This is an introductory article on the process of designing and building a content management system (CMS) using .Net MVC.
I have written a number of books on topics such as project management and the design of electronic systems for automated homes. The writing process takes about one year and as soon as it is completed, there is a need for updates and additions. This time I will take on the challenge of building a modern content management system (CMS) using ASP.NET MVC Framework.
Writing this book as a series of online articles builds the basis of the content, and allows the reader to provide valuable input in terms of technology and varied ideas and strategies.
Our CMS provides a means to display content on the Internet for a small to mid-sized company, all of which is available for public view. The content consists of articles, images, links, and videos, with the possibility of other types of content in the future. All of the content has a very simple workflow, consisting of creating, editing, and publishing. Once published the content must stay stable for SEO purposes, meaning no changing URLs and minimal changes to the content. The authors and editors of the public view content have very little knowledge of HTML, and therefore the creation of the content must be kept free of semantic markup.
The project stakeholders of the CMS can be divided into five categories:
The following figure shows visually how the various project stakeholders interact with the CMS and its top level design.
This is my Big Hairy Audacious Goal, so let's get started.
The construction of a CMS is complex and requires substantial time and planning. The fastest way to get a product to market is to deliver the bare minimum, then allow customers (users) to determine the direction of the product. In the next article, I ask and answer “What is the minimum set of functionality that is required in a modern content management system?” This serves as our minimum product delivery.


Video game recommendation expert system
Answer these questions to get a video game recommendation
(answering each question is optional)
What is your age?
Do you like to play alone or with your friends?

PC
Playstation
XBox
Do you have any preferred video game companies? Write them here. (Company1, Company2, ...)
{% if my_questions %} {% for keyword in my_questions %}
{{my_questions[keyword]}}
Yes
No
{% endfor %} {% endif %}
Submit


MIDI class-specific Output Jack Descriptor (USB-IF naming conventions). More...
#include <MIDI.h>
Data Fields | |
| uint8_t | bLength |
| uint8_t | bDescriptorType |
| uint8_t | bDescriptorSubtype |
| uint8_t | bJackType |
| uint8_t | bJackID |
| uint8_t | bNrInputPins |
| uint8_t | baSourceID [1] |
| uint8_t | baSourcePin [1] |
| uint8_t | iJack |
Type define for an Audio class-specific MIDI OUT jack. This gives information to the host on a MIDI output, either a physical output jack, or a logical jack (sending output data internally, or to the host via an endpoint).
ID of each output pin's source data jack.
Pin number in the input jack of each output pin's source data.
Sub type value used to distinguish between audio class-specific descriptors.
Type of the descriptor, either a value in USB_DescriptorTypes_t or a value given by the specific class.
ID value of this jack - must be a unique value within the device.
Type of jack, one of the JACKTYPE_* mask values.
Size of the descriptor, in bytes.
Number of output channels within the jack, either physical or logical.
Index of a string descriptor describing this descriptor within the device.


zip_name_locate —
get index of file by name
libzip (-lzip)
#include <zip.h>
zip_int64_t
zip_name_locate(
zip_t
*archive,
const
char *fname,
zip_flags_t
flags);
The
zip_name_locate() function returns the index of
the file named
fname in
archive. If
archive does not contain a file with that
name, -1 is returned. The
flags are specified
by
or'ing the following
values, or 0 for none of them.
-
-
ZIP_FL_NOCASE
- Ignore case distinctions. (Will only work well if the file
names are ASCII.) With this flag,
zip_name_locate() will be slow for archives
with many files.
-
-
ZIP_FL_NODIR
- Ignore directory part of file name in archive. With this
flag, zip_name_locate() will be slow for
archives with many files.
-
-
ZIP_FL_ENC_RAW
- Compare against the unmodified names as it is in the ZIP
archive.
-
-
ZIP_FL_ENC_GUESS
- (Default.) Guess the encoding of the name in the ZIP
archive and convert it to UTF-8, if necessary, before comparing.
-
-
ZIP_FL_ENC_STRICT
- Follow the ZIP specification and expect CP-437 encoded
names in the ZIP archive (except if they are explicitly marked as UTF-8).
Convert it to UTF-8 before comparing.
Note: ASCII is a subset of both CP-437 and UTF-8.
zip_name_locate() returns the index of the file
named
fname or -1, if
archive does not contain an entry of that
name.
zip_name_locate() fails if:
-
-
- [
ZIP_ER_INVAL
]
- One of the arguments is invalid.
-
-
- [
ZIP_ER_MEMORY
]
- Required memory could not be allocated.
-
-
- [
ZIP_ER_NOENT
]
- No entry of the name fname
is found in the archive.
libzip(3),
zip_get_name(3)
zip_name_locate() was added in libzip 0.6. In
libzip 0.11 the return type was changed from
int to
zip_int64_t. In libzip 0.11 the type of
flags was changed from
int to
zip_flags_t.
Dieter Baron
<
<EMAIL_ADDRESS>and
Thomas Klausner
<
tk@giga.or.at>


The ailing Pope has kept very busy in the last few years, beatifying and canonising with gay abandon and creating more new saints than any of his predecessors for hundreds of years. I try to keep abreast of these important matters, but I fear that one of the new saints escaped my attention. This morning, to my shame, I did some shopping in Tesco, that temple of Mammon owned by the wretched “Lady” Shirley Porter, who is long overdue for criminal prosecution. Browsing through the cheeses, I noticed a sign announcing a special offer on “Saint Ague”. (Nearby was a stack of packets of Saint Agur, a delightful creamy blue cheese from the Auvergne.) I have never come across Saint Ague before, so he or she must be one of the new ones. I must check to see if Il Papa has also created Saint Pox, Saint Bubo, Saint Plague and Saint Black Bile, among others.


{% extends "base.html" %}
{% block content %}
Welcome to the Great British Space Race! Your opportunity to earn your astronaut wings without leaving the planet.
Join ESA astronaut Tim Peake on his mission to the International Space Station by exercising along with him and getting yourself fit for flight.
Take part in challenges and earn mission patches for your achievements. Sign up to get started on individual missions, and form teams to pool your efforts and race for the stars.
Sign Up / Log in


{% extends "base.html" %} {% block nav_jobs_class %}active{% endblock %} {% block content %}
Details
Created by {{object.created_by}} on {{object.create_dt}}
Job Type: {{object.job_type}}
Job ID: {{object.id}}
Study: {{object.study}}
Status: {{object.status}}
Edit Delete


{% extends 'base.html' %} {% block content %}
The Dev Network website is an online community designed to make your social-life more active and stimulating. The Dev network can help you maintain existing relationships with people and share pictures and messages, and establish new ones by reaching out to people you've never met before. Is a Dev Networking Website which a web based service providing its users to construct a public or semipublic profile within a bounded system? This website provides the features of keeping intact with one and all at oneplace . Dev Network lets keep in touch with your peers and pals, without boring you at the same time.Dev Network has various other attractive features of techno freaks. It’s coming up with new world which will be enjoying for every section of society.


The graviton-import-export.phar tool helps you import and export data from a graviton server using the command line.
graviton-import-export.phar
Download graviton-import-export.phar now
See the repo for more information.


Genre Support
-
gryphonent
Just thought it might be about time to rekindle my old request about showing the genre in the floating window and adding the ability to change genres (and other info settings/tags) without having to go into iTunes.
-
Greg Hurrell
For anyone interested in tracking this one...
-
iwan
any news about implementing genre support in the floating window ?
at least seeing what the genre is of the current track, this is a feature i would really appreciate
btw link above (from Wincent Colaiuta) is dead
-
Greg Hurrell
https://wincent.com/issues/103 is the working link.
No news on implementing the feature; I am unlikely to implement it myself, although Synergy is open source so it's possible someone may decide to contribute a patch.
Reply
This topic is now closed.


About
The Tech
This project is just a demo application made to experiment with the Spring Boot-stack. It uses Spring Boot 2.1.9 in Java 11 (though no fancy features was used in the making of this project). It's a rather standard Server Side Rendered application using Thymeleaf, Spring Boot Data with MySQL, Spring Boot Security, Spring Boot Web and some other bits and pieces.
One noteworthy bit though, is FlexMark. It's a great project for converting between Markdown and HTML, with a lot of nice features. I did not want to spend my time on this project implementing an advanced editor with formatting, so I chose to throw up a simple textarea and allow the writers to use Markdown to format the articles. This is converted to HTML when the articles are rendered, and leaves the Markdown in the database for easy editing later.
Client side, I used Showdown to give the authors a live preview-area of the expected result though some minor differences, like background colors, will occur.
The Code
If you would like to use or steal the project, you are free to do so, as this project is licensed under the MIT license. It is hosted on GitHub, so feel free to take a peek.
The Author
My name it Morten Olsrud. I've been enjoying the wonderful world of tech for as long as I can remember, and since I am a child of the eighties, that is as long time. Once I found out that I could make the computers do what I wanted, there was no turning back. I was hooked.
In 2003 I landed my first developer job, fresh out of school, with the self confidence only an ignorant n00b can have. Fast forward to today, and I'm still at it, though without the ignorance, a humbleness towards knowing all too well how much I still don't know.
During these years I've seen a lot more of SysOps than I want to admit, but I have still managed to do development in some form or other, creating internal tools or customer facing portals relevant to the ops-part. I've sunk my teeth in networking, security, servers and a lot of the Microsoft enterprise suit of software, like AD, DHCP, DNS etc.
I am familiar with a lot of things, even though I wouldn't call myself a Microsoft, networking, security or server expert. I am also not religious with regards to the tech and tools I use, though I do have my personal favorites, like we all do. Much love for VS Code, the Macbook and Docker Desktop! <3


BMW M3 E46 With Vertical Grille Is A Bit Too Much
Can the E46 handle BMW's new grille design?
by Chris OkulaIf you’re not familiar, BMW recently revealed the polarizing M4 concept which debuted a massive new grille and departure from the current BMW design language. A leaked image from the BMW factory showed a new M4 sporting this controversial grille which then lead BMW to confirm the design was going into production. This got us wondering, what if previous iconic BMWs used this new grille design?
Luckily Youtuber TheSketchMonkey put his skills to work adding this new design language to the iconic E46 M3 coupe. The E46 M3 is one of the cleanest BMW designs to ever grace showrooms and is regarded as one of the best M3’s ever made. But can the E46 make the new BMW grille look good?
Gallery: BMW M3 E46 With Vertical Grille Is A Bit Too Much
The new BMW grille is supposed to harken back to BMW’s of the 1920s which featured grilles that were skinny and long rather than today’s shorter and wider design. Modern BMWs simply cannot make the grilles any wider so BMW decided to make them longer.
Rather than slowly introduce a longer girl across generations, BMW is diving right into the new design language. This bold move certainly garnered a lot of press, but will it pay off on the bottom line? Well, the last time BMW radically changed its design language during the Chris Bangle design era, which spans from 1992 to 2008, sales increased dramatically.
Top M4 concept news
An E46 M3 with the same grille from the M4 concept is a lot to handle. TheSketchMonkey is right to point out that we’re so used to seeing the E46 M3 that completely changing the front end is a little jarring. The clean lines and reserved styling of the E46 allowed it to stand the test of time and adding a different grille takes away from its timeless design.
Can our minds adapt to BMW’s new grille design?
Source: TheSketchMonkey


|
JNIPort for Dolphin Smalltalk |
|
|
Back to Goodies |
The Status Monitor's Classes PageThe Classes Page is a plug-in page for the Status Monitor. It displays all the classes and types that JNIPort currently knows about. It is essentially a tree view of the contents of the class registry.
The tree view should be pretty self-explanatory. When a class is selected the right hand panel will display any wrapper methods that JNIPort has generated automatically for that class. It also displays the inheritance structure of the Java class itself, the Smalltalk class that is used to wrap references to instances of that class, and the Smalltalk class of its class static. This page adds a 'Class' menu to the main menu (it is identical to the context menu in the tree view). Some of the options are discussed below. 'Class⇒Find Java class...' and 'Class⇒Find/Load Java class...' both allow you to search for a named class in the class tree. The difference is that one of them is restricted to searching through the already-loaded classes (but it is case-insensitive and allows wildcards, like the class search in Dolphin's CHB); the other will load a Java class if it is not already loaded, but that means that the name has to be specified completely and accurately.
'Class⇒Browse JavaDoc...' will attempt to find and open a web browser on the JavaDoc
documentation for the selected class. That uses a search path to find the JavaDoc files. The path
has a global components, which can be set with the 'Tools⇒Options⇒Global JavaDoc path...'
menu option; it should be set to a ;-separated list of folder names, where the folders are
the roots of JavaDoc file hierarchies (for instance, if you have installed the JDK's Java
documentation in 'Class⇒Generate instance-side wrappers...' and 'Class⇒Generate class-side wrappers...' launch the Wrapper Wizard to help generate wrapper methods for the selected Java class. |
Copyright © Chris Uppal, 2003-2005
Java, JNI (probably), JVM (possibly), and God knows what else, are trademarks of Sun Microsystems, Inc.


Georgia Works
Dashboard
Tables
Logout
Dashboard
Application Page
Add New Client
Participant ID
Last Name
First Name
Date of Birth
Social Security Number
Address
Phone Number
Email Address
Home Town
Prior Felonies
Drugs Used
Assignment
Sex
Case Manager
Education
Medications
Health Conditions
Time Spent Homeless
Disabilities
Admin Date
Submit
{% if errors %}
{{ errors }}
{% endif %} {% if success %}
{{ success }}
{% endif %}
Ready to Leave?
×
Select "Logout" below if you are ready to end your current session.


---
layout: post
title: Create a mail using GMAIL
date: 2012-12-18 09:03:00.000000000 +05:30
type: post
published: true
status: publish
categories:
- Electronic Mail
- EMail
- GMAIL
- Google
tags: []
meta:
blogger_blog: www.technoruler.com
blogger_author: VISWAPRASATH KS
blogger_cb097c283b9bbfde97b4822e7250157d_permalink: '2187509486558591521'
author:
login: viswaprasath
email<EMAIL_ADDRESS>display_name: Vitchu
first_name: ''
last_name: ''
---
இங்கே மின்னணு அஞ்சல் மூலம் எப்படி ஒரு நபர் கடிதம் மற்றொரு நபர் அனுப்ப முடியும் இங்கு விவாதிக்கப்படும்.
எப்படி ஒரு அனுப்பிய அஞ்சல் பார்க்க வேண்டும் இங்கே கூறினார்.
In this last post I have told about how to create a Gmail account. Here I would like to share about how to send a electronic mail using your Gmail. I have told about how to add the large files, how to format the contents in that. Please see the text if you want in english. Video is in tamil
Steps to send mail from your gmail account.
- Click on Compose button
- In TO field type to whom you are going to send the mail.
- In the SUB field type the subject what the mail is about.
- In big white area type the message going to send.
Adding the document
If you are going to add below 25mb then you click on clip like button which is called as attach a file or if you are going to add more than that click on triangle shaped button insert using drive.
Adding the link in the message
Click on the chain like structure and in the text to display field write the word. and in the webaddress give the correct website address.
To format your text area
- Click A first after choosing your text to format
- Click on tT button for deciding the text
- before tT aside of it will be used for choosing the different types of fonts.
- In the side of tT right side you can see B(for bold), I(for italic), U(for underline).
- you can add two types of bullet points
Inserting Invitation
- Click on 31 button.
- A pop-up will come
- in that
- then in when give the time for the meeting
- in calendar give which one you will use.(will deal more about calendar in next coming videos )
- then finally give the small description
4.Finally insert invitation button
Finally click on SEND button.


[gecode-users] branchings methods Space* arguments
Christian Schulte
cschulte at kth.se
Fri Aug 31 11:36:26 CEST 2007
Hi,
The best of all explanations: simplicity (and hence efficiency). No
datastructure in Gecode stores its home space, instead all operations that
might need a space get it passed as argument. Variables, propagators, etc,
still belong to its single home space, however they just do not store the
space information. This leads to much stricter invariants (compared to the
Mozart design to store the home space everywhere) and hence less bugs.
And the reason why pretty all operations need a space is for (that is, at
least) memory management: remember, memory is managed per space. That in
particular includes operations that modify variable domains either directly
or indirectly.
Cheers
Christian
--
Christian Schulte, www.ict.kth.se/~schulte/
-----Original Message-----
From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On Behalf
Of Filip Konvicka
Sent: Friday, August 31, 2007 10:38 AM
To: users at gecode.org
Subject: [gecode-users] branchings methods Space* arguments
Hi,
my new propagators run just fine :-) Now I wanted to do create a
branching, and I don't understand why status(), descrption() and
commit() take the "Space *home" parameter. I thought that a branching is
bound to "its" space in the constructor, and that it would always
operate on that space. I also thought that it would, in the constructor
or in the post() function, create some views of some variables in the
space, and operate on them instead of accessing the space directly. In
fact, the same holds for propagators as well.
Can you explain, please?
Thanks,
Filip
_______________________________________________
Gecode users mailing list
users at gecode.org https://www.gecode.org/mailman/listinfo/gecode-users
More information about the gecode-users
mailing list


#import "template.html" as template><EMAIL_ADDRESS>Newbiecoin (NEWB) is a protocol, coin, and client used to run decentralized applications such as creating and backing decentralized crowdfunding projects , buying/selling in a decentralized exchange, etc. The protocol is built on top of the Bitcoin blockchain. Coins were created by burning Bitcoins during a creative "Twin Proof of Burn" period.
Newbiecoin is modified from ChanceCoin's open source. (Thanks Magician and Venetian . Here is more about ChanceCoin : https://bitcointalk.org/index.php?topic=528023.0).
Like other crowdfunding platforms such as Kickstarter, NDCP will serve as a means for users to create projects and pledge funds to others. However, websites like Kickstarter can charge as much as 10% of a projectí»s total funds, making it harder for projects to successfully raise enough money. In NDCP , there is ZERO charge fee!
In many cases, centralized platforms impose restrictions on project creators that add to the burden of their task. Decentralization, on the other hand, empowers them to raise funds in a more proactive manner.
From a security perspective, NDCP protects users by not hosting private keys on any centralized server. This makes the platform a poor target for hackers or other exploiters.
Decentralized crowdfunding allows for more comprehensive vetting processes. In turn, this helps projects prove themselves to possible donors and increase their chances of success.
NDCP will support newbiecoin transactions and could lead to a reshaping of the peer-to-peer finance visio.
Maybe it will help us find more advanced features and services within the Newbiecoin/Bitcoin hybrid-network.
NOTICE: As a decentralized application, please use it at your own risk!


Default Package Settings
Build artifacts (.hart files) can be made available to all Habitat
users or restricted to members of this origin.
Public packages
Package build will appear in public search results and
can be utilized by any user.
Private packages
Package builds will NOT appear in public search results
and can ONLY be utilized by members of this origin.


Welcome to the SCRAPING CLUB!
How to use:
Instagram
-
scrape instagram profile by entering this address
{web-domain}/instagram/profile/{ig_username}
-
scrape instagram profile post by entering this address
{web-domain}/instagram/post/{ig_username}
-
scrape instagram hashtag post by entering this address
{web-domain}/instagram/post/hashtag/{hashtag_name}
Facebook
-
scrape facebook profile by entering this address
{web-domain}/facebook/profile/{fb_username}
-
scrape facebook page post (public page) by entering this address
{web-domain}/facebook/page/{page_name}
-
scrape facebook group post (public group) by entering this address
{web-domain}/facebook/group/{group_name}


Shah Abdul Hannan
Former Secretary Government of the People’s Republic of
Bangladesh
Shah Abdul Hannan is a Bangladeshi Islamic philosopher, writer,
economist, educator and media personality.
Prof. Haider Ali
Haider Ali is Professor of Dhaka University in Department of CSE
Haider Ali is the Professor and Head of CSE in Dhaka University.
He is a Phd holder of of Dhaka University and he is head of CSE
sence 2010.
Professor Dr. Md. Korban Ali
Professor Dr. Md. Korban Ali was the ex Professor of RU
Korban Ali was a teacher of Rajshahi University. He was also
Treasure and Dean of MIU Engineering faculty. He was also the
Head of CSE dept.
Prof. Dr. Mohammad Kaikobad
People of Bangladesh Possess Unparalleled Enthusiasm and
Strength
In 1999, we went from BUET to IIT Kanpur in India to participate
in a programming contest. The IITs of India are renowned
throughout the world.
Mahadi Hasan
Mahadi Hasan is a lecturer of Dept. of CSE at MIU
Mahadi hasan passed BSc in EEE from KUET (Khulna) and MSc from
BUET in ICT. He is now a Lecturer of MIU in CSE Dept.
Mahadi Hasan
Mahadi Hasan is a lecturer of Dept. of CSE at MIU
Mahadi hasan passed BSc in EEE from KUET (Khulna) and MSc from
BUET in ICT. He is now a Lecturer of MIU in CSE Dept.


COLOR OF NIGHT A film review by Raymond Johnston Copyright 1994 Raymond Johnston
COLOR OF NIGHT is yet another derivative serial killer film. If you have seen PSYCHO, THE HEARSE, and TOOL BOX MURDERS there is absolutely nothing new here. What is unusual is the fact that a truly fine cast including Bruce Willis, Ruben Blades, Brad Dourif, and Lesley Anne Warren are trapped trying their best to breath life into the stillborn double entendres and tired plot cliches of the hackneyed "mystery." Even action star Lance Henriksen is left with nothing to do but talk in the endless and very unconvincing group therapy sessions that make up the bulk of the film. Willis, as the psychologist, does the same happy-go-lucky smart aleck tough guy turn he has become famous for. The problem is that a psychologist should be sensitive and understanding, at least professionally. Blades, Dourif, Warren, and Henriksen are thinly written cardboard characters. Blades, who in real life has a degree from Harvard, does another hot tempered, dim witted Chicano stereotype.  Some of this is supposed to be funny, but seeing a decent actor in truly bad make-up given so little to make a character from is merely sad.
The only actor who can count this film as a career plus is Jane March, whose last film was The Lover. Her character has some depth and she really does shine on the screen. The few scenes of her with Willis are the only ones in the film worth watching, although she is in relatively little of the film as a character named Rose.
Much of the plot, however relies on a transparent gimmick that is poorly executed. The obviousness of this gimmick destroys any sense of mystery early on. One simply waits for the characters on screen to notice what is painfully apparent.
Disney, who owns the company that released this film, has cut the film to an R rating. No amount of additional scenes, however, could make COLOR OF NIGHT into a good film.
.
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


Hi, I'm Jed, a freelance web developer based in London. I work with JavaScript, Node.js, HTML5, CSS3 and Flash.
This website requires a modern browser and JavaScript to be enabled.


Tools for quantitiative fluorescence microscopy
ImageJ plugins
ImageJ is a versatile, open, and extendable image
processing program. We developed a number of plug-ins for ImageJ to accomplish common task
in fluoresence microscopy.
Blind decomposition of spectrally resolved data - single excitation
Plug-in and documentation available here: PoissonNMF
Blind decomposition of spectrally resolved data - multiple excitation
Plug-in and documentation available here: PoissonNTF
Optimize your choice of excitation wavelength and spectra channel
Plug-in and documentation available here: Optimize Channels
Library of spectra
All our plug-ins use a libray of spectra. To get started, a sample library can be download
here. Unzip the file and move the folder into the ImageJ
plugins folder.


Before Change
newsweepable[key] = value
else:
newsweepable[key] = [value]
expandsweepable = [
dict(zip(newsweepable.keys(), v))
for v in itertools.product(*newsweepable.values())
]
return [
_resolver_to_sweep(ParamResolver(cast(Dict, dictitem)))
for dictitem in expandsweepable
]
if isinstance(sweepable, Iterable) and not isinstance(sweepable, str):
return [
After Change
return [sweepable]
if isinstance(sweepable, dict):
if any(isinstance(val, Sequence) for val in sweepable.values()):
warnings.warn(
"Implicit expansion of a dictionary into a Cartesian product "
"of sweeps is deprecated and will be removed in cirq 0.10. "
"Instead, expand the sweep explicitly using "
"`cirq.dict_to_product_sweep`.",
DeprecationWarning,
stacklevel=2)
product_sweep = dict_to_product_sweep(sweepable)
return [_resolver_to_sweep(resolver) for resolver in product_sweep]
if isinstance(sweepable, Iterable) and not isinstance(sweepable, str):
return [


--- layout: post title: WebAccounts, making social/cloud easier categories: - KDE - Software Libre tags: [] status: publish type: post published: true meta: _edit_last: '2' dsq_thread_id: '2150472168' author: login: afiestas email<EMAIL_ADDRESS>display_name: afiestas first_name: Àlex last_name: Fiestas ---
This blogpost was written 2 months ago, mind that !
As you may know, for the last months I have been working on BlueSystems, one of my main projects has been creating a working prototype of "WebAccounts".
What is WebAccounts?
It is a centralize place where both, users and applications can configure accounts related to various social/cloud services such twitter, identi.ca, google, facebook, dropbox, owncloud, ftp servers...
How is it done?
We have implemented a KCM (module within System Settings) that allows the user to configure a set of accounts (at the moment Google, Facebook, Owncloud and runnersID), once the account is configured you can enable a few services for each account, for example for Google you can enable: email, calendar, contacts, tasks and chat.
Right now, the only integration is from within WebAccounts towards the already existing subsystems such akonadi or telepathy. In the future will be those projects the ones providing plugins and asking WebAccounts for credentials and information.
Is it really worth it?
In Akademy-es 2012 we presented the project to the audience there. One of the points I added in the slide was the amount of steps needed to configure a Google account right now and how many steps were needed to do it in WebAccounts. I don't remember the exact number but it was something like 25 to 3.
Places where to configure a Google account right now:
With WebAcounts this would be:
As you can see, the amount of steps has been reduced drastically actually bringing the possibility of integrating these kind of accounts in the workspace in an easy and clean way.
How it looks like?
Be aware that this is a prototype! I expect the real version to look way nicer !
And how it works?
(Choose 1080 quality for better video)
Future?
Big part of WebAcounts future is going to be discussed at Akademy2012, where I hope to trace a roadmap together with the rest of people interested on it so we can push this concept further.


The intern feeling
Every now and again we come across someone that can easily give us the “Intern feeling”. No, not the “Bring me my coffee” feeling. But more of someone that know so much about something that you just want to be around him or her to absorb everything.
This is probably one of the best things about working on the web development field. Nobody knows everything about the subject, but there’s always someone that knows a bit more than you do, and if you’re willing to learn and listen, you ca grow everyday.
He’s the thing that I’ll never understand, some people don’t like to be around others that clearly know more than they do about the subject. They feel rejected or inferior. I tell you what, if someday I’ll happen to take on a job where I’m the moron, and I’m the person that knows less about the stuff we’re working on, man I’ll be so happy (i’ll be sad if after a year i’m still the moron). Imagine learning something new everyday without even having to look for it. Just in your normal day job, talking with your peers.
Just be happy that you’re learning or have someone to learn from everyday.


#include <Pretty.hpp>
◆ asset_id
| AssetIdType hsrcore::wallet::PrettyReserveBalance::asset_id |
◆ available_balance
| ShareType hsrcore::wallet::PrettyReserveBalance::available_balance |
◆ balance_id
◆ claimed_balance
| ShareType hsrcore::wallet::PrettyReserveBalance::claimed_balance |
◆ duration
| uint32_t hsrcore::wallet::PrettyReserveBalance::duration = 0 |
◆ original_balance
| ShareType hsrcore::wallet::PrettyReserveBalance::original_balance |
◆ reserve_balance
| ShareType hsrcore::wallet::PrettyReserveBalance::reserve_balance |
◆ sharedrop_address
| optional<string> hsrcore::wallet::PrettyReserveBalance::sharedrop_address |
◆ start_time
| time_point_sec hsrcore::wallet::PrettyReserveBalance::start_time |
The documentation for this struct was generated from the following file:
- F:/hshare_org/Hcash/libraries/include/wallet/Pretty.hpp


{% extends "layout.html" %} {% block page_title %} DBS Prototype {% endblock %} {% set main_question = "When did you live
at this address?" %} {% block content %}
{% include 'includes/phase_banner_alpha.html' %}
Back
{% include 'includes/error_summary.html' %} {# include if this page has validation requirements #}


Error-Based
When exploiting an error-based SQL Injection vulnerability, attackers can retrieve information such as table names and content from visible database errors.
Error-Based SQL Injection Example
https://example.com/index.php?id=1+and(select 1 FROM(select count(*),concat((select (select concat(database())) FROM information_schema.tables LIMIT 0,1),floor(rand(0)*2))x FROM information_schema.tables GROUP BY x)a)
This Request Returned an Error
Duplicate entry 'database1' for key 'group_key'
The same method works for table names and content. Disabling error messages on production systems helps to prevent attackers from gathering such information.


Roberts lifts Georgia St. over California Baptist 69-60
by The Associated PressRIVERSIDE, Calif. (AP) — Justin Roberts had 14 points, six rebounds and five steals as Georgia State defeated California Baptist 69-60 in the 2K Classic on Saturday night.
Kane Williams also had 14 points for Georgia State (3-3). Corey Allen added 10 points and Damon Wilson had eight rebounds.
De’jon Davis had 20 points, 12 rebounds and three blocks for the Lancers (3-3). Brandon Boyd added 13 points. Milan Acquaah had six rebounds and six assists.
Georgia State matches up against Charlotte at home on Wednesday. California Baptist plays South Dakota at home on Wednesday.
___
For more AP college basketball coverage: https://apnews.com/Collegebasketball and http://twitter.com/AP_Top25
___
This was generated by Automated Insights, http://www.automatedinsights.com/ap, using data from STATS LLC, https://www.stats.com
The Associated Press


Usually, editors without any frontend background makes a lot of mistakes in html code.
On the other side - there is a lot of WYSIWYG editors, that brings them too much freedom,
which leads to different appearence of publications.
BrickyEditor solve this problems: editors can use only prepared blocks of content and don't need to write any code.
Your longrids and articles will be in one clean style.
Since BrickyEditor can save blocks as JSON, not only in rendered HTML, you can easily deliver your content to mobile platforms
and render it natively, without


Hype about React
Kamil Grabek
What is React?
- Released for public in May 2013
- Library for creating UIs
- Don't confuse with MVC, MVW, etc.
Components & JSX
Components & JSX
- DRY code
- Readability
- Life cycle
- Mounting
- Updating
- Unmounting
SEO friendly
SEO friendly
- SPA + SEO = HARD TIME
- Rendering page on server
FLUX
FLUX
- One direction data flow
- Combining with React
- Bug tracing
- Optimizations ready
EFFICIENCY
EFFICIENCY
- Changing DOM is costly
- Building app state in virtual DOM
- Smart diffing, minimal patching
COMMUNITY
COMMUNITY
- One of the biggest at the time
- Big companies backing up
- and big projects using it:
- Facebook :)
- Instagram
- Netflix and much, much more
WEB ONLY?
WEB ONLY?
- React Native
- Building CLI UI with React?
- react-blessed
- react-blessed-contrib
- and others projects using React design pattern
DEBUGGING & ANALYSING
DEBUGGING & ANALYSING
- React devTools
- ?react_perf
- Performance Tools
THANKS FOR LISTENING
RESOURCES
- https://facebook.github.io/react/
- https://facebook.github.io/flux/
- https://github.com/enaqx/awesome-react
- https://github.com/g3f4


- changeTypeLabel(String) - Method in class Test.Dialog
-
- changeValueLabel(String) - Method in class Test.Dialog
-
- childPercent - Variable in class Test.LBPParameters
-
A double variable to store the percentage of chromosomes per iteration
that are children of the previous iteration's best chromosomes
- chromos - Variable in class Test.Main
-
A Chromosome array thet stores the chromosomes generated by the programs last
iteration
- Chromosome - Class in Test
-
A class used to create instances of chromosomes to solve a Line Balancing
Problem
- Chromosome() - Constructor for class Test.Chromosome
-
An empty class constructor
- Chromosome(Task[]) - Constructor for class Test.Chromosome
-
- computationalTime - Variable in class Test.Chromosome
-
A long variable that stores the time it took to computate the chromosome
- configureTables(int) - Method in class Test.Main
-
A method to configure a table to its default parameters
- contains(int[], int) - Method in class Test.Chromosome
-
A method to check whether a given value exists within an array
- contains(List<Integer>, int) - Method in class Test.Chromosome
-
A method to check whether a given value exists within a List
- contains(int[], int) - Method in class Test.Main
-
A method to check whether a given value exists within an array
- converter - Class in Test
-
- converter() - Constructor for class Test.converter
-
Deprecated.
- crossOver(Chromosome, double, long, int) - Method in class Test.Chromosome
-
A method to cross the chromosome with another to create a child
- cycleTime - Variable in class Test.Chromosome
-
A double variable containing the problem's cycle time
- cycleTime - Variable in class Test.LBPParameters
-
A double variable to store the problem's cycle time
- CycleTimeDialog - Class in Test
-
A class that extends Dialog and asks an for the Cycle Time of the problem
- CycleTimeDialog() - Constructor for class Test.CycleTimeDialog
-
Class Constructor


Creator: Dean Hiller<EMAIL_ADDRESS>Feedback on task and documentation are welcome!
Describe your design dependencies in an xml file, and this task will enforce them so they are not violated
For example, if there are three packages in one source tree
<taskdef resource="net/sf/antcontrib/antlib.xml"> <classpath> <fileset dir="XXXXXX"> <include name="**/*.jar"/> </fileset> </classpath> </taskdef>
| Attribute | Description | Required |
| jar | The jar file of who's design we want to validate | required |
| design | The file that specifies the design in xml format(Examples below) | required |
| circularDesign | I strongly encourage you not to use this. This turns on allowing circular dependencies. There is always a way to get around circular dependencies, and I suggest you use it instead of introducing a circular dependency. If you think you have found one you can't work around, send me mail and maybe I can give you some ideas. | optional(default=false) |
No nested elements allowed
The design file is an xml based file specifying dependencies that are ok. Any dependencies not specified will not be allowed and will make sure the build fails. Examples of the contents of the design file can be found below.
The root element of the design file is 'design'. Here are design's allowed subelements.
| Subelement | Description | Required |
| package | subelement representing a package and it's dependencies | One or more Required |
Here are package elements allowed attributes and subelements
| Attribute | Description | Required |
| name | A smaller nickname for the package to reference in the depends subelement or attribute | Required |
| package | The package to compile such as biz.xsoftware.presentation | Required |
| depends | Contains one and only one 'name' of a package to depend on(taken from name attribute above). If you want to specify more, use the depends subelement | Optional(Default=no dependencies) |
| subpackages | Can be set to include or exclude. Basically allows classes in subpackages to be part of the package specified.(see examples below) | Optional(default=exclude) |
| needdeclarations | Can be set to true or false. True means if other packages depend on this package, a depends subelement or attribute must exist stating the dependency. False means other packages need not declare they depend on this package. This should be used sparingly for things like java.lang. By default "java" package and all subpackages are set to false. This can be overridden if you need however so you can make sure only certain packages depend on java.util or something if you really need that. (see examples below) | Optional(default=true) |
| Subelement | Description | Required |
| depends | Contains one and only one 'name' of a package to depend on(taken from name attribute above) | One or more Optional |
<verifydesign jar="application.jar" design="design.xml"/>
That is simple enough. application.jar is the jar I am verifying the design of. design.xml contains the design I want the jar file to adhere to. If it does not adhere to that design, the build fails. Now let's move on to define the contents of design.xml file.
These lines would be in dependencies.xml..... <design> <package name="alljavax" package="javax" subpackages="include" needdeclarations="false"/> <package name="util" package="biz.xsoftware.util" subpackages="include"/> <package name="dataaccess" package="biz.xsoftware.dataaccess"/> <package name="business" package="biz.xsoftware.business" depends="dataaccess"/> <package name="presentation" package="biz.xsoftware.presentation"> <depends>business</depends> <depends>util</depends> </package> </design>
Notice in this example, if biz.xsoftware.dataaccess.XYZClass depended on biz.xsoftware.util.Util, the build would fail since that package dependency is not defined. Similarly, any class in biz.xsoftware.presentation cannot depend on any class in biz.xsoftware.dataaccess
Also, notice that biz.xsoftware.presentation.Gui is allowed to depend on biz.xsoftware.util.pres.ClassInSubpackage because subpackages is set to include. This allows subpackages of biz.xsoftware.util to also be included in the design without having to define every subpackage.
Lastly, notice the first line so javax and all javax subpackages can be depended on without declaring them. Use this sparingly though as sometimes you might want to isolate dependencies like depending on JMX to a certain package. For example, you may want only biz.xsoftware.management to depend on JMX and nothing else to depend on it. If you declare the same declaration I declared here for javax, you will not be able to guarantee that.
<design> <package name="wad" package="<default package>" subpackages="include"/> </design>
<design> <package name="service1" package="biz.xsoftware.service1" subpackages="include"/> <package name="client1" package="biz.xsoftware.client1" depends="service1"/> <package name="service2" package="biz.xsoftware.service2"/> <package name="client2" package="biz.xsoftware.client2" depends="service2" subpackages="include"/> </design>
Note that here for service 1, classes in package biz.xsoftware.client1 can depend on any classes in biz.xsoftware.service1 and can also depend on classes in subpackages of biz.xsoftware.service1.
Note that for service 2, classes in biz.xsoftware.client2 and client2's subpackages are all allowed to depend on classes in biz.xsoftware.service2.
public class Client { public void fakeMethod() { String s = Dependency.CONSTANT; //verifydesign task can't tell this depends on //DependencyClass as that info is lost after compiling } } public class DependencyClass { public static final String CONSTANT = "asdf"; }
Copyright © 2002-2004 Ant-Contrib Project. All rights Reserved.


|
Netxtendable
5.1.0
A .NET library with extension functions for some standard types and usefull data structures
|
| ▼NNetxtendable | |
| ▼NCollections | |
| CTrie | A basic trie implementation |
| ▼NExtensions | |
| ▼NCollections | |
| CIEnumerableExtensions | Class with extension methods for IEnumerable<T> |
| CIListExtensions | Class with extension methods for IList<T> |
| CTupleExtensions | Class with extension methods for Tuple |
| CValueTupleExtensions | Class with extension methods for Tuple |
| ▼NNumerics | |
| CIntegerExtensions | Class with extension methods for all standard integer types |
| ▼NText | |
| CCharExtensions | Class with extension methods for char |
| CEncodingExtensions | Class with extension methods for Encoding |
| CInt32Extensions | Class with text-related extension methods for Int32 |
| CStringExtensions | Class with extension methods for string |
| ▼NUtils | |
| CRandomExtensions | Class with extension methods for Random |
| CEnumerableExtras | Class with generic method that create various enumerables |
| CNetxtendableConfig | Class with configuration for methods and classes in this library |


Grocery List
Item one:
Item two:
Item three:
Item four:
Item five:
Show me my list!
Here are your groceries in alphabetical order and uppercased!


{%- extends "base.html" -%} {%- import "form.html" as forms -%} {% import "bootstrap/utils.html" as utils %} {% block content %} {{ super() }}


{% extends "base.html" %} {% block htmlhead %} {{ super() }} {% endblock %} {% block content %}
Makerbase is a directory of people who make bits and atoms and the things they made.


cases (.) virus Zhejiang areas waves Cluster infections High-High wave epidemic human fifth <. fourth second rural Province influenza {border-style A(HN) poultry spatial wave, Province, px;} waves. #ffffff;} autocorrelation occurred Influenza areas, avian reported China clusters infection interpolation China. analysis characteristics epidemics kriging live significant urban areas. data infected northern number respectively. trend March affected case previous relatively total viruses Disease []. county distribution identified proportion study used value wave. Control July Republic Spatial cases, county, especially local px; rate {font-family (Fig .±. City Fig People’s area emerged expansion extent font-size high-high located noted similar test waves, (Figs .). ./s--- According Anji Avian Chinese City, Health June Sciences compare confirmed date death definition double; estimation incidence low possible reason region semivariance ChenEF, China, Commission Deqing Family However, Human January Maps Moran’s National Ordinary Planning Virus Xiaoshan Yuhang border-color border-width cases. closure contaminated continued differences distance environment high increased ordinary pathogens peak positive review solid; spread virus: {font-style {font-weight ./journal.pone..tTable April Based Biology China[], Factors High-Low Index Infectious Information October Orthomyxoviruses Prevention RenRQ, September Shaoxing Viruses WangXX, age backyard bold chi-square circulated circulation clinical counties courier; difference different em; estimate estimated global grew high-low including interpolation. methods mild new occurring pt;} research risk sample sciences semivariogram showed shown southeast spatially


Computer access using gestures
Live Webcam video feed analysis to detect hand gestures using image processing, statistic regression and Kalman filters. Integrated to control MS Office and Adobe reader applications.
Business pattern prediction with Yelp user reviews
Predict user rating from review and top topic mining for each business along with associated sentiment. Implemented using Python, NLTK and Textblob.
Twitter elastic search
Search engine for twitter with distributed indexing using Apache Storm and Elasticsearch. Top trends using Count-min and bloom filters. Implemented in Java.
Cloud provisioning automation
Automatic provisioning of clusters and configuring applications like Hadoop, MongoDB based on user configuration on cloud providers like Digital Ocean, Amazon web services and OpenStack.
Provocab.com
Intelligent online tool for managing daily vocab learning. Used by more than 300 active users.
Twitter Sentiment
Real-time sentiment analysis of tweets and visualization of results based on user query. Built on NLTK, Python and Bootstrap.
Nltk-server
Project intended to make Natural Language Toolkit accessible to all programming languages by building a JSON based interface.
More on github.com/preems
Langauges: Java, Python, JavaScript, R, C.
Web: PHP, jQuery, Bootstrap, Node.js, Express.
Analytics: Hadoop, Apache Spark, Apache Storm, MLlib, Kafka, scikit-learn, NumPy.


--- title: nanmeanWeights sidebar: function_reference_sidebar permalink: nanmeanWeights.html folder: function_reference toc: false ---
FORMAT: Y = NANMEAN(X,DIM)
Average or mean value ignoring NaNs
This function enhances the functionality of NANMEAN as distributed in the MATLAB Statistics Toolbox and is meant as a replacement (hence the identical name).
NANMEAN(X,DIM) calculates the mean along any dimension of the N-D array X ignoring NaNs. If DIM is omitted NANMEAN averages along the first non-singleton dimension of X.
Similar replacements exist for NANSTD, NANMEDIAN, NANMIN, NANMAX, and NANSUM which are all part of the NaN-suite.


Make bookings for your trip inadvance
Contact Us
Our Routes To And From OR Tambo International Airport
Flight Connector (Pty) Ltd
"LaNkwali Transport"
Tel: (+268) 2404 6353
Cell: (+268) 7626 9498
Email<EMAIL_ADDRESS>Copyright © 2014-2022 TnT Technologies Inc All Rights Reserved
Departure destinations in Swaziland
Manzini - The George Hotel
Matsapha - Esibayeni Lodge
Malandala's
Ezulwini - Gables & Hotels
Mbabane - Nandos
Oshoek Border Gate
Departure destinations from OR Tambo International Airport
Terminal B Department Airport 12.00 pm
Sandton Gautrain Station 12.30 pm
Stop at ULZU 15.15 pm
Arriving in Swaziland 16.30 pm
We are based in Mbabane Swaziland
07.00 am
07.30 am


Presentations are a common way of knowledge sharing. Most people have to hold a couple during their school time, during their studies at university and at work.
I always made a lot and I feel very comfortable holding presentations. After my latest one, I was asked how I create them.
In the following article, I will present a structured plan how to approach presentations. However, in practice my approach is a bit more messy. I jump back and forth between steps, refining parts that didn't feel good.
I often works like this
- Find a start: How are you introduced? How do you motivate the topic? This always is hardest for me.
- Create some slides: Nothing fancy, just the first ideas that pops to your mind. Continue, once you can fill a couple of minutes.
- Try it: Speak to the slide as if it was the real presentation. Where do you get stuck? Where does it feel bad? Either change those slides or write down what you want to say there.
- Repeat: Too short? Then go back to 2.
- Refine: A good end is nice. Maybe you can repeat some key points? Maybe you can end with an open question the audience can think about? And, of course, make sure the whole presentation is consistent and has a good flow.
Topic and Key Messages
You might be in a situation where you are free to talk about whatever you want. This makes it more difficult as you have to choose the topic yourself. You have to define which key messages you want to convey. In such a situation you might want to jump back-and-forth with creating the content and the title.
Also, think about your main audience: Which background do they have? Why do they visit your talk?
How is your audience mainly present: Is it the people in the room? People connected via video stream? People watching it later? People who only see the slides?
Title
The audience should know in advance the title. The more vague the title is, the less you can go into detail. The more specific the title is, the more details will be expected.
Here are some examples from super vague to extremely detailed:
- A.I.: The Good, the Bad, the Ugly!
- Machine Learning: The Good, the bad, the Ugly!
- Machine Learning War Stories
- Machine Learning and its Problems
- Machine Learning: Bias, Generalization and the Golden Hammer
- How to build reliable Machine Learning Applications
- Generalization in Face Recognition
- View specific generalisation effects in face recognition: Front and yaw comparison views are better than pitch
Think about which audience is attracted by the different titles.
The first one might attract people who don't know anything about the topic, but are curios to hear about it. The buzzword "A.I." might actually repell people who are more knowledgable in the area. However, as it is so vague and people cannot possibly knwo what it is about, this is pretty open to everybody.
The last title is taken from a paper. You will lose most people with the title alone, but you will make sure that the audience has some technical background
Presentation Programs
Many people use Microsoft Power Point. It's a very good tool to quickly create something that looks ok.
I like to use LaTeX Beamer, which is good if you want to have mathematical formulas and be sure that things always look the same (not having slides move a bit).
Raymond Hettinger tried a couple of different approaches. For example, I have seen him using Sphinx (docs).
Slides
For every slide, think about what you want to achieve. In most cases, not too much should be on the slides.
Types
- Image Only: Very nice because people can listen to you. However, they are not a good choice if people need to understand them later without you talking.
- Statement Only: Only a short statement with a simple background can be quite powerful.
- Full Information: Best choice if the presentation is mainly for people to be read ... but maybe then a presentation is not the best choice in the first place?
Refinement
- Presentation proportions: Usually, it is either 16:9 or 4:3. Make sure your presentation is in the same format as the projector uses.
- Text Size: Is the text large enough? To answer this, you have to have an idea of the room size and the size of the projection.
- Text Position: It happens once in a while that the projector crops of stuff at the edges. At the bottom, it could also happen that people sitting in the last rows cannot see it.
- Colors: Bad projectors can mess extremely with colors. It might happen that some things are barely visible. Be aware of that when creating diagrams. Especially when you have lines in different colors, it is usually helpful to adjust the line-style as well (solid, dotted, dashed, mixtures of dotted and dashed).
Feedback
Make a dry-run. I know, this is time-consuming and sometimes people are really bad in giving constructive feedback. The worst thing that can happen in a dry-run is that they say: "Well done, I don't know what you could do better".
Sometimes you might want to ignore the feedback, because it does not feel good to you. That's ok. It's your presentation. If it feels weird, you will have a hard time telling it in a smooth way.


Home
Content
Operators
Maps
Quarantine
Pre-Order
Maps
Oregon
House
Bank
Chalet
Yacht
Kanal
ThemePark
Bartlett_U


SOMETHING SPECIAL FROM VERA
TRENDING GIFTS
Vera girls are
getting...
Betty Johnson Indianapolis, IN
Awesome Gifter Madison, WI
Joyce WilsonSan Diego, CA


|
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| PREV NEXT | FRAMES NO FRAMES |
| Packages that use org.apache.commons.digester3.binder | |
|---|---|
| org.apache.commons.digester3.annotations | The annotations package provides for Java5 Annotations
meta data-based definition of rules for Digester . |
| org.apache.commons.digester3.annotations.handlers | The handlers package contains
AnnotationHandler
implementations. |
| org.apache.commons.digester3.binder | The Digester EDSL allows configure Digester using fluent APIs. |
| org.apache.commons.digester3.xmlrules | The Digester package lets you configure an XML -> Java object mapping module, which triggers certain actions called rules whenever a particular pattern of nested XML elements is recognized. |
| Classes in org.apache.commons.digester3.binder used by org.apache.commons.digester3.annotations | |
|---|---|
| AbstractRulesModule
A support class for RulesModule which reduces repetition and results in a more readable configuration. |
|
| RulesBinder
The Digester EDSL. |
|
| RulesModule
A module is the Digester rule bindings provider. |
| Classes in org.apache.commons.digester3.binder used by org.apache.commons.digester3.annotations.handlers | |
|---|---|
| RulesBinder
The Digester EDSL. |
| Classes in org.apache.commons.digester3.binder used by org.apache.commons.digester3.xmlrules | |
|---|---|
| AbstractRulesModule
A support class for RulesModule which reduces repetition and results in a more readable configuration. |
|
| RulesModule
A module is the Digester rule bindings provider. |
|
||||||||||
| PREV NEXT | FRAMES NO FRAMES |


Crumop399.github.io
ULTIMATE SPEED KH 4103 BATTERY AND ALTERNATOR TESTER Manual. View and Download ULTIMATE SPEED KH 4103 BATTERY AND ALTERNATOR TESTER manual online. KH 4103 BATTERY AND ALTERNATOR TESTER Battery Charger pdf manual. Ultimate Speed Kh 4103 Bedienungsanleitung.


- initialize(URL, ResourceBundle) - Method in class presentation.controller.view.LoginViewController
-
Inicialize the LoginView
- initialize(URL, ResourceBundle) - Method in class presentation.controller.view.NebulaViewController
-
Initialize the nebula view controller
- initPopulation(int, int) - Method in class domain.model.player.computer.GeneticComputer
-
- inputColorRow(int, int) - Method in interface domain.model.Receiver
-
Input a combination of colors
- inputColorRow(int, int) - Method in class presentation.controller.receiver.TerminalGameReceiver
-
Reads a combination of color pegs from the terminal
- inputColorRow(int, int) - Method in class presentation.controller.receiver.VisualGameReceiver
-
Reads a combination of color pegs from the terminal
- inputControlBlacks() - Method in interface domain.model.Receiver
-
Input the number of blacks
- inputControlBlacks() - Method in class presentation.controller.receiver.TerminalGameReceiver
-
Reads the number of blacks from the terminal
- inputControlBlacks() - Method in class presentation.controller.receiver.VisualGameReceiver
-
Request the number of blacks
- inputControlWhites() - Method in interface domain.model.Receiver
-
Input the number of whites
- inputControlWhites() - Method in class presentation.controller.receiver.TerminalGameReceiver
-
Reads the number of whites from the terminal
- inputControlWhites() - Method in class presentation.controller.receiver.VisualGameReceiver
-
Request the number of whites
- inputPassword() - Method in class presentation.TerminalMastermind
-
- insert(String, E) - Method in interface domain.controller.data.DataController
-
Insert the item with its key in the dataSet
- insert(String, E) - Method in class persistence.model.DataModel
-
Inserts the key with the item
- INSERT_PASSWORD - Static variable in class resources.strings.TerminalConstants
-
The constant INSERT_PASSWORD.
- INSERT_USERNAME - Static variable in class resources.strings.TerminalConstants
-
The constant INSERT_USERNAME.
- inversion(ArrayList<ColorRow>, int, int) - Method in class domain.model.player.computer.GeneticComputer
-
- isARepetition(ArrayList<ColorRow>, int) - Method in class domain.model.player.computer.GeneticComputer
-
- isDebugBuild() - Method in class domain.controller.DomainController
-
Checks if is a debug build
- isPlaying - Variable in class presentation.controller.view.NebulaViewController
-
- isValid(ColorRow, int, int) - Static method in class domain.model.row.ColorRow
-
Checks if the input is valid


{% extends "base.html" %} {% block page_title %}Update Project Database Connection{% endblock %} {% load static %} {% load render_bundle from webpack_loader %} {% block content %}
This page gives you the opportunity to set up or update a database connection to SMART. The import connection is used to import new unlabeled data into the SMART project to be labeled.
Please provide the following fields for your Database Connection.
The following fields are the table name and schema for the database table you wish SMART to read new data from. At minimum the table must have a column "Text" with the text that needs to be labeled.
The following fields are the table name and schema for the database table you wish SMART to export labeled data to. WARNING: The export table cannot already exist in the database. Please note that SMART will completely drop and rewrite this table each time you export.


ConfigRequest
- open_reg_role_id : integer
Default Role Id assigned to newly registered users, set to null to turn off open registration.
- open_reg_email_service_id : integer
Set to an email-type service id to require email confirmation of newly registered users.
- open_reg_email_template_id : integer
Default email template used for open registration email confirmations.
- password_email_service_id : integer
Set to an email-type service id to require email confirmation to reset passwords, otherwise defaults to security question and answer.
- password_email_template_id : integer
Default email template used for password reset email confirmations.
- guest_role_id : integer
Role Id assigned for all guest sessions, set to null to require authenticated sessions.
- editable_profile_fields : string
Comma-delimited list of fields the user is allowed to edit.
- allowed_hosts : List[HostInfo]
CORS whitelist of allowed remote hosts.


| Home > Documentation > Reference > Geronimo Architecture > Classloading |
In Geronimo each plugin or module has an associated classloader. These classloaders differ from normal URL classloaders in that they have multiple parents and various ways to customize the visibility of classes in the classloader itself and its parents. Classloaders associated with plugins are the only classloaders in Geronimo. Classloaders are uniformly configured in xml through an environment element allowed at the start of all geronimo plans.
The contents of a classloader are specified through dependency elements in the xml environment element. All dependencies refer to artifacts in the geronimo repository, using the same format as dependencies in a maven 2 pom. These dependencies can be plain jars or other plugins. Plugins become parents of the classloader whereas jars become available directly in the classloader.
There are a number of customizations available for classloaders.
Normally when loading a class the parents are searched first. By including <inverse-classloading/> the classloader is configured to search itself first, then the parents. This feature is probably most familiar in web app classloaders but can be configured on any geronimo classloader.
This technique should be used with caution because it affects all classes and can cause conflicts when objects constructed in your module are passed to a parent for processing. It can be a valuable tool for problem determination and testing, but should be avoided for production systems. In production systems, use the <hidden-classes> element instead and specify only those classes that can be used without conflict.
If you have configured inverse-classloading, you can override that for specific classes or packages by including filters for those classes you want to be loaded from parent classloaders even if they are present in the current classloader.
This is important when you want your module to share a common instance of a framework library with other modules.
Including a filter in a hidden-classes element prevents matching classes from being loaded from any parent classloader. This is used when the current module depends on a different version or when the class represents a framework that must be initialized independently from the same framework used by the parent.
This feature is a bit odd. In addition, all child classloaders will not be able to load the class from any parent.
Including a filter in private-classes prevents and child classloader from loading the class from this classloader. It is similar to hidden-classes but on the parent rather than the child.
A few jars are needed to set up the geronimo kernel and repository and logging and cannot be loaded from the geronimo repository. These jars are configured in a manifest-classpath in the jar manifest of startup plugins such as j2ee-system and client-system. These jars are copied under simpler names in bin and locate the jars in the lib directory. The relationship between the bin and lib directories must not be changed.
Plugins are combinations of both classes and services. Dependencies can be on either classes, services, or both. Normally dependencies are on both. If this is not desired, the import element can be used in a dependency. Lets suppose we have a plugin B with a dependency on plugin A.
Starting plugin B will load plugin A so its classloader is available but will not start plugin A so the services will not necessarily be started. This is used in deployer plugins so that the runtime classes are available but e.g. a web server is not running.
Starting plugin B will load and start plugin A so the services from A are available. However the classes in plugin A will not be available to plugin B. (This is apt to work only if the services in A implement interfaces available to B).
Starting plugin B will load and start plugin A and the both the classes and services from A are available for plugin B.
Some functionality is included in the vm but is intended to be user-replaceable. This includes the xml and xsl libraries. Usually you can't just include the version of xerces or xalan you want to use in your application, instead you need to put it in <geronimo_home>/lib/endorsed. Unfortunately this means all of geronimo will be using the same version of these libraries. A typical symptom of this problem might look like this:
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above |
Chen The Arousing, Thunder |
|
below |
Ch'ien The Creative, Heaven |
The Power of the Great. Perseverance furthers.
Thunder in heaven above:
The image of The Power of the Great.
Thus the superior man does not tread upon paths
That do not accord with established order.
Nine at the beginning means:
Power in the toes.
Continuing brings misfortune.
This is certainly true.
Nine in the second place means:
Perseverance brings good fortune.
Nine in the third place means:
The inferior man works through power.
The superior man does not act thus.
To continue is dangerous.
A goat butts against a hedge
And gets its horns entangled.
Nine in the fourth place means:
Perseverance brings good fortune.
Remorse disappears.
The hedge opens; there is no entanglement.
Power depends upon the axle of a big cart.
Six in the fifth place means:
Loses the goat with ease.
No remorse.
Six at the top means:
A goat butts against a hedge.
It cannot go backward, it cannot go forward.
Nothing serves to further.
If one notes the difficulty, this brings good fortune.


HOME
CODE
ABOUT
SKILLS
CONTACT
UrbanCode
During my sophomore year of college I did a 7 month co-op at
UrbanCode
, a medium sized software company owned by IBM. I worked primarily on the release management tool
release
. Check out my boss:


Official ->
https://ramen-timer.com
Alternatives ->
https://github.com/risuney/ramen-timer
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In this project, you'll use generative adversarial networks to generate new images of faces.
You'll be using two datasets in this project:
Since the celebA dataset is complex and you're doing GANs in a project for the first time, we want you to test your neural network on MNIST before CelebA. Running the GANs on MNIST will allow you to see how well your model trains sooner.
If you're using FloydHub, set data_dir
to "/input" and use the FloydHub data ID "R5KrjnANiKVhLWAkpXhNBe".
data_dir = './data'
# FloydHub - Use with data ID "R5KrjnANiKVhLWAkpXhNBe"
#data_dir = '/input'
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import helper
helper.download_extract('mnist', data_dir)
helper.download_extract('celeba', data_dir)
show_n_images = 25
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
%matplotlib inline
import os
from glob import glob
from matplotlib import pyplot
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'mnist/*.jpg'))[:show_n_images], 28, 28, 'L')
pyplot.imshow(helper.images_square_grid(mnist_images, 'L'), cmap='gray')
The CelebFaces Attributes Dataset (CelebA) dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations. You can view the first number of examples by changing show_n_images
.
show_n_images = 25
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'img_align_celeba/*.jpg'))[:show_n_images], 28, 28, 'RGB')
pyplot.imshow(helper.images_square_grid(mnist_images, 'RGB'))
Since the project's main focus is on building the GANs, we'll preprocess the data for you. The values of the MNIST and CelebA dataset will be in the range of -0.5 to 0.5 of 28x28 dimensional images. The CelebA images will be cropped to remove parts of the image that don't include a face, then resized down to 28x28.

You'll build the components necessary to build a GANs by implementing the following functions below:
model_inputs
discriminator
generator
model_loss
model_opt
train
This will check to make sure you have the correct version of TensorFlow and access to a GPU
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf
# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or newer. You are using {}'.format(tf.__version__)
print('TensorFlow Version: {}'.format(tf.__version__))
# Check for a GPU
if not tf.test.gpu_device_name():
warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
Implement the model_inputs
function to create TF Placeholders for the Neural Network. It should create the following placeholders:
image_width
, image_height
, and image_channels
.z_dim
.Return the placeholders in the following the tuple (tensor of real input images, tensor of z data)
import problem_unittests as tests
def model_inputs(image_width, image_height, image_channels, z_dim):
"""
Create the model inputs
:param image_width: The input image width
:param image_height: The input image height
:param image_channels: The number of image channels
:param z_dim: The dimension of Z
:return: Tuple of (tensor of real input images, tensor of z data, learning rate)
"""
# TODO: Implement Function
real_images = tf.placeholder(tf.float32, (None, image_width, image_height, image_channels), name='input_real')
z_data = tf.placeholder(tf.float32, (None, z_dim), name ='input_z')
learning_rate = tf.placeholder(tf.float32, name = 'learning_rate')
return real_images, z_data, learning_rate
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_inputs(model_inputs)
Implement discriminator
to create a discriminator neural network that discriminates on images
. This function should be able to reuse the variables in the neural network. Use tf.variable_scope
with a scope name of "discriminator" to allow the variables to be reused. The function should return a tuple of (tensor output of the discriminator, tensor logits of the discriminator).
def discriminator(images, reuse=False):
"""
Create the discriminator network
:param images: Tensor of input image(s)
:param reuse: Boolean if the weights should be reused
:return: Tuple of (tensor output of the discriminator, tensor logits of the discriminator)
"""
# TODO: Implement Function
with tf.variable_scope('discriminator', reuse=reuse):
# Input layer
alpha = 0.2
x1 = tf.layers.conv2d(images, 64, 5, strides=2, padding='same')
relu1 = tf.maximum(alpha * x1, x1)
# 16x16x64
x2 = tf.layers.conv2d(relu1, 128, 5, strides=1, padding='same')
bn2 = tf.layers.batch_normalization(x2, training=True)
relu2 = tf.maximum(alpha * bn2, bn2)
# 8x8x128
x3 = tf.layers.conv2d(relu2, 256, 5, strides=2, padding='same')
bn3 = tf.layers.batch_normalization(x3, training=True)
relu3 = tf.maximum(alpha * bn3, bn3)
# 4x4x256
# Flatten it
#flat = tf.reshape(relu3, (-1, 4*4*256))
flat = tf.contrib.layers.flatten(relu3)
logits = tf.layers.dense(flat, 1)
output = tf.sigmoid(logits)
return output, logits
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_discriminator(discriminator, tf)
Implement generator
to generate an image using z
. This function should be able to reuse the variables in the neural network. Use tf.variable_scope
with a scope name of "generator" to allow the variables to be reused. The function should return the generated 28 x 28 x out_channel_dim
images.
def generator(z, out_channel_dim, is_train=True):
"""
Create the generator network
:param z: Input z
:param out_channel_dim: The number of channels in the output image
:param is_train: Boolean if generator is being used for training
:return: The tensor output of the generator
"""
# TODO: Implement Function
with tf.variable_scope('generator', reuse= not is_train):
alpha = 0.2
# First fully connected layer
x1 = tf.layers.dense(z, 7*7*256)
# Reshape it to start the convolutional stack
x1 = tf.reshape(x1, (-1, 7, 7, 256))
x1 = tf.layers.batch_normalization(x1, training=is_train)
x1 = tf.maximum(alpha * x1, x1)
# 7x7x256 now
x2 = tf.layers.conv2d_transpose(x1, 128, 5, strides=1, padding='same')
x2 = tf.layers.batch_normalization(x2, training=is_train)
x2 = tf.maximum(alpha * x2, x2)
# 7x7x128 now
x3 = tf.layers.conv2d_transpose(x2, 64, 5, strides=2, padding='same')
x3 = tf.layers.batch_normalization(x3, training=is_train)
x3 = tf.maximum(alpha * x3, x3)
# 14x14x64 now
# Output layer
logits = tf.layers.conv2d_transpose(x3, out_channel_dim, 5, strides=2, padding='same')
# 28x28x3 now
output = tf.tanh(logits)
return output
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_generator(generator, tf)
Implement model_loss
to build the GANs for training and calculate the loss. The function should return a tuple of (discriminator loss, generator loss). Use the following functions you implemented:
discriminator(images, reuse=False)
generator(z, out_channel_dim, is_train=True)
def model_loss(input_real, input_z, out_channel_dim):
"""
Get the loss for the discriminator and generator
:param input_real: Images from the real dataset
:param input_z: Z input
:param out_channel_dim: The number of channels in the output image
:return: A tuple of (discriminator loss, generator loss)
"""
smooth = 0.1
g_model = generator(input_z, out_channel_dim, is_train=True)
d_model_real, d_logits_real = discriminator(input_real)
d_model_fake, d_logits_fake = discriminator(g_model, reuse=True)
d_loss_real = tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_real, labels=tf.ones_like(d_model_real) * (1 - smooth)))
d_loss_fake = tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.zeros_like(d_model_fake)))
g_loss = tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.ones_like(d_model_fake)))
d_loss = d_loss_real + d_loss_fake
return d_loss, g_loss
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_loss(model_loss)
Implement model_opt
to create the optimization operations for the GANs. Use tf.trainable_variables
to get all the trainable variables. Filter the variables with names that are in the discriminator and generator scope names. The function should return a tuple of (discriminator training operation, generator training operation).
def model_opt(d_loss, g_loss, learning_rate, beta1):
"""
Get optimization operations
:param d_loss: Discriminator loss Tensor
:param g_loss: Generator loss Tensor
:param learning_rate: Learning Rate Placeholder
:param beta1: The exponential decay rate for the 1st moment in the optimizer
:return: A tuple of (discriminator training operation, generator training operation)
"""
# TODO: Implement Function
t_vars = tf.trainable_variables()
d_vars = [var for var in t_vars if var.name.startswith('discriminator')]
g_vars = [var for var in t_vars if var.name.startswith('generator')]
# Optimize
with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)):
d_opt = tf.train.AdamOptimizer(learning_rate=learning_rate, beta1=beta1).minimize(d_loss, var_list=d_vars)
g_opt = tf.train.AdamOptimizer(learning_rate=learning_rate, beta1=beta1).minimize(g_loss, var_list=g_vars)
return d_opt, g_opt
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_opt(model_opt, tf)
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import numpy as np
def show_generator_output(sess, n_images, input_z, out_channel_dim, image_mode):
"""
Show example output for the generator
:param sess: TensorFlow session
:param n_images: Number of Images to display
:param input_z: Input Z Tensor
:param out_channel_dim: The number of channels in the output image
:param image_mode: The mode to use for images ("RGB" or "L")
"""
cmap = None if image_mode == 'RGB' else 'gray'
z_dim = input_z.get_shape().as_list()[-1]
example_z = np.random.uniform(-1, 1, size=[n_images, z_dim])
samples = sess.run(
generator(input_z, out_channel_dim, False),
feed_dict={input_z: example_z})
images_grid = helper.images_square_grid(samples, image_mode)
pyplot.imshow(images_grid, cmap=cmap)
pyplot.show()
Implement train
to build and train the GANs. Use the following functions you implemented:
model_inputs(image_width, image_height, image_channels, z_dim)
model_loss(input_real, input_z, out_channel_dim)
model_opt(d_loss, g_loss, learning_rate, beta1)
Use the show_generator_output
to show generator
output while you train. Running show_generator_output
for every batch will drastically increase training time and increase the size of the notebook. It's recommended to print the generator
output every 100 batches.
def train(epoch_count, batch_size, z_dim, learning_rate, beta1, get_batches, data_shape, data_image_mode):
"""
Train the GAN
:param epoch_count: Number of epochs
:param batch_size: Batch Size
:param z_dim: Z dimension
:param learning_rate: Learning Rate
:param beta1: The exponential decay rate for the 1st moment in the optimizer
:param get_batches: Function to get batches
:param data_shape: Shape of the data
:param data_image_mode: The image mode to use for images ("RGB" or "L")
"""
image_width = data_shape[1]
image_height = data_shape[2]
image_channels = data_shape[3]
# TODO: Build Model
input_real, input_z, lr = model_inputs(image_width, image_height, image_channels, z_dim)
d_loss, g_loss = model_loss(input_real, input_z, image_channels)
d_opt, g_opt = model_opt(d_loss, g_loss, learning_rate, beta1)
n_batches = data_shape[0] // batch_size
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
for epoch_i in range(epoch_count):
batch_counter = 0
for batch_images in get_batches(batch_size):
# TODO: Train Model
# According to review, I should first scale real image values from [-0.5, 0.5] to [-1, 1]
batch_images = batch_images*2.0
# Sample random noise for generator
batch_z = np.random.uniform(-1, 1, size=(batch_size, z_dim))
# Run optimizers
_ = sess.run(d_opt, feed_dict={input_real: batch_images,
input_z: batch_z,
lr: learning_rate})
_ = sess.run(g_opt, feed_dict={input_real: batch_images,
input_z: batch_z,
lr: learning_rate})
# Get the losses and print them out at each 25 batches
if batch_counter % 25 == 0:
d_train_loss = d_loss.eval({input_real: batch_images, input_z: batch_z})
g_train_loss = g_loss.eval({input_z: batch_z})
print("Epoch {}/{} - Batch {}/{}: ".format(epoch_i+1, epoch_count, batch_counter, n_batches),
"Discriminator loss = {:.4f} ".format(d_train_loss),
"Generator loss = {:.4f}".format(g_train_loss))
# Show generator output samples so we can see the progress during training
if batch_counter % 100 == 0:
show_generator_output(sess, 16, input_z, image_channels, data_image_mode)
batch_counter +=1
Test your GANs architecture on MNIST. After 2 epochs, the GANs should be able to generate images that look like handwritten digits. Make sure the loss of the generator is lower than the loss of the discriminator or close to 0.
batch_size = 32
z_dim = 128
learning_rate = 0.0002
beta1 = 0.5
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 2
mnist_dataset = helper.Dataset('mnist', glob(os.path.join(data_dir, 'mnist/*.jpg')))
with tf.Graph().as_default():
train(epochs, batch_size, z_dim, learning_rate, beta1, mnist_dataset.get_batches,
mnist_dataset.shape, mnist_dataset.image_mode)
Run your GANs on CelebA. It will take around 20 minutes on the average GPU to run one epoch. You can run the whole epoch or stop when it starts to generate realistic faces.
batch_size = 64
z_dim = 128
learning_rate = 0.0001
beta1 = 0.5
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 1
celeba_dataset = helper.Dataset('celeba', glob(os.path.join(data_dir, 'img_align_celeba/*.jpg')))
with tf.Graph().as_default():
train(epochs, batch_size, z_dim, learning_rate, beta1, celeba_dataset.get_batches,
celeba_dataset.shape, celeba_dataset.image_mode)
When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_face_generation.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.


demo pages
Home pages
Web pages that you can use as home page, landing page, portfolio page, business page ...
item pages
Item pages
Web pages that you can use as item detail page, product page, project page, article ...
grid and gallery
Grid and gallery pages
Web pages that you can use to list products, images, projects, services or as a blog page ...
Effects
background
Background
Web pages that you can use to list products, images, projects, services or as a blog page ...
effects
Scrolling effects
All available page scrolling behavior and animations ...
Version 1
Version 1
The previous version of this template, based on Bootstrap 4.


if not frozen_encoding == encoding:
raise SystemExit("Frozen encoding is not the same as unfrozen.")
if not frozen_encoding == encoding:
raise SystemExit("Frozen encoding %s is not the same as unfrozen %s." %
(frozen_encoding, encoding))


- action
- alert
- arrow-d
- arrow-d-l
- arrow-d-r
- arrow-l
- arrow-r
- arrow-u
- arrow-u-l
- arrow-u-r
- audio
- back
- bars
- bullets
- calendar
- camera
- carat-d
- carat-l
- carat-r
- carat-u
- check
- clock
- cloud
- comment
- delete
- edit
- eye
- forbidden
- forward
- gear
- grid
- heart
- home
- info
- location
- lock
- minus
- navigation
- phone
- plus
- power
- recycle
- refresh
- search
- shop
- star
- tag
- user
- video


| DevIL Documentation | Home | Previous | Next |
The iluScaleColours function scales the colours of an image.
ILboolean iluScaleColours(
ILfloat r,
ILfloat g,
ILfloat b
);
iluScaleColours scales the individual colour components of the current bound image. Using 1.0f as any of the parameters yields that colour component's original plane in the new image.
ILU_ILLEGAL_OPERATION - There is currently no image bound. Use ilGenImages and ilBindImage before calling this function.
ilGenImages, ilBindImage, iluGammaCorrectInter, iluGammaCorrectScale


Brand name is a Platform for Crowdfunding Medical Bills.
The concept here is to fund people who are financially unstable and unable to pay their medical bills,
by
connecting them with the people who are willing to donate money for their medical bills.
This project falls under the 3rd Goal of Sustainable Development Goals.
CSilluminati is a group of National School of Business Management Students
who
are willing to help the society by integrating technology into their lives.
CSilluminati provides professional services and product development strategy & prototyping in the area of
Web Development.
For more information about our other projects visit
www.csilluminati.dev


Grid of Node objects.
More...
#include <Grid.h>
Grid of Node objects.
Definition at line 26 of file Grid.h.
◆ Grid() [1/2]
Default constructor.
Definition at line 20 of file Grid.cpp.
◆ Grid() [2/2]
| Grid::Grid |
( |
const std::string & |
path, |
|
|
const std::string & |
tlabel |
|
) |
| |
Parametrized constructor: loads a Grid of Nodes from a file.
- Parameters
-
| [in] | path | Path to the input file |
| [in] | tlabel | Time-step label used in the name of the input file |
Definition at line 24 of file Grid.cpp.
◆ abs_diff()
| double Grid::abs_diff |
( |
const Grid & |
o | ) |
const |
Absolute difference between two Grids.
- Parameters
-
- Returns
- See Definition
Definition at line 74 of file Grid.cpp.
◆ add_node() [1/2]
| void Grid::add_node |
( |
const Node & |
nin | ) |
|
Adds a new Node at the end of *this Grid.
- Parameters
-
Definition at line 40 of file Grid.cpp.
◆ add_node() [2/2]
| void Grid::add_node |
( |
Node && |
nin | ) |
|
Adds a new Node at the end of *this Grid.
- Parameters
-
Definition at line 48 of file Grid.cpp.
◆ clear()
Removes all Nodes from *this Grid.
Definition at line 32 of file Grid.cpp.
◆ get_node()
| Node Grid::get_node |
( |
const size_t |
i | ) |
const |
Getter for the Node at index i.
- Parameters
-
- Returns
- Node at index i
Definition at line 56 of file Grid.cpp.
◆ load()
| void Grid::load |
( |
const std::string & |
path, |
|
|
const std::string & |
tlabel |
|
) |
| |
Loads a Grid of Nodes from a file.
- Parameters
-
| [in] | path | Path to the input file |
| [in] | tlabel | Time-step label used in the name of the input file |
Definition at line 94 of file Grid.cpp.
◆ replace_node()
| void Grid::replace_node |
( |
const Node & |
nin | ) |
|
Replaces the Node at the location encoded in the new Node.
- Parameters
-
Definition at line 63 of file Grid.cpp.
◆ size()
| size_t Grid::size |
( |
| ) |
const |
Getter for number of Nodes.
- Returns
- Size of *this Grid
Definition at line 70 of file Grid.cpp.
◆ to_string()
| std::string Grid::to_string |
( |
| ) |
const |
String representation of a Grid object.
- Returns
- String representation of *this
Definition at line 121 of file Grid.cpp.
The documentation for this class was generated from the following files:


Personal form
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{% extends "./more.html" %} {% block subSectionClasses %}community{% endblock %} {% block meta_title %}Community{% endblock %} {% block meta_description %}Support for the Spincast framework{% endblock %} {% block scripts %} {% endblock %} {% block subBody %}
To get help, open an issue on Github. Note that you can do this to ask simple questions too, not just if you find a bug!
// @formatter:off
and // @formatter:on
to disable the
auto formatting:
// @formatter:off String sql = "SELECT color " + "FROM napoleon_horses " + "WHERE color='white'"; // @formatter:on
private
methods. Use protected
for a method that shouldn't be public
.
private
, but a public
or
protected
getter should exist for them.
final
member variables, when possible.
/** comment */
style for the
Javadoc. You can use this style for comments which are not Javadoc:
//========================================== // This is a comment //========================================== String hello = "World";But regular comment style is ok too :
// This is a comment String hello = "World";
UTF-8
encoded (except .properties
files which should be ISO-8859-1
)
UTF-8
everywhere an encoding is involved!
"\n"
. No Windows's "\r\n"
newlines.
if
condition.
Don't do this:
if(someCondition) // no braces... :-(
UTC
if no timezone is specified. If you
need to store a date, store it as UTC
. Only when displaying or outputting the
date will you use the user's timezone, if available.
DefaultIntegrationTestingBase
or, at least, SpincastGuiceBasedTestBase
. Make sure you understand our custom
SpincastJUnitRunner
JUnit runner, which creates one instance
of a test class only! For our unit tests, we often start an Undertow
server instance even if it could be done without one:
Undertow is very fast to boot.


Tyson Fury claims he gets mistaken for Brad Pitt and George Clooney 'all the time'
Lineal heavyweight champion and WWE star says women hit on him everywhere he goes
by Gareth BicknellTyson Fury has claimed women "hit on him" everywhere he goes - and not just because he's a world-famous boxer.
The lineal heavyweight champion says he is up there with the likes of heart-throbs Brad Pitt and George Clooney.
Fury has been raising his profile of late, making appearances in WWE as well as teasing a potential transition from boxing into MMA .
The self-styled 'Gypsy King' - who is married to Paris, mum to their five children - is famous on both sides of the Atlantic.
But he said he even gets plenty of female attention when he goes to countries where he is not known as a boxer.
“Do women hit on me? All the time!" said Fury in quotes reported by the Daily Star .
"Everywhere I go. And not just because they know who I am.
“Seriously, I could go to foreign countries where people don’t know me and they’re still hitting on me.
"Because I’m tall, dark and handsome. Good dress sense. They’re like: ‘Who is this guy? Is he Brad Pitt? George Clooney?’”
Fury also claims to wear a three-piece suit all the time - even at home when lounging around or doing night feeds and changing nappies.
He said: "I’ve created a monster, haven’t I? I’ve created this flamboyant character, so now if I don’t turn up dressed the part, people are disappointed. It’s the brand. It’s just part of the job.”
Meanwhile, Fury has hinted he may never again box in the UK - casting doubt on potential future fights with the likes of Deontay Wilder and Anthony Joshua.
Speaking from the US about the UK boxing scene, the Gypsy King told the Times : "They had their chance.
"They didn’t treat me well. Over here, I get treated like a superstar.”


{{ define "main" }}
The purpose of the Office Manager post is to:
This is a stand-alone role in a fast paced, dynamic and entrepreneurial organisation with a strong social mission. There’s a lot to do to support BoxUp Crime in its growth, so the ideal candidate will be someone who can make an immediate
impact with minimal supervision, support or guidance. In return, the post holder will have a lot of scope to make the role their own and become an integral part of organsation as it grows and evolves.
The role would be ideal for someone with at least one to two years’ experience in a similar administrative or customer service role who is looking to make their next career move or someone with strong administrative experience who is
looking to find a workplace environment where they can really make a positive social impact. This is a highly autonomous and varied role so the ideal candidate will need to demonstrate initiative, common sense pragmatism, flexibility and a
genuine willingness to pitch-in with whatever needs to be done.
Our mission and values are at the heart of everything we do at Box Up Crime and we’re looking for someone who truly wants to be part of what we’re trying to achieve. This role will interact with a wide range of stakeholder groups including
schools, government bodies, funders, and the young people we support. The post holder will need to be able to communicate with professionalism, and demonstrate tact, empathy and discretion. As the first point of contact many people will
have with Box Up Crime, we expect the post holder to be a true ambassador for our mission.


{% extends 'base.html' %} {% block content %}
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