Probabilistic modeling of color images
Introduction
In this tutorial, we will add some color to our samples. For this, we will have to learn a distribution not only over grayscale images, $\mathbf{I} \in \mathbb{R}^{M \times N}$, but over color images, $\mathbf{I} \in \mathbb{R}^{M \times N \times 3}$.We will split this task into two subproblems by separating the grayscale intensities, $\mathbf{I}_0 \in \mathbb{R}^{M \times N}$, from the color information, $\mathbf{I}_1 \in \mathbb{R}^{M \times N \times 2}$. This can be achieved by mapping the RGB pixel values of an image to a different color space using a simple linear transformation. Instead of learning a distribution over $\mathbf{I}$ directly, we are going to learn a distribution for $\mathbf{I}_0$ and a conditional distribution for $\mathbf{I}_1$ given $\mathbf{I}_0$. Together, they define a distribution over color images, \begin{align*} P(\mathbf{I}) \propto P(\mathbf{I}_1 \mid \mathbf{I}_0) P(\mathbf{I}_0). \end{align*}
Fitting model parameters
Since we are going to fit two models in this tutorial, it makes sense to first encapsulate the training procedure.from cmt.tools import generate_data_from_image
from cmt.models import MCGSM
from cmt.transforms import WhiteningPreconditioner
def train_model(img, input_mask, output_mask):
# generate data
inputs, outputs = generate_data_from_image(
img, input_mask, output_mask, 120000)
# split data into training and validation sets
data_train = inputs[:, :100000], outputs[:, :100000]
data_valid = inputs[:, 100000:], outputs[:, 100000:]
# compute normalizing transformation
pre = WhiteningPreconditioner(*data_train)
# intialize model
model = MCGSM(
dim_in=data_train[0].shape[0],
dim_out=data_train[1].shape[0],
num_components=8,
num_scales=4,
num_features=30)
# fit parameters
model.initialize(*pre(*data_train))
model.train(*chain(pre(*data_train), pre(*data_valid)),
parameters={
'verbosity': 1,
'max_iter': 1000,
'threshold': 1e-7,
'val_iter': 5,
'val_look_ahead': 10,
'num_grad': 20,
})
return model, pre
If you are unclear about what this function does, take a look at the previous
tutorial on modeling grayscale images.
Next, we are going to load an RGB image and transform it to a
YCbCr color space.
from cmt.tools import imread, rgb2ycc
img = rgb2ycc(imread('newyork.png'))
The first channel of the image, img[:, :, 0]
, now contains the
grayscale information, while the other two channels encode the color information.
To generate data for the two models, we require two types of masks. We create
these masks by calling generate_masks
.
from cmt.tools import generate_masks
input_mask0, output_mask0 = generate_masks([7, 0, 0], 1)
input_mask1, output_mask1 = generate_masks([5, 7, 7], 1, [1, 0, 0])
The first call generates the same masks we used in the
other tutorial, that is, an output mask with one active
pixel and an input mask representing a causal neighborhood which is 7 pixels wide.
The masks generated by the second call are a little bit more complex. Since the
second model will have to deal with multiple channels (one luminance channel and two
color channels), the masks will also have multiple channels.
The first argument to generate_masks
specifies the size of the
neighborhood for each channel. The third argument can be used to indicate which
channels are assumed to be given.
Since the second model assumes that the luminance information is given, the neighborhood in
that channel no longer needs to be restricted to a causal neighborhood but can be
square. Using these masks, we can now train the two models.
model0, pre0 = train_model(img[:, :, 0], input_mask0, output_mask0)
model1, pre1 = train_model(img, input_mask1, output_mask1)
Note that we the first model is only trained on the grayscale portion of the
image.Synthesizing images
Generating new images is done in two steps. First, we synthesize a grayscale image. Second, we generate the missing color information conditioned on the grayscale information.from cmt.tools import sample_image
img_sample = img.copy()
# sample luminance
img_sample[:, :, 0] = sample_image(
img_sample[:, :, 0], model0, input_mask0, output_mask0, pre0)
# sample color
img_sample = sample_image(
img_sample, model1, input_mask1, output_mask1, pre1)
First, the boundaries of the sample are initialized. The first call to
sample_image
replaces the grayscale information by sampling from model0
.
The second call to sample_image
then replaces the color
information while using the grayscale information.Finally, we convert the image back to RGB and save it.
from cmt.tools import ycc2rgb, imwrite
img_sample = ycc2rgb(img_sample)
imwrite('newyork_sample.png', img_sample, vmin=0, vmax=255)
The complete example can be found here: color_images.py.


“I have always been impressed in reading the books of John Ruskin to note how many times he speaks about the hands… his words are always full of meaning, and I would have you, from the first days, know something of him and elect him to your friendship. Many times he will speak to you in short, rude words, impatiently too, but never mind that, his heart is warm and full of good.” — Thomas Tapper, Music Talks With Children


Are you sure? ({{amSure ? 'true' : 'false'}}) Valid only if checked
Are you REALLY sure? ({{amReallySure ? 'true' : 'false'}})


This notebook...
contours_uv.R
which appears in this repository./lmfree2d/R/
Dependencies:
Notes:
contours_massmv
notebook for details regarding contour registration../lmfree2d/Data/XXX/contours_sroc.csv
, where XXX
is a shape name.landmarks_uv
notebook¶Conducting univariate analysis is exactly the same for both (i) landmarks and (ii) registered contours; the latter simply contains more points. For registered contours, homologous points are algorithmically determined. For landmarks, homologous points are manually selected.
The code below contains a brief summary of univariate analysis for registered contours. Refer to the landmarks_uv
notebook for details.
library("geomorph")
# Read and plot registered contour data from the "Bell" dataset:
dirREPO <- normalizePath("..")
name <- "Bell"
fname0 <- file.path(dirREPO, "Data", name, "contours_sroc.csv")
df <- read.csv(fname0) # 4 columns: shape, landmark, x, y
plot( df$X, df$Y )
# Assemble the points into a (npoints, 2, nshapes) array
nshapes <- max( df$Shape ) # number of shapes
npoints <- length( df$X ) / nshapes # number of points (implicit landmarks)
A <- as.vector( t(df[,2:3]) ) # flatten the X and Y columns into a vector
dim(A) <- c(2, npoints, nshapes) # set the array dimensions
A <- aperm(A, c(2,1,3) ) # permute the dimensions into the required form: (m, n, p)
print( dim(A) )
# Conduct Generalized Procrustes Analysis
A.gpa <- gpagen(A)
plot( A.gpa )
# Conduct Procrustes ANOVA
group <- factor( c(0,0,0,0,0, 1,1,1,1,1) )
gdf <- geomorph.data.frame(A.gpa, group=group)
fit <- procD.lm(coords ~ group, data = gdf, iter = 1000, RRPP = FALSE, print.progress = FALSE)
summ <- summary(fit)
print(summ)
Similar to the landmark analysis in the landmarks_uv notebook, these results suggest that there is insufficient evidence to reject the null hypothesis of equivalent group means.


Welcome to the openBIS installation process !
You are about to install openBIS version ${VERSION_NUMBER}.
Should you have any questions or feedback regarding the installation process do not hesitate
to contact us at<EMAIL_ADDRESS>To learn more about openBIS visit our homepage at
https://labnotebook.ch/


Use when needed to inject a contant to the template from outside. You can use property binding but in cases where it is more complex contant use ng-contant. ng-content enable the component user to customize the content of a component.
For example the template looking like:

 // identify the ng-contant select as class="heading" <ng-contnat select=".heading"></ng-contant>

 // identify the ng-contant select as class="body" <ng-contnat select=".body"></ng-contant>

To use this component:
<the-component>

This is body

 >/the-component>


We've all got that spark in us. We're here to help each other ignite it!
We're focussed on doing new thing and having the time of our lives while we're at it.
We believe in boundaries and testing them. It's never a failure, always a lesson.
 There's a place for you here.
Nothing says camaraderie like student communities do. They are an untapped resource that needs to be put to good use. We, at Uniphyd., stand for collective growth and self-improvement. We are a community of tech-enthusiasts, at Parul University, that believes in the power of collaboration and aspires to spread this love and faith.
Two heads are better than one !


12 Cities for the City Life works as an information and review bank. Users can browes through 12 large cities in the world, read information about them and leave their own reviews and ratings.
This was an individual project within XML and publishing for the web.
Create a website that takes data from a database and through PHP and XSL transformation presents it on a responsive website.
It should be possible to add and edit data in the database through the user interface.
Backend
Retrieve info from database by PHP
Transform information through XSL transform
Frontend
Modal box pop-up
Leave reviews
Edit reviews
Admin login
Edit users & reviews as admin
Works on desktop and mobile.
During this project I got to develop my skills within frontend programming. It was a highly meaningful experience in both problem solving and user experience.
It was my first time using PHP, and I deepened my knowledge withing HTML/CSS.
As I did and learnt more I wanted to make the project better and better, and incorporate more functionalities, such as the admin functions.


Staging means putting your daily personal items away, then dressing up your home to appeal to the widest range of buyers. This may include cleaning, decluttering, redecorating, painting, & landscaping. In some neighborhoods, your stager may even ask you to move out, then move in their furniture to make your rooms look larger.
Most sellers get thousands more by hiring a stager. You can replicate most of a professional's work yourself if so inclined. However, a stager's sense of what styles appeal to local buyers may prove valuable. Also, it often takes a fresh eye to notice the clutter in your own home.
When evaluating stagers, ask for addresses of recently sold homes they staged. Hire a staging consultant for $300-500, furniture rental for $3000+, or enlist a trusted friend with great design sense to help.
Photography is more than about having a fancy camera. It takes experience to master to the right lenses, filters, & lighting to brighten dark corners and bring out shadows. Those who work in real estate know how to accentuate specific features of your home to maximize marketability.
Good photography can dramatically increase the number of viewings to your listing online, leading to more buyers to your showings & more offers for your home. As DSLR cameras become popular, photography services have also gone down in price.
Your listing will get the most attention on its first week. Buyers tend to avoid new listings they consider overpriced, but may see a later price reduction as a signal to ask for an even lower price. Set a reasonable opening price to engage potential buyers all at the same time, setting them up to compete for your home.
Estimates on sites like Zillow, Epprasial, & Homegain can be misleading, but they do affect buyer expectations. When pricing your home, compile a list of recently sold comparable homes in your neighborhood & consider intangibles such as views & remodeling.
For added confidence, get an appraiser's objective opinion. They see more local transactions than anyone else. And, since their business comes mostly from banks, they may have an idea of what pricing lenders are likely to support.
Disclosure laws give buyers the right to sue you if they find hidden problems in your home after they move in. Disclosing problems beforehand protects you from that risk & assures buyers in making offers. By being as thorough as possible in your disclosures, buyers are also less likely to cancel their offer or ask for a price reduction due to problems uncovered in their inspections.
The best way to meet disclosure obligations is to conduct your own pre-sale inspection. State and local laws specify what disclosure forms you need to complete. Your local inspector can help you understand those forms & make informed responses.
92% of buyers search online for homes. Listing sites like Zillow & Trulia allow you to list for free. You can post to many listing sites at once using a free syndication service such as Postlets. Craigslist requires you to post manually & renew your listing continuously.
Before the rise of search sites, the only way to reach a large number of buyers was to ask an agent to put your home in your local Multiple Listing Service (MLS). If you'd like your home to be found on Redfin & Realtor.com, you still need to post on MLS. If you're in an neighborhood with a large number of competing listings, premium placement on major search sites can help you stand out & maximize inquiries.
Open houses are not expected in every market, but a crowd generates competitive excitement for your home. Most visitors might be just curious, but any one of them could know someone actively looking for a home like yours. If you're emotional about the prospect of leaving your home, ask a trusted relative or friend to host instead.
Be aware of customary open house times in your neighborhood. Capture buyers with signs at strategic intersections. Have a stack of color printouts of your listing handy, and a binder with your disclosures for all to see. Maintain a sign-up list, and follow up with visitors to answer any questions.
Ask all buyers for a loan pre-approval letter from a bank or proof of funds in conjunction with any offer. Offers should also be accompanied by a deposit check payable to a title or escrow company. If you're anticipating multiple offers, it may make sense to set a deadline. Be clear whether you want offers emailed, couriered, or delivered in person.
Agents tend to use standard offer forms by the state or local Realtor Association. Look for any contingencies (loan, inspection), and make sure you're okay with the timeframes specified. Once you accept an offer or counteroffer, have the buyer sign your disclosures on any inspection reports.


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AcitivityInit
- Interface in
com.tcl.lzhang1.mymusic.ui
This interface was created for initing the activity
the order of call as follows: getPreActivityData()
initView
initViewData
ACTION_NEW
- Static variable in interface com.tcl.lzhang1.mymusic.ui.
MusicPlayActivity.PlayAction
indicates play new
ACTION_NEXT
- Static variable in interface com.tcl.lzhang1.mymusic.ui.
MusicPlayActivity.PlayAction
indicates play next
ACTION_PAUSE
- Static variable in interface com.tcl.lzhang1.mymusic.ui.
MusicPlayActivity.PlayAction
indicates pause play
ACTION_PRE
- Static variable in interface com.tcl.lzhang1.mymusic.ui.
MusicPlayActivity.PlayAction
indicates play previous
ACTION_SEEK
- Static variable in interface com.tcl.lzhang1.mymusic.ui.
MusicPlayActivity.PlayAction
indicates seek
ACTION_START
- Static variable in interface com.tcl.lzhang1.mymusic.ui.
MusicPlayActivity.PlayAction
indicates start play
ACTION_STOP
- Static variable in interface com.tcl.lzhang1.mymusic.ui.
MusicPlayActivity.PlayAction
indicates stop play
add(BaseModel)
- Method in interface com.tcl.lzhang1.mymusic.db.
DBOperator
insert a record
add(BaseModel)
- Method in class com.tcl.lzhang1.mymusic.db.imp.
AlbumImp
add(BaseModel)
- Method in class com.tcl.lzhang1.mymusic.db.imp.
SingerImp
add(BaseModel)
- Method in class com.tcl.lzhang1.mymusic.db.imp.
SongImp
add(BaseModel)
- Method in class com.tcl.lzhang1.mymusic.db.imp.
UserImp
addActivity(Activity)
- Method in class com.tcl.lzhang1.mymusic.
AppManager
Adds the activity.
afterTextChanged(Editable)
- Method in class cn.beyondme.widgets.
ClearableEditText
Title: afte


{% extends "base.html" %} {% load widget_tweaks %} {% block content %} {{ form.media }}
The information below contains values from previous years or other sources which you can copy paste:


BVAR with time-varying coefficients.
Fields and Methods
Instantiation:
# create a new object
bvar_obj <- new(bvartvp)
Fields:
cons_term
a logical value (TRUE/FALSE) indicating the presence of a constant term (intercept) in the model.
p
lag order (integer).
c_int
integer version of cons_term
.
n
sample length.
M
number of variables.
K
number of right-hand-side terms in each equation.
tau
training sample length.
alpha_hat
OLS estimate of $\alpha = \text{vec}(\beta)$.
Sigma_hat
OLS estimate of $\Sigma$.
alpha_pr_mean
prior mean of $\alpha = \text{vec}(\beta)$.
alpha_pr_var
prior covariance matrix of $\alpha = \text{vec}(\beta)$.
Sigma_pr_scale
prior scale matrix of $\Sigma$.
Sigma_pr_dof
prior degrees of freedom of $\Sigma$.
alpha_pt_mean
posterior mean of $\alpha = \text{vec}(\beta)$.
alpha_pt_var
posterior covariance matrix of $\alpha = \text{vec}(\beta)$.
Q_pt_mean
posterior mean of $Q$.
Q_pt_dof
posterior degrees of freedom of $Q$.
Sigma_pt_mean
posterior mean of $\Sigma$.
Sigma_pt_dof
posterior degrees of freedom of $\Sigma$.
alpha_draws
an array of posterior draws for $\alpha$.
Q_draws
an array of posterior draws for $Q$.
Sigma_draws
an array of posterior draws for $\Sigma$.
Build: two methods,
bvar_obj$build(data_endog,cons_term,p)
data_endog
a $n \times m$ matrix of endogenous varibles.
cons_term
a logical value (TRUE/FALSE) indicating the presence of a constant term (intercept) in the model.
p
lag order (integer).
Prior:
bvar_obj$prior(tau,Xi_beta,Xi_Q,gamma_Q,Xi_Sigma,gamma_S)
tau
training sample length.
Xi_beta
scaling value for the prior covariance matrix of $\beta$.
Xi_Q
scaling value for the prior covariance matrix of $Q$.
gamma_Q
prior degrees of freedom for $Q$.
Xi_Sigma
scaling value for the prior covariance matrix of $\Sigma$.
gamma_S
prior degrees of freedom for $\Sigma$.
Gibbs sampling:
bvar_obj$gibbs(n_draws,n_burnin)
n_draws
number of posterior draws.
n_burnin
number of burnin draws.
Details
The model is comprised of two series: the first describing the dynamics of our observable series in a familiar VAR-type fashion, and the second defining the evolution of the state (parameter) vector over time, which is assumed to be an unobserved random walk.
We denote this by
\begin{align}
Y_t &= X_t \beta_t + \varepsilon_{Y,t} \\
\beta_t &= \beta_{t-1} + \varepsilon_{\beta,t}
\end{align}
where $\varepsilon_{Y,t} \sim \mathcal{N} (0,\Sigma)$ and $\varepsilon_{\beta ,t} \sim \mathcal{N} (0,Q)$.
The joint posterior kernel for this model is
\begin{equation*}
p(\beta_{1:T}, Q, \Sigma | Z, Y) \propto p(Y | Z, \beta_{1:T}, Q, \Sigma) p(\beta_{0}, Q, \Sigma)
\end{equation*}
where the prior densities for $Q$ and $\Sigma$ are standard, but note that we are placing a prior on the initial value of $\beta$.
The prior densities are assumed to be independent, $p(\beta_{0}, Q, \Sigma) = p(\beta_0) p(\Sigma ) p(Q)$, and are given by
\begin{align}
p(\beta_0 ) &= \mathcal{N} (\bar{\beta}, \Xi_{\beta}) \\
p(\Sigma ) &= \mathcal{I} \mathcal{W} (\Xi_{\Sigma}, \gamma_\Sigma) \\
p(Q ) &= \mathcal{I} \mathcal{W} (\Xi_{Q}, \gamma_Q)
\end{align}
For $p(\beta_0)$, we use a subset of $Y$, $Y_{1:\tau}$, as a training sample to initialise estimation of $\beta_{\tau+1:T}$. $\bar{\beta}$ becomes the OLS estimate of $\beta$,
\begin{equation*}
\widehat{\beta} = \left( \sum_{t=1}^{\tau} X_t^{\top} X_t \right)^{-1} \left(\sum_{t=1}^{\tau} X_t^{\top} Y_t \right),
\end{equation*}
$\Xi_\beta$ serves to scale the variance of the OLS estimate,
\begin{equation*}
V \left(\widehat{\beta}\right) = \frac{1}{\tau - (1 + m \cdot p)} \left( \sum_{t=1}^{\tau} X_t^{\top} \left( \sum_{s=1}^\tau \varepsilon_{Y,s} \varepsilon_{Y,s}^{\top} \right)^{-1} X_t \right)^{-1},
\end{equation*}
and the location matrix of $Q$ becomes $\Xi_Q \cdot \tau$ times the variance of the OLS estimate. Thus, the three prior densities become:
\begin{align}
p(\beta_0 ) &= \mathcal{N} \left( \widehat{\beta}, \Xi_{\beta} \cdot V(\widehat{\beta}) \right) \\
p(\Sigma ) &= \mathcal{I} \mathcal{W} (\Xi_{\Sigma}, \gamma_\Sigma) \\
p(Q ) &= \mathcal{I} \mathcal{W} \left( \Xi_{Q} \cdot \tau \cdot V(\widehat{\beta}), \gamma_Q \right)
\end{align}
The standard factorisation of the posterior density kernel applies, so we can implement a Gibbs-style sampler. The conditional posterior distributions of $\Sigma$ and $Q$ are
\begin{align}
p(\Sigma | \beta_{1:T}, Q,Z,y) &= \mathcal{IW} \left( \Xi_{\Sigma} + \sum_{t=1}^T (y_t - X_t\beta_{t}) (y_t - X_t \beta_{t})^{\top} , T + \gamma_\Sigma \right) \\
p(Q | \beta_{0:T}, \Sigma,Z,y) &= \mathcal{IW} \left( \Xi_{Q} + \sum_{t=1}^T (\Delta \beta_{t}) (\Delta \beta_{t})^{\top}, T + \gamma_Q \right)
\end{align}
where $\Delta$ is the first-difference operator.
The conditional posterior distribution of the coefficient matrix $\beta_{1:T}$, $p(\beta_{1:T} | \Sigma, Q, \mathcal{Y}^T)$, is a little more complicated, however.
Let $\mathcal{Y}^T = \{ \mathcal{Y}_t \}_{t=1}^T$ be the set of all observations, where a superscript denotes all information up to and including time $t$, whereas a subscript implies a specific observation at time $t$. We can factorise the joint conditional posterior density of $\beta_{1:T}$ to
\begin{equation}
p(\beta_{1:T} | \Sigma, Q, \mathcal{Y}^T) = p(\beta_{T} | \Sigma, Q, \mathcal{Y}^T) \prod_{t=1}^{T-1} p(\beta_{t} | \beta_{t+1}, \Sigma, Q, \mathcal{Y}^t)
\end{equation}
where
\begin{align}
p(\beta_{T} | \Sigma, Q, \mathcal{Y}^T) &= \mathcal{N} (\beta_{T}, P_{T}) \\
p(\beta_{t} | \beta_{t+1}, \Sigma, Q, \mathcal{Y}^t) &= \mathcal{N} (\beta_{t | t+1}, P_{t | t+1})
\end{align}
are the conditional predictive densities, with
\begin{align*}
\beta_{t | t-1} &= \mathbb{E} (\beta_t | \mathcal{Y}^{t-1} , \Sigma, Q) \\
P_{t | t-1} &= V(\beta_t | \mathcal{Y}^{t-1} , \Sigma, Q)
\end{align*}
(See, for example, Carter and Kohn (1994) for details, and Cogley and Sargent (2005) and Primiceri (2005) for applications (and very detailed appendices).)
For each sampling iteration, we evaluate $p(\beta_{1:T} | \Sigma, Q, \mathcal{Y}^T)$ using the Durbin and Koopman (2002) simulation smoother. The process is divided into four parts.
- Using the form
\begin{align}
Y_t &= X_t \beta_t + \varepsilon_{Y,t} \\
\beta_t &= \beta_{t-1} + \varepsilon_{\beta,t}
\end{align}
simulate a new series of $Y_t^{(+)}$ and $\beta^{(+)}$. Let $Y^{(*)} = Y - Y^{(+)}$.
- Use the Kalman filter to find $\widehat{\beta}_{1:T}$.
- Initial values: $\beta_0$ and $P_0$.
- Find the residual, the residual covariance matrix, and the Kalman gain matrix:
\begin{align*}
\epsilon_{t+1} &= Y_{t+1}^{(*)} - X_{t+1} \beta_{t | t} \\
F_{t+1} &= X_{t+1} P_{t | t} X_{t+1}^{\top} + \Sigma \\
K_{t+1} &= P_{t | t} X_{t+1}^{\top} F_{t+1}^{-1}
\end{align*}
respectively.
- Update the predicted $\beta_{t+1}$ and $P_{t+1}$ series with $t+1$ information,
\begin{align*}
\beta_{t+ 1 | t + 1} &= \beta_{t | t} + K_{t+1} \epsilon_{t+1} \\
P_{t +1 | t + 1} &= P_{t | t} (\mathbb{I} - K_{t+1} X_{t+1})^\top + Q
\end{align*}
- Then, using the filtered series, calculate
\begin{equation*}
r_{t-1} = X_t F_{t}^{-1} \epsilon_t + (\mathbb{I} - K_{t+1} X_{t+1})^\top r_t
\end{equation*}
such that $r_T = \mathbf{0}$.
A smoothed estimate of $\beta_{t+1}$ is then given by:
\begin{equation*}
\widehat{\beta}_{t}^{(*)} = \widehat{\beta}_{t-1}^{(*)} + Q r_t
\end{equation*}
- The mean of the $h$-th draw is then
\begin{equation*}
\beta^{(h)} = \widehat{\beta}^{(*)} + \beta^{(+)}
\end{equation*}
Proceeding to draw $Q^{(h)}$ and $\Sigma^{(h)}$ is standard.
Example
rm(list=ls())
library(BMR)
#
data(BMRVARData)
bvar_data <- data.matrix(USMacroData[,2:4])
#
tau <- 80
XiBeta <- 4
XiQ <- 0.005
gammaQ <- tau
XiSigma <- 1
gammaS = 4
which_irfs = c(17,53,89,125)
bvar_obj <- new(bvartvp)
#
bvar_obj$build(bvar_data,TRUE,1)
bvar_obj$prior(tau,XiBeta,XiQ,gammaQ,XiSigma,gammaS)
bvar_obj$gibbs(10000,5000)
IRF(bvar_obj,20,which_irfs,var_names=colnames(USMacroData),save=FALSE)
plot(bvar_obj,var_names=colnames(USMacroData),save=FALSE)


Keyword Maps
Keywords that appear in at least 5 papers from both paper sets (science communication and misinformation):
Keywords from science communication including relevant papers found using the Automated Bibliography:
About the Keyword Maps
The keyword maps are similar to the co-authorship maps. Instead of authors as nodes, keywords of papers are the nodes. The keywords are pulled from the titles and abstracts of the papers in our datasets. The keyword maps were created using VOSviewer.
The map above only shows keywords that appear in at least 5 papers from both paper sets. The map below only includes papers from science communication. We used default values for the bottom image. This included keyword from titles and abstracts, binary counting, a minimum of 10 occurrences of a term, and 60% most relevant terms (based on a calculated relevance score). Both maps are static and not interactive like the co-authorship graphs.
The two maps contain many of the same clusters. The primary difference is the large climate change cluster in the second map.
Contact
Please contact us if you have any questions or comments about the tools, data or other content.


Junior Software Developer
Projects Coordinator
Company Name: Prometal Metal Industries Factory L.L.C
Dates Employed Aug 2012 – Nov 2012
Location Dubai/UAE
This factory is for steel and wooden (fire rated,security,blast resistant,bullet resistant) doors manufacturing
my scope of work was to coordinate between the company departments (sales,commercial, and technical) along with the clients to achieve the expected delivery date with the most expected quality the clients want.
Engineer "In Side Plan"
Company Name :Tarkeeb
Dates Employed 2009 – 2012
Employment Duration 3 yrs
Location Dubai/UAE
- Responsibilities and Duties:
-carry out site surveys and inspections, check and verify the contractor’s activity according DU guidelines, regulations, drawings and approvals.
- Outside Plane OSP Inspections, check the infra-structure connections “manholes and ducts” before Fiber cables pulling
Electrical Engineer
Company Name: Al Hashimi consultant company
Dates Employed Apr 2008 – Sep 2009
Employment Duration 1 yr 6 mos
Location Dubai/UAE
i used to take inspections for the electrical activities and installations in the buildings for a project called "Tijara Towen" in DUBAI, i was taking responsibility of 10 (G+HC+7) buildings in the same time with different contractors
i was taking responsibility of 5 (G+4) building in a project in Al Muhaisenah 4, in DUBAI, i worked as an MEP engineer
Co-Founder
Company Name: PiecesBXL
Dates Employed June 2020 till now
Locatio Brussels/Belgium
Team Leader
Company Name: VeePee
Dates Employed Nov 2019 – May 2020
Locatio Lot/Belgium
Assistant Project Manager
Company Name: Startup Factory Brussels
Dates Employed Mar 2019 – Nov 2019
Locatio Brussels/Belgium
Community Engagement and Development Manager
Company Name : Gaza Sky Geeks
Dates Employed May 2014 – Dec 2018
Employment Duration 4 yrs 8 mos
Location Palestine
-Gaza Sky Geeks representative within Gaza Tech-sector.
- Gaza Sky Geeks Outreach team manager by planning and oversee outreach activities and events.
- Working in creating an involvement/activities where Gaza Sky Geeks community members share their knowledge and experience
Manage and coordinate all the operations for Gaza Sky Geeks including big events organizing.
- Manage the procurement and finance reporting for Gaza Sky Geeks.
- Manage the HR for Gaza Sky Geeks.
- Manage Gaza Sky Geeks co-working space rental and usage
Manage Gaza Sky Geeks local partnership and sponsorship relation
Operations Consultant
Company Name: Zumrod Inc.
Dates Employed Mar Jun 2016 – Jun 2017
Locatio Saudi Arabia
Social Media Specialist
Company Name: Stylish Max
Dates Employed Mar Jan 2014 – Apr 2014
Locatio China


Tories deserve to win the economic battle
by Christian MayThe Conservatives have taken a fair bit of stick for their claim that “the cost of Corbyn” would come in at £1.2 trillion.
Independent fact-checkers have dismissed the methodology and pointed out that it’s difficult for the Tories to cost Labour’s manifesto commitments when the manifesto hasn’t been published.
Still, the £1.2 trillion figure isn’t going back in the box, and Tory campaign chiefs are pumping it out on social media combined with a neat animation showing every taxpayer in the UK being hit with an additional £2,400 tax bill to pay for it all.
This figure is obviously absurd since it assumes all taxpayers pay an equal amount, but the claim is similar to Labour’s assertion that a US-UK trade deal will add £1bn a month to the cost of imported medicines.
In both cases, a crude hypothetical is deployed to illustrate what each party considers a valid point: that Labour will raise your taxes and the Tories can’t be trusted with the NHS.
These two propositions represent the most comfortable ground for each party.
But Labour has its work cut out on the NHS, with recent polls suggesting that their traditionally strong lead over the Tories on this issue is disappearing.
When it comes to trust on the economy, it’s good news for the Tories. The latest Lord Ashcroft Poll gives Johnson and Sajid Javid a near 20 point lead over Corbyn and John McDonnell.
Labour will try to paint the Tories as a party of the rich (nothing new there) but the economic record of George Osborne, Philip Hammond and now Javid should be defended.
The Institute for Fiscal Studies notes that tax policy will be a battleground in this election, and so yesterday released a briefing note containing key facts.
The first thing to note from the IFS wonks is their conclusion that the tax system as it stands, is undoubtedly progressive.
The highest-earning fifth of individuals have a household income that is 12 times higher than the bottom fifth, but after tax and benefits this falls to being just five times higher.
The other takeaway from the IFS is its confirmation that the top one per cent of earners are now paying 30 per cent of all income tax, up from 25 per cent in 2010.
Armed with this evidence and bolstered by Labour’s undeniably reckless spending pledges, the Tory lead on economic competence should climb higher still.
Image credit: Getty


You can read all questions from the Fare Survey 2016 here. Please click Fare Survey 2016 Questionnaire
{% extends 'base.html' %} {% block content %}
You can read all questions from the Fare Survey 2016 here. Please click Fare Survey 2016 Questionnaire


Offering a wide variety of services for the greater Seattle area.
Experienced in the myriad of remodeling services that are so often necessary for both residential homes and commercial establishments. Anthony and his crew are professional, knowledgeable and trustworthy.
If you're looking for flooring installation, painting services, or a new kitchen or bathroom you've come to the right place. Anthony is an efficient, knowledgeable individual who is willing to work with his clients to ensure that his work is done to their satisfaction. His track record of pleased clientele is a testimony to his expertise as a residential and commercial services contractor.
We also offer pressure washing, carpet stretching/repair and new installation, roof and gutter cleaning/repair and replacement, new window and door installation, home rental preparation, home repair, and general maintenance along with lawn maintenance and care. Basically almost anything you need done to your home or business just give us a call.
We offer free estimates for whatever project you need done. Get your Free Quote!


User {{ data.username }} want Sudo Privilege Access to the Respective Server {{ data.server_ip }} .
Please check his/her purpose for sudo privilege,If is satisfactory Please provide grant sudo access on form {{ data.name }} through UI and Share user password on Mail
| Form Details | Passphrase | Purpose | Account Expiry Date |
|---|---|---|---|
| {{ data.name }} | {{ password }} | {{ data.purpose }} | {{ data.time_period }} |


Biker! arcade game
Help the brave biker to cross the street in the rush hour.
Use the arrow keys to drive the motorcycle across the street. Don't hit any car!


Bilingual in English and Spanish. Strong communication skills as well as interpersonal team building skills. Proficient with a wide range of scripting languages and multimedia web tools. Experienced in all five stages of the web development process including: information gathering, planning, design, development, testing and delivery and maintenance. Detail oriented, fast learner looking to tell dynamic stories through the creation of innovative website design and usability.
Languajes:
Javascript, Ruby, HTML, CSS, PHP
Frameworks, libraries and environment:
NodeJS, ReactJS, Rails, Ajax, Express, Knex, EJS, JQuery, Bootstrap, SASS, SocketIO
Systems, CMS and databases:
SQL, MongoDB, Git


Records
$if len(wikilist) > 0:| Record | Created by | Modified by | Last modified | Stage | Actions |
|---|---|---|---|---|---|
| $result[1] $type[0] |
$result[2] | $result[3] | $result[4][:10] $result[4][11:-1] |
$result[5] | $if result[5] == 'not modified' or result[5] == 'modified' or result[5] == '-': $elif result[5] == 'in review': $elif result[5] == 'published': $else: unknown |
There are no records to show!
If this looks like a mistake, control your setup configuration - e.g. the endpoint URL or the base URL.


If you plan on ordering more than 10 texts, it will be faster to upload them with one of our standard files


Sax Guy Sync
Play Gandalf Sax Guy At The Same Time
With this you can do something like
this
Choose a time for the music :


Vergennes Laundry
Home
Sales Data
Locations
Hillsboro | Pearl | Downtown Portland | Buckman | Portland Aiport | Clackamas
Hours
Tuesday-Sunday: 8am - 2am
Monday: Closed
Images from #vergenneslaundry Instagram and the New York Times
©Lizzie Gooding 2016.


|
MAX32665 SDK Documentation
0.2
Software Development Kit Overview and API Documentation
|
SPIX IO Control Register. More...
Macros | |
| #define | MXC_F_SPIXF_IO_CTRL_SCLK_DS_POS 0 |
| IO_CTRL_SCLK_DS Position. | |
| #define | MXC_F_SPIXF_IO_CTRL_SCLK_DS ((uint32_t)(0x1UL << MXC_F_SPIXF_IO_CTRL_SCLK_DS_POS)) |
| IO_CTRL_SCLK_DS Mask. | |
| #define | MXC_F_SPIXF_IO_CTRL_SS_DS_POS 1 |
| IO_CTRL_SS_DS Position. | |
| #define | MXC_F_SPIXF_IO_CTRL_SS_DS ((uint32_t)(0x1UL << MXC_F_SPIXF_IO_CTRL_SS_DS_POS)) |
| IO_CTRL_SS_DS Mask. | |
| #define | MXC_F_SPIXF_IO_CTRL_SDIO_DS_POS 2 |
| IO_CTRL_SDIO_DS Position. | |
| #define | MXC_F_SPIXF_IO_CTRL_SDIO_DS ((uint32_t)(0x1UL << MXC_F_SPIXF_IO_CTRL_SDIO_DS_POS)) |
| IO_CTRL_SDIO_DS Mask. | |
| #define | MXC_F_SPIXF_IO_CTRL_PU_PD_CTRL_POS 3 |
| IO_CTRL_PU_PD_CTRL Position. | |
| #define | MXC_F_SPIXF_IO_CTRL_PU_PD_CTRL ((uint32_t)(0x3UL << MXC_F_SPIXF_IO_CTRL_PU_PD_CTRL_POS)) |
| IO_CTRL_PU_PD_CTRL Mask. | |
| #define | MXC_V_SPIXF_IO_CTRL_PU_PD_CTRL_TRI_STATE ((uint32_t)0x0UL) |
| IO_CTRL_PU_PD_CTRL_TRI_STATE Value. | |
| #define | MXC_S_SPIXF_IO_CTRL_PU_PD_CTRL_TRI_STATE (MXC_V_SPIXF_IO_CTRL_PU_PD_CTRL_TRI_STATE << MXC_F_SPIXF_IO_CTRL_PU_PD_CTRL_POS) |
| IO_CTRL_PU_PD_CTRL_TRI_STATE Setting. | |
| #define | MXC_V_SPIXF_IO_CTRL_PU_PD_CTRL_PULL_UP ((uint32_t)0x1UL) |
| IO_CTRL_PU_PD_CTRL_PULL_UP Value. | |
| #define | MXC_S_SPIXF_IO_CTRL_PU_PD_CTRL_PULL_UP (MXC_V_SPIXF_IO_CTRL_PU_PD_CTRL_PULL_UP << MXC_F_SPIXF_IO_CTRL_PU_PD_CTRL_POS) |
| IO_CTRL_PU_PD_CTRL_PULL_UP Setting. | |
| #define | MXC_V_SPIXF_IO_CTRL_PU_PD_CTRL_PULL_DOWN ((uint32_t)0x2UL) |
| IO_CTRL_PU_PD_CTRL_PULL_DOWN Value. | |
| #define | MXC_S_SPIXF_IO_CTRL_PU_PD_CTRL_PULL_DOWN (MXC_V_SPIXF_IO_CTRL_PU_PD_CTRL_PULL_DOWN << MXC_F_SPIXF_IO_CTRL_PU_PD_CTRL_POS) |
| IO_CTRL_PU_PD_CTRL_PULL_DOWN Setting. | |


Individual counseling is a cooperative and respectful process between therapist and client to facilitate change. As a client, you will be provided a safe, confidential, and supportive environment to pursue the work and change for which you seek. Engaging in counseling during challenging times takes courage and commitment. The benefits of counseling can lead to greater self-awareness, insight and strength to face the challenges of life and to find joy and meaning.
 ~Joe Cordare
For more information: Contact Us
Couples counseling is intended to offer hope and nourishment to any relationship in distress. The safety and intentionality that comes with couples counseling is often what is needed to reconnect you with your significant other and foster healthy forms of communication. Couples therapy can also be used in more proactive ways to improve a relationship. Nothing better equips you to face the stresses of life than the support and strength that comes from a healthy, full marriage.
"Your task is not to seek for love, but merely to seek and find all the barriers within yourself that you have built against it." -Rumi
For more information: Contact Us
Adolescents today face many issues and challenges that can lead to feeling overwhelmed and confused. These years can be a time of great vulnerability for a teen which may lead to poor choices and problematic behavior. The adolescent years are riddled with transitional issues - physical and emotional changes along with the desire to establish independence from their parents, which can result in feelings of confusion and discouragement. Teens often don't have the needed coping skills to deal with this significant distress which may lead to your teen engaging in risky behaviors or becoming depressed and/or anxious.
Sometimes, adolescents may just need someone outside of their family to discuss the stressors they are dealing with and help them relieve the pressure they feel. For others, who are dealing with more severe issues such as depression, anxiety, violent behaviors, sexual acting out, school/home behavioral problems, or substance abuse, will need more significant intervention.
If there is anything that we wish to change in the child, we should first examine it and see whether it is not something that could better be changed in ourselves. ~C.G. Jung, Integration of the Personality, 1939
For more information: Contact Us
Most children go through difficult times, such as divorce of their parents, trouble making friends, or adjusting to changes at school or home. Some children need more help than others to get through these times. Play therapy is the most appropriate treatment for helping children work through difficult times and helping parents gain a better understanding of what their child is going through.
Children ages 3-10 benefit most from play therapy versus traditional "talk therapy" as they can more effectively process through difficult situations and difficult emotions through play. What counseling and psychotherapy aim to do for adults, play therapy aims to do for children. Through play therapy, children learn to communicate with others, express feelings, modify behavior, develop problem-solving skills, and learn a variety of ways of relating to others. Play provides a safe psychological distance from their problems and allows expression of thoughts and feelings appropriate to their development.
Play therapy allows trained mental health practitioners who specialize in play therapy, to assess and understand children's play. Further, play therapy is utilized to help children cope with difficult emotions and find solutions to problems.
The practice of play therapy requires extensive specialized education, training, and experience. A play therapist is a licensed (or certified) mental health professional who has earned a Master's or Doctorate degree in a mental health field with considerable general clinical experience and supervision. With advanced, specialized training, experience, and supervision, mental health professionals may also earn the Registered Play Therapist (RPT) or Registered Play Therapist-Supervisor (RPT-S) credentials. The Stone Center for Counseling & Leadership has several experienced play therapists on staff who specialize in play therapy and child-related issues.
Kids spell love T-I-M-E. ~John Crudele
For more information: Contact Us
Families often need and seek support to make it through the challenges everyday life. Family counseling can help families improve communication and resolve conflict. Intended to improve connections among family members, family counseling impacts families to grow and change both individual members and the family as a whole. The health of the family also plays a large role when working with divorced and blended families. Strengthening the family relationships, co-parenting abilities, and decreasing family conflict allow children to thrive.
"In every conceivable manner the family is link to our past, bridge to our future." --Alex Haley
For more information: Contact Us
Learn basic communication techniques that will improve your relationship with your child(ren).  Gain confidence in your parenting skills, help build your child's self-esteem, learn how to understand your child's language and gain better insight into their behavioral challenges. Learn effective discipline methods that teach responsibility and decrease power struggles. Every family is different, has different challenges, values and priorities. Your coaching session(s) are tailored to your family and to meet your specific needs and goals. Coaching begins with a meeting to discuss and gain an understanding of your current challenges and goals. A parenting plan will be developed and the number of sessions will be based on your particular goals.
For more information: Contact Us


System Architect Picture "Classification Element"
Parent Diagram:
Knowledge Concept
(OMT Object Model)


#include <search.h>
search stare
| bool Search::allow_node_splitting |
allow parallelism
| Board Search::board[1] |
othello board
| bool Search::can_update |
flag allowing to extend time
| struct Search* Search::child[MAX_THREADS] |
child search
| volatile unsigned long long Search::child_nodes |
node counter
| int Search::depth |
depth level
depth
| int Search::depth_pv_extension |
depth for pv_extension
| SquareList Search::empties[BOARD_SIZE+2] |
list of empty squares
| Eval Search::eval[1] |
eval
| bool Search::extended |
flag to extend time only once
| long long Search::extra |
extra alloted time
| bool Search::guess_pv |
guess PV (in cassio mode only)
| HashTable Search::hash_table[1] |
hashtable
| const char* Search::header |
array like header
| int Search::height |
search height from root
| int Search::id |
search id
| bool Search::keep_date |
keep date
| struct Search* Search::master |
master search (parent of all searches)
| long long Search::maxi |
maximal alloted time
| long long Search::mini |
minimal alloted time
| MoveList Search::movelist[1] |
list of moves
| int Search::multipv_depth |
multi PV depth
| volatile int Search::n_child |
search child number
| int Search::n_empties |
number of empty squares
| volatile unsigned long long Search::n_nodes |
node counter
| void(* Search::observer)(Result *) |
call back function to print search result
| struct { ... } Search::options |
local (threadable) options.
| struct Search* Search::parent |
parent search
| unsigned int Search::parity |
parity
| int Search::player |
player color
| int Search::probcut_level |
probcut recursivity level
| HashTable Search::pv_table[1] |
hashtable for the pv
| Random Search::random[1] |
random generator
| Result* Search::result |
shared result
| int Search::selectivity |
selectivity level
final selectivity
| const char* Search::separator |
array like separator
| HashTable Search::shallow_table[1] |
hashtable for short search
| volatile long long Search::spent |
time spent thinking
| SpinLock Search::spin |
search lock
| Bound Search::stability_bound |
score bounds according to stable squares
| volatile Stop Search::stop |
thinking status
| struct Task* Search::task |
search task
| struct TaskStack* Search::tasks |
available task queue
| struct { ... } Search::time |
time
| long long Search::time |
time in sec.
| bool Search::time_per_move |
time_per_move or per game ?
| int Search::verbosity |
verbosity level
| SquareList* Search::x_to_empties[BOARD_SIZE+2] |
link position to the list


Read and preprocess fasta format data, and construct the co-occurrence network for downstream analyses. This R package is to construct the co-occurrence network with the algorithm developed by Du (2008) <doi:10.1101/gr.6969007>. It could be used to transform the data with high-dimension, such as DNA or protein sequence, into co-occurrence networks. Co-occurrence network could not only capture the co-variation pattern between variables, such as the positions in DNA or protein sequences, but also reflect the relationship between samples. Although it is originally used in DNA and protein sequences, it could be also used to other kinds of data, such as RNA, SNP, etc.
| Version: | 0.1.6 |
| Depends: | R (≥ 3.2.0) |
| Imports: | seqinr, igraph, bigmemory, Matrix, foreach, parallel, pryr, knitr, doParallel |
| Published: | 2017-01-27 |
| Author: | Yuanqiang Zou, Yousong Peng and Taijiao Jiang |
| Maintainer: | Yuanqiang Zou <jerrytsou2001 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | cooccurNet results |
| Reference manual: | cooccurNet.pdf |
| Vignettes: |
Extending cooccurNet |
| Package source: | cooccurNet_0.1.6.tar.gz |
| Windows binaries: | r-devel: cooccurNet_0.1.6.zip, r-release: cooccurNet_0.1.6.zip, r-oldrel: cooccurNet_0.1.6.zip |
| OS X binaries: | r-release: cooccurNet_0.1.6.tgz, r-oldrel: cooccurNet_0.1.6.tgz |
| Old sources: | cooccurNet archive |
Please use the canonical form https://CRAN.R-project.org/package=cooccurNet to link to this page.


Any module that imports from the pyinq package is treated as a PyInq test module upon load. Thus, upon running the module, all tests in the file will be picked up and executed according to the command line options provided.
Writting a test is very simple. In PyInq, a test is just a function that is decorated with the test() tag:
from pyinq.tags import test
@test
def my_first_test():
pass
Note that the test function does not have any parameters. A PyInq test must not take any parameters.
PyInq includes a number of tags for different operations, all of which are included in pyinq.tags.
If you run the above test, you’ll notice it doesn’t actually do anything. Some output is produced, including a report on my_first_test() which informs you it contains no asserts. While this isn’t a problem for PyInq, it probably isn’t what you wanted. You probably wanted to run some of your code, then check that the correct values were affected. You wanted assert functions!
To begin, let’s add an assert:
from pyinq.tags import test
from pyinq.asserts import assert_true
@test
def single_assert():
assert_true(True)
The above is a use of the most basic assert function, assert_true(). Its only argument is a Python expression. If the expression has a truth value of True, it passes; otherwise, it fails. Since its argument is the boolean value True, the above test will pass.
Upon execution, you will see a brief report on this test, including a status indicating it passed. This is because all asserts in the test passed. If a single assert fails, the entire test fails. Additionally, for each assert you will see a line indicating its success, as in the following example:
from pyinq.tags import test
from pyinq.asserts import assert_true,assert_false
@test
def two_asserts():
assert_true(True)
assert_false(False)
Both tests pass, so the test itself passes. Also, we once again see a line for each assert function call in test report.
All assert fucntions are included in the pyinq.asserts package.
Clearly, the examples so far have been incredibly simple, and if you are unfamiliar with unit testing, they may have left you wondering what the point is. So before I go any further, let me give you a more realistic (albeit still somewhat simple) example using a function built in to Python:
import random
from pyinq.tags import test
from pyinq.asserts import assert_in,assert_equal,assert_not_equal
@test
def shuffle_test():
seq = range(0,10)
shuffled = random.shuffle(seq)
assert_not_equal(seq,shuffled)
assert_equal(len(seq),len(suffled))
for item in shuffled:
assert_in(item,seq)
In the above test, the random.shuffle() function is being tested. If the sequence is shuffled, then it should not be equal to the original sequence, although their lengths should be equivalent. Additionally, all items in the shuffled sequence should be present in the original sequence. This guarantees the shuffled sequence has the exact same contents as the original sequence (no more and no less), but they do not appear in the same order.
All of the previous examples are set up such that the asserts will indeed pass. But what happens when an assert fails?:
from pyinq.tags import test
from pyinq.asserts import assert_true
@test
def failing_assert():
assert_true(False)
The test status is reported as failed, and the assert function call is also reported as failed. Given the behavior when an assert passes, this is not surprising.
But what if a test contains multiple asserts?:
from pyinq.tags import test
from pyinq.asserts import assert_true
@test
def asserts_failing():
assert_true(False)
assert_true(True)
Note that only the first assert statement is listed in the report. The second assert’s output is not displayed. This is because the second assert is not executed. This exposes a key feature of assert statements; a failed assert causes the current test to halt. This can be an incredibly useful detail. It means that following an assert, you may assume that expression is true until an object in the expression is modified. If the condition wasn’t true, then the test would have ended.
For example, in the following test it is first asserted that the variable foo is a string, then that it contains only alphabetic characters. After the first assert, there is no need to check that foo is a string. Since the test is still running, and foo hasn’t been modified, foo must be a string, so we can safely operate on it as such:
from pyinq.tags import test
from pyinq.asserts import assert_true,assert_is_instance
@test
def test_assert():
foo = "hello"
assert_is_instance(foo, str)
assert_true(foo.isalpha())
Sometimes you will execute code which will raise an error. It may be unexepected, such as errors caused by an issue during file I/O. They may be expected, such as with a StopIteration error. But either way, errors will occur, and PyInq must deal with it.
When an error is raised, PyInq first checks if that error was expected (this is discussed in detail in Writing Better Tests). If so, it will be handled in the appropriate manner. If it is unexpected, PyInq will log the error (including traceback) and halt the test. This way, the test will not produce any false results by attempting to continue, and all the information about the error is available to you for correction. A test which terminated due to an error will be be given a status indicating as much.
That covers all the basics of unit testing. You could do all of your testing using just what you’ve learned in this short document.
But that would be silly! For all but the smallest projects, your tests would quickly get large and unmanageable, full of redundant and verbose code. Luckily, PyInq provides you with many more features to ease your coding and clean up your tests. Check out the Writing Better Tests guide for a walkthrough of PyInq’s more advanced features.


{% include navbar.html %}
{% include header.html %}
{% include home.html %}
People
All deez cool peeps
Shwiggity
{% include research.html %}
{% include publications.html %}
{% include news.html %}
{% include about.html %}
{% include footer.html %}
{% include modals.html %}
{% include javascript.html %}


| Trees | Indices | Help |
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A class that represents an executable image and any associated data
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| Generated by Epydoc 3.0.1 on Fri Jul 19 13:22:36 2013 | http://epydoc.sourceforge.net |


|
{{action}} Application
This is your API KEY (X-DreamFactory-Application-Name)
Public name on LaunchPad Public description on LaunchPad Default Path This is the default file to load when your app is loaded.
Your URL will be: {{currentServer}}/{{storageContainers[app.storage_service_id].name}}/{{app.storage_container}}/{{app.api_name}}{{app.url}}
Full Screen Options
Assign this app to a role(s).
Each user who is assigned to one of the selected roles will have access to this app. Go to the Roles tab to create and manage roles.
{{alert.message}}
|


You forgot to fill this out.
{{ field.$name }} {{ field.$viewValue }} already exists.
This field is invalid.
This value should be greater than {{ min }}.
This value should be less than {{ max }}.
This should be a number.
This should be a whole number.
This should be formatted as<EMAIL_ADDRESS>The address you entered could not be validated.


# Normalizer adapated from the jsonschema validator
import copy
import contextlib
import jsonschema
from cis_interface.metaschema.datatypes import get_type_class, _jsonschema_ver_maj
[docs]class UndefinedProperty(object):
r"""Class to be used as a flag for undefined properties."""
pass
[docs]class UninitializedNormalized(object):
r"""Class to be used as a flag for uninitialized normalized value."""
pass
[docs]def create(*args, **kwargs):
r"""Dynamically create a validation/normalization class that subclasses
the jsonschema validation class.
Args:
normalizers (dict, optional): Keys are tuples representing paths that
exist within the schema at which the normalization functions stored
in lists as their value counterparts should be executed. Defaults to
empty dictionary.
no_defaults (bool, optional): If True, defaults will not be set during
normalization. Defaults to False.
required_defaults (bool, optional): If True, defaults will be set for
required properties, even if no_defaults is True. Defaults to False.
*args: Additional arguments are passed to jsonschema.validators.create.
**kwargs: Additional keyword arguments are passed to
jsonschema.validators.create.
"""
normalizers = kwargs.pop('normalizers', ())
no_defaults = kwargs.pop('no_defaults', ())
required_defaults = kwargs.pop('required_defaults', ())
validator_class = jsonschema.validators.create(*args, **kwargs)
class Normalizer(validator_class):
r"""Class that can be used to normalize (or validate) objects against
JSON schemas.
Args:
*args: Additional arguments are passed to the base validator class.
**kwargs: Additional keyword arguments are passed to the base
validator class.
Attributes:
NORMALIZERS (dict): Keys are tuples representing paths that exist
within the schema at which the normalization functions stored in
lists as their value counterparts should be executed.
NO_DEFAULTS (bool): If True, defaults will not be set during
normalization.
REQUIRED_DEFAULTS (bool): If True, defaults will be set for required
properties, even if NO_DEFAULTS is True.
"""
NORMALIZERS = dict(normalizers)
NO_DEFAULTS = no_defaults
REQUIRED_DEFAULTS = required_defaults
def __init__(self, *args, **kwargs):
super(Normalizer, self).__init__(*args, **kwargs)
self._normalized = UninitializedNormalized()
self._normalizing = False
self._old_settings = {}
self._path_stack = []
self._schema_path_stack = []
self._normalized_stack = []
def iter_errors(self, instance, _schema=None):
r"""Iterate through all of the errors encountered during validation
of an instance at the current level or lower against properties in a
schema.
Args:
instance (object): Instance that will be validated.
_schema (dict, optional): Schema that the instance will be
validated against. Defaults to the schema used to initialize
the class.
Yields:
ValidationError: Errors encountered during validation of the
instance.
"""
if _schema is None:
_schema = self.schema
if self._normalizing:
if isinstance(self._normalized, UninitializedNormalized):
self._normalized = copy.deepcopy(instance)
instance = self._normalized
if ((self._normalizing
and isinstance(_schema, dict) and (u"$ref" not in _schema))):
# Path based normalization
try:
# print(self.current_schema_path, instance, type(instance), _schema)
if self.current_schema_path in self.NORMALIZERS:
normalizers = self.NORMALIZERS[self.current_schema_path]
for n in normalizers:
instance = n(self, None, instance, _schema)
except BaseException as e:
error = jsonschema.ValidationError(str(e))
# set details if not already set by the called fn
error._set(
validator=n,
validator_value=None,
instance=instance,
schema=_schema)
yield error
self._normalized = instance
# Do defaults for required fields
if (((((not self.NO_DEFAULTS) or self.REQUIRED_DEFAULTS)
and isinstance(_schema.get('required', None), list)
and isinstance(_schema.get('properties', None), dict)
and self.is_type(self._normalized, "object")))):
for k in _schema['required']:
if (((k not in _schema['properties'])
or (k in self._normalized))):
continue
default = _schema['properties'][k].get('default', None)
self._normalized[k] = default
instance = self._normalized
# Do default and type first so normalization can be validated
for k in ['default', 'type']:
if (((k != 'default')
and isinstance(instance, UndefinedProperty))):
return
if k not in _schema:
continue
v = _schema[k]
validator = self.VALIDATORS.get(k)
if validator is None:
continue
errors = validator(self, v, instance, _schema) or ()
for error in errors:
# set details if not already set by the called fn
error._set(
validator=k,
validator_value=v,
instance=instance,
schema=_schema,
)
if k != u"$ref":
error.schema_path.appendleft(k)
yield error
instance = self._normalized
self._normalized = instance
for e in super(Normalizer, self).iter_errors(instance, _schema=_schema):
yield e
@property
def current_path(self):
r"""tuple: Current path from the top of the instance to the current
instance being validated/normalized."""
return tuple(self._path_stack)
@property
def current_schema_path(self):
r"""tuple: Current path from the top of the schema to the current
schema being used for validation/normalization."""
return tuple(self._schema_path_stack)
@contextlib.contextmanager
def normalizing(self, **kwargs):
r"""Context for normalization that records normalizers before
context is initialized so that they can be restored once the context
exist.
Args:
**kwargs: Keyword arguments are treated as attributes that
should be added to the class in the context. If the class
already has an attribute of the same name, it is stored
for restoration after the context exits.
Yields:
ValidationError: Errors encountered during validation.
"""
for k, v in kwargs.items():
if k == 'normalizers':
if self.NORMALIZERS: # pragma: debug
raise Exception("Uncomment lines below to allow "
+ "addition of default normalizers.")
# for ik, iv in self.NORMALIZERS.items():
# v.setdefault(ik, iv)
elif k == 'validators':
for ik, iv in self.VALIDATORS.items():
v.setdefault(ik, iv)
if hasattr(self, k.upper()):
ksub = k.upper()
else:
ksub = k
self._old_settings[ksub] = getattr(self, ksub, None)
setattr(self, ksub, v)
self._normalizing = True
try:
yield
finally:
for k, v in self._old_settings.items():
if v is None:
delattr(self, k)
else:
setattr(self, k, v)
self._old_settings = {}
self._normalizing = False
def descend(self, instance, schema, path=None, schema_path=None):
r"""Descend along a path in the schema/instance, recording
information about the normalization state so that it can be replaced
with the original value if there is a validation error along the
descent path.
Args:
instance (object): Current instance being validated against the
schema.
schema (dict): Current schema that the instance is being
validated against.
path (str, int, optional): Path that resulted in the current
instance. Defaults to None.
schema_path (str, int, optional): Path that resulted in the
current schema. Defaults to None.
Yields:
ValidationError: Errors raised during validation of the instance.
"""
if self._normalizing:
if path is not None:
self._normalized_stack.append(self._normalized)
self._normalized = UninitializedNormalized()
else:
self._normalized_stack.append(self._normalized)
self._normalized = copy.deepcopy(self._normalized)
if path is not None:
self._path_stack.append(path)
if schema_path is not None:
self._schema_path_stack.append(schema_path)
failed = False
try:
for error in super(Normalizer, self).descend(instance, schema,
path=path,
schema_path=schema_path):
failed = True
yield error
finally:
if self._normalizing:
old_normalized = self._normalized_stack.pop()
if not (failed or isinstance(self._normalized, UndefinedProperty)):
if path is not None:
old_normalized[path] = self._normalized
else:
old_normalized = self._normalized
self._normalized = old_normalized
if path is not None:
self._path_stack.pop()
if schema_path is not None:
self._schema_path_stack.pop()
def validate(self, instance, _schema=None, normalize=False, **kwargs):
r"""Validate an instance against a schema.
Args:
instance (object): Object to be validated.
_schema (dict, optional): Schema by which the instance should be
validated. Defaults to None and will be set to the schema
used to create the class.
normalize (bool, optional): If True, the instance will also be
normalized as it is validated. Defaults to False.
**kwargs: Additional keyword arguments are passed to the
'normalizing' context if normalize is True, otherwise they
are ignored.
Returns:
object: Normalized instance if normalize == True.
"""
if normalize:
with self.normalizing(**kwargs):
super(Normalizer, self).validate(instance, _schema=_schema)
out = self._normalized
return out
else:
super(Normalizer, self).validate(instance, _schema=_schema)
def normalize(self, instance, _schema=None, **kwargs):
r"""Normalize an instance during validation, allowing for aliases,
defaults, or simple type conversions.
Args:
instance (object): Object to be normalized and validated.
_schema (dict, optional): Schema by which the instance should be
normalized and validated. Defaults to None and will be set
to the schema used to create the class.
**kwargs: Additional keyword arguments are passed to the
'normalizing' context.
Returns:
object: Normalized instance.
"""
with self.normalizing(**kwargs):
errors = list(self.iter_errors(instance, _schema=_schema))
# for e in errors[::-1]:
# print(80 * '-')
# print(e)
# print(80 * '-')
if errors:
return instance
else:
return self._normalized
def is_type(self, instance, types):
r"""Determine if an object is an example of the given type.
Args:
instance (object): Object to test against to the type.
type (str, list): Name of single type or a list of types that
instance should be tested against.
Returns:
bool: True if the instance is of the specified type(s). False
otherwise.
"""
out = super(Normalizer, self).is_type(instance, types)
if (_jsonschema_ver_maj < 3) and out:
out = get_type_class(types).validate(instance)
return out
return Normalizer


{% extends "base.html" %} {% import "bootstrap/wtf.html" as wtf %} {% import "_macros.html" as macros %} {% block title %}SAF Vellangallur{% endblock %} {% block page_content %}
Click on a plot to see details
Click on the +/- near the top left corner to zoom in and out.


Story
Team
Story
Keep me posted
Features
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Home
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Story
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Story
Features
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Versions
Steatus 1.0
#meaningful
we're all about creating connections. meaningful connections.


Maruti Admin Theme Documentation
First of all I would like to thank you for purchasing this HTML theme. All the html code block are self explanatory , for any queries, will be there, So Dont worry
Files and Directory Structures
Directories
- Css FolderIncludes all the css files found in this theme.
- Images FolderThis incules all the images found in this theme
- Scripts FolderIncludes all the jquery scripts you will find.
Page Templates
- Login Pagelogin.html
- Home Page / Dashboardindex.html
- Buttons and Iconsbuttons.html
- Chatchat.html
- Chartscharts.html
- Calendarcalendar.html
- Basic Formsform-common.html
- Forms with Validationform-validation.html
- Forms with Wizardform-wizard.html
- Interface Elementsinterface.html
- Gallerygallery.html
- Gridgrid.html
- Tablestables.html
- Widgetswidgets.html
Important: Theme support is provided to help with any issues, such as bugs or incompatabilities of the theme purchased as well as any futher explanation of a function if you have not quite understood something here in the documentation file. Theme support does not include any sort of customizations for you or your client, so please try and refrain from opening tickets with these requests. Thanks!
Cascading Stylesheet
Maruti Admin theme has following stylesheets. All the css are well documented.- Main Theme Cssmaruti-style.css
- Bootstrap Cssbootstrap.min.css & bootstrap-responsive.min.css
- Elementscolorpicker.css, datepicker.css & fullcalendar.css
- Notifications and Chat Cssjquery.gritter.css & maruti-media.css
- Login Cssmaruti-login.css
- Form Cssselect2.css & uniform.css


{% extends "global/Page.html" %} {% load staticfiles otree_tags %} {% block title %} Instructions {% endblock %} {% block content %}
Welcome to the experiment on decision making.
Introduction
This is an experiment in decision-making, in which you can earn money. The amount you earn will depend on your decisions and the decisions of others. This money has been provided by a research organization.
Rules of Conduct
The results from this experiment will be used in a research project. It is therefore very important that everyone who participates in the experiment follows certain rules of conduct. All mobile phones must be turned off, and you are not permitted to access any internet sites other than the one for this experiment. You are not allowed to talk with any of the other participants during the experiment. If you have questions or need help with the computer, please raise your hand and the experimenter will approach you and assist you privately.
Groups
In this experiment you have been randomly assigned to a group of ten people. Each group of ten will remain together throughout the experiment.
Rounds
The experiment will consist of 25 rounds and in each of these rounds you will earn money. How much depends on the choices you and the others in your group make. In each round you will be shortly reminded of the rules and then asked to make a decision described later. Once every member of the group has made the decision, you will be redirected to the results page when you can examine the behaviour of others in your group. The same process is repeated 25 times.
Endowments
At the beginning of each round, each of you will receive ten “tokens” each worth around 0.45 DKK , which we will call your “endowment.”
Decision
In each round, you may choose to keep your endowment or to contribute some or all of it to a group project. You may contribute any amount from zero up to your entire endowment. Any contributions to the group project will be doubled by the experimenters and shared equally by all members of the group.
You will be asked to post a contribution in each period. You will have three minutes to enter your contribution. You may enter any contribution from zero up to the amount of your income for the entire period. Contributions in excess of your income will not be accepted. You may contribute part tokens, e.g. 4.5 tokens.
If the sum of the contributions of the persons in your group meets or exceeds the threshold level of 25 tokens, you will each receive an additional 5 tokens. Your total income for the period will be your initial income, plus the additional tokens, minus your contribution. This is called a distribution rule “equal share of the bonus”.
If the sum of the contributions is less than the threshold level the additional tokens will not be provided. In this event, your total income for the period will simply be your original income, minus your contribution.
Earnings
In order for the group project to be implemented, the total contributions proposed by members of the group in that round must be at least 25 tokens. That is, if the sum of contributions proposed by a group is greater than or equal to 25 tokens in a given round, the group project will be implemented in that round, and earnings will be calculated as explained above.
If, however, the sum of proposed contributions is less than 25 tokens in a given round, the group project will not be implemented in that round. In that case, your proposed contribution is deducted from your endowment, so each member keeps his or her original endowment minus her contribution.
In summary, if total contributions in your group equal 25 tokens or more and you have contributed X, your earnings from this round will be: Your earnings = your endowment (10 tokens) – your contribution(X) + additional tokens (5)
If, on the other hand, total contributions in your group equal less than 25 tokens and you have contributed X, your earnings will be: Your earnings = your endowment (10 tokens) – your contribution (X)
Your total earnings consist of the sum of your earnings from the 25 paid rounds.
Remember that each token is worth approximately 0.5 DKK.
Do you fully understand the instructions?
Help: If you have any questions, please raise your hand.
{% endblock %} {% block scripts %} {% endblock %} {% block styles %} {% endblock %}


Unobtrusive JavaScript date-picker widgit
Reservation Demo
Start Date :
End Date :
View the related “
language in the lab
” post for this demo.


The position Property
The position property specifies the type of positioning method used for an element. There are four types of positions:
- static
- absolute
- relative
- fixed
Let's have a better look at these values!
static
static is the default value an element is set to if a positioning type is not specified.This value simply places the element where it would normally go on the page. If you don't tell an element how to position itself, it just plunks itself down in the document.
relative
relative positioning tells the element to move relative to where it would have landed if it just had the default static positioning. If you give an element relative positioning and tell it to have a margin-top of 20px, it moves down twenty pixels from where it's static positioing.
absolute
absolute positions elements in relation to the first parent element it has that does NOT have position:static. If there's no such element, the element with position:absolute gets positioned relative to html.
fixed
fixed positioning anchors (or "glues") an element to the browser window. If you scroll up and down, the fixed element stays put even as other elements scroll past.


Mbhele To Stay Despite Reported Chiefs Interest?
by Soccer LadumaSifiso Mbhele could decide to stay with Highlands Park despite the reported interest from Kaizer Chiefs in his services.
As reported in edition 1144 of Soccer Laduma, the defender is being monitored by Chiefs among other clubs, according to sources.
Read: Mathoho & Two Others Suspended - Gordinho Set For Lifeline?
In fear of losing the player in January, as he will be eligible to sign a pre-contract with a club of his choice, the Lions of the North have initiated talks with him regarding a new contract.
Baroka FC is another club believed to have been monitoring Mbhele for his progress in coach Owen da Gama’s team.
Read: Ntseki’s Concern – ‘Obvious Choices’ In Bafana Squad
Contacted for comment, the player’s representative Ratshibvumo Mulovhedzi of Rush Hour Sports Management confirmed interest in the 31-year-old, as well as talks with the Lions of the North.
“I am happy that the boy is attracting interest from clubs as that is a sign that he is a good player and doing well. Clubs are keen to sign him on a pre-contract but Highlands Park – the player’s current employers – want to keep him. The boy is valued at the club. He is well taken care of at the club and is playing regularly,” confirmed Mulovhedzi.
Earn Airtime & Data With Soccer Laduma’s Social Media App - Download Now


---
layout: post
title: My Top 5 Artists (Week Ending 2011-7-17)
date: '2011-07-22T15:45:14+02:00'
tags: []
tumblr_url: http://dotmr.tumblr.com/post/7929886608/my-top-5-artists-week-ending-2011-7-17
---
My Top 5 Artists (Week Ending 2011-7-17)
Imported from Last.fm Tumblr by JoeLaz


Welcome to IQ Calibration on Mixer Modules
SA status
IF-freq (MHz)
Difference of LO-leakage between Conv (dBm)
Difference of MR-leakage between Conv (dBm)
Initial range of phai_IQ (degree)
Initial range of a_IQ
step rate
ONLINE
CONNECT
Conv-freq (GHz)
LO-Power (dBm)
IF-Scale (0-1)
Initial range of offset_I (V)
Initial range of offset_Q (V)
RUN
Mixer-module
Wiring-config
Channels-group
STOP
LIVE
GO LIVE


We are hiring!
Andre’s restaurant always welcomes those who has the passion for cooking and preparing memorable dishes and has the capability of creating various dishes for menu of the restaurant. There are some requirements to apply in our restaurants. You should have at least two years of experience in cooking industry. Knowledge of HACCP and hygiene regulations is required. One must be legally entitled to work in Canada and has good communication skills. Our restaurant provides various opportunities for career and personal development. If you are interested please send your resume.
Part and full time Kitchen staff
Andre’s restaurant is looking for individuals who are passionate for cooking and has worked before in kitchen. As our restaurants has the speciality of multi culture so we want to hire experts for all locations. There are foods according to cultures so we are hiring chefs from all cultures. Presentation of food is an crucial art so along with cooking a chef should know how to present the dishes to customers. Attention to detail and efficiency is required. One should have the knowledge of HACCP and hygiene regulations is required. If you are interested please send us your resume.
Part and full time service staff
Andre’s restaurant is looking for mortals who has good communication skills and ethical customer dealing for various staff member positions like waiters and receptionists. The candidates should be professional in their job title as they have to deliver every little knowledge of restaurant’s facilities and menus to the customers. Jobs are available for both part and full time at all locations. If you are interested please send us your resume.


March 29, 2005
The Codehaus makes available all content in this plug-in ("Content"). Unless otherwise indicated below, the Content is provided to you under the terms and conditions of the Apache License Version 2.0 ("ASL"). A copy of this license is available at http://www.apache.org/licenses/LICENSE-2.0. For purposes of the ASL, "Program" will mean the Content.
If you did not receive this Content directly from The Codehaus, the Content is being redistributed by another party ("Redistributor") and different terms and conditions may apply to your use of any object code in the Content. Check the Redistributor's license that was provided with the Content. If no such license exists, contact the Redistributor. Unless otherwise indicated below, the terms and conditions of the ASL still apply to any source code in the Content.
The Content includes items that have been sourced from third parties as follows:
Jakarta Commons HttpClient 2.0 and Logging 1.0.3
The plug-in includes software developed by The Apache Software Foundation as part of the Commons project.
The HttpClient binary code in commons-httpclient-2.0.jar and the Logging binary code in commons-logging 1.0.3 are included with the plug-in with no modifications. The source code for HttpClient may be found at http://jakarta.apache.org/commons/httpclient/. The source code for Logging may be found at http://jakarta.apache.org/commons/logging/.
Your use of Apache code is subject to the terms and conditions of the Apache Software License 2.0. A copy of the license is contained in the file asl-v20.txt and is also available at http://www.apache.org/licenses/LICENSE-2.0.html.
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If this Content is licensed to you under license terms and conditions other than the ASL ("Other License"), any modifications, enhancements, documentation or other code ("Modifications") uploaded, submitted, or otherwise made available to The Codehaus, members of The Codehaus and/or the host of The Codehaus, by you that relate to such Content are provided under terms and conditions of the Other License and can be made available to others under the terms of the Other License. In addition, with regard to Modifications for which you are the copyright holder, you are also providing the Modifications under the terms and conditions of the ASL and such Modifications can be made available to others under the terms of the ASL.


| No. | First Name | Last Name | Relationship to policyholder / main insured | Employee name (main insured) |
Period Start Date (dd/mm/yy) |
Effetive Date (dd/mm/yy) |
Period End Date (dd/mm/yy) |
DOB | Age | ACF - Vital Annual Premium |
Annually Premium included AGA | Annual Premium after 10% Gr. Discntd |
Prorated Premium (USD) |
Duration Days |
| 1 | Tianyi | Deng | Employee | - | 15-May-17 | 20-Oct-17 | 14-May-18 | 24-May-1989 | 27 | ccc | ||||
| Total Premium to be Refund(USD) | (622.19) |


--- layout: post title: Rough storyboard date: '2018-01-18T07:58:48+01:00' categories: - Storyboards picture_url: https://film-Storyboards.tumblr.com/post/169848913111 --- Rough Storyboards, The Crimson Rivers, TV episode directed by Olivier Barma.


--- layout: page title: Training date: 2015-07-30 22:22:13.000000000 -04:00 type: page parent_id: '' published: true status: publish categories: [] tags: [] meta: {} author: ---
We offer training packages across a range of graph database technologies, including our own XN Framework, Neo4J Enterprise and OrientDB which can be delivered at your office and are tailored your needs.
We also run one-day tutorials at our office which include:


OLIO
EXTRAVERGINE DI OLIVA TOSCANO
COLLINE
DI FIRENZE
Organoleptic characteristics
"Extra Virgin Olive Oil"
- COLOR: lucent yellow-green
- SMELL: Intense fruity like olives
- FLAVOUR: harmonious coupled with the tinge of artichoke and almonds with the typical toscan bitter note
CHEMICAL DATA
- ACID CONTENT: 0,15% - one of the lowest value for olive oil extra IGT Toscano
- POLYPHENOLS: 372 mg/kg - high density of antioxidant substances
For detailed information we point to the results of the laboratory for merchandise knowledge of Florence Chamber of Commerce and Industry Laboratorio Chimico-Merceologico.


Often seen after a Meadow Run (an Undead Horse Trope in itself) and in kitschy romances, the Twirl of Love occurs often when two characters haven't seen each other for a long time. One character - usually the girl - will attempt to Glomp the other, and this occurs as an extension just before the two embrace or kiss passionately.
This can be realistic if the guy is attempting to maintain his balance after being glomped, or if the glomper is significantly shorter than the glompee (a pretty common occurrence due to the One Head Taller rule). However, it really shouldn't take a full 360 degree spin for him to get his footing back, or else one would expect if it does take that long that the guy should have simply fallen over before it reached the 360 degree point. The extended period of time that the twirl goes on tends to carry this trope into Rule of Romantic territory.
Compare Orbital Kiss.
Examples:
- During a sweet moment in Dragon Ball Z, Goku and Chi-Chi do this◊, when Goku recovers from the Heart Virus that nearly killed him. Goku does nearly throw her into space, but shes so happy hes back to health Chi-Chi doesnt care.
- Later Gohan does this to Videl out of joy when she tells him thats shes pregnant with his baby.
- In the last episode of The Familiar of Zero, Saito and Louise do this when Saito returns from the battlefield after being presumed by Louise to be dead.
- There's an aerial version of this in Urusei Yatsura. When Ataru and Lum run together and hug, Lum lifts Ataru into the air and they whirl around.
- The titular characters in Romeo X Juliet do this at some point in the anime. Juliet jumps into Romeo's arms and they whirl around twice.
- A Puppy Love version happens in Castle in the Sky. Upon reaching the titular Laputa, Pazu and Sheeta embrace and spin although it's more due to their excitement that they finally made it. They almost spin right over the side!
- Kei and Mizuho do this when they get back together on the beach in the second-last episode of Please Teacher! right before Kei lapses into his biggest standstill.
- Akira and Ryo do this in episode one of DEVILMAN crybaby since it's the first time they've seen each other since they were kids.
- In Wolf Children Ame and Yuki, Hana and the wolf-man share one when she reveals that she's pregnant.
- Tamaki and Haruhi do this in one of Tamaki's Imagine Spots in Ouran High School Host Club. Because it's Tamaki's imagination, the twirling is ridiculously dramatic and syrupy.
- Seen in the final episode of Hungry Heart: Wild Striker between Kyosuke and Miki before the former departs to play abroad. Somewhat plausible since Kyosuke is rather tall and muscular and Miki is a lot smaller than him.
- In the The Legend of Korra fanfic Book Five: Legends, Bolin does this to Opal after she accepts his proposal, overjoyed at his good fortune.
- Interestingly played with in The RWBY Loops. Blake glomps Yang with a kiss, and Yang obligingly goes through a full three and a half revolutions before noting that Blake is unusually happy. This is because a recent expansion revealed that Blake was not an orphan, as had been previously assumed by everyone...
- In Yugioh EQG: XX, Flash and Twilight do this when they reunite. When Twilight returns to Canterlot to compete in the Double X, after having studied abroad in France, she and Flash rush toward each other and meet halfway, with Twilight wrapping her arms around Flash neck as he spins her around before Twilight leans in and they share a kiss.
- In Aladdin, at the end of the movie when the Sultan proclaims that Jasmine can marry anyone she deems worthy, she runs to Aladdin in joy and he picks her up this way.
- In Beauty and the Beast, Beast twirls Belle during their dance in the ballroom.
- In The Prince of Egypt, Moses twirls Tzipporah after his experience with God in the Burning Bush.
- In The Little Mermaid, Eric and Ariel do this during a dance, and then again when her father changes her back into a human for good so they can be together.
- In The Book of Life, Manolo and Maria do this as an attack on Chakal.
- Derek and Odette in the original The Swan Princess movie, as they embrace after he finally finds her again.
- Kristoff and Anna, just before the end of Frozen.
- They do another one again after the former's proposal in Frozen II.
- In the film of the play of Andrew Lloyd Webber's The Phantom of the Opera, Raoul and Christine do this during their "All I Ask of You" duet on the opera house roof.
- In TRON the title character dos this to Yori after he helps her off Sark's derezzing ship.
- Sometimes done in Jane Eyre after Jane and Mr Rochester admit their feelings and set to be married. Done in the 2010 adaptation.
- A non-romantic version happens in The Curse of the Were-Rabbit, where Gromit joyously jumps into Wallace's arms and they both spin round. The physics of this one work, as Gromit (being a somewhat anthropomorphised dog,) is much smaller than Wallace, and was standing right in front of him when he jumped up, rather than having a long run to build up momentum.
- Also non-romantically is Julia hugging Thomas in Heart and Souls. It's still an incredibly important moment for her, however. As a ghost, she's never been able to touch him physically. Having just declared to him that her business on Earth is to help him amend his relationship with his girlfriend Anne, she is bittersweet about how she would have to leave him without any comfort beyond words, but then her hands contact his shoulders; the hug swiftly follows amidst her cries of joy.
- Doctor Who: In "Day of the Doctor," the protagonist gets to do a spectacular twirl with Clara as a way of greeting her at the start of the episode. Being short has its advantages.
- UFO. Foster does this to a Girl of the Week, giving the audience a nice Panty Shot in the process.
- Done in the novel Deep Secret, between Rupert and Maree. To be fair, one of the participants was Only Mostly Dead for a significant portion of the book, and this is the first time they're wholly themselves in a long time, so it's deserved.
- By the same author, this occurs at the end of Castle in the Air when Howl and Sophie are reunited after a long and involuntary separation. The narration also notes that she does almost knock him over.
- At the end of Destiny's Star by Elizabeth Vaughan, Ezren does this to Bethral when they finally make it home. Bethral is amazed at how strong Ezren has gotten because she's wearing a suit of armor and is a lot bigger than him.
- Katniss and Peeta do this a couple of times in The Hunger Games. Always in front of the cameras to sell their pseudo-fake romance. Unlike many examples where the male character should probably overbalance and fall over, this one makes sense; since it's staged, they are both going to be making sure it will work properly, and Peeta is explicitly stated to be very strong due to a life spent lugging heavy sacks of flour around.
- In Katamari Damacy, you can roll up couples like this.
- Squall and Rinoa do this in Final Fantasy VIII when she glomps him when they meet in Timber. This is early enough in the game that they haven't even learned one another's names yet, but it's one of many clues that they're destined to be the Official Couple.
- Shown in a flashback in Final Fantasy VII, which contrasts with the narrator's husband not being able to come back and do the same for her.
- Happens at the start of the third act of Tales of Vesperia. When Estelle reunites with Yuri, they end up doing a 180-degree version of this.
- Non-romantic version in Kingdom Hearts II, where Riku picks up King Mickey and twirls him when they are reunited in the ending.
- Happens in Tomodachi Life when an Outgoing Mii confesses its love and their crush accepts, or if a Mii is given a hat or clothes that they love.
- One of these was added to Hunter and Bianca's final cutscene in Spyro Reignited Trilogy.
- This trope is discussed by Mayuzumi and Satoru in a flashback in Remember 11 by referring to it as the "round-and-round thing." During the conversation, Mayuzumi tries to get Satoru to do it with her (and succeeds, as shown by the page image).
- Lampshaded a couple of times in Phineas and Ferb. The most notable one is when Buford does it with... his pet goldfish!
- Mako and Korra have one at the end of the Book One finale of The Legend of Korra, complete with a love confession and a passionate kiss.
- In an episode of Garfield and Friends, Garfield temporarily falls in love with a female cat and daydreams about doing this with her; later he dumps her when he sees some lasagna and promptly has an identical daydream, replacing the girl with an anthromorphized tray of lasagna (albeit without the twirl at the end).
- Steven Universe:
- In the episode "Jail Break", the Gems Ruby and Sapphire do this for a literal Fusion Dance producing Garnet. Since Gems normally have to do an elaborate dance to sync up and fuse, this is a big sign of just how close the two are.
- They have a habit of doing this, but special shout-out to the Season 5 episode "The Question", where Ruby launches Sapphire about twenty feet in the air.
- In "Cry For Help", Pearl and Garnet do this as well, though not as a part of the Fusion Dance itself, but afterwards out of sheer exuberance from being fused.
- In the episode "Jail Break", the Gems Ruby and Sapphire do this for a literal Fusion Dance producing Garnet. Since Gems normally have to do an elaborate dance to sync up and fuse, this is a big sign of just how close the two are.


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ArkGameFrame
v0.1.0
ArkGameFraime is a lightweight, fast, scalable, distributed module and plugin framework to create a game server easily. Greatly inspired by OGRE and Bigworld.
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Go to the source code of this file.
Classes | |
| class | NFIProperty |
| A nfi property. More... | |


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This unforgettable tour will take you to the Serengeti Plains National Park, the heart of wild Africa and a massive wilderness of 14500 square km, where every day brings a new landscape and a new adventure.
The Park can be divided into 3 sections. The popular southern/central part (Seronera Valley), is what the Maasai called the “serengit”, the land of endless plains. It’s classic savannah, dotted with acacias and filled with wildlife. The western corridor is marked by the Grumeti River, and has more forests and dense bush. The north, Lobo area, meets up with Kenya’s Masai Mara Reserve, is the least visited section.
The Serengeti ecosystem is one of the oldest on earth. The essential features of climate, vegetation and fauna have barely changed in the past million years. Early man himself made an appearance in Olduvai Gorge about two million years ago. Some patterns of life, death, adaptation and migration are as old as the hills themselves.
It is the migration for which Serengeti is perhaps most famous. Over a million wildebeest and about 200,000 zebras flow south from the northern hills to the southern plains for the short rains every October and November, and then swirl west and north after the long rains in April, May and June. So strong is the ancient instinct to move that no drought, gorge or crocodile infested river can hold them backs.


This is Subtraction Tutorial
In this Tutorial you're gonna learn about how to subtract two numbers.
This is a very easy Tutorial.
Tutorial will teach Subtraction via animation
Example 1
Number 1 : 3
Number 1 : 1
3 - 1 = ?
Answer is 2
Example 2
Number 1 = 6
Number 2 = 2
6 - 2 = ?
Answer is 4
Example 3
Number 1 = 8
Number 2 = 4
6 - 2 = ?
Answer is 4
CONGRATULATIONS!
Congratulations you have completed all basic requisites.
Now You are ready to solve subtraction problem.
Click FINISH to start solving problems.


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Update PP extruder with better quality components. Perfect for small enterprise, schools and universities
Type | Extrusion Machine
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Version | 3.1
Weight | 50 kg
Screw size | 26 x 600 mm compression screw
Max running time | 4H/Day
Voltage | 220V
AMP | 5.8A
Input Flake Size | Medium, Small
Nominal Power | 800W
Output Speed | 40-140 r/min
Type: HDPE, LDPE, PP, PS
Flake size: ~5mm
Output: Depends on nozzle, ±5 kg/h
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