Single Page Applications Appeared
- Pages are generated on client side
- Generally stateless
- So no need to reflect back UI state to the server
- UI and Business Process are quite decoupled between UI and Server
- Smallest requests through REST APIs, which are more portable and reusable


{% extends "base.html" %} {% load i18n %} {% block title %}{{ title }}{% endblock %} {% block header %}
{% blocktrans %} We've emailed you instructions for setting your password, if an account exists with the email you entered. You should receive them shortly. {% endblocktrans %}
{% blocktrans %} If you don't receive an email, please make sure you've entered the address you registered with, and check your spam folder {% endblocktrans %}


I'm a curious exister living in Portland, OR. I'm also a dad and a husband who currently programs computers for a living.
Should you want to contact me you can shoot an email to dan
at this domain
. I also keep
a blog, have given a
few talks through the years, and you can see my
CV here.


Made by Danny Yang
Dice Simulator for Risk
Number Attacking:
Number Defending:
Attackers remaining:
Defenders remaining:
Simulate battle
Instructions
Input troop numbers between 0 and 200
Attacker number corresponds to how many troops are actually attacking
Individual simulation results are logged on right


{% extends 'documents/master.html' %} {% load staticfiles %} {% block title %}Password reset complete{% endblock %} {% block content %}
The password has been reset. You may login now.


Mackenzie Lueders
2016
arrow_drop_down
Liberty Cup
Silvia
Moskowitz
Presidential
Golden Rams
John Pancott
Level 3 States
Best blog ever!
I love gymnastics!


How to hide or display a person’s name on feedback comments that are published on the Feedback Comments module.
Names are hidden on this Feedback Comments module


Tomato phenotypes in a common genetic background of the variety
M82
Saturated mutagenesis
Real time
QTL


We've had a lot of great art-based blog posts and even post or two on the story behind the game, but I think it's high time we put forth a more technical review of the source of the game. (It is my desire to have these code reviews on a weekly basis from here forward.)
The code's source has gone through quite a few changes recently. Kyle has been able to get us walking along hereto, but working with new technologies always brings with it knowledge through mistakes. This occurance is natural and is often to be expected &emdash; especially when starting work outside of the context of good software engineering principles. The work was started out of necessity and has gotten us this far. Regardless, it is high time to rework the source.
Author: Sean Allred


Is this being used? If being used this document should talk about it. If not being used it should be deleted.
normativeTypes.html describes valueAlarm only for a value field that has type double. The implementation also supports all the numeric scalar types.
The array conversion methods must implement stride so that the stride argument of ChannelArray can be supported.
A debate is on-going about what semantics should be.
This should go away. This can not be done until pvIOCJava is changed.
The share data methods for arrays should go away. Copy On Write semantics for arrays should be implemented.


Dynamoose
Quick-start
Examples
API Docs
Using dynamoose
Get started with dynanoose with these simple examples
Starters
TTL


Concave shape class. More...
Public Member Functions | |
| ConcaveShape () | |
| Creates an empty shape. | |
| ConcaveShape (const sf::Shape &shape) | |
| Implicit constructor that adapts an existing sf::Shape. | |
| void | setPointCount (std::size_t count) |
| Sets the amount of points in the concave polygon. | |
| std::size_t | getPointCount () const |
| Returns the amount of points in the concave polygon. | |
| void | setPoint (std::size_t index, sf::Vector2f position) |
| Sets the position of a point. | |
| sf::Vector2f | getPoint (std::size_t index) const |
| Returns the position of a point. | |
| void | setFillColor (const sf::Color &fillColor) |
| Sets the polygon's fill color. | |
| void | setOutlineColor (const sf::Color &outlineColor) |
| Sets the polygon's outline color. | |
| sf::Color | getFillColor () const |
| Returns the polygon's fill color. | |
| sf::Color | getOutlineColor () const |
| Returns the polygon's outline color. | |
| void | setOutlineThickness (float outlineThickness) |
| sets the thickness of the shape's outline (0.f by default). | |
| float | getOutlineThickness () const |
| Returns the shape's outline thickness. | |
| sf::FloatRect | getLocalBounds () const |
| Return untransformed bounding rectangle. | |
| sf::FloatRect | getGlobalBounds () const |
| Return transformed bounding rectangle. |
Concave shape class.
This class has an interface and functionality similar to sf::ConvexShape, but is additionally able to work with shapes that are concave. It inherits the sf::Drawable and sf::Transformable classes.
Creates an empty shape.
You can use setPointCount() and SetPoint() to build your own concave shape.
| thor::ConcaveShape::ConcaveShape | ( | const sf::Shape & | shape | ) |
Implicit constructor that adapts an existing sf::Shape.
The concave shape should look as similar as possible to the original convex shape.
| sf::FloatRect thor::ConcaveShape::getGlobalBounds | ( | ) | const |
Return transformed bounding rectangle.
This function does not necessarily yield the minimal bounding rect that spans all vertices. It transforms the local bounding rect, and then computes the bounding rect of that transformed bounding rect -- so for example, a rotated shape might not have the bounding rect that you expect. This behavior is consistent with SFML.
| sf::Vector2f thor::ConcaveShape::getPoint | ( | std::size_t | index | ) | const |
Returns the position of a point.
| index | Which point? Must be in [0, getPointCount()[ |
| void thor::ConcaveShape::setOutlineThickness | ( | float | outlineThickness | ) |
sets the thickness of the shape's outline (0.f by default).
outlineThickness must be greater or equal to zero. If it is zero, no outline is visible.
| void thor::ConcaveShape::setPoint | ( | std::size_t | index, |
| sf::Vector2f | position | ||
| ) |
Sets the position of a point.
| index | Which point? Must be in [0, getPointCount()[ |
| position | New point position in local coordinates. |


| Description | Weight (g) | Measure | Vitamin C (mg/measure) | Vitamin K (ug/measure) |
|---|---|---|---|---|
| Apples, raw, without skin | 110 | 1.0 cup slices | 4.4 | 0.7 |
| Cherries, sweet, raw | 138 | 1.0 cup, with pits, yields | 9.4 | 2.9 |
| Grapefruit, raw, pink and red, all areas | 230 | 1.0 cup sections, with juice | 71.8 | 0 |
| Grapefruit, raw, white, Florida | 230 | 1.0 cup sections, with juice | 85.1 | -- |
| Grapefruit, american type (slip skin), raw | 92 | 1.0 cup | 3.7 | 13.4 |


Survey Form
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Filing accounts for A TEST COMPANY LIMITED
Company number 01234567
Registered office address 1 Any Street, Cardiff, Wales, CF12 3AB
Next accounts made up to 31 March 2017
due by 31 December 2017
Last accounts made up to 31 March 2016
Company number 01234567
Registered office address 1 Any Street, Cardiff, Wales, CF12 3AB
Next accounts made up to 31 March 2017
due by 31 December 2017
Last accounts made up to 31 March 2016


{{ define "search-help" }}
You can type in the search much like you would use Google or any other search field.
ferrari
+ferrari -vintage
.
tags:"italy"
author
,
brand
,
class
,
country
,
description
,
name
,
url
,
version
,
year
,
notes
,
spec.acceleration
,
spec.bhp
,
spec.pwratio
,
spec.torque
,
spec.weight
spec.weight:>600
will
list all cars with a weight above 600kg.year
,
spec.acceleration
,
spec.bhp
,
spec.pwratio
,
spec.torque
,
spec.weight
+stock
, +dlc
, +mod
.
You can remove stock, DLC or mod content from the results by using one (or multiple) of the following: -stock
, -dlc
, -mod
.
Of course, you can combine all of the above things into one query! That might look like the following:
+ferrari -vintage +tags:"semiautomatic" +spec.bhp:>600 -dlc
Server Manager uses Bleve to provide searching. Bleve is incredibly powerful and offers a great amount of control over search queries. We've covered some examples of how to make the most out of searching here, but please refer to Bleve's Documentation for more detailed examples and syntax.
{{ end }}


About
Interests
I’m an avid cycler, reader, and musician. I love spending time with my 100-year old grandmother.
Jazz
At Binghamton University, I was a member of the Hapur Jazz Orchestra as the lead alto saxophone player. I was also the president of the Harpur Jazz Project, the student group responsible for organizing performances feature world class jazz musicians. Grammy winners Pat Metheny and Bela Fleck and the Flecktones
I’ve played with Joe Lovano, Tony Kadleck,
Music has been always been a passion . Band trips to London, Montreal, Washington D.C., and Boston. I’ve played in such esteemed venues as the Kennedy Center and performed in the Boston Patriots Day Parade
Travel
I’m a
In 2015, between getting my Master’s degree and starting working, I went on a six month backpacking trip through Israel and Europe. It was certainly an enlightening time and one I’ll never forget. I met hundreds of kindred spirits from all across the world at the hostels I stayed at and on walking tours of the various cities I visited.
Insert Google Maps image
Ecology
I love my houseplants and
Insert slideshow of plants
Research Engineer - Sensor Simulation
Ford Motor Company
Decemeber 2019-Present
Transmission Data Analyst - Functional Safety
Ford Motor Company
April 2016-December 2019
Responsible for guaranteeing the performance of the safety watchdog system for Ford’s front wheel drive transmissions. Work as part of a cross-functional team to confirm the integration of safety system requirements, control software, and transmission hardware through design verification, data collection, and validation.
Accomplishments:
- Became the team’s subject matter expert on the independent plausibility checker (IPC), module configuration and its accompanying tools, and advanced parking features
- Spread lessons learned throughout the department by generating calibration guides and writing a training course, which I taught three to four times per year
- Implemented process improvements to help the team with calibration maintenance, establishing stronger data sanitization and definition of controls
- Developed a user-friendly database system that automates the creation of system validation reports for all transmission types and vehicle programs
- Created comprehensive documentation for several new safety features that tested system goals and pushed software changes as required to meet those goals
- Hired first as a contract employee, offered internal position after only eleven months and promoted two years later
Mechanical Engineer Intern
MYT Works
May 2013–Jul 2013
Engineered camera glider apparatuses for a startup focused on producing high-performance photography equipment. Developed glider designs and carried them through prototyping, testing, and ultimately to production. Wrote a program to run a microcontroller/servomotor system for automated camera gliding control.


WebAudio Examples
Example01
Example 01
step-01 simple oscillator
step-02 biquad filter
step-03 oscillator 2nd
step-04 oscillator 3rd for do-re-mi


Liverpool want to host GAA matches as club unveils plan to increase Anfield capacity
by Carl MarkhamLiverpool have unveiled plans to expand their Anfield Road stand by adding 7,000 seats in a new scheme which will take the ground's capacity up to 61,000 - and the club has plans to host GAA matches in the future.
Existing planning permission, which had proposed an increase of 4,800, has been allowed to lapse and a new, larger proposal looks set to be formally submitted next spring after two phases of public consultation, the first of which has just begun.
The scheme will cost in the region of £60million and, unlike the Main Stand refurbishment which was paid for through a £115million loan secured by owners Fenway Sports Group, the money for this project will come from refinancing at a local level.
There is no timescale as yet for the completion of the new stand, which will have small hospitality capacity, with the majority of seats outlined for general admission tickets, and no further development is being considered at this time.
The new plans are on the footprint of the old planning application but a redesign has allowed an increased capacity. The work will mean the partial closure of Anfield Road outside the stadium.
Liverpool's chief operating officer Andy Hughes told the club's website: "The plans for the proposed Anfield Road Stand expansion include exploring the opportunity for permanent permission to hold concerts and other major events at Anfield, including other sporting events such as Gaelic games and American football outside of the matchday calendar."
"We are looking at an extra 7,000 seats in the Anfield Road, the old planning application was for 4,800," added Hughes, speaking to PA.
"They are draft numbers at this stage and there is still a lot of work to do but it would take overall capacity of Anfield up to 61,000. We are currently just over 54,000.
"There is a limited amount of room behind Anfield Road at the moment so there is a short section of road which we will need to close.
Read more here:
"The overall footprint of the build and the overall height is very similar to the original planning application and that also included a partial closure of Anfield Road.
"There is a limited amount of space if you look at the constraints of the site and the Anfield stadium itself and we have spent a long period of time trying to figure out the best design and how we could get more capacity into the stand.
"I'm not saying it is exactly 61,000 but it is there or thereabouts and it is hard to see where it will go much further than that."
As part of the first stage of the consultation process Liverpool are holding drop-in events at Anfield on Friday and Monday (4pm to 8pm) and Tuesday (12pm to 4pm).


2 Samuel 15:28
See, I will tarry in the plain of the wilderness, until there come word from you to certify me.


BY EDWIN JAHIEL
LIVING OUT LOUD * 1/4 Written and directed by Richard LaGravenese. Photography, John Bailey. Editing, Gregory & Lynzee Klingman. Production design, Nelson Coates. Music, George Fenton. Produced by Danny DeVito, Michael Shamberg & Stacey Sher. A New Line release. Cast: Holly Hunter (Judith), Danny DeVito (Pat), Queen Latifah (Liz Bailey), Martin Donovan (Bob Nelson), Elias Koteas (the Kisser), Richard Schiff (Philly), et al. A New Line release. 102 minutes. R (language, drugs, sex massage)
Q: Mr. Critic, I have some questions about this movie. Be patient with me. I have a doctorate from Europe, have been in the USA for some time and speak English pretty well. But there are a few things about American life, politics, and some movies that I can't quite understand. Some expressions too as [ Editor's note: the speaker is foreign-born, therefore he uses "as" correctly, instead of "like"] when you put in your reviews words like parsimonious, avuncular, or tropism.
A: Not to worry. I have the same trouble with Finland and Turkmenistan. I promise to keep things simple. If I can't, I'll put an asterisk * for words easy to find in a dictionary.
Q: My first question is about the title that, well, confuses me. From the rather funny previews I thought it was Laughing Out Aloud. It wasn't, and it wasn't funny either.
A: I concur (it means I agree with you). I don't get the title either, except in a very roundabout * way.
Q: How about the subject? It is clear that Holly Hunter has recently divorced after being married for 16 years to a cardiologist who must make good money. Their apartment is in an expensive co-op on Fifth Avenue. Holly is desperate. DeVito, who plays the co-op's doorman-elevator operator is sad. Long ago his wife had kicked him out. Very recently, his daughter had died. Danny likes to gamble and owes a lot of money. Those two characters have been seeing each other for years, but without really seeing. For the man, the lady was so out of his class that he probably didn't think of her. For the woman, DeVito must have been like a piece of indifferent furniture. But now they get together, become friends, and DeVito falls in love with her.
I don't think that the situation is very original, except for the differences between the two characters. I remember some films with women of about 40 who suddenly found themselves alone and lonely.
A: You're doing OK. Let me add something from real life and from movies that also applies here: the cases of some medical students that marry nurses (Holly was and still is one) who work hard to help their mates, but after the man becomes a wealthy doctor, he dumps his wife for a younger woman, as in this film. The script does not go into background details, however.What it implies,you have to take on faith. And that is that Holly was defined by her husband, that Holly was not a whole person but merely Mrs. Cardiologist. So she finds herself at loose ends, mentally, psychologically, even physically (note the sequence with the masseur, a hulk *)
Q: Right. That's why she wanders about, tries to find herself (ugh!), gets a massage that may or may not includeout-and-out sex. We don't know. But aren't there more things we don't know?
A: Lots. Holly has fantasies, like a vision of her suicide. That's pretty clear. But other fantasies are not. The main one is when she is in a bar during amateur night, looks for a bathroom, opens a door and is seized by a man who kisses her, then apologizes. He thought she was a woman he was expecting. Did this happen? Was it a figment * of Holly's imagination? In any case, it seems to have done her some good.
Q: How about her enthusiasm about the singer of that bar? She is played by Queen Latifah. I know that she is a rapper who now also does "regular" music. When I was young, abroad, I saw many movies that had in them what I believe you call torch singers. Here Queen Latifah (who is very good) is Liz Bailey. I bet it is a reference to Pearl Bailey (whom we adored in Europe), in style and appearance.
A: Wish I had thought of that. Latifah's somewhat modernized versions of older songs were good, yes. Holly's enthusiasm is partly that phony cliche where non-WASPs * (think of Charlie Chan) are endowed with wisdom, even though in this case Latifah herself admits that she is none too wise in her love life.
Q: Were you interested in the non-affair between Holly and Danny? I just could not get excited by it, even though there were a few OK moments.
A: I was most uninterested. Those characters are the whole movie, and while I did sympathize with their problems, this couple is uninteresting. The movie got duller and duller. It became Sighing Out Loud as I kept looking at my watch. Even the camera-work was dull. Things became laughable when Holly took uppers (this means feel-good drugs, pills) and went to a nightclub recommended by Latifah.
Q: Was this dull too?
A: It was silly. The club turns out to be an all-lesbian place, packed wall-to-wall by women in designer * outfits, dancing like choreographed, well-rehearsed professionals! Holly takes to the floor like a veteran. Come on!
Q: There were several scenes with Holly that did not seem to add anything. Agree?
A: Absolutely. Tacked-on * tacky * stuff. Take Nurse Holly at the hospital, first with an unpleasant, older patient who berates * her equally unpleasant daughter. Pointless. Then the same lady is all dolled up * and becomes Holly's confidante. Now, if you asked the scriptwriter, he might tell you that both scenes have something to do with the fear of being left alone, especially as one ages. But they really contribute nothing to the story.
Q: Who was the scriptwriter?
A: Well-known film writer Richard LaGravenese: The Fisher King, A Little Princess, The Mirror Has Two Faces, etc. He is the person who transformed the Harlequin-type * book The Bridges of Madison County, a sentimental weepie *, into a very nice movie. But here, in his first time as a director, his would-be moving-feminist-tract * is a flat yawner *. It was inspired by two Anton Chekhov short stories which, to my shame, I do not know.
Q: Still, didn't you like the performances?
A: One does what one can with what one has. Not much in this case. Ms. Hunter, 40, was given make-up and colored hair that are most un-flattering (there are too many closeups in any case) and cheapen her character. She repeats too many mannerisms. Her Georgia accent has sometimes been an asset, sometimes not, and sometimes was made hybrid by her trying to conceal it, as in this film. The hybrid approach does not work. Her voice--which is not the same the thing as her accent -- often grates. After the premiere of The Piano, she spoke a mile a minute * to the press, as if trying to make up for her role as a mute. She and her voice raised many eyebrows.
I admit though that at picture's end (when Holly seems vaguely ready to have a real life of her own) DeVito's singing of They Can't Take That Away >From Me was quite good.
" Le mauvais gout mene au crime" (Stendhal)
Edwin Jahiel's movie reviews are at http://www.prairienet.org/ejahiel
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


For the best pizza south of the Sahara. She will be impressed.
The total charge is 0ksh
Would you like a delivery at 200ksh? Delivery typically takes less than 45 mins within Nairobi.


| SOCI - The C++ Database Access Library |
|
Home |
Events: 2019-11-09:4.0.0 version is released.
2019-09-27:
Created branch release/4.0 for maintenance of the upcoming SOCI 4.0.0 release.
2015-04-09:
3.2.3 version is released.
2013-09-11:
3.2.2 version is released.
2013-04-13:
3.2.1 version is released.
2013-03-25: 3.2.0 version is released.
2012-11-12: SOCI development (Git repository and bug tracker) moved to github.com/SOCI.
2011-10-11: 3.1.0 version is released.
2008-07-10: 3.0.0 version is released.
2006-12-04: 2.2.0 version is released.
2006-05-15: 2.1.0 version is released.
2006-01-16: 2.0.0 version is released.
2005-10-14: 1.2.1 version is released.
2005-10-02: 1.2.0 version is released.
2005-03-06: 1.1.0 version is released.
2004-10-16: 1.0.1 version is released.
2004-10-12: SOCI project is registered at SourceForge.
2004-09-29: First version of SOCI is announced on comp.lang.c++.moderated.
|


How to move VirtualBox VM’s To Other Drive
Mar 2016
today for a second time i must move my Vbox vms to another location , because i don’t have enough space in that location.
VirtualBox have problem to move VM’s because if you can not introduce your VM’s to VirtualBox again you can not use it or you have hard way to pass.
i solve this problem 2 years a go . and i dont document it know when i have this problem a gain i cannot remember how solve it :|
i promise to my self if i solve it a gain i write my solution in blog :)))
ok first you shut down all of your vm
it is very important and now close your vbox move all your vm to other location you want
now open vbox you see all off your vm loss a path right click on vm an now remove them
go to tools option and click on add find your vm and add it in your vbox problem solved
its was too easy keep it simple :D
have fun


LicenseFile class
- Annotations
Constructors
- LicenseFile(String path, String name, {String? version, String? url})
-
LicenseFile.fromJson(Map<
String, dynamic> json) -
factory
Properties
Methods
-
change(
{String? url}) → LicenseFile -
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
toJson(
) → Map< String, dynamic> -
toString(
) → String -
A string representation of this object.
override
Operators
-
operator ==(
Object other) → bool -
The equality operator.
override


Shopcart REST API Service
Status:
Retrieve and Delete a Shopcart:
Shopcart ID:
Retrieve Shopcart
Delete Shopcart
Checkout Shopcart
Create an Empty Shopcart
Customer ID:
Create Shopcart
Add / Update Items to Cart
Shopcart ID:
Item ID:
Item Name:
Item Quantity:
Item Price:
Add Item to cart
Modify Item in cart
Delete Item in cart
List All Items in Shopcart
List All Shopcarts
Clear
Item ID
Item Name
Item Quantity
Item Price


{% extends "django_registration/base.html" %} {% load bootstrap4 %} {% block content %}
Password or Username is incorrect
Welcome to Video Instructor
Login to continue:
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Offers
ID
Seller
Seller smart meter
Buyer
Buyer smart meter
Price
Electricity amount
Start time
End time
State
Recipient
Balances
Identity
Account
Balance


GMAT API User’s Guide¶
This chapter contains information and general guidelines for using the GMAT API, along with example use cases, presented in a tutorial fashion.
This chapter contains information and general guidelines for using the GMAT API, along with example use cases, presented in a tutorial fashion.


cabal
> cabal --version
cabal-install version <IP_ADDRESS>
using version <IP_ADDRESS> of the Cabal library
> cabal install cabal cabal-install
cabal
and places it in ~/.cabal/bin
~/.cabal/bin
in your shell's PATH
> cabal init
.cabal
file to start your project.cabal
file contains the settings for your project
> cabal sandbox init
.cabal-sandbox
– folder for libraries and build artifacts
cabal.sandbox.config
– file with target folders for libraries and build artifacts
Central package archive for Haskell
Add to build-depends
in your .cabal
file
> cabal install
--dry-run
– See what Cabal plans to do
--only-dependencies
– Only installs dependencies and not your library or executable
--enable-test
– Installs dependencies for any automated test suites
-jN
– Builds N packages in parallel
> cabal build
dist/
> cabal run
executable
defined in your .cabal
fileexecutable
s exists, you can specify the name using
cabal run [name]
to pick which one.
> cabal repl
-fdefer-type-error
The dreaded ExitFailure 1
during cabal install
--reorder-goals
– Searches different branches--max-backjumps=1000
– Searches more branches--allow-newer
– Ignores upper bounds in build-depends
~/.ghc
, GHC's default user package locationcabal freeze
– Freezes version of dependenciescabal upload
– Publishing to Hackagecabal test
– Automated testingcabal test hlint
– Lintingcabal bench
– Benchmarking your codecabal haddock
– Documentation generationcabal haddock
– Documentation generationghc-pkg
cabal - the simple guide – by Katy Chuang
Haskeleton: a Haskell project skeleton – by Taylor Fausak
A Practical Cabal Primer – by mightybyte
Haskell Best Practices for Avoiding "Cabal Hell" – by mightybyte


AUXjonem

Spent the whole night mucking around in unity - focus was on camera/ui/lighting. I opened a old scene in the project. It gave me a base to work from.
Used the cube to create walls/floor/roof. Previously only planes had been used - and they are to skinny.
 In one of my 2.5d platformers I used a model for the floor. This looked more interesting than the cube. In future build ill explore using some of my 3d models.

I wanted this to fit with my other scene so recycled some objects - the red head portrait, player (though I added four smaller models behind the main character).
For the artwork I decided to import Catherines character paintings. I used one on these on the ui but reduced the alpha channel.
I used her paintings to texture objects - especially that red. Looks damn good wrapped around
For the floor/wall/roof a small plain texture was used that I sniped from catherines character painting
My biggest achievment with this build is the text fade.
One of my QA testers - Quentin asked me how to remove the ui in the last Catherine project. I had to tell him - you can't.
I tried applying the text fade to the images but it didn't work.
Having text fade out gives me lots of options
On the right side there is a series of her characters applied like paintings along the wall.
Left side I included some of my own paintings that were already part of the project.

The cameras interesting with the tilting but problems with the controls.
There are points where you can't see player. Having the multi characters throws off the axies. I'll keep experimenting. In a previous 2.5d I used 10+ models and had them successfully running and jumping. A 2.5d control sceme may work better. Other option is to give the ability to switch between characters - a bit like real time stratagies but in a 3d platformer enviroment. Needs to have the ability for the four others to follow the main character.

One change i did to the other scene was add a orthographic camera.

It completely changed the look. Maybe add a button that could swich between the two views.
Cycling through a range of lighting would also be good
Here is the apk download
AUXjone.apk


That game really looks like it's from a few years ago.
xXJumpyXx
Helping Hand
I play with all settings on Ultra and V-Sync off. It looks really, really good.
But I haven't really played MP, only one match so I haven't had time to enjoy the scenery. But the SP, it looks better than BF3.
Topicstarter
José Ortega
Global Moderator
Inception wrote:
That game really looks like it's from a few years ago.


Vikings fans outraged as season 6 teaser 'confirms' major character death
Vikings season six is just around the corner, yet they can’t help but keep on dishing out the spoilers.
While we eagerly anticipate the final installment of the show, bosses of the History Channel hit have gone and basically confirmed yet another death.
Yes, after seemingly revealing both Lagertha (Katheryn Winnick) and Floki (Gustaf Skarsgård) are on their way out, they’ve now teased Hvitserk (Marco Ilsø) will be joining his father, Ragnar Lodbrok (Travis Fimmel), in Valhalla.
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In a short clip from upcoming episodes, the warrior can be seen tied to a stake as he says his final words to his brother Ubbe (Jordan Patrick Smith).
‘Don’t you see, Ubbe?’ he struggles to muster up: ‘I was an instrument of the Gods, it was my fate, it was me.’
While his big bro remains speechless, the camera pans out and shows flames engulfing Hvitserk out at sea.
Looking up towards the sky, the fan favourite doesn’t look scared or in pain, but more at peace that he will be united with the God, Odin.
Fans were quick to comment, and appeared unimpressed by the clip – which could have just confirmed another death.
‘I hope you guys didn’t just spoil anything,’ one wrote while another added: ‘You’re really ruining the season.’
And it appears this was the general consensus, as someone else said: ‘Why the f**k you just spoiled Hvsiterk death?’
This isn’t the first time the character’s death has been teased, as in a recent Q&A, Marco Ilsø who stars as Hvitserk teased bad things were on their way.
One of the actor’s 345,000 followers asked the question we’ve all been wanting to know the answer to: ‘Will Hvitserk survive?’
And while his answer was extremely vague, the picture behind the 24-year-old’s response gave us goosebumps.

Vikings season 6 will return to the History Channel and Amazon Prime on 4 December.
Got a showbiz story?
If you've got a story, video or pictures get in touch with the Metro.co.uk Entertainment team by emailing us<EMAIL_ADDRESS>calling 020 3615 2145 or by visiting our Submit Stuff page - we'd love to hear from you.


Relational Databases and SQL
Comparing Database Types
SQL:
-
Data is arranged in rows, columns, schemas, and tables relationality
- Very reliable and fast in retrieving data
- Well-defined standards to abide by
- Easy retrieval and storage
NOSQL:
- Data is arranged in unstructured documents
- High level of flexibility with different data models
-
Good for large-scale storage of unstructured data such as messaging
data, log data, user and session data
- Lower Cost & Open Source
-
Scalability is easier: designed to perform exceptionally well under
various conditions
- Better redundancy (more likely to have copies of data)
SQLite vs The Rest
Relational Databases
Relation = List of Stuff
One-to-one relation is where a record on one table is
copied to another table (e.g. a user’s email being present on two tables)
One-to-many relation is where a record represents/is
connected to many different records (e.g. a user may have many orders from
a store. An order can only have one user)
Many-to-many relation is where many records can relate to
many other records. This requires a connecting table to reference the
relationships between all the records(e.g. many students may have many
different classes that they attend. A connecting table called “enrolments”
would contain references to which students go to which classes).
Tables:
- Data in rows and columns
-
Column represents a field or attribute that is common to all records
- Tables normally have more rows than columns
- Tables have Primary Keys that uniquely identify each row.
- relationships with other tables are represented by Foreign Keys
Index:
- Similar to an index in the back of a book
-
The index lists all the topics in a specified order and then refers to
one or more specific records.
-
An index creates a new data structure that refers to a specific
table(s).
- It is stored on the database
- Used to speed up searching in the database
- Indexes can be created or dropped with no effect on the data
View:
-
A view is a virtual table created from the output of an SQL query.
-
Views allow us to:
- Structure data in a user-friendly way.
-
Control + restrict access to the specific data/allow users to modify
exactly what they need and no more.
- Summarise data from various tables


Before Change
self.activation = activation
// aggregator type: mean/pool/lstm/gcn
if aggregator_type == "pool":
self.fc_pool = nn.Linear(self._in_src_feats, self._in_src_feats)
if aggregator_type == "lstm":
self.lstm = nn.LSTM(self._in_src_feats, self._in_src_feats, batch_first=True)
if aggregator_type != "gcn":
self.fc_self = nn.Linear(self._in_dst_feats, out_feats, bias=bias)
self.fc_neigh = nn.Linear(self._in_src_feats, out_feats, bias=bias)
self.reset_parameters()
def reset_parameters(self):
After Change
if aggregator_type == "lstm":
self.lstm = nn.LSTM(self._in_src_feats, self._in_src_feats, batch_first=True)
if aggregator_type != "gcn":
self.fc_self = nn.Linear(self._in_dst_feats, out_feats, bias=bias)
self.fc_neigh = nn.Linear(self._in_src_feats, out_feats, bias=bias)
self.reset_parameters()
def reset_parameters(self):
r
Description
-----------
Reinitialize learnable parameters.
Notes
-----
The linear weights :math:`W^{(l)}` are initialized using Glorot uniform initialization.
The LSTM module is using xavier initialization method for its weights.
gain = nn.init.calculate_gain("relu")
if self._aggre_type == "pool":
nn.init.xavier_uniform_(self.fc_pool.weight, gain=gain)
if self._aggre_type == "lstm":
self.lstm.reset_parameters()
if self._aggre_type != "gcn":
nn.init.xavier_uniform_(self.fc_self.weight, gain=gain)
nn.init.xavier_uniform_(self.fc_neigh.weight, gain=gain)
def _lstm_reducer(self, nodes):
LSTM reducer


Motivation
We aim to design a general policy network architecture so that it has a inductive bias to converge into the following subtask hierarchy as below.
The agent wants to complete the task of building a bridge.
This task can be decomposed into a tree-like, multi-level structure, where the root task is divided into GetMaterial
and BuildBridge
.
GetMaterial
can be further divided into GetGrass
and GetWood
.
This is a sketch on how this subtask structure should be represented inside the agent’s memory during each time step. The memory would be divided into different levels, corresponding to the subtask structure. The vertical expansion corresponds to planning or calling the next level subtasks. The horizontal expansion can be thought of as an internal update for eachsubtask. The black arrows are copy operations.
Method: Ordered Memory Policy Network (OMPN)
We achieve the goal described above with a fully end-to-end network. We use a multi-level memory slots where each slot represent one subtask. The central concept in our model is expansion position from which the vertical expansion is performed.
-
if the model thinks the current lower-level subtask is ended, then the expansion position should be high (c) so that the higher-level subtask is vertically expanded into a new lower-level subtask.
-
if the model thinks the current lower-level subtask is not ended, then the expansion position should remain low (a) so that the higher-level subtask is copied to achieve long-term dependency..
The details of our design can be found in the paper.
Task Decomposition with Behavior Cloning
Our main result is that by simply using behavior cloning on the demonstration dataset, the ground truth subtask structure would naturally emerge inside our model, which can be found by monitoring the expansion positions. In the following visualization, we plot the trajectories as well as the change of expansion positon over time.


In Corvallis for a long weekend with Cora, leaving Amber at home to relax and recoup.
2/4/2011, 2:10:46 PM
Favs: 0
Retweets: 0
link--- layout: tweet ---
In Corvallis for a long weekend with Cora, leaving Amber at home to relax and recoup.
2/4/2011, 2:10:46 PM
Favs: 0
Retweets: 0
link


--- layout: base title: 'Live Theme Editor compatible with Bootstrap' description: 'Cluckles Live Theme Editor which utilises Less to Customise Twitte Bootstrap. Open source and embeddable. MIT Licence.' permalink: / ---
{{ site.title }} is a live theme editor that leverages Less to Customise Twitter Bootstrap (In the future I will look into adding support for other CSS Frameworks).
Hey There! I have spent a good while creating cluckles and have finally officially released V1. If you like it, please help me out and share it :)
Why not give it a try, and see what theme you can make (Let me know if you create anything you're proud of)?
P.S. This website was completely Themed using Cluckles!


Tattooed jianbing XOXO, banh mi health goth vinyl vaporware. Viral keffiyeh hella hot chicken vexillologist pabst mixtape man braid chia. Scenester bushwick tofu kombucha ugh poutine. Bicycle rights 90's flexitarian tofu cliche stumptown paleo post-ironic. Drinking vinegar celiac readymade 90's. Single-origin coffee put a bird on it schlitz deep v. Mlkshk celiac gentrify mixtape small batch fanny pack. Vaporware activated charcoal seitan cornhole, echo park pitchfork tbh chillwave woke cray asymmetrical small batch poutine bicycle rights skateboard.


Id: 266
Name: Piece of Toast
Status: Alive
Species: unknown
Type: Bread
Gender: Genderless
OriginName: unknown
OriginUrl:
LocationName: Interdimensional Cable
LocationUrl: https://rickandmortyapi.com/api/location/6
Image: https://rickandmortyapi.com/api/character/avatar/266.jpeg
Episode: ['https://rickandmortyapi.com/api/episode/8', 'https://rickandmortyapi.com/api/episode/17']
Url: https://rickandmortyapi.com/api/character/266
Created: 2017-12-31T13:48:58.850Z


Thema Advanced Components
Thema advanced components.General Form Helpers
Note: works in Chrome, Firefox, Opera and IE10.
Just add class to your textarea textarea-expandable
to use this feature.
Just add class to your textarea autosize-normal
to use this feature.
Just add class to your textarea autosize-animated
to use this feature.
Input Pickers
Just add class
date-picker
in your text box to show the date picker
time-picker
in your text box to show the time picker
Just add class
color-picker-hex
in your text box to show the color picker for hex
Just add class
color-picker-rgba
in your text box to show the color picker for rgba
Tags Input
Just add id
inputag-1
in your text box to initialize the tagsinput
Just add id
inputag-2
in your text box to initialize the tagsinput
Just add id
inputag-3
in your text box to initialize the tagsinput
Just add id
inputag-4
in your text box to initialize the tagsinput
For more info just visit here of there official website.
File Input
Wysiwyg Editor
Just add this element

to add wysiwyg in your form
Date Range
February 19, 2015 - March 19, 2015
Select2 - Replacement for select
Switches
IOS SWITCH
Sizes
Colors
FORM FLIP TOGGLE
Sizes
Colors
Iconic
Note: Only font awesome font are allowed on this feature.
This is the attribute that you need to add in your toggle data-on="" data-off=""
. But you need to find first the hexa value of the font you want to add in font awesome css file.
Other Switch Input
Rating Stars
Autocomplete using typeahead
Form Tooltips
Some helpful information
Some helpful information
Some helpful information
Some helpful information
Some helpful information
Some helpful information
Some helpful information
Some helpful information
Some helpful information
Some helpful information
Some helpful information
Some helpful information


Deep learning is a transformative technology that has delivered impressive improvements in image classification and speech recognition. Many researchers are trying to better understand how to improve prediction performance and also how to improve training methods. Some researchers use experimental techniques; others use theoretical approaches. In this course we will review both experimental and theoretical analyses of deep learning. We will have 8 guest lecturers as well as graded projects for those who take the course for credit.


Welcome to Virtual Fly Brain (VFB) - an interactive tool for neurobiologists to explore the detailed neuroanatomy, gene expression, and associated phenotypes of the adult Drosophila melanogaster brain
Welcome to Virtual Fly Brain (VFB) - an interactive tool for neurobiologists to explore the detailed neuroanatomy,
gene expression, and associated phenotypes of the adult Drosophila melanogaster brain.
Our goal is to make it easier for researchers to find relevant anatomical information and reagents. We integrate the neuroanatomical data and expression from the published literature and image datasets onto the same standard, making it possible to run cross searches and comparisons.
The Brain Viewer is an interactive, configurable application that allows the user to view and explore the adult fruit fly brain anatomy in terms of known Drosophila brain neuropils.
The viewer's central window features a 2D representation of an adult brain that can be viewed along the x-, y- and z-axes, rotated and zoomed, and shows neuropil domains as colour-coded overlays. Domains can be selected by double-clicking on the stack or by selecting them on the interactive anatomy tree on the right panel (left click). The tree can be simply browsed, or terms can be directly searched by using the search box above the tree. More information about the last selected term (on the stack or on the tree) will be displayed in the lower panel, the term info window.
Searching for neurons, innervation patterns, gene and transgene expression and phenotypes associated to a brain neuropil, is possible by right/control clicking on the term in the tree or on the term info window.
Searches for individual neuron images is also possible, with result lists displaying relevant neurons, divided into groups of morphologically similar neurons (tool developed by Gregory Jefferis, Division of Neurobiology, MRC Laboratory of Molecular Biology). Currently, 16132 images of single neurons from the Flycircuit dataset can be searched on the site. We thank the group of A.S. Chiang for taking the lead in making their raw image data available.
* The brain stack currently used for the viewer was kindly provided by Arnim Jenett of HHMI Janelia Farm research campus, and by Kei Ito and Kazunori Shinomiya of Tokyo University.
The Anatomy/Neuron Finder tool allows searching for information associated with any neuropil domain or neuron.
The interactive Query Builder allows the building and execution of more complex queries that may include multiple anatomy terms with differing properties. It allows searching for neurons that connect two different brain regions, specifying the directionality of these connections.
We are working hard to ensure that the viewer works well in all major browsers and operating systems. Your experience will be best when using well tested browser/OS, so please refer to the table below to find out the level of browser/OS compatibility we currently offer:
| Browser/OS | Windows | Mac OS | Linux | Legend | |
|---|---|---|---|---|---|
| Firefox 3.x | - All features work, - with some problems | ||||
| Safari | - Viewer loads, but with limited functionality | ||||
| IE | - Sorry, try other browser | ||||
| Konqueror | - Not tested - try it at your own risk |


zone size:
grid mode:
hide grid zoom:
show elements zoom:
show cells:
show markers:
show texts:
show empty cells:
rules - cells
rules - markers
rules - texts
Data: Random data with properties 'a' and 'b'


Since the ‘normal’ Hadoop HDFS client (hadoop fs) is written in Java and has a lot of dependencies on Hadoop jars, startup times are quite high (> 3 secs). This isn’t ideal for integrating Hadoop commands in python projects.
At Spotify we use the luigi job scheduler that relies on doing a lot of existence checks and moving data around in HDFS. And since calling hadoop from python is expensive, we decided to write a pure python HDFS client that only relies on protobuf. The current snakebite.client library uses protobuf messages and implements the Hadoop RPC protocol for talking to the NameNode.
During development, we needed to verify snakebite.client behavior against the real client and for that we implemented a minicluster that wraps a Hadoop Java mini cluster. Obviously this minicluster can be used in different projects, so we made it a part of snakebite.
And since it’s nice to have a CLI that uses snakebite.client we’ve implemented a CLI client as well.
Warning
snakebite.client hasn’t been tested in the wild a lot! USE AT YOUR OWN RISK!
Tests can be run with nosetests. Currently, only integration tests are provided and use minicluster.py to spawn an HDFS minicluster.
When running the tests, make sure that the HADOOP_HOME environment variable is set. The minicluster uses the hadoop-mapreduce-client-jobclient.<version>-tests.jar and assumes this is located in HADOOP_HOME. The job client test jar can also be specified by using the HADOOP_JOBCLIENT_JAR environment variable.
Also, make sure the JAVA_HOME environment variable is set.
Note
A hadoop installation is only required for testing.
Only supports Auth method SIMPLE. We might want to have SASL or KERBEROS as well
More tests. Currently only integration tests with a minicluster are available.
Tests for the CLI.
Move to argparse to have arguments per command
Return correct exit codes from cli client.
The python packaging (pip stuff) probably needs some more love.
Copyright (c) 2013 Spotify AB
Licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Code in channel, logger and service was borrowed from https://code.google.com/p/protobuf-socket-rpc/ and carries it’s respective license.


--- title: "SOC830 Lab 6: Univariate Statistics 2" lastmod: 2018-12-28T00:00:00.000Z draft: false type: docs maths: true output: blogdown::html_page: toc: true linktitle: "Lab 6: Univariate Statistics 2" menu: docs: parent: SOC830(SOCI702) weight: 35 ---
The sixth lab session covers the following:
We will use five packages for this lab. Load them using the following code:
library(dplyr)
library(sjlabelled)
library(sjmisc)
library(sjPlot)
library(summarytools)
This lab uses the 2012 AuSSa dataset. You can download the file of this dataset in the course website(iLearn). Download the data file and put it in your working directory. Then, run the following code:
aus2012 <-readRDS("aussa2012.rds")
The dataset is loaded as aus2012.
A percentile is a statistical measure indicating that the value below which a given percentage of cases (or observations) falls. . ‘quantile(data name$variable name, c(pct1, pct2, pct3,…), na.rm = TRUE)
’ computes the percentiles of variables of your choice. Percentile values (e.g., pct1
, pct2
) should be entered as proportions. For example, when you want to calculate the 10th percentile, you should input .10. ‘na.rm = TRUE
’ excludes cases with missing values (NA) in calculating the percentile. The following code computes 10th, 25th, 50th, 75th and 90th percentile of age in aus2012.
quantile(aus2012$age, c(.10, .25, .50, .75, .90), na.rm = TRUE)
## 10% 25% 50% 75% 90%
## 29 41 54 65 73
In lab 5 I showed how to compute descriptive statistics for all respondents. However, we sometimes need to calculate them for sub-groups such as only male or female respondents. This kind of analysis is called sub-group analysis. This section focuses on how to conduct this sub-group analysis.
We will make a new dataset called aus2012.m which includes only male respondents. Run the following code:
aus2012.m <- aus2012 %>%
filter(sex == 1)
frq(aus2012.m$sex)
##
## # Sex of Respondent (x) <numeric>
## # total N=699 valid N=699 mean=1.00 sd=0.00
##
## val label frq raw.prc valid.prc cum.prc
## 1 Male 699 100 100 100
## 2 Female 0 0 0 100
## NA NA 0 0 NA NA
The first line assigns a new dataset name before the arrow (<-) and the name of the dataset from which the new dataset is extracted after the arrow. The second line specifies selection criteria. Use ‘filter(selection criteria)
’. In this case, we select cases in which respondents are males (sex == 1). Note that we use two equal signs (==), which is a logical operator meaning “exactly equal to”. Table 1 shows logical operators.
The third line generates a frequency table of gender for the new dataset. As expected, it only includes male respondents.
The following code creates a dataset which includes only female respondents.
aus2012.f <- aus2012 %>%
filter(sex == 2)
frq(aus2012.f$sex)
##
## # Sex of Respondent (x) <numeric>
## # total N=876 valid N=876 mean=2.00 sd=0.00
##
## val label frq raw.prc valid.prc cum.prc
## 1 Male 0 0 0 0
## 2 Female 876 100 100 100
## NA NA 0 0 NA NA
When you select cases, you can specify multiple criteria. For example, the following code generates a dataset which includes male respondents who live in NSW (region == 1).
aus2012.m.nsw <- aus2012 %>%
filter(sex == 1, region == 1)
frq(aus2012.m.nsw$sex)
##
## # Sex of Respondent (x) <numeric>
## # total N=211 valid N=211 mean=1.00 sd=0.00
##
## val label frq raw.prc valid.prc cum.prc
## 1 Male 211 100 100 100
## 2 Female 0 0 0 100
## NA NA 0 0 NA NA
frq(aus2012.m.nsw$region)
##
## # Country specific region: Australia (x) <numeric>
## # total N=211 valid N=211 mean=1.00 sd=0.00
##
## val label frq raw.prc valid.prc cum.prc
## 1 New South Wales 211 100 100 100
## 2 Victoria 0 0 0 100
## 3 Queensland 0 0 0 100
## 4 South Australia 0 0 0 100
## 5 Western Australia 0 0 0 100
## 6 Tasmania 0 0 0 100
## 7 Australian Capital Territory 0 0 0 100
## 8 Northern Territory 0 0 0 100
## NA NA 0 0 NA NA
This time we will make a dataset which includes only variables of your choice. Suppose that we want to make a dataset which includes only variables measuring attitudes toward working mom in the 2012 AuSSa. The following code will do this job.
aus2012.working.mom <- aus2012 %>%
select("fechld", "fepresch", "famsuffr", "homekid", "housewrk")
aus2012.working.mom
## # A tibble: 1,612 x 5
## fechld fepresch famsuffr homekid housewrk
## <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 5 1 3 3 3
## 2 1 5 5 5 1
## 3 2 4 2 5 2
## 4 2 4 4 2 3
## 5 1 4 4 4 4
## 6 NA NA NA NA NA
## 7 2 4 4 4 2
## 8 4 3 2 5 4
## 9 2 4 4 4 4
## 10 2 3 2 5 1
## # ... with 1,602 more rows
There is only one difference in this code from what you used for selecting cases. ‘select(var1, var2, var3, …)
’ is the function for choosing variables of your choice. The third line shows the newly created dataset.
Based on the codes you have learned so far, let us make a frequency table of fechld for only male respondents. The following code will do this job.
aus2012 %>%
filter(sex == 1) %>%
select(fechld) %>%
frq()
##
## # Q1a Working mom: warm relationship with children as a not working mom (fechld) <numeric>
## # total N=699 valid N=683 mean=2.62 sd=1.14
##
## val label frq raw.prc valid.prc cum.prc
## 1 Strongly agree 89 12.73 13.03 13.03
## 2 Agree 313 44.78 45.83 58.86
## 3 Neither agree nor disagree 86 12.30 12.59 71.45
## 4 Disagree 157 22.46 22.99 94.44
## 5 Strongly disagree 38 5.44 5.56 100.00
## NA NA 16 2.29 NA NA
What this code does is 1) to use the aus2012 dataset, and then (%>%) 2) to select cases where respondents are males, and then 3) to choose the fechld variable, and then 4) to make a frequency table.
When you want to use ‘freq()
’ instead of ‘frq()
’ for making frequency tables, a different approach should be used since the summarytools package does not support labelled datasets. We need to use the dataset of male respondents that we created in the previous section. The code is:
freq(to_label(aus2012.m$fechld))
## Frequencies
##
## Freq % Valid % Valid Cum. % Total % Total Cum.
## -------------------------------- ------ --------- -------------- --------- --------------
## Strongly agree 89 13.03 13.03 12.73 12.73
## Agree 313 45.83 58.86 44.78 57.51
## Neither agree nor disagree 86 12.59 71.45 12.30 69.81
## Disagree 157 22.99 94.44 22.46 92.27
## Strongly disagree 38 5.56 100.00 5.44 97.71
## <NA> 16 2.29 100.00
## Total 699 100.00 100.00 100.00 100.00
The following code generates a frequency table of fechld for female respondents.
aus2012 %>%
filter(sex == 2) %>%
select(fechld) %>%
frq()
##
## # Q1a Working mom: warm relationship with children as a not working mom (fechld) <numeric>
## # total N=876 valid N=852 mean=2.11 sd=1.05
##
## val label frq raw.prc valid.prc cum.prc
## 1 Strongly agree 260 29.68 30.52 30.52
## 2 Agree 387 44.18 45.42 75.94
## 3 Neither agree nor disagree 77 8.79 9.04 84.98
## 4 Disagree 107 12.21 12.56 97.54
## 5 Strongly disagree 21 2.40 2.46 100.00
## NA NA 24 2.74 NA NA
freq(to_label(aus2012.f$fechld))
## Frequencies
##
## Freq % Valid % Valid Cum. % Total % Total Cum.
## -------------------------------- ------ --------- -------------- --------- --------------
## Strongly agree 260 30.52 30.52 29.68 29.68
## Agree 387 45.42 75.94 44.18 73.86
## Neither agree nor disagree 77 9.04 84.98 8.79 82.65
## Disagree 107 12.56 97.54 12.21 94.86
## Strongly disagree 21 2.46 100.00 2.40 97.26
## <NA> 24 2.74 100.00
## Total 876 100.00 100.00 100.00 100.00
The code for calculating descriptive statistics for sub-groups is similar to that for frequency tables. The only difference is to use ‘descr()
’ instead of ‘frq()
’. The following code computes descriptive statistics of age for male and female respondents, respectively.
aus2012 %>%
filter(sex == 1) %>%
select(age) %>%
descr()
## Descriptive Statistics
## aus2012$age
## N: 699
##
## age
## ----------------- --------
## Mean 55.22
## Std.Dev 16.30
## Min 18.00
## Q1 44.00
## Median 57.00
## Q3 66.00
## Max 93.00
## MAD 16.31
## IQR 22.00
## CV 0.30
## Skewness -0.24
## SE.Skewness 0.09
## Kurtosis -0.44
## N.Valid 691.00
## Pct.Valid 98.86
aus2012 %>%
filter(sex == 2) %>%
select(age) %>%
descr()
## Descriptive Statistics
## aus2012$age
## N: 876
##
## age
## ----------------- --------
## Mean 51.13
## Std.Dev 16.23
## Min 18.00
## Q1 39.00
## Median 52.00
## Q3 64.00
## Max 91.00
## MAD 17.79
## IQR 24.75
## CV 0.32
## Skewness -0.05
## SE.Skewness 0.08
## Kurtosis -0.68
## N.Valid 866.00
## Pct.Valid 98.86
In lab 5 we learned how to visualise the distribution of one variable. Building on this knowledge, this lab introduces how to visualise the distribution for multiple variables and sub-groups.
Suppose that we want to visualise all the variables of attitudes toward working moms so that we can easily compare the distributions. For doing this, we need to create a dataset consisting of all variables we want to visualise. We already made this dataset in the previous section, which is aus2012.working.mom. The following code visualises all the five variables of attitudes toward working moms.
sjp.stackfrq(aus2012.working.mom,
title = "Attitude toward working mom")
If you want to flip coordinates of stacked bar graphs, add ‘coord.flip = FALSE
’ to the option. In the following code, I also add ‘wrap.labels = 20
’ to avoid the overlap between labels.
sjp.stackfrq(aus2012.working.mom,
title = "Attitude toward working mom",
wrap.labels = 20, coord.flip = FALSE)
‘plot_likert()
’ is a function specifically designed for visualising Likert scales. Since all the variables of attitudes toward working moms use Likert scales, it would be better to visualise them using this function. The code is:
plot_likert(aus2012.working.mom,
cat.neutral = 3, title = "Attitude toward working mom")
You may notice that the neutral category (Neither agree nor disagree) is separated from other categories because it is not our primary focus. Thus, you always need to tell which is a neutral category using ‘cat.neutral
’ option.
This time we visualise the distribution of one variable but do it by different groups. Suppose that we want to compare the distribution of fechld between men and women. ‘sjp.xtab(grouping variable, the name of variable to be compared, bar.pos = “stack”)
’ make this job easier. The following code shows the grouped stacked bar graph of fechld by sex.
sjp.xtab(aus2012$sex, aus2012$fechld, bar.pos = "stack", show.total = FALSE,
margin = "row", coord.flip = TRUE, show.n = FALSE)
The margin option sets how percentages are calculated. ‘margin = “row”
’ computes the percentages of responses for each group.
When you want to make a boxplot of one variable, use ‘plot_frq(variable name, type = “box”)
’. The following code makes a boxplot of age in the aus2012 dataset.
plot_frq(aus2012$age, type = "box", axis.title = "Respondent's Age")
When you want to make the boxplot of one variable by different groups, use ‘sjpgrp.frq(the name of variable to be compared, grouping variable, type = “box”)
’. The following code creates the boxplots of age by sex.
sjp.grpfrq(aus2012$age, aus2012$sex, type = "box",
axis.title = "Respondent's Age", ylim = c(0, 100))
‘ylim = c(minimum value, maximum value)
’ sets the range of y-axis. As instructed, the y-axis ranges from 0 to 100.
Note
You may see a warning message saying “Package ‘snakecase’ needs to be installed for case-conversion” when you try to make a grouped boxplot. To fix this problem, run the following code.
install.packages("snakecase")
Or you may see a warning message saying “there is no pacakge called ‘quantreg’”. In this case run the following code.
install.packages("quantreg")
Then, restart RStudio, load all the packages again and make a grouped boxplot.
There is no simple code to generate the histograms of one variable by groups. Thus, we need to create datasets for each group and use them for visualisation. Suppose that we want to plot the histogram of age for male and female respondents, respectively. We use aus2012.m which includes only males and aus2012.f which includes only females that we constructed in the previous section. The following code generates these two histograms.
plot_frq(aus2012.m$age, type = "hist", title = "Distribution of Age for Males",
axis.title = "Age", grid.breaks = 10)
plot_frq(aus2012.f$age, type = "hist", title = "Distribution of Age for Females",
axis.title = "Age", grid.breaks = 10)
The lab assignment requires you to include relevant R outputs in your documents. This section introduces how to include them in an MS Word document.
When you want to include R outputs from the window of Console (e.g., frequency tables, descriptive statistics), select the output you want to include and then right-click. You will see the copy option. Choose it (See Figure 1).
Open MS Word and right-click. In the paste option, choose “Keep Source Formatting”.
Open MS Word and right-click. Choose “Paste”.
Then, select the copied R outputs. Choose a fixed-width font such as ‘Courier New’. If you want, decrease the size of fonts (optional). Set 1.0 for line spacing.
When you want to include R outputs from the window of Plots (all kinds of graphs), click Export at the top of the Plots window and choose “Copy to Clipboard” (See Figure 3).
In a popped-up window, click “Copy Plot” at the bottom. If you do not like the size of graphs, you can change it either by 1) specifying the width and height at the top (then click “Update Preview”) or 2) moving the bottom-right triangle while pressing down the right button of the mouse (See Figure 4).
Then, paste the graph into a MS Word document.
The R codes you have written so far look like:
################################################################################
# Week7: Univariate Analysis 2 & Normal Distribution
# 08/04/2019
# SOC830, SOCI702, SOCX830
################################################################################
# Load packages
library(dplyr)
library(sjlabelled)
library(sjmisc)
library(sjPlot)
library(summarytools)
# Import the 2012 AuSSa dataset.
aus2012 <-readRDS("aussa2012.rds")
# How to compute percentiles
## .10: 10%; .25: 25%; .50: 50%; .75: 75%; .90: 90%
## na.rm = TRUE : exclude missing values (NA)
quantile(aus2012$age, c(.10, .25, .50, .75, .90), na.rm = TRUE)
# Creating a dataset of a sub-group
aus2012.m <- aus2012 %>%
filter(sex == 1)
frq(aus2012.m$sex)
aus2012.f <- aus2012 %>%
filter(sex == 2)
frq(aus2012.f$sex)
aus2012.m.nsw <- aus2012 %>%
filter(sex == 1, region == 1)
frq(aus2012.m.nsw$sex)
frq(aus2012.m.nsw$region)
# Creating a dataset of specific variables
aus2012.working.mom <- aus2012 %>%
select("fechld", "fepresch", "famsuffr", "homekid", "housewrk")
aus2012.working.mom
# Frequency tables for sub-groups
aus2012 %>%
filter(sex == 1) %>%
select(fechld) %>%
frq() # for males
freq(to_label(aus2012.m$fechld))
aus2012 %>%
filter(sex == 2) %>%
select(fechld) %>%
frq()
freq(to_label(aus2012.f$fechld))
# Descriptive statistics for sub-groups
aus2012 %>%
filter(sex == 1) %>%
select(age) %>%
descr() # for males
aus2012 %>%
filter(sex == 2) %>%
select(age) %>%
descr() # for females
# Stacked bar graphs for multiple variables
sjp.stackfrq(aus2012.working.mom,
title = "Attitude toward working mom")
sjp.stackfrq(aus2012.working.mom,
title = "Attitude toward working mom",
wrap.labels = 20, coord.flip = FALSE)
# Stacked bar graphs for likert scale
plot_likert(aus2012.working.mom,
cat.neutral = 3, title = "Attitude toward working mom")
# Grouped stacked bar graphs
sjp.xtab(aus2012$sex, aus2012$fechld, bar.pos = "stack", show.total = FALSE,
margin = "row", coord.flip = TRUE, show.n = FALSE)
# Simple boxplots
plot_frq(aus2012$age, type = "box", axis.title = "Respondent's Age")
# Grouped boxplots
sjp.grpfrq(aus2012$age, aus2012$sex, type = "box",
axis.title = "Respondent's Age", ylim = c(0, 100))
# Histograms for different groups
plot_frq(aus2012.m$age, type = "hist", title = "Distribution of Age for Males",
axis.title = "Age", grid.breaks = 10)
plot_frq(aus2012.f$age, type = "hist", title = "Distribution of Age for Females",
axis.title = "Age", grid.breaks = 10)


STATION 1 of 7
Welcome to the primary station of the wellness trail. Find and scan the wellness-QR codes located around the building to learn more about the specific wellness related features of the SDE4.
Click on the trails tab on the top right to find their locations. Information about air and natural lighting are found in the library, under the staircase behind you.


Dash-Forecast
Dash-Forecast allows you to easily build forecasting dashboards.
Why Dash-Forecast
Judgment and decision making research shows that visual tools are an easy and effective way to boost forecasting accuracy. Dash-Forecast is a high-level API for creating beautiful forecasting visualizations and statistical summaries.
Installation
$ pip install dash-fcast
Quickstart
In just a few lines of code, we'll create an app that gives you:
- An intuitive 'bounds and moments' forecast elicitation
- An editable data table representation of the forecast
- Probability density function and cumulative distribution function line plots of the forecast
- A bar plot of the data table
Create a file app.py
:
import dash_fcast as fcast
import dash_fcast.distributions as dist
import dash
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objects as go
from dash.dependencies import Input, Output
app = dash.Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])
app.layout = html.Div([
html.Br(),
dist.Moments(id='Forecast'),
html.Br(),
fcast.Table(
id='Table',
datatable={'editable': True, 'row_deletable': True},
row_addable=True
),
html.Div(id='graphs')
], className='container')
dist.Moments.register_callbacks(app)
fcast.Table.register_callbacks(app)
@app.callback(
Output('graphs', 'children'),
[
Input(dist.Moments.get_id('Forecast'), 'children'),
Input(fcast.Table.get_id('Table'), 'children')
]
)
def update_graphs(dist_state, table_state):
distribution = dist.Moments.load(dist_state)
table = fcast.Table.load(table_state)
pdf = go.Figure([distribution.pdf_plot(), table.bar_plot('Forecast')])
pdf.update_layout(transition_duration=500, title='PDF')
cdf = go.Figure([distribution.cdf_plot()])
cdf.update_layout(transition_duration=500, title='CDF')
return [dcc.Graph(figure=pdf), dcc.Graph(figure=cdf)]
if __name__ == '__main__':
app.run_server(debug=True)
Run your application with:
$ python app.py
Open your browser and navigate to http://localhost:8050/.
Citation
@software{bowen2020dash-fcast,
author = {Dillon Bowen},
title = {Dash-Forecast},
url = {https://dsbowen.github.io/dash-fcast/},
date = {2020-09-11},
}
License
Users must cite this package in any publications which use it.
It is licensed with the MIT License.
Acknowledgements
The following collaborators deserve special acknowledgement:
- David Melgin, for the bounds and moments elicitation
- Ezra Karger, whose non-parametric elicitation methods helped inspire my 'tabular elicitation'
- Sarah Reed, for feedback on the front-end design
I would also like to thank the Tetlock Lab, whose weekly presentations inspired various aspects of this package, including Zachary Jacobs' and Ian Lustick's 'first approximation algorithm', Scott Page's multi-model thinking, and Annie Duke's presentation on intuitively eliciting predictions.


When asking a question (verbally, in the google+ community, stack overflow etc.) it is important to first establish what you already know. In the most concise way possible, explain the understanding you have of the material and maybe give an example of the code you know. Next locate the gap in your understanding. I've found that it is better to phrase this as a specific question rather than something more general. "How can I loop through this array and add one to each integer?" will generate a much more constructive response than "I dont understand looping, can you help me?". It is most helpful to have an example to look at rather than speaking in general. I've experienced this a lot during pairing sessions and it is evident to me that questions are most helpful and constructive when they refrence an example.
The questions that did not get answered were the most general ones. In the first few weeks, feeling very overwhlemed with the new material, I tended to ask very general questions and wouldn't learn much from them. It was hard for people to help me when i couldnt identify my problem. I had the most constuctive conversations with people when i was able to refrence something specific or ask a question about an example that we could both look at. I learned the most working hands on with problems rather than having general conversations with people.
The more specific someone can be in formualting a question the better. It easier to give a more detailed and helpful response if the question isnt as open ended. Examples are useful and are helpful for making refrences and explaining processes.


Embedded Artistry Framework
Embedded Systems C++ Framework
src
platforms
fwdemo
fwdemo_sim
platform.cpp File Reference
#include "
platform.hpp
"
Include dependency graph for platform.cpp:
Generated by
1.8.15


|
QuantLib: a free/open-source library for quantitative finance
Fully annotated sources - version 1.30
|
Modules | |
| Calendars | |
| Day counters | |
Classes | |
| class | DateInterval |
| Date interval described by a number of a given time unit. More... | |
| class | PricingPeriod |
| Time pricingperiod described by a number of a given time unit. More... | |
| class | Calendar |
| calendar class More... | |
| class | Date |
| Concrete date class. More... | |
| struct | DateGeneration |
| Date-generation rule. More... | |
| class | DayCounter |
| day counter class More... | |
| class | Period |
| class | Schedule |
| Payment schedule. More... | |
Typedefs | |
| typedef Integer | Day |
| Day number. More... | |
| typedef Integer | Year |
| Year number. More... | |
Enumerations | |
| enum | BusinessDayConvention { Following , ModifiedFollowing , Preceding , ModifiedPreceding , Unadjusted , HalfMonthModifiedFollowing , Nearest } |
| Business Day conventions. More... | |
| enum | Month { January = 1 , February = 2 , March = 3 , April = 4 , May = 5 , June = 6 , July = 7 , August = 8 , September = 9 , October = 10 , November = 11 , December = 12 , Jan = 1 , Feb = 2 , Mar = 3 , Apr = 4 , Jun = 6 , Jul = 7 , Aug = 8 , Sep = 9 , Oct = 10 , Nov = 11 , Dec = 12 } |
| Month names. More... | |
| enum | Frequency { NoFrequency = -1 , Once = 0 , Annual = 1 , Semiannual = 2 , EveryFourthMonth = 3 , Quarterly = 4 , Bimonthly = 6 , Monthly = 12 , EveryFourthWeek = 13 , Biweekly = 26 , Weekly = 52 , Daily = 365 , OtherFrequency = 999 } |
| Frequency of events. More... | |
| enum | TimeUnit { Days , Weeks , Months , Years , Hours , Minutes , Seconds , Milliseconds , Microseconds } |
| Units used to describe time periods. More... | |
| enum | Weekday { Sunday = 1 , Monday = 2 , Tuesday = 3 , Wednesday = 4 , Thursday = 5 , Friday = 6 , Saturday = 7 , Sun = 1 , Mon = 2 , Tue = 3 , Wed = 4 , Thu = 5 , Fri = 6 , Sat = 7 } |
The concrete class QuantLib::Date
implements the concept of date. Its functionalities include:
Business Day conventions.
These conventions specify the algorithm used to adjust a date in case it is not a valid business day.
Definition at line 41 of file businessdayconvention.hpp.
| enum Month |
| enum Frequency |
Frequency of events.
Definition at line 37 of file frequency.hpp.
| enum TimeUnit |
Units used to describe time periods.
| Enumerator | |
|---|---|
| Days | |
| Weeks | |
| Months | |
| Years | |
| Hours | |
| Minutes | |
| Seconds | |
| Milliseconds | |
| Microseconds |
Definition at line 37 of file timeunit.hpp.
| enum Weekday |
Day's serial number MOD 7; WEEKDAY Excel function is the same except for Sunday = 7.
| Enumerator | |
|---|---|
| Sunday | |
| Monday | |
| Tuesday | |
| Wednesday | |
| Thursday | |
| Friday | |
| Saturday | |
| Sun | |
| Mon | |
| Tue | |
| Wed | |
| Thu | |
| Fri | |
| Sat |
Definition at line 41 of file weekday.hpp.


GitHub App Permissions
- Metadata permissions
- Permission on "administration"
- Permission on "checks"
- Permission on "contents"
- Permission on "deployments"
- Permission on "emails"
- Permission on "followers"
- Permission on "gpg keys"
- Permission on "issues"
- Permission on "keys"
- Permission on "members"
- Permission on "organization administration"
- Permission on "organization hooks"
- Permission on "organization pre receive hooks"
- Permission on "organization projects"
- Permission on "pages"
- Permission on "pull requests"
- Permission on "repository hooks"
- Permission on "repository pre receive hooks"
- Permission on "repository projects"
- Permission on "single file"
- Permission on "starring"
- Permission on "statuses"
- Permission on "team discussions"
Note: To access the API with your GitHub App, you must provide a custom media type in the Accept
Header for your requests.
application/vnd.github.machine-man-preview+json
Warning: The API may change without advance notice during the preview period. Preview features are not supported for production use. If you experience any issues, contact your GitHub Enterprise site administrator.
GitHub Apps are created with a set of permissions. These define what resources the GitHub App can access via the API. For more information, see "Permissions for GitHub Apps."
Metadata permissions
GitHub Apps have the Read-only
metadata permission by default. The metadata permission provides access to a collection of read-only endpoints with metadata for various resources. These endpoints do not leak sensitive private repository information.
If you set the metadata permission to No access
and select a permission that requires repository access, GitHub will override your selection and set the metadata permission back to Read-only
. Setting all permissions that require repository access back to No access
will allow you to set the metadata permission to No access
.
 For more information, see "List issues assigned to the authenticated user." If your GitHub App has permissions on issues but not on pull requests, these endpoints will be limited to issues. Endpoints that return both issues and pull requests will be filtered. Endpoints that allow operations on both issues and pull requests will be restricted to issues.
 If your GitHub App has permissions on pull requests but not on issues, these endpoints will be limited to pull requests. Endpoints that return both pull requests and issues will be filtered. Endpoints that allow operations on both pull requests and issues will be restricted to pull requests.


| Interface | Description |
|---|---|
| GlyphDescription |
Specifies access to glyph description classes, simple and composite.
|
| Class | Description |
|---|---|
| CIDFontType2Parser | |
| CMAPEncodingEntry |
An encoding entry for a cmap.
|
| CMAPTable |
The CMAP table of a true type font.
|
| DigitalSignatureTable |
A table in a true type font.
|
| GlyfCompositeComp |
This class is based on code from Apache Batik a subproject of Apache XMLGraphics.
|
| GlyfCompositeDescript |
Glyph description for composite glyphs.
|
| GlyfDescript |
This class is based on code from Apache Batik a subproject of Apache XMLGraphics.
|
| GlyfSimpleDescript |
This class is based on code from Apache Batik a subproject of Apache XMLGraphics.
|
| Glyph2D |
This class provides a glyph to GeneralPath conversion.
|
| GlyphData |
A glyph data record in the glyf table.
|
| GlyphTable |
A table in a true type font.
|
| HeaderTable |
A table in a true type font.
|
| HorizontalHeaderTable |
A table in a true type font.
|
| HorizontalMetricsTable |
A table in a true type font.
|
| IndexToLocationTable |
A table in a true type font.
|
| MaximumProfileTable |
A table in a true type font.
|
| MemoryTTFDataStream |
An interface into a data stream.
|
| NameRecord |
A name record in the name table.
|
| NamingTable |
A table in a true type font.
|
| OS2WindowsMetricsTable |
A table in a true type font.
|
| PostScriptTable |
A table in a true type font.
|
| TrueTypeFont |
A class to hold true type font information.
|
| TTFDataStream |
An interface into a data stream.
|
| TTFParser |
A true type font file parser.
|
| TTFSubFont |
A font, which is comprised of a subset of characters of a TrueType font.
|
| TTFTable |
A table in a true type font.
|


- Look for the good in others and they'll see the good of you.
- Look for the good in others and they'll see the good of you.
- Look for the good in others and they'll see the good of you.
- Look for the good in others and they'll see the good of you.
- Look for the good in others and they'll see the good of you.
- Look for the good in others and they'll see the good of you.
- Look for the good in others and they'll see the good of you.
- Look for the good in others and they'll see the good of you.
- Look for the good in others and they'll see the good of you.


Alert type
Text to speech
Notification
Speak (if TTS is enabled)
Status
Status + Points + Time
Save
By
Rishi Raj
·
Source code


Software Development Life Cycle (SDLC) in GIFs
by Nhori Lopchan Tamang
What do I do?
Gathering Requirements & Specs
Design
Development
When coming up with good variables name becomes my number one STRUGGLE.
Ninja-fixing a bug 10 minutes before the demo for client
Working on your code for hours and you finally have time for some interaction
Debugging for hours just to find you're missing right parenthesis
Quality Assurance (QA)
Release/Deploying to Production
#NEEDS
Maintainance
DONE! Ship it!!


Once you get it working, bookmark this link to come back to this page with all the settings in place just as they are now.
Good page for finding US postage price
Fork me on GitHub


--- layout: post title: Counting objects with OpenCV using Edge detection, Thresholding, and Contours detection (2/17) date: 2019-01-22 13:55:41.000000000 +05:30 type: post parent_id: '0' published: true password: '' status: publish tags: [Daily Logs, Projects] meta: timeline_notification: '1548145545' _publicize_job_id: '26797028832' author: login: priyankasaggu119 email<EMAIL_ADDRESS>display_name: priyankasaggu119 first_name: '' last_name: '' permalink: "/2019/01/22/counting-objects-with-opencv-using-edge-detection-thresholding-and-contours-detection-2-17/" ---
January 22, 2019
This is Project #2 in series of 17. Started with a quick refresher in OpenCV basics, I have covered:
You can find the source code to all the above-mentioned processes here. And see the image below to check how the output of each one of them looks like.
Now, the next part of the project is "Counting the no. of objects in an image". For now, it is limited to images with white background.
So, to prepare an image for the above use-case, we are required to undergo the following steps:
And after each of the above step, respectively, the image would look something like (considering an "example-input image", for instance):
And the final output, be like:
Have a glance at the source-code for the above use-case here.
That's all for this project.
Till next time! o/
Resources:


Privacy Policy
Welcome to Lucky Brand’s free Wi-Fi Service. Please provide the requested information to use the Wi-Fi Service. In addition to the requested information, you agree that Lucky Brand may collect other information about you, such as information about your wireless device (e.g., device type, MAC Address, IP Address), the location of the store in which you are accessing Lucky Brand's free Wi-Fi Service, and the websites you visit to better understand your experience with Lucky Brand and to improve our services and advertising. You consent to this collection, and you further agree that we can use your information as provided in our Privacy Policy below.


Coders Quiz Application
Good anwers:
0
Yes! You WIN!
No! You LOSE!
Call to friend
50 / 50
Question to the crowed


Internal convenience method to return a ParserResult error.
-
-
Parse a number consuming one or more tokens.
Unparsed tokens.
A configuration object.
an object with a ParsedArgument and the remaining tokens.
Extract a string only if listed in the accepted array. Optionally the match can be case sensitive.
Unparsed tokens.
an object with a ParsedArgument and the remaining tokens.
Consumes all the remaining tokens and return them into a space-normalized string.
Unparsed tokens.
an object with a ParsedArgument and the remaining tokens.
Internal convenience method to return a ParserResult object.
-
-
-
Consume a token extracting a string.
Unparsed tokens.
an object with a ParsedArgument and the remaining tokens.
Generated using TypeDoc
This class provide common argument parser logic.


Matthew Speiser is a new full-stack web developer with a passion for programming. A Los Angeles local, born in Santa Monica, he has been on the computer since adolescence. He is a quick learner and is excellent at following direction. Since a young age he has always been curious and shown the need to be creative. However, his technical and logical skills were not developed properly throughout puberty; battling Tourette Syndrome while taking medication.
Fast forwarding to today, he is brighter, and more stable than ever. No longer on standard perscription medication he is a user, not abuser, of medical cannabis. Although unable to finish college due to unfortunate family circumstances, he found ways to keep learning. A certified Mac user and certified integration user, he excels working with the Mac platform and terminal. He can fix screens, replace keyboards, replace hard drives, and all other types of general computer repair/upgrades
Matthew's computer coding journery started in 2015. He had always thought about coding, but never thought he would be smart enough to understand it. He tried some free online courses at codeacademy.com and eventually finished multiple courses. After completing the courses he browsed youtube videos and would teach himself the basics of how to set up basic html and css pages. Once he started to get the hang of basic html and css, he was hooked
Currently employed full-time in an customer service position, Matthew codes every single day once he gets home. He has completed "The Web Developer Bootcamp" and "The Complete Web Developer Course 2.0" on Udemy.com. Furthermore, he has been taking other courses online to satisfy his craving for development knowledge. He has an excellent understanding of all web system technologies and how they fit together. He is not in a top tier of programmers yet, but he can figure out working solutions in Javascript, Nodejs, PHP, and other languages
As far as Matthew knows he will continue to code everyday, improve, learn, and create.


Test 1
Test 2
Insects vs Flowers
For
Insects
and for
words pleasant in meaning
, mark in the circle to the left. For everything else (
flowers
and
unpleasant-meaning words
) mark in the circle to the right. Start at top left, go from top to bottom doing all items in order.
Orchid
Gentle
Rose
Heaven
Flea
Damage
Daffodil
Cheer
Centipede
Vomit
Gnat
Hurt
Lilac
Love
Tulip
Enjoy
Wasp
Poison
Roach
Evil
Daisy
Gloom
Moth
Ugly
Weevil
Happy
Lily
Friend


|
Atelier Morales´s photographs are printed on canvas and then intervened with painting.
Nuclear catastrophes, the responsible countries and their dramatic impact on the whole world, are their subject matter.
The images show the sumptuous interiors of the offices of the Head of States, these being places where nuclear policy is decided.
Each office shows a view to a nuclear plant.
|


--- layout: pre-30-archived-docs/side-by-side title: Custom Equality test-source: src/custom_equality.js ---
custom_equality.js |
|
|---|---|
Custom Equality Testers |
describe("custom equality", function() {
|
|
You can customize how jasmine determines if two objects are equal by defining your own custom equality testers. A custom equality tester is a function that takes two arguments. |
var myCustomEquality = function(first, second) {
|
|
If the custom equality tester knows how to compare the two items, it should return either true or false |
if (typeof first == "string" && typeof second == "string") {
return first[0] == second[1];
}
|
|
Otherwise, it should return undefined, to tell jasmine's equality tester that it can't compare the items |
};
|
|
Then you register your tester in a |
beforeEach(function() {
jasmine.addCustomEqualityTester(myCustomEquality);
});
|
|
Then when you do comparisons in a spec, custom equality testers will be checked first before the default equality logic. |
it("should be custom equal", function() {
expect("abc").toEqual("aaa");
});
|
|
If your custom tester returns false, no other equality checking will be done. |
it("should be custom not equal", function() {
expect("abc").not.toEqual("abc");
});
});
|


+++
title = "Veladocs"
linkTitle = "Veladocs"
+++
{{< blocks/cover title="Welcome to Vela!" image_anchor="bottom" height="min" width="primary">}}
{{< /blocks/cover >}}
{{% blocks/lead color="secondary" %}}
Vela is a Pipeline Automation (CI/CD) framework built on Linux container technology written in Golang.
{{% /blocks/lead %}}
{{< blocks/section color="primary" >}}
{{% blocks/feature icon="fa-blog" title="Target Engineering Blog!" url="https://tech.target.com/" %}}
Hear more about other products and Target Engineering on our blog!
Follow this space for Vela updates!
{{% /blocks/feature %}}
{{% blocks/feature icon="fab fa-github" title="Contributions welcome!" url="https://github.com/go-vela" %}}
Learn more about getting started in our [community](https://github.com/go-vela/community)!
{{% /blocks/feature %}}
{{% blocks/feature icon="fab fa-slack" title="Join us on Slack!" url="https://gophers.slack.com/app_redirect?channel=CNRRKE8KY" %}}
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WITNESS LIST Finance Committee February 15, 2005 - 8:00A SB 1 - Article III - Available University Funds ON: Boldt, Bob President (UTIMCO), Austin, TX SB 1 - Article III - Education ON: Owens, Greg LBB Staff (LBB), Austin, TX Wielmaker, John LBB Staff (LBB), Austin, TX SB 1 - Article III - Higher Education Coordinating Board ON: Flack, Teri Higher Education Coordinating Board (Higher Education Coordinating Board), Austin, TX Goertz, Roland Physician (Texas Academy of Family Physicians/ Primary Care Coalition, TMA), Waco, TX Greene, Deborah Educational Adminstrator (Higher Education Coordinating Board), Austin, TX McDonald, Carol Association Executive (Independent Colleges and UT, Inc), Austin, TX Paredes, Raymund Commissioner of Higher Education (Higher Education Coordinating Board), Austin, TX Starck, Pat Dean, School of Nursing (UT Health Science Center at Houston), Houston, TX Zucker, Charles Executive Director (Texas Faculty Association), Austin, TX SB 1 - Article III - Prairie View A&M University ON: Williams, Dan Chief Financial Officer (Prairie View A&M University), San Antonio, TX SB 1 - Article III - Texas A&M University - Kingsville ON: Crandar, Steven Vice President Finance and Admninistration (Texas A&M University - Kingsville), Kingsville, TX SB 1 - Article III - Texas A&M University System ON: Anderson, Greg Treasurer - TAMUS (Texas A&M University System), College Station, TX Calvert, Stanton Education (Texas A&M University System), Austin, TX McTeer, Robert Chacellor, Texas A&M University System (Texas A&M University System), Dallas, TX SB 1 - Article III - Texas Southern University ON: Giovannini, Regina Board of Regents (Texas Southern University), Houston, TX Regent, David Attorney (Texas Southern University), Corpus Christi, TX Slade, Priscilla University President (Texas Southern University), Houston, TX SB 1 - Article III - University of North Texas System ON: Diebel, Phil Vice Chancellor for Finance (UNT System), Denton, TX Jackson, Lee University of North Texas System (UNT System), Dallas, TX Pohl, Norvai President - UNT (UNT Texas System), Denton, TX SB 1 - Article III - University of Texas at Austin ON: Aldridge, Philip Associate Vice Chancellor for Finance (UT System), Austin, TX Wallace, Randy Associate Vice Chancellor - Controller (UT at Austin), Austin, TX Yude, Mark Chancellor (UT at Austin), Austin, TX SB 1 - Article III - University ofTexas System ON: Huffines, James Chairman (UT System Board of Regents), Austin, TX SB 1 - Article III - Tarleton State University Registering, but not testifying: On: Graham, Jerry Vice President for Finance and Administration (Tarleton State University), Eastland, TX Idoux, John University Administration (Tarleton State University), Eastland, TX SB 1 - Article III - Texas A&M International University On: Keck, Ray President (Texas A&M International University), Laredo, TX SB 1 - Article III - Texas A&M University - Corpus Christi On: Funk-Bamer, Kathy Interium Vice President for Finance (Texas A&M University - Corpus Christi), Corpus Christi, TX Killebrew, Flavius President (Texas A&M University - Corpus Christi), Corpus Christi, TX SB 1 - Article III - Texas A&M University - Kingsville On: Juarez, Rumaldo President (Texas A&M University - Kingsville), Kingsville, TX Reddy, Indra Professor and Dean - Pharmacy College (Texas A&M University - Kingsville), Corpus Christi, TX SB 1 - Article III - Texas A&M University System On: Crain, B.J. Associate Vice Chancellor (Texas A&M University System), College Station, TX Kale, Tom Vice Chancellor for Business Services (Texas A&M University System), College Station, TX SB 1 - Article III - Texas Southern University On: Thomas, Gayla SR Vice President for Enrollment and Planning (Texas Southern University), Houston, TX Wiggins, Quintin Senior VP for Finance (Texas Southern University), Missouri, TX SB 1 - Article III - University of Texas - Brownsville On: Zavaleta, Antonio UT - Brownsvill VP (UT - Brownsville), Brownsville, TX SB 1 - Article III - University of Texas at Austin On: Faulkner, Larry President, UT at Austin (UT at Austin), Austin, TX


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AWS::SageMaker::NotebookInstance
The AWS::SageMaker::NotebookInstance
resource Creates an Amazon SageMaker
notebook instance. A notebook instance is a machine learning (ML) compute instance
running
on a Jupyter notebook. For more information, see Using Notebook Instances in
the Amazon SageMaker Developer Guide.
Topics
Syntax
To declare this entity in your AWS CloudFormation template, use the following syntax:
JSON
{ "Type" : "AWS::SageMaker::NotebookInstance", "Properties" : { "DirectInternetAccess" :
String
, "InstanceType" :String
, "KmsKeyId" :String
, "LifecycleConfigName" :String
, "NotebookInstanceName" :String
, "RoleArn" :String
, "SecurityGroupIds" : [String
, ... ], "SubnetId" :String
, "Tags" : [ Tag, ... ], "VolumeSizeInGB" :Integer
} }
YAML
Type: "AWS::SageMaker::NotebookInstance" Properties: DirectInternetAccess:
String
InstanceType:String
KmsKeyId:String
LifecycleConfigName:String
NotebookInstanceName:String
RoleArn:String
SecurityGroupIds: -String
SubnetId:String
Tags: - Tag VolumeSizeInGB:Integer
Properties
DirectInternetAccess
-
Sets whether Amazon SageMaker provides internet access to the notebook instance. If you set this to Disabled this notebook instance will be able to access resources only in your VPC, and will not be able to connect to Amazon SageMaker training and endpoint services unless your configure a NAT Gateway in your VPC. For more information, see Notebook Instances Are Enabled with Internet Access by Default. You can set the value of this parameter to Disabled only if you set a value for the SubnetId parameter.
Required: No
Type: String
Update requires: Replacement
InstanceType
-
The type of ML compute instance to launch for the notebook instance.
Required: Yes
Type: String
Update requires: No interruption
KmsKeyId
-
If you provide a AWS KMS key ID, Amazon SageMaker uses it to encrypt data at rest on the ML storage volume that is attached to your notebook instance.
Required: No
Type: String
Update requires: Replacement
LifecycleConfigName
-
The name of a lifecycle configuration to associate with the notebook instance. For information about lifestyle configurations, see Customize a Notebook Instance in the Amazon SageMaker Developer Guide.
Required: No
Type: String
Update requires: No interruption
NotebookInstanceName
-
The name of the notebook instance.
Required: No
Type: String
Update requires: Replacement
RoleArn
-
When you send any requests to AWS resources from the notebook instance, Amazon SageMaker assumes this role to perform tasks on your behalf. You must grant this role necessary permissions so Amazon SageMaker can perform these tasks. The policy must allow the Amazon SageMaker service principal (sagemaker.amazonaws.com) permissions to assume this role. For more information, see Amazon SageMaker Roles.
Required: Yes
Type:
Update requires: No interruption
SecurityGroupIds
-
The VPC security group IDs, in the form sg-xxxxxxxx. The security groups must be for the same VPC as specified in the subnet.
Required: No
Type: List of Strings
Update requires: Replacement
SubnetId
-
The ID of the subnet in a VPC to which you would like to have a connectivity from your ML compute instance.
Required: No
Type: String
Update requires: Replacement
Tags
-
A list of tags to associate with the notebook instance.
Required: No
Type: List of Resource Tag
Update requires: No interruption
VolumeSizeInGB
-
The size in GB of the persisted machine learning storage volume that is provisioned and attached to the Amazon SageMaker notebook instance.
Required: No
Type: Integer
Update requires: No interruption
Return Values
Ref
When you pass the logical ID of an AWS::SageMaker::NotebookInstance
resource to the intrinsic Ref
function, the function returns the Amazon
Resource Name (ARN) of the notebook instance, such as
arn:aws:sagemaker:us-west-2:012345678901:notebook-instance/mynotebookinstance
.
For more information about using the Ref
function, see Ref.
Fn::GetAtt
Fn::GetAtt
returns a value for a specified attribute of this type. The
following are the available attributes and sample return values.
NotebookInstanceName
-
The name of the notebook instance, such as
MyNotebookInstance
.
For more information about using Fn::GetAtt
, see Fn::GetAtt.
Examples
SageMaker Notebook Instance Example
The following example creates a notebook instance.
JSON
{ "Description": "Basic NotebookInstance test update to a different instance type", "Resources": { "BasicNotebookInstance": { "Type": "AWS::SageMaker::NotebookInstance", "Properties": { "InstanceType": "ml.t2.large", "RoleArn": { "Fn::GetAtt" : [ "ExecutionRole", "Arn" ] } } }, "ExecutionRole": { "Type": "AWS::IAM::Role", "Properties": { "AssumeRolePolicyDocument": { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Principal": { "Service": [ "sagemaker.amazonaws.com" ] }, "Action": [ "sts:AssumeRole" ] } ] }, "Path": "/", "Policies": [ { "PolicyName": "root", "PolicyDocument": { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": "*", "Resource": "*" } ] } } ] } } }, "Outputs": { "BasicNotebookInstanceId": { "Value": { "Ref" : "BasicNotebookInstance" } } }, }
YAML
Description: "Basic NotebookInstance test update to a different instance type" Resources: BasicNotebookInstance: Type: "AWS::SageMaker::NotebookInstance" Properties: InstanceType: "ml.t2.large" RoleArn: !GetAtt ExecutionRole.Arn ExecutionRole: Type: "AWS::IAM::Role" Properties: AssumeRolePolicyDocument: Version: "2012-10-17" Statement: - Effect: "Allow" Principal: Service: - "sagemaker.amazonaws.com" Action: - "sts:AssumeRole" Path: "/" Policies: - PolicyName: "root" PolicyDocument: Version: "2012-10-17" Statement: - Effect: "Allow" Action: "*" Resource: "*" Outputs: BasicNotebookInstanceId: Value: !Ref BasicNotebookInstance