Designing for CrossFit Group Classes
CrossFit is a set of high intensity workout that combines both cardio and weight training in a very short amount of time. For this project, I followed the CrossFit design guideline provided by my classmate Qing and designed Any.Fit. It uses a projector and camera to create an immersive experience of taking a CrossFit class for the users at home. Any.Fit solves the main issues of CrossFit while preserving the characteristics of a CrossFit class.
My final design is an wearable instrument in the form of a glove. There are sensors on each of the fingers that can detect surface textures. The data is sent to a smart phone remotely and corresponding audio is played in the headphone.
Read design documentIn this project, I focused on five of the ten design guidelines provided by Qing:
A virtual reality application is the first idea that came into my mind when I think of creating such experience. However, the expense of a virtual reality headset and the discomfort of wearing one made me realized it is not an appropriate solution. So I started to explore more possibilities.
In the next phase of the design process, I was looking at commercial products (e.g. Peloton), award-winning designs (e.g. Core77) for inspirations. I eventually settled upon the idea of using a projector to create an immersive experience. Since projectors were already used by pioneers of virtual reality in CAVE (Cave automatic virtual environment) to create illusions of reality in a small room, I decided to project videos of CrossFit class onto two walls.


the and cytomegalovirus human HCMV for with gene viral protein expression that been are replication []. infection major cell from proteins has The have transcription activity immediate-early early [,,]. antiviral [,]. DNA compounds cellular via was not activation during which including target host histone kinase inhibit this MIEP Virol../JVI...-. also signalling these latency factor inhibitor mechanism nuclear shown Virol../JVI.- anti-HCMV binding cells may pathways reactivation {background PML against but genes inhibitors targeting However, This identified other function inhibition inhibits regulation required STAT Section virus Acad. Sci. clinical its known pathway Natl. 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|
XS-Labs / C++ Utility Library
|
#include <stdint.h>
Go to the source code of this file.
Namespaces | |
| XS | |
| Declaration of the XS::Atomic functions. | |
Typedefs | |
| typedef int8_t | XS::Int8 |
| Exact-width 8 bits signed integer. More... | |
| typedef uint8_t | XS::UInt8 |
| Exact-width 8 bits unsigned integer. More... | |
| typedef int16_t | XS::Int16 |
| Exact-width 16 bits signed integer. More... | |
| typedef uint16_t | XS::UInt16 |
| Exact-width 16 bits unsigned integer. More... | |
| typedef int32_t | XS::Int32 |
| Exact-width 32 bits signed integer. More... | |
| typedef uint32_t | XS::UInt32 |
| Exact-width 32 bits unsigned integer. More... | |
| typedef int64_t | XS::Int64 |
| Exact-width 64 bits signed integer. More... | |
| typedef uint64_t | XS::UInt64 |
| Exact-width 64 bits unsigned integer. More... | |
Variables | |
| const Int8 | XS::Int8Max = 0x7F |
| Maximum value for XS::Int8. More... | |
| const Int16 | XS::Int16Max = 0x7FFF |
| Maximum value for XS::Int16. More... | |
| const Int32 | XS::Int32Max = 0x7FFFFFFF |
| Maximum value for XS::Int32. More... | |
| const Int64 | XS::Int64Max = 0x7FFFFFFFFFFFFFFF |
| Maximum value for XS::Int64. More... | |
| const UInt8 | XS::UInt8Max = 0xFF |
| Maximum value for XS::UInt8. More... | |
| const UInt16 | XS::UInt16Max = 0xFFFF |
| Maximum value for XS::UInt16. More... | |
| const UInt32 | XS::UInt32Max = 0xFFFFFFFF |
| Maximum value for XS::UInt32. More... | |
| const UInt64 | XS::UInt64Max = 0xFFFFFFFFFFFFFF |
| Maximum value for XS::UInt64. More... | |
| const Int8 | XS::Int8Min = static_cast< Int8 >( -Int8Max - 1 ) |
| Minimum value for XS::Int8. More... | |
| const Int16 | XS::Int16Min = static_cast< Int16 >( -Int16Max - 1 ) |
| Minimum value for XS::Int16. More... | |
| const Int32 | XS::Int32Min = static_cast< Int32 >( -Int32Max - 1 ) |
| Minimum value for XS::Int32. More... | |
| const Int64 | XS::Int64Min = static_cast< Int64 >( -Int64Max - 1 ) |
| Minimum value for XS::Int64. More... | |


Blog Archive 2014 Notes From a Dropwizard / Spring Migration Mar 24 2014 Starbucks’ Big Missed Opportunity Feb 12 2014 2013 Grails Event Push Real-world Notes Jul 22 2013 A Sencha Dirty Store Records Quirk Jul 01 2013 Updated ExtJs4 Mock Ajax Library for Jasmine Apr 02 2013 ExtJS4: Fun (Not Really) With Styling Checkboxes in Grids Mar 27 2013 Thoughts on Testem vs Testacular (Karma) Mar 26 2013 Embrace Your Javascript Overlords Jan 15 2013 2012 Using Tincr With Grails for Live Client-Side Reloading Nov 16 2012 Four End User Advantages of HTML5 Apps for Mobile Devices Nov 14 2012 Log4Javascript - Quick Intro and a LocalStorage Custom Appender Nov 12 2012 Kickstarter and the Fine Line of Investment Aug 31 2012 Improving Mobile Capabilities of Geb Pages and Spock Specifications May 15 2012 Backbone.js: From Hashbangs to HTML5 PushState Feb 21 2012 Up and Blogging With Octopress, Mao and GitHub Pages Feb 17 2012


INNOCENT BLOOD A film review by Frank Maloney Copyright 1992 Frank Maloney
INNOCENT BLOOD is a film directed by John Landis and written by Michael Wolk. It stars Anne Parillaud, Robert Loggia, Anthony LaPaglia, Don Rickles, with cameos by Sam Raimi, Frank Oz, and Alfred Hitchcock. Rated R, for graphic vampirism, language, violence, and simulated sex.
INNOCENT BLOOD is No. 2 in this fall's vampire cycle. As such it falls thematically and stylistically between the deliberately dumb BUFFY THE VAMPIRE SLAYER and the big-budget earnestness that I am expecting from the upcoming DRACULA from the always over-the-top Francis Ford Coppola.  (My copy of VIDEO HOUND'S GOLDEN MOVIE RETRIEVER 1991 lists almost 120 video titles under the rubric "Vampires" as well as 18 under "Vampire Spoof.") The result is a very enjoyable film, indeed, as a black comedy, as a horror film, and as an interesting and sexy love story. It does fail to deliver much in the way of suspense, however, except in the first encounter between the vampire, Marie, and her food.
The credit for the success goes first of all to John Landis, the director who brought us AN AMERICAN WEREWOLF IN LONDON and TWILIGHT ZONE--THE MOVIE, inter alia. I understand that Landis has a current TV series that uses a lot of film clips ("Dream On"). INNOCENT BLOOD is likewise populated with lots of TVs showing old horror films. We see Bela Lugosi and Christopher Lee clips, we see THE BEAST FROM 20,000 FATHOMS and KONGA clips, we see Dan Quayle (who gets a credit in the final cast list). Even security guards are watching commercial TV, not their surveillance monitors. Landis takes the script of first-time screenwriter Michael Wolk to create a sense of wonder and amazed disbelief, of curiosity, as well as a series of running gags and telling details about a vampire with a social conscience, a vampire who experiences post-prandial letdown, a vampire who sometimes needs sex more than blood, a vampire who can be trusted by good guys, at least.
Anne Parillaud, the recent star of LA FEMME NIKITA, takes to the role of Marie with both delicacy and ferocity. Our first sight of her is of her totally nude, hungry, brooding in her candle-lit hideaway. Her voice-over enunciates her three rules, with convincing demonstrations. Then she breaks one of her own rules and all hell breaks lose, as it were. Parillaud is quite wonderful as Marie, very sexy, very tough, at times voluptuous, at times boyish, alternately the innocent and the enthusiastic pleasure-seeker.
Her opposite and partner is played by Anthony LaPaglia, who is himself quite attractive in an unconventional way. We don't get see quite as much of his nude body as we do of Parillaud's, but he certainly has his own charms. He's also a pretty good actor in his role as the undercover cop who joins up with a pretty vampire he can't trust to get a mafioso turned vampire himself.
Robert Loggia, as the monstrous Sally the Shark, has the best time of all. Loggia electrifies every scene he's in with an amazing energy that rises to a memorable and visually dazzling climax of hubris.
The supporting cast is a lot of fun. Especially enjoyable is Don Rickles, who plays Sal's mouthpiece, and has a unforgettable final scene. Really, any film that makes me like Don Rickles has got to be a remarkable film. Also appearing are Sam Raimi, the director of EVIL DEAD, in a meat locker, and Frank Oz, the director of the musical version of LITTLE SHOP OF HORRORS, as a very droll autopsist. Alfred Hitchcock does a cameo via the small scene as he wrestles his big fiddle in STRANGERS ON A TRAIN.
Some of you may find the homages clutter up the film and get in the way of the narrative. For me they worked as a commentary that said this film is not entirely a mere vampire film. There is a theme of disease and of safe sex that is explicit in the wonderful sequence where Marie and her revolted-attracted partner are forced to wait out the daylight in a cheap motel. Certainly, Marie's food found out to their regret that encounters with her were the last word in unsafe sex.
I recommend INNOCENT BLOOD highly. It is well worth even a full-price ticket. However, it is unsuitable for children and for the truly squeamish.
-- Frank Richard Aloysius Jude Maloney .
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


Experts in Web and Cloud.
I'm Shawn Cicoria on twitter.
@cicorias
We listen and respond to what your're saying.
We exist virtually and can design for you anywhere in the world.
We have more experience in the web, cloud, applications than most organizations.


Assigning to a constructor or its prototype is disallowed! Expression: {0}
Occurs when an expression attempts to assign a value on a field of any of the Boolean
, Number
,
String
, Array
, Object
, or Function
constructors or the corresponding prototypes.
Angular bans the modification of these constructors or their prototypes from within expressions, since it is a known way to modify the behaviour of existing functions/operations.
To resolve this error, avoid assigning to fields of constructors or their prototypes in expressions.


Created tongue-in-cheek circa 2006 during MySpace's heyday, "WineSnob SF" launched as a web blog by two San Francisco Bay Area vino lovers as they began their journey in the wine world. Weeknights downtown were often spent at a wine bar they dubbed "homebase" which featured a long list of wines by the glass & curated flights that rotated weekly for years.
Luckily enough to live just an hour away from California's Wine Country, trips to Napa and Sonoma were easy-breezy, and there's been no shortage of wine bars that have popped up in the surrounding cities over the last decade.
From falling in love with Malbecs a dozen years ago to discovering new West Coast vineyards in Oregon's Applegate Valley, Team WineSnob SF has decided to take their passion to the next level and bring you along for the ride. From taking a course as Tuscan Wine School in Florence, Italy to needing an intervention for wine club memberships, we bring you all we love to swirl smell and sip.


How to Obtain SIR-C Software
If you wish to obtain an 8mm tape with the SIR-C CEOS_READER software , the
data
decompression software and the
SIR-C/AIRSAR conversion
software , these
are the steps that have to be taken:
- print out the software licenses
- fill out and sign
- fax all portions to :
Attention: Ellen O'Leary
Radar Data Center
Jet Propulsion Laboratory
1-818-393-2640
- An 8mm tape containing the software (with manuals) will be mailed to you.
If you have already signed and returned the license agreement, and want
to get the latest version by ftp, then contact Ellen O'leary for
further instructions :
email<EMAIL_ADDRESS>Imaging Radar Home Page
Updated 8/27/94
bruce.chapman@jpl.nasa.gov


High Priest Sylvain:
To become an Elven Oracle, one who lives to seek the will of Eva, the goddess of water whom the Elves serve, your level must be at least 20, and you must also pass the Test of the Elven Oracle.
Description of Elven Oracle
Change profession to Elven Oracle
Return


Transcription of a minimal promoter from the NF-IL6 gene is regulated by CREB/ATF and SP1 proteins in U937 promonocytic cells.
Abstract
NF-IL6 is an important transcriptional regulator of genes induced in activated monocytes/macrophages, and NF-IL6 is the only CCAAT/enhancer-binding protein (C/EBP) family member whose steady-state mRNA levels increase upon activation of monocytes (1). We show that increased transcription of the NF-IL6 gene is responsible, at least in part, for induction of NF-IL6 mRNA following activation of U937 promonocytic cells. We have identified a 104-bp minimal promoter region of the NF-IL6 gene that is sufficient for basal and activation-dependent induction of transcription in U937 cells. This region contains binding sites for the cAMP response element-binding protein/activation transcription factor (CREB/ATF) and Sp1 families of transcription factors. Each site is functionally important and contributes independently to transcription of the NF-IL6 gene in U937 cells.


module
:
tls
Static Properties
CryptoStream
SecurePair
Server
TLSSocket
Static Functions
connect
createSecureContext
createSecurePair
createServer
getCiphers
Additional Documentation Pages
Client-Initiated Renegotiation Attack Mitigation
Library Documentation
NPN and SNI
Perfect Forward Secrecy
Protocol Support
Static Properties
class
CryptoStream
class
SecurePair
class
Server
class
TLSSocket
Static Functions
connect
(
) {
createSecureContext
(
) {
createSecurePair
(
) {
createServer
(
) {
getCiphers
(
) {


Sat, 25 Apr 2020 18:31:46 +0000
[18:31:46] Composing titles...
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[18:31:46] Composing terms for `Categories` taxonomy...
[18:31:46] Composing terms for `Tags` taxonomy...
[18:31:46] Composing URLs for images...
[18:31:46] Composing URLs for attachments files...
[18:31:46] Composing unique keys...
[18:31:46] Processing posts...
[18:31:46] Data parsing via add-ons...
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[18:31:46] Record #1
[18:31:46] ACTION: pmxi_before_post_import ...
[18:31:46] Combine all data for post `Cast Iron Tram Shelter`...
[18:31:46] Find corresponding article among previously imported for post `Cast Iron Tram Shelter`...
[18:31:46] Duplicate post wasn't found with unique key `20`...
[18:31:46] Applying filter `pmxi_article_data` for `Cast Iron Tram Shelter`
[18:31:46] CREATING `Cast Iron Tram Shelter` `Post`
[18:31:46] Associate post `Cast Iron Tram Shelter` with current import ...
[18:31:46] IMAGES:
[18:31:46] TAXONOMIES:
[18:31:46] - Importing taxonomy `category` ...
[18:31:46] - Importing taxonomy `post_tag` ...
[18:31:46] CREATED `Cast Iron Tram Shelter` `Post` (ID: 6513)
[18:31:46] ACTION: pmxi_saved_post
[18:31:46] ACTION: pmxi_after_post_import
[18:31:46] ---
[18:31:46] Record #2
[18:31:46] ACTION: pmxi_before_post_import ...
[18:31:46] Combine all data for post `St Mary's Jubilee School`...
[18:31:46] Find corresponding article among previously imported for post `St Mary's Jubilee School`...
[18:31:46] Duplicate post wasn't found with unique key `26`...
[18:31:46] Applying filter `pmxi_article_data` for `St Mary's Jubilee School`
[18:31:46] CREATING `St Mary's Jubilee School` `Post`
[18:31:46] Associate post `St Mary's Jubilee School` with current import ...
[18:31:46] IMAGES:
[18:31:46] TAXONOMIES:
[18:31:46] - Importing taxonomy `category` ...
[18:31:46] - Importing taxonomy `post_tag` ...
[18:31:46] CREATED `St Mary's Jubilee School` `Post` (ID: 6514)
[18:31:46] ACTION: pmxi_saved_post
[18:31:46] ACTION: pmxi_after_post_import
[18:31:46] ---
[18:31:46] Record #3
[18:31:46] ACTION: pmxi_before_post_import ...
[18:31:46] Combine all data for post `Karl Duldig Ceramic Mural - Adam & Eve`...
[18:31:46] Find corresponding article among previously imported for post `Karl Duldig Ceramic Mural - Adam & Eve`...
[18:31:46] Duplicate post wasn't found with unique key `28`...
[18:31:46] Applying filter `pmxi_article_data` for `Karl Duldig Ceramic Mural - Adam & Eve`
[18:31:46] CREATING `Karl Duldig Ceramic Mural - Adam & Eve` `Post`
[18:31:46] Associate post `Karl Duldig Ceramic Mural - Adam & Eve` with current import ...
[18:31:46] IMAGES:
[18:31:46] TAXONOMIES:
[18:31:46] - Importing taxonomy `category` ...
[18:31:46] - Importing taxonomy `post_tag` ...
[18:31:46] CREATED `Karl Duldig Ceramic Mural - Adam & Eve` `Post` (ID: 6515)
[18:31:46] ACTION: pmxi_saved_post
[18:31:46] ACTION: pmxi_after_post_import
[18:31:46] ---
[18:31:46] Record #4
[18:31:46] ACTION: pmxi_before_post_import ...
[18:31:46] Combine all data for post `Karl Dulgig Ceramic Mural - The Family`...
[18:31:46] Find corresponding article among previously imported for post `Karl Dulgig Ceramic Mural - The Family`...
[18:31:46] Duplicate post wasn't found with unique key `29`...
[18:31:46] Applying filter `pmxi_article_data` for `Karl Dulgig Ceramic Mural - The Family`
[18:31:46] CREATING `Karl Dulgig Ceramic Mural - The Family` `Post`
[18:31:46] Associate post `Karl Dulgig Ceramic Mural - The Family` with current import ...
[18:31:46] IMAGES:
[18:31:46] TAXONOMIES:
[18:31:46] - Importing taxonomy `category` ...
[18:31:46] - Importing taxonomy `post_tag` ...
[18:31:46] CREATED `Karl Dulgig Ceramic Mural - The Family` `Post` (ID: 6516)
[18:31:46] ACTION: pmxi_saved_post
[18:31:46] ACTION: pmxi_after_post_import
[18:31:46] ---
[18:31:46] Record #5
[18:31:46] ACTION: pmxi_before_post_import ...
[18:31:46] Combine all data for post `Fairfield Hall`...
[18:31:46] Find corresponding article among previously imported for post `Fairfield Hall`...
[18:31:46] Duplicate post wasn't found with unique key `39`...
[18:31:46] Applying filter `pmxi_article_data` for `Fairfield Hall`
[18:31:46] CREATING `Fairfield Hall` `Post`
[18:31:46] Associate post `Fairfield Hall` with current import ...
[18:31:46] IMAGES:
[18:31:46] TAXONOMIES:
[18:31:46] - Importing taxonomy `category` ...
[18:31:46] - Importing taxonomy `post_tag` ...
[18:31:46] CREATED `Fairfield Hall` `Post` (ID: 6517)
[18:31:46] ACTION: pmxi_saved_post
[18:31:46] ACTION: pmxi_after_post_import
[18:31:46] ---
[18:31:46] Record #6
[18:31:46] ACTION: pmxi_before_post_import ...
[18:31:46] Combine all data for post `Glen Eira`...
[18:31:46] Find corresponding article among previously imported for post `Glen Eira`...
[18:31:46] Duplicate post wasn't found with unique key `47`...
[18:31:46] Applying filter `pmxi_article_data` for `Glen Eira`
[18:31:46] CREATING `Glen Eira` `Post`
[18:31:46] Associate post `Glen Eira` with current import ...
[18:31:46] IMAGES:
[18:31:46] TAXONOMIES:
[18:31:46] - Importing taxonomy `category` ...
[18:31:46] - Importing taxonomy `post_tag` ...
[18:31:46] CREATED `Glen Eira` `Post` (ID: 6518)
[18:31:46] ACTION: pmxi_saved_post
[18:31:46] ACTION: pmxi_after_post_import
[18:31:46] ---
[18:31:46] Record #7
[18:31:46] ACTION: pmxi_before_post_import ...
[18:31:46] Combine all data for post `Hillcrest Estate - Historic Area`...
[18:31:46] Find corresponding article among previously imported for post `Hillcrest Estate - Historic Area`...
[18:31:46] Duplicate post wasn't found with unique key `48`...
[18:31:46] Applying filter `pmxi_article_data` for `Hillcrest Estate - Historic Area`
[18:31:46] CREATING `Hillcrest Estate - Historic Area` `Post`
[18:31:46] Associate post `Hillcrest Estate - Historic Area` with current import ...
[18:31:46] IMAGES:
[18:31:46] TAXONOMIES:
[18:31:46] - Importing taxonomy `category` ...
[18:31:46] - Importing taxonomy `post_tag` ...
[18:31:46] CREATED `Hillcrest Estate - Historic Area` `Post` (ID: 6519)
[18:31:46] ACTION: pmxi_saved_post
[18:31:46] ACTION: pmxi_after_post_import
[18:31:46] ---
[18:31:46] Record #8
[18:31:46] ACTION: pmxi_before_post_import ...
[18:31:46] Combine all data for post `Former Primitive Methodist Church (South Melbourne)`...
[18:31:46] Find corresponding article among previously imported for post `Former Primitive Methodist Church (South Melbourne)`...
[18:31:46] Duplicate post wasn't found with unique key `76`...
[18:31:46] Applying filter `pmxi_article_data` for `Former Primitive Methodist Church (South Melbourne)`
[18:31:46] CREATING `Former Primitive Methodist Church (South Melbourne)` `Post`
[18:31:46] Associate post `Former Primitive Methodist Church (South Melbourne)` with current import ...
[18:31:46] IMAGES:
[18:31:46] TAXONOMIES:
[18:31:46] - Importing taxonomy `category` ...
[18:31:46] - Importing taxonomy `post_tag` ...
[18:31:46] CREATED `Former Primitive Methodist Church (South Melbourne)` `Post` (ID: 6520)
[18:31:46] ACTION: pmxi_saved_post
[18:31:46] ACTION: pmxi_after_post_import
[18:31:46] ---
[18:31:46] Record #9
[18:31:46] ACTION: pmxi_before_post_import ...
[18:31:46] Combine all data for post `Beauville Estate- Historic Area`...
[18:31:46] Find corresponding article among previously imported for post `Beauville Estate- Historic Area`...
[18:31:46] Duplicate post wasn't found with unique key `79`...
[18:31:46] Applying filter `pmxi_article_data` for `Beauville Estate- Historic Area`
[18:31:46] CREATING `Beauville Estate- Historic Area` `Post`
[18:31:46] Associate post `Beauville Estate- Historic Area` with current import ...
[18:31:46] IMAGES:
[18:31:46] TAXONOMIES:
[18:31:46] - Importing taxonomy `category` ...
[18:31:46] - Importing taxonomy `post_tag` ...
[18:31:46] CREATED `Beauville Estate- Historic Area` `Post` (ID: 6521)
[18:31:46] ACTION: pmxi_saved_post
[18:31:46] ACTION: pmxi_after_post_import
[18:31:46] ---
[18:31:46] Record #10
[18:31:46] ACTION: pmxi_before_post_import ...
[18:31:46] Combine all data for post `Former Harleston`...
[18:31:46] Find corresponding article among previously imported for post `Former Harleston`...
[18:31:46] Duplicate post wasn't found with unique key `90`...
[18:31:46] Applying filter `pmxi_article_data` for `Former Harleston`
[18:31:46] CREATING `Former Harleston` `Post`
[18:31:46] Associate post `Former Harleston` with current import ...
[18:31:46] IMAGES:
[18:31:46] TAXONOMIES:
[18:31:46] - Importing taxonomy `category` ...
[18:31:46] - Importing taxonomy `post_tag` ...
[18:31:46] CREATED `Former Harleston` `Post` (ID: 6522)
[18:31:46] ACTION: pmxi_saved_post
[18:31:46] ACTION: pmxi_after_post_import
[18:31:46] ---
[18:31:46] Record #11
[18:31:46] ACTION: pmxi_before_post_import ...
[18:31:46] Combine all data for post `St Kilda East Congregation Church Honour Roll (First World War)`...
[18:31:46] Find corresponding article among previously imported for post `St Kilda East Congregation Church Honour Roll (First World War)`...
[18:31:46] Duplicate post wasn't found with unique key `97`...
[18:31:46] Applying filter `pmxi_article_data` for `St Kilda East Congregation Church Honour Roll (First World War)`
[18:31:46] CREATING `St Kilda East Congregation Church Honour Roll (First World War)` `Post`
[18:31:46] Associate post `St Kilda East Congregation Church Honour Roll (First World War)` with current import ...
[18:31:46] IMAGES:
[18:31:46] TAXONOMIES:
[18:31:46] - Importing taxonomy `category` ...
[18:31:46] - Importing taxonomy `post_tag` ...
[18:31:46] CREATED `St Kilda East Congregation Church Honour Roll (First World War)` `Post` (ID: 6523)
[18:31:46] ACTION: pmxi_saved_post
[18:31:46] ACTION: pmxi_after_post_import
[18:31:46] ---
[18:31:46] Record #12
[18:31:46] ACTION: pmxi_before_post_import ...
[18:31:46] Combine all data for post `St George Uniting Church Honour Roll (St Kilda East) (Second World War)`...
[18:31:46] Find corresponding article among previously imported for post `St George Uniting Church Honour Roll (St Kilda East) (Second World War)`...
[18:31:46] Duplicate post wasn't found with unique key `98`...
[18:31:46] Applying filter `pmxi_article_data` for `St George Uniting Church Honour Roll (St Kilda East) (Second World War)`
[18:31:46] CREATING `St George Uniting Church Honour Roll (St Kilda East) (Second World War)` `Post`
[18:31:46] Associate post `St George Uniting Church Honour Roll (St Kilda East) (Second World War)` with current import ...
[18:31:46] IMAGES:
[18:31:46] TAXONOMIES:
[18:31:46] - Importing taxonomy `category` ...
[18:31:46] - Importing taxonomy `post_tag` ...
[18:31:46] CREATED `St George Uniting Church Honour Roll (St Kilda East) (Second World War)` `Post` (ID: 6524)
[18:31:46] ACTION: pmxi_saved_post
[18:31:46] ACTION: pmxi_after_post_import
[18:31:46] ---
[18:31:46] Record #13
[18:31:46] ACTION: pmxi_before_post_import ...
[18:31:46] Combine all data for post `Bellecourt`...
[18:31:46] Find corresponding article among previously imported for post `Bellecourt`...
[18:31:46] Duplicate post wasn't found with unique key `123`...
[18:31:46] Applying filter `pmxi_article_data` for `Bellecourt`
[18:31:46] CREATING `Bellecourt` `Post`
[18:31:46] Associate post `Bellecourt` with current import ...
[18:31:46] IMAGES:
[18:31:46] TAXONOMIES:
[18:31:46] - Importing taxonomy `category` ...
[18:31:46] - Importing taxonomy `post_tag` ...
[18:31:46] CREATED `Bellecourt` `Post` (ID: 6525)
[18:31:46] ACTION: pmxi_saved_post
[18:31:46] ACTION: pmxi_after_post_import
[18:31:46] ---
[18:31:46] Record #14
[18:31:46] ACTION: pmxi_before_post_import ...
[18:31:46] Combine all data for post `Former State Savings Bank`...
[18:31:46] Find corresponding article among previously imported for post `Former State Savings Bank`...
[18:31:46] Duplicate post wasn't found with unique key `137`...
[18:31:46] Applying filter `pmxi_article_data` for `Former State Savings Bank`
[18:31:46] CREATING `Former State Savings Bank` `Post`
[18:31:46] Associate post `Former State Savings Bank` with current import ...
[18:31:46] IMAGES:
[18:31:46] TAXONOMIES:
[18:31:46] - Importing taxonomy `category` ...
[18:31:46] - Importing taxonomy `post_tag` ...
[18:31:46] CREATED `Former State Savings Bank` `Post` (ID: 6526)
[18:31:46] ACTION: pmxi_saved_post
[18:31:46] ACTION: pmxi_after_post_import
[18:31:46] ---
[18:31:46] Record #15
[18:31:46] ACTION: pmxi_before_post_import ...
[18:31:46] Combine all data for post `Burreel`...
[18:31:46] Find corresponding article among previously imported for post `Burreel`...
[18:31:46] Duplicate post wasn't found with unique key `140`...
[18:31:46] Applying filter `pmxi_article_data` for `Burreel`
[18:31:46] CREATING `Burreel` `Post`
[18:31:46] Associate post `Burreel` with current import ...
[18:31:46] IMAGES:
[18:31:46] TAXONOMIES:
[18:31:46] - Importing taxonomy `category` ...
[18:31:46] - Importing taxonomy `post_tag` ...
[18:31:46] CREATED `Burreel` `Post` (ID: 6527)
[18:31:46] ACTION: pmxi_saved_post
[18:31:46] ACTION: pmxi_after_post_import
[18:31:46] ---
[18:31:46] Record #16
[18:31:46] ACTION: pmxi_before_post_import ...
[18:31:46] Combine all data for post `Presentation Convent`...
[18:31:46] Find corresponding article among previously imported for post `Presentation Convent`...
[18:31:46] Duplicate post wasn't found with unique key `145`...
[18:31:46] Applying filter `pmxi_article_data` for `Presentation Convent`
[18:31:46] CREATING `Presentation Convent` `Post`
[18:31:47] Associate post `Presentation Convent` with current import ...
[18:31:47] IMAGES:
[18:31:47] TAXONOMIES:
[18:31:47] - Importing taxonomy `category` ...
[18:31:47] - Importing taxonomy `post_tag` ...
[18:31:47] CREATED `Presentation Convent` `Post` (ID: 6528)
[18:31:47] ACTION: pmxi_saved_post
[18:31:47] ACTION: pmxi_after_post_import
[18:31:47] Cleaning temporary data...


Feature Requests
The purpose of this document is to provide an alternate to GitHub issues for tracking feature requests. This eliminates noise when viewing issues. Items ending up on this page are not guaranteed to make it into the SDK. Items on this page are not sorted by priority.
Contributing
Please feel free to submit feature requests and add comments or suggestions on existing feature requests. If you are interested in contributing code, please open a dialog with us first. Ideally we can avoid wasted dev cycles by discussing alternatives up front.
We can be found in our Gitter channel and on the AWS Forum for Ruby.
Ideas
Lazy Building of Resource Objects from Raw Responses
There are performance/memory questions around some very large responses (such
as an unfiltered request to Aws::EC2::Client#DescribeImages
API), especially
when they are turned into even larger resource objects in memory. One feature
request is to cut down on this memory usage, perhaps by lazily building resource
objects, if possible. This feature request has an investigation component.
See related GitHub issue #1379.
Add a Way to Extract Queue Name from Aws::SQS::Errors::NonExistentQueue
Currently available from context
, but could some easier way to get this be
added when exception functionality is enhanced?
See related GitHub issue #1352.
Add StringIO Support for Aws::S3::Object#upload_file
See related GitHub issue #1351.
Add JSON Serialization Helper (Related to SNS Client API)
See related GitHub issue #1299.
Add NatGateways to the Aws::EC2::Vpc Resource Object
See related GitHub issue #1323.
Add Use of list_objects_v2 to the S3 Resource Object
See related GitHub issue #1335.
Add Randomness to Retry Backoff
Currently, the default retry algorithm uses exactly the same backoff time for every execution. Adding some randomness to this would be accepted as a PR.
See related GitHub issue #1336.
Handle S3 #exists? Edge Cases
See related GitHub issue #1267.
Retry S3 Transfers on BadDigest Error
See related GitHub issue #1264.
Add Waiters for Aws::ElasticBeanstalk
See related GitHub issue #1259.
Provide an Interface to Interact With Shared Configuration Values
The SDK uses the Shared Credential and Configuration files at various points within the default credential provider chain, and other places. However, there is not currently a way to interact with these raw configuration values. This request is to expose these values in a consistent and usable way.
See related GitHub issue #1256.
Expose Raw Exception Response Bodies
The SDK uses first the exception response __type
field, then the ErrorCode
field, to determine the exception's code. However, the related issue shows at
least one case where the ErrorCode
field would be the more descriptive error.
We cannot change the exception classing behavior now, but exposing the raw
exception response fields could improve the exception handling experience.
See related GitHub issue #1189.
See related GitHub issue #1376.
Add Waiters for Aws::SSM
See related GitHub issue #1185.
Customize Request HTTP Verbs
Some services accept multiple HTTP verbs, potentially with differing behavior. This feature request would be to investigate how multiple HTTP verbs could be supported.
See related GitHub issue #1181.
Cache-Friendly Presigned URLs
Add functionality to the presigner to improve the experience of generating cache friendly presigned URLs. For example:
req = s3.presigned_request(:get_object, bucket:'...', key: '...')
req.uri #=> "https://..."
req.headers #=> { ... } authorization in here
See related GitHub issue #1152.
Add Option to Create Unsigned Requests
Add support to make unsigned calls using the SDK. Can be useful for cases such
as anonymously downlading S3 objects that have a public-read
ACL.
See related GitHub issue #1149.
Enhance Aws::AutoScaling::Resource to Surface Tag Values in Collection
Not all Auto Scaling tag resources surface the value, should be doable with existing client calls within the resource.
See related GitHub issue #1145.
Programmable Stubs
Provide an easy way to create stubbed clients that have programmable behavior.
See related GitHub issue #1120.
Add Interface to Create Custom Waiters
For cases where a particular waiter doesn't exist, this request would provide an interface with which someone could define a waiter in code, rather than having to alter the SDK source JSON files.
See related GitHub issue #1047.
Add Header Whitelist for Request Signing
There are many headers that we blacklist from adding to the signed request. For example, the blacklist includes some headers that can be legally modified in transit, increasing the risk of signature errors despite a properly constructed request.
This feature request is to allow users to manually whitelist a header to be signed. In essence, that user would be certifying "I know that this header will not be modified in transit or be otherwise changed, so sign it."
See related GitHub issue #1051.
Add Injectable Timestamp to Presigner
Since the signing logic uses now
for the signing time, the
::Aws::S3::Presigner class will always generate unique URLs, though use cases
can exist for wanting consistency across generated URLs. The ask would be to add
support for an injectable timestamp into signing via the presigner.
See related GitHub issue #1013.
Accept AWS CLI Output for Stubbed Responses
There are some format differences between the input/output shapes of the AWS CLI and the AWS SDK for Ruby. Supporting a transformation between these two formats could be useful if using actual AWS CLI output as stubbed output for Ruby tests.
See related GitHub issue #970.
Add SDK Performance Metrics in Amazon CloudWatch
Similar to the AWS SDK for Java's feature.
This would create a plugin that takes metrics about API call performance and possibly other SDK performance metrics, and would enable automatic uploads to Amazon CloudWatch.
Add Pagination Support for Amazon CloudSearch Domain Client
The current spec for pagination is not able to support the response structure of the Aws::CloudSearchDomain::Client#search API, for example. The feature request is to either add a custom CloudSearch Domain pagination plugin, or to enhance pagination in general to support this type of response.
See related GitHub issue #984.
Add Support for Copying Object Versions to Aws::S3::Resource
You can copy Amazon S3 object versions to a new Amazon S3 object using the
Aws::S3::Client#copy_from
operation. However, there isn't currently a way to
do this in the resource interface. This is a feature request to add that support
to the ::Aws::S3::Resource interface.
See related GitHub issue #969.
Add Multipart Download Helper(s)
The SDK already has a multipart upload helper for Amazon S3, but doing a GET request for very large objects can be problematic using the client directly. Byte ranged requests allow the user to circumvent the issue, but this could be distilled into a high level helper class that manages multipart downloads in this manner.
See related GitHub issue #990 for an example related to Amazon S3.
See related GitHub issue #987 for an example related to the Amazon RDS client (similar, not identical, pattern).
Add accelerate endpoint support to presigned POST requests
The presigned POST utility does not support pre-signing Amazon S3 acclerated bucket endpoints. Explore adding an explicit configuration option to enable this, or determine this by looking at the client configuration.
Add ability to pre-sign a request
To work around limitations of S3 bucket policies, it is necessary to send certain headers as headers and to not hoist them to querystring of a request URI. This would be useful functionality in general.
See related GitHub issue #874.
Add Proxy Option to Instance Profile Credentials
The SDK ignores environment proxies by default for security reasons. Add the ability to configure a proxy or to enable the default proxy from the constructor.
See related GitHub issue #956.
Configurable Default Retry Limit for Instance Profile Credentials
The default credential provider chain will check for credentials from the EC2 instance metadata service once before giving up. This is intentional to prevent development environments from hanging for an extended period of time when not running on Amazon EC2.
Defaulting to no retries is problematic for code running on Amazon EC2, especially in a situation where the code is executing early in the boot process and the credentials are not immediately available. This forces developers to create a custom ::Aws::InstanceProfileCredentials object to configure retires, complicating configuration for development environments.
Adding a retry limit for instance profile credentials might be a possible solution.
See related GitHub issue #717.
Progress callbacks for Amazon S3 Object uploads
To enable users to track file upload process, it would be helpful to support a progress callback for Aws::S3::Object#upload_file.
See related GitHub issue #648.
Aws::MachineLearning Booleans
The #predict
operation of ::Aws::MachineLearning::Client accepts a map of string-to-strings. When a user wishes to provide a boolean value, the API expects the boolean to be "1" or "0". It would be helpful if a plugin were added that converted the boolean values of the record map from true
and false
to their expected string formats.
See related GitHub issue #878.
Support Raw credential objects from AWS API responses in config
See related GitHub issue #1009.


Geo Coding
Please give access to your location or enter location manually
Save Location
latitude:
longitude:


Inside the layout, is the central column.
Both side columns are 100 pixel wide, the middle column takes the remaining space.


Hey there,welcome to our ChatBot Application!!
We are here to assist you in your purchase. Click on the link below to get started and experience our application.
We are here to assist you in your purchase. Click on the link below to get started and experience our application.


ListIndex()
Syntax
Index = ListIndex(List())Description
Find out the position of the current element in the list, considering that the first element is at the position 0. This function is very fast, and can be used a lot without performance issue (it doesn't iterate the list but uses a cached value).
Parameters
List() The name of your list variable, created with the NewList function. You must include the brackets after the list name.
Return value
A number containing the position of the current element within the list. The first element is at position 0, the next at 1 and so on. A value of -1 means there is no current element (either the list is empty or ResetList() has been used).
Example
NewList fruit.s() AddElement(fruit()) : fruit() = "oranges" AddElement(fruit()) : fruit() = "bananas" AddElement(fruit()) : fruit() = "apples" AddElement(fruit()) : fruit() = "pears" FirstElement(fruit()) MessageRequester("Fruit: "+fruit(), "Now at position "+Str(ListIndex(fruit())), #PB_MessageRequester_OK) NextElement(fruit()) MessageRequester("Fruit: "+fruit(), "Now at position "+Str(ListIndex(fruit())), #PB_MessageRequester_OK) NextElement(fruit()) MessageRequester("Fruit: "+fruit(), "Now at position "+Str(ListIndex(fruit())), #PB_MessageRequester_OK) NextElement(fruit()) MessageRequester("Fruit: "+fruit(), "Now at position "+Str(ListIndex(fruit())), #PB_MessageRequester_OK)
See Also
SelectElement(), ListSize()
Supported OS
All


You will be going through a series of questions to find out what language best suits the type of proggramming you would prefer
It uses utility classes for typography and spacing to space content out within the larger container.
Fill out the blanks and select from drop down menues below to find out:


| Interface | Description |
|---|---|
| ASN1ApplicationSpecificParser |
Interface to parse ASN.1 application specific objects.
|
| ASN1Choice |
Marker interface for CHOICE objects - if you implement this in a role your
own object any attempt to tag the object implicitly will convert the tag to
an explicit one as the encoding rules require.
|
| ASN1Encodable |
Basic interface to produce serialisers for ASN.1 encodings.
|
| ASN1Encoding |
Supported encoding formats.
|
| ASN1OctetStringParser |
A basic parser for an OCTET STRING object
|
| ASN1SequenceParser |
A basic parser for a SEQUENCE object
|
| ASN1SetParser |
A basic parser for a SET object
|
| ASN1String | |
| ASN1TaggedObjectParser | |
| BERTags | |
| DERTags | Deprecated
use BERTags
|
| InMemoryRepresentable |
Interface implemented by objects that can be converted from streaming to in-memory objects.
|
| Class | Description |
|---|---|
| ASN1Boolean |
Public facade of ASN.1 Boolean data.
|
| ASN1EncodableVector |
Mutable class for building ASN.1 constructed objects.
|
| ASN1Enumerated |
Class representing the ASN.1 ENUMERATED type.
|
| ASN1GeneralizedTime |
Base class representing the ASN.1 GeneralizedTime type.
|
| ASN1Generator | |
| ASN1InputStream |
a general purpose ASN.1 decoder - note: this class differs from the
others in that it returns null after it has read the last object in
the stream.
|
| ASN1Integer |
Class representing the ASN.1 INTEGER type.
|
| ASN1Null |
A NULL object - use DERNull.INSTANCE for populating structures.
|
| ASN1Object |
Base class for defining an ASN.1 object.
|
| ASN1ObjectIdentifier |
Class representing the ASN.1 OBJECT IDENTIFIER type.
|
| ASN1OctetString |
Abstract base for the ASN.1 OCTET STRING data type
|
| ASN1OutputStream |
Stream that produces output based on the default encoding for the passed in objects.
|
| ASN1Primitive |
Base class for ASN.1 primitive objects.
|
| ASN1Sequence |
ASN.1
SEQUENCE and SEQUENCE OF constructs. |
| ASN1Set |
ASN.1
SET and SET OF constructs. |
| ASN1StreamParser |
A parser for ASN.1 streams which also returns, where possible, parsers for the objects it encounters.
|
| ASN1TaggedObject |
ASN.1 TaggedObject - in ASN.1 notation this is any object preceded by
a [n] where n is some number - these are assumed to follow the construction
rules (as with sequences).
|
| ASN1UTCTime |
- * UTC time object.
|
| BERApplicationSpecific | |
| BERApplicationSpecificParser | |
| BERConstructedOctetString | Deprecated
use BEROctetString
|
| BERGenerator | |
| BEROctetString | |
| BEROctetStringGenerator | |
| BEROctetStringParser | |
| BEROutputStream | |
| BERSequence | |
| BERSequenceGenerator | |
| BERSequenceParser | |
| BERSet | |
| BERSetParser | |
| BERTaggedObject |
BER TaggedObject - in ASN.1 notation this is any object preceded by
a [n] where n is some number - these are assumed to follow the construction
rules (as with sequences).
|
| BERTaggedObjectParser | |
| DERApplicationSpecific |
Base class for an application specific object
|
| DERBitString | |
| DERBMPString |
DER BMPString object.
|
| DERBoolean | Deprecated
use ASN1Boolean
|
| DEREncodableVector |
a general class for building up a vector of DER encodable objects -
this will eventually be superceded by ASN1EncodableVector so you should
use that class in preference.
|
| DEREnumerated | Deprecated
Use ASN1Enumerated instead of this.
|
| DERExternal |
Class representing the DER-type External
|
| DERExternalParser | |
| DERGeneralizedTime |
DER Generalized time object.
|
| DERGeneralString | |
| DERGenerator | |
| DERIA5String |
DER IA5String object - this is an ascii string.
|
| DERInteger | Deprecated
Use ASN1Integer instead of this,
|
| DERNull |
A NULL object.
|
| DERNumericString |
DER NumericString object - this is an ascii string of characters {0,1,2,3,4,5,6,7,8,9, }.
|
| DERObjectIdentifier | Deprecated
Use ASN1ObjectIdentifier instead of this,
|
| DEROctetString | |
| DEROctetStringParser | |
| DEROutputStream |
Stream that outputs encoding based on distinguished encoding rules.
|
| DERPrintableString |
DER PrintableString object.
|
| DERSequence | |
| DERSequenceGenerator | |
| DERSequenceParser | |
| DERSet |
A DER encoded set object
|
| DERSetParser | |
| DERT61String |
DER T61String (also the teletex string), try not to use this if you don't need to.
|
| DERT61UTF8String |
DER T61String (also the teletex string) - a "modern" encapsulation that uses UTF-8.
|
| DERTaggedObject |
DER TaggedObject - in ASN.1 notation this is any object preceded by
a [n] where n is some number - these are assumed to follow the construction
rules (as with sequences).
|
| DERUniversalString |
DER UniversalString object.
|
| DERUTCTime |
DER UTC time object.
|
| DERUTF8String |
DER UTF8String object.
|
| DERVisibleString |
DER VisibleString object encoding ISO 646 (ASCII) character code points 32 to 126.
|
| DLOutputStream |
Stream that outputs encoding based on definite length.
|
| DLSequence |
The DLSequence encodes a SEQUENCE using definite length form.
|
| DLSet |
The DLSet encodes ASN.1 SET value without element ordering,
and always using definite length form.
|
| DLTaggedObject |
Definite Length TaggedObject - in ASN.1 notation this is any object preceded by
a [n] where n is some number - these are assumed to follow the construction
rules (as with sequences).
|
| OIDTokenizer |
class for breaking up an OID into it's component tokens, ala
java.util.StringTokenizer.
|
| Exception | Description |
|---|---|
| ASN1Exception | |
| ASN1ParsingException |


{% if obj %}
You cannot save the application because it contains some invalid fields. Please review the answers and admin fields and try again.


{% extends 'base.html' %} {% block content %}
No profile picture
{{ user.bio}}
{{ user.username|capitalize }} has no user bio


Castro is now installed. You can now restart Castro
If you ever want to resintall Castro just delete (or rename/move) `config.toml` file


WATCH: The purr-fect Christmas video you never knew you needed until now
by Shanee DobesonCute cats, dogs AND hot, sexy firemen… well our Christmas has just been made!
Just when you thought there couldn’t possibly be anything that could top the Australian Firefighters Calendar, they go ahead and team up some smokin’ hot heroic firemen with ridiculously adorable animals for a Christmas special and THANK YOU VERY MUCH.
We’ve managed to get our hands on two of the newly-released clips and to no surprise, they’re extra steamy with a side of incredibly sweet.
If you’re more of a cat person this one’s for you:
Phwoar… that’s one way to get the heart rate up!
Or if you prefer pooches, this one will be sure to put a smile on your dile:
“Merry Christmas and Happy Holidays from everyone at the Australian Firefighters Calendar,” director David Rogers says.
If you missed out on purchasing this year’s Australian Firefighters Calendar, you can get your paws on the hottest (and cutest) calendar EVER here.


All Users
Deliver this message to {{receiver.allUsers}}% of all eligible users on selected devices.
Targeting % of All Users
Specific Devices
{{item.value}} Please select your target devices
Single Devices
Deliver this message to single users. You must enter the unique Device Identifier for the target user.
Single User
This field is required.
User list
{{validateParam.userList}}


The data table below shows the details that IRIS REST API provides. The REST API /sql/list
provides the array created using the SQL: SELECT CountryId->Name as Country, DateReport, Vaccine, TotalVaccinations FROM diashenrique_data.Vaccinations
| Country | Date | Vaccine | Total Vaccinations | Total Population | % of Population |
|---|


About this website
Welcome to Frost Gaming, a website under development that strives to be a post and reply gaming forum. If you want to support our website, join our discord which is found below, there you can raise the amount of people who know about frost gaming so when we get 1.0 out there will be a friendly user base for everyone to msg, post, and enjoy on.
This Website is still under development and has a very small team so we ask you to be patient while we are starting up our website. Once we have 1.0 beta up we will be updating the website on a regular.
Also check out our dope discord.On this Discord we talk about some dope gaming stuff like some quality memes and I am always playing league on it all the time so come join it Check out Our discord!
If you have any questions please send us and email with the email in the footer, also if you want to learn about all the updates that happen check out the updates tab and see what has been added and future events. Thanks and enjoy our website.


Your browser does not support the canvas element.
Load Saved Model
↓ Click to select a
better
(and larger) model
Action
Status


Code Well-Formed JavaScript Objects The Easy Way
Okay so what's the skinny on coding well-formed JavaScript Objects anyway ? More importantly, who cares about coding whatever well-formed JS Objects might be anyway ?!? I mean there has got to me a zillion ways to make Objects in JavaScript - JavaScript wants to make just about everything into an object.
A nice fast way to make an Object would be something like "var obj = new Object();".
Just what is a Well-Formed Object anyway ?
| This is an example of a Well-Formed JavaScript Object | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Notice, if you will, the benefits of using this type of structured approach to programming.
Every single instance of every well-formed Object is maintained and accounted for in a manner that allows every single instance to be destructed upon command.
Every object has a constructor and a destructor just like almost every other quasi-Object-Oriented language.
Every Object is pretty easily readable and understandable.
When this type of approach is used it becomes very easy to perform a mass clean-up of all instances of all objects that were created while a page is active using the onUnload event. This means you can avoid the possibility of memory leaks from your JavaScript code in the form of Closures.
Closures are JavaScript constructs in which a global variable references an Object that contains a local variable that references a global variable. The most common way to make Closures without realizing it is in the form of event handlers. Event handlers typically reference global objects known as functions. Event handler functions tend to contain local variables that may reference global variables and before you can shizzam you have created a Closure. Closures remain allocated in RAM even after the page from which they were spawned has been removed from the browser. Closures remain in memory long after the browser has been closed.
When well-formed objects are used and destructed during the onUnload event there might be less of a chance of Closures being formed but it does not remove all possible Closures. If you think your JavaScript code is leaking memory then it is probably due to Closures being formed and then not being GC'd.
Closures can also happen in ColdFusion and when they happen they will remain in memory until the server is rebooted. Of course, when Scopes time-out they tend to help keep Closures to a minimum.
And now for yet another shameless plug
Geonosis™, an up and coming future product, uses all the tricks and techniques I have learned over the past 10+ yrs of my personal ColdFusion development experience as well as my past 30 years of software development expertise.
Development of The Rabid CF Developer's AJAX Framework is proceeding nicely. I am working out the final details on how-to bootstrap the system using the minimum amount of JavaScript code possible meanwhile maintaining 100% privacy for all JavaScript the system uses. I will try to publish the first sample application that is being created using Rabid_AJAX™ just as soon as it has been completed and time permits.
Stay tuned for more exciting Geonosis™ blog posts as development continues to march right along.
Geonosis™ Version 1.0 - You can download Geonosis™ here.


Before Change
num_datashards = len(device_list)
sharded_features = {}
for k, v in six.iteritems(features):
v = tf.convert_to_tensor(v)
if not v.shape.as_list():
v = tf.expand_dims(v, axis=-1)
v = tf.tile(v, [num_datashards])
with tf.device(v.device):
sharded_features[k] = tf.split(v, num_datashards, 0)
datashard_to_features = []
for d in range(num_datashards):
feat = {
After Change
batch_size = tf.shape(v)[0]
size_splits = []
for i in range(num_datashards):
size_splits.append(
tf.cond(tf.greater(tf.mod(batch_size, num_datashards), i),
lambda: batch_size // num_datashards + 1,
lambda: batch_size // num_datashards)
)
sharded_features[k] = tf.split(v, size_splits, 0)
datashard_to_features = []


Wild Africa Fortune Tours and Travel is a company that aims at giving you an awesome experience as we take a tour around Uganda.
Spend time with wild fortunes in uganda,Gorillas in Bwindi impenetrable National park. We are specialists in taking all of your dreams in East African countries,Uganda,Kenya,Rwanda and Tanzania.
Our aim is to give back to the local community projects through your great Experience on safari.
This company was founded to help the poor families in Kabale, Uganda. We use profits and provide seeds to the households to improve on their income as agriculture is back born of Uganda's Economy. The locals also stand up to organise very excellent enthusiastic for budget ,mid range and luxury Travellers with trips ranging from basic safaris and self drive.
Uganda is located in eastern Africa, west of Kenya, south of South Sudan, east of the Democratic Republic of the Congo, and north of Rwanda and Tanzania. It is in the heart of the Great Lakes region, and is surrounded by three of them, Lake Edward, Lake Albert, and Lake Victoria. While much of its border is lakeshore, Uganda is landlocked with no access to the sea.
Do you need to visit Gorillas in Uganda ,Rwanda?
Gorilla permits are available in Uganda at $600 per permit ,Rwanda $1500 each permit. Bwindi Impenetrable national Park located in Uganda has many Gorilla sectors from which the client would wish to choose to go to track from. (Ruhija,Buhoma ,Nkurungi,Mughinga,and Rushaga)and each is comprised of amazing Families that you will enjoy so much. Come meet the Local people, see the different cultures,Tribes and African Nature.
Most popular safari in Uganda and Rwanda:
Take a look at our trip packages.
<EMAIL_ADDRESS>+256 772 896 589/+256 700 113 920


LHC to hear Maryam Nawaz's petition for removal of name from ECL today
December 09: Pakistan and Qatar formalize a preferential trade agreement (PTA) and Free trade agreement (FTA) to improve bilateral trade and ties between two nations.
December 09: Pakistan and Qatar formalize a preferential trade agreement (PTA) and Free trade agreement (FTA) to improve bilateral trade and ties between two nations.


The purpose of the MVVM Light Toolkit is to accelerate the creation and development of MVVM applications in WPF, Silverlight, Windows Store (RT), and for Windows Phone.


Class LexicalRule
Represents a lexical rule. This class is abstract.
Inheritance
Namespace: Lapis.Script.Parser.Lexical
Assembly: Lapis.Script.Parser.dll
Syntax
public abstract class LexicalRule : Object
Properties
AnyChar
Gets the lexical rule that matches any character except '\0'
.
Declaration
public static LexicalRule AnyChar { get; }
Property Value
| Type | Description |
|---|---|
| LexicalRule | The lexical rule that matches any character except |
Empty
Gets the lexical rule that is a placeholder for an empty string.
Declaration
public static LexicalRule Empty { get; }
Property Value
| Type | Description |
|---|---|
| LexicalRule | The lexical rule that is a placeholder for an empty string. |
Methods
Char(Char)
Creates a lexical rule that matches the specified character.
Declaration
public static LexicalRule Char(char c)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Char | c | The specified character. |
Returns
| Type | Description |
|---|---|
| LexicalRule | The created lexical rule that matches |
Exceptions
| Type | Condition |
|---|---|
| System.ArgumentOutOfRangeException |
|
Chars(String)
Creates a lexical rule that matches the specified set of characters.
Declaration
public static LexicalRule Chars(string s)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | s | The specified set of characters. |
Returns
| Type | Description |
|---|---|
| LexicalRule | The created lexical rule that matches |
Exceptions
| Type | Condition |
|---|---|
| System.ArgumentException |
|
CharWhen(Predicate<Char>)
Creates a lexical rule that matches characters that meets the specified criteria.
Declaration
public static LexicalRule CharWhen(Predicate<char> predicate)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Predicate<System.Char> | predicate | The specified criteria that the character should meet. |
Returns
| Type | Description |
|---|---|
| LexicalRule | The created lexical rule that matches characters that meets |
Exceptions
| Type | Condition |
|---|---|
| System.ArgumentNullException |
|
Concat(LexicalRule)
Creates the concatenation of the current lexical rule and another.
Declaration
public LexicalRule Concat(LexicalRule rule)
Parameters
| Type | Name | Description |
|---|---|---|
| LexicalRule | rule | The other lexical rule. |
Returns
| Type | Description |
|---|---|
| LexicalRule | The concatenation of the current lexical rule and the other. |
Exceptions
| Type | Condition |
|---|---|
| System.ArgumentNullException |
|
Literal(String)
Creates a lexical rule that matches the specified string literally.
Declaration
public static LexicalRule Literal(string s)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | s | The specified string. |
Returns
| Type | Description |
|---|---|
| LexicalRule | The created lexical rule that matches |
Exceptions
| Type | Condition |
|---|---|
| System.ArgumentException |
|
Match(BranchedReader)
Returns a value indicating whether the next character matches the lexical rule.
Declaration
public abstract bool Match(BranchedReader reader)
Parameters
| Type | Name | Description |
|---|---|---|
| BranchedReader | reader | The BranchedReader that provides the input character. |
Returns
| Type | Description |
|---|---|
| System.Boolean | true if the next character matches the lexical rule; otherwise false. |
Exceptions
| Type | Condition |
|---|---|
| System.ArgumentNullException |
|
NotChar(Char)
Creates a lexical rule that matches characters except the specified character.
Declaration
public static LexicalRule NotChar(char c)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Char | c | The specified character. |
Returns
| Type | Description |
|---|---|
| LexicalRule | The created lexical rule that matches characters except |
Exceptions
| Type | Condition |
|---|---|
| System.ArgumentOutOfRangeException |
|
NotChars(String)
Creates a lexical rule that matches characters not in the specified set of characters.
Declaration
public static LexicalRule NotChars(string s)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | s | The specified set of characters. |
Returns
| Type | Description |
|---|---|
| LexicalRule | The created lexical rule that matches characters not in |
Exceptions
| Type | Condition |
|---|---|
| System.ArgumentException |
|
NotRange(Char, Char)
Creates a lexical rule that matches characters not in the specified range.
Declaration
public static LexicalRule NotRange(char from, char to)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Char | from | The first character of the specified range. |
| System.Char | to | The last character of the specified range.. |
Returns
| Type | Description |
|---|---|
| LexicalRule | The created lexical rule that matches characters not in the specified range. |
Exceptions
| Type | Condition |
|---|---|
| System.ArgumentException | The parameter is |
Optional()
Creates the same lexical rule as the current lexical rule but it is optional.
Declaration
public LexicalRule Optional()
Returns
| Type | Description |
|---|---|
| LexicalRule | The same lexical rule as the current lexical rule but it is optional. |
Or(LexicalRule)
Creates the union of the current lexical rule and another.
Declaration
public LexicalRule Or(LexicalRule rule)
Parameters
| Type | Name | Description |
|---|---|---|
| LexicalRule | rule | The other lexical rule. |
Returns
| Type | Description |
|---|---|
| LexicalRule | The union of the current lexical rule and the other. |
Exceptions
| Type | Condition |
|---|---|
| System.ArgumentNullException |
|
Range(Char, Char)
Creates a lexical rule that matches the specified range of characters.
Declaration
public static LexicalRule Range(char from, char to)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Char | from | The first character of the specified range. |
| System.Char | to | The last character of the specified range.. |
Returns
| Type | Description |
|---|---|
| LexicalRule | The created lexical rule that matches characters in the specified range. |
Exceptions
| Type | Condition |
|---|---|
| System.ArgumentException | The parameter is |
Repeat()
Creates the repetition of the current lexical rule with no limits of repetition times.
Declaration
public LexicalRule Repeat()
Returns
| Type | Description |
|---|---|
| LexicalRule | The repetition of the current lexical rule with no limits of repetition times. |
Repeat(Int32, Int32)
Creates the repetition of the current lexical rule with the specified lower and upper limits of repetition times.
Declaration
public LexicalRule Repeat(int min, int max)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Int32 | min | The minimum times of the repetition. |
| System.Int32 | max | The maximum times of the repetition. |
Returns
| Type | Description |
|---|---|
| LexicalRule | The repetition of the current lexical rule with repetition times of the minimum |
Exceptions
| Type | Condition |
|---|---|
| System.ArgumentException | The parameter is negative, or |
Operators
Addition(LexicalRule, LexicalRule)
Creates the concatenation of two lexical rules.
Declaration
public static LexicalRule operator +(LexicalRule left, LexicalRule right)
Parameters
| Type | Name | Description |
|---|---|---|
| LexicalRule | left | The first lexical rule. |
| LexicalRule | right | The second lexical rule. |
Returns
| Type | Description |
|---|---|
| LexicalRule | The concatenation of the two lexical rules. |
Exceptions
| Type | Condition |
|---|---|
| System.ArgumentNullException | The parameter is null. |
BitwiseOr(LexicalRule, LexicalRule)
Creates the union of two lexical rules.
Declaration
public static LexicalRule operator |(LexicalRule left, LexicalRule right)
Parameters
| Type | Name | Description |
|---|---|---|
| LexicalRule | left | The first lexical rule. |
| LexicalRule | right | The second lexical rule. |
Returns
| Type | Description |
|---|---|
| LexicalRule | The union of the two lexical rules. |
Exceptions
| Type | Condition |
|---|---|
| System.ArgumentNullException | The parameter is null. |


{% extends "base.html" %} {% load static%} {% block content %}
In this section you can see all the existing categories on this page
New Category Delete Category
{{category.description|safe}} Read More...


Press F12 on your keyboard to view the result in the console view.
Time the number of milliseconds it takes to perform a for-loop a hundred thousand times.
This example deomnstrates how to use the label parameter
Make sure you use the same label when calling the console.timeEnd() method.


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Class: Layout
| Defined in: | src/mozart/layout.coffee |
| Inherits: | Router |
Constant Summary
Constants inherited from MztObject
Instance Method Summary
- - (void) init() Bound Initiaise the Layout, checking and registering all states (routes)
- - (void) createView(viewClass, options = {}) Bound Create a view in this layout, registering clickInside and clickOutside if defined on the view
- - (void) bindRoot() Bound Bind the DOM element selected by rootElement to be the target for this Layout.
- - (void) resetRoute() Bound Reset the current route to no route and relase all views.
- - (void) doRoute(state, params) Bound Attempt to transition to the specified state (route), using route arguments
- - (void) _transition(state) Bound Perform the transition to the specified state (route), creating the route view and queueing the previous view (if any) for release.
- - (void) queueRenderView(view) Bound Queue the specified view instance to be rendered.
- - (void) processRenderQueue() Bound Process the render queue, preparing content, assigning elements, swapping elements, and calling postRender on each view.
- - (void) release() Bound Release this layout, releasing all created views
- - (void) queueReleaseView(view) Bound Queue a view for release.
- - (void) releaseView(view) Bound
- - (void) releaseViews() Bound Release all views in this layout
- - (void) addControl(id, control) Bound Add a control with the specified id and control
- - (Mozart.Control) getControl(id) Bound Get the control with the specified id
- - (void) removeControl(id) Bound Remove the control with the specified id
- - (void) releaseViewControls(view) Bound Remove all controls for a specified view
Inherited Method Summary
Methods inherited from Router
#init, #start, #stop, #register, #onHashChange, #onNavigationEvent, #onPopState, #navigateRoute, #release
Methods inherited from MztObject
.include, .extend, .create, #constructor, #toString, #get, #set, #subscribe, #subscribeOnce, #publish, #unsubscribe, #release
Instance Method Details
- (void) init() (bound)
Initiaise the Layout, checking and registering all states (routes)
- (void) createView(viewClass, options = {}) (bound)
Create a view in this layout, registering clickInside and clickOutside if defined on the view
- (void) bindRoot() (bound)
Bind the DOM element selected by rootElement to be the target for this Layout.
- (void) resetRoute() (bound)
Reset the current route to no route and relase all views.
- (void) doRoute(state, params) (bound)
Attempt to transition to the specified state (route), using route arguments
- (void) _transition(state) (bound)
Perform the transition to the specified state (route), creating the route view and queueing the previous view (if any) for release.
- (void) queueRenderView(view) (bound)
Queue the specified view instance to be rendered. @view [Mozart.View] state The view to render
- (void) processRenderQueue() (bound)
Process the render queue, preparing content, assigning elements, swapping elements, and calling postRender on each view.
For more information, see http://www.mozart.io/guides/understanding_rendering
- (void) release() (bound)
Release this layout, releasing all created views
- (void) queueReleaseView(view) (bound)
Queue a view for release.
- (void) releaseView(view) (bound)
- (void) releaseViews() (bound)
Release all views in this layout
- (void) addControl(id, control) (bound)
Add a control with the specified id and control
- (Mozart.Control) getControl(id) (bound)
Get the control with the specified id
- (void) removeControl(id) (bound)
Remove the control with the specified id
- (void) releaseViewControls(view) (bound)
Remove all controls for a specified view


Introduction to Flink Streaming - Part 3 : Running Streaming Applications in Flink Local Mode
In the last two blogs of our series, we discussed about how to use flink streaming API’s to do word count. In those blogs we ran our examples from IDE. IDE is a good way to start learning any API. But if we want to understand how code executes in distributed setting it will be good to run it outside of IDE.
In this third blog, I will be discussing about how to run flink streaming examples in local mode, which is a good starting point to understand distributed nature of flink. Access other blog in the series here.
Modes of execution in Flink
As with any modern big data frameworks, flink allows user to run the code on different cluster management systems. No change in code is required to run on these different systems. This makes it very easy to change the cluster management system depending on the use case.
The different modes of execution supported in flink are
-
###Local Mode Local mode is a pseudo distributed mode which runs all the daemons in the single jvm. It uses AKKA framework for parallel processing which underneath uses multiple threads.
-
Standalone Cluster Mode
In this setup, different daemons runs on different jvms on a single machine or multiple machines. This mode often used when we want to run only Flink in our infrastructure.
-
YARN
This mode makes flink run on YARN cluster management. This mode often used when we want to run flink on our existing hadoop clusters.
Though standalone/yarn is suitable for production, local mode is often good start point to understand the distributed model of flink streaming. So in this blog we will be setting up flink in local mode and run our word count example.
Setting up local mode
The following are the steps for setting up flink in local mode.
-
Step 1 : Download Flink 1.0 distribution
You can download binary distribution of flink here. As of now latest version is 1.0. As our examples are compiled against scala 2.10, choose one with that scala version. I chose hadoop 2.6 version for my examples. You can choose the one which matches your hadoop version if you have already any hadoop setup on your machine. If you don’t have any set up choose 2.6.
-
Step 2 : Extract downloaded file
-
Step 3 : Start Flink in local mode
The below command starts the flink in localmode.
Once it started successfully, you can access web UI at http://localhost:8081.
Packaging code
Once we have the local flink running, we need to package our code as the jar in order to run. Use the below sbt command to create jar.
Once the build is successful, you will get flink-examples_2.10-1.0.jar under directory target/scala-2.10.
Running wordcount in local mode
Once we have packaged jar, now we can run it outside IDE. Run the below command from flink directory. Replace the path to jar with absolute path to the jar generated in last step.
The above command uses flink command to run the example. flink is a command used for interact with jobs. The run sub command is used for submit jobs. -c option indicates the jar to be added to classpath. Next two parameters are main class and the jar path.
Once you run the above command, wordcount start running in the local mode. You can see this running job here. As you enter the lines in socket you can observe output here.
Now we have successfully ran our example outside IDE in flink local mode.
Compared to Spark
This section is only applicable to you, if you have done spark streaming before. If you are not familiar with Apache Spark feel free to skip it.
The local mode of flink, is similar to spark local mode. flink command is similar to spark-submit. One of the difference is, in spark you don’t need to start web ui daemon as spark itself starts it when you create spark context.
References
Flink Local Setup - https://ci.apache.org/projects/flink/flink-docs-master/setup/local_setup.html.


ilux
Progress Bars
Progress Bars
Stacked
Progress Bars with Labels
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90%
Stacked with Labels
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Dr. Bemley founded the Joint Education Facilities (JEF) Program, a non- profit 501(c)(3) organization in 1982, with minimum equipment in a room in the basement of his home in Washington DC. Using his Computer Science expertise he conducted the program every Saturday, always with little funding. From those humble beginnings, he has built a program with a strong reputation for excellence in mentoring over 700 young people throughout the DC area. He has accomplished much with the JEF program. He has combined his many leadership skills with the courage and willingness to accept challenges and hurdles associated with mentoring inner-city youth. Not only has he been able to introduce these students to the acquisition of computer skills, knowledge, and leading- edge technology, but he has also been successful in expanding their horizons as well. This expansion has frequently included learning to write a technical article, or taking that very first plane ride. It has often been the student's first opportunity to speak before the public, or the first time to receive an achievement award at a banquet with all the parents and friends looking on.
Dr. Bemley takes pride in preparing his students for making presentations within the local community as well as at conferences and professional meetings. The young men and women are encouraged to participate in student-initiated projects for which they learn to undertake research and complete it in a timely fashion. As a project is in progress, the next step is learning to present it before an audience. JEF prepares its students to enter computer competitions such as: NAACP Afro-Academic, cultural, Technological and Scientific Olympics (ACT-SO); Computer Learning Foundation Contest; the Goucher College Programming Competition for High School Students ; Computer Learning Foundation Contest; BDPA National High School Computer Competition (HSCC) and Information Technology (IT) Showcase; National Technical Association (NTA) Science Competition for High School Students; the Association of Computer/Information Sciences and Engineering Departments at Minority Institutions (ADMI); TeraGrid Programming Competition and Supercomputer Conference Education Committee Student Programming Competition.
For many of the students, Dr. Bemley represents a surrogate father. He can convince any child over time to accept challenges and strive to do well. All of the young people grow as a result of being trained and coached by him for competition and participation in conferences, nationally and internationally. He has been able to implement peer counseling and teaching techniques that have improved the leadership and team-building skills of his students. Parents and instructors constantly notice considerable growth in self-esteem. Even when it requires great sacrifice, he always rewards his students with an annual banquet and a carefully selected keynote speaker, who can serve as a role model to the assembled students and their parents, relatives, and friends. This rewarding of progress, achievements, and skill acquisitions works well in developing good citizenship.
This course is designed for kids in grades 4-6. Students are introduced to computers (hardware and software), and the language C to learn algorithms and to apply them in the development of simple programs in the areas of geometry, basic electricity and Newtonian physics. Emphasis is placed on developing note taking skills, listening skills and computational thinking skills. Students learn group dynamics, develop a WEB page and prepare a short paper and an oral presentation of their work. Central to this level is developing the skills above in preparation for the research involved at the next level which requires rigorous writing and analytical skills.
This course is aimed at students in grades 7-12 who have varying knowledge of computers. Topics covered include: types of computers, definition of a computer, components of computers, introduction to various operating systems, ie., Microsoft WINDOWS operating systems (XP, Vista and 7), and LINUX; introduction to Internet tools, i.e., perl, Java, VRML, etc., HPC concepts (Cluster and Grid computing) and an introduction to various math (continuous and discrete) and science problems that can be solved using the PC and high performance computing (HPC) platforms.
Students do research projects in information systems, computer science, computational science, and computer experiments in mathematics. Research tools include the Internet, JEF library, National Science Digital Library, HPC facilities at Clemson University and Pittsburgh Supercomputer Center, and university and public libraries. These projects will be entered in the NAACP ACT- SO Competition, the NTA Conference, BDPA IT Showcase, JEF International Student Symposium, Richard Tapia Conference, TeraGrid Conference, Super Computer Conference and various other conferences, competitions and science fairs to include 4H. The project results will be presented in an academic paper format, Powerpoint presentation format and a poster display format.
Students are introduced to the Raspberry Pi a computer that is roughly the size of a credit card. Its circuit board and chips are fully visible. You can plug a Raspberry Pi into a digital TV or monitor, attach a USB keyboard and mouse, making it very easy to use and because of its size you can easily carry it anywhere.
Students at JEF
The Joint Educational Facilities Inc. (JEF) students were introduced to cutting edge technology that has catapulted them ahead of their peers and contemporaries. Each student was required to do research, prepare a paper and do a presentation. These activities were truly at the undergraduate and graduate level. Mind you these students are high school Juniors and Seniors who would have preferred to spend their summer “hanging out”. These students rose to the occasion. Even though they had a busy schedule with JEF, preparing papers and presentations for several conferences and attending other workshops, they proved that they can perform at the collegiate level.
I was impressed how the students worked ever so diligently to overcome the obstacles that they faced while working on this project. Most of the information that was taught to the students in the Cluster Workshop at the National Center for Supercomputer Applications (NCSA) was new to them. They took the initiative to learn the different applications on their own. They were very inquisitive asking thought provoking questions to Mr. Michael White, who teaches Linux/Unix at the United States Department of Agriculture Graduate School, and is considered an expert on Linux/Unix and Dr. Jesse Bemley, Director and founder of the JEF program. A couple of the students had the opportunity to travel to Daytona Beach, Florida to visit Bethune- Cookman College, and to interview Mr. Alson Been on his progress with the cluster project and then to Orlando, Florida to meet Mr. Amado Gonzalez to get information on his project at Florida International University. Both of these professors taught a segment at the NCSA workshop on cluster computing.
This was an outstanding opportunity for the students for they are part of technology history!!! The training they received while doing this project will shape their future. These students will eventually see the fruition of their labor and can actually say they were a part of this great project. They have proven to themselves and the world that high school students can do research and should be given the opportunity to continue to research projects of this nature. The students will be a great asset to any college or university and will definitely contribute to the scientific community.
This program uses GIS technology to solve problem in social science.
Students will learn about:


HAL-DISABLE-POLLING(1) HAL-DISABLE-POLLING(1) NAME hal-disable-polling - disable polling on drives with removable media SYNOPSIS hal-disable-polling [options] DESCRIPTION hal-disable-polling can be used to to disable and enable media detection on drives with removable storage. For more information about both the big picture and specific HAL properties, refer to the HAL spec which can be found in /usr/share/doc/hal-doc/spec/hal-spec.html depending on the dis‐ tribution. OPTIONS The following options are supported: --udi The UDI (Unique Device Identifier) of the device object. --device The device file of the drive. --enable-polling Enable polling instead of disabling it. --help Print out usage. --version Print the version. NOTES This program requires super user privileges. RETURN VALUE If the requested operation was successful, this program will exit with exit code 0. HISTORY Polling a storage drive is a necessary evil to detect when the user inserts or removes media. Human computer interaction studies have shown that a broad class of users expect their system to react within a few seconds of this. Thus, the hald daemon polls through the hald-addon-stor‐ age addon (one instance for each drive with removable media). The purpose of the hald-addon-storage addon is simply to open the special device file at a regular interval (either every 2 or every 16 seconds) to check for new media. This program tries to open the device file using the O_EXCL option which means that programs like cdrecord(1) that uses O_EXCL automatically prevents the hald-addon-storage for interferring by conti‐ nously opening the device file. In addition, if the drive is locked using HAL (see hal-lock(1)) the addon also stops polling. Unfortunately, polling a storage drive can have adverse side effects if the hardware and/or device driver for the hardware is malfunctioning. Additionally, the operating system kernel itself may offer multiple interfaces for the same device (e.g. /dev/sg0 and /dev/scd0) so even O_EXCL won't work. Also, polling a drive may decrease throughput in cer‐ tain (odd and/or broken) configurations; for example, if two IDE drives shares the same host (master/slave), bus traffic and contention caused by polling e.g. the optical drive (slave) can reduce throughput to the hard disk (master) and/or interfere with CD burning on another optical drive (master). Finally, polling a drive incurs an overhead both in the host system (processes get woken up often, preventing the CPU to stay in a deep power saving states) and it may prevent the actual drive from reach‐ ing deep power states as well. As a result, more power is consumed and this affects battery life for laptops. Despite the existence of support for asynchronous media change notifica‐ tion in recent MMC (Multi-Media Commands) specifications, virtually no optical drives are compliant with the specification. Fortunately newer SATA ATAPI hardware seems to support Asynchronous Notification (AN) and at this time of writing (March 2007) work is underway to make both the Linux operating system kernel and HAL take advantage of this. It is the position of the HAL team that polling should be avoided at all costs as long as it doesn't heavily impact the user experience in a nega‐ tive way. This tool is provided as a stop-gap measure to use if a system is rendered useless due to bugs in drivers and/or hardware that is pro‐ voked by HAL polling the drive. If such a bug is encountered it should be reported (see the BUGS section below) so it can be fixed - historically hald have triggered a number of bugs in Linux storage drivers and related subsystems (such as USB) that have later been fixed. BUGS Please send bug reports to either the distribution or the HAL mailing list, see http://lists.freedesktop.org/mailman/listinfo/hal on how to subscribe. SEE ALSO hald(8), lshal(1), hal-lock(1), open(2), http://www.t10.org/scsi-3.htm, https://bugzilla.redhat.com/bugzilla/show_bug.cgi?id=halpolling AUTHOR Written by David Zeuthen<EMAIL_ADDRESS>with a lot of help from many others. HAL-DISABLE-POLLING(1)


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interface TextMetric
Defines the interface, a metric, which allows to calculate heuristic values, which specify the similarity or dissimilarity of texts, must implement.
Author
Michael Rapp
Since
1.0.0
class Comparator : Comparator<Double>
A comparator that allows to compare heuristic values according to a specific TextMetric. The comparator implicitly takes into account whether the metric is a gain metric or a loss metric. |
abstract val isGainMetric: Boolean
True, if the metric is a gain metric, i.e. that two strings that evaluate to a greater heuristic value are considered to be more similar than two strings that evaluate to a smaller heuristic value, false otherwise. |
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open val isLossMetric: Boolean
True, if the metric is a loss metric, i.e. that two strings that evaluate to a smaller heuristic value are considered to be more similar than two strings that evaluate to a greater heuristic value, false otherwise. |
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abstract val maxValue: Double
The maximum heuristic value, which is possibly calculated by the metric. |
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abstract val minValue: Double
The minimum heuristic value, which is possibly calculated by the metric. |
abstract fun evaluate(text1: CharSequence, text2: CharSequence): Double
Calculates the heuristic value of two texts, text1 and text2, according to the metric. |
fun caseInsensitive(metric: TextMetric): TextMetric
Creates and returns a case-insensitive metric from an existing metric. |
class DamerauLevenshteinDissimilarity : TextMetric
Damerau-Levenshtein dissimilarity is the loss metric pendant to the DamerauLevenshteinDistance. It measures the percentage of single-character edits (insertions, deletions, or substitutions) and transpositions of adjacent characters that are necessary to change one text into another, among the number of characters of the longer of both texts. Damerau-Levenshtein dissimilarity always evaluates to heuristic values within the interval 0,1. Texts that evaluate to greater heuristic values are considered to be less similar than texts that evaluate to smaller heuristic values. |
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class DamerauLevenshteinDistance : TextMetric
Allows to calculate the distance between texts according to the Damerau-Levenshtein distance (also referred to as "unrestricted edit distance"). The Damerau-Levenshtein distance measures the number of single-character edits (insertions, deletions, substitutions) and transposition of adjacent characters that are needed to make the texts equal to each other. Unlike the optimal string alignment distance, the Damerau-Levensthein distance does not have any restrictions and does meet the properties of the triangle inequality. |
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class DamerauLevenshteinSimilarity : TextMetric
Damerau-Levenshtein similarity is the gain metric pendant to the [ ]. It measures the percentage of single-character edits (insertions, deletions, or substitutions) and transpositions of adjacent characters that are necessary to change one text into another, among the number of characters of the longer of both texts. Damerau-Levenshtein similarity always evaluates to heuristic values within the interval 0,1. Texts that evaluate to greater heuristic values are considered to be more similar than texts that evaluate to smaller heuristic values. |
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class DiceCoefficient : TextMetric
Allows to measure the similarity of texts according to the Dice coefficient. The dice coefficient measures the percentage of n-grams, which occur in both texts. It always evaluates to a heuristic value within the interval 0,1. Texts that reach a greater heuristic value are considered to be more similar than texts that reach a smaller heuristic value. The dice coefficient can also be applied to texts with different lengths. |
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class HammingAccuracy : TextMetric
Hamming accuracy is the gain metric pendant to the HammingDistance. It measures the percentage of characters at corresponding positions that are equal. Hamming accuracy always evaluates to heuristic values within the interval 0,1. Texts that evaluate to greater heuristic values are considered to be more similar than texts that evaluate to smaller heuristic values. |
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class HammingDistance : TextMetric
Allows to calculate the distance of texts according to the Hamming distance. The Hamming distance is defined as the number of characters at corresponding positions that are not equal. It can only be used for texts with the same length. |
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class HammingLoss : TextMetric
Hamming loss is the loss metric pendant to the HammingDistance. It measures the percentage of characters at corresponding positions that are not equal. Hamming loss always evaluates to heuristic values in the interval 0,1. Texts that evaluate to a greater heuristic value are considered to be more dissimilar than texts that evaluate to smaller values. |
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class LevenshteinDissimilarity : TextMetric
Levenshtein dissimilarity is the loss metric pendant to the LevenshteinDistance. It measures the percentage of single-character edits (insertions, deletions, or substitutions) that are necessary to change one text into another, among the number of characters of the longer of both texts. Levenshtein dissimilarity always evaluates to heuristic values within the interval 0,1. Texts that evaluate to greater heuristic values are considered to be less similar than texts that evaluate to smaller heuristic values. |
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class LevenshteinDistance : TextMetric
Allows to calculate the distance of texts according to the Levenshtein distance. The Levenshtein distance measures the number of single-character edits (insertions, deletions or substitutions) that are necessary to change one text into another. It can also be used for texts with different lengths. |
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class LevenshteinSimilarity : TextMetric
Levenshtein similarity is the gain metric pendant to the LevenshteinDistance. It measures the percentage of single-character edits (insertions, deletions, or substitutions) that are necessary to change one text into another, among the number of characters of the longer of both texts. Levenshtein similarity always evaluates to heuristic values within the interval 0,1. Texts that evaluate to greater heuristic values are considered to be more similar than texts that evaluate to smaller heuristic values. |
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class OptimalStringAlignmentDissimilarity : TextMetric
Optimal string alignment dissimilarity (abbreviated as OSA dissimilarity) is the loss metric pendant to the OptimalStringAlignmentDistance. It measures the percentage of single-character edits (insertions, deletions, or substitutions) and transpositions of adjacent characters that are necessary to change one text into another, among the number of characters of the longer of both texts. OSA dissimilarity always evaluates to heuristic values within the interval 0,1. Texts that evaluate to greater heuristic values are considered to be less similar than texts that evaluate to smaller heuristic values. |
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class OptimalStringAlignmentDistance : TextMetric
Allows to calculate the distance between texts according to the optimal string alignment distance (abbreviated as OSA distance, also referred to as "restricted edit distance" or "restricted Damerau-Levenshtein distance"). The OSA distance measures the number of single-character edits (insertions, deletions, substitutions) and transpositions of two adjacent characters that are needed to make the texts equal to each other. Unlike the Damerau-Levensthein distance, the OSA distance does not allow substrings to be edited more than once. Furthermore, it does not meet the properties of the triangle inequality. |
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class OptimalStringAlignmentSimilarity : TextMetric
Optimal string alignment similarity (abbreviated as OSA similarity) is the gain metric pendant to the OptimalStringAlignmentDistance. It measures the percentage of single-character edits (insertions, deletions, or substitutions) and transpositions of adjacent characters that are necessary to change one text into another, among the number of characters of the longer of both texts. OSA similarity always evaluates to heuristic values within the interval 0,1. Texts that evaluate to greater heuristic values are considered to be more similar than texts that evaluate to smaller heuristic values. |


Hello my name is Matt. Being creative and solving new challenges are what I enjoy the most in design. Whether its drawing, working in CAD, or talking to users, I enjoy exploring new ways to be creative and love a good challenge.
I am currently working as an Industrial Designer for Winnebago Industries. I graduated from the Milwaukee Institute of Art and Design, with a Bachelors of Fine Art in Industrial Design. I am obsessed with trends in technology In my free time I like to 3D print prototypes, wood work, and build computers. Recently, I have been trying to learn Adobe After Effects, and developing mobile user interfaces using Adobe XD.
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