The purpose of this example is to show how setting a draggable area on a frameless window will affect mouse Events for nested and overlapping elements.
We will set the app's draggable area - the DOM element with an id of 'toolbar' - adding the CSS property of
-webkit-app-region: drag;
This CSS makes the DIV into our window dragger, however, property prevents some of the standard mouse Events firing.
The initial state of the DOM Elements with mouse listeners is orange and they have the CSS property '-webkit-app-region: no-drag;' to allow them to receive mouse Events, even when nested in a 'drag' region . When they receive a 'mouseover' they turn red and a 'mouseleave' turns them blue.
You will see that dragging the mouse to any of the orange elements highlights them in red, including the furthest left div nested in the draggable top-bar. If, however, the mouse leaves the nested element via the grey, draggable, top bar the 'mouseleave' Event will be prevented and the element will not turn blue.
We counter this on the top right element by nesting it within a DIV with its CSS set to '-webkit-app-region: no-drag;' (the initially pink area) and padding of 4px. When the mouse leaves the orange DIV it must pass over the 4px border of the 'no-drag' region, thus allowing a mouse Event to be dispatched before it enters the mouse-event-cancelling 'drag' zone.


Root and Subdirectory Deployment
We are going to discuss basic changes in our template before deploying our template in the root domain.
TIP
Step 1
First, run the yarn prod
or npm run production
command to generate the build.
Step 2
You have to place all public files inside your server's public_html
folder and your Laravel is in a
separate folder.
For example:-
We have two folder in our server.
public_html/ -> (folder for public accessible)
├── css/
├── fonts/
├── images/
├── js/
├── .htaccess
├── favicon.ico
├── index.php
├── mix-manifest.json
├── web.config
└── robots.txt
laravel/ -> (folder where laravel live)
├── app/
├── bootstrap/
├── config/
├── database/
├── frontend/
├── resources/
├── routes/
├── storage/
├── tests/
├── vendor/
├── .babelrc
├── .env
├── .gitattributes
├── .gitignore
├── .styleci.yml
├── artisan
├── composer.json
├── docker-compose.yml
├── package.json
├── phpunit.xml
├── server.php
└── webpack.mix.js
As an above structure, we have to changes some paths in the index.php
file in the public or
public_html file. Also, we have to bind
the document root to he current file path, where
index.php
exists.
<?php
use Illuminate\Contracts\Http\Kernel;
use Illuminate\Http\Request;
define('LARAVEL_START', microtime(true));
/*
|--------------------------------------------------------------------------
| Check If Application Is Under Maintenance
|--------------------------------------------------------------------------
|
| If the application is maintenance / demo mode via the "down" command we
| will require this file so that any prerendered template can be shown
| instead of starting the framework, which could cause an exception.
|
*/
if (file_exists(__DIR__.'/../laravel/storage/framework/maintenance.php')) {
require __DIR__.'/../laravel/storage/framework/maintenance.php';
}
/*
|--------------------------------------------------------------------------
| Register The Auto Loader
|--------------------------------------------------------------------------
|
| Composer provides a convenient, automatically generated class loader for
| this application. We just need to utilize it! We'll simply require it
| into the script here so we don't need to manually load our classes.
|
*/
require __DIR__.'/../laravel/vendor/autoload.php';
/*
|--------------------------------------------------------------------------
| Run The Application
|--------------------------------------------------------------------------
|
| Once we have the application, we can handle the incoming request using
| the application's HTTP kernel. Then, we will send the response back
| to this client's browser, allowing them to enjoy our application.
|
*/
$app = require_once __DIR__.'/../laravel/bootstrap/app.php';
$app->bind('path.public', function() {
return base_path('/../public_html');
});
$kernel = $app->make(Kernel::class);
$response = tap($kernel->handle(
$request = Request::capture()
))->send();
$kernel->terminate($request, $response);
Subdirectory deployment
For your Subdirectory deployment, you have to make path changes as per your Subdirectory folder structure in the above file.
Note: public_html
folder may differ from server to server.
Congratulation! You successfully deployed your project.


An excursion is a trip by a group of people, usually made for leisure, education, or physical purposes.
It is often an adjunct to a longer journey or visit a place, for other purposes.
Public transportation companies issue reduced price excursion tickets to attract business of this type.
Often these tickets are restricted to off-peak days or times for the destination concerned.
Short excursions for education or for observations of natural phenomena are called field trips.
One-day educational field studies are often made by classes as extracurricular exercises, e.g.
to visit a natural or geographical feature.
The term is also used for short military movements into foreign territory, without a formal announcement of war.
The purpose of the trip is usually observation for education,research or to provide students with experiences.
Outside their everyday activities,such as going camping with teachers and their classmates.
The aim of this research is to observe the subject in its natural state and possibly collect samples.
It is seen that more-advantaged children may have already experienced cultural institutions outside of school.
and field trips provide a ground with children to have some of thesame cultural experiences in the arts.


Please select a channel to publish your video to.
{% extends 'base.html' %} {% set active_menu = "publish" %} {% set active_submenu = "channel" %} {% from "_formhelpers.html" import render_field %} {% block title %}Add to Channel{% endblock %} {% block content %} {% include '_breadcrumbs.html' %}
| Transcoding | Cover Image |
|---|---|
| {{ get_transcoding_status(video.id).upper() }} | {% if video.file_mapper.s3_upload_thumbnail_key and video.file_mapper.thumbnail_files and 'small' in video.file_mapper.thumbnail_files %} {% elif video.file_mapper.s3_upload_thumbnail_key %} PROCESSING {% else %} Cover image is too small or missing. Upload new one. {% endif %} |
You will be able to publish the video after transcoding completes.
{% else %}You don't have any channels yet. Create one first.
{% endif %} {% endif %}Please select a channel to publish your video to.


Prison staff allegedly beat inmate to death in Akwa Ibom
by Sanya AgunbiadeReports coming from the Nigeria Correctional Service in Eket local government area of Akwa Ibom state have it that a prison staff allegedly beat an inmate to death.
In the report by The Nation, the alleged murder sparked a violent protest by other inmates at the correctional facility.
The irate inmates numbering over 100 insisted that the deputy comptroller in charge of NCS Eket must go even as they destroyed properties worth millions of naira including four cells internally.
In the midst of the confusion, a large number of prisoners tried to escape from custody but were stoutly prevented by warders who fired gunshots sporadically.
The source disclosed that inmates who tried to escape were injured and apprehended by the warders.
“The clinic facilities, kitchen, storehouses, pantry and other facilities and condemned the inmates cells and nearly all the facilities were destroyed,” a source who refused to be named said.
He explained that the inmates had created holes on the walls to ease their escape.
Scores of heavily armed warders surrounded the hospital where the injured inmates were receiving treatment.
“The warders surrounded the hospital where the three inmates were hospitalised,” he said.
Follow us on Facebook – @Lailasnews; Twitter – @LailaIjeoma for updates


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A R Rahman
Allah-Rakha Rahman , is an Indian composer, singer-songwriter, music producer, musician and philanthropist. A. R. Rahman's works are noted for integrating Indian classical music with electronic music, world music and traditional orchestral arrangements. Among his awards are two Academy Awards, two Grammy Awards, a BAFTA Award, a Golden Globe, four National Film Awards, fifteen Filmfare Awards and thirteen Filmfare Awards South. He has been awarded the Padma Bhushan, the third highest civilian award, in 2010 by the Government of India.
In 2009, Time included Rahman on its list of the world's most influential people.The UK-based world-music magazine Songlines named him one of "Tomorrow's World Music Icons" in August 2011.
With an in-house studio (Panchathan Record Inn in Chennai), Rahman's film-scoring career began during the early 1990s with the Tamil film Roja. Working in India's film industries, international cinema and theatre, Rahman is one of the world's all-time best-selling recording artists.In a notable two-decade career, he has been acclaimed for redefining contemporary Indian film music and contributing to the success of several films. Rahman has become a notable humanitarian and philanthropist, donating and raising money for a number of causes and charities.
Rahman's body of work for film and stage has given him the nickname of "the Mozart of Madras", and Tamil commentators and fans call him Isai Puyal (English: the Musical Storm).


Slander
This is
Slander's
Cydia repository.
Add to Cydia
Hosted Packages
All Packages
All packges on my repo. Consists of tweaks, themes, and memes ;).
More info


Bespoke messenger bag four loko taiyaki. Listicle freegan etsy glossier umami twee. Banjo asymmetrical blue bottle ugh locavore letterpress, 90's polaroid aesthetic. Shaman trust fund try-hard +1 everyday carry truffaut lomo fanny pack. Distillery pork belly tumeric squid cloud bread fam, stumptown mustache 90's synth leggings.
Keytar yr asymmetrical air plant 3 wolf moon direct trade subway tile tbh hot chicken PBR&B bushwick chillwave kogi. Typewriter quinoa slow-carb, adaptogen succulents poke hashtag shabby chic normcore narwhal. Yuccie brooklyn PBR&B kombucha coloring book hashtag affogato raclette wayfarers keytar.
Letterpress trust fund portland taxidermy keytar artisan, hexagon microdosing cronut hot chicken knausgaard taiyaki. You probably haven't heard of them etsy crucifix, godard humblebrag snackwave bushwick af mixtape actually. Pour-over raclette cold-pressed, franzen bespoke pok pok live-edge pug trust fund.  Forage vexillologist blog godard you probably haven't heard of them letterpress hell of +1 tbh gastropub gochujang next level retro hella shaman.
Fingerstache vape literally, semiotics meditation tumblr brooklyn gluten-free. Williamsburg tacos synth PBR&B green juice freegan put a bird on it thundercats listicle gastropub raw denim roof party squid before they sold out.
 Brooklyn edison bulb chicharrones ramps, readymade taxidermy biodiesel lyft yuccie pabst live-edge intelligentsia organic shaman. Banh mi squid organic church-key.
Pork belly jianbing vice palo santo drinking vinegar schlitz. Whatever migas brooklyn, activated charcoal distillery etsy tacos chambray jean shorts before they sold out.
Tote bag mumblecore fanny pack twee green juice lumbersexual. Hexagon cred cold-pressed chia hammock beard fingerstache blue bottle activated charcoal art party disrupt pok pok cardigan. Blue bottle XOXO authentic semiotics, viral heirloom mixtape direct trade franzen truffaut bicycle rights.


Before Change
ex = cls()
obj = json.loads(data)
for key, vals in fields.items():
if vals is not None:
if not isinstance(vals, list):
vals = [vals]
for val in vals:
// for processing the key likes "foo.bar"
name, field = val
ks = key.split(".")
def reducer(obj, key):
if isinstance(obj, list):
results = []
for data in obj:
if key not in data:
// key error
raise ValueError("Specified key {} was not found in "
"the input data".format(key))
else:
results.append(data[key])
return results
else:
// key error
if key not in obj:
raise ValueError("Specified key {} was not found in "
"the input data".format(key))
else:
return obj[key]
v = reduce(reducer, ks, obj)
setattr(ex, name, field.preprocess(v))
return ex
@classmethod
def fromdict(cls, data, fields):
After Change
class Example(object):
@classmethod
def fromJSON(cls, data, fields):
warnings.warn("{} class has ".format(self.__class__.__name__) +
"been retired and moved to torchtext.legacy. Please " +
"import from torchtext.legacy.data if you still want it.", UserWarning)
raise ImportWarning


| UQE {rlang} | R Documentation |
UQE()
is defunct as of rlang 0.3.0 in order to simplify the
quasiquotation syntax. You can replace its use by a combination of
!!
and get_expr()
: !!get_expr(x)
is equivalent to UQE(x)
.
UQE(x)
x |
Object to unquote. |


| Backlog Date |
|
| Business |
|
| Category |
|
| Feature |
|
| Investment |
|
| Benefits |
|
| Progress |
|
| Backlog Date |
|
| Start Date |
|
| S/I Plan |
|
| S/I Date |
|
| Lead Time |
|
| Cycle Time |
|
| Squad |
|


{% extends 'admin/master.html' %} {% block body %} {{ super() }}
Authentication
{% if current_user.is_authenticated %}You are currently logged in as {{ current_user.email }}, with role {{ current_user.role }}
{% endif %} {% if not current_user.is_authenticated %}You are currently logged in as {{ current_user.email }}, with role {{ current_user.role }}
You are not an Admin user and can therefore not access the Admin views. For more information contact<EMAIL_ADDRESS>{% endif %}


IMPORTANT NOTE! Experimental solutions, written in ES6. Please, make sure you have the latest version of Firefox/Chrome web browser. Problem 1. Numbers Write a script that prints all the numbers from 1 to N. Problem 2. Numbers not divisible Write a script that prints all the numbers from 1 to N, that are not divisible by 3 and 7 at the same time Problem 3. Min/Max of sequence Write a script that finds the max and min number from a sequence of numbers. Problem 4. Lexicographically smallest Write a script that finds the lexicographically smallest and largest property in document, window and navigator objects.
See the results in the console -> F12 + F5


LS speaker may suspend two Cong MPs for storming Well of House, shouting slogans: Sources
Congress MPs Hibi Eden and T N Prathapan may face suspension for obstructing Parliament proceedings by shouting slogans and black banner which said "stop murder of democracy". According to the sources, the suspension of the two MPs was "imminent" ...
by PTINew Delhi: Lok Sabha Speaker Om Birla may suspend Congress MPs Hibi Eden and T N Prathapan for storming the Well of the House and obstructing Parliament proceedings by shouting slogans to protest against the swearing-in of a BJP-led government in Maharashtra, sources said on Monday.
Congress leaders carrying placards with messages like "save Constitution" and "save democracy" and a black banner which said "stop murder of democracy" jostled with the marshals.
According to the sources, the suspension of the two MPs was "imminent" as Birla was "upset" with their refusal to apologise for their conduct.
The BJP also accused Congress members of bringing "shame" to Lok Sabha with their "unruly" conduct in the House


Test 1
Test 2
Test 3
Append Random Image
Test 4
Append Random Image
Test 5
Test 6
Append Random Image
Test 7
Prev
Next
Test 8
Prev
Next
Destroy
Create Again


Scan contact card
DevOps | CI/CD
Stuttgart-Degerloch
Deploy differen apps.
Keep the infrastructure running
Implemented continuous devops pipelines automationing
BOSH (Bosh Outer SHell) "is an open source tool for release engineering, deployment, lifecycle management, and monitoring of distributed systems." And it's amazingly powerful. This examples uses BOSH to provision an Alassian vendor app running on JDK along with the support Postgres database and agents to support it. The releases manages the health of services and will automatically provision, start/stop processes across the various services.
See all Creations for more examples!
Uses Async call to lucene index for super fast autocompletion to address performance issue loading config.
See all Open Source Contributions for more examples!
A collection of articles, presentations or talks, most likely on Culture and DevOps, because let’s admit it, they are one in the same ;)


Lucas Coffee
About
Portfolio
Contact
About Me
Some quick example text to build on the card title and make up the bulk of the card's content.


importance: 5
Modify the solution of the previous task info:task/animate-logo-css to make the plane grow more than its original size 400x240px (jump out), and then return to that size.
Here’s how it should look (click on the plane):
[iframe src=“solution” height=350]
Take the solution of the previous task as the source.


Toggle navigation
Bank of China
Link
(current)
Link
Queuing ticket
Name:
Phone:
Service:
Withdrawal
Deposit
Transfer
Branch:
Kwai Fong
Mong Kok
Tai Po


Created by Franco G. Riberi.
Just in case ...
!=
I love travelling.
I love knowing new cultures.
I’m a trekking enthusiast.
I like to face New Challenges.
I enjoy resolving problems.
I’m a software developer.
“... when people working for a company work from their homes, using a computer which is connected to the computer system in an office ...”
+ Work from anywhere and anytime
+ No daily commute
+ Flexibility
+ Less costly
+ Better health
+ Less interruptions
+ Less sick days
- Lack of routine
- No workplace social life
- The challenge of the work/life balance
- Blurred lines.
- Distractions
- Overlooked for promotions
- Complete dependence on technology
I'm working as a remote developer
Why I chose this path?


| 009:099 Khan | : |
And of the bedouins there are some who believe in Allah and the Last Day, and look upon what they spend in Allah's Cause as approaches to Allah, and a cause of receiving the Messenger's invocations. Indeed these (spendings in Allah's Cause) are an approach for them. Allah will admit them to His Mercy. Certainly Allah is Oft- Forgiving, Most Merciful. |
| 009:099 Maulana | : |
And of the desert Arabs are those who believe in Allah and the Last Day, and consider what they spend and the prayers of the Messenger, as bringing them nearer to Allah. Surely they bring them nearer (to Allah); Allah will bring them into His mercy. Surely Allah is Forgiving, Merciful. |
| 009:099 Pickthal | : |
And of the wandering Arabs there is he who believeth in Allah and the Last Day, and taketh that which he expendeth and also the prayers of the messenger as acceptable offerings in the sight of Allah. Lo! verily it is an acceptable offering for them. Allah will bring them into His mercy. Lo! Allah is Forgiving, Merciful. |
| 009:099 Rashad | : |
Other Arabs do believe in GOD and the Last Day, and consider their spending to be a means towards GOD, and a means of supporting the messenger. Indeed, it will bring them nearer; GOD will admit them into His mercy. GOD is Forgiver, Most Merciful. |
| 009:099 Sarwar | : |
Some of the desert dwelling Arabs believe in God and the Day of Judgment. Whatever they spend for the cause of God they consider it as a means of getting nearer to God and have the prayers of the Messenger in their favor. This, certainly is a means to get nearer to God. God will admit them into His mercy. God is All-forgiving and All-merciful. |
| 009:099 Shakir | : |
And of the dwellers of the desert are those who believe in Allah and the latter day and take what they spend to be (means of) the nearness of Allah and the Messenger's prayers; surely it shall be means of nearness for them; Allah will make them enter into His mercy; surely Allah is Forgiving, Merciful. |
| 009:099 Sherali | : |
And among the Arabs of the desert are those who believe in ALLAH and the Last Day, and regard that which they spend as means of bringing them near to ALLAH and of receiving the prayers of the Prophet. Aye ! it is for them certainly a means of bringing them near to ALLAH. ALLAH will soon admit them to HIS mercy. Surely, ALLAH is Most Forgiving, Merciful. |
| 009:099 Yusufali | : |
But some of the desert Arabs believe in Allah and the Last Day, and look on their payments as pious gifts bringing them nearer to Allah and obtaining the prayers of the Messenger. Aye, indeed they bring them nearer (to Him): soon will Allah admit them to His Mercy: for Allah is Oft-forgiving, Most Merciful. |
Concepts/Themes Covered: أركان الإسلام > التوحيد > توحيد الله تعالي > عقائد البشر وأهواؤهم Pillars of Islam> Islamic> Oneness of Allah>The Human Beliefs and Inclinations أركان الإسلام > التوحيد > توحيد الله تعالي > الوعد والوعيد Pillars of Islam> Islamic> Oneness of Allah> Promise and Threat أركان الإسلام > الزكاة والصدقات Pillars of Islam> Due Alms and Charities الإنسان والعلاقات الاجتماعية > المجتمعات > الأعراب Man and The Social Relations>The Societies>The Bedouins تنظيم العلاقات المالية > إنفاقها Organizing Financial Relationships>Its Expenditure تنظيم العلاقات المالية > الزكاة Organizing Financial Relationships>Due Alms
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


| Id | {{instance.id}} |
| Completed At | {{instance.completed_at}} |
| Completition | {{instance.completition}} |
| Created At | {{instance.created_at}} |
| Currentuseranswers | {{instance.currentuseranswers}} |
| First Question | {{instance.first_question}} |
| First Question | {{instance.first_question_id}} |
| First Reminder | {{instance.first_reminder}} |
| Is Complete | {{instance.is_complete}} |
| Matched Videos | {{instance.matched_videos}} |
| Maternal Video Complete | {{instance.maternal_video_complete}} |
| Maternal Video Number | {{instance.maternal_video_number}} |
| Maternal Video Position | {{instance.maternal_video_position}} |
| Pediatric Video Complete | {{instance.pediatric_video_complete}} |
| Pediatric Video Number | {{instance.pediatric_video_number}} |
| Pediatric Video Position | {{instance.pediatric_video_position}} |
| Question Count | {{instance.question_count}} |
| Second Reminder | {{instance.second_reminder}} |
| Survey | {{instance.survey_id}} |
| User | {{instance.user_id}} |
| Video Source Version | {{instance.video_source_version}} |


Parallel Coordinates
Drag gray handles to constrain filters.
Drag yellow ranges to move filters.
The data table below will update automatically, displaying the filtered dataset.
Drag gray handles to constrain filters.
Drag yellow ranges to move filters.
The data table below will update automatically, displaying the filtered dataset.


In a circular array-based implementation of a
queue, with one unused element the initial size of the array should be...
one more than the queue’s initial capacity
- one less than the queue’s initial capacity
- two less than the queue’s initial capacity
- two more than the queue’s initial capacity
There are no hints for this question


Key statistics
60
invited
invited
23
accepted
accepted
3
declined
declined
6
assessors on invite list
assessors on invite list
- Innovation sector
- Health and life sciences
- Innovation area
- Agriculture and food
View assessors who have accepted the invite to assess this competition.
20 assessors
| Assessor name | Type | Innovation area | Contract and DOI |
|---|---|---|---|
| John Barnes John Barnes | Business | Electronics, sensors & photonics, Materials | Yes No |
| There are no assessors invited to this competition. |


Replacing Live Issues
Helper Script
We’ve put together a helper script which can automate a lot of the preparation steps when a single LCCN needs a lot of issues pulled. It is hacky and hard-coded at the moment, but it doesn’t make any changes to anything, so it’s safe to try out, and even modify to suit other use-cases.
To run: go run scripts/help-remove-issues.go <lccn> <issue dates filename> <path to NCA dir> <path to live batches>
.
This will find all batches that have the given LCCN and dates. It will “parse” date ranges that are in the form “YYYY-MM-DD thru YYYY-MM-DD” and then find all valid issues within that range.
It will then produce a complete list of all commands you’ll need to run.
Preparation
- Create a file full of dates in the form
YYYY-MM-DD
, representing all dates which need to be pulled- Note that all editions on the given date will be removed
- Grab https://github.com/uoregon-libraries/batch-issue-remover and build it. Copy the binary to your NCA system, as it is presumably capable of writing to your batch dir… otherwise how would you build batches?
- Determine where you’ll run this script so you can put all necessary helper
binaries in place
- You need
find-issues
(from a standard NCA project build) andremove-issues
(from the above-mentioned batch issue remove repo) under abin
directory in your NCA dir- e.g., if your NCA installation is in
/usr/local/nca
, that’s your “path to NCA dir”, and you’ll need to place the binaries in/usr/local/nca/bin
.
- e.g., if your NCA installation is in
- You need
- Run the helper, e.g.,
go run scripts/help-remove-issues.go sn12345678 /tmp/issue-dates /usr/local/nca /mnt/livebatches
- You probably want to capture the output to a file
Removal
The output of the helper script has three components:
- Removal / rebatch commands using
remove-issues
. Each of these commands will generate a new version of a live batch with the given issue keys removed. This is a non-destructive operation, as the live batch isn’t changed, and the new version could simply be deleted if desired without any effect. - Purge / load batch commands. These pair up for each new batch generated: you purge the live batch, then load the new one which has the bad issues removed. These commands are destructive but can still be undone because you can simply reverse them if necessary: purge the new version of the batch and then load the old one.
- Batch destruction commands. These are very permanent, and will dispose of the old version of batches, which you no presumably no longer want living alongside the new version.
At UO, we also have a separate component we try to manage, which is a “batch patch” for our dark archive. For each change to a batch that’s been archived, we craft a README.md with the commands needed, and generally include the entire codebase of any commands we use in order to ensure reproducibility. This is manual and error-prone, but necessary to ensure disaster recovery efforts will not result in loading old/broken batches we’ve since fixed.
Post-fix
Once you’ve ingested the new issues, NCA needs to have its cache completely rebuilt, since it assumes what’s live doesn’t change (it does a full rebuild weekly, but this is often too slow for heavy workflows).
- Stop the NCA services (nca-httpd and nca-workers)
- Delete the NCA cache entirely
- e.g., if
$ISSUE_CACHE_PATH
is/tmp
:rm -rf /tmp/batch-list /tmp/batches /tmp/titles /tmp/finder.cache
- e.g., if
- Start the services up. This will take time as the live site has to be re-scanned


Defines a UI object that can be contained within Views and Layouts, drawn, updated, and moved about
More...
|
| void | SetRelativeSize (UIContent parent, Point at, Point span) |
| | Sets the size of the element relative to its parent More...
|
| |
| void | SetRelativeSize (UIContent parent, int atRow, int atCol, int rowSpan, int colSpan) |
| | Sets the size of the element relative to its parent More...
|
| |
| virtual void | Draw (SpriteBatch spriteBatch) |
| | Draws the element to the window. Overriden in derived classes More...
|
| |
| abstract void | Update () |
| | Update the elements state and handles input. Overriden in derived classes More...
|
| |
|
| | UIElement (int rows, int cols) |
| | Initializes a new instance of the T:MB2D.UI.UIElement class. Sets default property values More...
|
| |
| void | DrawBorder (SpriteBatch spriteBatch) |
| | Draws the elements border to the window. Skips sides that have color set to Color.Transparent More...
|
| |
|
| UIContent | Content [get] |
| | Gets the UIContent of the element, only available in container elements More...
|
| |
| Vector2 | Size [get] |
| | Gets the column and row count of the element More...
|
| |
| Rectangle | BoundingBox [get] |
| | Gets the bounding box of this element More...
|
| |
| bool | Fill [get, set] |
| | Gets or sets a value that indicates the element should be stretched or shrunk to fill its parents bounds exactly More...
|
| |
| Color | BackgroundColor [get, set] |
| | Gets or sets the color of the elements background. More...
|
| |
| string | TextContent [get, set] |
| | Gets or sets the string rendered by the element. More...
|
| |
| Color | TextColor [get, set] |
| | Gets or sets the current color of the text. More...
|
| |
| SpriteFont | Font [get, set] |
| | Gets or sets the font used in rendering the elements TextContent More...
|
| |
| bool | BorderDisplayed [get, set] |
| | Gets or sets a value indicating whether this T:MB2D.UI.UIElement has itsborder displayed. More...
|
| |
| int | BorderWidth [get, set] |
| | Gets or sets the width of the border. More...
|
| |
| Color | BorderColor [get, set] |
| | Gets or sets the color of the border. More...
|
| |
| Color | BorderTopColor [get, set] |
| | Gets or sets the color of the border top. More...
|
| |
| Color | BorderRightColor [get, set] |
| | Gets or sets the color of the border right. More...
|
| |
| Color | BorderBottomColor [get, set] |
| | Gets or sets the color of the border bottom. More...
|
| |
| Color | BorderLeftColor [get, set] |
| | Gets or sets the color of the border left. More...
|
| |
| string | Tag [get, set] |
| | Gets or sets the tag used to quickly access this element and uniquely identify it. More...
|
| |
Defines a UI object that can be contained within Views and Layouts, drawn, updated, and moved about
§ UIElement()
| MB2D.UI.UIElement.UIElement |
( |
int |
rows, |
|
|
int |
cols |
|
) |
| |
|
inlineprotected |
Initializes a new instance of the T:MB2D.UI.UIElement class. Sets default property values
- Parameters
-
| rows | Number of rows this element should span - used only be used for container elements |
| cols | Number of columns this element should span - used only be used for container elements. |
§ Draw()
| virtual void MB2D.UI.UIElement.Draw |
( |
SpriteBatch |
spriteBatch | ) |
|
|
inlinevirtual |
§ DrawBorder()
| void MB2D.UI.UIElement.DrawBorder |
( |
SpriteBatch |
spriteBatch | ) |
|
|
inlineprotected |
Draws the elements border to the window. Skips sides that have color set to Color.Transparent
- Parameters
-
| spriteBatch | Sprite batch to draw the border to. |
§ SetRelativeSize() [1/2]
| void MB2D.UI.UIElement.SetRelativeSize |
( |
UIContent |
parent, |
|
|
Point |
at, |
|
|
Point |
span |
|
) |
| |
|
inline |
Sets the size of the element relative to its parent
- Parameters
-
| parent | Parent content to align to |
| at | Position element should be set to |
| span | Number of columns/rows the element should span. |
§ SetRelativeSize() [2/2]
| void MB2D.UI.UIElement.SetRelativeSize |
( |
UIContent |
parent, |
|
|
int |
atRow, |
|
|
int |
atCol, |
|
|
int |
rowSpan, |
|
|
int |
colSpan |
|
) |
| |
|
inline |
Sets the size of the element relative to its parent
- Parameters
-
| parent | Parent content to align to |
| atRow | Row position the element should align to. |
| atCol | Column position the element should align to. |
| rowSpan | Number of rows in the parent the element should span. |
| colSpan | Number of columns in the parent the element should span. |
§ Update()
| abstract void MB2D.UI.UIElement.Update |
( |
| ) |
|
|
pure virtual |
§ BackgroundColor
| Color MB2D.UI.UIElement.BackgroundColor |
|
getset |
Gets or sets the color of the elements background.
The color of the background.
§ BorderBottomColor
| Color MB2D.UI.UIElement.BorderBottomColor |
|
getset |
Gets or sets the color of the border bottom.
The color of the border bottom.
§ BorderColor
| Color MB2D.UI.UIElement.BorderColor |
|
getset |
Gets or sets the color of the border.
The color of the border. Resets all border sides' colors to this color.
§ BorderDisplayed
| bool MB2D.UI.UIElement.BorderDisplayed |
|
getset |
Gets or sets a value indicating whether this T:MB2D.UI.UIElement has itsborder displayed.
true
if border should be displayed; otherwise, false
.
§ BorderLeftColor
| Color MB2D.UI.UIElement.BorderLeftColor |
|
getset |
Gets or sets the color of the border left.
The color of the border left.
§ BorderRightColor
| Color MB2D.UI.UIElement.BorderRightColor |
|
getset |
Gets or sets the color of the border right.
The color of the border right.
§ BorderTopColor
| Color MB2D.UI.UIElement.BorderTopColor |
|
getset |
Gets or sets the color of the border top.
The color of the border top.
§ BorderWidth
| int MB2D.UI.UIElement.BorderWidth |
|
getset |
Gets or sets the width of the border.
The width of the border.
§ BoundingBox
| Rectangle MB2D.UI.UIElement.BoundingBox |
|
get |
Gets the bounding box of this element
The bounding box.
§ Content
Gets the UIContent of the element, only available in container elements
The content.
§ Fill
| bool MB2D.UI.UIElement.Fill |
|
getset |
Gets or sets a value that indicates the element should be stretched or shrunk to fill its parents bounds exactly
true
if set to fill parent; otherwise, false
.
§ Font
| SpriteFont MB2D.UI.UIElement.Font |
|
getset |
Gets or sets the font used in rendering the elements TextContent
The font.
§ Size
| Vector2 MB2D.UI.UIElement.Size |
|
get |
Gets the column and row count of the element
The elements grid size.
§ Tag
| string MB2D.UI.UIElement.Tag |
|
getset |
Gets or sets the tag used to quickly access this element and uniquely identify it.
The tag.
§ TextColor
| Color MB2D.UI.UIElement.TextColor |
|
getset |
Gets or sets the current color of the text.
The text contents current color value.
§ TextContent
| string MB2D.UI.UIElement.TextContent |
|
getset |
Gets or sets the string rendered by the element.
The content of the text.
The documentation for this class was generated from the following file:


Twitter Trends
Easily view Twitter trending topics and hashtags from a specific
location using Google Maps.
(Currently unavailable due to the new Twitter API policy)
Reactplosive Modal
A simple React modal component with an explosion effect.
Mackernews
A tiny Mac menu bar app that enables you to quickly access the
latest and most popular Hacker News stories.


| Interface | Description |
|---|---|
| ExperimentManager.ExperimentSearch |
| Class | Description |
|---|---|
| ExperimentManager |
Class that handles adding, retrieving, and modifying experiments from firestore.
|
| FirestoreDocument |
A class object that will be stored on firestore.
|
| FirestoreNestableDocument |
Class that has an id, ownerId and parentId in firestore.
|
| FirestoreOwnableDocument |
An object with an id as well as an id of the user that owns the object.
|
| ForumManager |
Handles adding, retrieving, and modifying questions and answers for experiment forums.
|
| MockExperimentManager |
Mock ExperimentManager to be injected into ExperimentManager for unit testing, simulates database interactions
Creates initial database containing one owned experiment, and 3 experiments from other users.
|
| MockForumManager |
Mock ForumManager to be injected into ForumManager for unit testing, simulates database interactions
|
| MockManager |
Initializes mock for all controllers for unit testing to simulate database interactions
|
| MockTrialManager |
Mock MockTrialManager to be injected into TrialManager for unit testing, simulates database interactions
|
| MockUserManager |
Mock UserManager to be injected into UserManager for unit testing, simulates database interactions
Creates initial database containing one 4 users.
|
| ScannerManager | |
| ScannerManager.Barcode |
Represents a barcode and its associated experiment and trial.
|
| TrialManager |
Class that handles adding, retrieving, and modifying experiment trials from firestore.
|
| UserManager |
Handles creating, retrieving, and modifying users as well as signing in to firestore.
|


Help
Support
Get paid support immediately by calling<PHONE_NUMBER> or emailing<EMAIL_ADDRESS>We will help you find a solution.
Community
Ask the community for answers to directly query scientists, developers, and experts in the cannabis industry.
Docs
Dive into the documentation to learn the specifics, how the engine functions, and how to solve the challenge at hand.


|
|
Spanish cuisine is heavily influenced by historical processes that shaped local culture and society in some of Europe's Iberian Peninsula territories. Geography and climate had great influence on cooking methods and available ingredients. These cooking methods and ingredients are still present in the gastronomy of the various regions that make up Spain. Spanish cuisine derives from a complex history where invasions and conquests of Spain have modified traditions which made new ingredients available. Thus, the current and old cuisine of Spain incorporates old and new traditions.
|
Spainish food is amazing |
| spanish footer |


Introducing User Admin
The User Admin application lets an administrator add, delete, and manage Hue user accounts and groups, and configure group permissions. The permissions allow users, based on their group membership, to launch Hue applications and use application features. You can add users and groups individually, or import them from an LDAP directory.
Contents
Starting User Admin
To start User Admin:
- Click the User Admin icon ( ) in the navigation bar at the top of the Hue browser page.
Working with User Accounts
The Hue User Admin application provides two levels of user privileges: superusers and users.
- Superusers — The first user who logs into Hue after its initial installation becomes the first superuser. Superusers have permissions to perform administrative functions:
- add and delete users
- add and delete groups
- assign permissions to groups
- change a user into a superuser
- import users and groups from an LDAP server
- Users — can change their name, e-mail address, and password and log in to Hue and run Hue applications, subject to the permissions provided by the Hue groups to which they belong.
Adding a User Account
To add a user account:
- In the User Admin page, click Add User.
- In the Add User dialog box, add information about the user.
The following table describes the options in the Add User dialog box.
| User Account Option |
Description |
| Username |
A user name that contains only letters, numbers, and underscores; blank spaces are not allowed and the name cannot begin with a number. The user name is used to log into Hue and in file permissions and job submissions. This is a required field. |
| Password and Password confirmation |
A password for the user. This is a required field. |
| First name and Last name |
The user's first and last name. |
| E-mail address |
The user's e-mail address. The e-mail address is used by the Job Designer and Beeswax applications to send users an e-mail message after certain actions have occurred. The Job Designer sends an e-mail message after a user's job has completed. Beeswax sends a message after a query has completed. If an e-mail address is not specified, the application will not attempt to email the user. |
| Groups |
The groups to which the user belongs. By default, a user is assigned to the default group, which allows access to all applications. See Assigning Permissions. |
| Active |
Indicate that the user account is enabled and the user is allowed to log in. |
| Create home directory |
Create a directory named /user/<Username> in HDFS. For non-superusers, the user and group of the directory are <Username>. For superusers, the user and group are <Username> and supergroup. |
| Superuser status |
Assign superuser privileges to the user. |
- Click Save to save the information you specified and close the Add User dialog box.
Deleting a User Account
To delete a user account:
- Select Delete in the row with the user name.
- Click Ok to confirm.
Editing a User Account
To edit a user account:
- Double-click the user account you want to edit in the Hue Users list, or Select Edit in the row with the user name.
- Make the changes to the user account and then click Save.
Importing Users from an LDAP Directory
Hue must be configured to use an external LDAP directory (OpenLDAP or Active Directory).
| Note Importing users from an LDAP directory does not import any password information. You must add passwords manually in order for a user to log in. |
To add a user from an external LDAP directory:
- Click Add/sync LDAP user.
- In the Add or Sync a LDAP user dialog, type the user name in the Username field.
- Check the Distinguished Name checkbox to use a full distinguished name for the user.
This imports the user's first and last name, username, and email, but does not store the user password.
- If the user already exists in the User Admin, this will sync the user information in User Admin with what is currently in the LDAP directory.
Syncing Users and Groups with an LDAP directory
You can sync the Hue user database with the current state of the LDAP directory using the Sync LDAP users/groups function. This will update the user/group information for the already imported users and groups. It does not import any new users or groups.
- Click Sync LDAP users/groups.
- In the Sync LDAP users and groups dialog, click Sync to perform the sync.
Working with Groups
Superusers can add groups, delete the groups they have created, configure group permissions, and assign users to group memberships.
Adding a Group
You can add groups, and delete the groups you've added. You can also import groups from an LDAP directory.
To add a group:
- In the User Admin window, click Groups and then click Add Group.
- In the Add Group dialog box, specify a name for the group. Group names can only be letters, numbers, and underscores; blank spaces are not allowed.
- To add users to the group, check the names in the list provided or check Select All.
- Click Save to save the information you specified and close the Add Group dialog box.
Adding Users to a Group
- In the User Admin window, click Groups.
- In the Groups list, click the Edit button.
- To add users to the group, check the names in the list provided or check Select All.
Deleting a Group
To delete a group:
- Click Groups to view the Groups list.
- Click the Delete button to the right of the group you want to delete.
- Click Yes to confirm.
Editing a Group
You can add and remove users, and create subgroups for groups created manually in Authorization Manager.
To edit a group:
- Click Groups to view the Groups list.
- Click the Edit button to the right of the group you want to modify.
- Make the changes for the group and then click Save.
Importing Groups from an LDAP Directory
To add a group from an external LDAP directory:
- From the Groups tab, click Add/sync LDAP group.
- In the Add or Sync a LDAP group dialog, type the group name in the Name field.
- Check the Distinguished Name checkbox to use a full distinguished name.
- Check Import new members to also import the members of the group. or the group.
Managing Application Permissions
Permissions for Hue applications are granted to groups, with users gaining permissions based on their group membership. Superusers can assign or remove permissions from groups, including groups imported from LDAP.
Group permissions define the applications within Hue that group members are allowed to launch, and the features they can use.
To assign or change Hue application permissions:
- Click Permissions.
- Click the Edit button next to the application for which you want to assign permissions.
- Select the Groups you want to have permission for the application. You can check Select All to select all groups.
- Click Save.
The new groups will appear in the Groups column in the Hue Permissions list.


Expected Allowance
问题描述 :
Hideyuki is allowed by his father Ujisato some 1000 yen bills every month for his pocket money.In the first day of every month, the number of bills is decided as follows. Ujisato prepares n pieces of m-sided dice and declares the cutback k. Hideyuki rolls these dice. The number of bills given is the sum of the spots of the rolled dice decreased by the cutback. Fortunately to Hideyuki, Ujisato promises him to give at least one bill, even if the sum of the spots does not exceed the cutback. Each of the dice has spots of 1 through m inclusive on each side, and the probability of each side is the same.
In this problem, you are asked to write a program that finds the expected value of the number of given bills.
For example, when n = 2, m = 6 and k = 3, the probabilities of the number of bills being 1,2, 3, 4, 5, 6, 7, 8 and 9 are ,respectively
Therefore, the expected value is
which is approximately 4.11111111..
输入:
The input is a sequence of lines each of which contains three integers n, m and k in this order.
They satisfy the following conditions.
1 ≤ n
2 ≤ m
0 ≤ k < nm
nm × m^n < 100000000 (10^8)
The end of the input is indicated by a line containing three zeros.
They satisfy the following conditions.
1 ≤ n
2 ≤ m
0 ≤ k < nm
nm × m^n < 100000000 (10^8)
The end of the input is indicated by a line containing three zeros.
输出:
The input is a sequence of lines each of which contains three integers n, m and k in this order.
They satisfy the following conditions.
1 ≤ n
2 ≤ m
0 ≤ k < nm
nm × m^n < 100000000 (10^8)
The end of the input is indicated by a line containing three zeros.
They satisfy the following conditions.
1 ≤ n
2 ≤ m
0 ≤ k < nm
nm × m^n < 100000000 (10^8)
The end of the input is indicated by a line containing three zeros.
样例输入:
2 6 0 2 6 3 3 10 9 13 3 27 1 2008 3 0 0 0
样例输出:
7.00000000 4.11111111 7.71000000 1.42902599 1001.50298805
#include<iostream> #include<algorithm> #include<stdio.h> using namespace std; const int N=100000; int dp[2][N]; int main() { int n,m,k; while(scanf("%d %d %d",&n,&m,&k)!=EOF) { if(n==m&&m==k&&k==0) break; memset(dp,false,sizeof(dp)); for(int i=1;i<=m;i++) dp[1][i]=1; for(int i=2;i<=n;i++) { for(int j=1;j<=i*m;j++) for(int t=1;t<=m;t++) dp[i&1][j+t]+=dp[(i-1)&1][j]; memset(dp[(i-1)&1],false,sizeof(dp[(i-1)&1])); } double ans=0.0; int i,j; for(i=1;i<=k+1;i++) ans+=dp[n&1][i]; j=2; while(i<=n*m) { ans+=dp[n&1][i]*j; i++; j++; } int tmp=1; i=1; while(i<=n) { tmp=tmp*m; i++; } printf("%.8lf\n",ans/tmp); } return 0; }
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/JKUYH][JP]HP]NH[
/JKUYH][JP]HP]NH[
/JKUYH][JP]HP]NH[
/JKUYH][JP]HP]NH[
/JKUYH][JP]HP]NH[
/JKUYH][JP]HP]NH[
/JKUYH][JP]HP]NH[
/JKUYH][JP]HP]NH[
/JKUYH][JP]HP]NH[
/JKUYH][JP]HP]NH[
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隐藏最深的bug是(start+end)/2有可能上溢
程序是对的。有些地方用了C++的写法
这是研发类的题还是算法类？
即为打印出的组合的个数C(n,r)，假设print函数复杂度为O(1)
Gucci New Fall Arrivals
This is really nice to know. I hope it will be successful in the future. Good job on this and keep up the good work.
多谢提醒。代码又编辑了一下
换句话说，A[k/2-1]不可能大于两数组合并之后的第k小值，所以我们可以将其抛弃。
应该是，不可能小于合并后的第K小值吧
样例输出和程序输出不吻合，修改一下样例输出吧。我用的是VC编译器，会提示我的i和j变量重复定义
有没有C++编译的？
程序只能输出一个子序列


:: com :: sun :: star :: text ::
|
| interface XTextDocument |
- Base Interfaces
XTextDocument
┗ ::com::sun::star::frame::XModel
┗ ::com::sun::star::lang::XComponent
| ::com::sun::star::frame::XModel |
- (referenced interface's summary:)
- represents a component which is created from an URL and arguments.
|
|
- Description
- is the main interface of a text document.
- See also
- TextDocument
|
| Methods' Details |
getText
- Returns
- the major Text of the text document.
This text does not contain texts in TextFrames,
or cells of TextTables etc. directly. These are
accessible from the contents via X...Supplier
(e.g. XTextTablesSupplier).
|
|
reformat
- Description
- reformats the contents of the document.
|
|
Top of Page
Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


All this modern technology just makes people try to do everything at once.
To make a bad day worse, spend it wishing for the impossible.
Why should I have to work for everything? It's like saying that I don't deserve it.


Ex TOWIE star Amy Childs 'set to make TV comeback on Celebs Go Dating'
Mel B and Amy Hart are also thought to be on board for E4 series
by Robert LeighAmy Childs will be back on the box after signing up for Celebs Go Dating.
The reality show fave, who shot to fame in the first two series of The Only Way Is Essex, is said to be looking for love after splitting from the dad of her second child.
Amy, 29, is apparently feeling in top form after ditching takeaways and drinking in the week - leading to her dropping a reported two stone.
A unnamed source is said to have told The Sun: "It's been a tough year for Amy and she’s been really keeping herself focused on looking after her children and staying busy with work.
Read more: Emotional Cheryl reveals son Bear is 'the reason she gets up in the morning'
"She’s been getting fit and working out and she feels great.
"Celebs Go Dating could be just the thing to get her meeting someone new."
In September, Amy - who helped introduce the rest of the world to the vajazzle - insisted to the tabloid she had 'got her mojo back'.
She also noted the changes in her diet were made with her kids in mind.
Read more: Gaynor Faye hints at return to Emmerdale just months after quitting
"I have got to think of my children. My children are my main priority," she said.
"I don't want to be having a takeaway everyday. I do eat healthy."
Amy added: "Now I look in the mirror and I'm a good 10. I still love a Prosecco, but that's just for the weekend now."
Mel B, Hollyoaks actor Malique Thompson-Dwyer and Love Island contestant Amy Hart are also believed to have been recruited for Celebs Go Dating.
Leave us a comment on our Facebook page @EntertainmentDailyFix and let us know what you think of this story.


This is the main isolate.
isolate
Send reply
delay reply:
ms
app version: .03
running on vm:
dart is not running


I'm A Celebrity viewers want Jacqueline Jossa 'to win' as she reveals another skill
She's trying to get Girls Aloud back together…
by Nancy BrownHer fangirling antics have been the talk of the jungle, with I'm A Celebrity star Jacqueline Jossa keen to get all the gossip from her famous campmates.
Whether it's insider information from Caitlyn Jenner about the Kardashians or Girl Aloud feud news from Nadine Coyle, viewers just can't get enough of Jac's questions.
In fact, some are saying Jacqueline has missed her calling and should swap acting for journalism.
"Can I ask you a question?" she asked Nadine. "What was it like being in a girl band?"
Read more: Fans beg Jane McDonald to be there when Adele is voted off I'm A Celebrity
"Really, really good. I liked being in a girl band. I'm one of three sisters so I'm used to being around girls," came her reply.
"Did you get on with everyone? I heard that you didn't get on with Cheryl," Jac probed.

Viewers, however, clearly thought that it was a "thing" and hailed Jacqueline's gossip-getting skills.
The former EastEnders star then turned her attentions to "reforming" Nadine's group, with the actress telling the Bush Telegraph she'd happily join and take someone's place.
Viewers seemed thrilled at the idea, with one saying Jacqueline deserved a "damehood" if she managed to get the band back together.
However, one person who may not be a Jac fan is her fellow campmate Andrew Maxwell after the two "clashed" during Wednesday night's show.
What do you think of Jacqueline's jungle antics? Let us know on our Facebook page @EntertainmentDailyFix.


Or click here to select a file =>
Ask for parameters for praat files.The TEI_CORPO format follows the proposals from the TEI Spoken ISO.
It matches fully the TEI standard.
A java for batch computing and complementary functions
can be downloaded here ici.
More informations are available here.
The Excel export option "one line per utterance" can be used to play linking video directly under Excel.
To do this, first export to Excel format, open the file and use copy and paste to insert the data in the downloadable Excel model
found here.
Warning, you must have VLC installed Downloading VLC.
Vidéos can be started under MACOS using the keys Alt+Cmd+W and under PC using the keys Shift+Ctrl+W.
This can be adjusted by editing the Excel macros.


Capabilities specify what your application can do. Select from the below, and we'll wire your application code, services, and OpenShift together end-to-end. When done, our friendly Welcome Application will show you how everything works.
There are no capabilities for this runtime please select another one


Larry Tesler
Tesler worked at Xerox Parc credited for early work on thinking about appropriate implementations of functions, e.g. avoiding complex modes [his numberplate is NOMODES]. He went on to lead some important work at Apple
"Findings from my early studies at Xerox PARC showed that modes were very difficult for people to deal with.
People were always getting into the wrong mode and did not know how to get back out."
"even an idea that seems elegant and that satisfies some principle is not necessarily going to succeed. The only way to find out is to test it."
"To make the tests of maximum benefit to the
designers, there are certain rules we try to
follow:
"Even if the subject makes an obvious statement, a trivial remark, or suggests something tha% is impossible to do on a computer, it is important to welcome his reactions and discuss them as an equal."
"We start out asking open questions. "Well, what do you think?" or "What was hard; what was easy?" Later we pose more direct questions like "The
time you made that certain error, what were you thinking?" or "What do you think is a better term for this concept?" Usually in the open-question stage we get some really good responses that are unexpected. The directed questions address more specific issues."
"Occasionally, some user's unique quirk may be worth memtioning~ but what is of most concern is what most or all users experienced."
"Some people think they can design friendly software just by being clever or by reading papers on principles of user interface design.


Project goals: Design and develop a responsive storytelling website.
Personal goal for the project: Being a Pakistani, I care about the perception of international
community towards Pakistan. And when there are hundreds of negative things floating around, I want to
show the positive image of Pakistan and tell other communities what this country has to offer. I have
been travelling to different parts of the country and want to leverage my journeys to take viewers into
the beautiful valleys and introduce the most humble and friendliest people on planet.
Tour North is a storytelling website demonstrating the journey to the North of Pakistan - Gilgit. Sounds, videos and images takes user to the amazing valleys and creates a unique audio-visual experience to develop a narrative story environment.
Sketches, Wireframes, Mock-ups, Web Development, Photography
The first thing I did was seared for tons of inspirations around the web, looked different layouts and get inspirations from those websites. After that I realized that the content is the most important factor in storytelling, so I start writing my content and sort images, videos and sound content I intend to display. Soon after that I start sketching the layout and ideas.
To create an experience and create a feeling of serenity I used slow instrumental sounds with the blend of actual sound of the nature, lakes & valleys.
While designing I also emphasized on creating micro interactions. This makes web elements looks real as they have a life in them and responds back to user as they interact with elements.
Initially I decided to go with the top fixed navigation, but fixed navigation was always coming in the way of 100% width content I intend to display. I also realize that since the website is one page and there is no unusual lengthy scroll I can bundle the navigation into hamburger icon. But I believe there is still a lot of opportunities for improvement.
After making above decisions i quickly came up with the basic wireframes to inform Hi-fi mock-ups decisions.
As far as visual design is concerned i decided to go with one color only and rest of the colors will be brought by the content itself.
The website was developed using basic front-end technologies like HTML5, SASS, JavaScript, JQuery and Bootstrap framework. The website is responsive and use serve side caching to load resources quickly.


Getting Started
The design system can be used in a couple of different ways:
- As a reference, by visiting https://cmsgov.github.io/eqrs-design-system/
- By importing an NPM package [package name, link] ← this is in-progress work
- By downloading the raw code directly from Github: https://github.com/CMSgov/eqrs-design-system
For Designers
Future build: Sketch file, CSS references, visual references. This is the single source of truth.
For Developers
Future build: Angular references, HTML / CSS references, visual references. This is the single source of truth.


This dialog window appears after clicking the key icon from within the Diffie-Hellman Demonstration.
The dialog offers additional information on the session key, which Alice and Bob have negotiated.
Besides the key length for the keys of Alice and Bob you can see whether both separately computed keys are identical.
If the verification is successful, it is theoretically possible for Alice and Bob to use this session key to encrypt messages they send to each other.


GCODE Operations
- Math: + - * / ** () < >
- Calculating different values eg. G1 Z{[[LayerThickness]]-[[ZLiftDistance]]*[[LayerNumber]]}
- Conditionals: () < >
- Add conditionals to your math logic eg. G1 Z{([[LayerNumber]]<30)*1+0.5} if current layer is less than 30 lift 1.5mm if not lift 0.5mm
- Base 16 Binary
- To send binary codes to drivers / controllers you can use base 16 format eg. \x00\x00\xff


'The Killers' is a band from Las Vegas, Nevada. They formed in 2001 with Brandon Flowers, Dave Keuning, Mark Stoermer, and Ronnie Vannucci Jr.


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Develop Amazon's customer journey map when buying groceries online from Whole Foods.
Friday, July 3, 2020
Today's question was an opportunity to use the "5Es Framework" discussed by Lewis Lin in The Product Manager Interview: Entice, Enter, Engage, Exit, and Extend. If you are not familiar with Lin's work I highly recommend his books or simply following him on LinkedIn or Twitter. In the case of Amazon and Whole Foods, it's interesting to think about how purchases made in one context could inform data analytics in the other. I'd be interested to know if you think this would be creepy or a step too far in the "recommendations" space. For example, if you had an Amazon Prime points credit card, would you be comfortable with Amazon pulling data from each of your grocery store purchases, whether they were at Whole Foods or another retailer?
My response
The customer journey map I would develop for a customer purchasing groceries from Whole Foods using Amazon's web platform would consist of the following:
Entice: To attract customers to the offering, Amazon would prioritize Whole Foods shopping on its landing page for users who match the targeted segment, such as parents who purchase household staples, like toilet paper, napkins, and paper towels, using Amazon Prime.
Enter: Upon beginning their shopping experience, the user would then see suggested groceries. If they have shopped online for groceries before or if they have shopped at Whole Foods with an Amazon Prime credit card, "purchase again" options would be available. Grocery recommendations would be a mix of practical options and some impulsive and spontaneous options that may bring joy the customer's experience.
Engage: Users would have the option to add items to their cart, save items to custom grocery lists, and view similar products and complementary products commonly purchased with the viewed items.
Exit: The customer would receive notifications throughout the lifecycle of their groceries being picked at the store; When the picker begins, if there are any substitutes that need to be made, and when the order is complete and ready to be picked up. After picking up their groceries, customers would be asked to take a short survey to provide feedback on their experience in exchange for a small discount on a future grocery purchase.
Extend: Publish personalized email newsletters on a weekly basis, delivered the day or two before the customer tends to make their grocery purchases. This "newsletter" would be mostly machine generated recommendations and complementary items, as well as any regular purchases that may be on sale or out of stock.
Respond on Twitter


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Find Pharmacy
Please visit our Pharmacy Locator to search a complete listing of Granite Alliance’s network pharmacies. A pharmacy is considered in-network when we have made arrangements with them to provide prescription drugs to plan members. Once you fill a prescription at one pharmacy, you are not required to continue going to that same pharmacy. You may switch to another in-network pharmacy. Your medications may not be covered if you do not go to a pharmacy that is in-network. For additional information on your benefits please review your Evidence of Coverage.
Pharmacies may be added or removed from our network during the plan year. We update the Pharmacy Locator tool each month to ensure you are always viewing the most current information.
2021 Pharmacy Locator
Aside from Retail Pharmacy locations there are several other types of pharmacies available based on your needs. You can contact us at<PHONE_NUMBER> (TTY: 711) for more information on any of these types of pharmacies.
You can get prescription drugs shipped to your home through our network mail order delivery program. For refills of your mail order prescriptions, please contact us 20 days before you think the drugs you have on hand will run out to make sure your next order is shipped to you in time. Typically, you should expect to receive your prescription drugs within 14 days from the time that the mail order pharmacy receives the order. Please call us if you do not receive your prescription drug(s) within this time.
Granite Alliance Insurance Company (PDP) only covers the cost of prescription drugs obtained from home infusion pharmacies. We do not cover other costs associated with home infusion pharmacy services, such as nursing services and home infusion medical supplies. These services may be covered under your medical insurance benefits.
Residents of a long-term care facility may access their prescription drugs covered under Granite Alliance through their facility's long-term care pharmacy or another network long-term care pharmacy.
Only Native Americans and Alaska Natives have access to Indian Health Service / Tribal / Urban Indian Health Program (ITU) Pharmacies through Granite Alliance's pharmacy network. Those other than Native Americans and Alaskan Natives may be able to access these pharmacies under limited circumstances (e.g., emergencies).


4. Logistic Regression¶
4.1. Introduction¶
In linear regression our main interest was centered on learning the coefficients of a functional fit (say a polynomial) in order to be able to predict the response of a continuous variable on some unseen data. The fit to the continuous variable \(y_i\) is based on some independent variables \(\hat{x}_i\). Linear regression resulted in analytical expressions for standard ordinary Least Squares or Ridge regression (in terms of matrices to invert) for several quantities, ranging from the variance and thereby the confidence intervals of the parameters \(\hat{\beta}\) to the mean squared error. If we can invert the product of the design matrices, linear regression gives then a simple recipe for fitting our data.
Classification problems, however, are concerned with outcomes taking the form of discrete variables (i.e. categories). We may for example, on the basis of DNA sequencing for a number of patients, like to find out which mutations are important for a certain disease; or based on scans of various patients’ brains, figure out if there is a tumor or not; or given a specific physical system, we’d like to identify its state, say whether it is an ordered or disordered system (typical situation in solid state physics); or classify the status of a patient, whether she/he has a stroke or not and many other similar situations.
The most common situation we encounter when we apply logistic regression is that of two possible outcomes, normally denoted as a binary outcome, true or false, positive or negative, success or failure etc.
Logistic regression will also serve as our stepping stone towards neural network algorithms and supervised deep learning. For logistic learning, the minimization of the cost function leads to a non-linear equation in the parameters \(\hat{\beta}\). The optimization of the problem calls therefore for minimization algorithms. This forms the bottle neck of all machine learning algorithms, namely how to find reliable minima of a multi-variable function. This leads us to the family of gradient descent methods. The latter are the working horses of basically all modern machine learning algorithms.
We note also that many of the topics discussed here on logistic regression are also commonly used in modern supervised Deep Learning models, as we will see later.
4.2. Basics¶
We consider the case where the dependent variables, also called the responses or the outcomes, \(y_i\) are discrete and only take values from \(k=0,\dots,K-1\) (i.e. \(K\) classes).
The goal is to predict the output classes from the design matrix \(\hat{X}\in\mathbb{R}^{n\times p}\) made of \(n\) samples, each of which carries \(p\) features or predictors. The primary goal is to identify the classes to which new unseen samples belong.
Let us specialize to the case of two classes only, with outputs \(y_i=0\) and \(y_i=1\). Our outcomes could represent the status of a credit card user that could default or not on her/his credit card debt. That is
Before moving to the logistic model, let us try to use our linear regression model to classify these two outcomes. We could for example fit a linear model to the default case if \(y_i > 0.5\) and the no default case \(y_i \leq 0.5\).
We would then have our weighted linear combination, namely
where \(\hat{y}\) is a vector representing the possible outcomes, \(\hat{X}\) is our \(n\times p\) design matrix and \(\hat{\beta}\) represents our estimators/predictors.
The main problem with our function is that it takes values on the entire real axis. In the case of logistic regression, however, the labels \(y_i\) are discrete variables. A typical example is the credit card data discussed below here, where we can set the state of defaulting the debt to \(y_i=1\) and not to \(y_i=0\) for one the persons in the data set (see the full example below).
One simple way to get a discrete output is to have sign functions that map the output of a linear regressor to values \(\{0,1\}\), \(f(s_i)=sign(s_i)=1\) if \(s_i\ge 0\) and 0 if otherwise. We will encounter this model in our first demonstration of neural networks. Historically it is called the “perceptron” model in the machine learning literature. This model is extremely simple. However, in many cases it is more favorable to use a ``soft” classifier that outputs the probability of a given category. This leads us to the logistic function.
4.3. The logistic function¶
The perceptron is an example of a ``hard classification” model. We will encounter this model when we discuss neural networks as well. Each datapoint is deterministically assigned to a category (i.e \(y_i=0\) or \(y_i=1\)). In many cases, it is favorable to have a “soft” classifier that outputs the probability of a given category rather than a single value. For example, given \(x_i\), the classifier outputs the probability of being in a category \(k\). Logistic regression is the most common example of a so-called soft classifier. In logistic regression, the probability that a data point \(x_i\) belongs to a category \(y_i=\{0,1\}\) is given by the so-called logit function (or Sigmoid) which is meant to represent the likelihood for a given event,
Note that \(1-p(t)= p(-t)\).
The following code plots the logistic function, the step function and other functions we will encounter from here and on.
%matplotlib inline
"""The sigmoid function (or the logistic curve) is a
function that takes any real number, z, and outputs a number (0,1).
It is useful in neural networks for assigning weights on a relative scale.
The value z is the weighted sum of parameters involved in the learning algorithm."""
import numpy
import matplotlib.pyplot as plt
import math as mt
z = numpy.arange(-5, 5, .1)
sigma_fn = numpy.vectorize(lambda z: 1/(1+numpy.exp(-z)))
sigma = sigma_fn(z)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(z, sigma)
ax.set_ylim([-0.1, 1.1])
ax.set_xlim([-5,5])
ax.grid(True)
ax.set_xlabel('z')
ax.set_title('sigmoid function')
plt.show()
"""Step Function"""
z = numpy.arange(-5, 5, .02)
step_fn = numpy.vectorize(lambda z: 1.0 if z >= 0.0 else 0.0)
step = step_fn(z)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(z, step)
ax.set_ylim([-0.5, 1.5])
ax.set_xlim([-5,5])
ax.grid(True)
ax.set_xlabel('z')
ax.set_title('step function')
plt.show()
"""tanh Function"""
z = numpy.arange(-2*mt.pi, 2*mt.pi, 0.1)
t = numpy.tanh(z)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(z, t)
ax.set_ylim([-1.0, 1.0])
ax.set_xlim([-2*mt.pi,2*mt.pi])
ax.grid(True)
ax.set_xlabel('z')
ax.set_title('tanh function')
plt.show()
4.4. Two parameters¶
We assume now that we have two classes with \(y_i\) either \(0\) or \(1\). Furthermore we assume also that we have only two parameters \(\beta\) in our fitting of the Sigmoid function, that is we define probabilities
where \(\hat{\beta}\) are the weights we wish to extract from data, in our case \(\beta_0\) and \(\beta_1\).
Note that we used
4.5. Maximum likelihood¶
In order to define the total likelihood for all possible outcomes from a
dataset \(\mathcal{D}=\{(y_i,x_i)\}\), with the binary labels
\(y_i\in\{0,1\}\) and where the data points are drawn independently, we use the so-called Maximum Likelihood Estimation (MLE) principle.
We aim thus at maximizing
the probability of seeing the observed data. We can then approximate the
likelihood in terms of the product of the individual probabilities of a specific outcome \(y_i\), that is
from which we obtain the log-likelihood and our cost/loss function
Reordering the logarithms, we can rewrite the cost/loss function as
The maximum likelihood estimator is defined as the set of parameters that maximize the log-likelihood where we maximize with respect to \(\beta\). Since the cost (error) function is just the negative log-likelihood, for logistic regression we have that
This equation is known in statistics as the cross entropy. Finally, we note that just as in linear regression, in practice we often supplement the cross-entropy with additional regularization terms, usually \(L_1\) and \(L_2\) regularization as we did for Ridge and Lasso regression.
The cross entropy is a convex function of the weights \(\hat{\beta}\) and, therefore, any local minimizer is a global minimizer.
Minimizing this cost function with respect to the two parameters \(\beta_0\) and \(\beta_1\) we obtain
and
Let us now define a vector \(\hat{y}\) with \(n\) elements \(y_i\), an \(n\times p\) matrix \(\hat{X}\) which contains the \(x_i\) values and a vector \(\hat{p}\) of fitted probabilities \(p(y_i\vert x_i,\hat{\beta})\). We can rewrite in a more compact form the first derivative of cost function as
If we in addition define a diagonal matrix \(\hat{W}\) with elements \(p(y_i\vert x_i,\hat{\beta})(1-p(y_i\vert x_i,\hat{\beta})\), we can obtain a compact expression of the second derivative as
Within a binary classification problem, we can easily expand our model to include multiple predictors. Our ratio between likelihoods is then with \(p\) predictors
Here we defined \(\hat{x}=[1,x_1,x_2,\dots,x_p]\) and \(\hat{\beta}=[\beta_0, \beta_1, \dots, \beta_p]\) leading to
4.6. Including more classes¶
Till now we have mainly focused on two classes, the so-called binary system. Suppose we wish to extend to \(K\) classes. Let us for the sake of simplicity assume we have only two predictors. We have then following model
1 5
< < < ! ! M A T H _ B L O C K
and so on till the class \(C=K-1\) class
and the model is specified in term of \(K-1\) so-called log-odds or logit transformations.
In our discussion of neural networks we will encounter the above again in terms of a slightly modified function, the so-called Softmax function.
The softmax function is used in various multiclass classification methods, such as multinomial logistic regression (also known as softmax regression), multiclass linear discriminant analysis, naive Bayes classifiers, and artificial neural networks. Specifically, in multinomial logistic regression and linear discriminant analysis, the input to the function is the result of \(K\) distinct linear functions, and the predicted probability for the \(k\)-th class given a sample vector \(\hat{x}\) and a weighting vector \(\hat{\beta}\) is (with two predictors):
It is easy to extend to more predictors. The final class is
and they sum to one. Our earlier discussions were all specialized to the case with two classes only. It is easy to see from the above that what we derived earlier is compatible with these equations.
To find the optimal parameters we would typically use a gradient descent method. Newton’s method and gradient descent methods are discussed in the material on optimization methods.


install with npm install --save rxjs-socket.io
import {IO} from 'rxjs-socket.io'
const Socket = new IO();
const {helloWorld$, dondeEsLaBiblioteca$} = this.socket.listen([
'hello-world',
{name: 'where-is-the-library', once: true, initialState: 'not-found'},
]);
helloWorld$.subscribe(newState => console.debug('helloWorld$',newState));
dondeEsLaBiblioteca$.subscribe(newState => console.debug('dondeEsLaBiblioteca$',newState));
Socket.connect('http://localhost:5000');
rxjs-socket.io was made to wrap RxJs and Socket.IO onto a standardized api of sorts. It achieves this by storing the Events you feed it between connections, in memory. This is made so you only need to create the subscriptions once and from then on your events can be subscribed to, unsusbcribed or turned off when the need arises.
The core idea is that we separate events and connection into two different steps; We create and feed events to an
array that will be then looped when the socket connects and have the population of the array fed in turn to socket.io.
It will turn the raw event callback from socket.io onto a ioEvent
Class which owns a RxJs ReplaySubject proprety
that you can then control, along with information about the event.
Check the IO Class and ioEvent for in depth understanding of the methods.
import {IO, ioEvent} from 'rxjs-socket.io'
import {Subscription} from 'rxjs/Subscription';
/** create a new pointer to the SocketIO wrapper */
const socket = new IO();
/** create a new Event which will be pushed into @socket on connection */
const onHelloWorld: ioEvent = new ioEvent("hello-world");
/** since ioEvent returns an observable in one of its props, lets go ahead and define a subscription*/
let helloWorld$: Subscription;
let state;
/** tell socket io to listen to the hello world event and subscribe to the result */
helloWorld$ = socket.listenToEvent(onHelloWorld)
.event$.subscribe((newState) => state = newState);
/** the hello world event we just created will be pushed once the connection is established */
socket.connect('http://localhost:5000');
let _eventData: any;
get state(): any { return this._eventData };
/** This function will be ran **after** the `.next()` update */
onHelloWorld.onUpdate = (newState) => this._eventData = newState;
socket.listenToEvent(onHelloWorld);
onHelloWorld.initialState = 1; // 1;
onHelloWorld.initialState = {world: '1'}; // {world: '1'}
onHelloWorld.initialState = {area: '2'}; // {wordl: '1', area: '2'}
const onHelloWorld = new ioEvent('hello-world');
const checkLastEvent = () => console.log(onHelloWorld.lastEvent);
const helloWorld$ = this.socket.listenToEvent(onHelloWorld)
.event$.suscribe(checkLastEvent);
There's a typings wiki and a typedoc generated documentation. Anything else, the code is pretty verbose. Go ahead and dive in :)
Generated using TypeDoc


wallhack
`Prev `__
W
`Next `__
--------------
**wallhack**
A form of game cheat especially associated with first-person shooters
like Quake, in which the walls in the simulated maze or dungeon are
rendered transparent to the cheater. This gives the cheater normally
hidden information about the whereabouts of other players. Beyond
gaming, a wallhack is the paradigm case of a whole class of security
problems that stem from the fact that a server cannot trust client
software, and server authors must assume that all computation farmed out
to a client is exposed to and can be interfered with by the user.
--------------
+------------------------------+----------------------------+--------------------------+
| `Prev `__ | `Up <../W.html>`__ | `Next `__ |
+------------------------------+----------------------------+--------------------------+
| wall wart | `Home <../index.html>`__ | wango |
+------------------------------+----------------------------+--------------------------+


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Features.
What a great looking features page!


--- layout: page title: "Calendar" permalink: /calendar/ description: "Calendar of upcoming events and workshops." ---


Welcome to feeder
Posts from feeds you've subscribed to are shown here. And system messages, like this one. Click the sprocket-icon on the top-right to list your current subscriptions or to add subscriptions. If you have an OPML file, select OPML and then import to add its feeds to your subscriptions. It may take a while for new feeds for posts to get loaded by the background process that processes feeds.
Click on a post's title to view the item's description. Use the down arrow to load the post's URL into the i-frame (this doesn't work with all websites). Use the right arrow to open the post's URL into a new window or tab. Use the cross to close the post view.
Viewing posts marks them as read. When scrolling down, post titles moving out of view are marked as read. When marking posts as read (and when the server responds), the new total of unread posts is updated top-right.
If you notice something out of the ordinary, feel free to post an issue.
If you're not sure where to find RSS feed URL's, try importing this example OPML.
Enjoy!


Humans use the vanilla DF pets, so everything should be very straightforward. Your civ might also tame locally available animals, for example a test-fort had access to tame elephants.
::: Sheep ::: Price 51
Smallish quadruped that can be sheared for fleece, giving 3 units of thread/cloth each time.
::: Donkey ::: Price 101
Large quadruped which is mostly farmed for meat and leather. Can carry tradegoods.
::: Pig ::: Price 51
Smallish quadruped which is mostly farmed for meat and leather.
::: Cavy ::: Price 11
Small rodent, farmed for meat.
::: Duck ::: Price 16
Smallish bird that lays eggs and can give feathers when butchered. Mostly used for relyable food production.
::: Water Buffalo ::: Price 101
Large and strong quadruped, farmed for meat and leather. Can carry goods and pull wagons.
::: Goat ::: Price 16
Smallish quadruped that can be milked. Farmed for cheese production, as well as meat.
::: Guineafowl ::: Price 16
Small bird that lays eggs and can give feathers when butchered. Mostly used for relyable food production.
::: Rabbit ::: Price 11
Small rodent, farmed for meat.
::: Blue Peafowl ::: Price 16
Small bird that lays eggs and can give feathers when butchered. Mostly used for relyable food production.
::: Turkey ::: Price 16
Smallish bird that lays eggs and can give feathers when butchered. Mostly used for relyable food production.
::: Chicken ::: Price 16
Smallish bird that lays eggs and can give feathers when butchered. Mostly used for relyable food production.
::: Dog ::: Price 16
Medium sized canine, usually bought as guard animal. Can be trained for the hunt or war. In addition can learn combat skills and can be armored in either iron or steel, unlocked by the farmers guild. These upgrades also affect the attack power of the animal.
::: Cat ::: Price 11
Small feline, usually bought for pest control. Adopts its owner and hunts vermin. Great backup food source. Kitten meat burgers are great.
::: Horse ::: Price 101
Large quadruped, usually used as pack or pull animal. Can also be armored in iron or steel in the war kennels, unlocked by the farmers guild.
::: Cow ::: Price 151
Large quadruped, which can be milked. Usually farmed for meat and leather.


for WebGL
<EMAIL_ADDRESS>| https://github.com/mjsolidariosUse the navigation buttons or the arrow keys to proceed to the remaining slides.
You can also press > >F < < on your keyboard to show your presentation in fullscreen mode.
This presentation is best explored with up-to-date web browsers.
Before we start, we need to setup our tools first (VSCode & Firefox Developer Edition).
WebGL unleashes the power of graphics processors to developers on an open web platform, and all major browsers support it.
WebGL uses JavaScript as its programming language.
JavaScript is a scripting or programming language that allows you to implement complex things on web pages (MDN).
JavaScript was created by Brendan Eich in 1995 during his time at Netscape Communications.
JavaScript has an undeniably familiar syntax with Java.
Java - Compiled Programming Language
JavaScript - Interpreted Programming Language
public class Sample {
public static void main(String[] args) {
System.out.println("Hello world!");
try {
final MissileSilo silo = new MissileSilo("silo.weapons.mil");
silo.launchMissile(args[0]);
} catch(Exception e) {
System.out.println("Unexpected exception: " + e);
}
}
}
console.log('Hello world');
try {
const silo = new MissileSilo('silo.weapons.mil');
silo.launchMissile(process.argv[0]);
} catch(e) {
console.log('Unexpected exception' + e);
}
JavaScript variables are loosely typed.
var foo = 1;
var bar = "A String";
var boolean_variable = true;
var an_array = [1,2,3,4];
Printing the output to the console.
console.log("Hello World");
JavaScript loops are very similar to other OOP languages. This is an example for loop.
var cats = ["Bill", "Jeff", "Pete", "Biggles", "Jasmin"];
for (let i = 0; i < cats.length; i++) {
if (i === cats.length - 1) {
info += 'and ' + cats[i] + '.';
} else {
info += cats[i] + ', ';
}
}
var cats = ["Bill", "Jeff", "Pete", "Biggles", "Jasmin"];
let i = 0;
while (i < cats.length) {
if (i === cats.length - 1) {
info += 'and ' + cats[i] + '.';
} else {
info += cats[i] + ', ';
}
i++;
}
var cats = ["Bill", "Jeff", "Pete", "Biggles", "Jasmin"];
let i = 0;
do {
if (i === cats.length - 1) {
info += 'and ' + cats[i] + '.';
} else {
info += cats[i] + ', ';
}
i++;
} while (i < cats.length);
Functions allow you to store a piece of code that does a single task inside a defined block, and then call that code whenever you need it using a single short command.
function draw() {
ctx.clearRect(0,0,WIDTH,HEIGHT);
for (let i = 0; i < 100; i++) {
ctx.beginPath();
ctx.fillStyle = 'rgba(255,0,0,0.5)';
ctx.arc(random(WIDTH), random(HEIGHT), random(50), 0, 2 * Math.PI);
ctx.fill();
}
}
draw();
We also have another version on how to declare a function in JavaScript - functions with no name
var myGreeting = function() {
alert('hello');
}
myGreeting();
Open up the hello.pdf and type the code.


|
Drake
|
An extension for ignition::math::Splines that reparameterizes them by path length. More...
#include <drake/automotive/maliput/rndf/spline_helpers.h>
Public Member Functions | |
| ArcLengthParameterizedSpline (std::unique_ptr< ignition::math::Spline > spline, double error_boundary) | |
| Constructor that takes a spline and an error bound for path length parameterization approximations. More... | |
| ignition::math::Vector3d | InterpolateMthDerivative (int derivative_order, double s) |
| Interpolates \( Q(s) \), that is, the spline parameterized by path length. More... | |
| ignition::math::Spline * | BaseSpline () |
| double | FindClosestPointTo (const ignition::math::Vector3d &point, double step) const |
| Finds the closest point on the spline to a point in space. More... | |
Does not allow copy, move, or assignment | |
| ArcLengthParameterizedSpline (const ArcLengthParameterizedSpline &)=delete | |
| ArcLengthParameterizedSpline & | operator= (const ArcLengthParameterizedSpline &)=delete |
| ArcLengthParameterizedSpline (ArcLengthParameterizedSpline &&)=delete | |
| ArcLengthParameterizedSpline & | operator= (ArcLengthParameterizedSpline &&)=delete |
An extension for ignition::math::Splines that reparameterizes them by path length.
|
delete |
|
delete |
|
explicit |
Constructor that takes a spline and an error bound for path length parameterization approximations.
| [in] | spline | the spline to be parameterized by path length. |
| [in] | error_boundary | a positive constraint on the maximum error allowed when approximating the path length parameterization. |
| std::runtime_error | When spline is nullptr. |
| std::runtime_error | When error_boundary is not a positive number. |
|
inline |
Finds the closest point on the spline to a point in space.
It will iterate over the range of s of the spline which is 0 to 1 in terms of ignition::math::Spline's parameter at constant path length step
increments. On each iteration we get the distance and save the path length coordinate that gives the minimum distance.
| point | the point in space from which we want to get the s path length value whose image of the direct function (the spline) within 0 and the total length of the direct function. |
| step | the path length increment to iterate over the complete spline path length. |
point
. Interpolates \( Q(s) \), that is, the spline parameterized by path length.
| [in] | derivative_order | a non-negative integer describing the order of the function derivative to interpolate. Since cubic interpolation is done, any derivative order greater than 3 will be zero. |
| [in] | s | path length to interpolate at, constrained by the curve dimensions [0, path_length]. |
derivative_order
derivative \( Q^{(derivative_order)}(s) \). | std::runtime_error | If derivative_order is a negative integer. |
|
delete |
|
delete |


Web Components - Ransom Note
Below is a ransom note component.
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Give us the cheezburger monies hoomans!


Ride London
So this weekend has been the Ride London cycling festival.
For those that don’t know, the Ride London festival is a two day cycling festival with the Saturday seeing many of London’s roads closed to allow people to cycle traffic free along parts of London that would usually be full of cars. The Sunday sees the traffic free roads extend down into Dorking and Surrey to allow riders to cycle a 100 mile route with no traffic.
I didn’t enter the lottery for the Ride London 100 (the Sunday ride) this year and I didn’t want to enter for a charity as many charities had huge costs associated with riding for them (Anthony Nolan wanted £750 sponsorship per person!)
However, the Saturday ride is free so that’s what I did.
Ride
I joined the ride at Trafalgar Square - I wasn’t quite sure what the process was but just joined as everyone stopped to let pedestrians cross.
We headed down to Embankment and then out towards the City.
With no traffic, and the City being fairly empty, I managed to get some photos.
The impressive Cheesegrater building (there was recently a documentary on this on Channel 5 explaining the design and build process that was really interesting - great to see BIM getting used now in the trade!)
I was also able to get a close up of one of my favourite buildings in London - the Lloyds building.
Coming back round London, things got a little congested at the Mall.
I ended up meeting Bumblebee on the route round and then towards halfway round the second time, we bumped into more of the London Brompton Club.
At this point, we decided to call it a day and headed to Look Mum, No Hands! for a well earned tea and cake - the route was good, however, I think I’d rather take my chances with the traffic! I saw a number of instances of crashes - potentially some of them were from people going far to quick for how busy it was (some points it was PACKED) and others seemed to be from kids all over the place (which is fair enough, as they’re to young to know better).
Detour
I left the club and then headed over to Regent’s Park to meet the girlfriend and friends and finished the day sat in the park. It’s only the second time I’ve cycled part of the park - I think I should do some laps at some point as it was quite a nice road surface and everything.
I took the P type - partly because I was going to get myself a Brompton Rack bag for my holidays in a few weeks time but I ended up forgetting my wallet! Anyhow, was nice to get it out and give it a spin! Still think I need to break the Brooks saddle in a bit more though. Maybe it’ll be ready for the St Crispins Day night ride that I’ve signed up to last week.


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Test aggregate channel features object detector given ground truth. USAGE [miss,roc,gt,dt] = acfTest( pTest ) INPUTS pTest - parameters (struct or name/value pairs) .name - ['REQ'] detector name .imgDir - ['REQ'] dir containing test images .gtDir - ['REQ'] dir containing test ground truth .pLoad - [] params for bbGt>bbLoad for test data (see bbGt>bbLoad) .pModify - [] params for acfModify for modifying detector .thr - [.5] threshold on overlap area for comparing two bbs .mul - [0] if true allow multiple matches to each gt .reapply - [0] if true re-apply detector even if bbs already computed .ref - [10.^(-2:.25:0)] reference points (see bbGt>compRoc) .lims - [3.1e-3 1e1 .05 1] plot axis limits .show - [0] optional figure number for display OUTPUTS miss - log-average miss rate computed at reference points roc - [nx3] n data points along roc of form [score fp tp] gt - [mx5] ground truth results [x y w h match] (see bbGt>evalRes) dt - [nx6] detect results [x y w h score match] (see bbGt>evalRes) EXAMPLE See also acfTrain, acfDetect, acfModify, acfDemoInria, bbGt Piotr's Computer Vision Matlab Toolbox Version 3.40 Copyright 2014 Piotr Dollar. [pdollar-at-gmail.com] Licensed under the Simplified BSD License [see external/bsd.txt]


⛺Yalla Kampi ⛺
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About Us
Yalla Kampi is an online space where you can find everything you need about camping. On this platform, you can discover new and secure places where you can camp. You can also buy some of your favorite items such as clothing and camping material.
Our Team
Frikha Eya
Baoueb Mohamed Iyed
Damak Neila
Fatnassi Ahmed Amine
Ben Yahmed Welid
What Do we offer ?
Our website provides you with a map of secure and beautiful places where you can camp and enjoy many nice views.
Click on your destination on the map and you will get all the details you need about it.
We also have an online store where you can find all the items you need for you journey. We have a diversity of clothes, shoes and camping materials from different brands and prices. But that’s not all of it.
If you want to go camping and you don’t have a lot of time to take care of the logistics, we got your back!
In fact, this platform enables you to contact the nearest police office to your desired destination and send them a request in order for you to camp officially and guarantee your safety. Yalla Kampi is the perfect tool for you to be ready for camping and not waste any unnecessary time to prepare for your adventure.
Let the Fun Begin ..
camping material
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Preparation time
1-2 hours
Cooking time
1 to 2 hours
Serves
Serves 4-6
For the onion, beer and mustard gravy, melt the butter in a pan until foaming, then stir in the sugar. Add the finely chopped onions and cook over a low heat for 20-30 minutes, or until golden-brown and caramelised.
Stir in the mustard powder and pour in the stock and beer and simmer for 15-20 minutes, or until the liquid has reduced in volume by half. Season, to taste, with salt and freshly ground black pepper and keep warm.
For the pancakes, season the flour with salt and freshly ground black pepper and mix with the beaten egg until well combined. Gradually add the milk, whisking continuously, until the mixture comes together as a smooth batter with the consistency of double cream. Add the melted butter and beat until smooth. Stir in the chopped herbs and set aside to stand for 20 minutes.
Heat the olive oil in a non-stick pan and add a few tablespoons of the pancake batter, spreading it out into a circle. Cook for 1-2 minutes, or until golden-brown underneath, then carefully flip over and cook for a further 1-2 minutes, or until golden-brown all over and cooked through. Repeat with the remaining pancake mixture to make 2-3 pancakes, adding more oil to the pan as needed.
Cut the pancakes into squares, lay them flat on an oven tray lined with greaseproof paper and set aside.
For the duxelles, melt the butter in a frying pan until foaming, then add the shallots and fry for 3-4 minutes, or until softened. Add the mushrooms and cook with the lid on for 4-5 minutes, or until tender.
Drain the soaked porcini mushrooms and finely chop, then add to the pan with the mushrooms. Stir in the cream and cook with the lid off for 4-5 minutes, or until most of the liquid has evaporated and the mixture is thick and creamy.
Set aside to cool. Once cooled, stir in the parsley and the egg white. Transfer the mixture to a food processor and blend until the mixture forms a coarse paste.
Spread the mushroom duxelles in an even layer over the pancakes, then cover the tray with cling film and chill in the fridge until the duxelles have set.
For the beef Wellington, preheat the oven to 180C/350F/Gas 4.
Season the beef with salt and freshly ground black pepper. Heat a frying pan until very hot, then add the vegetable oil. Sear the beef all over for 2-3 minutes, turning occasionally, until the beef is golden-brown all over. Set aside to cool.
Roll out the pastry to a 20cm x 30cm/8in x 10in rectangle and place the duxelles-lined pancakes over the pastry. Lay the seared beef fillet in the middle, then draw the pastry and pancakes over the beef, wrapping it completely. Seal the ends of the pastry with some of the beaten egg.
Cut a few holes into the top of the pastry to allow steam to escape. Brush the pastry all over with the remaining beaten egg, then place the beef Wellington on a baking tray. Bake the Wellington in the oven for 25-30 minutes (for rare beef), or until the pastry is golden-brown and crisp. Keep warm.
For the goats' cheese, garlic and chervil mash, melt the butter in a pan and add the lightly crushed garlic. Remove from the heat and allow to infuse for 30 minutes.
Cook the potatoes in a pan of boiling salted water for 10-12 minutes, or until tender, then drain the potatoes and return to the pan. Place back over the heat to drive off any excess moisture, then mash with a potato masher until smooth.
Beat in the cream, goats' cheese and garlic-infused butter, then fold in the chopped chervil. Season, to taste, with salt and freshly ground black pepper.
For the broad beans, lettuce and shallots, melt the butter in a pan and fry the shallots for 3-4 minutes, or until softened.
Add the blanched broad beans and chicken stock to the pan and bring to a simmer. Stir the shredded Baby Gem lettuce into the pan and cook for 1-2 minutes, or until tender.
To serve, thickly slice the beef Wellington and divide among serving plates. Spoon the goats' cheese, garlic and chervil mash alongside, followed by the broad beans, lettuce and shallots. Drizzle over the onion, beer and mustard gravy and serve immediately.


Documentation
The documentation contains detailed guides and references for how to build static sites with Sistine. To get acquainted and get a feel for Sistine, you may prefer the Get started guide.
The documentation contains detailed guides and references for how to build static sites with Sistine. To get acquainted and get a feel for Sistine, you may prefer the Get started guide.
A catalog of the Sistine command line commands and options
The canonical reference manual for Sistine's templating language and system
Files and folders that live in a Sistine project, and what they all do
The extra features that Sistine's Markdown parser supports, and where it deviates from the norm