David Nelson
Software developer
Work
Alpine Testing Solutions
Angular Developer 2 / Tech Lead
April 2020 - Present
- Promoted from Developer 1 to Developer 2 in less than a year.
- Crucial in bringing the 2.0 version of an Enterprise application to market.
- Leaded the accessibility improvements to bring the website closer to the WCAG 2.0 AA standard.
- Mentored a new developer while still managing the regular workload.
- Researched and introduced automated E2E unit testing with Cypress and Jest.
Projects
Share Family Recipes V2
An updated version of my Share Family Recipes site.
Architecture
Focused on structuring the files in a way to allow for scalability.
Automation
Used tools to generate TypeScript interfaces and GQL services to cut down on manual coding.
Images
Added the ability to upload multiple images. Unit and E2E tests also check the functionality of the image components.
Share Family Recipes
A site to upload, save, and like recipes and recipe pictures.
Api
Built from the ground up using PostgreSQL, Nodemailer, and Cloudinary to provide basic CRUD functionality. It also contains email verification and password reset capabilities.
Design
Before creating the front end, a mockup of each page was created in Figma. A single picture was used as inspiration for the color scheme.
Tests
There are 131 passing tests for the back end using Mocha and Chai. There are also 412 front end unit tests with Jasmine and 103 end-to-end tests in Cypress.
Documentation
To improve future maintainability, documentation is live on Github Pages and there are useful comments throughout the code.
Portfolio Website version 1
This portfolio was made with Bulma to show off projects while practicing testing with Jasmine, and Cypress.
Testing
This site has passing unit and E2E tests using Jasmine and Cypress.
Back end
Nodemailer, Express, and Sendgrid are used for the back end to send the message from the contact form.
Color
The colors throughout the page pass WCAG contrast tests.
Air KOALAty Report
A place to find the air quality and weather of cities made with Angular 7, Express, MongoDB, and Auth0.
Authorization
Auth0 is used for authorization to let users save their favorite cities to their list.
Angular Material
The card, button, theme, and navbar components are Angular Material.
Api
The api is from Air Visual and it provides the weather and air quality index for different cities.
Back end
The back end uses Express, Mongoose, and MongoDB to send requests to the API and to update the user's list.
Poké-Survey
A website to vote for your favorite Pokémon made with Express, MongoDB, and Mongoose.
Voting
Mongoose stores the votes in the MongoDB database.
Updating Votes
The back end creates a string unique to each user's browser to show the user's previous votes and to let them update their votes.
View
The template to render the view is EJS and it loops through the Pokémon data to show the images and voting results.
Styling
Bootstrap is used to style the website and display the results with small bar charts.
Skills
Front End
HTML5
CSS3
Javascript / ES6
Typescript
Angular
Angular Material
Bootstrap
Bulma
GraphQL
Back End
Node.js
NestJS
Express
PostgreSQL
MongoDB
Mongoose
SQL Server
Sequelize
TypeORM
Testing
Jest
Jasmine
Cypress
Karma
Mocha
Chai
Source Control
Git
Github
Deployment
Heroku
Netlify
MongoDB Atlas


It has long been known the a diet that includes at least a fewserving of fresh fruit every daywill help keep you healthy, fit andtrim.


Front End Web Developer
I have 3 years of experience in the software development. As part of my experience, I worked as a front end developer where my role was to design and develop some applications with the integrated user interface.
I developed web applications with a good user interface layout and animations with front end technologies HTML, CSS, JavaScript.C, Java, PHP, JDBC, Servlets, JSP, HTML, CSS, XML, JSON, JavaScript, jQuery, Ajax, DOM, REST
Oracle, MySQL, SQL Server
Windows, Mac OS X, Ubuntu, MS-DOS
JUnit, AngularJS, Bootstrap, Grunt, MVC, Jira, Ant, Git
Masters Degree
Restuarant Assistance
Aviation Control
Routing In Building
Did masters for two years!
I did specialization in front end technologies Developed some mobile and web applications Worked with groups and lead team collaborations Worked under professors guidance
Did bachelors for four years!
Started my career as a computer software engineer Learned new technologies for developing a project Responsible in maintaining school website and UI Worked as an intern with startup clients


Reflecting on Conflict
Conflict is part of life. Here is a conflict I experienced:
Once when I was playing basketball at the park, I was walking out of the park with someone else's basketball, but didn't realize I was carrying it. As I was walking out, the guy who owned the ball shoved me from behind, I think he knocked me down. I apologized to him and he took his ball. He yelled at me also. My friends thought we should retaliate but I said not to.
This happened probably over 10 years ago. I felt unable to physically defend myself because the other guy was a lot bigger than me. That made me feel like I could not really do anything. Ultimately when I think about it now, I was in the wrong because I was walking out of the park with the guy's basketball. But the other guy was also wrong because he did not have to push me, he could of just asked me for the ball. Now that I think about it, the guy probably pushed me because he knew I could not really retaliate.
What did I learn from this? Not much. What would I do differently? Not walk out of the park with someone else's basketball. But then, I did not even realize I had it. He thought I was intentionally stealing his basketball. But he did not have to push me to get the ball back. Not quite sure how this could have been avoided, or what I could have done differently in response. Ultimately my response avoided any escalation of the matter.
Sometimes there is no way to avoid conflict, but escalating conflict we can avoid.
Maybe I should have decked the guy. But that would not have ended well.


Messenger:
Didn't I already cover that? Clan Hall registration begins an hour before the contest, and the next Clan Hall War will begin around 2010-09-09 20:00:00.


{% extends base_template %} {% set title="Not Found" %} {% block content %}
We are very sorry for this, but the page you are looking for is missing (this could be because of a typo in the address) or moved.


About
Sir Timothy John Berners‐Lee OM KBE FRS FREng FRSA FBCS (born 8 June 1955), also known as TimBL, is an English computer scientist, best known as the inventor of the World Wide Web. He made a proposal for an information management system in March 1989, and he implemented the first successful communication between an HTTP client and server via the Internet sometime around mid‐November of that same year.
Berners‐Lee is the director of the W3C, which oversees the continued development of the Web. He is also the founder of the World Wide Web Foundation, and is a senior researcher and holder of the founders chair at the MIT CSAIL. He is a director of the WSRI, and a member of the advisory board of the MIT CCI. In 2011, he was named as a member the board of trustees of the Ford Foundation.
In 2004, Berners‐Lee was knighted by Queen Elizabeth II for his pioneering work. In April 2009, he was elected a foreign associate of the United States NAS. Named in Time magazine’s list of the 100 Most Important People of the 20th century, Berners‐Lee has received a number of other accoladesfor his invention. He was honoured as the “Inventor of the World Wide Web” during the 2012 Summer Olympics opening ceremony, in which he appeared in person, working with a vintage NeXT Computer at the London Olympic Stadium. He tweeted “This is for everyone”, which instantly was spelled out in LCD lights attached to the chairs of the 80,000 people in the audience.
Awards
- :
- World Wide Web Hall of Fame
- :
- Kilby Foundation’s “Young Innovator of the Year” Award
- ACM Software Systems Award (co‐recipient)
- Honorary Prix Ars Electronica
- Distinguished Fellow of the British Computer Society
- :
- Awarded an Order of the British Empire (OBE)
- IEEE Koji Kobayashi Computers and Communications Award
- Duddell Medal of the Institute of Physics
- Interactive Services Association’s Distinguished Service Award
- MCI Computerworld/Smithsonian Award for Leadership in Innovation
- International Communication Institute’s Columbus Prize
- :
- Charles Babbage award
- Mountbatten Medal of the National Electronics Council
- Lord Lloyd of Kilgerran Prize from the Foundation for Science and Technology
- PC Magazine Lifetime Achievement Award in Technical Excellence
- MacArthur Fellowship
- The Eduard Rhein Technology Award
- Honorary Fellow, Institution of Electrical Engineers
- :
- Named “One of the 100 greatest minds of the century” by Time Magazine
- World Technology Award for Communication Technology
- Honorary Fellowship, The Society for Technical Communications
- :
- Paul Evan Peters Award of ARL, Educause and CNI
- Electronic Freedom Foundation’s Pioneer Award
- George R Stibitz Computer Pioneer Award, American Computer Museum
- Special Award for Outstanding Contribution of the World Television Forum
- :
- Sir Frank Whittle Medal, the Royal Academy of Engineering
- Fellow,Royal Society
- Member, American Academy of Arts and Sciences
- :
- Japan Prize, the Science and Technology Foundation of Japan
- Prince of Asturias Foundation Prize for Scientific and Technical Research (shared with with Larry Roberts, Rob Kahn and Vint Cerf)
- Fellow, Guglielmo Marconi Foundation
- Albert Medal of the Royal Society for the Encouragement of Art, Manufactures and Commerce (RSA)
- :
- The Royal Photographic Society’s Progress Medal and Honorary Fellowship (HonFRPS)
- Computer History Museum Fellow Award
- :
- Knighted (KBE) by H.M. the Queen for services to the global development of the Internet
- Millennium Technology Prize
- Special Award of the American Society for Information Science and Technology
- Member, American Philosophical Society
- :
- Common Wealth Award for Distinguished Service for Mass Communications
- Die Quadriga Award
- Financial Times Lifetime Achievement Award
- :
- President’s Medal, the Institute of Physics
- :
- Awarded the Order of Merit by H.M. the Queen
- Charles Stark Draper Prize, National Academy of Engineering
- Lovelace Medal, British Computer Society
- D&AD President’s Award for Innovation and Creativity
- MITX (Massachusetts Innovation & Technology Exchange) Leadership Award
- Foreign Associate of the National Academy of Engineering
- :
- BITC Award for Excellence
- IEEE/RSE Wolfson James Clerk Maxwell Award
- Fellow, IEEE
- Pathfinder Award, Harvard Kennedy School of Government
- :
- Foreign Associate, National Academy of Sciences
- Given the title of Royal Designer by the Royal Society for the encouragement of Arts, Manufacture nd Commerce
- Webby Awards Lifetime Achievement Award
- :
- UNESCO Niels Bohr Gold Medal Award
- :
- The Mikhail Gorbachev Award
- DAMA Web Awards, Bilbao Web Summit
- :
- Institute of Electrical and Electronics Engineers Internet Hall of Fame
- Innovation 101 Lifetime Achievement Award
- Sultan Qaboos Order for Culture, Science and Arts (First Class)
- DNA Summit Lifetime Achievement Award
- :
- Shared the Queen Elizabeth II Prize for Engineering with Bob Kahn, Vint Cerf, Louis Pouzin and Marc Andreessen.
- Visionary of the Year Award, Society for New Communication Research.
- :
- Honorary Freedom of the City of London
- Lifetime Achievement Award from the Oxford Internet Institute
- Pride of Britain “Special Award for Outstanding Achievement”
- Webby award for Lifetime Achievement
- Public Knowledge IP3 Award
- Bradford Wasburn Award, Museum of Science, Boston
- Mohammed bin Rashid Knowledge Award (with Jimmy Wales)
- :
- Gottlieb Duttweiler Prize, Zurich, Switzerland
- The 1st class Order of the Cross of Terra Mariana, Republic of Estonia.
- :
- John Maynard Keynes Prize


Ohio, Middle Tenn. meet in Conway
by EndPlayCONWAY, S.C. - Middle Tennessee (3-3) vs. Ohio (3-3)
Myrtle Beach Invitational , HTC Center, Conway, South Carolina; Sunday, 7:30 p.m. EST
BOTTOM LINE: Middle Tennessee is set to face off against Ohio in the Myrtle Beach Invitational. Ohio lost 80-66 to Utah in its most recent game, while Middle Tennessee fell 86-74 against Tulane in its last outing.
LEADING THE CHARGE: The dynamic Jason Preston has put up 17.2 points, 5.8 rebounds and 7.3 assists to lead the charge for the Bobcats. Complementing Preston is Ben Vander Plas, who is producing 13.3 points and 5.3 rebounds per game. The Blue Raiders have been led by Antonio Green, who is averaging 18.2 points and 4.5 rebounds.
FUELING THE OFFENSE: Preston has either made or assisted on 55 percent of all Ohio field goals over the last three games. The freshman guard has 21 field goals and 15 assists in those games.
ASSIST DISTRIBUTION: The Blue Raiders have recently converted baskets via assists more often than the Bobcats. Ohio has an assist on 32 of 66 field goals (48.5 percent) across its past three matchups while Middle Tennessee has assists on 49 of 81 field goals (60.5 percent) during its past three games.
PACE OF PLAY: The upbeat Middle Tennessee offense has averaged 77.6 possessions per game, the 24th-most in Division I. Ohio has not been as uptempo as the Blue Raiders and is averaging only 67.6 possessions per game (ranked 273rd, nationally).
___
For more AP college basketball coverage: https://apnews.com/Collegebasketball and http://twitter.com/AP_Top25
___
This was generated by Automated Insights, http://www.automatedinsights.com/ap, using data from STATS LLC, https://www.stats.com


[1]
Size, accuracy, portability; Sound quality
[2]
soooo many features; haven't found any yet
[3]
Quick response, Size; External volume control, accuracy


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---
layout: def
---
For some quantum states such as position, the values are infinite. It would be inconvenient to represent it all in a column vector. So we represent it with a function.
Notations
Often the wavefunction is denoted with $\psi(x)$, however it means the same thing as $\langle x|\psi\rangle$. That is,
$$\begin{align*}
\psi(x)=\langle x|\psi\rangle
\end{align*}$$
Concepts
We can think of a column vector as descrete points on a graph. If we have enough of those descrete points, then can form a function, perhaps continuous.
I guess the values of the equation is solved by the eigenvector equation of the operator (not the schrodinger's equation).
Related
Coming soon


The javax.com.sinfeeloo.servlet.http package contains a number of classes and interfaces
that describe and define the contracts between a com.sinfeeloo.servlet class
running under the HTTP protocol and the runtime environment provided
for an instance of such a class by a conforming com.sinfeeloo.servlet container.


About Myself
Hi there! I'm Garima Singh. I belong from Uttar Pradesh, India. I currently work as a Sophomore student at National Institute of Technology, Patna. I have one year experience at creating software, mobile apps and websites for both myself, and for personal projects. I have experience in programming in many different languages such as C, HTML, Javascript, Python, Java and PHP, however some of my favourite projects involve working in Android Studio and Visual Studio. I am currently enrolled in four years Under Graduate course of Computer Science and Engineering. I am constantly working for development of my skills.
ANDROID STUDIO :- 60%
GIT, GITHUB, VCS CONTROL :-50%
COMPETITIVE PROGRAMMING :- 40%
VISUAL STUDIO :- 40%
BRACKETS FOR WEB DEVELOPMENT :- 70%
-
March 2016
Completed 10th.
Hartmann College
Bareilly, UP, India -
March 2018
Completed 12th
BBL Public School
Bareilly, UP, India -
May 2018 to present
Student in Bachelor of Technology
National Institute of Technology
Patna, Bihar, India


{{name}} was created based upon the ExAC framework provided on github and as such it shares much of the design. We give full credit to the MacArthur team for providing this invaluable resource. However, while ExAC is incredibly useful for looking up population variant frequencies, it does not provide phenotype specific frequencies. {{name}} has been created to specifically provide study level frequency data for germline exome studies in cancer.
What cancer studies are included in {{name}} ?
Currently {{name}} contains variant level data for 1,006 NSCCG familial early onset colorectal cancer patients sequenced at the Institute of cancer research. It is anticipated that further germline cancer studies will be added in the near future.
How should I cite discoveries made using {{name}} data?
We anticipate the publication of a {{name}} paper describing this data set in mid 2016. If the NSCCG CRC data is used, please cite : Chubb et-al. The specific NSCCG calls made in CanVar were jointly alongside a larger set of exomes sequenced at the ICR. Calls may therefore be different from those presented in the original publication.
Can I get access to individual-level genotype data from {{name}}
Indivudual level data on the 1,006 NSCCG CRC cases have been deposited at the European Genome-phenome Archive, which is hosted by the European Bioinformatics Institute, accession number: EGAS00001001666


#include <NoiseInStream.h>
Public Member Functions | |
| MemoryInStream () | |
| void | open (char *buffer, size_t size) |
| char * | getBuffer () |
| size_t | getBufferSize () const |
| virtual void | read (void *buffer, size_t len) |
| virtual size_t | tell () |
| virtual void | seek (size_t pos) |
| template<class T> | |
| void | read (T &t) |
| int | readInt () |
| double | readDouble () |
| noisepp::utils::MemoryInStream::MemoryInStream | ( | ) |
Constructor.
| void noisepp::utils::MemoryInStream::open | ( | char * | buffer, | |
| size_t | size | |||
| ) |
Open the specified buffer for reading.
| buffer | The buffer. | |
| size | The size of the buffer. |
| char* noisepp::utils::MemoryInStream::getBuffer | ( | ) | [inline] |
Returns a pointer to the buffer.
| size_t noisepp::utils::MemoryInStream::getBufferSize | ( | ) | const [inline] |
Returns the buffer size.
| void noisepp::utils::MemoryInStream::read | ( | void * | buffer, | |
| size_t | len | |||
| ) | [virtual] |
Read len bytes to buffer.
Implements noisepp::utils::InStream.
| size_t noisepp::utils::MemoryInStream::tell | ( | ) | [virtual] |
Returns the current position.
Implements noisepp::utils::InStream.
| void noisepp::utils::MemoryInStream::seek | ( | size_t | pos | ) | [virtual] |
Jumps to the specified position.
Implements noisepp::utils::InStream.
| void noisepp::utils::InStream::read | ( | T & | t | ) | [inline, inherited] |
Read from stream and flip endian if required.
| int noisepp::utils::InStream::readInt | ( | ) | [inline, inherited] |
Read an integer from stream.
| double noisepp::utils::InStream::readDouble | ( | ) | [inline, inherited] |
Read a double from stream.


Web Designer | Graphic Designer
Hello. My name's Dwika Permata. I am 22 years old. I love exploring new experiences. I'm still learning to be an experienced Web Developer


To: {{Address}}
Hello {{User.UserAttributes.FirstName}},
Click the below button to join the event at 7 pm IST
If the button does not work enter the following details in zoom:
Meeting ID: 894 4291 1156
Password: hfmum
Happy Hacktoberfest 💙
| Best, |
| TEAM |
| Hacktoberfest, Mumbai |
| Sent: Sat, Oct 10 |
-----
Mailed by Parikshit


We are delighted to invite to join us to the 11th version of the Bolivian Conference on Development Economics (BCDE2020), which this year will be held online, on Monday and Tuesday, July 27th and 28th, 2020.
About the Conference
The Bolivian Conference on Development Economics aims at bringing together local and international scholars for the exchange of ideas and discussion of recent research on all areas related to economic development. We welcome submissions of theoretical and applied research, and we particularly encourage female and Bolivian scholars at an early stage in their careers to submit their work. The conference is organized by the Bolivian Society of Economists (SEBOL), with support from the Institute for Advanced Development Studies (INESAD), the Bolivian Academy of Economic Sciences (ABCE), and Universidad Privada Boliviana (UPB). The conference this year will host special sessions celebrating the launch of the Bolivian chapter of the United Nations’ Sustainable Development Solutions Network (SDSN) and the launch of the Municipal Atlas of the SDGs in Bolivia.
Keynote Speakers
Marcelo Olarreaga is Professor of Economics at the University of Geneva, and Research Fellow at the Centre for Economic Policy Research (CEPR) in London. Before joining the University of Geneva he worked in the Research Department of the World Bank, as well as in the Economics Research Division of the World Trade Organization. He has also been invited professor at CERDI/FERDI (France), the Graduate Institute (Switzerland), INSEAD (France), Institute CLAEH (Uruguay), SciencePo-Paris (France), Universidad de la República (Uruguay) and the University of Antwerp (Belgium). He is an expert and active researcher in international economics.
Johanna Rickne is Professor of Economics at the Swedish Institute for Social Research at Stockholm University. She is also an Affiliate Professor of Economics at the University of Nottingham, a Research Fellow at the IZA Institute of Labor Economics in Bonn, and member of the Center for Economic and Political Research (CEPR). She has been visiting professor at Yale, ITAM, Harvard, Tokyo, UC Berkeley, Columbia, PUC-Rio, and Beijing universities. She is an expert and a leading researcher in gender economics, labor economics and political economics, and China’s economic and social development. Her work has been published in top academic journals in Political Science and Economics.
James A. Robinson is the Reverend Dr. Richard L. Pearson Professor of Global Conflict Studies and University Professor at the Harris School of Public Policy at the University of Chicago, and Institute Director of The Pearson Institute for the Study and Resolution of Global Conflicts. His books include The Narrow Corridor: States, Societies, and the Fate of Liberty (2019), Why Nations Fail: The Origins of Power, Prosperity, and Poverty (2012), and Economic Origins of Dictatorship and Democracy (2005), co-authored with Daron Acemoglu (MIT). He is a prolific and widely recognized scholar in economics and political science, and currently conducts research in the Democratic Republic of the Congo, Sierra Leone, Haiti, Colombia, and Bolivia.
Jeffrey D. Sachs is Professor and Director of the Center for Sustainable Development at Columbia University, where he directed the Earth Institute from 2002 until 2016. He is also the Director of the UN’s Sustainable Development Solutions Network (SDSN) and a commissioner of the UN’s Broadband Commission for Development. He has been an advisor to three UN Secretaries-General, and currently serves as a Sustainable Development Goals Advocate under UN Secretary-General Antonio Guterres. He is the author of several books including The Ages of Globalization (2020), The Age of Sustainable Development (2015), and The End of Poverty (2005).
{{ site.rockstarSpeakersTitle }}
{% assign animationDelay = 0 %} {% for speaker in site.data.speakers_bcde2020 %}
{% if speaker.rockstar %}


Merchant Radia:
Ah, a visitor! I'm so glad! What brings you to our store? We specialize in armor: all types and grades. Can I show you a set?
Buy/Sell/Refund.
View information about the local lord and tax rate.
Quest


Spicy paneer skewers
These vegetarian kebabs use a firm Indian cheese coated in spices and grilled, perfect for a party.
CloseNutrition per serving
421 kcalories, protein 17.0g, carbohydrate 10.0g, fat 35.0g
Ingredient
Serves 10
- 600g paneer cheese (see Tip below)
- juice 2 lemons
- 2 tsp ground cumin, plus extra for sprinkling
- 75g gram flour (see Tip below)
- 1 tsp garam masala
- 1 tbsp paprika
- 284ml tub double cream
- 4 garlic cloves, crushed
- 2 red chillies, deseeded and chopped
- 2 peppers, red and yellow, roughly chopped
- 2 courgettes, sliced
- 25g butter, melted
- 2 lemons, cut into wedges
Method
- Soak 12-15 bamboo skewers in water for 15 mins – this helps to stop them from burning under the grill. Cut the paneer cheese into 3cm cubes and toss with the lemon juice and ground cumin. Set aside for 30 mins.
- Sieve the gram flour, garam masala and paprika into a bowl and add the cream, garlic and chopped chillies plus enough water to make a thick batter, then stir until smooth. Drain the paneer and add to the batter with 2 tbsp of the cumin-spiced lemon juice. Coat all the paneer cubes in batter.
- Heat grill to its hottest setting and line the grill pan with foil. Thread the paneer onto skewers, alternating it with chunks of pepper and courgette. Drizzle with batter from the bowl and cook for 4-5 mins on each side, spooning over more batter when you turn them. Grill until charred at the edges. Brush with melted butter, sprinkle with the ground cumin, and serve immediately, accompanied with lemon wedges.


HBTemplate Class Reference
| Inherits from | NSObject |
| Declared in | HBTemplate.h |
Overview
The HBTemplate is the class representing templates in HBHandlebars.
You create template with initWithString:.
You can then optionnaly compile them with the
You can render a template with the <renderWithContext:> method. Please see HBHandlebars for a discussion of what a context object is.
Templates can also have “local” helpers and partial, ie helpers and partials that are only available to this template. To register local helpers, use the helpers property and manipulate the corresponsing registry directly. To add local partial use
Tasks
Other Methods
-
templateString
the actual template string
property -
– initWithString:
Designated initializer
-
– renderWithContext:error:
Render a template
Compilation
-
– compile:
Compile the receiver.
Helpers and partials
-
– helpers
Helpers registry.
-
– partials
Helpers registry.
Instance Methods
compile:
Compile the receiver.
- (void)compile:(NSError **)error
Parameters
- error
pointer to an error object that is set in case of parsing error.
Availability
v1.0
Discussion
This method compiles the template string. This method can be safely called multiple time, template will only be compiled once. There is no need to call it before rendering, it’ll be called lazily if needed, at render time. Calling this method provides a way to control when compilation should occur in your application lifetime.
Declared In
HBTemplate.h
helpers
Helpers registry.
- (HBHelperRegistry *)helpers
Discussion
This method gives access to the helpers specific to this template. Please see HBHelperRegistry for more details.
Declared In
HBTemplate.h
initWithString:
Designated initializer
- (id)initWithString:(NSString *)string
Parameters
- string
The template string
Availability
v1.0
Discussion
This method initializes an HBTemplate object. If you want this template to be part of a shared execution context, please use [HBExecutionContext templateWithString:] instead.
Declared In
HBTemplate.h
partials
Helpers registry.
- (HBPartialRegistry *)partials
Discussion
This method gives access to the partials specific to this template.
Please see
Declared In
HBTemplate.h
renderWithContext:error:
Render a template
- (NSString *)renderWithContext:(id)context error:(NSError **)error
Parameters
- context
The object containing the data used in the template. Can be any property-list compatible object for instance.
- error
Pointer to an NSError object that will be set in case an error occurs during rendering.
Availability
v1.0
Discussion
This method renders the template for the provided context. Variables used in the template will be taken from the context.
Declared In
HBTemplate.h


Class ListProductSetsResponse (v2.2.2)
Response message for the ListProductSets
method.
Generated from protobuf message google.cloud.vision.v1.ListProductSetsResponse
Methods
__construct
Constructor.
| Name | Description |
| data |
array
Optional. Data for populating the Message object. |
| ↳ product_sets |
array<Google\Cloud\Vision\V1\ProductSet>
List of ProductSets. |
| ↳ next_page_token |
string
Token to retrieve the next page of results, or empty if there are no more results in the list. |
getProductSets
List of ProductSets.
Generated from protobuf field repeated .google.cloud.vision.v1.ProductSet product_sets = 1;
| Type | Description |
| Google\Protobuf\Internal\RepeatedField |
setProductSets
List of ProductSets.
Generated from protobuf field repeated .google.cloud.vision.v1.ProductSet product_sets = 1;
| Name | Description |
| var |
array<Google\Cloud\Vision\V1\ProductSet>
|
| Type | Description |
| $this |
getNextPageToken
Token to retrieve the next page of results, or empty if there are no more results in the list.
Generated from protobuf field string next_page_token = 2;
| Type | Description |
| string |
setNextPageToken
Token to retrieve the next page of results, or empty if there are no more results in the list.
Generated from protobuf field string next_page_token = 2;
| Name | Description |
| var |
string
|
| Type | Description |
| $this |


Search Doctor By Name
Search
Search Doctor By query
Search
Firstname
Lastname
Address
Phone Number
Accepting New Patients
Photo Link


This example includes rot.js using native ES2015 modules. You need a fairly modern web browser. This setup is suitable for development only, as it results in a large number of HTTP requests. The advantage is that you do not have to bundle/compile your code.
If you see a small roguelike-like scene below, your browser supports native ES2015 modules.


| Name: mr.biswajit ojha | Reg No: 6-10smmhc18 |
|---|---|
| Age / Sex:32/m | Contact No:9962780594 |
| Marital Status: single | Date:6/10/18 |
| Occupation: tester in it company. Mca. | Dr. pjfp |
Address: Native of Orissa In blore since 2 years |
DIAGNOSIS- |
k/c/o left side gynaecomastia since an year.
Pain and swelling in the left side mammary gland.
S: < touch, pain hard on nipple area.
No discharge.
Ph:
Put matchstick in the ear in his 7th standard since then till last 3 years discharge from ear. No money so waited till he got money and got operated 3 yrs back.
Fh:
Mom: 55 yrs. 2011 – piles and then ca of rectum and died then.
All are alcoholic. Beedi cigarettes. Carpenters background.
Personal h/o:
Mixed diet, reg,
Likes non veg more.
2lts/day.
t – 1 /day.
Alcohol – weekly once 700ml .
Smoking 3-4 /day.
Close to mom. Got addicted more to alcohol and smoking more frm last 2 years.
Will I get married or not. Who will understand me.
All family depends on him only they dnt take care of me. Lots of loan.
Rx:
Carcinosin1m / nat mur 1m/staphysagria1m – 4-4-4-4.
Pitutarin 30 – 4-0-4.
Quercus – 15-0-15 drops a/food in water.
27/10/18: same complaints no change. pain also same.
Rx:
Conium 30 /thuja30/ phytolacca 30 – 4-4-4
Pitutarin1m/thyroidinum1m – 3 days once – 5 doses.
Rubrum 15 – 1 dose night b/food.
Bell1m – 3-3-3-3 for 3 days b/food. Afterwards sos.

TOUCH PAIN A LOT.
FEELS INCREASING THE SIZE.
RX:
LAC CAN 200 – 4-4-4-4. 2 DRAM PILLS.
PITUTARIN 1M/ BARYTA CARB 1M/ THUJA 1M– 4-0-4 2 DRAM PILLS
CONIUM200/SIL200/ PHYTOLACCA 200- PILLS 6-0-6.
RUB 30 1-0-1 B/FOOD.


public class Trade extends ElasticStorable implements Observable
| Constructor and Description |
|---|
Trade(Inventory offeredTrinkets,
TradeManager receiver,
Inventory requestedTrinkets,
TradeManager sender)
Constructor that initializes the sender and receiver sides of the trade.
|
| Modifier and Type | Method and Description |
|---|---|
void |
addObserver(java.util.Observer observer)
Adds the specified observer to the list of observers.
|
void |
deleteObserver(java.util.Observer observer)
Removes the specified observer from the list of observers.
|
<T extends ElasticStorable> |
getFromNetwork(java.lang.Class<T> type)
Attempts to find this object on the elasticsearch server.
|
java.lang.Integer |
getNumberOfTrinkets()
Returns number of trinkets involved in a particular trade.
|
Inventory |
getOfferedTrinkets()
Returns the trinket offered by trade sender.
|
TradeManager |
getReceiver()
Returns
TradeManager of receiver of trade (user who receives trade offer). |
java.lang.String |
getReceiverUsername() |
Inventory |
getRequestedTrinkets()
Return trinket(s) requested by trade sender.
|
java.lang.String |
getResourceUrl()
Returns the base URL each class of ElasticStorable object will be saved to.
|
java.lang.String |
getSearchUrl()
Returns the base URL each class of ElasticStorable object can be searched on the server with.
|
TradeManager |
getSender()
Returns
TradeManager of sender of trade (user who proposes trade offer). |
java.lang.String |
getSenderUsername() |
java.lang.String |
getStatus()
Returns status of the trade.
|
java.lang.String |
getTag()
Returns the tag section of the elastic search entry's URL.
|
java.lang.String |
getUid()
Returns a unique ID for each user's objects being stored to Elastic Search.
|
void |
notifyObservers()
If
hasChanged() returns true , calls the update()
method for every observer in the list of observers using null as the
argument. |
<T extends ElasticStorable> |
onGetResult(T result)
Method called after getFromNetwork gets a response.
|
<T extends ElasticStorable> |
onSearchResult(java.util.Collection<T> result)
Method called after searchOnNetwork gets a response.
|
<T extends ElasticStorable> |
searchOnNetwork(java.util.ArrayList<org.apache.http.NameValuePair> postParameters,
java.lang.Class<T> type)
Searches for ElasticStorable objects on the network matching the attribute and attribute
value pairs.
|
void |
setNotNewOfferedTrade() |
void |
setNumberOfTrinkets(java.lang.Integer numberOfTrinkets)
Sets number of trinkets in a particular trade.
|
void |
setReceiverUsername(java.lang.String receiverUsername) |
void |
setSenderUsername(java.lang.String senderUsername) |
void |
setStatus(java.lang.String status)
Sets status of a trade.
|
java.lang.String |
toEmailString()
Creates a formatted string describing the trade.
|
java.lang.String |
toString()
This method override is responsible for determining how trades will be shown to the
user when they view their Current Trades list and Past Trades list.
|
deleteFromNetwork, saveToNetwork
public Trade(Inventory offeredTrinkets, TradeManager receiver, Inventory requestedTrinkets, TradeManager sender)
Inventories
(holding the trinkets they are bartering in this trade) and their own
TradeManagers
. When a new trade is initialized, the current user who is
requesting the trade is the "sender" and the friend who the request is being sent to is the "receiver".
By default the trade's status is set to "pending", meaning that the negotiation is still in progress and
the trade has neither been accepted nor rejected yet.
offeredTrinkets
- inventory containing offered trinketsreceiver
- TradeManager of user who was offered the traderequestedTrinkets
- inventory containing requested trinketssender
- TradeManager of user who instantiated tradepublic void addObserver(java.util.Observer observer)
addObserver
in interface Observable
observer
- the Observer to add.public void deleteObserver(java.util.Observer observer)
deleteObserver
in interface Observable
observer
- the observer to remove.public void notifyObservers()
hasChanged()
returns true
, calls the update()
method for every observer in the list of observers using null as the
argument. Afterwards, calls clearChanged()
.
Equivalent to calling notifyObservers(null)
.notifyObservers
in interface Observable
public java.lang.Integer getNumberOfTrinkets()
public void setNumberOfTrinkets(java.lang.Integer numberOfTrinkets)
numberOfTrinkets
- Number of offered or requested trinkets in a tradepublic java.lang.String toString()
toString
in class java.lang.Object
public java.lang.String getStatus()
public void setStatus(java.lang.String status)
status
- - String representing status of trade (pending, accepted or declined)public java.lang.String toEmailString()
TradeReceivedActivity
.
public TradeManager getSender()
TradeManager
of sender of trade (user who proposes trade offer).
public Inventory getOfferedTrinkets()
public TradeManager getReceiver()
TradeManager
of receiver of trade (user who receives trade offer).
public Inventory getRequestedTrinkets()
Inventory
is returned.
public void setNotNewOfferedTrade()
public java.lang.String getReceiverUsername()
public void setReceiverUsername(java.lang.String receiverUsername)
public java.lang.String getSenderUsername()
public void setSenderUsername(java.lang.String senderUsername)
public java.lang.String getTag()
ElasticStorable
User
objects, "Trade" for
Trade
objects, and "picture" for
Picture
objects.getTag
in class ElasticStorable
public java.lang.String getResourceUrl()
ElasticStorable
User
objects, "Trade" for
Trade
objects, and "picture" for
Picture
objects.getResourceUrl
in class ElasticStorable
public java.lang.String getUid()
ElasticStorable
getUid
in class ElasticStorable
public <T extends ElasticStorable> void searchOnNetwork(java.util.ArrayList<org.apache.http.NameValuePair> postParameters, java.lang.Class<T> type) throws java.io.IOException
searchOnNetwork
in class ElasticStorable
postParameters
- pairs of attributes to use when searchingtype
- java.io.IOException
public <T extends ElasticStorable> void getFromNetwork(java.lang.Class<T> type) throws java.io.IOException
getFromNetwork
in class ElasticStorable
T
- - type may be of any class extending ElasticStorabletype
- class of this objectjava.io.IOException
public <T extends ElasticStorable> void onGetResult(T result)
onGetResult
in class ElasticStorable
T
- type passed to getFromNetworkresult
- - result of getFromNetworkpublic <T extends ElasticStorable> void onSearchResult(java.util.Collection<T> result)
onSearchResult
in class ElasticStorable
- extends ElasticStorable> - result result of searchOnNetwork
public java.lang.String getSearchUrl()
Trade
objects, and then followed
by "/_search/".getSearchUrl
in class ElasticStorable


First Name *
Postcode *
Address number *
Additional information *
Address *
Town / City *
State
Email Address *
Account password *
Make your payment directly into our bank account. Please use your Order ID as the payment reference. Your order won’t be shipped until the funds have cleared in our account.


Introduction to Probability Models
Lecture 11
Qi Wang, Department of Statistics
Sep 14, 2018
Some Concepts
Variable: a variable is an alphabetic character representing a number,
called the value of the variable, which is either arbitrary, not fully specified or unknown
Quantitative:
Variable that can be expressed as a number, or quantified
Qualitative:
Variable that can't be expressed as a number, or quantified
Examples
- The age of your car. (Quantitative.)
- The number of hairs on your knuckle. (Quantitative.)
- The softness of a cat. (Qualitative.)
- The color of the sky. (Qualitative.)
- The number of pennies in your pocket. (Quantitative.)
Random Variable
- Definition:the value obtained from an experiment has an associated probability
- It is usually abbreviated as RV
- Discrete Random Variable: coutable number of values
- Continuous Random Variable:can take on any value in a range
Probability Mass Function
- Definition:a function that gives the probability that a
discrete random variable is exactly equal to some value.
- It is usually abbreviated as PMF
Example 1
Flip a fair coin 3 times, let X = the number of heads
- Write out the PMF for X.
- If the coin is no longer fair and P(H) = .7, write out the PMF.
Some properties of the PMF
- For every x, $0 \le p_X(x) \le 1$
- $\sum_x{p_X(x)} = 1$
Example 2
$X \sim p_X(x) = P(X = x) = k(5 - x), x \in \{0, 1, 2, 3, 4\}$
- Find the value of k that makes $p_X(x)$ a legitimate/valid probability model
- Find $P(1\le X\le 3)$
- Find $P(X<3|X\ne 0)$
- Find $P(2\le X\le 4 | 0 < X < 4)$


QPrintPreviewDialog Class
The QPrintPreviewDialog class provides a dialog for previewing and configuring page layouts for printer output. More...
| Header: | #include <QPrintPreviewDialog> |
| qmake: | QT += printsupport |
| Since: | Qt 4.4 |
| Inherits: | QDialog |
Public Functions
| QPrintPreviewDialog(QPrinter *printer, QWidget *parent = Q_NULLPTR, Qt::WindowFlags flags = Qt::WindowFlags()) | |
| QPrintPreviewDialog(QWidget *parent = Q_NULLPTR, Qt::WindowFlags flags = Qt::WindowFlags()) | |
| ~QPrintPreviewDialog() | |
| void | open(QObject *receiver, const char *member) |
| QPrinter * | printer() |
Reimplemented Public Functions
| virtual void | done(int result) |
| virtual void | setVisible(bool visible) |
Signals
| void | paintRequested(QPrinter *printer) |
Additional Inherited Members
- 2 properties inherited from QDialog
- 59 properties inherited from QWidget
- 5 public slots inherited from QDialog
- 19 public slots inherited from QWidget
- 5 static public members inherited from QWidget
- 6 protected functions inherited from QDialog
- 35 protected functions inherited from QWidget
- 1 protected slot inherited from QWidget
Detailed Description
The QPrintPreviewDialog class provides a dialog for previewing and configuring page layouts for printer output.
Using QPrintPreviewDialog in your existing application is straightforward:
- Create the QPrintPreviewDialog.
You can construct a QPrintPreviewDialog with an existing QPrinter object, or you can have QPrintPreviewDialog create one for you, which will be the system default printer.
- Connect the paintRequested() signal to a slot.
When the dialog needs to generate a set of preview pages, the paintRequested() signal will be emitted. You can use the exact same code for the actual printing as for having the preview generated, including calling QPrinter::newPage() to start a new page in the preview. Connect a slot to the paintRequested() signal, where you draw onto the QPrinter object that is passed into the slot.
- Call exec().
Call QPrintPreviewDialog::exec() to show the preview dialog.
See also QPrinter, QPrintDialog, QPageSetupDialog, and QPrintPreviewWidget.
Member Function Documentation
QPrintPreviewDialog::QPrintPreviewDialog(QPrinter *printer, QWidget *parent = Q_NULLPTR, Qt::WindowFlags flags = Qt::WindowFlags())
Constructs a QPrintPreviewDialog based on printer and with parent as the parent widget. The widget flags flags are passed on to the QWidget constructor.
See also QWidget::setWindowFlags().
QPrintPreviewDialog::QPrintPreviewDialog(QWidget *parent = Q_NULLPTR, Qt::WindowFlags flags = Qt::WindowFlags())
This is an overloaded function.
This will create an internal QPrinter object, which will use the system default printer.
QPrintPreviewDialog::~QPrintPreviewDialog()
Destroys the QPrintPreviewDialog.
[virtual]
void QPrintPreviewDialog::done(int result)
Reimplemented from QDialog::done().
void QPrintPreviewDialog::open(QObject *receiver, const char *member)
This is an overloaded function.
Opens the dialog and connects its finished(int) signal to the slot specified by receiver and member.
The signal will be disconnected from the slot when the dialog is closed.
This function was introduced in Qt 4.5.
[signal]
void QPrintPreviewDialog::paintRequested(QPrinter *printer)
This signal is emitted when the QPrintPreviewDialog needs to generate a set of preview pages.
The printer instance supplied is the paint device onto which you should paint the contents of each page, using the QPrinter instance in the same way as you would when printing directly.
QPrinter *QPrintPreviewDialog::printer()
Returns a pointer to the QPrinter object this dialog is currently operating on.
[virtual]
void QPrintPreviewDialog::setVisible(bool visible)
Reimplemented from QWidget::setVisible().


void GrDestroyBitmap( GStateHandle gstate, /* GState containing bitmap */ BMDestroy flags); /* flags for removing data */
Free the bitmap and disassociate it with its window. Depending on the passed flag, the bitmap's data may be freed or preserved. Thus, it is possible to remove the GString used to edit the bitmap while maintaining the bitmap in a drawable state.
Structures:
typedef ByteEnum BMDestroy; /* BMD_KILL_DATA, BMD_LEAVE_DATA */
Include: graphics.h
void GrDestroyGString( Handle gstring, /* Handle of GString */ GStateHandle gstate, /* NULL, or handle of another * gstate to free*/
GStringKillType type); /* Kill type for data removal */
Destroys a GString. Depending on the
GStringKillType
argument, this either constitutes removing the GState from the GString data; or freeing both the GState and the GString's data. If you have been drawing the GString to a GState, you should pass the GState's handle as
gstate
, and this routine will do some cleaning up.
Structures:
typedef ByteEnum GStringKillType; /* GSKT_KILL_DATA, GSKT_LEAVE_DATA */
Include: gstring.h
void GrDestroyPalette( GStateHandle gstate); /* GState of palette to destroy */
Free any custom palette associated with the current window.
Include: graphics.h
void GrDestroyState( GStateHandle gstate); /* GState to be destroyed */
Free a graphics state block.
Include: graphics.h
void GrDrawArc( GStateHandle gstate, /* GState to draw to */ sword left, /* bounds of box outlining arc */ sword top, sword right, sword bottom, word startAngle, /* angles in degrees word endAngle, * counter-clockwise */ ArcCloseType arcType); /* how the arc is closed */
Draw an arc along the ellipse that is specified by a bounding box, from the starting angle to the ending angle.
Include: graphics.h
void GrDrawArc3Point( GStateHandle gstate, /* GState to draw to */ const ThreePointArcParams *params);
Draw a circular arc, given three points along the arc; both endpoints and any other point on the arc.
Include: graphics.h
void GrDrawArc3PointTo( GStateHandle gstate, /* GState to draw to */ const ThreePointArcToParams *params);
As
GrDrawArc3Point()
, above, except that the current position is automatically used as one of the endpoints.
Include: graphics.h
void GrDrawBitmap( GStateHandle gstate, /* GState to draw to */ sword x, /* x starting point */ sword y, /* y starting point */ const Bitmap * bm, /* pointer to the bitmap */ Bitmap * _pascal (*callback) (Bitmap *bm)); /* NULL for no callback */
Draw a bitmap. Note that if the bitmap takes up a great deal of memory, it is necessary to manage its memory when drawing. If the bitmap resides in a
HugeArray
(true of any bitmap created using
GrCreateBitmap()
), then calling
GrDrawHugeBitmap()
will automatically take care of memory management. Otherwise, you may wish to provide a suitable callback routine. This routine should be declared _pascal and is passed a pointer into the passed bitmap and is expected to return a pointer to the next slice. This allows the bitmap to be drawn in horizontal bands, or swaths.
Include: graphics.h
void GrDrawBitmapAtCP( GStateHandle gstate, /* GState to draw to */ const Bitmap * bm, /* pointer to the bitmap */ Bitmap * _pascal (*callback) (Bitmap *bm)); /* NULL for no callback */
This routine is the same as
GrDrawBitmap()
, above, except that the bitmap is drawn at the current position.
Include: graphics.h
void GrDrawChar( GStateHandle gstate, /* GState to draw to */ sword x, /* x position at which to draw */ sword y, /* y position at which to draw */ word ch); /* character of type Chars */
Draw a character at the given position with the current text drawing attributes.
Include: graphics.h
void GrDrawCharAtCP( GStateHandle gstate, /* GState to draw to */ word ch); /* character of type Chars */
Draw a character at the current position with the current text drawing attributes.
Include: graphics.h


{% extends "global/Page.html" %} {% load otree static %} {% block title %} Decisions are about to begin {% endblock %} {% block content %}
Since you do not know the composition of your group yet, you will fill out the form several times, once for each possible group composition you could have. Only the decisions for the form associated with your actual group composition will be used.
{% next_button %} {% endblock %}


|
Vkx
0.1.0
Vulkan C++ extensions
|
A frame of reference including translation, scale, and orientation. More...
#include <Vkx/Frame.h>
Public Member Functions | |
| Frame (glm::mat4x4 const &m=glm::mat4x4(1.0f)) | |
| Constructor. | |
| Frame (glm::vec3 const &translation, glm::quat const &rotation, glm::vec3 const &scale=glm::vec3(1.0f)) | |
| Constructor. More... | |
| Frame & | translate (glm::vec3 const &t) |
| Translates the frame and returns it. More... | |
| Frame & | rotate (glm::quat const &r) |
| Rotates the frame by the given quaternion and returns it. More... | |
| Frame & | scale (glm::vec3 const &s) |
| Scales the frame and returns it. More... | |
| void | setTranslation (glm::vec3 const &t) |
| Sets the frame's translation. More... | |
| glm::vec3 | translation () const |
| Returns the frame's translation. | |
| void | setOrientation (glm::quat const &r) |
| Sets the frame's rotation according to the given quaternion. More... | |
| void | setOrientation (glm::mat3x3 const &r) |
| Sets the frame's orientation as a matrix. More... | |
| glm::quat | orientation () const |
| Returns the frame's rotation as a quaternion. | |
| glm::mat3x3 | orientationMatrix () const |
| Returns the frame's orientation as a matrix. | |
| void | setScale (glm::vec3 const &s) |
| Sets the frame's scale. More... | |
| glm::vec3 | scale () const |
| Returns the frame's scale. | |
| void | setTransformation (glm::mat4x4 const &m) |
| Sets the frame's transformation matrix. More... | |
| glm::mat4x4 | transformation () const |
| Returns the frame's transformation matrix. | |
| glm::vec3 | xAxis () const |
| Returns the frame's unit X axis in global space. | |
| glm::vec3 | yAxis () const |
| Returns the frame's unit Y axis in global space. | |
| glm::vec3 | zAxis () const |
| Returns the frame's unit Z axis in global space. | |
Static Public Member Functions | |
| static Frame | identity () |
| Returns an untransformed Frame. | |
A frame of reference including translation, scale, and orientation.
| Vkx::Frame::Frame | ( | glm::vec3 const & | translation, |
| glm::quat const & | rotation, | ||
| glm::vec3 const & | scale = glm::vec3(1.0f) |
||
| ) |
Constructor.
The frame's transformation is computed as M = S * R * T.
| translation | Translation component as a 3D vector |
| rotation | Rotation component as a quaternion |
| scale | Scale component as a 3D vector |
| Frame & Vkx::Frame::rotate | ( | glm::quat const & | r | ) |
Rotates the frame by the given quaternion and returns it.
M' = R * M.
| r | rotation (in local space) |
| Frame & Vkx::Frame::scale | ( | glm::vec3 const & | s | ) |
Scales the frame and returns it.
M' = S * M.
| s | scale (in local space) |
| void Vkx::Frame::setOrientation | ( | glm::quat const & | r | ) |
Sets the frame's rotation according to the given quaternion.
| r | Orientation value. |
| void Vkx::Frame::setOrientation | ( | glm::mat3x3 const & | r | ) |
Sets the frame's orientation as a matrix.
| r | rotation |
| void Vkx::Frame::setScale | ( | glm::vec3 const & | s | ) |
Sets the frame's scale.
| s | scale |
| void Vkx::Frame::setTransformation | ( | glm::mat4x4 const & | m | ) |
Sets the frame's transformation matrix.
| m | Value to set the transformation matrix to. |
| void Vkx::Frame::setTranslation | ( | glm::vec3 const & | t | ) |
Sets the frame's translation.
M' = T * M.
| t | translation |
| Frame & Vkx::Frame::translate | ( | glm::vec3 const & | t | ) |
Translates the frame and returns it.
M' = T * M.
| t | translation (in local space) |


Flink’s Table API & SQL programs can be connected to other external systems for reading and writing both batch and streaming tables. A table source provides access to data which is stored in external systems (such as a database, key-value store, message queue, or file system). A table sink emits a table to an external storage system. Depending on the type of source and sink, they support different formats such as CSV, Parquet, or ORC.
This page describes how to declare built-in table sources and/or table sinks and register them in Flink. After a source or sink has been registered, it can be accessed by Table API & SQL statements.
The following tables list all available connectors and formats. Their mutual compatibility is tagged in the corresponding sections for table connectors and table formats. The following tables provide dependency information for both projects using a build automation tool (such as Maven or SBT) and SQL Client with SQL JAR bundles.
These tables are only available for stable releases.
This allows not only for better unification of APIs and SQL Client but also for better extensibility in case of custom implementations without changing the actual declaration.
Every declaration is similar to a SQL CREATE TABLE statement. One can define the name of the table, the schema of the table, a connector, and a data format upfront for connecting to an external system.
The connector describes the external system that stores the data of a table. Storage systems such as Apacha Kafka or a regular file system can be declared here. The connector might already provide a fixed format with fields and schema.
Some systems support different data formats. For example, a table that is stored in Kafka or in files can encode its rows with CSV, JSON, or Avro. A database connector might need the table schema here. Whether or not a storage system requires the definition of a format, is documented for every connector. Different systems also require different types of formats (e.g., column-oriented formats vs. row-oriented formats). The documentation states which format types and connectors are compatible.
The table schema defines the schema of a table that is exposed to SQL queries. It describes how a source maps the data format to the table schema and a sink vice versa. The schema has access to fields defined by the connector or format. It can use one or more fields for extracting or inserting time attributes. If input fields have no deterministic field order, the schema clearly defines column names, their order, and origin.
The subsequent sections will cover each definition part (connector, format, and schema) in more detail. The following example shows how to pass them:
The table’s type (source, sink, or both) determines how a table is registered. In case of table type both, both a table source and table sink are registered under the same name. Logically, this means that we can both read and write to such a table similarly to a table in a regular DBMS.
For streaming queries, an update mode declares how to communicate between a dynamic table and the storage system for continuous queries.
The following code shows a full example of how to connect to Kafka for reading Avro records.
In both ways the desired connection properties are converted into normalized, string-based key-value pairs. So-called table factories create configured table sources, table sinks, and corresponding formats from the key-value pairs. All table factories that can be found via Java’s Service Provider Interfaces (SPI) are taken into account when searching for exactly-one matching table factory.
If no factory can be found or multiple factories match for the given properties, an exception will be thrown with additional information about considered factories and supported properties.
The table schema defines the names and types of columns similar to the column definitions of a SQL CREATE TABLE statement. In addition, one can specify how columns are mapped from and to fields of the format in which the table data is encoded. The origin of a field might be important if the name of the column should differ from the input/output format. For instance, a column user_name should reference the field $$-user-name from a JSON format. Additionally, the schema is needed to map types from an external system to Flink’s representation. In case of a table sink, it ensures that only data with valid schema is written to an external system.
The following example shows a simple schema without time attributes and one-to-one field mapping of input/output to table columns.
For each field, the following properties can be declared in addition to the column’s name and type:
Time attributes are essential when working with unbounded streaming tables. Therefore both processing-time and event-time (also known as “rowtime”) attributes can be defined as part of the schema.
For more information about time handling in Flink and especially event-time, we recommend the general event-time section.
Rowtime Attributes
In order to control the event-time behavior for tables, Flink provides predefined timestamp extractors and watermark strategies.
The following timestamp extractors are supported:
The following watermark strategies are supported:
Make sure to always declare both timestamps and watermarks. Watermarks are required for triggering time-based operations.
Type Strings
Because type information is only available in a programming language, the following type strings are supported for being defined in a YAML file:
Append Mode: In append mode, a dynamic table and an external connector only exchange INSERT messages.
Retract Mode: In retract mode, a dynamic table and an external connector exchange ADD and RETRACT messages. An INSERT change is encoded as an ADD message, a DELETE change as a RETRACT message, and an UPDATE change as a RETRACT message for the updated (previous) row and an ADD message for the updating (new) row. In this mode, a key must not be defined as opposed to upsert mode. However, every update consists of two messages which is less efficient.
Upsert Mode: In upsert mode, a dynamic table and an external connector exchange UPSERT and DELETE messages. This mode requires a (possibly composite) unique key by which updates can be propagated. The external connector needs to be aware of the unique key attribute in order to apply messages correctly. INSERT and UPDATE changes are encoded as UPSERT messages. DELETE changes as DELETE messages. The main difference to a retract stream is that UPDATE changes are encoded with a single message and are therefore more efficient.
Attention The documentation of each connector states which update modes are supported.
Flink provides a set of connectors for connecting to external systems.
Please note that not all connectors are available in both batch and streaming yet. Furthermore, not every streaming connector supports every streaming mode. Therefore, each connector is tagged accordingly. A format tag indicates that the connector requires a certain type of format.
The file system connector allows for reading and writing from a local or distributed filesystem. A filesystem can be defined as:
The file system connector itself is included in Flink and does not require an additional dependency. A corresponding format needs to be specified for reading and writing rows from and to a file system.
Attention File system sources and sinks for streaming are only experimental. In the future, we will support actual streaming use cases, i.e., directory monitoring and bucket output.
The Kafka connector allows for reading and writing from and to an Apache Kafka topic. It can be defined as follows:
Specify the start reading position: By default, the Kafka source will start reading data from the committed group offsets in Zookeeper or Kafka brokers. You can specify other start positions, which correspond to the configurations in section Kafka Consumers Start Position Configuration.
Flink-Kafka Sink Partitioning: By default, a Kafka sink writes to at most as many partitions as its own parallelism (each parallel instance of the sink writes to exactly one partition). In order to distribute the writes to more partitions or control the routing of rows into partitions, a custom sink partitioner can be provided. The round-robin partitioner is useful to avoid an unbalanced partitioning. However, it will cause a lot of network connections between all the Flink instances and all the Kafka brokers.
Consistency guarantees: By default, a Kafka sink ingests data with at-least-once guarantees into a Kafka topic if the query is executed with checkpointing enabled.
Kafka 0.10+ Timestamps: Since Kafka 0.10, Kafka messages have a timestamp as metadata that specifies when the record was written into the Kafka topic. These timestamps can be used for a rowtime attribute by selecting timestamps: from-source in YAML and timestampsFromSource() in Java/Scala respectively.
Kafka 0.11+ Versioning: Since Flink 1.7, the Kafka connector definition should be independent of a hard-coded Kafka version. Use the connector version universal as a wildcard for Flink’s Kafka connector that is compatible with all Kafka versions starting from 0.11.
Make sure to add the version-specific Kafka dependency. In addition, a corresponding format needs to be specified for reading and writing rows from and to Kafka.
For append-only queries, the connector can also operate in append mode for exchanging only INSERT messages with the external system. If no key is defined by the query, a key is automatically generated by Elasticsearch.
Disabling flushing on checkpoint: When disabled, a sink will not wait for all pending action requests to be acknowledged by Elasticsearch on checkpoints. Thus, a sink does NOT provide any strong guarantees for at-least-once delivery of action requests.
Key extraction: Flink automatically extracts valid keys from a query. For example, a query SELECT a, b, c FROM t GROUP BY a, b defines a composite key of the fields a and b. The Elasticsearch connector generates a document ID string for every row by concatenating all key fields in the order defined in the query using a key delimiter. A custom representation of null literals for key fields can be defined.
Attention A JSON format defines how to encode documents for the external system, therefore, it must be added as a dependency.
The JSON format allows to read and write JSON data that corresponds to a given format schema. The format schema can be defined either as a Flink type, as a JSON schema, or derived from the desired table schema. A Flink type enables a more SQL-like definition and mapping to the corresponding SQL data types. The JSON schema allows for more complex and nested structures.
If the format schema is equal to the table schema, the schema can also be automatically derived. This allows for defining schema information only once. The names, types, and field order of the format are determined by the table’s schema. Time attributes are ignored if their origin is not a field. A from definition in the table schema is interpreted as a field renaming in the format.
The following table shows the mapping of JSON schema types to Flink SQL types:
JSON schema
Flink SQL
object
ROW
boolean
BOOLEAN
array
ARRAY[_]
number
DECIMAL
integer
DECIMAL
string
VARCHAR
string with format: date-time
TIMESTAMP
string with format: date
DATE
string with format: time
TIME
string with encoding: base64
ARRAY[TINYINT]
null
NULL (unsupported yet)
Currently, Flink supports only a subset of the JSON schema specificationdraft-07. Union types (as well as allOf, anyOf, not) are not supported yet. oneOf and arrays of types are only supported for specifying nullability.
Simple references that link to a common definition in the document are supported as shown in the more complex example below:
Missing Field Handling: By default, a missing JSON field is set to null. You can enable strict JSON parsing that will cancel the source (and query) if a field is missing.
The Apache Avro format allows to read and write Avro data that corresponds to a given format schema. The format schema can be defined either as a fully qualified class name of an Avro specific record or as an Avro schema string. If a class name is used, the class must be available in the classpath during runtime.
Avro types are mapped to the corresponding SQL data types. Union types are only supported for specifying nullability otherwise they are converted to an ANY type. The following table shows the mapping:
Avro schema
Flink SQL
record
ROW
enum
VARCHAR
array
ARRAY[_]
map
MAP[VARCHAR, _]
union
non-null type or ANY
fixed
ARRAY[TINYINT]
string
VARCHAR
bytes
ARRAY[TINYINT]
int
INT
long
BIGINT
float
FLOAT
double
DOUBLE
boolean
BOOLEAN
int with logicalType: date
DATE
int with logicalType: time-millis
TIME
int with logicalType: time-micros
INT
long with logicalType: timestamp-millis
TIMESTAMP
long with logicalType: timestamp-micros
BIGINT
bytes with logicalType: decimal
DECIMAL
fixed with logicalType: decimal
DECIMAL
null
NULL (unsupported yet)
Avro uses Joda-Time for representing logical date and time types in specific record classes. The Joda-Time dependency is not part of Flink’s distribution. Therefore, make sure that Joda-Time is in your classpath together with your specific record class during runtime. Avro formats specified via a schema string do not require Joda-Time to be present.
The following table sources and sinks have not yet been migrated (or have not been migrated entirely) to the new unified interfaces.
These are the additional TableSources which are provided with Flink:
Class name
Maven dependency
Batch?
Streaming?
Description
OrcTableSource
flink-orc
Y
N
A TableSource for ORC files.
These are the additional TableSinks which are provided with Flink:
Class name
Maven dependency
Batch?
Streaming?
Description
CsvTableSink
flink-table
Y
Append
A simple sink for CSV files.
JDBCAppendTableSink
flink-jdbc
Y
Append
Writes a Table to a JDBC table.
CassandraAppendTableSink
flink-connector-cassandra
N
Append
Writes a Table to a Cassandra table.
OrcTableSource
The OrcTableSource reads ORC files. ORC is a file format for structured data and stores the data in a compressed, columnar representation. ORC is very storage efficient and supports projection and filter push-down.
An OrcTableSource is created as shown below:
Note: The OrcTableSource does not support ORC’s Union type yet.
The CsvTableSink emits a Table to one or more CSV files.
The sink only supports append-only streaming tables. It cannot be used to emit a Table that is continuously updated. See the documentation on Table to Stream conversions for details. When emitting a streaming table, rows are written at least once (if checkpointing is enabled) and the CsvTableSink does not split output files into bucket files but continuously writes to the same files.
JDBCAppendTableSink
The JDBCAppendTableSink emits a Table to a JDBC connection. The sink only supports append-only streaming tables. It cannot be used to emit a Table that is continuously updated. See the documentation on Table to Stream conversions for details.
The JDBCAppendTableSink inserts each Table row at least once into the database table (if checkpointing is enabled). However, you can specify the insertion query using REPLACE or INSERT OVERWRITE to perform upsert writes to the database.
To use the JDBC sink, you have to add the JDBC connector dependency (flink-jdbc) to your project. Then you can create the sink using JDBCAppendSinkBuilder:
Similar to using JDBCOutputFormat, you have to explicitly specify the name of the JDBC driver, the JDBC URL, the query to be executed, and the field types of the JDBC table.
The CassandraAppendTableSink emits a Table to a Cassandra table. The sink only supports append-only streaming tables. It cannot be used to emit a Table that is continuously updated. See the documentation on Table to Stream conversions for details.
The CassandraAppendTableSink inserts all rows at least once into the Cassandra table if checkpointing is enabled. However, you can specify the query as upsert query.
To use the CassandraAppendTableSink, you have to add the Cassandra connector dependency (flink-connector-cassandra) to your project. The example below shows how to use the CassandraAppendTableSink.


I am a Lead Data Scientist
and Machine Learning engineer
with +14 years of international experience in
Defense and Aerospace industries.
I have an entrepreneurial vein, lots
of programming skills, a neck to unlock
value buried in data and a passion
for product development.
Research and Development of future Artificial Intelligence applications for the next generation of autonomous vehicles infotainment system at Ford's R&D laboratory.
The new applications are conceived in a series of proof-of-concepts for the self-driving car including different areas such as Deep Learning, Computer Vision, user recommendation, embedded systems and connectivity with other devices.
Development of an alert system capable of
covertly screening moving individuals for on-body concealed weapons.
Applied Convolution Neural Network and Digital Signal
Processing on radar and magnetic signals.
Mentored Data Science co-ops from University of Toronto for data collection and data analysis.
Got promoted in 3 months to lead a technical team,
reporting directly to VP of Engineering.
Embedded code for automotive cluster: BMW and Continental.
Proofs-of-Concept for Industry 4.0 for manufacturing maintenance including Additive Manufacturing
(3D printer), Augmented Reality and Artificial Intelligence.
Co-founder and CTO of the most attractive Brazilian startup in 2017 during my part-time by offering Augmented Reality app for maintenance.
Commissioning of submarine combat system: IVVQ, STW and FAT.
$200K contract prospected and managed, ending with profit.
Guidance, Control, Navigation for missiles applying sensor fusion with Kalman Filter.
Simulation of jet fighter engine.
Artificial Intelligence product lifecycle, how to conceive a Business Case for Machine Learning, FigureEight online tool for data annotation, Google AutoML for fast Data Science project and online deployment.
Convolutional Neural Network, Recurrent Neural Network, Generative Adversarial Network, Transfer Learning, deploy web app online, reading articles to implement state-of-the-art neural networks.
Supervised, Unsupervised, Reinforcement Learning.
Table merging, data cleaning, visualization, integration with Office 365.
Entrepreneurship, project management, marketing.
Aerodynamics, flight dynamics and control.
Structural analysis, thermodynamics, fluids, simulation and weapon design.
Video Processing
Convolutional Neural Network
Volunteer Work
Google AutoML Cloud Services
Generative Adversarial Networks
Convolutional Neural Networks
Natural Language Processing
Unsupervised Learning
Transfer Learning
Supervised Learning
Reinforcement Learning
Recurrent Neural Network
Unsupervised Learning
Style Transfer


BMLTNAMeetingSearchAddressViewController
class BMLTNAMeetingSearchAddressViewController : UIViewController, MKMapViewDelegate
-
This is the meeting name label across the top.
Declaration
Swift
@IBOutlet weak var meetingNameLabel: UILabel!
-
This is the weekday and time, just below that.
Declaration
Swift
@IBOutlet weak var meetingTimeLabel: UILabel!
-
This text view has the adress information.
Declaration
Swift
@IBOutlet weak var addressTextView: UITextView!
-
If we have comments, they are displayed here.
Declaration
Swift
@IBOutlet weak var commentsTextField: UITextView!
-
This allows us to expand the map if the comments aren’t shown.
Declaration
Swift
@IBOutlet weak var mapTopConstraint: NSLayoutConstraint!
-
This is the map that occupies most of the screen.
Declaration
Swift
@IBOutlet weak var locationMapView: MKMapView!
-
This is the segmented control that lets us select the map type.
Declaration
Swift
@IBOutlet weak var mapTypeSegmentedControl: UISegmentedControl!
-
This is the NavBar button for directions.
Declaration
Swift
@IBOutlet weak var directionsButton: UIBarButtonItem!
-
This is the object that contains our meeting data.
Declaration
Swift
var meetingObject: BMLTiOSLibMeetingNode!
-
This is the location of the search center. We use this to create a map with the right zoom.
Declaration
Swift
var searchCenterCoords: CLLocationCoordinate2D
-
Reacts to the map type control being changed.
Declaration
Swift
@IBAction func mapTypeControlChanged(_ sender: UISegmentedControl)
Parameters
sender
The segmented control that triggered this.
-
We use this to make sure our NavBar has the correct title.
Declaration
Swift
override func viewDidLoad()
-
If we have no comments, then we make the map bigger.
Declaration
Swift
override func viewDidLayoutSubviews()
-
Called as we prepare to bring in the directions controller. We take this opportunity to attach the meeting details to the controller.
Declaration
Swift
override func prepare(for segue: UIStoryboardSegue, sender: Any?)
Parameters
segue
The segue object.
sender
Ignored.
-
Set up our map to show the meeting location.
Declaration
Swift
func setUpMap()
-
This delivers a marker view to the map. We add a button to the callout so we can bring in directions and show the address.
Declaration
Swift
func mapView(_ mapView: MKMapView, viewFor annotation: MKAnnotation) -> MKAnnotationView?
Parameters
mapView
The map view object
viewFor
The annotation object we’ll be creating the view for
Return Value
A marker view.


Disclaimer: This app uses WebRTC. Works best in Chrome.
SUBMIT
Must invite someone before starting game.
Waiting for response.
Play
No
call friend
start game
Wins
clear board


When Kaidon Spare resigned as president, Nick was ready to take the reigns and secure our future as a country. During his time in the white house, President Richardson has passed X executive orders and helped push X bills through congress.
Nicholas Richardson has been working hard since day one.
Whenasa Kaidon Spare resigned as president, Nick was ready to take the reigns and secure our future as a country. During his time in the white house, President Richardson has passed X executive orders and helped push X bills through congress.


This is a paragraph.
This is another paragraph.
Click any p element to make it disappear.
Remove the click.mySomething namespace for all p elements
"click.mySomething" defines the mySomething namespace for this particular click event. This event could be removed by using .off("click.mySomething"), without removing other click handlers attached to the specified element.


Example for `when`:
An alert will appear the
first
time num is "1"
-
+
Example for `whenever`:
An alert will appear
every
time otherNum is "1"
-
+
« Back


{#include index-entry /}
If the OpenAPI and Swagger UI Quarkus extension is included, the /greet REST endpoint generated from the Serverless Workflow will be fully documented in the Swagger UI here.
/greet


I code modular, extensible servers and services using Node.js, JavaScript, Express and RESTful architecture.
Technical Skills
- JavaScript
- Node.js
- Express
- REST
- Superagent
- MongoDB / Mongoose
- HTML5
- CSS3
- JavaScript
- AngularJS
- MVC
- Responsive Web Design
- Bash
- Grunt
- Heroku
- Browserify
- Git / GitHub
- Unit Testing / TDD
Recent Projects
MEAN Stack
MongoDB, Express, AngularJS, Node.js
A production quality Node server ready to extend http(s) routes and your choice of authentication with ease. Paired with a responsive Angular front-end, this project demonstrates REST requests factored out as a service to save on repetitive coding (and mistakes). All a developer needs to do is dependency inject and name the route to match a supported server side path and BOOM, access to MongoDB automatically implementing your choice of security.
Clean server and client-side tests using Mocha/Chai and Jasmine/Karma respectively make for a quick catch of any breaking code. Oh, and just in case fast page loading and minimal file size is on the list of concerns, the build process compresses all the client-side JavaScript into a single bundled file for fast network transfer.
WAGOGE
Wicked Awesome Game of Greater Employment
| Email: | test |
| Password:  | test |
Do you like ambitious people willing to shoot for the stars? Well four developers pulled this off with only seven days. Take a look at the beta build and see what can be done with purely web technology.
WAGOGE is a procedurally generated top-down hack and slash action role playing game boasting refined A-Star pathfinding (AI). There are an infinite number of possible maps to generate and the item and build diversity are stunning.
Technologies:Education
Code Fellows
Certificate, Full-Stack JavaScript Development
Corban University
Bachelor of Science in Pastoral Ministry


MyClass::myMethod
and myObject::myMethod
.
The quick fix for the inspection replaces the method reference with an equivalent lambda expression that invokes the method.
For example, the method reference System.out::println
is replaced with
s -> System.out.println(s)


Donut Content configuration consists of two basic logic elements:
aggregator
- an element that is responsible for processing ALL the metrics in chart and return a single value.
For example, percentageAggregator
- processes all the metrics and takes a percentage of a certain metric (configurable).
formatter
- an element that changes the representation of a single value. In terms of the proportional donut content, processes the output of an aggregator
.
aggregatorType: sumAggregator
aggregatorType: percentageAggregator
aggregatorType: fieldMapper
.
componentType: RawFormatterComponent
%
sign. componentType: PercentageFormatterComponent
number
value using SI system prefixes (k, M, G etc.). For example, 123456789
value will be displayed as 123.5 M
. componentType: SiUnitsFormatterComponent
Before proceeding, to the widget configuration it's necessary to setup the dataSource first. It's necessary for the correct work of the configurator.
DataSource should describe its dataFields
, so be sure to check the DataSource Documentation before proceeding.
Moreover, for the Donut Content configuration it's necessary that dataFieldsConfig
to implement the IProportionalDataFieldsConfig interface, as follows:
Check the code under the source expander for more details.
To configure the donut content you need to set donutContentConfig in donutContentConfig
in the chartOptions
section.
Following config example shows the config for setting Sum aggregation with Si Units Formatter applied to it.
Note: please be aware that this config has top priority over
Having such a configuration, involves having a different configurator section configuration, otherwise the default configuration section won't work!
To setup the Configurator, please check the setupConfigurator dashboard method implementation. You can find the sources under the dashboard source expander.


Employee Management System
Home
Employees Records
Control Panel
Add New Employee
Employee Id :
First Name :
Last Name :
Department :
IT
Human Resources
Marketing
Finanace
Logistics
Department :
IT
Human Resources
Marketing
Finanace
Logistics
Salary :
Hiring Date :
E-mail :
Save


Near and Far
Measuring similarity between points¶
Measuring similarity between points in Machine Learning is a important specifically for pattern recog. and classification to see how close or far two data points are on the projected space.
The metrics of similarities, measure different aspects of similarity and are used for differnet projection spaces. For instance, Euclidean Distance is used for Euclidean geometry like the name suggests and the cosine similarity is used more for a vectors (in word embedding and word vectors).
Eculidean Distance¶
This is the ordinary stright line distance between two points in Euclidean space. This is measure is also referred to as the L^2 norml distance. Smaller the distance, the more alike the points are.
There are a few variations of the formula to calculate the distance:
For Cartesian coordinate¶
The Eculidean Distance between two points $$ p = p_1, p_2,..... p_n $$ $$q = q_1, q_2,..... q_n $$
$$ d(p, q) = d(q, p) = \sqrt{(q_1 - p_1)^2 + (q_2 - p_2)^2+ ... + (q_n - p_n)^2} $$ $$= \sqrt{\sum_{i=1}^{n}(q_i - p_i)^2}$$
For Euclidean vector:¶
The Euclidean normal, or Euclidean length, or magnitude of two Euclidean vectors p and q starting from the origin of the space with their tips ending at the two points (p and q) is:
$$ \lVert p - q \rVert = \sqrt{\lVert p \rVert^2 + \lVert q \rVert^2 - 2 p\cdot q }$$
where $$ \lVert p \rVert = \sqrt{p_1^2 + p_2^2 + ... + p_n^2}$$
import math
def euclidean_distance(p, q):
"""Calculate Euclidean distacnce between two points p, q
Calculates the Euclidean disatnce between two points p and q.
This function assumes that the poinst are in Cartesian coordinate.
Args:
p (:obj: `list` of int or float): This is the first point.
q (:obj: `list` of int or float): This is the second point.
Returns:
int: Distance between the two points.
Raises:
AssertionError: If p and q are not of the name dimentionality.
AssertionError: If the list don't have elements of type int or float
Example:
dist = euclidean_distance([1,2,3], [4,5,6])
"""
if len(p) != len(q):
raise AssertionError("p and q should of same length i.e. they should have the same dimentions")
if not all(isinstance(p_, (int, float)) for p_ in p):
raise AssertionError("All elements of the parameters passes should be of type int or float")
if not all(isinstance(q_, (int, float)) for q_ in q):
raise AssertionError("All elements of the parameters passes should be of type int or float")
#int: Summation of all the squared differences between the two points.
summation = 0
for x,y in zip(p,q):
diff_sq = (x-y)**2 #int: The square of the difference between each dimention.
summation += diff_sq
return math.sqrt(summation) #int: Square root of the summations of the square of the differences.
euclidean_distance([1,2,3], [4,5,6])
Manhattan distance¶
The distance between two points is the sum of the absolute distance of their Cartesian coordinates. The measure is along right angles.
Note: While Euclidean distances are stright line distance, Manhattan distance is always measured in right angles. Thus Manhattan distances are usually greater or equal to Euclidean distance.
This metric has different names. Some of them are taxicab distance, or L1 normal.
Mathamaticaly Manhattan distance is defined as d1, between two vectors p, q is the sum of the lengths of the projections of the line segments between the points onto the coordinate axes.
$$d_1(\textbf{p}, \textbf{q}) = \| \textbf{p} - \textbf{q} \|_1 = \sum_{i=1}^n|p_i - q_i| $$
where p = ($p_1, p_2, ..., p_n$) and q = ($q_1, q_2, ..., q_n$)
def manhattan_distance(p,q):
"""Calcualtes the Manahattan Distance between the points p and q
This function assumes that the poinst are in Cartesian coordinate.
Args:
p (:obj: `list` of int): This is the first point.
q (:obj: `list` of int): This is the second point.
Returns:
int: Distance between the two points.
Raises:
AssertionError: If p and q are not of the name dimentionality.
AssertionError: If the list don't have elements of type int or float
Example:
dist = manhattan_distance([1,2,3], [4,5,6])
"""
if len(p) != len(q):
raise AssertionError("p and q should of same length i.e. they should have the same dimentions")
if not all(isinstance(p_, (int, float)) for p_ in p):
raise AssertionError("All elements of the parameters passes should be of type int or float")
if not all(isinstance(q_, (int, float)) for q_ in q):
raise AssertionError("All elements of the parameters passes should be of type int or float")
#int: Summation of all the squared differences between the two points.
summation = 0
for x,y in zip(p,q):
diff_abs = abs(x-y) #int: The absolute of the difference between each dimention.
summation += diff_abs
return summation #int: Summations of the absolute of the differences.
manhattan_distance([1,2,3], [4,5,6])
Chebyshev Distance¶
Also known as Tchebychev distance, maximum metric is where distance between two vectors is greatest of thiir difference along any coordinate dimention.
Formal defination:¶
The Chebyshev Distance between two vectors or points p and q, with standard coordinates $p_i$ and $q_i$ respectively is
$$D_Chebyshev(p,q) := max_{\substack{i}}(|p_i - q_i|)$$
This equals the limit of the L_p metrics:
$$\lim_k \to \infty (\sum_i=1^n |p_i - q_i|^k)^1/k$$
Hence it is called $$L_\infty$$
def chebyshev_distance(p,q):
"""Calcualtes the Chebyshev Distance between the points p and q
This function assumes that the poinst are in Cartesian coordinate.
Args:
p (:obj: `list` of int): This is the first point.
q (:obj: `list` of int): This is the second point.
Returns:
int: Distance between the two points.
Raises:
AssertionError: If p and q are not of the name dimentionality.
AssertionError: If the list don't have elements of type int or float
Example:
dist = chebyshev_distance([1,2,3], [4,5,6])
"""
if len(p) != len(q):
raise AssertionError("p and q should of same length i.e. they should have the same dimentions")
if not all(isinstance(p_, (int, float)) for p_ in p):
raise AssertionError("All elements of the parameters passes should be of type int or float")
if not all(isinstance(q_, (int, float)) for q_ in q):
raise AssertionError("All elements of the parameters passes should be of type int or float")
#list of `int or float`: List of absolute difference between the points.
diffLst = []
for x,y in zip(p,q):
diffLst.append(abs(x-y)) #int: The absolute of the difference between each dimention.
return max(diffLst) #int: Maximun differnce.
chebyshev_distance([1,2,3], [4,5,6])
Minkowski Distance¶
All the above distances are a spacial case of Minkowski distance. Mathmatically it can be represented as:
For two points $$p = (p_1, p_2, ..., p_n)$$ $$q= (q_1, q_2, ..., q_n)$$
$$D(p,q) = (\sum_i=1^n|p_i - q_i|^k)^{1/k}$$
The values that is usually assigned to k is either 1 or 2 and the limiting factor p reaching infinity we observer Chebyshev distance.
def minkowski_distance(p, q, k):
"""Calcualtes the Minkowski Distance between the points p and q given the value of k.
This function assumes that the poinst are in Cartesian coordinate.
Args:
p (:obj: `list` of int): This is the first point.
q (:obj: `list` of int): This is the second point.
k (int): This is the power to which the difference is raised.
Returns:
int: Distance between the two points.
Raises:
AssertionError: If p and q are not of the name dimentionality.
AssertionError: If the list don't have elements of type int or float
Example:
dist = minkowski_distance([1,2,3], [4,5,6], 1)
"""
if len(p) != len(q):
raise AssertionError("p and q should of same length i.e. they should have the same dimentions")
if not all(isinstance(p_, (int, float)) for p_ in p):
raise AssertionError("All elements of the parameters passes should be of type int or float")
if not all(isinstance(q_, (int, float)) for q_ in q):
raise AssertionError("All elements of the parameters passes should be of type int or float")
#int: Summation of all the squared differences between the two points.
summation = 0
for x,y in zip(p,q):
diff_sq = abs((x-y))**k #int: The square of the difference between each dimention.
summation += diff_sq
return (summation)**(1/k) #int: kth root of the summations of the kth power of the differences.
minkowski_distance([1,2,3], [4,5,6], 1)
minkowski_distance([1,2,3], [4,5,6], 2)
Cosine Similarity¶
Cosine similarity is a measure of similarity between two non-zero vectors of an inner product space that measures the cosine of the angle between them. The cosine of 0° is 1, and it is less than 1 for any angle in the interval (0,π] radians. If the value of this distance is closer to 1, the vectors are similar. If the value is closer to -1, the vectors are dissimilar.
Defination:¶
The cosine of two non=zero vectors A and B can be determined using:
$$A \cdot B = \|A\| \|B\| \cos\theta$$
$$\cos(\theta) = \frac{A \cdot B}{\|A\| \|B\|} = \frac{\sum_{i=1}^n{A_iB_i}}{\sqrt{\sum_{i=1}^n{A_i^2}}\sqrt{\sum_{i=1}^n{B_i^2}}}$$
where $A_i$ and $B_i$ are the components of vector A nad B respectively
from math import sqrt
def cosine_similarity(A, B):
"""Measures the cosine similarity between two vectors A and B.
Args:
A (:obj: `list` of int): This is the first vector.
B (:obj: `list` of int): This is the second vector.
Returns:
int: Distance between the two points.
Raises:
AssertionError: If A and B are not of the name dimentionality.
AssertionError: If the list don't have elements of type int or float
Example:
similarity = cosine_similarity([1,2,3], [4,5,6])
"""
if len(A) != len(B):
raise AssertionError("Parameters should of same length i.e. they should have the same dimentions")
if not all(isinstance(A_, (int, float)) for A_ in A):
raise AssertionError("All elements of the parameters passes should be of type int or float")
if not all(isinstance(B_, (int, float)) for B_ in B):
raise AssertionError("All elements of the parameters passes should be of type int or float")
AxB = 0 #Sum of product of vector A and B
AxA = 0 #Sum of product of vector A and A
BxB = 0 #Sum of product of vector B and B
for a,b in zip(A,B):
AxB += a*b
AxA += a**2
BxB += b**2
similarity = AxB/(sqrt(AxA) * sqrt(BxB))
return similarity
cosine_similarity([1,2,3], [100,5,120])
Jaccard Distance¶
Jaccard Index is defined as the size of the intersection divided by the size of the union of two sample sets. If the two sets are empty, then the index is 1.
Jaccard distance is 1- Jaccard index. Jaccard distance is the measure of dissimilarity between the two sets/ vectors.
For vectors x,y where $x= (x_1, x_2, ... , x_n)$ and $y = (y_1, y_2, ..., y_n)$, the Jaccard index and distance is defined as:
$$J(x,y) = \frac{\sum_i min(x_i, y_i)}{\sum_i max(x_i, y_i)}$$
$$d_j(x, y) = 1 - J(x,y)$$
def jaccard_distance(x, y):
"""
Calculates the Jaccard distance between two real value vectors x and y.
Args:
x: (:obj: `list` of int or float) The first vector.
y: (:obj: `list` of int or float) The second vector.
Return:
int: Jaccard Distance between vector x and y
Raises:
AssertionError: If x and y are not of the name dimentionality.
AssertionError: If the list don't have elements of type int or float
Example:
similarity = jaccard_distance([1,2,3], [4,5,6])
"""
if len(x) != len(y):
raise AssertionError("Parameters should of same length i.e. they should have the same dimentions")
if not all(isinstance(x_, (int, float)) for x_ in x):
raise AssertionError("All elements of the parameters passes should be of type int or float")
if not all(isinstance(y_, (int, float)) for y_ in y):
raise AssertionError("All elements of the parameters passes should be of type int or float")
sumMin = 0
sumMax = 0
for x_, y_ in zip(x, y):
sumMin+= min(x_, y_)
sumMax += max(x_, y_)
return 1 - (sumMin/sumMax)
jaccard_distance([1,2,3], [4,5,6])


As Promised, my FIRST & PERHAPS ONLY #Bitcoin Trade this Year.
Short 1 $BTCUSD at 5x Leverage for March 2019 Expiry. Full account Liquidation at $7,650 (above last swing high) -> Take Profit at $5k, Lower Stop Loss at at $5,750.
10% Off Affiliate Shill --> https://t.co/Ujz...
Likes
433
Acura15-Oct-18 01:31 PM
rekt
ComputerGenie 👴👴👴15-Oct-18 01:34 PM
Someone explain markets to me...
yesterday @ 15.6-16k, I couldn't give KMD away and at now at 17.5 there's a 2M buy wall? dafuq?(edited)
Cryptoon15-Oct-18 01:37 PM
Yeah
Whale saw that you were lowball selling
Decided to punish your selling by trolling you
and buying higher later
Because that is how it works
Buy high, sell low
YOU INFIDEL
ComputerGenie 👴👴👴15-Oct-18 01:38 PM
meh, all my cheap was just PIRATE rollover rerent, but I just never understand when markets move a ton
1
Cryptoon15-Oct-18 01:39 PM
Nobody does
sφldat15-Oct-18 01:39 PM
some Tether whales open their eyes to KMD maybe
2
plus a discovery of the 5% kmd reward, the market is moving slowly but surely
ComputerGenie 👴👴👴15-Oct-18 01:42 PM
imagines a world where investors make informed decisions and KMD gets the recognition that it deserves
Good news. It's raining $KMD in our Discord today. Check out the #tipbot channel. Type '!kmdtip' for a list of actions or '!kmdtip balance' to see your $KMD balance. The tipbot is a smart bot through which anybody can tip anyone. https://t.co/U26fi0lcI0 #cryptotwitter #cry...
1
5
i am dead!!
lol this GIF
ComputerGenie 👴👴👴15-Oct-18 01:45 PM
loves how much "free" stuff he gets to purchase when FOMO-fever hits
*Last Updated: October 15th, 2018
Bittrex now supports eligible personal and corporate accounts for US Dollar (USD) trading, USD deposits, and USD withdrawals. Identity verified (personal or corpo...
ComputerGenie 👴👴👴15-Oct-18 09:46 PM
All transfers are manually done, no automation --- meaning you send bank tx and wait for them to manually process (like as if it was still 1990)


25 year-old, French, PhD Student, Photographer, Traveler, Art lover — One pixel in a bigger picture.
I roam the World, craving for new encounters and lost paradises. Photography is my way to celebrate each day.
Travel, Nature, Urbex, Fine Art, ... Whatever the subject, whatever the process. Each picture is a story, and I hope you'll enjoy mine.


Poland's opposition wins speaker seat in upper house of parliament
WARSAW (Reuters) - The Polish opposition secured the post of Senate speaker in a parliamentary vote on Tuesday seen as a test of its ability to retain control of the upper house after winning it in an Oct. 13 general election.
The loss of the Senate was a blow to the ruling Law and Justice (PiS) party because that could delay some of its legislative ambitions. These include further changes to the justice system, which have concerned the European Union.
Since the election, Polish media have reported that PiS had made overtures to opposition senators in an attempt to establish a working majority.
In Tuesday’s vote for speaker, the opposition candidate, centrist Civic Platform’s (PO) senator Tomasz Grodzki, a 61-year-old surgeon, won 51 votes, while the PiS’ candidate Stanislaw Karczewski received 48 votes in the 100-member Senate. One lawmaker refrained from voting.
“This is a victory of democracy,” Grodzki told the Senate.
During its first term in power PiS, accused by the EU of subverting the rule of law, gained a reputation for pushing through bills at breakneck speed, with hastily called late-night lower house sittings followed by quick approval from the Senate.
“Taking over the Senate means very severe strengthening of the opposition. For the PiS every vote lost in the Senate is an image loss,” said Warsaw University sociologist Jacek Haman.


Why Use Rails for JSON APIs?
- The reason most people use Rails is that it provides a set of defaults that allows developers to get up and running quickly, without having to make a lot of trivial decisions
Creating a new application
- $ rails new my_api –api
- it will do 3 main things for you:
- not done
- not done
- not done
Changing an existing application
- In config/application.rb: config.api_only = true
- In config/environments/development.rb: config.debug_exception_response_format = :default (it will set to :api when config.api_only is ‘true’)
- inside app/controllers/application_controller.rb:
– class ApplicationController < ActionController::API
– end
Choosing Middleware
An API application comes with the following middleware by default:
- Rack::Sendfile
- ActionDispatch::Static
- ActionDispatch::Executor
- ActiveSupport::Cache::Strategy::LocalCache::Middleware
- Rack::Runtime
- ActionDispatch::RequestId
- ActionDispatch::RemoteIp
- Rails::Rack::Logger
- ActionDispatch::ShowExceptions
- ActionDispatch::DebugExceptions
- ActionDispatch::Reloader
- ActionDispatch::Callbacks
- ActiveRecord::Migration::CheckPending
- Rack::Head
- Rack::ConditionalGet
- Rack::ETag
- MyApi::Application::Routes
Using the Cache Middleware
- using the stale? method: will compare the If-Modified-Since header in the request with @post.updated_at. If the header is newer than the last modified, this action will return a “304 Not Modified” response. Otherwise, it will render the response and include a Last-Modified header in it.


Flurry of Knives
Learn to throw additional knives at once and cut down enemies with a lethal flurry of razor-sharp metal.
${value} Energy Cost
15 18 18 21 21 24 24 27 27 30
${value} Projectile(s)
1 2 2 3 3 4 5 6 7 8
+${value}% Pierce Damage
25.5 30 34.5 39 43.5 48 52.5 57 61.5 66
MaxLevel
6
UltimateLevel
10