A version control system is the way changes to files, documents, computer programs, websites and other information gets managed. These changes are documented by their revision number. These revisions are accompanied with a timestamp and who was making the revisions. This creates a much easier way for files to be stored that have had many different edits done to it. It is hard to keep hundreds and hundreds of files organized unless you use the version control system. This is especially important to coders who are dealing with files and editing them constantly. This topic interested me because I didn’t know there was such a system to organize files and keep track of revisions like this. It’s relevant to the course because this is a very helpful tool to those in this industry of coding.
Git is a version control system that is used to track changes among computer files and coordinate these changes among multiple people. This allows for more than one person to work on certain files and there not be any confusion or disruption. It is made to be fast and efficient, uphold the integrity of the data being entered and helps the workflow of multiple people on the same file. This interested me for a similar reason as VCS did. I did not know there were systems for this type of file management. I feel that this is crucial for anyone working in software development, especially if it is within a team.
A remote repository is a repository that resides on a remote server that is shared among multiple people. The purpose of this is to publish the code you have made to the public and allow them to read or write it. This is when you git push your commits to a remote repository or when you git push someone else’s commits from it. I thought this was interesting because this allows multiple people to work on a project rather than just one person. This is relevant to our course because many people who are coding are most likely working in a team.
A local repository is different than a remote repository. A local repository is one that resides on a local machine of an individual user. The main difference between these two repositories is that one allows for multiple people to access and edit the code and one only allows for one person to access it. You can create a local repository by creating a brand new one or closing an existing remote repository onto your own machine. I found this one interesting because you can take from a remote repository and put it into your own where only you can access and edit it. This is relevant to our course because this teaches us that we can pull from other repositories.
There are a wide varied of GIT commands that can be used. The basic commands include git init, git add, git commit, git log and git status. The remote commands include git remote, git pull and git push. The git add command takes what you have on your working copy and adds it to a staging area or “cache”. Git commit means you are adding it to the local repository. Git push will take that file from the local to the remote repository. Those are just a few of the commands that are used. This is relevant to our course because we are working with GIT and it teaches us what these commands do exactly when we are coding them.


This is the north pane, closable, slidable and resizable
Group 1
Group 2
Group 3
Group 1 Content
Group 2 Content
Group 3 Content
This is the west pane, closable, slidable and resizable


This is a list of all the students you are responsible for.
Manage My Students
You are currently not managing any students. Click here to start selecting students.


WHS Wayshak Fab Lab
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My First Website!!
My First Website!!
My First Website!!
My First Website!!
My First Website!!
My First Website!!
Click me, Do it, Do it, Please, Do it.
Yes, this is a parapgraph about stuff... It's not really a paragraph yet because it's only 2 sentences; however, by the end of this rant, it should hopefully be a paragraph. Right about now it's turning into a paragraph.
- This is an item
- You could put an image here
- This is also an item in a list


Puzzle 1 part 1
An ant crawls along the edges of a box starting from point A and finishing at point B.
The ant can crawl along any solid edge, but not along those marked with a dotted line.
A
B
This puzzle is so simple that it barely counts as a puzzle.
Puzzle 1 part 2
An ant crawls along the edges of a box starting from point A and finishing at point B
(see diagram below).
There are six directions in which the ant can move
as it travels from one corner to an adjacent corner.
(Clearly, at any one corner, the ant only has a choice of three of these six directions.)
- Up
- Down
- Left
- Right
- Away (from the observer)
- Toward (the observer)
If the following restrictions apply, how can the ant get from A to B.
- In the first move the ant must move upwards from A (it is not allowed to move right nor away.)
- In the last move the ant must move upwards toward B (is not allowed to move right nor away.)
- The ant is not allowed to visit the same corner twice.
A
B
This is slightly more challenging; but if we simply cross out the four lines that ant isn't allowed to move along
(two from A and two towards B),
then we can see that it is the trivial puzzle we saw in part 1
(drawn in a slightly different way).
A
B
Lesson 1 – Eliminate the Impossible
The technique we used to solve Puzzle 1 (part 2) is one of the most crucial techniques in all puzzle-solving:
eliminate the impossible. One we had done this, the solution became clear.


Attempts
Main page
2019-12-08
p5js :: circles
2019-11-27
p5js :: rose
2019-11-19
p5js :: fractal tree
2019-11-11
p5js :: worley noise(voronoi)
2019-11-07
p5js :: simplex noise
2019-11-07
p5js :: perlin noise
2019-11-07
p5js :: triangles
2019-11-04
p5js :: regular squares
2019-11-03
p5js :: squares


Make sure your microphone is plugged into the audio jack and that you are in a quiet environment before performing this test.
Activate Test
Test1:
Test2:
Test3:
Test4:


{% extends "base.html" %} {% load staticfiles i18n %}
Welcome to 'Perfect body'. In case you have no idea how to read a healthy lifestyle, this application would suit you best!


Planned changes
- Make things faster!
- Use the C/C++ port of Sass when it has matured enough.
- Use a cache manifest and revision filenames.
- Make it possible to validate HTML through W3C.
- Notify of new updates when using the CLI.
Known bugs
- When using
<code>
blocks, some characters (such as <
) will crash the building process.
- Adding a new folder into any watched directory (such as
sass
or js
) crashes the building process.
- Newly added files sometimes escape the watch, thus requiring you to quit and restart the process.
Any bugs can be added through the Github issues page.


SEARCH A TOOL
Disconnected
Login
To access the tool editor, you must first
login with your GiHub account
You can also review your access to the APP :
https://github.com/settings/applications


Improving the lives of many through technology
From websites to complex mission critical systems, we have the skills, tools and knowledge to deliver great results in time and quality.
Need more info? Contact us.
We don't stop at what we're doing today.
Our ambition in the long term is to improve our country's quality of life and ultimately, improve the lives of many throughout the world
Starting from simple topographic drones, we're following the international trend of exploring beyond our terrestrial boundaries.


These views allows you to create some todos list with tasks.
This is a good example on how to use Akita's store to help data management.
All these stores use the Akita's local storage feature to keep your data persistent and it is better than just mocking the data.
There is no such thing as a real database behind it, this is a 100% Front-End project.
The main store is called "todos" and contains only a list of todos.
These todos are very simple and the full list is always display inside the tabs so the store works alone without an additional UI store.
We could consider it as a flat store since there is no deep level of data like object or array inside it.
All the data which is linked to a specific todos like the tasks are store inside others stores and use the id to create a permanent link between the data.


Vince McMahon sends a heartfelt tweet to The Bella Twins on their birthday
by Abhilash MendheFormer WWE Divas, The Bella Twins turned 36 yesterday, November 21. WWE Chairman Vince McMahon posted a tweet wishing the former Divas well, heaping praise on the duo.
The Bella Twins were once an integral part of the WWE's Women's division. The twins made their debut way back in 2008 and were WWE mainstays for the next several years, minus a brief split in 2012-13. Both made several WrestleMania appearances, with the most notable one being their outing against AJ Lee & Paige in a tag team match at WrestleMania 31 in a losing effort.
Also read: Stone Cold Steve Austin reacts to CM Punk's return
The Bella Twins also garnered fame with their appearances on Total Divas, and later got their own show named Total Bellas. Brie Bella is married to former World Champion Daniel Bryan. Nikki Bella was involved with WWE veteran John Cena and the 16-time World Champion proposed to her in the middle of the ring at WrestleMania 33, but the couple split soon after. The twins also recently started their own podcast.
On their 36th birthday, The Bella Twins received a heartfelt message from WWE Chairman Vince McMahon, who referred the duo as reality television sensations and innovative entrepreneurs.
We want to know what you think of the matches that you see on TV! Go to our WWE page here and rate and comment what you thought of them!


This program autodetects barcode or email columns in a spreadsheet, and extracts the column for matching against borrower information in our ILS.
If the autodetection isn't working (maybe it's not picking the column you want), just save a file with one column containing the data you want to match, and upload that. sean


#
#
#
#
#
Hi ! I am Narendra Santhosh N
#
Tech Enthusiast | Loves to Network | Full Stack Developer
#
App Developer | Hungry to Learn a lot | Managing and Organizing events
#
Innovating | Managing Stuffs | Pitching Ideas | Networking | Developer at
Smazee VRSavvy
TEDxSriSairamIT
#
+91 80561 60364 | nsn@narendra.co


Training Deep Models with Stochastic Backpropagation
Recently I've had to train a few deep generative models with stochastic backpropagation. I've been working with variational autoencoders and Bayesian neural networks. If you've read the literature on these training procedures and models, you probably found the descriptions quite complete. When I implemented these models however, I found that quite a lot of elbow grease is required to get them to work well.
From talking to some other researchers here, it seems like people dealing with these models are thirsty for practical advice. In this post, I will provide some background on the subject, and highlight some tips and hacks that really helped me with successful implementation.
Deep Generative Models
We are considering the case where we have some complex latent variable model (later we will see how we can consider the weights as our latent variables and extend these ideas to BNNs) as shown below.
Here, \(x\) are our inputs, \(z\) are the latent variables, and \(\theta\) parameterizes the conditional distribution. Usually, we use deep neural networks to map from \(z\) to \(x\), so \(\theta\) will be the parameters of the network. This is a very powerful family of models known as deep generative models (DGMs), even for very simple distributions of \(z\). What we would like to do is perform learning (i.e., maximum likelihood or a-posteriori estimation) for \(\theta\), and inference for \(z\). Unfortunately, the posterior distribution for \(z\) is intractable, so something like EM would not work for us here.
Variational Inference for DGMs
The best approach seems to be variational inference (VI). The basic idea with VI is to introduce an approximation to the true posterior, which we`ll call \(q\), and parameterize it with the variational parameters - \(\phi\). To do this, we need to first choose some parameteric family for \(q\), such as a Gaussian. Having chosen \(q\), the idea is to minimize the distance between the true posterior and our approximation. The minimization is over \(\phi\) and with respect to some divergence between distributions, such as the KL-divergence. Once we've optimized \(q\), we can use it instead of \(p\) whenever we need the posterior distribution. The variational objective can be expressed as:
\begin{equation} \mathcal{L}(\theta, \phi; x) = \mathbb{E}[\log p(x|z)] - KL(q(z|x)||p(z)) \end{equation}
which has a nice interpretation: the first term can be seen as reconstruction error - we are trying to maximize the likelihood of the data under the latent variable. The second term can be interpreted as a regularizer - it encourages the approximation to be as simple as possible by penalizing it for being different from the prior on \(z\), which is typically chosen to be something simple like a standard normal distribution.
What's fantastic about VI is that it allows us to convert inference from an integration problem (which we pretty much suck at) to an optimization one (which we are awesome at). On the flip-side, there are a few drawbacks: one problem is that we are usually limited to very simple posterior approximations, and the quality of our trained model is directly related to the quality of \(q\). Another problem is that posterior inference includes a separate set of variational parameters \(\phi\) for every data-point, and therefore needs to be recomputed for every new example we receive.
Inference Networks and Reparameterization
To get around these problems, some guys had the brilliant idea of introducing an inference network. The idea is to use a neural network to learn \(q\). Ideally, we would train both networks \(\theta, \phi\) jointly. The main advantage of this is that it ammortizes posterior inference, so that while the number of latent variables grows linearly with the number of data points, posterior inference now has fixed computational and statistical complexity. This seems great, but of course, there are still some problems.
To train the things, we would like to use our regular stochastic gradient optimizers. The KL term in \(\mathcal{L}\) can often be evaluated analytically, especially for the standard choices of distributions. The difficult term is the reconstruction error, which is pesky because it is under expectation of the approximate posterior, which is intractable. However, we can use Monte-Carlo to approximate it:
\begin{equation} \mathbb{E}[\log p(x|z)] = \int q(z|x) \log p(x|z)dz \approx \frac{1}{L}\sum\limits_{l=1}^L \log p(x|z^l) \end{equation}
where we are sampling \(z^l \sim q\). Alas, the problem is that sampling for \(z\) means that \(\hat{\mathcal{L}}\) is not differentiable w.r.t. \(\phi\), so we cannot train the inference network. Another idea might be to directly sample the gradient \(\nabla_{\theta, \phi}\mathcal{L}\). Unfortunately, Paisley et al.1 show that \(\hat{\nabla}_{\phi} \mathcal{L}\), while unbiased, has very high variance, and training as such tends to diverge more often than not.
Luckily, some papers from a few years ago (2, 3) fleshed out how we could get around this using an almost embarrasingly simple trick - reparameterization. The idea here is to introduce a random variable \(\epsilon\) that will contain all of the randomness in \(z\) for us. We now set up a new variable \(\tilde{z}\) such that:
\begin{equation} \tilde{z} = g_{\phi}(\epsilon, x);\ \ \tilde{z} \sim q(z|x);\ \ \epsilon \sim p(\epsilon) \end{equation}
so all we need is that \(g_{\phi}\) be differentiable and be able to sample from \(p_{\epsilon}\). This is almost always possible, and in many cases it is even super-easy. For example, if:
\begin{equation} q(z|x) = \mathcal{N}(z; \mu(x), \sigma^2(x)) \end{equation}
with \(\mu\) and \(\sigma\) being parameterized by neural networks, then:
\begin{equation} p(\epsilon) = \mathcal{N}(\epsilon; 0,1);\ \ g(\epsilon, x) = \mu(x) + \epsilon \otimes \sigma(x) \end{equation}
where I am using \(\otimes\) to denote an element-wise multiplication. Reparameterization, simple though it may appear, does two amazing things. (1) It manipulates \(\hat{\mathcal{L}}\) such that it is differentiable w.r.t. \(\phi\) - we can now jointly train the inference network and the model! (2) It allows us to reduce the variance of the estimator by sharing random numbers across terms and iterations. This may not be the only reason, but regardless, \(\nabla_{\theta,\phi}\hat{\mathcal{L}}\) exhibits low variance, and in practice converges very nicely. For a more detailed explanation of how and why reparameterization works, I strongly recommend Carl Doersch's excellent tutorial (4).
Stochastic Backpropagation
So that's it. We're ready to put it all together in an algorithm called Auto-encoding Variational Bayes (2), or Stochastic Backpropagation (3) (the thing was concurrently discovered and published by two separate groups). Conveniently, we can run this optimization in mini-batch form, so basically its just stochastic gradient descent with your favorite optimizer on the estimator described above. Just for closure, here is the complete algorithm (in rough pseudo-code):
function stochastic_backprop(data, L):
theta, phi <- initialize_variables()
repeat:
x_batch <- data.next_batch()
eps_l <- peps.sample() for l in range(L)
gradient <- L(x_batch, eps_l).eval_gradient(theta, phi)
theta, phi <- optimizer.update(gradient)
until convergence (theta, phi)
return theta, phi
Of course, this is very rough psuedo code that is not meant to run. Perhaps in a future post I will go into detail with one model (VAE), and will run through a TensorFlow implementation (including code) with toy data. There I can also discuss how the exact same algorithm can be used to train a BNN, and run through a TF implementation of that with the same data.
References
-
Paisley, John, Blei, David M, and Jordan, Michael I. Variational Bayesian Inference with Stochastic Search. 2012 ↩
-
Kingma, Diederik P and Welling, Max. Auto-encoding variational Bayes. 2013 ↩
-
Rezende, Danilo Jimenez, Mohamed, Shakir, and Wierstra, Daan. Stochastic backpropagation and approximate inference in deep generative models. 2014 ↩


| ↑ Up |
| Meta | Meaning |
|---|---|
.
| Matches any character. |
pq
| Matches the concatenation of
the patterns p and q .
This is an invisible infix operator, there is no meta character.
|
p*
| Matches the preceding pattern p zero or more times.
(Kleene star)
|
p+
| Matches the preceding pattern p one or more times.
(Kleene plus)
|
p?
| Matches the preceding pattern p
zero times or one time.
|
p|q
| An infix operator. Matches if at least one operand
pattern p or q matches.
This is called alternation.
|
p{m}
| Matches the preceding pattern
exactly m times.
|
p{m,}
| Matches the preceding pattern m or more times.
|
p{m,n}
| Matches the preceding pattern from m
upto n times.
|
()
| Grouping (undermine operator precedence). |
{}
| Escape sequences. |
[]
| Character classes. |
(*...)
| A marked group, the match will be added to the list of groups. |
| Escape sequence | Meaning |
|---|---|
{s}
| "\s" (space)
|
{t}
| "\t" (tabulator)
|
{n}
| "\n" (newline)
|
{r}
| "\r" (carriage return)
|
{.}
| "." (dot)
|
{*}
| "*" (asterisk)
|
{+}
| "+" (plus)
|
{(}
| "(" (left parenthesis)
|
{L}
| "{" (left curly bracket)
|
{R}
| "}" (right curly bracket)
|
{a}
| [A-Za-z] (alphabetic ASCII characters)
|
{d}
| [0-9] (ASCII digits)
|
{x}
| [0-9A-Fa-f] (hexadecimal ASCII digits)
|
{l}
| Lowercase ASCII letters |
{u}
| Uppercase ASCII letters |
{ua}
| Alphabetic Unicode characters |
{ul}
| Lowercase Unicode letters |
{uu}
| Uppercase Unicode letters |
{g}
| [\u{21}-\u{7e}] (graphical: visible ASCII)
|
{_}
| Whitespace |
{B}
| Beginning of the string |
{E}
| End of the string |
{LB}
| Beginning of a line |
{LE}
| End of a line |
use regex: re # Some string matches itself > re("café").match("café") true # Matches if any of two alternatives occur: > r = re("moon|soon") > [r.match("moon"), r.match("soon")] [true, true] # Character concatenation has a higher binding than '|', # but we can undermine this by grouping. > r = re("(m|s)oon") > [r.match("moon"), r.match("soon")] [true, true] # A digit re("0|1|2|3|4|5|6|8|9") # A digit, expressed as a character class re("[0-9]") # A digit, shortest notation re("{d}") # A binary literal re("(0|1)+") # A binary literal, digits expressed as a character class re("[01]+") # A date (year-month-day) re("{d}{d}{d}{d}-{d}{d}-{d}{d}") # A date, leading zeros not needed re("{d}{d}?{d}?{d}?-{d}{d}?-{d}{d}?") # A date, using advanced quantifiers re("{d}{4}-{d}{2}-{d}{2}") re("{d}{1,4}-{d}{1,2}-{d}{1,2}") # Muhkuh (moo(ing)? cow) > re("Mu+h+").match("Muuuuuhhh") true # Kleene star > r = re("(x|y)*") > ["", "x", "y", "xx", "xy", "yx", "yy", "xxx", "xxy", "xxyxxxyyx"].all(|s| r.match(s)) true # Integer literals > r = re("[+-]?{d}+") > r.match("-12") true # Simple floating point literals re("[+-]?{d}+{.}{d}+") # Full floating point literals re("[+-]?({d}+({.}{d}*)?|{.}{d}+)([Ee][+-]?{d}+)?") # Whitespace has no meaning inside of a regular expression re(""" [+-]? ( {d}+ ({.} {d}*)? | {.} {d}+ ) ([Ee] [+-]? {d}+)? """) # Whitespace has to be stated explicitly > r = re("a{s}*b") > r.match("a\s\s\s\s\sb") true > r.match("a\s\tb") false
Task to the reader: How to state a pattern for full floating point literals that excludes integer literals?
# Maches a single characters from a list. re("(a|b|c|d|1|2)") # Such a list may be written briefer as a character class. re("[abcd12]") # And ranges of characters can be stated, # using range notation. re("[a-d12]") # Any range from Unicode code point upto another # Unicode code point can be such an range. # For example, the greek alphabet is: re("[\u{0391}-\u{03a9}\u{03b1}-\u{03c9}]") # That is: re("[Α-Ωα-ω]") # Escape sequences can occour inside of character classes. re("[{d}{a}]") # This is the same as: re("[0-9A-Za-z]")
Often one wants to find all non-overlapping patterns
in a string. If r
is some regex,
then r.list(s)
returns the list of
all non-overlapping occurences of r
in s
.
use regex: re word = re("{a}+") text = "The quick brown fox jumps over the lazy dog." print(word.list(text)) # Output: # ["The", "quick", "brown", "fox", "jumps", # "over", "the", "lazy", "dog"]
Groups can be extracted from a string, according to a
regular expression. A group is formed by a pair of parentheses that
has an asterisk after the opening parenthesis.
There is a method groups
that returns null
if the regex does not match, otherwise the list of groups.
use regex: re r = re("(*{d}{d}{d}{d})-(*{d}{d})-(*{d}{d})") while true s = input("Date: ") t = r.groups(s) if t is null print("A well formed date please!") else print(t) end end # Date: 2016-10-14 # ["2016", "10", "14"]
Rather than returning the list of non-overlapping matches,
these matches x
may be replaced by f(x)
.
To achieve this, there is the method r.replace(s,f)
.
use regex: re text = "The quick brown fox jumps over the lazy dog." print(re("{a}+").replace(text,|x| "["+x+"]")) # [The] [quick] [brown] [fox] [jumps] [over] [the] [lazy] [dog].
use regex: re function tokenizer(d) r = re(d["r"]) f = d["f"] if "f" in d else null return fn|s| a = r.list(s) return a if f is null else a.map(f) end end words = tokenizer({ r = "{a}+" }) integers = tokenizer({ r = "{d}+", f = int }) numbers = tokenizer({ r = "({d}|{.})+", f = |x| float(x) if '.' in x else int(x) }) for line in input a = numbers(line) print(a) end
use regex: re function bind_regex(rs) r = re(rs) return |s| r.match(s) end isalpha_german = bind_regex("[A-Za-zÄÖÜäöüß]*") isalpha_latin = bind_regex("""[ A-Z a-z \u{00c0}-\u{00d6} \u{00d8}-\u{00f6} \u{00f8}-\u{024f} ]*""")
As one can see, the Unicode letter range was fragmented by
throwing in two mathematical operators (\u{d7}
,
\u{f7}
). Matching upper and lower case is
even more complicated. Furthermore, in general a letter may
be followed by combining characters.


This tutorial shows you how to create a Kafka-consumer and -producer using kafka-clients java library.
What you'll learn
As an alternative, use git to clone the project:
git clone https://github.com/navikt/codelab-kafka-clients.git
(On NAV developer image you will need add proxy by running git config --global http.proxy http://webproxy-utvikler.nav.no:8088
first)
In project root, run gradle:
$ cd codelab-kafka-clients
$ ./gradlew --offline build
or in Windows:
$ cd codelab-kafka-clients
$ gradlew.bat --offline build
If everything is set up you should see
BUILD SUCCESSFUL in Xs
On NAV developer image: If you get an Connection refused
error when executing gradle, add a file named gradle.properties
in an folder named .gradle
in your home directory with the following content:
systemProp.proxySet=true
systemProp.http.proxyHost=webproxy-utvikler.nav.no
systemProp.http.proxyPort=8088
systemProp.https.proxyHost=webproxy-utvikler.nav.no
systemProp.https.proxyPort=8088
Windows: C:\Users\<username>\.gradle\gradle.properties
Linux and Mac: ~/.gradle/gradle.properties
In the project directory, there is a docker-compose.yml
file, navigate to the file and run docker-compose:
$ docker-compose up
This should start Zookeeper and a Kafka instance locally.
On NAV developer image you will need to configure proxy for docker. Open Docker and Settings:
http://webproxy-utvikler.nav.no:8088
on both HTTP and HTTPS fieldFile -> New -> Project from Existing sources...
navigate to project folder and press OKGradle
in next window - NextGlobal Gradle settings
- choose Offline work
and hit Finish
FizzBuzzNumberEntered
topic (See FizzBuzzCandidateProducer.java in the project).FizzBuzzNumberEntered
, calculate whether or not that number is a "Fizz-Buzz" number candidate andFizzBuzzAnswered
with the answer.The answer must be compliant to JSON file:
{
"answer": "FizzBuzz", // - "FizzBuzz", "Fizz" or "Buzz"
"candidate" : 15, // Number entered
"groupId" : "A-team" // Identicator of the team
}
• Fizz-Buzz test - Write a program that prints the numbers from 1 to 100. But for multiples of three print "Fizz" instead of the number and for the multiples of five print "Buzz". For numbers which are multiples of both three and five print "FizzBuzz"
Ref https://en.wikipedia.org/wiki/Fizz_buzz
Provided in the project there is a Java class named FizzBuzzCandidateProducer
. This class produce random numbers on a topic named FizzBuzzNumberEntered
.
FizzBuzzNumberEnteredConsumer.java
)KafkaConsumer
and instantiate it;public class FizzBuzzNumberEnteredConsumer {
private final static String TOPIC = "FizzBuzzNumberEntered";
private final static String BOOTSTRAP_SERVERS = "localhost:9092";
public static void main(String[] args) {
Properties consumerProperties = new Properties();
consumerProperties.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, BOOTSTRAP_SERVERS);
consumerProperties.put(ConsumerConfig.GROUP_ID_CONFIG, "fizzbuzz-consumer");
consumerProperties.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
consumerProperties.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, IntegerDeserializer.class);
KafkaConsumer<String, Integer> consumer = new KafkaConsumer<>(consumerProperties);
consumer.subscribe(Collections.singleton(TOPIC));
}
}
while (true) {
ConsumerRecords<String, Integer> records = consumer.poll(Duration.ofMillis(100)); // Fetch records, give up after timeout
for (ConsumerRecord<String, Integer> record : records) {
System.out.println("Consumed " + record);
}
}
FizzBuzzCandidateProducer
(Run the main method in IntelliJ). If all looks good, go ahead to the next section.Provided in the project there is an FizzBuzz "calculator" we can use to calculate the answer.
while (true) {
ConsumerRecords<String, Integer> records = consumer.poll(Duration.ofMillis(100)); // Fetch records, give up after timeout
for (ConsumerRecord<String, Integer> record : records) {
System.out.println("Consumed " + record);
// first extract the number from the record
Integer number = record.value();
// Calculate FizzBuzz
String fizzBuzzCandidate = FizzBuzz.calculate(number);
FizzBuzzAnswerMessage answer = new FizzBuzzAnswerMessage(fizzBuzzCandidate, number, "A-Team");
// create json
final String answerAsJson = new Gson().newBuilder().create().toJson(answer);
// @todo: Produce answer to `FizzBuzzAnswered` topic
// tip: See FizzBuzzCandidateProducer.java
}
}
Tip, Kafka also has a command line consumer that will dump out messages to standard output, by running:
docker run --net host confluentinc/cp-kafka kafka-console-consumer --bootstrap-server localhost:9092 -topic FizzBuzzAnswered


The convention is that you include parentheses if the method has side effects.
In accordance with Liskov substitution principle, as overriden method is empty-paren,
the overriding method must also be declared as a method with side effects.
* Refer to Programming in Scala, 5.3 Operators are methods


We offer fulfillment services like specific packaging, kitting, insertion of customer products like House, tools,Land, etc, as per our customer requirement. We have tie ups with leading courier and freight forwarding companies,all over the world.
Easy to customize have changed the dynamics of traditional publishing industry worldwide. It has completely transformed the way publishing is done and changed the perception about printing among the consumers.
Digital assets like original files, databases,money transfer etc. Each one will be properly tagged, indexed and can be archived for quick and accurate retrieval. Every time our client gets an order, the quantity of land can be conveyed to us and we can print the same and ship it to the end customers directly.
Our company give lifetime support to customer for better service.Lorem ipsum dolor sit amet, et sectetu adipiscing elit, sed do lilae eiusmod at tempor.
Our Community have include many people and many organization.Lorem ipsum dolor sit amet, et sectetu adipiscing elit, sed do lilae eiusmod at tempor.
we try to give 24 hours customer service.Lorem ipsum dolor sit amet, et sectetu adipiscing elit, sed do lilae eiusmod at tempor.


Suddenly changing the playing track while the player is going on, simply makes it pause, and load the new track(s) at once.
audioPlaylist = {{ audioPlaylist | json }}


breeze centigrade clearing-late cloudy1 cloudy2 cloudy3 cloudy4 cloudy5 cloudy-early crescentmoon eclipse fog light-rain light-snow meteor moderaterain moon moon-half moon-more moon-star partly-cloudy1 partly-cloudy2 partly-cloudy3 partly-rain1 partly-rain2 partly-rain3 partly-rain4 partly-snow1 partly-snow2 partly-thunder1 partly-thunder2 partly-windy1 partly-windy2 partly-windy3 partly-windy4 rainbow rainstorm shower1 shower2 shower3 shower4 shower5 shower6 shower7 shower8 shower9 shower-few1 shower-few2 shower-thunder snowflakes1 snowflakes2 soundwave star sunny sunstar thermometer tornado wind-direction wind-force wind-scale windy


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Lombard on verge of history: It's been a long time coming
by Lynn Butler - Sport24Sun City - Zander Lombard admitted that his success at Sun City had been a long time coming after taking a lead into the final round of the Nedbank Golf Challenge.
Lombard led the field on Saturday evening as he carded a even par 72 to remain on 11-under par after the third round of "Africa's Major".
The world No 234 confessed that he is delighted that his hard work has been finally paying off.
"I don't want to sound cocky but it's been a long time coming. I've made big strides in how I do things on and off the golf course. It's nice to get some results from all the hard work," said Lombard.
Lombard, who is making his debut this week, says that playing before at the Gary Player Country Club has certainly helped him this week.
"I'm so comfortable on the course, I know where to and where not to hit it," he said.
The South African has only one professional win as he won on the Sunshine Tour last year at the Vodacom Origins of Golf at Zebula.
However, Lombard has been consistent, with his best finishes coming in at the Irish Open and Spanish Open earlier this year.
He believes that it's those big moments that have contributed to him keeping his cool this week.
"I feel like I've matured enough to handle it and hopefully going forward do one better tomorrow," said Lombard.


---
layout: documentation
title: ReactiveX - Interval operator
id: interval
---
{% lang_operator RxClojure %}
TBD
{% endlang_operator %}
{% lang_operator RxCpp interval %}
TBD
{% endlang_operator %}
{% lang_operator RxGroovy interval %}
RxGroovy implements this operator as interval
. It accepts as its parameters a
span of time to wait between emissions and the TimeUnit
in which this
span is measured.
There is also a version of interval
that returns an Observable that emits a single
zero after a specified delay, and then emits incrementally increasing numbers periodically
thereafter on a specified periodicity. This version of interval
was called
timer
in RxGroovy 1.0.0, but that method has since been
deprecated in favor of the one named interval
with the same behavior.
interval
operates by default on the computation
Scheduler . There are also variants that allow you to set the Scheduler by
passing one in as a parameter.
{% endlang_operator %}
{% lang_operator RxJava interval %}
RxJava implements this operator as interval
. It accepts as its parameters a
span of time to wait between emissions and the TimeUnit
in which this
span is measured.
There is also a version of interval
that returns an Observable that emits a single
zero after a specified delay, and then emits incrementally increasing numbers periodically
thereafter on a specified periodicity. This version of interval
was called
timer
in RxJava 1.0.0, but that method has since been
deprecated in favor of the one named interval
with the same behavior.
interval
operates by default on the computation
Scheduler . There are also variants that allow you to set the Scheduler by
passing one in as a parameter.
{% endlang_operator %}
{% lang_operator RxJS interval %}
RxJS implements this operator as interval
. It accepts as its parameter the number
of milliseconds to wait between emissions.
interval
operates by default on the timeout
Scheduler , or you can optionally pass in a different Scheduler as a second
parameter, and interval
will operate on that Scheduler instead.
Sample Code
var source = Rx.Observable
.interval(500 /* ms */)
.timeInterval()
.take(3);
var subscription = source.subscribe(
function (x) {
console.log('Next: ' + x);
},
function (err) {
console.log('Error: ' + err);
},
function () {
console.log('Completed');
});
Next: {value: 0, interval: 500}
Next: {value: 1, interval: 500}
Next: {value: 2, interval: 500}
Completed
interval
is found in the following distributions:
rx.lite.js
rx.lite.compat.js
rx.timejs
(requires rx.js
or rx.compat.js
)
{% endlang_operator %}
{% lang_operator RxKotlin interval %}
TBD
{% endlang_operator %}
{% lang_operator Rx.NET Interval %}
TBD
{% endlang_operator %}
{% lang_operator RxPHP interval %}
RxPHP implements this operator as interval
.
Returns an Observable that emits an infinite sequence of ascending integers starting at 0, with a constant interval of time of your choosing between emissions.
Sample Code
//from https://github.com/ReactiveX/RxPHP/blob/master/demo/interval/interval.php
$loop = new \React\EventLoop\StreamSelectLoop();
$scheduler = new \Rx\Scheduler\EventLoopScheduler($loop);
$disposable = \Rx\Observable::interval(1000, $scheduler)
->take(5)
->subscribe($createStdoutObserver());
$loop->run();
Next value: 0
Next value: 1
Next value: 2
Next value: 3
Next value: 4
Complete!
{% endlang_operator %}
{% lang_operator RxPY interval %}
TBD
{% endlang_operator %}
{% lang_operator Rx.rb %}
TBD
{% endlang_operator %}
{% lang_operator RxScala interval %}
TBD
{% endlang_operator %}
{% lang_operator RxSwift interval %}
TBD
{% endlang_operator %}


Create a Collection > Prework
Prework
Welcome to the Introducing Yourself Online workshop! We look forward to meeting you. Before attending the workshop, please complete the following prework.
Set up RStudio Cloud
Sign up for a free RStudio Cloud account at https://rstudio.cloud/ before the workshop. I recommend logging in with an existing Google or GitHub account, if you have one (rather than creating a new account with another password you have to remember). I want you to be able to work from your own laptop in this workshop, but Cloud is an important back-up plan should you run into troubles.
Set up GitHub
We will be using GitHub in this workshop for version control and publishing. Sign up for a free GitHub.com account at https://github.com/join if you don’t already have one. Also:
-
Complete these installation instructions.
-
Test your connection between GitHub and RStudio following these steps.
-
NOTE: We strongly recommend that if you are not already a fluent GitHub user you choose HTTPS over SSH.
Brush up on markdown
Please complete this 10-minute interactive tutorial on Markdown.
Installations
Please bring a laptop that has the following installed:
-
A recent version of R (>=3.6.0), which is available for free at https://cloud.r-project.org/
-
A recent version of RStudio Desktop (>=1.4), available for free ( RStudio Desktop Open Source License). Read up on the latest version here.
-
The R packages we will use, which you can install by connecting to the internet, opening RStudio, and running at the command line:
> install.packages(c("usethis", "remotes", "distill", "postcards", "blogdown"))
You’ll also need to install the development version of the
rmarkdown
package:> remotes::install_github("rmarkdown")
Install Hugo
To use blogdown, please install Hugo:
> blogdown::install_hugo()
And ensure your current version is at least as high as:
> hugo_version()
[1] ‘0.79.0’
Check pandoc
The RStudio IDE bundles an updated version of pandoc- if you did install v1.4 of the IDE, you should be all set!
> rmarkdown::pandoc_version()
[1] ‘2.11.3’


2014
- January: Maconomy REST API v1
- Rune publishes first rough prototype
- March: Project Ace initiated (Peter and Anders)
- Commit first line of JavaScript
2015
- March: Piotr joins the team
- May: iAccess 1.0.0 release
- almost zero extensibility
- June: iAccess for Poyry release
2017
- March: iAccess 2.0.0 release
2018
- January: Maconomy 2.4.0 release
- Consolidated release, Maconomy 2.4.0/iAccess 2.1.0
- March: Steve joins the team
2019
- March: Marcus joins the team
- May: Maconomy 2.4.4 release
- Introduces REST V2 which is 12 times faster and payloads are 1000 times smaller.
- Jobs workspace
- Sorting and filtering in tables
- Document viewer
- October: Christa joins the team
- November: Maconomy 2.5.0 released
- Smooth patch upgrades
- Basic charts (HighCharts)
- Conversations
- Embedded BPM reports
2020
- July: Maconomy 2.5.1 release
- Analyzer-driven dashboard
- Search layouts
- Resize columns
- Columns chooser
- Reference workspaces
- December: Maconomy 2.5.2 release
- MyPlan
- People Planner Web Components
2021
- May: Maconomy 2.5.3 release target
- December: Maconomy 2.6.0 release target


Seastar is the first framework to bring together a set of extreme architectural innovations, including:
- Shared-nothing design: Seastar uses a shared-nothing model that shards all requests onto individual cores.
- High-performance networking: Seastar offers a choice of network stack, including conventional Linux networking for ease of development, DPDK for fast user-space networking on Linux, and native networking on OSv.
- Futures and promises: An advanced new model for concurrent applications that offers C++ programmers both high performance and the ability to create comprehensible, testable high-quality code.
- Message passing: A design for sharing information between CPU cores without time-consuming locking


Gesture definition
We define a gesture as:
- a mechanically ineffective physical movement of the limbs or head: the signaler must reach its goal, i.e., modify the recipient’s behavior in a desired way, only by signaling to the recipient and not by forcing the recipient to behave in a certain way (e.g., request the recipient to move away by signaling, instead of pushing the recipient away by using physical force),
- used flexibly (i.e., a gesture is not restricted to one context of production and can serve several functions),
- socially directed at a specific recipient: the signaler orients itself towards and look at a specific recipient
-
used in a ‘goal-directed’ way to influence the recipient’s behavior in a desired way. To qualify as ‘goal-directed’, a gesture has to be accompanied by:
-
audience checking: the signaller looks at the recipient before or during gesturing, checks its attentional availability before producing a signal, and adjust the modality of the signal to the attentional state of the recipient (i.e., by using tactile or audible signals instead of silent-visual ones, or by moving around to place itself in the visual field of the recipient, if the recipient is not visually attentive), thus demonstrating sensitivity to the recipient attentional state.
- response waiting: the signaller pauses and maintains visual contact with recipient after gesturing, and waits for a response. If the signaler does not respond, then the signaler should show signs of goal persistence by:
- persisting (by repeating the same signal) and/or elaborating (by using a new signal or combination of signals with the same function).
-
Body signals are defined in similar terms for physical movements or postures of the whole body (that can be part of the species typical repertoire such as sexual invitation postures or display behaviours). For each gesture (and body signal), we determined the sensory modality as ‘silent-visible’ (signal is silent and as such only visible if recipient is visually attentive), ‘audible’ (signal is visible and audible, thus can be perceived even if recipient is not visually attentive) or ‘tactile’ (signal is performed while touching the recipient’s body, thus can be perceived even if recipient is not visually attentive). 1 2
-
Genty E. (2019). Vocal–gestural combinations in infant bonobos: new insights into signal functional specificity. (2019). Animal Cognition 22, 505–518 https://doi.org/10.1007/s10071-019-01267-0. ↩
-
Byrne R.W., Cartmill E. Genty E., Graham K. E., Hobaiter, C.,Tanner J (2017). Great ape gestures: Intentional communication with a rich set of innate signals. Animal Cognition. 20, 755–769 (2017). ↩


Rotate around X
Rotate around Y
Rotate around Z
Wireframe Mode
Oops ... your browser doesn't support the HTML5 canvas element


This is part 2 of a series of articles about deploying your site to Amazon Web Services (AWS), Amazon's counterpart to Windows Azure.
In part 1, we looked at the architecture of a web site with load balanced web servers and a SQL Server database with automatic fail over. We then implemented a simple site without a database. In this part, we'll add the database. That is, we'll do the green bit below. The red bit (DNS name servers so your site uses your own domain) we'll leave for another part.
This article assumes you have a web site deployed to AWS with Elastic Beanstalk application, as described in part 1. We'll first create the database, and then deploy a new version of the web site that uses that database.
AWS refers to the automatic fail over feature as a Multi-AZ deployment. AZ stands for Availability Zone. An AZ is essentially a data centre, with its own power supply, etc.
With a Multi-AZ deployment, AWS creates a backup database server in another availability zone within the same region. Modifications to your main database server are continuously mirrored to the other server. If your main database server goes down, the other server is automatically made the main server (fail over). Because it has the same DNS name as the main database, your application doesn't need a new connection string.
The fail over process may take a few minutes. During that time, your application will see a broken database connection. AWS will automatically spin up a new backup database server.
Because the backup server is in another data centre, it is highly unlikely that both your main and backup servers go down at the same time. Because they are in the same region, moving data from main to backup is still fast.
Note that automatic failover for SQL Server databases is currently only available in the US East (N. Virginia), US West (Oregon), and EU (Ireland) AWS regions.
If you are using the AWS Free Tier, you can use a database server running SQL Server Express for free (as of March 2015).
The problem is that Amazon have implemented fail over for SQL Server servers using the SQL Server Mirroring feature. This feature is not available on SQL Server Express.
Your cheapest option that supports mirroring would be a SQL Server Standard Edition database on a db.m1.small instance (pricing).
Because of this, I've discussed installation of both SQL Server Express (no fail over) and SQL Server Standard Edition (with fail over, costs money) below.
| Field | Value |
|---|---|
| DB Instance Class | db.t1.micro |
| Allocated Storage | The free tier gives you 20GB max, so keep it at that. Note that SQL Server Express needs 20GB or more, so 20GB is exactly the sweet spot. |
| Db Instance Identifier | Must be unique amongst your databases in this region. Maybe something boring like "dbinstance1". |
| Username, Password | SQL Server databases hosted on RDS can only use SQL Server Authentication, not Windows Authentication. The username and password you enter here will also have to be used in the connection strings used by your application on AWS. |
Click Next Step (bottom right).
| Field | Value |
|---|---|
| License Model | Unless you bring your own SQL Server license, you'll want AWS to take care of the license: license-included. |
| DB Instance Class | db.m1.micro would be the cheapest option, but it may not be powerful enough for you (compare instances). |
| Allocated Storage | You'll need 200GB or more for Standard Edition. |
| Db Instance Identifier | Must be unique amongst your databases in this region. Maybe something boring like "dbinstance1". |
| Username, Password | SQL Server databases hosted on RDS can only use SQL Server Authentication, not Windows Authentication. The username and password you enter here will also have to be used in the connection strings used by your application on AWS. |
Click Next Step (bottom right).
In part 1, while going through the wizard to create the web servers and load balancer, there was a step Additional Resources where the wizard offered to create a database.
It would certainly have been possible to create a database at that point in time. The wizard will ask you your username, password, database instance, etc., and even whether you want a Multi-AZ Deployment.
However, if you say yes to that, Elastic Beanstalk throws an error when it actually tries to create the application. This is because a Multi-AZ Deployment for SQL Server requires that an option group is created and attached to the SQL Server database server that switches on mirroring. Elastic Beanstalk fails to do this though. As a result of this bug, it is easier to create the database directly from the RDS dashboard.
Note that if you created a SQL Server Standard Edition database server with Multi-AZ Deployment, you can see its option group here: Services | RDS | Instances | click your database (database details appear) | click option group in the details section.
When you create a connection string for your new database server, and also when you try to connect to it with SSMS, you need to know the server name.
That name is listed on the RDS dashboard as the "Endpoint":
As an aside, there is nothing stopping you from accessing your new database on AWS from SQL Server Management Studio (SSMS). Simply create a new connection with the database name you found earlier and the username and password you specified whilst creating the new database.
If your site uses Entity Framework Code First and you don't have any data yet, things are easy. This is because EF Code First will create the database schema when it first runs against an empty server.
My trial site SimpleSiteWithDb (on Github) uses EF Code First. So if you're using this, you're done already!
If your application doesn't use Entity Framework Code First, or if you need to preload data before starting your site, you will want to copy the schema of your existing database to your new AWS database, and then the data.
An issue here is that AWS doesn't allow you to log into an RDS database server. That means that you can't simply take a backup of your existing database and restore it on your new database server in AWS.
However, you can easily copy the schema with SQL Database Migration Wizard, a tool that ironically was created inside Microsoft to transfer databases to Microsoft Azure.
Once that's done, you can use the SQL Server Import and Export Wizard to copy your data from your current database to your new AWS database:
If you have a web site project lying around that uses a SQL Server database, you can use that. MVC and WebForms are both fine.
Otherwise feel free to get my trial site SimpleSiteWithDb from Github.
I'm assuming that you'll want to run this site locally on your computer first, with a local database, before attempting to deploy it to AWS. In that case, do the following steps before running it on your computer:
If you use your own site, make sure that all references pointing to outside your web application have Copy Local set to True (I've already done this for my trial site). This goes in particular for NuGet packages, because these normally sit in a packages directory that sits outside your project directory. Framework dlls should be fine, because the AWS EC2 web server will have the .Net framework installed.
Lastly, make sure that the Release version of your site has a connection string pointing at the AWS database server, not your local database server.
You can make this happen through Web.config transformations, by adding a Web.Release.config file in the same directory as your Web.config file. The Web.Release.config file contains XSLT to transform the Web.config file to the Release version.
My trial site already has such a file. Be sure to modify it, to give it your own database name, username and password.
Otherwise, this Web.Release.config file would do the trick:
<?xml version="1.0"?> <configuration xmlns:xdt="http://schemas.microsoft.com/XML-Document-Transform"> <connectionStrings> <add name="<connection string name used in web.config>" connectionString="Data Source=........rds.amazonaws.com;Initial Catalog=....;User Id=.....; Password=.......;" xdt:Transform="SetAttributes" xdt:Locator="Match(name)"/> </connectionStrings> </configuration>
Don't forget to fill in your server name, username and password.
Some connection strings use Integrated Security=SSPI;. Do not use this with an AWS hosted site. It will cause AWS to try to log into your database with the NT AUTHORITY\ANONYMOUS LOGON account rather than your own account - which will fail.
In subsequent parts, you'll see how to point your own domain to your AWS hosted web site, and how to use a certificate to give your site a secure connection (https instead of http).


--- title: Our team description: >- We've built an amazing, fantastic team of hard-working engineers. ---
✎ Manage Staff members


“The value of an idea lies in the using of it.” - Thomas Edison
I intended to start writing over a year ago, taking inspiration from blogs like Daring Fireball and Kottke.org. I invested in a domain name and hosting service and proceeded to plan out the best blog the internet had ever seen. The site would be built on the best blogging platform and have the most aesthetically pleasing theme. The sidebar would contain a summary of my recent twitter activity and contain links to my favorite blogs. I would have a wildly popular blog on my hands within months. My plan was foolproof.
I launched and relaunched, installing and uninstalling blogging platforms and content management systems. This process took me several weeks, and at the end of my experimentation I had written a cumulative total of 0 words. A blog without content is as exciting as watching paint dry on a wall, no matter how great the backend of the site is or how appealing the theme looks. I set out to write but I quickly lost sight of my original goal.
It’s a truly beautiful thing when function and form are in perfect balance. But without function, form is meaningless. The functional elements of a project are its foundation. Foundations do not need to be gorgeous, but they do need to be solidly built. Focus on building the best possible foundation, then proceed to improve upon form.1
I had focused entirely on the form of my website without giving proper attention to content, the most important aspect of a blog. How could I have missed this obvious fact? I was too hung up on launching the perfect website and in the end I fell as far short of the goal as humanly possible. Instead of tweaking the form of the website for weeks, I should have been writing content. A website’s design is never final as it can be tweaked and adjusted on the fly. But I lost sight of what was important (writing!) and got caught up in the details (design) which inhibited me from starting the blog at all.
The first iteration doesn’t have to be perfect. In fact, it won’t be perfect. But without a first iteration, you will never have a tangible product. And without a tangible product, you’ll never realize your ideas.
I’d like to illustrate my point with a brief retelling of the Instagram story.
In 2010 Kevin Systrom and Mike Krieger launched Burbn, a Foursquare competitor that combined location and photo sharing. The service never attracted more than a few hundred users, but the few individuals that used it raved about the photo sharing feature. Systrom and Krieger took notice and relaunched the application as Instagram, building upon the photo sharing elements of Burbn. Two years later Facebook swooped in and purchased Instagram for a cool $1 billion.2
Burbn wasn’t a perfect product when it initially launched. Foursquare had many more features, users and funding but Systrom and Krieger executed on their idea despite those factors. If Systrom and Krieger waited to develop more features for Burbn so it could compete more evenly with Foursquare, Instagram would likely not exist.
It’s okay to pivot. It’s okay to fail. You don’t need every feature ready to go from Day 1. Success can only be achieved when ideas are acted upon.
David Kelley, the founder of IDEO, believes in “failing faster” and I plan on employing that strategy with this blog. I’ll be experimenting with different post formats, lengths and layouts so don’t expect any semblance of consistency in the near future. I’m going to be writing primarily about the intersection of technology and business, although other topics that pique my interest will find their way into the blog too.
The site’s look and feel is subject to change, but I won’t be doing much along those lines for a few weeks while I focus on creating content.3
There are times when function is constrained by form. For example, the iPhone 5 is constrained by its physical size - there are only so many components that can fit inside the device. However, I would argue that the iPhone's functional elements are more important than its form factor. If the iPhone offered no additional functionality over a feature phone, it would not be a wildly successful product despite it's form factor. ↩
I'm not comparing my blog to Instagram. However, if anyone wants to purchase the chipkoziara.com blog network for $1 billion I'm all ears. ↩
I've learned my lesson. ↩


Introduction¶
What is climlab?¶
climlab is a flexible engine for process-oriented climate modeling. It is based on a very general concept of a model as a collection of individual, interacting processes. climlab defines a base class called Process, which can contain an arbitrarily complex tree of sub-processes (each also some sub-class of Process). Every climate process (radiative, dynamical, physical, turbulent, convective, chemical, etc.) can be simulated as a stand-alone process model given appropriate input, or as a sub-process of a more complex model. New classes of model can easily be defined and run interactively by putting together an appropriate collection of sub-processes.
Most of the actual computation for simpler model components use vectorized
numpy
array functions. It should run out-of-the-box on a standard scientific
Python distribution, such as Anaconda
or Enthought Canopy
.
What’s new in version 0.3?¶
New in version 0.3, climlab now includes Python wrappers for more numerically intensive processes implemented in Fortran code (specifically the CAM3 radiation module).  The compiler is invoked automatically as necessary when a new process is created by the user.
Implementation of models¶
Currently, climlab has out-of-the-box support and documented examples for:
1D radiative and radiative-convective single column models, with various radiation schemes:
- Grey Gas
- Simplified band-averaged models (4 bands each in longwave and shortwave)
- One GCM-level radiation module (CAM3)
1D diffusive energy balance models
Seasonal and steady-state models
Arbitrary combinations of the above, for example:
- 2D latitude-pressure models with radiation, horizontal diffusion, and fixed relative humidity
orbital / insolation calculations
boundary layer sensible and latent heat fluxes
Note
For more details about the implemented Energy Balance Models, see the Models chapter.
Documentation¶
This documentation currently only covers all Energy Balance Model relevant parts of the code, which is just a part of the package. The whole package may be covered in a later release of the documentation.


ANYIKO SECONDARY SCHOOL
LOOSE MINUTES / MEMORANDUM/ MEMO/INTERNAL MEMO
From
To Date:
Subject
--------------------------------------------------------
--------------------------
Sign:
Koome J.
1.
Imagine that an aunt of yours wishes to come to your school on the visiting day.
- Give precise directions to enable her get to your school. (12marks)
- Write a reminder of important information you want her to keep in mind as she prepares to come. (8marks)
2.
Imagine you live in Mumias, an average town in Western Kenya. The National Music Festivals are set to be held in this town for five days. Your friend who lives in Webuye town intends to come over.
a) Give them clear directions to Nabongo cultural centre in Mumias town. Make your instruction as precise (one page) and clear as possible – you could use land marks, well known means of transport, show distance in kilometers e.t.c.
Prepare a packing list for your friend in example 1 above to facilitate their stay in Mumias town for the duration of the festivals
Marking Scheme| S/NO | Item | Specification | Details | Mk |
| 1 | clothes | 5 shirts/ blouses e.t.c. | White, black, cotton e.t.c. | 1 |
| 2 | 1 | |||
| 3 | 1 | |||
| 4 | 1 | |||
| 5 | 1 | |||
| 6 | 1 | |||
| Total: | 6 |
JOB VACANCIES! JOB VACANCIES! JOB VACANCIES
Applications are invited from interested and competent candidates to join the Dhamira Group, a youth awareness organization, to fill the positions interested candidate must be:
• Kenyan citizens
• Creative
• Able to work within tight deadlines
• Aged between 18-22 years
• Self-driven and motivated
• A course in journalism will be an added advantage.
Applications are to be addressed to:
The Human Resource Manager
Dhamira Group
P.O. BOX 38258—00100
Mji mkuu
Marking Scheme
• Must be an official letter. If not deduct –(2mks)
• Format (4mks)
- 2 addresses sender and receiver (1 mark)
- Receivers address specified in question
• Date ( ½ marks)
• Ref 1 mark (must be relevant)
• Signing off Signature (½ mark) must appear in this order. If not deny mark
- Signature
- Name
Content
• Must mention the following:
- Form four leaver- 1 mark
- Mean grade B+ and above- 1 mark
- English /Kiswahili A 1 mark
- Kenyan citizen 1 mark
- Creative 1 mark
- Meets deadlines l mark
- Age.18—22 l mark
- Self-driven & motivation l mark
- Journalism course l mark
• Tone formal 2 marks
• Language ability 4 marks
1. Imagine you are the managing directors of Alroki industries Eldoret. You manufacture padlocks and of late, there has been a lot of bad press concerning your products. Write an internal memorandum to your operations manager and sales and marketing manager. Advise them on what should be done to counter the bad press and also re-capture and retain your market share.
Format
Must be an internal memo (2mks)
• Must have:
- Address (logo) (½ )
- recipient-operations manager (½) sales and marketing manager (½)
- Sender-the managing director (½ )
- Date – (½mk )
- ref- (1mk)
- subject- (½mk)
- Complementary close-yours faithfully-(1mk)
- signature-
- name-
- Designation.
Body
2.  Write a memo to the class prefects asking them to ensure that students observe the library rules, especially regarding silence, prompt return of books, appropriate dressing and observing opening and closing time.
Marking Scheme ANYIKO SECONDARY SCHOOL
i. Functional writing
ii. Expect a memo
iii. Layout
• Name of the school ½
• Date ½
• Ref. No. ½
• To ½
• From ½
• Subject ½
• Signature ½
• Name: Internal memo ½
(Expect 8 areas (½ a mark each)
iv. Body
- Silence
- Prompt return of books
- Opening and closing time
- Appropriate dressing in the library
LOOSE MINUTES / MEMORANDUM/ MEMO/INTERNAL MEMO
From
To Date:
Subject
--------------------------------------------------------
--------------------------
Sign:
Koome J.
3. Imagine you are the school captain, and the CDF committee wishes to set up a project in your school. The principal has asked you to organize with the prefects to collect students’ views on the most appropriate project. Write an internal memo to the concerned prefects. (20mks)
Marking schemeSIKUNJEMAHIGH SCHOOL
INTERNAL MEMO
Ref No. 001/05/010 F
4.The lion’s football team has won the just completed world cup competition. You are the coach. Write a memo congratulating them and informing them on when/how to collect their tokens.
Remember to have copies to the minister of sports. (20mks)
Marking Scheme
• Must be a memo
• Formal tone must be felt – if not deduct 1mk
• Award marks as follows:
i) Format – (8mks)
ii) Body – (6mks)
iii) Tone – (1mk)
iv) Language – (5mks)
SAMPLE
Format:
1. Letter head √1
2. internal memo √1 (underlined)
3. TO: √1
4. FROM: √1
5. Date: √1
6. Subject: √1
7. CC: √1
Body
- State why the team is being congratulated.
- Must congratulate the team
- Mention something about the token
- Closing tag
- Valediction √1 (part of the format)
TONE: Formal tone must be felt √1
Language
5 marks – Good use of language with no grammatical errors
4 marks – No errors, the language naturally flow but simplistic
3 marks – Communicates but not clearly due to a few grammatical errors
2 marks – Communicates with a lot of errors
1 mark - Hardly communicates
Your school has gone for National drama Festivals in Nairobi County. You attended the festivals for 5 days, in which you undertook the following activities presenting a dance, visiting the animal orphanage, Touring the airport and shopping in one of the shopping malls in Nairobi. Write a personal Journal that you kept for the five days.
Marking Scheme
Day and date for each respective day = days five paragraphs = 5 marks
A name of a school (1mk)
- A dance presented (2mks)
-Animal orphanage visited (2mks)
-Airport toured (2mks)
-Shopping (2mks
-Personal involvement (1mk)
-Past tense /tone (2mks)
Imagine that you are the head boy of Akili Mingi secondary school in Nakuru. Your fellow students attend a History symposium at Butere high School where some misbehaved and fought their colleagues from the host school. Write to your fellow head boy apologizing for the unfortunate incident promising to liaise with your principal to ensure that the injured students are given proper treatment and the students who misbehaved and fought their fellows are punished.
Marking Scheme
The Head Boy √ ½
Akili Mingi Secondary school,
PO BOX 6789, Nakuru.
23/3/2015√ ½
The Head boy, √ ½
Butere High Schools,
Through the Principal, √ ½
Butere High School,
PO BOX 1234,
Butere.
Dear Sir, √ ½
RE: APOLOGY FOR MY COLLEAGUE’S MISBEHAVIOUR DURING THE HISTORY SYMPOSIUM. √ ½
I take this great opportunity to apologise for my fellow students’ misbehaviour during the history symposium at your school on Saturday 21/3/2015.+


GrepPe uses the GNU regex-0.12 library for regular-expression search. Source code for this library is included, so you can replace or alter this library if you need to. (If you wish to replace this lib, alter the source code and compile it into a shared library with the name librx.so and place it in ~/config/lib.) The syntax used for regular expression is the so-called POSIX extended syntax. You can find extensive explanation of this syntax in several sources; O'Reilly has a book dedicated to this subject. A specification of the extended POSIX regular expression syntax can be found on the website of The Open Group. Another source of info might be the documentation supplied with the regex-0.12 package. Look in the directory containing this package for the docs directory. Pe has some minor differences, however. Before passing an expression to the regex compiler, it scans the search string for these four sequences:
|
||||||||||||
|
Last updated: 05/17/98 |


You are now logged into a Spring Security (Acegi) protected page. To logout click here.
Spring Security is provided by a DelegatingFilterProxy filter configured in web.xml, which is itself configured using Spring beans in the spring-bean.xml file.


The powerball is a lottery where you choose 6 numbers. The chances of winning anything at all are about 1 in 25. The chances of winning the jackpot are about 1 in 292,200,000.
It is a website with a set of tools to help you understand the powerball, analyze its past data, and help you choose your numbers.

At the bottom of this page, you have two options. You can play the numbers generated by our algorithm, or you can generate random numbers. If you don’t want to trust us, you can also use our tools to make your own decision.
We have our own formula to choose what we believe are the most likely numbers to be drawn. We use the past drawings in the current system and give preference to numbers that appeared the most.
Over the history of the powerball, the possible numbers of the white balls, and the powerball changed. Here is a chart of the possible numbers for each system.
| System Number | Start Date | End Date | Range of White Balls | Range of Powerball |
|---|---|---|---|---|
| 1 | April 22, 1992 | November 1, 1997 | 1 - 45 | 1 - 45 |
| 2 | November 5, 1997 | October 5, 2002 | 1 - 49 | 1 - 42 |
| 3 | October 9, 2002 | August 27, 2005 | 1 - 53 | 1 - 42 |
| 4 | August 31, 2005 | January 3, 2009 | 1 - 55 | 1 - 42 |
| 5 | January 7, 2009 | January 14, 2012 | 1 - 59 | 1 - 39 |
| 6 | January 18, 2012 | October 3, 2015 | 1 - 59 | 1 - 35 |
| 7 | October 7, 2015 | Present | 1 - 69 | 1 - 26 |
Because each time you play, you ask yourself the same question. What are the best numbers I can choose? This is our best attempt to answer that question with the click of a button.
| Numbers | Frequency |
|---|
| Date | Numbers |
|---|
This tool will give you the ability to do a comparison of our algorithm versus random numbers. You can select a date to be used as the trial date. For each one of these dates we have 2000 tickets generated with our algorithm and 2000 tickets generated using random numbers. We sum the total amount of money each of these sets have made on the selected date and report the difference.
Ours
Our Algorithm Made:
?
Random
Using Random Numbers Made:
?
Fill out your lottery numbers below and see what the most money you would've made was.
Number 1
Number 2
Number 3
Number 4
Number 5
Powerball
Yes
Use our algorithm:
No
Use random numbers:
| Table Name | Number Of Tuples |
|---|


{% extends "main.html" %} {% block content %}
{% if config.theme.logo.icon %} {{ config.theme.logo.icon }} {% else %} {% endif %}
Sorry but we can't find the page you asked for.
Try the homepage, or use the search field on the top of this page.
If you think we made a mistake and deleted a page that should be here, then please tell us on {{config.site_name}} chat channel or create an issue in {{config.site_name}} Jira.
{% endblock %}


Azure Documentation Updates
app-service
2018-04-26:
Managed Service Identity in App Service and Azure Functions
2018-04-26:
Build a .NET Core and SQL Database web app in Azure App Service
2018-04-26:
Troubleshoot domain and SSL certificate problems in Azure web apps
cosmos-db
2018-04-26:
Develop locally with the Azure Cosmos DB Emulator
2018-04-26:
Azure Cosmos DB: .NET Change Feed Processor API, SDK & resources
2018-04-26:
Azure Cosmos DB frequently asked questions


- addFrame(Pixmap) - Method in class com.github.tommyettinger.anim8.AnimatedGif
-
Adds next GIF frame.
- alterColorsIPT(Interpolation, Interpolation, Interpolation) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
Edits this PaletteReducer by changing each used color in the IPT color space with an Interpolation
.
- alterColorsLightness(Interpolation) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
Edits this PaletteReducer by changing each used color in the IPT color space with an Interpolation
.
- analyze(Pixmap) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
Analyzes pixmap
for color count and frequency, building a palette with at most 256 colors if there are
too many colors to store in a PNG-8 palette.
- analyze(Pixmap, int) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
Analyzes pixmap
for color count and frequency, building a palette with at most 256 colors if there are
too many colors to store in a PNG-8 palette.
- analyze(Pixmap, int, int) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
Analyzes pixmap
for color count and frequency, building a palette with at most limit
colors.
- analyze(Array<Pixmap>) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
Analyzes all of the Pixmap items in pixmaps
for color count and frequency (as if they are one image),
building a palette with at most 256 colors.
- analyze(Array<Pixmap>, int) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
Analyzes all of the Pixmap items in pixmaps
for color count and frequency (as if they are one image),
building a palette with at most 256 colors.
- analyze(Array<Pixmap>, int, int) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
Analyzes all of the Pixmap items in pixmaps
for color count and frequency (as if they are one image),
building a palette with at most limit
colors.
- analyze(Pixmap[], int, int, int) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
Analyzes all of the Pixmap items in pixmaps
for color count and frequency (as if they are one image),
building a palette with at most limit
colors.
- analyzeMC(Pixmap, int) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
- analyzePixels() - Method in class com.github.tommyettinger.anim8.AnimatedGif
-
Analyzes image colors and creates color map.
- AnimatedGif - Class in com.github.tommyettinger.anim8
-
GIF encoder using standard LZW compression; can write animated and non-animated GIF images.
- AnimatedGif() - Constructor for class com.github.tommyettinger.anim8.AnimatedGif
-
- AnimatedPNG - Class in com.github.tommyettinger.anim8
-
Full-color animated PNG encoder with compression.
- AnimatedPNG() - Constructor for class com.github.tommyettinger.anim8.AnimatedPNG
-
Creates an AnimatedPNG writer with an initial buffer size of 16384.
- AnimatedPNG(int) - Constructor for class com.github.tommyettinger.anim8.AnimatedPNG
-
Creates an AnimatedPNG writer with the given initial buffer size.
- AnimationWriter - Interface in com.github.tommyettinger.anim8
-
A common interface for various formats that can write an animated image to a FileHandle or OutputStream.
- apply(float) - Method in class com.github.tommyettinger.anim8.OtherMath.BiasGain
-
- randomColor(Random) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
Retrieves a random non-transparent color from the palette this would reduce to, with a higher likelihood for
colors that are used more often in reductions (those with few similar colors).
- randomColorIndex(Random) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
Retrieves a random non-0 color index for the palette this would reduce to, with a higher likelihood for colors
that are used more often in reductions (those with few similar colors).
- RAW_BLUE_NOISE - Static variable in class com.github.tommyettinger.anim8.PaletteReducer
-
This should always be a 4096-element byte array filled with 64 sections of 64 bytes each.
- readChunks(InputStream) - Static method in class com.github.tommyettinger.anim8.PNG8
-
Simple PNG IO from https://www.java-tips.org/java-se-tips-100019/23-java-awt-image/2283-png-file-format-decoder-in-java.html .
- reduce(Pixmap) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
Modifies the given Pixmap so it only uses colors present in this PaletteReducer, dithering when it can
using Scatter dithering (this merely delegates to
PaletteReducer.reduceScatter(Pixmap)
).
- reduce(Pixmap, Dithered.DitherAlgorithm) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
- reduceBlueNoise(Pixmap) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
A blue-noise-based dither; does not diffuse error, and uses a tiling blue noise pattern (which can be accessed
with
PaletteReducer.RAW_BLUE_NOISE
, but shouldn't usually be modified) as well as a fine-grained checkerboard pattern
and a roughly-white-noise pattern obtained by distorting th blue noise, but only applies these noisy pattern
when there's error matching a color from the image to a color in the palette.
- reduceChaoticNoise(Pixmap) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
A white-noise-based dither; uses the colors encountered so far during dithering as a sort of state for basic
pseudo-random number generation, while also using some blue noise from a tiling texture to offset clumping.
- reduceFloat(float) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
Looks up color
as if it was part of an image being color-reduced and finds the closest color to it in the
palette this holds.
- reduceFloydSteinberg(Pixmap) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
Modifies the given Pixmap so it only uses colors present in this PaletteReducer, dithering when it can using the
commonly-used Floyd-Steinberg dithering.
- reduceIndex(int) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
Looks up color
as if it was part of an image being color-reduced and finds the closest color to it in the
palette this holds.
- reduceInPlace(Color) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
Modifies color
so its RGB values will match the closest color in this PaletteReducer's palette.
- reduceJimenez(Pixmap) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
- reduceKnoll(Pixmap) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
Reduces a Pixmap to the palette this knows by using Thomas Knoll's pattern dither, which is out-of-patent since
late 2019.
- reduceKnollRoberts(Pixmap) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
Reduces a Pixmap to the palette this knows by using a skewed version of Thomas Knoll's pattern dither, which is
out-of-patent since late 2019, using the harmonious numbers rediscovered by Martin Roberts to handle the skew.
- reduceScatter(Pixmap) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
Modifies the given Pixmap so it only uses colors present in this PaletteReducer, using Floyd-Steinberg to dither
but modifying patterns slightly by introducing triangular-distributed blue noise.
- reduceSierraLite(Pixmap) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
Modifies the given Pixmap so it only uses colors present in this PaletteReducer, dithering when it can using
Sierra Lite dithering instead of the Floyd-Steinberg dithering that
PaletteReducer.reduce(Pixmap)
uses.
- reduceSingle(int) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
Looks up color
as if it was part of an image being color-reduced and finds the closest color to it in the
palette this holds.
- reduceSolid(Pixmap) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
Modifies the given Pixmap so it only uses colors present in this PaletteReducer, without dithering.
- repeat - Variable in class com.github.tommyettinger.anim8.AnimatedGif
-
- seq - Variable in class com.github.tommyettinger.anim8.AnimatedGif
-
- setCompression(int) - Method in class com.github.tommyettinger.anim8.AnimatedPNG
-
Sets the deflate compression level.
- setCompression(int) - Method in class com.github.tommyettinger.anim8.PNG8
-
Sets the deflate compression level.
- setDefaultPalette() - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
Resets the palette to the 256-color (including transparent) "Haltonic" palette.
- setDelay(int) - Method in class com.github.tommyettinger.anim8.AnimatedGif
-
Sets the delay time between each frame, or changes it for subsequent frames
(applies to last frame added).
- setDispose(int) - Method in class com.github.tommyettinger.anim8.AnimatedGif
-
Sets the GIF frame disposal code for the last added frame and any
subsequent frames.
- setDitherAlgorithm(Dithered.DitherAlgorithm) - Method in class com.github.tommyettinger.anim8.AnimatedGif
-
Sets the dither algorithm (or disables it) using an enum constant from DitherAlgorithm
.
- setDitherAlgorithm(Dithered.DitherAlgorithm) - Method in interface com.github.tommyettinger.anim8.Dithered
-
- setDitherAlgorithm(Dithered.DitherAlgorithm) - Method in class com.github.tommyettinger.anim8.PNG8
-
Sets the dither algorithm (or disables it) using an enum constant from DitherAlgorithm
.
- setDitherStrength(float) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
- setFlipY(boolean) - Method in class com.github.tommyettinger.anim8.AnimatedGif
-
Sets whether this should flip inputs top-to-bottom (true, the default setting), or leave as-is (false).
- setFlipY(boolean) - Method in class com.github.tommyettinger.anim8.AnimatedPNG
-
If true, the resulting AnimatedPNG is flipped vertically.
- setFlipY(boolean) - Method in class com.github.tommyettinger.anim8.PNG8
-
If true, the resulting PNG is flipped vertically.
- setFrameRate(float) - Method in class com.github.tommyettinger.anim8.AnimatedGif
-
Sets frame rate in frames per second.
- setPalette(PaletteReducer) - Method in class com.github.tommyettinger.anim8.AnimatedGif
-
Sets the PaletteReducer this uses to bring a high-color or different-palette image down to a smaller palette
size.
- setPalette(PaletteReducer) - Method in interface com.github.tommyettinger.anim8.Dithered
-
Sets the PaletteReducer this uses to bring a high-color or different-palette image down to a smaller palette
size.
- setPalette(PaletteReducer) - Method in class com.github.tommyettinger.anim8.PNG8
-
- setPosition(int, int) - Method in class com.github.tommyettinger.anim8.AnimatedGif
-
Sets the GIF frame position.
- setRepeat(int) - Method in class com.github.tommyettinger.anim8.AnimatedGif
-
Sets the number of times the set of GIF frames should be played.
- setSize(int, int) - Method in class com.github.tommyettinger.anim8.AnimatedGif
-
Sets the GIF frame size.
- shrink(int) - Static method in class com.github.tommyettinger.anim8.PaletteReducer
-
Converts an RGBA8888 int color to the RGB555 format used by
PaletteReducer.IPT
to look up colors.
- sizeSet - Variable in class com.github.tommyettinger.anim8.AnimatedGif
-
- start(OutputStream) - Method in class com.github.tommyettinger.anim8.AnimatedGif
-
Initiates GIF file creation on the given stream.
- started - Variable in class com.github.tommyettinger.anim8.AnimatedGif
-
- stretch(int) - Static method in class com.github.tommyettinger.anim8.PaletteReducer
-
Converts an RGB555 int color to an approximation of the closest RGBA8888 color.
- swapPalette(FileHandle, FileHandle, int[]) - Static method in class com.github.tommyettinger.anim8.PNG8
-
Given a FileHandle to read from and a FileHandle to write to, duplicates the input FileHandle and changes its
palette (in full and in order) to exactly match palette
.
- width - Variable in class com.github.tommyettinger.anim8.AnimatedGif
-
- write(FileHandle, Array<Pixmap>) - Method in class com.github.tommyettinger.anim8.AnimatedGif
-
Writes the given Pixmap values in frames
, in order, to an animated GIF at file
.
- write(FileHandle, Array<Pixmap>, int) - Method in class com.github.tommyettinger.anim8.AnimatedGif
-
Writes the given Pixmap values in frames
, in order, to an animated GIF at file
.
- write(OutputStream, Array<Pixmap>, int) - Method in class com.github.tommyettinger.anim8.AnimatedGif
-
Writes the given Pixmap values in frames
, in order, to an animated GIF in the OutputStream
output
.
- write(FileHandle, Array<Pixmap>) - Method in class com.github.tommyettinger.anim8.AnimatedPNG
-
Writes an animated PNG file consisting of the given frames
to the given file
, at 60 frames per
second.
- write(FileHandle, Array<Pixmap>, int) - Method in class com.github.tommyettinger.anim8.AnimatedPNG
-
Writes an animated PNG file consisting of the given frames
to the given file
,
at fps
frames per second.
- write(OutputStream, Array<Pixmap>, int) - Method in class com.github.tommyettinger.anim8.AnimatedPNG
-
Writes animated PNG data consisting of the given frames
to the given output
stream without
closing the stream, at fps
frames per second.
- write(FileHandle, Array<Pixmap>) - Method in interface com.github.tommyettinger.anim8.AnimationWriter
-
- write(FileHandle, Array<Pixmap>, int) - Method in interface com.github.tommyettinger.anim8.AnimationWriter
-
- write(OutputStream, Array<Pixmap>, int) - Method in interface com.github.tommyettinger.anim8.AnimationWriter
-
- write(FileHandle, Pixmap) - Method in class com.github.tommyettinger.anim8.PNG8
-
Writes the given Pixmap to the requested FileHandle, computing an 8-bit palette from the most common colors in
pixmap.
- write(FileHandle, Pixmap, boolean) - Method in class com.github.tommyettinger.anim8.PNG8
-
Writes the given Pixmap to the requested FileHandle, optionally computing an 8-bit palette from the most common
colors in pixmap.
- write(FileHandle, Pixmap, boolean, boolean) - Method in class com.github.tommyettinger.anim8.PNG8
-
Writes the pixmap to the stream without closing the stream, optionally computing an 8-bit palette from the given
Pixmap.
- write(FileHandle, Pixmap, boolean, boolean, int) - Method in class com.github.tommyettinger.anim8.PNG8
-
Writes the pixmap to the stream without closing the stream, optionally computing an 8-bit palette from the given
Pixmap.
- write(OutputStream, Pixmap) - Method in class com.github.tommyettinger.anim8.PNG8
-
Writes the pixmap to the stream without closing the stream and computes an 8-bit palette from the Pixmap.
- write(OutputStream, Pixmap, boolean) - Method in class com.github.tommyettinger.anim8.PNG8
-
Writes the pixmap to the stream without closing the stream, optionally computing an 8-bit palette from the given
Pixmap.
- write(OutputStream, Pixmap, boolean, boolean) - Method in class com.github.tommyettinger.anim8.PNG8
-
Writes the pixmap to the stream without closing the stream, optionally computing an 8-bit palette from the given
Pixmap.
- write(OutputStream, Pixmap, boolean, boolean, int) - Method in class com.github.tommyettinger.anim8.PNG8
-
Writes the pixmap to the stream without closing the stream, optionally computing an 8-bit palette from the given
Pixmap.
- write(FileHandle, Array<Pixmap>) - Method in class com.github.tommyettinger.anim8.PNG8
-
Writes the given Pixmaps to the requested FileHandle at 30 frames per second.
- write(FileHandle, Array<Pixmap>, int) - Method in class com.github.tommyettinger.anim8.PNG8
-
Writes the given Pixmaps to the requested FileHandle at the requested frames per second.
- write(FileHandle, Array<Pixmap>, int, boolean) - Method in class com.github.tommyettinger.anim8.PNG8
-
Writes the Pixmaps to the stream without closing the stream, optionally computing an 8-bit palette from the given
Pixmap.
- write(OutputStream, Array<Pixmap>, int, boolean) - Method in class com.github.tommyettinger.anim8.PNG8
-
Writes the Pixmaps to the stream without closing the stream, optionally computing an 8-bit palette from the given
Pixmaps.
- write(OutputStream, Array<Pixmap>, int) - Method in class com.github.tommyettinger.anim8.PNG8
-
- writeChunks(OutputStream, OrderedMap<String, byte[]>) - Static method in class com.github.tommyettinger.anim8.PNG8
-
Simple PNG IO from https://www.java-tips.org/java-se-tips-100019/23-java-awt-image/2283-png-file-format-decoder-in-java.html .
- writeGraphicCtrlExt() - Method in class com.github.tommyettinger.anim8.AnimatedGif
-
Writes Graphic Control Extension
- writeImageDesc() - Method in class com.github.tommyettinger.anim8.AnimatedGif
-
Writes Image Descriptor
- writeLSD() - Method in class com.github.tommyettinger.anim8.AnimatedGif
-
Writes Logical Screen Descriptor
- writeNetscapeExt() - Method in class com.github.tommyettinger.anim8.AnimatedGif
-
Writes Netscape application extension to define repeat count.
- writePalette() - Method in class com.github.tommyettinger.anim8.AnimatedGif
-
Writes color table
- writePixels() - Method in class com.github.tommyettinger.anim8.AnimatedGif
-
Encodes and writes pixel data
- writePrecisely(FileHandle, Pixmap, boolean) - Method in class com.github.tommyettinger.anim8.PNG8
-
Attempts to write the given Pixmap exactly as a PNG-8 image to file; this attempt will only succeed if there
are no more than 256 colors in the Pixmap (treating all partially transparent colors as fully transparent).
- writePrecisely(FileHandle, Pixmap, boolean, int) - Method in class com.github.tommyettinger.anim8.PNG8
-
Attempts to write the given Pixmap exactly as a PNG-8 image to file; this attempt will only succeed if there
are no more than 256 colors in the Pixmap (treating all partially transparent colors as fully transparent).
- writePrecisely(FileHandle, Pixmap, int[], boolean, int) - Method in class com.github.tommyettinger.anim8.PNG8
-
Attempts to write the given Pixmap exactly as a PNG-8 image to output; this attempt will only succeed if there
are no more than 256 colors in the Pixmap (treating all partially transparent colors as fully transparent).
- writePrecisely(OutputStream, Pixmap, boolean) - Method in class com.github.tommyettinger.anim8.PNG8
-
Attempts to write the given Pixmap exactly as a PNG-8 image to output; this attempt will only succeed if there
are no more than 256 colors in the Pixmap (treating all partially transparent colors as fully transparent).
- writePrecisely(OutputStream, Pixmap, boolean, int) - Method in class com.github.tommyettinger.anim8.PNG8
-
Attempts to write the given Pixmap exactly as a PNG-8 image to output; this attempt will only succeed if there
are no more than 256 colors in the Pixmap (treating all partially transparent colors as fully transparent).
- writePrecisely(OutputStream, Pixmap, int[], boolean, int) - Method in class com.github.tommyettinger.anim8.PNG8
-
Attempts to write the given Pixmap exactly as a PNG-8 image to output; this attempt will only succeed if there
are no more than 256 colors in the Pixmap (treating all partially transparent colors as fully transparent).
- writePreciseSection(FileHandle, Pixmap, int[], int, int, int, int) - Method in class com.github.tommyettinger.anim8.PNG8
-
Attempts to write a rectangular section of the given Pixmap exactly as a PNG-8 image to file; this attempt will
only succeed if there are no more than 256 colors in the Pixmap (treating all partially transparent colors as
fully transparent).
- writePreciseSection(OutputStream, Pixmap, int[], int, int, int, int) - Method in class com.github.tommyettinger.anim8.PNG8
-
Attempts to write a rectangular section of the given Pixmap exactly as a PNG-8 image to output; this attempt will
only succeed if there are no more than 256 colors in the Pixmap (treating all partially transparent colors as
fully transparent).
- writePreloadFile(FileHandle) - Method in class com.github.tommyettinger.anim8.PaletteReducer
-
If this PaletteReducer has already calculated a palette, you can use this to save the slightly-slow-to-compute
palette mapping in a preload file for later runs.
- writeShort(int) - Method in class com.github.tommyettinger.anim8.AnimatedGif
-
Write 16-bit value to output stream, LSB first
- writeString(String) - Method in class com.github.tommyettinger.anim8.AnimatedGif
-
Writes string to output stream


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Found {{drugs.length}} unique drugs: {{drug.id}} ... {{show.ellipsis}}
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| Disease | Drug | Phase | Phase (Numeric) | Status | Type | Activity | Target class |


Version1 of the interface that represents map where each entry consists of prefix string as the key and corresponding nameSpace string as its value. More...
#include <INameSpacePrefixMap.h>
Public Member Functions | |
| virtual bool APICALL | Insert (const char *prefix, sizet prefixLength, const char *nameSpace, sizet nameSpaceLength)=0 |
| Adds a new pair of prefix string and its corresponding nameSpace string or replace an existing entry. More... | |
| virtual bool APICALL | RemovePrefix (const char *prefix, sizet prefixLength)=0 |
| Finds the prefix string in the map and removes an entry corresponding to it in the map. More... | |
| virtual bool APICALL | RemoveNameSpace (const char *nameSpace, sizet nameSpaceLength)=0 |
| Finds the nameSpace string in the map and removes an entry corresponding to it in the map. More... | |
| virtual bool APICALL | IsPrefixPresent (const char *prefix, sizet prefixLength) const =0 |
| Checks for the existence of a particular prefix in the map. More... | |
| virtual bool APICALL | IsNameSpacePresent (const char *nameSpace, sizet nameSpaceLength) const =0 |
| Checks for the existence of a particular nameSpace in the map. More... | |
| virtual spcIUTF8String APICALL | GetNameSpace (const char *prefix, sizet prefixLength) const =0 |
| Gets the nameSpace string corresponding to the prefix string. More... | |
| virtual spcIUTF8String APICALL | GetPrefix (const char *nameSpace, sizet nameSpaceLength) const =0 |
| Get the prefix string corresponding to the nameSpace string. More... | |
| virtual sizet APICALL | Size () const __NOTHROW__=0 |
| To get the total number of entries in the map. More... | |
| bool | IsEmpty () const __NOTHROW__ |
| To check whether the map is empty or not. More... | |
| virtual void APICALL | Clear () __NOTHROW__=0 |
| Clear all the entries in the map. More... | |
| virtual spINameSpacePrefixMap APICALL | Clone () const =0 |
| Virtual Copy Constructor. More... | |
| Public Member Functions inherited from AdobeXMPCommon::ISharedObject | |
| virtual void APICALL | Acquire () const __NOTHROW__=0 |
| Called by the clients of the object to indicate that he has acquired the shared ownership of the object. More... | |
| virtual void APICALL | Release () const __NOTHROW__=0 |
| Called by the clients of the object to indicate he has released his shared ownership of the object. If this being the last client than this function should call Destroy to delete and release the memory. More... | |
| Public Member Functions inherited from AdobeXMPCommon::IVersionable | |
| template<typename requestedInterface > | |
| XMP_PRIVATE requestedInterface * | GetInterfacePointer () |
| Get the raw pointer to an interface object implementing the requested version. More... | |
| template<typename requestedInterface > | |
| XMP_PRIVATE const requestedInterface * | GetInterfacePointer () const |
| Get the raw pointer to a const interface object implementing the requested version. More... | |
| Public Member Functions inherited from AdobeXMPCommon::IThreadSafe | |
| virtual void APICALL | EnableThreadSafety () const __NOTHROW__=0 |
| Enables the thread safety on an object. More... | |
| virtual void APICALL | DisableThreadSafety () const __NOTHROW__=0 |
| Disables the thread safety on an object. More... | |
| virtual bool APICALL | IsThreadSafe () const =0 |
| Informs whether object can be used across multiple threads or not. More... | |
Static Public Member Functions | |
| static XMP_PRIVATE spcINameSpacePrefixMap | GetDefaultNameSpacePrefixMap () |
| Provides the default mapping of prefix string and nameSpace strings used by XMPCore. More... | |
| static XMP_PRIVATE spINameSpacePrefixMap | CreateNameSpacePrefixMap () |
| Creates an empty namespace - prefix map and returns it to the client as a shared pointer. More... | |
Protected Member Functions | |
| virtual | ~INameSpacePrefixMap_v1 () __NOTHROW__ |
| Protected Member Functions inherited from AdobeXMPCommon::ISharedObject | |
| virtual | ~ISharedObject () __NOTHROW__=0 |
| REQ_FRIEND_CLASS_DECLARATION () | |
| Protected Member Functions inherited from AdobeXMPCommon::IVersionable | |
| virtual | ~IVersionable () |
| REQ_FRIEND_CLASS_DECLARATION () | |
| Protected Member Functions inherited from AdobeXMPCommon::IThreadSafe | |
| REQ_FRIEND_CLASS_DECLARATION () | |
Version1 of the interface that represents map where each entry consists of prefix string as the key and corresponding nameSpace string as its value.
Provides all the functions to get/set the entries inside the map.
Definition at line 26 of file INameSpacePrefixMap.h.
|
inlineprotectedvirtual |
Destructor
Definition at line 215 of file INameSpacePrefixMap.h.
References REQ_FRIEND_CLASS_DECLARATION.
|
pure virtual |
Clear all the entries in the map.
|
pure virtual |
Virtual Copy Constructor.
Makes an another object which is exact replica of the existing object.
|
static |
Creates an empty namespace - prefix map and returns it to the client as a shared pointer.
|
static |
Provides the default mapping of prefix string and nameSpace strings used by XMPCore.
|
pure virtual |
Gets the nameSpace string corresponding to the prefix string.
| [in] | prefix | Pointer to a const char buffer containing prefix string. |
| [in] | prefixLength | Number of characters in prefix. In case prefix is null terminated set it to #AdobeXMPCommon::npos. |
|
pure virtual |
Get the prefix string corresponding to the nameSpace string.
| [in] | nameSpace | Pointer to a constant char buffer containing nameSpace string. |
| [in] | nameSpaceLength | Number of characters in nameSpace. In case nameSpace is null terminated set it to #AdobeXMPCommon::npos. |
|
pure virtual |
Adds a new pair of prefix string and its corresponding nameSpace string or replace an existing entry.
| [in] | prefix | Pointer to a constant char buffer containing prefix string. |
| [in] | prefixLength | Number of characters in prefix. In case prefix is null terminated set it to #AdobeXMPCommon::npos. |
| [in] | nameSpace | Pointer to a constant char buffer containing nameSpace string. |
| [in] | nameSpaceLength | Number of characters in nameSpace. In case nameSpace is null terminated set it to #AdobeXMPCommon::npos. |
| bool AdobeXMPCore::INameSpacePrefixMap_v1::IsEmpty | ( | ) | const |
To check whether the map is empty or not.
|
pure virtual |
Checks for the existence of a particular nameSpace in the map.
| [in] | nameSpace | Pointer to a constant char buffer containing nameSpace string. |
| [in] | nameSpaceLength | Number of characters in nameSpace. In case nameSpace is null terminated set it to #AdobeXMPCommon::npos. |
|
pure virtual |
Checks for the existence of a particular prefix in the map.
| [in] | prefix | Pointer to a const char buffer containing prefix string. |
| [in] | prefixLength | Number of characters in prefix. In case prefix is null terminated set it to #AdobeXMPCommon::npos. |
|
pure virtual |
Finds the nameSpace string in the map and removes an entry corresponding to it in the map.
| [in] | nameSpace | Pointer to a constant char buffer containing nameSpace string. |
| [in] | nameSpaceLength | Number of characters in nameSpace. In case nameSpace is null terminated set it to #AdobeXMPCommon::npos. |
|
pure virtual |
Finds the prefix string in the map and removes an entry corresponding to it in the map.
| [in] | prefix | Pointer to a const char buffer containing prefix string. |
| [in] | prefixLength | Number of characters in prefix. In case prefix is null terminated set it to #AdobeXMPCommon::npos. |
|
pure virtual |
To get the total number of entries in the map.


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