In the near future binding actions to Discord accounts will become cumbersome and difficult with the things I want to expand iab to do. To alleviate this, I've created the cII system. cII is actually a connection to the group of programs that form the II Interface.  Suffice it to say that AkaiCuda (AKAIP, AKAIPPI, etc.) is part of the II Interface. Creating an account allows me to handle saving information more intelligently.
People may be (understandably) worried about the safety of their email accounts. Rest assured I don't want the money from selling your email accounts.
Having a cII account (or really using iab in general) allows me to collect information about what you do with it. Go to The cII Privacy Policy if you're interested in what I collect. None of this information is sold or shared (not that it's that interesting in the first place.)
Certain features of iab will eventually be locked behind a cII account. As of current, though, the maximum upload limit for a verified cII user is 2 times as large.
To sign up for the cII module, you need to perform a few commands in direct messages to iab. iab will NOT handle these commands outside of a direct message channel.
1. Perform cii!register -username (your desired username) -password (your desired password) -email (your desired email).
For example, cii!register -username iab -password iab -email<EMAIL_ADDRESS>After a few seconds (provided something doesn't break), you should get an email from<EMAIL_ADDRESS>containing your verification code (which should be in the cII-(number) format)
2. Run cii!verify -email (your email) -code (the code, in its entirety). It should say that your account was verified.
3. Run cii!binddiscord -username (your username) -password (your password). Then you're fully signed up and set for cII.


4. Design
4.10 Cayenne Transactions
Cayenne API allows to control transactional behavior in different deployment environments.
Cayenne can be configured to commit its own transactions or to rely on container-managed transactions, as described in the Modeler Guide.
Note:
While users are allowed to customize transactions, in most cases they shouldn't
worry about this beyond choosing Cayenne vs. container-managed transactions. So this chapter is purely
academic for most applications.
|
4.10.1 Transactional Behavior
Transaction control in Cayenne is done via instances of Transaction
class.
Transactions at the application level - DataContext behavior. Whenever a select or
commit operation is initiated, DataContext obtains a new Transaction object by invoking
DataDomain.createTransaction() on the parent DataDomain. DataDomain returns a
transaction with preconfigured commit behavior. This is defined by the boolean property usingExternalTransactions ,
that can be configured in the Modeler or via API.
Transactions at the database level - DataNode behavior. Transaction is passed to DataNode
as an argument to DataNode.performQueries(List, OperationObserver, Transaction) . DataNode does
not attempt to commit or rollback a connection used in the query, rather it adds currently used JDBC Connection
to the Transaction object by calling Transaction.addConnection(java.sql.Connection) .
4.10.2 User Control over Transactions
As mentioned before, users shouldn't normally deal with Transactions explicitly. However if there is a need to do
so, Cayenne provides completely open API discussed in this section.
Explict Transactions. QueryEngine interface implemented by
DataContext, DataDomain and DataNode, defines "performQueries" method that takes an instance of Transaction
as one of its arguments. Users can invoke this method with their own subclass of Transaction.
Explicit Transactions Note:
When calling "QueryEngine.performQueries(Collection, OperationObserver, Transaction)", it is always a caller's responsibility to
invoke "begin/commit/rollback" methods. Cayenne will only add the JDBC connections involved in the transaction to the Transaction
object, but will not attempt to alter its state.
|
Explict Transactions Made Simple.
As mentioned above, when using a Transaction explicitly, it is caller's responsibility to commit or rollback
the transaction. However Transaction class itself can take care of this. Transaction implements a method
performQueries that uses a provided QueryEngine (e.g. DataContext) to run a set of
queries in its own transactional context. At the end transaction will be comitted or rolled back depending on the
outcome of the operation. This is much less error-prone than manually managing Transaction state.
TransactionDelegate. Another way to customize existing Cayenne transactions behavior and/or
track transactions execution is TransactionDelegate interface.
A delegate can be set per DataDomain. All DataContexts created by this Domain will "inherit" the delegate. E.g.:
// on startup
DataDomain defaultDomain = Configuration.getDomain();
defaultDomain.setTransactionDelegate(new CustomTransactionDelegate());
|
TransactionDelegate implements a set of methods that are called during transaction processing. All methods that have a boolean
return type allow the delegate to suppress default transaction processing by returning false , thus preventing Cayenne
from interfering with container
TransactionManager.
|


In the realm of modern software development, web based applications are often key to the growth and success of a company. In order to meet the demands of rapid feature implementation, a number of frameworks have appeared to allow developers to quickly create whatever is needed and replace or remove other elements with ease.
One unfortunate consequence of this is that quite a lot of these technologies were done under the assumption that CPU speed or efficiency or parallelism would continue for many more decades. In recent times the limits of silicon transistors and photolithography mean that on-going speed improvements are restricted to multi-threading, either on multi-processor CPUs or clusters of GPUs.
With this in mind, several attempts have been made to make code libraries which take advantage of these clusters. Another approach is to horizontially scale via virtualization and containerization.
Containers do have limits, mostly related to performance and occasional memory corruption, yet they can be useful since they have many unique aspects. They can be more-or-less fully separated from the main operating system and are able to be near-perfect clones of whatever instance they are derived from.
A recent application of note is docker, a containerization app that allows developers to spin up quick instances to develop programs with litte to no risk to the OS, or even test multiple Linux distros or versions of a distro, should the developer require this.
Since the inception of docker, Google had been attempting to extend this functionality of the containers to allow web applications to have better scalability and durability. The end result is Kubernetes, often abbreviated as k8s. From Wikipedia:
Kubernetes is an open-source container-orchestration system for automating deployment, scaling and management of containerized applications.
Essentially, k8s is a tool to assist with handling a large cluster of instances, for one or more applications or servers. Specifically, this does differ from docker in a few interesting ways:
So if your web application is written with containerization paradigm in mind then it could plausibly scale well based on workload, have a limited ability to repair or recover from errors or corruption, and have some level of cloud redundancy.
While that does sound complex, it is more than a bit intriguing due to all of the services it can potentially replace. With that in mind, begin by ensuring the machine that will run Kubernetes supports hardware virtualization and that it is enabled in the BIOS and operating system.
Afterwards, install kubectl and minikube via the official documentation. Both are required to actually run the full suite, along with docker as well.
To summarize, kubectl allows management and fine tuning of a kubernetes cluster while minikube allows for easy spin up instances to make it easier during development.
With all of the components installed, start minikube via the following command:
minikube start
If this works, then this will start up a kubernetes server on the current server. In the event none of the typical VM drivers appear to function, set the VM driver to none, as shown below. Later on, consider installing VirtualBox and utilizing that to create instances if KVM is unavailable.
minikube start --vm-driver none
If that worked, then a minikube resource should have started, and now thus it can be managed via kubectl. To ensure it actually started, do a quick check like so:
kubectl get nodes
The output from that command will resemble something like the following:
NAME
STATUS
ROLES
AGE
VERSION
minikube
Ready
master
13h
v1.10.0
The minikube node is now available and can be adjusted and configured, both via web browser and via commandline interface. To enable the web interface, type the following command:
minikube dashboard
Upon doing so, the kubernetes interface will appear in the browser and allow access to the create pods and adjust configuration settings of the given minikube instance.
Feel free to browse through the various options and pages. Of note are the lists of nodes and pods on this k8s server. Since a minikube node is active, it is possible to spawn individualized containers on it, called pods. Typically these are designed to run a single command or microservice or child process.
To test out if the pod creation process is working, there is an image from the Google Cloud Container Registry labelled echoserver which mimics whatever is thrown at it. Useful for making the "Hello, world!" equivalent of a pod. To do so, take advantage of the use feature of kubectl to download the container image:
kubectl run hello-minikube --image=k8s.gcr.io/echoserver:1.4 --port=8080
Assuming this ran as intended, a pod will be created with the name hello-minikube, which can be viewed either via CLI or web browser. To obtain the list of pods via commandline, do the following:
kubectl get pods
Which yields output similar to the following:
NAME
READY
STATUS
RESTARTS
AGE
hello-minikube-6c47c66d8-2bhml
1/1
Running
0
52m
In the web browser, it can be found via the Workloads > Pods > hello-minikube-hex-timestamp. That page shows the node, status and the current quality of service, among other details:
If the status indicates that the pod is running, open the instance in a browser or using wget or curl to obtain a read-out of what values were passed to the pod. In this case the address is <IP_ADDRESS>:8080, so the output should be something akin to this:
CLIENT VALUES:
client_address=<IP_ADDRESS>
command=GET
real path=/
query=nil
request_version=1.1
request_uri=http://<IP_ADDRESS>:8080/
SERVER VALUES:
server_version=nginx: 1.10.0 - lua: 10001
HEADERS RECEIVED:
accept=*/*
accept-encoding=identity
connection=Keep-Alive
host=<IP_ADDRESS>:8080
user-agent=Wget/1.19.5 (linux-gnu)
BODY:
-no body in request-
The pod seems ready to run, so attempt to send it a POSIX command and see what happens. As a number of images feature readme files in their root, go ahead and take a gander at it using cat:
kubectl exec hello-minikube-6c47c66d8-2bhml cat README.md
It should contain a brief description and changelog of the specific image.
# Echoserver
This is a simple server that responds with the http headers it
received.
Image versions >= 1.4 removes the redirect introduced in 1.3.
Image versions >= 1.3 redirect requests on :80 with
`X-Forwarded-Proto: http` to :443.
Image versions > 1.0 run an nginx server, and implement the
echoserver using lua in the nginx config.
Image versions <= 1.0 run a python http server instead of
nginx, and don't redirect any requests.
Other commands work as well, and some images even contain interactive shells that allow internal adjusting and development.
The pods themselves can be manipulated via supervisors called deployments which offer finer control over what happens on the k8s server. Deployments can be listed in roughly the same manner as nodes and pods.
kubectl get deployments
The minikube instance running should have started with at least one deployment, which in turn is tied to that one pod. Deployments are rather simple and derive from the yaml script that controls their functions. To change it, use the edit command like so:
kubectl edit deploy/hello-minikube
In a text editor the contents of the yaml script will be opened for editing. For the echoserver image, part of it looks like this:
# Please edit the object below. Lines beginning with a '#' will
# be ignored, and an empty file will abort the edit. If an error
# occurs while saving this file will be reopened with the
# relevant failures.
#
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
annotations:
deployment.kubernetes.io/revision: "1"
creationTimestamp: 2018-08-29T17:18:36Z
Suppose there was a need to add a small change to an image and then rollout to all of the pods handled by this deployment. Tweak the revision to "2" and the deployment will handle the rollout of change automatically, which should occur rather fast in this case since there is only one pod. To check the status of the rollout, use the following command:
kubectl rollout status deploy/hello-minikube
If that worked, a success message will be shown. If a failure occurred, consider rolling back all of the pods using the undo feature, like so:
kubectl rollout undo deploy/hello-minikube --to-revision=1
Setting revision numbers in that manner is good practice and allows rollout and rollback of versions of a pod, akin in philosophy to practices found in software development.
That handles some of the basics of using Kubernetes, however, there are a great many features that could use further explorating, such as the secrets feature that allows for encryption functionality throughout the node. These may be explored in some future post.


Williams carries Appalachian St. past Charlotte 64-55
BOONE, N.C. (AP) — O'Showen Williams registered 19 points as Appalachian State beat Charlotte 64-55 on Thursday night.
Adrian Delph had 15 points for Appalachian State (4-3).
Jordan Shepherd scored a career-high 20 points for the 49ers (2-2).
Appalachian State matches up against East Tennessee State on the road on Tuesday. Charlotte takes on Georgia State on the road on Wednesday.


- get() - Method in class com.knowgate.http.HttpRequest
-
Perform HTTP GET request
- getAbsolutePath() - Method in class org.lesscss.LessSource
-
Returns the absolute pathname of the LESS source.
- getCharacterEncoding() - Method in class com.knowgate.xhtml.XMLDocument
-
- getContent() - Method in class org.lesscss.LessSource
-
Returns the content of the LESS source.
- getCookie(Object, String, String, String) - Static method in class com.knowgate.http.Cookies
-
Get cookie from an HttpServletRequest
- getCookies() - Method in class com.knowgate.http.HttpRequest
-
Get cookies read from the last get or post call
- getCustomJs() - Method in class org.lesscss.LessCompiler
-
Returns the custom JavaScript files used by the compiler.
- getEncoding() - Method in class org.lesscss.LessCompiler
-
Returns the character encoding used by the compiler when writing the output File
.
- getEnvJs() - Method in class org.lesscss.LessCompiler
-
Returns the Envjs JavaScript file used by the compiler.
- getHeaders() - Method in class com.knowgate.http.HttpRequest
-
Get headers read from the last get or post call
- getHttpAccept() - Method in class com.knowgate.http.UAgentInfo
-
Return the lower case HTTP_ACCEPT
- getImports() - Method in class org.lesscss.LessSource
-
Returns the LESS sources imported by this LESS source.
- getIsIphone() - Method in class com.knowgate.http.UAgentInfo
-
Return whether the device is an Iphone or iPod Touch
- getIsTierGenericMobile() - Method in class com.knowgate.http.UAgentInfo
-
Return whether the device is a generic, less-capable mobile device.
- getIsTierIphone() - Method in class com.knowgate.http.UAgentInfo
-
Return whether the device is in the Iphone Tier.
- getIsTierRichCss() - Method in class com.knowgate.http.UAgentInfo
-
Return whether the device is in the 'Rich CSS' tier of mobile devices.
- getIsTierTablet() - Method in class com.knowgate.http.UAgentInfo
-
Return whether the device is in the Tablet Tier.
- getLanguage() - Method in class com.knowgate.http.HttpRequest
-
Get response HTML document content language
- getLastModified() - Method in class org.lesscss.LessSource
-
Returns the time that the LESS source was last modified.
- getLastModifiedIncludingImports() - Method in class org.lesscss.LessSource
-
Returns the time that the LESS source, or one of its imports, was last modified.
- getLessJs() - Method in class org.lesscss.LessCompiler
-
Returns the LESS JavaScript file used by the compiler.
- getNormalizedContent() - Method in class org.lesscss.LessSource
-
Returns the normalized content of the LESS source.
- getTitle() - Method in class com.knowgate.http.HttpRequest
-
Get response HTML document title
- getUserAgent() - Method in class com.knowgate.http.UAgentInfo
-
Return the lower case HTTP_USER_AGENT


Databuddy is an android app that lets you earn Paytm Cash by performing simple tasks like installing , downloading & registering on the top trending free android Apps, Games & website. Earned Wallet cash on every action on Databuddy which can be redeemed against data recharge & Paytm cash.
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★ Download exclusive offers listed in Databuddy like install,click and survey
★ Invite friends & family to Databuddy to earn more cash
★ Daily, Weekly Auctions & Guaranteed Winner for all auctions
★ Buy Data recharge packs (3G & 4G Data Recharge) OR transfer wallet balance to Paytm account
Invite and Earn:
Invite your friends & family to try Databuddy by sharing a link through WhatsApp, Facebook, Twitter, Hike, SMS & Gmail and earn free Paytm cash
**Currently supports all major telecom operators like Airtel, Vodafone, Idea, Reliance, Jio.


Java VisualVM is able to access and display data about applications running on remote hosts. After connecting to a remote host, Java VisualVM can display general data about the application's runtime environment and can monitor memory heap and thread activity.
Note. Java VisualVM can retrieve monitoring information on remote applications but it cannot profile remote applications.
Connected remote hosts are displayed as nodes under the Remote node in the Applications window. When you are connected to a remote host, Java VisualVM displays applications running on the host as sub-nodes, and automatically updates the status of the remote applications, removing the applications when they stop and adding applications when they start.
To add a remote host, right-click the Remote node in the Applications window, choose Add Remote Host and type the host name or IP address in the Add Remote Host dialog box. (You can also specify a display name that will be used to refer to the host when listed under the Remote node.)
Note: To retrieve and display information on applications running on the remote host, the jstatd utility needs to be running on the remote host. To start the jstatd utility, type jstatd on the command line. The jstatd utility is included as part of Java Development Kit (JDK) version 6. For more on jstatd, see the man page for Solaris, Linux, or Mac OS X or Windows.
When Java VisualVM is connected to a remote host, a node for the remote host appears under the Remote node in the Applications window. You can expand the remote host node to view the applications running on the remote host.
Java VisualVM displays data about each running remote application in a dedicated tab in the main window. To open the application tab, right-click the application node in the Applications window and choose Open. (Alternatively, you can double-click the application node.) When you click Open, the Overview tab of the application tab opens in the main window.
You can use the sub-tabs in the application tab to view details
about the application.
For more see the following documents:


survivor is best show on tv
the reasons survivor is the best show on tv:
Check out survivor here
here is a link for our favorite things


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[#list content.pictures as p]
${p.description!}
[/#list]
[#list content.pictures as p]
${p_index+1}
[/#list]
/${content.pictures?size}


🎨 A group of researchers in Australia have been using machine learning to explore the history of rock art. By using multiple datasets with millions of images they were able to teach a model to distuinguish "more than 1000 different types of objects". Amazingly, based on the art style of the drawings, the model has had success in estimating when the art was drawn!
🏺 A group of archaeoloists has also been using machine learning to categorise historical artefacts. This saves them time and allows them to focus on making more exciting discoveries more quickly. This is another example of how machine learning can be used to quickly categorise objects in an intelligent human-like way.
📜 Lastly a group of researchers from MIT’s Computer Science and Artificial Intelligence Laboratory are working on a system that can help to translate languages lost to time. Their advanced system uses various language features and the predicatable ways in which languages change in order to work out preiously undeciphered texts. The fact that this technology is so quickly at a remarkably advanced stage suggestes that may be even more exciting developments to come!
About the Author
About the Author
Amren Stephenson
Amren has been coding for 10 years now and is interested in game development. He has participated in multiple Game Jams and even published applications to the iOS App Store.


Full URL Encoder
This will URL encode the full input.
Input:
Output:
Full URL Encoder
This will URL encode the full input.
Input:
Output:


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If you've been in web-frontend programming business for a while you will undoubtly notice that a good look of your software is sometimes as important as it's functionality: it should be a pleasure to the eyes when one has to work with the software a few hours a day. The standard widget set's layout is designed to be fast over very slow connections but it doesn't look very nice *sigh*.
One solution to this problem is to write an own widget set but often you don't want to create HTML templates yourself. Especially if you're a programmer you're happy if you can get HTML code done by an artist which is ready to get plugged in to your program. The artist should only have to know some extra tags he can place in his HTML code to fill in dynamic content. And since you can focus just on the data, your code will be more clean.
Let's take a look at a view function that displays a tables contents the traditional way:
function show_table ($this) { $p =& $this->ui; $p->headline ('Table listing'); $p->open_source ('table'); if ($p->query ()) { while ($p->get ()) { $p->inputline ('surname'); $p->inputline ('name'); } } else $p->msgbox ('No entries found.'); $p->close_source (); }
The code is quite straightforward. After printing the title we open a source, select a result and print widgets for each field. Surely an artist is not interested about how to fetch a result set. He wants the result set to be already there and to repeat a part of the template for each result. Some parts of the template should be used conditionally (e.g. status messages).
xml_template class method exec() takes the name of a template and an array of data keyed by names that can be matched within the template. After the tags were replaced, the template is echoed. Before using exec(), the tk_template module must be initialised so you can get form names und useful urls normally used in wiget sets. In the following example we use the chached version of xml_template:
<? include 'admin_panel/tk/template.php'; include 'text/xml/template__cached.class'; finction init (&$this) { # ... other initialisations... tk_template_init ($this, new xml_template_cached ($this->db)); } function show_table ($this) { $p =& $this->ui; $res = array (); $p->no_update; # Avoid form generation in open_source(). $p->open_source ('table'); if ($p->query ()) { while ($p->get ()) { tk_template_get_field ($this, $r, 'surname'); tk_template_get_field ($this, $r, 'name'); $res['table'][] = $r; } } else $res['error'] = 'No entry found.'; $p->close_source (); $this->tk_template->exec ('show_table.html', $res); } ?>
This is show_table.html (virtually done by an artist):
 <title>Show table</title>
Contents of table
  <cms:if match="error">
<cms:value match="error"/> </cms:if> <cms:if-not match="status"> <form action="<cms:form-action/>" method="post">
 <cms:list match="table">
 <input type="text" value="<cms:value field="name"/>" name="<cms:name field="name"/>	 <input type="text" value="<cms:value field="surname"/>" name="<cms:name field="surname"/>
 </cms:list>
 <input type="submit" value="Ok" name="<cms:value match="submit"/>"> </form> </cms:if>
Since the template contains a form for field of the result set so the user can edit and post them, we fetch a form field description using tk_template_field() which also stores the current value. tk_template() recognizes field descriptions automatically so you can store them like scalars.
tk_template() uses the XML scanner class shipped with the Caroshi. To speed up the whole process of generating HTML output each template is read from the file once, scanned and stored to the database as a document tree which can be processed quite fast. To update a template, its entry in the database must be deleted. Alternatively the whole template table can be deleted since they'll be restored on demand.
In the following sections we'll explain the tk_template() functions in detail, followed by the tags available.
tk_template() uses a fixed set of tags that allow fetching scalar values and iterate over lists using the same block repeatedly as well as simple conditionally executed blocks that test if particular results were defined or not.
The template toolkit provides a very simple interface to the XML scanner. Widget and helper functions for it are also available but change a lot. If you can't afford to be interrupted by API changes, use an own copy of the files. You can find all (yet undocumented) extensions in directory admin_panel/tk/template/ext.


2020 BMW M550i: 'Pure' V8 sedan priced from $134,900
The M550i xDrive will be the first 'regular' BMW model to be offered with a cheaper, lower-specced 'Pure' variant in Australia.
by Scott Collie- shares
The BMW M550i xDrive will be a cut-price M5 alternative in Australia, with the twin-turbo V8 sedan kicking off at $134,900 before on-road costs when it arrives early in 2020.
The entry-level M550i xDrive will be badged Pure, a label previously reserved for pared-back M3 and M2 variants, and will undercut the fully-specced M550i xDrive by $15,000.
Despite its lower sticker price, the all-wheel drive Pure is powered by a 4.4-litre twin-turbo V8 engine making 390kW and 750Nm, good for a 100km/h sprint time of just 3.8 seconds.
Under the skin, it gets M Sport brakes, an adaptive suspension, an M Sport differential, and a set of 20-inch alloy wheels.
The interior gets wood trim, sport seats, a set of digital instruments, a head-up display, the BMW Driving Assistant Plus package, and a surround sound system.
Moving to the M550i xDrive bumps the price to $149,900 before on-road costs, and gives you the same 4.4-litre engine and eight-speed automatic transmission.
The extra money buys you active anti-roll stabilisation and rear-wheel steering, laser headlights, soft close doors, an instrument panel trimmed in leather, a sunroof, and metallic paint – although the sunroof ($3000) and metallic paint ($2000) are optional on the Pure.
Options on the M550i xDrive include the Innovations Package ($1700) with a display key, remote parking and gesture control, while the Indulgence Package ($7500) gives you rear seat entertainment, massaging front seats, and TV for the iDrive system.
Compared to the M5 Competition, the M550i xDrive Pure is a bit of a performance bargain. It's more than $95,000 cheaper than the M5, but only 0.4 seconds slower to 100km/h.
2020 BMW M550i xDrive pricing
- Pure - $134,900
- M550i xDrive - $149,900
All prices exclude on-road costs.
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2020 BMW M550i: 'Pure' V8 sedan priced from $134,900


A few days ago, I gave a talk at a ThoughtWorks event about experimenting with Creative Technologies and why I believe it is very important.
I love experimenting with tech on my own time but I usually face comments like “But what is the business value?”.
As much as I totally understand where people are coming from, I do believe that experimenting with a project that may not bring value, is in itself valuable.
The amount I have learnt on personal projects, building things that don’t solve problems, has a lot of value to me, but not only to me.
As a field that is innovating and changing very fast, I believe that keeping up to date with new technologies is very important if you wanna stay competitive and if you want to grow as a developer.
Also, the more I experiment with devices or technologies, the more I start thinking about ideas that would actually solve problems.
For examples, when I bought a brain sensor, I wanted to pair it with the Sphero robotic ball to be able to make it roll with the movement of my eyes. However, when I got the headset, I realised there was no JavaScript framework available with it (I’ve been mainly programming robots with Node.js so far…), so I started wondering how long it would actually get me to get something to work! :/
And then I realised there was a library allowing you to create Node.js addons for C++ libraries and this is exactly what I needed! So I got to create the first JS framework for the EPOC brain sensor and this by itself was a great thing to learn!
But then, when I finally got the Sphero to move by looking left, a new idea came to my mind. I started thinking about building a brain keyboard; a screen-based keyboard on which you could select letters by moving your eyes and that could help so many disabled people!
Unfortunately, I didn’t get enough time to work on this new idea yet, but my point is that I would have never thought of this idea if I didn’t start by trying to move a robotic ball.
In my presentation, I added a few examples of where technology is used in fields or projects that many people may not find valuable but also examples where these same technologies are then used to solve real problems in innovative ways.
If you’re interested in seeing them, here’s the link to the slides:
Experimenting with Creative Technologies


Smart size
Sizing
unset
cover
contain
fit
clamp
clip
crop
facearea
fill
fillmax
max
min
scale
Mask
unset
corners
ellipse
url
Flip direction
unset
horizontal
vertical
flip along both axes
Size
width
height
Adjustment
Brightness
Contrast
Saturation


Blockchains
Overview & Functionality
financial transactions
A concept of trust
... better safe than sorry
Blockchains
Transactions


Burgers,pizza,hotdogs,wings,Fast Food...
The classic burger is an all time BBQ favourite!
You can't go without Potato Chips
A rich, sweet, creamy rich with flavored cream
Thin layer of bread dough topped with cheese
We consume as many sandwiches as we have to eat
Fried chicken is one of the most delicious foods.
First, we start with big, fresh, crispy yellow onions.
A simple hot dog contains about 174 calories.
It goes without saying that flavor is important.
There is no one universal recipe for taco seasoning.
No products in the cart
Minimum Order Amount


#include <sdk/include/upgrade.h>
Definition at line 45 of file upgrade.h.
◆ check_cb
◆ check_times
| uint32 upgrade_server_info::check_times |
◆ ip
| uint8 upgrade_server_info::ip[4] |
◆ pespconn
| struct espconn* upgrade_server_info::pespconn |
◆ port
| uint16 upgrade_server_info::port |
◆ pre_version
| uint8 upgrade_server_info::pre_version[16] |
◆ upgrade_flag
| uint8 upgrade_server_info::upgrade_flag |
◆ upgrade_version
| uint8 upgrade_server_info::upgrade_version[16] |
◆ url
| uint8* upgrade_server_info::url |
The documentation for this struct was generated from the following file:


|
App Engine Python SDK
v1.6.9 rev.445
The Python runtime is available as an experimental Preview feature.
|
Public Member Functions | |
| def | __str__ |
| def | reset_for_retry |
| def | advance_for_next_slice |
| def | set_for_failure |
| def | set_for_abort |
| def | set_for_success |
| def | copy_from |
| def | __eq__ |
| def | get_shard_number |
| def | get_shard_id |
| def | kind |
| def | shard_id_from_number |
| def | get_key_by_shard_id |
| def | get_by_shard_id |
| def | find_by_mapreduce_state |
| def | find_all_by_mapreduce_state |
| def | calculate_keys_by_mapreduce_state |
| def | create_new |
| Public Member Functions inherited from google.appengine.ext.db.Model | |
| def | __new__ |
| def | __init__ |
| def | key |
| def | put |
| def | delete |
| def | is_saved |
| def | has_key |
| def | dynamic_properties |
| def | instance_properties |
| def | parent |
| def | parent_key |
| def | to_xml |
| def | get |
| def | get_by_key_name |
| def | get_by_id |
| def | get_or_insert |
| def | all |
| def | gql |
| def | from_entity |
| def | kind |
| def | entity_type |
| def | properties |
| def | fields |
Public Attributes | |
| last_work_item | |
| active | |
| result_status | |
| counters_map | |
| slice_id | |
| slice_start_time | |
| slice_request_id | |
| slice_retries | |
| acquired_once | |
Static Public Attributes | |
| string | RESULT_SUCCESS = "success" |
| string | RESULT_FAILED = "failed" |
| string | RESULT_ABORTED = "aborted" |
| tuple | mapreduce_id = db.StringProperty(required=True) |
| tuple | active = db.BooleanProperty(default=True, indexed=False) |
| tuple | counters_map |
| tuple | result_status = db.StringProperty(choices=_RESULTS, indexed=False) |
| tuple | retries = db.IntegerProperty(default=0, indexed=False) |
| tuple | writer_state = json_util.JsonProperty(dict, indexed=False) |
| tuple | slice_id = db.IntegerProperty(default=0, indexed=False) |
| tuple | slice_start_time = db.DateTimeProperty(indexed=False) |
| tuple | slice_request_id = db.ByteStringProperty(indexed=False) |
| tuple | slice_retries = db.IntegerProperty(default=0, indexed=False) |
| tuple | acquired_once = db.BooleanProperty(default=False, indexed=False) |
| tuple | update_time = db.DateTimeProperty(auto_now=True, indexed=False) |
| tuple | shard_description = db.TextProperty(default="") |
| tuple | last_work_item = db.TextProperty(default="") |
| Static Public Attributes inherited from google.appengine.ext.db.Model | |
| save = put | |
Properties | |
| shard_number = property(get_shard_number) | |
| shard_id = property(get_shard_id) | |
Single shard execution state. The shard state is stored in the datastore and is later aggregated by controller task. ShardState key_name is equal to shard_id. Shard state contains critical state to ensure the correctness of shard execution. It is the single source of truth about a shard's progress. For example: 1. A slice is allowed to run only if its payload matches shard state's expectation. 2. A slice is considered running only if it has acquired the shard's lock. 3. A slice is considered done only if it has successfully committed shard state to db. Properties about the shard: active: if we have this shard still running as boolean. counters_map: shard's counters map as CountersMap. All counters yielded within mapreduce are stored here. mapreduce_id: unique id of the mapreduce. shard_id: unique id of this shard as string. shard_number: ordered number for this shard. retries: the number of times this shard has been retried. result_status: If not None, the final status of this shard. update_time: The last time this shard state was updated. shard_description: A string description of the work this shard will do. last_work_item: A string description of the last work item processed. writer_state: writer state for this shard. The shard's output writer instance can save in-memory output references to this field in its "finalize" method. Properties about slice management: slice_id: slice id of current executing slice. A slice's task will not run unless its slice_id matches this. Initial value is 0. By the end of slice execution, this number is incremented by 1. slice_start_time: a slice updates this to now at the beginning of execution. If the transaction succeeds, the current task holds a lease of slice duration + some grace period. During this time, no other task with the same slice_id will execute. Upon slice failure, the task should try to unset this value to allow retries to carry on ASAP. slice_request_id: the request id that holds/held the lease. When lease has expired, new request needs to verify that said request has indeed ended according to logs API. Do this only when lease has expired because logs API is expensive. This field should always be set/unset with slice_start_time. It is possible Logs API doesn't log a request at all or doesn't log the end of a request. So a new request can proceed after a long conservative timeout. slice_retries: the number of times a slice has been retried due to processing data when lock is held. Taskqueue/datastore errors related to slice/shard management are not counted. This count is only a lower bound and is used to determined when to fail a slice completely. acquired_once: whether the lock for this slice has been acquired at least once. When this is True, duplicates in outputs are possible.
| def google.appengine.ext.mapreduce.model.ShardState.advance_for_next_slice | ( | self, | |
recovery_slice = False |
|||
| ) |
Advance self for next slice. Args: recovery_slice: True if this slice is running recovery logic. See handlers.MapperWorkerCallbackHandler._attempt_slice_recovery for more info.
| def google.appengine.ext.mapreduce.model.ShardState.calculate_keys_by_mapreduce_state | ( | cls, | |
| mapreduce_state | |||
| ) |
Calculate all shard states keys for given mapreduce. Args: mapreduce_state: MapreduceState instance Returns: A list of keys for shard states, sorted by shard id. The corresponding shard states may not exist.
| def google.appengine.ext.mapreduce.model.ShardState.copy_from | ( | self, | |
| other_state | |||
| ) |
Copy data from another shard state entity to self.
| def google.appengine.ext.mapreduce.model.ShardState.create_new | ( | cls, | |
| mapreduce_id, | |||
| shard_number | |||
| ) |
Create new shard state. Args: mapreduce_id: unique mapreduce id as string. shard_number: shard number for which to create shard state. Returns: new instance of ShardState ready to put into datastore.
| def google.appengine.ext.mapreduce.model.ShardState.find_all_by_mapreduce_state | ( | cls, | |
| mapreduce_state | |||
| ) |
Find all shard states for given mapreduce. Args: mapreduce_state: MapreduceState instance Yields: shard states sorted by shard id.
| def google.appengine.ext.mapreduce.model.ShardState.find_by_mapreduce_state | ( | cls, | |
| mapreduce_state | |||
| ) |
Find all shard states for given mapreduce. Deprecated. Use find_all_by_mapreduce_state. This will be removed after 1.8.9 release. Args: mapreduce_state: MapreduceState instance Returns: A list of ShardStates.
| def google.appengine.ext.mapreduce.model.ShardState.get_by_shard_id | ( | cls, | |
| shard_id | |||
| ) |
Get shard state from datastore by shard_id. Args: shard_id: shard id as string. Returns: ShardState for given shard id or None if it's not found.
| def google.appengine.ext.mapreduce.model.ShardState.get_key_by_shard_id | ( | cls, | |
| shard_id | |||
| ) |
Retrieves the Key for this ShardState. Args: shard_id: The shard ID to fetch. Returns: The Datatore key to use to retrieve this ShardState.
| def google.appengine.ext.mapreduce.model.ShardState.get_shard_id | ( | self | ) |
Returns the shard ID.
| def google.appengine.ext.mapreduce.model.ShardState.get_shard_number | ( | self | ) |
Gets the shard number from the key name.
| def google.appengine.ext.mapreduce.model.ShardState.kind | ( | cls | ) |
Returns entity kind.
| def google.appengine.ext.mapreduce.model.ShardState.reset_for_retry | ( | self | ) |
Reset self for shard retry.
| def google.appengine.ext.mapreduce.model.ShardState.shard_id_from_number | ( | cls, | |
| mapreduce_id, | |||
| shard_number | |||
| ) |
Get shard id by mapreduce id and shard number. Args: mapreduce_id: mapreduce id as string. shard_number: shard number to compute id for as int. Returns: shard id as string.
|
static |


--- layout: page title: About header-img: "img/about-bg.png" ---
I was a librarian in a previous life.


TopPIC identifications with a spectral level cutoff
TopPIC identifications with a proteoform level cutoff
TopMG identifications with a spectral level cutoff
TopMG identifications with a proteoform level cutoff


Greetings from
Codecell
!!
Hi {{name}}, You have registered for our workshop. Only {{seats}} seats remaining. Hurry!
Thanks, KJSCE CodeCell
Copyright © KJSCE Codecell, All rights reserved.


get
AddRow
This is a testing page for processSchemaClass.
output
Name
enterSchemaName
Gender
male
female
alien
Your gender


Work Day Scheduler
A simple calendar app for scheduling your work day
Time
Event
Save
9am
10am
11am
12 noon
1pm
2pm
3pm
4pm
5pm


Essence Events
Logout
Todo List
Calendar
You can see your current schedule above.
To edit your Google Calendar,
click here
.
Admin
Create Account
Update User Email
Delete Account
Update Vendor Information
Submit
Ready to Leave?
×
Select "Logout" below if you are ready to end your current session.


Poké Type Calculator
Search by Pokémon Name or Type?
By Name:
Type of battle:
normal
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none
Type of battle:
normal
inverse


Hi I am Iulia Soimaru
Web Developer specializing in Ruby on Rails and JavaScript
Creative and self-motivated web developer with 2+ years of experience in project coordination. What motivates me? 2 years ago I had the opportunity to come to America from Moldova. I feel so lucky to have had this opportunity and I want to make the most of it. I love the dynamic and creative culture here and I love being around people who are trying to achieve their dreams.
I first got into web development working at the Jewish Community Center in Moldova. I learned my first HTML and CSS as head of content management for our website. When I came to the US, I got an accounting job at first, but I always wanted to do more creative and meaningful things and have more responsibility. So I decided to learn web development more deeply. Most of my experience is with Ruby in Rails and JavaScript. Now I am looking for new opportunities in this field and I am ready to bring drive and positive attitude to your team.


FEZ
FEZ is the official TinyCLR OS board and reference design. Its port, called FEZCLR, has the latest and greatest software, and should be used as a reference for starting new ports. � Find Hardware resources and other 3rd party software on the FEZ hardware page
FEZ includes the GHI Electronics bootloader for making software update easier. The board comes pre-loaded with the loader. In case you erased the board and want to reload the bootloader, you can download it here. To load the bootloader file onto FEZ, use the DFU tools as explained here
Using TinyCLR OS
This requires loading the GHI Bootloader v2 and the FEZCLR firmware. �
Loading Bootloader v2
The loader comes loaded by default and does not need to be updated. However, if the loader was erased and needs to be loaded:
- Download and save the bootloader file.
- Press and hold BOOT0 button while resetting the FEZ.
- Follow the instructions for Uploading DFU Files.
Loading the Firmware
- Press and hold the BTN1 button down while resetting the board.
- Download the FEZCLR firmware and follow Loading the Firmware steps.


Blockcore is a group of developers and engineers working to realize a decentralized future. We are free individuals belonging to no jurisdiction or borders. We have realized a fully integrated platform for building custom blockchains and Web5 technology that anyone can use freely.
To get in contact with the team, join our Discord.
You can also contact us by e-mail to<EMAIL_ADDRESS>Technical: Wednesday (weekly) at 21:00 UTC
Blockcore is a group of independent individuals without any official organization behind it. All work is done on voluntary basis.
If you enjoy our software and services, please feel free to help continue the development and improvement of the Blockcore Platform by becoming an sponsor.
Funds provided to the Blockcore team will be utilized for server infrastructure, hosting services and other expenses related to the continued development and hosting of the Blockcore Platform.
https://geyser.fund/project/blockcore
https://opencollective.com/blockcore
https://gitcoin.co/grants/1172/the-blockcore-fund
If you'd like to become an official sponsor, please contact us by e-mail at<EMAIL_ADDRESS>October 2021 a team of Blockcore-members received funding from the Stratis Decentralized Accelerator to develop CoinVault, a browser extension based wallet for Stratis and Cirrus blockchain.
Here are our icons available for download and use.
Here are our logos and banners available for download and use.


Tutorial: roadmap
roadmap
v0.x.x
Initial pre-release version
Home
Modules
CorrentlyWallet
Tutorials
CorrentlyWallet.draw
CorrentlyWallet-CLI
Getting Started with CorrentlyWallet
roadmap


COMMENT
PAGES
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Back to Ellipsis Design Home
©2003 EllipsisDesign. All rights reserved


Demo {{name}}
Autocomplete using remote method
Selected Product:{{selectedItem}}
Autocomplete for the color template selection
Selected Color : {{selectedColor}}
Autocomplete for the profile template selection
Selected People : {{selectedPeopleWithImage}}
Autocomplete for the profile template selection without image
Selected People : {{selectedPeopleWithoutimage}}
Autocomplete for the produtcs template selection
Selected Product : {{selectedProduct}}
Autocomplete for the Foods template selection
Selected Food : {{selectedFood}}
Autocomplete for the cars template selection
Selected Car : {{selectedCar}}
Autocomplete for Full profile template selection without image
Selected People : {{selectedProfile}}


All Classes
AbstractCellLeaf
AbstractListenableModel
AICommandGenerator
Bomb
CellComponent
CellComposite
CellView
Command
ConsoleController
ConsoleView
Controller
DeferredElementRemover
DisplayVisibleElement
EnergyPickup
Explosive
Game
GamePanel
GameSettings
GUIPanel
ListenableModel
ListenerModel
LoadResources
Main
MapModel
MapView
Menu
Mine
MoveCommand
PlaceBombCommand
PlacedWall
PlaceMineCommand
Player
PlayerFactory
ProxyVisibleElement
ShieldCommand
ShootCommand
Vec2
VisibleElement
VisibleElementModel
VisibleType
WaitCommand
Wall
WindowController
WindowView


The design started with a very simple idea, and with help from some close friends, I have completed a somewhat comprehensive design in a surprisingly short amount of time. I have some hesitations as well as some shining pride for this design. Some of my ideas for this design are discussed in the design section, as well as some explanation of how it works. Please take the time to review what I ahve written so that you can use this design to its fullest potential in your website.
This is where I like to spout random stuff that most people don’t really care about anyway. I already know that what I say doesn’t matter to the mass population. I still write my daily musings for one reason, and one reason alone: The lone soul who visits my page and gets every single one of my jokes. This person is mysterious and indescribable.  He is neither! He is actually an undiscovered genius!
If your IP shows up in my logs frequently, as if you are enjoying what I post here, I will make sure to forward an application to MENSA to you. Good luck!


--- layout: default header: interchange.jpg color: 3 pagetitle: About me ---
I am a PhD student in Computational Chemistry and MSc student in Computer Science at University of Minnesota Twin Cities, advised by J. Ilja Siepmann. My research interests include physics-informed machine learning, physically-based simulations, and high-performance computing. My PhD research is supported by the Nanoporous Materials Genome Center. I received Bachelor's degree in Chemistry with Honors from Wuhan University in 2017.
Apart from my PhD research I am also interested in computer graphics, game development, and graphics design. I am an active game modding developer for Cities: Skylines, one of the most popular city-building games in the past decade. My primary modding project, Cities: Skylines Urban Road (CSUR), has more than 35,000 users (cumulative) on the Steam Workshop.
I am looking for full-time positions in simulation and machine learning for game development, content creation, and digital twin modeling starting Spring 2022 or later. I would greatly appreciate it if you can contact me about related opportunities.
Click here to learn about my PhD research.
Click here to view my software projects.
Click here to view my design, illustration, and modeling works.


- SeriesData - Class in client
-
The plot series data.
- SeriesData() - Constructor for class client.SeriesData
-
Construct a SeriesData.
- ServerException - Exception in client
-
Server Exception class.
- ServerException(String) - Constructor for exception client.ServerException
-
Construct a new ServerException.
- setContent(String) - Method in class client.ResultUI
-
Set the content of the text area.
- setData(String) - Method in class client.LearnResult
-
Set the retrieved data string.
- setData(PlotData) - Method in class client.PlotUI
-
Set the plot data to show.
- setPlotData(PlotData) - Method in class client.LearnResult
-
Set the plot data.
- showError(String, String) - Static method in class client.ClientUI
-
Show an error popup.
- showInformation(String) - Static method in class client.ClientUI
-
Show a information popup.
- size() - Method in class client.SeriesData
-
- socket - Variable in class client.ClientMain
-
The connection socket.
- start(Stage) - Method in class client.ClientMain
-
Start the client application.
- status - Variable in class client.ConnectionUI
-
The connection status label.
- storeClustersInFile() - Method in class client.ClientMain
-
Store the clusters in file.
- storeTableFromDB(String) - Method in class client.ClientMain
-
Store the table from database.


Why have we created this pattern?
- the GOV.UK pattern does not meet the user need
Relevant GOV.UK patterns
Example component
Interaction principles
- help should be available to users without interfering in their current flow
- help should be easy to close, move and minimise until the user needs it
- links to more comprehensive help should be easy to find, if contextual help doesn't answer a users question
Content principles
Accessibility principles
- needs testing
User research
- users find side-by-side guidance more helpful and easier to use.
- small overlay windows offer a smallest interference with the users flow
Prototype code
- Styles — help.scss
Services using this pattern
- Application platform
- Entities


C::\ProgramData\Microsoft\Wlansvc\Profiles\Interface\{Interface GUID}
There, you will find a hex-encoded XML document with the wireless password.
Gaining access to the wireless AP can be as simple as cracking the WEP key or as complex as using ICMPTX, but wireless access can be broken. If all else fails, target one machine on the network, own it, and then recover the password as described above.


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Developed by Ashwin


Files CCore/inc/FileToMem.h CCore/src/FileToMem.cpp
The class FileToMem loads the file to the memory. It is derived from the class ToMemBase.
class FileToMem : public ToMemBase
{
public:
explicit FileToMem(StrLen file_name,ulen max_len=MaxULen);
~FileToMem();
// swap/move objects
void objSwap(FileToMem &obj);
explicit FileToMem(ToMoveCtor<FileToMem> obj);
FileToMem * objMove(Place<void> place);
};
The first argument of the constructor is the file_name. The second max_len is a length limit.
This class is swappable and movable.
The RawFileToRead class is used to read data from a file. It is a simple wrapped over the Sys::File. This class is used in the FileToMem constructor. See also PrintFile about file writing and printing and about Sys::File.
class RawFileToRead : NoCopy
{
Sys::File file;
public:
explicit RawFileToRead(StrLen file_name,FileOpenFlags oflags=Open_Read);
~RawFileToRead();
FilePosType getLen();
ulen read(uint8 *buf,ulen len);
void read_all(uint8 *buf,ulen len);
};
Constructor opens the file with the given name and open flags. An exception is thrown in case of error.
Destructor closes the file. Errors are reported.
Methods throw exceptions in case of errors.
getLen() returns the file length. The open flag Open_Pos is required.
read() reads the file from the current position. The number of bytes red is returned.
read_all() reads the file from the current position. The whole buffer must be red for success.


Opening: December 29, 1959
Refurbishment: December 25, 1995
Architectural design
Art work
Platform length: 105 m
Code: JZ
Previous names: Sete Rios (until 1998)
Wikipedia page


Star Wars: Episode I -- The Phantom Menace (1999) Liam Neeson, Ewan McGregor, Natalie Portman, Jake Lloyd, Pernilla August, Frank Oz, Ian McDiarmid, Oliver Ford Davies, Hugh Quarshie, Ahmed Best, Samuel L. Jackson, Ray Park, Peter Serafinowicz, Ralph Brown, Terence Stamp, Brian Blessed, Sofia Coppola. Music by John Williams. Written and directed by George Lucas. 131 minutes. Rated PG, 3.5 stars (out of five stars)
Review by Ed Johnson-Ott, NUVO Newsweekly www.nuvo-online.com Archive reviews at http://us.imdb.com/M/reviews_by?Edward+Johnson-ott To receive reviews by e-mail at no charge, send subscription requests
to<EMAIL_ADDRESS>On a Wednesday afternoon in 1977, I casually decided to catch an opening day matinee of "Star Wars." I knew nothing about the movie. Aside from a large, nondescript ad in the Sunday paper, there was no local hype for the film. The last sci-fi picture to play Indianapolis, "Logan's Run," proved quite a disappointment, so my expectations for this new offering were nil. At the uncrowded theater (the frenzy would not hit until the weekend), I entered with an open mind and emerged with an ear-to-ear grin on my face.
22 years later, I tried to attend a critics' screening of "Star Wars: Episode I -- The Phantom Menace" with a similar frame of mind.  I would just sit back and let the movie wash over me. When I left the theater 131 minutes later, my grin was far less broad than in my youth, but it was still a treat to revisit George Lucas' universe.
"The Phantom Menace" is a feast for the eyes and ears. The images of exotic cities on distant worlds are spectacular and the myriad alien species wildly imaginative. John Williams' rich, sweeping score enhances every aspect of the production, from the action scenes to the quiet moments. Lucas offers larger than life characters and a mythic storyline tempered to a degree by comic relief. But despite the presence of so many of the right elements, the production leaves an oddly distant feel, because Lucas forgot the all important Han Solo factor.
This film desperately needs a wisecracking swashbuckler, someone for viewers to identify with so we can vicariously experience the story rather than simply observe it. In Episodes Four, Five and Six, Han Solo fit the bill perfectly, always ready with a caustic remark, a glib aside and open expressions of anger, fear and, occasionally, heartfelt sentiment. He humanized the proceedings in a way that no character does here.
In "The Phantom Menace," the primary players are a boy, two Jedi knights and a Queen. The Jedi Master and his apprentice project the inner serenity appropriate for disciples of the Force. The Queen, due to her station in life, must maintain an air of dignity and the child mostly remains in awe of the incredible goings-on around him. As a result, we witness a grand adventure enacted with far too much restraint and reserve. To truly engage us, we need at least one full- fledged adventurer. Instead, we must make due with a kid surrounded by royalty and Mennonites. The actors are all fine, but Lucas plops them into a stifling stylistic box.
Comic relief is provided by Jar Jar Binks, a computer-animated sidekick who speaks in a fractured fashion reminiscent of Jamaican patois and falls down a lot. Initially, Jar Jar is phenomenally annoying, but he grew on me as the film progressed and, towards the end, was almost likable. Other humorous touches include a two-headed sports announcer who provides lively commentary during a high-speed race, and Ewan McGregor's hair. The Jedi apprentice sports a close- cropped 'do with a long rattail, the kind of style that was popular in the '80s and now is worn only by the young sons of aging rednecks. McGregor's hair serves as a reminder that the story is indeed set "a long time ago in a galaxy far, far away." Later scenes feature a vast army of battle 'droids whose bowling-pin heads suspiciously resemble that of Crow, the wiseacre robot from "Mystery Science Theater 3000." Coincidence? Perhaps, but I suspect their appearance is a sly homage from Lucas.
Although set decades before "Star Wars: A New Hope," several treasured characters from the initial trilogy appear in "The Phantom Menace."  As a young Obi-Wan Kenobi, Ewan McGregor adds a nice touch of continuity by echoing Alec Guinness' vocal cadences.
But, for better or worse, personalities are the least of "Star Wars: Episode I -- The Phantom Menace." The main pleasures of the film come with the spectacle of it all; from a wild flight past a magnificent underwater city to a razzle-dazzle pod race that is half "Ben-Hur," half Indy 500. While "The Phantom Menace" is emotionally remote, it is also unquestionably sumptuous. This installment of George Lucas' self-described "Saturday afternoon serial for children" may not be the best in the series, but it certainly has its share of rewards. To enjoy the production, do your best to forget all the hype and just let the movie wash over you.
© 1999 Ed Johnson-Ott
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


A Daemon Set ensures that all (or some) nodes run a copy of a pod. As nodes are added to the cluster, pods are added to them. As nodes are removed from the cluster, those pods are garbage collected. Deleting a Daemon Set will clean up the pods it created.
Some typical uses of a Daemon Set are:
glusterd
, ceph
, on each node.fluentd
or logstash
.collectd
, New Relic agent, or Ganglia gmond
.In a simple case, one Daemon Set, covering all nodes, would be used for each type of daemon. A more complex setup might use multiple DaemonSets would be used for a single type of daemon, but with different flags and/or different memory and cpu requests for different hardware types.
As with all other Kubernetes config, a DaemonSet needs apiVersion
, kind
, and metadata
fields. For
general information about working with config files, see here,
here, and here.
A DaemonSet also needs a .spec
section.
The .spec.template
is the only required field of the .spec
.
The .spec.template
is a pod template.
It has exactly the same schema as a pod, except
it is nested and does not have an apiVersion
or kind
.
In addition to required fields for a pod, a pod template in a DaemonSet has to specify appropriate labels (see pod selector).
A pod template in a DaemonSet must have a RestartPolicy
equal to Always
, or be unspecified, which defaults to Always
.
The .spec.selector
field is a pod selector. It works the same as the .spec.selector
of
a ReplicationController or
Job.
If the .spec.selector
is specified, it must equal the .spec.template.metadata.labels
. If not
specified, the are default to be equal. Config with these unequal will be rejected by the API.
Also you should not normally create any pods whose labels match this selector, either directly, via another DaemonSet, or via other controller such as ReplicationController. Otherwise, the DaemonSet controller will think that those pods were created by it. Kubernetes will not stop you from doing this. Once case where you might want to do this is manually create a pod with a different value on a node for testing.
If you specify a .spec.template.spec.nodeSelector
, then the DaemonSet controller will
create pods on nodes which match that node
selector.
If you do not specify a .spec.template.spec.nodeSelector
, then the DaemonSet controller will
create pods on all nodes.
Normally, the machine that a pod runs on is selected by the Kubernetes scheduler. However, pods
created by the Daemon controller have the machine already selected (.spec.nodeName
is specified
when the pod is created, so it is ignored by the scheduler). Therefore:
unschedulable
field of a node is not respected
by the daemon set controller.Some possible patterns for communicating with pods in a DaemonSet are:
hostPort
, so that the pods are reachable
via the node IPs. Clients knows the the list of nodes ips somehow, and know the port by convention.endpoints
resource or retrieve multiple A records from
DNS.If node labels are changed, the DaemonSet will promptly add pods to newly matching nodes and delete pods from newly not-matching nodes.
You can modify the pods that a DaemonSet creates. However, pods do not allow all fields to be updated. Also, the DeamonSet controller will use the original template the next time a node (even with the same name) is created.
You can delete a DeamonSet. If you specify --cascade=false
with kubectl
, then the pods
will be left on the nodes. You can then create a new DaemonSet with a different template.
the new DaemonSet with the different template will recognize all the existing pods as having
matching labels. It will not modify or delete them despite a mismatch in the pod template.
You will need to force new pod creation by deleting the pod or deleting the node.
You cannot update a DaemonSet.
Support for updating DaemonSets and controlled updating of nodes is planned.
It is certainly possible to run daemon processes by directly starting them on a node (e.g using
init
, upstartd
, or systemd
). This is perfectly fine. However, there are several advantages to
running such processes via a DaemonSet:
kubectl
) for daemons and applications.It is possible to create pods directly which specify a particular node to run on. However, a Daemon Set replaces pods that are deleted or terminated for any reason, such as in the case of node failure or disruptive node maintenance, such as a kernel upgrade. For this reason, you should use a Daemon Set rather than creating individual pods.
Daemon Set are similar to Replication Controllers in that they both create pods, and those pods have processes which are not expected to terminate (e.g. web servers, storage servers).
Use a replication controller for stateless services, like frontends, where scaling up and down the number of replicas and rolling out updates are more important than controlling exactly which host the pod runs on. Use a Daemon Controller when it is important that a copy of a pod always run on all or certain hosts, and when it needs to start before other pods.
DaemonSet objects are in the extensions
API Group.
DaemonSet is not enabled by default. Enable it by setting
--runtime-config=extensions/v1beta1/daemonsets=true
on the api server. This can be
achieved by exporting ENABLE_DAEMONSETS=true before running kube-up.sh script
on GCE.
DaemonSet objects effectively have API version v1alpha1
#api-versioning).
Alpha objects may change or even be discontinued in future software releases.
However, due to to a known issue, they will appear as API version v1beta1
if enabled.


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Scott McTominay rise under Jose Mourinho will give Oliver Skipp hope at Tottenham
by Tom ProcterJose Mourinho is officially the new Tottenham Hotspur manager.
The club announced on Tuesday that they had sacked Mauricio Pochettino after over five years in charge, and many Spurs fans were rocked by the news.
Mourinho arrives having been out of work for just under a year after leaving Manchester United in December 2018.
The work will begin immediately for the Portuguese tactician, with West Ham United next up for Spurs in the Premier League.
Mourinho will take the next couple of days to get to know his new players in training, and one man who will be hoping to catch his eye is youngster Oliver Skipp.
TBR’s view – McTominay rise will encourage Skipp
Some Tottenham fans have expressed concern that Mourinho could be a barrier to the younger players’ route to the first-team.
Mourinho made some questionable decisions as Manchester United manager, but he can be commended for the faith he showed in midfielder Scott McTominay.
Mourinho was the man who handed him his debut at the end of the 2016/17 season, and called upon him regularly over the next couple of years.
The Scotland international’s rise at Old Trafford has been impressive, and he is now a regular in Ole Gunnar Solskjaer’s team and very popular with the fans.
Skipp will see no reason why he can’t become Mourinho’s next McTominay.
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Let us know


About me
My name is Adam Waniczek and welcome to my profile site.
I graduated the Silesian University of Technology in the field of mechatronics and almost 3 years I work as PLC programmer. I communicate in Polish, English and German, so ask away.
Answer is simple - Java was the first language I started learning myself. My first programming language which I learned in my high school was Pascal. During my studies, I learned the basics of such languages like C, C++, and C# and I learned also about networks, topologies and algorithms. But Java interested me the most because of the bootability on any JVM containingh hardware and numbers of usefull libraries.
To inprove my object-oriented programming projects I am trying to use good practises based on SOLID rules and design patterns.
Nowadays I am looking for opportiunity to start my career in IT as junior java programmer.I would like to develop toward REST web services and also Angular SPA.
Java 8/11
JavaScript
C++
LD/SFC/FBD/ST
Spring
Hibernate
JUnit/ Mockito
AngularJS
MySql/SqlLite
HTML5
CSS3
JQuery
Bootstrap
Contact


resume
Research Interests:
Language modeling and generation, sequential decision making, compositionality in neural models for language processing.
EDUCATION:
|
PhD, Computer Science Courses Taken: Natural Language Processing, Reinforcement Learning, Mathematical Foundations of Machine Learning, Structured Prediction and Optimization |
January 2018 - Present |
|
Master of Science, Computer Engineering Courses Taken: Maths for Intelligent Systems, Machine Learning, Advanced Machine Learning, Cloud Computing and Storage, Advance Data Structures, Analysis of Algorithms, Computer Architecture, Distributed Operating System. Master's Thesis: Compositional Language Modeling |
Aug 2013 - Dec 2015 |
|
B. Tech, Electronics and Communication Engineering |
July 2006 - May 2010 |
PUBLICATIONS:
Kushal Arora*, A. Chakraborty*, and J. Cheung. “Learning Lexical Subspaces in the Distributional Vector Space”, Transactions of the Association for Computational Linguistics (presented at ACL 2020).
S. Thakur, H. Van Hoof, Kushal Arora, D. Precup, and D. Meger “Sample Efficient Learning From Demonstrations on Multiple Tasks using Bayesian Neural Networks”, Imitation Learning and its Challenges in Robotics Workshop, NeurIPS 2018.
S. Grover, Kushal Arora, and S. K. Mitra. “Text extraction from document images using edge information.” India Conference (INDICON), 2009 Annual IEEE. IEEE, 2009.
PREPRINTS:
Kushal Arora*, L. El Asri, H. Bahuleyan, and J. Cheung. “On Exposure Bias in Language Generation: An Imitation Learning Perspective”. (Submitted to EMNLP 2020)
P. Partharathi, Kushal Arora, P. Budzianowski, J. Cheung, S. Chandar, and J. Pineau “GraphDial: Building an Interpretable Dynamic Graph for Improved Conditional Language Generation”. (Submitted to SIGDIAL 2020.)
Kushal Arora and A. Rangarajan. “A Compositional Approach to Language Modeling.” arXiv:1604.00100, 2016.
Kushal Arora and A. Rangarajan. “Contrastive Entropy: A new evaluation metric for unnormalized language models.” arXiv:1601.00248, 2016.
PROFESSIONAL EXPERIENCE:
|
Amazon |
Jun 2016 - Aug 2017 |
|
I was part of the team that developed the in-house deep learning library used within Alexa. Major contributions:
|
|
|
Amazon |
Sept 2015 - Jun 2016 |
|
Designed and implemented a pipeline to build, validate and release supplemental language model for runtime augmentation of static global language model. This model is used for doing pronunciations hotfixes or for adjusting weights in the global language model. |
|
|
Amazon |
May 2014 -Aug 2014 |
|
Analyzed counterfeit spike problem for high volume items on Amazon’s third party marketplace. I also designed a generic framework that flags and blocks the sale of dubious products based on a rule based criteria. The rules for the framework were derived from counterfeit spike analysis mentioned above. |
|
|
Chatimity |
Sept 2011-June 2013 |
|
First employee at Chatimity. Along with two founders, I helped built a scalable pseudo-anonymous chat based social network that handled millions of messages per day. At Chatimity, I was responsible for a wide variety of projects, ranging from user recommendation, community detection, search ranking, and indexing. Chatimity was recently acquired by Freshdesk. |
|
|
ST-Ericsson |
Aug 2010-Sept 2011 |
|
Developed OpenMaxIL layer components for Audio 3D Mixer and AAC Encoder and features like HTTP-streaming, buffering and seek features at the framework level. |
TALKS:
- “Learning Lexical Subspaces in the Distributional Vector Space”, CompLing, May 2019, Mila.
- “Variational Approaches for Text Generation”, CompLing, August 2018, McGill.
- “Compositional Language Modeling”, CompLing, April 2018, McGill.
- “Using Knowledge Bases for Rare Entity Prediction”, CompLing, Feb 2018, McGill.
- “Compositional Language Modeling”, DL-Ling, March 2018, McGill.
- "Implementing Alexa’s Acoustic Model in MxNet”, Amazon ML Conference 2017, Seattle.
- "Compositional Language Modeling”, Alexa Science Group Meeting, Jan 2016, Seattle.
- "Neural Network Methods for Knowledge Bases”, Data Science Tea, June, 2015, UF.
- "Introduction to Deep Learning and Theano”, Data Science Tea, Jan, 2015, UF.
- "PIDGIN: Ontology Alignment using Web as Interlingua”, Data Science Tea, Apr 2014, UF.
TECHNICAL SKILLS:
Languages: C, C++, Java, Python, Javascript, MySql.
ML Frameworks: PyTorch, Tensorflow, Chainer, Theano.
Tools: Git, GDB, MongoDB, Hadoop, Makefiles, SLURM.


Package CargoCompany
Class Employee
- java.lang.Object
-
- CargoCompany.Person
-
- CargoCompany.Employee
-
- All Implemented Interfaces:
EmployeeWorkspace
- Direct Known Subclasses:
Admin
,BranchEmployee
,TransportationPersonnel
public abstract class Employee extends Person implements EmployeeWorkspace
Abstract class that extends Person .
Abstract class that implements EmployeeWorkspace.
-
-
Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description boolean
equals(java.lang.Object obj)
Overrided equals() method.Branch
getCurrentBranch()
Get a current branch of employee.Company
getCurrentCompany()
Get current company of employee.java.lang.String
getEmployeeID()
Get a current id of employee.void
listCurrentBranchShipments()
List all the shipments that belongs to current branch.void
listEmployee()
List all employees in the company.protected void
setCurrentBranch(Branch currentBranch)
Set a current branch of employee.protected void
setCurrentCompany(Company currentCompany)
Set current company of employee.protected void
setEmployeeID(java.lang.String employeeID)
Set a current id of employee.void
shipmentInfo(java.lang.String trackingNumber)
Print the shipment-info as an output.java.lang.String
toString()
Overrided toString() method.-
Methods inherited from class CargoCompany.Person
clone, getForename, getSurname, setOrChangeForename, setOrChangeSurname
-
Methods inherited from class java.lang.Object
finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
-
Methods inherited from interface CargoCompany.EmployeeWorkspace
getPosition
-
-
-
-
Constructor Detail
-
Employee
public Employee(Company currentCompany, Branch currentBranch, java.lang.String employeeID, java.lang.String forename, java.lang.String surname)
Employee Constructor.- Parameters:
currentCompany
- Company of employee.currentBranch
- Branch of employee.employeeID
- Employee id.forename
- Employee forename.surname
- Employee surname.
-
-
Method Detail
-
setCurrentCompany
protected void setCurrentCompany(Company currentCompany)
Set current company of employee.- Parameters:
currentCompany
- Company of employee.
-
getCurrentCompany
public Company getCurrentCompany()
Get current company of employee.- Returns:
- Company of employee.
-
setCurrentBranch
protected void setCurrentBranch(Branch currentBranch)
Set a current branch of employee.- Parameters:
currentBranch
- Branch of employee.
-
getCurrentBranch
public Branch getCurrentBranch()
Get a current branch of employee.- Returns:
- Branch of employee.
-
setEmployeeID
protected void setEmployeeID(java.lang.String employeeID)
Set a current id of employee.- Parameters:
employeeID
- ID of employee.
-
getEmployeeID
public java.lang.String getEmployeeID()
Get a current id of employee.- Returns:
- Branch of employee.
-
listCurrentBranchShipments
public void listCurrentBranchShipments()
List all the shipments that belongs to current branch.- Specified by:
listCurrentBranchShipments
in interfaceEmployeeWorkspace
-
listEmployee
public void listEmployee()
List all employees in the company.- Specified by:
listEmployee
in interfaceEmployeeWorkspace
-
shipmentInfo
public void shipmentInfo(java.lang.String trackingNumber)
Print the shipment-info as an output.- Specified by:
shipmentInfo
in interfaceEmployeeWorkspace
- Parameters:
trackingNumber
- Shipment's tracking-number.
-
toString
public java.lang.String toString()
Overrided toString() method. Employee Representation as a String.
-
-


tc
Show / manipulate traffic control settings.
More information: home page
- Add constant network delay to outbound packages:
tc qdisc add dev eth0 root netem delay delay_in_millisecondsms
- Add normal distributed network delay to outbound packages:
tc qdisc add dev eth0 root netem delay mean_delay_msms delay_std_msms
- Add package corruption/loss/duplication to a portion of packages:
tc qdisc add dev eth0 root netem corruption|loss|duplication effect_percentage%
- Limit bandwidth, burst rate and max latency:
tc qdisc add dev eth0 root tbf rate max_bandwith_mbmbit burst max_burst_rate_kbkbit latency max_latency_before_drop_msms
- Show active traffic control policies:
tc qdisc show dev eth0
- Delete all traffic control rules:
tc qdisc del dev eth0
- Change traffic control rule:
tc qdisc change dev eth0 root netem policy policy_parameters


webhandler.py can use a PHP parameter and interact in your terminal. Very neat.
phpbash.php is a (larger) PHP parameter shell and uses JS in your browser to emulate a termal. Also neat.
ippsec's sokar / inception shell uses PHP parameter to echo parameter execution to a file, and read from it. Ability to PTY upgrade since it maintains the connection.


--- layout: post authors: ["Cam Macdonell"] title: "Three Bootcamps for Librarians" date: 2014-08-13 time: "13:00:00" tags: ["Bootcamps"] ---
Over the past month and a half I have been fortunate to (co-)lead three bootcamps targeted at librarians, a relatively new audience for software carpentry. These bootcamps have been located in Edmonton, Toronto, and New York, and in the same way that the term "librarian" is very broad encompassing many different disciplines and skill sets, the three bootcamps had their share of similarities and important differences. I'll start with similarities and then discuss each bootcamp's differences.
Similarities
The Edmonton and New York bootcamps were hosted by specific libraries, the Edmonton Public Library (EPL) and New York Public Library (NYPL) but open to librarians both within and outside those organizations. The Toronto bootcamp was hosted by the Mozilla Corporation and advertised to librarians in the Greater Toronto Area.
Two important similarities were 1) attendance was voluntary and 2) the bootcamps filled very quickly. Edmonton was limited to 25 attendees. An email was sent in the early afternoon and all spots were filled by the next morning. Toronto had 40 spots with about 30 or so actually attending. NYPL was open to 80 attendees, 40 within NYPL and 40 from the outer librarian community. The 40 NYPL spots filled within 5 hours of the invitation email. I'm unsure about the other 40, but I believe they filled just as quickly.
The EPL bootcamp was the first of the three bootcamps, held in early July. The bootcamp was advertised through out the Edmonton library community via email. I was the only instructor for the bootcamp and so I tried to get as much input as I could from previous librarian bootcamps. In particular, a librarian-oriented bootcamp was held at PyCon in Montreal in April, 2014. Dhavide Aruliah wrote a post-mortem and I took all advice it suggested. The primary suggestion was to be prepared to go slowly. Dhavide wrote "We asked for feedback at the end of the first day. There was an overwhelming consensus that we needed to slow down and to allocate more time for hands on stuff". The instructors in Montreal thought on their feet and Jess Hamrick came up with a lesson based on processing a circulation card that formed the basis of their second day.
Based on the above and some direct feedback from other coding librarians (Andromeda) we modified the bootcamp schedule to focus just on Python and library data and forego other SWC staples such as git and SQL. Version control and databases are essentials for people who program, but for people who have not programmed their importance is not yet clear.
In terms of material, we focused on creating three library-specific tasks. The first was Jess's circulation card example, the second was processing of a spreadsheet of library hold data and the third was processing overdue fine payments. The latter two of these lessons used real data given to us by the EPL. These lessons were more than enough content for the two day bootcamps.
In Edmonton, we started with shell and python basics. We focused on answering the question, "How many holds are there for the title Ender's Game"? We used shell programs to get the answer. This lesson introduced the concepts of files, working directories, the command-line and Unix pipeline model. The hold data we had contained over 30000 hold records, so the need for automating it was clear to the attendees.
I used this above lesson as the starting point in all three bootcamps. We followed it with a slightly harder question "What is the most popular hold?" (spoiler: it was Frozen) and introducing the new tools necessary to answer it.
After the shell, we moved onto Python. We started from the very basics, literally "Hello World". To help reinforce concepts of accessing and parsing data, we introduce Python by building solutions to the same questions above - holds on a particular title, then counting holds for all titles. This lesson usually spilled over to the second day, but by the end of the first day, students had seen variables, math operators, opening and looping over lines of a file, and splitting column data in CSV files.
The first day was very similar in all three bootcamps. Our day 1 feedback across all bootcamps was that is was generally well-paced. A handful said it was too fast, a few said too slow which with the group sizes we had is the best we can hope for. From this point the topics in the bootcamps diverged on Day 2.
Edmonton Day 2
The pre-bootcamp survey in Edmonton told us that 90% of the attendees had never programmed before. For this reason we decided to stick with Python and work with librarian data on Day 2. We used our second pre-prepared lesson of merging catalogue data. The lesson was originally created and also taught by Vicky Varga of the EPL. We concluded the second day by bringing together Python and the shell in running Python programs on the command-line. We then left about an hour for attendees to play around and ask questions.
Toronto Day 2
In Toronto, we had a larger portion of experienced attendees that wanted to move beyond Python (more than Edmonton for sure). Sensing this, at the end of day 1 we took a vote as to what students wanted to do on the second day. The choices were 1) more python with library data 2) git or 3) sql. "More Python" and SQL won out. So, the morning of the second day, we finished our Python program to count each title in the hold data. This task requires dictionaries, so it took a good chunk of the morning. We then finished the morning with about 1 hour of regular expressions.
BUT, in the aforementioned vote on topics, we had a handful of students who in addition to voting for git wrote something to the tune of "Please, please teach git, this is why I came to this". So we actually created a choice for the Day 2 afternoon. The main group learned SQL using a library-based example created by Thomas Guignard and Abby Cabunoc in the afternoon, but we had one instructor branch off (inside joke) to another room and teach git to the 6 or so students that really wanted to learn it.
Finally, at the end of the second day, we left about 1/2 hour of free time for attendees to work. This is where we learned that a few had hoped to learn about Python modules, something we didn't get to. But, I showed a few of them an example of using the XLRD module to read Excel files directly.
New York Day 2
At NYPL, we had 80 attendees so we split into two rooms due to capacity limits. We had initially planned to have a "beginner" room and an "advanced" room, but in the pre-bootcamp survey, over 40 of 52 replies indicated "I have not programmed before". So, we decided to start both rooms with the basics we had used in Edmonton and Toronto. Day 1 was similar in the two rooms working with the shell and an intro to Python from the very basics.
On the second day, we decided to offer a choice since we had two rooms. We decided to split on the two topics used on the second day in Toronto. So, before lunch on day 2, attendees were asked to indicate which topic they wanted to attend in the afternoon - "More Python" or SQL. We were considering offering a third option of git, but no one at the bootcamp had indicated a strong interest in git, we so decided not to. Most students wanted SQL, but enough wanted more python to allow us to have one room of Python and one of SQL (If everyone wanted SQL we would have done it in both rooms).
One point that I'll return to later is the importance of using library-specific examples. For Day 2 at NYPL the "More Python" lesson was based on a problem one of our attendees discussed with us. We hacked up a lesson in the late morning on Day 2 after she sent us some data files. Moreover, we also got into processing MARC records from Python using a lesson that one of helpers Jared (a librarian coder himself) created on that day.
A final point of clarification: while regular expressions and SQL were taught in both Toronto and NYPL, we did not get to using them from within Python (i.e., using the re and sqlite modules). They were taught as separate concepts which I believe the audience still found value in.
Lessons Learned
It was great to teach librarians. They were an excellent audience - interested, adventurous and at ease with each other because a good number knew each other already. These qualities led to an interactive environment that is always more fun. So what lessons did we learn? Here are the suggestions I would recommend to anyone teaching software carpentry to librarians:


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R Commander plug-in for repeated-measures and mixed-design ('split-plot') ANOVA. It adds a new menu entry for repeated measures that allows to deal with up to three within-subject factors and optionally with one or several between-subject factors. It also provides supplementary options to oneWayAnova() and multiWayAnova() functions, such as choice of ANOVA type, display of effect sizes and post hoc analysis for multiWayAnova().
| Version: | 0.0.5 |
| Depends: | R (≥ 3.2.0) |
| Imports: | Rcmdr |
| Suggests: | knitr |
| Published: | 2018-03-03 |
| Author: | Arnaud Travert [aut, cre], Jessica Mange [aut] |
| Maintainer: | Arnaud Travert <arnaud.travert at unicaen.fr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | RcmdrPlugin.aRnova results |
| Reference manual: | RcmdrPlugin.aRnova.pdf |
| Vignettes: |
"RcmdrPlugin.aRnova: a Tutorial (in progress...)" |
| Package source: | RcmdrPlugin.aRnova_0.0.5.tar.gz |
| Windows binaries: | r-devel: RcmdrPlugin.aRnova_0.0.5.zip, r-release: RcmdrPlugin.aRnova_0.0.5.zip, r-oldrel: RcmdrPlugin.aRnova_0.0.5.zip |
| OS X binaries: | r-release: RcmdrPlugin.aRnova_0.0.5.tgz, r-oldrel: RcmdrPlugin.aRnova_0.0.5.tgz |
| Old sources: | RcmdrPlugin.aRnova archive |
Please use the canonical form https://CRAN.R-project.org/package=RcmdrPlugin.aRnova to link to this page.


Runs a specified command for each file in a set of files.
For examples of how to use this command, see Examples.
Syntax
for {%%|%}<Variable> in (<Set>) do <Command> [<CommandLineOptions>]
Parameters
Parameter Description
{%%|%}<Variable> Required. Represents a replaceable parameter. Use a single percent sign (%) to carry out the for command at the command prompt. Use double percent signs (%%) to carry out the for command within a batch file. Variables are case sensitive, and they must be represented with an alphabetical value such as %A, %B, or %C.
(<Set>) Required. Specifies one or more files, directories, or text strings, or a range of values on which to run the command. The parentheses are required.
<Command> Required. Specifies the command that you want to carry out on each file, directory, or text string, or on the range of values included in Set.
<CommandLineOptions> Specifies any command-line options that you want to use with the specified command.
/? Displays help at the command prompt.
for /l %i in (1,1,255) do ping -n 1 192.168.0.%i | find /i "Reply"


We are going to use a couple of JSON APIs for this test. The first API is used to get a list of albums. The second API is used to get a list of photos from each album. The json APIs are described below.
API: https://jsonplaceholder.typicode.com/albums
Doing a GET request will give a JSON output as shown below.
[
{
"userId": 1,
"id": 1,
"title": "quidem molestiae enim"
},
{
"userId": 1,
"id": 2,
"title": "sunt qui excepturi placeat culpa"
}
]
You will need to parse the json and have access to title, id and userId. title (album title) and userId are used in the header section as shown in output section.
For each of the albums, you need to make another API call with the id given to albumId parameter in the API as shown.
API: https://jsonplaceholder.typicode.com/photos?albumId=1
Doing a GET request will give a JSON output as shown below.
[
{
"albumId": 1,
"id": 1,
"title": "accusamus beatae ad facilis cum similique qui sunt",
"url": "https://via.placeholder.com/600/92c952",
"thumbnailUrl": "https://via.placeholder.com/150/92c952"
},
{
"albumId": 1,
"id": 2,
"title": "reprehenderit est deserunt velit ipsam",
"url": "https://via.placeholder.com/600/771796",
"thumbnailUrl": "https://via.placeholder.com/150/771796"
}
]
You will need to parse the json and have access to id, title and url. These three are used in the card section as shown in the output below. Image from url is shown as different color boxes. title is shown below image. id is shown below title.
Each row is for an album. The album needs to be lazy loaded as we scroll down.
Each album (row) is a carousel. As we scroll right or left using the buttons, the images need to be lazy loaded.


Registered Number
SC420702
DLC INVESTMENT MANAGEMENT LTD
Dormant Accounts
31 March 2020
Balance Sheet as at 31 March 2020
|
|
2020 |
2019
|
|
|
£ |
£
|
| Called up share capital not paid |
|
100
|
100
|
| Net assets |
|
100
|
100
|
| Issued share capital |
|
100
ordinary
Shares of £
1 each |
|
100 |
100 |
| Total Shareholder funds
|
|
100
|
100
|
STATEMENTS
-
For the year ending 31 March 2020 the company was entitled to exemption under section 480 of the Companies Act 2006 relating to dormant companies.
-
The members have not required the company to obtain an audit in accordance with section 476 of the Companies Act 2006.
-
The directors acknowledge their responsibilities for complying with the requirements of the Act with respect to accounting records and the preparation of accounts.
-
These accounts have been prepared in accordance with the provisions applicable to companies subject to the small companies regime.
Approved by the Board on
31 March 2020
And signed on their behalf by:
Diane Lynne CONWAY, Director


Amorphous computing leverages the collective behavior of locally interacting processing units to produce complex computation and behavior. Each cell interacts only with its immediate neighbors by passing small messages called pings. Cell behavior is programmed by defining how to respond to pings of different types. The cells are programmed identically, but can store local state information to differentiate behavior. Pings originate from cell neighbors or from the user’s mouse events.
This simple Ping program prints hello world
to the browser’s debug console
when a cell is clicked.
@hello_world()
PUTS 'hello world'
A more visual example is this Ping program that turns a cell green when clicked:
@turn_green()
!'color' -> (0, 1, 0)
Ping definitions are marked with the @
symbol. In this example, we define a
new ping called turn_green
with no arguments. Upon receiving this ping, a cell
will set its color
attribute to the RGB tuple (0, 1, 0)
. The amorphous
simulator automatically renders this as the color green. In the simulator, you
can use this ping to change the color of a single cell by clicking on it. If
instead you wish for all cells to automatically turn green on reset, you can use
the special _init
ping.
@_init()
!'color' -> (0, 1, 0)
Data can be associated with a cell or with an individual ping with a
dictionary-like interface. Cell data is referenced with the !
operator; for
example, !'color'
returns the cell’s current color. Ping data is referenced with the
?
operator; for example ?'color'
could be the color a cell is instructed to
change to. Here is an example of setting and accessing cell and ping data:
@propagate_red()
NQUE ._propagate_color((1, 0, 0))
@propagate_green()
NQUE ._propagate_color((0, 1, 0))
@propagate_blue()
NQUE ._propagate_color((0, 0, 1))
@_propagate_color(color)
IF !'color' <> ?'color' \ if not already the color
!'color' -> ?'color' \ change the color
PING .? \ re-broadcast the same ping to neighbors
The NQUE
command pushes (enqueues) a new ping to the current cell’s own queue.
The PING
command pushes the specified ping to all of the cell’s neighbors'
queues. The first three methods can be triggered by the user, but the fourth
method is hidden from the user because it begins with an underscore. It is
advisable to make any methods with arguments hidden. (An unspecified ping
arguments will default to NULL
). Here, the propagate_red
, propagate_green
,
and propagate_blue
methods all simply enqueue a new ping of type
_propagate_color
with different arguments. The hidden method checks if the
cell’s color has already been changed (<>
is the “not equals” operator); if
not, it modifies its color to that specified by the ping (->
is the assignment
operator) and sends copies of the same message to its neighbors. Note that the
last line is a shorthand equivalent to PING ._propagate_color(?'color')
.
Inline comments begin with a backlash.
In the program above, we checked if the color had already been changed before propagating the message further. Consider what would have happened if we excluded this check; since every step would multiply the number of pings in circulation, the total number of pings would grow exponentially. Even after all the cells had changed colors, extraneous pings would continue flying about left and right. Such “ping explosions” are the amorphous computing equivalent of infinite loops.
Example 2 demonstrates the use of local state to support cell differentiation.
@layer_one()
NQUE ._layer((0.154, 0.583, 1.0), 'layer_one', 3)
@layer_two()
NQUE ._layer((1, 0.64, 0.04), 'layer_two', 3)
@_layer(color, layer, radius)
IF ?'radius' >> 0
!'color' -> ?'color'
!'resetcolor' -> ?'color'
!?'layer' -> 'standby'
?'radius' -= 1
PING .?
@pulse()
color -> (RAND, RAND, RAND)
LOOP KEYS WITH key
IF key <= 'layer_'
NQUE ._pulse_color(color, key)
@_pulse_color(color, layer)
IF !?'layer' == 'standby'
!?'layer' -> 'pulsing'
NQUE ._resetcolor(?'layer', 1)
!'color' -> ?'color'
PING .?
@_resetcolor(layer, delay)
IF !?'layer' == 'pulsing'
IF ?'delay' >> 0
?'delay' -= 1
NQUE .?
ELSE
!'color' -> !'resetcolor'
!?'layer' -> 'standby'
Ping can loop over iterables with a supplied temporary variable. The syntax
LOOP <iterable> WITH <variable>
is equivalent to Python’s
for <variable> in <iterable>
. To compactly iterate over a subset of
the iterable, use the syntax LOOP <iterable> WITH <variable> IF <conditional>
(this is similar to Python’s list comprehension).
Iterables objects include tuples like (1, 2, 3)
and the builtins KEYS
and
VALS
which iterate over the cell data keys and values respectively. RAND
returns a random number between 0 and 1.
In addition to explosions, collisions between multiple propagating pings are a
common cause of unsuspected behavior. In Example 3, we use the !'resetcolor'
attribute to ensure the proper color is obtained.
Example 2 demonstrates the ability to measure long-range distances by drawing a Vornoi pattern from cells.
@_init()
!'id' -> RAND
@vertex()
NQUE ._vertex('dist_' + !'id', 0, (RAND, RAND, RAND))
@_vertex(id, dist, color)
IF !?'id' == NULL || !?'id' >= ?'dist'
!?'id' -> ?'dist'
?'dist' += 1
NQUE ._color_if_closest(?'id', ?'color')
PING .?
@_color_if_closest(id, color)
dist -> !?'id'
is_closest -> 1
LOOP KEYS WITH key IF [key <= 'dist' && key <> ?'id']
IF !key <= dist
is_closest -> 0
IF is_closest == 1
!'color' -> ?'color'
Ping code can
PUTS \ prints to the browser console log
PING \ send copies of ping to all neighboring cells
NQUE \ enqueues ping to current cell's queue
IF \ starts an if conditional
ELIF \ starts an else-if conditional
ELSE \ starts an else conditional
LOOP \ used with the WITH keyword for loops
WITH \ used with the LOOP keyword for loops
RAND \ random number between 0 and 1
NULL \ default value associated with all unassigned keys
INFT \ infinity evaluates larger than any other number
KEYS \ list of keys in local cell data
VALS \ list of values in local cell data
&& \ logical and
|| \ logical or
== \ equal (data, not reference)
<> \ not equal
>> \ greater than
<< \ less than
>= \ ints: less than or equal to, strings: ends with
<= \ ints: greater than or equal to, strings: starts with
+ \ ints: addition, strings: concatenation
- \ ints: subtraction, strings: undefined
* \ multiplication
/ \ division
+= \ increase by
-= \ decrease by
*= \ multiply by
/= \ divide by
-> \ assignment (a -> assigns a the value of b)
! \ cell data accessor
? \ ping data accessor
@ \ new ping definition
. \ new ping instantiation
( \ tuple or arg list open
) \ tuple or arg list close
[ \ conditional expression open
] \ conditional expression close
\ \ start of inline comment
INFT