Deontay Wilder Vs. Luis Ortiz 2: Date, Time, TV And Live Stream Info
by Brian MaziqueWBC Heavyweight champion Deontay Wilder will face Luis Ortiz in a highly anticipated rematch on Saturday night at the Barclays Center. Their first fight was a classic, and thus the rematch is compelling. However, there is also another huge fight that likely hangs in the balance.
Here’s how you can watch Wilder-Ortiz 2.
- Date: Saturday, November 23
- Time: 9 pm ET
- TV: FOX PPV
- Live Stream: FOX PPV Thru Fox App
The Draw
Wilder is one of the most dynamic and fan-friendly fighters in the world. Even though his style sometimes lacks polish, you cannot argue with his results. He has floored every opponent he’s faced in 45 professional fights, and no one has ever officially beaten him (44-0-1, 43 KOs).
There is no fighter in the world whose presence makes a more sincere promise of action. That said, Ortiz is a legitimate threat to dethrone Wilder, which was evidenced by his near stoppage win in the seventh round of their first fight. That first meeting was one of the best fights of 2018. Fans can only hope they are treated to another war.
Most will be watching to see if Ortiz can recreate the magic and finish the job, or perhaps Wilder will make even quicker work of the aging Cuban than he did in 2018 when he rallied to score a 10th-round KO win.
A major rematch with Tyson Fury hangs is likely on the line for Wilder, so there is plenty of reason for fans to be interested in the result.
The Undercard
If you can appreciate boxing below the heavyweight division, you’ll love the Wilder-Ortiz 2 undercard. One other world title and two secondary titles will be on the line. Here is a look at the top portion of the undercard.
- (c) Leo Santa Cruz vs. Miguel Flores - WBA Super World Super Featherweight Title
- Brandon Figueroa vs. Julio Ceja - WBA (regular) Super Bantamweight Title
- Luis Nery vs. Emmanuel Rodriguez - WBC Silver Bantamweight Title
The premier undercard match is Santa Cruz vs. Flores. A win could launch Santa Cruz into a long-awaited showdown with Gary Russell Jr. or a host of other potentially epic matchups. PBC and FOX would love for Figueroa to grow into a major star, and Nery has been considered elite for the past few years.
However, with Naoya Inoue signing with Top Rank and ESPN, the chances of Nery climbing in with a potential game-changing rival has seemingly dwindled.
Still, it should be great to see one of the best punchers in the lower weight classes take on an undefeated foe like Rodriguez.


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|
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| Interface Summary | |
|---|---|
| ParserProfile |
| Class Summary | |
|---|---|
| Checker | A checker validates RDF terms. |
| ContentNeg | |
| IRIResolver | Package up IRI reolver functionality. |
| JenaReaderNTriples2 | Jena reader for RIOT N-Triples |
| JenaReaderRIOT | Abstract class that sorts out input streams, readers and base URIs, to call a single worker function with model, UTF8 reader and visited base |
| JenaReaderTurtle2 | Jena reader for RIOT Turtle |
| JenaWriterBase | |
| JenaWriterNTriples2 | |
| MapWithScope<A,B,S> | Maps A's to B's, based on a scope S |
| ParserProfileBase | Basic profile of things, with key operations based on a simple use of the parse elements into Nodes (e.g. |
| ParserProfileChecker | |
| PrefixMap | Lightweight, prefix mapping for parsers. |
| PrefixMap2 | Extend a PrefixMap - never alters the partent PrefixMap |
| Prologue | |
| RiotChars | |
| RiotLib | Misc RIOT code |
| SinkExtendTriplesToQuads | Take a stream of triples and send down a Sink<Quad>
The quad will have Quad.tripleInQuad in the G field. |
| SyntaxLabels | Factory for default policies for syntax labels to and from nodes |
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MR. HOLLAND'S OPUS Mr. Holland's Opus Aces The Final Exam A film review by John Paul Powell Copyright 1996 John Paul Powell
Published In The Outreach Connection Newspaper (Jan. 24, 1996)
Starring: Richard Dreyfuss, Glenne Headly, Jay Thomas, Olympia Dukakis and W.H. Macy. Written by: Patrick Sheane Duncan. Directed by: Stephen Herek. Produced by: Scott Kroopf and Patrick Seane Duncan. A Buena Vista Pictures Distribution release.
This review is dedicated to those whose love, guidance and support shaped and enriched my life. I am a better person for knowing you.
Mrs. Shirley Powell: You shared your love of literature and film, inspiring your grandson to follow in your footsteps.
Mr. Kellman: My high school English teacher. You opened my eyes to the special "gift" I had. The purpose and direction of my life changed forever.
John Lott, Lindy Oughtred and Steve Cogan: Journalism's "Holy Trinity". You altered my view of the world. My peepers thank you.
Chris Farrer/Adrian Bromley: My partners in crime. You are more than friends to me, you're my brothers.
Julie Powell: My wife. If there ever was a choice between you and my "gift", this keyboard would fall silent.
Bodies and minds recharged, we'd file into the ground floor music room, a leisurely stroll from the cafeteria. Chit-chatting, we unpacked our instruments. Hinges popped like fireworks. Metal clanged against metal. Trumpets blared. Tubas bellowed. Flutes cooed. Mr. Ford slung his jacket over a chair and rolled his sleeves up. The symphony of the damned evaporated into thin air. Class was in session.
Music was Mr. Ford's life. When he spoke, you half-expected a string of musical notes to cascade from his lips. He could play any instrument, any instrument at all, just like he'd crawled out of the crib with it tucked under his arm.
He taught in earnest. It was in the intensity of his eyes as he conducted.
I don't remember much from music class, though I pulled decent grades. If I put a trumpet to my lips now, you'd swear a duck got its tail feathers caught in an outboard motor. Am I a failure? Nope. In that ground floor music room I learned the committment to hone a skill and the significance of respecting the "gift" God gave you.
Man, does my chest hurt. It hit me once the theatre lights illuminated the joint. I stood up. A sharp pain seared my ribcage. My family quack diagnosed it as "Gumpcarditis" (E.T.'s Disease). The symptoms are nausea, shortness of breath and the aforementioned chest pains.
Gumpcarditis manifests after prolonged exposure to sappy filmmaking. The kind that plucks at your heart-strings not with nimble fingertips but needle nose pliers. The cure? Plenty of bed rest and Clint Eastwood or John Woo flicks to cleanse the system.
Mr. Holland's Opus pushes the hokey meter. Sugary scenes stand out as deliberate attempts at manipulating our waterworks. I would be in favor of marching the producers to detentionhall. Yeah. Dig it. Scrub those boards. Scrape the gum off those desks. Mop those floors. And if they do a real good job, they'll be treated to lunch in the school cafeteria.
"What kind of people like to go to work at seven-thirty in the morning?" sums up Mr. Holland's feelings towards his new job. A travelling musician, Holland (Richard Dreyfuss) has settled down with his wife Iris (Glenne Headly) and at battle axe's urging, he nabs a teaching gig. Holland formulates a master plan. Teaching in the day will accord him "free time" to compose at night.
A teacher with "free time" on their hands?
The class is a tough crowd. Holland reads exclusively from the text and assigns homework. His students don't retain a thing. Frustrated, he almost calls it quits. Principal Jacobs (Olympia Dukakis) steps in, whispering words of wisdom. Holland drastically modifies his technique and the students excel.
In the meantime, Holland's relationship with his son isn't exactly Ward and Beaver Cleaver. Cole is deaf and Holland, the musician, has a hard time relating to him. Ain't life ironic?
In spite of the incriminating deficiencies, Mr. Holland's Opus makes the grade. Enough superior scenes balance out the defects. Richard Dreyfuss hangs tough as the anchor, stopping this leaky ship from drifting out to sea.
Mr. Holland's Opus is rated T for Touching. Dreyfuss bagging an Oscar nomination x two boxes of Kleenex x Glenne Headly - a nagging case of Gumpcarditis + a gym teacher who plays..chess?!?! - Dreyfuss butchering a John Lennon ditty x sign language for the word "asshole" - MTV video montages = a run on Teacher's College applications.
Outreach Rating: 9 bitter hall monitors / 10
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


What can you do with SimpleCV
Here are some video demos with what you can do with SimpleCV
Here are some video demos with what you can do with SimpleCV
Here are some video tutorials on how to get SimpleCV setup and running
You can find more videos showcased at our youtube channel page.


Hi there. My name is Jonatan Castro and this is not only my work, but my passion.
I design icons and user interfaces.
Mail me.
Hi there. My name is Jonatan Castro and this is not only my work, but my passion.
I design icons and user interfaces.
Mail me.


Zays special pb&J
Ingredients
Wonder Bread
Jelly
Skippy peant butter
Spread peanut butter first
Spread Jelly next
put the slices together


A study in 2019 found that there are simply fewer banks in majority Black neighborhoods. In areas where the majority of residents were white, there was an average of 41 banks & other financial institutions per 100,000 people. In majority non-white neighborhoods, that number fell to 27 per 100,000. Furthermore, banks in majority Black neighborhoods tended to charge higher fees than those in majority white neighborhoods [<IP_ADDRESS>].
in-context


| Atk: 100 | Def: 100 |
| Happines: 89 |
Farmer rizkynrzmen threw his pitchfork into Dead Crusader but it hit vomitaftertaste
7 hours agoFarmer rizkynrzmen threw his pitchfork into Dead Crusader but it hit vomitaftertaste
7 hours agoFarmer rizkynrzmen threw his pitchfork into Dead Crusader but it hit vomitaftertaste
7 hours agoFarmer rizkynrzmen threw his pitchfork into Dead Crusader but it hit vomitaftertaste
7 hours agoFarmer rizkynrzmen threw his pitchfork into Dead Crusader but it hit vomitaftertaste
7 hours agoFarmer rizkynrzmen threw his pitchfork into Dead Crusader but it hit vomitaftertaste
7 hours agoFarmer rizkynrzmen threw his pitchfork into Dead Crusader but it hit vomitaftertaste
7 hours ago


{% extends "layout.html" %} {% block head %} {{ super() }} {% endblock %} {% block title %}Login{% endblock %} {% block body %}
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Welcome to Penn Virtual Reality
CIS 568-002 at the University of Pennsylvania, School of Engineering and Applied Science, Spring 2017
Course Goals
Students should gain a solid, breadth based understanding of the tools that exist to bridge the gap between virtual reality hardware and computing software. This includes, but is not limited to, Unreal Engine 4, Unity3D, Three.js, and Google’s Daydream.
However, this course is not one in game design, nor pure graphics. The tools and concepts covered will be exclusively those relevant to virtual reality development, and it so happens that certain concepts in graphics and game engines are required to work in VR.
After an intensive, 12 week seminar, students should be able to quickly create projects on at minimum two of the aforementioned platforms, and gain experience in developing an interactive application through a capstone project in teams of 3-5.
Some Notes
- Tuesday classes will be lectures and tutorials. Lectures are recorded and available here
- Thursday classes will be lab sessions: this is your chance to work around others solving the same problems, with supervised help
- Assignments go out on Tuesdays, and are due on Tuesdays. Late assignments will be accepted until the Thursday class after which they were due for 75% credit, unless otherwise cleared.
- This is a first run. The course structure will be fluid; if something doesn’t work, or is not doable in the given time, we will adapt. Do not think rules are set in stone.
Course Outline
- Course Intro and Graphics Fundamentals (2 weeks)
- Three.js (3 weeks)
- Unreal Engine (4 weeks)
- Capstone Project (3 weeks)
- Demos / Production / Retrospectives (1 week)
The Syllabus can be found: here.
Schedule


3 Things You Are Not Doing to Sell Messenger Bots
What are the most convincing arguments
1. Do as much research as you can on your potential client.

It’s not one size fits all.
[...]
2. Talk less and listen more, much more.
Messengers bots are no doubt the next big thing when it comes to marketing, but having a one way conversation about how great they are, what they can do and you will quickly get a glazed look from your potential client.
Your clients don’t care about the statistics, they couldn’t be more un-interested in it being the next big thing; all they want to know is what it can do for them. How can this messenger bot thing help their business and services? What’s the benefit to them? How will it make their lives easier, better and most important of all, bring in more money?
[...]


{{^projectId}}
If you have a Project for this installation, specify it below.
{{/projectId}} {{#projectId}}Project has been assigned to this installation.
{{/projectId}} {{^projectId}} {{/projectId}} {{#projectId}}| Name | {{ projectName }} |
|---|---|
| Owner | {{ projectOwner }} |
| Description | {{ projectDescription }} |


AMA
Dev
Home
(current)
Write
Adder
Hello World!
Hello, world!
This is a simple web application created by
AmaDev
group.
Say hello to each Backend:
Hello, Node.js!
Hello, GoLang!
×


font study
instructions
Please pick which font you think is the easiest to read.
To view a graph of the data check out this page. Or alternatively the old SVG graph.
To view the raw data for all submitted data, check out: this link.


AMAZING PEOPLE ARE MAKING AMAZING DESIGNS IN A FUN ENVIRONMENT
When you work with us, you are part of a team of committed collaborators. All aspects of our
software development process,
are integrated, interactive
and agile.
Our approach unifies design, development and product management to create exceptional products.
We start each project by understanding your business goals, the user's needs and the products
requirements
then we help translate them into effective and elegant solutions.
Before we sign a contract or write a line of code, our team will spend the necessary time to understand your
product vision.
The outcome of this scoping session is a proposal or a high-level statement of work.
Based on you requirements, we can provide a complete offering or just the pieces you need.
Our design practice offers a full range of services including brand
strategy,
interaction and visual
design and user experience testing.
Throughout your project, our designers create and implement visual design and workflows, solicit
user
feedback and work with you to make sure what gets built is what is needed.
All engineers are fluent in the latest enterprise, mobile and web development
technologies.
They collaborate with your team to write, and improve code on a daily basis, using proven
practices such
as test-driven development and pair programming.
Planning and development is iterative. Because we are constantly coding and testing, the
products we
build are always ready to go live.
This iterative process allows for changes as business requirements evolve.


Class OVRGL
- java.lang.Object
-
- org.lwjgl.ovr.OVRGL
-
public class OVRGL extends java.lang.Object
Native bindings to libOVR, using the Oculus SDK C API.This class contains OpenGL specific functionality.
-
-
Method Summary
All Methods Static Methods Concrete Methods Modifier and Type Method and Description static int
ovr_CreateMirrorTextureGL(long session, int format, int width, int height, java.nio.ByteBuffer outMirrorTexture)
Creates a Mirror Texture which is auto-refreshed to mirror Rift contents produced by this application.static int
ovr_CreateMirrorTextureGL(long session, int format, int width, int height, PointerBuffer outMirrorTexture)
Alternative version of:CreateMirrorTextureGL
static int
ovr_CreateSwapTextureSetGL(long session, int format, int width, int height, java.nio.ByteBuffer outTextureSet)
Creates a Texture Set suitable for use with OpenGL.static int
ovr_CreateSwapTextureSetGL(long session, int format, int width, int height, PointerBuffer outTextureSet)
Alternative version of:CreateSwapTextureSetGL
-
-
-
Method Detail
-
ovr_CreateSwapTextureSetGL
public static int ovr_CreateSwapTextureSetGL(long session, int format, int width, int height, java.nio.ByteBuffer outTextureSet)
Creates a Texture Set suitable for use with OpenGL.Multiple calls to ovr_CreateSwapTextureSetGL for the same
ovrHmd
are supported, but applications cannot rely on switching betweenovrSwapTextureSets
at runtime without a performance penalty.The
format
provided should be thought of as the format the distortion compositor will use when reading the contents of the texture. To that end, it is highly recommended that the application requests swap-texture-set formats that are in sRGB-space (e.g.GL_SRGB_ALPHA8
) as the distortion compositor does sRGB-correct rendering. Furthermore, the app should then make sure "glEnable(GL_FRAMEBUFFER_SRGB);
" is called before rendering into these textures. Even though it is not recommended, if the application would like to treat the texture as a linear format and do linear-to-gamma conversion in GLSL, then the application can avoid calling "glEnable(GL_FRAMEBUFFER_SRGB);
", but should still pass inGL_SRGB_ALPHA8
(notGL_RGBA
) for theformat
. Failure to do so will cause the distortion compositor to apply incorrect gamma conversions leading to gamma-curve artifacts.- Parameters:
session
- anovrSession
previously returned byCreate
.format
- the texture formatwidth
- the requested texture widthheight
- the requested texture heightoutTextureSet
- the createdOVRSwapTextureSet
, which will be valid only upon a successful return value. This texture set must be eventually destroyed viaDestroySwapTextureSet
before destroying the HMD withDestroy
.- Returns:
- an
ovrResult
indicating success or failure. In the case of failure, useGetLastErrorInfo
to get more information.
-
ovr_CreateSwapTextureSetGL
public static int ovr_CreateSwapTextureSetGL(long session, int format, int width, int height, PointerBuffer outTextureSet)
Alternative version of:CreateSwapTextureSetGL
-
ovr_CreateMirrorTextureGL
public static int ovr_CreateMirrorTextureGL(long session, int format, int width, int height, java.nio.ByteBuffer outMirrorTexture)
Creates a Mirror Texture which is auto-refreshed to mirror Rift contents produced by this application.A second call to ovr_CreateMirrorTextureGL for a given
ovrHmd
before destroying the first one is not supported and will result in an error return.The
format
provided should be thought of as the format the distortion compositor will use when writing into the mirror texture. It is highly recommended that mirror textures are requested asGL_SRGB_ALPHA8
because the distortion compositor does sRGB-correct rendering. If the application requests a non-sRGB format (e.g.GL_RGBA
) as the mirror texture, then the application might have to apply a manual linear-to-gamma conversion when reading from the mirror texture. Failure to do so can result in incorrect gamma conversions leading to gamma-curve artifacts and color banding.- Parameters:
session
- anovrSession
previously returned byCreate
.format
- the texture formatwidth
- the requested texture widthheight
- the requested texture heightoutMirrorTexture
- the createdovrSwapTexture
, which will be valid upon a successful return value. This texture must be eventually destroyed viaDestroyMirrorTexture
before destroying the HMD withDestroy
.- Returns:
- an
ovrResult
indicating success or failure. In the case of failure, useGetLastErrorInfo
to get more information.
-
ovr_CreateMirrorTextureGL
public static int ovr_CreateMirrorTextureGL(long session, int format, int width, int height, PointerBuffer outMirrorTexture)
Alternative version of:CreateMirrorTextureGL
-
-


Stigmata -- That's Gotta Hurt by Curtis Edmonds --<EMAIL_ADDRESS>The year was 1990, the movie was Miller's Crossing, and the man was Gabriel Byrne. Byrne had the plum role of Tom Reagan, Irish gangster, a smart guy in a tough town. Byrne spent the whole movie laconically spitting out hard-bitten Coen Brothers dialogue as if he were born to it. He didn't have the Bogart charm but had all the Bogart flair, with the cynical coolness thrown in. Miller's Crossing didn't break any box office records but has its place on many critic's ten best of the '90's lists. (Personally, I like Miller's Crossing better than Fargo, the Coen Brothers movie that made the AFI 100 list.)
The year was 1993, the movie was True Romance, and the girl was Patricia Arquette. Arquette played Alabama Worley, who hooked up with Christian Slater on a cross-country road trip in search of a better life through drug trafficking. True Romance was the movie that introduced us to a young screenwriter named Quentin Tarantino, and there hasn't been a more attractive performance in any Tarantino movie than Arquette's. True Romance is no Pulp Fiction, of course, but it has lots and lots of things to like.
Hold on to these memories. You'll need them if you go see Stigmata.
Arquette plays Frankie Paige, a Pittsburgh hairdresser working in the Dennis Rodman Memorial Beauty Salon, offering a wide range of services from hairstyles and manicures to tattoos and piercings. Frankie is a twenty-three year old party girl (Arquette is actually 31) hanging out in the best dance clubs and coffee houses. She lives in the type of fabulously decorated Art Deco loft apartment you only see in the movies.
Arquette's mother (who we must assume is paying for all this) travels to Brazil and sends her the rosary of a dead priest. That evening, Arquette is lounging in one of those bathtubs you only see in the movies, surrounded by votive candles. Suddenly a dove flies through the apartment, all portentous and symbolic. And then, to the tune of the Smashing Pumpkins and with full music video accompaniment, big, bloody holes appear in Arquette's wrists. The shots of Arquette writhing in pain are accompanied by close-ups of nails being driven into the wrists of a crucified man to make sure we get the point: Arquette is being afflicted by the stigmata, the representation of the Five Wounds of Christ on the cross. (I count seven, but who am I to argue?)
There are four such scenes in the movie, with Arquette getting wounds on her hands, head, feet, and back in slow motion. (She's wearing platform shoes in the scene where here feet are pierced, which makes for a particularly silly vision.) After the second such attack, Gabriel Byrne shows up to investigate. Byrne's character, a priest / organic chemist, is the Vatican's answer to the Men in Black. Or, if you like, he's the keeper of the Catholic version of the X-Files. His role is to investigate paranormal happenings and either disprove them scientifically or hide the evidence. (One imagines him traveling to New Mexico and surreptitiously scarfing down tortillas with Christ's image on them.)
Anyway, Byrne reads about Arquette's stigmata through the Vatican's press clipping service (one wonders if they get Weekly World News). He investigates briefly, initially dismissing the idea that the irreligious Arquette could have stigmata. However, after seeing the spirit of the dead Brazilian priest possess Arquette in a rain-slicked alley, he becomes a believer. Things get even sillier from here, as the plot begins to turn around a long-lost Gospel that has severe implications to... er... the value of the Vatican's real estate holdings. And it gets even sillier when the plot threatens a romance between Byrne and Arquette.
The problem with Stigmata is that it doesn't have any sense of humor to balance out the sheer overwhelming preposterousness of the story. There's a scene, late in the movie, where Arquette is possessed by a demon, and it's almost exactly like a similar scene in Ghostbusters. One almost expects Arquette to whisper huskily to Byrne, "Do you want this body, sub-creature!" But there's no levity to leaven the movie, no sense by the actors that this is all just a colossal joke.
Stigmata is not a bad movie, in the sense of having bad acting or production values or a lifeless, boring script. But it's not good, either.  It has a little, tiny bit of guilty-pleasure entertainment value, but it's not worth passing by either Miller's Crossing or True Romance on your video-rental shelves.
-- Curtis Edmonds<EMAIL_ADDRESS>Movie Reviews: http://www.hsbr.org/buzz/reviewer/reviews/bdreviews.html
"The question we need to ask: Is our children learning?" -- Governor George W. Bush
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


spikedev.wheel¶
A module for classes related to wheels and rims
Example¶
A scenario where a Wheel
class would be used is when the user needs their
robot to drive for a specific distance. That calculation requires the circumference
of the wheel of the robot.
from spikedev.wheel import SpikeWheel
tire = SpikeWheel()
# calculate the number of rotations needed to travel forward 500mm
rotations_for_500mm = 500 / tire.circumference_mm
Classes¶
-
class
spikedev.wheel.
Wheel
(diameter_mm, width_mm)¶ Bases:
object
A base class for various types of wheels, tires, etc. All units are in mm.
- Parameters
diameter_mm (int) – the wheel’s diameter in millimeters
width_mm (int) – the wheel’s width in millimeters
-
class
spikedev.wheel.
SpikeWheel
¶ Bases:
spikedev.wheel.Wheel
56mm
-
class
spikedev.wheel.
SpikeLargeWheel
¶ Bases:
spikedev.wheel.Wheel
88mm


--- layout: default ---
> Quote of the Day (since 2015)
: During my internship in Mumbai in 2015, I started a daily email that shares excerpts from an article that I've read. What began as a fun office interaction evolved into one of my daily joys that allows me to explore diverse subjects.
> Plausibly Exogenous (since 2020)
: I run a newsletter called plausibly exogenous where I send out a daily email containing a source of plausibly exogenous variation used in the economics literature. You can view the cumulative list here.
> Chicago Booth Standing Committee on PhD Climate
In winter 2019, Chicago Booth created a Standing Committee on PhD Climate in the hopes of taking proactive steps to improve the environment within the community. I served as one of the four student members of the inaugural committee and worked with NORC to create a survey designed to assess and evaluate the general climate in the PhD program.
> UChicago Economics Political Economy Club (PEC)
: I worked as one of the organizers for the Political Economy Club (PEC), an organization run for and by graduate students in the Department of Economics.
: During my undergrad years at Penn, I co-founded the Korea-Penn Engineers & Scientists Association to expand the Korean engineering/sciences community to encompass undergraduate / graduate students, researchers, faculty, and alumni
> Select Performances & Recordings
> Penn College House Undergraduate Music Fellow
: Together with a violinist, I organized a concert in which we explored the interplay of cinema and music.
> Campus Representative for The Philadelphia Orchestra
: I promoted eZseatU (membership program for college students) and the orchestra to students at Penn, representing at orientation events and aiding with media campaigns.
: In 2014, I created an Instagram account for squirrels at University of Pennsylvania: @upennsquirrels. I still manage it to this day.
> Effect of Arsene Wenger’s Tenure on Arsenal Football Club’s Brand Image
For Wharton's Marketing 101 final project., I wrote about the role of Arsene Wenger and his legacy for Arsenal.


Welcome! Here's how to get started with Scarab:
1) Select a file to debug from the top menu (EXAMPLE: /calc.js).
2) Load the corresponding HTML page for the file (EXAMPLE: http://localhost:8500/calc.html). You should see "mobile device connected" appear in the output panel at the bottom.
3) You can now control execution with the blue buttons in the sidebar.
4) Add or remove breakpoints by specifying filename and line number at which to break. If you don't want any breakpoints, write an empty array ("[]", without quotes).
5) You can use the console area to request simple inputs (EXAMPLE: input a in the console area and press the "Run" button when debugging calc.js. Assuming line 23 has executed and you have provided a value for "a" on the html page, the result will be the value of a).
6) For a visual example of Scarab in action, check out our video tutorial here: http://tinyurl.com/scarabDemo.
Add new code to be debugged here.


Then-Trump campaign manager Paul Manafort denies on "Meet The Press" knowing anything about the change in the Republican platform regarding support for Ukraine. That afternoon, Boris Epshteyn, Trump's Russian-born adviser, states the Kremlin's party line telling CNN: "Russia did not seize Crimea. We can talk about the conflict that happened between Ukraine and the Crimea . . . But there was no seizure by Russia. That's an incorrect statement, characterization, of what happened."
Source: NBC News


|
XLMulator: Excel XLM Macro Emulator
|
Subtraction operator on the stack. More...
Public Member Functions | |
| def | __init__ (self) |
| Constructor. More... | |
| def | full_str (self) |
| A human readable version of this stack item. More... | |
| Public Member Functions inherited from XLM.stack_item.stack_item | |
| def | eval (self, sheet) |
| Evaluate the current value of the object. More... | |
| def | full_str (self) |
| A human readable version of this stack item. More... | |
| def | __repr__ (self) |
| String representation. More... | |
| def | is_function (self) |
| Test the current stack item to see if it is a function that operates on other items pushed on the stack. More... | |
| def | get_num_args (self) |
| If this stack item is a function, get the number of arguments the function takes. More... | |
| def | is_infix_function (self) |
| Tests this stack item to see if it should be represented as an infix function in a human readable string. More... | |
Public Attributes | |
| num_args | |
| is_infix_func | |
| name | |
Subtraction operator on the stack.
Definition at line 378 of file stack_item.py.
| def XLM.stack_item.stack_sub.__init__ | ( | self | ) |
Constructor.
Definition at line 385 of file stack_item.py.
| def XLM.stack_item.stack_sub.full_str | ( | self | ) |
A human readable version of this stack item.
Definition at line 395 of file stack_item.py.
| XLM.stack_item.stack_sub.is_infix_func |
Definition at line 387 of file stack_item.py.
| XLM.stack_item.stack_sub.name |
Definition at line 388 of file stack_item.py.
| XLM.stack_item.stack_sub.num_args |
Definition at line 386 of file stack_item.py.


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Installation¶
There are several installation options that are detailed below. In general this package only depends on the three.js visualization library. It has been tested down to version 0.105.0 but most versions with this major version number should work.
As a library under a global variable¶
When using this method, you must ensure that the three.js library is available
as a global variable under the name THREE
. In the simplest form this
can be achieved by including the minified library code from a CDN by including
it in your html. For example to include the version 0.118.0 from CDNJS, include
the following script tag:
<script src="https://cdnjs.cloudflare.com/ajax/libs/three.js/r118/three.min.js" integrity="sha512-ZoEQdcOJ16M20VnLaQxmZlthvLdTbF9CSAAyvZyzru+Em8NEY+7Xy0jdWdUjdOlo7hbPVmaobVBpUF9aqmXENA==" crossorigin="anonymous"></script>
After this script (order is important, also see the defer attribute for script
elements), you will want to include the minified library for materia
.
You can get the newest version from the GitHub repository
or install and use a specific version from npm. Then place the minified
file (materia.min.js
) in your server and include it as a script element:
<script src="/path/in/your/server/materia.min.js"></script>
All functionality will then be available under the
materia
variable, e.g.
let structureViewer = new materia.StructureViewer();
As a module¶
The library is distributed as an npm package and can be installed with:
npm install @lauri-codes/materia
This command will also install the three.js library as a dependency. With this package you have direct access to individual modules that can also be tree-shaked in your own build. For example:
import { StructureViewer } from "@lauri-codes/materia"


{% load static %}
Great places to focus on what matters...
Copyright © 2019 BlueWorkS All rights reserved. By Kimia technologies


{% extends "base.html" %} {% block content %} Welcome to Form Customizer Creating a form for your website has never been so easy Create a customized form here All Saved Forms ID FormName {% for forms in SavedForms%} {{forms.id}} {{forms.form_name}} {% endfor %} {% endblock %}
Create a customized form here


{% extends "base.html" %}
{% block content %}
Press, a markdown editor that syncs with git
WYSIWYG
Style and format text with a beautiful live preview.
Own your notes
Press saves your notes as .md files and syncs them with your git account.
Open source
github.com/saket/press
{% endblock content %}


Hey, I'm Raluca.
I am a photographer, web developer and graphic designer.
I am passionate about creating
and maintaining
flawless and modern user interfaces while implementing the latest technologies
and best design practices.
I am fluent in JavaScript, Node.js, Express, MongoDB, MySQL,
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to
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also particularly enjoy going out with my friends, meeting new people and dancing.
Cheers & thanks for stopping by!
Mobile: +32 470 47 18 30
Email


| process id [ ( [ paramDeclaration {,paramDeclaration } ] )] | ||||||||
| statementsAndDeclarations | ||||||||
| end id |
process greetings ( word : string )
loop
put word
end loop
end greetings
fork greetings ( "Hi" )
fork greetings ( "Ho" )
A process declaration can appear wherever a module declaration is allowed except that a process declaration is not allowed in a class. The declarations and statements in a process declaration are the same as those in a procedure.
See paramDeclaration for details about parameters. There is an anomaly in parameters to processes, that can lead to errors. In particular, non-var parameters that are non-scalars (such as strings and arrays) are passed by reference. The result is that the target of the reference may change value while the process is executing, which in turn means that the seemingly constant parameter is not really constant. For example, if the string variable s were passed to the greetings process and subsequently changed, the value of greetings' formal parameter would change.
The syntax of a processDeclaration presented above has been simplified by leaving out the optional stack size (compileTimeExpn), import list, pre condition, init clause, post condition and exception handler.
The full syntax is:
See pervasive for information on pervasive processes. The optional compileTimeExpn following the parameter list (if any) is used to specify the number of bytes for the process' stack.
process [ pervasive ] id
[ ( [ paramDeclaration {,paramDeclaration } ] )]
[ : compileTimeExpn ]
[ pre trueFalseExpn ]
[ init id := expn {, id := expn } ]
[ post trueFalseExpn ]
[ exceptionHandler ]
statementsAndDeclarations
end id


Environmental and Earth Science
Thrust Area
International Institute of Theoretical and Applied Physics
Environmental and Earth Science
Thrust Area Projects
Interfacing Mesoscale Climate Models with Impacts Assessment
A Workshop
Coupling Mesoscale Climate Simulation
and
Atmospheric mesoscale models are useful tools for studying and
forecasting the behavior of the atmosphere over several days. In recent
years, scientists have begun applying these models to regional climate
(continental scale or smaller) in simulations lasting several weeks to
several months. These models can simulate climate for a region at
resolutions higher than global models are likely to attain routinely in the
foreseeable future. This feature makes them desirable tools for providing
output on regional climate variability that can be used for climate impact
assessment, because natural and human impacts of climate change are
typically felt on the regional scales. Mesoscale models are thus
complementary tools to global climate models.
There are several challenges, however, posed by using mesoscale
model output to assess regional climate-change impacts. Satisfying all of
these challenges will require increased communication between mesoscale
climate-modelers and impacts assessors. We categorize this communication
into three modes of interaction. Rapid improvement of regional
climate-change assessments will require concurrent activity in all three
modes.
In Mode One, the physical climate simulated by a mesoscale model
provides input into impact assessment models such as agricultural,
water-resources or human-health models. This is the most direct and
immediate use of mesoscale climate simulation. Numerous examples exist of
Mode One assessments using global models, which can guide mesoscale-model
applications. However, a number of issues still need to be resolved, which
can be summarized in part by a series of questions:
- What mesoscale model output must be archived for impacts assessment?
- How frequently should the model simulation be sampled?
- What cumulative output must be archived?
- What are the error estimates for the model output?
- How much do these errors contaminate the impact assessments?
- Are there assessments that can not be done at the current
state-of-the-science modeling?
- Should known biases in model output be adjusted, even though this
may upset the physical consistency of the output?
These issues involve challenges to both the modelers and the impact
assessors. Modelers will likely have to expand the list of output they
routinely archive, which increases data storage requirements and
potentially slows model integration through increased I/O. Modelers may
also have to build additional diagnostic codes into their models. Impact
assessors will need to determine how sensitive their assessment codes are
to errors in the input data derived from climate models.
In Mode Two , mesoscale modelers add new computations to their
model that are not fundamental to its simulation of climate, but desirable
for impact assessment. Mode Two is a continuation of an ongoing trend
wherein climate models have progressively internalized more and more
earth-system processes. Recent examples include simplified representations
of soil and ecosystem dynamics. These processes may be used in Mode One in
external, post-processing modules driven by mesoscale-model output, whereas
in the second mode, they are coupled directly into the simulation.
Important questions for Mode Two include
- What are the next candidates for internalization?
- Are there specific input needs for a process module that are best
satisfied by direct coupling?
- What new, potentially significant feedbacks are introduced?
- What are the impediments to direct coupling of a process?
- What is the computational burden of internalizing a process? Does
internalizing allow one to obtain an impact assessment more
efficiently?
- What other costs and advantages are there to direct coupling?
This mode requires articulation by impacts assessors of what
impact-assessment models are capable of coupling directly into a mesoscale
model. It also requires modelers to articulate their simulation
capabilities, such as what fields are routinely computed within the model
even if not saved in output archives.
In Mode Three, impact assessors upgrade their models in response to
new types of driving data from mesoscale models that are not regularly
available from observations. For example, many agricultural models use
degree-days or daily minimum and maximum temperatures as input, partly
because that information is recorded and archived. However, plant
development involves temperature-sensitive processes during both day and
night. Routine observations of temperature fluctuations during the diurnal
cycle are not often available at mesoscale resolution, but a model can
provide them almost on a minute-by-minute scale. Relevant questions for
Mode Three include
- What is the potential for improving impacts assessment models (when
given more comprehensive information about the physical environment)?
- Are there clear research paths for producing timely improvements?
- What is gained?
- What additional demands do such improvements make on mesoscale models
and model archives?
Mode Three can be viewed in part as a step that must be taken for a
process before internalizing it in a model. However, it also poses a
challenge to impact assessors that routine observations do not. It
requires them to determine more carefully the sensitivity of their target
processes to temporal fluctuations and whether or not their modeling could
be improved with input data of much higher frequency or of a different type
than routinely observed.
Return to the Environmental and Earth Science Thrust Area
Home Page
Go to the IITAP home page


UPLOAD NEW MEDIA FILE
Upload a single file or
Upload multiple files
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you upload with the buttons on this screen. See the upload pages for permitted file types.
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from functools import wraps, partial
from typing import Iterable, Union, Callable, Hashable, Any
from py2store.trans import store_decorator
########################################################################################################################
# Read caching
# The following is a "Cache-Aside" read-cache with NO builtin cache update or refresh mechanism.
def mk_memoizer(cache):
def memoize(method):
@wraps(method)
def memoizer(self, k):
if k not in cache:
val = method(self, k)
cache[k] = val # cache it
return val
else:
return cache[k]
return memoizer
return memoize
def _mk_cache_instance(cache=None, assert_attrs=()):
"""Make a cache store (if it's not already) from a type or a callable, or just return dict.
Also assert the presence of given attributes
>>> _mk_cache_instance(dict(a=1, b=2))
{'a': 1, 'b': 2}
>>> _mk_cache_instance(None)
{}
>>> _mk_cache_instance(dict)
{}
>>> _mk_cache_instance(list, ('__getitem__', '__setitem__'))
[]
>>> _mk_cache_instance(tuple, ('__getitem__', '__setitem__'))
Traceback (most recent call last):
...
AssertionError: cache should have the __setitem__ method, but does not: ()
"""
if isinstance(assert_attrs, str):
assert_attrs = (assert_attrs,)
if cache is None:
cache = {} # use a dict (memory caching) by default
elif (isinstance(cache, type) # if caching_store is a type...
or (not hasattr(cache, '__getitem__') # ... or is a callable without a __getitem__
and callable(cache))):
cache = cache() # ... assume it's a no-argument callable that makes the instance
for method in assert_attrs or ():
assert hasattr(cache, method), f"cache should have the {method} method, but does not: {cache}"
return cache
# TODO: Make it so that the resulting store gets arguments to construct it's own cache
# right now, only cache instances or no-argument cache types can be used.
#
[docs]@store_decorator
def mk_cached_store(
store=None,
*,
cache=dict
):
"""
Args:
store: The class of the store you want to cache
cache: The store you want to use to cache. Anything with a __setitem__(k, v) and a __getitem__(k).
By default, it will use a dict
Returns: A subclass of the input store, but with caching (to the cache store)
>>> from py2store.caching import mk_cached_store
>>> import time
>>> class SlowDict(dict):
... sleep_s = 0.2
... def __getitem__(self, k):
... time.sleep(self.sleep_s)
... return super().__getitem__(k)
...
...
>>> d = SlowDict({'a': 1, 'b': 2, 'c': 3})
>>>
>>> d['a'] # Wow! Takes a long time to get 'a'
1
>>> cache = dict()
>>> CachedSlowDict = mk_cached_store(store=SlowDict, cache=cache)
>>>
>>> s = CachedSlowDict({'a': 1, 'b': 2, 'c': 3})
>>> print(f"store: {list(s)}\\ncache: {list(cache)}")
store: ['a', 'b', 'c']
cache: []
>>> # This will take a LONG time because it's the first time we ask for 'a'
>>> v = s['a']
>>> print(f"store: {list(s)}\\ncache: {list(cache)}")
store: ['a', 'b', 'c']
cache: ['a']
>>> # This will take very little time because we have 'a' in the cache
>>> v = s['a']
>>> print(f"store: {list(s)}\\ncache: {list(cache)}")
store: ['a', 'b', 'c']
cache: ['a']
>>> # But we don't have 'b'
>>> v = s['b']
>>> print(f"store: {list(s)}\\ncache: {list(cache)}")
store: ['a', 'b', 'c']
cache: ['a', 'b']
>>> # But now we have 'b'
>>> v = s['b']
>>> print(f"store: {list(s)}\\ncache: {list(cache)}")
store: ['a', 'b', 'c']
cache: ['a', 'b']
>>> s['d'] = 4 # and we can do things normally (like put stuff in the store)
>>> print(f"store: {list(s)}\\ncache: {list(cache)}")
store: ['a', 'b', 'c', 'd']
cache: ['a', 'b']
>>> s['d'] # if we ask for it again though, it will take time (the first time)
4
>>> print(f"store: {list(s)}\\ncache: {list(cache)}")
store: ['a', 'b', 'c', 'd']
cache: ['a', 'b', 'd']
>>> # Of course, we could write 'd' in the cache as well, to get it quicker,
>>> # but that's another story: The story of write caches!
>>>
>>> # And by the way, your "cache wrapped" store hold a pointer to the cache it's using,
>>> # so you can take a peep there if needed:
>>> s._cache
{'a': 1, 'b': 2, 'd': 4}
"""
cache = _mk_cache_instance(cache, assert_attrs=('__getitem__', '__setitem__'))
assert isinstance(store, type), f"store should be a type, was a {type(store)}: {store}"
class CachedStore(store):
_cache = cache
@mk_memoizer(cache)
def __getitem__(self, k):
return super().__getitem__(k)
return CachedStore
[docs]@store_decorator
def mk_sourced_store(
store=None,
*,
source=None,
return_source_data=True
):
"""
Args:
store: The class of the store you want to cache
cache: The store you want to use to cache. Anything with a __setitem__(k, v) and a __getitem__(k).
By default, it will use a dict
return_source_data:
Returns: A subclass of the input store, but with caching (to the cache store)
:param store: The class of the store you're talking to. This store acts as the cache
:param source: The store that is used to populate the store (cache) when a key is missing there.
:param return_source_data:
If True, will return ``source[k]`` as is. This should be used only if ``store[k]`` would return the same.
If False, will first write to cache (``store[k] = source[k]``) then return ``store[k]``.
The latter introduces a performance hit (we write and then read again from the cache),
but ensures consistency (and is useful if the writing or the reading to/from store
transforms the data in some way.
:return: A decorated store
Here are two stores pretending to be local and remote data stores respectively.
>>> from py2store.caching import mk_sourced_store
>>>
>>> class Local(dict):
... def __getitem__(self, k):
... print(f"looking for {k} in Local")
... return super().__getitem__(k)
>>>
>>> class Remote(dict):
... def __getitem__(self, k):
... print(f"looking for {k} in Remote")
... return super().__getitem__(k)
Let's make a remote store with two elements in it, and a local store class that asks the remote store for stuff
if it can't find it locally.
>>> remote = Remote({'foo': 'bar', 'hello': 'world'})
>>> SourcedLocal = mk_sourced_store(Local, source=remote)
>>> s = SourcedLocal({'some': 'local stuff'})
>>> list(s) # the local store has one key
['some']
# but if we ask for a key that is in the remote store, it provides it
>>> assert s['foo'] == 'bar'
looking for foo in Local
looking for foo in Remote
>>> list(s)
['some', 'foo']
See that next time we ask for the 'foo' key, the local store provides it:
>>> assert s['foo'] == 'bar'
looking for foo in Local
>>> assert s['hello'] == 'world'
looking for hello in Local
looking for hello in Remote
>>> list(s)
['some', 'foo', 'hello']
We can still add stuff (locally)...
>>> s['something'] = 'else'
>>> list(s)
['some', 'foo', 'hello', 'something']
"""
assert source is not None, "You need to specify a source"
source = _mk_cache_instance(source, assert_attrs=('__getitem__',))
assert isinstance(store, type), f"store should be a type, was a {type(store)}: {store}"
if return_source_data:
class SourcedStore(store):
_src = source
def __missing__(self, k):
# if you didn't have it "locally", ask src for it
v = self._src[k] # ... get it from _src,
self[k] = v # ... store it in self
return v # ... and return it.
else:
class SourcedStore(store):
_src = source
def __missing__(self, k):
# if you didn't have it "locally", ask src for it
v = self._src[k] # ... get it from _src,
self[k] = v # ... store it in self
return self[k] # retrieve it again and return
return SourcedStore
# cache = _mk_cache_instance(cache, assert_attrs=('__getitem__',))
# assert isinstance(store, type), f"store should be a type, was a {type(store)}: {store}"
#
# class CachedStore(store):
# _cache = cache
#
# @mk_memoizer(cache)
# def __getitem__(self, k):
# return super().__getitem__(k)
#
# return CachedStore
# TODO: Didn't finish this. Finish, doctest, and remove underscore
def _pre_condition_containment(store=None, *, bool_key_func):
"""Adds a custom boolean key function `bool_key_func` before the store_cls.__contains__ check is performed.
It is meant to be used to create smart read caches.
This can be used, for example, to perform TTL caching by having `bool_key_func` check on how long
ago a cache item has been created, and returning False if the item is past it's expiry time.
"""
class PreContaimentStore(store):
def __contains__(self, k):
return bool_key_func(k) and super().__contains__(k)
return PreContaimentStore
def _slow_but_somewhat_general_hash(*args, **kwargs):
"""
Attempts to create a hash of the inputs, recursively resolving the most common hurdles (dicts, sets, lists)
Returns: A hash value for the input
>>> _slow_but_somewhat_general_hash(1, [1, 2], a_set={1,2}, a_dict={'a': 1, 'b': [1,2]})
((1, (1, 2)), (('a_set', (1, 2)), ('a_dict', (('a', 1), ('b', (1, 2))))))
"""
if len(kwargs) == 0 and len(args) == 1:
single_val = args[0]
if hasattr(single_val, "items"):
return tuple(
(k, _slow_but_somewhat_general_hash(v))
for k, v in single_val.items()
)
elif isinstance(single_val, (set, list)):
return tuple(single_val)
else:
return single_val
else:
return (
tuple(_slow_but_somewhat_general_hash(x) for x in args),
tuple(
(k, _slow_but_somewhat_general_hash(v))
for k, v in kwargs.items()
),
)
# TODO: Could add an empty_cache function attribute.
# Wrap the store cache to track new keys, and delete those (and only those!!) when emptying the store.
[docs]def store_cached(store, key_func: Callable):
"""
Function output memorizer but using a specific (usually persisting) store as it's memory and a key_func to
compute the key under which to store the output.
The key can be
- a single value under which the output should be stored, regardless of the input.
- a key function that is called on the inputs to create a hash under which the function's output should be stored.
Args:
store: The key-value store to use for caching. Must support __getitem__ and __setitem__.
key_func: The key function that is called on the input of the function to create the key value.
Note: Union[Callable, Any] is equivalent to just Any, but reveals the two cases of a key more clearly.
Note: No, Union[Callable, Hashable] is not better. For one, general store keys are not restricted to hashable keys.
Note: No, they shouldn't.
See Also: store_cached_with_single_key (for a version where the cache store key doesn't depend on function's args)
>>> # Note: Our doc test will use dict as the store, but to make the functionality useful beyond existing
>>> # RAM-memorizer, you should use actual "persisting" stores that store in local files, or DBs, etc.
>>> store = dict()
>>> @store_cached(store, lambda *args: args)
... def my_data(x, y):
... print("Pretend this is a long computation")
... return x + y
>>> t = my_data(1, 2) # note the print below (because the function is called
Pretend this is a long computation
>>> tt = my_data(1, 2) # note there's no print (because the function is NOT called)
>>> assert t == tt
>>> tt
3
>>> my_data(3, 4) # but different inputs will trigger the actual function again
Pretend this is a long computation
7
>>> my_data._cache
{(1, 2): 3, (3, 4): 7}
"""
assert callable(key_func), (
"key_func should be a callable: "
"It's called on the wrapped function's input to make a key for the caching store."
)
def func_wrapper(func):
@wraps(func)
def wrapped_func(*args, **kwargs):
key = key_func(*args, **kwargs)
if key in store: # if the store has that key...
return store[
key
] # ... just return the data cached under this key
else: # if the store doesn't have it...
output = func(
*args, **kwargs
) # ... call the function and get the output
store[key] = output # store the output under the key
return output
wrapped_func._cache = store
return wrapped_func
return func_wrapper
[docs]def store_cached_with_single_key(store, key):
"""
Function output memorizer but using a specific store and key as it's memory.
Use in situations where you have a argument-less function or bound method that computes some data whose dependencies
are static enough that there's enough advantage to make the data refresh explicit (by deleting the cache entry)
instead of making it implicit (recomputing/refetching the data every time).
The key should be a single value under which the output should be stored, regardless of the input.
Note: The wrapped function comes with a empty_cache attribute, which when called, empties the cache (i.e. removes
the key from the store)
Note: The wrapped function has a hidden `_cache` attribute pointing to the store in case you need to peep into it.
Args:
store: The cache. The key-value store to use for caching. Must support __getitem__ and __setitem__.
key: The store key under which to store the output of the function.
Note: Union[Callable, Any] is equivalent to just Any, but reveals the two cases of a key more clearly.
Note: No, Union[Callable, Hashable] is not better. For one, general store keys are not restricted to hashable keys.
Note: No, they shouldn't.
See Also: store_cached (for a version whose keys are computed from the wrapped function's input.
>>> # Note: Our doc test will use dict as the store, but to make the functionality useful beyond existing
>>> # RAM-memorizer, you should use actual "persisting" stores that store in local files, or DBs, etc.
>>> store = dict()
>>> @store_cached_with_single_key(store, 'whatevs')
... def my_data():
... print("Pretend this is a long computation")
... return [1, 2, 3]
>>> t = my_data() # note the print below (because the function is called
Pretend this is a long computation
>>> tt = my_data() # note there's no print (because the function is NOT called)
>>> assert t == tt
>>> tt
[1, 2, 3]
>>> my_data._cache # peep in the cache
{'whatevs': [1, 2, 3]}
>>> # let's empty the cache
>>> my_data.empty_cache_entry()
>>> assert 'whatevs' not in my_data._cache # see that the cache entry is gone.
>>> t = my_data() # so when you call the function again, it prints again!d
Pretend this is a long computation
"""
def func_wrapper(func):
# TODO: Enforce that the func is argument-less or a bound method here?
# TODO: WhyTF doesn't this work: (unresolved reference)
# if key is None:
# key = '.'.join([func.__module__, func.__qualname___])
@wraps(func)
def wrapped_func(*args, **kwargs):
if key in store: # if the store has that key...
return store[
key
] # ... just return the data cached under this key
else:
output = func(*args, **kwargs)
store[key] = output
return output
wrapped_func._cache = store
wrapped_func.empty_cache_entry = lambda: wrapped_func._cache.__delitem__(
key
)
return wrapped_func
return func_wrapper
def ensure_clear_to_kv_store(store):
if not hasattr(store, "clear"):
def _clear(kv_store):
for k in kv_store:
del kv_store[k]
store.clear = _clear
return store
def flush_on_exit(cls):
new_cls = type(cls.__name__, (cls,), {})
if not hasattr(new_cls, "__enter__"):
def __enter__(self):
return self
new_cls.__enter__ = __enter__
if not hasattr(new_cls, "__exit__"):
def __exit__(self, *args, **kwargs):
return self.flush_cache()
else: # TODO: Untested case where the class already has an __exit__, which we want to call after flush
@wraps(new_cls.__exit__)
def __exit__(self, *args, **kwargs):
self.flush_cache()
return super().__exit__(*args, **kwargs)
new_cls.__exit__ = __exit__
return new_cls
[docs]def mk_write_cached_store(
store,
*,
w_cache=dict,
flush_cache_condition=None
):
"""Wrap a write cache around a store.
Args:
w_cache: The store to (write) cache to
flush_cache_condition: The condition to apply to the cache
to decide whether it's contents should be flushed or not
A ``w_cache`` must have a clear method (that clears the cache's contents).
If you know what you're doing and want to add one to your input kv store,
you can do so by calling ``ensure_clear_to_kv_store(store)``
-- this will add a ``clear`` method inplace AND return the resulting store as well.
We didn't add this automatically because the first thing ``mk_write_cached_store`` will do is call clear,
to remove all the contents of the store.
You don't want to do this unwittingly and delete a bunch of precious data!!
>>> from py2store.caching import mk_write_cached_store, ensure_clear_to_kv_store
>>> from py2store import Store
>>>
>>> def print_state(store):
... print(f"store: {store} ----- store._w_cache: {store._w_cache}")
...
>>> class MyStore(dict): ...
>>> MyCachedStore = mk_write_cached_store(MyStore, w_cache={}) # wrap MyStore with a (dict) write cache
>>> s = MyCachedStore() # make a MyCachedStore instance
>>> print_state(s) # print the contents (both store and cache), see that it's empty
store: {} ----- store._w_cache: {}
>>> s['hello'] = 'world' # write 'world' in 'hello'
>>> print_state(s) # see that it hasn't been written
store: {} ----- store._w_cache: {'hello': 'world'}
>>> s['ding'] = 'dong'
>>> print_state(s)
store: {} ----- store._w_cache: {'hello': 'world', 'ding': 'dong'}
>>> s.flush_cache() # manually flush the cache
>>> print_state(s) # note that store._w_cache is empty, but store has the data now
store: {'hello': 'world', 'ding': 'dong'} ----- store._w_cache: {}
>>>
>>> # But you usually want to use the store as a context manager
>>> MyCachedStore = mk_write_cached_store(
... MyStore, w_cache={},
... flush_cache_condition=None)
>>>
>>> the_persistent_dict = dict()
>>>
>>> s = MyCachedStore(the_persistent_dict)
>>> with s:
... print("===> Before writing data:")
... print_state(s)
... s['hello'] = 'world'
... print("===> Before exiting the with block:")
... print_state(s)
...
===> Before writing data:
store: {} ----- store._w_cache: {}
===> Before exiting the with block:
store: {} ----- store._w_cache: {'hello': 'world'}
>>>
>>> print("===> After exiting the with block:"); print_state(s) # Note that the cache store flushed!
===> After exiting the with block:
store: {'hello': 'world'} ----- store._w_cache: {}
>>>
>>> # Example of auto-flushing when there's at least two elements
>>> class MyStore(dict): ...
...
>>> MyCachedStore = mk_write_cached_store(
... MyStore, w_cache={},
... flush_cache_condition=lambda w_cache: len(w_cache) >= 3)
>>>
>>> s = MyCachedStore()
>>> with s:
... for i in range(7):
... s[i] = i * 10
... print_state(s)
...
store: {} ----- store._w_cache: {0: 0}
store: {} ----- store._w_cache: {0: 0, 1: 10}
store: {0: 0, 1: 10, 2: 20} ----- store._w_cache: {}
store: {0: 0, 1: 10, 2: 20} ----- store._w_cache: {3: 30}
store: {0: 0, 1: 10, 2: 20} ----- store._w_cache: {3: 30, 4: 40}
store: {0: 0, 1: 10, 2: 20, 3: 30, 4: 40, 5: 50} ----- store._w_cache: {}
store: {0: 0, 1: 10, 2: 20, 3: 30, 4: 40, 5: 50} ----- store._w_cache: {6: 60}
>>> # There was still something left in the cache before exiting the with block. But now...
>>> print_state(s)
store: {0: 0, 1: 10, 2: 20, 3: 30, 4: 40, 5: 50, 6: 60} ----- store._w_cache: {}
"""
w_cache = _mk_cache_instance(w_cache, ('clear', '__setitem__', 'items'))
w_cache.clear() # assure the cache is empty, by emptying it.
@flush_on_exit
class WriteCachedStore(store):
_w_cache = w_cache
_flush_cache_condition = staticmethod(flush_cache_condition)
if flush_cache_condition is None:
def __setitem__(self, k, v):
return self._w_cache.__setitem__(k, v)
else:
assert callable(flush_cache_condition), (
"flush_cache_condition must be None or a callable ",
"taking the (write) cache store as an input and returning"
"True if and only if the cache should be flushed.",
)
def __setitem__(self, k, v):
r = self._w_cache.__setitem__(k, v)
if self._flush_cache_condition(self._w_cache):
self.flush_cache()
return r
if not hasattr(store, "flush"):
def flush(self, items: Iterable = tuple()):
for k, v in items:
super().__setitem__(k, v)
def flush_cache(self):
self.flush(self._w_cache.items())
return self._w_cache.clear()
return WriteCachedStore


{{ script|safe }} Return to Query Form Return to BDNYC Blog Browse the Database Feedback/Questions
Hammer projection of the Equatorial and Galactic locations of sources in the BDNYC database. You can hover over individual points to identify sources and can click on them to go their summary page. {{ warning|safe }}


@(group: Team)(members: List[Account])(screenshots: List[Screenshot])(rating: Boolean)(description: Array[String]) @main("Team Description")(css) {


server package¶
Submodules¶
server.main module¶
-
server.main.
is_float
(value)[source]¶ Determines whether or not the provided value is a float or not.
-
server.main.
load_model
(model_file_path, use_cuda)[source]¶ Loads an RNN model from a given file path.
-
server.main.
normalize_temperatures
(temperatures)[source]¶ Normalizes a comma-separated string of temperatures into an array of floats.
-
server.main.
parse_sentence_prediction_request
(request)[source]¶ Parses the sentences prediction http request.
-
server.main.
predict_sentences
(identity, context, temperatures)[source]¶ Predicts a set of sentences given an identity, context and temperatures.
-
server.main.
raise_if_file_not_exists
(file_path)[source]¶ Raises an error if the file does not exist.
-
server.main.
sentences_prediction
(identity, context, temperatures)[source]¶ Consolidates sentence prediction.
-
server.main.
setup
(vocabulary_file_path, homer_model_file_path, sherlock_model_file_path, details_file_path, use_cuda)[source]¶ Setup the models and settings for use within flask.
-
server.main.
valid_identity
(identity)[source]¶ Determines whether or not the provided identity is a valid value.


The screen object contains information about the visitor's screen.
Note: There is no public standard that applies to the screen object, but all major browsers support it.
The width property returns the total width of the user's screen, in pixels.
Tip: Use the height property to get the total height of the user's screen.
The availWidth property returns the width of the user's screen, in pixels, minus interface features like the Windows Taskbar.
Tip: To get the height of the screen (excluding the Windows Taskbar), use the availHeight property.
The height property returns the total height of the user's screen, in pixels.
Tip:Use the width property to get the total width of the user's screen.
The availHeight property returns the height of the user's screen, in pixels, minus interface features like the Windows Taskbar.
Tip: To get the width of the screen (excluding the Windows Taskbar), use the availWidth property.
The colorDepth property returns the bit depth of the color palette for displaying images (in bits per pixel).
Return Value:A Number, representing the bit depth of the color palette for displaying images, in bits per pixel.
Possible values:
1 bit per pixel
4 bits per pixel
8 bits per pixel
15 bits per pixel
16 bits per pixel
24 bits per pixel
32 bits per pixel
48 bits per pixel
NOTE:Colordepth/pixeldepth is the no. of bits used to represent one color/pixelcolor.For most of the modern computer colordepth and pixeldepth are equal.
The pixelDepth property returns the color resolution (in bits per pixel) of the visitor's screen.
Tip: The pixelDepth property is not supported in Internet Explorer 9 and earlier versions. However, the colorDepth property represents the same thing as the pixelDepth property. Since all major browsers support colorDepth, use that property instead
Return Value:A Number, representing the color resolution , in bits per pixel.
Possible values:
1 bit per pixel
4 bits per pixel
8 bits per pixel
15 bits per pixel
16 bits per pixel
24 bits per pixel
32 bits per pixel
48 bits per pixel


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