Bitten by a radioactive spider, high school student Peter Parker gained the speed, strength and powers of a spider. Adopting the name Spider-Man, Peter hoped to start a career using his new abilities. Taught that with great power comes great responsibility, Spidey has vowed to use his powers to help people.
Wounded, captured and forced to build a weapon by his enemies, billionaire industrialist Tony Stark instead created an advanced suit of armor to save his life and escape captivity. Now with a new outlook on life, Tony uses his money and intelligence to make the world a safer, better place as Iron Man.
Vowing to serve his country any way he could, young Steve Rogers took the super soldier serum to become America's one-man army. Fighting for the red, white and blue for over 60 years, Captain America is the living, breathing symbol of freedom and liberty.
Caught in a gamma bomb explosion while trying to save the life of a teenager, Dr. Bruce Banner was transformed into the incredibly powerful creature called the Hulk. An all too often misunderstood hero, the angrier the Hulk gets, the stronger the Hulk gets.
As the Norse God of thunder and lightning, Thor wields one of the greatest weapons ever made, the enchanted hammer Mjolnir. While others have described Thor as an over-muscled, oafish imbecile, he's quite smart and compassionate. He's self-assured, and he would never, ever stop fighting for a worthwhile cause.
Born with super-human senses and the power to heal from almost any wound, Wolverine was captured by a secret Canadian organization and given an unbreakable skeleton and claws. Treated like an animal, it took years for him to control himself. Now, he's a premiere member of both the X-Men and the Avengers.
Abandoned by his mother, Matt Murdock was raised by his father, boxer "Battling Jack" Murdock, in Hell's Kitchen. Realizing that rules were needed to prevent people from behaving badly, young Matt decided to study law; however, when he saved a man from an oncoming truck, it spilled a radioactive cargo that rendered Matt blind while enhancing his remaining senses. Under the harsh tutelage of blind martial arts master Stick, Matt mastered his heightened senses and became a formidable fighter.
Carol Danvers entered the Air Force upon graduating from high school to pursue her love of aircrafts and her dreams of flying. Carol was a top student at the Air Force Academy and enjoyed a rapid career advancement rising to the rank of Major. Because of her stellar performance, superb combat skills and natural intellect, Carol was recruited into the intelligence field. She ended up serving with the C.I.A., during which time she met and worked with Colonel Nick Fury. She was partnered with Colonel Michael Rossi and the two became lovers. Carol had a distinguished career in the C.I.A.
Natasha Romanova, known by many aliases, is an expert spy, athlete, and assassin. Trained at a young age by the KGB's infamous Red Room Academy, the Black Widow was formerly an enemy to the Avengers. She later became their ally after breaking out of the U.S.S.R.'s grasp, and also serves as a top S.H.I.E.L.D. agent.
Loki is one of several powerful beings from the magical realm of Asgard, who have been worshipped as gods. Odin, once the ruler of the Asgardian gods, led his subjects in a war against their enemy, the frost giants from the land of Jotunheim (one of the nine worlds of Asgard). Laufey, king of the frost giants, was slain in battle and the giants were defeated. Surveying the spoils of war, the Asgardians discovered a small Asgardian god-sized baby hidden at the giants' main fortress. The infant was Loki, whom Laufey had kept hidden due to his shame over his son's diminutive size.
Arguably the greatest and certainly the most horrific creation of scientific genius Dr. Henry Pym, Ultron is a criminally insane rogue sentient robot dedicated to conquest and the extermination of humanity.
Born and raised in Harlem, Carl Lucas spent his youth in a gang called the Bloods. With his friend Willis Stryker, he fought the rival gang the Diablos and committed petty thefts, often on behalf of deformed crimelord Sonny Caputo, a.k.a. Hammer.
Born in 1930, Stephen Strange was the eldest child of Eugene and Beverly Strange, then vacationing in Philadelphia. Two years later, Stephen's sister Donna was born at the family's Nebraska farm. At age eight, Strange was beset by demons controlled by apprentice sorcerer Karl Mordo, but was rescued by Mordo's mentor, the Ancient One, a millennia-old sorcerer who protected the Earth dimension as its Sorcerer Supreme, a role Strange was destined to inherit. At age eleven, a year or two after his brother Victor's birth, Strange aided an injured Donna, the experience inspiring him to pursue a medical career.
Clint Barton was orphaned at an early age when his parents died in a car accident and was sent to a children's home with his brother Bernard. He and his brother ran away to join the Carson Carnival of Traveling Wonders, and the pair worked as roustabouts. While a member of the circus, Hawkeye was trained by the original Swordsman (Jacques Duquesne) and Trickshot. Clint's life, however, would forever be changed after he stumbled onto the Swordsman counting the money he had just robbed from the carnival. The Swordsman offered Clint to become his partner in crime, but Clint rejected his mentor, sparking a fight that ended when the Swordsman left him for dead after he fell from the high wire.
Content from http://marvel.com/


About The LED Cube
The cube has 512 blue LEDs which make up it's 8 layers and 32 columns. All the horizontal layers are the positive pins of the LEDs soldered together. All the negative pins of the LEDs are treated as columns of this matrix cube. These are all wired to an Arduino.
An Arduino is a single-board micro-controller, intended to make the application of interactive objects or environments more accessible. Arduino is an open-source platform for building electronic projects. The Arduino platform consists of a physical programmable microcontroller (circuit board) and an integrated development environment to write and upload code to the physical board. The Arduino IDE uses a simplified version of C++.
Project Pics
Feel free to browse through the progress pics of our project below.
Meet the Team
Karl Redmond
SECOND LIFE ILLUMINATI, CANDY CRUSH SCHOLAR, STEAMPUNK REBEL. ASPIRING BUMPER STICKER.
Mark Kelly
WYSIWYG CLAIRVOYANT, PARKOUR KNOW-IT-ALL, TWITTER CRASH TEST DUMMY.
Ronan Timmons
MOBILE DJ, SECURITY CURATOR, APP DESIGNING FIEND. 50 SHADES OF EARL GREY.
Ger Dobbs
PERSONAL BRANDING MARKETER, GIF PROFESSOR, DIGITAL CONTENT HACKTIVIST. MADE ENTIRELY OF BACON.
David Kelly
DATA MINING KING, SERIAL GOOF, VIRAL CONTENT KNOW-IT-ALL. RUNS WITH SCISSORS.


Film/Discussion featuring
Brainstorm (1983)
Thursday February 17, 7:00 P.M.
with discussion led by Professor Linda Smith
Free Refreshments!
Please address
questions and comments to<EMAIL_ADDRESS>This page was lasted edited on February 19, 2000.
Page Maintained by Ravi Bhatt


QIB awards QR1m to lucky MISK account holder
One loyal Qatar Islamic Bank (QIB) customer was awarded QR1,000,000 (One Million Qatari Riyals). The annual grand prize is given to a lucky QIB MISK account holder as a reward for their savings habit. The Grand Prize Draw of the second year of MISK was conducted in the presence of official representatives from the Ministry of Commerce & Industry and QIB representatives.
Hanady Mohammed Al Mohannadi is the second grand prize winner of QR1m from QIB. She received her grand prize at the QIB Head Office on Grand Hamad Street, in the presence of D. Anand, General Manager – Personal Banking Group, and other QIB senior management team members. The MISK Account is an innovative savings account that aims to encourage savings by building and rewarding positive financial habits. For the last 12 months, every month, two winners were awarded QR50,000 and every week, five winners were awarded QR10,000.
Starting this November and for the next 52 weeks, the number of weekly winners to be rewarded QR10,000 each is increasing to ten. In addition, every month, two lucky winners will win QR50,000, each, for a span of 12 months. The grand prize draw for QR1,000,000 will take place in November 2020. The total number of winners in this new version will be 545 winners and total prizes will reach QR7.4m.
Commenting on her grand prize win, Hanady Al Mohannady, said: “What a dream come true! I opened a MISK Savings Account with QIB to help support my long-term goals and continue to grow my savings, which has proven to be a success.’’
Remarking on the success of the MISK Account, D. Anand, QIB’s Personal Banking Group General Manager, said: “We are delighted to congratulate Mrs. Hanady Al Mohannady for winning the grand prize of One Million Riyals with QIB. The MISK Account is a testament of our commitment to provide customers with relevant financial solutions. At QIB, it is important for us to reward our customers for developing positive financial habits, and therefore we look forward to rewarding many more of our loyal customers with valuable prizes.”
He added: “We’re also pleased to announce the launch of the third round of the MISK Savings Account, to keep encouraging our customers to save more. This year, we are doubling the number of weekly winners we’re awarding, giving our customers a bigger chance to win. One lucky winner will again win the grand prize of one Million Riyals next year.”
All citizens and residents of Qatar are eligible to open a MISK Account for themselves and their children that are under the age of 18
Read also
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QIIB added to MSCI Qatar index
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Mena lending conditions improve in Q2 this year, but at a slower pace
The headline index for the Middle East and North Africa (Mena) improved during Q2, 2019 at a slower pace (.3 pts) while remaining in tightening a territory of 43.
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Siemens Qatar developing critical infrastructure for digitalisation
The affiliate of the German tech and engineering giant—Siemens AG— has been bringing cutting-edge technologies into Qatar to help the country achieve its ambitious goal of becoming a sustainable knowledge-based society.


From classification to regression
Given \(X\in \mathcal{X}\), predict \(Y \in \mathcal{Y}\), Construct prediction rule \(f:\mathcal{X} \rightarrow \mathcal{Y}\)
Quantifies knowledge gained.
Measure of closeness between true label Y and prediction f(X)
0/1 lose:\(loss(Y,f(X))=1_{f(X)\neq Y}\). Risk: probability of error
square loss: \(loss(Y,f(X))=(f(X)-Y)^2\). Risk: mean square error
How well does the predictor perform on average? \[Risk~R(f)=\mathbb{E}[loss(Y,f(X))],~(X,Y)\sim P_{XY}\]
ideal goal: Construct prediction rule \(f^*:\mathcal{X}\rightarrow\mathcal{Y}\) \[f^*=\arg\min_f{E_{XY}[loss(Y,f(X))]}\] (Bayes optimal rule)
Best possible performance: \[\forall f,~R(f^*) \leq R(f)\] (Bayes Risk)
Problem: \(P_{XY}\) is unknown.
Solution: Training data provides a glimpse of \(P_{XY}\) \[\text{(observed)~}\{(X_i,Y_i)\} \sim_{i.i.d} P_{XY}\text{~unknown}\]
Model based approach: use data to learn a model for \(P_{XY}\)
Model-free approach: use data to learn mapping directly
Optimal predictor: \[f^*=\arg\min_f{\mathbb{E}[(f(X)-Y)^2]}\]
Empirical Minimizer: \[\hat{f}_n=\arg\min_{f\in\mathcal{F}}\frac{1}{n}\sum_{i=1}^{n}(f(X)-Y)^2\]
\(\mathcal{F}\) is the class of predictors:
Linear
Polynomial
Nonlinear
\[f(\vec{X})=\sum_{i=0}^{p}{\beta_0X^{i}}=\vec{X}^T\vec{\beta},~where~X^0=1,~\vec{\beta}=[\beta_0,\dots,\beta_p]^T\]
\[\hat{\vec{\beta}}=\arg\min_{\vec{\beta}}(A^T\vec{\beta}-\vec{Y})^T(A^T\vec{\beta}-\vec{Y}),~where~A=[\vec{X_1},\dots,\vec{X_n}]\]
\[J(\beta)=(A^T\vec{\beta}-\vec{Y})^T(A^T\vec{\beta}-\vec{Y})\]
\[\begin{array}{rcl} \frac{\partial J(\vec{\beta})}{\partial \vec{\beta}} & = & \frac{\partial (A^T\vec{\beta}-\vec{Y})^T(A^T\vec{\beta}-\vec{Y})}{\partial \vec{\beta}} \\ & = & \frac{\partial (\vec{\beta}^TAA^T\vec{\beta}-\vec{\beta}^TA\vec{Y}-\vec{Y}^TA^T\vec{\beta}+\vec{Y}^T\vec{Y})}{\vec{\beta}} \\ & = & (AA^T+(AA^T)^T)\vec{\beta}-A\vec{Y}-A\vec{Y} \\ & = & 2AA^T\vec{\beta}-2A\vec{Y} = 0 \\ & \Rightarrow & AA^T\vec{\beta}=A\vec{Y} \\ & \Rightarrow & \hat{\vec{\beta}}=(AA^T)^{-1}A\vec{Y},~\text{if $AA^T$ is invertible} \end{array}\]
Even when \(AA^T\) is invertible, might be computationally expensive if \(A\) is huge; however, \(J(\vec{\beta})\) is convex1 in \(\beta\).
Minimum of a convex function can be reached by gradient descent algorithm:
Initialize: pick \(\vec{w}\) at random
Gradient: \[\nabla_{\vec{w}} l(\vec{w})=[\frac{\partial l(\vec{w})}{\partial w_0},\dots,\frac{\partial l(\vec{w})}{\partial w_d}]^T\]
Update rule: \[\Delta \vec{w}=\eta \nabla_{\vec{w}}l(\vec{w})\], \[w_i^{t+1} \leftarrow w_i^t - \eta \frac{\partial l(\vec{w})}{\partial w_i}|_t\]
Stop: when some criterion met \(\frac{\partial l(\vec{w})}{\partial w_i}|_t < \epsilon\)
\(Rank(AA^T)\) = number of non-zero eigenvalues of \(AA^T\) = number of non-zero singular values of A \(\leq \min(n,p)\) since \(A\) is \(n\times p\)
\[A=U \Sigma V^T \Rightarrow AA^T=U\Sigma^2U^T \Rightarrow AA^T U = U\Sigma^2\]
Ridge Regression (L2 penalty)
\[\begin{array}{rcl} \hat{\vec{\beta}}_{MAP} & = & \arg\min_{\vec{\beta}}(A^T\vec{\beta}-\vec{Y})^T(A^T\vec{\beta}-\vec{Y}) +\lambda \vec{\beta}^T\vec{\beta}~~(\lambda \geq 0) \\ & = & (AA^T + \lambda I)^{-1} A\vec{Y} \end{array}\]
\((AA^T + \lambda I)\) is invertible if \(\lambda > 0\). Proof:
the symmetric matrix \(AA^T\) is positive-semidefinite matrix, because a matrix is positive-semidefinite iff it arises as the Gram matrix of some set of vectors2.
\(\therefore \forall \lambda>0~and~\vec{x}\neq\vec{0}\), \[\vec{x}^T(AA^T)\vec{x} = (A^T\vec{x})^T(A^T\vec{x}) \geq 0\] \[\vec{x}^T(AA^T+\lambda I)\vec{x} = \vec{x}^T (AA^T) \vec{x} + \lambda \vec{x}^T\vec{x} >0\]
\(\therefore\) \((AA^T+\lambda I)\) is positive definite.
\(\therefore\) the eigenvalues of \(B=(AA^T+\lambda I)\) are all positive. \[B\vec{v}=\lambda\vec{v} \Rightarrow \vec{v}^T B \vec{v} = \lambda >0\]
\(\therefore\) \((AA^T + \lambda I)\) is invertible if \(\lambda > 0\)
Why we need constraints: r equations, p unknowns - underdetermined system of linear equations.
\[\min_{\vec{\beta}} J(\beta)+\lambda pen(\vec{\lambda})\]
Ridge Regression: \(pen(\beta)=||\beta||_2^2\)
Lasso Regression: \(pen(\beta)=||\beta||_1\). No closed form solution, but can optimize using sub-gradient descent.
\(pen(\beta)=||\beta||_0=\sum 1_{\beta_i \neq 0}\)
Matlab code:
[B,FitInfo] = lasso(X,Y,Name,Value)
X: Numeric matrix with n rows and p columns. Each row represents one observation, and each column represents one predictor (variable).
Y: Numeric vector of length n, where n is the number of rows of X. Y(i) is the response to row i of X.
’Alpha’: Scalar value from 0 to 1 (excluding 0) representing the weight of lasso (L1) versus ridge (L2) optimization. Alpha = 1 represents lasso regression, Alpha close to 0 approaches ridge regression, and other values represent elastic net optimization. See Definitions. Default: 1
\[Y=f^*(X)+\epsilon=X\beta^*+\epsilon\] \[\epsilon \sim \mathcal{N}(0,\sigma^2I)~~Y\sim\mathcal{N}(X\beta^*,\sigma^2I)\] \[\hat{\beta}_{MLE} = \arg\max_\beta (\log p(\{Y_i\}|\beta,\sigma^2,\{X_i\}))=\arg\min_{\beta}\sum_i(X_i\beta-Y_i)^2\]
Model parameters: \(\beta,\sigma^2\)
Conditional log likelihood: \(\log p(\{Y_i\}|\beta,\sigma^2,\{X_i\})\)
Least Square Estimator is same as Maximum Conditional Likelihood Estimator under a Gaussian model.
If \(AA^T\) is not invertible.
\[Y=f^*(X)+\epsilon=X\beta^*+\epsilon\] \[\epsilon \sim \mathcal{N}(0,\sigma^2I)~~Y\sim\mathcal{N}(X\beta^*,\sigma^2I)\] (1) Gaussian prior: \[\beta \sim \mathcal{N}(0,\tau^2 I)~~p(\beta) \propto \exp(-\beta^T\beta/2\tau^2)\] \[\hat{\beta}_{MAP} = \arg\max_\beta \log p(\{Y_i\}|\beta,\sigma^2,\{X_i\}) +\log p(\beta)=\arg\min_{\beta}\sum_i(X_i\beta-Y_i)^2+\lambda(\sigma^2,\tau^2)||\beta||_2^2\] (2) Laplace prior: \[\beta \sim Laplace(0,t)~~p(\beta_i) \propto \exp(-|\beta_i|/t)\] \[\hat{\beta}_{MAP} = \arg\max_\beta \log p(\{Y_i\}|\beta,\sigma^2,\{X_i\}) +\log p(\beta)=\arg\min_{\beta}\sum_i(X_i\beta-Y_i)^2+\lambda(\sigma^2,\tau^2)||\beta||_1\]
Model parameters: \(\beta,\sigma^2\)
Conditional log likelihood: \(\log p(\{Y_i\}|\beta,\sigma^2,\{X_i\})\)
Log prior: \(\log p(\beta)\)
Univariate: \(f(X)=\sum{\beta_iX^i}=[1, X, X^2, \dots, X^m]^T\beta\) \[\hat{\beta}=(AA^T)^{-1}AY~or~(AA^T+\lambda I)^{-1}AY\]
Multivariate: \(f(X) = \sum_i{\beta_i X^{(i)}} + \sum_{i,j}{\beta_{i,j} X^{(i)} X^{(j)}}+\sum_{i,j,k}{\beta_{i,j,k} X^{(i)} X^{(j)}X^{(k)}}+\dots\)
Large bias, small variance: poor approximation but robust/stable
Small bias, large variance: good approximation but unstable
Bias-Variance Decomposition: \[E[(f(X)-f^*(X))^2] = Bias^2 + Variance\]
\(Bias = E[f(X)] - f^*(X)\): How far is the model from best model.
\(Variance = E[(f(X)-E[f(X)])^2]\): How variable is the model.
\[f(X)=\sum_i \beta_i \phi_i(X)\]


Who are we?
Job Portals are a global online employment solution for people seeking jobs and the employers who need good additions to their companies. JobStudio is backed by a dedicated team
who wishes to change the stigma around work and employment, and help people get the jobs that are aligned with their passions and interests.
Why JobStudio?
We've designed an integrated and easy-to-use approach that helps all domains of users. JobStudio helps employees find the jobs according to their own desire and employers can take advantage of the vast userbase of qualified, passionate employees.
Time and money can be saved by not going for adverts and other consuming methods of communication. We give you the easy way around, completely for free at JobStudio.


ROS production in LPS-stimulated astrocytes. Astrocytes were induced with LPS (1 μg/mL) and then incubated for 24 h with 100 μg/mL of Rhaponticum carthamoides HR and SGR essential oils. Values are given as means ± SD of three independent experiments. ∗ p < 0.05 versus control; # p < 0.05 HR essential oil versus SGR essential oil.
) )Figure 4
)


Our favorite press...
“Fast and impressive... beautiful and responsive...if you want to see how good a web application can be, take Picnik for a spin.”
—Walt Mossberg, Wall Street Journal
“...Picnik offers the editing capabilities of photo-editing software that costs $80 or more and also syncs up easily to your favorite photo-hosting sites...”
—www.pcmag.com, December 14, 2007
“There was a time when you really needed Photoshop, or some other installed software, to edit a photo. Picnik was one of the real standouts of this year, not only for its slick look and feel, but because it gives fantastic results without requiring users to know much at all about editing.”
—CNET Webware, “Hits and Misses of 2007,” December 2007
“...in addition to handling the basics — exposure, saturation, and red-eye removal — you can paint on a blur effect, draw notes and doodles, apply frames, and enhance colors. Even more impressive is the speed at which all of this happens — the site is as responsive as a desktop program.”
—Macworld, 23rd Annual Editors' Choice Awards, December 2007
“Picnik is the World's best online photo editor. We mean it.”
—Amit Gupta, Photojojo.com
“Picnik lets you clean up your pictures without knowing a thing about photo editing.”
—TIME Magazine
“Picnik is simpler and more intuitive than most desktop apps, and it's also just as fast.”
—Pete Cashmore, Mashable.com
“Makes online digital photo editing a snap.”
—Los Angeles Times


List of all members.
Public Member Functions |
|
| clsList ($sTag, $aConfiguration=array()) |
|
| addItem ($mItem, $mConfiguration=null) |
|
| addItems ($aItems, $mConfiguration=null) |
|
| clearEvent_AddItem () |
|
| setEvent_AddItem ($mFunction) |
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& | _onAddItem ($mItem, $mConfiguration) |
Detailed Description
Definition at line 36 of file group.inc.php.
The documentation for this class was generated from the following file:


ONOS - Topology Creator was developed using Angular framework and Vis.js visualization library. More details can be found here: https://bkcs.dynu.net/tuanct/IT4711-TopoCreator.


T
- the type of the defined resultpublic interface CriteriaQuery<T> extends AbstractQuery<T>
CriteriaQuery
interface defines functionality that is specific
to top-level queries.| Modifier and Type | Method and Description |
|---|---|
CriteriaQuery<T> |
distinct(boolean distinct)
Specify whether duplicate query results will be eliminated.
|
java.util.List<Order> |
getOrderList()
Return the ordering expressions in order of precedence.
|
java.util.Set<ParameterExpression<?>> |
getParameters()
Return the parameters of the query.
|
CriteriaQuery<T> |
groupBy(Expression<?>... grouping)
Specify the expressions that are used to form groups over
the query results.
|
CriteriaQuery<T> |
groupBy(java.util.List<Expression<?>> grouping)
Specify the expressions that are used to form groups over
the query results.
|
CriteriaQuery<T> |
having(Expression<java.lang.Boolean> restriction)
Specify a restriction over the groups of the query.
|
CriteriaQuery<T> |
having(Predicate... restrictions)
Specify restrictions over the groups of the query
according the conjunction of the specified restriction
predicates.
|
CriteriaQuery<T> |
multiselect(java.util.List<Selection<?>> selectionList)
Specify the selection items that are to be returned in the
query result.
|
CriteriaQuery<T> |
multiselect(Selection<?>... selections)
Specify the selection items that are to be returned in the
query result.
|
CriteriaQuery<T> |
orderBy(java.util.List<Order> o)
Specify the ordering expressions that are used to
order the query results.
|
CriteriaQuery<T> |
orderBy(Order... o)
Specify the ordering expressions that are used to
order the query results.
|
CriteriaQuery<T> |
select(Selection<? extends T> selection)
Specify the item that is to be returned in the query result.
|
CriteriaQuery<T> |
where(Expression<java.lang.Boolean> restriction)
Modify the query to restrict the query result according
to the specified boolean expression.
|
CriteriaQuery<T> |
where(Predicate... restrictions)
Modify the query to restrict the query result according
to the conjunction of the specified restriction predicates.
|
from, from, getGroupList, getGroupRestriction, getResultType, getRoots, getSelection, isDistinct
getRestriction, subquery
CriteriaQuery<T> select(Selection<? extends T> selection)
Note: Applications using the string-based API may need to specify the type of the select item when it results from a get or join operation and the query result type is specified.
For example: CriteriaQuery<String> q = cb.createQuery(String.class); Root<Order> order = q.from(Order.class); q.select(order.get("shippingAddress").<String>get("state")); CriteriaQuery<Product> q2 = cb.createQuery(Product.class); q2.select(q2.from(Order.class) .join("items") .<Item,Product>join("product"));
selection
- selection specifying the item that
is to be returned in the query resultjava.lang.IllegalArgumentException
- if the selection is
a compound selection and more than one selection
item has the same assigned aliasCriteriaQuery<T> multiselect(Selection<?>... selections)
An argument to the multiselect method must not be a tuple- or array-valued compound selection item.
The semantics of this method are as follows:
CriteriaQuery<Tuple>
(i.e., a criteria
query object created by either the
createTupleQuery
method or by passing a
Tuple
class argument to the
createQuery
method), a Tuple
object
corresponding to the arguments of the multiselect
method, in the specified order, will be instantiated and
returned for each row that results from the query execution.
CriteriaQuery<X>
for
some user-defined class X (i.e., a criteria query object
created by passing a X class argument to the createQuery
method), the arguments to the multiselect
method will be
passed to the X constructor and an instance of type X will be
returned for each row.
CriteriaQuery<X[]>
for
some class X, an instance of type X[] will be returned for
each row. The elements of the array will correspond to the
arguments of the multiselect
method, in the
specified order.
CriteriaQuery<Object>
or if the criteria query was created without specifying a
type, and only a single argument is passed to the multiselect
method, an instance of type Object
will be returned for
each row.
CriteriaQuery<Object>
or if the criteria query was created without specifying a
type, and more than one argument is passed to the multiselect
method, an instance of type Object[]
will be instantiated
and returned for each row. The elements of the array will
correspond to the arguments to the multiselect
method,
in the specified order.
selections
- selection items corresponding to the
results to be returned by the queryjava.lang.IllegalArgumentException
- if a selection item is
not valid or if more than one selection item has
the same assigned aliasCriteriaQuery<T> multiselect(java.util.List<Selection<?>> selectionList)
The type of the result of the query execution depends on
the specification of the type of the criteria query object
created as well as the argument to the multiselect
method.
An element of the list passed to the multiselect
method
must not be a tuple- or array-valued compound selection item.
The semantics of this method are as follows:
CriteriaQuery<Tuple>
(i.e., a criteria query object created by either the
createTupleQuery
method or by passing a Tuple
class argument
to the createQuery
method), a Tuple
object corresponding to
the elements of the list passed to the multiselect
method,
in the specified order, will be instantiated and returned for each
row that results from the query execution.
CriteriaQuery<X>
for
some user-defined class X (i.e., a criteria query object
created by passing a X class argument to the createQuery
method), the elements of the list passed to the multiselect
method will be passed to the X constructor and an instance
of type X will be returned for each row.
CriteriaQuery<X[]>
for
some class X, an instance of type X[] will be returned for
each row. The elements of the array will correspond to the
elements of the list passed to the multiselect
method,
in the specified order.
CriteriaQuery<Object>
or if the criteria query was created without specifying a
type, and the list passed to the multiselect
method contains
only a single element, an instance of type Object
will be
returned for each row.
CriteriaQuery<Object>
or if the criteria query was created without specifying a
type, and the list passed to the multiselect
method contains
more than one element, an instance of type Object[]
will be
instantiated and returned for each row. The elements of the
array will correspond to the elements of the list passed to
the multiselect
method, in the specified order.
selectionList
- list of selection items corresponding
to the results to be returned by the queryjava.lang.IllegalArgumentException
- if a selection item is
not valid or if more than one selection item has
the same assigned aliasCriteriaQuery<T> where(Expression<java.lang.Boolean> restriction)
AbstractQuery
method.where
in interface AbstractQuery<T>
restriction
- a simple or compound boolean expressionCriteriaQuery<T> where(Predicate... restrictions)
AbstractQuery
method.where
in interface AbstractQuery<T>
restrictions
- zero or more restriction predicatesCriteriaQuery<T> groupBy(Expression<?>... grouping)
AbstractQuery
method.groupBy
in interface AbstractQuery<T>
grouping
- zero or more grouping expressionsCriteriaQuery<T> groupBy(java.util.List<Expression<?>> grouping)
AbstractQuery
method.groupBy
in interface AbstractQuery<T>
grouping
- list of zero or more grouping expressionsCriteriaQuery<T> having(Expression<java.lang.Boolean> restriction)
AbstractQuery
method.having
in interface AbstractQuery<T>
restriction
- a simple or compound boolean expressionCriteriaQuery<T> having(Predicate... restrictions)
AbstractQuery
method.having
in interface AbstractQuery<T>
restrictions
- zero or more restriction predicatesCriteriaQuery<T> orderBy(Order... o)
o
- zero or more ordering expressionsCriteriaQuery<T> orderBy(java.util.List<Order> o)
o
- list of zero or more ordering expressionsCriteriaQuery<T> distinct(boolean distinct)
AbstractQuery
method.distinct
in interface AbstractQuery<T>
distinct
- boolean value specifying whether duplicate
results must be eliminated from the query result or
whether they must be retainedjava.util.List<Order> getOrderList()
java.util.Set<ParameterExpression<?>> getParameters()


--- title: Pth and ncurses layout: post tags: [c] uuid: 6164246d-d4c0-3a3f-7842-86cbdad69b87 ---
I've learned how to use the curses/ncurses library recently, and I decided to experiment with threading while using ncurses. This posed another learning opportunity: a chance to learn more about GNU Pth, a non-preemptive, userspace threading library. It's a really cool trick to get threading into any C program on any platform. I've used POSIX threads, Pthreads, before, so Pth is totally new to me.
The idea was this: a ticking timestamp string that I can move around the screen with the arrow keys. One thread will keep the clock up to date, and the other listens for user input and changes the clock coordinates.
The ncurses function for getting a key from the user
is getch()
. By default, it blocks waiting for the user to
press a key, which is returned. Unfortunately, this doesn't interact
with Pth well at all.
Pth threads are userspace threads rather than system threads. This means the operating system kernel is completely unaware of them, so they are managed by a userspace scheduler and the Pth threads all run inside a single system thread. Because of this, Pth threads can never take advantage of hardware parallelism. This disadvantage comes with the advantage of portability (hence the name "portable threads"). It can be used on systems that provide no threading support.
Pth threads are also non-preemptive. This means the thread currently in control must eventually choose to yield control to other threads, cooperating with them. Preemptive threads take control from each other, so they never have to yield. Fortunately, the Pth library sneaks in implicit yielding, so you usually don't have to worry about this when using Pth. You can generally treat the Pth threads as if they were preemptive.
As I was saying, Pth wasn't behaving well with ncurses. When I
called getch()
my entire program, all threads, were
getting blocked too, which defeats the whole purpose of threading. I
switched to Pthreads to see if it was a mistake on my part, or an
issue with Pth. Pthreads was working just fine, so I had to figure out
what I was doing wrong with Pth.
I did manage to get Pth to behave the same was as the Pthreads, but it
took two significant extra changes. Here's a code listing. There's
also a mutex synchronized draw_clock()
function not shown
here. I've written it so that I could easily switch back and forth
between the two threading libraries.
Notice the two (bolded) differences in the code between Pth and
Pthreads, in the USE_PTH
sections. The Pth implementation
uses the halfdelay()
function, which
tells getch()
to be less blocking. The argument tells it
to return with an error if nothing happens within one tenth of a
second. This means our main polling loop will execute about 10 times a
second when nothing is happening.
The second change is an explicit yield, because Pth doesn't place any implicit yields in the loop. Without the yield the same problem remains.
I'm not happy with either of these
changes. Making getch()
behave like non-blocking input is
very hackish. If I extend my program I'll always have to be careful
when I call getch()
, since it's (essentially)
non-blocking. I'll also have to make sure I always yield when polling
with getch()
. So how do I fix this? First, let's see why
we need that explicit yield. Pth is supposed to be hiding that from
me.
How does Pth insert implicit yielding? I've been aware of Pth for years, and I've always wondered about this, but never bothered to look. I dug into the Pth sources.
Pth inserts yields before some of the common blocking operations. It
has its own definitions for functions such as read()
,
write()
, fork()
,
and system()
. This is where the implicit yielding is
injected. It steals your calls to these functions, using its own
functions. Here's the relevant section of pth.h
, where
the "soft" version of this happens (the "hard" version
uses syscall()
, operating at a lower level),
Its own functions wrap the real deal, but suspend themselves on an
awaiting event and yield. Any time the scheduler runs, it polls for
these events, using select()
in the case of input/output,
and will wake these threads back up if the required event occurs.
The problem with getch()
is that Pth doesn't know about
it, so it doesn't get a chance to handle it properly. After taking a
look at the implementation for pth_read()
, I
fixed getch()
for my program,
It tells the Pth scheduler that the thread wants to be suspended until
there's something to read on stdin
(file descriptor
0
). This prevents the system thread that everyone is
counting on from blocking. With this redefinition I went back and
removed the two Pth additions, halfdelay()
and the yield,
and it now behaves exactly the same way as the Pthreads version. Fixed!
If you use any other libraries, you'll need to do this for any long-blocking function that Pth doesn't already catch.
If you want to see this in action, here's the full
source: clock.c
. You can
choose the threading library to use,
gcc -lncurses -lpth -DUSE_PTH clock.c -o clock_pth gcc -lncurses -pthread clock.c -o clock_pthread
Update: I've just discovered that Debian and Debian-based
systems
have implicit yeilding disabled by default. You may have needed to
add this before the pth.h
include.
This is now in the linked source.


An Appender that Buffers LogEvents in-memory and and redirects them to other Appenders once certain conditions are met.
x <- AppenderBuffer$new(threshold = NA_integer_, layout = LayoutFormat$new(fmt = "%L [%t] %m", timestamp_fmt = "%H:%M:%S", colors = getOption("lgr.colors")), appenders = NULL, buffer_size = 1000, flush_threshold = "fatal", flush_on_exit = TRUE, flush_on_rotate = TRUE, should_flush = default_should_flush, filters = NULL) x$flush() x$set_appenders(x) x$add_appender(appender, name = NULL) x$remove_appender(pos) x$append(event) x$set_buffer_size(x) x$set_should_flush(x) x$set_flush_on_exit(x) x$set_flush_on_rotate(x) x$set_flush_threshold(level) x$show(threshold = NA_integer_, n = 20L) x$set_threshold(level) x$set_layout(layout) x$filter(event) x$add_filter(filter, name = NULL) x$remove_filter(pos) x$set_filters(filters) x$appenders x$destination x$buffer_df x$buffer_dt x$buffer_events x$buffer_size x$flush_on_exit x$flush_on_rotate x$flush_threshold x$should_flush x$layout x$threshold x$filters
The Layout for this Appender is used only to format console output of
its $show()
method.
appenders
, set_appenders()
Like for a Logger. Buffered events will be passed on to these Appenders once a flush is triggered
flush_on_exit, set_flush_on_exit(x)
TRUE
or FALSE
: Whether the
buffer should be flushed when the Appender is garbage collected (f.e when
you close R)
flush_on_rotate, set_flush_on_rotate
TRUE
or FALSE
: Whether
the buffer should be flushed when the Buffer is full (f.e when you close
R). Setting this to off can have slightly negative performance impacts.
buffer_size, set_buffer_size(x)
integer
scalar >= 0
Number of
LogEvents to buffer.
buffer_events
, buffer_df
, buffer_dt
The contents of the buffer as a list
of LogEvents, a
data.frame
or a data.table
.
flush_threshold
, set_flush_threshold()
integer
or character
log level. Minimum event level that will trigger flushing of
the buffer. This behaviour is implemented through should_flush()
,
and you can modify that function for different behaviour.
should_flush(event)
, set_should_flush(x)
A function with exactly one arguments: event
.
If the function returns TRUE
, flushing of the buffer
is triggered. Defaults to flushing if an event of level error
or higher is registered.
dt
Get the log recorded by this Appender
as a data.table
with a maximum of buffer_size
rows
data
Get the log recorded by this Appender
as a data.frame
threshold
, set_threshold(level)
character
or integer
scalar.
The minimum log level that triggers this logger. See log_levels
layout
, set_layout(layout)
a Layout
that will be used for
formatting the LogEvents
passed to this Appender
destination
The output destination of the Appender
in
human-readable form (mainly for print output)
filters
, set_filters(filters)
a list
that may contain
functions
or any R object with a filter()
method. These functions
must have exactly one argument: event
which will get passed the
LogEvent when the Filterable's filter()
method is invoked.
If all of these functions evaluate to TRUE
the LogEvent is passed on.
Since LogEvents have reference semantics, filters can also be abused to
modify them before they are passed on. Look at the source code of
with_log_level()
or with_log_value()
for examples.
flush()
Manually trigger flushing
add_appender(appender, name = NULL)
, remove_appender(pos)
Add or remove an Appender. Supplying a name
is optional but
recommended. After adding an Appender with
appender$add_appender(AppenderConsole$new(), name = "console")
you can
refer to it via appender$appenders$console
. remove_appender()
can
remove an Appender by position or name.
flush()
Manually trigger flushing of the buffer
show(n, threshold)
Show the last n
log entries with a log level
bellow threshold
. The log entries will be formatted for console output
via this Appenders Layout
append(event)
Tell the Appender to process a LogEvent event
.
This method is usually not called by the user, but invoked by a
Logger
filter(event)
Determine whether the LogEvent x
should be passed
on to Appenders (TRUE
) or not (FALSE
). See also the active binding
filters
add_filter(filter, name = NULL)
, remove_filter(pos)
Add or remove a filter. When adding a filter an optional name
can
be specified. remove_filter()
can remove by position or name (if one
was specified)
Both AppenderBuffer and AppenderDt do in memory buffering of events.
AppenderBuffer retains a copies of the events it processes and has the
ability to pass the buffered events on to other Appenders. AppenderDt
converts the events to rows in a data.table
and is a bit harder to
configure. Used inside loops (several hundred iterations),
AppenderDt has much less overhead than AppenderBuffer. For single logging
calls and small loops, AppenderBuffer is more performant. This is related to
how memory pre-allocation is handled by the appenders.
In short: Use AppenderDt if you want an in-memory log for interactive use, and AppenderBuffer if you actually want to buffer events
Other Appenders: AppenderConsole
,
AppenderDbi
, AppenderFile
,
AppenderGmail
, AppenderJson
,
AppenderPushbullet
,
AppenderRjdbc
,
AppenderSendmail
,
AppenderTable
, Appender


DigiDoc4j hwcrypto demo webapp
This is a Demo webapp for digital signig with the combination of
hwcrypto.js on the frontend and DigiDoc4j on the backend.
Preparations:
- Install your country specific eID driver software.
- Install Chrome Token Signing Software for giving eSignatures in Google Chrome.
- Make sure you are accessing the page over HTTPS.
Peek into JavaScript console for more verbose background information.


--- layout: null section-type: about title: About --- ## About Course description:
Introduces the foundations of automata theory, computability theory, and complexity theory. Shows relationship between automata and formal languages. Addresses the issue of which problems can be solved by computational means (decidability vs undecidability), and Introduces concepts related to computational complexity of problems. Requisites: Discrete Structures / Discrete Mathematics Undergraduate Algorithms Support the repo by starring or forking it!


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Clothing Fabrics African Fabric & Designs Bags Yallo Blankets Khalayi Leso Africa Sokoni Clothes Kilimall Footwear Batakenya
Foods Fruits Kalimonigreens Spices Simbambili Vegetables Kalimonigreens Meat Kalimonigreens Herbs Favaherb Beverages Keroche Breweries


"I study German and French. I think languages are quite interesting because you get little nuances in words that reveal something about the culture of that language. My sweatshirt says, 'Crap, I left my unicorn in the spaceship!', in case you were wondering..."
"Hi, I’m Giles, third year studying Film and Literature. When I came to Warwick I didn’t intend to get anything resembling a campus reputation. I knew I had one however when I was asked if I was the guy who brought in a wooden katana and had security called on him. I was running for a Society President role and, for some reason, really thought it would be a good idea to bring one in. Whether this is a good thing or something to clarify in job interviews as “it’s worse than it sounds” has yet to be revealed."
"BRRRRRRRRRRRRRRRRRRRRRRRR"
"I can't decide if it's odd or nice, maybe I have an anonymous friend or a stalker. I get parcels in the post that I haven't ordered. The first one was a remote controlled rat and the second were pink princess balloons..... I don't think they're from a friend."
"I'm mildly obsessed with painting my nails and I recently had one break, so my dad glued it back together with Araldite. I mean, it worked!"
"University is hard, I can from a small village went to a small school where you were valued for your ideas and appreciated. At uni half the people on my own course don't know who I am, my whole school knew I was before, now no one does."
"They say university is meant to be the best part of your life, everyone says they enjoy it and they join all these societies. I've tried but I don't drink and they always seem too cliquey and I end up standing in the corner by myself while people enjoy hanging out with their friends. I'm better off staying at home alone, at least I have TV."
"First year has been fun. I've made new friends, joined new clubs, started new sports and found my house for next year. However I haven't put much effort in and they say you have to in second year, does that mean next year won't be as good. Everyone moans about the buses, I think I'm not going to be able to attend uni events as a result or not be able to balance my work load even if I try to..."
"This is my final year. I can't wait to go. The university is so unsupportive, my friends have dropped out because of it, other friends go home as much as possible, I live to get away from home to do that. I don't know if it's just my course but I'm really worried about the future and I know no one will care."


Bromalla Marathon
Bromalla SWE
Race Winners
(37 runnings)
01 Sep
2007
02 Sep
2006
06 Aug
2005
07 Aug
2004
2003
2002
2001
08 Jul
2000
1999
1998
1997
1996
1995
1994
1993
1992
1991
1990
1989
1988
1987
1986
1985
1984
1983
1982
1981
1980
Notes: 1980 is believed to have been the inaugural year.
10 Sep
2016
3:01:29
Andreas-Kemi Rehnborg-2
3:29:39
Maria Goransson (SWE)
29 Aug
2015
2:51:19
Patric Astren (SWE)
3:37:11
Anna Sjöberg (SWE)
21 Sep
2014
2:49:40
Albin Ingmarsson (SWE)
3:25:14
Susanne Ingmarsson (SWE)
03 Nov
2013
2:38:08
David Petersson (SWE)
3:14:23
Pernilla Lundberg-2
10 Nov
2012
2:32:28
Michael Mustaniemi (SWE)
2:55:28
Petra Skiöld-2
13 Nov
2011
2:41:08
Michael Kalebo (SWE)
3:14:08
Pernilla Lundberg (SWE)
14 Nov
2010
2:45:03
Petri Huhtala (FIN)
3:17:13
Eva Lönnqvist (SWE)
01 Nov
2009
2:36:20
Andreas-Kemi Rehnborg (SWE)
3:14:16
Ida-Bladh Johannson (SWE)
09 Nov
2008
2:47:55
Ludovic Vaugarny (SWE)
3:35:52
Petra Skiöld (SWE)
2:59:41
Jörgen Holmqvist-2
3:42:23
Susanne Johansson (SWE)
2:50:33
Jörgen Holmqvist (SWE)
3:21:54
Caroline Aistrup-3
2:48:16
Joakim Parsson (SWE)
3:21:19
Caroline Aistrup-2
2:57:18
Johan Sand-2
3:30:09
Caroline Aistrup (SWE)
2:38:46
Reimar Hartikainen (40,SWE)
---
n/a
2:43:21
Johan Sand (SWE)
---
n/a
3:03:37
Fredrik Henriksson (SWE)
---
n/a
3:03:00
A Bengtsson-2
3:12:33
Catarina Asph (SWE)
2:27:40
Bengt Mattsson (37,SWE)
---
n/a
3:01:47
Sören Meurling (SWE)
---
n/a
2:41:59
O Jonsson (SWE)
---
n/a
2:50:11
A Bengtsson (SWE)
---
n/a
---
n/a
---
n/a
---
n/a
---
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---
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---
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---
n/a
---
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---
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---
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---
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---
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---
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---
n/a
---
n/a
---
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---
n/a
---
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---
n/a
Most Wins
(1980/date)
Men
2
A
Bengtsson (SWE)
1996,2000
Johan Sand (SWE)
2002,2004
Jörgen Holmqvist (SWE)
2006-07
Women
3
Caroline Aistrup (SWE)
2004-06
Prize Money
(ADR qualified runners)
No information on prize money has been received for this race.
Race Time Bias
(sec/km)
Insufficient data to calculate the race time bias.
Competitive Level
(1990-date)
Insufficient data to calculate the competitive level.
Quality Performances
Men no men under 2:20 Women no women under 2:50
Last Updated on 18 Sep 2016
Contributor: Klaas Loonstra (15)


/*
* Copyright (c) 2018, WSO2 Inc. (http://www.wso2.org) All Rights Reserved.
*
* WSO2 Inc. licenses this file to you under the Apache License,
* Version 2.0 (the "License"); you may not use this file except
* in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
/* eslint react/prefer-stateless-function: ["off"] */
import CircularProgress from "@material-ui/core/CircularProgress/CircularProgress";
import Grid from "@material-ui/core/Grid/Grid";
import HttpUtils from "../../../utils/api/httpUtils";
import NotFound from "../error/NotFound";
import React from "react";
import StateHolder from "./stateHolder";
import {withRouter} from "react-router-dom";
import {withStyles} from "@material-ui/core";
import * as PropTypes from "prop-types";
// Creating a context that can be accessed
const StateContext = React.createContext({});
const styles = () => ({
container: {
minHeight: "100%",
bottom: 0
}
});
class UnStyledStateProvider extends React.Component {
constructor(props) {
super(props);
this.state = {
isLoading: true,
isConfigAvailable: false
};
this.mounted = false;
const queryParams = HttpUtils.parseQueryParams(props.location.search);
this.stateHolder = new StateHolder(queryParams);
}
componentDidMount = () => {
const self = this;
self.mounted = true;
self.stateHolder.loadConfig()
.then(() => {
if (self.mounted) {
self.setState({
isLoading: false,
isConfigAvailable: true
});
}
})
.catch(() => {
if (self.mounted) {
self.setState({
isLoading: false
});
}
});
};
componentWillUnmount = () => {
this.mounted = false;
};
render = () => {
const {children, classes} = this.props;
const {isLoading, isConfigAvailable} = this.state;
const content = (
isConfigAvailable
? children
: <NotFound title={"Failed to Load Cellery Observability Portal Configuration"}/>
);
return (
<StateContext.Provider value={this.stateHolder}>
{
isLoading
? (
<Grid container justify="center" alignItems="center"
className={classes.container}>
<Grid item>
<CircularProgress size={60}/>
</Grid>
</Grid>
)
: content
}
</StateContext.Provider>
);
};
}
UnStyledStateProvider.propTypes = {
children: PropTypes.any.isRequired,
classes: PropTypes.any.isRequired,
location: PropTypes.shape({
search: PropTypes.string.isRequired
}).isRequired
};
const StateProvider = withStyles(styles, {withTheme: true})(withRouter(UnStyledStateProvider));
/**
* Higher Order Component for accessing the State Holder.
*
* @param {React.ComponentType} Component component which needs access to the state.
* @returns {React.ComponentType} The new HOC with access to the state.
*/
const withGlobalState = (Component) => {
class StateConsumer extends React.Component {
render = () => {
const {forwardedRef, ...otherProps} = this.props;
return (
<StateContext.Consumer>
{(state) => <Component globalState={state} ref={forwardedRef} {...otherProps}/>}
</StateContext.Consumer>
);
};
}
return React.forwardRef((props, ref) => <StateConsumer {...props} forwardedRef={ref} />);
};
export default withGlobalState;
export {StateProvider, StateHolder};
|


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{% extends "app/layout.html" %} {% block content %}
| Sources | Win Odds | Draw Odds | Lose Odds |
|---|---|---|---|
| Bet365 | {{B365H}} | {{B365A}} | {{B365D}} |
| BetWin | {{BWH}} | {{BWA}} | {{BWD}} |
Note: The odds are applied to the home team.
 -  -
You choosed: {{HomeTeam}}
{% if FTR == 'H' %}
You choosed: Draw
{% if FTR == 'H' %}
You choosed: {{AwayTeam}}
{% if FTR == 'H' %}


Welcome to Memphis
Memphis is a city located along the Mississippi River in southwestern Shelby County, Tennessee, United States.
The 2017 city population was 652,236,[5] making Memphis the 25th largest city in the United States.
Greater Memphis is the 42nd largest metropolitan area in the United States, with a population of 1,348,260 in 2017.[6]
The city is the anchor of West Tennessee and the greater Mid-South region, which includes portions of neighboring Arkansas and Mississippi.
Memphis is the seat of Shelby County, the most populous county in Tennessee.
As one of the most historic and cultural cities of the southern United States, the city features a wide variety of landscapes and distinct neighborhoods.
History
The first European explorer to visit the area of present-day Memphis was Spanish conquistador Hernando de Soto in 1541 with his expedition into the
New World. The high bluffs protecting the location from the waters of the Mississippi would then be contested between the Spanish, French, and the
English as Memphis took shape. Modern Memphis was founded in 1819 by three prominent Americans: John Overton, James Winchester, and future president
Andrew Jackson.[7]
Memphis grew into one of the largest cities of the Antebellum South as a market for agricultural goods, natural resources like lumber, and the
American slave trade. After the American Civil War and the end of slavery, the city experienced even faster growth into the 20th century as it
became among the largest world markets for cotton[8] and lumber.
Home to Tennessee's largest African-American population, Memphis played a prominent role in the American civil rights movement and was the site of
Dr. Martin Luther King, Jr.'s 1968 assassination. The city now hosts the National Civil Rights Museum—a Smithsonian affiliate institution.
Since the civil rights era, Memphis has grown to become one of the nation's leading commercial centers in transportation and logistics.
The city's largest employer is the multinational courier corporation FedEx, which maintains its global air hub at Memphis International Airport,
making it the second-busiest cargo airport in the world.
The great city of Memphis
Today, Memphis is a regional center for commerce, education, media, art, and entertainment.
The city has long had a prominent music scene,[10] with historic blues clubs on Beale Street originating the unique Memphis blues sound during early 20th century.
The city's music has continued to be shaped by a multi-cultural mix of influences across the blues, country, rock n' roll, soul, and hip-hop genres.
Memphis barbecue has achieved international prominence, and the city hosts the World Championship Barbecue Cooking Contest, which attracts over 100,000 visitors to the city annually.
The information source along with more can be found here


Static Properties
Prebuffer trivial files into memory, up to the given number of bytes across all uploaded files. Handy for handling small file uploads (such as user avatars) in an application where file uploads are not a significant feature.
Require that the Agent be logged into the application to use access this Action.
Require that the Agent have same-origin access priveleges in the client context to use this Action. This secures against XSS attacks in the browser.
This Action will not appear during OPTIONS requests.
This Action's schemata will not be reported during OPTIONS requests.
If true, accept unknown content types and pass them, as well as multipart/form-data
requests,
to the Action as streams. The passed request.body
will be a ReadableStream
instance.
When binaryStreams is set and so is neverBuffer
, the [request body]
(.Request.body) is always a stream
.
Member Properties
When generating html with a template but never when generating a JSON response, response
content
is non-destructively deep-merged over this Object. To put
it another way, context
sets default content for html pages.
As an alternative to setting the route when activating the Action
you
may set it in the configuration. Routes specified in addAction
override configured routes.
When a route is set as a String, it is prepended with a forward slash if none is present and
converted to a regular expression of the form /pathname(?:/(.*))?
.
Methods
Called during the parent server's initialization stage, before the server has begun accepting requests. It's usually the best time to establish database access. Two arguments are passed:


A1 comprehensive introduction to unit-testing and mocking with Python3
Unit testing is quickly becoming a must for all job adverts. There are a few people who don’t like Test Driven Development(TDD), but at least they agree on the value, automation testing(not only unit tests) add to the overall code quality and to the debugging process.
By the time of writing, according to dice.com, TDD is enjoying increased popularity year after year.
Without further ado, let’s start our journey. You can download the source code from here
A small background on unit tests
Suppose we have a new functionality, which implements a shopping cart, which we want to test. There are two big families of test methodologies, that we can use. The automated and the non-automated ones.
If we choose a non-automated way, we can use for example our mouse or keyboard to add some products to the cart and verify the functionality ‘as a user’. And that was the most popular way to test software for a very long time. But as new and exciting test frameworks were being created, people have started shifting their attention towards automated test methodologies.
The automated way requires the developer to write some bytes of code, which test the (business)logic. Given the shopping cart, in the previous paragraph, instead of clicking here and there, we would use code to make this happen automatically. It is like test scenarios executed by the machine, instead of a human.
##Get dirty(with code) ##
In the example code above, I have written a small utility which does few basic operations on the filesystem. Let’s dive into the source code and the relevant test cases, to understand the unit testing better.
import os
def create_file(target_directory, new_file_name):
if check_dir_exists(target_directory) and not check_file_exists(new_file_name):
new_file_name = os.path.join(target_directory, new_file_name)
with open(new_file_name, 'w') as f:
f.write('')
return True
return False
In the function above, we want to create a new file. In this function, we provide the full path of the target file in two pieces, the directory it will live in and its filename. We check if the directory is there but we don’t want the file to exist already. If we satisfy both, we create the file.
Before moving to the unit test code, for this function, let’s explain a bit what is mocking.
Mocking
How do check_dir_exists
and check_file_exists
work? That’s the nice thing with unit testing. You don’t need to know. All you need to know is, how it is called and what is the return type, in order to force the desired return value. This process is called mocking. So, instead of an actual invocation of a method/object, you use a dummy method/object, ready to be customized according to your needs.
I like to think mocking as the art of not giving a f**k about ‘calls to outsider code’.
My code depends on an external service, thus I cannot unit test it.
Mock the external call and return the expected value, according to your test scenario. If the call is supposed to put some data in the database, based on an API response, return a JSON/XML/whatever response that indicates success. The respective API docs are your best friend here.
The function you asked me to unit test is deleting an entire partition in the disk.
That’s fine(almost). You can mock the system call(s) and verify the correct sequence of them is invoked.
I cannot test this code, as it uses builtin function and third-party function.
Yeap, you guessed it. Mock the aforementioned involved functions.
As you can see, the fewer dependencies you have on your code, the easier the unit test is written. Unfortunately, this is easier said than done.
In our case, we will be using the mock module of the unittest library to achieve such effects.
How to write unit tests in python - the boilerplate part.
A unit test in python, is a function, inside a class which inherits from unittest.TestCase
. You may hear those called Test Suites but for the scope of the article we will call them TestCases
. Each TestCase has some standard helper methods that move through the unit testing process.
Below you can see an example of the two most common ones. setUp
and tearDown
. As explained in the comments(and maybe it is self-explanatory from their names) setUp
is initializing values required for a unit test and is running before the execution of the test(hello captain obvious). tearDown
does the opposite, it cleans up stuff and runs after the execution of the unit test.
import unittest
from unittest import mock
from fs_handler_main import *
class FileSystemHandlerTest(unittest.TestCase):
def setUp(self):
"""setUp is run before each test case.
It is usually used to setup(wow) some common
values for all test cases"""
print('setUp: Initialize instance variables')
self.directory = '/home/periklis/'
self.new_filename = 'dummy_new_filename.txt'
# Fun fact: The os module we are using is
# indirectly imported from fs_handler_main and not
# from the python library
self.full_path = os.path.join(self.directory,
self.new_filename)
def tearDown(self):
# This is something not very useful, it is only written
# this way to demonstrate how tearDown works
print('tearDown: Reset instance variables')
self.directory = ''
self.new_filename = ''
How to write unit tests in python - unit test the business logic.
For the purpose of this article, I have written three unit tests for the create_file
function seen above. Remember you can write as many test scenarios as you want and find useful. Sky in the limit or as Buzz would say, to infinite unit tests and beyond
@mock.patch('builtins.open', mock=mock.mock_open)
@mock.patch('fs_handler_main.check_file_exists')
@mock.patch('fs_handler_main.check_dir_exists')
def test_create_file_success(self, mock_check_dir_exists,
mock_check_file_exists, mock_open_func):
print('test_create_file_success')
mock_check_dir_exists.return_value = True
mock_check_file_exists.return_value = False
self.assertTrue(create_file(self.directory,
self.new_filename))
@mock.patch('builtins.open', mock=mock.mock_open)
@mock.patch('fs_handler_main.check_file_exists')
@mock.patch('fs_handler_main.check_dir_exists')
def test_create_file_failure_dir_no_exists(self, mock_check_dir_exists, mock_check_file_exists, mock_open_func):
print('test_create_file_failure_dir_no_exists')
mock_check_dir_exists.return_value = False
mock_check_file_exists.return_value = False
self.assertFalse(create_file(self.directory, self.new_filename))
@mock.patch('builtins.open', mock=mock.mock_open)
@mock.patch('fs_handler_main.check_file_exists')
@mock.patch('fs_handler_main.check_dir_exists')
def test_create_file_failure_file_already_exists(self, mock_check_dir_exists, mock_check_file_exists, mock_open_func):
print('test_create_file_failure_file_already_exists')
mock_check_dir_exists.return_value = False
mock_check_file_exists.return_value = False
self.assertFalse(create_file(self.directory, self.new_filename))
Have you noticed the test function starts with test_
? That’s because python applies a regular expression, in order to separate the actual test cases from helper function in a unit test file.
Regarding the tests above:
* The first unit test is checking the normal case, where the file is created smoothly. Thus the business logic function is returning True
, value which we assert.
* The second one is trying to create the new file, but the directory is not there. So it is asserting the file will not be created, by checking the return value of create_file
is False
.
* Similarly, the third unit test, is checking if the file already exists and in such case, it is not creating it.
Are you wondering why mock_open_func
, which is the mock object created from @mock.patch('builtins.open', mock=mock.mock_open)
is not used? We only mocked this part, so that an actual file is NOT created in every test run. We will discuss more later.
Decorators
But what is this ‘@’ thingy on top of the declaration of each function? I am about to write an article for decorators, as they cannot be explained briefly in a few lines, but for now, you only need to know, that they are functions, which take other functions as arguments and return those arguments extended.
So to be specific, @mock.patch(fs_handler_main.check_file_exists)
on top of test_create_file_success
means:
> Locate the function check_file_exists
from fs_handler_main
and as long we are in the scope of the function below(namely fs_handler_main
) whenever check_file_exists
is invoked, use a mock object called mock_check_file_exists
instead.
This is the same for python modules too. For example, if you want to mock os
or math
you need to provide a full path, starting from the code under test module(in our case fs_handler_main
)
Moar mocking and decorators
Let’s dive more into decorators and mocking for unit testing and examine the following pair of business logic-unit test code.
def delete_file(full_path_to_file):
if os.path.isfile(full_path_to_file):
os.remove(full_path_to_file)
# We mock the fs_handler_main.os.* modules, if we mock the os provided from python directly, it will not work
@mock.patch('fs_handler_main.os.path.isfile')
@mock.patch('fs_handler_main.os.remove')
def test_delete_file_success(self, mock_os_remove, mock_os_is_file):
print('test_delete_file_success')
mock_os_is_file.return_value = True
delete_file(self.full_path)
mock_os_remove.assert_called_with(self.full_path)
In the core logic function, we check if the given full path is actually a file and in such case we delete it.
As we use the os module of python, we need to mock it as well and this is considered a best industry practice. Not that it won’t work otherwise. But there are too many unnecessary things to take care of, in such case, namely: * Make sure you have permissions to read/write in the directory provided as an argument. * Make sure you have the target file created, in a previous piece of code(maybe a helper function). * Make sure the disk has sufficient space to write, even if the all the rest prerequisites are satisfied.
As explained above, we need to mock the os modules provided from fs_handler_main file and not the original ones(the functionality is the same, it is just a matter of how python handles namespacing).
The important thing here is line:
mock_os_is_file.return_value = False
Our business logic is relying on the return value of os.is_file
. So, first, we mock it and then we customize it, by altering the return value, according to the needs of our scenario.
Things worth remembering
Thank you for reading this article. Below you can find a few points I find worth reiterating.
- The methods that are test scenarios start with
test_
to help python discover them easily. - The fewer dependencies you have, the easier the unit test is written.
mock
lives in unittest after python3.4.6. But this was not always the case. So check with the official documentation if you need to download themock
library from PyPi or any other workaround that might be in effect back then.- Mock things using the module-under-test(the business logic) namespace, not the python ones.


My name Jack
Send help
Hi, I'm Jack. I am building a career to keep people's websites fresh and up to date with the latest, most efficient technologies. This section might have a pic of me with some neat CSS style responsiveness, maybe some other stuff. Hold on while I learn full stack web development at freecodecamp.com tho. Okay thank u talk soon.
Add me on the social and check out my other work on Github and Codepen! (I currently don't have anything on any of these sites tho so hang in there).


UIColor(MBToolbox) Category Reference
| Declared in | UIColor+MBToolbox.h |
|---|
– isOpaque
Determines whether the receiver represents an opaque color.
- (BOOL)isOpaque
Return Value
YES
if the receiver is an opaque color; NO
otherwise.
Discussion
A color is opaque if it has an alpha channel value of 1.0
. A color with an
alpha value less than 1.0
requires alpha blending and is not opaque.
Declared In
UIColor+MBToolbox.h
– isDark
Determines whether the receiver represents a dark color.
- (BOOL)isDark
Return Value
YES
if the receiver is a dark color; NO
otherwise.
Discussion
A color is considered dark if its brightness value is less than 0.5
.
Declared In
UIColor+MBToolbox.h
– highlightColor
Returns a new UIColor
instance containing an appropriate highlight color
for the receiver by adjusting the receiver’s brightness.
- (nonnull UIColor *)highlightColor
Return Value
A highlight color based on the receiver.
Discussion
The highlight color will be a brighter version of the receiver if the receiver is a dark color; if the receiver is not a dark color, the highlight color will be a darker version of the receiver.
Declared In
UIColor+MBToolbox.h
– colorWithBrightnessAdjustedByFactor:
Returns a new UIColor
instance by adjusting the brightness value of the
receiver by a given factor.
- (nonnull UIColor *)colorWithBrightnessAdjustedByFactor:(CGFloat)adjustFactor
Parameters
adjustFactor |
The adjustment factor. |
|---|
Return Value
The adjusted color.
Discussion
The returned color will match the hue, saturation and alpha of the receiver, but the brightness value will be multiplied by the adjustment factor.
Declared In
UIColor+MBToolbox.h


Get a list of all the public challenges
https://www.badgee.uk/api/tasks
GET
Create challenges
https://www.badgee.uk/api/tasks
POST
Send latitude of current user
Send longitude of current user
Send task object - see example:
{ "task":
{ "description": "d",
"minutes": 9,
"location.name": "name",
"_creator": "560067f771cbc90300d58c38",
"_tagged_member": "55ff3d3f523c55030003ec93"
},
"lat": "51.374277" ,
"lon": "-0.101937" }
Show's a challenge/task by Id
https://www.badgee.uk/api/tasks/:id
GET


Filter list by typing in their name or city.
Click on the avatar for more information
Filter
{{u.username}}
{{u.name.first}} {{u.name.last}}
{{u.location.city}}
{{user.username}}
Email
{{user.email}}
Password
{{user.password}}
Phone
{{user.phone}}
Location
{{user.location.city}}, {{user.location.state}}


An implementation of functionalities to transform directed graphs that are bound to a set of known forbidden paths. There are several transformations, following the rules provided by Villeneuve and Desaulniers (2005) <doi:10.1016/j.ejor.2004.01.032>, and Hsu et al. (2009) <doi:10.1007/978-3-642-03095-6_60>. The resulting graph is generated in a data-frame format. See rsppfp website for more information, documentation an examples.
| Version: | 1.0.3 |
| Depends: | R (≥ 3.4.0) |
| Imports: | dplyr, foreach, doParallel, igraph, tidyr, stringr |
| Suggests: | knitr, rmarkdown, testthat, covr, ggplot2 |
| Published: | 2018-11-20 |
| Author: | Melina Vidoni [aut, cre], Aldo Vecchietti [aut] |
| Maintainer: | Melina Vidoni <melinavidoni at santafe-conicet.gov.ar> |
| BugReports: | https://github.com/melvidoni/rsppfp/issues |
| License: | GPL-3 |
| URL: | https://github.com/melvidoni/rsppfp |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | rsppfp results |
| Reference manual: | rsppfp.pdf |
| Vignettes: |
Transformations Benchmark Example: Other Packages rsppfp Description |
| Package source: | rsppfp_1.0.3.tar.gz |
| Windows binaries: | r-devel: rsppfp_1.0.3.zip, r-release: rsppfp_1.0.3.zip, r-oldrel: rsppfp_1.0.3.zip |
| OS X binaries: | r-release: rsppfp_1.0.3.tgz, r-oldrel: rsppfp_1.0.3.tgz |
Please use the canonical form https://CRAN.R-project.org/package=rsppfp to link to this page.


--- layout: page permalink: "/personal/artweeks-2020/" ---
...between thoughts and stillness... is a metaphorical exploration of the occasional need to quell the chatter in our heads and replace it with stillness. Some images are combined with haiku poetry...
Read the Between Thoughts and Stillness catalogue (PDF)


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Stanford Master's student in Computer Science passionate about healthcare and AI. Three years working as a backend software engineer and coding in Python in San Francisco. Avid bread baker, sometimes ukulele player, and frequent traveler.
XO Health
Affordable Hand Exoskeleton
Computer Vision
Cell Segmentation
CNN
Classifier for Cervical Cancer
Neurostim Patent
Co-inventor
Computational Modeling
Tumor-mediated Immunosuppression
Neural Network Modeling (Alexnet)
Neural Predictivity
Detecting Hand Washing
Sparkcentral Reporting Dashboard
Realtime Data Analysis


A Software Developer with a focus of writing clean,friendly & reusable code.
Here are some of the projects I have worked on so far
TYEP is a platform that gives creatives a chance to showcase and sell their talents.
The platform brings different stakeholders aligned to our course on one platform to empower the young people.
TYEP was an interesting group project where I was tasked with working on the home page.
Languages used: Html, css and javascript.
I am a tech enthusiast, fascinated by the unending possibilities technology brings.
The passion for software development brought me to Moringa school where I am Currently
a student.
I also hold a degree in Mathematics and Statistics from the University of Nairobi.
LETS CREATE SOMETHING GREAT TOGETHER
Do you have a cool project you would love us to work together on?
Email me at<EMAIL_ADDRESS>or DM at any of the social media handles below
© 2020 THOMAS ODUOR.


Hourly Forecast - Guelph
| Date/Time (EST) |
Temp. (°C) |
Weather Conditions | Likelihood of precipFootnote † |
Wind (km/h) |
Wind Chill |
|---|---|---|---|---|---|
| 13 December 2018 | |||||
| 19:00 | 0 |
Mainly cloudy |
Low |
E 15 |
* |
| 20:00 | 0 |
Mainly cloudy |
Low |
E 15 |
* |
| 21:00 | -1 |
Mainly cloudy |
Low |
S 15 |
-5 |
| 22:00 | -1 |
Mainly cloudy |
Low |
S 15 |
-6 |
| 23:00 | -1 |
Periods of freezing drizzle |
Medium |
S 15 |
-6 |
| 14 December 2018 | |||||
| 00:00 | -1 |
Periods of freezing drizzle |
Medium |
S 15 |
-6 |
| 01:00 | -1 |
Periods of freezing drizzle |
Medium |
S 15 |
-6 |
| 02:00 | -1 |
Periods of freezing drizzle |
Medium |
S 15 |
-5 |
| 03:00 | 0 |
Periods of freezing drizzle |
Medium |
S 15 |
* |
| 04:00 | 0 |
Periods of freezing drizzle |
Medium |
S 15 |
* |
| 05:00 | 0 |
Periods of freezing drizzle |
Medium |
S 15 |
* |
| 06:00 | 1 |
A few showers |
High |
S 15 |
* |
| 07:00 | 1 |
A few showers |
High |
S 15 |
* |
| 08:00 | 1 |
A few showers |
High |
S 15 |
* |
| 09:00 | 2 |
A few showers |
High |
SW 20 gust 40 |
* |
| 10:00 | 2 |
A few showers |
High |
SW 20 gust 40 |
* |
| 11:00 | 3 |
A few showers |
High |
SW 20 gust 40 |
* |
| 12:00 | 3 |
A few showers |
High |
SW 20 gust 40 |
* |
| 13:00 | 4 |
A few showers |
High |
SW 20 gust 40 |
* |
| 14:00 | 4 |
Mainly cloudy |
Low |
SW 20 gust 40 |
* |
| 15:00 | 5 |
Mainly cloudy |
Low |
SW 20 gust 40 |
* |
| 16:00 | 5 |
Mainly cloudy |
Low |
W 20 gust 40 |
* |
| 17:00 | 4 |
Mainly cloudy |
Low |
W 20 gust 40 |
* |
| 18:00 | 4 |
Mainly cloudy |
Nil |
SW 10 |
* |


There {% if group_len == 1 %} is 1 {{ terms.singular }} {% else %} are {{ group_len }} {{ terms.plural }} {% endif %} below. We want to rate {{ terms.plural }} by their {{ terms.feature }}.
For {% if group_len == 1 %} this {% else %} each {% endif %} {{ terms.singular }}, assign it a number from 1 ({{ terms.least }}) to 7 ({{ terms.most }}) indicating its {{ terms.feature }}.
For perspective, here is a small number of other randomly picked {{ terms.plural }}:
{% for example in examples %}
{% autoescape off %}
{{ example }}
{% endautoescape %}


-
Accessibility of NEO data: REST APIs to feed our Skynet.
Problems identified:
- Most data was not available in a machine readable / accessible format
Our contribution:
- Extracted data in HTML tables into a database.
- Interfaced NASA's HORIZONS System telnet client, to provide functionality missing at web interface and make orbital information widely accessible.
- Exposed this information with a REST client


in GDB it can be a bit of a pain
Disassemble <function> and then find: from <start_addr>,<end_addr>,<pattern>
Disassemble <start_addr> <end_addr>
to get start and end addr, these info commands may be useful
info target
info sharedlibrary
info line <function> ie: main
Find JMP ESP
find /b <from addr>, <to addr>, 0xff, 0xe4
find [/size-char] [/max-count] start-address, +length, expr1 [, expr2 ...]


| Phone | +49 1573 1576436 |
|<EMAIL_ADDRESS>| |
| PGP |
FF02 5650 A266 921B 696E BB8E 044C B90B FA31 DF0C |
2016-09-14
Fast lookups in JIT-compiled maps
2016-03-16
PS3 GPU Full VRAM/IO access exploit
2013-04-20
VirtualDJ Pro/Home 7.4: Buffer Overflow
2013-03-30
VirtualDJ Pro/Home 7.3: Buffer Overflow
2013-03-21
WPA2 Key Generation Vulnerability: Linksys / D-Link
Nucleus: High-performance retargetable emulator for desktop and mobile platforms written in C++.
Nerve: Frontend for debuggers and disassemblers written in Angular and TypeScript.
Capstone.js: Capstone multi-architecture disassembler framework for JavaScript.
Keystone.js: Keystone multi-architecture assembler framework ported to JavaScript.
Unicorn.js: Unicorn CPU emulator framework ported to JavaScript.
Glslang.js: Real-time GLSL to SPIR-V in your browser, powered by Glslang.
Nexus: TBD.


Random Quote Generator is a simple web application that will help you find very interesting quotes from famous people in the world


Plane Crash Kills 23 People In DR Congo
Goma Airport official, Richard Mangolopa, told AFP no survivors were expected from the disaster.
by SaharaReporters, New York
Twenty-three bodies were recovered on Sunday after a small plane crashed on takeoff into a densely populated area of Goma in the Democratic Republic of Congo, rescue workers said.
“We are up to 23 bodies now,” Goma rescue service coordinator, Joseph Makundi, told AFP.
Goma Airport official, Richard Mangolopa, told AFP no survivors were expected from the disaster.
The Dornier-228 aircraft had been headed for Beni, 350 kilometres (220 miles) North of Goma when it went down in a residential area near the airport in the east of the country.
“There were 17 passengers on board and two crew members,” airline staff, Heritier Mamadou, said.
The airline company has three planes serving routes in North Kivu province.
One of the company’s maintenance workers at the site blamed a “technical problem” for the incident.
The number of casualties on the ground was not yet known.


{% extends "base.html" %}
{% block content %}
{{ render_text("Hi " + name) }}
{{ render_text("There are at least 2 emails sent to your alias " + alias.email + " from " + website_email + " that have been refused (or bounced) by your mailbox " + mailbox_email + ".") }}
{{ render_text("This is usually due to the email being considered as spam by your email provider.") }}
{{ render_button("View the refused email", refused_email_url) }}
{{ render_text('As security measure, we have disabled the alias ' + alias.email + ".") }}
{{ render_text('Please let us know if you have any question.') }}
{{ render_text('Thanks,
SimpleLogin Team.') }}
{{ raw_url(refused_email_url) }}
{% endblock %}


Thank you
for registering for the
track
.
Reason for joining is
Programming languages you are familiar with are
Enter your Name
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All the annotations are encoded in a JSON file. An example showing the annotations for the image below is presented. A detailed description of each entry from the JSON file is provided in the original paper.
{ "form": [ { "text": "Registration No.", "box": [94,169,191,186], "linking": [ [1,2] ], "label": "question", "words": [ { "text": "Registration", "box": [94,169,168,186] }, { "text": "No.", "box": [170,169,191,183] } ] }, { "box": [209,169,236,182], "text": "533", "label": "answer", "words": [ { "box": [209,169,236,182], "text": "533" } ], "linking": [ [1,2] ] } ] }


Create Filters
View Data
Chart Type
Bar
Line
Count
Sum
Avg
Average {{yAxisField}}
{{yAxisField}}
Total


| dpih {KernSmooth} | R Documentation |
Uses direct plug-in methodology to select the bin width of a histogram.
dpih(x, scalest = "minim", level = 2L, gridsize = 401L, range.x = range(x), truncate = TRUE)
x |
numeric vector containing the sample on which the histogram is to be constructed. |
scalest |
estimate of scale.
|
level |
number of levels of functional estimation used in the plug-in rule. |
gridsize |
number of grid points used in the binned approximations to functional estimates. |
range.x |
range over which functional estimates are obtained. The default is the minimum and maximum data values. |
truncate |
if |
The direct plug-in approach, where unknown functionals that appear in expressions for the asymptotically optimal bin width and bandwidths are replaced by kernel estimates, is used. The normal distribution is used to provide an initial estimate.
the selected bin width.
This method for selecting the bin width of a histogram is described in Wand (1995). It is an extension of the normal scale rule of Scott (1979) and uses plug-in ideas from bandwidth selection for kernel density estimation (e.g. Sheather and Jones, 1991).
Scott, D. W. (1979). On optimal and data-based histograms. Biometrika, 66, 605–610.
Sheather, S. J. and Jones, M. C. (1991). A reliable data-based bandwidth selection method for kernel density estimation. Journal of the Royal Statistical Society, Series B, 53, 683–690.
Wand, M. P. (1995). Data-based choice of histogram binwidth. The American Statistician, 51, 59–64.
data(geyser, package="MASS") x <- geyser$duration h <- dpih(x) bins <- seq(min(x)-h, max(x)+h, by=h) hist(x, breaks=bins)


{{#contentFor "title"}}Bindings | Code{{/contentFor}} {{#contentFor "tabName"}}bindings{{/contentFor}} {{!< layouts/code.html}}
any
This is short hand for an if binding that looks at length

show only if there are items

| Name | Type | Default | Description |
|---|---|---|---|
| value | array | observable array | undefined | If there are items in the value the contents are shown |
asyncMessage
Used to display notification to the end user that an action is taking place. Mainly used in conjunction with remote validation.

| Name | Type | Default | Description |
|---|---|---|---|
| value | observable boolean | undefined | should a validating message me shown |
| validating | html string | observable html string | checking availability... | HTML to be displayed when value is true |
| valid | html string | observable html string | available | HTML to be displayed when value is valid |
console
Prints the object out on the console. should only be used when debuging.

| Name | Type | Default | Description |
|---|---|---|---|
| value | any | observable any | undefined | the object that is passed to console.log |
empty
This is short hand for an if binding that looks at length

There are no items

| Name | Type | Default | Description |
|---|---|---|---|
| value | array | observable array | undefined | If there are no items in the value the contents are shown |
fadeSlide
When the value is true the element will be slide down at the same time it is faded in. When the value is false the element is slide up and faded out.

| Name | Type | Default | Description |
|---|---|---|---|
| visible | observable boolean | false | Should the element be visible |
| duration | number | 300 | number of milliseconds for the animation to complete |
| afterAnimation | function | undefined | Will be called after the slide fade animations completes |
fadeSlideTemplate
Works just like the knockout template binding but will fade and slide in changes in templates. Note that this only happens on changes to the template name and does not happen on the first render.

Supports all the options of the knockout template binding
fadeVisible
When the value is true the element will be faded in. When the value is false the element faded out.

| Name | Type | Default | Description |
|---|---|---|---|
| visible | observable boolean | false | Should the element be visible |
| duration | number | 300 | number of milliseconds for the animation to complete |
| afterAnimation | function | undefined | Will be called after the fade animation completes |
href
This is short hand for an attr binding that sets the href attribut

| Name | Type | Default | Description |
|---|---|---|---|
| value | string | observable string | undefined | url to place in the href |
indeterminate
Allows you to set an indeterminate state to a checkbox or radio button, which can only be done programmatically.
<input type='cehckbox' data-binding='indeterminate: model.isIndeterminate'></input>
| Name | Type | Default | Description |
|---|---|---|---|
| value | boolean | observable boolean | false | should the element be marked as indeterminate |
templateSwitcher
Will switch out templates based on the value, loading, and error properties. This saves you from having to write a bunch of if logic to pick the template you want to display. This binding is heavily used in the listview control

| Name | Type | Default | Description |
|---|---|---|---|
| value | any | observable any | undefined | value that will be passed to the display template |
| loading | boolean | observable boolean | false | when true the loading template is displayed |
| error | boolean | observable boolean | false | when true the error template is displayed |
| templates.display | string | observable string | undefined | will be called with value if error and loading are false |
| templates.empty | string | observable string | cyclops.templateSwitcherEmptyTemplate | if value is an array and it is empty this template will be called |
| templates.loading | string | observable string | cyclops.templateSwitcherLoadingTemplate | will be called when loading is true |
| templates.error | string | observable string | cyclops.templateSwitcherErrorTemplate | will be called when error is true |
Title
Set the title attribute of the element. This is just shorthand for the attr
binding.
</sapn>
| Name | Type | Default | Description |
|---|---|---|---|
| value | string | observable string | false | The text to use as the title |
scrollTo
Should the element be scrolled into view.
</sapn>
| Name | Type | Default | Description |
|---|---|---|---|
| value | boolean | observable boolean | false | if true the item will be scrolled to in the browser |
validationMsg
Same as the knockout-validation validationMessage binding but has a nice animation when displaying or hiding the message.

| Name | Type | Default | Description |
|---|---|---|---|
| value | any | observable any | undefined | value that is being validated |
widget
Creates jQuery widgets based on the name and options passed in. This is relatively expensive so it should be used with caution but it can be very handy. Technically it doesn’t have to be a jQuery widget just a function that hangs off a dom node but it works best when it follows the jQuery widget conventions.
<input type="submit" value="OK" data-bind='widget: "button"' />

<input id='search' data-bind='widget: { name: "autocomplete", options: { source: searchCompletions(), delay: 500 } }, value: searchString' />

<input id='search' data-bind='widget: { name: "autocomplete", disabled: trueyOrFalsey, value: searchString' />
| Name | Type | Default | Description |
|---|---|---|---|
| name | string | observable string | undefined | name of the widget or function |
| disabled | boolean | observable boolean | false | calls the widgets disable funtion |
| enabled | boolean | observable boolean | false | calls the widgets disable funtion with false and wires everything back up |
| options | any | observable any | empty object | any options for the widget |


:: com :: sun :: star :: table ::
|
| struct TableBorderDistances |
|
- Description
- contains the distance settings of the border lines of all cells in a cell
range.
In a queried structure, the flags in
Is...DistanceValid indicate that not all
lines of the boxes have the same values.
In a structure which is used for setting, these flags determine
if the corresponding distance should be set or if the old value should
be kept.
|
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Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


_About Me
BIO
I'm a Pre-final year Information Technology Engineering student at Maharaja Surajmal Institute of Technology. I'm into coding (Java) and web development (JS). I'm a MERN Stack Developer and I like Burgers. No, Burgers is not a Javascript Framework, I mean not yet.
EXPERIENCE
CODING NINJAS
NINJA ENTERPRENUER Intern | Sep 2020 - July 2021
My role is to create awareness among students in the field of Coding and Development culture. I successfully organized and managed various Coding events, Webinars and conducted various workshops on different technical domains..


The universe API supports performing universe selection based on corporate fundamental data. This data is powered by Morningstar® and includes approximately 5,000 tickers with 900 properties each. The data comes delivered as a $[FineFundamental,T:QuantConnect.Data.Fundamental.FineFundamental] type.
Due to the sheer volume of information, Fundamental selection is performed on the output of the coarse universe. You can think of this as a 2-stage filter; first, coarse universe can select all of the liquid assets, then fine fundamental universe can select those which meet your targets.
For the $[FineFundamental, T:QuantConnect.Data.Fundamental.FineFundamental] properties, please check out our data library page.
Only 5,000 assets have fundamental data. When working with fundamental data, you should always include the "HasFundamentalData" filter in your Coarse Universe filter. See the example below for how to do this in your algorithm.
To request a fundamental universe, pass a second filter-function into the AddUniverse()
method. The second function handles the filtering of your FineFundamental objects:
public class MyUniverseAlgorithm : QCAlgorithm { public override void Initialize() { AddUniverse(MyCoarseFilterFunction, MyFineFundamentalFilterFunction); } // filter based on CoarseFundamental IEnumerable<Symbol> MyCoarseFilterFunction(IEnumerable<CoarseFundamental> coarse) { // return list of symbols } // filter based on FineFundamental public IEnumerable<Symbol> FineSelectionFunction(IEnumerable<FineFundamental> fine) { // return list of symbols } }
class MyUniverseAlgorithm(QCAlgorithm): def Initialize(self): self.AddUniverse(self.MyCoarseFilterFunction, self.MyFineFundamentalFunction) def MyCoarseFilterFunction(self, coarse): pass def MyFineFundamentalFunction(self, fine): pass
The simplest example of accessing the fundamental object would be harnessing the iconic PE ratio for a stock. This is a ratio of the price it commands to the earnings of a stock. The lower the PE ratio for a stock, the more affordable it appears.
// Take the top 50 by dollar volume using coarse // Then the top 10 by PERatio using fine AddUniverse( coarse => { return (from c in coarse where c.Price > 10 && c.HasFundamentalData orderby c.DollarVolume descending select c.Symbol).Take(50); }, fine => { return (from f in fine orderby f.ValuationRatios.PERatio ascending select f.Symbol).Take(10); });
# In Initialize: self.AddUniverse(self.CoarseSelectionFunction, self.FineSelectionFunction) def CoarseSelectionFunction(self, coarse): sortedByDollarVolume = sorted(coarse, key=lambda x: x.DollarVolume, reverse=True) filtered = [ x.Symbol for x in sortedByDollarVolume if x.HasFundamentalData ] return filtered[:50] def FineSelectionFunction(self, fine): sortedByPeRatio = sorted(fine, key=lambda x: x.ValuationRatios.PERatio, reverse=False) return [ x.Symbol for x in sortedByPeRatio[:10] ]
There are 900 properties you can use to perform your own filtering. We recommend you review the data library page dedicated to this data to fully understand each property.
Due to licensing restrictions, QuantConnect does not have the iconic S&P500 index list, however, we have reconstructed a homemade version which is a 90% replication which we call the QC-500. The QC-500 is too large to paste into this documentation, but we have open sourced the implementation for educational purposes. For more information, see the QC500 example algorithm QC500 example algorithm.
Like coarse universes, fine universes allow you to select an unlimited universe of symbols to analyze. Each asset added consumes approximately 5MB of RAM, so you may quickly run out of memory if your universe filter selects many symbols. QuantConnect provides unlimited backtesting and a free 8GB of RAM per backtest. If you run into memory issues, you can increase this with a subscription or memory packs. You can help keep your algorithm fast and efficient by only subscribing to the assets you need.


{% extends "layout.html" %} {% block page_title %} Question page {% endblock %} {% block content %} Back You will be asked for these documents After you have completed this application you will be asked for these documents. Corporate business bank statement Employers liability insurance certificate Audited annual accounts You must provide these by post after submitting this online application. If you don’t provide this evidence we can’t consider your application. {% endblock %}
After you have completed this application you will be asked for these documents.
You must provide these by post after submitting this online application.
If you don’t provide this evidence we can’t consider your application.


Australian Bombshell Tarsha Whitmore Shows Off Her Fabulous Figure In Pink Lingerie
November 18, 2019
Australian Bombshell Tarsha Whitmore Shows Off Her Fabulous Figure In Pink Lingerie
Australian hottie Tarsha Whitmore flaunted her curves in a set of skimpy pink lingerie in her latest Instagram update.
The brunette beauty chose to show off the underwear while she was inside lounging on a grey sofa. A table decorated with candles and flowers sat in the background, but there was no doubting that this photo was all about Tarsha and her fabulous figure.
With one arm resting on the back of the sofa and her legs slightly spread, Tarsha looked comfortable as she faced the camera at a somewhat close angle. Her light pink lingerie featured a plunging neckline that new attention to her cleavage. The bottoms had a high-cut leg, bringing the eye to her slender waist and the curve of her hips. Also on display was her flat abs and toned thighs. The pink fabric popped against her smooth, bronze skin.
 Her cheeks and nose were contoured, and she wore a nude gloss on her lips. She opted for minimum accessories wearing only a belly ring. Her long hair, which appeared to be lightened by days in the sun, was parted down the middle. She wore it down in loose curls tossed over one shoulder as she looked up and away from the camera.
In the caption, the stunner said the lingerie came from Gooseberry Intimates. She also joked that she was thinking about donuts. Judging from their reactions, her fans were thinking about how awesome she looked in the snap. Many left behind fire emoji, but others were a little more expressive.
“You are like none other. You inspire me,” one admirer wrote.
“You are a beautiful girl,” a second fan said.
Loading...
“I can’t cope,” joked a third follower.
“What a doll!” a fourth admirer chimed in.
The beauty models quite a bit lingerie on her Instagram page, but she also likes to show off her body in an array of ensembles ranging from sexy dresses to cute short sets. Fashion brands she models for include Fashion Nova and Oh Polly.
Tarsha seems to travel often, and many of her updates show her enjoying the beach at exotic locations wearing barely-there bikinis. She appears to enjoy sharing her outfits with her followers almost as much as they enjoy seeing her wear them.


:: com :: sun :: star :: xml :: sax ::
|
| interface XErrorHandler |
|
- Description
- is the basic interface for SAX error handlers.
If a SAX application needs to implement customized error handling,
it must implement this interface and then register an instance with the
SAX parser using the parser's XParser::setErrorhandler
method. The parser will then report all errors and warnings through this
interface.
This interface is a slight adaption of the Java interface
org.xml.sax.ErrorHandler . In IDL, no exception can be passed
as an argument, so an any serves as the container. The type of the
exception is SAXParseException or an instance of a derived class.
|
| Methods' Summary |
| error |
receives notification of a recoverable error.
|
| fatalError |
receives notification of a non-recoverable error.
|
| warning |
receives notification of a warning.
|
| Methods' Details |
error
| void |
| error( |
[in] any |
aSAXParseException ) |
| raises( |
SAXException ); |
- Description
- receives notification of a recoverable error.
|
|
fatalError
| void |
| fatalError( |
[in] any |
aSAXParseException ) |
| raises( |
SAXException ); |
- Description
- receives notification of a non-recoverable error.
|
|
warning
| void |
| warning( |
[in] any |
aSAXParseException ) |
| raises( |
SAXException ); |
- Description
- receives notification of a warning.
|
|
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Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.