EDTV (M). (Universal/UIP) Director: Ron Howard Stars: Matthew McConaughey, Jenna Elfman, Woody Harrelson, Ellen DeGeneres, Martin Landau, Sally Kellerman, Bob Reiner, Elizabeth Hurley, Clint Howard, Dennis Hopper, Viveka Davis, Adam Goldebrg, Robert Pastoriza, Harry Shearer, Jay Leno, RuPaul, Michael Moore, Gedde Watanabe Running time: 123 minutes.
A man has his life broadcast to an eager television audience, twenty-four hours a day. This premise sounds remarkably similar to last year's brilliant The Truman Show. (It is also a concept that the ABC embraced with its warts-and-all reality-based documentary series Sylvania Waters a decade ago.) Although Edtv may recall The Truman Show, it is actually based on a little known 1994 French/Canadian film entitled Louis 19: Le Roi Des Ondes (Louis 19: King Of The Airwaves). What also separates Edtv from The Truman Show is that, in this comedy, the central character is fully aware of the intrusive presence of the cameras from the start.
Cable station True TV is struggling in the ratings, even being beaten by The Gardening Channel, and the programming executives decide to beef up their image.  Video store clerk Ed Pekurney (Matthew McConaughey, from Lone Star, A Time To Kill, etc) is chosen from the audition tapes, mainly because of his down to earth charm, his sex appeal and his goof ball sense of humour. Unexpectedly, Ed becomes a sensation, and the audience for this reality based family soap opera grows. But under the unflinching scrutiny of the tv cameras, a number of skeletons start rattling out of the Pekurney family closet. Network executives are also only too willing to manufacture events in Ed's life to increase audience interest and thus further boost their ratings.
Ed finds himself initially swept away by the euphoria of his sudden popularity, until he discovers that being a celebrity carries its own baggage. This is a theme that Woody Allen explored with limited success in his recent, occasionally self indulgent Celebrity. Edtv brings irony and cutting wit to its cynical exploration of the intrusive nature of the media, and the powerfully persuasive and seductive nature of fame. This clever film also explores how the media exploits the American public's insatiable desire to know even the most salacious details of the lives of celebrities.
Edtv reunites director Ron Howard with his two favourite writers Lowell Ganz and Babaloo Mandel, who previously wrote Splash and Parenthood for him, but the creative team seem to have stumbled occasionally with their latest collaboration. Howard is usually a director with a keen gift for storytelling combined with astute commercial instincts. Those gifts seem to have deserted him a little here. Howard makes his salient points well enough, but then proceeds to bludgeon them with sledgehammer-like subtlety. Many scenes seem unnecessarily repetitive, and the film could have been tightened up considerably in the editing room. There are also a number of ideas that fall flat and lead nowhere in particular, contributing to the film's bloated look.
As usual, Howard has assembled a top notch cast, who deliver solid performances under his assured direction. McConaughey is very likeable and appealing, and he makes Ed an attractive and sympathetic character. Woody Harrelson delivers a solid performance as Ed's sleazy, narcissistic brother Ray, while Martin Landau and Sally Kellerman (from MASH, etc) lend some much needed sympathy to their roles as Ed's parents. Ellen De Generes is marvellous as Cynthia, the tv executive who develops a conscience, while tv star Jenna Elfman (Dharma And Greg) brings some depth to her role as Shari, Ed's girl friend who finds she cannot handle the pressure of living her life in the media spotlight.
Edtv has a much lighter tone than Peter Weir's similarly themed film, and it will likely appeal more to those audiences who couldn't embrace the concept behind his intelligent and imaginative vision.
*** greg king http://www.netau.com.au/gregking
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Chapter 10 Lasso and Elastic Net
10.1 Goals
- Formulate lasso and elastic net regression models
- Compare with results from
glmnet
package - Use loss functions besides squared loss with elastic net penalty
10.2 Regularized Regression
Often in applications, we encounter problems that require regularization to prevent overfitting, introduce sparsity, facilitate variable selection, or impose prior distributions on parameters. Two of the most common regularization functions are the \(l_1\)-norm and squared \(l_2\)-norm, combined in the elastic net regression model (H. Zou (2005) and Friedman, Hastie, and Tibshirani (2010)).
\[ \begin{array}{ll} \underset{\beta}{\mbox{minimize}} & \frac{1}{2m}\|y - X\beta\|_2^2 + \lambda(\frac{1-\alpha}{2}\|\beta\|_2^2 + \alpha\|\beta\|_1). \end{array} \]
Here \(\lambda \geq 0\) is the overall regularization weight and \(\alpha \in [0,1]\) controls the relative \(l_1\) versus squared \(l_2\) penalty. Thus, this model encompasses both ridge (\(\alpha = 0\)) and lasso (\(\alpha = 1\)) regression.
It is convenient to define a function that calculates just the regularization term given the variable and penalty parameters. This modular approach will allow us to easily incorporate elastic net regularization into other regression models as we will see below.
#' Define the elastic penalty
#' @param beta the arg min variable
#' @param lambda the penalization parameter
#' @param alpha the elastic net parameter, 0 = ridge, 1 = lasso
elastic_penalty <- function(beta, lambda = 0, alpha = 0) {
ridge <- (1 - alpha) / 2 * sum_squares(beta)
lasso <- alpha * cvxr_norm(beta, 1)
lambda * (lasso + ridge)
}
We generate some synthetic sparse data for this example.
## Problem data
set.seed(4321)
p <- 10
n <- 500
DENSITY <- 0.25 # Fraction of non-zero beta
beta_true <- matrix(rnorm(p), ncol = 1)
idxs <- sample.int(p, size = floor((1 - DENSITY) * p), replace = FALSE)
beta_true[idxs] <- 0
sigma <- 45
X <- matrix(rnorm(n * p, sd = 5), nrow = n, ncol = p)
eps <- matrix(rnorm(n, sd = sigma), ncol = 1)
Y <- X %*% beta_true + eps
We fit the elastic net model for several values of \(\lambda\).
TRIALS <- 10
beta_vals <- matrix(0, nrow = p, ncol = TRIALS)
lambda_vals <- 10^seq(-2, log10(50), length.out = TRIALS)
beta <- Variable(p)
loss <- sum_squares(Y - X %*% beta) / (2 * n)
## Elastic-net regression LASSO
alpha <- 1
beta_vals <- sapply(lambda_vals,
function (lambda) {
obj <- loss + elastic_penalty(beta, lambda, alpha)
prob <- Problem(Minimize(obj))
result <- solve(prob)
result$getValue(beta)
})
We can now get a table of the coefficients.
| \(\lambda = 0.010\) | \(\lambda = 0.026\) | \(\lambda = 0.066\) | \(\lambda = 0.171\) | \(\lambda = 0.441\) | \(\lambda = 1.135\) | \(\lambda = 2.924\) | \(\lambda = 7.533\) | \(\lambda = 19.408\) | \(\lambda = 50.000\) | |
|---|---|---|---|---|---|---|---|---|---|---|
| \(\beta_{1}\) | 0.891 | 0.890 | 0.888 | 0.883 | 0.869 | 0.836 | 0.747 | 0.553 | 0.037 | 0 |
| \(\beta_{2}\) | 0.040 | 0.040 | 0.041 | 0.036 | 0.035 | 0.010 | 0.003 | 0.000 | 0.000 | 0 |
| \(\beta_{3}\) | 0.301 | 0.300 | 0.300 | 0.294 | 0.283 | 0.255 | 0.181 | 0.011 | 0.000 | 0 |
| \(\beta_{4}\) | -0.579 | -0.578 | -0.577 | -0.572 | -0.560 | -0.534 | -0.455 | -0.265 | 0.000 | 0 |
| \(\beta_{5}\) | 0.386 | 0.385 | 0.385 | 0.380 | 0.370 | 0.347 | 0.280 | 0.111 | 0.000 | 0 |
| \(\beta_{6}\) | 1.539 | 1.538 | 1.535 | 1.531 | 1.518 | 1.487 | 1.401 | 1.186 | 0.627 | 0 |
| \(\beta_{7}\) | 0.181 | 0.180 | 0.180 | 0.174 | 0.163 | 0.137 | 0.067 | 0.001 | 0.000 | 0 |
| \(\beta_{8}\) | -0.135 | -0.134 | -0.134 | -0.127 | -0.114 | -0.082 | -0.015 | 0.000 | 0.000 | 0 |
| \(\beta_{9}\) | 0.939 | 0.938 | 0.936 | 0.931 | 0.917 | 0.885 | 0.791 | 0.570 | 0.026 | 0 |
| \(\beta_{10}\) | -0.329 | -0.328 | -0.328 | -0.322 | -0.312 | -0.286 | -0.213 | -0.031 | 0.000 | 0 |
We plot the coefficients against the regularization.
plot(0, 0, type = "n", main = "CVXR Regularization Path for Lasso Regression",
xlab = "Log Lambda", ylab = "Coefficients",
ylim = c(-1, 2), xlim = c(-4, 4))
matlines(log(lambda_vals), t(beta_vals))
We then compare with the glmnet
results.
model_net <- glmnet(X, Y, family = "gaussian", alpha = alpha,
lambda = lambda_vals,
standardize = FALSE,
intercept = FALSE,
thresh = 1e-8)
## Reverse order to match beta_vals
coef_net <- as.data.frame(as.matrix(coef(model_net)[-1, seq(TRIALS, 1, by = -1)]))
| \(\lambda = 0.010\) | \(\lambda = 0.026\) | \(\lambda = 0.066\) | \(\lambda = 0.171\) | \(\lambda = 0.441\) | \(\lambda = 1.135\) | \(\lambda = 2.924\) | \(\lambda = 7.533\) | \(\lambda = 19.408\) | \(\lambda = 50.000\) | |
|---|---|---|---|---|---|---|---|---|---|---|
| \(\beta_{1}\) | 0.891 | 0.890 | 0.888 | 0.883 | 0.870 | 0.836 | 0.747 | 0.553 | 0.038 | 0 |
| \(\beta_{2}\) | 0.040 | 0.040 | 0.039 | 0.036 | 0.028 | 0.009 | 0.000 | 0.000 | 0.000 | 0 |
| \(\beta_{3}\) | 0.301 | 0.300 | 0.299 | 0.294 | 0.283 | 0.254 | 0.181 | 0.000 | 0.000 | 0 |
| \(\beta_{4}\) | -0.579 | -0.578 | -0.576 | -0.572 | -0.561 | -0.533 | -0.458 | -0.265 | 0.000 | 0 |
| \(\beta_{5}\) | 0.386 | 0.385 | 0.384 | 0.380 | 0.371 | 0.347 | 0.283 | 0.114 | 0.000 | 0 |
| \(\beta_{6}\) | 1.538 | 1.538 | 1.536 | 1.531 | 1.519 | 1.487 | 1.403 | 1.186 | 0.627 | 0 |
| \(\beta_{7}\) | 0.181 | 0.180 | 0.178 | 0.174 | 0.163 | 0.136 | 0.065 | 0.000 | 0.000 | 0 |
| \(\beta_{8}\) | -0.134 | -0.134 | -0.132 | -0.127 | -0.114 | -0.082 | 0.000 | 0.000 | 0.000 | 0 |
| \(\beta_{9}\) | 0.939 | 0.938 | 0.936 | 0.931 | 0.918 | 0.885 | 0.794 | 0.570 | 0.026 | 0 |
| \(\beta_{10}\) | -0.329 | -0.328 | -0.327 | -0.322 | -0.312 | -0.284 | -0.215 | -0.030 | 0.000 | 0 |
10.2.1 Exercise
I’m attempting to match some simple results in R using glmnet
and
CVXR
. I have the following code.
library(glmnet)
data(QuickStartExample)
catn <- function(...) cat(..., "\n")
objective_value <- function(y, x, coefs, lambda, alpha) {
n <- nrow(x)
ridge <- sum(coefs^2) ; l1 <- sum(abs(coefs))
sum((y - (x %*% coefs))^2) / (2 * n) + lambda * ((1 - alpha) / 2 * ridge + alpha * l1)
}
alpha <- 0; lambda <- 1;
fit <- glmnet(x, y, intercept=F, standardize=F, lambda=1, alpha=0)
which gives me one set of coefficients and the objective function
value 2.559086
via
objective_value(y, x, coef(fit)[-1, ], lambda, alpha)
## [1] 2.559086
but this CVXR
code
beta <- Variable(20)
elastic_reg <- function(beta, lambda = 0, alpha = 0) {
ridge <- (1 - alpha) * sum(beta^2) * .5
lasso <- alpha * p_norm(beta, 1)
lambda * (lasso + ridge)
}
loss <- sum((y - x %*% beta)^2)/(2*length(y))
obj <- loss + elastic_reg(beta, lambda = 1, 0)
prob <- Problem(Minimize(obj))
result <- solve(prob)
print(result$value)
## [1] 2.172438
gives a different objective value 2.859259
and a somewhat different set of
coefficients. Can you help?
<IP_ADDRESS> Solution
To compare glmnet results to CVXR
for the Gaussian case, it is
advisable to standardize the response per the glmnet
documentation.
Note also that glmnet
uses \(n\) rather than \(n-1\) in the denominator
for \(y\). This will ensure that the \(\lambda\) is on the same scale as
shown below.
catn <- function(...) cat(..., "\n")
## Standardize the y
y_s <- local({
n <- length(y)
m <- mean(y); s <- as.numeric(sqrt(var(y) * (n - 1) / n));
result <- (y - m) / s ## scale using 1/n
attr(result, "scaled:center") <- m
attr(result, "scaled:scale") <- s
result
})
We can do a comparison on the standardized \(y\). First, the glmnet
answer:
## STANDARDIZED COMPARISON
fit_s <- glmnet(x, y_s, intercept=F, standardize=F, lambda = lambda, alpha=alpha)
catn("Glmnet objective (scaled y)",
objective_value(y_s, x, coef(fit_s)[-1], lambda, alpha))
## Glmnet objective (scaled y) 0.2504412
Next, the CVXR
answer:
elastic_reg <- function(beta, lambda = 0, alpha = 0) {
ridge <- (1 - alpha) / 2 * sum_squares(beta)
lasso <- alpha * p_norm(beta, 1)
lambda * (lasso + ridge)
}
loss <- sum_squares(y_s - x %*% beta) / (2 * nrow(x))
obj <- loss + elastic_reg(beta, lambda = lambda, alpha)
prob <- Problem(Minimize(obj))
beta_est <- solve(prob)$getValue(beta)
catn("CVXR objective (scaled y):", objective_value(y_s, x, beta_est, lambda, alpha))
## CVXR objective (scaled y): 0.2504412
To work on the non-standardized scale, we need to match the lamba
values as noted by the glmnet
authors in Appendix 2 of the package
vignette (Friedman, Hastie, and Tibshirani 2010).
## NONSTANDARDIZED COMPARISON
fit <- glmnet(x, y, intercept=F, standardize=F, lambda = lambda, alpha=alpha)
catn("Glmnet objective (unscaled y)", objective_value(y, x, coef(fit)[-1], lambda, alpha))
## Glmnet objective (unscaled y) 2.559086
loss <- sum_squares(y - x %*% beta) / (2 * nrow(x))
obj <- loss + elastic_reg(beta, lambda = lambda / attr(y_s, "scaled:scale"), alpha)
prob <- Problem(Minimize(obj))
beta_est <- solve(prob)$getValue(beta)
catn("CVXR objective (unscaled y)", objective_value(y, x, beta_est, lambda, alpha))
## CVXR objective (unscaled y) 2.558958
Finally, we can check that the coefficients are close enough.
print_matrix(round(cbind(beta_est, coef(fit)[-1]), 3),
row_names = sprintf("$\\beta_{%d}$", seq_len(20)),
col_names = c("CVXR", "GLMNET"))
| CVXR | GLMNET | |
|---|---|---|
| \(\beta_{1}\) | 1.117 | 1.117 |
| \(\beta_{2}\) | 0.070 | 0.070 |
| \(\beta_{3}\) | 0.567 | 0.567 |
| \(\beta_{4}\) | 0.007 | 0.007 |
| \(\beta_{5}\) | -0.683 | -0.683 |
| \(\beta_{6}\) | 0.537 | 0.537 |
| \(\beta_{7}\) | 0.121 | 0.121 |
| \(\beta_{8}\) | 0.302 | 0.302 |
| \(\beta_{9}\) | -0.075 | -0.075 |
| \(\beta_{10}\) | 0.054 | 0.054 |
| \(\beta_{11}\) | 0.143 | 0.143 |
| \(\beta_{12}\) | -0.073 | -0.072 |
| \(\beta_{13}\) | -0.029 | -0.029 |
| \(\beta_{14}\) | -0.932 | -0.932 |
| \(\beta_{15}\) | -0.077 | -0.077 |
| \(\beta_{16}\) | 0.019 | 0.018 |
| \(\beta_{17}\) | 0.008 | 0.008 |
| \(\beta_{18}\) | 0.009 | 0.009 |
| \(\beta_{19}\) | 0.031 | 0.031 |
| \(\beta_{20}\) | -0.784 | -0.784 |
10.2.2 Exercise
Using the data (X
, Y
) above, solve an elastic net problem with
Huber loss using the Huber
threshold \(M = 0.5\).
<IP_ADDRESS> Solution
Just set the loss as follows.
beta <- Variable(p)
loss <- sum(huber(Y - X %*% beta, M = 0.5))
## Elastic-net regression LASSO
alpha <- 1
beta_vals <- sapply(lambda_vals,
function (lambda) {
obj <- loss + elastic_penalty(beta, lambda, alpha)
prob <- Problem(Minimize(obj))
result <- solve(prob)
result$getValue(beta)
})
The estimates are below.
| \(\lambda = 0.010\) | \(\lambda = 0.026\) | \(\lambda = 0.066\) | \(\lambda = 0.171\) | \(\lambda = 0.441\) | \(\lambda = 1.135\) | \(\lambda = 2.924\) | \(\lambda = 7.533\) | \(\lambda = 19.408\) | \(\lambda = 50.000\) | |
|---|---|---|---|---|---|---|---|---|---|---|
| \(\beta_{1}\) | 0.538 | 0.538 | 0.538 | 0.538 | 0.536 | 0.534 | 0.527 | 0.497 | 0.431 | 0.149 |
| \(\beta_{2}\) | -0.371 | -0.371 | -0.371 | -0.371 | -0.370 | -0.370 | -0.369 | -0.351 | -0.351 | -0.147 |
| \(\beta_{3}\) | 0.424 | 0.424 | 0.424 | 0.424 | 0.423 | 0.422 | 0.421 | 0.433 | 0.391 | 0.195 |
| \(\beta_{4}\) | -0.874 | -0.874 | -0.874 | -0.874 | -0.873 | -0.873 | -0.871 | -0.871 | -0.798 | -0.638 |
| \(\beta_{5}\) | -0.129 | -0.129 | -0.129 | -0.129 | -0.129 | -0.129 | -0.130 | -0.128 | -0.084 | 0.000 |
| \(\beta_{6}\) | 1.233 | 1.233 | 1.233 | 1.233 | 1.233 | 1.232 | 1.230 | 1.237 | 1.155 | 0.828 |
| \(\beta_{7}\) | -0.067 | -0.067 | -0.066 | -0.066 | -0.066 | -0.064 | -0.060 | -0.023 | -0.059 | 0.000 |
| \(\beta_{8}\) | -0.590 | -0.590 | -0.590 | -0.590 | -0.589 | -0.586 | -0.580 | -0.559 | -0.494 | -0.116 |
| \(\beta_{9}\) | 1.419 | 1.419 | 1.419 | 1.418 | 1.417 | 1.414 | 1.407 | 1.377 | 1.310 | 0.987 |
| \(\beta_{10}\) | -0.266 | -0.266 | -0.266 | -0.266 | -0.266 | -0.265 | -0.265 | -0.255 | -0.225 | -0.069 |
References
Friedman, J., T. Hastie, and R. Tibshirani. 2008. “Sparse Inverse Covariance Estimation with the Graphical Lasso.” Biostatistics 9 (3): 432–41.
2010. “Regularization Paths for Generalized Linear Models via Coordinate Descent.” Journal of Statistical Software 33 (1): 1–22.H. Zou, T. Hastie. 2005. “Regularization and Variable Selection via the Elastic–Net.” Journal of the Royal Statistical Society B (Methodological) 67 (2): 301–20.


What is?
Picbit is a javascript image processing experiment. This can be used to give you some ideas on how to use the HTML 5 Canvas element to process images in real time and run basic filters.
All the processing being made is pixel oriented and I'm using RgbQuant.js for color quantization. Many thanks to leeoniya for this amazing library.
To save the generated image just
Right Click > Save Image As...
Pixel Size
Aggregation
Palette
Color Selection
1st Transformation
Drop an image here!
Combinations: | Process time: ms
Links
Some links used to create this tool. As always Wikipedia is a great starting point to learn about something that I don't have any know-how. In this particular case the topics about color difference and color quantization were very helpful.
Color Difference
- http://en.wikipedia.org/wiki/Color_difference
- http://colormine.org
- https://github.com/THEjoezack/ColorMine
- http://www.brucelindbloom.com/index.html?Eqn_DeltaE_CMC.html
- http://stackoverflow.com/questions/13586999
- http://stackoverflow.com/a/8433985
- https://github.com/markusn/color-diff


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Applications are offered as a single, cohesive package
Double click and the application will run and setup all for you
We update dependencies to keep things fresh.
Finely crafted apps


Confetch
Configur-ed/able fetch
tldr;
To get started:
npm install @akshay-nm/confetch
or
yarn add @akshay-nm/confetch
This is a wrapper over window.fetch
. Go through https://github.com/akshay-nm/confetch-example and Confetch manual for more details.
This package also has a default responseHandler
which you can use. The responseHandler
just resolves the res.json()
promise if possible, otherwise throws the errors based on statusCodes. You can pass the errors as an object.
For the bravehearts
VOLATILE PACKAGE (RAPIDLY CHANGING API so please bear with me till we reach v1.0.0) v0.x.0 to v0.y.0 means some features/methods have been deprecated v0.x.y to v0.x.z means a new feature/method has been added without changing existing ones
const { configureConfetch } = require('@akshay-nm/confetch')
const { configureStatusCodeBasedErrors } = require('@akshay-nm/confetch').handlers
// The new object is merged (it does not replace the default status codes configuration).
configureStatusCodeBasedErrors({
400: 'CUSTOM ERROR MESSAGE TO BE THROWN IF THE RESPONSE CODE IS 400',
}) // This will make sure that all requestHandlers throw error with the custom message whenever the resposne status code is 400
configureConfetch({
baseUrl: 'YOUR_BASE_URL', // this is the only parameter you NEED to pass (otherwise confetch will throw)
})
...
const { buildResponseHandler } = require('@akshay-nm/confetch').handlers
const { getUrlFromPath } = require('@akshay-nm/confetch').utils
const responseHandler1 = buildResponseHandler() // This will throw errors preconfigured message
const responseHandler2 = buildResponseHandler({ 400: 'OTHER CUSTOM MESSAGE' }) // This will throw error with 'OTHER CUSTOM MESSAGE' on 400
confetch({
url: getUrlFromPath('YOUR_PATH?YOUR_QUERY'),
... // rest of parameters for fetch
}).send().then(responseHander1).catch(console.log) // this will log the global message in case of a 400 (configured using configureStatusCodeBasedErrors)
confetch({
url: getUrlFromPath('YOUR_PATH?YOUR_QUERY'),
... // rest of parameters for fetch
}).send().then(responseHander1).catch(console.log) // this will log 'OTHER CUSTOM MESSAGE' in case of 400 (configured via buildResponseHandler)
Since the response handler just tries to convert the response into JSON, it either returns a promise or just throws the errors.
Following configuration options are supported:
baseUrl
: You can specify a base url and use thegetUrlFromPath
method to get complete urls for your requests.timeoutDuration
: This is the duration after which your requests will be aborted.headers
: This is an object (just like what you would pass to a simplefetch
call).
All the configuration parameters are merged with info object passed to a confetch
call. So you can override the default paramaters while creating configured fetch requests, if that's what you want.
The package also exposes confetch
method which basically returns an object with 3 properties:
request
send
abort
controller
signal
timeout
The ones which you should be interested in are:
send
abort
You call send
to send the configured requests and abort
to manually abort the request.
Both of them return a promise.
So this is how it would look like:
const { configureConfetch } = require('@akshay-nm/confetch')
confetchConfiguration = {
baseUrl: 'https://some.org',
timeoutDuration = 3000,
headers = {
'Content-Type': 'application/json'
}
}
configureConfetch(confetchConfiguration)
...
const { confetch } = require('@akshay-nm/confetch')
const info = {
url: getUrlFromPath(`/some-path?some=query`),
method: 'GET',
headers: {
'Some-Request-Specific-Header': 'ITS_VALUE'
}
}
// initialise, send, abort
const request = confetch(info)
request.send()
.then(res => {
/*do something with res/*
})
.catch(error => {
/*handle error*/
})
request.abort()
// fire and forget
confetch(info).send()
.then(res => {
/*do something with res/*
})
.catch(error => {
/*handle error*/
})
What's next?
- Some pre-configured fetches


Charge
@objcMembers
public final class Charge : NSObject, ChargeProtocol, IdentifiableWithString
Charge model. To charge a credit or a debit card, you create a charge object. You can retrieve and refund individual charges as well as list all charges. Charges are identified by a unique random ID.
-
Unique charge identifier.
Declaration
Swift
public let identifier: String
-
API version.
Declaration
Swift
public let apiVersion: String
-
Amount. The minimum amount is $0.50 US or equivalent in charge currency.
Declaration
Swift
public let amount: Decimal
-
Three-letter ISO currency code, in lowercase. Must be a supported currency.
Declaration
Swift
public let currency: Currency
-
Customer.
Declaration
Swift
public let customer: Customer
-
Flag indicating whether the object exists in live mode or test mode.
Declaration
Swift
public let isLiveMode: Bool
-
Defines if the card used in transaction was saved.
Declaration
Swift
public let cardSaved: Bool
-
Objects of the same type share the same value
Declaration
Swift
public let object: String
-
Charge authentication if required.
Declaration
Swift
public private(set) var authentication: Authentication?
-
Information related to the payment page redirect.
Declaration
Swift
public let redirect: TrackingURL
-
Post URL.
Declaration
Swift
public private(set) var post: TrackingURL?
-
Saved card.
Declaration
Swift
public private(set) var card: SavedCard?
-
Charge source.
Declaration
Swift
public let source: Source
-
Charge destinations.
Declaration
Swift
public private(set) var destinations: DestinationGroup?
-
Charge status.
Declaration
Swift
public let status: ChargeStatus
-
Defines if 3D secure is required for the transaction.
Declaration
Swift
public let requires3DSecure: Bool
-
Transaction details.
Declaration
Swift
public let transactionDetails: TransactionDetails
-
An arbitrary string attached to the object. Often useful for displaying to users.
Declaration
Swift
public private(set) var descriptionText: String?
-
Set of key/value pairs that you can attach to an object. It can be useful for storing additional information about the object in a structured format.
Declaration
Swift
public private(set) var metadata: Metadata?
-
Charge reference.
Declaration
Swift
public private(set) var reference: Reference?
-
Receipt settings.
Declaration
Swift
public private(set) var receiptSettings: Receipt?
-
Acquirer information.
Declaration
Swift
public private(set) var acquirer: Acquirer?
-
Charge response.
Declaration
Swift
public private(set) var response: Response?
-
Extra information about a charge. This will appear on your customer’s credit card statement. It must contain at least one letter.
Declaration
Swift
public private(set) var statementDescriptor: String?
-
Declaration
Swift
public convenience init(from decoder: Decoder) throws


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| Name | Description |
|---|---|
An Avalon container developed externally at Codehaus |
|
Keel is ready made server side infrastructure Keel incorporates multiple open source projects to provide you with a best of breed framework that works right out of the box. |
|
Jing is a Data Access Object (DAO) framework that supports Avalon components and works within Avalon containers. |
|
|
The purpose of the OpenIM project is to produce a fast, simple, and highly efficient instant messager server with high modularisation and a codebase that uses the Avalon tools and Merlin Container created by Apache's Avalon project. |
|
|
JCrontab provides a simple Java implementation of the Unix cron service. An Avalon interface is provided. |
|
|
Hibernate is a topnotch ORM tool. An Avalon wrapper has been written to faciliate using Hibernate in an Avalon Environment. |
|
A collection of Avalon components including OJB and Hibernate support, a business object API, ACL component, Messenging component and more! |
|
An Avalon component wrapper for OpenJMS |
|
Java telnet implementation |
|
Spice is a repository of Components which support Component Oriented Programming (COP) paradigms - in particular, the Inversion of Control (IoC) design pattern. |
|
Ivory provides easy integration between your exiting java classes, Avalon services, and Axis. It allows easy deployment of soap services with none of the WSDD configuration that Axis normally mandates. Simply register your class or service and wa-la, you have a new RPC SOAP service. However, it also allows Avalon services to be used with the standard WSDD configuration easily. |
| Name | Description |
|---|---|
Picocontainer is a light weight IoC framework. |
|
an MVC web framework |
|
The JBoss Aspect Oriented Programming (AOP) framework |
|
A J2EE Application Framework |
|
HiveMind is a services and configuration microkernel. HiveMind allows you to create your application using a service oriented architecture. |
|
Fractal is a modular and extensible component model that can be used with various programming languages to design, implement, deploy and reconfigure various systems and applications, from operating systems to middleware platforms and to graphical user interfaces. |
|
The Jicarilla-Framework builds upon Type-3 IoC, adding an Active interface to better support multi-threaded components. Besides some pretty generic utility code (like a set of base classes for nested exceptions), it adds basic abstractions for the building blocks of lightweight event-based systems, like sources, sinks, stages, multicasters, etc. |


| Interface and Description |
|---|
| com.arjuna.ats.arjuna.tools.osb.mbean.ActionBeanMBean
as of 5.0.5.Final In a subsequent release we will change packages names in order to
provide a better separation between public and internal classes.
|
| com.arjuna.ats.arjuna.tools.osb.mbean.ActionBeanWrapperInterface
as of 5.0.5.Final In a subsequent release we will change packages names in order to
provide a better separation between public and internal classes.
|
| com.arjuna.ats.arjuna.coordinator.HeuristicInformation
as of 5.2.2.Final In a subsequent release we will be providing this functionality via JMX MBeans
|
| com.arjuna.ats.arjuna.tools.osb.mbean.LogRecordWrapperMBean
as of 5.0.5.Final In a subsequent release we will change packages names in order to
provide a better separation between public and internal classes.
|
| com.arjuna.ats.arjuna.tools.osb.mbean.ObjStoreBrowserMBean
as of 5.0.5.Final In a subsequent release we will change packages names in order to
provide a better separation between public and internal classes.
|
| com.arjuna.ats.arjuna.tools.osb.mbean.ObjStoreItemMBean
as of 5.0.5.Final In a subsequent release we will change packages names in order to
provide a better separation between public and internal classes.
|
| com.arjuna.ats.arjuna.tools.osb.mbean.OSEntryBeanMBean
as of 5.0.5.Final In a subsequent release we will change packages names in order to
provide a better separation between public and internal classes.
|
| Class and Description |
|---|
| com.arjuna.ats.arjuna.tools.osb.mbean.ActionBean
as of 5.0.5.Final In a subsequent release we will change packages names in order to
provide a better separation between public and internal classes.
|
| com.arjuna.ats.arjuna.tools.osb.mbean.HeaderState
as of 5.0.5.Final In a subsequent release we will change packages names in order to
provide a better separation between public and internal classes.
|
| com.arjuna.ats.arjuna.tools.osb.mbean.HeaderStateReader
as of 5.0.5.Final In a subsequent release we will change packages names in order to
provide a better separation between public and internal classes.
|
| com.arjuna.ats.arjuna.tools.osb.util.JMXServer
as of 5.0.5.Final In a subsequent release we will change packages names in order to
provide a better separation between public and internal classes.
|
| com.arjuna.ats.arjuna.tools.osb.mbean.LogRecordWrapper
as of 5.0.5.Final In a subsequent release we will change packages names in order to
provide a better separation between public and internal classes.
|
| com.arjuna.ats.arjuna.tools.osb.mbean.ObjStoreBrowser
as of 5.0.5.Final In a subsequent release we will change packages names in order to
provide a better separation between public and internal classes.
|
| com.arjuna.ats.arjuna.tools.osb.mbean.OSBTypeHandler
as of 5.0.5.Final In a subsequent release we will change packages names in order to
provide a better separation between public and internal classes.
|
| com.arjuna.ats.arjuna.tools.osb.mbean.OSEntryBean
as of 5.0.5.Final In a subsequent release we will change packages names in order to
provide a better separation between public and internal classes.
|
| com.arjuna.ats.jts.recovery.RecoveryEnvironment
use JTSEnvironmentBean instead
|
| com.arjuna.ats.arjuna.tools.osb.mbean.StateManagerWrapper
as of 5.0.5.Final In a subsequent release we will change packages names in order to
provide a better separation between public and internal classes.
|
| com.arjuna.ats.arjuna.tools.osb.mbean.UidWrapper
as of 5.0.5.Final In a subsequent release we will change packages names in order to
provide a better separation between public and internal classes.
|
| Enum and Description |
|---|
| com.arjuna.ats.arjuna.tools.osb.mbean.HeuristicStatus
as of 5.0.5.Final In a subsequent release we will change packages names in order to
provide a better separation between public and internal classes.
|
| com.arjuna.ats.arjuna.tools.osb.mbean.ParticipantStatus
as of 5.0.5.Final In a subsequent release we will change packages names in order to
provide a better separation between public and internal classes.
|
| Annotation Type and Description |
|---|
| com.arjuna.ats.arjuna.tools.osb.annotation.MXBeanDescription
as of 5.0.5.Final In a subsequent release we will change packages names in order to
provide a better separation between public and internal classes.
|
| com.arjuna.ats.arjuna.tools.osb.annotation.MXBeanPropertyDescription
as of 5.0.5.Final In a subsequent release we will change packages names in order to
provide a better separation between public and internal classes.
|
Copyright © 2016 JBoss by Red Hat. All rights reserved.


UNFORGIVEN A film review by Mark R. Leeper Copyright 1992 Mark R. Leeper
Capsule review: A film to debunk most of the myths in other Western gunfighter films. Perhaps Eastwood made UNFORGIVEN as an act of contrition for glorifying violence in so many of his previous pictures. In any case, this is a very adult and intelligent Western about myth and reality. Rating: high +2 (-4 to +4).
"This is the West. When the legend becomes a fact, print the legend." Newspaper reporter in THE MAN WHO SHOT LIBERTY VALENCE
I understand that the Marlboro Man died recently. For years he represented the spirit of the Old West with a tattooed hand holding a pack of Marlboros while he sat around the campfire or rode a magnificent horse through snowy prairies. The cause of his death, in wonderful irony if not total coincidence, was lung cancer. He spent the last part of his life doing public service messages to warn people against smoking. The myth of the macho smoker and the reality were, in his case, very different. He lived off the myth, but at some point he realized the myth was dangerous and wanted people to know the reality.
I picture Clint Eastwood as having gone through a similar moral crisis. He was the Man with No Name who could kill men by reflex. He was Dirty Harry, who made his day by gunning down punks. Eastwood made his living by that image. Perhaps there are even kids in urban high schools and even junior highs who have patterned their own gun skills on Eastwood's. Perhaps that was a concern of Eastwood's; perhaps not. But he certainly has made a film about the myth and reality of gun fighting. Saul Rubinek plays a small but very central role as W. W. Beauchamp, who follows around the great gunfighters and writes dime novels that glamorize the life of the gun. He turns the dirty, disgusting, demeaning profession of killing into exciting and completely inaccurate accounts for avid readers. UNFORGIVEN is a story of gunfighting as it really was--and it was a little less romantic than killing chickens for a living. Eastwood produced and directed a powerful and nightmarish Western.
It is 1880 in the flyspeck town of Big Whiskey, Wyoming. Two cowpokes are in town taking advantage of the local whorehouse. One of the whores makes an ungenerous comment and her client goes after her with a Bowie knife. In the dark, his partner may have tried to restrain him, but the end result is a woman cut up very badly. Sheriff Little Bill Daggett (played by gene Hackman) wades in to bring peace. In his judgement, it is the owner of the whorehouse who has been wronged and must be paid off in valuable ponies. Whores, being whores, do not need to be paid back. This is not a decision which goes over well with the women.
A young gunslinger, anxious to make a name for himself (played by Jaimz Woolvett), decides he can collect if he teams up with the legendary gunfighter Bill Munny (played by Clint Eastwood). Marriage has made a very different man of Munny and now he is a widower with two children to raise, a failing pig farm, and nightmares of the men he has killed. In spite of being incredibly out of practice, he decides to go along, but only if his old partner Ned Logan (played by Morgan Freeman) will join them.
UNFORGIVEN is a dark Western. It is dark in tone and often dark in photography. It is a murky film about murky moral decisions. Nobody is totally good; nobody is totally bad. While there is not a lot to redeem to cowpoke who sets the whole fiasco in motion, there is at least a modicum of understanding of why he did what he did and the feeling that his intended punishment may outweigh his crime. I could be wrong, but it seems to me his partner was only well-intentioned and he too is pulled far too deeply into the mess that ensues. If the timing had been different, Hackman's character as a sadistic sheriff could have been inspired by Daryl Gates. He combines a laudable desire to defend justice with a dangerous desire to define it.
This film shows a surprising bitterness about the myths of the Old West. Yet where they are debunked, the film rings true. Sleeping out under the stars may be nice, but with storm clouds it is a different matter. the great gunfights of the West are about as romantic as the great gunfights of Vietnam. An obvious "happy ending" is foreshadowed and then avoided. And one nice touch of bitter irony it would be a pity to miss: the saloon and whorehouse that is the core of the hellhole town of Big Whiskey, Wyoming, is called "Greeley's."
UNFORGIVEN ranks up with THE OUTLAW JOSEY WALES as one of Eastwood's two best films. I give it a high +2 on the -4 to +4 scale.
Mark R. Leeper att!mtgzy!leeper<EMAIL_ADDRESS>.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Since a long time I wanted to use git within WSL/@WLinuxApp but lacked support to sign my commits with GPG and my @Yubico key. Today I took the idea of wsl-ssh-pageant and created a bridge between gpg within WSL and GPG4Win to sign my commits. Now I can rely on WSL even more! pic.twitter.com/VGUtWDYCIn
— Tobias Kohlbau (@tobiaskohlbau) March 13, 2019
You’re right, definitely worth a blog post. I’m terrible at writing but I will give it a try.
— Tobias Kohlbau (@tobiaskohlbau) March 14, 2019


3 references to Command
Microsoft.PowerShell.Commands.Utility (3)
commands\utility\Set-PSBreakpoint.cs (3)
171
for (int i = 0; i <
Command
.Length; i++)
178
Runspace.Debugger.SetCommandBreakpoint(
Command
[i], Action, path));
184
Runspace.Debugger.SetCommandBreakpoint(
Command
[i], Action, path: null));


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An axis object to visualize the 3 axes in a simple way.
The X axis is red. The Y axis is green. The Z axis is blue.
const axesHelper = new THREE.AxesHelper( 5 );
scene.add( axesHelper );
[example:webgl_buffergeometry_compression WebGL / buffergeometry / compression]
[example:webgl_geometry_convex WebGL / geometry / convex]
[example:webgl_loader_nrrd WebGL / loader / nrrd]
[page:Number size] -- (optional) size of the lines representing the axes. Default is `1`.
See the base [page:LineSegments] class for common properties.
See the base [page:LineSegments] class for common methods.
Sets the axes colors to [page:Color xAxisColor], [page:Color yAxisColor], [page:Color zAxisColor].
Frees the GPU-related resources allocated by this instance. Call this method whenever this instance is no longer used in your app.
[link:https://github.com/mrdoob/three.js/blob/master/src/[path].js src/[path].js]


Choose file format to export to
Choose a JSON or YAML file to import
Select a File
Error: {{ importError }}
Export as YAML Export as JSON


Jawbreaker (1999)
Tri-Star; rated R (language, sexual situations, violence); 87 minutes
Director and Writer: Darren Stein
Cast: Rose McGowan, Rebecca Gayheart, Judy Greer, Julie Benz, Chad Christ, Ethan Erickson, Carol Kane, Pam Grier, Tatyana M. Ali.
Review By: Geoff Berkshire
Star Rating: *1/2 (out of ****)
Jawbreaker is the very definition of a "rip-off." This uninspired teen comedy takes equal parts Carrie (1976), Heathers (1989) and Clueless (1995) and mixes in all the necessary teen movie clichés. Along the way writer/director Darren Stein forgets to give the film a life of its own.
The film opens with a voice over from geeky Fern Mayo (Judy Greer) about the four most popular girls at Reagan High: Courtney Shayne (Rose McGowan) who can basically be summed up as Satan in heels, Julie Freeman (Rebecca Gayheart) a good girl with the face of a supermodel, Marcie Fox (Julie Benz) a dim-witted blonde who demands that people call her "Foxy", and Liz Purr (Charlotte Roldan) an angel in disguise. Liz is everyone's favorite because she's both beautiful and kind.
Liz is about to turn 17 and, as a prank, Courtney convinces the other girls to help her in kidnapping Liz on her birthday morning. In order to keep Liz from making any noise Courtney stuffs a jawbreaker into her mouth before they gag her. They then stuff Liz in the trunk of Courtney's car but when they open it later, Polaroid camera waiting to capture the moment, their lives will never be the same: poor Liz has swallowed the jawbreaker and choked to death with it lodged in her throat (the audience is treated to a few too many graphic looks at Liz's dead body).
Courtney, thinking fast, decides to pass the death off as a rape/murder and Marcie and a reluctant Julie assist her. Things get complicated when Fern discovers what the three girls are up to. In order to keep her quiet Courtney comes up with another plan and transforms geeky Fern into "Vylette", hoping that she will also help to replace Liz in the minds of the devastated students.
Up until about this point the film is effective enough. However, an investigation begins into Liz's death and the film becomes excessively dull. The recently rediscovered talents of Pam Grier are thoroughly wasted in the role of Detective Vera Cruz and the film is downright insipid in its treatment of both the characters and the audience during this long middle stretch. Courtney's plan to frame a sleazy guy (Marilyn Manson, in a brief cameo) is never believable for a second.
Meanwhile, the audience is stuck watching a string of random events which fail to develop the characters or add anything of interest to the plot. Julie leaves the group and begins a lame romance with aspiring actor Zack (Chad Christ). He apparently gives her the courage to turn on Courtney but the way things develop only make Julie look stupid. Fern's rise to popularity is equally lame.
We do get the best scene in the film (the only one with a spark of originality) during this section. It's a smart and subversive bit where Courtney gets the high school's resident jock stud Dane (Ethan Erickson) to demonstrate, using a popsicle, exactly what he would like for her to do to him. It at least provides us with a look at Courtney's personality but the way the scene finishes doesn't make any sense.
Stein is very conscious of the teen movie tradition he is working in and not only freely borrows major plot elements but also includes direct acknowledgment of this with some stunt casting. William Katt and P.J. Soles (students in Carrie) are Liz's distraught parents, Jeff Conaway (from Grease (1978)) is Julie's creepy single dad and Carol Kane (the frightened babysitter in When a Stranger Calls (1979)) camps it up as principal Miss Sherman.
At times Jawbreaker feels simply like Teen Cinema's Greatest Hits but the audience is cheated with watered down interpretations of the best this genre has to offer.
The only notable aspect of Jawbreaker is the incredibly stylish look. The costume design by Vickie Brinkford and the production design by Jerry Fleming are both bright and vivid. They were apparently instructed to work from the color palette of a jawbreaker and the screen is always splashed with bits of vibrant color. Director of photography Amy Vicent, who beautifully lensed Eve's Bayou (1997), does a remarkable job here as well. Shot composition and camera movement is consistently impressive.
Performances are mostly sub-par with McGowan providing only a few good moments (compared with her excellent work in The Doom Generation (1995) and Scream (1996)) and Gayheart making the biggest impression due to the sweet nature of her character and her obvious beauty. None of the actors look as if they have set foot inside a high school within the last five years with the exception of actress/singer Tatyana Ali, who has a small role as a cheerleader. The male cast all resemble male models and are credited with names like "Auto Stud," "College Stud," and "High School Stud #2."
The soundtrack is decent and Imperial Teen's catchy "Yoo Hoo" makes a bigger impression than any other aspect of the film.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


I would describe this website as organized, clean, simple, and tailored. This site helps solve the problem of choosing which news story to read and getting news content that is tailored to you. It saves time because instead of searching several different websites you automatically get the content you want to read in one place.
It's easy to browse content in this site. Every link or news story you click will open in a new tab. I think this is much easier than having it load in the same window and then having to click the back button in your browser to get back to Google News.
Quora
Quora is a great website because not only because the content is great but because it has great design. The content and features are very intuitive to use and it has a clean, uncluttered interface. When I first log into Quora I'm drawn into the top stories in my newsfeed. Quora displays these based on how popular they are and whether it is a topic I'm following. The website allows users to get the best, most useful answera to any question they might have. What Quora does is allow users to post questions and view the answers ranked by the number of upvotes, or likes, it received. This simple concept results in readers getting great Q&A insights and not wasting time reading bad answers.
Another reason why I think Quora is great is the community. Some of the smartest and most prominent leaders in Government and Business take time to contribute their knowledge in Quora. In most cases the person who answers the question reveals their full name, which results in better more well-thought answers since their reputation is influenced by what they write. It's sort of almost like a competition for who can give the best answers. The website captures my attention and sometimes hours can go by while I just read questions and answers that capture my attention.
Amazon
I also added Amazon on my list of favorite websites because of how useful it is to me, and how often I use it. I will say that at times it can seem cluttered as a result of the site trying to display as many products as possible at one time. When I first arrive at the website the first thing I usually do is I search for the product I'm looking for in the search box. After the search I'm presented with products that are a combination of best selling and best reviewed. It is very easy to find the best product available for what I'm looking for.
Another great feature of the website is the review system, which is based on a 5 star rating scale. Using the review score and reading some of the reviews, I believe I am making the best buy decision I can possibly make, even moreso than going to a store and talking with a salesperson, who don't always have my best interest in mind.
On Amazon there are a lot of cool features and options I can use. Just a few of my favorite are: sorting reviews based on score or date; customizing color or other features of a product; getting shipping estimates for various shipping options. Also, on a given page for a product Amazon displays related products or competing products, so you can easily navigate to another product and compare the differences between the products before making a decision to purchase.
I use Amazon quite often and find it especially easy to make purchase for those miscellaneous items that I might not find at a grocery or clothing store.


KXNG Crooked Is Back With "Yu Vs. Yu"
KXNG Crooked is back with more heat.
by Aron A.Yu Vs. Yu
KXNG CROOKED
Editor Rating: VERY HOTTTTT
User Rating: hottttt - 75% (17)
Each week, KXNG Crooked is one person that you can undoubtedly can on for new music. He brought back his fan favorite series, Hip Hop Weeklys, at the beginning of the year. He hasn't missed a bar or a week yet and he's constantly making sure the fans get some new music each week. The state of the rap game right now relies heavily on melodies but that doesn't mean that bars have gone away. He's dishing 'em out at a rapid pace on top of familiar samples. This week, he pays homage to another California legend, Xzibit on "Yu Vs. Yu" which opens up with an excerpt from a recent interview with X. As Crook samples Xzibit’s “What U See Is What U Get," he goes off on the mic.
Peep the song below.


F-Droid Downloads - Android 2.4 or later
|
Remember to 'Check' the Option: "Settings / Applications / Unknown sources" on your device.
F-Droid production release
Kwik EFIS v3.2
    (main application, stable, signed by F-Droid)
|
EFIS digital terrain data packs - Required for Synthetic Vision
DataPac (zar.aus) - Southern Africa/Australia v1.2
        (data pac, stable, signed by F-Droid)
DataPac (usa.can) - United States/Canada v1.2
        (data pac, stable, signed by F-Droid)
DataPac (eur.rus) - Europe/Russia v1.0
        (data pac, stable, signed by F-Droid)

|
|
Current Release Candidates
|
EFIS releases
Latest Release Candidate v3.2
        (main application, unsigned)
DataPac (zar.aus) - Southern Africa/Australia v1.2
        (data pac, stable, unsigned)
DataPac (usa.can) - United States/Canada v1.2
        (data pac, stable, unsigned)
DataPac (eur.rus) - Europe/Russia v1.0
        (data pac, stable, unsigned)
|
|
Changes
|
|
|


Find BIXI stations, faster!
Welcome to nixi.ca, an alternative web interface for the BIXI bike share system.
Hint: You can choose your preferred city with the selector in the top right corner.
Where
From
To


AN ADDITIVE APPROACH TO THE DESIGN OF
URBAN PATHS AND SDGES
BY DAVID CYLKOWSKT B,A., Brandeis University
1970
SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FCR THE DEGREE OF MASTER OF ARCHITECTURE at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY | June, 1975
wy
Signature of Avthor. or Lee eRe mye eee ee . Department of Architecture, (Date) ~~, :
Vo,
Certified by, e . ane weve ores gree ¢ 6 @ . oe Thesig Supervisor
Accepted bY, pete eee ee ee ee ele ees Rotch Chairman, Departmental Conmittee


- updateAll() - Method in class Game_Structure.Barn
-
Update Energy, stats , barn status and inventory after any action or change performed in Barn Panel
- updateAll() - Method in class Game_Structure.Farm
-
Update Energy, stats , barn status and inventory after any action or change performed in Barn Panel
- updateAll() - Method in class Game_Structure.TurningDay
-
- updateAllCrop() - Method in class Game_Structure.Farm
-
updateAllCrop label and icon of all 4 crop plot at once
- UpdateBarn() - Method in class Game_Structure.Barn
-
UpdateBarn check the quantity of animal and display icon in barn (to show/remove existence of animal)
Display healthiness and happiness of Animal
- updateCrop(JLabel, JLabel, Crop_Plot) - Method in class Game_Structure.Farm
-
updateCrop update icon, status in the number of crop plot
- UpdateEnergy() - Method in class Game_Structure.Base_Component
-
UpdateEnergy Update energy status to energy bar and energy value, display energy icon
- updateHarvest(String) - Method in class Game_Structure.Farm
-
updateharvest Update inventory base on type of harvested crop
- UpdateInventory() - Method in class Game_Structure.Inventory
-
updateInventory set label with default quantity and link to specific item_quantity
- updatePlotHarvest(Crop_Plot) - Method in class Game_Structure.Farm
-
updatePlotHarvest update all of the status of selected crop plot after harvesting
- updatePlotSeeding(Crop_Plot, String, int) - Method in class Game_Structure.Farm
-
updatePlotSeeding set status of crop plot base on selected seeded crop
- updateSeed(String) - Method in class Game_Structure.Farm
-
updateSeed Update inventory of seed quantity
- UpdateStats() - Method in class Game_Structure.Base_Component
-
UpdateStats Update day num, gold in stats in the Stats label


--- layout: post title: Rails 3 progression published: true date: 2010-09-01 categories: [] posterous_url: http://blog.hungerandthirstdesign.com/post/1047827560/rails-3-progression posterous_slug: post/1047827560/rails-3-progression ---
Check it out!! Converted this site to Rails 3 beta 3. Very cool. Way to go Rails team. Keep up the work.
UPDATE: Apparently Heroku does not actually allow beta 3 yet. I think it require Ruby 1.9.2 which is still in pre-release state. So close…


--- layout: default title: Headers number: 2 ---
Let's take a look at another formatting convention: the header. Headers are frequently used on websites, magazine articles, and notices, to draw attention to a section. As their name implies, they act like titles or subtitles above sections.
There are six types of headers, in decreasing sizes:
To make headers in Markdown, you preface the phrase with a hash mark (#
). You
place the same number of hash marks as the size of the header you want. For example,
for a header one, you'd use one hash mark (# Header One
), while for
a header three, you'd use three (### Header Three
).
For this next lesson, make each header the right size.
All right!
It's up to you to decide when it's appropriate to use which header. In general, headers one and six should be used sparingly.
You can't really make a header bold, but you can italicize certain words. In the box below, make the first line a heading level four, and italicize the name of the book:


---
layout: post
title: ToxoDB 37 Released
category: [ToxoDB]
---
We are pleased to announce the release of ToxoDB 37
New Data in ToxoDB 37
Proteomics
Mitochondrial Matrix Quantitative Proteome —
Toxoplasma mitochondrial matrix proteome determined using two independent, biotin-labelling approaches: ascorbate peroxidase (APEX) approach and the BirA*/BioID approach.
This data was provided pre-publication by Giel van Dooren, Australian National University.
Mitochondrial Matrix Proteome —
Toxoplasma mitochondrial matrix proteome determined using two independent, biotin-labelling approaches: ascorbate peroxidase (APEX) approach and the BirA*/BioID approach. Peptides are aligned to T gondii ME49.
This data was provided pre-publication by Giel van Dooren, Australian National University.
Toxoplasma gondii RH N-terminal peptides from the Soldati-Favre lab, University of Zurich.
Dogga et al. —
Announcing the Beta release of EuPathDB Workspace, a private workspace that can interface
with EuPathDB Galaxy and allows for viewing and interrogating private data against data that is already
integrated into EuPathDB (public data). The first EuPathDB workspace tool, 'Bigwig files to EuPathDB'
exports bigwig files from EuPathDB Galaxy to EuPathDB.
The tool creates a EuPathDB Data Set which is managed from the My Data Sets page along with your other private data sets.
Each data set also receives a record page which lists all files that the data set contains, offers file management
functions and ports files to the genome browser for viewing.
Semantic zooming of Pathway drawings on Pathway record pages - At low zoom levels, pathway nodes appear as
glyphs. At mid zoom levels, the main compound nodes appear as molecular formulas. At high zoom levels, enzymes and
side nodes appear as formulas, terms or Enzyme commission numbers. Clicking on a node will retrieve details about the
node, regardless of zoom level.


Assessment Time!
Staff is coming to assess you! Use your Ruby Gems to show your skills!
Controls: MOVE with left and right arrows, FIRE Ruby Gems by holding spacebar
Tip: Smaller assessments are worth more points. As you accumulate points you will move through levels and the game will get harder!
| Level |
Time |
Assessments Conquered |
Score |
|
|
|
|


THROW MOMMA FROM THE TRAIN A film review by Sharon Badian Copyright 1987 Sharon Badian
It appears that here is a movie that is either embraced and loved or condemned and despised. There is no in-between. The critics have loved it. And most people I have talked to have despised it. Someone posted a review here saying how much he hated it. Two women in the theater restroom after the movie couldn't say enough bad things about it.
It would be silly of me to recommend a movie that generates such varying responses. I liked it a lot and my husband liked it even more. But it is a strange movie, I have to admit that. It's funny, but not like BEVERLY HILLS COP so there isn't mass appeal.    Strange things start happening and Larry gets caught up in a plot that totally throws him off balance. The story is about Larry, and the direction helps to throw the audience off balance the way that Larry is thrown off balance. There are interesting segues that confuse. You don't know where you are sometimes or how you got there, or how you'll get out.
There are funny lines scattered throughout the film, but you can't depend on these for the laughs. You have to be able to laugh at the absurdity of the whole situation, and the lunacy of the characters (particularly Owen who is really off-the-wall). Anne Ramsey (as Momma) is totally despicable and hilarious.
I can't universally recommend this film because it depends too much on personal taste. This movie doesn't have mass appeal in my mind because it is so strange. But I liked it all the same.
Sharon Badian ihnp4!hoqax!qaseb
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


My posts with some #useful-resources.
Great posts | academic
Bioinformatics
- Microbial Bioinformatics Starter Kit by Lauren Cowley
- Microbial genome annotation by Michael Eisen
- Tools for bacterial comparative genomes by Holt lab
R
- Git, GitHub and R
- R resources by Paul Vanderlaken
- Related post: R Tips and Tricks


All Classes
BufferedImageReader
DefaultImage
Direction
GameView
GameWindow
GameWindowFactory
GameWindowLevel1
GameWindowLevel2
GameWindowModel
ImageReader
Iso
Isoator
PaintController
Point
Runner
Sprite
SpriteFactory


Full-stack Developer. Product Builder. Life-hacker. Google Enthusiast.
100% Japanese capital company. Utilizing dedicated market research panels in Vietnam, Thailand, and Indonesia, together with Research expertise in South East Asia, to provide the best service to support clients through challenges of research planning, fieldwork, analysis, translation, reporting.
General Manager, W&S Group
CTO, W&S Group


PLAGUE-SECURITY
You can take any Linux and install pentesting tools on it, but you have to set the tools up manually and configure them. Plague-Sec is optimized to reduce the amount of work, so a professional can just sit down and go.
With Plague-Security's compatability with different platforms and with also because it's open sources it's easy to modify. You can customize the operating system the way you want and it's a good thing!
Whether you are a seasoned veteran or a novice, our documentation will have all the information you will need to know about Plague Security. Multiple tips and “recipes” are available, to help ease doubts or address any issues.
Developers in Plague Security are proffesional software engineers, the code is also being reviewed daily. Although bugs and issues will not be avoided it is for certain that these uncertainties will be fixed as soon as possible.
Plague-Security doesn't have much members in it so it doesn't have much support yet on the community as a free and open source operating system. We are associated with Neutron Nation, a group made by Waren Gonzaga.
All the hacking tools you need from enumeration tools to post exploitation, so you don't have to manually install any hacking tools. Just learn to use these tools and you'll be a good hacker in no time!
We are open source devs, our community is a variety of people. Which includes pentesters, software engineers, business
entreprenaurs or even gamers. Everyone is welcome in PlagueSec and Neutron Nation!
Our Github Page is open for any contributions, feel free to check out github and please help support us to grow as a community for
penetration testers.
We are open source devs, our community is a variety of people. Which includes pentesters, software engineers, business
entreprenaurs or even gamers. Everyone is welcome in PlagueSec and Neutron Nation!
Our Github Page is open for any contributions, feel free to check out github and please help support us to grow as a community for
penetration testers.


This is a simple example for React-Dropzone. To enable support for uploads, make sure to run this example by running
grunt


{% setvar book_path %}/reference/kotlin/androidx/_book.yaml{% endsetvar %} {% include "_shared/_reference-head-tags.html" %}
Page in same library, Page in different library, Page on DAC


The deck.js backend for Asciidoctor (based on Haml) has been graduated to its own repository.
https://github.com/asciidoctor/asciidoctor-deck.js
Please clone this repository individually to use it.


Merger Arbitrage Mondays - Novartis Confirms Acquisition Of The Medicines Company
by Asif SuriaSummary
- Merger activity decreased with three new deals announced.
- The acquisition of Tiffany & Co. by LVMH Moët Hennessy Louis Vuitton SE.
- Anixter and CD&R agreed to an amendment to the merger agreement.
Merger activity decreased, with three new deals announced and five deals closing.
Deal Statistics:
| Total Number of Deals Closed in 2019 | 175 |
| Total Number of Deals Not Completed in 2019 | 9 |
| Total Number of Pending Deals | |
| Cash Deals | 43 |
| Stock Deals | 19 |
| Stock & Cash Deals | 6 |
| Special Conditions | 5 |
| Total Number of Pending Deals | 73 |
| Aggregate Deal Consideration | $1.28 trillion |
New Deals:
- The acquisition of Carolina Financial Corporation (NASDAQ:CARO) by United Bankshares (NASDAQ:UBSI) for $1.1 billion in an all-stock deal. Under the terms of the agreement, United will acquire 100% of the outstanding shares of Carolina Financial in exchange for 1.13 of United’s shares.
- The acquisition of The Medicines Company (NASDAQ:MDCO) by Novartis AG (NYSE:NVS) for $9.7 billion, or $85.00 per share in cash. We added MDCO as a potential deal to the Deals in the Works section on November 19, 2019, and the price after the news of the potential deal came out was $70.21.
- The acquisition of Tiffany & Co. (NYSE:TIF) by LVMH Moët Hennessy Louis Vuitton SE (OTCPK:LVMUY) for $16.2 billion, or $135.00 per share in cash. We added TIF as a potential deal to the Deals in the Works section on October 28, 2019, and the price after the news of the potential deal came out was $129.72.
Deal Updates:
- On November 18, 2019, Carrizo Oil & Gas (NASDAQ:CRZO) and Callon Petroleum Company (NYSE:CPE) announced that the Carrizo special meeting is scheduled to be reconvened to consider and vote on matters relating to the merger agreement on December 20, 2019. According to Reuters, hedge fund Paulson & Co., a top shareholder in Callon Petroleum, said that it would not oppose the company’s reduced buyout offer for Carrizo Oil & Gas, while cutting its stake in the company.
- On November 19, 2019, BB&T Corporation (NYSE:BBT) and SunTrust Banks (NYSE:STI) announced the receipt of regulatory approvals from the Board of Governors of the Federal Reserve System and the Federal Deposit Insurance Corporation to complete the previously announced merger of equals and become Truist Financial Corporation. BB&T and SunTrust expect to complete the merger on December 6, 2019.
- On November 20, 2019, Milacron Holdings (NYSE:MCRN) announced that its stockholders voted to adopt the Agreement and Plan of Merger with Hillenbrand (NYSE:HI) and Bengal Delaware Holding Corporation. Milacron and Hillenbrand anticipate that the transaction will close on November 21, 2019.
- On November 22, 2019, Anixter International (NYSE:AXE) announced that Anixter and CD&R agreed to an amendment to the Merger Agreement to increase the consideration payable to Anixter’s shareholders to $82.50 per share in cash from $81.00 per share in cash.
- On November 22, 2019, Roche (OTCQX:RHHBY) has again extended the deadline for its tender offer for Spark Therapeutics (NASDAQ:ONCE), saying U.S. and British anti-trust authorities needed more time to review the deal. The offer, which was originally due to expire on November 25, has now been extended to December 10.
Closed Deals:
- The acquisition of Gannett (NYSE:GCI) by New Media Investment Group (NYSE:NEWM) on November 19, 2019. It took 106 days for this deal to be completed.
- The acquisition of Celgene Corporation (NASDAQ:CELG) by Bristol-Myers Squibb Company (NYSE:BMY) on November 20, 2019. It took 321 days for this deal to be completed.
- The acquisition of Milacron Holdings by Hillenbrand on November 21, 2019. It took 132 days for this deal to be completed.
- The acquisition of Avedro (NASDAQ:AVDR) by Glaukos Corporation (NYSE:GKOS) on November 21, 2019. It took 105 days for this deal to be completed.
- The acquisition of Old Line Bancshares (NASDAQ:OLBK) by WesBanco (NASDAQ:WSBC) on November 22, 2019. It took 122 days for this deal to be completed.
Top 10 deals with largest spreads:
| Symbol | Announced Date | Acquiring Company | Closing Price | Last Price | Closing Date | Profit | Annualized Profit |
|---|---|---|---|---|---|---|---|
| PACB | 11/01/2018 | Illumina, Inc. (NASDAQ:ILMN) | $8.00 | $5.17 | 03/31/2020 | 54.74% | 157.32% |
| S | 04/29/2018 | T-Mobile US, Inc. (NASDAQ:TMUS) | $8.06 | $5.74 | 01/31/2020 | 40.42% | 220.21% |
| GNW | 10/23/2016 | China Oceanwide Holdings Group Co., Ltd. (N/A) | $5.43 | $4.06 | 12/31/2019 | 33.74% | 342.13% |
| MDCO | 11/24/2019 | Novartis AG | $85.00 | $68.55 | 03/31/2020 | 24.00% | 68.97% |
| ABDC | 08/13/2019 | Crescent Capital BDC, Inc. (N/A) | $11.02 | $9.06 | 12/31/2019 | 21.63% | 219.34% |
| OHAI | 08/01/2019 | Portman Ridge Finance Corporation (NASDAQ:PTMN) | $1.46 | $1.28 | 12/31/2019 | 14.06% | 142.58% |
| MLNX | 03/11/2019 | Nvidia Corporation (NASDAQ:NVDA) | $125.00 | $114.5 | 03/31/2020 | 9.17% | 26.36% |
| TIF | 11/25/2019 | LVMH Moët Hennessy Louis Vuitton SE | $135.00 | $125.51 | 06/30/2020 | 7.56% | 12.66% |
| FIT | 11/01/2019 | Google LLC (N/A) | $7.35 | $6.86 | 06/30/2020 | 7.14% | 11.96% |
| AGN | 06/25/2019 | AbbVie Inc. (NYSE:ABBV) | $194.82 | $183.79 | 03/31/2020 | 6.00% | 17.25% |
Disclaimer: I hold long positions in Sprint (S), Mellanox Technologies (MLNX), Pacific Biosciences of California (PACB) and Bristol-Myers Squibb (BMY). Please do your own due diligence before buying or selling any securities mentioned in this article. We do not warrant the completeness or accuracy of the content or data provided in this article.
Disclosure: I am/we are long S, MLNX, PACB, BMY. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it. I have no business relationship with any company whose stock is mentioned in this article.


Data Customer
Customer Baru
Fullname
Email
Mobile Phone
Gender
Education
Birthdate
1,001
Lorem
ipsum
dolor
sit
sit
edit
delete
info
«
1
(current)


LM Note Generator For ESPN Fantasy Football
Current Week:
Database Management -
Loading...
Last Updated:
Delete DB
Update
Generate League History Content
Leader Board
Record Book
Weekly Power Rankings -
Generate Weekly Ranking


---
title: "Arc."
lister_class: "arc"
body_class: "arc projects"
description: "A challenge by the Innovation Group at Al Jazeera to create an innovative nonlinear storytelling application. In response, I created Arc."
platform: "iPhone"
role: "Lead Product Designer"
date: "2012-04-02"
indexLayout: "index_list_float_right"
index_thumb: ["sr_direction_left sr_delay_100 secondary_thumb","sr_direction_right main_thumb", "sr_direction_down dots"]
p_role_content : "I called upon three friends and formed a team which consisted of a software engineer, copywriter, and project manager. I lead the project and designed what came to be known as Arc. We worked on this project over weekends and spent about seven days in total drafting the idea and prototypes. We won the second prize."
p_main_thumb : ["1", "2", "dots"]
p_main_footer : "Mosaic"
---
{{< p_title numb="01" title="What is Arc?" desc="Arc is built on the principle that each story should have additional perspectives from the humans involved in the main narrative. It utilizes nonlinear storytelling to interweave these perspectives and create an insightful, inclusive and well-rounded narrative. Additional analysis can be found in our
Keynote presentation." >}}
{{< p_grid tag1="Staging" tag2="Story Architicture" tag3="Arc Framework" groupclass="grid_arc_preso">}}
{{< p_title numb="02" title="Home to Story" desc="Using the mobile app, users can search, share or bookmark stories. They can also customize the reading style and maintain a profile to save these preferences across other platforms." >}}
{{< p_grid tag1="Story Feed" tag2="Story Feed, Condensed" tag3="Main Navigation" tag4="Profile Page" groupclass="grid_arc_home">}}
{{< p_title numb="03" title="Stories" desc="Arc's modular approach weaves the human perspectives into the main narrative in a single cohesive story. The individual human stories are color coded for clarity and discussion/comments are always encouraged." >}}
{{< p_grid tag1="Top Secton" tag2="Reading Control Center" tag3="Story Navigator" tag4="Compass Cards" groupclass="grid_arc_stories">}}
{{< p_grid tag1="Pull-quote" tag2="Human #1" tag3="Human #2" tag4="Discussions" groupclass="grid_arc_stories_cont">}}
{{< p_title numb="04" title="API Integrations" desc="The Arc. framework allows writers to seamlessly integrate dynamic content from other mediums, enriching the stories with interactive and engaging tidbits like videos, photo galleries, maps, etc." >}}
{{< p_grid tag1="Youtube" tag2="Soundcloud" tag3="Twitter" tag4="Mapbox" groupclass="grid_arc_stories_widgets">}}
Conclusion
It was gratifying to execute on a time-sensitive project on the side and still manage to take it through my design process, from research/discovery all the way to iterating/prototyping. In the end, winning the hackathon was an inspiring validation of the idea, but we recognize that it needs a lot more polish and thinking.
Learnings
It's essential to accurately assess a side project and understand the amount of work it takes. From ideation to conception we found it challenging to allocate sufficient time, considering all of our prior engagements. A heartfelt thanks to Hari Ananth, Lauren Willey and Justin Megahan for all their support.


vignettes/instructions_and_plotting.Rmd
instructions_and_plotting.Rmd
Each Giotto function that creates a plot as 3 important parameters:
- show_plot: to print the plot to the console, default is TRUE
- return_plot: to return the plot as an object, default is TRUE
- save_plot: to automatically save the plot, default is FALSE
These parameters are automatically provided by createGiottoObject, but can also be explicitely provided using createGiottoInstructions or a named list, which can then be given to createGiottoObject as a parameter.
Besides those 3 parameters createGiottoInstructions also allows to provide other general Giotto parameters, such as your python path and other information for automatically saving a plot, like size, plotting format, etc.
In total there are 4 functions to work with setting instructions:
- createGiottoInstructions: creates instructions that can be provided to createGiottoObject
- showGiottoInstructions: to view the instructions of a Giotto object
- changeGiottoInstructions: to replace 1 or more of the instruction parameters (e.g. plotting format)
- replaceGiottoInstructions: to replace all instructions with new instructions (e.g after subsetting)
In addition, for each plot the parameters can always be manually overwritten within the plotting function itself.
Here we use the osmFISH as an example:
We also specify some other plotting parameters for the automatic saving functionality, such as the save_dir whose default is the current working directory.
library(Giotto)
# create instructions for your python path, how to view your plots and
# parameters to save your plot if wanted
my_python_path = "/your/python/path/"
results_folder = '/path/to/your/results/'
instrs = createGiottoInstructions(python_path = my_python_path,
show_plot = FALSE,
return_plot = TRUE,
save_plot = TRUE,
save_dir = results_folder,
plot_format = 'png',
dpi = 200,
height = 9,
width = 9)
## PREPARE osmFISH DATA ####
data_dir = '/directory/for/osmFISH_data/'
osm_exprs = read.table(file = paste0(data_dir,'/','osmFISH_prep_expression.txt'))
osm_locs = read.table(file = paste0(data_dir,'/','osmFISH_prep_cell_coordinates.txt'))
osm_locs = osm_locs[rownames(osm_locs) %in% colnames(osm_exprs),]
## CREATE GIOTTO OBJECT with expression data, location data and instructions
osm_test <- createGiottoObject(raw_exprs = osm_exprs,
spatial_locs = osm_locs,
instructions = instrs)
## add provided annotation and filter + normalize
metadata = fread(file = paste0(data_dir,'/','osmFISH_prep_cell_metadata.txt'))
osm_test = addCellMetadata(osm_test, new_metadata = metadata,
by_column = T, column_cell_ID = 'CellID')
osm_test <- filterGiotto(gobject = osm_test)
osm_test <- normalizeGiotto(gobject = osm_test)
Here we will show a couple of ways to save plots.
# 1. default instructions from Giotto object
spatPlot(gobject = osm_test, cell_color = 'ClusterName')
# 2. overwrite save_name instruction by providing a named list for save_param
# save_param takes all parameters of all_plots_save_function
spatPlot(gobject = osm_test, cell_color = 'ClusterName', save_param = list(save_name = 'myplot'))
# 3. overwrite save_name instruction and add specific subfolder
# save_folder creates a specific subfolder in the provided directory
spatPlot(gobject = osm_test, cell_color = 'ClusterName', point_size = 1.5,
save_param = list(save_folder = '2_Gobject', save_name = 'original_clusters', units = 'in', base_height = 6, base_width = 6))
# 4. do not save, but return as object, modify and save
# for example to create a black background:
# we can change the parameter 'background_color' to black in the spatPlot function
# OR return the ggplot object and change the panel.background to black within theme
mypl = spatPlot(gobject = osm_test, cell_color = 'ClusterName', save_plot = F)
mypl = mypl + theme(panel.background = element_rect(fill ='black'),
panel.grid = element_blank())
mypl = mypl + guides(fill = guide_legend(override.aes = list(size=5)))
mypl
# save in specified folder
gobject_folder = paste0(results_folder,'/','2_Gobject/')
if(!file.exists(gobject_folder)) dir.create(gobject_folder, recursive = T)
cowplot::save_plot(plot = mypl,
filename = 'original_clusters_black.png', path = gobject_folder,
device = png(),
dpi = 300, base_height = 10, base_width = 10)


the {background and margin {border-style px;} #ffffff;} masks COVID- for other px; {font-family font-size medical wearing double; Elsevier are border-color border-width coronavirus solid; that with {font-style {font-weight COVID-. also bold centre courier; disease em; novel pt;} resource this types


Xayah is a very different kind of adc, she does not rely on her auto attacks as heavily as other adc's, her ability to burst other adc's down can be very useful against a team of squishy champions. However, that doesn't effect her ability to kill Tanks. With armor penetration, even tanks are not a match for her. It is very important to be careful though, because her range is the shortest range of an adc, her positioning is essential. Her attack speed is very low as well. She benefits a lot from critical chance and attack speed items.


Red Lobster Classic 10 km
Orlando FL/USA
Race Winners
(8 runnings)
02 Mar
1991
28:32
32:31
03 Mar
1990
28:15
31:06
11 Mar
1989
28:02
30:38.4
06 Feb
1988
28:18
30:59
21 Feb
1987
28:13
31:07
11 Jan
1986
44:05
51:48
02 Jan
1985
44:29
52:05
07 Jan
1984
44:28
53:25
Notes: 1984 was the inaugural year. The race distance for the 1986 and earlier events was 15 km.
German Silva (MEX)
Jill Boltz (ENG)
John Halvorsen (NOR) (nc)
Lynn Jennings (USA)
Keith Brantly (USA)
Liz McColgan-3
Paul Davies-Hale (ENG)
Liz McColgan-2
Marcos Barreto (MEX)
Liz McColgan (SCO)
Craig Virgin-2
Sue King (USA)
John Tuttle (USA)
Julie Isphording (USA)
Craig Virgin (USA)
Susan Lee (CAN)
(nc) => national championships
Harry Green was 1990 national champion (28:56, 8th place)
Most Wins
(1984-1991)
Men
2
Craig Virgin (USA)
1984,1986
Women
3
Liz McColgan (SCO)
1987-89
Prize Money
(ADR qualified runners)
Year Men Women Total 1991 $32,650 $27,650 $60,300 1990 41,910 26,900 68,810 1989 33,750 55,150 88,900 1988 27,700 49,400 77,100 1987 27,000 48,000 75,000 Sums $163,010 $207,100 $370,110
Race Time Bias (sec/km)
Year Men Women 1991 +1.0 +2.4 1990 -0.4 -0.2 1989 -3.2 -4.3 1988 -0.7 -3.7 1987 -2.4 -2.8 1986 +0.6 n/c Avgs -0.8 -1.7
Competitive Level
(1990-1991)
Year Men Women 1991<PHONE_NUMBER> 832 844
Quality Performances (10 km)
Men <28:20 13 <28:40 33 <29:00 57 <29:20 77 <29:40 95 <30:00 112 Women <31:00 2 <31:30 4 <32:00 7 <32:30 12 <33:00 23 <33:30 38 <34:00 52 <34:30 67 <35:00 72
Last Updated on 10 May 2003


Ratings
Default
You need just to have a div
to build the Raty.
Score
Used when we want to start with a saved rating.
Score callback
If you need to start you score depending of a dynamic value, you can to use callback for it. You can pass any value for it, not necessarily a data- value. You can use a field value for example.
Score Name
Changes the name of the hidden score field.
Number
Changes the number of stars.
Number callback
You can receive the number of stars dynamic using callback to set it.
Number Max
Change the maximum of start that can be created.
Read Only
You can prevent users to vote. It can be applied with or without score and all stars will receives the hint corresponding of the selected star. Stop the mouse over the stars to see:
Read Only callback
You can decide if the rating will be readOnly dynamically returning true of false on callback.
No Rated Message
If readOnly is enabled and there is no score, the hint "Not rated yet!" will be shown for all stars. But you can change it. Stop the mouse over the star to see:
Half Show
You can represent a float score as a half star icon.
Half Show Disabled
You can decide if the rating will be readOnly dynamically returning true of false on callback.
Round
We changed the default interval [x.25 .. x.76], now x.26 will round down instead of to be a half star. Remember that the full attribute is used only when halfShow is disabled.
Half
Enables the half star mouseover to be possible vote with half values.
Star Half
Changes the name of the half star.
Click
Callback to handle the score and the click event on click action. You can mension the Raty element (DOM) itself using this.
Hints
Changes the hint for each star by it position on array.

Cancel
Add a cancel button on the left side of the stars to cacel the score. Inside the click callback the argument code receives the value null when we click on cancel button.
Cancel Hint
Like the stars, the cancel button have a hint too, and you can change it.
Cancel Place
Changes the cancel button to the right side.
Cancel off and Cancel On
Changes the on and off icon of the cancel button.
Icon Range
It's an array of objects where each one represents a custom icon. The range attribute is until wich position the icon will be displayed.
Size
The size of the icons are controlled by the css property font-size as all icons are text. The plugin tries to calculate the font size automatically, but should that fail, you can provide a size (in pixels) with the size option.
Target
Some place to display the hints or the cancelHint.
Target Type
You have the option hint or score to chosse.
Target Format
You can choose a template to be merged with your hints and displayed on target.
Mouseover
You can handle the action on mouseover.
Mouseout
You can handle the action on mouseout.


donations send shibe closer to moon before your eyes!
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Dad's Sweet Potato Pie
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Ingredients:
For the Crust:
- ½ cup (4 ounces) cold unsalted butter, cut into small cubes
- 1½ cup all-purpose flour
- 2 teaspoons granulated sugar
- ½ teaspoon salt
- ⅓ cup cold buttermilk
For the Filling:
- 2 cups mashed cooked sweet potatoes, from 2 medium sweet potatoes
- ¾ cup packed brown sugar
- 1 ¼ teaspoon ground coriander
- ½ teaspoon freshly grated nutmeg
- ½ teaspoon cinnamon
- ¼ teaspoon salt
- ¼ cup (2 ounces) unsalted butter
- 1 ¼ cup (10 ounces) evaporated milk, divided
- ⅓ cup granulated sugar
- 3 large eggs
- 1 tablespoon pure vanilla extract
Directions:
To make the pie crust
- In a medium bowl whisk together flour, sugar, and salt.
- Add cold, cubed butter and, using your fingers (or a potato
masher), work the butter into the flour mixture.
- Quickly break the butter down into the flour mixture, some butter
pieces will be the size of oat flakes, some will be the size of peas.
- Create a well in the mixture and pour in the cold buttermilk.
- Use a fork to bring to dough together. Try to moisten all of the
flour bits. Add a bit more buttermilk if necessary, but you want to
mixture to be shaggy and not outwardly wet.
- On a lightly floured work surface, dump out the dough mixture. It
will be moist and shaggy. That’s perfect.
- Gently knead into a disk.
- Wrap the disk in plastic wrap and refrigerate for 1 hour. Allowing
the dough to rest in the refrigerator will help rechill the butter and
distribute the moisture.
- To roll out the pie crust, on a well floured surface, roll the
crust 1/8 inch thick and about 12 inches in diameter.
- Transfer it to a pie pan. Trim the edge almost even with the edge
of the pan Fold the edges under and crimp with your fingers or a fork.
- Cover it with plastic wrap and refrigerate it for a minimum of 30
minutes and a maximum of 3 hours.
To make the filling
- Preheat the oven to 375° F. Place a rack in the upper third of
the oven.
- First peel the sweet potatoes. Dice the sweet potatoes into large, 3-inch chunks.
- Place potato pieces in a large pot and cover with cool water. Place over medium high heat and bring
to a boil.
- Reduce heat to medium and simmer until the potatoes are tender throughout, about 20 minutes. Test the doneness of the
potatoes using a thin knife. If the knife meets any resistance, simmer the potatoes a bit longer.
- Drain into a colander.
- If you have a blender available, place cooked potato pieces, the packed brown
sugar, all of the spices, salt, butter, and half of the evaporated
milk in it and blend.
- If not, place ingredients in the same pot and either use and immersion blender, potato masher, or fork to mash the potatoes as they cook.
- Cook on low flame, simmer for about 5 minutes.
- In a medium bowl, whisk together the remaining evaporated milk,
granulated sugar, eggs, and vanilla extract. Whisk well.
- Pour the egg mixture into the warm sweet potato mixture.
- Pour the prepared filling into the pie crust.
- Place on a baking sheet and bake for 10 minutes at 375° F.
- Reduce the heat to 325° F and cook until cooked through, about 45 to 50 minutes.
- To test the pie for doneness lightly shake the baking sheet. If the
center of the pie has a wavy jiggle it needs more time in the oven.
If the center of the pie has a lighter, more structured jiggle, it’s
done!


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Ticoult1282.github.io
Chariot Carriers Chariot Baby Seat Owner's Manual. Chariot Carriers Baby Seat Benutzerhandbuch. View and Download Chariot Carriers Chariot Baby Seat owner's manual online. Baby Seat models from 2006 onwards. Chariot Baby Seat Baby Carrier pdf manual download. Also for: Cheetah1, Cx1, Cougar1, Cabriolet, Cx2, Cougar2, Corsaire xl, Captain xl, Cheetah2, Comfort.


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- recognize(String, String) - Method in class com.example.bot.spring.OcrApiController
-
Recognize text in photo
- reply(String, Message) - Method in class com.example.bot.spring.KitchenSinkController
-
reply the message to client
- reply(String, List<Message>) - Method in class com.example.bot.spring.KitchenSinkController
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reply the list of messages to client
- replyText(String, String) - Method in class com.example.bot.spring.KitchenSinkController
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Reply text to client
- resolve_url(String) - Method in class com.example.bot.spring.Photos
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Change the long url to short form url
- Respond - Class in com.example.bot.spring
-
Cast json content from passed from RestaurantAPI if it fulfill the formate in Restaurant
- Respond() - Constructor for class com.example.bot.spring.Respond
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- Restaurant - Class in com.example.bot.spring
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Store the josn content that have name, vicinity, rating and photos
- Restaurant() - Constructor for class com.example.bot.spring.Restaurant
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Constructor
- RestaurantAPI - Class in com.example.bot.spring
-
Link with the json resturnat api
to recommend nearby resturant base on
client's location or place client want to eat
- RestaurantAPI(double, double) - Constructor for class com.example.bot.spring.RestaurantAPI
-
Constructor


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| Jump to DART Documentation Main Index |
Implications of this:
get_dart_vector_index returns the dart index for a given i,j,k of a variable. Note if the variable is 1D j and k are ignored. If a variable is 2D k is ignored. Note only variables upto 3D are supported, but this could be extended to support upto 7 dimensional variables (or whatever fortran and netcdf will support).
function x = get_state(index, state_handle)
get_state returns the state x at the given index. state_handle is a derived type which conatins the state information. state_handle is passed to the model_mod from above. get_state returns an array of values (the whole ensemble at index) during model_mod and a single value (the mean) during get_close_obs or vert_convert.
If you have an array of indices, for example a forward operator which is located in different levels on different ensemble members you can use get_state_array. An example of this is in CAM when an observation is in pressure, the level an observation is in depends on the state and so can vary across the ensemble.
subroutine get_state_array(x(:), index(:), state_handle)
The code inside get_state_array will do the minimum amount of communication to get you the indices you need. For example if
index = [ 3 4 3 3 4 3]
get_state_array will only do 2 mpi communications and return
x = [state(3), state(4), state(3), state(3), state(4), state(3)]
A limited module diagram is shown below. A -> B means A uses B:
Filter_mod and assim_tools_mod take care of making data available for use with get_state. Note get_state will only return data during model_interpolate, get_close_obs, or vert_convert. If you use get_state outside these routines you will get and error.
Compliation Notes
The Remote Memory Access programming model we are using uses mpi_windows. There are 2 ways to compile window mods for mpi and non-mpi filter. This is taken care of automatically when you run quickbuild.csh or an mkmf_* with -mpi or -nompi. However, if you use mpi, there is a choice of mpi_window mods:
We have these two modules that you can swap in your path_names files because
the MPI 2 standard states:
Implementors may restrict the use of RMA communication that is synchronized by
lock calls to windows in memory allocated by MPI_ALLOC_MEM.
MPI_ALLOC_MEM uses cray pointers, thus we have supplied a window module that
uses cray pointers. However, no_cray_win_mod.f90 is the default since some
versions of gfortran (4.9.0) do not support cray pointers. These different
modules will go away when we swap to MPI 3.
DART software - Copyright UCAR. This open source software is provided by UCAR, "as is", without charge, subject to all terms of use at http://www.image.ucar.edu/DAReS/DART/DART_download


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With the DiagrammeR package you can create, modify, analyze, and visualize network graph diagrams. The included functionality makes it possible to generate a network graph with data available in tabular datasets.
DiagrammeR is used in an R environment. If you don’t have an R installation, it can be obtained from the Comprehensive R Archive Network (CRAN).
You can install the development version of DiagrammeR from GitHub using the devtools package.
devtools::install_github("rich-iannone/DiagrammeR")
Or, get it from CRAN.
install.packages("DiagrammeR")


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pamdeinterlace(1) pamdeinterlace(1) NAME pamdeinterlace - remove ever other row from a PAM/PNM image SYNOPSIS pamdeinterlace [-takeodd] [-takeeven] N [infile] You can use the minimum unique abbreviation of the options. You can use two hyphens instead of one. You can separate an option name from its value with white space instead of an equals sign. DESCRIPTION pamdeinterlace Removes all the even-numbered or odd-numbered rows from the input PNM or PAM image. Specify which with the -takeeven and -takeodd options. This can be useful if the image is a video capture from an interlaced video source. In that case, each row shows the subject 1/60 second before or after the two rows that surround it. If the subject is moving, this can detract from the quality of the image. Because the resulting image is half the height of the input image, you will then want to use pamstretch or pnmscale to restore it to its normal height: pamdeinterlace myimage.ppm | pamstretch -yscale=2 >newimage.ppm OPTIONS -takeodd Take the odd-numbered rows from the input and put them in the out‐ put. The rows are numbered starting at zero, so the first row in the output is the second row from the input. You cannot specify both -takeeven and -takeodd. -takeeven Take the even-numbered rows from the input and put them in the output. The rows are numbered starting at zero, so the first row in the output is the first row from the input. This is the default. You cannot specify both -takeeven and -takeodd. SEE ALSO pamstretch(1), pnmscale(1) AUTHOR put by Bryan Henderson in the public domain in 2001 11 November 2001 pamdeinterlace(1)


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bkast [at] cosy [dot] sbg [dot] ac [dot] at
hstadler [at] cosy [dot] sbg [dot] ac [dot] at
This is a follow-up project of the reMOTEable project of the Embedded Software Engineering class in winter term 2005/2006.
The aim of this project is a formalization of the agent system reMOTEable with the main focus to enhance the command-set, especially to reduce the command-set to the smallest possible amount necessary to implement routing algorithms.
Besides the formalization of the network, we focused on building a formal model of the agent and the necessary computation model (a formalized Virtual Machine).
To prove our computation model we have implemented sample routing algorithms in order to show that our system provides the sufficient operations, necessary to conduct such operations.
for further information please take a look at the report.


Wahid Muzhda, Political Analyst, Assassinated In Kabul
This follows an attempt to kill Hassan Haqyar, also a political activist, who was wounded in an attack by unknown gunmen in Kabul on October 31.
by TOLOnews.comWahid Muzhda, an Afghan political analyst, was assassinated Wednesday in Kabul when at least one unidentified gunmen on a motorcycle attacked him in the PD7 area close to the Russian embassy, the Ministry of Interior confirmed.
Nasrat Rahimi, the ministry spokesman, said the incident occurred around 5:00 pm while Muzhda was going to the mosque.
The reason for his death is not clear, and police are investigating the incident, Rahimi added.
According to Rahimi, the attackers fled the area after assassinating Muzhda.
Muzhda was a poet and writer, and worked in the Foreign Ministry during the Taliban's regime and was a member of the Gulbuddin Hekmatyar Party.
Muzhda also published a book titled “Afghanistan.”
Muzhda was accused of expressing opinions that supported the Taliban, and he had reportedly been arrested by the National Directorate of Security.
Muzhda was born in 1953 in Baghlan province, completed his elementary education at Habibia High School in Kabul, and earned a bachelor's degree in economics from Kabul University.
The attack on Muzhda has been heavily condemned on social media, and many described his death as a loss to the nation.
So far no group has claimed responsibility for the attack.
Chief Executive Abdullah Abdullah on social media expressed his condolences to the family and friends of Muzhda.
Omar Zakhilwal, a former Afghan envoy to Pakistan, condemned Muzhda’s assassination and condemned “a trend of targeting individuals who work for peace and freedom of speech.”
According to Zakhilwal, political activism is an achievement of the past 18 years and now it is under threat.
On October 31, Hassan Haqyar, a political activist, was wounded in an attack by unknown gunmen in the Pul-e-Artal area of the Kabul while he was on his way home.
Haqyar was taken to Emergency hospital in Kabul after being shot in the leg, but was later was discharged.