AMAZING PEOPLE ARE DOING AMAZING DESIGNS IN A FUN ENVIRONMENT
When you work with us ,you are part of a team of comitted collaborators.All aspects of our software developement process are intergrated,interactive and agile. our approach unifies design,developement and product management to create exceptional products. We start each project by understanding your business goals,the user's needs and the product requirements. Then we help translate them into effective and elegant solutions.
Before we sign a contract or write a line of code our team will spend the necessary time needed to understand your product vision. The outcome of this scooping session is proporsal or high level statement of work based on your requirements,we can provide a complete offering or just the pieces you need.
Our design practice offers a full range of services
including brand strategy, interaction
and visual
design
and user experience testing.
Throughout your project, our designers create and
implement visual
design and workflows, solicit user
feedback and work with you to make sure what gets built
is what
is
needed.
All engineers are fluent in the latest enterprise,
mobile and web development
technologies.
They
collaborate with your team to write,
and improve code on a daily basis, using proven
practices
such
as
test-driven development and
pair programming.
Planning and development is iterative.
Because we are constantly coding and testing,
the products we
build are always
ready to go live.
This iterative process allows for changes
as business
requirements
evolve.
|
GREY FLASH |
MIGHTY ONTARIO |
GOLDEN |
CARTOON |
|
DESKTOP |
SCREEN |
LOGO |
ADVERT |


Translocation (3; 14) (q27; q11): a new variant translocation in a patient with non-Hodgkin 's lymphoma of B-cell type with BCL6 rearrangement.
Abstract
We report a 65-year-old woman with non-Hodgkin 's lymphoma (NHL) carrying a t (3; 14) (q27; q11) and BCL6 rearrangement in the affected cells. She had generalized lymphadenopathy and the bone marrow was infiltrated by lymphoma cells at presentation. Histological diagnosis was `` malignant lymphoma, diffuse, large cell '' type according to an International Working Formulation. Chromosome analysis revealed a t (3; 14) (q27; q11), which is a new variant translocation of t (3; 14) (q27; q32). Southern blot analysis showed rearrangement of BCL6, JH, and TCR beta but not of TCR delta. Cosmid probe of BCL6 hybridized to 14q11 and 3q27 by fluorescence in situ hybridization (FISH). Although the band 14q11 is a locus of T-cell receptor alpha- and delta-chains (TCR alpha/delta), lymphoma cells expressed B-cell, IgGk phenotype. The findings suggest that a novel proto-oncogene in the vicinity of TCR alpha/delta is involved in this translocation.


ModalFlow Example
Data Passing Modal Chain
Modal Step 1
Enter a word
Next
×
Modal Step 2
Enter another word
Next
×


Pet rescue is the best website to adopt any type of pet. Our demure animals are in the best conditions.
The animals are bred in places that meet their needs.
You can find us by clicking here
our companyGrayscale includes full HTML, CSS, and custom JavaScript files along with SASS and LESS files for easy customization!
You can download Grayscale for free on the preview page at Start Bootstrap.
Visit Download PageFeel free to leave us a comment on the Grayscale template overview page on Start Bootstrap to give some feedback about this theme!


while
loops which iterate
over collections, and can be replaced with more concise enhanced for
loop (i.e. foreach iteration syntax).
Example:
Iterator it = c.iterator(); while(it.hasNext()) { Object obj = it.next(); System.out.println(obj); }
Can be replaced with:
for (Object obj : c) { System.out.println(obj); }
This inspection only reports if the language level of the project or module is 5 or higher


Oct 15, 2013. Minnesota Vikings star running back Adrian Peterson is the NFL MVP, but as a father he seems to be more like MIA. Peterson is talented. at When Mia was 13, she gave birth to her daughter, Isabella, whose father is Lucas. Mia is reluctant because of her baby, but she eventually gets back into it and
Rosemary Woodhouse (Mia Farrow), a. bright but somewhat naive young of her baby's eyes, Rosemary is told that Guy is not the baby's father and that the
The album title is the nom de guerre that M. I. A 's father took. when he joined the. and Confused as a mix of "babies, death, destruction and powerlessness"
Feb 16, 2009 The baby's father is Benjamin Brewer, a New York musician. and son of Warner Music CEO Edgar Bronfman MIA "and baby" are planning to Oct 2, 2013 Forget Rosemary's Baby -- just who is the father of Mia's baby?! Mia. Farrow sparked an Old Hollywood 25-year-old baby-daddy mystery with
Mar 6, 2009. Say hi to Benjamin. Bronfman You probably know him because of his band The Exit, or the. fact that he's the founder of Green Owl, a record
A documentary about wounded veterans that Roger championed gets a screening at the Rehabilitation Institute of Chicago and screenings in New York and Los Angeles…
Feb 7, 2012 By Radar Staff M. I A , who shocked America on Sunday by flipping the bird during . her Super Bowl Halftime Show performance of Give Me All
Mar 13, 2013. Things are heating up between M. I A and her billionaire baby daddy Benjamin Bronfman! After splitting from the environmentalist in February
Mar 15, 2013. Sri-Lankan-born. rapper M I A is in the middle of an ugly custody battle with the father of her young son The rhymer trashed her baby's daddy,
Oct 2, 2013 Evan Agostini/Invision/APIn a recent interview actress Mia Farrow admitted that. However, the "Rosemary's Baby" actress was married to the Oct 2, 2013. In a new interview with Vanity Fair, actress. and Twitter celebrity Mia Farrow Ronan, whose biological father has always been reported to be the director. born in 1987old, but not necessarily. incapable of making a baby
Oct 3, 2013 love of actress Mia Farrow's life and could possibly be the father of her. father, Farrow, the star of 1968's "Rosemary's Baby" said, "Possibly. " Oct 2, 2013 Mia Farrow made news today when she told Vanity Fair that. Ronan Farrow, her thought-to-be biological son with (Just as his possible father was rumored to have given the slow clap to thousands of women) Eddie. Baby.


|
James BondThere's nothing that quite sums up the concept of British culture, elegance and class like Pussy Galore.For all its purported glamor, James Bond is right up there with Benny Hill in terms of storycraft as well as in the crass and cliched exploitation of chicks. In both cases, the end result is unsophisticated male masturbatory fare of the PG-13 variety. The only difference between Benny and James is the targeted viewer demographic. Benny Hill is for those men who have lost all hope of actually seeing a naked girl in real life. James Bond is for men who still cling to hope that they can sleep with the woman sitting next to them in the theater. And for the women sitting next to them, who cling to hope that they can sleep with James Bond. James Bond was the brainchild of Ian Fleming, the scion of one of Britain's great lines of inbred nobility. With ample "St. Croixs" and "Valentines" in the old family tree, Fleming had a life of luxury awaiting him, but patriotism and family tradition led him to military service in World War II. While working for Naval Intelligence, Fleming took part in some of the most elaborate spy schemes in history, as well as some of the silliest. After top Nazi Rudolph Hess made a bizarre defection to Britain in 1941, Fleming recruited Aleister Crowley to interrogate Hess about Nazi occult practices, to the great amusement of the intelligence community. (The interview never took place, but Crowley later served as inspiration for a Bond villain in Casino Royale.) After the war, Fleming took up full-time womanizing and dilettantism in the grand tradition of British nobility, but a scandal forced him into marriage in the 1950s. With all that libido and overactive imagination now penned within the limits of holy matrimony, Fleming set out on a writing spree that would revolutionize the spy genre. Plus he wrote Chitty-Chitty Bang Bang. James Bond, Fleming's primary literary creation, was a spy. It's impossible to describe Bond without reverting a series of word associations made possible by his ubiquitous status as a cultural icon. He was Agent 007, a member of Her Majesty's Secret Service. He had a license to kill. He worked for a guy named M and with another guy named Q, and he sexually harassed his boss's secretary, Miss Moneypenney. In fact, Bond pathologically harassed every woman he met, women such as Sylvia Trench, Honey Ryder, Pussy Galore, Kissy Suzuki, Plenty O'Toole, Mary Goodnight, Holly Goodnight, Bibi Dahl, Octopussy, Vesper Lynn, Fatima Blush, Xenia Onatopp, Elektra King and Molly Warmflash. You will find an endless number of Bond apologists in literary and film circles who will wax on endlessly about how "Bond girls" are empowered women in control of their lives, but let's face it -- there is a certain easily recognizable mentality that names women Pussy Galore or Plenty O'Toole. It's called "frat boy." Bond books were the ultimate in product placement, stories about adult males romping through a teenage boy's idealized wet-dream of a world, stuffed with gadgets, girls and intrigue, where the women are always willing and the villains are never winning. Because of this mentality, Ian Fleming was well on his way to becoming the male Jackie Collins, making Bond a footnote in the annals of literature alongside such testosterone mongers as Doc Savage, The Avenger and other manly pulp fiction heroes. Then someone came up with the bright idea of making it into a movie -- starting with Dr. No in 1962. It's arguable who benefitted most from the union of Sean Connery and James Bond, but the odds are pretty good that it was Bond. Connery was recommended for the role by Patrick McGoohan, a fellow Scotsman who'd made his fame playing secret agent John Drake on Danger Man, a British TV drama. Connery gave James Bond the one thing that the superspy so desperately needed -- sex appeal. Real sex appeal, that is.  By virtue of sheer charisma, Connery transformed James Bond from a man's idea of what women like into a woman's idea of what women like. This crucial enhancement made Bond movies into date material, providing a male wish-fulfillment fantasy trip while serving up eye candy to keep girlfriends and wives in their seats. It was money in the bank. Connery appeared in several Bond films, but he would not be the only Bond. Several actors played the role (not counting the identity crisis mirth of Casino Royale), including Connery, Pierce Brosnan, Timothy Dalton, Roger Moore and George Lazenby. Brosnan gets points for being the most recent, but there are only two versions of the superspy who matter in the final analysis: Connery and Moore. Their peculiarly opposite performances of the character sum up the two opposite poles of the character, such as they are. On one end, you have copious style with a hint of substance. On the other, you have style, style and more style. Connery is the tough guy with a sensitive streak, equally at home holding a martini glass or punching you in the nose. The women come to see him, and the men want to be him. Moore is a debonair robot with empty eyes, an unintentionally post-modern interpretation with all the flash and prettiness, but no depth to speak of, memorable mostly for his impossibly dry delivery of one-liners. All the other actors are riffing on one of those two themes with varying degrees of success. The seemingly eternal appeal of the Bond franchise has dimmed in recent years, in part due to the severe decline in the number of Americans who find the name "Pussy Galore" even remotely witty. The rise of action movies featuring genuine tough guys in the leading roles has also cut into the franchise's longevity. The movie-going public wants heroes who look and sound more like the governor of California than the Prince of Wales.
Bond's sexual dysfunction has further limited the franchise's marketability in recent years. Bond has screwed more than 40 ladies in the course of the 20-some movies (the exact count of both movies and women is controversial for reasons too tedious to recount here). His seduction technique primarily involves "being James Bond," which causes panties to miraculously disappear everywhere he goes. Bond's silly sexcapades been amply lampooned in any number of venues, including an inspired Saturday Night Live sketch in which Bond is forced to call all his former lovers to tell them he's contracted VD, and the wildly popular Mike Myers brainchild Austin Powers. Considering that Bond's movie career began with a parody in the first place, it's mildly ironic that the Powers films have largely usurped the original Bond audience for itself. Yeah, baby! When Bond distributor MGM sued for trademark infringement over the Powers' title Goldmember, the snickering was palpable all over Hollywood. The suit was settled amicably, allowing the now visibly desperate MGM to show a free trailer for its upcoming Bond flick at all showings of Goldmember. Myers got the last laugh, with U.S. grosses that beat Die Another Day by more that $60 million. Nevertheless, the most recent Bond flick, Die Another Day pulled in a respectable $150 million in U.S. box office and even more overseas. As long as people are willing to pay cash money for the privilege of turning their brains off, there will be a James Bond.
all the moviesThe most visible sign of how poorly the James Bond franchise has aged can be seen in its movie titles, which rely inordinately on variations of the words "live," "die," "gold" and "kill." Hell, "Tomorrow Never Dies" and "Die Another Day" aren't even different titles.
|


In this tutorial, you will learn about if statement (including if...else and nested if..else) in C programming with the help of examples.
C if Statement
// Program to display a number if it is negative#include
int main() {
int number;
printf("Enter an integer: ");
scanf("%d", &number);
// true if number is less than 0
if (number < 0) {
printf("You entered %d.\n", number);
} printf("The if statement is easy.");
return 0;
}
Output 1
Enter an integer: -2
You entered -2.
You entered -2.
When the user enters -2, the test expression number<0 is evaluated to true.
Hence, You entered -2 is displayed on the screen.
Output 2
Enter an integer: 5
The if statement is easy.
When the user enters 5, the test expression number<0 is evaluated to false and the statement inside the body of if is not executed


Shape Outside Demo ellipse
The following are a few of my favorite excerpts from the 2005 Stanford University commencement speech given by Steve Jobs.
“No one wants to die. Even people who want to go to heaven don't want to die to get there. And yet death is the destination we all share. No one has ever escaped it. And that is as it should be, because Death is very likely the single best invention of Life. It is Life's change agent. It clears out the old to make way for the new. Right now the new is you, but someday not too long from now, you will gradually become the old and be cleared away. Sorry to be so dramatic, but it is quite true.
 Don't be trapped by dogma — which is living with the results of other people's thinking. Don't let the noise of others' opinions drown out your own inner voice. And most important, have the courage to follow your heart and intuition. They somehow already know what you truly want to become. Everything else is secondary.
Stay Hungry. Stay Foolish.”


Temple Inspector:
The temple's balance is slipping... I don't think it can be easily restored.
Quest


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@JvmOverloads fun reset(listener: ReceivePurchaserInfoListener = receivePurchaserInfoListenerStub): Unit
Resets the Purchases client clearing the save appUserID. This will generate a random user id and save it in the cache.
listener
- An optional listener to listen for successes or errors.


Semarang is one of Indonesia's five major cities and is in the central part of the north coast of Java. Tanjung Emas is the name of its port, around which lies the city's oldest buildings, some of which date back to the Dutch colonial era or older. It has a large ethnic Chinese population and the city houses several Chinese temples.
The harbour is also home to several traditional Pinisi
sailing ships.
Position 06°56.5' S 110°25.1' E.
See Indonesia Formalities for all the details re. clearing into and out of Indonesia.
This is an official Port of Entry for cruise ships only.
Last updated March 2016.
There is an outer light buoy 4.5nm off-shore and the buoyed channel starts 2nm off-shore. Keep to the west side of this channel.
The harbour is well protected by breakwaters.
Call the Port Captain on VHF on approach, but there is usually a berth available in the pinsi
harbour where you will find many types of working, engine-less sailing craft.
It is also possible to anchor in the western basin near the haul-out facilities. The holding is good here in mud in about 10.
Water and fuel are available here.
The city has all the facilities expected in a major centre.
Last updated February 2015.


Recent Work Experience
Frito-Lay Operation Support UI
Solution Architect - Tech Mahindra
March 2021 - Present
Lead solution, architecture and delivery
team
delivering operations support tools for identification and resolution of system issues. This React
based application
in conjunction with a general query micro service enables a user to securly query any application
database with
configurable queries enabling realtime analysis of application data.
Shared Application Partner Management
Platform
IBM HYBRID CLOUD ARCHITECT
September 2019 - March 2021
AT&T PRINCIPAL-SYSTEM ENGINEER
November 2015 - September 2019
Lead technical, system and security
architecture for AT&T Business Device Management Platform (DMP). AT&T DMP provides customer
self
service for enrollment and management of devices. Web application built on Angular and micro
services.
Event based data synchronization between billing systems and device management platform. Integration
between AT&T and partner
OEMs including Apple, Google and Samsung. Supported multiple usecases including Software License
Management, Mobile Device Management
E-Firmware Over The Air (EFOTA) and OEM Device Enrollment Programs.
AT&T Engage
PRINCIPAL-SYSTEM ENGINEER
November 2012 - November 2014
Lead design and development of AT&T
Engage. AT&T Engage provided personalized video and audio generation to enhance online support and
sales.
TDICE and T.Data
SENIOR-TECHNICAL ARCHITECT
November 2013 - February 2016
Lead design and development of AT&T
TDICE. Developed content management for T.Data a predictive analytics personalized recommendation
engine.
Designed a distributed Micro Service interface exposing a synchronous interface from IBM Streams a
unidirectional asynchronous interface.
Digital Life Online Store Front
SENIOR-TECHNICAL ARCHITECT
November 2011 - November 2013
Online Sales for AT&T Digital Life
Designed and Developed new
online Account
Management, Marketing, Ordering and Support applications for AT&T Digital Life. Created a
unique
ordering application integrated with Mobility, Credit, Fulfillment, Billing and Connect Tech
Appointment Scheduling systems. Developed modern mobile first designed websites that enabled
rapid
development and design changes based on CQ5 CMS and custom frameworks integrated with RBMS.
Work Experience
ConnecTech Store Front
SENIOR-TECHNICAL ARCHITECT
March 2011 - November 2011
Online Sales for AT&T On-Site Technical Support Product
Authored Joint Interface
Agreement,metrics solution and implementation plan. Created configuration management process from
development builds
to deployments in all environments using tools such as Hudson, shell scripts and Weblogic Deployer
APIs.
att.net and Insider Portals
SENIOR-TECHNICAL ARCHITECT
August 2010 - March 2011
BellSouth internal and external personalized web portals
Participated in portal technology evaluations.
Evaluated WebSphere Portal, Liferay, Gateln and developed proof of concept for Oracle WebCenter.
Supported application design teamâ€TMs delivery of att.net projects and implementation alternate
delivery process for content creation. Updated Insider portal requirements to reflect current
functionality.
Broadband Ordering and Care
Lead Ordering Architect
January 2007-August 2010
Lead Ordering Architect for SE DSL
Ordering Provide Architectural Direction and Recommendations Developed Application Roadmap and
Rationalization Provide technical consultations General Oversight for SE DSL Corporate Compliance,
Provide technical solution for critical defects, Lead the effort to improve DSL Order flow through,
resulting in a 400% improvement in 1 year. Developed a JavaFX order monitoring application that
supported DSL flow through improvements. Lead Solution Architect for Oracle CRM replacement with
Sterling Multi-Channel Fulfillment (MCF). Lead Solution Architect for AT&T SE broadband for the
NAP project; which integrated BellSouth DSL with Member Profile System.
BellSouth Technology Group (BTG) Customer
Markets
Lead Application Architect (Employee)
August 2005-January 2007
Senior Application Architect (Contract)
August 2004-August 2005
Lead BSS Ordering Architect
Designed, Developed changes
to
Yantra and Informatica applications for Post BBT change requests and defects. Architecture Lead for
BellSouth
Broadband Transformation (BBT) Integrated Order Management (IOM). Responsible for reviewing and
providing feedback on all Accenture deliverables for the BellSouth Customer Contact Transformation
(CCT) Project. Participated as the Customer Markets CIO representative in the BellSouth IT
Architecture Councils, including Technical Architecture, Business Architecture, and Extensible
Architecture
Accenture Wholesale Customer Operations
Tower
Technical Architect
November 2002 - August 2004
Bellsouth Wholesale Architect
ICS WebPortal, Service Order
Review Tool
(SORT), LCSC Toolkit, EASY Participated in J2EE Special Interest Group meetings. Maintained
communication with Architects across towers to ensure that new development initiatives are following
existing and emerging standards at BellSouth. Trained new developers in understanding the design and
architecture of the applications for which they are responsible. Mentored developers on BellSouth
technologies and Architectures. Conducted walkthroughs and peer reviews of developer's design and
code. Participated in PRI, Security and OAD reviews. Provided production support and weekly status
updates.
Accenture BIST Tower
Senior Software Developer
January 2002 - October 2002
Maintained the XMLGateway
application.
Designed and developed changes to support LQS changes. Analyzed error rates to reduce the frequency
from 27% to less than 1%.∫ Designed and analyzed changes to Core Services for Rodeo 1.0 that allowed
discounts for DSL and Dial based on bundled wireless, long distance and wireline packages. Supported
production of Core Services.
Accenture Customer Markets Tower
Senior Software Developer
January 2001-Dec 2002
Data Center Relocation:
Created production
architecture layout and design documents to facilitate the data center move from Tucker to the
Atlanta Internet Center (AIC). Communicated with team members to help coordinate move details and
process plan. eRepair 2.0: Performed development and configuration management of eRepair 2.0.
Reorganized build scripts to ease the deployment. Programmed Simulator, eCID Plus and eRepair
Monitor by reviewing code and refactoring existing code. Small Business Vendor Services (SBVS):
Delivered analysis, design and development of a web application for BellSouth small business vendors
to view customer service record (CSR) information using common business services (CBS) and
administrators to audit user activities.
BellSouth Technology Group
Systems Software Engineer Specialist
October 2000 - Dec. 2001
Developed Wholesale Long
Distance (WSLD)
ordering application based on eLite, an MVC framework. Created 2 design patternsto allow for the
persistence of forms without the need for additional coding. Worked on analysis of Consumer Long
Distance Ordering. Performed development on Small Business Long Distance and EMRS phase 2.
Development was based on Rational Rose UML diagrams. Enhanced logging in the ordering server to
allow for dynamic adjustment of logging levels. Applied for 5 patents for BellSouth 2 related to the
work on WSLD. Completed 8 of Sunâ€TMs Java Learning Program courses. Courses included effective
exception handling, advanced J2EE, JSP/XSLT, Servlets, Swing and Forte IDE. Presented 2
lunch-and-learns relating to new developments in the Java platform, Java Web Start and Java New I/O.
Member of SOA SIG.
Bellsouth Telecommunications
Application Developer/Analyst (Contract)
March 1996 - March 1997
March 1998 - October 2000
Performed full lifecycle
development and
maintenance of Direct Order Entry (DOE) system used daily by BellSouth service representatives.
Designed and developed a Java-based client/server error analysis application for DOE. Designed a
system to emulate the existing system environment and port DOE to another platform. Wrote a
presentation and a prototype (in Java) of the replacement system. Developed C++ and UNIX shell
scripts to aid in application analysis.
PDG Software, Inc.
Application Developer Consultant
Fall of 1999
Created a NetObjects Fusion
plug-in written
in Java for the PDGShopping Cart. The Java program allowed for website authors to drag-and-drop
shopping cart components on to their web pages. The plug-in is being co-marketed by PDGSoft and
NetObjects.
Software Builders International
Application Developer Architect
March 1997 - March 1998
Developed a Java-based ZIP
compression/decompression GUI. NetZIP for Java, certified by SUN Microsystems. Created a prototype
Java multi-platform document viewer. Attended a Java Beans development course, hosted by SUN
Microsystems.


product: quantity: quality: total: product: quantity: quality: total: product: quantity: quality: total: grandtotal:


Abstract OV class with build in calculation functions.
More...
#include <ov.h>
|
| | ovTracker (nfc::NFC &nfc, hwlib::terminal_from &display, hwlib::pin_in &stationPin1, hwlib::pin_in &stationPin2, hwlib::pin_in &stationPin3, hwlib::pin_in &stationPin4, hwlib::pin_in &stationPin5, hwlib::pin_in &stationPin6, hwlib::pin_in &stationPin7, hwlib::pin_in &stationPin8, hwlib::pin_in &modeSelectPin1, hwlib::pin_in &modeSelectPin2, hwlib::pin_in &modeSelectPin3, hwlib::pin_in &modeSelectPin4, float pricePerKilometer, int maxCardbalance, int topUpValue, nfc::mifareCommands AorB, uint8_t valueBlockLocation, uint8_t sectorLocation) |
| | Constructor for the ovTracker class. More...
|
| |
|
virtual void | init ()=0 |
| | This function is used to set up all the required settings for the nfc reader.
|
| |
| virtual void | waitCard ()=0 |
| | This function will wait for a card to be present in the nfc's rf field. More...
|
| |
| virtual void | checkIn (card &cardinfo)=0 |
| | This function is used to checkin a card that has not yet been checked in. More...
|
| |
| virtual void | checkOut (const int index)=0 |
| | This function is used to checkout a card that has already checked in. More...
|
| |
| virtual Mode | getMode ()=0 |
| | This function will read out the 8 GPIO pins to determine the current station. More...
|
| |
| virtual void | setMode (const Mode newMode)=0 |
| | This function will set the mode of apllication. More...
|
| |
| virtual void | getAndSetStation ()=0 |
| | This function is used to get and set a new station. More...
|
| |
| virtual float | calculate_price (const int index)=0 |
| | This function is used to calculate the price of the ride based on distance traveled. More...
|
| |
| virtual bool | validateCard (card &cardinfo)=0 |
| | This fucntion will check wether a card is formatted properly for the application. More...
|
| |
| virtual uint32_t | getBalance (card &cardinfo)=0 |
| | This function will get the current balance of a given card. More...
|
| |
| virtual void | topUp (int incrementValue)=0 |
| | This function is used to top up a cards' balance. More...
|
| |
|
|
nfc::NFC & | nfc |
| |
|
hwlib::terminal_from & | display |
| |
|
hwlib::pin_in & | stationPin1 |
| |
|
hwlib::pin_in & | stationPin2 |
| |
|
hwlib::pin_in & | stationPin3 |
| |
|
hwlib::pin_in & | stationPin4 |
| |
|
hwlib::pin_in & | stationPin5 |
| |
|
hwlib::pin_in & | stationPin6 |
| |
|
hwlib::pin_in & | stationPin7 |
| |
|
hwlib::pin_in & | stationPin8 |
| |
|
hwlib::pin_in & | modeSelectPin1 |
| |
|
hwlib::pin_in & | modeSelectPin2 |
| |
|
hwlib::pin_in & | modeSelectPin3 |
| |
|
hwlib::pin_in & | modeSelectPin4 |
| |
|
float | pricePerKilometer |
| |
|
Station | currentStation |
| |
|
int | maxCardBalance |
| |
|
int | topUpValue |
| |
|
cardBuffer< 5 > | checkinInformation |
| |
|
nfc::mifareCommands | authenticateAorB |
| |
|
uint8_t | valueBlockLocation |
| |
|
uint8_t | sectorLocation |
| |
Abstract OV class with build in calculation functions.
◆ ovTracker()
| ovTracker::ovTracker |
( |
nfc::NFC & |
nfc, |
|
|
hwlib::terminal_from & |
display, |
|
|
hwlib::pin_in & |
stationPin1, |
|
|
hwlib::pin_in & |
stationPin2, |
|
|
hwlib::pin_in & |
stationPin3, |
|
|
hwlib::pin_in & |
stationPin4, |
|
|
hwlib::pin_in & |
stationPin5, |
|
|
hwlib::pin_in & |
stationPin6, |
|
|
hwlib::pin_in & |
stationPin7, |
|
|
hwlib::pin_in & |
stationPin8, |
|
|
hwlib::pin_in & |
modeSelectPin1, |
|
|
hwlib::pin_in & |
modeSelectPin2, |
|
|
hwlib::pin_in & |
modeSelectPin3, |
|
|
hwlib::pin_in & |
modeSelectPin4, |
|
|
float |
pricePerKilometer, |
|
|
int |
maxCardbalance, |
|
|
int |
topUpValue, |
|
|
nfc::mifareCommands |
AorB, |
|
|
uint8_t |
valueBlockLocation, |
|
|
uint8_t |
sectorLocation |
|
) |
| |
Constructor for the ovTracker class.
- Parameters
-
| nfc | pn532 chip class |
| display | Display that can be written to |
| pins | Station/ mode slection pins |
| price | Price per kilometer |
| maxCardBalance | The max balance a card can have |
| topUpValue | The value the card will be topped up with |
| AorB | Wether the user wants to autenticate the sector with keyA or keyB |
| valueBlockLocation | Number of the page where the value block is located |
| sectorLocation | Number of the sector trailer page that needs to be authenticated |
◆ calculate_price()
| virtual float ovTracker::calculate_price |
( |
const int |
index | ) |
|
|
pure virtual |
This function is used to calculate the price of the ride based on distance traveled.
- Parameters
-
| index | Cardindex of the card that the price needs to be calculated for |
- Returns
- float Price of the ride
Implemented in train.
◆ checkIn()
| virtual void ovTracker::checkIn |
( |
card & |
cardinfo | ) |
|
|
pure virtual |
This function is used to checkin a card that has not yet been checked in.
Upon checking in, this function will put the read card in the buffer among with the checkin station
- Parameters
-
| cardinfo | Card class with stored UID |
Implemented in train.
◆ checkOut()
| virtual void ovTracker::checkOut |
( |
const int |
index | ) |
|
|
pure virtual |
This function is used to checkout a card that has already checked in.
Upon checking out, this function will clear the read card from the buffer.
- Parameters
-
| index | Index of where the card info is stored in the array |
Implemented in train.
◆ distance()
| long double ovTracker::distance |
( |
long double |
lat1, |
|
|
long double |
long1, |
|
|
long double |
lat2, |
|
|
long double |
long2 |
|
) |
| |
|
protected |
This function calculates the distance between two stations using the Haversine Formula This code is based on: https://www.geeksforgeeks.org/program-distance-two-points-earth/.
- Author
- Aayush Chaturvedi
- Parameters
-
| lat1 | Latitude of station1 |
| long1 | Longitude of station1 |
| lat2 | Latitude of station2 |
| long2 | Longitude of station2 |
- Returns
- long double Distance between the two stations
◆ getAndSetStation()
| virtual void ovTracker::getAndSetStation |
( |
| ) |
|
|
pure virtual |
This function is used to get and set a new station.
this function changes the internal current station.id member
Implemented in train.
◆ getBalance()
| virtual uint32_t ovTracker::getBalance |
( |
card & |
cardinfo | ) |
|
|
pure virtual |
This function will get the current balance of a given card.
It will do this by converting the 4 byte int value to a 4 byte float value;
- Parameters
-
| cardinfo | card class with stored card information |
Implemented in train.
◆ getMode()
| virtual Mode ovTracker::getMode |
( |
| ) |
|
|
pure virtual |
This function will read out the 8 GPIO pins to determine the current station.
By reading the 8 gpio pins and storing them in a 8 bit value,
- Returns
- Mode the mode the pins are set in
Implemented in train.
◆ setMode()
| virtual void ovTracker::setMode |
( |
const Mode |
newMode | ) |
|
|
pure virtual |
This function will set the mode of apllication.
- Parameters
-
Implemented in train.
◆ topUp()
| virtual void ovTracker::topUp |
( |
int |
incrementValue | ) |
|
|
pure virtual |
This function is used to top up a cards' balance.
- Parameters
-
| incrementValue | value that the balance of valueblock of a mifare classic card needs to be incremented by |
Implemented in train.
◆ toRadians()
| long double ovTracker::toRadians |
( |
long double |
degree | ) |
|
|
protected |
◆ validateCard()
| virtual bool ovTracker::validateCard |
( |
card & |
cardinfo | ) |
|
|
pure virtual |
This fucntion will check wether a card is formatted properly for the application.
- Parameters
-
| cardinfo | card class with stored card information |
- Returns
- true card properly formatted
-
false card not properly formatted
Implemented in train.
◆ waitCard()
| virtual void ovTracker::waitCard |
( |
| ) |
|
|
pure virtual |
This function will wait for a card to be present in the nfc's rf field.
Once a card has been detected, it will call the aproprate function (check in/ check out)
Implemented in train.
The documentation for this class was generated from the following files:
- application/code/headers/ov.h
- application/code/src/ov.cpp


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--- layout: post title: Create a jQuery Twitter plugin from scratch categories: - articles tags: - plugins - jQuery published: true ---
Over the next couple posts in this series I will walk you through building your very own Twitter jQuery plugin from scratch. By the end of this series you will better understand the structure of a jQuery plugin, regular expressions, jQuery optimization, datetime manipulation, and jQuery chaining. Additionally, you will have a working plugin which will grab tweets directly from the twitter api. This is a solution based off something that I have used on a number of sites.
Alright so first we need to build the file structure for our project. I like keeping my work space clean so here is the directory structure I am using with the starting point for index.html.
First you should download the latest version of jQuery and place it into the jquery.js file. You should also create style.css and jquery.tweet.js. Index.html is where we will output our tweet listing, style.css is the layout code, and jquery.tweet.js is our plugin.
{% highlight html %}Now we are ready to start fleshing out the basic plugin structure. Our plugin name will be called Tweet. So lets add our jQuery document ready block and our plugin call.
{% highlight js %} $(document).ready(function(){ $('#tweets').tweet(); }); {% endhighlight %}This will allow our plugin to be attached onto the id selector tweets from index.html and will come in handy later on.
There are a few best practices to keep in mind when creating a new plugin.
I have listed the basic plugin structure below with comments. This will cover the first two best practices.
{% highlight js %}// Wrap the plugin in the jquery dollar sign // This will prevent overriding other methods with // the same name as the plugin // Additionally we can use $ to reference jquery (function($){ // Map the plugin name as a function in jQuery $.fn.tweet = function() { // Allow chaining by returning the this keyword return this.each(function() { // Output a console message to show the plugin // is working console.log('We have called the tweet plugin'); }); }; })(jQuery); {% endhighlight %}At this point we technically have a functional, albeit very basic, jQuery plugin. This will serve as an excellent starting point for future plugin development.
If you notice I included a console.log(); call which sends data to the browser console. In Chrome under developer tools it is the last tab and is super helpful for javascript development. You can output variables, arrays, and even objects in this manner.
Something you might have seen in another jQuery solution is caching of the this keyword. This provides faster processing as you don't need to re-query to dom using jquery since it already exists in memory.
{% highlight js %} var $this = $(this); {% endhighlight %}One thing to note is that this is not necessary inside a jQuery plugin,but is necessary within the return this.each(function() since we are now in the plugin's immediate scope. This is because the plugin is already wrapped in the jQuery object and therefore when you call the keyword this it is already equal to $(this).
The final element I would like to cover before we start on the meat of the plugin, is including support for default and user overridden settings.
Nearly every single plugin has a way for the user to manipulate its settings. Its a great way to provide flexibility and control to users so why not. This will be important later on for determining how many tweets we want to grab and what twitter username we grab from. More simply it will allow us not to hard-code data into our plugin.
To implement default and user settings we first need to include a parameter in the original plugin's mapping. Next we create an array called defaults which will hold the basic values for our plugin. Finally using a little jQuery magic we merge our parameter array (options) into our default array with the $.extend method.
{% highlight js %} // Map the plugin name as a function in jQuery // Pass in the options parameter for overriding defaults $.fn.tweet = function(options) { // Set the default plugin values var defaults = { username: 'the base username', count: 5 }; // Use the jQuery method extend to merge // the defaults and options arrays var options = $.extend({}, defaults, options); }; {% endhighlight %}This will allow the user to change configuration settings by passing in key / value pairs. Try this out by adding console.log(options); where the previous console message was. You should see the output as 5. This is our default value which was merged into the options array.
Now the real power comes in on index.html where we called our plugin on the id selector. Lets add the following user setting to our plugin call and check the console again.
{% highlight html %}Your output should look like the following: Object {username: "the base username", count: 10}. Our default value for the username is listed with our user overridden count value. Pretty slick.
So that's it for the basic plugin development. In the next post I will cover the twitter api, regular expressions, and date manipulation. Continue to next lesson (Coming Soon)


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RECNO
Section: Linux Programmer's Manual (3)
Updated: 2012-04-23
Index
Return to Main Contents
NAME
recno - record number database access method
SYNOPSIS
#include <sys/types.h>
#include <db.h>
DESCRIPTION
Note well:
This page documents interfaces provided in glibc up until version 2.1.
Since version 2.2, glibc no longer provides these interfaces.
Probably, you are looking for the APIs provided by the
libdb
library instead.
The routine
dbopen(3)
is the library interface to database files.
One of the supported file formats is record number files.
The general description of the database access methods is in
dbopen(3),
this manual page describes only the recno-specific information.
The record number data structure is either variable or fixed-length
records stored in a flat-file format, accessed by the logical record
number.
The existence of record number five implies the existence of records
one through four, and the deletion of record number one causes
record number five to be renumbered to record number four, as well
as the cursor, if positioned after record number one, to shift down
one record.
The recno access-method-specific data structure provided to
dbopen(3)
is defined in the
<db.h>
include file as follows:
typedef struct {
unsigned long flags;
unsigned int cachesize;
unsigned int psize;
int lorder;
size_t reclen;
unsigned char bval;
char *bfname;
} RECNOINFO;
The elements of this structure are defined as follows:
- flags
-
The flag value is specified by ORing
any of the following values:
-
- R_FIXEDLEN
-
The records are fixed-length, not byte delimited.
The structure element
reclen
specifies the length of the record, and the structure element
bval
is used as the pad character.
Any records, inserted into the database, that are less than
reclen
bytes long are automatically padded.
- R_NOKEY
-
In the interface specified by
dbopen(3),
the sequential record retrieval fills in both the caller's key and
data structures.
If the
R_NOKEY
flag is specified, the
cursor
routines are not required to fill in the key structure.
This permits applications to retrieve records at the end of files without
reading all of the intervening records.
- R_SNAPSHOT
-
This flag requires that a snapshot of the file be taken when
dbopen(3)
is called, instead of permitting any unmodified records to be read from
the original file.
- cachesize
-
A suggested maximum size, in bytes, of the memory cache.
This value is
only
advisory, and the access method will allocate more memory rather than fail.
If
cachesize
is 0 (no size is specified), a default cache is used.
- psize
-
The recno access method stores the in-memory copies of its records
in a btree.
This value is the size (in bytes) of the pages used for nodes in that tree.
If
psize
is 0 (no page size is specified), a page size is chosen based on the
underlying filesystem I/O block size.
See
btree(3)
for more information.
- lorder
-
The byte order for integers in the stored database metadata.
The number should represent the order as an integer; for example,
big endian order would be the number 4,321.
If
lorder
is 0 (no order is specified), the current host order is used.
- reclen
-
The length of a fixed-length record.
- bval
-
The delimiting byte to be used to mark the end of a record for
variable-length records, and the pad character for fixed-length
records.
If no value is specified, newlines ("\n") are used to mark the end
of variable-length records and fixed-length records are padded with
spaces.
- bfname
-
The recno access method stores the in-memory copies of its records
in a btree.
If
bfname
is non-NULL, it specifies the name of the btree file,
as if specified as the filename for a
dbopen(3)
of a btree file.
The data part of the key/data pair used by the
recno
access method
is the same as other access methods.
The key is different.
The
data
field of the key should be a pointer to a memory location of type
recno_t,
as defined in the
<db.h>
include file.
This type is normally the largest unsigned integral type available to
the implementation.
The
size
field of the key should be the size of that type.
Because there can be no metadata associated with the underlying
recno access method files, any changes made to the default values
(e.g., fixed record length or byte separator value) must be explicitly
specified each time the file is opened.
In the interface specified by
dbopen(3),
using the
put
interface to create a new record will cause the creation of multiple,
empty records if the record number is more than one greater than the
largest record currently in the database.
ERRORS
The
recno
access method routines may fail and set
errno
for any of the errors specified for the library routine
dbopen(3)
or the following:
- EINVAL
-
An attempt was made to add a record to a fixed-length database that
was too large to fit.
BUGS
Only big and little endian byte order is supported.
SEE ALSO
btree(3),
dbopen(3),
hash(3),
mpool(3)
Document Processing in a Relational Database System,
Michael Stonebraker, Heidi Stettner, Joseph Kalash, Antonin Guttman,
Nadene Lynn, Memorandum No. UCB/ERL M82/32, May 1982.
Index
- NAME
-
- SYNOPSIS
-
- DESCRIPTION
-
- ERRORS
-
- BUGS
-
- SEE ALSO
-
This document was created by
man2html,
using the manual pages.
Time: 02:55:02 GMT, September 18, 2014


Image Captioning to Describe Images
Contents
- Introduction
- Model Architecture
- Building Image Caption Generator
- Beam Search
- BLEU Score
Automatically describing the content of an image is a common problem in Artificial Intellligence that connects computer vision and natural language processing. Here we will learn about a generative model based on deep recurrent architecture that combines the recent advancements in computer vision and natural language processing. The model in the end will be able to generate the target description sentence when inputs the image. We will also discuss beam search strategy to get the best caption out of many caption. Also we will learn about BLEU score which is common metric for machine translation tasks.
Here, I will be discussing 'merge' architecture to generate Image Captions which is different from the tradtional views of Image Captioning where image features are 'injected' in the RNN. Please read the following two papers to get understanding of 'injected' architecture.
Vinyals, Oriol, et al. Show and tell: A neural image caption generator. CVPR, 2015.
Xu, Kelvin, et al. Show, attend and tell: Neural image caption generation with visual attention. ICML, 2015.
The idea of 'merge' architecture is taken from the following paper. This is an architecture which is different from the dominant view in the literature. Here, the RNN is viewed as only encoding the previously generated words. This view suggests that the RNN should only be used to encode linguistic features and that only the final representation should be ‘merged’ with the image features at a later stage. Here I it is called 'merge' architecture.
What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator?This architecture keeps the encoding of linguistic and perceptual features separate, merging them in a later multimodal layer, at which point predictions are made. In this type of model, the RNN is functioning primarily as an encoder of sequences of word embeddings, with the visual features merged with the linguistic features in a later, multimodal layer. This multimodal layer is the one that drives the generation process since the RNN never sees the image and hence would not be able to direct the generation process.
In this model, RNN is only used as language model. RNN is feeded the word embeddings of partial caption starting from special token 'seq_start', the RNN then generate encoded representation of partial sequence. While CNN which is generally pretrained for image classification task like imagenet is feeded the image, which gives a image representation of that image. We can use VGG, Inception or resnet as pretrained CNN. These two representation i.e. language feature and image feature are appended together and feeded into another Feed Forward neural network. This Feed Forward Neural Network will output a vector of size equal to size of vocabulary. Index of highest value in that vector represents the next word of caption which is combined with the partial caption and again process continues untill we get the 'seq_end' token from FNN.
Firstly, get a dataset which has image and its corresponding captions. There are many such dataset available online. Some famous ones are flickr8k, flickr30k or Microsoft COCO dataset. We will use flickr8k dataset which is easily available online. It has 8k images with 5 captions for each image.
Now, preprocess these captions like remove non alphabet characters, make everything in lower case, remove dangling characters. After that append sequence start and sequence end word at the begining of caption and at the end. We will use <S> as seq start and </S> as seq end. Now form a dictionary out of all words present in all captions combined which will point out some index. Similary create a reverse dictionary which point word from index. Decide a max length of a sequence which ideally should be equal to number of words in biggest caption.
Now we will build the training dataset. Select a caption, split it, take its first word and pre pad it to length of max sequence length this will be your x and its corresponding target will be second word. Repeat this for max seq length or length of caption, include next word in x and next word as target. Repeat this for all captions. Also remember the corresponding image of that caption.
Example: Caption: <S> red car on road. </S>
Say max seq length is 5
x: [0,0,0,0,<S>] y: red
x: [0,0,0,<S>,red] y: car
x: [0,0,<S>,red,car] y: on
x: [0,<S>,red,car,on] y: road
x: [<S>,red,car,on,road] y: </S>
We will convert our target y to one hot encoded representation and x to seq with words denoted by their index. Now use any pretrained CNN used for image classification task such as imagenet and take out image feature from the last dense layer. Here for example we have used VGG19 and taken out 4096 length image feature from last dense layer. Create a model which take seq as input and use embedding layer to get a embedding of that sequence, we can use pretrained embedding like glove also. Now append this embedding of seq and image feature. And pass it though a feed forward neural network whose last layer is of size of VOCAB. This last layer denotes the probability of each word. Take out the word with highest probability and this will be the next word of seq.
The 'merge' model described above output a probability distribution over each word in the vocabulary for each word in the output sequence. It is then left to a decoder process to transform the probabilities into a final sequence of words. The final layer in the neural network model has one neuron for each word in the output vocabulary and a softmax activation function is used to output a likelihood of each word in the vocabulary being the next word in the sequence. Candidate sequences of words are scored based on their likelihood. It is common to use a greedy search or a beam search to locate candidate sequences of text.
Each individual prediction has an associated score (or probability) and we are interested in output sequence with maximal score (or maximal probability). One popular approximate technique is using greedy prediction, taking the highest scoring item at each stage. While this approach is often effective, it is obviously non-optimal. Indeed, using beam search as an approximate search often works far better than the greedy approach.
Instead of greedily choosing the most likely next step as the sequence is constructed, the beam search expands all possible next steps and keeps the k most likely, where k is a user-specified parameter. At each step, all the successors of all k states are generated. If any one is a goal, the algorithm halts. Otherwise, it selects the k best successors from the complete list and repeats.
Larger beam widths result in better performance of a model as the multiple candidate sequences increase the likelihood of better matching a target sequence. This increased performance results in a decrease in decoding speed. The search process can halt for each candidate separately either by reaching a maximum length, by reaching an end-of-sequence token, or by reaching a threshold likelihood.
Probabilities are small numbers and multiplying small numbers together creates very small numbers. To avoid underflowing the floating point numbers, the natural logarithm of the probabilities are multiplied together, which keeps the numbers larger and manageable. Further, it is also common to perform the search by minimizing the score, therefore, the negative log of the probabilities are multiplied. This final tweak means that we can sort all candidate sequences in ascending order by their score and select the first k as the most likely candidate sequences.
In the above task one solution is to always pick the most probable word and add it to the prefix. This is called a greedy search and is known to not give the optimal solution. The reason is because it might be the case that every combination of words following the best first word might not be as good as those following the second best word. We need to use a more exploratory search than greedy search.
The tree shows a probability tree of which words can follow a sequence of words together with their probabilities. To find the probability of a sentence you multiply every probability in the sentence's path from
One way to do this is to use a breadth first search. Starting from the
The primary programming task for a BLEU implementor is to compare n-grams of the candidate with the n-grams of the reference translation and count the number of matches. These matches are position-independent. The more the matches, the better the candidate translation is. Unfortunately, MT systems can overgenerate “reasonable” words, resulting in improbable, but high-precision, translations. Intuitively the problem is clear: a reference word should be considered exhausted after a matching candidate word is identified. We formalize this intuition as the modified unigram precision.
We first compute the n-gram matches sentence by sentence. Next, we add the clipped n-gram counts for all the candidate sentences and divide by the number of candidate n-grams in the test corpus to compute a modified precision score, pn, for the entire test corpus.
The BLEU metric ranges from 0 to 1. Few translations will attain a score of 1 unless they are identical to a reference translation. For this reason, even a human translator will not necessarily score 1.
NLTK provides the sentence_bleu() function for evaluating a candidate sentence against one or more reference sentences. NLTK also provides a function called corpus_bleu() for calculating the BLEU score for multiple sentences such as a paragraph or a document.
A Discussion on BLEU Score


See the Github page for source code.
javascript configures a single DataLink and then prints lines to the textarea below for each packet as it is received.


By Andrew Hall - @RealAndrewHall
The aim of this presentation is to improve your knowledge of how programming works
You don't need to be scared!
It's not magic
Programming is a list of instructions for the computer
It is like creating a recipe that the computer follows
We will cover the following items:
Variables are just buckets!
They are a place to store something that you will use later and you can update the contents at any time.
You can store lots of different things in a variable - but basically anything you need to know later on in your code.
Examples of Variables:
Here we are creating a new variable called reminder and storing the sentence Variables are buckets inside it.
// create the variable and set the contents
var reminder = "Variables are Buckets";
console.log(reminder);
// outputs "Variables are Buckets"
We can recall the contents of this variable or modify the contents at any time:
// modify the contents of the variable
reminder = "Don't eat yellow snow";
console.log(reminder);
// outputs "Don't eat yellow snow"
We can store all kinds of things inside a variable - in programming terms, these are called types.
You can use variables in many different ways and this often depends on what type of variable you are using.
//create the variable "reminder" and set contents
var reminder = "Don't eat yellow snow";
console.log("Don't forget - " + reminder);
Using an integer (whole number):
//create the variable "appleCount" and set the value
var appleCount = 4;
//if I eat an apple, I will have one less
appleCount = appleCount - 1;
console.log(appleCount);
var name = "James";
console.log("Hello " + name + " - Nice to meet you");
Hello James - Nice to meet youVariables are just like buckets.
You can fill them up, remove things and change their contents just like a bucket.
Functions are pieces of code that perform some logic and then tell you the outcome of that logic.
Functions are sets of instructions to perform a task.
Example: Putting the bins out:
Each of these steps could be a function in their own right too - This way we can use the inner functions elsewhere too.
In the following function, we add the number 4 to the number 8:
//create or declare the function
function add4and8(){
return 4+8;
}
//call the function and put the value into the returnValue variable
var returnValue = add4and8();
console.log(returnValue); // outputs 12
We can call this function anywhere we want to know the value of 4+8:
//call our function and put the value into the variables
var returnValue = add4and8();
var fourPlusEight = add4and8();
console.log(returnValue); //outputs 12
console.log(fourPlusEight); //outputs 12
In this example, we can now calculate the value of 4 and 8.
But what if we want to to know the value of 2 other numbers?
For this, we can use arguments. This allows us to send some data to our function and makes our code more reusable
//create our function with 2 arguments
function addTwoNumbers(numberOne, numberTwo){
return numberOne + numberTwo;
}
//call our function with our arguments
var result = addTwoNumbers(15, 45);
console.log(result); //outputs 60
//call our function with different arguments
var result = addTwoNumbers(11, 677);
console.log(result); //outputs 688
In the real world we use functions where we don't want to duplicate code and where we want to do the same task repeatedly.
//create our function
function calculateVat(amount){
return amount * 0.2;
}
var totalSaleAmount = 10;
var vatAmount = calculateVat(totalSaleAmount);
console.log(vatAmount); //outputs 2
var secondSaleAmount = 41.76;
vatAmount = calculateVat(secondSaleAmount);
console.log(vatAmount); //outputs 8.35
This makes life much easier if the VAT rate changes, as we only have to change the code in one place.
Functions are used for pieces of code that you will reuse.
If you need to modify that set of code, you only need to change it one place.
You reduce duplication of code and therefore reduce the amount of bugs that could be in that code
This is why functions should be broken down into small pieces
We are now going to discuss how to add some logic and conditions to our applications.
There are many scenarios where we want to have different logic or perform different tasks based on certain conditions.
We are used to these kind of things from everyday life:
Example: If today is my birthday, then eat cake.
If it's not my birthday, then cry
//define my birthday
var myBirthday = "23rd February";
var todaysDate = "24th February";
//check if the values are the same
if (myBirthday == todaysDate){
eatCake();
}else{
cry();
}
Switch is just a lot of if statements grouped together.
Example: Write out a welcome message based on which day it is
var today = "Wednesday";
var welcomeMessage;
switch(today){
case "Monday":
welcomeMessage = "5 days until the weekend :(";
break;
case "Tuesday":
welcomeMessage = "4 days until the weekend";
break;
case "Wednesday":
welcomeMessage = "Yay! Its the middle of the week!";
break;
...
}
console.log(welcomeMessage);
Example: While I am hungry, then eat some food
//define how full we are to start
var stomachPercentage = 70;
//define how to work out if we are hungry
function hungry(){
if (stomachPercentage<100){
return true;
}else{
return false;
}
}
//define what happens when we eat food
function eatFood(){
stomachPercentage = stomachPercentage + 10; //add 10 percent when we eat
}
while (hungry()){
//how many times will this run?
eatFood();
}
Example: For each letter I receive, read the letter
//define list of letters
var letterList = ["Bank Letter", "Postcard from Dave", "Junk"];
//iterate through list of letters and call readLetter function on each letter
for (letter in letterList){
readLetter(letter);
}
You can use these statements when you want to apply logic to your code or only do certain pieces of functionality in certain cases.
Whether it is checking a condition with an if statement or processing a list of items with a for loop, these control flow statements give your code structure and allow you to apply your business logic to your code.
In just a short period of time, we have learnt about:
ABOUT THOSE LIES....
Andrew.Hall@comparethemarket.com@RealAndrewHall


Messages are a convenient way to inform users when they accomplish some actions. The markup is very simple, lightweight and highly customizable.
Message headers can have different colors, regarding the type of message you wish to deliver. Available modifiers are .msg-primary
, .msg-secondary
, .msg-accent
, .msg-info
, .msg-success
, .msg-warning
and .msg-danger
.
Sometimes, you will need something that is visually stronger. Icon messages are pefect for that. They feature a big colored icon that you can use to quicly inform the user before he dives into content. Available modifiers to the .icon-msg
are .primary-msg
, .secondary-msg
, .accent-msg
, .info-msg
, .success-msg
, .warning-msg
and .danger-msg
.
Bulkit Toast messages are based on the IziToast jQuery library. The library is very easy to use and to customize. It also offers a lot of options. Check out the plugin documentation for more details about usage. In the following example you can see the available toast positions. Use the position
option to set your toast position.
You can also use toasts to display success or error messages. Izitoast offers built-in messages but you can create your own like in the following example.
The way toasts appear and disappear from the screen can be controlled via options. Use the transitionIn
and the transitionOut
options to define enter and leave animations. Check the plugin documentation for more details.
Detailed API and examples let you customize toasts to exactly fit your needs. The following examples feature an interactive toast, a bubble toast including callbacks and custom layout toast.


|
Total area[2] |
Land area[2] |
Water[2] |
| State/territory |
Rank |
sq mi |
km² |
Rank |
sq mi |
km² |
% land |
Rank |
sq mi |
km² |
% water |
| Alaska |
7000100000000000000♠1 |
665,384.04 |
1,723,337 |
7000100000000000000♠1 |
570,640.95 |
1,477,953 |
7001857600000000000♠85.76% |
7000100000000000000♠1 |
94,743.10 |
245,384 |
7001142400000000000♠14.24% |
| Texas |
7000200000000000000♠2 |
268,596.46 |
695,662 |
7000200000000000000♠2 |
261,231.71 |
676,587 |
7001972600000000000♠97.26% |
7000800000000000000♠8 |
7,364.75 |
19,075 |
7000274000000000000♠2.74% |
| California |
7000300000000000000♠3 |
163,694.74 |
423,967 |
7000300000000000000♠3 |
155,779.22 |
403,466 |
7001951600000000000♠95.16% |
7000600000000000000♠6 |
7,915.52 |
20,501 |
7000484000000000000♠4.84% |
| Montana |
7000400000000000000♠4 |
147,039.71 |
380,831 |
7000400000000000000♠4 |
145,545.80 |
376,962 |
7001989800000000000♠98.98% |
7001260000000000000♠26 |
1,493.91 |
3,869 |
7000102000000000000♠1.02% |
| New Mexico |
7000500000000000000♠5 |
121,590.30 |
314,917 |
7000500000000000000♠5 |
121,298.15 |
314,161 |
7001997600000000000♠99.76% |
7001490000000000000♠49 |
292.15 |
757 |
6999240000000000000♠0.24% |
| Arizona |
7000600000000000000♠6 |
113,990.30 |
295,234 |
7000600000000000000♠6 |
113,594.08 |
294,207 |
7001996500000000000♠99.65% |
7001480000000000000♠48 |
396.22 |
1,026 |
6999350000000000000♠0.35% |
| Nevada |
7000700000000000000♠7 |
110,571.82 |
286,380 |
7000700000000000000♠7 |
109,781.18 |
284,332 |
7001992800000000000♠99.28% |
7001360000000000000♠36 |
790.65 |
2,048 |
6999720000000000000♠0.72% |
| Colorado |
7000800000000000000♠8 |
104,093.67 |
269,601 |
7000800000000000000♠8 |
103,641.89 |
268,431 |
7001995700000099999♠99.57% |
7001440000000000000♠44 |
451.78 |
1,170 |
6999430000000000000♠0.43% |
| Oregon |
7000900000000000000♠9 |
98,378.54 |
254,799 |
7001100000000000000♠10 |
95,988.01 |
248,608 |
7001975700000099999♠97.57% |
7001200000000000000♠20 |
2,390.53 |
6,191 |
7000243000000000000♠2.43% |
| Wyoming |
7001100000000000000♠10 |
97,813.01 |
253,335 |
7000900000000000000♠9 |
97,093.14 |
251,470 |
7001992600000000000♠99.26% |
7001370000000000000♠37 |
719.87 |
1,864 |
6999740000000000000♠0.74% |
| Michigan |
7001110000000000000♠11 |
96,713.51 |
250,487 |
7001220000000000000♠22 |
56,538.90 |
146,435 |
7001584600000000000♠58.46% |
7000200000000000000♠2 |
40,174.61 |
104,052 |
7001415400000000000♠41.54% |
| Minnesota |
7001120000000000000♠12 |
86,935.83 |
225,163 |
7001140000000000000♠14 |
79,626.74 |
206,232 |
7001915900000000000♠91.59% |
7000900000000000000♠9 |
7,309.09 |
18,930 |
7000841000000000000♠8.41% |
| Utah |
7001130000000000000♠13 |
84,896.88 |
219,882 |
7001120000000000000♠12 |
82,169.62 |
212,818 |
7001967900000000000♠96.79% |
7001170000000000000♠17 |
2,727.26 |
7,064 |
7000321000000000000♠3.21% |
| Idaho |
7001140000000000000♠14 |
83,568.95 |
216,443 |
7001110000000000000♠11 |
82,643.12 |
214,045 |
7001988900000000000♠98.89% |
7001330000000000000♠33 |
925.83 |
2,398 |
7000111000000000000♠1.11% |
| Kansas |
7001150000000000000♠15 |
82,278.36 |
213,100 |
7001130000000000000♠13 |
81,758.72 |
211,754 |
7001993700000000000♠99.37% |
7001420000000000000♠42 |
519.64 |
1,346 |
6999630000000000000♠0.63% |
| Nebraska |
7001160000000000000♠16 |
77,347.81 |
200,330 |
7001150000000000000♠15 |
76,824.17 |
198,974 |
7001993200000099999♠99.32% |
7001410000000000000♠41 |
523.64 |
1,356 |
6999680000000000000♠0.68% |
| South Dakota |
7001170000000000000♠17 |
77,115.68 |
199,729 |
7001160000000000000♠16 |
75,811.00 |
196,350 |
7001983100000000000♠98.31% |
7001290000000000000♠29 |
1,304.68 |
3,379 |
7000169000000000000♠1.69% |
| Washington |
7001180000000000000♠18 |
71,297.95 |
184,661 |
7001200000000000000♠20 |
66,455.52 |
172,119 |
7001932100000099999♠93.21% |
7001110000000000000♠11 |
4,842.43 |
12,542 |
7000679000000000000♠6.79% |
| North Dakota |
7001190000000000000♠19 |
70,698.32 |
183,108 |
7001170000000000000♠17 |
69,000.80 |
178,711 |
7001976000000000000♠97.60% |
7001240000000000000♠24 |
1,697.52 |
4,397 |
7000240000000000000♠2.40% |
| Oklahoma |
7001200000000000000♠20 |
69,898.87 |
181,037 |
7001190000000000000♠19 |
68,594.92 |
177,660 |
7001981300000000000♠98.13% |
7001300000000000000♠30 |
1,303.95 |
3,377 |
7000187000000000000♠1.87% |
| Missouri |
7001210000000000000♠21 |
69,706.99 |
180,540 |
7001180000000000000♠18 |
68,741.52 |
178,040 |
7001986100000000000♠98.61% |
7001320000000000000♠32 |
965.47 |
2,501 |
7000138990000099999♠1.39% |
| Florida |
7001220000000000000♠22 |
65,757.70 |
170,312 |
7001260000000000000♠26 |
53,624.76 |
138,887 |
7001815500000000000♠81.55% |
7000300000000000000♠3 |
12,132.94 |
31,424 |
7001184500000000000♠18.45% |
| Wisconsin |
7001230000000000000♠23 |
65,496.38 |
169,635 |
7001250000000000000♠25 |
54,157.80 |
140,268 |
7001826900000000000♠82.69% |
7000400000000000000♠4 |
11,338.57 |
29,367 |
7001173109999900000♠17.31% |
| Georgia |
7001240000000000000♠24 |
59,425.15 |
153,910 |
7001210000000000000♠21 |
57,513.49 |
148,959 |
7001967800000000000♠96.78% |
7001220000000000000♠22 |
1,911.66 |
4,951 |
7000322000000000000♠3.22% |
| Illinois |
7001250000000000000♠25 |
57,913.55 |
149,995 |
7001240000000000000♠24 |
55,518.93 |
143,793 |
7001958700000000000♠95.87% |
7001190000000000000♠19 |
2,394.62 |
6,202 |
7000413000000000000♠4.13% |
| Iowa |
7001260000000000000♠26 |
56,272.81 |
145,746 |
7001230000000000000♠23 |
55,857.13 |
144,669 |
7001992600000000000♠99.26% |
7001450000000000000♠45 |
415.68 |
1,077 |
6999740000000000000♠0.74% |
| New York |
7001270000000000000♠27 |
54,554.98 |
141,297 |
7001300000000000000♠30 |
47,126.40 |
122,057 |
7001863800000000000♠86.38% |
7000700000000000000♠7 |
7,428.58 |
19,240 |
7001136200000099999♠13.62% |
| North Carolina |
7001280000000000000♠28 |
53,819.16 |
139,391 |
7001290000000000000♠29 |
48,617.91 |
125,920 |
7001903400000000000♠90.34% |
7001100000000000000♠10 |
5,201.25 |
13,471 |
7000966000000000000♠9.66% |
| Arkansas |
7001290000000000000♠29 |
53,178.55 |
137,732 |
7001270000000000000♠27 |
52,035.48 |
134,771 |
7001978500000000000♠97.85% |
7001310000000000000♠31 |
1,143.07 |
2,961 |
7000215000000000000♠2.15% |
| Alabama |
7001300000000000000♠30 |
52,420.07 |
135,767 |
7001280000000000000♠28 |
50,645.33 |
131,171 |
7001966100000000000♠96.61% |
7001230000000000000♠23 |
1,774.74 |
4,597 |
7000339000000000000♠3.39% |
| Louisiana |
7001310000000000000♠31 |
52,378.13 |
135,659 |
7001330000000000000♠33 |
43,203.90 |
111,898 |
7001824800000000000♠82.48% |
7000500000000000000♠5 |
9,174.23 |
23,761 |
7001175200000000000♠17.52% |
| Mississippi |
7001320000000000000♠32 |
48,431.78 |
125,438 |
7001310000000000000♠31 |
46,923.27 |
121,531 |
7001968900000000000♠96.89% |
7001250000000000000♠25 |
1,508.51 |
3,907 |
7000311000000000000♠3.11% |
| Pennsylvania |
7001330000000000000♠33 |
46,054.35 |
119,280 |
7001320000000000000♠32 |
44,742.70 |
115,883 |
7001971500000000000♠97.15% |
7001280000000000000♠28 |
1,311.64 |
3,397 |
7000285000000000000♠2.85% |
| Ohio |
7001340000000000000♠34 |
44,825.58 |
116,098 |
7001350000000000000♠35 |
40,860.69 |
105,829 |
7001911500000000000♠91.15% |
7001140000000000000♠14 |
3,964.89 |
10,269 |
7000885000000000000♠8.85% |
| Virginia |
7001350000000000000♠35 |
42,774.93 |
110,787 |
7001360000000000000♠36 |
39,490.09 |
102,279 |
7001923200000099999♠92.32% |
7001150000000000000♠15 |
3,284.84 |
8,508 |
7000768000000000000♠7.68% |
| Tennessee |
7001360000000000000♠36 |
42,144.25 |
109,153 |
7001340000000000000♠34 |
41,234.90 |
106,798 |
7001978400000000000♠97.84% |
7001350000000000000♠35 |
909.36 |
2,355 |
7000216000000000000♠2.16% |
| Kentucky |
7001370000000000000♠37 |
40,407.80 |
104,656 |
7001370000000000000♠37 |
39,486.34 |
102,269 |
7001977200000000000♠97.72% |
7001340000000000000♠34 |
921.46 |
2,387 |
7000227990000099999♠2.28% |
| Indiana |
7001380000000000000♠38 |
36,419.55 |
94,326 |
7001380000000000000♠38 |
35,826.11 |
92,789 |
7001983700000000000♠98.37% |
7001390000000000000♠39 |
593.44 |
1,537 |
7000162990000000000♠1.63% |
| Maine |
7001390000000000000♠39 |
35,379.74 |
91,633 |
7001390000000000000♠39 |
30,842.92 |
79,883 |
7001871800000000000♠87.18% |
7001120000000000000♠12 |
4,536.82 |
11,750 |
7001128200000000000♠12.82% |
| South Carolina |
7001400000000000000♠40 |
32,020.49 |
82,933 |
7001400000000000000♠40 |
30,060.70 |
77,857 |
7001938800000000000♠93.88% |
7001210000000000000♠21 |
1,959.79 |
5,076 |
7000612000000000000♠6.12% |
| West Virginia |
7001410000000000000♠41 |
24,230.04 |
62,756 |
7001410000000000000♠41 |
24,038.21 |
62,259 |
7001992100000099999♠99.21% |
7001500000000000000♠50 |
191.83 |
497 |
6999790000000000000♠0.79% |
| Maryland |
7001420000000000000♠42 |
12,405.93 |
32,131 |
7001420000000000000♠42 |
9,707.24 |
25,142 |
7001782500000000000♠78.25% |
7001180000000000000♠18 |
2,698.69 |
6,990 |
7001217500000000000♠21.75% |
| Hawaii |
7001430000000000000♠43 |
10,931.72 |
28,313 |
7001470000000000000♠47 |
6,422.63 |
16,635 |
7001587500000000000♠58.75% |
7001130000000000000♠13 |
4,509.09 |
11,678 |
7001412500000000000♠41.25% |
| Massachusetts |
7001440000000000000♠44 |
10,554.39 |
27,336 |
7001450000000000000♠45 |
7,800.06 |
20,202 |
7001739000000000000♠73.90% |
7001160000000000000♠16 |
2,754.33 |
7,134 |
7001261000000000000♠26.10% |
| Vermont |
7001450000000000000♠45 |
9,616.36 |
24,906 |
7001430000000000000♠43 |
9,216.66 |
23,871 |
7001958400000000000♠95.84% |
7001460000000000000♠46 |
399.71 |
1,035 |
7000416000000000000♠4.16% |
| New Hampshire |
7001460000000000000♠46 |
9,349.16 |
24,214 |
7001440000000000000♠44 |
8,952.65 |
23,187 |
7001957600000000000♠95.76% |
7001470000000000000♠47 |
396.51 |
1,027 |
7000424000000000000♠4.24% |
| New Jersey |
7001470000000000000♠47 |
8,722.58 |
22,591 |
7001460000000000000♠46 |
7,354.22 |
19,047 |
7001843100000000000♠84.31% |
7001270000000000000♠27 |
1,368.36 |
3,544 |
7001156900000000000♠15.69% |
| Connecticut |
7001480000000000000♠48 |
5,543.41 |
14,357 |
7001480000000000000♠48 |
4,842.36 |
12,542 |
7001873500000000000♠87.35% |
7001380000000000000♠38 |
701.06 |
1,816 |
7001126500000000000♠12.65% |
| Delaware |
7001490000000000000♠49 |
2,488.72 |
6,446 |
7001490000000000000♠49 |
1,948.54 |
5,047 |
7001782900000000000♠78.29% |
7001400000000000000♠40 |
540.18 |
1,399 |
7001217100000000000♠21.71% |
| Rhode Island |
7001500000000000000♠50 |
1,544.89 |
4,001 |
7001500000000000000♠50 |
1,033.81 |
2,678 |
7001669200000000000♠66.92% |
7001430000000000000♠43 |
511.07 |
1,324 |
7001330800000000000♠33.08% |
| District of Columbia |
7002100000000000000♠ |
68.34 |
177 |
7002100000000000000♠ |
61.05 |
158 |
7001893300000000000♠89.33% |
7002100000000000000♠ |
7.29 |
19 |
7001106700000000000♠10.67% |
| Puerto Rico |
7002100000000000000♠ |
5,324.84 |
13,791 |
7002100000000000000♠ |
3,423.78 |
8,868 |
7001643000000000000♠64.30% |
7002100000000000000♠ |
1,901.07 |
4,924 |
7001357000000000000♠35.70% |
| Northern Mariana Islands |
7002100000000000000♠ |
1,975.57 |
5,117 |
7002100000000000000♠ |
182.33 |
472 |
7000923000000000000♠9.23% |
7002100000000000000♠ |
1,793.24 |
4,644 |
7001907700000000000♠90.77% |
| United States Virgin Islands |
7002100000000000000♠ |
732.93 |
1,898 |
7002100000000000000♠ |
134.32 |
348 |
7001183309999999999♠18.33% |
7002100000000000000♠ |
598.61 |
1,550 |
7001816700000000000♠81.67% |
| American Samoa |
7002100000000000000♠ |
581.05 |
1,505 |
7002100000000000000♠ |
76.46 |
198 |
7001131600000000000♠13.16% |
7002100000000000000♠ |
504.60 |
1,307 |
7001868400000000000♠86.84% |
| Guam |
7002100000000000000♠ |
570.62 |
1,478 |
7002100000000000000♠ |
209.80 |
543 |
7001367700000000000♠36.77% |
7002100000000000000♠ |
360.82 |
935 |
7001632300000000000♠63.23% |
| Minor Outlying Islands[3][a] |
7002100000000000000♠ |
16.00 |
41 |
7002100000000000000♠ |
16.00 |
41 |
— |
7002100000000000000♠ |
— |
— |
— |
| Contiguous United States |
Total |
3,120,426.47 |
8,081,867 |
7002100000000000000♠ |
2,954,841.42 |
7,653,004 |
7001946900000000000♠94.69% |
7002100000000000000♠ |
165,584.6 |
428,862 |
7000530990000099999♠5.31% |
| 50 states and D.C. |
Total |
3,796,742.23 |
9,833,517 |
7002100000000000000♠ |
3,531,905.43 |
9,147,593 |
7001930200000000000♠93.02% |
7002100000000000000♠ |
264,836.79 |
685,924 |
7000698000000000000♠6.98% |
| All U.S. territory |
Total |
3,805,943.26 |
9,857,348 |
7002100000000000000♠ |
3,535,948.12 |
9,158,064 |
7001929100000000000♠92.91% |
7002100000000000000♠ |
269,995.13 |
699,284 |
7000709000000000000♠7.09% |


| car-defunct {car} | R Documentation |
These functions are were deprecated in 2009 and are now defunct.
av.plot(...) av.plots(...) box.cox(...) bc(...) box.cox.powers(...) box.cox.var(...) box.tidwell(...) cookd(...) confidence.ellipse(...) ceres.plot(...) ceres.plots(...) cr.plot(...) cr.plots(...) data.ellipse(...) durbin.watson(...) levene.test(...) leverage.plot(...) leverage.plots(...) linear.hypothesis(...) ncv.test(...) outlier.test(...) qq.plot(...) skewPower(...) spread.level.plot(...)
... |
pass arguments down. |
av.plot
and av.plots
are replaced by avPlot
and avPlots
functions.
box.cox
and bc
are now replaced by bcPower
.
box.cox.powers
is replaced by powerTransform
.
box.cox.var
is replaced by boxCoxVariable
.
box.tidwell
is replaced by boxTidwell
.
cookd
is replaced by cooks.distance
in the stats package.
confidence.ellipse
is replaced by confidenceEllipse
.
ceres.plot
and ceres.plots
are now replaced by the ceresPlot
and ceresPlots
functions.
cr.plot
and cr.plots
are now replaced by the crPlot
and crPlots
functions.
data.ellipse
is replaced by dataEllipse
.
durbin.watson
is replaced by durbinWatsonTest
.
levene.test
is replaced by leveneTest
function.
leverage.plot
and leverage.plots
are now replaced by the leveragePlot
and leveragePlots
functions.
linear.hypothesis
is replaced by the linearHypothesis
function.
ncv.test
is replaced by ncvTest
.
outlier.test
is replaced by outlierTest
.
qq.plot
is replaced by qqPlot
.
skewPower
is replaced by bcnPower
.
spread.level.plot
is replaced by spreadLevelPlot
.


NO.
We can not. If per chance we could, the definition would vary
from individual to individual.
It is rightly said, Dance is a feeling.
Dance is a language of the souls. Dance is where infinity resides.
Dance is an emotion.
Its definition can certainly not be
penned down in words.
| Dancers | Links |
|---|---|
| Matt Steffanina | link1 |
| Dana Alexa | link2 |
| Olivia Gonzales | link3 |
| Madhuri Dixit | link4 |
| Montana Tucker | link5 |
Here is an IFRAME to my own YouTube video ;)
Click here to move to the table.
Enter your name:
Select your favorite:


--- layout: base title: ryan bonick :: projects permalink: /projects.html categories: projects ---
{{ page.description }}


Module: ActiveRecord::MessagePack
Do not use. This module is for internal use only.
| Relationships & Source Files | |
| Namespace Children | |
|
Modules:
| |
|
Classes:
| |
| Defined in: | activerecord/lib/active_record/message_pack.rb |
Constant Summary
-
FORMAT_VERSION =
# File 'activerecord/lib/active_record/message_pack.rb', line 51
Class Method Summary
Class Method Details
.dump(input)
[ GitHub ]# File 'activerecord/lib/active_record/message_pack.rb', line 8
def dump(input) encoder = Encoder.new [FORMAT_VERSION, encoder.encode(input), encoder.entries] end
.load(dumped)
[ GitHub ]# File 'activerecord/lib/active_record/message_pack.rb', line 13
def load(dumped) format_version, top_level, entries = dumped unless format_version == FORMAT_VERSION raise "Invalid format version: #{format_version.inspect}" end Decoder.new(entries).decode(top_level) end


Great E2E testing with Cypress - you will love writing tests
after this
Great E2E testing with Cypress - you will love writing tests
after this
Great E2E testing with Cypress - you will love writing tests
after this
Great E2E testing with Cypress - you will love writing tests
after this


@(employeeForm: Form[models.users.Employee], addressForm: Form[models.users.Address], user: models.users.User)
@import helper._
@main("Add Employee",user){
Add a new Employee
@form(action=routes.EmployeeController.addEmployeeSubmit(), 'class -> "form-horizontal", 'role -> "form",
'method -> "POST", 'enctype -> "multipart/form-data"){
@CSRF.formField
@form(action=routes.EmployeeController.addEmployeeSubmit(), 'class -> "form-horizontal", 'role -> "form",
'method -> "POST", 'enctype -> "multipart/form-data"){
@CSRF.formField
@select(
employeeForm("department.id"),
options(users.Department.options),
'_label -> "Department", '_default -> "-- Choose a department --",
'_showConstraints -> false, 'class -> "form-control"
)
@inputText(employeeForm("email"), '_label -> "Email", 'class -> "form-control")
@inputText(employeeForm("email"), '_label -> "", 'hidden -> "hidden")
@inputText(employeeForm("name"), '_label -> "Name", 'class -> "form-control")
@inputText(employeeForm("role").copy(value=Some("employee")), '_label -> "", 'hidden -> "hidden")
@inputText(employeeForm("password"), '_label -> "Password", 'class -> "form-control")
@inputText(addressForm("street1"), '_label -> "Address 1:", 'class -> "form-control")
@inputText(addressForm("street2"), '_label -> "Address 2:", 'class -> "form-control")
@inputText(addressForm("town"), '_label -> "Town", 'class -> "form-control")
@inputText(addressForm("postCode"), '_label -> "Post Code", 'class -> "form-control")
Projects
}
}
}


--- title: CERAMIC subtitle: Tiles, on a Roof, in Los Angeles. section_id: work category_id: architecture project_id: dopium type: built year: 2018 for: dopium LA site: los angeles team: benzi rodman, anna herman images: - link: /images/architecture/dopium/dopium_1.jpg - link: /images/architecture/dopium/dopium_2.jpg - link: /images/architecture/dopium/dopium_3.jpg ---
1
KEN PRICE, HOME DEPOT
In the spring of 2017, Benzi, Anna, and I took an elective class on ceramics, as a much-needed counterbalance to and respite from the intesity of thesis. With emphasis on material studies and form fabrication, we quickly became fascinated by the extreme differences in cost, labor, and percieved artistic value of ceramic objects occupying the two ends of the consumer spectrum, despite the underlying similarity of material.
1.01Price and Pricelessness
On one side sits the glossy, dappled, suggestively amorphous solid clay sculptures of native Angeleno Ken Price, their bespoke finishes produced through the time-intensive, labor-intensive process of hand sanding dozens of layers of meticulously applied acrylic and lacquer, with a sticker price falling upwards of $200,000. On the other, made in mass and bought in bulk, unscrupulously generic and ubiquitously deployed, lie your terracotta roof tiles, Spanish S, readily available for $4.72 per square foot at Home Depot.
At a trading rate by weight at 5-8 tiles per sculpture, does the additive cultural and consumer value of Price's sculptures really appreciate the underlying ceramic material by 1000%? The sculptural object - complex in form but simplistic in its 'assembly' from a single block of clay - is perfect foil to the Spanish tile's standardized shape in a comprehensive catalogue of specific parts. For every gabled intersection, ridge joint, dormer window, exhaust pipe, and end cap condition there is a tile. Their extruded forms are functionally driven and assembled over conventional roofs: an underlying methodology of construction that leaves room for the exuberance of expression captured in Price's sculptural works without compromising the tectonic performance of standardized production.
1.02Ready-to-Build, Fall/Winter 2017
To us, a Ken Price x Home Depot collaboration would see the rules, regulations, and dimensions of tile construction re-imagined for curved roofs that approach their own bespoke sculptural quality at distance, on the scale of the assembly rather than the clay unit. Without changing the standardized production of the terracotta S tiles, which are extruded from a milled plastic die and cut into fixed lengths, we allow for a small consistent angle deviations in how the tiles overlap when they are nailed together. Propagated over several rows, the points at which these tiles are fixed can be extrapolated into curves which describe a ruled surface. The punchline becomes a structural moiré, where the skewed grid of the substrate to which the tiles are affixed is then layered obliquely across their supporting beams, obfuscating the construction logic of the overall assembly. This system of tile to substrate to beam is flexible enough to accomodate a range of ruled and flat surface variations, capable of generating an entire taxonomy of roof-objects.
In ceramic roof construction, forms are limited by the complexity of standardized tiles and the assembly of their scaffolding. They are particularly good at cladding gabled roofs, as they are just tilted planes. However, there exist singly-curved geometries such as conic turrets and cylindrical barrel vaults, which can be undrolled into courses without distortion. This project exploits the combination of flat to singly-curved geodesic surfaces while using an "off-the-shelf" building technique: an assembly of linear beams and curvilinear ribs which are spaced for diagonally- coursing tiles.
1.03Abrasive Actions
"Price carefully begins to sand the surface of the painted sculpture. As the sandpaper removes the paint from the high points of grog, the first buried color appears. Further sanding reveals deeper layers of the stratified paint. Violet surrounds orange, which surrounds blue - all at a jewel-like scale. Price sands an area down to a point where the color array seems right and then proceeds to sand down every square inch of the piece to exactly the same layer. The result is a modulated array of colors that seems to have emerged through a natural, non-human process."
Price laboriously prepares the surfaces of his sculptures with a variety of instruments, resembling dental tools, before sponging down the clay to reveal hard bits of ceramic. Each sculpture is coated in about fourteen layers of acrylic, which in combination with the grog reveal varying gradations of color schemes when sanded. Our low-fi finish simplifies this process into 5 coats of underglaze in cyclical order, so that similar hues are at times adjacent and at times sandwiching brighter complimentary colors, to enhance each tile's depth and vibrance in an Albersian mode of changing the perception of a hue simply by virtue of shifting its neighboring color context. The top layer is dominant in the scheme, with the secondary layer as the main highlight color that is exposed during the sanding process. Each color thereafter adds subtle contrasting tones to these top two layers.
Without the curved surface geometry of Price's sculptural forms to reveal subtle variations in color erasure, we settled on fast-paced process of spot-sanding multiple tiles simultaneously with a sand blaster. On the level of the assembly, metaball scripts produce many variations that emulate the voluptuousness of Price's sculptures and replicate the mottled effect on a macro level.
2
ONE NIGHT ONLY
The second inaugural Dopium LA event, thematically titled ["DIMENSIONS"], was a one night only multi-sensory art exhibition at the A + D Museum in downtown LA. Originally marked for the Mandarin Plaza in Chinatown, the brief called for a site-specific showcase of cultural experiences and stories that have informed our foundations as artists. Our project, already inheriting from the built typology of the Spanish Colonial Revival style and the Los Angeles ceramic art movement, turned to the iconic tiling of Chinatown roofs and their neon-emblazoned gateways to set the scene for Dopium LA.
2.01Chinatown Colonial
Chinatown as we see it today was the playground and product of Hollywood set designers in the 1930s, intentionally flat in its architectural expression and saturated with the mise en scène of eastern exoticism. Through the decades, these shallow copies of traditional vernacular began to adopt a language of their own through various permutations of form and finish, with blazing neon silhouettes running along curved ang beaks and ridged ceramic tiles, each serving as pure ornament against a backdrop of stylized facades. It is this spirit of vernacular expression - one that is protean, one-dimensional, and impermanent by nature - in which we find discourse.
We want to mine these influences to offer future narratives for the rich appliqué of ceramics across the built environment. From the terracotta roofs of Spanish Colonial Revival homes, to their geometric and colorful transformations across Chinatown, mixed in with the finish techniques of LA-based ceramics artist Ken Price, we hope to layer these methods of both high and low cultural production to forge new conversations between the surrounding tiled roofs and a more comprehensive understanding of their sources. As a cross section of Southern California aesthetic traditions, our prototype borrows these techniques to create a more synthetic vernacular expression in the Mandarin Plaza.
2.02Ceramic Scenes
As a group of designers, we are attuned to the imaginative potential of these forms and the make-believe environments they evoke. Our proposal, originally slated to sit on the roof of an adjacent building, found its home slumped over a seating bench in a domesticated scene that emphasized mood through lighting as day turned into one night only at A + D.


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| msg (version 1.11) | index /home/meurer/ACS/Pipeline/Apsis/apsis-4.2.4/python/utils/msg.py |
License
=======
Copyright (c) 2009, The Johns Hopkins University
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer. Redistributions in binary
form must reproduce the above copyright notice, this list of conditions and
the following disclaimer in the documentation and/or other materials provided
with the distribution. Neither the name of the Johns Hopkins University nor
the names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.

(This license is based on the BSD license
http://www.opensource.org/licenses/bsd-license.html)
| Modules | ||||||
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| StringTypes = (<type 'str'>, <type 'unicode'>) __author__ = 'Ken Anderson<EMAIL_ADDRESS>__version__ = '1.11' __version_date__ = '2004/10/18 22:32:44' apsis_release = '1.11' |
| Author | ||
| Ken Anderson<EMAIL_ADDRESS>|


Class Config
ApiAxle\Config class encapsulates common configuration settings for calling ApiAxle apis
Author: Phillip Shipley<EMAIL_ADDRESS>Located at src/ApiAxle/Shared/Config.php
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Load configuration from default config file unless alternate file is specified |
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ApiAxle endpoing url |
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ApiAxle API key |
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ApiAxle API shared secret for signing requests |
protected
boolean
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$ssl_verifypeer | true |
#
Enable/Disable verification of peer certificate when calling API |
protected
string
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$ssl_cainfo | null |
#
Additional config for cURL providing alternative CA certificate info. The name of a file holding one or more certificates to verify the peer with. Requires absolute path. Use this option alongside CURLOPT_SSL_VERIFYPEER. |
protected
string
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$ssl_capath | null |
#
Additional config for cURL providing alternative CA certificate path. A directory that holds multiple CA certificates. Use this option alongside CURLOPT_SSL_VERIFYPEER. |
protected
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Enable/disable usage of a proxy server |
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$proxy_host |
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Set proxy server hostname |
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Set proxy server port |


The best Lampredotto in town...
Lluís DomingoOur Sandwiches
* These sandwich images are not representing the real panino co i' lampredotto. They are sandwich images found in Unsplash .
Our Story
Lampredotto is a typical Florentine dish, made from the fourth and final stomach of a cow, the abomasum.
Lampredotto is derived from the Italian word for lamprey eels, lampreda, as the tripe resembles a lamprey in shape and color.
A sandwich with lampredotto —
panino co i' lampredotto
— has been described as a "classic Florentine" sandwich
and is a traditional regional street food in Florence.
Lampredotto is typically chopped,
slow-cooked in a vegetable broth, seasoned with herbs,
and served on a bread roll.
It is often topped with a spicy sauce
or a green sauce (salsa verde).
Source Wikipedia
Join our newsletter and stay connected on our new amazing sandwiches!


spaghetti pasta in a ground beef, mushroom & tomato sauce, with parmesan cheese.
angel hair pasta with lite marinara sauce, fresh chopped tomatoes, basil, garlic & extra virgin olive oil.
pasta tubes with pancetta, caramelized onions, a touch of vodka, fresh tomato cream sauce.
pasta shells with sliced chicken breast, fresh broccoli, sun dried tomatoes & roasted garlic in a creamy chicken broth sauce.
home-made fettucine pasta with a creamy alfredo sauce & parmesan cheese.
with chicken....... $12.95
with shrimp....... $14.95


{% extends "app/layout.html" %} {% block content %}
Hey,you can't access.
There's something wrong with what you entered!


{% extends "main_app/common.html" %} {% load static %} {% block content %}
Create contacts of your trustworthy people who can help you when you need their help in any emergency.
They will get notify when you are in danger!!
Note : Your mobile number must include your country code such as +91, and must not contain spaces.


In many industrial and academic data analytical applications, huge amount of structured data is
stored as wide two-dimension tables in columnar file formats on HDFS. Popular columnar file formats,
including RC File, ORC, Parquet and Carbondata, are widely supported in data analytical systems over
HDFS such as Hive, Spark, Presto and Impala.
These file formats partition the data into row groups and place data inside a row group in columnar
manner. A row group is stored in an HDFS block. This is an efficient way for that it introduces most
advantages of column store into Hadoop ecosystem without affecting parallelism, scalability and
fault-tolerance.
With these file formats, tables on HDFS are becoming very wide, from a few hundred columns to tens
of thousands. Wide Table has some important advantages:
Join Cost Saving: distributed joins are very expensive in HDFS environment. With wide
tables, distributed joins are no longer needed.
Easy Schema Modification: new workloads and new schema requirements are emerging everyday.
Adding new fields to a wide table is much easier than redesigning the schema following
normal forms.
Application Friendly: new data features can be added to the table as a set of new fields
without interrupting or modifying running applications.
Although everything looks good having the wide tables stored as columnar formats on HDFS, the I/O
efficiency and query performance are far from optimal.
In an experimental example, given a 400GB, 1187-column table stored as Parquet in a single node
HDFS. The read bandwidth of HDFS is 100MB/s. A query took 907 seconds to read 8 columns (0.3% data,
i.e. 1.2GB) from the table. While ideally, it should take only 12 seconds.
Such a huge gap between ideal and reality is caused by disk seeks. The columns read by a query may
not be continuous on disk so that seek cost becomes the major part of I/O cost.
Rainbow is an ETL tool which ADAPTIVELY improve the I/O performance HDFS column stores by
reducing the disk seek costs. User can interact with Rainbow to monitor the optimization process in
an ETL pipeline.
Key Features
Rainbow enables users to improve the I/O performance of wide tables stored in
columnar formats on HDFS. Here are the key features of Rainbow:
Interactive Pipeline Creation Interface.
Rainbow users can directly Rainbow users can directly create a pipeline.
Understandable Visual Comparison Interface. With estimated performance and
validated performance, the web page shows clearly the different effects of current and
optimized layout strategy.
Adaptively Optimizations. In addition to changing layout strategy for
current layout, rainbow runs a host of parallel optimization to change the layout
adaptively for giving workloads the user is currently uploading and presents them as
optimization layouts.
Rainbow generalizes and extends our prior and technical experiment (see papers).
Recent Releases
May 14, 2017: Our full paper on rainbow has been accepted at SIGMOD 2017. Pre-camera
ready version here.
April 15, 2018: Our demo on rainbow has been accepted at ICDE 2018. Camera reday
version here.
Papers
Contact Us
For feedback and questions, feel free to email us:


You can also use joystick ;D
Walk: A / D
Crouch: S
Jump: Space / K
Dodge: Q / E
Punch: J
This is the first prototype for our game Smashing Spirits.
So keep in mind you will play a buggy version we drafted quickly to test the mechanics.
We will not use this code, consider it as a gift, an opportunity to follow the game evolving from the very beginning.
PS.: All the graphics are "fakes" we used just to test the mechanics.


--- layout: page title: About header-img: "img/about-bg.png" ---
Just a blog for me to talk to myself and whoever will listen about data science


H
I
II
III
Like
a
small
piece
of
dust
that
floats
in
the
air,
If
the
flying
snow
is
me
I
could
reach
you
faster.


Please select a pizza size, then add toppings to your current order by selecting the order in the dropdown menu and clicking the "Add Topping" button.
If you'd like to change the toppings on your current order, click the "Clear Toppings" button.
After submitting your current order, you can click the "New Order" button to start a new order.