Sweeney Todd: Yes, sir.
Beadle Bamford: Then, Mr. Todd, you will surely see me there before the week is out.
Sweeney Todd: You are welcome, Beadle Bamford. And I guarantee to give you, without a penny's charge, the closest shave you will ever know.
 Thus evolved the barber's art; honing, stropping and wielding those wicked-looking straight razors to dispose of unseemly hair without getting blood all over a customer's shirt.
Except that in movieland, however, this is only slightly less dangerous than doing it oneself, as, every so often, that straight razor would end up slicing the customer's throat.
A milder version of this trope involves the customer getting a nonlethal cut, either by accident or intentionally on the barber's part.
See also Cut Himself Shaving and There Will Be Toilet Paper.
Examples:
Lethal Dangerously Close Shaves:
- This is implied in one commercial for Wilkins Coffee, in which Wontkins asks Wilkins the frog, who is a barber, to give him a close shave. Wilkins asks Wontkins if he drinks the advertised coffee, and Wontkins says no.
Wilkins: My friend, this is going to be the closest shave you've ever had!
- In Akumetsu chapter 27, one of Akumetsu's victims gets killed this way.
- In Eastern Promises, a barber asks his nephew to shave a customer. Turns out it's code for slicing his throat open.
- In an early draft of Sherlock Holmes (2009), Dredger (who wound up a silly French thug) was a razor-wielding psychopath who impaled himself on his own razor near the end. Holmes and Watson agree to never touch a razor again.
- The Big Red One. A woman working for La Résistance kills several German soldiers billeted in the madhouse by pretending to be one of the inmates, dancing among them in a red dress cutting their throats.
- A humorous scene early in Scaramouche, where Andre sends out his lawyer's barber and proceeds to interrogate the lawyer as to the identity of the man who pays his stipend. By shaving him.
- In Murder by Contract (1958) Vince Edwards is a hired killer. He ambushes one victim by pretending to be a barber. The victim sits in the chair as Edwards strops the razor, then pulls down the shades and advances on the victim. The camera homes in on a rotating display with the message "You are next".
- Explicitly invoked, but averted (with tragic consequences for the scrupulous barber), in Le Barbier.
- The Godfather: Subverted during the baptism assassination montage. It certainly looks like this is about to happen to a man getting a shave, but it turns out that the man is actually a Corleone assassin who is making time before ambushing the target.
- At the opening scene of My Name Is Nobody one of the bad guys replace the barber about to shave Jack in an attempt to assassinate him. Jack realizes it in time and draws his gun, subverting the trope.
- Grim Prairie Tales: Martin insists on shaving before going to finalize the contracts with Horn, much to Blue's annoyance. While shaving, he nicks himself and then seems to lose control of his arm. When Martin looks in the mirror, he sees the ghost of Colochez holding his arm trying to force the razor across his throat. He ultimately loses the struggle and slashes his own throat. But was it Colochez's ghost, or did Martin go made and kill himself?
- This is the focus of "Lather and Nothing Else" by Hernando Tellez—the client is an army captain in a tyrannical regime, and the barber is secretly a rebel. The barber knows that if he kills the captain, he'll be arrested and executed, but he's uncertain whether it would be worth it. He decides to simply shave the captain and send him on his way. The captain tells him he's known to be a rebel, and this was an experiment to see if he was really willing to kill. "It's not easy to kill a man. Believe me, I know."
- The ballad Der rechte Barbier (The Right Barber) by Franco-German poet and naturalist Adelbert von Chamisso (1781-1838): A man calls for a barber, offering a high price for taking off his beard and shaving him, only if the barber nicks him and spills one drop of blood, he'll kill him. The master barber is too scared, tells the journeyman to do it; the journeyman is too scared, sends for the apprentice. The apprentice does it and does a fine job.

"Sir, that wasn't a problem.  - Discworld
- In the novel Feet of Clay, Samuel Vimes invokes this as an excuse to shave himself — he claims he's had too many people try to kill him to be comfortable with anyone holding a blade near his throat. The real reason is that having grown up in the gutter, he resents the aristocracy and hates having servants wait on him.
- In Jingo, Vimes reflects on the case of Sweeney Jones, the Barber of Gleam Street, who was cutting his customers' throats. Although, unlike his Roundword namesake, not on purpose.
- Invoked in Monstrous Regiment two different ways:
- When Sweet Polly Oliver Polly Perks is given the task of shaving Lieutenant Blouse — under the impression that, as a chap, she has a rough idea what she's doing — the Lieutenant asks her if she thinks she could kill a man. She stares at the razor in her hand and says she thinks she probably could.
- And when Sergeant Jackrum takes over, he discusses the current situation with the Lieutenant, and Polly wonders what might happen if the conversation doesn't go the way the Sergeant wants.
- In The Iron Hand of Mars Marcus Didius Falco finds himself accompanied to Germania by Nero's former barber, whom he fears might actually be an assassin sent to kill him. We don't find out if he is, but the barber does quite handily cut the throat of a mook who tries ambushing them. When questioned on his throat-slitting ability, the barber quietly points out that someone in his occupation is often open to abuse—he's had to learn how to defend himself.
- This is in the backstory of Garrett (formerly "George the Fiend") from Betsy the Vampire Queen—he was an actor who was supposed to play Tarzan, but when the movie was canceled (in favor of Gone with the Wind), the producer took him to the barber for a haircut and shave. The producer was the vampire Nostro, and he had the barber slit Garrett's throat so he could drink.
- In Robert A. Heinlein's novel Glory Road, Rufus is an accomplished barber with a straight razor but he can only do it while his "customer" is lying down. This is because he learned the skill while working as a mortician—that is, shaving corpses. This phrase subsequently becomes a Running Gag between him and the protagonist, Oscar, as a Deadly Euphemism for killing.
- The Malloreon: In recognition of this trope, Belgarath reacts with incredulity when it turns out that Kal Zakath, in his mid-to-late thirties and ruler of a people famed for their scheming nature, has never learned to shave. He lingers on the inadvisiblity of a ruler with few friends letting someone place a sharp knife at their throat.
- The original Sweeney Todd story was The String of Pearls, published in the 1840s. In that version, Todd did in his customers by opening a trapdoor under the chair and only employed this trope if the fall into the cellar didn't kill them outright.
- In both the novel and movie of The Color Purple, Celie is required to shave Mister. Before she does it the first time, he threatens to hurt her if she ever "accidentally" cut him. Given the way he treats her, she certainly had reason to consider performing this trope on him—in the movie, fed up after years of abuse, she is this close to slashing his throat before Shug stops her.

- In Dodger, Dodger goes to get a shave from Sweeney Todd. Although he survives the experience (and becomes a hero in the process), the peelers find a cellar full of the corpses of earlier customers who were not so lucky.

- The sketch about the reluctant homicidal barber who just wanted to be a lumberjack.
"CUT! CUTCUTCUTCUTCUTCUTBLOODSPURTARTERYMURDERHITCHCOCKPSYCHO DAMMIT!" - Spoofed in Danger 5 with an assassin trying to murder someone with an electric razor.
- Boardwalk Empire: Jimmy kills one of the D'Alessio brothers by slicing his throat while he's having a shave at the barber's.
- This is the final horror forced on Kurt in Nirvana's "Floyd the Barber" from Bleach, a perverse Shout-Out/Take That! to The Andy Griffith Show.
- Mamamoo's Moonbyul and her shaky hands result in the barbershop customer getting cut with a straight razor in "Ahh Oop!".
- In Dick Tracy, Sam Catchem nearly has his throat slit while getting a shave from Empty's girlfriend Bonnie the Barber.
- The quintessential embodiment of this trope is of course Sweeney Todd: The Demon Barber of Fleet Street, who murdered his customers and handed their bodies off to his partner Mrs. Lovett to be baked into meat pies.  He ultimately succeeds in the end with this trope being the method. The current page's picture depicts him killing a customer in the movie rendition of the story.
- Ironically averted in the original penny dreadful about Sweeny, in which he kills his customers with a booby-trapped chair that flips them into a deep pit.
- One of the playable personas in Assassin's Creed: Brotherhood's multiplayer is the Barber, a spy for the Templars who goes around cutting throats with a straight razor.
- In Brain Dead 13, if Lance chooses the "shave" (which is rather odd, since he doesn't have any facial hair), Vivi will spray him with green shaving cream, and she will use this Sinister Scythe to try and kill him in this dangerous way, a la Sweeney Todd.
- On Discworld MUD, there is an NPC who is a Shout-Out to Sweeney Todd, and even warns you beforehand that he'll slit your throat when you get a shave from him.
- One method of assassinating The Malestrom in the India level of HITMAN 2 is to disguise Agent 47 as a barber and wait for him to come in for a shave.
- Lumpy from Happy Tree Friends ups the ante by shaving himself while driving. This being Happy Tree Friends, the results are messy.
- Happens in this◊ The Perry Bible Fellowship comic involving an automatic barber.
- This Nedroid comic has Reginald doing it to himself.
- In Girl Genius, Lord Selnikov discusses this after becoming a disembodied head in a jar.
Lord Selnikov: Oh, now this is absurd! How am I supposed to shave?!
Doctor Sun: ...You Lordship actually shaves himself?
Lord Selnikov: As if I'd trust anyone I know to put a razor to my throat!
Doctor Sun: mm. Technically? No longer a problem.

- The Tex Avery short "The Car Of Tomorrow" has a gag about a car that shaves the driver, and what happens when the road is not smooth.
- Bart and Lisa plan a script for Itchy & Scratchy from The Simpsons involving Itchy decapitating Scratchy with a straight razor although the idea gets scrapped as too cliché.
- One of the stories about Dionysius the Elder says that he was so afraid of that trope he ordered that his daughters train as barbers. Then he stopped trusting them as well and started burning the hair off.
- Albert Anastasia was assassinated by a team of gunmen while getting a shave at the Park Sheraton Hotel's barbershop in Manhattan.
Nonlethal Dangerously Close Shaves:
- In The Shadow One-Shot 2014: Agents of the Shadow, Cliff and Clyde interrogate a gangster by replacing his barber while he is getting a shave. Cliff holds the razor against his throat while commenting how he has never done this before till the gangster tells them what they want to know.
- In Disney's version of Peter Pan, Smee (through a complicated series of misunderstandings) mistakenly believes he's accidentally cut off Captain Hook's head while shaving him.
Smee: Oh dear! I've never shaved him this close before!
- Al Capone in The Untouchables moved his head. Everyone in the room froze as they saw that the barber had cut him. Capone dismisses the unintentional injury.
- In Mississippi Burning, the FBI agent played by Gene Hackman intimidates a KKK member who was getting a shave by replacing the barber.
- Celie at least contemplates some very dangerous thoughts while holding a razor in her hand in preparation to shave Mister in The Color Purple. She gets interrupted out of her thoughts (and the razor snatched out of her hand) before she can do anything rash.
- Narrowly averted in the movie Resurrection Man, where the cold-blooded psycho protagonist—who we've already seen viciously kill several people and beat countless others to a pulp—gives his disabled father a shave. From the looks on their faces and the building-up of dramatic tension, it really seems as though he's about to kill him. But he doesn't. It's still a massively eerie scene though.
- During the Baptism Scene of The Godfather, it certainly looks like this is about to happen to someone, but it turns out that The man getting a shave is a hitman for the Corleone family, and was getting a shave so he could sit and watch a door for his target without raising suspicion.

- Played for a gag in a scene from So's Your Old Man where Sam cringes while watching a man try to shave himself on a shaking, bouncing train, with a giant straight razor.
- The Sign of Four: Sherlock Holmes' Greatest Case: The Tattooed Man is giving Small a shave when he nicks him with the razor. He then claims that it is the fault of the safety razor and that Small should let him have a go with a straight razor. Small is having none of it.
- In "The Man from Ironbark", by Australian bush poet Banjo Paterson, a barber plays a trick of this trope on a country yokel. The barber makes the man think his throat is cut by heating up the back of a barber's blade and drawing it across newly-shaven skin. The feeling that is left is as if the throat is cut. This ... doesn't go well.
- Thunder and Roses by Theodore Sturgeon takes place in a United States devastated by a nuclear attack, with insanity and suicide rampant among the few survivors. When two soldiers find themselves becoming obsessed by a straight-razor that one of them is using to shave, they quickly melt it down in a furnace so they won't be tempted to use it to cut their wrists.
- Invoked Trope in Game of Thrones. To demonstrate to his father that he has broken Theon Greyjoy completely, Ramsay Snow has Theon give him a close shave, while taunting his captive.
- Likewise in Westworld, the Man in Black has android host Dolores shave him with his own Bowie knife.
- In the Kolchak: The Night Stalker episode "Bad Medicine", Kolchak talks to a former criminal gem cutter who now works as a barber. He gets lathered up but then decides not to get a shave after noticing how much the barber's hand shakes.
- In Flash Gordon, Ming was nicked when being shaved mainly because he couldn't sit still. As punishment for the nick, he cuts off the guilty barber's finger. They don't call this guy "The Merciless" for nothing.
- In the Alcatraz episode "Cal Sweeney", the prison barber accidentally cuts Tiller while Tiller is demanding a cut of Sweeney's racket. The barber's reaction shows he expects some retribution from Tiller, but Tiller uses the cut as an opportunity to deliver a veiled threat to Sweeney about what happens if you shave against the grain.
- On Dirty Jobs Mike was once freaked out when cameraman Troy wanted him to shave his neck with a straight razor, even citing it as being "too Sweeney Todd" and even the professional barber caused Troy to bleed a little.
- Lou Reed's song "Harry's Circumcision" is about a man who, while shaving, realises that he's turning into his parents... and promptly starts cutting up his face, ending by slashing his own throat.

And when he heard that, although it hurt, Harry had to laugh.
- In Far Cry 5, Jacob Seed forces his captive Staci Pratt to shave him while he talks to the Deputy, Pratt's coworker, evidently to demonstrate how thoroughly broken and submissive he's become.
- In Yakuza 1, Shimano is having his head shaved by a scantily-clad woman, who accidentally cuts him and immediately reacts with terror.
- The Disney Theme Parks ABC Soundstage attraction "Sounds Dangerous" simulates Drew Carey getting one of these with audio.
- In the second campaign of Critical Role, Yasha gives Caleb a shave with her five-and-a-half foot long greatsword at two points. The first time actually goes pretty well. The second...not so much.
- Bugs Bunny gives one to Elmer Fudd in the Looney Tunes short Rabbit of Seville.
There, you're nice and clean / although your face / looks like it might have gone through / a machine.
- Donald Duck almost gets a lethal shave from an automated barber's chair in the Classic Disney Short Modern Inventions.
- In A Close Shave, the villainous dog Preston ends up in an automatic sheep-shearing machine, where he is given the titular "close shave".
- The Tex Avery short The House of Tomorrow has a robot shaver that removes all the hair from the user's head—and also his nose and mouth. (But he looks at the camera and blinks, so it's not in the lethal examples.)


JavaScript and such
An analogy to describe the differences between HTML and CSS
HTML (Hyper Text Markup Language) is the fundamental building block of the web. We write basic webpages in HTML and if written correctly, HTML can communicate to computers just as well as it can communicate to humans. But even well written HTML is a little bland, which is where CSS (Cascading Style Sheets) comes in. If HTML is the building block, CSS is the paint. You can change look of HTML using rules written in CSS, making webpages look better and even make the information easier to understand.
Explain control flow and loops using an example process from everyday life
So if HTML is the information and CSS is the style, what if you want to add some more interactivity or logic to you webpages? This is where JavaScript come in. Javascript is like the brain of a webpage; you can write instructions that change the way a webpage acts by default. You could spend time writing hundreds of simple instructions and JavaScript will follow them all in order, but what makes JavaScript really powerful are the ways that you can change this order, called the Control Flow. You can loop sets of instructions and you can choose different sets of instructions to run based on different factors. Using an example from real life, say I want to water all my house plants. The instruction to water a single plant might looks like this.
- 1. Fill watering can with water.
- 2. Test soil to see if it is dry enough to require water.
- 3. If it is dry, pour in enough water to saturate the soil.
With these instructions, you would water the plant if it needs it. If the soil is already damp, you wouldn’t follow the third instruction.
But say you wanted to water all of your plants. You can simply follow the second and third instructions for every plant in your house.
- 1. Fill watering can with water.
- 2. Test soil to see if it is dry enough to require water.
- 3. If it is dry, pour in enough water to saturate the soil.
- 4. Repeat steps 2 and 3 for every plant.
In Javascript, this would be called a loop. Instead of writing the same two instructions for each plant, you loop through these instructions for each plant. Imagine if you owned a plant nursery and had to water thousands of plants! You wouldn’t write instructions for each plant, you would simply loop through the same steps until all the plants were watered. If you discover a plant that doesn’t need watering, you would ignore step 3 and move on to the next plant. This is how control flow works in JavaScript.
Describe what the DOM is and an example of how you might interact with it.
JavaScript interacts with a webpage using something called the DOM (Document Object Model). The DOM is a tree of all the elements of a webpage and where they fit in the hierarchy. Using the plant nursery again as an example, a table might have three pots on it and in each pot is a plant. If you were to consider the hierarchy using the Document Object Model, Each plant would be a child of a pot and the post would be a child of the table, which in turn would be a child of the nursery.
But in a webpage, the elements could be images, headings and paragraphs of text within a document. If a paragraph had a link, the link would be a child of the paragraph, which in turn would be a child of the webpage. The actual DOM of a webpage is much more complex and can be viewed using something built into Web Browsers called Dev Tools.
Explain the difference between accessing data from arrays and objects.
You can access items within an array using zero-based indexing, where the first item in an array is [0]. Objects contain properties consisting of key/value pairs and you can access these using bracket and dot notation to return the values associated to a key.
Explain what functions are and why they are useful.
Functions are defined sets of instructions. They can take input and act on this data to return an output. They decrease repetition and they can be used to house certain logic to make a program more understandable.


Welcome to dicealyzer.py’s documentation!¶
dicealyzer¶
dicealyzer is a python library for rolling and analyzing dice. The goal of the project is to allow people the easily define new pools of dice using standard dice notation, and to calculate probabilities over them.
Currently supported are:
Pools of dice of one type: d6, 2d20;
Simple arithmatic: 1d4 + 3, 3d6 * 5;
Dropping the highest/lowest dice: 4d6-L, 2d20-H, 3d100l1, 3d100k1;
And combinations of the above.


Looking for
the latest PyCon CZ website
?
Home
Talks & Videos
(current)
Workshops
Schedule
PyCon CZ 2018 Prague
1-3 June
Talks & Videos
(current)
Workshops
Schedule
Talks & Videos
Ann Barcomb
Casual contributors: who, why, and how
Christian Heimes
SSLError, now what?
Claus Aichinger
Shipping Containers using Dunder Methods
Clément Verna
How does the Fedora Infrastructure use Python
Daniel Kuchta
Classifying cancer nodules with deep learning and Python
David Žihala
How Python code is helping us to solve genetic codes
Flavio Percoco
Lessons Learned from Working Remote
Igor Davydenko
Is asyncio stack ready for web development?

Lukáš Hurych
Dark Python: Social engineering and hacking with 70% success rate
Lukáš Kokoška
How to handle linear HbbTV broadcast with Python for 10 TV stations
Magda Zawora
Python developer wannabe: How to make a change in your life and get satisfaction
Małgorzata Niewiem
GeoPython – how to save the world using Python
Martin Javorek
Proč
a
jak
učit děti programovat
Matěj Cepl
Wounded hero revived: Lessons learned from porting M2Crypto to Python 3
Míla Votradovec
Security of your application is just a few clicks away
Nick Lang
Lessons Learned from Working Remote
Ondřej Kokeš
DataFrames: scaling up and out
Petr Baudiš
Machine Learning and Keras
Petr Viktorin
Bytecodes and stacks: A look at CPython’s compiler and its execution model
Rae Knowler
Hypothesis: Property-based testing for Python
Robert Kuska
Bits and bytes of Python memory management
Ryan Kirkbride
Programming Music for Performance: Live coding with FoxDot
Sam Trojan
Three Ways My Programming Teacher Rocks (and you can too)!
Sasha Romijn
Everything I always wanted to know about crypto, but never thought I’d understand
Stan Prokop
How
not
to test software
Stefan Behnel
Cython to the Rescue
Tanya Tereshchenko
Host Your Own PyPI & Create Reproducible Environments using Pulp
Thiago da Silva Alves
Honeybee conservation with Python
Tomáš Ehrlich
GraphQL is the new black
Van Lindberg
Balloons, Projects, and Python: Building a Sustainable Community


Safety Assessment
From this Safety Assessment, I learnt about the importance of abiding by the safety rules and precautions like not disturbing friends while at work. I also learnt how to identify certain hazard signs and symbols like flammable, rotating parts, etc. It has allowed me to have a better understanding and awareness of what to do when I have to face certain emergency situations.


The Burnination of the Wordpress
I’m currently in the process of moving my blog to GitHub pages. I’m doing this for several reasons:
(1) Ease of creating/publishing posts
On my first few Wordpress posts I typed content directly in Wordpress.
I didn’t mind this at the time, but eventually I started using Emacs
org-mode
for all writing, including research papers, blog posts,
etc. After a semi-debacle of copying an html-exported org
file into
Wordpress, I never posted again. This manual labor approach did not
appeal to me. I discovered that I could host a blog through GitHub
pages and simply push a .md
file to a repository (much like I was
already doing with code repositories) to create a post. This is much,
much easier than what I was doing with Wordpress before. I’m still in
the process of figuring out how to use org-mode
on here, but I’ll be
there soon :)
(2) Version control
I have the unfortunate habit of nuking everying I do pretty regularly, and git makes me forgive myself exceedingly quicker than before.
(3) Less corporate control/profit/whatever
No more ads. More control for me. No longer do I get sick when I accidentally see options to pay for Wordpress themes thinking about all the innocent people who have willingly done this (now that I know about Jekyll). EDIT: So I found out that there are plenty of Jekyll themes you can pay for too. But I can still avoid seeing this easier on GitHub pages. And I have more control this way.
(4) Easier to reflect changes to my CV
Nothing wrong with a little self-promotion on a personal blog, right? With Wordpress I had to upload my new CV through the web interface every time I made a change (which is quite often). I’m still working on this, but I plan on creating a symbolic link from my CV repository here, so all I’ll have to do is push the changes to this repository when I update my CV. EDIT: I’m now doing this with hard links. Setting it up was pretty easy.


{%- extends 'base.html' -%} {%- block content -%}
The privacy and security of our volunteer models are our utmost priority.
One word of caution to our users who might be inclined to try and find out the identity of a model: Don't do it.
The act of asking a person who you know to have participated in this project is a violation of their privacy. Do not do this!  We're certain you won't like it. Please, be respectful!
Each of our models must sign our model release contract, that spells out clearly what the model's rights and the company's obligations are. If you're curious about the details, click the link above and read the contract yourself.
The key points in the contract:
The photos that are taken of the models have been destroyed and are not online, never were. The only digital files that remain of the original project are all available in our GitHub page.
All of our models have been released under the Creative Commons CC0 dedication, which rescinds all copyright over the models and places them into the public domain. Once the model files are released and users have downloaded them, it is impossible to take the models back from the public. We've made this clear to our human models when signing the contract. However, models can rescind the permission for us to host the models on our site and for us to retain the raw 3D models.
Also, we're compliant with the GDPR. The only personally identifying data we have for our models is secured offline and will never be online. The exact method by which we process the user's data and the process for how to rescind permission is laid out in the model release contract. Our site does require a login/registration to download the models and we use only one cookie to remember wether you prefer to load pages with images blurred or not. We do not want your private information! Our servers will log and retain your IP address for up to 30 days and then discard it. We only store IP addresses for a week in order to help troubleshoot issues with our traffic and/or our servers. Your IP addresses will never be sold or shared with anyone.


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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
SetRefRepr interface
Used in data flow analysis to represent a Stmt in HIR and an instruction in LIR.
This is a wrapper interface that bridges the different data structure and interfaces between HIR and LIR. Used in conjuction with
SetRefReprList
and its associated SetRefReprIterator
, this class serves as a basic building block for basic
data flow analysis/optimization.
SetRefReprImpl
| Field Summary | |
static int |
HAS_CONTROL
|
static int |
IS_RETURN
|
static int |
SETS
|
| Method Summary | |
boolean |
allFalse()
|
java.util.List |
callNodes()
|
FlowExpId |
defFlowExpId()
Returns the FlowExpId that correponds to the node returned by getDefNode() . |
IR |
defNode()
Returns the IR node which links to the definitely defined (set) symbol. |
FlowAnalSym |
defSym()
Returns the symbol that is definitely defined in this SetRefRepr . |
java.util.Iterator |
expIterator()
|
java.util.ListIterator |
expListIterator()
Returns a DFO iterator that iterates over nodes that have a FlowExpId attached, and, if "this" is value-setting, is not a Def node. |
java.util.ListIterator |
expListIterator(boolean pFromTop,
boolean pFromLeft)
Returns an DFO iterator that iterates over nodes that have a FlowExpId attached, and, if "this" is value-setting, is not a Def node. |
BBlock |
getBBlock()
|
ExpVector |
getDAvailIn()
|
FlowAnalSymVector |
getDDefIn()
|
FlowAnalSymVector |
getDDefined()
|
FlowAnalSym |
getDefSym()
|
FlowAnalSymVector |
getDExposed()
|
DefVector |
getDKill()
|
DefVector |
getDReach()
|
FlowAnalSymVector |
getDUsed()
|
boolean |
getFlag(int pFlag)
|
IR |
getIR()
Returns the (top) node this SetRefRepr represents. |
FlowAnalSymVector |
getPDefined()
|
ExpVector |
getPEKill()
|
FlowAnalSymVector |
getPExposed()
|
DefVector |
getPKill()
|
FlowAnalSymVector |
getPLiveOut()
|
DefVector |
getPReach()
|
FlowAnalSymVector |
getPUsed()
|
boolean |
hasCallWithSideEffect()
|
boolean |
hasControl()
Does this SetRefRepr is at the end of the
BBlock and has a role to determine the flow of control
after this SetRefRepr ? |
boolean |
isReturn()
|
java.util.Set |
lhsSyms()
Returns the set of symbols that correspond to the set of nodes that are within the LHS of this SetRefRepr . |
java.util.Set |
modSyms()
Returns the set of symbols that are possibly modified in this SetRefRepr . |
java.util.Set |
modSyms00()
Returns the set of symbols that are accessed by its name in the subprogram containing this SetRefRepr and possibly
defined in this SetRefRepr . |
NodeIterator |
nodeIterator()
DFO iterator over the nodes under the subtree returned by getIR . |
NodeListIterator |
nodeListIterator()
|
NodeListIterator |
nodeListIterator(boolean pFromTop,
boolean pFromLeft)
DFO iterator over the nodes under the subtree returned by getIR() . |
void |
setFlag(int pFlag,
boolean pYesNo)
|
boolean |
sets()
Returns true if this SetRefRepr involves value-setting, other than via the external call. |
IR |
topUseNode()
If this is a value-setting node, returns the top node of the RHS. |
java.lang.String |
toString()
Converts to a String object. |
java.util.Iterator |
useNodeIterator()
DFO iterator over the nodes under the subtree returned by getIR() , but the node returned by getDefNode() excluded. |
java.util.List |
useNodeList()
Returns the Sym that are used (read), in the depth first order
that appears under the subtree returned by getIR() . |
java.util.Set |
useSyms()
Returns the Set of the FlowAnalSyms used in this SetRefRepr. |
boolean |
writesToDefiniteAddress()
|
| Field Detail |
public static final int SETS
public static final int HAS_CONTROL
public static final int IS_RETURN
| Method Detail |
public IR getIR()
public java.util.List useNodeList()
Sym
that are used (read), in the depth first order
that appears under the subtree returned by getIR()
. Nodes that correspond to Sym
s that are possibly used
are included.
public java.util.Set useSyms()
public IR defNode()
sets()
returns
false
.
public FlowAnalSym defSym()
SetRefRepr
. Returns null if sets()
returns false
, or, for example, in HIR, if this SetRefRepr
corresponds to an assignment to an array element.
public java.util.Set modSyms()
SetRefRepr
.
Symbols externally modified (i.e. via external calls) are not included.
public java.util.Set lhsSyms()
SetRefRepr
. Returns null if sets()
returns false
. The return value is a superset of the return value of getModSyms()
.
public FlowExpId defFlowExpId()
FlowExpId
that correponds to the node returned by getDefNode()
.
public java.lang.String toString()
public NodeIterator nodeIterator()
getIR
.
public NodeListIterator nodeListIterator()
public NodeListIterator nodeListIterator(boolean pFromTop, boolean pFromLeft)
getIR()
.
pFromTop
- If true
, iterates from the top of the subtree.pFromLeft
- if true
, iterates from the left of the subtree.public IR topUseNode()
getIR()
.
public java.util.Iterator useNodeIterator()
getIR()
, but the node returned by getDefNode()
excluded.
public java.util.Iterator expIterator()
public java.util.ListIterator expListIterator()
public java.util.ListIterator expListIterator(boolean pFromTop, boolean pFromLeft)
pFromTop
- iterate from top?pFromLeft
- iterate from left?public boolean sets()
true
if this SetRefRepr
involves value-setting, other than via the external call.
public boolean hasCallWithSideEffect()
public java.util.List callNodes()
public boolean hasControl()
SetRefRepr
is at the end of the
BBlock
and has a role to determine the flow of control
after this SetRefRepr
?
public boolean isReturn()
public boolean allFalse()
public boolean getFlag(int pFlag)
public void setFlag(int pFlag, boolean pYesNo)
public boolean writesToDefiniteAddress()
public DefVector getDKill()
public DefVector getPKill()
public DefVector getPReach()
public DefVector getDReach()
public FlowAnalSymVector getDDefined()
public FlowAnalSymVector getPDefined()
public FlowAnalSymVector getDExposed()
public FlowAnalSymVector getPExposed()
public FlowAnalSymVector getDUsed()
public FlowAnalSymVector getPUsed()
public FlowAnalSymVector getPLiveOut()
public ExpVector getPEKill()
public ExpVector getDAvailIn()
public FlowAnalSymVector getDDefIn()
public java.util.Set modSyms00()
SetRefRepr
and possibly
defined in this SetRefRepr
.
Symbols that can be externally defined (i.e. via exteranl calls)
are included as well
(differs from modSym in this point). //##25-1
This is used in FindPEKill, FindDEGen. //##25-1
public BBlock getBBlock()
public FlowAnalSym getDefSym()
|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


{% if jobTitles ==[] %}
Jinja nested statement works great with try - except of Python! These are introductory items only to show up when
demonstration required:
{% else %}
jobs selected:
{% for jobTitl3 in jobTitles %}
{% endfor %}
{% endif %}
{% if cities ==[] %}
Jinja nested statement works great with try - except of Python! These are introductory items only to show up when
demonstration required:
{% else %}


 But sometimes those libraries are too low-level, which means that to do something simple–for example, make an HTTP request–takes way too much time. Even something like adding a timeout to a request can require writing several lines of code.
To make things easier for other Go enthusiasts, Gilt Principal Systems Engineer Jonathan Leibiusky and his friend Marcos Nils (the same duo behind the Goblin testing framework) created GoReq: a simple and sane HTTP request library for Go. With GoReq, you can make all your requests in a very simple and comprehensive way. You can also:
Send payloads in the body
You can send string
, Reader
or interface{}
in the body. The first two will be sent as text. The last one will be marshaled to JSON, if possible:
type Item struct {
Id int
Name string
}
item := Item{ Id: 1111, Name: "foobar" }
res, err := goreq.Request{
Method: "POST",
Uri: "http://www.google.com",
Body: item,
}.Do()
Specify request headers
The request headers that you probably use most often are Host
, Content-Type
, Accept
and User-Agent
. This is why Jon and Marcos decided to make it super-easy to set these headers:
res, err := Request{
Uri: "http://www.google.com",
Host: "foobar.com",
Accept: "application/json",
ContentType: "application/json",
UserAgent: "goreq",
}.Do()
However, sometimes you need to set other headers. With GoReq, you can:
req := Request{ Uri: "http://www.google.com" }
req.AddHeader("X-Custom", "somevalue")
req.Do()
Set Timeouts
GoReq supports two kinds of timeouts: A general connection timeout and a request specific one. By default, the connection timeout is one second. There is no default for request timeout, which means it will wait forever.
With GoReq, you can change the connection timeout by doing this:
goreq.SetConnectionTimeout(100 * time.Millisecond)
And specify the request timeout doing:
res, err := goreq.Request{
Uri: "http://www.google.com",
Timeout: 500 * time.Millisecond,
}.Do()
Use the Response and Error
GoReq will always return two values: a Response
and an Error
. If Error
is not nil
, it means that an error occurred while you were making the request and you shouldn’t use the Response
in any way. You can check what happened by getting the error message:
fmt.Printlm(err.Error())
To easily figure out whether the error was a timeout error, you can either ask the error or return it:
if serr, ok := err.(*goreq.Error); ok {
if serr.Timeout() {
...
}
}
return err
If you don’t get an error, you can safely use the Response
:
res.StatusCode //return the status code of the response
res.Body // gives you access to the body
res.Body.AsString() // will return the body as a string
res.Header.Get("Content-Type") // gives you access to all the response headers
Receive JSON
GoReq will help you to receive and un-marshal JSON.
type Item struct {
Id int
Name string
}
var item Item
res.Body.FromJsonTo(item)
Interested in contributing? Feel free to send Jon and Marcos your pull requests.


|
TSGL
A thread-safe graphics library
|
Displays a spectrogram of a given data set. More...
#include <Spectrogram.h>
Public Member Functions | |
| Spectrogram (SpectrogramDrawmode drawMode, int width, int height=-1) | |
| Explicit Spectrogram constructor method. More... | |
| ~Spectrogram () | |
| Spectrogram destructor method. More... | |
| void | updateLocked (int index, float weight=1.0f, float decay=0.8f) |
| Updates a spectrogram with new data, using locks for thread safety. More... | |
| void | updateCritical (int index, float weight=1.0f, float decay=0.8f) |
| Updates a spectrogram with new data, using critical sections for thread safety. More... | |
| void | draw (float ratio) |
| Updates the image on the spectrogram. More... | |
| void | finish () |
| Finishes the spectrogram. More... | |
Displays a spectrogram of a given data set.
Spectrogram is a class for visualizing data as a color spectrum. This data will typically be hues, but Spectrogram will accept any data mapping to an integer value between 0 and 255.
| tsgl::Spectrogram::Spectrogram | ( | SpectrogramDrawmode | drawMode, |
| int | width, | ||
| int | height = -1 |
||
| ) |
Explicit Spectrogram constructor method.
This is the explicit constructor for the Spectrogram class.
| drawMode | Method used for displaying spectral data. Can be one of CIRCULAR or HORIZONTAL. |
| width | The width of the Spectrogram canvas. |
| height | The height of the Spectrogram canvas. This value is ignored for HORIZONTAL Spectrograms. Setting this to -1 sets the width automatically. |
| tsgl::Spectrogram::~Spectrogram | ( | ) |
Spectrogram destructor method.
This is the destructor for the Spectrogram class.
Frees up memory that was allocated to a Spectrogram instance.
| void tsgl::Spectrogram::draw | ( | float | ratio | ) |
Updates the image on the spectrogram.
This function updates the Spectrogram's Canvas with the data since the last call to update() and redraws it.
| ratio | The scaling of the visualizer. Accepts values between 0.0f and 1.0f. |
| void tsgl::Spectrogram::finish | ( | ) |
Finishes the spectrogram.
This function tells the Spectrogram to free all of its memory and close down its Canvas.
| void tsgl::Spectrogram::updateCritical | ( | int | index, |
| float | weight = 1.0f , |
||
| float | decay = 0.8f |
||
| ) |
Updates a spectrogram with new data, using critical sections for thread safety.
This function adds the value of weight
to the hue specified by index
, and adds the value (decay
^n
)* weight
to all hues n
steps away from index
.
| index | Index of the hue to update. Value is taken mod 256. |
| weight | The value to add to index . |
| decay | Falloff for weight upon adjacent values. |
| void tsgl::Spectrogram::updateLocked | ( | int | index, |
| float | weight = 1.0f , |
||
| float | decay = 0.8f |
||
| ) |
Updates a spectrogram with new data, using locks for thread safety.
This function adds the value of weight
to the hue specified by index
, and adds the value (decay
^n
)* weight
to all hues n
steps away from index
.
| index | Index of the hue to update. Value is taken mod 256. |
| weight | The value to add to index . |
| decay | Falloff for weight upon adjacent values. |


For given m × n matrix A, we can always find orthogonal matrices U (m × m) and V (n × n) such that
$$U^T A V = \Sigma
= \left (
\begin{array}{ccccc}
\sigma_1 & \ldots & & & \\
\vdots & \sigma_2 & \ldots & & \\
& & \ddots & & \\
& & & \sigma_p
\end{array}
\right )$$
where p=min(m,n). The values σi are called the singular values of A.


|
*
Used for "dereference" pointer variables. Dereferencing a pointer gives us access to the value the pointer points to.
|
&
Used for finding the address of a variable
|


Runaway Bride
Directed by Gary Marshall
Written by Sara Parriott, Josann McGibben, and Audrey Wells
Starring Richard Gere, Julia Roberts, Joan Cusack, Christopher Meloni, and Hector Elizando
As Reviewed by James Brundage (MovieKritic2000)
The saying "they don't make them like they used to" should be revised for movies. In movies, they make them exactly like they used to. Thinking back on the romantic comedies I have seen, all of them have the same basic formula. Their characters are pulled out of some antiquated storeroom reserved for the genre, and then put to use in a simplistic script. The lines change. The specifics of the plot change. Everything else remains the same.
I am not going to say that Runaway Bride is a complete rip of Pretty Woman. I am not saying that the reunion is a remake in disguise. What I will say is that Runaway Bride is exactly what you should expect from a romantic comedy in the summer: a simple plot, a simple script, and two big names to guarantee box office revenues.
Runaway Bride is not as terribly cliché as The Wedding Singer, which had no originality whatsoever, but it is cliché to the point that the originality only comes in a few good jokes littered here and there and some nice lines. The plot is simple: unhappy single columnist for USA TODAY Ike Graham (Gere) hears about a woman that likes to leave her grooms on the alter named Maggie Carpenter (Julia Roberts). He writes a highly antagonistic column about her and then is fired when an angry letter to the editor contains a list of inaccuracies that the column contained. Not to be completely deterred, Fisher, a freelance photographer doing work for GQ, puts out the offer that if he gets an accurate scoop on Maggie, then GQ will take the article.
So, driving a car that no journalist could afford, he heads off to Hale, a town so stereotypically small town that it would urge bile from most New Yorkers. It has a barbershop quartet, a Main street, an Elm street, etc. Of course, as he gets to know the real Maggie, Ike begins falling in love with her.
There are the standard hurdles in the on screen relationship: the initial hatred of the man, the close-call to breakup caused by the woman at the end, and the fact that the woman is already in a relationship with someone who is obviously a jerk. All of these hurdles are jumped over with Olympic class skill by veterans of movie relationships (and mutual victims of real life divorce) Richard Gere and Julia Roberts… both adept competitors at the romantic comedy 50 yard dash.
At the end, everything turns out fine and dandy. We are even forced to sit through credits showing a series of happy couples (including the former boyfriend of Maggie, who has found true love in a New York tomboy).
As bitter a diatribe as I myself could go on about how the movies are always this way, Runaway Bride manages to pull off the same old con that we have seen a million times before with enough panache that we don't mind being deprived of our money. In fact, as with most horribly cliché movies (see Deep Blue Sea), we will willingly part ways with our money and come out of the theatre smiling.
Seeing as this is a reunion of the bunch that gave us Pretty Woman hundreds of trite romantic comedies ago, we might as well respect the sanctity of older people who can still cut it (even if they barely scrape by) and submit to seeing this film. Enjoy.
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.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Productive Disagreement among Motivated Reasoners
This is part III of a three-part series. This series will be posted simultaneously on Je Fais, Donc Je Suis, my personal blog, as well as the Rotman Institute Blog.
In part I of this series, I discussed motivated reasoning, reasoning in which emotions or values play a significant role. I looked at the work of Dan Kahan, which suggests that motivated reasoning is pervasive. This, in turn, suggested the gloomy thought that bad reasoning is pervasive. But, in part II, I argued that motivated reasoning is not necessarily bad reasoning. To make this case, I looked at two models of motivated reasoning (or, values in science) from STS scholar Daniel Sarewitz and philosopher of science Heather Douglas.
At this point, another gloomy thought seems to threaten. Motivated reasoning might not be bad reasoning, but it can still lead to intractable disagreement. If I — based in part on my values — accept the hypothesis that humans are causing climate change, and you — based in part on your values — reject this hypothesis, then how are we supposed to move forward? Now we recognize the role that emotions and values are playing in the disagreement; but disagreements over emotions and values seem to be as intractable as anything. In this final post in this series, I’ll address this gloomy thought.
Disagreement — even intractable disagreement — is not necessarily a bad thing. Consider a simple scientific debate: A scientist says that some body of evidence supports her hypothesis. A critic points out, say, that there’s a crucial assumption linking the evidence and the hypothesis, and that the scientist hasn’t given any reason whatsoever to believe this assumption. The observers (other scientists) nod their heads, and ask the scientist why they should accept her assumption. The scientist conducts more research, and eventually produces an argument in favor of the assumption. The critic still isn’t satisfied, but the observers generally find the scientist’s argument convincing, and so they accept her hypothesis.1
Now, in this simple scenario, the disagreement was intractable: the scientist never convinced the critic. But the disagreement was also quite productive. Without the critic, neither the scientist nor the observers would have realized that the hypothesis depended on the crucial assumption. Thanks to the critic, the scientist and the observers have a better understanding of the relationship between the evidence and the hypothesis, a better understanding of what all they’re accepting when they accept the hypothesis, and a better understanding of the ways in which the hypothesis could be undermined in the future.
Next, suppose that the critic was critical because (and only because) of motivated reasoning — his values conflicted with the hypothesis, and so he made a special effort to identify the crucial assumption. Then motivated reasoning made for good reasoning and a productive disagreement. Indeed, without his motivated reasoning, it seems, no-one would have bothered to identify the crucial assumption.
But now suppose that the critic — who, remember, never accepted the hypothesis — refuses to go quietly. Maybe, despite the fact that everyone else thinks the scientist has answered his criticism, he keeps making the same point over and over again, in the published scientific literature, then on his blog, and eventually on, say, Fox News. Suppose that the hypothesis has some policy implications that certain powerful lobbyists and politicians don’t like. They promote the critic’s criticisms, despite the fact that every other scientist in the field accepts the hypothesis. Let’s call this the celebrity skeptic scenario.
At this point, we should worry that things could have gone wrong. I don’t want to assume that they have actually gone wrong.2 Instead, I want to ask: how could we tell whether they’ve gone wrong?
In part II, my argument that motivated reasoning can be good reasoning relied on this claim: “If motivated reasoning leads us to recognize when our best science is ambiguous and uncertain, and we respond to this ambiguity and uncertainty properly, then our reasoning can be good.” This suggests two ways in which motivated reasoning can be bad reasoning:
- The science is no longer either ambiguous or uncertain.
- The science is still ambiguous or uncertain, but we’re not responding to it properly.
How would these play out in the celebrity skeptic scenario? First, the scientist might respond to the critic by eliminating all of the ambiguities and providing overwhelmingly evidence. She might show that, whatever set of choices we make, we get to the same conclusion; and that there is no reason whatsoever to think that the hypothesis is wrong.
In this case, it seems that the critic is rejecting the hypothesis only because of his values; or that his values are simply overriding good evidence and reasoning, which clearly and unambiguously are pointing towards the hypothesis. To put it another way, the two places where Sarewitz and Douglas find room for values — ambiguity and uncertainty — have been filled in. So the critic’s motivated reasoning is, in this case, bad reasoning.
I recognize that this scenario is a possibility. But I think eliminating all ambiguity and uncertainty will be practically impossible in many real-world cases. Consider what it would take to completely eliminate the ambiguities and uncertainties about climate change that we saw in part II.
Second, suppose that the scientist hasn’t eliminated all the ambiguity and uncertainty. But she fails to acknowledge this, and acts as though the science were unambiguous and certain. She could even claim that the critic is rejecting the hypothesis only because of his values. Or, in the other extreme, the critic exaggerates the ambiguity and uncertainty, and even claims that the scientist has accepted the hypothesis only because of her values. Indeed, perhaps both things happen, and each side accuses the other of thoroughgoing irrationality.
In these cases, the science is ambiguous and uncertain, but the participants in the debate are handling it badly. They are misrepresenting the extent of the ambiguity and uncertainty, and using this to mischaracterize their opponent in an effort to discredit him or her.
I think that this kind of scenario is all too common in our society. Our scientific findings are frequently ambiguous and uncertain, and we fail to handle this properly. Instead, we wield the unattainable ideal of unambiguity and certainty as a rhetorical weapon (recall the discussion of “settled science” in part II).
What would it look like if we handled ambiguity and uncertainty properly? Suppose the scientist — and the other members of the near-consensus — respond to the critic by saying something like this:
Yes, there are remaining uncertainties and ambiguities. We believe that these uncertainties and ambiguities have been sufficiently addressed, though we recognize that the critic doesn’t agree. We recognize that values and emotions play an important role in this disagreement.
More research could further address these issues. However, we do not think that any amount of research could address them completely. Our understanding of complex systems like these can never be totally unambiguous and totally certain.
In any case, if our hypothesis is correct, then we must take action now to prevent serious problems. We hope that policymakers can find policies that are acceptable to both believers and skeptics — that prevent the problems without creating other ones. But this is not something science can do.
There are still ambiguities and uncertainties. But the scientists acknowledge those ambiguities and uncertainties — they don’t try to pretend that they don’t exist — and they acknowledge that motivated reasoning is playing a role on both sides of the disagreement. This validates the critic’s criticisms, without completely conceding them.
Furthermore — and this part is even more important — the scientists recognize that disagreements about values are best resolved by a political process, not a scientific one. Science — at least, not ambiguous and uncertain science, which is nearly all science — can’t compel us to adopt a certain policy on the basis of pure logic and evidence. Indeed, wielding logic and evidence as a political weapon will probably just make things worse. Handling ambiguity and uncertainty well — making disagreement productive — requires recognizing where science leaves off and politics must take over.
My discussion of this scenario is based on the account of non-value-free objectivity developed by philosopher of science Helen Longino. ↩
Specifically, I don’t want to conclude that things have gone wrong just because there’s a near-consensus and a single holdout. There have been plenty of episodes in the history of science in which the near-consensus position turned out to be wrong, and the critics (who turned out to be right) were ignored because they weren’t men, weren’t white, didn’t have positions at prestigious universities, didn’t have the support of wealthy and powerful people, and so on. ↩


Five film highlights from the 2019 Kendal Mountain Festival
by Isabel ChoatWhat’s better on a chill November night than watching inspiring adventures? We pick impressive, and moving, films from among more than 100 at this year’s event
From a Siberian slackliner who tiptoes across a line slung 100 metres above Lake Baikal to a champion free-diver with seemingly superhuman breath-holding powers, the 2019 Kendal Mountain Festival – taking place this weekend (14-17 November) in the Lake District market town – features extraordinary tales of bravery and endurance. But, among the more extreme stories, there are also tales of the healing power of nature and inspiring stories of women adventurers, older athletes and disabled outdoors lovers.
Here are five highlights from the 103 films being shown over the weekend. Next year the film festival will go on tour, with Kendal film nights running in 22 locations from February to June.
Bob & Marion
Marion Luker (78) and husband Bob (81) have been running marathons for decades. In this inspirational film they talk about why they run – and why they have no intention of stopping. It’s interspersed with footage of them running across Dartmoor’s epic landscape.
The Running Pastor
Sverri Steinholm is a Lutheran pastor on the Faroe Islands who uses trail running to deal with the challenges of his job. The camera tracks him as he takes on routes through the islands’ wild, rugged terrain.
Wild Swim
“It’s the closest I can get to my brain being still.” In Wild Swim, Amy Walker talks honestly about how swimming helps her deal with depression and accept her body shape. In the film, shot at Janet’s Foss waterfall in North Yorkshire, she refers to the great joy she finds in cold-water swimming.
Climbing Blind
This film follows the story of blind climber Jesse Dufton as he prepares to scale a remote Scottish sea stack, the Old Man of Hoy. He leads the climb, with his partner, Molly, following.
Eastbound with Jenny Graham
Premiering at the festival, this film profiles the endurance cyclist who broke the round-the-world record by more than two weeks in 2018, riding more than 18,000 miles fully self-supported in just under 124 days. Her story is all the more impressive given that she was in her mid-30s before she started endurance cycling.
Looking for a holiday with a difference? Browse Guardian Holidays to see a range of fantastic trips


The Object History Debugger (OHD) modifies the JavaScript source code, so the locations captured refer to the modified source code. When calling pretty print OHD uses source maps to determine the original source location.
However, determining the original location is an asynchronous action. If you're using OHD to debug your app and you've paused execution OHD won't be able to display the source mapped location until you've resumed execution. Use prettyPrintSynchronously to be able to see the property history right away.


Preparation notes for final term exams.
I'm not responsible for anything!
The study and design of computing systems that perceives its environment and takes actions like human beings.
The term was introduced by John McCarthy in 1956
in the well-known Dartmouth Conference.
Intelligence: The ability to learn and solve problems.
Artifical Intelligence: is the intelligence exhibited by machines or software.
| Thinking humanly | Thinking rationally | Acting humanly | Acting rationally |
|---|---|---|---|
| The exciting new effort to make computers think. | The study of mental faculties through the use of computational models. | The study of how to make computers do things which, at the moment, people are better. | Computational Intelligence is the study of the design of intelligent agents. |
how to make a program to think like a human? We need to get inside the actual workings of human minds. There are three ways:
A Turing Test is a method of inquiry in artificial intelligence (AI) for determining whether or not a computer is capable of thinking like a human being.
The original Turing Test requires 3
terminals, each of which is physically separated from the other two. One terminal is operated by a computer, while the other two are operated by humans.
When to Stop Turning Test:
The test is repeated many times. If the questioner makes the correct determination in half of the test runs or less.
| Pros | Cons |
|---|---|
| Reduction in Human Error | High Costs of Creation |
| Takes risks instead of Humans | Making Humans Lazy |
| Available 24x7 | Unemployment |
| Helping in Repetitive Jobs | No Emotions |
| Digital Assistance | Lacking Out of Box Thinking |
| Faster Decisions | -- |
Artificial intelligence is defined as a study of rational agents. A rational agent could be anything which makes decisions, as a person, firm, machine, or software. It carries out an action with the best outcome after considering past and current percepts(agent’s perceptual inputs at a given instance).
An AI system is composed of an agent and its environment. The agents
act in their environment. The environment
may contain other agents. An agent is anything that can be viewed as :
| Agent | Sensor | Acutator |
|---|---|---|
| Human Agent | Eyes, Ear, & other organs. | Hands, legs, mouth, & other body parts. |
| Robotic Agent | Camera, Recorder, & infrared range finder. | Various motors. |
| Software Agent | Keystrokes, File contents, Received Network Packages. | Screen, Files, Sent Network Packets. |
Agent = Architecture + Agent Program
Architecture: is the machinery that the agent executes on. It is a device with sensors and actuators, for example : a robotic car, a camera, a PC.
Agent Program: is an implementation of an agent function.
Rationality is nothing but status of being reasonable, sensible, and having good sense of judgment.
Rationality is concerned with expected actions and results depending upon what the agent has perceived. Performing actions with the aim of obtaining useful information is an important part of rationality.
Ideal Rational Agent is capable of doing expected actions to maximize its performance measure, on the basis of −
| Rationality | Omniscience |
|---|---|
| all knowing with infinite knowledge | only knows the actual outcome of its actions and can act accordingly |
| Rationality | Perfection |
|---|---|
| maximizes expected performance | maximizes actual performance |
Specifying the task environment is always the first step in designing agent.
Performance, Environment, Actuators, Sensors
| Performance | Environment | Actuators | Sensors |
|---|---|---|---|
| safe, fast, legal, comfortable trip | roads, other traffic, pedestrians, customers | steering, accelerator, brake, signal, horn, display | camera, sonar, speedometer, GPS, odometer, engine sensors, keyboard, accelerator |
| Performance | Environment | Actuators | Sensors |
|---|---|---|---|
| healthy patient, minimize costs, lawsuits | patient, hospital, staff | display questions, tests, diagnosis, treatments, referrals | keyboard entry of symptoms, findings, patient’s answers |
| Performance | Environment | Actuators | Sensors |
|---|---|---|---|
| Percentage of parts in correct bins | Conveyer belt with parts, bins | Jointed arm and hand | camera, joint angle sensors |
| Single-Agent | Multi-Agent |
|---|---|
| environments are those on which a finite set of possibilities can drive the final outcome of the task. | Environments rely on unknown and rapidly changing data sources. |
| Fully Observable | Partial Observable |
|---|---|
| if the sensors can always see the entire state of the environment. | if the sensors can see only a fraction of the state. Partial Observable agent needs memory. |
| Deterministic | Strategic | Stochastic |
|---|---|---|
| Where your agent’s actions uniquely determined the outcome. | Environment is deterministic except for the actions of other agents. | We can’t predict the outcome. |
| Episodic | Sequential |
|---|---|
| The agent's experience is divided into atomic "episodes". | The current decision could affect all future decisions. |
| Each episode consists of the agent perceiving and then performing a single action. | -- |
| The choice of action in each episode depends only on the episode itself. | -- |
| Static | Dynamic | Semi-Dynamic |
|---|---|---|
| Environment cannot change while an agent is deliberating | Environment can change while an agent is deliberating | If the environment itself doesn’t change with time but the agent's performance score does. |
| Discrete | Continuous |
|---|---|
| Environments are those on which a finite set of possibilities can drive the final outcome of the task. | Environments rely on unknown and rapidly changing data sources. |
| Task Environment | Observable | Determines | Episodic | Static | Discrete | Agent |
|---|---|---|---|---|---|---|
| Crossword Puzzle | Fully | Determines | Sequential | Static | Discrete | Single |
| Chess with clock | Fully | Strategic | Sequential | Static | Discrete | Multi |
| Poker | Partially | Strategic | Sequential | Static | Discrete | Multi |
| Backgammon | Fully | Stochastic | Sequential | Static | Discrete | Multi |
| Taxi driving | Partially | Stochastic | Sequential | Dynamic | Con | Multi |
| Medical Diagnosis | Partially | Stochastic | Sequential | Dynamic | Con | Single |
| Image Analysis | Fully | Deterministic | Episodic | Semi | Con | Single |
| Part pick mg robot | Partially | Stochastic | Episodic | Dynamic | Con | Single |
| Refing controller | Partially | Stochastic | Sequential | Dynamic | Con | Single |
| Interstice English tutor | Partially | Stochastic | Sequential | Dynamic | Discrete | Multi |
As a natural language, first-order logic also has two main parts:
The syntax of FOL determines which collection of symbols is a logical expression in FOL. The basic syntactic elements of FOL are symbols. We write statements in short-hand notation in FOL.
| Constant | 1, 2, A, John, Mumbai, cat, |
|---|---|
| Variables | x, y, z, a, b, |
| Predicates | Brother, Father, Uncle, |
| Function | sqrt, LeftLegOf, pow, |
| Connectives | ∧, ∨, ¬, ⇒, ⇔ |
| Equality | == |
| Quantifier | ∀, ∃ |
Predicate (term1, term2, ......, term n)
.Fahan and Nauman are brothers: => Brothers(Farhan, Nauman).
Chinky is a cat: => cat (Chinky).
First-order logic statements can be divided into two parts:
Consider the statement: "x is an integer." it consists of two parts, the first part x
is the subject of the statement and second part is an integer
, is known as a predicate.
There are two types of quantifier:
Universal quantifier is a symbol of logical representation, which specifies that the statement within its range is true for everything or every instance of a particular thing.
If x is a variable, then ∀x is read as:
All man drink coffee:
Let a variable x which refers to a cat so all x can be represented in UOD as below:
∀x man(x) → drink (x, coffee).
It will be read as: There are all x where x is a man who drink coffee.
Existential quantifiers are the type of quantifiers, which express that the statement within its scope is true for at least one instance of something.
It is denoted by the logical operator ∃, which resembles as inverted E. When it is used with a predicate variable then it is called as an existential quantifier.
If x is a variable, then existential quantifier will be ∃x or ∃(x). And it will be read as:
Some boys are intelligent.
∃x: boys(x) ∧ intelligent(x)
It will be read as: There are some x where x is a boy who is intelligent.
Some examples FOL using quantifier:
∀x bird(x) → fly(x).
∀x man(x) → respects (x, parent).
∃x boys(x) → play(x, cricket).
Wherever we go, we are “datafied"
| Machine Learning | Statistical |
|---|---|
| Decision trees | Hypothesis testing |
| Rule induction | Experimental design |
| Neural Networks | Linear regression |
| Clustering method | Logistic regression |
| Association rules | -- |
| Visualization | -- |
| Genetic algorithm | -- |
| Graphical models | -- |
In Supervised learning, you train the machine using data which is well "labeled." It means some data is already tagged with the correct answer. It can be compared to learning which takes place in the presence of a supervisor or a teacher.
Unsupervised learning is a machine learning technique, where you do not need to supervise the model. Instead, you need to allow the model to work on its own to discover information. It mainly deals with the unlabelled data.
| Parameters | Supervised | Unsupervised |
|---|---|---|
| Process | In a supervised learning model, input and output variables will be given | In unsupervised learning model, only input data will be given |
| Input Data | Algorithms are trained using labeled data | Algorithms are used against data which is not labeled |
| Algorithms Used | Support vector machine, Neural network, Linear and logistics regression, random forest, and Classification trees | Unsupervised algorithms can be divided into different categories: like Cluster algorithms, K-means, Hierarchical clustering, etc |
| Computational Complexity | Supervised learning is a simpler method | Unsupervised learning is computationally complex |
| Accuracy of Results | Highly accurate and trustworthy method | Less accurate and trustworthy method. |
| Real Time Learning | Learning method takes place offline | Learning method takes place in real time |
| Main Drawback | Classifying big data can be a real challenge in Supervised Learning. | You cannot get precise information regarding data sorting, and the output as data used in unsupervised learning is labeled and not known. |
🔵 K-Nearest Neighbour is one of the simplest Machine Learning algorithms based on Supervised Learning technique.
🔵 K-NN algorithm assumes the similarity between the new case/data and available cases and put the new case into the category that is most similar to the available categories.
🔵 K-NN algorithm stores all the available data and classifies a new data point based on the similarity. This means when new data appears then it can be easily classified into a well suite category by using K- NN algorithm.
🔵 K-NN algorithm can be used for Regression as well as for Classification but mostly it is used for the Classification problems.
🔵 K-NN is a non-parametric algorithm, which means it does not make any assumption on underlying data.
🔵 It is also called a lazy learner algorithm because it does not learn from the training set immediately instead it stores the dataset and at the time of classification, it performs an action on the dataset.
Example:
Suppose, we have an image of a creature that looks similar to cat and dog, but we want to know either it is a cat or dog. So for this identification, we can use the KNN algorithm, as it works on a similarity measure. Our KNN model will find the similar features of the new data set to the cats and dogs images and based on the most similar features it will put it in either cat or dog category.
Below are some points to remember while selecting the value of K in the K-NN algorithm:
| Pros | Cons |
|---|---|
| It is simple to implement. | Always needs to determine the value of K which may be complex some time. |
| It is robust to the noisy training data | The computation cost is high because of calculating the distance between the data points for all the training samples. |
| It can be more effective if the training data is large. | -- |


For more information visit:
We can tell webview
to open some web page, in our
case, we want to render an existing web page
grid.html
stored in our project dir. In order to
tell our webview
what to show, we’ll need
to define its source:
<webview src="./grid.html" autosize></webview>
When autosize
attribute is enabled, the
webview
container size cannot be less than the
minimum values (CSS min-height
and
min-width
) or greater than the maximum (CSS
max-height
and max-width
). A
webview
tag can be styled just like a regular
html tag, using the style or class attributes.
There are also a number of event listener for the
webview
tag. The
did-start-loading
is called when the web page
begins to load, did-finish-load
is called when
the web page is loaded, did-fail-load
is called
when the web page fails to load and dom-ready
is
called when the web page completely loaded and parsed.
Inserting webview
tag to index.html
We’ll create a webview
tag and load the
grid.html file by providing the src
path:
//index.html <webview src="./grid.html" style="flex:1 1 auto;"></webview>
-
The
onload
event executes when index.html fully loaded and parsed. -
The
dom-read
event executes when thewebview
completely loaded and parsed the grid.html file. - We then includes the renderer.js file
Creating grid.html file
In grid.html file, we will create an HTML table with three columns to display duplicate files. The first column will show a check box to select a file, the second column will show the size of the file and the third column will show the file name including the full path:
//grid.html

  <input type="checkbox" id="checkBoxSelectAll"> 	 Size	 File

The renderer.js file will send the duplicate files, their sizes and their hashes to grid.html in an array form. The grid.html will append the received data to the table dynamically.
In previous tutorials, we already learned how to insert table rows and cell dynamically:
- Insert table rows and cells dynamically
- Creating resizable table grid. (Follow this tutorial if you want a resizable table grid for grid.html).
Let’s create the complete grid.html file step by step. First we insert the style tag after opening the head tag to style HTML table:

Next, we insert the table and table heading tags:

 <input type="checkbox" id="checkBoxSelectAll">	 Size	 File

Next, we write JavaScript code which we created on https://www.brainbell.com/javascript/dynamic-table-rows.html to dynamically insert rows and cells:

In next tutorial, we’ll modify the renderer.js file to communicate with grid.html file. To download grid.html and index.html files, follow these links: grid.html and index.html.


Alert!
Alert!
| # | Order Date | Customer Name | Customer Address | Customer Phone | Amount | Status | Action |
|---|---|---|---|---|---|---|---|
| # | Waiting | In Shipping Finish||||||
| # | Order Date | Customer Name | Customer Address | Customer Phone | Amount | Status | Action |
| # | Order Date | Customer Name | Customer Address | Customer Phone | Amount | Status | Action |
|---|---|---|---|---|---|---|---|
| # | Waiting | In Shipping Finish||||||
| # | Order Date | Customer Name | Customer Address | Customer Phone | Amount | Status | Action |


News Flash: If you own stocks, you are not quite broke.
News Flash: If you own stocks, you are not quite broke.
Market crash!
News Flash : Check your stocks!
dont worry
item1
item2
item3
item4


pandemic_simulator
pandemic_simulator.data
pandemic_simulator.data.h5_data_loader
pandemic_simulator.data.h5_data_saver
pandemic_simulator.data.interfaces
pandemic_simulator.data.interfaces.data_loader
pandemic_simulator.data.interfaces.data_saver
pandemic_simulator.environment
pandemic_simulator.environment.city_registry
pandemic_simulator.environment.contact_tracing
pandemic_simulator.environment.contact_tracing.max_slot_contact_tracer
pandemic_simulator.environment.done
pandemic_simulator.environment.infection_model
pandemic_simulator.environment.infection_model.seir_infection_model
pandemic_simulator.environment.interfaces
pandemic_simulator.environment.interfaces.contact_tracer
pandemic_simulator.environment.interfaces.ids
pandemic_simulator.environment.interfaces.infection_model
pandemic_simulator.environment.interfaces.location
pandemic_simulator.environment.interfaces.location_rules
pandemic_simulator.environment.interfaces.location_states
pandemic_simulator.environment.interfaces.pandemic_observation
pandemic_simulator.environment.interfaces.pandemic_testing
pandemic_simulator.environment.interfaces.pandemic_testing_result
pandemic_simulator.environment.interfaces.pandemic_types
pandemic_simulator.environment.interfaces.person
pandemic_simulator.environment.interfaces.person_routine
pandemic_simulator.environment.interfaces.registry
pandemic_simulator.environment.interfaces.regulation
pandemic_simulator.environment.interfaces.sim_state
pandemic_simulator.environment.interfaces.sim_state_consumer
pandemic_simulator.environment.interfaces.sim_time
pandemic_simulator.environment.job_counselor
pandemic_simulator.environment.location
pandemic_simulator.environment.location.base
pandemic_simulator.environment.location.base_business
pandemic_simulator.environment.location.cemetery
pandemic_simulator.environment.location.home
pandemic_simulator.environment.location.hospital
pandemic_simulator.environment.location.misc_locations
pandemic_simulator.environment.location.office
pandemic_simulator.environment.location.recreation
pandemic_simulator.environment.location.road
pandemic_simulator.environment.location.school
pandemic_simulator.environment.location.store
pandemic_simulator.environment.pandemic_env
pandemic_simulator.environment.pandemic_sim
pandemic_simulator.environment.pandemic_testing_strategies
pandemic_simulator.environment.pandemic_testing_strategies.random_testing
pandemic_simulator.environment.person
pandemic_simulator.environment.person.base
pandemic_simulator.environment.person.minor
pandemic_simulator.environment.person.retired
pandemic_simulator.environment.person.worker
pandemic_simulator.environment.regulation_stages
pandemic_simulator.environment.reward
pandemic_simulator.environment.simulator_opts
pandemic_simulator.script_helpers
pandemic_simulator.script_helpers.evaluation
pandemic_simulator.script_helpers.experiments
pandemic_simulator.script_helpers.locations
pandemic_simulator.script_helpers.person_routines
pandemic_simulator.script_helpers.plot_helpers
pandemic_simulator.script_helpers.population
pandemic_simulator.script_helpers.population_params
pandemic_simulator.script_helpers.setup_sim_env
pandemic_simulator.utils
pandemic_simulator.viz
pandemic_simulator.viz.graph_viz
pandemic_simulator.viz.mplab_evaluation
pandemic_simulator.viz.mplib_viz
pandemic_simulator.viz.pandemic_viz


--- layout: default ---
Hey Sal, where have you been? I took a step back after a bad experience with international development, got married, reconsidered my goals, set up a home, and got healthy!
These days, I'm wrapping my head around the new breed of serverless technologies, setting up to make tools for education and privacy.
I'm the founder of Source Institute, a skunkworks for peer learning projects, Europe's first entrepreneur-led education company , and a global community that developed The Lean Startup movement.
My work has been used at Seedcamp, Techstars, Oxford Univsersity, UCL, Imperial College, Unilever, and the UK Royal Academy Of Engineering.
I write about peer learning, humanitech, and privacy. You can get my writing by email.
| {{ post.title | escape }} |


[§52D-1] Police commission. A police commission is created for each of the counties. The composition, appointment, terms of office, staff, powers, duties, and functions of each police commission shall be prescribed by the charter of each county. [L 1989, c 136, pt of §2]


The Milky Way is the galaxy that contains the solar system. Moreover, the galaxy's definition is perceived as a "band of light seen in the night sky" - definition from the earth. The term "Milky Way" originates from the Latin word "via lactea" that appears as a band due to its disk-shape structure.
About the Galaxy & the Milky Way via wikipedia


NICOLE RODRIGUEZ
Designer | Developer
PORTFOLIO
ABOUT
RESUME
DIGITAL
ANALOG
STUDIO
Lighting Design | "Barefoot" Project
Scenic Painting Examples
Photography Examples


head module¶
-
class
head.
Head
(tools, publisher)[source]¶ Bases:
object
A representation of the robot head
The Head class is intended to be instantiated to a head object which aggregates the subclassed tool objects and the smoothieAPI object. It also hold a references to theQueue and publisher objects. Appropriate methods are exposed to allow access to the aggregated object’s functionality.
Todo: - Figure out if
move_plunger()
is redundant and refactor accordingly - Should
theState
be updated BEFORE the actions taken from given state? - Is
create_deck()
redundant? - Is
create_pipettes()
needed?
-
calibrate_pipette
(pipette, property_)[source]¶ Sets the value of a property for given pipette by fetching state information from smoothieboard(
smoothie_ser2net.get_state()
)
-
configure_head
(head_data)[source]¶ Configure the head per Head section of protocol.json file
Example head_data: - head_data = dictionary of head data (example below):
- “p200” : {
- “tool” : “pipette”, “tip-racks” : [{“container” : “p200-rack”}], “trash-container” : {“container” : “trash”}, “tip-depth” : 5, “tip-height” : 45, “tip-total” : 8, “axis” : “a”, “volume” : 160
}, “p1000” : {
“tool” : “pipette”, “tip-racks” : [{“container” : “p1000-rack”}], “trash-container” : {“container” : “trash”}, “tip-depth” : 7, “tip-height” : 65, “tip-total” : 8, “axis” : “b”, “volume” : 800}
-
create_deck
(new_deck)[source]¶ Create a dictionary of new container names to be stored in each pipette given a deck list
Calls
head.save_pipette_values()
right before returning dictionaryReturns: container data for each axis Return type: dictionary Todo: - Is
create_deck()
redundant?
- Is
-
create_pipettes
(axis)[source]¶ Create and return a dictionary of Pipette objects
Returns: A dictionary of pipette objects Return type: dictionary Note: Seems nothing calls this... Todo: - Is
create_pipettes()
needed?
- Is
-
get_deck
()[source]¶ Get a dictionary of container names currently stored in each pipette
Calls
head.save_pipette_values()
right before returning dictionaryReturns: container data for each axis Return type: dictionary
-
get_pipettes
()[source]¶ Get a dictionary of pipette properties for each pipette on head
Returns: Pipette properties for each pipette Return type: dictionary
-
get_tool_type
(head_tool)[source]¶ Get the tooltype and axis from head_tool dict
Returns: (tool_type, axis) Return type: tuple
-
move
(locations)[source]¶ Moves the head by adding locations to theQueue
var locations = [location,location,...]
var location = { ‘relative’ : true || false || undefined (defaults to absolute) ‘x’ : 30, ‘y’ : 20, ‘z’ : 10, ‘a’ : 20, ‘b’ : 32 }
-
move_pipette
(axis, property_)[source]¶ Move the pipette to one of it’s calibrated positions (top, bottom, blowout, droptip)
This command is useful for seeing saved pipette positions while calibrating
-
move_plunger
(axis, locations)[source]¶ Move the plunger for given axis according to locations
Note: This is only called from subscriber
and may be redundantlocations = [loc, loc, etc... ]
loc = {‘plunger’ : number}
Todo: - Figure out if
move_plunger()
is redundant and refactor accordingly
- Figure out if
-
on_state_change
(state)[source]¶ Check the given state (from Smoothieboard) and engage
theQueue
(the_queue
) accordinglyIf the state is 1 or the state.delaying is 1 then
theQueue
is_busy,else if the state is 0 and the state.delaying is 0,
theQueue
is not busy, clear the currentCommand for the next one, and if not paused, telltheQueue
to step. Then updatetheState
.Todo: - Should
theState
be updated BEFORE the actions taken from given state?
- Should
-
pipette
(group)[source]¶ Run a pipette operation based on a given Group from protocol instructions
- group = {
- command : ‘pipette’, axis : ‘a’ || ‘b’, locations : [location, location, ...]
}
- location = {
- x : number, y : number, z : number, container : string, plunger : float || ‘blowout’ || ‘droptip’
}
If no container is specified, XYZ coordinates are absolute to the Smoothieboard if a container is specified, XYZ coordinates are relative to the container’s origin (180 degree rotation around X axis, ie Z and Y +/- flipped)
-
step
(locations)[source]¶ Step to the next command in theQueue(
the_queue
) object’s qlistlocations = [location,location,...]
location = { ‘x’ : 30, ‘y’ : 20, ‘z’ : 10, ‘a’ : 20, ‘b’ : 32 }
-
theState
= {'z': 0, 'b': 0, 'x': 0, 'y': 0, 'a': 0}¶
- Figure out if


---
layout: default
title: About
---
OpenOMF is a Open Source remake of "One Must Fall 2097" by Diversions Entertainment.
Since the original DOS game from 1994 still uses IPX networking and is a pain to set
up, the community needed a better solution to keep playing the game we love. Together
with networking, we try to make it easier to play One Must Fall in original glory on
multiple platforms (Linux, Mac OSX, Windows, BSD to name a few).
Project goals
- At first, as faithful a game binary to the original as possible. When this is reached, we can work on new features.
- Better game controller support (new gamepads etc.)
- Better networking support. The original game used IPX/SPX networking, which can nowadays be emulated on eg. dosbox. However, dosbox IPX/SPX routing is annoying to set up and the original game will run slowly on it.
- More network game types. For example full Internet tournaments are being planned.
- Support for new graphics and audio. The current version of OpenOMF already supports loading alternate music files. Support for alternate sprites is coming after the game is otherwise working okay.
- Enhanced tournament mode!
- Enjoying challenges in reverse-engineering and coding :)
Releases
Our latest releases are always available at
https://github.com/omf2097/openomf/releases.
Links
Contact
Join us on Discord if you want to get in contact with us.


Javascript Quiz
Want to test your Javascript skills?
Let's begin!
Start Quiz
1.Inside which HTML element do we put the Javascript file?
<Javascript>
<scripting>
<script>
<js>
Next Question
2.How do you write an IF statement for executing some code if "i" is NOT equal to 5?
if (i<>5)
if (i=!5)
if(i<5)
if(i!=5)
Next Question
3.The external Javascript file must be contained in the script tag.
True
False
Next Question
4.What is the correct way to write a javascript array?
var colors="red", "green", "blue"
(1:"red", 2:"green", 3:"blue")
["red", "green", "blue"]
1 =("red"), 2 =("green"), 3 =("blue")
Next Question
5.Javascript is the same as Java.
True
False
View Results


US has the upper hand in US-China trade war, but ... - Hu Xijin
by Ross J BurlandThe Global Times Chief in Editor, Hu Xijin, has crossed the wires via Twitter with the following statement:
"The US has the upper hand in US-China trade war, which allows it to decide when to end the trade war, but far from enough for it to decide how to end the trade war. The US side wants both, then it needs to change an adversary."
FX implications:
Hu Xijin came to fame during the onset of the trade wars between China and the US, an outspoken commentator on the matter from which markets have tuned into for guidance as to what the latest mood is from the Chinese officials involved in brokering a deal between Washington and Beijing. His comments have at times, moved the markets – On this occasion, failing to do so – "It’s fair to say that some signs of trade-headline fatigue are emerging in markets," analysts at ANZ Bank argued when commenting over previous online publications related to trade wars from which markets took little impetus from, less so than usual.


New York City man stabbed, pet dog slashed in subway station, police say
by Nicole DarrahA homeless man was stabbed and his dog was slashed at a New York City subway station on Thursday morning, according to police.
The duo was inside the 14th Street Station at Sixth Avenue in the Chelsea neighborhood of Manhattan just after 4 a.m. when a fight broke out between the 34-year-old, who was sleeping on a bench, and another man.
MICHIGAN MAN WHO STABBED DOG GETS SENTENCE TRIPLED BY JUDGE
Investigators said the fight escalated and the suspect stabbed the homeless man in the calf before slashing his pet Rottweiler in the leg with a knife, WABC-TV reported.
LAS VEGAS POLICE K-9 STABBED REPEATEDLY BY SUSPECT 'DOING EXTREMELY WELL' IN RECOVERY
The suspect fled the subway station after the attack, authorities said.  The NYPD said a woman was with him during the incident.
Both the man and the dog were treated for their injuries and are expected to be OK, according to WNBC.
CLICK HERE TO GET THE FOX NEWS APP
Anyone with information on the attack is urged to contact NYPD's Crime Stoppers at 1-800-577-8477.


SHA-2 is a set of cryptographic hash functions (SHA-224, SHA-256, SHA-384, SHA-512, SHA-512/224, SHA-512/256) designed by the U.S. National Security Agency (NSA) and published in 2001 by the NIST as a U.S. Federal Information Processing Standard (FIPS). SHA stands for Secure Hash Algorithm. SHA-2 includes a significant number of changes from its predecessor, SHA-1. SHA-2 currently consists of a set of six hash functions with digests that are 224, 256, 384 or 512 bits.
SHA-256 and SHA-512 are novel hash functions computed with 32 and 64-bit words, respectively. They use different shift amounts and additive constants, but their structures are otherwise virtually identical, differing only in the number of rounds. SHA-224 and SHA-384 are simply truncated versions of the first two, computed with different initial values.
SHA-512/224 and SHA-512/256 are also truncated versions of SHA-512, but the initial values are generated using the method described in FIPS PUB 180-4. The SHA-2 family of algorithms are patented in US 6829355. The United States has released the patent under a royalty-free license.
In 2005, security flaws were identified in SHA-1, namely that a mathematical weakness might exist, indicating that a stronger hash function would be desirable. Although SHA-2 bears some similarity to the SHA-1 algorithm, these attacks have not been successfully extended to SHA-2.
Currently, the best public attacks break preimage resistance 52 rounds of SHA-256 or 57 rounds of SHA-512, and collision resistance for 46 rounds of SHA-256, as shown in the "Cryptanalysis and Validation" section below.
The SHA256 hash value of "Hello" is:
SHA256("Hello") =
185f8db32271fe25f561a6fc938b2e264306ec304eda518007d1764826381969
Even a small change in the message will (with overwhelming probability) result in a mostly different hash, due to the avalanche effect. For example, consider these almost identical sentences:
SHA256("Hello Frank, how are you?") =
15153df260fe870f8a493794edf65c32ea94a62e2eb59296f075dfb32b8e6933
SHA256("Hello Franz, how are you?") =
2197069cee67441e8968dc930e1f60f92648c51cb8fd47323b46504ca8439fa2
Source: http://en.wikipedia.org/wiki/SHA-2


Collaboratively engineer impactful niches for business dramatically crossunit.
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Learn MoreArtificial intelligence based on neural networks, built using the newest algorithms for self-learning, analysis and comparison of neurons in which will be self-corrected, based on the history of success and failure, taking into account the correlation of the objects of analysis.
Due to the use of large computing power and artificial based on the neural network, the NRM assistant will instantly analyze user data and offer solutions for their further use.
Download WhitepaperDue to the use of large computing power is assistant will instantly analyze user data offer solutions for their further use orem Ipsum has been the industry's st
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Due to the use of large computing power and artificial instantly analyze user data and offer solutions for their further use.
It is a long established fact that a reader will be looking at its layout.
Established fact that a reader will
be looking at its layout.
Established fact that a reader will
be looking at its layout.
Established fact that a reader will
be looking at its layout.
Artificial based on the neural network, the NRM assistant will instantly analyze user data use.
Artificial intelligence based on neural networks, built using the newest algorithms for self learning, analysis and comparison of neurons in which will be self-corrected, based on the history.
Artificial intelligence based on neural networks, built using the newest algorithms for self learning, analysis and comparison of neurons in which will be self-corrected, based on the history.
Artificial intelligence based on neural networks, built using the newest algorithms for self learning, analysis and comparison of neurons in which will be self-corrected, based on the history.
Artificial intelligence based on neural networks, built using the newest algorithms for self learning, analysis and comparison of neurons in which will be self-corrected, based on the history.
Artificial based on the neural network, the NRM assistant will instantly analyze user data use.


Mind Over Matter Workshop
In this workshop, Alysia Birkholz from the Office of Professional Development talked about how to train our brains for optimism and why it’s important for graduate school success.
Tips for Success in Graduate School
- Show up. Go to class, meetings, and seminars.
- Be inquisitive. Ask good questions, often. Contribute in class, meetings, and seminars. Talk to other students and faculty. Read books and papers.
- Get to know other people in the department. Talk to people and be friendly. Meet with faculty and make a good impression.
- Be proactive. Don’t wait for someone to tell you what to do, ask them what you should be doing.
- Train yourself for optimism. This is the focus of this particular workshop.
Resilience
People who are resilient don’t get there by accident. They prepare to be resilient.
Resilient graduate students:
- build strong relationships
- develop optimism
- practice holistic self care
- do things that bring purpose to their day, week, or month
- are proactive and use available resources to thrive
Never forget the power of YET. “I am not good at …” represents a fixed mindset. It does not leave room for becoming good at “…”. “I am not good at …, yet.” represents a growth mind set. It acknowledges that you are not good at “…” right now, but you will become good at it.
ANTs
ANTs are Automatic, Negative Thoughts, or repeated, untrue thoughts that are self-defeating. These thoughts often get in the way, ruin our productivity, and convince us that things are worse than they really are.  The first step to dealing with ANTs is identifying and naming them.
Common ANTs with Advisors and Faculty
- Mind Reading: This is when you assume what someone else is thinking or feeling with very little evidence. For example if you were to pass your advisor in the hallway and they didn’t smile at you and you assume that it’s because they didn’t like an email you sent earlier in the day. In reality, they are probably thinking about any number of things having nothing to do with you.
- Personalizing: This is assuming that someone else’s mood or behavior must have something to do with you.  Like us, faculty have many things going on in both their professional and personal lives that have the potential to bother or upset them.
- Filtering: This is when we choose to only absorb negative feedback even when it is accompanied by even more positive feedback. For example if your advisor tells you that the proposal you wrote is mostly very good, but there are a number of things to work on and you choose to focus on the latter part and think that they must be disappointed in you.
- Should Statements: These are unrealistic expectations you put on yourself. For example, “My presentation has to be perfect at every conference I go to.”
- Overgeneralization: Coming to a conclusion based on only one data point. i.e. “I didn’t do well on that paper, I’m going to fail out of grad school.” We must keep in mind that one data point is not statistically significant.
- Catastrophizing: This is when we overestimate the chances of disaster. i.e. “If I present at this conference, I’m going to make a fool of myself and my career will be over.”
These are things that we all do all the time and they are completely normal. However, we have to learn how to deal with them when they come up, so that they do not drag us down or hold us back.
Challenging the ANTs
Notice ANTs in the moment and perhaps even write them down.  Provide counter-evidence to disprove the negative thoughts. Question the negative belief in general and ask yourself whether there is actual data to back it up. Look more deeply at what could have caused these thoughts. Think of a way to transform the negative thought into a positive one. For example, instead of saying “I’m not good at …”, say “I’m not good at …, yet, but I will work on it and get better.” However, sometimes we just don’t feel like we belong here.
Impostor Syndrome
In 1978, Pauline Clance and Suzanne Imes coined the term impostor syndrome as a feeling of “phoniness in people who believe that they are not intelligent, capable, or creative despite evidence of high achievement.” People who experience impostor syndrome tend to be highly successful. They are “highly motivated to achieve” and “live in fear of being ‘found out’ or exposed as frauds.” Studies have found that 70% of people experience impostor syndrome in their lifetimes. There are different versions of feeling like an impostor:
- Diligence: You work hard at preventing people from discovering that you are an impostor, which tends to lead to more praise and success. Thus, leading to a vicious cycle.
- Feeling of being a phony: Giving people the answer you think that want to hear. This often leads to feeling like a fake.
- Use of Charm: You feel like you are only reacting to social cues to gain approval. You feel like when you are praised it is because you used your charm to get it, not because of your abilities.
- Avoiding Display of Confidence: You may feel as though if you believe in your own abilities or intelligence, others will reject or disagree with you. To avoid this, you may convince yourself that you are not intelligent or that you do not deserve the success you have obtained.
Like challenging ANTs, challenging impostor syndrome involves reframing your thoughts and feelings.
Ways To Reframe
- Most importantly, accept you had some role in your own success
- Keep a pride file. Keep things that demonstrate that you did well.
- Stop social media comparisons. No one posts about the average, everyday parts of their lives. They only write about the things that are really good or really bad.
- Realize that nobody knows what they are doing all of the time
- Try to help someone else. Similar to a “runner’s high”, helping other people releases dopamine in the brain resulting in a kind of “helper’s high”. You can also retrain your brain by helping people.
 Make a point, once a week, to identify at least three good things that happened during that week. Practice expressing gratitude for what you have. Write down both positive and negative experiences that you have. This way you can get the negative things out of your head and it will force you to think about the positive things as well. Turn negative thoughts into goals (using “yet”).


Deuteronomy 33:15
And for the chief things of the ancient mountains, and for the precious things of the lasting hills,


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