The amber-hued sun shone brightly as the student ambled through the hallowed halls of academia, taking in the knowledge each step of the way. [G|D]
The agronomist was quite pleased to admit that his knowledge of soil and crop production had increased the amity between himself and the farmers he had worked with. [G|D]
The clammy air of autumn hung heavily over the battlefield, the sound of ammo fire pounding in their ears as the soldiers charged forward. [G|D]
After a spirited, but acrimonious game of backgammon, the two opponents, both autonomous in their own right, took a moment to pause and appreciate the competition. [G|D]


https://gaypunkposer.dev/hackaz-unity-workshop
https://github.com/jcoan188/hackaz-unity-workshop-files
public class Gun : MonoBehaviour
{
void Start()
{
//Runs when the game starts
}
void Update()
{
//Runs every time the game updates (every frame)
}
}
public class Gun : MonoBehaviour
{
//Bullet object to shoot
public GameObject BulletPrefab;
//Where to create the bullet
public Transform BulletSpawnPoint;
//How long should we wait between shots?
public float FireDelay;
//How hard should the bullet be shot?
public float FireForce;
//Keep track of time between bullets
private float _timer;
//...
//...
void Update()
{
//If timer is not zero, subtract until zero
_timer = (_timer > 0) ? _timer - Time.deltaTime : 0;
if (Input.GetButton("Fire1") && _timer > 0)
{
//Reset the timer to give pause between shots
_timer = FireRate;
//Fire the bullet
Fire();
}
}
//...
void Fire()
{
//Where to create the bullet
Vector3 spawnPoint = BulletSpawnPoint.position;
//What direction to send the bullet
Vector3 direction = BulletSpawnPoint.forward;
//The new bullet
GameObject newBullet = Instantiate(BulletPrefab,
spawnPoint, Quaternion.identity) as GameObject;
//...
//...
Rigidbody bulletBody = newBullet.GetComponent<Rigidbody>();
//...
//...
bulletBody.AddForce(direction * FireForce);
}
//Fire() done!


--- layout: default title: Blog ---
The blog posts are listed in reverse date order (most recent first).
{{ post.date | date_to_string }} » {{ post.title }}


View functions
Now we can use the Worker in our view functions.
Setup
By default, the Manager
expects the Flask application to be an object named app
in a file in the root directory called app.py
. (You can change this by setting the Manager's app_import
attribute). For the tutorial, we'll stick with the default. Our folder looks like:
static/
worker_loading.gif
app.py
factory.py
models.py
All of the code in this part of the tutorial goes in the app.py
file.
from factory import create_app, db, socketio
from models import Worker, get_model
app = create_app()
# create database before first app request
@app.before_first_request
def before_first_request():
db.create_all()
# VIEW FUNCTIONS GO HERE
if __name__ == '__main__':
socketio.run(app, debug=True)
Basic use
This is a basic example in which the Worker executes its complex task.
The Worker only sends its complex task to the Redis Queue once, regardless of how many times the client requests this route. Until the Worker finishes its job, it returns a loading page. The result is cached once the Worker finishes its job, so that future calls to this route will not re-run the complex task.
@app.route('/')
@app.route('/index')
def index():
worker = get_model(Worker, 'index')
return worker.result if worker.job_finished else worker()
We are now ready to run our app.
Resetting a Worker
In this example, we reset the Worker after it has finished its job. This means that future calls to this route will re-run the complex task.
@app.route('/reset')
def with_reset():
worker = get_model(Worker, 'reset')
if not worker.job_finished:
return worker()
worker.reset()
db.session.commit()
return worker.result
Callback routes
This example demonstrates how to use a Worker's callback
function. By default, when a Worker finishes its job, it issues another call to the current view function. Set the worker's callback
attribute to the name of another view function to redirect the client after the Worker finishes its job.
@app.route('/callback')
def with_callback():
worker = get_model(Worker, 'callback')
worker.callback = 'callback_route'
if worker.job_finished:
worker.reset()
return worker()
@app.route('/callback_route')
def callback_route():
worker = get_model(Worker, 'callback')
return worker.result if worker.job_finished else worker()


EGEA Alumni get-together 2019
Home
Location
Accommodation
Programme
(current)
Registration
Organisers
Day 1
Afternoon
Arrivals
Evening
Dinner and reception
Day 2
Morning
Breakfast
Midday
Doing stuff
Evening
Party
Day 3
Morning
Breakfast
Midday
Excursion
Evening
Party with BDC
Day 4
Morning
Breakfast
Noon
Departures


Line01 Line02 Line03 Line04 Line05 Line06 Line07 Line08 Line09 Line10 Line11 Line12 Line13 Line14 Line15 Line16 Line17 Line18 Line19 Line20


{{About||the dish|Turtle soup|the Mock Turtles album|Turtle Soup (Mock Turtles album)}} {{Infobox Album |  | Name = Turtle Soup | Type = Album | Artist = The Turtles | Cover = Turtle Soup.jpg | Released = October 1969 | Recorded = 1969 | Genre = Folk rock, psychedelic rock | Length = 66:47 (Including bonus) | Label = White Whale | Producer = Ray Davies | Last album = The Turtles Present the Battle of the Bands
(1968) | This album = Turtle Soup
(1969) | Next album = More Golden Hits
(1970) }}
Turtle Soup is the last original studio album by The Turtles. It was released in 1969 on the White Whale Records label. The album was produced by Ray Davies of The Kinks – the first time he produced another artist's record. A 1993 Repertoire Records CD-issue included 8 bonus tracks. A 1996 Sundazed Records reissue included two bonus tracks.
Turtle Soup peaked at #117 on the Billboard Pop Albums chart. Two singles from the album also earned a place on the Billboard Pop Singles chart: "You Don't Have to Walk in the Rain" (#51), and "Love In The City" (#91).<ref name="Allmusic"/>
{{Album reviews |rev1 = Allmusic |rev1score = {{Rating|3.5|5}} <ref name="Allmusic">{{Allmusic|class=album|id=r20676|label="The Turtles: Turtle Soup" |first=Richie |last=Unterberger |accessdate={{date|2011-09-22}}}}</ref> }}
Contents |
All tracks written by Howard Kaylan, Mark Volman, Al Nichol, Jim Pons and John Seiter, except as indicated.
{{reflist}}
{{The Turtles}}
{{1960s-rock-album-stub}}


FEELING MINNESOTA 1996 A film review by Timothy Voon Copyright 1997 Timothy Voon
Cast: Keanu Reeves, Vince D'Onofrio, Cameron Diaz, Dan Aykroyd, Delroy Lindo, Tuesday Weld, Michael Rispoli, Courtney Love Director: Steven Baigleman Screenplay: Steven Baigleman
I'm trying to think of a saving, good point to make about this movie, but unfortunately I can't. Keanu Reeves choice of movies seems to be getting from bad to worse.
Think of all the bad things in life like petrol station hold ups, murdering family members, blackmail, corrupt police, and dysfunctional relationships - this is the ugly feeling that 'Feeling Minnesota' leaves you with.
The older brother (D'Onofrio) forces a young girl to marry him. The younger brother (Reeves) arrives on the wedding day, sleeps with his newly-wed sister-in-law (Diaz) and runs away with her. She instigates the younger brother to steal from the older brother, who then shoots her in a jealous rage.
Some people will say, well that's life. Sure, but it's also meant to be a movie, and it's not even entertaining.
Comment: This movie only serves to give Minnesota a bad name.
Timothy Voon e-mail<EMAIL_ADDRESS>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


--- layout: post status: publish published: true title: For the Love of the Cubs and Family at Randy Hundley's Fantasy Camp author: display_name: Matt Veto login: Matt email<EMAIL_ADDRESS>url: '' author_login: Matt author_email<EMAIL_ADDRESS>wordpress_id: 9136 wordpress_url: http://ivyenvy.com/?p=9136 date: '2014-03-19 07:00:36 +0000' date_gmt: '2014-03-19 12:00:36 +0000' categories: - The Cubs - Spring Training - Videos tags: - Lee Smith - Fergie Jenkins - Cubs Fantasy Camp - 2014 Cubs Fantasy Camp - Randy Hundley - Randy Hundley's Chicago Cubs Fantasy Camp - Bob Dernier comments: - id: 10404 author: Justan Neels author_email: '' author_url: '' date: '2014-03-19 09:28:46 +0000' date_gmt: '2014-03-19 14:28:46 +0000' content: This was awesome. It was really nice seeing the Veto family ---
Somewhere in a landfill, a mile deep by now, is a five-page manuscript detailing a tale of "The Veto Outfield" — three brothers who were signed to play one game for the Chicago Cubs.
The paper, written by me but no doubt keyed by my mother on our Brother Electronic Typewriter, was the product of a middle school writing assignment for Mrs. Judy Daly’s English class. Somehow I managed to get through the bulk of my education, and the bulk of my professional life, for that matter, writing about sports.
But the piece was sure to be a forgotten work of fiction.
However, thanks to my father, my brothers and I were able to live this dream for one week in Mesa, Ariz., during Randy Hundley’s Chicago Cubs Fantasy Camp. The camp, held the last week of January at the new Cubs spring training facility, brings together dozens of ball-playing wannabees each year.
Some are in shape.
Some are a shape.
All are fairly awkward, especially compared to the men who now occupy the positions after our seven days of make-believe.
Corey invited me to talk about my experience on a recent Ivy Envy podcast. Shortly afterward, I put together a video from the footage I shot and shared it on Facebook. He then suggested my first post as an official Ivy Envy blogger be dedicated to sharing it. I promise to appear less narcissistic in the future.
[vimeo 88028707 w=500 h=281]
But I do hope you enjoy it. The video is less about the camp itself and more about how baseball can permeate a family. That’s something to which most of us can relate.
My dad is 71 (I said 72 on the podcast and he wasted no time correcting that number). Like many of your fathers, mothers, grandparents and beyond, he’s cheered and cried over the Cubs for countless years. And his children inherited the chills and tears that come with the territory. We love the Cubs and we love baseball. So when my uncle Kenny told my dad about the fun he had with his two kids at the camp several years earlier, my dad decided he wanted to sign us up for the once-in-a-lifetime opportunity.
At the camp, we were pampered like pros. Our spikes were polished. Our jerseys were washed by the Wrigley Field clubby. And we kept the Cubs minor league trainers busy in a clubhouse that wreaked of pepperminty Ben Gay.
Then there was the experience of rubbing shoulders, all too literally, with pros such as Fergie Jenkins, Lee Smith and Bob Dernier. One day, Randy Hundley held court in the locker room, telling stories off the top of his head for 45 awesome minutes.
We played 10 games against other campers and were the first people to play a competitive game — against the old pros — at the new Cubs Park.
But to be on the field, in full Cubs uniform, looking left toward my brother Jim in left center, my brother Jason in right center, and my father way down the line in right, ranks easily as the most memorable part of the trip. It’s also one of the greatest moments of my life.
I figure that’s a story worth telling.


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sure that second ouput isnt change back to the wallet?
jl777c15-Aug-18 08:42 AM
is 3BMEXqGpG4FxBA1KWhRFufXfSTRgzfDBhJ the bitmex deposit address?
passcombo.com 🏴☠🏴15-Aug-18 08:47 AM
kobayashi lawyer wakes up again to sell some change BTC
on bitfinex this amount at this time would dump BTC price to 10$ :))
but dont worry market reaction as we know it is not reasonable - goes up anyway(edited)
Andersen15-Aug-18 08:54 AM
3BMEX xxxxxxxxxxxxxxxxxxx all bitmex addresses
CHMEX15-Aug-18 09:00 AM
I guess anybody could generate such an address with vanitygen.
Andersen15-Aug-18 09:01 AM
Sure. But why ?
CHMEX15-Aug-18 09:02 AM
making people talk about it
jl777c15-Aug-18 09:02 AM
the games played by whales is quite sophisticated. every % point they can drop BTC price is another % point of profit
CHMEX15-Aug-18 09:02 AM
and influencing the price to their advantage
jl777c15-Aug-18 09:03 AM
keep in mind OTC BTC trading is 3x the size of the exchange traded, so the "loss" on the exchange side can 3x profits on the OTC side
hodl or dance with sharks
1
GatewayBOT15-Aug-18 09:04 AM
[slack] <modus> any one want to buy instantdex selling for 8kmd each... i have 8.2
Cryptoon15-Aug-18 09:07 AM
All 3BMEX addresses are bitmex adresses
Bitmex isnt directly trading btc though
So if one would marketbuy 100M worth on mex
that wouldnt effect the true btc price would it?
jl777c15-Aug-18 09:10 AM
but at bitmex you can use BTC for long or short trades
its just a small whale setting up some short position so they can dump on the exchanges, buy at discount and recover multiples of their public losses. standard stuff and easy millions tomake
Cryptoon15-Aug-18 09:36 AM
100m usd in btc small whale
I've been hanging out in the wrong circles
CHMEX15-Aug-18 09:40 AM
who said there are no blue fin here
Cryptoon15-Aug-18 09:51 AM
I know there are a couple of big ones here
GatewayBOT15-Aug-18 09:53 AM
[slack] <CrypToon> @ I might be interested in dex
[slack] <CrypToon> How do you want to trade?
GatewayBOT15-Aug-18 10:02 AM
[slack] <modus> @ via addresses ?
[slack] <modus> i really dont mind.. im not fussed
[slack] <modus> i trust u
GatewayBOT15-Aug-18 10:11 AM
[slack] <CrypToon> Ok how much total dex for how much kmd each?
[slack] <modus> i have 8.2 dex will trade for 8kmd each..ill chuck the other 0.24 in
looks like pretty much all pumps, another few cycles to go and then it decides on direction
Hollowman900015-Aug-18 07:56 PM
Where can I find a list of wallet cli commands
Getwalletinfo etc
jl777c15-Aug-18 07:56 PM
komodo-cli help
actionslacks15-Aug-18 08:50 PM
This kind of price action makes me want to get back in. Are the sharkfund bots still alive?
jl777c15-Aug-18 08:51 PM
been too busy with CC contracts
actionslacks15-Aug-18 08:57 PM
crypto conditions... once implemented, should be an eth killer. need to get caught up. been out of the loop. You guys move fast
Cryptoon15-Aug-18 08:59 PM
What are sharkfund bots?
Mshark trading bots?
How does this work?
jl777c15-Aug-18 09:09 PM
#cc-general for the realtime testing/bugfixing
dice got stable today
faucet now has protection against leechers
rewards is able to spend from mempool which defends a spam attack
and assets (counterparty functionality) has no reported bugs, though I expect there are some left
Kitchen Table15-Aug-18 09:30 PM
Anyone else noticing an increase with CPU performance when using Binance? Can't tell if that is how the site is or cryptojacking is going on.
siu - Chainmakers15-Aug-18 09:42 PM
Hollowman900016-Aug-18 12:55 AM
H.. hello? I’m not feeling well. I’ve lost my life savings. My wife is going to leave me. I don’t know how I’m going to continue..
Hotline operator: “In your next life, don’t invest in shitcoins..
Have a nice trip”
4
2
grewalsatinder16-Aug-18 01:39 AM
I have been constantly getting "Forgot Password" emails from cryptonit.net
I don't even remember registering with them
anyway, I delete those emails. did a forgot password myself, and found there is no way of changing email or editing profile.
All I wanted was the DELETE that damn account.
I made an app that lets you chart anything on coinmarketcap on tradingview. It also integrates with coinmarketcal events.
 RT to help spread this around.
Retweets
485
Likes
913
shak3nbak316-Aug-18 04:51 AM
Does anyone else own Particl? It's built on BTC core and has a lot of firsts in the space
Cryptoon16-Aug-18 07:11 AM
How long will it take for people to realize btc will continue to chop without a big external catalyst and move on over to alts?
Had a quick look at the ‘14-‘16 period
Seems total marketcap and btc price moved the same way, which gives an indication that even then alts were coupled to btc


During the last splutters of the Harold Wilson years, I had occasion to read a slim book entitled Zen Buddhism, which consisted simply of a series of what I think are called kōans, anecdotes or parables designed to assist one in striving towards enlightenment. I do not recall any particular kōan in detail, but they all seemed very similar, and tucked away in my memory there is a sort of generic kōan, which goes something like this:
One day Bin-Bag was fishing in a stream, and he caught a pike. He decided to take it to his Master as a gift.
“Here, Master, I have brought you a pike,” he said.
Bin-Bag's Master took the pike, and then he picked up a stick and bashed his pupil about the head with it.
“Ouch!” wailed Bin-Bag.
The Master pushed Bin-Bag down a slope and resumed his meditation. Bin-Bag rubbed his head and understood he was one step further towards Enlightenment.
I was young and impressionable, but even then I could see that this was complete twaddle. Compared to Zen, Roman Catholicism seemed sensible and coherent. I decided to have no truck with Eastern mysticism in future.
Years later, however, I was glad I had read the book. I was commissioned to write a potted biography of the Woohoohoodiwoo Woman, and struggled to find an angle from which to approach the subject. Then I realised that the witless kōans provided an ideal model. I was able to scribble dozens of short yarns about the Woohoohoodiwoo Woman, based on my faltering recollection of Zen kōans. The only changes I had to make were to substitute the Zen Master's bashing and shoving with the Woohoohoodiwoo Woman's technique of making haphazard gesticulations at a robin, or at a flock of sparrows, or, in extremis, when faced with a particularly recalcitrant acolyte, wandering woozily off to a nearby kiosk to buy herself a toffee apple.
And that brings us smartly to the end of our alphabet.


Intro to Programming (March 9th, 2015)
What you'll Learn to Do:
- Build a web page and put it online
- Automate email
- Piece together a program
Thinking like a Programmer
- Procedural Thinking: Step by step
- Abstract Thinking: Finding similarity (1 + 1 = 2)
- Systems Thinking: Big picture thinking, creating a plan
- Technological Empathy: Understanding a computer (what is, does good/bad, how it works)
- Debugging: Systematic process is identifying issue (bug) in code.
The Basics of the Web (Unit 1, March 11th, 2015)
A) Browser - A program that displays files found on the web (Program)
B) Internet - Largest network in the WORLD!!
C) HTTP - Hyper Text Transfer Protocol
D) Servers - Computers dedicated to hosting the files browsed by your browser
HTML
Hypertext Markup Language. These form the majority of documents on the web.
These documents contain markups (tags, etc), references (images), text content, and hyperlinks.
Tags/Elements
Tags include things such as <.b>, <.em>, <.p>, <.br> and many more.
(Period used to keep them from activating, is there a way to do this differently?)
Tags can also be within each other.
Elements are the entire structure, such as using the opening and closing tag sandwiching the contents.
HTML Attributes
An attribute example learned in this lesson was "href", with the tag "a" to allow for hyperlinking!
Example of hyperlinking: Udacity!
Example of embedding an image:
The above is an example of a void tag. It does not need a tag with / in it to complete it.
Whitespace
This is the use of a tag that is used to break up a line
to the next one on a webpage, since you can
break a line within HTML and without the tag, it won't show as a broken line.
The <.p> tag can be used the same way as the <.br> tag can be used, except that it breaks twice, so it can be used
to double space essentially.
Inline/Block
I am fuzzy on this concept. From my understanding tags such as <.br>, <.a>, or <.span> (which I don't understand)
are all inline, meaning they don't form a block and stay in line such as:
This is span, see how it doesn't break up?
But this one did
break up?
This requires more practice, I'm not comfortable with it yet.


{% extends "layout.html" %} {% block page_title %} Contact details {% endblock %} {% block content %} {% include "../includes/phase_banner_alpha.html" %} Contact details Updates about your application will be sent to you by letter, text message and email. Address Enter an address where you want information about your claim to be sent. Postcode Phone number You need to explain more about how to contact you on this number Select the one that applies to you Text only (no voice calls) Voice only (no text) Other number You need to explain more about how to contact you on this number Select the one that applies to you Text only (no voice calls) Voice only (no text) Email {% endblock %}
Updates about your application will be sent to you by letter, text message and email.
Enter an address where you want information about your claim to be sent.


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123 Street name
Cario
SKS Area
Email<EMAIL_ADDRESS>Phone:<PHONE_NUMBER>8


Java has log4j...Objective-C has CocoaLumberjack...and now Swift has CleanroomLogger
Gilt Tech is proud to announce the release of CleanroomLogger 1.0, an open-source logging API for iOS.
CleanroomLogger provides a simple, lightweight and performant logging API written in Swift that will be readily understood by anyone familiar with other logging packages like CocoaLumberjack and log4j.
CleanroomLogger Highlights
CleanroomLogger provides these key features:
- Classify log messages according to one of five severity levels: verbose, debug, info, warning and error
- See the source file and line number of each log message recorded
- Silently ignore messages below a given severity threshold
- Far more respectful of the calling thread than
NSLog()
- A
trace()
function that can be used to trace an application’s code paths by logging the location of its caller - Configurable log behavior that puts the application developer in control of embedded code
- Extension points that allow custom implementations for (1) log message formatting, (2) message filtering logic, and (3) the recording of log messages to an underlying facility.
Message logging
Each message sent to the log is associated with a severity value indicating the relative importance of the message.
You would send an informational message as follows:
Log.info?.message("The user has added \(count) items to the cart")
If a condition occurs that itself isn’t an error, but that might signal future trouble, you might issue a warning:
Log.warning?.message("We're running low on space!!!")
Finally, when things hit the fan, you’ve got:
Log.error?.message("Oh my, this is extremely embarrassing")
Each log message is recorded with the file and line that issued it, so you can very quickly figure out what code was responsible for a given message.
Execution tracing
As you’re developing and testing your code, you might want to understand the flow of execution your code takes. You can add trace()
calls to various points in your code:
Log.debug?.trace()
The code above would print out the file and line number containing the trace()
call, as well as the name of the calling function. The output looks like:
ModularTable.swift:364 — tableView(_:cellForRowAtIndexPath:)
Logging arbitrary values
Sometimes life hands you an NSError
. Why bother constructing a new message? The NSError
is the message:
Log.error?.value(err)
This function accepts Any?
, meaning it’ll handle anything you throw at it.
Extensibility
CleanroomLogger’s extension points allow you to fully customize all aspects of logging without having to worry about the mechanics of how a logging engine is implemented.
The ability to provide one or more custom LogRecorder
implementations is particularly powerful. You could implement your own LogRecorder
to do things like:
- Write messages to a file or set of (potentially rotating) files
- Store messages with a warning or error severity in a database for subsequent diagnostic evaluation
- Send messages with an error severity to a network endpoint to enable rapid response to codebase instability
And because more than one LogRecorder
can be used at a time, you can multiplex your log messages to multiple destinations without writing any additional code.
About CleanroomLogger
CleanroomLogger is part of the Cleanroom project a set of open-source Swift projects launched as “an experiment in re-imagining Gilt’s iOS codebase in a legacy-free incarnation that embraces the latest Apple technology.”
The source code for CleanroomLogger is available on GitHub, and may be used, modified and redistributed freely under the MIT license.


Created by Tom Wilson / @twilson63
WHOAMI
President of Jack Russell Software, a Division of CareKinesis
Technology Vision, Software Architecture, Developer Training
Head Instructor for CHS CodeCamp - http://chscodecamp.com
Teach: AngularJS, NodeJS, CouchDb, and DevTools
CoderDojo CHS http://coderdojochs.github.io/
Champion - NodeCopter Pilot Instructor
Our clients continued to ask/demand for richer user experiences.
http://fistfuloftalent.com/wp-content/uploads/2012/06/angry-computer-large-500x320.jpgJQuery event model was becoming unmaintainable.
We needed to test our JavaScript in a sane efficient way.
http://blog.algoworks.com/wp-content/uploads/2013/09/Software-testing-trends-2013.jpgWe wanted a JavaScript Framework that would be fun and productive.
http://tippingback.com/wp-content/uploads/2012/11/How-to-have-fun-advice-from-the-social-skills-self-help-blog-tipping-back.jpgAngularJS is built around the belief that declarative programming should be used for building UIs and wiring software components, while imperative programming is excellent for expressing business logic. The framework adapts and extends traditional HTML to better serve dynamic content through two-way data-binding that allows for the automatic synchronization of models and views. As a result, AngularJS deemphasizes DOM manipulation and improves testability.
hhttp://en.wikipedia.org/wiki/Angular_JS<!doctype html>

Hello {{name}}!

See the Pen %= penName %> by Tom Wilson (@twilson63) on CodePen

<input ng-model="name">

Hello {{name}}!

See the Pen %= penName %> by Tom Wilson (@twilson63) on CodePen
Dependency Injection (DI) is a software design pattern that deals with how code gets hold of its dependencies.
angular.module('app')
.controller('MainCtrl', function($scope, $http, $location) {
...
});
angular.module('App', [])
.controller('HomeCtrl', function($window) {
$window.document.write('Hello World');
});
See the Pen %= penName %> by Tom Wilson (@twilson63) on CodePen
angular.module('myModule', [])
.factory('notify', function($window) {
var msgs = [];
return function(msg) {
msgs.push(msg);
if (msgs.length == 3) {
$window.alert(msgs.join("\n"));
msgs = [];
}
};
}]);
.controller('MainCtrl', function($scope, notify) {
notify('Hello');
notify('World');
notify('GoodBye');
});
});
See the Pen %= penName %> by Tom Wilson (@twilson63) on CodePen
Services are Singletons
ngRepeat

<title>HelloWorld</title>

{{item}}

See the Pen %= penName %> by Tom Wilson (@twilson63) on CodePen
ngClick

<title>HelloWorld</title>

<button ng-click="alert()">Click</button>

See the Pen %= penName %> by Tom Wilson (@twilson63) on CodePen
Understanding the Directive
angular.module('app')
.directive('myDirective', function() {
return {
restrict: 'EAC',
scope: true,
transclude: false,
replace: true,
compile: ...
link: ...
templateUrl: ...
controller: ...
}
});
See the Pen %= penName %> by Tom Wilson (@twilson63) on CodePen
Build your own
angular.module('directive', []).directive('contenteditable', function() {
return {
require: 'ngModel',
link: function(scope, elm, attrs, ctrl) {
// view -> model
elm.on('blur', function() {
scope.$apply(function() {
ctrl.$setViewValue(elm.html());
});
});
// model -> view
ctrl.$render = function(value) {
elm.html(value);
};
// load init value from DOM
ctrl.$setViewValue(elm.html());
}
};
});
See the Pen %= penName %> by Tom Wilson (@twilson63) on CodePen
AngularJS declarative directive makes it quick and easy to build proof of concept applications.
Community
http://ngmodules.org/


Düsseldorf, Germany
+49<PHONE_NUMBER>3
<EMAIL_ADDRESS>linkedin.com/in/maratynsky
Hello! I am Marat, I am a software engineer and I design and develop software.
Hello! I am Marat, a skilled software engineer with a passion for creating high-quality software solutions. With a strong foundation in software development principles and methodologies, I specialize in designing and implementing robust and scalable applications. My expertise spans across various programming languages and technologies, allowing me to tackle diverse software development projects with precision and efficiency. I am committed to staying up-to-date with the latest industry trends and continuously expanding my skill set to deliver innovative and cutting-edge software solutions.
Senior Software engineer, Instana (IBM)
Observability Platform, APM. Germany, 03/2021-present
instana.com
Java Kotlin Reactor Kafka Hazelcast Elastic Search CockroachDB Clickhouse Monitoring
Instana is an application performance monitoring (APM) platform that helps organizations monitor and analyze the performance of their applications and infrastructure in real-time. It provides comprehensive observability into the entire application stack, including microservices, containers, cloud environments, and more.
As a senior software engineer in Instana's Issue Detection Team, I made valuable contributions to the development of our advanced application performance monitoring platform. Through data analysis and innovative approaches, we significantly enhanced the platform's capabilities. Our solutions empower customers to proactively detect problems and address performance issues within their applications and infrastructure at an early stage.
Senior Software engineer, tick Trading Software AG
Fintech. Düsseldorf, Germany, 06/2020-02/2021
tick-ts.de
Java Groovy Multithreading MySQL Docker k8s
Tick TS AG specializes in high-performance trading software for financial markets. They provide innovative technology solutions to optimize trading strategies and operations, helping clients make informed decisions and enhance their trading performance.
In my role, I was responsible for developing a high-performance distributed trading platform. Throughout the development process, I conducted rigorous testing and performance analysis to identify and resolve bottlenecks, ensuring that the trading platform met the stringent requirements of the financial industry.
Senior Software engineer, freshcells systems engineering GmbH
Software development. Düsseldorf, Germany, 06/2018-05/2020
freshcells.de
Java Kotlin Docker Kubernetes Helm GCP Jenkins Bitbucket Spring Boot Spring Cloud Data Flow Spring WebFlux RabbitMQ MongoDB MySQL PostgreSQL Elastic Search GraphQL RSocket
ProMaterial is the new technology network specialising in online sales of construction products. The innovative sales concept supports the search for and the purchase of building materials within milliseconds in different channels. ProMaterial already lists 200 manufacturers with 500,000 products for sale in Germany, Austria and Switzerland.
As a senior backend developer, my role encompassed working on a project that involved the design, development, and deployment of a event-driven platform based on microservices architecture.
I was involved in the design and development of reactive microservices based on Spring Boot. Additionally, I took charge of designing, building, and maintaining the project's CI/CD pipeline using Jenkins and Bitbucket Pipelines.
Team lead / Software engineer, Cinarra Systems
Advertising Technology. Kazan, Russia, 12/2012–05/2018
cinarra.com
Java Spring Boot Maven Python PostgreSQL Hibernate Postgis AWS Docker Consul CouchDB Couchbase Protobuf Kafka Project management
Cinarra is a technology startup that is addressing the changing economics of an increasingly mobile society. By uniting mobile operators and their unique “always on” data assets with the advertising ecosystem. Cinarra unlocks real-life data that makes it possible for advertisers to match campaigns to consumers' activities in the real world. Through groundbreaking technology, Cinarra is creating the foundation for a new mobile Internet economy.
Leading investors: SoftBank, Almaz Capital, and Cisco Systems.
During my role, I had the following responsibilities:
Software engineer, Center Group
Software Development. Kazan, Russia, 09/2009-11/2012
cg.ru
Java Spring Maven Hibernate Tomcat Portlets PostgreSQL GWT/ExtJS Swing Oracle Ant
Worked on multiple projects with different technologies.
Web developer, Volga Crisis Management Institute
Software Development. Kazan, Russia, 09/2008-08/2009
pai.ru
PHP JavaScript JQuery CSS MySQL
I developed a full-stack web application for a real estate agency, utilizing PHP and JavaScript. This included creating the agency's website and internal administrator panels.
Master of Computer Science
Kazan National Research Technical University
Diploma with honors, Kazan, Russia, 2005-2010
kai.ru
Mathematics Computer Science Algorithms Data structures Networking


Welcome {{userinfo['name']}}
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Open3D
latest (cf20af6)
About Open3D
Getting Started
Compiling from source
Building Documentation
Contributing to Open3D
Tutorial
Basic
Advanced
Reconstruction system
C++ interface
Docker
Reference
Python API
open3d.camera
open3d.color_map
open3d.geometry
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open3d.odometry
open3d.registration
open3d.utility
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Open3D
Docs
»
Open3D: A Modern Library for 3D Data Processing
Open3D: A Modern Library for 3D Data Processing
¶
About Open3D
Core features
Supported compilers
Resources
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Installing from PyPI or Conda
PyPI
Conda
Try it
Running Open3D tutorials
Compiling from source
Ubuntu
1. Install dependencies (optional)
2. Setup Python binding environments
2.1 Select the right Python executable
2.2 Jupyter visualization widgets support (experimental)
2.3 Disable Python binding
3. Config
4. Build
5. Install
5.1 Install Open3D Python package
5.2 Install Open3D as a C++ library
MacOS
1. Install dependencies (optional)
2. Setup Python binding environments
3. Config
4. Build
5. Install
Windows
1. Dependencies
2. Setup Python binding environments
3. Config (generate Visual Studio solution)
4. Build
5. Install
Sanity check
Compilation Options
Dependencies
OpenMP
Unit test
Building Documentation
Prerequisites
1. Build Open3D from source
2. Install Sphinx
3. Install Doxygen
Build
Contributing to Open3D
Issues and pull requests
Maintain sanity of the project
Coding style
Automated style Checker
Install clang-format
Ubuntu
macOS
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Checking clang-format version
Install YAPF
Checking and applying format
Ubuntu & macOS
Windows
Tutorial
¶
Basic
Advanced
Reconstruction system
C++ interface
Docker
Reference
Python API
¶
open3d.camera
open3d.color_map
open3d.geometry
open3d.io
open3d.integration
open3d.odometry
open3d.registration
open3d.utility
open3d.visualization
Docs version
latest (cf20af6)
Versions


This is a canvas
based demonstration of the Line chart animationTraceCenter
option
which is used when utilising the trace
effect.
In addition to this trace
effect, there are three datasets shown - and each one is
its own chart object.
The second and third charts start animating when the previous chart has finished.
ie When the first Line chart finishes its trace
effect the callback
triggers the
second chart to start animating and then when it also finishes animating the third Line chart is
animated.
The overall effect is as you see here - each dataset animating sequentially. This is better than delayed effects (so the second Line chart starts tracing whilst the first is still animating and similarly for the third dataset) because the browser isn't animating two charts at once - thus reducing the amount of work that it has to do.
In terms of other configuration, the linewidth
option is set to zero, the
backgroundGrid
and the axes
options are set to false (on two
of the chart objects),
the colors are set to gradients and the Y-axis
scale maximum is set to 35.
The labels are added to the first chart that's drawn
When the screen shrinks the chart is made to be smaller to accommodate the smaller screen
and the text size is reduced. The CSS
float
setting of the canvas
tag is removed so
that it isn't aligned to the right-hand-side.
<script src="RGraph.common.core.js"></script> <script src="RGraph.line.js"></script>Put this where you want the chart to show up:
<div style="float: right"> <canvas id="cvs" width="600" height="250">[No canvas support]</canvas> </div>This is the code that generates the chart - it should be placed AFTER the
canvas
tag(s):


Countdowns has been installed successfully!
To create a new countdown right click the app's icon in the tray and click New countdown.


MAGNOLIA (1999)
Grade: B+
Director: Paul Thomas Anderson
Screenplay: Paul Thomas Anderson
Starring: John C. Reily, Tom Cruise, Melinda Dillon, Jeremy Blackman, April Grace, Julianne Moore, Phillip Seymour Hoffman, Jason Robards, Phillip Baker Hall, William H. Macy, Melora Walters
In MAGNOLIA, Tom Cruise struts and jives, pervading his boyish voice with the inflection of a soulful preacher, William H. Macy babbles about his past, and Melora Walters snorts a lot of coke. Like a Robert Altman film (McCABE AND MRS. MILLER, SHORT CUTS), Paul Thomas Anderson's (BOOGIE NIGHTS) interests lie in communities, and the people who co-exist within them. He leaps between disparate narratives and characters (all with comparative issues), the audience instinctively assuming that he will eventually bring everyone together for the finale (as is usually the case with such a film). But Anderson has something more complex up his sleeve. Without giving too much away, MAGNOLIA is not so much about its characters as it is about the volatile life that surrounds them. And it's not particularly interested in traditional plot lines, but thematically, everything relates. The film concludes in a manner, that made me think of the lack of supremacy we have over our lives.
As the millennium approached, various religious zealots predicted the end of the world. These knuckleheads made the assumption that Earth would be no more because of a passage in the bible hinting that "something" would happen following the commencement of the millennium. Of course nothing did, and besides we have no idea when the millennium is; date and time are man-made and as such we're not on any schedule! (Please excuse me for being so obvious, but trust me, this half-hearted semi-rant is going somewhere). These kind of sentiments have much to do with man's desire to be in control of his existence when really he's just another "spoke on the wheel", to quote one of the characters from MAGNOLIA. We like to think that we have control over our lives, but the sad truth is that we have very little say in the way things ultimately pan out: a plane could crash into our house while we lay in bed, a psycho path might gun us down in a shopping mall, an earthquake may trap us under a building. Life is a series of moments where we often must put our trust in the world that we inhabit. I don't believe that most audiences will walk out of MAGNOLIA liking it as much as I did, or getting from it what I did. Some will say that its ending is irrational, a "cop out", but it resonated with me, and I feel as if I "get" what Anderson was doing. However, one somewhat vocal member of the audience did not. This man chortled loudly at the films concluding moments, obnoxiously proclaiming "This is ridiculous!" I don't think it is. The ending coheres with the basic theme the movie sets up in its opening, and though it is not traditional, it does succeed.
Often when a filmmaker attempts to construct his film solely out of themes, the end result is manipulative and pretentious. But Anderson puts just as much care into his very human characters as he does into his "plot". His story takes place in the "real" world, so when astonishing things happen it's just as stupefying for the characters as it is for us. They exist in their own hectic worlds, never privy to everything that occurs around them. But we see it all, and what it leads up to will only make sense to some of us.
So what is this thing about? It's about our past and how it haunts us no matter how hard we try to escape it, and it's about a redemption that for most never comes. But we expect it to come. Maybe those who react negatively to this film do so because they didn't know what to expect. There is nothing predictable or formulaic about MAGNOLIA. Anderson has brazenly gone in a direction that I think few will comprehend (judging from the plethora of puzzled faces that I noticed, following the screening). Audiences may like being force-fed surprise endings (even if at times they defy logic: THE USUAL SUSPECTS), but when presented with something that is seemingly inexplicable, they would rather dismiss the entire film than put their thinking caps on.
Anderson introduces his intentions with a prologue about chance and coincidence that is so dazzling and free from usual film constrictions, I found myself marveling at its propulsive cleverness. Other scenes left me with the same breathless wonder.
The characters are introduced in a manic ten-minute montage. Jason Robards is an aged producer, plagued with a cancer that is slowly draining the life out of him. Julianne Moore (essentially acting out her BOOGIE NIGHTS coke frenzy scene for the duration of this film) plays his trophy wife. Robards is looked after by a kind, plump nurse, Phil Parama (a slack jawed Phillip Seymour Hoffman). Tom Cruise is Robards' estranged son, a wolfish "self help guru" who instructs horny losers, in a profane workshop on how to pick up chicks. Cruise is constantly over the top screaming out lines like, "Respect the cock!" with such conviction he could be a hopped up Moses relaying the TEN COMMANDMENTS to his people. It's a brave performance, but one that doesn't always work. Cruise has a virtuous little boy voice, and to hear him acting with such macho indignation is a bit like watching David Schwimmer in the Andrew Dice Clay role.
Another character is afflicted with cancer, this one game show host, Jimmy Gator (Phillip Baker Hall). Hall speaks in an urbane, grandfatherly pitch, textured with wisdom and worldliness. He has a likeable demeanor, and as such it's effectively dismaying when we discover his past indiscretions. Gator's pug-nosed, crumpled visage seems to be slowly deteriorating in guilt. He remains estranged from his cokehead daughter, Rose (Melora Walters).  This doesn't stop a kind-hearted cop (John C. Reily) from falling for her. If anyone has the most screen time it's Reily, and that's a good thing; the actor is adept at playing na´ve, yet admirable characters. Along with Hoffman, Reily offers glimmers of hope amid the human wreckage permeating Anderson's tale.
The Game Show is an old fashioned Quiz show, in which child geniuses' match wits against challenging adults. The current child star is Stanley Spector (an emerald eyed Jeremy Blackman). Spector is idly in the process of becoming estranged from his loutish father. Then finally, there is a jittery William H. Macy as former whiz kid Donnie Smith, now just plain old current loser, Donnie Smith. Anderson shoots this with the same audacious camera motions he employed in BOOGIE NIGHTS. At times he seems too in love with his own film making abilities. He utilizes expansive pans, and whooshing, stylized hand-held movements, simultaneously jacking up the volume on the soundtrack at just the right moment for impact. While that's a sure way to increase the energy in one scene, it becomes a bit exhausting if over done, as is occasionally the case. The film has constant climaxes, realizations, and emotional outbursts all handled relatively well. In one affecting sequence Blackman breaks down on air, directing his malice at Jimmy Gator for heaping so much pressure on innocent children. It's a distressing moment, because the kid has no idea how to convey his feelings; they just come bursting out of him like a flood of pent up sentiments. The reaction is substantially real, and one that thankfully isn't accompanied by a bullying Hollywood score.
Though MAGNOLIA is chock full of great actors (some of whom doing their best work here) it is Anderson who deserves much of the credit. His dialogue and the way the actors use it, is authentic; the characters have a certain middle class vagueness about them. They stutter, stumble over words, and interrupt each other like genuine people. They talk about inconsequential things, and they don't always communicate their emotions in ways that we're used to seeing.
Anderson takes a big chance with this movie; it's not typically mainstream, and not one that even many critics have agreed on. But it's well worth it for adventurous filmgoers. At three hours, MAGNOLIA is a constantly surprising epic that bridges the gap between the believable and the unbelievable.
http://www.geocities.com/incongruity98 Reeling (Ron Small)
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


The Killer Shrews (1959) 69m.
NIGHT OF THE LIVING DEAD was a standout horror movie of its time, and the inspiration for its depiction of characters under siege could be attributed in turn to the finale of THE BIRDS, the novel 'I Am Legend', or even those Westerns in which characters find themselves fighting off hostiles while holed up in cavalry forts. But ten years before Romero made his celebrated horror pic there was this low-budget B-picture, produced by one of its stars, Ken Curtis (who, interestingly, does not play the hero), which could also have served as inspiration had it been more widely known. Curtis, who played Festus on the TV series GUNSMOKE, collaborated with one of the show's writers, Jay Simms, to bring THE KILLER SHREWS to the screen. They'd obviously intended to try their hand at a horror film, but unfortunately, it's best known today for its supposed camp value. The film's pre-credit voiceover is laughable, and the opening lines of dialogue not much better, but I don't think it deserves its much-maligned reputation. After its shaky start it becomes a decent, economical piece of film-making. Curtis' budget obviously failed to provide him with convincing monsters, but a realistic horde of vicious, oversized shrews would have been beyond the means of any studio in 1959. The film-makers tried to get around this problem by switching between model heads (for close-ups) and dogs hidden under costumes (for long shots), and it's this presentation of the 'killer' shrews that earns the film ridicule from viewers today. Personally, I don't see much difference between a dog in a costume or a man in a costume, and for that reason the shrews shouldn't come across any more hokey than the rubber suits of other 50s horror classics like THE THING or THE CREATURE FROM THE BLACK LAGOON.
The 'siege' element of the story is twofold: firstly, its seven characters are trapped on an island that is being used for an overpopulation experiment (shrews are being bred to the point of self-extinction), and secondly, they are confined to an adobe house which is being weakened by the violent storm outside. I like the way THE KILLER SHREWS overcomes its limitations by confining its events to one set, using sound effects (the constant wind), lighting, and editing to create atmosphere. The shrews get a fair share of screen time, but move quickly and are never clearly seen (director Ray Kellogg may have been taking a leaf out of Jacques Tourneur's book). I also find the motivation of the monsters this time around a lot more believable than most other horror pics. Unlike other 50s creatures, which seemed intent only in stealing the hero's girlfriend or rampaging around and lowering property values, the shrews are driven by starvation - their attempts to bite or claw their way into the house are quite creepy, and there's even one good shock effect. There's also some great moments between Curtis and star James Best (who, like the characters in NIGHT OF THE LIVING DEAD, can't co-operate despite the menacing horrors outside), and a quirky escape plan. Watch it late at night with the lights out, and you may find it's not as bad as you've heard. I realize I'm probably sticking my neck out on this one, but I guess I've always stood up for the underdog, even when they're disguised as shrews.
<EMAIL_ADDRESS>========== X-RAMR-ID: 29515 X-Language: en X-RT-ReviewID: 250606 X-RT-TitleID: 1055824 X-RT-AuthorID: 1305
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


Pose Matrix Editor
- Added clipboard support for copying rows, columns, or cells.
- Added button to copy a code from one cell into the rest of the column.
- Added arrow key navigation.
- Added ability to duplicate a sheet.
- For skins, added button to pull in columns for all poses that the main character uses.
- Added indicator to skins indicating poses that exist in the main character but not the skin.
- Added a button to open the character folder from the Pose Matrix Editor.
Bug Fixes
- Fixed issues with the Pose Matrix editor in a skin saving and reading images from the main character directory.
- Various minor Pose Matrix bug fixes.


About hpricot.rb
All of Hpricot’s various part are loaded when you use require
'hpricot'
.
-
hpricot_scan: the scanner (a C extension for Ruby) which turns an HTML stream into tokens.
-
hpricot/parse.rb: uses the scanner to sort through tokens and give you back a complete document object.
-
hpricot/tag.rb: sets up objects for the various types of elements in an HTML document.
-
hpricot/modules.rb: categorizes the various elements using mixins.
-
hpricot/traverse.rb: methods for searching documents.
-
hpricot/elements.rb: methods for dealing with a group of elements as an Hpricot::Elements list.
-
hpricot/inspect.rb: methods for displaying documents in a readable form.
Required Files
- encoding/character/utf-8


BF4 is coming out soon and next week all get a closer look into the beta also.
Also BBLog will be available for BF4 Battlelog in the beta, maybe.
So, to make sure that all user's have the best experience with BBLog it is required to prepare and "rethink" your themes or plugins. Please consider this tipps and do some optimization if required, for your theme or plugin to be optimally prepared for the new BF4 battlelog with BBLog.
Theme Tipps:
If you have developed a theme for the current battlelog, it will probably destroy the battlelog in BF4.
So make sure that you use specific section selectors for each battlelog section.
For example you can add new css rules for BF3 only with just using the Html-ID selector as the root element. This code just apply in the bf3 section of the battlelog. #base-bf3-html .someotherclass {background:black;}
Official BBLog Themes are already splitted for the different Battlelog Sections.
Plugin Tipps:
If you have developed a plugin for the current battlelog, it will probably destroy the battlelog in BF4.
So, make sure that your code only change things in the BF3/MOH:W section and leave the BF4 untouched until the plugin have specially been developed for the new section.
It's simple to made this, just use the code snippet to seperate code for the sections if(BBLog.cache("mode") == "bf3"){
// only in bf3 section
}
if(BBLog.cache("mode") == "bf4"){
// only in bf4 section
}
Please spread this to known developers to prepare us all for BF4.


If your browser doesn't automatically go there within a few seconds, you may want to go to
Node Red
manually.


Agriculture is the action of farming with soil and the use of growing crops to provide nutrients,wooland and various products. Agriculture holds an important role in the enviornment because it exposes sustainability,and renewable energy to the world around us.
Read MoreAgriculture is extremely helpful for humanity as a whole. However, the pesticides sprayeed on vegetables, fruit, and other crops, although extremely efficient in reducing the number of insects, are also extremely harmful those very insects, usually killing them.
Learn more about pesticides here!As you may know, pesticides cannot be eliminated completely, however one step at at time can make a difference. To start, farmers should plant in a less invasive way, so that pesticides and insects do not depend on plants that the farmers grow.
Sign the petition to ban the use of pesticides TODAY!


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Your web page has been linked and will show in your app. To view your web page now click
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| Home | Libraries | People | FAQ | More |
This documentation was pulled together by John Maddock, using Boost.Quickbook
and Boost.DocBook.
本文档由 John Maddock 协助完成，使用了 Boost.Quickbook
和 Boost.DocBook
工具。
The original version of this library was created by Steve Cleary, Beman Dawes,
Howard Hinnant, and John Maddock. John Maddock is the current maintainer of
the library.
此库的原始版本由 Steve Cleary，Beman Dawes，Howard
Hinnant 和 John Maddock 创建，当前主要由 John Maddock 维护。
This version of type traits library is based on contributions by Adobe Systems
Inc, David Abrahams, Steve Cleary, Beman Dawes, Aleksey Gurtovoy, Howard Hinnant,
Jesse Jones, Mat Marcus, Itay Maman, John Maddock, Thorsten Ottosen, Robert
Ramey and Jeremy Siek.
本版 type traits 库基于 Adobe Systems Inc
David Abrahams，Steve Cleary，Beman Dawes， Aleksey Gurtovoy，Howard Hinnant，Jesse
Jones，Mat Marcus，Itay Maman，John Maddock， Thorsten Ottosen，Robert
Ramey 和 Jeremy Siek 的捐赠。
Mat Marcus and Jesse Jones invented, and published
a paper describing, the partial specialization workarounds used in
this library.
此库中使用的偏特化 workarounds 由 Mat Marcus
和 Jesse Jones 做出并 撰文介绍。
Aleksey Gurtovoy added MPL integration to the library.
Aleksey Gurtovoy
将 MPL 结合到此库中。
The is_convertible
template is based on code originally devised by Andrei Alexandrescu, see "Generic<Programming>:
Mappings between Types and Values".
is_convertible
模板所基于的代码最初由 Andrei Alexandrescu 做出，参见 "Generic<Programming>:
Mappings between Types and Values"。
The latest version of this library and documentation can be found at www.boost.org. Bugs, suggestions and discussion
should be directed to<EMAIL_ADDRESS>(see www.boost.org/more/mailing_lists.htm#main
for subscription details).
此库的最新版本和文档可以在 www.boost.org 找到。bugs，建议和讨论请提交到
<EMAIL_ADDRESS>www.boost.org/more/mailing_lists.htm#main）。


SHAYARI TO BE DISPLAYED HERE
Author to be Displayed Here
New Quote
Quote
Author to be Displayed Here
New Quote


| ID | Description | Non-Finished | Progress | Created |
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Source code for torch.profiler.profiler
import gzip
import json
import os
import tempfile
from enum import Enum
from functools import partial
from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple
from warnings import warn
import torch
import torch.autograd.profiler as prof
from torch._C import _get_privateuse1_backend_name
from torch._C._profiler import (
_add_execution_trace_observer,
_disable_execution_trace_observer,
_enable_execution_trace_observer,
_ExperimentalConfig,
_remove_execution_trace_observer,
)
from torch.autograd import kineto_available, ProfilerActivity
from torch.profiler._memory_profiler import MemoryProfile, MemoryProfileTimeline
__all__ = [
"supported_activities",
"ProfilerAction",
"schedule",
"tensorboard_trace_handler",
"profile",
"ExecutionTraceObserver",
]
PROFILER_STEP_NAME = "ProfilerStep"
def supported_activities():
"""
Returns a set of supported profiler tracing activities.
Note: profiler uses CUPTI library to trace on-device CUDA kernels.
In case when CUDA is enabled but CUPTI is not available, passing
``ProfilerActivity.CUDA`` to profiler results in using the legacy CUDA
profiling code (same as in the legacy ``torch.autograd.profiler``).
This, in turn, results in including CUDA time in the profiler table output,
but not in the JSON trace.
"""
return torch.autograd._supported_activities()
[docs]class _KinetoProfile:
"""Low-level profiler wrap the autograd profile
Args:
activities (iterable): list of activity groups (CPU, CUDA) to use in profiling, supported values:
``torch.profiler.ProfilerActivity.CPU``, ``torch.profiler.ProfilerActivity.CUDA``.
Default value: ProfilerActivity.CPU and (when available) ProfilerActivity.CUDA.
record_shapes (bool): save information about operator's input shapes.
profile_memory (bool): track tensor memory allocation/deallocation.
with_stack (bool): record source information (file and line number) for the ops.
with_flops (bool): use formula to estimate the FLOPS of specific operators
(matrix multiplication and 2D convolution).
with_modules (bool): record module hierarchy (including function names)
corresponding to the callstack of the op. e.g. If module A's forward call's
module B's forward which contains an aten::add op,
then aten::add's module hierarchy is A.B
Note that this support exist, at the moment, only for TorchScript models
and not eager mode models.
experimental_config (_ExperimentalConfig) : A set of experimental options
used by profiler libraries like Kineto. Note, backward compatibility is not guaranteed.
.. note::
This API is experimental and subject to change in the future.
Enabling shape and stack tracing results in additional overhead.
When record_shapes=True is specified, profiler will temporarily hold references to the tensors;
that may further prevent certain optimizations that depend on the reference count and introduce
extra tensor copies.
"""
def __init__(
self,
*,
activities: Optional[Iterable[ProfilerActivity]] = None,
record_shapes: bool = False,
profile_memory: bool = False,
with_stack: bool = False,
with_flops: bool = False,
with_modules: bool = False,
experimental_config: Optional[_ExperimentalConfig] = None,
):
self.activities = set(activities) if activities else supported_activities()
self.record_shapes = record_shapes
self.with_flops = with_flops
self.profile_memory = profile_memory
self.with_stack = with_stack
self.with_modules = with_modules
self.experimental_config = experimental_config
self.profiler: Optional[prof.profile] = None
self.mem_tl: Optional[MemoryProfileTimeline] = None
self.use_device = None
privateuse1_backend = _get_privateuse1_backend_name()
if privateuse1_backend != "privateuseone":
self.use_device = privateuse1_backend
def start(self):
self.prepare_trace()
self.start_trace()
def stop(self):
self.stop_trace()
def prepare_trace(self):
self.profiler = prof.profile(
use_cuda=(ProfilerActivity.CUDA in self.activities),
use_cpu=(ProfilerActivity.CPU in self.activities),
use_mtia=(ProfilerActivity.MTIA in self.activities),
use_device=None,
record_shapes=self.record_shapes,
with_flops=self.with_flops,
profile_memory=self.profile_memory,
with_stack=self.with_stack,
with_modules=self.with_modules,
use_kineto=True,
experimental_config=self.experimental_config,
)
self.profiler._prepare_trace()
def start_trace(self):
assert self.profiler is not None
self.profiler._start_trace()
if self.profile_memory:
self.add_metadata_json("profile_memory", "1")
if self.with_stack:
self.add_metadata_json("with_stack", "1")
if self.record_shapes:
self.add_metadata_json("record_shapes", "1")
if self.with_modules:
self.add_metadata_json("with_modules", "1")
if self.with_flops:
self.add_metadata_json("with_flops", "1")
if kineto_available():
dist_info = self._get_distributed_info()
if dist_info:
self.add_metadata_json("distributedInfo", json.dumps(dist_info))
# FIXME: CUPTI Lazy Re-init and CUDA Graph crashes with CUDA 11.
is_cuda11_or_lower = (torch.version.cuda is not None) and (
[int(x) for x in torch.version.cuda.split(".")] < [12, 0]
)
if is_cuda11_or_lower and hasattr(torch, "_inductor"):
import torch._inductor.config as inductor_config
if inductor_config.triton.cudagraphs:
os.environ["DISABLE_CUPTI_LAZY_REINIT"] = "1"
self.add_metadata_json("DISABLE_CUPTI_LAZY_REINIT", "1")
def stop_trace(self):
assert self.profiler is not None
self.profiler.__exit__(None, None, None)
[docs] def export_chrome_trace(self, path: str):
"""
Exports the collected trace in Chrome JSON format.
"""
assert self.profiler
if path.endswith(".gz"):
fp = tempfile.NamedTemporaryFile("w+t", suffix=".json", delete=False)
fp.close()
retvalue = self.profiler.export_chrome_trace(fp.name)
with open(fp.name) as fin:
with gzip.open(path, "wt") as fout:
fout.writelines(fin)
os.remove(fp.name)
return retvalue
else:
return self.profiler.export_chrome_trace(path)
[docs] def export_stacks(self, path: str, metric: str = "self_cpu_time_total"):
"""Save stack traces in a file in a format suitable for visualization.
Args:
path (str): save stacks file to this location;
metric (str): metric to use: "self_cpu_time_total" or "self_cuda_time_total"
.. note::
Example of using FlameGraph tool:
- git clone https://github.com/brendangregg/FlameGraph
- cd FlameGraph
- ./flamegraph.pl --title "CPU time" --countname "us." profiler.stacks > perf_viz.svg
"""
assert self.profiler
return self.profiler.export_stacks(path, metric)
[docs] def key_averages(
self, group_by_input_shape: bool = False, group_by_stack_n: int = 0
):
"""Averages events, grouping them by operator name and (optionally) input shapes and
stack.
.. note::
To use shape/stack functionality make sure to set record_shapes/with_stack
when creating profiler context manager.
"""
assert self.profiler
return self.profiler.key_averages(group_by_input_shape, group_by_stack_n)
[docs] def events(self):
"""
Returns the list of unaggregated profiler events,
to be used in the trace callback or after the profiling is finished
"""
assert self.profiler
return self.profiler.function_events
[docs] def add_metadata(self, key: str, value: str):
"""
Adds a user defined metadata with a string key and a string value
into the trace file
"""
wrapped_value = '"' + value.replace('"', '\\"') + '"'
torch.autograd._add_metadata_json(key, wrapped_value)
[docs] def add_metadata_json(self, key: str, value: str):
"""
Adds a user defined metadata with a string key and a valid json value
into the trace file
"""
torch.autograd._add_metadata_json(key, value)
def _get_distributed_info(self):
import torch.distributed as dist
if not dist.is_available() or not dist.is_initialized():
return None
return {
"backend": dist.get_backend(),
"rank": dist.get_rank(),
"world_size": dist.get_world_size(),
}
def _memory_profile(self) -> MemoryProfile:
required = ("record_shapes", "profile_memory", "with_stack")
missing = [f"{i}=True" for i in required if not getattr(self, i)]
if missing:
raise ValueError(f"{', '.join(missing)} required for memory profiling.")
assert self.profiler is not None and self.profiler.kineto_results is not None
return MemoryProfile(self.profiler.kineto_results)
[docs] def export_memory_timeline(self, path: str, device: Optional[str] = None) -> None:
"""Extract the memory information from the memory profile collected
tree for a given device, and export a timeline plot consisting of
[times, [sizes by category]], where times are timestamps and sizes
are memory usage for each category. The memory timeline plot will
be saved a JSON (by default) or gzipped JSON.
Input: (path of file, device)
Output: File written as JSON or gzipped JSON
"""
# Default to device 0, if unset. Fallback on cpu.
if device is None and self.use_device and self.use_device != "cuda":
device = self.use_device + ":0"
if device is None:
device = "cuda:0" if torch.cuda.is_available() else "cpu"
# Construct the memory timeline plot data
self.mem_tl = MemoryProfileTimeline(self._memory_profile())
# Depending on the file suffix, save the data as json.gz or json.
# For html, we can embed the image into an HTML file.
if path.endswith(".html"):
self.mem_tl.export_memory_timeline_html(path, device)
elif path.endswith(".gz"):
fp = tempfile.NamedTemporaryFile("w+t", suffix=".json", delete=False)
fp.close()
if path.endswith("raw.json.gz"):
self.mem_tl.export_memory_timeline_raw(fp.name, device)
else:
self.mem_tl.export_memory_timeline(fp.name, device)
with open(fp.name) as fin:
with gzip.open(path, "wt") as fout:
fout.writelines(fin)
os.remove(fp.name)
else:
self.mem_tl.export_memory_timeline(path, device)
[docs]class ProfilerAction(Enum):
"""
Profiler actions that can be taken at the specified intervals
"""
NONE = 0
WARMUP = 1
RECORD = 2
RECORD_AND_SAVE = 3
[docs]def schedule(
*, wait: int, warmup: int, active: int, repeat: int = 0, skip_first: int = 0
) -> Callable:
"""
Returns a callable that can be used as profiler ``schedule`` argument. The profiler will skip
the first ``skip_first`` steps, then wait for ``wait`` steps, then do the warmup for the next ``warmup`` steps,
then do the active recording for the next ``active`` steps and then repeat the cycle starting with ``wait`` steps.
The optional number of cycles is specified with the ``repeat`` parameter, the zero value means that
the cycles will continue until the profiling is finished.
"""
def schedule_fn(step: int) -> ProfilerAction:
assert step >= 0
if step < skip_first:
return ProfilerAction.NONE
else:
step -= skip_first
num_steps = wait + warmup + active
if repeat > 0 and step / num_steps >= repeat:
return ProfilerAction.NONE
mod_step = step % num_steps
if mod_step < wait:
return ProfilerAction.NONE
elif mod_step < wait + warmup:
return ProfilerAction.WARMUP
else:
return (
ProfilerAction.RECORD
if mod_step < num_steps - 1
else ProfilerAction.RECORD_AND_SAVE
)
assert (
wait >= 0 and warmup >= 0 and active > 0 and repeat >= 0 and skip_first >= 0
), "Invalid profiler schedule arguments"
if warmup == 0:
warn("Profiler won't be using warmup, this can skew profiler results")
return schedule_fn
def _default_schedule_fn(_: int) -> ProfilerAction:
"""
Default profiler behavior - immediately starts recording the events,
keeps doing it on every profiler step.
"""
return ProfilerAction.RECORD
[docs]def tensorboard_trace_handler(
dir_name: str, worker_name: Optional[str] = None, use_gzip: bool = False
):
"""
Outputs tracing files to directory of ``dir_name``, then that directory can be
directly delivered to tensorboard as logdir.
``worker_name`` should be unique for each worker in distributed scenario,
it will be set to '[hostname]_[pid]' by default.
"""
import os
import socket
import time
def handler_fn(prof) -> None:
nonlocal worker_name
if not os.path.isdir(dir_name):
try:
os.makedirs(dir_name, exist_ok=True)
except Exception as e:
raise RuntimeError("Can't create directory: " + dir_name) from e
if not worker_name:
worker_name = f"{socket.gethostname()}_{os.getpid()}"
# Use nanosecond here to avoid naming clash when exporting the trace
file_name = f"{worker_name}.{time.time_ns()}.pt.trace.json"
if use_gzip:
file_name = file_name + ".gz"
prof.export_chrome_trace(os.path.join(dir_name, file_name))
return handler_fn
[docs]class profile(_KinetoProfile):
"""Profiler context manager.
Args:
activities (iterable): list of activity groups (CPU, CUDA) to use in profiling, supported values:
``torch.profiler.ProfilerActivity.CPU``, ``torch.profiler.ProfilerActivity.CUDA``.
Default value: ProfilerActivity.CPU and (when available) ProfilerActivity.CUDA.
schedule (Callable): callable that takes step (int) as a single parameter and returns
``ProfilerAction`` value that specifies the profiler action to perform at each step.
on_trace_ready (Callable): callable that is called at each step when ``schedule``
returns ``ProfilerAction.RECORD_AND_SAVE`` during the profiling.
record_shapes (bool): save information about operator's input shapes.
profile_memory (bool): track tensor memory allocation/deallocation.
with_stack (bool): record source information (file and line number) for the ops.
with_flops (bool): use formula to estimate the FLOPs (floating point operations) of specific operators
(matrix multiplication and 2D convolution).
with_modules (bool): record module hierarchy (including function names)
corresponding to the callstack of the op. e.g. If module A's forward call's
module B's forward which contains an aten::add op,
then aten::add's module hierarchy is A.B
Note that this support exist, at the moment, only for TorchScript models
and not eager mode models.
experimental_config (_ExperimentalConfig) : A set of experimental options
used for Kineto library features. Note, backward compatibility is not guaranteed.
use_cuda (bool):
.. deprecated:: 1.8.1
use ``activities`` instead.
.. note::
Use :func:`~torch.profiler.schedule` to generate the callable schedule.
Non-default schedules are useful when profiling long training jobs
and allow the user to obtain multiple traces at the different iterations
of the training process.
The default schedule simply records all the events continuously for the
duration of the context manager.
.. note::
Use :func:`~torch.profiler.tensorboard_trace_handler` to generate result files for TensorBoard:
``on_trace_ready=torch.profiler.tensorboard_trace_handler(dir_name)``
After profiling, result files can be found in the specified directory. Use the command:
``tensorboard --logdir dir_name``
to see the results in TensorBoard.
For more information, see
`PyTorch Profiler TensorBoard Plugin <https://github.com/pytorch/kineto/tree/master/tb_plugin>`__
.. note::
Enabling shape and stack tracing results in additional overhead.
When record_shapes=True is specified, profiler will temporarily hold references to the tensors;
that may further prevent certain optimizations that depend on the reference count and introduce
extra tensor copies.
Examples:
.. code-block:: python
with torch.profiler.profile(
activities=[
torch.profiler.ProfilerActivity.CPU,
torch.profiler.ProfilerActivity.CUDA,
]
) as p:
code_to_profile()
print(p.key_averages().table(
sort_by="self_cuda_time_total", row_limit=-1))
Using the profiler's ``schedule``, ``on_trace_ready`` and ``step`` functions:
.. code-block:: python
# Non-default profiler schedule allows user to turn profiler on and off
# on different iterations of the training loop;
# trace_handler is called every time a new trace becomes available
def trace_handler(prof):
print(prof.key_averages().table(
sort_by="self_cuda_time_total", row_limit=-1))
# prof.export_chrome_trace("/tmp/test_trace_" + str(prof.step_num) + ".json")
with torch.profiler.profile(
activities=[
torch.profiler.ProfilerActivity.CPU,
torch.profiler.ProfilerActivity.CUDA,
],
# In this example with wait=1, warmup=1, active=2, repeat=1,
# profiler will skip the first step/iteration,
# start warming up on the second, record
# the third and the forth iterations,
# after which the trace will become available
# and on_trace_ready (when set) is called;
# the cycle repeats starting with the next step
schedule=torch.profiler.schedule(
wait=1,
warmup=1,
active=2,
repeat=1),
on_trace_ready=trace_handler
# on_trace_ready=torch.profiler.tensorboard_trace_handler('./log')
# used when outputting for tensorboard
) as p:
for iter in range(N):
code_iteration_to_profile(iter)
# send a signal to the profiler that the next iteration has started
p.step()
"""
def __init__(
self,
*,
activities: Optional[Iterable[ProfilerActivity]] = None,
schedule: Optional[Callable[[int], ProfilerAction]] = None,
on_trace_ready: Optional[Callable[..., Any]] = None,
record_shapes: bool = False,
profile_memory: bool = False,
with_stack: bool = False,
with_flops: bool = False,
with_modules: bool = False,
experimental_config: Optional[_ExperimentalConfig] = None,
# deprecated:
use_cuda: Optional[bool] = None,
):
activities_set = set(activities) if activities else supported_activities()
if use_cuda is not None:
warn("use_cuda is deprecated, use activities argument instead")
if use_cuda:
activities_set.add(ProfilerActivity.CUDA)
elif ProfilerActivity.CUDA in activities_set:
activities_set.remove(ProfilerActivity.CUDA)
assert len(activities_set) > 0, "No valid profiler activities found"
super().__init__(
activities=activities,
record_shapes=record_shapes,
profile_memory=profile_memory,
with_stack=with_stack,
with_flops=with_flops,
with_modules=with_modules,
experimental_config=experimental_config,
)
if schedule:
self.schedule = schedule
# add step markers into the trace and table view
self.record_steps = True
else:
self.schedule = _default_schedule_fn
self.record_steps = False
self.on_trace_ready = on_trace_ready
self.step_num = 0
self.current_action = self.schedule(self.step_num)
self.step_rec_fn: Optional[prof.record_function] = None
self.action_map: Dict[
Tuple[ProfilerAction, Optional[ProfilerAction]], List[Any]
] = {
# key is (prev_action, current_action), value is action list corresponding to the state pair.
(ProfilerAction.NONE, ProfilerAction.NONE): [],
(ProfilerAction.NONE, ProfilerAction.WARMUP): [self.prepare_trace],
(ProfilerAction.NONE, ProfilerAction.RECORD): [
self.prepare_trace,
self.start_trace,
],
(ProfilerAction.NONE, ProfilerAction.RECORD_AND_SAVE): [
self.prepare_trace,
self.start_trace,
],
(ProfilerAction.WARMUP, ProfilerAction.NONE): [
partial(warn, "Incorrect schedule: WARMUP followed by NONE"),
self.start_trace,
self.stop_trace,
],
(ProfilerAction.WARMUP, ProfilerAction.WARMUP): [],
(ProfilerAction.WARMUP, ProfilerAction.RECORD): [self.start_trace],
(ProfilerAction.WARMUP, ProfilerAction.RECORD_AND_SAVE): [self.start_trace],
(ProfilerAction.RECORD, ProfilerAction.NONE): [
partial(warn, "Incorrect schedule: RECORD followed by NONE"),
self.stop_trace,
],
(ProfilerAction.RECORD, ProfilerAction.WARMUP): [
partial(warn, "Incorrect schedule: RECORD followed by WARMUP"),
self.stop_trace,
],
(ProfilerAction.RECORD, ProfilerAction.RECORD): [],
(ProfilerAction.RECORD, ProfilerAction.RECORD_AND_SAVE): [],
(ProfilerAction.RECORD_AND_SAVE, ProfilerAction.NONE): [
self.stop_trace,
self._trace_ready,
],
(ProfilerAction.RECORD_AND_SAVE, ProfilerAction.WARMUP): [
self.stop_trace,
self._trace_ready,
self.prepare_trace,
],
(ProfilerAction.RECORD_AND_SAVE, ProfilerAction.RECORD): [
self.stop_trace,
self._trace_ready,
self.prepare_trace,
self.start_trace,
],
(ProfilerAction.RECORD_AND_SAVE, ProfilerAction.RECORD_AND_SAVE): [
self.stop_trace,
self._trace_ready,
self.prepare_trace,
self.start_trace,
],
# used for exit action
(ProfilerAction.WARMUP, None): [self.start_trace, self.stop_trace],
(ProfilerAction.RECORD, None): [self.stop_trace, self._trace_ready],
(ProfilerAction.RECORD_AND_SAVE, None): [
self.stop_trace,
self._trace_ready,
],
}
# Start tracking increments to profiler step, this will be used
# by Kineto
prof.KinetoStepTracker.init_step_count(PROFILER_STEP_NAME)
def __enter__(self):
prof._enable_dynamo_cache_lookup_profiler(True)
self.start()
return self
def __exit__(self, exc_type, exc_val, exc_tb):
self.stop()
prof._enable_dynamo_cache_lookup_profiler(False)
prof.KinetoStepTracker.erase_step_count(PROFILER_STEP_NAME)
def start(self):
self._transit_action(ProfilerAction.NONE, self.current_action)
if self.record_steps:
self.step_rec_fn = prof.record_function(
"ProfilerStep#" + str(self.step_num)
)
self.step_rec_fn.__enter__()
def stop(self):
if self.record_steps and self.step_rec_fn:
self.step_rec_fn.__exit__(None, None, None)
self._transit_action(self.current_action, None)
[docs] def step(self):
"""
Signals the profiler that the next profiling step has started.
"""
if self.record_steps and self.step_rec_fn:
self.step_rec_fn.__exit__(None, None, None)
prev_action = self.current_action
cur_step = self.step_num
self.step_num += 1
self.current_action = self.schedule(self.step_num)
self._transit_action(prev_action, self.current_action)
prof.KinetoStepTracker.increment_step(PROFILER_STEP_NAME)
if self.record_steps:
self.step_rec_fn = prof.record_function("ProfilerStep#" + str(cur_step))
self.step_rec_fn.__enter__()
def _trace_ready(self):
if self.on_trace_ready:
self.on_trace_ready(self)
def _transit_action(self, prev_action, current_action):
action_list = self.action_map.get((prev_action, current_action))
if action_list:
for action in action_list:
action()
class ExecutionTraceObserver:
"""Execution Trace Observer
Each process can have a single ExecutionTraceObserver instance. The observer
can be added to record function callbacks via calling register_callback()
explicitly. Without calling unregister_callback(), repeated calls to
register_callback() will not add additional observers to record function
callbacks. Once an ExecutionTraceObserver is created, the start() and stop()
methods control when the event data is recorded.
Deleting or calling unregister_callback() will remove the observer from the
record function callbacks, finalize the output file, and will stop
incurring any overheads.
"""
def __init__(self):
"""
Initializes the default states.
"""
self._registered = False
self._execution_trace_running = False
def __del__(self):
"""
Calls unregister_callback() to make sure to finalize outputs.
"""
self.unregister_callback()
def register_callback(self, output_file_path: str):
"""
Adds ET observer to record function callbacks. The the data will be
written to output_file_path.
"""
if not self._registered:
self._output_file_path = output_file_path
self._registered = _add_execution_trace_observer(output_file_path)
def unregister_callback(self):
"""
Removes ET observer from record function callbacks.
"""
if self._registered:
self.stop()
_remove_execution_trace_observer()
self._registered = False
@property
def is_registered(self):
"""
Returns True if the execution trace observer is registered, otherwise False.
"""
return self._registered
def is_running(self):
"""
Returns True if the observer is running, otherwise False.
"""
return self._execution_trace_running
def start(self):
"""
Starts to capture.
"""
if self._registered and not self._execution_trace_running:
_enable_execution_trace_observer()
self._execution_trace_running = True
def stop(self):
"""
Stops to capture.
"""
if self._execution_trace_running:
_disable_execution_trace_observer()
self._execution_trace_running = False
def get_output_file_path(self) -> str:
"""
Returns the output file name.
"""
if self.is_registered:
return self._output_file_path
else:
raise RuntimeError(
"A callback to the ET profiler needs to be registered "
"first before getting the output file path"
)


Hello, my name is Leslie Villatoro and I am studying to become a Full Stack Web Developer.
I´m currently studying at the UC Berkeley extension Coding BootCamp. I have gained experience in HTML5, CSS and JavaScript.
I have a Bachelor's degree in Sociology from the University of California, Los Angeles. With this program I hope to incorporate both my technical skills in coding as well as my critical thinking skills from Sociology and hope to find a job that will allow me to put both to the test. Feel free to check out my resume linked below, where you will find my wide range of experiences I've had in previous jobs
Thank you for exploring my portfolio.
I've included some of my favorite projects as well as my contact information. I look forward to hearing from you soon!Open Resume PDF file here.


Welcome,
John Doe
- Step 1
Personal Information - Step 2
Educational Background - Step 3
Professional Exam - Step 4
Work Experience - Step 5
References - Step 6
Family Background
Personal Information
Educational Background
Work Experience
Add new
| Company name | Position | Description | Contact number | Reason for leaving | Action |
|---|---|---|---|---|---|
| Delete |


Class Debug
Class Summary
Debug()
static debugging utility. To enable debug messages from browser session, simply add '?debug=1' or 'debug=true' to URL when loading any APMPlayer instance (enables console logging). To disable Console + onScreen debug trace, use 'debug=all'.
Method Summary
Field Detail
enabled
used to mark if debugging logs should output or not. to enable, add ?debug=1 to URL when loading player. by default, it logs to the console only; to enable a debug div, do debug=all
- Default Value:
- false
consoleOnly
used to mark if debugging logs should output to console only; true by default. use debug=all to log to both the console AND a helper div on screen.
- Default Value:
- true
type
object that holds the three different logging levels
Debug.type.info Debug.type.warn Debug.type.error
Method Detail
-
log(message, type, object_name)writes to the log
- Parameters:
- {string} message the information to log
- {string} type level of severity to log (see type)
- {string} object_name optional object name to pass (if logging outside of APMPlayer -- APMPlayer_UI for instance)


Isar735.github.io
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Transactional memory (TM) promises to simplify concurrent programming while providing scalability competitive to fine-grained locking. Language-based constructs allow programmers to denote atomic regions declaratively and to rely on the underlying system to provide transactional guarantees along with concurrency. In contrast with fine-grained locking, TM allows programmers to write simpler programs that are composable and deadlock-free.
TM implementations operate by tracking loads and stores to memory and by detecting concurrent conflicting accesses by different transactions. By automating this process, they greatly reduce the programmer’s burden, but they also are forced to be conservative. In certain cases, conflicting memory accesses may not actually violate the higher-level semantics of a program, and a programmer may wish to allow seemingly conflicting transactions to execute concurrently.
Open nested transactions enable expert programmers to differentiate between physical conflicts, at the level of memory, and logical conflicts that actually violate application semantics. A TM system with open nesting can permit physical conflicts that are not logical conflicts, and thus increase concurrency among application threads.
Here we present an implementation of open nested transactions in a Java-based software transactional memory (STM) system. We describe new language constructs to support open nesting in Java, and we discuss new abstract locking mechanisms that a programmer can use to prevent logical conflicts. We demonstrate how these constructs can be mapped efficiently to existing STM data structures. Finally, we evaluate our system on a set of Java applications and data structures, demonstrating how open nesting can enhance application scalability.
@inproceedings{Ni+2007PPoPP, author = {Ni, Yang and Menon, Vijay and Adl-Tabatabai, Ali-Reza and Hosking, Antony L. and Hudson, Richard L. and Moss, J. Eliot B. and Saha, Bratin and Shpeisman, Tatiana}, title = {Open Nesting in Software Transactional Memory}, booktitle = {ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming}, series = {PPoPP}, year = {2007}, pages = {68--78}, month = {March}, address = {San Jose, California}, doi = {10.1145/1229428.1229442}, acm = {http://dl.acm.org/authorize?N93662}, gscholar = {188} }


The conference opens with amazing workshops and continues with two days of incredible talks and keynotes, all of which are facilitated by industry-leading experts.


--- title: Edward Epstein date: 1998-11-09T15:00:00.000Z gender: Gentleman city: Vancouver country: British Columbia, Canada thinkLotrRules: Of course ---
you have a lot of talent,I was very impressed.Are your parents originally from where !!!


Battle Calculator
If this thing lies to you please email me the battle report at
<EMAIL_ADDRESS>and I will take a look and improve it!
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{{selectedItem}}
| Test | Test 2 |
|---|---|
| 2nd test | 2nd test |
| 3rd test | 3rd test |
| 4th test | 4th test |
| 5th test | 5th test |
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| 004:142 Khan | : |
Verily, the hypocrites seek to deceive Allah, but it is He Who deceives them. And when they stand up for As-Salat (the prayer), they stand with laziness and to be seen of men, and they do not remember Allah but little. |
| 004:142 Maulana | : |
The hypocrites seek to deceive Allah, and He will requite their deceit to them. And when they stand up for prayer, they stand up sluggishly -- they do it only to be seen of men and remember Allah but little, |
| 004:142 Pickthal | : |
Lo! the hypocrites seek to beguile Allah, but it is He Who beguileth them. When they stand up to worship they perform it languidly and to be seen of men, and are mindful of Allah but little; |
| 004:142 Rashad | : |
The hypocrites think that they are deceiving GOD, but He is the One who leads them on. When they get up for the Contact Prayer (Salat), they get up lazily. That is because they only show off in front of the people, and rarely do they think of GOD. |
| 004:142 Sarwar | : |
The hypocrites try to deceive God but He, in fact, deceives them. They stand up in prayer lazily just to show that they pray, but, in truth they remember God very little. |
| 004:142 Shakir | : |
Surely the hypocrites strive to deceive Allah, and He shall requite their deceit to them, and when they stand up to prayer they stand up sluggishly; they do it only to be seen of men and do not remember Allah save a little. |
| 004:142 Sherali | : |
The hypocrites seek to deceive ALLAH, but HE will punish them for their deception. And when they stand up for Prayer, they stand up lazily and to be seen of men, and they remember ALLAH but little. |
| 004:142 Yusufali | : |
The Hypocrites - they think they are over-reaching Allah, but He will over-reach them: When they stand up to prayer, they stand without earnestness, to be seen of men, but little do they hold Allah in remembrance; |
Concepts/Themes Covered: الإيمان > الإيمان بالله > النفاق Faith> Belief In Allah> Hypocrisy الإنسان والعلاقات الأخلاقية > الأخلاق الذميمة > الرياء Man and The Moral Relations>The Dispraised Morals>Hypocrisy
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.