IN THE DARK/Jonathan Richards
THE CURSE OF THE JADE SCORPION Written and Directed by Woody Allen With Woody Allen, Helen Hunt Theater PG-13 103 min.
Don't expect brilliance every time from Woody Allen.. With the exception of a few masterpieces like Annie Hall and Manhattan, what Woody makes is movies -- funny movies, entertaining movies, sometimes very good movies, movies that earn their claim on our ticket dollars and a few hours of our time. He's established a persona who checks in with different names and occupations but the same neuroses and mannerisms in one dependable movie a year. He makes movies in the tradition of Bob Hope, or Charlie Chan. The Curse of the Jade Scorpion is a B movie made with A movie talent. The period production design by longtime collaborator Santo Loquasto is stunning, the cinematography by recent Allen acquisition Zhao Fei is rich and satisfying, the cast, from Oscar-winner Helen Hunt on down is excellent. Curiously, Hunt is often unflatteringly lit – perhaps in an effort to narrow the 28-year generation gap between her and her romantic lead. Among the richness of characters and performances, Charlize Theron is a knockout as a Bad Rich Girl. Allen's direction is uneven. He gets great work out of his cast, but his pacing is off – there's plenty of down time to read the EXIT signs and count the change in your pocket. His screenplay could have used a few more laps around the word processor. It's packed with gags, some of them funny, some of them not (a mix Allen may recognize – he has Hunt's character describe him as `a little man who makes bad jokes.'). The plot has a retread familiarity, and its twists and turns are just not as clever as they ought to be. On the other hand, it's not bad. It passes the time in an amusing way. It's comfortable. In a way, Scorpion's B-movieness dovetails nicely with its setting. The time is 1940, the place of course is Manhattan, and the deal is this: Woody is C.W. Briggs, an investigator for a big insurance firm run by the affable Magruder (Dan Aykroyd). Briggs is an old-school guy, who gathers tips from his informer network of blind beggars and street riff-raff, hits on the office secretaries, hangs out in the neighborhood bar, and solves cases by the seat of his pants. `I get inside the criminal mind,' he tells his admiring co-workers. `I wouldn't want to have me after me.' It's a world that should go on forever, but a serpent has invaded his Garden. She's an efficiency expert, Miss FitzGerald (Helen Hunt), and she's messing with the old ways of doing things. Briggs and FitzGerald get along like Arafat and Sharon. In the world of a movie, no two people who hate each other that much could be headed anywhere but romance. The fulcrum on which Allen's plot turns is a scene with a nightclub hypnotist (David Ogden Stiers). From there the plot marches inexorably and inevitably – one might even say familiarly – to its conclusion. Echoes of movies past haunt the frames of Scorpion. You'll recognize bits of The Court Jester, The Manchurian Candidate, even The Woman in the Window, and others that nibble at the fringes of memory. These days we call that sort of thing homage, a stream Allen fished for his previous (and most commercially successful) movie, the Big Deal on Madonna Street-flavored Small Time Crooks. For my money, Allen's best movie in recent years is the hilarious and smartly original Bullets Over Broadway. He used a surrogate actor (John Cusack) to star, and more importantly, he worked with a collaborator (Douglas McGrath) on the script. It's a formula worth revisiting.
========== X-RAMR-ID: 29286 X-Language: en X-RT-ReviewID: 246195 X-RT-TitleID: 1109247 X-RT-AuthorID: 2779
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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public interface PlayerProfile
| Modifier and Type | Method and Description |
|---|---|
void |
clearProperties()
Clears all properties on this profile
|
default boolean |
complete()
If this profile is not complete, then make the API call to complete it.
|
boolean |
complete(boolean textures)
If this profile is not complete, then make the API call to complete it.
|
boolean |
completeFromCache()
Like
complete(boolean) but will try only from cache, and not make network calls
Does not account for textures. |
UUID |
getId() |
String |
getName() |
Set<ProfileProperty> |
getProperties() |
boolean |
hasProperty(String property)
Check if the Profile has the specified property
|
default boolean |
hasTextures()
Whether or not this Profile has textures associated to it
|
boolean |
isComplete() |
default boolean |
removeProperties(Collection<ProfileProperty> properties)
Removes all properties in the collection
|
default boolean |
removeProperty(ProfileProperty property)
Removes a specific property from this profile
|
boolean |
removeProperty(String property)
Removes a specific property from this profile
|
UUID |
setId(UUID uuid)
Sets this profiles UUID
|
String |
setName(String name)
Sets this profiles Name
|
void |
setProperties(Collection<ProfileProperty> properties)
Sets multiple properties.
|
void |
setProperty(ProfileProperty property)
Sets a property.
|
String setName(@Nullable String name)
name
- The new NameUUID setId(@Nullable UUID uuid)
uuid
- The new UUID@Nonnull Set<ProfileProperty> getProperties()
boolean hasProperty(String property)
property
- Property name to checkvoid setProperty(ProfileProperty property)
property
- Property to set.void setProperties(Collection<ProfileProperty> properties)
properties
- The properties to setboolean removeProperty(String property)
property
- The property to removedefault boolean removeProperty(@Nonnull ProfileProperty property)
property
- The property to removedefault boolean removeProperties(Collection<ProfileProperty> properties)
properties
- The properties to removevoid clearProperties()
boolean isComplete()
boolean completeFromCache()
complete(boolean)
but will try only from cache, and not make network calls
Does not account for textures.default boolean complete()
complete(boolean)
}boolean complete(boolean textures)
textures
- controls if we should fill the profile with texture propertiesdefault boolean hasTextures()
Copyright © 2021. All rights reserved.


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© copyright 2014


#include <XKMSCompoundRequest.hpp>
Inheritance diagram for XKMSCompoundRequest:
The <CompoundRequest> is used to merge a number of separate requests into a single message. It is a very simple type - simply a holding Request that has all the sub-requests held within it.
The schema definition for CompoundRequest is as follows :
<!-- CompoundRequest --> <element name="CompoundRequest" type="xkms:CompoundRequestType"/> <complexType name="CompoundRequestType"> <complexContent> <extension base="xkms:RequestAbstractType"> <choice maxOccurs="unbounded"> <element ref="xkms:LocateRequest"/> <element ref="xkms:ValidateRequest"/> <element ref="xkms:RegisterRequest"/> <element ref="xkms:ReissueRequest"/> <element ref="xkms:RecoverRequest"/> <element ref="xkms:RevokeRequest"/> </choice> </extension> </complexContent> </complexType> <!-- /CompoundRequest -->
Constructors and Destructors | |
| virtual | ~XKMSCompoundRequest () |
| XKMSCompoundRequest () | |
Public Member Functions | |
Getter Interface Methods | |
| virtual XERCES_CPP_NAMESPACE_QUALIFIER DOMElement * | getElement (void) const =0 |
| Return the element at the base of the message. | |
| virtual int | getRequestListSize (void)=0 |
| Obtain the number of requests within the compound request. | |
| virtual XKMSRequestAbstractType * | getRequestListItem (int item)=0 |
| Obtain a request item. | |
Setter Interface Methods | |
| virtual XKMSLocateRequest * | createLocateRequest (const XMLCh *service, const XMLCh *id=NULL)=0 |
| Add a LocateRequest item. | |
| virtual XKMSValidateRequest * | createValidateRequest (const XMLCh *service, const XMLCh *id=NULL)=0 |
| Add a ValidateRequest item. | |
| virtual XKMSRegisterRequest * | createRegisterRequest (const XMLCh *service, const XMLCh *id=NULL)=0 |
| Add a RegisterRequest item. |
|
|
|
|
|
|
|
|
Add a LocateRequest item. Appends a LocateRequest to the CompoundRequest object and returns the newly created object
|
|
|
Add a RegisterRequest item. Appends a RegisterRequest to the CompoundRequest object and returns the newly created object
|
|
|
Add a ValidateRequest item. Appends a ValidateRequest to the CompoundRequest object and returns the newly created object
|
|
|
Return the element at the base of the message.
Implements XKMSRequestAbstractType. |
|
|
Obtain a request item. Obtain a particular request from the list of requests held in this compound object
|
|
|
Obtain the number of requests within the compound request. This class holds a list of requests that can be accessed using the getRequestListItem method. This method allows an application to determine how many request items there are.
|


Italian junior soccer team fires coach after blowout win
by Ryan GaydosAn Italian youth soccer coach was fired Saturday after his team defeated an opponent 27-0, including getting seven goals from one player.
Invictasauro, an under-18 squad, fired Massimiliano Riccini after the blowout Tuesday over Marina Calcio.
RECORD WOMEN’S SUPER LEAGUE CROWD SEES ARSENAL WIN AT SPURS
The firing came after Marina Calcio sporting director Tiberio Pratesi claimed Invictasauro disrespected his club in the win. Marina Calcio suffered several key injuries in the match, according to ESPN.
An Invictasauro representative called Pratesi after the match and apologized for the 27-0 win. The club’s president, Paolo Brogelli, later announced the departure of Riccini.
“We were stunned and deeply regretful when hearing that our [Juniors] team had beaten Marina Calcio 27-0,” Progelli said in a statement.
RONALDO STUCK ON 99 GOALS BUT PORTUGAL THROUGH TO EURO 2020
"The values of youth team football are antithetical to such a thing. The opponent must always be respected and that did not happen today.
“As president, I sincerely apologize to the Marina club. I announce that our directors decided, unanimously, to sack coach Riccini.
CLICK HERE FOR MORE SPORTS COVERAGE ON FOXNEWS.COM
“Our coaches have the duty to train young players, but above all to educate them. That did not happen today.”


Google brings ‘vibrate then ring’ option to Pixel smartphones
by Ben SchoonGoogle has quietly rolled out a new option for Pixel devices which allows the ringer to vibrate first and then gradually start to ring at your set volume. Now, that feature appears to be widely rolling out to all Pixel devices.
We noticed a new option last week on the Pixel 4 which gave the device the ability to vibrate and then ring with incoming calls, but at the time it wasn’t consistently showing up on older Pixel devices. In the time since, Android Police and XDA cite reader reports of the feature showing up on Pixel, Pixel 2, Pixel 3, and Pixel 3a devices and their XL variants too.
The feature is available in Settings > Sound > Vibrate for calls. Once switched over, the feature will use the vibration motor as soon as a call is coming in but slowly bring in the ringer until it reaches full volume as the call goes unanswered. The vibration goes on for about 5 seconds before the ringer starts going off. It won’t go over your set volume level when it does ramp up. It slowly goes from silent to the previous setting over the course of a few seconds.
We’re not sure how widely this feature is rolling out to older Pixels, but it’s certainly an appreciated option. I’d imagine it could be useful in meetings as it gives you a chance to silence the phone before it makes noise without having the phone constantly in vibrate-only mode.
Sound off in the comments if the feature has appeared on your device!
The “vibrate then ring” option is rolling out to older Pixels
More on Pixel:
- Google Camera 7.2 with Astrophotography mode, Pixel 4 UI rolling out to older Pixels
- Google stops updating the original Pixel and Pixel XL, one more in December
- Pixel Ambient Services preps ‘Export’ for Now Playing history [APK Insight]
FTC: We use income earning auto affiliate links. More.


The Vendor Registration Administrator email message is sent to the primary site Administrator when a new Vendor account is created. To locate this resource file, use the Find option on your web browser and search for EMAIL_VENDOR_REGISTRATION_ADMINISTRATOR_SUBJECT.Text and EMAIL_VENDOR_REGISTRATION_ADMINISTRATOR_BODY.Text.
Here is the subject title and message for this email as provided in the default DNN core language pack:
[Portal:PortalName] Vendor Application
Date: [Custom:0]
Vendor Name: [Custom:1]
First Name: [Custom:2]
Last Name: [Custom:3]
Unit: [Custom:4]
Street: [Custom:5]
City: [Custom:6]
Region: [Custom:7]
Country: [Custom:8]
Postal Code: [Custom:9]
Telephone: [Custom:10]
Fax: [Custom:11]
Cell: [Custom:12]
Email: [Custom:13]
Website: [Custom:14]


Click inside the Canvas
Shower Mode - WARNING! ADDICTIVE!
For more demos:
https://github.com/filipedeschamps/doom-fire-algorithm


GIVE TO CHARITYDonate 10% of your total income to roll 1 or 2 die over your next 3 turns. NEW BABY!Congratulations! One child has been added to your dependents Child Expenses will be increased by $DOWNSIZED!Pay a full set of your expenses. Skip 3 turns. Pay: $ Spare Pay a full set of your expenses. Skip 3 turns.  TAKE OUT A LOANLoans must be in multiples of $1000 at 10% interest per month.  Insufficient FundsNot enough funds. TAKE OUT A LOANNot enough funds.  Are you sure? CONGRATULATIONS!YOU ARE OUT OF THE RAT RACE!has built up their passive income to be greater than their total expenses and may now enter the Fast Track. If you enter, you will receive 100x your passive income in cash and race to increase your CASHFLOW DAY income by $50,000 to win the game. WELCOME TO THE FAST TRACK!has entered the Fast Track. You receive 100x your passive income in cash.  You may also use this time to review your deals.
  You are officially out of the game. EVERYONE IN THE GAME HAS GONE BANKRUPT. GAME OVER.
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||||||||||||||||||||||||||||||||||||||||||||||||||||||
| CASH: | $ |
|---|---|
| TOTAL INCOME: | $ |
| TOTAL EXPENSES: | $ |
| PAYDAY: | $ |
| INCOME | |
|---|---|
| Salary | $ |
| Interest/Dividends | |
| Real Estate/Business | |
| EXPENSES | |
|---|---|
| Taxes | $ |
| Home Mortgage Payment | $ |
| Car Loan Payment | $ |
| Credit Card Payment | $ |
| Retail Payment | $ |
| Boat Loan Payment | $ |
| Insurance Payment | $ |
| Children (x) | $ |
| Other Expenses | $ |
| Loans | $ |
| ASSETS | |
|---|---|
| Stocks/Funds/CDs | Cost/Share |
| Real Estate/Business | Cost |
| LIABILITIES | |
|---|---|
| Mortgage | |
| Car Loan | |
| Credit Card | |
| Retail | |
| Loans | |
| Boat |
| ASSETS | ||
|---|---|---|
| Title | Cash Flow | Cost |


I am a mum with two kids who are nine years old girl and six years old boy. After married and kids were young, I haven't had a time to look after myself. Once kids went to school, I had more time to think about life. After much thought, I thought I might like to be interested in web design and development. Now I am here to begin my journey in Dev Academy. When I studied at Yoobee School of Design, we had a team project to design a tracking App. There were three members in our teams and we had a weeks to finish the project. We divided it into three different roles and we become a leader of each roles. End of the first week, we heard that one of our team number's mum was in the hospital and her conditions wasn't good so our team member had to go to Auckland. We all understand her situation so that me and another team member to extra works. It can be quite a hard situation in our team, because of my personal values to work hard, working in a team, and having sympathy towards the personal needs of one of the members, it was so much of an issue to me. Another time, we had a personal project for a packaging design for a baby product. I found a really nice design pattern from a Korean baby product. I was quite tempted to copy it. However, I wasn't comfortable deep within. Due to my ethical view, I decided not to copy this design, instead I designed my own unique packaging design. It wasn't as nice as the other design, but I was happy and satisfied with my own design from my own research and effort.
My Korean culture is family orientated and has an emphases on communal living. Also I've learnt to have an attitude to respect the elders. On top of this, we have a hard working culture. Since I was young I spent a lot of time with not only my family but also relatives. In such environment I've spontaneously learnt to care for others, have a sympathetic heart and a view to always spend time together. Although having a big family cause us to be comparative, we do it to have fun and we do it out of love.


test('robots-txt', async () => {
const opts = {
chromeFlags: [ '--headless']
};
let url = 'https://www.wikihow.com/Tie-Your-Shoes';
await launchChromeAndRunLighthouse(url, opts).then(results => {
// AIf your robots.txt file is malformed, crawlers
// may not be able to understand how you want your
// website to be crawled or indexed.
expect(results.audits['robots-txt'].score).toEqual(1);
});
}, 20000);


The filename which will be read from GitHub to determine if a Jenkins branch, tag, or pull request should be built. Provide a comma separated list of paths to YAML files in a repository and it will check each path as a fallback.
For example, set the value to: .jervis.yml, .ci/jervis.yml and this plugin will first check for valid YAML in .jervis.yml. If no YAML exists, then it will fall back to checking .ci/jervis.yml.


To satiate everyones desire for more movies and the real history behind them.
Watch all the new movies before anyone else! And go through features of our streaming service to craft the best experience possible to your liking!
Chat with us and others over Facebook, Twitter, and Instagram for discussions of movies where you could also see previews of whats to come!
Join us as we break down each movie's production while taking you on a journey through the historical inspiration for each film.
Visit Us Here to learn more about us!


I am an HTML5 application. My name is <%=name%> and my version is <%=version%>
Hello World in this locale is: <%=i18n['hello'] %>
<% if (remoteConfig.loaded) { %> Here is some data that was loaded from the Node.js config file: <%= remoteConfig.get('dataToShareWithClient') %> <% } %>


! Appointment of a new clan leader: You are not a clan leader and can not appoint a new clan leader.


Delay a function from being activated with continuous event triggering.
If you're anything like me, I forget how to prevent an event from constantly activating a component of a web application. Instead of employing the old paradigm of setting a timer and clearing it manually, let Suspend.js handle that for you.
Let's say you've got an input box that will trigger an AJAJ -- because AJAX is dead, people! -- call to a server, but you want to wait an intermediate amount of time before the trigger happens.
The current way to do that in javascripts is with this piece of code
In HTML:<input type="text" id="search" />And in javascript:
var timer; document .getElementById("search") .onkeypress = function(e) { if (timer) { clearTimeout(timer); } setTimeout(function() { console.log("Wait 500ms before being triggered on key stroke!"); }, 500); };
Really this is pretty minimal, but it takes time to think about how it works, and there's a lot of boilerplate here to remember. Furthermore, this paradigm pops up in a few tutorials but it is otherwise sort of obsure and can be difficult to read.
This library reduces the boilerplate to a simple instance instantiation that we are all familiar with
var search_wait = new Suspend({ element: document.getElementById("search"), event: "onkeypress", callback: function() { console.log("Wait 500ms before being triggered on a key stroke!"); } });And then all you have to do is kickstart the event listener
search_wait.start();


Whether you're a candidate or client, we'd love to talk to you.
Or take a look at some of the current roles we're advertising.
Top Roles
We represent some of the biggest names in the industry. So whether you're interested in working with us or excited to work with one of these great companies, pick up the phone.
This is a line of revolving testimonial text from a client that can wrap to a second line.
Client Name, Job Title
We'd love the chance for a quick chat over the phone to find out how we can help you.
<EMAIL_ADDRESS>| 0207 3459 2349
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Do onto other as you would have them do onto you.
Treat your instructor and others with respect
With the exception of yells and responsive items, please keep the chatter down. The instructor must be able to gather the attention of the entire class at any time, with minimal effort. Additionally, please make sure you treat your fellow students with respect.
Only hit your opponent as hard as you would like to be hit
Often times during training, you will be sparing, in those instances, you may make contact with other students However, all combat should be light touch. If you do strike another student with more force, expect to be reciprocated
Enjoy yourself, have a good workout
Martial Arts is high energy, high cardio sport. As such you will sweat, you get a workout. Have fun and enjoy yourself


This is a static generated site using JSON-LD.json files, npm, gulp, pug, and bootstrap.
Here is my github project.
GitHub Repo


A successful project requires many people to play many roles. Some members write code or documentation, while others are valuable as testers, submitting patches and suggestions.
The team is comprised of Members and Contributors. Members have direct access to the source of a project and actively evolve the code-base. Contributors improve the project through submission of patches and suggestions to the Members. The number of Contributors to the project is unbounded. Get involved today. All contributions to the project are greatly appreciated.
The following is a list of developers with commit privileges that have directly contributed to the project in one way or another.
| Image | Id | Name | Organization | Roles | Time Zone | Actual Time (GMT) | |
|---|---|---|---|---|---|---|---|
| stephenc | Stephen Connolly |<EMAIL_ADDRESS>| - | PMC Chair | 0 | 0 | |
| aheritier | Arnaud Héritier |<EMAIL_ADDRESS>| - | PMC Member | +1 | +1 | |
| baerrach | Barrie Treloar |<EMAIL_ADDRESS>| - | PMC Member | Australia/Adelaide | Australia/Adelaide | |
| bimargulies | Benson Margulies |<EMAIL_ADDRESS>| - | PMC Member | America/New_York | America/New_York | |
| brett | Brett Porter |<EMAIL_ADDRESS>| ASF | PMC Member | +10 | +10 | |
| brianf | Brian Fox |<EMAIL_ADDRESS>| Sonatype | PMC Member | -5 | -5 | |
| carlos | Carlos Sanchez |<EMAIL_ADDRESS>| ASF | PMC Member | +1 | +1 | |
| dennisl | Dennis Lundberg |<EMAIL_ADDRESS>| ASF | PMC Member | +1 | +1 | |
| dfabulich | Daniel Fabulich |<EMAIL_ADDRESS>| - | PMC Member | -8 | -8 | |
| dkulp | Daniel Kulp |<EMAIL_ADDRESS>| ASF | PMC Member | -5 | -5 | |
| evenisse | Emmanuel Venisse |<EMAIL_ADDRESS>| ASF | PMC Member | +1 | +1 | |
| hboutemy | Hervé Boutemy |<EMAIL_ADDRESS>| ASF | PMC Member | Europe/Paris | Europe/Paris | |
| jdcasey | John Casey |<EMAIL_ADDRESS>| ASF | PMC Member | -6 | -6 | |
| krosenvold | Kristian Rosenvold |<EMAIL_ADDRESS>| - | PMC Member | +1 | +1 | |
| markh | Mark Hobson |<EMAIL_ADDRESS>| - | PMC Member | 0 | 0 | |
| mkleint | Milos Kleint | - | - | PMC Member | - | - | |
| oching | Maria Odea B. Ching | - | - | PMC Member | - | - | |
| olamy | Olivier Lamy |<EMAIL_ADDRESS>| - | PMC Member | Australia/Melbourne | Australia/Melbourne | |
| pgier | Paul Gier |<EMAIL_ADDRESS>| Red Hat | PMC Member | -6 | -6 | |
| rfscholte | Robert Scholte |<EMAIL_ADDRESS>| - | PMC Member | Europe/Amsterdam | Europe/Amsterdam | |
| rgoers | Ralph Goers |<EMAIL_ADDRESS>| Intuit | PMC Member | -8 | -8 | |
| snicoll | Stephane Nicoll |<EMAIL_ADDRESS>| ASF | PMC Member | +1 | +1 | |
| struberg | Mark Struberg |<EMAIL_ADDRESS>| - | PMC Member | - | - | |
| vsiveton | Vincent Siveton |<EMAIL_ADDRESS>| ASF | PMC Member | -5 | -5 | |
| wfay | Wayne Fay |<EMAIL_ADDRESS>| ASF | PMC Member | -6 | -6 | |
| agudian | Andreas Gudian |<EMAIL_ADDRESS>| - | Committer | Europe/Berlin | Europe/Berlin | |
| andham | Anders Hammar |<EMAIL_ADDRESS>| - | Committer | +1 | +1 | |
| bdemers | Brian Demers |<EMAIL_ADDRESS>| Sonatype | Committer | -5 | -5 | |
| bellingard | Fabrice Bellingard | - | - | Committer | - | - | |
| bentmann | Benjamin Bentmann |<EMAIL_ADDRESS>| Sonatype | Committer | +1 | +1 | |
| cstamas | Tamas Cservenak |<EMAIL_ADDRESS>| Sonatype | Committer | +1 | +1 | |
| dantran | Dan Tran | - | - | Committer | - | - | |
| dbradicich | Damian Bradicich |<EMAIL_ADDRESS>| Sonatype | Committer | -5 | -5 | |
| fgiust | Fabrizio Giustina |<EMAIL_ADDRESS>| openmind | Committer | +1 | +1 | |
| godin | Evgeny Mandrikov |<EMAIL_ADDRESS>| SonarSource | Committer | +3 | +3 | |
| handyande | Andrew Williams |<EMAIL_ADDRESS>| - | Committer | 0 | 0 | |
| ifedorenko | Igor Fedorenko |<EMAIL_ADDRESS>| Sonatype | Committer | -5 | -5 | |
| imod | Dominik Bartholdi |<EMAIL_ADDRESS>| - | Committer | Europe/Zurich | Europe/Zurich | |
| jjensen | Jeff Jensen | - | - | Committer | - | - | |
| jvanzyl | Jason van Zyl | - | - | Committer | -5 | -5 | |
| khmarbaise | Karl Heinz Marbaise |<EMAIL_ADDRESS>| - | Committer | +1 | +1 | |
| ltheussl | Lukas Theussl |<EMAIL_ADDRESS>| - | Committer | +1 | +1 | |
| mauro | Mauro Talevi | - | - | Committer | - | - | |
| mfriedenhagen | Mirko Friedenhagen |<EMAIL_ADDRESS>| - | Committer | +1 | +1 | |
| michaelo | Michael Osipov |<EMAIL_ADDRESS>| - | Committer | Europe/Berlin | Europe/Berlin | |
| nicolas | Nicolas de Loof | - | - | Committer | - | - | |
| rafale | Raphaël Piéroni |<EMAIL_ADDRESS>| Dexem | Committer | +1 | +1 | |
| simonetripodi | Simone Tripodi |<EMAIL_ADDRESS>| - | Committer | +1 | +1 | |
| tchemit | Tony Chemit |<EMAIL_ADDRESS>| CodeLutin | Committer | Europe/Paris | Europe/Paris | |
| vmassol | Vincent Massol |<EMAIL_ADDRESS>| ASF | Committer | +1 | +1 | |
| aramirez | Allan Q. Ramirez | - | - | Emeritus | - | - | |
| bayard | Henri Yandell | - | - | Emeritus | - | - | |
| chrisjs | Chris Stevenson | - | - | Emeritus | - | - | |
| dblevins | David Blevins | - | - | Emeritus | - | - | |
| dlr | Daniel Rall | - | - | Emeritus | - | - | |
| epunzalan | Edwin Punzalan |<EMAIL_ADDRESS>| - | Emeritus | -8 | -8 | |
| felipeal | Felipe Leme | - | - | Emeritus | - | - | |
| jmcconnell | Jesse McConnell |<EMAIL_ADDRESS>| ASF | Emeritus | -6 | -6 | |
| joakime | Joakim Erdfelt |<EMAIL_ADDRESS>| ASF | Emeritus | -5 | -5 | |
| jstrachan | James Strachan | - | - | Emeritus | - | - | |
| jtolentino | Ernesto Tolentino Jr. |<EMAIL_ADDRESS>| ASF | Emeritus | +8 | +8 | |
| mperham | Mike Perham |<EMAIL_ADDRESS>| IBM | Emeritus | -6 | -6 | |
| ogusakov | Oleg Gusakov | - | - | Emeritus | - | - | |
| pschneider | Patrick Schneider |<EMAIL_ADDRESS>| - | Emeritus | -6 | -6 | |
| ptahchiev | Petar Tahchiev |<EMAIL_ADDRESS>| - | Emeritus | +2 | +2 | |
| rinku | Rahul Thakur | - | - | Emeritus | - | - | |
| shinobu | Shinobu Kuwai | - | - | Emeritus | - | - | |
| smorgrav | Torbjorn Eikli Smorgrav | - | - | Emeritus | - | - | |
| trygvis | Trygve Laugstol |<EMAIL_ADDRESS>| ASF | Emeritus | +1 | +1 | |
| wsmoak | Wendy Smoak |<EMAIL_ADDRESS>| - | Emeritus | -7 | -7 | |
| jruiz | Johnny Ruiz III |<EMAIL_ADDRESS>| - | Emeritus | - | - | |
| kenney | Kenney Westerhof |<EMAIL_ADDRESS>| Neonics | Emeritus | +1 | +1 |


Scots dancer Isla back winning again after life-changing spine op
Isla Robertson, 16, was devastated when she was told she might never dance again after she developed a curve in her back from Scheuermann’s Kyphosis.
by Paul RodgerA determined Highland dancer who had a major spine operation is back winning medals – a year after life-changing surgery.
Isla Robertson, 16, was devastated when she was told she might never dance again after she developed a curve in her back from Scheuermann’s Kyphosis.
But the schoolgirl had a seven-hour op to straighten her back and, despite now having 15 bolts in her spine, she landed six medals on her return to competition at a recent event in Gourock, Inverclyde.
Isla said: “There was never any guarantee I would get back to that stage so to get there, I’m so grateful – it’s really amazing.
“I’m feeling a lot better now. I wasn’t doing anything, it was rubbish – but I’m able to live as a teenager again.”
Isla, from Greenock, added of her medal haul: “It was so good – I placed in every dance I was in.”
Mum Alison, 44, said it’s “massive” seeing her daughter back fit and healthy and able to “live her life again”.


{% extends "layout.html" %} {% block head %} {% endblock %} {% block body %}
Running clouds is very complicated task hopefully now we have Cloud Eagle that simplifies operating clouds by providing multiple functions.
Shows API healthiness based on HTTP response codes, durations and sizes analyze
These things are coming soon, stay tuned!
Shows API Availability based on metrics collected by monitoring services
Shows Key Cloud Performance Metrics based on results of synthetic transactions.
Query virtual and physical resources of cloud using Google Like search engine.
Plan your infrastructure capacity based on utilization history and forecasts
Cleanup unused results and reschedule workloads based on load.
Monitor security of you cloud resources like VM, Security Groups and Images.


Dislike
Facebook is emotionally smarter than we give it credit for, though perhaps not as algorithmically smart as it could be.
I’ve been pondering this for a few weeks now, and Zeynep Tufekci’s “Facebook and the Tyranny of the ‘Like’ in a Difficult World” prodded me to consolidate my thoughts.
(Note: This is not about what Tufekci writes about, exactly, and is not meant as a rebuttal to her argument. I agree with her that post-ranking algorithms need to be smarter. I also believe there are design solutions needed to compensate for the unthinking nature of those algorithms, but that’s a topic for another time.)
Tufekci’s piece perfectly describes the asymmetrical nature of Facebook’s “engagement” mechanisms, commented on for years: there is no negative mirror for the “Like” button. As she says:
Of course he cannot like it. Nobody can. How could anyone like such an awful video?
What happens then to the video? Not much. It will mostly get ignored, because my social network has no way to signal to the algorithm that this is something they care about.
What I’ve been thinking of late is that the people in her network can comment as a way to signal their interest, caring, engagement, whatever you want to call it. When “Like” doesn’t fit, comments are all that’s left, and I think that’s appropriate.
In a situation like Tufekci describes, or any post that deals with the difficult side of life, comments are exactly what’s called for. Imagine if there were a “Dislike” button. How many would just click it without commenting? Before you answer that question, consider: how many click “Like” without commenting? How many more would use “Dislike” as a way to avoid dealing with the situation at hand?
When someone posts something difficult—about themselves, or someone they care about, or the state of the world—they are most likely seeking the support of their community. They’re asking to be heard. Comments fill that need. In an era of Likes and Faves and Stars and Hearts, a comment (usually) shows at least some measure of thought and consideration. It shows that the poster has been heard.
Many of those posts can be hard to respond to. I know, because many of the Facebook posts my wife and I were making two years (and one year) ago right now were doubtless incredibly hard to read. I remember many people leaving comments along the lines of, “I don’t know what to say, but I’m thinking of you all.” And even that probably felt awkward and insufficient to those who left such comments. Crisis and grief and fear in others can make us very uncomfortable. Pushing past that discomfort to say a few words is a huge show of support. It matters.
Adding “Dislike” would be a step backward, in terms of emotional intelligence. It could too easily rob people who post about the difficult parts of life of something they clearly seek.


Neuroplasticity and Growth Mindset
Sprint Four Cultural Blog | Tuesday 1st December, 2020
Neuroplasticity
Neuroplasticity refers to the brain’s ability to adapt to new situations and is the process by which all permanent learning takes place in your brain. Every time we learn something new, we are harnessing the power of neuroplasticity. When you repeatedly practise an activity or access a memory the neural pathways of the brain are changed, these connections are constantly becoming stronger or weaker according to our experiences. Repeated thinking, feeling and doing strengthens a pathway and makes it easier to follow this pathway. When we stop practising, the brain will eventually eliminate the cells that formed the pathways. Its like any other muscle in our body, if you don't use it, you lose it.
Understanding how neuroplasticity works gives us the knowledge that we can learn and change our way of thinking and that our abilities are not fixed and can be improved on through repetition.
How to improve neuroplasticity:
- Quality sleep.
- Learning something new.
- Regular exercise.
- Reduce stress through mindfulness.
- Find a purpose for why you are learning
- Read a novel.
Check out this helpful video about neuroplasticity and learning:
Growth Mindset
The growth mindset is the understanding that your abilities can be developed through sustained effort.  So when conflicts arise a fixed mindset usually results in avoidance due to the fear of failure. When you embrace the growth mindset, problems can be seen as opportunities to learn and constructive criticism can be seen as an opportunity to improve. This mindset uses effort and difficulty to create growth and puts importance on trying instead of the final outcome. It is also important to note that we may have a growth mindset in one area and a fixed mindset in another.
A few ways to embrace the growth mindset are:
- View challenges as opportunities.
- Replace failure with learning.
- Value the process over the final outcome.
- Utilise the knowledge of neuroplasticity and practice practice practice.


Hi there!
Using this little webapp here you can freely generate all the SMS messages as they are being used in the Intertechno SMS Switch.
Please enter the password you are using for your gateway. This will be used later when sending commands to any of your receivers or when storing the timer configuration.
Using this message format you can enable or disable the callback settings.
PLEASE NOTE that you are expected to provide valid mobile numbers which a maximum length of 20 digits.
Use this slider to set the dim level of the receiver.
Please pick the type of receiver you have - either a codewheel based or using a learncode - and after setting up its options below you will find the commands that would be necessary to set the receiver accordingly.
{{ module.on() }}
{{ module.off() }}
{{ module.dim() }} Only modules using learncodes are dimmable! (and not all of them)
If timers are configured on the SMS Switch then it will autonomously send the configured codes on the specified days and times.
Please also note that the day and time has to be given for the timers to trigger on the correct day and times.


APIErrorRetable
public protocol APIErrorRetable : ErrorReason, Decodable
‘APIErrorRetable’ is a protocol to describe the business API return data status. API return always contain ‘code’ and ‘message’, can use code to resolve whether the data is use for show or show error content
For example:
struct APIErrorCode: APIErrorRetable {
var code: Int
var message: String
var localizedDescription: String { return "Code: \(code), Message: \(message)" }
func isValidCode() -> Bool { return code == 0 }
}
-
API return status code
Declaration
Swift
var code: Int { get set }
-
API return status message
Declaration
Swift
var message: String { get set }
-
Resolve whether the returned data is the correct return data.
Declaration
Swift
func isValidCode() -> Bool
Return Value
true means ‘code’ is right, false means is wrong


Lists are made up of a continuous column of rows. Each row contains a tile. Primary actions fill the tile, and supplemental actions are represented by icons and text.
Lists are best suited for similar data types.:
Determinate indicators display how long an operation will take.
Indeterminate indicators visualize an unspecified wait time.
Vertical and Horizontal scrolling
Filtering and Sorting
Swipe
Drag and drop
A list consists of a single continuous column of tessellated sub-divisions of equal width called rows that function as containers for tiles.
Tiles hold content, and can vary in height within a list.
Lists are best suited to presenting a homogeneous data type or sets of data types, such as images and text. They are optimized for reading comprehension while differentiating either between similar data types, or qualities within a single data type.
When the mouse and keyboard are the primary input methods, measurements may be condensed to accommodate denser layouts.
Lists scroll vertically and horizontally.
The swipe action of each tile should be consistent within lists.
Smart.ListBox provides Swipe left and Swipe right events to allow even more customizability.
Tiles may be moved between a list and drop target (similar to moving a file into a folder) and picked up and manually reordered within a list.
Reorder property allows the items inside the list box to be moved.
Items can even be moved accross list boxes.
List box A
List box B
List tiles can be sorted or filtered by date, file size, alphabetical order, or other parameters.
List tiles can contain text with icons. Thanks to the itemTemplate property any HTML code can be placed inside the tiles.
List tiles can also contain avatars.
Alphabetical sorting makes information easier to find.
Filtering allows the user to quickly find the needed items.
Lists can have multiple lines of text.
Example of a two-line list.
Example of a two-line list with icon.


* **General purpose** programming language
* "Sweet spot" between *"proof-of-concept"* and *"production-ready"*
* Industry standard: **GIS** (Esri, QGIS) and **Data Science** (Google, Facebook, Amazon, Netflix, The New York Times, NASA...)
Self-directed learning
Prepare for the labs
**I won't** be leading/lecturing at the computer labs
**Go over the notebooks** before the lecture and the computer lab
--> If the first time you see a notebook is at the lab, you won't be able to
follow on
**Bring** questions, comments, feedback, (informed) rants to class/labs
Use the **Team**
**Collaborate** (it's **NOT** a zero-sum win!!!)
More help!!!
This course is much more about "learning to learn" and problem
solving rather than acquiring specific programming tricks or stats wizardry
Learn to **ask** questions (but don't expect
exact answers all the time!!!)
**Help** others as much as you can (the best way to learn is to teach)
**Search** heavily on Google + Stack Overflow
Assignments
In-lab computer tests: W.5 (25%) and W.10 (25%)
Computational essay (W.12, 50%)
Equivalent to 2,500 word
Report (notebook) with code, figures (e.g. maps), and text
Discussion board (5%)
NOTE: recommendation letters only for great students (>70)
#
The (geo-)data revolution
The (geo-)data revolution
Exciting times to be a:
Geographer
Map fan
Data fan
The world is being "datafied"...
"Datafication"
Quantification of phenomena through the systematic recording of data, "taking all aspects of life and turning them into data"(Cukier &
Mayer-Schoenberg)
Examples: credit transactions, public transit, tweets, facebook likes, spotify songs, etc.
"Datafication"
Many implications:
Window into human behaviour (this course)
Opportunities for optimization of systems (Industrial IoT, planning
systems...)
Issues with intentionality and privacy
...
Why now?
Advances in:
* Computing power and storage
* Connectivity
* Geospatial technology
The (geo-)data revolution
The confluence of the three (computing, communication and geospatial) is
creating large amounts of data.
Now, data in itself is not very valuable:
Data --> Information --> Knowledge --> Action
Data Science
*Methods, tools and techniques to turn data into **actionable
knowledge** *
Data Science
Statistics + ...
Computational tools --> Programming (hence this course's tutorials!)
Comunication skills --> "Story telling" (hence this course's assignments)
Domain expertise --> Theories about why the data are the way they are (hence
the rest of your degree)


ST.CECHINI MANSION
COUNTRY: ARGENTINA
STATE/PROVINCE: CORRIENTES
SIZE: 120x100m2
PRICE: 7500$
CATEGORY: MANSION
PROCEED
-
PHONE:+543783123456
-
WEBSITE:MANSIONS.COM
-
SCORE:8/10
-
PETFRIENDLY:YES
From the outside this house looks magnificent. It has been built with spruce wood and has spruce wooden decorations. Tall, large windows add to the overall style of the house and have been added to the house in a fairly asymmetrical pattern. The house is equipped with a small kitchen and one modern bathroom, it also has a cozy living room, three bedrooms, a grand dining room, a sun room and a snug storage room.


We make tasty cookies with a hint of fishy goodness that the whole family will love!
We have locations in Seattle, Tokyo, Dubai, Paris, and Lima!
- Seattle: 2933 2nd Ave, Seattle, WA 98121
- Tokyo: 〒361-0077 埼玉県行田市忍２丁目１−8
- Dubai: Financial Center Street, Along Sheikh Zayed Road, Next to Burj Khalifa - United Arab Emirates
- Paris: Prom. Quai Branly, 75007 Paris, France
- Lima: Avenida Emancipación 799, Cercado de Lima 15001, Peru
We are constantly developing new products that you will enjoy!


{{ enquiry.company_hq_address }}
Company search
{% for company in search_results %} {% include 'snippets/company_search_result.html' with company_name=company.name company_address=company.address datahub_id=company.datahub_id company_number=company.company_number duns_number=company.duns_number %} {% endfor %}
I can't find what I'm looking for
Try:
- checking for spelling errors
- checking if the right country was selected
- check you're using the company's registered name
- checking or removing the postcode
- removing "limited" or "ltd"


Denis
Novik
UX | UI designer 24 years old, Minsk
RU|ENG
About me
Hi, I'm Denis – UX/UI designer from Minsk. I'm interested in design and everything connected with it.
I'm studying at courses "Web and mobile design interfaces" in IT-Academy.
Ready to implement excellent projects with wonderful people.
Skills
I work in such programs as


WOLTH
Wake on LAN through HTTP
Config
MAC: ${WOLTH_MAC}
Address: ${WOLTH_ADDRESS}
PORT: ${WOLTH_PORT}
Control
Wake with curl:
$ curl -X POST http://${endpoint}/
Or just a click:
Wake


WITNESS LIST Veteran Affairs & Military Installations Committee March 21, 2001 - 3:00P SB 907 ON: Luedecke, Alvin Director of Transportation and Planning (Texas Department of Transportation), Austin, TX Registering, but not testifying: For: Gutierrez, Hector Public Affairs (City of El Paso), El Paso, TX Uribarri, Laura Vice President (Greater El Paso Chamber of Commerce), El Paso, TX SB 1164 ON: Gauer, Ralph Legislative Aide (Senator Troy Fraser), Austin, TX SB 1214 FOR: Nino, Teresa Director of Comm. and Workforce Dev. (Greater Kelly Development Authority), San Antonio, TX Shields, Chris Attorney (Greater Kelly Development Authority), Austin, TX Williams, Terri Small Business Manager (Greater Kelly Development Authority), San Antonio, TX SB 1558 FOR: Nino, Teresa Director of Comm. and Workforce Dev. (Greater Kelly Development Authority), San Antonio, TX Shields, Chris Attorney (Greater Kelly Development Authority), Austin, TX Williams, Terri Small Business Manager (Greater Kelly Development Authority), San Antonio, TX Registering, but not testifying: For: Davis, Ed Economic Development Manager (City of San Antonio), San Antonio, TX


Supreme Court to hear P. Chidambaram’s bail plea
New Delhi: The Supreme Court on Monday agreed to hear former finance minister P. Chidambaram’s bail plea in the INX Media money laundering case. A bench headed by Chief Justice S.A. Bobde said that the court will hear the plea either on Tuesday or Wednesday. Chidambaram’s counsel Kapil Sibal moved his bail plea and sought an urgent hearing in the Supreme Court, challenging the Delhi High Court order denying him bail.
The Delhi High Court on Friday rejected the bail application of the Congress leader in the Enforcement Directorate’s case relating to the INX-Media. A single-judge bench of the High Court, presided by Justice Suresh Kumar Kait, turning down the plea for relief observed that the allegations against the veteran politician are “serious” in nature and that the case is not fit for granting him bail. The Enforcement Directorate, which is probing the money laundering case, had arrested Chidambaram last month. He is currently under judicial custody in Tihar Jail. While opposing the bail plea, the agency asserted that Chidambaram used the high office of the country “for his personal gains”. (IANS)
Also Read: P. Chidambaram urges Congress to lead an attack on government
Also Watch: MOU signed between Marwari Hospitals and Delhi’s Sir Ganga Ram Hospital in Guwahati


--- layout: page title: About header-img: "img/about-bg.png" ---
The purpose of exploring to help candidate fit the best where they want to be. This project will show more about companies' background such as location, reviews. They will also update what company is currently hiring at this moment.


Version control is an essential tool that allows programmers the ability to save copies of their files at a particular point-in-time. In doing so, programmers can maintain a running revision history, granting them accessibility to past versions of their files. This optimizes the debugging process by allowing programmers a way to pin-point the exact version that the bug was introduced. Programmers can then revert back to working on a previous, bug free version. To make the subject of version control more relatable to a non-programmers, version control can be applied to the context of video game. Prior to fighting the boss, players can save their current position in the game as a security measure. In the event that the player does die during battle, the player can continue playing from the last location they saved prior to the fight.
Git is a version control system that tracks changes by allowing users to save contents of their files locally, at it's current state. This is achieved through git add
. git add
tells Git to turn modified files and new file that the users want to save into tracked files. From there, tracked files can be saved with git commit -m "message"
. By repeating the above steps, multiple versions of a file are saved, which creates a revision history showcasing the changes made to the code.
Github is important to the coding community because it provides a place where programmers can store their projects, Git repositories, remotely on the internet. Github's user-friendly platform allows programmers to easily view, compare and merge commits. The pull request feature on Github simplifies the merging process by allowing others to review, comment and approve code updates before being merged.


Match Interface
Match contains methods to manipulate a regular expression match.
Iterables of Match objects are returned from RegExp matching methods.
The following example finds all matches of a RegExp in a String and iterates through the returned iterable of Match objects.
[: RegExp exp = const RegExp(@"(\w+)"); String str = "Parse my string"; Iterable<Match> matches = exp.allMatches(str); for (Match m in matches) {
String match = m.group(0);
print(match);
}; :]
The output of the example is:
Parse
my
string
Implemented by
Methods
Code String group(int group) #
Returns the string matched by the given group. If group is 0, returns the match of the regular expression.
String group(int group);
Code List groups(List groups) #
Returns the strings matched by groups. The order in the returned string follows the order in groups.
List<String> groups(List<int> groups);


Now what?
Created by Kayla Watson - Sr. Designer at Hall mc
Where to Start
Good To Know
Concluding Thoughts
Ready, set, go!
Don't know where to start? Just do it.
Agency
Creative / Busy / Different Clients
Corporate
Repetitive / Steady / Consistent
Freelance
Creative-ish / Ebs & Flows / You're in Control
Where to look?
London Creative Network
@LdnTechJobs
Word of Mouth
Peer Referral
Portfolio Time
Be different - be you.
You are your portfolio's guru!
Practice talking about your work and what makes it great.
Interviews
They like you! Congrats, that's half the battle.
What Happens?
A typical agency interview.
Your Resume & Experience
What Are You Looking For?
Your Portfolio
Salary Expectations
Do You Have Any Questions?
My Interview Question Hall of Fame
The best and worst.
What's your best quality?
What's your worst quality?
Have you ever had a problem working with someone?
What would that person say about you?
Why are you leaving your current company?
Tell us a joke!
They made you an offer.
To accept or not to accept that is the question.
Your First Days
Well this is awkward.
It is impossible to learn what you think you already know.
Epictetus
Hindsight is 20/20
What I wish I knew 2 years ago.
Find Someone to trust
A mentor or friend in the industry.
It's not rainbows
and sunshine all the time
Sorry!
agency life red flags
Un-paid overtime.
We've got some cool stuff in the hopper.
Little regard for work/life balance.
Opportunity to Be More Creative
Beer Time & Great Christmas Parties
Concluding thoughts
Just Do It
Connect, Connect & Connect
Enjoy It & Have Some Fun!
Kayla Watson
Sr. Designer at Hall mc
kayla@hallmc.com


[% WRAPPER layout title = "Information for new attendees" lang = "en" h1 = "Welcome!" this = "new.html" %]
If you have never been to a Linux Bier Wanderung before, you are most welcome to join us. To describe the event a bit better, I've tried to answer some questions you might have about the event.
Is it all about Linux? Whether you bring a computer or not is entirely up to you! Some of us get involved with working on projects, others (such the author) prefer to spend the week away from computers enjoying the scenery.
Are families welcome? An important question as we find outselves getting older. Yes, the LBW is a family friendly event. (Pubs may or may not admit children, of course.)
What happens in a day at LBW? In the morning we will usually meet in the hall, which serves as a meeting point for the week. There will likely be notices up for planned walks, excursions, talks, or other events. You can head off on one of these, or relax in the hall. In the evening a pub-of-the-day will be selected, and we will head there for food and drink. This year we have a kitchen in the hall, so cooking together there may well happen.
When do I need to turn up? See the website or registration site for the next event for the precise dates. You don't need to stay for the whole week, or indeed stay over night. If it helps you decide when, our registration site has a calendar of events people have planned in advance.
Where do I stay? You need to organise accomodation yourself, there is no recommended place. The organisers will usually compile a list of local accomodation of varying types, ranging from a campsite to hotels.
What does it cost? To cover the cost of hiring the hall there is a suggested donation, probably in the region of €30 per person.
How do I register? We have a registration website to help us plan the week. If you're coming, create an account and sign up! (All accounts need currently need to be approved by hand to prevent spam, so it may take a day or so for your account to be activated. If you get stuck, email us or ask in IRC.)
What should I bring Things that you would like to enjoy playing with during the week. Walking boots, laptops and bikes are popular. Others bring radio equipment, electronics and climbing gear. Up to you!
How do I find out what's going on? We have a lowish traffic mailing list. If you're thinking of coming, join it. It's the best way to find out what is organised, and what we could organise. You can also find us on IRC.
Who organises it? Each year a different team organises the event. Volunteers are welcome!


The Types API will closely follow the method of type construction in XML Schema, where complex types are composed (built up from) other complex types and of simple types. Simple types are restrictions of built-in primitive types.
Built in types, also known as primitive types, have a special namespace, and do not have a base type. User defined types can use any other namespace, so that the user defined type could have the same name as a primitive type without creating a conflict. The definition of a type is somewhat complicated. There are a number of methods of defining a type. The tWSDL Type Component will support many, but not all of these methods. One API procedure will be needed for each method of defining a type. Here is a list of the most useful methods:
# call with typeNamespace, typeName, validation code, description ::wsdl::types::primitiveType::new tcl anySimpleType {return 1} \ {Base type, should return true for every case} # then the following should return 1 in every case: ::wsdb::types::tcl::anySimpleType::validate "My String Always Valid" # Assumes that newPrimitiveType places primitive types in a namespace called 'tcl'
proc ::wsdl::types::simpleType::new {typeNamespace typeName baseType} {...} # call with type namespace, type name, base type ::wsdl::types::simpleType::new "vs" numbers xsd::integer # Note that this simply aliases the type xsd::integer calling it 'numbers' # You call the validation code by reference: $::wsdb::types::vs::numbers::validate 8
Restriction by Enumeration:
proc ::wsdl::types::simpleType::restrictByEnumeration {typeNamespace typeName baseType enumerationList} {...} # call with typeNamespace, typeName, baseType and enumerated list of possible values: ::wsdl::types::simpleType::restrictByEnumeration "vs" someNumbers vs::numbers {5 6 7 8 9} # The following should return false (0): $::wsdb::types::vs::someNumbers::validate 10
Restriction by Pattern
::proc ::wsdl::types::simpleType::restrictionByPattern {typeNamespace typeName baseType pattern} {...} # Call with typeNamespace, typeName baseType and regular expression: ::wsdl::types::simpleType::restrictionByPattern vs guid xsd::string { [0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}} # use the type variable for validation: $::wsdb::types::vs::guid::validate 92ab783d-9303-571F-AC32-03bAcD9671F1
Notice that in order to validate a simple type, you use the value of the variable validate. When a new simpleType is created, a Tcl namespace is defines which at minimum contains the variable validate which references a procedure which handles the validation. This allows the developer to use any previously written Tcl procedure, the only restriction is that the procedure must return 1 if the data is valid and 0 otherwise. Complex type validation follows an similar pattern except that the validation procedure takes a reference to the complexType (Tcl namespace).
The following is an example of how to approach the construction of an API to build up a type based upon the XML fragment representing the type.
Restriction by Enumeration:
<s:simpleType name="CreditCardTypeCode"> <s:restriction base="xsd:string"> <s:enumeration value="Visa" /> <s:enumeration value="Mastercard" /> <s:enumeration value="AmericanExpress" /> <s:enumeration value="Discover" /> <s:enumeration value="DinersClub" /> </s:restriction> </s:simpleType>
This simpleType can be create via the following API call:
::wsdl::types::simpleType::restrictByEnumeration vs CreditCardTypeCode xsd::string { "Visa" "Mastercard" "AmericanExpress" "Discover" "DinersClub" }
Notice that the 'vs' type namespace (prefix/alias) is not shown in the WSDL file because vs is the targetNamespace, and uses the prefix 'tns' in the WSDL file.
Restriction by Pattern:
<s:simpleType name="guid"> <restriction base="xsd:string"> <pattern value="[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}" /> </s:restriction> </s:simpleType>
This simpleType can be create via the following API call:
::wsdl::types::simpleType::restrictByPattern vs guid xsd::string \ {[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}};
Model Group Sequence:
<xsd:complexType name="DonorDataResponse"> <xsd:sequence> <xsd:element minOccurs="0" maxOccurs="1" name="Result" type="tns:DonorData" /> <xsd:element minOccurs="0" maxOccurs="1" name="Source" type="xsd:string" /> <xsd:element minOccurs="0" maxOccurs="20" name="ErrorMessageList" type="tns:ErrorString" /> <xsd:element minOccurs="0" maxOccurs="1" name="StackTrace" type="xsd:string" /> </xsd:sequence> </xsd:complexType>
The DonorDataResponse would be defined in the following way:
::wsdl::elements::modelGroup::sequence::new vs DonorDataResponse { {Result:elements::vs::DonorData {minOccurs 0}} {Source {minOccurs 0}} {ErrorMessageList:vs::ErrorString {minOccurs 0 maxOccurs 20}} {StackTrace {minOccurs 0}} } # Note1: When the base type is xsd:string, # you do not need to include any type information. # # Note2: If the base type namespace is XML Schema (xsd prefix), # you do not need to include the prefix (xsd::dateTime = dateTime) # Note3: when the base type is a complexType, # you have to prefix the base type with 'elements::' # The referenced base complexType must exists prior to use.
Model Group Sequence (Extend complexType) [Note: Unimplimented]:
<xsd:complexType name="DirectBillDonationPaymentData"> <xsd:complexContent mixed="false"> <xsd:extension base="tns:DonationPaymentData"> <xsd:sequence> <xsd:element minOccurs="1" maxOccurs="1" name="StartDate" type="xsd:dateTime" /> <xsd:element minOccurs="0" maxOccurs="1" name="BillingAddress" type="tns:AddressData" /> </xsd:sequence> </xsd:extension> </xsd:complexContent> </xsd:complexType>
::wsdl::elements::modelGroup::sequence::extendSequence vs\ "DirectBillDonationPaymentData"\ "elements::vs::DonationPaymentData" \ { {StartDate:dateTime} {BillingAddress:vs::AddressData {minOccurs 0}} }
Note: Extending a sequence is not supported, but here are some ideas:


Implements a multiscale scheme for approximating convolution with large filters. This is the basis of the technique described in Convolution Pyramids, Farbman et al., 2011. A set of filter parameters can be estimated through an offline optimization for each desired task: gradient field integration, seamless image cloning, background filling, or scattered data interpolation.
More...
#include <ConvolutionPyramid.hpp>
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const Program * | _downscale |
| | Pyramid descending pass shader.
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| |
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const Program * | _upscale |
| | Pyramid ascending pass shader.
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| |
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const Program * | _filter |
| | Filtering shader for the last pyramid level.
|
| |
|
const Program * | _padder |
| | Padding helper shader.
|
| |
|
std::unique_ptr< Framebuffer > | _shifted |
| | Contains the input data padded to the right size.
|
| |
|
std::vector< std::unique_ptr< Framebuffer > > | _levelsIn |
| | The initial levels of the pyramid.
|
| |
|
std::vector< std::unique_ptr< Framebuffer > > | _levelsOut |
| | The filtered levels of the pyramid.
|
| |
|
float | _h1 [5] = {0.0f, 0.0f, 0.0f, 0.0f, 0.0f} |
| | h1 filter coefficients.
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| |
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float | _h2 = 0.0f |
| | h2 filter multiplier.
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| |
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float | _g [3] = {0.0f, 0.0f, 0.0f} |
| | g filter coefficients.
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| |
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glm::ivec2 | _resolution = glm::ivec2(0) |
| | Resolution expected for the input texture.
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| |
|
const int | _size = 5 |
| | Size of the filter.
|
| |
|
int | _padding = 0 |
| | Additional padding.
|
| |
Implements a multiscale scheme for approximating convolution with large filters. This is the basis of the technique described in Convolution Pyramids, Farbman et al., 2011. A set of filter parameters can be estimated through an offline optimization for each desired task: gradient field integration, seamless image cloning, background filling, or scattered data interpolation.
◆ ConvolutionPyramid()
| ConvolutionPyramid::ConvolutionPyramid |
( |
unsigned int |
width, |
|
|
unsigned int |
height, |
|
|
unsigned int |
inoutPadding |
|
) |
| |
Constructor.
- Parameters
-
| width | internal processing width |
| height | internal processing height |
| inoutPadding | additional padding applied everywhere except on the final result texture |
- Note
- This is mainly used for the gradient integration task.
◆ clean()
| void ConvolutionPyramid::clean |
( |
| ) |
const |
Cleanup internal resources.
◆ height()
| unsigned int ConvolutionPyramid::height |
( |
| ) |
|
|
inline |
Returns the height expected for the input texture.
- Returns
- the height expected
◆ process()
| void ConvolutionPyramid::process |
( |
const Texture * |
textureId | ) |
|
Filter a given input texture.
- Parameters
-
| textureId | the GPU ID of the texture |
- Note
- Those filters are separable, and could be applied in two passes (vertical and horizontal) to reduce the texture fetches count.
◆ resize()
| void ConvolutionPyramid::resize |
( |
unsigned int |
width, |
|
|
unsigned int |
height |
|
) |
| |
Resize the internal buffers.
- Parameters
-
| width | the new width |
| height | the new height |
◆ setFilters()
| void ConvolutionPyramid::setFilters |
( |
const float |
h1[5], |
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|
float |
h2, |
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|
const float |
g[3] |
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) |
| |
Setup the filters parameters for a given task.
- Parameters
-
| h1 | the 5 coefficients of h1 |
| h2 | the multiplier coefficient h2 |
| g | the 3 coefficients of g |
- Note
- See Convolution Pyramids, Farbman et al., 2011 for the notation details.
◆ textureId()
| const Texture* ConvolutionPyramid::textureId |
( |
| ) |
const |
|
inline |
The GPU ID of the filter result.
- Returns
- the ID of the result texture
◆ width()
| unsigned int ConvolutionPyramid::width |
( |
| ) |
|
|
inline |
Returns the width expected for the input texture.
- Returns
- the width expected
The documentation for this class was generated from the following files:


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mc_comp - Revision 481: /Memulator/system/DCmc
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The SM is the heart of NVIDIA unified GPU architecture. Most of the key hardware units for graphics processing reside in the SM. The SM CUDA cores perform pixel/vertex/geometry shading and physics/compute calculations. Texture units perform texture filtering and load/store units fetch and save data to memory. Special Function Units (SFUs) handle transcendental and graphics interpolation instructions. There are eight SMX in GeForce GTX 680 instead of sixteen as in the GTX580).
r 0.45
To feed the execution resources of SMX, each unit contains four warp schedulers, and each warp scheduler is capable of dispatching two instructions per warp every clock. More importantly, the scheduling functions have been redesigned with a focus on power efficiency. For example: Both Kepler and Fermi schedulers contain similar hardware units to handle scheduling functions, including, (a) register score boarding for long latency operations (texture and load), (b) inter- warp scheduling decisions (e.g., pick the best warp to go next among eligible candidates), and (c) thread block level scheduling (e.g., the GigaThread engine); The SMX schedules threads in groups of 32 parallel threads called warps. Each SMX features four warp schedulers and eight instruction dispatch units, allowing four warps to be issued and executed concurrently. Kepler’s quad warp scheduler selects four warps, and two independent instructions per warp can be dispatched each cycle. All cores in a multiprocessor have on-chip shared resources, including 255 local 32- bit registers per thread and one on-chip fast memory of size 64Kbyte, which enable threads cooperation and transparent caching 20. Threads variables typically reside in live registers. The on-chip shared memory has very low access latency and high bandwidth similar to an L1 cache; it holds CUDA variables for the active thread blocks. The shared memory allows the parallel threads run on the cores in a MP to share data without sending it over the system memory bus.


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The differential effect of temperature on predators and prey ... |
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Figure 2
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The potential effects of changes in temperature on predator– ... |
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Figure 3
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The escape response of golden grey mullets ( Liza aurata). ( ... |
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Figure 4
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The potential effects of changes in oxygen level on predator ... |
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Figure 5
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The effect of elevated CO 2 on predator attack behaviour [le ... |
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Figure 6
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The effect of temperature (27 and 30°C) and elevated CO 2 (4 ... |


| Jump to DART Documentation Main Index |
DART interface module for the dynamical core of the GFDL AM2 Bgrid model. This model is subroutine callable
from DART and can be run in a similar fashion to low-order models that produce diagnostic output files
with multiple assimilation times per file.
The Bgrid model was originally
configured as a comprehensive atmospheric model (Anderson et al. 2004). All of that code remains in the directories under the
models/bgrid_solo directory, however, much of the capability has been disabled by code modification. What is
left is a dry dynamical core for a model with no dirunal cycle at equinox with Held-Suarez forcing (Held and
Suarez 1994). The default
settings are for a model with a 60x30 horizontal grid and 5 vertical levels. This is close to the smallest
version that has somewhat realistic baroclinic instability resulting in mid-latitude 'storm tracks'. The
model resolution can be changed with the entries in the bgrid_cold_start_nml. It may be necessary to change
the model time step to maintain stability for larger model grids. The model state variables are the gridded
surface pressure, temperature, and u and v wind components.
Some examples of ways in which this model can be configured and modified to test DART assimilation capabilities
are documented in Anderson et al. (2005).
Several programs that generate interesting observation sequences are available in the models/bgrid_solo directory.
These programs take interactive user input and create a text file that can be piped into program
create_obs_sequence to create obs_sequence files. These can serve as examples for users who are interested
in designing their own custom obs_sequence files.
Program column_rand creates an obs_sequence with randomly located columns of observations (essentially
synthetic radiosondes) that observe surface pressure along with temperature and wind components at all model
levels.
Program id_set_def_stdin generates an obs_sequence file that observes every state variable with error variance
of 10000 for surface pressure and 1.0 for temperature and wind components.
Program ps_id_stdin generates an obs_sequence that observes every surface pressure variable for the default
model size (30x60) with an error variance of 100.
Program ps_rand_local generates a set of randomly located surface pressure observations with an interactively
specified error variance. It also allows the observations to be confined to a rectangular subdomain.
This namelist is read from the file input.nml. Namelists start with an ampersand '&' and terminate with a slash '/'. Character strings that contain a '/' must be enclosed in quotes to prevent them from prematurely terminating the namelist.
&model_nml current_time = 0, 0, 0, 0 override = .false., dt_atmos = 3600, days = 10, hours = 0, minutes = 0, seconds = 0, noise_sd = 0.0, dt_bias = -1, state_variables = 'ps', 'QTY_SURFACE_PRESSURE', 't', 'QTY_TEMPERATURE', 'u', 'QTY_U_WIND_COMPONENT', 'v', 'QTY_V_WIND_COMPONENT', template_file = 'perfect_input.nc' / # only used if initial conditions file not specified in run &bgrid_cold_start_nml nlon = 60, nlat = 30, nlev = 5, equal_vert_spacing = .true. / #Values set in hs_forcing_nml are from: #Held, I. M., and M. J. Suarez, 1994: A proposal for the intercomparison of the dynamical cores of atmospheric general circulation models. #Bulletin of the American Meteorological Society, 75(10), 1825-1830. &hs_forcing_nml delh = 60., t_zero = 315., t_strat = 200., delv = 10., eps = 0., ka = -40., ks = -4., kf = -1., sigma_b = .7, do_conserve_energy = .false. / &bgrid_core_driver_nml damp_coeff_wind = 0.10, damp_coeff_temp = 0.10, damp_coeff_tracer = 0.10, advec_order_wind = 4, advec_order_temp = 2, advec_order_tracer = 2, num_sponge_levels = 1, sponge_coeff_wind = 1.00, sponge_coeff_temp = 1.00, sponge_coeff_tracer = 1.00, num_fill_pass = 2, decomp = 0,0, num_adjust_dt = 3, num_advec_dt = 3, halo = 1, do_conserve_energy = .false. / &bgrid_integrals_nml file_name = 'dynam_integral.out', time_units = 'days', output_interval = 1.00 /
| Item | Type | Description |
|---|---|---|
| current_time(4) | integer | Specifies the initial time of the Bgrid model internal clock. The four integer values are the day, hour, minutes, and seconds. The default version of the Bgrid model has neither a diurnal or seasonal cycle, so these can all be set to 0, the default value. |
| override | logical | If true, then the initial model date is taken from namelist entry current_time, even if an atmos_model.res file is found in directory INPUT. For most DART applications, atmospheric restart values are coming from DART files and no INPUT directory is used. |
| dt_atmos | integer | Model timestep in seconds. |
| noise_sd | real(r8) | Standard deviation of random perturbations to the time tendency of temperature applied at each timestep. Each gridpoint value of the computed temperature tendency is multiplied by 1+N(0, noise_sd) before the updated values of temperature are computed. |
| dt_bias | integer | Allows a simple mechanism to simulate model error. If dt_bias is non-zero, the assimilation programs believe that each model advance changes the time by dt_bias. However, internally the bgrid model is moving things forward by dt_atmos. By running perfect_model_obs with one time step for the internal bgrid clock (for instance dt_atmos = 3600, dt_bias = 3600), and filter with another (dt_atmos = 3000, and dt_bias = 3600) model error is simulated. |
| state_variables(:,2) | character(len=129) | Strings that identify the bgrid_solo variables that should be part of the DART state vector. The first column is the netCDF variable name, the second column is the corresponding DART quantity. |
| template_file | character(len=256) | This is the name of the file that specifies the resolution of the variables DART uses to create the DART state vector. If template_file = "null" the &bgrid_cold_start_nml namelist variables are used to specify the resolution. The actual input filenames for filter and perfect_model_obs come from their respective namelists. The resolutions in the file specified in template_file must match the resolutions of the variables in the input filenames. To start an experiment with a new model resolution, set template_file to "null" and set the resolutions in bgrid_cold_start_nml. |
| The following values are set in the bgrid_cold_start_nml | ||
| nlon | integer | The number of longitudes on the model grid. |
| nlat | integer | The number of latitudes on the model grid. |
| nlev | integer | The number of model levels. |
| equal_vertical_spacing | logical | Model levels are equally spaced in pressure if true. |
The Held-Suarez forcing details can be modified with the hs_forcing_nml namelist using the documentation in Held and Suarez (1994).
Model dynamics can be adjusted with the bgrid_core_driver_nml following the documentation in the references and internal documentation in the bgrid code.
bgrid_core_driver_mod bgrid_prog_var_mod bgrid_horiz_mod bgrid_change_grid_mod bgrid_vert_mod bgrid_halo_mod hs_forcing_mod location_mod random_seq_mod types_mod utilities_mod obs_kind_mod mpi_utilities_mod ensemble_manager_mod distributed_state_mod state_structure_mod dart_time_io_mod time_manager_mod fms_mod
Know that these modules have their own dependencies
A namelist interface &model_nml may be defined by the module, in which case it will be read from file input.nml. The details of the namelist are always model-specific (there are no generic namelist values).
A note about documentation style. Optional arguments are enclosed in brackets [like this].
integer :: get_model_size
Returns the length of the model state vector. Required.
| model_size | The length of the model state vector. |
real(r8), dimension(:), intent(inout) :: x type(time_type), intent(in) :: time
Does a single timestep advance of the model. The input value of the vector x is the starting condition and x must be updated to reflect the changed state after a timestep. The time argument is intent in and is used for models that need to know the date/time to compute a timestep, for instance for radiation computations. This interface is only called if the namelist parameter async is set to 0 in perfect_model_obs or filter or if the program integrate_model is to be used to advance the model state as a separate executable. If one of these options is not going to be used (the model will only be advanced as a separate model-specific executable), this can be a NULL INTERFACE. (The subroutine name must still exist, but it can contain no code and it will not be called.)
| x | State vector of length model_size. |
| time | Specifies time of the initial model state. |
type(ensemble_type), intent(in) :: state_handle integer, intent(in) :: index_in type(location_type), intent(out) :: location integer, optional, intent(out) :: var_type
Given a handle to a state structure and an integer index into the state vector, returns the associated location. A second intent(out) optional argument returns the generic quantity of this item, e.g. QTY_TEMPERATURE, QTY_DENSITY, QTY_SALINITY, QTY_U_WIND_COMPONENT. This interface is required to be functional for all applications.
| state_handle | The handle to the state structure containing the state vector about which information is requested. |
| index_in | Index of state vector element about which information is requested. |
| location | The location of state variable element. |
| var_type | The generic kind of the state variable element. |
type(ensemble_type), intent(in) :: state_handle real(r8), dimension(:), intent(in) :: x type(location_type), intent(in) :: location integer, intent(in) :: itype real(r8), intent(out) :: obs_val integer, intent(out) :: istatus
Given a handle containing information for a state vector, a state vector, a location, and a model state variable kind interpolates the state variable field to that location and returns the value in obs_val. The istatus variable should be returned as 0 unless there is some problem in computing the interpolation in which case a positive value should be returned. The itype variable is one of the KIND parameters defined in the obs_kind_mod.f90 file and defines which generic kind of item is being interpolated. In low-order models that have no notion of kinds of variables this argument may be ignored. For applications in which only perfect model experiments with identity observations (i.e. only the value of a particular state variable is observed), this can be a NULL INTERFACE. Otherwise it is required (which is the most common case).
| state_handle | The handle to the state structure containing information about the state vector about which information is requested. |
| x | A model state vector. |
| location | Location to which to interpolate. |
| itype | Quantity of state field to be interpolated. |
| obs_val | The interpolated value from the model. |
| istatus | Integer value returning 0 for success. Other values can be defined for various failures. |
type(time_type) :: get_model_time_step
Returns the time step (forecast length) of the model; the smallest increment in time that the model is capable of advancing the state in a given implementation. The actual value may be set by the model_mod namelist (depends on the model). This interface is required for all applications.
| var | Smallest time step of model. |
Called to do one time initialization of the model. As examples, might define information about the model size or model timestep. In models that require pre-computed static data, for instance spherical harmonic weights, these would also be computed here. Can be a NULL INTERFACE for the simplest models.
type(time_type), intent(out) :: time
Companion interface to init_conditions. Returns a time that is somehow appropriate for starting up a long integration of the model. At present, this is only used if the perfect_model_obs namelist parameter read_input_state_from_file = .false. If this option should not be used in perfect_model_obs, calling this routine should issue a fatal error.
| time | Initial model time. |
real(r8), dimension(:), intent(out) :: x
Returns a model state vector, x, that is some sort of appropriate initial condition for starting up a long integration of the model. At present, this is only used if the perfect_model_obs namelist parameter read_input_state_from_file = .false. If this option should not be used in perfect_model_obs, calling this routine should issue a fatal error.
| x | Initial conditions for state vector. |
integer, intent(in) :: ncFileID logical, intent(out) :: model_mod_writes_state_variables integer :: nc_write_model_atts
This routine writes the model-specific attributes to netCDF files
that DART creates. This includes coordinate variables and any
metadata, but NOT the actual model state vector.
models/template/model_mod.f90 contains code that
can be used for any model as-is.
The typical sequence for adding new dimensions, variables, attributes:
NF90_OPEN ! open existing netCDF dataset NF90_redef ! put into define mode NF90_def_dim ! define additional dimensions (if any) NF90_def_var ! define variables: from name, kind, and dims NF90_put_att ! assign attribute values NF90_ENDDEF ! end definitions: leave define mode NF90_put_var ! provide values for variable NF90_CLOSE ! close: save updated netCDF dataset
| ncFileID | Integer file descriptor to previously-opened netCDF file. |
| model_mod_writes_state_variables | logical descriptor to flag whether or not the model_mod will write the actual state variables or the DART-intrinsic routines will write them. |
| ierr | Returns a 0 for successful completion. |
integer :: nc_write_model_vars integer, intent(in) :: ncFileID real(r8), dimension(:), intent(in) :: statevec integer, intent(in) :: copyindex integer, intent(in) :: timeindex
This routine may be used to write the model-specific state vector (data) to a
netCDF file. Only used if
model_mod_writes_state_variables = .true.
Typical sequence for adding new dimensions,variables,attributes:
NF90_OPEN ! open existing netCDF dataset NF90_redef ! put into define mode NF90_def_dim ! define additional dimensions (if any) NF90_def_var ! define variables: from name, kind, and dims NF90_put_att ! assign attribute values NF90_ENDDEF ! end definitions: leave define mode NF90_put_var ! provide values for variable NF90_CLOSE ! close: save updated netCDF dataset
| ncFileID | file descriptor to previously-opened netCDF file. |
| statevec | A model state vector. |
| copyindex | Integer index of copy to be written. |
| timeindex | The timestep counter for the given state. |
| ierr | Returns 0 for normal completion. |
type(ensemble_type), intent(inout) :: state_ens_handle integer, intent(in) :: ens_size real(r8), intent(in) :: pert_amp logical, intent(out) :: interf_provided
Given an ensemble handle, the ensemble size, and a perturbation amplitude; perturb the ensemble. Used to generate initial conditions for spinning up ensembles. If the model_mod does not want to do this, instead allowing the default algorithms in filter to take effect, interf_provided =&nbps;.false. and the routine can be trivial. Otherwise, interf_provided must be returned as .true.
| state_ens_handle | handle containing and ensemble of state vectors to be perturbed. |
| ens_size | the number of ensemble members to perturb. |
| pert_amp | the amplitude of the perturbations. The interpretation is based on the model-specific implementation. |
| interf_provided | Returns false if model_mod cannot do this, else true. |
type(get_close_type), intent(inout) :: gc real(r8), intent(in) :: maxdist real(r8), optional, intent(in) :: maxdist_list(:)
In distance computations any two locations closer than the given maxdist will be considered close by the get_close_obs() routine. In general this is a PASS-THROUGH ROUTINE. It is listed on the use line for the locations_mod, and in the public list for this module, but has no subroutine declaration and no other code in this module:
use location_mod, only: get_close_maxdist_init public :: get_close_maxdist_init
The location module has code which stores maxdist in the gc derived type. However, if the model needs to alter the value or wants to supply an alternative implementation it can intercept the call like so:
use location_mod, only: & lm_get_close_maxdist_init => get_close_maxdist_init public :: get_close_maxdist_init
In this case a local get_close_maxdist_init() routine must be supplied. To call the original code in the location module use:
call lm_get_close_maxdist_init(gc, mymaxdist)
This subroutine will be called before get_close_obs_init and get_close_obs.
In most cases the PASS-THROUGH ROUTINE will be used.
| gc | The get_close_type which stores precomputed information about the locations to speed up searching |
| maxdist | Anything closer than this will be considered close. |
| maxdist_list(:) | An array of distances - one for each specific type. This allows different types to have different localization behavior. |
type(get_close_type), intent(inout) :: gc integer, intent(in) :: num type(location_type), intent(in) :: obs(num)
In general this is a PASS-THROUGH ROUTINE. The default routine in the location module precomputes information to accelerate the distance computations done by get_close_obs(). Like the other PASS-THROUGH ROUTINES it is listed on the use line for the locations_mod, and in the public list for this module, but has no subroutine declaration and no other code in this module:
use location_mod, only: get_close_obs_init public :: get_close_obs_init
The location module code bins the list of locations and precomputes maximum possible distances between bins. However, if the model needs to alter the values or wants to supply an alternative implementation it can intercept the call like so:
use location_mod, only: & lm_get_close_obs_init => get_close_obs_init public :: get_close_obs_init
In this case a local get_close_obs_init() routine must be supplied. To call the original code in the location module use:
call lm_get_close_obs_init(gc, num, obs)
This subroutine will be called after get_close_maxdist_init and before get_close_obs.
In most cases the PASS-THROUGH ROUTINE will be used.
| gc | The get_close_type which stores precomputed information about the locations to speed up searching |
| num | The number of items in the third argument |
| obs | A list of locations which will be part of the subsequent distance computations |
type(get_close_type), intent(in) :: gc type(location_type), intent(in) :: base_obs_loc integer, intent(in) :: base_obs_kind type(location_type), intent(in) :: obs_loc(:) integer, intent(in) :: obs_kind(:) integer, intent(out) :: num_close integer, intent(out) :: close_ind(:) real(r8), intent(out) :: dist(:) type(ensemble_type), intent(in) :: state_handle
Given a location and kind, compute the distances to all other locations
in the obs list. The return values are the number
of items which are within maxdist of the base, the index numbers in the
original obs list, and optionally the distances. The gc
contains precomputed information to speed the computations.
In general this is a PASS-THROUGH ROUTINE. It is listed on
the use line for the locations_mod, and in the public list
for this module, but has no subroutine declaration and
no other code in this module:
use location_mod, only: get_close_obs public :: get_close_obs
However, if the model needs to alter the values or wants to supply an alternative implementation it can intercept the call like so:
use location_mod, only: & lm_get_close_obs => get_close_obs public :: get_close_obs
In this case a local get_close_obs() routine must be supplied. To call the original code in the location module use:
call lm_get_close_obs(gc, base_obs_loc, ...)
This subroutine will be called after get_close_maxdist_init
and get_close_obs_init.
In most cases the PASS-THROUGH ROUTINE will be used, but some models need
to alter the actual distances depending on the observation or state vector kind,
or based on the observation or state vector location.
It is reasonable in this case to leave
get_close_maxdist_init()
and get_close_obs_init() as pass-through routines and
intercept only get_close_obs(). The local
get_close_obs() can first call the location mod routine
and let it return a list of values, and then inspect the list and alter
or remove any entries as needed. See the CAM and WRF model_mod files
for examples of this use.
| gc | The get_close_type which stores precomputed information about the locations to speed up searching |
| base_obs_loc | Reference location. The distances will be computed between this location and every other location in the obs list |
| base_obs_kind | The kind of base_obs_loc |
| obs_loc(:) | Compute the distance between the base_obs_loc and each of the locations in this list |
| obs_kind(:) | The corresponding kind of each item in the obs list |
| num_close | The number of items from the obs list which are within maxdist of the base location |
| close_ind(:) | The list of index numbers from the obs list which are within maxdist of the base location |
| dist(:) | If present, return the distance between each entry in the close_ind list and the base location. If not present, all items in the obs list which are closer than maxdist will be added to the list but the overhead of computing the exact distances will be skipped. |
| state_handle | The handle to the state structure containing information about the state vector about which information is requested. |
type(get_close_type), intent(inout) :: gc integer, intent(in) :: num type(location_type), intent(in) :: obs(num)
In general this is a PASS-THROUGH ROUTINE. The default routine in the location module precomputes information to accelerate the distance computations done by get_close_state(). Like the other PASS-THROUGH ROUTINES it is listed on the use line for the locations_mod, and in the public list for this module, but has no subroutine declaration and no other code in this module:
use location_mod, only: get_close_state_init public :: get_close_state_init
The location module code bins the list of locations and precomputes maximum possible distances between bins. However, if the model needs to alter the values or wants to supply an alternative implementation it can intercept the call like so:
use location_mod, only: & loc_get_close_state_init => get_close_state_init public :: get_close_state_init
In this case a local get_close_state_init() routine must be supplied. To call the original code in the location module use:
call loc_get_close_state_init(gc, num, obs)
This subroutine will be called after get_close_maxdist_init and before get_close_state.
In most cases the PASS-THROUGH ROUTINE will be used.
| gc | The get_close_type which stores precomputed information about the locations to speed up searching |
| num | The number of items in the third argument |
| obs | A list of locations which will be part of the subsequent distance computations |
type(get_close_type), intent(in) :: gc type(location_type), intent(in) :: base_obs_loc integer, intent(in) :: base_obs_kind type(location_type), intent(in) :: state_loc(:) integer, intent(in) :: state_kind(:) integer, intent(out) :: num_close integer, intent(out) :: close_ind(:) real(r8), intent(out) :: dist(:) type(ensemble_type), intent(in) :: state_handle
Given a location and kind, compute the distances to all other locations
in the state_loc list. The return values are the number
of items which are within maxdist of the base, the index numbers in the
original state_loc list, and optionally the distances. The gc
contains precomputed information to speed the computations.
In general this is a PASS-THROUGH ROUTINE. It is listed on
the use line for the locations_mod, and in the public list
for this module, but has no subroutine declaration and
no other code in this module:
use location_mod, only: get_close_state public :: get_close_state
However, if the model needs to alter the values or wants to supply an alternative implementation it can intercept the call like so:
use location_mod, only: & lm_get_close_state => get_close_state public :: get_close_state
In this case a local get_close_state() routine must be supplied. To call the original code in the location module use:
call loc_get_close_state(gc, base_obs_loc, ...)
This subroutine will be called after get_close_maxdist_init
and get_close_state_init.
In most cases the PASS-THROUGH ROUTINE will be used, but some models need
to alter the actual distances depending on the observation or state vector kind,
or based on the observation or state vector location.
It is reasonable in this case to leave
get_close_maxdist_init()
and get_close_state_init() as pass-through routines and
intercept only get_close_state(). The local
get_close_state() can first call the location mod routine
and let it return a list of values, and then inspect the list and alter
or remove any entries as needed. See the CAM and WRF model_mod files
for examples of this use.
| gc | The get_close_type which stores precomputed information about the locations to speed up searching |
| base_obs_loc | Reference location. The distances will be computed between this location and every other location in the obs list |
| base_obs_kind | The kind of base_obs_loc |
| state_loc(:) | Compute the distance between the base_obs_loc and each of the locations in this list |
| state_kind(:) | The corresponding kind of each item in the state_loc list |
| num_close | The number of items from the state_loc list which are within maxdist of the base location |
| close_ind(:) | The list of index numbers from the state_loc list which are within maxdist of the base location |
| dist(:) | If present, return the distance between each entry in the close_ind list and the base location. If not present, all items in the state_loc list which are closer than maxdist will be added to the list but the overhead of computing the exact distances will be skipped. |
| state_handle | The handle to the state structure containing information about the state vector about which information is requested. |
Returns the integer code for the vertical coordinate system used for localization.
| ivert | The integer code for the vertical coordinate system. |
type(ensemble_type), intent(in) :: state_handle type(location_type), intent(in) :: location integer, intent(in) :: obs_kind integer, intent(out) :: istatus
Converts the state to the desired vertical localization coordinate system. Some models (toy models with no 'real' observations) will not need this. Most (real) models have observations in one or more coordinate systems (pressure, height) and the model is generally represented in only one coordinate system. To be able to interpolate the model state to the observation location, or to compute the true distance between the state and the observation, it is necessary to convert everything to one coodinate system.
| state_handle | The handle to that state. |
| location | the desired location |
| obs_kind | the quantity defining the part of state to convert. |
| istatus | Specifies the success or failure of the vertical conversion. If istatus = 0, the conversion was a sucess. Any other value is a failure. |
character(len=*), intent(in) :: filename type(time_type) :: model_time
Reads the valid time of the model state in a netCDF file. There is a default routine in assimilation_code/modules/io/dart_time_io_mod.f90 that can be used as a pass-through. That routine will read the last timestep of a 'time' variable - which is the same strategy used for reading netCDF files that have multiple timesteps in them. If your model has some other representation of time (i.e. it does not use a netCDF variable named 'time') - you will have to write this routine.
| ncid | handle to an open netCDF file |
| dart_time | Specifies the (last) time of the model state. |
integer, intent(in) :: ncid type(time_type), intent(in) :: dart_time
Writes the assimilation time to a netCDF file. There is a default routine in assimilation_code/modules/io/dart_time_io_mod.f90 that can be used as a pass-through. If your model has some other representation of time (i.e. it does not use a netCDF variable named 'time') - you will have to write this routine.
| ncid | handle to an open netCDF file |
| dart_time | Specifies the time of the assimilation (the current time step). |
Does any shutdown and clean-up needed for model. Can be a NULL INTERFACE if the model has no need to clean up storage, etc.
| Files used or created by perfect_model_obs | |
| filename | purpose |
|---|---|
| input.nml | to read the namelist specifying the run-time control |
| perfect_input.nc | the initial model state (if not cold-start) |
| obs_seq.in | the metadata for the desired synthetic observations |
| perfect_output.nc | the time-history of the model state - the True State |
| obs_seq.out | the synthetic observations created from the True State |
| dart_log.[out,nml] | run-time output |
| Files used or created by filter | |
| filename | purpose |
| filter_input_list.txt | The file specifying the filename(s) of the initial ensemble. The default filename for the initial ensemble is filter_input.nc |
| obs_seq.out | the observations to be assimilated |
| preassim.nc | the ensemble information after prior inflation but before assimilation |
| postassim.nc | the ensemble information after assimilation but before posterior inflation |
| filter_output_list.txt | the file specifying the filename(s) of the time-evolution of the ensemble after all inflations and assimilation - the 'posterior'. The default filename for the output ensemble is filter_output.nc |
| obs_seq.final | the original observations and (optionally) the expected observations from the ensemble of model states. This may contain both the prior and posterior expected observation values. |
| dart_log.[out,nml] | run-time output |
none at this time
It is likely that a number of additional optional interfaces will be added to the model_mod structure. For instance, hints about how to divide the state vector into regions for parallel assimilation will need to be obtained from the model. It is planned that the interf_provided mechanism used in pert_model_copies will allow those who do not wish to support enhanced interfaces to add NULL interfaces by simply pasting in an interface block.
DART software - Copyright UCAR. This open source software is provided by UCAR, "as is", without charge, subject to all terms of use at http://www.image.ucar.edu/DAReS/DART/DART_download


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