| Class | ActiveMerchant::Billing::Integrations::Nochex::Notification |
| In: |
lib/active_merchant/billing/integrations/nochex/notification.rb
|
| Parent: | ActiveMerchant::Billing::Integrations::Notification |
Parser and handler for incoming Automatic Payment Confirmations from Nochex.
Acknowledge the transaction to Nochex. This method has to be called after a new apc arrives. Nochex will verify that all the information we received are correct and will return a ok or a fail. This is very similar to the PayPal IPN scheme.
Example:
def nochex_ipn notify = NochexNotification.new(request.raw_post) if notify.acknowledge ... process order ... if notify.complete? else ... log possible hacking attempt ... end
# File lib/active_merchant/billing/integrations/nochex/notification.rb, line 77 77: def acknowledge 78: payload = raw 79: 80: response = ssl_post(Nochex.notification_confirmation_url, payload, 81: 'Content-Length' => "#{payload.size}", 82: 'User-Agent' => "Active Merchant -- http://activemerchant.org", 83: 'Content-Type' => "application/x-www-form-urlencoded" 84: ) 85: 86: raise StandardError.new("Faulty Nochex result: #{response}") unless ["AUTHORISED", "DECLINED"].include?(response) 87: 88: response == "AUTHORISED" 89: end
# File lib/active_merchant/billing/integrations/nochex/notification.rb, line 12 12: def complete? 13: status == 'Completed' 14: end
# File lib/active_merchant/billing/integrations/nochex/notification.rb, line 25 25: def currency 26: 'GBP' 27: end
the money amount we received in X.2 decimal.
# File lib/active_merchant/billing/integrations/nochex/notification.rb, line 50 50: def gross 51: params['amount'] 52: end
# File lib/active_merchant/billing/integrations/nochex/notification.rb, line 37 37: def payer_email 38: params['from_email'] 39: end
When was this payment received by the client.
# File lib/active_merchant/billing/integrations/nochex/notification.rb, line 30 30: def received_at 31: # U.K. Format: 27/09/2006 22:30:54 32: return if params['transaction_date'].blank? 33: time = params['transaction_date'].scan(/\d+/) 34: Time.utc(time[2], time[1], time[0], time[3], time[4], time[5]) 35: end
# File lib/active_merchant/billing/integrations/nochex/notification.rb, line 41 41: def receiver_email 42: params['to_email'] 43: end
# File lib/active_merchant/billing/integrations/nochex/notification.rb, line 45 45: def security_key 46: params['security_key'] 47: end
# File lib/active_merchant/billing/integrations/nochex/notification.rb, line 59 59: def status 60: 'Completed' 61: end
Was this a test transaction?
# File lib/active_merchant/billing/integrations/nochex/notification.rb, line 55 55: def test? 56: params['status'] == 'test' 57: end


D
CLICK DESIGN
The Best Sablon In Cianjur
Belanja Baju
Pesan Baju
Keranjang
Pembayaran
Ke Halaman Admin
Saidina Husen, Logout?
Logout
Produk Kami
Offer
Moong
(1 kg)
$2.00
$1.50
Add to Cart
Offer
Sunflower Oil
(5 kg)
$10.00
$9.00
Add to Cart
Offer
Kabuli Chana
(1 kg)
$3.00
$2.00
Add to Cart
Offer
Soya Chunks
(1 kg)
$4.00
$3.50
Add to Cart


GROUP
Section: Linux Programmer's Manual (5)Updated: 2009-02-23
Index Return to Main Contents
NAME
group - user group fileDESCRIPTION
/etc/group is a text file which defines the groups on the system. There is one entry per line, with the following format:
- group_name:passwd:GID:user_list
The field descriptions are:
- group_name
- the name of the group.
- password
- the (encrypted) group password. If this field is empty, no password is needed.
- GID
- the numerical group ID.
- user_list
- a list of the usernames that are members of this group, separated by commas.
FILES
/etc/groupBUGS
As the 4.2BSD initgroups(3) man page says: No-one seems to keep /etc/group up-to-date.SEE ALSO
login(1), newgrp(1), getgrent(3), getgrnam(3), passwd(5)COLOPHON
This page is part of release 3.22 of the Linux man-pages project. A description of the project, and information about reporting bugs, can be found at http://www.kernel.org/doc/man-pages/.
Index
This document was created by man2html, using the manual pages.
Time: 05:33:59 GMT, December 24, 2015


Jenkins is one of the most searched and liked tools for continuous integration and continuous delivery on any platform. Jenkins is a Java application that has many plugins for automating almost everything at the infrastructure level. The use of Jenkins has extensively increased due to a varied set of functionalities, which it provides in the form of plugins. In this blog we will show a step by step guide of how to install Jenkins on a Windows platform.
Let's get started.
First, you need to install JDK. Jenkins currently only supports JDK8. If you need help with installing Java please look at the steps here. Once Java is running, you can install Jenkins.
- Click here to download the latest Jenkins package for Windows (currently it is version 2.130).
- Unzip the file to a folder and click on the Jenkins exe file.
- Click "Next" to start the installation
- Click the "Change" button if you want to install Jenkins in another folder. In this example I will keep the default option and click on the "Next" button.
- Click the "Install" button to start the installation process.
- The installation is processing.
- When done, click the "Finish" button to complete the installation process.
- You will automatically be redirected to a local Jenkins page, or you can paste the URL http://localhost:8080 in a browser.
- To unlock Jenkins, copy the password from the file at C:\Program Files (x86)\Jenkins\secrets\initialAdminPassword and paste it in the Administrator passwordfield. Then, click the "Continue" button.
- You can install either the suggested plugins or selected plugins you choose. To keep it simple, we will install the suggested plugins
- Wait until the plugins are completely installed.
- The next thing we should do is create an admin user for Jenkins. Put in your details and click "Save and Continue".
- Click "Save and Finish" to complete the Jenkins installation.
- Now, click "Start using Jenkins" to start Jenkins
- Finally, here is the default Jenkins page.


|
DigitalOwl
|
Public Member Functions | |
| PollQuestionController (IMapper mapper, ILogger< PollQuestion > logger, IPollQuestionService pollQuestionService, IPollService pollService) | |
| ctor More... | |
| async Task< IActionResult > | GetAll () |
| async Task< IActionResult > | GetAll ([FromRoute] int pollId) |
| async Task< IActionResult > | GetById ([FromRoute] int id) |
| async Task< IActionResult > | Create ([FromBody] CreatePollQuestion x, [FromRoute] int pollId) |
| async Task< IActionResult > | Create ([FromBody] IEnumerable< CreatePollQuestion > x, [FromRoute] int pollId) |
| async Task< IActionResult > | Update ([FromBody] CreatePollQuestion model, [FromRoute] int id) |
| async Task< IActionResult > | Delete ([FromRoute] int id) |
| Public Member Functions inherited from DigitalOwl.Api.Controllers.Base.BaseController< PollQuestion > | |
| BaseController (IMapper mapper, ILogger< TController > logger) | |
| ctor More... | |
Additional Inherited Members | |
| Protected Attributes inherited from DigitalOwl.Api.Controllers.Base.BaseController< PollQuestion > | |
| readonly IMapper | _mapper |
| Automapper More... | |
| readonly ILogger< TController > | _logger |
| Logging insatnce More... | |
| Properties inherited from DigitalOwl.Api.Controllers.Base.BaseController< PollQuestion > | |
| int | UserId [get] |
| userId whose use this endpoint More... | |
| string | Role [get] |
| Role whose use this endpoint More... | |
Definition at line 18 of file PollQuestionController.cs.
| DigitalOwl.Api.Controllers.PollQuestionController.PollQuestionController | ( | IMapper | mapper, |
| ILogger< PollQuestion > | logger, | ||
| IPollQuestionService | pollQuestionService, | ||
| IPollService | pollService | ||
| ) |
ctor
| mapper | |
| logger | |
| pollQuestionService | |
| pollService |
Definition at line 31 of file PollQuestionController.cs.
| async Task<IActionResult> DigitalOwl.Api.Controllers.PollQuestionController.Create | ( | [FromBody] CreatePollQuestion | x, |
| [FromRoute] int | pollId | ||
| ) |
Definition at line 75 of file PollQuestionController.cs.
| async Task<IActionResult> DigitalOwl.Api.Controllers.PollQuestionController.Create | ( | [FromBody] IEnumerable< CreatePollQuestion > | x, |
| [FromRoute] int | pollId | ||
| ) |
Definition at line 108 of file PollQuestionController.cs.
| async Task<IActionResult> DigitalOwl.Api.Controllers.PollQuestionController.Delete | ( | [FromRoute] int | id | ) |
Definition at line 170 of file PollQuestionController.cs.
| async Task<IActionResult> DigitalOwl.Api.Controllers.PollQuestionController.GetAll | ( | ) |
Definition at line 40 of file PollQuestionController.cs.
| async Task<IActionResult> DigitalOwl.Api.Controllers.PollQuestionController.GetAll | ( | [FromRoute] int | pollId | ) |
Definition at line 47 of file PollQuestionController.cs.
| async Task<IActionResult> DigitalOwl.Api.Controllers.PollQuestionController.GetById | ( | [FromRoute] int | id | ) |
Definition at line 57 of file PollQuestionController.cs.
| async Task<IActionResult> DigitalOwl.Api.Controllers.PollQuestionController.Update | ( | [FromBody] CreatePollQuestion | model, |
| [FromRoute] int | id | ||
| ) |
Definition at line 145 of file PollQuestionController.cs.


NOTTING HILL (1999)
Rating: 2.5 stars (out of 4.0) ******************************** Key to rating system: 2.0 stars - Debatable 2.5 stars - Some people may like it 3.0 stars - I liked it 3.5 stars - I am biased in favor of the movie 4.0 stars - I felt the movie's impact personally or it stood out ********************************* A Movie Review by David Sunga
Directed by: Roger Michell
Written by: Richard Curtis
Starring: Julia Roberts and Hugh Grant
Synopsis: Rich and famous actress Anna Scott (Julia Roberts) is walking down the street when she bumps into William Thacker (Hugh Grant), the chatty, handsome and humble owner of a tiny London bookstore barely making ends meet. Of course he accidentally spills a drink on her, and it's love at first sight. Thacker's underachieving, eccentric friends are thrilled for him, but can a relationship between glitzy Hollywood royalty and a British commoner really work out?
Opinion: We all know the romance formula. Cute meeting. Girl meets boy. Girl loses boy. Fate draws them together for the big resolution. NOTTING HILL is no different. The twist is that SHE is a celebrity and HE is a commoner, so the situation makes for a fantasy relationship that any theatergoer or fan can identify with. Meanwhile comic relief is provided by an underachieving roommate.
Julia Roberts does an excellent job playing Anna Scott, an overpaid and indulged celebrity who admits she has very limited acting ability and that her "acting" is merely good looks and body doubles. Anna is rotten at relationships and carries a lot of petty emotional baggage. Roberts is absolutely believable as the inept Anna.
NOTTING HILL, however, must be considered a chick flick rather than a guy flick. Women may thrill to a cute guy such as Hugh Grant's William Thacker, but men are sure to abhor Thacker as someone from the legendary Neville Chamberlain school of appeasement. Thacker humbly "understands" when Anna sleeps around with other men. He kowtows and submits and indulges when Anna throws cheap verbal abuse and directs mean-spirited tirades at him. His answer to Anna's persistent bullying is, "Can I get you more tea, dear?" Thacker needs a backbone, and fast.
 But we can fantasize in NOTTING HILL, can't we?
Reviewed by David Sunga June 7, 1999
Copyright © 1999 by David Sunga This review and others like it can be found at THE CRITIC ZOO: http://www.criticzoo.com email<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


---
layout: default
---
I am a Senior Software Engineer with 8+ years of experience and I enjoy building scalable web applications based on the Ruby on Rails framework.
I have a proven experience in delivering world class applications. Some of my successful(very successful) projects are RealifeChange ,
RealifeCoach ,
Punchh and MHBO.
Currently, I am working as a Software Developer at SMART PENSION in London, UK.
My areas of interest in programming is to scale and optimise the application, I firmly believe writing good code in your application is as important as having good meal for yourself.


This is an Ionic / Angular based ePub viewer written by Mark Watkins. It is derived from ePubViewer v3.0.0, written by Patrick Gaskin, but heavily re-written to make it Ionic/Angular friendly.
This app requires Microsoft Edge 15+, Mozilla Firefox 50+, Chrome 50+, or Safari 10+.


---
layout: software
dawn-win32-url: https://github.com/pioneers/PieCentral/releases/download/dawn%2F2018-02-06a/dawn-win32-ia32.zip
dawn-linux-url: https://github.com/pioneers/PieCentral/releases/download/dawn%2F2018-02-06a/dawn-linux-x64.zip
dawn-macos-url: https://github.com/pioneers/PieCentral/releases/download/dawn%2F2018-02-06a/dawn-darwin-x64.zip
dawn-latest-ver: 2018.2.6a
dawn-last-update: February 7, 2017
runtime-url: #
runtime-latest-ver: 1.1.0
runtime-last-update: Release Coming Soon
---
Introduction
Dawn is the software you will use to interface with your robot. It includes a code editor for writing your robot’s code and a dashboard for displaying data from the robot. Runtime is the software on the robot that communicates with Dawn, processes your code, and executes the commands you program.
Downloading Dawn
- Download the ZIP file of Dawn corresponding to your system by clicking one of the buttons above.
- Extract the ZIP file you just downloaded. On Windows, you can do this by right clicking on the ZIP file and selecting "Extract all" and following the instructions.
- Extracting the ZIP file will create a new folder. Open this folder and find the file "Dawn.exe" (Windows) or "Dawn" (Mac) and double click on it to start Dawn.
- You can move this folder to a different location on your computer if you wish. You can also delete the ZIP file you downloaded.
Documentation
More Resources
Version History
- We will list updates to Dawn throughout the season here.
Updating Runtime
- Download the latest version of Runtime by clicking the button above.
- Connect to the robot through Dawn.
- In Dawn, click the upload button in the upper-right corner (it should say "Upload Upgrade" on hover).
- When you see the Update window, click "Choose File" and select the Runtime update you just downloaded.
- Once your upload is complete, restart your robot to apply the update.
Known Bugs and Temporary Workarounds
- Robot can currently only support a limited number of devices at a time. - Think of your devices as a temporarily limited resource, and how you can use them most efficiently! For example, battery buzzers and team flags are not necessary to test various aspects of your robot. Try to modularize both your robot and your code to only use a few devices simultaneously, for the time being.


Class rex_system_report
Package:
redaxo
\
core
Located at
redaxo/src/core/lib/system_report.php
Methods summary
public static
#
factory
( )
public
#
get
( )
public
#
asMarkdown
( )


{% extends "base.html" %} {% load staticfiles %} {% block title %}404{% endblock %} {% block donate-nav %}class="active"{% endblock %} {% block css %} {% endblock %} {% block content %}
The page you were looking for was not found.


Doge Social Network
Home
Profile
Friends
Profile of Doge
Name:
Doge
Birthday:
Top secret
Occupation:
Celebrity
Area of occupation:
Web


Windows are resizable from all sides.
The cloned window can be positioned offset from the original window, or next to it horizontally or vertically.


---
layout: post
title: Undo your last git commit
date: '2015-03-22T11:18:00.000-07:00'
author: Mark J. Lehman
tags:
- git
modified_time: '2015-08-21T10:15:23.540-07:00'
blogger_id: tag:blogger.com,1999:blog-4459370175540830177.post-4507591959297973513
blogger_orig_url: http://spaghettirefactory.blogspot.com/2015/03/undo-your-last-git-commit.html
---
If you check my Google search history, one of the most frequent searches you'd probably see is "undo git commit." This is primarily from pulling the latest master
or staging
branch, making changes and committing accidentally before creating a new branch. So, I create the new branch with my new commit on it, but then I want to switch back to master
or staging
and nuke that last commit. Here's the very simple one-liner I use, taken directly from this extremely helpful StackOverflow answer:
git reset --hard HEAD~1


11mn face food insecurity in southern Africa, says UN
by AgenciesThe months-long drought is affecting most of southern Africa. The United Nations estimates that more than 11 million people now face crisis levels of food insecurity in places like Zimbabwe and Mozambique, where two cyclones wiped out crops earlier this year.
Among the hardest hit areas is South Africa's Northern Cape province, where many farmers are struggling to keep their families and animals alive while revenue falls and debt piles up.
The end is not yet in sight. Christien Engelbrecht, a meteorologist at the South African Weather Service, said below normal rainfall is predicted for the country and the southern African region over the next three months.
"It is clear that southern African farmers, water managers and government entities need to prepare," Engelbrecht said.


ANY GIVEN SUNDAY (Warner Bros.) Starring: Al Pacino, Cameron Diaz, Jamie Foxx, Dennis Quaid, LL Cool J, James Woods, Matthew Modine, Lawrence Taylor, Jim Brown, Aaron Eckhart. Screenplay: John Logan and Oliver Stone. Producers: Lauren Shuler Donner, Clayton Townsend and Dan Halsted. Director: Oliver Stone. MPAA Rating: R (profanity, nudity, drug use, adult themes, violence) Running Time: 168 minutes. Reviewed by Scott Renshaw.
In ANY GIVEN SUNDAY, Oliver Stone may have found the ideal subject for his unique brand of cinematic storytelling. Following the ups and downs of a fictional professional football team (the Miami Sharks) in a fictional professional football league (the AFFA), Stone dives into the trenches during the game sequences. Players taunt and strut as they try to win the game psychologically; an inexperienced quarterback sees the field only as a blur of colors, and hears only a blur of cacophanous sound. Coaches send in the X's and O's, but it's the kinetic fury of what goes on in the huddle and at the line of scrimmage that comes alive. Meet Oliver Stone, practitioner of smash-mouth film-making.
If ANY GIVEN SUNDAY had stayed on the field, focused on the intensity of games, it might have been a classic sports movie. Stone, however, has bigger issues on his mind -- as he inevitably, agonizingly always seems to. The film follows several individuals in the Sharks organization as they cope with the changing nature of the game. Long-time coach Tony D'Amato (Al Pacino) is hearing the jeers that his conservative approach is old news. New team owner Christina Pagniacci (Cameron Diaz) is trying to be taken seriously, and not just as the daughter of the late former owner. Veteran quarterback "Cap" Rooney (Dennis Quaid) is struggling with whether his battered body can stand up to more punishment after a back injury. And Cap's replacement, third-stringer Willie Beamen (Jamie Foxx) is finding his sudden success intoxicating, as well as poisonous to his relationships with teammates and his girlfriend (Lela Rochon).
Stone wants to cover all of this and more, to create as comprehensive a picture of modern professional football as he can cram into nearly three hours. He wants to address the rise of sports media as an infotaintment monster (personified by John C. McGinley as Jack Rose, an abrasive broadcaster more than faintly similar to Jim Rome). He wants to expose the yes-men and oh-yes-women who inflate athletes' egos so they can ride the gravy train. And he wants to juxtapose the fighting spirit of the players with the owners who use them and throw them away. He wants to do all this despite the fact that he has too much ground to cover to give any of his themes more than a superficial gloss. Stone stages confrontations without context, counting on the shock value of a player's wife belting her husband in the fact to make up for its absence of meaning. It's not enough in 1999 to intone breathlessly that pro sports is corrupted and corrupting. You must be prepared to tell a human story that feels human.
Oliver Stone, however, is all about intoning breathlessly these days. He's a director who just can't help underlining everything he puts on screen so the themes are tattooed on our foreheads. When a character refers to Vince Lombardi and Johnny Unitas, Stone cuts away to shots of Vince Lombardi and Johnny Unitas. When someone describes football players as gladiators, a T.V. will be showing BEN-HUR in the background. When characters are feuding, there are shots of gathering storm clouds. Any time ANY GIVEN SUNDAY is focused on the lives of its characters off the field, you keep hoping for an opportunity to discover something real about them. Stone, unfortunately, keeps steamrolling forward with split-second edits and changes in film stock, never offering a viewer the chance to contemplate what the story is about. Stone's message: It's about exactly what I'm gonna tell you it's about, and I'm gonna tell you over and over and over again.
All this is true, yet there are still those masterful game sequences. For Stone, the '90s have been all about experimentations in multimedia assault. ANY GIVEN SUNDAY takes a game that feels almost languid in its pacing on television and shows us the cranked-up energy of all the participants. Coaches make frantic sideline adjustments, and players look for an opponent's slightest giveaway of his intentions. Stone even does a brilliant job of splicing in the events in the owner's box, where oblivious partying and business talk shut the game out almost entirely. >From the you-are-there field level camera work to the twists on predictable sports movie heroics, Stone plants you inside the game. And that's the only time he shows much interest in getting inside anything. ANY GIVEN SUNDAY is Stone's grandiose attempt to make football a metaphor for all of human existence, when he could have settled for a perfectly splendid film about football as a metaphor for football.
On the Renshaw scale of 0 to 10 grid ironies: 6.
Visit Scott Renshaw's Screening Room http://www.inconnect.com/~renshaw/ *** Subscribe to receive new reviews directly by email! See the Screening Room for details, or reply to this message with subject "Subscribe".
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


--- layout: post title: history sketch date: '2018-02-08T11:30:36+01:00' categories: - Sketches picture_url: https://film-Storyboards.tumblr.com/post/170652988609/history-sketch ---


--- layout: default ---
Our goal is to tap your existing online user base to increase revenue and referrals. We bridge the gap between marketing (what needs to be done) and tech (what can be done). We do so by implementing our creative hacks and tuning your sales process, while using measurable metrics that can be tested for quantitative results.
Studio10C was created after many years of business experience primarily focused in marketing and technical solutions. We understand that every product contains hidden profits, we are here to make them visible..
THANK YOU.
Your thoughts have been sent successfully.


Battleships
#
A
B
C
D
E
F
G
H
I
J
0
1
2
3
4
5
6
7
8
9
Player1:
4 tile ships remaining:
1
3 tile ships remaining:
2
2 tile ships remaining:
3
1 tile ships remaining:
4


{% extends 'layout.html' %} {% set version = "v1-2" %} {% set heading = "Permission to contact" %} {% block beforeMain %} {% endblock %} {% block content %}
Use this service to give permission (consent) for researchers to contact you about taking part in clinical trials for a coronavirus (COVID-19) vaccine.
You can use this service if:
We'll ask you some questions including:
Then we'll ask for your permission to contact you.
Start now


Bug Fixes
- Fixed filtered lines being miscounted under the new format.
- Table > Total * conditions are now auto-converted into filters.
- Fixed issue with tab not working when a combo box dropdown is open.
- Fixed issue where typing a value in a combo box would not jump to items above the currently selected item.


Information Technology Management major with a strong desire to supplement IT academics and internship experience into a full-time position. Results-driven, with a vast technology background and knowledge in hardware, software, databases, and networking. Able to quickly comprehend new technology, systems, and concepts. An experienced educator, who has facilitated the education of today’s youth in related subjects such as robotics, beginner programming concepts, and video game design. Recognized for various academic achievements and scholarships, and eager to kickstart my career in the summer of 2018.


Encoding & Decoding
StickyEncoding facilitates the encoding and decoding of Codable
values into and out of a binary
format that can be stored on disk or sent over a socket.
Encoding is done using a BinaryEncoder
instance and will encode any Encodable
type whether you declare conformance to Encodable
and let the compiler create the code, or you manually implement the conformance yourself.
Decoding is done using a BinaryDecoder
instance and can decode any Decodable
type that was previously encoded using the BinaryEncoder
. Of course you can declare Encodable
or Decodable
conformance by using Codable
as well.
StickyEncoding creates a compact binary format that represents the encoded object or data type. You can read more about the format in the document Binary Format.
-
Overview
BinaryEncoder
facilitates the encoding ofEncodable
values into a binary format that can be stored on disk or sent over a socket.The encoder will encode any
Encodable
type whether you declare conformance toEncodable
and let the compiler create the code or you manually implement the conformance yourself.Examples
To create an instance of a BinaryEncoder:
let encoder = BinaryEncoder()
Note: You may optionally pass your own userInfo
BinaryEncoder(userInfo:)
structure and it will be available to you during the encoding process.You can encode any top even top-level single value types including Int, UInt, Double, Bool, and Strings. Simply pass the value to the instance of the BinaryEncoder and call
encode
.let string = "You can encode single values of any type." let bytes = try encoder.encode(string)
Basic structs and classes can also be encoded.
struct Employee: Codable { let first: String let last: String let employeeNumber: Int } let employee = Employee(first: "John", last: "Doe", employeeNumber: 2345643) let bytes = try encoder.encode(employee)
As well as Complex types with sub classes.
See moreDeclaration
Swift
open class BinaryEncoder
-
BinaryDecoder
facilitates the decoding of binary values into semanticDecodable
types.To create an instance of a BinaryDecoder:
let decoder = BinaryDecoder()
Note: You may optionally pass your own userInfo
BinaryDecoder(userInfo:)
structure and it will be available to you during the decoding process.To decode, you pass the Type of object to create, and an instance of encoded data representing that type.
See morelet employee = try decoder.decode(Employee.self, from: bytes)
Declaration
Swift
open class BinaryDecoder


Before Change
def _expectation(p, kern, feat, none2, none3):
if not kern.on_separate_dimensions:
raise NotImplementedError("Product currently needs to be defined on separate dimensions.") // pragma: no cover
with tf.control_dependencies([
tf.assert_equal(tf.rank(p.var), 2,
message="Product currently only supports diagonal Xcov.", name="assert_Xcov_diag"),
]):
_expectation_fn = lambda k: _expectation(p, k, feat, None, None)
return functools.reduce(tf.multiply, [_expectation_fn(k) for k in kern.kern_list])
@dispatch(DiagonalGaussian, kernels.Product, InducingPoints, kernels.Product, InducingPoints)
@quadrature_fallback
def _expectation(p, kern1, feat1, kern2, feat2):
if feat1 != feat2:
After Change
"different Product kernels is not supported.")
kern = kern1
feat = feat1
if not kern.on_separate_dimensions:
raise NotImplementedError(
"Product currently needs to be defined on separate dimensions.") // pragma: no cover
return functools.reduce(tf.multiply, [
expectation(p, (k, feat), (k, feat)) for k in kern.kern_list])
// ============== Conversion to Gaussian from Diagonal or Markov ===============


Batman Vol 8 Superheavy
After his deadliest battle to date, Batman is bruised, battered and scarred. And forever changed. Now, on the streets of Gotham, in place of the cape and cowl roams an 8-foot mechanized suit of armor. More powerful than ever before, Batman's pursuit of justice has never been more swift or efficient. But who is the new Dark Knight? And why is he...or she...here? Now in paperback, BATMAN VOL. 8: SUPERHEAVY presents the most shocking chapter in Scott Snyder and Greg Capullo's #1 New York Times …
Added
#Paperback


Next: VALUES Forms as Places, Previous: Variable Names as Places, Up: Kinds of Places
A function form can be used as a place if it falls into one of the following categories:
A function call form whose first element is the name of any one of the functions in Figure 5–7.
[Editorial Note by KMP: Note that what are in some places still called ‘condition accessors’ are deliberately omitted from this table, and are not labeled as accessors in their entries. I have not yet had time to do a full search for these items and eliminate stray references to them as ‘accessors’, which they are not, but I will do that at some point.]
| aref | cdadr | get |
| bit | cdar | gethash |
| caaaar | cddaar | logical-pathname-translations |
| caaadr | cddadr | macro-function |
| caaar | cddar | ninth |
| caadar | cdddar | nth |
| caaddr | cddddr | readtable-case |
| caadr | cdddr | rest |
| caar | cddr | row-major-aref |
| cadaar | cdr | sbit |
| cadadr | char | schar |
| cadar | class-name | second |
| caddar | compiler-macro-function | seventh |
| cadddr | documentation | sixth |
| caddr | eighth | slot-value |
| cadr | elt | subseq |
| car | fdefinition | svref |
| cdaaar | fifth | symbol-function |
| cdaadr | fill-pointer | symbol-plist |
| cdaar | find-class | symbol-value |
| cdadar | first | tenth |
| cdaddr | fourth | third |
Figure 5–7: Functions that setf can be used with—1
In the case of subseq, the replacement value must be a sequence whose elements might be contained by the sequence argument to subseq, but does not have to be a sequence of the same type as the sequence of which the subsequence is specified. If the length of the replacement value does not equal the length of the subsequence to be replaced, then the shorter length determines the number of elements to be stored, as for replace.
A function call form whose first element is the name of a selector function constructed by defstruct.
The function name must refer to the global function definition, rather than a locally defined function.
A function call form whose first element is the name of any one of the functions in Figure 5–8, provided that the supplied argument to that function is in turn a place form; in this case the new place has stored back into it the result of applying the supplied "update" function.
| Function name | Argument that is a place | Update function used |
|---|---|---|
| ldb | second | dpb |
| mask-field | second | deposit-field |
| getf | first | implementation-dependent |
Figure 5–8: Functions that setf can be used with—2
During the setf expansion of these forms, it is necessary to call get-setf-expansion in order to figure out how the inner, nested generalized variable must be treated.
The information from get-setf-expansion is used as follows.
In a form such as:
(setf (ldb byte-spec place-form) value-form)
the place referred to by the place-form must always be both read and written; note that the update is to the generalized variable specified by place-form, not to any object of type integer.
Thus this setf should generate code to do the following:
Evaluate byte-spec (and bind it into a temporary variable).
Bind the temporary variables for place-form.
Evaluate value-form (and bind
its value or values into the store variable).
Do the read from place-form.
Do the write into place-form with the given bits of the integer fetched in step 4 replaced with the value from step 3.
If the evaluation of value-form in step 3 alters what is found in place-form, such as setting different bits of integer, then the change of the bits denoted by byte-spec is to that altered integer, because step 4 is done after the value-form evaluation. Nevertheless, the evaluations required for binding the temporary variables are done in steps 1 and 2, and thus the expected left-to-right evaluation order is seen. For example:
(setq integer #x69) ⇒ #x69 (rotatef (ldb (byte 4 4) integer) (ldb (byte 4 0) integer)) integer ⇒ #x96 ;;; This example is trying to swap two independent bit fields ;;; in an integer. Note that the generalized variable of ;;; interest here is just the (possibly local) program variable ;;; integer.
This case is the same as ldb in all essential aspects.
In a form such as:
(setf (getf place-form ind-form) value-form)
the place referred to by place-form must always be both read and written; note that the update is to the generalized variable specified by place-form, not necessarily to the particular list that is the property list in question.
Thus this setf should generate code to do the following:
Bind the temporary variables for place-form.
Evaluate ind-form (and bind it into a temporary variable).
Evaluate value-form (and bind
its value or values into the store variable).
Do the read from place-form.
Do the write into place-form with a possibly-new property list obtained by combining the values from steps 2, 3, and 4. (Note that the phrase "possibly-new property list" can mean that the former property list is somehow destructively re-used, or it can mean partial or full copying of it. Since either copying or destructive re-use can occur, the treatment of the resultant value for the possibly-new property list must proceed as if it were a different copy needing to be stored back into the generalized variable.)
If the evaluation of value-form in step 3 alters what is found in place-form, such as setting a different named property in the list, then the change of the property denoted by ind-form is to that altered list, because step 4 is done after the value-form evaluation. Nevertheless, the evaluations required for binding the temporary variables are done in steps 1 and 2, and thus the expected left-to-right evaluation order is seen.
For example:
(setq s (setq r (list (list 'a 1 'b 2 'c 3)))) ⇒ ((a 1 b 2 c 3)) (setf (getf (car r) 'b) (progn (setq r nil) 6)) ⇒ 6 r ⇒ NIL s ⇒ ((A 1 B 6 C 3)) ;;; Note that the (setq r nil) does not affect the actions of ;;; the SETF because the value of R had already been saved in ;;; a temporary variable as part of the step 1. Only the CAR ;;; of this value will be retrieved, and subsequently modified ;;; after the value computation.
Next: VALUES Forms as Places, Previous: Variable Names as Places, Up: Kinds of Places


The three lines below should be
identical
.
Three lines of
text
Three lines of
text
Three lines of
text


Hi! My name is Jimin Lee, a high school freshman from South Korea. I joined Magnify Wellness because mental health is so important and I wanted to contribute to the great initiative Magnify has.
.Isabelle Gu is a junior at Westborough High School who enjoys programming and drawing in her free time. She joined Magnify Wellness in hopes to make mental health resources more accessible to everyone.
.Vedika is a sophomore in Los Angeles, California and hopes to pursue a career in computer science. She holds the position of Director of Social Media. She enjoys taking part in Model United Nations, dance classes, as well as travelling in her free time.
.Vivian Jiang is currently a sophomore at A.Y. Jackson Secondary School in Toronto, Ontario. She joined Magnify Wellness in the hopes of gaining experience working within an organization, and she also wants to put her skills and time to good use by promoting mental well-being :)
.Jean Hyun Kim is currently a high school senior in Seoul, South Korea. He is a Mental Health Changemaker, and a member of the marketing and partnerships team at Magnify Wellness. He loves watching movies and talking with people.
.Autumn Tyler is a high school sophomore and has always wanted to help her community in a positive way. She joined Magnify to help people realize how important their mental health is and she’s excited to continue her journey.
.


Nine new confirmed cases were reported from 27 November to 3 December in the ongoing Ebola virus disease (EVD) outbreak in North Kivu and Ituri provinces. The confirmed cases in this week were reported from Mandima (56%, n=5) and Mabalako (44%, n=4) Health Zones.
In the past two weeks, violence, widespread civil unrest, and targeted attacks have severely disrupted the Ebola response and restricted access to affected communities in multiple locations. As a result, several key activities of the response experienced diminished performance, including the volume of reported and investigated alerts and the number of contacts registered and followed (Figure 1, Figure 2). The volume of alerts from health zones affected by insecurity is lower than usual, and this has led to an overall reduction in the average number of alerts reported in the last seven days. Of the 3346 alerts reported, 96% were investigated within 24 hours.
The overall average percentage of contacts under surveillance in the last seven days is 70%, which is below the average for November prior to these security events (Figure 2). This is due mainly to performance being suboptimal in some areas of Beni, Mabalako, and Oicha Health Zones, with only 82% of contacts followed in Beni, 68% in Mabalako, and 42% in Oicha. These numbers are improving slowly since the events, but fluctuations illustrate the continued impact that security events have on response activities.
In the past 21 days (13 November to 3 December), 22 confirmed cases were reported from 10 of the 71 health areas within four neighbouring active health zones in North Kivu and Ituri provinces (Figure 3, Table 1): Mabalako (55%, n=12), Mandima (27%, n=6), Beni (9%, n=2), and Oicha (9%, n=2). The majority of the cases (91%, n=20) are linked to known chains of transmission. In the past 21 days, a higher proportion of cases (31%, n=8) have reported a funeral as their potential exposure to EVD compared to the average since January 2019 (7%); this is because of two separate community clusters in the health areas of Lwemba (six cases) and Bingo (two cases) linked to the burials of two probable cases.
As of 3 December, a total of 3313 EVD cases were reported (Figure 4), including 3195 confirmed and 118 probable cases, of which 2207 cases died (overall case fatality ratio 67%). Of the total confirmed and probable cases, 56% (n=1866) were female, 28% (n=936) were children aged less than 18 years, and 5% (n=163) were health workers.
*Data are presented as the most up to date information at the time of reporting.
**Excludes n=184 cases for whom onset dates not reported. Data in recent weeks are subject to delays in case confirmation and reporting, as well as ongoing data cleaning. Other health zones include: Alimbongo, Ariwara, Biena, Bunia, Goma, Kalunguta, Kayna, Komanda, Kyondo, Lolwa, Lubero, Manguredjipa, Masereka, Musienene, Mutwanga, Mwenga, Nyankunde, Nyiragongo, Pinga, Rwampara, Tchomia, and Vuhovi.
***Total cases and areas affected during the last 21 days are based on the initial date of case alert and may differ from date of confirmation and daily reporting by the Ministry of Health.
For further information about public health response actions by the Ministry of Health, WHO, and partners, please refer to the latest situation reports published by the WHO Regional Office for Africa:
WHO continuously monitors changes to the epidemiological situation and context of the outbreak to ensure that support to the response is adapted to the evolving circumstances. The last assessment concluded that the national and regional risk levels remain very high, while global risk levels remain low.
Although the number of new confirmed cases has remained relatively low, the interruption of response activities due to attacks, violence and unrest threatens to reverse recent progress. WHO and response partners are working to adapt the response strategy to protect communities from a resurgence of the outbreak while keeping all responders safe.
WHO advises against any restriction of travel to, and trade with, the Democratic Republic of the Congo based on the currently available information. Any requirements for certificates of Ebola vaccination are not a reasonable basis for restricting movement across borders or the issuance of visas for travellers to/from the affected countries. WHO continues to closely monitor and, if necessary, verify travel and trade measures in relation to this event. Currently, no country has implemented travel measures that significantly interfere with international traffic to and from the Democratic Republic of the Congo. Travellers should seek medical advice before travel and should practise good hygiene. Further information is available in the WHO recommendations for international traffic related to the Ebola Virus Disease outbreak in the Democratic Republic of the Congo.
For more information, please see:


Our story
It's time for healthcare that cares.
Everyone deserves better healthcare. People of color are suffering from a system that misdiagnoses, dismisses, and sidelines them. justcare fills this gap, by giving patients the data they need to find a responsible health provider near them. We keep hospitals accountable through our rating system, which specifically targets obstacles people of color tend to face in the healthcare process. In the future that justcare envisions, it doesn't exist. Search. Evaluate. Just care.


{% extends "template.html" %} {% block title %}Actions{% endblock %} {% block content %} Actions Overview Click on an action for details. {% for a in actions %} {{ a.title }} {% endfor %} {{ actions | length }} total {% include "includes/add_action.html" %} {% endblock %}


You can use regular C++ streams for IO, with the regular << operator and special functions like std::endl. It is however not a good idea to use the 'std::cout' and 'std::cerr' streams.
When PHP runs as a webserver module, stdout is redirected to the terminal from which the webserver process was originally started. On production servers such a terminal is not active, so any output that you send to stdout will be lost. Using std::cout in extensions that run in a webserver module is thus a no-go. But even when PHP runs as a CLI script (and std::cout does work) you still should not write to stdout directly. Writing to stdout will bypass all output handlers that may have been set up by the PHP user space script.
The PHP-CPP library offers a Php::out stream that can be used instead. This Php::out variable is an instance of the well known std::ostream class, and respects all the output buffering set up in PHP. It does essentially the same as the echo() function in PHP scripts.
Php::out is a regular std::ostream object. This has as consequence that it uses an internal buffer that needs to be flushed. This flushing occurs automatically when you add 'std::endl' to the output, or when you add 'std::flush' explicitly.
/**
* Example function that shows how to generate output
*/
void example()
{
// the C++ equivalent of the echo() function
Php::out << "example output" << std::endl;
// generate output without a newline, and ensure that it is flushed
Php::out << "example output" << std::flush;
// or call the flush() method
Php::out << "example output";
Php::out.flush();
// just like all PHP functions, you can call the echo() function
// from C++ code as well
Php::echo("Example output\n");
}
When you want to trigger a PHP error (the C++ equivalent of the PHP trigger_error()) function, you can use one of the Php::error, Php::notice, Php::warning and Php::deprecated streams. These are also instances of the std::ostream class.
/**
* Example function that shows how to generate output
*/
void example()
{
// generate a PHP notice
Php::notice << "this is a notice" << std::flush;
// generate a PHP warning
Php::warning << "this is a warning" << std::flush;
// inform the user that a call to a deprecated function was made
Php::deprecated << "this method is deprecated" << std::flush;
// generate a fatal error
Php::error << "fatal error" << std::flush;
// this code will no longer be called
Php::out << "regular output" << std::endl;
}
In the above example you can see that we used std::flush and not std::endl. The reason for this is that std::endl internally does two things: it appends a newline, and it flushes the buffer. For errors, notices and warnings we don't need the newline, but we still have to flush the buffer to actually generate the output.
There is something very peculiar with the Php::error stream: when you flush it, the PHP script ends with a fatal error and your C++ algorithm immediately exits!! Under the hood, the PHP engine does a longjump to a place deep inside the Zend engine. In the example function the 'Php::out << "regular output"; statement is therefore never executed.
This all is very unusual, and (according to us) in conflict with the general rules of decent software engineering. An output-generating function should not behave like throwing an exception. Code that looks like normal code, should also behave like normal code, and not do unexpected things like leaping out of the current call stack. We therefore advise not to use Php::error - or use it with extreme care.


Thijs was born in 1996 in Heerenveen, The Netherlands. He lived there until he finished high school.
He went on to live in
Groningen, while studying Computing Science at the University there.
Thijs currently works in a supermarket as one of its managers. In his spare time, he likes to game, watch
Netflix or jump into some or other new software project.
This small program was written in C#, using Visual Studio. It lets the user add TV Shows in order to track the progress made watching this TV Show. This way, users know exactly where they left off. Also, it keeps track of on which day of the week a new episode airs and when the next season will start if applicable. This was a small project done in order to obtain some familiarity with Visual Studio and C#.
This project was done for a small company that sells consumer fireworks. They wanted a cash
register system to automate
their Point-Of-Sale (POS) calculations of due amounts. This also benefits the customers, for
they could also see a summary
of the products they buy.
This project was written in C#, using Visual Studio. It makes use of a MS Access database to
store the product info.
These decisions were made since the system should be able to deploy on any laptop running
Windows. Also, inspecting and
adding or modifying product details had to be really easy and available through a user
friendly interface.
This project was done for a small company that sells consumer fireworks. The last few days of
every year, it is legal in the Netherlands to sell fireworks to customers. In order to increase their number of
sales, they wanted to make a brochure containing some of the deals they offer.
This project was done using Adobe InDesign and Photoshop. The final PDF had to conform to
specific requirements for printing. One hundred thousand brochures were printed and distributed within a certain area of the firework company.
This software is a novel library for Python-based Flask applications to gain insight into the evolving performance of a web service. As of yet, there is no library that supports the developer of a Flask web application to track its performance during the development lifetime of the project.
In order to track the performance, two solutions are possible. One is observing the evolution of unit test performance as the project evolves over time, the other is observing the evolution of live performance of a deployed service as this service evolves over time. This system enables them both: monitoring the evolution of the system via the monitoring of the test cases, as well as monitoring the live performance of the deployment of the service.
As a case study for testing the tool, a platform for vocabulary learning in a foreign language was utilized. This project was written in Python, in combination with Flask. This makes extending a service with the monitoring dashboard easier.
This project was done for a Bachelor Thesis in Computing Science. It was done jointly with Patrick Vogel.
This is the thesis I wrote in fulfillment of the requirements for the degree of Bachelor in Computing Science. It is about the work on the Flask Service Performance Monitoring Dashboard, which was the Bachelor thesis research project of Patrick Vogel and myself.
This thesis presents a novel library for Python-based Flask applications to gain insight into the evolving performance of a web service. As of yet, there is no library that supports the developer of a Flask web application to track its performance during the development lifetime of the project.
In order to track the performance, two solutions are possible. One is observing the evolution of unit test performance as the project evolves over time, the other is observing the evolution of live performance of a deployed service as this service evolves over time. This thesis presents and evaluates a system that enables the former: monitoring the evolution of the system via the monitoring of the test cases.
As a case study for testing the tool, a platform for vocabulary learning in a foreign language was utilized. It is a web application written in Python using Flask. Results of deploying the tool on this platform are discussed here as well.
Paper: Platform for Visualizing Evolving Web Services
This paper was written for a conference on software visualization (VISSOFT) which was held in Shanghai, China in September 2017. The paper is about the work on the Flask Service Performance Monitoring Dashboard, which was the Bachelor thesis research project of Patrick Vogel and myself. The paper is co-authored by Patrick Vogel, Vasilios Andrikopoulos and Mircea Lungu.
Tens of thousands of web applications are written in Flask, a Python-based web framework. Despite a rich ecosystem of extensions, there is none that supports the developer in gaining insight into the evolving performance of their service. In this paper, we introduce Flask Dashboard, a library that addresses this problem. We present the ease with which the library can be integrated in an already existing web application, discuss some of the visualization perspectives that the library provides and point to some future challenges for similar libraries.
The paper was accepted by the VISSOFT committee, presented at the conference by Patrick Vogel and myself, and afterwards published by IEEE under the VISSOFT 2017 conference.


The 3 signals of the torque connector are interpreted as the x-, y- and z-coordinates of a torque acting at the frame connector to which frame_b of this component is attached. Via parameter resolveInFrame it is defined, in which frame these coordinates shall be resolved:
| Types.ResolveInFrameB. | Meaning |
|---|---|
| world | Resolve input torque in world frame (= default) |
| frame_b | Resolve input torque in frame_b |
| frame_resolve | Resolve input torque in frame_resolve (frame_resolve must be connected) |
If resolveInFrame = Types.ResolveInFrameB.frame_resolve, the torque coordinates are with respect to the frame, that is connected to frame_resolve.
If torque={100,0,0}, and for all parameters the default setting is used, then the interpretation is that a torque of 100 N is acting along the positive x-axis of frame_b.
Note, the cut-force in frame_b (frame_b.f) is always set to zero. Conceptually, a force and torque acts on the world frame in such a way that the force and torque balance between world.frame_b and frame_b is fulfilled. For efficiency reasons, this reaction torque is, however, not computed.
This torque component is by default visualized as a double arrow acting at the connector to which it is connected. The diameter and color of the arrow can be defined via variables diameter and color. The double arrow points in the direction defined by the torque vector. The length of the double arrow is proportional to the length of the torque vector using parameter Nm_to_m as scaling factor. For example, if Nm_to_m = 100 Nm/m, then a torque of 350 Nm is displayed as an arrow of length 3.5 m.
An example how to use this model is given in the following figure:
This leads to the following animation


in the World
(2018)
Project (3 goals)
- Advancement of Data Visualization techniques
- Learning to start/end projects in a methodical manner
- Improvement of ability to combine various tools and techniques for the purpose of creating easily understood, navigated, useful, and meaningful visualizations
Steps
This is a timeline of the steps taken for the completion of this project:
-
Topic Selection
This step consisted of selecting a topic and a corresponding "complex" dataset.
-
Exploratory Data Analysis
This step consisted of identifying important questions to be asked. Then, the necessary features were selected for analysis. After all data-preprocessing steps were completed (utilizing Python and Microsoft Excel), subsetted datasets were created for each visualization.
-
Webpage Setup
HTML/CSS were used to create the general webpage framework. It consists of 6 pages in total.
-
Visualizations
Visualizations were created using Tableau, d3.js, and some Google Visualization API. They are mainly GeoCharts and Bar graphs.
-
Report
The Final Technical Report was meant to concisely report on the conclusions reached from this project. It brought together all the components that had been completed thus far.
-
Publication
After completing the report and webpage, the entirety of the project was published on GitHub and Zenodo. This project has been concluded.


Your PIN
Enter the following numbers from your PIN
Enter the 2nd number
Enter the 4th number
Enter the 1st number
Enter the 3rd number
Your password
Enter the full characters from your password
Enter the full password
Online Banking


{% extends "base.html" %} {% block title %}Edjective.org reference views{% endblock %} {% block content %}
Important: These pages are reference views for verifying data in the system; they are not intended for end users.
reference views


{% extends 'base.html' %} {% block content %}
I play a lot of video games. Some of the first games I played were Pokémon Gold, A Link to the Past, and AdventureQuest.
I created my Steam account in 2011 to get Portal for free, and I've been a PC gamer ever since. Back then, I mostly played Team Fortress 2. I ran my own servers and wrote some plugins.
I used to play a lot of Dota 2, and attended The International in 2016 and 2017.
I've played a lot of MMOs. I've settled on Final Fantasy XIV, but I've played Tera Online, Blade & Soul, Dungeon Fighter Online, The Elder Scrolls Online, Star Wars: The Old Republic, Spiral Knights, PokéMMO, Wakfu, and Rusty Hearts.
Here are my gaming PC's specs:


@* * Copyright 2017 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import models.messages._ @import java.time.format.DateTimeFormatter @import actions.AuthenticatedRequest @(results: MessageSearchResults, pagination: MessagePagination, unreadCount: Int, numberOfPages: Int)(implicit request: AuthenticatedRequest[_], messages: Messages) @main_template( Messages("messages.title"), topNavigation = false ) { @partials.dashboardTabs(unreadCount)
@if(results.messages.isEmpty) {@Messages("messages.noMessages")
} else {


Before Change
// Even if the file doesn"t exist, this session never gets executed we just
// use it to find out if the string_to_index_table_from_file initializer is
// compatible with tf.Transform.
vocabulary_file = tf.constant("__test_file__")
tf.contrib.lookup.string_to_index_table_from_file(
vocabulary_file=vocabulary_file)
except TypeError:
// Catch the following error from the previous TF version:
After Change
def _assert_tensorflow_version():
// Fail with a clear error in case we are not using a compatible TF version.
major, minor, _ = tf.__version__.split(".")
if int(major) != 1 or int(minor) < 4:
raise RuntimeError(
"Tensorflow version >= 1.4, < 2 is required. Found (%s). Please "
"install the latest 1.x version from "
"https://github.com/tensorflow/tensorflow. " % tf.__version__)
def _asset_files_supported():
try:
_assert_tensorflow_version()
return True


pepper.framework.sensor.obj module¶
-
class
pepper.framework.sensor.obj.
Object
(name, confidence, bounds, image)[source]¶ Bases:
object
‘Object’ object
Parameters: - name (str) – Name of Object
- confidence (float) – Object Name & Bounds Confidence
- bounds (Bounds) – Bounds in Image Space
- image (AbstractImage) – Image from which Object was Recognised
-
bounds
¶ [0, pi]}
Returns: bounds – Object Bounding Box in View Space Return type: Bounds Type: Object Bounds in View Space {x Type: [-pi, +pi], y
-
bounds3D
¶ 3D bounds (for visualisation) [x,y,z]*4
Returns: bounds3D – 3D bounds (for visualisation) [x,y,z]*4 Return type: List[Tuple[float, float, float]]
-
confidence
¶ Object Confidence
Returns: confidence – Object Name & Bounds Confidence Return type: float
-
depth
¶ Distance from Camera to Object
Returns: depth – Distance from Camera to Object Return type: float
-
dict
()[source]¶ Object to Dictionary
Returns: dict – Dictionary representation of Object Return type: Dict
-
direction
¶ Direction of Object in View Space (equivalent to self.bounds.center)
Returns: direction – Direction of Object in View Space Return type: float, float
-
distance_to
(obj)[source]¶ Distance from this Object to obj
Parameters: obj (Object) – Returns: distance Return type: float
-
id
¶ Object ID
Returns: id Return type: int
-
image
¶ Image associated with the observation of this Object
Returns: image Return type: AbstractImage
-
image_bounds
¶ [0, 1]}
Returns: bounds – Object Bounding Box in Image Space Return type: Bounds Type: Object Bounds in Image Space {x Type: [0, 1], y
-
name
¶ Object Name
Returns: name – Name of Person Return type: str
-
position
¶ Position of Object in Cartesian Coordinates (x,y,z), Relative to Camera
Returns: position – Position of Object in Cartesian Coordinates (x,y,z) Return type: Tuple[float, float, float]
-
time
¶ Time of Observation
Returns: time Return type: float
-
class
pepper.framework.sensor.obj.
ObjectDetectionClient
(target)[source]¶ Bases:
object
Object Detection Client - Communicates with pepper_tensorflow Server
Parameters: target (ObjectDetectionTarget) – Which Object Detection Server to target -
classify
(image)[source]¶ Classify Objects in Image
Parameters: image (AbstractImage) – Image (Containing Objects) Returns: objects – Classified Objects Return type: List[Object]
-
target
¶ Object Detection Target
Returns: target Return type: ObjectDetectionTarget
-
-
pepper.framework.sensor.obj.
getrandbits
(k) → x. Generates a long int with k random bits.¶


About Me
I am a second year undergraduate student from New Delhi, India,
currently exploring and working around Deep Learning and NLP. I am a Member of Association
For Computer Enthusiasts, since August 2019. Looking for research opportunities in NLP.
#Learning


Oberheim Matrix 1000
Single Patch Editor
This editor will work with the Oberheim Matrix 1000. Though they are very similar, the Matrix 6/6r will probably not work with this patch editor (yet). Someone will have to modify it (note: I'm presently using the patch name to extract the bank number; that won't work on the 6/6r).
Communicating with Edisyn Make sure that Memory Protect is off (see page 36 of the manual).
About the Matrix 1000 Menu
The Matrix 1000 does not store patch names. Normally when it sends Edisyn a patch, the patch name will look something like BNK4: 72, indicating the bank and patch number. Edisyn can instead display the patch name from the Oberheim Matrix 1000 documentation: just select Use Classic Patch Names.
Similarly, if you would like to load a patch from memory, you can look it up by patch name in the Matrix 1000 menu.
Suggestions
- If you add a lot of random noise (like >50%) to the Matrix 1000, it will often fall silent. This is almost always due to randomization of either the Amplifier section or the Amplifier Envelope (Envelope 2). I suggest that you first edit the mutation parameters to remove these sections as mutation candidates.
Gotchas
- The original ROM (1.1.1) for the Matrix 1000 can't handle real-time updates very fast: it clogs up quickly. If you have one of these machines, you should turn off Sends Real Time Changes in the MIDI menu. Alternatively you can upgrade your ROM to a better one. There are two options, 1.1.6 and 1.2.0. I suggest 1.2.0, which I think is somewhat better. If you are in Europe, you can buy the ROM (it's quite cheap) through Untergeek:
- http://www.untergeek.de/howto/oberheim-matrix-1000/oberheim-matrix-1000-firmware-v1-20/
If you are in the USA, you can buy the ROM through Bob Grieb (the author):
- http://tauntek.com/contact-information.htm
Note that even with a new ROM, the Matrix 1000 still will be slightly pokey in keeping up with certain parameters. But it's far better than the original ROM.
-
The patch editor allows you to give patches a name. This is backwards-compatible with the 6/6r. However, when you store a patch in the Matrix 1000, your name is not stored. Instead if you request the patch again, it'll come back with the name BNKb: nn, where b is the bank number, and nn is the two-digit patch number.
| By
| Sean Luke
|
| Date
| August 2017
|


Basilisks are strange, scaled, lizard-like creatures belonging to the Draconid class. They have a long lizard tail, a curved bird beak, and four limbs: webbed wings that allow them to fly, and hind legs. The most dangerous weapons of these creatures are not even sickle claws or a sharp beak, but a deadly poison - the strongest known neurotoxin that kills a person in one second. The color of the scales is usually green, turning yellowish on the belly. There are various individuals, like slightly exceeding the size of the kurolisks, with which the basilisks are often confused, to huge creatures with a wingspan of large donkeys or small dragons.


final class DataStreamWriter[T] extends AnyRef
Interface used to write a streaming Dataset
to external storage systems (e.g. file systems,
key-value stores, etc). Use Dataset.writeStream
to access this.
- Annotations
- @Evolving()
- Source
- DataStreamWriter.scala
- Since
2.0.0
- Alphabetic
- By Inheritance
- DataStreamWriter
- AnyRef
- Any
- Hide All
- Show All
- Public
- All
Value Members
-
final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
##(): Int
- Definition Classes
- AnyRef → Any
-
final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
def
clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
-
final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
equals(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
-
def
foreach(writer: ForeachWriter[T]): DataStreamWriter[T]
Sets the output of the streaming query to be processed using the provided writer object.
Sets the output of the streaming query to be processed using the provided writer object. object. See org.apache.spark.sql.ForeachWriter for more details on the lifecycle and semantics.
- Since
2.0.0
-
def
foreachBatch(function: VoidFunction2[Dataset[T], Long]): DataStreamWriter[T]
:: Experimental ::
:: Experimental ::
(Java-specific) Sets the output of the streaming query to be processed using the provided function. This is supported only the in the micro-batch execution modes (that is, when the trigger is not continuous). In every micro-batch, the provided function will be called in every micro-batch with (i) the output rows as a Dataset and (ii) the batch identifier. The batchId can be used deduplicate and transactionally write the output (that is, the provided Dataset) to external systems. The output Dataset is guaranteed to exactly same for the same batchId (assuming all operations are deterministic in the query).
- Annotations
- @Evolving()
- Since
2.4.0
-
def
foreachBatch(function: (Dataset[T], Long) ⇒ Unit): DataStreamWriter[T]
:: Experimental ::
:: Experimental ::
(Scala-specific) Sets the output of the streaming query to be processed using the provided function. This is supported only the in the micro-batch execution modes (that is, when the trigger is not continuous). In every micro-batch, the provided function will be called in every micro-batch with (i) the output rows as a Dataset and (ii) the batch identifier. The batchId can be used deduplicate and transactionally write the output (that is, the provided Dataset) to external systems. The output Dataset is guaranteed to exactly same for the same batchId (assuming all operations are deterministic in the query).
- Annotations
- @Evolving()
- Since
2.4.0
-
def
format(source: String): DataStreamWriter[T]
Specifies the underlying output data source.
Specifies the underlying output data source.
- Since
2.0.0
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
def
option(key: String, value: Double): DataStreamWriter[T]
Adds an output option for the underlying data source.
Adds an output option for the underlying data source.
- Since
2.0.0
-
def
option(key: String, value: Long): DataStreamWriter[T]
Adds an output option for the underlying data source.
Adds an output option for the underlying data source.
- Since
2.0.0
-
def
option(key: String, value: Boolean): DataStreamWriter[T]
Adds an output option for the underlying data source.
Adds an output option for the underlying data source.
- Since
2.0.0
-
def
option(key: String, value: String): DataStreamWriter[T]
Adds an output option for the underlying data source.
Adds an output option for the underlying data source.
You can set the following option(s):
timeZone
(default session local timezone): sets the string that indicates a time zone ID to be used to format timestamps in the JSON/CSV datasources or partition values. The following formats oftimeZone
are supported:- Region-based zone ID: It should have the form 'area/city', such as 'America/Los_Angeles'.
- Zone offset: It should be in the format '(+|-)HH:mm', for example '-08:00' or '+01:00'. Also 'UTC' and 'Z' are supported as aliases of '+00:00'.
Other short names like 'CST' are not recommended to use because they can be ambiguous. If it isn't set, the current value of the SQL config
spark.sql.session.timeZone
is used by default.- Since
2.0.0
-
def
options(options: Map[String, String]): DataStreamWriter[T]
Adds output options for the underlying data source.
Adds output options for the underlying data source.
You can set the following option(s):
timeZone
(default session local timezone): sets the string that indicates a time zone ID to be used to format timestamps in the JSON/CSV datasources or partition values. The following formats oftimeZone
are supported:- Region-based zone ID: It should have the form 'area/city', such as 'America/Los_Angeles'.
- Zone offset: It should be in the format '(+|-)HH:mm', for example '-08:00' or '+01:00'. Also 'UTC' and 'Z' are supported as aliases of '+00:00'.
Other short names like 'CST' are not recommended to use because they can be ambiguous. If it isn't set, the current value of the SQL config
spark.sql.session.timeZone
is used by default.- Since
2.0.0
-
def
options(options: Map[String, String]): DataStreamWriter[T]
(Scala-specific) Adds output options for the underlying data source.
(Scala-specific) Adds output options for the underlying data source.
You can set the following option(s):
timeZone
(default session local timezone): sets the string that indicates a time zone ID to be used to format timestamps in the JSON/CSV datasources or partition values. The following formats oftimeZone
are supported:- Region-based zone ID: It should have the form 'area/city', such as 'America/Los_Angeles'.
- Zone offset: It should be in the format '(+|-)HH:mm', for example '-08:00' or '+01:00'. Also 'UTC' and 'Z' are supported as aliases of '+00:00'.
Other short names like 'CST' are not recommended to use because they can be ambiguous. If it isn't set, the current value of the SQL config
spark.sql.session.timeZone
is used by default.- Since
2.0.0
-
def
outputMode(outputMode: String): DataStreamWriter[T]
Specifies how data of a streaming DataFrame/Dataset is written to a streaming sink.
Specifies how data of a streaming DataFrame/Dataset is written to a streaming sink.
-
append
: only the new rows in the streaming DataFrame/Dataset will be written to the sink. -
complete
: all the rows in the streaming DataFrame/Dataset will be written to the sink every time there are some updates. -
update
: only the rows that were updated in the streaming DataFrame/Dataset will be written to the sink every time there are some updates. If the query doesn't contain aggregations, it will be equivalent toappend
mode.
- Since
2.0.0
-
-
def
outputMode(outputMode: OutputMode): DataStreamWriter[T]
Specifies how data of a streaming DataFrame/Dataset is written to a streaming sink.
Specifies how data of a streaming DataFrame/Dataset is written to a streaming sink.
-
OutputMode.Append()
: only the new rows in the streaming DataFrame/Dataset will be written to the sink. -
OutputMode.Complete()
: all the rows in the streaming DataFrame/Dataset will be written to the sink every time there are some updates. -
OutputMode.Update()
: only the rows that were updated in the streaming DataFrame/Dataset will be written to the sink every time there are some updates. If the query doesn't contain aggregations, it will be equivalent toOutputMode.Append()
mode.
- Since
2.0.0
-
-
def
partitionBy(colNames: String*): DataStreamWriter[T]
Partitions the output by the given columns on the file system.
Partitions the output by the given columns on the file system. If specified, the output is laid out on the file system similar to Hive's partitioning scheme. As an example, when we partition a dataset by year and then month, the directory layout would look like:
- year=2016/month=01/
- year=2016/month=02/
Partitioning is one of the most widely used techniques to optimize physical data layout. It provides a coarse-grained index for skipping unnecessary data reads when queries have predicates on the partitioned columns. In order for partitioning to work well, the number of distinct values in each column should typically be less than tens of thousands.
- Annotations
- @varargs()
- Since
2.0.0
-
def
queryName(queryName: String): DataStreamWriter[T]
Specifies the name of the StreamingQuery that can be started with
start()
.Specifies the name of the StreamingQuery that can be started with
start()
. This name must be unique among all the currently active queries in the associated SQLContext.- Since
2.0.0
-
def
start(): StreamingQuery
Starts the execution of the streaming query, which will continually output results to the given path as new data arrives.
Starts the execution of the streaming query, which will continually output results to the given path as new data arrives. The returned StreamingQuery object can be used to interact with the stream. Throws a
TimeoutException
if the following conditions are met:- Another run of the same streaming query, that is a streaming query sharing the same checkpoint location, is already active on the same Spark Driver
- The SQL configuration
spark.sql.streaming.stopActiveRunOnRestart
is enabled - The active run cannot be stopped within the timeout controlled by
the SQL configuration
spark.sql.streaming.stopTimeout
- Annotations
- @throws( ... )
- Since
2.0.0
-
def
start(path: String): StreamingQuery
Starts the execution of the streaming query, which will continually output results to the given path as new data arrives.
Starts the execution of the streaming query, which will continually output results to the given path as new data arrives. The returned StreamingQuery object can be used to interact with the stream.
- Since
2.0.0
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
def
toString(): String
- Definition Classes
- AnyRef → Any
-
def
trigger(trigger: Trigger): DataStreamWriter[T]
Set the trigger for the stream query.
Set the trigger for the stream query. The default value is
ProcessingTime(0)
and it will run the query as fast as possible.Scala Example:
df.writeStream.trigger(ProcessingTime("10 seconds")) import scala.concurrent.duration._ df.writeStream.trigger(ProcessingTime(10.seconds))
Java Example:
df.writeStream().trigger(ProcessingTime.create("10 seconds")) import java.util.concurrent.TimeUnit df.writeStream().trigger(ProcessingTime.create(10, TimeUnit.SECONDS))
- Since
2.0.0
-
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()


Join our mailing list here.
Like our Facebook page here and join our Facebook group here.
Vivian Tsai<EMAIL_ADDRESS>Adriana Donis Noriega<EMAIL_ADDRESS>Dorothy Hu<EMAIL_ADDRESS>Cindy Ge<EMAIL_ADDRESS>Claudia Moncaliano<EMAIL_ADDRESS>Check out Johns Hopkins Computer Science's WiCS page, which includes a list of relevant websites for women in tech.


nips nips2003 nips2003-73 nips2003-73-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Volker Roth, Tilman Lange
Abstract: A novel approach to combining clustering and feature selection is presented. It implements a wrapper strategy for feature selection, in the sense that the features are directly selected by optimizing the discriminative power of the used partitioning algorithm. On the technical side, we present an efﬁcient optimization algorithm with guaranteed local convergence property. The only free parameter of this method is selected by a resampling-based stability analysis. Experiments with real-world datasets demonstrate that our method is able to infer both meaningful partitions and meaningful subsets of features. 1
[1] A. Ben-Dor, N. Friedman, and Z. Yakhini. Class discovery in gene expression data. In Procs. RECOMB, pages 31–38, 2001.
[2] A.P. Dempster, N.M. Laird, and D.B. Rubin. Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. B, 39:1–38, 1977.
[3] M. Figueiredo and A. K. Jain. Bayesian learning of sparse classiﬁers. In CVPR2001, pages 35–41, 2001.
[4] T. Hastie, A. Buja, and R. Tibshirani. Penalized discriminant analysis. Ann. Stat., 23:73–102, 1995.
[5] T. Hastie and R. Tibshirani. Discriminant analysis by gaussian mixtures. J. R. Stat. Soc. B, 58:158–176, 1996.
[6] T. Hastie, R. Tibshirani, and A. Buja. Flexible discriminant analysis by optimal scoring. J. Am. Stat. Assoc., 89:1255–1270, 1994.
[7] T. Hofmann and J. Buhmann. Pairwise data clustering by deterministic annealing. IEEE Trans. Pattern Anal. Mach. Intell., 19(1):1–14, 1997.
[8] T. Lange, M. Braun, V. Roth, and J.M. Buhmann. Stability-based model selection. In Advances in Neural Information Processing Systems, volume 15, 2003. To appear.
[9] M.H. Law, A.K. Jain, and M.A.T. Figueiredo. Feature selection in mixture-based clustering. In Advances in Neural Information Processing Systems, volume 15, 2003. To appear.
[10] D.J.C. MacKay. Bayesian non-linear modelling for the prediction competition. In ASHRAE Transactions Pt.2, volume 100, pages 1053–1062, Atlanta, Georgia, 1994. ¨
[11] F. Meinecke, A. Ziehe, M. Kawanabe, and K.-R. Muller. Estimating the reliability of ICA projections. In Advances in Neural Information Processing Systems, volume 14, 2002.
[12] M. Osborne, B. Presnell, and B. Turlach. On the lasso and its dual. J. Comput. Graph. Stat., 9:319–337, 2000. ¨
[13] V. Roth, J. Laub, J. M. Buhmann, and K.-R. Muller. Going metric: Denoising pairwise data. In Advances in Neural Information Processing Systems, volume 15, 2003. To appear.
[14] R.J. Tibshirani. Regression shrinkage and selection via the lasso. J. R. Stat. Soc. B, 58(1):267– 288, 1996.
[15] A. v.Heydebreck, W. Huber, A. Poustka, and M. Vingron. Identifying splits with clear separation: a new class discovery method for gene expression data. Bioinformatics, 17, 2001.


Error
We are sorry, error while fetching!
The metrics you are looking for are temporarily unavailable.
Analyse some metrics concerning the city's air quality
Air Quality Index
Carbon Monoxide (CO)
Nitrogen Dioxide (NO2)
Ozone (O3)
Sulfur Dioxide (SO2)
Inhalable particulate matter (PM10)
Fine particulate matter (PM2.5)


Share knowlege and experience regarding
COVID-19
Share knowlege and experience regarding
COVID-19
Share knowlege and experience regarding
COVID-19
Share knowlege and experience regarding
COVID-19
Share knowlege and experience regarding
COVID-19
Share knowlege and experience regarding
COVID-19


{% comment %} Table where each questiongroup is occupying a table row. The first column is labelled by the helptext of the subcategories' helptext. No numbering. Further questions are added at the bottom of the table. {% endcomment %} {% load floppyforms %} {% load list_to_columns %} {% if config.next_level == 'subcategories' %}
{{ config.label }}
{% for sub_config, sub_formsets in formsets %} {% form form using sub_config.form_template with config=sub_config formsets=sub_formsets %} {% endfor %} {% else %} {% endif %}


inavibe
bass
harp
piano
synth
midi
download MIDI support
Your PeerJS ID is
Connect to a peer:
Close selected connections
You have not yet made any connections.
Drag file here to send to active connections.
A
B
C
D
E
F


Finance Contact
<EMAIL_ADDRESS>Queries
If you have a query with the finances, use this section to raise your query with the finance contact. You must confirm any finance changes with the contact before you approve.
<EMAIL_ADDRESS>If you have a query with the finances, use this section to raise your query with the finance contact. You must confirm any finance changes with the contact before you approve.


shinyIGV Example
Goals
Introducing Rend-Seq data
The Li Lab generates end-enriched RNA sequencing (Rend-Seq) data that looks something like this:
In the bottom pane, we can see the mrp is a gene on the minus (reverse) strand of the E. coli genome and metG is a gene on the plus (forward) strand of the genome.
The top pane shows end-enriched reads from the plus strand and the middle pane shows reads from the minus strand. 5’ (often transcription start) peaks are in blue, and 3’ (often transcription stop) peaks are in red. So, for example, we can see that metG has strong 3’ peak at the end of the transcript, but not as strong of a 5’ peak. In contrast, mrp has approximately equally-strong 5’ and 3’ peaks.
Peak Calling
Introduction
By eye, it is easy to see end-enriched peaks in the data above. Our eyes are fairly adept at spotting peaks, but it can be a time-consuming process to annotate all peaks in the genome (Li Lab member Mandy Levine did just this with the small T4 genome and it took hundreds of hours).
For example, take a look at this genomic region:
It’s relatively easy to see real peaks between the thiM and rcnR gene bodies. However, the signals that we see through the thiM gene body don’t seem biological: those are probably sequencing artificats. Computationally, it might not be trivial to distinguish between these two.
Implementation
TODO


:: UKR
Ukraine first competed as an independent nation in Olympic Winter Games competition in 1994. Sixteen-year-old Oksana Bayul claimed gold just ahead of Nancy Kerrigan in a highly publicised women's individual figure skating final.


Get Real **
rated R released by Paramount Classics starring Ben Silverstone, Brad Gorton, Charlotte Brittain, Stacey Hart, Kate McEnery, Patrick Nielsen written by Patrick Wilde(based on his play "What's Wrong With Angry?") directed by Simon Shore
For quite a while, homosexuality has been trying to find a way into modern cinema. In films such as "Gods And Monsters" and "Beautiful Thing", the homosexual themes were ways to further the story, rather than shock the mainstream audience. But, I'm afraid the genre has taken a step in the wrong direction with Simon Shore's dramatic comedy "Get Real", the first feature from Paramount Classics.
 The only one whom he has told about his sexuality is Linda(Charlotte Brittain), his overweight next-door-neighbor. The two social misfits are constantly mocked, but they complement each other nicely.
One day, while Steven is in a bathroom where the gay men mingle, he gets a note from someone in the next stall, asking him to meet him outside. A few minutes later, Steven realizes that it's John Dixon(Brad Gorton), the most popular jock in school and "sex on legs"(proclaims Linda). He tells Steven that they must forget about the whole thing because he doesn't know what came over him.
While the year goes on, and different girls(most notably Jessica, played by Stacey Hart) hit on Steven and John, the two teens realize their infatuation for one another. John still denies to himself that he's gay, but he admits that he is confused. Steven, meanwhile, is coping with the fact that his parents are slowly figuring out his secret identity.
The main problem, though, with "Get Real", is that it treats "coming out" as a plot element that can fill a movie. But all of "Get Real" is just Steven contemplating whether to come out or not.
Another problem is cliches. In class, the kids just have to be learning Shakespeare's "Romeo And Juliet"(oh no, not another metaphor), while the film's own star-crossed lovers are taking their place. And of course, there's got to be the newspaper article, written by Steven, entitled "Get Real", from which the film takes its name. It's quite surprising that a film which claims to be so refreshingly original and daring can't even surpass the depth of America's latest teen comedies. "Get Real" is also very, very melodramatic, so I ended up feeling almost nothing for it's characters, making it a dull experience.
But at least newcomer Ben Silverstone gives a charming performance as Steven, with potential that shows that he will charge ahead when given a better role. And this is director Simon Shore's first film, so at least he has many more years for improvement
a review by Akiva Gottlieb<EMAIL_ADDRESS>http://www.angelfire.com/mo/film watch me on TBS' "Dinner And A Movie" May 21, 8:05pm EST
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


Here are some things that I'm working on or have worked on:
JAGSS is a command line tool for generating static web sites. It is built using python, markdown, yaml, jinja2, less, and sass. I use it for creating this site and several others.
This site aims to be an elegant front end to the movie metadata at themoviedb.org. It attempts to find matching entries in the iTunes, Amazon instant, and Nexflix catalogs and provide links directly to the desired content. It is built using Flask and is hosted on App Engine.
I put this together because I was frustrated with the state of image galleries available for Twitter Bootstrap. I was using Jekyll, Bootstrap 2, and Github pages to host this site back then. I don't use this for my photo galleries any more, but I've left the demo up for posterity.
Working with the Jekyll posts system added a little bit of complexity. I decided to make each photo its own post and create a python script that auto-generates the html files that live in the posts directory.
I built this in response to Thumbtack's programming challenges, but had a lot of fun with it, so decided to go a little overboard. The wonky UI (validate and cheat buttons) is a result of the specifications they give. It definitely made me appreciate how elegant Microsoft's original design was. When I'm done applying at Thumbtack, I may give it the more conventional buttons.
Off Bass Brass is a tuba/euphonium quartet consisting of Ryan McGeorge and Mark Jenkins on euphonium and John Cradler and Tom Holtz on Tuba. They Recorded "Knock Yourself Out" at the Landon School for Boys in early 2009 with me as their engineer. The CD was released on the Potenza Music label later that year.
This site is built using my static site generator, JAGSS and is hosted on Github Pages. It relies heavily on the Twitter Bootstrap framework. Posts and pages are written in Markdown and templates are written in Jinja2.
I built this site for my startup using JAGSS and Bootstrap. It is hosted on Amazon S3.
The Teiber Trio conists of Regino Madrid (violin), Derek Smith (viola), and Charlie Powers (cello). I built this site in 2009 using Wordpress, knowing I would not be involved in the site's maintenance. I also took the photos featured on the site.


new AsyncStorageCache(config)
initialize the cache
Parameters:
| Name | Type | Description |
|---|---|---|
config |
Object | the configuration of the cache |
- Source:
Methods
(async) clear() → {Promise}
clear the entire cache
The cache will abort output a warning:
If error happened with AsyncStorage
- Source:
Returns:
- Type
- Promise
createInstance(config) → {Object}
Return a new instance of cache with customized configuration.
Parameters:
| Name | Type | Description |
|---|---|---|
config |
Object | the customized configuration |
- Source:
Returns:
- the new instance of Cache
- Type
- Object
(async) getAllKeys() → {Promise}
Return all the keys in the cache.
Will return an empty array if error happend.
- Source:
Returns:
- Type
- Promise
(async) getCacheCurSize() → {Promise}
return the current size of the cache
- Source:
Returns:
- Type
- Promise
(async) getItem(key, optionsopt) → {Promise}
Get item from cache. It will return null if item doesn’t exist or it has been expired.
If you specified callback function in the options,
then the function will be executed if no such item in the cache
and finally put the return value into cache.
Please make sure the callback function will return the value you want to put into the cache.
The cache will abort output a warning:
If the key is invalid
If error happened with AsyncStorage
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
key |
String | the key of the item | |
options |
Object |
<optional> |
the options of callback function |
- Source:
Returns:
- return a promise resolves to be the value of the item
- Type
- Promise
(async) removeItem(key) → {Promise}
remove item from the cache
The cache will abort output a warning:
If error happened with AsyncStorage
Parameters:
| Name | Type | Description |
|---|---|---|
key |
String | the key of the item |
- Source:
Returns:
- Type
- Promise
(async) setItem(key, value, optionsopt) → {Prmoise}
Set item into cache. You can put number, string, boolean or object.
The cache will first check whether has the same key.
If it has, it will delete the old item and then put the new item in
The cache will pop out items if it is full
You can specify the cache item options. The cache will abort and output a warning:
If the key is invalid
If the size of the item exceeds itemMaxSize.
If the value is undefined
If incorrect cache item configuration
If error happened with browser storage
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
key |
String | the key of the item | |
value |
Object | the value of the item | |
options |
Object |
<optional> |
optional, the specified meta-data |
- Source:
Returns:
- Type
- Prmoise


bool getmxrr ( string $hostname , array &$mxhosts [, array &$weight ] )
Searches DNS for MX records corresponding to hostname.
Returns TRUE if any records are found; returns FALSE if no records were found or if an error occurred.


Sample text 1
Sample text 2
Sample text 3
Sample text 4
Sample text 5
Sample text 6
Sample text 7
Next
Previous


"Trekking Quotes"
Those who travel to mountain-tops are half in love with themselves, and half in love with oblivion. Chasing angels or fleeing demons, go to the mountains
-Edmund Hillary
Being positive is like going up a mountain. Being negative is like sliding down a hill. A lot of times, people want to take the easy way out, because it's basically what they've understood throughout their lives.
-Og Mandino


A web solution for the development and management of ETL processes in a multi-institution environment.
BIcenter is a web ETL tool using Pentaho Kettle as the DI execution engine. This tools offers:
The documentation about the BIcenter features and guidelines for developers is available here.
The implementation and design of this tool was conducted by the following team members:


Projects
Prototyping a Game Master Digital Assistant
Over the last year, I have been interviewing game masters (GMs) of tabletop roleplaying games (TTRPGs) about their process preparing for and running their games, with a focus on how they facilitate collaborative storytelling. I’m interested in better understanding the GMing process in order to help inform the creation of computational tools to help support GMs running TTRPGs. Here I discuss the creation process for a prototype of a computational support tool for GMs, informed by this interview process.
Science Internship Program: Virtual Reality / Physical Escape Room
I co-mentored a research project as part of the Science Internship Program in which we created an escape room that featured puzzles using both physical and virtual reality (VR) space. One escape room participant wears a virtual reality headset and can only see and interact with the virtual space. The other participant can only see the physical room and space. Working together with asymmetric information, both participants have to communicate with one another to solve puzzles and escape the room together. This project was an experiment in how to create asymmetric but cooperative puzzle-solving and studying the affordances of physical and virtual spaces.
Spatial Cognitive Implications of Teleporting Through Virtual Environments
One of the challenges in developing for virtual reality (VR) is allowing users to navigate large virtual environments (VEs) within small physical spaces. Some virtual reality navigation interfaces try to get around this problem by limiting physical movement in the space, for instance having users stand in place instead of physically walking and using the interface to move through the virtual space. Limiting users' physical motion, however, results in a loss of body-based movement cues which can result in disorientation and discomfort for the user. For this project we studied the effects of limiting body movement on spatial orientation in VR. We created different virtual environments with different VR navigation interfaces:
- Concordant: User physically walks and turns to move in the VE
- Partially Concordant: User physically turns to rotate but uses controller to change position in the VE
- Discordant: User uses controller exclusively to move and turn in VE
We looked at how well users were able to perform different triangle completion tasks (walking two legs of a triangle and pointing back to where they started) using different navigation interfaces. We also studied the effects of navigation in VEs with and without landmarks. We found that participants did significantly better using the concordant interface than either of the other two interfaces, and significantly better using the partially concordant interface versus the discordant interface. This points to the importance of body-based cues in spatial orientation, and the need to possibly develop new solutions that incorporate physical movement into navigation of VEs.


Antenna & AAU @ Asia Pacific LTE Summit 2016
Huawei and NBTC jointly held the second Asia Pacific LTE Summit 2016 in Bangkok, Thailand on June 6-7th.The event attracted more than 300+ participants, including government department officials, industry organization representatives, operators, vendors, analysts, and media.
John Farhat, CTO of Myanmar Ooredoo, shared the experience about his company's antenna modernization. Stefan Feuchtinger, Vice President of Huawei's Antenna Product Line, presented a speech about "Antenna Modernization inspiring Giga Mobile Evolution" at the seminars. Huawei also demonstrated a full range of innovative antenna solutions tailored to Asia Pacific. Moreover, Huawei antenna experts discussed antenna evolution strategies together with operators during the event.
| TIME | TOPIC | SPEAKER |
|---|---|---|
| 08:30-09:30 | Registration & Refreshment | |
| 09:30-10:00 | Opening Speech | Dr.Margaret Hu |
| 10:00-10:40 | Agile Site,Enable Better MBB | Mr.Geng Fei |
| 10:40-11:10 | Group Photo & Demo Booth Show | |
| 11:10-11:30 | Strategy of Antenna Deployment Sharing | Mr.John Farhat |
| 11:30-11:50 | Antenna Modernization Inspiring the Giga Mobile Evolution | Mr. Stefan Feuchtinger |
| 11:50-14:00 | Buffet Lunch |


Applies a focal filter with weighted neighborhood w
on a raster. The weights (w
) can be added to, subtracted from, multiplied by or divided with the raster values (as specified with weight_fun
). The focal cell is then taken as the mean, sum, minimum or maximum of the weighted values (as specified with fun
). Input and output are rasters of class stars
, single-band (i.e., only `"x"` and `"y"` dimensions), with one attribute.
focal2( x, w, fun = "mean", weight_fun = "*", na.rm = FALSE, mask = FALSE, na_flag = -9999 )
| x | A raster (class |
|---|---|
| w | Weights matrix defining the neighborhood size around the focal cell, as well as the weights. For example, |
| fun | A function to aggregate the resulting values for each neighborhood. Possible values are: |
| weight_fun | An operator which is applied on each pair of values comprising the cell value and the respective weight value, as in |
| na.rm | Should |
| mask | If |
| na_flag | Value used to mark |
The filtered stars
raster.
The raster is "padded" with (nrow(w)-1)/2
more rows and columns of NA
values on all sides, so that the neighborhood of the outermost rows and columns is still a complete neighborhood. Those rows and columns are removed from the final result before returning it. This means, for instance, that the outermost rows and columns in the result will be NA
when using na.rm=FALSE
.
The function interface was inspired by function raster::focal
. The C code for this function is a modified and expanded version of the C function named applyKernel
included with R package spatialfil
.
# Small example data(dem) dem_mean3 = focal2(dem, matrix(1, 3, 3), "mean") r = c(dem, round(dem_mean3, 1), along = 3) r = st_set_dimensions(r, 3, values = c("input", "output (mean, k=3)")) plot(r, text_values = TRUE, breaks = "equal", col = terrain.colors(11))#> downsample set to c(0,0,1)# \donttest{ # Larger example data(carmel) carmel_mean15 = focal2(carmel, matrix(1, 15, 15), "mean") r = c(carmel, carmel_mean15, along = 3) r = st_set_dimensions(r, 3, values = c("input", "output (mean, k=15)")) plot(r, breaks = "equal", col = terrain.colors(11))#> downsample set to c(1,1,1)# }