as UKCloud for VMware and UKCloud for OpenStack, this service enables you leverage the benefits of the UKCloud platform, even on infrastructure that is entirely dedicated to your organisation.
- Dedicated Compute v2. A flexible solution designed for when you need guaranteed performance. This service delivers exceptional performance through dedicated compute hosts and meets your security obligations by addressing compliance and regulatory requirements through physical separation of workloads. Hosts are assigned for your sole use and are enabled for granular configuration to meet your workload requirements.
Let's get started!
For in-depth product details, see the appropriate Service Scope.
Want to know more?
Find answers to common questions in our FAQs for Private Cloud and Private Cloud Storage. Use the table of contents on the left to browse all private cloud articles or use the search box at the top to search the whole Knowledge Centre.
For more information about UKCloud and how we work, browse our website.
How to buy
The UKCloud Pricing Guide lists all our product pricing. If you're interested in buying any of UKCloud's private cloud products, or would like a quote:
If you're already a UKCloud customer
Raise a Service Request, contact your Service Delivery Manager or email<EMAIL_ADDRESS>If you're new to UKCloud
Contact us via our website or call us on 01252 303 300
Additional options
To get the most out of our platform, see below for some additional options and products you might want to consider using with your private cloud solution (additional charges apply).
Product options
Complementary products
Automated VM backup. Provides the peace of mind that VMs on your private hosts are backed up in the event of a failure.
Site replication and failover. For solutions with private hosts on two separate regions on the UKCloud platform.
Managed IT Operations. Reduce the amount of time spent on managing your IT infrastructure.
Security Operations Service. People, processes and tooling to assist with cyber monitoring capabilities.
Professional Services. Help with solution design and digitisation projects.
Cross Domain Security Zone. Enable data communication between assured and elevated security domains.
Cloud Storage. Cost effective unstructured object storage for data archive.
If you want to find out more about any of these options or products, contact your Service Delivery Manager or email<EMAIL_ADDRESS>Why UKCloud?
The right cloud for every platform. Modernise legacy workloads across the board by rehosting traditional systems with UKCloud for VMware or exploring new and emerging technologies with OpenShift. We can help you build a cloud specific to your needs.
An award-winning customer experience. The customer sits at the heart of everything we do. Whether that's through our 24/7 support function – a service we provide at no extra charge – or by giving every single one of our customers a dedicated Service Delivery Manager.
Dedicated to the public sector. From our unique assurance and connectivity options to the people we employ – everything we do comes back to our mission to help public sector organisations deliver better digital services at a lower cost.
Uncompromising security and integrity. Our UK-based data centres help protect your organisation from regulations such as GDPR, whilst our unique assurance and connectivity options enable you to move your most secure and sensitive systems to the cloud.
Champions of innovation. We've partnered with over 300 specialist organisations who have built their pioneering digital services on top of our government-grade infrastructure. From AI to RPA, our partner ecosystem has you covered.
Committed to doing the right thing. From paying our taxes to undergraduate and apprentice programmes. From Carbon Neutral solutions to charity work. Everything we do can be traced back to our commitment to doing the right thing.


NIF Objects | Compound Types | Enum Types | Basic Types | File Versions
| Number | Name | Description |
|---|---|---|
| 0 | PS_LOOP_CLAMP_BIRTH | Key times map such that the first key occurs at the birth of the particle, and times later than the last key get the last key value. |
| 1 | PS_LOOP_CLAMP_DEATH | Key times map such that the last key occurs at the death of the particle, and times before the initial key time get the value of the initial key. |
| 2 | PS_LOOP_AGESCALE | Scale the animation to fit the particle lifetime, so that the first key is age zero, and the last key comes at the particle death. |
| 3 | PS_LOOP_LOOP | The time is converted to one within the time range represented by the keys, as if the key sequence loops forever in the past and future. |
| 4 | PS_LOOP_REFLECT | The time is reflection looped, as if the keys played forward then backward the forward then backward etc for all time. |


Notebooks
Story: Wind and stars
Wind and stars
Title
Wind and stars
Collection
Summary
The winds which are supposed to appertain to different persons. (L VIII.-28. 8459-8465). After the wind has blown and dies, the place becomes warm from the sunshine (its 'eye' is warm). The wind becomes cold when a man kills an animal (the killed thing's wind) and the people say that his wind is cold. When it is hot the wind is gentle and not strong like the other.
Comments
1) p.8458v: |han≠kass'o heard this story from his maternal grandfather (Tsatsi), 2) p.8459v: the Pleiades, or summer stars, and the 'killed thing's wind', 3) p.8460v: the star's wind, 4) p.8461v: the wind that is throwing up dust, 5) p.8462v: the star Canopus (or |ßko a gu), 6) This story is found in Book VIII-28
Contributors
|han≠kass'o (Klein Jantje) (VIII)
Date
1 – 2 June 1879
Categories
Celestial bodies and aeroscopy
Keywords
wind (and stars) , wind (that is warm blows softly) , wind (that is pleasant) , wind (that gently blows) , wind (that blows up dust) , wind (of the stars) , wind (and hunting) , wind (of the 'killed things') , wind (of the man who kills things) , wind (and the Pleiades) , wind (and the sun) , wind (that is still) , wind (that dies) , wind (different kinds of) , wind (and the times of year) , wind (and the seasons) , wind (that is warm or cold) , wind (that blows strongly) , wind (when it does not blow) , sun (when 'obstinately hot') , sun (and the wind and stars) , sun (its 'eye') , sun (and the Pleiades) , sun (and summer) , stars (wind and) , stars ('their wind does not a little blow') , stars (their wind is cold) , stars (and the cold 'killed things' wind) , stars (the Pleiades) , stars (Canopus) , stars (that come out in summer) , stars (and the sun) , stars (and the man who kills things) , stars (that are cold or warm) , stars (and hunting) , Pleiades (and wind and stars) , Pleiades (are summer's things or stars) , Pleiades (and the sun) , hunting (and the wind and the stars) , hunting (and the 'killed things' wind) , hunting (and the wind of the man who kills things) , names (of stars) , names (of different winds) , names (wind and stars) , dust (wind that blows up) , dust (wind and stars)
Story Pages
8459-8465


--- layout: post title: Up on the 74 tags: - photos status: publish type: post published: true meta: _edit_last: '2' ---


Username is too short. (min 3 characters)
Username is too long. (max 32 characters)
(3 to 32 characters long)
Password is too short. (min 6 characters)
(At least 6 characters long)
Would you like to change the zones/planets that are enabled?


You can group several remote calls together using a batch. This saves on round trips to the server so there is much less latency involved.
A batch is started with dwr.engine.beginBatch()
and ended with dwr.engine.endBatch()
. When endBatch()
is called, we are finished grouping a set of remote calls together, so DWR executes them in a single round trip to the server.
DWR takes care of ensuring that all the callbacks are called so you can turn batching on and off transparently. Just don't forget to call endBatch()
or all your remote calls will be queued for ever.
Clearly there are some side effects of batching a number of calls together. It would be impossible to be synchronous and batched at the same time for example.
All the call object options like hooks, timeouts and errorHandlers are done at a batch level rather than a call level. So if in a single batch you have 2 calls with different timeout values then all but the last will be ignored.


Trees Lounge (1996) A film review by Christopher Null Copyright 1996 Christopher Null
Get this tagline for TREES LOUNGE: "A story about one man's search... for who knows what." That could describe quite well writer/director/star Steve Buscemi during his creation of this film, a quirky and melodramatic tragicomedy about... who knows what.
Buscemi plays Tommy, a regular guy in Long Island whose life is basically a series of alcoholic binges, sprinkled with failed love affairs, cheap drugs, and terminal unemployment. A parade of supporting characters (all played by Buscemi's personal friends) run in and out of his life, and everyone tries to make some sense of it all.
The Trees Lounge is the unfortunately-named bar where Tommy spends virtually all of his time. It's the kind of joint where a guy can walk into one night and come back out 20 years later, wondering where his life went. It's the kind of place you can almost smell -- or maybe that was just the movie theater's goo-encrusted floor.
I get the feeling that TREES LOUNGE is the movie that all filmmakers are secretly dying to make -- a personal portrait of simple life, nothing but depression all the way. The reason this kind of movie doesn't get made more often is because (1) no studio in their right mind would let someone do such a thing [case in point: TREES LOUNGE is being released by the only-recently-out-of-bankruptcy Orion Pictures], and (2) when you get down to brass tacks, not many people *really* want to make a movie about someone that's more pathetic than they are.
Still, I've got to admire Buscemi for doing it anyway. Buscemi has complained in interviews about having trouble writing the script for TREES LOUNGE, and it shows, but at least he doesn't let the self-pity get too thick, applying liberal doses of comedy to counter the tragic underscore of the film. Overall, he ends up with a picture that isn't half bad, but which just doesn't make for a light matinee and *certainly* isn't "fun for the whole family."
As a director, Buscemi isn't awful, but he isn't great. As far as his casting choices, they're fine, except for his breaking of the cardinal rule that Daniel Baldwin should never be allowed to be in a movie. Chloe Sevigny (KIDS) is a fun Lolita, and minor roles like Bronson Dudley's eternal barfly are a scream, and they really show Buscemi's knack for comedy. Let's hope he explores this a little more in his next offering.
P.S. Be sure to watch for the cameo by the faux-Reservoir Dogs (it's in the first five minutes).
RATING: ***1/2
|------------------------------| \ ***** Perfection \ \ **** Good, memorable film \ \ *** Average, hits and misses \ \ ** Sub-par on many levels \ \ * Unquestionably awful \ |------------------------------|
-Christopher Null /<EMAIL_ADDRESS>/ Writer-Producer -Visit The Movie Emporium at http://www.filmcritic.com/ -and Null Set Productions at http://www.filmcritic.com/nullset.htm
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Leah Pryor-Lease
Democrat
Program Director at Proteus Fund
BA in sociology from Brandeis University; completed study in the Master's of Nonprofit Management program at Regis University
80222
• 2018 - $50 to Ashley Wheeland (candidate for state rep) • 2020 - $50 to Women’s Lobby
• Denver LGBTQ Commission 2014 – Present • Movement Advancement Project Board 2018 - Present • New Era CO Board 2019 - Present
The mission of the LGBTQ Commission is to serve as a liaison from the LGBTQ community to the Mayor of Denver on issues important to our community. I also began my career as an advocate for homeless youth and youth aging out of foster care, a role I have been able to continue as a commissioner. Less formally, I have volunteered on several projects to provide insight on how the Jewish community can be a more inclusive space for LGBTQ members and people of color, both at the local JCC and at my children’s preschool housed at Temple Sinai.
Having spent the last several years working for philanthropic organizations who are committed to investing in creating and maintaining a fair and inclusive democracy, it has become clear to me that good government is one that is responsive to the communities and it is the duty of everyday citizens to be involved in making sure that happens. One of the best ways I have seen this work is by reforming the tools that have allowed parties to rig the rules in their favor. Gerrymandering has created maps where too much power has been tilted toward the parties in charge and away from the voters and is a great example of how some can take processes that are technically legal, but fundamentally unfair, and cement power for generations. The people are not served well by closed processes that exacerbate divisiveness. Having fairly drawn maps is central to ending extremism and gridlock and will ensure that people have a fair say in represents them. Colorado has some of the best democratic processes in the country and reforming the processes for redistricting will be a huge piece of creating a better functioning and reflective government. On a more personal note, I have been proud to call Colorado home for almost 10 years, even though it did not seem like the most obvious fit at the time for a Black biracial Jewish queer woman who had just had my marriage legally recognized back on the East Coast where I am from. Yet my wife and I have been able to raise a family and create a home here for our twins. As a parent, I feel it is my responsibility help build the kind of society I want to leave behind for my children. I also want to model this responsibility to give back the way my mother and my mentors modeled it for me through their work, activism, and civic engagement. As a person from a very diverse background, I was very lucky to have people in my life who taught me the importance of representation and how real change can happen when someone like you is in a position to shape the systems that impact your life. Our communities deserve to have representation that reflects their experiences, identities, and values. I believe it is our duty as citizens to be informed and to be involved to the best of our ability. I appreciate all the previous efforts made to get Colorado a fair redistricting process and now the onus is on us to make sure that process is successful, and I would be honored to be part of that work.
As chair of the LGBTQ Commission, I was tasked with leading a very diverse group toward joint goals meant to better the lives of all Denverites. Much of that work was bringing together very disparate views of and visions for the world. My role was to make sure all views were heard and respected and to allow each commissioner to teach and also learn from one another. Ultimately, when people were able to share their view, we were able to focus on our big shared values and come together for the good of the city. So much of our perceived divisiveness often came from a lack of understanding. By keeping our work centered in the commonalities that brought us together led to significant changes that improved the lives of countless LGBTQ residents. Finding consensus is also a key feature of my work leading a donor collaborative. I bring together teams of grantees in the states and a group of foundation partners. All of these people and organizations come to the table with very different priorities, theories of change, and issue silos. My work is to help facilitate the joining of these ideals and create a strategic plan that works for all. While some might feel the work of “serving too many masters” is counterproductive, my experience has taught me that, when done well, it can lead to exponentially stronger outcomes.
As a grantmaker, logic and reason are some of the most useful tools in my toolbox. When making large financial decisions with a limited pool of resource, my “gut” has to be backed up by data in order to make a compelling argument to funders that my recommendation is the best use of their funds. I then have to be able to take that data back to grantee partners and develop plans to move our work forward together. Being trusted to play this role is a privilege, one I take very seriously, and one I have earned by being an honest broker and making the best decisions I am able to with the information available to me.
female


Standard List Item is used for less complex datasets (for example, when the user selects an item in a
dialog). It consists of an optional image, a title, description, and a single info text, which can contain
semantic information. This component makes use of list-item directive present
in fundamental-ngx/core and has additional enhancements on top of it.
Platform specific enhancements:
-
Standard-List-item is implemented as Angular component to hide complexity of dealing with HTML in order
to deliver high-order component.
-
Alignment of sub elements title, icons, secondary, footer, group header, counter, navigation,
multi-select are abstracted.
- Selection modes '', single and multi options along with features are provided.
- Byline features are introduced.
- Supports both imperative and declarative way of accepting the items for all the list variants.


for programming related inquiries<EMAIL_ADDRESS>for philosophy related inquiries<EMAIL_ADDRESS>looking forward to hearing from you! :)
You can never know for sure when I'll be available to chat, so here's my personal assistant Abwid who you can send questions to about me in the meantime.
Props to Arkanath Pathak for crafting this beautiful creation.


History of the C64
The Commodore 64 (C64) is an 8-bit home computer introduced in January 1982 by Commodore International. The combination of clever technology and innovative sales strategies helped to make it the highest-selling single computer model of all time with independent estimates placing the number sold between 10 and 17 million units. The C64 dominated the low-end computer market for most of the 1980s and introduced a whole generation of people to the idea of a home computer. This long and successful run made it attractive to software developers with approximately 10,000 commercial software titles released for the C64 including development tools, office productivity applications, and (most importantly) video games.
The Commodore 64 by The 8-Bit Guy
Commodore 64 Story & Review by Nostalgia Nerd
Read other posts


J Wesley Hair is a private hair studio located in the heart of West Hollywood, on the world famous Sunset Strip. We believe in using the world's most sustainable products while delivering the greatest performance in grey coverage and multi-dimensional hair coloring.


Assumed Office:
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Education:
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bT&a
Barbara Tolley
& Associates
Literary Scouts
·
80 5th Avenue
Suite 1003
New York, NY
10011
China: South China Publishing Group
Country: Company
Children Only:
Country: Company
Country: Company


Straightforward navigation level by level by using of SelectDetailLevel handler.
Context values (any objects) are passed from level to level and available via context variables.
Level to go to can be set via "level" or "step" attribute (default is step=1 if nothing specified).
Text for breadcrumb items is set by "levelLabel" attribute or "label" facet of MasterDetailLevel component.
Attention: You have to reference the pe:masterDetail in the "update" attribute of command components
manually if you have any auto updatable components, such as p:growl or p:message with p:autoUpdate, on the page.
${showcase:getFileContent('/sections/masterDetail/example-basicNavigation.xhtml')}
${showcase:getFileContent('/org/primefaces/extensions/showcase/controller/masterdetail/SimpleMasterDetailController.java')}
${showcase:getFileContent('/org/primefaces/extensions/showcase/model/masterdetail/Sport.java')}
${showcase:getFileContent('/org/primefaces/extensions/showcase/model/masterdetail/Country.java')}
${showcase:getFileContent('/org/primefaces/extensions/showcase/model/masterdetail/League.java')}


InfoPopper
Team
The developer team is constantly looking for new members. If you want to contribute, please don't hesitate to contact us or simply just join us on our IRC channel #beosimkit on irc.freenode.org
As we are all using ZETA, we hope that there are someone that can help us out compiling a BeOS version of InfoPopper.
Mikael Eiman (m_eiman) - Project Leader
Michael Davidson (slaad) - Developer
Andrea Anzani (xeD) - Developer
Nathan Whitehorn (NathanW) - Developer, BeOS R5 version
Jörn Weigend (Das_Jott) - Developer, InfoPopper Settings
Frank Paul Silye (frankps) - Documentation
Thanks to ...
We would like to thank David Reid and BeClan for hosting this project.
As InfoPopper Settings is developed with YAB, a special thanks also goes to Team-Maui for their YAB Interpreter.


Circumflex ORM is an Object-Relational Mapping (ORM) framework for creating fast, concise and efficient data-centric applications with elegant DSL.
The term «Object-Relational Mapping» refers to the technique of mapping a data representation from an object model to a relational data model. ORM tools may significantly speed up development by eliminating boilerplates for common CRUD operations, making applications more portable by incapsulating vendor-specific SQL dialects, providing object-oriented API for querying, allowing transparent navigation between object associations and much more.
There's a couple of things you need to do in order to get started with Circumflex ORM.
First, make sure that circumflex-orm-<version>.jar
is in the classpath. The easiest way to do so is to add corresponding dependency
to your pom.xml
:
<properties>
<cx.version><!-- desired version --></cx.version>
</properties>
<dependencies>
<!-- Circumflex ORM -->
<dependency>
<groupId>ru.circumflex</groupId>
<artifactId>circumflex-orm</artifactId>
<version>{cx.version}</version>
</dependency>
</dependencies>
Second, configure database access by specifying following configuration parameters:
orm.connection.driver
— fully-qualified class name of JDBC Driver of your database vendor;orm.connection.url
— URL for database communication (read the documentation of your database vendor for more information);orm.connection.username
and orm.connection.password
— database account data which will be used to obtain JDBC connections.Here's the example cx.properties
file:
orm.connection.driver=org.postgresql.Driver
orm.connection.url=jdbc:postgresql://localhost:5432/mydb
orm.connection.username=myuser
orm.connection.password=mypassword
Please refer to Circumflex Configuration API for more information on how to configure your application.
All code examples assume that you have following import
statement in code where necessary:
import ru.circumflex.orm._
Applications built with Circumflex ORM usually operate on following abstractions:
Record
— wraps a row in a database Table
or View
, encapsulates the database access and adds domain logic on that data;Relation
— encapsulates database object (Table
or View
) for corresponding Record
and adds methods for querying, manipulating and validating its data;Field
— corresponds to atomic data unit inside Record
or database column in Table
;Association
— incapsulates Field
which links one type of Record
with another, this relationship is expressed by foreign keys in the database;Query
— communicates with database either for data retrieval or data manipulation;SchemaObject
— represents an abstract database object (such as trigger, index, constraint or stored procedure); tables and views are database objects, too.The process of creating the domain model of application is refered to as data definition. It usually involves following steps:
Record
;Relation
traits (Table
or View
);Here's a simple example of fictional domain model:
class Country extends Record[String, Country] {
val code = "code".VARCHAR(2).NOT_NULL
val name = "name".TEXT.NOT_NULL
def PRIMARY_KEY = code
def relation = Country
}
object Country extends Country with Table[String, Country]
In this example the Country
table will have two fields, code
and name
. The first type parameter, String
, designates the type of primary key (we refer to this type as PK
). The second type parameter points to class itself to ensure type safety. The Record
class has two abstract methods which should be implemented: PRIMARY_KEY
and relation
.
The PRIMARY_KEY
method points to Field
which type matches PK
(String
in our example). Primary key uniquely identifies a record in database table. Unfortunately, Circumflex ORM does not support composite primary keys yet.
The relation
points to companion object which corresponds to record. It must have the same name as record class and should extend a record itself to inherit all its fields.
The body of record class contains field definitions. A field should be a public immutable (val
) member of record class. Each field corresponds to a column in database table.
As the example above shows, the syntax of field definition closely resembles classic DDL for generating database schema for tables: you specify the column name with String
, then you call one of the methods to create a field of certain type, then you optionally call one of methods that change the definition of target column.
Generally, spaces may be used to delimit method calls and improve readability of column definitions. However, sometimes Scala compiler forces you to use dot-notation:
val name = "name".TEXT.NOT_NULL
Following methods are used to create field definitions:
| Method | SQL type | Scala type | Implementing class |
|---|---|---|---|
INTEGER |
INTEGER |
Int |
IntField |
BIGINT |
BIGINT |
Long |
LongField |
DOUBLE(precision: Int, scale: Int) |
NUMERIC(p, s) |
Double |
DoubleField |
NUMERIC(precision: Int, scale: Int
roundingMode: BigDecimal.RoundingMode.RoundingMode) |
NUMERIC(p, s) |
scala.math.BigDecimal |
NumericField |
TEXT |
TEXT |
String |
TextField |
VARCHAR(length: Int) |
VARCHAR(l) |
String |
TextField |
BOOLEAN |
BOOLEAN |
Boolean |
BooleanField |
DATE |
DATE |
java.util.Date |
DateField |
TIME |
TIME |
java.util.Date |
TimeField |
TIMESTAMP |
TIMESTAMP |
java.util.Date |
TimestampField |
In the table above the default SQL types show the types defined in default dialect, which can be overriden in vendor-specific dialects. Besides it is possible to define a field with custom SQL type by subclassing the Field
class. Refer to Circumflex ORM API documentation for details.
Since version 2.0 genearated columns will not have NOT NULL
constraints by default (this behavior is consistent with SQL specifications). You should call NOT_NULL
method to express NOT NULL
constraint in column definition:
val mandatory = "mandatory".TEXT.NOT_NULL
val optional = "optional".TEXT
You can optionally initialize a field with value with NOT_NULL
:
val createdAt = "created_at".TIMESTAMP.NOT_NULL(new Date)
You can also specify the default expression for the field, it will be rendered in database column definition:
val radius = "radius".NUMERIC.NOT_NULL
val square = "square".NUMERIC.NOT_NULL.DEFAULT("PI() * (radius ^ 2)")
You can also create a single-column unique constraint using the UNIQUE
method:
val login = "login".VARCHAR(64).NOT_NULL.UNIQUE
Fields operate with values. The syntax for accessing and setting values is self-descriptive:
val age = "age".INTEGER // Field[Int, R]
// accessing
age.value // Option[Int]
age.get // Option[Int]
age() // Int
age.getOrElse(default: Int) // Int
age.null_? // Boolean
// setting
age := 25
age.set(25)
age.set(Some(25))
age.set(None)
age.setNull
It is a good practice to place domain-specific logic inside record classes. The following example shows the most trivial case: overriding toString
and providing alternative constructor:
class Country extends Record[String, Country] {
def PRIMARY_KEY = code
def relation = Country
// Constructor shortcuts
def this(code: String, name: String) = {
this()
this.code := code
this.name := name
}
// Fields
val code = "code" VARCHAR(2) DEFAULT("'ch'")
val name = "name" TEXT
// Miscellaneous
override def toString = name.getOrElse("Unknown")
}
Relation is defined as a companion object for corresponding record. As mentioned before, the relation object should have the same name as its corresponding record class, should extend that record class and should mix in one of the Relation
traits (Table
or View
):
class Country extends Record[String, Country] {
def relation = Country
// ...
}
object Country extends Country with Table[String, Country]
You can place the definitions of constraints and indexes inside the body of relation, they should be public immutable (val
) members of relation:
object Country extends Country with Table[String, Country] {
// a named UNIQUE constraint
val codeKey = CONSTRAINT("code_uniq").UNIQUE(this.code)
// a UNIQUE constraint with default name
val codeKey = UNIQUE(this.code)
// a named CHECK constraint:
val codeChk = CONSTRAINT("code_chk").CHECK("code IN ('ch', 'us', 'uk', 'fr', 'es', 'it', 'pt')")
// a named FOREIGN KEY constraint:
val fkey = CONSTRAINT("eurozone_code_fkey").FOREIGN_KEY(EuroZone, this.code -> EuroZone.code)
// an index:
val idx = "country_code_idx".INDEX("LOWER(code)").USING("btree").UNIQUE
}
Consult Circumflex ORM API Documentation for other definition options.
The relation object is also the right place for various querying methods:
object User extends Table[Long, User] {
def findByLogin(l: String): Option[User] = (this AS "u").map(u =>
SELECT(u.*).FROM(u).WHERE(u.login LIKE l).unique)
}
See querying, data manipulation and Criteria API sections for more information.
Circumflex ORM allows you to use database-generated identifiers as primary keys. Let's take a look at following data definition snippet:
class City extends Record[Long, City] with IdentityGenerator[Long, City] {
val id = "id".BIGINT.NOT_NULL.AUTO_INCREMENT
val name = "name".TEXT.NOT_NULL
def PRIMARY_KEY = id
def relation = City
}
object City extends City with Table[Long, City]
This snippet shows a surrogate primary key example. The value of id
is generated when a record is inserted. Then additional SQL select is issued to read this generated value.
For more information refer to Circumflex ORM API Documentation.
An association provides a way to link one relation with another.
class City extends Record[Long, City] {
val country = "country_code".TEXT.REFERENCES(Country).ON_DELETE(CASCADE).ON_UPDATE(NO_ACTION)
}
As the example above shows, associations are created from fields using the REFERENCES
method. The type of the field must match the type of primary key of referenced relation.
Associations also implicitly add foreign key constraint to table's definition. The cascading actions can be specified by invoking ON_DELETE
and ON_UPDATE
with one of the following arguments:
NO_ACTION
(default),CASCADE
,RESTRICT
,SET_NULL
,SET_DEFAULT
.Associations are directed: the relation that owns an association is often refered to as a child relation, while the relation to which an associations references is often refered to as a parent relation.
Like with regular field, you can set an retrieve the association's value:
// accessing
country.value // Option[Country]
country.get // Option[Country]
country() // Country
country.getOrElse(default: Country) // Country
country.null_? // Boolean
// setting
country := switzerland
country.set(switzerland)
country.set(Some(switzerland))
country.set(None)
country.setNull
Associations do not store objects themselves. Instead they store the primary key of an object in their internal field. You can access and set this value directly using the field
method:
country.field // Field[String, R]
country.field := "ch"
When you access association using its get
, apply
, value
or getOrElse
methods, the actual record is returned from cache of current transaction. However, if record does not exist in cache yet, a transparent SQL select will be issued to fetch this record. This technique is usually refered to as lazy initialization or lazy fetching:
val c = new City
c.id := 16
c.country() // a SELECT query is executed to retrieve a Country
// for the City with id = 16
c.country() // further selects are not issued
The other side of association can optionally define an inverse association using following syntax:
class Country extends Record[String, Country] {
def cities = inverseMany(City.country)
}
Inverse associations are not represented by field in their relation, they are initialized by issuing the SELECT
statement against child relation:
val c = new Country
c.code := 'ch'
c.cities() // a SELECT query is executed to retrieve a set of City objects
// which have country_code = 'ch'
c.cities() // further selects are not issued
Here we have the so-called «one-to-many» relationship. The «one-to-one» relationship is simulated by placing a unique constraint on association (in child table) and using inverseOne
in parent table.
You can also perform association prefetching for both straight and inverse associations using the Criteria API.
A record can be optionally validated before it is saved into database.
The validation is performed using one or more validators, functions which take a Record
and return Option[Msg]
: None
if validation succeeds or Some[Msg]
otherwise. In case of failed validation the Msg
object is used to describe the exact problem. Refer to Circumflex Messages API Documentation to find out how to work with messages.
Validators are added to the validation
object inside relation:
object Country extends Table[String, Country] {
validation.add(r => ...)
.add(r => ...)
}
There are several predefined validators available for your convenience:
object Country extends Table[String, Country] {
validation.notNull(_.code)
.notEmpty(_.code)
.pattern(_.code, "(?i:[a-z]{2})")
}
A record is validated when either validate
or validate_!
is invoked. The first one returns Option[MsgGroup]
:
rec.validate match {
case None => ... // validation succeeded
case Some(errors) => ... // validation failed
}
The second one does not return anything, but throws ValidationException
if validation fails.
The validate_!
method is also called when a record is being saved into database, read more in Insert, Update & Delete section.
It is also fairly easy to implement custom validators. Following example shows a validator for checking unique email addresses:
object Account extends Table[Long, Account] {
validation.add(r => criteria
.add(r.email EQ r.email())
.unique
.map(a => new Msg(r.email.uuid + ".unique")))
}
Database schema scripts are generated with DDLUnit
. You can use this class to create and drop database objects programmatically:
val ddl = new DDLUnit(Country, City)
// drop objects
ddl.DROP
// create objects
ddl.CREATE
// drop and then create objects
ddl.DROP_CREATE
DDLUnit
creates objects in the following order:
Respectively, drop script works with objects in a reverse order.
After the execution, DDLUnit
produces messages
.
You can also setup maven-cx-plugin
to export the schema for your Maven project within a build profile. Read more on Circumflex Maven Plugin page.
A precise request for information retrieval from database is often refered to as query. There are various ways you can query your data with Circumflex ORM:
All data retrieval queries derive from the SQLQuery[T]
class. It defines following methods for query execution:
list()
executes a query and returns Seq[T]
;unique()
executes a query and returns Option[T]
, an exception is thrown if more than one row is returned from database;resultSet[A](actions: ResultSet => A)
executes a query and passes JDBC ResultSet
object to specified actions
function, the result is determined by that function.Select queries are used to retrieve records or arbitrary projections with neat object-oriented DSL which closely resembles SQL syntax:
// prepare relation nodes which will participate in query:
val co = Country AS "co"
val ci = City AS "ci"
// prepare a query:
val q = SELECT (co.*) FROM (co JOIN ci) WHERE (ci.name LIKE "Lausanne") ORDER_BY (co.name ASC)
// execute a query:
q.list // returns Seq[Country]
The Select
class provides functionality for select queries. It has following structure:
SELECT
clause — specifies a projection which determines the actual result of query execution;FROM
clause — specifies relation nodes which will participate in query;WHERE
clause — specifies a predicate which will be used by database to filter the records in result set;ORDER_BY
clause — tells database how the result set should be sorted;GROUP_BY
clause — specifies a subset of projections which will be used by database for grouping;HAVING
clause — specifies additional predicate which will be applied by database after grouping;LIMIT
clause and OFFSET
clause — tell database to return a subset of result set and specify it's boundaries;RelationNode
wraps a Relation
with an alias
so that it can be a part of FROM
clause of database query.
Relation nodes are represented by the RelationNode
class, they are created by calling the AS
method of Relation
:
val co = Country AS "co"
// fetch all countries
SELECT (co.*) FROM (co) list
A handy map
method can be used to make code a bit clearer:
// fetch all countries
SELECT (co.*) FROM (co) list
Relation nodes can be organized into query trees using joins.
Projection reflects the type of data returned by query. Generally, it consists of expression which can be understood in the SELECT
clause of database and a logic to translate the corresponding part of result set into specific type.
Projections are represented by the Projection[T]
trait, where T
denotes to the type of objects which should be read from result set. Projections which only read from single database column are refered to as atomic projections, they are subclassed from the AtomicProjection
trait. Projections which span across multiple database columns are refered to as composite projections, they are subclassed from the CompositeProjection
trait and consist of one or more subProjections
.
The most popular projection is RecordProjection
, it is designed to retrieve records. The *
method of RelationNode
returns a corresponding RecordProjection
for relation.
You can also query single fields, Field
is converted to FieldProjection
implicitly when called against RelationNode
:
val ci = City AS "ci"
(SELECT (ci.id) FROM ci).list // returns Seq[Long]
(SELECT (ci.name) FROM ci).list // returns Seq[String]
You can also query a pair of two projections with following syntax:
val co = Country AS "co"
val ci = City AS "ci"
SELECT (ci.* -> co.*) FROM (co JOIN ci) list // returns Seq[(Option[City], Option[Country])]
Another useful projection is AliasMapProjection
:
val co = Country AS "co"
val ci = City AS "ci"
SELECT(ci.* AS "city", co.* AS "country").FROM(co JOIN ci).list // returns Seq[Map[String, Any]]
In this example the query returns a set of maps. Each map contains a City
record under city
key and a Country
record under the country
key. The SELECT
clause accepts arbitrary quantity of projections.
You can even use arbitrary expression which your database understands as long as you specify the expected type:
SELECT(expr[java.util.Date]("current_timestamp")).unique // returns Option[java.util.Date]
There are also some predefined projection helpers for your convenience:
COUNT
;COUNT_DISTINCT
;MAX
;MIN
;SUM
;AVG
.For example, following snippet will return the count of records in the City
table:
(City AS "ci").map(ci => SELECT(COUNT(ci.id)).FROM(ci).unique)
You can easily implement your own projection helper. For example, if you use SQL substring
function frequently, you can «teach» Circumflex ORM to select substrings.
Here's the code you should place somewhere in your library (or utility singleton):
object MyOrmUtils {
def SUBSTR(f: TextField, from: Int = 0, length: Int = 0) = {
var sql = "substring(" + f.name
if (from > 0) sql += " from " + from
if (length > 0) sql += " for " + length
sql += ")"
new ExpressionProjection[String](sql)
}
}
And here's the code to use it:
import MyOrmUtils._
(Country AS "co")
.map(co => SELECT(SUBSTR(co.code, 1, 1)).FROM(co).list) // returns Seq[String]
Predicate is a parameterized expression which is resolved by database into a boolean-value function. Generally, predicates are used inside WHERE
or HAVING
clauses of SQL queries to filter the rows in result set.
Predicates are represented by the Predicate
class. The easiest way to compose a Predicate
instance is to use implicit conversion from String
or Field
to SimpleExpressionHelper
and call one of it's methods:
SELECT (co.*) FROM (co) WHERE (co.name LIKE "Switz%")
Following helper methods are available in SimpleExpressionHelper
:
| Group | Method | SQL equivalent |
|---|---|---|
| Comparison operators | EQ(value: Any) |
= ? |
NE(value: Any) |
<> ? |
|
GT(value: Any) |
> ? |
|
GE(value: Any) |
>= ? |
|
LT(value: Any) |
< ? |
|
LE(value: Any) |
<= ? |
|
BETWEEN(lower: Any, upper: Any) |
BETWEEN ? AND ? |
|
| Null handling | IS_NULL |
IS NULL |
IS_NOT_NULL |
IS NOT NULL |
|
| Subqueries | IN(query: SQLQuery[_]) |
IN (SELECT ...) |
NOT_IN(query: SQLQuery[_]) |
NOT IN (SELECT ...) |
|
EQ_ALL(query: SQLQuery[_]) |
= ALL (SELECT ...) |
|
NE_ALL(query: SQLQuery[_]) |
<> ALL (SELECT ...) |
|
GT_ALL(query: SQLQuery[_]) |
> ALL (SELECT ...) |
|
GE_ALL(query: SQLQuery[_]) |
>= ALL (SELECT ...) |
|
LT_ALL(query: SQLQuery[_]) |
< ALL (SELECT ...) |
|
LE_ALL(query: SQLQuery[_]) |
<= ALL (SELECT ...) |
|
EQ_SOME(query: SQLQuery[_]) |
= SOME (SELECT ...) |
|
NE_SOME(query: SQLQuery[_]) |
<> SOME (SELECT ...) |
|
GT_SOME(query: SQLQuery[_]) |
> SOME (SELECT ...) |
|
GE_SOME(query: SQLQuery[_]) |
>= SOME (SELECT ...) |
|
LT_SOME(query: SQLQuery[_]) |
< SOME (SELECT ...) |
|
LE_SOME(query: SQLQuery[_]) |
<= SOME (SELECT ...) |
|
| Miscellaneous | LIKE(value: Any) |
LIKE ? |
ILIKE(value: Any) |
ILIKE ? |
|
IN(params: Any*) |
IN (?, ?, ...) |
You can combine several predicates into AggregatePredicate
using either OR
or AND
methods:
AND(co.name LIKE "Switz%", co.code EQ "ch")
// or in infix notation:
(co.name LIKE "Switz%") OR (co.code EQ "ch")
You can negotiate a predicate using the NOT
method:
NOT(co.name LIKE "Switz%")
String
values are implicitly converted into SimpleExpression
predicate without parameters:
SELECT (co.*) FROM (co) WHERE ("co.code like 'ch'"))
You can also use prepareExpr
to compose a custom expression with parameters:
prepareExpr("co.name like :name or co.code like :code", "name" -> "Switz%", "code" -> "ch")
Ordering expressions appear in ORDER_BY
clause of Select
, they determine how rows in result set will be sorted. The easiest way to specify ordering expressions is to use implicit convertions from String
or Field
into Order
:
SELECT (co.*) FROM (co) ORDER_BY (co.name)
You can also add either ASC
or DESC
ordering specificator to explicitly set the direction of sorting:
SELECT (co.*) FROM (co) ORDER_BY (co.name ASC)
If no specificator given, ascending sorting is assumed by default.
Joins are used to combine records from two or more relations within a query.
Joins concept is a part of relational algebra. If you are not familiar with joins in relational databases, consider spending some time to learn a bit about them. A good place to start will be the Join_(SQL) article on Wikipedia.
Joins allow you to build queries which span across several associated relations:
val co = Country AS "co"
val ci = City AS "ci"
// find cities by the name of their corresponding countries:
SELECT (ci.*) FROM (ci JOIN co) WHERE (co.name LIKE 'Switz%')
As the example above shows, joins are intended to be used in the FROM
clause of query. The result of calling the JOIN
method is an instance of JoinNode
class:
val co2ci = (Country AS "co") JOIN (City AS "ci") // JoinNode[Country, City]
Every JoinNode
has it's left side and right side (co JOIN ci
is not equivalent to ci JOIN co
).
An important thing to know is that the join operation is left-associative: if join is applied to JoinNode
instance, the operation will be delegated to the left
side of JoinNode
.
To illustrate this, let's take three associated tables, Country
, City
and Street
:
val co = Country AS "co"
val ci = City AS "ci"
val st = Street AS "st"
We want to join them in following order: Country
→ (City
→ Street
). Since join operation is left-associative, we need extra parentheses:
co JOIN (ci JOIN st)
Now let's join the same tables in following order: (City
→ Street
) → Country
. In this case the parentheses can be omitted:
ci JOIN st JOIN co
By default Circumflex ORM will try to determine joining predicate (the ON
subclause) by searching the associations between relations.
Let's say we have two associated relations, Country
and City
. We can use implicit joins between Country
and City
:
Country AS "co" JOIN (City AS "ci")
// country AS co LEFT JOIN city AS ci ON ci.country_code = co.code
City AS "ci" JOIN (Country AS "co")
// city AS ci LEFT JOIN country AS co ON ci.country_code = co.code
However, if no explicit association exist between relations (or if they are ambiguous), you may need to specify the join predicate explicitly:
ci.JOIN(co).ON("ci.country_code = co.code")
Like in SQL, joins can be of several types. Depending on the type of join, rows which do not match the joining predicate will be eliminated from one of the sides of join. Following join types are available:
INNER
joins eliminate unmatched rows from both sides;LEFT
joins return all matched rows plus one copy for each row in the left side relation for which there was no matching right-hand row (extended with NULL
s on the right);RIGHT
joins, conversely, return all matched rows plus one copy for each row in the right side relation for which there was no matching right-hand row (extended with NULL
s on the left);FULL
joins return all the joined rows, plus one row for each unmatched left-hand row (extended with NULL
s on the right), plus one row for each unmatched right-hand row (extended with NULL
s on the left).;RelationNode
arguments to FROM
, they produce the Cartesian product of records, no join conditions are applied to them.If no join type specified explicitly, LEFT
join is assumed by default.
You can specify the type of join by passing an argument to the JOIN
method:
(Country AS "co").JOIN(City AS "ci", INNER)
Or you may call one of specific methods instead:
Country AS "co" INNER_JOIN (City AS "ci")
Country AS "co" LEFT_JOIN (City AS "ci")
Country AS "co" RIGHT_JOIN (City AS "ci")
Country AS "co" FULL_JOIN (City AS "ci")
A query can optionally condense into a single row all selected rows that share the same value for a subset of query projections. Such queries are often refered to as grouping queries and the projections are usually refered to as grouping projections.
Grouping queries are built using the GROUP_BY
clause:
SELECT (co.*) FROM co GROUP_BY (co.*)
As the example above shows, grouping projections are specified as arguments to the GROUP_BY
method.
Grouping queries are often used in conjunction with aggregate functions. If aggregate functions are used, they are computed across all rows making up each group, producing separate value for each group, whereas without GROUP_BY
an aggregate produces a single value computed across all the selected rows:
val co = Country AS "co"
val ci = City AS "ci"
// how many cities correspond to each selected country?
SELECT (co.* -> COUNT(ci.id)) FROM (co JOIN ci) GROUP_BY (co.*)
Groups can be optionally filtered using the HAVING
clause. It accepts a predicate:
SELECT (co.* -> COUNT(ci.id)) FROM (co JOIN ci) GROUP_BY (co.*) HAVING (co.code LIKE "c_")
Note that HAVING
is different from WHERE
: WHERE
filters individual rows before the application of GROUP_BY
, while HAVING
filters group rows created by GROUP_BY
.
The LIMIT
clause specifies the maximum number of rows a query will return:
// select 10 first countries:
SELECT (co.*) FROM co LIMIT 10
The OFFSET
clause specifies the number of rows to skip before starting to return results. When both are specified, the amount of rows specified in the OFFSET
clause is skipped before starting to count the maximum amount of returned rows specified in the LIMIT
clause:
// select 5 countries starting from 10th:
SELECT (co.*) FROM co LIMIT 5 OFFSET 10
Note that query planners in database engines often take LIMIT
and OFFSET
into account when generating a query plan, so you are very likely to get different row orders for different LIMIT
/OFFSET
values. Thus, you should use explicit ordering to achieve consistent and predictable results when selecting different subsets of a query result with LIMIT
/OFFSET
.
Most database engines allow to comine the results of two queries using the set operations. Following set operations are available:
UNION
— appends the result of one query to another, eliminating duplicate rows from its result;UNION_ALL
— same as UNION
, but leaves duplicate rows in result set;INTERSECT
— returns all rows that are in the result of both queries, duplicate rows are eliminated;INTERSECT_ALL
— same as INTERSECT
, but no duplicate rows are eliminated;EXCEPT
— returns all rows that are in the result of left-hand query, but not in the result of right-hand query; again, the duplicates are eliminated;EXCEPT_ALL
— same as EXCEPT
, but duplicates are left in the result set.The syntax for using set operations is:
// select the names of both countries and cities in a single result set:
SELECT (co.name) FROM co UNION (SELECT (ci.name) FROM ci)
Set operations can also be nested and chained:
q1 INTERSECT q2 EXCEPT q3
(q1 UNION q2) INTERSECT q3
The queries combined using set operations should have matching projections. Following will not compile:
SELECT (co.*) FROM co UNION (SELECT (ci.*) FROM ci)
When working with data-centric applications, you often need the same query to be executed with different parameters. The most obvious solution is to build Query
objects dynamically:
object Country extends Table[String, Country] {
def findByCode(code: String): Option[Country] = (this AS "co").map(co =>
SELECT (co.*) FROM co WHERE (co.code LIKE code) unique)
}
However, you can use named parameters to reuse the same Query
object:
object Country extends Table[String, Country] {
val co = AS("co")
val byCode = SELECT (co.*) FROM co WHERE (co.code LIKE ":code")
def findByCode(c: String): Option[Country] = byCode.set("code", c).unique
}
Most (if not all) of your data retrieval queries will be focused to retrieve only one type of records. Criteria API aims to minimize your effort on writing such queries. Following snippet shows three equivalents of the same query:
// Select query:
(Country AS "co").map(co => SELECT (co.*) FROM (co) WHERE (co.name LIKE "Sw%") list)
// Criteria query:
Country.criteria.add(Country.name LIKE "Sw%").list
// or with RelationNode:
co.criteria.add(co.name LIKE "Sw%").list
As you can see, Criteria
queries are more compact because boilerplate SELECT
and FROM
clauses are omitted.
But aside from shortening the syntax, Criteria API offers unique functionality — associations prefetching, which can greatly speed up your application when working with graphs of associated objects.
The Criteria[R]
object has following methods for execution:
list()
executes a query and returns Seq[R]
;unique()
executes a query and returns Option[R]
, an exception is thrown if more than one row is returned from database;mkSelect
transforms a Criteria
into the Select
query;mkUpdate
transforms a Criteria
into the Update
query;mkSelect
transforms a Criteria
into the Delete
query;toString
shows query tree for debugging.You can use predicates to narrow the result set. Unlike Select
queries, predicates are added to Criteria
object using the add
method and then are assembled into the conjunction:
co.criteria
.add(co.name LIKE "Sw%")
.add(co.code LIKE "ch")
.list
You can apply ordering using the addOrder
method:
co.criteria.addOrder(co.name).addOrder(co.code).list
Also you can add one or more associated relations to the query plan using the addJoin
method so that you can specify constraints upon them:
val co = Country AS "co"
val ci = City AS "ci"
co.criteria.addJoin(ci).add(ci.name LIKE "Lausanne").list
Automatic joins are used to update query plan properly. There is no limitation on quantity or depth of joined relations. However, some database vendors have limitations on maximum size of queries or maximum amount of relations participating in a single query.
One serious limitation of Criteria API is that it does not support LIMIT
and OFFSET
clauses due to the fact that association prefetching normally causes result set to yield more than one row per record. You can still use LIMIT
and OFFSET
with SQL queries;
When working with associated records you often need a whole graph of associations to be fetched.
Normally associations are fetched eagerly first time they are accessed, but when it is done for every record in a possibly big result set, it would result in significant performance degradation (see the n + 1 selects problem explained blogpost).
With Criteria API you have an option to fetch as many associations as you want in a single query. This technique is refered to as associations prefetching or eager fetching.
To understand how associations prefetching works, let's take a look at the following domain model sample:
class Country extends Record[String, Country] {
def PRIMARY_KEY = code
def relation = Country
val code = "code" VARCHAR(2) DEFAULT("'ch'")
val name = "name" TEXT
def cities = inverseMany(City.country)
}
object Country extends Country with Table[String, Country]
class City extends Record[Long, City] with IdentityGenerator[Long, City] {
def PRIMARY_KEY = id
def relation = City
val id = "id".LONG.NOT_NULL.AUTO_INCREMENT
val name = "name" TEXT
val country = "country_code".VARCHAR(2).NOT_NULL
.REFERENCES(Country).ON_DELETE(CASCADE).ON_UPDATE(CASCADE)
}
object City extends City with Table[Long, City]
You see two relations, Country
and City
. Each city has one associated country
, and, conversely, each country has a list of corresponding cities
.
Now you wish to fetch all cities with their corresponding countries in a single query:
val cities = City.criteria.prefetch(City.country).list
cities.foreach(c => println(c.country())) // no selects issued
The example above shows the prefetching for straight associations. Same logic applies to inverse associations prefetching, for example, fetching all countries with their corresponding cities:
val countries = Country.criteria.prefetch(City.country).list
countries.foreach(c => println(c.cities())) // no selects issued
Okay. Now we totally hear you saying: “How is that really possible?” — so let's explain a bit. Each Criteria
object maintains it's own tree of associations, which is used to form the FROM
clause of the query (using automatic left-joins) and, eventually, to parse the result set. The data from result set is parsed into chunks and loaded into transaction-scoped cache, which is subsequently used by associations and inverse associations to avoid unnecessary selects.
There is no limitation on quantity or depth of prefetches. However, some database vendors have limitations on maximum size of queries or maximum amount of relations participating in a single query.
Aside from information retrieval tasks, queries may be intended to change data in some way:
Such queries are often refered to as data manipulation queries.
Circumflex ORM employs Active Record design pattern. Each Record
has following data manipulation methods which correspond to their SQL analogues:
INSERT_!(fields: Field[_, R]*)
— executes an SQL INSERT
statement for the record, that is, persists that record into database table. You can optionally specify fields
which will appear in the statement; if no fields
specified, then only non-empty fields will be used (they will be populated with NULL
s or default values by database).INSERT(fields: Field[_, R]*)
— same as INSERT_!
, but runs record validation before actual execution;UDPATE_!(fields: Field[_, R]*)
— executes an SQL UPDATE
statement for the record, that is, updates all record's fields (or only specified fields
, if any). The record is being looked up by it's id
, so this method does not make any sense with transient records.UPDATE(fields: Field[_, R]*)
— same as UPDATE_!
, but runs record validation before actual execution;DELETE_!()
— executes an SQL DELETE
statement for the record, that is, removes that record from database. The record is being looked up by it's id
, so this method does not make any sense with transient records.Circumflex ORM provides higher abstraction for persisting records — the save_!
method. It's algorithm is trivial:
id
is not empty), it is updated using the UPDATE_!
method;INSERT_!
method is called, which causes database to persist the record.There is also a handy save()
method, which runs record validation and then delegates to save_!()
.
Note that in order to use save
and save_!
methods your records should support identifier generation.
Circumflex ORM provides support for the following bulk data manipulation queries:
INSERT … SELECT
— inserts the result set of specified SQLQuery
into specified Relation
;UPDATE
— updates certain rows in specified Relation
;DELETE
— removes certain rows from specified Relation
.All data manipulation queries derive from the DMLQuery
class. It defines a single method for execution, execute()
, which executes corresponding statement and returns the number of affected rows.
Also note that each execution of any data manipulation query evicts all records from transaction-scoped cache.
The InsertSelect
query has following syntax:
// prepare query
val q = (Country AS "co").map(co => INSERT_INTO (co) SELECT ...)
// execute it
q.execute
Note that projections of specified SQLQuery
must match the columns of the Relation
.
SQL databases support UPDATE
and DELETE
statements for bulk operations. Circumflex ORM provides equivalent abstractions for these operations, Update
and Delete
respectively.
The Update
query allows you to use DSL for updating fields of multiple records at a time:
(Country AS "co").map(co =>
UPDATE (co) SET (co.name, "United Kingdom") SET (co.code, "uk") execute)
The Delete
query allows you to delete multiple records from a single relation:
(Country AS "co").map(co => DELETE (co) execute)
An optional WHERE
clause specifies predicate for searched update or delete:
UPDATE (co) SET (co.name, "United Kingdom") WHERE (co.code LIKE 'uk')
DELETE (co) WHERE (co.code LIKE 'uk')
Many database vendors also allow USING
clause in UPDATE
and DELETE
statements. Circumflex ORM does not support this feature yet.


ETH Signer
Sign & Recover Messages.
Using an Ethereum Wallet.
Verify Yourself using your ETH Wallet.
Sometimes, DApps might ask you to sign a message in your wallet to prove that you have access to the private key/the funds and aren’t someone acting fraudulently.
ETH Signer can help you in testing the major types of authentication via wallet signature requests & makes it easy to prove you own that account just by signing a piece of data with your private key.
An open-ended signing method that allows signing an arbitrary hash
eth_sign method can be used to sign transactions, or any other data, making it a dangerous phishing risk. Hence, its discouraged to use this method in production.
Same semantics as eth_sign but also accepts a password
The private key used to sign the hash is temporary unlocked in the scope of the request.
personal_recover, returns the address for the account that created the signature.
The original state-channel-centric signing method
signTypedData_v1 method also known as signTypedData, originally premiered October 2017, is human readable, cheap to verify on chain and hard to phish signatures.
Most secure method for signing cheap-to-verify data on-chain
The method signTypedData_v3 currently represents the latest version of the EIP-712 spec, making it the most secure method for signing cheap-to-verify data on-chain.
Like signTypedData_v3 with added support for arrays
The method signTypedData_v4 currently represents the latest version of the EIP-712 spec, with added support for arrays and with a breaking fix for the way structs are encoded.
Use your ETH Wallet to Instantly Test & Verify The Signatures.
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Easily Prove your access to the wallet.
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31 March 2020 Travel Risk Categories & Threat Level Matrix
30 March 2020 ASG Employee Staffing Levels and Social Distancing
26 March 2020 Travel Restrictions issued by Office of the Attorney General
26 March 2020 Travel Risk Categories & Threat Level Matrix
25 March 2020 Second Amended Declaration of Continued Health Emergency
25 March 2020 Read Executive Order regarding COVID-19 Emergency
24 March 2020 From the Workmens Compensation Commission (WCC)
24 March 2020 Department of Parks and Recreation Advisory


About me
I'm yousef jariry, 24 years old, A Software engineering fresh graduate from the hashemite University
What I learned in this lab
arrays
loops
logical operators
Top 10 Movies I've Watched:
Fatherhood
Wish Dragon
Good on Paper
Home
Security
Rurouni Kenshin: The Final
Dog Gone Trouble
The Secret Life of Pets 2
The Mitchells vs. the Machines
Silver Skates


The first and last question should always be: "What's our goal?" Understand the problem and you can start on the solution.
My arts background and varied interests give me a unique perspective on coding (More on that below).
Solo project? Huge team? React? Angular? Vue? I'm game for whatever.
I started programming when I was a kid—a family friend gave us a computer he had cobbled together ("Frankenstein" as he affectionately called it) and my dad taught me enough QBasic on it to be dangerous.
In high school, I got hooked on the arts, hard. I started singing in choirs and writing classical music. I was in musicals and plays. I took up ballroom and swing dancing. I decided to pursue music in college (and, spoiler: eventually grad school, too).
While I was in college, I started working at Dorian Summer Music Camps. I was in the room when someone asked for tech help; eventually, that spun into being Registrar and running and improving a vast database of student records, class rosters, and rooming lists. I learned a ton about SQL and VBA, and working under pressure.
I finished a Bachelor of Arts at Luther College and an Master of Music at University of Northern Iowa, both in Music Composition. I did a bunch of cool projects, including scoring a musical. I also founded and ran two massive competitive ballroom groups. After finishing up at school, I moved to Rochester, MN and pursued freelance work in the arts.
After a few years in the arts, the hours and being 'always on' started to get to me. I started to hear the siren call of my first true love, programming. I decided I needed a change and chose to attend Prime Digital Academy to formalize and round out my skills.


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| ID | Borrower | Agreement date | Client description | Roles | Legal counsel | Description of documents | Original / CTC | No. of copies | Doc receipt date | Location | Remarks | Updated / prepared by | Prepare / update date | Checked by | Date checked |
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Pat's Cookie Shop
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The sequel to the original blockbuster "Zombie", taking off exactly where the original left off. A new wave of zombies arise leading to an epic earth-shattering war
The third and possible final installment of the Zombie series, we learn the beginnings of the Zombie and also those responsible for their genesis


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His Excellency
Chief Olusegun Obasanjo, GCFR, Former President, Federal Republic of Nigeria
His Excellency
Alhaji Umar Musa Yar'Adua, GCFR, Former President, Federal Republic of Nigeria
His Excellency
Dr. Goodluck Ebele Jonathan, GCFR, Former President, Federal Republic of Nigeria
In 1998 Nigeria
The PDP in its first presidential primary election held in Jos, Plateau State, North Central Nigeria nominated former military leader Olusegun Obasanjo who had just been released from detention as political prisoner as the presidential candidate in the elections of February 1999, with Atiku Abubakar (Governor-Elect of Adamawa State and a former leading member of the Social Democratic Party) as his running mate. They won the presidential election and were inaugurated 29 May 1999.
Oh yeah, it’s that good. Next was..
In the legislative election held on 12 April 2003, the party won 54.5% of the popular vote and 223 out of 360 seats in the House of Representatives, and 76 out of 109 seats in the Senate. Its candidate in the presidential election of 19 April 2003, Olusegun Obasanjo, was re-elected with 61.9% of the vote.
And lastly, In December 2006,
Umaru Yar'Adua (formerly of the People's Redemption Party and the Social Democratic Party) was chosen as the presidential candidate of the ruling PDP for the April 2007 general election, receiving 3,024 votes from party delegates; his closest rival, Rochas Okorocha, received only 372 votes.


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Via Piacenza 9, Rome, Italy
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Piazza Barberini 11, Rome, Italy
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Via Tor de Conti 22, Rome, Italy
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Via delle Alpi 4, Rome, Italy


[1]
be careful lifting this may be a myriad of wack with tv stations.
[2]
Lip Sync it could break if too much pressure was put on it out there with tv stations.


RCE enables engineers and scientists to construct automated workflows consisting of numerous such software tools, to execute these workflows on a distributed network of compute nodes, and to collect all relevant artifacts for further analysis
Handling complex systems requires many experts and several tools for analysis, design, and simulation.
Using RCE, these tools can be shared between team members and integrated into automated, executable workflows.
Since one of the main areas of application of RCE is the design and development of novel airplane configurations, there are a number of data formats and external tools used in this context that closely integrate with RCE.
Furthermore, due to its nature as an open-source OSGi-based Java project, RCE has been the subject of a number of projects in the field of software analysis and visualization.
Here, we introduce and highlight some data formats software that RCE integrates with as well as projects that use RCE as the subject of their investigation.
We are always open for new introductions to this list.
If you have a tool, a project, or an integration of RCE that you would like to see here, please do not hesitate to contact us.
The Common Parametric Aircraft Configuration Schema (CPACS) is a data format definition for the design and development of air transportation systems.
This schema enables engineers to exchange information between their design tools.
RCE provides special wrapping functionalities to simplify the integration of tools that use CPACS as their input or output format.
The TiGL Geometry Library (TiGL) is an open source geometric library that generates a geometric representation of aircraft described in a CPACS file.
This library includes the TiGL Viewer, an interactive user interface which can be used to inspect the constructed geometry.
RCE can be configured to use the TiGL viewer to display geometries used in a workflow.
The Island Visualization (IslandViz) is a visualization tool for exploring modular software systems such as RCE in virtual reality.
IslandViz represents every module as a distinct island on a virtual table.
Users can then explore the module structure of RCE as well as the dependencies between the modules on multiple levels of granularity.
That allows users to get a first overview about the complexity of an OSGi-based software system by interactively exploring its modules as well as the dependencies between them.


Files used by FontForge
~/.FontForge
FontForge creates this directory the first time it starts up. It contains various files FontForge uses to hold context across invocations.
~/.FontForge/prefs
This file contains user preference settings.
~/.FontForge/groups
This file contains groups as defined by Encoding->Define Groups...
~/.FontForge/Encodings.ps
If there are any user defined encodings they reside in this file.
~/.FontForge/autosave
This directory contains the files used to drive the crash-recovery process. When FontForge is running there will be one file in this directory corresponding to each font loaded into FontForge that has been modified. These files will contain all changed glyphs.
When FontForge exits normally, this directory will be cleaned up and there should be no files in it.
~/.FontForge/plugins
This directory contains any plugins you want available for your private use.
~/.FontForge/python
This directory contains any python init scripts you want to run when FontForge starts
~/.PfaEdit
Before Oct 2007 the .PfaEdit subdirectory was used instead of .FontForge. After Oct 2007 if FontForge finds a .PfaEdit directory (and no .FontForge directory) it will rename .PfaEdit to be .FontForge.
/usr/local/share -- Assuming you installed FontForge on /usr/local, otherwise substitute $PREFIX/share for "/usr/local/share" in the following.
/usr/local/share/fontforge/*.ui
These files contain translations of the ui for various locales. (used by fontforge before November 2005)
/usr/local/share/locale/??/LC_MESSAGES/FontForge.mo
Contain translations of the ui for various locales. (used after November 2005)
/usr/local/share/fontforge/*.cidmap
"Encoding" files for Adobe's cid formats. You can pull down a compressed archive from here.
/usr/local/share/fontforge/plugins
This directory contains any plugins you want available to everyone on your system.
/usr/local/share/fontforge/python
This directory contains any python init scripts you want available to everyone on your system.
/usr/local/share/doc/fontforge/*.html
Optional location for online documentation. You can pull down a compressed archive from here.