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IT'S TIME TO GET BUSY


Elayna Bird Designs
Projects
About
Welcome to Elayna's Projects!
War
Media Tracker
Spice Girls
Bird Prime
Bowling Score Kata


X
Game Over
Congratulations! You've are smarter than your enemies :)
Select your hero:
Select difficulty level:


Blacksmith:
What brings you to this shabby place?
By the way, I've learned a new skill from our Blacksmith Guild! Now I use a wider variety of crops to make the items you need, my Lord.
Our Dwarves are truly gifted with their hands.. Ha! Oops! Pardon me, my Lord.
If you want me to make something for you, just ask.
Crop Manufacturing


Leipzig Up To Second After Thrashing Koln
by SL InternationalRB Leipzig 4-1 FC Koln
RB Leipzig moved up to second spot on the Bundesliga table after drubbing FC Koln 4-1 at Red Bull Arena.
Timo Werner and Konrad Laimer were on target for Leipzig to complement Emil Forsberg's brace , while Rafael Czichos scored a consolation goal for Koln.
Bayer Leverkusen 1-1 Freiburg
Moussa Diaby salvaged a point for Bayer Leverkusen in their 1-1 draw with Freiburg at Bay Arena on Saturday afternoon.
Lucas Holer grabbed an early goal for Freiburg in the fifth minute but Diaby found the equaliser for Bayer nine minutes before the break to ensure the share of spoils.
Eintracht Frankfurt 0-2 Wolfsburg
Wolfsburg beat Eintracht Frankfurt 2-0 despite playing the entire second half with ten men at Commerzbank Arena.
Wout Weghorst got the opener for Wolfsburg in the 19th minute before the visitors suffered a blow in first-half stoppage time after Marcel Tisserand was dismissed.
However, Joao Victor sealed the three points for them with the second goal 25 minutes before time.
Union Berlin 2-0 Borussia Monchengladbach
Union Berlin pulled off a surprise 2-0 victory over log-leaders Borussia Monchengladbach at Stadion An Der Alten Forsterei.
Anthony Ujah opened the scoring for Union in the 15th minute before Sebastian Andersson sealed the famous victory with the second goal in stoppage time.
Werder Bremen 1-2 Schalke
Schalke claimed a vital win on the road as they edged Werder Bremen 2-1 at Wohninvest Weserstadion.
Amine Harit and Benito Raman gave the hosts a two-goal lead, while Yuya Osako pulled a goal back for Bremen.


Do you have a love for the outdoors, attention to detail, and a strong work ethic? If so, we'd love to talk with you about joining our team! We have opportunities for flexible, part-time work where you can learn valuable skills in irrigation system design, pruning, horticulture, and more.
To enquire about job opportunities, please send your resume and a bit about why you're interested in working for us to skoemmpel@aol.com.


Landing (no grid system; pixel-perfect approach)
Landing (bootstrap grid)
Landing (css grids; systematic approach)
Data table


Example of displaying a WADO-RS RetreiveFrame response using Cornerstone
Enter a WADO-RS RetrieveFrame URL to view it using cornerstone.
NOTE: This is experimental
Image Load Progress:
URL
Download and View


User Guide
Installation
- Clone this repository.
- In the repository, execute `pip install -r requirements.txt`.
Note that due to inconsistencies with how `tensorflow` should be installed,
this package does not define a dependency on `tensorflow` as it will try to install that (which at least on Arch Linux results in an incorrect installation).
Please make sure `tensorflow` is installed as per your systems requirements.
Also, make sure Keras 2.1.3 or higher and OpenCV 3.x is installed.
-
- For Keras model - Download the pretrained weights and save it in /snapshots/keras.
- For tensorflow model get the desired model from here and extract it in /sanpshots/tensorfow
- You can even save custom pre trained model in the respective directory.
Instructions
- Select the COCO object classes for which you need suggestions from the drop-down menu and add them. Or simply click on Add all classes.
- Select the desired model and click on Add model.
- Click on detect button.
- When annotating manually, select the object class from the List and while keep it selected, select the BBox.
- The final annotations can be found in the file annotations.csv in ./annotations/ . Also a xml file will saved.
Usage
For MSCOCO dataset
python main.py
For any other dataset-
First change the labels in config.py (for keras model) or in tf_config.py( for tensorflow model). Then run:
python main.py
Tested on:
- Windows 10
- Linux 16.04
- macOS High Sierra
Join the developers channel for contributions
Slack:
https://join.slack.com/t/annomage/shared_invite/zt-dh4ca9du-4VOcwUMCSNA6lmyG~tNUPg


TravisClient
A Travis v3 API client for Swift 4.x
Installation
- Install with cocoapods:
pod 'TravisClient'
- Install with SPM
.package(url: "https://github.com/IainSmith/TravisClient", from: "0.2.0"),
Quick Usage
import TravisClient
let key: String = "YOUR_TRAVIS_API_KEY"
let client = TravisClient(token: key, host: .org)
client.activeBuilds { (result: Result<Meta<[Build]>, TravisError>) in
/// In swift 4.1 you can subscript directly into the Result
let activeBuildCount: Int? = result[\[Build].count]
let firstBuildPRTitle: String? = result[\.first?.pullRequestTitle]
}
Travis API Concepts.
Read the Travis API documentation for much more detail. TravisClient follows the same naming conventions & concepts from the official api documentation.
Minimal vs Standard Representation.
Each model object has two representations. A standard representation that includes all the attributes and a minimal representation that includes some attributes.
public struct MinimalJob: Codable, Minimal {
public let id: Int
}
public struct Job: Codable {
public let id: Int
public let number: String
public let state: String
// 10 other properties
}
Minimal vs Standard Job Example Travis documentation
If you need more information you can load a standard representation using the client.follow(embed:completion:)
method
let build: Meta<Build>
let minimalJob: Embed<MinimalJob> = build.jobs.first! // don't do this in production code
client.follow(embed: minimalJob) { fullJob in
print(fullJob[\.state])
}
Usage
import TravisClient
let key: String = "YOUR_TRAVIS_API_KEY"
let client = TravisClient(token: key, host: .org)
client.activeBuilds { (result: Result<Meta<[Build]>, TravisError>) in
#if swift(>=4.1)
/// In swift 4.1 you can subscript directly into the Result
let activeBuildCount: Int? = result[\Build.id]
#else
/// In swift 4.0 you need to subscript into the optional value of a result.
let resultBuildNumber: Int? = result.value?[\.id]
#endif
/// You can also switch over the result
switch result {
case success(let builds: Meta<[Build]>):
// Find the number of active builds
builds[\.count])
// Find the jobs associated with this build
guard let job: Embed<MinimalJob> = jobs[\.first] else { return }
// Each API call returns one resource that has a 'standard representation' full object in this case supports hyper media so you can easily load the full object in a second request.
client.follow(job) { (jobResult: Meta<Job>) in
print(jobResult)
}
// Or follow a paginated request
client.follow(builds.pagination?.next) { nextPage in
print(nextPage)
}
case error(let error):
// handle error
print(error)
}
}
Running the tests
# JSON parsing tests
> swift test --filter TravisClientTests.JSONTests
# Hit the travis.org API
> TRAVIS_TOKEN=YOUR_TOKEN_HERE swift test
TODO
- [x] Support paginated requests
- [x] Add User Model
- [x] Add Simple Query parameters
- [ ] Add Stages Model
- [ ] Add more typed sort parameters
- [ ] Support Type safe Eager Loading.


| C++Constructor-class {Rcpp} | R Documentation |
Representation of a C++ constructor
Class "envRefClass"
, directly.
Class ".environment"
, by class "envRefClass", distance 2.
Class "refClass"
, by class "envRefClass", distance 2.
Class "environment"
, by class "envRefClass", distance 3, with explicit coerce.
Class "refObject"
, by class "envRefClass", distance 3.
pointer
:pointer to the internal structure that represent the constructor
class_pointer
:pointer to the internal structure that represent the associated C++ class
nargs
:Number of arguments the constructor expects
signature
:C++ signature of the constructor
docstring
:Short description of the constructor


Parallelization example
Simulation random seed:
Status: {{ status }}
Do big computation
Clear results


Solana Airdrop
Solana Airdrop Wizard
Start
Account
Funds
Addresses
Setup
Airdrop
{{ alertMessage }}
{{ errorMessage }}
Let's start with SOLANA network selection:
public
Network
(required)
Devnet
Testnet
We need to create new or restore solana account to perform airdrop:
Create New Account
or
soon...
Airdrop public key:
{{ account.public }}
Now we must add some funds to airdrop account:
{{ account.public }}
name
Balance
SOL
{{ account.balance }}
Airdrop amount
Request Airdrop
Update Balance
Now we can setup airdrop recipients:
Click Here If You Want to Upload CSV
Airdrop Recipients List* ( ~ {{ recipientsCount }} addresses)
* separate recipients addresses with comma
We need to setup/approve some airdrop math:
Adresses/Recipients count: {{ recipientsCount }}
Budget Total: {{ account.balance }}
Solana fee: {{ solana.fee }}
For each recipient: {{ airdropAmount }}
Perform airdrop and get log:
Start Airdrop
Airdrop Log
{{ log }}


Sample View 1
In reality these would be components
which inherit from ui.view
Sample View 2
Views can be resized, send events and listen to events


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
Cryptoon26-Oct-18 10:16 PM
Hodl!
actionslacks26-Oct-18 10:17 PM
hodl with a way better interest rate than any bank I know of
Cryptoon26-Oct-18 10:20 PM
If you can buy tranches of PE funds you can get sick returns tho
ComputerGenie 👴👴👴26-Oct-18 10:46 PM
I get so angry seeing so many sells not related to negative news or project stagnation.
Then trading and "stores of value" might not be for you. Markets never have been, nor will they ever be, "rational" or guided by news and/or utility alone(edited)
siu - Chainmakers26-Oct-18 11:01 PM
@Dudealus you are just assuming markets should be like a perfect girlfriend
Im sorry to tell you, there is no perfect girlfriend
1
Bull markets you bought in early sure are likely to meet your parents though
Just sayin
I have seen slut markets in crypto, this one is different
Seems like the rebel private catholic school matket became a conservative "no sex till marriage" jehova witness
Elasken26-Oct-18 11:51 PM
Sell KMDICE for arrr or kmd
Vertigo27-Oct-18 01:42 AM
I ran out of money already...
Can't buy no mo
Need to find that whale to lend me some of them bitcoins
ComputerGenie 👴👴👴27-Oct-18 01:43 AM
hasn't used money in years
Vertigo27-Oct-18 01:44 AM
I like that 5.1% thing
1
Got 2 kmd so far
jspook1627-Oct-18 02:39 AM
Yeah. Got like 11 years of it left
Llama27-Oct-18 02:51 AM
Selling KMDICE at multiple rates:
0-5k: 0.4 KMD each
5k-15k: 0.35 KMD each
15k+: 0.325 KMD each
Prices debatable.
Deleted User27-Oct-18 04:33 AM
Sharing info with my mate. Anyone got thoughts or opinions on Quant Network?
tolken27-Oct-18 06:05 AM
Awesome, I just noticed that Komodo is listed on Coinbase, not as something to trade, but under a relatively short list of “discover other assets”
Acura27-Oct-18 06:07 AM
Do you @tolken have a Link for me ?
tolken27-Oct-18 06:11 AM
It’s in the app. From prices, it first lists all of trading coins they support, then there is a “discover more assets” at bottom. Click on that. It looks like it’s more for less just listing top CMC, but still cool to see.
The description of Komodo is “Komodo is a crypto currency” Understatement of the millennium?
Cryptoon27-Oct-18 07:49 AM
Btc still trading in the wedge wonder if we will see some movement when getting closer to weekly candle closing
Get Turtlecoin price, charts, and other cryptocurrency info
bpkdasbaum27-Oct-18 11:55 AM
@tolken coinbase lists the top 50 coins on their site and app under "other assets". kmd is currently sitting at 50, that's why it's listed on coinbase in their list
Coinbase is a secure online platform for buying, selling, transferring, and storing digital currency.
but i saw kmd there a 1 or 2 days ago
siu - Chainmakers27-Oct-18 01:12 PM
they list top 50 CMC coins
KMD oscillates from 48 to 52
so its there sometimes, sometimes its not
jl777c27-Oct-18 02:51 PM
a -0.5% dive?
jl777c27-Oct-18 03:00 PM
half a percent does not make for any diving
1
Meyse27-Oct-18 03:01 PM
they want to promote dex trading so they make it as inaccessible as possible to trade kmd over their own centralized exchange
it is
ComputerGenie 👴👴👴27-Oct-18 03:04 PM
@Deleted User most exchanges just did a blanket setting for equihash, binance might be like trex in that they will change if someone contacts and explains that dPoW protects from ds/51
Im in a wedding tonight and Im reading this. I may have a problem
polycryptoblog28-Oct-18 09:13 AM
Saw this and thought of @Hollowman9000 chili
2
Cryptoon28-Oct-18 09:25 AM
18$ what
jl777c28-Oct-18 09:50 AM
when will the $6500 BTC peg be released?
when it does, it should be like an earthquake that has been holding back for a long time. BTC price is fundamentally unstable. this stability of price is unnatural and appears a giant manipulation
Cryptoon28-Oct-18 10:01 AM
I have been thinking the same
Chart looks very unnatural
A lot of twitter traders are looking at the same triangle that has been forming
Once it breaks up/down it will become a huge self fulfilling prophecy
passcombo.com 🏴☠🏴28-Oct-18 10:06 AM
@jl777c or it was unnatural last 2 yaesr and big players were manipulating it, while now - small players left cant do much ?
Im thinking one of these 2, cant decide which is more probable
Big capital scared escaped for some time, small fishes left and small dont do big waves
Also this can be manipulation - making the value seem stable to get some ETF license or so
jl777c28-Oct-18 11:01 AM
yes! that seems the likely answer
1
fake stability to get ETF license. good theory
watch once it is approved, it will volatalize again
snowdamn28-Oct-18 11:06 AM
"small players left cant do much ?"
yes, but small players would not be able to hold price either
to prevent further dump IOW
ETF take is interesting indeed because since they can't increase Volume they can try to present a stable price
Goldman Sachs-backed Bitcoin security firm, BitGo recently unveiled Wrapped Bitcoin (WBTC) – a Bitcoin ERC20 token. The new token is a collaboration between the firm, Republic Protocol, and Kyber Netw
1
This is so wrong in so many levels.
ComputerGenie 👴👴👴28-Oct-18 11:55 AM
now selling bananas backed by apples
3
3
passcombo.com 🏴☠🏴28-Oct-18 12:04 PM
@jl777c if biggest fishes play nicely (ban/un-ban ETF they could predict few dips and ups and do 2x 2x 2x or so for money withdrawn from stocks)
[ANN] [KMDICE] [dPoW] KMDice - First minable decentralized dice game.
There is a bounty for an instructional video on how to play KMDICE
hastrup28-Oct-18 01:21 PM
WTB JUMBLR Offer DEX
Lieutenant28-Oct-18 01:37 PM
Whale bought two million kmd. Price up by only 30 cents. Very very few.
Llama28-Oct-18 02:40 PM
Selling 26k KMDICE. DM me.(edited)
Tek28-Oct-18 03:08 PM
everythign is losing except KMD
thnx kmdwhale
FishyGuts28-Oct-18 03:31 PM
"We've been mining BTC since 2015" ~Fidelity .
Price volatility will return once ETF's get approved seems likely.
Tek28-Oct-18 03:33 PM
I think it's over for BTC price gain for a whlie
first the other decent coins get gains
Tek28-Oct-18 04:15 PM
whalebro exhausted all sellers and now KMD doosn't come back dow nagain
thnx whale!
actionslacks28-Oct-18 04:43 PM
Now its likely demand for Pirate and other kmd projects driving price growth. If etf gets approved, 2017 will seem tame. Hopefully whalebro is an investor and not a manipulator.
blackjok3r28-Oct-18 04:43 PM
The only reason anyone would buy that much KMD is for voting power


| Group A |
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I am some feature for testing some functionality
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I am some testing scenario with two tags of some functionality
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@high.
@last.
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passed
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I am some feature for testing some functionality
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I am some "testing" scenario of other functionality
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@feature.
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passed
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I am some other feature for testing some functionality
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I am some testing scenario of other functionality
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@feature.
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passed
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I am some other feature for testing some functionality
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I am some testing scenario outline of other functionality
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@feature.
@other.
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passed
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I am some other feature for testing some functionality
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I am some testing scenario outline of other functionality
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@feature.
@this.
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passed
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I am some testing scenario of some functionality
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@high.
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failed
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I am some error (RuntimeError)
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| Group A |
This is a feature with table in step
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I have table in one of my step
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I am some other feature for testing some broken functionality
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I am some failed testing scenario of some functionality
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@scenario.
@screenshot.
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failed
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I am some error (RuntimeError)
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I am some other feature for testing some broken functionality
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I am some undefined testing scenario of some functionality
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@wip.
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undefined
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| Group B |
I am some other feature for testing some broken functionality
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I am some pending testing scenario of some functionality
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@scenario.
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pending
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TODO (Cucumber::Pending)
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I am some other feature for testing some broken functionality
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I am some testing scenario of some functionality
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I am some other testing scenario with watir screenshot
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I am scenario with more steps
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ILTypeDef
Namespace: Microsoft.FSharp.Compiler.AbstractIL
Parent Module: IL
Type Definitions
As for methods there are several important constraints not encoded
in the type definition below, for example that the super class of
an interface type is always None, or that enumerations always
have a very specific form.
Record Fields
Instance members
| Instance member | Description |
IsClass
Signature: bool
|
CompiledName: get_IsClass
|
IsDelegate
Signature: bool
|
CompiledName: get_IsDelegate
|
IsEnum
Signature: bool
|
CompiledName: get_IsEnum
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IsInterface
Signature: bool
|
CompiledName: get_IsInterface
|
IsStructOrEnum
Signature: bool
|
CompiledName: get_IsStructOrEnum
|


"GRACE", MEANS OF an expression not used in Scripture, but employed(1) to denote those institutions ordained by God to be the ordinary channels of grace to the souls of men. These are the Word, Sacraments, and Prayer. (2.) But in popular language the expression is used in a wider sense to denote those exercises in which we engage for the purpose of obtaining spiritual blessing; as hearing the gospel, reading the Word, meditation, self-examination, Christian conversation, etc.
"GRACE", MEANS OF an expression not used in Scripture, but employed(1) to denote those institutions ordained by God to be the ordinary channels of grace to the souls of men. These are the Word, Sacraments, and Prayer.
(2.) But in popular language the expression is used in a wider sense to denote those exercises in which we engage for the purpose of obtaining spiritual blessing; as hearing the gospel, reading the Word, meditation, self-examination, Christian conversation, etc.


pdreceive(1) pdreceive(1) NAME pdreceive - receive messages from pd on this or a remote machine SYNOPSIS pdreceive port-number [udp|tcp] DESCRIPTION Pdreceive opens a socket (with the specified port number) and waits for messages to arrive from one or more instances of pd(1). Each message received is printed to the standard output with a trailing semicolon. The protocol used is easy to implement and is called FUDI. The port number should agree with the port number of a "netsend" object within pd. The protocol is "tcp" by default; this does a handshake to guarantee that all messages arrive complete and in their correct order; if you are sending messages locally or point-to-point you can often get away with the faster udp protocol instead. You can also use this to get messages from a Max "pdnetsend" object or even just a "pdsend" in another shell. If you're writing another program you're welcome to just grab the sources for pdsend/pdreceive and adapt them to your own ends; they're part of the Pd distribution. SEE ALSO pd(1), pdsend(1) GNU 1996 Mar 20 pdreceive(1)


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1" x 5.5" die-cut stickers made with the highest quality materials. Includes 2 with each purchase!
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$10.00
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Hello
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visit
for your next vacation!
Let me change my answers
Find a vacation spot!
Name:
Vacation month:
Favorite landscape:
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Favorite type of tv show:
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Where is my next vacation spot?


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{% load sass_tags %} {% load static %} {% if user.is_authenticated %}
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Let's meet at Starbucks at 11:30. Wdyt?
A new issue has been reported for Argon.
Your posts have been liked a lot.


Plastic film recycling plea to PKC residents
Scheme involving local supermarkets
by Rachel Clark, https://www.dailyrecord.co.uk/authors/rachel-clark/Householders in Perth and Kinross are being encouraged to use plastic film recycling points at their local supermarket.
Every fortnight, eight per cent of the average household general waste bin in Perth and Kinross contains plastic film.
However, a large proportion of this can be taken back to the supermarket for recycling.
Mark Butterworth, head of environmental and consumer services at Perth and Kinross Council, said: “Plastic film seems to take up so much of the general waste bin - and a lot of it is unavoidable.
“Not everything can be recycled at the kerbside, but designated collection points and take back schemes are becoming the norm.
“There are numerous recycling points for glass bottles and jars, textiles, foil and small electricals across Perth and Kinross and the deposit return scheme is on the way.
“Supermarket recycling points for plastic film like the one at Morrisons Perth branch, is just another example of waste that we can get into the habit of diverting from landfill.”
A lot of resources have been used to create the plastic, including oil from the North Sea.
Instead of sending this material to landfill, it can be taken back to the supermarket so it can be made into something new.
Stephanie Duncan, community champion at Morrisons in Perth, said: “To take part, shoppers are encouraged to put a carrier bag aside at home and put in it any empty, clean and dry plastic films.
“When the bag is full, take it for recycling at the same time as your next food shop.”
Morrisons, Asda, Sainsbury’s and Tesco supermarkets now have plastic film and carrier bag recycling points in the entrance of their stores.
This includes all plastic bags except biodegradable or compostable bags, bread bags, breakfast cereal liners, shrink wrap and ring joiners from multi-packs of water and cans, frozen food bags, dry cleaning bags and bags covering new clothing, magazine and newspaper wrappers, bags for loose fruit and vegetables, bubble wrap and low-density polyethylene.
For a full list of recycling points across Perth and Kinross, visit www.pkc.gov.uk/plasticfilm


teamnora.io
about us...
We are a multi-platform team comprising of a network of online developers working togethor through online tools like Github, Sprintly & Cloud9.
projects...
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members...
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{% extends "post/base.html" %} {% block title %} password reset done || {{ block.super }}{% endblock %} {% block content %} {% load crispy_forms_tags %}
Login Form
your new password have been sent to your email


The Game of Life, also known simply as Life, is a cellular automaton devised by the British mathematician John Horton Conway in 1970. The "game" is a zero-player game, meaning that its evolution is determined by its initial state, requiring no further input. One interacts with the Game of Life by creating an initial configuration and observing how it evolves or, for advanced players, by creating patterns with particular properties.
localhost
to test your local implementation!GET
request to the exact endpoint you enter with the following parameters as JSON:
| Name | Type | Description |
|---|---|---|
| steps | integer | The number of generations to iterate at a time. |
| cells | Array | The live cells currently on the board. Each cell has two properties, row and column to signify the row and column numbers the cell occupies. |
The MIT License (MIT)
Copyright (c) 2014 Larry Price<EMAIL_ADDRESS>Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


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Go somewhere


In this Custom element FormattedInput demo the input is restricted from 0 to 1000 (decimal). When the user enters a value whose decimal equivalent is not from 0 to 1000, the Custom element FormattedInput automatically updates the value to the chosen numeral system's equivalent of 0 or 1000 depending on whether the value's decimal equivalent is below 0 or above 1000. That happens on blur event or Enter keypress.


Lyle Troxell
Developer Advocate for wakandaDB
GeekSpeak, KUSP
@lyle
October 25th
JS.everywhere(2013)
Eric Dorf, BFA, DMBA
Lead Sr. UX/UI designer at Autodesk
Jan Borgersen
Manager UI Engineering at Zazzle
Renato Iwashima
Front End Engineer at Yahoo!
@renatoiwa


TL;DR 📖
In this post, I will simulate a minimal labelled survey dataset that can be exported as a SPSS (.SAV) file (with full variable and value labels) in R. I will also attempt to arbitrarily introduce ‘meaningful patterns’ to the dataset such that it can be more effectively used for creating demo examples.
Background
Simulating data is one of the most useful skills to have in R. For one, it is helpful when you’re debugging code, and you want to create a reprex (reproducible example) to ask for help more effectively ( help others help you ).1 However, regardless of whether you’re a researcher or a business analyst, the data associated with your code is likely to be either confidential so you cannot share it on Stack Overflow, or way too large or complex for you to upload anyway. Creating an example dataset from a few lines of code which you can safely share is an effective way to get around this problem.
Data simulation is slightly more tricky with survey datasets, which are characterised by (1) labels on both variable and values/codes, and (2) a large proportion of ordinal / categorical variables.
For instance, a Net Promoter Score (NPS) variable is usually accompanied with the variable label “On a scale of 0-10, how likely are you to recommend X to a friend or family?” (i.e. the actual question asked in a survey), and is itself an instance of an ordinal variable. If you are trying to produce an example that hinges on an issue where labels are relevant, you would also need to simulate the labels as well.
There are also educational reasons for simulating data: it is useful to simulate data to demo an analysis or a function, because this makes it easy for the audience to reproduce the example. For this purpose, it would be especially beneficial if you can simulate a dataset where there you can introduce some arbitrary relationships between the variables, rather than them being completely random (sample()
all the way). Personally, I have in the past found it a pain to simulate datasets which are suited for demo-ing survey related functions, especially when I was working on examples for the {surveytoolbox} package 📦. Hence, this is partly an attempt to simulate a labelled dataset that is minimally sufficient for demonstrating some of the {surveytoolbox} functions.
🏷 For more information specifically on manipulating labels in R, do check out a previous post I’ve written on working with SPSS labels in R.
Getting started
To run this example, we’ll need to load {tidyverse}, {surveytoolbox}, and {haven}. Specifically, I’m using {tidyverse} for its data manipulation functions, {surveytoolbox} for functions to set up variable/value labels, and finally {haven} to export the data as a .SAV file.
Note that {surveytoolbox} is currently not available on CRAN yet, but you can install this by running devtools::install_github("martinctc/surveytoolbox")
. You’ll need {devtools} installed, if you haven’t got it already.
In addition to loading the packages, we will also set the seed2 with set.seed()
to make the simulated numbers reproducible:
Create individual vectors
For the purpose of clarity and ease of debugging, my approach will be to first set up each simulated variable as individual labelled vectors, and then bind them together into a data frame at the end. To adorn variable and value labels to a numeric vector, I will use set_varl()
and set_vall()
from {surveytoolbox} to do these tasks respectively.
I want to create a dataset with 1000 observations, so I will start with creating v_id
as an ID variable running from 1 to 1000, which can simply be generated with the seq()
function.3 I will then use set_varl()
from {surveytoolbox} to set a variable label for the v_id
vector. The second argument of set_varl()
takes in a character vector and assigns it as the variable label of the target variable - super straightforward.
The same goes for v_gender
, but this time I want to also (1) apply an arbitrary probability to the distribution, and (2) give each value in the vector a value label (“Male”, “Female”, “Other”).
To do (1), I pass a numeric vector to the prob
argument to represent the probabilities that 1, 2, and 3 will fall out for n = 1000.
To do (2), I run set_vall()
and pass the desired labels to the value_labels
argument. set_vall()
acccepts a named character vector to be assigned as value labels.
Finally, I run set_varl()
again to make sure that a variable label is present.
## Gender
v_gender <-
sample(x = 1:3,
size = 1000, replace = TRUE,
prob = c(.48, .48, .04)) %>% # arbitrary probability
set_vall(value_labels = c("Male" = 1,
"Female" = 2,
"Other" = 3)) %>%
set_varl("Q1. Gender")
Now that we’ve got our ID variable and a basic grouping variable (gender), let’s also create some mock metric variables.
I want to create a 5-point scale KPI variable (which could represent customer satisfaction or likelihood to recommend). One way to do this is to simply run sample()
again, and do the same thing we did for v_gender
:
## KPI - #1 simple sampling
v_kpi <-
sample(x = 1:5,
size = 1000,
replace = TRUE) %>%
set_vall(value_labels = c("Extremely dissatisfied" = 1,
"Somewhat dissatisfied" = 2,
"Neither" = 3,
"Satisfied" = 4,
"Extremely satisfied" = 5)) %>%
set_varl("Q2. KPI")
Whilst the above approach is straightforward, the downside is that the numbers are likely to look completely random if we try to actually analyse the results - which is what sample()
is supposed to do - but clearly isn’t ideal.
I want to simulate numbers that are more realistic, i.e. data which will form a discernible pattern when grouping and summarising by gender. What I’ll therefore do is to iterate through each number in v_gender
, and sample numbers based on the gender of the ‘respondent’.
The values that are passed below to the prob
argument within sample()
are completely arbitrary, but are designed to generate results where a bigger KPI value is more likely if v_gender == 1
, followed by v_gender == 3
, then v_gender == 2
.
Note that I’ve used map2_dbl()
here (from the {purrr} package, part of {tidyverse}), which “loops” through v_gender
and returns a numeric value for each iteration.
## KPI - #2 gender-dependent sampling
v_kpi <-
v_gender %>%
map_dbl(function(x){
if(x == 1){
sample(1:5,
size = 1,
prob = c(10, 17, 17, 28, 28)) # Sum to 100
} else if(x == 2){
sample(1:5,
size = 1,
prob = c(11, 22, 28, 22, 17)) # Sum to 100
} else {
sample(1:5,
size = 1,
prob = c(13, 20, 20, 27, 20)) # Sum to 100
}
}) %>%
set_vall(value_labels = c("Extremely dissatisfied" = 1,
"Somewhat dissatisfied" = 2,
"Neither" = 3,
"Satisfied" = 4,
"Extremely satisfied" = 5)) %>%
set_varl("Q2. KPI")
To add a level of complexity, let me also simulate a mock NPS variable. One way to do this is to punch in random numbers like how it is done above with v_kpi
, but this will involve a lot more random punching than is desirable for a 11-point scale NPS variable.
I will therefore instead write a custom function called skew_inputs()
that ‘expands’ three arbitrary input numbers into 11 numbers, which will then serve as the probability anchors for my sample()
functions later on.
## Generate skew inputs for sample probability
##
## `value1`, `value2` and `value3`
## generate the skewed probabilities
##
skew_inputs <- function(value1, value2, value3){
all_n <-
c(rep(value1, 7), # 0 - 6
rep(value2, 2), # 7 - 8
rep(value3, 2)) # 9 - 10
return(sort(all_n))
}
## Outcome KPI - NPS
v_nps <-
v_gender %>%
map_dbl(function(x){
if(x == 1){
sample(0:10, size = 1, prob = skew_inputs(1, 1, 8))
} else if(x == 2){
sample(0:10, size = 1, prob = skew_inputs(2, 3, 5))
} else if(x == 3){
sample(0:10, size = 1, prob = skew_inputs(1, 3, 6))
} else {
stop("Error - check x")
}
}) %>%
set_varl("Q3. NPS")
Admittedly that the above procedure isn’t minimal, but note that this is a trade-off to introduce some arbitrary patterns to the data. A ‘quick and dirty’ alternative simulation would simply be to run sample(x = 0:10, size = 1000, replace = TRUE)
for v_nps
.
There is one slight technicality: the so-called NPS question is strictly speaking a likelihood to recommend question which ranges from 0 to 10, and the Net Promoter Score itself is calculated on a recoded version of that question where Detractors (scoring 0 to 6) have to be coded as -100, Passives (scoring 7 to 8) as 0, and Promoters (scoring 9 to 10) as +100. The Net Promoter Score is simply calculated as a mean of those recoded values.
Fortunately, the {surveytoolbox} package comes shipped with a as_nps()
function that does this recoding for you, and also automatically applies the value labels. let’s call this new variable v_nps2
:
Combine vectors
Now that all the individual variables are set up, I can simply combine them all into a tibble in one swift movement4:
Results!
Let’s run a few checks on our dataset to confirm that everything has worked out okay.
The classic {dplyr} glimpse()
:
## Observations: 1,000
## Variables: 5
## $ id <int> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 1...
## $ gender <int+lbl> 2, 2, 1, 2, 2, 1, 1, 2, 1, 2, 1, 1, 2, 2, 1, 1, 2, 2, 2,...
## $ kpi <dbl+lbl> 3, 2, 5, 2, 5, 5, 2, 2, 5, 3, 3, 4, 1, 5, 4, 4, 4, 1, 2,...
## $ nps <dbl> 10, 5, 10, 8, 10, 9, 7, 5, 2, 5, 1, 4, 5, 9, 9, 10, 9, 3, 10...
## $ nps2 <dbl+lbl> 100, -100, 100, 0, 100, 100, 0, -100, -100, -100, -100, ...
Then head()
to see the first five rows:
## # A tibble: 6 x 5
## id gender kpi nps nps2
## <int> <int+lbl> <dbl+lbl> <dbl> <dbl+lbl>
## 1 1 2 [Female] 3 [Neither] 10 100 [Promoter]
## 2 2 2 [Female] 2 [Somewhat dissatisfied] 5 -100 [Detractor]
## 3 3 1 [Male] 5 [Extremely satisfied] 10 100 [Promoter]
## 4 4 2 [Female] 2 [Somewhat dissatisfied] 8 0 [Passive]
## 5 5 2 [Female] 5 [Extremely satisfied] 10 100 [Promoter]
## 6 6 1 [Male] 5 [Extremely satisfied] 9 100 [Promoter]
So it appears that the value labels have been properly attached, and the range of values are what we’d expect. Now what about the “fake patterns”?
Looking at the topline result of the data, we seem to have succeeded in fabricating some sensible patterns in the data. It appears that this company X will need to work harder at winning over its female customers, who have rated them lower on two KPI metrics:
combined_df %>%
group_by(gender) %>%
summarise(n = n_distinct(id),
kpi = mean(kpi),
nps2 = mean(nps2))
## # A tibble: 3 x 4
## gender n kpi nps2
## <int+lbl> <int> <dbl> <dbl>
## 1 1 [Male] 490 3.49 31.0
## 2 2 [Female] 464 3.07 -8.62
## 3 3 [Other] 46 3.15 17.4
Check the labels 🏷🏷🏷
Finally I’d like to share a couple of functions that enable you to explore the labels in a labelled dataset. surveytoolbox::varl_tb()
accepts a labelled data frame, and returns a two-column data frame with the variable name and its corresponding variable label:
## # A tibble: 5 x 2
## var var_label
## <chr> <chr>
## 1 id Record Identifier
## 2 gender Q1. Gender
## 3 kpi Q2. KPI
## 4 nps Q3. NPS
## 5 nps2 Q3X. Recoded NPS
surveytoolbox::data_dict()
takes this further, and shows also the value labels as a third column. This is what effectively what’s typically referred to as a code frame in a market research context:
## var label_var
## 1 gender Q1. Gender
## 2 kpi Q2. KPI
## 3 nps Q3. NPS
## 4 nps2 Q3X. Recoded NPS
## label_val
## 1 Male; Female; Other
## 2 Extremely dissatisfied; Somewhat dissatisfied; Neither; Satisfied; Extremely satisfied
## 3
## 4 Detractor; Passive; Promoter; Missing value
## value
## 1 1; 2; 3
## 2 1; 2; 3; 4; 5
## 3 0; 1; 2; 3; 4; 5; 6; 7; 8; 9; 10
## 4 -100; 0; 100
I would also highly recommend the view_df()
function from {sjPlot}, which exports a similar overview of variables and labels in a nicely formatted HTML table. For huge labelled datasets, this offers a fantastic light-weight way to browse through your variables and labels.
Once we’ve checked all the labels and we’re happy with everything, we can then export our dataset with haven::write_sav()
! If everything’s worked properly, all the labels should appear properly if you choose to open your example dataset in SPSS, or Q:
End notes
I hope you’ve found this vignette useful!
If you ever get a chance to try out {surveytoolbox}, I would really appreciate if you can submit any issues/feedback on GitHub, or get in touch with me directly. I’m looking for collaborators to make the package more user-friendly and powerful, so if you’re interested, please don’t be shy and give me a shout! 😄
Check out this RStudio Community thread to learn more about reprex (the portmanteau reprex is coined by Romain Francois)↩
If you’re not familiar with this concept / approach, I’d recommend checking out this Stack Overflow thread.↩
For those who are more ambitious, I would recommend checking out the {uuid} package for generating proper GUIDs (Globally Unique Identifier). However, this then wouldn’t be minimal, so I would just stick with running a simple
seq()
sequence.↩I shouldn’t need to footnote this, but here’s a Rocky Flintstone tribute for any Belinkers out there. 🤣↩


adaptMCMC: Implementation of a Generic Adaptive Monte Carlo Markov Chain
Sampler
Enables sampling from arbitrary distributions if the log density is known up to a constant; a common situation in the context of Bayesian inference. The implemented sampling algorithm was proposed by Vihola (2012) <doi:10.1007/s11222-011-9269-5> and achieves often a high efficiency by tuning the proposal distributions to a user defined acceptance rate.
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=adaptMCMC
to link to this page.


Jadon Joseph joins Rockets
by Miriam HalpennyThe Kelowna Rockets announced today that they have acquired 20-year-old centre Jadon Joseph from the Moose Jaw Warriors.
Joseph was exchanged for forward Kyle Crosbie, overage forward Kobe Mohr and goaltender James Porter.
“We needed to get a right shot centre-man that can consistently win face-offs,” said Rockets president and GM Bruce Hamilton.
“Kobe was a big part of this deal, they really wanted him back in the trade. James wanted to get back into the league and Crosbie wanted a chance to play more minutes.”
For the Moose Jaw Warriors, Joseph has appeared in 21 games this season, posting 13 points and 21 penalty minutes.
In the last four seasons, he has played in 209 WHL regular season games, collecting 113 points and 120 penalty minutes.
Joseph has also played for Lethbridge, Vancouver and Regina.
He will be making his debut with the Rockets on Tuesday at Prospera Place at 7:05 p.m., against the Edmonton Oil Kings.
To get tickets click here, or call<PHONE_NUMBER>.


Package org.variantsync.studies.evolution.simulation.diff.components
package org.variantsync.studies.evolution.simulation.diff.components
-
ClassDescriptionA FileDiff holds the difference between two versions of a specific file.A FineDiff holds the difference between two versions of a software project.A Hunk represents a changed text block in the difference between two versions of a file.The location of a hunk which is the combination of its location in the source and target file of UNIX diff.An IDiffComponent is a component of the difference between two files (e.g., the difference between two files or the difference between two blocks of text (i.e., a hunk)).A OriginalDiff holds the difference between two versions of a software project.


The 10 most-viewed fake-news stories on Facebook in 2019 were just revealed in a new report — take a look (FB)
by Ben GilbertDrew Angerer/Getty Images
- Facebook is the largest social media service on the planet, with over 2 billion users — over a quarter of the world's population.
- As such, policing Facebook is a tremendous challenge. One of the service's biggest policing issues is with fake news stories, which was a particularly big problem in the US during the 2016 presidential election cycle.
- Despite Facebook's efforts to stop the spread of fake news, the massive social media service is still rife with it: In 2019, the top 100 fake news stories on Facebook were viewed over 150 million times — "enough to reach every registered voter at least once," according to Avaaz, the non-profit that did the study.
- Visit Business Insider's homepage for more stories.
In 2019, many Facebook users saw news posts that claimed President Donald Trump's grandfather was, "a pimp and tax evader," and that his father was a member of the KKK — none of which is true.
Facebook's 2 billion-plus users also had access to a post claiming that Rep. Alexandria Ocasio-Cortez proposed a ban on motorcycles (she didn't), and that House speaker Nancy Pelosi was diverting Social Security funding for the Trump impeachment inquiry (she wasn't).
These are just a few of the most-shared political fake news stories of 2019, according to a new study from the non-profit Avaaz. The top 100 fake news stories on Facebook in 2019 were viewed over 150 million times — "enough to reach every registered voter at least once," according to the report.
Here are the top 10 fake-news stories of 2019:


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Peter Coughlan, Jane Fulton Suri, Katherine Canales
Discuss the use of prototypes as a means of developing products and services, drawing on IDEO practices.
Outlines how prototypes can be a catalyst for engaging people in design activities.


[attributes] --- label: September 2016 update of the WDPA layout: template-resource target_page: categories: - Updates & News is_published: true position: 18 [text social-description] [text_custom summary] The total number of protected area records in the September 2016 release of the WDPA is 230,838comprising of 211,987polygons and 18,851 points. [text resource_link_text] Test link text [text resource_link_url] www.testlink.org [text resource_file_title] [wysiwyg content]
The total number of protected area records in the September 2016 release of the WDPA is 230,838 comprising of 211,987 polygons and 18,851 points.
Falkland Islands (Malvinas): Complete update of protected areas, including 11 new polygon records and 22 points features converted to polygons, two of which were Ramsar sites.
United Arab Emirates: Complete update of protected areas, including 21 new polygon records and eight point features converted to polygons, four of which were Ramsar sites. This update has led to a marked increase in the accuracy of United Arab Emirates data, which now consists entirely of polygons and represents one of the most up-to-date datasets in the Middle East.
WDPA User Manual: We are pleased to announce that the WDPA User Manual has been translated into French and Spanish. Additionally, the Manual has been updated with an appendix on WDPA Data Contributor Agreements (Appendix 2), and has undergone general updates and edits based on user feedback. Version 1.3 of the User Manual is now available in three languages through the geodatabase download above and via the following links:
English: http://wcmc.io/WDPA_Manual
French: http://wcmc.io/WDPA_Manual_FR
Spanish: http://wcmc.io/WDPA_Manual_ES
|
|
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|
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|
Polygon |
|
|
Point |
|
|
|
|
|
Country | Update type | Added | Removed | Updated | Added | Removed | Updated | Point converted to Polygon |
|
|
|
Falkland Islands (Malvinas) | Complete |
11
|
0
|
0
|
0 | 13 | 0 | 22 |
|
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United Arab Emirates | Complete |
21
|
3 |
6
|
0 |
11
|
0
|
8 |
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Total |
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32 | 3 |
6 |
0
|
24 |
0 |
30 |
Added:New feature added in the WDPA (ie. a new WDPAID was created)
Removed : Number of feature removed from the WDPA (ie. a WDPAID was removed from the database)
Updated : Modifications/updates of the geometry or some attributes of existing feature in the WDPA (ie. a feature with an existing WDPAID)
View this as a searchable table
The data set status is defined as either:
1) New data set received, 2) Under review by UNEP-WCMC, 3) Under validation by data provider or 4) Final approval stages.
| Data Set | Status | |
|
Burundi |
Final approval stages |
|
| Cameroon | Final approval stages | |
| Chile | New data set received | |
|
Côte d'Ivoire
|
Final approval stages | |
| Cuba | Final approval stages | |
| Isle of Man |
Final approval stages |
|
| Natura 2000 (EU 28) | Under review by UNEP-WCMC | |
| Jersey | Under validation by data provider | |
| Montserrat | Final approval stages | |
| Tanzania | Final approval stages | |
| WorldHeritage sites | Final approval stages | |
The use of the monthly release data is bound by the
Terms and Conditions of Use of the WDPA.


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Maxwell Munene.


I was at the store today when I had the following question. Suppose that $A$ is a real-valued $n \times m$ matrix. If we measure its operator norm as linear operator from $\mathbb{R}^{m} \longrightarrow \mathbb{R}^{n}$, does it co-incide with its operator norm as a $\mathbb{C}^{m} \longrightarrow \mathbb{C}^{n}$ operator? $ \newcommand{\abs}[1]{| #1 |} \newcommand{\ind}{\mathbf{1}} \newcommand{\norm}[1]{\lVert #1 \rVert} \newcommand{\ip}[2]{\langle #1, #2 \rangle} \newcommand{\R}{\mathbb{R}} \newcommand{\C}{\mathbb{C}} \newcommand{\Z}{\mathbb{Z}} \newcommand{\T}{\mathsf{T}} \newcommand{\Proj}{\mathcal{P}} \newcommand{\Tr}{\mathrm{Tr}} \newcommand{\A}{\mathcal{A}} $
The answer turns out to be yes, which is actually somewhat surprising (although maybe not that surprising) to me. I first thought the answer would be no, that allowing complex inputs could allow you to drive up the norm. Turns out this is not the case. Interestingly, though, the vectors which achieve the operator norm are much richer in the complex case.
Let's set up some notation. We'll fix a $n \times m$ matrix $A$ with real-valued coefficients. Let $\norm{A}_{\R}$ denote the real-valued operator norm, and $\norm{A}_{\C}$ denote the complex-valued operator norm. That is, $$ \norm{A}_{\R} = \sup_{x \in \R^{m} : \norm{x}_2 = 1} \norm{Ax}_{2} \:, \:\: \norm{A}_{\C} = \sup_{x \in \C^{m} : \norm{x}_2 = 1} \norm{Ax}_{2} \:. $$
Lemma: $\norm{A}_{\R} = \norm{A}_{\C}$.
Proof: Put $M = A^\T A$. We'll study the variational form $$ \norm{A}^2_{\C} = \sup_{x \in \C^{m}, \norm{x}_2 = 1} x^* M x \:. $$ Write $x \in \C^{m}$ as $x = a + j b$, where $a,b \in \R^{m}$. Then, $$ \begin{align*} x^* M x &= (a + jb)^* M (a + jb) = (a - jb)^\T M (a + jb) \\ &= a^\T M a + j a^\T M b - jb^\T M a + b^\T M b \\ &= a^\T M a + b^\T M b \:. \end{align*} $$ We have reduced the operator norm to the following real-valued optimization problem $$ \sup_{a,b \in \R^{m}} f(a, b) = a^\T M a + b^\T M b : \norm{a}_2^2 + \norm{b}_2^2 = 1 \:. $$ Now we just use the usual Lagrange multiplier argument. Define $L(a,b,\lambda)$ as $$ L(a,b,\lambda) = a^\T M a + b^\T M b - \lambda(a^\T a + b^\T b - 1) \:. $$ The necessary conditions for optimality are $$ \begin{align*} 0 &= M a - \lambda a \:, \\ 0 &= M b - \lambda b \:, \\ 1 &= a^\T a + b^\T b \:. \end{align*} $$ Hence, $a,b$ have to be eigenvectors of $M$ which correspond to the same eigenvalue. Substituting the necessary conditions back into the objective function, $$ f(a, b) = \lambda a^\T a + \lambda a^\T b = \lambda \:, $$ and so clearly we should pick $\lambda$ to correspond to the maximum eigenvalue of $M$. Hence $\lambda = \norm{A}_{\R}^2$. Furthermore, it can be verified that for any $\alpha \in [0, 1]$ and unit-norm $u, v$ such that $M u = \lambda u$ and $M v = \lambda v$, the vector $$ x = \sqrt{\alpha} u + j \sqrt{1-\alpha} v $$ is unit norm and satisfies $x^* M x = \lambda$. $\square$
The last point in the proof is interesting. Suppose for simplicity that $A$ satisfies $\sigma_1(A) > \sigma_2(A)$. Then there are only two unit vectors which achieve the supremum for $\norm{A}_{\R}$. On the other hand, in the $\norm{A}_{\C}$ case, there is a whole continnum of vectors achieving the supremum.
On a final note, this paper by Holtz and Karow proves this result for general $L^p$ spaces.


GDSC BIT-D Welcomes You All to the world of Open-Source!!
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Palak Bhogra
Hi! I'm an open source contributor.
GNIT, IPU
Rohan Saini
Hi I'm Rohan Saini student of UIET KUK and Front-end web devloper.
UNIVERSITY INSTITUTE OF ENGINEERING AND TECHNOLOGY, KURUKSHETRA UNIVERSITY KURUKSHETRA
Pushkar Dave
Full Stack Web Dev & Deep Learning enthusiast!
Visvesvaraya National Institute of Technology, Nagpur
Akshay Tomar
Budding Programmer!
Amrita Vishwa Vidyapeetham


| Opcode/Instruction | Op/En | 64/32bit Mode Support | CPUID Feature Flag | Description |
|---|---|---|---|---|
|
0F 01 D5 XEND |
A | V/V | RTM | Specifies the end of an RTM code region. |
| Op/En | Operand 1 | Operand2 | Operand3 | Operand4 |
| A | NA | NA | NA | NA |
The instruction marks the end of an RTM code region. If this corresponds to the outermost scope (that is, including this XEND instruction, the number of XBEGIN instructions is the same as number of XEND instructions), the logical processor will attempt to commit the logical processor state atomically. If the commit fails, the logical processor will rollback all architectural register and memory updates performed during the RTM execution. The logical processor will resume execution at the fallback address computed from the outermost XBEGIN instruction. The EAX register is updated to reflect RTM abort information.
XEND executed outside a transactional region will cause a #GP (General Protection Fault).
XEND
IF (RTM_ACTIVE = 0) THEN SIGNAL #GP ELSE RTM_NEST_COUNT-- IF (RTM_NEST_COUNT = 0) THEN Try to commit transaction IF fail to commit transactional execution THEN GOTO RTM_ABORT_PROCESSING; ELSE (* commit success *) RTM_ACTIVE ← 0 FI; FI; FI; (* For any RTM abort condition encountered during RTM execution *) RTM_ABORT_PROCESSING: Restore architectural register state Discard memory updates performed in transaction Update EAX with status RTM_NEST_COUNT ← 0 RTM_ACTIVE ← 0 IF 64-bit Mode THEN RIP ← fallbackRIP ELSE EIP ← fallbackEIP FI; END
None
XEND:
void _xend( void );
None
| #UD |
CPUID.(EAX=7, ECX=0):EBX.RTM[bit 11] = 0. If LOCK or 66H or F2H or F3H prefix is used. |
| #GP(0) | If RTM_ACTIVE = 0. |