PHPQuickProfiler
Introduction
PHPQuickProfiler a small tool (think Firebug for PHP) to provide profiling and debugging related information to developers without needing them to add a lot of programmatic overhead to their code. Now, we only need to toggle one config setting to true and you have access to an automated tool to help create a faster and more consistent code review experience.
Documentation
You can find the original documentation here.
FuelPHP Usage
The PHPQuickProfiler vendor package is used by FuelPHP in the Profiler class, to display profiling output when the profiler is enabled.
Application Usage
You can add data to PHPQuickProfiler through the Profiler class methods.


Vibgyor Advisors is a first generation firm focusing on financial services. It works across various segments of the financial services and provides a wide range of services to its esteemed clients. It advises individuals as well as corporates on their various requirements with a client centric approach.
Vibgyor Advisors is a first generation advisory firm focusing on wealth management and corporate advisory. It is started by Mr. Sachin Neema. Sachin Neema is a management graduate from JBIMS, Mumbai and a mechanical engineer from VJTI, Mumbai. He has about 22 years of experience in equity markets and has worked as Analyst, Head of research, Fund manager and has been instrumental in running business segments for some of the leading companies in the industry like HDFC Sec, IIFL and Tata


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Bio
I worked as a Manufacturing Engineer before I joined the world of software development. I am a father of 4. My eldest is 16 and I adopted her when she was 5. My two main hobbies are Moutnain Biking and Magic the Gathering (card game). I attended DeVry back in 2006 for game design but left the program early. I didn't complete my engineering degree until 2015. I was laid off in March 2020 due to COVID-19. I had already been considering a career change due to slow career growth and high turnover in the manufacturing engineering feild.
Education
- Code Fellows, Seattle WA, Certificate of Software Development, Jan 2021
- Central Washington University, Ellensburg WA, Bachelors of Science Mechanical Engineering, 2015
- Ellensburg High School, Ellensburg WA, Diploma,May 2006
Job Experience
- CNC Programming
- CNC Machine troubleshooting and repair
- Fixture & tool design
- Solidworks 3D modeling
- Manufacturing drawing with CAD
- Lean production improvemnts projects
Career Goals
My goal is to become a back end web developer. I want this career so that I can be deeply involved in the root-cause problem solving process. I find the web development toolbox very satisfying and engaging to work with. I hope to join the tech industry so I can have the option to work from home and no longer be exposed to the unstable job market in manufacturing.
Top 10 Favorite Foods
- Kimchi Stew
- General Tso Chicken
- Moo Shu Pork
- Supreme Pizza
- Pho Ga
- Chicken Tikka Masala
- Pork Adobada Street Tacos
- Sushi
- Mongolian Chicken
- French Dip


FilterLists is built with ReactJS and therefore requires first-party JavaScript to be enabled. We do not use any third-party JavaScript, and your privacy is very important to us. If you prefer not to enable JavaScript or your browser does not support it, the data is also available on our GitHub repo.


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We apply Bradley-Terry Model to estimate teams' ability in paired comparison data. Exponential Decayed Log-likelihood function is applied for dynamic approximation of current rankings and Lasso penalty is applied for variance reduction and grouping. The main algorithm applies the Augmented Lagrangian Method described by Masarotto and Varin (2012) <doi:10.1214/12-AOAS581>.
| Version: | 0.1.0 |
| Imports: | optimr, ggplot2, stats |
| Published: | 2018-06-27 |
| Author: | Yunpeng Zhou [aut, cre], Jinfeng Xu [aut] |
| Maintainer: | Yunpeng Zhou <michael.zhou.hku at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | BTdecayLasso results |
| Reference manual: | BTdecayLasso.pdf |
| Package source: | BTdecayLasso_0.1.0.tar.gz |
| Windows binaries: | r-devel: BTdecayLasso_0.1.0.zip, r-release: BTdecayLasso_0.1.0.zip, r-oldrel: BTdecayLasso_0.1.0.zip |
| OS X binaries: | r-release: BTdecayLasso_0.1.0.tgz, r-oldrel: BTdecayLasso_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=BTdecayLasso to link to this page.


The probability mass function and probability density, cdf, and survival functions are all ways of specifying probability distributions. They are all defined as probabilities or as probability per unit length, and thus have natural interpretations and visualizations.
But there are also more abstract ways of describing distributions. One such way that you have encountered is the probability generating function (pgf), which we defined for random variables with finitely many non-negative integer values.
We now define another such transform of a distribution. More general than the pgf, it is a powerful tool for studying distributions.
Let $X$ be a random variable. The moment generating function (mgf) of $X$ is a function defined on the real numbers by the formula
$$ M_X(t) ~ = ~ E(e^{tX}) $$for all $t$ for which the expectation is finite. It is a fact (which we will not prove) that the domain of the mgf has to be an interval, not necessarily finite but necessarily including 0 because $M_X(0) = 1$.
For $X$ with finitely many non-negative integer values, we had defined the pgf by $G_X(s) = E(s^X)$. Notice that this is a special case of the mgf with $s = e^t$ and hence positive. For a random variable $X$ that has both a pgf $G_X$ and an mgf $M_X$, the two functions are related by $M_X(\log(s)) = G_X(s)$. Therefore the properties of $M_X$ near 0 reflect the properties of $G_X$ near 1.
This section presents three ways in which the mgf is useful. Other ways are demonstrated in the subsequent sections of this chapter. Much of what we say about mgf's will not be accompanied by complete proofs as the math required is beyond the scope of this class. But the results should seem reasonable, even without formal proofs.
We will list the three ways first, and then use them all in examples.
For non-negative integers $k$, the expectation $E(X^k)$ is called $k$th moment of $X$. You saw in Data 8 and again in this course that the mean $E(X)$ is the center of gravity of the probability histogram of $X$. In physics, the center of mass is called the first moment. The terminology of moments is used in probability theory as well.
In this course we are only going to work with mgf's that are finite in some interval around 0. The interval could be the entire real line. It is a fact that if the mgf is finite around 0 (not just to one side of 0), then all the moments exist.
Expand $e^{tX}$ to see that
\begin{align*} M_X(t) ~ &= ~ E \big{(} 1 + t \frac{X}{1!} + t^2 \frac{X^2}{2!} + t^3 \frac{X^3}{3!} + \cdots \big{)} \\ \\ &= ~ 1 + t \frac{E(X)}{1!} + t^2 \frac{E(X^2)}{2!} + t^3 \frac{E(X^3)}{3!} + \cdots \end{align*}by blithely switching the expectation and the infinite sum. This requires justification, which we won't go into.
Continue to set aside questions about whether we can switch infinite sums with other operations. Just go ahead and differentiate $M_X$ term by term. Let $M_X^{(n)}$ denote the $n$th derivative. Then
$$ M_X^{(1)} (t) ~ = ~ \frac{d}{dt} M_X(t) ~ = \frac{E(X)}{1!} + 2t \frac{E(X^2)}{2!} + 3t^2 \frac{E(X^3)}{3!} + \cdots $$and hence $$ M^{(1)} (0) ~ = ~ E(X) $$
Now differentiate $M_X^{(1)}$ to see that $M_X^{(2)}(0) = E(X^2)$, and, by induction,
$$ M^{(n)} (0) ~ = ~ E(X^n), ~~~~ n = 1, 2, 3, \ldots $$Hence we can generate the moments of $X$ by evaluating successive derivatives of $M_X$ at $t=0$. This is one way in which mgf's are helpful.
In this class we have made heavy use of the first and second moments, and no use at all of the higher moments. That will continue to be the case. But mgf's do involve all the moments, and this results in a property that is very useful for proving facts about distributions:
If two distributions have the same mgf, then they must be the same distribution. For example, if you recognize the mgf of a random variable as the mgf of a normal distribution, then the random variable must be normal.
By contrast, if you know the expectation of a random variable you can't identify the distribution of the random variable; even if you know both the mean and the SD (equivalently, the first and second moments), you can't identify the distribution. But if you know the moment generating function, and hence all the moments, then you can.
This property is valid if the mgf exists in an interval around 0, which we assumed earlier in this section.
Being able to use the mgf as a way to identify the distribution is another reason the mgf is useful.
The third mgf's are useful is that like the pgf, the mgf of the sum of independent random variables is easily computed as a product.
Let $X$ and $Y$ be independent. Then $$ M_{X+Y} (t) ~ = ~ E(e^{t(X+Y)}) ~ = ~ E(e^{tX} \cdot e^{tY}) $$
So if $X$ and $Y$ are independent, $$ M_{X+Y}(t) ~ = ~ M_X(t) M_Y(t) $$
It's time for some examples. Remember that the mgf of $X$ is the expectation of a function of $X$. In some cases we will calculate it using the non-linear function rule for expectations. In other cases we will use the multiplicative property of the mgf of the sum of independent random variables.
$P(X = 1) = p$ and $P(X = 0) = 1 - p = q$. So
$$ M_X(t) ~ = ~ qe^{t \cdot 0} + pe^{t \cdot 1} ~ = ~ q + pe^t ~ = ~ 1 - p(e^t - 1) ~~~ \text{for all } t $$A binomial random variable is the sum of $n$ i.i.d. indicators. So
$$ M_X(t) ~ = ~ (q + pe^t)^n ~~~ \text{for all } t $$This one is an exercise. $$ M_X(t) ~ = ~ e^{\mu(e^t - 1)} ~~~ \text{for all } t $$
You can also use this to show that the sum of independent Poisson variables is Poisson.
Let $X$ have the gamma $(r, \lambda)$ distribution. Then
\begin{align*} M_X(t) ~ &= ~ \int_0^\infty e^{tx} \frac{\lambda^r}{\Gamma(r)} x^{r-1} e^{-\lambda x} dx \\ \\ &= ~ \frac{\lambda^r}{\Gamma(r)} \int_0^\infty x^{r-1} e^{-(\lambda - t)x} dx \\ \\ &= ~ \frac{\lambda^r}{\Gamma(r)} \cdot \frac{\Gamma(r)}{(\lambda - t)^r} ~~~~ t < \lambda \\ \\ &= \big{(} \frac{\lambda}{\lambda - t} \big{)}^r ~~~~ t < \lambda \end{align*}If $X$ has gamma $(r, \lambda)$ distribution and $Y$ independent of $X$ has gamma $(s, \lambda)$ distribution, then
\begin{align*} M_{X+Y} (t) ~ &= ~ \big{(} \frac{\lambda}{\lambda - t} \big{)}^r \cdot \big{(} \frac{\lambda}{\lambda - t} \big{)}^s ~~~~ t < \lambda \\ \\ &= ~ \big{(} \frac{\lambda}{\lambda - t} \big{)}^{r+s} ~~~~ t < \lambda \end{align*}That's the mgf of the gamma $(r+s, \lambda)$ distribution. Because the mgf identifies the distribution, $X+Y$ must have the gamma $(r+s, \lambda)$ distribution.


--- layout: post title: "CS231n_03" subtitle: "lecture 03 review" date: 2020-05-21 23:45:13 -0400 background: '/img/posts/01.jpg' ---
To determine which W will be best, we need to quantify how bad W is, and we call this a loss function. Training data set has xs and ys, and xs are pixel values of images, which will be the inputs to the algorithm in the image classification case. And the ys are the targets. The case of image classification, it will categorize each image for CIFAR-10. So the label y will be an integer between one and 10 or between zero and nine. The predicted scores coming out of the function f, will give quantitative value for how bad predictions are. And the final loss L will be the average of these losses summed over the entire data set. Eventually finding the W that minimizes the loss on your training data will be a goal.
To get L_i, we're going to sum over all the incorrect categories. And compare the score of the correct category, and the score of the incorrect category. If the score for the correct category is greater than the score of the incorrect category. That means that the true score is larger than the false categories, and we'll get a zero of loss value. And if we sum up all of the incorrect categories of our image, that will be the final Loss of one image.
What we really care is that the correct score is greater than the incorrect scores. The multiclass SVM loss will be the sum of the losses of these of classes, which will be 2.9 plus zero. And 2.9 is a quantitative measure of how much our classifier work well in this training example.
Final loss for the entire data set is the average of these three losses. And this is quantitative measure that our classifier is 5.27 bad on this data set.
So the first question was what happens to loss if car scores change a bit? then the loss will be same.In this case, the car score is larger than the others. So if the scores for car class changed a little bit, the loss will be still zero.
The next question was what's is the min and max possible loss? If correct score was much larger, then we'll get zero. And if the correct score is very negative, then we could get infinite loss. So the min is zero and the max is infinity.
At initialization W is small, so if all s is zero, than what is the loss? If we're looping over all of the C minus one classes, with small W, each of the two S will be the same, so we'll get one. And the loss will be the number of classes minus one. And we could use this for debugging. For example, when you start off training, and if the first iteration is not equal to C minus one, this means there probably have bug.
Then what if the sum was over all classes? Then the loss will increase one. Because of conventions, we originally omit the correct class. And if loss is zero, this means that you're not losing at all.
The last question was what if we used mean instead of sum? The answer is it doesn't change. Mean is just rescaling the whole loss function. And we don't actually care about the true values
What if we use equation below for lossnfunction? We would have different result. Because this would compute a different loss function. And the loss function is the way that you tell your algorithm what types of errors.
Classifier should find the W that fits the training data. But actually it doesn’t matter how much it fits the training data, What we really care about is the performance of this classifier on test data. Suppose we have this data set of blue points, and if we're going to fit blue points, it might have wiggly curves to perfectly classify all of the training data points. But this is not good, cause what we care about is, the performance on the test data. So we probably prefer the classifier to predict this straight green line, rather than blue wiggly line And the way to solve it, What we need is regularization. So we're going to add an additional term to the loss function called a regularization. Based on Occam's razor, this would encourages the model to choose a simpler W. Because it will be better in generalizing to new observations in the future if we have simpler W.
There's a lot of different types of regularization that used in practice. The most common one is L2 regularization or weight decay. And the whole idea of regularization is giving sort of penalizes to the model, rather than fitting perfectly the training data.
Here we have some training example, x, and two different Ws. And we will take dot products between x and W. L2 regression would prefer W2 because it prefers to spread influence in x. And that means it has a smaller norm.
Multinomial logistic regression is popular in deep learning through softmax function. There is probabilities over our classes, where each probability is between zero and one. What we consider the most, is the probability of the true class is high and is it close to one. Mathematically, we would use log. Because it's easier to maximize log than it is to maximize the raw probability. Loss functions measure badness, so we need to put minus to make negative log of the probability of the true class. To sum up, when we take our scores, we run through the softmax, and loss will be minus log of the probability of the true class.
First, take all of them exponentiate to make them all positive. And then we'll normalize them to make that they all sum to one. And loss will be the minus log of the true class score. And that is the softmax loss, which also called multinomial logistic regression.
Now Let’s compare two loss functions. For SVM, it will look at the margins between the scores of the correct class and of the incorrect class. And this will get this data point over the bar and then just give up. In cross-entropy loss, It will compute a probability distribution and then look at the minus log probability of the correct class. And softmax will always try to improve every single data point to get better and better
Trying to find the W that minimizes this final loss function would leads us to the topic of optimization. Let’s pretend you're a guy who is walking around valley, and you're trying to find the bottom of this valley. From this point of view, the height of each of these points would mean loss.
Then slope could be the derivative of this function. And the gradient is a vector of partial derivatives. Gradient will tell us what is the slope of the function f, if we move in that coordinate direction. For example in negative gradient direction, it gives you the direction of decrease of the function.
Final goal is to compute the gradient, Dw. And each slot in that gradient will tell us how much will the loss change, if we move a tiny amount in that coordinate direction.
But we can just use the magical hammer of calculus to write down an expression for what this gradient should be. And this'll be more efficient than trying to compute it analytically. Also it'll be much faster since we just need to compute this single expression. So In practice, you'll always use an analytic gradient
Here is some simple code of Gradient Descent. First we initialize our W random thing. Then while true, it'll compute loss and gradient and then update weights in the opposite of the gradient direction. The gradient is pointing in the direction of greatest increase of the function. So minus gradient points in the direction of greatest decrease. So let’s take a small step in the direction of minus gradient, and repeat this forever and finally network will converge. Step size tells us that every time we compute the gradient, how far do we step in that direction. And this also called a learning rate, is one of the most important hyper-parameters when you're actually training in practice.
In practice, we use stochastic gradient descent. It samples small set of training examples, called a minibatch. And use this small minibatch, to compute an estimate of the full sum and the true gradient. Now we can sample random minibatch of data.After evaluate loss and gradient on the minibatch, make an update on weights based on this estimate of the loss and gradient.


Getting Started
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<script type="text/javascript" src="/path/to/jquery-1.11.3.min.js"></script> <script type="text/javascript" src="/path/to/jquery.tableexport.js"></script>
Install with Bower
Dependencies
In order to download Excel(.xlsx) files, the following plugins are required:
- xlsx.core.js
- Blob.js
- FileSaver.js
- Export2Excel.js
Usage
Methods
Settings
CSS
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/* [String] column separator, [default: ","] */ .top, .head { caption-side: top; } .bottom { caption-side: bottom; }
JavaScript
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$("table").tableExport();
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$("table").tableExport({ separator: ",", // [String] column separator, [default: ","] headings: true, // [Boolean], display table headings (th elements) in the first row, [default: true] buttonContent: "Export", // [String], text/html to display in the export button, [default: "Export file"] addClass: "", // [String], additional button classes to add, [default: ""] defaultClass: "btn", // [String], the default button class, [default: "btn"] defaultTheme: "btn-default", // [String], the default button theme, [default: "btn-default"] type: "csv", // [xlsx, csv, txt], type of file, [default: "csv"] fileName: "export", // [id, name, String], filename for the downloaded file, [default: "export"] position: "bottom", // [top, bottom], position of the caption element relative to table, [default: "bottom"] stripQuotes: true // [Boolean], remove containing double quotes (.txt files ONLY), [default: true] });
Browser Support
| Chrome | Firefox | Internet Explorer | Opera | Safari | |
|---|---|---|---|---|---|
| Android | N/A | N/A | |||
| iOS | N/A | ||||
| Mac OS X | |||||
| Windows |
Live Demo
Demo 1
Countries By Population
| Rank | Country | Population | % of world population | Date |
|---|---|---|---|---|
| 1 | China | 1,370,570,000 | 18.9% | June 24, 2015 |
| 2 | India | 1,273,140,000 | 17.6% | June 24, 2015 |
| 3 | United States | 321,268,000 | 4.43% | June 24, 2015 |
| 4 | Indonesia | 255,461,700 | 3.52% | July 1, 2015 |
| 5 | Brazil | 204,503,000 | 2.82% | June 24, 2015 |
| 6 | Pakistan | 190,156,000 | 2.62% | June 24, 2015 |
| 7 | Nigeria | 183,523,000 | 2.53% | July 1, 2015 |
| 8 | Bangladesh | 126,880,000 | 2.19% | June 24, 2015 |
Demo 2
Countries By Population
| Rank | Country | Population | % of world population | Date |
|---|---|---|---|---|
| 1 | China | 1,370,570,000 | 18.9% | June 24, 2015 |
| 2 | India | 1,273,140,000 | 17.6% | June 24, 2015 |
| 3 | United States | 321,268,000 | 4.43% | June 24, 2015 |
| 4 | Indonesia | 255,461,700 | 3.52% | July 1, 2015 |
| 5 | Brazil | 204,503,000 | 2.82% | June 24, 2015 |
| 6 | Pakistan | 190,156,000 | 2.62% | June 24, 2015 |
| 7 | Nigeria | 183,523,000 | 2.53% | July 1, 2015 |
| 8 | Bangladesh | 126,880,000 | 2.19% | June 24, 2015 |
Demo 3
Countries By Population
| Rank | Country | Population | % of world population | Date |
|---|---|---|---|---|
| 1 | China | 1,370,570,000 | 18.9% | June 24, 2015 |
| 2 | India | 1,273,140,000 | 17.6% | June 24, 2015 |
| 3 | United States | 321,268,000 | 4.43% | June 24, 2015 |
| 4 | Indonesia | 255,461,700 | 3.52% | July 1, 2015 |
| 5 | Brazil | 204,503,000 | 2.82% | June 24, 2015 |
| 6 | Pakistan | 190,156,000 | 2.62% | June 24, 2015 |
| 7 | Nigeria | 183,523,000 | 2.53% | July 1, 2015 |
| 8 | Bangladesh | 126,880,000 | 2.19% | June 24, 2015 |
Demo 4
Countries By Population
| Rank | Country | Population | % of world population | Date |
|---|---|---|---|---|
| 1 | China | 1,370,570,000 | 18.9% | June 24, 2015 |
| 2 | India | 1,273,140,000 | 17.6% | June 24, 2015 |
| 3 | United States | 321,268,000 | 4.43% | June 24, 2015 |
| 4 | Indonesia | 255,461,700 | 3.52% | July 1, 2015 |
| 5 | Brazil | 204,503,000 | 2.82% | June 24, 2015 |
| 6 | Pakistan | 190,156,000 | 2.62% | June 24, 2015 |
| 7 | Nigeria | 183,523,000 | 2.53% | July 1, 2015 |
| 8 | Bangladesh | 126,880,000 | 2.19% | June 24, 2015 |
License
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sample
sample
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| Row Labels | Rank | Sum of ridecount |
| Midtown Center | 1 | 456,367 |
| Times Sq/Theatre District | 2 | 385,849 |
| Murray Hill | 3 | 381,494 |
| Midtown East | 4 | 376,738 |
| Penn Station/Madison Sq West | 5 | 339,835 |
| Upper East Side South | 6 | 334,615 |
| Union Sq | 7 | 332,632 |
| Upper East Side North | 8 | 330,459 |
| Clinton East | 9 | 314,599 |
| East Village | 10 | 300,551 |
| Midtown North | 11 | 288,713 |
| Midtown South | 12 | 268,810 |
| East Chelsea | 13 | 268,013 |
| Lincoln Square East | 14 | 263,386 |
| Gramercy | 15 | 245,290 |
| Lenox Hill West | 16 | 242,337 |
| Upper West Side South | 17 | 237,176 |
| West Chelsea/Hudson Yards | 18 | 223,234 |
| TriBeCa/Civic Center | 19 | 204,429 |
| West Village | 20 | 193,484 |
| Garment District | 21 | 191,947 |
| Lenox Hill East | 22 | 189,348 |
| Yorkville West | 23 | 188,133 |
| Sutton Place/Turtle Bay North | 24 | 185,979 |
| Upper West Side North | 25 | 183,976 |
| UN/Turtle Bay South | 26 | 171,774 |
| Flatiron | 27 | 166,013 |
| Greenwich Village North | 28 | 161,851 |
| Meatpacking/West Village West | 29 | 156,353 |
| Kips Bay | 30 | 154,943 |
| LaGuardia Airport | 31 | 146,035 |
| Clinton West | 32 | 140,987 |
| Central Park | 33 | 138,318 |
| Lower East Side | 34 | 134,812 |
| Greenwich Village South | 35 | 133,303 |
| Yorkville East | 36 | 125,780 |
| Battery Park City | 37 | 124,078 |
| East Harlem South | 38 | 119,372 |
| Little Italy/NoLiTa | 39 | 118,855 |
| Lincoln Square West | 40 | 113,738 |
| SoHo | 41 | 108,230 |
| Financial District North | 42 | 101,541 |
| JFK Airport | 43 | 100,820 |
| East Harlem North | 44 | 82,394 |
| Manhattan Valley | 45 | 79,982 |
| Morningside Heights | 46 | 79,909 |
| Hudson Sq | 47 | 66,476 |
| Central Harlem | 48 | 65,971 |
| Astoria | 49 | 63,729 |
| World Trade Center | 50 | 61,262 |
| Alphabet City | 51 | 56,867 |
| Financial District South | 52 | 55,834 |
| Two Bridges/Seward Park | 53 | 53,234 |
| Stuy Town/Peter Cooper Village | 54 | 47,327 |
| Central Harlem North | 55 | 46,931 |
| 56 | 43,995 | |
| Williamsburg (North Side) | 57 | 43,107 |
| Park Slope | 58 | 42,611 |
| Washington Heights South | 59 | 41,714 |
| Williamsburg (South Side) | 60 | 40,994 |
| Long Island City/Hunters Point | 61 | 37,463 |
| Bloomingdale | 62 | 36,415 |
| Greenpoint | 63 | 36,025 |
| Chinatown | 64 | 34,244 |
| Hamilton Heights | 65 | 32,913 |
| Sunnyside | 66 | 32,254 |
| Brooklyn Heights | 67 | 31,729 |
| Steinway | 68 | 28,190 |
| East Williamsburg | 69 | 28,179 |
| Seaport | 70 | 28,177 |
| Crown Heights North | 71 | 25,113 |
| Clinton Hill | 72 | 24,684 |
| Bushwick South | 73 | 24,073 |
| Bedford | 74 | 23,844 |
| Downtown Brooklyn/MetroTech | 75 | 22,847 |
| Jackson Heights | 76 | 22,150 |
| Washington Heights North | 77 | 21,326 |
| Fort Greene | 78 | 20,827 |
| Boerum Hill | 79 | 20,795 |
| Manhattanville | 80 | 19,740 |
| Old Astoria | 81 | 18,722 |
| Newark Airport | 82 | 17,341 |
| DUMBO/Vinegar Hill | 83 | 17,105 |
| Woodside | 84 | 16,240 |
| Stuyvesant Heights | 85 | 15,362 |
| Forest Hills | 86 | 15,281 |
| Long Island City/Queens Plaza | 87 | 15,003 |
| Bushwick North | 88 | 14,293 |
| Prospect Heights | 89 | 13,633 |
| Carroll Gardens | 90 | 12,974 |
| Elmhurst | 91 | 12,252 |
| Battery Park | 92 | 11,504 |
| Flatbush/Ditmas Park | 93 | 11,462 |
| Bay Ridge | 94 | 10,305 |
| Prospect-Lefferts Gardens | 95 | 10,091 |
| Cobble Hill | 96 | 9,200 |
| Inwood | 97 | 8,881 |
| Sunset Park West | 98 | 8,670 |
| Mott Haven/Port Morris | 99 | 7,856 |
| Ridgewood | 100 | 7,486 |
| Gowanus | 101 | 7,310 |
| Queensbridge/Ravenswood | 102 | 7,067 |
| Windsor Terrace | 103 | 6,457 |
| Elmhurst/Maspeth | 104 | 6,254 |
| Crown Heights South | 105 | 6,120 |
| Roosevelt Island | 106 | 5,883 |
| West Concourse | 107 | 5,551 |
| Flushing | 108 | 5,421 |
| Red Hook | 109 | 5,055 |
| East Elmhurst | 110 | 5,020 |
| Rego Park | 111 | 4,924 |
| Maspeth | 112 | 4,761 |
| East Concourse/Concourse Village | 113 | 4,578 |
| South Ozone Park | 114 | 4,537 |
| Spuyten Duyvil/Kingsbridge | 115 | 4,416 |
| Kensington | 116 | 4,092 |
| Corona | 117 | 4,003 |
| Middle Village | 118 | 3,916 |
| Baisley Park | 119 | 3,802 |
| South Williamsburg | 120 | 3,683 |
| Jamaica | 121 | 3,617 |
| Columbia Street | 122 | 3,601 |
| North Corona | 123 | 3,505 |
| Melrose South | 124 | 3,458 |
| Briarwood/Jamaica Hills | 125 | 3,388 |
| Riverdale/North Riverdale/Fieldston | 126 | 3,222 |
| Sunset Park East | 127 | 3,049 |
| Kew Gardens | 128 | 2,928 |
| East New York | 129 | 2,826 |
| Richmond Hill | 130 | 2,742 |
| Ocean Hill | 131 | 2,715 |
| Prospect Park | 132 | 2,646 |
| Kew Gardens Hills | 133 | 2,527 |
| Bensonhurst West | 134 | 2,522 |
| Springfield Gardens South | 135 | 2,506 |
| Highbridge | 136 | 2,460 |
| Borough Park | 137 | 2,425 |
| Midwood | 138 | 2,405 |
| Woodhaven | 139 | 2,349 |
| Flatlands | 140 | 2,321 |
| East Flatbush/Farragut | 141 | 2,226 |
| Canarsie | 142 | 2,155 |
| Mount Hope | 143 | 2,146 |
| University Heights/Morris Heights | 144 | 2,107 |
| Van Cortlandt Village | 145 | 2,038 |
| Erasmus | 146 | 2,029 |
| Dyker Heights | 147 | 1,999 |
| Flushing Meadows-Corona Park | 148 | 1,961 |
| East Flatbush/Remsen Village | 149 | 1,925 |
| Glendale | 150 | 1,861 |
| Fresh Meadows | 151 | 1,852 |
| Brownsville | 152 | 1,782 |
| Hillcrest/Pomonok | 153 | 1,769 |
| Soundview/Castle Hill | 154 | 1,768 |
| Bedford Park | 155 | 1,748 |
| Murray Hill-Queens | 156 | 1,697 |
| Bensonhurst East | 157 | 1,690 |
| Pelham Parkway | 158 | 1,664 |
| Bayside | 159 | 1,663 |
| Morrisania/Melrose | 160 | 1,661 |
| Brooklyn Navy Yard | 161 | 1,650 |
| Jamaica Estates | 162 | 1,595 |
| Parkchester | 163 | 1,579 |
| Woodlawn/Wakefield | 164 | 1,576 |
| Norwood | 165 | 1,565 |
| Marine Park/Mill Basin | 166 | 1,533 |
| Randalls Island | 167 | 1,530 |
| Homecrest | 168 | 1,516 |
| Kingsbridge Heights | 169 | 1,510 |
| Madison | 170 | 1,489 |
| Whitestone | 171 | 1,483 |
| Schuylerville/Edgewater Park | 172 | 1,470 |
| Springfield Gardens North | 173 | 1,440 |
| Hunts Point | 174 | 1,396 |
| Sheepshead Bay | 175 | 1,383 |
| Saint Albans | 176 | 1,377 |
| Cypress Hills | 177 | 1,363 |
| Soundview/Bruckner | 178 | 1,316 |
| Queens Village | 179 | 1,303 |
| College Point | 180 | 1,217 |
| Van Nest/Morris Park | 181 | 1,216 |
| South Jamaica | 182 | 1,210 |
| West Farms/Bronx River | 183 | 1,182 |
| Coney Island | 183 | 1,182 |
| Brighton Beach | 184 | 1,178 |
| Longwood | 185 | 1,161 |
| Belmont | 186 | 1,148 |
| Howard Beach | 187 | 1,140 |
| Rosedale | 188 | 1,083 |
| East Tremont | 189 | 1,077 |
| Co-Op City | 190 | 1,074 |
| Williamsbridge/Olinville | 191 | 1,072 |
| Westchester Village/Unionport | 192 | 1,061 |
| Queensboro Hill | 193 | 1,007 |
| Ozone Park | 194 | 990 |
| Claremont/Bathgate | 195 | 980 |
| Bay Terrace/Fort Totten | 196 | 959 |
| Bronxdale | 197 | 957 |
| East New York/Pennsylvania Avenue | 198 | 923 |
| Bath Beach | 199 | 918 |
| Ocean Parkway South | 200 | 909 |
| Saint Michaels Cemetery/Woodside | 201 | 901 |
| Oakland Gardens | 202 | 892 |
| Laurelton | 203 | 850 |
| Douglaston | 204 | 847 |
| Inwood Hill Park | 205 | 801 |
| Fordham South | 206 | 784 |
| Crotona Park East | 207 | 771 |
| Allerton/Pelham Gardens | 208 | 763 |
| East Flushing | 209 | 760 |
| Manhattan Beach | 210 | 710 |
| Bellerose | 211 | 687 |
| Gravesend | 212 | 659 |
| Pelham Bay | 213 | 642 |
| Auburndale | 214 | 641 |
| Cambria Heights | 215 | 635 |
| Glen Oaks | 216 | 621 |
| Highbridge Park | 217 | 616 |
| Bronx Park | 218 | 611 |
| Eastchester | 219 | 580 |
| Far Rockaway | 220 | 537 |
| Marble Hill | 221 | 478 |
| Van Cortlandt Park | 222 | 477 |
| Hollis | 223 | 468 |
| Starrett City | 224 | 421 |
| Hammels/Arverne | 225 | 415 |
| Rockaway Park | 226 | 414 |
| Astoria Park | 227 | 350 |
| Bloomfield/Emerson Hill | 228 | 307 |
| Country Club | 229 | 272 |
| Forest Park/Highland Park | 230 | 266 |
| Heartland Village/Todt Hill | 231 | 229 |
| Saint George/New Brighton | 232 | 208 |
| Arrochar/Fort Wadsworth | 233 | 194 |
| Stapleton | 234 | 187 |
| South Beach/Dongan Hills | 235 | 175 |
| Westerleigh | 236 | 164 |
| City Island | 237 | 163 |
| Green-Wood Cemetery | 238 | 162 |
| Pelham Bay Park | 239 | 147 |
| Grymes Hill/Clifton | 240 | 144 |
| Breezy Point/Fort Tilden/Riis Beach | 241 | 140 |
| West Brighton | 242 | 139 |
| Marine Park/Floyd Bennett Field | 243 | 123 |
| New Dorp/Midland Beach | 244 | 114 |
| Great Kills | 245 | 112 |
| Willets Point | 246 | 99 |
| Mariners Harbor | 247 | 92 |
| Crotona Park | 248 | 81 |
| Oakwood | 249 | 79 |
| Eltingville/Annadale/Prince's Bay | 250 | 70 |
| Arden Heights | 251 | 57 |
| Rossville/Woodrow | 252 | 55 |
| Port Richmond | 253 | 41 |
| Charleston/Tottenville | 254 | 40 |
| Broad Channel | 255 | 39 |
| Governor's Island/Ellis Island/Liberty Island | 256 | 6 |
| Jamaica Bay | 257 | 5 |
| Freshkills Park | 258 | 2 |
| zone_1 | 259 | 1 |
| Rikers Island | 259 | 1 |
| Grand Total | 11,391,949 |


{% extends "base.html" %} {% block title %}Not Authorized{% endblock %} {% block app_content %}
You are not authorized to view this page.


These dogs have been practicing for a month straight for this performance. They are some of the best and brightest dogs of their generation.
They have all remarkably perfected their individual parts but due to social distancing, were never able to practice together.
Until Today.
Please do forgive them if they do not play in sync, they are merely dogs you see; and are trying their best
Drag each dog you want to hear play to a spot on the stage. Either drag them back down or hit the pause button in the top right to have them stop.
Hit the R button to send everyone back to the floor and begin a new composition
Mix and Match the sounds to make your own composition!


Windows, Mac OS X, the BSDs and Linux are all contestants in an intriguing race – a race of technological progress. To be more precise, they occupy slightly different niches in the computing ecosystem, however compete against each other in terms of overall usability (the BSDs to a much lesser extent). Sadly, as both Windows and Mac OS X are the most popular end-user operating systems, the majority of hardware support and development is dedicated to them. Of course, there is also the Linux-based Android on mobile devices! However, Linux itself is not so far behind. More and more end-user features are being introduced to the kernel. For instance, Linux kernel version 3.16 adds OS-level response to physical shock, relying on built-in pressure sensors (supported in Windows since XP). The current stable edition of the Linux kernel is already 3.18, while 3.19 is in the testing phase (release candidate 5, 3.19-rc5, can be downloaded from kernel.org).
Because Linux is an ever-changing software landscape, I decided to settle down with an operating system that would follow the so-called rolling-release development model and could be constantly kept up-to-date. Of the most popular distributions I considered Gentoo, Arch Linux and Debian Sid.
I tried Gentoo a few months ago and was moderately annoyed with its time-consuming installation. I quickly deemed it too difficult for me, though I might try it again once I gain sufficient experience. From thereon I limited my choices to Arch and Sid.
Arch Linux is a typical rolling-release distribution, following principles of simplicity and clarity. The installation procedure is almost purely manual (less troublesome than Gentoo, though) and requires adjustments to several configuration files. However, it also provides a very good learning opportunity. The key to success is a combination of up-to-date vanilla binary packages (very similar to the ones available from upstream open-source projects) and easy access to compiling tools.
Debian is definitely not a rolling-release distribution, though the Unstable / Sid branch is often considered such. Debian developers regard it as a polygon for new software packages. It will never see an actual versioned release, though, so it is highly debatable whether Sid is a true rolling-release distribution. I greatly appreciate Debian for its versatility and stability, but because even Debian developers themselves deem Sid to be highly unstable (frequent updates may cause dependency errors, etc.) and it does not receive security updates like Testing and Stable in a timely fashion, I decided to leave it for now.
Arch Linux is very much a vanilla distribution in the sense that it closely follows the defaults set by upstream projects (third-party software, the kernel, the X Server, etc.). As a result, it's one of the first Linux distributions to receive updates. In a way it puts trust in upstream developer groups. If the kernel team decides that version 3.18 is stable enough to be released, it's deemed stable enough for use in Arch Linux. I guess this attitude gave Arch Linux the reputation of being on the bleeding edge of software development. However, it doesn't necessarily mean that it's more bug-ridden.
Debian development standards are much higher, of course. Every upstream package is first accepted into Experimental and Unstable where it is thoroughly processed by multiple dev teams. This guarantees additional testing and the fact that the package will be configured to suit the needs of the average user. However, it may take some time before it lands in Debian Testing and unless it's a security update, it won't appear in Debian Stable until the next release. In addition, the Debian dev teams introduce a number of changes to the configuration of the package to make it fit the rest of the OS. On one hand, it makes the entire operating system more cohesive. The downside is that it introduces bugs. Also, not every upstream developer or dev team is comfortable with releasing only security fixes outside of their regular development cycle or adhering to the development model of downstream Linux distributions (see: the XScreenSaver rant in the Debian bug report logs).
I greatly appreciate the enormous amount of work the Debian dev teams put into the distribution, however the more it diverges from the original state and intent of upstream projects, the more difficult it becomes to troubleshoot third-party software. Thereby, for the time being I decided to roll with Arch Linux. Which distribution would you pick?


If you are seeing this, then your Vagrant box is properly provisioned.
In the provision of your Vagrant box:
(This configuration was partially accomplished by replacing the contents of the apache2.conf file on the Vagrant box with the contents of the apache_edited.txt file in the project directory. This means that if you wanted to make further tweaks to the Apache settings, you could make them in apache_edited.txt and simply re-provision the Vagrant box!)
Finally, an .htaccess file was included in the src directory to configure Apache to redirect any requests for files that don't exist back to index.html.  Type some crazy path into the address bar! In fact, here's a link-- give it a try! It should redirect right back to this same file.
So go ahead and get started-- you can leverage an MV* library like Backbone to capture routes and spin up a single page application on this stack. Make sure that when you push it up to a webserver you include the .htaccess file to redirect paths. Clear out this index.html file and replace it with your apps point of entry.


A cube of size 1 x 1 x 1, filled with vertex points. Sculpt/warp it by coding the vertex shader below. For a starting point, select the "Clean Cube
" example.
Shader inputs: each vertex’s position.xyz
and color.rgb
The Red, Green and Blue sliders
over to the right? They are mapped to controls.rgb
, play with them at will.


Description
Resolves #(issue number)
What does your PR belong to?
- [ ] Questions / Answers
- [ ] Website
- [ ] General / Things regarding the repository (like CI Integration)
Types of changes
- [ ] Bug fix (non-breaking change which fixes an issue)
- [ ] Enhancement (non-breaking improvement of a question)
- [ ] New feature (non-breaking change which adds functionality)
- [ ] Breaking change (fix or feature that would cause existing functionality to change)
Checklist:
- [ ] My code follows the code style of this project.
- [ ] My change requires a change to the documentation.
- [ ] I have updated the documentation accordingly.
- [ ] I have checked that the changes are working properly
- [ ] I have checked that there isn’t any PR doing the same
- [ ] I have read the CONTRIBUTING document.


press on the grid to choose a start node, then press to choose an end node, last choose the walls, and click visualize


WITNESS LIST
Government Transparency & Operation Committee
April 5, 2016 - 10:00 AM
Commercial Cloud Computing Use
On:
Beasley, Cam (UT Austin)
Caffey, Gerry (Legislative budget board)
Garcia, Buddy (NEC Corporation of America)
Richardson, Dale (Department of information resources)
Ryland, Mark (Amazon Web Services)
Saha, Jennifer (Computing Technology Industry Assc. (CompTIA))
Registering, but not testifying:
On:
Taler, Terry (NEC)
Purchasing Practices
On:
Collins, Dana (Department of information resources)
Pounds, Bobby (Comptroller)
Pugh, Jacob (Legislative Budget Board)
Saha, Jennifer (Computing Technology Industry Assc. (CompTIA))
Woodruff, Sandra (Comptroller)
Registering, but not testifying:
On:
MacCrossan, Gerard (Comptroller)
Texas' Cyber Security Policies and Standards
On:
Block, Edward (Texas Dept of Information Resources)
Conklin, Lena (Legislative Budget Board)
Dickerson, Mary (TCEEDC)
Dickson, John (Self; Denim Group)
Neff, Brandon (Self; Innove)
White, Gregory (UT-San Antonio CIAS)
Wyatt, Michael (Deloitte & Touche llp)
Registering, but not testifying:
On:
Velasco, Nora (Legislative Budget Board)
1


|
Rendering and Animation Platform
|
Group node that can have has many sons as needed. More...
#include <Group.h>
Public Member Functions | |
| Group () | |
| Default constructor. More... | |
| virtual void | addSon (NodeInterface *son) |
| Adds a son. More... | |
| virtual void | removeSon (NodeInterface *son) |
| Removes a son. More... | |
| virtual void | draw () |
| Draws this node. More... | |
Protected Attributes | |
| ::std::vector< NodeInterface * > | m_sons |
| The sons. More... | |
Group node that can have has many sons as needed.
|
inline |
Default constructor.
|
inlinevirtual |
Adds a son.
| [in,out] | son | If non-null, the son. |
|
inlinevirtual |
Draws this node.
Implements SceneGraph::NodeInterface.
Reimplemented in SceneGraph::EulerRotation, SceneGraph::Rotate, SceneGraph::Translate, and SceneGraph::Scale.
|
inlinevirtual |
Removes a son.
| [in,out] | son | If non-null, the son. |
|
protected |
The sons.


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G
A
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pause
|
↵
Copy the text in the box to share this composition!


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CODE | DESIGN
WORK PROCESS
DISCOVER
IDEA
DESIGN
DEVELOP
TEST
LAUNCH
I am a self motivated, reliable student with great problem-solving skills looking to put those skills to good use. I pay close attention to details when translating design mockups into HTML email documents. I have an extensive working knowledge of HTML/CSS, JavaScript, Wordpress, Salesforce, Photoshop, and Sketch and am passionate about gaining more experience and improving my skills.


The United States, currently ranked the world's 14th best team, joins a very tough field in this year's World Cup. For the first time since expanding to 32 teams in 1998, the World Cup features all of the top 15 teams in the world.
Nevertheless, history likes America's chances. Of the 45 teams ranked 14th or higher that played in the last 4 World Cups, 33 advanced beyond the first round. For teams ranked between 10th and 20th, 17 out of 29 teams advanced.
Team USA even has a shot at the championship. In 2006, 13th-ranked Italy won the title. Eight years prior, France, then the 18th best team in the world, won the World Cup—albeit as the host country.
If the U.S. is going to make a run, they'll have to overcome stiff competition early. Their group features #2 Germany and #5 Portugal. Because only two teams from each group move on, the U.S. must upset a European powerhouse to advance.
Unfortunately, history suggests such an upset will be difficult. In 1998, two groups (A and F) featured two teams ranked in the top 10. All four top teams advanced to the round of 16.
There was only one such group in 2002—and again, both teams moved on.
The story repeated in 2010: In the one group with two top-ten teams, both teams advanced.
Only 2006 offers hope. Three groups had two top-ten teams in that year's tournament. They both advanced in two groups, but in one group—which, like Team USA's group this year, featured the #2 and #5 teams in the world—both teams lost.
But even 2006 isn't good news for the Americans. The #5 team that was upset in 2006? Team USA.To explore the results for other countries and years, click the links on the right to filter the graphic.


--- layout: basepage permalink: / --- {% assign descript = "KatieConf 2019 is a one day, community run conference, held in Katy, Texas on November 31, 2019." %} {% assign title = "KatieConf 2019" %} {% assign card = "home.png" | prepend: "/img/card/" | prepend: site.url -%}
KatieConf is a one day, community run conference, held in Katy, Texas on November 31, 2019.
Our conference is dedicated to providing a harassment-free conference experience for everyone, regardless of gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity, religion (or lack thereof), or technology choices. We do not tolerate harassment of conference participants in any form. Sexual language and imagery is not appropriate for any conference venue, including talks, Twitter and other online media.
We follow the JSConf/Ada Initiative Code of Conduct. A full copy of this Code is available on ConfCodeOfConduct.com
KatieConf 2019 is a free, community run event.
Seats are limited, but space is plentiful. We will be able to accomodate all attendees, but recommend you bring your own chair/seating.
Morning and afternoon tea will be provided thanks to the local Community Centre from which we are borrowing power for our projector.
KatieConf is an inclusive conference.
We accept speakers whose name is derived from the root Katherine and starts with either a "C" or a "K"
Unsure of your etymology? Check the list of variations.
KatieConf is a parody. Have you checked a calendar lately? There is no November 31st. Sorry. The town of Katy, TX does exist, though.
However, all the people featured in the KatieConf lineup are real. There are so many fantastic technical presenters who just happened to be called Katie, or a variation thereupon. All the organisers listed have put in countless hours into organising and running usergroups, conferences, meetups, podcasts and more.
If you are looking for speakers for your conference, why not ask one of the wonderful people featured here? They are all listed with a social media accounts, and a link to some of their prior talks.
Do you really need another conference lineup of all men? Or as many female speakers as speakers called Dave?
The tagline of this year's conference is in reference to the book of the same name, and is in no way an endorsement by the author of the conference. It's just a pretty good pun. (DFTBA 🖖)


In a previous post, we briefly presented a tutorial for downloading greek legislative texts using Scrapy. Having acquired and organized all law documents based on their year of publication, it is important to transform them in plain text format in order to start their analysis using natural language processing techniques. PDF is a format that is not easily processable and in order to perform the task of transformation, we introduce pdftotext, an open source utility for Linux, appropriate for such operations.
Below we present a short description of the code which implements the required transformation. The first step is to define the source (where the files exist) and the destination folder (where the plain texts will be stored). For example:
src = '/path/to/laws/folder/'
text_dest = '/path/to/destination/'
Next, we traverse all the files one by one in the source path and we call subprocess, a module that allows us to spawn new processes (it provides the same functionality as if someone was writing commands in the terminal). Here is a short description of the code:
for root, dirs, files in os.walk(src, topdown=False):
for name in files:
subprocess.call(["pdftotext", "-raw", os.path.join(root,name)])
Although the -raw is a parameter that is no longer recommended according to the tutorial, it is an important option in our transformation as our analysis showed that it keeps text in content stream order (Greek legislative texts are written in two columns). In the image below we present an example of legal content in a PDF file (left part) and its transformation in plain text (right part).
Our further analysis in the generated plain texts also designated some problems that could have a detrimental effect in further analysis and processing, some of which are:
- Absence or wrong text encoding. Some PDF files lack information about text encoding and as a result the generated texts have wrong characters. This problem occur mainly in laws published between 2000 and 2005. An extra step of character matching is needed in order to acquire the proper legal text. There are also PDF files that did not provide encoding at all (e.g. Law 4028/2011) and no character matching could be beneficial.
- Scanned Documents. Unfortunately, legislative texts before 2004 are published as scanned documents or text in other languages (e.g. laws approving international agreements) and as a result an OCR (Optical Character Recognition) processing is necessary for their transformation. These images are often of low quality, sometimes with skew positioning and contrast variation. Such a process usually introduce errors in the produced text files and require other techniques such as training other tools (e.g. tessaract) which is out of the scope of this post.
- Table data. Tables in PDF are of special concern due to the fact that there is no information about them in a format like PDF. PDF files provides no information about where headers, rows and columns begin or end, and how data is organized (as it happens for example with HTML pages through the use of tags). Table transformation revealed that data was scattered, in an unorganized way or even missing from the document, a major effect as correct and up-to-date legal data is important for further content analysis techniques.


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Zend Framework
LICENSE
This source file is subject to the new BSD license that is bundled with this package in the file LICENSE.txt. It is also available through the world-wide-web at this URL: http://framework.zend.com/license/new-bsd If you did not receive a copy of the license and are unable to obtain it through the world-wide-web, please send an email to<EMAIL_ADDRESS>so we can send you a copy immediately.
Reference concrete class that extends Zend_Db_Table_Row_Abstract.
Developers may also create their own classes that extend the abstract class.
__call(
string $method, array $args
)
:
\Zend_Db_Table_Row_Abstract|\Zend_Db_Table_Rowset_Abstract
Turn magic function calls into non-magic function calls to the above methods.
Inherited from: \Zend_Db_Table_Row_Abstract::__call()| Name | Type | Description |
|---|---|---|
| $method | string | |
| $args | array | OPTIONAL Zend_Db_Table_Select query modifier |
| Type | Description |
|---|---|
| \Zend_Db_Table_Row_Abstract\Zend_Db_Table_Rowset_Abstract |
| Exception | Description |
|---|---|
| \Zend_Db_Table_Row_Exception | If an invalid method is called. |
__construct(
array $config
=
array
)
:
void
Constructor.
Inherited from: \Zend_Db_Table_Row_Abstract::__construct()Supported params for $config are:- - table = class name or object of type Zend_Db_Table_Abstract - data = values of columns in this row.
| Name | Type | Description |
|---|---|---|
| $config | array | OPTIONAL Array of user-specified config options. |
| Exception | Description |
|---|---|
| \Zend_Db_Table_Row_Exception |
__get(
string $columnName
)
:
string
Retrieve row field value
Inherited from: \Zend_Db_Table_Row_Abstract::__get()| Name | Type | Description |
|---|---|---|
| $columnName | string | The user-specified column name. |
| Type | Description |
|---|---|
| string | The corresponding column value. |
| Exception | Description |
|---|---|
| \Zend_Db_Table_Row_Exception | if the $columnName is not a column in the row. |
__isset(
string $columnName
)
:
boolean
Test existence of row field
Inherited from: \Zend_Db_Table_Row_Abstract::__isset()| Name | Type | Description |
|---|---|---|
| $columnName | string | The column key. |
| Type | Description |
|---|---|
| boolean |
__set(
string $columnName, mixed $value
)
:
void
Set row field value
Inherited from: \Zend_Db_Table_Row_Abstract::__set()| Name | Type | Description |
|---|---|---|
| $columnName | string | The column key. |
| $value | mixed | The value for the property. |
| Exception | Description |
|---|---|
| \Zend_Db_Table_Row_Exception |
__sleep(
)
:
array
Store table, primary key and data in serialized object
Inherited from: \Zend_Db_Table_Row_Abstract::__sleep()| Type | Description |
|---|---|
| array |
__unset(
string $columnName
)
:
\Zend_Db_Table_Row_Abstract
Unset row field value
Inherited from: \Zend_Db_Table_Row_Abstract::__unset()| Name | Type | Description |
|---|---|---|
| $columnName | string | The column key. |
| Type | Description |
|---|---|
| \Zend_Db_Table_Row_Abstract |
| Exception | Description |
|---|---|
| \Zend_Db_Table_Row_Exception |
__wakeup(
)
:
void
Setup to do on wakeup.
Inherited from: \Zend_Db_Table_Row_Abstract::__wakeup()A de-serialized Row should not be assumed to have access to a live database connection, so set _connected = false.
_delete(
)
:
void
Allows pre-delete logic to be applied to row.
Inherited from: \Zend_Db_Table_Row_Abstract::_delete()Subclasses may override this method.
_doInsert(
)
:
mixed
| Type | Description |
|---|---|
| mixed | The primary key value(s), as an associative array if the key is compound, or a scalar if the key is single-column. |
_doUpdate(
)
:
mixed
| Type | Description |
|---|---|
| mixed | The primary key value(s), as an associative array if the key is compound, or a scalar if the key is single-column. |
_getPrimaryKey(
bool $useDirty
=
true
)
:
array
Retrieves an associative array of primary keys.
Inherited from: \Zend_Db_Table_Row_Abstract::_getPrimaryKey()| Name | Type | Description |
|---|---|---|
| $useDirty | bool |
| Type | Description |
|---|---|
| array |
_getTable(
)
:
\Zend_Db_Table_Abstract
Retrieves an instance of the parent table.
Inherited from: \Zend_Db_Table_Row_Abstract::_getTable()| Type | Description |
|---|---|
| \Zend_Db_Table_Abstract |
_getTableFromString(
string $tableName
)
:
\Zend_Db_Table_Abstract
_getTableFromString
Inherited from: \Zend_Db_Table_Row_Abstract::_getTableFromString()_getWhereQuery(
bool $useDirty
=
true
)
:
array
Constructs where statement for retrieving row(s).
Inherited from: \Zend_Db_Table_Row_Abstract::_getWhereQuery()| Name | Type | Description |
|---|---|---|
| $useDirty | bool |
| Type | Description |
|---|---|
| array |
_insert(
)
:
void
Allows pre-insert logic to be applied to row.
Inherited from: \Zend_Db_Table_Row_Abstract::_insert()Subclasses may override this method.
_postDelete(
)
:
void
Allows post-delete logic to be applied to row.
Inherited from: \Zend_Db_Table_Row_Abstract::_postDelete()Subclasses may override this method.
_postInsert(
)
:
void
Allows post-insert logic to be applied to row.
Inherited from: \Zend_Db_Table_Row_Abstract::_postInsert()Subclasses may override this method.
_postUpdate(
)
:
void
Allows post-update logic to be applied to row.
Inherited from: \Zend_Db_Table_Row_Abstract::_postUpdate()Subclasses may override this method.
_prepareReference(
\Zend_Db_Table_Abstract $dependentTable, \Zend_Db_Table_Abstract $parentTable, string $ruleKey
)
:
array
Prepares a table reference for lookup.
Inherited from: \Zend_Db_Table_Row_Abstract::_prepareReference()Ensures all reference keys are set and properly formatted.
| Name | Type | Description |
|---|---|---|
| $dependentTable | \Zend_Db_Table_Abstract | |
| $parentTable | \Zend_Db_Table_Abstract | |
| $ruleKey | string |
| Type | Description |
|---|---|
| array |
_refresh(
)
:
void
Refreshes properties from the database.
Inherited from: \Zend_Db_Table_Row_Abstract::_refresh()_transformColumn(
string $columnName
)
:
string
Transform a column name from the user-specified form to the physical form used in the database.
Inherited from: \Zend_Db_Table_Row_Abstract::_transformColumn()You can override this method in a custom Row class to implement column name mappings, for example inflection.
| Name | Type | Description |
|---|---|---|
| $columnName | string | Column name given. |
| Type | Description |
|---|---|
| string | The column name after transformation applied (none by default). |
| Exception | Description |
|---|---|
| \Zend_Db_Table_Row_Exception | if the $columnName is not a string. |
_update(
)
:
void
Allows pre-update logic to be applied to row.
Inherited from: \Zend_Db_Table_Row_Abstract::_update()Subclasses may override this method.
delete(
)
:
int
Deletes existing rows.
Inherited from: \Zend_Db_Table_Row_Abstract::delete()| Type | Description |
|---|---|
| int | The number of rows deleted. |
findDependentRowset(
string|\Zend_Db_Table_Abstract $dependentTable, string $ruleKey
=
null, \Zend_Db_Table_Select $select
=
null
)
:
\Zend_Db_Table_Rowset_Abstract
Query a dependent table to retrieve rows matching the current row.
Inherited from: \Zend_Db_Table_Row_Abstract::findDependentRowset()| Name | Type | Description |
|---|---|---|
| $dependentTable | string|\Zend_Db_Table_Abstract | |
| $ruleKey | string | OPTIONAL $ruleKey |
| $select | \Zend_Db_Table_Select | OPTIONAL $select |
| Type | Description |
|---|---|
| \Zend_Db_Table_Rowset_Abstract | Query result from $dependentTable |
| Exception | Description |
|---|---|
| \Zend_Db_Table_Row_Exception | If $dependentTable is not a table or is not loadable. |
findManyToManyRowset(
string|\Zend_Db_Table_Abstract $matchTable, string|\Zend_Db_Table_Abstract $intersectionTable, string $callerRefRule
=
null, string $matchRefRule
=
null, \Zend_Db_Table_Select $select
=
null
)
:
\Zend_Db_Table_Rowset_Abstract
| Name | Type | Description |
|---|---|---|
| $matchTable | string|\Zend_Db_Table_Abstract | |
| $intersectionTable | string|\Zend_Db_Table_Abstract | |
| $callerRefRule | string | OPTIONAL $callerRefRule |
| $matchRefRule | string | OPTIONAL $matchRefRule |
| $select | \Zend_Db_Table_Select | OPTIONAL $select |
| Type | Description |
|---|---|
| \Zend_Db_Table_Rowset_Abstract | Query result from $matchTable |
| Exception | Description |
|---|---|
| \Zend_Db_Table_Row_Exception | If $matchTable or $intersectionTable is not a table class or is not loadable. |
findParentRow(
string|\Zend_Db_Table_Abstract $parentTable, string $ruleKey
=
null, \Zend_Db_Table_Select $select
=
null
)
:
\Zend_Db_Table_Row_Abstract
Query a parent table to retrieve the single row matching the current row.
Inherited from: \Zend_Db_Table_Row_Abstract::findParentRow()| Name | Type | Description |
|---|---|---|
| $parentTable | string|\Zend_Db_Table_Abstract | |
| $ruleKey | string | OPTIONAL $ruleKey |
| $select | \Zend_Db_Table_Select | OPTIONAL $select |
| Type | Description |
|---|---|
| \Zend_Db_Table_Row_Abstract | Query result from $parentTable |
| Exception | Description |
|---|---|
| \Zend_Db_Table_Row_Exception | If $parentTable is not a table or is not loadable. |
getTable(
)
:
\Zend_Db_Table_Abstract|null
Returns the table object, or null if this is disconnected row
Inherited from: \Zend_Db_Table_Row_Abstract::getTable()| Type | Description |
|---|---|
| \Zend_Db_Table_Abstractnull |
getTableClass(
)
:
string
Query the class name of the Table object for which this Row was created.
Inherited from: \Zend_Db_Table_Row_Abstract::getTableClass()| Type | Description |
|---|---|
| string |
init(
)
:
void
Initialize object
Inherited from: \Zend_Db_Table_Row_Abstract::init()Called from {@link __construct()} as final step of object instantiation.
isConnected(
)
:
boolean
Test the connected status of the row.
Inherited from: \Zend_Db_Table_Row_Abstract::isConnected()| Type | Description |
|---|---|
| boolean |
isReadOnly(
)
:
boolean
Test the read-only status of the row.
Inherited from: \Zend_Db_Table_Row_Abstract::isReadOnly()| Type | Description |
|---|---|
| boolean |
offsetExists(
string $offset
)
:
boolean
Proxy to __isset Required by the ArrayAccess implementation
Inherited from: \Zend_Db_Table_Row_Abstract::offsetExists()| Name | Type | Description |
|---|---|---|
| $offset | string |
| Type | Description |
|---|---|
| boolean |
offsetGet(
string $offset
)
:
string
Proxy to __get Required by the ArrayAccess implementation
Inherited from: \Zend_Db_Table_Row_Abstract::offsetGet()| Name | Type | Description |
|---|---|---|
| $offset | string |
| Type | Description |
|---|---|
| string |
offsetSet(
string $offset, mixed $value
)
:
void
Proxy to __set Required by the ArrayAccess implementation
Inherited from: \Zend_Db_Table_Row_Abstract::offsetSet()| Name | Type | Description |
|---|---|---|
| $offset | string | |
| $value | mixed |
offsetUnset(
string $offset
)
:
void
Proxy to __unset Required by the ArrayAccess implementation
Inherited from: \Zend_Db_Table_Row_Abstract::offsetUnset()| Name | Type | Description |
|---|---|---|
| $offset | string |
refresh(
)
:
void
Refreshes properties from the database.
Inherited from: \Zend_Db_Table_Row_Abstract::refresh()save(
)
:
mixed
Saves the properties to the database.
Inherited from: \Zend_Db_Table_Row_Abstract::save()This performs an intelligent insert/update, and reloads the properties with fresh data from the table on success.
| Type | Description |
|---|---|
| mixed | The primary key value(s), as an associative array if the key is compound, or a scalar if the key is single-column. |
select(
)
:
\Zend_Db_Table_Select
Returns an instance of the parent table's Zend_Db_Table_Select object.
Inherited from: \Zend_Db_Table_Row_Abstract::select()| Type | Description |
|---|---|
| \Zend_Db_Table_Select |
setFromArray(
array $data
)
:
\Zend_Db_Table_Row_Abstract
Sets all data in the row from an array.
Inherited from: \Zend_Db_Table_Row_Abstract::setFromArray()| Name | Type | Description |
|---|---|---|
| $data | array |
| Type | Description |
|---|---|
| \Zend_Db_Table_Row_Abstract | Provides a fluent interface |
setReadOnly(
boolean $flag
)
:
boolean
Set the read-only status of the row.
Inherited from: \Zend_Db_Table_Row_Abstract::setReadOnly()| Name | Type | Description |
|---|---|---|
| $flag | boolean |
| Type | Description |
|---|---|
| boolean |
setTable(
\Zend_Db_Table_Abstract $table
=
null
)
:
boolean
Set the table object, to re-establish a live connection to the database for a Row that has been de-serialized.
Inherited from: \Zend_Db_Table_Row_Abstract::setTable()| Name | Type | Description |
|---|---|---|
| $table | \Zend_Db_Table_Abstract |
| Type | Description |
|---|---|
| boolean |
| Exception | Description |
|---|---|
| \Zend_Db_Table_Row_Exception |
toArray(
)
:
array
Returns the column/value data as an array.
Inherited from: \Zend_Db_Table_Row_Abstract::toArray()| Type | Description |
|---|---|
| array |


Stefano DiMera is back! The most famous villain from 'Days of Our Lives' makes his return!
Cape Town - Days of Our Lives is bringing Stefano DiMera back!
According to a tweet by the Days of Our Live account, TV's most famous villain will make an "eerie" return.
WATCH A SNEAK PEAK IN THEIR TWEET HERE:
Stefano was originally played by Joseph Mascolo, reports Daily Soap Dish, who died at the age of 87 in December 2016.
Viewers were made to believe that his character was killed by Hope after she held him responsible for Bo's death, however, in 2017, it appears Stefano may have actually faked his death. Now, in 2019, Stefano returns to Salem, this time in the form of Steve Johnson (Stephen Nichols) with the help of Princess Gina (Kristian Alfonso who also plays Hope) and Dr Rolf (William Utay).
And to think, this isn't even the strangest of storylines. Read the 6 Days of Our Lives storylines we'll never forget here.
Compiled by Bashiera Parker (Sources: Twitter , Daily Soap Dish )
(Photo: NBC)


Actions, resources, and condition keys for Amazon WorkMail
Amazon WorkMail (service prefix:
workmail
) provides the following service-specific resources, actions, and condition context keys for use in IAM permission policies.
References:
-
Learn how to configure this service .
-
View a list of the API operations available for this service .
-
Learn how to secure this service and its resources by using IAM permission policies.
Topics
Actions defined by Amazon WorkMail
You can specify the following actions in the
Action
element of an IAM policy statement. Use policies to grant permissions to perform an operation in AWS. When you use an action in a policy, you usually allow or deny access to the API operation or CLI command with the same name. However, in some cases, a single action controls access to more than one operation. Alternatively, some operations require several different actions.
The
Resource types
column of the Actions table indicates whether each action supports resource-level permissions. If there is no value for this column, you must specify all resources ("*") to which the policy applies in the
Resource
element of your policy statement. If the column includes a resource type, then you can specify an ARN of that type in a statement with that action. If the action has one or more required resources, the caller must have permission to use the action with those resources. Required resources are indicated in the table with an asterisk (*). If you limit resource access with the
Resource
element in an IAM policy, you must include an ARN or pattern for each required resource type. Some actions support multiple resource types. If the resource type is optional (not indicated as required), then you can choose to use one of the optional resource types.
The
Condition keys
column of the Actions table includes keys that you can specify in a policy statement's
Condition
element. For more information on the condition keys that are associated with resources for the service, see the
Condition keys
column of the Resource types table.
For details about the columns in the following table, see Actions table .
| Actions | Description | Access level | Resource types (*required) | Condition keys | Dependent actions |
|---|---|---|---|---|---|
| AddMembersToGroup [permission only] | Grants permission to add a list of members (users or groups) to a group | Write | |||
| AssociateDelegateToResource | Grants permission to add a member (user or group) to the resource's set of delegates | Write | |||
| AssociateMemberToGroup | Grants permission to add a member (user or group) to the group's set | Write | |||
| AssumeImpersonationRole | Grants permission to assume an impersonation role for the given Amazon WorkMail organization | Write | |||
| CancelMailboxExportJob | Grants permission to cancel a currently running mailbox export job | Write | |||
| CreateAlias | Grants permission to add an alias to the set of a given member (user or group) of WorkMail | Write | |||
| CreateAvailabilityConfiguration | Grants permission to create an AvailabilityConfiguration for the given Amazon WorkMail organization and domain | Write | |||
| CreateGroup | Grants permission to create a group that can be used in WorkMail by calling the RegisterToWorkMail operation | Write | |||
| CreateImpersonationRole | Grants permission to create an impersonation role for the given Amazon WorkMail organization | Write | |||
| CreateInboundMailFlowRule [permission only] | Grants permission to create an inbound email flow rule which will apply to all email sent to an organization | Write | |||
| CreateMailDomain [permission only] | Grants permission to create a mail domain | Write | |||
| CreateMailUser [permission only] | Grants permission to create a user in the directory | Write | |||
| CreateMobileDeviceAccessRule | Grants permission to create a new mobile device access rule | Write | |||
| CreateOrganization | Grants permission to create a new Amazon WorkMail organization | Write | |||
| CreateOutboundMailFlowRule [permission only] | Grants permission to create an outbound email flow rule which will apply to all email sent from an organization | Write | |||
| CreateResource | Grants permission to create a new WorkMail resource | Write | |||
| CreateSmtpGateway [permission only] | Grants permission to register an SMTP gateway to a WorkMail organization | Write | |||
| CreateUser | Grants permission to create a user, which can be enabled afterwards by calling the RegisterToWorkMail operation | Write | |||
| DeleteAccessControlRule | Grants permission to delete an access control rule | Write | |||
| DeleteAlias | Grants permission to remove one or more specified aliases from a set of aliases for a given user | Write | |||
| DeleteAvailabilityConfiguration | Grants permission to delete the AvailabilityConfiguration for the given Amazon WorkMail organization and domain | Write | |||
| DeleteEmailMonitoringConfiguration | Grants permission to delete the email monitoring configuration for an organization | Write | |||
| DeleteGroup | Grants permission to delete a group from WorkMail | Write | |||
| DeleteImpersonationRole | Grants permission to delete an impersonation role for the given Amazon WorkMail organization | Write | |||
| DeleteInboundMailFlowRule [permission only] | Grants permission to remove an inbound email flow rule to no longer apply to emails sent to an organization | Write | |||
| DeleteMailDomain [permission only] | Grants permission to remove an unused mail domain from an organization | Write | |||
| DeleteMailboxPermissions | Grants permission to delete permissions granted to a member (user or group) | Write | |||
| DeleteMobileDevice [permission only] | Grants permission to remove a mobile device from a user | Write | |||
| DeleteMobileDeviceAccessOverride | Grants permission to delete a mobile device access override | Write | |||
| DeleteMobileDeviceAccessRule | Grants permission to delete a mobile device access rule | Write | |||
| DeleteOrganization | Grants permission to delete an Amazon WorkMail organization and all underlying AWS resources managed by Amazon WorkMail as part of the organization | Write | |||
| DeleteOutboundMailFlowRule [permission only] | Grants permission to remove an outbound email flow rule so that it no longer applies to emails sent from an organization | Write | |||
| DeleteResource | Grants permission to delete the specified resource | Write | |||
| DeleteRetentionPolicy | Grants permission to delete the retention policy based on the supplied organization and policy identifiers | Write | |||
| DeleteSmtpGateway [permission only] | Grants permission to remove an SMTP gateway from an organization | Write | |||
| DeleteUser | Grants permission to delete a user from WorkMail and all subsequent systems | Write | |||
| DeregisterFromWorkMail | Grants permission to mark a user, group, or resource as no longer used in WorkMail | Write | |||
| DeregisterMailDomain | Grants permission to deregister a mail domain from an organization | Write | |||
| DescribeDirectories [permission only] | Grants permission to show a list of directories available for use in creating an organization | List | |||
| DescribeEmailMonitoringConfiguration | Grants permission to retrieve the email monitoring configuration for an organization | Read | |||
| DescribeGroup | Grants permission to read the details for a group | List | |||
| DescribeInboundDmarcSettings | Grants permission to read the settings in a DMARC policy for a specified organization | Read | |||
| DescribeInboundMailFlowRule [permission only] | Grants permission to read the details of an inbound mail flow rule configured for an organization | Read | |||
| DescribeKmsKeys [permission only] | Grants permission to show a list of KMS Keys available for use in creating an organization | List | |||
| DescribeMailDomains [permission only] | Grants permission to show the details of all mail domains associated with the organization | List | |||
| DescribeMailGroups [permission only] | Grants permission to show the details of all groups associated with the organization | List | |||
| DescribeMailUsers [permission only] | Grants permission to show the details of all users associated with the organization | List | |||
| DescribeMailboxExportJob | Grants permission to retrieve details of a mailbox export job | Read | |||
| DescribeOrganization | Grants permission to read details of an organization | List | |||
| DescribeOrganizations [permission only] | Grants permission to show a summary of all organizations associated with the account | List | |||
| DescribeOutboundMailFlowRule [permission only] | Grants permission to read the details of an outbound mail flow rule configured for an organization | Read | |||
| DescribeResource | Grants permission to read the details for a resource | List | |||
| DescribeSmtpGateway [permission only] | Grants permission to read the details of an SMTP gateway registered to an organization | Read | |||
| DescribeUser | Grants permission to read details for a user | List | |||
| DisableMailGroups [permission only] | Grants permission to disable a mail group when it is not being used, in order to allow it to be deleted | Write | |||
| DisableMailUsers [permission only] | Grants permission to disable a user mailbox when it is no longer being used, in order to allow it to be deleted | Write | |||
| DisassociateDelegateFromResource | Grants permission to remove a member from the resource's set of delegates | Write | |||
| DisassociateMemberFromGroup | Grants permission to remove a member from a group | Write | |||
| EnableMailDomain [permission only] | Grants permission to enable a mail domain in the organization | Write | |||
| EnableMailGroups [permission only] | Grants permission to enable a mail group after it has been created to allow it to receive mail | Write | |||
| EnableMailUsers [permission only] | Grants permission to enable a user's mailbox after it has been created to allow it to receive mail | Write | |||
| GetAccessControlEffect | Grants permission to get the effects of access control rules as they apply to a specified IPv4 address, access protocol action, or user ID | Read | |||
| GetDefaultRetentionPolicy | Grants permission to retrieve the retention policy associated at an organizational level | Read | |||
| GetImpersonationRole | Grants permission to retrieve an impersonation role for the given Amazon WorkMail organization | Read | |||
| GetImpersonationRoleEffect | Grants permission to get the effect of the rules associated to an impersonation role for a specific user | Read | |||
| GetJournalingRules [permission only] | Grants permission to read the configured journaling and fallback email addresses for email journaling | Read | |||
| GetMailDomain | Grants permission to retrieve details of a given mail domain in an organization | Read | |||
| GetMailDomainDetails [permission only] | Grants permission to get the details of the mail domain | Read | |||
| GetMailGroupDetails [permission only] | Grants permission to get the details of the mail group | Read | |||
| GetMailUserDetails [permission only] | Grants permission to get the details of the user's mailbox and account | Read | |||
| GetMailboxDetails | Grants permission to read the details of the user's mailbox | Read | |||
| GetMobileDeviceAccessEffect | Grants permission to simulate the effect of the mobile device access rules for the given attributes of a sample access event | Read | |||
| GetMobileDeviceAccessOverride | Grants permission to retrieve a mobile device access override | Read | |||
| GetMobileDeviceDetails [permission only] | Grants permission to get the details of the mobile device | Read | |||
| GetMobileDevicesForUser [permission only] | Grants permission to get a list of the mobile devices associated with the user | Read | |||
| GetMobilePolicyDetails [permission only] | Grants permission to get the details of the mobile device policy associated with the organization | Read | |||
| ListAccessControlRules | Grants permission to list the access control rules | Read | |||
| ListAliases | Grants permission to list the aliases associated with a given entity | List | |||
| ListAvailabilityConfigurations | Grants permission to list all the AvailabilityConfiguration's for the given Amazon WorkMail organization | Read | |||
| ListGroupMembers | Grants permission to read an overview of the members of a group. Users and groups can be members of a group | List | |||
| ListGroups | Grants permission to list summaries of the organization's groups | List | |||
| ListImpersonationRoles | Grants permission to list the impersonation roles for the given Amazon WorkMail organization | List | |||
| ListInboundMailFlowRules [permission only] | Grants permission to list inbound mail flow rules configured for an organization | List | |||
| ListMailDomains | Grants permission to list the mail domains for a given organization | List | |||
| ListMailboxExportJobs | Grants permission to list mailbox export jobs | List | |||
| ListMailboxPermissions | Grants permission to list the mailbox permissions associated with a user, group, or resource mailbox | List | |||
| ListMembersInMailGroup [permission only] | Grants permission to get a list of all the members in a mail group | Read | |||
| ListMobileDeviceAccessOverrides | Grants permission to list the mobile device access overrides | Read | |||
| ListMobileDeviceAccessRules | Grants permission to list the mobile device access rules | Read | |||
| ListOrganizations | Grants permission to list the non-deleted organizations | List | |||
| ListOutboundMailFlowRules [permission only] | Grants permission to list outbound mail flow rules configured for an organization | List | |||
| ListResourceDelegates | Grants permission to list the delegates associated with a resource | List | |||
| ListResources | Grants permission to list the organization's resources | List | |||
| ListSmtpGateways [permission only] | Grants permission to list SMTP gateways registered to the organization | List | |||
| ListTagsForResource | Grants permission to list the tags applied to an Amazon WorkMail organization resource | List | |||
| ListUsers | Grants permission to list the organization's users | List | |||
| PutAccessControlRule | Grants permission to add a new access control rule | Write | |||
| PutEmailMonitoringConfiguration | Grants permission to add or update the email monitoring configuration for an organization | Write | |||
| PutInboundDmarcSettings | Grants permission to enable or disable a DMARC policy for a given organization | Write | |||
| PutMailboxPermissions | Grants permission to set permissions for a user, group, or resource, replacing any existing permissions | Write | |||
| PutMobileDeviceAccessOverride | Grants permission to add or update a mobile device access override | Write | |||
| PutRetentionPolicy | Grants permission to add or update the retention policy | Write | |||
| RegisterMailDomain | Grants permission to register a new mail domain in an organization | Write | |||
| RegisterToWorkMail | Grants permission to register an existing and disabled user, group, or resource for use by associating a mailbox and calendaring capabilities | Write | |||
| RemoveMembersFromGroup [permission only] | Grants permission to remove members from a mail group | Write | |||
| ResetPassword | Grants permission to allow the administrator to reset the password for a user | Write | |||
| ResetUserPassword [permission only] | Grants permission to reset the password for a user's account | Write | |||
| SearchMembers [permission only] | Grants permission to perform a prefix search to find a specific user in a mail group | Read | |||
| SetAdmin [permission only] | Grants permission to mark a user as being an administrator | Write | |||
| SetDefaultMailDomain [permission only] | Grants permission to set the default mail domain for the organization | Write | |||
| SetJournalingRules [permission only] | Grants permission to set journaling and fallback email addresses for email journaling | Write | |||
| SetMailGroupDetails [permission only] | Grants permission to set the details of the mail group which has just been created | Write | |||
| SetMailUserDetails [permission only] | Grants permission to set the details for the user account which has just been created | Write | |||
| SetMobilePolicyDetails [permission only] | Grants permission to set the details of a mobile policy associated with the organization | Write | |||
| StartMailboxExportJob | Grants permission to start a new mailbox export job | Write | |||
| TagResource | Grants permission to tag the specified Amazon WorkMail organization resource | Tagging | |||
| TestAvailabilityConfiguration | Grants permission to performs a test on an availability provider to ensure that access is allowed | Read | |||
| TestInboundMailFlowRules [permission only] | Grants permission to test what inbound rules will apply to an email with a given sender and recipient | Write | |||
| TestOutboundMailFlowRules [permission only] | Grants permission to test what outbound rules will apply to an email with a given sender and recipient | Write | |||
| UntagResource | Grants permission to untag the specified Amazon WorkMail organization resource | Tagging | |||
| UpdateAvailabilityConfiguration | Grants permission to update an existing AvailabilityConfiguration for the given Amazon WorkMail organization and domain | Write | |||
| UpdateDefaultMailDomain | Grants permission to update which domain is the default domain for an organization | Write | |||
| UpdateImpersonationRole | Grants permission to update an existing impersonation role for the given Amazon WorkMail organization | Write | |||
| UpdateInboundMailFlowRule [permission only] | Grants permission to update the details of an inbound email flow rule which will apply to all email sent to an organization | Write | |||
| UpdateMailboxQuota | Grants permission to update the maximum size (in MB) of the user's mailbox | Write | |||
| UpdateMobileDeviceAccessRule | Grants permission to update a mobile device access rule | Write | |||
| UpdateOutboundMailFlowRule [permission only] | Grants permission to update the details of an outbound email flow rule which will apply to all email sent from an organization | Write | |||
| UpdatePrimaryEmailAddress | Grants permission to update the primary email for a user, group, or resource | Write | |||
| UpdateResource | Grants permission to update details for the resource | Write | |||
| UpdateSmtpGateway [permission only] | Grants permission to update the details of an existing SMTP gateway registered to an organization | Write | |||
| WipeMobileDevice [permission only] | Grants permission to remotely wipe the mobile device associated with a user's account | Write |
Resource types defined by Amazon WorkMail
The following resource types are defined by this service and can be used in the
Resource
element of IAM permission policy statements. Each action in the
Actions table
identifies the resource types that can be specified with that action. A resource type can also define which condition keys you can include in a policy. These keys are displayed in the last column of the Resource types table. For details about the columns in the following table, see
Resource types table
.
| Resource types | ARN | Condition keys |
|---|---|---|
| organization |
arn:$
{
Partition}:workmail:$
{
Region}:$
{
Account}:organization/$
{
ResourceId}
|
Condition keys for Amazon WorkMail
Amazon WorkMail defines the following condition keys that can be used in the
Condition
element of an IAM policy. You can use these keys to further refine the conditions under which the policy statement applies. For details about the columns in the following table, see
Condition keys table
.
To view the global condition keys that are available to all services, see Available global condition keys .
| Condition keys | Description | Type |
|---|---|---|
| aws:RequestTag/${TagKey} | Filters access by the tag key-value pairs that are passed in the request | String |
| aws:ResourceTag/${TagKey} | Filters access by the tag key-value pairs attached to the resource | String |
| aws:TagKeys | Filters access by the tag keys that are passed in the request | ArrayOfString |


SpreadSheet Application
Add Row
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Please Upload your file


WordPress Sample Code on GitHub
Considering #WordPress Plugin Development? Do a search on GitHub for “WordPress plugin“ and find all the sample code you ever wanted.
Considering #WordPress Plugin Development? Do a search on GitHub for “WordPress plugin“ and find all the sample code you ever wanted.


Italian footballers ‘show domestic violence red card’
by Agency ReportFootballers in Italy took to the pitch Saturday with a red streak on their cheeks as part of an initiative targeting domestic violence against women.
The campaign coincides with Monday’s ‘International Day for the Elimination of Violence Against Women’.

The ‘Give violence against women the red card’ (#unrossoallaviolenza) initiative is being organised by the Lega Serie A together with Italian humanitarian organisation WeWorld Onlus.
Players and referees at weekend games will be accompanied onto the pitch by girls and have a red mark smeared on their faces to raise public awareness of violence against women.
“In every stadium, a banner will be displayed to make people aware that the most important red card to give is the one against violence to women,” the Lega Serie A said in a statement.
In Italy, 142 women were killed from domestic violence in 2018, according to Italian research institute Eures.
In the last five years, 538,000 women were the victims of physical or sexual abuse by their partners, according to Italy’s national statistics agency.
AFP


There is much more than what you see here! Visit the documentation to see all the components features and for the implementation instructions.


{% extends "playaevents/base.html" %} {% load i18n playaevents_tags %} {% block head_title %}{% trans "Welcome" %}{% endblock %} {% block tab_id %}id="home_tab"{% endblock %} {% block body %}
To submit an event, please login or sign up for an account.
{% else %}{% if year.year|is_current_year %}
{% endif %} {% endif %} {% if my_events %}View/edit the events you have created for {{ year.year }}.
{% endif %}You do not need to have an account if you want to browse events that are being planned by Black Rock City citizens for {{ year.year }}.
All events will be moderated before posting them online. It may take 24-48 hours for your event to be moderated, so please don't panic if you don't see it in the calendar immediately.
The event submission form will be available through the event, but only those submitted before July 1st (or the first 960 received, whichever comes first) will also be included in the What Where When, the printed playa events guide that's handed out at the Greeters' Station.
See you on playa!
{% endblock %}


High Fever
The fever can go upto 104 degree Fahrenheit.
Fever, Cough, Headache, Shortness of Breadth
The fever can go upto 104 degree Fahrenheit.
Cough and cold, congestion in the nasal area.
Sore throat is another one of the most frequently occuring symptom.
Headache and difficulty in focusing the screen is another frequently occuring symptom.
Stay home from work or school until you are free of fever, signs of a fever, and any other symptoms for at least 24 hours and without the use of fever-reducing or other symptom-altering medications. Seek medical attention if you have reason to believe you have been exposed to coronavirus or influenza. Call your healthcare provider before visiting a healthcare facility.


Demo presenting a functionality of answering incoming calls in the browser.
After the component is ready to use, you can call the number connected with your Twilio application, and
pick
up the phone here.
The call will be automatically picked up on incoming connection.
To hand up a call, press the 'Hang Up' button.
With twilio demo account, it is sometimes necessary to press 'Any Key', in order to continue with the call.
There is a button for this as well.
Phone Number: {{phoneNumber}}


New Car Registered Sucessfully!
VIN:
{{vin}}
Brand:
{{brand}}
Vehicle Type:
{{v_type}}
Energy Source:
{{energy_source}}
Daily Price:
{{d_price}}
Availability:
Avaliable


Share a Ride, Save your Money
With Mo'Go, you can easily get a ride and cut down on your transportation cost
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Welcome to Film Store 🏬
You can choose between Film | Actor
≫ Films 🎥
Jurassic Park
Spider-Man
King Kong
Titanic
Transformers
≫ Actors 👨🏼🎤
Tom Cruise
Sam Neill
Laura Dern
Jeff Goldblum
Tobey Maguire


I am a highschool student with a interest in pursuing Game Development.
I was able to learn to code with a group of other girls with similar interest in coding.
Mishion Statement:To create a nurturing community of life long learners who can strive successfully to achieve their highest intellectual, emotional, social and ethical potential; To develop an environment where students construct meaning by actively participating in the learning process, embracing academic excellence, high moral values, and proper social behaviors; To implement an intellectually challenging core curriculum, focusing on reading, math, and modern technology; To develop productive partnerships among students, parents, teachers, and community."
Collaboratively administrate empowered markets via plug-and-play networks. Dynamically procrastinate B2C users after installed base benefits. Dramatically visualize customer directed convergence without revolutionary ROI.
GPA: 2.66
Apart from learning Game Development. I am intrested in learning new coding languages and diffrent medias of art.I am also intrested in practicing how to create my own videogames.
Besides being inside all day i also have an intrest in some outdoor activities for example playing Banminton and volleyball.


|
clinSiGHT Tutorials
Process Flows
Process Guides
Quick References
Accessing and Submitting Reports Process
Alerts - page 1
Alerts - page 2
Drug Accountability and Reconciliation - page 1
Drug Accountability and Reconciliation - page 2
Early Study Start Up / PSE
Forms and Reports
Issue Management - page 1
Issue Management - page 2
Late Study Start-Up / SIV
Manage Study / SMV - page 1
Manage Study / SMV - page 2
Management Reports - page 1
Management Reports - page 2
New Site ID / PSA - page 1
New Site ID / PSA - page 2
On-Site Investigator File Form (OSIFF)
Online and Offline Functionality
Protocol Deviations
Protocol Exceptions
Scheduling, Updating and Deleting Visits - page 1
Scheduling, Updating and Deleting Visits - page 2
Significant Ad-hoc Site Contact
Close Study
Site Monitoring Plan - page 1
Site Monitoring Plan - page 2
Site Monitor Manager & Manager Site Management Navigation - page 1
Site Monitor Manager & Manager Site Management Navigation - page 2
Site Monitor & Site Manager Navigation - page 1
Site Monitor & Site Manager Navigation - page 2
Opening Page
|


This year was my junior year in high school, and I got sick of the blandness of everything and decided to try as many drugs as I could get my hands on. Coming from a tiny town, there wasn't much available, and at my boarding school (which has an incredibly harsh drug/alcohol policy) it's hard to get my hands on Motrin, let alone any recreational drugs.
I took Ritalin/Adderall and other similar medications from second grade through ninth, and thus had a high tolerance towards stimulants. As is the case with many students, I started taking caffeine pills not for the drug value but to stay up late. However, I found that they made me both happy and alert (I had been having issues with depression as well as sleep deprivation) so, having discovered a gold mine, I indulged in quite a few Vivarin a day.
At some point I started snorting it, which usually did nothing for me other than sting my nose, but occasionally if I inhaled enough and sharply enough, it would leave me with a pleasant feeling of high energy, happiness, and a little shaking for about a half hour.
By the time December rolled around, I was taking four pills at a time, and on the mornings when I forgot to grab them, my concentration and my vision would waver in class, and I would 'zone out' and be quite irritable. A friend of mine became 'concerned' and took my box of Vivarin from me; however, a weekend trip to New York procurred not only more but also a bottle of Vodka.
This is where the fun begins; suffering from withdrawel, I popped in five pills at once, and within 45 minutes we (my friends and I) were back in the dorm and drinking our bottle. I don't get a chance to drink all that often, so I more or less hogged the bottle and drank very quickly. I mistakenly thought I could handle a lot, having gauged my tolerance for beer that summer over a couple of JDs; however, I was wrong, and pretty soon (half an hour)was completely drunk. I had two more pills in the process of getting drunk, and soon my entire body was numb. There were an amount of people in the room, and we were all drunk and we all acted it as well; however, I was notably the only one who was trembling on and off. It was an odd feeling, because between the numbness and the shaking my entire body just felt like it was made out of strings, and someone was giving them a bunch of good tugs.
My mind was in a fairly odd state at the time; asides from the usual symptoms of drunkeness, everything just seemed to be speeding by incredibly quickly. One of my sober friends walked me to my room, trying to keep any dorm staff from noticing- they didn't thank goodness.
Oddly enough, it was easy to fall asleep but I woke up an hour later, as curious dorm inhabitant came to my room to play games with my mind.  My mind couldn't stay on one subject for any amount of time, and I simply lay in my bed for about four hours, just shaking, until I eventually fell asleep from exhaustion.
I woke up the next morning, and I had the occasional tremble back. I was moody, etc, but I had managed through the whole thing without either vomitting or acquiring much of a headache, so I felt some pride. Of course, I was tired, so more caffeine pills. I spent much of the day dizzy and lost, and I couldn't concentrate on anything, so I paid for my behavior.
It was incredibly unpleasant to be concious through four hours of shaking, and I was truly afraid that it wouldn't stop; though oddly enough I never panicked.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.