Karma's SC2 Concept Car Promises 10,500 lb-ft of Wheel Torque & 1.9s to 60 MPH
Will its 1,100 BHP 120kWh battery be enough to rival the Tesla Roadster?
by Eric BrainKarma has unveiled its latest Tesla-rivalling concept car dubbed the SC2 at the 2019 LA Auto Show. The concept is hot on the wheels of the Tesla Roadster, and comes with a number of astonishing — and worrying — power figures for the Elon Musk-helmed manufacturer.
Karma claims that the SC2 will have 1,100 BHP, a 0-60 MPH time of 1.9 seconds — the same as the Tesla Roadster — and, most notably, 10,500 lb-ft of wheel torque. These power figures are matched by a range of 350 miles on a single charge, however, it should be noted that wheel torque is the figure produced when the engine torque is multiplied the by gear ratio and final drive — meaning official engine torque figures will be much more realistic.
Despite this, the Karma SC2 is a true EV hypercar by all means. It comes with carbon-ceramic brakes, a pushrod racing suspension system, and the manufacturer’s torque-vectoring gearbox. Karma also says the SC2 features an “ultrasonic dynamic regenerative panel,” which “gives SC2 high-performance handling and hand braking expected in an electric hypercar.”
Furthermore, Karma looks to the future with its one-of-a-kind Drive and Play technology, which allows drivers to “re-live their previous drives through simulated driving experiences in their own vehicles.” Once your drive is recorded, the car will use its adaptive laser projector to replay the journey while the vehicle is parked, acting as a simulator for drivers to fine-tune their skills.
For Karma, the SC2 is a showcase of its technological advances as it also features “Ultra Sonic Sensor Stalk technology” that supports launch control and regenerative braking, fingerprint and facial recognition sensors for vehicle entry, biometric seats and steering wheel functionalities and the inclusion of an I-shaped 120kWh battery housed in the central tunnel beneath the dashboard and seats.
Take a look at the Karma SC2 concept in the gallery above, and find more about the marque’s projects on its website now.
In other news, Aston Martin has officially unveiled the DBX SUV.


in the World
(2018)
ANALYSIS
Before creating visualizations, I made some predictions about what I would find. I also made note of any underlying factors that I believed might have an effect on the conclusions, and created subsets of the dataset for the Visualization section.
PREDICTIONS
Each country has the greatest number of restaurants with their specialty cuisine
Asian countries will have the greatest density of restaurants
European countries will have the highest average prices
The US will do relatively average in terms of overall average ratings
COMPILED DATASETS
I created various condensed and filtered datasets for the different visualizations. I won't attach them directly to the webpage, but I will place all the files and Python code into a GitHub repository. All the necessary data pre-processing steps are included in the file and will be clearly commented.


Info about this predictor
........todo........
........todo........
  Some tips before you go for finding your post's reach
When you post, LinkedIn puts it in one of three buckets.
- Spam
- Low quality
- High quality
So what separates Linkedin identifying your content as spam, low quality, or high quality?
Getting around the spam filter is easy...
- Use good grammar
- Don't use multiple links
- Don't tag more than 5 people
- Don't post more than every 3 hours
- Don't use hashtags like "follow," "comment," or "like."
Now here's some things to keep in mind...
- Only tag people if you know they will respond
- Use around 3 hashtags, one should be more broad, the next a little more niche, and the last very niche
- (example for above point: "#socialmedia," "#b2bsocialmedia")
- Format your post so it's easy to read
- Go niche vs broad on your topics
- Post things that encourage a response (easy way to do this is by asking a question)
- Don't use outbound links (put them in comments)
- Use strong keywords


Drag-and-drop your brain scan's .jpg file here:
.jpg
Status: {{ aiout }}
{{ aiout }}
Find out the severity of your condition with this assessment


Game
Settings
Reset
Easy
Medium
Hard
Insane
Custom
Number of pairs
4
5
6
7
8
Image
Name
Relationship
Birth place
Birth date
Spouse image
Spouse name


The following steps outlines how a service can be developed and deployed to a Virgo container using the Spring and OSGi technologies.


Chennai power disruption: Friday, November 22
Power will be suspended in parts of Chennai for maintenance work.
by Express Web DeskThe Tamil Nadu Generation and Distribution Corporation (Tangedco) has announced that power will be suspended in parts of Chennai on Friday for carrying out day-long maintenance work in the city.
The city will face a power shutdown from 9 am to 2 pm, with supply expected to resume before 2 pm if the work is completed.
As per a press release given by the company, the following neighbourhoods in Chennai will be affected:
Kilpauk: Sastri Nagar – 1st to 12th Streets; Kilpauk Police Quarters SS, Parts of PH Road – Door Numbers 103 to 116, 120 to 161, 825 to 853, 872 to 941; Parts of Barnaby Road, Madam Lane, Pandaram Lane, Parts of Vellala Street, Flowers Road, Flowers Lane, Dr. Alagappa Road, Audiappa Street, Audiappa Lane, Saravana Perumal Street, Perumal Street, Diwan Rama Road, Lawders Gate Street, G E Koil Street, Kanchi Avenue, Pankajammal Colony, Ramsamy Street, Latangas Road, G E Koil Police Quarters, Gengureddy Road, Gengureddy Lane, Aramuddan Garden and Nehru Park.


AdGuardHome
A network-wide software for blocking ads & tracking.
More information: home page
- Run AdGuard Home:
AdGuardHome
- Run AdGuard Home with a specific config:
AdGuardHome --config path/to/AdGuardHome.yaml
- Set the work directory for data to be stored in:
AdGuardHome --work-dir path/to/directory
- Install or uninstall AdGuard Home as a service:
AdGuardHome --service install|uninstall
- Start the AdGuard Home service:
AdGuardHome --service start
- Reload the configuration for the AdGuard Home service:
AdGuardHome --service reload
- Stop or restart the AdGuard Home service:
AdGuardHome --service stop|restart


Contact Name
City
Country
Is Promoted
Maria Andres
Berlin
Germany
Ana Trujillo
Mexico D.F.
Mexico
Antonio Moreno
Mexico D.F.
Mexico
Thomas Hardy
London
UK


Firewalker95 wrote:cool plug-in :)
But I have a small mistake here:
Inception wrote:Nice plugin, but I've found a bug. The sidebar repeats itself a few times.
Inception wrote:Nice plugin, but I've found a bug. The sidebar repeats itself a few times.


An alternative to manually downloading all required data before running the backtest is to use the ApiDataProvider
in LEAN.
This data provider automatically downloads the required data files when your backtest requests them.
After it downloads a data file, it stores it in your local data directory so that in future runs, it'll not have to download it again.
Follow these steps to use the ApiDataProvider
to automatically download data when needed:
lean backtest "<projectName>" --download-data
to run a local backtest for the project in . / <projectName> and update the Lean configuration to use the ApiDataProvider
.
$ lean backtest "My Project" --download-data 20210322 17:27:46.658 TRACE:: Engine.Main(): LEAN ALGORITHMIC TRADING ENGINE v<IP_ADDRESS> Mode: DEBUG (64bit) 20210322 17:27:46.664 TRACE:: Engine.Main(): Started 5:27 PM Successfully ran 'My Project' in the 'backtesting' environment and stored the output in 'My Project/backtests/2021-03-22_18-51-28'
--download-data
flag updates your Lean configuration.
This means that you only need to use the flag once, all future backtests will automatically use the ApiDataProvider
.
Follow these steps to revert the Lean configuration changes so that it uses only local data again:
lean backtest "<projectName>" --data-provider Local
to run a local backtest for the project in . / <projectName> and update the Lean configuration to only use local data.
$ lean backtest "My Project" --data-provider Local 20210322 17:27:46.658 TRACE:: Engine.Main(): LEAN ALGORITHMIC TRADING ENGINE v<IP_ADDRESS> Mode: DEBUG (64bit) 20210322 17:27:46.664 TRACE:: Engine.Main(): Started 5:27 PM Successfully ran 'My Project' in the 'backtesting' environment and stored the output in 'My Project/backtests/2021-03-22_18-51-28'
--data-provider
option updates your Lean configuration.
This means that you only need to use the option once, all future backtests will automatically use the newly configured data provider.
By default the ApiDataProvider
does not have a spending limit and will keep downloading files until your QuantConnect organization runs out of QuantConnect Credit (QCC).
You can use the --data-purchase-limit <value>
option to set the QCC spending limit for the backtest.
All the options documented above are also available on the lean research
command.


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Welcome
Hello,
my name is Petr Stanicek. I'm from the Czech Republic, EU, and I'm a professional UI/UX designer, analyst, web designer and an online application programmer.
From designing complete modern and competitive web sites, to programming libraries for a project, I am able to meet your business needs. I specialize in Javascript, jQuery and AJAX, though I provide a full web design service.
Reference
Content:
Web Design
I've been experienced in design since 1992. Since the early 2000's, I have focused on web design. The majority of my work is in large, long-term projects and special projects. Smaller individual web design projects are not typically filed in my portfolio.
2010
-
Official Army.cz web site
Graphic design for Ministry of Defence and Armed Forces of the Czech Republic.
archived design sketches
2009
-
Official Czech.cz web site (sketch only)
Structure and graphic design for competitive bidding of Foreign Ministry (not used).
-
Avril Lavigne Black Star
web coding (HTML/CSS/JS) (archived screenshot)
-
ColorSchemeDesigner.com
online application for creating color schemes, complete solution
2004–2008
During the years 2004-2008 most of my completed projects were for partners in the USA.
-
Inbox.com
portal solution: webmail, organizer, online storage, photo albums, etc. Complete realization of the client side (JS/HTML/CSS) + portal development cooperation (archived screenshots: 1, 2, 3)
-
Crawler.com
dtto: webmail + portal cooperation
-
Contribution to following projects:
US Directory, Hot Movie Sale, Smart Savings Center, Spyware Terminator, Web Security Guard, Online Vault, Crawler Smileys, Crawler toolbar and moreweb designs, application interfaces, informational architecture, co-designing, product analysis
-
Inbox toolbar
XUL toolbar for Firefox, complete realization
2000–2004
Since the end of 2000 I have worked for the Ringier CZ publishing house, where I created the very first web sites of the titles they published. Blesk.cz was the first and most important, for several years we were among the Czech market leaders. Web sites of other titles and magazines followed, as well as the company web and several purpose projects.
-
Blesk daily
redesigned several times since 2004
-
Reflex magazine
still using my 2004's design
-
ABC – Kids weekly
my design rapidly changed
-
Sport daily
already redesigned
-
Tydenik Televize – TV guide
my original design was partialy changed, the major part – TV guide listing – is still working as originally designed
Other selected projects
-
Radio Free Europe / Radio Liberty (2009)
Analysis and consultations
-
Indos – Internet for Schools Project (2003)
web design for the Czech Ministry of Informatics project
-
Czech Ministry of Informatics (2003)
web design participation
-
Wellstyled.com
my own project, complete realization
-
Dogma W4
my own project for supporting accessible web
- Big Czech Songbook
- "Golden Cut" design of CSS Zen Garden
- A lot of my own web sites, blogs etc.
- Reference: Graphic design
Graphic Design
My designs and graphic style can be judged on existing web sites I created. I also added several pieces of design work in a small design portfolio.
Latest:
- Logo "ZŠ Havlíčkova" – logo for elementary school in Moravské Budějovice, CZ
- Logo "Olles" – logo for Olles.cz, orienteering maps
- Logo "Skrýše 09" – logo of navigation-orienteering contest Skrýše 2009 (Olles.cz)
- Logo "Gurmánka.cz" – logo for gourmet web Gurmanka.cz
- Logo "Česká televize" – not realized redesign of Czech public TV logo (public tender, sketch)
- Logo "Czech republic" – not realized design of Czech Republic logo (public tender, sketch)
Other:
Publicaton
I published lot of articles and blogspots regarding web design, CSS and Javascript. I'm publishing on my own blogs as well as in professional magazines and webzines, mostly in Czech language.
I also wrote couple of books, mostly about CSS. The first one, CSS: The Complete Guide (in Czech only), has been bestseller for more than 6 years (and still selling).
Software
I program mostly in Javascript, I was experienced with PHP server-side aplications, too. Most of my applications are in Czech only, however there are some available in English, too:
- Inbox.com – complete portal application containing webmail, organizer with a calendar, data storage, photo abums etc.
- ColorSchemeDesigner.com – online editor of color schemes. Older versions are still available.
-
JS/jQ: jQuery Plugins
JS libraries and plugins for the jQuery framework are published continuously on my web Wellstyled.com
-
XUL+JS: Inbox toolbar
Firefox add-on, complete realization
-
PHP: Blogging system Bloxxy
I made this databaseless publishing system for my own purpose, and several of my older projects (e.g. the Pixylophone blog) are still running Bloxxy. Currently it's developed by other programmers without my participation.
Professional profile
To make my professional profile easier accesible, I moved it to the social web LinkedIn.
About Me
Content:
Petr Staníček (Pixy)
Professional designer and developer, amateur musician and bardling, dropout typographer, happy father of two beautiful daughters, mathemagician, lazy linguistician, almost professional cook and about 6'5 tall fool. At your service.
Why “Pixy”?
It's my very old nickname. It's originated in early 90's. It had something with "pixels", as far as I remember. Those times I didn't speak english at all, so it wasn't related to pixies. The Pixy comics has also nothing to do with my nickname (in fact I had used my nickname even before the first edition of the comics).
Contacts
To contact me, please prefer email. Thank you.
- Name:
- Petr Staníček ("Pixy")
- Location:
- I live and work near Kladno (Czechia, EU), but I'm not limited to the location. My customers are from around the world.
- E-mail:
-<EMAIL_ADDRESS>=<EMAIL_ADDRESS>- Tel:
- +420 775-749 999 (775-PIXYYY)
- Jabber, GTalk:
-<EMAIL_ADDRESS>- ICQ, AIM:
- pixycz / 571675997
- Skype:
- petr_stanicek (not public)
- www.facebook.com/petr.stanicek
- www.twitter.com/pixycz
- www.linkedin.com/in/petrstanicek


Because I got tired of re-learning how to code this thing every. single. time. I bought a new coin
If you run Home Assistant and you own crypto, this handy bit of kit will generate code to give you a sensor card like the ones above. It will tell you one thing: How much am I making or losing on that crypto I bought? Once installed in your Homeassistant configuration file, it uses the free Coingecko API (thanks, Coingecko!) to fetch the current price of the coin, then does a little math comparing the price you paid and the number of coins you bought. The result is an at-a-glance picture of how your Lambo plans are going. And if your Lambo plans are proceeding nicely, and you find this useful, buy me a coffee. Or send me some Eth or Bitcoin.


Sign Up
Success!
Own your data
With Solid, you're in control of your data; you decide where to keep it and who gets to see it.
Use Any App You Like
Solid data is separate from the apps that use it; switch between apps and keep your data.
Let Data be Free
Free in the sense of freedom! Free yourself from repeated data entry; reuse your data across Solid apps.
Let's hear the Solid team describe what makes Solid so exciting.
Hi there,
Welcome to Solid!
Learn about Solid apps and data storage solutions. (Or, skip ahead to get started.)
Own your data
With Solid, you're in control of your data; you decide where to keep it and who gets to see it.
Use Any App You Like
Solid data is separate from the apps that use it; switch between apps and keep your data.
Let Data be Free
Free in the sense of freedom! Free yourself from repeated data entry; reuse your data across Solid apps.
You're almost there...
Let's hear the Solid team describe what makes Solid so exciting.


Operation Muskaan:
The name of the mission, Operation Muskaan, sums up the cause taken up by Jharkhand Police, which is the only force in the country to run
a state-wide coordinated operation, with its nodal authority being the state's Criminal Investigation Department (CID).
The operation has till now been carried out in two stages and at least 700 children have been rescued by the Jharkhand Police till July 29, 2015.


ASP.NET Boilerplate provides a flexible localization system. Localization texts can be stored in different sources. Even you can use more than one source in same application. ILocalizationSource interface should be implemented for a localization source. Then it is registered to ASP.NET Boilerplate's localization system. There are pre-defined localization sources for XML files and resource files.
Localization texts can be stored in XML files. Content of an XML file is something like that:
<?xml version="1.0" encoding="utf-8" ?>
<localizationDictionary culture="en">
<texts>
<text name="TaskSystem" value="Task System" />
<text name="TaskList" value="Task List" />
<text name="NewTask" value="New Task" />
<text name="Xtasks" value="{0} tasks" />
<text name="AllTasks" value="All tasks" />
<text name="ActiveTasks" value="Active tasks" />
<text name="CompletedTasks" value="Completed tasks" />
<text name="TaskDescription" value="Task description" />
<text name="EnterDescriptionHere" value="Task description" />
<text name="AssignTo" value="Assign to" />
<text name="SelectPerson" value="Select person" />
<text name="CreateTheTask" value="Create the task" />
<text name="TaskUpdatedMessage" value="Task has been successfully updated." />
<text name="TaskCreatedMessage" value="Task {0} has been created successfully." />
</texts>
</localizationDictionary>
XML file must be unicode (UTF-8). A name is used to identify each text. Then a localization source class should be created as shown below:
public class SimpleTaskSystemLocalizationSource : XmlLocalizationSource
{
public SimpleTaskSystemLocalizationSource()
: base("SimpleTaskSystem", HttpContext.Current.Server.MapPath("/Localization/SimpleTaskSystem"))
{
}
}
It's derived from XmlLocalizationSource. A localization source must be a unique name (SimpleTaskSystem here) and a directory path that contains XML files for each language. Here, it's placed Localization/SimpleTaskSystem folder in the web application:
SimpleTaskSystem.xml is the default language (since it does not contains language code). SimpleTaskSystem.tr.xml contains localized texts for Turkish language.
When a text is requested, ASP.NET Boilerplate gets the text from current language's XML file (using Thread.CurrentThread.CurrentUICulture). If it does not exists in current language, it gets from default language's XML file.
Using XML files provides flexibility since they can be easily modified using code and by non experienced users, they can be easily distributed.
Localization text can also be stored in .NET's resource files. We can create a resource file for each language as shown below (Right click to the project, choose add new item then find resources file).
MyTexts.resx contains the default language texts and MyTexts.tr.resx contains texts for Turkish language. When we open MyTexts.resx, we can see all texts:
In this case, ASP.NET Boilerplate uses .NET's built-in resource manager for localization. You should define a localization source for the resource:
public class MyLocalizationSource : ResourceFileLocalizationSource
{
public MyLocalizationSource()
: base("MySource", MyTexts.ResourceManager)
{
}
}
Uniqe name of the source is MySource here. And MyTexts.ResourceManager is a reference to the resource manager to be used to get localized texts.
A custom localization source can be implemented to store texts in different sources such as in a database. You can directly implement the ILocalization interface or you can derive from DictionaryBasedLocalizationSource class to make implementation easier.
Registering the localization source is pretty easy:
LocalizationHelper.RegisterSource<SimpleTaskSystemLocalizationSource>();
This is generally done in initialization step of the module.
After creating a source and register it to the ASP.NET Boilerplate's localization system, texts can be localized easily.
In server side code, you can simply call LocalizationHelper.GetString with source name and text name:
var s1 = LocalizationHelper.GetString("SimpleTaskSystem", "NewTask");
To do not repeat source name always, you can first get the source, then get a string from the source:
var source = LocalizationHelper.GetSource("SimpleTaskSystem");
var s1 = source.GetString("NewTask");
This returns text in the current language. There are also overrides of GetString to get text in different languages.
Localization texts are generally needed in MVC Controller and Views. There is a shortcut for that. See the sample controller below:
public class HomeController : SimpleTaskSystemControllerBase
{
public ActionResult Index()
{
var helloWorldText = L("HelloWorld");
return View();
}
}
L method is used to localize a string. Surely, you must supply a source name. It's done in SimpleTaskSystemControllerBase as shown below:
public abstract class SimpleTaskSystemControllerBase : AbpController
{
protected SimpleTaskSystemControllerBase()
{
LocalizationSourceName = "SimpleTaskSystem";
}
}
Notice that it is derived from AbpController. Thus, you can easily localize texts with L method.
Same L method also exists in views:

<form id="NewTaskForm" role="form">

@L("TaskDescription")
<textarea id="TaskDescription" data-bind="value: task.description" class="form-control" rows="3" placeholder="@L("EnterDescriptionHere")" required></textarea>

@L("AssignTo")
<select id="TaskAssignedPerson" data-bind="options: people, optionsText: 'name', optionsValue: 'id', value: task.assignedPersonId, optionsCaption: '@L("SelectPerson")'" class="form-control"></select>

<button data-bind="click: saveTask" type="submit" class="btn btn-primary">@L("CreateTheTask")</button>
</form>

To make this work, you should derive your views from a base class that sets the source name:
public abstract class SimpleTaskSystemWebViewPageBase : SimpleTaskSystemWebViewPageBase<dynamic>
{
}
public abstract class SimpleTaskSystemWebViewPageBase<TModel> : AbpWebViewPage<TModel>
{
protected SimpleTaskSystemWebViewPageBase()
{
LocalizationSourceName = "SimpleTaskSystem";
}
}
And set this view base class in web.config:
<pages pageBaseType="SimpleTaskSystem.Web.Views.SimpleTaskSystemWebViewPageBase">
All these for controllers and views are ready when you create your solution from one of the ASP.NET Boilerplate templates.
ASP.NET Boilerplate makes possible to use same localization texts in also javascript code. First, you should add dynamic localization scripts to the page:

ASP.NET Boilerplate automatically generates needed javascript code to get localized texts in the client side. Then you can easily get a localized text in javascript as shown below:
var s1 = abp.localization.localize('NewTask', 'SimpleTaskSystem');
NewTask is the text name and SimpleTaskSystem is the source name here. To do not repeat source name, you can first get the source then get the text:
var source = abp.localization.getSource('SimpleTaskSystem');
var s1 = source('NewTask');
ASP.NET Boilerplate provides ability to use different sources for localization. It also provides an infrastructure to use same localization texts both in server and client side code.
XML files and Resource files have own strengths and weaknesses. It's suggested to use XML files for re-usable modules since it will be easy to add new languages for module out of the code. Also, if you use XML, it's suggested to do not sort texts by name. Sort them by creation date. Thus, when someone translates it to another language, he/she can easily see which texts are added newly.
You can also create your own localization source and integrate it with ASP.NET Boilerplate.


Mining Pool Clients
Windows
Ubuntu
FAQ
- Download, extract, and run the poolclient executable.
-
Check your balance by copying the address value from the user interface and pasting it into:
https://yadacoin.io/explorer -
Pool balance and payout history:
https://yadacoin.io/explorer?term=13AYDe1jxvYdAFcrUUKGGNC2ZbECXuN5KK -
Join our discord for help and more information!
https://discord.gg/JEDJaFS


A channel to discuss trading. For useful links and more info click the pinned messages to the right.
100 messages
Before 05-Dec-19 12:00 AM
Hollowman900005-Jun-19 12:32 AM
On coinexchange
Alright05-Jun-19 12:32 AM
that is the current chain
Hollowman900005-Jun-19 12:32 AM
Kitchen Table05-Jun-19 12:32 AM
Should be the KMD one. I didn't even know coinexchange was trading it.
Hollowman900005-Jun-19 12:33 AM
What’s the supply
100MM
Alright05-Jun-19 12:33 AM
2018-12-01 19:15:34 last order on there
no one knows apparently
차미숙05-Jun-19 12:33 AM
Check explorer
I don't think there is many
richardt05-Jun-19 12:33 AM
777,777
2
차미숙05-Jun-19 12:33 AM
James is the big bag hodler
richardt05-Jun-19 12:33 AM
Used to be over 800,000, but I think jl777 burned a bunch his own assets or something along those lines
Kitchen Table05-Jun-19 12:34 AM
Yeah, there are not many since most holder just forgot about it and didn't do the swap.
차미숙05-Jun-19 12:34 AM
James got some drastic measures to reduce supply
richardt05-Jun-19 12:34 AM
I think the unswapped just got added to SuperNET holdings
allbits05-Jun-19 12:34 AM
Adjusted outstanding assets is about 650,000
Kitchen Table05-Jun-19 12:35 AM
That makes since. James created a 1:1 KMD chain and figured that was the ones he burned.
Hollowman900005-Jun-19 12:35 AM
Ah
147 for sale on coinexchange
Kitchen Table05-Jun-19 12:36 AM
I'll be damn. It still uses the Unity name on coinexchange.
Now that is a throw back
Hollowman900005-Jun-19 12:36 AM
That’s some K-T boundary depth hodling
Zero sellers
차미숙05-Jun-19 12:37 AM
Well no need to sell really if you are not stripped in cash
Hollowman900005-Jun-19 12:37 AM
Used to be a very liquid market on Nxt
Tek05-Jun-19 12:37 AM
@actionslacks facebook crypto groups are great for market analysis
the noobs usually reside there
actionslacks05-Jun-19 12:38 AM
yeah it's also great for causing depression
Tek05-Jun-19 12:38 AM
howso?
unless you buy the top with them
Hollowman900005-Jun-19 12:38 AM
Twon!

 They are doing good enough now to not be discord coin channels.
Tek05-Jun-19 12:43 AM
don't even check any progress of the team whatsover
actionslacks05-Jun-19 12:43 AM
yea the ethereum group was kind of entertaining...
Tek05-Jun-19 12:43 AM
I think ETH has one pump left to 0.056
if it doesn't fix scaling by some time after the pump to 0.056
its over for ETH
차미숙05-Jun-19 12:43 AM
I have some eth
Tek05-Jun-19 12:43 AM
same I bought some today
for the pump to 0.056
btc at 7777 when I looked
nice
차미숙05-Jun-19 12:44 AM
There is this thing in crypto investing
If the founder has a really big head, you should probably go all in
Like Jack ma
Nam sayin
Tek05-Jun-19 12:45 AM
lmao
actionslacks05-Jun-19 12:45 AM
I have some eth too. just cause I'm lazy.
차미숙05-Jun-19 12:45 AM
I bet James has really big head
Roger ver created his own Bch shitcoins but the two crypto that is actually used for transfer of value so far is eth and btc
Tek05-Jun-19 12:46 AM
I disagree
I use BCH to transfer value
ETH and BTC fees are way higher than BCH
차미숙05-Jun-19 12:47 AM
That's just for showing off
actionslacks05-Jun-19 12:47 AM
does anyone have MGW?
Tek05-Jun-19 12:47 AM
no its bc BCH is advantagious in transfer fees and exchange withdraw fees are also usually very low for BCH
차미숙05-Jun-19 12:47 AM
Fees are higher because people actually USE them
Tek05-Jun-19 12:47 AM
BCH is being used
the fees wont increase until 32x the amount of BTC users
since its 32mb blocks
check bitinfocharts
차미숙05-Jun-19 12:49 AM
To be used as a liquid shitcoin, you need 1) a crazy ICO hype all over again 2) all exchanges just die to add to their pair
Tek05-Jun-19 12:49 AM
or blochiar
Kitchen Table05-Jun-19 12:49 AM
I think I still have a handful of MGW. They have never paid out anything.
Block explorer and the most powerful API for BTC, ETH, BCH, LTC, DASH, BSV and DOGE that allow you to find, sort and filter transactions and addresses.
차미숙05-Jun-19 12:49 AM
Eth and btc is the only coin that achieved that
Tek05-Jun-19 12:50 AM
ETH should not have been this big honestly. skelly premined many millions
I think the first 70 million are all premined
actionslacks05-Jun-19 12:50 AM
MGW is in the asset flow chart though so I'm thinking it will pay something out at some point
Tek05-Jun-19 12:50 AM
then he did the ICO
and giving away of ETH to friends
Kitchen Table05-Jun-19 12:51 AM
MGW should pay out a portion of DEX shares since it owns a large amount of the DEX asset.


| Package | system.db.schema.oci |
|---|---|
| Inheritance | class COciTableSchema » CDbTableSchema » CComponent |
| Since | 1.0.5 |
| Version | $Id$ |
| Source Code | framework/db/schema/oci/COciTableSchema.php |
| Property | Type | Description | Defined By |
|---|---|---|---|
| columnNames | array | list of column names | CDbTableSchema |
| columns | array | column metadata of this table. | CDbTableSchema |
| foreignKeys | array | foreign keys of this table. | CDbTableSchema |
| name | string | name of this table. | CDbTableSchema |
| primaryKey | string|array | primary key name of this table. | CDbTableSchema |
| rawName | string | raw name of this table. | CDbTableSchema |
| schemaName | string | name of the schema (database) that this table belongs to. | COciTableSchema |
| sequenceName | string | sequence name for the primary key. | CDbTableSchema |
| Method | Description | Defined By |
|---|---|---|
| __call() | Calls the named method which is not a class method. | CComponent |
| __get() | Returns a property value, an event handler list or a behavior based on its name. | CComponent |
| __isset() | Checks if a property value is null. | CComponent |
| __set() | Sets value of a component property. | CComponent |
| __unset() | Sets a component property to be null. | CComponent |
| asa() | Returns the named behavior object. | CComponent |
| attachBehavior() | Attaches a behavior to this component. | CComponent |
| attachBehaviors() | Attaches a list of behaviors to the component. | CComponent |
| attachEventHandler() | Attaches an event handler to an event. | CComponent |
| canGetProperty() | Determines whether a property can be read. | CComponent |
| canSetProperty() | Determines whether a property can be set. | CComponent |
| detachBehavior() | Detaches a behavior from the component. | CComponent |
| detachBehaviors() | Detaches all behaviors from the component. | CComponent |
| detachEventHandler() | Detaches an existing event handler. | CComponent |
| disableBehavior() | Disables an attached behavior. | CComponent |
| disableBehaviors() | Disables all behaviors attached to this component. | CComponent |
| enableBehavior() | Enables an attached behavior. | CComponent |
| enableBehaviors() | Enables all behaviors attached to this component. | CComponent |
| getColumn() | Gets the named column metadata. | CDbTableSchema |
| getColumnNames() | Returns list of column names | CDbTableSchema |
| getEventHandlers() | Returns the list of attached event handlers for an event. | CComponent |
| hasEvent() | Determines whether an event is defined. | CComponent |
| hasEventHandler() | Checks whether the named event has attached handlers. | CComponent |
| hasProperty() | Determines whether a property is defined. | CComponent |
| raiseEvent() | Raises an event. | CComponent |
name of the schema (database) that this table belongs to. Defaults to null, meaning no schema (or the current database).


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About
Parvaah, is the social initiative of K. J. Somaiya College of Engineering. It is inspired by the idea of giving back to the society. Parvaah was started with a mission to send a message with a social cause through festivals and events. Each year KJSCE undertakes social initiatives based on relevant issues in the society. Abhiyantriki having a diverse crowd and a large reach is an ideal platform for promoting social causes. It created awareness amongst the 4000+ students that attended Symphony, and thousands others in various colleges. Parvaah promises to be a platform to reach out to the mass and bring in the change.
Beautification of Ghatkopar Station
In this event, Team Parvaah cleaned and undertook the beautification of Ghatkopar station. The drive was jointly organised and managed by Mumbai First and Making A Difference Foundation as a part of the #HamaraStationHamariShaan initiative. Hamara Station Hamari Shaan is the next big step in beautifying the city of dreams. This initiative is backed by Maharashtra CM Devendra Fadnavis, Ratan N. Tata and Amitabh Bachchan. Ghatkopar station was cleaned and the walls along with the staircase painted to raise awareness about social issues.
Celebrate Christmas and Thanksgiving with orphanage kids
In this event, we planned to visit an orphanage/shelter homes to give away gifts,T-shirts and food to the children. Volunteers will interact and play games with the kids and give them their moment of joy. We plan on providing cakes and ice-creams as a Christmas special. Also, as a Thanksgiving celebration we plan to make thank-you cards for the Indian Army with the help of these children.
Spread Happiness
We plan to take around 150 slum kids to Kidzania theme park where they can play games and have fun. This initiative was brought with a simple intention to spread happiness and make a better world. This initiative spreads a message to everyone about spreading smiles and dream of a happy world.


Conclusion
As we can see the process of selecting an optimal model is complex,iterative and subsequently more intricate.When we see this in applied text analysis the search for the most optimal model follows a common workflow:create a corpus, select a vectorization technique, fit a model and evaluate using cross-validation.At application time it is recommended to select the model with best results based on cross-validation and use it to make predictions.
Few metrics of evaluation in a classification and regression problems are recommended:
- Confusion matrix are generally used only with class output models.
- Gain and Lift chart are mainly concerned to check the rank ordering of the probabilities.
- Root Mean Squared Error (RMSE) is the most popular evaluation metric used in regression problems
- To check model is an overfit or not k-fold cross validation is widely used .If the performance metrics at each of the k times modelling are close to each other and the mean of metric is highest.K-Fold gives us a way to use every single datapoint which can reduce this selection bias to a good extent. Also, K-fold cross validation can be used with any modelling technique.


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« CSS « CSS Reference
The font-style
CSS property allows italic
or oblique
faces to be selected within a
font-family
.
normal
visual
font-style: normal | italic | oblique |
inherit
Italic forms are generally cursive in nature while oblique faces are typically sloped versions of the regular face. Oblique faces can be simulated by artificially sloping the glyphs of the regular face.
normal
within a
font-family
italic
, if that is not available, one labeled oblique
oblique
This paragraph is italic.
This paragraph is oblique.
The above example shows the two font-style
values. The CSS looks like this:
p.italic { font-style:italic } p.oblique { font-style: oblique }
And the HTML looks like this:

This paragraph is italic.

This paragraph is oblique.

| Feature | Firefox (Gecko) | Chrome | Internet Explorer | Opera | Safari | |
|---|---|---|---|---|---|---|
| Basic support | 1.0 | 1.0 (1.7 or earlier) | 1.0 | 1.0 | 3.5 | 1.0 |
| Feature | Firefox Mobile (Gecko) | Android | IE Mobile | Opera Mobile | Safari Mobile |
|---|---|---|---|---|---|
| Basic support | 1.0 (1.9.2) | ? | ? | ? | ? |
font
,
font-family
,
font-size
,
font-size-adjust
,
font-stretch
,
font-style
,
font-variant
,
font-weight
,
@font-face


|
CppNoddy
0.92
|
A quadrature class that takes a function pointer. More...
#include <FnQuadrature.h>
Public Types | |
| typedef void(* | fn_ptr) (const double &, double &) |
| The function pointer associated with this instance. More... | |
Public Member Functions | |
| FnQuadrature (fn_ptr ptr_to_fn, const double &x1, const double &x2, const unsigned &num_of_regions) | |
| Constructor. More... | |
| FnQuadrature (fn_ptr ptr_to_fn, const double &x1, const double &x2, const DenseVector< double > &nodes) | |
| Constructor. More... | |
| void | set_subintervals (const unsigned &n) |
| A set method to define a UNIFORM number of sub intervals. More... | |
| double | Gauss (const int &n) |
| n-point Gauss rule inefficiently written! More... | |
| double | sub_Gauss (const int &n) |
| Evaluate the integral by applying an n-point Gauss rule on each of N sub-intervals. More... | |
| double | trapezium () |
| Quick trapezium summation again for sanity checking. More... | |
A quadrature class that takes a function pointer.
Definition at line 15 of file FnQuadrature.h.
| typedef void(* CppNoddy::FnQuadrature::fn_ptr) (const double &, double &) |
The function pointer associated with this instance.
Definition at line 20 of file FnQuadrature.h.
| CppNoddy::FnQuadrature::FnQuadrature | ( | fn_ptr | ptr_to_fn, |
| const double & | x1, | ||
| const double & | x2, | ||
| const unsigned & | num_of_regions | ||
| ) |
Constructor.
| ptr_to_fn | the function that defines the integrand. |
| x1 | left hand boundary of the domain. |
| x2 | right hand boundary of the domain. |
| num_of_regions | initial number of sub-regions to divide the domain into. |
Definition at line 15 of file FnQuadrature.cpp.
References CppNoddy::Utility::uniform_node_vector().
| CppNoddy::FnQuadrature::FnQuadrature | ( | fn_ptr | ptr_to_fn, |
| const double & | x1, | ||
| const double & | x2, | ||
| const DenseVector< double > & | nodes | ||
| ) |
Constructor.
| ptr_to_fn | the function that defines the integrand. |
| x1 | left hand boundary of the domain. |
| x2 | right hand boundary of the domain. |
| nodes | A vector of nodal positions. |
Definition at line 26 of file FnQuadrature.cpp.
| double CppNoddy::FnQuadrature::Gauss | ( | const int & | n | ) |
n-point Gauss rule inefficiently written!
| n | The number of points. |
Definition at line 40 of file FnQuadrature.cpp.
References f, m, CppNoddy::DenseVector< _Type >::push_back(), CppNoddy::DenseVector< _Type >::scale(), and CppNoddy::DenseVector< _Type >::size().
Referenced by sub_Gauss().
| void CppNoddy::FnQuadrature::set_subintervals | ( | const unsigned & | n | ) |
A set method to define a UNIFORM number of sub intervals.
| n | Number of sub intervals |
Definition at line 36 of file FnQuadrature.cpp.
References CppNoddy::Utility::uniform_node_vector().
Referenced by main().
| double CppNoddy::FnQuadrature::sub_Gauss | ( | const int & | n | ) |
Evaluate the integral by applying an n-point Gauss rule on each of N sub-intervals.
This is inefficient in terms of class instantiation for each sub-interval, but not currently an issue.
| n | The order of the Gauss rule. |
Definition at line 88 of file FnQuadrature.cpp.
References Gauss(), and CppNoddy::DenseVector< _Type >::size().
Referenced by main().
| double CppNoddy::FnQuadrature::trapezium | ( | ) |
Quick trapezium summation again for sanity checking.
Should be essentially equivalent to the 1-point Gauss rule.
Definition at line 106 of file FnQuadrature.cpp.
References h, and CppNoddy::DenseVector< _Type >::size().
Referenced by main().
© 2012
R.E. Hewitt


Author: Vishnu Kannan
Last Updated: 11/16/2015
Status: Pending Review
This proposal is an attempt to come up with a means for accounting disk usage in Kubernetes clusters that are running docker as the container runtime. Some of the principles here might apply for other runtimes too.
As of kubernetes v1.1 clusters become unusable over time due to the local disk becoming full. The kubelets on the node attempt to perform garbage collection of old containers and images, but that doesn’t prevent running pods from using up all the available disk space.
Kubernetes users have no insight into how the disk is being consumed.
Large images and rapid logging can lead to temporary downtime on the nodes. The node has to free up disk space by deleting images and containers. During this cleanup, existing pods can fail and new pods cannot be started. The node will also transition into an OutOfDisk
condition, preventing more pods from being scheduled to the node.
Automated eviction of pods that are hogging the local disk is not possible since proper accounting isn’t available.
Since local disk is a non-compressible resource, users need means to restrict usage of local disk by pods and containers. Proper disk accounting is a prerequisite. As of today, a misconfigured low QoS class pod can end up bringing down the entire cluster by taking up all the available disk space (misconfigured logging for example)
Account for disk usage on the nodes.
Compatibility with the most common docker storage backends - devicemapper, aufs and overlayfs
Provide a roadmap for enabling disk as a schedulable resource in the future.
Provide a plugin interface for extending support to non-default filesystems and storage drivers.
Compatibility with all storage backends. The matrix is pretty large already and the priority is to get disk accounting to on most widely deployed platforms.
Support for filesystems other than ext4 and xfs.
Disk accounting in Kubernetes cluster running with docker is complex because of the plethora of ways in which disk gets utilized by a container.
Disk can be consumed for:
Container images
Container’s writable layer
Container’s logs - when written to stdout/stderr and default logging backend in docker is used.
Local volumes - hostPath, emptyDir, gitRepo, etc.
As of Kubernetes v1.1, kubelet exposes disk usage for the entire node and the container’s writable layer for aufs docker storage driver. This information is made available to end users via the heapster monitoring pipeline.
Image layers are shared between containers (COW) and so accounting for images is complicated.
Image layers will have to be accounted as system overhead.
As of today, it is not possible to check if there is enough disk space available on the node before an image is pulled.
Docker creates a writable layer for every container on the host. Depending on the storage driver, the location and the underlying filesystem of this layer will change.
Any files that the container creates or updates (assuming there are no volumes) will be considered as writable layer usage.
The underlying filesystem is whatever the docker storage directory resides on. It is ext4 by default on most distributions, and xfs on RHEL.
Docker engine provides a pluggable logging interface. Kubernetes is currently using the default logging mode which is local file
. In this mode, the docker daemon stores bytes written by containers to their stdout or stderr, to local disk. These log files are contained in a special directory that is managed by the docker daemon. These logs are exposed via docker logs
interface which is then exposed via kubelet and apiserver APIs. Currently, there is a hard-requirement for persisting these log files on the disk.
Volumes are slightly different from other local disk use cases. They are pod scoped. Their lifetime is tied to that of a pod. Due to this property accounting of volumes will also be at the pod level.
As of now, the volume types that can use local disk directly are ‘HostPath’, ‘EmptyDir’, and ‘GitRepo’. Secretes and Downwards API volumes wrap these primitive volumes. Everything else is a network based volume.
‘HostPath’ volumes map in existing directories in the host filesystem into a pod. Kubernetes manages only the mapping. It does not manage the source on the host filesystem.
In addition to this, the changes introduced by a pod on the source of a hostPath volume is not cleaned by kubernetes once the pod exits. Due to these limitations, we will have to account hostPath volumes to system overhead. We should explicitly discourage use of HostPath in read-write mode.
EmptyDir
, GitRepo
and other local storage volumes map to a directory on the host root filesystem, that is managed by Kubernetes (kubelet). Their contents are erased as soon as the pod exits. Tracking and potentially restricting usage for volumes is possible.
Before we start exploring solutions, let’s get familiar with how docker handles storage for images, writable layer and logs.
On all storage drivers, logs are stored under <docker root dir>/containers/<container-id>/
The default location of the docker root directory is /var/lib/docker
.
Volumes are handled by kubernetes. Caveat: Volumes specified as part of Docker images are not handled by Kubernetes currently.
Container images and writable layers are managed by docker and their location will change depending on the storage driver. Each image layer and writable layer is referred to by an ID. The image layers are read-only. Once saved, existing writable layers can be frozen. Saving feature is not of importance to kubernetes since it works only on immutable images.
Note: Image layer IDs can be obtained by running docker history -q --no-trunc <imagename>
Image layers and writable layers are stored under /var/lib/docker/aufs/diff/<id>
.
The writable layers ID is equivalent to that of the container ID.
Each container and each image gets own block device. Since this driver works at the block level, it is not possible to access the layers directly without mounting them. Each container gets its own block device while running.
Image layers and writable layers are stored under /var/lib/docker/overlay/<id>
.
Identical files are hard-linked between images.
The image layers contain all their data under a root
subdirectory.
Everything under /var/lib/docker/overlay/<id>
are files required for running the container, including its writable layer.
Disk accounting is dependent on the storage driver in docker. A common solution that works across all storage drivers isn’t available.
I’m listing a few possible solutions for disk accounting below along with their limitations.
We need a plugin model for disk accounting. Some storage drivers in docker will require special plugins.
As of today, the partition that is holding docker images is flagged by cadvisor, and it uses filesystem stats to identify the overall disk usage of that partition.
Isolated usage of just image layers is available today using docker history <image name>
.
But isolated usage isn’t of much use because image layers are shared between containers and so it is not possible to charge a single pod for image disk usage.
Continuing to use the entire partition availability for garbage collection purposes in kubelet, should not affect reliability. We might garbage collect more often. As long as we do not expose features that require persisting old containers, computing image layer usage wouldn’t be necessary.
Main goals for images are 1. Capturing total image disk usage 2. Check if a new image will fit on disk.
In case we choose to compute the size of image layers alone, the following are some of the ways to achieve that.
Note that some of the strategies mentioned below are applicable in general to other kinds of storage like volumes, etc.
It is possible to run docker history
and then create a graph of all images and corresponding image layers.
This graph will let us figure out the disk usage of all the images.
Pros * Compatible across storage drivers.
Cons * Requires maintaining an internal representation of images.
Docker handles the upload and download of image layers. It can embed enough information about each layer. If docker is enhanced to expose this information, we can statically identify space about to be occupied by read-only image layers, even before the image layers are downloaded.
A new docker feature (docker pull –dry-run) is pending review, which outputs the disk space that will be consumed by new images. Once this feature lands, we can perform feasibility checks and reject pods that will consume more disk space that what is current availability on the node.
Another option is to expose disk usage of all images together as a first-class feature.
Pros
Works across all storage drivers since docker abstracts the storage drivers.
Less code to maintain in kubelet.
Cons
Not available today.
Requires serialized image pulls.
Metadata files are not tracked.
du
We can list all the image layer specific directories, excluding container directories, and run du
on each of those directories.
Pros:
This is the least-intrusive approach.
It will work off the box without requiring any additional configuration.
Cons:
du
can consume a lot of cpu and memory. There have been several issues reported against the kubelet in the past that were related to du
.
It is time consuming. Cannot be run frequently. Requires special handling to constrain resource usage - setting lower nice value or running in a sub-container.
Can block container deletion by keeping file descriptors open.
Disk quota feature provided by the linux kernel can be used to track the usage of image layers. Ideally, we need project
support for disk quota, which lets us track usage of directory hierarchies using project ids
. Unfortunately, that feature is only available for zfs filesystems. Since most of our distributions use ext4
by default, we will have to use either uid
or gid
based quota tracking.
Both uids
and gids
are meant for security. Overloading that concept for disk tracking is painful and ugly. But, that is what we have today.
Kubelet needs to define a gid for tracking image layers and make that gid or group the owner of /var/lib/docker/[aufs | overlayfs]
recursively. Once this is done, the quota sub-system in the kernel will report the blocks being consumed by the storage driver on the underlying partition.
Since this number also includes the container’s writable layer, we will have to somehow subtract that usage from the overall usage of the storage driver directory. Luckily, we can use the same mechanism for tracking container’s writable layer. Once we apply a different gid
to the container’s writable layer, which is located under /var/lib/docker/<storage_driver>/diff/<container_id>
, the quota subsystem will not include the container’s writable layer usage.
Xfs on the other hand support project quota which lets us track disk usage of arbitrary directories using a project. Support for this feature in ext4 is being reviewed. So on xfs, we can use quota without having to clobber the writable layer’s uid and gid.
Pros:
Cons
Requires updates to default ownership on docker’s internal storage driver directories. We will have to deal with storage driver implementation details in any approach that is not docker native.
Requires additional node configuration - quota subsystem needs to be setup on the node. This can either be automated or made a requirement for the node.
Kubelet needs to perform gid management. A range of gids have to allocated to the kubelet for the purposes of quota management. This range must not be used for any other purposes out of band. Not required if project quota is available.
Breaks docker save
semantics. Since kubernetes assumes immutable images, this is not a blocker. To support quota in docker, we will need user-namespaces along with custom gid mapping for each container. This feature does not exist today. This is not an issue with project quota.
Note: Refer to the Appendix section more real examples on using quota with docker.
Project Quota
Project Quota support for ext4 is currently being reviewed upstream. If that feature lands in upstream sometime soon, project IDs will be used to disk tracking instead of uids and gids.
Devicemapper storage driver will setup two volumes, metadata and data, that will be used to store image layers and container writable layer. The volumes can be real devices or loopback. A Pool device is created which uses the underlying volume for real storage.
A new thinly-provisioned volume, based on the pool, will be created for running container’s.
The kernel tracks the usage of the pool device at the block device layer. The usage here includes image layers and container’s writable layers.
Since the kubelet has to track the writable layer usage anyways, we can subtract the aggregated root filesystem usage from the overall pool device usage to get the image layer’s disk usage.
Linux quota and du
will not work with device mapper.
A docker dry run option (mentioned above) is another possibility.
Docker creates a separate directory for the container’s writable layer which is then overlayed on top of read-only image layers.
Both the previously mentioned options of du
and Linux Quota
will work for this case as well.
Kubelet can use du
to track usage and enforce limits
once disk becomes a schedulable resource. As mentioned earlier du
is resource intensive.
To use Disk quota, kubelet will have to allocate a separate gid per container. Kubelet can reuse the same gid for multiple instances of the same container (restart scenario). As and when kubelet garbage collects dead containers, the usage of the container will drop.
If local disk becomes a schedulable resource, linux quota
can be used to impose request
and limits
on the container writable layer.
limits
can be enforced using hard limits. Enforcing request
will be tricky. One option is to enforce requests
only when the disk availability drops below a threshold (10%). Kubelet can at this point evict pods that are exceeding their requested space. Other options include using soft limits
with grace periods, but this option is complex.
FIXME: How to calculate writable layer usage with devicemapper?
To enforce limits
the volume created for the container’s writable layer filesystem can be dynamically resized, to not use more than limit
. request
will have to be enforced by the kubelet.
Container logs are not storage driver specific. We can use either du
or quota
to track log usage per container. Log files are stored under /var/lib/docker/containers/<container-id>
.
In the case of quota, we can create a separate gid for tracking log usage. This will let users track log usage and writable layer’s usage individually.
For the purposes of enforcing limits though, kubelet will use the sum of logs and writable layer.
In the future, we can consider adding log rotation support for these log files either in kubelet or via docker.
The local disk based volumes map to a directory on the disk. We can use du
or quota
to track the usage of volumes.
There exists a concept called FsGroup
today in kubernetes, which lets users specify a gid for all volumes in a pod. If that is set, we can use the FsGroup
gid for quota purposes. This requires limits
for volumes to be a pod level resource though.
Support for filesystems other than ext4 and xfs like zfs
Support for Btrfs
It should be clear at this point that we need a plugin based model for disk accounting. Support for other filesystems both CoW and regular can be added as and when required. As we progress towards making accounting work on the above mentioned storage drivers, we can come up with an abstraction for storage plugins in general.
This milestone targets exposing the following categories of disk usage from the kubelet - infrastructure (images, sys daemons, etc), containers (log + writable layer) and volumes.
du
works today. Use du
for all the categories and ensure that it works on both on aufs and overlayfs.
Add device mapper support.
Define a storage driver based pluggable disk accounting interface in cadvisor.
Reuse that interface for accounting volumes in kubelet.
Define a disk manager module in kubelet that will serve as a source of disk usage information for the rest of the kubelet.
Ensure that the kubelet metrics APIs (/apis/metrics/v1beta1) exposes the disk usage information. Add an integration test.
Improve user experience by doing whatever is necessary to keep the node running.
NOTE: Out of Resource Killing
design is a prerequisite.
Disk manager will evict pods and containers based on QoS class whenever the disk availability is below a critical level.
Explore combining existing container and image garbage collection logic into disk manager.
Ideally, this phase should be completed before v1.2.
In this milestone, we will add support for quota and make it opt-in. There should be no user visible changes in this phase.
Add gid allocation manager to kubelet
Reconcile gids allocated after restart.
Configure linux quota automatically on startup. Do not set any limits in this phase.
Allocate gids for pod volumes, container’s writable layer and logs, and also for image layers.
Update the docker runtime plugin in kubelet to perform the necessary chown's
and chmod's
between container creation and startup.
Pass the allocated gids as supplementary gids to containers.
Update disk manager in kubelet to use quota when configured.
In this milestone, we will make local disk a schedulable resource.
Finalize volume accounting - is it at the pod level or per-volume.
Finalize multi-disk management policy. Will additional disks be handled as whole units?
Set aside some space for image layers and rest of the infra overhead - node allocable resources includes local disk.
du
plugin triggers container or pod eviction whenever usage exceeds limit.
Quota plugin sets hard limits equal to user specified limits
.
Devicemapper plugin resizes writable layer to not exceed the container’s disk limit
.
Disk manager evicts pods based on usage
- request
delta instead of just QoS class.
Sufficient integration testing to this feature.
The following is a rough outline of the testing I performed to corroborate by prior design ideas.
Test setup information
Testing was performed on GCE virtual machines
All the test VMs were using ext4.
Distribution tested against is mentioned as part of each graph driver.
Tested on Debian jessie
Setup Linux Quota following this tutorial.
Create a new group ‘x’ on the host and enable quota for that group
groupadd -g 9000 x
setquota -g 9000 -a 0 100 0 100
// 100 blocks (4096 bytes each*)
quota -g 9000 -v
// Check that quota is enabled
Create a docker container
docker create -it busybox /bin/sh -c "dd if=/dev/zero of=/file count=10 bs=1M"
8d8c56dcfbf5cda9f9bfec7c6615577753292d9772ab455f581951d9a92d169d
Change group on the writable layer directory for this container
chmod a+s /var/lib/docker/aufs/diff/8d8c56dcfbf5cda9f9bfec7c6615577753292d9772ab455f581951d9a92d169d
chown :x /var/lib/docker/aufs/diff/8d8c56dcfbf5cda9f9bfec7c6615577753292d9772ab455f581951d9a92d169d
Start the docker container
docker start 8d
Check usage using quota and group ‘x’
$ quota -g x -v
Disk quotas for group x (gid 9000):
Filesystem blocks quota limit grace files quota limit grace
/dev/sda1 10248 0 0 3 0 0
Using the same workflow, we can add new sticky group IDs to emptyDir volumes and account for their usage against pods.
Since each container requires a gid for the purposes of quota, we will have to reserve ranges of gids for use by the kubelet. Since kubelet does not checkpoint its state, recovery of group id allocations will be an interesting problem. More on this later.
Track the space occupied by images after it has been pulled locally as follows.
Note: This approach requires serialized image pulls to be of any use to the kubelet.
Create a group specifically for the graph driver
groupadd -g 9001 docker-images
Update group ownership on the ‘graph’ (tracks image metadata) and ‘storage driver’ directories.
chown -R :9001 /var/lib/docker/[overlay | aufs]
chmod a+s /var/lib/docker/[overlay | aufs]
chown -R :9001 /var/lib/docker/graph
chmod a+s /var/lib/docker/graph
Any new images pulled or containers created will be accounted to the docker-images
group by default.
Once we update the group ownership on newly created containers to a different gid, the container writable layer’s specific disk usage gets dropped from this group.
Tested on Ubuntu 15.10.
Overlayfs works similar to Aufs. The path to the writable directory for container writable layer changes.
Setup Linux Quota following this tutorial.
Create a new group ‘x’ on the host and enable quota for that group
groupadd -g 9000 x
setquota -g 9000 -a 0 100 0 100
// 100 blocks (4096 bytes each*)
quota -g 9000 -v
// Check that quota is enabled
Create a docker container
docker create -it busybox /bin/sh -c "dd if=/dev/zero of=/file count=10 bs=1M"
b8cc9fae3851f9bcefe922952b7bca0eb33aa31e68e9203ce0639fc9d3f3c61
Change group on the writable layer’s directory for this container
chmod -R a+s /var/lib/docker/overlay/b8cc9fae3851f9bcefe922952b7bca0eb33aa31e68e9203ce0639fc9d3f3c61b/*
chown -R :9000 /var/lib/docker/overlay/b8cc9fae3851f9bcefe922952b7bca0eb33aa31e68e9203ce0639fc9d3f3c61b/*
Check quota before and after running the container.
$ quota -g x -v
Disk quotas for group x (gid 9000):
Filesystem blocks quota limit grace files quota limit grace
/dev/sda1 48 0 0 19 0 0
Start the docker container
docker start b8
Notice the blocks has changed
```sh
$ quota -g x -v
Disk quotas for group x (gid 9000):
Filesystem blocks quota limit grace files quota limit grace
/dev/sda1 10288 0 0 20 0 0
```
Usage of Linux Quota should be possible for the purposes of volumes and log files.
Devicemapper storage driver in docker uses “thin targets”. Underneath there are two block devices - “data” and “metadata”, using which more block devices are created for containers. More information here.
These devices can be loopback or real storage devices.
The base device has a maximum storage capacity. This means that the sum total of storage space occupied by images and containers cannot exceed this capacity.
By default, all images and containers are created from an initial filesystem with a 10GB limit.
A separate filesystem is created for each container as part of start (not create).
It is possible to resize the container filesystem.
For the purposes of image space tracking, we can
Notice the Pool Name
$ docker info
...
Storage Driver: devicemapper
Pool Name: docker-8:1-268480-pool
Pool Blocksize: 65.54 kB
Backing Filesystem: extfs
Data file: /dev/loop0
Metadata file: /dev/loop1
Data Space Used: 2.059 GB
Data Space Total: 107.4 GB
Data Space Available: 48.45 GB
Metadata Space Used: 1.806 MB
Metadata Space Total: 2.147 GB
Metadata Space Available: 2.146 GB
Udev Sync Supported: true
Deferred Removal Enabled: false
Data loop file: /var/lib/docker/devicemapper/devicemapper/data
Metadata loop file: /var/lib/docker/devicemapper/devicemapper/metadata
Library Version: 1.02.99 (2015-06-20)
$ dmsetup table docker-8\:1-268480-pool
0 209715200 thin-pool 7:1 7:0 128 32768 1 skip_block_zeroing
128 is the data block size
Usage from kernel for the primary block device
$ dmsetup status docker-8\:1-268480-pool
0 209715200 thin-pool 37 441/524288 31424/1638400 - rw discard_passdown queue_if_no_space -
Usage/Available - 31424⁄1638400
Usage in MB = 31424 * 512 * 128 (block size from above) bytes = 1964 MB
Capacity in MB = 1638400 * 512 * 128 bytes = 100 GB
Setup Linux quota for a container as mentioned above.
Update group ownership on the following directories to that of the container group ID created for graphing. Adapting the examples above:
chmod -R a+s /var/lib/docker/**containers**/b8cc9fae3851f9bcefe922952b7bca0eb33aa31e68e9203ce0639fc9d3f3c61b/*
chown -R :9000 /var/lib/docker/**container**/b8cc9fae3851f9bcefe922952b7bca0eb33aa31e68e9203ce0639fc9d3f3c61b/*
Ubuntu 15.10 doesn’t ship with the quota module on virtual machines. Install ‘linux-image-extra-virtual’ package to get quota to work.
Overlay storage driver needs kernels >= 3.18. I used Ubuntu 15.10 to test Overlayfs.
If you use a non-default location for docker storage, change /var/lib/docker
in the examples to your storage location.


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public class Source implements StripeModel, StripePaymentSource
Model for a Sources API object.
@NotNull public WeChat getWeChat()
@NotNull public com.stripe.android.model.Source.Klarna getKlarna()
@Nullable public java.lang.String getId()
Unique identifier for the object.
@Nullable public java.lang.Long getAmount()
A positive integer in the smallest currency unit
(that is, 100 cents for $1.00, or 1 for ¥1,Japanese Yen being a zero-decimal currency) representing the total amount associated withthe source. This is the amount for which the source will be chargeable once ready.Required for single_use
sources.
@Nullable public java.lang.String getClientSecret()
The client secret of the source.
Used for client-side retrieval using a publishable key.
@Nullable public com.stripe.android.model.Source.CodeVerification getCodeVerification()
Information related to the code verification flow.
Present if the source is authenticatedby a verification code (flow
is code_verification
).
@Nullable public java.lang.Long getCreated()
Time at which the object was created.
Measured in seconds since the Unix epoch.
@Nullable public java.lang.String getCurrency()
Three-letter
ISO code for the currency associated withthe source. This is the currency for which the source will be chargeable once ready.Required for single_use
sources.
@Nullable public com.stripe.android.model.Source.Flow getFlow()
The authentication
flow
of the source.flow
is one of redirect
, receiver
, code_verification
, none
.
@Nullable public java.lang.Boolean isLiveMode()
Has the value true if the object exists in live mode or the value false if the object
exists in test mode.
@Nullable public java.util.Map<java.lang.String,java.lang.String> getMetaData()
Set of key-value pairs that you can attach to an object.
This can be useful for storingadditional information about the object in a structured format.
@Nullable public com.stripe.android.model.Source.Owner getOwner()
Information about the owner of the payment instrument that may be used or required by
particular source types.
@Nullable public com.stripe.android.model.Source.Receiver getReceiver()
Information related to the receiver flow.
Present if the source is a receiver (flow is Flow.Receiver).
@Nullable public com.stripe.android.model.Source.Redirect getRedirect()
Information related to the redirect flow.
Present if the source is authenticated by aredirect (flow is Flow.REDIRECT).
@Nullable public com.stripe.android.model.Source.Status getStatus()
The status of the source,
one of canceled
, chargeable
, consumed
, failed
,or pending
. Only chargeable
sources can be used to create a charge.
@Nullable public java.util.Map<java.lang.String,java.lang.Object> getSourceTypeData()
@Nullable public SourceTypeModel getSourceTypeModel()
@NotNull public java.lang.String getType()
The
annotationclass Source.SourceType
of this Source, as one of the enumerated values.If a custom source type has been created, this returns SourceType.UNKNOWN. To getthe raw value of an SourceType.UNKNOWN type, use typeRaw.
annotationclass Source.SourceType
@NotNull public java.lang.String getTypeRaw()
Gets the type of this source as a String.
If it is a known type, this will returna string equal to the annotationclass Source.SourceType
returned from type. Thismethod is not restricted to known types
annotationclass Source.SourceType
@Nullable public com.stripe.android.model.Source.Usage getUsage()
Either
reusable
or single_use
. Whether this source should be reusable or not. Some sourcetypes may or may not be reusable by construction, while others may leave the option atcreation. If an incompatible value is passed, an error will be returned.
@Nullable public SourceOrder getSourceOrder()
Information about the items and shipping associated with the source.
Required fortransactional credit (for example Klarna) sources before you can charge it.
@Nullable public java.lang.String getStatementDescriptor()
Extra information about a source.
This will appear on your customer’s statementevery time you charge the source.
@Nullable public java.lang.String component1()
Unique identifier for the object.
@Nullable public java.lang.Long component2()
A positive integer in the smallest currency unit
(that is, 100 cents for $1.00, or 1 for ¥1,Japanese Yen being a zero-decimal currency) representing the total amount associated withthe source. This is the amount for which the source will be chargeable once ready.Required for single_use
sources.
@Nullable public java.lang.String component3()
The client secret of the source.
Used for client-side retrieval using a publishable key.
@Nullable public com.stripe.android.model.Source.CodeVerification component4()
Information related to the code verification flow.
Present if the source is authenticatedby a verification code (flow
is code_verification
).
@Nullable public java.lang.Long component5()
Time at which the object was created.
Measured in seconds since the Unix epoch.
@Nullable public java.lang.String component6()
Three-letter
ISO code for the currency associated withthe source. This is the currency for which the source will be chargeable once ready.Required for single_use
sources.
@Nullable public com.stripe.android.model.Source.Flow component7()
The authentication
flow
of the source.flow
is one of redirect
, receiver
, code_verification
, none
.
@Nullable public java.lang.Boolean component8()
Has the value true if the object exists in live mode or the value false if the object
exists in test mode.
@Nullable public java.util.Map<java.lang.String,java.lang.String> component9()
Set of key-value pairs that you can attach to an object.
This can be useful for storingadditional information about the object in a structured format.
@Nullable public com.stripe.android.model.Source.Owner component10()
Information about the owner of the payment instrument that may be used or required by
particular source types.
@Nullable public com.stripe.android.model.Source.Receiver component11()
Information related to the receiver flow.
Present if the source is a receiver (flow is Flow.Receiver).
@Nullable public com.stripe.android.model.Source.Redirect component12()
Information related to the redirect flow.
Present if the source is authenticated by aredirect (flow is Flow.REDIRECT).
@Nullable public com.stripe.android.model.Source.Status component13()
The status of the source,
one of canceled
, chargeable
, consumed
, failed
,or pending
. Only chargeable
sources can be used to create a charge.
@Nullable public java.util.Map<java.lang.String,java.lang.Object> component14()
@Nullable public SourceTypeModel component15()
@NotNull public java.lang.String component16()
The
annotationclass Source.SourceType
of this Source, as one of the enumerated values.If a custom source type has been created, this returns SourceType.UNKNOWN. To getthe raw value of an SourceType.UNKNOWN type, use typeRaw.
annotationclass Source.SourceType
@NotNull public java.lang.String component17()
Gets the type of this source as a String.
If it is a known type, this will returna string equal to the annotationclass Source.SourceType
returned from type. Thismethod is not restricted to known types
annotationclass Source.SourceType
@Nullable public com.stripe.android.model.Source.Usage component18()
Either
reusable
or single_use
. Whether this source should be reusable or not. Some sourcetypes may or may not be reusable by construction, while others may leave the option atcreation. If an incompatible value is passed, an error will be returned.
@Nullable public SourceOrder component21()
Information about the items and shipping associated with the source.
Required fortransactional credit (for example Klarna) sources before you can charge it.
@Nullable public java.lang.String component22()
Extra information about a source.
This will appear on your customer’s statementevery time you charge the source.
@NotNull public Source copy(@Nullable java.lang.String id, @Nullable java.lang.Long amount, @Nullable java.lang.String clientSecret, @Nullable com.stripe.android.model.Source.CodeVerification codeVerification, @Nullable java.lang.Long created, @Nullable java.lang.String currency, @Nullable com.stripe.android.model.Source.Flow flow, @Nullable java.lang.Boolean isLiveMode, @Nullable java.util.Map<java.lang.String,java.lang.String> metaData, @Nullable com.stripe.android.model.Source.Owner owner, @Nullable com.stripe.android.model.Source.Receiver receiver, @Nullable com.stripe.android.model.Source.Redirect redirect, @Nullable com.stripe.android.model.Source.Status status, @Nullable java.util.Map<java.lang.String,? extends java.lang.Object> sourceTypeData, @Nullable SourceTypeModel sourceTypeModel, @NotNull java.lang.String type, @NotNull java.lang.String typeRaw, @Nullable com.stripe.android.model.Source.Usage usage, @Nullable WeChat _weChat, @Nullable com.stripe.android.model.Source.Klarna _klarna, @Nullable SourceOrder sourceOrder, @Nullable java.lang.String statementDescriptor)
Model for a Sources API object.
@NotNull public java.lang.String toString()
Model for a Sources API object.
public int hashCode()
Model for a Sources API object.
public boolean equals(@Nullable java.lang.Object p)
Model for a Sources API object.
@JvmStatic @Nullable public static Source fromJson(@Nullable org.json.JSONObject jsonObject)
@JvmStatic @NotNull public static java.lang.String asSourceType(@Nullable java.lang.String sourceType)


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java.lang.Object org.apache.commons.betwixt.strategy.ObjectStringConverter
Strategy class for string <-> object conversions. Implementations of this interface are used by Betwixt to perform string <-> object conversions. This performs only the most basic conversions. Most applications will use a subclass.
It is strongly recommended that (in order to support round tripping)
that objectToString
and stringToObject
are inverse functions.
In other words, given the same flavour, context and type the applying
objectToString to the result of stringToObject should be equal to the
original input.
| Field Summary | |
static java.lang.String |
FLAVOUR_OPTION_NAME
Standard name for option giving flavour |
| Constructor Summary | |
ObjectStringConverter()
|
| Method Summary | |
java.lang.String |
objectToString(java.lang.Object object,
java.lang.Class type,
Context context)
Converts an object to a string representation. |
java.lang.String |
objectToString(java.lang.Object object,
java.lang.Class type,
java.lang.String flavour,
Context context)
Deprecated. 0.7 use objectToString(Object, Class, Context) instead.
The preferred way to support flavours is by setting the
org.apache.commons.betwixt.FLAVOUR option.
This can then be retrieved by calling Context.getOptions() |
java.lang.Object |
stringToObject(java.lang.String value,
java.lang.Class type,
Context context)
Converts a string representation to an object. |
java.lang.Object |
stringToObject(java.lang.String value,
java.lang.Class type,
java.lang.String flavour,
Context context)
Deprecated. 0.7 use stringToObject(String, Class, Context) instead.
The preferred way to support flavours is by setting the
org.apache.commons.betwixt.FLAVOUR option.
This can then be retrieved by calling Context.getOptions() |
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
public static final java.lang.String FLAVOUR_OPTION_NAME
| Constructor Detail |
public ObjectStringConverter()
| Method Detail |
public java.lang.String objectToString(java.lang.Object object, java.lang.Class type, java.lang.String flavour, Context context)
objectToString(Object, Class, Context)
instead.
The preferred way to support flavours is by setting the
org.apache.commons.betwixt.FLAVOUR
option.
This can then be retrieved by calling Context.getOptions()
object
- the object to be converted, possibly nulltype
- the property class of the object, not nullflavour
- a string allow symantic differences in formatting to be communicatedcontext
- the context, not null
public java.lang.Object stringToObject(java.lang.String value, java.lang.Class type, java.lang.String flavour, Context context)
stringToObject(String, Class, Context)
instead.
The preferred way to support flavours is by setting the
org.apache.commons.betwixt.FLAVOUR
option.
This can then be retrieved by calling Context.getOptions()
value
- the String to be convertedtype
- the property class to be returned (if possible), not nullflavour
- a string allow symantic differences in formatting to be communicatedcontext
- the context, not null
public java.lang.String objectToString(java.lang.Object object, java.lang.Class type, Context context)
object
- the object to be converted, possibly nulltype
- the property class of the object, not nullcontext
- the context, not null
public java.lang.Object stringToObject(java.lang.String value, java.lang.Class type, Context context)
value
- the String to be convertedtype
- the property class to be returned (if possible), not nullcontext
- the context, not null
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HTML 5 is a software solution stack that defines the properties and behaviors of web page content by implementing a markup based pattern to it. HTML 5 is the fifth and current major version of the HTML standard, and subsumes XHTML
CSS3 is the latest evolution of the Cascading Style Sheets language and aims at extending CSS2.1. It brings a lot of long-awaited novelties, like rounded corners, shadows, gradients, transitions or animations, as well as new layouts like multi-columns, flexible box or grid layouts.
JavaScript, often abbreviated as JS, is a high-level, interpreted programming language that conforms to the ECMAScript specification. It is a language that is also characterized as dynamic, weakly typed, prototype-based and multi-paradigm


Gateway
BOT
30-Jul-18 12:05 AM
[dscrdeql] <Buddz1993> and make fair more sense to be utilized
[dscrdeql] <Buddz1993> private gump?
[dscrdeql] <c2k> im very interseted to see them put more time into pangea. online poker would send KMD up dramatically if they can pull off getting poker done
[dscrdeql] <CowboyCrypto- Founder> I play poker in my free time
[dscrdeql] <c2k> me too. imagine decentralized poker!
[dscrdeql] <CowboyCrypto- Founder> I hit money on a tournament today
[dscrdeql] <Buddz1993> looool imagine that
[dscrdeql] <Podmaster> Nice you professional?
[dscrdeql] <c2k> how many people would migrate to that
[dscrdeql] <Buddz1993> I would
[dscrdeql] <AndronicusBass-Founder> I'm terrible at poker.
[dscrdeql] <MassimoStyle> LLo
[dscrdeql] <Podmaster> No poker face?
[dscrdeql] <MassimoStyle> Lol
[dscrdeql] <AndronicusBass-Founder> I like blackjack
[dscrdeql] <c2k> poker is like trading. u have to know when to cut your losses
[dscrdeql] <CowboyCrypto- Founder> No not at all lol I played a 5000 guaranteed and hit 1400 today
[dscrdeql] <Buddz1993> you cant be good at everything
[dscrdeql] <Buddz1993> wow
[dscrdeql] <CowboyCrypto- Founder> Got 3rd
[dscrdeql] <CowboyCrypto- Founder> Sorry 1100
[dscrdeql] <Buddz1993> even so
[dscrdeql] <c2k> i got 3rd in my office tournament last yr. lost to a stanford/wharton grad. bastard
[dscrdeql] <Podmaster> Hmm that's odd
[dscrdeql] <Podmaster> I think the ?begin isn't working for me
[dscrdeql] <CowboyCrypto- Founder> I play loose as shit most days unless it’s a long tourney then I play tight for first hour
[dscrdeql] <Buddz1993> didint you get a private dm from the tipsy bot??
[dscrdeql] <Buddz1993> @Podmaster
[dscrdeql] <Podmaster> Nup
[dscrdeql] <CowboyCrypto- Founder> Dm tipsy with ?begin
[dscrdeql] <Podmaster> Might be cause I was in the server before
[dscrdeql] <Podmaster> It asks me to do it in the tipsy begin channel
[dscrdeql] <Podmaster> Which didn't lead to anything
[dscrdeql] <Buddz1993> just message tipsy bot
[dscrdeql] <CowboyCrypto- Founder> @x_AFK -- Tipsy dev (travelling) u round
[dscrdeql] <Podmaster> I did do that
[dscrdeql] <Buddz1993> Idk then
[dscrdeql] <Podmaster> Psst... you need to ?begin in the #tipsy-begin channel wink
[dscrdeql] <Podmaster> Yeah I dunno lol
[dscrdeql] <Buddz1993> so you havent been receiving any rains?
[dscrdeql] <Buddz1993> because you said thanks in the rain channel I thought you were
[dscrdeql] <Podmaster> I left the server for a bit haha
[dscrdeql] <Podmaster> Thanks in advance :D
[dscrdeql] <Buddz1993> ahhh ok
[dscrdeql] <MySoulisNotForSale> poker is more fun
[dscrdeql] <ganjie> thank you
[dscrdeql] <Buddz1993> congrats
[dscrdeql] <x2maano> mornight
[dscrdeql] <x2maano>
[dscrdeql] <Smedley> Is it possible to get a channel dedicated for questions to the founders? You guys are very active on this channel but there is a lot of discussion in this channel and questions get lost.
[dscrdeql] <Buddz1993> Now its my trun im Off to bed
[dscrdeql] <Buddz1993> GN
[dscrdeql] <Buddz1993> :=
[dscrdeql] <MassimoStyle> Good night @Buddz1993
[dscrdeql] <AndronicusBass-Founder> I find as we get questions We just update info in #about-equaliser


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Typealiases
The following typealiases are available globally.
-
The Discovery response received in methods which required a presenter view controller. It is the responsability of the developer to dismiss the web controller. - Parameter controller: The Mobile Connect controller which contains the web view. Should be dismissed by the developer. - Parameter operatorsData: The data received from the Discovery service. Can be nil in case an error occured. - Parameter error: The error which is sent in case the operatorsData is nil.
Declaration
Swift
public typealias DiscoveryResponseBlock = (controller : BaseWebController?, operatorsData : DiscoveryResponse?, error : NSError?) -> Void
Parameters
controller
The Mobile Connect controller which contains the web view. Should be dismissed by the developer.
operatorsData
The data received from the Discovery service. Can be nil in case an error occured.
error
The error which is sent in case the operatorsData is nil.
-
The Discovery response received in methods which do not require a presenter view controller - Parameter operatorsData: The data received from the Discovery service. Can be nil in case an error occured. - Parameter error: The error which is sent in case the operatorsData is nil.
Declaration
Swift
public typealias DiscoveryDataResponse = (operatorsData : DiscoveryResponse?, error : NSError?) -> Void
Parameters
operatorsData
The data received from the Discovery service. Can be nil in case an error occured.
error
The error which is sent in case the operatorsData is nil.
-
The Mobile Connect response received in methods which do not require a presenter view controller - Parameter tokenModel: The data received from the Mobile Connect service. Can be nil in case an error occured. - Parameter error: The error which is sent in case the operatorsData is nil.
Declaration
Swift
public typealias MobileConnectDataResponse = (tokenModel : TokenModel?, error : NSError?) -> Void
Parameters
tokenModel
The data received from the Mobile Connect service. Can be nil in case an error occured.
error
The error which is sent in case the operatorsData is nil.
-
The Mobile Connect response received in methods which require a presenter view controller - Parameter controller: The Mobile Connect controller which contains the web view. Should be dismissed by the developer. - Parameter tokenModel: The data received from the Mobile Connect service. Can be nil in case an error occured. - Parameter error: The error which is sent in case the operatorsData is nil.
Declaration
Swift
public typealias MobileConnectControllerResponse = (controller : BaseWebController?, tokenModel : TokenModel?, error : NSError?) -> Void
Parameters
controller
The Mobile Connect controller which contains the web view. Should be dismissed by the developer.
tokenModel
The data received from the Mobile Connect service. Can be nil in case an error occured.
error
The error which is sent in case the operatorsData is nil.


An initial intra-communicator MPI_COMM_WORLD of all processes the local process can communicate with after initialization (itself included) is defined once MPI_INIT or MPI_INIT_THREAD has been called. In addition, the communicator MPI_COMM_SELF is provided, which includes only the process itself.
The predefined constant MPI_COMM_NULL is the value used for invalid communicator handles.
In a static-process-model implementation of MPI, all processes that participate in the computation are available after MPI is initialized. For this case, MPI_COMM_WORLD is a communicator of all processes available for the computation; this communicator has the same value in all processes. In an implementation of MPI where processes can dynamically join an MPI execution, it may be the case that a process starts an MPI computation without having access to all other processes. In such situations, MPI_COMM_WORLD is a communicator incorporating all processes with which the joining process can immediately communicate. Therefore, MPI_COMM_WORLD may simultaneously represent disjoint groups in different processes.
All MPI implementations are required to provide the MPI_COMM_WORLD communicator. It cannot be deallocated during the life of a process. The group corresponding to this communicator does not appear as a pre-defined constant, but it may be accessed using MPI_COMM_GROUP (see below). MPI does not specify the correspondence between the process rank in MPI_COMM_WORLD and its (machine-dependent) absolute address. Neither does MPI specify the function of the host process, if any. Other implementation-dependent, predefined communicators may also be provided.


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Before Change
def __init__(self, *args, **kwargs):
if not args and not kwargs:
setattr(self, "vertex", pd.DataFrame())
for dic in args:
for k in dic:
After Change
def __init__(self, **kwargs):
if "points" not in kwargs:
raise ValueError("There must be a "points" key in the kwargs")
elif not set(["x", "y", "z"]).issubset(kwargs["points"].columns):
raise ValueError("Points must have x, y and z coordinates")
self.kdtrees = []
self.octrees = []
self.voxelgrids = []
for key in kwargs:
if "kdtree" in key:
self.kdtrees.append(kwargs[key])


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Watch: Pig steals the show during Greek reporter’s live broadcast on floods
Journalist Lazos Mantikos from Greek television channel Antenna TV just couldn't get through his report on the storms and flooding in the town of Kineta, thanks to a pig.
by Trends DeskThere are many unexpected twists and interruptions that television journalists may encounter during live broadcasts, and the latest example of it is a Greek reporter, whose live report was constantly interrupted by a pig.
Journalist Lazos Mantikos from Greek television channel Antenna TV just couldn’t get through his report on the storms and flooding in the town of Kineta, as the pig refused to stop chasing him.
Despite the journalist running in circles to shake off the pig and the cameraperson keeping the camera firmly focussed on him during the live broadcast, Mantikos wasn’t able to say much.

Anchor Giorgos Papadakis initially laughed at the reporter’s predicament, and later apologised for it.
On social media too, people were in splits:
According to local reports, the Greek town saw mudslides from a nearby hillside following torrential rain in southern Europe.