If you have any questions that are beyond the scope of this documentation, please feel free to email or contact us via my profile page.
Support Email<EMAIL_ADDRESS>The zip file contains all js files integrated with Lanrdick, however, you need to perform the following steps to get node_modules, etc.
Minimum Node Version Required
8.9.2
Open terminal or command prompt from the root directory of the project and run below command.
npm install
After Completion of installation Run following command to run the project locally. It will run automatically on http://localhost:3000 URL in your default browser it a couple of minutes to run.
npm start
I have tried my best to have standards and modular structure while developing the theme. Following sections are explaining the theme File & Folder, structure, ejs file structure and plugins.
├── node_modules ├── public/ ├── work ( images ) └── index.html ├── src/ ├── Components ├── css ├── fonts ├── images ├── scss ├── App.js ├── App.scss ├── index.js ├── router.js └── serviceWorker.js └── package.json
Once again thank you for purchasing the theme. I am always available to help you. If you have any suggestion or feature to make it better, I am requesting you to contact me, I'll try my best to add them in future updates.
Best,
- ThemesBrand
Copyright 2019 ThemesBrand.


This is the simplest example to demonstrate how initiate an outgoing call.
Don't use this in production as it is not a complete implementation.
Call
Hangup


Page 6 of 7
Re: Want to join the Alpha test?
Posted:
Mon Jun 08, 2009 12:50 pm
by Joe M.
added.
Re: Want to join the Alpha test?
Posted:
Tue Jun 09, 2009 4:16 am
by Zen
I want to play!
Re: Want to join the Alpha test?
Posted:
Tue Jun 09, 2009 5:37 am
by Joe M.
added.
Re: Want to join the Alpha test?
Posted:
Tue Jun 09, 2009 1:42 pm
by Joe M.
done.
Re: Want to join the Alpha test?
Posted:
Tue Jun 09, 2009 3:39 pm
by Joe M.
I've added you to the Alpha testing group. You can find the download in the private Alpha forum.
Re: Want to join the Alpha test?
Posted:
Mon Jun 15, 2009 11:37 am
by CanadianGradeEh
EDIT *Nevermind, I'm already in the Alpha group and just found the download link.*
Lookin' forward to seeing what you guys have done so far! Good to see you guys plugging away at it still -- I was wondering whether or not my donation in 2006 would end up anywhere haha.
Re: Want to join the Alpha test?
Posted:
Fri Jun 26, 2009 7:16 am
by Joe M.
added.
Re: Want to join the Alpha test?
Posted:
Thu Jul 02, 2009 7:07 am
by Joe M.
added.
Re: Want to join the Alpha test?
Posted:
Thu Jul 02, 2009 7:55 pm
by Dyson
I'd love to give it a shot if you're still accepting people.
Re: Want to join the Alpha test?
Posted:
Fri Jul 03, 2009 11:39 pm
by Joe M.
you're in.
Re: Want to join the Alpha test?
Posted:
Sat Jul 04, 2009 5:00 pm
by Dyson
Thank you very much.
Re: Want to join the Alpha test?
Posted:
Sun Jul 05, 2009 2:21 pm
by Joe M.
added.
Re: Want to join the Alpha test?
Posted:
Tue Jul 07, 2009 4:44 am
by sebskillz
Please Add me buddy i cant wait to try this out looks like xen haha O_O
Re: Want to join the Alpha test?
Posted:
Tue Jul 07, 2009 7:10 am
by Joe M.
you're in! you can find the game in the private alpha-test forum.
Re: Want to join the Alpha test?
Posted:
Wed Jul 08, 2009 4:04 pm
by Joe M.
added.
Re: Want to join the Alpha test?
Posted:
Thu Jul 09, 2009 3:20 pm
by strafe of x2
sign me up
Re: Want to join the Alpha test?
Posted:
Thu Jul 09, 2009 3:30 pm
by Joe M.
you're signed up.
Re: Want to join the Alpha test?
Posted:
Thu Jul 09, 2009 3:44 pm
by strafe of x2
thx
Re: Want to join the Alpha test?
Posted:
Sat Jul 11, 2009 11:51 pm
by Sinful
Well, I was already in the testers but i was inactive to long, i guess. How is everything going so far?
P.S. I would like to be abe to check out the updates, add me.
Re: Want to join the Alpha test?
Posted:
Sun Jul 12, 2009 3:35 am
by Joe M.
Things are going great! We're looking forward to two significant updates very soon (one in the next few days, the other hopefully by the end of the week), and a third soon after.
See you in-game!
Re: Want to join the Alpha test?
Posted:
Sun Jul 12, 2009 1:49 pm
by Sinful
Sounds like what i've been waiting for
. I hope my old account is around still, cause i had a lvl 14 something or another... C'ya in a bit and thanks for the add.
Re: Want to join the Alpha test?
Posted:
Sun Jul 12, 2009 4:51 pm
by Snarkast
Hi,
Seems sweet =)
Can I join in on the fun too? =D
Re: Want to join the Alpha test?
Posted:
Sun Jul 12, 2009 5:33 pm
by Joe M.
you're in.
Re: Want to join the Alpha test?
Posted:
Sun Jul 12, 2009 6:03 pm
by Snarkast
Cool, thanks man =)
Re: Want to join the Alpha test?
Posted:
Sat Jul 18, 2009 3:42 pm
by Joe M.
Added. Sorry it took me a while--I was out of town with limited internet access. Have fun!


class PositionComponent : Component
A component that specifies the map position at which an entity is rendered. The z component is used to determine the render order.
<init> |
A component that specifies the map position at which an entity is rendered. The z component is used to determine the render order. PositionComponent(position: GridPoint2, z: Int = 0) |
position |
var position: GridPoint2 |
z |
var z: Int |


FAILURE: No exception caught on getting.
FAILURE: No exception caught on setting.
One could expect exceptions to be raised in the below cases, too - but Firefox doesn't
do that in most of these (I do get an exception in the first case, but that's inconsistent with not
getting it in the seconfd one).
No exception caught on getting via testCallback.
No exception caught on setting via testCallback.
No exception caught on getting via testGetBrowserProperty.
No exception caught on setting via testSetBrowserProperty.


--- layout: default title: "Standigm" subtitle: "Project" excerpt: "Standigm currently focuses on predicting new indications for existing drugs, called drug repositioning through deeply trained AI model with molecular features of drug responses and drug uses." header: overlay_image: /assets/images/banner.jpg overlay_filter: rgba(0, 20, 150, 0.5) overlay_filter_to: rgba(255, 255, 255, 0.5) --- {% include stan_page__hero.html %}


That Self regulation is not all about self control and just 1 aspect of many
note to self compulsion vs choice
Self regulation is not about avoiding or surpressing emotions
Practice of letting go....
General principles of dealing with stress
Knon when you are not in pain
Do not feel bad about feeling bad
Do not feed the monsters
Start every thought with kindess and humor
Managing negative emotion
Triggers..
Whenever i attempt mindfulness meditation i focus on my breathing and end up day dreaming xD.It allows me to briefly reflect upon my actions conemplations, emotions and productivity during the week in an honest manner. Laying out pros and cons.
Its smiliar to when i drift off sometimes(more often than i should) and focal point on lingering feelings or thoughts situations and scenarios x).
I sometimes meditate in the toliet T.T


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/How.20do.20you.20use.20Lean.20at.20command.20line.3F.html ---
Hi, I'm not liking working with the Coffee/TypeScript code of VSCode, so I'm wanting to just communicate some other way with Lean itself. How can I do this?
What exactly are you trying to do and what is unsatisfactory about VS Code? By the way, there is no coffeescript in the vscode-lean extension, only typescript and some HTML / JS for the info view...
lean -h
displays a list of command line options. If you want to write a program to communicate with Lean, then lean --server
accepts JSON commands from stdin and returrns JSON responses to stdout.
What exactly are you trying to do and what is unsatisfactory about VS Code? By the way, there is no coffeescript in the vscode-lean extension, only typescript and some HTML / JS for the info view...
I was connecting my app BananaCats as a program to send and receive the same traffic that goes to / from Lean to VSCode. However, working with the typescript got really annoying. What I would like is to create an IDE for Lean essentially, and without learning the TypeScript interface.
@Bryan Gin-ge Chen yes that's what I need
lean -h
displays a list of command line options. If you want to write a program to communicate with Lean, thenlean --server
accepts JSON commands from stdin and returrns JSON responses to stdout.
Is there any reference yet for this interface?
Sadly, the best documentation for the server mode commands and responses is the following typescript file https://github.com/leanprover/lean-client-js/blob/master/lean-client-js-core/src/server.ts . Feel free to ask if you have any questions though.
Oh, this file is also useful https://github.com/leanprover/lean-client-js/blob/master/lean-client-js-core/src/commands.ts
Thanks. So it's mostly a reverse engineering jerb. I will ask lots of questions :)
@Bryan Gin-ge Chen is there a grammar reference for Lean somewhere or is it just embedded in the main manual?
The only grammar reference for Lean that I know of is this page of the manual.
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


"Leo is a revolutionary step in the right direction for programming."―Brian Takita
"Leo is the best IDE that I have had the pleasure to use. It has totally changed not only the way that I program, but also the way that I store and organize all of the information that I need for the job that I do."―Ian Mulvany
"When first I opened Leo, it was out of curiosity. But having used it, I'll never go back. They'll have to pry Leo out of my cold, dead fingers!"―Travers A. Hough
Leo is a PIM, IDE and outliner that accelerates the work flow of programmers, authors and web designers. Outline nodes may appear in more than one place, allowing multiple organizations of data within a single outline.
Joe Orr's must see demo.
A brief summary of Leo.
What people are saying about Leo.
Learn about Leo in 20 minutes.
Ask us anything at the
leo-editor Google Group.
Send us a postcard, telling how you use Leo. Thanks!
Here is reduced screenshot of Leo's main window. You can view the full-sized image using something like "view image" in your browser.


This table shows how much money members of Congress have received since 2000 in direct contributions of more than $200 from gun rights and gun control advocacy groups. The "Votes" column displays how each Senator voted recently on a failed measure that would have expanded background checks for gun sales.
Source: Data analyzed for the Center for Public Integrity by the Center for Responsive Politics. Credits: Vaughn Hagerty / DFM


Notes
- Basics
- Course Readings
- Cluster Computing Resources
- Stanford
- XSEDE
- Cloud Computing
- Building a cluster
- Containers
- Docker Tutorial
- Singularity
- CodaLab
- ClusterJob (CJ)
- MATLAB jobs
- Python jobs
- R jobs
- CJ for Deep Learning
- PyTorch


---
layout: default
title: Workbook
description: "Playground - workbook."
permalink: /playground/workbook/
group: playground-project
parent: playground
lang: en
language: English
thumbnail: playground-workbook-2016-tile
order: 3
---
{% include image50vw.html basename="playground-workbook-2016-01" alt="playground workbook 2016" %}
{% include image50vw.html basename="playground-workbook-2016-02" alt="playground workbook 2016" %}
{% include image50vw.html basename="playground-workbook-2016-03" alt="playground workbook 2016" %}
{% include image50vw.html basename="playground-workbook-2016-04" alt="playground workbook 2016" %}
{% include image50vw.html basename="playground-workbook-2016-05" alt="playground workbook 2016" %}
{% include image50vw.html basename="playground-workbook-2016-06" alt="playground workbook 2016" %}
{% include image50vw.html basename="playground-workbook-2016-07" alt="playground workbook 2016" %}
{% include image50vw.html basename="playground-workbook-2016-08" alt="playground workbook 2016" %}
{% include image100vw.html basename="playground-workbook-2016-09" alt="playground workbook 2016" %}
{% include playground-tiles.html %}


Tesla unveils its Cybertruck, with a price starting at $39,900
Can it take on the Ford F-150?
by Roberto BaldwinWith an impressive financial quarter under its belt and new factories spinning up vehicle production, Tesla is riding high. So why not keep the good times rolling by once again opening up its design studio in Hawthorne, California to fans and journalists and show off its latest product, the Cybertruck.
CEO Elon Musk took the stage to remind everyone of the company's plan to make the world a greener place, proclaiming we need sustainable energy now.
The truck didn't fare quite as well with a test of its "Tesla Armor Glass," as those broke when the volunteer threw an object at it, although Musk said "it didn't go through." The CEO seemed unruffled, and said that during earlier tests, the glass didn't break.
Musk said that the vehicle will do zero to 60 in about 2.9 seconds. But more importantly, it can tow 14,000 pounds. In demo videos, Musk showed it besting an F-150 in a tug of war, and beating a Porsche 911 off the line. He also announced three different battery ranges, with 250+, 300 or 500+ miles per charge, depending on the setup, said the truck will support 250kW charging via Superchargers and pack an air compressor on board.
Gallery: Tesla Cybertruck | 17 Photos
The design, as you can see, is anything but traditional. Tesla's design language is evident throughout and while it might not appeal to mainstream truck buyers, the Tesla crowd and those looking to haul things while reducing their carbon footprint will probably be happy to drive something that signals to the world they that care about the Earth -- and might be from the future, or at least a movie set in the future.
The starting price for this electric truck is going to be $39,900, and Tesla is taking pre-orders now with just $100 down. The sub-$40k model comes with RWD, a single motor and has the EPA-estimated 250+ miles of range, while a dual-motor AWD option ups the range to 300+ for an extra $10,000, and adding yet another $10k gets you a tri-motor AWD Cybertruck with the max towing capacity and range for just under $70,000.
Production is scheduled to begin in "late 2021," with the tri-motor option likely waiting until 2022.
In a final bit of showmanship, Musk said Tesla also made an electric ATV. A rider drove it into the truck's bed, showing off both the adaptive suspension's ability to tilt back and ease loading, as well the truck's ability to charge the similarly-styled vehicle. We didn't hear whether or not the ATV will be an option.
Earlier in the day Musk tweeted that the truck's design was inspired by the Lotus Esprit S1 from the James Bond film, The Spy Who Loved Me. In the movie, the vehicle turned into a submarine. Sadly, the Cybertruck does not have that capability.
Tesla's pickup will enter an oddly crowded field with potential competition coming from startups Rivian and Bollinger. Meanwhile, Ford has hinted at electrified trucks on the horizon, and earlier today GM's CEO confirmed plans to develop an electric truck by 2021. In fact, with every vehicle unveiling, Tesla's competition gets larger as more traditional automakers begin rolling out their own EVs.
Tesla's Cybertruck specs:
• Range: 500+ miles
• 0-60 mph acceleration: <2.9 seconds
• Towing capacity: More than 14,000 lbs
• Payload: Up to 3,500 lbs
• Vault length: 6.5 feet
• Storage capacity: 100 cubic feet of exterior, lockable storage including the vault, frunk, and sail pillars.
• Suspension: 4" in either direction
• Touchscreen size: 17"
• Body: Ultra-Hard 30X Cold-Rolled stainless steel. If there was something better, we'd use it.
• Seating capacity: Up to six adults
• Charging: Can be charged at home, at Destination Charging locations, and with our network of more than 14,000 Superchargers, including on our newest V3 technology, which is helpful for long hauls and towing.


Before Change
trained_feature_names = self.trained_pipeline.named_steps["dv"].get_feature_names()
if model_name == "LogisticRegression":
print("trained_feature_names")
print(trained_feature_names)
trained_coefficients = self.trained_pipeline.named_steps["final_model"].model.coef_[0]
print("trained_coefficients")
print(trained_coefficients)
After Change
summary_tuple = (feature_name, trained_coefficients[col_idx], potential_impact)
feature_summary.append(summary_tuple)
sorted_feature_summary = sorted(feature_summary, key=lambda x: x[2])
for summary in sorted_feature_summary:
print(summary[0] + ": " + str(summary[1]))
print("The potential impact of this feature is: " + str(summary[2]))
else:
ppl.fit(X, y)
self.trained_pipeline = ppl


Another counterintuitive concept that arises with implications is their negation. The negation, \(\sim (p \rightarrow q)\) is equivalent to the statement \(p\wedge \sim q\text{.}\) This is verified by examining their truth tables.


Some wild build up to ‘What is it that programmers are doing?’
- It is intended to help us learn how to think
Some time passes, I pick up notes around 0:35:00
A General Framework (for learning a computer language)
What are the primitive elements?
What are the means of combination?
What are the ways of putting things together?
- What are the means of abstraction?
How do we take those primitive things and build something complicated with them?
Some primitive data in LISP…
3
The number 3.
However, if we’re being very pedantic, it’s not even the number Three itself, it’s some Platonic idea of ‘what Three means’.
Still, it’s a 3.
17.4
Some representation of ‘Seventeen Point Four’
5
+
A name for the primitive method of adding things.
A name for Plato’s concept of how you add things.
What is the sum of these numbers?
( + 3 17.4 5 ) ;; -> 25.4
This is called a Combination.
A Combination consists, in general, of applying an operator to some opperands.
( + 3 17.4 5 )
^ ^-^----^
\ \_____
operator \
operands
\_____________/
combination
Note: I’m using
scheme
for code highlighting.. (it’s a lisp after all)
From these principles, we have enough to form more complex combinations.
The reason that we can get this complexity, is because the operands themselves can be combinations.
( + 3 ( * 5 6 ) 8 2 ) ;; -> 43
Little bit on Syntax
LISP uses prefix notation, meaning the operator is written to the left of the operands. It is also fully parenthesized, and the parenthesis are there to make expressions written in the language less ambiguous.
In mathematics, parentheses are often used to mean grouping, and it’s okay to sometimes leave them out, however in Lisp, you cannot leave out parenthesis, and you can not arbitrarily add them.
Putting in parenthesis always means precisely “this is an operation.” (eg. apply an operator to operands).
Really, we’re writing trees.
;; it's hard to make ascii trees.
+ ;; operator
/ \
/ \
/ \
1 *
/ \ / \
0 + 9 +
/ / \ / \
2 1 7 8 8
This is called tree accumulation
Really whats going on are we’re writing trees, and parentheses are just a way to write a two-dimensionally structure as a linear character string.
 Well, those are the primitives, eg. the Means of Combination. Let’s move on to…
The Means of Abstraction
We use DEFINE
,
(DEFINE A (+ 5 5))
(+ A A) ;; -> 625
(DEFINE B (+ A (* 5 A)))
B ;; -> 150
(* A (/ B 5)) ;; -> 55
Let’s say we want to name the general term for, ‘multiplying a number by itself’ – how would this be written?
(DEFINE (square x)
(* x x))
;; use it in a sentence..
TO SQUARE SOMETHING
(DEFINE (square x)
(* x x))
^ ^ ^
MULT IT BY ITSELF
sort of yes!
A notation for defining a procedure
However, it’s still kind of confusing. It’s not totally clear that you’re naming something.
(DEFINE SQUARE (LAMBDA (x) (* x x)))
Here, we’re clearly naming something SQUARE
.
- Lambda
is Lisp’s way of saying ‘make a procedure’
In general, we’ll be using the more concise, first form. However try to keep in mind that to the Lisp interpreter, there is no difference between the two, and in fact, what we’re asking semantically is closer to the second form.
(define square
(lambda (x) (* x x) ))
;; MAKE A PROCEDURE
;; WITH THE ARGUMENT 'X'
;; THAT RETURNS THE RESULT OF MULTIPLYING X BY X
In this 1986 lecture, the author defines this ability for an interpreter to accept either form, with one being more human-readable as… (drum roll)
Syntactic Sugar
“Having somewhat more convenient surface forms for typing something”
(DEFINE (SQUARE X) (* X X)) ;; -> SQUARE
(SQUARE 1001) ;; -> 1002001
(SQUARE (+ 5 7)) ;; -> 144
(+ (SQUARE 3) (SQUARE 4)) ;; -> 25
;; We can also use it in something more complicated.
(SQUARE (SQUARE (SQUARE 1001))) ;;<PHONE_NUMBER>2...
;; And, if we just ask the definition..
SQUARE
;; #[COMPOUND-PROCEDURE SQUARE]
Two more examples of defining
(define (average x y)
(/ (+ x y) 2))
(define (mean-square x y)
(average (square x)
(square y)))
Having defined average
and square
, we can start talking about the ‘mean-square’ of something.
Having defined SQUARE
, it can be used AS IF it were a primitive. It doesn’t matter whether it was something built into the language, or something that we ourselves have defined.
This is a key thing in Lisp.
The things you construct have all the power and flexibility as if they were primitives.
+
;; #[COMPOUND-PROCEDURE +]
You should not be able to tell, in general, between things that are built in, and things that are compound. Why? Because the things that are compound have been wrapped in an abstraction.
Example: Absolute Value Function
This is what’s called a Case Analysis
{ -x for x < 0 } abs(x) = { 0 for x = 0 } { x for x > 0 }(DEFINE (ABS X)
(COND ((< X 0) (- X)) ;; clauses for COND
((= X 0) 0)
((> X 0) X)))
-
is a subtraction OR negation operator (depending on # args)
(define (abs x)
(if (< x 0)
(- x)
x))
This form is essentially the same. Either can be thought of as syntactic sugar.
Which/When of DEFINE
You might use DEFINE
slightly differently depending on whether or not you’re defining a procedure.
(DEFINE (SQUARE X) (* X X))
;; or
(DEFINE SQUARE (LAMBDA (X) (* X X)))
The first is a kind of special, but probably more common case, for defining procedures. The second can be thought of as ‘Define the symbol SQUARE
‘
Yup. // TODO: wtf.
NOTES: - are there any structural differences between the two? - are there any concerns to do with memory, performance, etc.? - is the first one a Lambda function?
A little more on that whole thing…
;; this is sort of -definition- vs -expression-
(define a (* 5 5))
(define (d) (* 5 5))
;; when used, results..
a ;; -> 25
d ;; -> compound-procedure d
(d) ;; -> 25 (same as evocation with 0 args)
(a) ;; -> error , (25 is not an operator that can be applied)
(* a a) ;; -> 25
The Heron of Alexandria example
TO FIND AN APPROXIMATION TO SQRT(X)
- Make a guess (G)
- Improve the guess by averaging G and X/G
- Keep improving the guess until it is good enough
- Use 1 as an initial guess
A method of successive averaging. Let’s write it in Lisp!
but wait.. what it is mean ‘to try a guess for the square root of x’?
(DEFINE (TRY X)
(IF (GOOD-ENOUGH? GUESS X)
GUESS
(TRY (IMPROVE GUESS X) X)))
The next part states, in order to compute square roots..
(DEFINE (SQRT X) (TRY 1 X))
Ok but, how is a guess good enough? How do we improve a guess?
(define (improve guess x)
(average guess (/ x guess)))
(define (good-enough? guess x)
(< (abs (- (square guess) x))
.001))
- To improve, we average the guess with the quotient of dividing
x
by theguess
. - To check if it’s good enough, one way is to ask, ‘when I take this guess and square it, then subtract x, do I get a small enough number left over?’
Let’s look at the structure of that a little bit…
SQRT
- some type of module, that is defined in terms ofTRY
, etc.
`SQRT`
|
`TRY`
/ \
GOOD-ENOUGH? IMPROVE
/ \ \
ABS SQUARE AVG
But wait.. TRY
is defined in terms of GOOD-ENOUGH?
and IMPROVE
, but also in terms of TRY
again. It’s definition includes its own implementation, which may make a geometer gag.
But in a way, it must know what Trying is, in order to define what it is doing.
We can write down what this means..
(SQUARE 2)
..
(TRY 1 2)
..
(TRY (IMPROVE 1 2) 2) ;; average of 1 and 2/1 -> 1.5
...
(TRY 1.5 2)
..
(TRY (AVERAGE 1.5 (/ 2 1.5)) 2)
..
(TRY 1.3333 2)
...
(TRY 1.41667 2)
...
;; -> 1.41421568
this is constantly reducing, in a sense.
Good enough.
Recursive Definition (is what that is)
- Allows for infinite computations that go on until something is true.
(define (sqrt x)
(define (improve guess)
(average guess (/ x guess)))
(define (good-enough? guess)
(< (abs (- (square guess) x))
.001))
(define (try guess)
(if (good-enough? guess)
guess
(try (improve guess))))
(try 1))
improve
,good-enough?
andtry
are all packages inside of theSQRT
module.
This is called Block Structure.
Summarize
- What are we doing? > Expressing imperative knowledge.
| Procedures | Data | |
|---|---|---|
| Primitive Elements | + * < = | 4 15.6 |
| Means of Combination | () composition COND IF | |
| Means of Abstraction | DEFINE |
COMING UP!
- How it is… that you make a link between the procedure and the processes within the machine.
- How it is… that you use the power of Lisp to talk not only about little computations, but about more general, conventional methods of doing things.
tree accumulation.
COND
Logical Operators
(define (square-sum-larger a b c)
(cond ((and (< a b) (< a c)) (+ (* b b) (* c c)))
((and (< b a) (< b c)) (+ (* a a) (* c c)))
(else (+ (* a a) (* b b)))))
(square-sum-larger 1 2 3)
;; 13
(square-sum-larger 13 6 4)
;; 205
; Original Guess-And-Square method of finding Square Roots
(define (square x)
(* x x))
(define (sqrt-iter guess x)
(if (good-enough? guess x)
guess
(sqrt-iter (improve guess x)
x)))
(define (good-enough? guess x)
(< (abs (- (square guess) x)) 0.001))
(define (average x y)
(/ (+ x y) 2))
(define (improve guess x)
(average guess (/ x guess)))
(define (sqrt x)
(sqrt-iter 1.0 x))
(sqrt 8)


About QuestHacks
QuestHacks is a 1-day entrepreneurship-themed hackathon event hosted at Valley Christian High School.
Our team consists of high school students who are both passionate about coding and entrepreneurship. We want to share our experiences and to help foster the connections between high school coders in the Bay Area at QuestHacks.
Our mission is to provide aspiring coders and entrepreneurs with better opportunities, so they can take their project to the next level. We also want to provide the necessary skills in entrepreneurship and coding to succeed and thrive in their futures.
Schedule Detail
QuestHacks includes workshops, speaker events, and judging in a 12 hour event. We also provide 3 meals for all hackathon participants.
-
7.30 AM
Doors Open
-
8.00 - 9.00 AM
Opening Ceremony
and Breakfast -
9.00 AM
Workshop Begins
Start to build projects -
12.00 - 1.00 PM
Lunch
-
1.00 - 7.30 PM
Speakers TBD
-
7.30 - 8.30 PM
Dinner
-
9.00 PM
Workshop Concludes
-
9.00 - 11.00 PM
Presenting & Judging
-
11.00 - 11.30 PM
Prize Ceremony
-
9.00 AM
Breakfast
-
10.00 AM
Advanced SVG Animations
By Karl Groves -
11.00 AM
Presenting Work with Confidence
By Sarah Dransner -
12.00 AM
Keynote on UX & UI Design
By Ned Stark -
1.00 PM
The End
-
9.00 AM
Breakfast
-
10.00 AM
Advanced SVG Animations
By Karl Groves -
11.00 AM
Presenting Work with Confidence
By Sarah Dransner -
12.00 AM
Keynote on UX & UI Design
By Ned Stark -
1.00 PM
The End
Our Team
Tevin Wang
Director
Bharat Kathi
Assistant Director
Spencer He
Operations & Logistics
Cathy Chang
Sponsorships & PR
Brad Zeng
Technology
Leon Yee
Marketing
Alex Gu
Finance
Lillian Hao
Assistant Marketing
Jennifer Song
Assistant Technology
Yitian Li
Assistant Operations & Logistics
Jonathan Xia
Assistant Sponsorships & PR
Our Speakers
We are currently in process of contacting potential speakers. If you would like to speak at QuestHacks please scroll down to the contacts section.
VENUE
Conservatory Hall
100 Skyway Dr, San Jose CA 95111
Conservatory Hall in Valley Christian High School. Used for school events, concerts, and much more.
Our Goals
INTERACT
- Promote the interaction between Valley Christian and other Bay area HS students.
- Discover skillful coders in the Bay Area.
- Provide opportunities for relationships between companies and talented students.
EDUCATE
- Teach participants skills related to programming and entrepreneurship.
- Help participants gain experience through real world applications.
- Allow participants to practice and apply presentational skills.
INCUBATE
- Take participants' projects to the next level.
- Provide best projects with resources to continue development.
- Allow gifted participants to have access to mentors/guidance for their projects.
Register for QuestHacks
QuestHacks is currently open to registration. QuestHacks is completely free. We are currently only accepting High School students in the Bay Area. If you match this criteria, you are able to participate in QuestHacks.
FAQ
Many people have questions about QuestHacks. Here are those answers.
Our Sponsors
We are currently looking for potential sponsors. If you are looking to sponsor us, please scroll down the contact section.
Link to Sponsorship PlanContact Us
If you have any inquiries, you can contact us here, or by email at info@questhacks.org


Examples
This repo has significantly expanded the set of Examples from the mleibman repo
Basic Use
Basic use with minimal configuration
Adding some formatting
Handling events and context menu
Highlighting and flashing cells
Editing
Making it editable
Writing compound editors
Implementing Undo
Using a CompositeEditor to implement detached item edit form
Layout
Using pre-compiled micro-templates to render cells
Spreadsheet: cell range selection, copy’n’paste and Excel-style formula editor
No vertical scrolling
Filling the whole window
Colspan
Grid auto-resize on browser resize
Data-Centric
Implementing a totals row via a data provider
(most comprehensive)
Using a filtered data view to drive the grid
Optimizing DataView for 500’000 rows
Optimizing DataView for updates
AJAX-loading data with search
AJAX-loading data, second example
Sorting by an index, getItem method
Using fixed header row for quick filters
Multi-column sorting
Using dataItemColumnValueExtractor option to specify a custom column value extractor
Grouping
Interactive grouping and aggregates
.
Adding tree functionality (expand/collapse) to the grid
Other Features
Explicit initialization
Row selection & reordering
Using background post-rendering to add graphs
Background post-rendering with async cleanup
Bootstrap, Dynamic Grids and Third Party component editors
Putting multiple grids on a page
With Bootstrap 3 header
SlickGrid inside jQuery Accordion
Dynamically created SlickGrid inside jQuery tabs
Dynamically created SlickGrid with DataView and filtering, inside jQuery tabs
jQuery Autocomplete editor
Select2 javascript drop-down editor
Plugins
Plugin: Checkbox row selectors with CheckboxSelectColumn plugin
Plugin: Column header buttons
Plugin: Column header menu
Plugin: Auto tooltips


title=The Last 2 Crazy Months date=2009-11-12 type=post tags=blog status=published ~~~~~~
What a busy couple of months!
I started last month (from October 2nd to the 11th) at the Java2Days conference in Sofia, Bulgaria. I gave three talks on Spring and JSF, Spring and jBPM, and Spring Integration (the Spring ESB-like framework). I think the slides will be available there in shortly. Meanwhile, here are some photos of the event below, though you're encouraged to log in to Facebook and check out the full galleries there.
The name of the gentleman on the far left escapes me, but that's John Lewis, Emo, and yours truly on the right |
From left to right: Ivo Penev, Gisele Consoline, Rob Harrop, yours truly, John Willis, and Heath Kesler |
I had a great time at the conference. The audience was great the discussions great, too. The drinking was good, too! :-)
At some point, I got some sort of stomach bug (perhaps in Greece?) and when I returned home, I was severely dehyrdated. I spent a little time hooked up to an IV and then spent the subsequent week pounding antibiotics, gatorade, and soup. There's a thousand ways to get sick, only one way to get better!
After that, I got deep into the final edits for my book "Spring Enterprise Recipes." Really enjoyed that process - it's fascinating to see what goes into writing a book. Trust me, the book is far better for the effort of the amazing editors at Apress! :-)
I spoke at the Pasadena Java User Group on using Spring Integration - that crowd was very cool and the discussion that ensued was also good.
Recently, my sister got hitched. I wish her, and her husband, many happy days together.
I think that wraps up the highlights. I'll start chiming in more frequently. A lot has happened of late, including the debut of Google's Go programming language, The Motorola Droid, the continued standoff between Sun/Oracle and the European Union over objections to Oracle's accquisition of MySQL, and more. Exciting times...


An example task manager to demonstrate how to perform data synchronisation with AeroGear Data Sync powered by Voyager GraphQL
An example to demonstrate how to perform user profile management with AeroGear Identity Management Service powered by Keycloak
An example to demonstrate how to synchronise binary data with AeroGear Data Sync powered by Voyager GraphQL
Application Settings
Information about this application


Great Forest [ao24], forest, in Mandoria, peasants: 196
Last updated Turn #141
Great Forest [ao24], forest, in Mandoria, peasants: 196
------------------------------------------------------------------------
13: Stack of savages [ao0v], savages, number: 25, went west.
30: The population grows by one peasant.
Routes leaving Great Forest:
North, forest, to Great Forest [an24], 8 days
Garrison [dh0u], garrison, uncontrolled, with ten undead
East, forest, to Great Forest [ao25], 8 days
Garrison [hi4j], garrison, uncontrolled, with two peasants,
one soldier
South, forest, to Great Forest [ap24], 8 days
Garrison [ib8u], garrison, uncontrolled, with ten peasants
West, mountain, to Mandor Mountains [ao23], 10 days


Functions for pump characteristics
| Name | Description |
|---|---|
| baseFlow | Base class for pump flow characteristics |
| basePower | Base class for pump power consumption characteristics |
| baseEfficiency | Base class for efficiency characteristics |
| linearFlow | Linear flow characteristic |
| quadraticFlow | Quadratic flow characteristic, including linear extrapolation |
| polynomialFlow | Polynomial flow characteristic, including linear extrapolation |
| constantEfficiency | Constant efficiency characteristic |
| linearPower | Linear power consumption characteristic |
| quadraticPower | Quadratic power consumption characteristic |


WITNESS LIST Corrections Committee (Subcommittee on Interim Charge No. 1) June 18, 2002-10:00A Interim Charge No. 1 On: Gist, Judge Larry (TDCJ-Community Justice Assistance Division) Goethals, Ron (Dallas County Community Supervision and Corrections Dept.) Henderson, Steven T. (TDCJ-Community Justice Assistance Division) Hill, Tony (TDCJ-Community Justice Assistance Division) Livingston, Brad (Texas Department of Criminal Justice) Nagy, Geraldine F. (TDCJ-Community Justice Assistance Division) Platt, Nancy H. (Harris County Community Supervision and Corrections Dept.) Rangel, Fred (Angelina County Community Supervision & Corrections Dept.) White, Bonita (TDCJ-Community Justice Assistance Division)


Review by eric lurio Hard Rain Directed by Mikael Salomon
Apparently, now that they know how to film in water, they're doing it with a vengence, first `Titanic,' and now this. Blubity blub-blub blub.
It's raining. The river, it doesn't matter which, is rising Hank(Wayne Duvall) is manning the dam and trying desperately to keep it from blowing. The Sheriff (Randy Quaid), who's been defeated for reelection, is evacuating the town. He is not a happy camper.
Meanwhile, other people are making preparations for the disaster that will surely come. Henry(Richard Dysart) and Doreen(Betty White), the comic relief, are setting bear traps to deter looters, Karen(Minnie Driver) is trying to protect the church and those stained glass windows she's been restoring from the upcoming deluge. One of the banks in the state is sending an armored car manned by Charlie(Ed Asner) and his nephew Tom(Christian Slater) to pick up the money and keep it from getting wet.
...And in a local bar, Jim(Morgan Freeman) is waiting with his cohorts Kenny(Michael Goorjian),Mr. Mehlor(Dann Florek) and Ray(Ricky Harris) to steal it.
The concept of a caper movie taking place in the middle of a natural disaster is a new one. It's one of those things where you take an idea and take it to it's most ridiculous and extreme. It usually doesn't work, but in this case it does.
The reason is character. The characters are allowed to grow and change during the melodrama, and the changing coalitions within frame of the film are fascinating. Except for Driver and Slater, you're not one hundred percent sure who to root for, something that director Mikael Salomon well understands. Freeman has to remind the audience every now and then he's one of the BAD guys.
This also allows the deputies, Phil(Peter Murnik) and Wayne(Mark Rolston), to show dramatic internal conflict.
Gobs of gooey fun...
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


Match Management System
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Web and Distributed Programing
Work by Nathan Fickett
Getting to Know Each Other
Dice Roller
Google Maps Hello World
Map Mania V1
Map Mania V2
Hosted JSON Files
JSON AJAX tutorial
Mustang-v1
Odyessy Proposal
Odyessy
Nathan Fickett
Lewis Email
My Github
Getting to Know Each Other
Dice Roller
Google Maps Hello World
Map Mania V1
Map Mania V2
Mustang V1
JSON AJAX
Hosted JSON Files
Odyssey Proposal
Select


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Library: Foundation
Package: Logging
Header: Poco/NullChannel.h
Description
The NullChannel is the /dev/null of Channels.
A NullChannel discards all information sent to it. Furthermore, its setProperty() method ignores all properties, so it the NullChannel has the nice feature that it can stand in for any other channel class in a logging configuration.
Inheritance
Direct Base Classes: Channel
All Base Classes: Channel, Configurable, RefCountedObject
Member Summary
Member Functions: log, setProperty
Inherited Functions: close, duplicate, getProperty, log, open, referenceCount, release, setProperty
Constructors
NullChannel
NullChannel();
Creates the NullChannel.
Destructor
~NullChannel
~NullChannel();
Destroys the NullChannel.
Member Functions
log
void log(
const Message & msg
);
Does nothing.
See also: Poco::Channel::log()
setProperty
void setProperty(
const std::string & name,
const std::string & value
);
Ignores both name and value.
See also: Poco::Channel::setProperty()


Welcome to your control panel!


Student Academic Record
the app is still under development due to lack of funds to get a better system and hosting of application
download apkdeveloped by Ereyomi Oluwaseyi Samuel
the app is still under development due to lack of funds to get a better system and hosting of application
download apkdeveloped by Ereyomi Oluwaseyi Samuel


Before Change
cond = 1e-5
U, log_pdet, rank = _psd_pinv_decomposed_log_pdet(cov, cond)
pinv = np.dot(U, U.T)
_, log_pdet_pinv, rank = _psd_pinv_decomposed_log_pdet(pinv, cond)
// Check that the log pseudo-determinant agrees with the sum
// of the logs of all but the smallest eigenvalue
After Change
// Set cond so that the lowest eigenvalue is below the cutoff
cond = 1e-5
psd = _PSD(cov, cond=cond)
psd_pinv = _PSD(psd.pinv, cond=cond)
// Check that the log pseudo-determinant agrees with the sum
// of the logs of all but the smallest eigenvalue
assert_allclose(psd.log_pdet, np.sum(np.log(s[:-1])))


|
darts-engines
|
Variables | |
| std::vector< value_t > | engine_base::X |
| vector of unknowns in the current timestep | |
| std::vector< value_t > | engine_base::Xn |
| vector of unknowns in the previous timestep | |
| value_t | engine_base::t |
| current timestep | |
| conn_mesh * | engine_base::mesh |
| pointer to mesh | |
| sim_params * | engine_base::params |
| simulation parameters | |
| sim_stat | engine_base::stat |
| simulation statistics | |
| std::vector< ms_well * > | engine_base::wells |
| vector of wells | |
| std::unordered_map< std::string, std::vector< value_t > > | engine_base::time_data |
| unsorted map containing well information (BHP, rates) | |
Parameters in base engine class exposed to Python


How far can you make it before you crash into a snow pillar?
Use the arrow keys to navigate the snowy landscape:
- Press the "UP" arrow key to jump
- Press the "LEFT" arrow key to move left
- Press the "RIGHT" arrow key to move right
- Press the "DOWN" arrow key to move down
Collect the orange "balls of warmth" for extra points.
Select the "Story" button to learn about game.
Select the "Length" button to set how long you would like to play the game.
Otherwise, the game will go on until you hit an obstacle.


DDS is the Domestic Data Service, one of the NWS Family of Services. The data in this feed cover the US, Canada, and Mexico. The products are ASCII text files.
The DDS products include surface reports, upper-air data, radar, PIBAL's, pilot reports, SIGMET's, buoy reports, oceanographic data, city forecasts, and FOUS guidance. Many of these reports are coded.
From the IDD, these products are no longer a separate feed but are part of the 'IDS|DDPLUS' stream that is created from the NOAAport text products.
Use of this feedtype will be deprecated after a transition to the NOAAport NTEXT feedtype.
PPS is the Public Products Service, one of the NWS Family of Services. The data in this feed cover the US, Canada, and Mexico. The products are ASCII text files.
The PPS products include watches and
warnings, hydrology, agricultural forecasts, air quality indices,
earthquakes, national weather summaries,
recreation reports, record reports, road conditions, and extended forecasts.
Most of these reports are presented in plain English.
From the IDD, these products are no longer a separate feed but are part of the 'IDS|DDPLUS' stream that is created from the NOAAport text products.
Use of this feedtype will be deprecated after a transition to the NOAAport NTEXT feedtype.
One of the NWS Family of Services (FOS) data streams, IDS is primarily comprised of text bulletins containing weather information or observations from outside of the United States.
From the IDD, these products are no longer a separate feed but are part of the 'IDS|DDPLUS' stream that is created from the NOAAport text products.
Use of this feedtype will be deprecated after a transition to the NOAAport NTEXT feedtype.


|
| |
674
|
|
Oracle Performance Tuning and Optimization
by Edward Whalen
Sams, Macmillan Computer Publishing
ISBN: 067230886x Pub Date: 04/01/96
|
22
1000
Three-Tiered System
The three-tiered client/server system uses the same client configuration as the two-tiered model but pushes some of the application logic away from the server and onto another machine. This third machine is sometimes known as an application server (see Figure 33.6). The application server is responsible for running much of the application code related to the server, freeing the server to handle RDBMS activities.
Figure 33.6 The three-tiered client/server configuration.
There are several benefits from moving the application away from the server:
- Better performance. By splitting the application and RDBMS processing onto separate machines, each can be tuned for their specialty.
- Reduced contention. In this model, because you do not need as many SQL*Net connections into the database server, contention may be reduced.
- Resource reduction. Because there are fewer SQL*Net connections into the database server, memory consumption on the server is reduced.
- More flexibility. Because the application is removed from the server, there is more configuration flexibility: You are not limited to one application server.
- Increased control. Because the application servers are handling requests from the users, queuing can be used to control the access to the database server.
- Functional separation. By separating the function of the database server from the application server, each can be maintained and serviced separately. Multiple application servers and database servers can provide for redundancy.
NOTE: These reasons lead me to believe that the three-tiered architecture will become more predominant in large installations with large applications. Some applications such as SAP financial systems are already taking advantage of the three-tiered architecture. Other applications such as Transaction Monitors have been in use for many years, making applications three tiered.
Client Bottlenecks
Now that the client has been defined, you can determine what affects the performance of the client system. The client system is responsible for running the client application and presenting the results to the user. The client application consists of the following parts:
- Network connection. This consists of the physical layer, the OS layer, and the SQL*Net layer. The SQL*Net layer may be shared with ODBC.
- Application. This is the part of the application that does the computation or processing of data.
- Presentation services. This part of the application is responsible for presenting the finished data to the user in the desired form.
Any of these areas can cause a bottleneck in the client system. The following sections look at these areas and determine what components can affect performance.
Network Performance
The performance of the network itself is usually not a problem for the client. The operating system vendors and Oracle have optimized their network components. There may be a problem, however, in exceeding the limits of the physical components. Judge this possibility on a case-to-case basis. Here are a few things you can look for to make this determination:
- Do you have out-of-date network components? If you are running on a Pentium client and using an 8-bit network card, consider upgrading.
- Is there an extreme amount of traffic on the network? By using a network analyzer, you can determine if you are reaching the limits of your network.
- Do other network activities seem sluggish? If the network seems slow with other activities, you may have a problem such as bandwidth that has been exceeded or too many collisions.
Typically, the network is not a problem; however, if any of these symptoms exist, you may want to take action by upgrading network components.
Application Performance
The application can be the cause of a bottleneck if it is not properly designed and tuned. Many older development tools were very inefficient and slow. By developing an optimized application, performance can be greatly enhanced. Here are some ways to determine whether your application is a bottleneck:
- Is the application compiled or interpreted? Compiled applications typically have less overhead and run faster.
- Does the client take more time to process than the server? By timestamping the application, you can determine how much time is spent in the application and how much time is spent waiting for the server.
- Does the application seem sluggish? Do simple operations such as data input seem too slow? If so, maybe the application is inefficient or the client hardware is insufficient for the task.
- Are the SQL statements efficient? Use SQL Trace and EXPLAIN PLAN to check the efficiency of these statements.
- Do other users have the same problem? Because the application is deployed to many clients, do they all see the problem or is it local to certain users? If only certain users have the problem, this may indicate that a specific client is at fault.
By making a determination about how efficient the application is, you may be able to determine whether it is the cause of the bottleneck.
55e
|


Tabs
Dynamic tabbed interfaces.
Key facts
- Property ID: HG328e91UA
- Property type: Studio, House
- Year built: 2015
- Lot size: 1,328 sq.m.
- Bedrooms: 2
- Bathrooms: 1.5
- Kitchen: 1
- Living room: 3
Last 30 days:
920 page views
Since listed:
471 page views
This extremely spacious two/three bedroom duplex apartment occupies a desirable position to the South-West of Harrogate's town centre and offers a huge amount of scope to update and re-model to suit the individual including a large eaves storage room
ripe for conversion into a second bathroom.
Accessed via a communal hall up to the first floor, the apartment opens into a split level hall. To the front elevation there is a lovely, light and airy lounge with far reaching views towards the town centre and countryside beyond. Adjoining there is
a well proportioned double bedroom with a fitted wardrobe.
Some Text


NAME
ng_cc
- The Ninf-G Client compiler
SYNOPSIS
ng_cc [compiler options]
DESCRIPTION
The ng_cc is a script that wraps the compiler and linker. It generates Ninf-G Client programs by compiling and linking application programs.
Options and arguments for the compiler and linker can be written on the ng_cc command line. Those are passed to the compiler and linker used in ng_cc .
For example, executing the following command will to generate Ninf-G Client(test_client) from the test_client.c application program using the default (C language) compiler and linker.
% ng_cc -g -o test_client test_client.c
The default compiler and linker used by ng_cc is the C compiler and linker, cc. If the application program is written in C and the cc compiler and linker is used, executing the ng_cc command will create an Ninf-G Client.
A compiler and linker other than cc can be used by setting the NG_COMPILER and NG_LINKER environment variables to specify the compiler and linker to be used by ng_cc.
Note: Mixed utilization of off_t and other file size related data
types may cause mismatch of data size.
By default, ng_cc uses large file option such as
_FILE_OFFSET_BITS=64 (on Linux) as its compile option.
Thus, the size of off_t type compiled by ng_cc may differ from the
size of off_t type compiled by non ng_cc command.
ERRORS
If the compiling of the application program fails,
the compiler error message is output.
last update : $Date: 2008/03/12 09:07:12 $


---
creation_epoch:<PHONE_NUMBER>
lastmod_epoch:<PHONE_NUMBER>
categories: Programming
title: How to build an Android ROM from source
---
You can find many useful details on Google's official site at http://source.android.com/source/. They have updated a lot if it recently and those steps are basically all the ones I used.
What I used:
- Ubuntu Server 11.04 AMD64
- Installed onto ProxMox VM
- Fully Virtualized (KVM)
- 8 CPU sockets, 1 core / socket
- 4GiB memory
- 160GB SCSI disk
- 2 NICs, one internal VLAN, one Internet VLAN (external router with NAT)
- CD-ROM pointing to ISO for installer
OS Setup
- Installed Ubuntu
- Created "android" user
- Has sudo access
- SSH public key login
- Used for building, could be anything really
- Setup Internet connectivity
- sudo apt-get update
- sudo apt-get upgrade
- sudo /sbin/reboot
- uname -a
- Mine shows "Linux linux-android-64bit 2.6.38-8-server #42-Ubuntu SMP Mon Apr 11 03:49:04 UTC 2011 x86_64 x86_64 x86_64 GNU/Linux"
Compiler Tools
- sudo apt-get install gcc g++ gcc-multilib g++-multilib
- gcc --version
- gcc (Ubuntu/Linaro 4.5.2-8ubuntu4) 4.5.2
- g++ --version
- g++ (Ubuntu/Linaro 4.5.2-8ubuntu4) 4.5.2
- perl --version
- This is perl, v5.10.1 (*) built for x86_64-linux-gnu-thread-multi
Android Build Tools and Environment
- Just use the command from "Installing required packages" at http://source.android.com/source/initializing.html
-
sudo apt-get install git-core gnupg flex bison gperf build-essential zip curl zlib1g-dev libc6-dev lib32ncurses5-dev ia32-libs x11proto-core-dev libx11-dev lib32readline5-dev lib32z-dev libgl1-mesa-dev g++-multilib mingw32 tofrodos python-markdown libxml2-utils
- mkdir ~/bin
- PATH=~/bin:$PATH
- You may wish to place this in your ~/.bashrc or other startup script
- curl https://dl-ssl.google.com/dl/googlesource/git-repo/repo > ~/bin/repo
- chmod a+x ~/bin/repo
- sudo apt-get install default-jdk
- python --version
Android Source
- mkdir ~/ANDROID_WORKING_DIRECTORY
- cd ~/ANDROID_WORKING_DIRECTORY
- repo init -u https://android.googlesource.com/platform/manifest
- You did remeber to set your path, right?
- For a different branch: repo init -u https://android.googlesource.com/platform/manifest -b android-2.3.7_r1
- repo sync
- "The initial sync operation will take an hour or more to complete" when pulling down master
Compiling
- cd ~/ANDROID_WORKING_DIRECTORY
- source build/envsetup.sh
- lunch full-eng
- For building emulator rom, see Android source site
- make -j8
Running
This is for running on an emulator. See later sections for other devices.
- make -j8 sdk
- Copy the system.img, ramdisk.img, and userdata.img files in ~/ANDROID_WORKING_DIRECTORY/out/target/product/generic to a machine with a GUI and the Android SDK installed
- On the machine with the Android SDK run the emulator with
- android-sdk-windows\tools\emulator -system system.img -ramdisk ramdisk.img -data userdata.img
- Update the paths accordingly
- Optionally if the machine you are building on has a GUI you can just run "emulator" and by default it will load the latest build images for you
Building for specific hardware device
For run instructions on how to flash and run see Run It on source.android.com
HTC Hero CDMA
Todo, writeup
todo, more


Does Megatron’s ability mean he can hold three Weapons?
Yes. He can have a Weapon in his Weapon slot as well as Weapons in his Armor and/or Utility slots.
If I play a Weapon on Megatron, do I have to choose which slot it’s going in?
No. As long as Megatron can hold all the Upgrades attached to him, you don’t have to specify which
slot anything is in. For example, if Megatron has two Weapons and a Utility, and you play an Armor onto
him, you can choose at that time which Weapon it will replace.
When Megatron flips to alt mode, can he keep all his Weapons?
Yes. The bot mode ability applies only to how the Weapons are put on Megatron.


Humans are lazy by nature (there is a chance that someone is reading this post right now to avoid picking-up the next Jira ticket, for example). It is too easy to lock ourselves inside our knowledge silos and keep doing the same thing. Maybe you need a routine and predictability, maybe you think you do well this one thing.
Whatever the reason, it is fine. Because at the same time, humans are curious by nature too. You are probably reading this blog because you want to know more about Swift on the server-side, or because you are a mobile developer and wants to know more how back-end works.
I have been involved in Swift for server-side for quite some time, first with Zewo and then following the work of Vapor, Swift Server Work Group and SwiftNIO. And what I have seen lately is a lack of examples and people talking about patterns.
We have plenty of resources about Swift, but so far the actual talk about how to deal with SwiftNIO’s Futures & Promises, how to deal with the ORMs and so on are restricted to GitHub issues, Discord and Slack channels and unit tests of the libraries and frameworks.
This blog stars here with the idea of showing some explorations in this theme and a way to give more awareness of the raising Swift server-side community.


{% extends "account/base.html" %} {% load i18n %} {% load socialaccount %} {% load crispy_forms_tags %} {% block head_title %}{% trans "Sign In" %}{% endblock %} {% block inner %} {% get_providers as socialaccount_providers %} {% if socialaccount_providers %}
{% trans "The course you wish to enroll in has been funded by the European Union and the Polish government. The university which created the course is therefore obliged to register its participants." %}
{% trans "You will be redirected to the registration form in a moment, but in order to fill it in, you must have an account on Navoica.pl.All personal data included in the registration form will be gathered and processed by the course organiser - the university." %}
{% blocktrans %}If you have not created an account yet, then please sign up first.{% endblocktrans %}
{% endif %} {% endblock %}


Jacob Wang
Thread.sleep
(or any kind of real clock) leads to
long-running and flaky testsIn the beginning, there is java.lang.Thread
new Thread(r: Runnable)
creates a new
JVM thread, backed by a native OS thread
thread.run()
executes the
RunnableThread.sleep()
suspends the current
thread’s execution, and OS schedules other threads to runA few worker threads take from a queue of Runnables and execute them
ExecutionContext
is Scala’s own simpler interface for
the same idea
trait ScheduledExecutorService extends ExecutorService {
// Simplified, delay in nanoseconds
def schedule(runnable: Runnable, delay: Long): Unit
}
Thread.sleep
continuously
java.util.concurrent.ScheduledThreadPoolExecutor
Can we write a ScheduledExecutorService
that doesn’t use
sleep nor run anything, but instead just record the
Runnables and when it should be run?
class ControlledScheduledExecutorService extends ScheduledExecutorService {
private var currentTime: Long = 0
private var allTasks: SortedSet[Task] = SortedSet.empty // sorted by runAt
override def schedule(runnable: Runnable, delay: Long): Unit = {
allTasks = allTasks :+ Task(runnable, currentTime + delay)
}
}
Since no OS thread nor scheduling are involved, we have total control over what to run and when to run it
class ControlledScheduledExecutorService extends ScheduledExecutorService {
private var currentTime: Long = 0
private var allTasks: SortedSet[Task] = SortedSet.empty // sorted by runAt
override def schedule(runnable: Runnable, delay: Long): Unit = // ...
// Move clock forward and run any Runnables that should happen during this period
def tick(elapseTime: Long) = {
currentTime = currentTime + elapseTime
var nextTask = allTasks.findAndRemove(_.runAt <= currentTime)
while (nextTask.nonEmpty) {
nextTask.get.runnable.run()
nextTask = allTasks.findAndRemove(_.runAt <= currentTime)
}
}
}
val ctx = new ControlledScheduledExecutorService
ctx.schedule(
new Runnable { def run() = println("Warped!") },
1000
)
// Nothing happens until we "tick" to the right time
ctx.tick(200)
ctx.tick(300)
ctx.tick(500) // "Warped!"
Almost all effect libraries / Futures ultimately ends up as Runnables being submitted to thread pools.
implicit val ec: ExecutionContext = ...
Future {
1 + 1 // 1
}.map { res =>
println(res) // 2
}
// Eventually translates to something like...
ec.execute(new Runnable {
def run() = {
val res = 1 + 1 // 1
ec.execute(new Runnable { // submit the "next step" back to the EC
def run() = {
println(res) // 2
}
})
}
})
TestContext
is one implementation of controlled thread
pool / scheduler
cats-effect-laws
library dependency val testCtx = cats.effect.laws.util.TestContext() // TestContext <: ExecutionContext
implicit val ctxShift: ContextShift[IO] = testCtx.ioContextShift
implicit val timer: Timer[IO] = testCtx.ioTimer
val appLogic = for { // Step 1 Define the IO
_ <- IO { println("hi!") }
_ <- IO.sleep(100.days)
_ <- IO { println("I have awakened!") }
}
// execute our IO in the TestContext
ctxShift.evalOn(testCtx)(appLogic).unsafeRunAsyncAndForget() // Step 2 "run" the IO
println("Ticking 50 days..") // Step 3 time-warp!
testCtx.tick(50.days) // "hi!" printed here
println("Ticking another 50 days..")
testCtx.tick(50.days) // "I have awakened!" is printed
How to structure our time-sensitive tests?
val testContext = TestContext()
implicit val contextShift: ContextShift[IO] = testContext.ioContextShift
implicit val timer = testContext.ioTimer
val appLogic: IO[Unit] = ??? // Step 1: Define Logic and Assertions
val assertions: IO[Unit] = for {
_ <- IO.sleep(5.seconds)
_ <- assertState(state1)
_ <- IO.sleep(5.seconds)
_ <- assertState(state2)
} yield succeed
// Step 2: Run it with test "framework" (reusable across test suites)
val test = for {
fibre <- appLogic.start // forks the app logic into the background
_ <- IO.sleep(1.nanos) // very small delay to ensure assertions
// always run after app logic has happened
_ <- assertions.guarantee(fibre.cancel)
} yield succeed
// Step 3: "Execute" the test
val f: Future[Assertion] = cotextShift.evalOn(testContext)(test).unsafeToFuture()
// Actually execute all the app logic and assertions
// Note that assertions will terminate the appLogic when it is done
// so that this works for infinitely repeating app logic too
testContext.tick(1000.days)
Future{..}/future.map
, etc etcCompletableFuture
too ;)


 With accents as thick as the dark Irish brew that they drink, the men in a remote town in the northwest Irish county of Donegal lust for some real women, believing the locals are not worth their time. Actually, neither the men nor the women of the village look exactly like prizes.
In an attempt to get an answer to their dreams, the single men put an advertisement in the Miami Herald to lure some American women "in the age range of 20 to 21." After that they wait daily at the bus stop for the loads of women to arrive. Needless to say -- you guessed it -- they don't show up.
Meanwhile, the women outsmart the men by going after their own foreigners -- a group of Spanish fishermen who are already in town.
Typical of the town's inhabitants is Kieran (Ian Hart), it's alcoholic butcher. Kieran, who constantly scratches his crotch while conversing with women, thinks that all he needs to do is bleach his hair blonde in order to be irresistible to the American women soon to arrive. Described in voice-over as a man with "the constitution of an ox and the wits to match," he has the social graces of a farm animal. And he is the leader of the local bachelors.
The village priest (Risteard Cooper) kind of likes the idea of the ad. As one of the parishioners points out to him, he has performed lots of funerals but not a single marriage. He assures the men that he knows the wedding ceremony.
The admittedly good-spirited story rambles like a guy telling a long joke that doesn't have a punch line. As you watch the film, you're likely to feel that you've seen it all before but that it was better last time.
The predictable message of the movie is straight from the WIZARD OF OZ: "There's no place like home."
 It is rated PG-13 for brief language and some sexual material and would be fine for kids around 10 and up.
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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
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A few years ago my friend posted a quote about procrastination:
The work you do while you procrastinate is probably the work you should be doing for the rest of your life. –Jessica Hische
Upon first read the concept was interesting, but it’s full weight didn’t hit me until much later. I think the delayed reaction was due to my professional youth – at the time I was earning spurs on my first national brand and consuming knowledge from my veteran boss like a dry sponge. The specificity of the industry (marketing) was far less important to me than the unique opportunities I had to carry more responsibility than normal for my age.
After a good while, though, my rate of absorption began to slow. As a wise man once said, “in this department of life, as in every other, thrills come at the beginning and do not last.”
While I still thoroughly enjoyed my day-to-day responsibilities, a flattened learning curve afforded me more time to expand my reading and thinking about marketing, business, and more. Interestingly, my curiosity led me mostly towards the internet, technology, and entrepreneurship.
Hacker News and WIRED became regular reads, I began grabbing lunch with startup addicts like Dodd Caldwell. I even started teaching myself basic HTML.
I also channeled my off-hours energy (and learning) into attempts to start a few companies. I began to scan my day-to-day experiences for annoyances or problems that I thought technology could iron out. At the time, I also happened to live with one of the most talented developers I’ve ever met, and he was happy for a few new challenges to tackle.
In about a years’ time, we both began and killed a rental payment web app and a wedding website service. (It was awesomely deflating to see Wordpress release a phenomenal wedding product not too long after we started writing code.)
Around that same time a friend told me that he heard about an extra volunteer spot at a sold-out conference called GROK. I knew that some of the brightest minds in the country gather there to talk about technology, design, and the internet, so I was thrilled to take him up.
GROK did two very important things for me: First, it fully confirmed my passion for the industry, giving me clear direction for my next career move.
Second, it introduced me to a few gentleman named Matthew Smith and Peter Barth, who would later provide the opportunity for that career move.
In different spheres, both had been forging a foundation of design and technology in the Upstate, Matthew through gathering some of the top talent in the nation and forming CoWork, and Peter through a startup accelerator called The Next Big Thing.
When our paths crossed at GROK, it just so happens that they were talking about combining forces to form a single organization that shared resources, collaboration, and talent to better position our community as the place for all things tech in the Southeast.
It also just so happens that they needed another team member to manage both execution and promotion of their programs.
At that point, though, the merger was still an idea over lunch. But lunches turned into meetings, and meetings turned into branding work, and The Iron Yard was born, along with an offer for yours truly.
In November my procrastination will turn into my paycheck, and I couldn’t be more excited.


This is a Django package which implements both an OpenID server and an OpenID consumer. These examples are provided with the OpenID library so you can learn how to use it in your own applications.
To begin, click one of these links:
Note: If you want to test the example consumer using the example server, you must start a separate server process for each application.


The SoS are provided "as is". In no event shall Akventa be liable for any collateral, indirect, incidental, exemplary or consequential damages caused by the SoS or in connection with the use of the SoS.
These Terms shall be governed by the laws of Sweden and any objection or related case shall be brought before the
Swedish courts, if the parties cannot agree on another solution.


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Ryan Ellingson
About
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Jordan Rudess
Keyboardist
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James LaBrie
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The GStreamer Bad Plug-ins package contains a set a set of plug-ins that aren't up to par compared to the rest. They might be close to being good quality, but they're missing something - be it a good code review, some documentation, a set of tests, a real live maintainer, or some actual wide use. Also see the gst-plugins-good-0.10.31, gst-plugins-ugly-0.10.19 and gst-ffmpeg-0.10.13 packages.
This package is known to build and work properly using an LFS-7.6 platform.
GStreamer 1.0 series is not API or ABI compatible with GStreamer 0.10 series and both can be installed on the same system.
Download (HTTP): http://gstreamer.freedesktop.org/src/gst-plugins-bad/gst-plugins-bad-0.10.23.tar.xz
Download MD5 sum: e4822fa2cc933768e2998311a1565979
Download size: 3.1 MB
Estimated disk space required: 140 MB (depending on which optional dependencies are fulfilled)
Estimated build time: 2.0 SBU
FAAC-1.28, libpng-1.6.13, libvpx-1.3.0, OpenSSL-1.0.1i and XviD-1.3.3
cURL-7.37.1, FAAD2-2.7, JasPer-1.900.1, libass-0.11.2, libmusicbrainz-2.1.5, librsvg-2.40.3, libsndfile-1.0.25, libvdpau-0.8, neon-0.30.0, SDL-1.2.15, SoundTouch-1.8.0 celt, Dirac, DirectFB, Flite, Game Music Emu, GSM, LADSPA, libcdaudio, libdc1394, libdca, libiptcdata, libkate, libmimic, libmms, libmodplug, libmpcdec, libofa, MJPEG Tools, OpenAL, ORC, rtmpdump, Schroedinger, SpanDSP, VO AACENC, VO AMRWBENC, WildMidi, ZBAR and ZVBI
User Notes: http://wiki.linuxfromscratch.org/blfs/wiki/gst-plugins-bad
If you need a plugin for a given dependency, that dependency needs to be installed before this application.
Install Gstreamer Bad Plug-ins by running the following commands:
./configure --prefix=/usr --with-gtk=3.0 --disable-examples && make
To test the results, issue: make check. Note that tests for some of the items may fail.
Now, as the root
user:
make install
--with-gtk=3.0
: Build
against GTK+ 3 instead of the
default GTK+ 2; recommended for a
GNOME Desktop.
--disable-examples
: If the
dependencies for the camera driver have been satisfied, the
associated example code fails to build.
Last updated on 2014-09-22 11:20:08 -0700


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/Lean.20maths.20in.20Orsay.html ---
Hopefully, everybody potentially interested already knows, but I'd like to make sure nobody is surprisingly around, or surprisingly interested in pure math. There will be a small Lean mathematically inclined users meeting in Orsay (near Paris) on August 27th-29th. The main idea was to capture people who will be in Dagstuhl on the preceding week but are usually on other continents. There will be Chris, Johan, Johannes, Kevin, Mario, Rob, Scott, and me. Hopefully we'll have fun with advanced math and Lean.
Are Chris and Kevin also from another continent?
they'll soon be
Johan, I guess you never went to the UK, right? I spent six months in York when I was undergrad, and I was called an "overseas student". I was "from the continent". And this was almost 15 years before Brexit.
More seriously, that part of the message was meant as an excuse for the somehow inconvenient dates. Of course I'm super happy to also have people would could come to Orsay at any time.
It is absolutely true that in this country we describe holidays in e.g. Spain as "holidays in Europe". That has been true for at least 30 years. We have an island mentality here.
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


pysnn.neuron
pysnn.neuron¶
The Neuron
is the basic and most fundamental object that is used in constructing a spiking neural network (SNN). Each new neuron
design should inherit from the BaseNeuron
class. Each Neuron
shares a set of basic functionalities/dynamics:
Internal (possibly decaying) voltage that represents recent incoming activity.
Spiking mechanism, once the voltage of the neuron surpasses its threshold value it will generate a
Boolean
spike.Refractory period/mechanism that is activated once a
Neuron
has spiked. During this period theNeuron
is incapable, or less likely, to spike again.Trace that is a numerical representation of recent activity of the
Neuron
.
-
class
pysnn.neuron.
BaseInput
(cells_shape, dt)¶ Simple feed-through layer of neurons used for generating a trace.
- Parameters
cells_shape – a list or tuple that specifies the shape of the neurons in the conventional PyTorch format, but with the batch size as the first dimension.
dt – duration of a single timestep.
-
reset_state
()¶ Reset cell states that accumulate over time during simulation.
-
no_grad
()¶ Turn off gradient storing.
-
init_neuron
()¶ Initialize state, and turn off gradients.
-
convert_input
(x)¶ Convert torch.bool input to the datatype set for arithmetics.
- Parameters
x – Input Tensor of torch.bool type.
-
forward
(x)¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
update_trace
(x)¶ Placeholder for trace update function.
-
class
pysnn.neuron.
Input
(cells_shape, dt, alpha_t, tau_t, update_type='linear')¶ Standard input neuron, used to propagate input traces to the following
Connection
object, and calculates a trace.- Parameters
cells_shape – a list or tuple that specifies the shape of the neurons in the conventional PyTorch format, but with the batch size as the first dimension.
dt – duration of a single timestep.
alpha_t – scaling constant for the increase of the trace by a single spike.
tau_t – decay parameter for the trace.
update_type – string, either
'linear'
or'exponential'
, default is'linear'
.
-
update_trace
(x)¶ Converts input spikes and updates the trace.
- Parameters
x – Tensor with the input spikes.
-
forward
(x)¶ Propagate spikes through input neurons and compute trace.
- Parameters
x – Input spikes
-
class
pysnn.neuron.
BaseNeuron
(cells_shape, thresh, v_rest, alpha_v, alpha_t, dt, duration_refrac, store_trace=False)¶ Base neuron model, is a container to define basic neuron functionalties.
Defines basic spiking, voltage and trace characteristics. Just has to adhere to the API functionalities to integrate within Connection modules.
Make sure the Neuron class receives input voltage for each neuron and returns a Tensor indicating which neurons have spiked.
- Parameters
cells_shape – a list or tuple that specifies the shape of the neurons in the conventional PyTorch format, but with the batch size as the first dimension.
thresh – spiking threshold, when the cells’ voltage surpasses this value it generates a spike.
v_rest – voltage resting value, the
Neuron
will default back to this over time or after spiking.alpha_v – scaling constant for the increase of the voltage by a single spike.
alpha_t – scaling constant for the increase of the trace by a single spike.
dt – duration of a single timestep.
duration_refrac – Number of timesteps the
Neuron
is dormant after spiking. Make suredt
fits an integer number of times induration refrac
.update_type – string, either
'linear'
or'exponential'
, default is'linear'
.store_trace –
Boolean
flag to store the complete spiking history, defaults toFalse
.
-
spiking
()¶ Return cells that are in spiking state.
-
refrac
(spikes)¶ Basic counting version of cell refractory period.
Can be overwritten in case of the need of more refined functionality.
-
concat_trace
(x)¶ Concatenate most recent timestep to the trace storage.
-
fold
(x)¶ Fold incoming spike train by summing last dimension.
-
unfold
(x)¶ Move the last dimension (all incoming to single neuron in current layer) to first dim.
This is done because PyTorch broadcasting does not support broadcasting over the last dim.
-
convert_spikes
(spikes)¶ Cast
torch.bool
spikes to datatype that is used for voltage and weights
-
reset_state
()¶ Reset cell states that accumulate over time during simulation.
-
reset_thresh
()¶ Reset threshold to initialization values, allows for different standard thresholds per neuron.
-
no_grad
()¶ Turn off learning and gradient storing.
-
init_neuron
()¶ Initialize state, parameters, and turn off gradients.
-
forward
(x)¶ Defines the computation performed at every call.
Should be overridden by all subclasses.
Note
Although the recipe for forward pass needs to be defined within this function, one should call the
Module
instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.
-
update_trace
(x)¶ Placeholder for trace update function.
-
update_voltage
(x)¶ Placeholder for voltage update function.
-
class
pysnn.neuron.
IFNeuron
(cells_shape, thresh, v_rest, alpha_v, alpha_t, dt, duration_refrac, tau_t, update_type='linear', store_trace=False)¶ Basic integrate and fire neuron, cell voltage does not decay over time.
- Parameters
cells_shape – a list or tuple that specifies the shape of the neurons in the conventional PyTorch format, but with the batch size as the first dimension.
thresh – spiking threshold, when the cells’ voltage surpasses this value it generates a spike.
v_rest – voltage resting value, the
Neuron
will default back to this over time or after spiking.alpha_v – scaling constant for the increase of the voltage by a single spike.
alpha_t – scaling constant for the increase of the trace by a single spike.
dt – duration of a single timestep.
duration_refrac – Number of timesteps the
Neuron
is dormant after spiking. Make suredt
fits an integer number of times induration refrac
.tau_t – decay parameter for the trace.
update_type – string, either
'linear'
or'exponential'
, default is'linear'
.store_trace –
Boolean
flag to store the complete spiking history, defaults toFalse
.
-
update_trace
(x)¶ - Parameters
x – Incoming/presynaptic spikes
-
update_voltage
(x)¶ - Parameters
x – Incoming/presynaptic spikes
-
forward
(x)¶ - Parameters
x – Incoming/presynaptic spikes
- Returns
Neuron output spikes and trace
-
class
pysnn.neuron.
LIFNeuron
(cells_shape, thresh, v_rest, alpha_v, alpha_t, dt, duration_refrac, tau_v, tau_t, update_type='linear', store_trace=False)¶ Leaky integrate and fire neuron, cell voltage decays over time.
- Parameters
cells_shape – a list or tuple that specifies the shape of the neurons in the conventional PyTorch format, but with the batch size as the first dimension.
thresh – spiking threshold, when the cells’ voltage surpasses this value it generates a spike.
v_rest – voltage resting value, the
Neuron
will default back to this over time or after spiking.alpha_v – scaling constant for the increase of the voltage by a single spike.
alpha_t – scaling constant for the increase of the trace by a single spike.
dt – duration of a single timestep.
duration_refrac – Number of timesteps the
Neuron
is dormant after spiking. Make suredt
fits an integer number of times induration refrac
.tau_v – decay parameter for the voltage.
tau_t – decay parameter for the trace.
update_type – string, either
'linear'
or'exponential'
, default is'linear'
.store_trace –
Boolean
flag to store the complete spiking history, defaults toFalse
.
-
update_trace
(x)¶ - Parameters
x – Incoming/presynaptic spikes
-
update_voltage
(x)¶ - Parameters
x – Incoming/presynaptic spikes
-
forward
(x)¶ - Parameters
x – Incoming/presynaptic spikes
- Returns
Neuron output spikes and trace
-
class
pysnn.neuron.
AdaptiveLIFNeuron
(cells_shape, thresh, v_rest, alpha_v, alpha_t, dt, duration_refrac, tau_v, tau_t, alpha_thresh, tau_thresh, update_type='linear', store_trace=False)¶ Adaptive leaky integrate and fire neuron.
The cell voltage decays over time, the spiking threshold adapts based on the recent spiking activity of the
Neuron
.- Parameters
cells_shape – a list or tuple that specifies the shape of the neurons in the conventional PyTorch format, but with the batch size as the first dimension.
thresh – spiking threshold, when the cells’ voltage surpasses this value it generates a spike.
v_rest – voltage resting value, the
Neuron
will default back to this over time or after spiking.alpha_v – scaling constant for the increase of the voltage by a single spike.
alpha_t – scaling constant for the increase of the trace by a single spike.
dt – duration of a single timestep.
duration_refrac – Number of timesteps the
Neuron
is dormant after spiking. Make suredt
fits an integer number of times induration refrac
.tau_v – decay parameter for the voltage.
tau_t – decay parameter for the trace.
alpha_thresh – scaling constant for the increase of the threshold by a single spike.
tau_thresh – decay parameter for the threshold.
update_type – string, either
'linear'
or'exponential'
, default is'linear'
.store_trace –
Boolean
flag to store the complete spiking history, defaults toFalse
.
-
update_trace
(x)¶ - Parameters
x – Incoming/presynaptic spikes
-
update_thresh
(x)¶ - Parameters
x – Incoming/presynaptic spikes
-
update_voltage
(x)¶ - Parameters
x – Incoming/presynaptic spikes
-
forward
(x)¶ - Parameters
x – Incoming/presynaptic spikes
- Returns
Neuron output spikes and trace
-
reset_state
()¶ Reset cell states that accumulate over time during simulation.
-
class
pysnn.neuron.
FedeNeuron
(cells_shape, thresh, v_rest, alpha_v, alpha_t, dt, duration_refrac, tau_v, tau_t, store_trace=False)¶ Leaky Integrate and Fire neuron.
Defined in “Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception - F.P. Valles, et al.”
- Parameters
cells_shape – a list or tuple that specifies the shape of the neurons in the conventional PyTorch format, but with the batch size as the first dimension.
thresh – spiking threshold, when the cells’ voltage surpasses this value it generates a spike.
v_rest – voltage resting value, the
Neuron
will default back to this over time or after spiking.alpha_v – scaling constant for the increase of the voltage by a single spike.
alpha_t – scaling constant for the increase of the trace by a single spike.
dt – duration of a single timestep.
duration_refrac – Number of timesteps the
Neuron
is dormant after spiking. Make suredt
fits an integer number of times induration refrac
.tau_v – decay parameter for the voltage.
tau_t – decay parameter for the trace.
store_trace –
Boolean
flag to store the complete spiking history, defaults toFalse
.
-
update_trace
(x)¶ - Parameters
x – Incoming/presynaptic spikes
-
update_voltage
(x, pre_trace)¶ - Parameters
x – Incoming/presynaptic spikes
pre_trace – Incoming/presynaptic trace
-
forward
(x, pre_trace)¶ - Parameters
x – Incoming/presynaptic spikes
pre_trace – Incoming/presynaptic trace
- Returns
Neuron output spikes and trace


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by
Hong Chen
What are they?
Cloud Optical Thickness ($\tau^*$)
Cloud Effective Radius ($R_e$)
Cloud Thermodynamic Phase
Why important?
Why need validation?
Insufficient knowledge about the snow/ice surface
Common occurrence of thin clouds
...


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Simple command or a shell script to run for Scheduled (cron) jobs.
Jenkins will wait this many minutes before terminating the build.
Enable junit test reports.
Path to use for junit results (e.g. build/test-results/*.xml).


Gauri Twinklerock:
Please excuse me, I'm waiting for someone. Please take your questions elsewhere!
Quest


SKY UX is the next generation of Blackbaud's user experience framework that provides a consistent, cohesive user experience for Blackbaud products. Use this section to learn how to consume and contribute to SKY UX.


---
layout: post
title: 66% man
date: '2006-08-03T16:46:00.000+02:00'
author: Steven Van Acker
tags:
modified_time: '2008-01-17T09:20:06.877+01:00'
blogger_id: tag:blogger.com,1999:blog-5513234137363262204.post-5950359380591274296
blogger_orig_url: http://www.singularity.be/2006/08/66-man.html
---
After I noticed I was out of breath much more than usual and that my lungs hurt with every breath, I decided to finally go see a doctor today.
It appears that some time ago, I had a lung infection which caused quite some damage in my lungs. The infection is now gone, but the mess it left behind is still there. The lower third of both lungs is filled with (I hope nuclear) waste, which reduces my lungcapacity quite a lot.
I have an appointment tomorrow to have scans taken of my lungs. In the meantime, I have to take all sorts of medication, and stay away from large crowds for some reason.


|
Hajj is an annual Islamic pilgrimage to Mecca, and a mandatory religious duty for Muslims that must be carried out at least once in their lifetime. There are millions of people come every year from all around the world in order to practice Hajj in Mecca. In 2012, Macca hosted the highest number of pilgrims ever and it was the hardest year for them. Therefore, the Saudi government decided to decrease number of pilgrims until they reach 1,862,909 in 2016 in order to provide a safe environment and protect them from having problems. |


Hey, I'm Taylor
I'm a software engineer from California.
I build web apps.
I noticed you don't have JavaScript enabled…
Sure enough, this website works without it.
I'm a total fan of -
all -
of -
these -
people -
but I think there exists a happy medium. Chances are you didn't come here without visiting the JavaScript console.
I drink rocket fuel
I'm a straight-up JavaScript powerhouse.
I've also spent years in agile development across many teams.
I know how to estimate my throughput to deliver above and beyond what is expected.
Point me at feature gaps if you want to fill them.
Point me at a problem areas to make them go away.
I take ownership
When a project is handed to me it becomes my baby. I'm proud of my work and do my best to encourage the same from my colleagues.
I look into the future
The JavaScript community moves fast. Real fast. That's why it's important for me to be a part of it. I'm always adding new skills to my tool belt.
I test all the things
Meaningful test coverage is crucial to ensure code does what you think it does.
I create small, dedicated modules that are perfect for testing in isolation, or mocking for other modules.
I understand how to test.
I modularize and optimize
The first step to optimizing a process is to define the moving parts.
I've had to deal with enormous projects in my profession.
The best projects to work on have clearly defined architectures, where each piece plays a clearly defined role.
When things don't make sense, I communicate with colleagues until we build a roadmap to fix it.
I designed this website
My greatest weakness as a web developer is design, but I love art.
I build corporate apps, but I like building stuff like this.
All of the images were designed as SVGs. That means each one is perfectly crisp down to the half-pixel on your retina device.
Email me or visit this project if you have any suggestions.
I understand responsive design
This website is responsive.
I'm guessing it works on your device right now.
You already noticed the crispy vector art.
Even if you turn off JavaScript this website will still work.
I'm all about making content available to users so I research the best, light-weight methods of presentation.
I've been employing flexbox
with @media
query layouts for years.
Follow this project and others on GitHub, or NPM.


| Home | About Us | Malls |
About Us
The city of Bangalore is like a shopper's paradise. Right from the inexpensive roadside goods to branded items, you can get almost anything and everything here. Bangalore is also full of shopping malls, providing shopping outlets, restaurants and kiddies corner, all under one roof. You can visit any shopping mall in the Bengalooru city of India and spend the entire day, shopping, easting and having fun. Currently, new shopping malls are springing up all over the city.


By AMP Tutorials
Dogs come when they're called. Cats take a message and get back to you. --Mary Bly
Dogs were probably the first tame animals. They have accompanied humans for some 10,000 years. Some scientists assert that all dogs, domestic and wild, share a common ancestor in the small South Asian wolf.
A bird is three things: Feathers, flight and song, And feathers are the least of these.--Marjorie Allen Seiffert
Your browser doesn't support HTML5 video.
Rabbits can learn to follow simple voice commands and come when called by name, and are curious and playful.


The cornucopia of delights that is Hooting Yard is offered to readers free of charge. That is as it should be. An unfortunate side effect, though, is that your dutiful editor lives in poverty. Really.
If you enjoy these pages, and have some disposable income (or, indeed, are a person of untold wealth), you may wish to show your appreciation by sending some money. Anyone who does so will become an official Friend Of Hooting Yard. Their names will appear on a list (unless anonymity is preferred), they will have my boundless gratitude, and I might even arrange for them to receive a certificate or badge or some other token.
Being an economically invisible member of society, I don't have an active bank account. If you wish to donate a sum, large or small, to keep the howling wolves from the doors of Haemoglobin Towers, simply copy and paste the paragraph below into an email, and I'll get right back to you.
Thank you.
Frank Key
Copy and paste this and send at once to<EMAIL_ADDRESS>[This email address is defunct —Hooting Yard Archivists]
Dear Frank
Your plea has touched my heart-strings and I am now sobbing uncontrollably.  Please, I beg of you, tell me what to do next!
Passionately yours,
[Insert your name & heraldic device - if applicable - here]
NOTE : Those few readers who were subscribers to Crunlop! have shown saintly patience, and probably think - with good reason - that I have forgotten them. I have not. Bear with me.


--- layout: archive title: Zulip Chat Archive permalink: /stream/113489-new-members/topic/Binary.20integers.20in.20lean.html ---
WRT reasoning about programs, Is there any reason to use the binary integer representations in Mathlib ala ZArith in Lean outside of reasoning about bitwise operations? It says in the comments that their use is discouraged since Lean doesn't share Coq's reliance on kernel reduction; does Lean have some evaluation strategy for making functions written with Z and N run in non-linear time? Thanks for any help!
so if you try to use norm_num
to prove that 10+11=21
for real numbers, they use bitwise addition
Lean's kernel has special optimized versions of nat and int when used with #eval
iirc
if you're trying to do meta-programming or reflection, then use zarith
Thank you.
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


About !
Hi Welcome to Music Lessons Express! The struggle is real people.
The inspiration of Music lessons came to me because of my struggle with
finding suitable and guaranteed music lessons. Music lessons Express is like the trivago of Music lessons.
This free website helps you find the most suitable music lessons for you.
It takes into consideration your perferred location, perferred price and perferred instruments.
Don't waste time and hurry on and EXPLORE!


Using "?", ask a "1+1" to computer.
It answered "2" with ENTER key. Then, how is "1+2"?
How many bowling pins are there in total?
10 pins.
What will happen if it increases by 1 column?
Using the up/left/right cursor keys, recycles a program!
Type "+5" by addition, and press ENTER key.
How is the result when adding 1 to 10 like this?
Adding from 1 to 10 at this pace, how much is the answer?
What if is adding from 1 to 100, it seems like tough!?
So, the repeating command "FOR".
Prepare the variable "A", and let's get added more and more.
Try it!
1. What is the result by adding from 1 to 12?
2. What is the result by adding from 1 to 20?
3. What is the result by adding from 1 to 200?
4. What is the result by adding from 1 to 300?
5. What is the limit of number that can calculate properly?


--- layout: page title: 关于 description: Connecting People with Information background: '/img/bg-about.jpg' ---
关于


Main requirements
Use the smallest, simplest, most built-in data possible.
- Think:
iris
ormtcars
. Bore me. - If you must make some objects, minimize their size and complexity.
- Get just a bit of something with
head()
or by indexing with the result ofsample()
. If anything is random, consider usingset.seed()
to make it repeatable. dput()
is a good way to get the code to create an object you have lying around, if you simply cannot make do with built-in or simulated data. Copy and paste the result of this into your reprex.- Look at official examples and try to write in that style. Consider adapting one.
Include commands on a strict “need to run” basis.
- Ruthlessly strip out anything unrelated to the specific matter at hand.
- Include every single command that is required, e.g. loading specific packages via
library(foo)
.
Consider including so-called “session info”, i.e. your OS and versions of R and add-on packages, if it’s conceivable that it matters.
- Use
reprex(..., si = TRUE)
for this.
Whitespace rationing is not in effect.
- Use good coding style.
- Use
reprex(..., style = TRUE)
to request automated styling of your code.
Pack it in, pack it out, and don’t take liberties with other people’s computers. You are asking people to run this code!
- Don’t start with
rm(list = ls())
. It is anti-social to clobber other people’s workspaces. - Don’t start with
setwd("C:\Users\jenny\path\that\only\I\have")
, because it won’t work on anyone else’s computer. - Don’t mask built-in functions, i.e. don’t define a new function named
c
ormean
. If you change options, store original values at the start, do your thing, then restore them:
If you create files, delete them when you’re done:
- Don’t delete files or objects that you didn’t create in the first place.
Take advantage of R’s built-in ability to create temporary files and directories. Read up on
tempfile()
andtempdir()
.