COVID-19 Daily Briefing Sources
Submission Form
Journals I usually trust
Science - Coronavirus: research, commentary, and news
Nature - Pick of the coronavirus papers
Nature - Coronavirus updates
Lancet - COVID-19 resource centre
NEJM - Coronavirus (Covid-19)
JAMA - Coronavirus Disease 2019 (COVID-19)
Professional data sources/commentary
JHU - COVID-19 situation reports
FDA - Latest COVID-19 Information
CDC - Novel coronavirus reports
STM - In the pipeline
Public news sources which sometimes link to the original science article
NPR - Coronavirus Live Updates
NY Times - The Coronavirus Outbreak
Google - COVID-19 News
Preprints - ignored, unless I cannot find enough peer-reviewed articles
ResearchSquare - SARS-CoV-2 and COVID-19 preprints
medRxiv - COVID-19 SARS-CoV-2 preprints
Most data sources above specify the date of each article, making it easier to read just the ones posted since last brief.


"Paprika" is a grammar format for writing fun text which varies itself, and also the software which reads that format. It's great for twitter bots and other randomly-generated dialogue. You can try my Paprika grammars in this toy, or you can find out how to integrate it for yourself.
Output:
You can click examples to try them, like this one: Hello [animal]
If you use identical tags more than once, they will be replaced with the same thing (like find+replace).
My [animal] is [good trait]. I love my [animal].
If you want to randomise tags more than once, you can label them separately with a hash. Even then, they might randomise the same result!
I like [sport#1] and [sport#another]
The options for each tag come from so-called "grammar" files. You can explore the whole grammar but it might be a bit confusing. You can learn about implementing your own grammar.
In the grammar, there is [category]
. For each category, there is also a list of those things (like "[country]
", and "[colour]
").
This lets us do something like My favourite [category] is [[category]]
(The first find+replace changes the formula to something like My favourite country is [country]
)
But notice that [[category]] is a [category]
doesn't work!
That's because the internal [category] tag hasn't been replaced by the time it gets to the nested brackets.
To fix this, you can render it early using a 'hidden' tag.
[!category][[category]] is a [category]
One cool Paprika feature is that [a] and [an] are magical. They look at the next letter in the finished sentence and change appropriately,
so you can write [a] [category]
to get "a country" or "an animal".
I call '!' a command. Commands are a special character at the start of a tag.
Another command is '?'. The '?' tag gives a 50% chance of that tag being rendered empty
He drove a [?colour] car
Forward slashes make the tag pick between literal phrases:
Let's go [north/south/east/west/up the hill/down the well]
So you can also use '/' to make a literal word optional. Try this a few times: It's [/really ]nice
[cat/dog][s/] and [rat/hog][s/]


Amazon announces Fire TV Blaster which disappointingly blasts IR, not actual fire
by Cody EnglishAmazon's Fire TV family of products just gained a new member, the Fire TV Blaster. This $35 IR blaster accessory will allow you to control your TV, soundbar, or satellite/cable box using only your voice and an Echo speaker or other compatible Amazon Fire TV device.
Of course, this isn't the first Fire TV device to come equipped with an IR emitter (both the Fire TV Cube and Alexa Voice Remote can control devices with IR.) However, the Blaster offers hands-free controls at a far lower price point, which could help bring voice control to those still running older Amazon hardware.
The Fire TV Blaster features a minimal, boxy design that's reminiscent of the Fire TV Cube, with that minimalism extending to what you'll receive along with the Blaster hardware. The rear of the device sports two ports, one USB for power and a dedicated port for attaching the included IR extender — which can help it send commands to devices enclosed inside of entertainment centers or other hard-to-reach places.
The Fire TV Blaster is currently available for pre-order for $35 with an expected release date of December 11. Amazon is also offering the Blaster as part of a discounted bundle alongside an Echo Dot and a Fire TV Stick 4K for $80.
Source:
Amazon Support
Buy:
Amazon


With over 6,100 stores located throughout the United States and 17 countries, we are the retail destination for gamers around the world. Our GameStop, EB Games and Electronics Boutique retail locations set us apart in the industry.
Everything that we offer our customers-from our expansive selection of new products, to our knowledgeable associates and our value-added pre-owned products-is geared to deliver customer satisfaction.


Click for real answer!
Warning: The "Next" button will only be enabled when your centroid region is on the plot.


Mpurse is the Monaparty's Chrome extension.
Mpchain is the Monaparty's blockchain explorer.
MONA or whatever tokens are welcome.
MLinW5mA2Rnu7EjDQpnsrh6Z8APMBH6rAt


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 5
Dietary
Sweet apple and salty cheese make a scrumptious tea bread that is great to make with kids - only a little grown-up help required.
Before cooking, wash your hands and put on an apron. Weigh or measure all the ingredients. Ask a grown-up to preheat the oven at 180C/350F/Gas 4. Brush the inside of a 500g loaf tin with a little oil and place it on a baking tray.
Place the flour, baking powder and butter into a bowl. Rub them together using your fingertips (as if you are tickling the mixture) until you get a fine crumbly mixture.
Ask a grown-up to help you cut up the apple into small bite-sized pieces. Add these to the bowl with the grated cheese.
Now break the egg in the cup and beat it with the fork. Then add it to the flour mixture. Add a bit of apple juice to moisten the mixture. It should be a thick batter, so you may not need all the apple juice.
Spoon the batter into the loaf tin and sprinkle the top with the extra cheese. Ask a grown-up to put it in the oven for about 20-25 minutes, or until it is golden brown and has risen well. Serve the loaf with fresh apple chunks.


My name is Diogo. Welcome to my personal page.Check out what I've been doing.
Who am I?
This whole page is quite old, and it's main purpose was to be a portfolio page when I was looking for a job.
I will update it one day, maybe.
Email: diogo.am.vasconcelos at gmail.com
Linkdin: Diogo Vasconcelos
Github: @diogoamvasconcelos
Here is my CV


I'm Nashat Al zaatreh, originally I'm a civil engineer, I graduated from the university of Jordan at January, 2018, and I worked as a site engineer and as a customer support agent.
About me
It isn't where you came from. It's where you're going that counts.
During my career I have acquired a number of great skills like: communication skills, time management, and computer skills ,but I didn’t feel there was an opportunity to grow or advance further so I decided a change would best for me.
Fortunately, when I decided to learn software development, I saw ASAC scholarship, it's aim to improve students' programming skills while qualifying them for current and future employment within the tech field.
I started off this ASAC program with no prior formal knowledge in programming. By the end of the course, I will have a clearer understanding of what programming is about and the almost limitless things one can do with programming. I am also confident to say now that learning a set of new skills that are not related to my feild of study is something absolutely do-able.
The tech industry needs a passionate devs
I enjoy being challenged and engaging with projects that require me to work outside my comfort and knowledge set, as continuing to learn new languages and development techniques are important to me.
Top ten skills I had acquired
- Time managment skills
- Work under pressure
- Comunication Skills
- Microsoft office
- Reporting skills
- Team leader
- Team work
- JavaScript
- HTML
- CSS
My work experience and education summary
- Education: Bachelor’s Degree in Civil Engineering - University of Jordan
- Work: Customer Support Agent - Extensya
- Training: software Development - ASAC


Before Change
os.symlink(path, bundle_path)
fileset_empty = False
if fileset_empty:
raise TaskError("In target {}, bundle index {} of "bundles" field does not match any files.".format(
app.address.spec, bundle_counter))
return bundle_dir
def check_basename_conflicts(self, targets):
Apps" basenames are used as bundle directory names. Ensure they are all unique.
After Change
if dir_count == 1 and file_count == 0:
// When this deprecation finishes, we should remove symlinking of directories into the
// bundle (which implicitly includes their contents), and instead create them using mkdir.
spec = os.path.relpath(bundle.filemap.keys()[0], get_buildroot())
deprecated_conditional(
lambda: True,
"1.5.0.dev0",


{{g.DisplayName}}
|
Study {{study}} |
{{a}} |
Hall {{hall}} |
{{b}} |
Lounge {{lounge}} |
|
{{c}} |
{{d}} |
{{e}} |
||
|
Library {{library}} |
{{f}} |
Billiard Room {{billiard}} |
{{g}} |
Dining Room {{dining}} |
|
{{h}} |
{{i}} |
{{j}} |
||
|
Conservatory {{conservatory}} |
{{k}} |
Ballroom {{ballroom}} |
{{l}} |
Kitchen {{kitchen}} |
{{log}}
{{card}}


It's hosted on {{server}}, so what do you expect? Duh...
Uptime: {{uptime.day}} days, {{uptime.hour}} hours, {{uptime.min}} minutes.
{{memory.percent}}% used Total: {{memory.total}} Available: {{memory.available}}


Instructions Step 1: Make the proper connection by clicking the node as instructed below. If the wire is misplaced, click the node number to deattach the nodes' wire.
From
1
2
3
7
8
9
10
11
13
To
4
5
6
10
11
16
12
15
14
Step 2: Click "Check" button.
if connection is correct, an alert appers. Click ok. Now, go to step 4.
if connection is wrong, an alert appers. Click ok. Now, go to step 3.
Step 3: Check the connection, if incorrect, click on node number to remove any particular connection(s) or click on reset button and start from step 1. Step 4: Switch on the MCB. Step 5: Move the slider to change the voltage values Step 6: Take readings from Rotor, Voltmeter, and Ammeter. Step 7: Click "Add to table" button to insert the values in the table. Step 8: Follow the procedure from step 5 to step 7, till you have the >=8 readings on the table. Step 9: After taking minimum 8 readings, click the "Graph" button. Step 10: Click "Print" button, to print the full connections with graph and table in landscape mode.


A web application to encourage healthy and mindful caffeine intake
Our vision is to initiate a resource for college students to track the amount of caffeine they consume and help them reduce unhealthy use of the stimulant.
We hope to provide a website that can achieve this by reminding students of the harmful effects of a dependence on the stimulant, and providing a useful resource to log intake to calculate the approximate halflife of caffeine in their system.


The 8-stack multi station and functional trainer are fantastic pieces of kit that can act as a one stop shop for an entire body workout!
They combine cables with different attachments to provide an endless list of exercises!
This program will help you develop a strong, toned core. You may only think you are working your arms, but it is the body positioning that really makes your abs work too.
Begin with 2 sets of 12 and have a 30 seconds rest between exercises. If this is easy, then increase the weight and shorten the rest period to 15 seconds.


The Emerald City of Oz
by L. Frank Baum
Chapter 17: “How They Came to Bunbury”
Additional Information
- Year Published: 1910
- Language: English
- Country of Origin: United States of America
- Source: Baum, L. F. (1910). The Emerald City of Oz. Chicago, IL: Reilly and Britton.
-
Readability:
- Flesch–Kincaid Level: 6.0
- Word Count: 2,724
- Genre: Fantasy
- ✎ Cite This
Downloads
Wandering through the woods, without knowing where you are going or what adventure you are about to meet next, is not as pleasant as one might think. The woods are always beautiful and impressive, and if you are not worried or hungry you may enjoy them immensely; but Dorothy was worried and hungry that morning, so she paid little attention to the beauties of the forest, and hurried along as fast as she could go. She tried to keep in one direction and not circle around, but she was not at all sure that the direction she had chosen would lead her to the camp.
By and by, to her great joy, she came upon a path. It ran to the right and to the left, being lost in the trees in both directions, and just before her, upon a big oak, were fastened two signs, with arms pointing both ways. One sign read:
TAKE THE OTHER ROAD TO BUNBURY
and the second sign read:
TAKE THE OTHER ROAD TO BUNNYBURY
“Well!” exclaimed Billina, eyeing the signs, “this looks as if we were getting back to civilization again.”
“I’m not sure about the civil’zation, dear,” replied the little girl; “but it looks as if we might get SOMEWHERE, and that’s a big relief, anyhow.”
“Which path shall we take?” inquired the Yellow Hen.
Dorothy stared at the signs thoughtfully.
“Bunbury sounds like something to eat,” she said. “Let’s go there.”
“It’s all the same to me,” replied Billina. She had picked up enough bugs and insects from the moss as she went along to satisfy her own hunger, but the hen knew Dorothy could not eat bugs; nor could Toto.
The path to Bunbury seemed little traveled, but it was distinct enough and ran through the trees in a zigzag course until it finally led them to an open space filled with the strangest houses Dorothy had ever seen. They were all made of crackers laid out in tiny squares, and were of many pretty and ornamental shapes, having balconies and porches with posts of bread-sticks and roofs shingled with wafer-crackers.
There were walks of bread-crusts leading from house to house and forming streets, and the place seemed to have many inhabitants.
When Dorothy, followed by Billina and Toto, entered the place, they found people walking the streets or assembled in groups talking together, or sitting upon the porches and balconies.
And what funny people they were!
Men, women and children were all made of buns and bread. Some were thin and others fat; some were white, some light brown and some very dark of complexion. A few of the buns, which seemed to form the more important class of the people, were neatly frosted. Some had raisins for eyes and currant buttons on their clothes; others had eyes of cloves and legs of stick cinnamon, and many wore hats and bonnets frosted pink and green.
There was something of a commotion in Bunbury when the strangers suddenly appeared among them. Women caught up their children and hurried into their houses, shutting the cracker doors carefully behind them. Some men ran so hastily that they tumbled over one another, while others, more brave, assembled in a group and faced the intruders defiantly.
Dorothy at once realized that she must act with caution in order not to frighten these shy people, who were evidently unused to the presence of strangers. There was a delightful fragrant odor of fresh bread in the town, and this made the little girl more hungry than ever. She told Toto and Billina to stay back while she slowly advanced toward the group that stood silently awaiting her.
“You must ‘scuse me for coming unexpected,” she said, softly, “but I really didn’t know I was coming here until I arrived. I was lost in the woods, you know, and I’m as hungry as anything.”
“Hungry!” they murmured, in a horrified chorus.
 “Are there any eatables in Bunbury?”
They looked at one another undecidedly, and then one portly bun man, who seemed a person of consequence, stepped forward and said:
“Little girl, to be frank with you, we are all eatables.  But it is to escape being eaten and destroyed that we have secluded ourselves in this out-of-the-way place, and there is neither right nor justice in your coming here to feed upon us.”
Dorothy looked at him longingly.
“You’re bread, aren’t you?” she asked.
“Yes; bread and butter. The butter is inside me, so it won’t melt and run. I do the running myself.”
At this joke all the others burst into a chorus of laughter, and Dorothy thought they couldn’t be much afraid if they could laugh like that.
“Couldn’t I eat something besides people?” she asked. “Couldn’t I eat just one house, or a side-walk or something? I wouldn’t mind much what it was, you know.”
“This is not a public bakery, child,” replied the man, sternly. “It’s private property.”
“I know Mr.—Mr.—”
“My name is C. Bunn, Esquire,” said the man. “‘C’ stands for Cinnamon, and this place is called after my family, which is the most aristocratic in the town.”
“Oh, I don’t know about that,” objected another of the strange people. “The Grahams and the Browns and Whites are all excellent families, and there is none better of their kind. I’m a Boston Brown, myself.”
“I admit you are all desirable citizens,” said Mr. Bunn rather stiffly; “but the fact remains that our town is called Bunbury.”
“’Scuse me,” interrupted Dorothy; “but I’m getting hungrier every minute. Now, if you’re polite and kind, as I’m sure you ought to be, you’ll let me eat SOMETHING.
Then a big, puffed-up man, of a delicate brown color, stepped forward and said:
“I think it would be a shame to send this child away hungry, especially as she agrees to eat whatever we can spare and not touch our people.”
“So do I, Pop,” replied a Roll who stood near.
“What, then, do you suggest, Mr. Over?” inquired Mr. Bunn.
“Why, I’ll let her eat my back fence, if she wants to. It’s made of waffles, and they’re very crisp and nice.”
“She may also eat my wheelbarrow,” added a pleasant looking Muffin. “It’s made of nabiscos with a zuzu wheel.”
“Very good; very good,” remarked Mr. Bunn. “That is certainly very kind of you.  “May I bring my dog Toto, and the Yellow Hen? They’re hungry, too.”
“Will you make them behave?” asked the Muffin.
“Of course,” promised Dorothy.
“Then come along,” said Pop Over.
So Dorothy and Billina and Toto walked up the street and the people seemed no longer to be at all afraid of them. Mr. Muffin’s house came first, and as his wheelbarrow stood in the front yard the little girl ate that first. It didn’t seem very fresh, but she was so hungry that she was not particular. Toto ate some, too, while Billina picked up the crumbs.
While the strangers were engaged in eating, many of the people came and stood in the street curiously watching them. Dorothy noticed six roguish looking brown children standing all in a row, and she asked:
“Who are you, little ones?”
“We’re the Graham Gems,” replied one; “and we’re all twins.”
“I wonder if your mother could spare one or two of you?” asked Billina, who decided that they were fresh baked; but at this dangerous question the six little gems ran away as fast as they could go.
“You mustn’t say such things, Billina,” said Dorothy, reprovingly. “Now let’s go into Pop Over’s backyard and get the waffles.”
“I sort of hate to let that fence go,” remarked Mr. Over, nervously, as they walked toward his house. “The neighbors back of us are Soda Biscuits, and I don’t care to mix with them.”
“But I’m hungry yet,” declared the girl. “That wheelbarrow wasn’t very big.”
“I’ve got a shortcake piano, but none of my family can play on it,” he said, reflectively.  Anything to be accommodating.”
So Mr. Over led her into the house, where she ate the piano, which was of an excellent flavor.
“Is there anything to drink here?” she asked.
“Yes; I’ve a milk pump and a water pump; which will you have?” he asked.
“I guess I’ll try ‘em both,” said Dorothy.
So Mr.
The wife of Pop Over was several shades darker than her husband.
“Aren’t you overdone?” the little girl asked her.
“No indeed,” answered the woman. “I’m neither overdone nor done over; I’m just Mrs. Over, and I’m the President of the Bunbury Breakfast Band.”
Dorothy thanked them for their hospitality and went away. At the gate Mr. Cinnamon Bunn met her and said he would show her around the town. “We have some very interesting inhabitants,” he remarked, walking stiffly beside her on his stick-cinnamon legs; “and all of us who are in good health are well bred. If you are no longer hungry we will call upon a few of the most important citizens.”
Toto and Billina followed behind them, behaving very well, and a little way down the street they came to a handsome residence where Aunt Sally Lunn lived. The old lady was glad to meet the little girl and gave her a slice of white bread and butter which had been used as a door-mat. It was almost fresh and tasted better than anything Dorothy had eaten in the town.
“Where do you get the butter?” she inquired.
“We dig it out of the ground, which, as you may have observed, is all flour and meal,” replied Mr. Bunn. “There is a butter mine just at the opposite side of the village.
“No,” said he; “we are bothered with cracker dust sometimes, but never with flour.”
Then he took her to see Johnny Cake, a cheerful old gentleman who lived near by.
“I suppose you’ve heard of me,” said old Johnny, with an air of pride. “I’m a great favorite all over the world.”
“Aren’t you rather yellow?” asked Dorothy, looking at him critically.
“Maybe, child. But don’t think I’m bilious, for I was never in better health in my life,” replied the old gentleman. “If anything ailed me, I’d willingly acknowledge the corn.”
“Johnny’s a trifle stale,” said Mr. Bunn, as they went away; “but he’s a good mixer and never gets cross-grained. I will now take you to call upon some of my own relatives.” They visited the Sugar Bunns, the Currant Bunns and the Spanish Bunns, the latter having a decidedly foreign appearance. Then they saw the French Rolls, who were very polite to them, and made a brief call upon the Parker H. Rolls, who seemed a bit proud and overbearing.
 I don’t like to be suspicious or talk scandal, but sometimes I think the Jumbles have too much baking powder in them.”
Just then a dreadful scream was heard, and Dorothy turned hastily around to find a scene of great excitement a little way down the street. The people were crowding around Toto and throwing at him everything they could find at hand. They pelted the little dog with hard-tack, crackers, and even articles of furniture which were hard baked and heavy enough for missiles.
Toto howled a little as the assortment of bake stuff struck him; but he stood still, with head bowed and tail between his legs, until Dorothy ran up and inquired what the matter was.
“Matter!” cried a rye loafer, indignantly, “why the horrid beast has eaten three of our dear Crumpets, and is now devouring a Salt-rising Biscuit!”
“Oh, Toto! How could you?” exclaimed Dorothy, much distressed.
 But Billina, who had flown to the top of a cracker house to be in a safe place, called out:
“Don’t blame him, Dorothy; the Crumpets dared him to do it.”
“Yes, and you pecked out the eyes of a Raisin Bunn—one of our best citizens!” shouted a bread pudding, shaking its fist at the Yellow Hen.
“What’s that! What’s that?” wailed Mr. Cinnamon Bunn, who had now joined them. “Oh, what a misfortune—what a terrible misfortune!”
“See here,” said Dorothy, determined to defend her pets, “I think we’ve treated you all pretty well, seeing you’re eatables an’ reg’lar food for us. I’ve been kind to you and eaten your old wheelbarrows and pianos and rubbish, an’ not said a word.
“Suppose we won’t go?” said Dorothy, who was now much provoked.
“Then,” said he, “we will put you into the great ovens where we are made, and bake you.”
Dorothy gazed around and saw threatening looks upon the faces of all. She had not noticed any ovens in the town, but they might be there, nevertheless, for some of the inhabitants seemed very fresh. So she decided to go, and calling to Toto and Billina to follow her she marched up the street with as much dignity as possible, considering that she was followed by the hoots and cries of the buns and biscuits and other bake stuff.


The Replacements (2000) 1 1/2 stars out of 4. Starring Keanu Reeves, Gene Hackman, Orlando Jones, Jon Favreau, Brooke Langton and Rhys Ifans. Written by Vince McKewin. Directed by Howard Deutch. Rated PG-13.
"The Replacements" is a difficult movie to dislike because its theme is one close to the hearts of all of us: Fulfilling a dream, getting a second chance.
And tackling that theme hard and clean would have made for a very fine feature.
Instead, the brains behind "The Replacements" fumbled the ball, giving us a mish-mash of comedy, male bonding, class strife and cheerleaders.
The trouble with "The Replacements" is that you have mixed feelings for these players. On one hand they're scabs. Of course the athletes they are replacing are spoiled, overpaid dolts who complain that once they give their commissions to their lawyers and agents or make the monthly payment on their souped-up sports car, there's hardly anything left to live on.
But on the other hand, these replacement players are guys looking for that elusive moment of glory, which is something we all can identify with.
So, from the outset your emotions are torn, which makes it difficult to wholly root for former college quarterback standout Shane Falco (Keanu Reeves) and his new teammates, thrown together by newly hired coach Jimmy McGinty (Gene Hackman).
Why the owner of the Washington Sentinels was forced to hire a new coach just because his players went on strike is never really explained. And that is one of the movie's many oversights and distractions.
One of the others are the players who comprise Falco's teammates. They are not really individuals, they are archetypes: a psycho SWAT team member; a mini-market janitor with great speed and bad hands; two big, black brothers who are former rock-star bodyguards; an ex-sumo wrestler; a deaf athlete; and a Bible spouting wide receiver.
All are played for comic relief and all are very cartoonish in character. The idea that they can jell as a team within a week is ludicrous and totally unbelievable.
Nor does Vince McKewin's script do Reeves any favors. You never get a clear focus on his character. He lacks that special spark that a successful quarterback must have to lead and inspire. He's too laid back, too quiet, too Keanu.
And director Howard Deutch doesn't help matters much, wasting a lot of footage showing fan reactions as well as the Sentinel cheerleaders gyrating through their monotonous routines.
I suspect Deutch was trying to pull a cinematic end run by shifting attention from his weak script.
What "The Replacements" needed was someone to intercept the script somewhere between the time it was greenlighted and filming began. Unfortunately, someone dropped the ball on this one.
Bob Bloom is the film critic at the Journal and Courier. in Lafayette, IN He can be reached by e-mail at<EMAIL_ADDRESS>or at<EMAIL_ADDRESS>Reviews by Bloom can be found on the Internet Movie Database at: http://www.imdb.com/M/reviews_by?Bob+Bloom
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
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to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


{{ content }}
ABOUT
We are programmers, lives in Hangzhou, Zhejiang, China. The difference with other programmers is We are software architects (or want to be), particularly love . NET Core, but we also embrace all the new stuff. (^<>^)
A man like we, are unique in the world of existence, no matter where you go, there belonging to our stage. Like desert gold, light can not hide forever! Especially our messy hair, melancholy eyes, sigh of stubble, handsome face, are deeply addicted whom even we.
PEOPLE


Encapsulate implicit state that is useful for Bokeh plotting APIs.
Generating output for Bokeh plots requires coordinating several things:
It is certainly possible to handle the configuration of these objects manually, and several examples of this can be found in examples/glyphs. When developing sophisticated applications, it may be necessary or desirable to work at this level. However, for general use this would quickly become burdensome. The bokeh.state module provides a State class that encapsulates these objects and ensures their proper configuration.
Manage state related to controlling Bokeh output.
a default document to use
dict
default filename, resources, etc. for file output This dictionary has the following form:
{
'filename' : # filename to use when saving
'resources' : # resources configuration
'autosave' : # whether to autosave
'title' : # a title for the HTML document
}
bool
whether to generate notebook output
a default session for Bokeh server output
Output to a static HTML file.
| Parameters: |
|
|---|
Warning
This output file will be overwritten on every save, e.g., each time show() or save() is invoked, or any time a Bokeh plotting API causes a save, if autosave is True.
Generate output in Jupyter/IPython notebook cells.
| Parameters: |
|
|---|---|
| Returns: | None |
Store Bokeh plots and objects on a Bokeh server.
| Parameters: |
|
|---|---|
| Returns: | None |
Warning
Calling this function will replace any existing default session.
Deactivate all currently active output modes.
Subsequent calls to show() will not render until a new output mode is activated.
| Returns: | None |
|---|
Functions for configuring Bokeh output.
Return the document for the current default state.
| Returns: | the current default document object. |
|---|---|
| Return type: | doc |
Note
When using this API form within the server (e.g. in a Bokeh app), the appropriate document from the request context is returned, rather than the standard default global state.
Return the session for the current default state, if there is one.
| Returns: | the current default session object (or None) |
|---|---|
| Return type: | session |
Generate a plot that arranges several subplots into a grid.
| Parameters: |
|
|---|
Note
plot_arrangement can be nested, e.g [[p1, p2], [p3, p4]]
| Returns: | a new GridPlot |
|---|---|
| Return type: | grid_plot |
Generate a layout that arranges several subplots horizontally.
Configure the default output state to generate output saved to a file when show() is called.
| Parameters: |
|
|---|---|
| Returns: | None |
Note
Generally, this should be called at the beginning of an interactive session or the top of a script.
Warning
This output file will be overwritten on every save, e.g., each time show() or save() is invoked, or any time a Bokeh plotting API causes a save, if autosave is True.
Configure the default output state to generate output in Jupyter/IPython notebook cells when show() is called.
| Parameters: |
|
|---|---|
| Returns: | None |
Note
Generally, this should be called at the beginning of an interactive session or the top of a script.
Configure the default output state to generate output that gets pushed to a bokeh-server when show() or push() is called.
| Parameters: |
|
|---|---|
| Returns: | None |
Note
Generally, this should be called at the beginning of an interactive session or the top of a script.
Warning
Calling this function will replace any existing default session.
Update the server with the data for the current document.
Will fall back to the default output state (or an explicitly provided State object) for session or document if they are not provided.
| Parameters: |
|
|---|---|
| Returns: | None |
Clear the default state of all output modes.
| Returns: | None |
|---|
Save an HTML file with the data for the current document.
Will fall back to the default output state (or an explicitly provided State object) for filename, resources, or title if they are not provided.
| Parameters: |
|
|---|---|
| Returns: | None |
| Raises: | RuntimeError – |
Immediately display a plot object.
In an IPython/Jupyter notebook, the output is displayed in an output cell. Otherwise, a browser window or tab is autoraised to display the plot object.
If both a server session and notebook output have been configured on the default output state then the notebook output will be generated to load the plot from that server session.
| Parameters: |
|
|---|---|
| Returns: | None |
Note
The browser and new parameters are ignored when showing in an IPython/Jupyter notebook.
Generate a layout that arranges several subplots vertically.
The resources module provides the Resources class for easily configuring how BokehJS code and CSS resources should be located, loaded, and embedded in Bokeh documents.
Also provides some pre-configured Resources objects:
load minified BokehJS from CDN
provide minified BokehJS from library static directory
The Resources class encapsulates information relating to loading or embedding BokehJS code and CSS.
| Parameters: |
|
|---|
The following mode values are available for configuring a Resource object:
Once configured, a Resource object exposes the following public attributes:
location of the BokehJS logo image
any raw JS that needs to be placed inside <script> tags
any raw CSS that needs to be places inside <style> tags
URLs of any JS files that need to be loaded by <script> tags
URLS od any CSS files that need to be loaed by <link> tags
any informational messages concering this configuration
These attributes are often useful as template parameters when embedding Bokeh plots.
This module provides functions for embedding Bokeh plots in various different ways.
There are a number of different combinations of options when embedding Bokeh plots. The data for the plot can be contained in the document, or on a Bokeh server, or in a sidecar JavaScript file. Likewise, BokehJS may be inlined in the document, or loaded from CDN or a Bokeh server.
The functions in bokeh.embed provide functionality to embed in all these different cases.
Return a script tag that can be used to embed Bokeh Plots from a Bokeh Server.
The data for the plot is stored on the Bokeh Server.
| Parameters: |
|
|---|---|
| Returns: | a <script> tag that will execute an autoload script loaded from the Bokeh Server |
| Return type: | tag |
Return JavaScript code and a script tag that can be used to embed Bokeh Plots.
The data for the plot is stored directly in the returned JavaScript code.
| Parameters: |
|
|---|---|
| Returns: | (js, tag) : JavaScript code to be saved at script_path and a <script> tag to load it |
| Raises: | ValueError – |
Return HTML components to embed a Bokeh plot.
The data for the plot is stored directly in the returned HTML.
Note
The returned components assume that BokehJS resources are already loaded.
| Parameters: |
|
|---|---|
| Returns: | (script, div) : UTF-8 encoded |
Return an HTML document that embeds a Bokeh plot.
The data for the plot is stored directly in the returned HTML.
| Parameters: |
|
|---|---|
| Returns: | standalone HTML document with embedded plot |
| Return type: | html |
Return HTML for a div that will display a Bokeh plot in an IPython Notebook
The data for the plot is stored directly in the returned HTML.
| Parameters: | plot_object (PlotObject) – Bokeh object to render typically a Plot or PlotContext |
|---|---|
| Returns: | UTF-8 encoded HTML text |
| Return type: | div |
Note
Assumes bokeh.load_notebook() or the equivalent has already been executed.
The templates module contains templates used by Bokeh to enable embedding Bokeh plots in various ways.
This template is for loading BokehJS code and css according to the configuration in a Resources object.
| param css_files: | |
|---|---|
| a list of URIs for CSS files to include | |
| type css_files: | list[str] |
| param js_files: | a list of URIs for JS files to include |
| type js_files: | list[str] |
| param css_raw: | a list of raw CSS snippets to put between <style> tags |
| type css_raw: | list[str] |
| param js_raw: | a list of raw JS snippets to put between <style> tags |
| type js_raw: | list[str] |
This template is for creating a basic plot div (to be used in conjunction with PLOT_JS).
| param elementid: | |
|---|---|
| a unique identifier for the div a PLOT_JS template should be configured with the same elementid | |
| type elementid: | str |
This template is for creating the JavaScript code snippet that can render a plot into a corresponding PLOT_DIV.
| param modelid: | The Bokeh model id for the object to render typically for a Plot, PlotContext, etc. |
|---|---|
| type modelid: | str |
| param modeltype: | |
| the type of the model to render used to reference the appropriate Backbone collection | |
| type modeltype: | str |
| param elementid: | |
| the id of the div to render the plot into | |
| type elementid: | str |
This template is for creating a full <script> tag for raw JS code. Useful with the PLOT_JS template.
| param plot_js: | raw JavaScript code to include |
|---|---|
| type plot_js: | str |
This template is for rendering Bokeh plots into a basic .html file.
| param title: | a value for <title> tags |
|---|---|
| type title: | str |
| param plot_resources: | |
| typically the output of RESOURCES | |
| type plot_resources: | |
| str | |
| param plot_script: | |
| typically the output of PLOT_SCRIPT | |
| type plot_script: | |
| str | |
| param plot_div: | typically the output of PLOT_DIV |
| type plot_div: | str |
| param Users can customize the file output by providing their own template with these parameters.: | |
This template is for loading BokehJS code and CSS into the IPython Notebook according to a resources configuration.
| param plot_resources: | |
|---|---|
| typically the output of RESOURCES | |
| type plot_resources: | |
| str | |
| param log_url: | URL to Bokeh logo to dispay |
| type log_url: | str |
| param verbose: | whether to display verbose info about BokehJS configuration, etc |
| type verbose: | bool |
| param bokeh_version: | |
| the current version of Bokeh | |
| type bokeh_version: | |
| str | |
| param js_info: | information about the location, version, etc. of BokehJS code |
| type js_info: | str |
| param css_info: | information about the location, version, etc. of BokehJS css |
| type css_info: | str |
| param warnings: | list of warnings to display to user |
| type warnings: | list[str] |
This template is for rendering a Bokeh plot into the IPython Notebook.
| param plot_script: | |
|---|---|
| typically the output of PLOT_SCRIPT | |
| type plot_script: | |
| str | |
| param plot_div: | typically the output of PLOT_DIV |
| type plot_div: | str |
This template is for creating a sidecar JS file that will automatically and asynchronously load BokehJS (if necessary) and then replaces the script tag that loads it (with appropriate attributes) with a rendered plot.
This template is for creating <script> tags that run AUTOLOAD scripts for plots that connect to a Bokeh Server for their data
| param src_path: | path to AUTOLOAD script |
|---|---|
| type src_path: | str |
| param elementid: | |
| the a unique id for the script tag | |
| type elementid: | str |
| param modelid: | The Bokeh model id for the object to render typically for a Plot, PlotContext, etc. |
| type modelid: | str |
| param root_url: | root URL of the Bokeh Server |
| type root_url: | str |
| param docid: | document ID for the document on the server to load |
| type docid: | str |
| param docapikey: | |
| API key for the document | |
| type docapikey: | str |
This template is for creating <script> tags that run AUTOLOAD scripts for plots that have their data embedded in the AUTOLOAD script
| param src_path: | path to AUTOLOAD script |
|---|---|
| type src_path: | str |
| param elementid: | |
| the a unique id for the script tag | |
| type elementid: | str |
| param modelid: | The Bokeh model id for the object to render typically for a Plot, PlotContext, etc. |
| type modelid: | str |
| param modeltype: | |
| the type of the model to render used to reference the appropriate Backbone collection | |
| type modeltype: | str |
Note
This script injects a <div> in place, so must be placed under <body>.


Hash Functions
Hash functions can be used for the deterministic pseudo-random shuffling of elements.
Simhash is a hash function, which returns close hash values for close (similar) arguments.
halfMD5
Interprets all the input parameters as strings and calculates the MD5 hash value for each of them. Then combines hashes, takes the first 8 bytes of the hash of the resulting string, and interprets them as UInt64
in big-endian byte order.
halfMD5(par1, ...)
The function is relatively slow (5 million short strings per second per processor core).
Consider using the sipHash64 function instead.
Arguments
The function takes a variable number of input parameters. Arguments can be any of the supported data types.
Returned Value
A UInt64 data type hash value.
Example
SELECT halfMD5(array('e','x','a'), 'mple', 10, toDateTime('2019-06-15 23:00:00')) AS halfMD5hash, toTypeName(halfMD5hash) AS type;
┌────────halfMD5hash─┬─type───┐
│<PHONE_NUMBER>41653334 │ UInt64 │
└────────────────────┴────────┘
MD5
Calculates the MD5 from a string and returns the resulting set of bytes as FixedString(16).
If you do not need MD5 in particular, but you need a decent cryptographic 128-bit hash, use the ‘sipHash128’ function instead.
If you want to get the same result as output by the md5sum utility, use lower(hex(MD5(s))).
sipHash64
Produces a 64-bit SipHash hash value.
sipHash64(par1,...)
This is a cryptographic hash function. It works at least three times faster than the MD5 function.
Function interprets all the input parameters as strings and calculates the hash value for each of them. Then combines hashes by the following algorithm:
- After hashing all the input parameters, the function gets the array of hashes.
- Function takes the first and the second elements and calculates a hash for the array of them.
- Then the function takes the hash value, calculated at the previous step, and the third element of the initial hash array, and calculates a hash for the array of them.
- The previous step is repeated for all the remaining elements of the initial hash array.
Arguments
The function takes a variable number of input parameters. Arguments can be any of the supported data types.
Returned Value
A UInt64 data type hash value.
Example
SELECT sipHash64(array('e','x','a'), 'mple', 10, toDateTime('2019-06-15 23:00:00')) AS SipHash, toTypeName(SipHash) AS type;
┌──────────────SipHash─┬─type───┐
│<PHONE_NUMBER>4472839665 │ UInt64 │
└──────────────────────┴────────┘
sipHash128
Calculates SipHash from a string.
Accepts a String-type argument. Returns FixedString(16).
Differs from sipHash64 in that the final xor-folding state is only done up to 128 bits.
cityHash64
Produces a 64-bit CityHash hash value.
cityHash64(par1,...)
This is a fast non-cryptographic hash function. It uses the CityHash algorithm for string parameters and implementation-specific fast non-cryptographic hash function for parameters with other data types. The function uses the CityHash combinator to get the final results.
Arguments
The function takes a variable number of input parameters. Arguments can be any of the supported data types.
Returned Value
A UInt64 data type hash value.
Examples
Call example:
SELECT cityHash64(array('e','x','a'), 'mple', 10, toDateTime('2019-06-15 23:00:00')) AS CityHash, toTypeName(CityHash) AS type;
┌─────────────CityHash─┬─type───┐
│<PHONE_NUMBER>8913549138 │ UInt64 │
└──────────────────────┴────────┘
The following example shows how to compute the checksum of the entire table with accuracy up to the row order:
SELECT groupBitXor(cityHash64(*)) FROM table
intHash32
Calculates a 32-bit hash code from any type of integer.
This is a relatively fast non-cryptographic hash function of average quality for numbers.
intHash64
Calculates a 64-bit hash code from any type of integer.
It works faster than intHash32. Average quality.
SHA1
SHA224
SHA256
SHA512
Calculates SHA-1, SHA-224, SHA-256 or SHA-512 from a string and returns the resulting set of bytes as FixedString(20), FixedString(28), FixedString(32), or FixedString(64).
The function works fairly slowly (SHA-1 processes about 5 million short strings per second per processor core, while SHA-224 and SHA-256 process about 2.2 million).
We recommend using this function only in cases when you need a specific hash function and you can’t select it.
Even in these cases, we recommend applying the function offline and pre-calculating values when inserting them into the table, instead of applying it in SELECTS.
URLHash(url[, N])
A fast, decent-quality non-cryptographic hash function for a string obtained from a URL using some type of normalization.
URLHash(s)
– Calculates a hash from a string without one of the trailing symbols /
,?
or #
at the end, if present.
URLHash(s, N)
– Calculates a hash from a string up to the N level in the URL hierarchy, without one of the trailing symbols /
,?
or #
at the end, if present.
Levels are the same as in URLHierarchy. This function is specific to Yandex.Metrica.
farmFingerprint64
farmHash64
Produces a 64-bit FarmHash or Fingerprint value. farmFingerprint64
is preferred for a stable and portable value.
farmFingerprint64(par1, ...)
farmHash64(par1, ...)
These functions use the Fingerprint64
and Hash64
methods respectively from all available methods.
Arguments
The function takes a variable number of input parameters. Arguments can be any of the supported data types.
Returned Value
A UInt64 data type hash value.
Example
SELECT farmHash64(array('e','x','a'), 'mple', 10, toDateTime('2019-06-15 23:00:00')) AS FarmHash, toTypeName(FarmHash) AS type;
┌─────────────FarmHash─┬─type───┐
│<PHONE_NUMBER>7262532859 │ UInt64 │
└──────────────────────┴────────┘
javaHash
Calculates JavaHash from a string. This hash function is neither fast nor having a good quality. The only reason to use it is when this algorithm is already used in another system and you have to calculate exactly the same result.
Syntax
SELECT javaHash('')
Returned value
A Int32
data type hash value.
Example
Query:
SELECT javaHash('Hello, world!');
Result:
┌─javaHash('Hello, world!')─┐
│ -1880044555 │
└───────────────────────────┘
javaHashUTF16LE
Calculates JavaHash from a string, assuming it contains bytes representing a string in UTF-16LE encoding.
Syntax
javaHashUTF16LE(stringUtf16le)
Arguments
stringUtf16le
— a string in UTF-16LE encoding.
Returned value
A Int32
data type hash value.
Example
Correct query with UTF-16LE encoded string.
Query:
SELECT javaHashUTF16LE(convertCharset('test', 'utf-8', 'utf-16le'));
Result:
┌─javaHashUTF16LE(convertCharset('test', 'utf-8', 'utf-16le'))─┐
│ 3556498 │
└──────────────────────────────────────────────────────────────┘
hiveHash
Calculates HiveHash
from a string.
SELECT hiveHash('')
This is just JavaHash with zeroed out sign bit. This function is used in Apache Hive for versions before 3.0. This hash function is neither fast nor having a good quality. The only reason to use it is when this algorithm is already used in another system and you have to calculate exactly the same result.
Returned value
A Int32
data type hash value.
Type: hiveHash
.
Example
Query:
SELECT hiveHash('Hello, world!');
Result:
┌─hiveHash('Hello, world!')─┐
│ 267439093 │
└───────────────────────────┘
metroHash64
Produces a 64-bit MetroHash hash value.
metroHash64(par1, ...)
Arguments
The function takes a variable number of input parameters. Arguments can be any of the supported data types.
Returned Value
A UInt64 data type hash value.
Example
SELECT metroHash64(array('e','x','a'), 'mple', 10, toDateTime('2019-06-15 23:00:00')) AS MetroHash, toTypeName(MetroHash) AS type;
┌────────────MetroHash─┬─type───┐
│<PHONE_NUMBER>6382344533 │ UInt64 │
└──────────────────────┴────────┘
jumpConsistentHash
Calculates JumpConsistentHash form a UInt64.
Accepts two arguments: a UInt64-type key and the number of buckets. Returns Int32.
For more information, see the link: JumpConsistentHash
murmurHash2_32, murmurHash2_64
Produces a MurmurHash2 hash value.
murmurHash2_32(par1, ...)
murmurHash2_64(par1, ...)
Arguments
Both functions take a variable number of input parameters. Arguments can be any of the supported data types.
Returned Value
- The
murmurHash2_32
function returns hash value having the UInt32 data type. - The
murmurHash2_64
function returns hash value having the UInt64 data type.
Example
SELECT murmurHash2_64(array('e','x','a'), 'mple', 10, toDateTime('2019-06-15 23:00:00')) AS MurmurHash2, toTypeName(MurmurHash2) AS type;
┌──────────MurmurHash2─┬─type───┐
│<PHONE_NUMBER>1709403633 │ UInt64 │
└──────────────────────┴────────┘
gccMurmurHash
Calculates a 64-bit MurmurHash2 hash value using the same hash seed as gcc. It is portable between CLang and GCC builds.
Syntax
gccMurmurHash(par1, ...)
Arguments
par1, ...
— A variable number of parameters that can be any of the supported data types.
Returned value
- Calculated hash value.
Type: UInt64.
Example
Query:
SELECT
gccMurmurHash(1, 2, 3) AS res1,
gccMurmurHash(('a', [1, 2, 3], 4, (4, ['foo', 'bar'], 1, (1, 2)))) AS res2
Result:
┌─────────────────res1─┬────────────────res2─┐
│<PHONE_NUMBER>9245979431 │<PHONE_NUMBER>431157506 │
└──────────────────────┴─────────────────────┘
murmurHash3_32, murmurHash3_64
Produces a MurmurHash3 hash value.
murmurHash3_32(par1, ...)
murmurHash3_64(par1, ...)
Arguments
Both functions take a variable number of input parameters. Arguments can be any of the supported data types.
Returned Value
- The
murmurHash3_32
function returns a UInt32 data type hash value. - The
murmurHash3_64
function returns a UInt64 data type hash value.
Example
SELECT murmurHash3_32(array('e','x','a'), 'mple', 10, toDateTime('2019-06-15 23:00:00')) AS MurmurHash3, toTypeName(MurmurHash3) AS type;
┌─MurmurHash3─┬─type───┐
│ 2152717 │ UInt32 │
└─────────────┴────────┘
murmurHash3_128
Produces a 128-bit MurmurHash3 hash value.
murmurHash3_128( expr )
Arguments
expr
— Expressions returning a String-type value.
Returned Value
A FixedString(16) data type hash value.
Example
SELECT hex(murmurHash3_128('example_string')) AS MurmurHash3, toTypeName(MurmurHash3) AS type;
┌─MurmurHash3──────────────────────┬─type───┐
│ 368A1A311CB7342253354B548E7E7E71 │ String │
└──────────────────────────────────┴────────┘
xxHash32, xxHash64
Calculates xxHash
from a string. It is proposed in two flavors, 32 and 64 bits.
SELECT xxHash32('')
OR
SELECT xxHash64('')
Returned value
A Uint32
or Uint64
data type hash value.
Type: xxHash
.
Example
Query:
SELECT xxHash32('Hello, world!');
Result:
┌─xxHash32('Hello, world!')─┐
│ 834093149 │
└───────────────────────────┘
See Also
ngramSimHash
Splits a ASCII string into n-grams of ngramsize
symbols and returns the n-gram simhash
. Is case sensitive.
Can be used for detection of semi-duplicate strings with bitHammingDistance. The smaller is the Hamming Distance of the calculated simhashes
of two strings, the more likely these strings are the same.
Syntax
ngramSimHash(string[, ngramsize])
Arguments
string
— String. String.ngramsize
— The size of an n-gram. Optional. Possible values: any number from1
to25
. Default value:3
. UInt8.
Returned value
- Hash value.
Type: UInt64.
Example
Query:
SELECT ngramSimHash('ClickHouse') AS Hash;
Result:
┌───────Hash─┐
│<PHONE_NUMBER> │
└────────────┘
ngramSimHashCaseInsensitive
Splits a ASCII string into n-grams of ngramsize
symbols and returns the n-gram simhash
. Is case insensitive.
Can be used for detection of semi-duplicate strings with bitHammingDistance. The smaller is the Hamming Distance of the calculated simhashes
of two strings, the more likely these strings are the same.
Syntax
ngramSimHashCaseInsensitive(string[, ngramsize])
Arguments
string
— String. String.ngramsize
— The size of an n-gram. Optional. Possible values: any number from1
to25
. Default value:3
. UInt8.
Returned value
- Hash value.
Type: UInt64.
Example
Query:
SELECT ngramSimHashCaseInsensitive('ClickHouse') AS Hash;
Result:
┌──────Hash─┐
│ 562180645 │
└───────────┘
ngramSimHashUTF8
Splits a UTF-8 string into n-grams of ngramsize
symbols and returns the n-gram simhash
. Is case sensitive.
Can be used for detection of semi-duplicate strings with bitHammingDistance. The smaller is the Hamming Distance of the calculated simhashes
of two strings, the more likely these strings are the same.
Syntax
ngramSimHashUTF8(string[, ngramsize])
Arguments
string
— String. String.ngramsize
— The size of an n-gram. Optional. Possible values: any number from1
to25
. Default value:3
. UInt8.
Returned value
- Hash value.
Type: UInt64.
Example
Query:
SELECT ngramSimHashUTF8('ClickHouse') AS Hash;
Result:
┌───────Hash─┐
│<PHONE_NUMBER> │
└────────────┘
ngramSimHashCaseInsensitiveUTF8
Splits a UTF-8 string into n-grams of ngramsize
symbols and returns the n-gram simhash
. Is case insensitive.
Can be used for detection of semi-duplicate strings with bitHammingDistance. The smaller is the Hamming Distance of the calculated simhashes
of two strings, the more likely these strings are the same.
Syntax
ngramSimHashCaseInsensitiveUTF8(string[, ngramsize])
Arguments
string
— String. String.ngramsize
— The size of an n-gram. Optional. Possible values: any number from1
to25
. Default value:3
. UInt8.
Returned value
- Hash value.
Type: UInt64.
Example
Query:
SELECT ngramSimHashCaseInsensitiveUTF8('ClickHouse') AS Hash;
Result:
┌───────Hash─┐
│<PHONE_NUMBER> │
└────────────┘
wordShingleSimHash
Splits a ASCII string into parts (shingles) of shinglesize
words and returns the word shingle simhash
. Is case sensitive.
Can be used for detection of semi-duplicate strings with bitHammingDistance. The smaller is the Hamming Distance of the calculated simhashes
of two strings, the more likely these strings are the same.
Syntax
wordShingleSimHash(string[, shinglesize])
Arguments
string
— String. String.shinglesize
— The size of a word shingle. Optional. Possible values: any number from1
to25
. Default value:3
. UInt8.
Returned value
- Hash value.
Type: UInt64.
Example
Query:
SELECT wordShingleSimHash('ClickHouse® is a column-oriented database management system (DBMS) for online analytical processing of queries (OLAP).') AS Hash;
Result:
┌───────Hash─┐
│<PHONE_NUMBER> │
└────────────┘
wordShingleSimHashCaseInsensitive
Splits a ASCII string into parts (shingles) of shinglesize
words and returns the word shingle simhash
. Is case insensitive.
Can be used for detection of semi-duplicate strings with bitHammingDistance. The smaller is the Hamming Distance of the calculated simhashes
of two strings, the more likely these strings are the same.
Syntax
wordShingleSimHashCaseInsensitive(string[, shinglesize])
Arguments
string
— String. String.shinglesize
— The size of a word shingle. Optional. Possible values: any number from1
to25
. Default value:3
. UInt8.
Returned value
- Hash value.
Type: UInt64.
Example
Query:
SELECT wordShingleSimHashCaseInsensitive('ClickHouse® is a column-oriented database management system (DBMS) for online analytical processing of queries (OLAP).') AS Hash;
Result:
┌───────Hash─┐
│<PHONE_NUMBER> │
└────────────┘
wordShingleSimHashUTF8
Splits a UTF-8 string into parts (shingles) of shinglesize
words and returns the word shingle simhash
. Is case sensitive.
Can be used for detection of semi-duplicate strings with bitHammingDistance. The smaller is the Hamming Distance of the calculated simhashes
of two strings, the more likely these strings are the same.
Syntax
wordShingleSimHashUTF8(string[, shinglesize])
Arguments
string
— String. String.shinglesize
— The size of a word shingle. Optinal. Possible values: any number from1
to25
. Default value:3
. UInt8.
Returned value
- Hash value.
Type: UInt64.
Example
Query:
SELECT wordShingleSimHashUTF8('ClickHouse® is a column-oriented database management system (DBMS) for online analytical processing of queries (OLAP).') AS Hash;
Result:
┌───────Hash─┐
│<PHONE_NUMBER> │
└────────────┘
wordShingleSimHashCaseInsensitiveUTF8
Splits a UTF-8 string into parts (shingles) of shinglesize
words and returns the word shingle simhash
. Is case insensitive.
Can be used for detection of semi-duplicate strings with bitHammingDistance. The smaller is the Hamming Distance of the calculated simhashes
of two strings, the more likely these strings are the same.
Syntax
wordShingleSimHashCaseInsensitiveUTF8(string[, shinglesize])
Arguments
string
— String. String.shinglesize
— The size of a word shingle. Optional. Possible values: any number from1
to25
. Default value:3
. UInt8.
Returned value
- Hash value.
Type: UInt64.
Example
Query:
SELECT wordShingleSimHashCaseInsensitiveUTF8('ClickHouse® is a column-oriented database management system (DBMS) for online analytical processing of queries (OLAP).') AS Hash;
Result:
┌───────Hash─┐
│<PHONE_NUMBER> │
└────────────┘
ngramMinHash
Splits a ASCII string into n-grams of ngramsize
symbols and calculates hash values for each n-gram. Uses hashnum
minimum hashes to calculate the minimum hash and hashnum
maximum hashes to calculate the maximum hash. Returns a tuple with these hashes. Is case sensitive.
Can be used for detection of semi-duplicate strings with tupleHammingDistance. For two strings: if one of the returned hashes is the same for both strings, we think that those strings are the same.
Syntax
ngramMinHash(string[, ngramsize, hashnum])
Arguments
string
— String. String.ngramsize
— The size of an n-gram. Optional. Possible values: any number from1
to25
. Default value:3
. UInt8.hashnum
— The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from1
to25
. Default value:6
. UInt8.
Returned value
- Tuple with two hashes — the minimum and the maximum.
Example
Query:
SELECT ngramMinHash('ClickHouse') AS Tuple;
Result:
┌─Tuple──────────────────────────────────────┐
│<PHONE_NUMBER>9352735453,9054248444481805918) │
└────────────────────────────────────────────┘
ngramMinHashCaseInsensitive
Splits a ASCII string into n-grams of ngramsize
symbols and calculates hash values for each n-gram. Uses hashnum
minimum hashes to calculate the minimum hash and hashnum
maximum hashes to calculate the maximum hash. Returns a tuple with these hashes. Is case insensitive.
Can be used for detection of semi-duplicate strings with tupleHammingDistance. For two strings: if one of the returned hashes is the same for both strings, we think that those strings are the same.
Syntax
ngramMinHashCaseInsensitive(string[, ngramsize, hashnum])
Arguments
string
— String. String.ngramsize
— The size of an n-gram. Optional. Possible values: any number from1
to25
. Default value:3
. UInt8.hashnum
— The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from1
to25
. Default value:6
. UInt8.
Returned value
- Tuple with two hashes — the minimum and the maximum.
Example
Query:
SELECT ngramMinHashCaseInsensitive('ClickHouse') AS Tuple;
Result:
┌─Tuple──────────────────────────────────────┐
│<PHONE_NUMBER>442004574,13203602793651726206) │
└────────────────────────────────────────────┘
ngramMinHashUTF8
Splits a UTF-8 string into n-grams of ngramsize
symbols and calculates hash values for each n-gram. Uses hashnum
minimum hashes to calculate the minimum hash and hashnum
maximum hashes to calculate the maximum hash. Returns a tuple with these hashes. Is case sensitive.
Can be used for detection of semi-duplicate strings with tupleHammingDistance. For two strings: if one of the returned hashes is the same for both strings, we think that those strings are the same.
Syntax
ngramMinHashUTF8(string[, ngramsize, hashnum])
Arguments
string
— String. String.ngramsize
— The size of an n-gram. Optional. Possible values: any number from1
to25
. Default value:3
. UInt8.hashnum
— The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from1
to25
. Default value:6
. UInt8.
Returned value
- Tuple with two hashes — the minimum and the maximum.
Example
Query:
SELECT ngramMinHashUTF8('ClickHouse') AS Tuple;
Result:
┌─Tuple──────────────────────────────────────┐
│<PHONE_NUMBER>9352735453,6742163577938632877) │
└────────────────────────────────────────────┘
ngramMinHashCaseInsensitiveUTF8
Splits a UTF-8 string into n-grams of ngramsize
symbols and calculates hash values for each n-gram. Uses hashnum
minimum hashes to calculate the minimum hash and hashnum
maximum hashes to calculate the maximum hash. Returns a tuple with these hashes. Is case insensitive.
Can be used for detection of semi-duplicate strings with tupleHammingDistance. For two strings: if one of the returned hashes is the same for both strings, we think that those strings are the same.
Syntax
ngramMinHashCaseInsensitiveUTF8(string [, ngramsize, hashnum])
Arguments
string
— String. String.ngramsize
— The size of an n-gram. Optional. Possible values: any number from1
to25
. Default value:3
. UInt8.hashnum
— The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from1
to25
. Default value:6
. UInt8.
Returned value
- Tuple with two hashes — the minimum and the maximum.
Example
Query:
SELECT ngramMinHashCaseInsensitiveUTF8('ClickHouse') AS Tuple;
Result:
┌─Tuple───────────────────────────────────────┐
│<PHONE_NUMBER>7655877135,13203602793651726206) │
└─────────────────────────────────────────────┘
ngramMinHashArg
Splits a ASCII string into n-grams of ngramsize
symbols and returns the n-grams with minimum and maximum hashes, calculated by the ngramMinHash function with the same input. Is case sensitive.
Syntax
ngramMinHashArg(string[, ngramsize, hashnum])
Arguments
string
— String. String.ngramsize
— The size of an n-gram. Optional. Possible values: any number from1
to25
. Default value:3
. UInt8.hashnum
— The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from1
to25
. Default value:6
. UInt8.
Returned value
- Tuple with two tuples with
hashnum
n-grams each.
Type: Tuple(Tuple(String), Tuple(String)).
Example
Query:
SELECT ngramMinHashArg('ClickHouse') AS Tuple;
Result:
┌─Tuple─────────────────────────────────────────────────────────────────────────┐
│ (('ous','ick','lic','Hou','kHo','use'),('Hou','lic','ick','ous','ckH','Cli')) │
└───────────────────────────────────────────────────────────────────────────────┘
ngramMinHashArgCaseInsensitive
Splits a ASCII string into n-grams of ngramsize
symbols and returns the n-grams with minimum and maximum hashes, calculated by the ngramMinHashCaseInsensitive function with the same input. Is case insensitive.
Syntax
ngramMinHashArgCaseInsensitive(string[, ngramsize, hashnum])
Arguments
string
— String. String.ngramsize
— The size of an n-gram. Optional. Possible values: any number from1
to25
. Default value:3
. UInt8.hashnum
— The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from1
to25
. Default value:6
. UInt8.
Returned value
- Tuple with two tuples with
hashnum
n-grams each.
Type: Tuple(Tuple(String), Tuple(String)).
Example
Query:
SELECT ngramMinHashArgCaseInsensitive('ClickHouse') AS Tuple;
Result:
┌─Tuple─────────────────────────────────────────────────────────────────────────┐
│ (('ous','ick','lic','kHo','use','Cli'),('kHo','lic','ick','ous','ckH','Hou')) │
└───────────────────────────────────────────────────────────────────────────────┘
ngramMinHashArgUTF8
Splits a UTF-8 string into n-grams of ngramsize
symbols and returns the n-grams with minimum and maximum hashes, calculated by the ngramMinHashUTF8 function with the same input. Is case sensitive.
Syntax
ngramMinHashArgUTF8(string[, ngramsize, hashnum])
Arguments
string
— String. String.ngramsize
— The size of an n-gram. Optional. Possible values: any number from1
to25
. Default value:3
. UInt8.hashnum
— The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from1
to25
. Default value:6
. UInt8.
Returned value
- Tuple with two tuples with
hashnum
n-grams each.
Type: Tuple(Tuple(String), Tuple(String)).
Example
Query:
SELECT ngramMinHashArgUTF8('ClickHouse') AS Tuple;
Result:
┌─Tuple─────────────────────────────────────────────────────────────────────────┐
│ (('ous','ick','lic','Hou','kHo','use'),('kHo','Hou','lic','ick','ous','ckH')) │
└───────────────────────────────────────────────────────────────────────────────┘
ngramMinHashArgCaseInsensitiveUTF8
Splits a UTF-8 string into n-grams of ngramsize
symbols and returns the n-grams with minimum and maximum hashes, calculated by the ngramMinHashCaseInsensitiveUTF8 function with the same input. Is case insensitive.
Syntax
ngramMinHashArgCaseInsensitiveUTF8(string[, ngramsize, hashnum])
Arguments
string
— String. String.ngramsize
— The size of an n-gram. Optional. Possible values: any number from1
to25
. Default value:3
. UInt8.hashnum
— The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from1
to25
. Default value:6
. UInt8.
Returned value
- Tuple with two tuples with
hashnum
n-grams each.
Type: Tuple(Tuple(String), Tuple(String)).
Example
Query:
SELECT ngramMinHashArgCaseInsensitiveUTF8('ClickHouse') AS Tuple;
Result:
┌─Tuple─────────────────────────────────────────────────────────────────────────┐
│ (('ckH','ous','ick','lic','kHo','use'),('kHo','lic','ick','ous','ckH','Hou')) │
└───────────────────────────────────────────────────────────────────────────────┘
wordShingleMinHash
Splits a ASCII string into parts (shingles) of shinglesize
words and calculates hash values for each word shingle. Uses hashnum
minimum hashes to calculate the minimum hash and hashnum
maximum hashes to calculate the maximum hash. Returns a tuple with these hashes. Is case sensitive.
Can be used for detection of semi-duplicate strings with tupleHammingDistance. For two strings: if one of the returned hashes is the same for both strings, we think that those strings are the same.
Syntax
wordShingleMinHash(string[, shinglesize, hashnum])
Arguments
string
— String. String.shinglesize
— The size of a word shingle. Optional. Possible values: any number from1
to25
. Default value:3
. UInt8.hashnum
— The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from1
to25
. Default value:6
. UInt8.
Returned value
- Tuple with two hashes — the minimum and the maximum.
Example
Query:
SELECT wordShingleMinHash('ClickHouse® is a column-oriented database management system (DBMS) for online analytical processing of queries (OLAP).') AS Tuple;
Result:
┌─Tuple──────────────────────────────────────┐
│<PHONE_NUMBER>9864147620,5844417301642981317) │
└────────────────────────────────────────────┘
wordShingleMinHashCaseInsensitive
Splits a ASCII string into parts (shingles) of shinglesize
words and calculates hash values for each word shingle. Uses hashnum
minimum hashes to calculate the minimum hash and hashnum
maximum hashes to calculate the maximum hash. Returns a tuple with these hashes. Is case insensitive.
Can be used for detection of semi-duplicate strings with tupleHammingDistance. For two strings: if one of the returned hashes is the same for both strings, we think that those strings are the same.
Syntax
wordShingleMinHashCaseInsensitive(string[, shinglesize, hashnum])
Arguments
string
— String. String.shinglesize
— The size of a word shingle. Optional. Possible values: any number from1
to25
. Default value:3
. UInt8.hashnum
— The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from1
to25
. Default value:6
. UInt8.
Returned value
- Tuple with two hashes — the minimum and the maximum.
Example
Query:
SELECT wordShingleMinHashCaseInsensitive('ClickHouse® is a column-oriented database management system (DBMS) for online analytical processing of queries (OLAP).') AS Tuple;
Result:
┌─Tuple─────────────────────────────────────┐
│<PHONE_NUMBER>688416519,1634050779997673240) │
└───────────────────────────────────────────┘
wordShingleMinHashUTF8
Splits a UTF-8 string into parts (shingles) of shinglesize
words and calculates hash values for each word shingle. Uses hashnum
minimum hashes to calculate the minimum hash and hashnum
maximum hashes to calculate the maximum hash. Returns a tuple with these hashes. Is case sensitive.
Can be used for detection of semi-duplicate strings with tupleHammingDistance. For two strings: if one of the returned hashes is the same for both strings, we think that those strings are the same.
Syntax
wordShingleMinHashUTF8(string[, shinglesize, hashnum])
Arguments
string
— String. String.shinglesize
— The size of a word shingle. Optional. Possible values: any number from1
to25
. Default value:3
. UInt8.hashnum
— The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from1
to25
. Default value:6
. UInt8.
Returned value
- Tuple with two hashes — the minimum and the maximum.
Example
Query:
SELECT wordShingleMinHashUTF8('ClickHouse® is a column-oriented database management system (DBMS) for online analytical processing of queries (OLAP).') AS Tuple;
Result:
┌─Tuple──────────────────────────────────────┐
│<PHONE_NUMBER>9864147620,5844417301642981317) │
└────────────────────────────────────────────┘
wordShingleMinHashCaseInsensitiveUTF8
Splits a UTF-8 string into parts (shingles) of shinglesize
words and calculates hash values for each word shingle. Uses hashnum
minimum hashes to calculate the minimum hash and hashnum
maximum hashes to calculate the maximum hash. Returns a tuple with these hashes. Is case insensitive.
Can be used for detection of semi-duplicate strings with tupleHammingDistance. For two strings: if one of the returned hashes is the same for both strings, we think that those strings are the same.
Syntax
wordShingleMinHashCaseInsensitiveUTF8(string[, shinglesize, hashnum])
Arguments
string
— String. String.shinglesize
— The size of a word shingle. Optional. Possible values: any number from1
to25
. Default value:3
. UInt8.hashnum
— The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from1
to25
. Default value:6
. UInt8.
Returned value
- Tuple with two hashes — the minimum and the maximum.
Example
Query:
SELECT wordShingleMinHashCaseInsensitiveUTF8('ClickHouse® is a column-oriented database management system (DBMS) for online analytical processing of queries (OLAP).') AS Tuple;
Result:
┌─Tuple─────────────────────────────────────┐
│<PHONE_NUMBER>688416519,1634050779997673240) │
└───────────────────────────────────────────┘
wordShingleMinHashArg
Splits a ASCII string into parts (shingles) of shinglesize
words each and returns the shingles with minimum and maximum word hashes, calculated by the wordshingleMinHash function with the same input. Is case sensitive.
Syntax
wordShingleMinHashArg(string[, shinglesize, hashnum])
Arguments
string
— String. String.shinglesize
— The size of a word shingle. Optional. Possible values: any number from1
to25
. Default value:3
. UInt8.hashnum
— The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from1
to25
. Default value:6
. UInt8.
Returned value
- Tuple with two tuples with
hashnum
word shingles each.
Type: Tuple(Tuple(String), Tuple(String)).
Example
Query:
SELECT wordShingleMinHashArg('ClickHouse® is a column-oriented database management system (DBMS) for online analytical processing of queries (OLAP).', 1, 3) AS Tuple;
Result:
┌─Tuple─────────────────────────────────────────────────────────────────┐
│ (('OLAP','database','analytical'),('online','oriented','processing')) │
└───────────────────────────────────────────────────────────────────────┘
wordShingleMinHashArgCaseInsensitive
Splits a ASCII string into parts (shingles) of shinglesize
words each and returns the shingles with minimum and maximum word hashes, calculated by the wordShingleMinHashCaseInsensitive function with the same input. Is case insensitive.
Syntax
wordShingleMinHashArgCaseInsensitive(string[, shinglesize, hashnum])
Arguments
string
— String. String.shinglesize
— The size of a word shingle. Optional. Possible values: any number from1
to25
. Default value:3
. UInt8.hashnum
— The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from1
to25
. Default value:6
. UInt8.
Returned value
- Tuple with two tuples with
hashnum
word shingles each.
Type: Tuple(Tuple(String), Tuple(String)).
Example
Query:
SELECT wordShingleMinHashArgCaseInsensitive('ClickHouse® is a column-oriented database management system (DBMS) for online analytical processing of queries (OLAP).', 1, 3) AS Tuple;
Result:
┌─Tuple──────────────────────────────────────────────────────────────────┐
│ (('queries','database','analytical'),('oriented','processing','DBMS')) │
└────────────────────────────────────────────────────────────────────────┘
wordShingleMinHashArgUTF8
Splits a UTF-8 string into parts (shingles) of shinglesize
words each and returns the shingles with minimum and maximum word hashes, calculated by the wordShingleMinHashUTF8 function with the same input. Is case sensitive.
Syntax
wordShingleMinHashArgUTF8(string[, shinglesize, hashnum])
Arguments
string
— String. String.shinglesize
— The size of a word shingle. Optional. Possible values: any number from1
to25
. Default value:3
. UInt8.hashnum
— The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from1
to25
. Default value:6
. UInt8.
Returned value
- Tuple with two tuples with
hashnum
word shingles each.
Type: Tuple(Tuple(String), Tuple(String)).
Example
Query:
SELECT wordShingleMinHashArgUTF8('ClickHouse® is a column-oriented database management system (DBMS) for online analytical processing of queries (OLAP).', 1, 3) AS Tuple;
Result:
┌─Tuple─────────────────────────────────────────────────────────────────┐
│ (('OLAP','database','analytical'),('online','oriented','processing')) │
└───────────────────────────────────────────────────────────────────────┘
wordShingleMinHashArgCaseInsensitiveUTF8
Splits a UTF-8 string into parts (shingles) of shinglesize
words each and returns the shingles with minimum and maximum word hashes, calculated by the wordShingleMinHashCaseInsensitiveUTF8 function with the same input. Is case insensitive.
Syntax
wordShingleMinHashArgCaseInsensitiveUTF8(string[, shinglesize, hashnum])
Arguments
string
— String. String.shinglesize
— The size of a word shingle. Optional. Possible values: any number from1
to25
. Default value:3
. UInt8.hashnum
— The number of minimum and maximum hashes used to calculate the result. Optional. Possible values: any number from1
to25
. Default value:6
. UInt8.
Returned value
- Tuple with two tuples with
hashnum
word shingles each.
Type: Tuple(Tuple(String), Tuple(String)).
Example
Query:
SELECT wordShingleMinHashArgCaseInsensitiveUTF8('ClickHouse® is a column-oriented database management system (DBMS) for online analytical processing of queries (OLAP).', 1, 3) AS Tuple;
Result:
┌─Tuple──────────────────────────────────────────────────────────────────┐
│ (('queries','database','analytical'),('oriented','processing','DBMS')) │
└────────────────────────────────────────────────────────────────────────┘


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Sarveen Cup - Season 4
Grand Final
Congratulations to Sarveen Cup Splendor champion, "SAEED MOHAMMADI ARA"
| Name |
Time Left |
Total Pts |
| Saeed Mohammadi Ara |
00:04:15 |
15 |
| Ali Zarghami |
00:00:49 |
14 |
| Abolfazl Bahari |
00:00:56 |
14 |
| Melika Boustan |
00:04:51 |
12 |
Playoffs
| Name |
Time Left |
Total Pts |
| Saeed Mohammadi Ara |
00:04:43 |
16 |
| Abolfazl Bahari |
00:04:11 |
15 |
| Hossein Yousefi |
00:04:59 |
13 |
| Mahdi Beheshtara |
00:05:03 |
6 |
Group A
| Name |
Matches Played |
Time Left |
Standing Pts |
Game Pts |
Total Pts |
| Melika Boustan |
4 |
00:15:08 |
48 |
56 |
104 |
| Abolfazl Bahari |
4 |
00:11:47 |
30 |
55 |
85 |
| Mahdi Beheshtara |
4 |
00:30:32 |
30 |
43 |
73 |
| Hossein Ghasemi |
4 |
00:32:17 |
19 |
43 |
62 |
| Naser Azarbakhsh |
4 |
00:14:01 |
13 |
43 |
56 |
Group B
| Name |
Matches Played |
Time Left |
Standing Pts |
Game Pts |
Total Pts |
| Ali Zarghami |
4 |
00:19:00 |
49 |
59 |
108 |
| Hossein Yousefi |
4 |
00:32:11 |
37 |
56 |
93 |
| Saeed Mohammadi Ara |
4 |
00:24:23 |
27 |
49 |
76 |
| Hossein Khayami |
4 |
00:12:29 |
23 |
45 |
68 |
| Mahsa Ghazi |
4 |
00:28:36 |
4 |
31 |
35 |


VIEW FULL SIZE IMAGE
THINK PINK SET
$500.89
Think Pink set is for the perfect passionatly pink beach bunny.
Set Includes:
- Twisted Bracelot
- Lady Lace Binkin Set
- Lacy Bunny Pant
- Lacy Hoodie
| Quantity |
|
|
| LADY LACE TOP |
|
SIZE CHART |
| LADY LACE BOTTOM |
|
SIZE CHART |
| LACY BUNNY PANT |
|
SIZE CHART |
| LACY BUNNIE HOODIE |
|
SIZE CHART |


Varies particle emission origin and change the movement pattern.
Sliders
x-Facing
Emission origin to be varied along the x-axis within this range.
y-facing
Emission origin to be varied along the y-axis within this range.
z-Facing
Emission origin to be varied along the z-axis within this range.
Interval
A smaller value will give more abrupt change.
This is a function of particle count and therefore appearance will change when Frequency altered.
Check box
Fluctuate: Make particles to drift along the output direction. See Fig13B for reference.
Setting dialog
Pattern0~101
Valid value from 0 to 101.
Define the smoothness of change for emission origin.
0 is more bumpy, 101 is the most smooth. See Fig13A for details.
\FluctSpeed
Set the speed of fluctuation when Fluctuate is enabled.
\FluctWidth
Magnitude of fluctuation when Fluctuate is enabled.
Input format: {x,y,z,ref}, where ref is 0 or 1.
ref defines whether the direction of fluctuation should be based on(perpendicular to) particle's movement direction. 0: independent from particle movement; 1: it depends
\Indvl_Spd_W
Set the variation range of fluctuation speed and amplitude.
Input format: {Speed,Amplitude}
When only a single value is given, same as {0,Amplitude}
@Irregular
Adds jumping movement to particles. A particle will diverge from the main path, then curve back to the main path. Looks like a group of dolphins skimming on sea surface.
@IrrProbability
The chance that a particle would have jumping movement.
@IrrVector
The allowable range and direction for jumping movement.
Input format: {x,y,z}
A single value will set the y-range only.
@IrrSpeed
The speed of particle when jumping event occurs.
@IrrIntvl
A time interval in frame count. For every interval, a particle is decided to have jumping movement or not according to @IrrProbability.
#IrregularII
Adds random bending to particle's path.
#IrrProbabilityII
The chance that a particle will have random bending.
#IrrIntvlII
A time interval. A particle is decided to have bending event or not for every interval lapsed.
*CustomFunction
Use a custom function to direct particle's behaviour.
*PathID
When the custom function is written in an external text file, attach the Path@ component and set this ID accordingly.
*Use Script
Enable this to define your function using the Script control effect.
About custom function
Sample:
function vector(t)
local r=300
local vx=r*math.sin(math.pi*t*2)
local vy=r*math.cos(math.pi*t*2)
local vz=0
return vx,vy,vz
end
where t is the time lapsed since particle emission in seconds. vx, vy and vz are velocity components.
Style2
Allows changing particle direction in due course and allows braking. Firework effect can be achieved when using with Concurrent emission.
Sliders
ScatterTime
A delay time after which particle would change direction.
In milliseconds
No direction change when zero.
xy-Spread
A sector area on the xy-plane, within which a particle would change direction.
Particle will not scatter if zero.
z-Spread
When > 0, particle would bend in the z-axis direction.
BrakeTime
Milliseconds-to-stop for a particle. Even when a particle lost speed, effect of gravity and acceleration still apply.
Check box
Sync with concurrent emission: remove randomness among concurrent particles. Randomness will only be introduced when using with ScatterTime.
Setting dialog
Uniform spread
When particles break apart, particles break evenly in the sector defined by xy-Spread.
Sync with Rot
Rotation of all particles shall be in sync.
Sync filter0~1
Disable or enable randomness for Filter@
Input format:{[0/1],[0/1]...} (a max of 11 numbers)
Example: Filter@Blur→Filter@Color shift→Filter@Noise. To turn off randomness for Noise among concurrent particles, use {0,0,1,0,0,0,0,0,0,0,0}
Show track after
Show tails after scattering when using with Trajectory@
Scatter on reflection
Particle scatter on bouncing when using with Bounce@ or Bounce2@
ScatterSurface
The angle for plane of scattering.
{horizontal rotation, vertical rotation}
A single value will set vertical rotation only
{0,0} for a plane lying on horizontal
Use the letter r instead of number to randomize within 0 to 360
PostScatSpd
The speed of particle after scattering.
An absolute value will be the final speed, adding a % sign defines a randomization range.
Leave this empty for no change
PostScatAccel
Similar to PostScatSpd but for setting acceleration.
Filter1Scat0~2
Adjust the behaviour of VarVal1 in Filter@ and Filter(For monochrome) on scattering.
Assuming an object with: Filter@Blur→Filter@Color shift→Filter@Noise
entering {0,1,1,0,0,0,0,0,0,0,0} will link color shift with noise on scatter.
1: Change VarVal1 after scattering
2: Change of VarVal1 would finish on scattering.
Indvl_BrTime_EdTime
Defines randomization range for ScatterTime and BrakeTime.
Input format: {scatter,brake}
Unsync0~1
Override effect of Sync with concurrent emission for ScatterTime and BrakeTime.
Input format: {scatter sync off,brake sync off}, where value can be 0 or 1
0: keep sync; 1: break sync
StopScatLink0~2
For linking ScatterTime and BrakeTime.
0: do not link
1: brake after a defined time counting from scattering
2: brake first, then scatter after a defined time. Invalid when Scatter on reflection is enabled.
LinkTime
Duration in milliseconds for use with StopScatLink0~2.
Use < 1 to disable this.
IndvlLink
Add variation to LinkTime.
Style3
Send particles into circular or elliptical motion.
Sliders
Center-x
Center coordinate (X) of circular motion
This value can be animated over time
Center-y
Center coordinate (Y) of circular motion
This value can be animated over time
Center-z
Center coordinate (Y) of circular motion
This value can be animated over time
AngularSpd
Angular speed, in other words, degree per second.
Check box
Show coordinate: Display the focal point for circular motion as a red circle. See Fig13D for reference.
Setting dialog
Random angular
Randomize angular speed.
RandRange
Input format: {lower limit,upper limit,reverse}
When reverse is 1, there will be 50% chance that the rotation being reversed.
If only a single value is given, a +ve value will set the upper limit, a -ve value will set the lower limit, and all assume reverse=0.
 Unaffected by the sign of angular speed.
Positive accel
Unchecked: After decelerating to zero speed, starts accelerating in the opposite direction.
Checked: When angular speed reached zero, stops circular motion.
RadialSpd
Particle speed with respect to center.
Input format: {lower limit,upper limit,reverse}
+ve value: move away from center; -ve: move towards center.
reverse=1: 50% chance reversing direction
RSpd positive
Unchecked: particle moves away from center after reaching it.
Checked: particle stops after reaching center
Radius limit
Set a limit on how far a particle can move away from center.
Undefined if left empty.
IndvlRadiusLimit
Varies the radius limit per each particle.
RotSurface
Sets the plane of circular motion and z-direction of spherical motion.
For circular motion: {x-tilt,y-tilt}
A single value is the same as {x-tilt,0}
Input r in place of number to randomize the parameter
For spherical motion: {z-angular speed,overall rotation}
A single value is the same as {z-angular speed,0}
Input r in place of number to randomize the parameter
Angles in degree
CenterType0~2
Sets how circle center is defined.
0: as defined by Center-x -y -z sliders
1: particle's emission origin will be the center. Requires radial speed to be set to obtain circular motion.
2: Randomize the center coordinate within the area defined by Type2RandxRng, Type2RandyRng and Type2RandzRng (see below).
Type2RandxRng
boundaries on x-axis when using CenterType=2
Format: {lower limit,upper limit}
Type2RandyRng
boundaries on y-axis when using CenterType=2
Format: {lower limit,upper limit}
Type2RandzRng
boundaries on z-axis when using CenterType=2
Format: {lower limit,upper limit}
Spherical motion
Send particles into spherical motion. See RotSurface above for details on tweaking this.
Style4
Control the time and progress of emission.
Sliders
Progress
Display the state of particle object at this moment.
Value in seconds
If StTime (in ParticleRender@) is set, -ve value will take effect
The Enable Progress check box needs to be ticked in order for this to take effect
Differential
Display a kind of play speed factor
1: Playing at normal speed; 2: playing at double speed
Set zero to hide this status display
LastAdj
Define the meaning of final time.
0: object's total survival time.
1: The time as defined in Progress slider. No effect if Progress slider value is less than object's survival time.
Meaningless if Vanish option is not checked in ParticleRender@
Check box
Enable Progress: activate the Progress slider when checked. Otherwise the slider would have no effect.


Marc Steen
Found when searching for combined mentions of co-design and Dewey as a pragmatist, but also the name Steen has come up a few times?
Includes a progressive and relational statement of "user-centred design" morphing through "human-centred design" into "participatory design", the "lead user" approach and finally "co-design".
Reading in full, and especially the commentated extracts of Dewey's "How we think" and "Logic: The theory of inquiry" would be valuable.
Design research, Design methodology
"industrial design practice is changing in two significant ways. It is moving towards organizing processes in which designers cooperate with other experts and with (potential) users and stakeholders and engage in processes of co-design, rather than doing the design work alone and in isolation. It is also moving towards facilitating change processes rather creating finished products; designers engage in joint processes of organizational change, in which new products or services or processes are developed. The focus of industrial design shifts from designing a finished-product to engaging in co-design-as-a-process and facilitating diverse people to jointly work in an innovation process."
"both practising designers and design theorists need new foundations to understand and organize such co-design-as-a-process because the foundations from science and from engineering have become inappropriate"
"Pragmatist John Dewey explains that the process of reflective thinking (1910, pp. 68-78), or the process of inquiry (1938, pp. 101-119), consists of five closely related processes, which run partly in sequence, partly in parallel: 1) Perceiving a situation as ‘questionable’; 2) Exploring and formulating the problem provisionally; 3) Simultaneously exploring and further developing the problem (‘perceptual’) and possible solutions (‘conceptual’); 4) Exploring the relations between problems (ends) and solutions (means); and 5) Trying-out solutions in practice to find out whether or how they can help to solve the problem."
"The focus on user experience (or customer experience) is related to the shift towards service design. In service design (Cottam and Leadbeater 2004; Parker and Heapy 2006) one is concerned with service encounters, with how a person experiences the various encounters with a specific service, e.g., a banking service or a health care service."
"In order to change service encounters and service touch points, one may need to change processes within the organization or how the organization works."
"the distinction between the shift in the process of design, via user-centred design and human-centred design towards co-design, and the shift in content of design, via interaction design and service design towards transformation design, are too schematic. Both in theory and in practice, one cannot, and does not need to, separate between design process and design content in such crude terms."
"A group of motivated and skilled people—an experienced project manager, capable project team members and committed stakeholders—would typically be able to conduct co-design-as-a-process successfully via all sorts of improvisation and the application of intuition, people skills and tacit knowledge. Although I do not believe there is anything wrong about such an approach, I also believe that an improved understanding of co-design can help to explore better ways to organize co-design"
"The point that I wish to make, is that co-design-as-a-process seems to be based on foundations from science and from engineering and that these foundations are insufficient for realizing the potential of co-design-as-a-process, for facilitating communication and cooperation that are so crucial. My speculation is that both design theorists and practitioners could benefit from exploring new foundations."
"Pragmatism focuses on practices, on what people’s experiences, on what they think and feel, on processes of communication and cooperation between people, and on the future"


I'm a recent graduate of the University of Wisconsin-Madison, having majored in Computer Science and Philosophy. I hail from Malaysia, a tropical peninsula in South East Asia.
I'm currently interning as a Software Engineeer at Oracle Communications, doing HTML5 web app development. I'm a front-end web developer with a passion for design. Sometimes, I bake delicious cupcakes and watercolor paint (just not at the same time!).
Check out my resume, Github account and portfolio.
Next: ProjectsProblem: It's easy to design newsletter templates. The hard part is teaching users how to edit it. Even with a GUI editor, newsletter templates get messed up when users add newsletter 'stories'.
Solution: A simple form-based newsletter builder. The template is set with fixed layouts for each 'story' in the newsletter. Users can set editable fields such as the title and date of issue as well as add as many 'stories' as they need to.
Tools: HTML5, CSS3, Javascript, JQuery
Problem: I needed a way to hide personal or sensitive information when working on websites in public.
Solution: A script that only scrambles up html content so you can work on layout and style without worrying about someone peeking over your shoulder.
Tools: Javascript, JQuery
Problem: There are many academic tutoring resources at the University of Wisconsin-Madison. Unfortunately, they are very decentralized and it is hard for students to search for tutors.
Solution: A centralized database of tutors where students can search for tutors based on courses and locations.
Front-end: HTML5, CSS3, SASS, Javascript, JQuery.
Back-end: Ruby on Rails.
This project was worked on in a group of 5. My contribution was mostly on front-end views and controller logic.
//Coming soon. In the meantime, check out my Behance portfolio.
|<EMAIL_ADDRESS>| |
| Phone | +1<PHONE_NUMBER> |
| @piratefsh | |
| Behance | piratefsh |
| Github | piratefsh |


A new hierarchical clustering linkage criterion: the Genie algorithm links two clusters in such a way that a chosen economic inequity measure (e.g., the Gini index) of the cluster sizes does not increase drastically above a given threshold. Benchmarks indicate a high practical usefulness of the introduced method: it most often outperforms the Ward or average linkage in terms of the clustering quality while retaining the single linkage speed, see (Gagolewski et al. 2016a <doi:10.1016/j.ins.2016.05.003>, 2016b <doi:10.1007/978-3-319-45656-0_16>) for more details.
| Version: | 1.0.4 |
| Depends: | R (≥ 3.3.0), stats |
| Imports: | Rcpp (≥ 0.12.10) |
| LinkingTo: | Rcpp (≥ 0.12.10) |
| Suggests: | datasets, testthat, stringi |
| Published: | 2017-04-27 |
| Author: | Marek Gagolewski [aut, cre], Maciej Bartoszuk [aut], Anna Cena [aut] |
| Maintainer: | Marek Gagolewski <gagolews at rexamine.com> |
| BugReports: | http://github.com/gagolews/genie/issues |
| License: | GPL (≥ 3) |
| URL: | http://www.gagolewski.com/software/genie/ |
| NeedsCompilation: | yes |
| SystemRequirements: | OpenMP, C++11 |
| Citation: | genie citation info |
| Materials: | NEWS |
| In views: | Cluster, Robust |
| CRAN checks: | genie results |
| Reference manual: | genie.pdf |
| Package source: | genie_1.0.4.tar.gz |
| Windows binaries: | r-devel: genie_1.0.4.zip, r-release: genie_1.0.4.zip, r-oldrel: genie_1.0.4.zip |
| OS X binaries: | r-release: genie_1.0.4.tgz, r-oldrel: genie_1.0.4.tgz |
| Old sources: | genie archive |
Please use the canonical form https://CRAN.R-project.org/package=genie to link to this page.


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Type: object
billing_address
root
billing_address
Type: object
street_address
Required
root
billing_address
street_address
Type: string
city
Required
root
billing_address
city
Type: string
state
Required
root
billing_address
state
Type: string
futureProperty
root
billing_address
futureProperty
Type: null
shipping_address
root
shipping_address
Type: object
Same definition as billing_address