Kim Kardashian Released 4 Hilarious '90s-Style Skims Infomercials Starring Kris Jenner
by Chanel VargasKim Kardashian's Skims Solutionwear collection will officially be back in stock on Nov. 20 — but wait, there's more! To promote the restock, Kim enlisted the help of her mom, Kris Jenner, to create a series of '90s-style infomercials that are giving me all the late-night TV flashbacks. The video stars Kris as the host — alongside actors Kyle Richards and Lisa Rinna — promoting the Skims Sculpting Bodysuit, Sculpting Bra, Sculpting High Waist Brief, Solution Short, and Sculpting Short available in sizes XXS to 5XL. There's even a 30-day money-back guarantee!
Check out the Skims website to shop the entire restocked Solutionwear collection (shipping and handling included!) on Nov. 20 at 9 a.m. PST/12 p.m. EST, and see the ridiculously funny Skims infomercials featuring Kim herself ahead.


I'm looking for assistance in manning a DotOrg Pavilion on the upcoming Percona Live conference in Santa Clara.
As you may or may not know, free and open source projects are eligible to ask for a free booth on the Expo hall. This is a good chance to promote one's project.
Of course, someone must stand behind the counter and answer [technical] questions.
I should like to have a booth for common_schema & openark-kit, but am limited in resources -- namely the number of bodies I can occupy simultaneously, just one at this time. Along with some duties I have throughout the conference I do not expect to be able to be present for long periods behind the counter.
Are you familiar with common_schema/openark-kit? Would you like to lend a hand and contribute some hours at the conference?
For a full time attendee I can lend a hand and provide with a free conference pass + my gratitude.
Please comment below if you are willing to commit yourself to this task -- thank you!
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public static final class Job.Builder extends java.lang.Object implements JobParameters
Job
. Retrieved by calling FirebaseJobDispatcher.newJobBuilder()
.| Modifier and Type | Method and Description |
|---|---|
Job.Builder |
addConstraint(int constraint)
Adds the provided constraint to the current list of runtime constraints.
|
Job |
build()
Builds the Job, using the settings provided so far.
|
int[] |
getConstraints()
The runtime constraints applied to this Job.
|
Bundle |
getExtras()
The optional set of user-supplied extras associated with this Job.
|
int |
getLifetime()
The Job's lifetime; how long it should persist for.
|
RetryStrategy |
getRetryStrategy()
The RetryStrategy for the Job.
|
java.lang.String |
getService()
Returns the name of the backing JobService class.
|
java.lang.String |
getTag()
Returns a string identifier for the Job.
|
JobTrigger |
getTrigger()
The Job's Trigger, which decides when the Job is ready to run.
|
TriggerReason |
getTriggerReason() |
boolean |
isRecurring()
Whether the Job should repeat.
|
Job.Builder |
setConstraints(int... constraints)
Sets the Job's runtime constraints.
|
Job.Builder |
setExtras(Bundle extras)
Sets the user-defined extras associated with the Job.
|
Job.Builder |
setLifetime(int lifetime)
Sets the Job's lifetime, or how long it should persist.
|
Job.Builder |
setRecurring(boolean recurring)
Sets whether the job should recur.
|
Job.Builder |
setReplaceCurrent(boolean replaceCurrent)
Sets whether this Job should replace pre-existing Jobs with the same tag.
|
Job.Builder |
setRetryStrategy(RetryStrategy retryStrategy)
Set the RetryStrategy used for the Job.
|
Job.Builder |
setService(java.lang.Class<? extends JobService> serviceClass)
Sets the backing JobService class for the Job.
|
Job.Builder |
setTag(java.lang.String tag)
Sets the unique String tag used to identify the Job.
|
Job.Builder |
setTrigger(JobTrigger trigger)
Sets the Trigger used for the Job.
|
boolean |
shouldReplaceCurrent()
Whether the Job should replace a pre-existing Job with the same tag.
|
public Job.Builder addConstraint(int constraint)
public Job.Builder setReplaceCurrent(boolean replaceCurrent)
public Job build()
public java.lang.String getService()
getService
in interface JobParameters
public Job.Builder setService(java.lang.Class<? extends JobService> serviceClass)
getService()
.public java.lang.String getTag()
getTag
in interface JobParameters
public Job.Builder setTag(java.lang.String tag)
getTag()
.public JobTrigger getTrigger()
getTrigger
in interface JobParameters
public Job.Builder setTrigger(JobTrigger trigger)
getTrigger()
.public int getLifetime()
getLifetime
in interface JobParameters
public Job.Builder setLifetime(int lifetime)
getLifetime()
.public boolean isRecurring()
isRecurring
in interface JobParameters
public Job.Builder setRecurring(boolean recurring)
public int[] getConstraints()
getConstraints
in interface JobParameters
public Job.Builder setConstraints(int... constraints)
getConstraints()
.public Bundle getExtras()
getExtras
in interface JobParameters
public Job.Builder setExtras(Bundle extras)
getExtras()
.public RetryStrategy getRetryStrategy()
getRetryStrategy
in interface JobParameters
public Job.Builder setRetryStrategy(RetryStrategy retryStrategy)
getRetryStrategy()
.public boolean shouldReplaceCurrent()
shouldReplaceCurrent
in interface JobParameters
public TriggerReason getTriggerReason()
getTriggerReason
in interface JobParameters
TriggerReason
that - if non null - describes why the job was triggered.


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Michael graduated from UNC — School of the Arts with his MFA in Screenwriting. Before that, Michael obtained a bachelor’s in Psychology, which he feels helps him better understand the characters in his writing, as well as elements that an audience member may find captivating and emotional. He believes film criticism is essential for helping aspiring and prominent filmmakers improve their craft, and takes inspiration for reviewing from viral YouTube reviewers Chris Stuckman and Jeremy Jahns. Michael recently moved to Los Angeles to get a jump start on his career and hopes to make it into film or TV animation writing. His current favorite films are The Incredibles, Ready or Not, and Do the Right Thing.


Huge procession launches Christmas at Beamish Museum in County Durham
Santa and his sleigh were the least of it as crowds lined up to enjoy a calvalcade of vehicles and marchers of all kinds in the 2019 Beamish Christmas parade
16 Nov 2019, 17:36 by Lesley Oldfield
Father Christmas' Grand Christmas Launch Parade at Beamish Museum(Image: Newcastle Chronicle)
Father Christmas' Grand Christmas Launch Parade at Beamish Museum.(Image: Newcastle Chronicle)
Father Christmas' Grand Christmas Launch Parade at Beamish Museum(Image: Newcastle Chronicle)
Father Christmas' Grand Christmas Launch Parade at Beamish Museum(Image: Newcastle Chronicle)
Father Christmas' Grand Christmas Launch Parade at Beamish Museum(Image: Newcastle Chronicle)
Father Christmas' Grand Christmas Launch Parade at Beamish Museum(Image: Newcastle Chronicle)
Father Christmas' Grand Christmas Launch Parade at Beamish Museum(Image: Newcastle Chronicle)
Father Christmas' Grand Christmas Launch Parade at Beamish Museum(Image: Newcastle Chronicle)
Father Christmas' Grand Christmas Launch Parade at Beamish Museum(Image: Newcastle Chronicle)
Father Christmas' Grand Christmas Launch Parade at Beamish Museum(Image: Newcastle Chronicle)
Father Christmas switches on the Christmas tree lights at Beamish Museum in front of a huge crowd(Image: Newcastle Chronicle)
Father Christmas' Grand Christmas Launch Parade at Beamish Museum(Image: Newcastle Chronicle)
Father Christmas' Grand Christmas Launch Parade at Beamish Museum(Image: Newcastle Chronicle)
Father Christmas' Grand Christmas Launch Parade at Beamish Museum(Image: Newcastle Chronicle)
Father Christmas' Grand Christmas Launch Parade at Beamish Museum(Image: Newcastle Chronicle)
Father Christmas' Grand Christmas Launch Parade at Beamish Museum(Image: Newcastle Chronicle)
Father Christmas' Grand Christmas Launch Parade at Beamish Museum(Image: Newcastle Chronicle)
Father Christmas' Grand Christmas Launch Parade at Beamish Museum(Image: Newcastle Chronicle)
Father Christmas' Grand Christmas Launch Parade at Beamish Museum.(Image: Newcastle Chronicle)


Additional remarks for QuotationLine
To work with quotation lines through the entity services. this is simillar to the sales order line


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
Hollowman900002-Jul-18 06:40 PM
Kids these days
Dafuq is coinex
Back in my day, mintpal was the shiznit
ComputerGenie02-Jul-18 06:45 PM
"Dafuq is coinex"
Some exchange that started in Nov or Dec and likes to pump fake volumes
BlackJesus02-Jul-18 06:46 PM
Naww they are way incentivising trading
They are distributing like 80% of trading revenue to coinex token holders and buying it back in large quantities against BCH BTC and ETH
And burning when they buy
They are doing what binance did, but better
ComputerGenie02-Jul-18 06:47 PM
Unless their "incentive" was 2-for-1, no one is going to convince me that they had a $1billion day with BTC/USDT(edited)
can anyone say:
beat-co-neeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeect
BlackJesus02-Jul-18 06:49 PM
Just saying, I think they found a winning incentive mechanism to attract traders.
And they are the original BCH base exchange.
VIABTC is their parent company.

ComputerGenie02-Jul-18 06:53 PM
hopefully both
sell today buy tomorrow
BlackJesus02-Jul-18 06:54 PM
I'm hoping dead cat. If not the Asics will skyrocket in value
Count on it
ComputerGenie02-Jul-18 06:55 PM
they came out the gate with rocket value
GatewayBOT02-Jul-18 06:59 PM
[slack] <olsas> Which are the "ASICS"?
BlackJesus02-Jul-18 06:59 PM
Yea at peak crypto times s9's we're 5k on resale
Equihash in general will be the most valuable
They are profitable now and easily down -80%
GatewayBOT02-Jul-18 07:00 PM
[slack] <olsas> Equihash?
BlackJesus02-Jul-18 07:00 PM
Very low volume available
Equihash Asics will skyrocket
GatewayBOT02-Jul-18 07:00 PM
[slack] <olsas> Increase in price is on low volume is that right?
BlackJesus02-Jul-18 07:01 PM
They just released this month for the first time
GatewayBOT02-Jul-18 07:01 PM
[slack] <olsas> Low volume indicates dead cat as I understand it.

GatewayBOT02-Jul-18 07:04 PM
[slack] <olsas> Who "released this month for the first time"?
ComputerGenie02-Jul-18 07:05 PM
do what, @olsas?
Hollowman900002-Jul-18 07:05 PM
Z9’s started in the $2k range
Current pricing must be the ultimate dick punch
$850
5.2 months until ROI
I guess we can assume the same for the next batch
850/5.2
$5.40/z9/day
I can still live with it
ComputerGenie02-Jul-18 07:08 PM
"5.2 months until ROI"
1) in the trading room, please refer to "positive ROI" correctly (if you make 1 cent, then you have ROI)
2) where'd you get this ridiculous number?
Do you know that compared to AMD cards; NVIDIA perform better on Equihash algorithm. True, if you own a NVIDIA GPU then pick any Equihash coin from this list and get started with mining.
ComputerGenie02-Jul-18 07:09 PM
at this exact moment (and mining KMD only):
Positive BTC ROI
3.38619653
Positive USD ROI
3.466044219(edited)
in months
@olsas that site is way feked in info
*on
KMD Block Time: 30 Seconds
yeah, no
and it doesn't look like any of their "Block Reward"s subtract centralization fees either
Hollowman900002-Jul-18 07:25 PM
@ComputerGenie used some randomly googled site for equihash profitability
And assumed that the next batch/flood of z9’s would lower profitability In kind
1) profitability of any equipment depends on what coin you mine with it
2) I've yet to see a single site that correctly accounts for KMD NNs in "profitability "
3) why are you still on about mining in #talk-trading ?
Hollowman900002-Jul-18 07:34 PM
Because trading is where I have made my home while preparing to bring justice
Your precious mining information
Gratefully accepted
We will need it
FundazuSafu02-Jul-18 07:36 PM
#talk-trading hasn't been #talk-trading since tommy86 arrived 9 months ago
ComputerGenie02-Jul-18 07:37 PM
what is a "tommy86"?
FundazuSafu02-Jul-18 07:38 PM
fella that used to give meth fueled rants in trading. thought he was a whale, but was only a lamprey.
Hollowman900002-Jul-18 07:38 PM
Adderall
Was probably meth
But claimed it was adderall
FundazuSafu02-Jul-18 07:38 PM
right
ComputerGenie02-Jul-18 07:38 PM
"fella that used to give meth fueled rants in trading." So, @Hollowman9000's alter ego?
1
FundazuSafu02-Jul-18 07:38 PM
the tangents made me think it was meth
Hollowman900002-Jul-18 07:39 PM
Whiskey fuels my tangents
Don’t have much use for Rx grade material
FundazuSafu02-Jul-18 07:40 PM
lol
you talk about it like its plutonium
Hollowman900002-Jul-18 07:41 PM
Hardest substance I ever had to kick was nicotine
FundazuSafu02-Jul-18 07:42 PM
how'd you do it?


Search data, then, now and eventually
A strangely written post by Andreas Gal, Mozilla CTO. In this post, there seems to be some disdain for privacy, which is surprising from someone that high-ranked at Mozilla.
In this post, I'll write a summary, formulate a response and try to move the debate forward.
Apologies in advance, there will be swearing in this post.
Summary
In a first post, Andreas Gal explained that search engines aren't just crawling the web and use algorithms to rank them on sets of words. Search engines also observe which links users click on to figure out which of the proposed results is the most accurate. This data from users weighs a lot when providing answers for the same query to another user later. And it's only natural; at scale and on average, an answer which is good for someone is good for someone else. An answer which is rarely clicked on is rarely the answer people wanted, so no need to put it too high in search results.
The post I'm responding to explains that this "crowdsourced" search data is crucial to building a search engine. It's also crucial to a search engine which would want to compete with Google. BUT! There is a virtuous circle for a search engine which is that if you start gathering this data, you provide better search results, so more users come, you have even better results, etc. And other search engines are somehow doomed to have worse results initially, attract less users, have less of this previous search data and is doomed to loose against Google (Andreas Gal says "vicious circle", but I'm a "glass half-full" type of person :-) ).
Then, the post goes on listing ways search engines could gather data. Most of which have disappeared when Google encrypted searches by default The author of the post seems to regret that time. I do not.
Encrypted search
It goes without saying, but apparently, even the Mozilla CTO needs a reminder: encrypted search is good for the user. From people searches, one can infer what they are going to buy, what worries or concerns them, who they like, who and what they want to know more about. From people searches, one can infer pretty much everything. That's how folks criminals get caught. Plaintext search was absurdly privacy intrusive for people.
Regarding Google decision about encrypting search, the only thing that is reasonable to regret is that it didn't happen sooner.
Let's discuss various points in the post:
Small search engines could partner with ISPs
Search engines with small user bases can acquire search traffic by working with large Internet Service providers (also called ISPs, think Comcast, Verizon, etc.) to capture searches that go from users’ browsers to competing search engines. This is one option that was available in the past to Google’s competitors such as Yahoo and Bing as they attempted to become competitive with Google’s results.
I'm sorry, what? WTF! One thing that outraged everyone in Edward Snowden revelation was the mass surveillance. And one of the things the NSA is doing is that: "capture searches that go from users’ browsers to () search engines.". This is literally tracking people. In France right now everyone is on deck fighting against the government that is trying to impose "black boxes" (that's the term they use, literally) to ISPs so the government can spy on everyone and we're told by Mozilla that "hey, your ISP should leak your search data so competitors to Google can emerge!"
"This is one option that was available in the past" Sure it was. It was also amazingly damaging for the users. This "option" was happening without any user consent. That was a terrible option and I am thankful to Google to have removed it.
Small search engines could partner with top content websites
An alternative to working with ISPs is to work with popular content sites to track where visitors are coming from. In Web lingo this is called a “referer header.” When a user clicks on a link, the browser tells the target site where the user was before (what site “referred” the user). If the user was referred by a search result page, that address contains the query string, making it possible to associate the original search with the result link. Because the vast majority of Web traffic goes to a few thousand top sites, it is possible to reconstruct a pretty good model of what people frequently search for and what results they follow.
"track"; at least we're being honest here.
The referer header is terrible for privacy. You can go as far back as Roy Fielding's thesis (presented in 2000) to be warned about its dangers for privacy. It is terrible enough Brian Smith (who works on Firefox) is working on a plan to ruin it as much as possible at the browser level. Yes, in Firefox!
If I want to see some content website, I don't necessarily want them to know how I came to them. Very much like if I go to a grossery store, maybe I don't want to tell them where I live and the route I took to get there. This information has no reason to be granted without my opt-in. The fact that it's been so is a mistake that is being slowly repaired.
Note that apparently, this information is still available to websites, but in aggregates assuming they accept Google trackers on their site. But in a way, it's only fair. Google has a privileged relationship to the user, why should all websites have access to this relationship? Did the user opt-in to give that information to all websites?
Conclusion on encrypted search
It's good for the user. Search engine competitors cannot see my searches data? Good! I do not want them to! I do not want anyone to see my searches beyond the search engine I choose! Wannabe search engines included!
They want my search data? They should have to ask people and not try to track them, spy on them via partnership with ISPs or top web sites!
 Let's quote the Mozilla Manifesto:
Individuals’ security and privacy on the Internet are fundamental and must not be treated as optional.
...not even for competitors to Google to emerge.
Privacy is not optional.
The last source of large volume of queries
These days, the search box in the browser is essentially the last remaining place where Google’s competitors can access a large volume of search queries. In 2011, Google famously accused Microsoft’s Bing search engine of doing exactly that: logging Google search traffic in Microsoft’s own Internet Explorer browser in order to improve the quality of Bing results. Having almost tripled the market share of Chrome since then, this is something Google has to worry much less about in the future. Its competitors will not be able to use Chrome’s search box to obtain data the way Microsoft did with Internet Explorer in the past.
Google enforces their monopoly on search via their browser which is increasing market share. So sad... Mozilla should really work on a web browser competing with Chrome! ... oh wait!
I really hate myself for being that sarcastic, but I don't get the point of bitching about Google monopoly and the various way they enforce it. Observing and lamenting won't be enough.
It's also largely late and inappropriate to complain about Google monopoly on search thanks to search data given Mozilla has been massively sending such data by contract for at least 6 years and still is in most countries.
Moving the ball forward: how to get search data
Search data is privileged data between the search engine and the user searching. Any way to acquire such data that would be privacy intrusive should be out of question (if nothing else per the Mozilla Manifesto if anyone cares at all about what it means).
Web browser search box?
I guess that could be an option. Obviously, it takes a browser with sufficient market share to have enough search box data. For obvious reasons, it's highly unlikely Microsoft, Google or Yandex will play at this game. We're left with Firefox, Apple and Opera. On mobile, people search too. The mobile search data is controlled by the OS itself as well as the browser. Apple has a major role there too. Let's hope FirefoxOS will get there soon enough. But Apple has made super clear they don't want their business to be about sharing/selling data, so it'd be hard to get them on board.
Assuming user opt-in, Firefox could gather search data and then share this data with search engines. The data could be shared in a privacy preserving manner via differencial privacy. As it turns out, the evil monopolistic Google open sourced software to do exactly this.
Beyond search as we know it
The problem of search data isn't so much that Google owns it all and other search engines don't, it's that users have so little awareness of their existence and even less control over them (cannot choose to share them even within your community, etc.)
Distributed search engines
That's a thing. I've never seen under my radar a solution that looked attractive enough (and even less used "crowdsourced" search data?), but am looking forward to being convinced.
In a distributed search engine, each person has an index and search is performed on other people computers. So the "no monopoly" part is clear. The accuracy and performance story remains to be proven.
Combining the browser search box and distributed search engine
Beyond just sharing the raw data, a web browser could "network" its users. "Unionize" them, maybe, to take a word I read somewhere else about a year ago. The idea of "unionizing" would take the web browser (or OS) to a different level. It wouldn't just be a user agent, but more a community agent.
Today, a web browser is a fairly individualistic software. Your browser history, bookmarks, searches are your own and that's it. These elements are hard if not impossible to share given how browsers are architected. These items are saved for the purpose of syncing across device, but with the assumption the devices all belong to the same individual.
One interesting experiment would be for a browser to add a layer on top of search engines. Don't just drive searches to one (or several?) search engine, but ask a database of knowledge shared within a community. Contribute back the search data to the community database.
Unfortunately, given Mozilla's current business model regarding Firefox, it's unlikely this is going to be tried by them. Sounds doable via an addon, though.
Conclusion
Bitching about Google monopoly thanks to search data is worthless and a bit ironic given Mozilla has lived on money gathered via forwarding such data to Google.
Privacy is more important than the emergence of competing search engines.
If one cares to think beyond the current search engine paradigm, there might be solutions. But given how Mozilla survives today, it's unlikely they'll shoot themselves in the foot. Addon, though?


Wagon rams river’s wall
by Edd ReyesA 31-year-old man was killed when the Mitsubishi Adventure wagon he was driving crashed into the concrete wall of Tullahan river Friday evening along North Luzon Expressway (NLEX) in Valenzuela City.
Aris Gascon of VMN Compound, Bgy. Potrero, Malabon City died on the spot from severe head and body injuries when he was pinned and dragged by his vehicle at the southbound lane of Km. 12 NLEX within the vicinity of Bgy. Gen. T. De Leon.
NLEX investigator Noel Joseph Dela Cruz said the victim was driving his wagon (ZAM-665) when he accidentally hit the wall of Tullahan River Bridge at around 8:40 p.m.


Automatic (local) variables and parameters to functions can either be placed on the stack or in data-space. The default action of the compiler is to place these variables in the internal RAM ( for small model) or external RAM (for Large model). They can be placed on the stack either by using the --stack-auto compiler option or by using the 'reentrant' keyword in the function declaration.
eg
unsigned short foo( short i) reentrant { ... }
Note that when the parameters & local variables are declared in the internal/external ram the functions are non-reentrant. Since stack space on 8051 is limited the 'reentrant' keyword or the --stack-auto option should be used sparingly. Note the reentrant keyword just means that the parameters & local variables will be allocated to the stack, it DOES NOT mean that the function is register bank independent.
When compiled with the default option (i.e. non-reentrant ), local variables can be assigned storage classes and absolute addresses.
eg
unsigned short foo() { xdata unsigned short i; bit bvar; data at 0x31 unsiged short j; ... }
In the above example the variable i will be allocated in the external ram, bvar in bit addressable space and j in internal ram. When compiled with the --stack-auto or when a function is declared as 'reentrant' local variables cannot be assigned storage classes or absolute addresses.
Parameters however are not allowed any storage class, (storage classes for parameters will be ignored), their allocation is governed by the memory model in use , and the reentrancy options.
For non-reentrant functions SDCC will try to reduce internal ram space usage by overlaying parameters and local variables of a function (if possible). Parameters and local variables of a function will be allocated to an overlayable segment if the function has no other function calls and the function is non-reentrant and the memory model is small. If an explicit storage class is specified for a local variable , it will NOT be overplayed.
Note that the compiler (not the linkage editor) makes the decision for overlaying the data items. Functions that are called from an interrupt service routine should be preceded by a #pragma NOOVERLAY if they are not reentrant Along the same lines the compiler does not do any processing with the inline assembler code so the compiler might incorrectly assign local variables and parameters of a function into the overlay segment if the only function call from a function is from inline assembler code, it is safe to use the #pragma NOOVERLAY for functions which call other functions using inline assembler code.
Parameters and Local variables of functions that contain 16 or 32 bit multiplication or division will NOT be overlayed since these are implemented using external functions.
eg.
#pragma SAVE #pragma NOOVERLAY void set_error( unsigned short errcd) { P3 = errcd; } #pragma RESTORE void some_isr () interrupt 2 using 1 { ... set_error(10); ... }
In the above example the parameter errcd for the function set_error would be assigned to the overlayable segment (if the #pragma NOOVERLAY was not present) , this could cause unpredictable runtime behavior. The pragma NOOVERLAY ensures that the parameters and local variables for the function are NOT overlayed.


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You should register a free account and log in if you want to use the whole functions of S-Din. Please attention that when you log in S-Din, we may collect and use some of your information. If your operation on S-Din is considered against biosafety rules, you may be warned. We guarantee that your privacy will be well protected, and won’t be rumoured deliberately. See Terms & Conditions for more details.


The bwana wearing a bright yellow bandana was eating a banana while sitting on the beach. [G|D]
After winning the gymkhana, the rider took his prize iguana to the cabana by the beach to relax. [G|D]
The liana vines growing around the manana tree were used by the villagers to make baskets, while the leaves of the marijuana plant were used for medicinal and recreational purposes. [G|D]
The yogi reached a state of nirvana through the practice of prana control and the consumption of a dried sultana during meditation. [G|D]


Do you want to get out into nature?
Let's go on a trip.
Our mission is make it easier for anyone to explore the wilderness of Ontario, far from the concrete and closer to people and nature.
We'll guide you on a personalized trip to one of Ontario's best outdoor spots. We do multi-day backcountry camping trips in Algonquin Park and day hikes on the Niagara Escarpment. You don't need any experience or equipment, just sunscreen and some curiosity.
We love camping!
Adventure in Algonquin Park - $350-390
Enjoy one of Canada's classic outdoor experiences, a backcountry camping trip in Algonquin Park. Algonquin is Ontario's oldest and largest provincial park. We'll plan and guide you through a trip that fits your comfort level and preferences. Our typical excursion is a 3 day trip that includes three days of canoeing and two nights of camping. The regular price is $390. For a 2.5 day weekend trip where we leave Friday evening and return Sunday evening, the prices is reduced to $350. Beginners are welcome!
What we offer:
- Transportation from downtown Toronto
- Tent, sleeping bags, sleeping pads and other camping equipment
- All meals from lunch on the first day to lunch on the last day
- Canoe rental (2 people in a canoe)
If you want a more customized trip (longer, shorter, during the week...) let us know what you're looking for and we'll do our best to accommodate!
Hiking sounds good!
Snowshoeing through Niagara Vineyards - $65
We're going to explore the Niagara wine region by foot, taking a scenic trail through six vineyards. The trail is an easy walk, and we'll be using snowshoes to make it even more fun! We'll stop in at as many of the wineries as time allows, giving us lots of opportunities to warm up with some local wines.
What we offer:
- Guided day trip through Niagara wineries
- Transportation from downtown Toronto
- Snowshoes
- Flexible schedule
We're open to customizing this plan according to your preferences. Let us know what your interests are and we'll see what we can do!
Our Team
Hello, my name is Daniel
Dani is an economist from Barcelona, Spain. He loves swimming, hiking, and good converations. Last year, he walked for almost 300km on the Camino de Santiago in the north of Spain - in winter!
Dani speaks Catalan, Spanish, English, and a bit of Italian.
Hi, I'm Sharon
Sharon was born in Singapore and grew up in Waterloo, Ontario. She spent many summers camping and canoeing with her family. Her most memorable hike was climbing El Misti in Peru.
Sharon speaks English, Spanish, and French.
Woof woof!
Bowie is originally from Tennesse, USA. He is guaranteed to make you smile. He was rescued from a kill shelter and has since gone on to become the CEO of this company. Stay humble, Bowie.
Bowie speaks Dog and Esperanto.
Sharon and Dani both have a valid Wilderness and Remote First Aid certification from the Red Cross.
Pricing
$350/390
+ HST, per person
Adventure in Algonquin Park
What's included?
- Transportation to and from the park
- Tent, sleeping bags, sleeping pads and other camping equipment
- All meals from lunch on the first day to lunch on the last day
- Canoe rentals (2 people in a canoe)
- All park and camping fees for three days
- Reduced price ($350) if we leave the evening of the first day
$65
+ HST, per person
Snowshoeing through Niagara Wineries
What's included?
- Guided day trip to visit Niagara wineries
- Transportation from downtown Toronto
- Snowshoes
- Flexible schedule
Call us
Build your own custom trip
What's included?
- We'll help you plan your dream trip
- Ask us about our alternative destinations
- Transportation and equipment as needed
- Negotiable pricing
Upcoming Events
1 day: Hiking through Niagara Vineyards
Route:Bruce Trail in Twenty Valley
Date: April 28, 2018
Trip details and tickets1 day: Hiking through Niagara Vineyards
Route:Bruce Trail in Twenty Valley
Date: July 21, 2018
Trip details and tickets1 day: Hiking through Niagara Vineyards
Route:Bruce Trail in Twenty Valley
Date: July 22, 2018
Trip details and ticketsAlgonquin Park canoe adventure
Route:3 days: From Smoke Lake to Parkside Bay
Date: August 4, 2018 - August 6, 2018
Trip details and tickets3 days: Algonquin Park canoe adventure
Route:From Canoe Lake to Baby Joe Lake
Date: August 17, 2018 - August 19, 2018
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I love bringing designs to life in HTML, CSS & Javascript like a scientist with mad formulas.
Designing for the web is a lifestyle. As technology changes so does the challenge.
Love for design and problem solving, UX allows me to dictate the skeleton.
I design a user friendly, intuitive interfaces allowing users to focus on the task.


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Q: How does the whole process work?
A: The main page displays the projects with the icons. Find the project and click on the page will get to the project page with more description.
Q: How long has Eternity Web been building websites?
A: Project Icarus was founded in 2016 for COMP490 , by Team Two. You can learn more on our about page.
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A: As long as you are a student or instructor at CSUN, you will be able to upload your project
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Resources
A short list of resources with an emphasis on knowledge, fonts, icons, colors, and design patterns.
| Resource | Description |
|---|---|
| Massive.Guide | Massive collection of design system links and more |
| Web Field Manual | All things web design and development |
| Human Icons | Over 1000 variable weight icons |
| Entypo Icons | Variable weight icons |
| Google Fonts | Open-source designer web fonts |
| Edge Webfonts | Free fonts from Adobe |
| Coolers | Define your own color palette |
| Web Gradients | CSS gradient colors |
| CSS Gradient | CSS Gradient Color Picker |
| Design Systems | A book by Smashing Magazine |
| Atomic Design: The Book | By Brad Frost |
| Unsplash | Free images |
| Pexels | Free stock photos in one place |


Culture
The influence of the versions of The Nights on world literature
is immense. Writers as diverse as Henry Fielding to Naguib
Mahfouz have alluded to the collection by name in their own
works. Other writers who have been influenced by The Nights
include John Barth, Jorge Luis Borges, Salman Rushdie, Orhan
Pamuk, Goethe, Walter Scott, Thackeray, Wilkie Collins,
Elizabeth Gaskell, Nodier, Flaubert, Marcel Schwob, Stendhal,
Dumas, Gérard de Nerval, Gobineau, Pushkin, Tolstoy,
Hofmannsthal, Conan Doyle, W. B. Yeats, H. G. Wells, Cavafy,
Calvino, Georges Perec, H. P. Lovecraft, Marcel Proust, A. S.
Byatt and Angela Carter.
Various characters from this epic have themselves become
cultural icons in Western culture, such as Aladdin, Sinbad
and Ali Baba. Part of its popularity may have sprung from
improved standards of historical and geographical knowledge.
The marvelous beings and events typical of fairy tales seem
less incredible if they are set further "long ago" or farther
"far away"; this process culminates in the fantasy world having
little connection, if any, to actual times and places. Several
elements from Arabian mythology are now common in modern fantasy,
such as genies, bahamuts, magic carpets, magic lamps, etc. When
L. Frank Baum proposed writing a modern fairy tale that banished
stereotypical elements, he included the genie as well as the
dwarf and the fairy as stereotypes to go.
In 1982, the International Astronomical Union (IAU) began
naming features on Saturn's moon Enceladus after characters
and places in Burton's translation because "its surface
is so strange and mysterious that it was given the Arabian
Nights as a name bank, linking fantasy landscape with a
literary fantasy".
In Arab Culture
There is little evidence that The Nights was particularly
treasured in the Arab world. It is rarely mentioned in lists
of popular literature and few pre-18th-century manuscripts of
the collection exist. Fiction had a low cultural status among
Medieval Arabs compared with poetry, and the tales were dismissed
as khurafa (improbable fantasies fit only for entertaining
women and children). According to Robert Irwin, "Even today,
with the exception of certain writers and academics, The Nights
is regarded with disdain in the Arabic world. Its stories are
regularly denounced as vulgar, improbable, childish and, above
all, badly written."
Nevertheless, The Nights have proved an inspiration to some modern
Egyptian writers, such as Tawfiq al-Hakim (author of the Symbolist
play Shahrazad, 1934), Taha Hussein (Scheherazade's Dreams,
1943) and Naguib Mahfouz (Arabian Nights and Days, 1981).
Idries Shah finds the Abjad numerical equivalent of the Arabic
title, alf layla wa layla, in the Arabic phrase umm el quissa,
meaning "mother of records". He goes on to state that many of
the stories "are encoded Sufi teaching stories, descriptions
of psychological processes, or enciphered lore of one kind or
another.
On a more popular level, film and TV adaptations based on stories
like Sinbad and Aladdin enjoyed long lasting popularity in
Arabic speaking countries.
Early Influence on European Literature
Although the first known translation into a European language only appeared in 1704, it is possible that The Nights began exerting its influence on Western culture much earlier. Christian writers in Medieval Spain translated many works from Arabic, mainly philosophy and mathematics, but also Arab fiction, as is evidenced by Juan Manuel's story collection El Conde Lucanor and Ramón Llull's The Book of Beasts. Knowledge of the work, direct or indirect, apparently spread beyond Spain. Themes and motifs with parallels in The Nights are found in Chaucer's The Canterbury Tales (in The Squire's Tale the hero travels on a flying brass horse) and Boccaccio's Decameron. Echoes in Giovanni Sercambi's Novelle and Ariosto's Orlando Furioso suggest that the story of Shahriyar and Shahzaman was also known. Evidence also appears to show that the stories had spread to the Balkans and a translation of the Nights into Romanian existed by the 17th century, itself based on a Greek version of the collection.
Western Literature from the 18th Century Onwards
The modern fame of the Nights derives from the first known European
translation by Antoine Galland, which appeared in 1704. According
to Robert Irwin, Galland "played so large a part in discovering
the tales, in popularizing them in Europe and in shaping what
would come to be regarded as the canonical collection that, at
some risk of hyperbole and paradox, he has been called the real
author of the Nights." The immediate success of Galland's
version with the French public may have been because it coincided
with the vogue for contes de fées ("fairy stories"). This fashion
began with the publication of Madame d'Aulnoy's Histoire d'Hypolite
in 1690. D'Aulnoy's book has a remarkably similar structure to
the Nights, with the tales told by a female narrator. The success
of the Nights spread across Europe and by the end of the century
there were translations of Galland into English, German, Italian,
Dutch, Danish, Russian, Flemish and Yiddish. Galland's version
provoked a spate of pseudo-Oriental imitations. At the same time,
some French writers began to parody the style and concoct far-fetched
stories in superficially Oriental settings. These tongue-in-cheek
pastiches include Anthony Hamilton's Les quatre Facardins (1730),
Crébillon's Le sopha (1742) and Diderot's Les bijoux indiscrets
(1748). They often contained veiled allusions to contemporary
French society. The most famous example is Voltaire's Zadig (1748),
an attack on religious bigotry set against a vague pre-Islamic Middle
Eastern background. The English versions of the "Oriental
Tale" generally contained a heavy moralising element, with
the notable exception of William Beckford's fantasy Vathek (1786),
which had a decisive influence on the development of the Gothic
novel. The Polish nobleman Jan Potocki's novel Saragossa Manuscript
(begun 1797) owes a deep debt to the Nights with its Oriental flavour
and labyrinthine series of embedded tales.
The work was included on a price-list of books on theology, history,
and cartography, which was sent by the Scottish bookseller Andrew
Millar (when an apprentice) to a Presbyterian minister. This is
illustrative of the title's widespread popularity and availability
in the 1720s.
Several writers have attempted to add a thousand and second tale, including Théophile Gautier (La mille deuxième nuit, 1842) and Joseph Roth (Die Geschichte von der 1002. Nacht, 1939). Edgar Allan Poe wrote "The Thousand-and-Second Tale of Scheherazade" (1845). It depicts the eighth and final voyage of Sinbad the Sailor, along with the various mysteries Sinbad and his crew encounter; the anomalies are then described as footnotes to the story. While the king is uncertain—except in the case of the elephants carrying the world on the back of the turtle—that these mysteries are real, they are actual modern events that occurred in various places during, or before, Poe's lifetime. The story ends with the king in such disgust at the tale Scheherazade has just woven, that he has her executed the very next day.
Another important literary figure, the Irish poet W. B. Yeats was also fascinated by the Arabian Nights, when he wrote in his prose book, A Vision an autobiographical poem, titled The Gift of Harun Al-Rashid, in relation to his joint experiments with his wife Georgie Hyde-Lees, with Automatic writing. The automatic writing, is a technique used by many occultists in order to discern messages from the subconscious mind or from other spiritual beings, when the hand moves a pencil or a pen, writing only on a simple sheet of paper and when the person's eyes are shut. Also, the gifted and talented wife, is playing in Yeats's poem as "a gift" herself, given only allegedly by the caliph to the Christian and Byzantine philosopher Qusta Ibn Luqa, who acts in the poem as a personification of W. B. Yeats. In July 1934 he was asked by Louis Lambert, while in a tour in the United States, which six books satisfied him most. The list that he gave placed the Arabian Nights, secondary only to William Shakespeare's works.
Modern authors influenced by the Nights include James Joyce, Marcel Proust, Jorge Luis Borges and John Barth.
Cinema and Television
Stories from the One Thousand and One Nights have been popular
subjects for films, beginning with Georges Méliès' Le Palais des
Mille et une nuits (1905).
The critic Robert Irwin singles out the two versions of The Thief
of Baghdad (1924 version directed by Raoul Walsh; 1940 version
produced by Alexander Korda) and Pier Paolo Pasolini's Il fiore
delle Mille e una notte (1974) as ranking "high among the
masterpieces of world cinema." Michael James Lundell calls
Il fiore "the most faithful adaptation, in its emphasis on sexuality,
of The 1001 Nights in its oldest form."
UPA, an American animation studio, produced an animated feature
version of 1001 Arabian Nights (1959), featuring the cartoon
character Mr. Magoo.
The 1949 animated film The Singing Princess, another movie produced
in Italy, is inspired by The Arabian Nights. The animated feature
film, One Thousand and One Arabian Nights (1969), produced in Japan
and directed by Osamu Tezuka and Eichii Yamamoto, featured psychedelic
imagery and sounds, and erotic material intended for adults.
Alif Laila (The Arabian Nights), a 1997–2002 Indian TV series based
on the stories from One Thousand and One Nights produced by Sagar
Entertainment Ltd, starts with Scheherazade telling her stories to
Shahryār, and contains both the well-known and the lesser-known
stories from One Thousand and One Nights.
Arabian Nights (2000), a two-part television mini-series adopted
for BBC and ABC studios, starring Mili Avital, Dougray Scott, and
John Leguizamo, and directed by Steve Barron, is based on the
translation by Sir Richard Francis Burton.
Shabnam Rezaei and Aly Jetha created, and the Vancouver-based Big
Bad Boo Studios produced 1001 Nights (2012), an animated television
series for children, which launched on Teletoon and airs in 80
countries around the world, including Discovery Kids Asia.
Arabian Nights (2015, in Portuguese: As Mil e uma Noites), a
three-part film directed by Miguel Gomes, is based on One
Thousand and One Nights.
Music
The Nights has inspired many pieces of music
Classical
- François-Adrien Boieldieu: Le calife de Bagdad (1800)
- Carl Maria von Weber: Abu Hassan (1811)
- Luigi Cherubini: Ali Baba (1833)
- Robert Schumann: Scheherazade (1848)
- Peter Cornelius: Der Barbier von Bagdad (1858)
- Ernest Reyer: La statue (1861)
- C. F. E. Horneman (1840–1906), Aladdin (overture), 1864
- Nikolai Rimsky-Korsakov : Scheherazade Op. 35 (1888)
- Tigran Chukhajian (1837–1898), Zemire (1891)
- Maurice Ravel (1875-1937), Shéhérazade (1898)
- Ferrucio Busoni: Piano Concerto in C major (1904)
- Henri Rabaud: Mârouf, savetier du Caire (1914)
- Carl Nielsen, Aladdin Suite (1918–1919)
- Collegium musicum, Suita po tisic a jednej noci (1969)
- Fikret Amirov: Arabian Nights (Ballet, 1979)
- Ezequiel Viñao, La Noche de las Noches (1990)
- Carl Davis, Aladdin (Ballet, 1999)
Pop and Rock
- Renaissance: Scheherazade and Other Stories (1975)
- Icehouse: No Promises (From the album 'Measure for Measure', 1986)
- Kamelot, Nights of Arabia (1999)
- Sarah Brightman, Harem and Arabian Nights (2003)
- Ch!pz, "1001 Arabian Nights" (2004)
- Nightwish, Sahara (2007)
- Rock On!!, Sinbad The Sailor (2008)
- Abney Park (band), Scheherazade (2013)
Games
Popular modern games with an Arabian Nights theme include the Prince of Persia series, Crash Bandicoot: Warped, Sonic and the Secret Rings, Disney's Aladdin, Bookworm Adventures, and the pinball table, Tales of the Arabian Nights.
Illustrators
Many artists have illustrated the Arabian nights, including:
Pierre-Clément Marillier for Le Cabinet des Fées (1785–1789),
Gustave Doré, Léon Carré (Granville, 1878 – Alger, 1942), Roger
Blachon, Françoise Boudignon, André Dahan, Amato Soro, Albert
Robida, Alcide Théophile Robaudi and Marcelino Truong; Vittorio
Zecchin (Murano, 1878 – Murano, 1947) and Emanuele Luzzati; The
German Morgan; Mohammed Racim (Algiers, 1896 – Algiers 1975), Sani
ol-Molk (1849–1856), Anton Pieck and Emre Orhun.
Famous illustrators for British editions include: Arthur Boyd
Houghton, John Tenniel, John Everett Millais and George John
Pinwell for Dalziel's Illustrated Arabian Nights Entertainments,
published in 1865; Walter Crane for Aladdin's Picture Book (1876);
Frank Brangwyn for the 1896 edition of Lane's translation;
Albert Letchford for the 1897 edition of Burton's translation;
Edmund Dulac for Stories from the Arabian Nights (1907), Princess
Badoura (1913) and Sindbad the Sailor & Other Tales from the Arabian
Nights (1914). Others artists include John D. Batten, (Fairy Tales
From The Arabian Nights, 1893), Kay Nielsen, Eric Fraser, Errol
le Cain, Maxfield Parrish, W. Heath Robinson and Arthur Szyk
(1954).


Personio
Ruby wrapper for the personio API.
Check out the yard documentation here: doc
Installation
Add this line to your application's Gemfile:
gem 'personio', github: 'wonderwerk/personio'
And then execute:
$ bundle
This will load the personio gem from the github repository and make it available in your code.
Usage
Require the personio gem in your code.
require 'personio'
Configuration
A client id and a client secret have to be provided for the gem to be able
to query the personio API. By default those values are retrieved from the
environment, checking for PERSONIO_CLIENT_ID
and
PERSONIO_CLIENT_SECRET
to be set. You can set those variables
in your console by running:
$ export PERSONIO_CLIENT_ID=client_id
$ export PERSONIO_CLIENT_SECRET=client_secret.
The client id and secret are provided by personio. Log into your account and download the strings under api keys in the settings.
Alternatively you can configure the gem in it's configuration block.
require 'personio'
Personio.configure do |config|
config.client_id = client_id
config.client_secret = client_secret
end
Retrieving Employees
In order to query all employees from the configured personio account, given
by the used client id and secret, use the Employee Api underneath
Personio.employees
:
Personio.employees.all
This function queries all Employees and returns an array of employee objects.
Initializable API
Sometimes you might want to hold several instances of the personio api, in
order to query for multiple organisations simultaneously. To achieve this,
require personio/api
instead of personio
. This
makes a class PersonioApi
available, which takes the same
arguments as Personio
to initialize and exposes the same
endpoints.
For instance, to query all employees:
require 'personio/api'
# initialize the first api
api = PersonioApi.new(
client_id: '<my_id>',
client_secret: '<my_secret>'
)
# get all employees
employees = api.employees.all
Testing
This gem comes with the option to mock the api requests. When configuring personio, simply provide response data for the specific endpoints needed and all requests will be mocked with the provided data.#
# Configure personio
Personio.configure do |config|
config.mocks = {
employees: [
{
"first_name": "Robert",
"last_name": "Jacobs",
"email"<EMAIL_ADDRESS>"gender": "male",
"status": "active",
"position": "Junior HR consultant",
"employment_type": "internal",
"supervisor": {
"first_name": "Sarah",
"last_name": "Becker",
"email"<EMAIL_ADDRESS>}
}
]
}
end
Now calling Personio.employees.all
will return one employee:
Robert Jacobs.
Contribute
Please contact the repository host if you wish to contribute to this gem.
Generating docs
Before pushing to the docs please make sure that the docs are up to date by running:
$ yard doc -o docs
The docs have to be committed along with the code changes.
License
The gem is available as open source under the terms of the MIT License.


[gecode-users] Optimization in GECODE
Guido Tack
tack at ps.uni-sb.de
Mon Oct 2 11:59:02 CEST 2006
Hi.
> I'm implementing a scheduling problem with start (s), duration (d),
> end(e), setup times, for n jobs. I would like to find the minimum
> scheduling time from s[0] to s[n-1] and e[0] to e[n-1]. I have set
> it up such that e[n-1] contains the largest time point and I have
> attempted BAB with constrain to minimize e[n-1]. I realize that
> this only attempts different values for e[n-1] and does not try
> different branchings for the s and e variables. How can I do this,
> i.e., try different branchings to find a minimum?
Do you use a branching in your problem script? The Gecode search
engines do not automatically instantiate variables, you must have a
call to "branch" in order to set up the variable and value selection
strategy. Also, you have to make sure that the branching instantiates
all variables which are not necessarlily instantiated through
propagation.
Cheers,
Guido
--
Guido Tack
Programming Systems Lab, Saarland University, Germany
http://www.ps.uni-sb.de/~tack
More information about the gecode-users
mailing list


| I l@ve RuBoard |
The Windows NT API provides a rich set of functions to control Windows NT users and groups. To cope with the large number of attributes stored for users and groups, Windows NT defines different information levels for these objects. Programs that require only minimal information, such as the user or group name, can specify an information level that returns only this information. Other programs may wish to view all information available for a user, and will specify a different information level when accessing user information.
The Python support for NT users, groups, shares, servers, and so forth is in the module win32net . This module uses dictionaries to set and obtain information about these objects. When you request information about an object, a dictionary is returned; the information level you specify determines the items in the dictionary. When you create or modify information about a user, you pass a dictionary; the information level you specify determines which dictionary elements are expected to exist.
For example, when working with users, if you specify an information level of 1, the data is in the format defined for PyUSER_INFO_1. If you specify an information level of 102 when dealing with servers, the data is in the format defined for PySERVER_INFO_102. Appendix B, describes the different information levels and the data.
Most of the Windows NT administration functions take as their first parameter the name of a server on which to execute the command. You can pass None if you want to apply the changes to the local machine, but if you are working within a Windows NT domain, you may need to specify the name of a domain controller for that domain. This obviously means you will also need the appropriate permissions on that domain. All examples in this chapter use the local machine, and hence pass None as the first parameter. Also be aware that in a typical Windows NT network, you may find Windows NT Primary Domain Controllers (PDCs), Backup Domain Controllers (BDCs), Windows NT servers, Windows NT workstations, and Windows 2000 machines. Although the APIs are all exposed, you may need to ensure the changes are applied as you expect. For example, as we shall see later in this chapter, working with NT users or groups differs slightly if the changes are applied to the local database, or to the domain.
All strings returned from the Windows NT API functions are Unicode, so for Python 1.5 you may need to convert them to Python strings, using the str() function. When you pass a dictionary to these functions, the strings can be normal Python strings or Unicode objects; Python converts them to Unicode if necessary.
To get a feel for this, let's start by querying information about a current user. First, obtain your username:
>>> import win32api >>> userName=win32api.GetUserName()
And to assist working with the Python dictionaries, you can define a simple helper function to pretty-print the data:
>>> def dump(dict): ... for key, value in dict.items(): ... print key, "=", str(value) ... >>>
So now you can get the user information and pass it to your function to print. Pass None for the first parameter, so this function obtains the information from the local machine. Pass your current username in the second parameter, and request information level 1 in the last parameter, giving the data defined in PyUSER_INFO_1:
>>> import win32net >>> info=win32net.NetUserGetInfo(None, userName, 1) >>> print info['name'] # print just the user name skip >>> dump(info) priv = 2 home_dir = c:\winnt\profiles\skip\personal password = None script_path = name = skip flags = 66049 password_age = 23792806 comment = >>>
By referring to Appendix B, you can determine the information returned for each information level; however, for a thorough description, you should refer to the Win32 documentation for these functions. Let's experiment with this a little from the interactive prompt:
>>> len(info) 8
Level 1 (PyUSER_INFO_1) has eight items of data. You can try some other levels:
>>> info=win32net.NetUserGetInfo(None, userName, 2) >>> len(info) 24 >>> info=win32net.NetUserGetInfo(None, userName, 3) >>> len(info) 29 >>> info=win32net.NetUserGetInfo(None, userName, 4) Traceback (innermost last): File "<interactive input>", line 1, in ? ValueError: This information level is not supported >>>
Level 2 provides 24 pieces of data, while level 3 provides 29. There is no information level 4, but if you refer to Appendix B, you will find other information levels supported we don't demonstrate here.
The win32net.NetGroupGetInfo() function is the equivalent for obtaining the information about a group, but instead deals with PyGROUP_INFO structures.
You can also enumerate (i.e., loop over) all users using the win32net.NetUserEnum() function.
entries, total, resume = win32net.NetUserEnum(server, level, filter, resume, len=4096)
The name of the server to execute on, or None for the current machine.
An integer specifying the level of information requested.
An integer defining the type of accounts to list. A common value for this is FILTER_NORMAL_ACCOUNT, although Appendix B lists the valid values for Windows NT 4.
A value used to control the iteration when there is a large number of users to list. Zero should be passed the first time it is called, and while a nonzero resume result is returned from the function, it can be called again with the new resume value to obtain the next set of the users. An example of this is shown in the following code.
A hint to the Win32 function about how much data to allocate. See the Win32 documentation for more details.
The NetUserEnum() function returns three items:
A list of dictionaries; one for each user returned.
The total number of items left to read before making the call. Thus, total-len(entries) is the number of entries left to read after this call.
A resume handle, that can obtain the next set of users. When resume is zero, there are no more items to read.
The parameters and arguments to this function are probably not obvious, and all the win32net enumeration functions follow this pattern, so it's worth discussing at this point. The general idea is that you call this function multiple times, with each call obtaining only a portion of the total data. The resume parameter controls the looping and indicates when there's no more data available. These functions are designed to allow programs to process large sets of data without consuming all the memory on the local machine; however, the key drawback is that the code becomes slightly more complex.
To demonstrate the use of this function, let's write a function that loops over all users, and prints their username and the date and time they last logged on.
If you consult Appendix B, you'll notice that an information level of 2 (PyUSER_INFO_2) includes the fields name and last_logon. So you can do an enumeration at level 2. Also, you should exploit the fact that the Win32 Networking API time values are all integers holding the number of seconds since January 1, 1970, and that this is the same system the standard Python time module uses.
As we mentioned, the looping makes the code more complex than most code working with users and groups, but it's still small enough to type interactively:
>>> import win32netcon >>> import time >>> def ReportUsers(): ... resume = 0 ... while 1: ... filter = win32netcon.FILTER_NORMAL_ACCOUNT ... data, total, resume = win32net.NetUserEnum(None, 2, filter, resume) ... for user in data: ... lastlogon= time.strftime("%c", time.localtime(user['last_logon'])) ... print user['name'], lastlogon ... if resume==0: ... break >>> ReportUsers() Administrator 04/15/99 14:57:13 Guest 01/01/70 11:00:00 skip 04/15/99 15:07:26 VUSR_BOBCAT 10/09/98 15:33:55 >>>
Note the use of the resume parameter. Initialize this to zero before you start the loop. Each time you repeat the loop, you pass the resume result from the previous call. When the result returns zero, you're done.
Creating users and groups is a simple process. All you need to do is create a dictionary with the information for the user and call win32net.NetUserAdd() or win32net.NetGroupAdd(). Depending on the information you need to set for the user, the information level can be 1, 2, or 3, corresponding to PyGROUP_INFO_1, PyGROUP_INFO_2, and PyGROUP_INFO_3 respectively. Refer to Appendix B for the dictionary elements in these information levels.
win32net.NetUserAdd(server, level, data)
The name of the server to execute on or None for the current machine.
The level of information provided in the data parameter.
A dictionary with data corresponding to the level.
The simplest way to start is to create a dictionary corresponding to information level 1. Some of the attributes are optional. You can create a new user with the following code:
>>> d={} >>> d['name'] = "PythonTestUser" >>> d['password'] = "Top Secret" >>> d['comment'] = "A user created by some Python demo code" >>> d['flags'] = win32netcon.UF_NORMAL_ACCOUNT | win32netcon.UF_SCRIPT >>> d['priv'] = win32netcon.USER_PRIV_USER >>> win32net.NetUserAdd(None, 1, d) >>>
Most of the attributes are self-explanatory. The flags attribute specifies the type of account to create. The Win32 documentation states that the use of the UF_SCRIPT flag is necessary. The priv attribute controls the privileges of the new user; you are creating a normal user. See Appendix B for more details on these attributes.
You've now created a user. Let's see if you can read the data for the new user:
>>> win32net.NetUserGetInfo(None, "PythonTestUser", 0) {'name': L'PythonTestUser'}
Information level (PyUSER_INFO_0) provides only the username, so the user does exist.
To modify the details for a user, use the function win32net.NetUserSetInfo().
win32net.NetUserSetInfo(server, userName, level, data)
The name of the server to execute on or None for the current machine.
The username to change. The name element in the dictionary is ignored.
The level of information provided in the data parameter.
A dictionary with data corresponding to the level.
The simplest way to fill this dictionary is to call win32net.NetUserGetInfo() with the appropriate information level, modify the returned dictionary, then pass it to win32net.NetUserSetInfo(). This is simple to demonstrate. Let's modify the comment field for the new user:
>>> d = win32net.NetUserGetInfo(None, "PythonTestUser", 1) >>> d['comment'] L'A user created by some Python demo code' >>>
Now you have a dictionary, and the comment is just as you created it. Now, update the dictionary and update the user:
>>> d['comment'] = "The new comment for our user" >>> d = win32net.NetUserSetInfo(None, "PythonTestUser", 1, d) >>>
Finally, you can check that your data made it by rereading the user information:
>>> win32net.NetUserGetInfo(None, "PythonTestUser", 1)['comment'] L'The new comment for our user' >>>
Working with groups is similar to working with users. The concepts are identical; only the specific data that is used changes. Again, you need to refer to Appendix B to find the exact attributes required in the dictionary for the specific call. We will now make a slight diversion and play with some Windows NT groups while we have a test user.
Add the new user to the standard group named Users. Windows NT doesn't automatically add users to this group, so you need to do it for all new users.
|
Windows NT defines two types of groups: local groups are local to the machine, while groups are domain groups. Rather than assume your Windows NT machine is in a domain, you can use local groups with the function win32net.NetLocalGroupAddMembers(). The process for using domain groups is similar, but it employs win32net.NetGroupAddUser().
win32net.NetLocalGroupAddMembers(server, group, level, members_data)
The name of the server on which to apply the changes, or None for the current machine.
The name of the local group to which the members should be added.
The level of the data contained in each element of members_data.
A list of dictionaries, one for each member to be added. The dictionaries must be one of the LOCALGROUP_MEMBERS_INFO structures, depending on the level parameter.
If you refer to Appendix B, notice that the LOCALGROUP_MEMBERS_INFO levels 0, 1, and 2 all require a user SID, an NT Security Identifier. Although you can work with SIDs via the win32security module, LOCALGROUP_MEMBERS_INFO_3 allows you to specify a domain and username. So the first step is to obtain the current domain name:
>>> import win32api >>> domain = win32api.GetDomainName()
Now build a dictionary with a single element, domainandname, that is a string in the standard Windows NT username format, Domain\User. This dictionary is stored as the only item in a list:
>>> data = [ {"domainandname" : domain+"\\PythonTestUser"} ]
You can now add the member to the group. Note that you must specify information level 3, since this is the format of the data in your dictionary:
>>> win32net.NetLocalGroupAddMembers(None, "Users", 3, data)
If you wish, you could use the win32net.NetLocalGroupGetMembers() function to list the members in the group to prove the new member is indeed in the group.
Finally, you can delete the new user with the win32net.NetUserDel() function.
win32net.NetUserDel(server, userName)
The name of the server on which to delete the user or None for the current machine.
The name of the user to delete.
Can't get much simpler than that. Let's delete the new user:
>>> win32net.NetUserDel(None, "PythonTestUser") >>>
Now, check the deletion by trying to read the user's information back in:
>>> win32net.NetUserGetInfo(None, "PythonTestUser", 1) Traceback (innermost last): File "<interactive input>", line 0, in ? api_error: (2221, 'NetUserGetInfo', 'The user name could not be found.') >>>
As you can see, the user has been deleted.
| I l@ve RuBoard |


Guess The Right Combination and Win Big!
- Each Game You Will Be Given A Random Number
- By clicking on the crystals below, Find the winning combination of crystals to equal the target number and win!
- If you go over the Target Number: you LOSE, the game is over, and you will be hurled into the crystal abyss!
- Enjoy the magic and mystery of the crystal world and play again and again
Target Number:
Your Score:
Wins:
Losses:


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Patrick refuses to disavow PAC money in Dem presidential bid
by Alexandra Jaffe, The Associated PressDES MOINES, Iowa — Democratic presidential candidate Deval Patrick says he will not discourage potential support from political committees raising huge sums from undisclosed donors for his campaign.
The former Massachusetts governor told NBC’s “Meet the Press” that while “I’m not crazy about super PACs” he wouldn’t disavow their support because he’s doing “catch up” in the 2020 race.
Patrick launched his presidential bid last week, joining an already crowded Democratic field less than three months before the primary voting officially begins.
So-called super PACs can raise unlimited sums and do not have to disclose their donors, and Patrick said that was his only concern with their involvement in his campaign.
He says that “if there is going to be super PAC money that supports me, the sources of that should be disclosed.”
Alexandra Jaffe, The Associated Press


One day, perhaps a day far off, I would like to move to New Zealand and start my own town. I would call it Blough and I would be the Mayor of Blough.
Blough would be a special place because all eight correct pronunciations of its name would be correct. It's main trades would be poker, jazz music, wind farms and confused tourists. My favourite pronunciation would be "Blup".
* Bluff
* Blue
* Blau (to rhyme with "cow")
* Blow
* Blaw (to rhyme with "saw")
* Bloff
* Blup
* Bluh (more of a schwa sound)
Welcome to English!


Views By Date
The number of views to any page on the site on a given day.
| Date |
Views |
{{#each viewsByDate}}
| {{ date }} |
{{ count }} |
{{/each}}
| Total |
{{ total }} |
Page Views
The number of views for a specific page over the past week.
| Page |
Views |
{{#each viewsByUrl}}
| {{ url }} |
{{ count }} |
{{/each}}
Referrers
The website which the viewer came from.
| Referrer |
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Location
The geographic location of the viewer.
Country
| Location |
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| {{ country }} |
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Region (Top 10)
| Location |
Views |
{{#each viewsByRegion}}
| {{ region }} |
{{ count }} |
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City (Top 10)
| Location |
Views |
{{#each viewsByCity}}
| {{ city }} |
{{ count }} |
{{/each}}


public class Network
extends java.lang.Object
implements java.io.Serializable
Weighted nodes and weighted edges are supported. Directed edges are not supported.
Network objects are immutable.
The adjacency matrix of the network is stored in a sparse compressed format.
| Modifier and Type | Class and Description |
|---|---|
class |
Network.RangeIterable
Iterable starting from a certain element to a certain element.
|
class |
Network.RangeIterator
Iterator capable of iterating over a specified range.
|
| Modifier and Type | Field and Description |
|---|---|
protected LargeDoubleArray |
edgeWeights
Edge weights.
|
protected long[] |
firstNeighborIndices
Index of the first neighbor of each node in the (@code neighbors} array.
|
protected long |
nEdges
Number of edges.
|
protected LargeIntArray |
neighbors
Neighbors of each node.
|
protected int |
nNodes
Number of nodes.
|
protected double[] |
nodeWeights
Node weights.
|
protected double |
totalEdgeWeightSelfLinks
Total edge weight of self links.
|
| Constructor and Description |
|---|
Network(double[] nodeWeights,
LargeIntArray[] edges,
boolean sortedEdges,
boolean checkIntegrity)
Constructs a network based on a list of edges.
|
Network(double[] nodeWeights,
LargeIntArray[] edges,
LargeDoubleArray edgeWeights,
boolean sortedEdges,
boolean checkIntegrity)
Constructs a network based on a list of edges.
|
Network(double[] nodeWeights,
long[] firstNeighborIndices,
LargeIntArray neighbors,
boolean checkIntegrity)
Constructs a network based on a list of neighbors.
|
Network(double[] nodeWeights,
long[] firstNeighborIndices,
LargeIntArray neighbors,
LargeDoubleArray edgeWeights,
boolean checkIntegrity)
Constructs a network based on a list of neighbors.
|
Network(int nNodes,
boolean setNodeWeightsToTotalEdgeWeights,
LargeIntArray[] edges,
boolean sortedEdges,
boolean checkIntegrity)
Constructs a network based on a list of edges.
|
Network(int nNodes,
boolean setNodeWeightsToTotalEdgeWeights,
LargeIntArray[] edges,
LargeDoubleArray edgeWeights,
boolean sortedEdges,
boolean checkIntegrity)
Constructs a network based on a list of edges.
|
Network(int nNodes,
boolean setNodeWeightsToTotalEdgeWeights,
long[] firstNeighborIndices,
LargeIntArray neighbors,
boolean checkIntegrity)
Constructs a network based on a list of neighbors.
|
Network(int nNodes,
boolean setNodeWeightsToTotalEdgeWeights,
long[] firstNeighborIndices,
LargeIntArray neighbors,
LargeDoubleArray edgeWeights,
boolean checkIntegrity)
Constructs a network based on a list of neighbors.
|
| Modifier and Type | Method and Description |
|---|---|
void |
checkIntegrity()
Checks the integrity of the network.
|
Network |
createNetworkWithoutEdgeWeights()
Creates a copy of the network, but without edge weights.
|
Network |
createNetworkWithoutNodeAndEdgeWeights()
Creates a copy of the network, but without node and edge weights.
|
Network |
createNetworkWithoutNodeWeights()
Creates a copy of the network, but without node weights.
|
Network |
createNormalizedNetworkUsingAssociationStrength()
Creates a copy of the network in which the edge weights have been
normalized using the association strength.
|
Network |
createNormalizedNetworkUsingFractionalization()
Creates a copy of the network in which the edge weights have been
normalized using fractionalization.
|
Network |
createPrunedNetwork(int maxNEdges)
Creates a copy of the network that has been pruned in order to have a
specified maximum number of edges.
|
Network |
createPrunedNetwork(long maxNEdges,
java.util.Random random)
Creates a copy of the network that has been pruned in order to have a
specified maximum number of edges.
|
Network |
createReducedNetwork(Clustering clustering)
Creates a reduced (or aggregate) network based on a clustering.
|
Network |
createSubnetwork(boolean[] nodesInSubnetwork)
Creates an induced subnetwork for specified nodes.
|
Network |
createSubnetwork(Clustering clustering,
int cluster)
Creates an induced subnetwork for a specified cluster in a clustering.
|
Network |
createSubnetwork(int[] nodes)
Creates an induced subnetwork for specified nodes.
|
Network |
createSubnetworkLargestComponent()
Creates an induced subnetwork of the largest connected component.
|
Network[] |
createSubnetworks(Clustering clustering)
Creates induced subnetworks for the clusters in a clustering.
|
LargeDoubleArray.FromToIterable |
edgeWeights(int node)
Returns an iterable over all the edge weights of all incident edges of a
node.
|
LargeIntArray[] |
getEdges()
Returns the list of edges.
|
LargeDoubleArray |
getEdgeWeights()
Returns the edge weights.
|
double[] |
getEdgeWeights(int node)
Returns the list of edge weights of a node.
|
double[][] |
getEdgeWeightsPerNode()
Returns a list of edge weights per node.
|
long |
getNEdges()
Returns the number of edges.
|
int[] |
getNeighbors(int node)
Returns the list of neighbors of a node.
|
int[][] |
getNeighborsPerNode()
Returns a list of neighbors per node.
|
int |
getNNeighbors(int node)
Returns the number of neighbors of a node.
|
int[] |
getNNeighborsPerNode()
Returns the number of neighbors per node.
|
int |
getNNodes()
Returns the number of nodes.
|
double |
getNodeWeight(int node)
Returns the weight of a node.
|
double[] |
getNodeWeights()
Returns the weight of each node.
|
double |
getTotalEdgeWeight()
Returns the total edge weight.
|
double |
getTotalEdgeWeight(int node)
Returns the total edge weight of a node.
|
double[] |
getTotalEdgeWeightPerNode()
Returns the total edge weight per node.
|
double |
getTotalEdgeWeightSelfLinks()
Returns the total edge weight of self links.
|
double |
getTotalNodeWeight()
Returns the total node weight.
|
Clustering |
identifyComponents()
Identifies the connected components of the network.
|
Network.RangeIterable |
incidentEdges(int node)
Returns an iterable over all the incident edges of a node.
|
static Network |
load(java.lang.String filename)
Loads a network from a file.
|
LargeIntArray.FromToIterable |
neighbors(int node)
Returns an iterable over all the neighbors of a node.
|
void |
save(java.lang.String filename)
Saves the network in a file.
|
static void |
sortEdges(LargeIntArray[] edges,
LargeDoubleArray edgeWeights)
Sorts a list of edges and the corresponding edge weights.
|
protected int nNodes
protected long nEdges
Each edge is counted twice, once in each direction.
protected double[] nodeWeights
protected long[] firstNeighborIndices
The neighbors of node i
are given by neighbors[firstNeighborIndices[i]], ...,
neighbors[firstNeighborIndices[i + 1] - 1]
.
protected LargeIntArray neighbors
protected LargeDoubleArray edgeWeights
protected double totalEdgeWeightSelfLinks
public Network(double[] nodeWeights, LargeIntArray[] edges, boolean sortedEdges, boolean checkIntegrity)
The list of edges is provided in the two-dimensional array edges
. Edge i
connects nodes edges[0].get(i)
and edges[1].get(i)
. Edges do not have weights. If sortedEdges
is
false, the list of edges does not need to be sorted and each edge must
be included only once. If sortedEdges
is true, the list of edges
must be sorted and each edge must be included twice, once in each
direction.
nodeWeights
- Node weightsedges
- Edge listsortedEdges
- Indicates whether the edge list is sortedcheckIntegrity
- Indicates whether to check the integrity of the
networkpublic Network(double[] nodeWeights, LargeIntArray[] edges, LargeDoubleArray edgeWeights, boolean sortedEdges, boolean checkIntegrity)
The list of edges is provided in the two-dimensional array edges
. Edge i
connects nodes edges[0].get(i)
and edges[1].get(i)
and has weight edgeWeights.get(i)
. If sortedEdges
is false, the list of edges does not need to be sorted and
each edge must be included only once. If sortedEdges
is true,
the list of edges must be sorted and each edge must be included twice,
once in each direction.
nodeWeights
- Node weightsedges
- Edge listedgeWeights
- Edge weightssortedEdges
- Indicates whether the edge list is sortedcheckIntegrity
- Indicates whether to check the integrity of the
networkpublic Network(double[] nodeWeights, long[] firstNeighborIndices, LargeIntArray neighbors, boolean checkIntegrity)
The list of neighbors is provided in the array neighbors
. The
neighbors of node i
are given by neighbors[firstNeighborIndices[i]], ...,
neighbors[firstNeighborIndices[i + 1] - 1]
. The array firstNeighborIndices
must have a length of the number of nodes plus 1.
The neighbors of a node must be listed in increasing order in the array
neighbors
. Edges do not have weights.
nodeWeights
- Node weightsfirstNeighborIndices
- Index of the first neighbor of each nodeneighbors
- Neighbor listcheckIntegrity
- Indicates whether to check the integrity of
the networkpublic Network(double[] nodeWeights, long[] firstNeighborIndices, LargeIntArray neighbors, LargeDoubleArray edgeWeights, boolean checkIntegrity)
The list of neighbors is provided in the array neighbors
. The
neighbors of node i
are given by neighbors[firstNeighborIndices[i]], ...,
neighbors[firstNeighborIndices[i + 1] - 1]
. The array firstNeighborIndices
must have a length of the number of nodes plus 1.
The neighbors of a node must be listed in increasing order in the array
neighbors
. For each neighbor in the array neighbors
, the
corresponding edge weight is provided in the array edgeWeights
.
nodeWeights
- Node weightsfirstNeighborIndices
- Index of the first neighbor of each nodeneighbors
- Neighbor listedgeWeights
- Edge weightscheckIntegrity
- Indicates whether to check the integrity of
the networkpublic Network(int nNodes, boolean setNodeWeightsToTotalEdgeWeights, LargeIntArray[] edges, boolean sortedEdges, boolean checkIntegrity)
The list of edges is provided in the two-dimensional array edges
. Edge i
connects nodes edges[0].get(i)
and edges[1].get(i)
. Edges do not have weights. If sortedEdges
is
false, the list of edges does not need to be sorted and each edge must
be included only once. If sortedEdges
is true, the list of edges
must be sorted and each edge must be included twice, once in each
direction.
If setNodeWeightsToTotalEdgeWeights
is false, the weights of the
nodes are set to 1. If setNodeWeightsToTotalEdgeWeights
is true,
the weight of a node is set equal to the total weight of the edges
between the node and its neighbors.
nNodes
- Number of nodessetNodeWeightsToTotalEdgeWeights
- Indicates whether to set node
weights equal to total edge
weightsedges
- Edge listsortedEdges
- Indicates whether the edge list
is sortedcheckIntegrity
- Indicates whether to check the
integrity of the networkpublic Network(int nNodes, boolean setNodeWeightsToTotalEdgeWeights, LargeIntArray[] edges, LargeDoubleArray edgeWeights, boolean sortedEdges, boolean checkIntegrity)
The list of edges is provided in the two-dimensional array edges
. Edge i
connects nodes edges[0].get(i)
and edges[1].get(i)
and has weight edgeWeights.get(i)
. If sortedEdges
is false, the list of edges does not need to be sorted and
each edge must be included only once. If sortedEdges
is true,
the list of edges must be sorted and each edge must be included twice,
once in each direction.
If setNodeWeightsToTotalEdgeWeights
is false, the weights of the
nodes are set to 1. If setNodeWeightsToTotalEdgeWeights
is true,
the weight of a node is set equal to the total weight of the edges
between the node and its neighbors.
nNodes
- Number of nodessetNodeWeightsToTotalEdgeWeights
- Indicates whether to set node
weights equal to total edge
weightsedges
- Edge listedgeWeights
- Edge weightssortedEdges
- Indicates whether the edge list
is sortedcheckIntegrity
- Indicates whether to check the
integrity of the networkpublic Network(int nNodes, boolean setNodeWeightsToTotalEdgeWeights, long[] firstNeighborIndices, LargeIntArray neighbors, boolean checkIntegrity)
The list of neighbors is provided in the array neighbors
. The
neighbors of node i
are given by neighbors[firstNeighborIndices[i]], ...,
neighbors[firstNeighborIndices[i + 1] - 1]
. The array firstNeighborIndices
must have a length of the number of nodes plus 1.
The neighbors of a node must be listed in increasing order in the array
neighbors
. Edges do not have weights.
If setNodeWeightsToTotalEdgeWeights
is false, the weights of the
nodes are set to 1. If setNodeWeightsToTotalEdgeWeights
is true,
the weight of a node is set equal to the total weight of the edges
between the node and its neighbors.
nNodes
- Number of nodessetNodeWeightsToTotalEdgeWeights
- Indicates whether to set node
weights equal to total edge
weightsfirstNeighborIndices
- Index of the first neighbor of
each nodeneighbors
- Neighbor listcheckIntegrity
- Indicates whether to check the
integrity of the networkpublic Network(int nNodes, boolean setNodeWeightsToTotalEdgeWeights, long[] firstNeighborIndices, LargeIntArray neighbors, LargeDoubleArray edgeWeights, boolean checkIntegrity)
The list of neighbors is provided in the array neighbors
. The
neighbors of node i
are given by neighbors[firstNeighborIndices[i]], ...,
neighbors[firstNeighborIndices[i + 1] - 1]
. The array firstNeighborIndices
must have a length of the number of nodes plus 1.
The neighbors of a node must be listed in increasing order in the array
neighbors
. For each neighbor in the array neighbors
, the
corresponding edge weight is provided in the array edgeWeights
.
If setNodeWeightsToTotalEdgeWeights
is false, the weights of the
nodes are set to 1. If setNodeWeightsToTotalEdgeWeights
is true,
the weight of a node is set equal to the total weight of the edges
between the node and its neighbors.
nNodes
- Number of nodessetNodeWeightsToTotalEdgeWeights
- Indicates whether to set node
weights equal to total edge
weightsfirstNeighborIndices
- Index of the first neighbor of
each nodeneighbors
- Neighbor listedgeWeights
- Edge weightscheckIntegrity
- Indicates whether to check the
integrity of the networkpublic static Network load(java.lang.String filename) throws java.lang.ClassNotFoundException, java.io.IOException
filename
- File from which a network is loadedjava.lang.ClassNotFoundException
- Class not foundjava.io.IOException
- Could not read the filesave(String filename)
public void save(java.lang.String filename) throws java.io.IOException
filename
- File in which the network is savedjava.io.IOException
- Could not write to the fileload(String filename)
public int getNNodes()
public double getTotalNodeWeight()
public double[] getNodeWeights()
public double getNodeWeight(int node)
node
- Nodepublic long getNEdges()
Each edge is counted only once, even though an edge runs in two
directions. This means that the number of edges returned by getEdges()
equals twice the number of edges returned by getNEdges()
.
public int[] getNNeighborsPerNode()
public int getNNeighbors(int node)
node
- Nodepublic LargeIntArray[] getEdges()
Each edge is included twice, once in each direction. This means that the
number of edges returned by getEdges()
equals twice the number
of edges returned by getNEdges()
.
The list of edges is returned in a two-dimensional array edges
.
Edge i
connects nodes edges[0].get(i)
and edges[1].get(i)
.
public int[][] getNeighborsPerNode()
public int[] getNeighbors(int node)
node
- Nodepublic LargeIntArray.FromToIterable neighbors(int node)
node
- Nodepublic Network.RangeIterable incidentEdges(int node)
node
- Nodepublic double getTotalEdgeWeight()
Each edge is considered only once, even though an edge runs in two
directions. This means that the sum of the edge weights returned by
getEdgeWeights()
equals twice the total edge weight returned by
getTotalEdgeWeight()
.
Edge weights of self links are not included.
public double[] getTotalEdgeWeightPerNode()
public double getTotalEdgeWeight(int node)
node
- Nodepublic LargeDoubleArray getEdgeWeights()
Each edge is included twice, once in each direction. This means that the
sum of the edge weights returned by getEdgeWeights()
equals
twice the total edge weight returned by getTotalEdgeWeight()
.
public double[][] getEdgeWeightsPerNode()
public double[] getEdgeWeights(int node)
node
- Nodepublic LargeDoubleArray.FromToIterable edgeWeights(int node)
node
- Nodepublic double getTotalEdgeWeightSelfLinks()
public Network createNetworkWithoutNodeWeights()
Each node is assigned a weight of 1.
public Network createNetworkWithoutEdgeWeights()
Each edge is assigned a weight of 1.
public Network createNetworkWithoutNodeAndEdgeWeights()
Each node is assigned a weight of 1, and each edge is assigned a weight of 1.
public Network createNormalizedNetworkUsingAssociationStrength()
The normalized weight a'[i][j]
of the edge between nodes i
and j
is given by
a'[i][j] = a[i][j] / (n[i] * n[j] / (2 * m))
,
where a[i][j]
is the non-normalized weight of the edge between
nodes i
and j
, n[i]
is the weight of node i
, and m
is half the total node weight.
If each node's weight equals the total weight of the edges between the node and its neighbors, the edge weights are normalized by dividing them by the expected edge weights in the random configuration model.
The node weights are set to 1.
public Network createNormalizedNetworkUsingFractionalization()
The normalized weight a'[i][j]
of the edge between nodes i
and j
is given by
a'[i][j] = a[i][j] * (n / n[i] + n / n[j]) / 2
,
where a[i][j]
is the non-normalized weight of the edge between
nodes i
and j
, n[i]
is the weight of node i
, and n
is the number of nodes.
The node weights are set to 1.
public Network createPrunedNetwork(int maxNEdges)
Only the edges with the highest weights are retained in the pruned network. In case of ties, the edges to be retained are selected randomly.
maxNEdges
- Maximum number of edgespublic Network createPrunedNetwork(long maxNEdges, java.util.Random random)
Only the edges with the highest weights are retained in the pruned network. In case of ties, the edges to be retained are selected randomly.
maxNEdges
- Maximum number of edgesrandom
- Random number generatorpublic Network createSubnetwork(int[] nodes)
nodes
- Nodespublic Network createSubnetwork(boolean[] nodesInSubnetwork)
nodesInSubnetwork
- Indicates the nodes to be included in the
subnetwork.public Network createSubnetwork(Clustering clustering, int cluster)
If subnetworks need to be created for all clusters in a clustering, it
is more efficient to use createSubnetworks(Clustering
clustering)
.
clustering
- Clusteringcluster
- Clusterpublic Network[] createSubnetworks(Clustering clustering)
clustering
- Clusteringpublic Network createSubnetworkLargestComponent()
public Network createReducedNetwork(Clustering clustering)
Each node in the reduced network corresponds to a cluster of nodes in the original network. The weight of a node in the reduced network equals the sum of the weights of the nodes in the corresponding cluster in the original network. The weight of an edge between two nodes in the reduced network equals the sum of the weights of the edges between the nodes in the two corresponding clusters in the original network.
clustering
- Clusteringpublic Clustering identifyComponents()
public void checkIntegrity() throws java.lang.IllegalArgumentException
It is checked whether:
An exception is thrown if the integrity of the network is violated.
java.lang.IllegalArgumentException
- An illegal argument was provided in the
construction of the network.public static void sortEdges(LargeIntArray[] edges, LargeDoubleArray edgeWeights)
edges
- Edge listedgeWeights
- Edge weights


{% extends 'layout.html' %} {% block pageTitle %} NHS.UK prototype kit {% endblock %} {% block beforeContent %} {% endblock %} {% block content %}
We'll send you daily advice about how to look after the mental and physical health of yourself and others while you're at home.
We will only use your mobile number to text you updates.


Fishing: long stretches of boredom punctuated by other long stretches of boredom. Also, lure tangles.
6/29/2016, 2:27:51 PM
Favs: 4
Retweets: 1
link--- layout: tweet ---
Fishing: long stretches of boredom punctuated by other long stretches of boredom. Also, lure tangles.
6/29/2016, 2:27:51 PM
Favs: 4
Retweets: 1
link