The 2019 National Student Survey (NSS) which measures student satisfaction on courses had a NSS results of 100% for the Computing and Information Systems degree.
This course offers flexibility with 16 optional modules to choose from in years 2 and 3. It is ideal if you are looking for a wide range of computing skills: from web design and development with PHP and JavaScript, programming in languages such as C# and Python, mobile app coding in Java, and embedded systems with C++. You will develop skills in cyber security, database management and CISCO network systems support, and have the option to study specialised subjects such as AI with Machine Learning and Big Data. We will help you develop a systematic, creative and flexible approach to problem solving that computing professionals rely on.
The course is designed with modules to promote your professional growth and personal development. You will be encouraged to acquire key practical skills to help you build a broad base and deep knowledge of computing. This will allow you to make informed choices when developing specialist in-depth knowledge in your preferred areas.
Employability is a key focus with guest speakers from industry, practical case studies, vocational assignment scenarios and modules which have been developed alongside employers. We encourage entrepreneurs and will provide you with the opportunity to gain the knowledge necessary to develop your own business ideas around the latest technical innovations. Students also take part in the Global Day of Code and Agile Peterborough events, along with regular sessions for meeting professionals and build working relationships.
The Major Project is your chance to develop expertise in a subject of your choice, which can form the centre-piece for your portfolio ready for future interviews. You will have the opportunity to demonstrate this work to industry professionals at our annual exhibition of final year projects. Examples of previous projects include VR computer games, specialised applications of Drones and Raspberry Pi based systems such as digital weather stations and in-car diagnostic dashboards.
The courses at University Centre Peterborough are studied in smaller class sizes compared with other universities, a typical class size is under 30 students.
If you are applying to start in September 2021, you must meet the following entry requirements:
If you have completed the FdSc Computing & Information Systems at UCP you can start Level 6 of the BSc (Hons) Computing & Information Systems to obtain a full honours degree.
Mature students or students who do not have the above qualifications can contact our admissions team on 01733 214466 or<EMAIL_ADDRESS>to discuss equivalent qualifications or relevant work experience.
You must have GCSE English language and mathematics at a minimum of grade C or grade 4.
If English is not your first language you will require a recognised Level 2 English language qualification or an IELTS score of 6.0 (with 5.5 minimum in each skill) or an equivalent English Language qualification.


Scientist and software engineer. PhD in Computational Neuroscience. Based in the Vogels Lab at Oxford University. Main interests: olfactory learning, insect learning, mushroom body, dopamine modulated plasticity.
Recent theoretical results has shown that backpropagation does not need symmetric weights to achieve high performance for training an SNN. Zenke et al. 2016 has proposed a three-factor learning rule that can learn precise output spike trains called SuperSpike. I implemented a spiking neural network based on the olfactory circuit of the fly and I adapted the SuperSpike learning rule to the problem of olfactory reinforcement learning.
View ProjectWe developed a spiking neural network based on the known wiring diagram of the olfactory circuit of the fruit fly. We tested a family of learning rules to find a mechanism for learning, forgetting and re-learning that is in accordance with experimental evidence.
View ProjectI developed a library for gesture recognition based on the Microsoft Kinect camera and tested in a game where the user had to control a ball with his body movements and a prototype.
View Project
I developed Microsoft Kinect video games based on gesture recognition control to study opportunities to use gesture recognition in physical rehabilitation.
My DPhil was foncused on modelling how olfactory reinforcement learning is encoded in the fruit fly, Drosophila Melanogaster. I developed a spiking neural network and implemented a series of learning rules to test how dopamine and plasticity interact. I have also been a teaching assistant for introduction to programming, Graph Theory and Computational neuroscience modules.


Before Change
noise_sample = noise_like(means, self.prior)
else:
stochastic_parts = []
for p in range(0, self.number_of_samples):
stochastic_parts.append(noise_like(means, self.prior))
noise_sample = tf.reduce_mean(tf.stack(stochastic_parts), axis=0)
output_tensor = means + tf.exp(0.5 * logvariances) * noise_sample
After Change
if self.number_of_samples == 1:
noise_sample = noise_shaped_like(tf.shape(means), self.prior)
else:
shape_of_expanded_sample = tf.concat([tf.constant(self.number_of_samples, shape=[1, ]), tf.shape(means)], 0)
noise_sample = noise_shaped_like(shape_of_expanded_sample, self.prior)
noise_sample = tf.reduce_mean(noise_sample, axis=0)
return means + tf.exp(0.5 * logvariances) * noise_sample


{% extends 'email_template.html' %} {% block content %}
Hello {{ name }},
We thank you for your interest in visiting the virtual Houston ARTCC. However, your request to visit the ARTCC has been unfortunately denied due to the following reason:
{{ reason }}
If you believe there has been an error or wish to appeal this decision, please contact<EMAIL_ADDRESS>or<EMAIL_ADDRESS>immediately!
{% endblock %}


Reviewing Performance Profiles¶
The performance profile is tied to the batch size and core count. It is used to optimize, retrain, and utilize Neural Magic’s DeepSparse Engine to achieve faster inference timings.
You might see two types of performance profiles listed in the Performance Profiles section of the navigation bar:
“baseline” (the name entered on the New Project Setup dialog)—the profile that you defined, which includes measured values of how long it took to run your model as well as each layer in the model.
FLOPS—a profile that is a theoretical measurement of performance based on the floating point operations per second profile. This graph always appears and indicates the compute-intensivity of your model. A larger model has more FLOPS, while a smaller model has fewer FLOPS. In general, a model with more FLOPS will take longer to run.
The Performance Profile consists of three sections:
Model Summary
Layer Summaries
Layer Results
Model Summary¶
The Model Summary provides information about the performance profile, including the batch size, core count, and instruction sets that were available when the profile was run.
The Model Summary also shows how fast the model ran and how fast Sparsify estimates that it can run when optimized.
Measured speed of the model when the profile was run indicates how fast the model runs currently through DeepSparse Engine. Timing information is displayed as milliseconds per batch and what that equates to as items per second.
Estimated speedup times (with limited effect on the loss) are indicated if model optimizations are applied. Timing information is displayed as estimated milliseconds per batch and the estimated performance speedup factor if the model is optimized.
The next portion of the screen enables you to visualize where the timing for your model is going.
Layer Summaries¶
This graph shows where the majority of time is spent for different layer types.* This can help you determine if optimization will be helpful. It shows the potential speedup time or speedup percentage per layer type based on optimization.
The layer types (operators) will vary based on the model.
Note: The specific layer types depend on the model that is loaded.
In the following example, most of the time is spent in convolution, and convolution is an area in which pruning can result in significant speedup. Conversely, if the graph showed that most of the time is spent in shuffle or other subgraphs, pruning would not help.
ORT indicates times that were not run through the DeepSparse Engine and instead went through ONNX runtime. ORT items do not get speedup.
The Summary Type is set as Baseline MS by default. This shows the results of running the model as fast as possible without optimization. Options are available to review the results based on measurements with different pruning values. For example, if you select Pruned 0.9 MS, the results are shown to represent 90% pruning (90% sparse, 10% dense) across the entire model.
Layer Results¶
This graph drills down deeper on a per node, per layer basis to see what was run and where time was spent on your model. You can look at the various optimizations that were run for profiling to determine which layer runs fastest and where there may be problems running the model. For example, if you see that two of the layers are each taking 20% of the time, you will want to either re-architect or extensively prune those layers to optimize the time.
Layer ID is the ONNX ID for the layer.
Weight name comes from the ONNX graph. It is held constant across ONNX and all the way back to the original framework (PyTorch or TensorFlow).
Adding a New Performance Profile¶
You can identify a new performance profile:
Click the icon in the Performance Profiles section of the navigation bar.
Enter the profile name.
You can change the batch size and/or CPU cores, which can affect the optimization and performance differently. Generally, larger batch sizes enable better efficiency in the engine for both sparse and dense models; therefore, throughput can be increased even more by increasing the batch size for most models.
Click ADD.
Next steps…
Continue by reviewing your Loss Profiles. Then, you will be ready to Optimize.


The jQuery team is constantly working to improve the code. Each commit to the Github repo generates a work-in-progress version of the code that we update on the jQuery CDN. These versions are sometimes unstable and not suitable for production sites. We recommend they be used to determine whether a bug has already been fixed when reporting bugs against released versions, or to see if new bugs have been introduced. There are two versions, one for the compat branch (supports IE 8) and one for the master branch (not for use with old IE).


Password Visibility
Enter your username and password to login.
Current Password
New Password
Show passwords
Change Passwords


Implemented using the REST API for the NFL located at NFL_Official.
| Feature | Status |
|---|---|
| Daily Change Log | - |
| Game Boxscore | JUST JSON |
| Game Roster | JUST JSON |
| Game Statistics | JUST JSON |
| League Hierarchy | IMPLEMENTED |
| Play-by-Play | JUST JSON |
| Player Profile | IMPLEMENTED |
| Schedule | IMPLEMENTED |
| Seasonal Statistics | JUST JSON |
| Standings | IMPLEMENTED |
| Team Profile | IMPLEMENTED |
| Weekly Schedule | JUST JSON |


Buying the right telescope to take your love of astronomy to the next level is a big next step in the development.
God creates dinosaurs. God destroys dinosaurs. God creates Man. Man destroys God. Man creates Dinosaurs. We gotta burn the rain forest, dump toxic waste, pollute the air, ou know what? It is beets. God creates dinosaurs. God destroys dinosaurs. God creates Man. Man destroys God. Man creates Dinosaurs. We gotta burn the rain forest, dump toxic waste.
Buying the right telescope to take your love of astronomy to the next level is a big next step in the development.
God creates dinosaurs. God destroys dinosaurs. God creates Man. Man destroys God. Man creates Dinosaurs. We gotta burn the rain forest, dump toxic waste, pollute the air, ou know what? It is beets. God creates dinosaurs. God destroys dinosaurs. God creates Man. Man destroys God. Man creates Dinosaurs. We gotta burn the rain forest, dump toxic waste.
Buying the right telescope to take your love of astronomy to the next level is a big next step in the development.
God creates dinosaurs. God destroys dinosaurs. God creates Man. Man destroys God. Man creates Dinosaurs. We gotta burn the rain forest, dump toxic waste, pollute the air, ou know what? It is beets. God creates dinosaurs. God destroys dinosaurs. God creates Man. Man destroys God. Man creates Dinosaurs. We gotta burn the rain forest, dump toxic waste.


--- layout: post title: Date formats published: true meta: posterous_60e8ef2b7d9ddd23e14a941a8878b49c_post_id: "24765699" _searchme: "1" posterous_60e8ef2b7d9ddd23e14a941a8878b49c_permalink: http://maxlynchmadison.posterous.com/date-formats tags: [] type: post status: publish ---
One of my least favorite programming pursuits is dealing with date formatting. Specifically figuring out the right format string to parse a given date. I think it's a complete waste of time, but I understand some environments have need to be very strict. I would say most people can take the risk of an incorrectly parsed date and just use a good date parser.
The best library I've ever used for parsing dates is python-dateutil for Python. I hear Joda Time for Java is good but it seems to suffer from the "having to know your date format before you parse" problem. Date parsing is hard, but python-dateutil does a great job for what I need it to so I can get on with my application.


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status,-updated_on
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---
layout: post
title: Charitable calls
date: '2015-01-27T07:30:00+01:00'
categories:
- Ello Mobile
- Illustration
- Klare Lijn — Ligne Claire
picture_url: https://film-Storyboards.tumblr.com/post/109296396208/to-start-2015-ello-mobile-belgiums-first-mobile
---
To start 2015, Ello Mobile, Belgium’s first mobile operator to donate 100% of its profits to charity—has new tariffs. If you are in Belgium and use a smartphone, it is worth to check it out.


{% extends "base.html" %} {% block body %}
There are zombies out there.  This tool shows you where they are.
You should travel in groups, invite your friends, it's safer. Tell the tool where you're going, and try to get there safely. If a zombie turns red, it's chasing you. You build a fortification to keep the zombies away, but not more than once every 10 minutes. When you leave your fortification, it goes away. Other people can stay safe inside your fortification, so you can protect your friends, and your friends can protect you.


Intelligent way to see, manage and decide about client’s smoke test results. Access this service anywhere you are! Enjoy analytics to check incident trends and predict major showstoppers! Have unique real-time view of your environment(s) against current incidents! Use the force of blockchain to determine which transaction/event/incident caused a major disruption in your client’s business!
Clients need to know (now!) whether or not they can complete their assignments when using their company’s system. Most of clients already have a solution to keep IT “things” running and reports being generated – but provided communications are sometimes hard to read and not all users are at their desks! How do they get things really Integrated without affording another costy promisse (again)?
Time Saving; Incident Cost Reduction ; Experience at Mobile ; Improved Quality in Communication
Mobile, Analytics, Automation, Microservices and Blockchain
Clients can gather and manage all relevant information from smoke test results and make it easily accessible to key players in the format they want via mobile. Consolidated ledger can be used to demonstrate the environment's integrity and predict showstoppers via blockchain, analytics, microservices and automation; Improved response time for incidents & escalations


If the characters 'D', 'C', 'B', 'A' are placed in a stack (in that order), and then removed one at a time, in what order will they be removed?
Items come off of a stack in the opposite order from how they went in.


| /index.html | The bootstrap HTML, Javascript & CSS |
| /api/resources/index.php | This will concatenate our Javascript & CSS source files together and send them as a JSON string. |
| /css/global.css | |
| /source/application/applicationcontroller.js | Start off by making a single Javascript file for our application, & create others later |
| /jquery.min.js | Download the latest version from jquery.com |
| /offline.manifest.php | The app cache manifest file. |
<html manifest="offline.manifest.php">
APP.applicationController.start()
for the purposes of this tutorial)| /source/database.js | Some simple functions to make using the client side (WebSQL) database easier. |
| /source/templates.js | The V in MVC. View logic will go in here. |
| /source/articles/article.js | The model for articles - in this case just some database functions. |
| /source/articles/articlescontroller.js | The controller for articles. |
| /api/articles/index.php | An API method for actually getting the news. |
open
will open (or create a new) 5MB* database and ensure a table called articles with some appropriate fields exists so that the app can store the articles for offline reading.runQuery
is just a simple helper method that makes running queries on the database a little simpler.No articles have been found, maybe you haven\'t refreshed the news?
'; } for (i = 0, l = articles.length; i < l; i = i + 1) { output = output + 'runQuery
function always returns an array of rows even if you're only expecting a single result. This means the APP.templates.article()
function will need to accept an array that contains a single article to be compatible with that. A new method could easily be added to the database function which could run a query but only return the first result, but for now this will do.
As our app grows we might like to split this file up, the article functions could go into /source/articles/articlesview.js, for example.
/source/articles/article.js
This file will deal with communication between the article controller and the database.
[js]
APP.article = (function () {
'use strict';
function deleteArticles(successCallback) {
APP.database.runQuery("DELETE FROM articles", [], successCallback);
}
function insertArticles(articles, successCallback) {
var remaining = articles.length, i, l, data = [];
if (remaining === 0) {
successCallback();
}
// Convert article array of objects to array of arrays
for (i = 0, l = articles.length; i < l; i = i + 1) {
data[i] = [articles[i].id, articles[i].date, articles[i].headline, articles[i].author, articles[i].body];
}
APP.database.runQuery("INSERT INTO articles (id, date, headline, author, body) VALUES (?, ?, ?, ?, ?);", data, successCallback);
}
function selectBasicArticles(successCallback) {
APP.database.runQuery("SELECT id, headline, date, author FROM articles", [], successCallback);
}
function selectFullArticle(id, successCallback) {
APP.database.runQuery("SELECT id, headline, date, author, body FROM articles WHERE id = ?", [id], successCallback);
}
return {
insertArticles: insertArticles,
selectBasicArticles: selectBasicArticles,
selectFullArticle: selectFullArticle,
deleteArticles: deleteArticles
};
}());
[/js]
There are complexities to be dealt with here:-
var article = { headline: 'Something has happened!', author: 'Matt Andrews', … etc }
). In order to insert an article of this form this WebSQL, it'll need to be converted into an array - which is what happens on line #17selectBasicArticles
(plural) and selectFullArticle
.
.ajax
method, it first download the latest articles from the RSS feed (formatted using JSON).APP.articles.deleteArticles
function to clear the database of any articles that are currently storedAPP.article.insertArticles
to push the articles that have been just downloaded into the database.json_encode
.
[php]
xpath($xpath);
if ($items) {
$output = array();
foreach ($items as $id => $item) {
// This will be encoded as an object, not an array, by json_encode
$output[] = array(
'id' => $id + 1,
'headline' => strval($item->title),
'date' => strval($item->pubDate),
'body' => strval(strip_tags($item->description,'
')),
'author' => strval($item->children('http://purl.org/dc/elements/1.1/')->creator)
);
}
}
echo json_encode($output);
[/php]
Although we've finished adding all the new files we're not quite done yet.
/api/resources/index.php
We need to update the resource compiler to let it know the locations of our newly added Javascript files, so /api/resources/index.php becomes:-
[php]
/source/application/applicationcontroller.js
And finally we will need to update applicationcontroller.js so that all the new functions we've added can actually be used by our users.
[js]
APP.applicationController = (function () {
'use strict';
function offlineWarning() {
alert("This feature is only available online.");
}
function pageNotFound() {
alert("That page you were looking for cannot be found.");
}
function showHome() {
$("#body").html(APP.templates.home());
// Load up the last cached copy of the news
APP.articlesController.showArticleList();
$('#refreshButton').click(function () {
// If the user is offline, don't bother trying to synchronize
if (navigator && navigator.onLine === false) {
offlineWarning();
} else {
APP.articlesController.synchronizeWithServer(offlineWarning);
}
});
}
function showArticle(id) {
$("#body").html(APP.templates.articleLoading());
APP.articlesController.showArticle(id);
}
function route() {
var page = window.location.hash;
if (page) {
page = page.substring(1);
if (parseInt(page, 10) > 0) {
showArticle(page);
} else {
pageNotFound();
}
} else {
showHome();
}
}
// This is to our webapp what main() is to C, $(document).ready is to jQuery, etc
function start(resources, start) {
APP.database.open(function () {
// Listen to the hash tag changing
$(window).bind("hashchange", route);
// Inject CSS Into the DOM
$("head").append("");
// Create app elements
$("body").html(APP.templates.application());
// Remove our loading splash screen
$("#loading").remove();
route();
});
if (storeResources) {
localStorage.resources = JSON.stringify(resources);
}
}
return {
start: start
};
}());
[/js]
(Working from bottom to top) this file will handle the following functionality:-
APP.applicationController.start()
:-
route
function - more on this below.route
function.route
function will get the current hash tag:-
showHome
function.showArticle(id)
.showHome
and showArticle(id)
will put some basic HTML into the page and call the articleController's showArticleList
and showArticle(id)
functions, respectively. The showHome
also sets up the event listener so that the refresh button triggers the articleController's synchronizeWithServer
[sic] method.Continue to part 2 - Going cross platform with an FT style web app


Markdown Inside HTML
This is *not* Markdown **encoded**.
This
is
Markdown
encoded
.
This
is
Markdown
encoded
.
This
is
Markdown
encoded
.
This
is
Markdown
encoded
.
This
is
Markdown
encoded
.
Test Edge Cases
*a*
a


EDUCATION
Louth Cllr McGreehan elected vice-chair of LMETB
by Tia ClarkeCouncillor Erin McGreehan has been elected Vice-Chair of the Louth Meath Education and Training Board. Cllr McGreehan was elected unopposed last Thursday 21st November at the LMETB Board Meeting.
The Chair of the LMETB is Cllr Nick Killian. He was elected at the October Meeting.
Following her election, McGreehan said she was ''delighted to be elected Vice-Chair of LMETB''.
Cllr McGreehan added: ''I am a proud graduate of an LMETB school Bush Post Primary, so I am very aware of the importance of this organisation to the local communities that it serves at both primary and post-primary level.
''I look forward to working with the CEO Martin O’Brien and the Chairperson Cllr Nick Killian. The education and training the LMETB provides are essential in the economic and social development of our region and I am enthused by the challenge put
forward to me.''


r/place clone
(
,
) (
white
light-grey
grey
black
pink
red
orange
brown
yellow
light-green
green
turquoise
skyblue
blue
light-purple
purple
)


NAME
bdep-common-options
– details on common options
SYNOPSIS
bdep [common-options] ...
DESCRIPTION
The common options control behavior that is common to all or most of the
bdep
commands. They can be specified either before the
command or after, together with the command-specific options.
COMMON OPTIONS
-v
- Print essential underlying commands being executed. This is equivalent
to
--verbose 2
. -V
- Print all underlying commands being executed. This is equivalent to
--verbose 3
. --quiet
|-q
- Run quietly, only printing error messages. This is equivalent to
--verbose 0
. --verbose
level
- Set the diagnostics verbosity to
level
between 0 and 6. Level 0 disables any non-error messages while level 6 produces lots of information, with level 1 being the default. The following additional types of diagnostics are produced at each level:- High-level information messages.
- Essential underlying commands being executed.
- All underlying commands being executed.
- Information that could be helpful to the user.
- Information that could be helpful to the developer.
- Even more detailed information.
--jobs
|-j
num
- Number of jobs to perform in parallel. If this option is not specified
or specified with the
0
value, then the number of available hardware threads is used. This option is also propagated when executing package manager commands such asbpkg-pkg-update(1)
,bpkg-pkg-test(1)
, etc., which in turn propagate it to the build system. --no-progress
- Suppress progress indicators for long-lasting operations, such as network transfers, building, etc.
--bpkg
path
- The package manager program to be used for build configuration
management. This should be the path to the
bpkg
executable. You can also specify additional options that should be passed to the package manager program with--bpkg-option
.If the package manager program is not explicitly specified, then
bdep
will by default usebpkg
plus an executable suffix if one was specified when buildingbdep
. So, for example, ifbdep
name was set tobdep-1.0
, then it will look forbpkg-1.0
. --bpkg-option
opt
- Additional option to be passed to the package manager program. See
--bpkg
for more information on the package manager program. Repeat this option to specify multiple package manager options. --build
path
- The build program to be used to build packages. This should be the
path to the build2
b
executable. You can also specify additional options that should be passed to the build program with--build-option
.If the build program is not explicitly specified, then
bdep
will by default useb
plus an executable suffix if one was specified when buildingbdep
. So, for example, ifbdep
name was set tobdep-1.0
, then it will look forb-1.0
. --build-option
opt
- Additional option to be passed to the build program. See
--build
for more information on the build program. Repeat this option to specify multiple build options. --curl
path
- The curl program to be used for network operations. You can also
specify additional options that should be passed to the curl program with
--curl-option
.If the curl program is not explicitly specified, then
bdep
will usecurl
by default. --curl-option
opt
- Additional option to be passed to the curl program. See
--curl
for more information on the curl program. Repeat this option to specify multiple curl options. --pager
path
- The pager program to be used to show long text. Commonly used pager
programs are
less
andmore
. You can also specify additional options that should be passed to the pager program with--pager-option
. If an empty string is specified as the pager program, then no pager will be used. If the pager program is not explicitly specified, thenbdep
will try to useless
. If it is not available, then no pager will be used. --pager-option
opt
- Additional option to be passed to the pager program. See
--pager
for more information on the pager program. Repeat this option to specify multiple pager options. --options-file
file
- Read additional options from
file
. Each option should appear on a separate line optionally followed by space or equal sign (=
) and an option value. Empty lines and lines starting with#
are ignored. Option values can be enclosed in double ("
) or single ('
) quotes to preserve leading and trailing whitespaces as well as to specify empty values. If the value itself contains trailing or leading quotes, enclose it with an extra pair of quotes, for example'"x"'
. Non-leading and non-trailing quotes are interpreted as being part of the option value.The semantics of providing options in a file is equivalent to providing the same set of options in the same order on the command line at the point where the
--options-file
option is specified except that the shell escaping and quoting is not required. Repeat this option to specify more than one options file.
BUGS
Send bug reports to the<EMAIL_ADDRESS>mailing list.


Introduction:
Welcome to my github page.
I am Gregory Daly (GDRMc, GDR, also known as n5bt, 5unburn, or many other related names). I am a french programmer, that's what i'm studying right now. I am filling this page to show all the things i am working on. It can be the work i have to do for school to all the crazy projects i have in mind.
I love coffee, american series, doing some homework sometimes. I enjoy solving bugs (no, i am not crazy). I really love finding the solution of my problems, challenges, expecially when i'm in front of a computer with an editor. And SOMETIMES, i play some videogames.
I used to code in JAVA, i started learning it since 2014. I enjoy doing websites in HTML/CSS with some JQuery and PHP sometimes, that's what i learnt.  (Please follow me! :3)
Personnal projects:
EzNote (JAVA)
Pronounce "easynote". This project is about creating a lightweight text editor in java, with basic functionalities.
Go to the repository, see my sources, issues, and more... !
Download the latest EzNote release
CityGame (JAVA)
A base core for a "Monopoly like" game. Discontinued for the moment.
Go to the repository, see my sources, issues, and more... !
School repositories:
Programmation Orientée Objet (JAVA)
Sounds really nice in french ! This is all the work i study in JAVA this year. It's the french equivalent of Object Oriented Development.
Go to the repository, see my sources, issues, and more... !
Administration et programmation système (Bash)
L2-S2 Université de La Rochelle - Administration et programmation système
Access the repository (French) !
Transmission, Systèmes et Réseaux (Bash / Java)
L2-S2 Université de La Rochelle - Transmission, Systèmes et Réseaux
Access the repository (French) !
MultiConsoleChat (JAVA)
L2-S2 Université de La Rochelle - Transmission, Systèmes et Réseaux. Socket de chat multi-client / serveur en ligne de commande
Access the repository (French) !
Old school repositories: (discontinued)
Algorithmique et Structure de Données (JAVA)
Algorithms and Data Structure. This is a JAVA class i got last year. This repository is discontinued but you can access all the sources !
Go to the repository, see my sources, issues, and more... !
Directed Work
ScrabbleDev (JAVA)
Related to the last repository. This is a Scrabble game i had to put in a project to test it. I don't really remember if it works, but it's here !
Go to the repository, see my sources, issues, and more... !
TD/TP JAVA INTRODUCTION
All the basics of JAVA i learnt in class since i used Netbeans
First Repository !
Second Repository !


a==b
and deallocation.
mt_object args[n+1]
if n
arguments are needed. The first one (args[0]
) is the self-argument.
| Date | Task | Notes |
|---|---|---|
201507
| New slicing and range Syntax: a..b||step .
| This was changed to a..b:step in 201603 .
|
201507
| Use flexible array member (C-struct hack)
in the implementations of mt_tuple
and mt_string .
| |
201508
| Should isalpha and so on on empty string be true or false? | True, due to compability with allquantor. |
201509
| Construct string objects from literals only on module load. | |
201509
| Hash function has to be separated from insert function. | |
201509
| Specify overwriting rules for extend(a,b) .
| Already existent slots in a shall not be overwritten, because extend should have the same semantics as delegating. Overwriting is already possible via record(a).update(record(b)) .
|
201603
| Replace non-strict Compiler (shunting yard, no AST) written in C++ with Compiler with strict syntactic analysis (AST producing recursive descent) written in C. | Now the new compiler is almost complete and compiles a superset of the old. |
201605
| Replace plain pointer approach with tagged union approach | This was a major bunch of work. In arithmetic benchmarks,
execution got faster by a factor of three and seems now to be
faster (gcc -O3 ) than Python 2.7. But it is slower than
Lua 5.2 by a factor of two.
Arithmetic does not need malloc anymore, and thats a good thing if we consider memory allocations evil in a certain way (runtime and memory consumption). One does never know what is inside of malloc and it can get slower if memory is rare. Implementations can differ between different operating systems. |
201605
| Add import-statement to the programming language. | use math: pi, sin, cos
|
201606
| Wich names should be chosen for shallow copy and deep copy? | Let copy(x) be a shallow copy and copy(n,x)
a copy of deepness n . Let copy(null,x) be
a complete deep copy. Thus it is consistent with const(x)
and const(n,x) .
|
201606
| New general multi dimension indexing: a[i,j,k]
will behave like a.get(i,j,k) and a[i,j,k]=value
will behave like a.set(value,i,j,k) .
| This enables higher dimensional slices and assignments to slices too. |
201608
| Basic format strings (snprintf analog)
| "{}|{}"%[m,n] # snprintf(a,N,"%li|%li",m,n)
"{4f2}"%[x] # snprintf(a,N,"%4.2f",x)
|
201608
| Provide a syntax to state the self argument explicitly. | One has to separate self argument and argument list
by a semicolon: m=a.m; m(a;x) instead of
m.a(x) . This runs faster and is more clear than
m.call(a,x) .
|


In order to maintain a healthy lifestyle. For a lot of activities in your life would be easier.To your look improve.


#include <lca.hpp>
This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.
nullptr


{% extends "base.html" %} {% block content %}
Your picture doesn't have enough cats in it. Enter an image URL; we'll find the faces and put cats on them for you. Picture improved.
We only retain images for three days. Make sure you download any images worth saving.
....LOADING!
If the image is already online, throw the url in here:


Home
Survey
Which Programming Language Track Should I Take Survey
Hit Start To Begin
Start
Why Do You Want To Learn Computer Programming?
To Land A High Paying Job In The Tech Industry
Because You Love Coding
You Want To Learn A New Skill
What Is Your Previous Experience With Computer Programming?
Zero Experience With Programming
Basic Understanding Of How To Read And Write Code
Already Know A Few Programming Languages And Want To Learn A Few More
Where Do You Imagine Yourself Working After Graduating From Epicodus
A Big Corporation With A Consistent Routine And Work Environment
A Small Start-Up Company With A Flexible And Constantly Changing Work Environment
Whatever Place Sounds Nice Because You Work Remotely
What Is Your Level Of Understanding In Mathematics
Can Barely Remember High-School Algebra
Proficient In College Undergrad Level Math
Deep Understanding Of Complex Mathematical Principles
What Is Your Learning Preference?


@()(implicit request: RequestHeader) @main("151 Challenge History") {
Ability to review the past years' leader boards will be here eventually.


OUR HISTORY
FROM 1950 to 2010
THE BEGINNING - 1950
Initially conceived as the Love Festival, the founder was then dumped by his girlfriend. Grown nihilistic with his hatred for romance, the founder changed the name to No Love Festival. In other words, the founder was a loser. He found new love soon after the first break up, however he forgot to change the name back again. He's dead now so we'll have to live with it I guess.
THE END - 1980
Closed down.  Signed out of OneDrive. Disconnected from Google. It's all over. It's the end. You know, it was good while it lasted. Been a great 30 years so far. Only a few cases of mismanagement and a few lawsuit on false advertising but it's the 1980s, who cares. People are too concerned over taking drugs to actually follow on anything.
THE REVIVAL - 2010
Basically Easter for No Love Festival. We rise again, from the ashes. Like a phoenix with its red flame of rebirth. The new festival is a little bit culty, but hey who cares when you can jam to music again on the Desktop stage! Hell yeah! Oh yeah to gain access to the festival a blood of a pheasant as well as your firstborn is required as payment. Dunno why the new owner is weird.


---
layout: default
title: Ivan Vanderbyl
---
Blog Posts
{% for post in site.posts %}
- {{ post.date | date_to_string }} » {{ post.title }}
{% endfor %}
Open Sourcery
- CrashLog Ruby client The official Ruby client for CrashLog exception aggregation service.
- Cloudist: A simple, highly scalable job queue for Ruby applications.
- Pure CSS Progress Bar: A beautifully designed progress bar Demo
- Capushka: Capistrano + Babushka = awesome remote sys admin.


--- layout: archive title: Zulip Chat Archive permalink: /stream/113489-new-members/topic/not(p.3C-.3Enot.20p).html ---
Is there a way in which we can prove not(p<->not p) without using classical?
yes
Ha ha this question should be in the FAQ, as we used to say in the heyday of USENET
@Manikhanta Teja this comes up every few months. It's an exercise in Theorem Proving In Lean. Searching for a solution in this forum might work. It's a great exercise :-)
I couldnt find it. But i tried doing it.
variable p : Prop example : ¬(p <-> ¬p) := assume h1 : (p <-> ¬p), show false, from (assume h2 : p, have h3 : not p, from iff.elim_left h1 h2, have h4 : p, from iff.elim_right h1 h3, show false, from h3 h4 )
I get this error
type mismatch at application (λ (this : false), this) (λ (h2 : p), have h3 : ¬p, from iff.elim_left h1 h2, have h4 : p, from iff.elim_right h1 h3, show false, from h3 h4) term λ (h2 : p), have h3 : ¬p, from iff.elim_left h1 h2, have h4 : p, from iff.elim_right h1 h3, show false, from h3 h4 has type p → false but is expected to have type false
but if I do this, it works.
variable p : Prop variable h2 : p example : ¬(p <-> ¬p) := assume h1 : (p <-> ¬p), show false, from have h3 : not p, from iff.elim_left h1 h2, have h4 : p, from iff.elim_right h1 h3, show false, from h3 h4
How do i do this without using another variable h2
i got it. But i didnt get it using the above solution
putting a variable h2 : p
like that is basically assuming that p
is true
you actually proved p -> ¬(p <-> ¬p)
Here's a hint: not p
means p -> false
. Is there another way to prove h3
?
I thought for sure there was a worked solution somewhere in the chat history. Anyway, here's something ugly I threw together:
example : ∀ P : Prop, ¬(P ↔ ¬P) := λ P h, let p : P := (iff.mpr h $ λ h₁, iff.mp h h₁ h₁) in iff.mp h p p
I thought for sure there was a worked solution somewhere in the chat history.
For sure there is, but I guess it might be hard to search for it.
@[tidy] meta def apply_assumption' := `[apply_assumption] lemma help_me (P : Prop) : ¬(P ↔ ¬ P) := by tidy? /- `tidy` says -/ intros a, cases a, apply_assumption', work_on_goal 0 { apply_assumption', intros a, solve_by_elim }, apply_assumption', intros a, solve_by_elim #print help_me theorem help_me : ∀ (P : Prop), ¬(P ↔ ¬P) := λ (P : Prop), id (λ (a : P ↔ ¬P), iff.dcases_on a (λ (a_mp : P → ¬P) (a_mpr : ¬P → P), a_mp (a_mpr (id (λ (a : P), a_mp a a))) (a_mpr (id (λ (a : P), a_mp a a)))))
I really need to finish back
, so it can be installed as a standard part of tidy
, so you don't need that pesky first line. :-)
Of course, library_search
promptly says: λ (a : Prop), (iff_not_self a).mp
. :-)
I got it. Thanks ;)
One thing that tidy
could optimise is recognising that it is proving the same goal twice. I've started work on a dedup-goals
tactic... but I got weird buggy behaviour. See the merge-goals
branch.
Let me just show you Johan's proof of not(p iff not p) in tactic mode
lemma help_me (P : Prop) : ¬(P ↔ ¬ P) := begin intro h, cases h with h1 h2, -- <- put your cursor here and look at the tactic state -- the key lemma have hnp : ¬ P, -- two goals now, the one we had and the new one we just set ourselves { -- back down to one goal, we'll leave the other one until after we finished the {} intro hP, -- <- put your cursor here and see what we have, and what we want have hnP : ¬ P, sorry, sorry }, sorry end
I'm in the middle of writing a tactic mode proof of the question which started this thread.
Assuming you're using VS Code, cut and paste that code into VS Code and put your cursor at the points I suggest, and then move it up and down with the up/down arrow keys. Crucially, make sure you have the right "lean messages" window open as well.-- get it with Ctrl-Shift-Enter
If you are a beginner then I think that the way tactic mode holds your hand is really helpful.
If you can get things set up so they look like the above, and you start moving your cursor up and down, you will see the tactic state and the goal changing on the right, and this set-up greatly clarifies, for me at least, exactly what you can assume and what you are supposed to be proving at any point.
To be fair, one should say the term mode analogue of Kevin's template is:
lemma help_me (P : Prop) : ¬(P ↔ ¬ P) := assume ⟨h₁, h₂⟩, have hnp : ¬ P, from assume hP, have hnP : ¬ P, from _, _, _
putting the cursor on the underline also tells you what is the state and what Lean wants. But I still agree with Kevin that it's much easier in tactic mode
Yeah, Patrick is exactly right, but this very important trick with _
is not as far as I remember, stressed in TPIL
It was extremely helpful for me when I started to learn term mode properly
but with tactic mode the entire tactic state and goal are there, the moment you have understood the difference between the two windows both unfortunately called "Lean Messages", which I just used to open randomly
One is ctrl-shift-enter, one is ctrl-alt-shift-enter, they both look indistinguishable, and one is helpful in tactic mode and the other isn't.
lemma help_me (P : Prop) : ¬(P ↔ ¬ P) := begin intro h, cases h with h1 h2, -- <- put your cursor here and look at the tactic state -- the key lemma have hnP : ¬ P, -- two goals now, the one we had and the new one we just set ourselves { -- back down to one goal, we'll leave the other one until after we finished the {} intro hP, -- <- put your cursor here and see what we have, and what we want have hnP : ¬ P, -- after each "have" open some {}s to keep the number of goals down to 1 { exact h1 hP }, exact hnP hP, }, have hP : P, { exact h2 hnP, }, exact hnP hP end
I'll start with simple proofs. This looks a lot better. Thanks @Kevin Buzzard
http://wwwf.imperial.ac.uk/~buzzard/xena/html/source/M1F_introduction/prop_exercises.html
This is some very shoddy notes
It's what I tell my students to look at. I will rewrite them properly this summer, but it pushes tactic mode from the start.
Just a small note on those notes: you might want to use "introduce" where-ever you use "construct", mostly because if you're mashing ctrl-t for lemma search, introduction rules are generally marked with intro (e.g. iff.intro
), same with elimination (iff.elim
)
Thanks!
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


Louisville Archbishop says surgery for cancer was successful
LOUISVILLE, Ky. (AP) - The Archdiocese of Louisville, Kentucky says the Catholic archbishop is doing well after a seven-hour surgery for his ongoing cancer treatment.
News outlets citing The Record report 73-year-old Archbishop Joseph Kurtz announced Tuesday that the surgery was successful. The Record is a paper published by the Archdiocese of Louisville.
Kurtz says he is up, walking and hoping for a full recovery.
Kurtz announced in July that he was diagnosed with bladder cancer and would be undergoing treatment in North Carolina. His surgery was performed at the Cancer Institute in Durham, North Carolina.
In October, Kurtz said he completed chemotherapy and would know by Thanksgiving what other long-term treatments or limitations he would face.
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This webpage summarizes our open data samples that can be used by anyone for research purposes under the license. This effort is inspired by ILSVRC and many others making similar efforts to enable and accelerate machine learning techniques R&D. Our research is development of machine learniing algorithms to extract as much physics as possible from data taken by particle 2D/3D imaging detectors. The ultimate goal is to describe the full details of physics in each entry of data. What particles are in there (and where)? What is the hierarhcy among them (which particle produced which)? What is the energy/momentum of particles? Is there a new physics (unseen interactions) in the picture? By making our effort available in public domain, we wish to contribute toward one big goal, the development of A.I. to perform scientific research.
If you wish to contributed, please contact us!
Our sample consists of voxelized 3D data and projected 2D images of charged particles' trajectories (detected energy deposition patterns) in particle detectors stored in larcv file format. You can find a set of tutorials on how to install larcv , browsing file contents , and an example of how to interface for training and inference using tensorflow . larcv provides data interfaces in both C++ and python (numpy array). Any machine learning software with either of these interfaces can be easily adopted.
At the moment, only liquid argon time projection chamber (LArTPC) simulated data set is available. The publication that details the data set is in preparation. Below we organize a list of available data set by a detector type and three popular machine learning application criterias in computer vision: 0) image classification, 1) object detection, and 2) pixel segmentaions. In actuality our sample contains highly detailed simulation information to allow development of wide variety of analysis applications beyond these examples. If you find a difficulty accessing, understanding, or using any part of data, please contact us so that we can improve for everyone.
Tag: TutorialClassification
| File URL | Detector | Task | Brief description |
| practice_train_5k.root practice_test_5k.root | LArTPC | 2D image classification | Image classification train data set consists of five particle types (electron, gamma ray, muon, charged pion, and proton), prepared for tutorial purpose. 5,000 images separately for train and test set. In each set you find one particle per image. The fraction of each particle image in the whole set is same (1,000 images per particle type). Images are made by projecting simulated 3D particle energy deposition profiles on 2D planes (xy, yz, zx projections in cartesian coordinate). More details can be found here. |
Tag: TutorialSegmentation
| File URL | Detector | Task | Brief description |
| practice_train_2k.root practice_test_2k.root | LArTPC | 2D image segmentation / object detection | Semantic segmentation train data set include 2D images each containing a varying multiplicity of particles from five possible types (electron, gamma ray, muon, charged pion, and proton). The "segment" image contains 3 class of semantics: background, EM-shower particles, and track particles (i.e. not EM-shower). In each image all primary particles are generated from one point, called event vertex, which position is randomized across events. There may be secondary particles produced at by primaries. These files are prepared for tutorial purpose containing 2,000 images separately for train and test set. Images are made by projecting simulated 3D particle energy deposition profiles on 2D planes (xy, yz, zx projections in cartesian coordinate). More details can be found here. |
Tag: ChallengeClassification
| File URL | Detector | Task | Brief description |
| train_50k.root test_40k.root challenge_40k.root | LArTPC | 2D image classification | Image classification train data set consists of five particle types (electron, gamma ray, muon, charged pion, and proton). 50,000 and 40,000 images separately for train and test set respectively. In each set you find one particle per image. The fraction of each particle image in the whole set is same (10,000 images per particle type in train set, 8,000 per particle in test set). Images are made by projecting simulated 3D particle energy deposition profiles on 2D planes (xy, yz, zx projections in cartesian coordinate). Challenge set contains 40,000 images without label information. All files contain statistically independnet samples. More details can be found here. |
Tag: ChallengeSegmentation
| File URL | Detector | Task | Brief description |
| train_15k.root test_10k.root challenge_10k.root | LArTPC | 2D image segmentation / object detection | Semantic segmentation train data set include 2D images each containing a varying multiplicity of particles from five possible types (electron, gamma ray, muon, charged pion, and proton). The "segment" image contains 3 class of semantics: background, EM-shower particles, and track particles (i.e. not EM-shower). In each image all primary particles are generated from one point, called event vertex, which position is randomized across events. There may be secondary particles produced at by primaries. 15,000 and 10,000 images for train and test set respectively. Challenge set contains 10,000 images without label information. All files contain statistically independnet samples. Images are made by projecting simulated 3D particle energy deposition profiles on 2D planes (xy, yz, zx projections in cartesian coordinate). More details can be found here. |
Would you share your awesome network's performance on challenge data set? We would like to organize an informal competition for those who wish to try this on subset of open data with challenge samples. Please contact us to share your results. We expect the following format for different types of challenge.
We are a group of experimental particle physicists and interested in applying machine learning techniques to physics data reconstruction and analysis. Our main page details a bit more about our group effort. This particular effort of sharing public data set is originated from the LArTPC experiment community where many physicists are interested in the techniques but lack of technical expertise to get work started. We hope this effort helps everyone in LArTPC community to take the 1st step of learning and applying machine learning techniques for his and her analysis. "Accelerating your research will benefit us all (the community)" is the idea behind this open-data effort.


Q: What is a JavaScript Object?
A: An object is a collection of properties. You can think of it as a way to contain data sets in a single variable. It's similar to a Ruby hash.
Q: How do you create a new object?
A: If you want to create a new JavaScript object, you have a few options. You can create a single object using literal notion, displaying the properties either horizonatally or vertically.
You can also create a single object by using keyword new.
Or you can define an object constructor, and then create objects of the constructed type. This is useful for creating multiple objects with the same properties.
Q: What are the elements of an object?
A: Objects are composed of properties and their values. Properties and values are stored within the object as key-value pairs, with the property as the key and the value as the value. Below, president and vicePresident are properties of the object government. "Barack Obama" is the value of the president property, and the Joe Biden is the value of the vicePresident.
Q: How to you retrieve properties from an object?
A: You can retrieve a value from an object by calling on the key and using the this method. You can plug values from our presidents object into a sentence.
It will return the following


Logged as Joenele Young Logout
| Task | Assigned to | Edit | Delete |
|---|---|---|---|
| Slim down to 10 kg | Buzz McCallister | edit | delete_forever |
| Order 20 bottles of pepsi | Fuller McCallister | edit | delete_forever |
| Repair the door lock | Harry Lime | edit | delete_forever |
| Marv Merchants | edit | delete_forever | |
| Study for Computer Science test | Joenele Young | edit | delete_forever |


AnimationStyle
public enum AnimationStyle
A set of animation styles.
-
Slide in and out of view from the top of the screen.
Declaration
Swift
case slide
-
Fade in and out.
Declaration
Swift
case fade


| [1] | Weilei Zeng and Leonid P Pryadko. Higher-dimensional quantum hypergraph-product codes with finite rates. Physical Review Letters, 122(23):230501, 2019. [ bib | DOI ] |
| [2] | W. Zeng, A. Ashikhmin, M. Woolls, and L. P. Pryadko. Quantum convolutional data-syndrome codes. In 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), pages 1-5, July 2019. [ bib | DOI ] |
This file was generated by bibtex2html 1.96.


|
|
def | __init__ (self) |
| |
| def | add (self, task, priority=0) |
| | Adds a new task to the priority queue, or if that task already exists, updates that tasks priority. More...
|
| |
| def | update_by_attribute (self, task_attribute, attribute_value, new_priority=0) |
| | Updates all tasks with a given task_attribute equal to an attribute_value to have a new priority. More...
|
| |
| def | remove (self, task) |
| | Marks an existing task as REMOVED in the heap. More...
|
| |
| def | pop (self) |
| | Remove and return the lowest priority task and its priority. More...
|
| |
| def | peek (self) |
| | Returns the lowest priority task in the queue and its priority without removing. More...
|
| |
| def | is_empty (self) |
| | Returns whether the queue is empty. More...
|
| |
| def | clear (self) |
| | Clears out all values from the priority queue. More...
|
| |
|
|
string | REMOVED = '<removed-task>' |
| |
◆ add()
| def Build.Simulation_Operation.queue.PriorityQueue.add |
( |
|
self, |
|
|
|
task, |
|
|
|
priority = 0 |
|
) |
| |
Adds a new task to the priority queue, or if that task already exists, updates that tasks priority.
- Parameters
-
| task | the task to add to the priority queue |
| priority | the priority to assign to this task. Default to 0 |
◆ clear()
| def Build.Simulation_Operation.queue.PriorityQueue.clear |
( |
|
self | ) |
|
Clears out all values from the priority queue.
clear the priority queue
◆ is_empty()
| def Build.Simulation_Operation.queue.PriorityQueue.is_empty |
( |
|
self | ) |
|
Returns whether the queue is empty.
◆ peek()
| def Build.Simulation_Operation.queue.PriorityQueue.peek |
( |
|
self | ) |
|
Returns the lowest priority task in the queue and its priority without removing.
Raise KeyError if queue is empty.
- Returns
- tuple of task with lowest priority and that priority
◆ pop()
| def Build.Simulation_Operation.queue.PriorityQueue.pop |
( |
|
self | ) |
|
Remove and return the lowest priority task and its priority.
Raise KeyError if queue is empty.
- Returns
- tuple of task with lowest priority and that priority
◆ remove()
| def Build.Simulation_Operation.queue.PriorityQueue.remove |
( |
|
self, |
|
|
|
task |
|
) |
| |
Marks an existing task as REMOVED in the heap.
When this value is encountered later in a pop or peek, it will be removed for good from the heap. Raises a KeyError if that task is not found.
◆ update_by_attribute()
| def Build.Simulation_Operation.queue.PriorityQueue.update_by_attribute |
( |
|
self, |
|
|
|
task_attribute, |
|
|
|
attribute_value, |
|
|
|
new_priority = 0 |
|
) |
| |
Updates all tasks with a given task_attribute equal to an attribute_value to have a new priority.
- Parameters
-
| task_attribute | an attribute of the task to identify it |
| attribute_value | the value of that attribute that we want to isolate |
| new_priority | the new priority value to assign to the tasks that have the desired attribute value |
The documentation for this class was generated from the following file:
- Build/Simulation_Operation/queue.py


Demo
Dna Send Demo
Sender address
Get nonce
You have to use this to get your own - up to date - nonce
Nonce
Epoch
Get Epoch
This has to be current epoch
Amount (DNA)
Maxfee (DNA)
Recipient
Data (Can be empty or 0x, means the same)
Get transaction
This step can be fully offline.
RawDnaUrl from an online source plus sender prikvey (offline) are then signed offline, and produce the SigDnaUrl for the next step.
RawDnaUrl
Sender privkey
Sign transaction
SigDnaUrl
Send transaction


Just noticed there's a shoes TLD. Scheming... @PragTob @wasnotrice
1/16/2015, 11:30:36 AM
Favs: 1
Retweets: 0
link--- layout: tweet ---
Just noticed there's a shoes TLD. Scheming... @PragTob @wasnotrice
1/16/2015, 11:30:36 AM
Favs: 1
Retweets: 0
link


{% extends 'base.html' %} {% block content %} Recover via SMS {% csrf_token %} Username Phone Number Need an account? sign up here! Rememberd your password? {% endblock %}


 Purr jump eat the grass rip the couch scratched sunbathe, shed everywhere rip the couch sleep in the sink fluffy fur catnip scratched.
Purr jump eat the grass rip the couch scratched sunbathe, shed everywhere rip the couch sleep in the sink fluffy fur catnip scratched.  Purr jump eat the grass rip the couch scratched sunbathe, shed everywhere rip the couch sleep in the sink fluffy fur catnip scratched.
Things cats love:
- Cheese
- Milk
- Yarn
Top 3 things cats hate:
- Cats
- Sylvester
- Water


Hi {{ first_name }}!
I've created an account for you here!
Here are your account details, as well as a temporarily generated password:
Username: {{ username }}
Password: {{ password }}
You can change your password upon logging in, which you should do so promptly.
Once you've logged in, feel free to explore our website. The candidate portal is accessed by clicking "Welcome, {{ first_name }}" in the top right corner, then clicking "Candidate Portal". This is where you can view your progress for your candidate requirements!
Information about our events can be found in three different places:
If you have any questions, please feel free to reach out to us at<EMAIL_ADDRESS>Have a nice day!
Compserv


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no content
no content
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no content
The title of this link is hardcoded on this html page, but the link target url is fetched from google sheet, as content type link
or href
- cmsheet.js demo -
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The title of this link is hardcoded on this html page, but the link target url is fetched from google sheet, as content type link
or href


Launching his
first Annual Report
, Sir Michael Wilshaw said that leadership in schools, in colleges and in local authorities was key to driving up standards and ensuring all young people get the good education they deserve.
Today’s (27 November 2012) report is underpinned by the findings of nearly 25,000 inspections carried out during 2011/12 of early years and childcare, schools, colleges and adult learning and skills – providing a unique evidence base for the key conclusions.
The main conclusions in this year’s Annual Report are:
-
schools in England are getting better – although there is still a long way to go before the nation catches up with the best in the world
-
there are wide variations in the performance of schools across different local authority areas, leading to serious inequities for children in some parts of the country
-
Ofsted has identified major concerns with the quality of provision in the post-16 Learning and Skills sector, especially in colleges, which are not adequately preparing young people for the world of work
Alongside the Annual Report, Ofsted has today launched a new service called
Data View
, an online tool which allows open access to, and the comparison of, inspection findings about the performance of providers at national, regional, local authority and constituency level over time.
This year’s Annual Report comprises a main commentary by HM Chief Inspector, Sir Michael Wilshaw, supported by 3 remit reports giving more details on the early years, schools and learning and skills sectors. The social care annual report will be published in summer 2013 to tie into the inspection cycle in that sector.
The key findings underpinning the headline conclusions for schools are:
-
the proportion of schools rated as good or better is going up year on year. Three years ago 66% of all schools were judged to be good or better; that figure is now 70%. This means there are now nearly half a million more pupils in good or better schools
-
there are nearly 1,000 more outstanding schools than there were 3 years ago; there are nearly 1,000 fewer inadequate and satisfactory schools than 3 years ago
-
there are now 2,500 good and outstanding schools serving some of England’s most deprived communities
Sir Michael said that the upward trend in the performance of the schools system could be put down to better leadership and a slow improvement in the quality of teaching.
He said:
Heads are now in the driving seat in a way I could only have dreamed of 20 years ago. They now have more autonomy and more control over their resources than ever before.
A growing number of heads are also committed to improving schools beyond their own through cluster and federation arrangements.
Academies are also making a difference. Most of the sponsored academies that we have inspected are better than the poor quality schools they replaced.
Examples of the inequality of access to good or outstanding schools across different local authorities highlighted in the Annual Report include:
-
a child living in Derby or Doncaster has only half the chance of attending a good or better primary or secondary school compared with a child living in Wigan or Darlington
-
a parent in Coventry has only a 42% chance of sending their child to a good or better maintained primary school in the local authority area compared with a 92% chance for a parent living in the London Borough of Camden
Sir Michael said:
The inequities for local children are stark. This is completely unacceptable.
That’s why I intend, from January, to use Ofsted’s new regional structure to inquire further into areas that are performing badly. We need to find out what is happening, and inspect where necessary. We will also work with local areas to support them and help them link up with best practice.
The key findings underpinning the headline conclusions for learning and skills are:
-
while the overall effectiveness of all Learning and Skills providers has improved very slightly over the past 3 years, the proportion of colleges judged inadequate or satisfactory is the highest it has been in that period
-
35% of colleges are now less than good compared to 30% at the end of 2010
-
Ofsted this year judged 13 colleges (serving over 82,000 leaners) to be inadequate compared with four colleges last year
-
for the second year running, Ofsted did not judge a single college to be outstanding for teaching and learning
Sir Michael said:
The further education sector is a real concern for me at a time when the nation needs skilled and qualified people entering the workforce more than ever before. It is vital that the sector responds with high quality provision designed to tackle the urgent issue of youth unemployment.
The government now needs to shine as much of a spotlight on this sector as it has done on schools. Schools have seen their increased freedoms balanced by a strong accountability system and action on failure. The same should be true for colleges.
The Annual Report also covers the provision of early years education. Ofsted’s National Director for Early Years, Susan Gregory, will be delivering a major lecture next week on these findings and will set out views on improving the sector.
The main findings in the early years report include:
-
74% of provision is good or better compared with 65% three years ago
-
more than a third (34%) of children are not working securely in communication, language and literacy by the end of the Early Years Foundation Stage (below five years old)
-
overall, pre-schools and nurseries are better than child-minders at preparing children for the next stage
-
provision is weakest in areas of highest deprivation, particularly in the case of child-minders
-
the quality of early years provision would benefit from stronger links between strong and weak providers, including good schools and good children’s centres
Notes to editors
-
The
Annual Report 2011/12
is available online.
You can also go to
Data View
.
Today’s Annual Report 2011/12 includes Her Majesty’s Chief Inspector Commentary, Schools report, Learning and skills report and Early years report. The sector report on social care will be published in summer 2013. This is because the inspection year for most social care provision, prescribed by regulations, runs from April to March. At the beginning of this year, Ofsted introduced a number of radical framework changes covering much of social care inspection activity. By publishing at a later date, Ofsted will be able to report on a full year’s inspection outcomes.
-
The Office for Standards in Education, Children’s Services and Skills (Ofsted) regulates and inspects to achieve excellence in the care of children and young people, and in education and skills for learners of all ages. It regulates and inspects childcare and children’s social care, and inspects the Children and Family Court Advisory Support Service (Cafcass), schools, colleges, initial teacher training, work-based learning and skills training, adult and community learning, and education and training in prisons and other secure establishments. It assesses council children’s services, and inspects services for looked after children, safeguarding and child protection.


| Current Position |
|
| since 2015 |
University of Zurich, Chair for International Relations and Political Economy, PhD Candidate |
| Education |
|
| 2017 |
Harvard University, Weatherhead Center for International Afffairs, Visiting Fellow |
| 2013 - 2014 |
London School of Economics, Master of Science, International Political Economy |
| 2009 - 2013 |
Free University Berlin, Bachelor of Arts, Political Science and Economics |
| Professional Experience |
|
| 2015-2016 |
German Society for International Cooperation, External Economic Policy Consultant |
| 2014-2015 |
German Society for International Cooperation, Intern |
| 2014-2015 |
Bretton Woods Project London, Research Volunteer |
| 2010-2013 |
German Bundestag, Personal MP Assistant |


Writing functions in R
library(tidyverse)
Today we will be learning to write our own functions in R. Consider the discrete Logistic growth function:
\[x_{t+1} = x_t + r x_t \left(1 - \frac{x_t}{K} \right)\]
Here we exress this function in R:
growth <- function(xt, r, K){
r * xt * (1 - xt / K)
}
We can simulate the function as follows:
simulate <- function(max_time, x0, r, K){
x <- numeric(max_time)
x[1] <- x0
for (t in 1:(max_time - 1)) {
x[t + 1] <- x[t] + growth(x[t], r = r, K)
}
pop_data <- data_frame(time = 1:max_time, pop_size = x)
pop_data
}
We can perform a few simulations with different values of r
:
simulate(50, 50, 1, 100) %>%
ggplot(aes(time, pop_size)) + geom_line()
simulate(50, 50, 2.2, 100) %>%
ggplot(aes(time, pop_size)) + geom_line()
simulate(50, 50, 2.7, 100) %>%
ggplot(aes(time, pop_size)) + geom_line()
Wow, things get pretty crazy as r
gets large. Let’s try and get a more detailed picture of the long-term behavior of the system as a function of the r
value:
## Try all these values of r
r_range <- seq(1,3, length.out = 400)
## An initial simulation.
df <- simulate(300, 10, r_range[1], 100) %>%
filter(time > 200) %>% # use only the long-term behavior
mutate(r = r_range[1]) # store the value of r that we used.
# Okay, now repeat this for all values of r:
for (r in r_range) {
df1 <- simulate(300, 10, r, 100) %>%
filter(time > 200) %>%
mutate(r = r)
## technical note: this could be slow for really big data, technically we should "initialize" this first.
## Instead, we'll later learn how to automate that with functional programming.
df <- bind_rows(df, df1)
}
Let’s plot the results showing the equilibrium population size(s) as a function of the value of r
we chose:
df %>%
ggplot(aes(r, pop_size)) +
geom_point(size = 0.1)


This page lists the providers with bounds. Click on a provider name to view a map with the layer and a rectangle depicting the bounds for this layer.
Sometimes you need to zoom in because the layer doesn't provide lower zoom levels.


Please enter a Chinese Number in the search field. We accept Traditional, Simplified, decimals, negative numbers and factors up to 10^12. No fractions or measure words, please.
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ZForms is an attempt to reduce the effort of laying out multiple related controls, hooking up event listeners, and managing them. It eliminates redundant code throughout the application by removing the need for the application author to write this same code over and over again, resulting in more productivity and less errors.
The goals of ZForms include:
The DWT toolkit already contains a form-based infrastructure called XForms, roughly based on the W3C XForms specification. The Zmail Collaboration Suite's administration console is written largely using this framework.
The client team for the Zimbra Collaboration Suite refused to adopt the XForms implementation for a variety of reasons. Some of the reasons for this decision were:
For comparison, the base XForms implementation is around 280K, comprised of multiple source files and many additional classes. Because of the design of XForms, if an author wanted to use any control in the form, a special wrapper class had to be written to map between XForms and the native DWT controls. Meanwhile, ZForms is a single widget, DwtForm, that is under 25K.
XForms also has a tightly coupled layout and modeling description. Authors cannot create their own layout and must adapt their interface to a strict table-based grid style layout. In addition, legacy or custom data objects can not be used transparently with XForms.
With the existence of the XForms implementation the question arises: why ZForms? Because of the complexity of XForms and the annoyance of coding everything by hand, there is a need for a solution in between XForms and pure code. ZForms' layered approach fills this need.
Authors can use ZForms as a simple way of constructing and populating a complex control but still attach all of the event listeners and handle the data-binding logic by hand. Or they can populate the control and set the visibility or whether controls are enabled directly within the ZForms form description. Or they can populate the control, manage visibility of components, and bind all of the controls to any arbitrary JavaScript object. The choice is theirs.
The ZForms framework (if you can call it that) takes a layered approach to solving this common problem. The author can take advantage of as little or as much of the ZForms functionality as they want. As such, the documentation for ZForms is separated into a series of tutorials, ordered from simple to more complex uses of ZForms:
The following links are provided as a good reference to ZForms and its functionality:


So you want to make your Docassemble interview available to everyone...
Docassemble uses Packages to create and save public-facing interviews, then make them available at a URL. This tutorial teaches you how to create and save a package, and use the dispatch feature for generating user-friendly URL's.
You can read the documentation for the dispatch feature here


{% extends 'weblab-master.html' %} {% block body %} {% from "_widgets.html" import timeline, timetable, sna, calendar_day, timeline_bars %}
| Property | Value |
|---|---|
| Users: | {{ statistics['users'] }} |
| Total uses | {{ statistics['uses'] }} uses ({{ '%.2f' % (statistics['uses'] / (statistics['users'] or 1)) }} uses per user) |
| Total time | {{ '%.2f' % statistics['total_time'] }} seconds ({% if statistics['total_time_human'].days > 1 %}over {{ statistics['total_time_human'].days }} days; {% endif %}{{ '%.2f' % (statistics['total_time'] / (statistics['users'] or 1))}} seconds per user) |
| Total uses | {{ statistics['uses'] }} uses |
| Total time | {{ '%.2f' % statistics['total_time'] }} seconds |
| Student | Login | Uses | Time (seconds) | Average time (seconds) | ||
|---|---|---|---|---|---|---|
| {{ full_name }} | {{ login }} | {% else %}{{ full_name }} | {{ login }} | {% endif %}{{ uses }} | {{ results['users_time'][login] }} | {{ '%.2f' % (results['users_time'][login] / ( uses or 1)) }} |
The following data is based on students sending the same exact file which has not been previously sent by an instructor or administrator. Each arrow means that one user is the original creator of the file and that the pointed user has submitted the same file.
{{ sna() }} {% if results['copies.time.diff'] %}Time elapsed since the original submission to the time it was copied. Horizontal: potential time elapsed. Vertical: times a file copied was submitted.
{{ timeline_bars('copies_distribution') }} {% endif %} {% if results['copies.timelines'] %}


A keyboard designed for Busa, Bokobaru and Boko languages in Africa. The Busa keyboard is designed to work with the Charis SIL font. However, you can use this keyboard with any extended Latin script Unicode font.


| OHLC.Transformations {quantmod} | R Documentation |
Extract (transformed) data from a suitable OHLC object.
Column names must contain the
complete description - either “Open”, “High”,
“Low”, “Close”,
“Volume”, or “Adjusted” - though may
also contain additional characters. This is the default for objects
returned from most getSymbols
calls.
In the case of functions consisting of combined
Op, Hi, Lo, Cl (e.g. ClCl(x)
) the one period
transformation will be applied.
For example, to return the Open to Close of a
object it is
possible to call OpCl(x)
. If multiple periods
are desired a call to the function Delt
is
necessary.
seriesLo
and seriesHi
will return the
low and high, respectively, of a given series.
seriesAccel
, seriesDecel
, seriesIncr
,
and seriesDecr
, return a vector of logicals
indicating if the series is accellerating, decellerating,
increasing, or decreasing. This is managed by diff
,
which provides NA fill and suitable re-indexing. These
are here to make trade rules easier to read.
HLC
extracts the High, Low, and Close columns.
OHLC
extracts the Open, High, Low, and Close columns.
These functions are merely to speed the model specification process. All columns may also be extracted through standard R methods.
Assignment will not work at present.
getPrice
will attempt to extract price column(s) from a time series,
using sensible defaults. Additionally, the user may provide by symbol and price
preference.
Op(x) Hi(x) Lo(x) Cl(x) Vo(x) Ad(x) seriesHi(x) seriesLo(x) seriesIncr(x, thresh=0, diff.=1L) seriesDecr(x, thresh=0, diff.=1L) OpCl(x) ClCl(x) HiCl(x) LoCl(x) LoHi(x) OpHi(x) OpLo(x) OpOp(x) HLC(x) OHLC(x) OHLCV(x) getPrice(x, symbol=NULL, prefer=NULL, ...)
x |
A data object with columns containing data to be extracted. |
thresh |
noise threshold (seriesIncr/seriesDecr) |
diff. |
differencing (seriesIncr/seriesDecr) |
symbol |
text string containing the symbol to extract |
prefer |
price type preference (see Details) |
... |
not currently used |
Internally, the code uses grep to locate the appropriate columns. Therefore it is necessary to use inputs with column names matching the requirements in the description section, though the exact naming convention is not as important.
prefer
can be used with getPrice
to extract many commonly used
financial time series prices descriptions (e.g. open, high, low, close, bid,
ask/offer, midpoint, trade, price). If the value of prefer
does not
match one of the currently supported types, it will be matched against the
object column names using grep
.
Returns an object of the same class as the original
series, with the appropriately column names
if applicable and/or possible. The only exceptions are for quantmod.OHLC
objects which will be returned as zoo
objects, and calls to
seriesLo
and seriesHi
which may return a numeric
value instead of the original object type.
Jeffrey A. Ryan
## Not run: getSymbols('IBM',src='yahoo') Ad(IBM) Cl(IBM) ClCl(IBM) seriesHi(IBM) seriesHi(Lo(IBM)) removeSymbols('IBM') ## End(Not run)


Drag the boxes below to somewhere in your OS (Finder/Explorer, Desktop, etc.) to copy an example markdown file.


rotten > Library > Sex > Virginity
Virginity
"Virginity can be lost by a thought."
Nuns, priests, eunuchs, vestal virgins.
The importance of virgin brides in certain cultures.
Abstinence programs.
Virgin Mary, unicorns, other mythological creatures.
The Hymen.
Madonna is like a virgin, but not really.
lifelong virgins
non-virgins
- Lasse Braun, 8, with a 9-year-old Italian girl.
- Lord Byron, 9, with the family nurse
- Billie Holiday, 10, raped by a middle-aged neighbor named Mr. Dick
- Jerry Lewis, 11, with a stripper procured by his father
- Milton Berle, 12, with a Broadway dancer in her dressing room
- Alphonse Daudet, 12
- Jimi Hendrix, 12
- John Holmes, 12, with a 36-year-old woman
- Anthony Kiedis, 12, with 18-year-old redhead Kimberley Smith procured by his father
- Nelly, 12, with a 15-year-old girl
- Gillian Anderson, 13, with "a punk guy who has since become a Neo-Nazi.
- Drew Barrymore, 13
- Danny Bonaduce, 13, on the set of The Partridge Family, with a David Cassidy fan
- Annabel Chong, pornstar, 13, with a 28-year-old man
- Tommy Lee, 13, with the next-door neighbor
- Dave Navarro, 13
- Asia Carrera, 14, with a classmate in a parking lot
- David Duchovny, 14, with a 13-year-old girl
- Jerry Hall, 14, with a rodeo bullrider who also deflowered her girlfriend
- James Joyce, 14, with a Dublin prostitute
- Bret Michaels, 14
- Evita Peron, 14, with tango singer José Armani
- The Rock, 14
- Claude Vorilhon (Rael), 14
- John Barrymore, 15, deflowered by stepmother
- Ol Dirty Bastard, 15
- Aleister Crowley, 15, with an actress in Torquay
- Veronica Hart, 15, with her 16-year-old boyfriend
- Dustin Hoffman, 15, in a darkroom with a girl who thought she was with Dustin's older brother
- Jack London, 15, with a girl named Mamie
- Traci Lords, 15, with her high school boyfriend
- Friedrich Nietzsche, 15, with a 30-year-old countess
- Sunset Thomas, 15, raped by her best friend
- Christy Canyon, 16
- Gabriele D'Annunzio, 16, with a Florentine prostitute
- Vanessa del Rio, 16, in a porno theater with her 18-year-old boyfriend
- Samantha Fox, 16
- Al Goldstein, 16, with a prostitute procured by his uncle
- Jean Harlow, 16, virgin until marriage
- King Henry VIII, 16, with peasant girls
- King Louis XVI, 16, with a court seamstress
- Marilyn Manson, 16
- W. Somerset Maugham, 16, with 26-year-old Ellingam Brooks
- Mussolini, 16, with a prostitute
- Steve-O, 16, with a 16-year-old girl in London
- Dr. Drew Pinsky, 16, with his first girlfriend
- Rasputin, 16, seduced by Danilova Kubasova -- wife of a Russian general
- Leo Tolstoi, 16, with a prostitute
- Thomas Wolfe, 16, in a bordello
- Jack Black, 17
- Giovanni Jacopo Casanova, 17, with Nanetta and Marta Savorgnan
- Alexandre Dumas, 17
- Marilu Henner, 17, in a shower
- Ron Jeremy, 17, in an alley in Littleneck, New Jersey with 16-year-old Margie
- John F. Kennedy, 17, in a Harlem bordello
- Ludacris, 17
- Tim Robbins, 17
- Annie Sprinkle, 17, with her boyfriend -- a 27-year-old hippie named Van
- Jon Stewart, 17, in college
- David Cross, 18, with a prostitute near Times Square
- Ashlyn Gere, 18, with her boyfriend
- Nina Hartley, 18
- Shanna Moakler, 18, in her dad's dental office
- Napoleon, 18, with a prostitute
- David Berkowitz, 19, with a Korean prostitute
- Pamela Des Barres, 19, with Nick St. Nicholas from the band Steppenwolf
- Linda Lovelace, 19
- Sarah Silverman, 19
- James Boswell, 20, with London prostitute Sally Forrester
- Victor Hugo, 20, virgin until marriage
- Franz Kafka, 20, with a Czech shopgirl
- Janeane Garofalo, 21, with her college boyfriend
- Eddie Izzard, 21
- Jean-Jacques Rousseau, 21, with 34-year-old Madame de Warens
- Jessica Hahn, 21, claims to have been a virgin when raped by Jim Bakker
- Henri Landru, 22, with 16-year-old cousin Marie Remy
- Bertrand Russell, 22, virgin until marriage
- Honoré de Balzac, 23, with 45-year-old woman
- Catherine II of Russia, 23, with one Saltykov
- André Gide, 23, with a 14-year-old local boy in Tunisia
- D.H. Lawrence, 23, with a pharmacist's wife
- Isadora Duncan, 25, with Hungarian actor Oscar Beregi
- H.G. Wells, 25, with a prostitute
- George S. Kaufman, 28, virgin until marriage
- George Bernard Shaw, 29, on his birthday with 44-year-old widow Jenny Patterson
- Havelock Ellis, 32, virgin until marriage
- Joseph Goebbels, 33
- Mary Wollstonecraft, 33, with American writer Gilbert Imlay in a Paris hotel room
- Mark Twain, 34, virgin until marriage
- Marie Stopes, birth control advocate, 38, virgin until her second marriage
Timeline
| 1934 |
John F. Kennedy, 17, loses his virginity in a Harlem bordello. |
| 1937 |
Jerry Lewis, 11, deflowered by a stripper procured by his father. |
| 1952 |
Al Goldstein's uncle arranges for a prostitute to deflower his 16-year-old nephew. |
| 1956 |
12-year-old John Holmes is deflowered by a 36-year-old woman. |
| 20 Jul 1969 |
Marilu Henner, 17, loses her virginity in a shower. |
| 1970 |
Ron Jeremy goes all the way with a neighborhood girl named Margie. "My first screw took place at age 17 in Littleneck in an alley beside a school." |
| 1980 |
Little Darlings opens in theaters. The movie poster declares: "THE BET IS ON: WHOEVER LOSES HER VIRGINITY FIRST WINS." |
| 4 Nov 1990 |
Steve-O, 16, loses his virginity with a 16-year-old girl in London. |
| 21 May 1991 |
During a very special episode of Beverly Hills 90210, Brenda Walsh loses her virginity to Dylan McKay in a hotel room during the spring dance. |
| 25 Sep 1991 |
Doogie Howser, M.D. loses his virginity on ABC television during prime time. |
| Dec 1997 |
Isilay Saygin, Turkish Minister for Women and Family Affairs, tells the Yeni Yuzyil newspaper: "Girls of 12, 13 are falling pregnant. If girls commit suicide because of the virginity tests, they would have committed suicide anyway. I don't think this is really important. Five or three girls, it doesn't matter." |
| 17 Jul 1998 |
Internet Entertainment Group calls off its upcoming live netcast of two teen virgins having sex. IEG determined that Mike and Diane were pulling a hoax on ourfirsttime.com. |
| Jan 1999 |
Former child star Gary Coleman tells Us magazine that he is still a virgin. |
| 9 Jul 1999 |
American Pie opens in theaters. |
| 18 Oct 2000 |
Rioting breaks out in Arania Neel, India after a bride flunks her virginity test. |
Pornopolis |
Rotten |
Faces of Death |
Famous Nudes
|


Paragraph font retrieved from https://fonts.google.com/specimen/Muli?query=muli
Logo font retrieved from https://fonts.google.com/specimen/Aclonica?query=acloni
Subheader font retrieved from https://fonts.google.com/specimen/Josefin+Sans?query=jose
Wireframes and sitemap created in https://figma.com
Buttons, forms and navbar referenced from https://www.w3schools.com/tags/tag_button.asp
Images retrieved from https://www.cleanpng.com/png-tent-pop-up-canopy-tarpaulin-outdoor-recreation-po-6935589/
https://www.cleanpng.com/png-tent-hiking-campsite-fjllrven-kaariteltta-3512888/
https://www.cleanpng.com/png-beach-handball-hearth-home-beach-ball-101926/
https://www.cleanpng.com/png-shovel-sand-tool-beach-toy-soft-toys-3792417/
Flexbox and CSS grid layout referenced from:
https://css-tricks.com/snippets/css/complete-guide-grid/
https://www.w3schools.com/css/css3_flexbox.asp
https://css-tricks.com/snippets/css/a-guide-to-flexbox/


Blogpost preview – 1%Club
{# wrapper has a fixed width because everything is relative to that. #}
{# Hence the body receives an overflow-x instead of shrinking the wrapper. #}
{% if blogpost.title %}{{ blogpost.title }}{% else %}
{% trans "Blog post preview" %}{% endif %}


Hi, i am a human that loves to create stuff and be a part of versatile type of projects. My
goals are to deliver and show our stuff to other humans. Make it
substantial, advanced and timeless.
I do research all the time and always learn the new ways technology and history
bring to my for creating advanced thingsss. My experience on business, entertainment
and engineering gives me another points of view for better designs and solutions.


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When working with Gremlin, there may be issues that arise. This section hopes to articulate common problems users have an how to resolve them.
The expression g.V[0]
seems like it is returning the first vertex in the graph. However, this statement is in fact creating an iterator/iterable (i.e. a Pipe) that will return the first vertex in the graph when next()
is called on it. Thus, use g.V[0].next()
to return the first vertex in the graph. Better yet, just use g.V.next()
.
In general, when using the Gremlin console, it is not necessary to call next()
as the console will automatically iterate it and ==>
print the objects of the iterator. However, when using Gremlin in, for example, Java or Groovy, be sure to iterate the pipe. Note that the Gremlin methods provide various shorthand mechanisms for this. For example, iterate()
will “while(hasNext())
” and tends to be use consistently.
Many times you will misplace a (
or a {
and your console terminal will be “stuck.” To get out of this situation, just type clear
to reset the parser.
gremlin> if(true) {
gremlin> 1+2
gremlin> {
gremlin> }
gremlin> 1
groovysh_parse: 24: Ambiguous expression could be a parameterless ...
1 error
gremlin> 1
groovysh_parse: 24: Ambiguous expression could be a parameterless ...
1 error
gremlin> clear
gremlin> 1
==>1


See: Description
| Interface | Description |
|---|---|
| AnnotationBuilder |
Builder for annotations of given type.
|
| AnnotationBuilderFactory |
Supports instantiating
AnnotationBuilder . |
| BeanInfo |
Beans are:
managed beans
beans defined by producer methods
beans defined by producer fields
synthetic beans
Managed beans are also known as class-based beans, while beans defined by producer methods
and producer fields are together also known as producer-based beans.
|
| BuildCompatibleExtension |
Build compatible extensions are service providers for this interface, as defined in
ServiceLoader . |
| BuildServices |
Service provider interface for various services needed by
BuildCompatibleExtension implementations. |
| ClassConfig |
Allows adding annotations to and removing annotations from a class.
|
| DeclarationConfig |
Allows adding annotations to and removing annotations from a declaration.
|
| DisposerInfo |
Disposer methods may exist for producer-based beans.
|
| FieldConfig |
Allows adding annotations to and removing annotations from a field.
|
| InjectionPointInfo |
An injection point defined on some bean.
|
| InterceptorInfo |
Interceptors are managed beans annotated
@Interceptor . |
| Messages |
Allows logging and producing errors during build compatible extension
execution.
|
| MetaAnnotations |
Allows registering custom CDI meta-annotations: qualifiers, interceptor bindings,
stereotypes, and scopes.
|
| MethodConfig |
Allows adding annotations to and removing annotations from a method.
|
| ObserverInfo |
Observers are:
observer methods
synthetic observers
Observer methods directly correspond to a method declaration in program source code.
|
| ParameterConfig |
Allows adding annotations to and removing annotations from a method parameter.
|
| Parameters |
A
String -keyed parameter map. |
| ScannedClasses |
Allows adding additional classes to the set of types discovered during type discovery.
|
| ScopeInfo |
A scope of a bean.
|
| StereotypeInfo |
A stereotype.
|
| SyntheticBeanBuilder<T> |
Builder for synthetic beans.
|
| SyntheticBeanCreator<T> |
Creation function for a synthetic bean defined by
SyntheticBeanBuilder . |
| SyntheticBeanDisposer<T> |
Destruction function for a synthetic bean defined by
SyntheticBeanBuilder . |
| SyntheticComponents |
Allows registering synthetic beans and observers.
|
| SyntheticObserver<T> |
The event notification function for a synthetic observer defined by
SyntheticObserverBuilder . |
| SyntheticObserverBuilder<T> |
Builder for synthetic observers.
|
| Types |
Factory for types.
|
| Annotation Type | Description |
|---|---|
| Discovery |
1st phase of build compatible extension execution.
|
| Enhancement |
2nd phase of build compatible extension execution.
|
| Registration |
3rd phase of build compatible extension execution.
|
| SkipIfPortableExtensionPresent |
If a build compatible extension is annotated
@SkipIfPortableExtensionPresent , it is ignored when the CDI container
can execute portable extensions and determines that a portable extension
of given class is present. |
| Synthesis |
4th phase of build compatible extension execution.
|
| Validation |
5th phase of build compatible extension execution.
|
The build compatible extension SPI. See: