Adds a username to the user config for this org. For convenience this
object is returned.
const org: Org = await Org.create(await Connection.create(await AuthInfo.create('foo@example.com')));
const userAuth: AuthInfo = await AuthInfo.create('bar@example.com');
await org.addUsername(userAuth);
The AuthInfo for the username to add.
Check that this org is a scratch org by asking the dev hub if it knows about it.
Throws SfdxError{ name: 'NotADevHub' } Not a Dev Hub.
Throws SfdxError{ name: 'NoResults' } No results.
The username of the dev hub org.
Clean all data files in the org's data path. Usually
A relative path other than "orgs/".
Should the remove org operations throw an error on failure?
Returns for the config aggregator.
Returns the JSForce connection for the org.
Returns the Org object or null if this org is not affiliated with a Dev Hub (according to the local config).
Returns an org field. Returns undefined if the field is not set or invalid.
Returns a map of requested fields.
Returns the orgId for this org.
Returns the admin username used to create the org.
Initialize async components.
Returns true
if the org is a Dev Hub.
Reads and returns the content of all user auth files for this org as an array.
Refreshes the auth for this org's instance by calling HTTP GET on the baseUrl of the connection object.
Removes the scratch org config file at $HOME/.sfdx/[name].json, any project level org files, all user auth files for the org, matching default config settings, and any matching aliases.
Determines if the call should throw an error or fail silently.
Retrieves the highest api version that is supported by the target server instance. If the apiVersion configured for Sfdx is greater than the one returned in this call an api version mismatch occurs. In the case of the CLI that results in a warning.
Asynchronously constructs and initializes a new instance of a concrete subclass with the provided options
.
An options object providing initialization params to the async constructor.
Provides a way to manage a locally authenticated Org.
See AuthInfo
See Connection
See Aliases
See Config
// Email username const org1: Org = await Org.create({ aliasOrUsername<EMAIL_ADDRESS>});//tslint:disable-line:no-unused-variable // The defaultusername config property const org2: Org = await Org.create({}); // Full Connection const org3: Org = await Org.create({ connection: await Connection.create(await AuthInfo.create({ username: 'username' })) });
See https://developer.salesforce.com/docs/atlas.en-us.sfdx_dev.meta/sfdx_dev/sfdx_dev_cli_usernames_orgs.htm


public class StateMachineManager
A StateMachineManager is responsible for coordination and persistence of multiple interface FlowStateMachine
objects.
Each such object represents an instantiation of a (two-party) flow that has reached a particular point.
An implementation of this class will persist state machines to long term storage so they can survive process restarts and, if run with a single-threaded executor, will ensure no two state machines run concurrently with each other (bad for performance, good for programmer mental health!).
A "state machine" is a class with a single call method. The call method and any others it invokes are rewritten by a bytecode rewriting engine called Quasar, to ensure the code can be suspended and resumed at any point.
The SMM will always invoke the flow fibers on the given interface AffinityExecutor
, regardless of which thread actually
starts them via add.
TODO: Consider the issue of continuation identity more deeply: is it a safe assumption that a serialised continuation is always unique? TODO: Think about how to bring the system to a clean stop so it can be upgraded without any serialised stacks on disk TODO: Timeouts TODO: Surfacing of exceptions via an API and/or management UI TODO: Ability to control checkpointing explicitly, for cases where you know replaying a message can't hurt TODO: Implement stub/skel classes that provide a basic RPC framework on top of this.
| Modifier and Type | Class and Description |
|---|---|
static class |
StateMachineManager.Change |
static class |
StateMachineManager.Companion |
class |
StateMachineManager.FiberScheduler |
static class |
StateMachineManager.FlowSession |
static class |
StateMachineManager.FlowSessionState
class StateMachineManager.FlowSessionState describes the session's state. |
| Modifier and Type | Field and Description |
|---|---|
static StateMachineManager.Companion |
Companion |
| Constructor and Description |
|---|
StateMachineManager(ServiceHubInternal serviceHub,
java.util.List<? extends java.lang.Object> tokenizableServices,
CheckpointStorage checkpointStorage,
AffinityExecutor executor,
org.jetbrains.exposed.sql.Database database,
org.apache.activemq.artemis.utils.ReusableLatch unfinishedFibers)
A StateMachineManager is responsible for coordination and persistence of multiple
interface FlowStateMachine objects.
Each such object represents an instantiation of a (two-party) flow that has reached a particular point. |
| Modifier and Type | Method and Description |
|---|---|
<T> FlowStateMachine<T> |
add(FlowLogic<? extends T> logic)
Kicks off a brand new state machine of the given class.
The state machine will be persisted when it suspends, with automated restart if the StateMachineManager is
restarted with checkpointed state machines in the storage service.
|
<P extends FlowLogic<? extends T>,T> |
findStateMachines(java.lang.Class<P> flowClass)
Returns a list of all state machines executing the given flow logic at the top level (subflows do not count)
|
java.util.List<net.corda.core.flows.FlowLogic> |
getAllStateMachines() |
rx.Observable<net.corda.node.services.statemachine.StateMachineManager.Change> |
getChanges()
An observable that emits triples of the changing flow, the type of change, and a process-specific ID number
which may change across restarts.
|
CheckpointStorage |
getCheckpointStorage() |
org.jetbrains.exposed.sql.Database |
getDatabase() |
AffinityExecutor |
getExecutor() |
StateMachineManager.FiberScheduler |
getScheduler() |
ServiceHubInternal |
getServiceHub() |
void |
start() |
void |
stop(int allowedUnsuspendedFiberCount)
Start the shutdown process, bringing the
class StateMachineManager to a controlled stop. When this method returns,
all Fibers have been suspended and checkpointed, or have completed. |
kotlin.Pair<java.util.List,rx.Observable> |
track()
Atomic get snapshot + subscribe. This is needed so we don't miss updates between subscriptions to changes and
calls to allStateMachines
|
public static StateMachineManager.Companion Companion
public StateMachineManager(ServiceHubInternal serviceHub, java.util.List<? extends java.lang.Object> tokenizableServices, CheckpointStorage checkpointStorage, AffinityExecutor executor, org.jetbrains.exposed.sql.Database database, org.apache.activemq.artemis.utils.ReusableLatch unfinishedFibers)
A StateMachineManager is responsible for coordination and persistence of multiple interface FlowStateMachine
objects.
Each such object represents an instantiation of a (two-party) flow that has reached a particular point.
An implementation of this class will persist state machines to long term storage so they can survive process restarts and, if run with a single-threaded executor, will ensure no two state machines run concurrently with each other (bad for performance, good for programmer mental health!).
A "state machine" is a class with a single call method. The call method and any others it invokes are rewritten by a bytecode rewriting engine called Quasar, to ensure the code can be suspended and resumed at any point.
The SMM will always invoke the flow fibers on the given interface AffinityExecutor
, regardless of which thread actually
starts them via add.
TODO: Consider the issue of continuation identity more deeply: is it a safe assumption that a serialised continuation is always unique? TODO: Think about how to bring the system to a clean stop so it can be upgraded without any serialised stacks on disk TODO: Timeouts TODO: Surfacing of exceptions via an API and/or management UI TODO: Ability to control checkpointing explicitly, for cases where you know replaying a message can't hurt TODO: Implement stub/skel classes that provide a basic RPC framework on top of this.
public StateMachineManager.FiberScheduler getScheduler()
public <P extends FlowLogic<? extends T>,T> java.util.List<kotlin.Pair> findStateMachines(java.lang.Class<P> flowClass)
Returns a list of all state machines executing the given flow logic at the top level (subflows do not count)
public java.util.List<net.corda.core.flows.FlowLogic> getAllStateMachines()
public rx.Observable<net.corda.node.services.statemachine.StateMachineManager.Change> getChanges()
An observable that emits triples of the changing flow, the type of change, and a process-specific ID number which may change across restarts.
We use assignment here so that multiple subscribers share the same wrapped Observable.
public void start()
public void stop(int allowedUnsuspendedFiberCount)
Start the shutdown process, bringing the class StateMachineManager
to a controlled stop. When this method returns,
all Fibers have been suspended and checkpointed, or have completed.
allowedUnsuspendedFiberCount
- Optional parameter is used in some tests.class StateMachineManager
public kotlin.Pair<java.util.List,rx.Observable> track()
Atomic get snapshot + subscribe. This is needed so we don't miss updates between subscriptions to changes and calls to allStateMachines
public <T> FlowStateMachine<T> add(FlowLogic<? extends T> logic)
Kicks off a brand new state machine of the given class. The state machine will be persisted when it suspends, with automated restart if the StateMachineManager is restarted with checkpointed state machines in the storage service.
Note that you must be on the executor thread.
public ServiceHubInternal getServiceHub()
public CheckpointStorage getCheckpointStorage()
public AffinityExecutor getExecutor()
public org.jetbrains.exposed.sql.Database getDatabase()


We will email you further notice especially those who perticipates
our wedding ceremony via Live Stream. So, please submit your name
and email address so we can inform you.


Just want to use it? Choose this. It's the compressed version of the Development script below.
Fully commented, uncompressed release.


MillionDollarArt.Page
Remember The Million Dollar Homepage?
That. But with NFTs. It's 2021 already.
Own a piece of internet history. Again.
Pre-Sale starts very soon.
Good Luck! You'll be notified before Pre-Sale starts.
Get notified to be one of the first.
Each 10x10 lot will go on sale for 0.001 ETH.
And this time you'll actually own your plot of virtual website land,
so you can trade and re-sell your investment.
42% of the proceeds will be donated to BetterPlace.org.


The truth is I never wanted to become a coder, but somehow this is exactly where my ever so winding career path has led me.
I started out as a copy editor after college, editing high school English text book. I was trained to spot that tiny extra space buried deep in thousands of words. Really not that different from debugging.
I then went on to work in an advertising agency as account executive, dealing with clients who expected me to explain everything, no matter how complicated, in three sentences. Speaking of understanding the importance of good user interface.
After that, I got a job as Internet Marketing Manager for a toilet manufacturer. My coworkers are experts on perfecting a powerful flush down the drain, but not what's happening up in the "clouds". I have become who they turn to when it comes to the "internet".
So after working with four different teams of programmers for various websites and mobile apps, I have become so fascinated with the wonders created by the modern-day "bricklayers and craftmakers" of our highly digitalized world that I want to be one of them.


The conversion is carried out by bufferhtml2md, to-markdown and to-markdown-plugin-gfm-laurent22, a Markdown converter written in client JavaScript.


kuRinjcipATTu of kapilar
in Tamil Script, Unicode/utf-8 format
குறிஞ்சிப்பாட்டு (ஆசிரியர் :: கபிலர் )
Etext Preparation : Staff & Students of K.A.P. Viswanatham Higher Secondary School, Tiruchirappalli, Tamilnadu, India
Dr. C. Kesavaraj, BDS, FICD, Trustee, K.A.P. Viswanatham Higher Secondary School (Project Sponsor)
Dr. R. Vasudevan, Former Director, School of Energy, Bharathidasan University, Trichi, Tamilnadu (Tech. support)
Dr. R. Rajendran, Senior Teacher, K.A.P. Viswanatham Higher Secondary School, Trichi, Tamilnadu (coordination)
Text Input : Ms. J. Jayanthi (Librarian); S. Sinnakannan (Typist), Sivadayal, Christopher (Students),
K.A.P. Viswanatham Higher Secondary School, Trichi, Tamilnadu, India
Proof-reading: Ms. Sarala Sandirasegarane, Kanpur, India
Web version: K. Kalyanasundaram, Lausanne, Switzerland
This webpage presents the Etext in Tamil script but in Unicode encoding.
To view the Tamil text correctly you need to set up the following:
i). You need to have Unicode fonts containing Tamil Block (Latha,
Arial Unicode MS, TSCu_Inaimathi, Code2000, UniMylai,...) installed on your computer
and the OS capable of rendering Tamil Scripts (Windows 2000 or Windows XP).
ii)Use a browser that is capable of handling UTF-8 based pages
(Netscape >4.6, Internet Explorer 5) with the Unicode Tamil font
chosen as the default font for the UTF-8 char-set/encoding view. .
In case of difficulties send an email request to kalyan@geocities.com


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--- layout: default tags: about ---
I am a second year graduate student in Computer Science at the UMass Amherst working primarily with Prof. Andrew McCallum and Pedram Rooshenas on the topic of Structured Prediction in NLP. My current research interests span the fields of Natural Language Understanding, Probabilistic Graphical Models and Deep Learning.
Before joining UMass, I worked as a machine learning engineer in the Multimedia Research Group at Snapdeal, Bangalore. Previously, I worked as a software developer at Adobe Systems India. I received my Bachelor's in Computer Science from National Institute of Technology Calicut in July 2012.
During summer 2018, I interned in the Data Science team at Adobe, San Jose.
I am actively looking for full time opportunities in the areas of Natural Language Processing and Machine Learning. You can have a look at my resume here.
|
Data Science Intern Worked on continuous model evaluation, anomaly detection and contribution analysis for Adobe digital experience. |
|
|
Senior Software Engineer Developed machine learning systems for natural language processing and computer vision. |
|
|
Member of Technical Staff II Implemented the server side modules for Adobe Captivate Prime, a newly launched Learning Management System for enterprise. |
|
|
R&D Engineer Implemented MPLS-TP protocol on high capacity ethernet and optical networking switches. |
|
University of Massachusetts Amherst Relevant Coursework: Advanced Machine Learning, Natural Language Processing, Neural Networks, Reinforcement Learning, Information Retrieval |
|
|
National Institute of Technology Calicut Relevant Coursework: Image Processing, Data Structures and Algorithms, Advanced Topics in Algorithms, Computational Intelligence |


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Git¶
There are a number of options for version control, even a good number that are free to use or open source. My choice is always Git, but to each their own. The learning curve may be slightly steeper, but it serves its purpose well.
Learning Git¶
Git is a distributed version control system and though it can take a bit of getting used to, it is extremely powerful for any size project; Git is a commandline tool by itself, but there are third party GUI clients for it, and hosting providers for repositories.
The Pro Git free book if you want a deep dive
Some good quality Atlassian Git Tutorials
A StackOverflow compendium of Git for beginners
A Git tutorial that takes a deeper look at how Git works
A list of some additional Git guides
Git Hosting¶
- GitHub
GitHub is a web-based front-end and hosting platform for Git repositories, and while a free account will not let you create private repositories, its still an amazing tool to know how to use, and I would even go so far as saying its worth a paid account once you start doing more serious programming projects (plus its a good cheap way to host all your code in the cloud so you can always access it).
- GitLab
This is an alternative hosting to the ever-popular GitHub, with the option to download the source-code for free and self-host your git repositories; I’ve not spent too much time with it yet, and still prefer GitHub for the time-being, but it has a lot going for it and continues to grow.
- Bitbucket
With the exception of SourceTree, I am not a big fan of Atlassian products. However, having used the Atlassian stack professionally for some years now, I can say that Bitbucket offers much the same features as other Git hosting and usually integrates well with the rest of the Atlassian products (though Jenkins and Slack hooks can be temperamental). Access control settings can be clunky, but arguably that could be said of the Atlassian stack in general.
GUI Clients¶
While I would always encourage someone to learn how to execute at least the basics in Git from the command line, I find that GUI clients can both speed up routine operations, as well as offer useful information at a glance.
- SourceTree
Possibly the best git GUI for Mac and Windows; they do want you to ‘register’ your copy but its free to do so (just give them a spam email address or something). Unfortunately there is no Linux version of this software, nor do they currently have any plans to make one.
- GitKraken
The newcomer, this one has been gaining quite a bit of popularity, and for good reason. While the software itself has seemed solid so far, there are limitations with the free version (though it does support Linux).
- SmartGit
I have not personally tested it yet, but have heard some very promising anecdotes and like GitKraken does have support for Linux. It was previously free for non-commercial use, but may now be paid-only.
- GitExtensions
If you happen to be struck with the misfortune of using Windows for development, or you want integration with Windows Explorer or Visual Studio, then you should consider looking into this one.
- Linux Git GUIs
Here is one of the available lists of GUIs for Git; while most things I write are designed to run on Unix machines, I usually develop on Mac or Windows (when under duress)
Best Practices¶
- Git Workflow
I would argue that the this article is one of the most articulate and well-formed explanations of a useful git workflow that I have found to date, and I would highly recommend reading through it.
Not every project will need the complexity of having hotfix, release, and stage branches, but the approach described in the article can be easily trimmed down or adapted for almost any scale or type of project.
- Commit Messages
Consistent formatting is important for commit messages. It helps to keep the history clean, and have a consistent log of changes to the source code. This article provides some fantastic guidelines for commit messages to keep your git history tidy and consistent.
- Contributing to a Project
From a workflow standpoint, incorporating your changes when working on a team is generally done via Pull Requests. PR’s are supported in the UI of all major git hosting providers, but are based on the git request-pull mechanism.


In this section, you will construct a Document Object Model by reading in an existing XML file.
Note - In Extensible Stylesheet Language Transformations, you will see how to write out a DOM as an XML file. (You will also see how to convert an existing data file into XML with relative ease.)
The Document Object Model provides APIs that let you create, modify, delete, and rearrange nodes. Before you try to create a DOM, it is helpful to understand how a DOM is structured. This series of examples will make DOM internals visible via a sample program called DOMEcho, which you will find in the directory INSTALL_DIR/jaxp-version/samples/dom after you have installed the JAXP API.
First, build a simple program to read an XML document into a DOM and then write it back out again.
Start with the normal basic logic for an application, and check to make sure that an argument has been supplied on the command line:
public class DOMEcho { static final String outputEncoding = "UTF-8"; private static void usage() { [...] } public static void main(String[] args) throws Exception { String filename = null; for (int i = 0; i < args.length; i++) { if (...) { [...] } else { filename = args[i]; if (i != args.length - 1) { usage(); } } } if (filename == null) { usage(); } } }
This code performs all the basic set up operations. All output for DOMEcho uses UTF-8 encoding. The usage() method that is called if no argument is specified simply tells you what arguments DOMEcho expects, so the code is not shown here. A filename string is also declared, which will be the name of the XML file to be parsed into a DOM by DOMEcho.
In this section, all the classes are individually named so you that can see where each class comes from, in case you want to reference the API documentation. In the sample file, the import statements are made with the shorter form, such as javax.xml.parsers.*.
These are the JAXP APIs used by DOMEcho:
package dom; import javax.xml.parsers.DocumentBuilder; import javax.xml.parsers.DocumentBuilderFactory;
These classes are for the exceptions that can be thrown when the XML document is parsed:
import org.xml.sax.ErrorHandler; import org.xml.sax.SAXException; import org.xml.sax.SAXParseException; import org.xml.sax.helpers.*
These classes read the sample XML file and manage output:
import java.io.File; import java.io.OutputStreamWriter; import java.io.Printwriter;
Finally, import the W3C definitions for a DOM, DOM exceptions, entities and nodes:
import org.w3c.dom.Document; import org.w3c.dom.DocumentType; import org.w3c.dom.Entity; import org.w3c.dom.NamedNodeMap; import org.w3c.dom.Node;
Next, add the error-handling logic. The most important point is that a JAXP-conformant document builder is required to report SAX exceptions when it has trouble parsing an XML document. The DOM parser does not have to actually use a SAX parser internally, but because the SAX standard is already there, it makes sense to use it for reporting errors. As a result, the error-handling code for DOM applications is very similar to that for SAX applications:
private static class MyErrorHandler implements ErrorHandler { private PrintWriter out; MyErrorHandler(PrintWriter out) { this.out = out; } private String getParseExceptionInfo(SAXParseException spe) { String systemId = spe.getSystemId(); if (systemId == null) { systemId = "null"; } String info = "URI=" + systemId + " Line=" + spe.getLineNumber() + ": " + spe.getMessage(); return info; } public void warning(SAXParseException spe) throws SAXException { out.println("Warning: " + getParseExceptionInfo(spe)); } public void error(SAXParseException spe) throws SAXException { String message = "Error: " + getParseExceptionInfo(spe); throw new SAXException(message); } public void fatalError(SAXParseException spe) throws SAXException { String message = "Fatal Error: " + getParseExceptionInfo(spe); throw new SAXException(message); } }
As you can see, the DomEcho class's error handler generates its output using PrintWriter instances.
Next, add the following code to the main() method, to obtain an instance of a factory that can give us a document builder.
public static void main(String[] args) throws Exception { [...] DocumentBuilderFactory dbf = DocumentBuilderFactory.newInstance(); }
Now, add the following code to main() to get an instance of a builder, and use it to parse the specified file.
DocumentBuilderFactory dbf = DocumentBuilderFactory.newInstance(); DocumentBuilder db = dbf.newDocumentBuilder(); Document doc = db.parse(new File(filename));
The file being parsed is provided by the filename variable that was declared at the beginning of the main() method, which is passed to DOMEcho as an argument when the program is run.
By default, the factory returns a non-validating parser that knows nothing about name spaces. To get a validating parser, or one that understands name spaces (or both), you can configure the factory to set either or both of those options using the following code.
public static void main(String[] args) throws Exception { String filename = null; boolean dtdValidate = false; boolean xsdValidate = false; String schemaSource = null; for (int i = 0; i < args.length; i++) { if (args[i].equals("-dtd")) { { dtdValidate = true; } else if (args[i].equals("-xsd")) { xsdValidate = true; } else if (args[i].equals("-xsdss")) { if (i == args.length - 1) { usage(); } xsdValidate = true; schemaSource = args[++i]; } else { filename = args[i]; if (i != args.length - 1) { usage(); } } } if (filename == null) { usage(); } DocumentBuilderFactory dbf = DocumentBuilderFactory.newInstance(); dbf.setNamespaceAware(true); dbf.setValidating(dtdValidate || xsdValidate); [...] DocumentBuilder db = dbf.newDocumentBuilder(); Document doc = db.parse(new File(filename)); }
As you can see, command line arguments are set up so that you can inform DOMEcho to perform validation against either a DTD or an XML Schema, and the factory is configured to be name space aware and to perform whichever type of validation the user specifies.
Note - JAXP-conformant parsers are not required to support all combinations of those options, even though the reference parser does. If you specify an invalid combination of options, the factory generates a ParserConfigurationException when you attempt to obtain a parser instance.
More information about how to use name spaces and validation is provided in Validating with XML Schema, in which the code that is missing from the above extract will be described.
The default response to a validation error, as dictated by the SAX standard, is to do nothing. The JAXP standard requires throwing SAX exceptions, so you use exactly the same error-handling mechanisms as you use for a SAX application. In particular, you use the DocumentBuilder class's setErrorHandler method to supply it with an object that implements the SAX ErrorHandler interface.
Note - DocumentBuilder also has a setEntityResolver method you can use.
The following code configures the document builder to use the error handler defined in Handle Errors.
DocumentBuilder db = dbf.newDocumentBuilder(); OutputStreamWriter errorWriter = new OutputStreamWriter(System.err, outputEncoding); db.setErrorHandler( new MyErrorHandler(new PrintWriter(errorWriter, true))); Document doc = db.parse(new File(filename));
The code you have seen so far has set up the document builder, and configured it to perform validation upon request. Error handling is also in place. However, DOMEcho does not do anything yet. In the next section, you will see how to display the DOM structure and begin to explore it. For example, you will see what entity references and CDATA sections look like in the DOM. And perhaps most importantly, you will see how text nodes (which contain the actual data) reside under element nodes in a DOM.
To create or manipulate a DOM, it helps to have a clear idea of how the nodes in a DOM are structured. This section of the tutorial exposes the internal structure of a DOM, so that you can see what it contains. The DOMEcho example does this by echoing the DOM nodes, and then printing them out onscreen, with the appropriate indentation to make the node hierarchy apparent. The specification of these node types can be found in the DOM Level 2 Core Specification, under the specification for Node. Table 3-1 below is adapted from that specification.
Node |
nodeName |
nodeValue |
Attributes |
|---|---|---|---|
Attr |
Name of attribute |
Value of attribute |
null |
CDATASection |
#cdata-section |
Content of the CDATA section |
null |
Comment |
#comment |
Content of the comment |
null |
Document |
#document |
null |
null |
DocumentFragment |
#documentFragment |
null |
null |
DocumentType |
Document Type name |
null |
null |
Element |
Tag name |
null |
null |
Entity |
Entity name |
null |
null |
EntityReference |
Name of entity referenced |
null |
null |
Notation |
Notation name |
null |
null |
ProcessingInstruction |
Target |
Entire content excluding the target |
null |
Text |
#text |
Content of the text node |
null |
The information in this table is extremely useful; you will need it when working with a DOM, because all these types are intermixed in a DOM tree.
The DOM node element type information is obtained by calling the various methods of the org.w3c.dom.Node class. The node attributes by exposed by DOMEcho are echoed by the following code.
private void printlnCommon(Node n) { out.print(" nodeName=\"" + n.getNodeName() + "\""); String val = n.getNamespaceURI(); if (val != null) { out.print(" uri=\"" + val + "\""); } val = n.getPrefix(); if (val != null) { out.print(" pre=\"" + val + "\""); } val = n.getLocalName(); if (val != null) { out.print(" local=\"" + val + "\""); } val = n.getNodeValue(); if (val != null) { out.print(" nodeValue="); if (val.trim().equals("")) { // Whitespace out.print("[WS]"); } else { out.print("\"" + n.getNodeValue() + "\""); } } out.println(); }
Every DOM node has at least a type, a name, and a value, which might or might not be empty. In the example above, the Node interface's getNamespaceURI(), getPrefix(), getLocalName(), and getNodeValue() methods return and print the echoed node's namespace URI, namespace prefix, local qualified name and value. Note that the trim() method is called on the value returned by getNodeValue() to establish whether the node's value is empty white space and print a message accordingly.
For the full list of Node methods and the different information they return,
see the API documentation for
Node
.
Next, a method is defined to set the indentation for the nodes when they are printed, so that the node hierarchy will be easily visible.
private void outputIndentation() { for (int i = 0; i < indent; i++) { out.print(basicIndent); } }
The basicIndent constant to define the basic unit of indentation used when DOMEcho displays the node tree hierarchy, is defined by adding the following highlighted lines to the DOMEcho constructor class.
public class DOMEcho { static final String outputEncoding = "UTF-8"; private PrintWriter out; private int indent = 0; private final String basicIndent = " "; DOMEcho(PrintWriter out) { this.out = out; }
As was the case with the error handler defined in Handle Errors, the DOMEcho program will create its output as PrintWriter instances.
Lexical information is the information you need to reconstruct the original syntax of an XML document. Preserving lexical information is important in editing applications, where you want to save a document that is an accurate reflection of the original-complete with comments, entity references, and any CDATA sections it may have included at the outset.
Most applications, however, are concerned only with the content of the XML structures. They can afford to ignore comments, and they do not care whether data was coded in a CDATA section or as plain text, or whether it included an entity reference. For such applications, a minimum of lexical information is desirable, because it simplifies the number and kind of DOM nodes that the application must be prepared to examine.
The following DocumentBuilderFactory methods give you control over the lexical information you see in the DOM.
To convert CDATA nodes to Text nodes and append to an adjacent Text node (if any).
To expand entity reference nodes.
To ignore comments.
To ignore whitespace that is not a significant part of element content.
The default values for all these properties is false, which preserves all the lexical information necessary to reconstruct the incoming document in its original form. Setting them to true lets you construct the simplest possible DOM so that the application can focus on the data's semantic content without having to worry about lexical syntax details. Table 3-2 summarizes the effects of the settings.
Table 3-2 Lexical Control Settings
API |
Preserve Lexical Info |
Focus on Content |
|---|---|---|
setCoalescing() |
False |
True |
setExpandEntityReferences() |
False |
True |
setIgnoringComments() |
False |
True |
setIgnoringElementContentWhitespace() |
False |
True |
The implementation of these methods in the main method of the DomEcho example is shown below.
[...] dbf.setIgnoringComments(ignoreComments); dbf.setIgnoringElementContentWhitespace(ignoreWhitespace); dbf.setCoalescing(putCDATAIntoText); dbf.setExpandEntityReferences(!createEntityRefs); [...]
The boolean variables ignoreComments, ignoreWhitespace, putCDATAIntoText, and createEntityRefs are declared at the beginning of the main method code, and they are set by command line arguments when DomEcho is run.
public static void main(String[] args) throws Exception { [...] boolean ignoreWhitespace = false; boolean ignoreComments = false; boolean putCDATAIntoText = false; boolean createEntityRefs = false; for (int i = 0; i < args.length; i++) { if [...] // Validation arguments here } else if (args[i].equals("-ws")) { ignoreWhitespace = true; } else if (args[i].startsWith("-co")) { ignoreComments = true; } else if (args[i].startsWith("-cd")) { putCDATAIntoText = true; } else if (args[i].startsWith("-e")) { createEntityRefs = true; [...] } else { filename = args[i]; // Must be last arg if (i != args.length - 1) { usage(); } } } [...]
The DomEcho application allows you to see the structure of a DOM, and demonstrates what nodes make up the DOM and how they are arranged. Generally, the vast majority of nodes in a DOM tree will be Element and Text nodes.
Note - Text nodes exist under element nodes in a DOM, and data is always stored in text nodes. Perhaps the most common error in DOM processing is to navigate to an element node and expect it to contain the data that is stored in that element. Not so! Even the simplest element node has a text node under it that contains the data.
The code to print out the DOM tree nodes with the appropriate indentation is shown below.
private void echo(Node n) { outputIndentation(); int type = n.getNodeType(); switch (type) { case Node.ATTRIBUTE_NODE: out.print("ATTR:"); printlnCommon(n); break; case Node.CDATA_SECTION_NODE: out.print("CDATA:"); printlnCommon(n); break; case Node.COMMENT_NODE: out.print("COMM:"); printlnCommon(n); break; case Node.DOCUMENT_FRAGMENT_NODE: out.print("DOC_FRAG:"); printlnCommon(n); break; case Node.DOCUMENT_NODE: out.print("DOC:"); printlnCommon(n); break; case Node.DOCUMENT_TYPE_NODE: out.print("DOC_TYPE:"); printlnCommon(n); NamedNodeMap nodeMap = ((DocumentType)n).getEntities(); indent += 2; for (int i = 0; i < nodeMap.getLength(); i++) { Entity entity = (Entity)nodeMap.item(i); echo(entity); } indent -= 2; break; case Node.ELEMENT_NODE: out.print("ELEM:"); printlnCommon(n); NamedNodeMap atts = n.getAttributes(); indent += 2; for (int i = 0; i < atts.getLength(); i++) { Node att = atts.item(i); echo(att); } indent -= 2; break; case Node.ENTITY_NODE: out.print("ENT:"); printlnCommon(n); break; case Node.ENTITY_REFERENCE_NODE: out.print("ENT_REF:"); printlnCommon(n); break; case Node.NOTATION_NODE: out.print("NOTATION:"); printlnCommon(n); break; case Node.PROCESSING_INSTRUCTION_NODE: out.print("PROC_INST:"); printlnCommon(n); break; case Node.TEXT_NODE: out.print("TEXT:"); printlnCommon(n); break; default: out.print("UNSUPPORTED NODE: " + type); printlnCommon(n); break; } indent++; for (Node child = n.getFirstChild(); child != null; child = child.getNextSibling()) { echo(child); } indent--; }
This code first of all uses switch statements to print out the different node types and any possible child nodes, with the appropriate indentation.
Node attributes are not included as children in the DOM hierarchy. They are instead obtained via the Node interface's getAttributes method.
The DocType interface is an extension of w3c.org.dom.Node. It defines the getEntities method, which you use to obtain Entity nodes - the nodes that define entities. Like Attribute nodes, Entity nodes do not appear as children of DOM nodes.
This section takes a quick look at some of the operations you might want to apply to a DOM.
Creating nodes
Traversing nodes
Searching for nodes
Obtaining node content
Creating attributes
Removing and changing nodes
Inserting nodes
You can create different types nodes using the methods of the Document
interface. For example, createElement, createComment, createCDATAsection, createTextNode, and so on. The full
list of methods for creating different nodes is provided in the API documentation for
org.w3c.dom.Document
.
The org.w3c.dom.Node interface defines a number of methods you can use to traverse nodes, including getFirstChild, getLastChild, getNextSibling, getPreviousSibling, and getParentNode. Those operations are sufficient to get from anywhere in the tree to any other location in the tree.
When you are searching for a node with a particular name, there is a bit more to take into account. Although it is tempting to get the first child and inspect it to see whether it is the right one, the search must account for the fact that the first child in the sub-list could be a comment or a processing instruction. If the XML data has not been validated, it could even be a text node containing ignorable whitespace.
In essence, you need to look through the list of child nodes, ignoring the ones that are of no concern and examining the ones you care about. Here is an example of the kind of routine you need to write when searching for nodes in a DOM hierarchy. It is presented here in its entirety (complete with comments) so that you can use it as a template in your applications.
/** * Find the named subnode in a node's sublist. *
Ignores comments and processing instructions. *
Ignores TEXT nodes (likely to exist and contain * ignorable whitespace, if not validating. *
Ignores CDATA nodes and EntityRef nodes. *
Examines element nodes to find one with * the specified name. *
 * @param name the tag name for the element to find * @param node the element node to start searching from * @return the Node found */ public Node findSubNode(String name, Node node) { if (node.getNodeType() != Node.ELEMENT_NODE) { System.err.println( "Error: Search node not of element type"); System.exit(22); } if (! node.hasChildNodes()) return null; NodeList list = node.getChildNodes(); for (int i=0; i < list.getLength(); i++) { Node subnode = list.item(i); if (subnode.getNodeType() == Node.ELEMENT_NODE) { if (subnode.getNodeName().equals(name)) return subnode; } } return null; }
For a deeper explanation of this code, see Increasing the Complexity in When to Use DOM. Note, too, that you can use APIs described in Lexical Controls to modify the kind of DOM the parser constructs. The nice thing about this code, though, is that it will work for almost any DOM.
When you want to get the text that a node contains, you again need to look through the list of child nodes, ignoring entries that are of no concern and accumulating the text you find in TEXT nodes, CDATA nodes, and EntityRef nodes. Here is an example of the kind of routine you can use for that process.
/** * Return the text that a node contains. This routine:
 *
Ignores comments and processing instructions. *
Concatenates TEXT nodes, CDATA nodes, and the results of * recursively processing EntityRef nodes. *
Ignores any element nodes in the sublist. * (Other possible options are to recurse into element * sublists or throw an exception.) *
 * @param node a DOM node * @return a String representing its contents */ public String getText(Node node) { StringBuffer result = new StringBuffer(); if (! node.hasChildNodes()) return ""; NodeList list = node.getChildNodes(); for (int i=0; i < list.getLength(); i++) { Node subnode = list.item(i); if (subnode.getNodeType() == Node.TEXT_NODE) { result.append(subnode.getNodeValue()); } else if (subnode.getNodeType() == Node.CDATA_SECTION_NODE) { result.append(subnode.getNodeValue()); } else if (subnode.getNodeType() == Node.ENTITY_REFERENCE_NODE) { // Recurse into the subtree for text // (and ignore comments) result.append(getText(subnode)); } } return result.toString(); }
For a deeper explanation of this code, see Increasing the Complexity in When to Use DOM. Again, you can simplify this code by using the APIs described in Lexical Controls to modify the kind of DOM the parser constructs. But the nice thing about this code is that it will work for almost any DOM.
The org.w3c.dom.Element interface, which extends Node, defines a setAttribute operation, which adds an attribute to that node. (A better name from the Java platform standpoint would have been addAttribute. The attribute is not a property of the class, and a new object is created.) You can also use the Document's createAttribute operation to create an instance of Attribute and then use the setAttributeNode method to add it.
To remove a node, you use its parent Node's removeChild method. To change it, you can use either the parent node's replaceChild operation or the node's setNodeValue operation.
The important thing to remember when creating new nodes is that when you create an element node, the only data you specify is a name. In effect, that node gives you a hook to hang things on. You hang an item on the hook by adding to its list of child nodes. For example, you might add a text node, a CDATA node, or an attribute node. As you build, keep in mind the structure you have seen in this tutorial. Remember: Each node in the hierarchy is extremely simple, containing only one data element.
To run the DOMEcho sample, follow the steps below.
% cd install-dir/jaxp-1_4_2-release-date/samples.
% javac dom/*
Choose one of the XML files in the data directory and run the DOMEcho program on it. Here, we have chosen to run the program on the file personal-schema.xml.
% java dom/DOMEcho data/personal-schema.xml
The XML file personal-schema.xml contains the personnel files for a small company. When you run the DOMEcho program on it, you should see the following output.

As you can see, DOMEcho prints out all the nodes for the different elements in the document, with the correct indentation to show the node hierarchy.


Exam PA Study Manual
Preface
1
Join the Online Course
2
The exam
3
Prometric Demo
4
Introduction
5
Getting started
5.1
Download the data
5.2
Download ISLR
5.3
New users
6
R programming
6.1
Notebook chunks
6.2
Basic operations
6.3
Lists
6.4
Functions
6.5
Data frames
6.6
Pipes
6.7
The SOA’s code doesn’t use pipes or dplyr, so can I skip learning this?
7
Data manipulation
7.1
Garbage in; garbage out 🗑
7.2
Be a detective 🔎
7.3
A picture is worth a thousand words 📷
7.4
Factor or numeric ❓
7.5
73.6% of statistics are false 😱
7.6
How to save time with dplyr
7.7
Look at the data
7.8
Transform the data
7.9
Exercises
7.10
Answers to exercises
8
Visualization
8.1
Create a plot object (ggplot)
8.2
Add a plot
8.3
Data manipulation chaining
9
Introduction to modeling
9.1
Modeling vocabulary
9.2
Modeling notation
9.3
Ordinary Least Squares (OLS)
9.4
Regression vs. classification
9.5
Regression metrics
9.6
Example
9.6.1
Assumptions of OLS
9.6.2
Assumptions of GLMs
9.7
Advantages and disadvantages
9.8
GLMs for regression
9.9
Interpretation of coefficients
9.9.1
Identity link
9.9.2
Log link
9.10
Other links
9.11
Binary target
9.12
Count target
9.13
Link functions
9.14
Interpretation of coefficients
9.14.1
Logit
9.14.2
Probit, Cauchit, Cloglog
9.15
Example
9.16
Area Under the ROC Curve (AUC)
9.17
Additional reading
9.18
Residuals
9.18.1
Raw residuals
9.18.2
Deviance residuals
9.19
Example
9.20
Log transforms of continuous predictors
9.21
Reference levels
9.22
Interactions
9.23
Offsets
9.24
Tweedie regression
9.25
Combinations of Link Functions and Target Distributions
9.25.1
Gaussian Response with Log Link
9.25.2
Gaussian Response with Inverse Link
9.25.3
Gaussian Response with Identity Link
9.25.4
Gaussian Response with Log Link and Negative Values
9.25.5
Gamma Response with Log Link
9.25.6
Gamma with Inverse Link
9.26
Stepwise subset selection
9.27
Penalized Linear Models
9.28
Ridge Regression
9.29
Lasso
9.30
Elastic Net
9.31
Advantages and disadvantages
9.32
Example: Ridge Regression
9.33
Example: The Lasso
9.34
References
10
Tree-based models
10.1
Decision Trees
10.1.1
Advantages and disadvantages
10.2
Ensemble learning
10.2.1
Bagging
10.2.2
Boosting
10.3
Random Forests
10.3.1
Example
10.3.2
Variable Importance
10.3.3
Partial dependence
10.3.4
Advantages and disadvantages
10.4
Gradient Boosted Trees
10.4.1
AdaBoost
10.4.2
Gradient Boosting
10.4.3
Notation
10.4.4
Parameters
10.4.5
Example
10.4.6
Advantages and disadvantages
10.5
Exercises
10.5.1
1. RF with
randomForest
10.5.2
2. RF tuning with
caret
10.5.3
3. Tuning a GBM with
caret
11
Unsupervised Learning
11.1
Principal Component Analysis (PCA)
11.1.1
Example: PCA on US Arrests
11.1.2
Example: PCA on Cancel Cells
11.2
Clustering
11.2.1
K-Means Clustering
11.3
Hierarchical Clustering
11.3.1
Example: Clustering Cancel Cells
11.3.2
References
12
References
Published with bookdown
Predictive Analytics for Actuaries
1
Join the Online Course


Data Mapping Functions
Audience
This section should be useful to new users as well as experienced developers. Here, we explain how and why we use functions for building data mapping recipes. If you are planning to do so, this section is essential reading.
Input -> Function -> Output
A function represents a mapping between one set of values and another. Consider a basic example in which the function N(i) maps an input number to text form.
In this example, as will often be the case, the type of input is different than that of the output. The input could be a long, and the output type a String, for example. This example also shows data flowing through the function. This is a common representation in flow-based programming.
Value Semantics
If we consider the words above to be the names of users in a population, it is easy to see how we could think of function N as simply enumerating their names. In this case, the word values are semantically properties -- the names of some arbitrary members of a population. We say that it is arbitrary in this case simply because a property does not uniquely identify a member of a population. We are not yet speaking about identity semantics. So far we have chosen only to assign the meaning of property to the output values.
If we take it a step further and say that the words are unique identifiers for users, then we can say that we are indeed identifying specific instances of a population. This would be the case, for example, if you had a system in which each unique number name represented a unique user. The most important point here is that it is up to you how uniqueness in your particular system is represented and thus how you should model it. So long as the data mapping functions mirror the identity and property semantics of your application, the results will make sense.
Both properties and instances are important in a dataset. How do we have both together in a way that is meaningful? How do we make it so that we can deal with instances of things as well as the properties so that we actually get stable properties for specific instances?
For this, we need to combine functions. To model the relationship between the identity of an instance at one level and one of its associated properties, we simply mirror the relationship in terms of functions. We combine functions. In formal terms, we create a composed function.
As a starting point, we must have a basic model of how the identities and properties relate to each other:
For the first time, we see a graph structure that represents the association between instances and properties of those instances in a data set. It is not unlike an entity-relationship diagram. We will call this type of diagram an entity-property graph.
Although basic, we see three values and how they are related. first_name depends on user_id, as does last_name. This is the same as saying that you must have the value for user_id before you can calculate the values for first and last name. It also shows why we draw the lines in this direction when modeling data flow.
It illustrates cardinal relationships but does not describe how the data corresponds from one value to another. For this, we need to fill in the blanks. First, let's talk about where everything begins in our data flow.
Input Coordinates
When mapping data via functions we have to have an original input value. For the sake of simplicity, we will stick to whole numbers in sequence. Knowing that our original input data is simply the counting numbers allows us to do interesting things later with cardinality. For now, the most important thing to remember is that we have a primary input that we call the coordinate -- an integer from a sequence.
Composition and Dataflow
Assume that you have two functions:
one that maps numbers to user ids:
and another that maps user ids to first names:
If you combine them together in data-flow form, the results looks like this:
The value of user id is the output of U and the input of F in this configuration. If we compose these functions U(i) and F(i) together, they become a single function that maps a number to an instance to a first name. Somewhat formally, we would call this F(U(i)). In other words, we would apply F to the result of applying U to the original input. This wording can get out of hand for larger compositions, so we will emphasize flow-based descriptions moving forward.
Function Graphs
Given an entity-property graph, we can build a new kind of picture with more detail: the function graph. You can think of the function graph as a symbolic encoding of the value relationships in a data set. We simply add the coordinate input value at the front, and then drop in a place-holder for each required mapping function:
This function graph is merely a template. The functions U, F, and L are still symbolic. We haven't picked anything concrete to put in their places. However, we can see the function semantics and signatures that must be fulfilled.
The key insight here is that each complete path of this graph represents a composed function that can render self-consistent data. This is the basic building block for modeling virtual datasets with interesting data relationships.
Type Signatures
No matter what type system is used, the input and output types determine what kind of functions may be plugged in. This is called the signature* of the function. In terms of data flow between pure functions, we are really only concerned about the types of inputs and outputs. Our examples above glossed over data types at the concrete level.
There are concrete data types at every stage of function composition. It is also true that more than one data type can fulfill the need for a counting number, etc. At some point we have to start being particular about the data types needed in our data set. Here, we remove the explanatory "identity and property" markers, and go to concrete data types and labels:
Even though the function graph above is not realizable yet, it is useful as is. Function graphs of this type can be referred to as function graph template.
From this function graph template, we have two distinct paths -- two different composed functions to be created. If we traverse each path from the coordinate, we see two composed function templates. They are, in pseudo-code form, long->U->long->F->String, and long->U->long->L->String.
Data Mapping vs Data Generation
Virtual dataset emphasizes the idea of "data mapping" over "data generation", but allows for users to break these rules when necessary. Data mapping implies that pure functions are being used. Data generation implies that deterministic output is not expected. The choice between these is simply a matter of whether you use mutable state in your mapping.
Mutable State?
A functions that depends on mutable state in addition to the input value will not yield the same result for a given input. Such functions may produce the same sequence of outputs given the same sequence of inputs, but this is not sufficient for simulating sampling from a population with stable properties.
Immutable State?
A mapping function that does not depend on changing state is effectively a pure function. This includes functions that depend on data, as long as that data itself doesn't change.
Parameters to a function that can initialize it are simply another form of immutable state -- so long as these parameters do not change for the life of the function.
Choosing Mapping Functions
The function placeholders in the examples above can be satisfied by any function instance that fits the type signatures. Further, how these functions are realized at runtime are left to the individual data mapping libraries. Each library supports a set of loadable functions that can be asked for by name. The details of this are left for later in the usage section.


Typescript files generally have the .ts extension. However, some files have the .d.ts one, which means they contain type definitions (no implementations). This is particularly usefull when an existing javascript library/framework wants to be available for typecript projects without the need to rewrite the library in typescript.
In such a case, the compiler has to know where are these definition files:
///path/to/file.d.ts
In order to make this process industrializable, you can use tools such as tsd or typings with DefinitelyTyped


--- layout: default ---
Encryption, digital money, anonymous networks, digital pseudonyms, zero knowledge, reputations, information markets, black markets, collapse of governments.
Maybe in the future, this site will have full wiki functionality.
For now, contributors can submit pull requests to the following repository:
There are instructions on this page, so even the non-technical can contribute.
' %} {% include index_section.html title='Cypherpunks Mailing List' collection_name='mailing_list' %} {% include index_section.html title='Sources' collection_name='sources' %} {% include index_section.html title='People & Organisations' collection_name='people_and_organisations' %} {% include index_section.html title='Events' collection_name='events' %} {% include index_section.html title='Key Concepts' collection_name='key_concepts' %} {% include index_section.html title='Notable Projects' collection_name='notable_projects' %}


1. Simply decide on if you are coming alone or with a business partner/spouse or vacationing spouse.
2. Decide if you want a room all to yourself (upgrade).
3. Send an email to<EMAIL_ADDRESS>specifying the session you want and the details of who is coming.
4. Your 50% deposit saves your space! The balance is due no later than 45 days prior to the first day of your
session.
5. Payment: A PayPal invoice will be sent to you OR send a check to David Hira Productions, P.O. Box 58954,
Houston, Texas 77258 once you receive confirmation that there is space for you.
6. See our cancellation policy at the bottom of the page.
WHAT IS INCLUDED
Once you land at SJO airport in San Jose, Costa Rica, (you are responsible for your airfare) you won't need to
spend another dime! We'll pick you up/drop you off at and resort. All meals, snacks and beverages are included
(one wine/beer at each dinner) as well as your double bed in a shared room at the resort. We include all
excursions (including transportation and admission charges) and even some goodies along the way.
Cancellations/Refunds
Your deposit is fully refundable up to 30 days prior to the arrival date.
After that? Sorry, no refunds. However, should you have a true family emergency (death of immediate family,
etc.) we will do what we can to reschedule you and apply your deposit accordingly.


Versions in the Nostra Project follow the same structure:
[major].[minor].[patch].[tweak]
Each of these parts have an integer values that is larger than or equal to zero. The first two parts of the version (major and minor) are called the main part. The parts patch and tweak do not have special names. Also the different parts have different weights, major has the most weight, minor the second most weight, patch the third most weight and tweak has the least weight.
Example:
<IP_ADDRESS>
Example:
<IP_ADDRESS>
vs. <IP_ADDRESS>
<IP_ADDRESS>
vs. <IP_ADDRESS>
<IP_ADDRESS>
, the version will always be <IP_ADDRESS> afterwards). Also, only one part can be incremented per
update.
In addition to that, when a part is incremented, all parts that have a lower weight than the part that was
incremented, will be reset to zero.
Example:
Incrementing the minor part of the version <IP_ADDRESS>
would result in the version
<IP_ADDRESS>
.
Not everything can change from version to version. The following chapters describe what features can change from version to version.
Note that, every version may also make changes that are only listed in the chapters of the version that have lower weights.
The following table describes what can be changed in what version.
| Feature | major | minor | patch | tweak |
|---|---|---|---|---|
| Add features | ✓ | ✓ | ||
| Remove features | ✓ | |||
| Modify features | ✓ | ✓ * | ||
| Deprecate features | ✓ | ✓ | ||
| Implement bug fixes | ✓ | ✓ | ✓ | ✓ |
| Implement improvements | ✓ | ✓ | ✓ | ✓ |
* When keeping backwards compatibility
<IP_ADDRESS>
.
\since
and
\version
respectively.
Note that the last-modified version (the \version
one) needs to be updated in a cascading
manor. This means, that if a piece of code is updated, not only its own last-modified version needs to be
updated and all of the last-modified versions of the code pieces and the file that it is nested in needs to
be updated as well.
Example:
If a member function called test_member()
is a member of the class
test_type
in the namespace ntp
in the file test_type.hpp
is
updated, the last-modified versions of the member function itself, the class, the namespace and the
file need to be updated.
\since
) never changes after it was set for the fist time.
The NostraBase library adds support for versions in code.
The library provides the macros NBA_MAKE_VERSION
and NBA_GET_VERSION_*
(* stands for
MAJOR
, MINOR
, PATCH
or TWEAK
). The macro
NBA_MAKE_VERSION
can be used to create a version from four integer numbers representing the single
parts of the version. NBA_GET_VERSION_*
can be used to get the respective part from a version that
was created using NBA_MAKE_VERSION
.
Versions that were created by NBA_MAKE_VERSION
can be compared using the regular comparison
operators (!=
, ==
, >
, <
, etc.).
When the C++ features are enabled, NostraBase also provides the class nba::Version
. Similar
to the NBA_MAKE_VERSION
macro, the constructor of nba::Version
takes four integer
numbers that represent the single parts of the version. It also provides getters/setters for the parts and
suitable operators for comparison.


Guidance
Guidance on how to provide supported internships for young people with special educational needs and an EHC plan.
Ref: DFE-00430-2014 PDF , 1.29MB , 63 pages
This is guidance about creating study programmes for young people with:
It applies to:
It also includes information about applying for Access to Work funding .
Published: 18 October 2013
Updated: 26 June 2015


{extends file=$conf->root_path|cat:"/templates/user.html"} {block name=content}
${$product->price*0.7}
${$product->price*1}
${$product->price*1.3}
Sum: ${$sum}


When features on maps do not have a regular shape, we cannot simply use the A = L × W formula to determine the area they cover. Instead, we use a grid of equal-area blocks to cover the feature and estimate the area instead. Click on the animation to watch a demonstration of how this process works.


{% extends "docframe.html" %} {% block body %}
The libpathod.test module is a light, flexible testing layer for HTTP clients. It works by firing up a Pathod instance in a separate thread, letting you use Pathod's full abilities to generate responses, and then query Pathod's internal logs to establish what happened. All the mechanics of startup, shutdown, finding free ports and so forth are taken care of for you.
The canonical docs can be accessed using pydoc:
pydoc libpathod.test
The remainder of this page demonstrates some common interaction patterns using nose. These examples are also applicable with only minor modification to most commonly used Python testing engines.


{% include head.html %}
{% include navigation.html %}
{{ content }}
Tweets by nordic_rse
{% include footer.html %}
{% include js.html %}


This is the first form (uses emulatePlaceholder)
First label
Second label
This is the second form (do not uses emulatePlaceholder)
Some other label #2
Some other label #2


Landing Page
Special Projects
This story is part of a series of specially designed stories that represents some of the best journalism The Post has to offer. Check out the rest of the special projects here.
Rilee Lockhart
1/23/2019
When Nelsonville Police Chief Chris Johnson, found 13 needles on someone he was arresting in December, the suspect admitted what she was using them for.
The woman, who Johnson said he was arresting on a warrant, said she used the needles for meth.
It wasn’t a surprise for Johnson, who formerly worked at the Ohio University Police Department and moved to Nelsonville a few years ago — he’s seen a steady rise in the use of methamphetamines since he’s been the head of the small department.
“Heroin use has been going down for some time now ... and that void has typically been filled by methamphetamine,” Johnson said.
As the state has slowly recovered from a crippling opioid epidemic, methamphetamine and other stimulants have made a dramatic comeback across the state.
For Johnson, the head of a small department that polices a city of 5,000 residents, resources are already stretched thin. With limited jail space and limited time to make convictions, Johnson says his department often faces decisions over whom to incarcerate and whom to charge and let back onto the streets.
“Meth is becoming way more prevalent than it has been,” Johnson said.
Johnson’s department is far from the only one in Ohio that has dealt with the return of the drugs: The Ohio State Highway Patrol has seen an increase in seizures around the state.
Lieutenant Robert Sellers of the Ohio State Highway Patrol provided the dramatic numbers related to the patrol’s methamphetamine seizures.
The agency’s 2018 methamphetamine numbers were more than the last several years combined. Patrol officers seized 454 pounds of the substance in 2018, according to data provided by the patrol.
By comparison, the department seized just over 144 pounds in 2017 and a combined 136 pounds in 2013 through 2016.
The increase in methamphetamine-related crimes has had deadly consequences.
From 2010 to 2017, deaths related to psychostimulants increased more than 5,000 percent, according to a report from the Ohio Alliance for Innovation in Population Health.
More than 70 percent of those deaths coincided with the presence of another drug — the powerful opioid, fentanyl.
Orman Hall, an expert on substance abuse who authored the report for the Ohio Alliance for Innovation in Population Health, said he was a bit surprised by the sheer level of increase the state had experienced. The increase was probably related to the opioid epidemic that has claimed the lives of thousands of Ohioans in previous years, he said.
“We have some people that are primarily dependent on opioids that are no longer getting a euphoric experience from the opioids that are intentionally using psychostimulants and cocaine,” Hall said.
Hall emphasized, however, that there isn’t one cut-and-dried answer for the return of stimulants. A wide variety of causes could be blamed.
One hypothesis that Hall put forward is an increased use of psychostimulants in medicine.
“During the period between 2012 and 2017, we saw about a 30 percent decline in opioids dispensed,” Hall said. “We've seen about that same level of increase in psychostimulants.”
Hall noted that psychostimulants have legitimate medical benefits when properly prescribed.
To Sellers, the increase in and lacing of methamphetamines with fentanyl is directly correlated to organized crime. He said the cartels have been mixing extremely addictive opioids like fentanyl with drugs like cocaine and methamphetamines to make people dependent on them.
“Drug cartels operate just like any other business,” Sellers said. “Once they establish a market, they'll start pushing in their other products. The spike in meth, there's a direct correlation between that and all the heroin that's been pushed into Ohio.”
According to an Ohio Department of Health report on overdoses in 2017, heroin and prescription opioids are on the decline while stimulants, along with fentanyl and carfentanil, another powerful opioid, are on the rise.
For some, the shift away from pills and heroin toward stimulants and fentanyl is indicative of a shift in Ohio’s drug epidemic.
While Ohio is still struggling with opioids, the rise of stimulants might be a part of the next phase of drug addiction in the state.
Andrea Boxill, who was deputy director of the Governor’s Cabinet Opiate Action Team for former Ohio Governor John Kasich, said Ohio’s drug epidemic isn’t a problem with one particular drug, but with the disease of addiction as a whole.
“The resurgence of meth is related to the drug epidemics that we’ve had, not just on the past six to eleven years around opioids, but the epidemic that we’ve had since we started abusing drugs illicitly,” Boxill said. “This is like the next phase.”
“Addiction should be looked at as a whole. We tell our patients, in the first twelve months you have to be careful. Shopping, gambling, eating, those are all addictions. If we don't take care of addiction as a whole, you're going to divert addiction to something else.”Burt Dhira
The disease of addiction, Boxill said, has remained steady throughout cycles of drugs. From the crack epidemic to the first epidemic of meth, Boxill said addiction is at the core of the problem.
“There’s always been a desire to feel better,” Boxill said. “It doesn’t matter the drug. It’s what (is) at the root, which for many people is a lack of hope.”
Burt Dhira, who heads the Ohio Addiction Treatment Council and operates a recovery center in Columbus, said addiction manifests in many forms.
“We really have to work on the whole person’s recovery,” Dhira said. “Addiction should be looked at as a whole. We tell our patients, in the first twelve months you have to be careful. Shopping, gambling, eating, those are all addictions. If we don't take care of addiction as a whole, you're going to divert addiction to something else.”
Dhira added that he has seen a huge uptick in methamphetamine users at his clinic in the last year or so.
Addiction treatment centers are also seeing increases in methamphetamine and psychostimulant use locally. Ellen Martin, the CEO of Health Recovery Services in Athens, said her organization has been dealing with an increased number of people addicted to stimulants.
Hall noted that the drug at the epicenter of addiction has changed over the years. He said that heroin first became prevalent in veterans after the Vietnam War.
The rise of methamphetamines might not be completely uniform. Hall noted that there tends to be a higher use of methamphetamines in rural areas. Urban areas, on the other hand, tend to use other stimulants, like cocaine.
Cocaine had a more than 600 percent increase from 2010 to 2017, according to Hall’s research, and has been mixed with fentanyl and carfentanil as well.
When Boxill was assigned to the opiate task force, Ohio wasn’t ready for an addiction epidemic.
Ohioans were dying of opioid overdose at record rates. As more Ohioans switched from dangerous prescription opiates to deadly illegal drugs such as heroin, the state scrambled to find a solution.
“The first thing we had to do was to stop the bleeding,” Boxill said.
Stopping the bleeding meant equipping law enforcement with the overdose-stopping drug Narcan. After Narcan began to save lives, the task force used the breathing room to come up with a plan.
Increased access to treatment, prevention measures and public awareness were all parts of the task force’s process to address addiction. Boxill said that an increasing public awareness of addiction as a disease helped to slow the epidemic.
“You don’t want to criminalize a disease. You wouldn’t criminalize diabetes. You wouldn’t criminalize cancer.”Andrea Boxill
“You don’t want to criminalize a disease,” Boxill said. “You wouldn’t criminalize diabetes. You wouldn’t criminalize cancer.”
The opioid epidemic forced a mass collaboration to address it, Boxill said, and the same must be done for the rising use of stimulants.
“In order to address any epidemic we had to come up with a template of what needed to be put in place,” Boxill said. “Whether it’s methamphetamine or heroin or fentanyl, we have a pretty proven formula of what needs to happen.”
Hall said efforts to combat the opioid epidemic will help the state deal with future changes in drug use across the state.
“There has been a significant increase in availability of treatment in our state largely due to the opioid epidemic,” Hall said.
The road ahead won’t be easy, Boxill said. She said the road to understanding addiction as a disease rather than a choice has been a long one.
“It took us a good 70 years to get to the point of accepting, and we still haven’t done it fully, that the disease of addiction is just that: a disease,” Boxill said.
She estimated that 60 percent of the population believes that addiction is a disease, but she fears that a rise in stimulants could undo some of that work.
“I don't think any drug is safe. If you're doing drugs you're getting a lot of cross-contamination. I have a lot of patients come in doing certain drugs and I see other stuff that is in their drug confirmation. They'll be blown away by what we find.”Burt Dhira
The crimes associated with methamphetamine are more brazen than most crimes associated with opioids, Boxill said. Additionally, people who are high on stimulants can be more aggressive than those on opioids.
“It’s all a disease, but people will change their perception based upon how the media portrays it and the types of crimes that are being committed as a result of the use,” Boxill said.
Dhira said he fears that drugs laced with fentanyl will continue to be lethal for those who use them.
“I don't think any drug is safe,” Dhira said. “If you're doing drugs you're getting a lot of cross-contamination. I have a lot of patients come in doing certain drugs and I see other stuff that is in their drug confirmation. They'll be blown away by what we find.”
The opioid epidemic left behind a legacy of progress in the field of drug addiction, Boxill said, and that same progress needs to be continued with the new wave of stimulants.
Sellers encouraged users to not just get help, but also be aware of what they’re using.
 “And if you need help, there's plenty of resources out there.”
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How to play audio from your Fire TV on your Amazon Echo.... wirelessly
We explain step by step how to link a Fire TV with an Amazon Echo so you get better quality sound when watching videos and listening to music.
by Jim MartinIt's been possible to control your Fire TV using Alexa on an Amazon Echo for a while, but now a new feature called Alexa Home Theatre allows you to hear audio from your Fire TV through your Echo's speakers.
And if you have an Echo Studio, that's quite a big deal as it means you'll hear spatial Dolby Atmos sound for videos which have an Atmos soundtrack. You can also get Dolby audio if you have a second- or third-generation Echo or Echo Plus.
First off, then, check if both your Echo and Fire TV are compatible with Alexa Home Theatre:
Compatible Fire TV Devices
- Fire TV Stick 4K
- Fire TV (3rd Generation)
- Fire TV Cube (1st Generation) – available in the US only
- Fire TV Cube (2nd Generation)
Compatible Echo Devices
- Echo Dot (3rd Generation)
- Echo (2nd Generation)
- Echo (3rd Generation)
- Echo Plus (2nd Generation)
- Echo Plus (1st Generation)
- Echo Dot with clock
- Echo Studio
How to set up Alexa Home Theatre
Make sure both the Fire TV and Echo are connected to the same Wi-Fi network and logged into the same Amazon account.
Then, in the Alexa app on your phone, tap on the Devices icon in the bottom right corner and then tap the “+” icon at the top.
Tap “Set Up Audio System” (1) and then tap “Home Cinema” (2) on the next screen.
On the next screen, choose your Fire TV (3) and then tap "Next” at the top.
Pick which speaker your Fire TV should connect with (4). Here, you can pick speaker groups already set up, such as the Lounge group shown below. Or you can pick a single Echo or a pair of supported devices. If you have an Echo sub, that will be included in a speaker group already, but having one means you can have up to a 2.1 setup for your Fire TV sound system.
Tap "Next" then choose a name your new Alexa Home Theatre system. Finally, add your system to a group - if you have groups set up. Here, we've added it to our Lounge group consisting of an Echo Studio and Echo Sub, as that's where the TV, Fire TV Cube and Echo Studio live.
On your Fire TV, you should see a message like this, confirming the system is set up, but of course you'll know if it's working ok if the sound comes out of your Amazon Echo or not.
Note that if you already had a Fire TV Cube set up to control a sound bar, you'll also see a warning to say that its volume buttons will now control the volume level on your Echo, not your sound bar.
One last thing: if you want to know what type of audio you're getting, start a video playing in a player such as Amazon Prime Video and press your Fire TV remote's centre button. Select settings and then Audio. Click on Audio output, and choose the appropriate audio soundtrack. If Dolby Atmos is available and you have set up Alexa Home Theatre with an Echo Studio, you'll see Dolby Atmos in the list.


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Deuteronomy 5:5
(I stood between the LORD and you at that time, to show you the word of the LORD: for ye were afraid by reason of the fire, and went not up into the mount;) saying,


CS 103
Automata Designer
DFAs + NFAs + TURING MACHINES
I'm designing for
I'm doing my own thing.
DFA
NFA
TM
Go
I'm loading something I've saved.


{{define "scripts"}} {{end}} {{define "title"}} Admin Settings {{end}} {{define "content"}}
| Enabled | Disabled | |
|---|---|---|
| Task Dispatching | ||
| Host Initialization | ||
| Monitoring | ||
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| Alerts | ||
| Task Runner | ||
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public interface BootloaderScanner
The DFU Bootloader may advertise with the same address as an application (in case of the buttonless update) or one incremented by 1 (in case of jumping to the DFU mode with a button, or after flashing the new Soft Device (flashing new SD removes the old application)).
The DFU service always connects to the address given as a parameter. However, when flashing SD+BL+App it will first send the SD+BL as part one followed by the App in the second connection. As the service does not know which address was used in the first connection (normal, when buttonless update, or +1 when with-button update) we have to scan for the advertising device after SD+BL part is completed.
| Modifier and Type | Field and Description |
|---|---|
static int |
ADDRESS_DIFF
The bootloader may advertise with the same address or one with the last byte incremented by this value.
|
static long |
TIMEOUT
After the buttonless jump from the application mode to the bootloader mode the service will wait this long for the advertising bootloader (in milliseconds).
|
| Modifier and Type | Method and Description |
|---|---|
java.lang.String |
searchFor(java.lang.String deviceAddress)
Searches for the advertising bootloader.
|
static final long TIMEOUT
static final int ADDRESS_DIFF
java.lang.String searchFor(java.lang.String deviceAddress)
deviceAddress
- the application device address


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/Learning.20proof.20systems.html ---
What would be a good first proof checker to fully read through and understand?
It would be helpful if you also posted your background, experience, and motivation for this
I need to build my own proof system for my project (https://general-ai-group.com) and I would like to get to know some good system entirely. The system should have a strong axiomatic framework, good syntax, and a short implementation using primitive concepts that employs good algorithms, though the performance does not need to be hardware optimized.
I doubt there are any such systems
Metamath is the obvious choice here. HOL Light is also pretty clean and can be read in an afternoon
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


{% load static %}
{% block title %}{% endblock %} | COPO
{% block stylesheet_block %}{% endblock %} {% block js_block %}{% endblock %}
{% block content %}If you see this there is something wrong with the templates - you probably didn't overwrite the content block{% endblock %}


Chelsea to move for CSKA Moscow striker in January if transfer ban is lifted
Chelsea are tracking CSKA Moscow striker Fedor Chalov and are preparing a January bid if their transfer ban is lifted in December.
The Blues will find out in the middle of next month if their appeal to UEFA is successful and they will be able to sign players again in January.
If so, then they are likely to make a move for the Russia international, reports Sky Sports.
21-year-old Chalov scored 15 league goals for CSKA last season and has netted five times in 16 matches this campaign.
He has picked up two caps for Russia, but has most recently been playing for the Under-21 side, scoring against Serbia last Tuesday.
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Crystal Palace have been interested in Chalov in recent months and made bids for him over the summer, offering £23m on deadline day, but it was turned down.
Chelsea would have to better that offer if they want to snap up the young striker in January, or in the summer, but CSKA are reportedly preparing for his exit over the winter.
Manchester United, Liverpool and Arsenal have all also been linked with the Russian, but their interest appears to have cooled, with Chelsea now leading the race for his signature.
However, any move will rest on the decision of their UEFA appeal, which is in the hands of the Court of Arbitration for Sport.
On Chelsea’s transfer ban, manager Frank Lampard said: ‘Well, I’ll be very interested of course but it is a legal matter and I don’t know enough of the legals to even delve. But of course I’m interested because it’s obviously going to affect potentially what we can do in January or not.
‘I think as Chelsea we will always look to improve in windows if we can, if we’re allowed to and if the players we might look at are better or we feel are worth adding to the squad.
‘But, at the minute, I’m very happy with what I’ve got so I suppose that’s why, hopefully, fans are as well.’


From: Mr. Dezaryi #67 Cresent Close, Lynnwood Road Hatfield Pretoria Gauteng, South Africa. {INTERNATIONAL HERITAGE TRANSACTION} {One Hundred & Seventy Two Million Six Hundred And Fifty Four Thousand United State Dollars} {(RE: TRANSFER OF ($172,654,000.00 USD} {BUSINESS OPPORTUNITY/YOUR ASSISTANCE IS NEEDED} Dear Sir/Madam!! I sincerely ask for forgiveness for I know this may seem like a complete intrusion to your privacy but right about now this is my option of communication. This mail might come to you as a surprise and the temptation to ignore it as unserious could come into your mind; but please consider it a divine wish and accept it with a deep sense of humility. I am aware that this is certainly an unconventional approach to starting a relationship. I am Mr. Dezaryi, the personal account officer to the great late diseased who has an account in one of the top banks here in South Africa. The account was opened in 2001 and he died in 2004 without a written or oral WILL and since 2004 nobody has operated on this account again hence the money is floating and if I do not remit this money out urgently it will be forfeited for nothing and Govt. of South Africa will confiscate the funds for their personal use which I personally don't want such incident to happen being that this is a great opportunity for me. My contact is for you to please assist me to transfer the fund ($172,654,000.00 USD) One Hundred & Seventy Two Million Six Hundred And Fifty Four Thousand United State Dollars from a Cooperate Bank here in South Africa to an oversea account. First, I must solicit your strictest confidence in this transaction. This is by virtue of its nature as being utterly confidential. I am sure and have confidence of your ability and reliability to prosecute a transaction of this great magnitude. I solicit your assistance to enable us transfer the said amount into your safe account for onward investment. You can either provide us with an existing account or to set up a new Bank account immediately to receive this money, even an empty a/c can serve to receive this money, as long as you will remain honest to me till the end of this important business trusting in you and believing that you will never let me down either now or in future because this business is my life. The owner of this account is a foreigner and no other person knows about this account or anything concerning it, the account has no other beneficiary and until his death he was the manager of the company. My investigation through the National immigration department & Ministries here proved to me as well that he was single as at the time of his entry into the Republic of South Africa. The amount in this account is USD ($172,654,000.00 USD) Two Hundred & Twenty fifty million United States Dollars} only. As a matter of fact, I have decided to transfer this fund abroad for investment. Your assistance as a foreigner is necessary because the management of the bank will welcome any foreigner who has correct information to this account which I will give to you immediately, if you are interested to do this business with me. There is no risk in this business. With my position and my personal contact with the manager of the bank, the money can be transferred to any account you can provide with assurance that this money will be intact pending our physical arrival in your country for sharing. We will start the first transfer with Fifty million [$50,000.000]. Upon successful transfer without any disappointment from your side, we shall re-apply for the payment of the remaining balance of $122,654,000.00 Million to your account. I am only contacting you as a foreigner because this money cannot be approved to a local person here, but can only be approved to any foreigner who has the correct information of the account, which I will provide for you. So you should provide me with your correct account details where you will like the fund to be transferred to, or you can set up a new account for the transfer even an empty account is ok. At the conclusion of the transfer you will take 45%, 6% will be for any expenses both parties incurred in the process of this business and the remaining 49% will be for me. As soon as I hear from you and upon your strong assurance that you will not let me down once the fund goes into your account I will then start the processing of the transfer of the fund to your account without further delay. If you are interested, please forward the following information as below: {1} Your Name/company's name and full address, {2} Bank Name:............ {3} Bank Address... {4} Account No:......... {5} Swift Code...{if any} {6} Account Holder's Name: .......... {7} Your telephone Nos.both Home, Office & Cell/Mobile and fax Numbers... {8} Your Occupation {9} Your Valid ID Upon the receipt of the above details, payment will be activated by the feeding of your data into payment system, followed by a signal that will be sent to the paying bank to remit funds into your nominated bank account within 5 official working days of receipt of the above information. Contact me urgently via email privately for further<EMAIL_ADDRESS>Thanks. Best Regards, Mr. Dezaryi,


| Number | Customer | tax | Discount | Total | Ceated By | Total Items | Status | Action |
|---|---|---|---|---|---|---|---|---|
| 00024 | Walk in Customer | 12% | 2689.120 | admin Doe | 14 | Paid | ||
| 00023 | Walk in Customer | 12% | 0.000 | admin Doe | 0 | Unpaid | ||
| 00024 | Walk in Customer | 12% | 2689.120 | admin Doe | 14 | Paid | ||
| 00023 | Walk in Customer | 12% | 0.000 | admin Doe | 0 | Unpaid | ||
| 00024 | Walk in Customer | 12% | 2689.120 | admin Doe | 14 | Paid | ||
| 00023 | Walk in Customer | 12% | 0.000 | admin Doe | 0 | Unpaid |


I'm am passionate Information Technology Engineer with Bachelor’s of Engineering from Gujarat Technological University. Also, as a Canadian education I have AEC diploma in Information technology programmer analyst from LaSalle College, Montreal
As a programmer, problem solver at heart with strong analytical skills and the ability to collaborate with in the team. My goal is always to build softwares that are scalable and efficient under the hood while providing engaging, pixel-perfect user experiences.
When I'm not in front of a computer screen, I'm probably watching TV series, travel on the different cities and meet new people, or crossing off another item on my bucket list.


About the Author
My name is Derek and I'm in my second semester of the Computer Programming & Analysis program at Seneca College in Toronto, Ontario. I have a strong interest in learning new technologies and making web applications. I enjoy reading topics about software development, science and technology.


Aspiring Computer Engineer
PasswordSaver is a program built in C++ and SQL. It utilizes SQLite to save passwords into a database. The program is light and simple with a command-line user-interface.
SimpleTextFileEncryptor is a program built in Java. It utilizes JavaFX and Scenebuilder to create the graphical user interface. The purpose of this program is to encrypt text files using an exclusive or cipher (XOR). The program is light and simple.


We thank all PETSc users for their many suggestions, bug reports, and encouragement.
Recent contributors to PETSc are listed in the repository system
Earlier contributors to PETSc that are not captured in the repository system include:
- Asbjorn Hoiland Aarrestad, (the explicit Runge-Kutta implementations)
- G. Anciaux and J. Roman, (the interfaces to the partitioning packages PTScotch, Chaco, and Party)
- Allison Baker, (the flexible GMRES and the LGMRES code)
- Chad Carroll, (the Win32 graphics),
- Ethan Coon, (the PetscBag and many bug fixes),
- Cameron Cooper, (portions of the VecScatter routines)
- Paulo Goldfeld, (the balancing Neumann-Neumann preconditioner).
- Matt Hille,
- Joel Malard, (the BICGStab(l) implementation)
- Paul Mullowney, (improvement enhancements to portions of the Nvidia GPU interface)
- Dave May, (Generalized Conjugate Residuals (GCR) implementation)
- Peter Mell, (portions of the DA routines)
- Richard Mills, (the AIJPERM matrix format for the Cray X1; universal F90 array interface; enhancements to IBCGS; the AIJMKL matrix subclass)
- Victor Minden, (the Nvidia GPU interface)
- Todd Munson, (the LUSOL interface as well as the specialized KSPNASH, KSPSTCG, and KSPGLTR Krylov solvers)
- Robert Scheichl, (the MINRES implementation)
- Karen Toonen, (designed and implemented much of the PETSc web pages)
- Desire Nuentsa Wakam, (the deflated GMRES implementation)
- Liyang Xu, (the interface to PVODE, now Sundials/CVODE)


Field Tools is licensed under the Apache License, Version 2.0. You are free to use, modify and re-distribute the code as you see fit, provided that you abide by the terms of the Apache license. The full license is available on the Apache site or in the LICENSE.txt file included with the source code.
The primary repository for the source code since version 2.1 is GitHub. Versions 2.0 and earlier can be found on SourceForge.
Older versions of the source are kept in Subversion. Use the following URLs with your favourite Subversion client.
| URL | Description |
|---|---|
| https://phonefieldtools.svn.sourceforge.net/svnroot/phonefieldtools/tags/v2.0.2 | Version 2.0.2 stable code. |
| https://phonefieldtools.svn.sourceforge.net/svnroot/phonefieldtools/tags/v2.0.1 | Version 2.0.1 stable code. |
| https://phonefieldtools.svn.sourceforge.net/svnroot/phonefieldtools/tags/v2.0 | Version 2.0 stable code. |
| https://phonefieldtools.svn.sourceforge.net/svnroot/phonefieldtools/tags/v1.0 | Version 1.0 stable code. |


Hello, we are Smart Energy Informatics lab. We provide an integrated platform to design Smart Grid.
which refers to utility electric grid with ability of computerised remote control and automation which provides an infrastructure to fulfil the growing demands of electric energy.
We are comparing energy footprint of different labs and kresit building of IITBombay.
Smart Energy Informatics lab is a platform to find ways to improve service and meet customers energy needs in a smart, lower-carbon way. Renewable generation and energy efficiency must, and will, play a larger role.
Contest
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Check out Interesting analysis.
About Us
This is what we are.
Our Work Process.
Meet The Team.
Mayur kale
Director
Nikhilkumar Jadhav
Director
Nilang Shah
Senior Web Designer
Karan P
Web Designer
Testimonials
What our clients are saying.
Nabeel NasirDeveloper
This is perhaps the best site I have
Amandeep ChughEntrepreneur
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|
lem-in
|
#include "libftprintfgnl.h"
#include "graph.h"
#include "list.h"
#include "paths.h"
#include "parse.h"
#include "stdin.h"
#include <time.h>
Go to the source code of this file.
Functions | |
| static size_t | step_once (t_link **ants, size_t nants, const t_graph *graph) |
| Moves all ants that are currently en-route by one link forward. More... | |
| static void | cycle_to_finish (t_link **ants, size_t nants, const t_graph *graph) |
| Moves all ants by one link at a time, until all of them have reached their destination. More... | |
| static void | lemin (t_paths *paths, size_t nants, const t_graph *graph) |
| Runs Lem_in given some paths, ants and a graph. More... | |
| int | main (int argc, char **argv) |
Moves all ants by one link at a time, until all of them have reached their destination.
| ants | An array of iterators corresponding to each ant |
| nants | The total number of ants |
| graph | The graph in which the ants are travelling |
Definition at line 63 of file main.c.
Moves all ants that are currently en-route by one link forward.
| ants | An array of iterators corresponding to each ant |
| nants | The total number of ants |
| graph | The graph in which the ants are travelling |
Definition at line 31 of file main.c.


SPITFIRE GRILL A film review by Michael John Legeros Copyright 1996 Michael John Legeros
(Columbia) Directed by Lee David Zlotoff Written by Lee David Zlotoff Cast Ellen Burstyn, Alison Elliott, Marcia Gay Harden, Will Patton, Kieran Mulroney MPAA Rating "PG-13" Running Time 111 minutes Reviewed at General Cinema at Pleasant Valley, Raleigh, NC (7AUG96)
==
When faced with watching a movie that is so utterly uninteresting and entirely uninvolving, what is the sane person to do? Well, you can yawn and stretch and scratch your parts and read your watch and, if you're lucky enough to be armed with a notepad, translate your miseries into hand-written musings. The torture doesn't end, though, until you leave the theater, which is exactly what I wish I'd done during THE SPITFIRE GRILL. This butt-numbing tear-jerker stars newcomer Alison Elliott (THE UNDERNEATH) as a stranger in a small Maine town, recently released from prison and now working at a local diner. Her alien presence-- or is it her seeming aversion to shampoo?-- sets the entire town on its ear, which then gives the Crusty Diner Owner Widow Mother with the Bad Back (Ellen Burstyn) a chance to start sticking up for her. Yawn. This one won an award at the Sundance Film Festival and, frankly, I'd like to know what they were smoking. The hazy lighting, suffocating score, dueling accents, eye-rolling monologues, and story surprises that you can see coming from a mile off were all too much for me. But what do I know? The audience that I saw this with cried, clapped, and, in later scenes, cheerfully talked back to the screen.
Grade: C
--
Mike Legeros - Raleigh, NC
<EMAIL_ADDRESS>(h) -<EMAIL_ADDRESS>(w)
Visit me in MOVIE HELL
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Displayed in the formula bar when an embedded object is selected. EMBED cannot be entered on a sheet or used in a macro.
Syntax
EMBED(object_class, item)
Object_class is the name of the application and document type that created the embedded object. For example, the object_class arguments used when Microsoft Excel sheets are embedded in other applications are "Excel.sheet.5" and "Excel.Chart.5".
Item is the area selected to copy, and determines the view on the embedded document. When item is empty text (""), EMBED creates a view on the entire document.
Remarks
If you delete the EMBED formula, the embedded object remains on the sheet as a graphic, and the link to the creating application is deleted. Double-clicking the object no longer starts the creating application.
Return to index


Returns TRUE if the current member is the specified member or a child of the specified member.
Syntax
@ISICHILD (mbrName)
| Parameter | Description |
|---|---|
mbrName |
Any valid single member name or member combination, or a function that returns a single member or member combination. |
Example
In the Sample Basic database:
@ISICHILD(South)
Returns TRUE for Texas, Oklahoma, Louisiana, New Mexico, South
@ISICHILD(Profit)
Returns FALSE for Measures, Sales
See Also


Opendata example, attempt to make difference, help those, who lost their vehicles. Help those, who can accidentally buy stolen car. Your chance to verify, if vehicle is registred as stolen in Czech Republic.
There are more accessible databases. I know about Romanian, Slovenian, which can be utilized same way as Czech. It would be good to have one API that uses as many as possible national databases. I will do my best to incorporate those databases to my API. Unfortunately i do not have any sponsor (or a few milions of taxpayers) behind my backs, so forgive me slow development and responses. I do it in my spare time.
I am programmer, web developer. I love all the new technologies and services. This was a chance to try them. Learn something new. It's all opensource or free, so you can use it too.
JavaScript backend. Fast, nonblocking, ideal for my API.
Used modules (from nmp):Red Hat platform as service. Environment which powers this web and API. FreeShift variant gives me enough space and performance for now.
API documentation, testing. Describe API is not easy. Apiary make it as easy, as possible.
NoSQL database, storage for API data. Document oriented database. Json is base storage format, so is very easy just to put there API call results.
Front-end web responsive framework. Easy to build nice website even for programmer without any graphical sense. Responsive is great benefit out of box (Don't know? just try to resize this page).
Hosted continuous integration service for open source and private projects. Test runner for jasmine tests in this project. Configured to test every new revision found in git repository. Current build status:
And many more tools and technologies. Versioned in Git, IntelliJ IDEA as IDE, jQuery for frontend JavaScript (hosted on Google CDN) and HTML5 (comes with Bootstrap).


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