Provides an R interface to functions of the 'SAMtools' C-Library by Heng Li <http://www.htslib.org/>.
| Version: | 2.16.11 |
| Depends: | methods, refGenome (≥ 1.6.1) |
| Suggests: | xtable |
| Published: | 2018-05-07 |
| Author: | Wolfgang Kaisers [aut, cre], Heng Li [ctb, cph], Jue Ruan [ctb, cph] |
| Maintainer: | Wolfgang Kaisers <wolfgang.kaisers at gmail.com> |
| License: | Artistic-2.0 |
| Copyright: | file inst/COPYRIGHTS rbamtools copyright details |
| NeedsCompilation: | yes |
| Materials: | NEWS ChangeLog |
| CRAN checks: | rbamtools results |
| Reference manual: | rbamtools.pdf |
| Vignettes: |
rbamtools |
| Package source: | rbamtools_2.16.11.tar.gz |
| Windows binaries: | r-devel: rbamtools_2.16.11.zip, r-release: rbamtools_2.16.11.zip, r-oldrel: rbamtools_2.16.11.zip |
| OS X binaries: | r-release: rbamtools_2.16.11.tgz, r-oldrel: rbamtools_2.16.11.tgz |
| Old sources: | rbamtools archive |
Please use the canonical form https://CRAN.R-project.org/package=rbamtools to link to this page.


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imagecreatefromstring
(PHP 4 >= 4.0.4, PHP 5, PHP 7)
imagecreatefromstring — 从字符串中的图像流新建一图像
说明
resource imagecreatefromstring ( string $image )
imagecreatefromstring() 返回一个图像标识符，其表达了从给定字符串得来的图像。图
像格式将自动检测，只要 PHP 支持：JPEG，PNG，GIF，WBMP 和 GD2。
参数
image
A string containing the image data.
返回值
An image resource will be returned on success. FALSE is returned if the image
type is unsupported, the data is not in a recognised format, or the image is
corrupt and cannot be loaded.
范例
Example #1 imagecreatefromstring() example
以上例程的输出类似于：
Output of example : imagecreatefromstring()
参见
• imagecreatefromjpeg() - 由文件或 URL 创建一个新图象。
• imagecreatefrompng() - 由文件或 URL 创建一个新图象。
• imagecreatefromgif() - 由文件或 URL 创建一个新图象。
• imagecreatetruecolor() - 新建一个真彩色图像
User Contributed Notes 15 notes
===============================================================================
My site allows anonymous uploads to a web-accessible location (that will
execute a script if it finds one).
Naturally, I need to verify that only harmless content is accepted. I am
expecting only images, so I use:
===============================================================================
While downloading images from internet, it's easiest to let php decide what is
the file type. So, forget using imagecreatefromjpg, imagecreatefromgif and
imagecreatefrompng. Instead, this is the way to go:
===============================================================================
In case it's not obvious from the lack of "imagecreatefrombmp()" in GD, this
function cannot handle plain old BMP files either.
===============================================================================
A note to the previous question (if you still don't know it :))...
GIF's are 256 colors (or 8 bit), and the resample function needs true color I
guess... that's why it works with JPG's and not with GIF's.
Next thing... you take a string, write it to file, open the file
(imagecreatefromgif), and delete the file again.
if you do imagecreatefromstring($string) you can skip the temporary file part.
===============================================================================
The only way I managed to resolve the loading of image files from file data
either on local site or from off-site protocols is as follows. I hope this
saves someone else the two hours of debugging and looking for good examples.
[PHP]
[/PHP]
===============================================================================
I use dynamically generated images that require a little touch-up before being
displayed. So essentially I do some base work, then store the images in a
memory cache (APC), reload the images again from the cache later on "into" GD,
do final processing and then display the image.
Since I wanted to avoid a lot of disc access I used the output buffering
functions:
Of course this is a condensed example but I just wanted to share the idea.
===============================================================================
I know a lot of people have been having trouble using images from the Sprint
PPC6700 with GD. The jpeg library always thows an error about 16 bytes of
extraneous data. I decided to poke around in a hex editor and found those
extraneous bytes occur right at the end of the exif data.
By removing this extraneous data, images can easily be manipulated by GD and
the EXIF extension as a normal images. This also removes any problems using
the images with GIMP which must rely on the same jpeg libraries.
Here is a function that will check to see if an image is from the PPC6700 and
then remove the extraneous data for you. The result can successully be used
with imagecreatefromstring
Author: Paul Visco
IM: paulsidekick
Created: 2-12-06
function checkFixPPC6700($orig){
//get the file contents
$data = file_get_contents($orig);
//if its a PPC 6700 image cut out the extraneous 16 bits
if(strstr($data, "\x41\x70\x61\x63\x68\x65\x00\x48")){
//this next line can all be one string I split it up so the form on php.net
would accept it
$bad_data ="\x00\x10\x4A\x46" . "\x49\x46\x00\x01\x01" . "\x00\x00\x01\
x00\x01\x00\x00";
return substr_replace($data, "", strpos($data, $bad_data),
strlen($bad_data));
} else {
//if not from a PPC 6700 return data unaltered
return $data;
}
}
===============================================================================
An easy example to help understanding this function...
$loadFile = "http://static.php.net/images/php.gif";
$im = imagecreatefromstring(file_get_contents($loadFile));
// identical to imagecreatefromgif($loadFile);
imagegif($im);
?>
The function will try to auto-determine file format (jpg, gif, png....), and
will return false if fails.
===============================================================================
I run a blogging site that allowed users to publish images from their cell
phones. For some reason, the nokia 3220 produces jpegs with extrandeous data
before the EOF 0xFFF9
I wrote this class to allow you to fix the images so that they can be used with
GD to resize and manipulate. Without applying the fix both GD and gimp report
errors for the file. If basically keeps eating bytes from the junk part till
the file is a valid jpeg. Here is an example bunk pic written by a nokia 3220
that you cna test it with http://www.shawnrider.com/moblog/cache/
0854747001121624103.jpg
/*
Author: Paul Visco
Hompage: http://www.elmwoodstrip.com?u=paul
AIM: paulsidekick
Notes: The file allows you fix the jpegs created by the Nokia 3220 picture
phone so that they can be manipulated using the GD library with PHP.
Usage: Simply instanitiate the class and then call the fix method for each
image.
e.g.
$nokia = new nokia;
$nokia->debug ="y";
$nokia->fix("yourpic.jpg");
*/
class nokia
{
public $file;
public $debug = "n";
public $dir_name = "";
private $img; //the image created from the string
private $str;
function fix($file)
{
//set the file to fix
$this->file = $file;
//load the file into a string
$this->str = file_get_contents($this->file);
//test to see if it is a nokia image or if it has been corrupted
previously
if (substr_count($this->str, chr(0x28).chr(0x36).chr(0x28).chr(0x2B)) =
= 0 || @imagecreatefromstring($this->str))
{
if ($this->debug =="y")
{
echo "\n
".$this->file."  is fixed now
thanks to p:labs!";
}
return true;
}
}
===============================================================================
Here is the code I did to create a thumbnail image from the database blob
field. The trick is to use "imagecreatefromstring()" to create an image file.
Jack Shieh
===============================================================================
Generating graphs in an external program (in this case, gnuplot) may cause
problems. This is a solution hacked together in the late hours of night.
===============================================================================
I'm trying to get the imagecreatefromstring to work with GIFs. Of course, it
won't.
I've read the tips but can't get them to work either.
The following is what I tried, based on above tips:
---
header('Content-Type: image/gif');
header('Content-Disposition: inline; filename=file.gif');
$temp = tmpfile();
fwrite($temp, $line['image']);
$src_img = imagecreatefromgif($temp);
fclose($temp); // this removes the file
$dst_img = imagecreatetruecolor(100, 100);
imagecopyresampled($dst_img, $src_img, 0,0,0,0, 100,100, imagesx($src_img),
imagesy($src_img));
imagegif($dst_img);
---
where $line['image'] is the gif as taken from my MySQL database...
If anyone that has been able to make something like this work could give me a
working piece of code I'd be really greatful!
I would be great if the tempfile could be excluded too...
Below is a working piece of code for jpeg:
---
header('Content-Type: image/jpeg');
header('Content-Disposition: inline; filename=file.jpg');
$src_img = imagecreatefromstring($line['image']);
$dst_img = imagecreatetruecolor(100, 100);
imagecopyresampled($dst_img, $src_img, 0,0,0,0, 100,100, imagesx($src_img),
imagesy($src_img));
imagejpeg($dst_img);
===============================================================================
I found out that in PHP 4.3.2 and 4.3.4 that the 'imagecreatefromstring'
function use a lot of memory when working with big image...
Try this piece of code with a big image (like 1Meg or more)
With a 400k image. I run with a 16M Mem_limit but for a 1.4M image, the
mem_limit required jump to more that 32M
===============================================================================
Create an image resource from file, without knowing image type:
===============================================================================
So you guys don't spend an hour trying to figure out why your script keeps
running out of memory when you're using this or the other imagecreatefrom
functions. GD uncompresses the image when you use these functions, and this
can lead to your script running out of memory.
If you download a rawimage save it on your computer to jpeg so the file size
comes down, GD will automatically convert it to the raw and you can possibly
run out of memory.


North Korea says 'pointless' for Kim to attend South Korea ASEAN summit
SEOUL: North Korea rejected an invitation for leader Kim Jong Un to attend a planned summit in Seoul with Southeast Asian nations next week, saying "now is not the time" due to strained ties, North Korean state media reported on Thursday (Nov 21).
South Korean President Moon Jae-in sent a letter of invitation to Kim on Nov 5, with an offer for an envoy to attend if he was unable to participate in the event, the official KCNA news agency said.
Moon has said Kim might join when he hosts leaders of the Association of Southeast Asian Nations (ASEAN) in the South Korean port city of Busan next week to celebrate the 30th anniversary of their partnership.
Moon's office said it was "very regretful" Kim would miss the event, and the invitation was meant to rally international support for the two leaders' joint efforts to foster peace.
While thanking Seoul for the invitation, North Korea requested the South's "understanding that we could not find any legitimate reason" for Kim to participate, KCNA said.
The statement accused South Korea of harming relations by depending on the United States in resolving inter-Korean issues.
"It is perplexing that they proposed discussing inter-Korean relations at such an unfitting multilateral venue, even after experiencing failures by relying so much on the United States," KCNA said.
READ: US, South Korea break off defence cost talks amid backlash over Trump demand
READ: US considers pulling up to 4,000 troops from South Korea: Report
The two Koreas undertook a flurry of diplomacy including three summits last year, during which Moon and Kim agreed to improve ties and restart stalled business initiatives.
But there has been no significant progress amid tightening sanctions aimed at the North's nuclear and missile programmes, and lacklustre denuclearisation talks between Pyongyang and Washington.


This emojicloud represents all emojis that Collyn Chan and I used in our WhatsApp conversations since September 2018. Using the TextBlob natural language processing package in python, I extracted and counted emojis from our conversation.
By matching times from my Google Maps Timeline history to message times, I extracted emojis from messages sent while I was at MIT from 2/11/19 - 2/13/19.
Using the same technique, I extracted emojis sent when I was home over the same 3 days.


autonomous collaborative creative agent
Monte Carlo Tree Search (MCTS)
intelligent user interface
promotes enhanced creative thinking
It would be highly desirable if we could instead specify only a high-level goal, like “make the output indistinguishable from reality”, and then automatically learn a loss function appropriate for satisfying this goal. Fortunately, this is exactly what is done by the recently proposed Generative Adversarial Networks (GANs) [ 22 , 12 , 41 , 49 , 59 ] (Isola et al., 2017, p.1126)
unconditional image modeling,
Deep learning, which has its roots from conventional neural networks, significantly outperforms its predecessors. It utilizes graph technologies with transformations among neurons to develop many-layered learning models.


The User Interface ontology at http://www.w3.org/ns/ui defines RDF terms for describing forms. The solid-ui project provides functions to use these forms within your web application to create a quick user interface solution. An introduction basically describes how forms work. This document describes how forms fit into the ecosystem of apps, views/panes, and data browsers and stuff.
How to forms end up getting used? How do form end up getting created, copied, and modified?
The simplest way is for a developer of a web app to included the mashlib, and then insert a form into the web page as a control, specifying the form and the subject, and the place he data is to be stored. This is a good way of building workflow quickly. It also separates out the logic of the form from the presentation details of style. A solid-ui form is not just a set of components, it is a binding to the underlying linked data. So no more code is needed by the developer.
Now look at other ways in which forms can be used within connected data system like the mashlib and the databrowser.
Forms create graphs of information starting off a root node, a seed node, if you like. They are made for recording information about things of particular types, in particular RFDS Classes. There are two relationships:
| ui:creationForm | Creation form | A form which may be used to collect information about a hitherto locally undocumented instance instance of this class. |
| ui:annotationForm | Annotation form | A form which may be used to add more information to an existing instance of this class which we know something about. Anything from adding just add one more fact, to adding a whole lot of information about a specific facet of the thing. |
A creation form must have enough in it to make a record which makes sense. Just having height and weight, for example, produces a node with nothing to identify what the thing is. A creation form may have say name, address, phone number so that the record is useful in apps. Once you have made something using a creation form, then you can later add more data with an annotation form. You can also use any creation form as an annotation form later to edit the data.
So in the form ecosystem, when a user wants to create something new, it is reasonable to give them a list of creation forms, for whatever classes they may be interested in. But then when they are looking in the UI at an object of a particular class, then it is reasonable to offer them those forms (of either type) relate to that Class of the object, if they want to record more things.
Using RDFS inference is useful here. If there are forms declared as being for Person class, and the user is looking at something which is of class Student, then it follows that the subject is also of type Person, and can so those forms may be used. One trick is to present first the forms of the most specific type (Student) before the ones for the more generic type (Person) as they may at a guess be more relevant.
How to find out forms for a given class? A simple way is to include the link to the form in the ontology. This obviously gives it a pretty definitive status.
Communities, projects, organizations and groups may want to share sets of forms they use, and so community-based indexes of these are interesting.
Forms are very simpler to shapes, as noted elsewhere. Forms can be generated from shapes.
Filling in forms should be something which is easy for any user to do. It will be conceptually complicated, should be as easy as possible also for them to make a new form. How does the work flow work? This one is easy to implement but not very easy.
Maybe they want to edit an existing form.
There are many ways of creating and editing forms, but because there is a form for editing forms, one way is with that.
If you are using the form form to create a form, then for each field you will have to supply a predicate. The solid-ui system will give you a selector to chose from all the predicates it knows about. For this reason it is good to load in ontologies you want to use before you start editing. The form playground has tools to do that.
Some days, the user finds that the good old vocabularies the Solid project has been using provide all the concepts they need. Some days, they will have to look further afield and find an existing ontology just new to them. Some days they will find one almost perfect and want to imagine of suggest friendly amendment to it.  Some days they will find the ad hoc ontology they created at one point is now one they want to get people to adopt or link to from their own ontologies.
So one way or another users will become ontology users, and then will become ontology editors and creators. We need tools to enable these workflows, particularly the social collaborative parts. These tools are not covered here. It is worth saying that the power of systems in a big world depends on wide interop, and you get interop from shared vocabularies, and you get shared vocabularies from hard work, where there is much glory but no free lunch.
So if ontology editing becomes a practical part of these workflows, can we use forms as one way of editing an ontology? It seems reasonable, though a custom engineered UI may be much nicer.
| To we have a ... | ontology | shape | form | |
|---|---|---|---|---|
| for a ... | ||||
| ontology | RDFS, OWL | ?? | ?? | |
| shape | SHACL | shape shape | ||
| form | UI | ?? | FormForm |
Filling in a bit of this table seems like it may by a good move.
A worthy goal is to build a platform where collaborative systems can be build by their users without having to write code. Forms can contribute to that quest.


|
CmdMessenger
3.0
CmdMessenger is a serial port messaging library for the .Net / Mono Platform.
|
Public Types | |
| enum | threadRunStates { Start, Stop } |
Public Member Functions | |
| CommandQueue (DisposeStack disposeStack, CmdMessenger cmdMessenger) | |
| void | Clear () |
| virtual void | QueueCommand (CommandStrategy commandStrategy) |
| void | AddGeneralStrategy (GeneralStrategy generalStrategy) |
Public Attributes | |
| threadRunStates | ThreadRunState |
Protected Member Functions | |
| virtual void | ProcessQueue () |
| override void | Dispose (bool disposing) |
| Performs application-defined tasks associated with freeing, releasing, or resetting unmanaged resources. | |
Protected Attributes | |
| readonly Thread | _queueThread |
|
readonly ListQueue < CommandStrategy > | _queue = new ListQueue<CommandStrategy>() |
| readonly List< GeneralStrategy > | _generalStrategies = new List<GeneralStrategy>() |
| readonly CmdMessenger | _cmdMessenger |
| override void CommandMessenger.CommandQueue.Dispose | ( | bool | disposing | ) | [protected, virtual] |
Performs application-defined tasks associated with freeing, releasing, or resetting unmanaged resources.
| disposing | true if resources should be disposed, false if not. |
Reimplemented from CommandMessenger.DisposableObject.
Reimplemented in CommandMessenger.ReceiveCommandQueue, and CommandMessenger.SendCommandQueue.


Global warming is expected to lead to a more vigorous hydrological cycle, including more total rainfall and more frequent high intensity rainfall events. Rainfall amounts and intensities increased on average in the United States during the 20th century and, according to climate change models, they are expected to continue to increase during the 21st century. These rainfall changes, along with expected changes in temperature, solar radiation, and atmospheric CO2 concentrations, will have significant impacts on soil erosion rates. The processes involved in the impact of climate change on soil erosion by water are complex, involving changes in rainfall amounts and intensities, number of days of precipitation, ratio of rain to snow, plant biomass production, plant residue decomposition rates, soil microbial activity, evapo-transpiration rates, and shifts in land use necessary to accommodate a new climatic regime. WEPPCAT is a web-based erosion simulation tool that allows for the assessment of changes in erosion rates as a consequence of user-defined climate change scenarios. This tool is based on the USDA-ARS Water Erosion Prediction Project (WEPP) erosion model. It has the capability of taking into account all of the erosion-affecting processes listed above.
To work with WEPPCAT, run the Baseline Conditions first by selecting the inputs on the left and pressing the “Run Baseline Conditions” button. When the simulation is complete this area will contain a brief summary of the results. To view more detailed outputs from the model, as well as the input files used, click on the link for the main WEPP output summary file at the bottom of the results page.
After the baseline Conditions are run, you can simulate different scenarios by selecting new inputs and modifying climate under the "Assess Changes" section on the left. Within the "Assess Changes" section of the program, you can also compare the outputs from the different scenarios by pushing the "Compare" button under the "Assess Change" pull-down menu.
The "Assess Filter Strip" pull-down menu allows the user to compute a new filter strip width under the changed climate scenario that has the same level of effectiveness (in terms of sediment yield) as did the original filter strip width under the original climate.
If you want start from the beginning, push the "Start Over" button, thereby erasing all the old work.
The WEPPCAT tool contains a new capability within "Modify Climate" Section of the program that allows the user to "Intensify Rainfall". Current understanding of trends in global climate change have indicated that not only are rainfall amounts increasing, but the amount of rain falling in high intensity events is also on the rise in many parts of the world. To our knowledge this is the first tool that allows one to assess the effects of rainfall intensification on soil erosion rates.


Allison Ivey
Computer Scientist"Life is like riding a bicycle. To keep your balance you must keep moving."
-Albert Einstein
I live my life with the intention of maintaining balance. My passion for reading is balanced by playing roller derby. My love for work and intellectual pursuits is balanced through dance classes, biking, and hiking. My love for conversation, board games, going to shows, and social events are balanced through cooking, binge listening to podcasts, and meditation. This balance allows me to maintain a happy and healthy lifestyle that can be contagious.


It's time for a party!
The xAPI Party is a gathering of explorers, strategic thinkers and people of all sorts using the Experience API. It’s a day filled with case studies, how-to sessions, demos and networking. (OK, yes, it’s really a one-day conference, but ‘Party’ sounds like – and is – a lot more fun.)
As you may know, xAPI is the emerging specification for tracking learning and performance. While it’s rewarding to be at the forefront of xAPI’s implementation, there’s still so much to learn and so much yet to be decided by the industry. We find meeting with other curious trailblazers helps all involved. That’s why we host the 12-week learning-by-doing-in-teams-on-projects xAPI Learning Cohort every spring and fall. Folks from a diverse group of organizations, with a range of xAPI experience, form themselves into teams to explore a variety of use cases. And then we celebrate all that work with a Party.
We have sessions for the novice and the expert, for the tech-proficient and the tech-reluctant, and sessions for the Learning Cohort teams to share their projects. We post the recordings for those not available to attend live.
Registration is free, and you do not need to have participated in the Cohort to join the Party, and vice versa.


DC's Dark Multiverse Has Finally Given Us the Perfect Deathstroke
by Renaldo MatadeenWARNING: The following contains major spoilers for Deathstroke #50, from Christopher Priest, Carlo Pagulayan, Fernando Pasarin, Jason Paz, Oclair Albert, Norm Rapmund , Danny Miki, Jeromy Cox and Willie Schubert, on sale now.
Deathstroke #50 signals the end of writer Christopher Priest's high-octane run with the character and brings the curtain down on an arc that's seen two Slade Wilsons going at it in the DC Universe. This story has seen "Old Man Deathstroke" in his slick Darth Vader-esque armor feuding with the mainstream Deathstroke who tried to retire recently, leading to all-out war.
However, this finale reveals that the older Deathstroke hails from the Dark Multiverse that's fueling many DC stories right now, where he was the most perfect Slade Wilson ever.
Click the button below to start this article in quick view.
Instead of being a clone or a copycat of the main Deathstroke, the elder Wilson has been marooned on Earth from the Dark Multiverse. But before he arrived here, he was truly the most ideal killer.  With Damian sipping on a juice box, the issue pays homage to a story that teased the idea that Slade could really have been this Robin's dad.
In this reality, Slade he is Damian's father, and Wonder Woman is his mother. Together, they make up Slade's perfect, deadly family. After Batman's death, the Teen Titans, his traditional rivals, show up, and Slade and his family prove just how deadly they really can be.
Kid Flash goes after Slade, but the villain siphons off the speedster's kinetic energy into his suit while shutting down the hero's neural system. With his brain and body disconnected, Slade slits the throat of Kid Flash, before speeding around to murder the rest of the crew. Deathstroke hacks into Cyborg as well, which causes him to explode. Slade then impales Starfire, as Wonder Woman hacks Beast Boy to death. Finally, Damian gets the prized shot by putting a bullet through the head of Nightwing.
The brutal brawl is an absolute massacre that leaves Donna Troy behind as the only survivor. With Wonder Girl trying to convince Diana that Slade used mind-control tech on her, she's still hopelessly outmatched in the battle.
Even though this world's Raven shows up to zap this Deathstroke into the main DC Universe, this Slade Wilson accomplished more in a few pages than his counterpart has in his entire career. Even though the main Slade had elaborate plans to take down the Titans like the one he used in "The Judas Contract" storyline, he and his family take out the Titans and Batman with a straightforward and practical approach and effective allies a family who get the job done.
The deadly Dark Multiverse trinity of Slade, Diana and Damian accomplish far more than the real Slade ever did with his children Jericho and Ravager. With a demigoddess for a wife and an elite assassin for a son, the Dark Multiverse Deathstroke is living his best life.
While Deathstroke's time in the Injustice League, the Suicide Squad or the Secret Society of Super-Villains has never amounted to much, the Deathstroke is backed up by the ultimate team. By banishing the Dark Multiverse Deathstroke to the DC Universe, Raven takes away two of his greatest assets and forces him to confront his greatest fear- a younger version of himself. This might not be the best punishment, but it certainly has pushed Old Man Slade to the limit, as he faces the sins of the past in this fight against his younger self.
https://schema.orgBreadcrumbListListItem1Homehttps://www.cbr.com/ListItem2Comicshttps://www.cbr.com/category/comics/ListItem3Comic Newshttps://www.cbr.com/category/comics/news/ListItem4DC's Dark Multiverse Has Finally Given Us the Perfect Deathstrokehttps://www.cbr.com/dcs-dark-multiverse-has-finally-given-us-the-perfect-deathstroke/


Soil pellets come in flat cylinders and expand when water is added. The pellet will grow about six times its size in a few moments. After it is done expanding it is ready to use. Seeds can be inserted in the center where there is no netting. Soil pellets are a great way to start a planting project as it is convenient and space efficient.
10-15mins


ChunkStreamFactory
Breaks the markdown document in to Chunk
s, so that later recognition can function.
This means this
- Identifies the major boundaries of block elments
- Figures out the
LinkDefinition
s. Those are needed for Span recognition.
When we run into something we can't parse, there's a simple rule; go on. If I detect that there will be more and more problems, well. Hm.
Notably, this remembers the position of each chunk in the input.
// In com/tristanhunt/knockoff/ChunkStreamFactory.scala
package com.tristanhunt.knockoff
// See the ChunkStreamFactory imports
trait ChunkStreamFactory extends Logged {
/** Overridable factory method. */
def newChunkParser : ChunkParser = new ChunkParser
lazy val chunkParser : ChunkParser = newChunkParser
def createChunkStream( str : String ) : Stream[(Chunk, Position)] =
createChunkStream( new CharSequenceReader( str, 0 ) )
def createChunkStream( reader : Reader[Char] ) : Stream[(Chunk, Position)] = {
if ( reader.atEnd ) return Stream.empty
chunkParser.parse( chunkParser.chunk, reader ) match {
case chunkParser.Error( msg, next ) => {
log( msg )
log( "next == reader : " + (next == reader) )
createChunkStream( next )
}
case chunkParser.Failure( msg, next ) => {
log( msg )
log( "next == reader : " + (next == reader) )
createChunkStream( next )
}
case chunkParser.Success( result, next ) => {
Stream.cons( ( result, reader.pos ), createChunkStream( next ) )
}
}
}
}
// The ChunkStreamFactory imports
import scala.util.parsing.combinator.Parsers
import scala.util.parsing.input.{ CharSequenceReader, Position, Reader }
import scala.util.logging.Logged


the and for clinical {background patients trial margin {border-style would The px;} #ffffff;} are COVID- â€" not was could trials with study were Ebola from that which data should who conduct use However, conducted efficacy px; {font-family This consent during ethical font-size has scientific there China based care double; high investigators review such when Clinical LOTUS any available border-color border-width children compared favipiravir higher information investigator mortality public severe solid; standard this trial, trial. viral {font-style {font-weight AEs Available accessed approved assessment bold challenges considered courier; disease due em; ethics example, from: have ill informed into limited lopinavirâ€"ritonavir members outbreak pandemic participants potential pt;} randomization rapid require research safety sample serious time treatment used virus will


SOSME is an Accounting and Tax Services company, located in Hollywood, Fl. Our mission is to offer an efficient service to meet the current and future needs of our clients with ease to achieve their financial and business goals.
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Peer Review - Scheduled Maintenance
Peer Review is currently undergoing scheduled maintenance that requires the site to be down. This usually involves the database and shouldn't take more than an hour or two. Check back later!
Peer Review is currently undergoing scheduled maintenance that requires the site to be down. This usually involves the database and shouldn't take more than an hour or two. Check back later!


| askForPassword {rstudioapi} | R Documentation |
Ask the user for a password interactively.
askForPassword(prompt = "Please enter your password")
prompt |
The prompt to be shown to the user. |
RStudio also sets the global askpass
option to the
rstudioapi::askForPassword
function so that it can be invoked in a
front-end independent manner.
The askForPassword
function was added in version 0.99.853 of
RStudio.
## Not run: rstudioapi::askForPassword("Please enter your password") ## End(Not run)


Welcome to Detour for History
Where you can learn all about Nashville historical markers without having to pullover!
Enter Coordinates
Enter longitude
Enter latitude
SUBMIT
This is where the JS will put the marker text from the database
This is where the web map from the api will go??


Day 1 Monday
Topic: Learning, Art, and Programming.
Morning session
– JHT introduction
– The Plan for the workshop, the plan for today.
– Learning: in general and learning programming & art in particular
– Art: Combining art and programming
– Programming: A little history and projections
– Introductions from the audience
– Building Mobile Apps
– Browser based.
– HTML5 platforms (PhoneGap, Titanium, Sencha)
– Native (iOS, Android)
– Developing Your Programming & Art skills
– Short Break
– Lab: Hands on with Processing
– Lab: Hands on with HTML5 JavaScript
– Lunch Break
Afternoon session
– JHT introduction
– Introductions from the audience
– Building Mobile Apps (repeat – shorten/expanded if needed)
– Developing Your Programming & Art skills (repeat – shorten/expanded if needed)
– Lab: Combining an HTML5 Platform with jquery, bootstrap, and other libraries.
Evening Session
– JHT introduction
– Introductions from the audience
– Building Mobile Apps (repeat – shorten/expanded if needed)
– Developing Your Programming & Art skills (repeat – shorten/expanded if needed)
– Lab: Building an iOS App


parallax all the things in react-vr
Extends Component
Type: object
(number?)
: lower rotation degree bound
(number?)
: upper rotation degree bound
(number?)
: slop to add to wrapper via prop getter
(number?)
: initial x value in view, between 0 and 1
(number?)
: initial y value in view, between 0 and 1
(number?)
: controls "bounciness"/overshoot of the onExit animation
(number?)
: controls speed of onExit animation
(boolean?)
: flip the sign on the x rotation transform style value
(boolean?)
: flip the sign on the y rotation transform style value
(boolean?)
: only map onMove events to state when "latched"
(function?)
: Is called with the StateAndHelpers of wobbly.
(function?)
: Is called with the StateAndHelpers of wobbly.
The state of wobbly and prop getters are exposed as a parameter to the render prop.
Type: object
(function)
: prop getter - returns the props to spread into the element which controls the parallax effect by moving over it.
(function)
: prop getter - returns the x,y state in a format the transform style property will take. Spread this into the style.transform array on an "Animated" element to which a parallax effect should be added. NOTE: This element must be "Animated" like "Animated.VrButton".
(number)
: state - x state value
(number)
: state - y state value
(number)
: state - the latched state
(function)
: action - function that toggles the latched date


{% extends "layout.html" %}
{% block pageTitle %}
Check your answers before sending your application - Apply for a vehicle test or approval - GOV.UK
{% endblock %}
{% block beforeContent %}
alpha
This is a new service – your feedback will help us to improve it.


--- ---
What’s S5?Simple Standards-based Slide Show System (S5) is a classic public domain (free, open source) slide show package inspired by Opera Show and others that works in all modern browsers (without any plugin required because it includes its own slide show machinery in JavaScript). (Use the |
What’s S6?S6 started as a rewrite of S5 using the jQuery JavaScript library — offering easier to understand and easier to extend code. Add plugins, effects and more. Contributions welcome! (Use the |
Check the Slide Show (S9) Template Gallery for more template packs and samples.


CTO
Nikolay Chernov
Senior Software Engineer and Technical Lead with more than 25 years experience. Object-Oriented Analysis and Design, Design Patterns, Best Programming Practices in C++ and C#, TDD (Test Driven Development), Qt, Cloud Application(Azure), Agile development with Scrum, client/server programming, TCP/IP and web protocols, Windows system programming, Multi-threading & IPC, Web Services, Git, SVN, TFS, Perforce, DDK/WIN PE build environment (NT Build), CMake. Last years focused on Web Application development on Python and TypeScript for implementing solution for small and middle businesses.
Projects
- https://www.simple2b.net/ ___________________ [ HTML5, CSS, Bootstrap ]
- https://www.waldup.com/ ____________________ [ Flask, React.js, Leaflet ]
- https://mockmate-hiring.herokuapp.com/ ____ [ Bootstrap, jQuery, Flask ]
Main Work Experience
CTO, Co-founder Simple2B
April 2020 - up to now | Ukraine
- Software Tech Stack Evangelist
- Developing of Software Engineers
- Business strategy development
Senior Software C++/Python Developer / Dev Lead. Wargaming Ltd.
2013 - 2019 | Ukraine, Belarus
- World of Tanks. PC Game Client. Minsk, Belarus
- Lead of development Game Editor, for the new game engine
- World of Warplanes Game. Windows Game Client. Kyiv, Ukraine
Software Developer Engineer. Microsoft R&D Israel
2005 - 2012 | Israel
- Microsoft Security Essentials V.4
- Protection Services 2011
- Forefront Endpoint Protection 2010
- Microsoft Security Essentials Version 1.0
- Windows Live OneCare Version 2.0
Education
National Technical University of Ukraine (KPI)
Mechanical Engineer
1990 - 1996 | Ukraine


A credential is a qualification, achievement, quality, or piece of
information about an entity's background such as a name, government ID,
payment provider, home address, or university degree.
The use cases outlined here are provided in order to make progress toward
possible future standardization and interoperability of both low and
high-stakes credentials with the goals of storing, transmitting, and receiving
digitally verifiable proof of qualifications and achievements.
The following use cases focus on concrete scenarios that the technology created
by the group should address.
Introduction
A credential is a qualification, achievement, quality, or piece of
information about an entity's background such as a name, government ID,
payment provider, home address, or university degree.
The use cases outlined here are provided in order to make progress toward
possible future standardization and interoperability of both low and
high-stakes credentials with the goals of storing, transmitting, and receiving
digitally verifiable proof of qualifications and achievements.
The following use cases focus on concrete scenarios that the technology created
by the group should address.
Create a better introduction to the use cases.
An Overview of Phases of Credential Usage
While the credentials specifications are intended to allow for their use in a variety of industries and scenarios, there are consistent phases to the procedure as defined below.
- Issuing Credentials
- Storing Credentials
- Managing Credentials
- Consuming Credentials
Design Criteria
When exploring systems design, there are concepts that clearly fit into use
cases and concepts apply to all use cases. We are calling the latter class of
concepts design criteria, which are goals that should be kept in mind
while designing the overall credentials system.
Data Portability
Ensure credentials may be easily moved from one credential service
to another.
Examples
-
Yannos has been storing all of his credentials at his college credential service
and, upon graduating, would like to move them to a more long-term storage
service. All of the credentials are moved without having to re-issue or
re-assign any of the credentials.
Data Rights
Ensure credentials may be dynamically annotated with acceptable use information
when transmitted to credential consumers.
Examples
-
Rosa is transmitting her email address to a group buying website and wants to
ensure that her email address will not be used for unsolicited emails. She
attaches a "no advertising" assertion to her email credential to
ensure that it isn't re-transmitted to 3rd parties for advertising purposes.
Legacy Support
Ensure the Credentials solution can provide an abstraction layer that
integrates with existing authentication methods
(eg: email, username/passwords, etc.)
Examples
-
Petra goes to login to a website, but does not have any credentials. She does,
however, have a username/password based account on the website. She is able to
bypass the credential-based login and use a username/password login instead.
Flexible Access Control
Ensure that a recipient may provide access to their credentials
in an interactive and non-interactive manner. Access granted by the credentilee
may be revoked at a later time by the recipient.
Examples
-
Ralph is buying wine at an online wine store. The wine store interactively
requests a proof-of-age and shipping address credential from Ralph before
completing the transaction.
-
The Good Food grocery store requests non-interactive access to each of their
customer's email credentials when they sign up for a loyalty card. If a
product recall notice is ever issued for an item a customer purchased, the
latest email address for the customer is fetched and the product recall notice
is forwarded to the customer.
-
Jackie allows TrustMart to automatically retrieve her latest address and phone
credentials. She then receives unsolicited junkmail that she knows came from
TrustMart. She deauthorizes TrustMart from pulling her latest address and phone
credentials.
Reuse and Extend
Consider using existing, widely deployed identity provider mechanisms (e.g.
Facebook Connect, OpenID Connect, G+ Sign-In, etc.) to integrate with the
credential sharing process. Only invent a new mechanism if the current identity
provider mechanisms do not provide the functionality necessary to achieve
the use cases promoted by the group.
Examples
-
Charlie uses an OpenID Connect login process to login to a website, which also
transmits his credential service URL. The website uses the credential service
URL to request additional credentials that the website needs to verify his
education credentials.
Identifier Alignment
Enable credentials to be issued by systems in a way that allows each system
to align their internal identifiers with the other.
Examples
-
Virginia Tech (a university) and the US Department of Education would like to
update the loan status of a particular individual. Both systems support
credentials, but neither of them desire to use the universal identity URL in
their internal systems (due to legacy system limitations). Both systems use a
common internal identifier, such as a loan ID embedded in a credential, to
align the data in both systems with the other.
Use Cases
Issuing Credentials
Issuing a Credential
- Issuing a Credential
-
- Roadmap phase
- Uncategorized
- Motivation
- Accessibility
- Privacy
- Endorsing a Credential
-
A credential may be endorsed/counter-signed by one or more entities.
Signatures can be either dependent on one another (chained together), or
multiple signatures on original credential (part of a mathematical Set).
-
MidBank is attempting to establish a solid credit rating and hires three credit
ratings agencies to audit its books. Each firm determines that the bank should
have a AA credit rating and digitally countersigns the same credential 3 times
to demonstrate the credit worthiness of the bank.
-
Two people get married and get a marriage credential which needs to be
digitally signed by the person that married them and the witness, in that order.
The credential is first issued by the person that married them, and is then
counter-signed by the witness.
-
A learner named Olivia is choosing among summer internships, some of which
offer opportunities to earn badges that are endorsed by her school. These are
badges that could be used to fulfill an interest-driven learning graduation
requirement her district has recently implemented. With the additional
information provided to her by the school’s endorsement of certain badges,
her choice among internships is made much simpler. This example came from the
Open Badges Endorsement Framework Working Paper,
which was created by the
Badge Alliance Endorsement Working Group.
-
Horizon Learning (HL) develops healthcare professional development modules.
Health Education Alliance (HEA) is an industry association that provides
professional development rating services for providers and specific learning
modules. Emily works at Health Services International (HSI) and needs to take
professional development courses. Her company pays 50% of the cost for modules
she takes if they are endorsed by HEA.
The last two examples are using a different definition of "endorsement" than
the first two examples. The first two examples use a more technical definition,
which is "endorsement as a layering or multiple signatures on a single
credential (aka: the service provided by a notary public or witness)".
The last two examples use a more functional definition, which is
"endorsement as an official approval of a certain type of credential by a 3rd
party (aka: the service provided by an accrediting organization)". Clearly all
the use cases are valid, but we need to either define what "endorsement"
means, or use other language that won't confuse readers (or both).
- Roadmap phase
- Uncategorized
- Motivation
- Accessibility
- Privacy
Storing Credentials
- Storing a Credential
-
Store a credential via the Web in a way that is easy to share with
a credential consumer given authorization by the
recipient. Ensure that the credential is easy to
synchronize between devices.
-
Cal receives a credential asserting that TrustCorp has verified that his email
address is valid. Cal stores the credential with his CredVaultCorp credential
vault. He also configures his personal credential vault to backup his
credentials from his CredVaultCorp vault on a regular basis.
- Roadmap phase
- Uncategorized
- Motivation
- Accessibility
- Privacy
Managing Credentials
- Revoking a Credential
-
Cory shops for groceries at his local ChowMart, scans his loyalty card and
all of the items he wants to purchase at the automated kiosk, requests
a cash back amount, and is presented with a total amount.
- Roadmap phase
- Uncategorized
- Motivation
- Accessibility
- Privacy
- Deleting a Credential
-
Cory shops for groceries at his local ChowMart, scans his loyalty card and
all of the items he wants to purchase at the automated kiosk, requests
a cash back amount, and is presented with a total amount.
- Roadmap phase
- Uncategorized
- Motivation
- Accessibility
- Privacy
- Composability
-
Multiple credentials from multiple issuers are composed together to grant
authorization to access a system.
-
Marisol wants to open a bank account at a new bank. The bank requires two
valid forms of identification. She uses a US Passport credential and a
Colorado drivers license credential to prove that she is who she says she
is to the bank.
-
Harpreet needs to access a secure Department of Defense facility. He provides
his government ID credential, his Top Secret facility access credential, and
his
SCIF
room assignment to get access to the building entrance.
- Roadmap phase
- Uncategorized
- Motivation
- Accessibility
- Privacy
Consuming Credentials
- Interactive Transmission
-
A recipient requests access to a restricted portion of a
credential consumer's website. The credential consumer interactively
requests one or more credentials previously
stored with the recipient's credential service. The
recipient authorizes the transmission of the credentials to the credential consumer.
-
Roxy visits the FineWines.com website and selects a number of wines to
purchase. The website requests a proof-of-age and shipping address credential
from Roxy. Roxy's IronVaultCorp credential service delivers both credentials,
allowing her to finalize the transaction.
- Roadmap phase
- Uncategorized
- Motivation
- Accessibility
- Privacy
- Non-Interactive Transmission
-
A credential consumer requests credentials
from a credential service that have been pre-authorized to be
accessed through a non-interactive channel.
-
A grocery store wants to send out a product recall notice and requests an
up-to-date email address from each of their customers' credential service to
ensure that they're sending it to the correct email address. The customers have
previously authorized ongoing access to their preferred email address
credential.
- Roadmap phase
- Uncategorized
- Motivation
- Accessibility
- Privacy
Verifiable Claims
- Verifying a Credential
-
A credential consumer cryptographically verifies that an
issuer has made a particular set of claims about an
entity. A claim would consist of an assertion about a particular
qualification, achievement, or attribute of the entity.
-
A university would like to verify that an incoming student has achieved an
acceptable score on the GRE by verifying their score report with Educational
Testing Service (ETS).
-
A bank would like to perform "Know Your Customer" clearing on a new customer
by checking to see that they are a citizen of Finland and that they have
a current national ID card issued to them by their government.
-
A hospital would like to ensure that a prospective employee is licensed to
practice medicine in their state as well as having up-to-date certificates
related to areas of specialization.
- Accessibility
- Roadmap phase
- Uncategorized
- Motivation
- This is the base use case for the credentials work. It establishes the need for a way to make claims about an entity and
a way to cryptographically verify that the claims were made by a particular
issuer.
- Privacy
- Need to Know
-
A recipient accesses a restricted portion of a website
without revealing secrets that are not vital in order to be granted access.
-
Umal provides a credential stating that he is over the age of 13 in order to
buy access to a PG-13 rated movie. This enables the online retailer
to avoid collecting information on a minor while ensuring that the proper age
check is performed before granting him access to the movie.
- Roadmap phase
- Uncategorized
- Motivation
- Accessibility
- Privacy
- Pseudo-Anonymity
-
Access a restricted area of a website using a credential without revealing
any personally identifying information. Personally identifying information is
available to law enforcement via a court order.
-
Roman would like to purchase access to an adult website without revealing any
personally identifying information. He transmits an age verification credential
and an an email mixnet credential to the merchant. The merchant is not able
to use that information to identify Roman.
- Roadmap phase
- Uncategorized
- Motivation
- Accessibility
- Privacy
- Identity Aliases
-
A recipient uses a short-identifier text string to lookup
an entity identity URL.
-
Gunther enters a short-identifier that he believes identifies The Smart Store
into a UI. The UI displays a certificate of authenticity that indicates the
short identifier is in fact for The Smart Store. Gunther uses the short
identifier to make a payment to the store. The short identifier is expanded to
an identity URL and then the identity URL is used to determine the primary
payment account for the identity URL.
- Roadmap phase
- Uncategorized
- Motivation
- Accessibility
- Privacy
Acknowledgements
The editor is thankful to the following contributions from the
Web Payments Workshop, the Web Payments Community Group, and the
Credentials Community Group, specifically (in alphabetical order): TBD


This project presents a collection of programming playlists from some of our favorite YouTube peronalities. Covered topics range from basic development tips all the way to machine learning algorithms.
If you find a particular channel that interests you, be sure to like, subscribe, and visit their YouTube page to see what else they have to offer!


We are creating a sports / team management system that is used to keep track of roster, points, optimal team setups (lines), practice drills and other information related to running a team. It will allow a coach to create and store exercises along with player specific information to ensure the team can be run efficiently and improve itself. To begin it will focus solely on Hockey which is the most popular sport in Canada and fifth most popular in the United States.
1. System: It will be a multi tier web application using multiple tools, as listed in part 2, which allow for quick access to a database where the server retrieves player and drill info and returns it in a readable format to the user in the web browser. The team planning will involve loading player information and user input parameters into a php file which calculates the lineup of players that best meet the requirements and returns it in a readable table to the user. The website will be deployed in docker to ensure the server has all libraries available and compatible with the site requirements.
2. Tools: Xampp, Apache, mySQL, JQuery, AJAX, JavaScript, PHP, Composer, and Docker.
3. Views:
4. Architecture:
List of tasks/milestones/check points of your project with time schedule. For group project, it needs to provide the roles and tasks of each member.
| Task ID | Description | Due date | Lead |
|---|---|---|---|
| 1 | Project Research & Team up | Day 5 of week 9 | Ben |
| 2 | Project Proposal | Day 1 of week 10 | Ben |
| 3 | UI & Database Design Completed | Day 5 of week 10 | Ben |
| 4 | UI & Database Connections Completed | Day 5 of week 11 | Ben |
| 4 | Algorithms & Testing Completed | Day 4 of week 12 | Matt |
| 6 | Project Demonstration | Day 5 of week 12 | Matt |
| 7 | Docker Containerization Complete | Day 4 of week 13 | Matt |
| 8 | Project Submission | Day 5 of week 13 | Matt |


ozpIwc.api.intents.FSM Class
A Finite State Machine for in-flight intent resources. This state machine is static and manipulates the apiNodes it receives given the packet context received.
Item Index
Properties
Methods
choosing
()
ozpIwc.api.base.Node
The choosing state. The node is in a choosing state when: (1) the intent chooser is opened. (2) the api is gathering the preference-stored designated handler.
The node will transition to delivering once the handler has been chosen.
Returns:
complete
-
entity
The Complete state. Once the intent has been handled or canceled the node will transition to the complete state. From here the API will mark the node for deletion as it is no longer needed.
Parameters:
-
entity
ObjectThe entity of the request packet received by the Api.
Returns:
delivering
-
entity
The delivering state. The node is in a delivering state when it's registered handler is called to operate on the intent data. The register handler will respond with "running" to signify it has received the request.
Parameters:
-
entity
ObjectThe entity of the request packet received by the Api.
Returns:
error
-
entity
The error handling state. This state is called when unexpected state changes and missing data occurs in the state machine.
Parameters:
-
entity
ObjectThe entity of the request packet received by the Api.
Returns:
init
()
Object
The initial state. This state immediately determines the next state of the node based on the number of handler choices it contains.
Returns:
-
eventName
-
event
Parameters:
-
eventName
StringName of the event.
-
event
ObjectEvent object to pass to the handlers.
Returns:
The event after all handlers have processed it.
mixinOnOff
-
target
Parameters:
-
target
ObjectTarget to receive the on/off functions
off
-
event
-
callback
Parameters:
-
event
String -
callback
Function
on
-
event
-
callback
-
[self]
Parameters:
-
event
StringThe name of the event to trigger on.
-
callback
FunctionFunction to be invoked.
-
[self]
Object optionalUsed as the this pointer when callback is invoked.
Returns:
A handle that can be used to unregister the callback via off
running
-
entity
The running state. The node is in a running state when the registered handler has received the request data. The node will transition to the "complete" state upon receiving a response from the handler's operation.
Parameters:
-
entity
ObjectThe entity of the request packet received by the Api.
Returns:
stateReturn
-
node
Triggers node's state event and returns the node.
Parameters:
-
node
Object
Returns:
transition
-
node
-
[packet]
The transition utility function. This determines if the requested state change from the packet is valid, then calls the state transition and returns the modified node for storage.
Parameters:
-
node
ozpIwc.api.base.Node -
[packet]
ozpIwc.PacketContext optionalIf not provided, FSM assumes initial state transition.
Returns:
Properties
events
Object
Default: {}
states
Object
A collection of states in the FSM. Each state is a function that is called when a node transitions to it via ozpIwc.InFlightFSM.transition. Each state function is called with the node's scope.
stateTransitions
Object
A collection of state transitions for the Finite State machine. The first level of properties represent current state and the second level represents states that can be transitioned to.


Storage
Storage is an easy way to store key/value pairs and JSON objects. Storage uses a variety of storage engines underneath, picking the best one available depending on the platform.
When running in a native app context, Storage will prioritize using SQLite, as it's one of the most stable and widely used file-based databases, and avoids some of the pitfalls of things like localstorage and IndexedDB, such as the OS deciding to clear out such data in low disk-space situations.
When running in the web or as a Progressive Web App, Storage will attempt to use IndexedDB, WebSQL, and localstorage, in that order.
Usage
First, if you'd like to use SQLite, install the cordova-sqlite-storage plugin:
cordova plugin add cordova-sqlite-storage --save
Next, install the package (comes by default for Ionic apps > Ionic V1):
npm install --save @ionic/storage
Next, add it to the imports list in your NgModule
declaration (for example, in src/app/app.module.ts
):
import { IonicStorageModule } from '@ionic/storage';
@NgModule({
declarations: [
// ...
],
imports: [
BrowserModule,
IonicModule.forRoot(MyApp),
IonicStorageModule.forRoot()
],
bootstrap: [IonicApp],
entryComponents: [
// ...
],
providers: [
// ...
]
})
export class AppModule {}
Finally, inject it into any of your components or pages:
import { Storage } from '@ionic/storage';
export class MyApp {
constructor(private storage: Storage) { }
...
// set a key/value
storage.set('name', 'Max');
// Or to get a key/value pair
storage.get('age').then((val) => {
console.log('Your age is', val);
});
}
Configuring Storage
The Storage engine can be configured both with specific storage engine priorities, or custom configuration options to pass to localForage. See the localForage config docs for possible options: https://github.com/localForage/localForage#configuration
Note: Any custom configurations will be merged with the default configuration
import { IonicStorageModule } from '@ionic/storage';
@NgModule({
declarations: [...],
imports: [
IonicStorageModule.forRoot({
name: '__mydb',
driverOrder: ['indexeddb', 'sqlite', 'websql']
})
],
bootstrap: [...],
entryComponents: [...],
providers: [...]
})
export class AppModule { }
Instance Members
driver
Get the name of the driver being used.
string
|null
Name of the driver
ready()
Reflect the readiness of the store.
Promise<LocalForage>
Returns a promise that resolves when the store is ready
get(key)
Get the value associated with the given key.
| Param | Type | Details |
|---|---|---|
| key |
any
|
the key to identify this value |
Promise
Returns a promise with the value of the given key
set(key, value)
Set the value for the given key.
| Param | Type | Details |
|---|---|---|
| key |
any
|
the key to identify this value |
| value |
any
|
the value for this key |
Promise
Returns a promise that resolves when the key and value are set
remove(key)
Remove any value associated with this key.
| Param | Type | Details |
|---|---|---|
| key |
any
|
the key to identify this value |
Promise
Returns a promise that resolves when the value is removed
clear()
Clear the entire key value store. WARNING: HOT!
Promise
Returns a promise that resolves when the store is cleared
length()
Promise
Returns a promise that resolves with the number of keys stored.
keys()
Promise
Returns a promise that resolves with the keys in the store.
forEach(iteratorCallback)
Iterate through each key,value pair.
| Param | Type | Details |
|---|---|---|
| iteratorCallback |
any
|
a callback of the form (value, key, iterationNumber) |
Promise
Returns a promise that resolves when the iteration has finished.


Book our buses anywhere across the globe in just seconds.


Create terrain overlays¶
Create terrain overlays
- Introduction
- Creating Terrain Overlays
- Define, Build, and Push a Database for the Terrain Overlay
- Publish a Database for the Terrain Overlay
- View the Database
Introduction
A terrain overlay is a secondary terrain database that you can use to “overlay” on top of another database in Google Earth EC. For example, you may want to add a terrain overlay as an inset of terrain data at a higher resolution. Another great benefit is how easy it is to add new terrain resources for just a specific area of an existing database, requiring less storage space and less time; instead of having to rebuild the entire terrain project, you can now just build a new database for a terrain overlay, based on the new resource, then add it as an additional database (terrain layer) in Google Earth EC.
A terrain database is defined by the resolution tiles that contain it, but the actual terrain can have an irregular shape. For example, a geospatially smaller database of terrain that contains the land mass for a country includes areas of the resolution tiles that are outside the country’s borders. These areas are called fill, and Google Earth Enterprise Fusion lets you create an overlay that uses lower resolution data for the fill area, which can then “blend” as you add your secondary terrain database on top.
Base terrain database:
Secondary terrain overlay database with low resolution “fill”:
In Google Earth EC, you overlay the secondary database using Add Database, blending the two terrain databases together.
Base terrain database and secondary terrain database blend together with low resolution “fill” created by the terrain overlay:
Tip
Using the base terrain as the fill for the secondary terrain ensures smooth viewing transitions at the overlay borders.
Creating Terrain Overlays
You create the terrain overlay in the Terrain Project Editor:
Select Tools > Asset Manager. The Asset Manager appears.
Click . The Terrain Project Editor opens.
Click . The Open dialog appears.
Note
The selection in the Type drop-down list near the bottom of this dialog determines the type of resources that appear on the list. Terrain Resource is automatically selected when you open this dialog from the Terrain Project Editor, so only terrain resources appear on the list.
Navigate to the folder that contains the terrain resources.
Select the resource that you want to add to the project and click Open. The selected resource appears in the Terrain Project Editor.
Repeat steps 3 through 5 for each additional resource that you want to include in your terrain project.
Check the Build “Overlay” box and specify the Start Level and Resources Min Level values.
Start Level determines the resolution level from which the terrain overlay will be built. For example, specifying a value of 4 denotes the initial resolution level of 4 is used to build the overlay. You should specify a start level to a value where the terrain inset becomes significant based on the minimum resolution level of the terrain resources used to build the terrain overlay.
For example, if the resolution level for terrain insets used for building the terrain overlay is 17 while the resolution level for filling terrain is 9, as in the example below, then the Start Level might be set to 14 or 16. This would build a terrain overlay from a resolution level of 14 or 16 where the higher resolution terrain will typically begin to be relevant.
Tip
In some cases, where smoother transitions across zoom levels are desired, a lower Start Level might be used, and in very rare cases where the overlay data differs radically from the base terrain data, the Start Level might be set even lower than the fill terrain resolution.
Resources Min Level defines a threshold level that separates the resources into either fill terrain or the actual overlay terrain. Resources with a resolution level that is less than the Resources Min Level level are used to create the “fill” for the terrain overlay. Resources with a resolution level at or above the threshold level are used to create the overlay terrain itself. In this example, using the WorldTopography resource with a resolution level of 9 and setting the Resources Min Level to 14 specifies WorldTopography as fill in the terrain overlay. Likewise in this example, the SFTerrain resource with a resolution level of 17, higher than the Resources Min Level of 14, is used as the actual overlay terrain.
Note
It is the overlay resources and not the fill resources that determine the extent of the overlay.
Note
If every resource is at or above the Resources Min Level, then 0 (sea level) is used for the fill terrain. Equally, if you set the Start Level to a resolution beyond the extent of the base terrain resource resolution, then 0 (sea level) is used for fill terrain.
When you have finished setting the terrain overlay options, click File > Save.
Navigate to the folder where you wish to save the project or click to create a folder in the desired location.
Enter the name of the project, and click Save. The new project name appears in the Asset Manager’s asset list.
Right-click the project name and select Build from the context menu.
The status of the project immediately changes to Queued and then In Progress.
When the status of the build changes to Succeeded, go on to add the project to a new database.
Define, Build, and Push a Database for the Terrain Overlay
This exercise walks you through the process of defining, building, and pushing a database using the projects you created in the previous exercise.
To define, build, and push a database:
- In the Asset Manager click . The Database Editor appears with no projects selected.
- Click next to Terrain Project. The Open dialog appears.
- Navigate to the folder where you saved your terrain overlay project.
- Select the name of your terrain overlay project and click Open. The terrain overlay project appears next to Terrain Project in the Database Editor.
- Select File > Save.
- Navigate to the
/ASSET_ROOT/Databases
folder. - Enter a name for the database, and click Save. The name
of the database appears on the right when you select the
/ASSET_ROOT/Databases
folder in the asset navigation tree. - Right-click the name of your database and select Build from the context menu. Google Earth Enterprise Fusion builds the database.
- Right-click the name of your database and select Push from the context menu. The Push Database dialog appears.
- Click Push. Google Earth Enterprise Fusion runs the process of pushing the database to the Google Earth Enterprise Server, and displays a success message when it is done.
Publish a Database for the Terrain Overlay
This exercise walks you through the process of publishing the terrain overlay database.
To publish a database:
Access the Google Earth Enterprise Server Admin console in a browser window by going to
myserver.mydomainname.com/admin
, replacingmyserver
andmydomainname
with your server and domain.Sign in with the default credentials or the username and password assigned to you:
- Default username: geapacheuser
- Default password: geeadmin
Note
If you do not know your username and password, contact your Google Earth Enterprise Server System Administrator.
Click Databases to display the list of databases pushed to the server.
The name of your terrain overlay database is listed but not yet published.
A pushed database is appended to the list so you may need to click through to the last page of your database list to display it.
Check the box next to the name of your database. The Publish button appears.
Click the Publish button. The Publish dialog appears.
Accept the default Publish point and click Publish.
The Databases page now indicates the published status of your database.
Now you are ready to add your terrain overlay as a secondary database in Google Earth EC.
View the Database
After you publish the database, you can add the terrain overlay as a secondary database in Google Earth EC. You first connect to the primary database you want to add the terrain overlay to.
To add the terrain overlay database:
Launch Google Earth EC.
The Select Server dialog appears.
Specify the Publish point of the primary database you want to add the terrain overlay to by entering or selecting the URL or IP address of your server and database in the Server field. For example, the Publish point is
myserver.mydomainname.com/mydatabase
, wheremyserver
andmydomainname
are specific to your server.Click the Sign In button.
Warning
If you have logged in to this server with Google Earth EC previously, log out, clear your cache, and log back in. See Clearing the Google Earth EC cache.
Google Earth EC displays your database. The Layers panel shows any terrain, imagery, and vector layers in the database.
Select File > Add Database. The Select Server dialog appears.
Specify the Publish point of your terrain overlay database by entering or selecting the URL or IP address of your server and database in the Server field. For example, the Publish point is
myserver.mydomainname.com/myterrainoverlay
, wheremyserver
andmydomainname
are specific to your server.Click the Sign In button.
Google Earth EC adds the database. The Layers panel shows the secondary database.
Check the box next to Terrain to add the terrain overlay. Google Earth EC displays the terrain overlay on top of the existing database.
Learn more


JavaScript Object Notation (JSON) is a text format for the serialization of structured data.
It is derived from the object literals of JavaScript.
JSON can represent four primitive types (strings, numbers, booleans, and null) and two structured types (objects and arrays)
Here are four small JSON texts containing only values:
"Hello world!"
42
true
null
An object structure is represented as a pair of curly brackets surrounding zero or more name/value pairs (or members).
An object is an unordered collection of zero or more name/value pairs
A name is a string
A value is a string, number, boolean, null, object, or array.
Declare properties using name:value pairings separated by commas
Enclose names in curly braces
There is no trailing comma
This is a JSON object:
{ "Image": { "Width": 800, "Height": 600, "Title": "View from 15th Floor", "Thumbnail": { "Url": "http://www.example.com/image/481989943", "Height": 125, "Width": 100 }, "Animated" : false, "IDs": [116, 943, 234, 38793] } }
An array structure is represented as square brackets surrounding zero or more values (or elements).
Elements are separated by commas.
A value must be an
This is a JSON array containing two objects:
[ { "precision": "zip", "Latitude": 37.7668, "Longitude": -122.3959, "Address": "", "City": "SAN FRANCISCO", "State": "CA", "Zip": "94107", "Country": "US" }, { "precision": "zip", "Latitude": 37.371991, "Longitude": -122.026020, "Address": "", "City": "SUNNYVALE", "State": "CA", "Zip": "94085", "Country": "US" } ]
The representation of numbers is similar to that used in most programming languages. A number is represented in base 10 using decimal digits. It contains an integer component that may be prefixed with an optional minus sign, which may be followed by a fraction part and/or an exponent part. Leading zeros are not allowed. A fraction part is a decimal point followed by one or more digits.
The representation of strings is similar to conventions used in the C family of programming languages. A string begins and ends with quotation marks.


{% block title %}
{{ artist.name }}
{% endblock %}
{% include 'lastfm/includes/nav_tabs.html' with active='albums' artist=artist only %}
{% load ditto_lastfm %}
{% top_albums artist=artist limit='all' as albums %}
{% include 'lastfm/includes/chart.html' with chart_type='albums' object_list=albums include_artist=False only %}
{% include 'lastfm/includes/artist_sidebar.html' with artist=artist perms=perms only %}


{{'thank_you1' | i18next}}
{{'thank_you2' | i18next}}
{{'thank_you3' | i18next}}
{{'thank_you4' | i18next}} {{setup.email}}.


Class RoleConstants
Role Constants for built in roles
string |
SUPER_ADMIN
|
"Super Admin" |
#
Role given for a super user who can manage all aspects of the website |
string |
GUEST
|
"Guest" |
#
Role should be given for a public user who is not logged in |
string |
USER
|
"User" |
#
Role should be given for a logged in user |
string |
OWNER
|
"Owner" |
#
Role given for the owner of a permission resource such as blog post, medical record ,etc |


--- title: Aggregations ---
An aggregation is responsible for providing analysis of a larger dataset, to make it more manageable. While it would be possible to plot millions of samples in a single graph, it is simply not practical. Aggregations give the mean to further aggregate the samples stored in the database.
An aggregation can be defined either in JSON, or HQL. For each aggregation, both forms will be displayed below.
The size of an aggregation determines the frequency that data occurs in the resulting aggregation. So a size of two minutes would cause an aggregation to output a series that has a sample, every two minutes.
The extent of an aggregation determines how wide a single sample will load data in time. So an extent of one hour would cause each sample to be the result of aggregating the last hour of data.
Combining size and extent, we now have a flexible system for describing how to build a dataset suitable for plotting.
The following graphics represents what data will be sampled to generate the sample at point 2
.
The blue bar is the extent, and the red bar is the size.
The next point we'll sample for is 3
.
This applies the same principle as above.
{"type": "min", "sampling": {"unit": <unit>, "size": <number>, "extent": <number>}}
min(size=<duration>, extent=<duration>)
The min aggregation picks the smallest numerical value seen in the given extent.
{"type": "max", "sampling": {"unit": <unit>, "size": <number>, "extent": <number>}}
max(size=<duration>, extent=<duration>)
The max aggregation picks the largest numerical value seen in the given extent.
{"type": "average", "sampling": {"unit": <unit>, "size": <number>, "extent": <number>}}
average(size=<duration>, extent=<duration>)
The average aggregation takes all samples in a given extent, and calculates the average value over them.
{"type": "sum", "sampling": {"unit": <unit>, "size": <number>, "extent": <number>}}
sum(size=<duration>, extent=<duration>)
The sum aggregation sums the values of all points in a given extent.
{"type": "chain", "chain": [<aggregation>, ..]}
<aggregation> | ..
A chain aggregation applies the specified aggregations in order. The result of the first aggregation is fed into the second, and so forth.
{"type": "group", "of": [<string>, ..], "each": <aggregation>}
<aggregation> by *
<aggregation> by <string>
<aggregation> by [<string>, ..]
Takes a set of tags, and groups the sources which have the same values for those tags.
The result below is what would happen when grouping the data on the host tag.
Assume that the red points come from the host database1,
the green points come from the host api1,
and that the blue points come from the host load-balancer3
Group aggregations are special, they don't have a size or extent. Instead they can accept a child aggregation, which will be applied to every matching sub-group.
The below example is the average aggregation applied to each group.
{"type": "topk", "k": <number>}
{"type": "bottomk", "k": <number>}
{"type": "abovek", "k": <number>}
{"type": "belowk", "k": <number>}
topk(<number>)
bottomk(<number>)
abovek(<number>)
belowk(<number>)
These are a set of filtering aggregations. A filtering aggregation reduces the number of result groups according to some criteria.


Version 8 of the ICQ/OSCAR Protocol
Packets in family 23
All packets are SNACs.
| Ch 2 | SNAC(23,1) | SRV_REGREFUSED | |
| Ch 2 | SNAC(23,4) | CLI_REGISTERUSER | |
| Ch 2 | SNAC(23,5) | SRV_NEWUIN |
All packets are SNACs.
| Ch 2 | SNAC(23,1) | SRV_REGREFUSED | |
| Ch 2 | SNAC(23,4) | CLI_REGISTERUSER | |
| Ch 2 | SNAC(23,5) | SRV_NEWUIN |


About Me
Now I am a second year graduate student of College of Computer Science and Technology in Nanjing University of Aeronautics and Astronautics as well as a member of ParNec Group.
I received my B.Sc. degree in College of Computer Science and Technology in June 2018 from Nanjing University of Aeronautics and Astronautics. In the same year, I was admitted to study for a M.Sc. degree in Nanjing University of Aeronautics and Astronautics without entrance examination, under the supervision of Prof. Daoqiang Zhang.
Research Interest
- Computer Vision: image reconstruction, super-resolution, denoise.
- Adversarial: GAN, Adversarial attck and defence.
Intership Experience
- Arcsoft NJ 2019.11 ~
Computer Vision.
- Trendmicro NJ 2017.8 ~ 2017.12
Machine Leanring.
Publications
- SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction
Zhongnian Li, Tao Zhang , Peng Wang and Daoqiang Zhang
In: Proceedings of the 33nd AAAI Conference on Artificial Intelligence (AAAI'19), 2019.
[preprint]
Personal Interests


| Application approved | 10:39am on 5 January 2017 |
| Joined processing queue | 10:39am on 5 January 2017 |
| Old passport received | 10:39am on 5 January 2017 |
| Application submitted | 10:38am on 5 January 2017 |
{{< layout}}
{{$pageTitle}}Track a passport application{{/pageTitle}}
{{$content}}
We'll see you at your collection appointment.Application approved
Remember to take your old passport to your collection appointment. You won't be able to use it on the day of your appointment.
It usually takes 30 minutes to get your new passport. Don't arrive any earlier than 10 minutes before your collection appointment.
Thursday, 6 April 2017 at 1:00pm
London HM Passport Office Globe House 89 Eccleston Square London SW1V 1PN
You must take your old passport with you.
| Application approved | 10:39am on 5 January 2017 |
| Joined processing queue | 10:39am on 5 January 2017 |
| Old passport received | 10:39am on 5 January 2017 |
| Application submitted | 10:38am on 5 January 2017 |
Other statuses:


An example of using multiple threads to render the globe through ray-tracing.
Note: the C++ source code of this demo is available in the Native Client SDK (examples/demo/earth).
FPS: 0
| Thread Count: | |
| Zoom: | |
| Light: |
Image Credit:
NASA Goddard Space Flight Center Image by Reto Stöckli (land
surface, shallow water, clouds). Enhancements by Robert Simmon
(ocean color, compositing, 3D globes, animation).
Data and technical support: MODIS Land Group; MODIS Science Data,
Support Team; MODIS Atmosphere Group; MODIS Ocean Group Additional
data: USGS EROS Data Center (topography); USGS Terrestrial Remote
Sensing Flagstaff Field Center (Antarctica); Defense Meteorological
Satellite Program (city lights).


29 April 1999
Disease Outbreak Reported
A joint investigation by WHO, the Centers for Disease Control (CDC) and Operation Lifeline Sudan (OLS) identified relapsing fever as the cause of fever of unknown origin in Rumbek county, southern Sudan.
Six patients from 3 different locations were tested positive for Borrelia sp. by microscopy in the field. While the number of cases of relapsing fever was found to be declining, the disease is still occurring in small clusters throughout the county. Disease activity may continue in the area leading to further large outbreaks if there are gatherings of large numbers of people with poor hygiene facilities.
The investigation team and the local authority have launched a control programme including: training of local health workers in diagnosis, treatment and delousing techniques; strengthening the surveillance system; co-ordinating epidemic response; and securing adequate supplies of erythromycin and permethrin delousing powder. An action plan for improved epidemic preparedness, detection and response has been proposed.


DevCon 2016 Word Cloud
Every year we hold an internal developers conference called DevCon. This year we had 295 submissions for talks, ranging from a deep technical dive into the inner workings of Kafka to a reflection on the power of office pranks. I wondered what, if anything, do these submissions have in common? Are there any common themes/topics being discussed? To find out I decided to visualize the talk submissions in a word cloud to create an easily understandable (and hopefully aesthetically pleasing) view of what topics were most common.
The first step was some basic data cleaning so I could get a good set of words to visualize. I used Python to read in the submissions into a single string, lowercase all words, and then remove all common contractions.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 |
|
At this point I had 32,987 total words. A word cloud of this dataset was too noisy, predominated by common words like “the” and “talk”. In natural language processing these unwanted common words are called “stop words”. To remove them I made a list out of the submissions and then only kept words that were not in a list of common English words, supplemented by words specific to this data set, such as “Cerner” and “presentation”.
1 2 3 4 5 6 7 |
|
This left me with a list of 14,291 words and 4,264 distinct words. When visualized I noticed many similar words were taking the highest spots, such as “team” and “teams” or “technology” and “technologies”. To remove some of this noise I turned to lemmatization. Lemmatization is the process of finding a canonical representation of a word, i.e. its lemma. For example, the lemma for the words “runs” and “running” is run. I used the popular Python library Natural Language Toolkit for lemmatization.
1 2 3 4 5 |
|
This reduced the dataset to 3,834 distinct words. Now that the dataset was cleaned, common words filtered out, and similar words combined it was time to create the word cloud using a project called word_cloud.
1 2 3 4 5 6 7 8 9 10 |
|
Success! It is obvious what some of the most common themes are, such as “data” and “team”. Possible future steps for cleaning up the data would be grouping noun phrases, such as “software engineer” into single words or possibly removing common spelling mistakes using a spell checking library like PyEnchant.
You can checkout the full code on Github.


| Name: {{patient.name}} | Age / Sex: {{patient.birthdate | dateToAge:visit.dateStarted}} / {{patient.gender}} | |
| Registration No. {{patient.identifier}} | Village / Town: {{patient.address.cityVillage}} | P.O. {{patient.address.address2}} |
| Visit Date: {{visitDate | date: 'dd MMM yy'}} |


Interface used to delay activate a configured object.
For a list of all members of this type, see IOptionHandler Members.
log4net.Core.IOptionHandler
log4net.Filter.IFilter
| Type | Description |
|---|---|
| AdoNetAppender | Appender that logs to a database. |
| AnsiColorTerminalAppender | Appends logging events to the terminal using ANSI color escape sequences. |
| AnsiColorTerminalAppender.LevelColors | A class to act as a mapping between the level that a logging call is made at and the color it should be displayed as. |
| AppenderSkeleton | Abstract base class implementation of IAppender. |
| AspNetTraceAppender |
Appends log events to the ASP.NET TraceContext system. |
| BufferingAppenderSkeleton | Abstract base class implementation of IAppender that buffers events in a fixed size buffer. |
| BufferingForwardingAppender | Buffers events and then forwards them to attached appenders. |
| ColoredConsoleAppender | Appends logging events to the console. |
| ColoredConsoleAppender.LevelColors | A class to act as a mapping between the level that a logging call is made at and the color it should be displayed as. |
| ConsoleAppender | Appends logging events to the console. |
| DebugAppender | Appends log events to the Debug system. |
| EventLogAppender | Writes events to the system event log. |
| EventLogAppender.Level2EventLogEntryType | A class to act as a mapping between the level that a logging call is made at and the color it should be displayed as. |
| FileAppender | Appends logging events to a file. |
| ForwardingAppender | This appender forwards logging events to attached appenders. |
| LocalSyslogAppender | Logs events to a local syslog service. |
| LocalSyslogAppender.LevelSeverity | A class to act as a mapping between the level that a logging call is made at and the syslog severity that is should be logged at. |
| MemoryAppender | Stores logging events in an array. |
| NetSendAppender | Logs entries by sending network messages using the NetMessageBufferSend native function. |
| OutputDebugStringAppender | Appends log events to the OutputDebugString system. |
| RemoteSyslogAppender | Logs events to a remote syslog daemon. |
| RemoteSyslogAppender.LevelSeverity | A class to act as a mapping between the level that a logging call is made at and the syslog severity that is should be logged at. |
| RemotingAppender | Delivers logging events to a remote logging sink. |
| RollingFileAppender | Appender that rolls log files based on size or date or both. |
| SmtpAppender | Send an e-mail when a specific logging event occurs, typically on errors or fatal errors. |
| SmtpPickupDirAppender | Send an email when a specific logging event occurs, typically on errors or fatal errors. Rather than sending via smtp it writes a file into the directory specified by PickupDir. This allows services such as the IIS SMTP agent to manage sending the messages. |
| TelnetAppender | Appender that allows clients to connect via Telnet to receive log messages |
| TextWriterAppender | Sends logging events to a TextWriter. |
| TraceAppender | Appends log events to the Trace system. |
| UdpAppender | Sends logging events as connectionless UDP datagrams to a remote host or a multicast group using an UdpClient. |
| DenyAllFilter | This filter drops all LoggingEvent. |
| FilterSkeleton | Subclass this type to implement customized logging event filtering |
| LevelMatchFilter | This is a very simple filter based on Level matching. |
| LevelRangeFilter | This is a simple filter based on Level matching. |
| LoggerMatchFilter | Simple filter to match a string in the event's logger name. |
| MdcFilter | Simple filter to match a keyed string in the MDC |
| NdcFilter | Simple filter to match a string in the NDC |
| PropertyFilter | Simple filter to match a string an event property |
| StringMatchFilter | Simple filter to match a string in the rendered message |
| ExceptionLayout | A Layout that renders only the Exception text from the logging event |
| LayoutSkeleton | Extend this abstract class to create your own log layout format. |
| PatternLayout | A flexible layout configurable with pattern string. |
| SimpleLayout | A very simple layout |
| XmlLayout | Layout that formats the log events as XML elements. |
| XmlLayoutBase | Layout that formats the log events as XML elements. |
| XmlLayoutSchemaLog4j | Layout that formats the log events as XML elements compatible with the log4j schema |
| LevelMapping | Manages a mapping from levels to LevelMappingEntry |
| LevelMappingEntry | An entry in the LevelMapping |
| PatternString | This class implements a patterned string. |
| WindowsSecurityContext | Impersonate a Windows Account |
This allows an object to defer activation of its options until all options have been set. This is required for components which have related options that remain ambiguous until all are set.
If a component implements this interface then the ActivateOptions method must be called by the container after its all the configured properties have been set and before the component can be used.
Namespace: log4net.Core
Assembly: log4net (in log4net.dll)
IOptionHandler Members | log4net.Core Namespace


chrome.nfc API sample
Device
Read
Read NDEF Tag
Read/Write ENG1003 URI to Tag
Scan Device
Name
Vendor ID
Product ID
Run
Enter tag number:
Run
Tags scanned:
Place device on reader for scanning then click scan device.
Scan Device


Note 1 : Recommended statistics for this type of classification highlighted in aqua
Note 2 : The recommender system assumes that the input is the result of classification over the whole data rather than just a part of it. If the confusion matrix is the result of test data classification, the recommendation is not valid.
| Actual | Predict
|
| Class | External_Auditory_Canal | Feces | Hair | Nostril | Oral_Cavity | Skin | Description |
| ACC | 0.99485 | 0.99953 | 0.99064 | 0.99438 | 0.99953 | 0.98268 | Accuracy |
| AGF | 0.98917 | 0.99966 | 0.99127 | 0.99496 | 0.99966 | 0.95528 | Adjusted F-score |
| AGM | 0.99298 | 0.99959 | 0.99111 | 0.99474 | 0.99959 | 0.9733 | Adjusted geometric mean |
| AM | -3 | 1 | 16 | 10 | 1 | -25 | Difference between automatic and manual classification |
| AUC | 0.98904 | 0.99972 | 0.99213 | 0.99551 | 0.99972 | 0.95478 | Area under the ROC curve |
| AUCI | Excellent | Excellent | Excellent | Excellent | Excellent | Excellent | AUC value interpretation |
| AUPR | 0.9845 | 0.9986 | 0.973 | 0.98357 | 0.9986 | 0.9474 | Area under the PR curve |
| BCD | 0.0007 | 0.00023 | 0.00375 | 0.00234 | 0.00023 | 0.00585 | Bray-Curtis dissimilarity |
| BM | 0.97809 | 0.99944 | 0.98427 | 0.99101 | 0.99944 | 0.90955 | Informedness or bookmaker informedness |
| CEN | 0.03542 | 0.004 | 0.05245 | 0.03164 | 0.004 | 0.10629 | Confusion entropy |
| DOR | 22136.57143 | None | 17326.33333 | 57090.45455 | None | 3099.73118 | Diagnostic odds ratio |
| DP | 2.39558 | None | 2.33692 | 2.62243 | None | 1.92487 | Discriminant power |
| DPI | Fair | None | Fair | Fair | None | Limited | Discriminant power interpretation |
| ERR | 0.00515 | 0.00047 | 0.00936 | 0.00562 | 0.00047 | 0.01732 | Error rate |
| F0.5 | 0.98699 | 0.99776 | 0.95987 | 0.97527 | 0.99776 | 0.96726 | F0.5 score |
| F1 | 0.98449 | 0.9986 | 0.97253 | 0.98338 | 0.9986 | 0.94614 | F1 score - harmonic mean of precision and sensitivity |
| F2 | 0.98199 | 0.99944 | 0.98552 | 0.99162 | 0.99944 | 0.92593 | F2 score |
| FDR | 0.01133 | 0.0028 | 0.04839 | 0.03005 | 0.0028 | 0.01813 | False discovery rate |
| FN | 7 | 0 | 2 | 1 | 0 | 31 | False negative/miss/type 2 error |
| FNR | 0.01966 | 0.0 | 0.00562 | 0.00281 | 0.0 | 0.08708 | Miss rate or false negative rate |
| FOR | 0.00393 | 0.0 | 0.00113 | 0.00056 | 0.0 | 0.01717 | False omission rate |
| FP | 4 | 1 | 18 | 11 | 1 | 6 | False positive/type 1 error/false alarm |
| FPR | 0.00225 | 0.00056 | 0.01011 | 0.00618 | 0.00056 | 0.00337 | Fall-out or false positive rate |
| G | 0.98449 | 0.9986 | 0.97276 | 0.98347 | 0.9986 | 0.94677 | G-measure geometric mean of precision and sensitivity |
| GI | 0.97809 | 0.99944 | 0.98427 | 0.99101 | 0.99944 | 0.90955 | Gini index |
| GM | 0.98901 | 0.99972 | 0.99213 | 0.9955 | 0.99972 | 0.95386 | G-mean geometric mean of specificity and sensitivity |
| IBA | 0.9611 | 1.0 | 0.98875 | 0.99437 | 1.0 | 0.83368 | Index of balanced accuracy |
| IS | 2.56852 | 2.58092 | 2.51341 | 2.54094 | 2.58092 | 2.55857 | Information score |
| J | 0.96944 | 0.9972 | 0.94652 | 0.9673 | 0.9972 | 0.89779 | Jaccard index |
| LS | 5.93201 | 5.98319 | 5.70968 | 5.81967 | 5.98319 | 5.89124 | Lift score |
| MCC | 0.98141 | 0.99832 | 0.96723 | 0.98014 | 0.99832 | 0.93672 | Matthews correlation coefficient |
| MCCI | Very Strong | Very Strong | Very Strong | Very Strong | Very Strong | Very Strong | Matthews correlation coefficient interpretation |
| MCEN | 0.06075 | 0.00715 | 0.08663 | 0.05264 | 0.00715 | 0.17329 | Modified confusion entropy |
| MK | 0.98474 | 0.9972 | 0.95048 | 0.96938 | 0.9972 | 0.9647 | Markedness |
| N | 1780 | 1780 | 1780 | 1780 | 1780 | 1780 | Condition negative |
| NLR | 0.01971 | 0.0 | 0.00568 | 0.00283 | 0.0 | 0.08737 | Negative likelihood ratio |
| NLRI | Good | Good | Good | Good | Good | Good | Negative likelihood ratio interpretation |
| NPV | 0.99607 | 1.0 | 0.99887 | 0.99944 | 1.0 | 0.98283 | Negative predictive value |
| OC | 0.98867 | 1.0 | 0.99438 | 0.99719 | 1.0 | 0.98187 | Overlap coefficient |
| OOC | 0.98449 | 0.9986 | 0.97276 | 0.98347 | 0.9986 | 0.94677 | Otsuka-Ochiai coefficient |
| OP | 0.98605 | 0.99925 | 0.98837 | 0.99269 | 0.99925 | 0.93884 | Optimized precision |
| P | 356 | 356 | 356 | 356 | 356 | 356 | Condition positive or support |
| PLR | 436.25 | 1780.0 | 98.33333 | 161.36364 | 1780.0 | 270.83333 | Positive likelihood ratio |
| PLRI | Good | Good | Good | Good | Good | Good | Positive likelihood ratio interpretation |
| POP | 2136 | 2136 | 2136 | 2136 | 2136 | 2136 | Population |
| PPV | 0.98867 | 0.9972 | 0.95161 | 0.96995 | 0.9972 | 0.98187 | Precision or positive predictive value |
| PRE | 0.16667 | 0.16667 | 0.16667 | 0.16667 | 0.16667 | 0.16667 | Prevalence |
| Q | 0.99991 | None | 0.99988 | 0.99996 | None | 0.99935 | Yule Q - coefficient of colligation |
| RACC | 0.02754 | 0.02786 | 0.02903 | 0.02856 | 0.02786 | 0.02583 | Random accuracy |
| RACCU | 0.02754 | 0.02786 | 0.02904 | 0.02856 | 0.02786 | 0.02586 | Random accuracy unbiased |
| TN | 1776 | 1779 | 1762 | 1769 | 1779 | 1774 | True negative/correct rejection |
| TNR | 0.99775 | 0.99944 | 0.98989 | 0.99382 | 0.99944 | 0.99663 | Specificity or true negative rate |
| TON | 1783 | 1779 | 1764 | 1770 | 1779 | 1805 | Test outcome negative |
| TOP | 353 | 357 | 372 | 366 | 357 | 331 | Test outcome positive |
| TP | 349 | 356 | 354 | 355 | 356 | 325 | True positive/hit |
| TPR | 0.98034 | 1.0 | 0.99438 | 0.99719 | 1.0 | 0.91292 | Sensitivity, recall, hit rate, or true positive rate |
| Y | 0.97809 | 0.99944 | 0.98427 | 0.99101 | 0.99944 | 0.90955 | Youden index |
| dInd | 0.01979 | 0.00056 | 0.01157 | 0.00679 | 0.00056 | 0.08714 | Distance index |
| sInd | 0.98601 | 0.9996 | 0.99182 | 0.9952 | 0.9996 | 0.93838 | Similarity index |
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