Commentag introduces tweetag.com
November 22 2008, 11:55 PM
This Wednesday 19th of November, Commentag introduced a brand new way to search on Twitter.
Twitter is platform where more than 3 million people post short messages about what they are doing or thinking.
It's exactly like your status on facebook except that here most of them are totally public and anyone can follow your updates.
This frenzy ecosystem can be visualized live on the brillant TwitterVision.
Wouldn't it be cool if we could tell what all these people are most talking about?
To do so, you can use the impressive Twitscoop. It analyzes words frequencies and gives you the hottest trends live. That's cool.
But what if you want to know what all these people on twitter have to say about, let's say, Obama?
Twitscoop is not gonna be of any help here.
Instead, you can do a search on search.twitter.com. A search for Obama will bring you all the tweets talking about Obama in real-time.
That's cool!
But you're probably not going to read all the tweets, there are too many!
Let's go back to my first question: "What people have to say about Obama?".
Reading the first 10 tweets of the result list will not give you any clue to answer that question.
Indeed, the 10 last persons who published a thought about Obama may not represent the topics that have been discussed lately!
That's exactly where Tweetag stands.
Instead
of having to read everything to get a picture of a conversation,
Tweetag applies Commentag technologies to allow you to easily catch up
any discussion about a topic of interest.
Try it out by yourself!
You may also want to read the review of Techcrunch about Tweetag.


|
Nifty
0.4.0
|
#include <mincut_greedy_additive.hxx>
Public Types | |
| typedef float | QpboValueType |
| typedef OBJECTIVE | Objective |
| typedef OBJECTIVE | ObjectiveType |
| typedef Objective::Graph | Graph |
| typedef ObjectiveType::GraphType | GraphType |
| typedef detail_mincut_greedy_additive::MincutGreedyAdditiveCallback< Objective > | CallbackType |
| typedef nifty::graph::EdgeContractionGraph< GraphType, CallbackType > | ContractionGraphType |
| typedef MincutBase< OBJECTIVE > | Base |
| typedef Base::VisitorBase | VisitorBase |
| typedef Base::VisitorProxy | VisitorProxy |
| typedef Base::EdgeLabels | EdgeLabels |
| typedef Base::NodeLabels | NodeLabels |
| typedef CallbackType::Settings | Settings |
| Public Types inherited from nifty::graph::MincutBase< OBJECTIVE > | |
| typedef OBJECTIVE | Objective |
| typedef MincutVisitorBase< Objective > | VisitorBase |
| typedef MincutVisitorProxy< Objective > | VisitorProxy |
| typedef Objective::Graph | Graph |
| typedef Graph::template EdgeMap< uint8_t > | EdgeLabels |
| typedef Graph::template NodeMap< uint64_t > | NodeLabels |
Public Member Functions | |
| virtual | ~MincutGreedyAdditive () |
| MincutGreedyAdditive (const Objective &objective, const Settings &settings=Settings()) | |
| virtual void | optimize (NodeLabels &nodeLabels, VisitorBase *visitor) |
| virtual const Objective & | objective () const |
| void | reset () |
| void | changeSettings (const Settings &settings) |
| virtual void | weightsChanged () |
| Inform solver about a change of weights. More... | |
| virtual const NodeLabels & | currentBestNodeLabels () |
| virtual double | currentBestEnergy () |
| virtual std::string | name () const |
| Public Member Functions inherited from nifty::graph::MincutBase< OBJECTIVE > | |
| virtual | ~MincutBase () |
| typedef MincutBase<OBJECTIVE> nifty::graph::mincut::MincutGreedyAdditive< OBJECTIVE >::Base |
| typedef detail_mincut_greedy_additive::MincutGreedyAdditiveCallback<Objective> nifty::graph::mincut::MincutGreedyAdditive< OBJECTIVE >::CallbackType |
| typedef nifty::graph::EdgeContractionGraph<GraphType, CallbackType> nifty::graph::mincut::MincutGreedyAdditive< OBJECTIVE >::ContractionGraphType |
| typedef Base::EdgeLabels nifty::graph::mincut::MincutGreedyAdditive< OBJECTIVE >::EdgeLabels |
| typedef Objective::Graph nifty::graph::mincut::MincutGreedyAdditive< OBJECTIVE >::Graph |
| typedef ObjectiveType::GraphType nifty::graph::mincut::MincutGreedyAdditive< OBJECTIVE >::GraphType |
| typedef Base::NodeLabels nifty::graph::mincut::MincutGreedyAdditive< OBJECTIVE >::NodeLabels |
| typedef OBJECTIVE nifty::graph::mincut::MincutGreedyAdditive< OBJECTIVE >::Objective |
| typedef OBJECTIVE nifty::graph::mincut::MincutGreedyAdditive< OBJECTIVE >::ObjectiveType |
| typedef float nifty::graph::mincut::MincutGreedyAdditive< OBJECTIVE >::QpboValueType |
| typedef CallbackType::Settings nifty::graph::mincut::MincutGreedyAdditive< OBJECTIVE >::Settings |
| typedef Base::VisitorBase nifty::graph::mincut::MincutGreedyAdditive< OBJECTIVE >::VisitorBase |
| typedef Base::VisitorProxy nifty::graph::mincut::MincutGreedyAdditive< OBJECTIVE >::VisitorProxy |
|
inlinevirtual |
| nifty::graph::mincut::MincutGreedyAdditive< OBJECTIVE >::MincutGreedyAdditive | ( | const Objective & | objective, |
| const Settings & | settings = Settings() |
||
| ) |
|
inline |
|
inlinevirtual |
Reimplemented from nifty::graph::MincutBase< OBJECTIVE >.
|
inlinevirtual |
Implements nifty::graph::MincutBase< OBJECTIVE >.
|
inlinevirtual |
Implements nifty::graph::MincutBase< OBJECTIVE >.
|
virtual |
Implements nifty::graph::MincutBase< OBJECTIVE >.
|
virtual |
Implements nifty::graph::MincutBase< OBJECTIVE >.
| void nifty::graph::mincut::MincutGreedyAdditive< OBJECTIVE >::reset | ( | ) |
|
inlinevirtual |
Inform solver about a change of weights.
Inform solver that all weights could have changed. If a particular solver does not overload this function, an WeightsChangedNotSupported exception is thrown. After a call of this function it is save to run optimize again, therefore it resets the solver
Reimplemented from nifty::graph::MincutBase< OBJECTIVE >.


Effect For Offcanvas
Choose Option Effect
1. Side in on Top
2. Reveal
3. Push
4. Slide along
5. Reverse slide out
6. Rotate pusher
7. 3D rotate in
8. 3D rotate out
9. Scale down pusher
10. Scale Up
11. Scale & rotate pusher
12. Open door
13. Fall down
14. Delayed 3D Rotate
Effect Offcanvas
x
Cras justo odio
Dapibus ac facilisis in
Morbi leo risus
Porta ac consectetur ac
Vestibulum at eros


--- layout: blazor title: Blazor Charts description: Blazor Charts keyword: blazor charts, blazor chart libraries, webassembly blazor charts ---
Elegantly Simple WebAssembly Blazor Charts
This is a collection of Blazor Charts that is Elegantly Simple with the following key design principles:
Standard Charts
Data Intense Blazor Sparklines
Using the dotnet CLI, create a new Blazor project
dotnet new blazorwasm -o BlazorProjectClone the Blazor Charts Library
git clone https://github.com/Misfits-Rebels-Outcasts/Blazor-Charts.gitAdd a reference from the BlazorProject to the specific Blazor Charts Library. Go to the BlazorProject folder, edit the BlazorProject.csproj and add in the following:
<Project...>
.
.
.
<ItemGroup>
<ProjectReference Include="../Blazor-Charts/DonutChart/DonutChart.csproj" />
</ItemGroup>
</Project>
If you are using other charts such as the Pie Chart, change the above to "../Blazor-Charts/PieChart/PieChart.csproj".
Edit Index.razor in the Pages folder of the BlazorProject
@using WebAssemblyMan
@page "/"

Hello, world!

Welcome to your new app.
<DonutChart InputData="10,30,20,10,10,10,5,5"
InputLabels="App Store,Website,Partners,
Direct,Channels,Retail,Distributors,Affiliates">
</DonutChart>
<SurveyPrompt Title="How is Blazor working for you?" />
@using enables us to use the Blazor Charts library within our project. <DonutChart> is the tag where we declare our use of the chart component. If you are using other charts such as the Pie Chart, change the above to "<PieChart InputData="50,30,20" ...><PieChart>".
Edit index.html to include the Chart Stylesheet.
<!DOCTYPE html>

.
.
.
<link href="_content/DonutChart/styles.css" rel="stylesheet" />

.
.
.

If you are using other charts such as the Pie Chart, change the above to "<link href="_content/PieChart/styles.css" rel="stylesheet" />".
Run the BlazorProject
dotnet runYou should see a web page with the Blazor chart.
 Everyday, day after day, components after components and charts after charts. We definitely have. That is why we build own components and charts to be adaptable, vanilla with minimal dependencies and elegantly simple. The Elegantly Simple design ensures our components and charts are build to last. As new frameworks and libraries are released, you will be able to easily adapt the components charts to the new version. When you hire new people to maintain a project utilizing these components and charts, they will have no problems understanding how the components and charts work.
We provide good documentation on the components and charts so that you do not need to guess or figure out how we have designed and implemented them.
We also test our components and charts with different scenarios vigorously, so that you know you can be assured of its quality, robustness and reliability.
Whether you are a project manager, software developer or business executive from a Fortune 500 company, or a free-lancer, a consultant or an entrepreneur joining the business world, we hope that you will find our WebAssembly components and charts useful as we have built upon our past experiences, put in our best efforts and invest quality time to develop them to their very best.
Page Source | Issues | Content Date - 2/10/2020 | Language Vetting - "Feb 28,2020"


To the members of the Nebraska AAPT:
Here is what I promised you. All are in PDF format. The first is my talk (45 MB). The second is an invited talk (16 MB) at the American Physical Society's Division of Plasma Physics meeting by Sophia Gershman of Watchung Hills Regional High School. She discusses ways she weaves plasmas into her introductory curricula. The next is a paper (36 MB) written by a summer student on high speed video imaging of various plasma sources. Finally, there is a movie (14 MB) of magnetic confinement of hot ions at the surface of the sun. You'll need QuickTime to view it.
Many thanks to Father Michael and Tom Brestel for their help and to Brent for the invitation. I had a wonderful day.
Regards,
Andrew Post-Zwicker


Comprising undulating hills, lush valleys and a number of beautiful lakes-with its scenic beauty Ooty always casts its charm on the discerning travellers. Often referred to as the 'Queen of Hills', the hill station is one of the most popular places to visit not only in South India but also in the rest of the country. The hill station is situated at an elevation of 2240 metres above sea level and is one of most popular tourist destinations in Tamil Nadu. There are ample sightseeing sites in Ooty that will leave travellers in awe while vacationing. Ooty's magnificent tea plantations and red-roofed bungalows still carry echoes of the colonial past which fascinated every traveller visiting here for a holiday.
The amazing natural exquisiteness with its misty green trails continue to attract thousands of nature lovers who can simply bask amidst its pristine lap. Besides visiting the sprawling tea plantations and admiring the red-roofed bungalows, there are ample things to do in Ooty that will fill you with memories of a lifetime. Offer prayers at the St. Stephen's Church, take a ride at the Nilgiri Mountain railways or opt for a boat ride at the lake- the endless activities in Ooty will always enthrall you with an absolute sense of wonder.
One of the major tourist attractions in this Queen of Hills happens to be the Nilgiri Mountain Railways. A UNESCO World Heritage, a ride on the Nilgiri Mountain Railways is an experience of a lifetime. Other points of tourist interest include the Avalanche Lake, Upper Bhavani Lake and the Emerald Lake. Boating at the famous Ooty Lake also qualifies as one of the most exciting things to do in the hill station. Apart from the above-mentioned travel places several religious shrines are also dotted all over - right from St. Stephens Church to the age-old Murugan Temple, even pilgrims can have their fair share in Ooty.
Apart from that, travellers can explore a host of other places of interest in the hill station that include the Botanical Gardens, the Pykara Lake and Falls and even sanctuaries. Ooty makes for an ideal destination for honeymooners, solo travellers, family vacationers and also for individuals who simply want to travel with friends. In our Ooty Travel Guide, we have given an extensive list of what to see in this travel destination in Tamil Nadu, what to do and where to stay - we have covered it all.
Rose Garden |
Ooty lake |
Kalhatti Falls |
Coonoor |
Ooty |
Restaurants |
History |
Delicious Dishes |


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#180, West Of Chord Road, Mahalakshmipuram, Bengaluru -560086
Tel:<PHONE_NUMBER>
Email: nishanthncredible@gmail.com


His original pizza creation was made with BBQ sauce, chicken, cilantro, red onions, and fontina cheese and remains on the CPK menu to this day. BBQ Pizza is beloved because it walks the border of sweet and savory and makes the best use of leftover chicken..
Margherita Pizza is a Neapolitan pizza, made with San Marzano tomatoes, mozzarella cheese, fresh basil, salt and extra-virgin olive oil
Pepperoni Pizza We’d wager that pepperoni is still Kenya’s number-one, most-popular pizza topping. This singular topping even graces the pizza emoji! It makes sense if you really consider everything that is good about pepperoni:
Hawaiian Pizza A combination of tomato sauce, cheese, ham, and pineapple that is as beloved as it is despised still makes our list of iconic pizzas. Hawaiian pizza was reportedly invented in Canada, not the American islands it is named for.
Sliced chicken breast, pizza sauce, Mozzarella cheese, cherry tomatoes, chicken,brocolli, baby spinach leaves, red onion, peri peri sauce.
Meat-lover’s pizza is the hero of our iconic pizzas, as it holds the most toppings on a single pie: pepperoni, sausage, meatballs, and mushrooms all come together in this hearty, super-savory pizza. Meat-lover’s pizza is our go-to when feeding a hungry crowd.


This example illustrates the use of Vuforia for image tracking. It is designed to work with the standard "stones and chips" Vuforia image.


About Us
Orient SNAP is beautiful hotel in the city of SNAP, has been built on 14 acres of land with a large frontage. A beautiful hotel property inspired by the intricacy of Mughal architecture with splendid display of terraced lawns, fountains and ancient interiors that takes you back to an era of emperors and princes with the modern facilities. It is a masterpiece of architecture built on Mughal Theme with world class modern hi-tech amenities. It is attracting leisure & business tourists from all over the world. The intricate craftsmanship and the beautiful landscape makes it the most preferred destination in the itinerary of tourists. A visual delight for holiday makers as it revives the grandeur of the Mughal Emperors.


[ all classes ]
[ it.polimi.ingsw.model ]
Coverage Summary for Class: GodPower (it.polimi.ingsw.model)
| Class | Class, % | Method, % | Line, % |
|---|---|---|---|
| GodPower | 100% (1/ 1) | 100% (14/ 14) | 100% (24/ 24) |
1 package it.polimi.ingsw.model;
2
3 class GodPower implements GodInterface {
4
5 /**
6 * God enumeration
7 */
8 public final God god;
9
10 /**
11 * Player that owns the current god power
12 */
13 public final String owner;
14
15 /**
16 * If the god power is activated
17 */
18 private Boolean trigged;
19
20 /**
21 * Current Player's information
22 */
23 private CurrentPlayer currentPlayerInfo;
24
25
26 /**
27 * Set the god's power
28 * @param god Current god
29 * @param name Player's username
30 */
31 public GodPower(God god, String name) {
32 this.god = god;
33 owner = name;
34 trigged = false;
35 }
36
37 /**
38 * Add information to the current player
39 * @param currentPlayerInfo Player's information needs to be updated
40 */
41 @Override
42 public void addInfo(CurrentPlayer currentPlayerInfo) {
43 this.currentPlayerInfo = currentPlayerInfo;
44 }
45
46
47 /**
48 * Set the last god that changed his own status
49 * @param lastGod last god that changed his own status
50 */
51 public void setLastGod(God lastGod) {
52 currentPlayerInfo.setLastGod(lastGod);
53 }
54
55 /**
56 * Get the last god that changed his own status
57 * @return last god that changed his own status
58 */
59 public God getLastGod() {
60 return currentPlayerInfo.getLastGod();
61 }
62
63 /**
64 * Set the current player
65 * @param name player's username
66 */
67 @Override
68 public void setCurrentPlayer(String name) {
69 currentPlayerInfo.setCurrentPlayer(name);
70 }
71
72 /**
73 * Get the current player
74 * @return current player
75 */
76 @Override
77 public String getCurrentPlayer() {
78 return currentPlayerInfo.getCurrentPlayer();
79 }
80
81 /**
82 * Set the worker's position
83 * @param positionWorker worker's position
84 */
85 @Override
86 public void setWorker(int[] positionWorker) {
87 currentPlayerInfo.setPositionWorker(positionWorker);
88 }
89
90 /**
91 * Get the worker's position
92 * @return worker's position
93 */
94 @Override
95 public int[] getPositionWorker() {
96 return currentPlayerInfo.getPositionWorker();
97 }
98
99 /**
100 * Set player's status
101 * @param statusPlayer player's status to be set
102 */
103 @Override
104 public void setStatusPlayer(StatusPlayer statusPlayer) {
105 currentPlayerInfo.setStatusPlayer(statusPlayer);
106 }
107
108 /**
109 * Get player's status
110 * @return player's status
111 */
112 @Override
113 public StatusPlayer getPlayerStatus() {
114 return currentPlayerInfo.getStatusPlayer();
115 }
116
117
118 /**
119 * Activate God Power's status
120 * @param status God's status that needs to be activated
121 */
122 @Override
123 public void activate(boolean status) {
124 trigged = status;
125
126 }
127 /**
128 * Get god's status
129 * @return God's stauts
130 */
131 public boolean getStatus() {
132 return Boolean.TRUE.equals(trigged);
133 }
134
135 /**
136 * Get event
137 * @param events event to be updated
138 * @param map board situation at the moment
139 * @param actions action of the event
140 */
141 @Override
142 public void getEvent(Event[] events, Cell[][] map, Action[][][] actions) {
143
144 }
145
146 /**
147 * Get player's username
148 * @return player's username
149 */
150 @Override
151 public String getName() {
152 return owner;
153 }
154 }


Audio transcript
This isn't really an audio fact file about bears, but it is an audio file that you can transcribe.


--- layout: default title: Alessandro Melchiori ---
Software craftsman, husband, father, ex-sportsman and inquiring reader. Since I was young I have loved taking apart and reassembling things to understand how they work. Now, this passion has become my job: the step from Lego to software development was small. Finding the best possible solution so that a complex system can work at its best and making it run smoothly are the goals of my work. C#, WCF, ESB, MongoDb and Azure make up my survival toolkit and help me cruise through distributed systems and enterprise solutions, with ease. Be it a command or an event, I try to do my best in contributing to the life of the communities that have adopted me (ugidotnet and webdebs), trying to “give back” at least a part of what I have received over these years.


this documents my adventures to far-off places such as Melbourne or bushland adventures like the making of the valley path.


WILD THINGS (1998) Rated R for strong sexuality, nudity, language and violence. ---------- Out of 4 stars: ***1/2 (3 1/2 Stars)
Starring: Kevin Bacon, Matt Dillon, Neve Campbell, Denise Richards, Theresa Russell, Daphne Rubin-Vega
As much as I wanted to like this film as I went into it, the more pleased I was when I left. First, getting through all the usual lines of newspaper glitz: "If you liked Scream, you'll love Wild Things!" "Campbell gives a stunning performance!" "This twisty plot will have you dazzled for days!" (Oh yeah, the day a newspaper uses these is the day Neve Campbell falls in love with me)
Now, onto more serious stuff (and with this film, I mean that in nearly a sarcastic way). WILD THINGS has single-handedly broken down the rules surrounding the R rating from the MPAA. I'm not saying that in a bad way, but when you see this film, you may be shocked by what you see. However, perhaps the MPAA was pleased by the film's charming cast and tricky plot, that they let the film slide with an R rating. Being Mormon, I'm bound to hear an uproar from religious zealots warning me not to see the film. Trouble is, I have already seen it. And I like it!
WILD THINGS is a film noir of the 90s, filled with 40s sensibilities, and yet breaking the rules and modern-day taboos of 90s culture. The style in which it is filmed is rich in color. The actors are all gorgeous people, seemingly drawn from the same gene pool and placed into this film. Sure, it's all too good to be true, but ain't it fun to watch? When movies like this come along (sort of a better version of Basic Instinct) there is bound to be people who either love it or hate it. There will be people who don't want to admit liking what they see, but I tell you, most anyone who sees this will like it.
WILD THINGS begins at Blue Bay High School, the one high school in the world that any teenager would love to get into. It's almost as if students are put through entrance exams just for admittance (totally based on looks alone). Of course, there are those select few who may look slightly ugly, but compared to the average person, they are gorgeous. Immediately, the film finds its tone and the audience settles in for an enjoyable time. We can turn off our brains, right? Wrong. While you may be expecting one thing to happen, it certainly doesn't turn out that way.
The film begins in a classroom, with nearly all the main characters present. There's Sam Lombardo (Matt Dillon), a counselor for the students. He's heading the class discussion. There's also Kelly Van Ryan (Denise Richards), a snobby rich teen who has fallen in love with Sam. Teaching the class, however, are two policemen: Ray Duquette (Kevin Bacon) and Gloria Perez (Daphne Rubin-Vega), who want to talk about 'Sex... (Cheers) Crimes (Boos)'.  Ray asks. "Not gettin' any!" one student responds. This pretty much sets the tone of the film we are about to watch. However, upon hearing this, one student, Suzie Toller (Neve Campbell), stands up and leaves the room, commenting that they can both kiss part of her body. And so, WILD THINGS sets into motion.
Quickly, Kelly begins hitting on Sam, but Sam doesn't want anything to do with her advances. Kelly is stubborn and continues to pursue him. She even pleads with him to let her wash his Jeep. Surprisingly, that's really all I can tell you about the plot. Any more would give away one of the many crucial plot twists. And what's more, these plot twists are actually unpredictable. Going along the way of SCREAM, WILD THINGS maintains that film's surprises, and then adds even more to them. There are more plot twists in this film than probably any I have ever seen. And even though you think you may get tired of them, the surprises are so genuine that it's rather pleasing. Going back over them in my mind, nearly all of them work, though some stretch the boundaries of belief. Thankfully, the convoluted plot doesn't give us much time to think about each one, pouncing yet another twist on us before the shock of the previous one has worn off.
As for the critics who complain that the film is trashy--well, it is. This is pretty much just one trashy film. However, it is the kind of trashy that isn't hard to watch. It's good trash, in a sense. One, the screenplay knows that it's not to be taken seriously, and it includes a lot of humor and satire into the story. This varies everywhere from Kelly's mother (Theresa Russell), who is more of a caricature of rich people, all the way to an ambulance-chasing lawyer (Bill Murray), who wears a neck-brace to cover an insurance scam he is running. Bill Murray also provides the best character in the film, and most of the genuine laughs. And two, the sex is more than gratuitous, although not unwelcomed. WILD THINGS is supposed to have sex in it (what film with that title wouldn't?), and this movie breaks the boundaries. Instead of having heterosexual sex scenes, it also includes lesbian scenes between Denise Richards and Neve Campbell (don't worry... it's not as graphic as you might think). The heterosexual scenes are quite graphic, but the surprise shocker is Kevin Bacon's full-frontal nude scene. It's very brief, so if you blink, you may miss (ahem) it. And, for as long as I can remember, I don't think I have seen an R-rated film show an erect one before (it's not completely, but judging from the audiences' reaction, it was more than they expected too). Also, during one scene late in the film, there seemed to be a relationship brewing between Bacon and Dillon's characters, but nothing came of it (makes you wonder if the director had to cut it in order for the R rating, or if the actors refused to do it).
What first made me want to see WILD THINGS was its cast. Neve Campbell, of course, has been one of my favorite actresses since the SCREAM films were released. Here, however, she turns every typical role she has done on its head and plays a gothic pothead. The closest role to this was her performance in THE CRAFT (though even in that she was a nice girl). Campbell is probably the best in the film and shows her wide range of talent. You can tell she will be around for a long time. Denise Richards will also be around for a long time, although she may be limited to the roles without much range. Here, she gets to express more emotions than in her stiff (yet effective) performance in STARSHIP TROOPERS. Hopefully one day she will land a very good role that can display her ability. And then there is Daphne Rubin-Vega, a newcomer to the movies. She gives a very good performance, although her character is mostly left to the background for the first hour and a half. Towards the end she does get a bigger part. On the male side, Matt Dillon is probably the best, giving a subtle performance that surprises with every twist. Kevin Bacon has a slightly wooden character, but he makes the most of it.  And judging from many of the women's reactions in the theater to that shot, they have grown a deeper appreciation for Bacon (yeah, right). And then there is Bill Murray. His performance is the comic relief, and he nearly steals the film. As a whole, the entire cast works wondrously together, and they seem at home, even when doing the menage a troi.
Director John McNaughton, who has previously done the critically acclaimed HENRY: PORTRAIT OF A SERIAL KILLER, has constructed a wonderfully twisty plot that works. His direction is smooth and stylish. The visuals are striking, filled with rich colors, and almost so realistic that we can actually breathe the humidity in the air. However, he seems more at home when the actors aren't talking. His fly-by shots of the swampy areas are brilliant, and his photography of Denise Richards' climbing out of the pool is a highlight. The cinematography is gorgeous in its details. Its not often that you see a film like this, and we should watch it just to see how the camera can take pictures. Then, there is the music. This was probably the most obvious thing to me, as it set the perfect mood for the film. It's hard to describe in words, so just see the film and listen to it. It's wonderfully composed and presented. And be sure to stick around during the closing credits! McNaughton has finally put the ending credits to good use (while most comedies use it for outtakes). He has included some small scenes which help explain the preceding events. Some may say that these are lame attempts to explain the convoluted plot, but it's an entertaining way to finish the film. Plus, there are some shocking moments in these ending credits which just add to the fun.
WILD THINGS is appropriately rated R for strong sexuality, nudity, language and violence. Again, the nudity is rather unnecessary, but let's face it--people want to see it. So why not give it to them? Neve Campbell, admirably, has a no-nudity clause in her contract, and the most you see of her is from behind as she takes her top off (way to go, Neve!).  One almost wonders how they got away with the R rating. The language is quite harsh too, ranging from sexual innuendo to your average, everyday profanity. And I can't stress it enough: Don't allow kids under 18 to see this film. The target age for the movie is the 18-24 range, and that's who should see it. It's definitely not for those under 18! Did I mention that this film is rated R? However, for those that do get a chance to watch it, you will probably more likely be pleased, and may even take friends to see it the next time.
Reviewed by Respect<EMAIL_ADDRESS>http://www.aros.net/~respect/movies.html
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


--- layout: page title: About header-img: "img/about-bg.png" ---
Just a 33 year old guy looking to change his life


TSANGMINGCHUN
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Hi, . We hope you and had fun filling out the survey today, . Based on your responses, we've concluded that your favorite type of cat is , your preferred purr volume is , your preferred meow type is , and if you could have a cat in any color, it would look like =^-^= !


CPG income surges 81% to ₱1.2 B
by James A. LoyolaCentury Properties Group, Inc. reported that its net income soared 81 percent to ₱1.2 billion in the first nine months of 2019 from P661 million for the same period last year.
In a dislosure, the firm said consolidated revenues rose to 36 percent to P9.8 billion versus ₱7.2 billion year on year.
“CPG’s strong 9 months performance is the result of management’s strategy to diversify its business segments. We are very confident because the plan is materializing and income contributions from our new businesses are growing,” said CPG President and Chief Executive Officer Marco R. Antonio.
As a result of its diversification into allied real estate segments, CPG has reported higher net income streams not only from its in-city vertical developments but also from its affordable housing and commercial leasing businesses.
Of the firm’s net icome, in-city vertical developments accounted for 65 percent at ₱773 million, affordable housing for 18 percent at ₱220 million, leasing for 14 percent at ₱166 million, and property management for 3 percent at ₱35 million.
“We expect to sustain the company’s strong performance in the coming months which will be supported by our upcoming project completions and the pipeline that is aligned with our diversification strategy,” said Ponciano S. Carreon, Jr., CPG’s Chief Finance Officer and Head for Investor Relations.
He added that, “we are continuously mindful of keeping our balance sheet robust and healthy and making our operations even more efficient.”


Aston Villa star receives shock international call up ahead of Wolves clash
The 22-year-old striker has been selected for Brazil duty
by Ashley Preece, https://www.facebook.com/PreeceBirminghamLive/Aston Villa striker Wesley Moraes has been called up by Brazil for the first time, it has been announced.
The 22-year-old will replace crocked Ajax forward David Neres and will fly out to South America with Villa teammate Douglas Luiz - already named in Tite's squad - next week.
Wesley arrived for £22m from Club Brugge in the summer, smashing Villa's transfer record.
So far, in 11 Premier League games, he has scored four goals - including a well-taken brave at Norwich City in a game where he also missed a penalty.
The forward will once again lead the line for Dean Smith against Wolves at Molinuex on Remembrance Sunday.
He has been asked to lead the line alone during his first season in the Premier League with Villa short of back up options following injuries to Jonathan Kodjia and Keinan Davies.
"I am very happy playing in the Premier League, in the biggest competition in the world," said Wesley when asked earlier this season about his move to Villa.
"Every day, I think about the past - what I was thinking when teams were saying no to me - so I'm very happy now that I have this job."
Aston Villa latest
This is your round up of all things Villa; the one-stop shop that will keep you updated on the latest goings on at the club and beyond.
Transfers, injuries, match-days and managers, we’ve got you covered.
We’ll be bringing the very latest on the Villains throughout the week and around the clock.
Make sure you keep yourself updated with our handy daily catch up...
Must reads...
- 'Playing in the wrong division' - Pundit hints at Aston Villa transfer mistake
- All change - why Liverpool XI to play Aston Villa in Carabao Cup may not be as young as we first thought
- 'The noise' - Dean Smith's Wesley verdict that Aston Villa fans will love
- ‘Can we ask?’ - Liverpool boss Jurgen Klopp makes this offer to Aston Villa
- 'Out of gas' - Dean Smith issues injury update ahead of Aston Villa's trip to Wolves
For all your latest AVFC news, opinion, analysis and transfer gossip, click here
You can follow our Villa reporter Ashley Preece on Twitter, and his email address is Ashley.Preece@reachplc.com.


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Some content!
let x = [1..10]
Some basic text
import MonadNondet (option) import Sudoku import System import Control.Monad solve = forM [(i,j) | i <- [1..9], j <- [1..9]] $ \(i,j) -> do v <- valAt (i,j) -- ^ for each board position when (v == 0) $ do -- if it's empty (we represent that with a 0) a <- option [1..9] -- pick a number place (i,j) a -- and try to put it there main = do [f] <- getArgs xs <- readFile f putStrLn . evalSudoku $ do { readSudoku xs; solve; showSudoku }
\(\chi^{2}\) is a statistic measuring goodness of fit. The quadratic formula is \(x=\frac{-b\pm\sqrt{b^2-4ac\ }}{2a}\)
[X]
Configure Zotero, zot-file, and Zotero auto-exporter
[ ]
Document the above
[ ]
Investigate org-ref html support
[ ]
Look at CSS for formatting
[ ]
Some code to make sure all links to files are valid
ATTR_HTML
attributes for the table.
| Col 1 | Col 2 |
|---|---|
| abc | def |
| ghi | jkl |
| mno | pqr |
| stu | vwx |
| y | z |
eq:my-eq is a reference to this equation.
See here.
Last modified:
Thu Jun 25 02:06:21 PDT 2015


Interface to reports logging. More...
#include <DataDistributionManager.h>
Public Member Functions | |
| virtual void | Log (const DDM_LOG_LEVEL level, const char *sourceName, const char *function, const char *format,...)=0 |
| Reports log information. More... | |
| virtual void | Log (const DDM_LOG_LEVEL level, const char *sourceName, const char *function, const char *format, va_list args)=0 |
| Reports log information. More... | |
Interface to reports logging.
Logging reporting base interface
|
pure virtual |
Reports log information.
This interface is implemented in modules to report log information level
is the DDM_LOG_LEVEL of the log reported sourceName
is the module source name of the log function
is the function, within the module, reporting the log format
is the format string to be filled with parameters args
are the arguments for the format
|
pure virtual |
Reports log information.
This interface is implemented in modules to report log information level
is the DDM_LOG_LEVEL of the log reported sourceName
is the module source name of the log function
is the function, within the module, reporting the log format
is the format string to be filled with parameters


Dairy Business
Milk production and sale monitor
SHED
PRODUCTION
Shed A
Shed B
Shed C
Shed D
Get report


{% extends "startupconfort/base.html" %} {% load humanize %} {% load hitcount_tags %} {% block jumbotron %}
Confirmation number : {{confirmation}}
>Confirmation number : {{confirmation}}Your order will be delivered within 5-8 business days. Your confirmation number is


Event Location:
Hotel "Cosmopolite"
6 Vadima Getmana str.
Kyiv, Kiev Oblast, Ukraine
Abstract:
This is not your regular Agile yada yada BIML session. By now you already know that BIML is a great productivity enhancement to SSIS. You also know that you can build metadata driven solution and include C# code in your BIML scripts or snippets. If you don't know what I'm talking about this session is not for you. If you - on the other hand - want to know how to build a modular BIML framework, do real C# development and include it in your BIML code so that you can pass custom objects around for optimized performance and code reuse then this session is for you. I promise you no more than 5 slides but a lot of demos and real life experience acquired from major BIML projects. We will also have a look at how to harness integration and unit tests in the setup with a twist of Continuous Integration.
Speaker(s): Regis Baccaro,
Abstract:
The R integration brings a lot of benefits and new scenarios to on premises data platform systems: • R can greatly simplify collection of different data. • Data manipulation and preparation can also be way easier with R. • You can use R to quickly explore and visualize data. • Last but not least, R brings the whole power of modern data mining techniques to SQL Server. As if this was not enough, you can use familiar user interface and SQL Server Enterprise R Services to work with large datasets and multi-threaded, multi-core, multi-process computations. So, even if you don’t know R at all, come and see how natural this language is for everybody who already think in rows and columns.
Speaker(s): Marcin Szeliga,
Abstract:
DML operations mean lots of work for the database engine of Microsoft SQL Server. Understanding the details of a transaction may give you great benefits when planning workloads for INSERT, UPDATE and DELETE operations. This session will demonstrate the huge difference of allocation data in a heap and in a clustered index. If you don't know the benefits of correct record size and / or you are wondering how you could release allocated data pages in a professional way this session may give you all the answers. - data page allocation and its difference for heaps and clustered indexes - what is the amount of translog when you update data in a heap and/or in a clustered index - delete data from a heap and what is the huge difference to a clustered index? - speed up ETL processes by usage of the right strategy for INSERTS and DELETES - Page Splits vs. Forwarded Records - do you really need a clustered index in a table? Pro's and Con's of clustered indexes for DML operations
Speaker(s): Uwe Ricken,
Abstract:
This was never showed before, a Hacker and DBA fighting against the time! The brilliant hacker mind trying to intrude and gain access inside of SQL Server to steal the most valued data using the Kalil Linux distribution when in other side the DBA avoing such achievement by using the security best practice and features available on SQL Server. A Hacker's goal is to find vulnerabilities in a system and a DBA's goal is to make the environment secure and reliable. In this session we will learn how to protect SQL Server from the various forms of attacks that a smart hacker can throw at you. Let's dig in the Hacker thought process to understand the inception of the attack and how to defeat the invasion. Join with me in this internal session using SQL Server and Kali Linux for the ultimate security showdown!
Speaker(s): Luan Moreno Medeiros Maciel,
Abstract:
With the release of the public preview versions of SQL Server 2016 we were finally able to play with, in my opinion, one of the most exciting new features in SQL Server 2016, the Query Store! The Query Store serves as a flight recorder for your query workload and provides valuable insights into the performance of your queries. It doesn’t stop there however, using the performance metrics the Query Store records, we can decide which Execution Plan SQL Server should use when executing a specific query. If those two features aren’t enough, the Query Store provides all this information inside easy-to-use reports and Dynamic Management Views (DMVs) removing a great deal of the complexity of query performance analysis. During this session we will take a thorough look at the Query Store, it’s architecture, the build-in reporting, DMVs and the performance impact of enabling the Query Store. No matter if you are a DBA or developer, the Query Store has information that can help you!
Speaker(s): Enrico van de Laar,
Abstract:
The Internet of Things is becoming reality at a rapid pace. Many objects in the real world can be connected to the Internet. Cloud computing is the best option for the IoT backend. Microsoft Azure offers the best set of services, required for the Internet of Things solutions, including a wide set of storages, websites, cloud services, Azure Service Bus / Event Hubs, Mobile Services, AD authentication and many data platform and BI related products like Azure SQL Database, DocumentDB, Azure Storage, Azure Stream Analytics, Machine Learning, Power BI and more.. This talk is about the main business cases and main architectural challenges, related to the actual and new IoT systems and particularly predictive services, based on Microsoft Azure.
Speaker(s): Mihail Mateev,
Abstract:
Why Upgrade? Data Platform Upgrade topic has been a popular session that I've presented in major conferences like Microsoft Tech-Ed (North America, Europe India) and SQLbits since 2008. In this session, we will overview in depth end-to-end upgrade process that covers the essential phases, steps and issues involved in upgrading SQL Server (2000 to 2012), SQL Server 2014 (with a good overview on 2016 too) by using best practices and available resources. What to-do and what not-to-do? A popular session that I have been presenting since the year 2008, in MS Tech-Ed, SQL Saturday SQLbits UK. We will cover the complete upgrade cycle, including the preparation tasks, upgrade tasks, and post-upgrade tasks. Real-world examples from my Consulting experience expanding on why how such a solution.
Speaker(s): Satya Jayanty,
Abstract:
The world has changed. The work is changing. Some feature from our dreams come true. In The World of Cloud we can store our data in the cloud. We can create Backup and very easy (?) Restore to and from any point of The World of The Cloud. But... how to manage that? Which tools, applications, ideas, solutions we can use for this? In this workshop we will test our cloud environment, and solutions. We will focus on Windows Azure SQL Database, SQL Server on Premise, BLOB Storage and many of free tools which we can use for our comfortable work. We will talk about best and worse practices and of course we will test those procedures. Requirements for this workshop: * Windows 8 or 8.1 (preffered) / Windows 7 is possible (some workshop feature will not work) / Windows 10 is possible too * SQL Server 2012 minimum in Standard Edition installed (SQL Server 2014 preffered) {LINK: http://bit.ly/1I7gEn4} * Active Microsoft Azure Account {LINK: http://bit.ly/1n0AV52}
Speaker(s): Tobias Koprowski,
Abstract:
With Azure Data Lake a new SQL-based language called U-SQL has been introduced, that combines the familiarity of SQL with new extensions for Big Data processing and easier user-extensibility. In this session I will explain the main concepts of the new language and show examples of how to use it to query unstructured, semi-structured and structured data. Discover the similarities to the SQL and database objects you know and call out some of the important differences. We will discuss tools and practices to monitor, tune and improve performance of U-SQL. What parameters to look for, how to absorb metrics, what features to tune and how to make sure you can run massive scale Big Data environments.
Speaker(s): Vitalii Bondarenko,
Abstract:
The session begins with „JSON“ and shows with a syntax-comparison the similarities to XML. Both the different operational scenarios and the technical background of JSON and XML, however, require a different range of functions and language. Therefore, initially, as far as practicable the parallels will be demonstrated. Especially the T-SQL extensions „FOR JSON“ and „OpenJSON“ are very similarly implemented in comparison to „FOR XML“ and „OpenXML“. Furthermore the new functions „IsJSON“, „JSON_VALUE“ and „JSON_QUERY“ are now contained in T-SQL. Do they also have these as T-SQL functions for XML or can these results be calculated with XML-methods? Additionally, XML has some more features which concern saving ( and indexing ) and requesting (in particular with XQuery) in relational tables. These will also be demonstrated exemplary. The goal of the session is to show, when which language is of advantage in which case.
Speaker(s): Alexander Karl,
Abstract:
Continuous Integration is not normally associate with data warehouse projects due to the perceived complexity of implementation. John will be showing how modern tools make it simple to apply continuous integration techniques to data warehouse projects. In particular, the session will cover: * Setting up SQL Server Data Tools for automated deployments: DAC Publish profiles SQLPackage.exe * Automating your build and deployments with PowerShell and psake * Guide to configuring TeamCity as your build server * Automated Integration and Regression testing of your Data Warehouse using NBi test framework * Automating cube and tabular model deployment * On-going management of OLAP databases using the SSAS Partition Manager
Speaker(s): John Tunnicliffe,
Abstract:
В этом тренинге Вы научитесь как использовать Power BI Desktop+Power BI Service чтобы создавать готовые решения, которые включают информационные dashboards, возможности self-service анализа и BI на мобильных устройствах. Во время курса мы создадим решение использующее различные источники данных с интерактивной визуализацией, которое может быть использовано как локально аналитиками так и совместно с другими пользователями в облачном сервисе Power BI Service. В курсе так же будут рассмотрены компоненты традиционных BI решений, архитектура Power BI и их различие в подходах и применении. По окончанию курса Вы будете знать - как использовать PowerQuery для объединения и трансформации данных из нескольких источников; PowerPivot и DAX для моделирования данных, создания вычислений и KPI; как создавать информативные и интерактивные отчёты в Power BI используя различные способы визуализации, как организовать совместную работу с информацией с использованием Dashboards и Groups в Power BI Service
Speaker(s): Sergiy Lunyakin,
Abstract:
During this session we will talk about DevOps practices in general and also see some demos about how to automate your builds, how to manage your releases, how to manage different environments and create them on a fly. I will show the demo app which consists of 3 parts - client app, server api and database. I will show how to automate builds for all parts of your project. I will show how to provide different configuration settings for different environments. I will show how you can create new environment on a fly, deploy your app there, run some integration and UI automation tests, etc. I will show how to automate all routine stuff and focused more on innovation, not maintenance.
Speaker(s): Anton Boyko,
Abstract:
In order to ascertain the abilities of cloud computing platform, let us overview what is available offered on Microsoft Azure. Microsoft Azure has the ability to move, store and analyze data within the cloud. It is essential to evaluate multiple opportunities and options with Microsoft Azure data insights. In this session let us talk about strategies on data storage, data partitioning and availability options with Azure. A tour on how best these Azure components can help you achieve success for your Big Data platform.
Speaker(s): Satya Jayanty,
Abstract:
During the session we will talk about how to avoid modification anomalies and improve the performance of your DBMS.
Speaker(s): Mariya Shirokopetleva,
Abstract:
Что нового в 2016 табуляре? Ка использовать его? Что такое Super DAX? А тут есть и переменные? Обсудим новинки dax и архитектуры табуляр.
Speaker(s): Eugene Polonichko,
Abstract:
A common requirement in database applications is that users need a function to search a set of data from a large set of possible search conditions. The challenge is to implement such searches in a way that isboth maintenanble and efficient in terms of performance. This session looks at the two main techniques to implement such searches and highlights their strengths and limitaitons.
Speaker(s): Erland Sommarskog,
Abstract:
SQL Server provides a wealth of excellent functionalities and tools that are able to greatly facilitate the life of a database administrator. During this session we will discuss the Policy Based Management and PowerShell, we’ll show how to manage not only a single SQL Server instance, but also multiple instances. All this in practical way – most of the time we will spent on demonstrations, not sterile theory.
Speaker(s): Andrzej Kukula,
Abstract:
Anomaly detection is one of the most advanced data mining and machine learning tasks. There are many statistical procedures and data mining algorithms that can be used for it, including Expectation-Maximization Clustering, and Principal Component Analysis. In this session, you will learn through presentation and demos how to detect the low quality data areas with some basic statistics and with advanced algorithms. You will see how you can use T-SQL queries, R code in SQL Server, SSAS Data Mining, and Azure ML for this complex task.
Speaker(s): Dejan Sarka,
Abstract:
On this session, I will describe the principles of in-memory internals and usage. After the session, you can find opportunities how to implement this modern technology in your environment and improve a performance. We will dive into all processes inside new in-memory engine and will get understanding how to use all sort of objects like: 1. Durable/non-durable tables 2. New sorts of indexes 3. Native compiled objects 4. Table-valued functions Etc...
Speaker(s): Oleg Alekseev,
Abstract:
MS SQL Server надає дві можливості для зберігання тимчасових наборів даних: тимчасові табиці та табличні змінні. Вважається, що табличні треба використовувати для маленьких об'ємів даних (бо вони живуть в оперативній пам'яті), а тимчасові таблиці - для великих. Подивимося, чи дійсно це так; чи можна за такими характеристиками порівнювати ці об'єкти.
Speaker(s): Andrii Zrobok,
Abstract:
При работе с XML и XQuery существует великое множество #171;подводных камней#187;, которые могут приводить к каверзным проблемам с производительностью. В рамках доклада будут рассмотрены общие рекомендации о как эффективно создавать, хранить и обрабатывать XML.
Speaker(s): Sergey Syrovatchenko,
Abstract:
Power BI enables you to create beautiful and very informative dashboards for business users. You can use embedded connectors to many sorts of data sources for getting your data. Moreover, you can get data from real-time data sources as well, for instance monitoring systems, sensors, web sites etc, and get the most from your data. Join this session to learn how to use PowerBI REST API to add real-time dashboards.
 This session delves into Microsoft's play in the Big Data workload, and paints the end-to-end picture of effective solutions. Session covers the importance of building a Data Lake, nurturing its potential with Hadoop and other analytics options and an important chapter in the Microsoft Data Platform story.
Speaker(s): Umit Sunar,
Abstract:
2AM. We sleeping well. And our mobile ringing and ringing. Message: DISASTER! In this session (on slides) we are NOT talk about potential disaster (such BCM); we talk about: What happened NOW? Which tasks should have been finished BEFORE. Is virtual or physical SQL matter? We talk about systems, databases, peoples, encryption, passwords, certificates and users. In this session (on few demos) I'll show which part of our SQL Server Environment are critical and how to be prepared to disaster. In some documents I'll show You how to be BEST prepared.
Speaker(s): Tobias Koprowski,
Abstract:
В данном докладе я попытался объединить лучшие практики по использованию и обслуживанию индексов. О чем будем говорить: 1. Кластерные, некластерные, фильтрованные индексы. Зачем они нужны, в каких случаях необходимо их создавать и какими они должны быть. 2. Как правильно писать запросы, чтобы не исключать возможности использования индексов. 3. Как правильно обслуживать индексы, чтобы не оказать SQL Server "медвежью услугу". Будет мало текста - будет, в основном, демонстрация! О чем не будем говорить: 1. XML, Columnstore индексы. 2. Внутренняя архитектура хранения индексов.
Speaker(s): Andriy Pogorelov,
Abstract:
PostgreSQL very popular RDBMS. In this talk I will describe interesting abilities of this database to handle Big Data, such as build-in data types and functions, various indexes, sharding methodology, various extensions, backup strategies.
Speaker(s): Alexey Vasiliev,
Abstract:
There are a number of challenges while collaborating on database development. When someone in a team changes database objects in a shared database, another team member may overwrite those changes. This will lead to the data loss. The best way to resolve such challenges is to start using database version control. In this session, we will talk about the source control basics, and also have a look at how to start source controlling your SQL Server databases.
Speaker(s): Andrey Langovoy,
Abstract:
SQL Server 2016 introduces new features that can make day-to-day life of DBA much easier. On the session there will be presented new feature Query Store that provides DBAs with insight on query plan choice and performance. It simplifies performance troubleshooting by enabling you to quickly find performance differences caused by changes in query plans. Live Query Statistics will be also shown that provides real-time insights into the query execution process.
Speaker(s): Michal Sadowski,
Abstract:
Service Broker is one of the interesting but not so widely known SQL Server feature. It allows processing massive workloads without need to wait until processing is done because it is asynchronous in contradiction to stored procedure. Processing of workloads and other interesting scenarios of Service Broker feature usage will be covered during the session. You will see many interesting demo scripts that allow you to start using asynchronous processing straight away after the session. There will be also information about messages, contracts, queues, services, conversations, activation and all other stuff you need to know.
Speaker(s): Tomasz Libera,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
LinkedIn: https://pl.linkedin.com/pub/michal-sadowski/4/b33/717
Contact: https://sqlplayer.net/michal-sadowski
Senior Database Platform Engineer, leader of Krakow chapter of Data Community Krakow (former Polish SQL Server User Group) - PASS Chapter. With more than 10 years of experience in Microsoft technology, helps in advisory for performance optimization on database and application levels. Active speaker on SQL Server related events like SQLSaturday, SQLDay, MCT Global Summit etc. Holds many Microsoft certificates including MCSE: Data Platform, MCSA: SQL Server 2012/2014/2016, MCSA: Windows Server 2008/2012/2016 and MCT.
LinkedIn: https://www.linkedin.com/in/eugenepolonichko/
Contact: https://msolapblog.wordpress.com/
Leader of PASS Local Chapter in Donetsk (Ukraine). I work as DWH/BI architect. Responsible for designing and developing Data Warehouse and BI solutions with using Microsoft BI Stack products.
Alexander Karl is database-developer and certified MCT for Windows and SQL Server with .net-CDE GmbH. For more than 18 years he has been working with Database-, Datawarehouse- and Reporting-Solutions for companies from medium-sized enterprises to Group level. His spectrum includes Serversizing, Programming to optimize performances as well as Report- and Chartdesign; in trainings and seminars he conveys participants well-founded theoretical knowledge complemented with his practical.
Contact: http://www.sommarskog.se
Erland Sommarskog is an independent consultant based in Stockholm, working with SQL Server since 1991. He was first awarded SQL Server MVP in 2001, and has been re-awarded every year since. His focus is on systems development with the SQL Server Database Engine and his passion is to help people to write better SQL Server applications.
LinkedIn: https://pl.linkedin.com/in/tomaszlibera
MVP Data Platform, MCT, leader of Krakow Data Community Poland user group. Organizer of SQLDay and SQL Saturday conferences. SQL Server Developer and academic trainer. Speaker at group meetings and conferences.
Contact: http://blogs.solidq.com/dsarka/Home.aspx
Dejan Sarka, MCT and Data Platform MVP, is an independent trainer and consultant that focuses on development of database and business intelligence applications. Besides projects, he spends about half of his time on training and mentoring. He is the founder of the Slovenian SQL Server and .NET Users Group. Dejan Sarka is the main author or co-author of eighteen books about databases and SQL Server. Dejan Sarka has also developed many courses and seminars for Microsoft, Radacad, SolidQ, and Pluralsight.
LinkedIn: http://www.linkedin.com/profile/view?id=270775013amp;trk=tab_pro
Contact: http://www.sqlmaster.de
Uwe Ricken is working with IT systems since the 90’s. The primary passion for developments with Microsoft SQL Server expanded in 2007 with his engagement as a DBA for Deutsche Bank AG in Frankfurt am Main. After 6 years of operational experiences as a DBA and over 14 years as a developer of complex database models he achieved the “Microsoft Certified Master – SQL Server 2008” certification which “was” the highest technical certification. In the same year he earned his first award as a Data Platform MVP for his support to the Microsoft SQL Server community in Germany and Europe. Uwe Ricken is a speaker on many international conferences and events and preferred topics are “Database Internals”, “Indexing” and “Development”.
LinkedIn: https://uk.linkedin.com/in/koprowskit
Contact: http://koprowskit.eu/geek/
Founder of Shadowland Consulting. In January 2015 decided to permanently leave Poland and discover new worlds. Actually settled in Hucknall (The Last home of The Byron Family). Community leader focused on SQL Server, SharePoint, security, collaboration and ITIL, DR, BCM, and SLA. Love licensing stuff. Microsoft Certified Trainer, freelancer, and consultant. Subject Matter Expert at Microsoft. Member of Microsoft Terminology Community, Friends of RedGate PLUS, PASS, ISSA, ACM and more. Since 1st July 2010 Data Platform MVP. Creator of SQLDAY Conference and Conference CEO 2009-2011. Co-Leader of PASS East Midlands Group. Speaker at group meetings and conferences. STEM Ambassador. Traveler. Coffee Addicted.
LinkedIn: http://nl.linkedin.com/pub/enrico-van-de-laar/33/882/756/
Contact: https://www.enricovandelaar.com
Enrico has been working with data in all kinds of formats and sizes for over 15 years. He is a Data Advanced Analytics Consultant for Dataheroes where he helps organisations take their first steps in the world of Advanced Analytics. Enrico is a Data Platform MVP since 2014 and a frequent speaker on various data related events all over the world. He authored the book “Pro SQL Server Wait Statistics” and blogs about technologies like Microsoft SQL Server and Azure Machine Learning on his blog at www.enricovandelaar.com
LinkedIn: https://uk.linkedin.com/sqlmaster
Contact: http://www.sqlserver-qa.net
My experience surrounded with high focus on the data platform with a track record of defining strategy, designing and delivering digital transformation migrations with major enhancements to current working methods. Worked in a capacity of Head of Data Engineering, Enterprise Data Architect and Solutions Key career accomplishment recognition as an industry expert technical excellence from the Microsoft as Data Platform Most Valuable Professional (MVP) recognition since the year 2006 (13 years as MVP and counting), which recognizes exceptional technical community leaders worldwide who actively deliver, present share their extraordinary contributions, high quality, and real-world expertise. Twitter pod (http://twitter.com/sqlmast
LinkedIn: http://dk.linkedin.com/in/regisbaccaro
Contact: http://theblobfarm.wordpress.com
Regis has more than 15 years of experience with SQL Server, SharePoint and .Net as an architect and developer. R#233;gis is a SQL Server MVP since 2014 and a frequent speaker at SQL conferences, a PASS Regional Mentor and the founder of SQL Saturday Denmark community event. He is also a certified industry trainer on the APS/PDW platform. In his freetime he is an avid runner, cook and farmer.
LinkedIn: http://www.linkedin.com/in/drjohntunnicliffe
Contact: https://devops-your-dwh.com/
Dr John Tunnicliffe is a well-respected designer and architect of business intelligence solutions who likes nothing more than getting his hands dirty with real life coding problems. John is a recognised expert in applying continuous integration techniques to data warehouse projects, thereby ensuring code is automatically built, deployed and tested as changes are made by the development team. As a regular speaker at the SQLBits conference and PASS SQL Saturday events, John has covered topics such as building an infrastructure to support real-time OLAP and continuous integration and the data warehouse.
LinkedIn: https://www.linkedin.com/in/slunyakin
Contact: https://slunyakin.wordpress.com
Sergiy Lunyakin (MCSA, MCSE, MCTS) is a Big Data Architect at SoftServe, Inc. He has extensive experience in designing and developing Big Data Analytics, Data Warehouse, and BI solutions, using both on-premises and cloud products. In 2016, Sergiy became Microsoft Data Platform MVP and has since maintained his MVP status. Sharing knowledge is another one of his passions. He regularly speaks at international conferences such as SQLSaturday, SQLDay, SQLNexus, and SQLBits. He also runs the Lviv SQL Server User Group in Ukraine and organizes SQLSaturday Lviv.
LinkedIn: https://www.linkedin.com/profile/public-profile-settings?trk=prof-edit-edit-public_profile
Contact: https://luanmorenodba.wordpress.com/ amp; http://www.sqlshack.com/author/luan-moreno-m-maciel/
Based out of Brazil, Luan Moreno credits his ability to solve problems to thinking critically before acting. He values working with a team because he and his clients can benefit from various perspectives and collaboration, particularly when faced with difficult issues. When Luan Moreno first became interested in technology, he didn’t have a mentor, so he made a commitment to teaching others in the community and sharing his knowledge through blogging, speaking engagements. Luan Moreno is a addicted Brazilian blogger and speaker. SQL Server MCT, MCSE and MVP living in Brazil. Nowadays he#39;s a Database Consultant at Pythian, company based in Ottawa - Canada.#160;
LinkedIn: https://ua.linkedin.com/in/pogorelovandrey
I have been dealing with database administration and development for more than 16 years. Started from SQL Server 2000 - Active member of Data Platform community - Organizer of SQLSaturday Kharkiv - Speaker at various Data Platform related events - I possess Microsoft certificates: MCDBA, MCITP, MCSA.
LinkedIn: https://www.linkedin.com/in/slunyakin
Contact: https://slunyakin.wordpress.com
Sergiy Lunyakin (MCSA, MCSE, MCTS) is a Big Data Architect at SoftServe, Inc. He has extensive experience in designing and developing Big Data Analytics, Data Warehouse, and BI solutions, using both on-premises and cloud products. In 2016, Sergiy became Microsoft Data Platform MVP and has since maintained his MVP status. Sharing knowledge is another one of his passions. He regularly speaks at international conferences such as SQLSaturday, SQLDay, SQLNexus, and SQLBits. He also runs the Lviv SQL Server User Group in Ukraine and organizes SQLSaturday Lviv.
LinkedIn: https://uk.linkedin.com/sqlmaster
Contact: http://www.sqlserver-qa.net
My experience surrounded with high focus on the data platform with a track record of defining strategy, designing and delivering digital transformation migrations with major enhancements to current working methods. Worked in a capacity of Head of Data Engineering, Enterprise Data Architect and Solutions Key career accomplishment recognition as an industry expert technical excellence from the Microsoft as Data Platform Most Valuable Professional (MVP) recognition since the year 2006 (13 years as MVP and counting), which recognizes exceptional technical community leaders worldwide who actively deliver, present share their extraordinary contributions, high quality, and real-world expertise. Twitter pod (http://twitter.com/sqlmast
LinkedIn: https://uk.linkedin.com/in/koprowskit
Contact: http://koprowskit.eu/geek/
Founder of Shadowland Consulting. In January 2015 decided to permanently leave Poland and discover new worlds. Actually settled in Hucknall (The Last home of The Byron Family). Community leader focused on SQL Server, SharePoint, security, collaboration and ITIL, DR, BCM, and SLA. Love licensing stuff. Microsoft Certified Trainer, freelancer, and consultant. Subject Matter Expert at Microsoft. Member of Microsoft Terminology Community, Friends of RedGate PLUS, PASS, ISSA, ACM and more. Since 1st July 2010 Data Platform MVP. Creator of SQLDAY Conference and Conference CEO 2009-2011. Co-Leader of PASS East Midlands Group. Speaker at group meetings and conferences. STEM Ambassador. Traveler. Coffee Addicted.
LinkedIn: http://www.linkedin.com/pub/mihail-mateev/1/6b3/4b1
Contact: https://mmateev.wordpress.com/
Mihail Mateev is a technical consultant, community enthusiast, PASS Regional Mentor for CEE, chapter lead, Microsoft Azure MVP, Microsoft Regional Director. He works as a Senior Solutions Architect at EPAM Systems, focused on Data Platform, IoT and cloud related solutions. He also worked many years like a Technical evangelist in the Infragistics. Last years Mihail was focused on various areas related to technology Microsoft: Data Platform, Visual Studio, ASP.Net, Windows client apps, Data Platform, and Microsoft Azure. Michael also has a PhD in cloud computing area. He is a university lecturer on Smart Homes and Smart Energy IoT Solutions.
Contact: http://blogs.solidq.com/dsarka/Home.aspx
Dejan Sarka, MCT and Data Platform MVP, is an independent trainer and consultant that focuses on development of database and business intelligence applications. Besides projects, he spends about half of his time on training and mentoring. He is the founder of the Slovenian SQL Server and .NET Users Group. Dejan Sarka is the main author or co-author of eighteen books about databases and SQL Server. Dejan Sarka has also developed many courses and seminars for Microsoft, Radacad, SolidQ, and Pluralsight.
Senior Lecturer, Kharkiv National University of Radio Electronics. Inrteresy: databases, artificial intelligence
LinkedIn: https://ua.linkedin.com/in/andreylangovoy
Contact: http://codingsight.com
Andrey Langovoy is a team leader at Devart. He takes part in development and testing database management tools for SQL Server, writes articles about SQL Server and contributes to open source projects, MSDN and MDN.
LinkedIn: https://www.linkedin.com/in/andrzejkukula
Consultant and trainer in SQLExpert.pl with more than 20 years of IT experience. Architect of HA/DR solutions, BI solutions, Data Platform solutions, cloud solutions. Solves SQL Server related problems, including performance tuning. Passionate about SQL Server and programming. Speaker at various conferences including SQLSaturday, SQLDay, SQLNexus, AzureDay, Global Azure Bootcamp and local user groups.
LinkedIn: https://www.linkedin.com/in/azrobok/
25+ years of experience in database development: development data-centric applications from scratch, support of legacy databases/applications, data migration tasks, performance tuning, consulting, database trainer. I have experience with wide range of databases such as FoxPro for DOS (Fox Software), MS SQL Server (started from version 6.5) , Oracle, Sybase ASE, MySQL, PostgreSQL. Co-Leader of PASS Local Chapter in Lviv. Speaker at PASS SQLSaturday conferences (since 2013); PASS Lviv/Vinnitsa/Virtual SQL Server User Group, EPAM IT Week (2015-2017), AIBig Data Day 2019.
I've been designing data-centric systems for last 20 years and have gained huge experience in developing BI, AI and Big Data solutions. For the last 5 years I've mostly been focused on enterprise platform designing and implementing different innovative approaches for Fast Data Processing. At the moment I'm responsible for building Processional Services in Cloud Solutions for Enterprise Customers.
LinkedIn: https://ae.linkedin.com/in/umitsunar
Umit Sunar has been working in IT Industry since 2000 and he is currently working as Cloud Solution Architect (Azure) at Microsoft MEA HQ. Based in Dubai and traveling a lot for business and entertainment. Formerly, he is an aeronautics engineer originally supposed to build airplanes. In technical keywords, he received his first development certificate from Borland at 1992 and continued development in many platforms including C, PHP, Pascal Fortran, Python, Java, C#, Node.js and maybe couple more that he forgot writing this. He is passionate about Cloud Computing for 8+ years and even created a small cloud environment in 2008 He doesn’t like the word “geek” but likes a lot traveling, cooking and smiling.
Contact: http://leopard.in.ua
Ruby on Rails разработчик и Linux администратор в компании Railsware. Является автором таких продуктов как: PopCornUA, MongodbLogger, SmtRails, PIRO, Webp-ffi, Zopfli-ffi и многих других. Алексей является автором открытого учебного пособия по PostgreSQL на русском языке и по Chef на английском языке. Активный докладчик в различных IT конференциях.
LinkedIn: https://pl.linkedin.com/in/marcinszeliga
Data Philosopher. Since 2006 invariably awarded Microsoft Most Valuable Professional title in the Data Platform category. A speaker at numerous conferences across Europe, as well as at user groups meetings. The author of many books and articles devoted to Microsoft Data Platform. An independent consultant, database-centric application practitioner and architect totally focused on SQL Server and Azure. Huge fan of Data Science and Machine Learning.
12 years of experience with MS SQL Server. Used to work for Banks, International IT-companies, Microsoft. The main specializations - SQL core, DBA.
DBA
LinkedIn: https://www.linkedin.com/in/boykoant
Founder and main speaker at Ukrainian Microsoft Azure Community. 15+ years in application development. Builds apps based on Microsoft Azure platform since 2011. Microsoft Azure technical expert. Microsoft Azure MVP since 2014. Owner and one of the organizers of the most popular Microsoft Azure conferences in Ukraine: Azure Day and Global Azure Bootcamp.
The following is a list of sponsors that helped fund the event.


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Spike train utility methods.
Utility methods for reading spike train files as well as to analyze spike train matrices and vectors.
See also
SpikePlot for visualization of spike trains.
AUTHORS:
THOMAS MCTAVISH (2010-03-01): initial version
filtering. Refactored as spiketrain instead of spiketrainutil.
For each spike in the reference train, determine the closest spike time in the other train at least within some window.
| Parameters: |
|
|---|---|
| Returns: | A dict where the keys are indices of the reference train and the time difference of the closest spike in the comparing train is the value. |
The coincidence factor between two spike trains is defined as
where are the number of spikes in the reference train, is the number of spikes in the comparing train, is the number of coincident spikes within a time window , is the expected number of coincident spikes that would be given by chance if the spikes in the comparing train were generated by a homogeneous Poisson process with its rate . This correlation measure has the range [-1, 1] where 1 is perfectly correlated, 0 is not correlated, and -1 is perfectly anti-correlated.
| Parameters: |
|
|---|---|
| Returns: | Coincidence factor |
| Parameters: |
|
|---|---|
| Returns: | A vector of length num_intervals that corresponds to coincidence factor values from a shift of -isi/2 to isi/2. |
Get the fraction of coincident spikes between two trains. Coincidence is defined as a spike co-occurring within some time window.
| Parameters: |
|
|---|---|
| Returns: | A vector of length 1 + 2*timewindow/dt. If normalize is True, return a tuple as (normalized_coincidences, coincidences, expected_coincidences, total_spikes). |
Get the correlogram of coincident spikes between two trains. Coincidence is defined as a spike co-occurring within some time window. The number of coincidences is returned as a vector of len(1 + (2*timewindow)). This means that the middle index is the value at lag zero ms.
| Parameters: |
|
|---|---|
| Returns: | A vector of length 1 + 2*timewindow/dt. |
Convolve a 1D spike train with a kernel and return the resulting vector. This is useful for blurring or otherwise smearing spike times with a particular function, like a gaussian, a linear decay.
| Parameters: |
|
|---|
See also
| Parameters: | origin – can be a string or an integer.: |
|---|
| Parameters: |
|
|---|---|
| Returns: | A 1D vector of the filtered spikes. |
Perform a cross-correlation between two spike trains after filtering them to be continuous time domain vectors.
| Parameters: |
|
|---|---|
| Returns: | Tuple (raw_val, norm_factor, expected_val) where raw_val is a scalar if mode='valid' or a vector if mode is a different value. norm_factor the value (scalar) of train_a correlated with itself. expected_vaL the value (scalar) of the mean of each correlated with itself. |
Project the spike times from a 2d spike map to an ordered list in one dimension. This is similar to numpy’s flatten() method, but numpy requires a rectangular matrix. In our case, each row of the spikes array can have a variable number of spike times, and even be empty.
Get the mean frequency of a spike train. Assumes time is in ms.
Get the histogram of one or more spike trains. This is a means of quantizing 1D spikes as well.
| Parameters: |
|
|---|---|
| Returns: | A tuple of the form (discrete, bin_edges). |
Given an ordered list of spike times, return its interspike interval vector.
| Parameters: | train – 1D list or numpy array of spike times |
|---|---|
| Returns: | A 1D vector of length len(spikes)-1 of the time differences in spikes. |
numpy.diff
Get the mean interspike interval of a given spike train.
| Parameters: | train – 1D list or numpy array of spike times |
|---|---|
| Returns: | Mean interspike interval. |
Get the median interspike interval of a given spike train.
| Parameters: | train – 1D list or numpy array of spike times |
|---|---|
| Returns: | Median interspike interval. |
With a given spike train, capture its interspike intervals and permute them into a new spike train.
| Parameters: |
|
|---|
Get the number of corresponding spikes within some time window between two trains across a number of time-shifted trials.
The number of correlated spikes between two trains that are within some time constant of each other is simply the fraction:
where is the fraction with no delay between the trains. To determine the correlation at some arbitrary delay, , we can re-write the equation as:
where is the time one train is shifted relative to the reference train.
When the trains are spiking fairly regularly and oscillating around a particular frequency, it is useful to vary over the interval
where median_isi is the median interspike interval of the reference train. This permits a measure of the relative phase of one spike train over the other. As varies over this interval, the individual values of can be stored in a vector, .
| Parameters: |
|
|---|---|
| Returns: | The following values:
|
See also
From a 2D array of spike data, retrieve the minimum and maximum spike times.
Get the spikes from the cell with this idx within a time window.
| Parameters: |
|
|---|---|
| Returns: | If idx is a scalar, then this will return the spikes associated with one cell. If idx is a list of indices, then a dict of lists will be returned. |
For two spike trains, return the mask of those spikes that are within some time window of co-occurrence in the other train.
| Parameters: |
|
|---|---|
| Returns: | Two vectors of len(train_a) and len(train_b) where a zero indicates that a spike does not co-occur in the other train, and 1 indicates that a spike co-occurs in the other train within window time. |
For two spike trains, get their masks where they have spikes that occur within window time of each other and the ratio of correlated vs. total spikes in both trains.
| Parameters: |
|
|---|---|
| Returns: | mask_a, mask_b, ratio – the correlated masks and the ratio of correlated vs. total spikes in both trains. |
Convert data from NetCon.record(tvec, idvec) vectors into a dict where the keys of the dict are the ids and the value is a list of timestamps associated with that id.
| Parameters: |
|
|---|
Example:
# nclist is a list of NetCons
t_vec = nrn.Vector()
id_vec = nrn.Vector()
for i in range(len(nclist)):
nclist[i].record(t_vec, id_vec, i)
simulate()
| Returns: | The data in a dict where the key is the cell id and the list of spike times is the data associated with the cell. |
|---|
Convert data from NetCon.record(tvec, idvec) vectors into a dict where the keys of the dict are the ids and the value is a list of timestamps associated with that id.
| Parameters: |
|
|---|
Example:
# nclist is a list of NetCons
t_vec = nrn.Vector()
id_vec = nrn.Vector()
for i in range(len(nclist)):
nclist[i].record(t_vec, id_vec, i)
simulate()
| Returns: | The data as a list of lists with each row being the spike times. |
|---|
Permute a 1D array.
| Parameters: |
|
|---|---|
| Returns: | A permuted copy of vec. |
Generator function for a Homogeneous Poisson train.
| Parameters: |
|
|---|---|
| Returns: | A relative spike time from t=start_time, in seconds (not ms). |
EXAMPLE:
# Make a list of spikes at 20 Hz for 3 seconds
spikes = [i for i in poisson_train(20, 3)]
EXAMPLE:
# Use dynamically in a program
# Care needs to be taken with this scenario because the generator will
# generate spikes until the program or spike_gen object is terminated.
spike_gen = poisson_train(20, duration=sys.float_info.max)
spike = spike_gen.next()
# Process the spike, to other programmatic things
spike = spike_gen.next() # Get another spike
# etc.
# Terminate the program.
Print the spike times of cell idx within interval window.
| Parameters: |
|
|---|
Read the spike data formatted from NEURON where each line is a timestamp of spike followed by a cell (or other spike generator) id that gave the spike.
| Parameters: |
|
|---|---|
| Returns: | The data in a dict where the key is the cell id and the list of spike times is the data associated with the cell. |
Read the spike data formatted from NEURON where each line is a timestamp of spike followed by a cell (or other spike generator) id that gave the spike.
| Parameters: |
|
|---|---|
| Returns: | The data in a vector of tuples of the format (time, gid). |
Read the spike data formatted from NEURON where each line is a timestamp of a spike followed by a cell (or other spike generator) id that gave the spike. Echo a new file in the same format, but only of those spike_ids specified in the spike_ids list. :param file_name: Input file to read. :param out_file_name: Output file to write. :param spike_ids: List of spike ids to write out.
Confirm that the origin for this kernel is valid. Raise an exception if not.
| Parameters: | origin – can be a string or an integer.: |
|---|
| Returns: | a valid integer if a string was used. |
|---|


A simple GELF client library with support for different transport mechanisms.
Currently available transports are
All default transport implementations use a queue (backed by a java.util.concurrent.BlockingQueue) to send messages in a background thread to avoid blocking the calling thread until a message has been sent. That means that the org.graylog2.gelfclient.transport.GelfTransport#send(GelfMessage) and org.graylog2.gelfclient.transport.GelfTransport#trySend(GelfMessage) methods do not actually send the messages but add them to a queue where the background thread will pick them up. This is important to keep in mind when it comes to message delivery guarantees.
final GelfConfiguration config = new GelfConfiguration(new InetSocketAddress("example.com", 12201))
.transport(GelfTransports.UDP)
.queueSize(512)
.connectTimeout(5000)
.reconnectDelay(1000)
.tcpNoDelay(true)
.tcpKeepAlive(true)
.sendBufferSize(32768);
final GelfTransport transport = GelfTransports.create(config);
final GelfMessageBuilder builder = new GelfMessageBuilder("", "example.com")
.level(GelfMessageLevel.INFO)
.additionalField("_foo", "bar");
boolean blocking = false;
for (int i = 0; i < 100; i++) {
final GelfMessage message = builder.message("This is message #" + i)
.additionalField("_count", i)
.build();
if (blocking) {
// Blocks until there is capacity in the queue
transport.send(message);
} else {
// Returns false if there isn't enough room in the queue
boolean enqueued = transport.trySend(message);
}
}


No Child Left Behind
Every student matters
Collaborative Learning
Relationships with peers
Wise Guidance
Compassionate educators


java.lang.Object
java.lang.Enum<
O >
com.aviparshan.unitOf.O
All Implemented Interfaces:
java.io.Serializable
, java.lang.Comparable<O >
, java.lang.constant.Constable
public enum O
extends java.lang.Enum<O >
Length Units
All unit values are conversions of M (Meter) at the value of 1 converted into each unit.
Nested Class Summary
Nested classes/interfaces inherited from class java.lang.Enum
java.lang.Enum.EnumDesc<E extends java.lang.Enum<E>>
Field Summary
Fields
Modifier and Type
Field
Description
double
TO_M
Method Summary
All Methods Static Methods Concrete Methods
Modifier and Type
Method
Description
static O
valueOf (java.lang.String name)
Returns the enum constant of this type with the specified name.
static O []
values ()
Returns an array containing the constants of this enum type, in
the order they are declared.
Methods inherited from class java.lang.Enum
clone, compareTo, describeConstable, equals, finalize, getDeclaringClass, hashCode, name, ordinal, toString, valueOf
Methods inherited from class java.lang.Object
getClass, notify, notifyAll, wait, wait, wait
Enum Constant Details
public static final O CBLIMP
public static final O CBLIN
public static final O CBLUS
public static final O CIN
public static final O DAM
public static final O ELL
public static final O FTM
public static final O FING
public static final O FUR
public static final O HAND
public static final O KYD
public static final O LEA
public static final O LNK
public static final O MUIN
public static final O MUM
public static final O MURM
public static final O MILM
public static final O NAIL
public static final O NLEAIN
public static final O NLEAUK
public static final O NMIINT
public static final O NMIUK
public static final O NMIUS
public static final O PER
public static final O PEM
public static final O POL
public static final O ROPE
public static final O SPAN
public static final O TIN
Method Details
public static O [] values ()
Returns an array containing the constants of this enum type, in
the order they are declared.
Returns:
an array containing the constants of this enum type, in the order they are declared
public static O valueOf (
java.lang.String name)
Returns the enum constant of this type with the specified name.
The string must match exactly an identifier used to declare an
enum constant in this type. (Extraneous whitespace characters are
not permitted.)
Parameters:
name
- the name of the enum constant to be returned.
Returns:
the enum constant with the specified name
Throws:
java.lang.IllegalArgumentException
- if this enum type has no constant with the specified name
java.lang.NullPointerException
- if the argument is null


Likhas is a portmanteau of the Tagalog words “likha” and “likas”, which means create and natural, respectively.
A photography gallery based in the South bay region of Los Angeles that offers high-quality fine art photography prints, canvases, and digital copies focusing on nature and landscape subjects from the creative duo, Steven and Jiashi.
They met in 2017 and quickly discovered their common love for both arts and nature. On their very first travel together, they decided to buy cameras on impulse. This marked the start of their journey as photography hobbyists, with the primary intent of capturing their adventures and documenting their daily musings. After closely working together for a few years – fueled by dual creativity and thoughtful collaboration – they decided to start Likhas. Through their carefully curated portfolio, they aspire to share their appreciation for nature and inspire their clients to go out and take breaks more often from the fast life that most of us are leading.
10% of profits are donated to the National Park Foundation.


Download Jawr from the documents area and place it within the classpath of your application (typically, under WEB-INF/lib). Add log4j.jar to the path as well.
Alternatively, if you are using Maven 2, add a dependency to Jawr in your POM file:
<dependency> <groupId>net.jawr</groupId> <artifactId>jawr-core</artifactId> <version>[3,]</version> </dependency>
For the quick setup, it is assumed that you have the following directories at the root of your application: /js, /js/lib and /css. Of course these may contain more subdirs. The sample configuration will create a bundle containing everything under /js/lib, named /bundles/lib.js. The remaining .js files at /js and subdirs will be served separately. As for the CSS files, a single all-in-one bundle named /bundles/all.css will be used.
Add net.jawr.web.servlet.JawrServlet to your web.xml descriptor. You will need an instance for handling Javascript, and another one for CSS stylesheets. For instance:
<servlet> <servlet-name>JavascriptServlet</servlet-name> <servlet-class>net.jawr.web.servlet.JawrServlet</servlet-class> <!-- Location in classpath of the config file --> <init-param> <param-name>configLocation</param-name> <param-value>/jawr.properties</param-value> </init-param> <load-on-startup>1</load-on-startup> </servlet> <servlet> <servlet-name>CSSServlet</servlet-name> <servlet-class>net.jawr.web.servlet.JawrServlet</servlet-class> <!-- Location in classpath of the config file --> <init-param> <param-name>configLocation</param-name> <param-value>/jawr.properties</param-value> </init-param> <init-param> <param-name>type</param-name> <param-value>css</param-value> </init-param> <load-on-startup>1</load-on-startup> </servlet> ... <servlet-mapping> <servlet-name>JavascriptServlet</servlet-name> <url-pattern>*.js</url-pattern> </servlet-mapping> <servlet-mapping> <servlet-name>CSSServlet</servlet-name> <url-pattern>*.css</url-pattern> </servlet-mapping>
This is all the configuration required to get the Jawr servlet up and running.
Now you need to create the jawr.properties descriptor file. This file should be in the application classpath in runtime, for example at the WEB-INF/classes dir. Add this content to the file:
# Common properties jawr.debug.on=false jawr.gzip.on=true jawr.gzip.ie6.on=false jawr.charset.name=UTF-8 # Javascript properties and mappings jawr.js.bundle.basedir=/js # All files within /js/lib will be together in a bundle. # The remaining scripts will be served sepparately. jawr.js.bundle.lib.id=/bundles/lib.js jawr.js.bundle.lib.mappings=/js/lib/** # The /bundles/lib.js bundle is global # (always imported before other scripts to pages using the taglib) jawr.js.bundle.lib.global=true # CSS properties and mappings jawr.css.bundle.basedir=/css # CSS files will be all bundled together automatically jawr.css.factory.use.singlebundle=true jawr.css.factory.singlebundle.bundlename=/bundles/all.css
In order to see output log messages, you need to create a log4j configuration file. For this setup, we will use a properties file which should be in the application classpath (alongside the jwr.properties file). The file should be named log4j.properties and the contents be as follows:
# Set root logger level to DEBUG and its only appender to A1. log4j.rootLogger=INFO, A1 # A1 is set to be a ConsoleAppender. log4j.appender.A1=org.apache.log4j.ConsoleAppender # A1 uses PatternLayout. log4j.appender.A1.layout=org.apache.log4j.PatternLayout log4j.appender.A1.layout.ConversionPattern=%-4r [%t] %-5p %c %x - %m%n # Print messages up to level INFO log4j.logger.net.jawr=INFO
Note that the log level is set to INFO. The DEBUG level would ouput verbose log messages, and you should use it only if you experience problems with your configuration. This file will setup log4j to log only to the system console. Please refer to the log4j documentation for different setup options.
Create a test javascript file at the /js directory, named test.js. Then write JSP page and add the following content:
<%@ taglib uri="http://jawr.net/tags" prefix="jwr" %> <%@ page contentType="text/html;charset=UTF-8" %> <html> <head> <jwr:style src="/bundles/all.css" /> <jwr:script src="/js/test.js"/> </head> <body> ... </body> </html>
Deploy your application to a server and open the JSP you created. The page should contain a link to css004/bundles/all.css, a script tag pointing at lib001/bundles/lib.js and another one pointing at 003/js/test.js. If you visited the page with Firefox, the URl might be prefixed by 'gzip_'. If you open these files from the browser, you will find they have been minified.
Finally, change the jawr.debug.on property in the descriptor file to true and redeploy the application. Visit the page again and you will see how each file is imported separately. If you have used an exploded deployment directory instead of a WAR archived file, you can now change any of the script or css files and see the changes inmediately by refreshing the page.


Welcome to Grommet get started page. Here you will find instructions on how to install Grommet in your local environment.
Setup your NPM proxy (only required if you're behind a proxy server).
{'npm config set proxy http://\{host\}:\{port\}'}
{'npm config set https-proxy https://\{host\}:\{port\}'}
If you find problems on downloading packages through https proxy, try using http protocol in your https-proxy variable, as in:
{'npm config set https-proxy http://\{host\}:\{port\}'}
You can install Grommet using either of the methods below.
Install Gulp globally (make sure to run as an admin).
{'npm install -g gulp'}
Install Grommet globally (make sure to run as an admin).
{'npm install -g grommet'}
Use the Grommet generator to bootstrap your new app
{'grommet init sample-app'}
{'cd sample-app'}
Start a development server with hot reload enabled
{'gulp dev'}
Open http://localhost:9000/webpack-dev-server/
At this point you should be able to see the application dashboard running.
Checkout the Modular Grommet page to understand the application structure better.
Install Bower (at least 1.x required)
{'npm install -g bower'}
Create environment variable with your proxy settings (only required if you're behind a proxy server)
Windows
{'set HTTPS_PROXY=https://\{host\}:\{port\}'}
Linux/OS X
{'export HTTPS_PROXY=https://\{host\}:\{port\}'}
Install Grommet
{'bower install grommet'}
At this point, a bower_components folder will be created which contains Grommet and its dependencies.
Open sample application in the browser
bower_components/grommet/sample-grommet.html
You can now play with Grommet using local Bower.
Checkout the Tutorial page to understand this sample app better.
We recommend that you check out the Architecture page and learn how Grommet works internally.


Education is the most powerful weapon which you can use to change the world. – Nelson Mandela We are thrilled to announce some big plans for The Royal Chundu Foundation School, at Royal Chundu in Zambia, in our hopes to offer and create quality education, close to home, to even more people in the local area around us. We are building a new and bigger school to hold more students, and aim to school around 500 kids a year, from early education to 12th grade, with an adult literacy programme, online hospitality programme and a culinary school, linked to the chefs at Royal Chundu. We hope to provide even more students with tablets loaded with the Zambian curriculum, as we do currently. Our students will also be provided with a healthy breakfast and lunch each day. To raise funds for this project, we are appealing to you, our guests, suppliers, partners, travellers, companies, individuals around the globe, to play a part.
Contact us to make a donation and help start the building process.
Donate your time for something good and we will buy a brick for you for your efforts. Send us a photo of your good deed and let's pay it forward. If everyone does a little bit of good for someone else, the power of that collectively has the potential to change hundreds, thousands, of lives. We believe in doing good and walking the talk, in the power of positivity and the butterfly effect. It’s not conventional, but we want to do something that has an impact greater than us, with infinite butterfly wings spreading good vibrations. Please contact us should you have any questions.


This is the storefont......section that can contain general info about storefront and probably further a tree structure
Payements
some-other-service


Inspired by my fascination of underwater creatures
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Inspired by Charley Harper
Inspired by my love of Marvel
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