At Year Up they offer a variety of opportunities. Project managment is perfect for the outgoing individual living iside you. Eager to lead and be heard. IT HelpDesk that sates your urge to help others. Cyber Security for those of us who are protective. Also offered is Network and System Admin which iis one of the newer tracks. Last but not least the Quality Assurance (QA) which we we be covering here.
Software testing is an investigation conducted to provide stakeholders with information about the quality of the product or service under test. Software testing can also provide an objective, independent view of the software to allow the business to appreciate and understand the risks of software implementation.
In developing products and services, quality assurance is any systematic process of checking to see whether a product or service being developed is meeting specified requirements. Many companies have a separate department devoted to quality assurance. A quality assurance system is said to increase customer confidence and a company's credibility, to improve work processes and efficiency, and to enable a company to better compete with others. Quality assurance was initially introduced in World War II when munitions were inspected and tested for defects after they were made. Today's quality assurance systems emphasize catching defects before they get into the final product.


TITLE DEED
ST. JAMES PLACE
| Rent |
₩14 |
| Rent with color set |
₩28 |
| Rent with 1 |
₩70 |
| Rent with 2 |
₩200 |
| Rent with 3 |
₩550 |
| Rent with 4 |
₩750 |
| Rent with red |
₩950 |
| Houses cost |
₩100 each |
| Hotels cost |
₩100 each |
TITLE DEED
TENNESSEE AVENUE
| Rent |
₩14 |
| Rent with color set |
₩28 |
| Rent with 1 |
₩70 |
| Rent with 2 |
₩200 |
| Rent with 3 |
₩550 |
| Rent with 4 |
₩750 |
| Rent with red |
₩950 |
| Houses cost |
₩100 each |
| Hotels cost |
₩100 each |
TITLE DEED
NEW YORK AVENUE
| Rent |
₩16 |
| Rent with color set |
₩32 |
| Rent with 1 |
₩80 |
| Rent with 2 |
₩220 |
| Rent with 3 |
₩600 |
| Rent with 4 |
₩800 |
| Rent with red |
₩1000 |
| Houses cost |
₩100 each |
| Hotels cost |
₩100 each |
TITLE DEED
ST. JAMES PLACE
| Rent |
₩14 |
| Rent with color set |
₩28 |
| Rent with 1 |
₩70 |
| Rent with 2 |
₩200 |
| Rent with 3 |
₩550 |
| Rent with 4 |
₩750 |
| Rent with red |
₩950 |
| Houses cost |
₩100 each |
| Hotels cost |
₩100 each |
TITLE DEED
TENNESSEE AVENUE
| Rent |
₩14 |
| Rent with color set |
₩28 |
| Rent with 1 |
₩70 |
| Rent with 2 |
₩200 |
| Rent with 3 |
₩550 |
| Rent with 4 |
₩750 |
| Rent with red |
₩950 |
| Houses cost |
₩100 each |
| Hotels cost |
₩100 each |
TITLE DEED
NEW YORK AVENUE
| Rent |
₩16 |
| Rent with color set |
₩32 |
| Rent with 1 |
₩80 |
| Rent with 2 |
₩220 |
| Rent with 3 |
₩600 |
| Rent with 4 |
₩800 |
| Rent with red |
₩1000 |
| Houses cost |
₩100 each |
| Hotels cost |
₩100 each |


Despite its role in shaping life as we know it, many aspects of photosynthesis remain a mystery. The researchers used X-ray lasers to capture the most complete and highest-resolution picture to date of Photosystem II, a key protein complex in plants, algae and cyanobacteria responsible for splitting water and producing the oxygen we breathe.
Although they still have a way to go, the researchers said that these results provide a path forward, both in unveiling the mysteries of how photosynthesis works and in offering a blueprint for artificial sources of renewable energy.
The following model is a 3D view of Photosystem II (a key protein complex found in plants, algae, etc.) at the atomic level at the moment of illumination. To leave this help window, click x in upper right hand corner.
Hydrogen Bonds (blue), Halogen Bonds (turquoise), Hydrophobic Contacts (grey), Pi Interactions (orange, green), Metal Interactions (purple)
For more information on this research please visit Hello Solar


Aim: Supports the most frequently used methods to combine forecasts. Among others: Simple average, Ordinary Least Squares, Least Absolute Deviation, Constrained Least Squares, Variance-based, Best Individual model, Complete subset regressions and Information-theoretic (information criteria based).
| Version: | 1.1 |
| Depends: | quantreg, quadprog, utils |
| Suggests: | MASS |
| Published: | 2015-11-23 |
| Author: | Eran Raviv |
| Maintainer: | Eran Raviv <eeraviv at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Citation: | ForecastCombinations citation info |
| CRAN checks: | ForecastCombinations results |
| Reference manual: | ForecastCombinations.pdf |
| Package source: | ForecastCombinations_1.1.tar.gz |
| Windows binaries: | r-devel: ForecastCombinations_1.1.zip, r-release: ForecastCombinations_1.1.zip, r-oldrel: ForecastCombinations_1.1.zip |
| OS X binaries: | r-release: ForecastCombinations_1.1.tgz, r-oldrel: ForecastCombinations_1.1.tgz |
| Reverse imports: | GeomComb |
Please use the canonical form https://CRAN.R-project.org/package=ForecastCombinations to link to this page.


--- layout: default title: Offline First Chat root_path: ../ ---
The Offline First Slack community is a place to discuss offline web related technologies, get help and find out more about the Offline First discussion.
If you'd like to join, read up on our Code of Conduct and request an invite below.
If you see an error above, please ping Tiago on Twitter


CULTIVATE - CARING - COMMUNITY
MENU
Providing resources to help
our homeless neighbors achieve
self-actualization


{% extends "base.html" %} {% load static %} {% load crispy_forms_tags %} {% block title %}{{ hackathon.code }}{% endblock %} {% block content %}
If you are attending the hackathon and are reading this please contact an instructor immediately!


| 003:014 Khan | : |
Beautified for men is the love of things they covet; women, children, much of gold and silver (wealth), branded beautiful horses, cattle and well-tilled land. This is the pleasure of the present world's life; but Allah has the excellent return (Paradise with flowing rivers, etc.) with Him. |
| 003:014 Maulana | : |
Fair-seeming to men is made the love of desires, of women and sons and hoarded treasures of gold and silver and well-bred horses and cattle and tilth. This is the provision of the life of this world. And Allah -- with Him is the good goal (of life). |
| 003:014 Pickthal | : |
Beautified for mankind is love of the joys (that come) from women and offspring; and stored-up heaps of gold and silver, and horses branded (with their mark), and cattle and land. That is comfort of the life of the world. Allah! With Him is a more excellent abode. |
| 003:014 Rashad | : |
Adorned for the people are the worldly pleasures, such as the women, having children, piles upon piles of gold and silver, trained horses, livestock, and crops. These are the materials of this world. A far better abode is reserved at GOD. |
| 003:014 Sarwar | : |
Worldly desires, wives, children, accumulated treasures of gold and silver, horses of noble breed, cattle, and farms are all made to seem attractive to men. All these are the bounties of the worldly life but in the life to come God has the best place for people to dwell. |
| 003:014 Shakir | : |
The love of desires, of women and sons and hoarded treasures of gold and silver and well bred horses and cattle and tilth, is made to seem fair to men; this is the provision of the life of this world; and Allah is He with Whom is the good goal (of life). |
| 003:014 Sherali | : |
Fair-seeming to men is made the love of desired things -women and children, and stored up heaps of gold and silver, and horses of mark and cattle and crops. That is the provision of the present life; but it is ALLAH with Whom is an excellent home. |
| 003:014 Yusufali | : |
Fair in the eyes of men is the love of things they covet: Women and sons; Heaped-up hoards of gold and silver; horses branded (for blood and excellence); and (wealth of) cattle and well-tilled land. Such are the possessions of this world's life; but in nearness to Allah is the best of the goals (To return to). |
Concepts/Themes Covered: الإيمان > اليوم الآخر > تفضيل الآخرة على الدنيا Faith> The Hereafter> Prefering the World to the Hereafter الجهاد > أدوات الجهاد > الخيل Jihad>The Holy War Tools>Horses الإنسان والعلاقات الأخلاقية > الأخلاق الذميمة > اتباع الشهوات Man and The Moral Relations>The Dispraised Morals>Following Strong Desire
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.


PCIC's implementation of Climdex routines for computation of extreme climate indices.
| Version: | 1.1-9 |
| Depends: | R (≥ 2.12.0), PCICt (≥ 0.5-4) |
| Imports: | methods, Rcpp (≥ 0.11.4) |
| Suggests: | compiler, RUnit |
| Published: | 2018-08-01 |
| Author: | David Bronaugh for the Pacific Climate Impacts Consortium |
| Maintainer: | James Hiebert <hiebert at uvic.ca> |
| BugReports: | https://github.com/pacificclimate/climdex.pcic/issues/ |
| License: | GPL-3 |
| URL: | https://www.r-project.org |
| NeedsCompilation: | yes |
| Materials: | ChangeLog |
| CRAN checks: | climdex.pcic results |
| Reference manual: | climdex.pcic.pdf |
| Package source: | climdex.pcic_1.1-9.tar.gz |
| Windows binaries: | r-devel: climdex.pcic_1.1-9.zip, r-release: climdex.pcic_1.1-9.zip, r-oldrel: climdex.pcic_1.1-9.zip |
| OS X binaries: | r-release: climdex.pcic_1.1-9.tgz, r-oldrel: climdex.pcic_1.1-9.tgz |
| Old sources: | climdex.pcic archive |
| Reverse depends: | RClimMAWGEN |
| Reverse imports: | ClimProjDiags, iki.dataclim |
Please use the canonical form https://CRAN.R-project.org/package=climdex.pcic to link to this page.


This document contains a description for every service implemented in the sendeR
package on how to start sending messages with it. Each chapter contains information about acquiring either an API webhook, a token or some other form of credentials required for sending messages via the API.
Other than the API access acquisition usage of each client is very straightforward. With the acquired form of authorization we create a client for the service. Once the service client is created the send_message
has three basic parameters:
client
- the created client,message
- a text message to be sent,destination
- a chat id.Additionally, a client specific arguments can be passed through the ellipsis. Those arguments are also covered below.
First visit Google API web interface: https://console.developers.google.com/apis/credentials
Click Select a project, then NEW PROJECT, and enter a name for the project, and optionally, edit the provided project ID. Click Create.
On the Credentials page, select Create credentials, then OAuth client ID.
You may be prompted to set a product name on the Consent screen; if so, click Configure consent screen, supply the requested information, and click Save to return to the Credentials screen.
Select Other for the Application type, and enter any additional information required.
Click Create.
On the page that appears, copy the client ID and client secret to your clipboard, as you will need them when you configure your client library.
Create a Slack app here: https://api.slack.com/apps?new_app=1
Enable Incoming Webhooks from the settings page.
After the settings page refreshes, click Add New Webhook to Workspace. Pick a channel that the app will post to, then click Authorize.
Use your Incoming Webhook URL to post a message to Slack.
Creating a Telegram bot is really simply (simpler than guessing your chat id I would say!). To create the bow simply find the @BotFather
- chat with it should look similarly to this:
Once the chat is started BotFather will send a message with available commands. The one which interests us is /newbot
. After sending the command we will be prompted to enter our bot display name.
Once the display name is provided we will be asked for bot username, that is, the name which we can @tag the bot or search for it in the Telegram.
Once that is done BotFather will send the message with our bot API token. This token is passed to the client_telegram
function of sendeR
package.
For Telegram client the destination
argument is a chat_id where the message is supposed to be sent. Before sending messages we have to determine what is the chat id we want to use.
If we want to send messages to the one on one chat with bot. To do that open the chat with bot and initialize the chat by pressing /start
as shown below.
Now we will use the bot to read our chat id. In order to do so head to https://api.telegram.org/bot<your-bot-token>/getupdates
. Page should display a JSON response with no updates received by the bot:
{
"ok": true,
"result": []
}
Sending an example message “Hello!” to the bot and refreshing the page should result in response containing information similar to the one below (among other parameters).
{
"ok": true,
"result": [
{
"update_id": 164384282,
"message": {
"message_id": 2,
"from": {
"id": your_user_id
},
"chat": {
"id": your_chat_id
},
"date":<PHONE_NUMBER>,
"text": "Hello!"
}
}
]
}
Here is the chat id (the destination
parameter) we were looking for.
Note that the chat id and the user id are the same that is due to the user id being used as chat id for one on one chats.
Similarly to the one on one chats we have to retrieve the information from https://api.telegram.org/bot<your-bot-token>/getupdates
page.
To get group’s chat id we need to add our bot to the group. Once the bot is added to the group an update containing following information should appear if we refresh the above page:
{
"ok": true,
"result": [
{
"update_id": 164384283,
"message": {
"message_id": 3,
"from": {
"id": your_user_id,
},
"chat": {
"id": your_group_id,
"type": "group"
},
"date":<PHONE_NUMBER>,
"group_chat_created": true
}
}
]
}
From the response we can extract the group id (note: group ids are negative numbers).


Project Proposal
- Product Name: playlistDB
- Team Members: Marcel
- Application Overview (overview from a end user perspective): This Database will be a collection of songs that are shuffled into various playlists. They should have track length, artist name, song title, a link to the lyrics, and perhaps a link to a music video on youtube.
- Technology Overview (languages, libraries, platforms, hosting): The database will be written in Mysql using XXAMP shell. I’m not sure how ill display it graphically so I will have to discuss that further with professor pogue. I will deploy it on github and host it on microsoft azure for now.
- Proposal Last Updated (the date the proposal was last updated) This is the first draft.
- Feature List
- Tables for different playlists, the entire collection, and artist information.
- Fields for track length, artist name, song title, and links to lyrics/music videos
- Future Feature List (non-prioritized list of end user features that would be implemented if there was more time)
- A search function to look for different songs in the table that has all the songs and is displayed on the screen
- Basic Technical Features (list of technical features being implemented that demonstrates things you have learned in the class)
- Create or manipulate an already different mysql database of music (If I find another db someone made my goal would be to use the structure but put music from my own playlists in it instead)
- Display this database graphically somehow using presumably Javascript HTML and CSS
- Host it on Github
- Deploy it on microsoft azure
- basic GUI on the screen
- Advanced Technical Features (list of technical features being implemented that go beyond what we learned in class)
- Possibly host it using AWS instead of microsoft azure
- Advanced GUI
- Ability to play the songs


| < Day Day Up > |
In the general linear-programming problem, we wish to optimize a linear function subject to a set of linear inequalities. Given a set of real numbers a1, a2, ..., an and a set of variables x1, x2, ..., xn, a linear function f on those variables is defined by
If b is a real number and f is a linear function, then the equation
f(x1, x2, ..., xn) = b
is a linear equality and the inequalities
f(x1, x2, ..., xn) ≤ b
and
f(x1, x2, ..., xn) ≥ b
are linear inequalities. We use the term linear constraints to denote either linear equalities or linear equalities. In linear programming, we do not allow strict inequalities. Formally a linear-programming problem is the problem of either minimizing or maximizing a linear function subject to a finite set of linear constraints. If we are to minimize, then we call the linear program a minimization linear program, and if we are to maximize, then we call the linear program a maximization linear program.
This remainder of this chapter will cover the formulation and solution of linear programs. Although there are several polynomial-time algorithms for linear programming, we shall not study them in this chapter. Instead, we shall study the simplex algorithm, which is the oldest linear-programming algorithm. The simplex algorithm does not run in polynomial time in the worst case, but it is fairly efficient and widely used in practice.
| < Day Day Up > |


We are a Family Entertainment Center based in Huntington Beach, California. We have a strong focus on providing fun activities for all ages. We pride ourselves with the level of service and quality we are able to achieve at all of our locations. From the freshness of our food to the atmosphere of our arcades, rest assured that we pay attention to every detail to make sure that you have the best experience possible with your friends and family.
As a kid I always loved to go to the local arcade and beat high scores. It was my passion. I wanted everyone to feel the joy that I felt when I was at the arcade that's why I created FunWorks Warehouse.
When Chris came to me with the idea of FunWorks Warehouse I was so excited. I wanted everyone to be able to have the fun that we had as kids. I fell in love with it as soon as I heard the name. The atmosphere is truly one-of-a-kind.
We maintain a variety of activities. You can head over to our Activities page to find out more about them.
Yes we do! We wanted to make sure that sharing the fun moments you'll have at our entertainment center is easy.
Yes, there is a buffet that has more food than you can eat!
Yes we do! Head over to our Reserve page and check out our party packages.
Yes there is! We offer a Child's Play Center at our location.


add wish
×
I wish
×
I wish
Make a wish
Wish
An interactive site to hold your wishes
/wiSH/ a desire or hope for something to happen


Application: Maya 2012
Language: Python 3.x
Home
unlock()
Parameters
None
Return Values
IDLE status
Description
This command brings the program back to the 'IDLE' status.
And drops all known locators out of the program.
Also see
lock()


Full Stack web developer with a growing knowledge base in computer science. Highly motivated and adaptable college graduate determined in growing in the fields of information and web technology.


Back in the USSR
A chara, – In his account of the life of Canon Félix Kir (An Irishman’s Diary, November 19th), Oliver O’Hanlon wrote that Kir, as mayor of Dijon, twinned that city “. . . with Volgograd (which was called Leningrad at that time), in the Soviet Union.” Wrong grad – it was called Stalingrad. Leningrad is St Petersburg. A journalist might have been purged for that at one time. – Is mise,
JOE McLAUGHLIN,
Midlothian,
Scotland.


Getting Started¶
Installation¶
The package is available on NuGet:
Install-Package Passaword
If you want to run a web version of Passaword, a good place to start is the sample UI, available at https://github.com/Passaword/Passaword.UI
This gives you a really simple UI with Google authentication enabled.
Dependency Injection¶
The first step is to initialize the services Passaword needs according to your desired configuration.
In your Startup.cs
file, add the following line inside ConfigureServices
:
services.AddPassaword()
.AddInMemorySecretStore()
.AddExpiryValidation()
.AddPassphraseValidation();
This sets up all the services you need for a basic installation with expiry and passphrase validation.
Configuration¶
Ensure you add your configuration defaults in appsettings.json
(secure secrets in your secure User Secrets storage):
"Passaword": {
"DefaultKey": "25EC2A10DCFE73790A81D02388C000DACD4B6D4DD8603401EA0BF0CBA40DB1E6",
"DecryptionKeys": [],
"SecretUrl": "https://passaword.mydomain.com/secret?k={key}"
}
Please generate your OWN key
Key rotation¶
The decryption keys array is there so you can rotate the default key. Whenever you set a new encryption key, add the old one to the array.
Encrypting a secret¶
To encrypt a secret, you need a SecretEncryptionContext
, provided by an ISecretContextService
, which you can get via DI.
Within the encryption context, you should pass in any data the validators need, and then call the EncryptSecretAsync
method:
string secretId;
using (var encryptContext = _secretContextService.CreateEncryptionContext(User))
{
encryptContext.Secret.CreatedBy = User.FindFirstValue(ClaimTypes.Email);
encryptContext.InputData.Add(UserInputConstants.Secret, model.Secret);
encryptContext.InputData.Add(UserInputConstants.Passphrase, model.Passphrase);
encryptContext.InputData.Add(UserInputConstants.Expiry, model.Expiry);
encryptContext.SecretProperties.Add(new SecretProperty(SecretProperties.OwnerEmail) { Data = User.FindFirstValue(ClaimTypes.Email) });
secretId = await encryptContext.EncryptSecretAsync();
}
That’s all. Remember to dispose of the context so your secret doesn’t hang around in memory.
Decrypting a secret¶
Decrypting a secret is a 2-step process, a pre-process step to check the user supplied key, and then the actual decryption step. This is condensed in to one call for brevity:
using (var decryptContext = _secretContextService.CreateDecryptionContext(User))
{
decryptContext.InputData.Add(UserInputConstants.Passphrase, model.Passphrase);
var result = await decryptContext.PreProcessAsync(model.Id);
if (result.IsValid)
{
var decrypted = await decryptContext.DecryptSecretAsync(model.Id);
if (decrypted == null) {
throw new Exception("Decryption failed");
}
return decrypted;
}
else
{
throw new Exception("Decryption failed");
}
}
That’s it! You can now encrypt and decrypt a secret.


FROM:MRS. M SESE-SEKO. DEAR FRIEND, I AM MRS. MARIAM SESE-SEKO WIDOW OF LATE PRESIDENT MOBUTU SESE-SEKO OF ZAIRE? NOW KNOWN AS DEMOCRATIC REPUBLIC OF CONGO (DRC).I RECEIVED YOUR COMPANY PROFILE FROM THE CHAMBERS OF COMMERCE IN MOROCCO. I AM MOVED TO WRITE YOU THIS LETTER, THIS WAS IN CONFIDENCE CONSIDERING MY PRESENT CIRCUMSTANCE AND SITUATION.  HOWEVER DUE TO THIS SITUATION WE DECIDED TO CHANGED MOST OF MY HUSBAND'S BILLIONS OF DOLLARS DEPOSITED IN SWISS BANK AND OTHER COUNTRIES INTO OTHER FORMS OF MONEY CODED FOR SAFE PURPOSE BECAUSE THE NEW HEAD OF STATE OF (DRC) MR LAURENT KABILA HAS MADE ARRANGEMENT WITH THE SWISS GOVERNMENT AND OTHER EUROPEAN COUNTRIES TO FREEZE ALL MY LATE HUSBAND'S TREASURES DEPOSITED IN SOME EUROPEAN COUNTRIES.  I HAVE DEPOSITED THE SUM OF ONE HUNDRED MILLION UNITED STATE DOLLARS(US$I00,000,000,00.) WITH A SECURITY COMPANY , FOR SAFEKEEPING. THE FUNDS ARE SECURITY CODED TO PREVENT THEM FROM KNOWING THE CONTENT.  ACKNOWLEDGE THIS MESSAGE, SO THAT I CAN INTRODUCE YOU TO MY SON (NZANGA) WHO HAS THE OUT MODALITIES FOR THE CLAIM OF THE SAID FUNDS. I WANT YOU TO ASSIST IN INVESTING THIS MONEY, BUT I WILL NOT WANT MY IDENTITY REVEALED. I WILL ALSO WANT TO BUY PROPERTIES AND STOCK IN MULTI-NATIONAL COMPANIES AND TO ENGAGE IN OTHER SAFE AND NON-SPECULATIVE INVESTMENTS.   BEST REGARDS, MRS M. SESE SEKO.


{% include disqus.html %} {% include facebook_like.html %} {% include google_plus_one.html %} {% include custom/after_footer.html %} {% include twitter_sharing.html %}


Step 11: Audit Ready Logs
- The
“Console Log”
tab shows the complete output of the system console as the rules were applied
- The pull down on the top right of the screen allows you to look at historical logs for the machine shown in the top-left pull down


{% extends "api/base.html" %} {% block content %}
One row representing each time a bus completes a journey along a monitored section of road with these columns:
| Column name | Description |
|---|---|
| zone_id | Unique identifier for the section of road being monitored. |
| ts | Observation timestamp in seconds since 00:00:00 UTC on 1 January 1970, minus leap seconds ('Unix' or 'Epoch' time). |
| ts_text | Observation timestamp as text in UK local time (UTC in the winter, BST in the summer) with time zone information. |
| duration | Time in seconds taken to transit this section of road. |
| distance | Distance in meters covered by the bus while transiting this section of road. |
| ts_delta | Bus tracks are approximated by a sequence of straight line segments. ts_delta is the sum of the duration of the first segment (the one that entered the section) and the duration of the last (the one that left), in seconds. |
| vehicle_id | A unique identifier of the bus involved. |
| line | An identifier for the 'line' (e.g. timetable route) that the bus was servicing at the time of the zone completion. These have a close but not exact relationship to the line identifiers in the timetable information published by the Traveline National Dataset (TNDS). |
| direction | The direction of travel of the vehicle on its 'line'. Typically either 'INBOUND" or 'OUTBOUND'. |
| operator | A code for the operator of the vehicle. |
| origin | First stop on the timetabled journey currently assigned to the vehicle that transited the zone, expressed as the 'ATOCCode' of the stop in the National Public Transport Access Nodes (NaPTAN) database. |
| destination | Last stop on the timetabled journey currently assigned to the vehicle that transited the zone, expressed as the 'ATOCCode' of the stop in the National Public Transport Access Nodes (NaPTAN) database. |
| departure_time | The timetabled departure time from the origin stop for the timetabled journey currently assigned to the vehicle that transited the zone. |
One row for each monitored section of road with these columns:
| Column name | Description |
|---|---|
| zone_id | Unique identifier for the section of road being monitored. |
| zone_reverse_id | The zone_id for the same section of road as this one but for traffic in the opposite direction (if there is one). |
| zone_name | A human-readable name for this section of road. |
| zone_map | 'TRUE' if this section of road is to be shown on the map on the SmartCambridge site and 'FALSE' otherwise. This is used to avoid displaying the same section of road in both directions. |
| zone_center | A pair of numbers separated by '|' representing the WGS84 latitude and longitude of the aproximate centre of the road segment. |
| zone_zoom | An 'OpenStreetMap'-compatible map zoom level that can be used along with zone_center to show this section of road on a map. |
| zone_finish_index | The zero-based index of the segment of zone_path that represents the 'finish line' for this section of road. |
| zone_path | A sequence of numbers separated by '|' representing pairs of WGS84 latitudes and longitudes locating the verticies of a clockwise polygon within which the segment of road lies. The first segment represents the 'start line' and the segment identified by 'zone_finish_index' represents the 'finish line'. To generate an observation, a bus must enter the polygon across the start line and leave it across the finish line without otherwise leaving the polygon. |


Rachel Riley brushes off Jeremy Corbyn t-shirt drama on date with Pasha Kovalev
Rachel Riley was hit with major backlash for erasing Jeremy Corbyn’s anti-apartheid message with a Photoshopped t-shirt.
But the 33-year-old didn’t seem to be shaken by the drama as she headed out for a date night with husband Pasha Kovalev.
Rachel and Pasha – who are expecting their first baby in a matter of weeks – attended the Grassroots Soccer World Aids Day Charity Gala together on Thursday night, and were all smiles as they rocked up to Lindley Hall.
The pregnant star shimmered in a striped sequinned dress in blues and golds, while she wore a coat over her shoulders and wore metallic stilettos.
Rachel linked arms with former Strictly star Pasha, 39, who looked dapper in a suit and pink tie.
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The couple didn’t appear to be flustered by the social media storm caused by Rachel’s t-shirt earlier that day.
The Countdown star, who has been vocal in her opposition to Corbyn over allegations of anti-Semitism in the Labour Party, wore a t-shirt during the Leaders Debate on Tuesday night that showed a photo of Corbyn being arrested on an anti-apartheid protest in 1984.
However, Rachel’s t-shirt saw Corbyn holding a Photoshopped placard reading: ‘Jeremy Corbyn is a racist endeavour.’
The original picture shows Corbyn holding a sign reading: ‘Defend the right to demonstrate against apartheid; join this picket.’
Many accused Riley of erasing Corbyn’s anti-racism message, with calls for her to be sacked from Channel 4.
However, Rachel has stood by her statement, tweeting: ‘The ease at which large swathes of people can be mobilised into group hate, for highlighting Corbyn’s history of racism using an image of his arrest as part of an extreme group cited as damaging the mainstream anti-apartheid movement, is just one reason Jewish people are worried.
‘Trying to brand me as racist for this, whist lauding themselves as anti-racist heroes, shows just how little regard many people have for anti-Jewish racism, and why I and many others speak so loudly. It’s a hatred which unites the far right, far left and is having a resurgence.
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‘I won’t dignify this with any further response & I won’t tolerate abuse from those who choose to rank one form of racism over another, that’s hypocrisy. They’re all unacceptable. End of.’
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The function MKPOLS returns a list of HPC objects, i.e. the geometric type of the PLaSM language. This list is generated to be displayed, possibly exploded, by the pyplasm viewer.
Each cell f in the model (i.e. each vertex list in the FV array of the previous example) is mapped into a polyhedral cell by the pyplasm operator MKPOL. The vertex indices are mapped from base 0 (the Python and C standard) to base 1 (the Plasm, Matlab, and FORTRAN standard).
def MKPOLS (model):
V, FV = model
pols = [MKPOL([[V[v] for v in f],[range(1,len(f)+1)], None]) for f in FV]
return pols
◇
Macro referenced in 5d.
Unit tests Some simple 3D, 2D, 1D and 0D models are generated and visualised exploded by the file


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{% load i18n handy_helpers %} {% for message in messages %}
{% endfor %} {% if user.is_authenticated %} {% if not user.verified %}{% blocktrans trimmed %} Please verify your account by clicking the link in the mail we sent to your email inbox. {% endblocktrans %}
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Northfield Cabinet Shop is a family-owned business located in northern Wisconsin that has been providing quality custom cabinetry for over 60 years. Our projects are uniquely designed, hand-crafted, and finely tailored to fit your individual needs. Nothing is pre-fabricated. We'll work with you from start to finish to create pieces that will set your home apart and last a lifetime. Check out our gallery for examples of our finished work, and find us on Facebook to see our projects-in-progress.
As a means of introduction, owner Michael Maillette apprenticed cabinet making under his father, Ted Maillette, who established Northfield Cabinet Shop in 1948 in Northfield, Illinois, a northern suburb of Chicago. Northfield Cabinet Shop built custom cabinetry for over 30 years in the Chicago North Shore and downtown Chicago areas before making a transition to Conover, WI in 1981. Michael became owner of the business in 1989 and has had the distinct pleasure of working with Daniel Benson Builders in Land O' Lakes, WI for the past 20 years. A number of Daniel's homes have been featured in multiple issues of Log Home Living, Log Home Illustrated, and Log Home Design Ideas in which our cabinetry was also highlighted.


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Now that’s more like it!
Boy, I’m sure getting some high quality holiday enjoyment time in now! Look at how restful I was over the last couple of days…
Yesterday, went back out for some ‘last minute’ shopping. Hit 4 stores in 1-1/2 hours and came back home.  The shop was nice although I prefer my LYS better. Besides, they were completely out of Kureyon. Hmph. I did get back to that bookstore and get those books. Yay me. This was ‘before work’.
At lunch, I went to my favorite LYS and got a few items there, swung by the sewing center to pick up some notions (rest and relaxation, there’s a notion!) Was so harried I forgot to ask about Kureyon. Then we thought we might run by the game store (which is near the mall) to see if they had something my dad was looking for, but I got paged with a case and we had to head home. What a shame 🙂
Picked up the kids from their various activities (bouncing and painting) and took them to a friend’s house to decorate cookies, ran back home to work. I imagined that during this time I might work, wrap presents, do cards, and get dinner prepared. I got some work done. Then it was time to go. No presents were wrapped, no cards were addressed, no dinner was prepared. I was a bit puzzled at this… I wonder if perhaps intent isn’t quite enough…
 I don’t remember why but for some reason these things remained undone before I slumped dreamlessly into bed.
See how much more relaxing my life is now? So, about today…
Had to call to make an appointment for my sick ailing kitty… looks like he’s majorly diabetic and he’s got to spend a couple of days at the kitty hospital. My husband dealt with the particulars but it’s a sad thing indeed 🙁
Took the Boy to bouncing, then went to breakfast and swung by ToysRUs to get some supplemental items needed for the Santa Stuff. Fortunately the Girl did not press me on the reason for these items. Nor did she insist on seeing what they were.
Then we had 3 leisurely hours at home before we took the Girl to art. Work was blissfully quiet so I put the Girl to work addressing Christmas Cards while I scribbled some kind of personal-ish message in each one (Next year, everyone’s getting a form letter. Deal with it). Surprisingly enough, after I actually started writing in them and putting them in envelopes, I got all of them done in a couple of hours. Infinitely more than when I was just, you know, looking apprehensively in their general direction. During this time I did get a few support requests, mostly from fanatically desperate engineers who were sure they would receive no support on this wishy-washy work day. They were very relieved that I helped them.
My husband took the Girl to art, so my dad and I bravely set up the present wrapping area and got to work. 2 solid hours of wrapping, and here are the presents (pre-finishing):
Maybe I exaggerated a little when I said there were 76 presents. Or maybe I didn’t.
We basked in the glow of the mighty present pile for a few minutes before we headed out to get the kids and grab some dinnerl, then swing by the grocery store for more Sweet Potato Bread Pudding ingredients, and come home to do ‘finishing work’ on the presents – you know, ribbons, bows, stuff to give the presents some personality. Now the poor tree looks like it’s trying to hatch an enormous batch of square eggs:
So, we’re done, right? We had just a couple more errands on our list for tomorrow, which wouldn’t have been too bad. But lo, a lone spark fires in my overloaded brain. Isn’t the mall open until midnight tonight? Spurred by an adrenaline rush brought on by being so close to the finish line, at 8:30 we headed out to finish our list. First to Kmart to get a couple of booster seats since my mother-in-law had accidentally boosted one of them (heh, heh) during her last visit. Then we headed for the mall again, blazed through Gottschalks and finished off my dad’s list, and *almost* made it home in time for my husband to get out and see his movie. Pretty close. He probably just missed some previews…
In any case, now the cards are sent, the presents are wrapped, work is pretty much closed for the weekend. Tomorrow morning I’ll run out and grab some foodish stuff to get us through ’till Sunday, but that’s it! No more leaving the house! Hey, maybe I can work on that Irish Hiking Scarf or something…
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Studying my last semester of the bachelor program Software Development - Mobile Platforms
Had 7 weeks of internship during the spring 2015 at Mobile Storytelling. I developed a hybrid application and their own webpage
During my time as a student I worked extra as a bartender at the restaurant Glädje in Jönköping
A single player Blackjack game. Developed with no external libraries except Google icons.
An application to apply CSS filters on photos. Using Flickr API to fetch photos based on the user's input. This project isn't using any external libraries except icons.
A project we had in the course GUI-Programming at the university. The main aim was to make an user-friendly GUI. My role in the team was mostly the front end part.
Assisted in my friends portfolio website
A project made in the course Android Development. By using a REST API from an earlier course develop a native application for Android. The application is like a version of Instagram, a user can upload pictures and vidoes and share them with his/her friends.
In this project we created an application with a REST API and made it accessible via Internet by deploying it to a cloud service. The cloud service we used was Amazaon Web Services (AWS). The API was going to be used in two other courses: Android- / IOS Development.
A project made in the course Server-side development. The project was to make a library web-application connected to a SQL database. The objectives of the project was to gain knowledge and to train on how to build a database driven web-application. Used the markup language Razor.


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Week 1: Arriving at MIT
September 4, 2015
Nicola and the MIT dome at night
So, I decided to follow Andrei’s idea, based on my original idea of weekly updates on my life.
So, yes, it is now official, I am now at MIT. I just arrived in this exciting place with my father. I have been buying furniture, getting a student card, having dinner with my research group that has been extremely welcoming, making new Indian, Mexican and Italian friends (and so many other nationalities).
I have been to plenty of orientation events, that made me revive all the great moments I had in my first year at UCL. Boat cruise, night walks, and more than everything else, meeting a lot of new people everyday. Although Cambridge has been great so far, I do miss London, the Londoners and the adopted Londoners I met in the last three years11 I did my undergraduate studies at University College London.
Tonight I have seen the dome for the first time, and it has been a magic couple of seconds.
- Nicola Greco,
Keep on rocking the decentralized web


Entity Relation Diagram
The Entity Relation Diagram (ERD) helps you interpret C++ or Java classes. An ERD shows or hides all entity relationships between C structures or C++ classes, shows built-in (and other) relations, shows members, and allows you to insert or remove classes. Symbols and color-coded lines indicate the nature of the relationships.
Relation lines in an Entity Relation Diagram include logical symbols that clarify the relationships that they indicate. Each line identifies a pair of related classes or entities. Arrowheads indicate the direction of the relation.
The following logical symbols indicate the nature of the relationships between two classes:
|
Logical Symbol |
Description |
|
|
For each instance of A, there are zero or more instances of B
|
|
|
For each instance of A, there is exactly one instance of B
|
|
|
For each instance of A, there are one or more instances of B
|
|
|
For each instance of A, there is an optional instance of B
|


Caches the specified table with the given storage level.
Caches the specified table with the given storage level.
is either a qualified or unqualified name that designates a table/view. If no database identifier is provided, it refers to a temporary view or a table/view in the current database.
storage level to cache table.
2.3.0
Caches the specified table in-memory.
Caches the specified table in-memory.
is either a qualified or unqualified name that designates a table/view. If no database identifier is provided, it refers to a temporary view or a table/view in the current database.
2.0.0
Removes all cached tables from the in-memory cache.
Removes all cached tables from the in-memory cache.
2.0.0
:: Experimental :: (Scala-specific) Create a table based on the dataset in a data source, a schema and a set of options.
:: Experimental :: (Scala-specific) Create a table based on the dataset in a data source, a schema and a set of options. Then, returns the corresponding DataFrame.
is either a qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database.
2.2.0
:: Experimental :: (Scala-specific) Creates a table based on the dataset in a data source and a set of options.
:: Experimental :: (Scala-specific) Creates a table based on the dataset in a data source and a set of options. Then, returns the corresponding DataFrame.
is either a qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database.
2.2.0
:: Experimental :: Creates a table from the given path based on a data source and returns the corresponding DataFrame.
:: Experimental :: Creates a table from the given path based on a data source and returns the corresponding DataFrame.
is either a qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database.
2.2.0
:: Experimental :: Creates a table from the given path and returns the corresponding DataFrame.
:: Experimental :: Creates a table from the given path and returns the corresponding DataFrame. It will use the default data source configured by spark.sql.sources.default.
is either a qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database.
2.2.0
Returns the current default database in this session.
Returns the current default database in this session.
2.0.0
Check if the database with the specified name exists.
Check if the database with the specified name exists.
2.1.0
Drops the global temporary view with the given view name in the catalog.
Drops the global temporary view with the given view name in the catalog. If the view has been cached before, then it will also be uncached.
Global temporary view is cross-session. Its lifetime is the lifetime of the Spark application,
i.e. it will be automatically dropped when the application terminates. It's tied to a system
preserved database global_temp
, and we must use the qualified name to refer a global temp
view, e.g. SELECT * FROM global_temp.view1
.
the unqualified name of the temporary view to be dropped.
true if the view is dropped successfully, false otherwise.
2.1.0
Drops the local temporary view with the given view name in the catalog.
Drops the local temporary view with the given view name in the catalog. If the view has been cached before, then it will also be uncached.
Local temporary view is session-scoped. Its lifetime is the lifetime of the session that
created it, i.e. it will be automatically dropped when the session terminates. It's not
tied to any databases, i.e. we can't use db1.view1
to reference a local temporary view.
Note that, the return type of this method was Unit in Spark 2.0, but changed to Boolean in Spark 2.1.
the name of the temporary view to be dropped.
true if the view is dropped successfully, false otherwise.
2.0.0
Check if the function with the specified name exists in the specified database.
Check if the function with the specified name exists in the specified database.
is a name that designates a database.
is an unqualified name that designates a function.
2.1.0
Check if the function with the specified name exists.
Check if the function with the specified name exists. This can either be a temporary function or a function.
is either a qualified or unqualified name that designates a function. If no database identifier is provided, it refers to a function in the current database.
2.1.0
Get the database with the specified name.
Get the database with the specified name. This throws an AnalysisException when the database cannot be found.
2.1.0
Get the function with the specified name.
Get the function with the specified name. This throws an AnalysisException when the function cannot be found.
is a name that designates a database.
is an unqualified name that designates a function in the specified database
2.1.0
Get the function with the specified name.
Get the function with the specified name. This function can be a temporary function or a function. This throws an AnalysisException when the function cannot be found.
is either a qualified or unqualified name that designates a function. If no database identifier is provided, it refers to a temporary function or a function in the current database.
2.1.0
Get the table or view with the specified name in the specified database.
Get the table or view with the specified name in the specified database. This throws an AnalysisException when no Table can be found.
2.1.0
Get the table or view with the specified name.
Get the table or view with the specified name. This table can be a temporary view or a table/view. This throws an AnalysisException when no Table can be found.
is either a qualified or unqualified name that designates a table/view. If no database identifier is provided, it refers to a table/view in the current database.
2.1.0
Returns true if the table is currently cached in-memory.
Returns true if the table is currently cached in-memory.
is either a qualified or unqualified name that designates a table/view. If no database identifier is provided, it refers to a temporary view or a table/view in the current database.
2.0.0
Returns a list of columns for the given table/view in the specified database.
Returns a list of columns for the given table/view in the specified database.
is a name that designates a database.
is an unqualified name that designates a table/view.
2.0.0
Returns a list of columns for the given table/view or temporary view.
Returns a list of columns for the given table/view or temporary view.
is either a qualified or unqualified name that designates a table/view. If no database identifier is provided, it refers to a temporary view or a table/view in the current database.
2.0.0
Returns a list of databases available across all sessions.
Returns a list of databases available across all sessions.
2.0.0
Returns a list of functions registered in the specified database.
Returns a list of functions registered in the specified database. This includes all temporary functions
2.0.0
Returns a list of functions registered in the current database.
Returns a list of functions registered in the current database. This includes all temporary functions
2.0.0
Returns a list of tables/views in the specified database.
Returns a list of tables/views in the specified database. This includes all temporary views.
2.0.0
Returns a list of tables/views in the current database.
Returns a list of tables/views in the current database. This includes all temporary views.
2.0.0
Recovers all the partitions in the directory of a table and update the catalog.
Recovers all the partitions in the directory of a table and update the catalog. Only works with a partitioned table, and not a view.
is either a qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database.
2.1.1
Invalidates and refreshes all the cached data (and the associated metadata) for any Dataset
that contains the given data source path.
Invalidates and refreshes all the cached data (and the associated metadata) for any Dataset
that contains the given data source path. Path matching is by prefix, i.e. "/" would invalidate
everything that is cached.
2.0.0
Invalidates and refreshes all the cached data and metadata of the given table.
Invalidates and refreshes all the cached data and metadata of the given table. For performance reasons, Spark SQL or the external data source library it uses might cache certain metadata about a table, such as the location of blocks. When those change outside of Spark SQL, users should call this function to invalidate the cache.
If this table is cached as an InMemoryRelation, drop the original cached version and make the new version cached lazily.
is either a qualified or unqualified name that designates a table/view. If no database identifier is provided, it refers to a temporary view or a table/view in the current database.
2.0.0
Sets the current default database in this session.
Sets the current default database in this session.
2.0.0
Check if the table or view with the specified name exists in the specified database.
Check if the table or view with the specified name exists in the specified database.
is a name that designates a database.
is an unqualified name that designates a table.
2.1.0
Check if the table or view with the specified name exists.
Check if the table or view with the specified name exists. This can either be a temporary view or a table/view.
is either a qualified or unqualified name that designates a table/view. If no database identifier is provided, it refers to a table/view in the current database.
2.1.0
Removes the specified table from the in-memory cache.
Removes the specified table from the in-memory cache.
is either a qualified or unqualified name that designates a table/view. If no database identifier is provided, it refers to a temporary view or a table/view in the current database.
2.0.0
:: Experimental :: Create a table based on the dataset in a data source, a schema and a set of options.
:: Experimental :: Create a table based on the dataset in a data source, a schema and a set of options. Then, returns the corresponding DataFrame.
is either a qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database.
2.2.0
:: Experimental :: Creates a table based on the dataset in a data source and a set of options.
:: Experimental :: Creates a table based on the dataset in a data source and a set of options. Then, returns the corresponding DataFrame.
is either a qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database.
2.2.0
(Scala-specific) Create a table from the given path based on a data source, a schema and a set of options.
(Scala-specific) Create a table from the given path based on a data source, a schema and a set of options. Then, returns the corresponding DataFrame.
is either a qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database.
(Since version 2.2.0) use createTable instead.
2.0.0
:: Experimental :: Create a table from the given path based on a data source, a schema and a set of options.
:: Experimental :: Create a table from the given path based on a data source, a schema and a set of options. Then, returns the corresponding DataFrame.
is either a qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database.
(Since version 2.2.0) use createTable instead.
2.0.0
(Scala-specific) Creates a table from the given path based on a data source and a set of options.
(Scala-specific) Creates a table from the given path based on a data source and a set of options. Then, returns the corresponding DataFrame.
is either a qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database.
(Since version 2.2.0) use createTable instead.
2.0.0
Creates a table from the given path based on a data source and a set of options.
Creates a table from the given path based on a data source and a set of options. Then, returns the corresponding DataFrame.
is either a qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database.
(Since version 2.2.0) use createTable instead.
2.0.0
Creates a table from the given path based on a data source and returns the corresponding DataFrame.
Creates a table from the given path based on a data source and returns the corresponding DataFrame.
is either a qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database.
(Since version 2.2.0) use createTable instead.
2.0.0
Creates a table from the given path and returns the corresponding DataFrame.
Creates a table from the given path and returns the corresponding DataFrame. It will use the default data source configured by spark.sql.sources.default.
is either a qualified or unqualified name that designates a table. If no database identifier is provided, it refers to a table in the current database.
(Since version 2.2.0) use createTable instead.
2.0.0
Catalog interface for Spark. To access this, use
SparkSession.catalog
.2.0.0