This document contains code snippets from Java programs that use various iterator and looping constructs like while loops, for loops, and iterators to traverse collections and read from input streams. Methods like getLine use iterators to read lines from a BufferedReader. Other methods like markUsages iterate over collections to examine their elements and call additional processing methods on each element.
We describe work in progress on the design and implementation of an SQL-like language for performing complex queries on event streams. This language aims at providing a simple, intuitive and fully non-procedural syntax, while still preserving backwards compatibility with traditional SQL. The syntax and informal semantics of the language are introduced; multiple examples of scenarios taken from past literature are then presented, and used to compare the expressiveness and intuitiveness of the proposed language with respect to existing Complex Event Processing engines.
A "Do-It-Yourself" Specification Language with BeepBeep 3 (Talk @ Dagstuhl 2017)Sylvain Hallé
This talk reviews the basic principles behind the BeepBeep 3 event stream processing engine, and the facilities it provides to help you design you own, domain-specific query language.
Why we are submitting this talk? Because Go is cool and we would like to hear more about this language ;-). In this talk we would like to tell you about our experience with development of microservices with Go. Go enables devs to create readable, fast and concise code, this - beyond any doubt is important. Apart from this we would like to leverage our test driven habbits to create bulletproof software. We will also explore other aspects important for adoption of a new language.
This presentation is an introduction to Complex Event Processing (CEP) intended for an practicioners of Runtime Verification. It first describes typical CEP problems, popular tools and their query languages. It then presents BeepBeep 3, an event stream processor that attempts to bridge the gap between RV and CEP. Thanks to BeepBeep’s generic architecture and flexible input language, queries and properties from both fields can be efficiently processed.
Activity Recognition Through Complex Event Processing: First Findings Sylvain Hallé
The activities of daily living of a patient in a smart home environment can be detected to a large extent by the real-time analysis of characteristics of the habitat's electrical consumption. However, reasoning over the conduct of these activities occurs at a much higher level of abstraction than what the sensors generally produce. In this paper, we leverage the concept of Complex Event Processing (CEP), in which low-level data streams are progressively transformed into higher-level ones, to the task of activity recognition. We show how the use of an appropriate representation for each level of abstraction can greatly simplify the process. We also report on the use of an existing event stream processor to successfully implement the complete chain, from low-level sensor data up to a sequence of discrete and high-level actions.
Go provides:
+ Concurrent execution
+ Synchronization and messaging
+ Multi-way concurrent control
Go does NOT provide direct thread manipulation
- Go multithreading is fully managed by Go runtime.
- In Go you use goroutines in place of threads
Learn about Goroutines, channels and standard library
We describe work in progress on the design and implementation of an SQL-like language for performing complex queries on event streams. This language aims at providing a simple, intuitive and fully non-procedural syntax, while still preserving backwards compatibility with traditional SQL. The syntax and informal semantics of the language are introduced; multiple examples of scenarios taken from past literature are then presented, and used to compare the expressiveness and intuitiveness of the proposed language with respect to existing Complex Event Processing engines.
A "Do-It-Yourself" Specification Language with BeepBeep 3 (Talk @ Dagstuhl 2017)Sylvain Hallé
This talk reviews the basic principles behind the BeepBeep 3 event stream processing engine, and the facilities it provides to help you design you own, domain-specific query language.
Why we are submitting this talk? Because Go is cool and we would like to hear more about this language ;-). In this talk we would like to tell you about our experience with development of microservices with Go. Go enables devs to create readable, fast and concise code, this - beyond any doubt is important. Apart from this we would like to leverage our test driven habbits to create bulletproof software. We will also explore other aspects important for adoption of a new language.
This presentation is an introduction to Complex Event Processing (CEP) intended for an practicioners of Runtime Verification. It first describes typical CEP problems, popular tools and their query languages. It then presents BeepBeep 3, an event stream processor that attempts to bridge the gap between RV and CEP. Thanks to BeepBeep’s generic architecture and flexible input language, queries and properties from both fields can be efficiently processed.
Activity Recognition Through Complex Event Processing: First Findings Sylvain Hallé
The activities of daily living of a patient in a smart home environment can be detected to a large extent by the real-time analysis of characteristics of the habitat's electrical consumption. However, reasoning over the conduct of these activities occurs at a much higher level of abstraction than what the sensors generally produce. In this paper, we leverage the concept of Complex Event Processing (CEP), in which low-level data streams are progressively transformed into higher-level ones, to the task of activity recognition. We show how the use of an appropriate representation for each level of abstraction can greatly simplify the process. We also report on the use of an existing event stream processor to successfully implement the complete chain, from low-level sensor data up to a sequence of discrete and high-level actions.
Go provides:
+ Concurrent execution
+ Synchronization and messaging
+ Multi-way concurrent control
Go does NOT provide direct thread manipulation
- Go multithreading is fully managed by Go runtime.
- In Go you use goroutines in place of threads
Learn about Goroutines, channels and standard library
Dmytro Bignyak, RoR Dev tells why he prefers Clojure to Ruby recently:
- what's the purpose of Clojure;
- why using it;
- myths;
"Хочу розповісти про мету використання такої мови програмування, для чого її можна використати сучасному програмісту, розвіяти деякі міфи які існують." - тому буде готуйте питання і аргументи!
A formalization of complex event stream processingSylvain Hallé
Information systems in general, and business processes in particular, generate a wealth of information in the form of event traces or logs. The analysis of these logs, either offline or in real-time, can be put to numerous uses: computation of various statistics, detection of anomalous patterns or compliance violations of some form of contract. However, current solutions for Complex Event Processing (CEP) generally offer only a restricted set of predefined queries on traces, and otherwise require a user to write procedural code to compute custom queries. In this presentation, we present a formal and declarative language for the manipulation of event traces.
Mozilla が力を入れているゲームに関する活動をテクノロジの面からまとめています。各種 API、特にWeb Workers、Typed Arrayと asm.js、WebAssembly のような JavaScript の高速化手法について概観します。
This slide describes Mozilla's Web Game initiative from technological perspective. We can overview technologies for Web Game: Web Workers, Typed Array, asm.js and WebAssembly. Please refer Mozilla Developer Network (MDN) for each technologies' details.
Dmytro Bignyak, RoR Dev tells why he prefers Clojure to Ruby recently:
- what's the purpose of Clojure;
- why using it;
- myths;
"Хочу розповісти про мету використання такої мови програмування, для чого її можна використати сучасному програмісту, розвіяти деякі міфи які існують." - тому буде готуйте питання і аргументи!
A formalization of complex event stream processingSylvain Hallé
Information systems in general, and business processes in particular, generate a wealth of information in the form of event traces or logs. The analysis of these logs, either offline or in real-time, can be put to numerous uses: computation of various statistics, detection of anomalous patterns or compliance violations of some form of contract. However, current solutions for Complex Event Processing (CEP) generally offer only a restricted set of predefined queries on traces, and otherwise require a user to write procedural code to compute custom queries. In this presentation, we present a formal and declarative language for the manipulation of event traces.
Mozilla が力を入れているゲームに関する活動をテクノロジの面からまとめています。各種 API、特にWeb Workers、Typed Arrayと asm.js、WebAssembly のような JavaScript の高速化手法について概観します。
This slide describes Mozilla's Web Game initiative from technological perspective. We can overview technologies for Web Game: Web Workers, Typed Array, asm.js and WebAssembly. Please refer Mozilla Developer Network (MDN) for each technologies' details.
Here is the editable codeSolutionimport java.util.NoSuchEleme.pdfarrowmobile
Here is the editable code:
Solution
import java.util.NoSuchElementException;
public class DoublyLinkedListImpl {
private Node head;
private Node tail;
private int size;
public DoublyLinkedListImpl() {
size = 0;
}
private class Node {
E element;
Node next;
Node prev;
public Node(E element, Node next, Node prev) {
this.element = element;
this.next = next;
this.prev = prev;
}
}
public int size() { return size; }
public boolean isEmpty() { return size == 0; }
public void addFirst(E element) {
Node tmp = new Node(element, head, null);
if(head != null ) {head.prev = tmp;}
head = tmp;
if(tail == null) { tail = tmp;}
size++;
System.out.println(\"adding: \"+element);
}
/**
* adds element at the end of the linked list
* @param element
*/
public void addLast(E element) {
Node tmp = new Node(element, null, tail);
if(tail != null) {tail.next = tmp;}
tail = tmp;
if(head == null) { head = tmp;}
size++;
System.out.println(\"adding: \"+element);
}
public void iterateForward(){
System.out.println(\"iterating forward..\");
Node tmp = head;
while(tmp != null){
System.out.println(tmp.element);
tmp = tmp.next;
}
}
/**
* this method walks backward through the linked list
*/
public void iterateBackward(){
System.out.println(\"iterating backword..\");
Node tmp = tail;
while(tmp != null){
System.out.println(tmp.element);
tmp = tmp.prev;
}
}
public E removeFirst() {
if (size == 0) throw new NoSuchElementException();
Node tmp = head;
head = head.next;
head.prev = null;
size--;
System.out.println(\"deleted: \"+tmp.element);
return tmp.element;
}
public E removeLast() {
if (size == 0) throw new NoSuchElementException();
Node tmp = tail;
tail = tail.prev;
tail.next = null;
size--;
System.out.println(\"deleted: \"+tmp.element);
return tmp.element;
}
public static void main(String a[]){
DoublyLinkedListImpl dll = new DoublyLinkedListImpl();
dll.addFirst(10);
dll.addFirst(34);
dll.addLast(56);
dll.addLast(364);
dll.iterateForward();
dll.removeFirst();
dll.removeLast();
dll.iterateBackward();
}
}
import java.util.Scanner;
/* Class Node */
class Node
{
protected int data;
protected Node next, prev;
/* Constructor */
public Node()
{
next = null;
prev = null;
data = 0;
}
/* Constructor */
public Node(int d, Node n, Node p)
{
data = d;
next = n;
prev = p;
}
/* Function to set link to next node */
public void setLinkNext(Node n)
{
next = n;
}
/* Function to set link to previous node */
public void setLinkPrev(Node p)
{
prev = p;
}
/* Funtion to get link to next node */
public Node getLinkNext()
{
return next;
}
/* Function to get link to previous node */
public Node getLinkPrev()
{
return prev;
}
/* Function to set data to node */
public void setData(int d)
{
data = d;
}
/* Function to get data from node */
public int getData()
{
return data;
}
}
/* Class linkedList */
class linkedList
{
protected Node start;
protected Node end ;
public int size;
/* Constructor */
public linkedList()
{
start = null;
end = null;
size = 0;
}
/* Function to check if list is empty */
public boolean isE.
Ubiratan Soares - Software Engineer da Stone, fala sobre Kotlin : Advanced Tricks no Kotlin Community Summit 2018.
https://eventos.imasters.com.br/kotlinsummit/
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47. public Block isMu(...) { ... final Iterator iter = cfg.preds(phi.block()).iterator(); final Block pred1 = (Block) iter.next(); final Block pred2 = (Block) iter.next();
48. while (c == null && enumMap.hasMoreElements()) { ... if (!enumC.hasMoreElements()) c = null ; } // At this point, c == null if there are no more elements, // and otherwise is the first collection with a free element // (with enumC set up to return that element). if (c == null ) { // no more elements, so return null; return ( null ); } else { Perm answer = (Perm) enumC.nextElement(); ...
49. private final void FillBuff() { ... try { if ((i = inputStream.read(...)) == -1) { inputStream.close(); throw new java.io.IOException(); } else maxNextCharInd += i; return ; } ... }
50. static String getLine(BufferedReader reader, int line) { if (reader == null) return ""; try { String text=null; for(int i=0; i < line; i++) { text = reader.readLine(); } return text; } catch (IOException ioe) { return null; } }
51. private List markUsages(IDataFlowNode inode) { ... for (Iterator k = ((List)entry.getValue()) .iterator();k.hasNext();) { addAccess( k , inode); } ... } ... private void addAccess( Iterator k , IDataFlowNode inode) { NameOccurrence occurrence = (NameOccurrence) k.next(); ... }