An extension to Python-Markdown that adds WikiLinks. Specifically, any
[[bracketed]]
word is converted to a link.
This extension has been included in the Markdown library since 2.0.
A [[bracketed]]
word is any combination of upper or lower case letters,
number, dashes, underscores and spaces surrounded by double brackets. Therefore
[[Bracketed]]
Would produce the following html:
Bracketed
Note that wikilinks are automatically assigned class="wikilink"
making it
easy to style wikilinks differently from other links on a page if one so
desires. See below for ways to alter the class.
You should also note that when a space is used, the space is converted to an underscore in the link but left as-is in the label. Perhaps an example would illustrate this best:
[[Wiki Link]]
Becomes
Wiki Link
From the Python interpreter:
>>> text = "Some text with a [[WikiLink]]."
>>> html = markdown.markdown(text, ['wikilink'])
The default behavior is to point each link to the document root of the current
domain and close with a trailing slash. Additionally, each link is assigned to
the html class wikilink
. This may not always be desirable. Therefore, one can
customize that behavior within Python code. Three settings are provided to
change the default behavior:
base_url: String to append to beginning of URL.
Default: '/'
end_url: String to append to end of URL.
Default: '/'
html_class: CSS hook. Leave blank for none.
Default: 'wikilink'
build_url: Callable which formats the URL from it's parts.
For an example, let us suppose links should always point to the subdirectory
/wiki/
and end with .html
>>> html = markdown.markdown(text,
... ['wikilink(base_url=/wiki/,end_url=.html)']
... )
The above would result in the following link for [[WikiLink]]
.
WikiLink
If you want to do more that just alter the base and/or end of the URL, you
could also pass in a callable which must accept three arguments (label
,
base
, and end
). The callable must return the URL in it's entirety.
def my_url_builder(label, base, end):
# do stuff
return url
md = markdown.Markdown(
extensions=['wikilinks],
extension_configs={'wikilinks' : [('build_url', my_url_builder)]}
)
The option is also provided to change or remove the class attribute.
>>> html = markdown.markdown(text,
... ['wikilink(base_url=myclass)']
... )
Would cause all wikilinks to be assigned to the class myclass
.
WikiLink
The same options can be used on the command line as well:
python markdown.py -x wikilink(base_url=http://example.com/,end_url=.html,html_class=foo) src.txt
Some may prefer the more complex format when calling the Markdown
class directly:
>>> md = markdown.Markdown(
... extensions = ['wikilink'],
... extension_configs = {'wikilink': [
... ('base_url', 'http://example.com/'),
... ('end_url', '.html'),
... ('html_class', '') ]},
... safe_mode = True
... )
>>> html = md.convert(text)
The WikiLink Extension also supports the Meta-Data Extension. Please see the documentation for that extension for specifics. The supported meta-data keywords are:
wiki_base_url
wiki_end_url
wiki_html_class
When used, the meta-data will override the settings provided through the
extension_configs
interface.
This document:
wiki_base_url: http://example.com/
wiki_end_url: .html
wiki_html_class:
A [[WikiLink]] in the first paragraph.
would result in the following output (notice the blank wiki_html_class
):

A WikiLink in the first paragraph.


{% extends "layout_bsa.html" %} {% block page_title %} Help paying for NHS Costs prototype {% endblock %} {% block content %} Back How much profit will you make? Tell us how much profit you expect to make from self-employment between 6 April 2016 and 5 April 2017. £ Continue {% endblock %}
Tell us how much profit you expect to make from self-employment between 6 April 2016 and 5 April 2017.


This class contains some classes that can be used when you want to quickly test a drivetrain without writing a whole Subsystem for it.
| DifferentialDrive |
class DifferentialDrive : RobotDriveBase
A class for driving differential drive robots. Differential drive is also known as tank drive, skid-steer, and more. |
| RobotDriveBase |
abstract class RobotDriveBase : Any |
| Vector2D |
class Vector2D : Any
A 2D Vector struct that supports basic vector operations. |


This is a Google Wave robot using Rave running in JRuby. Use this robot in your Google Waves by adding<EMAIL_ADDRESS>as a participant


Class: RubyMotionQuery::App
Class Method Summary (collapse)
-
+ (UIViewController) current_view_controller(root_view_controller = nil)
Returns the current view controller in the app.
- + (UIApplicationDelegate) delegate
-
+ (Boolean) development?
True if the app is running in the :development environment.
-
+ (String) document_path
Full path of the document folder.
-
+ (Symbol) environment
Environment the app is running it.
-
+ (String) identifier
Identifier of app.
-
+ (String) name
Name of app.
-
+ (Boolean) release?
(also: production?)
True if the app is running in the :release environment.
-
+ (String) resource_path
Full path of the resources folder.
-
+ (Boolean) test?
True if the app is running in the :test environment.
-
+ (String) version
Version.
- + (UIWindow) window
Class Method Details
+ (UIViewController) current_view_controller(root_view_controller = nil)
Returns the current view controller in the app. If the current controller is a tab or navigation controller, then it gets the current tab or topmost controller in the nav.
This mostly works... mostly. As there really isn't a "current view_controller"
79 80 81 82 83 84 85 86 87 88 89 90 |
# File 'motion/ruby_motion_query/app.rb', line 79 def current_view_controller(root_view_controller = nil) if root_view_controller || ((window = RMQ.app.window) && (root_view_controller = window.rootViewController)) case root_view_controller when UINavigationController root_view_controller.visibleViewController when UITabBarController current_view_controller(root_view_controller.selectedViewController) else root_view_controller end end end |
+ (UIApplicationDelegate) delegate
23 24 25 |
# File 'motion/ruby_motion_query/app.rb', line 23 def delegate UIApplication.sharedApplication.delegate end |
+ (Boolean) development?
Returns true if the app is running in the :development environment
44 45 46 |
# File 'motion/ruby_motion_query/app.rb', line 44 def development? environment == :development end |
+ (String) document_path
Returns Full path of the document folder
69 70 71 |
# File 'motion/ruby_motion_query/app.rb', line 69 def document_path NSSearchPathForDirectoriesInDomains(NSDocumentDirectory, NSUserDomainMask, true)[0] end |
+ (Symbol) environment
Returns Environment the app is running it
28 29 30 |
# File 'motion/ruby_motion_query/app.rb', line 28 def environment RUBYMOTION_ENV.to_sym end |
+ (String) identifier
Returns Identifier of app
59 60 61 |
# File 'motion/ruby_motion_query/app.rb', line 59 def identifier NSBundle.mainBundle.bundleIdentifier end |
+ (String) name
Returns Name of app
54 55 56 |
# File 'motion/ruby_motion_query/app.rb', line 54 def name NSBundle.mainBundle.objectForInfoDictionaryKey 'CFBundleDisplayName' end |
+ (Boolean) release? Also known as: production?
Returns true if the app is running in the :release environment
33 34 35 |
# File 'motion/ruby_motion_query/app.rb', line 33 def release? environment == :release end |
+ (String) resource_path
Returns Full path of the resources folder
64 65 66 |
# File 'motion/ruby_motion_query/app.rb', line 64 def resource_path NSBundle.mainBundle.resourcePath end |
+ (Boolean) test?
Returns true if the app is running in the :test environment
39 40 41 |
# File 'motion/ruby_motion_query/app.rb', line 39 def test? environment == :test end |
+ (String) version
Returns Version
49 50 51 |
# File 'motion/ruby_motion_query/app.rb', line 49 def version NSBundle.mainBundle.infoDictionary['CFBundleVersion'] end |
+ (UIWindow) window
18 19 20 |
# File 'motion/ruby_motion_query/app.rb', line 18 def window UIApplication.sharedApplication.keyWindow || UIApplication.sharedApplication.windows[0] end |


After Tableau Desktop the next most commonly used application on my computer is probably Notepad++. I use Notepad++ to take notes, edit HTML and XML files and to have a larger screen to review the logic from Tableau Calculated fields. I often get asked to help figure out why a calculated field is not producing the desired result. Sometimes, it's not feasible to review multi-line logic in Tableau, so I leverage Notepad++ for a larger window and some additional help...MORE
Disregarding the difficulty in visualizing a spherical representation or Earth on a flat screen, when we look at a map of the United States (or any map), the projection looks 'correct' to us because of the aspect ratio. The same goes for some types of data visualizations. If you struggle with manipulating axes and worksheet sizes when creating a dashboard, I've got a quick tip for you...MORE
On Thursday of this week, I published my 100th (visible) Tableau Public visualization. Over the course of creating these vizzes, I’m sure I’ve invested well over 300 hours of effort. That leads to the question of why...MORE
In 2018, I made a concerted focus on pushing myself to be more active in the Tableau Community. In all honesty, this ‘resolution’ was a holdover from attending my first Tableau Conference in October 2017. I set some very modest goals, and am pretty pleased with the results...MORE
I've had several people ask me where I get the inspiration for the vizzes that I publish to Tableau Public. The answer is easy, as well as complicated. Each viz that I create is a sum of many parts - distilled down to the basic three, there are the dataset, the data story and most obviously the visual. While all interconnected, I draw from different sources for the inspiration for these three pieces. This is the first of a series of three posts delving into where I find my inspiration - let's dive into the People of Tableau, or where I get my 'vizspiration' for my visuals....MORE
Over the past few weeks, I’ve had multiple ancillary conversations with friends about time and how we use it. The first was on a walk from my hotel to the convention center during Tableau Conference. A friend and I were discussing the new Screen Time feature in iOS 12.0 that tracks and conveniently displays how much time the user has spent on his or her iPhone. He mentioned that the results and insights were both shocking and slightly depressing at the same time. Fortunately, he’d used that data to make some changes in his life, and was happy with the results to date. After making a mental note that I probably needed to review my usage too, I filed the conversation away...MORE
On Friday, November 2, I received a notification on my phone that I’d been tagged in a tweet by Tableau Public. I tapped on the alert and was super excited to see that my viz looking at the most common last names in the United States had been selected as the Viz of the Day. In addition to my excitement, I also had a bit of a “Wow, I can’t believe they chose that" moment...MORE
I've been home from TC18 just over a week, and came back full of energy and enthusiasm to continue building my online Tableau presence. This is similar to how I felt after attending my first conference in 2017, but now I’ve got a base to build upon. In 2017, I returned home excited about the Tableau Community and how open and helpful the community is. With that in mind, I set out with the goal to become a part of that community...MORE


We are a group of readers who love getting together to eat, drink, and discuss books, politics, parenting, and everything else.
Our reading tastes vary from non-fiction to young adult, fantasy to reality, sci-fi to just plain fi. We've read some good books, and we've read some stinkers.
There's always at least one person that didn't read the book. It's not ALWAYS the same person...
Book Club Babies:
- Lucy
- Audrey
- Lucille
- Jules
- Sammy
- Adeline
- Mia
- Pre Club Kiddos - Asia, Alyssa, Calen, and Brayden


Supervised learning is the task of figuring out how to guess the output from a given input based on previously seen pairings of output and input. For example, given 1000 photographs labeled as either pictures of cats or dogs, can we build an algorithm to assign the label "cat" or "dog" to new photographs of unknown subject matter? Here are some other examples of supervised learning problems:
- predicting tomorrow's temperature given today's weather, based on prior weather data
- predicting which future patients will develop diabetes, based on data on past diabetic and non-diabetic patients
- labeling emails as either spam or not spam based on a database of spam and non-spam emails
Let's say we observe 1000 patients in a hospital, each of whom has measurements of their pre-treatment blood pressure, heart rate, etc. and also their corresponding blood pressure after taking a drug. We'll call this our training data. For a new patient who walks in the door, given their current vital signs, can we predict their post-treatment blood pressure?
Data
We'll use a subscript $i$ to refer to data about the $i$th patient. So, for example, if $z$ were some measurement we made on all patients, $z_i$ would be the value of that measurement for the $i$th patient. The patient in our example is what we call the unit of observation. But if we were talking about classifying photographs as having cats or not having cats in them, the unit of observation would be the photographs. So, in general, the subscript $i$ refers to the $i$th observation in the dataset, which could be a patient, a photograph, a credit card transaction, etc.
The total number of observations in our data is usually called $n$, so $i$ could stand for any number between 1 and $n$. A shorter way to write that is $i \in \{1, 2, \dots n\}$. You can read $\in$ as "in", so this says "$i$ is a number in the set of numbers that includes 1, 2, ... all the way up to $n$". We'll use that notation for other things as well.
We usually use the variable $y$ to refer to the measurement we are trying to predict, which is in this case the patient's post-treatment blood pressure. You'll most often see $y$ called the target, label, or outcome. Using our observation subscripts, $y_1$ would be the first patient's post-treatment blood pressure, $y_2$ would be the second patient's blood pressure, etc.
We can do the same thing for the other measurements, which are called predictors, features, or covariates. We could use different letters for each predictor, e.g. pre-treatment blood pressure would be $z$, pre-treatment heart rate would be $x$, but the standard practice is to call them all "$x$", but subscript them with an index $j$ (different than the index $i$ that refers to the unit of observation). So, in our example, we'll say $x_{i1}$ is patient $i$'s pre-treatment blood pressure, $x_{i2}$ is their pre-treatment heart rate, etc. We will use $p$ to refer to the number of predictors we have for each observation, so $j \in \{1 \dots p\}$. We'll use $x_i$ to refer to a list of all of the features for observation $i$:
$$ x_i = \left[ \begin{array}{cccc} x_{i1} & x_{i2} & \cdots & x_{ip} \end{array} \right] $$Now each observation is decribed by its target $y_i$ and its vector of predictors $x_i$. We stack these measurements together into lists of outcomes and predictors so we can refer to all of them at once:
$$ X = \left[ \begin{array}{c} x_1 \\ x_2 \\ \vdots \\ x_n \end{array} \right] = \left[ \begin{array}{cccc} x_{11} & x_{12} & \cdots & x_{1p} \\ x_{21} & x_{22} & \cdots & x_{2p} \\ \vdots & & \ddots & \vdots \\ x_{n1} & x_{n2} & \cdots & x_{np} \end{array} \right] \quad Y = \left[ \begin{array}{c} y_1 \\ y_2 \\ \vdots \\ y_n \end{array} \right] $$You may recall that ordered lists of numbers are also called vectors, and a list of lists of numbers (like $X$) can be written as a matrix. These are the terms we'll use going forward.
Note that each column of $X$ (which we'll call $x_{:j}$) is a vector that contains every measurement of the $j$th feature.
# Exercise with a supervised learning example- what are the xs and ys, unit of obs, etc.
# example in a pandas dataframe, etc.
Now we can formalize our learning problem in the abstract. All the measurements for the existing patients are contained in the matrix of predictors $X$ and the vector of targets $Y$. A new patient walks in the door (patient #$n+1$), and we measure all their predictors $x$. What we don't observe, but want to estimate, is the value of their target, $y$.
One way to approach this problem is to solve it manually. For instance, we could write up a program based on our knowledge of how blood pressure changes in response to drugs to make a prediction. It might look something like this:
def predict(x)
prev_blood_pressure, age, ... = x
if age < 16:
y = 120
if prev_blood_pressure > 150:
y = 1.1*prev_blood_pressure
...
return y
The problem with this is that it assumes we already know how to predict future blood pressure given what we know. But what if we have no idea how the features can be used to predict future blood pressure? Or what if we have a vague idea, but don't know if our prediction is really the best that we could hope for? What would be ideal is if a computer could analyze the data we already have and then write the predict()
code for us.
The process of building a model that can produce estimates of $y$ given $x$ based on the measurements in the training data $X$ and $Y$ is often called fitting or learning the model. What you get out of that process is a rule, or an algorithm, that associates a value $y$ for each possible $x$ you feed to it (basically, the predict()
function). That rule is sometimes called the fit model or the prediction rule.
# example with sklearn:
X, Y = load_and_process_data()
model = learn(X,Y)
y_predicted = model.predict(x_new)
But that's only half of the challenge. It's actually pretty easy to come up with a model. For instance, a dumb model for the blood pressure prediction problem might be to always predict $y=120$, no matter what $x$ is.
def predict(x):
return 120


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William ShakespearePreserved oh so difficult repulsive on in household. In what do miss time be. Valley as be appear cannot so by. Convinced resembled dependent remainder led. Valley as be appear cannot so by. Convinced resembled dependent remainder led.
Preserved oh so difficult repulsive on in household. In what do miss time be. Valley as be appear cannot so by. Convinced resembled dependent remainder led. Valley as be appear cannot so by. Convinced resembled dependent remainder led.
Preserved oh so difficult repulsive on in household. In what do miss time be. Valley as be appear cannot so by. Convinced resembled dependent remainder led. Valley as be appear cannot so by. Convinced resembled dependent remainder led.


Sorry folks! Your browser doesnot supports HTML5 Either update you browser or Download latest Firefox


You must make 2 of the following assignments on the laser.
I created a box with the laser cutter by cutting out squares to then later glue them together to make a box I created A coaster made out OF slate where I engraved the Gaelic tree of life I also created a glass with my family Celtic knot and Gaelic words which read "Family forever"


Module pyatv.const
Constants used in the public API.
Classes
class DeviceModel (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
Hardware device model.
Gen2-Gen4K are Apple TV model names and will be renamed to AppleTVGenX in the future.
Ancestors
- enum.Enum
Class variables
var AirPortExpress
-
Device model is AirPort Express (first generation).
var AirPortExpressGen2
-
Device model is AirPort Express (second generation).
var AppleTV4KGen2
-
Device model is sixth generation Apple TV (Apple TV 4K gen 2).
var AppleTV4KGen3
-
Device model is seventh generation Apple TV (Apple TV 4K gen 3).
var Gen2
-
Device model is second generation Apple TV (Apple TV 2).
var Gen3
-
Device model is third generation Apple TV (Apple TV 3).
var Gen4
-
Device model is fourth generation Apple TV (Apple TV 4).
var Gen4K
-
Device model is fifth generation Apple TV (Apple TV 4K).
var HomePod
-
Device model is HomePod (first generation).
var HomePodGen2
-
Device model is HomePod (second generation).
var HomePodMini
-
Device model is HomePod Mini (first generation).
var Music
-
Music app (or iTunes) running on a desktop computer.
var Unknown
-
Device model is unknown.
class DeviceState (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
All supported device states.
Ancestors
- enum.Enum
Class variables
var Idle
-
Device is idling, i.e. nothing is playing or about to play.
var Loading
-
Media is being loaded but not yet playing.
var Paused
-
Media is in paused state.
var Playing
-
Media is playing.
var Seeking
-
Media is seeking, e.g fast forward.
var Stopped
-
Media is stopped.
class FeatureName (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
All supported features.
Ancestors
- enum.Enum
Class variables
var AccountList
-
List of user accounts.
var AddOutputDevices
-
Add output devices.
var Album
-
Album from playing artist.
var App
-
App playing media.
var AppList
-
List of launchable apps.
var Artist
-
Artist of playing song.
var Artwork
-
Playing media artwork.
var ChannelDown
-
Select previous channel.
var ChannelUp
-
Select next channel.
var ContentIdentifier
-
Identifier for Content
var Down
-
Down button on remote.
var EpisodeNumber
-
Episode number of TV series.
var Genre
-
Genre of playing song.
var Home
-
Home/TV button.
var HomeHold
-
Long-press home button (deprecated: use RemoteControl.home).
var LaunchApp
-
Launch an app.
var Left
-
Left button on remote.
var Menu
-
Go back to previous menu.
var Next
-
Change to next item.
var OutputDevices
-
Current output devices.
var Pause
-
Pause playing media.
var Play
-
Start playing media.
var PlayPause
-
Toggle between play/pause.
var PlayUrl
-
Stream a URL on device.
var Position
-
Current play time position.
var PowerState
-
Current device power state.
var Previous
-
Change to previous item.
var PushUpdates
-
Push updates are supported.
var RemoveOutputDevices
-
Remove output devices.
var Repeat
-
Repeat state.
var Right
-
Right button on remote.
var Screensaver
-
Activate screen saver.
var SeasonNumber
-
Season number of TV series.
var Select
-
Select current option.
var SeriesName
-
Title of TV series.
var SetOutputDevices
-
Set output devices.
var SetPosition
-
Seek to position.
var SetRepeat
-
Change repeat state.
var SetShuffle
-
Change shuffle state.
var SetVolume
-
Set volume level.
var Shuffle
-
Shuffle state.
var SkipBackward
-
Skip backwards a time interval.
var SkipForward
-
Skip forward a time interval.
var Stop
-
Stop playing media.
var StreamFile
-
Stream local file to device.
var Suspend
-
Suspend device (deprecated; use Power.turn_off).
var SwitchAccount
-
Switch user account.
var TextAppend
-
Input text into virtual keyboard.
var TextClear
-
Clear virtual keyboard text.
var TextFocusState
-
Current virtual keyboard focus state.
var TextGet
-
Get current virtual keyboard text.
var TextSet
-
Replace text in virtual keyboard.
var Title
-
Title of playing media.
var TopMenu
-
Go to main menu.
var TotalTime
-
Total length of playing media (seconds).
var TurnOff
-
Turn off device.
var TurnOn
-
Turn device on.
var Up
-
Up button on remote.
var Volume
-
Current volume level.
var VolumeDown
-
Decrease volume.
var VolumeUp
-
Increase volume.
var WakeUp
-
Wake up device (deprecated; use Power.turn_on).
class FeatureState (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
State of a particular feature.
Ancestors
- enum.Enum
Class variables
var Available
-
Feature is supported and available.
-
Feature is supported by device but not available now.
Pause is for instance unavailable if nothing is playing.
var Unknown
-
Feature is supported by device but it is not known if it is available or not.
var Unsupported
-
Device does not support this feature.
class InputAction (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
Type of input when pressing a button.
Ancestors
- enum.Enum
Class variables
var DoubleTap
-
Press and release twice quickly.
var Hold
-
Press and hold for one second before releasing.
var SingleTap
-
Press and release quickly.
class KeyboardFocusState (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
All supported keyboard focus states.
Ancestors
- enum.Enum
Class variables
var Focused
-
Keyboard is focused.
var Unfocused
-
Keyboard is not focused.
var Unknown
-
Keyboard focus state is not determinable.
class MediaType (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
All supported media types.
Ancestors
- enum.Enum
Class variables
var Music
-
Media type is music.
var TV
-
Media type is a TV show.
var Unknown
-
Media type is not known.
This can be either the case that nothing is playing or the app does not report a valid media type.
var Video
-
Media type is video.
class OperatingSystem (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
Operating system on device.
Ancestors
- enum.Enum
Class variables
var AirPortOS
-
Operating system is AirPortOS.
This OS is used by AirPort Express devices. It is not an official name but made up in pyatv as no official name has been found.
var Legacy
-
Operating system is Apple TV Software (pre-tvOS).
var MacOS
-
Operating system is macOS.
var TvOS
-
Operating system is tvOS.
var Unknown
-
Operating system is not known.
class PairingRequirement (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
Pairing requirement for a service.
Ancestors
- enum.Enum
Class variables
var Disabled
-
Pairing is disabled by protocol.
var Mandatory
-
Pairing must be performed.
var NotNeeded
-
Pairing is not needed.
var Optional
-
Pairing is supported but not required.
var Unsupported
-
Not supported by protocol or not implemented.
class PowerState (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
All supported power states.
Ancestors
- enum.Enum
Class variables
var Off
-
Device is turned off (standby).
var On
-
Device is turned on.
var Unknown
-
Power state is not determinable.
class Protocol (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
All supported protocols.
Ancestors
- enum.Enum
Class variables
var AirPlay
-
Protocol constant representing AirPlay.
var Companion
-
Protocol constant representing Companion link.
var DMAP
-
Protocol constant representing DMAP.
var MRP
-
Protocol constant representing MRP.
var RAOP
-
Protocol constant representing RAOP.
class RepeatState (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
All supported repeat states.
Ancestors
- enum.Enum
Class variables
var All
-
Repeat all tracks or items.
var Off
-
Repeat is off.
var Track
-
Repeat current track or item.
class ShuffleState (value, names=None, *, module=None, qualname=None, type=None, start=1)
-
All supported shuffle states.
Ancestors
- enum.Enum
Class variables
var Albums
-
Shuffle on album level.
var Off
-
Shuffle is off.
var Songs
-
Shuffle on song level.


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Simple Introduction to ForkJoin Framework - Part 1
published by Pradeep on May 03, 2018
ForkJoin framework allows us to execute tasks in a thread based environment. We need to pass tasks to this framework and this framework will execute them efficiently. This framework provides all the required utility classes which will handle all nitty-gritty things like maintaining the thread pool and running the tasks, we just need to pass the task to it. This framework in based on two main classes; ForkJoinPool and ForkJoinTask. Understanding these two classes is necessary to learn about this framework. In the below sections we will see how these classes works.
ForkJoinPool
ForkJoinPool maintains a pool of light weight threads. These light weight threads are special implementation of normal threads and they are available only in ForkJoin framework. These threads are light weight because it consumes less resources than comparing to normal threads and takes less resources in switching. Since they are the lighter weight so there will be less performance cost in maintaining these threads. This is one of the advantage using ForkJoinPool.
Each thread in the pool will have its own queue. This queue will gets filled with the tasks. For example, if we have two threads in the pool then each thread will have its own queue. Internally ForkJoinPool uses work-stealing algorithm. Using this algorithm, threads will first clean up there queue and if there are no more tasks left then it steals work from the queue of other threads. For example, if thread A completed its tasks in the queue then instead of waiting for the next task it will steal from thread B. ForkJoin framework is the best when we have processor intensive tasks because it keeps processor busy by not keeping threads idle.
Above image shows two threads. Thread B is not having tasks to execute so it is stealing tasks from Thread A’s queue.
ForkJoinTask
ForkJoinTask can be any task which can be divisible into subtasks. This division is called fork. This forking happens until the task is small enough to work on. For example, if a task is based on an array then we can configure threshold, so up to which an array can be forked.
Once the task is divided into small enough, then all subtasks will sit in a waiting queue and they all get executed in the pool.
Once the subtasks are executed, then the result of each subtasks are joined together. This joining goes until it reaches the first forked task where the join will produce the result of the main task.
This works like a divide and conquer problem. First the task is divided in to small enough to work and then all subtasks are joined back to get the result. Below image shows it in the detail;
In the above image, an array of twenty elements need to be processed. We configured threshold as five, so input array is forked until each sub-array get five elements. Each sub-array is passed to ForkJoinPool for execution. After the execution all sub-arrays are joined back to get result of fully processed array.
Below is the list of some examples which can be implemented using ForkJoinTask;
-
Sorting an array: If we divide an array we get sub-arrays. These sub-arrays can be sorted and then we can merge back to make whole array sorted.
-
Processing images: Images are two dimensional arrays. We can divide it into sub-arrays and then merge back to get the result.
ForkJoinTask is an abstract class so we can not directly use it, instead we can extend any of the three abstract classes which extends ForkJoinTask. Based on the type of the task we can extend any one of these three classes.
-
RecursiveAction: Works on the provided task but not returns any result.
-
RecursiveTask: Works on the provided task and returns the result.
-
CountedCompleter: While working on the input task it keep tracks of other threads and returns early if output is evaluated.
Conclusion
This article introduced internals of ForkJoinPool and ForkJoinTask classes. In the next part of this article we will go through the code examples.


You can now start interacting, experimenting, and building with your application. For further instructions on how to run and interact with your booster, refer to the README.doc included in the ZIP file.
$ unzip {{launcherComponent.summary.dependencyCheck.projectName}}.zip $ cd {{launcherComponent.summary.dependencyCheck.projectName}}


The style definitions are normally saved in external .css files.With an external style sheet file, you can change the look of an entire Web site by changing just one file!
Inline, External, Multiple Sheets, Cascading Order
Box Model, Width and Height Elements
Hiding an Elements, CSS Display - Block and Inline Elements
Image Gallery
Browser Support, Resizing, Outline Offset, Properties
Test your understanding


- Update hosts file to serve from an mlb.com URL. e.g local.mlb.com
- Request ads
- Then stop on a VPAID ad
- Not all, but some will freeze the player.
Seems to be when the last ad -> wrapper -> AdSystem === "AdSense/AdX".
Example XML response with ad that caused a freeze.


Hey ! 👋
I'm Kilian SMITI, a french developer passionate about web technologies since his childhood. I started building websites when I was ten year old and I decided to make it my job.
Currently, I'm Full-Stack Developer for Free (Iliad) 🚀, one of the main French telecommunications operators. I work on many internal applications, whether it is on invoicing tools, or civil engineering management tools, I have no trouble getting to grips with a subject.
I master many langage and framework, for the front-end, I master HTML, CSS (with pre-processor like Sass), Javascript and some framework like Vue.js, React and Electron. For back-end langages, I master Golang, PHP, Node.js and some framework specialy in PHP like Symfony and Laravel.
I'm also working with several tool like Docker, Webpack, Typescript, ESLint and Git.


A suite of polyfills supporting the Web Components specs:
Custom Elements: allows authors to define their own custom tags (spec).
HTML Imports: a way to include and reuse HTML documents via other HTML documents (spec).
Shadow DOM: provides encapsulation by hiding DOM subtrees under shadow roots (spec).
This also folds in polyfills for MutationObserver
and WeakMap
.
Pre-built (concatenated & minified) versions of the polyfills are maintained in the tagged versions of this repo. There are two variants:
webcomponents.js
includes all of the polyfills.
webcomponents-lite.js
includes all polyfills except for shadow DOM.
Our polyfills are intended to work in the latest versions of evergreen browsers. See below for our complete browser support matrix:
| Polyfill | IE10 | IE11+ | Chrome* | Firefox* | Safari 7+* | Chrome Android* | Mobile Safari* |
|---|---|---|---|---|---|---|---|
| Custom Elements | ~ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| HTML Imports | ~ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Shadow DOM | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Templates | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
*Indicates the current version of the browser
~Indicates support may be flaky. If using Custom Elements or HTML Imports with Shadow DOM, you will get the non-flaky Mutation Observer polyfill that Shadow DOM includes.
The polyfills may work in older browsers, however require additional polyfills (such as classList) to be used. We cannot guarantee support for browsers outside of our compatibility matrix.
If you wish to build the polyfills yourself, you’ll need node
and gulp
on your system:
npm
to install gulp.js: npm install -g gulp
Now you are ready to build the polyfills with:
# install dependencies npm install # build gulp build
The builds will be placed into the dist/
directory.
See the contributing guide
Everything in this repository is BSD style license unless otherwise specified.
Copyright © 2015 The Polymer Authors. All rights reserved.
WebComponentsReady
Under native HTML Imports, <script>
tags in the main document block the loading of such imports. This is to ensure the imports have loaded and any registered elements in them have been upgraded.
The webcomponents.js and webcomponents-lite.js polyfills parse element definitions and handle their upgrade asynchronously. If prematurely fetching the element from the DOM before it has an opportunity to upgrade, you’ll be working with an HTMLUnknownElement
.
For these situations (or when you need an approximate replacement for the Polymer 0.5 polymer-ready
behavior), you can use the WebComponentsReady
event as a signal before interacting with the element. The criteria for this event to fire is all Custom Elements with definitions registered by the time HTML Imports available at load time have loaded have upgraded.
1 2 3 4 | window.addEventListener('WebComponentsReady', function(e) { // imports are loaded and elements have been registered console.log('Components are ready'); }); |
See #215 for background.
In Safari and IE, instances of Custom Elements have a constructor
property of HTMLUnknownElementConstructor
and HTMLUnknownElement
, respectively. It’s unsafe to rely on this property for checking element types.
It’s worth noting that customElement.__proto__.__proto__.constructor
is HTMLElementPrototype
and that the prototype chain isn’t modified by the polyfills(onto ElementPrototype
, etc.)
Using the MutationObserver polyfill, it isn’t possible to monitor mutations of an element marked contenteditable
.
See the mailing list
See #16 for background.
Under the shadow DOM polyfill, rules like:
:host-context(.foo):host(.bar) {...}
don’t work, despite working under native Shadow DOM. The solution is to use polyfill-next-selector
like:
1 | polyfill-next-selector { content: '.foo :host.bar, :host.foo.bar'; } |
See #212
execCommand
, and contenteditable
aren’t supported under the ShadowDOM polyfill, with commands that insert or remove nodes being especially prone to failure.


Three hypotheses
I'm a professor of nuclear science and engineering at MIT, and today, I am celebrating the resurrection of Jesus. So are dozens of my colleagues. How can this be?
Hypothesis one: We're not talking about a literal resurrection. Perhaps it is just an inspiring myth that served to justify the propagation of Jesus' exalted ethical teachings. A literal resurrection contradicts the known laws of nature. Maybe scientists can celebrate the idea of Jesus's spirit living on, while his body remained in the grave.
But the first disciples attested to a physical resurrection. How could an untruth logically support high moral character? How could it have sustained the apostles through the extremes of persecution they experienced founding Christianity? And is celebrating a myth consistent with scientific integrity?
Mauris neque quam, fermentum ut nisl vitae, convallis maximus nisl. Sed mattis nunc id lorem euismod placerat. Vivamus porttitor magna enim, ac accumsan tortor cursus at. Phasellus sed ultricies mi non congue ullam corper. Praesent tincidunt sed tellus ut rutrum. Sed vitae justo condimentum, porta lectus vitae, ultricies congue gravida diam non fringilla.
Mauris neque quam, fermentum ut nisl vitae, convallis maximus nisl. Sed mattis nunc id lorem euismod placerat. Vivamus porttitor magna enim, ac accumsan tortor cursus at. Phasellus sed ultricies mi non congue ullam corper.
Mauris neque quam, fermentum ut nisl vitae, convallis maximus nisl. Sed mattis nunc id lorem euismod placerat. Vivamus porttitor magna enim, ac accumsan tortor cursus at. Phasellus sed ultricies mi non congue ullam corper. Praesent tincidunt sed tellus ut rutrum. Sed vitae justo condimentum, porta lectus vitae, ultricies congue gravida diam non fringilla. Cras vehicula tellus eu ligula viverra, ac fringilla turpis suscipit. Quisque vestibulum rhoncus ligula.


Sowseeds International Ministries accepts the Bible as the inspired and revealed word of God and adopts these statements as fundamental truths and doctrine:
Trinity
We believe in one, triune God revealed as the Father, Jesus Christ the Son and Holy Spirit. All are co-equal and co-eternal.  He was crucified and buried, then resurrected from the dead. He ascended into Heaven and is now seated at the right hand of God the Father. - Luke 4:18; Mark 16:19
Salvation is for Everyone
We believe all men have sinned and are in need of salvation, which has been provided through the shed blood of Jesus Christ. Salvation is a gift from God that can only be obtained by repentance from one's own dead works and by faith towards God. - Romans 3:23
Water Baptism
We believe in the Lord's ordinance of Water Baptism as a confirmation of the believer's salvation experience in Christ and communion as a remembrance and celebration of the Lord's death.
- Romans 6:3-4; 1Peter 3:21
Holy Spirit
We believe in the Baptism of the Holy Spirit in accordance to the command of our Lord Jesus Christ for the empowerment of Christian service, the bestowal of gifts and their uses in the work of the ministry. This experience is distinct from and subsequent to the experience of salvation and is evidenced by the speaking with other tongues. - Matthew 28:19
The Great Commission
We believe in the Great Commission to preach the Gospel in all the world and the laying on of hands to heal the sick and deliver the oppressed. - Matthew 9:35; Mark 16:17-18
God is Good
We believe in the goodness of God, who redeems men from sin, sickness and disease, and poverty and tragedy. Believers are made righteous by the blood of Christ and have the promise of divine healing, health and long life. Abundance and success in every area of life have also been provided for by Christ's work on the cross. - Colossians 13; 1 Peter 2:24
Marriage
We believe in the institution of marriage. Strong marriages make strong families, strong families make for strong churches, communities and ultimately a strong nation. Marriage is a divine covenant between a man and a woman from which children are nurtured and trained to become leaders of the next generation. Strong families are the building block of our society, the hope for future generations. We believe in passing on a legacy of faith to our children by a thorough grounding of God’s Word.
- Genesis 2:24; Ephesians 5:22-33; Deuteronomy 6:4-7; Ephesians 6:1-4
Return of the Lord
We believe in the visible and imminent return of the Lord Jesus, His millennial reign on the earth, and the resurrection of the saved to everlasting life and the lost to eternal damnation. - 1 John 3:1-3; Revelations 20:11,12


Popular Groups
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Professional Summary
Motivated and detailed-oriented technical writer seeking to leverage his experience to the benefit of interested parties. Strong background in writing with excellent editing and proofreading skills, exceptional written communication skills; can work independently or in a team environment.
Skills and Qualifications
- More than 8 years of proven success in technical writing and documentation for the use of validated software systems; familiar with systems development life cycle (SDLC)
- Strong, effective communicator with excellent written skills; native English speaker able to convey complex information succinctly in understandable terms
- Possesses an excellent attention to detail; always strives to deliver high quality work for every project
- Demonstrated ability to meet rigorous deadlines
- More than 15 years of experience in the extensive use of Microsoft Office programs
Professional Experience
- Collaborated with internal cross-functional teams to develop an in-depth understanding of the system and necessary documentation requirements
- Consistently examined existing and potential content with an eye toward the ability to reuse content and maximize single-sourcing opportunities
- Produced documentation meeting applicable criteria and standards while maintaining an appropriate level of understanding for the intended audience
- Wrote step-by-step procedures for the standard operation of procedures and use of computerized systems; conducted tutorial presentations as necessary
- Oversaw the workflow on multiple projects, adjusting priorities based on business needs and enlisting additional team members as required
- Reviewed and approved documents and forms to ensure adherence to templating, accuracy, and clarity guidelines
- Collected, analyzed, and presented data; made successful decisions and recommendations based on such analysis
Education
Univsity of California, Santa Barbara
Bachelors of Science in Zoology


Reports
try
statements which catch
java.lang.Error
or any subclass and which do not rethrow the error. Statements which catch
java.lang.ThreadDeath
are not reported by this inspection.
Powered by InspectionGadgets


April 8, 1998
Ten Movies That Shook Wanniski
Memo To: Website browsers, fans & clients Author: Jude Wanniski <http://www.polyconomics.com> Re: Ten movies that helped shape my life
In the next ten weeks or so, one at a time, I'll list here the ten films that most shaped my life. These are not my favorite films. They are the movies I've seen that have had the greatest influence on my thinking, my character, my life. Some are favorites that I enjoy watching over and over again, which you can tell as you read each entry. Try to think of your own experiences with films and how they influenced the course of your life. It makes life more interesting to be aware, as you live it, to know how things such as books and films and magazine articles alter your path in significant ways. Sometime last year the Sunday NYTimes "Arts and Leisure" section had a piece on how difficult it is to think of a movie that may have changed history. The only movie they could think of was a silent film by D.W. Griffith, Birth of a Nation, which had a scene about the KuKluxKlan which the author believes changed national thinking about the KKK. How silly. Each of the ten films listed here changed my history, and if I had not seen them, I would not have helped change history in the ways that I have. Films don't move masses. They move individuals who move masses.
1. "The Ox-Bow Incident." (1943) This is the movie that most changed my life, instilling in me a fear of injustice that is produced by lynch mobs. That came to be one of my distinguishing political characteristics. As you will notice I am attracted to the defense of those who nobody else will defend. My mother took me to see this when I was seven years old and I even remember sitting near the rear of the Borough Park Theater in Brooklyn, N.Y. Henry Fonda is part of a posse chasing men who killed a rancher in the course of stealing some of his cattle. The thieve s, including Dana Andrews, Anthony Quinn and an old man, insist they did nothing wrong, but after a quick tree-stump trial in the woods, they are pronounced guilty -- with Henry Fonda voting "not guilty" -- and hung. On the way back to town, the posse meets a man who tells them the rancher was not killed at all, but was alive and well. The men who had been hung were innocent after all. I cried bitterly, not only in the theater, but for many nights thereafter. For years it came back to me in dreams. I can't watch it when it shows up on late-night television.
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The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
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Related links: index of all rec.arts.movies.reviews reviews


Colleges and Universities(W)
(C)Copyright 1995,1996 Christina DeMello. Reproduction and distribution are
permissible for non-profit purposes only, but no changes are to be
made to this document without the author's written consent.
Please send additions, corrections, and comments to<EMAIL_ADDRESS>Give me a few days
to respond as I no longer have a direct net connection at work every
day. Also, this list may be updated more quickly than I can respond
personally to email.
A, B, C, D, E,
F, G, H, I, J,
K, L, M, N, O,
P, Q, R, S, T,
U, V, W, X, Y,Z
- WHU Koblenz School of Corporate Management
- Wabash College
- Wageningen Agricultural University
- Wagner College
- Waikato Polytechnic
- Waikato University
- Wakayama University
- Wake Forest University
- Wakkanai Hokusei Gakuen Junior College
- Walden University
- Walla Walla College
- Warner Pacific College
- Warren Wilson College
- Warsaw School of Economics
- Warsaw University
- Warsaw University of Technology
- Waseda University
- Washburn University
- Washington & Lee University
- Washington Bible College & Capital Bible Seminary
- Washington College
- Washington State University
- Washington University in St. Louis
- Washtenaw Community College
- Waterford Regional Technical College
- Waubonsee Community College
- Wayne State University
- Waynesburg College
- Weber State University
- Webster University
- Weizmann Institute of Science
- Wellesley College
- Wells College
- Wentworth Institute of Technology
- Wesley College
- Wesleyan University
- West Chester University
- West Coast University
- West Georgia College
- West Liberty State College
- West Texas A&M University
- West University of Timisoara
- West Valley College
- West Virginia State College
- West Virginia University
- Western Baptist College
- Western Carolina University
- Western Connecticut State University
- Western Illinios University
- Western Iowa Community College
- Western Iowa Tech Community College
- Western Kentucky University
- Western Maryland College
- Western Michigan University
- Western Nebraska Community College
- Western Nevada Community College
- Western New England College
- Western New England College School of Law
- Western Oregon State College
- Western State College of Colorado
- Western Washington University
- Westfälische Wilhelms Universität, Münster
- Westminster College, Missouri
- Westminster College, Oxford
- Westminster College, Pennsylvania
- Westminster College, Salt Lake City
- Westminster Theological Seminary
- Westmont College
- Westmoreland County Community College
- Wharton School
- Wheaton College, Illinois
- Wheaton College, Massachusetts
- Wheeling Jesuit College
- Whitecliffe College of Art & Design
- Whitman College
- Whittier College
- Whitworth College
- Wichita State University
- Widener University
- Wilfrid Laurier University
- Wilkes University
- Willamette University
- William Howard Taft University
- William Jewell College
- William Paterson College
- William Penn College
- William Rainey Harper College
- William Woods University
- Williams Baptist College
- Williams College
- Wilmington College
- Wingate University
- Winona State University
- Winthrop University
- Wittenberg University
- Wofford College
- Wolfson College, Oxford
- Worcester Polytechnic Institute
- Worthington Community College
- Wright State University
- Wroclaw Technical University
- Wu-Feng Junior College of Technology & Commerce
- Wuhan University (Alumni)
- Wuhan University of Technology
Return to Top Level
<EMAIL_ADDRESS><EMAIL_ADDRESS>Last updated:
Mon Jul 15 00:44:51 PDT 1996


Sparse arrays contain empty slots, most frequently due to multiple commas being used in an array literal, such as:
var items = [,,];
While the items
array in this example has a length
of 2, there are actually no values in items[0]
or items[1]
. The fact that the array literal is valid with only commas inside, coupled with the length
being set and actual item values not being set, make sparse arrays confusing for many developers. Consider the following:
var colors = [ "red",, "blue" ];
In this example, the colors
array has a length
of 3. But did the developer intend for there to be an empty spot in the middle of the array? Or is it a typo?
The confusion around sparse arrays defined in this manner is enough that it’s recommended to avoid using them unless you are certain that they are useful in your code.
This rule disallows sparse array literals which have “holes” where commas are not preceded by elements. It does not apply to a trailing comma following the last element.
Examples of incorrect code for this rule:
/*eslint no-sparse-arrays: "error"*/
var items = [,];
var colors = [ "red",, "blue" ];
Examples of correct code for this rule:
/*eslint no-sparse-arrays: "error"*/
var items = [];
var items = new Array(23);
// trailing comma (after the last element) is not a problem
var colors = [ "red", "blue", ];
If you want to use sparse arrays, then it is safe to disable this rule.
This rule was introduced in ESLint 0.4.0.


You can customize the thumbnails. To do so you need to define something that looks like an Angular template, but isn't an Angular template. It's not part of the Angular interpolation and lifecycle, so there are several restrictions. This demo shows over to circumvent them.^
If you want to use CSS classes, set `encapsulation: ViewEncapsulation.None`.
In the HTML definition, you can use these variables:
PAGE_NUMBER
WIDTH_OF_RING
width of the ring around the thumbnail. This ring is used to highlight the selected page.HEIGHT_OF_RING
height of the ring around the thumbnail.You can call JavaScript code from the HTML template. Just register a method in the global `window` namespace and call it from the HTML template. The demo uses this approach to implement clicking on the radio buttons.
Caveat: the function is not automatically removed from the global name space when the Angular component is destroyed. This might cause memory leaks.
This demo also shows that you sometimes need to wrap your code in a `setTimeout()`.
The second approach allows you to call Angular code. You need to register a custom event. The demo uses this event to implement the mouse-over-event. The Angular component registers an event listener. When you want to call a method from JavaScript, just send the event. This approach allows you to access all the methods and attributes of the Angular component.
Caveat: There's only one Angular component rendering all the thumbnails. You can think of it as a service. So the event has to send the reference to the thumbnail or the page number.


Name
HPL_pdlaswp01T Broadcast a column panel L and swap the row panel U.
Synopsis
#include "hpl.h"
void
HPL_pdlaswp01T(
HPL_T_panel *
PBCST
,
int *
IFLAG
,
HPL_T_panel *
PANEL
,
const int
NN
);
Description
HPL_pdlaswp01T
applies the NB row interchanges to NN columns of the
trailing submatrix and broadcast a column panel.
A "Spread then roll" algorithm performs the swap :: broadcast of the
row panel U at once, resulting in a minimal communication volume and
a "very good" use of the connectivity if available. With P process
rows and assuming bi-directional links, the running time of this
function can be approximated by:
(log_2(P)+(P-1)) * lat + K * NB * LocQ(N) / bdwth
where NB is the number of rows of the row panel U, N is the global
number of columns being updated, lat and bdwth are the latency and
bandwidth of the network for double precision real words. K is
a constant in (2,3] that depends on the achieved bandwidth during a
simultaneous message exchange between two processes. An empirical
optimistic value of K is typically 2.4.
Arguments
PBCST (local input/output) HPL_T_panel *
On entry, PBCST points to the data structure containing the
panel (to be broadcast) information.
IFLAG (local input/output) int *
On entry, IFLAG indicates whether or not the broadcast has
already been completed. If not, probing will occur, and the
outcome will be contained in IFLAG on exit.
PANEL (local input/output) HPL_T_panel *
On entry, PANEL points to the data structure containing the
panel information.
NN (local input) const int
On entry, NN specifies the local number of columns of the
trailing submatrix to be swapped and broadcast starting at
the current position. NN must be at least zero.
See Also
HPL_pdgesv,
HPL_pdgesvK2,
HPL_pdupdateNT,
HPL_pdupdateTT,
HPL_pipid,
HPL_plindx1,
HPL_plindx10,
HPL_spreadT,
HPL_equil,
HPL_rollT,
HPL_dlaswp10N,
HPL_dlaswp01T,
HPL_dlaswp06T.


|
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| PREV LETTER NEXT LETTER | FRAMES NO FRAMES |
Rectangle
which contains the
size and location of this rubber band
JComponent
which is the canvas for the
RubberBand
Component
which is dragged
Container
which registered itself as the
"Draggable Container" with this DraggableManager
Container
which has been registered as the "draggable container"
DragPolicy
which this manager obides by
DragPolicy
for which this manager obides by
Draggable
component which this
manager is handling
Draggable
component
Stroke
at strokeIndex
|
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| PREV LETTER NEXT LETTER | FRAMES NO FRAMES |


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Home Give to the Brooklyn College Foundation
PAGE CONTENT - To Be Replaced With Unique Content


public static final int |
ACE_PREFIX |
31 |
public static final int |
BAD_BIDI_SUBCOMPONENT |
38 |
public static final int |
BAD_DOT_IN_IDN |
43 |
public static final int |
BAD_IDN |
35 |
public static final int |
BAD_IDN_UNASSIGNED_CHARS |
34 |
public static final int |
BIDI_FORMATTING_CHARACTER |
16 |
public static final int |
COMPATIBILITY_CHARACTER |
56 |
public static final int |
CONTROL_CHARACTER |
5 |
public static final int |
DEFAULT_PORT_SHOULD_BE_OMITTED |
13 |
public static final int |
DEPRECATED_UNICODE_CHARACTER |
48 |
public static final int |
DISCOURAGED_IRI_CHARACTER |
37 |
public static final int |
DISCOURAGED_XML_CHARACTER |
7 |
public static final int |
DNS_LABEL_DASH_START_OR_END |
33 |
public static final int |
DNS_LABEL_LENGTH_LIMIT |
40 |
public static final int |
DNS_LENGTH_LIMIT |
39 |
public static final int |
DOUBLE_DASH_IN_REG_NAME |
20 |
public static final int |
DOUBLE_WHITESPACE |
18 |
public static final int |
EMPTY_SCHEME |
9 |
public static final int |
HAS_PASSWORD |
36 |
public static final int |
ILLEGAL_CHARACTER |
0 |
public static final int |
ILLEGAL_PERCENT_ENCODING |
30 |
public static final int |
IP_V4_OCTET_RANGE |
27 |
public static final int |
IP_V6_OR_FUTURE_ADDRESS_SYNTAX |
25 |
public static final int |
IPv6ADDRESS_SHOULD_BE_LOWERCASE |
26 |
public static final int |
LONE_SURROGATE |
32 |
public static final int |
LOWERCASE_PREFERRED |
11 |
public static final int |
MAYBE_NOT_NFC |
53 |
public static final int |
MAYBE_NOT_NFKC |
54 |
public static final int |
NON_INITIAL_DOT_SEGMENT |
8 |
public static final int |
NON_URI_CHARACTER |
22 |
public static final int |
NON_XML_CHARACTER |
6 |
public static final int |
NOT_DNS_NAME |
28 |
public static final int |
NOT_NFC |
46 |
public static final int |
NOT_NFKC |
47 |
public static final int |
NOT_UTF8_ESCAPE |
41 |
public static final int |
NOT_UTF8_ESCAPE_IN_HOST |
42 |
public static final int |
NOT_XML_SCHEMA_WHITESPACE |
19 |
public static final int |
PERCENT |
24 |
public static final int |
PERCENT_20 |
23 |
public static final int |
PERCENT_ENCODING_SHOULD_BE_UPPERCASE |
1 |
public static final int |
PORT_SHOULD_NOT_BE_EMPTY |
12 |
public static final int |
PORT_SHOULD_NOT_BE_WELL_KNOWN |
14 |
public static final int |
PORT_SHOULD_NOT_START_IN_ZERO |
15 |
public static final int |
PRIVATE_USE_CHARACTER |
50 |
public static final int |
PROHIBITED_COMPONENT_PRESENT |
58 |
public static final int |
QUERY_IN_LEGACY_SCHEME |
62 |
public static final int |
REQUIRED_COMPONENT_MISSING |
57 |
public static final int |
SCHEME_INCLUDES_DASH |
21 |
public static final int |
SCHEME_MUST_START_WITH_LETTER |
10 |
public static final int |
SCHEME_PATTERN_MATCH_FAILED |
61 |
public static final int |
SCHEME_PREFERS_LOWERCASE |
60 |
public static final int |
SCHEME_REQUIRES_LOWERCASE |
59 |
public static final int |
SUPERFLUOUS_ASCII_PERCENT_ENCODING |
3 |
public static final int |
SUPERFLUOUS_NON_ASCII_PERCENT_ENCODING |
2 |
public static final int |
UNASSIGNED_UNICODE_CHARACTER |
52 |
public static final int |
UNDEFINED_UNICODE_CHARACTER |
49 |
public static final int |
UNICODE_CONTROL_CHARACTER |
51 |
public static final int |
UNICODE_WHITESPACE |
55 |
public static final int |
UNREGISTERED_IANA_SCHEME |
44 |
public static final int |
UNREGISTERED_NONIETF_SCHEME_TREE |
45 |
public static final int |
UNWISE_CHARACTER |
4 |
public static final int |
USE_PUNYCODE_NOT_PERCENTS |
29 |
public static final int |
WHITESPACE |
17 |


#include <IOManager.h>
Public Member Functions | |
| IOManager () | |
| IOManager (string path) | |
| virtual | ~IOManager () |
| void | FillContainer (vector< int > &channel, vector< double > &rates) |
| void | SaveContainer () |
| Public Member Functions inherited from Common | |
| Common () | |
| virtual | ~Common () |
| int32_t | get_time () |
| int | GetUnixTime () |
| void | gettimestring (char *buffer) |
| int | error (char *node) |
| Common () | |
| virtual | ~Common () |
| int32_t | get_time () |
| int | GetUnixTime () |
| void | gettimestring (char *buffer) |
| Common () | |
| string | GetTime () |
| int | GetUnixTime () |
| string | GetDayYear () |
| string | GetDay () |
Additional Inherited Members | |
| Protected Attributes inherited from Common | |
| string | Message |
| IOManager::IOManager | ( | ) |
| IOManager::IOManager | ( | string | path | ) |
|
virtual |
| void IOManager::FillContainer | ( | vector< int > & | channel, |
| vector< double > & | rates | ||
| ) |
References Common::GetUnixTime(), KCYN, and RESET.
Referenced by ScalerManager::ReadMultipleCycles().
| void IOManager::SaveContainer | ( | ) |


This website was created as personal project by Reevo.
Ju$t another d(a)y
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then linked to in HTML
The Neighbourhood band name, logo, and audio are copywritten
and owned by their selective partners.


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- Journal List
- Br J Clin Pharmacol
- v.60(3); 2005 Sep
- PMC1884771
The effect of cimetidine or omeprazole on the pharmacokinetics of escitalopram in healthy subjects
Abstract
Aims
To investigate the effects of co-administration of cimetidine or omeprazole on the pharmacokinetics of escitalopram.
Methods
Two randomized placebo-controlled crossover studies were carried out. Sixteen healthy subjects were administered placebo, or cimetidine (400 mg twice daily) for 5 days (study 1) or omeprazole (30 mg once daily) for 6 days (study 2). On day 4 (study 1) or day 5 (study 2), a single dose of escitalopram (20 mg) was administered. Blood samples were taken at predetermined times for the measurement of serum concentrations of escitalopram and its demethylated metabolite (S-DCT). Treatment-emergent adverse events were also monitored.
Results
Co-administration with cimetidine caused a moderate increase in the systemic exposure [AUC(0, ∞)] to escitalopram (geometric mean ratio = 1.72, [95% CI 1.34, 2.21]) and a small increase in t½ from 23.7 to 29.0 h (5.24 h [3.75, 6.70]). Co-administration with omeprazole also resulted in a moderate increase in the escitalopram AUC(0, ∞) (1.51 [1.39, 1.64]) and a small increase in t½ from 26.5 to 34.8 h (8.3 h [6.44, 10.2]). There was no significant change in S-DCT AUC(0, ∞) after co-administration of either cimetidine or omeprazole. Co-administration of cimetidine or omeprazole had no effect on the incidence of treatment-emergent adverse events.
Conclusions
In view of the good tolerability of escitalopram, the pharmacokinetic changes observed on co-administration with cimetidine or omeprazole are unlikely to be of clinical concern.
Introduction
The selective serotonin reuptake inhibitor antidepressant escitalopram [1] is metabolized in the liver, mainly to the demethylated (S-DCT) and didemethylated (S-DDCT) metabolites by the cytochrome P450 enzymes CYP2C19, CYP3A4 and CYP2D6 [2, 3]. Both metabolites show only weak pharmacological activity in vitro and no activity in vivo[1, 4]. After multiple dosing, the mean concentrations of S-DCT and S-DDCT in plasma are 28–31% and <5% of the parent compound, respectively.
Cimetidine is a histamine H2-receptor antagonist used for the treatment of peptic ulcers and other hypersecretory conditions. It is a nonspecific inhibitor of the cytochrome P450 system and has been shown to inhibit CYP1A2, CYP2C9, CYP2C19, CYP2D6 and CYP3A4 [5] although it does not appear to be a significant substrate for the cytochrome P450 system itself [6].
Omeprazole is a proton pump inhibitor that is widely used for the treatment of peptic ulcers and other hypersecretory conditions. It is metabolized predominantly by CYP2C19 to 5′-hydroxyomeprazole, which is further metabolized by CYP3A to 5′-hydroxyomeprazole sulphone [7]. Omeprazole is also metabolized to a lesser extent by CYP3A to omeprazole sulphone and subsequently to 5′-hydroxyomeprazole sulphone by CYP2C19 [7]. The metabolites formed are essentially inactive. Omeprazole and omeprazole sulphone are competitive inhibitors of CYP2C19 and omeprazole is a weak inhibitor of CYP3A, CYP2C9 and CYP2D6 [8]. As cimetidine and omeprazole are inhibitors of the enzymes that metabolize escitalopram, the present studies were undertaken to investigate their potential effects on the pharmacokinetics of this antidepressant drug.
Methods
Two independent randomized double-blind, two-way cross-over studies of identical design were carried out to evaluate the potential effect of cimetidine or omeprazole on the pharmacokinetics of escitalopram.
Subjects
For each study, 16 healthy subjects (aged 18–45 years; 12 male and four female (14 Caucasian and two black subjects) in the cimetidine study and eight male and eight female (15 Caucasian and one black subject) in the omeprazole study were recruited in the UK.
Study design
The studies were designed and conducted in accordance with the principles of the Declaration of Helsinki. The study protocols were approved by the Independent Review Board at Covance, UK, and all subjects gave written informed consent.
Sixteen subjects were administered cimetidine (400 mg twice daily) or placebo for 5 days (study 1) or omeprazole (30 mg once daily) or placebo for 6 days (study 2). On the morning of day 4 (study 1) or day 5 (study 2), a single dose of 20 mg escitalopram was administered. The wash-out period was 3 weeks between the treatments.
Clinical assessment
Body weight, electrocardiograms (ECG), serum biochemistry, haematology and urinalysis were determined at day −1 and day 14 of each phase of the study. Vital signs and adverse events observed by the investigator or spontaneously reported by the subjects throughout the study periods were recorded.
Blood sampling
Venous blood samples (5 ml) were taken for analysis of serum concentrations of escitalopram and S-DCT at predefined sampling times after escitalopram administration.
Drug and metabolite analysis
Serum concentrations of escitalopram and S-DCT were analyzed at the Department of Drug Analysis (H. Lundbeck A/S, Valby, Denmark) by means of an enantioselective high performance liquid chromatography method with tandem mass spectrometry (HPLC MS/MS) detection [9]. Alkalinized serum was extracted with 1.5% isoamyl alcohol in n-heptane, and back-extracted into dilute hydrochloric acid. Mass-spectrometric detection was performed on a Quattro LC (Micromass, Manchester, UK) using positive electrospray ionization in the multiple reaction-monitoring mode. The lower limit of quantification in serum was 3.08 nmol l−1 for escitalopram and 3.22 nmol l−1 for S-DCT. The accuracy was ±2% across all levels and the precision varied between 4 and 8%.
Genotyping
CYP2D6 and CYP2C19 were determined according to standard methods. The results were only used to aid interpretation of the pharmacokinetic results.
Pharmacokinetic analysis
The pharmacokinetic parameters for escitalopram and S-DCT (AUC(0, ∞), Cmax, tmax and t½) were estimated using standard noncompartmental methods.
Statistical analysis
Comparisons were made by analysis of variance or nonparametric methods. Geometric least squares means ratios and their 95% confidence intervals were calculated.
Results
Cimetidine (400 mg twice daily) caused a significant increase of 72% in the AUC(0, ∞) for escitalopram given as a single oral dose (Table 1, Figure 1a). The Cmax for escitalopram was slightly (+22%), but nonsignificantly, greater following cimetidine co-administration.
The tmax values were similar, but cimetidine caused a small but significant prolongation of the elimination half-life (t½) of escitalopram (Table 1).
Co-administration of escitalopram with cimetidine did not significantly modify the AUC(0, ∞) of S-DCT. However, Cmax was significantly decreased by 20%. Maximal concentrations of S-DCT were attained only slowly and the tmax was significantly longer following cimetidine (37 vs. 21 h).
Omeprazole (30 mg once daily ) caused a significant increase (+51%) in the AUC(0, ∞) for escitalopram given as a single 20 mg oral dose (Table 1, Figure 1b). Cmax was increased slightly (+9%) but significantly following omeprazole co-administration. Maximal concentrations of escitalopram occurred at similar times (approximately 4 h postdose) following administration of omeprazole or placebo. The elimination half-life (t½) of escitalopram following co-administration with omeprazole was significantly prolonged.
Systemic exposure to the S-DCT metabolite of escitalopram was similar following administration of omeprazole or placebo. However, the Cmax of S-DCT was significantly lower (−21%) following omeprazole co-administration. This was consistent with an observed prolongation of the tmax (33 vs. 22 h).
A single CYP2D6 poor metabolizer was identified in each of the two studies. However, the results from these subjects were within the ranges of those from the other subjects.
Twelve to 15 of the 16 subjects reported at least one treatment-emergent adverse event (TEAE) following each treatment phase. The majority of TEAEs, most commonly nausea, headache, yawning, dizziness, and abdominal pain, were mild in intensity and their incidence was similar when escitalopram was given alone and with cimetidine or omeprazole.
Discussion
The inhibitory effect of cimetidine or omeprazole on the cytochrome P450 system caused a significant increase (+72 or +51%, respectively) in the AUC values for escitalopram. The terminal elimination half-life of escitalopram was also increased by both treatments. Consistent with the decrease in escitalopram clearance, the rate of formation of the primary metabolite S-DCT appeared to be slower and maximal concentrations were attained less rapidly after cimetidine or omeprazole. However, no apparent change in systemic exposure to this metabolite was observed.
In a previous study cimetidine increased the AUC of racemic citalopram, given in multiple doses, by 43%[10]. Although a nonenantioselective analysis method was used, these results are consistent with those reported in the present study.
All drug regimens were equally well tolerated. The majority of TEAEs were reported after the dose of escitalopram, and showed a similar incidence, type and severity in the presence or absence of cimetidine or omeprazole. The most frequently reported TEAEs (headache and nausea) were consistent with those previously associated with citalopram and escitalopram [1].
In conclusion, repeated administration of either cimetidine or omeprazole caused moderate increases in the systemic exposure to escitalopram given as a single dose and a small increase in its terminal elimination half-life in healthy subjects. Because escitalopram is well tolerated, the magnitude of the observed pharmacokinetic changes on escitalopram produced by cimetidine or omeprazole are unlikely to be of clinical concern.
Acknowledgments
Competing interests: None declared.
We thank M. Briley, PhD, for assistance with the manuscript, and Janet Ward, Covance for assistance with the conduct of the study.
References
Formats:
- Article
- |
- PubReader
- |
- ePub (beta)
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- PDF (108K)
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- Citation


Anchor module.
MIT. See LICENSE for full details.
These are common commands that apply to all widgets that have them injected.
Specifies how text in the widget is positioned relative to the inner margins.
This widget to aid method chaining.
tkd.widget.anchorposition


The overwhelming majority of theories are rejected because they contain bad explanations, not because they fail experimental tests.
David Deutsch
Vadim Makeev: Shower HTML presentation engine


Sk8 or die!
I was checking out reddit when I came across a link, 'The Quarterlife Skateboard Crisis', it struck a chord and I middle-clicked it.
When I got around to reading it, it was right on the button. I'd had the same thoughts, every time I'd played Tony Hawk, when I added the eXtreme channel to the lineup, when I checked out the book of cool and when I located the various skate facilities in montreal.
Incidentally, I still haven't seen 'Lords of Dogtown', although I've had 'Dogtown and Z-boys' forever.
Of course, the other thought is to pick up some new aggressive inline skates, since I did do that for a while. And it was fun as far as I took it. But then I felt old at the age of 23 when I was doing that.
About this entry
You"re currently reading "Sk8 or die!," an entry on a crick in the net
- Published:
- 04.08.06 / 10pm
- Category:
- Circular File, Gravity
Great link. I felt the same way when I was turning 30, but unlike the author I didn't have the guts to walk into that skateboard shop (shame won over self-righteousness).
I don't think I could bring myself to buy one now. But if you get one, I'm totally coming over to try it out.
It occurs to me that, thanks to the internet, its possible to pick up the gear WITHOUT going into a store.
But eventually, someone is going to see you skate.
Er, there done. Ordered some online. I even picked up some extra boards as they were cheap. Only picked up one set of trucks/wheels as they weren't so cheap.
Ah, but will they ship it in a discreet brown package?
That's really cool J. That's going to be fun.
Is it me, or do the longboards seem especially hip? They seem safer somehow. I mean socially safer, of course.
I have no idea how quickly J will progress (i.e. when he'll try his first rail) but I urged him to get some kind of crotch protector. I've seen one too many hilarious videos of guys missing the rail and getting nailed. Ouch. The helmet is apparently already covered.
Good job J. I hope you enjoy it.
Is that movie any good?
Not the new one.
It's definitely a very interesting insight into early skateboarding and the early players. It's the steps after the basic introduction of skating but just before the ollie was invented. And about when these kids from a crappy part of California became rockstars.
I enjoyed it. I'll try to remember to bring it this weekend.


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Inside Wire Maintenance Plan for TechSure - IT
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WHS Change For Customers With BHR3
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Release of e_menu v1.48. Details:
- code
- description
- demo of e_menu v3.0 (~33 Mb)
Release of apave v2.2. Details:
- code
- description
Updating:
- code of apave v2.1
- description of apave
- code of e_menu v1.47
Updating:
- code of doctest
- description of doctest
- code of e_menu
Updating e_menu:
- code
- description
- demo video
Updating pave:
- code
- description
- demo video
Updating e_menu's code.
A mirror at chiselapp.com was created. Some repositories were created at GitHub and Chisel.
A page at wiki.tcl-lang.org was started. A few words about Fossil and Chisel.
e_menu
1.30:
- yesnocancel dialog for Q to be used in a1= argument
- multiple commands separated with ";"in a1=
- file attributes of menus are kept at choosing items
- project name underlined (for spec.characters)
- %F_ wildcard = %F underlined
- fI=, bI= arguments for active item's colors
- local Tcl help's file name normalized
- local Tcl help's contents displayed if no page found
- .mnu changed
Moving from aplsimple.bitbucket.io to aplsimple.github.io. Less letters, more sense.
e_menu
1.28:
- exec -ignorestderr when running Linux terminal
- "# ARGS1.." works as "#ARGS1.." for in-text arguments
- possible issue with 'workdir' fixed
- few .mnu changed
- pave updated
pave:
- in editor, Alt+Up/Down to move lines up/down
- undo is enabled by default for text widget
e_menu
1.27:
1. ln=, cn= arguments, to read a word under caret if no selection
2. yn= argument, to confirm exit at Escape pressing
3. in=1.0 in [OPTIONS] section, to save & restore last run position
Moving to aplsimple.bitbucket.io finished.
Moving from aplsimple.ucoz.ru and www.vsi.ru/~apl to aplsimple.bitbucket.io started.


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This page demonstrates how to split a data input form into multiple steps (such forms are commonly called wizard forms). The point is to override the forms/form.tpl and forms/page_form.tpl templates and then bind them with the OnGetCustomTemplate event. Click the button to see the event handler code.
Try to add a record to see the wizard form in action.


| DOSE: |
10 mg |
insufflated |
2C-B |
I have only ever snorted 2CB because where I’m from, the UK, the shit is pretty expensive. We pay ten pounds (18 bucks?) for a capsule of – I think – 10 mg of the powder, which we whack into one line and snort.
People say snorting 2CB is the only way to go, and although I never took it orally I’d say they’re probably right. I thought I’d provide a few pointers:
1) The burn. 2CB doesn’t sting *that* much. It makes my nose run like crazy however, and there will be short periods of pain for the first twenty minutes or so. I ride it out.
2) The drip. The drip on 2CB is pretty gross compared to many other chemicals.  I have something to drink and some weed to get rid of the nausea.
3) The nausea. I’ve seen people properly purge on 2CB before actually being able to feel good – partly because the drip is just so rank. I’ve never felt more than a bit sick but snorted 2CB does hit my body quite suddenly, so I guess for some people their bodies will just say, “right – something is up here, lets flush out the stomach and see if that helps”.
4) Onset. Onset is fairly fast and fairly furious for me – I feel the first alerts as soon as I lift my head from whatever substance I snort from and I’ll be peaking within forty minutes. The come up is similar to a STRONG ecstasy come-up, and I think to myself, “oh no. This is going to be too much, things will get too weird.” Once that phase is finished and I begin to level off and loosen up things get GREAT.
5) Effects. 2CB is almost my favourite drug. The come up is just a bit too strong for it to be perfect. For me snorted 2CB gives peak effects that start to finish about 3.5 hours after dosing so duration is perhaps a little too short. I can still ‘get’ visuals if I want to up to 6 hours after snorting the stuff. Visuals are absolutely delicious, I remain quite lucid and only gently introspective while the entire visual field is distorted. More introspection comes as the drug wears off but I can think about things that would mess me up on LSD and still be in complete control on juicy bees.
Physically, I feel energised yet not wired. ‘Body tripping’ doesn’t affect me that much – legs feel like a mild ecstasy high, occasional ‘waves’ through the body. One time I felt like the group of people I was with, who were all sober (although fine with drugs), were kind of ‘watching’ me a bit too much. I realise now they weren’t but I kinda felt self-conscious and this led to a kind of jitter in my lower neck. It happened a few times when I felt people were focussing on me. It faded however.
6) Comedown/day after. 2CB is very easy on my body. Next day will be a little tired, but sleep and food after it is easy. No depression over lasting aching ever noticed. Taking 2CB with X seems to alleviate comedown effects of the X for me.
2CB at 10mg snorted is definitely controllable but the strong come-up and the fact that the pretty visuals and mild dissociation/weird body effects contribute to a fact that nothing is real (I often feel that when I take 2CB, a little world is constructed purely for my own pleasure) means I have to be careful. If I'm in a situation where I could get hurt – or worse, make a social faux pas (only joking), I am on my guard.
Dysphoria has never been present. Negative thoughts are controllable and I’ve never been trapped in a loop on 2CB. It seems to be unique in the psychedelics I’ve tried (LSD, shrooms, AMT, DMT) in that it’s a PSYCHEDELIC that makes me care *less* and makes me lighten up. That’s where it’s similar to MDMA for me.
Peace!
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


--- layout: default ---
Massively parallel computing combined with scalable simulation workflows that can reliably model systems of interest are central to the continued quest of scientists, engineers, and other practitioners to address advances in scientific discovery, engineering design, and medical treatment. However, to meet their potential, these methods must be able to operate efficiently and scale on massively parallel computers executing millions of processes.
EnGPar, N-Graph Partitioning, provides scalable partitioning methods in which the computational workload is well balanced and interprocessor communications overheads are minimized. Building on initial efforts to improve dynamic load balancing methods for adaptive unstructured mesh applications, the goal of the proposed research is to develop fast multicriteria dynamic load balancing methods that are capable of quickly producing well balanced computations, with well controlled communications, for a wide variety of applications.
Users of unstructured meshes or general relational structures may immediately start using our methods via the APIs and examples in the EnGPar repository and Doxygen Documentation. A series of getting started wiki pages should also be helpful. If you have a usage question please contact us via email or a GitHub Issue. EnGPar currently has support for partitioning graphs and hypergraphs via an interface to ParMETIS and then improving the partition for multiple criteria with a diffusive procedure.
Gerrett Diamond, Cameron W. Smith, Eisung Yoon, and Mark S. Shephard "Dynamic Load Balancing of Massively Parallel Unstructured Meshes", Proceedings of the 9th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA'18) Held in Conjuction with SC18, Dallas, TX. November 12, 2018.
Gerrett Diamond, Cameron W. Smith, and Mark S. Shephard "Dynamic Load Balancing of Massively Parallel Unstructured Meshes", Proceedings of the 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA'17) Held in Conjuction with SC17, Denver, CO. November 13, 2017.
Cameron W. Smith, Brian Granzow, Dan Ibanez, Onkar Sahni, Kenneth E. Jansen and Mark .S. Shephard, "In-memory Integration of Existing Software Components for Parallel Adaptive Unstructured Mesh Workflows", Proceedings of the XSEDE16 Conference, Miami, FL. July 19, 2016.
Daniel A. Ibanez, E. Seegyoung Seol, Cameron W. Smith, and Mark S. Shephard. "PUMI: Parallel Unstructured Mesh Infrastructure", ACM Trans. Math. Softw. 42, 3, Article 17. 2016
Cameron W. Smith, Michel Rasquin, Dan Ibanez, Kenneth E. Jansen, and Mark S. Shephard "Improving Unstructured Mesh Partitions for Multiple Criteria Using Mesh Adjacencies ", SIAM Journal on Scientific Computing, 2016
Sahni, Onkar, et al. "Scalable implicit finite element solver for massively parallel processing with demonstration to 160k cores." Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis. IEEE, 2009.
Zhou, Min, et al. "Controlling unstructured mesh partitions for massively parallel simulations." SIAM Journal on Scientific Computing 32.6 (2010): 3201-3227.
Cameron W. Smith "Load Balancing on Many-Core and Accelerated Systems", Salishan 2019. April 25, 2019
Cameron W. Smith, Gerrett Diamond, Lucas Davis, Yuan Meng, and Mark S. Shephard "Accelerating Dynamic Load Balancing with GPUs", SIAM Conference on Computational Science and Engineering (CSE19), Spokane, WA. March 1, 2018.
Gerrett Diamond, Cameron W. Smith, and Mark S. Shephard "Diffusive Load Balancing of Hypergraphs for Partitioning Evolving Unstructured Mesh Applications", SIAM Conference on Computational Science and Engineering (CSE19), Spokane, WA. February 28, 2018.
Gerrett Diamond, Lucas Davis, and Cameron W. Smith "Accelerated Load Balancing of Unstructured Meshes ", 27th International Meshing Roundtable, Albuquerque, NM. October 2, 2018.
Cameron W. Smith, Gerrett Diamond, George M. Slota, and Mark S. Shephard "Dynamic Load Balancing of Massively Parallel Graphs for Scientific Computing on Many Core and Gpu Based Systems", SIAM Conference on Parallel Processing for Scientific Computing (PP18), Tokyo, Japan. March 8, 2018.
Mark S. Shephard, Glen Hansen, Mauro Perego, Cameron W. Smith, "FASTMath Unstructured Mesh Partitioning Technologies", Argonne Training Program on Extreme-Scale Computing 2016 (ATPESC 2016), Chicago, IL. August 9, 2016.
Mark S. Shephard, Cameron W. Smith, Dan A. Ibanez, Brian Granzow, Onkar Sahni, and Kenneth Jansen, "Parallel Unstructured Mesh Generation/Adaptation Tools Used in Automated Simulation Workflows", SIAM Parallel Processing, Paris, France. April 14, 2016.
C.W. Smith, M. Rasquin, D.A. Ibanez, K.E. Jansen, and M.S. Shephard, "Unstructured Mesh Partitioning for Adaptive Workflows", USNCCM13. San Diego, CA. July 28, 2015.
C.W. Smith, M. Rasquin, D.A. Ibanez, K.E. Jansen, and M.S. Shephard, "Unstructured Mesh Partitioning to Over One Million Parts", SIAM Computation Science and Engineering. Salt Lake City, UT. March 17, 2015.
Gerrett Diamond, Morteza H. Siboni, Cameron W. Smith, and Mark S. Shephard " Improvements in Curved Mesh Adaptation Procedure for the Omega3P Code ", SCOREC Reports, 2016


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TIMESTAMP
VIZ
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SimpleFeature
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FAMILY
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Epoch Week
2 bytes
Z3(x,y,t)
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(such as UUID)
"F"
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Copyright Note Java Card 2.1 API
All Java Card API implementations must conform to the Java model of parameter checking. That is, the API code should not check for those parameter errors which the VM is expected to detect. These include all parameter errors, such as null pointers, index out of bounds, and so forth, that result in standard runtime exceptions. The runtime exceptions that are thrown by the Java Card VM are:
In some cases, it may be necessary to explicitly check parameters. These exceptions to the policy are documented
in the Java Card API specification. A Java Card API implementation must not perform parameter checking with the
intent to avoid runtime exceptions, unless this is clearly specified by the Java Card API specification.
Note: If multiple erroneous input parameters exist, any one of several runtime exceptions will be thrown by the VM. Java programmers rely on this behavior, but they do not rely on getting a specific exception. It is not necessary (nor is it reasonable or practical) to document the precise error handling for all possible combinations of equivalence classes of erroneous inputs. The value of this behavior is that the logic error in the calling program is detected and exposed via the runtime exception mechanism, rather than being masked by a normal return.


deepnet->deeptree->deepforest
This package aims to provide simple intuitive functions to create quick prototypes of artificial neural network or deep learning models for general purpose application. In addition, check out experimental algorithms from my personal research , deeptree and deepforest for special cases to achieve better accuracy / generalization.
deeptree: This algorithm builds a CART tree to divide the solution space in to leaves and fits an artificial neural network to each leaf. This approach takes advantage of distinct properties of a tree and neural network. It has tendency to overfit but multiple parameters can be tuned to achieve better generalization. This model has a provision to stack predictions from other models(currently stacking is only available for regression).
deepforest: This algorithm builds multiple deepnets/deeptrees from which either best deepnet can be selected by passing all variable and data to each network or random deepnets/deeptrees based on random cuts of variable/data can be combined together over a error choice.
Reach me Out<EMAIL_ADDRESS>for any suggestions and doubts or you can always leave a comment on github.
You can install the released version of deepdive from GitHub with:
devtools::install_github("RajeshB24/deepdive")
This is a basic example which shows you how to solve a common problem:
library(deepdive)
x <- data.frame(a = runif(1000)*100,
b = runif(1000)*200,
c = runif(1000)*100
)
y<- data.frame(y=20*x$a +30* x$b+10*x$c +10)
#Training increase iterations for convergence
modelnet<-deepnet(x,y,c(2,2),
activation = c('relu',"sin"),
reluLeak = 0.001,
modelType = "regress",
iterations =20,
eta=0.8,
optimiser="adam")