Classes
The following classes are available globally.
-
The
Application
class is responsible for running your application.The
Application
class has at least oneTopLevel
view that is displayed (and is the one pointed to bytop
) and will send events to this instance. You should add your views to this top instance. A minimal initialization sequence looks like this:Application.prepare () let win = Window() win.fill () Application.top.addSubview (win) Application.run()
The call to the
prepare
method initializes the default console driver, which will be set depending on your platform and heuristics (currently it is limited to the curses version).Then you need to add one or more views to your application, in the example above, a new
Window
is created, we flag it to take over all the available space by calling thefill
method, and then we add this to thetop
element. Once this happens, we callApplication.run
which is a method that will never return.# TopLevels At any given point there is only a single
Toplevel
instance active, this means that all mouse and keyboard events are routed here. There might be multiple visibleToplevel
at any given point, for example the main application is aToplevel
, and a popup dialog box is another form of a toplevel. When the popup is executing, all keyboard and mouse input are routed to the dialog box, but the main Toplevel will still be updated visually and might also be updated continously.To execute a new nested toplevel, one that either obscures a portion of the screen, or the whole screen, you call the
run
method with the new instance. To pop the toplevel from the stack, you call theApplication.requestStop
method which will queue the toplevel for termination and will make the previous toplevel the active one.# Main Loop Execution Calling the
run
method inApplication
will start the mainloop, which is implemented using the Dispatch framework. This means that this method will never return, but also that all the operations that you have come to expect from using the Dispatch API (from Grand Central Dispatch) will work as expected.The TermKit framework is not multi-thread safe, so any operations that you execute on the background should queue operations that access properties, or call methods in any of the TermKit methods using the global queue, so that the operation is executed in the context of the TermKit queue.
See moreDeclaration
Swift
public class Application
-
Clipboard is a simple interface to share data across views
See moreDeclaration
Swift
public class Clipboard
-
Describes a dimension which can be an absolute value, a percentage, fill, or a reference to a dimension of another view
To create a
Dim
object, you can choose from one of the following options:Dim(n)
constructor creates an absolute dimension of size nDim.percent(n)
creates a dimension that reprensents the n% of the containerDim.fill(margin)
creates a dimension that fills to the end of the container dimension, leaving the specified margin on the sideDim.width(view)
andDim.heigh(view)
are used to reference the computed width or height of another view.
Dim objects can be combined using the addition and substraction operators to create various rules, like for example:
See morepassword.width = Dim.width(login) - Dim(4)
Declaration
Swift
public class Dim
-
Describes a position which can be an absolute value, a percentage, centered, or relative to the ending dimension. Integer values are implicitly convertible to an absolute Pos. These objects are created using the static methods
percent
,anchorEnd
andcenter
. ThePos
objects can be combined with the addition and subtraction operators.Use the
Pos
objects on thex
ory
properties of a view to control the position.These can be used to set the absolute position, when merely assigning an integer value (via the implicit integer to
Pos
conversion), and they can be combined to produce more useful layouts, like:pos.center - 3
, which would shift the postion of the view 3 characters to the left after centering for example.It is possible to reference coordinates of another view by using the methods
left(of: view)
,right(of: view)
,bottom(of: View)
,top(of: View)
. Thex(of: View)
andy(of: View)
are aliases toleft(of: View)
andtop(of: View)
respectively.Examples:
See morelabel = Label ("Hello world") label.x = Pos.at (10) // at column 10 label.y = Pos.percent (50) // At 50% label.x = Pos.center () // center position // Center relative to another label label.x = Pos.center () - Dim.width(anotherLabel)
Declaration
Swift
public class Pos
-
Toplevel views can be modally executed.
Toplevels can be modally executing views, and they return control to the caller when the
running
property is set to false, or by callingApplication.requestStop
There will be a toplevel created for you on the first time use and can be accessed from the property
See moreApplication.top
but new toplevels can be created and ran on top of it. To run, create the toplevel and then invoke `Application.run with the new toplevel.Declaration
Swift
open class Toplevel : View
-
View is the base class for all views on the screen and represents a visible element that can render itself and contains zero or more nested views.
The View defines the base functionality for user interface elements in TermKit. Views can contain one or more subviews, can respond to user input and render themselves on the screen.
Views can either be created by setting the X, Y, Width and Height properties on the view. Coordinates are relative to the container they are being added to.
The
x
, andy
properties are of typePos
, and you can use either absolute positions, percentages or anchor pointsThe
width
andheight
properties are of typeDim
and can use absolute position, percentages and anchors. These are useful as they will take care of repositioning your views if your view’s frames are resized or if the terminal size changesSubviews can be added to a View by calling the
addSubview
method. The container of a view is the Superview.Developers can call the
setNeedsDisplay
method on the view to flag a region or the entire view as requiring to be redrawn.Views have a ColorScheme property that defines the default colors that subviews should use for rendering. This ensures that the views fit in the context where they are being used, and allows for themes to be plugged in. For example, the default colors for windows and toplevels uses a blue background, while it uses a white background for dialog boxes and a red background for errors.
If a ColorScheme is not set on a view, the result of the ColorScheme is the value of the SuperView and the value might only be valid once a view has been added to a SuperView, so your subclasses should not rely on ColorScheme being set at construction time.
Using ColorSchemes has the advantage that your application will work both in color as well as black and white displays.
Views that are focusable should implement the
positionCursor
to make sure that the cursor is placed in a location that makes sense. Unix terminals do not have a way of hiding the cursor, so it can be distracting to have the cursor left at the last focused view. So views should make sure that they place the cursor in a visually sensible place.The metnod
See morelayoutSubviews
is invoked when the size or layout of a view has changed. The default processing system will keep the size and dimensions for views that use the LayoutKind.Absolute, and will recompute the frames for the vies that use LayoutKind.Computed.Declaration
Swift
open class View : Responder, Hashable, CustomDebugStringConvertible
-
The dialog box is a window that by default is centered and contains one or more buttons, it defaults to the
Colors.dialog
color scheme and has a 1 cell padding around the edges.To run the dialog modally, create the
See moreDialog
, and pass this toApplication.run
which will execute the dialog until it terminates via the [ESC] key, or when one of the viewsDeclaration
Swift
public class Dialog : Window
-
Message box displays a modal message to the user, with a title, a message and a series of options that the user can choose from.
There are a couple of options:
query
is used to show a message with buttonserror
is similar to query, but uses the error color scheme for the dialogsinfo
merely takes a title and message, it is informational only, so the buttonok
is added
The following example pops up a Message Box with 50 columns, and 7 lines, with the specified title and text, plus two buttons. The value -1 is returned when the user cancels the dialog by pressing the ESC key.
See moreDeclaration
Swift
public class MessageBox
-
Color scheme definitions, cover the four colors that are typically needed by views in a console applications to display text and show the focused state. They include the regular attribute (normal), the attribute used when the view is focused (focus) and the attributes use to highlight the hotkeys in a view both in normal mode and focused mode.
See moreDeclaration
Swift
public class ColorScheme
-
The default ColorSchemes for the application, there are settngs for four different common scenarios:
See morebase
is the set of colors that is used for most of your application UI.dialog
is the color scheme that is used for popup dialogs, usually they offer some contrast over the default colors;menu
is used for the top-level menus, anderror
is intended to have a set of attributes suitable to display error messages.Declaration
Swift
public class Colors
-
Base class for implementing text drivers.
Currently there is a Curses implementation, but an implementation that does not rely on Curses and that purely uses Terminfo would be desirable, as well as a Windows console one
See moreDeclaration
Swift
public class ConsoleDriver
-
Button is a view that provides an item that invokes a callback when activated.
Provides a button that can be clicked, or pressed with the enter key or space key. It also responds to hotkeys (the first uppercase letter in the button becomes the hotkey) and triggers the execution of a callback method.
If the button is configured as the default
IsDefault
the button will respond to the return key is no other view processes it, and turns this into a clicked event.To connect a clicked handler, set the
clicked
property here to your callback
See morevar d = Dialog("Hello") var ok = Button ("Ok") ok.clicked = { d.running = false } d.addButton (ok) Application.run (d)
Declaration
Swift
public class Button : View
-
A menu bar item contains other menu items.
See moreDeclaration
Swift
public class MenuBarItem
-
Progress bar can indicate progress of an activity visually.
The progressbar can operate in two modes, percentage mode, or activity mode. The progress bar starts in percentage mode and setting the
See morefraction
property will reflect on the UI the progress made so far. Activity mode is used when the application has no way of knowing how much time is left, and is started when you invoke the Pulse() method. You should call thepulse
method repeatedly as your application makes progress.Declaration
Swift
public class ProgressBar : View
-
ScrollBarViews are views that display a 1-character scrollbar, either horizontal or vertical
The scrollbar is drawn to be a representation of the Size, assuming that the scroll position is set at
position
If the region to display the scrollbar is larger than three characters, arrow indicators are drawn.
See moreDeclaration
Swift
public class ScrollBarView : View


--- layout: page title: Documents date: 2010-09-08 02:38:13.000000000 -05:00 type: page parent_id: '0' published: true password: '' status: publish categories: [] tags: [] meta: _edit_last: '16309375' _wp_page_template: default geo_public: '0' author: login: acfquizbowl email<EMAIL_ADDRESS>display_name: acfquizbowl first_name: '' last_name: '' permalink: "/documents/" ---
ACF Constitution
Amended from the original by Eric Kwartler
University of Texas - Austin
Suggested Formats for ACF Tournaments
Official ACF Eligibility Rules
For historical purposes only:
Former ACF Rules (PDF)
Matt Weiner
Virginia Commonwealth University
How to Write Questions
Jerry Vinokurov
Brown University
Ten Tips on Writing Questions
Subash Maddipoti
University of Chicago
Guide to Writing Regular-Difficulty Questions
Andrew Hart
University of Minnesota


Frequently Asked Questions
How do I get to the Unplugged retreat?
Hey, take a look at the earthlings. Goodbye! Jaguar shark! So tell me - does it really exist? Do you have any idea how long it takes those cups to decompose. They're using our own satellites against us. And the clock is ticking. Jaguar shark! So tell me - does it really exist?
What kind of team is right for the Unplugged retreat?
You really think you can fly that thing? Eventually, you do plan to have dinosaurs on your dinosaur tour, right? Do you have any idea how long it takes those cups to decompose. You really think you can fly that thing? God help us, we're in the hands of engineers.
What size teams can you accommodate?
Hey, take a look at the earthlings. Goodbye! Just my luck, no ice. Must go faster. Life finds a way. This thing comes fully loaded. AM/FM radio, reclining bucket seats, and... power windows. Yeah, but John, if The Pirates of the Caribbean breaks down, the pirates don’t eat the tourists.
Is there really no wifi available?
Must go faster... go, go, go, go, go! Just my luck, no ice.  You're a very talented young man, with your own clever thoughts and ideas. Do you need a manager?


Viewing a Link Log Report
How to view details of links which are logged using the Link Control.
- Go to the Edit page associated with the logged link. E.g. Click the Edit button beside the item which may be an announcement, a link, etc.
- At Log Start Date the first day of the current week is displayed. To choose a different start date click the Calendar link and select a new date. See "Working with the Calendar"
- At Log End Date the last day of the current week is displayed. To choose a different end date, click the Calendar link and select a new date.
- Click the Display link.


Junior Software Developer
Telecommunication Engineer, Social Entrepreneur Tech community development guru.
Recently relocated in Belgium and joined Startup Factory-Brussels as project manager assistant helping the team in organising Startup Jobfair events
and managing Brussels Pitch Night events.
Working with Gaza Sky Geeks/Mercy Coprs changed my career and expertise and the concept of being an employee.
Everyday is a new story, new experience and self-learning. Started as a volunteer and become an officer/manager within less than one year is a big change in my profession.
My biggest weird life experience and learned a lot from it was being a social entrepreneur and taking care of +2000 refugees during summer 2014 Gaza war for more that 50 days
and encouraging my friends to initiate a grassroots group to help and support the refugees who have no shelters or space.
- Startup Huddle Gaza chapter ambassador
- Code For Hope Hackathon Oct. 2018 organizer
- ِGeeXelerator Hackathon April 2018 -Angel Hack 2018 hackathons series- General Operation and Team Manager.
- Behance Portfolio Review Gaza 2017 "First Behance community activity in Palestine/Gaza" - October 2017, Main Organizer
- Digitizing Gaza Hackathon May 2017 -Angel Hack 2017 hackathons series- General Operation and Team Manager.
- Lady Problems Hackathon Gaza Dec 2016 -Angel Hack 2016 hackathons series- Steering Committee Team member-Logistics Manager.
- Angel Hackathon Gaza Hackathon May 2016 -Angel Hack 2016 hackathons series- Steering Committee Team member-Logistics manager
- Ouishare Palestine Steering Committee Team member- Gaza team leader and social media coordinator
- Startup Weekend Gaza 2014 and 2015 - Steering Committee Team Member - Logistics manager
Specialties: entrepreneurship, startups, logistics, operations, events, management, advertising, analysis, arabic, ccna, commercial, communication skills, computer skills, coordination, education, engineering, english, languages, microsoft office, planning, presentation skills, programming, project management, telecommunications, visual basic,
I grown up as a sport guy as I used to practice many sports such as football, backetball, handball and swimming.
Recently I started to like hiking specially when I reached to Belgium as during the covid-19 lockdown and less opportunity to travel around, I decided to visit as much city and open green areas in Belgium as I can, and hiking became a big part of my life and I discovered that I like mountains and nature challenges.
I myself is a social person as I like to be around people and get introduced to new cultures and people habbits, I discovered with this my
love to travel so I can meet and see what is going around and live the different experiences


Menu
Dgoahn
Events
Tickets
Music
Photos
Contact
Events
Tickets
Purchase tickets
Music
Photo Gallery
Contact
Your Email
Twitter
Github
Google+


Anil Kapoor Greets Hollywood Star Couple Catherine Zeta-Jones And Michael Douglas At An Event In New Delhi
09 Dec 2019, 08:06 by Lubna Khan
A few days ago, Hollywood actress Catherine Zeta-Jones’ dance with Anil Kapoor on Om Shanti Om took the Internet by storm. Now, pictures from the event showing Anil Kapoor with the Hollywood star couple Catherine and Michael Douglas have surfaced, check it out!
Anil Kapoor greets Hollywood star couple Catherine Zeta-Jones and Michael Douglas as they attend the Hindustan Times Leadership Summit in New Delhi. (Image Source:- Raindrop)
Catherine Zeta-Jones looks dazzling in a white outfit, while Anil Kapoor and Michael Douglas look sharp in their suits (Image Source:- Raindrop)
Anil Kapoor can be seen engaged in a conversation with Catherine Zeta-Jones and Michael Douglas (Image Source:- Raindrop)
At the Summit, Anil Kapoor and Catherine Zeta-Jones were seen dancing to Shah Rukh Khan’s Om Shanti Om (Image Source:-instagram/anilskapoor)
The video of Anil Kapoor and Catherine’s dance took the Internet by storm, and the Ocean’s Twelve actress was also seen crooning the song (Image Source:-instagram/anilskapoor)


A visual guide to where every angle between the hour and minute hand occurs on an analog clock! Believe it or not, any given angle only ever forms a valid time twice! The only exceptions to this rule are zero degrees and 180 degrees, which each only occur once.


Technical issues with service
We are unable to process your request at this time. This was not due to any mistake on your part, but because the service encountered technical issues.
Please wait a few minutes and then try again
If you continue to experience this error please contact us.


Docs
Demos
PayPal Checkout.js
A JavaScript library for integrating with PayPal checkout
View on GitHub
Features


I am a PhD. student at the University of Rennes 1. I am working at Orange Labs in the IDEA/PIA team and INRIA/IRISA in the Diverse Team. My Thesis supervisors are Olivier Barais and Gerson Sunye.
I am currently working on Trust Models for Real-time Communication Systems. The goal of this survey is to get feedback from two categories of users that may share interest in this trust model, industrial security expert and end-users. Gathering your feedback will help improves my trust model. But it may also reveal similarities or difference in the way these two categories of users perceives security issues in conversational systems.
If you have any questions or remarks that would not fit in this survey, feel free to contact me directly.
Kevin Corre


Please wait...
Server-Status
input
TIMED EMAIL & WARNING EMAIL
Timed Duration:
-- Please Select -- Default: Every Half Hour
Off
Every Half Hour
Every Hour
Every Half Day (00:00 12:00)
Every Day (00:00)
Temperature Warning:
-- Please Select -- Default: Off
Off
> 70°C
> 75°C
> 80°C
SUBMIT


{% if user_join %}
You have already joined this event.
{% else %} Join Event {% endif %}{{data.EVENT_NAME}}
{{data.LOCATION}}
{{data.EVENT_START|date}} - {{data.EVENT_END|date}}
{{Joined}} people joined this event.
Organizer :
- {{Organizer}}
{{data.DESCRIPTION}}


To get in here you need to find every easter egg card hinted at in
this cruel page.
4/13/18 Hall of Fame: (Closed)
sniperZee
aspiringWatcher
catatonicKeeper
asinineGodsend
Natry
goldfish
flamingAvian
lunacria
duckking
ambiguouslyTerminated
Cat,fireRachet
yearnfulNode
6/12/18 Hall of Fame For Scene Viewing :
To get in here you need to see all the scenes you collected for the first Hall of Fame (but not necessarily their sub scenes).
sniperZee
Natry
Goose
Credits:
Ideation and Primary Coding: jadedResearcher (that's me).
Tools Coding: paradoxLands
Aesthetic: Wongle.
Scene Creation: P much all the ideasWranglers from:
SBURBSim


Opening Keynote
Yehuda Katz & Tom Dale
- Set the stage for the expectations and feel of the community - inclusive and welcoming
- The goal of Ember is to be powerful enough to handle the tasks that are the same, yet
flexible enough to allow you to handle the tasks that are unique.
- Flows
- 10x productivity boost
Contributing to Ember: The Inside Scoop
Robert Jackson
- Rules for commit messages
- [DOC] - Bad error messages & documentation are bugs!
- [BUGFIX] - Needs a test showing regression
- [FEATURE] - Feature flags
- Security protocol
Ember Data and the Way Forward
Igor Terzic
- Ember data is made up of many small, easy to moderate problems that alone are easy to solve, but together are hard.
- Trying to get the primitives right
- Simplifying API
- Developers know what data they want to save
- Had its own promise library
- All relationships are async
- Single source of truth
No More 'grunt watch': Build Modern Workflows with Broccoli
Jo Liss
- Grunt files get complicated quickly for real-world apps.
- Broccoli only knows trees of files, reads and writes directories.
- Constant time compilation
- Component of Ember CLI
Modeling the App Store and iTunes with Ember Data
(Fnd.io)
Jeremy Mack
HTMLBars - The Next-Generation of Templating in Ember.js
Erik Bryn & Kris Selden
- More natural syntax for element attribute binding
{{bind-attr class="foo"}}
class="{{foo}}"
- No more metamorph!
- At least 30% faster
- Builds a DOM rather than a large string
- Erik said on Discuss recently that it would be available for the 1.8 release around 6/17/14.
The {{x-foo}} in You (Components)
Ryan Florence
Ember CLI
Stef Penner
- Similar to Ember App Kit but hopefully easier to upgrade
- Brings generators, testing, server, modules, package management, Broccoli
- Think Rails CLI
Ember is for the Children
DeVaris Brown
- Inspiring talk, best crowd response of the entire conference
- Potential opportunity for the meetup
The Unofficial, Official Ember Testing Guide
Eric Berry
- QUnit is the anointed one, but that will change over time to be more agnostic.
- New test helpers as of 1.5
- triggerEvent(), currentRouteName(), currentPath(), currentURL()
- Ember-QUnit: A library that allows writing unit tests without loading the entire container.
- Works with modules and globals
- Routes, Controllers, Components
Controlling Route Traversal with Flows
Nathan Hammond
Closing Keynote
Dave Herman
- Evolution vs Revolution
- Revolution: Mozilla releasing source code
- Evolution: JavaScript ES6, ASM.js
Advanced Ember: Persistence
(Preconference Training)
Yehuda Katz & Tom Dale
- Hand-rolled Ember Data
- Resolver
- ES6 Module Transpiler
- ES6 Module Syntax -> AMD, CommonJS, Browser Globals
- Exercises from training


You haven't selected any dictionaries. Click settings and select the languages you want to search in.


EASE publishing web service has URL for each production environment.
If you are not sure which production environment to use, check with Apperian Customer Support at<EMAIL_ADDRESS>| Environment | URL |
|---|---|
| North America | https://easesvc.apperian.com/ease.interface.php |
| Europe | https://easesvc.apperian.eu/ease.interface.php |
Here variable expansion $VAR is allowed. Standard jenkins namespace is used thus it could be environment variables or build parameters.


Bases: object
Return a version of this context with admin flag set.
Bases: object
A connection, returned by rpc.create_connection().
This class represents a connection to the message bus used for rpc. An instance of this class should never be created by users of the rpc API. Use rpc.create_connection() instead.
Close the connection.
This method must be called when the connection will no longer be used. It will ensure that any resources associated with the connection, such as a network connection, and cleaned up.
Spawn a thread to handle incoming messages.
Spawn a thread that will be responsible for handling all incoming messages for consumers that were set up on this connection.
Message dispatching inside of this is expected to be implemented in a non-blocking manner. An example implementation would be having this thread pull messages in for all of the consumers, but utilize a thread pool for dispatching the messages to the proxy objects.
Create a consumer on this connection.
A consumer is associated with a message queue on the backend message bus. The consumer will read messages from the queue, unpack them, and dispatch them to the proxy object. The contents of the message pulled off of the queue will determine which method gets called on the proxy object.
| Parameters: |
|
|---|
Create a worker on this connection.
A worker is like a regular consumer of messages directed to a topic, except that it is part of a set of such consumers (the “pool”) which may run in parallel. Every pool of workers will receive a given message, but only one worker in the pool will be asked to process it. Load is distributed across the members of the pool in round-robin fashion.
| Parameters: |
|
|---|
Bases: nova.openstack.common.rpc.common.RPCException
Bases: exceptions.Exception
Bases: nova.openstack.common.rpc.common.RPCException
Signifies that a remote class has raised an exception.
Contains a string representation of the type of the original exception, the value of the original exception, and the traceback. These are sent to the parent as a joined string so printing the exception contains all of the relevant info.
Bases: nova.openstack.common.rpc.common.RPCException
Signifies that a timeout has occurred.
This exception is raised if the rpc_response_timeout is reached while waiting for a response from the remote side.
Bases: nova.openstack.common.rpc.common.RPCException
Prepares exception data to be sent over rpc.
Failure_info should be a sys.exc_info() tuple.


HTML is
reasonably straightforward
HTML is built using
tags
. HTML uses
many different tags
for coding. We can connect to
to speak with trainers
.
Pictures of
.
Learning to code is not that bad.
We have to learn to complete projects.


New prerelease version of Shoes 4 is out on Rubygems! `gem install shoes --pre` and get your GUI going! 👞👟👠✨
12/13/2015, 11:45:20 PM
Favs: 4
Retweets: 3
link--- layout: tweet ---
New prerelease version of Shoes 4 is out on Rubygems! `gem install shoes --pre` and get your GUI going! 👞👟👠✨
12/13/2015, 11:45:20 PM
Favs: 4
Retweets: 3
link


@font-face
allows authors to specify online fonts to display text on their web pages. By allowing authors to provide their own fonts, @font-face
eliminates the need to depend on the limited number of fonts users have installed on their computers.
@font-face { font-family: <a-remote-font-name>; src: <source> [,<source>]*; [font-weight: <weight>]; [font-style: <style>]; }
local("Font Name")
.You can specify a font on the user's local computer by name using the local()
syntax. If that font isn't found, other sources will be tried until one is found.
This example simply specifies a downloadable font to use, applying it to the entire body of the document.
<html> <head> <title>Web Font Sample</title> <style type="text/css" media="screen, print"> @font-face { font-family: "Bitstream Vera Serif Bold"; src: url("http://developer.mozilla.org/@api/deki/files/2934/=VeraSeBd.ttf"); } body { font-family: "Bitstream Vera Serif Bold", serif } </style> </head> <body> This is Bitstream Vera Serif Bold. </body> </html>
In this example, the user's local copy of "Helvetica Neue Bold" is used; if the user doesn't have that font installed (two different names are tried), then the downloadable font named "MgOpenModernaBold.ttf" is used instead:
@font-face { font-family: MyHelvetica; src: local("Helvetica Neue Bold"), local("HelveticaNeue-Bold"), url(MgOpenModernaBold.ttf); font-weight: bold; }
| Feature | Firefox (Gecko) | Chrome | Internet Explorer | Opera | Safari |
|---|---|---|---|---|---|
| Basic support | 3.5 (1.9.1) | 4.0 | 4.0 | 10.0 | 3.1 |
| WOFF | 3.5 (1.9.1) | 6.0 | 9.0 | Nightly build | Nightly build |
| SVG Font |
-- Unimplemented (see bug 119490 ) | yes | -- | yes | yes |
| Feature | Android | Firefox Mobile (Gecko) | IE Mobile | Opera Mini | Opera Mobile | Safari Mobile |
|---|---|---|---|---|---|---|
| Basic support | (Supported) | 1.0 (1.9.1) | ? | -- | 10.0 | (Supported) |
| WOFF | -- | 5.0 (5.0) | ? | -- | 11.0 | -- |
| SVG fonts | -- |
-- Unimplemented (see bug 119490 ) | ? | -- | 10.0 | (Supported) |
font
,
font-family
,
font-size
,
font-size-adjust
,
font-stretch
,
font-style
,
font-variant
,
font-weight
,
@font-face


{{ controlActive ? "You're controlling this page (click to stop)" : "Remote-Control this page!" }}
{{ controlSite }}
Session ID: {{ session.session }}
Connection Info
Loading Session...


public interface JCoRepository
JCoCustomRepository
| Modifier and Type | Method and Description |
|---|---|
void |
clear()
Clear allows to empty both the function template cache as well as the record metadata cache completely.
|
String[] |
getCachedClassMetaDataNames()
Returns the names of the cached classes as a string array.
|
String[] |
getCachedFunctionTemplateNames()
Returns the names of the cached functions as a string array.
|
String[] |
getCachedRecordMetaDataNames()
Returns the names of the cached structures as a string array.
|
JCoClassMetaData |
getClassMetaData(String className)
Returns the metadata for the passed class/interface name.
|
JCoFunction |
getFunction(String functionName)
Returns a JCoFunction with initial parameters for the passed function name.
|
JCoListMetaData |
getFunctionInterface(String functionName)
Returns the metadata for the passed function.
|
JCoFunctionTemplate |
getFunctionTemplate(String functionName)
Returns the template for the passed function.
|
JCoRepositoryMonitor |
getMonitor()
Returns a newly created or available monitor instance for the repository.
|
String |
getName()
Returns the repository name.
|
JCoRecordMetaData |
getRecordMetaData(String recordName)
Returns the metadata for the passed structure/table name.
|
JCoRequest |
getRequest(String functionName)
Returns a JCoRequest with initial parameters for the passed function name.
|
JCoRecordMetaData |
getStructureDefinition(String structureName)
Returns the metadata for the passed structure/table name.
|
boolean |
isUnicode()
Returns whether the repository contains both Unicode and non-Unicode metadata.
|
void |
load(Reader reader)
Loads the repository from the given reader.
|
void |
removeClassMetaDataFromCache(String className)
Removes a class metadata instance from the local cache.
|
void |
removeFunctionTemplateFromCache(String functionName)
Removes a function template from the local cache.
|
void |
removeRecordMetaDataFromCache(String recordName)
Removes a record metadata from the local cache.
|
void |
save(Writer writer)
Saves this repository using the given writer.
|
String getName()
JCoFunctionTemplate getFunctionTemplate(String functionName) throws JCoException
functionName
- the name of the function for which the template
is being returnedJCoException
- if another error occurred during the retrieval
of the function interface with the group field set appropriatelyJCoFunction getFunction(String functionName) throws JCoException
functionName
- the name of the function for which the JCoFunction
is being returned.JCoException
- if another error occurred during the retrieval
of the function interface with the group field set appropriatelyJCoRequest getRequest(String functionName) throws JCoException
functionName
- the name of the function for which the request
is being returned.JCoException
- if another error occurred during the retrieval
of the function interface with the group field set appropriatelyJCoListMetaData getFunctionInterface(String functionName) throws JCoException
functionName
- the name of the function for which the metadata
is being returnedJCoException
- if an error occurred during the retrieval
of the function interfaceJCoRecordMetaData getRecordMetaData(String recordName) throws JCoException
recordName
- the name of the structure or table for which the metadata
is being returnedJCoException
- if an error occurred during the retrieval
of the data structure definitionJCoRecordMetaData getStructureDefinition(String structureName) throws JCoException
structureName
- the name of the structure or table for which the metadata
is being returnedJCoException
- if an error occurred during the retrieval
of the data structure definitionJCoClassMetaData getClassMetaData(String className) throws JCoException
className
- the name of the class or interface for which the metadata
is being returnedJCoException
- if an error occurred during the retrieval
of the class metadata definitionvoid removeFunctionTemplateFromCache(String functionName)
functionName
- the name of the function to be removed from the cachevoid removeRecordMetaDataFromCache(String recordName)
recordName
- the name of the structure to be removed from the cachevoid removeClassMetaDataFromCache(String className)
className
- the name of the class to be removed from the cacheString[] getCachedFunctionTemplateNames()
String[] getCachedRecordMetaDataNames()
String[] getCachedClassMetaDataNames()
boolean isUnicode()
void clear()
JCoRepositoryMonitor getMonitor()
void load(Reader reader) throws IOException
reader
- the reader to be used for loading this repositoryIOException
- if an I/O error occursJCoRuntimeException
- with key JCO_ERROR_REPOSITORY_SERIALIZATION if the data read
is syntactically or semantically incorrectvoid save(Writer writer) throws IOException
writer
- the writer used to save this repositoryIOException
- if an I/O error occursCopyright © 2019 SAP. All Rights Reserved.


Send a file to Xiangru
Greetings! This is Xiangru's personal file sharing service. By submitting the following form, you can easily share a file with Xiangru. It is platform independent and has no particular file size limitations.
SEND!


--- layout: post title: '''Dragon'' unveils flat-fee text service' date: 2006-04-04 00:00:00 categories: business interfaces-&-interaction mobile ---
'Dragon' unveils flat-fee text service: "Targeted at 16-25 year olds, Hotxt offers punters the chance to send as many texts as they like for just £1 a week. The catch is that this inclusive price is subject to network data charges and texts to people not on the Hotxt network cost more."
This is by no means the only one of these services out there now. The value-driven pricing of SMS compared to per-megabyte pricing of data clearly creates an opportunity for these services; the big question in my mind is how successfully can these kinds of businesses tug users away from SMS, under the noses of the operators?


This test verifies that reading a floating-point opacity from CSS attributes gets back a properly-formatted float. Improperly handling locales that cause decimals to be written as commas might break it.


Copyright © CloseRaces 2016
All Candidates Are in "Toss-Up" Races According to 270ToWin and BallotPedia
This website was created to provide a quick and easy way to donate directly to Democrats in the closest races of 2016.
I do not profit at all from this site; it is just a one-page, ad-free site making it easy to donate to critical races. Enjoy!
Created by @guillermokrh--just another Bad Hombre trying to make a difference.
Want to contribute to CloseRaces before Election Day? Check out the GitHub Page for ideas on additions and submit a pull request!


WITNESS LIST Higher Education Committee May 17, 2005-8:00A SB 31 For: Ross, Matthew (Self and UT Student Government / Student Body) Against: Forbes, Tom (South Texas College of Law) McDonald, Carol L. (Independent Colleges and Universities of Texas, Inc.) On: Hollis, Lois (Texas Higher Education Coordinating Board) Hudgins, Earl (Texas Ass'n of Student Financial Aid Administrators c/o Tia Clary, Lubbock Christian University, Lu) Paredes, Raymund (Texas Higher Education Coordinating Board) SB 296 For: Conner, Kevin C. (South San Antonio Chamber of Commerce) Oliver, Harold (City of San Antonio) On: Sayavedra-Vice Chanc, Leo (The Texas A&M University System) SB 511 For: Zucker, Dr. Charles (Texas Faculty Association) SB 702 On: McFarland, Keith D. (Texas A&M University - Commerce) SB 1227 For: Hanks, Colby (Self) Ochoa, Omar (UT - Austin Student Body President) Ross, Matt (Self and UT Student Body / Student Government) Stevens, John H (Texas Business and Education Coalition) Against: McDonald, Carol L. (Independent Colleges and Universities of Texas, Inc.) On: Hollis, Lois (Texas Higher Education Coordinating Board) Hudgins, Earl (Texas Assoc. Student Financial Aid Administrators c/o Tia Clary, Lubbock Christian Univ.) Paredes, Raymund (Texas Higher Education Coordinating Board) SB 1528 On: Caldwell, Jane (Texas Higher Education Coordinating Board) Greenberg, General, Jan (Texas Higher Education Coordinating Board)


Julien lifts Louisiana-Lafayette over Youngstown St. 73-61
LAFAYETTE, La. (AP) - Kobe Julien had 23 points as Louisiana-Lafayette topped Youngstown State 73-61 on Friday night.
Jalen Johnson had 16 points and 10 rebounds for Louisiana-Lafayette (3-1). Cedric Russell added 14 points.
After trailing 29-26 at halftime, the Ragin’ Cajuns first took the second-half lead 39-37 on a pair of free throws by Julien at the 12:35 mark. The lead changed hands six times over the next several minutes. A jumper by Julien at 8:40 started an extended 12-2 run that left the Ragin’ Cajuns with a 61-52 lead with 2:44 to go. The Penguins missed six shots and had four turnovers during that stretch.
TOP STORIES
Skeptics chuckle as climate activist Greta Thunberg sets sail for Europe on 'plastic yacht'
Adam Schiff cracking under 'point of order' pressure
'Bunch of dudes' in Hollywood to blame for my 'hyper-sexualized' image, complains Johansson
Darius Quisneberry had 18 points for the Penguins (1-2).
Louisiana-Lafayette plays Wyoming on the road on Thursday. Youngstown State takes on NC Central at home on Tuesday.
For more AP college basketball coverage: https://apnews.com/Collegebasketball and http://twitter.com/AP_Top25
Elements of this story were generated by Automated Insights, http://www.automatedinsights.com/ap, using data from STATS LLC, https://www.stats.com
Sign up for Daily Newsletters
Copyright © 2019 The Washington Times, LLC.
Please read our comment policy before commenting.


--- layout: page title: About header-img: "img/about-bg.png" ---
I'm currently an Administrative Assistant living in Philadelphia with my dopey dog and my grumpy sister. Hopefully when this journey is over, I'll be able to say, "I'm currently a Software Engineer, living in Philadelphia with my dopey dog and my less grumpy sister (though that last part is probably wishful thinking)."


WE ARE COMING SOON. STAY TUNED!
It’s time to grow YOURSELF. Go do something awesome.
We are a bunch of passionate people from diverse backgrounds building a platform that integrates a pool of quality projects given by NGOs, with handpicked and motivated young adults and providing the Samaritans with the liberty to choose a project and city of their choice.
Fostering a mind-set for wider social academic growth
Ability to overcome real life challenges
Coalescing learning with humility
Experiencing cultural diversity
Instigating qualities of integrity, self-awareness, initiative and open-mindedness
Travelling and exploring the world


Hello, I am a developer looking for work in the greater denver or northern Colorado area. I specialize in the backend using node.js with either SQL or noSQL databases. However, I have a competancy of front end libraries such as React, and Jquery. I also have used Django and Python in full stack projects. If you would like to get in contact I have included my contact information at the bottom of this page.
An app built using React/Node. This app looks through a database and returns the best place to drive to based on weather and distance.
View ProjectA freelance website project for FlyWater. A river restoration company located in Fort Collins, Colorado.
View ProjectThis is an app that allows a user to create, view, update, and delete fishing spots in a database.
View ProjectThis is a browser game built with HTML5 Canvas. The object of the game is to catch as many fish as you can in 60 seconds.
View Project


Math Quiz
Test Your Math Skills!
Enter an equation and see if your calculation is correct.
+
-
x
÷
=
Check Answer


| 1 | package fr.sii.ogham.spring.common; | |
| 2 | ||
| 3 | import java.util.List; | |
| 4 | ||
| 5 | public class SendRetryProperties { | |
| 6 | /** | |
| 7 | * Set the maximum number of attempts for sending a message. | |
| 8 | */ | |
| 9 | private Integer maxAttempts; | |
| 10 | /** | |
| 11 | * Set the delay between two attempts for sending a message (in | |
| 12 | * milliseconds). | |
| 13 | */ | |
| 14 | private Long delayBetweenAttempts; | |
| 15 | ||
| 16 | /** | |
| 17 | * Set the initial delay between two executions (in milliseconds). This | |
| 18 | * delay will be doubled for each try. | |
| 19 | */ | |
| 20 | private Long exponentialInitialDelay; | |
| 21 | ||
| 22 | /** | |
| 23 | * Set specific delays (in milliseconds) used for each new execution. If | |
| 24 | * there are more attempts than the configured delays, the last delay is | |
| 25 | * used for remaining attempts. | |
| 26 | */ | |
| 27 | private List<Long> perExecutionDelays; | |
| 28 | ||
| 29 | /** | |
| 30 | * Retry several times with a fixed delay between each try (no matter how | |
| 31 | * long the execution of the action lasts) until the maximum attempts is | |
| 32 | * reached. The next execution date is based on the execution start date of | |
| 33 | * the first execution.
 | |
| 34 | *
 | |
| 35 | * Set the interval between two executions (in milliseconds). | |
| 36 | */ | |
| 37 | private Long executionInterval; | |
| 38 | ||
| 39 | public Integer getMaxAttempts() { | |
| 40 |
1
1. getMaxAttempts : replaced Integer return value with 0 for fr/sii/ogham/spring/common/SendRetryProperties::getMaxAttempts → RUN_ERROR |
return maxAttempts; |
| 41 | } | |
| 42 | ||
| 43 | public void setMaxAttempts(Integer maxAttempts) { | |
| 44 | this.maxAttempts = maxAttempts; | |
| 45 | } | |
| 46 | ||
| 47 | public Long getDelayBetweenAttempts() { | |
| 48 |
1
1. getDelayBetweenAttempts : replaced Long return value with 0L for fr/sii/ogham/spring/common/SendRetryProperties::getDelayBetweenAttempts → RUN_ERROR |
return delayBetweenAttempts; |
| 49 | } | |
| 50 | ||
| 51 | public void setDelayBetweenAttempts(Long delayBetweenAttempts) { | |
| 52 | this.delayBetweenAttempts = delayBetweenAttempts; | |
| 53 | } | |
| 54 | ||
| 55 | public Long getExponentialInitialDelay() { | |
| 56 |
1
1. getExponentialInitialDelay : replaced Long return value with 0L for fr/sii/ogham/spring/common/SendRetryProperties::getExponentialInitialDelay → RUN_ERROR |
return exponentialInitialDelay; |
| 57 | } | |
| 58 | ||
| 59 | public void setExponentialInitialDelay(Long exponentialInitialDelay) { | |
| 60 | this.exponentialInitialDelay = exponentialInitialDelay; | |
| 61 | } | |
| 62 | ||
| 63 | public List<Long> getPerExecutionDelays() { | |
| 64 |
1
1. getPerExecutionDelays : replaced return value with Collections.emptyList for fr/sii/ogham/spring/common/SendRetryProperties::getPerExecutionDelays → RUN_ERROR |
return perExecutionDelays; |
| 65 | } | |
| 66 | ||
| 67 | public void setPerExecutionDelays(List<Long> perExecutionDelays) { | |
| 68 | this.perExecutionDelays = perExecutionDelays; | |
| 69 | } | |
| 70 | ||
| 71 | public Long getExecutionInterval() { | |
| 72 |
1
1. getExecutionInterval : replaced Long return value with 0L for fr/sii/ogham/spring/common/SendRetryProperties::getExecutionInterval → RUN_ERROR |
return executionInterval; |
| 73 | } | |
| 74 | ||
| 75 | public void setExecutionInterval(Long executionInterval) { | |
| 76 | this.executionInterval = executionInterval; | |
| 77 | } | |
| 78 | ||
| 79 | } | |
Mutations | ||
| 40 |
1.1 |
|
| 48 |
1.1 |
|
| 56 |
1.1 |
|
| 64 |
1.1 |
|
| 72 |
1.1 |


$def with (model)
$ status = model['register_response']['status']
$:render.elements.header()
$:render.elements.navbar()
$if status == 'OK':
Success!
You have successfully registered for the StockStream Challenge.
If you are new to StockStream you should read
the tutorial.
Ready to win some cash?
$if status == "ALREADY_REGISTERED":
Error
You have already registered for this competition.
You only need to register once, and only one registration is allowed per user.
$if status == "BAD_CAPTCHA":
Error
You entered the Captcha incorrectly. Please go back and try again.
If you have an adblocker enabled, please disable it temporarily.
$if status == "SERVER_ERROR":
Error
StockStream services were unable to record your registration.
Please try again later.
$:render.elements.footer()


Another Coaching Casualty On The Horizon?
by Masebe QinaIt looks like another coach could be on his way out of a Premier Soccer League club this season.
Following an unimpressive start of three wins from 11 matches thus far during this campaign, the indication is that Cape Umoya United could be making coaching changes for the restart of their GladAfrica Championship campaign after the FIFA international break, with sources indicating that Dominic Isaacs could be relieved of his duties.
Read – Life After Pirates: Munetsi Opens Up
Isaacs was appointed as the Mother City club’s coach in November last year, replacing veteran coach Roger de Sa, who had been in charge of the team.
Umoya were at the bottom of the NFD log with only two wins from 12 games at the time of Isaac’s appointment.
“I think it’s better if you call the club management and ask them,” Isaacs told the Siya crew about the latest developments at Umoya.
Read: Deals Abroad For Shongwe & Makudubela!
“They haven’t officially served me with any papers. So, I can’t confirm anything,” the former Kaizer Chiefs defender added.
Asked if he had been in charge of the team's training sessions this week, Isaacs responded, “I didn’t train the team yesterday (Wednesday) (and) I didn’t train them today. I don’t want to make a comment on whatever. I cannot deny or confirm, I think it’s better if you call the club.”
The Siya crew has learnt from sources close to the club that Maahier Davids, the brother of Orlando Pirates assistant coach Fadlu Davids; as well as veteran coach Johnny Ferreira have emerged as early candidates for Umoya’s coaching position, should Isaacs’ exit from the club be confirmed.


Entity Resolution for Big Data
Entity Resolution is becoming an important discipline in Computer Science and in Big Data especially with the recent release of Google’s Knowledge Graph and the open Freebase API. Therefore it is exceptionally timely that last year at KDD 2013, Dr. Lise Getoor of the University of Maryland and Dr. Ashwin Machanavajjhala of Duke University gave a tutorial on Entity Resolution for Big Data. We were fortunate enough to be invited to attend a run through workshop at the Center for Scientific Computation and Mathematical Modeling at College Park, and wanted to highlight some of the key points for those unable to attend. This post has been reposted from other sources.
What is Entity Resolution?
Entity Resolution is the task of disambiguating manifestations of real world entities in various records or mentions by linking and grouping. For example, there could be different ways of addressing the same person in text, different addresses for businesses, or photos of a particular object. This clearly has many applications, particularly in government and public health data, web search, comparison shoppping, law enforcement, and more.
Additionally, as the volume and velocity of data grows, inference across networks and semantic relationships between entities becomes a greater challenge. Entity Resolution can reduce the complexity by proposing canonicalized references to particular entities and deduplicating and linking entities. As an example, consider the following example of a coauthor network from bibliographic data used for InfoVis 2004.
Deduplication significantly reduced the complexity of the network from an ninth order graph to a much simpler fourth order graph, of significantly less size. Dr. Getoor’s work on D-Dupe, an interactive data deduplication tool, demonstrates how an iterative entity resolution process could work for social networks, an increasingly important and growing data set that seems to trancend traditional stovepipes like Twitter and Facebook. Yet another example is the multiport disambiguation of Traceroute output of routers, something that when incorrectly analyzed led to the commentary of some technologists about the fagility of the Internet- when in fact most Internet backbones are well defined and hardened.
However, there are significant challenges to the ER discipline, least of which is the fact that there is no unified theory and ironically, ER itself goes by many names! Other challenges like language ambiguity, poor data entry, missing values, changing attributes and formatting, as well as abbreviations and truncation mean that ER is a discpline that includes not just databases and information retrieval, but also natural language processing and machine learning.
Scaling to big data just increases the challenge, as the need for heterogeneity and cross-domain resolution become important features. As a result, ER techniques must be parallel and efficient, in order to be used in the context of Big Data techniques like MapReduce and distributed graph databases.
Tasks in Entity Resolution
Generically speaking we can discuss ER as follows: there exists in the real world entities, and in the digital world, records and mentions of those entities. The records and mentions may take many forms, but they all refer to only a single real world entity. We can therefore discuss the ER problem as one involving matching record pairs corresponding to the same entity, and as a graph of related records/mentions to related entities.
Deduplication: the task of clustering the records or mentions that correspond to the same entity. There is an intensional variant of this task: to then compute the cluster representative for each entity. This is commonly what we think of when we consider Entity Resolution.
Record Linkage: a slightly different version of the task is to match records from one deduplicated data store to another. This task is proposed in the context of already normalized data particularly in relational databases. However, in the context of Big Data, a one to one comparison of every record is not optimal.
Reference Matching: in this task, we must match noisy records to clean ones in a deduplicated reference table. Note that is assumed that two identical records are matches, this task is related to the task of entity disambiguation.
Further, when relationships between entites are added, each of the three problem statements must also take into account the relationships between records/mentions. Entity resolution techniques must take into account these relationships as they are significant to disambiguation of entities.
Evaluation of Entity Resolution
A quick note on the evaluation of entity resolution. For pairwise metrics we consider Precision and Recall (e.g. F1 scores), as well as the cardinality of the number of predicted matching pairs. Cluster level metrics take into account purity, completeness, and complexity. This includes cluster-level precision and recall, closest cluster, MUC, Rand Index, etc. However, there has been little work on the correct prediction of links.
The Algorithms of Entity Resolution
This section includes a brief overview of algorithmic basis proposed by Lise and Ashwin to provide a context for the current state of the art of Entity Resolution. In particular, they discussed Data Preparation, Pairwise Matching, Algoritms in Record Linkage, Deduplication, and Canonicalization. They also considered collective entity resolution algorithms, that I will briefly mention. Of course, they went into more depth on this section than I will, but I hope to provide a good overview.
Data Preparation
First the tasks of schema and data normalization are required preparation for any Entity Resolution Algorithms. In this task, schema attributes are matched (e.g. contact number vs phone number), and compound attributes like addresses are normalized. Data normalization involves converting all strings to upper or lower case and removing whitespace. Data cleaning and dictionary lookups are also important.
Initial data prep is a big part of the work; smart normalization can go a long way!
The goal is to construct, for a pair of records, a “comparison vector” of similarity scores of each component attribute. Similarity scores can simply be Boolean (match or non-match) or they can be real values with distance functions. For example, Edit distance on textual attributes can handle typographic errors. Jaccard coefficients and other distance metrics can be used to compare sets. Even phonetic similarity can be used.
Pairwise Matching
After we have constructed a vector of component-wise similarities for a pair of records, we must compute the probability that the pair of records is a match. There are several methods for discovering the probability of a match. Two simple proposals are to use a weighted sum or average of component similarity scores, and use thresholds. However, it is extremely hard to pick weights or tune thresholds. Another simple approach can be rule based matching, but manual formulation of rule sets is difficult.
One interesting technique is the Fellegi & Sunter Model: given a record
pair, r = (x,y)
the comparison vector, is γ. If M
is the set of
matching pairs of records and U
is the set of non-matching pairs of
records, linkage decisions are based on the probability of γ given r
∋ M
divided by the probability of γ given r
∋ U
.
Further, you can decide if a record is a match or not based on error bounds,
μ and λ that create thresholds for whether a record is a match,
a non-match, or it is simply uncertain.
In practice, Fellegi & Sunter requires some knowledge of matches to train the error bounds, therefore some form of supervised learning is required. In general, there are severaal techniques for Machine Learning algorithms that can be applied to ER - Decision Trees, SVNS, Ensembles of Classifiers, Conditional Random Fields, etc. The issue is Training Set Generation since there is an imbalance of classes: non-matches far outnumber matches, and this can result in misclassification.
Active Learning methods and Unsupervised/Semi-supervised techniques, are used to attempt to circumvent the difficulties of traning set generation. Lise and Ashwin propose Committee of Classifiers approaches and even crowdsourcing to leverage active learning to build a training set.
Constraints
There are several important forms of constraints that are relevant to the next sections, given a specific mention, Mi:
- Transitivity: If M1 and M2 match, M2 and M3 match, then M1 and M3 must also match.
- Exclusivity: If M1 matches with M2, then M3 cannot match with M2
- Functional Dependency: If M1 and M2 match, then M3 and M4 must match.
For these broad classes of constraints there are positive and negative evidences of specific constraints, e.g. there is a converse to the match constraint for a non-match or vice-versa. You may even consider hard and soft constraints for the constraint types, as well as extent: can the constraint be applied globablly or locally?
Based on these constraints, you can see that transitivity is the key to deduplication. Exclusivity is the key to record linkage and functional dependencies are used for data cleaning. Further constraints like aggregate, subsumption, neighboord, etc. can be used in a domain specific context.
Specific Algorithms for Problem Domains
Record Linkage: propagation through the exclusitivity constraint means that the current best solution is Weighted K-Partite Matching. Edges are pairs between records from different data sets whose weights are the pairwise match score. The general problem is NP-hard, therefore the common optimization is to perform successive bipartite matching.
Deduplication: propegation through transitivity leads to a clustering based entity resolution. There are a variety of clustering algorithms, but the common input is pairwise similarity graphs. Many clustering algorithms may also require the construction of a cluster representative or a canonical entity. Although heirarhcical clustering or nearest neighbor can be used, the recommended approach is Correlation Clustering.
Correlation Clustering uses Integer Linear Programming to maximize a cost function that places positive and negative benefits of clustering mentions x,y together, such that the Transitive closure is satisfied. However, solving ILP is NP-hard, therefore a number of heuristics are used to approximate the cost function including Greedy BEST/FIRST/VOTE algorithms, the Greedy PIVOT algorithm, and local search.
Canonicalization: Selection of the mention or cluster representative that contains the most information. This can be rule based (e.g. longest length), or for set value attributes a UNION. Edit distance can be used to determine a most representative centroid, or use “majority rule”. Other approaches include the Stanford Entity Resolution Framework (blackbox).
Collective Approaches
If the decision for cluster-membership depends on other clusters, we can use a collective approach. Collective approaches include non-probabilisitic approaches like similarity propegation, or probabilistic models including generative frameworks, or simply a hybrid approach.
Generative probabilistic approaches are based on directed models, where dependecies match decisions in a generative manner. There are a variety of approaches, notably based on LDA and Bayesian Networks. Undirected probabilistic approaches use semantics based on Markov Networks, to the advantage that this allows a declarative syntax based on first-order logic to create constraints. Several suggested approaches include Conditional Random Fields, Markov Logic Networks (MLNs), and Probabilistic Soft Logic.
Probabilistic soft logic introduces reverse predicate equivalence meaning that the same relation with the same entity gives evidence of two entities being the same. This is not true logically, but can allow us to predict the probability of a match with truth values in [0,1]. The declarative language is used to define a constrained continuous Markov random field in first order logic, and we can use relaxed logical operators. This has significant implication for scaling improvements.
Scaling to Big Data
Blocking/Canopy Generation: The first approach to scaling to big data is to use a blocking approach. Consider a Naïve pariwise comparsion with 1,000 business mentions from 1,000 citties. This is 1 trillion comparisons, which is 11.6 days for a microsecond comparison! However, we know that business mentions are probably city-specific, therefore only comparing mentions within cities reduces the comparison space to the more managable 1 billion comparisions, which takes only 16 minutes at the same rate.
Although some matches can be missed using blocking techniques, the key is to select a blocking algorithm that minimizes the subtraction of the set of matching pair records and those satisfying the blocking criterion as in the Venn diagram above, and maximizes the intersection. Common blocking algorithms include hash based blocking, similarity or neighborhood based blocking, or creating complex blocking predicates by combining simple blocking predicates. Another powerful technique is minHash or locality sensitive hashing, which uses distance measures and performs very well, and is recommended as the state of the art for blocking.
The final approach to blocking is more inline with the clustering methods of earlier approaches. In Canopy Clustering a distance metric is selected with two thresholds. By picking a random mention, we create a canopy using the first threshold and we remove all mentions where the distance from the centroid is less than the second threshold. We continue this process so long as the set M is not empty. This approach is interesting because mentions can be included in more than one canopy, and therefore reduces the chance that the blocking method excludes an actual match.
Distributed ER: The MapReduce framework is very popular for large, parallel tasks and there are several open source frameworks related to Hadoop to apply to your application. MapReduce can be used with disjoint blocking- e.g. in the Map Phase (per record computation) you compute the blocks and associate with various reducers, and in the reduce phase (global computation) you can perform the pairwise matching. Several other challenges relating to implementations with MapReduce are discussed in the text and can be reviewed during implementations of ER in MapReduce.
Conclusion
Entity resolution is becoming an increasingly important task as linked data grows, and the requirement for graph based reasoning extends beyond theoritical applications. With the advent of big data computations, this need has become even more prevalent. Much research has been done in the area in seperately named fields, and the tutorial by Dr. Getoor and Dr. Machanavajjhala succinctly highlight the current state of the art and gives a general sense of future work.
Specifically, there needs to be a unified approach to the theory which can give relational learning bounds. Since Entity Resolution is often part of bigger inference applications, there needs to be a joint approach to information extraction, and a characterization of how the success (or errors) affects larger reasoning quality. Similarly, there is a need for large, real-world datasets with ground truth to establish benchmarks for performance.
References
This has been a summary of the work done by Dr. Lise Getoor and Dr. Ashwin Machanavajjhala for their Tutorial entitled Entity Resolution for Big Data, accepted at KDD 2013 in Chicago, Il.
You can find the complete tutorial slides at: http://www.cs.umd.edu/~getoor/Tutorials/ER_KDD2013.pdf
Special thanks to Lise and Ashwin for hosting Cobrain during their run-through of the presentation.


SpiceJet board to meet on November 13 to consider Q2 financial results
In a regulatory filing, the company said its board of directors would meet on November 13.
by Press Trust of IndiaLow-cost carrier SpiceJet on Wednesday said its board will meet on November 13 to consider financial results for the three months ended September.
The airline had reported its highest-ever quarterly profit of Rs 261.7 crore for the June quarter.
In a regulatory filing, the company said its board of directors would meet on November 13.
At the meeting, the board would "consider and approve the unaudited standalone and consolidated financial results of the company for the second quarter ended September 30, 2019," it added.
Shares of the airline on Wednesday declined nearly 2 per cent to close at Rs 114.95 apiece on the BSE.


ngModel
the model to be bound to the control
ngFileGroup
the file group (public as default)
ngDisabled
indicates whether this control is disabled or not
ngRequired
indicates whether the value of this control is required or not
ngValidating
indicated whether the value of this control is validated or not
ngLabel
the label for this control, viewed as header
ngTip
the sublabel for this control, viewed as subheader
ngExtensions
the allowed file extensions
<ctrl-file
ng-model="sample.value"
ng-disabled="false"
ng-required="true"
ng-label="sample label text"
ng-tip="sample tip text"
ng-extensions="['.pdf']"></ctrl-file>


|
OCILIB (C and C++ Driver for Oracle)
4.5.1
|
Object identifying the SQL data type LONG. More...
#include <ocilib.hpp>
Inherits ocilib::HandleHolder< OCI_Long *>.
Public Member Functions | |
| Long () | |
| Create an empty null Long instance. | |
| Long (const Statement &statement) | |
| Constructor. More... | |
| unsigned int | Write (const T &content) |
| Write the given string into the long Object. More... | |
| unsigned int | GetLength () const |
| Return the buffer length. | |
| T | GetContent () const |
| Return the string read from a fetch sequence. | |
Object identifying the SQL data type LONG.
This class wraps the OCILIB object handle OCI_LONG of type OCI_CLONG and its related methods
Definition at line 5347 of file ocilib.hpp.
| ocilib::Long< T, U >::Long | ( | const Statement & | statement | ) |
Constructor.
| statement | - statement object that will handle operations on the long buffer |
Definition at line 4443 of file ocilib_impl.hpp.
References ocilib::Check(), ocilib::Long< T, U >::Long(), OCI_LongCreate(), and OCI_LongFree().
| unsigned int ocilib::Long< T, U >::Write | ( | const T & | content | ) |
Write the given string into the long Object.
| content | - string to write |
Definition at line 4455 of file ocilib_impl.hpp.
References ocilib::Check(), and OCI_LongWrite().


Thaxton's Home Page
Link to my Github Repository!
Link to my Positioning Homework!
Link to my CodePen!
wc3schools
CSS-Tricks
CodePen
GitHub
My Authorship


We are Alice, Deslyn and Rachael and as consumers of fashion, we have become conscious about the impact that our choices can have on the environment. For this reason, we have set up SUSTAINABILITEA, a platform that is committed to spilling the tea on the fast fashion industry.
We are committed to making sure that everyone has the information they need to make an informed decision about the brands that they buy. Not only do we spill the true tea on what fast fashion is doing to our planet, we also keep you informed on the best sustainable brands to ensure that you don’t need to compromise your personal style.
To put it plainly, our planet is suffering and there is no planet B! We just want to do our part to help make consumers, like ourselves, aware about things we can do to improve our current climate situation.


top
|
up
|
prev
|
next
LockGuard Class
Definition at line
36
of
Mutex.hpp
Constructors
LockGuard
(
Mutex
& mtx_,
MutexOwner
& owner_)
Member Functions
void
Lock
()
void
Unlock
()
Member Variables
bool
locked
Mutex
&
mtx
MutexOwner
&
owner
Constructor Details
LockGuard Constructor
soulng::util::LockGuard::LockGuard(
Mutex
& mtx_,
MutexOwner
& owner_)
Definition at line
34
of
Mutex.cpp
:
34
:
mtx
(
mtx_
)
,
owner
(
owner_
)
,
locked
(
false
)
35
{
36
Lock
(
)
;
37
}
Declaration at line
39
of
Mutex.hpp
Member Function Details
Lock Member Function
void
soulng::util::LockGuard::Lock()
Definition at line
47
of
Mutex.cpp
:
48
{
49
owner
.
Push
(
mtx
.
Id
(
)
)
;
50
mtx
.
Lock
(
)
;
51
locked
=
true
;
52
}
Declaration at line
41
of
Mutex.hpp
Calls:
soulng::util::Mutex::Id
,
soulng::util::Mutex::Lock
,
soulng::util::MutexOwner::Push
Unlock Member Function
void
soulng::util::LockGuard::Unlock()
Definition at line
54
of
Mutex.cpp
:
55
{
56
mtx
.
Unlock
(
)
;
57
owner
.
Pop
(
)
;
58
locked
=
false
;
59
}
Declaration at line
42
of
Mutex.hpp
Calls:
soulng::util::Mutex::Unlock
,
soulng::util::MutexOwner::Pop
Called by:
soulng::util::LockGuard::destructor
top
|
up
|
prev
|
next


CAMS Math Competition
Home
Scoreboard
Questions
Account
Home
Scoreboard
Questions
Account
Account
account_circle
Username
vpn_key
Password
Submit
Don't have an account?
placeholder
Logout


Macromedia Flash Dispatcher is a script-based detector for the Macromedia Flash Player. It detects whether the user's Web browser has the Macromedia Flash plug-in or ActiveX control installed, and if so, at what version. The Web developer can configure the Dispatcher to take the appropriate action based on its findings: either load a document containing Macromedia Flash content, load alternate content, or oversee the updating or installation of the player.
This is an interactive demonstration of Macromedia Flash Dispatcher's capabilities.


Methods
addErrorStage(options)
Adds fail stage to the workflow. With adding fail stage also will be
created links from intermediate stages of workflow. To prevent creation
of such links use failable=false in stage options. It's assumed that
workflow cannot fail on START and SUCCESS stages. You can customize this
behavior by creating stages using Chain constructor of this.addStage()
method.
Parameters:
| Name | Type | Description |
|---|---|---|
options |
object | Error stage options. |
addStage(options)
Render new stage with provided options.
Parameters:
| Name | Type | Description |
|---|---|---|
options |
object | Options which will be passed to Stage contructor |
chain(…stages) → {Flow}
Wrapper fof Chain function binded to current workflow. By default last
stage is supposed to be SUCCESS stage that indicates successfull comp-
letition of the workflow. You can customize this behavior by creating
stages with Chain constructor.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
stages |
object |
<repeatable> |
Function takes stages as arguments |
Returns:
Workflow obeject
- Type
- Flow
gotoStage(stage)
Activate stage by label of index. By activating all revious tages will be
deactivated and marked as DONE
Parameters:
| Name | Type | Description |
|---|---|---|
stage |
Number | String | Stage label or index |
next()
Activate next stage
throwErr()
Workflow failed on current stage
(inner) arrowMarker()
Arrow marker


respondents risk []. preparedness .), COVID- coronavirus health knowledge epidemic level information Serbia disease household .); measures study respond age preventive public Serbian community local perceived state supplies influenza pandemic perception results variables (.) higher likely novel (%) (Table educational family high reported {border-style âˆ’. believe caused highest people symptoms virus degree members px;} #ffffff;} citizens education epidemic. response significant aged infected plans protective April cases emergency online: Health avoid different hand hand, research years behavior epidemics food identified impact important population prevent social use (.%) Coronavirus Public Republic Respondents case days experts hygiene need precautionary preparedness, school spread women â‰¤ Hong behaviors individual medical movement outbreak questionnaire studies training Iâ€™m Risk demonstrated develop disaster elderly gender informed institutions management perceptions showed sources strongly survey television time websites China Gender association country factors following gender, government majority personal respiratory variance â€" .collab: Additionally, COVID-. Disease Kong No. Table Variable adoption conducted contacts countries differences disinfectants effective fear general greater having infectious isolation knowledge, media members, online px; rate recommended relation relationship sample scientific severe statement think university using younger {font-family â€œI (Î² .). Age Preventive SARS Serbia, Serbia. World acquaintances affected agreement characteristics citizen college epidemic, equipment font-size friends, groceries hands ijerph---t_Table income internet major national needed number outbreaks predictor prepared preparedness. responders result scores transmission (%), (HN) Disaster Education Infect. March Preparedness [,]. addition, analysis associated changes control demographic disease. double; emergencies event explains exposure followed good ill independent indicate institutions, international junior lack level, levels manifest mild necessary patients perception, plan predictive problems protect regarding respondents, responses restriction significantly smallpox stated statements sufficient thought various wear weeks < (COVID-) (a) (b) .%, ANOVA Appendix Dis../--- Finally, Level Organization Statements [], addresses afraid based border-color border-width common completed consider considered consistent critically deaths disaster. disasters diseases disinfect economic epidemics, etc.) extent fact fever, finding great healthcare human information, low made, maintain make males measures) measures, men mentioned moderate note occur occurred official participants perceptions, pets place pneumonia previous publicsâ€™ related remaining respect responding responsibility restrictions severity shown situation solid; source symptoms, terms territory threat trust tularemia used willingness {font-style {font-weight (%). (.%). (e.g., .%) A.. Addressing Adj. Belgrade Chinese European However, Knowledge Likert Mean Measures One-way Perception Wuhan, [,] acquaintances. activities adequate age, agreeâ€�. area asked assessed average behavioral behaviours bold care chronic commonly communities confirmed consequences contact contagious context courier; critical developing disability disagreeâ€� distance, doctors early em; engaged epidemics. etc. examined expressed face fatigue females findings flu frequently friends global high-school importance include increased individuals infection interventions job likelihood longer losses lower male measures. million model month natural networks new obtained officials old organizations pandemic, paper paws period possibility psychological pt;} radio recover regression reliable report reporting residents resulting risks scale seeking seen services shake shoes special spreading stands status stop syndrome taking test total touch understanding vaccines washing worried zoonotic


--- layout: post title: Students Use GloBI Data to Visualize Spatial Food Webs in Gulf of Mexico date: 2013-04-10 excerpt: An insightful visualization of spatial marine food webs in the Gulf of Mexico. categories: [] tags: - biodiversity - bioinformatics - biology - ecology - encyclopedia of life - eol - food web - trophic - visualization status: publish type: post published: true ---
As part of the Information Visualization MOOC (Massive Open Online Course) led by Dr. Katy Börner of Indiana University, students Twy Bethard (United States), Andrew Miles (United Kingdom), Edward Kok (Netherlands), and Mattia Della Libera (Italy) used GloBI data to create an insightful visualization of spatial marine food webs in the Gulf of Mexico. The full PDF version of the visualization can be found here. Jim Simons, GloBI datasets contributor and lead for GoMexSI, provided an early version of the normalized GloBI data to Twy Bethard in an easy-to-use CSV file format.If you are interested in getting access to a massive amount of global species-interaction data, please visit our EOL GloBI Data wiki or contact us through this blog.


| Trees | Indices | Toggle frames |
|---|
_ClockBase --+ | ClockClass for calculating and limiting framerate, and for calling scheduled functions.
|
__init__(self,
fps_limit=None,
time_function=<built-in function time>)
Initialise a Clock, with optional framerate limit and custom
time function.
|
|
| float |
tick(self,
poll=False)
Signify that one frame has passed.
|
| float |
get_sleep_time(self,
sleep_idle)
Get the time until the next item is scheduled.
|
|
set_fps_limit(self,
fps_limit)
Set the framerate limit.
|
|
| float |
get_fps_limit(self)
Get the framerate limit.
|
| float |
get_fps(self)
Get the average FPS of recent history.
|
|
schedule(self,
func,
*args,
**kwargs)
Schedule a function to be called every frame.
|
|
|
schedule_interval(self,
func,
interval,
*args,
**kwargs)
Schedule a function to be called every
interval seconds. |
|
|
schedule_interval_soft(self,
func,
interval,
*args,
**kwargs)
Schedule a function to be called every
interval seconds,
beginning at a time that does not coincide with other scheduled
events. |
|
|
schedule_once(self,
func,
delay,
*args,
**kwargs)
Schedule a function to be called once after
delay seconds. |
|
|
unschedule(self,
func)
Remove a function from the schedule.
|
|
Inherited from _ClockBase :
sleep
|
MIN_SLEEP = 0.005
The minimum amount of time in seconds this clock will attempt to sleep
for when framerate limiting.
|
|
SLEEP_UNDERSHOOT = 0.004
The amount of time in seconds this clock subtracts from sleep values
to compensate for lazy operating systems.
|
Signify that one frame has passed.
This will call any scheduled functions that have elapsed.
If True, the function will call any scheduled functions but will not sleep or busy-wait for any reason. Recommended for advanced applications managing their own sleep timers only.
Since pyglet 1.1.
Get the time until the next item is scheduled.
This method considers all scheduled items and the current fps_limit, if any.
Applications can choose to continue receiving updates at the maximum framerate during idle time (when no functions are scheduled), or they can sleep through their idle time and allow the CPU to switch to other processes or run in low-power mode.
If sleep_idle
is True the latter behaviour is selected, and
None will be returned if there are no scheduled items.
Otherwise, if sleep_idle
is False, a sleep time allowing
the maximum possible framerate (considering fps_limit) will
be returned; or an earlier time if a scheduled function is ready.
Since: pyglet 1.1
Set the framerate limit.
The framerate limit applies only when a function is scheduled for every frame. That is, the framerate limit can be exceeded by scheduling a function for a very small period of time.
Deprecated: Use pyglet.app.run and schedule_interval instead.
Get the average FPS of recent history.
The result is the average of a sliding window of the last "n" frames, where "n" is some number designed to cover approximately 1 second.
Schedule a function to be called every frame.
The function should have a prototype that includes dt as the first argument, which gives the elapsed time, in seconds, since the last clock tick. Any additional arguments given to this function are passed on to the callback:
def callback(dt, *args, **kwargs): pass
Schedule a function to be called every interval
seconds.
Specifying an interval of 0 prevents the function from being called again (see schedule to call a function as often as possible).
The callback function prototype is the same as for schedule.
Schedule a function to be called every interval
seconds,
beginning at a time that does not coincide with other scheduled
events.
This method is similar to schedule_interval, except that the clock will move the interval out of phase with other scheduled functions so as to distribute CPU more load evenly over time.
This is useful for functions that need to be called regularly, but not relative to the initial start time. pyglet.media does this for scheduling audio buffer updates, which need to occur regularly -- if all audio updates are scheduled at the same time (for example, mixing several tracks of a music score, or playing multiple videos back simultaneously), the resulting load on the CPU is excessive for those intervals but idle outside. Using the soft interval scheduling, the load is more evenly distributed.
Soft interval scheduling can also be used as an easy way to schedule graphics animations out of phase; for example, multiple flags waving in the wind.
Since: pyglet 1.1
Schedule a function to be called once after delay
seconds.
The callback function prototype is the same as for schedule.
Remove a function from the schedule.
If the function appears in the schedule more than once, all occurances are removed. If the function was not scheduled, no error is raised.
0.005 |
| Trees | Indices | Toggle frames |
|---|
| Generated by Epydoc 3.0beta1 on Sun Mar 22 20:15:39 2009 | http://epydoc.sourceforge.net |


Great!
Your account has been created successfully
Confirm
Already an user? please
Login
Back to Home


node-zookeeper-client-async
A promises wrapper over https://github.com/alexguan/node-zookeeper-client
For the most part it has each method included in the original node-zookeeper-client, with
each method with a callback having an additional Async
variant (e.g. createAsync
).
The symantics are slightly different in that operations on nonexistant nodes typically do
not reject (i.e. return an error), but rather resolve null
.
Documentation
For more specific information see the documentation
Example
const zk = require('node-zookeeper-client-async');
(async function main() {
const client = zk.createAsyncClient("<IP_ADDRESS>:2181");
// connect to the server
await client.connectAsync();
console.log('connected!');
// create a node
const rootPath = await client.mkdirpAsync('/test');
console.log(`created ${rootPath}`)
// add some ephemeral nodes
await client.createAsync('/test/counter-', Buffer.from('first'), null, zk.CreateMode.EPHEMERAL_SEQUENTIAL);
await client.createAsync('/test/counter-', Buffer.from('second'), null, zk.CreateMode.EPHEMERAL_SEQUENTIAL);
// list the nodes
const nodes = await client.getChildrenAsync('/test');
// print stuff to console
console.log(`${rootPath} has the children:`)
await Promise.all(nodes.map(async node => {
const data = await client.getDataAsync(`/test/${node}`);
console.log(` ${node}: ${data.data}`);
}));
// delete everything
await client.rmrfAsync(rootPath);
// shut down
await client.closeAsync();
console.log('disconnected');
})();
Console output:
~/node-zookeeper-client-async$ node example.js
connected!
created /test
/test has the children:
counter-0000000000: first
counter-0000000001: second
disconnected


Contract No
Rent
Payment Type
Rent Start
Rent Finish
Client Registration No
Property Registration No
Contract No
Rent
Payment Type
Rent Start
Rent Finish
Client Registration No
Property Registration No
Actions
|


You can also use the old fashion file picker or use a online video
Looking Good? Start project.
Not the the video you looking for? Click here to pick another


Hello, I'm Angelita, and I am extremely excited to have you here on my site! I am fresh out of college, and by a stroke of good luck, took a couple courses in Computer Science and absolutely fell in love with programming. After graduating, I enrolled into DevBootCamp, and have been learning more and more about programming and software development everyday and loving it. I invite you to take a look at my blogs and projects and to leave any comments, questions, or suggestions. Thank you for visiting my site!


Toggle navigation
Home
Events
Overview
Celebrity Performance
Singing Competition
Band Competition
Dance
AAKRITI
Tech Talks
Seminar
Gallery
Sponsors
Contact Us
Keep Scrolling !
Stay tuned, we will update every information.


--- notes: | Colorful stats: headline title. Used in "intro" and "at-a-glance" sections on ppc microsites. Colors can be changed with CSS class modifiers. ---


Polanski mulls legal riposte to France rape claim, says lawyer
PARIS, Nov 10 — Oscar-winner Roman Polanski is considering taking legal action against a French newspaper that published allegations from a former actress that the acclaimed director raped her, his lawyer said Sunday.
Valentine Monnier on Friday became the latest woman to accuse the Polish-French film director of rape, telling Le Parisien she was attacked in 1975, aged 18, at Polanski’s chalet in the Swiss ski resort of Gstaad.
“Mr Polanski disputes in the strongest terms this rape accusation,” lawyer Herve Temime told AFP in a statement.
“We are working on the legal action to bring against this publication,” he said referring to the Le Parisien newspaper.
Monnier, who appeared in several films in the 1980s, said she had finally decided to speak out as Polanski’s new film about an error of justice was due to come out.
An Officer and A Spy (J’accuse) hits cinemas in France on Wednesday.
Polanski fled to France from the United States in 1978 after admitting to the statutory rape of a 13-year-old girl.
US efforts to extradite him, including from Switzerland and Poland, have so far failed. — AFP


fun close(): Unit
Attempts to close the ExpandableFab, playing the appropriate animations in the process. If the ExpandableFab is not in a position to close (it's still playing its opening animations), it will remind itself to close once it is able.
Safe to call even when no ExpandableFab is open (will do nothing).


Odysseus Home
Home
Monitoring
UPS Status
Settings
Server Monitoring
Enable Monitoring:
False
True
Warning!
Your server is missing RWHO, monitoring will be disabled
Host
Status
Uptime
Users
Processor Times
Refresh Rate (seconds):
Apply


Fleet (F.C.M.S)
11
New followers
1 new follower
New e-mails
You have 10 new emails
Pending Tasks
11 pending task
More notifications
14
Submit
English
English
Spanish
{{ moduleName }}
{{ subModule }}


jQuery Tree view without plugin
Toggle All
First Level
Second Level
Second Level
Second Level
First Level
Second Level
Third Level
Third Level
Third Level
Fourth Level
Fourth Level
Fourth Level
Fifth Level
Fifth Level
Fifth Level
Second Level
First Level
Second Level
Second Level


abstract val bytes: ByteArray
The underlying bytes. Some implementations may choose to make a copy of the underlying ByteArray for security reasons. For example, OpaqueBytes.


Represents a universally unique identifier (UUID), according to RFC 4122
This class provides immutable UUID objects (the Uuid class) and the static
methods uuid1()
, uuid3()
, uuid4()
, and uuid5()
for generating version
1, 3, 4, and 5 UUIDs as specified in RFC 4122.
If all you want is a unique ID, you should probably call uuid1()
or uuid4()
.
Note that uuid1()
may compromise privacy since it creates a UUID containing
the computer’s network address. uuid4()
creates a random UUID.
__toString() : string
compareTo(\Rhumsaa\Uuid\Uuid $uuid) : int
The first of two UUIDs is greater than the second if the most significant field in which the UUIDs differ is greater for the first UUID.
int
-1, 0 or 1 as this UUID is less than, equal to, or greater than $uuidequals(object $obj) : bool
The result is true if and only if the argument is not null, is a UUID object, has the same variant, and contains the same value, bit for bit, as this UUID.
object
bool
True if $obj is equal to this UUIDfromBytes(string $bytes) : \Rhumsaa\Uuid\Uuid
string
\InvalidArgumentException |
If the $bytes string does not contain 16 characters |
|---|
fromString(string $name) : \Rhumsaa\Uuid\Uuid
string
A string that specifies a UUID
\InvalidArgumentException |
If the $name isn't a valid UUID |
|---|
getBytes() : string
string
getClockSeqHiAndReserved() : int
int
Unsigned 8-bit integer value of clock_seq_hi_and_reservedgetClockSeqHiAndReservedHex() : string
string
Hexadecimal value of clock_seq_hi_and_reservedgetClockSeqLow() : int
int
Unsigned 8-bit integer value of clock_seq_lowgetClockSeqLowHex() : string
string
Hexadecimal value of clock_seq_lowgetClockSequence() : int
For UUID version 1, the clock sequence is used to help avoid duplicates that could arise when the clock is set backwards in time or if the node ID changes.
For UUID version 3 or 5, the clock sequence is a 14-bit value constructed from a name as described in RFC 4122, Section 4.3.
For UUID version 4, clock sequence is a randomly or pseudo-randomly generated 14-bit value as described in RFC 4122, Section 4.4.
| link | http://tools.ietf.org/html/rfc4122#section-4.1.5 |
|---|
int
Unsigned 14-bit integer value of clock sequencegetClockSequenceHex() : string
string
Hexadecimal value of clock sequencegetDateTime() : \DateTime
The timestamp value is only meaningful in a time-based UUID, which has version type 1. If this UUID is not a time-based UUID then this method throws UnsupportedOperationException.
\Rhumsaa\Uuid\Exception\UnsupportedOperationException |
If this UUID is not a version 1 UUID |
|---|---|
\Rhumsaa\Uuid\Exception\UnsatisfiedDependencyException |
if called on a 32-bit system and Moontoast\Math\BigNumber is not present |
\DateTime
A PHP DateTime representation of the dategetFields() : array
| link | http://tools.ietf.org/html/rfc4122#section-4.1.2 |
|---|
\Rhumsaa\Uuid\Exception\UnsatisfiedDependencyException |
if called on a 32-bit system |
|---|
array
The UUID fields represented as integer valuesgetFieldsHex() : array
array
The UUID fields represented as hexadecimal valuesgetLeastSignificantBits() : \Moontoast\Math\BigNumber
\Rhumsaa\Uuid\Exception\UnsatisfiedDependencyException |
if Moontoast\Math\BigNumber is not present |
|---|
\Moontoast\Math\BigNumber
BigNumber representation of the unsigned 64-bit integer valuegetLeastSignificantBitsHex() : string
string
Hexadecimal value of least significant bitsgetMostSignificantBits() : \Moontoast\Math\BigNumber
\Rhumsaa\Uuid\Exception\UnsatisfiedDependencyException |
if Moontoast\Math\BigNumber is not present |
|---|
\Moontoast\Math\BigNumber
BigNumber representation of the unsigned 64-bit integer valuegetMostSignificantBitsHex() : string
string
Hexadecimal value of most significant bitsgetNode() : int
For UUID version 1, the node field consists of an IEEE 802 MAC address, usually the host address. For systems with multiple IEEE 802 addresses, any available one can be used. The lowest addressed octet (octet number 10) contains the global/local bit and the unicast/multicast bit, and is the first octet of the address transmitted on an 802.3 LAN.
For systems with no IEEE address, a randomly or pseudo-randomly generated value may be used; see RFC 4122, Section 4.5. The multicast bit must be set in such addresses, in order that they will never conflict with addresses obtained from network cards.
For UUID version 3 or 5, the node field is a 48-bit value constructed from a name as described in RFC 4122, Section 4.3.
For UUID version 4, the node field is a randomly or pseudo-randomly generated 48-bit value as described in RFC 4122, Section 4.4.
| link | http://tools.ietf.org/html/rfc4122#section-4.1.6 |
|---|
\Rhumsaa\Uuid\Exception\UnsatisfiedDependencyException |
if called on a 32-bit system |
|---|
int
Unsigned 48-bit integer value of nodegetNodeHex() : string
For UUID version 1, the node field consists of an IEEE 802 MAC address, usually the host address. For systems with multiple IEEE 802 addresses, any available one can be used. The lowest addressed octet (octet number 10) contains the global/local bit and the unicast/multicast bit, and is the first octet of the address transmitted on an 802.3 LAN.
For systems with no IEEE address, a randomly or pseudo-randomly generated value may be used; see RFC 4122, Section 4.5. The multicast bit must be set in such addresses, in order that they will never conflict with addresses obtained from network cards.
For UUID version 3 or 5, the node field is a 48-bit value constructed from a name as described in RFC 4122, Section 4.3.
For UUID version 4, the node field is a randomly or pseudo-randomly generated 48-bit value as described in RFC 4122, Section 4.4.
| link | http://tools.ietf.org/html/rfc4122#section-4.1.6 |
|---|
string
Hexadecimal value of nodegetTimeHiAndVersion() : int
int
Unsigned 16-bit integer value of time_hi_and_versiongetTimeHiAndVersionHex() : string
string
Hexadecimal value of time_hi_and_versiongetTimeLow() : int
\Rhumsaa\Uuid\Exception\UnsatisfiedDependencyException |
if called on a 32-bit system |
|---|
int
Unsigned 32-bit integer value of time_lowgetTimeLowHex() : string
string
Hexadecimal value of time_lowgetTimeMid() : int
int
Unsigned 16-bit integer value of time_midgetTimeMidHex() : string
string
Hexadecimal value of time_midgetTimestamp() : int
The 60 bit timestamp value is constructed from the time_low, time_mid, and time_hi fields of this UUID. The resulting timestamp is measured in 100-nanosecond units since midnight, October 15, 1582 UTC.
The timestamp value is only meaningful in a time-based UUID, which has version type 1. If this UUID is not a time-based UUID then this method throws UnsupportedOperationException.
| link | http://tools.ietf.org/html/rfc4122#section-4.1.4 |
|---|
\Rhumsaa\Uuid\Exception\UnsupportedOperationException |
If this UUID is not a version 1 UUID |
|---|---|
\Rhumsaa\Uuid\Exception\UnsatisfiedDependencyException |
if called on a 32-bit system |
int
Unsigned 60-bit integer value of the timestampgetTimestampHex() : string
The 60 bit timestamp value is constructed from the time_low, time_mid, and time_hi fields of this UUID. The resulting timestamp is measured in 100-nanosecond units since midnight, October 15, 1582 UTC.
The timestamp value is only meaningful in a time-based UUID, which has version type 1. If this UUID is not a time-based UUID then this method throws UnsupportedOperationException.
| link | http://tools.ietf.org/html/rfc4122#section-4.1.4 |
|---|
\Rhumsaa\Uuid\Exception\UnsupportedOperationException |
If this UUID is not a version 1 UUID |
|---|
string
Hexadecimal value of the timestampgetUrn() : string
getVariant() : int
The variant number describes the layout of the UUID. The variant number has the following meaning:
| link | http://tools.ietf.org/html/rfc4122#section-4.1.1 |
|---|
int
getVersion() : int
The version number describes how this UUID was generated.
The version number has the following meaning:
| link | http://tools.ietf.org/html/rfc4122#section-4.1.3 |
|---|
int
isValid(string $uuid) : boolean
string
The uuid to test
boolean
toString() : string
string
uuid1(int | string $node, int $clockSeq) : \Rhumsaa\Uuid\Uuid
If $node is not given, getMacAddress() is used to obtain the hardware address. If $clockSeq is given, it is used as the sequence number; otherwise a random 14-bit sequence number is chosen.
int
string
A 48-bit number representing the hardware address. This number may be represented as an integer or a hexadecimal string.
int
A 14-bit number used to help avoid duplicates that could arise when the clock is set backwards in time or if the node ID changes.
\InvalidArgumentException |
if the $node is invalid |
|---|
uuid3(\Rhumsaa\Uuid\Uuid | string $ns, string $name) : \Rhumsaa\Uuid\Uuid
string
The name to create a UUID for
uuid5(\Rhumsaa\Uuid\Uuid | string $ns, string $name) : \Rhumsaa\Uuid\Uuid
string
The name to create a UUID for
__construct(array $fields)
Protected to prevent direct instantiation. Use static methods to create UUIDs.
array
calculateUuidTime(int $sec, int $usec) : array
UUID time is a 60-bit time value as a count of 100-nanosecond intervals since 00:00:00.00, 15 October 1582.
int
Seconds since the Unix Epoch
int
Microseconds
\Rhumsaa\Uuid\Exception\UnsatisfiedDependencyException |
if called on a 32-bit system and Moontoast\Math\BigNumber is not present |
|---|
array
getNodeFromSystem() : string
If all attempts to obtain the hardware address fail, we choose a random 48-bit number with its eighth bit set to 1 as recommended in RFC 4122. "Hardware address" means the MAC address of a network interface, and on a machine with multiple network interfaces the MAC address of any one of them may be returned.
| todo | Needs evaluation and possibly modification to ensure this works well across multiple platforms. |
|---|
string
hasBigNumber() : bool
bool
is64BitSystem() : bool
bool
uuidFromHashedName(string $hash, int $version) : \Rhumsaa\Uuid\Uuid
string
The hash to use when creating the UUID
int
The UUID version to be generated
$force32Bit : bool
$forceNoBigNumber : bool
$ignoreSystemNode : bool
$timeOfDayTest : array
$fields : array
This is initialized to the nil value.
| see | \Rhumsaa\Uuid\Uuid::getFields |
|---|
NAMESPACE_DNS
NAMESPACE_OID
NAMESPACE_URL
NAMESPACE_X500
NIL
RESERVED_FUTURE
RESERVED_MICROSOFT
RFC_4122


WORK (Past 10 years)
Data Architect/Technical Program Manager, Enterprise Data Services (EDS)
Cisco Systems Inc.
Accountable for establishing data architecture and driving cross-functional collaboration on SAP Hana projects with the various project teams.
- Improved visibility of the content in Hana, and enabled Hana data models to scale up by documenting data requirements in an integrated logical data model in ER-Studio.
- Reduced the time spent upfront on map gap analysis by documenting and publishing the enterprise bus matrix for business processes and dimensions in Hana, and involving the Teradata subject matter experts in the process.
- Streamlined data architecture processes with enabling the automated generation of SAP Hana data models from the data models already built for the Teradata data sources in ER-Studio.
- Optimized efficient use of the Hana platform by ensuring that use cases and Hana artifacts were reviewed, and necessary steps taken to fix any discrepancies.
- Streamlined existing processes by driving various initiatives such as implementing user security, change management, Hana deployment automation etc.
- Reduced delays in project deliverables by improving communications between the project, data platforms and Hana operations teams, by establishing an appropriate operating model.
- Improved awareness of the data platforms and technologies available within EDS by assessing the needs of each enterprise data services customer, and conducting customized training sessions.
Metadata Catalog Program Manager, Enterprise Data Services
Cisco Systems Inc.
Built a team of in-house Rochade developers, and worked with Rochade vendor (ASG) to build a Rochade metadata catalog from the ground up, and enable end-to-end data lineage, root cause analysis and a business glossary.
- Enabled self-service, and reduced time spent on impact analysis for changes to the enterprise data warehouse, from three weeks to a day, by driving an enterprise metadata catalog program using Rochade.
- Increased catalog usability by negotiating with the Rochade vendor (ASG) and influencing product roadmap to enable various customized features such as enabling column-level lineage, and making available customized filters in the catalog user interface, to avoid being presented with gigantic lineage diagrams.
- Improved user adoption of the metadata catalog by 60%, by educating business and technical users about the catalog, articulating the benefits of a metadata catalog, implementing feedback about catalog usability.
- Raised the quality of development objects in the metadata sources, by driving cross-functional collaboration and influencing the Data Governance, Data Integration, BI Delivery, and Data Modeling teams.
Sr. Logical Data Modeler, Enterprise Data Services
Cisco Systems Inc.
Built conceptual, logical and physical data models for the Enterprise Data Warehouse and other systems.
- Improved data integrity and reduced redundancy of data in the Enterprise Data Warehouse (EDW), and other non-EDW systems, by building logical data models in third normal form in ER-Studio and Erwin.
- Increased productivity of the data modeling team by automating several manual tasks via ER-Studio macros.
- Enabled tracing data lineage from the Oracle EDW to the Teradata EDW, by building a metadata catalog in Oracle.
Senior Business Systems Analyst/Data Modeler, Sales
VMware Inc.
Primary link of communication between the business sponsor, and data mart team.
- Lead the initiative to build the first ever Data Mart at VMware, for the Sales organization. The Data Mart was implemented in Oracle, and OBIEE was leveraged for the Dashboards.
- Collected/documented business requirements, conducted source system analysis, built ELT mapping documents.
- Built Logical/Physical 3NF Data Models, Dimensional Data Models/Star Schemas for the Sales Data Mart.