The best way to describe Sia Name Service is as a decentralized URL shortening service and a link management platform for Public Portals Publinks.
What happens is that when you assign an `.sns` domain to a Publink you automatically have a shortened URL in the form of `http[s]://[sia-name-service portal]/[domain-name].sns` (for example: http://sns.hopto.me/bigbuckbunny.sns). Additionally, if you install the browser extension you can access `.sns` domains through the browser's address bar (for example: http://bigbuckbunny.sns/ would resolve). Thirdly, the service also lets you supply a `Host: [domain].sns` header in a request to the service. This should allow someone to point their router at a personal DNS resolver that rewrites all `.sns` domains to a defined Sia Name Service portal that will then resolve the request natively (for example: http://bigbuckbunny.sns/ would resolve without needing a browser extension). Lastly, the Sia Name Service portal provides a "GO" input field that will redirect you to the Publink associated with the input field's `.sns` domain.
One of Sia Name Service's secondary missions is to provide an out-of-the-box Public Portal. The idea here is to provide a Jetty server alternative to ScPrime's official Public Portals that you can just double click on to start up. This will allow you to run a Public Portal without needing to set up an nginx webserver on your computer or fiddling with router configurations.
A latent purpose is to provide an alternative to Dapp Dapp Go's excellent Publink search engine. This is achieved by providing the /list and the /whois/bigbuckbunny.sns API endpoints. The long term goal here is to someday add a /search endpoint.
There are many browser extensions that can be installed to add native `*.sns` domain name support to a browser's address bar. One that I have tested is called Redirector and exists for both Firefox and Chrome.
Additionally, you can download this configuration file to import into the Redirector browser extension. Once configured, `*.sns` domain names such as http://bigbuckbunny.sns/ will work from your browser's address bar.
You can donate siacoin to help fund this project at: 176865262b61a961f107b1148782b0c59d4877b365f98a589e945438572b3e16ace15a2cac86


I switched to Linux
You can too
Presented by Stephen Cross
1990
Love Afair
2004
2005
2007
Love on the Rocks?
Why switch?
For me...
Apple's Direction
Professional Development
Phil Schiller - 2012
“It's the most beautiful computer we've ever made”
Mojave Min Req: MacBook Pro (Mid 2012 or newer)
2011 MBPro: Core i5 2.4Ghz
In my opinion
- Beauty over function.
- Consumer not the professional.
- Less choices.
- Disposable computers.
Technical Skills - Drupal Dev
- PHP
- Javascript
- Twig
- CSS
- Design
Modern Workflows
Local Dev - Front Build - CI - Deployment - Testing
SKILL: DevOps
Drupal and Linux
Production servers - Linux
Local Dev Enviroment - Linux (via Docker)
Thought Process
If I work in Linux...
Closer to my deployment environment.
Get comfortable (remove technology fear).
Be better at DevOps type things.
Be more valuable to your team.
Switch to Linux.
What is Linux?
- Linux is an operating system, like Mac OS and Windows
Is Linux Popular?
- Linux runs on 100% of the world’s 500 supercomputers
- 95% of the servers that run the world’s top 1 million domains are powered by Linux
- 85% of all smartphones are based on Linux
- 54.1% of professional developers use Linux as a platform in 2019
- All ATF websites run on Linux.
Linux is Everywhere
- TiVo - Roku
- Kindle
- In-car and In-flight Entertainment
- Self Driving Cars
- Smart Refrigerators
- Washing Machines
- Air Traffic Control
- U.S. Department of Defense
- Nuclear submarines
- This Presentation
If it has a computer chip
It's probably running Linux
Linus Torvalds
|
- Born 1969 - Finland
- Lives in Oregon
- Created Linux 1991
- Also created git (version control system)
|
Open Source
- Open Source
- Developed by over 200 company, many non-profit organization, thousands of developers
- Nobody owns Linux.
- Any can use and modify it
- Someone has an idea...
There's a Linux for that.
Distributions
Flexibility
Your Choice
Beefy desktop with four displays
Light weight, minimal port laptop for traveling
Laptop to have SD reader, and USB 3.0 ports
Small profile, quiet computer for a family room
Hardware
- Shipping with Linux: Dell, System76, Purism
- Ubuntu Certified hardware - https://certification.ubuntu.com/
- Revive Old hardware
System 76
System 76
- Works out of the box
- Execellent customer support
- Computer I want to use
- Time to explore, test, nuke if need to
Breaking the Chains
Choosing open-source, multi-platform apps
For me: Linux, Mac, iOS, Android, Web Browsers
Drupal Dev Apps
- Docker (Lando/DDEV) - PASS!
- Drupal VM (Virtualbox, Vagrant, Ansible) - PASS!
- IDE (PHP Storm/VS Code) - PASS!
- Sequel Pro - ?
Google & AlternativeTo.net
MS Office Apps
- LibreOffice - Open Source
- Reads and writes to MS and standard formats
- Perform all common tasks
- Free Office - Not open source
- Better Office Compatibility
- Free for basic functionality
- Online: Office and Google
No Linux Options : Windows
- Run Windows in a virtual machine
- Use Wine - (Wine Is Not an Emulator)
- Find alternative software
No Linux Options : Mac
- Find alternative software
My Alternatives
- Adobe Photoshop -> Gimp (for basic image editing)
- Audition -> Audacity (great replacement)
WineHQ.org
During Transition
- Get comfortable & build confidence
- Sense of freedom
- Realization: OS is just another App
- Distro-hoping
$300 Experiment
- Drupal development laptop
- Eveyday use
- $300
Thinkpad - T420
- Ebay: $45
- 128 GB SSD: $36
- Charger: $11
- i5 Gen 2 - 3.2 ghz
- 8G Ram
- Less than ... $100
Getting Started
- Live ISO
- Etcher - Linux, Mac, Windows
- Burn to USB
- Boot from USB
- Second Machine
- DO NOT GO ALL IN
Summary
- Linux is not just for geeks
- Linux is not command line only
- GUI competes with Mac OS and Windows
- Take control
- Grow your skills and confidence
- Choose OS agnostic hardware
- Buy hardware shipped with Linux
Fall in love again.
Switch to Linux


Gary Neville lays into Arsenal players after Unai Emery is sacked
Unai Emery has been sacked as Arsenal manager after 18 months in charge following a run of seven matches without a win - which saw 15 goals conceded and five leads slip
by Alex SmithGary Neville has criticised Arsenal's players and the club's recruitment programmes after Unai Emery was sacked as the Gunners' manager.
Spaniard Emery was relieved of his job at the Emirates on Friday morning after overseeing a run of seven matches without a win - culminating in a 2-1 defeat to Eintracht Frankfurt in the Europa League on Thursday night.
But instead of blaming Emery for Arsenal's failure, Manchester United legend Neville thinks poor transfers and an "uncoachable" squad is the key reasons for the former Paris Saint-Germain boss's downfall.
Arsenal signed David Luiz and Kieran Tierney to shore up their defence in the summer, alongside a record outlay on winger Nicolas Pepe.
While during their seven game winless run, the side have conceded 15 goals and seen five leads slip.
"Let's be clear about this, these defenders are uncoachable," Neville said on Sky Sports News.
"I don't know who has been responsible for recruitment at Arsenal over the last two or three years but if I was in the boardroom I would be giving that lot a right rocket after watching some of the shambles.
"There is no way Unai Emery is telling David Luiz to step up two or three times to play offside or some of the hideous things you see from other defenders and midfield players.
"You think of Xhaka the other week. Emery is a man of honour and you see his behaviour. This is something far deeper than the coach.
"He is potentially sailing over the shores of the Channel this afternoon and is very happy to leave behind what is quite simply a very average bunch of players.
"The coach will ultimately take the fall but some of the things we were seeing on the pitch was fantasy football.
"Without a shadow of a doubt they have let him down.  You couldn't find a more erratic bunch of players in terms of defending to watch.
"If you were to say 'go out and find the three or four most erratic defenders in Europe' it seems like that has been the brief.
"Some of the players aren't up to it, they aren't of the quality for Arsenal's level."


I want to go to
Rome, Italy
sometime in
March
.
A
1. Pick an event
2. Choose a travel package
3. Book your Veique


We exchange content!
- implement global e-tailers
- grow B2C partnerships
- revolutionize best-of-breed vortals
- engineer real-time mindshare
- reintermediate open-source web-readiness
- benchmark viral metrics
- revolutionize holistic bandwidth
- synergize revolutionary supply-chains


Another brick in the wall.
I am Shadly Salahuddin, born and raised in the old city of Dhaka, Bangladesh. I have completed my Bachelor’s Degree in Electrical and Electronic Engineering from Rajshahi University of Engineering & Technology (RUET), Bangladesh. Recognizing my passion for computer science, I enrolled myself into Bergische Universität Wuppertal for a Master's Degree in Coumputer Simulation in Science. Currently I am living in Wuppertal, North Rhine-Westphalia, Germany.
Software Engineer or Embedded Software Engineer or may be something else in between.
In March 2016, after completing my bachelor’s degree, I started my career as an Embedded System Engineer in AplombTech BD Limited (A concern of Sinepulse GmbH, Germany). My job responsibility was to design and develop firmware and software services for IoT and Industry 4.0 devices. During my tenure here, I have also developed some Linux based operating systems using openwrt and buildroot for different embedded linux projects. It is a great pride of mine that my designed and developed IoT devices are deployed and running successfully in different corners of Bangladesh.
After working as an Embedded System Engineer for 3 years, I did quit my job to try and learn something new. I started working as a Software Engineer in, PeepThePlace, a company in Bangladesh focused on surveillance systems. There I worked on their backend systems with technologies like Javascript, Node.js, AWS, GraphQL etc. As I had prior experiences with Embedded Linux, I started developing OpenWrt based operating systems for our company's servilance system. I ended up my journey with this company just after 5 months of joinijng to take a leap of faith.
Because Dreams Never Die.
Globalization has broken the borders between countries and paved a way to pursue one’s passion even in a distant land. Soon I realized thatn it is imperative to engage in a more competitive and progressive learning. So Investing 100% of myself, I took the leap of faith. In October 2019, I started a new chapter of my life in Germany as a Master's student in Bergische Universität Wuppertal.
Last updated on : January 9, 2020


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---
layout: archive
author_profile: true
permalink: /
---
PF-3341: Artificial Intelligence in Digital Entertainment
In this class we will cover several different AI techniques and their applications to games and other digital entertainment options. For detailed information about
the class contents see the slides for lecture 1 and/or the syllabus.
We use Piazza for communication in this class, sign up here (sign-up code is given out in class).


What I used to do
What I hope to be doing after Code Fellows!
As a Software Engineer I hope to use my skills to create visually pleasing applications. As a fun-loving human being, I want to give the visitors to my About Me page a guessing game that shows how fun-loving and interesting I am, and maybe include things about myself that would not ordinarily appear in a portfolio page.


{% extends "layout.html" %} {% block pageTitle %} GOV.UK prototyping kit {% endblock %} {% block content %} {% import "pip24/macros/elements.html" as elements %} {% for page in data %} {% for question in page.pip2Start %} You have finished part 1 You've now started your claim. If you're successful, you'll be paid from today's date, 25 October 2016. You can now continue to the next set of more detailed questions about your condition, or you can take a break. You need to complete the rest of the application by: 25 November 2016 You can leave the application and return as often as you want, using the link we sent in an email. All the answers you’ve given so far have been saved. Continue to part 2 Save and come back later {{ elements.helpline(page) }} {% endfor %} {% endfor %} {% endblock %}
You've now started your claim. If you're successful, you'll be paid from today's date, 25 October 2016.
You can now continue to the next set of more detailed questions about your condition, or you can take a break.
You need to complete the rest of the application by:
25 November 2016
You can leave the application and return as often as you want, using the link we sent in an email.
All the answers you’ve given so far have been saved.
Continue to part 2
Save and come back later


{% extends "base.html" %} {% block content %}
Track work across the enterprise through an open, collaborative platform. Link issues across Jira and ingest data from other software development tools, so your IT support and operations teams have richer contextual information to rapidly respond to requests, incidents, and changes.
Deliver great service experiences fast - without the complexity of traditional ITSM solutions.Accelerate critical development work, eliminate toil, and deploy changes with ease, with a complete audit trail for every change.


The following table shows the contracts that have different trading periods than the overall CFE Future market:


API
Rate My Flight primarily consists of an API callable over HTTP that returns JSON data. The following URLs are implemented.
/api/airport/boundary/<south>/<west>/<north>/<east>/ Returns a list of airports (maximum defined in ratemyflight.settings.MAX_AIRPORTS) within the given boundaries <south>, <west>, <north> and <east> which make up latitude and longitude in decimal format.
/api/flight/boundary/<south>/<west>/<north>/<east>/ Returns a list of flights (maximum defined in ratemyflight.settings.MAX_FLIGHTS) within the given boundaries <south>, <west>, <north> and <east> which make up latitude and longitude in decimal format.
/api/flight/airline/<iata_code>/ Returns a list of flights (maximum defined in ratemyflight.settings.MAX_FLIGHTS) for the given airline using its given <iata_code>.
/api/flight/username/<username>/ Returns a list of flights (maximum defined in ratemyflight.settings.MAX_FLIGHTS) that have been given ratings by the given <username>.
/api/flight/recent/ Returns the most recent flights (maximum defined in ratemyflight.settings.MAX_FLIGHTS).
JSON
The following examples show the JSON format returns for aiports and flights.
Airports:
[ { pk: 9044, model: "ratemyflight.airport", fields: { city: "Adelaide", name: "Adelaide International", icao_code: "YPAD", longitude:<PHONE_NUMBER>55556, iata_code: "ADL", country: 235, latitude: -34.945 } } ]
Flights:
[ { comment: "I like turtles!!", flight: "GQ483", name: "stephen_mcd", tweet_id: null, airport_from_id: 9075, airport_from: { city: "Tamworth", name: "Tamworth", icao_code: "YSTW", country_id: 235, longitude:<PHONE_NUMBER>66667, iata_code: "TMW", latitude: -31.0838888888889, id: 9075 }, tweet_text: null, value: 6.7, airport_to_id: 2082, avatar_url: "http://a3.twimg.com/profile_images/676/a.jpg", airline_id: 1428, airport_to: { city: "Swartkop", name: "Swartkop", icao_code: "FASK", country_id: 43, longitude: 28.1644444444444, iata_code: "N/A", latitude: -25.8094444444444, id: 2082 }, id: 81 } ]


Nyzo version 549 (commit on GitHub) adds retrieval of blocks behind frozen edge to enable faster recovery for in-cycle verifiers. It also substantially reduces the network usage of out-of-cycle verifiers.
This version affects the verifier. It includes improvements for both in-cycle and out-of-cycle verifiers.
In Block.fromByteBuffer(), transaction validation has been eliminated for all blocks behind the frozen edge.
In Block.chainScore(), a special case has been added for new verifiers to be allowed to send their blocks without having sufficient history to properly score blocks. As the comment explains, this score will often be incorrect, but the consequences of that incorrect score are acceptable and do not weaken the system.
The visibility of the BlockManager.loadBalanceListFromFile() method has been changed to public to allow it to be accessed from the new HistoricalChainFiller class.
In ChainInitializationManager, a maximum number of attempts has been added to the loop in the fetchBlock() method. The initializeFrozenEdge() method, which uses the fetchBlock() method, was previously only used during the verifier initialization process. Now, the reinitializeFrozenEdge() method of Verifier also uses the initializeFrozenEdge() method, executing it in a separate thread. The iteration limit ensures that these threads eventually complete.
The logging statement in the initializeFrozenEdge() method has been updated to be accurate in both the old and new uses of the method.
The ChainSectionRetriever class, true to its name, encapsulates a process for retrieving a section of the blockchain. The start height, end height, and an "anchor hash" are specified. The anchor hash is the expected hash of the block at the end height.
The ChainSectionRetriever runs a sequential fetch process in a separate thread, working backward from the end height to the start height.
The processFetchResponse() method adds valid blocks from block responses to a map that is keyed on block height. This map is later used by the getBlocks() method to produce a list of blocks ordered on block height.
HistoricalChainFiller uses a combination of consolidated block files and block requests to fill the chain between the trailing edge and the frozen edge. Previously, a verifier with an incomplete chain history would wait for the chain to advance to a point where the any missing history was no longer relevant. However, this takes considerable time with longer verifier cycles. In-cycle verifiers are unable to properly produce or vote for blocks when they to not have a complete history between the trailing edge and the open edge, which prevents them from fully participating in the cycle.
The HistoricalChainFiller primarily relies on consolidated 1000-block files to provide blocks behind the frozen edge. For ranges of blocks not yet available in consolidated files, the new ChainSectionRetriever is used.
The requestFile() method retrieves the newest consolidated file before the currently available blockchain history. Any gap between the available history and the end of this file is provided in the gapBlocks list, which is fetched using a ChainSectionRetriever instance. The blocks are verified and saved to local storage. The consolidated file is saved directly as fetched, and gap blocks are written to individual block files.
Unrelated to the core changes of this version, the verifierChangeAllowed() method has been removed from NodeManager. This was initially intended to combat centralization, but the only effective way to address centralization is through improvement of the entrance process. This method was only causing confusion about verifier behavior and making debugging of node issues unnecessarily difficult.
Also unrelated to the core changes of this version, the SeedTransactionManager class has been simplified. The lastBlockRequested field has been replaced with references to BlockManager.getFrozenEdgeHeight(), and raw Thread.sleep() calls have been replaced with ThreadUtil.sleep() calls to eliminate the verbosity of required exception handling.
The base URL for seed-transaction files has been changed from AWS S3 to Digital Ocean Spaces. These are equivalent services, but the Digital Ocean service is considerably less expensive.
The Verifier class has a new option to alwaysTrackBlockchain.
Please note that the default behavior for out-of-cycle verifiers is different in this version than in the previous version. The new default behavior of a loose tracking of the blockchain is preferable for typical out-of-cycle verifiers, but special use cases may require close tracking of the blockchain by out-of-cycle verifiers. To have an out-of-cycle verifier closely track the blockchain, add the following line to /var/lib/nyzo/production/preferences:
always_track_blockchain=1
To accommodate this new, looser tracking of the blockchain, a reinitialization process has been added to periodically jump the verifier's copy of the blockchain close to the cycle's frozen edge. For the top-voted out-of-cycle verifier, this process happens every 1 minute. For other out-of-cycle verifiers, the process happens every 20 minutes.
The backfillInterval and associated timestamp control how frequently the verifier attempts to complete missing chain history.
In the main verifier loop, the top new verifier now shares the in-cycle condition that requests missing frozen and unfrozen blocks. Additionally, the top new verifier reinitializes the frozen edge in this condition and requests a block with votes. While this is a rather aggressive set of actions, such aggression is warranted. This verifier has suddenly gone from lazily tracking the blockchain to tightly tracking the frozen edge in order to produce a block to join the cycle.
When instructed to do so, out-of-cycle verifiers will closely track the frozen edge of the blockchain, even if they have no immediate opportunity to join the cycle.
If close tracking is not specified, out-of-cycle verifiers will loosely track the frozen edge of the blockchain, reinitializing every 20 minutes to maintain knowledge of which verifiers are in the cycle.
A periodic call to HistoricalChainFiller has been added for times when the verifier has not yet established the blockchain trailing edge. If the trailing edge is unknown, blocks cannot be properly scored.
Update of the top-voted verifier has been moved from the section of code that is executed when a block is frozen to the section of code that is executed on a regular interval roughly equal to the standard block duration. This ensures that out-of-cycle verifiers regularly update their top-voted verifier even if they are not regularly freezing blocks. Also, each time a set of individual block votes is requested, a block-with-votes request is also issued. This request serves the same basic function as the individual requests, but it allows blocks to be frozen much more quickly.
The top new verifier is now allowed to create new blocks even if the continuity state of the previous block cannot be determined. This allows new verifiers to create blocks immediately after they have reinitialized their frozen edges.
The isTopNewVerifier() method is shorthand for checking if NewVerifierVoteManager has chosen the local verifier as the top verifier. The reinitializeFrozenEdge() method spawns a thread to execute the ChainInitializationManager.initializeFrozenEdge() method.
In PreferencesUtil, an overload of the get() method, which is used to retrieve String values, has been added. This overload allows specification of a default value, and it is used for the consolidated_block_base_url preference in HistoricalChainFiller.


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An investigation into different initial guess for square root computations
Why?
I was walking through the go tour, and came across an exercise that was to write a square root function. It then
gave me a formula for refining an inital guess to a better one, using Newton's Method. That formula is
z -= (z*z - x) / (2*z)
where z in an initial guess, and x is the number we want the square root of.
The z^2 - x above is how far away z^2 is from where it needs to be (x), and the division by 2z is the derivative
of z^2, to scale how much we adjust z by how quickly z^2 is changing.
My code for the square root function, given a number x and an inital guess z is as follows (written in go):
// Standard Square root using an intial guess z
func Sqrt(x float64, z float64) (float64, int) {
counter := 0
last := float64(999999999)
difference := float64(1)
for difference > 2e-15{
counter += 1
z -= (z*z - x) / (2*z)
difference = last - z
last = z
}
return z, counter
}
Method:
I wrote a bunch of different initial guessing methods and tried them on two different numbers. The initial guess algorithm methods I have are as follows:
- 2/3rds. This guesses
x * (2 / 3)
- Full. This guesses
x
itself - Half. This guesses
x / 2
- 0.1. This guesses
0.1
- 999... This guesses
99999999
Results:
The output of my code, which is avalible here, is as follows:
8721.86 is supposed to be 8721.86 and was completed in 18 iterations using the 2/3rds guess method
8721.86 is supposed to be 8721.86 and was completed in 19 iterations using the full number guess method
8721.86 is supposed to be 8721.86 and was completed in 18 iterations using the half guess method
8721.86 is supposed to be 8721.86 and was completed in 18 iterations using the 999... guess method
8721.86 is supposed to be 8721.86 and was completed in 22 iterations using the 0.1 guess method
924.0002341 is supposed to be<PHONE_NUMBER> and was completed in 15 iterations using the 2/3rds guess method
924.0002341 is supposed to be<PHONE_NUMBER> and was completed in 15 iterations using the half guess method
924.0002341 is supposed to be<PHONE_NUMBER> and was completed in 16 iterations using the full number guess method
924.0002341 is supposed to be<PHONE_NUMBER> and was completed in 19 iterations using the 0.1 guess method
924.0002341 is supposed to be<PHONE_NUMBER> and was completed in 22 iterations using the 999... guess method
What does this mean?
The iterations is how long it took the function to evaluate to a change in guess of less than 2e-15.
The is supposed to be
is so that I can debug float errors.
Given these results, we can determine that 2/3rds and 1/2 methods are the most efficient, followed by full. 999... and 0.1 do not turn out to be very efficient.
Written by Arcade Wise, on the Hacker Zephyr.
Generated using monis


public interface XPathElement extends Cloneable
this//is/an/@xpath
", "this
", "is
", "
an
" and "@xpath
" would all be XPathElements of
various types.
Within IceSoap there is no holistic "XPath" type - rather, an XPath as a
whole is represented by its last element. Hence, if someone wanted to
determine whether one XPath expression matched another, they would find the
XPathElement instance representing the final element of each and execute the
matches
operation.
| Modifier and Type | Method and Description |
|---|---|
void |
addPredicate(String name,
String value)
Adds a predicate to this XPath element.
|
XPathElement |
clone()
Performs a deep-copy of this
XPathElement instance - this
includes deep copies of the entire previous element chain. |
XPathElement |
getFirstElement()
Gets the first element of the XPath associated with this XPath.
|
String |
getName()
Gets the name of the element.
|
String |
getPredicate(String predicateName)
Gets the value of a predicate with the name passed in.
|
int |
getPredicateCount()
Gets the number of predicates in this XPathElement
|
String |
getPrefix()
Gets the prefix of the element...
|
XPathElement |
getPreviousElement()
Gets the element previous to this one in the XPath expression.
|
int |
getSpecificity()
Gets a naive representation of how specific this element is by counting the number of elements along the way
|
boolean |
isAttribute()
Determines whether this is an attribute.
|
boolean |
isFirstElement()
Determines whether this element is the first in the XPath expression.
|
boolean |
isRelative()
Determines whether this element is relative (i.e.
|
boolean |
matches(XPathElement otherElement)
Determines whether the passed XPathElement matches all the information
specified by this one.
|
void |
setPreviousElement(XPathElement previousElement)
Sets the previous element to this one in the XPath expression.
|
String |
toString()
Returns this element and all previous elements in standard XPath
notation.
|
StringBuilder |
toStringBuilder()
Returns the toString() representation of this XPathElement as a
StringBuilder.
|
String getName()
/name
" returns "name"//name
" returns "name"name
" returns "name"/@name
" returns "name"XPathElement clone()
XPathElement
instance - this
includes deep copies of the entire previous element chain.String getPredicate(String predicateName)
predicateName
- The name of the predicate (e.g. to get the value of the
predicate expression [@name="value"]
,
predicateName
would be "name").void addPredicate(String name, String value)
Adds a predicate to this XPath element. Currently, any predicates added will act as "and" rather than "or" when matching with another elements.
e.g. In the XPath expression
/xpath/example[@predname="predvalue"]
, "predname" would be
the name passed into this operation, and "predvalue" would be the value.
name
- The name of the predicate.value
- The value for the predicate.int getPredicateCount()
Gets the number of predicates in this XPathElement
boolean matches(XPathElement otherElement)
Determines whether the passed XPathElement matches all the information specified by this one.
Note that this operation does not work the same in both directions like
.equals
. For instance, if I call
xpathElementA.matches(xpathElementB)
Then I'm querying whether xpathElementB
matches everything
specified by xpathElementB
. So if xpathElementB
is horrendously complicated like
/this[@pred="value"]/is/a[@anotherpred="anothervalue" and @yetanotherpred="yetanothervalue"]/very/complicated/xpath
but xpathElementA
is something very simple like
//xpath
xpathElementA.matches(xpathElementB)
will return
true
. In this case,
xpathElementB.matches(xpathElementA)
will return
false
.
otherElement
- Another element to try to match.XPathElement getPreviousElement()
boolean isFirstElement()
/example/xpath
, invoking
isFirstElement()
on the example
element will
return true, whereas on the xpath
node it will return false.StringBuilder toStringBuilder()
XPathElement.toString()}
String toString()
boolean isAttribute()
boolean isRelative()
String getPrefix()
void setPreviousElement(XPathElement previousElement)
Sets the previous element to this one in the XPath expression. Note that an xpath element will retain the behaviour determined by how many slashes prefix it.
E.g. If I have an XPath //allnode/xpath
and set
allnode
's previous element as /element
, the
resulting entire XPath will be /element//allnode/xpath
.
Note that for relative XPaths, setting a previous element changes it to a
standard single-slash XPath element. E.g. if I have a relative xpath
allnode/xpath
and set allnode
's previous
element to /element
as above, the resulting entire XPath
will become /element/allnode/xpath
.
previousElement
- The element to set as the previous element to this one.XPathElement getFirstElement()
int getSpecificity()
Copyright © 2016. All rights reserved.


January 1, 0001 by
jQuery Sparklines
This jQuery plugin makes it easy to generate a number of different types of sparklines directly in the browser, using online a line of two of HTML and Javascript.
The plugin has no dependencies other than jQuery and works with all modern browsers and also Internet Explorer 6 and later (excanvas is not required for IE support).
See the jQuery Sparkline project page for live examples and documentation.
License
Released under the New BSD License
(c) Splunk, Inc 2012
About this fork
- The intent of this fork is to build the Javascript files with Grunt 0.4 and to check the built files into the repo.
- The min file is minified using UglifyJS with default settings.
- Checking in built files is not what the original author wants in his repo.
- So why does this fork do that? Well, the built files will then be available to developers who use jquery.sparkline and use Bower for dependency management and Grunt to pluck the files they need in their project. This lets the developer avoid having to run Grunt in dependency directories (eg, node_modules) before running their own builds.
- In order to allow for tag level targeting via Bower, new tags will be made, starting at 2.1.3


SwitchBack
The script for SwitchBack was written when Jeb Stuart was in college, long before he wrote DIEHARD and THE FUGITIVE. There is no question about his talent. Still, the story for SwitchBack reads like a million others, convoluted and unnecessarily complicated.
Essentially, it is the story of a serial killer, Bob Goodall, (Danny Glover) who is being tracked by an FBI man, Frank LaCrosse. We are never told why Goodall is engaged in his killings, only that he has killed some 16 people. Not only has he thrown the police off his track, he has managed to make them look for someone else. However, he has not fooled LaCrosse. When Goodall becomes aware of that, he kidnaps Lacrosse's seven-year-old son in the hope that the father will lay off. On the contrary, this incites the father to double his efforts.
Early in the film, Goodall meets up and saves the life of Jared Leto (Lane Dixon) a medical student dropout who has become a drifter. For the rest of the film they hang out together. The other interesting character is that of Sheriff Olmstead (R Lee Ermey) who originally is antagonistic to the FBI stepping in on his case but eventually becomes an ally.
What value the film has is almost entirely in the spectacularly beautiful photography of the snow-covered Rocky Mountains with the train snaking through. That is the magnificent work of Oliver Wood. In addition, there are some hair-raising fights with both Goodall and LaCrosse battling it out on some kind of snowplow that swings perpendicularly away from the train. Still, the film does not lend itself to any great acting and so everyone is quite adequate without particularly having to shine..
Directed by Jeb Stuart.
2.5 bytes
4 Bytes = Superb 3 Bytes = Too good to miss 2 Bytes = Average 1 Byte = Save your money
Copyright 1997 Ben Hoffman
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


multiplexer - One-to-many communication with sockets.
The multiplexer package provides a generic system for one-to-many communication utilizing sockets. For example, think of a chat system where one user sends a message which is then broadcast to all the other connected users.
It is possible to have different multiplexers running concurrently.
The create command creates a new multiplexer 'instance'. For example:
set mp [::multiplexer::create]
This instance can then be manipulated like so:
${mp}::Init 35100
This starts the multiplexer listening on the specified port.
Use Config to configure the multiplexer instance. Configuration options currently include:
Command to add a filter for data that passes through the multiplexer instance. The registered cmdprefix is called when data arrives at a multiplexer instance. If there is more than one filter command registered at the instance they will be called in the order of registristation, and each filter will get the result of the preceding filter as its argument. The first filter gets the incoming data as its argument. The result returned by the last filter is the data which will be broadcast to all clients of the multiplexer instance. The command prefix is called as
Takes the incoming data, modifies it, and returns that as its result. The last three arguments contain information about the client which sent the data to filter: The channel connecting us to the client, its ip-address, and its ip-port.
Command to add an access filter. The registered cmdprefix is called when a new client socket tries to connect to the multixer instance. If there is more than one access filter command registered at the instance they will be called in the order of registristation. If any of the called commands returns -1 the access to the multiplexer instance is denied and the client channel is closed immediately. Any other result grants the client access to the multiplexer instance. The command prefix is called as
The arguments contain information about the client which tries to connected to the instance: The channel connecting us to the client, its ip-address, and its ip-port.
Adds filter to be run when client socket generates an EOF condition. The registered cmdprefix is called when a client socket of the multixer signals EOF. If there is more than one exit filter command registered at the instance they will be called in the order of registristation. Errors thrown by an exit filter are ignored, but logged. Any result returned by an exit filter is ignored. The command prefix is called as
The arguments contain information about the client which signaled the EOF: The channel connecting us to the client, its ip-address, and its ip-port.
This document, and the package it describes, will undoubtedly contain bugs and other problems. Please report such in the category multiplexer of the Tcllib Trackers. Please also report any ideas for enhancements you may have for either package and/or documentation.
When proposing code changes, please provide unified diffs, i.e the output of diff -u.
Note further that attachments are strongly preferred over inlined patches. Attachments can be made by going to the Edit form of the ticket immediately after its creation, and then using the left-most button in the secondary navigation bar.
Programming tools


LongOutsideTest.testComparableOutsideFailMessage: Long 'valueA'(122) is outside Long range [124;123]. Extra info goes here. LongOutsideTest.testComparableOutsideFailComparableMax: Long 'valueA'(9223372036854775807) is outside Long range [-9223372036854775808;9223372036854775806]. Extra info goes here. LongOutsideTest.testComparableOutsideFailComparableMin: Long 'valueA'(-9223372036854775808) is outside Long range [-9223372036854775807;9223372036854775807]. LongOutsideTest.testLongOutsideFailMinusZeroVsZero: Long 'valueA'(1) is outside Long range [0;0]. Extra info goes here. LongOutsideTest.testComparableOutsideFailNoMessage: Long 'valueA'(121) is outside Long range [122;123].


Develop online with React! 🌐
No Build Tools Needed! 🚧
https://github.com/dataformsjs/awesome-web-react
- This site provides a list with examples of libraries and components that you can use to develop web pages and apps with React without any build tools.
- Development build tools and projects such as
webpack
, babel
, and create-react-app
are great but they do not make sense for all sites, web pages, and development workflows.
- With browser based options for JSX you can easily include React Components on any page without having to build the entire site using React or JSX.
-
Reasons why you might want to do this can include:
- Fast Development and Site Updates 🚀 Because there is no build process you can create and modify sites using any editor on any system.
- Easily Share 🚀 Provide React code snippets to designers or web developers who do not know or use JavaScript.
- Project Size 🗛 This site includes many example mini apps and each one is typically less than 10 kB in size while a standard React app using
create-react-app
is between 150 and 250 MB and includes over 30,000 files.
- Add to any Page 📄 Add React to legacy and existing sites or web pages. Often React is used on new projects only but with online development options you can include React and Libraries directly from a CDN or JavaScript files.
- Learn React 🏫 Web Development with only a Browser and a Text Editor is any easy way to get started with React or try new ideas and features.
- Rapid Prototyping 🚆 Instantly develop ideas and into quick apps and then migrate to a build process later if you want to.


The util package provides miscellaneous convenience classes. It currently provides classes for nodes (Node) and edges (QCurve) in graphs as well as a utility class for tracing (Trace) and a utility class defining many common colors.


With well over four hundred projects completed over the past eight years, it is fair to say we have proven ourselves as a reliable and trusted source for local business across Greater Manchester and now more recently winning business across London. We have worked on large E-commerce projects straight through to your smaller Brochure based projects.
You will always get an honest answer to your questions and we aim to keep things as simple and straight forward as possible. Our specialist skill set includes: Business Consultation and Strategy Planning, Web Design, Web Development, Application Development, Responsive Designs, SSL Websites, Search Engine Promotions and monthly report and tracking.
We are passionate Google Fans and work hard to remain within their guidelines.
To find out more about what the WBP Team can do for you and your business. call us now on 0161 883 1671.
Our Team are here to Help you


{% extends "base_menu.html" %} {% block title %}绩效管理{% endblock %} {% block css_content %} {{ 't_css/tabControls.css' | make_static_html | safe }} {% endblock %} {% block js_content %} {{ 't_js/bootstrap.min.js' | make_static_html | safe }} {{ 't_js/d3.v4.min.js' | make_static_html | safe }} {{ 't_js/Common/add_node.js' | make_static_html | safe }} {{ 't_js/Common/datetime_tools.js' | make_static_html | safe }} {{ 't_js/Common/url_tool.js' | make_static_html | safe }} {{ 't_js/Performance/overview_d3.js' | make_static_html | safe }} {{ 't_js/Performance/index.js' | make_static_html | safe }} {{ 't_js/Performance/add.js' | make_static_html | safe }} {% endblock %} {% block center_content %}


The name of the interface that triggered this active interface
The origin of the gadget that provided the peer to this active interface.
The params object, if any, that was provided when this interface was started
The remote AvInterfaceEntity node's endpoint address
Indicates whether this is the transmit or receive end of the interface
The local AvInterfaceEntity node's endpoint address
The transform from the remote node's space to the local node's space
The intersection point in the local node's space
The transform from the receiver's space to the transmitter's space
The intersection point in the transmitter's space
The user agent of the gadget that provided the peer to this active interface.
Locks the interface so moving the two nodes apart will not cause it to end.
Allows the local node to provide a callback that will be invoked when the interface ends. For locked interfaces, this will be called if the remote end goes away.
Allows the local node to provide a callback that will be invoked when the remote end sends an event. The interface name should define the format of these objects.
Allows the local node to provide a callback that will be invoked when the transform between the local and remote node has changed. This will only be called for interfaces with the wantsTransforms field set to true.
Atomically unlock the interface from one receiver and lock it to another
Send an event object to the remote end. The interface name should define the format of these objects.
Unlocks the interface so it can be updated to higher priority collisions or end if the nodes move apart.
Generated using TypeDoc
Represents an active interface with another node in this or another gadget


--- layout: post status: publish published: true title:
Andy and Corey share their experiences from the birthday party for Wrigley Field on Wednesday. We talk about the game and the festivities. There were things we think the Cubs nailed and some things they fell short with (besides the on-field product).
Corey's brother, Patrick has been a White Sox fan for 23 years. When he said he'd like to go to the game, he shared that he was prepared to leave the White Sox for the Cubs. In this interview, you will hear from Patrick. You will hear what has prompted this decision and after weeks of deliberation and witnessing a tremendous collapse by the Cubs on Wrigley Field's 100th birthday, is he ready to call himself a Cubs fan?
Justin Ruggiano went down with an injury in the game on Wednesday, we talk about his injury and the players that the Cubs called up this week - Zac Rosscup and Neil Ramirez. The Cubs currently have a 13 man pitching staff and it seems like they'd likely bring up another outfielder. We look at the options in Iowa and give our preferences.
We go through some listener questions, give Kurt's Scary Stat of the Week and pick a winner for this week's photo caption contest.
[caption id="attachment_9833" align="aligncenter" width="300"] It wasn't Patrick's first Cubs game, but was it his first Cubs game as a Cubs fan? Listen to this episode to find out. [/caption]


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Empowering Students with Disabilities Through an Online Student Support Portal
2017 EDUCAUSE ANNUAL CONFERENCE
CASEY FRECHETTE, PH.D.
Assistant Professor, Journalism and Digital Communication
SHARON AUSTIN, MA, MSETM
Programmer/Analyst
BERRIE WATSON, MCP, MCSE Core.
Head, Library Systems and Digital Technology
Robert Beasey
USFSP Student


“Daddy, how is software made?” Well, when a programmer loves an idea very much they stay up all night and then push to github the next day.
— Sam Kottler


closed
by None at 2022-01-07 20:30:17.labeled
by None at 2022-01-07 20:30:42.closed
by None at 2022-01-07 20:38:27.closed
by Hector Correa at 2022-01-07 17:45:18.referenced
by Hector Correa at 2022-01-07 17:45:17.merged
by Hector Correa at 2022-01-07 17:45:18.closed
by Hector Correa at 2022-01-07 17:45:18.head_ref_deleted
by Hector Correa at 2022-01-07 17:45:19.head_ref_force_pushed
by Hector Correa at 2022-01-07 20:45:06.referenced
by Kate Lynch at 2022-01-07 20:50:43.merged
by Kate Lynch at 2022-01-07 20:50:43.closed
by Kate Lynch at 2022-01-07 20:50:43.head_ref_deleted
by Kate Lynch at 2022-01-07 20:50:43.closed
by Kate Lynch at 2022-01-07 20:50:43.assigned
by Hector Correa at 2022-01-07 21:46:10.closed
by Trey Pendragon at 2022-01-07 16:58:29.ready_for_review
by None at 2022-01-07 16:58:00.referenced
by Trey Pendragon at 2022-01-07 16:58:29.merged
by Trey Pendragon at 2022-01-07 16:58:29.closed
by Trey Pendragon at 2022-01-07 16:58:29.head_ref_deleted
by Trey Pendragon at 2022-01-07 16:58:30.labeled
by Trey Pendragon at 2022-01-07 18:09:24.labeled
by Trey Pendragon at 2022-01-07 18:09:24.There's a third file which is the initial scanned map, yes? We need to articulate the relationship there, as well. Will it continue to use the parent / member structure that is currently in use?
We should document whatever we end up with in https://github.com/pulibrary/figgy/blob/a73d0efd1225c4fce13003e4354c1d4877b9b640/docs/use_cases.md
labeled
by Eliot Jordan at 2022-01-07 18:38:34.labeled
by None at 2022-01-07 18:50:35.assigned
by Alicia Cozine at 2022-01-07 19:44:00.renamed
by Alicia Cozine at 2022-01-07 20:17:03.referenced
by Trey Pendragon at 2022-01-07 21:43:45.merged
by Trey Pendragon at 2022-01-07 21:43:45.closed
by Trey Pendragon at 2022-01-07 21:43:45.head_ref_deleted
by Trey Pendragon at 2022-01-07 21:43:45.labeled
by Trey Pendragon at 2022-01-07 21:50:53.Updated this issue to use tilejson instead of xyz.
renamed
by Trey Pendragon at 2022-01-07 21:48:42.labeled
by None at 2022-01-07 22:34:13.labeled
by None at 2022-01-07 22:34:13.renamed
by Eliot Jordan at 2022-01-08 00:11:05.convert_to_draft
by Eliot Jordan at 2022-01-08 00:11:15.deployed
by None at 2022-01-08 00:11:53.referenced
by None at 2022-01-07 14:47:34.closed
by Kevin Reiss at 2022-01-07 16:18:57.referenced
by Kevin Reiss at 2022-01-07 16:18:57.merged
by Kevin Reiss at 2022-01-07 16:18:57.closed
by Kevin Reiss at 2022-01-07 16:18:57.head_ref_deleted
by Kevin Reiss at 2022-01-07 16:18:58.deployed
by None at 2022-01-07 16:36:33.referenced
by None at 2022-01-07 18:14:36.merged
by None at 2022-01-07 18:14:36.closed
by None at 2022-01-07 18:14:37.head_ref_deleted
by None at 2022-01-07 18:14:37.We need a search for study rooms, so it is easier to find the correct spot to add the violation, but the ability is now part of the system
referenced
by None at 2022-01-07 12:49:50.merged
by None at 2022-01-07 12:49:50.closed
by None at 2022-01-07 12:49:50.head_ref_deleted
by None at 2022-01-07 12:49:51.head_ref_force_pushed
by None at 2022-01-07 17:13:29.deployed
by None at 2022-01-07 17:13:46.assigned
by None at 2022-01-07 19:44:15.assigned
by Christina Chortaria at 2022-01-07 19:44:21.Sorry for the delay. Waiting for the maintenance week works for me.
Not sure if this a one-time issue or is recurring. Research is needed.
renamed
by Eliot Jordan at 2022-01-07 16:44:00.labeled
by Eliot Jordan at 2022-01-07 16:44:06.labeled
by None at 2022-01-07 20:50:34.The remaining security warnings from Dependabot may be ignored at this time as they have to do with Webpack and are not relevant in production instances as Webpack is not used (assets are pre-compiled before deploy). Closing this ticket.
closed
by Shaun Ellis at 2022-01-07 20:01:52.The above is not a complete list of possible solutions. DLS and stakeholders should continue to brainstorm and prototype the best solutions.
The above is not a complete list of possible solutions. DLS and stakeholders should continue to brainstorm and prototype the best solutions. Emily Wild had suggestions for pointing to publicly accessible data sets where our versions may be restricted.
This is not a complete list of possible solutions. DLS and stakeholders should continue to brainstorm and prototype the best solutions.
@kelea99 had some ideas on this
mentioned
by Kim Leaman at 2022-01-07 21:36:33.subscribed
by Kim Leaman at 2022-01-07 21:36:33.We're going to use https://github.com/kartena/leaflet-tilejson and the tileserver's tilejson, like so: https://map-tiles-staging.princeton.edu/mosaicjson/tilejson.json?id=f75a1e91ade3427a82a109d321d47cbf
This allows the mosaic to pre-cache.


|
cds
1.2.0
|
Lazy list default type traits. More...
#include <cds/container/lazy_list_base.h>
Public Types | |
| typedef CDS_DEFAULT_ALLOCATOR | allocator |
| allocator used to allocate new node | |
| typedef opt::none | compare |
| Key comparison functor. | |
| typedef opt::none | less |
| specifies binary predicate used for key comparision. | |
| typedef cds::lock::Spin | lock_type |
| Lock type used to lock modifying items. | |
| typedef cds::backoff::Default | back_off |
| back-off strategy used | |
| typedef atomicity::empty_item_counter | item_counter |
| Item counter. | |
| typedef opt::v::relaxed_ordering | memory_model |
| C++ memory ordering model. |
Static Public Attributes | |
| static const opt::link_check_type | link_checker = opt::debug_check_link |
| Link fields checking feature. |
Lazy list default type traits.
Either compare
or less
or both must be specified.
back-off strategy used
If the option is not specified, the cds::backoff::Default is used.
Key comparison functor.
No default functor is provided. If the option is not specified, the less
is used.
Item counter.
The type for item counting feature. Default is no item counter (atomicity::empty_item_counter)
specifies binary predicate used for key comparision.
Default is std::less<T>
.
Lock type used to lock modifying items.
Default is cds::lock::Spin
C++ memory ordering model.
List of available memory ordering see opt::memory_model
|
static |
Link fields checking feature.
Default is intrusive::opt::debug_check_link


§ Sidetree REST API
Specification Status: Editor’s Draft
Latest published version: identity.foundation/sidetree/api
- Editors:
- Troy Ronda (SecureKey)
- Henry Tsai (Microsoft)
- Contributors:
- Mudassir Ali (Microsoft)
- Isaac Chen (Microsoft)
- Kyle Den Hartog (Mattr)
- Daniel Buchner (Microsoft)
- Orie Steele (Transmute)
- Participate:
- GitHub repo
- File a bug
- Commit history
§ REST API
The following sections define the Sidetree resolution and operations endpoints. Please refer to the companion Sidetree REST API specification for additional information, as well as REST API definitions for blockchain and CAS components.
§ Sidetree Resolution
Sidetree resolution requests to the REST API are based on the DID Resolution HTTP(S) binding. Resolution requests consist of a DID and MAY include DID parameters. As detailed in Resolution, the resolution request MAY include the initial state DID parameter.
The server responds with the DID Resolution Result composed of the DID Document and Method Metadata.
Sidetree defines operationPublicKeys
, recoveryKey
and published
method metadata.
published
is detailed in Published Property.operationPublicKeys
is an array of public key objects that includeops
in theusage
array. See patch action for more details.recoveryKey
is the recovery public key object.
{
"@context": "https://www.w3.org/ns/did-resolution/v1",
"didDocument": DID_DOCUMENT_OBJECT,
"methodMetadata": {
"operationPublicKeys": [OPERATION_PUBLIC_KEY_OBJECT, ...],
"recoveryKey": RECOVERY_PUBLIC_KEY_OBJECT,
"published": boolean
}
}
A resolution is requested as follows:
- The client MUST send a GET to the Sidetree resolution endpoint
/identifiers/{did-with-or-without-initial-state}
under the desired REST server path. - If the DID does not exist and initial state was not provided:
- The server MUST respond with HTTP Status Code 404.
- If the DID does not exist and valid initial state was provided:
- The server MUST respond with HTTP Status Code 200.
- The server MUST include the
didDocument
property, with its value set to the initial DID document that is constructed from the initial state. - The server MUST include the resolution response object
methodMetadata
composed of apublished
property with valuefalse
.
- If the DID does exist:
- The server MUST respond with HTTP Status Code 200.
- The server MUST include the
didDocument
property, with its value set to the latest DID document. - The server MUST include the resolution response object
methodMetadata
composed of apublished
property with valuetrue
.
- Otherwise, for failure, the server MUST respond with an appropriate HTTP Status Code (400, 401, 404, 500).
§ Sidetree Operations
Sidetree operation requests to the REST API consist of a type property indicating the operation to be performed along with operation-specific properties and data.
{
"type": OPERATION_TYPE,
...
}
A valid Sidetree Operation Request is a JSON document composed as follows:
- The Operation Request MUST contain a
type
property, and its value MUST be a valid operation defined in File Structure. The defined operations arecreate
,recover
,deactivate
,update
. - Populate additional properties according to the appropriate subsection.
- The client MUST POST the Operation Request JSON document to the Sidetree operation endpoint
/operations
under the desired REST server path. - The server MUST respond with HTTP status 200 when successful. Otherwise, for failure, the server MUST respond with an appropriate HTTP Status Code (400, 401, 404, 500).
- In the case of a successful
create
operation, the server MUST return the DID Resolution Result for the DID as is detailed in Sidetree Resolution.
- In the case of a successful
§ Create
{
"type": "create",
"suffix_data": SUFFIX_DATA_OBJECT,
"delta": DELTA_OBJECT
}
Use the following process to generate a Sidetree create operation JSON document for the REST API, composed as follows:
- The object MUST contain a
type
property, and its value MUST becreate
. - The object MUST contain a
suffix_data
property, and its value must be aBase64URL
encoded Suffix Data Object(#anchor-file-create-entry). - The object MUST contain an
delta
property, and its value must be aBase64URL
encoded Create Operation Data Object.
§ Update
{
"type": "update",
"did_suffix": DID_SUFFIX,
"update_reveal_value": REVEAL_VALUE,
"delta": DELTA_OBJECT,
"signed_data": JWS_SIGNED_VALUE
}
Use the following process to generate a Sidetree update operation JSON document for the REST API, composed as follows:
- The object MUST contain a
type
property, and its value MUST beupdate
. - The object MUST contain a
did_suffix
property, and its value MUST be the DID Suffix of the DID the operation pertains to. - The object MUST contain a
update_reveal_value
property, and its value MUST be the last update COMMITMENT_VALUE. - The object MUST contain an
delta
property, and its value MUST be aBase64URL
encoded Update Operation Delta Object. - The object MUST contain a
signed_data
property, and its value MUST be a IETF RFC 7515 compliant JWS object as defined in Map File for Update operations.
§ Recover
{
"type": "recover",
"did_suffix": DID_SUFFIX,
"recovery_reveal_value": REVEAL_VALUE,
"delta": DELTA_OBJECT,
"signed_data": JWS_SIGNED_VALUE
}
Use the following process to generate a Sidetree recovery operation JSON document for the REST API, composed as follows:
- The object MUST contain a
type
property, and its value MUST berecover
. - The object MUST contain a
did_suffix
property, and its value MUST be the DID Suffix of the DID the operation pertains to. - The object MUST contain a
recovery_reveal_value
property, and its value MUST be the last recovery COMMITMENT_VALUE. - The object MUST contain an
delta
property, and its value MUST be aBase64URL
encoded Recovery Operation Delta Object. - The object MUST contain a
signed_data
property, and its value MUST be a IETF RFC 7515 compliant JWS object as defined in Anchor File for Recovery operations.
§ Deactivate
{
"type": "deactivate",
"did_suffix": DID_SUFFIX,
"recovery_reveal_value": REVEAL_VALUE,
"signed_data": JWS_SIGNED_VALUE
}
Use the following process to generate a Sidetree deactivate operation JSON document for the REST API, composed as follows:
- The object MUST contain a
type
property, and its value MUST bedeactivate
. - The object MUST contain a
did_suffix
property, and its value MUST be the DID Suffix of the DID the operation pertains to. - The object MUST contain a
recovery_reveal_value
property, and its value MUST be the last recovery COMMITMENT_VALUE. - The object MUST contain a
signed_data
property, and its value MUST be a IETF RFC 7515 compliant JWS object as defined in Anchor File for Deactivate operations.


Lorem ipsum dolor sit amet, consectetur adipiscing elit.
Correct
91%
Incorrect
5%
Skipped
1%
Time Spent
40:40:40
Avarage Accuracy
10%
Result


There should be a small button in the center of the screen.
When you add()
buttons (and other components)
to a content pane,
a layout manager automatically
decides what size they will be and where they will go.
This is convenient,
because you can add components
without worrying about the details.
The layout
manager is like a little artist inside the computer.

The layout manager sometimes makes odd choices. However, there are several kinds of layout managers. Each layout manager has a different style of positioning components. Usually there is a layout manager that will do the job you want. If you don't specify otherwise, a default layout manager is used.


Types of Data Visualisation 2D Area Dot Distribution Map Temporal: Time Series Multidimensional: Piechart Hierarchical: Tree Diagram Network: Matrix (Ref: Types of Data Visualisation) Dot Distribution Map Fig.2.1 - Example of Dot Distribution Map (Ref: Reference) Dot Distributon Map is a way of identifying spatial patterns1 or dispersal of information over a geographical region by using equal size dots on the map. Time Series Fig.2.2 - Example of Time Series (Ref: Reference) Time Series is a series of numerical information points in a sequential order. In investment, a time series trail the movement of the chosen points, for example, a security's cost over a predfined timeframe with information points recorded at regular intervals. Piechart Fig.2.3 - Example of Piechart (Ref: Reference) Piechart is a circle which is broken down into parts to show a proportion of data. Tree Diagram Fig.2.4 - Example of a Tree Diagram (Ref: Reference) A tree diagram is a method of picturing a hierarchical tree-like structure. It is usually used to illustrate family descendants or for business/organisational strucuture. Matrix Fig.2.5 - Illustraion of Matrix in Data Visualisation (Ref: Reference) A matrix diagram displays the link between concepts or problems. The link is shown at each intersection of rows and columns.


Play the notes in the correct order to win!
You win! Press start to play again.
You lose. Press start to play again.


{%extends "base/page.html"%} {%block title%}System information{%endblock%} {%block contents%}
Page generated on server: {{server}}
Page generated at: {% now "r" %}
Behind cache: {{behind_cache|yesno|capfirst}}
Cache server: {{cache_server}}
Client IP: {{client_ip}}


{% extends "articles/article.template.html" %} {% block title -%} I have used OAuth, and lived to tell the tale. {%- endblock %} {% block body -%} {%- include "articles/oauth.article.html" -%} {%- endblock %}


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| Internet Engineering Task Force | G. Luff |
| Internet-Draft | |
| Intended status: Informational | H. Andrews, Ed. |
| Expires: May 24, 2018 | Cloudflare, Inc. |
| November 20, 2017 |
Relative JSON Pointers
draft-handrews-relative-json-pointer-00
JSON Pointer is a syntax for specifying locations in a JSON document, starting from the document root. This document defines an extension to the JSON Pointer syntax, allowing relative locations from within the document.
This Internet-Draft is submitted in full conformance with the provisions of BCP 78 and BCP 79.
Internet-Drafts are working documents of the Internet Engineering Task Force (IETF). Note that other groups may also distribute working documents as Internet-Drafts. The list of current Internet-Drafts is at http://datatracker.ietf.org/drafts/current/.
Internet-Drafts are draft documents valid for a maximum of six months and may be updated, replaced, or obsoleted by other documents at any time. It is inappropriate to use Internet-Drafts as reference material or to cite them other than as "work in progress."
This Internet-Draft will expire on May 24, 2018.
Copyright (c) 2017 IETF Trust and the persons identified as the document authors. All rights reserved.
This document is subject to BCP 78 and the IETF Trust's Legal Provisions Relating to IETF Documents (http://trustee.ietf.org/license-info) in effect on the date of publication of this document. Please review these documents carefully, as they describe your rights and restrictions with respect to this document. Code Components extracted from this document must include Simplified BSD License text as described in Section 4.e of the Trust Legal Provisions and are provided without warranty as described in the Simplified BSD License.
JSON Pointer (RFC 6901 [RFC6901]) is a syntax for specifying locations in a JSON document, starting from the document root. This document defines a related syntax allowing identification of relative locations from within the document.
The key words "MUST", "MUST NOT", "REQUIRED", "SHALL", "SHALL NOT", "SHOULD", "SHOULD NOT", "RECOMMENDED", "MAY", and "OPTIONAL" in this document are to be interpreted as described in RFC 2119 [RFC2119].
A Relative JSON Pointer is a Unicode string (see RFC 4627, Section 3 [RFC4627]), comprising a positive integer, followed by either a '#' (%x23) character or a JSON Pointer (RFC 6901 [RFC6901]).
The separation between the integer prefix and the JSON Pointer will always be unambiguous, because a JSON Pointer must be either zero- length or start with a '/' (%x2F). Similarly, a JSON Pointer will never be ambiguous with the '#'.
The ABNF syntax of a Relative JSON Pointer is:
relative-json-pointer = positive-integer <json-pointer> relative-json-pointer =/ positive-integer "#" positive-integer = %x30 / %x31-39 *( %x30-39 ) ; "0", or digits without a leading "0"
where <json-pointer> follows the production defined in RFC 6901, Section 3 [RFC6901] ("Syntax").
Evaluation of a Relative JSON Pointer begins with a reference to a value within a JSON document, and completes with either a value within that document, a string corresponding to an object member, or integer value representing an array index.
Evaluation begins by processing the positive-integer prefix. This can be found by taking the longest continuous sequence of decimal digits available, starting from the beginning of the string, taking the decimal numerical value. If this value is more than zero, then the following steps are repeated that number of times: RFC 6901, Section 4 [RFC6901] ("Evaluation"), with the modification that the initial reference being used is the reference currently being held (which may not be root of the document).
If the remainder of the Relative JSON Pointer is a JSON Pointer, then evaluation proceeds as per
Otherwise (when the remainder of the Relative JSON Pointer is the character '#'), the final result is determined as follows:
The concerns surrounding JSON String representation of a Relative JSON Pointer are identical to those laid out in RFC 6901, Section 5 [RFC6901].
For example, given the JSON document:
{ "foo": ["bar", "baz"], "highly": { "nested": { "objects": true } } }
Starting from the value "baz" (inside "foo"), the following JSON strings evaluate to the accompanying values:
"0" "baz" "1/0" "bar" "2/highly/nested/objects" true "0#" 1 "1#" "foo"
Starting from the value {"objects":true} (corresponding to the member key "nested"), the following JSON strings evaluate to the accompanying values:
"0/objects" true "1/nested/objects" true "2/foo/0" "bar" "0#" "nested" "1#" "highly"
Unlike a JSON Pointer, a Relative JSON Pointer can not be used in a URI fragment identifier. Such fragments specify exact positions within a document, and therefore Relative JSON Pointers are not suitable.
In the event of an error condition, evaluation of the JSON Pointer fails to complete.
Evaluation may fail due to invalid syntax, or referencing a non- existent value. This specification does not define how errors are handled. An application of JSON Relative Pointer SHOULD specify the impact and handling of each type of error.
Relative JSON Pointers are intended as a companion to JSON Pointers. Applications MUST specify the use of each syntax separately. Defining either JSON Pointer or Relative JSON Pointer as an acceptable syntax does not imply that the other syntax is also acceptable.
The language and structure of this specification are based heavily on [RFC6901], sometimes quoting it outright.
This draft remains primarily as written and published by Geraint Luff, with only minor subsequent alterations under new editorship.
Evaluation of a given Relative JSON Pointer is not guaranteed to reference an actual JSON value. Applications using Relative JSON Pointer should anticipate this situation by defining how a pointer that does not resolve ought to be handled.
As part of processing, a composite data structure may be assembled from multiple JSON documents (in part or in full). In such cases, applications SHOULD ensure that a Relative JSON Pointer does not evaluate to a value outside the document for which is was written.
Note that JSON pointers can contain the NUL (Unicode U+0000) character. Care is needed not to misinterpret this character in programming languages that use NUL to mark the end of a string.
| [RFC2119] | Bradner, S., "Key words for use in RFCs to Indicate Requirement Levels", BCP 14, RFC 2119, DOI 10.17487/RFC2119, March 1997. |
| [RFC6901] | Bryan, P., Zyp, K. and M. Nottingham, "JavaScript Object Notation (JSON) Pointer", RFC 6901, DOI 10.17487/RFC6901, April 2013. |
| [RFC4627] | Crockford, D., "The application/json Media Type for JavaScript Object Notation (JSON)", RFC 4627, DOI 10.17487/RFC4627, July 2006. |
[CREF1]This section to be removed before leaving Internet-Draft status.


Demos and Tools for Project PANOPTES
An Introduction to Exoplanets
Detecting Exoplanets
Test your understanding
Project PANOPTES on GitHub


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s
- Variable in class PBEngine.
VSRad
save()
- Method in class PBEngine.Editor2.
Editor
saved
- Variable in class PBEngine.Editor2.
Editor
setCenter(Component)
- Method in class PBEngine.Editor2.
EditorWindow
setColor(Color)
- Method in class PBEngine.gameObjects.
gameObject
setDegrees(double)
- Method in class PBEngine.gameObjects.
gameObject
setDelta(long)
- Method in class PBEngine.
Supervisor
setEast(Component)
- Method in class PBEngine.Editor2.
EditorWindow
setFontSize(int)
- Method in class PBEngine.
Supervisor
Set the font size for all native UI elements
setH(int)
- Method in class PBEngine.Rendering.
Renderer
setHidden(boolean)
- Method in class PBEngine.gameObjects.
gameObject
setID(int)
- Method in class PBEngine.gameObjects.
gameObject
setImage(BufferedImage)
- Method in class PBEngine.gameObjects.
GameObject_img
setImage(String)
- Method in class PBEngine.Rendering.
Renderer
setLevelName()
- Method in class PBEngine.
Engine
setLocation(double, double)
- Method in class PBEngine.
Camera
setLocation(Point2D)
- Method in class PBEngine.gameObjects.
gameObject
setLog(String)
- Method in class PBEngine.
devkit
setLog(String)
- Method in class PBEngine.
devkit_empty
setLog(String)
- Method in interface PBEngine.
devkit_interface
setNorth(Component)
- Method in class PBEngine.Editor2.
EditorWindow
setParent(gameObject)
- Method in class PBEngine.gameObjects.
gameObject
setRadians(double)
- Method in class PBEngine.gameObjects.
gameObject
setShading(boolean)
- Method in class PBEngine.gameObjects.
gameObject
setSouth(Component)
- Method in class PBEngine.Editor2.
EditorWindow
settingsUI
- Class in
PBEngine.settings
settingsUI()
- Constructor for class PBEngine.settings.
settingsUI
setUIFont(Font)
- Static method in class PBEngine.
Supervisor
setVisible(boolean)
- Method in class PBEngine.
devkit_empty
setVisible(boolean)
- Method in interface PBEngine.
devkit_interface
setVolume(float)
- Method in class PBEngine.
AudioSource
setW(int)
- Method in class PBEngine.Rendering.
Renderer
setWest(Component)
- Method in class PBEngine.Editor2.
EditorWindow
shape
- Variable in class PBEngine.gameObjects.
gameObject
showMap
- Variable in class PBEngine.Rendering.
Renderer
showNoIDWarning
- Variable in class PBEngine.
objectManager
showSettingsUI(Supervisor)
- Static method in class PBEngine.settings.
settingsUI
showSettingsUI(Supervisor, boolean, boolean)
- Static method in class PBEngine.settings.
settingsUI
shutter
- Variable in class PBEngine.
VSRad
size
- Variable in class PBEngine.
Engine
size
- Variable in class PBEngine.gameObjects.
gameObject
size
- Variable in class PBEngine.Rendering.core.
renderContainer
size
- Variable in class PBEngine.
Supervisor
size
- Variable in class PBEngine.vfx.
engineWindow
sizex()
- Method in class PBEngine.Rendering.legacy.
LegacyRenderer
sizey()
- Method in class PBEngine.Rendering.legacy.
LegacyRenderer
sSi
- Variable in class PBEngine.Rendering.
Renderer
start()
- Method in class PBEngine.
Main
startFullTickTimer()
- Method in class PBEngine.
Engine
stop()
- Method in class PBEngine.
Main
stop()
- Method in class PBEngine.
Supervisor
stop(boolean)
- Method in class PBEngine.
Supervisor
stopAll()
- Method in class PBEngine.
Supervisor
sum
- Variable in class PBEngine.
VSRad
summon(int, int, String, String, double, Color, int)
- Method in class PBEngine.gameObjects.
gameObject
Supervisor
- Class in
PBEngine
Supervisor(int, boolean, Point2D, int, Point2D, HashMap<String, String>...)
- Constructor for class PBEngine.
Supervisor
Supervisor(int, boolean, Point2D, int, HashMap<String, String>...)
- Constructor for class PBEngine.
Supervisor
Supervisor(int, boolean, Point2D, HashMap<String, String>...)
- Constructor for class PBEngine.
Supervisor
Supervisor(int, boolean, Point2D, int)
- Constructor for class PBEngine.
Supervisor
Supervisor(int, boolean, Point2D)
- Constructor for class PBEngine.
Supervisor
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The standard I/O streams (input, output, and error)
are hookable, i.e. the streams can be redefined by the user by
calling SP_set_user_stream_hook()
and/or
SP_set_user_stream_post_hook()
.
These hook functions must be called before SP_initialize()
(see Initializing the Prolog Engine).
In custom built systems, they may be called in
the hook function SU_initialize()
. See The Application Builder.


MADCAT
The Package
The Euro Travel is a popular tourism in the Europe
Packages
Croatia-Hvar
Italy-Florence
Netherlands-Amsterdam
Croatia-Rovini
Italy-Florence
Netherlands-Amsterdam
Croatia-Rovini


CopyArray()
Syntax
Result = CopyArray(SourceArray(), DestinationArray())Description
Copy every elements of 'SourceArray()' into 'DestinationArray()'. After a successful copy, the two arrays are identical. The arrays must have the same number of dimensions.
Parameters
SourceArray() The array to copy from. DestinationArray() The array to copy to. Every element previously found in this array will be deleted. This array must be of the same type (native or structured) and the same number of dimensions of the source array.
Return value
Returns nonzero if the copy succeeded or zero if it failed.
Example
Dim Numbers(5) Dim NumbersCopy(10) Numbers(0) = 128 Numbers(5) = 256 Debug "Array size before copy: "+Str(ArraySize(NumbersCopy())) ; will print 10 CopyArray(Numbers(), NumbersCopy()) Debug "Array size after copy: "+Str(ArraySize(NumbersCopy())) ; will print 5 Debug NumbersCopy(0) Debug NumbersCopy(5)
See Also
CopyList(), CopyMap()
Supported OS
All


|
AAX SDK
2.3.1
Avid Audio Extensions Development Kit
|
#include <AAX_ICollection.h>
Interface to represent a plug-in binary's static description.
The AAX_ICollection interface provides a creation function for new plug-in descriptors, which in turn provides access to the various interfaces necessary for describing a plug-in. When a plug-in description is complete, it is added to the collection via the AddEffect method. The AAX_ICollection interface also provides some additional description methods that are used to describe the overall plug-in package. These methods can be used to describe the plug-in package's name, the name of the plug-in's manufacturer, and the plug-in package version.
Public Member Functions | |
| virtual | ~AAX_ICollection () |
| virtual AAX_IEffectDescriptor * | NewDescriptor ()=0 |
| Create a new Effect descriptor. More... | |
| virtual AAX_Result | AddEffect (const char *inEffectID, AAX_IEffectDescriptor *inEffectDescriptor)=0 |
| Add an Effect description to the collection. More... | |
| virtual AAX_Result | SetManufacturerName (const char *inPackageName)=0 |
| Set the plug-in manufacturer name. More... | |
| virtual AAX_Result | AddPackageName (const char *inPackageName)=0 |
| Set the plug-in package name. More... | |
| virtual AAX_Result | SetPackageVersion (uint32_t inVersion)=0 |
| Set the plug-in package version number. More... | |
| virtual AAX_IPropertyMap * | NewPropertyMap ()=0 |
| Create a new property map. More... | |
| virtual AAX_Result | SetProperties (AAX_IPropertyMap *inProperties)=0 |
| Set the properties of the collection. More... | |
| virtual AAX_IDescriptionHost * | DescriptionHost ()=0 |
| virtual const AAX_IDescriptionHost * | DescriptionHost () const =0 |
| virtual IACFDefinition * | HostDefinition () const =0 |
|
inlinevirtual |
|
pure virtual |
Create a new Effect descriptor.
Implemented in AAX_VCollection.
|
pure virtual |
Add an Effect description to the collection.
Each Effect that a plug-in registers with AAX_ICollection::AddEffect() is considered a completely different user-facing product. For example, in Avid's Dynamics III plug-in the Expander, Compressor, and DeEsser are each registered as separate Effects. All stem format variations within each Effect are registered within that Effect's AAX_IEffectDescriptor using AddComponent().
The AAX_eProperty_ProductID value for all ProcessProcs within a single Effect must be identical.
This method passes ownership of an AAX_IEffectDescriptor object to the AAX_ICollection. The AAX_IEffectDescriptor must not be deleted by the AAX plug-in, nor should it be edited in any way after it is passed to the AAX_ICollection.
| [in] | inEffectID | The effect ID. |
| [in] | inEffectDescriptor | The Effect descriptor. |
Implemented in AAX_VCollection.
|
pure virtual |
Set the plug-in manufacturer name.
| [in] | inPackageName | The name of the manufacturer. |
Implemented in AAX_VCollection.
|
pure virtual |
Set the plug-in package name.
May be called multiple times to add abbreviated package names.
| [in] | inPackageName | The name of the package. |
Implemented in AAX_VCollection.
|
pure virtual |
Set the plug-in package version number.
| [in] | inVersion | The package version numner. |
Implemented in AAX_VCollection.
|
pure virtual |
Create a new property map.
Implemented in AAX_VCollection.
|
pure virtual |
Set the properties of the collection.
| [in] | inProperties | Collection properties |
Implemented in AAX_VCollection.
|
pure virtual |
Get a pointer to an AAX_IDescriptionHost, if supported by the host
This interface is served by the AAX_ICollection in order to avoid requiring a new method prototype for the GetEffectDescriptions() method called from the AAX Library.
Implemented in AAX_VCollection.
|
pure virtual |
Get a pointer to an AAX_IDescriptionHost, if supported by the host
This interface is served by the AAX_ICollection in order to avoid requiring a new method prototype for the GetEffectDescriptions() method called from the AAX Library.
Implemented in AAX_VCollection.
|
pure virtual |
Get a pointer to an IACFDefinition, if supported by the host
This interface is served by the AAX_ICollection in order to avoid requiring a new method prototype for the GetEffectDescriptions() method called from the AAX Library.
The implementation of AAX_ICollection owns the referenced object. No AddRef occurs.
IACFDefinition::DefineAttribute() is not supported on this object
Implemented in AAX_VCollection.


Halleck Creek Ranch
Halleck Creek Ranch invites people with disabilities, and their families, to live a "Life without barriers" through the beneficial activity of therapeutic horseback riding. Horseback riding promotes a unique sense of freedom and mobility, allowing riders to imagine the future, and to enjoy the present, in a way they never thought possible.
You can find them
In the real world, here: 1740 Old Rancheria Road, Nicasio, CA
Through email here<EMAIL_ADDRESS>Remember:
You should contact Halleck Creek Ranch before donating any items.


The following block contains JSON data which will be used in a later block.
In this case, the object in the fence block will be stored in a data property
named doc
. The block's source is displayed since the block attribute show
is set on the block.
{ "title": "nenb example - set-title-with-data (updated w/json)" }
The full source for the block is show below.
```json { "title": "nenb example - set-title-with-data (updated w/json)" } ``` * name doc * show
The block below uses the data stored by the json
block above to set the
window title.
// set the document title from property set previously document.title = data.doc.title
This is the same data as from the json
block above, but in toml
format.
title2 = "nenb example - set-title-with-data (updated w/toml)"
Again, a JavaScript block is used to set the title from a data block previously set in the document.
// set the document title from property set previously document.title = data.doc2.title2


Linear Classification
Two disadvantages for KNN classifier:
-
remember all the training data and store it for future comparisons
-
Classify new test sample is expensive
Parameterized mapping from images to label scores
Score functions Maps the raw data to class scores
Assume traning dataset of images $x_i \in R^D$, each associated with a label $y_i$, here $ i = 1 \dots N$ and $y_i \in { 1 \dots K }$. That is, we have N samples and K distance label features. The score function $f: R^D \mapsto R^K$ that maps the raw image pixels to class scores.
Linear functions
Interpreting a linear classifier
Bias trick
$f(x_i, W, b) = W x_i + b$
Adding extra dimensions:
$f(x_i, W) = W x_i$
Loss functions
Quantifies the agreement between the predicted scores and the ground truth labels
Loss Function
Multiclass Support Vector Machine Loss
$L_i = \sum_{j\neq y_i} \max(0, s_j - s_{y_i} + \Delta) $
In summary, the SVM loss function wants the score of the correct class $y_i$ to be larger than the incorrect class scores by at least by Δ (delta). If this is not the case, we will accumulate loss.
The loss function quantifies our unhappiness with predictions on the training set
In this linear setting
$L_i = \sum_{j\neq y_i} \max(0, w_j^T x_i - w_{y_i}^T x_i + \Delta)$
Regularization
$ R(W) = \sum_k\sum_l W_{k,l}^2$
Total loss functions
$L = \frac{1}{N} \sum_i \sum_{j\neq y_i} \left[ \max(0, f(x_i; W)j - f(x_i; W){y_i} + \Delta) \right] + \lambda \sum_k\sum_l W_{k,l}^2$
Code implementation
SVM naive
def svm_loss_naive(W, X, y, reg):
"""
Structured SVM loss function, naive implementation (with loops).
Inputs have dimension D, there are C classes, and we operate on minibatches
of N examples.
Inputs:
- W: A numpy array of shape (D, C) containing weights.
- X: A numpy array of shape (N, D) containing a minibatch of data.
- y: A numpy array of shape (N,) containing training labels; y[i] = c means
that X[i] has label c, where 0 <= c < C.
- reg: (float) regularization strength
Returns a tuple of:
- loss as single float
- gradient with respect to weights W; an array of same shape as W
"""
dW = np.zeros(W.shape) # initialize the gradient as zero
# compute the loss and the gradient
num_classes = W.shape[1]
num_train = X.shape[0]
loss = 0.0
for i in xrange(num_train):
scores = X[i].dot(W) ## C*1 score
#dS = np.sum(X[i])
correct_class_score = scores[y[i]]
diff_count = 0
for j in xrange(num_classes):
if j == y[i]:
continue
margin = scores[j] - correct_class_score + 1 # note delta = 1
if margin > 0:
diff_count += 1 #count for all the incorrect
dW[:,j] += X[i] #gradient update for incorrect rows
loss += margin
dW[:,y[i]] += -diff_count* X[i]#gradient update for correct rows
# Right now the loss is a sum over all training examples, but we want it
# to be an average instead so we divide by num_train.
loss /= num_train
dW /= num_train
# Add regularization to the loss.
loss += 0.5 * reg * np.sum(W * W)
dW += reg*W
return loss, dW
SVM Vectorized
def svm_loss_vectorized(W, X, y, reg):
"""
Structured SVM loss function, vectorized implementation.
Inputs and outputs are the same as svm_loss_naive.
"""
loss = 0.0
dW = np.zeros(W.shape) # initialize the gradient as zero
num_train = X.shape[0]
scores = X.dot(W)
correct_class_score = scores[np.arange(num_train), y]
margins = np.maximum(0, scores - correct_class_score[:, np.newaxis] + 1)
margins[np.arange(num_train), y] = 0
loss = np.sum(margins)
loss /= num_train
loss += 0.5 * reg * reg * np.sum(W*W)
X_mask = np.zeros(margins.shape)
X_mask[margins > 0] = 1
incorrect_counts = np.sum(X_mask, axis=1)
X_mask[np.arange(num_train),y] = -incorrect_counts
dW = X.T.dot(X_mask)
dW /= num_train
dW += reg * W
return loss, dW
Softmax classifer
The Softmax classifier gives a slightly more intuitive output: normalized class probabilities
$L_i = -\log\left(\frac{e^{f_{y_i}}}{ \sum_j e^{f_j} }\right) \hspace{0.5in} \text{or equivalently} \hspace{0.5in} L_i = -f_{y_i} + \log\sum_j e^{f_j}$
Information theory view
The cross-entropy between a “true” distribution p and an estimated distribution q is defined as:
$H(p,q) = - \sum_x p(x) \log q(x)$
The Softmax classifier is hence minimizing the cross-entropy between the estimated class probabilities $q = e^{f_{y_i}} / \sum_j e^{f_j}$as seen above) and the “true” distribution, which in this interpretation is the distribution where all probability mass is on the correct class ($p = [0, \ldots 1, \ldots, 0]$ contains a single 1 at the yi y i-th position.)
Softmax naive
def softmax_loss_naive(W, X, y, reg):
"""
Softmax loss function, naive implementation (with loops)
Inputs have dimension D, there are C classes, and we operate on minibatches
of N examples.
Inputs:
- W: A numpy array of shape (D, C) containing weights.
- X: A numpy array of shape (N, D) containing a minibatch of data.
- y: A numpy array of shape (N,) containing training labels; y[i] = c means
that X[i] has label c, where 0 <= c < C.
- reg: (float) regularization strength
Returns a tuple of:
- loss as single float
- gradient with respect to weights W; an array of same shape as W
"""
# Initialize the loss and gradient to zero.
loss = 0.0
dW = np.zeros(W.shape)
# return loss, dW
# dW = np.zeros(W.shape) # initialize the gradient as zero
# compute the loss and the gradient
num_classes = W.shape[1]
num_train = X.shape[0]
loss = 0.0
for i in xrange(num_train):
scores = X[i].dot(W) ## C*1 score
scores -= np.max(scores)
correct_class_score = scores[y[i]]
sum_j = np.sum(np.exp(scores))
n = np.exp(correct_class_score)
loss -= np.log(n / sum_j)
for j in xrange(num_classes):
if j == y[i]:
dW[:,j] -= X[i]
pj = np.exp(scores[j]) / sum_j
dW[:,j] += pj * X[i]
loss /= num_train
dW /= num_train
# Add regularization to the loss.
loss += 0.5 * reg * np.sum(W * W)
dW += reg * W
return loss, dW
Softmax Vectorized
def softmax_loss_vectorized(W, X, y, reg):
"""
Softmax loss function, vectorized version.
Inputs and outputs are the same as softmax_loss_naive.
"""
# Initialize the loss and gradient to zero.
num_train = X.shape[0]
dW = np.zeros_like(W)
scores = X.dot(W)
scores -= np.max(scores,axis=1)[:,np.newaxis]
correct_class_score = scores[np.arange(num_train), y]
divide = np.sum(np.exp(scores),axis=1)
n = np.exp(correct_class_score)
error = -1 * np.log( n / divide)
loss = np.sum(error)
X_mask = np.exp(scores) / divide[:,np.newaxis]
#X_mask = np.zeros(error.shape)
X_mask[np.arange(num_train),y] -= 1
dW = X.T.dot(X_mask)
loss /= num_train
dW /= num_train
loss += 0.5 * reg * np.sum(W * W)
dW += reg * W
return loss, dW
Stochastic gradient Decent
class LinearClassifier(object):
def __init__(self):
self.W = None
def train(self, X, y, learning_rate=1e-3, reg=1e-5, num_iters=100,
batch_size=200, verbose=False):
"""
Train this linear classifier using stochastic gradient descent.
Inputs:
- X: A numpy array of shape (N, D) containing training data; there are N
training samples each of dimension D.
- y: A numpy array of shape (N,) containing training labels; y[i] = c
means that X[i] has label 0 <= c < C for C classes.
- learning_rate: (float) learning rate for optimization.
- reg: (float) regularization strength.
- num_iters: (integer) number of steps to take when optimizing
- batch_size: (integer) number of training examples to use at each step.
- verbose: (boolean) If true, print progress during optimization.
Outputs:
A list containing the value of the loss function at each training iteration.
"""
num_train, dim = X.shape[0], X.shape[1]
num_classes = np.max(y) + 1 # assume y takes values 0...K-1 where K is number of classes
if self.W is None:
# lazily initialize W
self.W = 0.001 * np.random.randn(dim, num_classes)
# Run stochastic gradient descent to optimize W
loss_history = []
for it in xrange(num_iters):
X_batch = None
y_batch = None
# evaluate loss and gradient
loss, grad = self.loss(X, y, reg)
loss_history.append(loss)
self.W += - grad * learning_rate
# perform parameter update
if verbose and it % 100 == 0:
print 'iteration %d / %d: loss %f' % (it, num_iters, loss)
return loss_history
def predict(self, X):
"""
Use the trained weights of this linear classifier to predict labels for
data points.
Inputs:
- X: D x N array of training data. Each column is a D-dimensional point.
Returns:
- y_pred: Predicted labels for the data in X. y_pred is a 1-dimensional
array of length N, and each element is an integer giving the predicted
class.
"""
y_pred = np.zeros(X.shape[1])
score = X.dot(self.W)
y_pred = np.argmax(score,axis=1)
return y_pred
def loss(self, X_batch, y_batch, reg):
"""
Compute the loss function and its derivative.
Subclasses will override this.
Inputs:
- X_batch: A numpy array of shape (N, D) containing a minibatch of N
data points; each point has dimension D.
- y_batch: A numpy array of shape (N,) containing labels for the minibatch.
- reg: (float) regularization strength.
Returns: A tuple containing:
- loss as a single float
- gradient with respect to self.W; an array of the same shape as W
"""
pass


const path = require('path');
const copyWorkboxSW = require('./utils/copy-workbox-sw');
const getFileManifestEntries = require('./get-file-manifest-entries');
const writeServiceWorker = require('./write-sw');
const errors = require('./errors');
/**
* This method will generate a working service worker with an inlined
* file manifest.
*
* @param {Object} input
* @param {String} input.swDest The file path and name you wish to writh the
* service worker file to.
* @param {String} input.globDirectory The directory you wish to run the
* `globPatterns` against.
* @param {Array<String>} input.globPatterns Files matching against any of
* these glob patterns will be included in the file manifest.
* @param {String|Array<String>} [input.globIgnores] Files matching against any
* of these glob patterns will be excluded from the file manifest, even if the
* file matches against a `globPatterns` pattern.
* @param {Object<String,Array|String>} [input.templatedUrls]
* If a URL is rendered with templates on the server, its contents may
* depend on multiple files. This maps URLs to an array of file names, or to a
* string value, that uniquely determines the URL's contents.
* @param {string} [input.navigateFallback] This URL will be used as a fallback
* if a navigation request can't be fulfilled. Normally this URL would be
* precached so it's always available. This is particularly useful for single
* page apps where requests should go to a single URL.
* @param {Array<Regexp>} [input.navigateFallbackWhitelist] An optional Array
* of regexs to restrict which URL's use the `navigateFallback` URL.
* @param {String} [input.cacheId] An optional ID to be prepended to caches
* used by workbox-build. This is primarily useful for local development where
* multiple sites may be served from the same `http://localhost` origin.
* @param {Boolean} [input.skipWaiting] When set to true the generated service
* worker activate immediately.
*
* Defaults to false.
* @param {Boolean} [input.clientsClaim] When set to true the generated service
* worker will claim any currently open pages.
*
* Defaults to false.
* @param {string} [input.directoryIndex] If a request for a URL ending in '/'
* fails, this value will be appended to the URL and a second request will be
* made.
*
* Defaults to 'index.html'.
* @param {Array<Object>} [input.runtimeCaching] Passing in an array of objects
* containing a `urlPattern` and a `handler` parameter will add the appropriate
* code to the service work to handle run time caching for URL's matching the
* pattern with the associated handler behavior.
* @param {String} [input.modifyUrlPrefix] An object of key value pairs
* where URL's starting with the key value will be replaced with the
* corresponding value.
* @param {Array<RegExp>} [input.ignoreUrlParametersMatching] Any search
* parameters matching against one of the regex's in this array will be removed
* before looking for a cache match.
* @param {Boolean} [input.handleFetch] When set to false all requests will
* go to the network. This is useful during development if you don't want the
* service worker from preventing updates.
*
* Defaults to true.
* @param {number} [input.maximumFileSizeToCacheInBytes] This value can be used
* to determine the maximum size of files that will be precached.
*
* Defaults to 2MB.
* @param {RegExp} [input.dontCacheBustUrlsMatching] Assets that match this
* regex will not have their revision details included in the precache. This
* is useful for assets that have revisioning details in the filename.
* @return {Promise} Resolves once the service worker has been generated
* with a precache list.
*
* @example <caption>Generate a service worker with precaching support.
* </caption>
* const swBuild = require('workbox-build');
*
* swBuild.generateSW({
* swDest: './build/sw.js',
* globDirectory: './build/',
* globPatterns: ['**\/*.{html,js,css}'],
* globIgnores: ['admin.html'],
* templatedUrls: {
* '/shell': ['shell.hbs', 'main.css', 'shell.css'],
* },
* })
* .then(() => {
* console.log('Service worker generated.');
* });
*
* @memberof module:workbox-build
*/
const generateSW = function(input) {
if (!input || typeof input !== 'object' || Array.isArray(input)) {
return Promise.reject(new Error(errors['invalid-generate-sw-input']));
}
// Type check input so that defaults can be used if appropriate.
if (input.globIgnores && !(Array.isArray(input.globIgnores))) {
return Promise.reject(
new Error(errors['invalid-glob-ignores']));
}
if (typeof input.globDirectory !== 'string' ||
input.globDirectory.length === 0) {
return Promise.reject(
new Error(errors['invalid-glob-directory']));
}
if (typeof input.swDest !== 'string' || input.swDest.length === 0) {
return Promise.reject(
new Error(errors['invalid-sw-dest']));
}
if (input.runtimeCaching && !(Array.isArray(input.runtimeCaching))) {
return Promise.reject(
new Error(errors['invalid-runtime-caching']));
}
const globDirectory = input.globDirectory;
input.globIgnores = input.globIgnores || [];
const swDest = input.swDest;
let workboxSWPath;
let destDirectory = path.dirname(swDest);
return copyWorkboxSW(destDirectory)
.then((libPath) => {
// If sw file is in build/sw.js, the workboxSW file will be
// build/workboxSW.***.js. So the sw.js file should import workboxSW.***.js
// (i.e. not include build/).
workboxSWPath = path.relative(destDirectory, libPath);
input.globIgnores.push(libPath);
input.globIgnores.push(swDest);
})
.then(() => {
return getFileManifestEntries(input);
})
.then((manifestEntries) => {
return writeServiceWorker(
swDest,
manifestEntries,
workboxSWPath,
globDirectory,
input
);
});
};
module.exports = generateSW;


Before we give the numerical solution for the continuous spectrum, we consider some approximations that can be made when solving continuous spectrum.


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