 Specializing in Raas-Garba, a traditional dance style that originates
from the Indian state of Gujarat, Ruckus travels yearly performing in some of the nation’s largest
cities and competing in the national circuit . Since its founding in 2003, Raas Ruckus has featured
some of UCSD campus’ most diverse dancers and leaders, consistently assembling a team of talent and
turn-up .


Revature is changing the way the world Hires. We recruit, develop, and deploy the next generation of technology talent. Contact us today.


{% extends 'apidoc.html' %} {% block title %}Tile5 API Documentation{% endblock %} {% block api %}
The T5.Tiling module defines classes and functionality required to take the graphical functionality implemented by Graphics.View and Graphics.ViewLayer and turn those into useful tiling displays.


{% trans 'Delegates' %}
{% blocktrans %}Lecturers can assign delegates to help them with the preparation of the evaluation.{% endblocktrans %}
{% if user.is_editor %}
{% blocktrans %}You can assign your own delegates on your settings page.{% endblocktrans %}
{% endif %}
{% if delegated_courses %}
{% blocktrans %}Courses from lecturers who set you as a delegate are marked with a label below.{% endblocktrans %}
{% endif %}
{% trans 'More details:' %} {% trans 'FAQ/Delegates' %}
{% trans 'States of the courses' %}
{% blocktrans %}You can only edit courses which are in the state "prepared". After you approved a course it will automatically change to the state "lecturer approved" and your preparation is finished.{% endblocktrans %} {% trans 'More details:' %} {% trans 'FAQ/States' %}
{% trans 'Evaluation Results' %}
{% blocktrans %}The student's comments will be shown to the people who were evaluated and to the persons responsible for the course – after the grades of all the course's exams have been published. In addition all average grades will then be published for all users of the platform if at least 20 percent of the course's students participated in the evaluation.{% endblocktrans %} {% trans 'More details:' %} {% trans 'FAQ/Results' %}
{% for semester in semester_list %}
{% if semester.courses %}
{{ semester.semester_name }}
{% trans 'Name' %}
{% trans 'State' %}
{% trans 'Evaluation period' %}
{% trans 'Participants' %}
{% for course in semester.courses %}
{{ course.name }}
{% include 'course_badges.html' with mode='contributor' %}
{% if course in delegated_courses %}
{% trans 'Delegate' %}
{% endif %}
{{ course.state|statename }}
{{ course.vote_start_datetime }}{% if not course.is_single_result %} – {{ course.vote_end_date }}{% endif %}
{% if course.state == 'in_evaluation' or course.state == 'evaluated' or course.state == 'reviewed' or course.state == 'published' %}
{% include 'progress_bar.html' with done=course.num_voters total=course.num_participants %}


Welcome.
Since the Digital Media and Design (DMD) deals mostly with newly formed and very broad theoretical subjects, people rarely have a preexisting knowledge of what it might contain.
What We Learnt From DMD (WWLFDMD) is an invitation for you to explore these subjects through short articles with examples from DMD and the industry.
Feel free to click around the menu and learn more about what we learnt.


Pizza Place
List of orders:
0$
Finish Order
Meat Deluxe
Add to Cart
30
$
List of Ingredients:
Crust
Cheese
Beef
Chicken
Add Ingredient
Done
Total:
900
ksh
Veggie
Add to Cart
20
$
List of Ingredients:
Crust
Cheese
Spinach
Tomato
Add Ingredient
Done
Total:
750
ksh
Chicken Tikka
Add to Cart
25
$
List of Ingredients:
Crust
Cheese
Onions
Chicken
Add Ingredient
Done
Total:
850
ksh
Your Orders:
Order!
Thank you for the order
We will have it delivered soon


Home
FastStart at the UC Riverside School of Medicine
FastStart is a five-week, intensive program that provides about 24 first-year UC Riverside students with the knowledge and skills needed to have a successful start in their college education. Offered exclusively to incoming first-year UCR students from disadvantaged backgrounds who aspire towards a medical or science-based career, the program consists of classes, workshops and activities that provide students with the foundation that will help them maximize their collegiate experience.
This year, FastStart will take place from Sunday, June 26 through Friday, July 29, 2016.
FastStart Supporters
The program is generously funded by the Shirinian/Kaloostian Fund for Disadvantaged Students, the Kaiser Permanente Community Benefit Grants Program, and the UCR School of Medicine.
Contact Us
Have a question or comment? Program Coordinator Rachell Enriquez can be reached by e-mail at<EMAIL_ADDRESS>or by phone at<PHONE_NUMBER>.


LIMITATIONS OF SPECIAL PRIVILEGES
Section 21. The power of the State to act in the general welfare shall never be impaired by the making of any irrevocable grant of special privileges or immunities. [Ren and am Const Con 1978 and election Nov7, 1978]


TWELFTH NIGHT A film review by Scott Renshaw Copyright 1996 Scott Renshaw
Grade: B // Worth a Matinee
(Fine Line)
Director: Trevor Nunn. Screenplay: Trevor Nunn, based on the play by William Shakespeare. Director of Photography: Clive Tickner. Producers: Stephen Evans, David Parfitt. Starring: Imogen Stubbs, Helena Bonham Carter, Toby Stephens, Nigel Hawthorne, Ben Kingsley, Mel Smith, Richard E. Grant, Imelda Staunton, Stephen Mackintosh.
MPAA Rating: PG (adult themes) Running Time: 125 minutes.
Reviewed by Scott Renshaw.
There is a sub-category of Shakespeare's comedies referred to by scholars as the "problem plays," and thought TWELFTH NIGHT is not technically one of them, it is rather problematic in its own right. Though primarily a farcical tale of confused romance, mistaken identity and sexual politics, TWELFTH NIGHT also includes a sub-plot in which a character is humiliated, imprisoned as a lunatic and released to vow his revenge on his persecutors. Trevor Nunn's adaptation of the play retains that sub-plot, which makes the film quite faithful. At the same time, it is only that dark business in an otherwise bright and breezy film which prevents TWELFTH NIGHT from being as successful at traditional Shakespeare as WILLIAM SHAKESPEARE'S ROMEO AND JULIET was successful at the un-traditional.
The central plot of TWELFTH NIGHT involves a woman named Viola (Imogen Stubbs) who survives a shipwreck which apparently claims the life of her twin brother Sebastian (Stephen Mackintosh). Stranded in the unfriendly nation of Illyria, Viola disguises herself as a boy named Cesario to go into the service of the Duke Orsino (Toby Stephens). Viola is then given the task of wooing the beautiful Olivia (Helena Bonham Carter) on Orsino's behalf, but not only is Olivia unreceptive to Orsino's suit, she falls in love with the messenger she believes to be a boy. Viola, meanwhile, has fallen for Orsino, creating a rather unique romantic triangle. To complicate matters further, Sebastian turns up alive, resulting in no end of confusion.
It is easy to turn TWELFTH NIGHT into a rather trivial farce, if an entertaining one, but Nunn has opted for a surprisingly sensitive rendering of the tale. Imogen Stubbs is an appealing Viola whose unrequited love is a source of both pain and frustration, and her defense of the depth of a woman's love is given a confident strength. Perhaps most unconventional is Nunn's choice of making the reunion between Viola and Sebastian the emotional climax of the film rather than the joining of any pair of lovers, yet it works thanks to a carefully established prologue and the restrained work of Stubbs. Helena Bonham Carter is simply wonderful as Olivia -- smart, sexy, seductive and _very_ funny -- leaving a somewhat stiff Toby Stephens as the only squeaky wheel in an otherwise smooth, clockwork romantic comedy.
The more broadly comic secondary plot involves the machinations of Olivia's drunken uncle Sir Toby Belch (Mel Smith) and her maid Maria (Imelda Staunton) against the fussy, dour steward Malvolio (Nigel Hawthorne of THE MADNESS OF KING GEORGE). The scheme involves persuading Malvolio that Olivia loves him, inspiring him to uncharacteristic behavior which eventually lands him in a madhouse, and the set-up for that scheme presents Hawthorne with some priceless comic moments. Hawthorne is an actor with a remarkable range, which results in the curious case of him pitching portions of his performance in a way which makes Malvolio too sympathetic. A scene in which the fool Feste (a wry, philosophical Ben Kingsley) impersonates a cleric to further taunt the imprisoned Malvolio should be simply amusing, but Hawthorne seems so genuinely confused and tormented that his comeuppance seems dreadfully unfair. When he interrupts the revelry of the united lovers to swear his vengeance upon those who tricked him, it truly spoils the festive mood. It is an unusual instance where a less accomplished actor, who might have played the role quite broadly, might also have maintained a lighter tone.
TWELFTH NIGHT may be uneven, but is still largely appealing, thanks to the talented cast and the unique design of the film. The locations in Cornwall allow for some marvelous, liberating exteriors, and the late 18th century settings and costumes allow Nunn to balance TWELFTH NIGHT on the border between period piece and contemporary romance. Kingsley and Smith make particularly inspired choices for their roles, lending humor both subtle and expansive, and Richard E. Grant is a perfect dim-witted fop as Sir Andrew Aguecheek. Trevor Nunn's direction is unexpectedly restrained in small moments between Viola and Orsino given Nunn's recent history staging massive stage productions like CATS and LES MISERABLES, but his over 25 years as director of the Royal Shakespeare Company have not been forgotten so easily. TWELFTH NIGHT is a problematic play, but Nunn has served it well, making it a revel with a dark side that can't eclipse the bright.
On the Renshaw scale of 0 to 10 days of Christmas: 7.
Receive Scott Renshaw's reviews directly via email from Marquee! Visit http://www.marquee.com/marquee-mailinglists.html for details. Visit Scott Renshaw's MoviePage http://www-leland.stanford.edu/~srenshaw
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


Daniel Pettersson @DanielPettersso<EMAIL_ADDRESS>John Resig - Simple JavaScript Inheritance
Monkey & Crow - Drawing Lines with CSS3
Twitter - Bootstrap
jQuery Foundation - jQuery and jQuery UI
Google - Webfonts
Kripken (Alon Zakai) - Speak.js
g200kg - WAAPISim
Seems your browser has no support for Web Audio. Try with a recent Chrome, or maybe Safari or some other Webkit based browser.
This is kind of a toy or explorer thingy which lets you play with Web Audio API. It can play, record and generate audio and apply different kinds of effects.
To get you started, a file node and output is created right away. Just drag and drop a Audio file (mp3, ogg or whatever) from your computer to the file node.
Then to get sound out of the speaker, drag the right handle of the file node to the left handle of the output. And voila, there should be sounds coming out of your speakers.
But the fun starts when you connect together a combination of nodes. So you can really make your music sound bad or just create some strange sounds.
When you have created some cool effect. Use the Save, Load & Share buttons to save it locally or share it with the world.
You can play it with your keybord using the ZSXDCVGBHNJMQ2W3ER5T6Y7U keys.


{% extends "layout.html" %} {% block content %}
Use this site to keep track of your awesome food creations!
{% if current_user and current_user.is_authenticated %}
You have not uploaded any food images yet. Click the button below to get started!
Add Dish
{% else %}
Looks like no one has uploaded any food images yet.
You can be the first!
Login or register to get started.
{% endif %}


HTTP/2
The web of future
Vahe Evoyan
/
@evoyan
evoyan.org/http2-barcamp/
vahe-evoyan.github.io/http2-presentation/
Why HTTP/2?
HTTP 1.0
1995
SO WHAT ABOUT US?
THANKS!


'Earlier this year, Komodo integrated Dilithium quantum secure digital signatures to the Antara Framework. Every project that builds a Smart Chain with Komodo has the option to activate the Dilithium module for complete quantum security.' by cyger
September 23, 2019 at 12:47PM


Services may be canceled at any time, but we will not provide refunds for the rest of the billing cycle that has already been payed for.
A paypal chargeback will result in your account being locked, immediate suspension of product/service and action will be taken. Please contact staff members for any opportunities for partial or full refunds.
We offer refunds within 24 hours of purchase.
We will also give refunds if your website is offline for over 12 hours.
We reserve the right to suspend any service that abuses their purchase in ways including, but not limited to, hosting illegal content, spam or DDOS attacks.
All products should be automatically setup within 5 minutes of purchase. If a package takes longer than 12 hours to set up we will issue a full refund.
We are not responsible for protecting your data. We take weekly backups every tuesday. We are not held responsible for any data losses.
We reserve the right to change this document at any time. We will notify all clients via email and discord if we change the T.O.S.


Technical Booklets 2012
-
Materials and workmanshipTechnical Booklet B
-
Site preparation and moistureTechnical Booklet C
-
StructureTechnical Booklet D
-
Fire SafetyTechnical Booklet E
-
Conservation of fuel and power in dwellingsTechnical Booklet F
-
Resistance to the passage of soundTechnical Booklet G
-
Stairs, ramps, guarding and protection from impactTechnical Booklet H
-
Solid waste in buildingsTechnical Booklet J
-
VentilationTechnical Booklet K
-
Combustion appliances and fuel storage systemsTechnical Booklet L
-
DrainageTechnical Booklet N
-
Sanitary appliancesTechnical Booklet P
-
Access to and use of buildingsTechnical Booklet R
-
GlazingTechnical Booklet V


AJ Hotel
At AJ Hotel, we have one of the most comfortable, exquisite and affordable rooms.
Our location is at the very heart of three major roads, making it very easy for you and your guests to get to your room as soon as you desire.
No doubt that our hotel was built with your convenience at heart.


This is a angular single page app that works with my node server for serving out my Dairy entries
Purpose:
Easily add work that I have done daily
Reason:
Doing it as my second Angular side project to get a better understanding of the MEAN stack and my memory is bad
Future plans:
To save entries to Google sheets
Text Editor:
Sublime Text 3
Node Packages:
bcrypt-nodejs
body-parser
express
gulp
gulp-nodemon
mongoose
Frameworks:
Bootstrap
AngularJS
Browser:
Chrome
Operating System:
Windows 10


There was a really interesting YC blog post titled "Ask a Female Engineer: How Can Managers Help Retain Technical Women on Their Team?", which asks a panel of female technical employees on reasons they left jobs or in some cases even change their career paths.
I believe it has some really important takeaways not just for managers of technical teams, but all managers and all employees of whetever gender.
I’ve left companies after years of chaotically fighting fires while simultaneously needing to build new features, or after repeatedly getting disorganized braindumps or single line descriptions from stakeholders rather than the thoughtful, detailed specs they’ve promised.
This is something I've had to deal with personally as well: underspecification, or the people in charge not really knowing what they want. Rewriting code to fit their latest whim or fancy is wasteful and makes you feel like your project is going nowhere. Also, scope creep.
Making sure your team members have a comfortable relationship with someone in leadership outside their reporting chain is important; having someone who they feel they can go to with manager-related problems is key.
As the recent Susan Fowler/Uber debacle showed, though, upper leadership tends to favour the manager's side over the employee's.
Especially as a woman, I worry about being labeled hyper-sensitive, or that my gender will influence a person’s reaction to my feedback (e.g. the perception that women are hysterical). If a company’s leadership feels too tightly knit – where all the managers and founders are friends that aren’t open to critical feedback from employees – I won’t even try to work out the issue before leaving.
See: the Uber thing above.
And finally, this gem:
That employee shouldn’t have to train their boss in order to make the relationship productive.
On finding a new job:
I might see an email from a recruiter about a job that sounds exciting and that pays well. I’ll start to consider leaving, and then someone I work with – usually my boss or manager – does something that makes me angry.
Or deciding to stay:
It’s important that my boss checks in with me even if I seem happy or like I’m doing really well. I don’t want to be asked for feedback only when things aren’t going well. When my boss respectfully listens to feedback and strives to incorporate at least some of it, I’m much more likely to stay at a company.
On working at a startup:
At a startup it can be hard to decipher whether your company is doing well, especially since progress isn’t always in a continuous, upward direction. As an employee, you’re not always privy to important information that would help you figure it out, especially if the company is struggling. I’ve often felt that trying to determine how well my company is doing is a guessing game. So then I turn to assessing my personal growth because that’s in theory more straight-forward. I ask myself questions like: How much have I learned? Do I get feedback? Am I challenged? What else can I accomplish here? If I can get excited about what’s next for me at a company, I will stay. If I can mix things up enough and learn new things where I am without actually finding a new job, I will do that.
Anyway, the full blog post is really interesting and a must-read for both managers and employees.


Keydown:
Keydown fires when you press a key.
Keyup:
Keypress:
Keypress fires after the keydown event.
Previous Value:
In a keypress event, the Unicode value of the key pressed is stored in either the keyCode or charCode property, never both. If the key pressed generates a character (e.g. 'a'), charCode is set to the code of that character, respecting the letter case. (i.e. charCode takes into account whether the shift key is held down). Otherwise, the code of the pressed key is stored in keyCode.
charCode is never set in the keydown and keyup events. In these cases, keyCode is set instead.
To get the code of the key regardless of whether it was stored in keyCode or charCode, query the which property.
This is the regular expression that I may try to use... [0-9]{0,3}\.{1}?[0-9]{0,2}


At this point in time your answers are similar to someone who is in business.
Please come back and use the tool again if things change.
It's a myth that there is a dollar threshold to be in a business. Some people can have very expensive hobbies! What matters is whether, as a whole, your activity is commercial with an aim to make a profit. Once you're in business, there are dollar thresholds that can affect your tax obligations.
Based on your answers, here’s a list of government obligations for business that you should be aware of.


Aldi overcharged couple £40 and left them feeling humiliated
They were made to unpack their shopping to prove the didn't have the portable gas grill Aldi had charged them for
by Kelly Williams, Max ChannonA couple who queried their shopping bill discovered they had been charged nearly £40 for an item they hadn't bought.
And, adding insult to injury, they say they were left feeling "embarrassed and humiliated" when they were made to empty their shopping bags to prove they didn't have the portable gas grill they'd been incorrectly charged for.
Daniel and Pamela Murray popped into the Aldi store at Marina Quay, in Rhyl, North Wales, for a few items, but were stunned when their bill came to over £66, reports North Wales Live.
When they questioned it, they claim the cashier told them she had scanned everything they had and that was the total.
So the pair from Rhyl, who are both in their 60s asked for a receipt to be printed and discovered they'd been charged £39.99 for a portable gas grill they hadn't even bought.
The manager was called and they were made to unpack their shopping in front of a queue of customers.
Speaking to North Wales Live, Daniel said: "We'd only popped in for a few things and there was only one till open at the time.
"We loaded our items onto the belt but we got a shock when the cashier told us the bill was £66.
"I said: 'That can't be right, we've only got two carrier bags.'
"I asked her to print a receipt and it was showing £39.99 for a portable gas grill we hadn't even bought.
"The manager and a security guard was called over and we had to unpack all our shopping so they could check the item wasn't there.
"By this time a big queue was forming and we felt so embarrassed and humiliated. We didn't even get an apology."
Daniel said the £39.99 was eventually deducted with their real bill only coming to £26.
He added: "After the incident I decided to write a letter to the store to say I wasn't happy with how the matter had been handled having not been given an apology.
"I also wanted to warn them that maybe something had been coded up wrong, in case this happens to someone else who might not notice being overcharged before it's too late.
"How would people who've left the store prove they hadn't bought it?
"Anyway, I didn't get any response to my letter, nor to a further email that was sent to the Aldi head office.
"We don't want anything, we just don't think it's very good customer service."
An Aldi spokesman said: "We have apologised to the family for their experience at the Rhyl store.”


No slots created for this project.
Date
Phase
Info
Places
{{s.date | date:'longDate'}}
{{s.phaseName}}
{{s.info}}
{{s.capacity}}
Participant who reserved this interview will have to reschedule.
Date:
Specify the time and other details
Capacity:


Generating SQL Scripts (a.k.a. “Offline Mode”)¶
A major capability of Alembic is to generate migrations as SQL scripts, instead of running
them against the database - this is also referred to as offline mode.
This is a critical feature when working in large organizations
where access to DDL is restricted, and SQL scripts must be handed off to DBAs. Alembic makes
this easy via the --sql
option passed to any upgrade
or downgrade
command. We
can, for example, generate a script that revises up to rev ae1027a6acf
:
$ alembic upgrade ae1027a6acf --sql
INFO [alembic.context] Context class PostgresqlContext.
INFO [alembic.context] Will assume transactional DDL.
BEGIN;
CREATE TABLE alembic_version (
version_num VARCHAR(32) NOT NULL
);
INFO [alembic.context] Running upgrade None -> 1975ea83b712
CREATE TABLE account (
id SERIAL NOT NULL,
name VARCHAR(50) NOT NULL,
description VARCHAR(200),
PRIMARY KEY (id)
);
INFO [alembic.context] Running upgrade 1975ea83b712 -> ae1027a6acf
ALTER TABLE account ADD COLUMN last_transaction_date TIMESTAMP WITHOUT TIME ZONE;
INSERT INTO alembic_version (version_num) VALUES ('ae1027a6acf');
COMMIT;
While the logging configuration dumped to standard error, the actual script was dumped to standard output - so in the absence of further configuration (described later in this section), we’d at first be using output redirection to generate a script:
$ alembic upgrade ae1027a6acf --sql > migration.sql
Getting the Start Version¶
Notice that our migration script started at the base - this is the default when using offline
mode, as no database connection is present and there’s no alembic_version
table to read from.
One way to provide a starting version in offline mode is to provide a range to the command line.
This is accomplished by providing the “version” in start:end
syntax:
$ alembic upgrade 1975ea83b712:ae1027a6acf --sql > migration.sql
The start:end
syntax is only allowed in offline mode; in “online” mode, the alembic_version
table is always used to get at the current version.
It’s also possible to have the env.py
script retrieve the “last” version from
the local environment, such as from a local file. A scheme like this would basically
treat a local file in the same way alembic_version
works:
if context.is_offline_mode():
version_file = os.path.join(os.path.dirname(config.config_file_name), "version.txt")
if os.path.exists(version_file):
current_version = open(version_file).read()
else:
current_version = None
context.configure(dialect_name=engine.name, starting_rev=current_version)
context.run_migrations()
end_version = context.get_revision_argument()
if end_version and end_version != current_version:
open(version_file, 'w').write(end_version)
Writing Migration Scripts to Support Script Generation¶
The challenge of SQL script generation is that the scripts we generate can’t rely upon
any client/server database access. This means a migration script that pulls some rows
into memory via a SELECT
statement will not work in --sql
mode. It’s also
important that the Alembic directives, all of which are designed specifically to work
in both “live execution” as well as “offline SQL generation” mode, are used.
Customizing the Environment¶
Users of the --sql
option are encouraged to hack their env.py
files to suit their
needs. The env.py
script as provided is broken into two sections: run_migrations_online()
and run_migrations_offline()
. Which function is run is determined at the bottom of the
script by reading EnvironmentContext.is_offline_mode()
, which basically determines if the
--sql
flag was enabled.
For example, a multiple database configuration may want to run through each
database and set the output of the migrations to different named files - the EnvironmentContext.configure()
function accepts a parameter output_buffer
for this purpose. Below we illustrate
this within the run_migrations_offline()
function:
from alembic import context
import myapp
import sys
db_1 = myapp.db_1
db_2 = myapp.db_2
def run_migrations_offline():
"""Run migrations *without* a SQL connection."""
for name, engine, file_ in [
("db1", db_1, "db1.sql"),
("db2", db_2, "db2.sql"),
]:
context.configure(
url=engine.url,
transactional_ddl=False,
output_buffer=open(file_, 'w'))
context.execute("-- running migrations for '%s'" % name)
context.run_migrations(name=name)
sys.stderr.write("Wrote file '%s'" % file_)
def run_migrations_online():
"""Run migrations *with* a SQL connection."""
for name, engine in [
("db1", db_1),
("db2", db_2),
]:
connection = engine.connect()
context.configure(connection=connection)
try:
context.run_migrations(name=name)
session.commit()
except:
session.rollback()
raise
if context.is_offline_mode():
run_migrations_offline()
else:
run_migrations_online()


Mia'z
Garden Cafe
for unforgettable coffee experience
We are your home in the middle of the city. Take a break from your busy life and have coffee in
the
garden, or while reading a book in the cozy couch. We are also vegan-friendly as we only use
non-dairy milk and cream from soy, cashew, almonds, etc.
Our Coffee
Americano
A strong coffee drink, a mix of espresso and hot water. Php 80.00
Cappuccino
Double espresso shots with steam milk foam. Php 100.00
Cafe Mocha
Chocolate, espresso, milk, and whipped cream. Php 120.00
Contact Us
| Landline: | (02) 123-4321 |
|---|---|
| Mobile: | +63-922-123-4321 |
| Address: | 4321 Kapihan Avenue, Metro Kape, PH |


{% extends 'base.html' %} {% load humanize %} {% block title %} Dashboard {% endblock %} {% load django_bootstrap_breadcrumbs %} {% block breadcrumbs %} {{ block.super }} {% breadcrumb "Dashboard" "dashboard " %} {% endblock %} {% block content %} {% render_breadcrumbs %} {% include 'partials/_alerts.html' %} {% if user.is_authenticated %} {% if user.is_superuser %}
View all the users (Interns and Staff), currently in the system and edit there details.
Add new internship to the system. View all the current internships created.
Manage the internships in the system. change the status of the internships.
Shift the internship topics and subtopics among inernships.
Activate/Deactivate Intern in the system.
View the internships in the system. Edit the topics of the internship.
Manage the data submitted by the Contributors.
View the internship progress.
Add topics and subtopics to the internship.
Assign subtopics to the interns to start the internship.
Activate / Deactivate the intern access
View the interns in the internship progress.
View and Modify your submissions.
Check the overall progress of you expected submissions.


--- layout: post status: publish published: true title: Cubs Will Announce Signing of Kyuji Fujikawa on Friday author: display_name: Corey Fineran login: Corey email<EMAIL_ADDRESS>url: '' author_login: Corey author_email<EMAIL_ADDRESS>wordpress_id: 8023 wordpress_url: http://ivyenvy.com/?p=8023 date: '2012-12-06 18:37:17 +0000' date_gmt: '2012-12-07 00:37:17 +0000' categories: - Relief Pitching - Free Agency tags: - Carlos Marmol - Hanshin Tigers - Kyuji Fujikawa comments: - id: 5555 author: Michael DeRose author_email: '' author_url: '' date: '2012-12-06 18:41:25 +0000' date_gmt: '2012-12-07 00:41:25 +0000' content: 'yes' - id: 5556 author: Ivy Envy author_email: '' author_url: '' date: '2012-12-06 18:53:43 +0000' date_gmt: '2012-12-07 00:53:43 +0000' content: I really don't think the Cubs need a closer. Use Fujikawa and his 3 or 4 pitches and when the Cubs are in a save situation once every 4 or 5 days, let Marmol come out and earn the blown save. - id: 5557 author: Ivy Envy author_email: '' author_url: '' date: '2012-12-06 19:56:51 +0000' date_gmt: '2012-12-07 01:56:51 +0000' content: Imagine what the Cubs could have got for him if they dealt him 2 or 3 years ago. - id: 5558 author: Michael DeRose author_email: '' author_url: '' date: '2012-12-06 21:49:52 +0000' date_gmt: '2012-12-07 03:49:52 +0000' content: "Ryan must be new here lol. I think marmol is done. I think the cubs won't get any solid offers until the season gets underway. I don't see Theo & Co. trading him, unless the Cubs get SOMETHING of value. I would like to think they could get a med/high risk pitcher for him. I just pray they get someone that has control.\nThat being said, if the stars align and some Jedi master can teach marmol pitching control, then I would be happy as hell. I honestly think his arm is injured in some fashion. I sent a few hours just watching his throwing arm slot and release point. When he was the Marmol we knew and loved he would release the ball higher, somewhat close to his body, and just behind his head. Now, he whips his arm around wide of his body and releases lower around his head/neck. \ Oh, and his footwork is different. Old marmol had a long FLUID follow through kick. Shit Marmol has a short jerky leg kick. This matters when it comes to a transfer of force.\nAs many know, I am not a pro pitching coach, but I am studying to be a doctor.  His speed and control are down because he is transferring energy to his entire arm, back, torso, legs, and hips. \ I know the cubs have great doctors, but I have to think that someone with an MD would tell SOMEONE that his new jerky \"closed\" motion is hurting him and his game. \nIf I had to guess, his wrist is what the problem is. Watch how his hand/wrist hold the ball and release it. He is twisting his wrist as he releases. \ To so many words, he is taking all of his built up force and sending it from his legs, to his torso, spine, shoulder, elbow, and wrist. When he turns his wrist like that, he is directing ALL of that force towards/across his body. \ THIS is why I think he throws so many pitches into the dirt and why the moves so much laterally. Lastly, any wrist injury would greatly affect how he holds onto the ball. His ligaments/tendons might just need a rehabilitation program to get them in shape. The best way to describe that is like overused elastic. \ To much give and you lose force there.\nTo sum up my brief essay, I think the cubs need to hire a pitching coach and/or team of kinesiologists just for Marmol and the other guys that have had control issues or pitching injuries. The Cubs aren't spending a ton of money right now and True Cubs fans will know this season will be bleak. Why not go and spend some cash on this type of thing. Hell in other sports, teams have people put players in green suits with little balls to record movement.\n~Rant over...  Which player/manager would you like to see? - id: 5561 author: Matt Veto author_email: '' author_url: '' date: '2012-12-07 08:57:26 +0000' date_gmt: '2012-12-07 14:57:26 +0000' content: I think they should sign Felix Heredia. He never ruined my day. ....... - id: 5562 author: Ivy Envy author_email: '' author_url: '' date: '2012-12-07 10:06:34 +0000' date_gmt: '2012-12-07 16:06:34 +0000' content: Which player/manager would I like to see with the green suit and little balls? Lester Strode. Like you need to ask. ---
The Cubs have added another pitcher, this time in the form of a Japanese free-agent. Kyuji Fujikawa reportedly signed a 2-year $9.5 million deal.
The 32-year old has spent 12 seasons with the Hanshin Tigers. In the 12 seasons, he has 220 saves and a 1.77 ERA. Based on his numbers, it appears that Fujikawa has been dominant....when he's pitched. Like most of the pitchers the Cubs have signed this off-season, Fujikawa has had injury issues. He's averaged about 55 innings pitched in the last four seasons.
The Cubs claim that this isn't necessarily the signing that ensures Carlos Marmol is on his way out. Remember that the Cubs were close to sending Marmol to the Angels not that long ago. While Fujikawa is a closer, the Cubs are also confident he can fill other roles in the pitching staff.
He has four pitches in his repertoire. He is known for his fast-ball, which has late movement on it, giving it a "hop". He has grown to rely on his off-speed pitches to avoid fatigue and stress on his arm. These pitches include a forkball and curveball.
Because he has so many pitches, the Cubs aren't stuck using him in the closer's role. If the Cubs are able to move Marmol, they have someone to step in. If Marmol is on the Cubs roster, Fujikawa can pitch in any relief role. If he's healthy, that is.
The Cubs will introduce Fujikawa at a news conference at Wrigley Friday morning at 11:30.


Marinorama
Layers of the Ocean
Epipelagic
The only zone of the ocean on which the sun shines, the epipelagic zone is the most diverse layer in both its wildlife and climate. It extends about 200m (660ft) from the surface and is the only area in the ocean where plants can perform photosynthesis, making it rich in oxygen. However, as most sediment sinks to the bottom of the sea, the epipelagic zone is relatively low in nutrients. Most of the fish, mammals, plankton, and plants in the ocean are found in this area. Many animals here use a method of camoflauge called countershading, in which they are darker on the top and lighter on the bottom. If viewed from above, the animal will blend in with the darker water or ocean floor, and when looked at from below, it will blend in with the sunlit water.
Mesopelagic
The second layer of the ocean is the mesopelagic zone. In this zone, light is scarce, and many animals have developed bioluminescence as a result. Scientists theorize that the ability to glow in the dark is useful to organisms because it allows them to communicate, camoflauge, or attract prey. The mesopelagic zone reaches from 200m (660ft) to 1000m (3280ft) below the surface. There is no plant life and little food, so many of the animals in this zone migrate to the epipelagic zone at night. In fact, due to these nocturnal mass migrations, at one point sonar waves falsely identified these animals as an ocean floor that rose closer to the surface at night.
Bathypelagic
Also known as the midnight zone, the bathypelagic zone is the first zone in which there is no light at all save for that produced by the organisms living in it. Spanning the range of 1000m (3280ft) to 4000m (13,100ft) beneath the surface, the water pressure is extreme and the temperature can be as low as 4º Celsius (39º Farenheit), yet many organisms manage to thrive in these conditions. Many of the fish in this region lack a swim bladder, an organ that allows them to swim up and down. They instead have a body mass with a higher concentration of lipids, neutralizing their buoyancy under the immense pressure.
Abyssopelagic
Even more daunting than the bathypelagic zone is the abyssopelagic zone. From 4000m (13,100ft) deep to the ocean floor, the water pressure is crushing and the temperature is near-freezing. Exploration is very difficult for humans due to these conditions. This layer is mainly populated by invertebrates such as starfish and squids, but some fish are able to live here. Three-fourths of the ocean floor is found in the abyssopelagic zone. Scientists used to believe that all life was dependant on photosynthesis, but research about this eternally dark abyss has shown the possibility of the earliest life forms being based off of chemosynthesis.
Hadalpelagic
The final layer is the hadalpelagic zone. Named after Hades, the Greek god of death, this zone is made up of all the deep sea trenches below the abyssopelagic zone. Due to even more intense pressure and frigid temperatures, research of this zone is limited. It is hard to classify this zone since many trenches are isolated from each other and therefore have their own ecosystems. However, this also means that the hadalpelagic zone may have more diversity than the zones above it despite the seemingly impossible living conditions. Starfish and tube worms, for instance, are populous in hadal trenches. As of 2014, 400 different species have been found to live in this zone.
Fun Facts
- The ocean makes up almost 71% of the Earth's surface.
- More than 97% of all the planet's water is found in the ocean
- About 99% of organisms on Earth live in the ocean, yet humans have only explored about 10% of it.
- The Great Barrier Reef is a natural ecosystem made up of corals, making it the largest living structure on Earth. It measures about 2000km (1,243mi) long and is even visible from space.
- At the deepest point in the ocean, water pressure is more than 8 tons per square inch. To put that in perspective, imagine a single person trying to hold up 50 jumbo jets.
- Even though coral reefs comprise less than 0.5% of the ocean floor, scientists estimate that more than 90% of marine organisms are directly or indirectly dependent on them.
- There is as much ice in Antarctica as there is water in the Atlantic Ocean.
- 90% of volcanic activity occurs in the ocean, especially in the Ring of Fire, a region formed on tectonic plate borders that contains about 1,133 volcanoes.


As coronis test is a test framework I dont think is good idea to use itself to test it, nor another
test framewok. So The only option left is to create a custom tester.
On this tester there is no jQuery nor any other helper libs, as they may interfere. Just press the main button
Test to start the full suite, or a custom test with every button.
For security reason on browsers, its better if you host this somehwere and use it throught a web server.


My Proposal
- My website will be an introduction site to the city of Beijing. Basically it will be introducing the food, the tourist attraction and some information and story about Beijing's culture.
- The objective of the website is to let more people know about Beijing, for them To get to know more about the city and the things that are not usually known to the foreigner. I want to do this because I am from Beijing and I love the city. It is a way of showing my love for the city by introducing it, the real and good side of the city to other people.
- My target audience is people that are interested in traveling to Beijing or just simply people that like to travel around and people that would like to know different cultre.
- As for now, I plan to separate the content into the following categories: first, I will have a page for the food in Beijing, second, I will have a page introducing the famous places to go in Beijing, third, I will have a page introducing the history of the city, forth, I will have a page for popular events happening in Beijing and maybe I will have another page for transportation.


tidy_corels.Rd
The tidy_corels() function converts your dataframe into the text file format corels::corels() expects and returns a list of useful R objects.
tidy_corels(df, label_cols, value_delim = "_", ...)
| df | The dataframe to generate rules from. Applies the function corels::corels(). |
|---|---|
| label_cols | The two columns in df that represent the label. Corels expects two columns representing each class. Consider using recipes::step_dummy() to convert outcome to two columns. |
| value_delim | the delimiter to mark where the value of the 0/1 binary feature appears in the column name. Default value is underscore "_" as this is used by recipes::step_dummy() when creating dummy columns. |
| ... | Set any of the arguments imported from corels::corels(). The following arguments are fixed by tidy_corels(): rules_file and labels_file (both generated from the dataframe supplied to the df argument), log_dir (set as your current working directory), verbosity_policy (set as "minor"). |
The function returns your dataframe with the corels rules applied by adding the column "corels_label".
Returns the Corels rules from the console output of corels::corels().
Returns those rules converted to data.table::fifelse() code (corels_rules_DT).
Returns a dataframe of only the true label, the columns with their value if they are used by the rules (i.e. if the value is not used it will be NA), and the corels classification applied to your dataframe (alluvial_df). This dataframe is intended to be used in an easyalluvial plot https://github.com/erblast/easyalluvial/blob/master/README.md.
Returns a dataframe of the peformance of each rule in the order of Corels rules (rule_performance_df).
Returns two dataframes (sankey_edges_df and sankey_nodes_df) to create a sankey network diagram of the corels rules https://christophergandrud.github.io/networkD3/#sankey.
All variables must contain 0 or 1. Consider using recipes::step_dummy() to convert categorical variables to dummy columns. If variable is continous (e.g. age), consider using recipes::step_discretize() before recipes::step_dummy().
The names of the two outcome columns in label_cols argument must end in 0 and 1.
Consider using recipes::step_integer(recipes::all_outcomes(), zero_based = TRUE) to convert outcome values to 0/1 before using recipes::step_dummy() to create the two outcome columns Corels requires.
To apply the corels rules created to a new dataframe, see predict_corels
.
Examples: https://billster45.github.io/tidycorels/


Joshua Vaughan and Daniel Newman
Department of Mechanical Engineering
University of Louisiana at Lafayette
<EMAIL_ADDRESS>@Doc_Vaughan
http://www.ucs.louisiana.edu/~jev9637/
| $\mbox{Variable}$ | $\mbox{Value}$ |
|---|---|
| $\omega_n$ | $14.28\frac{\mbox{rad}}{\mbox{s}}$ |
| $\zeta$ | $0.01$ |
| $A_{max}$ | $0.9\frac{\mbox{m}}{\mbox{s}^2}$ |
| $V_{max}$ | $0.15\frac{\mbox{m}}{\mbox{s}}$ |
| $v_{f0}$ | $0\frac{\mbox{mm}}{\mbox{s}}$ |
| $y_{f0}$ | $0.36\mbox{mm}$ |
Input shaping constraints can be modified to elimniate nonzero inital conditions.
The non-robust, ZV-IC shaper can be solved in closed-form.
The Specified Insensitivity method


{% extends 'base.html' %} {% block title %} Logout User {% endblock title %} {% block body %}
You have been successfully logged out of your account.
Log in again


I'm a self-taught web developer from San Francisco, California.
I have a passion for learning and expanding my coding and design skills.
When I'm not working or studying, I'm probably looking up nonsense on the internet.
A memory game based on the Simon toy.
The player matches color/sound cues in sequence until 20 moves are reached.
Also includes a "strict" mode where the total moves counter is reset to 0 when a single mistake is made.
Written mostly in Javascript and without jQuery as a way to improve my ability with vanilla Javascript.
This is a simple app for keeping track of a preset list of channels from the Twitch website.
Online channels will display their status message while offline channels will display "offline".
Users can toggle between seeing only online channels, offline channels, or both.
The status and portrait for each channel are accessed through a modified link to Twitch's API using jQuery's AJAX calls.
A timer to be used with the Pomodoro Technique.
It has a "work" timer and a "break" timer and both can be adjusted in 1 minute increments.
An alert sound is played when the "work" timer runs out, and once again when the "break" timer runs out.
Thanks for looking through my page!
You can check out more of my work or contact me through the links below.


Toggle navigation
Priyank
Home
Log out
FAVORITES
News Feed
EXPLORE
Events
Groups
Find Friends
groupname
create by admin
Join
Pending
Joined
Leave
Discussions
Members
Write post
Add Video/Photos
Upload Photo
Post
ADD MEMBERS
GROUP JOIN REQUESTS


Simulation overview
This simulation allows you to manage a virtual hospital, analyse the effects of your decisions on performance, and try to iteratively implement changes based on this analysis. The aim is to achieve the highest performance for the lowest cost.
Simulated patients are designed to mimic the actual movements of patients through a typical acute hospital. There are two main ways to use the tool: with new patients generated as the simulation runs, or using a predefined set of known patients. By default, the parameters are balanced so that 1 step of the simulation is 1 hour in the hospital. It isn't required that the steps are interpreted this way, but make sure you're consistent.
Workflows
There are two major workflows for this tool:
- Manage your hospital over time
- Optimise your hospital for known patients
Manage your hospital over time
Setup:
- Simulation history = resume
- Patients = generate
The main loop is to click “run”, monitor the performance for a few days, then pause to make management changes and click run again to continue. The main dashboard is the history tab where you can monitor day-by-day stats over time. Occupancy, queue length and delays are particularly useful to diagnose where problems are occurring or where savings can be made. The network tab is most useful if you run some of the built in analysis – e.g. nodes with high betweenness centrality will affect a high proportion of patients.
Optimise your hospital for known patients
Setup:
- Simulation history = resume
- Patients = preset
In this mode everyone will get the same patients in the same order. If you refresh the page, the sequence goes back to the beginning. The challenge is to keep trying the same patients and optimise performance for them. This is something that is only possible in a simulation, but the value is you can explore “what if” scenarios with consistent inputs. If you get good performance, save the config and test how well it performs with new patients (as in “manage hospital over time” above).
Ward management
In this section you can change the settings for each ward in the hospital, and also change some parameters
for the simulation itself.
Ward list
This is a list of all the wards in your hospital. Click a ward on this list to select it for editing in the "Editing" panel. The currently selected ward is highlighted in green.
Editing
This is where you make management decisions about each ward. Remember to click the save button after changing the settings.
- Beds
- The number of beds in the ward. Cannot be zero.
- Resources
- Resources is a general term for all requirements other than beds and staff, e.g medicine, equipment, lab tests.
The number of resources available doesn't have a unit, it's a relative measure. Think of it as the total cost per hour for whatever resources the ward needs.
- Staff
- The total number of staff employed to work on this ward, across all roles.
- Distribution of resources and staff
- How should the available resources and sraff time be divided between the admitted patients? The options are "Equal", "Highest first", "Biased highest first" and "Lowest first". With an "equal" policy, the available resources are divided evenly between all patients. "Highest first" starts by treating patients that need more care, spending time and resources on them first, potentially delaying less serious patients if all available resources or staff are already used. "Biased highest first" attempts to limit the impact on other patients by ensuring all patients receive at least some treatment, but prioritising more serious/ urgent cases. "Lowest first" starts by treating the least costly patients, potentially not leaving enough resources for high-need cases but also potentially allowing a large number of simple cases to be discharged quickly.
- Queue policy
- If there are more patients that need to be admitted to a ward than there are beds available, how should the choice of who to admit be made? Options are "First-come, first-served", "Highest need first" and "Lowest need first". This means some patients will not be admitted. These patients (that are waiting but are not admitted) will remain in the queue untill they are admitted. With a "First-come, first-served" policy, there is no queue jumping for any reason, regardless of the urgency of the patients waiting. "Highest need first" prioritises urgent cases. "Lowest need first" priortises simple cases.
- Accept overflow
- If a ward has empty beds, should it make these beds available to accept patients from other wards that are at capacity and need to free up space? The options are "Always" and "Never". If these beds are later needed, they can only become available by transferring the (overflow) patient somewhere else.
- Begin boarding after
- This option is currently only available for the Emergency department. Patients who are ready for admission from the Emergency department may have to wait for a bed in their destination ward to be available. This parameter specifies the number of hours (steps in the simulation) to allow a patient to wait in the Emergency department before trying to "board" them in another ward.
Simulation setup
Here you can start the simulation, and also change some parameters that would increase or decrease the pressure on your hospital. By default the settings reproduce a fairly typical day with 3 admissions from the Emergency Department expected per hour. You should not use these settings as a way to "improve" the performance of your hospital, but they should be used to investigate how your system copes with increased demand.
The final setting "wait between runs" is the number of seconds the tool will wait between runs when set to run continuously. You can make this longer to give yourself more time to analyse data, or if you are using a less powerful machine to run the tool, e.g. a phone or tablet.
The default hospital is designed to be complex enough to be interesting, but not overwhelming in the context of a 30-60 min session. Every aspect of the hospital can be configured and uploaded, including the number of wards and their default settings and the probability of different types of patients arriving. Changing the core hospital configuration is documented here. Students using the tool are not expected to modify the basic configuration, this is an option for the organisers. However, it may be useful to download your current settings (the "download config" button). This includes all the current options set in the ward management section, so this is a convenient way to save your current settings and return to them later for comparison. You can also reload the configuration of any previous run from the "History" tab in the Analysis section, but these results are lost when the page is closed or refreshed.
- Simulation steps
- Total number of steps. By default, 1 step is equivalent to 1 hour in the hospital so 24 steps is 1 day and 672 steps is 1 month.
- Max patients
- Patients arrive at random, so we don't know how many will arrive or when. This parameter sets a limit on the total number of patients that will ever be created in a single run of the simulation. After this point no more patients will arrive but any patients currently in the hospital will continue their visit.
- Min arrivals per step
- What is the fewest patients that can arrive in the Emergency Department per step of the simulation. Reasonable bounds depend on how long you're taking 1 step to mean. By default 1 step is 1 hour, so 1 admission is reasonable. The simulation is slightly unstable if this is zero.
- Expected arrivals per step
- The typical number of patients arriving at the Emergency Department per step of the simulation. Reasonable bounds depend on how long you're taking 1 step to mean.
- Max arrivals per step
- What is the most patients that can arrive in the Emergency Department per step of the simulation. Reasonable bounds depend on how long you're taking 1 step to mean. By default 1 step is 1 hour, so 4 admissions are reasonable.
- Emergency wait target
- Equivalent to the UK national 4-hour waiting time standard. By default this is 4 as 1 step is interpreted as 1 hour. This does not affect the simulation itself, but is used in the analysis.
- Wait between runs (s)
- The number of seconds to wait between repeated runs of the simulation. When you click "Run", the simulation runs every few seconds as defined by this parameter. It does not affect the performance in any way.
Simulation controls
This is where you start and stop the simulation, decide how patients should be generated, reset the tool and save/upload your configuration.
Click the green "Run" button to start the simulation. By default it will simulate 1 day every 2 seconds (simulation steps = 24, wait between runs = 2) and will keep going until you click the red "pause" button that appears. To run a single simulation, click "Run once".
- Simulation history
- How should this run relate to the previous ones? The default mode is "resume", where this run picks up where the last one left off. For example, any patients currently in hospital at the end of the previous run will still be there. This means you are managing once consistent hospital over time. The other options are "clean slate" or "repeat previous". In clean slate mode, each run is completely independent, which is useful to understand the general effects of the ward parameters. "Repeat previous" mode allows you to retry the previous run after making different management decisions for your wards, trying to improve performance. All wards will be reset to their initial state for the previous run, and you will see the same patients in the same order. This is useful to see what you could have done differently if you have particularly low performance one day.
- Patients
- The patients arriving at your hospital are either generated on the fly ("generate") or predetermined ("preset"). In preset mode you are optimising your hospital for a given set of patients that will arrive at the Emergency department per step of the simulation. By default there are 30 days of patients. In generate mode you can run indefinitely, and you don't know which patients you will see at what time. This is more realistic, but the variability of the patients means it is more difficult to assess the impact of your management decisions.
- Change hospital
- This allows you to upload a saved configuration, including all of your ward management decisions. You can download your current configuration at any time by clicking "download config" (see below). This is useful to re-load a particularly good configuration to test it under different conditions, such as downloading your optimised configuration for preset mode to then test with new (generated) patients.
- Download config
- This will save all of your ward management decisions to a local file, which you can upload by clicking "change hospital" (above)
- Reset analysis
- Clicking this will reset everything in the "analysis" section of the tool, and set the simulation time back to 0. This is useful for preset mode when you reach the end of the sequence of patients. Resetting the analysis will also cause preset patients to start arriving from the beginning of the sequence again.
- Run
- When you click run, the simulation will keep going until you click "pause" (the pause button appears after you click run). By default it will: simulate one day, wait for 2 seconds, repeat.
- Run once
- Clicking "run once" will perform the same simulation as clicking "run", but it will not run continuously. This is useful if you want to step through days more slowly.
Analysis
Find out how well your hospital is performing. Before you run the simulation the first time, most of these tabs will be empty. The main exception is the Network tab, which initially shows the model used by the simulation to generate patients. All tabs are documented in blue information boxes in the simulator itself.
History
The "History" tab is particularly complex. It allows you to track the progress of your hospital (either over time, or as you investigate the effect of changing the simulation parameters on the same patients.). From each row in the results, you can re-load the configuration of the hospital that you used for that run. Above the table, two charts are generated. On the left you can track various performance metrics over time (selected in the dropdown list), which is automatically updated as the simulation runs. On the right, you can track the average performance of your hospital over all runs in the history tab. Note that occupancy is only calculated considering admitted patients, so the Emergency department is ignored.
The efficiency metrics in the history tab (length of stay, resource use, staff time) show how the actual usage in your hospital compares to the minimum requirements needed to treat all patients admitted in the simulation. For example, each patient has a minimum possible length of stay that cannot be reduced, which is due to their treatment needs. If their actual length of stay equals this minimum value, the efficiency is 100%. Similarly, staff time and resource use represent excessive expenditure (due to over-budgeting or unnecessarily long length of stay).


home | page 2
Click on a picture for a larger one.
These pictures where taken by Stevan Bennett. Thank you for letting us use them!
© 2005 St Margarets Community Website


= resnet18() model
Sparsifier
::: {.cell 0=‘e’ 1=‘x’ 2=‘p’ 3=‘o’ 4=‘r’ 5=‘t’ execution_count=6}
import numpy as np
from itertools import cycle
import torch
import torch.nn as nn
from fastcore.basics import store_attr, listify
from fasterai.core.criteria import *
import pickle
:::
A sparse vector, as opposed to a dense one, is a vector which contains a lot of zeroes. When we speak about making a neural network sparse, we thus mean that the network’s weight are mostly zeroes.
With fasterai, you can do that thanks to the Sparsifier
class.
Let’s start by creating a model
As you probably know, weights in a convolutional neural network have 4 dimensions ($ c_{out} c_{in} k_h k_w$)
model.conv1.weight.ndim
4
In the case of ResNet18, the dimension of the first layer weights is \(64 \times 3 \times 7 \times 7\). We thus can plot each of the \(64\) filter as a \(7 \times 7\) color image (because they contains \(3\) channels).
plot_kernels(model.conv1)
::: {.cell 0=‘e’ 1=‘x’ 2=‘p’ 3=‘o’ 4=‘r’ 5=‘t’ execution_count=14}
class Sparsifier():
def __init__(self, model, granularity, context, criteria, layer_type=nn.Conv2d):
store_attr()self._save_weights() # Save the original weights
def prune_layer(self, m, sparsity, round_to=None, k=0):
= self.criteria(m)
scores setattr(m, '_mask', self._compute_mask(m, scores, sparsity, round_to))
self._apply(m)
self.criteria.update_weights(m)
def prune_model(self, sparsity, round_to=None):
self.threshold=None
= listify(sparsity)
sparsity_list if len(sparsity_list)>1: assert self.context=='local', f"A list of sparsities cannot be passed using: {self.context}"
= cycle(sparsity_list) if len(sparsity_list)==1 else iter(sparsity_list)
sparsities = list(self.model.modules())
mods for k,m in enumerate(self.model.modules()):
if isinstance(m, self.layer_type):
= next(sparsities)
sp self.prune_layer(m, sp, round_to,k)
if isinstance(mods[k+1], nn.modules.batchnorm._BatchNorm): self.prune_batchnorm(m, mods[k+1])
def prune_batchnorm(self, m, bn):
= getattr(m, "_mask", None)
mask if self.granularity == 'filter' and mask is not None:
bn.weight.data.mul_(mask.squeeze())
bn.bias.data.mul_(mask.squeeze())
def _apply_masks(self):
for m in self.model.modules():
if isinstance(m, self.layer_type):
self._apply(m)
def _apply(self, m):
= getattr(m, "_mask", None)
mask if mask is not None: m.weight.data.mul_(mask)
if self.granularity == 'filter' and m.bias is not None:
if mask is not None: m.bias.data.mul_(mask.squeeze()) # We want to prune the bias when pruning filters
def _reset_weights(self, model=None):
if not model: model=self.model
for m in model.modules():
if hasattr(m, 'weight'):
= getattr(m, "_init_weights", m.weight)
init_weights = getattr(m, "_init_biases", m.bias)
init_biases with torch.no_grad():
if m.weight is not None: m.weight.copy_(init_weights)
if m.bias is not None: m.bias.copy_(init_biases)
self._apply(m)
if isinstance(m, nn.modules.batchnorm._BatchNorm): m.reset_parameters()
def _save_weights(self):
for m in self.model.modules():
if hasattr(m, 'weight'):
"_init_weights", m.weight.clone())
m.register_buffer(= getattr(m, 'bias', None)
b if b is not None: m.register_buffer("_init_biases", b.clone())
def save_model(self, path, model=None):
if not model: model=self.model
= pickle.loads(pickle.dumps(model))
tmp_model self._reset_weights(tmp_model)
self._clean_buffers(tmp_model)
torch.save(tmp_model, path)
def _clean_buffers(self, model=None):
if not model: model=self.model
for m in model.modules():
if hasattr(m, 'weight'):
if hasattr(m, '_mask'): del m._buffers["_mask"]
if hasattr(m, '_init_weights'): del m._buffers["_init_weights"]
if hasattr(m, '_init_biases'): del m._buffers["_init_biases"]
def _compute_threshold(self, m, scores, sparsity):
if self.context == 'global':
if self.threshold is None:
= torch.cat([self.criteria(m).view(-1) for m in self.model.modules() if isinstance(m, self.layer_type)]) # Get all scores
global_criteria = torch.cat([self.criteria.get_scores(m, self.criteria(m), self.granularity, global_criteria.min()).view(-1) for m in self.model.modules() if isinstance(m, self.layer_type)])
global_scores self.threshold = torch.quantile(global_scores, sparsity/100) # Compute the threshold globally (only once per model pruning)
= self.criteria.get_scores(m, scores, self.granularity, self.criteria.min_value) # min_value is computed only once per prune_model
scores return self.threshold, scores
elif self.context == 'local':
= self.criteria.get_scores(m, scores, self.granularity)
scores return torch.quantile(scores.view(-1), sparsity/100), scores
else: raise NameError('Invalid Context')
def _rounded_sparsity(self, n_to_prune, round_to):
return max(round_to*torch.ceil(n_to_prune/round_to), round_to)
def _compute_mask(self, m, scores, sparsity, round_to):
self.threshold, scores = self._compute_threshold(m, scores, sparsity)
if round_to:
= sum(scores.ge(self.threshold)).squeeze()
n_to_keep self.threshold = torch.topk(scores.squeeze(), int(self._rounded_sparsity(n_to_keep, round_to)))[0].min()
if self.threshold > scores.max(): self.threshold = scores.max() # Make sure we don't remove every weight of a given layer
return scores.ge(self.threshold).to(dtype=scores.dtype)
def print_sparsity(self):
for k,m in enumerate(self.model.modules()):
if isinstance(m, self.layer_type):
print(f"Sparsity in {m.__class__.__name__} {k}: {100. * float(torch.sum(m.weight == 0))/ float(m.weight.nelement()):.2f}%")
:::
The Sparsifier
class allows us to remove some (part of) the filters, that are considered to be less useful than others. This can be done by first creating an instance of the class, specifying:
- The
granularity
, i.e. the part of filters that you want to remove. Typically, we usually remove weights, vectors, kernels or even complete filters. - The
context
, i.e. if you want to consider each layer independently (local
), or compare the parameters to remove across the whole network (global
). - The
criteria
, i.e. the way to assess the usefulness of a parameter. Common methods compare parameters using their magnitude, the lowest magnitude ones considered to be less useful.
User can pass a single layer to prune by using the Sparsifier.prune_layer
method.
show_doc(Sparsifier.prune_layer)
Sparsifier.prune_layer
Sparsifier.prune_layer (m, sparsity, round_to=None, k=0)
= resnet18()
model = Sparsifier(model, 'filter', 'local', large_final)
pruner 70) pruner.prune_layer(model.conv1,
pruner.print_sparsity()
Sparsity in Conv2d 1: 70.31%
Sparsity in Conv2d 7: 0.00%
Sparsity in Conv2d 10: 0.00%
Sparsity in Conv2d 13: 0.00%
Sparsity in Conv2d 16: 0.00%
Sparsity in Conv2d 20: 0.00%
Sparsity in Conv2d 23: 0.00%
Sparsity in Conv2d 26: 0.00%
Sparsity in Conv2d 29: 0.00%
Sparsity in Conv2d 32: 0.00%
Sparsity in Conv2d 36: 0.00%
Sparsity in Conv2d 39: 0.00%
Sparsity in Conv2d 42: 0.00%
Sparsity in Conv2d 45: 0.00%
Sparsity in Conv2d 48: 0.00%
Sparsity in Conv2d 52: 0.00%
Sparsity in Conv2d 55: 0.00%
Sparsity in Conv2d 58: 0.00%
Sparsity in Conv2d 61: 0.00%
Sparsity in Conv2d 64: 0.00%
Most of the time, we may want to prune the whole model at once, using the Sparsifier.prune_model
method, indicating the percentage of sparsity to you want to apply.
show_doc(Sparsifier.prune_model)
Sparsifier.prune_model
Sparsifier.prune_model (sparsity, round_to=None)
There are several ways in which we can make that first layer sparse. You will find the most important below:
= resnet18()
model = Sparsifier(model, 'weight', 'local', large_final)
pruner 70) pruner.prune_model(
pruner.print_sparsity()
Sparsity in Conv2d 1: 69.99%
Sparsity in Conv2d 7: 70.00%
Sparsity in Conv2d 10: 70.00%
Sparsity in Conv2d 13: 70.00%
Sparsity in Conv2d 16: 70.00%
Sparsity in Conv2d 20: 70.00%
Sparsity in Conv2d 23: 70.00%
Sparsity in Conv2d 26: 70.00%
Sparsity in Conv2d 29: 70.00%
Sparsity in Conv2d 32: 70.00%
Sparsity in Conv2d 36: 70.00%
Sparsity in Conv2d 39: 70.00%
Sparsity in Conv2d 42: 70.00%
Sparsity in Conv2d 45: 70.00%
Sparsity in Conv2d 48: 70.00%
Sparsity in Conv2d 52: 70.00%
Sparsity in Conv2d 55: 70.00%
Sparsity in Conv2d 58: 70.00%
Sparsity in Conv2d 61: 70.00%
Sparsity in Conv2d 64: 70.00%
You now have a model that is \(70\%\) sparse !
Granularity
As we said earlier, the granularity
defines the structure of parameter that you will remove.
In the example below, we removed weight
from each convolutional filter, meaning that we now have sparse filters, as can be seen in the image below:
plot_kernels(model.conv1)
Another granularity is, for example, removing column
vectors from the filters. To do so, just change the granularity parameter accordingly.
= resnet18()
model = Sparsifier(model, 'column', 'local', large_final)
pruner 70) pruner.prune_layer(model.conv1,
plot_kernels(model.conv1)
For more information and examples about the pruning granularities, I suggest you to take a look at the corresponding section.
Context
The context defines where to look in the model, i.e. from where do we compare weight. The two basic contexts are: - local
, i.e. we compare weight from each layer individually. This will lead to layers with similar levels of sparsity. - global
, i.e. we compare weight from the whole model. This will lead to layers with different levels of sparsity
= resnet18()
model = Sparsifier(model, 'weight', 'local', large_final)
pruner 70) pruner.prune_model(
pruner.print_sparsity()
Sparsity in Conv2d 1: 69.99%
Sparsity in Conv2d 7: 70.00%
Sparsity in Conv2d 10: 70.00%
Sparsity in Conv2d 13: 70.00%
Sparsity in Conv2d 16: 70.00%
Sparsity in Conv2d 20: 70.00%
Sparsity in Conv2d 23: 70.00%
Sparsity in Conv2d 26: 70.00%
Sparsity in Conv2d 29: 70.00%
Sparsity in Conv2d 32: 70.00%
Sparsity in Conv2d 36: 70.00%
Sparsity in Conv2d 39: 70.00%
Sparsity in Conv2d 42: 70.00%
Sparsity in Conv2d 45: 70.00%
Sparsity in Conv2d 48: 70.00%
Sparsity in Conv2d 52: 70.00%
Sparsity in Conv2d 55: 70.00%
Sparsity in Conv2d 58: 70.00%
Sparsity in Conv2d 61: 70.00%
Sparsity in Conv2d 64: 70.00%
= resnet18()
model = Sparsifier(model, 'weight', 'global', large_final)
pruner 70) pruner.prune_model(
pruner.print_sparsity()
Sparsity in Conv2d 1: 66.20%
Sparsity in Conv2d 7: 32.18%
Sparsity in Conv2d 10: 32.09%
Sparsity in Conv2d 13: 31.96%
Sparsity in Conv2d 16: 32.15%
Sparsity in Conv2d 20: 44.07%
Sparsity in Conv2d 23: 44.04%
Sparsity in Conv2d 26: 16.02%
Sparsity in Conv2d 29: 44.15%
Sparsity in Conv2d 32: 44.09%
Sparsity in Conv2d 36: 59.25%
Sparsity in Conv2d 39: 59.30%
Sparsity in Conv2d 42: 22.06%
Sparsity in Conv2d 45: 59.29%
Sparsity in Conv2d 48: 59.30%
Sparsity in Conv2d 52: 75.90%
Sparsity in Conv2d 55: 75.85%
Sparsity in Conv2d 58: 30.31%
Sparsity in Conv2d 61: 75.82%
Sparsity in Conv2d 64: 75.86%
Criteria
The criteria
defines how we select the parameters to remove. It is usually given by a scoring method. The most common one is the large_final
, i.e. select parameters with the highest absolute value as they are supposed to contribute the most to the final results of the model.
= resnet18()
model = Sparsifier(model, 'weight', 'global', large_final)
pruner 70) pruner.prune_model(
pruner.print_sparsity()
Sparsity in Conv2d 1: 67.08%
Sparsity in Conv2d 7: 32.25%
Sparsity in Conv2d 10: 31.98%
Sparsity in Conv2d 13: 32.28%
Sparsity in Conv2d 16: 31.94%
Sparsity in Conv2d 20: 44.52%
Sparsity in Conv2d 23: 44.23%
Sparsity in Conv2d 26: 15.36%
Sparsity in Conv2d 29: 44.36%
Sparsity in Conv2d 32: 44.24%
Sparsity in Conv2d 36: 59.27%
Sparsity in Conv2d 39: 59.10%
Sparsity in Conv2d 42: 21.94%
Sparsity in Conv2d 45: 59.21%
Sparsity in Conv2d 48: 59.23%
Sparsity in Conv2d 52: 75.89%
Sparsity in Conv2d 55: 75.82%
Sparsity in Conv2d 58: 30.38%
Sparsity in Conv2d 61: 75.90%
Sparsity in Conv2d 64: 75.85%
= resnet18()
model = Sparsifier(model, 'weight', 'global', small_final)
pruner 70) pruner.prune_model(
pruner.print_sparsity()
Sparsity in Conv2d 1: 72.49%
Sparsity in Conv2d 7: 87.78%
Sparsity in Conv2d 10: 87.88%
Sparsity in Conv2d 13: 87.83%
Sparsity in Conv2d 16: 87.99%
Sparsity in Conv2d 20: 83.05%
Sparsity in Conv2d 23: 83.02%
Sparsity in Conv2d 26: 94.21%
Sparsity in Conv2d 29: 83.10%
Sparsity in Conv2d 32: 83.07%
Sparsity in Conv2d 36: 76.27%
Sparsity in Conv2d 39: 76.20%
Sparsity in Conv2d 42: 92.01%
Sparsity in Conv2d 45: 76.22%
Sparsity in Conv2d 48: 76.26%
Sparsity in Conv2d 52: 66.89%
Sparsity in Conv2d 55: 66.87%
Sparsity in Conv2d 58: 88.72%
Sparsity in Conv2d 61: 66.95%
Sparsity in Conv2d 64: 66.87%
For more information and examples about the pruning criteria, I suggest you to take a look at the corresponding section.
Remark
In some case, you may want to impose the remaining amount of parameters to be a multiple of 8, this can be done by passing the round_to
parameter.
= resnet18()
model = Sparsifier(model, 'filter', 'local', large_final)
pruner 70, round_to=8) pruner.prune_model(
pruner.print_sparsity()
Sparsity in Conv2d 1: 62.50%
Sparsity in Conv2d 7: 62.50%
Sparsity in Conv2d 10: 62.50%
Sparsity in Conv2d 13: 62.50%
Sparsity in Conv2d 16: 62.50%
Sparsity in Conv2d 20: 68.75%
Sparsity in Conv2d 23: 68.75%
Sparsity in Conv2d 26: 68.75%
Sparsity in Conv2d 29: 68.75%
Sparsity in Conv2d 32: 68.75%
Sparsity in Conv2d 36: 68.75%
Sparsity in Conv2d 39: 68.75%
Sparsity in Conv2d 42: 68.75%
Sparsity in Conv2d 45: 68.75%
Sparsity in Conv2d 48: 68.75%
Sparsity in Conv2d 52: 68.75%
Sparsity in Conv2d 55: 68.75%
Sparsity in Conv2d 58: 68.75%
Sparsity in Conv2d 61: 68.75%
Sparsity in Conv2d 64: 68.75%
= resnet18()
model = Sparsifier(model, 'filter', 'global', large_final)
pruner 70, round_to=8) pruner.prune_model(
pruner.print_sparsity()
Sparsity in Conv2d 1: 87.50%
Sparsity in Conv2d 7: 0.00%
Sparsity in Conv2d 10: 0.00%
Sparsity in Conv2d 13: 0.00%
Sparsity in Conv2d 16: 0.00%
Sparsity in Conv2d 20: 93.75%
Sparsity in Conv2d 23: 93.75%
Sparsity in Conv2d 26: 0.00%
Sparsity in Conv2d 29: 93.75%
Sparsity in Conv2d 32: 93.75%
Sparsity in Conv2d 36: 96.88%
Sparsity in Conv2d 39: 96.88%
Sparsity in Conv2d 42: 0.00%
Sparsity in Conv2d 45: 96.88%
Sparsity in Conv2d 48: 90.62%
Sparsity in Conv2d 52: 98.44%
Sparsity in Conv2d 55: 98.44%
Sparsity in Conv2d 58: 0.00%
Sparsity in Conv2d 61: 98.44%
Sparsity in Conv2d 64: 98.44%
For more information about granularities at which you can operate, please check the related page.


WITNESS LIST Business & Commerce Committee April 1, 2003 - 8:00A SB 351 Registering, but not testifying: On: Kuntz, William (Department of Licensing & Regulation), Austin, TX SB 818 FOR: Stinson, Bill (Texas Association of Realtors), Austin, TX ON: Thorburn, Wayne (Texas Real Estate Commission), Austin, TX Registering, but not testifying: On: Crawford, Denise Securities Commissioner (State Securities Board), Austin, TX SB 943 FOR: Hiller, Scott (Speedmark), The Woodlands, TX Hooser, Greg (Mystery Shopping Providers Association), Austin, TX ON: Grumbles, Cliff (Texas Commission on Private Security), Austin, TX Registering, but not testifying: For: Barna, Sean (Self), San Antonio, TX Connor, John (Quality Assessments Mystery Shoppers, Inc.), Austin, TX Green, Mike (Speedmark), College Station, TX Henry, Reb (Feedback Plus and MSPA), Dallas, TX Henry, Vickie (Feedback Plus and MSPA), Dallas, TX Jackson, Richie (Texas Restaurant Association), Austin, TX Reagan, Karen (Texas Retailers Association), Austin, TX Scurlock, Steve (Independent Bankers Association of Texas), Austin, TX Sinclair, Robert (Self), San Antonio, TX SB 965 ON: Pettijohn, Leslie (Consumer Credit Commissioner), Austin, TX Registering, but not testifying: For: Leo, Myra (Cash America International), Austin, TX Zottarelli, Angelo (Texas Association of Pawn Brokers), Austin, TX SB 995 ON: Bartlett, Roger (Self), Austin, TX Morris, Diane Assistant General Counsel (Texas Lottery Commission), Austin, TX SB 1105 FOR: Weas, Tobias (American Resort Development Association), Orlando, FL ON: Crawford, Denise Securities Commissioner (State Securities Board), Austin, TX Thorburn, Wayne (Texas Real Estates Commission), Austin, TX Registering, but not testifying: For: Stinson, Bill (Texas Association of Realtors), Austin, TX SB 1183 Registering, but not testifying: On: Briggs, Charles (Texas Commission on Volunteerism), Austin, TX SB 1532 Registering, but not testifying: On: Flores, Carmen (Texas Secretary of State), Austin, TX Wassdorf, Lorna (Office of the Secretary of State), Austin, TX SB 1533 Registering, but not testifying: On: Moes, Randy (Office of the Secretary of State), Austin, TX Wassdorf, Lorna (Office of the Secretary of State), Austin, TX


Your open source module starts here.
For technical details about the angular module checkout the API Reference
You can get the repository at Devnup Official GitLab or GitHub.


lettery is simple jquery plugint that finds specified letter and makes edit to it.
lettery accepts two parametters: letters/words
and options
.
$( '.lettery' ).lettery( letters, options );
letters/words
should be an array of letters or words, so for one letter it would be: [ "w" ]
, for more letters: [ "w", "t", "f" ]
,
and for words: [ "bone", "ribs" ]
.
If you want to use words, you neet do define option words
to true
options: styles
can be any css:
styles: {
'position': 'relative',
'color': '#f00'
},
options: class
if you wish use custom css class for single letter, define that class name here
Full example:
$( '.lettery' ).lettery( [ "bone", "ribs", "bacon", "chicken", "pork" ], {
styles: {
'position': 'relative',
'bottom': '4px',
'color': '#e46'
},
class: "word",
words: true
});
Original text:
Bacon ipsum dolor amet chicken prosciutto chuck biltong, beef strip steak andouille drumstick bacon ham hock short loin pig pork loin. Frankfurter ribeye shank t-bone brisket spare ribs, porchetta pancetta biltong bresaola leberkas pork.
 Frankfurter ribeye shank t-bone brisket spare ribs, porchetta pancetta biltong bresaola leberkas pork.


Below is three smartphone games that test different parts of your brains skills. They work best on your phone.
Test your memory!
Play!
Reaction test!
Play!
Test both!
Play!
To read more about the games click
Here!


The Go Project
Go is an open source project developed by a team at Google and many contributors from the open source community.
Go is distributed under a BSD-style license.
Announcements Mailing List
A low traffic mailing list for important announcements, such as new releases.
We encourage all Go users to subscribe to golang-announce.
Version history
Release History
A summary of the changes between Go releases.
Developer Resources
Source Code
Check out the Go source code.
Discussion Mailing List
A mailing list for general discussion of Go programming.
Questions about using Go or announcements relevant to other Go users should be sent to golang-nuts.
Developer and Code Review Mailing List
The golang-dev mailing list is for discussing code changes to the Go project. The golang-codereviews mailing list is for actual reviewing of the code changes (CLs).
Checkins Mailing List
A mailing list that receives a message summarizing each checkin to the Go repository.
Build Status
View the status of Go builds across the supported operating systems and architectures.
How you can help
Reporting issues
If you spot bugs, mistakes, or inconsistencies in the Go project's code or documentation, please let us know by filing a ticket on our issue tracker. (Of course, you should check it's not an existing issue before creating a new one.)
We pride ourselves on being meticulous; no issue is too small.
Security-related issues should be reported to
<EMAIL_ADDRESS>See the security policy for more details.
Community-related issues should be reported to
<EMAIL_ADDRESS>See the Code of Conduct for more details.
Contributing code & documentation
Go is an open source project and we welcome contributions from the community.
To get started, read these contribution guidelines for information on design, testing, and our code review process.
Check the tracker for open issues that interest you. Those labeled help wanted are particularly in need of outside help.


[gecode-users] Add constraints to Flatzinc sharing parameters between them
Guido Tack
tack at gecode.org
Wed Sep 26 01:34:06 CEST 2012
Hi Andrea,
there's currently no sharing between arrays (i.e., a new AST::Array object is created for each invocation), and it's probably coincidental that s_array is the same between invocations. The reason for this is the very simple memory management model for AST objects.
Do you already have a problem just posting the constraints because FlatZinc/Gecode creates the duplicate arrays, or are you mainly worried about solver performance? If it's the latter, you could create a global hash table mapping AST::Arrays to IntSharedArrays in your registry post function.
Cheers,
Guido
On 25/09/2012, at 8:09 PM, Andrea Pretto <a.pretto at miriade.it> wrote:
> Hi,
>
> I'm trying to add a custom constraint in Flatizinc/Gecode. A simple version is already working. (Yes, I figured out how to modify registry.cpp etc... and yes, I know this is more hacking than extending cause there's no an official way to do that)
>
> I have the problem of sharing data (parameters) between constraints.
> This is the constraint signature:
>
> predicate my_con(var int: x, var int: y, array[int] of int: params1, array[int] of int: params2);
>
> my_con is a constraint between X and Y, parametrized by params1 and params2.
> params1 and params2 are (possibly) large arrays, so I want to share them between different my_con instances:
>
> There's a clean way to do that ??
>
>
> The simplest solution I found was using flatzinc parameters, but I have some problems.
>
> % flatzinc file
> array [1..many many] of int: p1;
> array [1..many many] of int: p2;
>
> ...
>
> my_con(x, y, p1, p2)
> ...
> my_con(z, w, p1, p2)
> %
>
> The flatzinc file above should resolve the problem alone, because the parameter arrays should be shared.
> This is a snippet of the function in registry.cpp that receives the constraint declaration.
>
> void p_my_con(FlatZincSpace& s, const ConExpr& ce, AST::Node* ann) {
> ...
> AST::Array* s_array = ce[2]->getArray();
> AST::Array* e_array = ce[3]->getArray();
>
> std::cout << "SA " << s_array << std::endl;
> std::cout << "SE " << e_array << std::endl;
> ...
> }
>
> Now the output shows me that s_array pointer is the same between invocation, but e_array is not, so it's like the second parameter array is copied every time.
>
> I don't know if this is a bug or not.
> However the main question is how to share data between multiple constraints.
>
> Any help is appreciated.
>
> Cheers.
>
> _______________________________________________
> Gecode users mailing list
> users at gecode.org
> https://www.gecode.org/mailman/listinfo/gecode-users
More information about the users
mailing list


This game is made for complete Computer Graphic’s final project. Made by Nabil, Andrew and Azkia with love.


View Highscores
Time : 0
Coding Quiz Challenge
Try to answer this coding related questions and share your results with friends!
Remember, it is a timed quiz. Every incorrect answer will penalise your score time by 10 seconds.
Enjoy it !
Start Quiz
All done !


[gecode-users] Parameter/Options passing to engines through script
Christian Schulte
cschulte at kth.se
Wed Jul 10 10:33:10 CEST 2013
Hi Luca,
Sorry for the delay but I did not really know what to answer ;-)
What would help me here is to understand the design of your LNS engine and
only then think how it could be best integrated into the Gecode jungle...
So, maybe you could summarize:
- what does the engine do
- what does it require from a space (you already mentioned two additional
member functions)
- what other parameters are needed to control the engine
Could you do that?
Cheers
Christian
--
Christian Schulte, Professor of Computer Science, KTH,
www.ict.kth.se/~cschulte/
-----Original Message-----
From: Luca Di Gaspero [mailto:l.digaspero at uniud.it]
Sent: Monday, July 08, 2013 7:38 PM
To: cschulte at kth.se
Cc: Tommaso Urli; users at gecode.org
Subject: Re: [gecode-users] Parameter/Options passing to engines through
script
Hi Christian,
> I think this is not a good idea: this would make the use of LNS depend
> on the fact that one uses a Script-derived class.
> But this is not general enough, as Script is just a convenience class
> for the commandline driver. In order to be fully general it also
> should work for any subclass of Space.
Actually the LNS engine is currently only moderately dependent on Space: it
will ask for a decorated Space implementing two additional methods Space*
relax() and void relaxable_var in a similar way as the master() and slave()
methods for restarts. We also provide some standard convenience template
decorator class which takes a generic Space and require the redefinition of
those specific methods by multiple inheritance in a neat way.
> Did you think about extending the Search::Options class with what you
> need and then add the appropriate commandline options to control the
> parameters in the search options? Maybe you just tell us what options you
need?
We actually did it for the non-scriptable variant of the meta-engine. That
is the LNS<template<class> class E, class T>(T*, Search::Options& o) is
meant to be used with a specific subclass of Search::Options, called
LNSOptions, which inherits from InstanceOptions and augments it with
LNS-specific parameters. This has been done by
dynamic_cast<LNSOptions*>(&o)-ing (and checking whether the correct class
has been provided).
However, the problem we are currently facing is that we would like to use
that meta-engine also with the Script<Space>::run static method (because it
is integrated in a specific GUI and we want to reuse it as much as we can),
but the LNSOptions class will be not sent through it to the end-level engine
(as it will be dispatched and some of the (standard) options coming, e.g.,
from the command-line driver, are copied in a fresh Search::Option object
(around line 300 in script.hpp) that is provided to the (meta-)engine.
Moreover, apart of the LNS specific parameters, the possibility to marshall
customized parameters directly to the engine from the command-line will ease
the development of engines by different contributors: of course I can list
the parameters we need for LNS, but I had also in mind to contribute further
hybrid solvers for which different parameters should be provided, therefore
I was looking to some more flexible way to achieve this goal.
So, I would like to agree with you some parameter passing mechanism that
could be general enough for this purpose. Once this issue is solved, Tommaso
Urli (the coauthor of this engine) and myself will be very happy to
contribute the LNS code :-) [apart of jokes, if you would like to access the
current version of the engine for searching a solution to the problem, I
will send you the source code].
Thanks and all the best,
Luca
--
Luca Di Gaspero, PhD http://www.diegm.uniud.it/digaspero/
DIEGM, Università di Udine email: luca.digaspero at uniud.it
via delle Scienze, 208 tel: +39-0432-558242
33100 Udine, ITALY fax: +39-0432-558251
-
PGP Key ID 1EE94BEA registered at http://pgpkeys.mit.edu
More information about the users
mailing list


LANG_CERT_COPIED=证书复制到剪切板
LANG_SSL_CERTS=SSL证书
LANG_USE_SERVERS=使用服务器的证书
LANG_USE_SHARED=使用服务器的共享的有记号的证书.
LANG_CREATE_SELF_SIGNED=创建你自己记号的证书
LANG_CREATE_CSR=创建一个证书请求
LANG_COUNTRY=2个字母的国家代码
LANG_STATE=州/省
LANG_CITY=城市
LANG_COMPANY=公司
LANG_COMPANY_DIV=公司部门
LANG_COMMON_NAME=普通名字
LANG_PASTE=粘贴事前准备好的证书和密匙
LANG_PASTE_FROM=从剪切板粘贴
LANG_COPY_TO=复制到剪切板
LANG_IE_ONLY=(仅仅IE)
LANG_CLICK_HERE=点击这里来粘贴一个CA根证书
LANG_NOTE=When creating a certificate request, the key will be saved and shown in the field above. The request will be shown on a new page. When you get the certificate from the Certificate Authority using the request, simply paste the certificate in the field after the key on a new line and click "Save"
LANG_CA_SSL=CA SSL
LANG_CA_CERT=Certificate Authority SSL Certificate
LANG_USE_CA=Use a CA Cert.
LANG_SSL_CSR=SSL证书请求
LANG_HERE_IS_CSR=Here is your SSL Certificate Request.  To use it, paste the Signed Certificate on the next line after
"-----END RSA PRIVATE KEY-----" on the previous page and click "Save".
LANG_ADMIN_SAVE_KEY=Be sure to copy and backup the "RSA PRIVATE KEY" along with the the request. You will need it when installing the certificate. Because you're an admin, you will be saving to the "shared server certificate" and the key is not saved anywhere until you paste it with the certificate.
LANG_SSL_ENABLED=SSL is currently enabled for this domain. You can disable it
LANG_SSL_DISABLED=SSL is currently disabled for this domain. You can enable it
LANG_SSL_HERE=这里


All transactions are subject to plan provisions.
Instructions:
- Choose a new payroll contribution.
- Click the Submit button.
Need Help?
If you think you made a mistake or you need more information about this transaction, contact the Retirement Service Center
at
1-888-888-8888.