A classic navigation.
This is an example of a form which updates a resource. No redirect, and no history. The server response simply updates the container.
This is an example of a form submit that redirects the user's browser, setting the history and allowing the user to back.
This is the container. Use the examples to make it change :-).


public class ExpireSnapshotsAction
extends java.lang.Object
ExpireSnapshots
but uses Spark
to determine the delta in files between the pre and post-expiration table metadata. All of the same
restrictions of Remove Snapshots also apply to this action.
This implementation uses the metadata tables for the table being expired to list all Manifest and DataFiles. This is made into a Dataframe which are anti-joined with the same list read after the expiration. This operation will require a shuffle so parallelism can be controlled through spark.sql.shuffle.partitions. The expiration is done locally using a direct call to RemoveSnapshots. The snapshot expiration will be fully committed before any deletes are issued. Deletes are still performed locally after retrieving the results from the Spark executors.
| Modifier and Type | Method and Description |
|---|---|
protected org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> |
buildManifestFileDF(org.apache.spark.sql.SparkSession spark,
java.lang.String tableName) |
protected org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> |
buildManifestListDF(org.apache.spark.sql.SparkSession spark,
java.lang.String metadataFileLocation) |
protected org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> |
buildManifestListDF(org.apache.spark.sql.SparkSession spark,
Table table) |
protected org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> |
buildOtherMetadataFileDF(org.apache.spark.sql.SparkSession spark,
TableOperations ops) |
protected org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> |
buildValidDataFileDF(org.apache.spark.sql.SparkSession spark) |
protected org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> |
buildValidDataFileDF(org.apache.spark.sql.SparkSession spark,
java.lang.String tableName) |
protected org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> |
buildValidMetadataFileDF(org.apache.spark.sql.SparkSession spark,
Table table,
TableOperations ops) |
ExpireSnapshotsAction |
deleteWith(java.util.function.Consumer<java.lang.String> newDeleteFunc)
The Consumer used on files which have been determined to be expired.
|
ExpireSnapshotsActionResult |
execute()
Executes this action.
|
ExpireSnapshotsAction |
executeDeleteWith(java.util.concurrent.ExecutorService executorService)
An executor service used when deleting files.
|
org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> |
expire()
Expires snapshots and commits the changes to the table, returning a Dataset of files to delete.
|
ExpireSnapshotsAction |
expireOlderThan(long timestampMillis)
Expire all snapshots older than a given timestamp.
|
ExpireSnapshotsAction |
expireSnapshotId(long expireSnapshotId)
A specific snapshot to expire.
|
protected java.util.List<java.lang.String> |
getManifestListPaths(java.lang.Iterable<Snapshot> snapshots)
Returns all the path locations of all Manifest Lists for a given list of snapshots
|
protected java.util.List<java.lang.String> |
getOtherMetadataFilePaths(TableOperations ops)
Returns all Metadata file paths which may not be in the current metadata.
|
protected java.lang.String |
metadataTableName(MetadataTableType type) |
protected java.lang.String |
metadataTableName(java.lang.String tableName,
MetadataTableType type) |
ExpireSnapshotsAction |
retainLast(int numSnapshots)
Retain at least x snapshots when expiring
Identical to
ExpireSnapshots.retainLast(int) |
ExpireSnapshotsAction |
streamDeleteResults(boolean stream)
By default, all files to delete are brought to the driver at once which may be an issue with very long file lists.
|
protected Table |
table() |
protected Table table()
public ExpireSnapshotsAction streamDeleteResults(boolean stream)
stream
- whether to use toLocalIterator to stream results instead of collect.public ExpireSnapshotsAction executeDeleteWith(java.util.concurrent.ExecutorService executorService)
ExpireSnapshots.executeDeleteWith(ExecutorService)
executorService
- the service to usepublic ExpireSnapshotsAction expireSnapshotId(long expireSnapshotId)
ExpireSnapshots.expireSnapshotId(long)
expireSnapshotId
- Id of the snapshot to expirepublic ExpireSnapshotsAction expireOlderThan(long timestampMillis)
ExpireSnapshots.expireOlderThan(long)
timestampMillis
- all snapshots before this time will be expiredpublic ExpireSnapshotsAction retainLast(int numSnapshots)
ExpireSnapshots.retainLast(int)
numSnapshots
- number of snapshots to leavepublic ExpireSnapshotsAction deleteWith(java.util.function.Consumer<java.lang.String> newDeleteFunc)
ExpireSnapshots.deleteWith(Consumer)
newDeleteFunc
- Consumer which takes a path and deletes itpublic org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> expire()
This does not delete data files. To delete data files, run execute()
.
This may be called before or after execute()
is called to return the expired file list.
public ExpireSnapshotsActionResult execute()
Action
protected org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> buildValidDataFileDF(org.apache.spark.sql.SparkSession spark)
protected org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> buildValidDataFileDF(org.apache.spark.sql.SparkSession spark, java.lang.String tableName)
protected org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> buildManifestFileDF(org.apache.spark.sql.SparkSession spark, java.lang.String tableName)
protected org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> buildManifestListDF(org.apache.spark.sql.SparkSession spark, Table table)
protected org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> buildManifestListDF(org.apache.spark.sql.SparkSession spark, java.lang.String metadataFileLocation)
protected org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> buildOtherMetadataFileDF(org.apache.spark.sql.SparkSession spark, TableOperations ops)
protected org.apache.spark.sql.Dataset<org.apache.spark.sql.Row> buildValidMetadataFileDF(org.apache.spark.sql.SparkSession spark, Table table, TableOperations ops)
protected java.lang.String metadataTableName(MetadataTableType type)
protected java.lang.String metadataTableName(java.lang.String tableName, MetadataTableType type)
protected java.util.List<java.lang.String> getManifestListPaths(java.lang.Iterable<Snapshot> snapshots)
snapshots
- snapshotsprotected java.util.List<java.lang.String> getOtherMetadataFilePaths(TableOperations ops)
ops
- TableOperations for the table we will be getting paths from


Follow the steps below to create, implement, and deploy a custom widget.
Learn more.
-
Open the terminal, navigate to the location where you want to save the widget, and execute the following command to download the code scaffold:
-
Navigate to the newly created folder with the widget’s code scaffold:
-
Open the folder in the code editor of choice. For example:
-
Install the dependencies:
-
Start the project:
-
Implement the code of the widget and test it locally.
-
Deploy the custom widget to the developer portal in your API Management service:


BattleTech 'Heavy Metal' expansion now available
BattleTech's newest expansion comes with eight new mechs and a new Flashpoint campaign.
by Jennifer LockeSource: Paradox Interactive
What you need to know
- BattleTech is a turn-based strategy game where players control armored combat vehicles called battlemechs.
- Its Heavy Metal expansion is now available.
- This expansion adds 8 new battlemechs and new weapons systems.
BattleTech's newest expansion is available starting today. The turned-based strategy game is adding a handful of new battlemechs alongside a new weapons system and a Flashpoint campaign that will bring you "face-to-face with two legendary characters from BattleTech lore."
In addition, update 1.8 brings some new free features and content, one of which being official mod support. Paradox warns players to mod at their own risk because although new mod management UI has been included, in-game modding tools are not.
According to a press release from Paradox Interactive, players will also be treated to:
Classic BattleMechs
- MARAUDER (75 Tons): perhaps the most iconic 'Mech in BattleTech, known for its ability to hang back and snipe from a distance. Its Lance Command Module decreases the damage taken by it and its allies and gives a boost to Called Shots.
- WARHAMMER (70 Tons): known for dealing devastating particle cannon strikes, it exists to destroy other 'Mechs quickly and efficiently. Its Optimized Capacitor Feeds increase the damage of all equipped Energy weapons.
- New Maps: Two new maps bring even more variety to your contracts: Jumbled Karst (an iconic rock formation set between two valleys), and Boulder Field (rolling hills and rocks dot this battle scarred landscape)
- New contracts: Over 40 new contracts, including new recurring allied and enemy NPCs, and new contract variants that mix up the missions you've seen in new and unexpected ways. Battle a dangerous solo mercenary, train a group of overly enthusiastic rookies, and serve as the personal bodyguard of an arrogant noble.
- New Events: We've added a slew of new mercenary travel Events to "enhance" your mercenary life.
- New Star Map Weapon Store Filters: We've added a new filter dropdown to the star map that lets you view planetary industry by type and a tooltip that tells you what you can find in each star system.
- Rebalanced Stores & LosTech: We've completely overhauled how weapons and equipment appear in our stores. Finding items is now more straightforward. We've also given LosTech items a boost in power to fit their legendary status.
- New Mech Viewer Get a close-up, rotatable view of your 'Mech and customize its paint pattern directly in the Mech Lab!
- New Merc Company Crests Scads of new emblems to choose from for your mercenary company, drawn from notable factions throughout the Inner Sphere. Roleplay your heart out!
Get more Xbox
Xbox
- Xbox One S vs. Xbox One X: Which should you buy?
- Best Xbox One X and Xbox One S Accessories
- Best Xbox One Headsets 2019
- Best Xbox One Wireless Headsets 2019
- Best Xbox Controller Charging Stations in 2019
We may earn a commission for purchases using our links. Learn more.


{{< layout}} {{$pageTitle}}Below 16{{/pageTitle}} {{$header}}
You must be 16 or older to use this service.
Your date of birth: 30 October 2017 Change
If your date of birth is correct, you need to use a different service.
{{/content}} {{/ layout}}


!= include('custom_css'); ?>
Logged in as = Session.getActiveUser().getEmail(); ?>
!= templatePart('part_navbar'); ?>
!= include('part_home'); ?>
×
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HTML5 Tetris written by Choongmin Lee
<EMAIL_ADDRESS>Almost compliant with
the Tetris Guideline.
T-spin recognition is nearly 3-corner T no kick,
but will register on a triple.
The game has three play modes and goals as follows:
Marathon (score the most throughout the 15 levels)
Ultra (score the most in 3 minutes)
Sprint (clear 40 lines as fast as possible)
It is currently on development.
You can find the source code on
GitHub.
BACK
Sound On
Your browser doesn't support Web Audio API or cannot play any of MP3,
Ogg, or WAV files.


Posted by Gaurav chauhan
Last updated 3 mins ago
Posted by someone
Posted by Hrishikesh agarwal
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Configure Jail Environment
Configure Bhyve Environment
Global Settings ...
Nodes ...
Repository ...
Base list


Master de II. ULL. 1er cuatrimestre. 2020/2021
Create simple HTTP ETags
This module generates HTTP ETags (as defined in RFC 7232) for use in HTTP responses.
This is a Node.js module available through the
npm registry. Installation is done using the
npm install
command:
1
$ npm install etag
1
var etag = require('etag')
Generate a strong ETag for the given entity. This should be the complete
body of the entity. Strings, Buffer
s, and fs.Stats
are accepted. By
default, a strong ETag is generated except for fs.Stats
, which will
generate a weak ETag (this can be overwritten by options.weak
).
1
res.setHeader('ETag', etag(body))
etag
accepts these properties in the options object.
Specifies if the generated ETag will include the weak validator mark (that
is, the leading W/
). The actual entity tag is the same. The default value
is false
, unless the entity
is fs.Stats
, in which case it is true
.
1
$ npm test
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$ npm run-script bench
><EMAIL_ADDRESS>bench nodejs-etag
> node benchmark/index.js
<EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS><EMAIL_ADDRESS>modules@48
<EMAIL_ADDRESS>> node benchmark/body0-100b.js
100B body
4 tests completed.
buffer - strong x 258,647 ops/sec ±1.07% (180 runs sampled)
buffer - weak x 263,812 ops/sec ±0.61% (184 runs sampled)
string - strong x 259,955 ops/sec ±1.19% (185 runs sampled)
string - weak x 264,356 ops/sec ±1.09% (184 runs sampled)
> node benchmark/body1-1kb.js
1KB body
4 tests completed.
buffer - strong x 189,018 ops/sec ±1.12% (182 runs sampled)
buffer - weak x 190,586 ops/sec ±0.81% (186 runs sampled)
string - strong x 144,272 ops/sec ±0.96% (188 runs sampled)
string - weak x 145,380 ops/sec ±1.43% (187 runs sampled)
> node benchmark/body2-5kb.js
5KB body
4 tests completed.
buffer - strong x 92,435 ops/sec ±0.42% (188 runs sampled)
buffer - weak x 92,373 ops/sec ±0.58% (189 runs sampled)
string - strong x 48,850 ops/sec ±0.56% (186 runs sampled)
string - weak x 49,380 ops/sec ±0.56% (190 runs sampled)
> node benchmark/body3-10kb.js
10KB body
4 tests completed.
buffer - strong x 55,989 ops/sec ±0.93% (188 runs sampled)
buffer - weak x 56,148 ops/sec ±0.55% (190 runs sampled)
string - strong x 27,345 ops/sec ±0.43% (188 runs sampled)
string - weak x 27,496 ops/sec ±0.45% (190 runs sampled)
> node benchmark/body4-100kb.js
100KB body
4 tests completed.
buffer - strong x 7,083 ops/sec ±0.22% (190 runs sampled)
buffer - weak x 7,115 ops/sec ±0.26% (191 runs sampled)
string - strong x 3,068 ops/sec ±0.34% (190 runs sampled)
string - weak x 3,096 ops/sec ±0.35% (190 runs sampled)
> node benchmark/stats.js
stat
4 tests completed.
real - strong x 871,642 ops/sec ±0.34% (189 runs sampled)
real - weak x 867,613 ops/sec ±0.39% (190 runs sampled)
fake - strong x 401,051 ops/sec ±0.40% (189 runs sampled)
fake - weak x 400,100 ops/sec ±0.47% (188 runs sampled)


ConverterBuilder
Table of Contents
- $calculator : CalculatorInterface
- $defaultMeasurements : array<string|int, mixed>
- $registry : UnitRegistryInterface
- __construct() : self
- Public constructor method.
- addBinaryCalculator() : self
- Sets the converter's calculator as the binary implementation.
- addDefaultRegistry() : self
- Seeds the converter's registry with all default units provided with this package.
- addRegistryFor() : self
- Seeds the converter's registry with all units of the given measurement type that are provided with this package.
- addRegistryWith() : self
- Seeds the converter's registry with a user-defined subset of units.
- addSimpleCalculator() : self
- Set's the converter's calculator as the simple implementation provided with this package.
- build() : UnitConverter
- Retrieve a new instance of the unit converter with the configured registry & calculator.
Properties
$calculator
private
CalculatorInterface
$calculator
$defaultMeasurements
private
array<string|int, mixed>
$defaultMeasurements
$registry
private
UnitRegistryInterface
$registry
Methods
__construct()
Public constructor method.
public
__construct() : self
Return values
self —addBinaryCalculator()
Sets the converter's calculator as the binary implementation.
public
addBinaryCalculator() : self
Return values
self —addDefaultRegistry()
Seeds the converter's registry with all default units provided with this package.
public
addDefaultRegistry() : self
Return values
self —addRegistryFor()
Seeds the converter's registry with all units of the given measurement type that are provided with this package.
public
addRegistryFor(string $measurement) : self
Parameters
- $measurement : string
-
The type of measurement to seed units for.
Return values
self —addRegistryWith()
Seeds the converter's registry with a user-defined subset of units.
public
addRegistryWith([array<string|int, UnitInterface> $units = [] ]) : self
Parameters
- $units : array<string|int, UnitInterface> = []
-
An array of units to add to the registry.
Return values
self —addSimpleCalculator()
Set's the converter's calculator as the simple implementation provided with this package.
public
addSimpleCalculator() : self
Return values
self —build()
Retrieve a new instance of the unit converter with the configured registry & calculator.
public
build() : UnitConverter


Graduation
-The objective of talking about graduation is to show parents and students what is expected of them, payment options, location and how to properly use Naviance to prepare for their future.
You and your teen: two different worlds, two different perspectives and a giant disconnect that can make communicating a real mystery. Parents will learn helpful strategies to recognize and break through the barriers to communicating with a teenager through the adolescent years. Presentation by WCPSS Office of Family Engagement.
Registration and Four-Year Planning - Come learn about registration for the 20-21 school year and how to map out your student's four-year plan.
School Counselor
Dean of Students
Populations Coordinator


This rewrite system is a working version of anharmonic lambda, or kali (older: kaleidoscope). The goal is to find a version which contains both chemlambda v2 and em-convex. All rewrites are chosen from emergent algebra considerations. See this tool to choose DIST rewrites. It is amazing that it can reduce lambda terms. In this version a choice of rewrites avoid the need of "brutal" form of eta reduction, related to the Reidemester 2 moves. Work in progress because as the name tells, a completely symmetrical version should have 24 nodes. This version is better suited to lambda calculus. For a much more wild and interesting version see the sister page here. (Updated in tandem.)


Why Choosing the Right Storage Infrastructure.
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Hello. I’m John Doe 25 years old Graphic Designer
specialize in mobile apps from Warsaw, Poland.
Just 6ix Weeks
Just 6ix Weeks is a fitness app PSD template.
Just 6ix Weeks looks sleek, modern and has fully
editable 6 screens ready to use for your next design project.
Ventas UI Kit
Ventas is designed for travel magazines and readers to share their experience. This UI Kit with 6 fully customizable screens.
Faumail
Faumail is a clean looking mobile UI kit for mail app design including high quality 6 screens. This incredible design theme can help you create great looking mobile app.


This isn't right.

Now.


NATURAL BORN KILLERS A film review by David Gregory Platt Copyright 1994 David Gregory Platt
Oliver Stone's NATURAL BORN KILLERS is both less and more than you'd expect. Less in that the violence is not of the disgusting gore variety that it's been trumped up as, and more in that disturbing images and ideas are presented at a quick-cut, insane pace.
The story is already famous, or infamous. Micky (Woody Harrelson) and Mallory (Juliette Lewis) Knox are two young, charismatic outlaws who kill everybody that gets in their way (leaving, of course, one behind to tell who did it). Stone catches them midway into their spree, with a freakish sceve in a roadside diner. From there, the carnage continues, with several road sequences in which Mick and Mallory do little more than slaughter people and profess their love for each other.
The pair's story is taken up by Wayne Gale (Robert Downey Jr.), host of the fictional trash TV show "American Maniacs" (think Geraldo with a touch of Rupert Murdoch). Having used tasteless remakes of the two's crimes to great ratings reward, Gale inadvertently makes them media heroes, with a worldwide following (one montage shows mall kids from major capitols praising the pair as icons, lampooning the global MTV mentality).
In addition to the TV parodies, the movie is filmed in several different stocks, from 16mm to regular film. Intercut are flashes of bizarre footage (everything from the famous eye from 2001 to cheap-looking monsters and demons) that sometimes comment on the action, sometimes not. As well, the killers' odyssey through the southwest is not always presented literally, but with strange rear projection behind their vintage Dodge. These techniques recalls Stone's own JFK, in which the inserts and effects were used as visual aids to otherwise dull pieces of evidence. Here they are less coherent, and seem to emerge from some bizarre shared mindset of Micky & Mallory.
Micky & Mallory are eventually tracked down by superstar cop Jack Scagnetti (Tom Sizemore), who understands the psychopaths far too well. The capture is presented as an event predetermined by the media, eerily predicting the O. J. Simpson hysteria (the film does feature an obligatory O. J. reference, but no doubt this scene predates it.)
The final sequence, with a live interview by Wayne Gale and a subsequent prison riot, all shown live during the Superbowl, tends to drag a bit. Although Tommy Lee Jones adds color as a sneering warden, the prison scenes are bogged down by the endless carnage and Micky's speech explaining his philosophy. It's hard to tell whether or not the diatribe is satire: it's insane, but not too off the mark, and Stone films it in the same solemn fashion as Kevin Costner's final remarks in JFK. Maybe Stone is lampooning himself.
The multimedia technique is disorienting, but it's not new. To anyone who's ever seen a Guns 'N' Roses video, it's nothing you haven't seen before. It is so unrelenting that the movie's flow suffers for it In his "Entertainment Weekly" review, Owen Glieberman suggested that it denies Micky and Mallory "'reality.'" However, without this "reality," there's no point where you can latch hold and get into the story, so instead it simply goes over you like an endless barrage. What suffers most are the TV parodies. (There's nothing new to them, either: stylistic parodies date back to MOBY DICK) The American Maniacs sequence is shot through with pointless cuts to the black- and-white footage. It also ruins the illusion in the infamous sitcom scenes, in which Mallory's horrific past with her abusive father (Rodney Dangerfield) is presented on garish video and with a laughtrack.
Dangerfield's performance leads the pack in a movie with some strong, over-the-top satirical acting. Dangerfield unleashes the brutality that has been hiding in his comedy for a long time, and essentially makes you forget the stunt casting apparent in the choice. If Scorsese's watching, he should consider him for a mobster role. Similarly, Harrelson erases all memories of his kindly persona on "Cheers." Juliette Lewis is good as always (although she may be in danger of being typecast as a female Travis Bickle type), and Tom Sizemore plays Scagnetti as a perverse Scorsese thug (if that's possible). Tommy Lee Jones, representing a more banal evil than the Knoxes, plays the warden as a hardened refugee from a '70s crime-as-big-social-problem movie. Russell Means, as an old Indian Shaman, provides a small bit of gentle humour in the only natural, human performance in the movie. The only weak performance is by Robert Downey, Jr., who hits too many wrong cartoonish notes.
(A note about the music: instead of a musical score, the movie features a mix of popular songs from Leonard Cohen to The Specials, supervised by Nine Inch Nails frontman Trent Reznor. The practise is not as revolutionary as it's been touted, and has been done to much better effect in GOODFELLAS, among others.)
NATURAL BORN KILLERS is the first "critic-proof" art movie since 2001. Simply put, those who don't itlike will be told they "don't understand it." However, unlike 2001, it's the director's ineptness, not his skill, that makes it hard to understand.
.
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


{% extends "base.html" %} {% load static %}{% load i18n %} {% block title %} Info {% endblock %} {% block description %} Quran, All translations in serveral languages, Browsing the full Quran in the Original Text and its translations in various languages by various renowned scholars around the globe. A large collection of translations from various authors have been included in this site to compare the meanings and understand. Having discussion by adding Comments, Questions, Translations, Explanations, History of Verses in order to better help in understanding the message of Quran. Users may register to contribute to any of the verses with the help of references from available materials. Ability to search within the verses of Quran, its translations as well as comments in many languages. All texts, translations and comments of users can be searched efficiently to provide relevant results.{% endblock %} {% block keywords %} Quran, translations, several languages {% endblock %} {% block content %}
The Holy Quran is the word of Allah (the God) revealed to the prophet Muhammad (pbuh) during his life time at Mecca and Medina as a guidence to the human kind. It is widely regarded as the finest piece of literature in Arabic language. The Quran’s message is errorless and don't have any contradictions. It has the set of instructions for mankind for their life and the hereafter. Various scholars have published research, translations and commentaries to better realize and understand the Holy Quran. The Quran contains signs and indication for those who search for truth.
This site takes a humble attempt to provide a set of facilities for comprehensive research on Quran and available materials as well as allow discussions for better understanding.
The site contains tools such as,
1. Browsing the full Quran in the Original Text and its translations in various languages by various renowned scholars around the globe.
A large collection of translations from various authors have been included in this site to compare the meanings and understand.
2. Ability to search within the verses of Quran, its translations as well as comments in many languages.
All texts, translations and comments of users can be searched efficiently to provide relevant results.
3. Having discussion by adding Comments, Questions, Translations, Explanations, History of Verses in order to better help in understanding the message of Quran.
Users may register to contribute to any of the verses with the help of references from available materials.
All rights and credits for the translations belong to respective translators, scholars and maintainers.
Original Text, and most of its translations and transliteration data sources include
www.qurandatabase.org,
www.tanzil.info,
www.theholyquran.org,
Zekr project, zekr.org,
islam.googlecode.com/files/quran_bangla.sql.zip,
quran-online.net,
www.islamforbulgaria.com,
www.islamware.com,
www.theholyquran.org,
www.rojakurdi.com/Kurdi/quran.html
Bosnian and Turkish web sites,
and many other sources.
I would like to acknowledge gratitude to almighty Allah (swt) for allowing the efforts to make this website possible.
It has been largely helped by the open source Muslim community databases and technologies that are maintained by several
generous people around the world. Also many of my friends and my mother have given me useful pointers and advice.
Close collaboration has been given by S. T. Rumy on many different issues.
Also a number of suggestions and help has been received from Y. A. Farhad.
I am working to make it accurate, more informative and featureful. Your questions and feedbacks are highly appreciated.
Feel free to mail me at<EMAIL_ADDRESS>Abdullah Al Zakir Hossain (Mahbub)
{% endblock %}


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welcome to GAGETRAVEL,
Travelling to Andamans, watch the video to know why you need us...


Alfred, csshx and terminalception
I use Tmux usually but Tmux on the mac has not been playing nice with csshx for me.
But I wasn’t about to let that take away my terminalception magic :)
Note: This is for a mac environment but you may emulate it in your favourite distro by replacing Alfred with whatever launcher you may use.
What you need
Alfred app is my favorite launcher in mac but I suspect Quicksilver (if you are the quaint type) can also run commands directly to the terminal.
Next install Homebrew. You need this to install csshx easily. Also because GNU tools :)
ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
Install csshx
brew install csshx
If you are chef shop like mine, a lot of times what you are looking for is to ssh to all the machines of a certain type. In chef, we call those roles. This step will change depending on the configuration management/service discovery framework of choice in your infrastructure.
First, set the terminal app your alfred will use. I set it to Terminal because I wanted this to be separate from my usual workspace in iTerm 2
Then, when I want to fire up csshX to a bunch of our our servers all at once, it usually looks like this.
Protip: knife ssh can take cssh as an argument, so no awk and bash pipes required.
This fires up Terminal, which runs the chef search, and opens separate windows.
Your cursor will be in the bottom red window by default and input will appear in all the windows at the same time. When done, CMD+Q will bring this window
And done :)


| Assignment Number | Description | Link |
|---|---|---|
| 1 | Account Setup | This Index |
| 2 | HTML 5 | Brian's Flowers |
| 3 | JavaScript and Forms | Brian's Flowers |
| 4 | JavaScript | Team RedX |
| 5 | Ajax and JSON | Team RedX |
| 6 | JQuery | index.html |
| 7 | JavaFX | HW7 Runnable jar |
| 8 | JavaFX - UI | HW8 Runnable jar |
| 9 | JavaFX - Menu, Toolbar, Dialogs | HW9 Runnable jar |
| 10 | GUI & Database | HW10 Runnable jar |
| 11 | Java Server Page | Brian's Flowers |
| 12 | Servlets | Brian's Flowers |


OAuthScope
public enum OAuthScope: String
OAuth Scopes
-
Default, private activities are not returned, privacy zones are respected in stream requests.
Declaration
Swift
case Public = "public"
-
Modify activities, upload on the user’s behalf.
Declaration
Swift
case Write = "write"
-
View private activities and data within privacy zones.
Declaration
Swift
case Private = "view_private"
-
Both ‘view_private’ and ‘write’ access.
Declaration
Swift
case PrivateWrite = "view_private,write"


org.jsimpledb.kv.raft
Classes
FileWriter
(0%)
Follower
(0%)
LogEntry
(0%)
RaftKVDatabase
(0%)
RaftKVTransaction
(0%)
SnapshotReceive
(0%)
SnapshotTransmit
(0%)
Timestamp
(67%)
TxState
(0%)
Util
(0%)
package-info
(N/A)


Better Managing Infrastructure Dual System Complexity Through Design Prototyping
PhD 2018
Encouraging More Green Building Adoption in Kuwait: An Assessment of Risk and Choice Interventions
PhD 2018
Predicting Energy Savings: A Mix Methods Approach to More Accurate Energy Forecasts
MS 2017, PhD 2019
Engineering Design Cognition: An Investigation Using Functional Near Infrared Spectroscopy
MS 2017, PhD 2019
Cognitive Barriers to Energy Efficient Decision Making in US Coast Guard Facility Management
MS 2016
Educational Case Studies About the Envision Rating System for Sustainable Infrastructure
MS 2017
Beyond Group Think: Bridging Advances in Decision Sciences to Emerging Technologies in AEC Industry
MS 2017
Tripp Shealy • Department of Civil and Environmental Engineering • Virginia Tech
© 2016


panel
Panel title
Panel-headline
Panel-headline
panel-headline
Panel content
Panel title
Panel-headline
Panel-headline
panel-headline
Panel content
Level 1
Panel-headline
Panel-headline
panel-headline
Panel content
Level 2
Panel-headline
Panel-headline
panel-headline
Panel content
Level 1
Panel-headline
Panel-headline
panel-headline
Panel content
Level 2
Panel-headline
Panel-headline
panel-headline
Panel content


Text, Email and Password inputs as well as textareas are considered to be text inputs. Therefore they all extend on .text-input
class which is to be applied also to any contenteditable="true"
elements.
Custom selects rely on a strict markup structure: select itself needs .select__el
class and requires to be wrapped with a span.select
.


Test page for Markdown formatting
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Illo itaque, totam labore est accusamus ut atque voluptatum odit doloremque dolores suscipit ad reprehenderit vero pariatur debitis laboriosam enim soluta vel.
This is heading 2
This is a paragraph. Lorem ipsum dolor sit amet, consectetur adipisicing elit. Eius dolore quasi, ex repellat.
This is heading 3
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Eius dolore quasi, ex repellat. Placeat, expedita odio earum vero sit quos quidem, eos tempora. Recusandae laudantium nostrum possimus assumenda placeat natus.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Hic, exercitationem. Distinctio enim, vel aperiam praesentium sunt sequi sed voluptatem deleniti quis saepe reprehenderit, quas assumenda adipisci doloremque provident debitis totam!
Lorem ipsum dolor sit amet, consectetur adipisicing elit. In facilis assumenda ipsum modi quia enim esse voluptates. Perspiciatis quis labore, facere in sint nobis eligendi aspernatur, inventore, accusamus placeat necessitatibus.
H1
H2
H3
H4
H5
H6
Alternatively, for H1 and H2, an underline-ish style:
Alt-H1
Alt-H2
Emphasis, aka italics, with asterisks or underscores.
Strong emphasis, aka bold, with asterisks or underscores.
Combined emphasis with asterisks and underscores.
Strikethrough uses two tildes. Scratch this.
- First ordered list item
- Another item ⋅⋅* Unordered sub-list.
- Actual numbers don’t matter, just that it’s a number ⋅⋅1. Ordered sub-list
- And another item.
⋅⋅⋅You can have properly indented paragraphs within list items. Notice the blank line above, and the leading spaces (at least one, but we’ll use three here to also align the raw Markdown).
⋅⋅⋅To have a line break without a paragraph, you will need to use two trailing spaces.⋅⋅ ⋅⋅⋅Note that this line is separate, but within the same paragraph.⋅⋅ ⋅⋅⋅(This is contrary to the typical GFM line break behaviour, where trailing spaces are not required.)
- Unordered list can use asterisks
- Or minuses
- Or pluses
I’m an inline-style link with title
I’m a relative reference to a repository file
You can use numbers for reference-style link definitions
Or leave it empty and use the link text itself.
URLs and URLs in angle brackets will automatically get turned into links. http://www.example.com or http://www.example.com and sometimes example.com (but not on Github, for example).
Some text to show that the reference links can follow later.
Inline code
has back-ticks around
it.

Service One

Lorem ipsum dolor sit amet, consectetur adipisicing elit.

Learn More

s = "Python syntax highlighting"
print s
No language indicated, so no syntax highlighting.
But let's throw in a tag.
Colons can be used to align columns.
| Tables | Are | Cool |
|---|---|---|
| col 3 is | right-aligned | $1600 |
| col 2 is | centered | $12 |
| zebra stripes | are neat | $1 |
There must be at least 3 dashes separating each header cell. The outer pipes (|) are optional, and you don’t need to make the raw Markdown line up prettily. You can also use inline Markdown.
| Markdown | Less | Pretty |
|---|---|---|
| Still | renders |
nicely |
| 1 | 2 | 3 |
Blockquotes are very handy in email to emulate reply text. This line is part of the same quote.
Quote break.
This is a very long line that will still be quoted properly when it wraps. Oh boy let’s keep writing to make sure this is long enough to actually wrap for everyone. Oh, you can put Markdown into a blockquote.
- Definition list
- Is something people use sometimes.
- Markdown in HTML
- Does *not* work **very** well. Use HTML tags.
hree or more…
Hyphens
Asterisks
Underscores


|
UQTk: Uncertainty Quantification Toolkit 3.1.3
|
Tools to manipulate Array 1D and 2D objects. Some tools mimick MATLAB functionalities. More...
#include "stdlib.h"
#include "stdio.h"
#include "math.h"
#include "assert.h"
#include <sstream>
#include <fstream>
#include <iomanip>
#include "arraytools.h"
#include "ftndefs.h"
#include "gen_defs.h"
#include "depblas.h"
#include "deplapack.h"
Functions | |
| template<typename T > | |
| void | array1Dto2D (Array1D< T > &arr_1d, Array2D< T > &arr) |
| Store a given 1d array in a 2d array with a single second dimension. More... | |
| template void | array1Dto2D (Array1D< double > &arr_1d, Array2D< double > &arr) |
| template void | array1Dto2D (Array1D< int > &arr_1d, Array2D< int > &arr) |
| template<typename T > | |
| void | array2Dto1D (Array2D< T > &arr_2d, Array1D< T > &arr) |
| Store a given 2d array with a single second dimension in a 1d array. More... | |
| template void | array2Dto1D (Array2D< double > &arr_2d, Array1D< double > &arr) |
| template void | array2Dto1D (Array2D< int > &arr_2d, Array1D< int > &arr) |
| template<typename T > | |
| void | paste (Array1D< T > &arr1, Array1D< T > &arr2, Array2D< T > &arr) |
| Paste two 1d arrays of same size into a single 2d array with second dimension equal to two. More... | |
| template void | paste (Array1D< double > &arr1, Array1D< double > &arr2, Array2D< double > &arr) |
| template void | paste (Array1D< int > &arr1, Array1D< int > &arr2, Array2D< int > &arr) |
| template<typename T > | |
| void | generate_multigrid (Array2D< T > &multigrid, Array2D< T > &grid) |
| Generates multigrid as a cartesian product of each column of grid. More... | |
| template void | generate_multigrid (Array2D< double > &multigrid, Array2D< double > &grid) |
| template void | generate_multigrid (Array2D< int > &multigrid, Array2D< int > &grid) |
| void | paste (Array2D< double > &x, Array2D< double > &y, Array2D< double > &xy) |
| Paste two 2D arrays next to each other (horizontal stack) More... | |
| void | merge (Array2D< double > &x, Array2D< double > &y, Array2D< double > &xy) |
| Merge 2d double arrays (vertical stack) More... | |
| void | merge (Array1D< double > &x, Array1D< double > &y, Array1D< double > &xy) |
| Merge 1d double arrays. More... | |
| void | merge (Array1D< int > &x, Array1D< int > &y, Array1D< int > &xy) |
| Merge 1d int arrays. More... | |
| void | append (Array1D< double > &x, Array1D< double > &y) |
| Append array y to array x in place (double format) More... | |
| void | append (Array1D< int > &x, Array1D< int > &y) |
| Append array y to array x in place (int format) More... | |
| template<typename T > | |
| void | transpose (Array2D< T > &x, Array2D< T > &xt) |
| Transpose a 2d double or int array x and return the result in xt. More... | |
| template void | transpose (Array2D< double > &x, Array2D< double > &xt) |
| template void | transpose (Array2D< int > &x, Array2D< int > &xt) |
| void | flatten (Array2D< double > &arr_2, Array1D< double > &arr_1) |
| Unfold/flatten a 2d array into a 1d array (double format) More... | |
| void | fold_1dto2d_rowfirst (Array1D< double > &x1, Array2D< double > &x2) |
| Fold a 1d array into a 2d array (double format), row first. More... | |
| void | fold_1dto2d_colfirst (Array1D< double > &x1, Array2D< double > &x2) |
| Fold a 1d array into a 2d array (double format), column first. More... | |
| void | swap (Array1D< double > &arr, int i, int j) |
| Swap i-th and j-th elements of the array arr. More... | |
| void | swap (Array2D< double > &arr, int i, int j) |
| Swap i-th and j-th rows of the 2d array arr. More... | |
| double | access (int nx, int ny, Array1D< double > &arr_1, int i, int j) |
| Access element from 1D array 'arr_1'. More... | |
| double | accessPythonHelper (int nx, int ny, Array1D< double > &arr_1, int i, int j) |
| Function written exclusively for Pybind11 to be able to load in the function access. More... | |
| template<typename T > | |
| void | getRow (Array2D< T > &arr2d, int k, Array1D< T > &arr1d) |
| Retrieves row 'k' from 2D array 'arr2d' and returns it in 1D array 'arr1d'. More... | |
| template void | getRow (Array2D< double > &arr2d, int k, Array1D< double > &arr1d) |
| template void | getRow (Array2D< int > &arr2d, int k, Array1D< int > &arr1d) |
| template<typename T > | |
| void | getCol (Array2D< T > &arr2d, int k, Array1D< T > &arr1d) |
| Retrieves column 'k' from 2D array 'arr2d' and returns it in 1D array 'arr1d'. More... | |
| template void | getCol (Array2D< double > &arr2d, int k, Array1D< double > &arr1d) |
| template void | getCol (Array2D< int > &arr2d, int k, Array1D< int > &arr1d) |
| template<typename T > | |
| void | addVal (int n, T *arr1d, T val) |
| Adds 'val' to the first n elements of an array pointer (double or int) More... | |
| template void | addVal (int n, double *arr1d, double val) |
| template void | addVal (int n, int *arr1d, int val) |
| template<typename T > | |
| void | addVal (Array1D< T > &arr1d, T val) |
| Adds 'val' to all elements of 1D array arr1d (double or int) More... | |
| template void | addVal (Array1D< double > &arr1d, double val) |
| template void | addVal (Array1D< int > &arr1d, int val) |
| template<typename T > | |
| void | addVal (Array2D< T > &arr2d, T val) |
| Adds 'val' to all elements of 2D array arr2d (double or int) More... | |
| template void | addVal (Array2D< double > &arr2d, double val) |
| template void | addVal (Array2D< int > &arr2d, int val) |
| template<typename T > | |
| void | subVector (Array1D< T > &vector, Array1D< int > &ind, Array1D< T > &subvector) |
| Extracts from 'vector', elements corresponding to indices 'ind' and returns them in 'subvector' (double or int) More... | |
| template void | subVector (Array1D< double > &vector, Array1D< int > &ind, Array1D< double > &subvector) |
| template void | subVector (Array1D< int > &vector, Array1D< int > &ind, Array1D< int > &subvector) |
| template<typename T > | |
| void | subMatrix_row (Array2D< T > &matrix, Array1D< int > &ind, Array2D< T > &submatrix) |
| Extracts from 'matrix' rows corresponding to indices 'ind' and returns them in 'submatrix' (double or int) More... | |
| template void | subMatrix_row (Array2D< double > &matrix, Array1D< int > &ind, Array2D< double > &submatrix) |
| template void | subMatrix_row (Array2D< int > &matrix, Array1D< int > &ind, Array2D< int > &submatrix) |
| template<typename T > | |
| void | subMatrix_col (Array2D< T > &matrix, Array1D< int > &ind, Array2D< T > &submatrix) |
| Extracts from 'matrix' columns corresponding to indices 'ind' and returns them in 'submatrix' (double or int) More... | |
| template void | subMatrix_col (Array2D< double > &matrix, Array1D< int > &ind, Array2D< double > &submatrix) |
| template void | subMatrix_col (Array2D< int > &matrix, Array1D< int > &ind, Array2D< int > &submatrix) |
| template<typename T > | |
| void | matPvec (Array2D< T > &matrix, const Array1D< T > &rc, T alpha, char *RC) |
| Adds scaled row or column to all rows / columns of a matrix (double or int) More... | |
| template void | matPvec (Array2D< double > &matrix, const Array1D< double > &rc, double alpha, char *RC) |
| template void | matPvec (Array2D< int > &matrix, const Array1D< int > &rc, int alpha, char *RC) |
| template<typename T > | |
| T | maxVal (const Array1D< T > &vector, int *indx) |
| Returns maximum value in 'vector' and its location in *indx (double or int) More... | |
| template double | maxVal (const Array1D< double > &vector, int *indx) |
| template int | maxVal (const Array1D< int > &vector, int *indx) |
| void | setdiff (Array1D< int > &A, Array1D< int > &B, Array1D< int > &C) |
| Returns (C=Elements of A that are not in B); C is sorted in ascending order. More... | |
| void | setdiff_s (Array1D< int > &A, Array1D< int > &B, Array1D< int > &C) |
| Returns ( C=Elements of A that are not in B); C is sorted in ascending order. More... | |
| void | shell_sort (int *a, int n) |
| Sorts integer array. More... | |
| void | shell_sort (Array1D< int > &array) |
| Sorts integer array in ascending order. More... | |
| void | shell_sort (Array1D< double > &array) |
| Sorts double array in ascending order. More... | |
| void | shell_sort_col (Array2D< double > &array, int col, Array1D< int > &newInd, Array1D< int > &oldInd) |
| Sorts double array in ascending order according to a given column. More... | |
| void | shell_sort_all (Array2D< double > &array, Array1D< int > &newInd, Array1D< int > &oldInd) |
| Sorts double array in ascending order according to first column, then second column breaks the tie, and so on. More... | |
| void | quicksort3 (Array1D< double > &arr, int l, int r) |
| Quick-sort with 3-way partitioning of array between indices l and r. More... | |
| void | quicksort3 (Array2D< double > &arr, int l, int r, int col) |
| Quick-sort with 3-way partitioning of 2d array between indices l and r, according to column col. More... | |
| void | quicksort3 (Array2D< double > &arr, int l, int r) |
| Quick-sort with 3-way partitioning of 2d array between indices l and r, and sorting is done comparing rows (by first element, then by second, etc...) More... | |
| void | intersect (Array1D< int > &A, Array1D< int > &B, Array1D< int > &C, Array1D< int > &iA, Array1D< int > &iB) |
| Finds common entries in 1D arrays 'A' and 'B' and returns them in 'C', sorted in ascending order. It also returns the original locations of these entries in 1D arrays 'iA' and 'iB', respectively. More... | |
| void | intersect (Array1D< int > &A, Array1D< int > &B, Array1D< int > &C) |
| Find common entries in 1D arrays 'A' and 'B' and return them in 'C', sorted in ascending order. More... | |
| template<typename T > | |
| void | find (Array1D< T > &theta, T lmbda, string type, Array1D< int > &indx) |
| Return list of indices corresponding to elements of 1D array theta that are: larger ( type="gt" ), larger or equal ( type="ge" ), smaller ( type="lt" ), smaller or equal ( type="le" ) than lmbda. More... | |
| template void | find (Array1D< double > &theta, double lmbda, string type, Array1D< int > &indx) |
| template void | find (Array1D< int > &theta, int lmbda, string type, Array1D< int > &indx) |
| void | prodAlphaMatVec (Array2D< double > &A, Array1D< double > &x, double alpha, Array1D< double > &y) |
| Returns , where 'A' is a 2D array, 'x' is 1D array of size and 'alpha' is a scalar. The 1D array 'y' has elements. More... | |
| void | prodAlphaMatTVec (Array2D< double > &A, Array1D< double > &x, double alpha, Array1D< double > &y) |
| Returns , where 'A' is a 2D array, 'x' is 1D array of size and 'alpha' is a scalar. The 1D array 'y' has elements. More... | |
| void | prodAlphaMatMat (Array2D< double > &A, Array2D< double > &B, double alpha, Array2D< double > &C) |
| Returns , where 'A' and 'B' are 2D arrays and 'alpha' is a scalar. The 2D array 'C' has elements. More... | |
| void | prodAlphaMatTMat (Array2D< double > &A, Array2D< double > &B, double alpha, Array2D< double > &C) |
| Returns , where 'A' and 'B' are 2D arrays and 'alpha' is a scalar. The 2D array 'C' has elements. More... | |
| void | addVecAlphaVecPow (Array1D< double > &x, double alpha, Array1D< double > &y, int ip) |
| Implements , where 'x' and 'y' are 1D arrays with elements. More... | |
| double | prod_vecTmatvec (Array1D< double > &a, Array2D< double > &B, Array1D< double > &c) |
| Returns . More... | |
| Array2D< double > | MatTMat (Array2D< double > &A) |
| Returns , where 'A' is a 2D array. More... | |
| template<typename T > | |
| void | delRow (Array2D< T > &A, int irow) |
| Deletes row 'irow' from 2D array 'A'. More... | |
| template void | delRow (Array2D< double > &A, int irow) |
| template void | delRow (Array2D< int > &A, int irow) |
| template<typename T > | |
| void | delCol (Array2D< T > &A, int icol) |
| Deletes column 'icol' from 2D array 'A'. More... | |
| template void | delCol (Array2D< double > &A, int icol) |
| template void | delCol (Array2D< int > &A, int icol) |
| template<typename T > | |
| void | delCol (Array1D< T > &x, int icol) |
| Deletes element 'icol' from 1D array 'A'. More... | |
| template void | delCol (Array1D< double > &x, int icol) |
| template void | delCol (Array1D< int > &x, int icol) |
| void | paddMatRow (Array2D< double > &A, Array1D< double > &x) |
| Padds 2D array 'A' with the row 'x'. More... | |
| void | paddMatCol (Array2D< double > &A, Array1D< double > &x) |
| Padds 2D array 'A' with the column 'x'. More... | |
| void | paddMatRow (Array2D< int > &A, Array1D< int > &x) |
| Padds 2D array 'A' with the row 'x'. More... | |
| void | paddMatCol (Array2D< int > &A, Array1D< int > &x) |
| Padds 2D array 'A' with the column 'x'. More... | |
| void | paddMatColScal (Array2D< double > &A, Array1D< double > &x, double scal) |
| Padds square 2D array 'A' with the elements of 'x' and 'scal' as follows: and . More... | |
| bool | is_equal (Array1D< int > &a, Array1D< int > &b) |
| Checks if two 1d int arrays are equal. More... | |
| bool | is_equal (Array1D< double > &a, Array1D< double > &b) |
| Checks if two 1d double arrays are equal. More... | |
| bool | is_less (Array1D< int > &a, Array1D< int > &b) |
| Checks if one 1d int array is less than another (by first element, then by second, etc...) More... | |
| bool | is_less (Array1D< double > &a, Array1D< double > &b) |
| Checks if one 1d double array is less than another (by first element, then by second, etc...) More... | |
| int | vecIsInArray (Array1D< int > &vec, Array2D< int > &array) |
| Checks if vec matches with any of the rows of array Returns the row number, or -1 if vec is not equal to any of the rows of array. More... | |
| double | select_kth (int k, Array1D< double > &arr) |
| Select the k-th smallest element of an array arr. More... | |
| double | logdeterm (Array2D< double > &mat) |
| Log-determinant of a real symmetric positive-definite matrix. More... | |
| double | trace (Array2D< double > &mat) |
| Trace of a matrix. More... | |
| double | evalLogMVN (Array1D< double > &x, Array1D< double > &mu, Array2D< double > &Sigma) |
| Evaluates the natural logarithm of a multivariate normal distribution. More... | |
| Array2D< double > | diag (Array1D< double > &diagonal_array) |
| Returns a diagonal matrix with a given diagonal. More... | |
| Array1D< double > | copy (Array1D< double > &in_array) |
| Returns a copy of 1D array. More... | |
| Array2D< double > | copy (Array2D< double > &in_array) |
| Return a copy of 2D Array. More... | |
| Array2D< double > | mtxdel (Array2D< double > &A, int index, int dim) |
| Deletes matrix columns or rows. Index specifies which column or row and dim = 1 deletes column, dim = 0 deletes the row. More... | |
| Array1D< double > | add (Array1D< double > &x, Array1D< double > &y) |
| Add two 1D Arrays and returns sum (must be of the same shape) More... | |
| Array2D< double > | add (Array2D< double > &x, Array2D< double > &y) |
| Add two 2D Arrays and returns sum (must be of same shape) More... | |
| void | addinplace (Array2D< double > &x, Array2D< double > &y) |
| Add two 2D Arrays in place. Summation is returned as x. More... | |
| void | addinplace (Array1D< double > &x, Array1D< double > &y) |
| Add two 1D Arrays in place. Summation is returned as x. More... | |
| Array1D< double > | subtract (Array1D< double > &x, Array1D< double > &y) |
| Returns subtraction of two 1D Arrays (must be of the same shape) More... | |
| Array2D< double > | subtract (Array2D< double > &x, Array2D< double > &y) |
| Returns subtraction of two 2D Arrays (must be of the same shape) More... | |
| void | subtractinplace (Array2D< double > &x, Array2D< double > &y) |
| Subtract two 2D Arrays in place. Difference is returned as x. More... | |
| void | subtractinplace (Array1D< double > &x, Array1D< double > &y) |
| Subtract two 1D Arrays in place. Difference is returned as x. More... | |
| Array1D< double > | scale (Array1D< double > &x, double alpha) |
| Returns 1D Arrays scaled by a double. More... | |
| Array2D< double > | scale (Array2D< double > &x, double alpha) |
| Returns 2D Array scaled by a double. More... | |
| void | scaleinplace (Array1D< double > &x, double alpha) |
| Multiply Array1D by double in place. More... | |
| void | scaleinplace (Array1D< int > &x, int alpha) |
| Multiply Array1D by int in place. More... | |
| void | scaleinplace (Array2D< double > &x, double alpha) |
| Multiply Array2D by double in place. More... | |
| void | scaleinplace (Array2D< int > &x, int alpha) |
| Multiply Array2D by int in place. More... | |
| Array2D< double > | dotmult (Array2D< double > &A, Array2D< double > &B) |
| Returns the elementwise multiplication of two 2D Arrays. More... | |
| Array1D< double > | dotmult (Array1D< double > &A, Array1D< double > &B) |
| Returns the elementwise multiplication of two 1D Arrays. More... | |
| Array2D< double > | dotdivide (Array2D< double > &A, Array2D< double > &B) |
| Returns the elementwise division of two 2D Arrays. More... | |
| Array1D< double > | dotdivide (Array1D< double > &A, Array1D< double > &B) |
| Returns the elementwise division of two 1D Arrays. More... | |
| double | norm (Array1D< double > &x) |
| Returns norm of 1D Array (Euclidean) More... | |
| double | dist_sq (Array1D< double > &x, Array1D< double > &y, Array1D< double > &w) |
| Weighted vector distance-squared. More... | |
| Array2D< double > | Trans (Array2D< double > &A) |
| Returns the transpose of a 2D Array. More... | |
| double | dot (Array1D< double > &v1, Array1D< double > &v2) |
| Returns the dot product of two 1D Arrays (must be of the same length) More... | |
| Array1D< double > | dot (Array2D< double > &A, Array1D< double > &x) |
| Returns the matrix vector product. More... | |
| Array1D< double > | dot (Array1D< double > &x, Array2D< double > &A) |
| Array2D< double > | dot (Array2D< double > &A, Array2D< double > &B) |
| Returns the matrix matrix product. More... | |
| Array2D< double > | dotT (Array2D< double > &A, Array2D< double > &B) |
| Returns the matrix matrix^T product. More... | |
| Array2D< double > | INV (Array2D< double > &A) |
| Returns the inverse of a square 2D Array. More... | |
| Array2D< double > | AinvH (Array2D< double > &A, Array2D< double > &H) |
| Solves linear system AX=H, i.e. returns A^(-1)*H, where A is real, symmetric and positive definite. More... | |
| Array1D< double > | Ainvb (Array2D< double > &A, Array1D< double > &b) |
| Solves linear system Ax=b, i.e. return A^(-1)*b where A is real, symmetric and positive definite. More... | |
| void | LSTSQ (Array2D< double > &A, Array1D< double > &b, Array1D< double > &x) |
| Least squares solution for overdetermined system. Note that A must be "taller than wide". Solution is returned in x. More... | |
| void | QR (Array2D< double > &B, Array2D< double > &Q, Array2D< double > &R) |
| Computes the QR factorization of a 2D Array (need not be square) More... | |
| void | SVD (Array2D< double > &A, Array2D< double > &U, Array1D< double > &S, Array2D< double > &VT) |
| Computes the SVD calculation of a 2D Array (need not be square) More... | |
| void | printarray (Array1D< double > &x) |
| Prints 1D double Array to screen (alternative to for loop using cout) More... | |
| void | printarray (Array1D< int > &x) |
| Prints 1D int Array to screen (alternative to for loop using cout) More... | |
| void | printarray (Array2D< double > &x) |
| Prints 2D double Array to screen (alternative to for loop using cout) More... | |
| void | printarray (Array2D< int > &x) |
| Prints 2D int Array to screen (alternative to for loop using cout) More... | |
Tools to manipulate Array 1D and 2D objects. Some tools mimick MATLAB functionalities.
| double access | ( | int | nx, |
| int | ny, | ||
| Array1D< double > & | arr_1, | ||
| int | i, | ||
| int | j | ||
| ) |
Access element from 1D array 'arr_1'.
| double accessPythonHelper | ( | int | nx, |
| int | ny, | ||
| Array1D< double > & | arr_1, | ||
| int | i, | ||
| int | j | ||
| ) |
Function written exclusively for Pybind11 to be able to load in the function access.
Add two 1D Arrays and returns sum (must be of the same shape)
Add two 2D Arrays and returns sum (must be of same shape)
Add two 1D Arrays in place. Summation is returned as x.
Add two 2D Arrays in place. Summation is returned as x.
| template void addVal | ( | Array1D< double > & | arr1d, |
| double | val | ||
| ) |
| template void addVal | ( | Array1D< int > & | arr1d, |
| int | val | ||
| ) |
| void addVal | ( | Array1D< T > & | arr1d, |
| T | val | ||
| ) |
Adds 'val' to all elements of 1D array arr1d (double or int)
| template void addVal | ( | Array2D< double > & | arr2d, |
| double | val | ||
| ) |
| template void addVal | ( | Array2D< int > & | arr2d, |
| int | val | ||
| ) |
| void addVal | ( | Array2D< T > & | arr2d, |
| T | val | ||
| ) |
Adds 'val' to all elements of 2D array arr2d (double or int)
| template void addVal | ( | int | n, |
| double * | arr1d, | ||
| double | val | ||
| ) |
| template void addVal | ( | int | n, |
| int * | arr1d, | ||
| int | val | ||
| ) |
| void addVal | ( | int | n, |
| T * | arr1d, | ||
| T | val | ||
| ) |
Adds 'val' to the first n elements of an array pointer (double or int)
Implements , where 'x' and 'y' are 1D arrays with elements.
Solves linear system Ax=b, i.e. return A^(-1)*b where A is real, symmetric and positive definite.
Solves linear system AX=H, i.e. returns A^(-1)*H, where A is real, symmetric and positive definite.
Append array y to array x in place (double format)
Append array y to array x in place (int format)
Store a given 1d array in a 2d array with a single second dimension.
Store a given 2d array with a single second dimension in a 1d array.
| template void delCol | ( | Array1D< double > & | x, |
| int | icol | ||
| ) |
| template void delCol | ( | Array1D< int > & | x, |
| int | icol | ||
| ) |
| void delCol | ( | Array1D< T > & | x, |
| int | icol | ||
| ) |
| template void delCol | ( | Array2D< double > & | A, |
| int | icol | ||
| ) |
| template void delCol | ( | Array2D< int > & | A, |
| int | icol | ||
| ) |
| void delCol | ( | Array2D< T > & | A, |
| int | icol | ||
| ) |
| template void delRow | ( | Array2D< double > & | A, |
| int | irow | ||
| ) |
| template void delRow | ( | Array2D< int > & | A, |
| int | irow | ||
| ) |
| void delRow | ( | Array2D< T > & | A, |
| int | irow | ||
| ) |
Returns a diagonal matrix with a given diagonal.
Weighted vector distance-squared.
Returns the dot product of two 1D Arrays (must be of the same length)
Returns the matrix vector product.
Returns the matrix matrix product.
Returns the elementwise division of two 1D Arrays.
Returns the elementwise division of two 2D Arrays.
Returns the elementwise multiplication of two 1D Arrays.
Returns the elementwise multiplication of two 2D Arrays.
Returns the matrix matrix^T product.
Evaluates the natural logarithm of a multivariate normal distribution.
| void find | ( | Array1D< T > & | theta, |
| T | lmbda, | ||
| string | type, | ||
| Array1D< int > & | indx | ||
| ) |
Return list of indices corresponding to elements of 1D array theta that are: larger ( type="gt" ), larger or equal ( type="ge" ), smaller ( type="lt" ), smaller or equal ( type="le" ) than lmbda.
Unfold/flatten a 2d array into a 1d array (double format)
Fold a 1d array into a 2d array (double format), column first.
Fold a 1d array into a 2d array (double format), row first.
Generates multigrid as a cartesian product of each column of grid.
Retrieves column 'k' from 2D array 'arr2d' and returns it in 1D array 'arr1d'.
Retrieves row 'k' from 2D array 'arr2d' and returns it in 1D array 'arr1d'.
Find common entries in 1D arrays 'A' and 'B' and return them in 'C', sorted in ascending order.
| void intersect | ( | Array1D< int > & | A, |
| Array1D< int > & | B, | ||
| Array1D< int > & | C, | ||
| Array1D< int > & | iA, | ||
| Array1D< int > & | iB | ||
| ) |
Finds common entries in 1D arrays 'A' and 'B' and returns them in 'C', sorted in ascending order. It also returns the original locations of these entries in 1D arrays 'iA' and 'iB', respectively.
Checks if two 1d double arrays are equal.
Checks if one 1d double array is less than another (by first element, then by second, etc...)
Checks if one 1d int array is less than another (by first element, then by second, etc...)
| double logdeterm | ( | Array2D< double > & | mat | ) |
Log-determinant of a real symmetric positive-definite matrix.
Least squares solution for overdetermined system. Note that A must be "taller than wide". Solution is returned in x.
| template void matPvec | ( | Array2D< double > & | matrix, |
| const Array1D< double > & | rc, | ||
| double | alpha, | ||
| char * | RC | ||
| ) |
| void matPvec | ( | Array2D< T > & | matrix, |
| const Array1D< T > & | rc, | ||
| T | alpha, | ||
| char * | RC | ||
| ) |
Adds scaled row or column to all rows / columns of a matrix (double or int)
| template double maxVal | ( | const Array1D< double > & | vector, |
| int * | indx | ||
| ) |
| template int maxVal | ( | const Array1D< int > & | vector, |
| int * | indx | ||
| ) |
| T maxVal | ( | const Array1D< T > & | vector, |
| int * | indx | ||
| ) |
Returns maximum value in 'vector' and its location in *indx (double or int)
Merge 1d double arrays.
Merge 2d double arrays (vertical stack)
Deletes matrix columns or rows. Index specifies which column or row and dim = 1 deletes column, dim = 0 deletes the row.
| double norm | ( | Array1D< double > & | x | ) |
Returns norm of 1D Array (Euclidean)
Padds 2D array 'A' with the column 'x'.
Padds 2D array 'A' with the column 'x'.
Padds square 2D array 'A' with the elements of 'x' and 'scal' as follows: and .
Padds 2D array 'A' with the row 'x'.
Padds 2D array 'A' with the row 'x'.
Paste two 1d arrays of same size into a single 2d array with second dimension equal to two.
Paste two 2D arrays next to each other (horizontal stack)
| void printarray | ( | Array1D< double > & | x | ) |
Prints 1D double Array to screen (alternative to for loop using cout)
| void printarray | ( | Array1D< int > & | x | ) |
Prints 1D int Array to screen (alternative to for loop using cout)
| void printarray | ( | Array2D< double > & | x | ) |
Prints 2D double Array to screen (alternative to for loop using cout)
| void printarray | ( | Array2D< int > & | x | ) |
Prints 2D int Array to screen (alternative to for loop using cout)
Returns .
| void prodAlphaMatMat | ( | Array2D< double > & | A, |
| Array2D< double > & | B, | ||
| double | alpha, | ||
| Array2D< double > & | C | ||
| ) |
Returns , where 'A' and 'B' are 2D arrays and 'alpha' is a scalar. The 2D array 'C' has elements.
| void prodAlphaMatTMat | ( | Array2D< double > & | A, |
| Array2D< double > & | B, | ||
| double | alpha, | ||
| Array2D< double > & | C | ||
| ) |
Returns , where 'A' and 'B' are 2D arrays and 'alpha' is a scalar. The 2D array 'C' has elements.
| void prodAlphaMatTVec | ( | Array2D< double > & | A, |
| Array1D< double > & | x, | ||
| double | alpha, | ||
| Array1D< double > & | y | ||
| ) |
Returns , where 'A' is a 2D array, 'x' is 1D array of size and 'alpha' is a scalar. The 1D array 'y' has elements.
| void prodAlphaMatVec | ( | Array2D< double > & | A, |
| Array1D< double > & | x, | ||
| double | alpha, | ||
| Array1D< double > & | y | ||
| ) |
Returns , where 'A' is a 2D array, 'x' is 1D array of size and 'alpha' is a scalar. The 1D array 'y' has elements.
Computes the QR factorization of a 2D Array (need not be square)
| void quicksort3 | ( | Array1D< double > & | arr, |
| int | l, | ||
| int | r | ||
| ) |
Quick-sort with 3-way partitioning of array between indices l and r.
| void quicksort3 | ( | Array2D< double > & | arr, |
| int | l, | ||
| int | r | ||
| ) |
Quick-sort with 3-way partitioning of 2d array between indices l and r, and sorting is done comparing rows (by first element, then by second, etc...)
| void quicksort3 | ( | Array2D< double > & | arr, |
| int | l, | ||
| int | r, | ||
| int | col | ||
| ) |
Quick-sort with 3-way partitioning of 2d array between indices l and r, according to column col.
Returns 1D Arrays scaled by a double.
Returns 2D Array scaled by a double.
| double select_kth | ( | int | k, |
| Array1D< double > & | arr | ||
| ) |
Select the k-th smallest element of an array arr.
Returns (C=Elements of A that are not in B); C is sorted in ascending order.
Returns ( C=Elements of A that are not in B); C is sorted in ascending order.
| void shell_sort | ( | Array1D< double > & | array | ) |
Sorts double array in ascending order.
| void shell_sort | ( | Array1D< int > & | array | ) |
Sorts integer array in ascending order.
| void shell_sort | ( | int * | a, |
| int | n | ||
| ) |
Sorts integer array.
Sorts double array in ascending order according to first column, then second column breaks the tie, and so on.
| void shell_sort_col | ( | Array2D< double > & | array, |
| int | col, | ||
| Array1D< int > & | newInd, | ||
| Array1D< int > & | oldInd | ||
| ) |
Sorts double array in ascending order according to a given column.
| template void subMatrix_col | ( | Array2D< double > & | matrix, |
| Array1D< int > & | ind, | ||
| Array2D< double > & | submatrix | ||
| ) |
| template void subMatrix_col | ( | Array2D< int > & | matrix, |
| Array1D< int > & | ind, | ||
| Array2D< int > & | submatrix | ||
| ) |
| void subMatrix_col | ( | Array2D< T > & | matrix, |
| Array1D< int > & | ind, | ||
| Array2D< T > & | submatrix | ||
| ) |
Extracts from 'matrix' columns corresponding to indices 'ind' and returns them in 'submatrix' (double or int)
| template void subMatrix_row | ( | Array2D< double > & | matrix, |
| Array1D< int > & | ind, | ||
| Array2D< double > & | submatrix | ||
| ) |
| template void subMatrix_row | ( | Array2D< int > & | matrix, |
| Array1D< int > & | ind, | ||
| Array2D< int > & | submatrix | ||
| ) |
| void subMatrix_row | ( | Array2D< T > & | matrix, |
| Array1D< int > & | ind, | ||
| Array2D< T > & | submatrix | ||
| ) |
Extracts from 'matrix' rows corresponding to indices 'ind' and returns them in 'submatrix' (double or int)
Returns subtraction of two 1D Arrays (must be of the same shape)
Returns subtraction of two 2D Arrays (must be of the same shape)
Subtract two 1D Arrays in place. Difference is returned as x.
Subtract two 2D Arrays in place. Difference is returned as x.
| template void subVector | ( | Array1D< double > & | vector, |
| Array1D< int > & | ind, | ||
| Array1D< double > & | subvector | ||
| ) |
| template void subVector | ( | Array1D< int > & | vector, |
| Array1D< int > & | ind, | ||
| Array1D< int > & | subvector | ||
| ) |
| void subVector | ( | Array1D< T > & | vector, |
| Array1D< int > & | ind, | ||
| Array1D< T > & | subvector | ||
| ) |
Extracts from 'vector', elements corresponding to indices 'ind' and returns them in 'subvector' (double or int)
| void SVD | ( | Array2D< double > & | A, |
| Array2D< double > & | U, | ||
| Array1D< double > & | S, | ||
| Array2D< double > & | VT | ||
| ) |
Computes the SVD calculation of a 2D Array (need not be square)
| void swap | ( | Array1D< double > & | arr, |
| int | i, | ||
| int | j | ||
| ) |
Swap i-th and j-th elements of the array arr.
| void swap | ( | Array2D< double > & | arr, |
| int | i, | ||
| int | j | ||
| ) |
Swap i-th and j-th rows of the 2d array arr.
| double trace | ( | Array2D< double > & | mat | ) |
Trace of a matrix.
Transpose a 2d double or int array x and return the result in xt.


title=Spring Corner: Beyond the FactoryBean date=2011-07-23 type=post tags=blog status=published ~~~~~~
I looked at what a basic FactoryBean
is in my previous post. While FactoryBeans
are important - and knowing what they do can help you navigate
the framework - they're by and large no longer the recommended approach to the task as of Spring 3.0 and the imminent Spring 3.1.
The whole point of a FactoryBean
is to hide the construction of an object - either because it's very complex or because it can't simply be instantiated using that typical constructor-centric approach used by the Spring container (Maybe it needs to be looked up? Maybe it needs a static registry method?)
Spring 3.0 saw the introduction of Java configuration which lets you define beans using Java. For instance, to register a regular javax.sql.DataSource
with Spring in XML, you will more than likely delegate to a properties file for the sensitive configuration information (like a database password) and use Spring to instantiate the javax.sql.DataSource
, like this:
<beans ...> <context:property-placeholder location = "ds.properties" /> <bean id = "ds" class = "a.b.c.MySqlDataSource"> <property name = "user" value = "${ds.user}"/> <property name = "password" value = "${ds.password}"/> </bean> </beans>
This is a simple bean, and translates naturally into Java configuration. It would look like this:
import a.b.c.* ; @Configuration @PropertySource("ds.properties") public class MyConfiguration { @Inject private Environment env ; @Bean public MySqlDataSource ds(){ MySqlDataSource ds = new MySqlDataSource() ; ds.setUser( env.getProperty("ds.user") ); ds.setPassword( env.getProperty("ds.password")); return ds; } }
The beauty of this is that you're free to do anything you'd like inside the method. The return value is what's registered in the Spring container. Anything you do in service of properly constructing this object is up to you - you're no longer bound by the limits of what Spring can instantiate based on the XML specified. And, this is more natural - it's far easier to guarantee there's no typos using Java than XML. So, take away from this that Java configuration is - about equal in terms of lines of code, but a lot more powerful, and conceptually more natural.
With those limitations lifted, the value of the FactoryBean
is starting to lessen. After all, if all a FactoryBean
does is encode construction logic in a novel or unique way, then there's no reason that couldn't be done inside a Java configuration method, is there?
Let's revisit the example from the last blog post, a custom FactoryBean
designed to factory cars.
public class MyCarFactoryBean implements FactoryBean<Car> { private String mark; private int year ; public void setMark(String m){ this.mark =m ; } public void setYear(int y){ this.year = y; } public Car getObject(){ // wouldn't be a very useful FactoryBean // if we could simply instantiate the object ;-) CarBuilder cb = CarBuilder.car(); if(year!=0) cb.setYear(this.year); if(StringUtils.hasText(this.mark)) cb.setMark( this.mark); return cb.factory(); } public ClassgetObjectType() { return Car.class ; } public boolean isSingleton() { return false; } }
In this example, we only conditionally set values if there are values to be set. So, we do some dancing around to ensure that we have values. This code is ugly, because it has a lot of different execution paths, but it's not particularly novel. We're adults, we can do this sort of thing ourselves. Let's dispose of the FactoryBean
and simply use Java configuration to replace it for a definition of a Car
. Again, we happen to know what configuratoin we need,
so we don't have to duplicate the null checks in our code.
@Bean public Car honda(){ return CarBuilder.car() .setYear( 1984 ) .setMark("Honda") .factory(); }
Not bad! We no longer need the complex FactoryBean
, and we have a usable bean definition.
If we wanted to make this reusable, we could, as well, by simply creating a factory method, like this:
// presumably exposed from some place where other configuration classes can reuse it. public Car buildCar(int year, String make){ CarBuilder cb = CarBuilder.car(); if(year!=0) cb.setYear( year); if(StringUtils.hasText( mark)) cb.setMark( mark); return cb.factory(); } ... // now the Spring definition itself is even simpler, and it's reusable! @Bean public Car honda() { return car(1984, "Honda") ; }
In Spring 3.1, there are many places where Spring also provides a Builder alternative to a FactoryBean
. A Builder, as a pattern, is conceptually simialar to a FactoryBean
. In practice, however, they are usually exposed like the CarBuilder
demonstrated above. They are
typically chainable - a method returns this
and so subsequent invocations don't need to dereference the object, they can
continue chaining invocations.
Additionally, a Builder usually does the null pointer checks that I forced in the previous code.
So, a properly rewritten CarBuilder
object usage might look like this:
@Bean public Car honda(){ return CarBuilder.car() // doesn't matter if the parameters are null - // it'll validate in the factory() method .setYear( 1984 ) .setMark( "Honda" ) .factory(); }
A great example of a builder providing a much smoother experience in 3.1 over Spring's FactoryBean
s is the new Hibernate 3 SessionFactoryBuilder
, whose usage looks like this:
@Configuration @EnableTransactionManagment public class ServiceConfiguration { @Bean public javax.sql.DataSource dataSource(){ ... } @Bean public SessionFactory hibernate3SessionFactory(){ return new AnnotationSessionFactoryBuilder() .setDataSource(dataSource()) // you could do this: //.setAnnotatedClasses( Customer.class, LineItem.class, Order.class ) // or simply scan a package where your entities live .setAnnotatedPackages( Customer.class.getPackage().getName()) .buildSessionFactory(); } }
The equivalent FactoryBean
s now delegate to these builder classes, in fact!


In this section, you’ll have a chance to practice the concepts you’ve learned in the videos. First, review the core concepts covered that you’ll need to keep in mind. Then go through the exercises below.
Remember, these are for your own benefit. Feel free to skip them if you don’t find a particular exercise valuable or you get stuck for too long.
REPL stands for Read-Eval-Print-Loop and is the interactive environment you get when you type python
in the terminal / command prompt. Remember, on macOS and Linux, you start Python 3’s REPL by typing python3
.
Variables are names that we use to refer to data that could change or is complex to write directly. Values are the data that is currently assigned to that variable. We used pythontutor.com to explore this.
Examples:
Python comes with many included libraries (hundreds!). To use one of these libraries, such as sys
, you must tell Python you want to load it. This is done with the import
keyword.
Example:
Getting input from users is done with the input
function.
Example:
Certain operations (like math and string concatenation) require the correct data types.
Data is converted to numerical types using the type name (int, float, etc).  Here are some ideas to practice.
datetime
and the function datetime.datetime.now()
to determine the current year and print that to REPL using an f-string.


Shield By Me
03 May 2015In the grand tradition of hijacking other people’s causes for their own ends, we predicted that Palestinians and their supporters would quickly find a way to dishonor the life and death of legendary singer Ben E. King.
The countdown for Palestinians to hijack the death of Ben E. King for their own purposes begins now!
https://t.co/hfZXUkCH2I
— Judean Peoples Front (@JudeanPF) May 1, 2015
And we weren’t disappointed (well, obviously we were, but you know what we mean):
6 hours! Surprised it took that long even.
https://t.co/KENmf8UHoI
— Judean Peoples Front (@JudeanPF) May 1, 2015
In honor of notorious Blue-and-Whitewasher Norman Finkelstein, the Judean People’s Front has rewritten King’s famous “Stand By Me” in a form more relatable to Palestinians.
 Mike Harris
When it’s time to launch
Rockets at the Jews
Then you need to use human shields
So kids don’t be afraid
No no don’t be afraid
Just stay here and stand, stand by me
So join the jihad
Stand by me, oh stand by me
Make sure Ken Roth sees you stand, stand by me
If the Jews try to respond
And attack our sites
Then we’ll have your corpse for all to see
I won’t cry, I won’t cry
No I won’t shed a tear
Because we’ll show it to the UNHRC.
So join the jihad
Stand by me, oh stand by me
Make sure Ken Roth sees you stand, stand by me
Which do you like better? Let us know on Twitter.


@()(implicit request: RequestHeader) @main("RSP - Overview") {
This is the overview page for the Reactive Stream Play (RSP) playground. This project explores various different ways of using reactive programming techniques in Scala.
The application takes in messages from a streaming source like twitter and passes them into a user configurable transformation pipeline. The messages can be filtered and transformed in a number of ways. Configuration as well as the display of the result happens interactively through this website.
This project uses:


Frequently Asked Questions
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Blair Waldorf is the one of the main characters in the TV show and book series, Gossip Girl. She is the daughter of fashion icon, Eleanor Waldorf and lives in the Upper East Side. She is known for being very beautiful and also being an overachiever. She does very well in school and goes to NYU, and eventually, Columbia University after high school. She is very driven and loves being successful. She will do whatever it takes to achieve what she wants, even if that means sabotaging others, including her best friend Serena Van der Woodsen.
Played by Leighton Meester, Blair appears in the show Gossip Girl, which aired from 2007 to 2012.


Light Emulator - node-gotapi
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Communication monitor


Burden Tuning
Burden is a key consideration when deploying Sensus to users. This article addresses key dimensions of burden placed on the user and the user's device. It also offers advice for tuning the balance of burden and data collection.
Data Polling
Polling-style probes within Sensus run on schedules. Sensus will attempt to poll for data according to these schedules. Each polling operation consumes power, the effective amount of which depends on the hardware involved. For example, the PollingLocationProbe uses the device's GPS chip, which consumes significant power. Contrast this with the AccelerometerProbe, which uses the device's accelerometer chip -- a relatively low-power component. Regardless of the Probe and hardware involved, the following parameters govern polling behavior and associated power consumption.
PollingSleepDurationMS: This parameter determines how frequently the PollingProbe attempts to poll for data.
DelayToleranceAfterMS and DelayToleranceAfterMS: Each polling probe runs on its own schedule independent of the other probes' schedules. As a result, the overall polling timeline will become increasingly crowded as additional polling probes are enabled. The operating system will therefore have fewer opportunities to turn off the CPU and conserve power. To address this, Sensus allows you to configure tolerance within the polling schedule using these two parameters. If a polling probe is scheduled to poll for data at time
t
, these two parameters will create a window aroundt
within which to search for other polling events that are already scheduled for other probes. If another polling operation is already scheduled within this window, then the new polling operation will be batched with the existing operation and will be executed at approximately the same time. Widening the scheduling tolerance aroundt
will increase the prevalence of batching, decrease crowding of the overall polling timeline, and increase the amount of time when CPU is allowed to sleep.KeepDeviceAwake (Android only): This parameter determines whether Sensus will hold a partial wake lock on the CPU when running a ListeningProbe. If this parameter is enabled for any such probe, then all probes regardless of type will collect data unabated, as the CPU will be powered on despite the display being off.
Push notifications (iOS only): It is possible to configure push notifications that support data polling in iOS. These impose a burden on the device; however, push notification support for data polling will lessen the burden on the user since remotely invoked data polling preempts user-targeted notifications as enabled by AlertUserWhenBackgrounded.
Data Transfer
It is expensive, both in terms of power and data network usage, to transfer collected data from the device to a RemoteDataStore. The following parameters govern transfer behavior and associated power and network usage:
WriteDelayMS: This parameter determines how frequently Sensus writes data from the device to the RemoteDataStore. After writing data successfully, the data are deleted and subsequent writes operate only on data subsequently collected. The power and network usage of these writes will be determined by the number, type, and configuration of probes that are enabled.
RequireWiFi: This parameter determines whether WiFi is required for data transfer.
RequireCharging: This parameter determines whether external power is required for data transfer.
RequiredBatteryChargeLevelPercent: If external power is not required, then this parameter determines a minimum charge level required for data transfer.
Notifications
Sensus will issue notifications for various states of the app. Whether a notification is issued for each app state is partially configurable depending on the Probe and operating system.
AlertUserWhenBackgrounded (iOS only): Each PollingProbe in iOS is capable of issuing a notification to the user when the polling operation is scheduled to occur. This parameter determines whether these notifications are issued.
Push notifications (iOS only): As noted above, push notifications can be configured to drive data polling and preempt the notifications enabled by the AlertUserWhenBackgrounded setting.


%ReportDate% ➤ %JobName%
%PortIopsAvg% IOPs
Peak: %PortIopsMax% IOPs
%PortMBsAvg% MB/s
Peak: %PortMBsMax% MB/s
%PGRespAvg% ms
Peak: %PGRespMax% ms
%ProcUtilAvg% %
Peak: %ProcUtilMax% %
%PGUtilAvg% %
Peak: %PGUtilMax% %
%ExtResponseAvg% ms
Peak: %ExtResponseMax% ms
%ExtMBsAvg% MB/s
Peak: %ExtMBsMax% MB/s
Helpdesk | Hotline: +420 511 133 830 | Twitter: @storagecz • Intro | About Us | Portfolio | References | Partners | Specialized Section | Contacts Created: %ReportTime% © 2006 - 2016 3S.cz, s.r.o. All Rights Reserved | Using materials of these webpages including their parts is not allowed without


AMISTAD 1997 A film review by Timothy Voon Copyright 1998 Timothy Voon 2 :-) :-) for the cry of freedom
Cast: Djimon Hounsou, Matthew McConaughey, Morgan Freeman, Anthony Hopkins, Nigel Hawthorne, Stellan Skarsgard, David Paymer, Pete Postlethwaite, Anna Paquin Director: Steven Spielberg Screenplay: David Franzoni
I have perhaps wrongly felt that Steve Spielberg excels better as a director of action packed adventure movies, than one needed to handle a sensitive melodrama. With the exception of SCHINDLER'S LIST, which was too intense for my comfort zone, I have continued to hold to this generalisation until now. The AMISTAD is exactly this, a tense courtroom drama with a powerful, universal message – Freedom!
Set in the 1800's, this is the true story of a group of African slaves who manage to mutiny aboard a Spanish ship in their desperate efforts to return home. Recaptured of the coast of the United States, they are put through the mill of judicious trials before reaching the Supreme Court to be represented by the ex-President himself, John Quincy Adams (Anthony Hopkins). The nature of this case was not as simple as letting a few African slaves go, but would become the thorn of contention over which North and South would go to war.
Spielberg draws horrific pictures of the maltreatment of slaves aboard the slave ships. This is not dissimilar to the horrific suffering he recreated during the Jewish Holocaust.  Human life is reduced to a mere commodity and is as easily exchanged for coin, as it is to toss into the sea as unwanted cargo. It is these images that tell us of their unimaginable suffering and the reason why slavery must and should always remain abolished.
Anthony Hopkins once again scores another Academy Award nomination for a finely tuned character performance in portraying the great Quincy Adams. Morgan Freeman says little in the movie and has little room to manoeuvre with his character except to silently voice his protest through others. Matthew McConaughey is no stranger to the courtroom (A TIME TO KILL) and does well as the property lawyer who defends the Africans up until the Supreme Court. But it is the African slave Cinque (Djimon Hounsou), who shows us the torment of a captured human being with his every defiant expression and shed tear. He gazes up at the night sky and carries with him all the hopes of one looking for the way home. This movie is a long sit, but should be worth your while if you are willing to understand the plight of the human spirit.
Timothy Voon e-mail<EMAIL_ADDRESS>http://us.imdb.com/M/reviews_by?Tim+Voon http://www.labyrinth.net.au/~bouclier/week/movies.html
The review above was posted to the
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Class: GameMachine::Hashring
- Inherits:
-
Object
- Object
- GameMachine::Hashring
- Defined in:
- lib/game_machine/hashring.rb
Constant Summary
- RING_SIZE =
160
- REPLICAS =
160
Instance Attribute Summary (collapse)
-
- (Object) buckets
readonly
Returns the value of attribute buckets.
Class Method Summary (collapse)
Instance Method Summary (collapse)
- - (Object) add_bucket(bucket)
- - (Object) bucket_for(value)
-
- (Hashring) initialize(buckets)
constructor
A new instance of Hashring.
- - (Object) nodes
- - (Object) points
- - (Object) remove_bucket(bucket)
Constructor Details
- (Hashring) initialize(buckets)
Returns a new instance of Hashring
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# File 'lib/game_machine/hashring.rb', line 16 def initialize(buckets) @buckets = buckets @ring = ConsistentHashing::Ring.new(@buckets,REPLICAS) end |
Instance Attribute Details
- (Object) buckets (readonly)
Returns the value of attribute buckets
9 10 11 |
# File 'lib/game_machine/hashring.rb', line 9 def buckets @buckets end |
Class Method Details
+ (Object) create_actor_ring(name, ring_size = RING_SIZE)
11 12 13 14 |
# File 'lib/game_machine/hashring.rb', line 11 def self.create_actor_ring(name,ring_size=RING_SIZE) buckets = (0..ring_size).map {|r| "#{name}#{r}"} new(buckets) end |
Instance Method Details
- (Object) add_bucket(bucket)
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# File 'lib/game_machine/hashring.rb', line 36 def add_bucket(bucket) unless @buckets.include?(bucket) @ring << bucket @buckets << bucket end end |
- (Object) bucket_for(value)
43 44 45 |
# File 'lib/game_machine/hashring.rb', line 43 def bucket_for(value) @ring.node_for(value) end |
- (Object) nodes
25 26 27 |
# File 'lib/game_machine/hashring.rb', line 25 def nodes @ring.nodes end |
- (Object) points
21 22 23 |
# File 'lib/game_machine/hashring.rb', line 21 def points @ring.points end |
- (Object) remove_bucket(bucket)
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# File 'lib/game_machine/hashring.rb', line 29 def remove_bucket(bucket) if @buckets.include?(bucket) @buckets.delete_if {|b| b == bucket} @ring.delete(bucket) end end |


Pengrowth Energy: Deal Or No Deal
by Jim WallingfordSummary
- Shareholders are being offered C$.05 per share.
- Creditors can't wipe the smiles off their faces.
- Cona Resources is buying the company at a distressed price.
- Pengrowth will be debt-free with C$2.3 billion in tax pools.
- Look for a higher offer as the bid here is too low.
On November 1, Cona Resources offered to buy Pengrowth Energy Corp. (OTCQX:PGHEF) (PGF.TO) for $C740 million. Shareholders were offered the generous sum of C$.05 per share or C$28 million plus a contingent payout related to a legal matter.
That legal matter is a deposit of C$18 million paid by Grand Valley Resources for the purchase of some Alberta oil assets for C$180 million in 2017 (Globe & Mail 7/17). Since the deal fell through, Pengrowth is asking the courts to release the $18 million. So, doing the math, 18 divided by 560 equals about C$.03 per share, 60% better than the current firm offer. Now we're excited!
Waterous Energy Fund bought Cona in 2018, offering C$2.55 per share for the shares it didn't already own, a 31% premium. For Pengrowth, not so lucky. Waterous specializes in picking up distressed oil companies with attractive assets, investing more capital and turning them around. Pengrowth? Check! Here's what it bought:
Pengrowth Assets & Financials
| 2P Reserves as at June 30, 2019 | 447 mmboe | Cona offer C$1.66/bbl |
| Lindbergh 2P Reserves as at June 30 | 390 mmboe | Cona offer C$1.90/bbl |
| Lindbergh 1P Reserves as at June 30 | 213 mmboe | Coan offer C$3.47/bbl |
| Daily production 2019 ytd | 22,306 boe | Cona offer C$33k/bbl |
| Operating netback 2019 ytd | C$19.72/bbl | |
| Total est. annual netback on 8 mil bbls/year | C$158 mil | |
| Earnings before depletion, depreciation & impairment TTM | C$92 mil | |
| Tax Pools | C$2.3 Bil | |
| Lindbergh NPV10 1P Reserves June 2019 | C$1.666 Bil | |
| Lindbergh NPV10 2P Reserves June 2019 | C$2.565 Bil | |
| Enterprise Value (takeover price) | C$740 Mil |
Sources: Pengrowth Q319 & Q418 reports, presentations June and August 2019. MMBOE=million barrels of oil equivalent, ytd=year to date, TTM=trailing 12 months, NPV10=net present value discounted at 10% per year
As you can see from the above numbers, this deal looks pretty solid for Waterous. It is buying proven oil reserves valued at C$1.6 billion for C$740 million. This number doesn't include Groundbirch, so the NPV10 would be even larger. And, with the debt gone, Waterous is going to see about C$90 million per year in earnings before depletion, depreciation and impairments, which are non-cash items. And the huge tax pool means cash flow is maximized. This assumes a status quo outlook. Some reduction in expenses is probably in store as the two companies combine. There will certainly be increased capex, boosting production and profits further. And, if oil prices rise, the results will look even fatter.
So looking at the whole picture, there's probably going to be a higher offer. One obvious source: Seymour Schulich. He owns 170 million shares (about 30%) as of July. In an Early Warning report dated March 23, 2016, on Sedar (www.sedar.com), Nevada Capital Corporation reported buying 26 million shares, adding to its previous holdings of 44 million shares. Mr. Schulich's foundation also reported holding 10 million shares. I can find no record of the cost of these 54 million shares. I've estimated he paid C$1.40 for the 26 million and have calculated his purchases after that. Here is a rough guess:
- 54 mil initial holdings as per Sedar report dated March 23, '16 C$100 million
- 26 million bought March '16 C$36 million
- Subsequent buys through July '19 (source: SEDI) C$128 million
- Total: C$264 million
Obviously, with two of the amounts being guesses, the total could be off by many millions. But it's pretty safe to say that it's C$200 million plus. The question that comes to mind is: will Mr. Schulich write off over C$115 million, given his firm belief that Lindbergh is a gem? I think not.
There could also be other opportunistic investors that like the looks of the assets here. A little more for the shareholders and still makes a decent return on investment. Whatever happens, this is not a done deal.
Caveat Emptor (x 10)
There is substantial risk in buying this now. A total loss could result. This is a Vegas-style speculation. On the other hand, it could be a double in a short time. You're paying a nickel for something that supposedly will return a nickel if the current deal completes. The 100% downside is if the deal falls through and the "alternative transaction" kicks in:
In the event of an Alternative Transaction, there is no expectation that Pengrowth shareholders will receive any consideration in exchange for their Shares and Shareholders are therefore encouraged to vote in favor of the Transaction"
Disclosure: I/we have no positions in any stocks mentioned, but may initiate a long position in PGHEF over the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.


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mybibliography.bib
@inproceedings{DeSantoEtAl16TAG,
author = {De Santo, Aniello and Aksenova, Alena and Graf, Thomas},
title = {An Alternate View on Strong Lexicalization in {TAG}},
booktitle = {Proceedings of the 12th International Workshop on {T}ree {A}djoining {G}rammars and Related Formalisms ({TAG}+12)},
year = {2016},
address = {Düsseldorf, Germany},
pages = {93--102},
url = {http://www.aclweb.org/anthology/W16-3310}
}
@inproceedings{GrafEtAl16FG,
author = {Graf, Thomas and Aksenova, Alena and De Santo, Aniello},
title = {A Single Movement Normal Form for {M}inimalist Grammars},
year = {2016},
booktitle = {Formal Grammar},
note = {To appear}
}


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