FAIR GAME A film review by Andrew Hicks Copyright 1996 Andrew Hicks / Fatboy Productions
(1995) * (out of four)
This is the movie that could single-handedly bring "Mystery Science Theater 3000" out of cancellation. It's one of those movies that's so bad it's absolutely hilarious, due in no small part to its big star, supermodel Cindy Crawford. If you only remember one thing about FAIR GAME, it should be that it singlehandedly proves Crawford should stick to the Sports Illustrated swimsuit issues.  Ireland would win handfuls of Oscars if this was her only competition.
In a real casting coup, Crawford plays a super-intelligent lawyer (in a jogging bra, of course). We all know this is a stretch, the only legal opinion Crawford has ever put forth being that she favors the death penalty for anyone who wears white after Labor Day. Nonetheless, someone out there thought she'd make a good lawyer, but we're reminded of her true function in the movie when she takes two showers in a period of twenty minutes.  Come to think of it, that may have been a body double. Cindy Crawford isn't black, is she?
Like I said, Crawford is a lawyer with a bunch of Russians after her. Billy Baldwin (or is it Stephen? Alec? Adam? Kim Basinger?) is the police detective who has to save her life, time after time, chase after chase, explosion after explosion. There's absolutely nothing original about this movie. It's every cop show of the 70's mixed with every action thriller of the 80's and every technology- exploitation movie of the 90's. Three decades of crap all in one place, driven further into the ground by Crawford's complete lack of acting talent. And it's all completely predictable.
The plot isn't really explained until the end. All we know is these Russians have every detail about Crawford in their computer. In the words of one of the villains, "We even know what size pantyhose she wears." (Yeah, you and every 14-year-old boy in America.) He goes on to add, "We know more about her than she does." (_That_ I find very easy to believe.)
It all adds up to a really terrible movie that made me laugh in plenty of places I wasn't supposed to and grimace in places I was supposed to laugh. One more thing FAIR GAME has against it is some awful comic relief.  I wouldn't, but not because I'm a computer nerd. It's just not funny.
I'll leave you with the final line of dialogue in the movie. The boat with all the Russians has just blown up and Baldwin and Crawford are floating on a life raft. Crawford says woodenly, "That was my client's boat you just blew up. I'm filing a lawsuit against you. You're in big trouble," or something to that effect, and Baldwin replies smugly, "What do I have to do to get out of it?" They of course begin making out and the credits roll.  but I will tell you that, if anyone ever suggests you watch FAIR GAME with him or her, you quote the final line of the movie to that person: "What do I have to do to get out of it?"
--
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Horner: Relief after Red Bull exit key to Gasly Formula 1 form
by Jonathan NoblePierre Gasly's strong form in Formula 1 has been triggered by the "relief" of escaping the intense pressure during his time at Red Bull, reckons his former boss Christian Horner.
Gasly scored the first podium finish of his F1 career with second place behind Max Verstappen in the Brazilian Grand Prix, Toro Rosso's third podium in F1.
The podium comes during a season where he was dropped by Red Bull over the summer break and moved to Toro Rosso, replaced by F1 rookie Alex Albon.
Red Bull team boss Christian Horner says Gasly's approach after being moved, and the way he felt liberated when some of the pressure on him fell away.
"I think the way he embraced the change, he had two choices," said Horner, when asked by Autosport about the reasons for Gasly's turnaround with Toro Rosso.
"He could either have got depressed about it, or be grateful for the fact that he was still involved in Formula 1 and that Red Bull still believed in him.
"I think he embraced it rather than got dejected by it.
"And I think there was almost a slight relief as well because obviously the pressure only mounts [in F1], and he came into the season after two crashes [in testing].
"Then, there were some really tough races for him and you guys [the media] don't cut much slack either.
"So the pressure only builds, and I think it was the right thing to remove him from that pressure.
"It's been good to see him really find his confidence at Toro Rosso."
- Gasly's Brazil breakthrough
- Hamilton, Verstappen praise "incredible" Gasly
- What Gasly can learn from his superb response to demotion
Although Red Bull felt that Gasly needed to be moved away from the main team, Horner has not ruled out him being picked again in the future if he continues to show good form.
"If we didn't believe he was a candidate for us we would have released him from the contract," said Horner.
"But obviously we still believe in his talents and that's why we retained him within the group."


public final class CloudGameRepository
extends GameRepository
Cloud game repositories provide access to game resources stored on game
repository servers on the web, while continuing to work while the user is
offline through aggressive caching based on the immutability + versioning
scheme provided by the repository servers.
Essentially, each game has a version number stored in the game metadata
file. Game resources are immutable until this version number changes, at
which point the game needs to be reloaded. Version numbers are passed along
and stored in the match descriptions, and repository servers will continue
to serve old versions when specifically requested, so it is valid to use any
historical game version when generating a match -- this is why we don't need
to worry about our offline cache becoming stale/invalid. However, to stay up
to date with the latest bugfixes, etc, we aggressively refresh the cache any
time we can connect to the repository server, as a matter of policy.
Cached games are stored locally, in a directory managed by this class. These
files are compressed, to decrease their footprint on the local disk. GGP Base
has its SVN rules set up so that these caches are ignored by SVN.
- Author:
- Sam


TL; DR:
curl -O https://gist.githubusercontent.com/nfroidure/720e83d6796a7c276f69ec8ad27fd7e9/raw/0bb69bbb8e8d97dd31f5b9dc3655fd6407910480/docker-compose.yml
docker-compose up
Innovation is often driven by data. Through my various professional experience, I naturally went to use message queuing and then streams processing.
I first used Kinesis for its ease of use but it do not support topics and it is not open-source with is not good to stay cloud agnostic so I decided to switch to Kafka for my new position at DiagRAMS.
The thing is that there is no official Kafka docker image which lead to a lack of documentation on how to use it. This article may help you to spend less time on it than I had to.
If you like using docker-compose
for your developer
environment, here is the recipe.
I choose to use the Bitnami images (feel free to share yours!) since no official one exists at the time of this writing.
I also explicitly declare the network options for two main reasons:
KAFKA_ADVERTISED_LISTENERS
environment variable.
Here is the result:
You can add more brokers if you wish thought is it not generally useful for development. Just beware that you will have to tweak the various environment variables.
Kafdrop can be directly added to the docker-compose file but I prefer not doing so to keep the development environment lighter.
It also allows to selectively run Kafdrop for both local and production environments.
So let's run Kafdrop once we need it with that simple command:
docker run --rm -p 9000:9000 \ -e KAFKA_BROKERCONNECT="<IP_ADDRESS>:9092" \ -e JVM_OPTS="-Xms32M -Xmx256M" --network myapp \ -e SERVER_SERVLET_CONTEXTPATH="/" \ obsidiandynamics/kafdrop:latest
Note that --network myapp
allows Kafdrop to
live in the same network than our Kafka brokers.
Here is the command for production were you will probably need to add the SSL configuration like this:
docker run --rm -p 9000:9000 \ -e KAFKA_BROKERCONNECT=$(node -e "process.stdout.write($(terraform output kafka_bootstrap_brokers))") \ -e JVM_OPTS="-Xms128M -Xmx2G" -e KAFKA_PROPERTIES=$(echo security.protocol=SSL | base64) \ -e SERVER_SERVLET_CONTEXTPATH="/" \ obsidiandynamics/kafdrop:latest
As you can see, I directly retrieve the Kafka brokers via my Terraform states, feel free to do so or simply add it by hands.
By reading the Kafka docs, you will probably be prompted to use the scripts embedded by Kafka, here is, for example, how you would create a topic with the above setup:
docker-compose exec kafka /opt/bitnami/kafka/bin/kafka-topics.sh \ --create \ --bootstrap-server localhost:9092 \ --replication-factor 1 \ --partitions 1 \ --topic users
Listing available commands is done simply that way:
docker-compose exec kafka ls /opt/bitnami/kafka/bin
Kafka is an interesting technology, that said, you should be aware that using Kafka is not on its own a passport for managing big data.
Finally, I found out that searching for documentation often leads to Confluent specific tutorial which is not great. I think that using free software should not be tied to a particular company so I hope more people will take some time to tell how to use raw Kafka, I will be glad to read it ;).


Happy Gregorween!
The #gilttech team enjoys having fun in unusual ways, so this week our Dublin and NYC offices jointly “disrupted” Halloween by holding our first-ever Gregorween party. Gregorween honored Principal Software Engineer Gregor Heine (Dublin), Special Operations Lead Software Engineer Greg Mazurek (NYC), and Software Engineer Greg Perez (NYC). Each Greg has his own style to emulate–and emulate we did!
Here’s our Dublin office:
And:
Counted:
- Four Gregor Heines
- Three Greg Mazureks
- Zero Greg Perez’s
Turning to NYC:
Tally:
- Two Gregor Heines
- Four Greg Mazureks
- Two Greg Perez’s
Uh, make that three Gregor Heines in NYC, if you count Brushes the Giraffe’s half-hearted effort (no metal shirt).
This isn’t the first time we’ve created a holiday for someone on the #gilttech team (none of us will ever forget “Dress Like Nathan Day”). So if you take away a message from this otherwise self-indulgent post, it’s that making up holidays for your coworkers is a fun (if a bit strange) way to celebrate their talents, skills and other contributions to your team culture!


Internet in every room to facilitate your studies
Clean and enough amenities for both male and female.
An area for entertainment and spent your time with friends.
Continous power supply,no blackouts and no power cutouts ever.
And wardrobes to store your belongings and personal items
Depending on how many roomates in the room


Today i have to make some complex report including multiple group and functions of mysql in query.
I am impressed by the power of jasper report. At beginning, when i found how complex the report is, i was just freak out. The requirement is: 1 search the record based on opening hour not the normal 00:00:00 to 23:59:59 2 show sale record in groups based on opening date and category and statistic the revenue for both group.
Challenge complete!!
1 By after research, i found how wonderful function the mysql provided for developer. So i could just use sql query to process the records i need. using the following in query:
it helps me to get the business date the record belong to. example:
The following helps me to find the right record based on given period:
2 another challenge is the multiple group statistics of records. Unfortunately, there is some problem in ireport designer. Therefore, i have to use xml to modify the report layout.
The group statistics function is brilliant. The variable could be reset based on report, column, group (if you have multiple group, you could choose one of them) page or even report! That helps me a lot.


A JSON Object of css color names mapped to their hex value
js
var csscolors = require('css-color-names');
console.dir(csscolors);
yields
json
{
"aqua": "#00ffff",
"aliceblue": "#f0f8ff",
"antiquewhite": "#faebd7",
"black": "#000000",
"blue": "#0000ff",
...
}
In the Makefile you’ll see a line like this:
./getcolors.sh | ./stringify.js > $(FILE)
The first command scrapes a site for the list,
and outputs the results separated by newlines. The
second command creates the JSON object and outputs
it to stdout, which then gets redirected into
css-color-names.json
npm install css-color-names
MIT


Library fromKnepleyTextbook_3_2
Ch3_2: Binary Relations
Definition relation (X Y : Type) := X -> Y -> Prop.
Definition reflexive {X: Type} (R: relation X X) := forall a : X, R a a.
Definition transitive {X: Type} (R: relation X X) := forall a b c : X, (R a b) -> (R b c) -> (R a c).
Definition symmetric {X: Type} (R: relation X X) := forall a b : X, (R a b) -> (R b a).
Definition antisymmetric {X: Type} (R: relation X X) := forall a b : X, (R a b) -> (R b a) -> a = b.
Inductive le (n : nat) : nat -> Prop :=
le_n : (le n n)
| le_S : forall m : nat, (le n m) -> (le n (S m)).
Lemma n_le_Sn : forall n, (le n (S n)).
Proof.
intro.
apply le_S.
apply le_n.
Qed.
Definition order {X:Type} (R: relation X X) := (reflexive R) /\ (antisymmetric R) /\ (transitive R).
Theorem le_reflexive : reflexive le.
Proof.
unfold reflexive.
intro a.
apply le_n.
Qed.
Theorem le_trans : transitive le.
Proof.
unfold transitive.
intros a b c Hab Hbc.
induction Hbc.
assumption.
apply le_S.
assumption.
Qed.
Lemma Sn_le_Sm__n_le_m : forall n m, le (S n) (S m) -> le n m.
Proof.
intros n m HSnm.
inversion HSnm.
apply le_n.
apply le_trans with (b := S n).
apply n_le_Sn.
apply H0.
Qed.
Theorem le_antisymmetric : antisymmetric le.
Proof.
unfold antisymmetric.
induction a.
intros b H0b Hb0.
inversion Hb0.
reflexivity.
intros b HSab HbSa.
destruct b.
inversion HSab.
apply Sn_le_Sm__n_le_m in HSab.
apply Sn_le_Sm__n_le_m in HbSa.
apply IHa in HSab.
rewrite HSab.
reflexivity.
exact HbSa.
Qed.
Theorem le_order : order le.
Proof.
unfold order.
split.
apply le_reflexive.
split.
apply le_antisymmetric.
apply le_trans.
Qed.
Definition equivalence {X:Type} (R: relation X X) := (reflexive R) /\ (symmetric R) /\ (transitive R).


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new PaintEngine( { sketch_canvas: , sketch_files: [ ] } , sticker_canvas: , sticker_file: , sticker_x: , sticker_y: , color_transparency: )


Musician Kontihene escapes a gory accident (+ photo
by Adu SarpeahRenowned Ghanaian rapper, Kontihene has gracefully escaped a gory accident taking into consideration his newest post on social media specifically Instagram.
Per the dictate of the post under discussion, the rapper saw everything coming in a dream before the actualisation of the accident in reality.
He said God revealed the accident to him via dream and as a result, he called on his able men of God to remember him in prayers so that the calamity can be reversed. They did that accordingly ad lo and behold, the accident happened and he escaped unhurt.
“I had a dream few days ago, I saw this woman that I know and she was chasing me in the dream with two others. This revelation came around 4 am – I quickly gave her name out to all the prophets that God has surround me with. We fast and wage a warfare prayers. Just 7 days after the fast a strange woman chased me physically on a highway and cut in my lane. I wasn’t moved nor scared…
“I have escaped the fowler’s trap and the snare has been broken. Psalm 124:7 🔥🔥🔥. I declare and degree as a Oracle of God, on this day, I exchange her soul for the evil scheme she’s been plotting against my life #kingdom”, he posted on Instagram.


Expectations:
|
Definition of Done:
|
|
| S | O | L | I | D |
| SRP | OCP | LSP | ISP | DIP |
| Single Responsibility Principle | Open Closed Principle | Liskov Substitution Principle | Interface Segregation Principle | Dependency Inversion Principle |
SRP |
Single Responsibility Principle | A class should have one, and only one, reason to change |
|---|---|---|
OCP |
Open Closed Principle | Open for extension, closed for modification: You should be able to extend a classes behavior, without modifying it |
LSP |
Liskov Substitution Principle | Derived classes must be substitutable for their base classes |
ISP |
Interface Segregation Principle | Clients should not be forced to depend upon interfaces that they do not use: Make fine grained interfaces that are client specific |
DIP |
Dependency Inversion Principle | Depend on abstractions, not on concretions: Abstractions should not depend upon details. Details should depend upon abstractions |


Code / Slides: https://github.com/DJCordhose/big-data-visualization
Credit for coining the term goes to @moritz_stefaner: Worlds, not Stories: data visualization as a macroscope
crossfilter
allows to filter many data sets in the browser using dimensions
var cf = crossfilter(flights); // flights is just an array
var stateOrigin = cf.dimension(function (d) {
return d.stateOrigin;
});
DC
displays crossfilter
dimensions as charts
var stateOriginMap = dc.geoChoroplethChart("#state-origin-map");
stateOriginMap.width(500)
.height(250)
.dimension(stateOrigin)
.group(stateOrigin.group().reduceCount())
.colors(d3.scale.quantize().range(["#E2F2FF", "#C4E4FF", "#9ED2FF", "#81C5FF", "#6BBAFF", "#51AEFF", "#36A2FF", "#1E96FF", "#0089FF", "#0061B5"]))
.colorDomain([0, 20000]));
D3
used as underlying technology to map data to SVG
Code / Slides: https://github.com/DJCordhose/big-data-visualization
Oliver Zeigermann / @DJCordhose


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Hugo ships with several Built-in Shortcodes for rich content, along with a Privacy Config and a set of Simple Shortcodes that enable static and no-JS versions of various social media embeds.
YouTube Embed
Twitter Simple
“In addition to being more logical, asymmetry has the advantage that its complete appearance is far more optically effective than symmetry.”
— Graphic Design History (@DesignReviewed) January 17, 2019
— Jan Tschichold pic.twitter.com/gcv7SrhvJb
The Art of Reading the Docs on Go Time hosted by @jboursiquot & @skriptble & @jerodsanto with @IanLopshire via @rowemore https://t.co/U3FXCbDdOl pic.twitter.com/pzhXl51cuH
— Pod Hunt (@podhuntapp) April 14, 2021
Gist
Figure
Highligt Code
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{% extends 'index.html' %} {% block landing %}
Take the next step in your career with a world class learning experience.
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{% extends 'layout.html' %} {% block body %}
The microframework Flask is based on the Pocoo projects Werkzeug and Jinja2. Werkzeug is a utility library for the Python programming language, in other words a toolkit for Web Server Gateway Interface (WSGI) applications, and is licensed under a BSD License.
Learn more


Class LoginAttempt
Created by PhpStorm. User: kayladnls Date: 1/19/15 Time: 12:07 AM
- IonAuth\IonAuth\Entities\LoginAttempt implements IonAuth\IonAuth\Utilities\Collection\CollectionItem
public
mixed
|
|
public
|
#
increaseLoginAttempts( string $identity )
Function: increaseLoginAttempts()increase_login_attempts Based on code from Tank Auth, by Ilya Konyukhov (https://github.com/ilkon/Tank-Auth) |
public
|
#
clearLoginAttempts( string $identity, $expire_period = 86400 )
clear_login_attemptsBased on code from Tank Auth, by Ilya Konyukhov (https://github.com/ilkon/Tank-Auth) |
public
integer
|
#
getNumberOfAttempts(
Function: getNumberOfAttempts()Get number of attempts to login occured from given IP-address or identity Based on code from Tank Auth, by Ilya Konyukhov (https://github.com/ilkon/Tank-Auth) |
public
integer
|
|
public
boolean
|
#
isMaxLoginAttemptsExceeded( string $identity,… )
is_max_login_attempts_exceeded Based on code from Tank Auth, by Ilya Konyukhov (https://github.com/ilkon/Tank-Auth) |
public
|


Search Results ({{ object_list.count }})
{% for department in object_list %}
{% include "firestation/_fire_department_card.html" %}
{% endfor %}
{% include 'firestation/_pagination.html' %}
{% include "firestation/_footer.html" %}
{% include 'google_analytics.html' %}


Appointment type
In which hospital would you like your appointment?.
Who is this appointment for?
PATIENT INFO (AS IN PASSPORT):
Patient diagnosis information.
Are you under any medications? YES. NO.
WEIGHT KILOS. POUNDS.
HEIGHT METERS. FEETS.
Allergies to any medications? YES. NO.
Allergies to food? YES. NO.
Allergy to Latex? YES. NO.
PREVIOUS TREATMENTS RECEIVED.
is this a Regular Check-up? YES. NO.
Have you received Radiation? YES. NO.
Have you previously received chemotherapy treatment? YES. NO.
Have you had any operations? YES. NO.
MEDICAL CONCERN:.
What is the primary medical problem or diagnosis fo the appointment request?
APPOINTMENT INFO:.
(Appointments are set between 1 to 5 days)
Appointment Date First Choice: to
Appointment Date Second Choice: to
Would you like an Interpreter service? YES. NO.
Would you like us to get you hotel accomodation near the Hospital? YES. NO. Hotel Name: Number of guests travelling with you? 0 1 2 3 4 5 6 7 8 Number of rooms needed? 1 2 3 4 5
Transportation form Hospital to Hotel? YES. NO.
Special Diet during your hospital Stay YES. NO. Specify:
Please select the information you would like about the Country:


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Well, you know how they say that the first weeks of anything are always meant to weed out candidates? well, I guess you could say that is true here at Lambda. I am typing this on a Sunday after my first week and about 5 people have already left our web24 cohort funny thing is that I could have been one of those people that left because I was struggling a lot not understanding the basics, and having a really hard time with flex-box and how to use the commands in Git, but hallelujah I got throught it and I feel like I've already learned more in this first week than I had learned self-studying for about 4 months. Yeah, that's how much content you see and as you can see it can get very hard if you don't already come prepared to put it your time and effort. It is somewhat like if Lambda says "Hey, if you keep up with me I can make you a great developer" and I believe that.


Stock Demo
ABRANDAO.COM Simulated Stock Data using Server Sent Events
{Name}
$
...
/ share
updated:
Source: NASDAQ
Buy Shares


Schema for Table storing AIM objects is as follows :
| Column Name | Description | Data Type |
|---|---|---|
| UNIQUE_ID | UniqueIdentifier for AnnotationCollection | varchar(64) |
| REVIEWER | Reviewer | varchar(64) |
| DATE_CREATED | Date Created | timestamp |
| PATIENT_ID | PatientID or Subject | varchar(64) |
| XMLCOLUMN | Entire AIM object in XML format | xml |
| DATA_SOURCE | Contains source of AIM object. For example : bindaas, etc. | varchar(120) |
Data submissions are accepted in following two formats :


We are not afraid to challenge the status-quo.We debate respectfully and insightfully as often as we can & We never stop learning.
We operate in a ‘no excuse’ zone.We are relentlessly resourceful & We make time to help others achieve their goals.
We are obsessed with customer happiness.We sweat the details in every interaction & We optimize for speed.
Fill in the form below to get instant access


Majuro is the capital of the Marshall Islands and is spread over the three adjacent islands of Darita, Uliga and Delap, locally known as DUD. Half the population of the Islands live here.
Delap, Majuro :© Karen Earnshaw
See Marshall Islands Clearance page for full details.
Last updated January 2015.
There are a number of moorings available most of the year in both mooring fields in Majuro. There are two mooring areas; RRE (north field) and Matt Holly (south field). It is advisable to dive down and inspect your mooring.
There is a floating Dinghy dock on the RRE Shoreline waterfront area, which is immediately at the shore in the north mooring field. This along with garbage disposal will be included at no additional charge for all RRE moorings. All others will be welcome to use the facilities for a small additional monthly fee with decreasing rates for longer stays.
North Mooring Field :© Bonny Taggart
Anchoring is possible next to the south mooring field in plenty of space, however in the past yachts have been known to drag as the sand is quite shallow on rock.
Note that during SW and W winds, more rubbish appears in the anchorage than normal and sometimes oil spills from ships anchored in the lagoon.
Last updated April 2014.
Mieco Beach Yacht Club burgee


Your new appointment summary
date
10-01-2019
time
14:00 - 15:00
provider
Marian Nowak
work
english
description
description
price
50
pln
cancellable by customer?
Yes
Book


{% extends "sentry_hipchat_ac/configure_layout.html" %} {% block body %}
This room is authenticated as {{ tenant.auth_user.username }}. If you confirm the sign-out the room will no longer receive any notifications and you will need to re-authenticate.
Do you wish to continue?
{% endblock %}


Note: our PayPal email for donations is<EMAIL_ADDRESS>-<EMAIL_ADDRESS>is deprecated.
Donations
Please note: If you donate more than $13,000 total in one year we are
required by
law to disclose your name and address to the AEC. We will not be able to accept such donations if we don't
have those details. Please email us if you'd like to make a large donation.
NB: The first $1500 of the donation are tax deductable.
All donations need to come with a name and address (unfortunately) due to reporting laws. Basically we need to
ensure any single person doesn't donate more than $13,000 per year.
Please let us know via email if you would like public attribution on our Finances page.
Flux currently accepts donations via three methods:
-
Paypal: (See Above)
-
Bank Transfer: our bank details are:
Name: Max Kaye
BSB: 06 2948
Acct: 1382 4716
Node: You MUST email us after making a bank transfer with your name and address (donations@voteflux.org). Otherwise we cannot accept the donation.
-
Bitcoin: our current donation address is 1EDGSgTW5iGHGesyYACSXYUNbwB6BPEDan
Please keep in mind the above restrictions around disclosure limits still apply, and you'll still need to email
us your name and address. Unless we're holding a fundraiser for something specific we'll hold Bitcoin as
BTC until we need to spend it, and will spend AUD before BTC.
Donation Log


The Subaru Impreza is a compact car that has been manufactured since 1992 by Subaru, introduced as a replacement for the Leone, with the predecessor's EA series engines replaced by the new EJ series.
Now in its fifth generation, Subaru has offered four-door sedan and five-door body variants since 1992; the firm also offered a coupe from 1995 until 2001, and a 5-door wagon from the Impreza's introduction in the form of a hatchback. Mainstream versions have received "boxer" flat-four engines ranging from 1.5- to 2.5-liters, with the performance-oriented Impreza WRX and WRX STI models uprated with the addition of turbochargers. Since the third generation series, some markets have adopted the abbreviated Subaru WRX name for these high-performance variants. The first three generations of Impreza in North America were also available with an off-road appearance package called the Outback Sport. For the fourth generation, this appearance package was renamed the XV (Crosstrek in North America), and, unlike the Outback Sport (which was exclusive to the North American market), is sold internationally.
The Impreza (also Impreza WRX and Impreza WRX STI) is a major rival to the Mitsubishi Lancer (and Mitsubishi Lancer Evolution).
Subaru has offered both front- and all-wheel drive layouts for the Impreza. Since the late-1990s, some markets have restricted sales to the all-wheel drive model—therefore granting the Impreza a unique selling proposition in the global compact class characterized by front-wheel drive. However, Japanese models remain available in either configuration.
Image taken by Willie Bos at Flickr.com
The Impreza chassis has been more successful in rallying than Subaru's previous contenders. Prior to the introduction of the Impreza into World Rally Championship racing in 1993, the Subaru World Rally Team had fielded its larger mid-size Legacy. However, with the rest of the rally competition increasingly shifting towards smaller and lighter chassis, Subaru introduced the smaller Impreza, immediately achieving a podium on its debut on the 1993 1000 Lakes Rally. To jumpstart its early rally efforts, and to develop the Impreza into a competitive rally car, Subaru teamed up with preparatory firm and British motorsports company Prodrive, in 1989.
Personally, the WRX Impreza is one of the coolest cars out there. It is a highly successful rally car, and in general is a quick and capable car that could do practically anything. The STi model in particular is what I believe to the ultimate version of this car as the iconic blue of that comes out the factory is something I could recognize immediately.
Growing up as a kid, my family owned a silver 05 WRX. It was easily one of the coolest cars I have ever been. I had a lot of memories in that car as the funnest memories I had was cruising with my dad and hearing the turbo every time he gunned it down the highway. Sadly, my parents had to sell the car back in 2012 because we needed money. We are financially secure now, but back then, it hurt having to see the car go after the memories I had in it.
The newest models of Subaru WRX is also something I wouldn't mind owning too. The newer models I believe still hold true to the earlier models. With it still retaining it's AWD capabilities and still proving to be an awesome and reliable car. While many people may not like the Subaru's new appearence, I still like it as well as all Subarus.
My lifelong goal after completing college is to own an 05 WRX like the one my family had when I was a kid. I always loved Subaru's in general but the WRX in particular is a car I will never forget. I hope one day I can own one, as I believe it is one of the coolest and most memorable cars out there. In my opinion, a Subaru is a car that can do basically anything.


An all in one exclusive magical time of your life getaway resort experience in the islands of the Black Sea, where your problems will float away.
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--- title: Rejection Sampling layout: post date: 2020-02-10 12:05:00-0400 comments: true --- {% include mathjax-macros.html %}
Rejection Sampling is a technique that allows to sample from a distribution \(p\) defined on some random variable \(x\) we otherwise would not be able to. It works, as the name implies, by sampling from some other distribution \(q\) and then we accept or reject that sample with some probability \(p(A|x):\tub{0,1}\rightarrow \br{0,1}\). This acceptance probability must be defined such that the distribution of the accepted samples follow that of \(p\).
If we are able to evaluate \(p\) we could define \(p(A|x)=\frac{p(x)}{q(x)M}\), where \(M>0\) is chosen such that \(q(x)M>p(x) \forall x\) (we need the \(M\), otherwise there will be regions where \(p(x)>q(x)\Rightarrow p(A|x)=\frac{p(x)}{q(x)}>1\)).
To see why this works we invoke Bayes rule and find that,
\begin{align*} p(x|A)&=\frac{p(A|x)q(x)}{p(A)}\\ &=\frac{\frac{p(x)}{q(x)}q(x)}{Mp(A)}\\ &=\frac{p(x)}{Mp(A)}, \end{align*}where \[ p(A)=\int p(A|x)q(x)\dm{x} = \frac{1}{M}\int\frac{p(x)}{q(x)}q(x)\dm{x}=\frac{1}{M}, \] such that
\[p(x|A)=p(x),\]
as we wanted.
We typically consider two different categories for rejection sampling; hard rejection and soft rejection. The hard rejection case defines \(p(A|x)=\unicode{x1D7D9}_\br{C}(x)\) (i.e. accept \(x\) only if \(x\in C\)) whereas soft rejection accept the sample \(x\) with some probability. The former case could for instance be used to truncate the normal distribution such that we reject all samples below e.g. 0.
For more information about such sampling techniques see e.g. gelman2013bayesian
One might be tempted to consider rejection sampling for Bayesian inference where we seek to infer the posterior distribution on \(x\) given some observed values \(y\). However, that will turn out to be a incredible inefficient and in the continuous case we will even end up never accepting any samples at all.
To see this we can consider a simple two variable scenario with a joint distribution \(p(x,y)\), where \(x,y\in\real\). Assuming we observe \(y=y^*\) and using rejection sampling to sample from \(p(x|y)\) we could try and consider the following: sample \(x,\tilde{y}\sim p(x,y)\), accept \(x\) only if \(\tilde{y}=y^*\), and then throw away \(\tilde{y}\) (which is equal to \(y^*\) anyway), s.t.
\[ p(A|x,y) = \unicode{x1D7D9}_\br{y=y^*}(x,y). \]
Given our previous derivations this might seem like a good idea as (here we generalize to the distribution over \(x\) and \(y\) to be consistent, but since we through away accepted \(y\) we do an implicit marginalization),
\begin{align*} p(x,y|A)&=\frac{p(A|x,y)p(x,y)}{p(A)}\\ &=\frac{p(A|x,y)p(x|y)p(y)}{p(A)}\\ &=\frac{p(x|y=y^*)p(y^*)}{p(A)}, \end{align*}and
\[p(A)=\int p(A|x,y)p(x|y)p(y)\dm{x}\dm{y}=\int p(x|y=y^*)p(y^*)\dm{x}=p(y^*),\]
leaving us with,
\[p(x,y|A)=\frac{p(x|y=y^*)p(y^*)}{p(y^*)}=p(x|y=y^*),\]
which again is exactly what we wanted! However, in the continuous case the probability of actually ever sampling \(y=y^*\) is zero! And so we would end up never accepting any samples \(x\). Of course this issue is only exacerbated in higher dimensions.


Clotting Cascade
Take a minute to review this flow chart. We will cover the specific elements next.
Clot Formation
- Primary hemostasis
- -Platelet plug formation
- Adhesion, activation, aggregation
- Secondary hemostasis
- -Fibrin formation
- Strengthen and stabilize clot
- -Intrinsic and extrinsic pathways
It is important to know the difference between primary hemostasis and secondary hemostasis.
How do we prevent a clot?
- Native anticoagulants
- -Protein C & S
- -x
- Serine protease inhibitor
- Irreversibly binds coagulation enzymes
- Fibrinolysi
- -Breaking down of the clot by degrading fibrin
- Fibrin degradation products interfere with platelet aggregation and inhibit thrombin/fibrin function


Welcome to the app that keeps track of all meal, nutrition details for kids! This new app was made to eliminate the stress of maintaining your kids at ultimate. Features include up to date information with up-to-date interesting facts!..
Never in all their history have men been able truly to see a lot of foods in market, every corver of world from the luxury to the darkest side.
We need to ahve a cool head to to maintain a diversified food selection to kids to ensure the they grow phisically mentally well. We help you to release this stress
The Earth was small, you would like your kids to dream, to make a step-by-step then fly to Galaxy.
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We are a team excited to change the face of online dating by focusing on real world activities.
You can contact us at: nuteami2017.at.gmail.com


Using this page, you can generate a file that contains a secret message. The secret message can only be obtained using the key that will be randomly generated.
Once you have saved the file, send it using whatever tool you want. Remember to transmit the key separately.*
The encryption is only as secure as the weakest link in the chain. Don't send the file and password over the same channel. If you're serious about security, don't send the password at all, but give it to the receiver manually.


Book: After the Earth was used up, we found a new solar system and hundreds of new Earths were terraformed and colonized. The central planets formed the Alliance and decided all the planets had to join under their rule. There was some disagreement on that point. After the War, many of the Independents who had fought and lost drifted to the edges of the system, far from Alliance control. Out here, people struggled to get by with the most basic technologies; a ship would bring you work, a gun would help you keep it. A captain's goal was simple: find a crew, find a job, keep flying.
The Operative: You are fooling yourself, Captain. Nothing here is what it seems. You are not the plucky hero, the Alliance is not an evil empire, and this is not the grand arena. Inara Serra: And that's not incense.
Teacher: Earth that was could no longer sustain our numbers, we were so many. We found a new solar system, dozens of planets and hundreds of moons. Each one terraformed, a process taking decades, to support human life, to be new Earths. The Central Planets formed the Alliance. Ruled by an interplanetary parliament, the Alliance was a beacon of civilization. The savage outer planets were not so enlightened and refused Alliance control. The war was devastating, but the Alliance's victory over the Independents ensured a safer universe. And now everyone can enjoy the comfort and enlightenment of our civilization.


|
JavaTM 2 Platform Standard Ed. 5.0 |
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java.lang.Object javax.print.DocFlavor
public class DocFlavor
Class DocFlavor
encapsulates an object that specifies the
format in which print data is supplied to a DocPrintJob
.

The print data format, or "doc flavor", consists of two things:
Class.getName()
method.
(Thus the class name for byte[]
is "[B"
, for
char[]
it is "[C"
.)
A DocPrintJob
obtains its print data by means of interface
Doc
. A Doc
object lets the DocPrintJob
determine the doc flavor the client can supply. A Doc
object
also lets the DocPrintJob
obtain an instance of the doc flavor's
representation class, from which the DocPrintJob
then obtains
the actual print data.
For client formatted print data, the client determines or knows the print data format. For example the client may have a JPEG encoded image, a URL for HTML code, or a disk file containing plain text in some encoding, possibly obtained from an external source, and requires a way to describe the data format to the print service.
The doc flavor's representation class is a conduit for the JPS
DocPrintJob
to obtain a sequence of characters or
bytes from the client. The
doc flavor's MIME type is one of the standard media types telling how to
interpret the sequence of characters or bytes. For a list of standard media
types, see the Internet Assigned Numbers Authority's (IANA's) Media Types
Directory. Interface Doc
provides two utility operations,
getReaderForText
and
getStreamForBytes()
, to help a
Doc
object's client extract client formatted print data.
For client formatted print data, the print data representation class is typically one of the following (although other representation classes are permitted):
char[]
) -- The print data consists of the
Unicde characters in the array.
String
--
The print data consists of the Unicode characters in the string.
java.io.Reader
)
-- The print data consists of the Unicode characters read from the stream
up to the end-of-stream.
byte[]
) -- The print data consists of the bytes in
the array. The bytes are encoded in the character set specified by the doc
flavor's MIME type. If the MIME type does not specify a character set, the
default character set is US-ASCII.
java.io.InputStream
) --
The print data consists of the bytes read from the stream up to the
end-of-stream. The bytes are encoded in the character set specified by the
doc flavor's MIME type. If the MIME type does not specify a character set,
the default character set is US-ASCII.
URL
)
-- The print data consists of the bytes read from the URL location.
The bytes are encoded in the character set specified by the doc flavor's
MIME type. If the MIME type does not specify a character set, the default
character set is US-ASCII.
When the representation class is a URL, the print service itself accesses and downloads the document directly from its URL address, without involving the client. The service may be some form of network print service which is executing in a different environment. This means you should not use a URL print data flavor to print a document at a restricted URL that the client can see but the printer cannot see. This also means you should not use a URL print data flavor to print a document stored in a local file that is not available at a URL accessible independently of the client. For example, a file that is not served up by an HTTP server or FTP server. To print such documents, let the client open an input stream on the URL or file and use an input stream data flavor.
For byte print data where the doc flavor's MIME type does not include a
charset
parameter, the Java Print Service instance assumes the
US-ASCII character set by default. This is in accordance with
RFC 2046, which says the
default character set is US-ASCII. Note that US-ASCII is a subset of
UTF-8, so in the future this may be widened if a future RFC endorses
UTF-8 as the default in a compatible manner.
Also note that this is different than the behaviour of the Java runtime when interpreting a stream of bytes as text data. That assumes the default encoding for the user's locale. Thus, when spooling a file in local encoding to a Java Print Service it is important to correctly specify the encoding. Developers working in the English locales should be particularly conscious of this, as their platform encoding corresponds to the default mime charset. By this coincidence that particular case may work without specifying the encoding of platform data.
Every instance of the Java virtual machine has a default character encoding determined during virtual-machine startup and typically depends upon the locale and charset being used by the underlying operating system. In a distributed environment there is no gurantee that two VM's share the same default encoding. Thus clients which want to stream platform encoded text data from the host platform to a Java Print Service instance must explicitly declare the charset and not rely on defaults.
The preferred form is the official IANA primary name for an encoding.
Applications which stream text data should always specify the charset
in the mime type, which necessitates obtaining the encoding of the host
platform for data (eg files) stored in that platform's encoding.
A CharSet which corresponds to this and is suitable for use in a
mime-type for a DocFlavor can be obtained
from
This may not always be the primary IANA name but is guaranteed to be
understood by this VM.
For common flavors, the pre-defined *HOST DocFlavors may be used.
DocFlavor.hostEncoding
See character encodings for more information on the character encodings supported on the Java platform.
The Java Print Service API does not define any mandatorily supported DocFlavors. However, here are some examples of MIME types that a Java Print Service instance might support for client formatted print data. Nested classes inside class DocFlavor declare predefined static constant DocFlavor objects for these example doc flavors; class DocFlavor's constructor can be used to create an arbitrary doc flavor.
| MIME-Type | Description |
|---|---|
"text/plain" |
Plain text in the default character set (US-ASCII) |
"text/plain; charset=xxx" |
Plain text in character set xxx |
"text/html" |
HyperText Markup Language in the default character set (US-ASCII) |
"text/html; charset=xxx" |
HyperText Markup Language in character set xxx |
In general, preformatted text print data is provided either in a character oriented representation class (character array, String, Reader) or in a byte oriented representation class (byte array, InputStream, URL).
| MIME-Type | Description |
|---|---|
"application/pdf" |
Portable Document Format document |
"application/postscript" |
PostScript document |
"application/vnd.hp-PCL" |
Printer Control Language document |
In general, preformatted PDL print data is provided in a byte oriented representation class (byte array, InputStream, URL).
| MIME-Type | Description |
|---|---|
"image/gif" |
Graphics Interchange Format image |
"image/jpeg" |
Joint Photographic Experts Group image |
"image/png" |
Portable Network Graphics image |
In general, preformatted image print data is provided in a byte oriented representation class (byte array, InputStream, URL).
| MIME-Type | Description |
|---|---|
"application/octet-stream" |
The print data format is unspecified (just an octet stream) |
The printer decides how to interpret the print data; the way this "autosensing" works is implementation dependent. In general, preformatted autosense print data is provided in a byte oriented representation class (byte array, InputStream, URL).
For service formatted print data, the Java Print Service instance
determines the print data format. The doc flavor's representation class
denotes an interface whose methods the DocPrintJob
invokes to
determine the content to be printed -- such as a renderable image
interface or a Java 2 printable interface.
The doc flavor's MIME type is the special value
"application/x-java-jvm-local-objectref"
indicating the client
will supply a reference to a Java object that implements the interface
named as the representation class.
This MIME type is just a placeholder; what's
important is the print data representation class.
For service formatted print data, the print data representation class is typically one of the following (although other representation classes are permitted). Nested classes inside class DocFlavor declare predefined static constant DocFlavor objects for these example doc flavors; class DocFlavor's constructor can be used to create an arbitrary doc flavor.
RenderableImage
. The
printer calls methods
in that interface to obtain the image to be printed.
Printable
.
The printer calls methods in that interface to obtain the pages to be
printed, one by one.
For each page, the printer supplies a graphics context, and whatever the
client draws in that graphics context gets printed.
Pageable
. The printer calls
methods in that interface to obtain the pages to be printed, one by one.
For each page, the printer supplies a graphics context, and whatever
the client draws in that graphics context gets printed.
("text/plain", "java.io.InputStream")
("text/plain; charset=us-ascii", "java.io.InputStream")
("text/plain; charset=utf-8", "java.io.InputStream")
("application/x-java-jvm-local-objectref", "java.awt.image.renderable.RenderableImage")
A Java Print Service instance is allowed to support any other doc flavors (or none) in addition to the above mandatory ones, at the implementation's choice.
Support for the above doc flavors is desirable so a printing client can rely on being able to print on any JPS printer, regardless of which doc flavors the printer supports. If the printer doesn't support the client's preferred doc flavor, the client can at least print plain text, or the client can convert its data to a renderable image and print the image.
Furthermore, every Java Print Service instance must fulfill these requirements for processing plain text print data:
The client must itself perform all plain text print data formatting not addressed by the above requirements.
Class DocFlavor in package javax.print.data is similar to class
DataFlavor
. Class
DataFlavor
is not used in the Java Print Service (JPS) API
for three reasons which are all rooted in allowing the JPS API to be
shared by other print services APIs which may need to run on Java profiles
which do not include all of the Java 2 Standard Edition.
java.awt.datatransfer.DataFlavor
does not guarantee that equivalent data flavors will have the same
serialized representation. DocFlavor does, and can be used in services
which need this.
java.awt.datatransfer.DataFlavor
includes a human presentable name as part of the serialized representation.
This is not appropriate as part of a service matching constraint.
Class DocFlavor's serialized representation uses the following canonical form of a MIME type string. Thus, two doc flavors with MIME types that are not identical but that are equivalent (that have the same canonical form) may be considered equal.
Class DocFlavor's serialized representation also contains the fully-qualified class name of the representation class (a String object), rather than the representation class itself (a Class object). This allows a client to examine the doc flavors a Java Print Service instance supports without having to load the representation classes, which may be problematic for limited-resource clients.
| Nested Class Summary | |
|---|---|
static class |
DocFlavor.BYTE_ARRAY
Class DocFlavor.BYTE_ARRAY provides predefined static constant DocFlavor objects for example doc flavors using a byte array ( byte[] ) as the print data representation class. |
static class |
DocFlavor.CHAR_ARRAY
Class DocFlavor.CHAR_ARRAY provides predefined static constant DocFlavor objects for example doc flavors using a character array ( char[] ) as the print data representation class. |
static class |
DocFlavor.INPUT_STREAM
Class DocFlavor.INPUT_STREAM provides predefined static constant DocFlavor objects for example doc flavors using a byte stream ( ) as the print
data representation class. |
static class |
DocFlavor.READER
Class DocFlavor.READER provides predefined static constant DocFlavor objects for example doc flavors using a character stream ( ) as the print data
representation class. |
static class |
DocFlavor.SERVICE_FORMATTED
Class DocFlavor.SERVICE_FORMATTED provides predefined static constant DocFlavor objects for example doc flavors for service formatted print data. |
static class |
DocFlavor.STRING
Class DocFlavor.STRING provides predefined static constant DocFlavor objects for example doc flavors using a string ( ) as the print data representation class. |
static class |
DocFlavor.URL
Class DocFlavor.URL provides predefined static constant DocFlavor objects. |
| Field Summary | |
|---|---|
static String |
hostEncoding
A String representing the host operating system encoding. |
| Constructor Summary | |
|---|---|
DocFlavor(String mimeType,
String className)
Constructs a new doc flavor object from the given MIME type and representation class name. |
| Method Summary | |
|---|---|
boolean |
equals(Object obj)
Determines if this doc flavor object is equal to the given object. |
String |
getMediaSubtype()
Returns this doc flavor object's media subtype (from the MIME type). |
String |
getMediaType()
Returns this doc flavor object's media type (from the MIME type). |
String |
getMimeType()
Returns this doc flavor object's MIME type string based on the canonical form. |
String |
getParameter(String paramName)
Returns a String representing a MIME
parameter. |
String |
getRepresentationClassName()
Returns the name of this doc flavor object's representation class. |
int |
hashCode()
Returns a hash code for this doc flavor object. |
String |
toString()
Converts this DocFlavor to a string. |
| Methods inherited from class java.lang.Object |
|---|
clone, finalize, getClass, notify, notifyAll, wait, wait, wait |
| Field Detail |
|---|
public static final String hostEncoding
| Constructor Detail |
|---|
public DocFlavor(String mimeType, String className)
mimeType
- MIME media type string.className
- Fully-qualified representation class name.
NullPointerException
- (unchecked exception) Thrown if mimeType
is null or
className
is null.
IllegalArgumentException
- (unchecked exception) Thrown if mimeType
does not
obey the syntax for a MIME media type string.| Method Detail |
|---|
public String getMimeType()
public String getMediaType()
public String getMediaSubtype()
public String getParameter(String paramName)
String
representing a MIME
parameter.
Mime types may include parameters which are usually optional.
The charset for text types is a commonly useful example.
This convenience method will return the value of the specified
parameter if one was specified in the mime type for this flavor.
paramName
- the name of the paramater. This name is internally
converted to the canonical lower case format before performing
the match.
throws
- NullPointerException if paramName is null.public String getRepresentationClassName()
public String toString()
DocFlavor
to a string.
public int hashCode()
Object.equals(java.lang.Object)
,
Hashtable
public boolean equals(Object obj)
DocFlavor
, has a MIME type equivalent to this doc
flavor object's MIME type (that is, the MIME types have the same media
type, media subtype, and parameters), and has the same representation
class name as this doc flavor object. Thus, if two doc flavor objects'
MIME types are the same except for comments, they are considered equal.
However, two doc flavor objects with MIME types of "text/plain" and
"text/plain; charset=US-ASCII" are not considered equal, even though
they represent the same media type (because the default character
set for plain text is US-ASCII).
obj
- Object to test.
obj
, false
otherwise.Object.hashCode()
,
Hashtable
|
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Copyright © 2004, 2010 Oracle and/or its affiliates. All rights reserved. Use is subject to license terms. Also see the documentation redistribution policy.


This tool can be used to remove unwanted glosses and definitions introduced by use of the SIL CAWL word pack in some dictionary software.
This tool can be configured under the config tab. By default the tool reports on what could be done. Use the checkboxes to enable the various fixes.
The input lift file is not modified, if the fixes are enabled the modified lift is saved as [filename].processed.lift.
Uses the Palaso library, whose authors include Eric Albright, Tim Armstrong, John Hatton, & Cambell Prince.


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China is speeding up strategic plan, standards, traffic rules, laws and regulations on accident-incurred liabilities for its smart car industry, Economic Information Daily reported Thursday.
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In the Octoblu Designer this device has a message UI, but if you'd like to message it directly, the message structure is defined below.
In order to change the url, send this device a message format like this.
{
"devices": ["..."],
"url": "https://www.octoblu.com"
}
OR
{
"devices": ["..."],
"payload":{
"url": "https://www.octoblu.com"
}
}
In order to change the text, send this device a message format like this.
You can change the styles by using the textStyles property. It will be passed into jQuery CSS
{
"devices": ["..."],
"text": "Hello there!",
"textStyles": {}
}
OR
{
"devices": ["..."],
"payload":{
"text": "Hello there!",
"textStyles": {}
}
}
In order to change the html, send this device a message format like this.
{
"devices": ["..."],
"html": "Hello there!"
}
OR
{
"devices": ["..."],
"payload":{
"html": "Hello there!"
}
}


Pypline
Instructions
Instructions:
1. Go to:
https://pilot.wr.usgs.gov/
.
2. Pick the planet or moon you like.
Note: Currently supported missions are Galileo SSI and MRO CTX.
3. Look through the images that you like and checkmark them.
4. After that once you are done picking out your images in the top right of the images section click on the download button.
5. Then download the CSV file.
Note: be sure to download it in an easy to access folder.
6. Once you know where you downloaded the csv file upload it to our UI. The UI will automatically populate itself with the pictures and mission specific processing commands.
7. Uncheck the commands you don't like to use, alter command parameters at your discretion, and submit.
Submit CSV


This is a small demo site to show case the awesomeness of twitter bootstrap. Everthing found on this site has been done using plain bootstrap (no special themes) and no javascript has been written along with very little styling. So none of the buttons will work. This is just to show case the bootstrap capabilities such as navbar, carousel, jumbotron, forms, thumbnails, grid system and scrollspy.
The photos in the site were taken by me :)


# Version 1.3.0
- Added support for multiple polymorphic optional nesting
- Fix nested namespace in mountable apps
- Added support for rails 3.1 new mass assignment conventions
- Turn InheritedResources::Base into a reloadable constant to fix reloading issues
# Version 1.2.2
- Fix a bug in params parsing
- Call .scoped only if it is available
# Version 1.2.1
- Fix a bug with namespaces
- Use Post.scoped instead of Post.all in collection
# Version 1.2
- Improved lookup for namespaces (by github.com/Sirupsen)
- Support to custom actions (by github.com/lda)
- Rails 3.1 compatibility (by github.com/etehtsea)
# Version 1.1
- Rails 3 compatible
# Version 1.0
- responders was removed from InheritedResources core and
is a dependency. To install it, please do:
sudo gem install responders
- has_scope was removed from InheritedResources core and
is now available as a standalone gem. To install it, please do:
sudo gem install has_scope
# Version 0.9
- Allow dual blocks in destroy;
- Added :if and :unless to has_scope (thanks to Jack Danger);
- Added create_resource, update_resource and delete_resource hooks (thanks to Carlos Antonio da Silva);
- Backported ActionController::Responder from Rails 3;
- Added parent_url helper;
- Added association_chain helper (as suggested by github.com/emmanuel);
# Version 0.8
- Fixed a small bug on optional belongs to with namespaced controllers.
- Allow a parameter to be given to collection_url in polymorphic cases to replace the parent.
- Allow InheritedResources to be called without inheritance.
- Ensure that controllers that inherit from a controller with InheritedResources works properly.
# Version 0.7
- Allow procs as default value in has scope to be able to use values from session, for example.
- Allow blocks with arity 0 or -1 to be given as the redirect url:
def destroy destroy!{ project_url(@project) } end
- Allow interpolation_options to be set in the application controller.
- Added has_scope to controller (an interface for named_scopes).
- Added polymorphic_belongs_to, optional_belongs_to and singleton_belongs_to as quick methods.
- Only load belongs_to, singleton and polymorphic helpers if they are actually required. base_helpers, class_methods, dumb_responder and url_helpers are loaded when you inherited from base for the first time.
# Version 0.6
- Ensure that the default template is not rendered if the
default_template_format is not accepted. This is somehow related with the
security breach report:
www.rorsecurity.info/journal/2009/4/24/hidden-actions-render-templates.html
IR forbids based on mime types. For example: respond_to :html, :except => :index ensures that the index.html.erb view is not rendered, making your IR controllers safer.
- Fixed a bug that happens only when format.xml is given to blocks and then it acts as default, instead of format.html.
- Fixed a strange bug where when you have create.html.erb or update.html.erb, it makes IE6 and IE7 return unprocessable entity (because they send Mime::ALL).
- Stop rescueing any error when constantizing the resource class and allow route_prefix to be nil.
- Cleaned up tests and responder structure. Whenever you pass a block to aliases and this block responds to the request, the other blocks are not parsed improving performance.
- [BACKWARDS INCOMPATIBLE] By default, Inherited Resources respond only :html requests.
- Added a quick way to overwrite the redirect to url in :create, :update and :destroy.
# Version 0.5
- Decoupled routes name from :instance_name and :collection_name. This way we have more flexibility. Use route_instance_name and route_collection_name to to change routes.
- Avoid calling human_name on nil when a resource class is not defined.
- Only call I18n if it’s defined.
# Version 0.4
- Dealing with namespaced controllers out of the box.
- Added support to namespaced routes through :route_prefix.
- Added fix when resource_url is not defined.
- Added better handling for namespaced controllers.
- Added flash messages scoped by namespaced controllers.
- Deprecated {{resource}} in I18n, use {{resource_name}} instead.
- rspec bug fix is not automatically required anymore. User has to do it explicitly.
- Added a file which fix a rspec bug when render is called inside a method which receives a block.
- parent? does not take begin_of_association_chain into account anymore
- Added options to url helpers.
- Added :optional to belongs_to associations. It allows you to deal with categories/1/products/2 and /products/2 with just one controller.
- Cleaned up tests.
# Version 0.3
- Minor bump after three bug fixes.
- Bug fix when showing warning of constant redefinition.
- Bug fix with ApplicationController not being unloaded properly on development.
- Bug fix when having root singleton resources. Calling collection_url would raise “NoMethodError _url”, not it will call root_url.
- More comments on UrlHelpers.
# Version 0.2
- Bug fix when ApplicationController is already loaded when we load respond_to.
- Added support success/failure blocks.
- Eager loading of files to work properly in multithreaded environments.
# Version 0.1
- Added more helper_methods.
- Added Rails 2.3.0 and changed tests to work with ActionController::TestCase.
- First release. Support to I18n, singleton controllers, polymorphic
controllers, belongs_to, nested_belongs_to and url helpers.


{% extends "layout.html" %} {% block page_title %} Find Data Alpha {% endblock %} {% block content %} Service unavailable Sorry you can't use this service because of a technical problem. We're working on a fix. Please try again later. {% endblock %}
Sorry you can't use this service because of a technical problem.
We're working on a fix. Please try again later.


by Michael Hello World T1a01 Number Color T1a03 Basic Webpage T1a04 Array T1a05 Spy Program T1a06 Events T1a08 Rock, Paper, Scissors T1a011 Interval T1a012 Moving Background T2a01 ....


--- layout: base title: Computer Anonymous - Akron ---
Read The overview if you haven't already.
We've just gotten started! Join us on IRC if you want in. :)
We're still yet to settle a regular schedule, but let's get a calendar soon (!)
We are currently planning our first meeting. Give scheduling input on doodle.
Talk to us if you want to attend, or just turn up!


HA venv to Docker
Another year, another Python deprecation, another flood of posts asking how to upgrade a Python venv.
While you can certainly do that, another option would be to move to Docker (at least assuming you’re running on Linux). Then you don’t have to do this next year. Moving to Docker is pretty simple, it’s largely a case of following the docs, and writing a compose file that points to your existing config.
Summary
- Install Docker CE, either from your distro’s package manager or following the official docs
- Write your compose file
- Stop your venv, and disabled the service
- Start your container
Install Docker
Install Docker, I personally prefer to use the official repositories, or if you’re on a Pi use the convenience script. Those are more up to date than you’ll get with your distro.
Once you’ve installed it, enable the service and start Docker - this is covered in the official docs so I won’t cover it here.
Write your compose file
For convenience, create /docker
to store your compose file in - it makes it easier to find in the future.
Then, assuming your current config is in /home/homeassistant/.homeassistant
you’ll use the following docker-compose.yml
file:
version: '3'
services:
homeassistant:
container_name: home-assistant
image: homeassistant/home-assistant:stable
volumes:
- /home/homeassistant/.homeassistant:/config
environment:
- TZ=Europe/London
restart: always
network_mode: host
Obviously you’ll want to update the timezone to match where you live. If you have any directly connected devices (eg USB sticks), you’ll need to map those as explained here. Once that’s done you’ll want to pull the image before continuing (the following assumes your user is in the docker group):
docker-compose pull
End the venv
Exactly how you do this will depend on your setup, but it’ll likely be something like:
sudo systemctl stop home-assistant@homeassistant
sudo systemctl disable home-assistant@homeassistant
Start your container
In /docker
, type the following:
docker-compose up -d homeassistant
You can watch the container logs with:
docker-compose logs --tail -100 -f homeassistant
That gives you the last 100 lines, and then follows the output.
Finally, see the Home Assistant docs for further information on working with HA in Docker, at least until you learn more about Docker.


He was born Farrokh Bulsara on , in Zanzibar, Tanzania.
Mercury was born with four extra teeth in the back of his mouth, causing his now-famous bucktooth grin. In fact, his nickname growing up was Bucky. Mercury never got his teeth fixed because he was afraid it would ruin his vocals.
At age 14 his family moved to London where he befriended a number of musicians around this time, including future bandmates, drummer Roger Taylor and guitarist Brian May.
Mercury studied graphic art and design at Ealing Art College, graduating with a diploma in 1969. He later used these skills to design heraldic arms for his band Queen.
This is the list of bands he joined before Queen:
- The Hectics
- Ibex
- Sour Milk Sea
In April 1970, Freddie teamed up with Brian May and Roger Taylor to become lead singer of their band Smile. They were joined by John Deacon in 1971. Freddie chose the name "Queen" for the new band and about the same time, he legally changed his surname to Mercury.
Although Freddie first started developing "Bohemian Rhapsody" in the late 1960s, he and the band ended up producing it years later in 1975. In an interview during the band's Australian tour early in 1985, Mercury explained, "It was basically three songs that I wanted to put out and I just put the three together."
At the beginning, the critical reception was mixed, but has since become one of the most revered in popular music history.
In 1985 one of Freddie's most notable performances with Queen took place at Live Aid. I was even voted by a group of music executives as the greatest live performance in the history of rock music.
On , Freddie confirmed that he was tested HIV-positive and had AIDS. The next day, he died at his London mansion at age 45.
In 2018 the movie Bohemian Rhapsody was released to honor Freddie Mercury's memory.


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Up to four numbers to display as quick-dial buttons on the driving screen.
Text message (SMS) reply to send when you receive an incoming text or call.
When to send notification emails and who to send them to.


In this step-by-step tutorial we create a simple MDN Breakout game written entirely in pure JavaScript and rendered on HTML5 Canvas. Every step has editable, live samples available to play with so you can see what the intermediate stages should look like. You will learn the basics of using the Canvas element to implement fundamental game mechanics like rendering and moving images, collision detection, control machanisms, and winning and losing states.
To get the most out of this series of articles you should already have basic to intermediate JavaScript knowledge. After working through this tutorial you should be able to build your own simple Web games.
Starting with pure JavaScript is the best way to get a solid knowledge of web game development. After that, you can pick any framework you like and use it for your projects. Frameworks are just tools built with the JavaScript language; so even if you plan on working with them, it's good to learn about the language itself first to know what exactly is going on under the hood. Frameworks speed up development time and help take care of boring parts of the game, but if something is not working as expected, you can always try to debug that or just write your own solutions in pure JavaScript.
You can visit the GitHub repository of this tutorial to get the source code of all the lessons.


Expression of forkhead transcriptional factor homolog (FKH 5–3, A) and titin (B) in congenital cholesteatoma, as detected with immunohistochemistry. Both proteins were well-expressed in cholesteatoma matrix. Negative controls (C, D) are also shown for comparison.


The DeclareDesign package has a small set of core functions. Six core functions are used to describe key steps in a research design:
declare_population()
(describes dimensions and distributions over the variables in the population)declare_potential_outcomes()
(takes population or sample and adds potential outcomes produced by interventions)declare_sampling()
(takes a population and selects a sample)declare_assignment()
(takes a population or sample and adds treatment assignments)declare_estimand()
(takes potential outcomes and calculates a quantity of interest)declare_estimator()
(takes data produced by sampling and assignment and returns estimates)Each of the declare_*()
functions returns a function. The function declare_design()
can take any of these six functions, plus any R function that takes data and returns data.
Once you have declared your design, there are six core post-design-declaration commands used to modify or diagnose your design:
modify_design()
(takes a design and a set of modifications, returns a design)diagnose_design()
(takes a design, returns simulations and diagnosis)compare_designs()
(takes a list of designs and diagnoses them all)draw_data()
(takes a design and returns a single draw of the data)get_estimates()
(takes a design a returns a single simulation of estimates)get_estimands()
(takes a design a returns a single simulation of estimands)There are a few other features:
N
) and returns a design. fill_out()
is a function of a template and parameters that returns a design.declare_diagnosands()
, which are things like power and bias, but the package defaults to the usual suspects.reveal_outcomes()
implements a general switching equation, which allows you to reveal outcomes from potential outcomes and a treatment assignment.Design declaration is achieved by possibly repeated application of some or all of the declaration functions. We describe the six core functions in turn.
The function declare_population()
can be used to define a single-level or multilevel population. The output is another function that produces a dataframe with possibly multiple background variables drawn.
When creating a single level population the only privileged name is N
, which is used to denote the size of the population. After this, declaration proceeds using existing R functions plus some tailored functions developed as part of DeclareDesign.
Here is an illustration of declare_population()
being used to create a single level dataset:
my_population <-
declare_population(N = 1000,
income = rnorm(N),
age = sample(18:95, N, replace = TRUE))
pop <- my_population()
head(pop)
| ID | income | age |
|---|---|---|
| 0001 | 1.37 | 95 |
| 0002 | -0.56 | 52 |
| 0003 | 0.36 | 72 |
| 0004 | 0.63 | 87 |
| 0005 | 0.40 | 83 |
| 0006 | -0.11 | 75 |
Multi-level datasets are also easy to produce. For multilevel data you set the N
of each level in a call to level()
. The add_level()
function is intelligent – if the previous level has data, it merges so that there are N entries for each of the units at the higher level. declare_population()
can handle non-fixed number of units at each level too. In the example below, we have drawn a random number of individuals that are in each village (see the individuals
line).
my_population_nested <- declare_population(
districts = add_level(N = 25, urban = sample(0:1, N, replace = TRUE)),
villages = add_level(N = 10, altitude = rnorm(N)),
individuals = add_level(N = sample(100:200, size = 250, replace = TRUE),
income = rnorm(N),
age = sample(18:95, N, replace = TRUE)))
In this example there are 25 districts, 10 villages per districts, and then between 100 and 200 individuals per village. The function creates districts first, then merges in villages, then merges in individuals using ID variables created at the level above it.
Within those levels, you can add in existing data (and also add new variables to them if you wish):
region_data <- data.frame(capital = c(1, 0, 0, 0, 0))
pop_level_data <- declare_population(
regions = add_level(N = 2, gdp = runif(N)),
cities = add_level(N = 2, subways = rnorm(N, mean = 5)))
head(pop_level_data())
| regions | gdp | cities | subways |
|---|---|---|---|
| 1 | 0.63 | 1 | 5.9 |
| 1 | 0.63 | 2 | 3.8 |
| 2 | 0.76 | 3 | 6.0 |
| 2 | 0.76 | 4 | 2.9 |
Similarly, you can easily declare your existing data as the population:
country_data <- data.frame(
cow_code = c(504, 15, 100, 90),
polity_iv = c(-9, 7, -1, 3))
pop_data <- declare_population(data = country_data)
head(pop_data())
| cow_code | polity_iv |
|---|---|
| 504 | -9 |
| 15 | 7 |
| 100 | -1 |
| 90 | 3 |
If you don’t want your data to be fixed, you can resample from it, i.e.
pop_data_bootstrap <- declare_population(
data = country_data, handler = fabricatr::resample_data)
head(pop_data_bootstrap())
| cow_code | polity_iv |
|---|---|
| 100 | -1 |
| 504 | -9 |
| 90 | 3 |
| 90 | 3 |
Note that fabricatr is one of the helper packages that come along with DeclareDesign. fabricatr helps you simulate population data or resample from existing data.
A declare_potential_outcomes()
declaration also returns a function. That function takes data and returns data with potential outcomes columns appended. There are two ways of declaring potential outcomes, either as a formula or as separate variables (as in declare_population()
).
my_potential_outcomes <- declare_potential_outcomes(
formula = Y ~ .25 * Z + .01 * age * Z)
pop_pos <- my_potential_outcomes(pop)
head(pop_pos)
| ID | income | age | Y_Z_0 | Y_Z_1 |
|---|---|---|---|---|
| 0001 | 1.37 | 95 | 0 | 1.20 |
| 0002 | -0.56 | 52 | 0 | 0.77 |
| 0003 | 0.36 | 72 | 0 | 0.97 |
| 0004 | 0.63 | 87 | 0 | 1.12 |
| 0005 | 0.40 | 83 | 0 | 1.08 |
| 0006 | -0.11 | 75 | 0 | 1.00 |
This has defaults set for conditions (0, 1) and the assignment variable name (Z). You can set the “domain” of the potential outcomes function with conditions
.
my_potential_outcomes <- declare_potential_outcomes(
formula = Y ~ .25 * Z + .01 * age * Z,
conditions = 1:4)
head(my_potential_outcomes(pop))
| ID | income | age | Y_Z_1 | Y_Z_2 | Y_Z_3 | Y_Z_4 |
|---|---|---|---|---|---|---|
| 0001 | 1.37 | 95 | 1.20 | 2.4 | 3.6 | 4.8 |
| 0002 | -0.56 | 52 | 0.77 | 1.5 | 2.3 | 3.1 |
| 0003 | 0.36 | 72 | 0.97 | 1.9 | 2.9 | 3.9 |
| 0004 | 0.63 | 87 | 1.12 | 2.2 | 3.4 | 4.5 |
| 0005 | 0.40 | 83 | 1.08 | 2.2 | 3.2 | 4.3 |
| 0006 | -0.11 | 75 | 1.00 | 2.0 | 3.0 | 4.0 |
The second way is to define each potential outcome yourself. This bakes in the condition names and assignment variable.
my_potential_outcomes <-
declare_potential_outcomes(
Y_Z_0 = .05,
Y_Z_1 = .30 + .01 * age)
head(my_potential_outcomes(pop))
| ID | income | age | Y_Z_0 | Y_Z_1 |
|---|---|---|---|---|
| 0001 | 1.37 | 95 | 0.05 | 1.25 |
| 0002 | -0.56 | 52 | 0.05 | 0.82 |
| 0003 | 0.36 | 72 | 0.05 | 1.02 |
| 0004 | 0.63 | 87 | 0.05 | 1.17 |
| 0005 | 0.40 | 83 | 0.05 | 1.13 |
| 0006 | -0.11 | 75 | 0.05 | 1.05 |
A sampling function takes data and returns a sampled subset of the data. By default, declare_sampling()
understands arguments passed to ...
as randomizr arguments, but it’s easy to supply your own function instead.
Here we declare simple random sampling of 250 units.
my_sampling <- declare_sampling(n = 250)
smp <- my_sampling(pop_pos)
nrow(smp)
250
In more general applications declare_sampling()
can allow for more complex stratified and clustered sampling.
Assignment declarations return functions of data that return data. If you use the randomizr defaults, then it appends to the dataset an assignment draw and a vector of observed probability weights.
Here we declare simple random assignment of 25 units to a binary treatment.
my_assignment <- declare_assignment(m = 25)
smp <- my_assignment(smp)
table(smp$Z)
| 0 | 1 |
|---|---|
| 225 | 25 |
head(smp)
| ID | income | age | Y_Z_0 | Y_Z_1 | S_inclusion_prob | Z | Z_cond_prob | Y | |
|---|---|---|---|---|---|---|---|---|---|
| 5 | 0005 | 0.40 | 83 | 0 | 1.08 | 0.25 | 0 | 0.9 | 0.00 |
| 8 | 0008 | -0.09 | 83 | 0 | 1.08 | 0.25 | 0 | 0.9 | 0.00 |
| 9 | 0009 | 2.02 | 30 | 0 | 0.55 | 0.25 | 0 | 0.9 | 0.00 |
| 15 | 0015 | -0.13 | 18 | 0 | 0.43 | 0.25 | 0 | 0.9 | 0.00 |
| 18 | 0018 | -2.66 | 70 | 0 | 0.95 | 0.25 | 1 | 0.1 | 0.95 |
| 21 | 0021 | -0.31 | 47 | 0 | 0.72 | 0.25 | 1 | 0.1 | 0.72 |
Estimands run on data that includes potential outcomes.
In this example, as in many applications, the estimand is defined as a function of potential outcomes: the average difference between outcomes for each unit when they are in the treatment condition and when they are in the control condition. The information needed to define the estimand is available thanks to the declare_potential_outcomes()
call even though it will in general not be available in datasets used by researchers conducting estimation.
my_estimand <- declare_estimand(ATE = mean(Y_Z_1 - Y_Z_0))
my_estimand(pop_pos)
| estimand_label | estimand |
|---|---|
| ATE | 0.82 |
The only part baked in to DeclareDesign is the naming structure, outcome_assignment_condition. You could write your own potential outcomes function to avoid this (note though that in most cases this would also require writing your own reveal_outcomes()
function).
To declare an estimator, you declare an estimator function, a difference_in_means()
by default. Optionally you also declare an estimand that is attached to the estimator.
smp <- reveal_outcomes(smp)
my_estimator_dim <- declare_estimator(Y ~ Z, estimand = my_estimand)
my_estimator_dim(smp)
| estimator_label | coefficient_name | est | se | p | ci_lower | ci_upper | estimand_label |
|---|---|---|---|---|---|---|---|
| my_estimator | Z | 0.86 | 0.04 | 0 | 0.77 | 0.94 | ATE |
The below example uses our function lm_robust()
, which is a simple, faster drop-in replacement for R
’s built-in lm()
that features robust standard errors (HC2 by default, or your choice of other heteroskedasticity-consistent standard errors):
my_estimator_lm <-
declare_estimator(Y ~ Z,
model = lm_robust,
coefficient_name = "Z",
estimand = my_estimand)
my_estimator_lm(smp)
| estimator_label | coefficient_name | est | se | p | ci_lower | ci_upper | estimand_label |
|---|---|---|---|---|---|---|---|
| my_estimator | Z | 0.86 | 0.04 | 0 | 0.77 | 0.94 | ATE |
Instead of defining your population, potential outcomes, and so on, you simply give us an ordered set of functions, e.g. beginning with a population, then potential outcomes, sampling, and so on. You can also put any R
function in causal order that takes data and returns data – including all the nice functions in dplyr
like mutate()
, to allow you to create new variables and do things like collapse clusters.
Here is an example of a design declaration:
design <- declare_design(my_population,
my_potential_outcomes,
my_estimand,
my_sampling,
my_assignment,
reveal_outcomes,
my_estimator_dim)
Remarks re: declare_design()
:
declare_design()
produces two things: a “dgp function” and a “design function.” The dgp function draws a dataset and the design function returns an estimands dataframe and an estimates data frame. It simulates the design from population through estimates, in whatever order you tell it – meaning it carefully separates the data generating parts of the design and the calculation of estimates and estimands.You can run them directly via:
dat <- draw_data(design)
head(dat)
| ID | income | age | Y_Z_0 | Y_Z_1 | S_inclusion_prob | Z | Z_cond_prob | Y | |
|---|---|---|---|---|---|---|---|---|---|
| 2 | 0002 | -2.49 | 57 | 0.05 | 0.87 | 0.25 | 0 | 0.9 | 0.05 |
| 4 | 0004 | -1.42 | 59 | 0.05 | 0.89 | 0.25 | 0 | 0.9 | 0.05 |
| 11 | 0011 | 0.64 | 61 | 0.05 | 0.91 | 0.25 | 0 | 0.9 | 0.05 |
| 18 | 0018 | 0.49 | 65 | 0.05 | 0.95 | 0.25 | 0 | 0.9 | 0.05 |
| 20 | 0020 | 0.95 | 46 | 0.05 | 0.76 | 0.25 | 0 | 0.9 | 0.05 |
| 25 | 0025 | 0.01 | 33 | 0.05 | 0.63 | 0.25 | 0 | 0.9 | 0.05 |
and
get_estimates(design)
| estimator_label | coefficient_name | est | se | p | ci_lower | ci_upper | estimand_label |
|---|---|---|---|---|---|---|---|
| my_estimator | Z | 0.81 | 0.05 | 0 | 0.72 | 0.91 | ATE |
get_estimands(design)
| estimand_label | estimand |
|---|---|
| ATE | 0.81 |
Next, we recommend you read the Custom functions tutorial to learn how to provide custom functions to replace any step of declare_design()
. You can also read about fill_out()
and other advanced features in our Advanced features tutorial.
Finally, you can learn about DeclareDesign’s companion packages.


Getting to know me...
My name is Andrew Enyeart and I was born in Indiana, but we moved to Hawaii when I was two, then several other states after that. Washington State has been home for 19 years! I've taken some intro programming courses before, but my degree is in Linguistics, and my field of greatest expertise is actually cocktail bartending. One of my current goals is to get at least three weight-lifting sessions in per week while doing Code Fellows!
Work & Education
- Math and ESL tutor
- Barista
- Bartender
- Firefighter/EMT
- B.A. Linguistics, University of Washington
- Code Fellows (pending)


A quick example for the use of the Picture-in-Picture API
Picture-in-Picture
Picture-in-Picture mode not available
Events


AP source: FBI has asked for interview with whistleblower
WASHINGTON (AP) — The FBI has requested an interview with the whistleblower whose complaint fueled the impeachment inquiry into President Donald Trump and Ukraine.
That’s according to a person familiar with the situation, who insisted on anonymity to discuss the FBI’s request with The Associated Press.
An agent from the FBI’s Washington field office reached out to the whistleblower’s lawyers last month to seek an interview about the substance of the complaint.
The person said it was clear from the FBI that the whistleblower was not regarded as the target of any investigation but rather a potential witness. It’s not immediately clear what specifically the FBI might be looking into.
Spokespeople for the FBI did not immediately return a message seeking comment Wednesday.
Yahoo News first reported the FBI’s request.


Transition callback for the image switch.
Current image before the transition
Next image to be shown
Current image switch options
true
if switching the next, false
if switching to the previous element.
Transition callback for the image switch
Current image before the transition
Next image to be shown
Current image switch options
true
if switching the next, false
if switching to the previous element.
Callback invoked when the slideshow terminates (use with autostop or nowrap options)
Current image switch options
Function used to control the transition
Current image before the transition
Next image to be shown
Current image switch options
Callback that should be invoked once the transition to the next element is complete.
true
if switching the next, false
if switching to the previous element.
Callback fn for pager events
0-based index of the current image.
Element that need to be slided.
Callback when switching to the next or previous image (prev/next events).
true
if switching to the next image, false
if switching to the previous image.
Element that need to be slided.
Callback for determining per-slide timeout value
Current image before the transition
Next image to be shown
Current image switch options
true
if switching the next, false
if switching to the previous element.
Number in milliseconds for the next timeout.
Callback fn invoked to update the active pager link (adds/removes activePagerClass style)
Generated using TypeDoc
Namespace for the JQuery Cycle plugin, accessible via
$.fn.cycle
. It is used by theImageSwitch
widget.This namespace contains several required interfaces and types.


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Consultation outcome
Ref: Ofqual/16/6044 PDF , 93KB , 10 pages
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PDF , 198KB , 31 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
Ref: Ofqual/16/6045 PDF , 120KB , 14 pages
If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email<EMAIL_ADDRESS>. Please tell us what format you need. It will help us if you say what assistive technology you use.
We set out our decisions in the attached document. These decisions follow on from those taken at the end of May 2016 and reflect the findings of the consultation on changes to regulations for enquiries and appeals
We have listened carefully to the views submitted and have decided that, in particular:
We have also decided to defer decisions in a number of areas to a later date. These include:
We are continuing to gather evidence in relation to the impact of these requirements. In all cases we have put in place Conditions that will allow us to implement our decisions at a later date. We will consult further on any revisions to these Conditions as necessary.
There were 19 responses to this consultation. We also received one submission which did not follow the structure of the consultation document, but made a number of specific points.
This consultation ran from
to
We are seeking views on how we propose to implement changes to regulations for reviews of marking, reviews of moderation, and appeals for GCSE, AS and A levels.
Ref: Ofqual/16/6014 PDF , 245KB , 36 pages
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PDF , 408KB , 29 pages
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This follows on from our consultation on Marking reviews, appeals, grade boundaries and Code of Practice .
We announced our decisions and published the analysis of that consultation on 26 May 2016. We are now consulting on the Conditions and guidance we propose to put in place to implement the changes.
There are three areas on which we are now consulting which were not included in our original consultation. These are:
Published: 26 May 2016
Updated: 8 July 2016
From: Ofqual


Files CCore/inc/net/PTPExtra.h CCore/src/net/PTPExtra.cpp
PTP server may provide a variety of functions. Usually they are grouped in services. There is a standard way to encode a PTP service interaction.
The standard list of common types:
typedef uint32 ServiceIdType; typedef uint32 FunctionIdType; typedef uint32 LenType; typedef uint32 BoolType; typedef uint32 FlagType; typedef uint32 ErrorIdType;
ServiceIdType identifies a service.
FunctionIdType specifies a function of a service.
LenType encodes the array data length.
BoolType encodes a boolean value.
FlagType encodes a set of flags.
ErrorIdType encodes a error code, null value means no error.
The list of basic error codes:
const ErrorIdType NoError = 0 ; const ErrorIdType BadInput = 1 ; const ErrorIdType NoFunction = 2 ; const ErrorIdType Exhausted = 3 ; const ErrorIdType Unknown = 4 ;
NoError — no error.
BadInput — the input data are invalid.
NoFunction — the function or service id is invalid.
Exhausted — server has not enough resources to serve the request.
Unknown — any error.
Two common derived types:
struct ServiceFunction { ServiceIdType service_id; FunctionIdType function_id; }; struct Result // if( error_id==NoError ) result follows { ServiceFunction serv_func; ErrorIdType error_id; };
Client info starts from the ServiceFunction header, followed by function arguments. The bigendian byte order is used to encode integral values.
Server info starts from the Result. serv_func field is a copy from the client info. If the error code is null, the result follows after.
If a client info has no proper header (i.g. it is too short), the server cancels transaction.
The file txt/PTPService.txt.cpp contains all of these definitions.
PTPExtra.h defines these entities withing namespace PTP.


{% extends "default.html" %} {% from "components/breadcrumbs/macro.njk" import govukBreadcrumbs %} {% from "components/button/macro.njk" import govukButton %} {% block content %}
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Elizabeth B.-N. Sanders & Pieter Jan Stappers
Elizabeth B.-N. Sanders and Pieter Jan Stappers outline the trend towards co-design
"Designers have been moving increasingly closer to the future users of what they design and the next new thing in the changing landscape of design research has become co-designing with your users."
"The first advances, well consolidated now in industrial practice and education, practiced user-centred design from an ‘expert perspective’ in which trained researchers observe and/or interview largely passive users, whose contribution is to perform instructed tasks and/or to give their opinions about product concepts that were generated by others."
"By co-design we indicate collective creativity as it is applied across the whole span of a design process"
"The application of participatory design practices (both at the moment of idea generation and continuing throughout the design process at all key moments of decision) to very large-scale problems will change design and may change the world."
"Users can become part of the design team as ‘expert of their experiences’ (Sleeswijk Visser et al. 2005), but in order for them to take on this role, they must be given appropriate tools for expressing themselves"
"As researchers we will need to learn how to:
. lead people who are on the ‘doing’ level of
creativity,
. guide those who are at the ‘adapting’ level,
. provide scaﬀolds that support and serve peoples’ need
for creative expression at the
‘making’ level, and
. oﬀer a clean slate for those at the ‘creating’
level"
"In addition to bringing people into the design process in the ways most
conducive to their ability to participate, researchers will need to
bring in applicable domain theories in a way that can be handled by
the co-design team"