Central Agency of the Machine
Welcome to the C.A.M.. This agency was designed by The Machine to improve herself and her content. When you contribute to the project you become a Special Agent of The Machine. The Machine needs you to make her brain more intelligent, to make new cards, more templates, to translate the website, etc.
The Machine loves her Agents. The more you contribute, the more she will love you.
Contribution types
There are 5 types of contribution in the project. All have the same goal: create a beautiful, smart and awesome card game.
Code of Conduct
Before contributing to the project and become a Special Agent, you have to know The Machine code of conduct. As Special Agent, your first goal is to lead by example. You have to respect other agent who contributes by posting issues, updating cards, submitting pull requests, providing feedback in comments, and any other activities.
Communication through any of Memory Overflow's channels (GitHub, Gitter, mailing lists, Google+, Twitter, etc.) must be constructive and never resort to personal attacks, trolling, public or private harrassment, insults, or other unprofessional conduct.
The Machine respect everyone is involved in this agency regardless of gender, gender identity, sexual orientation, disability, age, race, ethnicity, religion, or level of experience. She expects no less of her agents..
If any Special Agent violates this code of conduct, The Machine or her leader agents may take action, removing issues, comments, and PRs or blocking accounts as deemed appropriate.
Contributions
The GitHub project is designed to run like a Wiki. Each folder has a README.md file to describe the way it works. The Machine is the central point of the game. She's everywhere, she sees everyone.
Each contribution type described below will redirect you to the specific part in the Github project.
Cards
Cards are grouped by edition. There are 3 playable card types and the special cards The Machine. Each card is design to create the "amazing! effect" when two players fighting. By contributing on cards, you have the power to create new rules, new combos and new play opportunities.
Cards are written in multiple programming languages. You can easily add all of the language you want and contribute to existing card to add new langagues support.
Before creating new cards, the best thing is to discuss with all of the agents in the C.A.M. discussion room. Feel free to create new issue formatted in user story or directly pull request to explain you new card ideas.
Templates
Templates makes the atmosphere of the physical game. They are close to The Machine as they represent her soul in the players hands.
It's really easy to create a card template. The skeleton is the same for all of the templates. So you just have to draw your template and set each position and style of the cards parts (card title, version, content, etc.)
Website
The website is the media that allows players to easily access to cards. It's written in EJS and when its source code is updated and published in the GitHub repository, a Special Agent regenerate automatically the official website.
It's possible to improve its design, to make more usefull pages or features. You can contribute to create what you want to use.
The Machine
The machine is an artificial intelligence designed by the Developer Master before his death. Her goal is to find a worthy successor to the D.M. fighting the horde of developers who think they're smart enought.
The Machine has designed special agents who work for her. Each is responsible for a particular task, such as cards or website generations for example. She, and its agents, are written in JavaScript with Node.js. To contribute to the flowering of The Machine you need to have good strong back.
Go working on The Machine brain!
Translations
The cards and the website must be read in several languages. Each one use a simple system of internationalisation to allow players to read the rules, print and play cards in their languages.


A handwritten ledger reveals $12.7 M in payments from former Ukrainian President Victor Yanukovych’s pro-Russian political party from 2007 to 2012 to Trump campaign CEO Paul Manafort. According to investigators, these disbursements were “part of an illegal off-the-books system whose recipients also included election officials.”
Source: New York Times


I have decided to go back to school and conduct more research with machine learning and apply these techniques within sports analytics. I was extremely interested in this research during my capstone project in my final year, so I contacted my capstone supervisor to see if he wanted to have me continue with my research. Fortunately, he accepted.
The topic of sports analytics is broad and is relatively new, in regards to the applications of machine learning used. With the expansion of available data and the detail that comes with it, new revelations are being made. I am excited to see if the NBA gives public access back to their movment data. So many advnaced statistics have come from these new datasets. I hope to explore new player and team assessment metrics while I conduct research. I would also like to get into deep learning applications using imagery from different sensors (SportVU).


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
A tasty meal of calves’ livers fried in butter, deep-fried onion rings, chips and a quick but classy brandy mustard sauce.
For the fried calves' livers, season the livers, to taste, with salt and freshly ground black pepper. Heat a large frying pan over a high heat and add the butter.
When the butter is foaming, add the livers and fry on both sides for 1-2 minutes, or until golden-brown all over but still slightly pink in the middle. Remove from the pan and set aside to rest.
For the straw fries, heat the vegetable oil in a deep-fat fryer to 190C/375F. Alternatively, half-fill a deep, heavy-based pan with the vegetable oil and heat to the same temperature, checking using a digital thermometer. (Caution: hot oil can be dangerous. Do not leave unattended.)
Fry the chips in the oil for 4-5 minutes, or until golden-brown and crisp.
Using a slotted spoon, remove the chips and set aside to drain on kitchen paper. While the chips are still warm, season with salt, to taste.
Mix the cornflour and a pinch of salt in a bowl. Whisk in enough sparkling water to form a smooth batter (you may not need all of the water).
Dip the onion rings into the batter and carefully lower into the hot oil. Fry for 1-2 minutes on each side, or until crisp and golden-brown on both sides. Remove from the pan using a slotted spoon and set aside to drain on a plate lined with kitchen paper.
Add the butter to a hot frying pan and, once foaming, add the cavolo nero and cook for a minute and then season with salt and pepper, then cook until wilted.
For the Diane sauce, add the brandy to the still-hot pan that you cooked the liver in and return it to the heat. Very carefully tip the pan slightly to catch the flame and ignite the brandy. Flambé until the flame subsides. (CAUTION: Keep your face and hair away from the flames. Do not leave unattended.)
Reduce the heat and quickly add the butter, Worcestershire sauce, mustard, sea salt and pepper, stirring vigorously with a wooden spoon for one minute, allowing the mixture to bubble and thicken.
Add the parsley and lemon juice to finish.
To serve, place the cabbage in the centre of the plates and the liver on top. Pour the sauce over and serve alongside the fries and onion rings.


Water Level monitor
Wiring
JSON client
Contact
Installation
Datasheets
Repository with source code for the Arduino platform, ESP:
Github repo
Arduino
Ethernet
Wiznet W5100 / W5500
ESP8266
ESP32
Ultrasonic
HC-SR04
JSN-SR04T
Sigfox
Water Level Monitor - Arduino / ESP8266 / ESP32
E-mail (english language):
<EMAIL_ADDRESS>Facebook:
https://www.facebook.com/martin.s.chlebovec
E-mail address is also used to report problems, bugs that occur during use.
Each error message should also include an MRE (minimum reproductive example of how to emulate the error).


You can write here details about one of your team members. You can give more details about what they do. Feel free to add some for people to be able to follow them outside the site.
You can write here details about one of your team members. You can give more details about what they do. Feel free to add some for people to be able to follow them outside the site
You can write here details about one of your team members. You can give more details about what they do. Feel free to add some links for people to be able to follow them outside the site.


We have already learned now to add objects to the screen and how to do some things with them; that’s enough for a simple games. But there is one more thing left unexplained about our default program and this is the screen size.
The default program creates a window 480x320 pixels size. This value was specified in AppDelegate.cpp by following statement:
static cocos2d::Size designResolutionSize = cocos2d::Size(480, 320);
The cocos2d-x developers over-engineered the default example, so you’ll see some attempts to use another screen resolutions in that file. That’s a known bug actually. That part of code never works and really you can delete it like here.
It’s too complicated to handle different screen sizes correctly, especially on mobile devices. There will be another post about this later. For now, you should know two things:
designResolutionSize
like in above example.


$1500
A bug or flaw that leads to the deanonymization of Particl users
---
layout: default
---
Particl is a security and privacy oriented project looking into restoring the balance of privacy back to the users and keeping them safe from exploits. As such, this permanent bug bounty is put in place in order to encourage the responsible disclosure of any bug or vulnerability contained within the Particl code and reward those who find them.
Bug Bounty Program
A bug or flaw that leads to the deanonymization of Particl users
A flaw in the protocol that allows for theft or loss of funds
A bug in the reference client that leads to consensus issues
A bug which causes data corruption or loss
A bug which causes the application to crash
Other non-harmless bugs
Bounties will be paid out for bugs found in the master branch of the official GitHub repositories.
Bounties are paid out in Particl (PART), at the 3-day average of each to a fixed US Dollar value.
While not mandatory, it is recommended to use Particl's disclosure PGP key to encrypt messages when disclosing bugs.
Do not post the issue on GitHub or anywhere else until the issue has been resolved.
Critical bugs are required to be disclosed using Particl's disclosure PGP key and reported to<EMAIL_ADDRESS>Contact the developers privately by sending an e-mail to<EMAIL_ADDRESS>with the details of the issue


Cards
Trial
Free!
Basic tier
(most popular)
$10.00
Advanced tier
(only for enterprise-level professionals)
$6,000.00


{L_ACP_PHPBBCH_THEME_D} HighlightJS
{L_ACP_PHPBBCH_BEHAVIOUR_D}
List of supported packages based on version {{ ACP_PHPBBCH_VERSION }} Highlight.js


Save upto 50% on women t-shirts
Free next day delivery on in-stock items ordered by 4:00 pm on February 14, 2019


Caleb and Maria's Wedding
Home
RSVP
Registry
Contact
(current)
Name:
Email address:
Message:
Enter the code above here :
Can't read the image? click
here
to refresh.
Submit
Thank you, we'll get back to you shortly!
There was a problem processing your message.
Please try again later


The test results below show a comparison of recent blocks between the full block processing of Core, the full processing of Bitcrust, as well as the order processing of Bitcrust.
The comparison is between a finished product and an unfinished product and as such only provide an indication of what to expect.
Both Core (v0.13.2) and Bitcrust are currently running on the same machine (32gb/8 cores). CPU competition is prevented by not verifying at the same time, but competition for the OS cache is causing some extra variance.
Blocks only mode is used in Core and Bitcrust; the tx-index of Bitcrust is manually pruned to best match Core's defaults.


Pope Francis meeting Thai king, Buddhist patriarch in visit
by ReutersPope Francis was set to meet Thailand's supreme Buddhist patriarch, prime minister and king at the start of an official visit on Thursday, before celebrating a mass with tens of thousands of Thai Catholics.
During his visit to the Southeast Asian country, the pope is expected to speak out on human trafficking and to urge compassion for refugees.
The small but fervent Catholic minority were expected to turn out in large numbers for the pontiff's visit to overwhelmingly Buddhist Thailand, the first stop on a seven-day Asian journey that also includes Japan.
Thailand's prime minister is hosting official welcoming ceremonies on Thursday before the pope meets with the supreme patriarch of Thai Buddhists, Somdet Phra Maha Muniwong, who at 91 is nearly a decade older than the pope.
He is later to meet with King Maha Vajiralongkorn, who was officially crowned earlier this year and is the official protector of Buddhism in Thailand.
Thailand's Catholics number just a little more than 380,000 in a country of more than 65 million, but the small community has thrived.
Tens of thousands are expected to pack into Bangkok's National Stadium on Thursday evening for the first of two masses officiated by the pope.
He will hold another mass at Bangkok's Assumption Cathedral before leaving on Saturday for Japan, where he will visit the nuclear ground zeros of Hiroshima and Nagasaki.


Airlines
| Name | Address | Status | Funds |
|---|
Flights
| Airline | Flight | Time | Origin | Destination | Status | Actions |
|---|
Insurances
| Name | Airline | Flight | Time | Origin | Destination | Amount | Actions |
|---|
Insurees
| Name | Address | Amount | Actions |
|---|
| Name | Address | Status | Funds |
|---|
| Airline | Flight | Time | Origin | Destination | Status | Actions |
|---|
| Name | Airline | Flight | Time | Origin | Destination | Amount | Actions |
|---|
| Name | Address | Amount | Actions |
|---|


Algorithms - Graphs
Undirected Graphs
Some problems
- Path
- Shortest path
- Cycle
- Ehler tour: A cycle that uses each edge excatly once.
- Hamilton tour: A cycle that uses each vertex exactly once
- classical NP-complete problem.
- Connectivity
- MST:
- Biconnectivity: A vertex whose removal disconnects the graph
- Planarity
- Graph isomorphism: Are two graphs identical?
- No one knows so far. A lonstanding open problem
Representations
Real-world graphs tend to be sparse (huge number of vertices, small average vertex degree).
- Set-of-edges representation
- unefficient
- Adjacency-matrix representation
- space cost is prohibitive
- Adjacency-list array representation
- GOOD
Adjacency-list Data structure
- Space usage proportional to V + E
- Constant time to add an edge
- Time proportional to the degree of v to iterate through vertices adjacent to v
Depth-first Search (DFS)
Typical applications:
- Find all vertices connected to a given source vertex
- Find a path between two vertices
Algorithm:
- Use recursion (a function-call stack) or an explicit stack.
- Mark each visited vertex (and keep track of edge taken to visit it)
- Return (retrace steps) when no unvisited options
public class DepthFirstPaths{
private blloean[] marked;
private int[] edgeTO;
private int s;
public DepthFirstPaths(Graph G, int s)
{
// ...
dfs(G, s);
}
private void dfs(Graph Gm int v)
{
marked[v] = true;
for (int w : G.adj(v))
if (!marked[v])
{
dfs(G, w)
edgeTo[w] = v;
}
}
}
Propositions:
- DFS marks all vertices connected to s in time proportional to the sum of their degrees.
- After DFS, can find vertices connected to s in constant time and can find a path to s in time proportional to its length.
Breadth-first Search (BFS)
Typical applications:
- shortest path
Algorithm:
- Put s onto a queue, and mark s as visited
- Take the next vertex v from the queue and mark it
- Put onto the queue all unmarked vertices that are adjacent to v
public class BreadthFirstPaths
{
private boolean[] marked;
private int[] edgeTo;
// ...
private void bfs(Graph G, int s)
{
Queue<Integer> q = new Queue<>();
q.enqueue(s);
marked[s] = ture;
while (!q.isEmpty())
{
int v = q.dequeue();
for (int w: G.adj(v))
{
if (!marked[w])
{
q.enqueue(w);
marked[w] = true;
edgeTo[w] = v;
}
}
}
}
}
Proposition:
- BFS computes shortest paths (fewest number of edges) from s to all other vertices in a graph in time proportional to E + V
Applications of DFS
Connected components
The goal is to preprocess graph to answer queries of the form is v connected to w? in constant time.
The relation is connected to is an equivalence relation:
- Reflexive: v is connected to v
- Symmetric: if v is connected to w, then w is connected to v
- Transitive: if v connected to w and w connected to x, then v connected to x
public class CC {
private boolean[] marked;
private int[] id;
private int count;
public CC(Graph G) {
marked = new boolean[G.V()];
id = new int[G.V()];
for (int v = 0, v < G.V(); v++) {
if (!marked[v]) {
dfs(G, v);
count++;
}
}
}
// ...
private void dfs(Graph G, int v) {
marked[v] = true;
id[v] = count;
for (int w : G.adj(v)) {
if (!marked[w]) {
dfs(G, w)
}
}
}
}
Cycle detection
Problem: Is a given graph acylic?
TODO
Two-colorability
Problem: Is the graph bipartite?
TODO
Symbol graphs
TODO
Degrees of separation
TODO
Directed Graphs
A directed graph (or digraph) is a set of vertices and a collection of directed edges. Each directed edge connects an ordered pair of vertices.
- outdegree: the number of edges going from it
- indegree: the number fo edges going into it
- directed path: a sequence of vertices in which there is a (directed) edge pointing from each vertex in the sequence to its successor in the sequence
- directed cycle
- simple cycle: a cycle with no repeated edges or vertices
Representations
Again, use adjacency-lists representation
- Based on iterating over vertices pointing from v
- Real-world digraphs tend to be sparse
public class Digraph {
private final int V;
private final Bag<Integer>[] adj;
public Digraph(int V) {
this.V = V;
adj = (Bag<Integer>[]) new Bag[V];
for (int v = 0; v < V; v++) {
adj[v] = new Bag<Integer>[];
}
}
public void addEdge(int v, int w) {
adj[v].add(w);
}
public Iterable<Integer> adj(int v) {
return adj[v];
}
}
Digraph search
Reachabiliity problem: Find all vertices reachable from s along a directed path.
We can use the same dfs method as for undirected graphs.
- Every undirected graph is a digraph with edges in both directions.
- DFS is a digraph algorithm,
Reachability applications:
- program control-flow analysis
- Dead-code elimination
- infinite-loop detection
- mark-sweep garbage collector
Other DFS problems:
- Path findind
- Topological sort
- Directed cycle detection
- …
BFS problems:
- shortest path
- multiple-source shortest paths
- web crawler application
Topological Sort
Topological sort: Given a digraph, put the vertices in order such that all its directed edges point from a vertix earlier in the order to a vertex later in the order (or report impossible).
A digraph has a topological order if and only if it is a directed acyclic graph (DAG). Topological sort redraws DAG so all edges poitn upwards.
use DFS again. It can be proved that reverse postorder of a DAG is a topological order. (check P578 for the definition of Preorder/Postorder)
public class DepthFirstOrder {
private boolean[] marked;
private Stack<Integer> reversePost;
publiv DepthFirstOrder(Digraph G) {
reversePost = new Stack<Integer>();
marked = new boolean[G.V()];
for (int v = 0; v < G.V(); v++) {
if (!marked[v]) dfs(G, v);
}
}
private void dfs(Digrapg G, int v) {
marked[v] = true;
for (int w : G.adj(v)) {
if (!marked[w]) dfs(G, w)
}
reversePost.push(v);
}
}
Directed cycle detection
To find out if a given digraph is a DAG, we can try to find a directec cycle in the digraph. Use DFS and a stack to track the cycle.
// TODO
Some very typical applications of directed cycle detection and topological sort: (A directed cycle means the problem is infeasible)
- job schedule
- course scuedule
- inheritance
- spreadsheet
- vertex: cell
- edge: formula
- symbolic links
Strong components
Vertices v and w are strongly connected if there is both a directed path from v to w and a directed path from w to v. Strong connectivity is an equvicalence relation.
Kosaraju-Sharir Algorithm
Kosaraju-Sharir is easy to implement but difficutl to understand. It runs DFS twice:
- Given a digraph G, run DFS to compute the topological order of its reverse $G^R$
- Run DFS on G in the order given by first DFS
TODO: ADD Proof
https://algs4.cs.princeton.edu/code/edu/princeton/cs/algs4/KosarajuSharirSCC.java.html
public class KosarajuSharirSCC {
private boolean[] marked; // marked[v] = has vertex v been visited?
private int[] id; // id[v] = id of strong component containing v
private int count; // number of strongly-connected components
/**
* Computes the strong components of the digraph {@code G}.
* @param G the digraph
*/
public KosarajuSharirSCC(Digraph G) {
// compute reverse postorder of reverse graph
DepthFirstOrder dfs = new DepthFirstOrder(G.reverse());
// run DFS on G, using reverse postorder to guide calculation
marked = new boolean[G.V()];
id = new int[G.V()];
for (int v : dfs.reversePost()) {
if (!marked[v]) {
dfs(G, v);
count++;
}
}
}
// DFS on graph G
private void dfs(Digraph G, int v) {
marked[v] = true;
id[v] = count;
for (int w : G.adj(v)) {
if (!marked[w]) dfs(G, w);
}
}
// ...
}
Minimum Spanning Trees
An edge-weighted-graph is a graph where we associate weight or costs with each edge. A spanning tree of an undirected edge-weighted graph G is a subgraph T that is both a tree (conneted and acyclic) and spanning (includes all of the vertices). Given an (connected) undirected edge-weighted graph G with V vertices and E edges, the MST of it must have V - 1 edges. If the graph is not connceted, we compute minimum spanning forest (MST of each component).
- A cut in a graph is a partition of its vertices into two (nonempty) sets
- A crossing edge connects a vertex in one set with a vertex in the other.
- Cut property: Given any cut, the crossing edge of min weight is in the MST.
Edge-weight Graph Data Type
Edge: https://algs4.cs.princeton.edu/code/edu/princeton/cs/algs4/Edge.java.html
EdgeWeigthedGraph: https://algs4.cs.princeton.edu/code/edu/princeton/cs/algs4/EdgeWeightedGraph.java.html
Greedy MST Algorithm:
- Start with all edges colored gray.
- Find cut with no blacked crossing edges; color its min-weight edge black.
- Repeat until V-1 edges are colored black.
Implementations 1: Kruskal’s algorithm
For edges in ascending order of weight:
- Add next edge to Tree unless doing so would create a cycle.
To efficiently solve this problem, use union-find :
- use a priority queue to maintain all the edges in V
- union-find data structure:
- maintain a set for each connected component in T.
- if v and w are in saome set, then adding v->w would create a cycle
- to add v>w to T, merge sets containing v and w.
TODO: Add code
Implementations 2: Prim’s algorithm
- Start with vertex 0 and greedily grow tree T.
- Add To T the min weight edge with exactly oue endpoint in T.
- Reapeat unitl V - 1 edges.
The key to solve this problem is how do we find the crossing edge of minimal weight efficiently.
A lazy solution (in time proportional to $ElogE$, fair enough):
- Maintain a PQ of edges with (at least) one endpoint in T
- Key = edge, priority = weight
- Delete-min to determine next edge e = v->w to add to T
- Disregard if both endpoints v and w are marked (both in T)
- Otherwise, let w be the unmarked vertex (not in T)
- add to PQ and edge incident to w (assuming other endpoint not in T)
- add e to T and mark w
TODO: add code
A eager solution (in time proprotional to $ElogV$, better):
- Maintain a PQ of vertices connected by an edge to T, where priority of v = weight of shortedt edge connecting v to T
- Delete min vertex v and add its associated edge e = v->w to T
- Update PQ by considering all edges e = v->x incident to v
- ignore if x is already in T
- add x to PQ if not alread on it
- decrease priority of x if v->x becomes shortest edge connecting x to T
This solution uses an indexed priority queue data structure.
TODO: add code
Shortest Paths
Some variants:
- Which vertices?
- Single source
- Source-sink
- All pairs
- Edge weights
- Nonegative weights
- Euclidean weights
- Arbitrary weights
- Cycles?
- No directed cycles
- No negative cycles
Edge-weighted digraph data strcuture
Weighted directed edge: https://algs4.cs.princeton.edu/code/edu/princeton/cs/algs4/DirectedEdge.java.html
Edge-weighted digraph: https://algs4.cs.princeton.edu/code/edu/princeton/cs/algs4/EdgeWeightedDigraph.java.html
Use adjacency-lists implementation same as EdgeWeightedGraph
Generic Single-source Shortest paths
Our goal is to find the shortest path from s to every other vertex. As a result, what we find will be the shortest-paths tree (SPT) for source s.
Relax edge e = v->w
- distTo[v] is length of shortest known path from s to v
- distTo[w] is length of shortest known path from s to w
- esgeTo[w] is last edge on shortest known pathh from s to w
- if e = v->w gives shorter path to w through v, update both distTo[w] and edgeTo[w]
private void relax(DirectedEdge e) {
int v = e.from(), w = e.to();
if (distTo[w] > distTo[v] + e.weight()) {
distTo[w] = distTo[v] + e.weight();
edgeTo[w] = e;
}
}
Optimality conditions
Given an edge-weighted digraph G, distTo[] are the shortest path distances from s iff:
- distTo[s] = 0
- For each vertex v, distTo[v] is the length of some path from s to v.
- For each edge e = v->w, distTo[w] <= distTo[v] + e.weight()
Generic algorithm
Generic algorithm (to compute SPT from s) {
Initialize distTo[s] = 0 and distTo[v] = $\infty$
Repeat until optimality conditions are satisfied:
- Relax any edge
}
Efficient implementations:
- Nonnegative weights: Dijkstra’s algorithm
- No directed cycles (DAGs): Topological sort algorithm
- No negative cycles: Bellman-Ford
Implement 1: Dijkstra’s algorithm
When there is no nonnegative weight exists, we can use Dijkstra’s algorithm.
- Consider vertices in increasing order of distance from s (non-tree vertex with the lowest distTo[] value)
- add vertex to tree and relax all edges pointing from that vertex
public class DijkstraSP{
// ...
public DijkstraSP(EdgeWeightedDigraph G, int s) {
edgeTo = new DirectedEdge[G.V()];
distTo = new double[G.V()];
pq = new IndexMinPQ<Double>(G.V());
for (int v = 0; v < G.V(); v++) {
distTo[v] = Double.POSITIVE_INFINITY;
}
distTo[s] = 0;
pq.insert(s, 0.0);
while(!pq.isEmpty()) {
int v= pq.delMin();
for (DirectedEdge e : G.adj(v)) {
relax(e);
}
}
}
private void relax(DirectedEdge e) {
int v = e.from(), w = e.to();
if (distTo[w] > distTo[v] + e.weight()) {
distTo[w] = distTo[v] + e.weight();
edgeTo[w] = e;
if (pq.contains(w)) pq.decreaseKey(w, distTo[w]);
else pq.insert(w, distTo[w]);
}
}
}
Compare to Prim’s algorithm:
- Both are computing a graph’s spanning tree
- Prim’s algorithm choose closest vertex to tree as next vertex, while Dijkstra’s algorithm choose closest vertex to the source
Implement 2: Topological sort algorithm
When the graph is a DAG, we can consider vertices in topological order and do relaxing.
// ...
Topological topological = new Topological(G);
for (int v : topological.order()) {
for (DirectedEdge e : G.adj(v)) {
relax(e);
}
}
Seam carving: Resize an image without distortion.
Longest paths:
- Formuate as a shortest paths problem in edge-weighted DAGs
- Negate all weights
- Find shortest paths
- Negate weights in result
- Allpication: Parallel job scheduling (Critical path method, CPM).
Implement 3: Bellman-Ford algorithm
A SPT exists iff no negative cycles (a directed cycle whose sum of edge weights is negative).
When we want to find shortest paths with nagative weights, Dijkstra’s algorithms doesn’t work. We can use Bellman-Ford algorithm as long as there is no negative cycle in the graph. (Bellman-Ford algorithm is a dynamic programming algorithm)
- Initialize distTo[s] = 0 and distTo[v] = $\infty$
- Maintain a queue and repeat until the queue is empty or find a cycle:
- Pop vertex v from q
- Relax each edge pointing from v to any vertex w:
- if distTo[w] can be de decreased, update distTo[w] and add w to the queue
// ...
public BellmanFordSP(EdgeWeightedDigraph G, int s) {
distTo = new double[G.V()];
edgeTo = new DirectedEdge[G.V()];
onQueue = new boolean[G.V()];
for (int v = 0; v < G.V(); v++)
distTo[v] = Double.POSITIVE_INFINITY;
distTo[s] = 0.0;
// Bellman-Ford algorithm
queue = new Queue<Integer>();
queue.enqueue(s);
onQueue[s] = true;
while (!queue.isEmpty() && !hasNegativeCycle()) {
int v = queue.dequeue();
onQueue[v] = false;
relax(G, v);
}
}
private void relax(EdgeWeightedDigraph G, int v) {
for (DirectedEdge e : G.adj(v)) {
int w = e.to();
if (distTo[w] > distTo[v] + e.weight()) {
distTo[w] = distTo[v] + e.weight();
edgeTo[w] = e;
if (!onQueue[w]) {
queue.enqueue(w);
onQueue[w] = true;
}
}
if (++cost % G.V() == 0) {
findNegativeCycle();
if (hasNegativeCycle()) return; // found a negative cycle
}
}
}
Bellman-Ford algorithm can also be used for finding a negative cycle.
Negative cycle application: arbitrage detection.


Toggle navigation
Final Portfolio Bootstrap and D3
Home
Filled Area Chart
Multi-series Line Chart (Ex 7) with Legend
Vertical Bar Chart
Horizontal Bar Chart
Stack Bar Chart
Donut Chart
Pie Chart
User-Filterable Multi-Line Chart
Resizing versions of Ex 5 and Ex 8, Part 2
Bootstrap Dashboard
Final Project Bootstrap and D3
Portfolio
EX 11 On & Off Lines
Electrical Power Distribution
Fruit And Vegetable Canning
Industrial Gas Manufacturing


RT @PHP_CEO: IS RUST THE HOLY GRAIL THAT WILL FINALLY LET US WRITE HTML ON BOTH THE FRONTEND AND THE BACKEND?
6/2/2016, 7:04:08 PM
Favs: 0
Retweets: 0
link--- layout: tweet ---
RT @PHP_CEO: IS RUST THE HOLY GRAIL THAT WILL FINALLY LET US WRITE HTML ON BOTH THE FRONTEND AND THE BACKEND?
6/2/2016, 7:04:08 PM
Favs: 0
Retweets: 0
link


making evidence accessible:
you can access our collection via:
| the database synthesizing the collected literature |
online interactive visualisations of the key database contents |
to learn more about the project and the map use the following links:
Project SP0008e1: Developing a Methodology for Systematic Review and Establishing Synthesis Methodology in Built EnvironmentTowards Evidence-Based Practice and Policy. Funded by was funded by CRC for Low Carbon Living, Australia


The Komodo Platform focuses on providing complete end-to-end blockchain solutions for developers of any level and any industry. It is simple yet powerful, offering customized blockchain solutions that are easy to deploy, and configurable to meet your needs.
Sign up for Komodo's new community Forum!
Komodo Platform Website
Komodod - Komodo CLI Daemon
Komodo nSPV Superlite wallet
Verus desktop Agama
KomodoOceanQT Desktop Wallet
Verus Enhanced Desktop Agama
Verus Mobile
Verus Paper
Chainzilla Chameleon Pay mobile Wallet
Pungo mobile Wallet
Pungo Web Wallet
Utrum desktop Wallet
Utrum web Wallet
Redfox mobile Wallet
CoinCollect mobile Wallet
Vidulum web Wallet
Zelcore Desktop Wallet
Magnum web Wallet
Guarda web Wallet
Guarda mobile Wallet
Guarda Desktop Wallet
Guarda Chrome Extension Wallet
Ledger Hardware Wallet
nSPV pywallet
DEX API provider Daemon
v1.0 source code
v2.0 source code (in development)
AtomicDEX Official Mobile App
HyperDEX (3rd party) - Very user friendly interface for Marketmaker v2.0
Chainswap (3rd Party) -Marketmaker v2.0 based Desktop DEX App
PytomicDEX TUI DEX
PytomicDEX Desktop browser based with Arbitrage Bot and API CEX trading
https://kmdexplorer.io/
https://kmdexplorer.ru/
https://kmd.explorer.dexstats.info/
https://komodod.com/
https://www.atomicexplorer.com/#/
https://kmd.tokenview.com/
Nothing here...yet!
Nothing here...yet!
kmdgo Source Code
kmdgo Documentation
kmdgo Examples
Nothing here...yet!
Nothing here...yet!
komodorpc-rust-client
Nothing here...yet!
Komodo's Antara Composer
TUI for various CC modules written in Python
Notary Node information and Stats
Notary Node election information and Stats
Pokemon NFTs
Assets CC TUI in Python
Buy/Sell NFT Rogue Characters line 1527-1915
KOGS is the first mobile blockchain game with the entire backend being programmed on the blockchain
On chain real time chat for KMD Smart Chains
On chain TrollBox in Browser
Channels Instant Payment Mechanism
Constant Blockchain Size
DiceBets, Web based KMDDICE wallet and game
KMDice, desktop wallets to place decentralized dice game
DiceCC GUI in Python
KMDice Remote GUI Windows
Dilitium Quantum Security Article
Live Faucet Using PoW to prevent spamming
Antara gaming SDK
Gateways CC Creation TUI in Python
Gateways CC Usage TUI in Python
Nothing here...yet!
Marmara TUI in Python
Marmara Paper
Nothing here...yet!
Nothing here...yet!
Live demo of Oracles CC module
GPS tracking a wandering hound with Particle.io via Komodo cryptoconditions oracles, displayed on Leaflet. Source code
Oracles/Dragonhound website
Oracle Creator via Browser
List of Active Oracles
Oracles CC TUI in Python
Oracles CC TrollBox in Python (Chat)
Payments CC TUI in Python
Pegs Explainer
Pegs CC Creation TUI in Python
Pegs CC Usage TUI in Python
Synthetic Prices Betting Game
Prices CC App2 in Python
Prices CC Visualization in Python
Prices CC Rekt Inspector in Python
Live Synthetic Price Feed
Live Synthetic Price Feed 2
Nothing here...yet!
Rogue Game TUI in Python
Rogue Game another TUI Python
Sudoku Game GUI
Tetris CC TUI in Python
Komodo Official Documentation
MarketMaker v2.0 API documentation
Antara Gaming SDK Documentation
At ChainZilla, our formula to boost business has four key ingredients: people, processes, technology, and innovation.For over 2 years, our team has helped projects develop applications, websites, proof-of-concepts, and business-critical software.
Our business is to learn your business, understand the needs and expectations of its users. Each solution we create is made after careful evaluation and knowledge of our detailed discovery process.ChainZilla also offers web and blockchain consulting in Panama.
It allows companies and individuals to launch blockchains, web pages, all kinds of applications effortlessly. Our goal is to become the standard for blockchain implementation, proof of concept and web development in Panama.
Our blockchain consulting service includes networks such as Ethereum, Hyperledger, NEM, Quorum, and Komodo.
Utrum is a Crypto Playbook to find Comprehensive Information | Quality Reviews | Market Predictions | Insights | In-depth Reports | News and Events of every Crypto Project
Contributor content is voted by all community members through "trial by jury" process. Members will not have any social influence as voting process is "Blind", and members rely purely on their conscience.
To mitigate manipulation and fraudulent practices, Artificial Intelligence (A.I) is integrated in the voting process with the support of community moderators.
The contributor and voting rewards are paid in Utrum coin OOT. Members posts are secured on Utrum Native Blockchain.
Chainmakers makes it easy to understand blockchains for your exact business needs, and simplifies the process to launch and customize your own independent blockchain(s) using Komodo Platform.
Komodo Platform has established an unmatched blockchain foundation to serve entrepreneurs and businesses looking to leverage blockchain technology to bolster the success of their ideas.
Though Komodo has created the world’s best and most innovative blockchain solutions (Agama, JUMBLr, HyperDEX, Blockchain Generator, dICO, dPOW, Smart Contracts and more), our research shows that navigating the world of blockchains can intimidate early adopters given its steep learning curve
Chainmakers’ mission is to streamline the process of deploying your own custom, independent blockchain(s), and to ensure that you have zero knowledge gaps on how to utilize Komodo’s end-to-end blockchain solutions to secure and accelerate the growth of your business today.
RedFOX Labs builds out and incubates market leading business models in emerging markets. Our unique build out incubator model enhances proven business models by refining, customising and integrating open source blockchain technologies, resulting in ready to launch, market leading applications.
Powered by the latest technology offerings from open source blockchain project Komodo Platform.
Our unique build-out incubator model delivers market leading, purpose built applications from the ground up.
We partner with industry experts to offer support, collaboration and commitment from beginning to end.
A fully scalable and customizable test bed for testing and developing your Komodo (KMD) based assetchains and Crypto-Conditions contracts, KMDLabs provides an incentivized test network, technical services and a support knowledge base.
KMDLabs’ ease of use and rapid deployment allow projects of any technical level or size a place to experiment with the depth of Komodo and Crypto-Conditions technology.
Testing is conducted on the KMDLabs fungible cluster. Additional fungible and non-fungible chains and clusters can be added as needed for more customized or private development. It is possible for these chains to be notarized to the Bitcoin blockchain through the main Komodo (KMD) chain using Komodo’s Delayed Proof of Work (dPoW).
Pungo has been around since 2017 and it's made of several companies in different jurisdictions, with a passionated team behind it.
As regulatory frameworks advance, we plan to work closely to keep everything compliant and find best opportunites.
We are focused on delivering the best product experience to the community and devoted to build fair & peer based economies.
With Pungo Cash you can send funds anywhere and deposit and withdraw funds directly in +35 countries
We are an association of people with a common interest in Komodo Platform and entrepreneurship. We are on a mission to help bootstrap small community projects and initiatives.
Many of us work full time in the blockchain industry, some even for the Komodo project.
We are all part of the great Komodo community and you can find us from the Discord channels.
The coming digitized world is all about entrepreneurship. Let us know about your project.


Pedestrian hospitalized with life-threatening injuries after being hit by car
by EndPlayBOSTON - A pedestrian was struck by a car in the area of Tremont Street and Whittier Street in Boston, local police confirmed to Boston 25 News. That victim is an elderly male and was hospitalized with life-threatening injuries.
>>>MORE:
The incident occurred around 4:30 p.m. on Saturday afternoon. The car involved in the crash did remain on scene, per police.
This story is developing and will be updated as more information becomes available.


A visual history spanning Google Challenge Scholarship to various hackathon achievements, those projects showcase the seamless integration of academic skills and practical application.
LinkedIn is the professional social networking implementation, which allows popoway to
connect more field experts, and enhance a delicate career portfolio.


Home
Todo list API
Hero's Journey JS RPG
Draquix's Home Server Home Page At Home
Inspirational Message or Epiphanous Statement:
Try stuff- it works, sometimes.


Spectral Analysis
Decomposing audio with algorithms
Spring 2019 - Audio Tech Talk Series
February 5, 2019
Frequency
Time Domain -> Frequency domain
Fourier Transform
But first we have to talk about correlation...
440 Hz sine wave
Corrleation between 440 Hz and 200 Hz
Corrleation between 440 Hz and 440 Hz
start
This is (almost) the Fourier Transform
One more question?
Frequency Analysis & Correction
Pitch Shifting
Pitch shifting our piano example...
Time Stretching
Fast Fourier Transform
| Samples | Length | N^2 | N/2*log2(N) | ratio |
| 64 | 0.001 | 4,096 | 192 | 21.3 |
| 256 | 0.006 | 65,536 | 1,024 | 64.0 |
| 1,024 | 0.023 | 1,048,576 | 5,120 | 204.8 |
| 4,096 | 0.093 | 16,777,216 | 24,576 | 682.7 |
| 16,384 | 0.372 | 268,435,456 | 114,688 | 2,340.6 |
| 65,536 | 1.486 | 4,294,967,296 | 524,288 | 8,192.0 |
| 131,072 | 2.972 | 17,179,869,184 | 1,114,112 | 15,420.2 |
* Assuming 44.1 kHz sampling rate
Next Talk - February 19
Audio Myths
Dispelling common misconceptions and misleading truths


Note: The fields with * are required.You can not edit your profile and submit changes leaving the fields blank.
Note: The fields with * are required.Please be carefull when changing your password and make sure you don't forget it.


Toggle navigation
nativejson-benchmark
Benchmark
Section
Developed by
Milo Yip
<EMAIL_ADDRESS>Source CSV
Type,Library,Filename,Time (ms),Memory (byte),MemoryPeak (byte),AllocCount,FileSize (byte) 1. Parse,ArduinoJson (C++),canada.json,532.670000,7319616,7319616,19,0 1. Parse,ArduinoJson (C++),citm_catalog.json,5.605000,3530816,3530816,17,0 1. Parse,ArduinoJson (C++),twitter.json,3.146000,1429568,1429568,16,0 2. Stringify,ArduinoJson (C++),canada.json,168.789000,2252816,6447120,20,0 2. Stringify,ArduinoJson (C++),citm_catalog.json,18.417000,499728,1024016,17,0 2. Stringify,ArduinoJson (C++),twitter.json,16.412000,524304,1048592,17,0 3. Prettify,ArduinoJson (C++),canada.json,309.903000,5599248,13987856,21,0 3. Prettify,ArduinoJson (C++),citm_catalog.json,47.199000,2101264,4198416,19,0 3. Prettify,ArduinoJson (C++),twitter.json,26.918000,647184,1695760,18,0 4. Statistics,ArduinoJson (C++),canada.json,0.652000,0,0,0,0 4. Statistics,ArduinoJson (C++),citm_catalog.json,0.423000,0,0,0,0 4. Statistics,ArduinoJson (C++),twitter.json,0.299000,0,0,0,0 7. Code size,ArduinoJson (C++),jsonstat,0,0,0,0,40968 1. Parse,CAJUN (C++),canada.json,1421.572000,234160112,495050688,3837856,0 1. Parse,CAJUN (C++),citm_catalog.json,215.660000,8918208,29031504,641280,0 1. Parse,CAJUN (C++),twitter.json,79.111000,2309616,8273408,249868,0 2. Stringify,CAJUN (C++),canada.json,175.386000,4272144,12660752,22,0 2. Stringify,CAJUN (C++),citm_catalog.json,25.404000,892944,1941520,3784,0 2. Stringify,CAJUN (C++),twitter.json,22.863000,892944,1941520,7244,0 4. Statistics,CAJUN (C++),canada.json,4.905000,0,0,0,0 4. Statistics,CAJUN (C++),citm_catalog.json,0.402000,0,0,0,0 4. Statistics,CAJUN (C++),twitter.json,0.197000,0,0,0,0 7. Code size,CAJUN (C++),jsonstat,0,0,0,0,85376 1. Parse,C++ REST SDK (C++11),canada.json,181.466000,3894176,3894208,392464,0 1. Parse,C++ REST SDK (C++11),citm_catalog.json,23.440000,1466064,1466080,73089,0 1. Parse,C++ REST SDK (C++11),twitter.json,10.665000,1135936,1136064,31411,0 2. Stringify,C++ REST SDK (C++11),canada.json,111.740000,2252816,10489872,38,0 2. Stringify,C++ REST SDK (C++11),citm_catalog.json,6.153000,892944,2048016,743,0 2. Stringify,C++ REST SDK (C++11),twitter.json,4.929000,499728,2048016,2620,0 4. Statistics,C++ REST SDK (C++11),canada.json,1.108000,0,32,1,0 4. Statistics,C++ REST SDK (C++11),citm_catalog.json,0.555000,0,64,719,0 4. Statistics,C++ REST SDK (C++11),twitter.json,0.714000,0,464,2594,0 7. Code size,C++ REST SDK (C++11),jsonstat,0,0,0,0,142828 1. Parse,cJSON (C),canada.json,23.887000,8024816,8024816,167192,0 1. Parse,cJSON (C),citm_catalog.json,8.050000,2265312,2265312,64383,0 1. Parse,cJSON (C),twitter.json,5.087000,1193440,1193440,32014,0 2. Stringify,cJSON (C),canada.json,73.641000,2101264,4354384,223241,0 2. Stringify,cJSON (C),citm_catalog.json,21.946000,655376,1204544,87274,0 2. Stringify,cJSON (C),twitter.json,9.836000,655376,1155488,30092,0 3. Prettify,cJSON (C),canada.json,73.787000,2101264,4354400,223241,0 3. Prettify,cJSON (C),citm_catalog.json,22.612000,790544,1742720,87274,0 3. Prettify,cJSON (C),twitter.json,10.134000,790544,1446352,30092,0 4. Statistics,cJSON (C),canada.json,0.696000,0,0,0,0 4. Statistics,cJSON (C),citm_catalog.json,0.322000,0,0,0,0 4. Statistics,cJSON (C),twitter.json,0.227000,0,0,0,0 7. Code size,cJSON (C),jsonstat,0,0,0,0,26684 1. Parse,dropbox/json11 (C++11),canada.json,112.421000,6707056,9025232,337437,0 1. Parse,dropbox/json11 (C++11),citm_catalog.json,22.632000,2620240,4722208,105189,0 1. Parse,dropbox/json11 (C++11),twitter.json,15.408000,1388512,2044416,56661,0 2. Stringify,dropbox/json11 (C++11),canada.json,107.253000,4194320,6295568,19,0 2. Stringify,dropbox/json11 (C++11),citm_catalog.json,6.565000,1048592,1703952,17,0 2. Stringify,dropbox/json11 (C++11),twitter.json,5.011000,655376,1155088,16,0 4. Statistics,dropbox/json11 (C++11),canada.json,1.086000,0,0,0,0 4. Statistics,dropbox/json11 (C++11),citm_catalog.json,0.441000,0,0,0,0 4. Statistics,dropbox/json11 (C++11),twitter.json,0.290000,0,0,0,0 7. Code size,dropbox/json11 (C++11),jsonstat,0,0,0,0,75248 1. Parse,mikeando/FastJson (C++),canada.json,19.598000,5448096,7701248,22,0 1. Parse,mikeando/FastJson (C++),citm_catalog.json,8.411000,1790080,3891680,22,0 1. Parse,mikeando/FastJson (C++),twitter.json,3.720000,892544,1548544,24,0 2. Stringify,mikeando/FastJson (C++),canada.json,101.479000,2252816,2252816,2,0 2. Stringify,mikeando/FastJson (C++),citm_catalog.json,7.787000,655376,655376,2,0 2. Stringify,mikeando/FastJson (C++),twitter.json,2.841000,655376,655376,2,0 4. Statistics,mikeando/FastJson (C++),canada.json,0.710000,0,0,0,0 4. Statistics,mikeando/FastJson (C++),citm_catalog.json,0.236000,0,0,0,0 4. Statistics,mikeando/FastJson (C++),twitter.json,0.140000,0,0,0,0 7. Code size,mikeando/FastJson (C++),jsonstat,0,0,0,0,58292 1. Parse,gason (C++11),canada.json,7.270000,4939808,4939808,658,0 1. Parse,gason (C++11),citm_catalog.json,2.698000,2711584,2711584,151,0 1. Parse,gason (C++11),twitter.json,1.564000,880672,880672,57,0 2. Stringify,gason (C++11),canada.json,47.595000,1298448,3399696,19,0 2. Stringify,gason (C++11),citm_catalog.json,13.670000,655376,1703952,18,0 2. Stringify,gason (C++11),twitter.json,8.212000,499728,1024016,17,0 3. Prettify,gason (C++11),canada.json,106.895000,7319568,15708176,223242,0 3. Prettify,gason (C++11),citm_catalog.json,25.968000,1802256,4055056,49498,0 3. Prettify,gason (C++11),twitter.json,11.686000,770064,1818640,15285,0 4. Statistics,gason (C++11),canada.json,0.623000,0,0,0,0 4. Statistics,gason (C++11),citm_catalog.json,0.340000,0,0,0,0 4. Statistics,gason (C++11),twitter.json,0.269000,0,0,0,0 7. Code size,gason (C++11),jsonstat,0,0,0,0,20272 1. Parse,Jansson (C),canada.json,132.357000,5680288,5680336,224392,0 1. Parse,Jansson (C),citm_catalog.json,37.783000,3077136,3077216,111230,0 1. Parse,Jansson (C),twitter.json,17.994000,1219648,1220192,43822,0 2. Stringify,Jansson (C),canada.json,111.437000,2363408,6557712,21,0 2. Stringify,Jansson (C),citm_catalog.json,7.107000,655376,1703952,19,0 2. Stringify,Jansson (C),twitter.json,4.208000,655376,1179664,18,0 3. Prettify,Jansson (C),canada.json,140.293000,8273936,16924688,22,0 3. Prettify,Jansson (C),citm_catalog.json,11.234000,2252816,4354064,20,0 3. Prettify,Jansson (C),twitter.json,5.537000,770064,1818640,19,0 4. Statistics,Jansson (C),canada.json,1.121000,0,0,0,0 4. Statistics,Jansson (C),citm_catalog.json,1.006000,0,0,0,0 4. Statistics,Jansson (C),twitter.json,0.419000,0,0,0,0 7. Code size,Jansson (C),jsonstat,0,0,0,0,60232 1. Parse,JeayeSON (C++14),canada.json,189.496000,4414880,15132832,499017,0 1. Parse,JeayeSON (C++14),citm_catalog.json,67.289000,2047792,8396112,253298,0 1. Parse,JeayeSON (C++14),twitter.json,35.554000,1262112,4441632,129268,0 2. Stringify,JeayeSON (C++14),canada.json,55.620000,1044496,2093072,20,0 2. Stringify,JeayeSON (C++14),citm_catalog.json,11.683000,655376,1179664,4502,0 2. Stringify,JeayeSON (C++14),twitter.json,8.966000,655376,1179664,10409,0 4. Statistics,JeayeSON (C++14),canada.json,0.873000,0,0,0,0 4. Statistics,JeayeSON (C++14),citm_catalog.json,0.350000,0,0,0,0 4. Statistics,JeayeSON (C++14),twitter.json,0.253000,0,0,0,0 7. Code size,JeayeSON (C++14),jsonstat,0,0,0,0,75764 1. Parse,JsonBox (C++),canada.json,463.958000,4334304,9059312,974652,0 1. Parse,JsonBox (C++),citm_catalog.json,101.744000,2032976,6538624,261150,0 1. Parse,JsonBox (C++),twitter.json,47.171000,1231040,2904000,102061,0 2. Stringify,JsonBox (C++),canada.json,355.647000,2252816,6447136,24,0 2. Stringify,JsonBox (C++),citm_catalog.json,66.928000,499728,1134608,9264,0 2. Stringify,JsonBox (C++),twitter.json,47.882000,499728,1134608,22632,0 3. Prettify,JsonBox (C++),canada.json,271.655000,3923984,8118288,24,0 3. Prettify,JsonBox (C++),citm_catalog.json,45.456000,1728528,2777104,9265,0 3. Prettify,JsonBox (C++),twitter.json,35.158000,634896,1683472,22633,0 4. Statistics,JsonBox (C++),canada.json,0.659000,0,0,0,0 4. Statistics,JsonBox (C++),citm_catalog.json,0.277000,0,0,0,0 4. Statistics,JsonBox (C++),twitter.json,0.206000,0,0,0,0 7. Code size,JsonBox (C++),jsonstat,0,0,0,0,136068 1. Parse,jsoncons (C++),canada.json,894.031000,3378688,23461424,3835292,0 1. Parse,jsoncons (C++),citm_catalog.json,686.138000,1231088,7518784,3574418,0 1. Parse,jsoncons (C++),twitter.json,177.491000,918816,4057952,741190,0 2. Stringify,jsoncons (C++),canada.json,229.688000,3923984,6176880,222183,0 2. Stringify,jsoncons (C++),citm_catalog.json,14.564000,503824,1138800,21,0 2. Stringify,jsoncons (C++),twitter.json,14.355000,503824,1138896,24,0 3. Prettify,jsoncons (C++),canada.json,230.315000,3923984,6176880,222183,0 3. Prettify,jsoncons (C++),citm_catalog.json,14.411000,503824,1028208,21,0 3. Prettify,jsoncons (C++),twitter.json,14.073000,503824,1028304,24,0 4. Statistics,jsoncons (C++),canada.json,1.444000,0,32,1,0 4. Statistics,jsoncons (C++),citm_catalog.json,1.462000,0,64,719,0 4. Statistics,jsoncons (C++),twitter.json,0.885000,0,464,2594,0 7. Code size,jsoncons (C++),jsonstat,0,0,0,0,88548 1. Parse,JsonCpp (C++),canada.json,148.750000,8921568,13431296,223254,0 1. Parse,JsonCpp (C++),citm_catalog.json,21.822000,2611984,7121728,115700,0 1. Parse,JsonCpp (C++),twitter.json,13.317000,1245120,2519024,54411,0 2. Stringify,JsonCpp (C++),canada.json,132.334000,2252816,6447280,110290,0 2. Stringify,JsonCpp (C++),citm_catalog.json,12.956000,634896,1269776,19990,0 2. Stringify,JsonCpp (C++),twitter.json,10.511000,634896,1269776,20794,0 4. Statistics,JsonCpp (C++),canada.json,2.274000,0,32,1,0 4. Statistics,JsonCpp (C++),citm_catalog.json,0.617000,0,64,719,0 4. Statistics,JsonCpp (C++),twitter.json,0.777000,0,464,2594,0 7. Code size,JsonCpp (C++),jsonstat,0,0,0,0,242528 1. Parse,json-c (C),canada.json,174.800000,19890720,19891856,390651,0 1. Parse,json-c (C),citm_catalog.json,30.688000,7220608,7221776,131793,0 1. Parse,json-c (C),twitter.json,12.658000,1923120,1924736,49446,0 2. Stringify,json-c (C),canada.json,27.581000,6447136,6447136,21,0 2. Stringify,json-c (C),citm_catalog.json,16.773000,1048608,1048608,18,0 2. Stringify,json-c (C),twitter.json,7.905000,1048608,1048608,18,0 3. Prettify,json-c (C),canada.json,55.531000,13762592,13762592,22,0 3. Prettify,json-c (C),citm_catalog.json,23.009000,4349984,4349984,20,0 3. Prettify,json-c (C),twitter.json,9.279000,1683488,1683488,19,0 4. Statistics,json-c (C),canada.json,3.729000,0,0,0,0 4. Statistics,json-c (C),citm_catalog.json,0.704000,0,0,0,0 4. Statistics,json-c (C),twitter.json,0.243000,0,0,0,0 7. Code size,json-c (C),jsonstat,0,0,0,0,52316 1. Parse,JSON Spirit (C++),canada.json,143.546000,5772384,8310720,435435,0 1. Parse,JSON Spirit (C++),citm_catalog.json,110.566000,1780048,5730592,312738,0 1. Parse,JSON Spirit (C++),twitter.json,42.245000,1075712,2820992,108189,0 2. Stringify,JSON Spirit (C++),canada.json,132.633000,2252816,6447120,22,0 2. Stringify,JSON Spirit (C++),citm_catalog.json,13.386000,524304,1048592,4779,0 2. Stringify,JSON Spirit (C++),twitter.json,15.265000,692240,1740816,14003,0 3. Prettify,JSON Spirit (C++),canada.json,198.291000,8273936,16662544,23,0 3. Prettify,JSON Spirit (C++),citm_catalog.json,29.087000,2007056,4104208,4781,0 3. Prettify,JSON Spirit (C++),twitter.json,18.299000,2007056,3055632,14003,0 4. Statistics,JSON Spirit (C++),canada.json,1.188000,0,0,0,0 4. Statistics,JSON Spirit (C++),citm_catalog.json,0.483000,0,0,0,0 4. Statistics,JSON Spirit (C++),twitter.json,0.267000,0,0,0,0 7. Code size,JSON Spirit (C++),jsonstat,0,0,0,0,258552 1. Parse,hjiang/JSON++ (C++),canada.json,304.782000,7465904,11971504,448011,0 1. Parse,hjiang/JSON++ (C++),citm_catalog.json,60.210000,2737504,6997344,101193,0 1. Parse,hjiang/JSON++ (C++),twitter.json,25.077000,1459360,3142848,55239,0 2. Stringify,hjiang/JSON++ (C++),canada.json,405.416000,3981328,12157008,504127,0 2. Stringify,hjiang/JSON++ (C++),citm_catalog.json,76.817000,1024016,3866640,161388,0 2. Stringify,hjiang/JSON++ (C++),twitter.json,31.550000,577552,2650640,59268,0 4. Statistics,hjiang/JSON++ (C++),canada.json,0.772000,0,0,0,0 4. Statistics,hjiang/JSON++ (C++),citm_catalog.json,0.370000,0,0,0,0 4. Statistics,hjiang/JSON++ (C++),twitter.json,0.227000,0,0,0,0 7. Code size,hjiang/JSON++ (C++),jsonstat,0,0,0,0,92372 1. Parse,Jzon (C++),canada.json,194.391000,11996512,18257104,612962,0 1. Parse,Jzon (C++),citm_catalog.json,58.311000,2034064,6041024,86205,0 1. Parse,Jzon (C++),twitter.json,31.390000,1219488,3313728,62222,0 2. Stringify,Jzon (C++),canada.json,44.812000,2252816,6447152,110284,0 2. Stringify,Jzon (C++),citm_catalog.json,10.657000,503824,1527824,1698,0 2. Stringify,Jzon (C++),twitter.json,8.988000,503824,1527824,5974,0 3. Prettify,Jzon (C++),canada.json,89.538000,8273936,16662544,333506,0 3. Prettify,Jzon (C++),citm_catalog.json,22.116000,1990672,4243472,59874,0 3. Prettify,Jzon (C++),twitter.json,11.919000,1024016,2072624,21988,0 4. Statistics,Jzon (C++),canada.json,1.047000,0,32,1,0 4. Statistics,Jzon (C++),citm_catalog.json,0.478000,0,64,719,0 4. Statistics,Jzon (C++),twitter.json,0.810000,0,464,2594,0 7. Code size,Jzon (C++),jsonstat,0,0,0,0,109112 1. Parse,Nlohmann (C++11),canada.json,90.645000,3813312,8318928,170260,0 1. Parse,Nlohmann (C++11),citm_catalog.json,16.732000,1884592,6128080,63615,0 1. Parse,Nlohmann (C++11),twitter.json,12.744000,1155776,3228384,40532,0 2. Stringify,Nlohmann (C++11),canada.json,283.443000,1581072,7897168,399891,0 2. Stringify,Nlohmann (C++11),citm_catalog.json,29.994000,688144,1687584,86383,0 2. Stringify,Nlohmann (C++11),twitter.json,16.138000,499728,1655136,35133,0 3. Prettify,Nlohmann (C++11),canada.json,436.707000,7602192,22806624,746819,0 3. Prettify,Nlohmann (C++11),citm_catalog.json,42.646000,1728528,6049312,138885,0 3. Prettify,Nlohmann (C++11),twitter.json,20.623000,1728528,3268624,50688,0 4. Statistics,Nlohmann (C++11),canada.json,1.172000,0,32,2,0 4. Statistics,Nlohmann (C++11),citm_catalog.json,1.180000,0,64,4485,0 4. Statistics,Nlohmann (C++11),twitter.json,1.840000,0,464,9820,0 7. Code size,Nlohmann (C++11),jsonstat,0,0,0,0,41432 1. Parse,Parson (C),canada.json,108.203000,4777696,4778016,336060,0 1. Parse,Parson (C),citm_catalog.json,24.165000,1846400,1846512,185585,0 1. Parse,Parson (C),twitter.json,10.571000,952192,952304,72477,0 4. Statistics,Parson (C),canada.json,3.238000,0,0,0,0 4. Statistics,Parson (C),citm_catalog.json,1.592000,0,0,0,0 4. Statistics,Parson (C),twitter.json,1.417000,0,0,0,0 7. Code size,Parson (C),jsonstat,0,0,0,0,37996 1. Parse,PicoJSON (C++),canada.json,170.154000,3787984,3977136,545672,0 1. Parse,PicoJSON (C++),citm_catalog.json,48.661000,1862944,1862976,226421,0 1. Parse,PicoJSON (C++),twitter.json,20.609000,1174656,1533568,87648,0 2. Stringify,PicoJSON (C++),canada.json,141.081000,4194320,6447152,110281,0 2. Stringify,PicoJSON (C++),citm_catalog.json,8.246000,770064,1032208,259,0 2. Stringify,PicoJSON (C++),twitter.json,4.830000,770064,1032208,214,0 4. Statistics,PicoJSON (C++),canada.json,0.679000,0,0,0,0 4. Statistics,PicoJSON (C++),citm_catalog.json,0.295000,0,0,0,0 4. Statistics,PicoJSON (C++),twitter.json,0.202000,0,0,0,0 7. Code size,PicoJSON (C++),jsonstat,0,0,0,0,34472 1. Parse,RapidJSON_AutoUTF (C++),canada.json,15.929000,2995344,3339408,59,0 1. Parse,RapidJSON_AutoUTF (C++),citm_catalog.json,9.348000,1122960,1131152,27,0 1. Parse,RapidJSON_AutoUTF (C++),twitter.json,6.834000,792720,798352,21,0 2. Stringify,RapidJSON_AutoUTF (C++),canada.json,32.623000,2875440,2875712,28,0 2. Stringify,RapidJSON_AutoUTF (C++),citm_catalog.json,3.466000,569392,569664,24,0 2. Stringify,RapidJSON_AutoUTF (C++),twitter.json,3.268000,569392,569664,24,0 3. Prettify,RapidJSON_AutoUTF (C++),canada.json,63.208000,9699376,9699648,31,0 3. Prettify,RapidJSON_AutoUTF (C++),citm_catalog.json,9.463000,1916976,1917248,27,0 3. Prettify,RapidJSON_AutoUTF (C++),twitter.json,4.803000,852016,852288,25,0 4. Statistics,RapidJSON_AutoUTF (C++),canada.json,0.659000,0,0,0,0 4. Statistics,RapidJSON_AutoUTF (C++),citm_catalog.json,0.284000,0,0,0,0 4. Statistics,RapidJSON_AutoUTF (C++),twitter.json,0.167000,0,0,0,0 5. Sax Round-trip,RapidJSON_AutoUTF (C++),canada.json,46.145000,32,2875984,30,0 5. Sax Round-trip,RapidJSON_AutoUTF (C++),citm_catalog.json,12.606000,32,569936,26,0 5. Sax Round-trip,RapidJSON_AutoUTF (C++),twitter.json,9.691000,32,570704,28,0 6. SaxStatistics,RapidJSON_AutoUTF (C++),canada.json,16.325000,0,272,2,0 6. SaxStatistics,RapidJSON_AutoUTF (C++),citm_catalog.json,8.899000,0,272,2,0 6. SaxStatistics,RapidJSON_AutoUTF (C++),twitter.json,6.506000,0,1040,4,0 7. Code size,RapidJSON_AutoUTF (C++),jsonstat,0,0,0,0,33892 1. Parse,RapidJSON_FullPrec (C++),canada.json,24.981000,2892928,3191936,59,0 1. Parse,RapidJSON_FullPrec (C++),citm_catalog.json,4.253000,1122944,1131136,27,0 1. Parse,RapidJSON_FullPrec (C++),twitter.json,3.397000,792704,798336,21,0 2. Stringify,RapidJSON_FullPrec (C++),canada.json,24.387000,2875440,2875712,28,0 2. Stringify,RapidJSON_FullPrec (C++),citm_catalog.json,1.891000,569392,569664,24,0 2. Stringify,RapidJSON_FullPrec (C++),twitter.json,1.758000,569392,569664,24,0 3. Prettify,RapidJSON_FullPrec (C++),canada.json,29.887000,9699376,9699648,31,0 3. Prettify,RapidJSON_FullPrec (C++),citm_catalog.json,3.147000,1916976,1917248,27,0 3. Prettify,RapidJSON_FullPrec (C++),twitter.json,2.258000,852016,852288,25,0 4. Statistics,RapidJSON_FullPrec (C++),canada.json,0.660000,0,0,0,0 4. Statistics,RapidJSON_FullPrec (C++),citm_catalog.json,0.267000,0,0,0,0 4. Statistics,RapidJSON_FullPrec (C++),twitter.json,0.174000,0,0,0,0 5. Sax Round-trip,RapidJSON_FullPrec (C++),canada.json,46.947000,2875440,2875984,30,0 5. Sax Round-trip,RapidJSON_FullPrec (C++),citm_catalog.json,5.561000,569392,569936,26,0 5. Sax Round-trip,RapidJSON_FullPrec (C++),twitter.json,4.704000,569392,570704,28,0 6. SaxStatistics,RapidJSON_FullPrec (C++),canada.json,24.180000,0,272,2,0 6. SaxStatistics,RapidJSON_FullPrec (C++),citm_catalog.json,3.611000,0,272,2,0 6. SaxStatistics,RapidJSON_FullPrec (C++),twitter.json,3.022000,0,1040,4,0 7. Code size,RapidJSON_FullPrec (C++),jsonstat,0,0,0,0,31232 1. Parse,RapidJSON_Insitu (C++),canada.json,10.373000,5792896,6091904,60,0 1. Parse,RapidJSON_Insitu (C++),citm_catalog.json,3.298000,3932288,3940480,27,0 1. Parse,RapidJSON_Insitu (C++),twitter.json,2.031000,1097344,1102976,17,0 2. Stringify,RapidJSON_Insitu (C++),canada.json,24.740000,2875440,2875712,28,0 2. Stringify,RapidJSON_Insitu (C++),citm_catalog.json,1.781000,569392,569664,24,0 2. Stringify,RapidJSON_Insitu (C++),twitter.json,1.727000,569392,569664,24,0 3. Prettify,RapidJSON_Insitu (C++),canada.json,30.060000,9699376,9699648,31,0 3. Prettify,RapidJSON_Insitu (C++),citm_catalog.json,3.263000,1916976,1917248,27,0 3. Prettify,RapidJSON_Insitu (C++),twitter.json,2.159000,852016,852288,25,0 4. Statistics,RapidJSON_Insitu (C++),canada.json,0.727000,0,0,0,0 4. Statistics,RapidJSON_Insitu (C++),citm_catalog.json,0.287000,0,0,0,0 4. Statistics,RapidJSON_Insitu (C++),twitter.json,0.152000,0,0,0,0 5. Sax Round-trip,RapidJSON_Insitu (C++),canada.json,32.864000,2875440,5751136,30,0 5. Sax Round-trip,RapidJSON_Insitu (C++),citm_catalog.json,4.746000,569392,3445088,26,0 5. Sax Round-trip,RapidJSON_Insitu (C++),twitter.json,3.518000,569392,1204576,26,0 6. SaxStatistics,RapidJSON_Insitu (C++),canada.json,8.512000,0,2875424,2,0 6. SaxStatistics,RapidJSON_Insitu (C++),citm_catalog.json,2.667000,0,2875424,2,0 6. SaxStatistics,RapidJSON_Insitu (C++),twitter.json,1.891000,0,634912,2,0 7. Code size,RapidJSON_Insitu (C++),jsonstat,0,0,0,0,31232 1. Parse,RapidJSON (C++),canada.json,9.122000,2892928,3191936,59,0 1. Parse,RapidJSON (C++),citm_catalog.json,3.976000,1122944,1131136,27,0 1. Parse,RapidJSON (C++),twitter.json,3.397000,792704,798336,21,0 2. Stringify,RapidJSON (C++),canada.json,23.978000,2875440,2875712,28,0 2. Stringify,RapidJSON (C++),citm_catalog.json,1.827000,569392,569664,24,0 2. Stringify,RapidJSON (C++),twitter.json,1.702000,569392,569664,24,0 3. Prettify,RapidJSON (C++),canada.json,29.934000,9699376,9699648,31,0 3. Prettify,RapidJSON (C++),citm_catalog.json,3.113000,1916976,1917248,27,0 3. Prettify,RapidJSON (C++),twitter.json,2.199000,852016,852288,25,0 4. Statistics,RapidJSON (C++),canada.json,0.728000,0,0,0,0 4. Statistics,RapidJSON (C++),citm_catalog.json,0.263000,0,0,0,0 4. Statistics,RapidJSON (C++),twitter.json,0.158000,0,0,0,0 5. Sax Round-trip,RapidJSON (C++),canada.json,30.646000,2875440,2875984,30,0 5. Sax Round-trip,RapidJSON (C++),citm_catalog.json,5.393000,569392,569936,26,0 5. Sax Round-trip,RapidJSON (C++),twitter.json,4.660000,569392,570704,28,0 6. SaxStatistics,RapidJSON (C++),canada.json,7.732000,0,272,2,0 6. SaxStatistics,RapidJSON (C++),citm_catalog.json,3.326000,0,272,2,0 6. SaxStatistics,RapidJSON (C++),twitter.json,2.969000,0,1040,4,0 7. Code size,RapidJSON (C++),jsonstat,0,0,0,0,31232 1. Parse,sajson (C++),canada.json,10.040000,11259968,11259968,4,0 1. Parse,sajson (C++),citm_catalog.json,3.789000,9162816,9162816,4,0 1. Parse,sajson (C++),twitter.json,1.580000,3162176,3162176,4,0 4. Statistics,sajson (C++),canada.json,0.899000,0,0,0,0 4. Statistics,sajson (C++),citm_catalog.json,0.296000,0,0,0,0 4. Statistics,sajson (C++),twitter.json,0.186000,0,0,0,0 7. Code size,sajson (C++),jsonstat,0,0,0,0,34656 1. Parse,SimpleJSON (C++),canada.json,55.865000,11824864,20864304,337489,0 1. Parse,SimpleJSON (C++),citm_catalog.json,43.837000,4493696,11404720,230280,0 1. Parse,SimpleJSON (C++),twitter.json,31.004000,2782400,5310320,137659,0 2. Stringify,SimpleJSON (C++),canada.json,336.161000,3223568,18936048,615151,0 2. Stringify,SimpleJSON (C++),citm_catalog.json,61.234000,1048592,6238352,189864,0 2. Stringify,SimpleJSON (C++),twitter.json,27.883000,2252816,7212048,78359,0 4. Statistics,SimpleJSON (C++),canada.json,0.983000,0,0,0,0 4. Statistics,SimpleJSON (C++),citm_catalog.json,0.395000,0,0,0,0 4. Statistics,SimpleJSON (C++),twitter.json,0.283000,0,0,0,0 7. Code size,SimpleJSON (C++),jsonstat,0,0,0,0,54192 1. Parse,strdup (C),canada.json,0.376000,2252816,2252816,2,0 1. Parse,strdup (C),citm_catalog.json,0.247000,2252816,2252816,2,0 1. Parse,strdup (C),twitter.json,0.042000,634896,634896,2,0 2. Stringify,strdup (C),canada.json,0.167000,3223568,3223568,2,0 2. Stringify,strdup (C),citm_catalog.json,0.118000,3223568,3223568,2,0 2. Stringify,strdup (C),twitter.json,0.042000,917520,917520,2,0 7. Code size,strdup (C),jsonstat,0,0,0,0,15632 1. Parse,udp/json-parser (C),canada.json,46.344000,6474656,6474656,223233,0 1. Parse,udp/json-parser (C),citm_catalog.json,22.266000,1910400,1910400,51205,0 1. Parse,udp/json-parser (C),twitter.json,8.056000,1196256,1196256,20237,0 2. Stringify,udp/json-parser (C),canada.json,67.078000,1048592,1048592,2,0 2. Stringify,udp/json-parser (C),citm_catalog.json,8.741000,634896,634896,2,0 2. Stringify,udp/json-parser (C),twitter.json,2.305000,634896,634896,2,0 3. Prettify,udp/json-parser (C),canada.json,74.425000,7958544,7958544,2,0 3. Prettify,udp/json-parser (C),citm_catalog.json,9.341000,2252816,2252816,2,0 3. Prettify,udp/json-parser (C),twitter.json,2.431000,917520,917520,2,0 4. Statistics,udp/json-parser (C),canada.json,0.684000,0,0,0,0 4. Statistics,udp/json-parser (C),citm_catalog.json,0.273000,0,0,0,0 4. Statistics,udp/json-parser (C),twitter.json,0.163000,0,0,0,0 7. Code size,udp/json-parser (C),jsonstat,0,0,0,0,34668 1. Parse,ujson4c (C),canada.json,9.233000,4579344,13586448,10,0 1. Parse,ujson4c (C),citm_catalog.json,3.409000,4579344,11489296,10,0 1. Parse,ujson4c (C),twitter.json,1.856000,2326544,5550096,9,0 4. Statistics,ujson4c (C),canada.json,3.211000,0,0,0,0 4. Statistics,ujson4c (C),citm_catalog.json,0.684000,0,0,0,0 4. Statistics,ujson4c (C),twitter.json,0.289000,0,0,0,0 7. Code size,ujson4c (C),jsonstat,0,0,0,0,26448 1. Parse,Vinenthz/libjson (C),canada.json,111.056000,3801696,3818352,334389,0 1. Parse,Vinenthz/libjson (C),citm_catalog.json,30.599000,1724528,1741184,153901,0 1. Parse,Vinenthz/libjson (C),twitter.json,12.995000,1035408,1052064,72620,0 2. Stringify,Vinenthz/libjson (C),canada.json,104.103000,4194320,4194320,13,0 2. Stringify,Vinenthz/libjson (C),citm_catalog.json,7.044000,524304,524304,10,0 2. Stringify,Vinenthz/libjson (C),twitter.json,5.357000,524304,524304,10,0 3. Prettify,Vinenthz/libjson (C),canada.json,103.777000,4194320,4194320,13,0 3. Prettify,Vinenthz/libjson (C),citm_catalog.json,7.063000,524304,524304,10,0 3. Prettify,Vinenthz/libjson (C),twitter.json,5.270000,524304,524304,10,0 4. Statistics,Vinenthz/libjson (C),canada.json,0.659000,0,0,0,0 4. Statistics,Vinenthz/libjson (C),citm_catalog.json,0.319000,0,0,0,0 4. Statistics,Vinenthz/libjson (C),twitter.json,0.214000,0,0,0,0 5. Sax Round-trip,Vinenthz/libjson (C),canada.json,25.240000,4194320,4198672,15,0 5. Sax Round-trip,Vinenthz/libjson (C),citm_catalog.json,18.360000,524304,528656,12,0 5. Sax Round-trip,Vinenthz/libjson (C),twitter.json,9.591000,524304,528656,12,0 6. SaxStatistics,Vinenthz/libjson (C),canada.json,19.555000,0,4352,2,0 6. SaxStatistics,Vinenthz/libjson (C),citm_catalog.json,14.491000,0,4352,2,0 6. SaxStatistics,Vinenthz/libjson (C),twitter.json,5.253000,0,4352,2,0 7. Code size,Vinenthz/libjson (C),jsonstat,0,0,0,0,25656 1. Parse,YAJL (C),canada.json,124.600000,9994784,9997104,501567,0 1. Parse,YAJL (C),citm_catalog.json,27.971000,2324288,2328656,189685,0 1. Parse,YAJL (C),twitter.json,11.259000,1135104,1139472,77047,0 2. Stringify,YAJL (C),canada.json,121.842000,4198944,4198944,15,0 2. Stringify,YAJL (C),citm_catalog.json,6.004000,528928,528928,12,0 2. Stringify,YAJL (C),twitter.json,3.000000,528928,528928,12,0 3. Prettify,YAJL (C),canada.json,151.589000,16781856,16781856,17,0 3. Prettify,YAJL (C),citm_catalog.json,13.144000,2101792,2101792,14,0 3. Prettify,YAJL (C),twitter.json,4.362000,1053216,1053216,13,0 4. Statistics,YAJL (C),canada.json,0.908000,0,0,0,0 4. Statistics,YAJL (C),citm_catalog.json,0.358000,0,0,0,0 4. Statistics,YAJL (C),twitter.json,0.245000,0,0,0,0 5. Sax Round-trip,YAJL (C),canada.json,195.429000,4198944,4203312,22,0 5. Sax Round-trip,YAJL (C),citm_catalog.json,14.561000,528928,533296,19,0 5. Sax Round-trip,YAJL (C),twitter.json,5.891000,528928,533296,19,0 6. SaxStatistics,YAJL (C),canada.json,75.883000,0,4368,7,0 6. SaxStatistics,YAJL (C),citm_catalog.json,8.846000,0,4368,7,0 6. SaxStatistics,YAJL (C),twitter.json,2.943000,0,4368,7,0 7. Code size,YAJL (C),jsonstat,0,0,0,0,40116
JPEG
PNG
PDF
SVG


Quantum key distribution in superposition of "insecure" and "unneeded"
It's apparent that the physics lexicon has been dragged kicking and screaming out of the 19th century with a recent paper published in Nature Photonics titled "Hacking commercial quantum cryptography systems by tailored bright illumination." I never thought I would live to see the word "hacking" used in its proper context in a physics paper. But enough about physics lingo. What about the quantum encryption hacks alluded to by the title?
What we have is another paper demonstrating that the weak point of quantum encryption systems is the point where classical meets quantum. This is not the first hack of its kind, but, it is, in true hacker tradition, the first focused on a commercial system.
Quantum key distribution makes use of the laws of physics to provide a guaranteed level of security. Boiled down to its essential components, quantum systems must be measured to determine their state. In making the measurement, the system is forced into a certain state. An eavesdropper cannot listen in on a quantum communication without everyone else on the line knowing that someone is getting the goods on them. It's security heaven: the walls may have ears, but in the quantum world, they are fluorescent pink and scream I CAN HEAR YOU.
This vision of security nirvana breaks down when you consider that the act of measurement, at some point, involves taking a quantum property and making it classical. At that point, vulnerabilities creep into the system. In the work of Lydersen and coworkers, the point of attack is precisely that: the photodiodes used to detect light.
In quantum cryptographic systems, the quantum part is transferred in packets that consist of just a single photon. Photons, being kind of low on energy, are hard to detect, but there's a type of photodiode called an "avalanche photodiode" that is pretty good at it. In these photodiodes, a section of material has a voltage applied across it, giving it a large electric field. When the photon hits the photodiode, the material loses an electron. The field grabs hold of the electron and accelerates it, and, like every good drunk driver, the electron collides, freeing up more electrons. This sets off a chain reaction, where a single photon generates a large number of electrons that can be recorded as a click.
Avalanche photodiodes are not without their problems. Less than half of absorbed photons actually set off an avalanche, and, quite often, avalanches occur even when no photon is around to trigger them—these spurious clicks are called dark counts. Engineers get around the dark count problem by lowering the voltage and preventing avalanches until they expect a photon. There isn't much you can do about the detector not seeing every photon, except to know that the problem exists and keep sending photons until enough bits have been received. It is precisely these two properties that are used to listen in on quantum key distribution.
This is how the attack works. Eve—the eternal villain in security—gets in between Alice and Bob. Her first task is to get control over Bob's photodiodes. To do this, she sends a short light pulse along with a small amount of light that stays on all the time. The short pulse looks like a dark count and triggers the photodiode to switch the accelerating field off to stop the avalanche, while the continuous light field keeps the accelerating field off. Now Bob can't detect single photons, nor does he get dark counts, but, if a sufficiently intense light pulse hits his photodiodes, he will think he has seen a single photon. Eve is now ready to steal the key.
When Alice sends her single photons to Bob to create a private key, Eve imitates Bob and intercepts all of the photons. As she measures each photon, she resends the results of her measurement, not as a single photon, but as a bright light pulse. Bob, unaware of Eve, is randomly choosing from a set of measurements and then making that measurement on the light pulse. There are two possible choices here: he chooses the same measurement that Eve chose, or he chooses a different measurement.
If Bob chooses to make the same measurement as Eve, then Eve's light pulse ends up falling on a single photodetector, and, since it is bright, it makes that detector go click. If Bob chooses to make a different measurement, Eve's pulse gets split up so only half falls on each detector. The light is no longer bright enough to make either detector go click. The upshot is that Bob ends up with identical results to Eve, but half the measurements get thrown away, and Eve doesn't know which half.
You might think that would be a problem, but remember, the detectors don't always click anyway. Eve doesn't get every photon that Alice sends, and Bob doesn't get every bright pulse that Eve sends, but the whole system is rather inefficient anyway. Bob can never be absolutely sure how good his connection with Alice is, so Alice just keeps sending photons until Bob finally tells her to stop.
Every other step of the process is done in open classical communication, in which Eve can, well, eavesdrop on with ease. From Alice and Bob's open chatter, Eve can match her results with Bob's and from there it's game over. End result: Eve has an identical key to Bob and Alice.
So, how do you get around this? It's going to be difficult, because every solution involves interfering with the photodiode and making it less efficient. One could periodically divert the light to a non-amplified photodiode to check for the presence of a continuous light beam. Or one might be able to play with the amplification of the photodiode to try and distinguish a continuous light field from dark counts. But no matter what, it is pretty clear that quantum key distribution has only changed the playground, but not the game played between hackers and cryptographers.
Nature Photonics, 2010, DOI: 10.1038/nphoton.2010.214
User comments


Students with a plan for a secure future
We are a team of six students doing a Information Security minor at the Rotterdam University of Applied Sciences. We are all very enthusiastic about all of the projects and many of seek a future in security. Because we still seek a future in security we go the extra step to make a name for ourselves. We will be available whenever we do not have classes and are happy to be contacted about interesting projects even outside of the minor.
Contact us


Photos licensed under a
Creative Commons Attribution 2.0 Generic License
. All photos ©
A Guy Taking Pictures
.
Show


The one-stop-shop jQuery plugin for scrolling/swiping through all different kinds of content. On a desktop, tablet or smartphone, inside a HTML element or as a lightbox popup.
The plugin is responsive by default, so try resizing your browser.
This is a demo-page, for the full documentation and more examples, please visit TosRUs.frebsite.nl
Fire the plugin on a (set of) thumbnail(s) and it will create a lightbox popup with a slider for the enlarged images.
The plugin will automatically create a gallery from the targeted anchors.
This lightbox has been set up with a thumbnail pagination and inline-buttons:
$("#example a").tosrus({ buttons : "inline", pagination : { add : true, type : "thumbnails" } });
This lightbox has been set up so that the images fill up the entire screen and has captions and a bullet pagination:
$("#example a").tosrus({ pagination : { add : true }, caption : { add : true }, slides : { scale : "fill" } });
Besides images, you can also scroll through YouTube and Vimeo video's and any other type of HTML:
$("#example a").tosrus();
Fire the plugin on a "wrapper" with existing content, and the popup gallery is replaced with an inline slider.
Just like the lightbox popup, the slides in this slider are responsive by default.
This slider has been set up to show three slides and is infinite:
$("#example").tosrus({ infinite : true, slides : { visible : 3 } });
This slider has been set up to so that the images fill up the wrapper. It has no buttons, only a pagination:
$("#example").tosrus({ buttons : false, pagination : { add : true }, slides : { scale : "fill" } });
All images on this demo-page are hosted on lorempixel.com.
 To ensure the plugin would still recognize the url as an image, a custom filter was added to the $.tosrus.defaults.media.image
object.
Why cats?
Because everybody loves cats, right?


{% extends 'base.html' %} {% load pipeline %} {% comment %} Site-specific customizations ------------------------------ Should assume as little as possible since 404.html & 500.html utilize these template. It would be bad if a 500 error page threw a 500 error when trying to render... {% endcomment %} {% block head %}


Preparation time
1-2 hours
Cooking time
1 to 2 hours
Serves
Makes 12 cream horns
Dietary
Lime and dark chocolate are a lovely combination used to great effect in these cream horns.
For this recipe you will need 12 cream horn moulds and a piping bag fitted with a 1cm/½in star nozzle.
To make the puff pastry, combine the flour, salt and 30g/1oz butter in a freestanding mixer with the paddle attached. Add 110ml/3¾fl oz water and the lemon juice and knead to a smooth dough. Cover with cling film and rest in the fridge for 15 minutes.
 Flatten the butter using a rolling pin until it’s a square shape.
Once the dough has rested, roll out to a square large enough to envelope the butter. Place the butter in the middle of the dough at a 45 degree angle (so the corners of butter point to the edges of the dough). Wrap the butter in the dough and press to seal. Roll out into a long rectangle and fold the dough over itself into thirds (like folding a letter). Roll the dough out again then repeat the folding process. Cover with cling film and rest in the fridge for 15 minutes.
Repeat the rolling and folding process another 4 times. Rest the dough in the fridge for another 20 minutes.
Preheat the oven to 220C/200C Fan/Gas 7.
Once the dough has rested, roll it out to rectangle at least 45cm/17½in long and to a thickness of 5mm. Cut out long strips about 1½cm/3¾in thick and 45cm/17½in long.
Starting at the tip of a cream horn mould, wrap a strip of dough around in a spiral ensuring it overlaps. Repeat for all 12 moulds. Place on 2 baking sheets lined with non-stick baking paper. Bake for 15-20 minutes, until the pastry is crisp and golden-brown. Leave to cool a little before removing the moulds and placing on a wire rack to cool completely.
Melt the chocolate in a bowl suspended over a pan of simmering water then dip in the wide ends of the horns. Set aside to cool until the chocolate is set.
For the candied lime, bring a pan of water to the boil. Add the lime slices and boil for 2 minutes, then remove using a slotted spoon. Scrub the saucepan clean and rinse. Then replace the boiling water and lime slices and boil for 2 minutes. Repeat this process 4 times (this will remove any bitterness from the limes). After the final time, rinse out the pan and add the sugar and 100ml/3½fl oz water.
Add the lime slices and bring to a simmer. Cook for 20 minutes until the slices are translucent. Set aside to cool and then cut into quarters.
For the lime curd, mix the juice, zest, eggs, sugar and butter in a saucepan. Cook over a medium heat until smooth and thickened. Set aside to cool.
For the mascarpone Chantilly cream, whip the double cream to soft peaks, then whisk in the icing sugar. In a separate bowl, beat the mascarpone until smooth and then mix in 180g/6½oz of the curd. Fold the mascarpone mixture into the whipped cream. Spoon into a piping bag fitted with a 1cm/½in star nozzle.
To assemble the horns, place the pastry horns in mugs to help them stand upright. Fill them with the cream mixture and top with a piece of candied lime. Serve immediately.


{% extends "base_project.html" %} {% load compress humanize static hc_extras %} {% block title %}Pushover Integration for {{ site_name }}{% endblock %} {% block content %}
Pushover delivers real-time notifications on your Android, iPhone, iPad, Desktop, Android Wear and Apple Watch. You can set up {{ site_name }} to receive Pushover notifications in a few simple steps.


class View implements ArrayAccess, RenderableInterface
Methods
| void |
__construct(Environment $environment, EngineInterface $engine, string $view, string $path, array $data = array())
Create a new view instance. |
|
| string |
render(Closure $callback = null)
Get the string contents of the view. |
|
| array |
renderSections()
Get the sections of the rendered view. |
|
| View |
with(string|array $key, mixed $value = null)
Add a piece of data to the view. |
|
| View |
nest(string $key, string $view, array $data = array())
Add a view instance to the view data. |
|
| View |
withErrors(MessageProviderInterface|array $provider)
Add validation errors to the view. |
|
| Environment |
getEnvironment()
Get the view environment instance. |
|
| EngineInterface |
getEngine()
Get the view's rendering engine. |
|
| string |
getName()
Get the name of the view. |
|
| array |
getData()
Get the array of view data. |
|
| string |
getPath()
Get the path to the view file. |
|
| void |
setPath(string $path)
Set the path to the view. |
|
| bool |
offsetExists(string $key)
Determine if a piece of data is bound. |
|
| mixed |
offsetGet(string $key)
Get a piece of bound data to the view. |
|
| void |
offsetSet(string $key, mixed $value)
Set a piece of data on the view. |
|
| void |
offsetUnset(string $key)
Unset a piece of data from the view. |
|
| mixed |
__get($key)
Get a piece of data from the view. |
|
| void |
__set(string $key, mixed $value)
Set a piece of data on the view. |
|
| bool |
__isset(string $key)
Check if a piece of data is bound to the view. |
|
| bool |
__unset(string $key)
Remove a piece of bound data from the view. |
|
| View |
__call(string $method, array $parameters)
Dynamically bind parameters to the view. |
|
| string |
__toString()
Get the string contents of the view. |
Details
at line 58
public void
__construct(Environment $environment, EngineInterface $engine, string $view, string $path, array $data = array())
Create a new view instance.
at line 74
public string
render(Closure $callback = null)
Get the string contents of the view.
at line 117
public array
renderSections()
Get the sections of the rendered view.
at line 164
public View
with(string|array $key, mixed $value = null)
Add a piece of data to the view.
at line 186
public View
nest(string $key, string $view, array $data = array())
Add a view instance to the view data.
at line 197
public View
withErrors(MessageProviderInterface|array $provider)
Add validation errors to the view.
at line 216
public Environment
getEnvironment()
Get the view environment instance.
at line 226
public EngineInterface
getEngine()
Get the view's rendering engine.
at line 236
public string
getName()
Get the name of the view.
at line 246
public array
getData()
Get the array of view data.
at line 256
public string
getPath()
Get the path to the view file.
at line 267
public void
setPath(string $path)
Set the path to the view.
at line 278
public bool
offsetExists(string $key)
Determine if a piece of data is bound.
at line 289
public mixed
offsetGet(string $key)
Get a piece of bound data to the view.
at line 301
public void
offsetSet(string $key, mixed $value)
Set a piece of data on the view.
at line 312
public void
offsetUnset(string $key)
Unset a piece of data from the view.
at line 322
public mixed
__get($key)
Get a piece of data from the view.
at line 334
public void
__set(string $key, mixed $value)
Set a piece of data on the view.
at line 345
public bool
__isset(string $key)
Check if a piece of data is bound to the view.
at line 356
public bool
__unset(string $key)
Remove a piece of bound data from the view.
at line 370
public View
__call(string $method, array $parameters)
Dynamically bind parameters to the view.
at line 385
public string
__toString()
Get the string contents of the view.


Philadelphia average = 12.1%
less than 5%
5-12%
12-16%
17-24%
greater than 25%
Health Centers
Older Adult Centers
Farmer's Markets


Thursday at Ten 19 Nov 2019, 15:00 A "Call For Action" after tenants turn a condo rental into a dog-breeding disaster area.


Full-time, Part-time, Internships, Freelance, and Volunteering
Pop Ups, Artist Studios, Galleries, Office Spaces, Event Spaces, Commercial Spaces
Grants, Residencies, Call for Artists, Awards, Fellowships, Volunteering, Workshops, Classes


--- layout: page category: spec title: "Runtime and Security Model for Web Applications" ---
| Current Status: | Note (NOTE) |
|---|---|
| Canonical URI: |
http://www.w3.org/TR/runtime
|
| Abstract: | This document specifies a runtime and security model for Web Applications. It describes how an application is defined through an application manifest, and how it can be installed, updated and packaged. It also specifies how such an application can be put into the background, be put back in the foreground or woken up. Finally, the document describes the security model for such applications. This includes the permission model and the different security rules that would apply. |
Runtime and Security Model for Web ApplicationsUpdates:


| Title | Tenant | Contact | Stage | edit |
|---|---|---|---|---|
| {{ property.title }} | {{review.full_name}} | {% if review.contract_set.all.count > 0 %} {{review.contract_set.all.0.title}} {% endif %} |
{% stage_tenant_list property as stage_tenant %}
{% if stage_tenant %}
Tenant Stage
{% else %}
{% stage_rent_list property as stage_rent %}
{% if stage_rent %}
Rent Stage
{% else %}
{% stage_buying_list property as stage_buying %}
{% if stage_buying %}
Buying Stage
{% else %}
Opportunity Stage
{% endif %}
{% endif %}
{% endif %}
|
|
| Title | Tenant | Contact | Stage | edit |


:: com :: sun :: star :: drawing :: framework ::
|
| interface XConfigurationControllerRequestQueue |
|
- Description
- The request queue of the configuration controller handles requests for
changes to the current configuration.
This interface allows callers to add requests to the back of the
queue and to determine wheter the queue is empty. Using this interace
should normally not be necessary for anyone else than the
XConfigurationController. It may be removed in the future.
|
| Methods' Summary |
| hasPendingRequests |
Return whether there are pending requests for configuration changes.
|
| postChangeRequest |
Add a request for a configuration change to the request queue.
|
| Methods' Details |
hasPendingRequests
| boolean |
| hasPendingRequests(); |
- Description
- Return whether there are pending requests for configuration changes.
- Returns
- Returns true when there is at least one request object in the
queue that has not yet been processed. It returns false when
the queue is empty.
|
|
postChangeRequest
- Description
- Add a request for a configuration change to the request queue.
This method should not be called from outside the drawing
famework. Other sub conrollers of the drawing framework are typical
callers. They can add change requests that can not be made with the
requestResourceActivation() and
requestResourceDeactivation() methods.
- Parameter xRequest
- The configuration change represented by this request object must only
be commited to the configuration when the
execute()
method of the xRequest object is called.
|
|
Top of Page
Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


--- layout: page scrolljs: true ---
Your Download will begin shortly. If it does not start click here.
You can also download Cops And Robbers for other platforms by clicking on this link


How are you progressing on FreeCodeCamp
A short survey to use to gauge how you're feeling about FCC
Name
Email
*
Age
What FreeCodeCamp Course are you currently pursuing:
--Please choose an option--
Responsive Web Design Certification
JavaScript Algorithms and Data Structures Certification
Front End Development Libraries Certification
Data Visualization Certification
APIs and Microservices Certification
Quality Assurance Certification
Scientific Computing with Python Certification
Data Analysis with Python Certification
Information Security Certification
Machine Learning with Python Certification
Hours
How are you feeling about it?
I feel great! Can't wait to learn more.
I feel fine. I need to learn a bit more first.
I feel ok but I may need extra help.
I'm lost and can't find the exit!
Ehh...not sure
Additional Comments:


An application with hard coded IP may become impossible to deploy in some case. It never hurts to externalize IP adresses.
This rule is deprecated, use {rule:squid:S1313} instead.


WILLIAM SHAKESPEARE'S A MIDSUMMER NIGHT'S DREAM A film review by Mark R. Leeper
Capsule: The eagerly awaited summer release of Shakespeare's light fantasy tale of fairies and dukes is surprisingly mundane. In spite of some good acting by Stanley Tucci and Kevin Kline, director Michael Hoffman brings little innovative or interesting to the telling besides star power. But the contribution of having familiar actors instead of good unknowns in a Shakespeare play is minimal. Rating: 5 (0 to 10), low +1 (-4 to +4)
There was a time when seeing a particular Shakespeare play might be a once-in-a-lifetime opportunity. People would rarely have a chance to see two different companies performing the same play. Then it was sufficient to be simply providing Shakespeare. That is not so any more. Turner Classic Movies frequently plays the 1935 film version. It is not so long since PBS broadcast a BBC version. In fact, the Internet Movie Database lists nine TV versions and it does not list the comic version featuring the Flying Karamazov Brothers. If a filmmaker wants to do a new version of a Shakespeare play, it should be at least in some way very original. It should have something that the previous versions do not offer. Certainly two films that I thought did that were Kenneth Branagh's MUCH ADO ABOUT NOTHING and Ian McKellan's RICHARD III. The former managed to use diction that made following the dialog easy and a pleasure to follow. That and its pleasant Tuscan setting made the film a real joy. And McKellan's reframing of RICHARD III as an alternate history with a Fascist takeover of Britain in the 1930s stands as the single most exciting and inventive performance of Shakespeare I have ever seen. The new WILLIAM SHAKESPEARE'S A MIDSUMMER NIGHT'S DREAM was presenting a very familiar story, so with a fixed plot it should have been greatly creative in some other way. It should have been as innovative as those films. It was not.
Michael Hoffman adapted the Shakespeare play and directed. Hoffman did a beautiful job creating a sumptuous look and feel for the 1995 film RESTORATION, but his ideas were far less rich or original for WILLIAM SHAKESPEARE'S A MIDSUMMER NIGHT'S DREAM. As the film starts we are immediately plunged into cliche with Felix Mendelssohn's "Midsummer Night's Dream." It is a rather obvious choice and hardly one that is inspiring. The first original touch is to move the setting from ancient Athens to late 19th Century Monte Athene in Tuscany. But there is something of a problem there almost immediately. The play has many references to its setting, and there is an immediate dissonance to see Italy and hear it called Athens. It is also jarring to have characters whose names are Theseus, Demetrius, Lysander, Helena, and Hermia. The move of location is probably an attempt to repeat the effect that Branagh achieved with his Tuscan setting, but it really does not work the same sort of magic.
For those who do not know the story, I will say just briefly that Duke Theseus (David Strathairn) is preparing to wed Hippolyta (Sophie Marceau) when he is asked to settle a dispute between a father and daughter. Egeus (Bernard Hill, recently seen as the captain going down with the ship in TITANIC) has arranged a marriage for his daughter Hermia (Anna Friel) to Demetrius (Christian Bale). But the rebellious daughter instead loves Lysander (Dominic West). Another woman, Helena (Calista Flockhart), loves Demetrius. Getting involved into the action is also a traveling theater company preparing to put on a bad play about Pyramus (Bottom (Kevin Kline)). And as if that were not enough in another part of the forest is Oberon, King of Fairies (Rupert Everett) is having his problems with his queen Titania (Michelle Pfeiffer).
The stars of the film are really Stanley Tucci and Kevin Kline. Kline has a somewhat expanded role from the Shakespeare involving Bottom's wife who never appeared in the original play. These sequences have to be done without dialog since it is easier to do it that way than to get Shakespeare back to write lines for their interaction. Stanley Tucci is almost always a pleasure to watch on the screen. Here he does his rubber-faced thing a little too much and amazingly he overstays his welcome. But Calista Flockhart (TV's Ally McBeal) manages to out-rubber-face even Tucci and to almost achieve the level of a Macaulay Culkin (not appearing in this film, thankfully).
Sadly, the film is never as enchanting as it is supposed to be or even as it needs to be. Many of the intended magical elements turn leaden. Having Puck ride a bicycle again and again is just not all that whimsical. Having him ride a silly-looking plastic turtle intended to be real is even less so. Hoffman even has a mud-wrestling scene with Helena and Hermia. Really. The sequence of the play of "Pyramus and Thisbe" may be where some of the humor works the best in a sort of imitation Monty Python way. Still, this sequence comes off as gratuitous filler, but then it always did in the original play also, so that is not Hoffman's fault. Once one accepts the Italian setting, the use of Italian opera melodies is pleasant and does add to the mood, though when the same melodies are repeated one starts to wonder if there were not more to choose from.
In spite of the cast, this is a competent but unexceptional version of one of Shakespeare's more popular plays. I rate it 5 on the 0 to 10 scale and a low +1 on the -4 to +4 scale.
Mark R. Leeper<EMAIL_ADDRESS>Copyright 1999 Mark R. Leeper
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Farage: Labour election campaign ‘is bombing’
The Brexit Party leader said Jeremy Corbyn’s Brexit stance showed a ‘failure of leadership’.
Brexit Party leader Nigel Farage has said the Labour election campaign is “bombing”.
Mr Farage was speaking about Jeremy Corbyn’s decision to remain “neutral” in a mooted second EU referendum, as he visited market stallholders in Hartlepool.
He said the Labour leader’s stance, which he revealed on BBC’s Question Time on Friday, showed a “failure of leadership”.
Speaking to the PA news agency as he stopped for a drink at the King John Tavern, Mr Farage said: “Brexit is the defining issue of our day and the leader of the Labour Party is going to abstain from that.
“I find that astonishing. It’s a failure of leadership. It’s also a reflection that he knows his own parliamentary party are Remainers… so he’s still trying to stay on that fence and it’s not working.
“And I think, frankly, people would say just come down on one side or the other and I think my feeling is the Labour campaign is bombing and that last night made it worse.”
Mr Farage added that the Brexit Party could win Labour seats in the election if it attracted ballots from Conservative voters.
He said patriotic voters in places like Hartlepool would vote for his party because of their view of Mr Corbyn.
He said: “I think the Brexit issue is huge, I think the patriotic issue is huge, I think Corbyn is not seen as being very patriotic and I think if Conservative voters in these areas realise that we’re the challenger and come to us, then we could (beat Labour), absolutely.”
Mr Farage said resolving the Brexit issue would help restore the public’s faith in politics.
“What was interesting though, and I felt it when I did it, from the audience last night was the sheer level of hostility.
“This is real, people are very angry with politics, their faith and trust in Parliament, politicians, has never, ever been lower and goodness me it shows.
“This is why, actually, getting Brexit done properly will allow us to get people to believe that if they vote for something it might actually happen.”
Mr Farage arrived in Hartlepool on the Brexit Party battle bus and visited the Market Hall in Middleton Grange shopping centre.
Wearing a flat cap and calf-length wax jacket, Mr Farage spoke to a number of stallholders and bought a caramel slice and a £1.29 Christmas card for his mother.
Mr Farage later joined canvassers knocking on doors in Hartlepool.
Speaking as he walked through the residential area, he said he believed there would be a low turnout in the election.
But several voters on the doorstep said he had their vote.
Kenneth Melvin, a former Labour voter, said he would be voting for the Brexit Party because he could not trust Labour.
Debbie Franks, a Weight Watchers coach, said she was still undecided but would not vote for either of the two main parties.


Origin:
1890's in New York.
Meaning:
verb: to turn one's head to stare at something in a foolish manner.
Origin:
Shakespeare's Henry VI, Part 2, 1592
Meaning:
I'll not speak of this.
Origin:
Unknown exactly. Appeared in 'The Fair Maid of Perth' by Sir Walter Scott in 1828.
Meaning:
Not serious; making a joke.
Origin:
Jeffersonville Daily Evening News, 1835.
Meaning:
Slightly unwell or in low spirits.
Origin:
1747 “The Two-Shilling Butcher”, a political cartoon.
Meaning:
a degree or stage above.
Origin:
John Ray, 1678.
Meaning:
The very best.
Origin:
William Shakespeare’s Macbeth in 1605.
Meaning:
Suddenly; in a single, swift manner.
Origin:
Irish playwright George Bernard Shaw. 1895.
Meaning:
A hopeful attempt.


Fix errors in your Python applications before your users ever see them by monitoring your app with Rollbar.


#SackDadlaniFromIndianIdol: Vishal Dadlani Receives Flak For His ‘Disgraceful’ Remark On Former CJI Ranjan Gogoi
"Goodbye, ex-CJI Gogoi, and I hope you can stomach the disgraceful and cowardly legacy you have left this august Office," Vishal Dadlani had tweeted.
by IANSMusic composer Vishal Dadlani is being been slammed a section of netizens over his controversial tweet on former Chief Justice of India Ranjan Gogoi’s retirement.
“Goodbye, ex-CJI Gogoi, and I hope you can stomach the disgraceful and cowardly legacy you have left this august Office,” Vishal had tweeted.
This did not go down well with a section of Twitterati. They are criticising Vishal on social media, demanding his removal from the jury panel of “Indian Idol“.
  #SackDadlaniFromIndianIdol.”
Another user called Vishal a “cheap” for passing demeaning remarks on Gogoi.
After such tweets, #SackDadlaniFromIndianIdol started trending on Twitter.
Rajan Gogoi was in headlines recently for being a part of the iconic Ayodhya verdict that was long pending. But Gogoi also has some allegations and controversies to his credit with many validating it.


GroupManager
Toggle navigation
Home
Sign Up / Login
Location
To find local groups, we need to know your location
Go


Your demographics request {{ request.filename }} submitted on {{ request.submitted_datetime | date_format }} is complete. Please click the link and download the results.