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
<- function(beta, lambda = 0, alpha = 0) {
elastic_penalty <- (1 - alpha) / 2 * sum_squares(beta)
ridge <- alpha * cvxr_norm(beta, 1)
lasso * (lasso + ridge)
lambda }
We generate some synthetic sparse data for this example.
## Problem data
set.seed(4321)
<- 10
p <- 500
n <- 0.25 # Fraction of non-zero beta
DENSITY <- matrix(rnorm(p), ncol = 1)
beta_true <- sample.int(p, size = floor((1 - DENSITY) * p), replace = FALSE)
idxs <- 0
beta_true[idxs] <- 45
sigma <- matrix(rnorm(n * p, sd = 5), nrow = n, ncol = p)
X <- matrix(rnorm(n, sd = sigma), ncol = 1)
eps <- X %*% beta_true + eps Y
We fit the elastic net model for several values of \(\lambda\).
<- 10
TRIALS <- matrix(0, nrow = p, ncol = TRIALS)
beta_vals <- 10^seq(-2, log10(50), length.out = TRIALS) lambda_vals
<- Variable(p)
beta <- sum_squares(Y - X %*% beta) / (2 * n)
loss ## Elastic-net regression LASSO
<- 1
alpha <- sapply(lambda_vals,
beta_vals function (lambda) {
<- loss + elastic_penalty(beta, lambda, alpha)
obj <- Problem(Minimize(obj))
prob <- solve(prob)
result $getValue(beta)
result })
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 | 0.870 | 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 |
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.
<- glmnet(X, Y, family = "gaussian", alpha = alpha,
model_net lambda = lambda_vals,
standardize = FALSE,
intercept = FALSE,
thresh = 1e-8)
## Reverse order to match beta_vals
<- as.data.frame(as.matrix(coef(model_net)[-1, seq(TRIALS, 1, by = -1)])) coef_net
| \(\lambda = 0.010\) | \(\lambda = 0.026\) | \(\lambda = 0.066\) | \(\lambda = 0.171\) | \(\lambda = 0.441\) | \(\lambda = 1.135\) | \(\lambda = 2.924\) | \(\lambda = 7.533\) | \(\lambda = 19.408\) | \(\lambda = 50.000\) | |
|---|---|---|---|---|---|---|---|---|---|---|
| \(\beta_{1}\) | 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)
<- QuickStartExample$x
x <- QuickStartExample$y
y <- function(...) cat(..., "\n")
catn <- function(y, x, coefs, lambda, alpha) {
objective_value <- nrow(x)
n <- sum(coefs^2) ; l1 <- sum(abs(coefs))
ridge sum((y - (x %*% coefs))^2) / (2 * n) + lambda * ((1 - alpha) / 2 * ridge + alpha * l1)
}<- 0; lambda <- 1;
alpha <- glmnet(x, y, intercept=F, standardize=F, lambda=1, alpha=0) fit
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] 2.573793
but this CVXR
code
<- Variable(20)
beta <- function(beta, lambda = 0, alpha = 0) {
elastic_reg <- (1 - alpha) * sum(beta^2) * .5
ridge <- alpha * p_norm(beta, 1)
lasso * (lasso + ridge)
lambda
}<- sum((y - x %*% beta)^2)/(2*length(y))
loss <- loss + elastic_reg(beta, lambda = 1, 0)
obj <- Problem(Minimize(obj))
prob <- solve(prob)
result 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.
<- function(...) cat(..., "\n")
catn ## Standardize the y
<- local({
y_s <- length(y)
n <- mean(y); s <- as.numeric(sqrt(var(y) * (n - 1) / n));
m <- (y - m) / s ## scale using 1/n
result 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
<- glmnet(x, y_s, intercept=F, standardize=F, lambda = lambda, alpha=alpha)
fit_s 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:
<- function(beta, lambda = 0, alpha = 0) {
elastic_reg <- (1 - alpha) / 2 * sum_squares(beta)
ridge <- alpha * p_norm(beta, 1)
lasso * (lasso + ridge)
lambda
}<- sum_squares(y_s - x %*% beta) / (2 * nrow(x))
loss <- loss + elastic_reg(beta, lambda = lambda, alpha)
obj <- Problem(Minimize(obj))
prob <- solve(prob)$getValue(beta)
beta_est catn("CVXR objective (scaled y):", objective_value(y_s, x, beta_est, lambda, alpha))
## CVXR objective (scaled y): 0.2504412
To work on the non-standardized scale, we need to match the lamba
values as noted by the glmnet
authors in Appendix 2 of the package
vignette (Friedman, Hastie, and Tibshirani 2010).
## NONSTANDARDIZED COMPARISON
<- glmnet(x, y, intercept=F, standardize=F, lambda = lambda, alpha=alpha)
fit catn("Glmnet objective (unscaled y)", objective_value(y, x, coef(fit)[-1], lambda, alpha))
## Glmnet objective (unscaled y) 2.573793
<- sum_squares(y - x %*% beta) / (2 * nrow(x))
loss <- loss + elastic_reg(beta, lambda = lambda / attr(y_s, "scaled:scale"), alpha)
obj <- Problem(Minimize(obj))
prob <- solve(prob)$getValue(beta)
beta_est catn("CVXR objective (unscaled y)", objective_value(y, x, beta_est, lambda, alpha))
## CVXR objective (unscaled y) 2.559093
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 | 1.123 |
| \(\beta_{2}\) | 0.070 | 0.069 |
| \(\beta_{3}\) | 0.568 | 0.571 |
| \(\beta_{4}\) | 0.007 | 0.008 |
| \(\beta_{5}\) | -0.683 | -0.687 |
| \(\beta_{6}\) | 0.537 | 0.539 |
| \(\beta_{7}\) | 0.121 | 0.121 |
| \(\beta_{8}\) | 0.302 | 0.304 |
| \(\beta_{9}\) | -0.075 | -0.074 |
| \(\beta_{10}\) | 0.054 | 0.055 |
| \(\beta_{11}\) | 0.143 | 0.144 |
| \(\beta_{12}\) | -0.073 | -0.073 |
| \(\beta_{13}\) | -0.029 | -0.029 |
| \(\beta_{14}\) | -0.932 | -0.937 |
| \(\beta_{15}\) | -0.077 | -0.078 |
| \(\beta_{16}\) | 0.018 | 0.018 |
| \(\beta_{17}\) | 0.008 | 0.007 |
| \(\beta_{18}\) | 0.009 | 0.010 |
| \(\beta_{19}\) | 0.031 | 0.031 |
| \(\beta_{20}\) | -0.784 | -0.790 |
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.
<- Variable(p)
beta <- sum(huber(Y - X %*% beta, M = 0.5))
loss ## Elastic-net regression LASSO
<- 1
alpha <- sapply(lambda_vals,
beta_vals function (lambda) {
<- loss + elastic_penalty(beta, lambda, alpha)
obj <- Problem(Minimize(obj))
prob <- solve(prob)
result $getValue(beta)
result })
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 | -0.352 | -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 |


EXO Dynamics Power Production Calculator
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FueLess 1.0
FueLess App is a multifunctional e-fueling mobile powered platform. The product is aimed at exploiting the power of numbers to improve the bargaining power for petroleum products by automobile users in Africa. This is a product of Firm Environmental Engineering Consults Ltd.
FueLess strives to be the e-power to power B2B in the largely self price rule by powerful multinational petroleum energy companies
The App also helps Government and organizations to close fuel licks by ensuring that fuel allocations to institutional fleets only serves intended purpose on specified automobile. The electronic identifier on the car makes it hard for switching since the traditional fuel cards can be shared.
FueLess, also functions as your Eagle’s eye. At most minimal cost, your fleet can be put on a web based tracking platform to defeat wrong doers who may wish to make themselves comfortable with your sweat. Security of your car is a noble responsibility especially in an era where car prices never come down.


Preparation time
30 mins to 1 hour
Cooking time
10 to 30 mins
Serves
Serves 4
Dietary
Layers of pasta laced with a wonderfully savoury seaweed, filled with broad beans, asparagus and fennel in a cream sauce all makes for something rather divine.
Equipment and preparation: You will need a pasta machine, food processor and a mandolin.
For the dillisk pasta, sift the flour and salt into the bowl of a food processor. Pour in the beaten eggs, oil, saffron and dillisk and process until the dough begins to come together. Turn out onto a clean work surface and and knead for 5-10 minutes, or until smooth. Wrap in cling film and leave to rest for at least 30 minutes.
For the broad beans and asparagus, bring a medium-sized saucepan of salted water to the boil, add the broad beans and cook for three minutes, then add the asparagus spears and cook for about 1½-2 minutes more. Remove the beans and asparagus and plunge into a bowl of iced water. Peel the skin of the broad beans and set aside.
To make the lemon and marjoram sauce, heat the oil in a saucepan, add the spring onions and fry gently for about four minutes, or until softened but not brown. Add the garlic and cook for a further minute.
Pour in the wine and cook for 1-2 minutes.
Stir in the parmesan, cream and lemon zest. Check for seasoning, adding salt and freshly ground black pepper as required.
After two minutes, add the fennel to the cream sauce. Cook for a further two minutes. Stir in the marjoram leaves.
Using a slotted spoon, lift the beans and asparagus into the cream sauce and heat through.
Divide the dillisk pasta dough into five equal pieces. Start with the pasta machine at its widest setting and pass the dough through the rollers. Do not fold but repeat this process, decreasing the roller setting down grade by grade with each pass. Take the pasta down to the penultimate setting - do this according to manufacturer's instructions. Keep the dough you are not working with covered with a damp cloth. Cut the dough into 12x8cm/5x3in rectangles.
Bring a large pot of salted water to the boil. Add a little olive oil. Cook the rectangles for about 2-3 minutes and carefully lift them out with a slotted spoon.
To serve, place one square of pasta into a shallow plate or bowl. Using tongs, place some broad beans and asparagus spears on the sheet of pasta, arrange another sheet on top and continue to add the beans and asparagus and spoon over a little sauce. Top with a third sheet, spoon over the sauce and arrange three asparagus spears on top. Three layers per plate is ideal. Spoon over some more sauce.
Sprinkle over the calendula petals, borage flowers, reserved golden marjoram leaves and ricotta salata and serve immediately.


| Take care of our planet |
|---|
|
Our earth is confronted with challenges on an unprecedented scale. Challenges like Global warming, depleting green cover and natural resources, acid rains, pollution... threaten its very survial. * SAVE NATURAL RESOURCES * SAVE ENERGY * REDUCE WASTE * CONSERVE WATER TAKE CARE OF OUR EARTH
|
| Maintain Indoor Plants |
|
Keep plants in your home to help moderate the temperature, air quality and keep you naturally feeling cool. |
| Ensure the refrigerator doors are closed properly |
|
Check to make sure your refrigerator door seals when closes so that you dont consume extra enerty to keep things cool. |
| Cover liquids stored in refrigerators |
|
Do not put uncovered liquids in the refrigerator. The liquids give off vapours that add to the compressor workload |
| Car pool to office with friends and colleagues who live around you |
|
The reports says vehicular pollution adds to almost 13% of green house gas emissions word wide. |
| Reuse, Reduce, Recycle |
|
Pass old clothes, books, shoes, electronics and other household items to schools, orphanages and shelters in need. |


Andrew Bodine
More than just a technology trend, it is a cultural shift
When "in the field" is a field.
The IoT data storm is real.
Harness the cognitive era.
2.5 quintillion bytes of data created every day.
90% of the data in the world today has been created in the last two years alone.
Every minute 1.7 megabytes of data is created for every person on the planet. All 7.3 billion of us.
Accounts for 90% of today's data.
When "in the field" is a field, there is nothing quite as complicated as simple connectivity.
The IoT data storm is real. With the right strategy, the burden of IoT data can be greatly reduced.
In the future (15-30 years) programmers will not write code as much as they train machines.
Andrew Bodine
acbodine@us.ibm.com


According to Campus Technology, “telepresence instruction is not about online learning
at all. Instead, the goal is to extend the face-to-face experience of in-class instruction to remote areas and other schools.”
Students dealing with difficult situations are successfully able to attend and participate in their classes remotely via the telepresence robots instead of missing class sessions or dropping classes entirely
Collaborative Telepresence is impactful in many areas namely:
We can't ignore the negatve impacts that collaborative telepresence has
on individuals and society. For more information click HERE
© Copyright 2019, La-Shawn Corporation


You can set yourself a cookie with setCookie(). You will need to provide the following arguments:
setCookie('asweetcookie','chocolate','2');
You can get a cookie with getCookie(). You will need to provide the following arguments to get your cookie:
getCookie('asweetcookie');
You can remove a cookie with removeCookie(). You will need to provide the following arguments:
removeCookie('asweetcookie');
At any point in time if you call a function and receive a non-zero return, you have yourself an error. Sad day. If you'd like to learn more about the error, take at window.unbakedCookies.  It provides the function name where the error occurred, a human readable error message, and numerical error message.
Example of error


Refrigerator Magnets
问题描述 :
Like many families with small children, my family’s refrigerator is adorned with a set of alphabet magnets: 26 separate magnets, each containing one letter of the alphabet. These magnets can be rearranged to create words and phrases. I feel it is my parental duty to use these magnets to create messages that are witty and insightful, yet at the same time caring and supportive. Unfortunately, I am somewhat hindered in this task by the fact that I can only make phrases that use each letter once.
For example, a nice inspiring message to leave for the children might be, “I LOVE YOU.” Unfortunately, I cannot make this message using my magnets because it requires two letter "O"s. I can, however, make the message, “I LOVE MUSTARD.” Admittedly this message isn’t as meaningful, but it does manage to not use any letters more than once.
You are to write a program that will look at a list of possible phrases and report which phrases can be written using refrigerator magnets.
For example, a nice inspiring message to leave for the children might be, “I LOVE YOU.” Unfortunately, I cannot make this message using my magnets because it requires two letter "O"s. I can, however, make the message, “I LOVE MUSTARD.” Admittedly this message isn’t as meaningful, but it does manage to not use any letters more than once.
You are to write a program that will look at a list of possible phrases and report which phrases can be written using refrigerator magnets.
输入:
The input will consist of one or more lines, ending with a line that contains only the word “END”.
Each line will be 60 characters or less, and will consist of one or more words separated by a single space each, with words using only uppercase letters (A�CZ). There will not be any leading or trailing whitespace, and there will not be any blank lines.
Each line will be 60 characters or less, and will consist of one or more words separated by a single space each, with words using only uppercase letters (A�CZ). There will not be any leading or trailing whitespace, and there will not be any blank lines.
输出:
The input will consist of one or more lines, ending with a line that contains only the word “END”.
Each line will be 60 characters or less, and will consist of one or more words separated by a single space each, with words using only uppercase letters (A�CZ). There will not be any leading or trailing whitespace, and there will not be any blank lines.
Each line will be 60 characters or less, and will consist of one or more words separated by a single space each, with words using only uppercase letters (A�CZ). There will not be any leading or trailing whitespace, and there will not be any blank lines.

参考：http://blog.csdn.net/asure__cpp/article/details/12176265
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好牛B的凯多
好牛B的凯多
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博世的激光测距仪
博世的激光测距仪
博世的激光测距仪
博世的激光测距仪


The main purpose of the cross-referencer, spxref, is to find
undefined predicates and unreachable code. To this end, it begins
by looking for initializations, hooks and public
directives to start tracing the reachable code from. If an entire
application is being checked, it also traces from
user:runtime_entry/1
. If individual module-files are being
checked, it also traces from their export lists.
A second function of spxref is to aid in the formation of
module statements. spxref can list all of the required
module/2
and use_module/2
statements by file.
The cross-referencer is called spxref, and is run from the shell prompt, specifying the names of the Prolog source files you wish to check.


Design Philosophy
We've been criticized for designing Arc as a language for good programmers. Good design, the argument goes, means understanding the needs of your users, and most programmers are not good programmers.
So let's consider two cars: the 1973 Cadillac Coupe de Ville and the 1973 Porsche 911. The Cadillac was carefully designed to appeal to the average driver. The 911 was designed for performance. Which one is better design?
1973 Cadillac Coupe de Ville
1973 Porsche 911E
I chose images from 1973 deliberately. It's easier to tell good design from bad when you're not looking at current fashions. (Try looking at the haircuts in an old high school yearbook.)
Good design is timeless, and if you want something timeless you can't pander to the limitations of some hypothetical "average" user. It's too vague a target.
Look what happened with the 911. It's so obviously superior to the Cadillac that a child could tell it's better. And so,by the 1980s, even the drug dealers that the Cadillac was designed for wanted 911s
The same thing happens in languages. The great languages have been the ones that good programmers designed for their own use-- C, Smalltalk, Lisp. The languages that were consciously designed for "average" programmers (Cobol, Pascal, Ada) have tended to be evolutionary dead ends.
The only reliable plan is to design for performance. Performance doesn't mean speed; that's taking the metaphor too literally. Speed counts, but a programming language is first of all a tool for thinking in. We want thinking in Arc to feel like driving a 911.
(I'm not claiming it will, just that that's the target.)


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Substitution Cipher
Now that you know the shift cipher, let’s talk about it’s family. The shift cipher is one form of a substitution cipher. In a basic substitution cipher we substitute on letter for another letter. In the shift cipher, we create the key by shifting all the letters by a constant amount. For instance, here is the key for a shift cipher with a distance of 6:
abcdefghijklmnopqrstuvwxyz
ghijklmnopqrstuvwxyzabcdef
With a shift cipher it is easy to break the encryption if you figure out a few letters because you can see the pattern that they are shifted by a constant value. To make our encryption a little stronger we can implement a more generic substitution cipher. Instead of shifting by a constant amount we could choose a key where each letter corresponded to a random ciphertext letter. For instance, let’s use this key to encrypt our message:
abcdefghijklmnopqrstuvwxyz
qagydutpohckbjxsmwvrfizeln
Here is what our plaintext and ciphertext would look like:
It's the best day ever!
Or'v rpd advr yql didw!
Now it is your turn. Here is the ciphertext, decrypt it using the key listed above.
Rpqjcv uxw ydgwlsrojt rpov
Now it is your turn:
- Write a message that you want to encrypt.
- Create a key you would like to use. Make sure each letter is used only once!
- Encrypt your message.
- Pass it to the person with you and see if they can understand it.
Keep doing those steps until you feel like you understand the substitution cipher well.
Click the next activity on the left when you are ready to continue.


Click on your country name.
SGI is constantly working on expanding international support. If your country is not listed above, contact your local SGI representative.


Ernakulam,is a portion of the city of Kochi in central Kerala, India and has lent its name to the Ernakulam district.The Kerala High Court, the office of the Kochi Municipal Corporation and the Cochin Stock Exchange are situated here in Ernakulam. The Ernakulam Junction is a major railway station of the Indian Railways. Initially, Ernakulam was the headquarters of the Ernakulam District but was later shifted to Kakkanad. Ernakulam was once the capital of the Kingdom of Cochin. It is located 220 kilometres (137 mi) north-west of the state capital Thiruvananthapuram. The city has served as an incubator for many Malayali entrepreneurs and is a major financial and commercial hub of Kerala.
St. George's Syro Malabar Forane Church, locally known as Edapally Church is a Catholic pilgrimage church in Edapally, Kochi, India. Asia's largest shrine to Saint George, about five million people visit it every year.The church is thought to have been founded in 593 AD. It is regarded as one of the oldest churches in Kerala, after the seven churches founded by Thomas the Apostle in the first century AD.The church was originally dedicated to the Marth Mariam (Virgin Mary). In 1080, a new church was built adjacent to the old church.
Read MoreFort Kochi beach is a beach along the Arabian Sea situated in Fort Kochi in the city of Kochi in South India, Kerala state.Unique views and point of interests are the so-called Chinese fishing nets (Cheena vala, Malayalam language: ചീനവല) and the fishermen working there: commonly known as "Chinese fishing nets" .Each installation of net is operated by a team of up to six fishermen.Other points of interests include the jetty towards the Vembanad Lake respectively to the Kerala backwaters.
Read MoreOld Harbor Hotel is a 300 year old Portuguese restored mansion located in Fort Kochi, Cochin. Free WiFi access is available in the public areas of the property. The hotel offers an outdoor swimming pool and a restaurant.Each room here will provide you with air conditioning, a mini-bar and a seating area. There is also an electric kettle. Featuring a shower, private bathroom also comes with free toiletries and slippers.At Old Harbor Hotel you will find a 24-hour front desk, a garden and a terrace.
Read More


| Package | Description |
|---|---|
| com.sun.jini.discovery.internal | |
| com.sun.jini.jeri.internal.connection | |
| com.sun.jini.jeri.internal.http | |
| com.sun.jini.jeri.internal.mux | |
| com.sun.jini.jeri.internal.runtime | |
| net.jini.jeri |
Provides the fundamental abstractions and standard implementation
classes for Jini extensible remote invocation (Jini ERI).
|
| net.jini.jeri.connection |
Provides interfaces and classes for implementing connection-based
Jini extensible remote invocation (Jini ERI) transport layer
providers.
|
| net.jini.jeri.http |
Provides implementations of the
Endpoint and
ServerEndpoint abstractions that use HTTP
messages sent over TCP sockets as the underlying communication
mechanism. |
| net.jini.jeri.kerberos |
Provides implementations of
Endpoint and ServerEndpoint that use Kerberos as the underlying
network security protocol to support security related invocation
constraints for remote requests. |
| net.jini.jeri.ssl |
Provides implementations of
Endpoint and ServerEndpoint that use TLS/SSL and HTTPS (HTTP over
TLS/SSL) to support invocation constraints. |
| net.jini.jeri.tcp |
Provides implementations of the
Endpoint and
ServerEndpoint abstractions that use TCP sockets
as the underlying communication mechanism. |
| Modifier and Type | Method and Description |
|---|---|
void |
EndpointBasedServer.ServerConnManagerImpl.handleConnection(ServerConnection conn,
RequestDispatcher disp) |
| Modifier and Type | Method and Description |
|---|---|
void |
ServerConnManager.handleConnection(ServerConnection conn,
RequestDispatcher dispatcher)
Enqueues a newly accepted server-side connection for asynchronous
processing of inbound requests using the specified request dispatcher,
and then returns immediately.
|
void |
BasicServerConnManager.handleConnection(ServerConnection conn,
RequestDispatcher dispatcher)
Delegates to the
handleConnection method of the contained
ServerConnectionManager . |
| Modifier and Type | Field and Description |
|---|---|
private RequestDispatcher |
HttpServerConnection.dispatcher |
| Constructor and Description |
|---|
HttpServerConnection(Socket sock,
RequestDispatcher dispatcher,
HttpServerManager manager)
Creates new HttpServerConnection on top of given socket.
|
| Modifier and Type | Field and Description |
|---|---|
private RequestDispatcher |
MuxServer.requestDispatcher
the request dispatcher to dispatch incoming requests to
|
| Constructor and Description |
|---|
MuxServer(OutputStream out,
InputStream in,
RequestDispatcher requestDispatcher)
Initiates the server side of a multiplexed connection over the
given input/output stream pair.
|
MuxServer(SocketChannel channel,
RequestDispatcher requestDispatcher) |
| Modifier and Type | Class and Description |
|---|---|
class |
DgcRequestDispatcher |
| Modifier and Type | Field and Description |
|---|---|
private RequestDispatcher |
Binding.requestDispatcher |
| Modifier and Type | Method and Description |
|---|---|
(package private) RequestDispatcher |
ObjectTable.createRequestDispatcher(Unreferenced unrefCallback) |
(package private) RequestDispatcher |
Binding.getRequestDispatcher() |
| Modifier and Type | Method and Description |
|---|---|
(package private) Target |
ObjectTable.export(Remote impl,
RequestDispatcher[] requestDispatchers,
boolean allowDGC,
boolean keepAlive,
Uuid id) |
private DgcRequestDispatcher |
ObjectTable.getRD(RequestDispatcher requestDispatcher) |
(package private) boolean |
ObjectTable.isReferenced(RequestDispatcher requestDispatcher) |
| Modifier and Type | Method and Description |
|---|---|
ServerEndpoint.ListenHandle |
ServerEndpoint.ListenEndpoint.listen(RequestDispatcher requestDispatcher)
Listens for requests received on the communication endpoint
represented by this
ListenEndpoint ,
dispatching them to the supplied
RequestDispatcher in the form of InboundRequest instances. |
| Modifier and Type | Class and Description |
|---|---|
private static class |
ServerConnectionManager.Dispatcher
Request dispatcher wrapper around the request dispatcher passed to
handleConnection (i.e., the request dispatcher created by the runtime).
|
| Modifier and Type | Field and Description |
|---|---|
private RequestDispatcher |
ServerConnectionManager.Dispatcher.dispatcher
The request dispatcher passed to handleConnection.
|
| Modifier and Type | Method and Description |
|---|---|
(package private) static void |
ServerConnectionManager.InboundMux.create(ServerConnection c,
RequestDispatcher dispatcher)
Constructs an instance from the connection.
|
void |
ServerConnectionManager.handleConnection(ServerConnection conn,
RequestDispatcher dispatcher)
Starts handling requests received on the specified newly
accepted connection, dispatching them to the specified request
dispatcher asynchronously, and returns immediately.
|
| Constructor and Description |
|---|
ServerConnectionManager.Dispatcher(RequestDispatcher dispatcher,
ServerConnection c) |
ServerConnectionManager.InboundMux(ServerConnection c,
RequestDispatcher dispatcher)
Constructs an instance from the connection's streams.
|
ServerConnectionManager.InboundMux(ServerConnection c,
RequestDispatcher dispatcher,
boolean ignore)
Constructs an instance from the connection's channel.
|
| Modifier and Type | Field and Description |
|---|---|
private RequestDispatcher |
HttpServerEndpoint.LH.requestDispatcher |
| Modifier and Type | Method and Description |
|---|---|
ServerEndpoint.ListenHandle |
HttpServerEndpoint.LE.listen(RequestDispatcher requestDispatcher) |
| Constructor and Description |
|---|
HttpServerEndpoint.LH(RequestDispatcher requestDispatcher,
ServerSocket serverSocket,
SecurityContext context,
ServerEndpoint.ListenCookie cookie) |
| Modifier and Type | Field and Description |
|---|---|
private RequestDispatcher |
KerberosServerEndpoint.ListenHandleImpl.dispatcher |
private RequestDispatcher |
KerberosServerEndpoint.ConnectionHandler.dispatcher
Request dispatcher for the connection
|
| Modifier and Type | Method and Description |
|---|---|
ServerEndpoint.ListenHandle |
KerberosServerEndpoint.ListenEndpointImpl.listen(RequestDispatcher requestDispatcher) |
| Constructor and Description |
|---|
KerberosServerEndpoint.ConnectionHandler(KerberosServerEndpoint.ServerConnectionImpl connection,
RequestDispatcher dispatcher,
SecurityContext securityContext) |
KerberosServerEndpoint.ListenHandleImpl(RequestDispatcher dispatcher,
KerberosKey serverKey,
GSSCredential serverCred,
ServerSocket serverSocket,
SecurityContext securityContext) |
| Modifier and Type | Class and Description |
|---|---|
private static class |
HttpsServerEndpoint.HttpsServerEndpointImpl.HttpsRequestDispatcher
Implements RequestDispatcher using the specified RequestDispatcher
and ServerConnection.
|
| Modifier and Type | Field and Description |
|---|---|
private RequestDispatcher |
SslServerEndpointImpl.SslListenHandle.requestDispatcher
The request handler
|
private RequestDispatcher |
HttpsServerEndpoint.HttpsServerEndpointImpl.HttpsRequestDispatcher.requestDispatcher |
| Modifier and Type | Method and Description |
|---|---|
(package private) ServerEndpoint.ListenHandle |
SslServerEndpointImpl.SslListenEndpoint.createListenHandle(RequestDispatcher requestDispatcher,
ServerSocket serverSocket)
Creates a listen handle for the specified dispatcher and server
socket.
|
(package private) ServerEndpoint.ListenHandle |
HttpsServerEndpoint.HttpsServerEndpointImpl.HttpsListenEndpoint.createListenHandle(RequestDispatcher requestDispatcher,
ServerSocket serverSocket) |
(package private) void |
SslServerEndpointImpl.SslListenHandle.handleConnection(SslServerEndpointImpl.SslServerConnection connection,
RequestDispatcher requestDispatcher)
Handles a newly accepted server connection.
|
(package private) void |
HttpsServerEndpoint.HttpsServerEndpointImpl.HttpsListenHandle.handleConnection(SslServerEndpointImpl.SslServerConnection connection,
RequestDispatcher requestDispatcher) |
ServerEndpoint.ListenHandle |
SslServerEndpointImpl.SslListenEndpoint.listen(RequestDispatcher requestDispatcher) |
| Constructor and Description |
|---|
HttpsServerEndpoint.HttpsServerEndpointImpl.HttpServer(Socket socket,
RequestDispatcher requestDispatcher,
HttpsServerEndpoint.HttpsServerEndpointImpl.HttpsServerConnection connection) |
HttpsServerEndpoint.HttpsServerEndpointImpl.HttpsListenHandle(RequestDispatcher requestDispatcher,
ServerSocket serverSocket) |
HttpsServerEndpoint.HttpsServerEndpointImpl.HttpsRequestDispatcher(RequestDispatcher requestDispatcher,
HttpsServerEndpoint.HttpsServerEndpointImpl.HttpsServerConnection connection) |
SslServerEndpointImpl.SslListenHandle(RequestDispatcher requestDispatcher,
ServerSocket serverSocket)
Creates a listen handle
|
| Modifier and Type | Field and Description |
|---|---|
private RequestDispatcher |
TcpServerEndpoint.LH.requestDispatcher |
| Modifier and Type | Method and Description |
|---|---|
ServerEndpoint.ListenHandle |
TcpServerEndpoint.LE.listen(RequestDispatcher requestDispatcher) |
| Constructor and Description |
|---|
TcpServerEndpoint.LH(RequestDispatcher requestDispatcher,
ServerSocket serverSocket,
SecurityContext securityContext,
ServerEndpoint.ListenCookie cookie) |
Copyright 2007-2013, multiple authors.
Licensed under the Apache License, Version 2.0, see the NOTICE file for attributions.


[This is provided courtesy of Steve Dyer, but unless otherwise noted, the comments are directly from the promotional flyer. While most people can't get to the Festival, the descriptions and comments are worth providing, as many of these films have not been reviewed elsewhere. -Moderator]
4th Annual Boston Gay & Lesbian Film Festival Schedule Provided by Steve Dyer
Date Title
Fri 4/29 VERA (Brazil) Sat 4/30 Gender bending is taken to extremes unimagined as director Sergio Toledos guides the stunning Beatriz Nogueria (1987 Berlin Film Festival WInner for Best Actress) in this story of a young woman who wants to reinvent herself, literally, as a man. Lesbianism is the norm in the orphanage where this 18-year-old Brazilian Butch Baby with an eat-your-heart-out- Anne-Murray haircut claims to be a man, but her lover, Clara (Aida Leiver), another orphan, insists they be equal as women-- "If I wanted a man I could have one!" Boston premiere.
THE MAGIC GARDEN OF STANLEY SWEETHEART (USA 1970) Visualize this: it's 1970, and a very fey bleached blond Don Johnson is seduced by a 250-pound Holly Near while photographing her nude in an underground movie called MASTURBATION! Gay comic Michael Greer costars in this bizarre coming-of-age-as-a- hippy comedy that has more nudity and dirty language than any average Russ Meyer X-rated. It all reaches a "climax" when our swishy Don leaves our hefty Holly and takes up with 2 cheerful Lesbians in an East Village menage-a-trois! If you don't believe this (and I don't blame you) this resurrected oddity will play midnight Friday April 29th and Saturday April 30th. Be the first one on your block to see Holly Near bottoms-up in a bathtub. Special Gay Rediscovery.
Sun 5/1 RIGHTS AND REACTIONS (USA) Mon 5/2 Our rights are on trial in this vivid and funny documentary Tue 5/3 that shows both sides of an inflammatory issue. Against the backdrop of the AIDS crisis, a debate rages in the New York City Council hearing of the Gay Rights Bill. This brilliantly edited footage of the actual arguments should be seen by every one of our Massachusetts politicians. RIGHTS AND REACTIONS is an historical microcosm revealing the full-scale controversies and convictions of both sides of the lesbian and gay rights issue in America. Hilarious, saddening and incredibly touching. Written by Jane Lipman and Phil Zinicker. Boston premiere.
 "Halloweenie" gives new meaning to "trick or treat." Boston premiere.
NOT ALL PARENTS ARE STRAIGHT (USA) Of the estimated 22 million homosexuals in this country, there are 4-5 million Gay and Lesbian parents with anywhere from 8-10 million children. The stigma against homosexuality in our society forces many Gay parents and their children into secrecy. By turns moving and humorous, the interviews in NOT ALL PARENTS ARE STRAIGHT invite the viewer into the homes and lives of those families as we encounter the emotional conflicts, legal custody problems and social discrimination these families must endure. The amount of love and support in these homes is an inspiration to any family unit. Boston premiere. [Dyer--this had been shown on WGBH, Boston's PBS Station last year.]
 As these two desperate characters struggle for love, power and survival, the distinctions between good and bad, gay and straight, masculine and feminine disappear in this exciting suspense film that accepts its character of homosexuality with nonchalance that is truly liberating. Directed by Yves Simoneau. French with English subtitles. Boston premiere.
JE TU IL ELLE (Belgium, 1973) Controversial woman director Chantal Ackerman's JE TU IL ELLE has been the scandal of many an alternative film festival: Women's, French, Psychoanalytic, autobiographical, but it most appropriately belongs in a *gay* film festival, and we are proud to be showing it in that context for the first time in the Boston area.  Boston premiere.
Wed 5/4 MY LIFE FOR ZARAH LEANDER (FRG) Thu 5/5 Zarah, the great musical star of Nazi Germany, has not been discovered by American audiences, but her legend echoes those we know very well--Garland, Piaf, Dietrich, Gay icons all. We see Zarah through the eyes of Paul Seiter, her most devoted, some say obsessed, devotee, and in him we may see ourselves as the ardent fans who create our own legends from our own dreams. Boston premiere. [Moderator's note--this was reviewed by Manavendra Thakur last year.]
BURROUGHS (USA 1984) The details of Burroughs' scandalous life are all available here; the shooting of his wife in a drunken William Tell stunt, an affair with Allan Ginsberg, heroin addiction and the literary acclaim that came late in life.
 An-Ching is being disowned by his family for being gay and is given shelter along with other "strong young men" by an older man. There he finds a dangerous love with Wang Kei-Lung, a sexy but violent youngster who has killed his previous lover. Based on a popular novel by Shaung Yeoung, the brilliant film offers a rare and revealing look at the gay life in an Asian culture. In Chinese with English subtitles. East Coast premiere.
NIGHT ZOO (Canada) The winner of 13 Genie awards (the Canadian Academy Award) including Best Picture, Best Director, Best Actor and Best Screenplay. This darkly stylish tale of an ex-convict's attempt to reestablish a relationship with his dying father while inhabiting the Montreal underground of Gay leather bars is a wild mix of LIES MY FATHER TOLD ME and an S&M DIVA. The combination of sentiment and eroticism adds an emotional jolt to our handsome young hero's compulsive search for sex while still yearning to connect with his past. Directed by Jean-Claude Lauzon. French with English subtitles. Boston premiere.
Fri 5/6 MY LIFE FOR ZARAH LEANDER BURROUGHS THE OUTSIDERS VERA
Sat 5/7 THE OUTSIDERS VERA
Sun 5/8 NIGHT ZOO
ARIA (International) Calling all Opera Queens! ARIA is *the* event of the season! Haven't you desperately wanted to see your favorite operatic arias presented by a mind-boggling array of the world's greatest directors in a format that MTV would kill for?!?! Imagine Theresa Russell (BLACK WIDOW, INSIGNIFICANCE) in male drag (with a moustache yet) in Nicholas Roeg's mad interpretation of Verdi's UN BALLO IN MASCHERA or Jean-Luc Godard setting Lully's ARMIDE in a Parisian gym while lovingly caressing (with his camera) the oily muscles of nude guys and nude gals. The other eight segments include Ken Russell's TURANDOT and Derek Jarman's LOUISE. The world's greatest music played against a foreground of nudity and sex! What more could you ask? An Adults Only opera film. Boston premiere.
SALOME'S LAST DANCE (UK) Starring Glenda Jackson as Lady Alice, an actress who enacts the usually male role of Herodias in Russell's bizarre imagining of the first staging of Oscar Wilde's famous play. Wilde appears as a character in the film as Russell parallels Wilde's sexual obsession with his young lover (Lord Douglas) with Salome's need for the head of John the Baptist, in what must be this unconventional director's deliriously perverse film yet. Boston premiere.
Mon 5/9 CHUCK SOLOMON: COMING OF AGE (USA) Tue 5/10 A different kind of AIDS story focusing on Chuck Solomon, Wed 5/11 actor, director, and grinding force behind San Francisco's Theater Rhinoceros. The same life-affirming, proudly Gay and courageous approach that Solomon brings to his work carries him in his struggle with AIDS and leaves the viewer sharing his enforcement and hope. This is the best documentary since THE TIMES OF HARVEY MILK. A winner at the recent USA Film Festival in Park City, Utah. Boston premiere.
TOGETHER AND APART (USA) An award-winning avant-garde Gay musical about 2 former college roommates/lovers who meet again 10 years later. The entire cast sings the Stephen Sondheim-like music in bed, across the dinner table and on the road. Directed by Laurie Lyid. Boston premiere.
40 DEUCE (USA 1984) When Alan Bowne's play 40 DEUCE opened off-off-Broadway in 1981, it provided one of the most controversial theater- going experiences of the season. It also introduced a sexy young actor, Kevin Bacon, who subsequently recreated his Obie winning performance for director Paul Morrissey (TRASH, FLESH). In this fascinating excursion into the world of male prostitution, Bacon imbues his role of boy/hustler/pimp with a realism that will shock his teenage admirers. The film co-stars Orson Bean, as the "john" who definitely wants to bring home the Bacon. Unrated, but definitely for adults. Boston premiere.
IN A SHALLOW GRAVE (USA) James Purdy, the author of such homoerotic "cult" novels as EUSTACE CHISHOLM AND THE WORKS and IN THE HOLLOW OF HIS HAND has for the first been filmed in this stunning adaptation of his book, IN A SHALLOW GRAVE. It is as poetic and erotic as any of Purdy's written work and equally drenched with homosexual innuendo. Michael Biehn stars as the disfigured but sexy master of a desolate Southern mansion who manipulates the two young men who serve him as both servants and lovers. Boston premiere.
THU 5/12 NIGHT ZOO ARIA SALOME'S LAST DANCE
Steve Dyer<EMAIL_ADDRESS><EMAIL_ADDRESS>aka {ihnp4,harvard,husc6,linus,ima,bbn,m2c}!spdcc!dyer
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.
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Related links: index of all rec.arts.movies.reviews reviews


Before Change
graph = tf.compat.v1.get_default_graph()
graph_analyzer = graph_tools.InitializableGraphAnalyzer(
graph, raw_features,
[(t, False) for t in six.itervalues(unbounded_raw_features)])
return {
name: feature
for name, feature in six.iteritems(transformed_features)
if graph_analyzer.ready_to_run(feature)
}
else:
After Change
self._v2_saved_model_loader = saved_transform_io_v2.SavedModelLoader(
self.transform_savedmodel_dir)
if (self._v2_saved_model_loader is not None and
not self._v2_saved_model_loader.load_v2_in_compat):
if not drop_unused_features:
tf.compat.v1.logging.warning(
"Unused features are always dropped in the TF 2.x "
"implementation. Ignoring value of drop_unused_features.")
return self._v2_saved_model_loader.apply_transform_model(raw_features)
else:
return self._transform_raw_features_compat_v1(raw_features,
drop_unused_features)
def _transform_raw_features_compat_v1(self, raw_features,
drop_unused_features):
Takes a dict of tensors representing raw features and transforms them.
unbounded_raw_features, transformed_features = (


BinToText16 Sample Program
AlazarTech SDK version 5.8.2
© 2010 Alazar Technologies, Inc.
This utility program converts binary files to text files. It takes as its input a binary file containing two bytes per sample value, such as the sample values from an ATS310, ATS330, ATS460, ATS660, ATS9350, and ATS9462. And it outputs text with one with one sample value per line. This output can be redirected to a text file, and the text file can be opened in a text editor, spreadsheet programs, or other application that works with such files.
To convert a binary file “data.bin” with one byte per sample to a text file “data.txt” with one sample per line, type the following at a command prompt:
BinToText16
data.bin > data.txt
Microsoft Visual C++ 6 or Microsoft Visual C++ 2008 is required to build this C/C++ sample program. The sample includes a Visual C++ 6 workspace file for 32-bit platforms, and Visual C++ 2008 solution file for 32- and 64-bit platforms.
· Open the “BinToText16.dsw” project workspace in the sample directory.
· Select “Build | Set Active Configuration” menu command to display the “Select Active Project Configuration” dialog box, and select the “Debug” build or “Release” build as required.
· Select the “Build | Build BinToText16” command to build the sample program.
If a build succeeds, it creates one of the following executables:
|
Debug |
Debug\BinToText16.exe |
|
Release |
Release\BinToText16.exe |
Microsoft Visual C++ 2008
· Open the “BinToText16.sln” solution in the sample directory.
· Select the “Build | Configuration Manager” to display the “Configuration Manager” dialog and select the desired configuration and platform.
· Select the “Build | Build Solution” command to build the sample program.
If a build succeeds, it creates one of the following executables:
|
32-bit Debug |
Win32\Debug\BinToText16.exe |
|
32-bit Release |
Win32\Release\BinToText16.exe |
|
64-bit Debug |
x64\Debug\BinToText16.exe |
|
64-bit Release |
x64\Release\BinToText16.exe |
If you have any questions or comments, or need assistance, contact us.
|
Web |
|
|
|
|
|
Phone |
514-426-4899 |
|
Fax |
514-426-2723 |
|
|
Alazar Technologies Inc. 6600 Trans-Canada Highway, Suite 310 Pointe-Claire, QC Canada H9R 4S2 |


Research
The research tree comprises the set of "topics" that can be researched.
Each topic is made of:
- Prerequisites - conditions that must be satisfied before the project can start
- Cost (Person days) of research required
- Grants - what player gets for researching the topic
The basic types of prerequisite conditions are:
- Having completed a specific research topic.
- Having access to a specific a X-Net entry. (That is not necessarily true as every topic has a reference in the XNET, you can think of it as a root with automatic unlocking and the rest depends on the attached grant ).
- Having a specific type of artefact in a base's store. (Dead aliens are artefacts too).
- Having a specific type of captured alien (species and rank) in a base.
- Having ability to build a specific base facility.
Additional notes
- Also, the prerequisite conditions for a project may be satisfied by a combination of "basic prerequisites." For example, having any one of a set of requirements. (e.g. Leader integration can be satisfied by having one of several species of leader.) Or requiring all requirements of the set. (E.g. Alien goal) Or a combination of the above.
- Also, some topics are automatically granted at the start of the game. This gives player access to the starting technologies.
- Some topics don't need to be researched, they're automatically granted when all prerequisites have been satisfied. (E.g. The GAIA X-CAP becomes available as soon as the Eclipse and Gaia missiles have been researched.) This is indicated in the XML file with a time of 0. This is a special corner case that can be handled directly by a grant.
- If a project has an item as a prerequisite, one instance of the item is consumed by the project.
- If a project has a combatant as a prerequisite, the combatant is "consumed" by the project.
Types of grants:
- A new research project.
- Add an entry to X-Net.
- Unlock ability to build and use an item.
- Unlock ability to build a base facility
Additional notes
- A project may have a set of things it can "grant". It will grant either all items in the set or only one randomly chosen item from the set.
- If a project can grant "Any one of" the grants in a set, then the project can be researched multiple times, with each time giving a different grant, until all topics have been unlocked.
Additionally, we need sanity checks against the research tree. Especially, as users are supposed to be able to alter the tree. Tests we must do are:
- Making sure that every item (in items.xml) can be granted by one or more research projects.
- Making sure that every X-Net entry can be granted by one or more research projects.
- Making sure that there are no research topics that are inaccessible. (E.g. a topic depends on another topic that isn't in the tree, or a there's a loop in the prerequisites. E.g. Topic "A" has Topic "B" as a prereq, but "B" has "A" as a prereq, or even deeper trees)
The classes making up research are:
Technology represents a technology that X-Corp can have access to. It's really nothing more than an identifier for a technology.
ResearchTopic represents something that X-Corp can study. Note, tracking the actual studying of a topic is not done by a ResearchTopic itself.
That's done by a ResearchProject. (More on that later) The main properties of a topic are:
- The prerequisites that must be satisfied before a topic can be researched.
- The reward that will be granted once a topic has been researched.
- The time required to research a project.
ResearchReward represents the reward X-Corp will receive if a topic is researched. Essentially it's a list of technologies and a boolean flag indicating if all technologies in the list will be granted, or just one.
If just one, then the topic can be researched multiple times until all technologies have been received.
Prerequisite is an abstract class, representing a requirement that must be satisfied for a topic to be researched:
- ItemPrerequisite is a single artefact that must be in X-Corp's possession before. Note that an alien prisoner is just another type of artefact.
- TechnologyPrerequisite is a single technology that must be available to X-Corp.
- MultiPrerequisite is a set of prerequisite conditions that must be satisfied.
The boolean "allOf" is used to indicate if all of the prerequisites in the set must be satisfied for the MultiPrerequisite to be satisfied, or if just satisfying one will be sufficient.
Note that it's possible to nest multiprerequisites. That is, a Multiprerequisite can contain other multiprerequisites in its set of prerequisites.
The classes involed in project management are:
Project Base class for a Research or Manufacturing project. It's responsible for tracking the people assigned to the project, and the project's progress towards completion
Major points of note are the presence of an appointment, and an update() function. The appointment goes into the scheduler to signal when the project should be finished.
However, it's possible for the player to alter the number of workers assigned to a project. When this happens, update() is called to update the projects progress up to that point
so that the new end appointment can be set using the new set of workers.
ResearchProject obviously, researching a Research Topic.
BuildProject Manufacturing items in a base.
ProjectManager Really, this is nothing more than a collection of projects.
ResearchProjectManager A collection of ResearchProjects. In reality, X-Corp owns the single instance of this class, which is a list of the Topics X-Corp is currently researching.
BuildProjectManager A collection of BuildProjects. Each X-Corp Outpost owns an instance of this class, which is a list of the items (NOT facilities) being constructed in the outpost.


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{%extends "base.html" %} {%block title%}Conference Registration - {{conference}}{%endblock%} {%block extrahead%} {%endblock%} {%block content%}
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CIFXSubdivModifier Class ReferenceInheritance diagram for CIFXSubdivModifier:
List of all members.
|
Public Member Functions |
| U32 IFXAPI | AddRef () |
| U32 IFXAPI | Release () |
| IFXRESULT IFXAPI | QueryInterface (IFXREFIID riid, void **ppv) |
| void IFXAPI | GetEncoderX (IFXEncoderX *&rpEncoderX) |
| IFXRESULT IFXAPI | GetOutputs (IFXGUID **&rpOutOutputs, U32 &rOutNumberOfOutputs, U32 *&rpOutOutputDepAttrs) |
| IFXRESULT IFXAPI | GetDependencies (IFXGUID *pInOutputDID, IFXGUID **&rppOutInputDependencies, U32 &rOutNumberInputDependencies, IFXGUID **&rppOutOutputDependencies, U32 &rOutNumberOfOutputDependencies, U32 *&rpOutOutputDepAttrs) |
| IFXRESULT IFXAPI | GenerateOutput (U32 inOutputDataElementIndex, void *&rpOutData, BOOL &rNeedRelease) |
| IFXRESULT IFXAPI | SetDataPacket (IFXModifierDataPacket *pInInputDataPacket, IFXModifierDataPacket *pInDataPacket) |
| IFXRESULT IFXAPI | Notify (IFXModifierMessage eInMessage, void *pMessageContext) |
| virtual IFXRESULT IFXAPI | GetEnable (BOOL *pbEnable) |
| virtual IFXRESULT IFXAPI | SetEnable (BOOL bEnable) |
| virtual IFXRESULT IFXAPI | GetDepth (U32 *pDepth) |
| virtual IFXRESULT IFXAPI | SetDepth (U32 depth) |
| virtual IFXRESULT IFXAPI | GetTension (F32 *pTension) |
| virtual IFXRESULT IFXAPI | SetTension (F32 tension) |
| virtual IFXRESULT IFXAPI | GetError (F32 *pError) |
| virtual IFXRESULT IFXAPI | SetError (F32 error) |
| virtual IFXRESULT IFXAPI | GetAdaptive (BOOL *pbAdaptive) |
| virtual IFXRESULT IFXAPI | SetAdaptive (BOOL bAdaptive) |
Private Member Functions |
| | CIFXSubdivModifier () |
| virtual | ~CIFXSubdivModifier () |
| IFXRESULT | InitializeSubdiv (IFXMeshGroup *pMeshGroup, IFXNeighborMesh *pNeighborMesh) |
| IFXRESULT | DataChanged (IFXMeshGroup *pMeshGroup) |
| U32 | CalculateSafeDepth () |
| void | ResetInitData () |
Private Attributes |
| U32 | m_uRefCount |
| U32 | m_uMeshGroupDataElementIndex |
| U32 | m_uNeighborMeshDataElementIndex |
| U32 | m_uFrustumDataElementIndex |
| U32 | m_uTransformDataElementIndex |
| IFXSubdivisionManager * | m_pSubdivMgr |
| IFXScreenSpaceMetric * | m_pScreenSpaceMetric |
| IFXSubdivInitData | m_InitData |
| BOOL | m_bEnabled |
| BOOL | m_bFaceDataChanged |
| BOOL | m_bOtherDataChanged |
| U32 * | m_puOtherChangeCounts |
| U32 * | m_puFaceChangeCounts |
Static Private Attributes |
| static const IFXDID * | m_scpOutputDIDs [] |
| static const IFXDID * | m_scpInputDIDs [] |
Friends |
| IFXRESULT IFXAPI_CALLTYPE | CIFXSubdivModifier_Factory (IFXREFIID iid, void **ppv) |
Constructor & Destructor Documentation
| CIFXSubdivModifier::CIFXSubdivModifier |
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) |
[private] |
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| CIFXSubdivModifier::~CIFXSubdivModifier |
( |
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) |
[private, virtual] |
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Member Function Documentation
| U32 CIFXSubdivModifier::AddRef |
( |
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) |
[virtual] |
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This method increments the reference count for an interface on a component.
- Note:
- It should be called for every new copy of a pointer to an interface on a given component.
- Returns:
- It returns a U32 that contains a value from 1 to 2^32 - 1 that defines the new reference count. The return value should only be used for debugging purposes.
Implements IFXUnknown. |
| U32 CIFXSubdivModifier::CalculateSafeDepth |
( |
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) |
[private] |
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| IFXRESULT CIFXSubdivModifier::DataChanged |
( |
IFXMeshGroup * |
pMeshGroup |
) |
[private] |
|
| IFXRESULT CIFXSubdivModifier::GenerateOutput |
( |
U32 |
inOutputDataElementIndex, |
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void *& |
rpOutData, |
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BOOL & |
rNeedRelease |
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) |
[virtual] |
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| IFXRESULT CIFXSubdivModifier::GetAdaptive |
( |
BOOL * |
pbAdaptive |
) |
[virtual] |
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This method returns the value of the adaptive flag.
- Parameters:
-
| pbAdaptive | A BOOL pointer indicating the state of the adaptive flag. |
- TRUE - Adaptive subdivision is enabled.
- FALSE - Uniform subdivision is enabled.
- Returns:
- IFXRESULT
- IFX_OK - No Error.
- IFX_E_NOT_INITIALIZED - Bad value of passed in pointer.
Implements IFXSubdivModifier. |
| IFXRESULT CIFXSubdivModifier::GetDependencies |
( |
IFXGUID * |
pInOutputDID, |
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IFXGUID **& |
rppOutInputDependencies, |
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U32 & |
rOutNumberInputDependencies, |
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IFXGUID **& |
rppOutOutputDependencies, |
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U32 & |
rOutNumberOfOutputDependencies, |
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U32 *& |
rpOutOutputDepAttrs |
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) |
[virtual] |
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Hands back the list of input DataElements and the list of output DataElements, by which, the result of the specified pInOutputDID is determined.
- Parameters:
-
| pInOutputDID | One of the Modifier's output DIDs in the list handed back from GetOutputs(). |
| rppOutInputDependencies | The pointer to contain the address of the list of input DIDs, by which, the specified output is determined. |
| rOutNumberInputDependencies | The U32 to contain the number of GUIDs in rppOutInputDependencies. |
| rppOutOutputDependencies | The pointer to contain the address of the list related output DIDs. |
| ruOutNumberOfOutputDependencies | The U32 to contain the number of GUIDs in rppOutOutputDependencies. |
- Returns:
- Upon success, IFX_OK is returned.
- Note:
- The Modifier is responsible for the lifetime of the list.
Implements CIFXModifier. |
| IFXRESULT CIFXSubdivModifier::GetDepth |
( |
U32 * |
pDepth |
) |
[virtual] |
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This method returns the current subdivision depth.
- Parameters:
-
| pDepth | A U32 pointer indicating the depth. |
- Returns:
- IFXRESULT
- IFX_OK - No Error.
- IFX_E_NOT_INITIALIZED - Bad value of passed in pointer.
Implements IFXSubdivModifier. |
| IFXRESULT CIFXSubdivModifier::GetEnable |
( |
BOOL * |
pbEnable |
) |
[virtual] |
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This method returns the value of the enabled flag.
- Parameters:
-
| pbEnable | A BOOL pointer indicating the state of the enabled flag. |
- TRUE - The modifier is enabled.
- FALSE - The modifier is disabled.
- Returns:
- IFXRESULT
- IFX_OK - No Error.
- IFX_E_NOT_INITIALIZED - Bad value of passed in pointer.
Implements IFXSubdivModifier. |
| void CIFXSubdivModifier::GetEncoderX |
( |
IFXEncoderX *& |
rpEncoderX |
) |
[virtual] |
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Function that hands back the IFXEncoderX interface pointer to a component that can be used to encode this component.
- Parameters:
-
| rpEncoderX | Reference to the encoder's interface pointer that will be set to a valid value upon success. |
Implements IFXMarkerX. |
| IFXRESULT CIFXSubdivModifier::GetError |
( |
F32 * |
pError |
) |
[virtual] |
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This method returns the current error in the screen space metric.
- Parameters:
-
| pError | A F32 pointer indicating the error. |
- Returns:
- IFXRESULT
- IFX_OK - No Error.
- IFX_E_NOT_INITIALIZED - Bad value of passed in pointer.
Implements IFXSubdivModifier. |
| IFXRESULT CIFXSubdivModifier::GetOutputs |
( |
IFXGUID **& |
rpOutOutputs, |
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U32 & |
rOutNumberOfOutputs, |
|
|
U32 *& |
rpOutOutputDepAttrs |
|
) |
[virtual] |
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Hands back a pointer to the list of DIDs that the Modifier will add or change.
- Parameters:
-
| rpOutOutputs | The pointer to contain the address of the consecutive list of resultant DataElement GUID pointers. |
| rOutNumberOfOutputs | The U32 to contain the number of GUIDs in the rpOutOutputs. |
| rpOutUnchangedOutputAttrs | The array of U32 attributes which were not changed. |
- Returns:
- Upon success, IFX_OK is returned. Otherwise, one of the following failures are returned: IFX_E_OUT_OF_MEMORY.
- Note:
- This method can be used before, and after, the Modifier is initialized.
The Modifier is responsible for the lifetime of the list.
Implements CIFXModifier. |
| IFXRESULT CIFXSubdivModifier::GetTension |
( |
F32 * |
pTension |
) |
[virtual] |
|
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|
This method returns the current subdivision tension.
- Parameters:
-
| pTension | A F32 pointer indicating the tension. |
- Returns:
- IFXRESULT
- IFX_OK - No Error.
- IFX_E_NOT_INITIALIZED - Bad value of passed in pointer.
Implements IFXSubdivModifier. |
| IFXRESULT CIFXSubdivModifier::Notify |
( |
IFXModifierMessage |
eInMessage, |
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void * |
pMessageContext |
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) |
[virtual] |
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| IFXRESULT CIFXSubdivModifier::QueryInterface |
( |
IFXREFIID |
riid, |
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void ** |
ppv |
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) |
[virtual] |
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This method provides access to the various interfaces supported by a component.
Upon success, it increments the component's reference count and hands back a pointer to the specified interface.
- Note:
- A number of rules must be adhered to by all implementations of IFXAPI QueryInterface . For a list of such rules, refer to the IFXCOM usage guidelines.
- Returns:
- Upon success, IFX_OK is returned. Otherwise, either IFX_E_INVALID_POINTER or IFX_E_UNSUPPORTED are returned.
Implements IFXUnknown. |
| U32 CIFXSubdivModifier::Release |
( |
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) |
[virtual] |
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This method decrements the reference count for the calling interface on a component.
- Note:
- If the reference count on a component falls to zero, the component is destroyed.
- Returns:
- It returns a U32 that contains a value from 1 to 2^32 - 1 that defines the new reference count. The return value should only be used for debugging purposes.
Implements IFXUnknown. |
| void CIFXSubdivModifier::ResetInitData |
( |
|
) |
[private] |
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| IFXRESULT CIFXSubdivModifier::SetAdaptive |
( |
BOOL |
bAdaptive |
) |
[virtual] |
|
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This method sets the value of the adaptive flag.
- Parameters:
-
| bAdaptive | A BOOL indicating the state of the adaptive flag. |
- TRUE - Enable adaptive subdivision.
- FALSE - Disable uniform subdivision.
- Returns:
- IFXRESULT
Implements IFXSubdivModifier. |
|
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Associates a new DataPacket with the Modifier.
- Precondition:
- None.
- Postcondition:
- The provided DataPacket is associated with the Modifier. If the Modifier was already associated with a DataPacket, it is first released.
- Parameters:
-
| pInDataPacket | The incoming IFXDataPacket That will provide input to the modifier chain. |
| pInDataPacket | The incoming IFXDataPacket to be associated with the Modifier. |
- Returns:
- Upon success, IFX_OK is returned. Otherwise, one of the following failures are returned: IFX_E_OUT_OF_MEMORY.
Implements CIFXModifier. |
| IFXRESULT CIFXSubdivModifier::SetDepth |
( |
U32 |
depth |
) |
[virtual] |
|
|
|
This method sets the subdivision depth.
- Parameters:
-
| depth | A U32 indicating the depth. |
- Returns:
- IFXRESULT
Implements IFXSubdivModifier. |
| IFXRESULT CIFXSubdivModifier::SetEnable |
( |
BOOL |
bEnable |
) |
[virtual] |
|
|
|
This method sets the value of the enabled flag.
- Parameters:
-
| bEnable | A BOOL pointer indicating the state of the enabled flag. |
- TRUE - Enabled the modifier.
- FALSE - Disable the modifier.
- Returns:
- IFXRESULT
Implements IFXSubdivModifier. |
| IFXRESULT CIFXSubdivModifier::SetError |
( |
F32 |
error |
) |
[virtual] |
|
|
|
This method sets the error in the screen space metric.
- Parameters:
-
| error | A F32 indicating the error. |
- Returns:
- IFXRESULT
Implements IFXSubdivModifier. |
| IFXRESULT CIFXSubdivModifier::SetTension |
( |
F32 |
tension |
) |
[virtual] |
|
|
|
This method sets the subdivision tension.
- Parameters:
-
| tension | A F32 indicating the tension. |
- Returns:
- IFXRESULT
Implements IFXSubdivModifier. |
Friends And Related Function Documentation
| IFXRESULT IFXAPI_CALLTYPE CIFXSubdivModifier_Factory |
( |
IFXREFIID |
iid, |
|
|
void ** |
ppv |
|
) |
[friend] |
|
Member Data Documentation
|
|
Initial value:
{
&DID_IFXRenderableGroup,
&DID_IFXNeighborMesh,
&DID_IFXTransform,
&DID_IFXFrustum,
}
|
|
|
Initial value:
{
&DID_IFXRenderableGroup
}
|
© 1999 - 2006 Intel Corporation. All rights reserved.
* Other names and brands may be claimed as the property of others.
|
|


{% extends 'generic/bulk_delete.html' %} {% block message_extra %}
This will also delete all child inventory items of those listed.


Repayment Strategy
Repayment
Amortization
Interest
Grace: On Principle Payment
Grace: On Interest Payment
Grace: On Arrear Ageing
Fund Source
Interest Free Period
Interest Calculation Period
Allow Partial Interest Calcualtion With Same As Repayment
Interest Type
Recalculate Interest
Submitted On
Approved On
Disbursed On
Mature On
Day In Month
Day In Year


All touch events
Allow scrolling
Single tap only
All touch events
- Container that captures all touch events.
- Prevents default on touchmove, disabling scrolling.
- Captures swipes in all directions.
- Captures tap, singleTap (after delay), doubleTap, longTap
Allow scrolling
- Container that allows scrolling while capturing all events except swipes in the direction of scroll
- Prevents default on touchmove, disabling scrolling.
- Captures swipes in all directions.
- Captures tap, singleTap (after delay), doubleTap, longTap
Single tap only
- Container that allows scrolling and captures only simple, single taps. eg: a button or a tappable list item
- Cancels touch after tap, disabling other touch events (singleTap, doubleTap)
- Captures tap


SEE YOU IN THE MORNING A film review by Mark R. Leeper Copyright 1989 Mark R. Leeper
Capsule review: At last we are starting to see three- dimensional people with genuine problems returning to films. SEE YOU IN THE MORNING overcomes some narrative problems to tell a believable slice-of-life story. Rating: low +2.
Fifteen years ago there were a lot of films like SEE YOU IN THE MORNING. Three years ago it was much more of a rarity, at least from United States films. Now, knock wood, we are starting to see a few more films from the American film industry that admit there are problems in life that cannot be solved by a karate kick, by a machine gun, or by winning the big race or a dance competition. I have to admit to being partial toward the former sort of film since none of my problems ever seem amenable to the latter sorts of solutions. SEE YOU IN THE MORNING is about re-marriage--not actually one of my problems, thank God. It is about the strains that frustrate second marriages. The principal characters here are not real people--the widow of a famous concert pianist, the ex-husband of a famous covergirl--but they are real-ish.
The story is somewhat convoluted. It begins by showing two marriages with problems starting, then jumps forward three years to when Beth, the wife from one marriage, is marrying Larry, the husband from the other. Then for 45 minutes or so flashbacks fill the audience in on the interim, then the film continues linearly. This disorients the viewer, who is not always sure when a scene is taking place. Larry meets Beth at a party and discovers all they have in common. To start with, they each have a headache. About a third of the film is spent showing how Larry courts Beth, as often as not with cockeyed stunts. Then the film gets down to the serious question of whether a man can be grafted onto a family that has lost a father. We see this question from almost every aspect and angle, making one wonder if writer/director Alan Pakula has not actually been through it all. We see the jealousy of the previous spouses, we see how the children react to the step-father, we see the half-hidden urge to return to former spouses. While some of the stunts early on seem a little stagey, for most of the film the characters behave in very human ways. You see warm human moments, and cold spiteful ones.
Larry, a successful psychiatrist played by Jeff Bridges, does his earnest best to overcome rejection by his second family. Not everything works for him the way it does in the movies. He makes mistakes with the best of intentions sometimes. Alice Krige plays Beth. She may be a little glamorous as a photographer who gets offered trips to Russia and who always looks like Candice Bergen at her best. Around them are a collection of people well-drawn and each unique. This one is worth seeing. I give it a low +2 on the -4 to +4 scale.
Mark R. Leeper att!mtgzz!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
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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
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Related links: index of all rec.arts.movies.reviews reviews


Dave knows human languages
Dave is learning computer languages
Follow along!
To help remember the syntax of nested data structures and FOR, WHILE and IF~ELSE.
A sentence or two about the project.
A sentence or two about the project.
A sentence or two about the project.
A sentence or two about the project.
A sentence or two about the project.
A sentence or two about the project.


PearlEdit is a live WYSIWYG layout editor that allows for in-browser customization while guaranteeing responsive themes. The goal of PearlEdit is to give developers who do not have a knack for design an easy way to produce beautiful layouts. PearlEdit was a project that I initialized as an intern on the YUI team at Yahoo during the summer of 2013. The Pure CSS framework was released on the first day of my internship, and I was amazed of its ability to allow developers to rapidly create responsive themes. I wanted to create a project that capitalizes on that ability as well as promote its existance.
The intent of PearlEdit's user experience was to give users the ability to design a layout directly as it would appear, live in the browser. I wanted to provide editing tools that are made from a user interface designer's perspective such as premade slideshows, forms, color palettes, and icons. Overall, the hope is for PearlEdit to enable users to choose premade responsive themes with the proper tools that will give non-designers the power to generate beautiful interfaces.


R/run_paramedic.R
run_paramedic.Rd
Estimate concentrations (and efficiencies, if applicable) by combining absolute and relative abundance data.
run_paramedic( W, V, X = V[, 1, drop = FALSE], k = 0, n_iter = 10500, n_burnin = 10000, n_chains = 4, stan_seed = 4747, centered = FALSE, inits_lst = NULL, sigma_beta = sqrt(50), sigma_Sigma = sqrt(50), alpha_sigma = 2, kappa_sigma = 1, alpha_phi = 0, beta_phi = 0, sigma_xi = 1, ... )
| W | The relative abundance data, e.g., from broad range 16S sequencing with "universal" primers. Expects data (e.g., matrix, data.frame, tibble) with sample identifiers in the first column. Sample identifiers must be the same between W and V, and the column must have the same name in W and V. |
|---|---|
| V | The absolute abundance data, e.g., from taxon-specific absolute primers. Expects data (e.g., matrix, data.frame, tibble) with sample identifiers in the first column. Sample identifiers must be the same between W and V, and the column must have the same name in W and V. |
| X | The covariate data. Expects data (e.g., matrix, data.frame, tibble) with sample identifiers in the first column. Sample identifiers must be the same between W, V, and X, and the column must have the same name in W, V, and X. If X only consists of the subject identifiers, then no covariates are used. |
| k | the number of batches that the relative abundance data W were analyzed in. If k = 0 (the default), then batch effects are not considered. |
| n_iter | The total number of iterations per chain to be run by the Stan algorithm. Defaults to 10500. |
| n_burnin | The total number of warmups per chain to be run by the Stan algorithm. Defaults to 10000. |
| n_chains | The total number of chains to be run by the Stan algorithm. Defaults to 4. |
| stan_seed | The random number seed to initialize. |
| centered | If |
| inits_lst | An optional list of initial values of the parameters. Must be a named list; see |
| sigma_beta | Hyperparameter specifying the prior variance on \(\beta_0\). Defaults to \(\sqrt{50}\). |
| sigma_Sigma | Hyperparameter specifying the prior variance on \(\Sigma\). Defaults to \(\sqrt{50}\). |
| alpha_sigma | Hyperparameter specifying the shape parameter of the prior distribution on \(\sigma_e\). Defaults to 2. |
| kappa_sigma | Hyperparameter specifying the scale parameter of the prior distribution on \(\sigma_e\). Defaults to 1. |
| alpha_phi | Hyperparameter specifying the shape parameter of the prior distribution on \(\phi\). Defaults to 0; a negative binomial model can be specified if both |
| beta_phi | Hyperparameter specifying the rate parameter of the prior distribution on \(\phi\). Defaults to 0; a negative binomial model can be specified if both |
| sigma_xi | Hyperparameters specifying the variance of efficiencies over batches. Only used if |
| ... | other arguments to pass to |
An object of class stanfit
.
We fit a hierarchical model in Stan to the data, with goal to estimate true concentration for all taxa. There are two available hierarchical models. The two only differ in the way that the true concentration is parameterized. While these hierarchical models are mathematically identical, they are fit differently by Stan. The first hierarchical model is a "centered" model, where $$\beta_0 ~ N(0, \sqrt{50})$$ $$\log \Sigma ~ N(0, \sqrt{50})$$ $$\log \mu ~ N(\beta_0 + X\beta_1, \Sigma).$$ We call this model variable_efficiency_centered.stan
. The second hierarchical model is a "noncentered" model, where $$\beta_0 ~ N(0, \sqrt{50})$$ $$\log \Sigma ~ N(0, \sqrt{50})$$ $$\log \gamma ~ N(0, I)$$ $$\log \mu = \sqrt{\Sigma} \log \gamma + \beta_0 + X\beta_1.$$ We call this model variable_efficiency.stan
.
In most cases, we suggest using the noncentered model. However, if the model does not converge in a reasonable amount of time using the noncentered model, consider trying the centered model.
# load the package, read in example data library("paramedic") data(example_16S_data) data(example_qPCR_data) # run paramedic (with an extremely small number of iterations, for illustration only) # on only the first 10 taxa mod <- run_paramedic(W = example_16S_data[, 1:10], V = example_qPCR_data, n_iter = 30, n_burnin = 25, n_chains = 1, stan_seed = 4747)#> #> SAMPLING FOR MODEL 'variable_efficiency' NOW (CHAIN 1). #> Chain 1: #> Chain 1: Gradient evaluation took 7.4e-05 seconds #> Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.74 seconds. #> Chain 1: Adjust your expectations accordingly! #> Chain 1: #> Chain 1: #> Chain 1: WARNING: There aren't enough warmup iterations to fit the #> Chain 1: three stages of adaptation as currently configured. #> Chain 1: Reducing each adaptation stage to 15%/75%/10% of #> Chain 1: the given number of warmup iterations: #> Chain 1: init_buffer = 3 #> Chain 1: adapt_window = 20 #> Chain 1: term_buffer = 2 #> Chain 1: #> Chain 1: Iteration: 1 / 30 [ 3%] (Warmup) #> Chain 1: Iteration: 3 / 30 [ 10%] (Warmup) #> Chain 1: Iteration: 6 / 30 [ 20%] (Warmup) #> Chain 1: Iteration: 9 / 30 [ 30%] (Warmup) #> Chain 1: Iteration: 12 / 30 [ 40%] (Warmup) #> Chain 1: Iteration: 15 / 30 [ 50%] (Warmup) #> Chain 1: Iteration: 18 / 30 [ 60%] (Warmup) #> Chain 1: Iteration: 21 / 30 [ 70%] (Warmup) #> Chain 1: Iteration: 24 / 30 [ 80%] (Warmup) #> Chain 1: Iteration: 26 / 30 [ 86%] (Sampling) #> Chain 1: Iteration: 28 / 30 [ 93%] (Sampling) #> Chain 1: Iteration: 30 / 30 [100%] (Sampling) #> Chain 1: #> Chain 1: Elapsed Time: 0.009137 seconds (Warm-up) #> Chain 1: 0.002225 seconds (Sampling) #> Chain 1: 0.011362 seconds (Total) #> Chain 1:#> Warning: There were 1 chains where the estimated Bayesian Fraction of Missing Information was low. See #> http://mc-stan.org/misc/warnings.html#bfmi-low#> Warning: Examine the pairs() plot to diagnose sampling problems#> Warning: The largest R-hat is 2.5, indicating chains have not mixed. #> Running the chains for more iterations may help. See #> http://mc-stan.org/misc/warnings.html#r-hat


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{% extends 'base.html' %} {% import 'macros.html' as macro%} {% block styles%} {{ super() }} {% endblock %} {% block navbar %}
An application that will help you view various articles and news from different sites.


module Gc: sig .. end
type stat = {
|
minor_words : float; |
(* |
Number of words allocated in the minor heap since
the program was started. This number is accurate in
byte-code programs, but only an approximation in programs
compiled to native code.
| *) |
|
promoted_words : float; |
(* |
Number of words allocated in the minor heap that
survived a minor collection and were moved to the major heap
since the program was started.
| *) |
|
major_words : float; |
(* |
Number of words allocated in the major heap, including
the promoted words, since the program was started.
| *) |
|
minor_collections : int; |
(* |
Number of minor collections since the program was started.
| *) |
|
major_collections : int; |
(* |
Number of major collection cycles completed since the program
was started.
| *) |
|
heap_words : int; |
(* |
Total size of the major heap, in words.
| *) |
|
heap_chunks : int; |
(* |
Number of contiguous pieces of memory that make up the major heap.
| *) |
|
live_words : int; |
(* |
Number of words of live data in the major heap, including the header
words.
| *) |
|
live_blocks : int; |
(* |
Number of live blocks in the major heap.
| *) |
|
free_words : int; |
(* |
Number of words in the free list.
| *) |
|
free_blocks : int; |
(* |
Number of blocks in the free list.
| *) |
|
largest_free : int; |
(* |
Size (in words) of the largest block in the free list.
| *) |
|
fragments : int; |
(* |
Number of wasted words due to fragmentation. These are
1-words free blocks placed between two live blocks. They
are not available for allocation.
| *) |
|
compactions : int; |
(* |
Number of heap compactions since the program was started.
| *) |
|
top_heap_words : int; |
(* |
Maximum size reached by the major heap, in words.
| *) |
|
stack_size : int; |
(* |
Current size of the stack, in words.
Since 3.12.0 | *) |
stat
record.
The total amount of memory allocated by the program since it was started
is (in words) minor_words + major_words - promoted_words
. Multiply by
the word size (4 on a 32-bit machine, 8 on a 64-bit machine) to get
the number of bytes.
type control = {
|
mutable minor_heap_size : int; |
(* |
The size (in words) of the minor heap. Changing
this parameter will trigger a minor collection. Default: 256k.
| *) |
|
mutable major_heap_increment : int; |
(* |
How much to add to the major heap when increasing it. If this
number is less than or equal to 1000, it is a percentage of
the current heap size (i.e. setting it to 100 will double the heap
size at each increase). If it is more than 1000, it is a fixed
number of words that will be added to the heap. Default: 15.
| *) |
|
mutable space_overhead : int; |
(* |
The major GC speed is computed from this parameter.
This is the memory that will be "wasted" because the GC does not
immediatly collect unreachable blocks. It is expressed as a
percentage of the memory used for live data.
The GC will work more (use more CPU time and collect
blocks more eagerly) if
space_overhead is smaller.
Default: 80. | *) |
|
mutable verbose : int; |
(* |
This value controls the GC messages on standard error output.
It is a sum of some of the following flags, to print messages
on the corresponding events:
| *) |
|
mutable max_overhead : int; |
(* |
Heap compaction is triggered when the estimated amount
of "wasted" memory is more than
max_overhead percent of the
amount of live data. If max_overhead is set to 0, heap
compaction is triggered at the end of each major GC cycle
(this setting is intended for testing purposes only).
If max_overhead >= 1000000 , compaction is never triggered.
If compaction is permanently disabled, it is strongly suggested
to set allocation_policy to 1.
Default: 500. | *) |
|
mutable stack_limit : int; |
(* |
The maximum size of the stack (in words). This is only
relevant to the byte-code runtime, as the native code runtime
uses the operating system's stack. Default: 1024k.
| *) |
|
mutable allocation_policy : int; |
(* |
The policy used for allocating in the heap. Possible
values are 0 and 1. 0 is the next-fit policy, which is
quite fast but can result in fragmentation. 1 is the
first-fit policy, which can be slower in some cases but
can be better for programs with fragmentation problems.
Default: 0.
Since 3.11.0 | *) |
control
record. Note that
these parameters can also be initialised by setting the
OCAMLRUNPARAM environment variable. See the documentation of
ocamlrun
.let stat: unit => stat;
stat
record. This function examines every heap block to get the
statistics.let quick_stat: unit => stat;
stat
except that live_words
, live_blocks
, free_words
,
free_blocks
, largest_free
, and fragments
are set to 0. This
function is much faster than stat
because it does not need to go
through the heap.let counters: unit => (float, float, float);
(minor_words, promoted_words, major_words)
. This function
is as fast as quick_stat
.let get: unit => control;
control
record.let set: control => unit;
set r
changes the GC parameters according to the control
record r
.
The normal usage is: Gc.set { (Gc.get()) with Gc.verbose = 0x00d }
let minor: unit => unit;
let major_slice: int => int;
let major: unit => unit;
let full_major: unit => unit;
let compact: unit => unit;
let print_stat: Pervasives.out_channel => unit;
let allocated_bytes: unit => float;
float
to avoid overflow problems
with int
on 32-bit machines.let finalise: ('a => unit, 'a) => unit;
finalise f v
registers f
as a finalisation function for v
.
v
must be heap-allocated. f
will be called with v
as
argument at some point between the first time v
becomes unreachable
and the time v
is collected by the GC. Several functions can
be registered for the same value, or even several instances of the
same function. Each instance will be called once (or never,
if the program terminates before v
becomes unreachable).
The GC will call the finalisation functions in the order of
deallocation. When several values become unreachable at the
same time (i.e. during the same GC cycle), the finalisation
functions will be called in the reverse order of the corresponding
calls to finalise
. If finalise
is called in the same order
as the values are allocated, that means each value is finalised
before the values it depends upon. Of course, this becomes
false if additional dependencies are introduced by assignments.
In the presence of multiple OCaml threads it should be assumed that any particular finaliser may be executed in any of the threads.
Anything reachable from the closure of finalisation functions is considered reachable, so the following code will not work as expected:
let v = ... in Gc.finalise (fun x -> ... v ...) v
v
is not in the closure of
the finalisation function by writing: let f = fun x -> ... ;; let v = ... in Gc.finalise f v
f
function can use all features of OCaml, including
assignments that make the value reachable again. It can also
loop forever (in this case, the other
finalisation functions will not be called during the execution of f,
unless it calls finalise_release
).
It can call finalise
on v
or other values to register other
functions or even itself. It can raise an exception; in this case
the exception will interrupt whatever the program was doing when
the function was called.
finalise
will raise Invalid_argument
if v
is not
heap-allocated. Some examples of values that are not
heap-allocated are integers, constant constructors, booleans,
the empty array, the empty list, the unit value. The exact list
of what is heap-allocated or not is implementation-dependent.
Some constant values can be heap-allocated but never deallocated
during the lifetime of the program, for example a list of integer
constants; this is also implementation-dependent.
You should also be aware that compiler optimisations may duplicate
some immutable values, for example floating-point numbers when
stored into arrays, so they can be finalised and collected while
another copy is still in use by the program.
The results of calling String.make
, Bytes.make
, Bytes.create
,
Array.make
, and Pervasives.ref
are guaranteed to be
heap-allocated and non-constant except when the length argument is 0
.
let finalise_release: unit => unit;
finalise_release
to tell the
GC that it can launch the next finalisation function without waiting
for the current one to return.type alarm;
let create_alarm: (unit => unit) => alarm;
create_alarm f
will arrange for f
to be called at the end of each
major GC cycle, starting with the current cycle or the next one.
A value of type alarm
is returned that you can
use to call delete_alarm
.let delete_alarm: alarm => unit;
delete_alarm a
will stop the calls to the function associated
to a
. Calling delete_alarm a
again has no effect.


Table Examples
Home
Text Examples
Table Examples
About me
Team
1
2
T
Michigan
28
34
62
Villanova
37
42
79
From: https://www.cbssports.com/college-basketball/scoreboard/


A gag cartoon (a.k.a. panel cartoon or gag panel) is most often a single-panel cartoon, usually including a caption beneath the drawing. A pantomime cartoon carries no caption. In some cases, dialogue may appear in speech balloons, following the common convention of comic strips.
As the name implies-"gag" being a show business term for a comedic idea-these cartoons are most often intended to provoke laughter. Popular magazines that have featured gag cartoons include Punch, The New Yorker and Playboy. Some publications, such as Humorama, have used cartoons as the main focus of the magazine, rather than articles and fiction.
Captions are usually concise, to fit on a single line. Gag cartoons of the 1930s and earlier occasionally had lengthy captions, sometimes featuring dialogue between two characters depicted in the drawing; over time, cartoon captions became shorter
In the mid-1950s, gag cartoonists found a new market with the introduction of highly popular studio cards in college bookstores. Single-panel cartoons have been published on various products, such as coffee mugs and cocktail napkins.
Traditionally, newspapers and magazines printed cartoons in black and white, but this changed in the 1950s when Playboy began to feature full-page, full-color cartoons in every issue.
There are numerous collections of cartoons in both paperback and hardcover, notably The New Yorker collections. From 1942 to 1971, the cartoonist-novelist Lawrence Lariar edited the annual Best Cartoons of the Year collections.
A well-known 1928 cartoon in The New Yorker, drawn by Carl Rose and captioned by E. B. White, shows a mother trying to convince her young daughter to finish her meal. "It's broccoli, dear."


node("cd") {
git "https://github.com/vfarcic/go-demo.git"
stage "test"
sh "docker-compose -f docker-compose-test.yml run --rm unit"
stage "build"
sh "docker build -t vfarcic/go-demo ."
stage "deploy"
withEnv(['DOCKER_HOST=tcp://swarm-master:2375']) {
sh "docker-compose up -d"
sh "docker-compose ps"
}
}


#include <ticpp.h>
Public Member Functions | |
| Text () | |
| Constructor. | |
| Text (TiXmlText *text) | |
| Constructor. | |
| Text (const std::string &value) | |
| Constructor. | |
| template<class T> | |
| Text (const T &value) | |
| Streams value into a string and creates a Text with it. |
| ticpp::Text::Text | ( | TiXmlText * | text | ) |
Constructor.
This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
| ticpp::Text::Text | ( | const std::string & | value | ) |
Constructor.
This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
| ticpp::Text::Text | ( | const T & | value | ) | [inline] |
Streams value into a string and creates a Text with it.
Uses ToString to covert the parameter to a string.
| value | The value of the Text node. |
| Exception |
References ticpp::Base::m_impRC.


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#include <mesos.hpp>
|
| | MockExecutor (const ExecutorID &_id) |
| |
| virtual | ~MockExecutor () |
| |
| | MOCK_METHOD4 (registered, void(ExecutorDriver *, const ExecutorInfo &, const FrameworkInfo &, const SlaveInfo &)) |
| |
| | MOCK_METHOD2 (reregistered, void(ExecutorDriver *, const SlaveInfo &)) |
| |
| | MOCK_METHOD1 (disconnected, void(ExecutorDriver *)) |
| |
| | MOCK_METHOD2 (launchTask, void(ExecutorDriver *, const TaskInfo &)) |
| |
| | MOCK_METHOD2 (killTask, void(ExecutorDriver *, const TaskID &)) |
| |
| | MOCK_METHOD2 (frameworkMessage, void(ExecutorDriver *, const std::string &)) |
| |
| | MOCK_METHOD1 (shutdown, void(ExecutorDriver *)) |
| |
| | MOCK_METHOD2 (error, void(ExecutorDriver *, const std::string &)) |
| |
| virtual | ~Executor () |
| |
| virtual void | registered (ExecutorDriver *driver, const ExecutorInfo &executorInfo, const FrameworkInfo &frameworkInfo, const SlaveInfo &slaveInfo)=0 |
| |
| virtual void | reregistered (ExecutorDriver *driver, const SlaveInfo &slaveInfo)=0 |
| |
| virtual void | disconnected (ExecutorDriver *driver)=0 |
| |
| virtual void | launchTask (ExecutorDriver *driver, const TaskInfo &task)=0 |
| |
| virtual void | killTask (ExecutorDriver *driver, const TaskID &taskId)=0 |
| |
| virtual void | frameworkMessage (ExecutorDriver *driver, const std::string &data)=0 |
| |
| virtual void | shutdown (ExecutorDriver *driver)=0 |
| |
| virtual void | error (ExecutorDriver *driver, const std::string &message)=0 |
| |
| mesos::internal::tests::MockExecutor::MockExecutor |
( |
const ExecutorID & |
_id | ) |
|
| virtual mesos::internal::tests::MockExecutor::~MockExecutor |
( |
| ) |
|
|
virtual |
| mesos::internal::tests::MockExecutor::MOCK_METHOD2 |
( |
error |
, |
|
|
void(ExecutorDriver *, const std::string &) |
|
|
) |
| |
| mesos::internal::tests::MockExecutor::MOCK_METHOD4 |
( |
registered |
, |
|
|
void(ExecutorDriver *, const ExecutorInfo &, const FrameworkInfo &, const SlaveInfo &) |
|
|
) |
| |
| const ExecutorID mesos::internal::tests::MockExecutor::id |
The documentation for this class was generated from the following file:


This is About Me Section:
This is Latest Activities Section:
This is Groups Joined Section:
This is Groups Leading Section:
This is Events Going To held Section:
This is Events May be Going To held Section:
This is Wall Messages Section:
Following Friends Section:
Followers Friends Section:
This is Conversation Messages:
This is Pictures Section: