Gecode::Int::GCC::OccurBndsView Class Reference
List of all members.
Detailed Description
Tuple conataining the lower and upper cardinality bounds.
Definition at line 42 of file occur.icc.
|
Public Member Functions |
| | OccurBndsView (void) |
| int | min (void) const |
| int | max (void) const |
| int | card (void) const |
| int | counter (void) const |
| void | min (int) |
| void | max (int) |
| void | card (int c) |
| void | counter (int c) |
| void | init (Space *home, int min, int max, int c) |
| ModEvent | lq (Space *home, int n) |
| ModEvent | gq (Space *home, int n) |
| ModEvent | eq (Space *home, int n) |
| bool | assigned (void) const |
| bool | range (void) const |
| ModEvent | inc (void) |
| void | cancel (Space *, Propagator *, PropCond) |
| void | subscribe (Space *, Propagator *, PropCond, bool=true) |
| void | cancel (Space *, Advisor *) |
| void | subscribe (Space *, Advisor *) |
| void | update (Space *, bool, OccurBndsView &) |
| Reflection::Arg * | spec (const Space *home, Reflection::VarMap &m) const |
| | OccurBndsView (Space *home, const Reflection::VarMap &m, Reflection::Arg *arg) |
Static Public Member Functions |
| static Support::Symbol | type (void) |
Constructor & Destructor Documentation
| Gecode::Int::GCC::OccurBndsView::OccurBndsView |
( |
void |
|
) |
[inline] |
Member Function Documentation
| int Gecode::Int::GCC::OccurBndsView::min |
( |
void |
|
) |
const [inline] |
| int Gecode::Int::GCC::OccurBndsView::max |
( |
void |
|
) |
const [inline] |
| int Gecode::Int::GCC::OccurBndsView::card |
( |
void |
|
) |
const [inline] |
| int Gecode::Int::GCC::OccurBndsView::counter |
( |
void |
|
) |
const [inline] |
| void Gecode::Int::GCC::OccurBndsView::min |
( |
int |
m |
) |
[inline] |
| void Gecode::Int::GCC::OccurBndsView::max |
( |
int |
m |
) |
[inline] |
| void Gecode::Int::GCC::OccurBndsView::card |
( |
int |
c |
) |
[inline] |
| void Gecode::Int::GCC::OccurBndsView::counter |
( |
int |
c |
) |
[inline] |
| void Gecode::Int::GCC::OccurBndsView::init |
( |
Space * |
home, |
|
|
int |
min, |
|
|
int |
max, |
|
|
int |
c | |
|
) |
| | [inline] |
| ModEvent Gecode::Int::GCC::OccurBndsView::lq |
( |
Space * |
home, |
|
|
int |
n | |
|
) |
| | [inline] |
| ModEvent Gecode::Int::GCC::OccurBndsView::gq |
( |
Space * |
home, |
|
|
int |
n | |
|
) |
| | [inline] |
| ModEvent Gecode::Int::GCC::OccurBndsView::eq |
( |
Space * |
home, |
|
|
int |
n | |
|
) |
| | [inline] |
| bool Gecode::Int::GCC::OccurBndsView::assigned |
( |
void |
|
) |
const [inline] |
| bool Gecode::Int::GCC::OccurBndsView::range |
( |
void |
|
) |
const [inline] |
| ModEvent Gecode::Int::GCC::OccurBndsView::inc |
( |
void |
|
) |
[inline] |
| void Gecode::Int::GCC::OccurBndsView::cancel |
( |
Space * |
, |
|
|
Advisor * |
| |
|
) |
| | [inline] |
| void Gecode::Int::GCC::OccurBndsView::subscribe |
( |
Space * |
, |
|
|
Advisor * |
| |
|
) |
| | [inline] |
| void Gecode::Int::GCC::OccurBndsView::update |
( |
Space * |
, |
|
|
bool |
, |
|
|
OccurBndsView & |
oc | |
|
) |
| | [inline] |
| Support::Symbol Gecode::Int::GCC::OccurBndsView::type |
( |
void |
|
) |
[inline, static] |
The documentation for this class was generated from the following file:


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Some offscreen content:
This message will only be visible to assistive technology, such as a screen reader.


File & Folder Structure
static/
├── less/
│ └── All LESS files
├── css/
│ └── All css files
├── fonts/
├── pages/
│ └── All the pages related scripts
├── img/
│ └── All images
├── plugins/
│ └── The plugins files
└── js/
└── All common Javascripts files
CSS & LESS
| File |
Description |
bootstrap.css |
The core bootstrap file is being used in all the pages. |
elements.less |
This file is containing some of the utility functions or mixins for less. This file
is from
Joel Sutherland.
|
core.less /core.css |
This file is containing all common styles for all the pages.
|
pages.less /pages.css |
Pages contains the styles for all supported third-party JS/CSS plugins. It has
overwritten
version of styles.
|
components.less /components.css |
This is the one of the core and important file. It contains the styles for all the
components, ui elements, and some other parts of the theme.
|
responsive.less /responsive.css |
This file is containing the styles related to responsiveness support.
|
icons.less /icons.css |
Combines various font icons. Currently we are using font awesome.
|
menu.less |
Menu |
Javascript
| File |
Description |
jquery.min.js /bootstrap.min.js |
These files are used at core of the theme. |
detect.js |
jQuery.browser.mobile will be true if the browser is a mobile device. |
fastclick.js |
Polyfill to remove click delays on browsers with touch UIs. |
bootstrap-growl.min.js |
Toast messages. |
jquery.app.js |
This is a main js file. It contains the custom JS code needed for features including
layout,
sidebar, etc.
|
pages/*.js |
These are the files containing pages specific code. |
plugins/**.js |
All supported and integrated third-party plugins are included in here. |
Colors


The usage of online repositories is in constant growth and it can become troublesome to manage all information inside of them. Regarding a clinical knowledge repository based on openEHR artefacts,
this content is based on archetypes and templates which internally have very well defined versioning parameters. Although these versioning parameters can be very useful to distinguish internal changes
and variants of artefacts, when a project is being created and the requirements for the clinical information model are defined, archetypes are simply downloaded from the openEHR CKM and saved in the local
repository of the on-going project. When new versions for the same archetypes are uploaded to the openEHR CKM, they are not updated usually on the local repository. Normally a local archetype will be updated
only when a bug, error or new requirement is found during the usage of the software that contains that archetype and a check for new version is made manually on the openEHR CKM.
Just simply login with your ADL Designer credentials, along with the repository id that you want to analyze (you can have an account with more than one repository inside). The page will load all the content and show the comparision between both repositories. In the comparision section, if there's an update from CKM, the URL where this archetype is available for download will show in the "URL OpenEHR CKM GitHub Mirror" column.
One of the biggest problems of manually checking versions on openEHR CKM is that it can be really time consuming and can take several hours to complete, depending on the number of archetypes hosted on a repository. Usually checking new versions of archetypes is avoided due to the time that it consumes to be finished. Herewith this script is expected to give a quick and reliable archetype verification between the local repositories and the openEHR CKM, in order to make it compliant and updated with the main source and facilitate the managing work of the local clinical knowledge repository owner.
Total archetypes: {{archetypeLists.length}}
Specialized archetypes: {{specializedCount}}
| # | Archetype Name | UID
Unique identifier for this archetype (machine readable)
|
Translations [ISO_639-1]Available language translations for this archetype
|
MD5 Hash
Unique hash calculated by the actual values inside of the archetype (machine readable)
|
Build_UID
Unique identifier for this archetype build (machine readable)
|
Revision |
|---|---|---|---|---|---|---|
| {{i+1}} | {{archetypes.archetypeId}} Specialized archetype from: {{archetypes.dependsOn.archetypes || 'Not specialized'}} |
{{archetypes.uid}} | {{archetypes.languages}} | {{archetypes.details["MD5-CAM-1.0.1"]}} | {{archetypes.details.build_uid || 'Not found, case of internal archetype or tagged with build_uuid parameter instead of build_uid'}} | {{archetypes?.details.revision || 'Not found' }} |
Total archetypes: {{archetypeLists.length}}
Compliant archetypes: {{archetypeLists.length - sumArchError}}
Outdated archetypes/Internal archetypes: {{sumArchError}}
Specialized archetypes: {{specializedCount}}
| # | Archetype Name | UID
Unique identifier for this archetype (machine readable)
|
Result | URL OpenEHR CKM GitHub Mirror |
|---|---|---|---|---|
| {{i+1}} | {{arc.archetypeId}} Specialized archetype from: {{arc.dependsOn.archetypes || 'Not specialized'}} |
{{arc.uid}} |
Total templates: {{templatesLists.length}}
| # | Template Name | UID
Unique identifier for this template (machine readable)
|
Translations [ISO_639-1]Available language translations for this template
|
Depends on archetypes:
A template is a set of archetypes.
|
|---|---|---|---|---|
| {{i+1}} | {{arc.templateId}} | {{arc.uid}} | {{arc.languages}} | {{arc.dependsOn?.archetypes}} |
Currently the comparision is made by "archetype_id" + "major version" and made from the local repository to the openEHR CKM github mirror. Although it is working fine, is not 100% realible due to having archetypes in openEHR CKM that can be located in diferent subdomains, projects and incubators. For now, this script is only getting information from the main repository (openEHR CKM) and not from the other cases. Some issues have been found during the development, such as:
Faculdade de Medicina da Universidade do Porto (Porto, Portugal)
Marand d.o.o. (Ljubljana, Slovenia)


Hi {{booking.guest_first_name}}
{{booking.guest_last_name}},
We’re
excited to welcome you to the
{{booking.bookable_location_t_short_description}} by Totalstay. While we
prepare for
your arrival please check out the following info below. If you need anything prior to
arriving
please call us on +27
(0) 21 XXX XXXX.


Employee ID: 2345 Email<EMAIL_ADDRESS>Office #: 123
Employee ID: 456 Email<EMAIL_ADDRESS>GitHub: brentocracy
Employee ID: 098 Email<EMAIL_ADDRESS>School: Yale
Employee ID: 2345 Email<EMAIL_ADDRESS>School: UConn


PLANET SICK-BOY: http://www.sick-boy.com
I love it when a film like Primary Colors (code name: The Big Lewinsky) opens amid waves of controversy because of its star or its content. Remember when Hugh Grant got busted with the hooker right before Nine Months came out? The unintentionally perfect timing of the release makes people scrutinize the story and, more specifically, the dialogue even more than they ordinarily would. I mean, there were a LOT of inadvertent blowjob references in Nine Months if you REALLY listened. Even the tag-line prophesizes the lead-in on the evening news ("What Went Down on the Way to the Top").
Colors starts right away with the unplanned comparisons to today's headlines as it shows a campaigning Jack Stanton (John Travolta) and his amazing handshaking technique. The right hand is just for shaking, while the left hand is used as a barometer to judge the recipients importance, based on how high it ends up on their arm. You can't help thinking about his right hand squeezing some bim's hooter while his left hand is gingerly pulling hers toward his crotch. Yikes!
The fine art of the handshake is being explained to Henry Burton (Richard Lester), the idealistic grandson of a great black civil rights leader. Henry is being wooed to join Stanton in his bid for the Democratic presidential nomination. He is skeptical at first, but quickly chooses the puffy white Stanton (the Governor of an ominously unnamed southern state) over his current mentor, a black Congressman who has left Henry quite disenchanted with politics in general.
Henry realizes that he has finally found the rare politician who actually cares about the people he represents. He weeps as he first sees Stanton in action at an adult literacy center in New York as his new boss tells a marvelous story about his war-hero uncle who couldn't get a job because he couldn't read. Henry stays on board despite finding out that Stanton not only made up the story, but also scheduled the appearance just to bed the teacher.
The bumbling teacher is just the tip of the adultery iceberg and not the only stumbling block en route to the oval office. There is the marijuana thing. There is the draft-dodging thing. There is the matter of having an arrest expunged from his permanent record. And, of course, there is the mass consumption of barbecue and donuts.
The film is held together by director Mike Nichols (The Birdcage) and scribe Elaine May (Ishtar), as well as lenser Michael Ballhaus (GoodFellas). They capture the conniving underbelly of modern politics with a keen eye and make us interested in a story that we have all heard again and again.
Travolta is amazingly Clintonesque as Stanton, a role that I never believed he could pull off. He has the raspy voice, the waddle and the look of genuine concern down cold. Thompson is not very Hillaryesque, but this would be the side of her that the public never sees. The juiciest roles are saved for Billy Bob and Kathy Bates, the former a pervert and the latter a lesbian. They play expert political strategists with a large dollop of unconditional lunacy, stealing every scene they're in. Newcomer Adrian Lester is quite capable as the green central character and exudes the innocent charm of a Joe Buck or even a Dirk Diggler. Larry Hagman has never been better as Stanton's rival, Freddy Picker. But I never watched Dallas, so take that statement with a grain of salt.
Colors has the same kind of fly-on-the-wall, behind-the-scenes feel of the last two Betty Thomas films, The Late Shift and Private Parts. It is powerfully entertaining and thought provoking for the first two hours, but the last 30 minutes become a bit heavy-handed with its tiresome ethical message of `doing the right thing'. The performances and gratuitous vomiting scene alone make it well worth the trip to your local cinema.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


| Some Basic Audio Features | Theodoros Giannakopoulos Department of Informatics and Telecommunications Univarsity of Athens, Greece website: www.di.uoa.gr/~tyiannak |
General
Feature extraction (as in most pattern recognition problems) is maybe the most important step in audio classification tasks. The provided Matlab code computes some of the basic audio features for groups of sounds stored in WAV files. Furthermore, a simple class separability measure, based on feature histograms is used for measuring the ability of each feature to be used for classifying the given classes. Therefore, you can use the provided m-files for computing the features of an audio classification problem (i.e. specific audio classes) and understanding "how good" those features are for the specific classification task.
Feature Calculation
The features are calculated in a two-step way:
| STEP 1 | The audio signal is broken into short-term non-overlapping windows (frames) of 50 mseconds. For each frame, 6 features are calculated: Energy Entropy, Energy, Zero Crossing Rate, Spectral Rolloff, Spectral Centroid and Spectral Flux. This step leads to 6 feaure sequences for the whole audio signal. |
| STEP 2 | In the sequel, for each of the 6 feature sequences, a simple statistic is calculated. For example, the standard deviation value of the Spectral Rolloff sequence. This step leads to 6 single statistic values (one for each feature sequence). Those 6 values are the final feature values that characterize the input audio signal. |
In particular, the following audio features and respective statistics are extracted for each audio segment:
| Features | Statistics |
| Energy Entropy | Standard Deviation (std) |
| Signal Energy | Std by Mean (average) Ratio |
| Zero Crossing Rate | Std |
| Spectral Rolloff | Std |
| Spectral Centroid | Std |
| Spectral Flux | Std by Mean Ratio |
In order to compute the 6 feature statistics for a specific .wav file, you can use the computeAllStatistics(fileName, win, step).
Audio Feature Separability
After the features are calculated,
a) the histograms of each feature for all classes are estimated
b) a simple algorithm is used for estimating the separability of the audio classes. In other words, a measure that describes how "easily" the features will be classified. In the case of a multi-class classification problem, the measure is calculated for EACH CLASS opposed to ALL OTHER CLASSES, i.e. a measure value FOR EACH CLASS is computed. The algorithm is described in detail in http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=18791&objectType=FILE#.
Execution Example
The main function of this demo is computeFeaturesDirectory(). The only recuired argument is a cell array with the names of the directories in which the .wav files of the respective classes are stored. For example, suppose you have three folders named MUSIC, SPEECH and NOISE, each one containing wav files with relevant audio content (i.e. wav files of segments containing music, speech and noise). In order to compute the audio features of those files simply write:
>> F = computeFeaturesDirectory({'music','speech','noise'});
The result may look like the following figure. There, you can see the 3 histograms (of the 3 classes: music, speech and noise) for 6 six features. Also, for each feature the best, worst and average value of the seperability measure for the specific classification problem is plotted.
For example, for the 1st feature, the best separability measure is 8.3% (speech), which means that the classification error, using the histogram methods, for the binary classification problem of SPEECH vs NON-SPEECH (music, noise) is 8.3% using this feature. Also, for the same feature the classification error for the problem of MUSIC vs NON-MUSIC is 23.6%.


Branding
First impressions count! Make sure your brand works for you. We offer digital marketing.
Our team of designers, developers and creatives are perfectionists who love what they do and love
We’re boldly individual, always original and refreshingly easy-going. Our vision, passion and ideas are matched with focus, expertise and flair.
About UsGet your company heading in the right direction with our digital marketing strategist
First impressions count! Make sure your brand works for you. We offer digital marketing.
First impressions count! Make sure your brand works for you. We offer digital marketing.
First impressions count! Make sure your brand works for you. We offer digital marketing.
Our team of designers, developers and creatives are perfectionists who love what they do and love
Our team of designers, developers and creatives are perfectionists who love what they do and love where they work


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 4
Fish pie is easily a family favourite. This recipe has bags of flavour from the smoked haddock, prawns and cod.
Preheat the oven to 190C/375F/Gas 5.
Cut the potatoes into 5cm/2in chunks and boil until soft. Drain and mash with the butter, crème fraîche and warm milk. Season with salt and white pepper. Set aside and keep warm.
Heat the milk in a large pan, add the smoked haddock and cod. Cut the onion in half, make an incision in one of the halves and insert the bay leaf. Push the cloves into the same onion half and place this into the pan with the milk and fish. Bring the milk up to the boil. Reduce the heat and simmer gently for 6-7 minutes.
Meanwhile, finely chop the remaining half onion and the leeks. Heat the butter with the olive oil in a small frying pan and gently fry the onion and the leeks for 4-5 minutes to soften, but not brown.
Remove the fish from the pan, and set aside to cool slightly. Keep the milk in the pan.
Add the flour to the leeks and stir well to combine. Fry for one minute, stirring frequently. Gradually spoon in the milk from poaching the fish, and stir it in well each time. Add all the milk in this way, and heat gently until the sauce has thickened.
Taste the sauce for seasoning, and add more salt or pepper if necessary.
Break the fish into chunks, being careful to feel for any bones and remove any skin, then fold the fish pieces into the sauce.
Add the raw prawns and frozen peas to the mixture.
Place an ovenproof pie dish onto a baking tray (this will catch any of the mix that bubbles over when cooking).
Spoon the fish mixture into the bottom of the ovenproof dish. Sprinkle fresh chopped parsley and grated lemon zest over the top.
Carefully top with the cooled mashed potato. Use a fork to spread the mash over the pie and create a rough texture on top. Dot the pie with the remaining half of the butter and place in the oven for 25-30 minutes, or until golden-brown and bubbling.


"Nico and Dani (Krampack)"
Dani (Fernando Ramallo) invites his best friend, Nico (Jordi Vilches), to spend the summer holiday at the family beach house in southern Spain. The cool thing is that Dani's parents are off on a trip of their own to Egypt. Late night dates and house parties are the order of the day as the two boys enter the next stage of their sexual awakening, but each takes a very different path in "Nico and Dani."
This little coming-of-age flick is one of the most honestly rendered tales about growing up that I have seen in a long time. Sophomore Spanish helmer Cesc Gay (who cowrote the screenplay with Tomas Aragay) takes a very conventional tale about two friends on the verge of adulthood and infuses it with a refreshing approach of no excuses, no explanations for growing up.
The two boys playing the title characters are naturals.  Nico, on the other hand, had no problems with his same sex adolescent explorations with Dani, but now is very much into girls. When Dani's friend Elena (Marieta Orozco) and her friend Berta (Esther Nubiola) arrive on the scene, Nico is thrilled with the chance to be with a woman. Dani is not so inclined and wants his boyhood closeness to Nico to continue unabated.
Director Cesc Gay, with his talented young actors, takes this simply story of growing up and gives it a fresh direction that we don't usually see in the American equivalent. Here, in "Nico and Dani," there is no judgement made over the boys' choices in life - Dani decides on a gay lifestyle, while Nico shrugs off his friend's decisions and makes his own hetero choice. The film leads the boys to the crossroads of life and they must each choose their own path to follow.
"Nico and Dani" is a world class teen film that has meaning in many different cultures and countries, not just Spain. This is the kind of little, independent film that has so much to tell its teen target audience that I hope it can succeed internationally. I wish there were more such honestly rendered and thoughtfully told coming-of-age films. I give it a B+.
For more Reeling reviews visit www.reelingreviews.com
<EMAIL_ADDRESS><EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


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|
|
String | DLibraryName |
| | Filename of the library to use.
|
| |
|
int[] | DSoundClipIndices = new int[ESoundClipType.sctMax.getValue()] |
| | Sound clip indexes used by DSoundMixer to play clips.
|
| |
|
int[] | DSongIndices = new int[ESongType.stMax.getValue()] |
| | Song indexes used by DSoundMixer to play clips.
|
| |
| float | DMusicVolume |
| | Pointer to music volume setting. More...
|
| |
| float | DEffectsVolume |
| | Pointer to sound effects volume setting. More...
|
| |
| final void game.sounds.CSounds.Load |
( |
CGame |
game, |
|
|
float |
musicVolume, |
|
|
float |
sfxVolume |
|
) |
| |
Loads sound resources.
- Parameters
-
| final void game.sounds.CSounds.LoadSongIndices |
( |
| ) |
|
|
protected |
The following initializes the song indices.
This allows GTK to find the right sound to play.
| final void game.sounds.CSounds.LoadSoundClipIndices |
( |
| ) |
|
|
protected |
The following initializes the sound indices.
This allows GTK to find the right sound to play.
| final void game.sounds.CSounds.PlaySong |
( |
ESongType |
song, |
|
|
float |
volume |
|
) |
| |
Plays a song.
- Parameters
-
| song | The song to play |
| volume | The volume to play the song at |
signifies that should stop playing current song
| final void game.sounds.CSounds.PlaySoundClip |
( |
ESoundClipType |
sound_clip, |
|
|
float |
volume, |
|
|
float |
right_bias |
|
) |
| |
Plays a sound clip.
- Parameters
-
| sound_clip | The clip to play |
| volume | The volume to play at |
| right_bias | The stereo effect to use |
| final void game.sounds.CSounds.StopSong |
( |
| ) |
|
| final void game.sounds.CSounds.SwitchSong |
( |
ESongType |
song | ) |
|
Plays song if is different than the one already playing.
- Parameters
-
| song | The song to play |
| volume | The volume to play the song at |
| float game.sounds.CSounds.DEffectsVolume |
|
protected |
Pointer to sound effects volume setting.
| float game.sounds.CSounds.DMusicVolume |
|
protected |
Pointer to music volume setting.
The documentation for this class was generated from the following file:
- android/src/game/sounds/CSounds.java


--- layout: page title: About header-img: "img/about-bg.png" ---
With more than 15 years of experience in healthcare science, the author is applying their knowledge, skills and experience to being a data scientist. The broad application of data science could be used in healthcare, but could also take the author in any direction.


Group
. It extends JavaScript's native Map
class, so it has all the features of Map
and more! If you're not familiar withIn essence,Map
, read MDN's page on it before continuing. You should be familiar withArray
methods as well. We will also be using some ES6 features, so read up on it if you do not know what they are.
Map
allow for an association between unique keys and their values, but lack an iterative interface. For example, how can you transform every value or filter the entries in a Map
easily? This is the point of the Group
class! Many of the methods on Group
are based on their namesake in Array
. One of them is find
:
array.find(user => user.foo === 'bar');
group.find(user => user.foo === 'bar');
(value, index, array)
, where value
is the value it iterated to, index
is the current index, and array
is the array itself. For groups, you would have (value, key, group)
. Here, value
is the same, but key
is the key of the value, and group
is the group itself instead.
Array
interface are as follows:
find
filter
- Note that this returns a Group
rather than an Array
.map
- Yet this returns an Array
of values instead of a Group
!every
some
reduce
concat
sort
There are two ways you might want to convert a Group
into an Array
. The first way is the array
or keyArray
methods. They simply create an array from the items in the group, but also caches it too:
group.array();
group.array(); // Not computed again the second time, it is cached!
group.keyArray();
group.keyArray(); // Not computed again the second time, it is cached!
Many people usearray
way too much! This leads to unneeded caching of data and confusing code. Before you usearray
or similar, ask yourself if whatever you are trying to do can't be done with the givenMap
orGroup
methods or with a for-of loop.
Some methods are not from Array
and are instead completely new to standard JavaScript.
group.random(); // A random value. Be careful, this uses `array` so caching is done.
group.first(); // The first value.
group.first(5); // The first 5 values.
group.last(); // Similar to `first`, but from the end. This uses `array`.
group.last(2);
group.sift(user => user.foo === 'bar'); // Removes from the group anything that meets a criteria.
A more complicated method is cut
, which splits a group into two, based on a certain criteria. You can think of it as two filter
s, but done at the same time:
const [foo, bar] = group.cut(user => user.baz);
foo.every(user => user.baz); // Both return true.
bar.every(user => !user.baz);


The Whole Nine Yards (2000)
Cast: Bruce Willis, Matthew Perry, Rosanna Arquette, Michael Clarke Duncan, Natasha Henstridge, Amanda Peet, Kevin Pollak. Writer: Mitchell Kapner. Director: Jonathan Lynn.
Review by Scott Hunt Movie Hunt: http://netdirect.net/~hunt/index.html
Rating: Near Miss (2 out of 4 stars)
Rhythm. I kept thinking about that word as I left the theater. At it's best moments, the Whole Nine Yards has a certain rhythm. It comes from some of the one on one conversations between characters. There is a certain comic timing that reminded me of 1940's screwball comedies, like a good Tracey/Hepburn film. Those moments weren't plentiful, but they were joyful to watch.
The Whole Nine Yards centers on dentist Nicholas "Oz" Oseransky (Perry), who is sleepwalking through life married to a shrewish wife (Arquette), living a bland existance in Montreal. That all changes when Oz meets his next door neighbor, Jimmy "The Tulip" Tudeski (Willis), a former Chicago mob hitman recently released from prison for ratting out his former mob associates. Because of Tulip's kiss and tell, a mob boss, played by Pollock, wants him dead. The story careens along at a brisk clip as there are double , then triple crosses and at certain points, you don't know who is going to kill whom. Perry and Willis both play characters we've seen before, but they imbue them with so much of their persona that they gain an edge to them.
Perry is the same character he's played on TV and in previous movies: a sweet, somewhat clever guy whose unsure of what he wants in life. Willis is the same pucker-mouthed, wisecracking, king of cool that we've been seeing since his Moonlighting days. The difference this time is that Lynn has gotten the pair down to a distillation of themselves. The acting may not be a stretch for either actor, but there is a leaness to their performances that works in their favor. Perry runs the gamut of slapstick physical comedy to repeated double takes to a modest spit take, a comedic classic. He bounces through the film with whiffle ball lightness, while showing a certain restraint. He is amusing to behold.
Willis manages to turn his trademark smirk into a mysterious Mona Lisa smile, and that's the key to his performance. You think you know what Tulip is thinking, but that smirk lingers a bit long as his eyes lock uncomfortably onto another character and you sense the menace floating behind that smile.
There are other nice acting turns. Amanda Peet, as Jill, Oz's dental assistant, projects a sexy goofiness that is truly engaging. Natasha Henstridge as Tulip's wife, holds the screen with subtle emotional depth, that belies the swirl of zaniness surrounding her. Duncan, as another hitman, lights the screen up with his self satisfied smile and hulking presence. That isn't to say that everyone comes across so effectively.
It's obvious that Pollock and Arquette, as Oz's wife, were told to play their parts over the top. The problem is that they go so far over the top that they fall off the other side. Arquette adopts what is suppossed to be a french accent, but it sounded more like a blend of French, Chinese and an other-wordly language. Pollock garbles his way through an unfunny hungarian speech affectation that had me yearning for earplugs.
The Whole Nine Yards has it's moments, but it never climbs to the level of belly laughs. I found myself chuckling at certain parts and smiling in bemusement at others and there isn't a thing wrong with that. Just because it falls short of going the full 10 yards, doesn't mean it's not pleasant, very amusing film fare.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


{% extends 'base.html' %} {% load bootstrap3 %} {% block content %}
Deleting a Speaker object will remove the person from all Events, scheduled or not. The change will immediately take effect on the live site. The speaker can later be recreated by re-approving the SpeakerProposal if needed.


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| Classes in org.apache.pig used by org.apache.hadoop.zebra.pig | |
|---|---|
| CollectableLoadFunc
This interface implemented by a LoadFunc implementations indicates to
Pig that it has the capability to load data such that all instances of a key
will occur in same split. |
|
| Expression
A class to communicate Filter expressions to LoadFuncs. |
|
| IndexableLoadFunc
This class is intended for use by LoadFunc implementations which have an internal index for sorted data and can use the index to support merge join in Pig. |
|
| LoadFunc
A LoadFunc loads data into Pig. |
|
| LoadMetadata
This interface defines how to retrieve metadata related to data to be loaded. |
|
| LoadPushDown
This interface defines how to communicate to Pig what functionality can be pushed into the loader. |
|
| LoadPushDown.OperatorSet
Set of possible operations that Pig can push down to a loader. |
|
| LoadPushDown.RequiredFieldList
List of fields that Pig knows to be required to executed a script. |
|
| LoadPushDown.RequiredFieldResponse
Indicates whether the loader will return the requested fields or all fields. |
|
| OrderedLoadFunc
Implementing this interface indicates to Pig that a given loader can be used for MergeJoin. |
|
| ResourceSchema
A represenation of a schema used to communicate with load and store functions. |
|
| ResourceStatistics
An class that represents statistics about data to be loaded or stored. |
|
| StoreFunc
StoreFuncs take records from Pig's processing and store them into a data store. |
|
| StoreFuncInterface
StoreFuncs take records from Pig's processing and store them into a data store. |
|
| StoreMetadata
This interface defines how to write metadata related to data to be stored. |
| Classes in org.apache.pig used by org.apache.pig | |
|---|---|
| EvalFunc
The class is used to implement functions to be applied to fields in a dataset. |
|
| ExecType
The type of query execution |
|
| Expression
A class to communicate Filter expressions to LoadFuncs. |
|
| Expression.OpType
|
|
| FileSplitComparable
This class represents a relative position in a file. |
|
| FuncSpec
Class to represent a UDF specification. |
|
| LoadCaster
An interface that provides cast implementations for load functions. |
|
| LoadFunc
A LoadFunc loads data into Pig. |
|
| LoadPushDown.OperatorSet
Set of possible operations that Pig can push down to a loader. |
|
| LoadPushDown.RequiredField
Describes a field that is required to execute a scripts. |
|
| LoadPushDown.RequiredFieldList
List of fields that Pig knows to be required to executed a script. |
|
| LoadPushDown.RequiredFieldResponse
Indicates whether the loader will return the requested fields or all fields. |
|
| OrderedLoadFunc
Implementing this interface indicates to Pig that a given loader can be used for MergeJoin. |
|
| PigCounters
The following enum will contain the general counters that pig uses. |
|
| PigWarning
An enum to enumerate the warning types in Pig |
|
| ResourceSchema
A represenation of a schema used to communicate with load and store functions. |
|
| ResourceSchema.Order
|
|
| ResourceSchema.ResourceFieldSchema
|
|
| ResourceStatistics
An class that represents statistics about data to be loaded or stored. |
|
| ResourceStatistics.ResourceFieldStatistics
Statistics for a given field in the data. |
|
| SortColInfo
A class representing information about a sort column in SortInfo |
|
| SortColInfo.Order
|
|
| SortInfo
Class to communicate sort column information based on order by statment's sort columns and schema |
|
| StoreCaster
An interface that provides methods for converting Pig internal types to byte[]. |
|
| StoreFuncInterface
StoreFuncs take records from Pig's processing and store them into a data store. |
| Classes in org.apache.pig used by org.apache.pig.backend | |
|---|---|
| PigException
All exceptions in Pig are encapsulated in the PigException
class. |
| Classes in org.apache.pig used by org.apache.pig.backend.datastorage | |
|---|---|
| PigException
All exceptions in Pig are encapsulated in the PigException
class. |
| Classes in org.apache.pig used by org.apache.pig.backend.executionengine | |
|---|---|
| PigException
All exceptions in Pig are encapsulated in the PigException
class. |
| Classes in org.apache.pig used by org.apache.pig.backend.hadoop.executionengine.mapReduceLayer | |
|---|---|
| LoadCaster
An interface that provides cast implementations for load functions. |
|
| LoadFunc
A LoadFunc loads data into Pig. |
|
| PigException
All exceptions in Pig are encapsulated in the PigException
class. |
|
| StoreFuncInterface
StoreFuncs take records from Pig's processing and store them into a data store. |
| Classes in org.apache.pig used by org.apache.pig.backend.hadoop.executionengine.physicalLayer | |
|---|---|
| PigException
All exceptions in Pig are encapsulated in the PigException
class. |
| Classes in org.apache.pig used by org.apache.pig.backend.hadoop.executionengine.physicalLayer.expressionOperators | |
|---|---|
| ComparisonFunc
Deprecated. |
|
| EvalFunc
The class is used to implement functions to be applied to fields in a dataset. |
|
| FuncSpec
Class to represent a UDF specification. |
|
| ResourceSchema.ResourceFieldSchema
|
| Classes in org.apache.pig used by org.apache.pig.backend.hadoop.executionengine.physicalLayer.relationalOperators | |
|---|---|
| FuncSpec
Class to represent a UDF specification. |
|
| LoadFunc
A LoadFunc loads data into Pig. |
|
| SortInfo
Class to communicate sort column information based on order by statment's sort columns and schema |
|
| StoreFuncInterface
StoreFuncs take records from Pig's processing and store them into a data store. |
| Classes in org.apache.pig used by org.apache.pig.backend.hadoop.executionengine.physicalLayer.util | |
|---|---|
| EvalFunc
The class is used to implement functions to be applied to fields in a dataset. |
| Classes in org.apache.pig used by org.apache.pig.backend.hadoop.hbase | |
|---|---|
| LoadCaster
An interface that provides cast implementations for load functions. |
|
| LoadFunc
A LoadFunc loads data into Pig. |
|
| LoadPushDown
This interface defines how to communicate to Pig what functionality can be pushed into the loader. |
|
| LoadPushDown.OperatorSet
Set of possible operations that Pig can push down to a loader. |
|
| LoadPushDown.RequiredFieldList
List of fields that Pig knows to be required to executed a script. |
|
| LoadPushDown.RequiredFieldResponse
Indicates whether the loader will return the requested fields or all fields. |
|
| LoadStoreCaster
This is just a union interface of LoadCaster and StoreCaster, made available for simplicity. |
|
| OrderedLoadFunc
Implementing this interface indicates to Pig that a given loader can be used for MergeJoin. |
|
| ResourceSchema
A represenation of a schema used to communicate with load and store functions. |
|
| ResourceSchema.ResourceFieldSchema
|
|
| StoreCaster
An interface that provides methods for converting Pig internal types to byte[]. |
|
| StoreFuncInterface
StoreFuncs take records from Pig's processing and store them into a data store. |
| Classes in org.apache.pig used by org.apache.pig.builtin | |
|---|---|
| Accumulator
An interface that allows UDFs that take a bag to accumulate tuples in chunks rather than take the whole set at once. |
|
| Algebraic
An interface to declare that an EvalFunc's calculation can be decomposed into intitial, intermediate, and final steps. |
|
| EvalFunc
The class is used to implement functions to be applied to fields in a dataset. |
|
| Expression
A class to communicate Filter expressions to LoadFuncs. |
|
| FileInputLoadFunc
This class provides an implementation of OrderedLoadFunc interface which can be optionally re-used by LoadFuncs that use FileInputFormat, by having this as a super class |
|
| FilterFunc
|
|
| FuncSpec
Class to represent a UDF specification. |
|
| LoadCaster
An interface that provides cast implementations for load functions. |
|
| LoadFunc
A LoadFunc loads data into Pig. |
|
| LoadMetadata
This interface defines how to retrieve metadata related to data to be loaded. |
|
| LoadPushDown
This interface defines how to communicate to Pig what functionality can be pushed into the loader. |
|
| LoadPushDown.OperatorSet
Set of possible operations that Pig can push down to a loader. |
|
| LoadPushDown.RequiredFieldList
List of fields that Pig knows to be required to executed a script. |
|
| LoadPushDown.RequiredFieldResponse
Indicates whether the loader will return the requested fields or all fields. |
|
| LoadStoreCaster
This is just a union interface of LoadCaster and StoreCaster, made available for simplicity. |
|
| OrderedLoadFunc
Implementing this interface indicates to Pig that a given loader can be used for MergeJoin. |
|
| PigToStream
The interface used for the custom mapping of a Tuple to a byte
array. |
|
| ResourceSchema
A represenation of a schema used to communicate with load and store functions. |
|
| ResourceSchema.ResourceFieldSchema
|
|
| ResourceStatistics
An class that represents statistics about data to be loaded or stored. |
|
| StoreCaster
An interface that provides methods for converting Pig internal types to byte[]. |
|
| StoreFuncInterface
StoreFuncs take records from Pig's processing and store them into a data store. |
|
| StreamToPig
The interface is used for the custom mapping of a byte array, received from the stdout of the streaming process, to a Tuple . |
| Classes in org.apache.pig used by org.apache.pig.data | |
|---|---|
| ResourceSchema.ResourceFieldSchema
|
| Classes in org.apache.pig used by org.apache.pig.impl | |
|---|---|
| ExecType
The type of query execution |
|
| FuncSpec
Class to represent a UDF specification. |
| Classes in org.apache.pig used by org.apache.pig.impl.builtin | |
|---|---|
| EvalFunc
The class is used to implement functions to be applied to fields in a dataset. |
|
| IndexableLoadFunc
This class is intended for use by LoadFunc implementations which have an internal index for sorted data and can use the index to support merge join in Pig. |
|
| LoadCaster
An interface that provides cast implementations for load functions. |
|
| LoadFunc
A LoadFunc loads data into Pig. |
| Classes in org.apache.pig used by org.apache.pig.impl.io | |
|---|---|
| ExecType
The type of query execution |
|
| Expression
A class to communicate Filter expressions to LoadFuncs. |
|
| FileInputLoadFunc
This class provides an implementation of OrderedLoadFunc interface which can be optionally re-used by LoadFuncs that use FileInputFormat, by having this as a super class |
|
| FuncSpec
Class to represent a UDF specification. |
|
| LoadCaster
An interface that provides cast implementations for load functions. |
|
| LoadFunc
A LoadFunc loads data into Pig. |
|
| LoadMetadata
This interface defines how to retrieve metadata related to data to be loaded. |
|
| OrderedLoadFunc
Implementing this interface indicates to Pig that a given loader can be used for MergeJoin. |
|
| ResourceSchema
A represenation of a schema used to communicate with load and store functions. |
|
| ResourceStatistics
An class that represents statistics about data to be loaded or stored. |
|
| StoreFuncInterface
StoreFuncs take records from Pig's processing and store them into a data store. |
| Classes in org.apache.pig used by org.apache.pig.impl.logicalLayer | |
|---|---|
| Expression
A class to communicate Filter expressions to LoadFuncs. |
|
| FuncSpec
Class to represent a UDF specification. |
|
| LoadFunc
A LoadFunc loads data into Pig. |
|
| LoadPushDown.RequiredFieldList
List of fields that Pig knows to be required to executed a script. |
|
| LoadPushDown.RequiredFieldResponse
Indicates whether the loader will return the requested fields or all fields. |
|
| PigException
All exceptions in Pig are encapsulated in the PigException
class. |
|
| SortInfo
Class to communicate sort column information based on order by statment's sort columns and schema |
|
| StoreFuncInterface
StoreFuncs take records from Pig's processing and store them into a data store. |
| Classes in org.apache.pig used by org.apache.pig.impl.logicalLayer.optimizer | |
|---|---|
| ExecType
The type of query execution |
| Classes in org.apache.pig used by org.apache.pig.impl.logicalLayer.schema | |
|---|---|
| PigException
All exceptions in Pig are encapsulated in the PigException
class. |
|
| ResourceSchema
A represenation of a schema used to communicate with load and store functions. |
| Classes in org.apache.pig used by org.apache.pig.impl.logicalLayer.validators | |
|---|---|
| PigException
All exceptions in Pig are encapsulated in the PigException
class. |
| Classes in org.apache.pig used by org.apache.pig.impl.plan | |
|---|---|
| PigException
All exceptions in Pig are encapsulated in the PigException
class. |
| Classes in org.apache.pig used by org.apache.pig.impl.plan.optimizer | |
|---|---|
| PigException
All exceptions in Pig are encapsulated in the PigException
class. |
| Classes in org.apache.pig used by org.apache.pig.impl.streaming | |
|---|---|
| PigToStream
The interface used for the custom mapping of a Tuple to a byte
array. |
|
| StreamToPig
The interface is used for the custom mapping of a byte array, received from the stdout of the streaming process, to a Tuple . |
| Classes in org.apache.pig used by org.apache.pig.impl.util | |
|---|---|
| FileInputLoadFunc
This class provides an implementation of OrderedLoadFunc interface which can be optionally re-used by LoadFuncs that use FileInputFormat, by having this as a super class |
|
| FuncSpec
Class to represent a UDF specification. |
|
| LoadCaster
An interface that provides cast implementations for load functions. |
|
| LoadFunc
A LoadFunc loads data into Pig. |
|
| PigException
All exceptions in Pig are encapsulated in the PigException
class. |
|
| PigWarning
An enum to enumerate the warning types in Pig |
|
| ResourceSchema
A represenation of a schema used to communicate with load and store functions. |
|
| ResourceSchema.ResourceFieldSchema
|
| Classes in org.apache.pig used by org.apache.pig.newplan.logical.expression | |
|---|---|
| FuncSpec
Class to represent a UDF specification. |
| Classes in org.apache.pig used by org.apache.pig.piggybank.evaluation | |
|---|---|
| Accumulator
An interface that allows UDFs that take a bag to accumulate tuples in chunks rather than take the whole set at once. |
|
| Algebraic
An interface to declare that an EvalFunc's calculation can be decomposed into intitial, intermediate, and final steps. |
|
| EvalFunc
The class is used to implement functions to be applied to fields in a dataset. |
| Classes in org.apache.pig used by org.apache.pig.piggybank.evaluation.datetime | |
|---|---|
| EvalFunc
The class is used to implement functions to be applied to fields in a dataset. |
|
| FuncSpec
Class to represent a UDF specification. |
| Classes in org.apache.pig used by org.apache.pig.piggybank.evaluation.datetime.convert | |
|---|---|
| EvalFunc
The class is used to implement functions to be applied to fields in a dataset. |
|
| FuncSpec
Class to represent a UDF specification. |
| Classes in org.apache.pig used by org.apache.pig.piggybank.evaluation.datetime.diff | |
|---|---|
| EvalFunc
The class is used to implement functions to be applied to fields in a dataset. |
|
| FuncSpec
Class to represent a UDF specification. |
| Classes in org.apache.pig used by org.apache.pig.piggybank.evaluation.datetime.truncate | |
|---|---|
| EvalFunc
The class is used to implement functions to be applied to fields in a dataset. |
|
| FuncSpec
Class to represent a UDF specification. |
| Classes in org.apache.pig used by org.apache.pig.piggybank.evaluation.decode | |
|---|---|
| EvalFunc
The class is used to implement functions to be applied to fields in a dataset. |
| Classes in org.apache.pig used by org.apache.pig.piggybank.evaluation.math | |
|---|---|
| EvalFunc
The class is used to implement functions to be applied to fields in a dataset. |
|
| FuncSpec
Class to represent a UDF specification. |
| Classes in org.apache.pig used by org.apache.pig.piggybank.evaluation.string | |
|---|---|
| EvalFunc
The class is used to implement functions to be applied to fields in a dataset. |
|
| FuncSpec
Class to represent a UDF specification. |
| Classes in org.apache.pig used by org.apache.pig.piggybank.evaluation.util | |
|---|---|
| Algebraic
An interface to declare that an EvalFunc's calculation can be decomposed into intitial, intermediate, and final steps. |
|
| EvalFunc
The class is used to implement functions to be applied to fields in a dataset. |
|
| FuncSpec
Class to represent a UDF specification. |
| Classes in org.apache.pig used by org.apache.pig.piggybank.evaluation.util.apachelogparser | |
|---|---|
| EvalFunc
The class is used to implement functions to be applied to fields in a dataset. |
|
| FuncSpec
Class to represent a UDF specification. |
| Classes in org.apache.pig used by org.apache.pig.piggybank.storage | |
|---|---|
| Expression
A class to communicate Filter expressions to LoadFuncs. |
|
| FileInputLoadFunc
This class provides an implementation of OrderedLoadFunc interface which can be optionally re-used by LoadFuncs that use FileInputFormat, by having this as a super class |
|
| LoadFunc
A LoadFunc loads data into Pig. |
|
| LoadMetadata
This interface defines how to retrieve metadata related to data to be loaded. |
|
| LoadPushDown
This interface defines how to communicate to Pig what functionality can be pushed into the loader. |
|
| LoadPushDown.OperatorSet
Set of possible operations that Pig can push down to a loader. |
|
| LoadPushDown.RequiredFieldList
List of fields that Pig knows to be required to executed a script. |
|
| LoadPushDown.RequiredFieldResponse
Indicates whether the loader will return the requested fields or all fields. |
|
| OrderedLoadFunc
Implementing this interface indicates to Pig that a given loader can be used for MergeJoin. |
|
| ResourceSchema
A represenation of a schema used to communicate with load and store functions. |
|
| ResourceStatistics
An class that represents statistics about data to be loaded or stored. |
|
| StoreFunc
StoreFuncs take records from Pig's processing and store them into a data store. |
|
| StoreFuncInterface
StoreFuncs take records from Pig's processing and store them into a data store. |
|
| StoreMetadata
This interface defines how to write metadata related to data to be stored. |
| Classes in org.apache.pig used by org.apache.pig.piggybank.storage.apachelog | |
|---|---|
| LoadFunc
A LoadFunc loads data into Pig. |
| Classes in org.apache.pig used by org.apache.pig.piggybank.storage.partition | |
|---|---|
| LoadFunc
A LoadFunc loads data into Pig. |
| Classes in org.apache.pig used by org.apache.pig.scripting.jython | |
|---|---|
| EvalFunc
The class is used to implement functions to be applied to fields in a dataset. |
| Classes in org.apache.pig used by org.apache.pig.tools.grunt | |
|---|---|
| PigServer
A class for Java programs to connect to Pig. |
|
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| PREV NEXT | FRAMES NO FRAMES |


Donald Trump
Résumé
— I'm the most successful person ever to run for the presidency, by far. Nobody's ever been more successful than me. Sorry losers and haters, but my IQ is one of the highest ― and you all know it!
Experience
Recent
-
2017
Became 45th president of the United States 😎
-
2016
Won election race with 77 votes more than Clinton, yippe-kee-yay!
-
2015
Became the most important Republican nominating for presidential election run
Back then
-
2009
Changed my mind and became Republican again
-
2005
Started Trump University with Michael Sexton and Jonathan Spitalny: no grades, certificates and other bureaucracy, but program offered courses in real estate, asset management entrepreneurship, and wealth creation. 98% students gave positive reviews while studying, however some of these ungrateful gringos filed lawsuits against Trump University after the course. I had to pay $25 million to settle that...
-
2002
Acquired the former Hotel Delmonico, which was renovated and reopened in 2004 as the Trump Park Avenue. I sure do like my surname!
-
2001
Completed Trump World Tower and joined the Democratic Party
-
1999
Started buying golf courses. They are very cheap, I have 18 of them now in USA and abroad! Also switched to the Reform Party that year
-
1997
Began a multi-building development along the Hudson River, which was named Trump Place. Me and the other investors sold our shares for $1.8 billion and that was then the biggest residential sale in the history of New York City
-
1996
Acquired the Bank of Manhattan Trust Building, which was a vacant seventy-one story skyscraper on Wall Street. After an extensive renovation, the high-rise was renamed the Trump Building
-
1994
Refurbished the Gulf and Western Building on Columbus Circle, turned it into a 44-story luxury property known as Trump International Hotel and Tower
-
1989
Ran a second hand airline called Trump Shuttle. What a waste of money, I had to sell it, now it is American Airlines Shuttle, btw
-
1988
Acquired the Plaza Hotel in Manhattan for $407 million, invested $50 million to restore the building and boosted it from three-star to four-star hotel (I called it "the Mona Lisa" and sold it for a lot of cash in 1995)
-
1987
Registered as a Republican
-
1985
I bought the Mar-a-Lago estate in Palm Beach and turned it into a private club.You can join if you pay $200K initiation fee (and there is another annual fee for members, it is very expensive to be rich). That year I also opened a casino called Trump Castle. My wife Ivana became a manager, because she is another Trump!
-
1983
I purchased New Jersey Generals, an American football team. I changed team's play schedule and filed an antitrust lawsuit against United States Football League, so NJG are not doing so good now, but back then they were great!
-
1980
Started developing the Trump Tower skyscraper in Manhattan, I payed a crew of undocumented Polish workers to demolish the historic Bonwit Teller store, including art deco features. All this to make architectural critic Paul Goldberger say in 1983 that the tower's atrium is "the most pleasant interior public space to be completed in New York in some years". At the same time I also started a repair job on the Wollman Rink in Central Park and completed the work in three months for $1.95 million, which was $775,000 less than the initial budget!
-
1978
Purchased a 50 percent stake in the derelict Commodore Hotel and turned it into the Grand Hyatt Hotel in 2 years of remodeling
-
1971
Was promoted to president of the company and renamed it The Trump Organization
-
1968
Began my career at my father's real estate development company, Elizabeth Trump & Son
Languages
Skills
Character
Likes😃
FILET-O-FISH BIG MAC CHINA QUARTER POUNDER DIET COKE TARIFFS BIBLE ARTOF DEAL PATRIOTS BEAUTIFUL MODELS GOLD REAL ESTATE WAR PROTESTERS CONSTRUCTION RUSSIANS BANKS SPORTS WOMEN MEXICO RED HAT KOREANS GOLF EVERYBODY[1][2]
Dislikes😞
DOGS MEDIA CNN GERMANS MEXICANS IMMIGRANTS SHITHOLE COUNTRIES UNATTRACTIVE WOMEN BLACKS SUSHI HOT-DOGS ALCOHOL FRUIT CHRISTMAS PARTIES LIBERALS
Wants🥺
BE HEALTHY GROW A TREE BUILD TRUMP AIRPORT HAVE A TASTE DO A HARLEM SHAKE IN CONGRESS TO GOLF MORE OFTEN WIN ALL THE COURT SUITS
Education
-
2011
Asked friends who are prominent and wealthy alumni of the New York Military Academy to secure my academic records so they could not be seen by anyone, never!
-
1966
Transferred to the Wharton School of the University of Pennsylvania and graduated in May 1968 with a B.S. in economics
-
1964
Started studying in Fordham University
-
1959
Enrolled in the New York Military Academy, a private boarding school, after my parents discovered I made frequent trips into Manhattan without their permission
Articles
None published


MR. ROBERT JOHN 23 Belgrave Square London SW1X 8PZ Fax: ++44<PHONE_NUMBER> Hello, I am looking for your cooperation in building a Tourist Hotel or Real Estate in your country. I am sorry if this is not in line with your business. I need an experienced consultant like you to assist me to set up this business and as well develop the project and assume responsibility of ownership as chairman but will be bringing in profit /distribute profit monthly or annually as we may agreed. I have US$30 million dollars deposited with a bank in London for safety which I want to invest into real estate or hotel management with any company who can help and manage on behalf of my family, while I will be in partnership with you. If you are interested you can go ahead to look for a suitable place in any city in your country or any country of your choice where the business is viable. Please, note that as we progress you may be communicating with my only legal adviser, this is because of my poor health; I have been on sick bed for the past months due to the bomb blast that happened in London. Do please indicate your willingness to assist by sending your full names, age, occupation; address, private telephone and fax numbers to enable us commence immediately. I will inform you on the next step to follow. Your immediate reply will be highly appreciated and I shall give you more information on this project. Regards, MR. ROBERT JOHN


The scale() method increases or decreases the size of an element (according to the parameters given for the width and height).
Excercise: Move transform: scale the cube.


React Media Queries
Examples
Async component loading
Sync component loading
Custom listener
Simple
Media query
Responsive navigation


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Docker and Docker Compose
Summary
Using Docker and Docker Compose is highly recommended in development, and is also a good solution in production.
- Description
- Prerequisites
- Differences when using a microservices architecture
- Building a Docker image of your application
- Working with databases
- Elasticsearch
- Sonar
- Common commands
Description
Please note: this Docker configuration is used to run your generated application(s) inside a container image. It’s completely different from the Docker setup that JHipster also provides, which is for running the JHipster generator inside a container
JHipster provides a complete Docker support, in order to:
- Facilitate development, as you can start a full infrastructure very easily, even when using a complex microservices architecture
- For people using Docker Swarm, deploying to production directly, as it uses the same Docker Compose configuration
One great feature of using Docker Compose is that you can easily scale your containers, using the docker-compose scale
command. This is very interesting if you use JHipster with a a microservices architecture.
When generating your application, JHipster generates for you:
- A
Dockerfile
for building a Docker image and running your application inside a container - Several Docker Compose configurations to help you run your application with third-party services, for example a database
Those files are located inside folder src/main/docker/
.
Prerequisites
You have to install Docker and Docker Compose:
Differences when using a microservices architecture
if you are working on a monolithic application, you can skip this section
If you have selected to generate a microservices architecture, each application (gateway, microservice) has a Dockerfile
and a Docker Compose configurations, like with a normal monolithic application.
But you can use the specific docker-compose
sub-generator, which will generate a global Docker Compose configuration for all your gateway(s) and microservices. This will allow you to deploy and scale your complete architecture with one command.
- You need to have all your gateway(s) and microservices in the same directory.
- Create another directory, for example
mkdir docker-compose
. - Go into that directory:
cd docker-compose
. - Run the sub-generator:
yo jhipster:docker-compose
. - The sub-generator will ask you which application you want to have in your architecture, and if you want to have monitoring with ELK included.
This will generate a global Docker Compose configuration, type docker-compose up
to run it, and have all your services running at once.
This configuration will have a pre-configured JHipster Registry, that will configure your services automatically:
- Those services will wait until the JHipster Registry is running until they can start (this can be configured in your
bootstrap-prod.yml
file using thespring.cloud.config.fail-fast
andspring.cloud.config.retry
keys). - The registry will configure your applications, for example it will share the JWT secret token between all services.
- Scaling each service is done using Docker Compose, for example type
docker-compose scale test-app=4
to have 4 instances of application “test” running. Those instances will be automatically load-balanced by the gateway(s), and will automatically join the same Hazelcast cluster (if Hazelcast is your Hibernate 2nd-level cache).
Building and running a Docker image of your application
To create a Docker image of your application, and push it into your Docker registry:
- With Maven, type:
./mvnw package -Pprod docker:build
- With Gradle, type:
./gradlew bootRepackage -Pprod buildDocker
This will package your application with the prod
profile, and install the image.
To run this image, use the Docker Compose configuration located in the src/main/docker
folder of your application:
docker-compose -f src/main/docker/app.yml up
This command will start up your application and the services it relies on (database, search engine, JHipster Registry…).
Working with databases
MySQL, MariaDB, PostgreSQL, MongoDB or Cassandra
Running docker-compose -f src/main/docker/app.yml up
already starts up your database automatically.
If you just want to start your database, and not the other services, use the Docker Compose configuration of your database:
- With MySQL:
docker-compose -f src/main/docker/mysql.yml up
- With MariaDB:
docker-compose -f src/main/docker/mariadb.yml up
- With PostgreSQL:
docker-compose -f src/main/docker/postgresql.yml up
- With MongoDB:
docker-compose -f src/main/docker/mongodb.yml up
- With Cassandra:
docker-compose -f src/main/docker/cassandra.yml up
MongoDB Cluster Mode
If you want to use MongoDB with a replica set or shards and a shared configuration between them, you need to build and set up manually Mongo images.
Follow these steps to do so:
- Build the image:
docker-compose -f src/main/docker/mongodb-cluster.yml build
- Run the database:
docker-compose -f src/main/docker/mongodb-cluster.yml up -d
- Scale the mongodb node service (you have to choose an odd number of nodes):
docker-compose -f src/main/docker/mongodb-cluster.yml scale <name_of_your_app>-mongodb-node=X
- Init the replica set (param is the number of node, folder is the folder where the YML file is located, it’s
docker
by default):docker exec -it <yml_folder_name>_<name_of_your_app>-mongodb-node_1 mongo --eval 'var param=X, folder="<yml_folder_name>"' init_replicaset.js
- Init the shard:
docker exec -it <name_of_your_app>-mongodb mongo --eval 'sh.addShard("rs1/<yml_folder_name>_<name_of_your_app>-mongodb-node_1:27017")'
- Start your application:
docker-compose -f src/main/docker/app.yml up -d <name_of_your_app>-app
If you want to add or remove some MongoDB nodes, just repeat step 3 and 4.
Cassandra
Unlike the other databases, where the schema migrations are executed by the application itself, Cassandra schema migrations are executed by a dedicated Docker container.
Cassandra in development
To start a Cassandra cluster to run your application locally, you can use the docker_compose file for development use:
docker-compose -f src/main/docker/cassandra.yml up -d
Docker-compose will start 2 services:
<name_of_your_app>-cassandra
: a container with the Cassandra node contact point<name_of_your_app>-cassandra-migration
: a container to automatically apply all CQL migrations scripts (create the Keyspace, create the tables, all data migrations, …)
See the Cassandra page for more information on how to add new CQL scripts without restarting the local cluster.
Cassandra in production:
The app.yml
docker-compose file uses cassandra-cluster.yml
to configure the cluster.
The application starts after few seconds (see JHIPSTER_SLEEP variable) to gives the time to the cluster to start and the migrations to be executed.
One big difference between Cassandra and the other databases, is that you can scale your cluster with Docker Compose. To have X+1 nodes in your cluster, run:
docker-compose -f src/main/docker/cassandra-cluster.yml scale <name_of_your_app>-cassandra-node=X
Elasticsearch
Running docker-compose -f src/main/docker/app.yml up
already starts up your search engine automatically.
If you just want to start your Elasticsearch node, and not the other services, use its specific Docker Compose configuration:
docker-compose -f src/main/docker/elasticsearch.yml up
Sonar
A Docker Compose configuration is generated for running Sonar:
docker-compose -f src/main/docker/sonar.yml up
To analyze your code, run Sonar on your project:
- With Maven:
./mvnw sonar:sonar
- With Gradle:
./gradlew sonar
The Sonar reports will be available at: http://localhost:9000
Common commands
List the containers
You can use docker ps -a
to list all the containers
$ docker ps -a
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
fc35e1090021 mysql "/entrypoint.sh mysql" 4 seconds ago Up 4 seconds <IP_ADDRESS>:3306->3306/tcp sampleApplication-mysql
Scale a container
Run docker-compose scale test-app=4
to have 4 instances of application “test” running.
Stop containers
docker-compose -f src/main/docker/app.yml stop
You can also use directly Docker:
docker stop <container_id>
When you stop a container, the data is not deleted, unless you delete the container.
Delete a container
Be careful! All data will be deleted:
docker rm <container_id>


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I enjoy writing front-end code and design
Drop me a line Github


--- title: Bedework Timeline menuTitle: Timeline menuRoot: About layout: default permalink: /about/timeline ---
| 2019 August | Bedework 3.13 |
| 2018 | Bedework 3.12 |
| 2017 | Bedework 3.11 |
| 2014 | Bedework 3.10 |
| 2012 | Bedework 3.9 |
| 2012 | Bedework 3.8 |
| 2011 March | Bedework 3.7 |
| 2010 March | Bedework becomes a Jasig sponsored project |
| 2010 February | Bedework 3.6 |
| 2009 July | Bedework 3.5 |
| 2008 June | Bedework <IP_ADDRESS> |
| 2008 March | Bedework 3.4.1 |
| 2007 November | Bedework visits Europe |
| 2007 September | Bedework 3.4 |
| 2007 April | Bedework 3.3.1 |
| 2007 March | Bedework Turns One |
| 2006 December | Bedework 3.3 |
| 2006 December | Bedework Receives Mellon Foundation MATC Award |
| 2006 August | Bedework 3.2 |
| 2006 July | Bedework 3.1 |
| 2006 March | Bedework 3.0 |
| 2005 June | UWCalendar 2.3 |
| 2005 January | RPI joins CalConnect |
| 2004 August | UWCalendar 2.0 |
| 2003 December | RPI goes production |
| 2003 June | RPI joins UWCalendar team |
| 2002 July | UWCalendar 1.0 |


On the homepage, write some text in the input field and hit [enter]. Your text has been converted into a few colors, all displayed on screen.
Click any color to see the hex color code. To learn more about color codes, the mechanism of this website and the little +??? you may see in the bottom left or right corner, read the next section.
Every character you can possibly type in the input field, has a special code (a simple number), called the unicode code point, used by computers to identify them under the hood. The letter a for example, is number 97, the letter c is 99, t is 116, etc.
The first step of the process consists of extracting all the code points and concatenating them. For example, the text cat would result in 9997116.
The result of the transformation above is always a decimal number. We call it 'decimal', because it is written in base 10. Explaining what that means would lead us too far, so if you want to learn more about that, I recommend this WikiPedia page.
As you may have guessed, there's also different ways (or bases) to write numbers; the one used here is 16, called 'hexadecimal'. To make up for the lack of numbers (we only have 10 numbers, hexadecimal notation needs 16), the first 6 letters of the latin alphabet (a-f) are used in combination with the regular numbers.
The next step is to transform the decimal number above to its hexadecimal counterpart. In this case, 9997116 becomes 988b3c.
The final step is to convert the hexadecimal number to a few colors. Fortunately, one particular way to express colors is based on hexadecimal numbers. A so-called 'hex' color consists of a hashtag (#), followed by three two-digit numbers between 00 and ff, for the red, blue and green components, respectively. For example, #000000 is black (all colors off), #ffffff is white (all colors on) and #ff0000 is red (only red on).
Now that we have one big hexadecimal number, we just have to split that in pieces of 6 digits; each piece will represent one color. In this case, 988b3c already consists of 6 digits, so we get one color, #988b3c.
Of course, the resulting hexadecimal numbers won't always consist of a multiple of 6 digits. In that case, the last bit is shown in the bottom left or right corner.
This project was developed by Tuur Dutoit, inspired by this video by Numberphile on YouTube.
The original version of this code can be found running here.
The source code, licensed under the MIT license, can be found on GitHub. You are free to look at, reuse and adapt the code, without attribution, although that would be nice :)
© 2016 Tuur Dutoit


{%- include head.html -%}
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The universal digital identity protocol for everyday use cases.
We are a seed stage non-profit working on a decentralized digital identity protocol suitable for growing numbers of real world use cases.
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The order Application
The order application is a simple inventory and ordering application for maintaining a catalog of parts and placing an itemized order of those parts. The application has entities that represent parts, vendors, orders, and line items. These entities are accessed using a stateful session bean that holds the business logic of the application. A simple singleton session bean creates the initial entities on application deployment. A Facelets web application manipulates the data and displays data from the catalog.
The information contained in an order can be divided into elements. What is the order number? What parts are included in the order? What parts make up that part? Who makes the part? What are the specifications for the part? Are there any schematics for the part? The order application is a simplified version of an ordering system that has all these elements.
The order application consists of a single WAR module that includes the enterprise bean classes, the entities, the support classes, and the Facelets XHTML and class files.
Entity Relationships in the order Application
The order application demonstrates several types of entity relationships: self-referential, one-to-one, one-to-many, many-to-one, and unidirectional relationships.
Self-Referential Relationships
A self-referential relationship occurs between relationship fields in the same entity. Part has a field, bomPart, which has a one-to-many relationship with the field parts, which is also in Part. That is, a part can be made up of many parts, and each of those parts has exactly one bill-of-material part.
The primary key for Part is a compound primary key, a combination of the partNumber and revision fields. This key is mapped to the PARTNUMBER and REVISION columns in the EJB_ORDER_PART table:
... @ManyToOne @JoinColumns({ @JoinColumn(name="BOMPARTNUMBER", referencedColumnName="PARTNUMBER"), @JoinColumn(name="BOMREVISION", referencedColumnName="REVISION") }) public Part getBomPart() { return bomPart; } ... @OneToMany(mappedBy="bomPart") public Collection<Part> getParts() { return parts; } ...
One-to-One Relationships
Part has a field, vendorPart, that has a one-to-one relationship with VendorPart’s part field. That is, each part has exactly one vendor part, and vice versa.
Here is the relationship mapping in Part:
@OneToOne(mappedBy="part") public VendorPart getVendorPart() { return vendorPart; }
Here is the relationship mapping in VendorPart:
@OneToOne @JoinColumns({ @JoinColumn(name="PARTNUMBER", referencedColumnName="PARTNUMBER"), @JoinColumn(name="PARTREVISION", referencedColumnName="REVISION") }) public Part getPart() { return part; }
Note that, because Part uses a compound primary key, the @JoinColumns annotation is used to map the columns in the PERSISTENCE_ORDER_VENDOR_PART table to the columns in PERSISTENCE_ORDER_PART. The PERSISTENCE_ORDER_VENDOR_PART table’s PARTREVISION column refers to PERSISTENCE_ORDER_PART’s REVISION column.
One-to-Many Relationship Mapped to Overlapping Primary and Foreign Keys
Order has a field, lineItems, that has a one-to-many relationship with LineItem’s field order. That is, each order has one or more line item.
LineItem uses a compound primary key that is made up of the orderId and itemId fields. This compound primary key maps to the ORDERID and ITEMID columns in the PERSISTENCE_ORDER_LINEITEM table. ORDERID is a foreign key to the ORDERID column in the PERSISTENCE_ORDER_ORDER table. This means that the ORDERID column is mapped twice: once as a primary key field, orderId; and again as a relationship field, order.
Here’s the relationship mapping in Order:
@OneToMany(cascade=ALL, mappedBy="order") public Collection<LineItem> getLineItems() { return lineItems; }
Here is the relationship mapping in LineItem:
@ManyToOne public Order getOrder() { return order; }
Unidirectional Relationships
LineItem has a field, vendorPart, that has a unidirectional many-to-one relationship with VendorPart. That is, there is no field in the target entity in this relationship:
@ManyToOne public VendorPart getVendorPart() { return vendorPart; }
Primary Keys in the order Application
The order application uses several types of primary keys: single-valued primary keys, compound primary keys, and generated primary keys.
Generated Primary Keys
VendorPart uses a generated primary key value. That is, the application does not assign primary key values for the entities but instead relies on the persistence provider to generate the primary key values. The @GeneratedValue annotation is used to specify that an entity will use a generated primary key.
In VendorPart, the following code specifies the settings for generating primary key values:
@TableGenerator( name="vendorPartGen", table="PERSISTENCE_ORDER_SEQUENCE_GENERATOR", pkColumnName="GEN_KEY", valueColumnName="GEN_VALUE", pkColumnValue="VENDOR_PART_ID", allocationSize=10) @Id @GeneratedValue(strategy=GenerationType.TABLE, generator="vendorPartGen") public Long getVendorPartNumber() { return vendorPartNumber; }
The @TableGenerator annotation is used in conjunction with @GeneratedValue’s strategy=TABLE element. That is, the strategy used to generate the primary keys is to use a table in the database. The @TableGenerator annotation is used to configure the settings for the generator table. The name element sets the name of the generator, which is vendorPartGen in VendorPart.
The EJB_ORDER_SEQUENCE_GENERATOR table, whose two columns are GEN_KEY and GEN_VALUE, will store the generated primary key values. This table could be used to generate other entity’s primary keys, so the pkColumnValue element is set to VENDOR_PART_ID to distinguish this entity’s generated primary keys from other entity’s generated primary keys. The allocationSize element specifies the amount to increment when allocating primary key values. In this case, each VendorPart’s primary key will increment by 10.
The primary key field vendorPartNumber is of type Long, as the generated primary key’s field must be an integral type.
Compound Primary Keys
A compound primary key is made up of multiple fields and follows the requirements described in Primary Keys in Entities. To use a compound primary key, you must create a wrapper class.
In order, two entities use compound primary keys: Part and LineItem.
Part uses the PartKey wrapper class. Part’s primary key is a combination of the part number and the revision number. PartKey encapsulates this primary key.
LineItem uses the LineItemKey class. LineItem’s primary key is a combination of the order number and the item number. LineItemKey encapsulates this primary key.
This is the LineItemKey compound primary key wrapper class:
package order.entity; public final class LineItemKey implements java.io.Serializable { private Integer orderId; private int itemId; public int hashCode() { return ((this.getOrderId()==null ?0:this.getOrderId().hashCode()) ^ ((int) this.getItemId())); } public boolean equals(Object otherOb) { if (this == otherOb) { return true; } if (!(otherOb instanceof LineItemKey)) { return false; } LineItemKey other = (LineItemKey) otherOb; return ((this.getOrderId()==null ?other.orderId==null:this.getOrderId().equals (other.orderId)) && (this.getItemId == other.itemId)); } public String toString() { return "" + orderId + "-" + itemId; } }
The @IdClass annotation is used to specify the primary key class in the entity class. In LineItem, @IdClass is used as follows:
@IdClass(order.entity.LineItemKey.class) @Entity ... public class LineItem { ... }
The two fields in LineItem are tagged with the @Id annotation to mark those fields as part of the compound primary key:
@Id public int getItemId() { return itemId; } ... @Id @Column(name="ORDERID", nullable=false, insertable=false, updatable=false) public Integer getOrderId() { return orderId; }
For orderId, you also use the @Column annotation to specify the column name in the table and that this column should not be inserted or updated, as it is an overlapping foreign key pointing at the PERSISTENCE_ORDER_ORDER table’s ORDERID column (see One-to-Many Relationship Mapped to Overlapping Primary and Foreign Keys). That is, orderId will be set by the Order entity.
In LineItem’s constructor, the line item number (LineItem.itemId) is set using the Order.getNextId method:
public LineItem(Order order, int quantity, VendorPart vendorPart) { this.order = order; this.itemId = order.getNextId(); this.orderId = order.getOrderId(); this.quantity = quantity; this.vendorPart = vendorPart; }
Order.getNextId counts the number of current line items, adds 1, and returns that number:
public int getNextId() { return this.lineItems.size() + 1; }
Part doesn’t require the @Column annotation on the two fields that comprise Part’s compound primary key, because Part’s compound primary key is not an overlapping primary key/foreign key:
@IdClass(order.entity.PartKey.class) @Entity ... public class Part { ... @Id public String getPartNumber() { return partNumber; } ... @Id public int getRevision() { return revision; } ... }
Entity Mapped to More Than One Database Table
Part’s fields map to more than one database table: PERSISTENCE_ORDER_PART and PERSISTENCE_ORDER_PART_DETAIL. The PERSISTENCE_ORDER_PART_DETAIL table holds the specification and schematics for the part. The @SecondaryTable annotation is used to specify the secondary table.
... @Entity @Table(name="PERSISTENCE_ORDER_PART") @SecondaryTable(name="PERSISTENCE_ORDER_PART_DETAIL", pkJoinColumns={ @PrimaryKeyJoinColumn(name="PARTNUMBER", referencedColumnName="PARTNUMBER"), @PrimaryKeyJoinColumn(name="REVISION", referencedColumnName="REVISION") }) public class Part { ... }
PERSISTENCE_ORDER_PART_DETAIL and PERSISTENCE_ORDER_PART share the same primary key values. The pkJoinColumns element of @SecondaryTable is used to specify that PERSISTENCE_ORDER_PART_DETAIL’s primary key columns are foreign keys to PERSISTENCE_ORDER_PART. The @PrimaryKeyJoinColumn annotation sets the primary key column names and specifies which column in the primary table the column refers to. In this case, the primary key column names for both PERSISTENCE_ORDER_PART_DETAIL and PERSISTENCE_ORDER_PART are the same: PARTNUMBER and REVISION, respectively.
Cascade Operations in the order Application
Entities that have relationships to other entities often have dependencies on the existence of the other entity in the relationship. For example, a line item is part of an order; if the order is deleted, then the line item also should be deleted. This is called a cascade delete relationship.
In order, there are two cascade delete dependencies in the entity relationships. If the Order to which a LineItem is related is deleted, the LineItem also should be deleted. If the Vendor to which a VendorPart is related is deleted, the VendorPart also should be deleted.
You specify the cascade operations for entity relationships by setting the cascade element in the inverse (nonowning) side of the relationship. The cascade element is set to ALL in the case of Order.lineItems. This means that all persistence operations (deletes, updates, and so on) are cascaded from orders to line items.
Here is the relationship mapping in Order:
@OneToMany(cascade=ALL, mappedBy="order") public Collection<LineItem> getLineItems() { return lineItems; }
Here is the relationship mapping in LineItem:
@ManyToOne public Order getOrder() { return order; }
BLOB and CLOB Database Types in the order Application
The PARTDETAIL table in the database has a column, DRAWING, of type BLOB. BLOB stands for binary large objects, which are used for storing binary data, such as an image. The DRAWING column is mapped to the field Part. drawing of type java.io.Serializable. The @Lob annotation is used to denote that the field is large object.
@Column(table="PERSISTENCE_ORDER_PART_DETAIL") @Lob public Serializable getDrawing() { return drawing; }
PERSISTENCE_ORDER_PART_DETAIL also has a column, SPECIFICATION, of type CLOB. CLOB stands for character large objects, which are used to store string data too large to be stored in a VARCHAR column. SPECIFICATION is mapped to the field Part.specification of type java.lang.String. The @Lob annotation is also used here to denote that the field is a large object.
@Column(table="PERSISTENCE_ORDER_PART_DETAIL") @Lob public String getSpecification() { return specification; }
Both of these fields use the @Column annotation and set the table element to the secondary table.
Temporal Types in the order Application
The Order.lastUpdate persistent property, which is of type java.util.Date, is mapped to the PERSISTENCE_ORDER_ORDER.LASTUPDATE database field, which is of the SQL type TIMESTAMP. To ensure the proper mapping between these types, you must use the @Temporal annotation with the proper temporal type specified in @Temporal’s element. @Temporal’s elements are of type javax.persistence.TemporalType. The possible values are
DATE, which maps to java.sql.Date
TIME, which maps to java.sql.Time
TIMESTAMP, which maps to java.sql.Timestamp
Here is the relevant section of Order:
@Temporal(TIMESTAMP) public Date getLastUpdate() { return lastUpdate; }
Managing the order Application’s Entities
The RequestBean stateful session bean contains the business logic and manages the entities of order. RequestBean uses the @PersistenceContext annotation to retrieve an entity manager instance, which is used to manage order’s entities in RequestBean’s business methods:
@PersistenceContext private EntityManager em;
This EntityManager instance is a container-managed entity manager, so the container takes care of all the transactions involved in the managing order’s entities.
Creating Entities
The RequestBean.createPart business method creates a new Part entity. The EntityManager.persist method is used to persist the newly created entity to the database.
Part part = new Part(partNumber, revision, description, revisionDate, specification, drawing); em.persist(part);
The ConfigBean singleton session bean is used to initialize the data in order. ConfigBean is annotated with @Startup, which indicates that the EJB container should create ConfigBean when order is deployed. The createData method is annotated with @PostConstruct and creates the initial entities used by order by calling RequestsBean's business methods.
Finding Entities
The RequestBean.getOrderPrice business method returns the price of a given order, based on the orderId. The EntityManager.find method is used to retrieve the entity from the database.
Order order = em.find(Order.class, orderId);
The first argument of EntityManager.find is the entity class, and the second is the primary key.
Setting Entity Relationships
The RequestBean.createVendorPart business method creates a VendorPart associated with a particular Vendor. The EntityManager.persist method is used to persist the newly created VendorPart entity to the database, and the VendorPart.setVendor and Vendor.setVendorPart methods are used to associate the VendorPart with the Vendor.
PartKey pkey = new PartKey(); pkey.partNumber = partNumber; pkey.revision = revision; Part part = em.find(Part.class, pkey); VendorPart vendorPart = new VendorPart(description, price, part); em.persist(vendorPart); Vendor vendor = em.find(Vendor.class, vendorId); vendor.addVendorPart(vendorPart); vendorPart.setVendor(vendor);
Using Queries
The RequestBean.adjustOrderDiscount business method updates the discount applied to all orders. This method uses the findAllOrders named query, defined in Order:
@NamedQuery( name="findAllOrders", query="SELECT o FROM Order o" )
The EntityManager.createNamedQuery method is used to run the query. Because the query returns a List of all the orders, the Query.getResultList method is used.
List orders = em.createNamedQuery( "findAllOrders") .getResultList();
The RequestBean.getTotalPricePerVendor business method returns the total price of all the parts for a particular vendor. This method uses a named parameter, id, defined in the named query findTotalVendorPartPricePerVendor defined in VendorPart.
@NamedQuery( name="findTotalVendorPartPricePerVendor", query="SELECT SUM(vp.price) " + "FROM VendorPart vp " + "WHERE vp.vendor.vendorId = :id" )
When running the query, the Query.setParameter method is used to set the named parameter id to the value of vendorId, the parameter to RequestBean.getTotalPricePerVendor:
return (Double) em.createNamedQuery( "findTotalVendorPartPricePerVendor") .setParameter("id", vendorId) .getSingleResult();
The Query.getSingleResult method is used for this query because the query returns a single value.
Removing Entities
The RequestBean.removeOrder business method deletes a given order from the database. This method uses the EntityManager.remove method to delete the entity from the database.
Order order = em.find(Order.class, orderId); em.remove(order);
Building, Packaging, Deploying, and Running the order Application
This section explains how to build, package, deploy, and run the order application. To do this, you will create the database tables in the Java DB server, then build, deploy, and run the example.
To Build, Package, Deploy, and Run order UsingNetBeans IDE
- From the File menu, choose Open Project.
- In the Open Project dialog, navigate to:
tut-install/examples/persistence/
- Select the order folder.
- Select the Open as Main Project check box.
- Click Open Project.
- In the Projects tab, right-click the order project and select Run.
NetBeans IDE opens a web browser to http://localhost:8080/order/.
To Build, Package, Deploy, and Run order Using Ant
- In a terminal window, go to:
tut-install/examples/persistence/order/
- Type the following command:
ant
This runs the default task, which compiles the source files and packages the application into a WAR file located at tut-install/examples/persistence/order/dist/order.war.
- To deploy the WAR, make sure that the GlassFish Server is started, then
type the following command:
ant deploy
- Open a web browser to http://localhost:8080/order/ to create and update the order data.
The all Task
As a convenience, the all task will build, package, deploy, and run the application. To do this, type the following command:
ant all


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{% extends "layout_multi_sections-lcc.html" %} {% block page_title %} Committee Structure {% endblock %} {% block css_register %} {% endblock %} {% block header %} Committee Structure {% endblock%} {% block main_nav %} {% endblock %} {% block sectionOneTop %} {% endblock %} {% block sectionOneFull%} {% endblock %} {% block breadcrumb %}
Council meetings involve all ninety nine of the City’s elected members and are chaired by the Lord Mayor.
Somewhere in the region of six ordinary Council meetings are held each year, usually commencing at 1.00 p.m. on a Wednesday. Business conducted at an ordinary Council meeting includes:
The Annual meeting of the Council, usually held on an evening in late May, elects the Lord Mayor for the municipal year and determines all committee and decision making arrangements for the new municipal year.
Occasionally the Council holds special meetings to appoint honorary aldermen or honorary freemen of the City.
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MeeToo 5.0 - Back up files
Document Id: KBDOC-00207
Created: 2012-09-21
Updated: 2012-09-26
Learn how to back up MeeToo 5.0
Things are backed up to The Cloud! You'll never lose anything!

- Your theme color.
- The accounts you've set up on your phone.
- Your favorite.
To back up MeeToo 5.0
- On the MeeToo 5.0 tap Personalization.
- Tap Backup.
Tags: mobilephone, contact, transfer, backups, favorite


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