Alkitab (Suara) App
Beautifully designed bible app that is optimized for speed. This is an open source bible app built with the latest tech stack out there: React Native & RealmJS
Offline Access 🌩
Browse and read verses even if you are not connected to the internet
Blazing Fast Search ⚡
Search the verses by keyword, it will return as fast as you type
Quick Jump 🏃
Type the address and directly jump to that verse
Dramatic Audio 🔊
Play dramatic audio from alkitabsuara.com
Behind Alkitab App
I am a ux/frontend engineer who loves to design and create things. I really want to build this thing since the alkitabsuara.com was launched because they don't have any app (you need to download soundcloud app). This is one of the way to use my talent for the Kingdom of God.


Class Ws_rolesModel
Ws_rolesModel Store role name recods for role based access control module.
- WsDatabase
- WsModel
- Ws_rolesModel
See:
See:
See:
See:
See:
Located at models/Ws_rolesModel.php
WsAuth
See:
Ws_userModel
See:
Ws_permissionsModel
See:
Ws_role_permModel
See:
Ws_user_roleModel
Located at models/Ws_rolesModel.php
public
|
beforeDelete(),
beforeSave(),
delete(),
getAll(),
getNextId(),
getOne(),
idExists(),
save(),
search(),
setTableName()
|
__destruct(),
close(),
execute(),
execute_batch(),
query()
|
$className,
$columnCanBeNull,
$columnHeaders,
$columnType,
$columns,
$foreignKeys,
$hiddenColumns,
$metaName,
$primary_key,
$tableName
|
$isConnected,
$nRows
|


If comment symbol blocked don't use --
AAA' or 1=1--
is equivalent to
AAA' or 'a'='a
If blacklist employed
SELECT
is equivalent
SeLeCt
%00SELECT
SELSELECTECT
%53%45%4c%45%43%54
%2553%2545%254c%2545%2543%2554


Windows XP Support Ends: April 8th, 2014 Other MS Products support ending on this date Microsoft Office 2003 Microsoft Exchange Server 2003


Cultural Blog Part 2
- What did you think about meditation before reading chapter 2?
- What new things have you learnt about meditation?
- Did any of the suggested meditation techniques stand out to you?
- Any other musings?
I always thought it was a lifestyle choice which I could never really get my head around but I think that is due to a lack of knowledge.
That you have to start to become aware of your own distraction and learn to bring yourself back to the state of focus. Repeat and teach your body/mind to learn.
That you can really meditate in any posture you want and you can find your own way that works for you.
I've always thought that playing piano was my own way of 'meditating'. I have to play now and again just to kind of keep me feeling good overall. It used to be gaming or guitar but it has evolved into piano.


DRAW ON THE MAP
The draw tools allow you to add different shapes and labels to your map. They could be handy for highlighting an area of interest or labeling a specific location.
When you select a draw tool, a tooltip will guide you through its usage. For example,
To add a label, type the label text in the textbox after 'Add text to your map:' and click the 'Add Text' button. The Draw tool window will close. Just click a location on the map where you would like the label to appear. The label will be centered on the location you click.
To clear the shapes or labels you added, click the 'Clear Shapes' or 'Clear Text' buttons in the Draw window.
Created with the Personal Edition of HelpNDoc: Easily create Help documents


Defiant Algerian protesters reject December presidential vote
Demonstrators take to the streets for the 40th consecutive week, demanding cancellation of December 12 election.
Tens of thousands of Algerian protesters have rallied in the capital Algiers and cities across the country demanding that a presidential election scheduled for December be cancelled.
Draped in Algeria's tricolour flag, demonstrators in central Algiers chanted slogans against the army high command and its chief of staff, Lieutenant General Ahmed Gaid Salah, as they marked the 40th week of the nationwide movement.
Gaid Salah emerged as a key figure after former President Abdelaziz Bouteflika resigned in early April, following weeks of unprecedented street protests demanding he withdraw his bid for a fifth consecutive term in office.
The powerful military chief has maintained that a presidential election is the surest way to break the country's political deadlock, pointing out that people's key demands have already been met, including the detention of officials suspected of corruption.
Translation: "One, two, three, [long] live Algeria ... Gaid Salah is a dictator."
Demonstrators, however, insist that all members of the old guard, including interim President Abdelkader Bensalah and Prime Minister Noureddine Bedoui, former associates of Bouteflika, be removed.
Activists in recent days called on people to take part in night-time protests to reject the vote, which they said will allow the current system to remain in place with a few "cosmetic" changes.
"Algerians are rejecting December's election because they see it as an attempt to regenerate the system," said Zine Labidine Ghebouli, an Algerian analyst.
"This is especially the case considering the repressive measures being taken by the authorities to impose the election," said Ghebouli, referring to the arrest of several high-profile activists and politicians.
Translation: "Generals to the dustbin [of history] and Algeria will become independent."
Security forces on Thursday arrested more than 80 people during a night-time protest in Algiers, according to a prisoners' rights committee.
Though campaigning for the election officially kicked off on Sunday, the five candidates - all senior Bouteflika-era officials - public appearances have seen a dismal turnout, with disgruntled attendees at times interrupting presidential hopefuls and haranguing them for taking part in the vote.
Ghebouli said a national dialogue conference offered the best alternative. He said it would allow Algerians from all walks of life and ideological backgrounds to address their concerns and agree on a political plan.
"Whether this roadmap endorses the constituent assembly option or a transitional presidency, it will serve as an alternative to the current political impasse. There is an urgent need today to break the stalemate and find a way out of the legitimacy crisis."
Additional reporting by Ramy Allahoum


mano-js
mano-js
is a library targeted at sensor processing and gesture modeling and recognition. The library is designed to offer a high-level client-side wrapper of waves-lfo, lfo-motion, xmm-client.
Overview
Install
npm install [--save --save-exact] ircam-rnd/mano-js
Example
import * as mano from 'mano-js/client';
const processedSensors = new mano.ProcessedSensors();
const example = new mano.Example();
const trainingSet = new mano.TrainingSet();
const xmmProcessor = new mano.XmmProcesssor();
example.setLabel('test');
processedSensors.addListener(example.addElement);
// later...
processedSensors.removeListener(example.addElement);
const rapidMixJsonExample = example.toJSON();
trainingSet.addExample(rapidMixJsonExample);
const rapidMixJsonTrainingSet = trainingSet.toJSON();
xmmProcessor
.train(rapidMixJsonTrainingSet)
.then(() => {
// start decoding
processedSensors.addListener(data => {
const results = xmmProcessor.run(data);
console.log(results);
});
});
Server-side considerations
By default, the training is achieved by calling the dedicated service available at https://como.ircam.fr/api/v1/train
, however a similar service can be simply deployed by using the xmm-node and rapid-mix adapters librairies.
An concrete example of such solution is available in examples/mano-js-example
.
Acknowledgements
The library as been developped at Ircam - Centre Pompidou by Joseph Larralde and Benjamin Matuszewski in the framework of the EU H2020 project Rapid-Mix.


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java.lang.Object coalda.data.evaluation.SOMEvaluator
public class SOMEvaluator
| Field Summary | |
|---|---|
private LabelAccess |
allLabels
Loads labels of feature vectors. |
private CalculationAccess |
calcAccess
Loads calculation data. |
private boolean |
debug
Debug mode. |
private Table |
tableNodes
All nodes of the SOM. |
| Constructor Summary | |
|---|---|
SOMEvaluator()
Constructor. |
| Method Summary | |
|---|---|
void |
evaluate(int calculationID)
Method evaluate. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
|---|
private CalculationAccess calcAccess
private Table tableNodes
private LabelAccess allLabels
private boolean debug
| Constructor Detail |
|---|
public SOMEvaluator()
| Method Detail |
|---|
public void evaluate(int calculationID)
calculationID
- The ID of the calculation to evaluate.
|
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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


suspend fun getTorDItems(): List<ShopItem>
Gets the Truth or Dare available items in the shop
Return a list of the shop items


An Angular app that allows users to search for any github user using their git username and displays their public profile information and public repositories.


2 dead after Porsche crashes into building’s 2nd floor
by The Associated PressTOMS RIVER, N.J. (AP) — Police say a convertible traveling at high speed went airborne and crashed into the second floor of a New Jersey commercial building, killing both of the car’s occupants.
Toms River police say the red Porsche Boxster went out of control just after 6:30 a.m. Sunday. The car hit the center median, struck an embankment and went airborne into the building.
Police said two Toms River men, 22-year-old Braden DeMartin and 23-year-old Daniel Foley, were deceased when emergency responders arrived at the scene.
Police said the structure, which was unoccupied at the time, had been deemed unsafe by a building inspector. Sgt. Vincent Padalino said the building, which is across from Hooper Avenue Elementary School, houses four businesses, including a counseling service and a real estate company.
The Associated Press


--- layout: project title: Error Correction Coding Study date: December, 2013 excerpt: An independent study focused on forward error correction theory and operation. I completed this project during my masters coursework at RIT. categories: matlab information-theory ---
This project was done as an independent study during my masters coursework at RIT. The topics that I studied included an overview of the AWGN channel, finite field theory, algebraic coding theory, linear algebraic codes, BCH codes, Reed-Solomon codes, and convolutional & turbo codes. I wrote papers describing each of the topics and included Matlab simulations showing the implementation of some of the coding schemes.
Here are the papers that were written for this project:


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{{step.name}} |
Name is required
Name must be between 3 and 100 characters long
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{{step.description}} |
Description must be maximum 1000 characters long
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Step #: {{step.sortOrder}}
Name: {{step.name}}
Description: {{step.description}}
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Open source and upgraded PP v3 shredder.
This component is being used widely in our product family since to years and every detail have been taken care of. The unit is being produced with professional equipment and is according to industrial tolerances for all it's components.
This product is open source, please check the wiki section for downloads and the 3D model. Feel free to copy as many others did. Laser files and howtos are included.
| Part Nr. | Description | Configuration |
|---|---|---|
| 1 | Hopper | Stainless - 2mm with Polycarbonate window |
| 2 | Bearing Mount Blocks | |
| 3 | Drive shaft | 30 mm shaft - 32 mm hexbar |
| 4 | UFCL205 Bearing | |
| 5 | Shields | Stainless - 2mm with Polycarbonate window |
| 6 | Sieve | 5mm hole size |
| 7 | Mount blocks | For MRV90 Gearbox |
| 8 | Staionary knifes | Stainless |
| 9 | Mobile knifes | Stainless - optimized and sharpened |
Product Resources
Instagram | Github (open source files) | EMail | Facebook | Wiki | Community map
Discord - Support Chat (pre-sales, community) | Telefon (Whatsapp, English, French, German, Spanish, Catalan)


My Game Site
Home
Dragon Game
Chose Your Own Adventure
About Me
Choose Your Own Adventure
This is a short game I have made that is still in progress. I hope you like it!
Yes
No
What would you like to buy?
Snacks-25 gp
Figurines-50 gp
Lanterns-75 gp
Amber Jewelry-100 gp


Toggle navigation
ContractManagement
Create Contract
View Contract
You are not Allowed To add User
Full Name
Wallet Address
Role of User
Select Role...
Admin
User
Add User


| Name | Version | Resolution | Size | Uploaded | Download |
|---|---|---|---|---|---|
| Default Normals and Speculars | 0.0.1 Alpha | 1024x | 20MB | June 10, 2020 | |
| Default Normals and Speculars | 0.0.1 Alpha | 512x | 9,1MB | June 18, 2020 | |
| Default Normals and Speculars | 0.0.1 Alpha | 256x | 3,1MB | June 21, 2020 | |
| Default Normals and Speculars | 0.0.2 Alpha | 1024x | 28,5MB | June 18, 2020 | |
| Default Normals and Speculars | 0.0.2 Alpha | 512x | 12,7MB | June 18, 2020 | |
| Default Normals and Speculars | 0.0.2 Alpha | 256x | 3,1MB | June 21, 2020 | |
| Default Normals and Speculars | 0.0.3 Alpha | 1024x | 40MB | July 6, 2020 | |
| Default Normals and Speculars | 0.0.3 Alpha | 512x | 14,6MB | Juny 6, 2020 | |
| Default Normals and Speculars | 0.0.3 Alpha | 256x | 5,3MB | July 6, 2020 | |
| Default Normals and Speculars | 0.0.4 Alpha | 1024x | 33,7MB | July 14, 2020 | |
| Default Normals and Speculars | 0.0.4 Alpha | 512x | 15,4MB | July 14, 2020 | |
| Default Normals and Speculars | 0.0.4 Alpha | 256x | 5,7MB | July 14, 2020 |
| Name | Version | Resolution | Size | Uploaded | Download |
|---|---|---|---|---|---|
| Default Normals and Speculars | 0.0.1 Alpha | 1024x | 2,5MB | June 10, 2020 | |
| Default Normals and Speculars | 0.0.1 Alpha | 512x | 3,4MB | June 21, 2020 | |
| Default Normals and Speculars | 0.0.1 Alpha | 256x | 5,3MB | June 21, 2020 |
Of course, you just change the format version in pack.mcmeta, which was previously 4, you change it to 5.
if you get permission from the developer or me. you can modify our texture, you can contact via email. and we will reply with conditions
Dimas Maulana creates / converts our textures using the application that we keep secret. and the results were very bad, because many asked to make the ones for pocket / bedrock editions so me and Dimas Maulana decided to make them
are you busy Dimas is also busy and has a lot to do with me


I love exploring how the web can best be utilized in teaching, learning, and higher education, as well as cultivating a deeper understanding more generally of how the web influences people and cultures (and vice versa) in order to drive positive change in the world. I am always seeking opportunities to teach, consult, research, learn, and facilitate my own and others' professional growth.
I create compelling web content and user experiences, craft cogent information architecture, and develop effective content strategy to drive institutional growth and success. And I enjoy teaching others to do the same. I love empowering others to become web creators.
I am the mother of two mischievious fur babies, and a member of the "auntie brigade" with one niece-by-relation and many nieces and nephews "by choice."
I love to rock out to the Hamilton soundtrack or classic rock, and listen to NPR podcasts during my morning commute to keep me sane.
I'm a Seattle sports fan, an ex-barista with a major coffee addiction, a proud geek, and a bibliophile who loves historical fiction, time travel, and has a major Harry Potter obsession. (Ravenclaw for life!)
I created this single page web app as my capstone project for WATS 4030 with Vue.JS, Bootstrap-Vue, and the Firebase API.
View Project View Code Close ProjectI created this short video using PowToon for my final project in WATS 1000 (the first course in my Web Development Certificate program) to showcase the research I did on applying User Experience (UX) and User Interface (UI) principles to an eLearning context.
View Project Close ProjectI created this as my final project for WATS 1010 (part of the Web Development Certificate program) about a fictional company, using HTML5, CSS3, and Bootstrap 3.
View Project View Code Close ProjectI created this AngularJS web app using Open Weather Maps API, SASS, Yeoman, Bower, and Grunt.
View Project View Code Close ProjectThis blog was created in WordPress during WATS 4030 to showcase my analysis of user experience (UX) principles (both within and outside of higher ed web) and demonstrate my abilities in usability testing.
View Project Close ProjectI created this website using Bootstrap 4 for client Rachel Jordan, Bella Capelli Salon, Tacoma, WA.
View Project View Code Close Project


I found this process really helpful. Even though it took me a while to redesign my website, it does not look as I want it but have still learnt a lot.
I am always thought that meditation was a technique to relax. I remember when I went to Thailand I saw all this monks sitting on the temples chilling for hours. I did not realize that there where inside their minds meditating.
I learnt that practicing meditation has positive medical results for our health. Also that meta-attention is the secret of concentration
I am on day 15 of headspace.com and I really enjoying it. I find that breathing is really important in the practicing as Chade-Meng says: meditation is breathing as if your life depends on it.
Be Mindful


--- comments: true layout: page title: ! 'Kalman Filtering with Intermittent Observations: Tail Distribution and Critical Value' ---
Yilin Mo and Bruno Sinopoli
IEEE Transactions on Automatic Control, Mar 2012, Volume 57, Issue 3, Pages 677-689
Link to the paper
If you want to leave any comments, you can annotate the pdf. I will try to be responsive. You can also annotate this page or leave comments below.
In this paper, we analyze the performance of Kalman filtering for discrete-time linear Gaussian systems, where packets containing observations are dropped according to a Markov process modeling a Gilbert-Elliot channel. To address the challenges incurred by the loss of packets, we give a new definition of non-degeneracy, which is essentially stronger than the classical definition of observability, but much weaker than one-step observability, which is usually used in the study of Kalman filtering with intermittent observations. We show that the trace of the Kalman estimation error covariance under intermittent observations follows a power decay law. Moreover, we are able to compute the exact decay rate for non-degenerate systems. Finally, we derive the critical value for non-degenerate systems based on the decay rate, improving upon the state of the art.
The Theorem 4 is flawed due to the fact that in (39), \(\text{det}(U)\) could be zero. However, the main results (Theorem 5-8) still hold. To fix the problem in (39), one can check the proof of Theorem 7 in the arxiv paper.


A log format is defined as a line of text where its data is separated by a single char or a string. The log format can also have a specific start and stop sequence to indicate start and end of text, this is especially good when using it over the network.
Log_format is the interface for all inherited formats, override the pure virtual functions to implement a new format:
public:
virtual QString get_description() const = 0;
virtual QString get_start_seq() const = 0;
virtual QString get_stop_seq() const = 0;
virtual QString get_origin() const = 0;
virtual bool match(const QString first_line) const = 0;
private:
virtual QSharedPointer<Log_item> create_log_item(const QString value, const QString origin) const = 0;
As seen above a Log_format class decendant is responsible for the creation of its log items.
Log_item serves as the base class for log items. A log item is used to break down the line of text to its predefined data structure. The data structure will eventually end up as columns in the GUI. This is a list of the data structure, all access to these private variables is done with a getter.
int m_index;
Log_type m_type;
QString m_text;
QString m_date;
QString m_time;
QString m_file;
QString m_line;
QString m_application;
QString m_module;
QString m_thread;
QString m_origin;
In the name of simplicity for the end user all formats shall try to auto-sense its format when requested. To ensure a valid match regular expressions are used.
virtual bool match(const QString first_line) const = 0;
As an improvemnet the formats could be loaded on demand via QT plugin architecture.
To add a format you need to modify the Log_format_factor class.
QSharedPointer<Log_format> Log_format_factory::create(const QString first_line, const QString origin)
{
QSharedPointer<Log_format> format;
format = QSharedPointer<G3_log_format>(new G3_log_format(origin));
if(format->match(first_line))
return format;
format = QSharedPointer<NRG_log_format>(new NRG_log_format(origin));
if(format->match(first_line))
return format;
format = QSharedPointer<NRG_legacy_log_format>(new NRG_legacy_log_format(origin));
if(format->match(first_line))
return format;
return QSharedPointer<Unknown_log_format>(new Unknown_log_format());
}


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| Interface Summary | |
| Authenticator | This interface describes objects that are able to authenticate userid/password combinations. |
| DispatcherPipelineableServlet | |
| InsertableServlet | An InsertableServlet is a PipelineableServlet that knows how to splice itself into an existing servlet pipeline at startup time. |
| PipelineableServlet | A PipelineableServlet is a Servlet that knows how to operate in a PipelineServlet. |
| Class Summary | |
| BasicAuthenticationPipelineServlet | This pipeline servlet implements Basic authentication. |
| BasicAuthenticator | This implementation of Authenticator takes a single property, passwords. |
| CookiePipelineServlet | The CookiePipelineServlet extracts any cookies found in the request's headers and puts them into an attribute named ATTRIBUTE_NAME. |
| DispatcherPipelineServletImpl | This will redirect a request to one of several servlets based on some dispatching attribute of the request. |
| DynamoPipelineServlet | This servlet performs dynamo specific processing on the request and response object. |
| FileFinderPipelineServlet | This pipeline servlet will set the pathTranslated by appending the pathInfo to the document root (set as a property). |
| HeadPipelineServlet | This servlet acts as the head of the servlet pipeline. |
| InsertableServletImpl | An InsertableServletImpl is an implementation of an InsertableServlet that splices itself into a servlet pipeline in doStartService. |
| MimeTypeDispatcherPipelineServlet | This will redirect a request to one of several servlets based on the mime-type of the request. |
| MimeTyperPipelineServlet | This pipeline servlet will add an attribute factory for the attribute MimeTyperPipelineServlet.ATTRIBUTE_NAME. |
| PipelineableServletImpl | A PipelineableServletImpl is an implementation of a PipelineableServlet that also implements Servlet. |
| ServletPathDispatcherPipelineServlet | This will redirect a request to one of several servlets based on the servlet path of the request. |
| ServletPathPipelineServlet | This pipeline servlet will split a pathInfo into a servletPath/pathInfo combination. |
| SessionPipelineServlet | This adds an attribute factory for the HttpSessionRequest object that contains session information about this request's session. |
| URLArgumentPipelineServlet | A URL may carry arguments in the pathInfo part of the URI, which are separate from the query arguments. |
|
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Software inspections allow finding and removing defects close to their point of injection and are considered a cheap and effective way to detect and remove defects. A lot of research work has focused on understanding the sources of variability and improving software inspections performance. In this paper we studied the impact of inspection review rate in process performance. The study was carried out in an industrial context effort of bridging the gap from CMMI level 3 to level 5. We supported a decision for process change and improvement based on statistical significant information. Study results led us to conclude that review rate is an important factor affecting code inspections performance and that the applicability of statistical methods was useful in modeling and predicting process performance.


Default shortcut keys
(customize your options at chrome://extensions/shortcuts)
- Control + Shift + Space: Navigator Bar
- Control + Shift + A: Lightning App Menu
- Control + Shift + 1: Tasks
- Control + Shift + 2: Reports
- [NEW FEATURE] Add tasks on the fly by typing "! [your task]"
- [NEW FEATURE] Search all records with "? [search terms]"
- Go to your Home page with "Home"
- Object List views with "List [Object]"
- Create a new record with "New [Object]"
- Go directly a Setup page by typing it's name
- Access Object customizations with "[Object] [Section]" (e.g. "Contact Fields")
- Switch between Lightning and Classic with "Toggle Lightning"
- Login as another user with "Login as [partial match of username]"
If you have any issues with stuff missing, type "refresh metadata" in the navigator, hit enter, then refresh the page and try again.
Submit any issues on github :)


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Ltd., a corporation under Swiss Law. The term “you” refers to the user visiting
the Website and/or contributing content on this Website.
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In the previous example we ran the same async task on multiple items in series. Each task waited for the previous task to complete, then downloaded an item then extracted its name.
Sometimes we might want to run a limited number of tasks in parallel. In that case we need to use something else.
Callbacks
With callbacks we need yet another utility function - async.mapLimit
async.mapLimit(ids, 3, function(id, callback) {
getFromStorage(id, function (err, res) {
if (err) return callback(err);
callback(null, res.name);
})
}, function(err, results) {
// results is an array of names
});
Promises
With promises we finally need a new helper function - Promise.some
which is
provided to us by bluebird
var queued = [], parallel = 3;
var namePromises = ids.map(function(id) {
// How many items must download before fetching the next?
// The queued, minus those running in parallel, plus one of
// the parallel slots.
var mustComplete = Math.max(0, queued.length - parallel + 1);
// when enough items are complete, queue another request for an item
var download = Promise.some(queued, mustComplete)
.then(function() { return getItem(id); });
queued.push(download);
return download.then(function(item) {
// after that new download completes, get the item's name.
return item.name;
});
});
Promise.all(namePromises).then(function(names) {
// use all names here.
});
Even though the code is a bit longer, its quite clear: When enough of the queued items are complete, queue another download, wait for it to complete then extract the item's name.


boost::process::basic_pipeline — Pipelined implementation of the Launcher concept.
template<typename Command_Line> class basic_pipeline { public: // public member functions basic_pipeline< Command_Line > & add(const Command_Line &, bool = false) ; children start(void) ; };
The basic_pipeline template implements the Launcher concept allowing for the construction of process pipelines. This class is operating system independent.
basic_pipeline
public member functionsbasic_pipeline< Command_Line > & add(const Command_Line & cl, bool merge_out_err = false) ;
Prepares a new process that will be part of the pipeline. This new process is described by its command line and a flag that indicates whether its stderr should be merged on its stdout.
children start(void ) ;
Spawns all processes that form the pipeline, connecting them appropriately to share the data flows.
Blocking remarks: This function may block if the device holding the executable of one of the command lines blocks when loading the image. This might happen if, e.g., the binary is being loaded from a network share.
| Returns: | An object that holds the status of all the processes related to the pipeline. |
| Copyright © 2006 Julio M. Merino Vidal |


TweetSets
Twitter datasets for research and archiving.
- Create your own Twitter dataset from existing datasets.
- Conforms with Twitter policies.
- Members of the George Washington University community should use the GWU VPN for full access.
{% if prev_datasets %}
{% endif %}
{{ tweet_count | nf }} tweets available.
TweetSets is intended for academic purposes only. Users are encouraged to follow all relevant Twitter policies and
consider ethics and privacy in research and publication with Twitter data.
Steps for creating a dataset:
- Select source dataset(s). Source datasets have been previously collected.
- Limit the dataset by querying on keywords, hashtags, and other parameters. Repeat until you've created
the desired dataset.
- Create the dataset. This freezes the dataset parameters.
- Generate and download dataset exports such as the list of tweet ids, mention nodes/edges (e.g., for Gephi).
See Help for step-by-step instructions.
Important information:
{% if not is_local_mode %}
- You cannot view or download the text of tweets.
{% endif %}
- Keep track of the URLs of your datasets. A record of your datasets are stored in a cookie in your browser, but
no record of your datasets is stored on the server.
- Generating dataset exports may take a while.
- Datasets may change if new tweets are added to the source datasets.
About sharing Twitter datasets for research and archiving:
Twitter policies do not allow publicly posting or sharing the text of tweets retrieved from the Twitter API.
However, they do allow the sharing of tweet ids. Given a tweet id, the text of tweets can be retrieved from
the Twitter API using a tool such as DocNow's Hydrator. Note that if a tweet has been deleted
or protected, it cannot be retrieved from the Twitter API, so some tweets from the dataset may be lost.


Packtpub.com
Spring Boot Deeplearning4J integration example
Upload your input as CSV for customer rentention prediction
Upload
Result


Displaying 9000 stars and 4 planetary systems.
Note that this representaiton is not to scale.
© 2019, Michael Pascale


interface WritableLazyCache<T> : LazyCache<T>
(source)
Writable LazyCache. The name says it all.
Since
0.1.0
save |
caches the new instance. abstract fun save(content: T): Unit |
toCache |
converts this WritableLazyCache to WritableCache. abstract suspend fun toCache(): WritableCache<T> |
toWeakCache |
converts this WritableLazyCache to WritableWeakCache. abstract suspend fun toWeakCache(): WritableWeakCache<T> |
getOrCancel |
loads the content or throws CancellationException if failed suspend fun <T> LazyCache<T>.getOrCancel(accessCount: Float = 0.0f): T |
getOrNull |
loads the content or returns null if failed suspend fun <T> LazyCache<T>.getOrNull(accessCount: Float = 0.0f): T? |


| Vocabulary | Furigana | English | Type |
|---|---|---|---|
| 食べる | たべる | ||
| 見る | みる | to see | verb |
| 教える | おしえる | to teach | verb |
| 会う | あう | to meet | verb |
| 待つ | まつ | to wait | verb |
| 読む | よむ | to read | verb |
| 飲む | のむ | to drink | verb |
| 遊ぶ | あそぶ | to play | verb |
| 行く | いく | to go | verb |
| 聞く | きく | to hear/listen | verb |
| 書く | かく | to write | verb |
| 泳ぐ | およぐ | to swim | verb |
| 話す | はなす | to speak | verb |
| ラーメン | らあめん | ramen | noun |
| 映画 | えいが | movie | noun |
| 手紙 | てがみ | letter | noun |
| する | する | to do | Irregular verb |
| やる | やる | to do | Irregular verb |
| 勉強 | べんきょう | study | noun/verb |
| 掃除 | そうじ | cleaning | noun/verb |
| 洗濯 | せんたく | laundry | noun/verb |


- Georgia Tech Cycling Club: Secretary
- Welland Racing Junior and U23 Development Team: U23 Rider
- SECCC: Male Student Representative
- Honey Stinger: Brand Ambassador
- Track: Cat 3
- Road: Cat 2
- SECCC Conference A's Road Omnium, 2020: 7/52
- Swamp Classic Collegiate A's RR, 2020: 5/21
- SECCC Conference A's Road Omnium, 2019: 28/62
- SECCC Conference Championship A's RR, 2019: 6/36
- Coll. Track Nationals Points Race, 2018: 22/32


Hello, I'm Abstract Sequential
When I first took the quiz a while back, and it gave me the results, I felt like I had finally unlocked the key to my brain. I finally saw that the way I think, the way I function, it's been studied by some pscyhological geniuses. It was like they really got me. I'm Abstract Sequential, and I'm awesome.
The next time I reopened that box was this week, for this assignment. And all it took was to do a search for "Abstract Sequential" to see how awesome I still am.
- 10 % of the General Population falls into this category.
- You are the leader types.
- You are idea oriented, very analytical and verbal.
- You are easily bored.
- You love to sit in judgment.
- Best Career Choices: Business, Law, Architecture
The coolest part of that? Only 10% of the population fall into this category. I knew I was special! (also see why gen y yuppies are unhappy).
The eeriest part? "Career Choices: Business, Law, Architecture." Having just left one of those (the latter) and seriously considered one of the other ones (second one) but choosing none of those three, I decided, ok, Gregorc knew me but he didn't really know me.
Then I did something that was totally Abstract Sequential of me: I looked at the other categories, and I wanted to relate to those too! Some of it did apply to me, but I was an AS loyalist.
It wasn't until I had my fiance, whom I was convinced was a Concrete Sequential or Concrete Random, take the quiz. He got AS! Wait, but only by like 15 points, and he had a three-way tie with the bottom three choices. The worse part? He was definitely NOT indecisive at all. This is when I realized... this quiz is a fake. And to say it in a non-drama-queen fashion: I am starting to wonder about the validity of this so-called scientific study.
Note to self: Continue with a grain of salt and a hint of lime. Mm, these chips are good!
I'm a sucker for quizzes
I probably should've started with that. I love taking quizzes that tell me more about ME. I love horoscopes even though I know it's fake. Aand... this was as scientific as it can get.
Some more fun facts:
- Your ordering ability is sequential and two dimensional; tree-like
- Your thinking process is intellectual and logical, analytical and rational
- Your validation process is personal intellectual formulae; conventionally accredited experts
- Your environmental preference would be one that is mentally stimulating, ordered and quiet, non-authoritative
- In your general approach to life you are a realist, serious, determined, logical and intellectual
To sum up: I think what it's telling me is that I think like a tree (or if you prefer, the DOM model), that I like to check the facts and base my decisions on concrete knowledge and rational facts. In the end, I am super indecisive becuase I demand to know all the consequences of every option.
Undecisiveness: Spot on! That I think like a tree? I'm not sure how this will help me. Perhaps I'll write notes in outline form? I guess that's how I store information. This reminds me of a book we read in the first year of architecture: Chambers of a Memory Palace -- The way a building is planned can definitely be very tree-like. But one can argue, it can also be an open plan.
How does this change my approach in Phase 0?
I think the biggest struggle for me so far in Phase 0 is time management. But I think before you can find a solution to something, you need to better define the problem. I think the problem I have is that I need a lot of resources to help back up any new information I receive. And my VARK learning style tells me that I will need to learn something by reading, writing, listening, seeing/watching, and doing the activity itself.
If all of that sounds exhausting, that's because it is. And according to Gregorc, AS thinkers that get rushed because of a limited time, get stuck. We freeze.
I know that for a fact, from personal experience. So I have been trying to manage my time by looking at the big picture first - getting an overview all the challenges before diving in. Then setting a game plan for the week. Each morning, I wake up, and I make a game plan for the day. What is my main goal for the day? Create a to do list.
Then the hard part is to focus. To do that, I need to get organized. The work flow I have is organized by desktop spaces on my mac:
- Audio - this is music I put on to keep me focused.
- Curriculum - the DBC repo with all the exercises. This sometimes becomes a stack of tabs as I do research on a topic. (See, research!)
- Sublime Text - The text editor for actually Doing the work.
- Terminal - To save everything to git when done.
- Browser - I will refresh to see changes when I'm working a project or this website.
I guess I work from macro to micro in this way. Very tree-like. Gregorc +1.
A Short Story : Everyone is not special
Growing up, I was almost always compared to others. My life was always about making my parents and teachers proud by being the best.
I still remember my mom telling me once "if other people can do it, you can do it." I took that to mean "work harder and you can do it too."
I began to think "of course I can do something if I worked as hard as those people, but I just don't feel like it" or "my situation is different, and it puts me at a huge disadvantage." I started to make excuses so that I wouldn't have to meet my full potential. I became lazy because it was cool, and I'd rather be cool.
Fast forward many, many years... I like to think I am now wiser. Not smarter no. That's not what I mean.
I think that now, I am aware that my previous mindset was a very closed mindset. I felt that I was smart just because I knew I could think. I knew that if given the resources, I could accomplish almost anything. The problem was, I thought, I didn't have those resources.
Now, I am a different person. This change started happening as soon as I decided that fateful night, that I was sick of feeling sorry for the decisions I had made, and that it was time to take the bull by the horns. My future is my making, and thinking about it or complaining is not going to change anything.
Hello, I'm not just an Abstract Sequential
The biggest challenge now: How to accept failure to mean success. I now "know" that to fail is how we learn and grow. Especially true in programming, but probably also true in most of life.
I still feel reluctant to take the next step sometimes, especially if it means I might fail. The Abstract Sequential profile says I am indecisive and hesitate when I don't have enough facts. But I don't want to prescribe that as a permanant characteristic of mine. I know that in order to learn and grow in such a intense and short amount of time, I'm going to have to buckle up and take the leap. Maybe if I do that enough, that will be concrete evidence that it works! Then it won't be so scary anymore. Then I can fail in order to succeed.
Besides... It's not so scary...
I'm a Brown Bat. I can fly! And we fly in the dark. ;)


Following save files are available:
My thanks for the following stuff:
-
Lazy Bear Games for making such a great game.
-
tinyBuild for publishing it.
-
Graveyard Keeper WIKI for having such great resources which I could use to check my code and
already extracting the game icons + naming them, so I didn't have to try to extract the sprite atlas
information (at least for earlier versions of the editor).
-
Eel for making it easy for me to create a HTML GUI in a python script.
-
JQuery and
Materialize for making it easier to create the HTML content.
Notes:
-
If you have a save file which could help (for example a more up to date body of a perfect worker or the entire tech tree with all DLCs),
feel free to upload your save to an issue. I will take the data from that save then to improve
the several features of this save editor.
-
Every loaded save file is kept in memory, meaning you can expect almost up to 200 MB per save file which you load.
-
No sprites / images used, were created by me, they are from
Lazy Bear Games
-
Additionally the localization file is extracted from
Lazy Bear Games
-
You are able change all the values in the editor, but especially values like items can't be perfectly recreated and there
might be bugs with them if you add new items (Because I can't reproduce the specific item types which
may contain specific values, the script uses the last item in your inventory, duplicates it and replace
it's item ID, amount and durability). Additionally like the Wiki mentions in the article about save
file editing, it might be that some of your changes don't work because you didn't fulfill previous
requirements.
-
If you change the energy or your hp to a value above 100, your maximal hp / energy is set to the same value, if you want
to reset it again, just set your hp or energy again to 100.
-
If you find bugs or have feature requests (like an idea to add a functionality) feel free to report them on the
GitHub Page.
Miscellaneous:


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| Total | 393 | 57 | 0 | 85% |
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| SeedApp\settings.py | 25 | 0 | 0 | 100% |
| SeedApp\urls.py | 3 | 0 | 0 | 100% |
| manage.py | 12 | 2 | 0 | 83% |
| register\admin.py | 1 | 0 | 0 | 100% |
| register\forms.py | 10 | 0 | 0 | 100% |
| register\migrations\__init__.py | 0 | 0 | 0 | 100% |
| register\models.py | 1 | 0 | 0 | 100% |
| register\urls.py | 4 | 0 | 0 | 100% |
| register\views.py | 14 | 7 | 0 | 50% |
| reports\admin.py | 1 | 0 | 0 | 100% |
| reports\migrations\__init__.py | 0 | 0 | 0 | 100% |
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| reports\urls.py | 3 | 0 | 0 | 100% |
| reports\views.py | 20 | 15 | 0 | 25% |
| trials\__init__.py | 0 | 0 | 0 | 100% |
| trials\admin.py | 1 | 0 | 0 | 100% |
| trials\forms.py | 44 | 4 | 0 | 91% |
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| trials\models.py | 52 | 3 | 0 | 94% |
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| trials\tests\test_urls.py | 22 | 0 | 0 | 100% |
| trials\tests\test_views.py | 44 | 0 | 0 | 100% |
| trials\urls.py | 3 | 0 | 0 | 100% |
| trials\views.py | 66 | 26 | 0 | 61% |
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{% extends "base.html" %} {% load static %} {% block title %} People {% endblock %} {% block body_class %}about{% endblock %} {% block header %} {{ block.super }} {% endblock %} {% block content %}
Who was who in Nazi Germany
This section outlines the organizations and leading individuals in four overlapping spheres of Nazi Germany: the Reich ministries (the government); the Nazi party; the SS; and the Wehrmacht (the armed forces). Adolf Hitler was the head of all four of these sectors, and they became increasingly interconnected over time. Reich ministries were often matched by parallel party organizations, with the same person in charge of both. The SS began as a party organization but took over governmental functions (police and security) and created a military branch, the Waffen SS. The Wehrmacht was relatively self-contained as a Reich organization, but it held jurisdiction over the Waffen SS in military operations. These different institutions frequently competed for jurisdictional power and resources; for example, in addition to the Reich economic ministries, the SS took over economic enterprises in order to control resources and generate income. Much of the information in this section is drawn from the encyclopedias compiled by L. L. Snyder and C. Zentner, and from Anatomy of the SS State, editied by E. Wiskemann.
For details on the organization and leaders of the SS Economic and Administrative Main Office (WVHA, 1942-45), see the introduction to NMT Case 4, USA v. Oswald Pohl et al. For more information on the medical officials, see the introduction to NMT Case 1, USA v. Karl Brandt et al. (the Medical Case).
(Subordinated non-party organizations are enclosed in curly braces.)
(The organization of the armed forces (Wehrmacht) changed from 1934 to 1941, with Hitler assuming more control; this list covers 1939-45.)
(This includes all defendants in IMT and NMT 1-4.)


This part of the documentation gives worked examples of using Plover.
Table of Contents
Matrix Multiplications
A quick application of using Plover is to create bespoke functions which operate on matrices. A very basic example is a matrix times a vector:
mul_mat_vec {m,n} (A :: double[m,n]) (v :: double[n]) :: double[m] := A * v;
This function takes two implicit arguments (m and n) which give the dimensions of the \(m\times n\) matrix A and an \(n\)-dimensional vector v. Putting this into a file called mats.plv, we compile it with Plover using
$ plover mats.plv
which creates two files, mats.c and mats.h. The resulting C definition is
void mul_mat_vec (const s32 m, const s32 n, const double * A, const double * v, double * result) { for (s32 idx = 0; idx < m; idx++) { double sum = 0; for (s32 idx2 = 0; idx2 < n; idx2++) { sum += A[n * idx + idx2] * v[idx2]; } result[idx] = sum; } }
with a corresponding definition in the header file. The rules for creating the C function type from a Plover type are simple: the parameters for the C function appear in the same order as they appear in the Plover definition, and if the result is a vector type (i.e., non-scalar), it is appended as the last argument. The caller is responsible for allocating the memory of the returned vector.
Another example is computing a quadratic form \(v^TAv\):
mat_quad_form {n} (A :: double[n,n]) (v :: double[n]) :: double := (v^T * A * v)[0];
Multiplication is left-associative, so the inner expression is the same as (v^T * A) * v. The rule for taking the transpose of an \(n\)-dimensional vector is that it becomes a \(1\times n\)-dimensional matrix, and so the product with the \(n\times n\) matrix A, giving a \(1\times n\) matrix. This is then multiplied by the vector, and a matrix times a vector results in a vector, in this case \(1\)-dimensional. This is indexed to get the sole entry. Alternatively, the body of the function could equivalently be (A * v) * v, without indexing, where the second * is a dot product between vectors.
Compiling this, the resulting C is
double mat_quad_form (const s32 n, const double * A, const double * v) { double sum = 0; for (s32 idx = 0; idx < n; idx++) { double sum2 = 0; for (s32 idx2 = 0; idx2 < n; idx2++) { sum2 += v[idx2] * A[n * idx2 + idx]; } sum += sum2 * v[idx]; } return sum; }
Notice that the Plover compiler does not generate the intermediate matrix product. This is because the later multiplication informs the first that it will only be evaluating each element of the first at most once, so the elements may be computed on demand.
Suppose that the vector were instead a matrix. That is,
mat_quad_prod {n,m} (A :: double[n,n]) (B :: double[n,m]) :: double[m,m] := B^T * A * B;
Plover generates the following code:
void mat_quad_prod (const s32 n, const s32 m, const double * A, const double * B, double * result) { double tmp [m * n]; for (s32 idx = 0; idx < m; idx++) { for (s32 idx2 = 0; idx2 < n; idx2++) { double sum = 0; for (s32 idx3 = 0; idx3 < n; idx3++) { sum += B[m * idx3 + idx] * A[n * idx3 + idx2]; } tmp[n * idx + idx2] = sum; } } for (s32 idx = 0; idx < m; idx++) { for (s32 idx2 = 0; idx2 < m; idx2++) { double sum = 0; for (s32 idx3 = 0; idx3 < n; idx3++) { sum += tmp[n * idx + idx3] * B[m * idx3 + idx2]; } result[m * idx + idx2] = sum; } } }
Since the second product will use the elements of the first product multiple times, the compiler memoizes (or spills) the result onto the stack. If n is large relative to m this might be unacceptable behavior on an embedded system, and we may be willing to trade stack space for computation time. Plover gives the nomemo operator to control whether a request to memoize an intermediate value will be acknowledged. This does not change the result of a computation, but it might change whether the computation is computable on a given system. Concretely:
mat_quad_prod_safe {n,m} (A :: double[n,n]) (B :: double[n,m]) :: double[m,m] := nomemo (B^T * A) * B;
gives
void mat_quad_safe (const s32 n, const s32 m, const double * A, const double * B, double * result) { for (s32 idx = 0; idx < m; idx++) { for (s32 idx2 = 0; idx2 < m; idx2++) { double sum = 0; for (s32 idx3 = 0; idx3 < n; idx3++) { double sum2 = 0; for (s32 idx4 = 0; idx4 < n; idx4++) { sum2 += B[m * idx4 + idx] * A[n * idx4 + idx3]; } sum += sum2 * B[m * idx3 + idx2]; } result[m * idx + idx2] = sum; } } }
Computing Correlation Vectors
The cross-correlation of two (real-valued) signals \(f\) and \(g\) is defined to be
For periodic signals with period \(N\), the bounds of the sum can be restricted to having length \(N\), and, if we model \(f\) and \(g\) as being vectors of length \(N\), this amounts to a dot product of \(f\) by a cyclic shift of \(g\).
In Plover, the right-hand side can be written as f * (g[i:] # g[:i]). The * operator computes the dot product when given vector operands, and the # operator concatenates two vectors. Like in Python or Matlab, vectors can be sliced by indexing them with a range of values. The lower- or upper- bounds may be omitted on the range operator :, and they default to the bounds of the sliced vector. Here, i: and :i are equivalent to the vectors vec(i,i+1,...,N-1) and vec(0,1,...,i-1), respectively.
With this, we can make a function which computes all of the cross-correlations of two vectors of length N:
cross_cor {N} (f :: double[N]) (g :: double[N]) :: double[N] := vec i in N -> f * (g[i:] # g[:i]);
The declaration for the function gives N as an implicit parameter, f and g as vectors of length N with double-precision floating-point numbers as values, and a return type which is also a vector of length N with doubles as values.
The body of the function is given after the := definition operator. The body creates a new vector of length N with i iterating over that range, computing the cross-correlation for each offset i.
Note
The cross-correlation function can also be written as:
cross_cor {N} (f :: double[N]) (g :: double[N]) :: double[N] := vec i in N -> f * g[(i:i+N) % N];
since arithmetic operators coerce their operands into vectors of compatible size and then vectorize the operation elementwise.
Auto-correlation is the cross-correlation of a vector with itself. Given the above definition, we may write
auto_cor {N} (f :: double[N]) :: double[N] := cross_cor f f;
Since the first argument to cross_cor is implicit, Plover will try to determine a valid argument to place there, which it will determine using f and the return type for auto_cor. If we wish to be explicit, we may instead write cross_cor {N} f f to pass the implicit argument N.
Putting these into a file called cor.plv, we may compile them to C by entering the directory and running
$ plover cor.plv
This creates a files called cor.h and cor.c, with cor.c containing the following definitions:
void cross_cor (const s32 N, const double * f, const double * g, double * result) { for (s32 idx = 0; idx < N; idx++) { s32 i = idx; double sum = 0; for (s32 idx2 = 0; idx2 < N; idx2++) { double tmp; if (idx2 < -i + N) { tmp = g[i + idx2]; } else { tmp = g[idx2 - (-i + N)]; } sum += f[idx2] * tmp; } result[idx] = sum; } } void auto_cor (const s32 N, const double * f, double * result) { cross_cor(N, f, f, result); }
The auto-correlation of a random vector approximates a delta function as the length of the vector goes to infinity. We will make a test which demonstrates this.
import prelude; main () :: int := ( v := normalize (vec i in 1000 -> rand_normal()); print_vec $ auto_cor v; return 0; );
This imports the standard Plover library, and defines a main function. The function creates a vector of 1000 random doubles, normally distributed, and normalizes the vector so that its Euclidean length is 1. After this, the auto-correlation vector is printed. In Plover, the dollar sign acts like an open parenthesis which extends to the end of an expression.
Compiling and running this file with:
$ plover cor.plv $ gcc cor.c prelude.c -o cor $ ./cor
shows that the 0th element is 1.0 (since this entry represents the dot product of the vector with itself), and the rest are relatively small. We can measure this with the following code:
vec_mean {n} (v :: double[n]) :: double := sum v / n; main () :: int := ( w := vec N in 2:2000 -> ( v := normalize $ vec i in N -> rand_normal(); av := auto_corr v; vec_mean $ av[1:] .* av[1:] ); print_vec w; return 0; );
The .* operator is the point-wise product ("Hadamard" product) and effectively squares each element in the array. So w is a vector of the mean of the squares of the non-zero-offset auto-correlations for various sizes of random vectors. Plotting this vector in a graphing application, one can see the errors decrease with the inverse of the size of the vectors.
Programming a QR Least Squares Solver
We're going to step through the implementation of a textbook algorithm: a QR least squares solver for overdetermined systems. That is, given \(A\in \R^{m\times n}\) and \(b\in \R^m\) with \(m \geq n\), we want to find a vector \(x\in\R^n\) such that the squared error \(\norm{Ax-b}\) is minimized. We give a brief explanation of the math first, following [MC2013].
Suppose we can compute an orthogonal matrix \(Q\in\R^{m\times m}\) such that
where \(R_1\in \R^{n\times n}\) is upper triangular. Then we can write
and we note that
If \(A\) is full rank, we can solve the system \(R_1x=c\) exactly, and the remaining error is \(d\).
The essential steps are:
- Apply orthogonal transformations to \(A\) and \(b\) until \(A\)'s first \(n\) rows are upper triangular.
- Backsolve the triangular system.
- Return the solution and the error.
We will attempt to mindlessly follow the implementation given in [MC2013].
QR Factorization
First we apply a sequence of Givens rotations to introduce zeroes into our matrix \(A\). A Givens rotation is a pair \(c=\cos(\theta)\) and \(s=\sin(\theta)\) such that
Pseudocode to calculate such a pair follows:
givens (a, b) returns [\(c, s\)]if \(b = 0\)\(c = 1; s = 0\)else if \(\abs{b} > \abs{a}\)\(\tau = -a/b; s = 1/\sqrt{1+\tau^2}; c = s\tau\)else\(\tau = -b/a; c = 1/\sqrt{1+\tau^2}; s = c\tau\)
The plover version is below. We will step through it line by line.
static givens (a :: double) (b :: double) :: double[2,2] := ( c :: double; s :: double; if b == 0 then ( c <- 1; s <- 0 ) else if fabs b > fabs a then ( tau := -a/b; s <- 1/sqrt(1+tau^2); c <- s*tau ) else ( tau := -b/a; c <- 1/sqrt(1+tau^2); s <- c*tau; ); mat( c, s ; -s, c ); );
static givens (a :: double) (b :: double) :: double[2,2] := ( ... );
Plover is statically typed, and all functions require a type signature, although in many cases types can be inferred (see the language reference section on type holes). This function signature indicates that the function givens is static (declared static in the generated C file, with no prototype in the header file), takes two arguments a and b of type double, and returns a 2-by-2 matrix of doubles. Function declarations and variable initializations use the := operator and must be terminated by a semicolon. Blocks are enclosed by parentheses, and the expressions within a block are separated by semicolons.
c :: double; s :: double;
A new local variable may either be declared with a type (var :: type;) or with an initial value (var :: optional_type := value;), in which case the type is optional and can be inferred. In this case, c and s are set by each branch of the if expression below, so we declare them with only their types. Declaring a variable does not initialize it.
if b == 0 then ( c <- 1; s <- 0 )
The condition of an if expression does not need enclosing parentheses. The condition must be followed by the keyword then and an expression. In this case, we have a block which updates the values of c and s. Updating variables must be done with <- . An if should be terminated by a semicolon when used as a statement.
Note
In Plover, everything is an expression. Sometimes it is convenient to call an expression appearing in a block a statement.
else if fabs b > fabs a then ( tau := -a/b; s <- 1/sqrt(1+tau^2); c <- s*tau ) else ( tau := -b/a; c <- 1/sqrt(1+tau^2); s <- c*tau );
if statements are optionally followed by an else clause and another expression or block. Here, the fabs function is called on b and on a, and these values are compared to choose the branch. The local tau is initialized, and c and s are updated as shown in the pseudocode above. The fabs and sqrt functions are included in Plover's prelude module.
mat( c, s ; -s, c );
The final expression in a block is treated as the value for that block. Here, the function returns a 2-by-2 matrix literal containing the values we've just computed. The output code below shows how this is translated into C.
Let's take a look at the C code generated so far:
// excerpt, qr.c static void givens (const double a, const double b, double * result); void givens (const double a, const double b, double * result) { double c; double s; if (b == 0) { c = 1; s = 0; } else { if (fabs(a) < fabs(b)) { double tau; tau = -(a / b); s = 1 / sqrt(1 + tau * tau); c = s * tau; } else { double tau; tau = -(b / a); c = 1 / sqrt(1 + tau * tau); s = c * tau; } } result[2 * 0] = c; result[2 * 0 + 1] = s; result[2 * 1] = -s; result[2 * 1 + 1] = c; }
We can see that Plover passes the result matrix as an extra argument, and stores the dense matrix in a flat array in row-major order. Arguments are by default passed const, but modifications are allowed with the out and inout parameter options; see the language reference. The rest of the code matches the input closely.
Now we will use this routine to factor our matrix. Starting at the lower left corner, we go up and then right, introducing zeros with one Givens rotation at a time. Pseudocode from [MC2013]:
qr_factor (m, n, A)for \(j = 1:n\)for \(i=m:-1:j+1\)\(R\) = givens(\(A(i-1,j),A(i,j)\))\(A(i-1:i,j:n) = R^T A(i-1:i, j:n)\)
We pick a rotation that introduces a zero at location \((i,j)\) and apply it to rows i and i-1 of \(A\), updating them in-place. Note that the second loop counts down from \(m\) to \(j+1\), and the arrays are one-indexed.
The Plover code:
qr_update {m, n} (inout b :: double[m]) (inout A :: double[m, n]) :: Void := ( for j in 1 .. n, i in m .. j+1 : -1 -> ( -- Givens rotation rot := givens A[i-2,j-1] A[i-1,j-1]; -- Rotate one column at a time for k in j..n -> ( v := A[i-2 .. i-1, k-1]; A[i-2 .. i-1, k-1] <- rot^T * v; ); -- Rotate b vector v := b[i-2 .. i-1]; b[i-2 .. i-1] <- rot^T * v; ); );
qr_update {m, n} (inout b :: double[m]) (inout A :: double[m, n])
We use inout variables, mutating b and A as we go along. This way, we never store the Q matrix and simply return the upper triangular rotation of A.
{m, n} denotes that qr_update takes two implicit int parameters. The function qr_update can be called simply with the (explicit) b and A arguments, and m and n will be inferred. If the dimensions of the explicit arguments don't match, Plover will report a type error. See the language reference for more details.
for j in 1 .. n, i in m .. j+1 : -1 -> ( -- Givens rotation rot := givens A[i-2,j-1] A[i-1,j-1]; ... );
Plover uses zero-indexing, but we keep the same loop bounds to avoid too much confusion in the translation. The expression a..b denotes the sequence of integers from a to b, inclusive, whereas a:b excludes the upper bound. The expression (a..b : -1) means: count from a to b with step size -1.
-- Rotate one column at a time for k in j..n -> ( v := A[i-2 .. i-1, k-1]; A[i-2 .. i-1, k-1] <- rot^T * v; );
We rotate one column at a time so that we can use a two element temporary vector v to avoid overwiting elements of A while they are still needed by the product computation. Currently, Plover will not warn you and will not automatically make a copy of the right hand side if one is needed to properly compute an update statment a <- b.
These lines also demonstrate the submatrix indexing facilities of Plover. We often use the notation v[a:b] to take the subvector of v at indices from a to b-1. These expressions can be used as l-values and as r-values, as above. They can also be passed as out arguments to a function, and the proper subvector will be updated. We can take subranges of objects with multiple indices as well: taking a row of a matrix is accomplished with M[i] or M[i, :], and taking a column is simply M[:, i]. A colon without upper or lower bounds is filled in appropriately.
Backsolving
Now we have a square upper triangular constraint matrix and a target vector; we can solve this one row at a time, starting with the last.
For an upper-triangular system \(Rx=b\), the value of \(x_i\) is given by
The algorithm will overwrite b[i] with this value, since it is not needed by later steps.
-- Back substitution for upper triangular U static backsolve {n} (U :: double[n,n]) (inout b :: double[n]) :: s8 := ( for i in 0:n -> if U[i,i] == 0 then return -1; b[n-1] <- b[n-1]/U[n-1, n-1]; for i in n-1 .. 1 : -1 -> ( b[i-1] <- (b[i-1] - U[i-1, i : n] * b[i : n]) / U[i-1, i-1]; ); return 0; );
The * inside the for loop is shorthand for a dot product. We add a check to see if any of the diagonal entries are 0 and return an error code as a signed byte.
Complete Solver
Finally, the completed algorithm:
-- Assumes m >= n -- See "Matrix Computations" 4th ed. Golub and Van Loan qr_solve {m, n} (inout A :: double[m, n]) (inout b :: double[m]) (out solution :: double[n]) (out residual :: double) :: s8 := ( qr_update (inout b) (inout A); -- A is now upper triangular; backsolve it into b code := backsolve A[0:n, 0:n] (inout b[0:n]); -- Solution stored in first n elements solution <- b[0:n]; -- Norm of error = norm of last m-n elements residual <- norm b[n:m]; return code; );
Note the way implicit arguments are resolved.
The generated C:
s8 qr_solve (const s32 m, const s32 n, double * A, double * b, double * solution, double * const residual) { qr_update(m, n, b, A); s8 code; double arg [n * n]; double arg2 [n]; for (s32 idx = 0; idx < n; idx++) { for (s32 idx2 = 0; idx2 < n; idx2++) { arg[n * idx + idx2] = A[n * idx + idx2]; } } for (s32 idx = 0; idx < n; idx++) { arg2[idx] = b[idx]; } code = backsolve(n, arg, arg2); for (s32 idx = 0; idx < n; idx++) { b[idx] = arg2[idx]; } for (s32 idx = 0; idx < n; idx++) { solution[idx] = b[idx]; } double arg3 [m - n]; for (s32 idx = 0; idx < m - n; idx++) { arg3[idx] = b[n + idx]; } *residual = norm(m - n, arg3); return code; }
The copying around inout b[0:n] is a bit inefficient in this case, but similar logic is needed for more complex matrix storage types.
// qr.h #ifndef PLOVER_GENERATED_qr #define PLOVER_GENERATED_qr #include "prelude.h" s8 qr_solve (const s32 m, const s32 n, double * A, double * b, double * solution, double * const residual); void qr_update (const s32 m, const s32 n, double * b, double * A); s32 main (void); #endif /* PLOVER_GENERATED_qr */


| variable = any valid variable name |
|
The first command of the FOR ... NEXT loop, this command is used to assign a variable to a range of numbers in sequence and execute a set of code that many times. Using the STEP command allows you to skip a certain value between each loop of the code. Note that the STEP amount cannot be a variable.
This is frequently used when a specific pattern of numbers is needed to perform an evolution (moving something from point A to point B, adding a value to a score incrementally, etc). This allows you to assign a variable with the current value of the loop. See the example for more. Note: Unlike many BASIC languages, the NEXT command does NOT use the FOR command's variable as an identifier. If you have nested FOR ... NEXT commands, the language will automatically match the NEXT with the nearest FOR command. See also: To, Step, Each, Next, Exit, While, Repeat. |
|
; Print the values 1 through 10
For t = 1 To 10 Print t Next ; Print the values 1,3,5,7,9 For t = 1 To 10 Step 2 Print t Next |


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Sprint 2
Dev Academy
What I've learned so far
- Set up a blog
- Basic HTML page with and tags (html, head, title,etc.)
- Adding paragraphs, headings, links, images, lists, tables
- Diving content on a page using divs and spans
- Apply classes, id's
- Navigate the DOM
- Understand and use box design
- Understand and create responsive design
- Understand and use semantic structuring
- Link an external stylesheet to an html document
- Position elements using CSS
- Modify element style (size, color, etc) using CSS
- Compare and use classes and ids to manipulate elements


PRAYERS VOTIVE
HOLY TRINITY
The Mass of the solemnity of Trinity Sunday is celebrated.
THE MERCY OF GOD
JESUS CHRIST THE ETERNAL HIGH PRIEST
HOLY CROSS
The Mass of the feast of the Triumph of the Cross, September 14, is celebrated.
HOLY EUCHARIST
HOLY NAME OF JESUS
PRECIOUS BLOOD
SACRED HEART
HOLY SPIRIT A B C
MARY
From the Common of Blessed Virgin Mary
Our Lady, Mother of the Church
Holy Name of Mary
Our Lady Queen of Apostles
HOLY ANGELS
ST. JOHN THE BAPTIST
ST. JOSEPH
APOSTLES
All the Holy Apostles
Saints Peter & Paul, Apostles (June 29 Vigil Mass)
Saint Peter, Apostle
Saint Paul, Apostle
One Holy Apostle
ALL SAINTS


ACE Event
Tagger
The EventTagger command runs the Ace event
tagger in diagnostic mode, with entities and values taken from an input
APF file. It reads in the information from the input APF (in docDir), ignoring any events in the
input file, generates a new set of events using the Jet event tagger,
and writes a new APF file (inn outDir)
containing these new events. It is
invoked by
xjet
AceJet.EventTagger propertyFile fileList
docDir modelDir outDir [glarfDir glarfFileExtension]
where
- propertyFile
- Jet properties file
- fileList
- a list of the documents to be processed, one document doc
per line
(for document doc, the text file is assumed to be doc.sgm and the APF file doc.apf.xml)
- docDir
- the path of the directory containing both
the text and APF files for the
documents
- modelDir
- the path of the directory which contains the pattern and model
files for the event tagger
- outDir
- the path of the directory which will contain all the generated
APF files, which will have the file extension .apf
- glarfDir
- if present, the path of the directory containing the GLARF
triples for the documents
- glarfFileExtension
- (required if glarfDir
is present) the file extension of each GLARF triples file
Properties
- Ace.writeEventConfidence
- if non-null, every event mention in the APF file includes a
feature "p" whose value is some estimate of the probability that this
is a reportable ACE event
- Ace.EventModels.eventProbabilityThreshold
- for events generated by the maxent classifier, the minimum
probability required for an event to be reportable (events with at
least one argument matched by a pattern are always reported).
Default is 0.80. If > 1, only events generated by a pattern
matching at least one argument are included.
- Ace.EventModels.argumentProbabilityThreshold
- for event arguments added by the maxent argument classifier, the
minimum value of the product of the event probability and the argument
probability for an argument to be reportable. Default is 0.35.


Prisma is an interactive website that allows the user to choose films to watch based on color selection. Here are some of the features:
Our solution starts with the notion of a prism. When a prism inputs light it outputs a wavelength of colors, not only specific hues, but also including the saturation and lightness of colors.
When a user chooses a color, it will output film posters associated with the color choice. Our back-end will output a hexadecimal color spectrum of the color choice, imitating the functionality of a prism.
We analyzed many different theories of color vision, ranging from Trichromatic Theory, Isaac Newton's Color Wheel Theory, and Opponent-Process Theory. We incorporated all three theories in Prisma, however the Opponent-Process Theory is precedent among all color theories, in such that the theory suggests that an experience will be much more powerful when opposites are included. For instance, imagine a skydiving experience, the feeling of fear at the beginning with the emotion of relief at the end. We utilize this theory by implementing color and the opposite: the absence of color.The result is Prisma: an interactive film experience that makes the user feel alive through color selection.
The user selects a color of choice and the outcome is a list of film posters uploaded by other Prisma accounts.
Once a film is selected we then let the user have the option to either: check out ratings for the film, watch the film, or subscribe to the user's account.
We utilize the Opponent-Process Theory by implementing grayscale profile accounts, providing an experience that's aesthetically pleasing and functionally interactive.


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{% include 'paragalaQuestions/questionnaire/one.html' %}
{% include 'paragalaQuestions/questionnaire/two.html' %}
{% include 'paragalaQuestions/questionnaire/three.html' %}
{% include 'paragalaQuestions/questionnaire/four.html' %}


@(vehicle : VehicleDetail, vehicles : List[VehicleDetail], makes : List[Make]) @doctype.render @header.render("Editing " + vehicle.getVehicleTitle)


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/fibre.20of.20a.20map.html ---
I wish we have preimage of a point, whatever its use is
Why not use f ⁻¹' {x}
?
because they don't defintionally expand well
it doesn't expand any worse than {x}
itself does. Just make a simp lemma (but actually the existing simp lemmas should compose to get what you want)
that isn't definitional expansion
I mean {x}
doesn't expand well
so?
so I don't like it
nao gosto isso
;P
It is conceivable that we can change the definition there but it doesn't affect whether to have a definition of fiber
ok, let's just change the definition of singleton then
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


[gecode-users] Add constraints to Flatzinc sharing parameters between them
Guido Tack
tack at gecode.org
Thu Sep 27 00:44:34 CEST 2012
Hi,
that's not what I meant, but it's even better (my idea was to just look at the incoming AST::Array and check if you've seen the same array before, but with your idea you save that check).
Cheers,
Guido
On 26/09/2012, at 5:41 PM, Andrea Pretto <a.pretto at miriade.it> wrote:
> Thanks.
> Yes, I'm worried about performance (memory consumption). The arrays are very large, and there are many constraint invocation.
>
> For the "global hash table" approach, I thought something like this:
>
> % flatzinc
> predicate my_declare_param(int: param_id, array[int] of int: params1, array[int] of int: params2);
>
> predicate my_con(var int: x, var int: y, var int: param_id);
>
> ...
>
> my_declare_param(3, [1,2,3,4,..], [1,2,3,4..])
> my_con(a, b, 3)
>
> % end flatzinc
>
> I add a predicate my_declare_param for registering params, wich "register" (in a global map) the parameters giving them and ID wich is PARAM_ID as argument.
> Then in the constraint (instead of arrays) I give the ID (PARAM_ID above) to specify which parameters declared before I want to use.
>
> Is that did you mean ??
>
> Thanks in advance.
> Cheers.
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