In this project, we'll make a simple old-fashioned calculator that can do addition, subtraction, multiplication, division, and more.
1. Add a title to your new page.
2. Create a grid of buttons for your calculator. You need numbers from 0 to 9; operators for addition, subtraction, multiplication, and division; and a period and an equals button.
3. Above the buttons, create an empty span
or div
. This will be the space for the screen.
4. In JavaScript, make it so that when the "0" button is clicked, "0" appears on the screen.
5. Now make it so that when any number button is clicked, it gets added to the screen.
6. Do the same for every other button except equals.
7. Next to the screen, or under the keypad, create a "delete" button.
8. Make it so that when the "delete" button is clicked, one character at a time gets deleted from the screen.
9. Next to the "delete" button, make a "clear" button.
10. When the "clear" button is clicked, make it clear the whole screen.
11. When the equals button is clicked, make it do what's on the screen.
Hint: check out eval()
12. Add style to your page with CSS!
13. Save and share your project!


Canon Service Tool V3200 Free Download Error And Reset
Solved How To Fix Error 006 In Canon Service Tool Fixya
Service Tool V3400 Youtube
How To Reset Canon Ip2770 With Service Tool V3400
Reset Tool 3400 Lasopasen
Download Canon Service Tool V3400 For Maintenance And Reset Printer Canon Service
Canon Service Tool Instructions Printerknowledge Laser 3d Inkjet Printer Help
Service Tool V3400 Download Peatix
All Categories Freakshara
Canon Service Tool V3600 Download For Free Error And Reset
V5105 Canon Service Tool For All Gxxxx Series Mxxxxx Series Ipxxxx Series Ix Series Mgxxxx Series Mp Series Latest 2018 Version Service Manuals Download Service
Service Tool V3400 Resetter Software Download Photo Printer Best Printers Inkjet Printer
Fillable Online Allsh Univ Amu Download Service Tool V3400 Free Full Version Fax Email Print Pdffiller
Canon Service Tool V3400 Resetter Printer Computing Windows Vista


Welcome to
Gamers United
We are a group of gamers who're dedicated to get the best components right to your doorstep. We provide the best wholesale price which no retailer can beat. We currently deal in internal components and will soon be expanding to gaming accessories. We accept bulk orders, so make sure to Contact Us for the best price. You love gaming, we love getting you game ready.
Our Products
Processor
The CPU (Central Processing Unit) is what makes your computer run. The CPU routes instructions from one system in your computer to another. The better the processor, the faster it can transmit information for both software and hardware functions.
Motherboard
The motherboard is where all the hardware in your computer lives. The most important thing about a motherboard is its compatibility with the parts you choose. Motherboards can also have integrated graphics cards, Wi-Fi systems and more.
Graphics Card
Arguably the most important component in a gaming rig, the GPU (graphics processing unit) renders images from your PC and puts them on your monitor. More powerful GPUs facilitate better in-game graphics and settings.
RAM
RAM (Random Access Memory) determines how much data your computer can process at any given moment. To oversimplify things considerably, RAM is where your computer stores information it needs to access right away. The more RAM you have, the more efficiently your computer can process lots of information — helpful for productivity; essential for games.
Power Supply
Possibly the least interesting and most vital piece of the PC puzzle, the PSU (Power Supply Unit) is exactly what it sounds like: It gets electricity from an outlet to individual systems in your computer. Picking the right one can be tricky, but once you do, you’ll probably never need to think about it again.
Storage
PC storage essentially comes in two flavors: Solid state drives (SSDs) and hard disk drives (HDDs). Either way, it’s where your files live when they’re not in use. Faster the storage, lower the loading times. SSDs are fast and HDDs are big, so make sure to get the best of both worlds.


Warren Code
is Associate Director of the Science Centre for Learning and
Teaching in the Faculty of Science at the University of British
Columbia, with a key responsibility being coordination and
leadership of the Carl Wieman
Science Education Initiative, whose mission is to improve
science education at UBC and disseminating results for others. He
has built on his PhD in Mathematics and the teaching from that
time to pursue undergraduate math and science education research
and its implications for teaching and learning.


Equipment:
Tent, sleeping bags, backpack pillows, food, knife, thermos, ice chest, microwave, converter, tablet, portable tv, credit card, power strip, fridge, fan, hair dryer, lamp, hair straightner, makeup mirror, bath robes, hair gel, shower caps, ottoman, chaise lounge, DVD player (or Roku), laptop, phone charger, glamping bedding, duvets, artisan cheese, champagne, sun scarves, drone, scrapbook and glue, comfort throw, blunting, massage table, essential oils, waffle iron, blender
Weather:
Best between several walls and overhead canopy
The Experience
Glamping, though not for everybody, requires a certain skillset. Not for the faint of heart, this adventurous
activity can leave you with a memory card full of selfies to commemorate that time you went outside.
Many prefer the pristine wilderness of mountain lodges whereas others find themselves at home within he
confines of an RV.


Symbol Index for "Agency Suspended"
Symbol Index for diagram
"Agency Suspended"
Agency Active (Class)
Agency Ended (Class)
Agency Proposed (Class)
Agency Suspended (Class)
Agent State (Class)
Agent/lifespan (Generalization Node)


Time
Lecture:Weekly Topics:
The scores you receive on the various graded tasks in the class will be weighted as follows:
| 10% | Class Participation (Team) |
| 30% | Assignments |
| 30% | In Class Quizes |
| 30% | Final exam |
| 5% | Labs(Bonus) |
| 100% | Your total score for the class |
Grades are assigned based on the standard curve: 90-100 A, 80-89 B, 70-79 C, 60-69 D, below 60 F. If necessary a curve will be used. The final score will not exceed 100. Coding for labs will be calculated as bonus points (max: 5) at the end of the semester. If your grade is 97, then you get 100 for the course (i.e., if your final score is greater than 100, it is taken as 100).
Late policy: Late submission beyond the deadline will not receive full credit earned in general, unless a University sanctioned excuse is provided ahead of time. In general, late submission will be penalized with a loss of 25% of the total points earned per day late. Partial credit will be given based on the work submitted. For teamwork, late submissions will affect all team members. After grades distributed/returned, there is one week time limit to notify the instructor of any questions or concerns in the grading.
Make-up policy: Make-ups for quizzes, assignments and exams will be given only under circumstances beyond student’s control (a university sanctioned excuse). Prior arrangements with the instructor must be made when feasible and official verification of circumstances necessitating the absence will be required.
Americans with Disabilities Act (ADA) Policy Statement: The Americans with Disabilities Act (ADA) is a federal anti-discrimination statute that provides comprehensive civil rights protection for persons with disabilities. Among other things, this legislation requires that all students with disabilities be guaranteed a learning environment that provides for reasonable accommodation of their disabilities. If you believe you have a disability requiring an accommodation, please contact Disability Services, currently located in the Disability Services building at the Student Services at White Creek complex on west campus, or call<PHONE_NUMBER>. For additional information visit http://disability.tamu.edu.
Academic Misconduct: Collaboration on coursework is forbidden except where specifically specified as "Team" activities. In general, one team may not collaborate with another team on "Team" activities. As commonly defined, plagiarism consists of passing off as one's own the ideas, work, writings, etc., that below to another. In accordance with this definition, you are committing plagiarism if you copy the work of another person and turn it in as your own, even if you have the permission of the person. Plagiarism is one of the worst academic sins, for the plagiarist destroys the trust among colleagues without which research cannot be safely communicated. Students violating this policy will be subject to procedures described in Section 20 (Academic Misconduct) of the current edition of the Texas A&M University Student Rules (http://student-rules.tamu.edu).
Academic Integrity Statement: "An Aggie does not lie, cheat, or steal or tolerate those who do." Upon accepting admission to Texas A&M University, a student immediately assumes a commitment to uphold the Honor Code, to accept responsibility for learning and to follow the philosophy and rules of the Honor System. Students will be required to state their commitment on examinations, research papers, and other academic work. Ignorance of the rules does not exclude any member of the Texas A&M University community from the requirements or the processes of the Honor System. For additional information, please visit http://aggiehonor.tamu.edu. On all course work, assignments, and examinations at Texas A&M University, the following Honor Pledge shall be preprinted and signed by the student: "On my honor, as an Aggie, I have neither given nor received unauthorized aid on this academic work."
Copyrights: The materials in this course are copyrighted. This includes Web site content, class slides, text, papers, syllabi, projects, homework, handouts, textbook, etc. Because these materials are copyrighted, it is illegal for you to copy the handouts, unless expressly granted permission. Note that there are several copyright holders, so permission must be granted by the appropriate source.


Let's Groove
Welcome to the game!
Repeat the pattern to prove that you not a loser!
Start
Stop
Chances Left: 3


The trigger plugin is a collection of rules that allows to set variables dependent on some events.
First you have to understand how the Variables System works and know about the terminology, so start with reading about Variables.
Simple triggers set a key to an expression whenever a specific event occurs on the current element. These are click, mouseover, mouseout, focus and blur.
Trigger bindings set a key to the status of an element. Available are hover and focus.
A key is bound to the position of the element relative to the scroll area. There are five different states an element can obtain: visible, top, bottom, left and right. For example top means that the element has left the visible area of the scroll area to the top.
Adds a trigger to the current element. Everything is interpreted in the context of the current element.
| Arguments: |
|
|---|---|
| Returns: | An object providing enable and disable functions. |
Adds a trigger binding to the current element. Everything is interpreted in the context of the current element.
The key is set to the current status of the current element whenever the status has changed.
| Arguments: |
|
|---|---|
| Returns: | An object providing enable and disable functions. |
Adds a trigger binding to the current element. Everything is interpreted in the context of the current element.
The key is set to the current status of the current element whenever the status has changed.
| Arguments: |
|
|---|---|
| Returns: | An object providing enable and disable functions. |


Motions, elections or simply a list of speakers: Everything can be projected on a canvas. All you need is a browser.
OpenSlides is a free, web based presentation and assembly system for managing and projecting agenda, motions and elections of an assembly.
OpenSlides helps to prepare and performe your assembly. You can manage agenda items, motions, elections, lists of speakers, documents and participants. Everything can be projected to the screen.
Project, control, participate – Everything for your paperless assembly in one software!
Motions, elections or simply a list of speakers: Everything can be projected on a canvas. All you need is a browser.
Our backend enables you to manage your slides on-the-fly while assembly sees the projector in fullscreen.
Integrate the plenum! Give access to participants on their own devices (to submit motions or recall voting results).
Be flexible: Add, modify or move agenda items during operation.
Save paper: Submit and manage motions and voting results digitally.
Accelerate the procedure: Generate ad hoc ballots for your secret elections.
Windows:
MacOS · Linux:
Windows:
MacOS · Linux:
2.3
Chat with our OpenSlides developers via IRC network
freenode
.
#openslides
(
#openslides.de
(
Tweet your experience with OpenSlides and mention @openslides.
Get source code, report issues or read wiki pages on GitHub.
Help translating the UI or website of OpenSlides by using Transifex.
<EMAIL_ADDRESS>You are looking for customisations and support for OpenSlides? Look at our service page and request our contact person:
Emanuel Schütze
Intevation GmbH
Neuer Graben 17
D-49074 Osnabrück
<EMAIL_ADDRESS>+49 541 335083-746


last updated: 17 February 2016
This page has a lang attribute set to the wrong language
This page has no title element
This page has no h1
This page has a div which is being styled to look like an H1


In spite being Italy's second largest port and a busy cruise ship terminal, this town has many attractions. Its old city with it maze of canals is not to be missed. In addition, it is an ideal stopver if planning to visit Florence.
Position 43°18.1’ N, 10°29.1’ E.
This is a Port of Entry.
The principal berthing for yachts is in the Porto Mediceo in the heart of the town.
The is an anchorage NE of the southern breakwater, off Porticolo Nazano Saura in about 2 - 3 m. Suitable only in settled weather. The marina of darsena Toscana is also here, but it is not known if they accept visitors.
A quieter alternative is the modern marina at Rosignana, south of Livorno.
Last updated June 2011.


We're sorry but vuejs-cookbook-app doesn't work properly without JavaScript enabled. Please enable it to continue.


com.google.ical.values
Class WeekdayNum
java.lang.Object
com.google.ical.values.WeekdayNum
public class WeekdayNum
- extends java.lang.Object
represents a day of the week in a month or year such as the
third monday of the month. A negative num indicates it counts from the
end of the month or year.
Each BYDAY value can also be preceded by a positive (+n) or negative
(-n) integer. If present, this indicates the nth occurrence of the
specific day within the MONTHLY or YEARLY RRULE. For example, within
a MONTHLY rule, +1MO (or simply 1MO) represents the first Monday
within the month, whereas -1MO represents the last Monday of the
month. If an integer modifier is not present, it means all days of
this type within the specified frequency. For example, within a
MONTHLY rule, MO represents all Mondays within the month.
- Author:
-<EMAIL_ADDRESS>(Mike Samuel)
| Methods inherited from class java.lang.Object |
clone, finalize, getClass, notify, notifyAll, wait, wait, wait |
num
public final int num
wday
public final Weekday wday
WeekdayNum
public WeekdayNum(int num,
Weekday wday)
- Parameters:
num
- in -53,53wday
- non null.
toIcal
public java.lang.String toIcal()
toString
public java.lang.String toString()
- Overrides:
toString
in class java.lang.Object
equals
public boolean equals(java.lang.Object o)
- Overrides:
equals
in class java.lang.Object
hashCode
public int hashCode()
- Overrides:
hashCode
in class java.lang.Object
Copyright (C) 2008 Google Inc.
Licensed under the Apache License, Version 2.0


{{localize 'CalendarSettings'}}
{{localize 'CurrentDay'}}
Year:
Era:
Time:
:
:
{{localize 'AM'}}
{{localize 'PM'}}
Weekdays
Name
Current Weekday
Delete
{{#each daysOfTheWeek as |item|}}
{{/each}}
Add Weekday
Months
Name
Length
Current Month
Intercalary
Abbreviation
Delete
{{#each months as |month|}}
{{/each}}
{{localize 'AddMonth'}}


Apple iMac with Retina 5K display reviw
Apple iMac with Retina 5K display reviw
Apple iMac with Retina 5K display reviw
Apple iMac with Retina 5K display reviw
Apple iMac with Retina 5K display reviw
Apple iMac with Retina 5K display reviw
13,000+ people Have Bought Our Theme
Junary 30 2015 Don't act so suprised, Your Highness, you weren't time. Several.... Read More ..Top Search Engine Optimization Strateges!
© Juanuay 26, 2015Top Search Engine Optimization Strateges!
© Juanuay 26, 2015Top Search Engine Optimization Strateges!
© Juanuay 26, 2015Imagine Losing 20 Pounds In 14 Dasys!
© Swptember 24, 2014 Don't act so suprised, Your highness mission ths time. Several.... Read More ..
Used Car Dealer Sales Tricks Exposed
© Junary 30 2015 Don't act so suprised,in any mercy mission ths time. Several.... Read More ..Simple Way to reduce in Your wirnkless
© Junary 30 2015Unlock The Secers Of Selling Items
© April 24, 2014Hello World!
© Juanuay 26, 2015Top Search Engine Optimization Strateges!
© Juanuay 26, 2015Top Search Engine Optimization Strateges!
© Juanuay 26, 2015THE BEST NEW WORDPRESS NEWS THEME
LOVED BY 15,000+ SATISFIED USERSOur 2videos
Subscribe13,00+ People Have Bought Our Theme
January 30,2015 5Which Company Would You Choose?
January 25,2015 5Nexus6 review
January 30,2014 5Hello World!
July 19,2017 5Simple Ways To Raduce Your Unwanted Wrinkles!
May 24,2014 5Scientists Finds Breakthrough Weight!
©May 24,2014Ten Reason to start your own proflio Website
©May 24,201413,000+ People Have Bought Our Theme
©January 30,201513,000+ People Have Bought Our Theme
©January 30,201513,000+ People Have Bought Our Theme
©January 30,2015Hello World!
©May 24,201413,000+ People Have Bought Our Theme
Scientists Finds Breakthrough Weight!
©May 24,2014Scientists Finds Breakthrough Weight!
©May 24,2014Scientists Finds Breakthrough Weight!
©May 24,2014


这里是中国江西省南昌市的市中心
八一广场
每当春节期间
这里都是人们出游观赏的首选地方
因为这里是南昌市装点最美的地方
只要是节日或者新春佳节时期
市政府城市绿化亮点工程管理处
会把这个地方装扮的非常美
全部都是新鲜植物花草
编制的各种造型图案
还有生肖图案
你现在看到的这张照片
是我家熊孩纸拍的照片
我和妈妈站着的身后是一个大花篮
特别好看
这是我和妈妈最开心的时候
我紧紧抱住我的妈妈
她会特别开心和我合影
因为我妈妈也是个很爱美的女人喔😄
和妈妈抱着的那一刻
是妈妈和我最美丽绽放光芒的瞬间
妈妈和我玩的都很开心🤗
This is the city center of Nanchang, Jiangxi Province, China. Bayi Square Every Spring Festival This is the preferred place for people to go sightseeing. Because this is the most beautiful place in Nanchang. As long as it’s a festival or a New Year’s Festival Urban Greening Highlights Project Management Office of Municipal Government The place will be beautifully decorated It’s all fresh plants, flowers and plants. Various Modeling Patterns Prepared And the zodiac pattern. The picture you see now It’s a picture of my Bear Boy Paper. Behind my mother and I stood a big basket of flowers. It was very beautiful. This is the happiest time for me and my mother. I held my mother tightly She’ll be very happy to take a picture with me.  Mum and I had a good time.
This is my entry for the #TravelPhotoContest by @lightcaptured
This page is synchronized from the post: 我和妈妈的美好瞬间🤗My mom and I had a wonderful moment


Welcome to my fabulous etch-a-sketch web-app.
Draw by holding down x.
Select a different color by holding down c, hover over the color of your choice and release c.
Toggle pen transpanecy with z
If you wish to see this window again, press h.
toggle special hue with v (feature only works with transparency enabled)
If you wish to change the resolution of the canvas, enter a number between 2 and 100 in the field below and click reset.
©2019 Daniel Prince


Angélique Kidjo, Burna Boy and Trevor Noah get Grammy nod for 2020
In Summary
Africa is heavily represented for the 2020 Grammy Awards as Angélique Kidjo, Burna Boy & Trevor Noah have been nominated for famous show.
Schedule for January 27, 2020, at the Staples Center and will be hosted by the popular pop star, Alicia Keys. Burna Boy is nominated alongside Angélique Kidjo in the Best World Music Album category for African Giant and Celia respectively.
Meanwhile, Trevor Noah will be competing in the Best Comedy Album category with Son of Patricia. The three African entertainers have had a superb year with their solo projects, Trevor Noah became the first African to sell out the Madison Square Garden, United States while Burna Boy also became the first African to fill the Wembley Arena in the United Kingdom.


This example uses the v2 of the protocol with Azure AD B2C in order to enable signup/signin operations with other identity providers, such as Facebook.
More details:
App model v2:
https://azure.microsoft.com/en-us/documentation/articles/active-directory-v2-compare/
Tokens in B2C:
https://azure.microsoft.com/en-us/documentation/articles/active-directory-b2c-reference-tokens/
OpenID Connect reference for B2C:
https://azure.microsoft.com/en-us/documentation/articles/active-directory-b2c-reference-oidc/
Policies in B2C:
https://azure.microsoft.com/en-us/documentation/articles/active-directory-b2c-reference-policies/
Your App ID:
(leave blank to use sample application ID)
Initialize
Tests:
logout
Is user logged in?
WhoAmI?


You can give this visualisation SQL access to any dataset that you have access to. You cannot remove access from datasets that are available to all Data Workspace users.
The tables of each dataset are listed in the format "schema"."table".
{% for dataset, tables in datasets %}
{% endfor %}
{% for pipeline, tables in pipelines %}
{% endfor %}


SENSE AND SENSIBILITY A film review by Ben Hoffman Copyright 1995 Ben Hoffman
On first hearing about SENSES AND SENSIBILITY, written by Jane Austen 200 years ago, (her first novel), the screenplay by Emma Thompson (her first screenplay) and directed by the Taiwanese Ang Lee (THE WEDDING BANQUET, EAT DRINK MAN WOMAN), one could not help but wonder what the film might turn out to be. Put away your fears. The combination, along with some fine acting, has emerged as probably the best film of the year.
Lots of things have changed in 200 years. They had no cars, no TV, etc., and their lifestyles were very much different than is ours today. But emotions have not had a metamorphosis. Then, as now, there were good people and bad, the selfish and the generous, and through it all was "love" and desire and decorum.
SENSE AND SENSIBILITY is essentially about two sisters and the men they desired and those who wanted the sisters to be their wife. That was not as easy as it sounds. Money and station in life are here looked upon very carefully by both the sisters, the men, the parents.
All of this is carefully laid out in a complex but orderly fashion. Thompson wisely stuck as closely to Austen's book as film- making would allow and, with a fine director, we have a masterpiece.
Very briefly, the story is that the law in England at that time said that the estate of the father went to his son. When the father, Henry Dashwood, (Tom Wilkinson) was dying he told his son by his first wife. John (James Fleet), how he wanted the estate handled. The elder Dashwood had been married before. By his second wife, (Gemma Jones), he had three daughters. From John, he extracted the promise that the widow and her three daughters would be well taken care of but it was not long before John's wife, Fanny (Harriet Walter) began, after the death of her father-in-law, to minimize the amount John had been intending to give the widow and daughters, and helped to make their life miserable.
At the first opportunity, the widow and her children, with little money of their own, moved away but before that happened, the eldest daughter, Elinor, (Emma Thompson) had fallen in love with Fanny's brother, Edward (Hugh Grant). While it seemed as if they were engaged, when Elinor moved with her mother and sisters, the expected visits from Edward did not occur. Elinor was hurt but took things as well as she could. The film's other love story is that of the younger sister, Marianne (Kate Winslett) and the several men who fell in love with her.
Faithful to the period in every respect, the movie depicts the lives, the yearnings of the people involved. How far does one go in declaring one's love? Is a man 35-years-old too decrepit to marry a 27-year-old? Is a woman in her late twenties "over the hill?" These and many other questions are encountered and resolved in a most proficient manner, aided by such fine actors as Alan Rickman, Robert Hardy, Elizabeth Spriggs, and Emile Franois and others. All have important roles and all do well by them.
This is a film you absolutely must see.
4 Bytes 4 Bytes = Superb 3 Bytes = Too good to be missed. 2 Bytes = So so. 1 Byte = Save your money.
-- Ben Hoffman
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


---
layout: archive
title: "Experience"
permalink: /experience/
author_profile: true
---
Industrial Experience
-
Research Intern (June 2018 – September 2018)
Worked on the problem of natural question generation.
-
Research Intern (March 2016 – August 2016)
Worked as a research intern on semantic representation of sentence and developed
a closed domain Question Answering system.
-
Research Intern (July 2014 – August 2014)
Learnt various Data Mining Techniques using R and worked on E-Pricing Project.
-
Engineering Intern (June 2011 – August 2011)
Worked as team leader on a banking project.
Teaching Experience
-
Teaching Assistant (Spring Semester,
2018-19)
Natural Language Processing at Indian Institute of Technology Patna, India
-
Teaching Assistant (Autumn Semester 2017-18)
Natural Language Processing at Indian Institute of Technology Patna, India
-
Teaching Assistant (Autumn Semester 2017)
Artificial Intelligence at Indian Institute of Technology Patna, India
-
Teaching Assistant (Spring Semester 2017-18)
Data Structure and Algorithm at Indian Institute of Technology Patna, India


Start and stop video, insert timecodes, all without touching your mouse
Transcriptase takes care of saving your transcript for you. Never lose your work again.
Transcriptase is free, and we use an A-GPL software license to ensure it stays that way.
My mom


Tuesday, August 3: A very basic introduction to the replica method, from the point of view of a physicist and from a mathematician. Lecture notes welcomed if someone take them! Basically, I will follow this short latex notes. The video is here!
For those who wanna go beyond, try a slightly more difficult (but still easy) exercice and repeat both the physics approach and the rigorous one for the rank-one matrix factorization problem ( short latex notes or the more detailed one here for the replica computation.
References: * Marc Mézard and Andrea Montanari, Information, Physics, and Computation, Florent Krzakala, Jiaming Xu, Lenka Zdeborová, arXiv:1603.08447, Ahmed El Alaoui, Florent Krzakala, arXiv:1801.01593, Jean Barbier, Nicolas Macris, arXiv:1901.06516.
Thursday, August 6: I used these slides to review some of the physics-related results on linear models, on kernels methods and random projections. The video is here!
References: Aubin, FK, Lu, Zdeborova arXiv:2006.06560, Gerarce, Loureiro, FK, Zdeborova: < a href="https://arxiv.org/abs/2002.09339">arXiv:2002.09339, Mignacco, FK, Lu, Zdeborova arXiv:2002.11544. A great classical and readable reference is the 1995 short review from Manfred Opper.
Tuesday, August 11: I used these slides to review some of the physics-related results on constraint satitsfaction problems, in particular q-colouring on random graphs. The video is here!
The coloring problem is a good example to learn the cavity method. the paper I wrote with Lenka in 2007 is self-contained and a good introduction to the subject. There are many good references to learn the cavity method, including F. Zamponi's notes or the Book from Mézard and Montanari.
Discussion on the landscaoe of the problems appeared in particular in Krzakala-Kuchans https://arxiv.org/pdf/cond-mat/0702546.pdf, Lenka Zdeborova's phd thesis, Lenka and I's paper on following states and many other references.


NRC in Assam again, this time along with the rest of India: Amit Shah
‘NRC is different from the Citizenship Amendment Bill and it has no provisions for excluding any religion from its list’, stated Union Minister of Home Affairs Amit Shah in Rajya Sabha on Tuesday. This statement comes after the updated National Register of Citizens (NRC) raised questions on the discrimination of society on basis of religion. The Minister further added that the NRC process will be carried out across the country, in addition to Assam. Over concerns from Parliament regarding exclusion of individuals, the minister responded that all ‘citizens of India’ irrespective of religion will feature in the NRC list.
The updated NRC list was released in Assam on August 31. The list, which validated bonafide Indian citizens, left out more than 19 lakh applicants. Minister Amit Shah said that the people whose names are missing from the NRC list can approach the tribunals located across the state for appeal. The Assam Government is prepared to provide financial help to the people who do not have money for filing pleas and would even bear the costs of hiring a lawyer for them.
The National Register of Citizens (NRC) is a record containing names of Indian citizens. Assam is the first state in India where updating of NRC is carried out. It aims to identify illegal migrants- primarily from neighbouring country Bangladesh who entered Assam and settled here post March 25, 1971 and then deport them to their native country. The process of updating NRC in Assam started in the year 2013 after the Supreme Court passed the order.
On his defence of the Citizenship Amendment Bill, the minister stated that it was introduced to protect the refugees belonging to Hindus, Buddhists, Sikhs, Jains, Christians and Parsi communities who are being discriminated on the basis of religion. The Citizenship Amendment Bill was passed on January 8, 2016 in the Lok Sabha to grant citizenship status to non-Muslims from neighbouring countries who entered Indi before December31, 2014.
Also Read : ‘BJP trying to divide Bengal on NRC, CAB’: Mamata Banerjee
Also Watch : Govt all set to push for the contentious Citizenship Bill in the winter session of Parliament


This component includes primitive informations such as confident score, semantic.
More...
#include <PrimitiveInformation.h>
|
|
| PrimitiveInformation () |
| | PrimitiveInformation constructor.
|
| |
|
| ~PrimitiveInformation ()=default |
| | PrimitiveInformation deconstruction.
|
| |
| bool | isValid () const |
| | This method is to known an element being valid or not. More...
|
| |
|
void | setInvalid () |
| | This method is to set an element being invalid.
|
| |
| void | updateConfidence (bool isGood) |
| | This method updates the confident score of the primitive element. More...
|
| |
| float | getConfidence () const |
| | This method returns the confident score of the primitive element. More...
|
| |
| uint32_t | getUsedTime () const |
| | This method returns the number of used times of the primitive element. More...
|
| |
| const std::chrono::system_clock::time_point & | getLastUpdateTime () const |
| | This method returns the last updated time of the primitive element. More...
|
| |
| void | setLastUpdateTime (const std::chrono::system_clock::time_point &updateTime) |
| | This method updates the last updated time of the primitive element. More...
|
| |
| int | getSemanticId () const |
| | This method returns the semantic id of the primitive element. More...
|
| |
| void | setSemanticId (const int &semanticId) |
| | This method sets the semantic id of the primitive element. More...
|
| |
|
template<typename Archive > |
| void | serialize (Archive &ar, ATTRIBUTE(maybe_unused) const unsigned int version) |
| |
|
|
class | boost::serialization::access |
| |
This component includes primitive informations such as confident score, semantic.
◆ getConfidence()
| float SolAR::datastructure::PrimitiveInformation::getConfidence |
( |
| ) |
const |
This method returns the confident score of the primitive element.
- Returns
- the confident score
◆ getLastUpdateTime()
| const std::chrono::system_clock::time_point & SolAR::datastructure::PrimitiveInformation::getLastUpdateTime |
( |
| ) |
const |
This method returns the last updated time of the primitive element.
- Returns
- the last updated time
◆ getSemanticId()
| int SolAR::datastructure::PrimitiveInformation::getSemanticId |
( |
| ) |
const |
This method returns the semantic id of the primitive element.
- Returns
- the semantic id
◆ getUsedTime()
| uint32_t SolAR::datastructure::PrimitiveInformation::getUsedTime |
( |
| ) |
const |
This method returns the number of used times of the primitive element.
- Returns
- the number of used times
◆ isValid()
| bool SolAR::datastructure::PrimitiveInformation::isValid |
( |
| ) |
const |
This method is to known an element being valid or not.
- Returns
- isValid value
◆ setLastUpdateTime()
| void SolAR::datastructure::PrimitiveInformation::setLastUpdateTime |
( |
const std::chrono::system_clock::time_point & |
updateTime | ) |
|
This method updates the last updated time of the primitive element.
- Parameters
-
| [in] | updateTime | the update time. You can get current time by using std::chrono::system_clock::now() |
◆ setSemanticId()
| void SolAR::datastructure::PrimitiveInformation::setSemanticId |
( |
const int & |
semanticId | ) |
|
This method sets the semantic id of the primitive element.
- Parameters
-
| semanticId | the semantic id |
◆ updateConfidence()
| void SolAR::datastructure::PrimitiveInformation::updateConfidence |
( |
bool |
isGood | ) |
|
This method updates the confident score of the primitive element.
- Parameters
-
| [in] | isGood | it is true if the primitive element is considered as an inlier for this use. It is false in the otherwise. |
The documentation for this class was generated from the following files:


A free, open-source API for generating random user data. Like Lorem Ipsum, but for people.
Follow us @randomapiWant to create your own customized data generator for your application?
Check out our other service RandomAPI!
You can use AJAX to call the Random User Generator API and will receive a randomly generated user in return. If you are using jQuery, you can use the $.ajax() function in the code snippet below to get started.
$.ajax({ url: 'https://randomuser.me/api/', dataType: 'json', success: function(data) { console.log(data); } });
The application will provide you with a JSON, XML, CSV, or YAML object that you can parse and apply to your application.
You can specify the format you want the results in using the format parameter.
{ "results": [ { "gender": "male", "name": { "title": "mr", "first": "romain", "last": "hoogmoed" }, "location": { "street": "1861 jan pieterszoon coenstraat", "city": "maasdriel", "state": "zeeland", "postcode": 69217 }, "email": "[email protected]", "login": { "username": "lazyduck408", "password": "jokers", "salt": "UGtRFz4N", "md5": "6d83a8c084731ee73eb5f9398b923183", "sha1": "cb21097d8c430f2716538e365447910d90476f6e", "sha256": "5a9b09c86195b8d8b01ee219d7d9794e2abb6641a2351850c49c309f1fc204a0" }, "dob": "1983-07-14 07:29:45", "registered": "2010-09-24 02:10:42", "phone": "(656)-976-4980", "cell": "(065)-247-9303", "id": { "name": "BSN", "value": "04242023" }, "picture": { "large": "https://randomuser.me/api/portraits/men/83.jpg", "medium": "https://randomuser.me/api/portraits/med/men/83.jpg", "thumbnail": "https://randomuser.me/api/portraits/thumb/men/83.jpg" }, "nat": "NL" } ], "info": { "seed": "2da87e9305069f1d", "results": 1, "page": 1, "version": "1.1" } }
Found a bug or have an idea?
Contribute to randomuser.me's database on our
Github Repo.
If you have any questions/feedback or would like to get in touch with us, tweet us @randomapi
↑ ↑ ↓ ↓ ← → ← → B A


Welcome to My Guessing Game!
Let's get to guessing!
Guess a color in the rainbow
Guess a shape from a car
Guess a mammal in the desert
What is the most popular name in the world?
What's the international language of the world?
What's the most popular phone brand?
Guess a primary color
Seattle is famoulys known as, the "________" city.
What's the most visited city in the world?
Guess a type of cat


Class Image_Graph_Element
Representation of a element.
The Image_Graph_Element can be drawn on the canvas, ie it has coordinates,
Image_Graph_Line, Image_Graph_Fill
, border and background -
although not all of these may apply to all children.
- Image_Graph_Common
- Image_Graph_Element
Direct known subclasses
Image_Graph, Image_Graph_Figure_Ellipse, Image_Graph_Figure_Polygon, Image_Graph_Figure_Rectangle, Image_Graph_Logo, Image_Graph_Plotarea_ElementIndirect known subclasses
Image_Graph_Axis, Image_Graph_Axis_Category, Image_Graph_Grid_Polar, Image_Graph_Layout, Image_Graph_Layout_Horizontal, Image_Graph_Layout_Matrix, Image_Graph_Layout_Vertical, Image_Graph_Legend, Image_Graph_Marker, Image_Graph_Marker_Array, Image_Graph_Marker_Asterisk, Image_Graph_Marker_Average, Image_Graph_Axis_Logarithmic, Image_Graph_Marker_Box, Image_Graph_Marker_Bubble, Image_Graph_Marker_Circle, Image_Graph_Marker_Cross, Image_Graph_Marker_Diamond, Image_Graph_Marker_Icon, Image_Graph_Marker_Pinpoint, Image_Graph_Marker_Plus, Image_Graph_Marker_Pointing, Image_Graph_Marker_Pointing_Angular, Image_Graph_Axis_Marker_Area, Image_Graph_Marker_Pointing_Radial, Image_Graph_Marker_ReversePinpoint, Image_Graph_Marker_Star, Image_Graph_Marker_Triangle, Image_Graph_Marker_Value, Image_Graph_Plot, Image_Graph_Plot_Area, Image_Graph_Plot_Band, Image_Graph_Plot_Bar, Image_Graph_Plot_BoxWhisker, Image_Graph_Axis_Marker_Line, Image_Graph_Plot_CandleStick, Image_Graph_Plot_Dot, Image_Graph_Plot_Fit_Line, Image_Graph_Plot_Impulse, Image_Graph_Plot_Line, Image_Graph_Plot_Odo, Image_Graph_Plot_Pie, Image_Graph_Plot_Radar, Image_Graph_Plot_Smoothed_Area, Image_Graph_Plot_Smoothed_Bezier, Image_Graph_Axis_Radar, Image_Graph_Plot_Smoothed_Line, Image_Graph_Plot_Smoothed_Radar, Image_Graph_Plot_Step, Image_Graph_Plotarea, Image_Graph_Plotarea_Map, Image_Graph_Plotarea_Radar, Image_Graph_Simple, Image_Graph_Title, Image_Graph_Figure_Circle, Image_Graph_Grid, Image_Graph_Grid_Bars, Image_Graph_Grid_Lines
Package: Image\Graph
Category: Images
Copyright: Copyright (C) 2003, 2004 Jesper Veggerby Hansen
License: LGPL License 2.1
Author: Jesper Veggerby<EMAIL_ADDRESS>Version: Release: @package_version@
Link: http://pear.php.net/package/Image_Graph
Located at app/vendors/Image/Graph/Element.php
Category: Images
Copyright: Copyright (C) 2003, 2004 Jesper Veggerby Hansen
License: LGPL License 2.1
Author: Jesper Veggerby<EMAIL_ADDRESS>Version: Release: @package_version@
Link: http://pear.php.net/package/Image_Graph
Located at app/vendors/Image/Graph/Element.php
public
|
|
public
|
|
public
|
|
public
integer
|
|
public
|
|
public
|
|
public
integer
|
|
public
|
|
public
|
|
public
integer
|
|
public
|
|
public
|
|
public
integer
|
|
public
array
|
|
public
|
|
public
|
|
public
|
|
public
|
|
public
|
|
public
|
#
_setCoords( integer $left, integer $top, integer $right, integer $bottom )
Sets the coordinates of the element |
public
|
|
public
|
|
public
|
|
public
|
|
public
integer
|
|
public
integer
|
|
public
integer
|
|
public
integer
|
|
public
integer
|
|
public
integer
|
|
public
integer
|
|
public
integer
|
|
public
|
|
public
|
|
public
boolean
|
Image_Graph_Common(),
_error(),
_getCanvas(),
_reset(),
_setParent(),
_updateCoords(),
add(),
addNew(),
hide()
|
public
integer
|
$_left | 0 |
#
The leftmost pixel of the element on the canvas |
public
integer
|
$_top | 0 |
#
The topmost pixel of the element on the canvas |
public
integer
|
$_right | 0 |
#
The rightmost pixel of the element on the canvas |
public
integer
|
$_bottom | 0 |
#
The bottommost pixel of the element on the canvas |
public
FillStyle
|
$_background | null |
#
Background of the element. Default: None |
public
LineStyle
|
$_borderStyle | null |
#
Borderstyle of the element. Default: None |
public
LineStyle
|
$_lineStyle | 'black' |
#
Line style of the element. Default: None |
public
FillStyle
|
$_fillStyle | 'white' |
#
Fill style of the element. Default: None |
public
Font
|
$_font | null |
#
Font of the element. Default: Standard font - FONT |
public
array
|
$_fontOptions | array() |
#
Font options |
public
array
|
$_defaultFontOptions | false |
#
Default font options |
public
mixed
|
$_shadow | false |
#
Shadows options of the element |
public
integer
|
$_padding | array('left' => 0, 'top' => 0, 'right' => 0, 'bottom' => 0) |
#
The padding displayed on the element |
$_canvas,
$_elements,
$_parent,
$_visible
|


Introduction
The Daily Fantasy Sports (DFS) industry has exploded in popularity in recent years, largely due to the exponential growth of users playing on industry titans such as Fanduel and DraftKings. These platforms allow users to gamble real money by selecting a set of players known as a roster from a sport, with rules constraining the total salary and specific player position types required for a selected roster.Each player in the roster can accumulate points based on their performance in the sport in the upcoming game that day.The user then enters this roster into contests against other users who have also entered their rosters, with the aim of selecting the roster that accumulates the most points based on the competitions set rule for point accumulation. The user or subset of users with the top accumulated points at the end of the competition win the pot of money entered by each user in the competition. With the large amount of data now available for multiple sports, and a platform to utilize that data on, this analysis attempts to explore the potential predictive parameters available in generating a successful roster for DFS competitions with the ultimate aim to project roster points and select the optimal roster for a given competition. The analysis is constrained to MLB competitions on Fanduel.
Data Structure and Sources
Data that will be used in this analysis comes from 3 sources:
- Historical baseball game and player data -
XMLStats
- Historical team lineup data - Baseball Press
- Historical Weather Data - Wunderground
The data from the above sources has been munged and combined to produce a structured data set for each player. The structures are split into two categories representing the two major player types of baseball competitions: batters and pitchers.Both batter and pitcher data is organized into a data frame of the following structure:
[Player GameID Player Stats Weather_Data Lineup_Data]
Player and GameID makeup the unique data key for each record of the data frame
Player Stats data are individual data frame columns of each stat for the player (ie. homeruns and hits for batters, era and strikeouts for pitchers)
Weather data contains a dataframe column "wunderground_forecast" that contains a dictionarty of {'wind': {'wind_speed': 1.53, 'wind_dir': 206.67}, 'temp': 72.67, 'humidity': 19.33}
LineupData contains 2 dataframe columns home_starting_lineup and away_starting_lineups both of with contain dictionaries of {u'Hyun-Jin Ryu_batter': {'batting_order': '9', 'arm': u'R'} for each player in the starting lineup.
Initial Investigation Plan
The initial instinct is to jump right into combining various parameters, plotting there relationships and reviewing their plots. However, a clearer definition of the goal is required to better frame the direction and good questions to ask of the Exploratory Data Analysis of the MLB player dataset. The Fanduel scoring rules use the following functions to calculate each players score:
batters_FD_points = singlesx1+doublesx2+triplesx3+home_runsx4+rbix1+runsx1+walksx1+stolen_basesx1+hit_by_pitchx1+(at_bats-hits])x-.25
pitcher_FD_points = winx4+earned_runsx-1+strike_outsx1+innings_pitchedx1
Knowing this, there seems to be 2 approaches one could take in
attempting to develop a predictive model for projected player points:
1. Develop an analog function of fanduel scoring rules that attempts to
directly estimate projected player points with the models own internal
parameters.
2. Develop a model that projects the predicted value for each of the
parameters in the fanduel player point function and plugging them into
the function to calculate a players projected points.
Knowing that the ultimate goal is to develop a predictive model and that in doing so will require a choice between the above 2 options, this analysis will help provide an exploration and give guidance on pathways to begin developing the model with.
We will first explore the univariate distributions of fanduel points, batter and pitcher data and observe any interesting features in the plots. We will then explore bivariate datasets to discover relationships between parameters with a focus on their impact on fanduel points. Lastly, we will further combine parameters into multivariable datasets and try to discover any interacting relationships across parameters. Using the patterns and relationships discovered in this analysis will inform the development of a predictive model.
Data Prep, Imports and Utility Functions
All column histogram code from Stackoverflow
Univarate Parameter Analysis
Player Fanduel Points
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -1.750 -0.250 0.250 1.529 2.500 27.750
## Standard Deviation = 2.695974
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -9.000 1.000 2.000 3.565 4.200 30.000
## Standard Deviation = 4.733862
For batters, the distribution of FD_points seems to follow a decaying distribution, while pitchers FD_points seem to be somewhat normally distributed with a longer positive tail.This right-side-scew in the batters distribution is quantified with the large distance between the median and 3rd quartiles compared to the 1st quartile. The 1st quartile is only 1/5th of a standard deviation from the median, whereas the 3rd quartile is 1/3rd of a standard deviation from the median. Compared to the more normally distributed pitchers distribution, where the 1st quartile and 3rd quartile are 1/5th and 1/4th of a standard deviation from the median respectively, quantifies it as being closer to a normal distribution with a longer right-side tail. A repeating pattern in the batter distribution that has a local maximum is likely due to the biases created in the scaling of the batters scoring function. This information might help in deciding to round model outputs to the discrete possible ouputs of the scoring function. For both batters and pitchers, there is a large number of 0 valued FD_points due to the inclusion of players that did not participate in a game. This will need to be considered as the dataset is explored further.
Batters
The first observation from the above plots is the obvious discrete and and low-variability nature of the data for many player stats. This observation makes logical sense, as the game of baseball is made up of many rules framed around discrete events. A player can run to only 1 of 4 bases, plate appearances are scheduled in the lineup order and there is a limited subset of events that can occur in any one plate appearance. There are some parameters, such as total bases, plate appearances and the more advanced stats obp, slg, and ops that have a less discrete nature and may warrant further exploration.
Pitchers
Many of the pitchers stats show the same characteristic of batters in the discrete and low-variability nature. The pitching stats count and strikes have interesting double hump distributions that may be attributed to a select few pitchers that usually pitch a full 8 or 9 innings.
The discrete nature of the parameters that are used in the Fanduel scoring functions leads me to believe it will be difficult to accurately develop a model based on predicting each individual input parameter. For example, the difference between 0 and 2 runs is small, but the impact on point projections and ultimately selecting the optimum roster could be large. The distribution of FD_points more readily lends itself to regression analysis, suggesting that developing an analog function predicting player fanduel points may produce better results than directly predicting the input parameters. Alternatively, it may be possible to develop a hybrid of the two options, using classification of the discrete inputs as features in the regression model.
Bivarate Parameter Analysis
We know that the player statistics included in fanduel's scoring function will have a linear relationship with fanduel points, as dictated by the form of fanduel's scoring equations. For example, batters rbi's and pitchers strikeouts. Code adapted from R-Cookbook
## r2 = 0.9910313
## r2 = 0.9967708
The strong linear relationships, with r2's of 0.99 for both rbi and strike_outs is obvious and not very informative, as the linear relationship of these parameters is built into the fanduel scoring equations, and by definition are linear relationships of fanduel points. As was discussed above, it will likely be difficult to accurately predict the individual parameters in fanduel's point function. What is of more interest will be the relationships between the more advanced player statistics and FD points.
Advanced Stats
Batters
## r2 = 0.7054033
## r2 = 0.7736614
## r2 = 0.7834183
It appears the advanced stats for batters may be following a more quadratic or exponential relationship then linear, with the linear regression r2 values being 0.70, 0.77 and 0.78 for obp,slg and ops respectively. I had originally guessed the relationships would have very strong linear relationships with r2's closer to 1, so it is good to discover something counter thesis to my intuition in this data exploration. The fact that the relationships seem quite similar is expected, as the advanced stats are closely related.
Cleaning up some of the outliers and applying a regression to the batters slg vs FD_points stats seems like a good candidate for closer inspection in the more detailed section of this analysis.
Pitchers
## r2 = 0.07168485
The only advanced stat for pitchers in this dataset is their WHIP. A clear pattern is hard to determine from this plot, with a potential linear or logarithmic relationship that has a strong clustering in the bottom left quadrant of the graph. The low rsquared linear regression value of 0.07 shows that building a linear model with the WHIP parameter in it's current state will not be very useful, and other data transformations may be required. The large variation in the scatter of this relationship may mean that whip will not provide usable information in creating a predictive model, but it may be possible to combine whip with another feature to give it stronger predictive power. One option could be to find the characteristic(s) of a pitcher that causes him to cluster into the lower left quadrant of this plot. We could then run a clustering classifier on pitchers, that produces as a result the pitcher either does or doesn't clump into the lower left quadrant. If he does, we assign him a default prediction value (ie the mean of the cluster). If he doesn't, we can then apply the linear/logarithmic function as a prediction for the players that do not seem to cluster. This will require further exploration in the modelling stage.
Weather
As some MLB baseball diamonds are outdoors, the weather may have an impact on player performance. The below plots investigate temperature and humidity for batters and pitchers. Wind will be investigated in the multi-variate analysis, as direction and speed will come into play. The decode_wg_weather utility function is used to parse out open air stadiums only and decode the wunderground weather json data.
Batters
This plot is clearly not very useful, but does show that the wundeground weather temperature data contains some wonky data with large negative values seen in the dataset. Cleaning up these outliers and 0 valued temps and moving to box plots:
batter_data.OD.decoded$bin_temp <- cut(batter_data.OD.decoded$temp,
c(25,35,45,55,65,75,85,95,105))
temp_groups <- group_by(batter_data.OD.decoded,bin_temp)
batter_data.temp_meds <- summarize(temp_groups,
FD_points_median = median(FD_points))
ggplot(batter_data.OD.decoded, aes(x=bin_temp, y=FD_points)) +
coord_cartesian(ylim = c(-2, 10)) +
geom_boxplot() +
geom_text(data = batter_data.temp_meds,
aes(x = bin_temp, y = FD_points_median,
label = FD_points_median),
size = 3, vjust = -1.5)
It's difficult to say if temperature has any affect at all on a batters FD points, with median values being quite similar across all temperature bins. There may be a slightly quadratic relationship with the median values being higher at the cold and hot edges of the temperature distribution, but further work will be required to prove if this is useful for the predictive model.
Again, humidity seems to have very low impact on a batters FD_points with median values being very similar across all humidity bins and no desernable pattern in the boxplots.
Pitchers
Pitchers may be more affected by weather then batters.
With a median of 2 FD_points for all temp bins, the lack of a clear trend in FD_points vs temp for pitchers matches what was seen for batters and does not seem to be very as a predictive parameter.
Humidity also seems to provide little predictive power for pitchers FD_points, with medians of 2 persisting in each humidity bin.
It does not appear that weather (temp and humidity) have a very big impact on a MLB players FD_points. This data may be useful to create a classifier that determines if a game will be rained out, as selecting players from a postponed game will greatly affect the roster performance (ie. selected a player that ends up with 0 FD_points) and may need to be explored further during model development.
Multi-Variate Analysis
There may exist interactions between parameters that reveal interesting relationships we can take advantage of for model development.
Wind
The first multi-variate parameter investigated will be the impact of wind speed and direction on players FD_points. The function wind_spiral_plots is defined to parse the data into 6 windspeed bins, calculate the mean FD_points for each wind_angle per windspeed bin and plots the spiral plot of angle vs mean FD_points for all 6 windspeed bins. There likely exists a more elegant solution then the current functions code, but the functionality is adequate. I'll need to sharpen my R coding skills and come back to refactor this function at a later date.
#Function to parse dataframe wind data and
#create spiral plots based on wind angle and FD_points.
wind_spiral_plot <-function(df){
wind_speed_bins = c(-Inf,4,6,8,10,12,Inf)
df$bin_wind_speed = cut(df$wind_speed,wind_speed_bins) #Bin wind speeds
df.wind_speed_groups = split(df,f=df$bin_wind_speed)
wind_df = data.frame()
#Loop through each wind speed dataframe
for(i in 1:length(df.wind_speed_groups))
{
wind_dir_groups <- with(df.wind_speed_groups[[i]],
cut(wind_dir,c(0,25,50,75,100,125,150,175,
200,225,250,275,300,325,359),
include.lowest = TRUE))
dat <- aggregate(FD_points ~ wind_dir_groups,
data = df.wind_speed_groups[[i]], FUN = mean)
#Summarize FD_points per wind angle
dat$wind_speed_group_indx = wind_speed_bins[i]
wind_df<-rbind(wind_df,dat)
}
return (ggplot(wind_df,aes(x = wind_dir_groups, y = FD_points)) +
geom_bar(stat='identity') + coord_polar(start = 0) +
facet_wrap(~wind_speed_group_indx))
}
Batters
There appears to be some effect of wind speed and direction on batters fanduel points that may prove useful as a feature for model development. Some wind speeds seem to have spikes in FD_points in the upper left quadrant, while others show spikes at many angles. More work will need to be done to prove the significant of a relationship, as well a doing a more detailed investigation to analyze the effect of wind for individual ballparks. This will be looked at in the more detailed section of this analysis.
Pitchers
Pitchers do not seem to be as affected by wind speed and direction as batters, with few obvious spikes or variations in FD_points at different speeds and angles. Wind data may not prove to be an informative parameter for the predictive model, but a more granular investigation at a per ballpark level should be conducted.
Detailed Plots and Analysis
Three plots have been identified that warrant further investigation:
1. Batter FD_points vs SLG to test regression models
2. Pitcher FD_points vs WHIP to better identify clustering and trend in
the relationship
3. Batter wind data spiral plots to better understand the significance
and strength of the effect wind has on batter performance
Batter FD\_point vs SLG
Batter FD_points vs SLG was chosen in the final plots section as it displayed a potentially quadratic or exponential relationship, that if properly defined, could prove useful in building a predictive model.
Code adapted from Stackoverflow
batter_data.adv_stats_mean.clean = subset(batter_data.adv_stats_mean,
isnumeric(slg_mean) & slg_mean >
0 & slg_mean < 0.7)
#clean up NA and outlier values
y = batter_data.adv_stats_mean.clean$FD_points_mean
x = batter_data.adv_stats_mean.clean$slg_mean
xy = batter_data.adv_stats_mean.clean
linear <- lm(y ~ x, data = xy)
quadratic <- lm(y ~ I(x^2), data = xy)
exponential <- lm(y~I(exp(x)),data=xy)
linear_r2_text = paste("lin_",
toString(round(summary(linear)$r.squared,digits=2)))
quadratic_r2_text = paste("quad_",
toString(round(summary(quadratic)$r.squared,digits=2)))
exponential_r2_text = paste("exp_",
toString(round(summary(exponential)$r.squared,digits=2)))
r2_text = paste(quadratic_r2_text,exponential_r2_text,linear_r2_text,sep="\n")
prd <- data.frame(x = seq(0, 0.7, by = 0.05))
result <- prd
result$linear <- predict(linear, newdata = prd)
result$quadratic <- predict(quadratic, newdata = prd)
result$exponential <- predict(exponential, newdata = prd)
result <- melt(result, id.vars = "x", variable.name = "model",
value.name = "fitted")
ggplot(result, aes(x = x, y = fitted)) +
theme_bw() +
geom_point(data = xy, aes(x = x, y = y)) +
geom_line(aes(colour = model), size = 1) +
annotate("text", x = 0.65, y = 3.5, label = r2_text) +
xlab("Batter SLG %") +
ylab("Fanduel Points") +
ggtitle("Batter Fanduel Points vs SLG %") +
ylim(c(-1,4))
The cleaned up version of batter FD_points vs SLG plot shows that the initial impression of a highly quadratic or exponential relationship may not have been accurate. The R2 for a linear model is nearly identical to that of a quadratic, with an exponential regression being the worst r2 of the models. More advance outlier cleaning techniques may be required during model development.
Pitcher FD\_points vs WHIP
Pitcher FD_points vs WHIP was chosen to include in the final plots section, as WHIP is currently the only advanced stat for pitchers in the dataset and showed an interesting distribution in the scatterplot, that if properly classified into clusters could provide useful for grouping pitchers into fanduel point ranges for use in a predictive model.
Circle function from Stackoverflow
circleFun <- function(center = c(0,0),diameter = 1, npoints = 100){
r = diameter / 2
tt <- seq(0,2*pi,length.out = npoints)
xx <- center[1] + r * cos(tt)
yy <- center[2] + r * sin(tt)
return(data.frame(x = xx, y = yy))
}
pitcher_data.adv_stats_mean.clean = subset(pitcher_data.adv_stats_mean,
isnumeric(whip_mean) & whip_mean >
0 & whip_mean <=5)
#clean up NA and outlier values
dat <- circleFun(c(1.4,1.38),1.6,npoints = 100)
ggplot(pitcher_data.adv_stats_mean.clean, aes(x=whip_mean, y=FD_points_mean)) +
geom_point(shape=1) +
geom_path(data=dat,aes(x,y),color="red",size=2) +
xlab("Pitcher WHIP") +
ylab("Fanduel Points") +
ggtitle("Pitcher Fanduel points vs WHIP") +
ylim(c(-5,15))
Cleaning up the pitcher WHIP data for outliers and plotting the results magnifies the clustering that occurs at the lower left of the dataset, and also shows a possible logarithmic trend for data points outside the cluster. It may be possible for the model to develop a automated cluster classification and apply a logarithmic regression to pitchers that fall outside this cluster as part of the predictive model.
Batter Wind Effects
Batter wind effects were chosen for inclusion in the final plots section as some variation in fanduel points vs windspeed and direction were seen in the plots. This advanced relationship could prove to be an edge in predictive models over competing models that not account for the potential wind relationship in predicting batter fanduel points.
Utilizing the wind_spiral_plot function defined earlier and refining:
wind_spiral_plot_formatted <-function(df){
wind_spiral_plot(df) +
aes(fill=wind_speed_group_indx) +
guides(fill=guide_legend(title="Wind Speed m/s")) +
ggtitle("Batter Fanduel points vs Wind speed and Direction") +
scale_x_discrete(breaks=c("(75,100]","(150,175]","(275,300]",
"(325,359]"),
labels=c("(75,100]"="75","(150,175]"="150",
"(275,300]"="275",
"(325,359]"="325")) +
theme(strip.background = element_blank(),strip.text.x = element_blank()) +
xlab("") +
ylab("Fanduel Points")
}
wind_spiral_plot_formatted(batter_data.OD.decoded)
There are some large outliers in FD_points at windspeeds of 2m/s, 10m/s and 12m/s, which may prove useful in a predictive model.Further analysis is needed to explore each ballpark and it may be beneficial to normalize the dataset to ballpark homeplate direction, but the inclusion of wind as an advanced parameter in the predictive model may prove to be an advantage of simpler competing models.
Reflection
Being a dynamic sport, with so many variables and events, parsing and exploring the MLB dataset proved both challenging an insightful. The biggest challenges in this analysis included manipulating data from multiple sources and formats, and coercing that data into useful and interpretable visualizations. Coming up with an idea of a beautiful plot is the easy part; mangling the data and actually building the plot takes effort and many iterations to obtain a refined product. Two specific challenges included unraveling the json wunderground weather dataset into usable data for plotting. This took some advanced R decoding functions and long hours of debugging multiple errors. Another challenge was in learning R-programming syntax in general, especially ggplot2 use cases. Many hours were spent goggling different methods in attempts to create the plots shown above, and many others not shown that did not produce the expected result. After a lot of trial and error, successful methods of generating the desired plots were found. As the analysis progressed, the number of trials before success decreased, as I began to get a more intuitive understanding of the R and ggplot2 syntax. The ability to continuously add layers to a plot is very cool, and I'm especially proud of the wind_spiral_plot_formatted which takes the returned ggplot of the wind_spiral_plot and expands on it to refine the plot. I can imagine there being a lot of interesting use cases with this kind of functionality.
This analysis provides many useful insights for a starting point to develop a predictive model. It provided support in the decision to develop an analog model of FD_points instead of attempting to predict the FD scoring function inputs directly. It showed both advanced stats and wind for batters seem informative, and displayed paths that may not be valuable to pursue, such as wind parameters for pitchers. Being as dynamic as it is, there are many, many more parameters and relationships to be explored for building a MLB FD_points predictive model. The most obvious omission in the above analysis is its lack of investigation into the impact of oppositional teams on a players FD_points. For example, exploring a batters points vs a low WHIP pitcher, or a pitchers points versus a high scoring team. These relationships will need to be explored before a optimal predictive model can be develop, but will require further data munging to align the dataset for that sort of analysis. That will likely be the subject of a future analysis.


2.4.5 ¶
- Fixed PHPUnit 7.2 compatibility.
- Introduced RunBefore extension to execute scripts before running tests. See #5049 by @aashmelev.
- [Db] Added two options for MySQL by @bangertz
ssl_cipher
- list of one or more permissible ciphers to use for SSL encryptionssl_verify_server_cert
- disables certificate CN verification
- [Db] Always disconnect before connect when
reconnect
is set. By @ashnazg - [Db] More explicit PDO closing upon destruction and close opened transactions by @ashnazg.
- [Recorder Extension] Improved error logging by @OneEyedSpaceFish. See #5101
- [Lumen] Fixed file uploads via REST module. By @retnek.
- Fixed: function getMetadata() may not exist, results in fatal error. See #4913 by @marcovtwout
2.4.4 ¶
- Recently added
extends
property in thecodeception.yml
and*.suite.yml
files now support absolute paths; by @silverfire - Fixed absolute paths handling on Windows in ParamLoader; by @silverfire
- [Yii2] Refactored database connection handling by @SamMousa. Database connections should now always be closed after tests no matter how you have opened them or who is holding references to them. See #5045
- [Symfony] Email handling improved by @mbohal. Fixes #5058.
- Added optional argument
$expectedCount
toseeEmailIsSent
- Added
dontSeeEmailIsSent
- Added optional argument
- [Recorder Extension] Added
ignore_steps
option to disable recording of specific steps. By @sspat. - [WebDriver] Fixed "No Session Timeout" fatal error by @davertmik.
- [WebDriver] Added ability to locate clickable element by its title. See #5065 by @gimler
- [Db] Add
waitlock
config option for the database session to wait for lock in Oracle. By @ashnazg. See #5069 - [REST] Fixed
seeXmlResponseEquals
by @Voziv
2.4.3 ¶
- Create your own test formats (e.g., Cept, Cest, ...); by @mlambley
- [Symfony] Fixed a bug in order to use multiple Kernels; by @alefcastelo
- [Asserts] Added new methods
assertNotTrue
andassertNotFalse
methods; by @johannesschobel - [REST][PhpBrowser][Frameworks] Added new methods to check for
Http Status Ranges
with nice "wrappers" (e.g.,seeHttpStatusCodeIsSuccessful()
checks the code between 200 and 299); by @johannesschobel - Improved the docs; by community
2.4.2 ¶
- Added support for
extends
in thecodeception.yml
and*.suite.yml
files; by @johannesschobel. Allows to inherit current config from a provided file. See example forfunctional.suite.yml
:
actor: FunctionalTester
extends: shared.functional.suite.yml
modules:
enabled:
- \App\Modules\X\Tests\Helper\Functional
- [Yii2] Restore null check for client in Yii2 by @wkritzinger. See #4940
- [Yii2] Resetting Yii application in
_after
. By @SamMousa. See #4928 - [Yii2] Breaking
$settings['configFile']
now supports absolute paths. In you have defined relative path to config in absolute manner - [WebDriverIO] Added
deleteSessionSnapshot
by @vi4o - [Symfony] Added support for custom kernel names with
kernel_class
config option. By @omnilight. - [Asserts] Better exception message for
expectException
by @Slamdunk - [REST] Decode all non-arrays to array. See #4946 by @Amunak, fixes #4944.
- [ZF2] Fixed compatibility with ZF2 ServiceManager by @omnilight.
- [Laravel5] Fixed memory leak when using Laravel factories inside Codeception. See #4971 by @AdrianSkierniewski
- [Db] Added support for
null
values in MSSQL driver by @philek - Handle absolute paths in ParamsLoader by @SilverFire
- Fix error on single file test. See #4986 by @mikbox74
- Upgraded to Codeception/Stub 2.0 by @Naktibalda, fixed compatibility.
2.4.1 ¶
- Fixed "Uncaught Error: Call to undefined method Codeception\Test\Descriptor::getTestDataSetIndex()" error when filtering tests.
- Better support of PHPUnit warning status by @edno:
- support PHPUnit addWarning()
- display 'W' instead of success for warning test cases
- Fixed Running test with invalid dataprovider by @okneloper. Fixed #4888 by @edno
- [Yii2] Request flow and database transactions refactored (by @sammousa):
- Breaking Application is no longer available in helpers via
$this->getModule('Yii2'')->app
, now you must use\Yii::$app
everywhere - Multiple databases are now supported
- More reliable application state before and during test execution
- Fixtures method is now configurable
- Subset of misconfigurations are now detected and informative messages created
- Breaking Application is no longer available in helpers via
- Fixed using
$settings['path']
inCodeception\Configuration::suiteSettings()
on Windows by @olegpro
(starting with/
), you must change it. @silverfire - [Laravel5] Added Laravel 5.4+ (5.1+ backward compatible) support for
callArtisan
method in Laravel5 module. See #4860 by @mohamed-aiman - Fixed #4854: unnecessary escaping in operation arguments logging by @nicholascus
- Fixed humanizing steps for utf8 strings by @nicholascus. See #4850
- Fixed parsing relative urls in
parse_url
. See #4853 by @quantum-x
2.4.0 ¶
- PHPUnit 7.x compatibility
- Dropped PHP 5.4 and PHP 5.5 support (PHP 5.5 still may work)
- Internal API refactored:
- Modern PHP class names used internally
- Moved PHPUnit related classes to codeception/phpunit-wrapper package.
- Removed
shims
for underscore PHPUnit classes > namespaced PHP classes
- Cest hooks behavior changed (by @fffilimonov):
_failed
called when test fails_passed
called when tests is successful_after
is called for failing and successful tests
Upgrade Notice: If you face issues with underscore PHPUnit class names (like PHPUnit_Framework_Assert) you have two options:
- Lock version for PHPUnit in composer.json: "phpunit/phpunit":"^5.0.0"
- Update your codebase and replace underscore PHPUnit class names to namespaced (PHPUnit 6+ API)


Microsoft release driver updates for older Surface Pro, Surface Laptop and Surface Book
by SururMicrosoft has released new drivers for older generations of the Surface Pro, Surface Laptop and Surface Book running Windows 10 May 2019 update or later.
The updates aimed at the Surface Pro 4, Surface Pro (2017), Surface Pro 6, Surface Laptop 1 and 2, and Surface Book are mainly intended to improve wireless connectivity.
| Windows Update History Name | Device Manager Name |
|---|---|
| Marvell Semiconductor, Inc. – Bluetooth – 15.68.17015.112 | Marvell AVASTAR Bluetooth Radio Adapter – Bluetooth • 15.68.17015.112 improves Bluetooth connectivity. |
| Marvell Semiconductor, Inc. – Net – 15.68.17015.112 | Marvell AVASTAR Wireless-AC Network Controller – Network adapters • 15.68.17015.112 resolves Wi-Fi connectivity issue. |
The 2017 Surface Pro driver update and the Surface Pro 6 driver brings HID improvements:
| Windows Update History Name | Device Manager Name |
|---|---|
| Surface – HIDClass – <IP_ADDRESS> | Surface Tcon Device – Human Interface Devices • <IP_ADDRESS> improves system bugcheck performance. |
Lastly, Surface Pro 6 is getting a fix for a CPU throttling issue:
| Windows Update History Name | Device Manager Name |
|---|---|
| Surface – Firmware – <IP_ADDRESS> | Surface System Aggregator • <IP_ADDRESS> resolves an issue where the CPU will throttle down to .4GHz, and improves battery stability. |
Microsoft is rolling out the Surface Pro driver update gradually via automatic updates, which is probably a warning that they should not be rushed into. Find the updates at the links above.
via Neowin


https://github.com/pbeshai/d3-scale-interactive
Interactively play with your scales in any vis, just by replacing your initialization of the scales from
const colorScale = d3.scaleSequential(...);with
const colorScale = d3.scaleInteractive('color', updateChart).scaleSequential(...);This way it's easy to develop with/turn on and off. Maybe there could even be a check to see if we're in dev otherwise just return the scale as it is and do nothing.
color = d3.scaleInteractive('color', updateChart) .scaleSequential(d3.interpolateMagma) .domain(d3.extent(data, d => d.v));


Soluta quasi cum delectus eum facilis recusandae nesciunt molestias accusantium libero dolores repellat id in dolorem laborum ad modi qui at quas dolorum voluptatem voluptatum repudiandae.
Soluta quasi cum delectus eum facilis recusandae nesciunt molestias accusantium libero dolores repellat id in dolorem laborum ad modi qui at quas dolorum voluptatem voluptatum repudiandae.
Some quick example text to build on the card title and make up the bulk of the card's content.
OpenSome quick example text to build on the card title and make up the bulk of the card's content.
OpenSome quick example text to build on the card title and make up the bulk of the card's content.
OpenSome quick example text to build on the card title and make up the bulk of the card's content.
Open


For the Teacher
This Big Book is designed to be used for two weeks. It promotes enjoyment of storybooks, development of vocabulary, the skills of prediction, sequencing and main idea, and the understanding that books are made up of words.
On Monday, the teacher
- shows everyone the cover of the book
- reads the title, while moving a finger under it
- turns to the first page, and discusses the picture (asks the children to predict what will happen)
- reads the text on the first page, fluently (not slowly), and
- asks the children what they think they will see on each page. (The teacher is the only one “reading.”)
On Tuesday, the teacher
- shows everyone the book, and
- reads the story again, following the words with a finger, without as much discussion of the pictures.
On Wednesday, the teacher
- invites children to join in with “reading” when the story comes to parts which are familiar to them
- shows a flashcard from the story and tells the class what the card says, and
- invites children to find the same word in the storybook (or to match the card with the word in the book to see if it is the same)
On Thursday, the teacher
- points smoothly to the words in the story and lets some volunteers “read” a page, if they can remember the story by now, and
- lets the children match the flashcards to the words in the story.
On Friday, the children
- act out (dramatize) the story as others help the teacher “read” it.


Setext header without a following
blank line should work. Though for
the best aesthetics, it's recommended
to have a blank line after the SeTexT.
Otherwise, there's a little too much
visual noise. 3
This some text preventing SeTexT from working,
but SeTexT should still work fine.


Tutorials
Toggle navigation
SeqAlignTutor
Tutorials
Basics
Local Alignment
Global Alignment
Dovetail Alignment
Algorithms
Basics
Local Alignment
Global Alignment
Dovetail Alignment


Type:
Please choose between delivery and pick-up
Thank you for placing your order.Kindly pick your meal from our restaurant at Diamond plaza.


Before Change
image3, _ = random_shapes((128, 128), max_shapes=10, min_pixel_intensity=50)
image4, _ = random_shapes((128, 128), max_shapes=10, min_pixel_intensity=0)
fig, axes = plt.subplots(2, 2, figsize=(10, 10))
for ax, image in zip(axes.ravel(), [image1, image2, image3, image4]):
ax.imshow(image)
ax.set_axis_off()
After Change
for i, image in enumerate([image1, image2, image3, image4], 1):
ax[i].imshow(image)
ax[i].set_title("Colored shapes, //{}".format(i-1))
// These shapes are well suited to test segmentation algorithms. Often, we
// want shapes to overlap to test the algorithm. This is also possible:


There are currently active online/offline "Refactorings" meetup groups in the Bay Area and New York. If you are interested in joining an existing group, or helping start one in your area, please add yourself to our list below:
If we get to critical mass in any location, we'll pull together a first trial meetup and take it from there. There is also a Google+ community which is used primarily to hold occasional hangouts (about once a month) that you can join from anywhere.


JsWizzi
JsWizzi is a subset of the ECMA-262 javascript standard used by the wizzi factory for processing ittf documents and build mTrees.JsWizzi uses the quite efficent esprima parserand is run by a custom javascript engine (JsWizziRunner).
Ittf documents may contain Js-Wizzi statements in
- The value part of nodes (ittf node values are interpolated)1 caption ${ name.capitalize() }
- Conditional expression of $if, $elif, $while command nodes1 $if name.substring(1,2) === 'is'
- Collection name of $foreach command node1 $foreach item in model.getCollection('alfa')
- Body of $ and $global command nodes1 $ var beta = 100
Sample JsWizzi expressions and statements
1 ul 2 $ var i = 0; 3 $while i < 10 4 li counting ${i} 5 $ i++;
The esprima syntax tree format is expected to be compatible with the Mozilla SpiderMonkey Parser API.
- Node types implemented by JsWizzi:
- VariableDeclaration
- Statements
- EmptyStatement
- ExpressionStatement
- IfStatement
- WhileStatement
- DoWhileStatement
- ForStatement
- ForInStatement
- BreakStatement
- ContinueStatement
- ReturnStatement
- TODO SwitchStatement
- Expressions
- UnaryExpression: !
- BinaryExpression: +. -, *, /, ==, ===, !=, !==, >=, >, <=, <
- UpdateExpressions: ++, --
- LogicalExpression: &&, ||
- ConditionalExpression: test ? consequent : alternate
- CallExpression
- MemberExpression
- AssignmentExpression: =, *=, /=, %=, +=, -=, <<=, >>=, >>>=, &=, ^=, |=
- ArrayExpression
- ObjectExpression
- FunctionCall
- FunctionDeclarationSimple function declaration. No prototypes. No function objects; functions cannot be built by code and used like objects.


Radial color gradient.
Figure 1: Output of a TRadialGradientSampler with several colors, a certain radius for the different wrap modes clamp, mirror and repeat
[See Also] GradSampler Example


JavaScript:
Type coercion
Type coercion is the process of converting a certain value to another, for instance a Number to String. It can also lead to great frustration when JavaScript implicitly handles something in a way that was not meant to be.
This text should be about ASI, but it's really small!
Try to click this header to change the text size. As we know from Java, using semicolon is a necessity when trying to run code. Your code simply won't compile when missing a semicolon. JavaScript has a fix for this and that is Automatic Semicolon Insertion. It automatically inserts semicolon when particular statements should be terminated by a semicolon and it means that when typing JS code, semicolons are optional right? Wrong. There are examples of where ASI tries to correct your code by inserting a semicolon, when you should've just had a syntax error. When I'm writing JS, I will consequently use semicolon everywhere it's appropriate.
Try to click this header to change the text size. As we know from Java, using semicolon is a necessity when trying to run code. Your code simply won't compile when missing a semicolon. JavaScript has a fix for this and that is Automatic Semicolon Insertion. It automatically inserts semicolon when particular statements should be terminated by a semicolon and it means that when typing JS code, semicolons are optional right? Wrong. There are examples of where ASI tries to correct your code by inserting a semicolon, when you should've just had a syntax error. When I'm writing JS, I will consequently use semicolon everywhere it's appropriate.
Arrow functions


Famous Cellular Automaton by John Conway
-
Game of Life -
Maze Generator Made with the Randomized Krukal's Algorithm
-
Hamiltonian Path Can a Genetic Algorithm find the best solution?
Based on The Coding Train videos
Check out on GitHub
Famous Cellular Automaton by John Conway
Made with the Randomized Krukal's Algorithm
Can a Genetic Algorithm find the best solution?


What the fuck!


| 1 | /* =========================================================== | |
| 2 | * JFreeChart : a free chart library for the Java(tm) platform | |
| 3 | * =========================================================== | |
| 4 | * | |
| 5 | * (C) Copyright 2000-2008, by Object Refinery Limited and Contributors. | |
| 6 | * | |
| 7 | * Project Info: http://www.jfree.org/jfreechart/index.html | |
| 8 | * | |
| 9 | * This library is free software; you can redistribute it and/or modify it | |
| 10 | * under the terms of the GNU Lesser General Public License as published by | |
| 11 | * the Free Software Foundation; either version 2.1 of the License, or | |
| 12 | * (at your option) any later version. | |
| 13 | * | |
| 14 | * This library is distributed in the hope that it will be useful, but | |
| 15 | * WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY | |
| 16 | * or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public | |
| 17 | * License for more details. | |
| 18 | * | |
| 19 | * You should have received a copy of the GNU Lesser General Public | |
| 20 | * License along with this library; if not, write to the Free Software | |
| 21 | * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, | |
| 22 | * USA. | |
| 23 | * | |
| 24 | * [Java is a trademark or registered trademark of Sun Microsystems, Inc. | |
| 25 | * in the United States and other countries.] | |
| 26 | * | |
| 27 | * ------------------------- | |
| 28 | * LengthConstraintType.java | |
| 29 | * ------------------------- | |
| 30 | * (C) Copyright 2005-2008, by Object Refinery Limited. | |
| 31 | * | |
| 32 | * Original Author: David Gilbert (for Object Refinery Limited); | |
| 33 | * Contributor(s): -; | |
| 34 | * | |
| 35 | * Changes: | |
| 36 | * -------- | |
| 37 | * 08-Feb-2004 : Version 1 (DG); | |
| 38 | * | |
| 39 | */ | |
| 40 | ||
| 41 | package org.jfree.chart.block; | |
| 42 | ||
| 43 | import java.io.ObjectStreamException; | |
| 44 | import java.io.Serializable; | |
| 45 | ||
| 46 | /** | |
| 47 | * Defines tokens used to indicate a length constraint type. | |
| 48 | */ | |
| 49 | public final class LengthConstraintType implements Serializable { | |
| 50 | ||
| 51 | /** For serialization. */ | |
| 52 | private static final long serialVersionUID = -1156658804028142978L; | |
| 53 | ||
| 54 | /** NONE. */ | |
| 55 | public static final LengthConstraintType NONE | |
| 56 | = new LengthConstraintType("LengthConstraintType.NONE"); | |
| 57 | ||
| 58 | /** Range. */ | |
| 59 | public static final LengthConstraintType RANGE | |
| 60 | = new LengthConstraintType("RectangleConstraintType.RANGE"); | |
| 61 | ||
| 62 | /** FIXED. */ | |
| 63 | public static final LengthConstraintType FIXED | |
| 64 | = new LengthConstraintType("LengthConstraintType.FIXED"); | |
| 65 | ||
| 66 | /** The name. */ | |
| 67 | private String name; | |
| 68 | ||
| 69 | /** | |
| 70 | * Private constructor. | |
| 71 | * | |
| 72 | * @param name the name. | |
| 73 | */ | |
| 74 | private LengthConstraintType(String name) { | |
| 75 | this.name = name; | |
| 76 | } | |
| 77 | ||
| 78 | /** | |
| 79 | * Returns a string representing the object. | |
| 80 | * | |
| 81 | * @return The string. | |
| 82 | */ | |
| 83 | public String toString() { | |
| 84 |
1
1. toString : mutated return of Object value for org/jfree/chart/block/LengthConstraintType::toString to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return this.name; |
| 85 | } | |
| 86 | ||
| 87 | /** | |
| 88 | * Returns true if this object is equal to the specified | |
| 89 | * object, and false otherwise. | |
| 90 | * | |
| 91 | * @param obj the object (null permitted). | |
| 92 | * | |
| 93 | * @return A boolean. | |
| 94 | */ | |
| 95 | public boolean equals(Object obj) { | |
| 96 |
1
1. equals : negated conditional → NO_COVERAGE |
if (this == obj) { |
| 97 |
1
1. equals : replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE |
return true; |
| 98 | } | |
| 99 |
1
1. equals : negated conditional → NO_COVERAGE |
if (!(obj instanceof LengthConstraintType)) { |
| 100 |
1
1. equals : replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE |
return false; |
| 101 | } | |
| 102 | LengthConstraintType that = (LengthConstraintType) obj; | |
| 103 |
1
1. equals : negated conditional → NO_COVERAGE |
if (!this.name.equals(that.toString())) { |
| 104 |
1
1. equals : replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE |
return false; |
| 105 | } | |
| 106 |
1
1. equals : replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE |
return true; |
| 107 | } | |
| 108 | ||
| 109 | /** | |
| 110 | * Returns a hash code value for the object. | |
| 111 | * | |
| 112 | * @return The hashcode | |
| 113 | */ | |
| 114 | public int hashCode() { | |
| 115 |
1
1. hashCode : replaced return of integer sized value with (x == 0 ? 1 : 0) → NO_COVERAGE |
return this.name.hashCode(); |
| 116 | } | |
| 117 | ||
| 118 | /** | |
| 119 | * Ensures that serialization returns the unique instances. | |
| 120 | * | |
| 121 | * @return The object. | |
| 122 | * | |
| 123 | * @throws ObjectStreamException if there is a problem. | |
| 124 | */ | |
| 125 | private Object readResolve() throws ObjectStreamException { | |
| 126 |
1
1. readResolve : negated conditional → NO_COVERAGE |
if (this.equals(LengthConstraintType.NONE)) { |
| 127 |
1
1. readResolve : mutated return of Object value for org/jfree/chart/block/LengthConstraintType::readResolve to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return LengthConstraintType.NONE; |
| 128 | } | |
| 129 |
1
1. readResolve : negated conditional → NO_COVERAGE |
else if (this.equals(LengthConstraintType.RANGE)) { |
| 130 |
1
1. readResolve : mutated return of Object value for org/jfree/chart/block/LengthConstraintType::readResolve to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return LengthConstraintType.RANGE; |
| 131 | } | |
| 132 |
1
1. readResolve : negated conditional → NO_COVERAGE |
else if (this.equals(LengthConstraintType.FIXED)) { |
| 133 |
1
1. readResolve : mutated return of Object value for org/jfree/chart/block/LengthConstraintType::readResolve to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return LengthConstraintType.FIXED; |
| 134 | } | |
| 135 |
1
1. readResolve : mutated return of Object value for org/jfree/chart/block/LengthConstraintType::readResolve to ( if (x != null) null else throw new RuntimeException ) → NO_COVERAGE |
return null; |
| 136 | } | |
| 137 | ||
| 138 | } | |
Mutations | ||
| 84 |
1.1 |
|
| 96 |
1.1 |
|
| 97 |
1.1 |
|
| 99 |
1.1 |
|
| 100 |
1.1 |
|
| 103 |
1.1 |
|
| 104 |
1.1 |
|
| 106 |
1.1 |
|
| 115 |
1.1 |
|
| 126 |
1.1 |
|
| 127 |
1.1 |
|
| 129 |
1.1 |
|
| 130 |
1.1 |
|
| 132 |
1.1 |
|
| 133 |
1.1 |
|
| 135 |
1.1 |


This document describes the tables that make up the Ensembl Compara schema. Tables are listed grouped in different categories, and the purpose of each table is explained. Several examples are also given. They are intended to allow people to familiarise themselves with the schema. The overall diagram can be found here.


{% trans 'Reset my password' %}
{% trans "We've e-mailed you instructions for setting your password to the e-mail address you submitted. You should be receiving it shortly."  You should be receiving it shortly." %}


{% extends "chat/base.html"%} {% block content %}
When the law and people of faith refer to an event as an "act of God," is that constructive or a distraction?
Has contemporary American capitalism become incompatible with Christian values?
Church-backed efforts to fight L.G.B.T. rights have been blamed for feeding a hateful atmosphere that accommodates attacks on gays.


Remote control from the internet.
Remote control via SMS.
Real time device location.
Start alarm with a message.
Remote data wipe.
Remote picture capture.
Data backup.
Android wear support.
Shell access.
Remote video capture.
See app usage statistics.
Set secure areas, receive alerts if your children exit or enter thearea.


Methods
addMod
- addMod(mod: Mod, world_area_id: string): this
applySextant
- applySextant(sextant: Sextant, world_area_id: string): this
blockedMods
- blockedMods(world_area_id: string): Mod[]
mutateNode
- mutateNode(world_area_id: string, mutate: function): this
-
Parameters
-
world_area_id: string
-
mutate: function
Returns this
withMutations
- withMutations(mutate: function): this
-
Parameters
-
mutate: function
-
- (builder: Builder): Builder
-
Parameters
Returns Builder
Returns this
Static withBuilder
- withBuilder(builder: Builder): Atlas
immutable data structure for the atlas in Path of Exile
main purpose is for reducer like usage in redux


FavReddit
Software Engineering
News

Hot
Top Past Week
Top Past Month
Top Past Year
Top All Time


RT @TerribleMaps: America as seen by Europeans
#America #Europe #Europeans #Americans #Map #Maps #Terriblemaps #TerribleMap #USA https://…
4/24/2020, 4:09:39 PM
Favs: 0
Retweets: 0
link--- layout: tweet ---
RT @TerribleMaps: America as seen by Europeans
#America #Europe #Europeans #Americans #Map #Maps #Terriblemaps #TerribleMap #USA https://…
4/24/2020, 4:09:39 PM
Favs: 0
Retweets: 0
link


SumoID
GO!
Line threshold
Please update your SumoRobot's SumoFirmware
To update download the latest SumoManager and click File > Update SumoFirmware.
https://www.robokoding.com/kits/sumorobot/sumomanager
...
Start a Video Call
Start
Stop


MCD to announce another major concert for Cork next year
by By Denise O’DonoghueAnother major artist looks set to follow the example of Westlife, The Script, Dermot Kennedy and Picture this by announcing plans for a concert in Cork city next year.
MCD Productions confirmed to us that the soon-to-be-announced concert will take place in Cork.
MCD will announce the act and venue at a press conference in Cork city on Monday afternoon.
It has been confirmed that the artist in question will be in attendance and will participate in a Q&A.
It is unclear where exactly the concert will take place, with both Páirc Uí Chaoimh and Musgrave Park hosting big names next summer.
The artist could perform on either venue or choose to appear elsewhere.
We wonder who it could be...?
READ MORE
Love Island’s Curtis Pritchard and Tommy Fury to swap jobs in new show


When you trade a large portfolio of assets, you may want to send orders in batches and not wait for the response of each one. To send asynchronous orders, set the asynchronous
argument to True
true
.
var ticket = ExerciseOption(contractSymbol, quantity, true);
ticket = self.ExerciseOption(contract_symbol, quantity, True)


Titans: Hawk and Dove Throw Down in a Cage Fight in New Photo Set
by Sam StoneEstranged romantic partners Hawk and Dove will come to blows in an upcoming episode of Titans... or perhaps not.
DC Universe has released a set of official stills from Season 2's twelfth episode, titled "Faux Hawk," featuring Dawn Granger fighting someone wearing the costume of her ex-boyfriend Hawk. However, judging by the title, the figure in the cage match might not be Hank Hall at all.
The longtime crimefighting couple broke up in the face of a shocking revelation from Dick Grayson, feeling that their relationship put others in danger. Since then, Dawn was among the Titans recruited by Bruce Wayne to free Dick and reunite the team against a resurgent Deathstroke, with Dove hot on Hank's trail to bring him back into the fold.
Click the button below to start this article in quick view.
Streaming now on DC Universe, Titans Season 2 stars Brenton Thwaites as Dick Grayson, Anna Diop as Kory Anders, Teagan Croft as Rachel Roth, Ryan Potter as Garfield Logan, Curran Walters as Jason Todd and Conor Leslie as Donna Troy, with Minka Kelly as Dawn Granger, Alan Ritchson as Hank Hall, Joshua Orpin as Superboy, Chelsea Zhang as Rose Wilson, Chella Man as Jericho, Drew Van Acker as Aqualad, Esai Morales as Deathstroke and Iain Glen as Bruce Wayne.
https://schema.orgBreadcrumbListListItem1Homehttps://www.cbr.com/ListItem2TVhttps://www.cbr.com/category/tv/ListItem3TV Newshttps://www.cbr.com/category/tv/news-tv/ListItem4Titans: Hawk and Dove Throw Down in a Cage Fight in New Photo Sethttps://www.cbr.com/titans-hawk-dove-cage-fight-photos/


Introduction to Python is a resource for students who want to learn Python as their first language, and for teachers who want a free and open curriculum to use with their students.
If your computer is already set up to run Python programs, you can get started with Hello World, your very first Python program.
If your computer is not yet set up to run Python programs, we can show you how to get Python up and running.
If you already know Python and would like to help build Introduction to Python, see the project's GitHub page. You might want to look at Issue 17, which discusses a few specific ways you can contribute to the project.
If you would like to support this project, you can visit my Gittip page. Even if you don't support me specifically, you might want to check out the Gittip homepage and about page. It's a wonderful and important project to be aware of.
If you have any questions or comments, feel free to get in touch:
I teach high school math and science, and I also teach an Introduction to Programming class each fall. This project started as a series of IPython Notebooks I wrote when teaching this year's programming class.


--- layout: post title: A peek at the additional Ajaxing coming in 0.11.2 categories: - horizon author: admin published: true date: 2005-04-11 14:59:33.000000000 +01:00 ---
The pursuit of Ajax nirvana with Rails is marching ahead with breath-taking haste. Thomas Fuchs has compiled a demonstration page of all the effects that we’ve added to the package. Web applications are soon going to be hot on the heels of the GUI goodness we’ve grown accustomed to with OS X.
But not content to show of the effects, Thomas has also recorded two impressive movies demoing the upcoming support for both auto-completion form fields and for an upload progress bar (which he has been working on together with Sean Treadway).
Thomas has been a driving force behind most of the new effects and the two fantastically cool abstractions of complete approaches. Are you looking to hire someone to inject the good mood of Ajax into your application? Then Thomas is at the forefront of that pack.
Read more from him on his weblog mir.aculo.us.


The calibration of the camera sensor was carried on with the determination of the transformation from the coordinate system of the centre of the gripper to the camera. The process of determining was redone with more precision, if the angle of the camera changes with the perpendicular movement of the robot's end effector. Afterwards the translation of the X,Y and Z was calculated. To calculate the exact diference from the tip of the gripper to the camera in the Z-axis, I gathered some readings from the camera when it is vertically pointing to the table. Thishelp in knowing the difference to the base of the robot. Then those were compared with the Z-coordinate of the end effector read in the RVIZ. After gathering data for different distances the average was calculated.
Having already the transformation the URDF was changed, by altering the binpicking_robot_macro.xacro file and adding the binpicking_gripper_macro.xacro, in order to incorporate the coordinate system of the sender of the laser sensor. The (.STL) file of the device was also included for a better visualization as shown above.
RealsenseThe calibration of the Realsense was my next step in this week. To do so the visp_hand2eye_calibration ROS package was used. This package is used to estimate the camera position with respect to its effector (the robot arm) using the ViSP library. To compute the relative transformation between the the camera and the hand it is necessary to fed the calibrator node with the /world_effector and the /camera_object transformations. This last one is calculated using an aruco and the aruco_detect package which detects the pose of aruco markers, and this process can be visualized in the picture below.
To use this package it is necessary to install the fiducial software from binary packages using the following command.
sudo apt-get install ros-kinetic-fiducials
This calibration process is easily visualized in the scheme bellow.
For this calibration to work, the creation of a client, which feeds different transformations to the calibrator responsible for computing the relative transformation between the the camera and the hand from a few poses, is fundamental. The camera_calibration_client.py program, present in the calibration file, is responsible for executing this process and printing the /effector_camera transformation in the xyz(transformation) and rpy(rotation) format. With this it is possible to visualize the tree of the transformations of the entire system.
In order to visualize the robot, realsense and all the associated coordinate systems, the URDF model of the entire system was changed, by altering the binpicking_macro.xacro file to incorporate the Realsense. All the components can be visualized and analysed live by running the next command.
roslaunch binpicking_system global_state_visualize.launch
The obtained caliberation results are as follows:


{% extends 'base/base.html' %} {% block exp_info_block %}
{% endblock %} {% block exp_block %}
Thank you for agreeing to participate in this study related on Search Interface Design.
Before you start searching, we will ask you a few questions about you.
We will then give you a few minutes to get comfortable with the search interface by undertaking a practice task.
You'll then move onto the four main search tasks. Before each task, you will complete a pre-task questionnaire about your knowledge of the search topic.
If you are happy to undertake this study and committed to doing your best on the search tasks, then please click the Next button below.
{% endblock %} {% block exp_footer_block %} Participant: {{ participant }} - Condition: {{ condition }} {% endblock %}