Root is the entry module. From this module you can go to all other by saying their respectuive module names.
| Commands | Desired Action |
|---|---|
| Scroll Down | Scrolls down the webpage |
| Scroll Up | Scrolls up the webpage |
| Scroll Right | Scroll the webpage right |
| Scroll Left | Scroll the webpage left |
| Top | Goes to the extreme top of the webpage |
| Bottom | Goes to the extreme bottom of the webpage |
| Zoom In | Increase webpage zoom by 10% |
| Zoom Out | Decrease webpage zoom by 10% |
| Go Forward | Goes forward if exist |
| Go Back | Goes back if exist |
| Reload | Reloads the webpage |
| Previous Tab | Move to previous tab |
| Next Tab | Move to next tab |
| New Tab | Opens a new tab |
| Close Tab | Closes the current tab |
When you are in the root module, say Auto Scroll command to use this module
| Commands | Desired Action |
|---|---|
| Down | Automatically scrolls down the webpage |
| Up | Automatically scrolls up the webpage |
| Right | Automatically scroll the webpage right |
| Left | Automatically scroll the webpage left |
| Stop | Stop scrolling |
| Faster | Increase speed of scrolling |
| Slower | Decrease speed of scrolling |
| Exit | Exit from this module and go to root module |
When you want to scroll a sidebar or a menubar or any scrollable inner webpage content, you can use this module to scroll. When you are in the root module, say Scroll Area command to use this module. All scrollable area will be highlighted and an ID will be assigned, select which scroll area you want to scroll by telling the respective ID
| Commands | Desired Action |
|---|---|
| Down | Scrolls down the selected area |
| Up | scrolls up the selected area |
| Right | Scrolls the selected area right |
| Left | Scrolls the selected area left |
| Auto Down | Automatically scrolls down the selected area |
| Auto Up | Automatically scrolls up the selected area |
| Auto Right | Automatically scroll the selected area right |
| Auto Left | Automatically scroll the selected area left |
| Stop | Stop automatic scrolling |
| Faster | Increase speed of automatic scrolling |
| Slower | Decrease speed of automatic scrolling |
| Exit | Exit from this module and go to root module |
When you want to open a particular URL or website, you can use this module. When you are in the root module, just say Open command to use this module. The module shall request you to say the URL or website name or address.
When you want to search something, you can use this module. When you are in the root module, just say Search command to use this module. The module shall request you to say the search query.
You can use this module when you want to click a link or a button, enter text, select checkbox, control media, slide a range option, select in dropdown, select a color, select a datetime, month, date, time, week. When you are in the root module, just say Click command to use this module. All clickable elements will be highlighted with an ID, select which element you want to click by telling its respective ID
| Scenarios | Description |
|---|---|
| For link or a button | Clicks it |
| For writing based input elements | Makes the cursor to point to that element and gives Dictate Text module for entering text |
| For range input element | Makes the cursor to point to that element and gives Range module for selecting range |
| For color input element | Gives Color Picker module for selecting color |
| For DateTime input element | Gives DateTime Picker module for selecting datetime |
| For Date input element | Gives Date Picker module for selecting date |
| For Month input element | Gives Month Picker module for selecting month |
| For Week input element | Gives Week Picker module for selecting week |
| For Time input element | Gives Time Picker module for selecting time |
| For Dropdown based element | Gives Select module for selecting options |
| For Video or Audio element | Gives Media Control module for controlling video or audio |
When you want to write or enter something, you can use this module. When you are in the click module, and you have selected a text based writable element, then you will get this module.
| Command | Desired Action |
|---|---|
| Keyboard | Opens Keyboard for entering text |
| Remove Word | Removes last word |
| Remove line | Remove current line |
| Clean Up | Delete all the entered text |
| Paste | Paste the copied content |
| Submit | If the element is inside a form element, submits the enclosed form. |
When you want to control a video or audio like play, pause or rewind, you can use this module. When you are in the click module, and you have selected a video or audio element, then you will get this module.
| Command | Desired Action |
|---|---|
| Play | Plays a video or audio |
| Pause | Pauses a video or audio |
| Stop | Continues from the beginning |
| Mute | Mutes Volume |
| Unmute | Unmutes volume |
| Volume Up | Increases volume by 10% |
| Volume Down | Decreases volume by 10% |
| Rewind | Rewinds 10 seconds |
| Forward | Forwards 10 seconds |
When you want to click a dropdown and select anyone option, you can use this module. When you are in the click module, and you have selected a select element or dropdown, then you will get this module.
| Scenario | Description |
|---|---|
| Number | Tell the ID of the option to select it |
| Scroll Up | Scroll the area up if area overflowed |
| Scroll Down | Scroll the area down if area overflowed |
Just try by telling Click and select the above dropdown
When you want to select a color, you can use this module. When you are in the click module, and you have selected a color input element, then you will get this module.
| Command | Desired Action |
|---|---|
| Auto Left / Right | Automatically move slider left or right |
| Stop | Stop automatic slider movement |
| Left | Move left |
| Right | Move right |
| Color | Move to color control |
| Lighter | Move to lighter control |
| Darker | Move to darker control |
| Submit | Submit color selection |
Just try by telling Click and select the above color element
When you want to select a range input, you can use this module. When you are in the click module, and you have selected a range input element, then you will get this module.
Just try by telling Click and select this above element
When you want to select a date and time, you can use this module. When you are in the click module, and you have selected a datetime input element, then you will get this module.
| Command | Desired Action |
|---|---|
| Year/Month/Date/Hour/Minute | To go to respective control, say their name |
| Submit | Submit the selected value |
Just try by telling Click and select this above element
When you want to select a date, you can use this module. When you are in the click module, and you have selected a date input element, then you will get this module.
| Command | Desired Action |
|---|---|
| Year/Month/Date | To go to respective control, say their name |
| Submit | Submit the selected value |
Just try by telling Click and select this above element
When you want to select a month, you can use this module. When you are in the click module, and you have selected a month input element, then you will get this module.
| Command | Desired Action |
|---|---|
| Year/Month | To go to respective control, say their name |
| Submit | Submit the selected value |
Just try by telling Click and select this above element
When you want to select a week, you can use this module. When you are in the click module, and you have selected a week input element, then you will get this module.
| Command | Desired Action |
|---|---|
| Year/Month/Week | To go to respective control, say their name |
| Submit | Submit the selected value |
Just try by telling Click and select this above element
When you want to select a time, you can use this module. When you are in the click module, and you have selected a time input element, then you will get this module.
| Command | Desired Action |
|---|---|
| Hour/Minute | To go to respective control, say their name |
| Submit | Submit the selected value |
Just try by telling Click and select this above element


--- layout: default date: 04/06/2021 ---
Covers races from 8th April, 2021 — 27th May, 2021.
Last updated: {{ page.date | date: "%A, %B %e" }}
{% include standings.html riders=site.data.2021.series_3.criterium teams=site.data.2021.series_3.criteriumteam %} {% include datetime.html %}


The Jonas Brothers Look Dashing at a Gala, and Yep, This Is Where Happiness Begins
by Monica SisavatThe Jonas Brothers have been everywhere ever since they got back together earlier this year, and they're showing no signs of slowing down. On Thursday night, Nick, Joe, and Kevin took a break from their Happiness Begins tour and popped up at the annual American Museum of Natural History Gala in NYC. The trio dressed to impress in color-coordinated black-and-white ensembles, and man, did they look good.
The Jonas Brothers' latest appearance comes just a day after they received their first Grammy nomination since 2009. The band is nominated for best pop duo/group performance for "Sucker," and naturally, they lost their cool over the special honor. "There were some really tough moments that had to happen for us to get to this place but it's right where we are supposed to be. This has truly been our greatest year yet," the brothers wrote on their Instagram. "We truly couldn't be happier . . . as artists, as friends, and as brothers. To think a year ago we hadn't even released music . . . This nomination means the world." Find out if they win when the Grammys go down on Jan. 26.


|
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| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |
FileSystem
.
See:
Description
| Interface Summary | |
|---|---|
| FSConstants | Some handy constants |
| Class Summary | |
|---|---|
| DataNode | DataNode is a class (and program) that stores a set of blocks for a DFS deployment. |
| DatanodeID | DatanodeID is composed of the data node name (hostname:portNumber) and the data storage ID, which it currently represents. |
| DatanodeInfo | DatanodeInfo represents the status of a DataNode. |
| DFSAdmin | This class provides some DFS administrative access. |
| DFSck | This class provides rudimentary checking of DFS volumes for errors and sub-optimal conditions. |
| DFSShell | This class provides some DFS administrative access. |
| DistributedFileSystem | Implementation of the abstract FileSystem for the DFS system. |
| JspHelper | |
| NameNode | NameNode serves as both directory namespace manager and "inode table" for the Hadoop DFS. |
| NamenodeFsck | This class provides rudimentary checking of DFS volumes for errors and sub-optimal conditions. |
| StreamFile |
| Enum Summary | |
|---|---|
| FSConstants.SafeModeAction |
| Exception Summary | |
|---|---|
| AlreadyBeingCreatedException | The exception that happens when you ask to create a file that already is being created, but is not closed yet. |
| LeaseExpiredException | The lease that was being used to create this file has expired. |
| NotReplicatedYetException | The file has not finished being written to enough datanodes yet. |
| SafeModeException | This exception is thrown when the name node is in safe mode. |
A distributed implementation of FileSystem
. This is loosely modelled after
Google's GFS.
The most important difference is that unlike GFS, Hadoop DFS files have strictly one writer at any one time. Bytes are always appended to the end of the writer's stream. There is no notion of "record appends" or "mutations" that are then checked or reordered. Writers simply emit a byte stream. That byte stream is guaranteed to be stored in the order written.
|
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| PREV PACKAGE NEXT PACKAGE | FRAMES NO FRAMES |


Install
Quick Start
Compile
View available commands:
$> fgbl
Run all tests:
$> fgbl test all
View a 3d mesh of a face with a hairstyle (Windows only):
> cd data\base > fgbl view mesh Jane.tri Jane.jpg Hair.tri Hair.tga


--- title: TRB Committees author: published: true date: 2018-05-06 date_added_kb: source: source-url: tags: [association, trb] type: link image: image_source: image_caption: title_color: video_id: sidebar: order-number: subtitle: lead: --- Listing of TRB Committees.


PUNISHMENT PARK (director/writer/editor: Peter Watkins; cinematographer: Joan Churchill; editor: Terry Hodel; Carmen Argenziano (Jay Kaufman, Radical), Stan Armsted (Charles Robbins, Radical), Luke Johnson (Luke Valerio), Jim Bohan (Police Captain), Frederick Franklyn (Defense Attorney), Gladys Golden (Tribunal Juror), Sanford Golden (Tribunal Juror), Katherine Quittner (Nancy Smith), Tom Kemp (Tribunal Marshal), Gary Johnson (Jim Reedman), Peter Watkins (TV Documentary Filmmaker), 1971)
Reviewed by Dennis Schwartz
It is chilling to look back at this 1971 pseudo-documentary and see how divisive things looked at a time when emotions were running high in America between the older and younger generations. The Britisher, noted for making pseudo-documentaries, Peter Watkins (Culloden/The War Game), made this political film at a time of the Vietnam war protests and deep civil unrest in the country, and in the aftermath of the debacle with the 1968 Democratic Convention and of the Kent State murders by the National Guard. It stridently shows in its futuristic prediction what the United States might become like if the reactionary right-wing had their way. It is a polemic exercise between the Left and the Right, with no room for the middle point of view.
The film opens on the note that an Insurrection Act was passed in 1950, which gives the government the right to suspend certain rights in an emergency such as, eliminating the Fifth Amendment, holding suspects without charges indefinetly, revoking bail, having detention camps, and a tribunal. The reason for these laws being enforced now, are that things are getting chaotic because of all the civil unrest. There is a call for "law and order" to take back the streets from the protesters.
War protesters and the civil rights activists are placed on trial and charged with conspiring to overthrow the government. They face long Federal prison terms if convicted, some for life and the short sentences being for seven years, or they can choose to undergo a three-day ordeal in the 100 degree Southern California desert, where they must reach a designated destination marked by the American flag, if they are to go free. The catch is, that they have no chance of reaching that destination since they are permitted to only go in a certain restricted route and they have no food or water, and there are National Guardsman and local police there ready to fire on them at will. The place is appropriately called Punishment Park, as it seems to be devised as a means of killing off the protesters quickly, much like Hitler's gas chambers.
The film intercuts between the ongoing trial of a number of radicals with those in Punishment Park trying to win their freedom. Though the director tries to present some of the establishments' arguments against these young dissenters to show that he is impartial, the weight of what is going down is so heavy, that even when the tribunal members make a plausible response, it still sounds vacuous given the current situation. They mostly say things like the protesters don't care about this country, that the Vietnam war is a "just" war because it is aimed to stop the spread of communism, and that the protesters are trying to make a mockery of the American way of life. While the protesters under arrest are broken down into basically two camps- the pacifists and those willing to use arms against the government. A Black Panther member says, this is a violent and racist country, and it does not deserve the support of the people. That the politician is nothing but a debater. While the pacifists' say that war is only just when it is entered into without any hatred in one's heart. The honorable thing to do at a crisis time like this, is be a criminal -- that at another time it might be to become a politician.
The film had a gritty look to it and should bring back some of the worst confrontational memories of a time the country was divided in a very hostile way. What was missing from the film, was a sense that it could accomplish anything. But, maybe, that wasn't possible, especially looking at this film some thirty years later and realizing how there was no way to justify the war and the racism at the time. To add to that the fictional suspension of individual rights and a horror chamber like Punishment Park, makes this film seem like a futile diatribe that lost its prospective of what its aim was. Yet, if the film's polemics disturbs, but fails to entertain as a film, it still had some bite in it, and its non-professional cast made this an unusual film, one worth watching for all the intensity it displayed despite its inability to alter any one's mind from their current views. It is, simply, preaching to the choir.
REVIEWED ON 5/24/2000 GRADE: B-
Dennis Schwartz: "Ozus' World Movie Reviews"
http://www.sover.net/~ozus
<EMAIL_ADDRESS>© ALL RIGHTS RESERVED DENNIS SCHWARTZ
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


I AM SON TO THE LATE PRESIDENT OF THE CONGO DEMOCRATIC REPUBLIC, FORMERLY ( MOBUTU SESE SEKO) WHO DIED OF A CANCEROUS DISEASE WHILE ON EXILE, AFTER BEING OVERTHROWN FROM GOVERNMENT BY THE REBEL(LATE LAURENT KABILA). SINCE THIS COUP D'ETAT, MY FATHER HAD GONE ON EXILE IN DIFFERENT COUNTRIES AND WE(THE CHILDREN)HAVE SINCE THEN LOST CONTACT OF EACH OTHER. PRESENTLY, I AM SEEKING ASYLUM IN NIGERIA WITH A CLOSE ASSOCIATE OF MY LATE FATHER, WHILE MY LIFE HAS BEEN THREATHENED AS I HAVE RECIEVED THREAT MESSAGES FROM ALLIES OF MY LATE FATHER�S ENEMIES WHO ARE STILL IN TOP GOVERNMENT POSITIONS IN MY COUNTRY (ZAIRE).  THE DOCUMENTS FROM THE SECURITY COMPANIES WHERE THE FUNDS ARE LODGE WERE SHARED AMONG THE MEMBERS OF THE FAMILY s BEFORE THE DEATH OF MY FATHER, HE HAD ADVISED US TO LOOK FOR FORIEGHN PARTNERS THAT WILL HELP US AND INVEST THE MONEY IN ORTHER NOT TO BE TRACED BACK FROM US AND ENDANGER OUR LIVES. I AM ALSO BEING PRESSURED HERE IN NIGERIA BY SOME GOVERNMENT OFFICIALS WHO ARE DEMANDING FOR THIS DOCUMENTS TO ASSIST ME, BUT I DO NOT TRUST THE NIGERIAN PEOPLE.


Next: code-char, Previous: char-code, Up: Characters Dictionary
char-int
character ⇒ integer
character—a character.
integer—a non-negative integer.
Returns a non-negative integer encoding the character object. The manner in which the integer is computed is implementation-dependent. In contrast to sxhash, the result is not guaranteed to be independent of the particular Lisp image.
If character has no implementation-defined attributes, the results of char-int and char-code are the same.
(char= c1 c2) ≡ (= (char-int c1) (char-int c2))
for characters c1 and c2.
(char-int #\A) ⇒ 65 ; implementation A (char-int #\A) ⇒ 577 ; implementation B (char-int #\A) ⇒ 262145 ; implementation C


Tuesday's weather: Cloudy with thundershowers
Tuesday is expected to be cloudy across South Africa, with thundershowers forecast for several provinces, says the SA Weather Service.
Warnings:
Extremely high fire danger conditions are expected over the north-eastern parts of the Northern Cape and western parts of the North West. Heavy rainfall leading to localised flooding is expected over the Overberg and Eden district municipalities in the Western Cape, Kou-Kamma and Kouga local municipalities in the Eastern Cape, as well as Ugu and Ethekwini district municipalities in KwaZulu-Natal.
Watches:
Severe thunderstorms are expected in places over the eastern parts of the Eastern Cape, eastern Free State and North West as well as KwaZulu-Natal.
Snapshot of the weather in your region:
In Gauteng it will be cloudy in the morning, becoming partly cloudy and warm with scattered showers and thundershowers. The expected UVB sunburn index is moderate
Mpumalanga will experience morning fog patches over the escarpment, otherwise cloudy and cool to warm with scattered showers and thundershowers but widespread in the south-east.
Limpopo is expected to see morning fog patches over the escarpment, otherwise cloudy and warm. Scattered showers and thundershowers but isolated in the north-east; while the North West will be cloudy in the east at first, otherwise partly cloudy and warm with scattered showers and thundershowers but isolated in the west where it will be hot.
Free State will be cloudy in the far east and along the Lesotho border at first; otherwise partly cloudy and warm with isolated to scattered showers and thundershowers, except in the far west where it will be hot.
The Northern Cape will be cloudy to partly cloudy and cool with morning fog along the coast and isolated thundershowers in the southern parts in the afternoon, otherwise fine and warm to hot. The wind along the coast will be light north-westerly becoming fresh southerly.
The Western Cape will have fog patches along the West Coast at first, otherwise cloudy and cool to warm with isolated to scattered showers and thundershowers, but widespread along the Overberg coastal areas, spreading to the Eden District in the afternoon. It will clear in the south-west by early afternoon. The wind along the coast will be strong south-easterly but moderate south-westerly in the west. The expected UVB sunburn index is high.
The western parts of the Eastern Cape will be cool along the coast, otherwise cloudy and warm with isolated showers and thundershowers but scattered in the south. The wind along the coast will be moderate to fresh easterly but strong in places in the early morning. The eastern half of the province will be cloudy and warm with isolated showers and thundershowers, but scattered south of the escarpment. The wind along the coast will be fresh to strong north-easterly, reaching near gale force in places in the afternoon.
Kwazulu-Natal is expected to be partly cloudy at times, otherwise cloudy and warm with widespread afternoon showers and thundershowers, but scattered over the extreme north-east. The wind along the coast will be moderate to fresh northerly to north-easterly. The expected UVB sunburn index is low.
Temperatures:
- Compiled by Yunus Kemp
Click here to see the specific forecast for your city over the next few days


Simplicity and user-freindliness define our stylized Tables, with the layout enabling any observer to grasp the basic information at a glance.
VIA senior product manage for UI/UX at REVOX


CONTROL STATEMENTS
Control Structures
A program is usually not limited to a linear sequence of instructions. During its process it may bifurcate, repeat
code or take decisions. For that purpose, C++ provides control structures that serve to specify what has to be done
by our program, when and under which circumstances.
With the introduction of control structures we are going to have to introduce a new concept: the compoundstatement or block. A block is a group of statements which are separated by semicolons (;) like all C++
statements, but grouped together in a block enclosed in braces: { }:
{ statement1; statement2; statement3; }
Conditional structure: if and else
The if keyword is used to execute a statement or block only if a condition is fulfilled. Its form is:
if (condition) statement
Where condition is the expression that is being evaluated. If this condition is true, statement is executed. If it is
false, statement is ignored (not executed) and the program continues right after this conditional structure.
For example, the following code fragment prints x is 100 only if the value stored in the x variable is indeed 100:
if (x == 100) cout << "x is 100";
If we want more than a single statement to be executed in case that the condition is true we can specify a block using braces { }:
if (x == 100) { cout << "x is "; cout << x; }
We can additionally specify what we want to happen if the condition is not fulfilled by using the keyword else. Its form used in conjunction with if is:
if (condition) statement1 else statement2
example:
if (x == 100) cout << "x is 100"; else cout << "x is not 100";
prints on the screen x is 100 if indeed x has a value of 100, but if it has not -and only if not- it prints out x is not 100.
if (x > 0) cout << "x is positive"; else if (x < 0) cout << "x is negative"; else cout << "x is 0";
Remember that in case that we want more than a single statement to be executed, we must group them in a block by enclosing them in braces { }.
Iteration structures (loops)
Loops have as purpose to repeat a statement a certain number of times or while a condition is fulfilled.
The while loop
Its format is:
while (expression) {statements}
and its functionality is simply to repeat statement while the condition set in expression is true. For example, we are going to make a program to countdown using a while-loop
example:
// custom countdown using while #include <iostream> using namespace std; int main () { int n; cout << "Enter the starting number > "; cin >> n; while (n>0) { cout << n << ", "; --n; } cout << "FIRE!\n"; return 0; }
output:
Enter the starting number > 8 8, 7, 6, 5, 4, 3, 2, 1, FIRE!
The do-while loop
Its format is:
do {statement} while(condition);
Its functionality is exactly the same as the while loop, except that condition in the do-while loop is evaluated after the execution of statement instead of before, granting at least one execution of statement even if condition is never fulfilled. For example, the following example program echoes any number you enter until you enter 0.
example:
// number echoer #include <iostream> using namespace std; int main () { unsigned long n; do { cout << "Enter number (0 to end): "; cin >> n; cout << "You entered: " << n << "\n"; } while (n != 0); return 0; }
output:
Enter number (0 to end): 12345 You entered: 12345 Enter number (0 to end): 160277 You entered: 160277 Enter number (0 to end): 0 You entered: 0
The for loop
Its format is:
for (initialization; condition; increase) statement;
and its main function is to repeat statement while condition remains true, like the while loop. But in addition, the for loop provides specific locations to contain an initialization statement and an increase statement. So this loop is specially designed to perform a repetitive action with a counter which is initialized and increased on each iteration.
example:
// countdown using a for loop #include <iostream> using namespace std; int main () { for (int n=10; n>0; n--) { cout << n << ", "; } cout << "FIRE!\n"; return 0; }
output:
10, 9, 8, 7, 6, 5, 4, 3, 2, 1, FIRE!
Jump statements.
The break statement
Using break we can leave a loop even if the condition for its end is not fulfilled. It can be used to end an infinite loop, or to force it to end before its natural end. For example, we are going to stop the count down before its natural end (maybe because of an engine check failure?):
example:
// break loop example #include <iostream> using namespace std; int main () { int n; for (n=10; n>0; n--) { cont << n << ", "; if (n==3) { cout << "countdown aborted!"; break; } } return 0; }
output:
10, 9, 8, 7, 6, 5, 4, 3, countdown aborted!
The continue statement
The continue statement causes the program to skip the rest of the loop in the current iteration as if the end of the statement block had been reached, causing it to jump to the start of the following iteration. For example, we are going to skip the number 5 in our countdown:
example:
// continue loop example #include <iostream> using namespace std; int main () { for (int n=10; n>0; n--) { if (n==5) continue; cout << n << ", "; } cout << "FIRE!\n"; return 0; }
output:
10, 9, 8, 7, 6, 4, 3, 2, 1, FIRE!
The goto statement
goto allows to make an absolute jump to another point in the program. You should use this feature with caution since its execution causes an unconditional jump ignoring any type of nesting limitations. The destination point is identified by a label, which is then used as an argument for the goto statement. A label is made of a valid identifier followed by a colon (:).
example:
// goto loop example #include <iostream> using namespace std; int main () { int n=10; loop: cout << n << ", "; n--; if (n>0) goto loop; cout << "FIRE!\n"; return 0; }
output:
10, 9, 8, 7, 6, 5, 4, 3, 2, 1, FIRE!
the exit function
exit is a function defined in the cstdlib library. The purpose of exit is to terminate the current program with a specific exit code. Its prototype is:
void exit (int exitcode);
The selective structure: switch.
The syntax of the switch statement is a bit peculiar. Its objective is to check several possible constant values for an expression. Something similar to what we did at the beginning of this section with the concatenation of several if and else if instructions. Its form is the following:
switch (expression) { case constant1: group of statements 1; break; case constant2: group of statements 2; break; . . . default: default group of statements }
It works in the following way: switch evaluates expression and checks if it is equivalent to constant1, if it is, it
executes group of statements 1 until it finds the break statement. When it finds this break statement the
program jumps to the end of the switch selective structure.
If expression was not equal to constant1 it will be checked against constant2. If it is equal to this, it will execute
group of statements 2 until a break keyword is found, and then will jump to the end of the switch selective
structure.
Finally, if the value of expression did not match any of the previously specified constants (you can include as
many case labels as values you want to check), the program will execute the statements included after the
default: label, if it exists (since it is optional).
Both of the following code fragments have the same behavior:
switch (x) { case 1: cout << "x is 1"; break; case 2: cout << "x is 2"; break; default: cout << "value of x unknown"; }
if (x == 1) { cout << "x is 1"; } else if (x == 2) { cout << "x is 2"; } else { cout << "value of x unknown"; }


{% extends 'staticpages/navbar.html' %} {% load staticfiles %} {% block content %}
If you have any questions or complaints about the app, please contact us using one of the methods below.


@*
* This template takes the results of all the reports and sends them
* to ScalaJs to display.
*@
@(projectList: List[String], warning:List[String],scapegoatResult:List[List[String]],scoverageResult:List[String],cpdResult:List[String],time:Int)
@import play.api.libs.json._
@*
* Call the the `main` template with three arguments. The first
* argument is a `String` with the title of the page, the second
* argument is an `Html` object containing the body of the page and third is an
* `Int` with the duration to refresh page in seconds.
*@
@content = {
}
@main("Knoldus Dashboard", content = content, time = time) {
}


I plan on setting up a gaming company that will be open for all with the passion and desire to creatively put their time and effort to come up with spectacular games. This according to my opinion will help nurture young growing talent who would like to venture in the Video Game Development market that needs a lift in Kenya and help curb the employment issue a little bit.
I pray and hope my company will be able to grow in future and I'll have branches, headquarters worldwide being able to work cohesively. No matter what happens I'm glad I'll be doing what I love and have a passion at.


Concurrency.empty
Syntax
empty (variableReference) : boolean
Description
The empty function is used in a concurrent program. It returns true if the variableReference, which must be a condition variable, has no processes waiting for it. Processes join the queue of a condition variable by executing the wait statement, and are awakened by the signal statement.
Status
Part of the language and only conceptually part of the Concurrency unit.
This means that you can only call the function by calling empty, not by calling Concurrency.empty.
See also
condition, wait, signal, fork and monitor.


<script src="/js/servicestack-client.js"></script>
Object.assign(window, window['@servicestack/client']) //import var client = new JsonServiceClient() client.get(new Hello({ name: name })) .then(function(r) { console.log(r.result) })
$ npm install @servicestack/client
import { JsonServiceClient } from '@servicestack/client' let client = new JsonServiceClient() let response = await client.get(new Hello({ name }))
Generate Typed DTOs using Add ServiceStack Reference


Police hunt for human traffickers who sold university student to fish wholesalers in Pyapon
by Nay Win Htet
Police are searching the human traffickers who sold a final year student from Dagon University to fish wholesalers and a wholesaler is being questioned, said Police Colonel Myo Thu Soe, deputy chief of Anti-Human Trafficking Police.
He said there might have been at least three human traffickers who sold Myo Thura Tun, a final year student majoring in history to fish wholesalers in Pyapon Township, Ayeyawady Region, for K700,000.
"It's true. They took this boy to a fishing raft after being paid K700,000. We are now searching those brokers for investigation. We will release details later. Currently, we are going to open a case. There might have been about three human traffickers," said the officer.
A fish wholesaler from Pyapon Township is now being interogratted at the police station concerned.
The student was sold into working forcefully at a fish farm when he came to Yangon to do a job as asked by his parents on October 2.
The human traffickers sold him to fish wholesale shops in Pyapon for K700,000. After about 45 days, he was released as his parents paid the money back. He was injured as he was tortured by a supervisor of the fishing raft.


The
utility allows you to communicate with other users, by copying lines from your terminal to theirs.
When you run the
command, the user you are writing to gets a message of the form:
Any further lines you enter will be copied to the specified user's terminal. If the other user wants to reply, they must run
as well.
When you are done, type an end-of-file or interrupt character. The other user will see the message
indicating that the conversation is over.
You can prevent people (other than the super-user) from writing to you with the
command.
If the user you want to write to is logged in on more than one terminal, you can specify which terminal to write to by specifying the terminal name as the second operand to the
command. Alternatively, you can let
select one of the terminals - it will pick the one with the shortest idle time. This is so that if the user is logged in at work and also dialed up from home, the message will go to the right place.
The traditional protocol for writing to someone is that the string
either at the end of a line or on a line by itself, means that it is the other person's turn to talk. The string
means that the person believes the conversation to be over.
A
command appeared in
The sender's
setting is used to determine which characters are safe to write to a terminal, not the receiver's (which
has no way of knowing).
The
utility does not recognize multibyte characters.


Woman literally gives shirt off her back to save burning koala in Australia
by Joe TacopinoA woman in Australia removed her shirt and rushed in the smoldering brush to rescue a koala bear caught near the flames amid the recent spate of fires.
The brave rescuer, who identified herself as Toni, was seen on video disrobing before charging toward the flames and taking the koala into her arms, according to CBS News.
She then poured water on the smoldering animal before taking it to a sanctuary.
The koala is reportedly in good condition.
Bushfires have ravaged around 2.5 million acres of farmland and bush across Australia’s east coast in recent weeks, killing four people and destroying hundreds of homes.
The country’s koala populations have also been a major victim of the flames, with more than 350 of the marsupials feared killed in a major habitat.
With Wires


--- title: "Time series clustering with Dynamic Time Warping" author: '' date: '2018-09-06' header: caption: '' image: '' slug: time-series-clustering-with-dynamic-time-warp tags: [] categories: [] ---
Many solutions for clustering time series are available with R and as usual the web is full of nice tutorials like Thomas Girke’s blog post, Rafael Irizarry and Michael Love’s book, Andrew B. Collier’s blog post, Peter Laurinec’s blog post, Dylan Glotzer’s lecture or Ana Rita Marques’s module.
Dynamic Time Warping (DTW) is one of these solutions. The main advantage of DTW is the possibility to group time series according their patterns or shapes even if these patterns are not synchronized (lag).
As far as I know the two main packages which allow time series clustering with DTW are TSclust
by Pablo Montero Manso and José Antonio Vilar and dtwclust
by Alexis Sarda-Espinosa. These packages are very simple but powerful tools to analyse time series. However when it comes to analyse real data, I found difficult to understand how the clustering is working. To make this process clearer I’m going to simulate two groups of time series and to check if whether or not the DTW clustering can differentiate them.
library(dplyr) # data wrangling
library(ggplot2) # grammar of graphics
library(gridExtra) # merge plots
library(ggdendro) # dendrograms
library(gplots) # heatmap
library(tseries) # bootstrap
library(TSclust) # cluster time series
library(dtwclust) # cluster time series with dynamic time warping
Let’s imagine two people running a marathon, one had a classic run with a pace increasing with the time and the other had a very bad experience (e.g. “hitting the wall”) with a jump in the pace which indicates a significant slow down in the second part of the run. The best is to have real data to analyse but it can be very useful to simulate these pattern in order to assess the clustering efficiency.
A simple way to simulate these time series is to use the sine
function and to add a random noise in order to make it more credible.
# classic run
noise <- runif(420) # random noise
x <- seq(1,420) # 42km with a measure every 100m
pace_min <- 5 # min/km (corresponds to fast run)
ts_sim_classic_run <- (sin(x/10)+x/100+noise+pace_min) %>%
as.ts(.)
ts.plot(ts_sim_classic_run, xlab = "Distance [x100m]", ylab = "Differential pace [min/km]", main = "Example of classic run", ylim=c(0,25))
# wall run
noise <- runif(210) # random noise
x <- seq(1,210) # 21km with a measure every 100m
pace_min <- 5 # min/km (corresponds to fast run)
pace_wall <- 20 # min/km (corresponds to very slow run)
ts_sim_part1 <- sin(x/5)+x/50+noise+pace_min
ts_sim_part2 <- sin(x/5)+noise+pace_wall
ts_sim_wall_run <- c(ts_sim_part1,ts_sim_part2) %>%
as.ts(.)
ts.plot(ts_sim_wall_run, xlab = "Distance [x100m]", ylab = "Differential pace [min/km]", main = "Example of wall run", ylim=c(0,25))
A much nicer way would be to use ARIMA with an auto regressive model (AR).
pace_min <- 5 # min/km (corresponds to fast run)
pace_wall <- 20 # min/km (corresponds to very slow run)
# classic run
ts_sim_classic_run <- abs(arima.sim(n = 420, mean = 0.001, model = list(order = c(1,0,0), ar = 0.9))) + pace_min
ts.plot(ts_sim_classic_run, xlab = "Distance [x100m]", ylab = "Differential pace [min/km]", main = "Example of classic run", ylim=c(0,25))
# wall run
ts_sim_part1 <- abs(arima.sim(n = 210, model = list(order = c(1,0,0), ar = 0.9))) + pace_min
ts_sim_part2 <- ts(arima.sim(n = 210, model = list(order = c(1,0,0), ar = 0.9)) + pace_wall, start = 211,end =420)
ts_sim_wall_run <- ts.union(ts_sim_part1,ts_sim_part2)
ts_sim_wall_run<- pmin(ts_sim_wall_run[,1], ts_sim_wall_run[,2], na.rm = TRUE)
ts.plot(ts_sim_wall_run, xlab = "Distance [x100m]", ylab = "Differential pace [min/km]", main = "Example of wall run", ylim=c(0,25))
Now we have two different runs, let’s bootstrap them (i.e. replicate with small differences) in order to have two groups of 5 individuals for each run type.
ts_sim_boot_classic <- ts_sim_classic_run %>%
tseries::tsbootstrap(., nb=5, b=200, type = "block") %>%
as.data.frame(.) %>%
dplyr::rename_all(funs(c(paste0("classic_",.))))
ts_sim_boot_wall <- ts_sim_wall_run %>%
tseries::tsbootstrap(., nb=5, b=350, type = "block") %>%
as.data.frame(.) %>%
dplyr::rename_all(funs(c(paste0("wall_",.))))
ts_sim_df <- cbind(ts_sim_boot_classic,ts_sim_boot_wall)
Even if I’m a big fan of ggplot2 possibilities, some packages offer efficient ways to compute and plot data. For heatmaps I’m using the gplots
package which displays time series with dendrograms is a single function. An overlook of all the heatmap possibilities can be found here
dtw_dist <- function(x){dist(x, method="DTW")}
ts_sim_df %>%
as.matrix() %>%
gplots::heatmap.2 (
# dendrogram control
distfun = dtw_dist,
hclustfun = hclust,
dendrogram = "column",
Rowv = FALSE,
labRow = FALSE
)
We can already see an accurate clustering between classic and wall runs but we are interested in DTW analysis so let’s implement TSclust
and dtwclust
packages.
Both TSclust
and dtwclust
are following the same steps:
TSclust
# cluster analysis
dist_ts <- TSclust::diss(SERIES = t(ts_sim_df), METHOD = "DTWARP") # note the dataframe must be transposed
hc <- stats::hclust(dist_ts, method="complete") # meathod can be also "average" or diana (for DIvisive ANAlysis Clustering)
# k for cluster which is 2 in our case (classic vs. wall)
hclus <- stats::cutree(hc, k = 2) %>% # hclus <- cluster::pam(dist_ts, k = 2)$clustering has a similar result
as.data.frame(.) %>%
dplyr::rename(.,cluster_group = .) %>%
tibble::rownames_to_column("type_col")
hcdata <- ggdendro::dendro_data(hc)
names_order <- hcdata$labels$label
# Use the folloing to remove labels from dendogram so not doubling up - but good for checking hcdata$labels$label <- ""
p1 <- hcdata %>%
ggdendro::ggdendrogram(., rotate=TRUE, leaf_labels=FALSE)
p2 <- ts_sim_df %>%
dplyr::mutate(index = 1:420) %>%
tidyr::gather(key = type_col,value = value, -index) %>%
dplyr::full_join(., hclus, by = "type_col") %>%
mutate(type_col = factor(type_col, levels = rev(as.character(names_order)))) %>%
ggplot(aes(x = index, y = value, colour = cluster_group)) +
geom_line() +
facet_wrap(~type_col, ncol = 1, strip.position="left") +
guides(color=FALSE) +
theme_bw() +
theme(strip.background = element_blank(), strip.text = element_blank())
gp1<-ggplotGrob(p1)
gp2<-ggplotGrob(p2)
grid.arrange(gp2, gp1, ncol=2, widths=c(4,2))
As expected, The results of TSclust
show two different groups, one with the classic runs and one with wall runs. However we can see that wall runs are not sorted perfectly according their shape. Let’s have a look at dtwclust
to see if the results are similar.
dtwclust
The main asset of dtwclust
is the possibility to customize the DTW clustering. For more details about all the possibilities, I suggest to have a look at the dtwclust
package vignette.
cluster_dtw_h2 <- dtwclust::tsclust(t(ts_sim_df),
type = "h",
k = 2,
distance = "dtw",
control = hierarchical_control(method = "complete"),
preproc = NULL,
args = tsclust_args(dist = list(window.size = 5L)))
hclus <- stats::cutree(cluster_dtw_h2, k = 2) %>% # hclus <- cluster::pam(dist_ts, k = 2)$clustering has a similar result
as.data.frame(.) %>%
dplyr::rename(.,cluster_group = .) %>%
tibble::rownames_to_column("type_col")
hcdata <- ggdendro::dendro_data(cluster_dtw_h2)
names_order <- hcdata$labels$label
# Use the folloing to remove labels from dendogram so not doubling up - but good for checking hcdata$labels$label <- ""
p1 <- hcdata %>%
ggdendro::ggdendrogram(., rotate=TRUE, leaf_labels=FALSE)
p2 <- ts_sim_df %>%
dplyr::mutate(index = 1:420) %>%
tidyr::gather(key = type_col,value = value, -index) %>%
dplyr::full_join(., hclus, by = "type_col") %>%
mutate(type_col = factor(type_col, levels = rev(as.character(names_order)))) %>%
ggplot(aes(x = index, y = value, colour = cluster_group)) +
geom_line() +
facet_wrap(~type_col, ncol = 1, strip.position="left") +
guides(color=FALSE) +
theme_bw() +
theme(strip.background = element_blank(), strip.text = element_blank())
gp1<-ggplotGrob(p1)
gp2<-ggplotGrob(p2)
grid.arrange(gp2, gp1, ncol=2, widths=c(4,2))
Now with the cluster are well distributed between classic and wall runs but also inside the clusters where similar shapes appears to be grouped together.
It is possible to modify some argument in order to perform this hierarchical DTW clustering based on z-scores with centroid based on the built-in “shape_extraction” function.
cluster_dtw_h2 <- dtwclust::tsclust(t(ts_sim_df), type = "h", k = 2L,
preproc = zscore,
distance = "dtw", centroid = shape_extraction,
control = hierarchical_control(method = "complete"))
hclus <- stats::cutree(cluster_dtw_h2, k = 2) %>% # hclus <- cluster::pam(dist_ts, k = 2)$clustering has a similar result
as.data.frame(.) %>%
dplyr::rename(.,cluster_group = .) %>%
tibble::rownames_to_column("type_col")
hcdata <- ggdendro::dendro_data(cluster_dtw_h2)
names_order <- hcdata$labels$label
# Use the folloing to remove labels from dendogram so not doubling up - but good for checking hcdata$labels$label <- ""
p1 <- hcdata %>%
ggdendro::ggdendrogram(., rotate=TRUE, leaf_labels=FALSE)
p2 <- ts_sim_df %>%
dplyr::mutate(index = 1:420) %>%
tidyr::gather(key = type_col,value = value, -index) %>%
dplyr::full_join(., hclus, by = "type_col") %>%
mutate(type_col = factor(type_col, levels = rev(as.character(names_order)))) %>%
ggplot(aes(x = index, y = value, colour = cluster_group)) +
geom_line() +
facet_wrap(~type_col, ncol = 1, strip.position="left") +
guides(color=FALSE) +
theme_bw() +
theme(strip.background = element_blank(), strip.text = element_blank())
gp1<-ggplotGrob(p1)
gp2<-ggplotGrob(p2)
grid.arrange(gp2, gp1, ncol=2, widths=c(4,2))
Based on dtwclust
package vignette, it is possible to register a new DTW function adapted to normalized and asymmetric DTW.
# Normalized DTW
ndtw <- function(x, y, ...) {
dtw(x, y, ...,
step.pattern = asymmetric,
distance.only = TRUE)$normalizedDistance
}
# Register the distance with proxy
proxy::pr_DB$set_entry(FUN = ndtw, names = c("nDTW"),
loop = TRUE, type = "metric", distance = TRUE,
description = "Normalized, asymmetric DTW")
# Partitional clustering
cluster_dtw_h2 <- dtwclust::tsclust(t(ts_sim_df), k = 2L,distance = "nDTW")
plot(cluster_dtw_h2)
Even if it looks great with sine
simulated data, it is not very accurate with ARIMA models. Moreover I haven’t been able to extract the dendrogram from this last “cluster_dtw_h2” object because of the partitional clustering process but one can be interested in the distance matrix provided in “cluster_dtw_h2” object.
After this short analysis with Dynamic Time Warping, the next steps will be to increase the difference between the time series to check the clustering accuracy and obviously to test it with real data.


|
G7SDH9
|
Putative uncharacterized protein |
0.555777 |
|
A4W1G9
|
Phosphotransferase system cellobiose-specific component IIC |
0.521547 |
|
G7SA24
|
Cold-shock DNA-binding domain protein |
0.394546 |
|
F4EDP5
|
Putative uncharacterized protein |
0.568016 |
|
R4NL31
|
MF3-like protein |
0.63094 |
|
E9NQ29
|
CPS16V |
0.452748 |
|
G5KZ73
|
NADH:flavin oxidoreductase/NADH oxidase family protein |
0.459622 |
|
G7S4C2
|
Major membrane immunogen, membrane-anchored lipoprotein |
0.643938 |
|
A8CUL3
|
Integrase |
0.46773 |
|
G7SM99
|
Type I site-specific restriction-modification system, R (Restriction) subunit and related helicase |
0.506277 |
|
G7SLJ0
|
Putative competence-damage inducible protein |
0.564703 |
|
A4W1W3
|
F0F1-type ATP synthase, subunit a |
0.586873 |
|
G7RZW0
|
Sugar ABC transporter permease |
1.508325 |
|
G7S2T8
|
Alcohol dehydrogenase |
0.610195 |
|
G7SDG9
|
Laminin binding protein |
1.524593 |
|
R4NLJ6
|
Oligopeptide ABC transporter, periplasmic oligopeptide-binding protein OppA |
0.644177 |
|
G7S371
|
Fructose-bisphosphate aldolase |
0.623705 |
|
M1UGE2
|
Uncharacterized protein |
0.647168 |
|
A4VZM2
|
Cell cycle protein GpsB |
0.631018 |
|
A4W2D2
|
Cation transport ATPase |
1.676356 |
|
G5L1V6
|
50S ribosomal protein L9 |
0.6638821 |
|
G7SEP2
|
Putative uncharacterized protein |
1.502566 |
|
A4VVZ3
|
tRNA dimethylallyltransferase |
1.510883 |
|
G7S5B8
|
3-isopropylmalate dehydrogenase |
1.513117 |
|
G7SA68
|
UDP-N-acetylmuramate–alanine ligase |
0.656503 |
|
G5L098
|
Transcriptional regulator Spx |
1.514636 |
|
E8UKC3
|
Uncharacterized protein |
1.507837 |
|
G7SFU4
|
Putative uncharacterized protein |
1.543591 |
|
A4VV99
|
DNA repair protein |
1.545594 |
|
A4W2Z7
|
FMN-dependent NADH-azoreductase |
1.527496 |
|
F4EC05
|
Putative uncharacterized protein |
1.57743 |
|
C6GNL8
|
30S ribosomal protein S21 |
1.545471 |
|
K7ZNG8
|
DNA recombination/repair protein (Fragment) |
1.558023 |
|
G7S3K5
|
ABC-type cobalt transport system, ATPase component |
1.583854 |
|
G7SM56
|
Ribosomal RNA small subunit methyltransferase H |
1.594936 |
|
A2VC24
|
Muramidase-released protein |
1.579304 |
|
A4W3C1
|
Putative phosphotyrosine protein phosphatase |
1.60975 |
|
G7S4U0
|
Putative uncharacterized protein |
1.596783 |
|
G7SP92
|
Putative uncharacterized protein |
1.658448 |
|
G7S7E3
|
Helicase |
1.516925 |
|
M1VK55
|
Glycosyltransferase |
1.662795 |
|
G7S3P9
|
Putative uncharacterized protein |
1.673475 |
|
A4W106
|
Signal transduction histidine kinase |
1.62492 |
|
B0M0G7
|
Phosphomethylpyrimidine kinase (Fragment) |
1.633436 |
|
A5JSJ7
|
Putative uncharacterized protein |
1.681661 |
|
G5L226
|
Type III restriction-modification system, restriction endonuclease subunit |
1.697991 |
|
G7S7K4
|
Putative uncharacterized protein |
1.645719 |
|
B9WY95
|
Peptidase M20 |
1.647536 |
|
G7S4T2
|
Branched-chain alpha-keto acid dehydrogenase subunit E2 |
1.673032 |
|
G5KX48
|
ABC-type uncharacterized transport system, permease component |
1.705109 |
|
G7S178
|
Putative uncharacterized protein |
1.774886 |
|
M1VDL7
|
ABC transporter permease protein |
1.942183 |
|
G7S6Z3
|
Putative uncharacterized protein |
1.956584 |
|
J7KIA5
|
Abortive infection bacteriophage resistance related protein |
1.999106 |
|
G7SJZ7
|
Primosomal protein N' |
1.720079 |
|
G7SHW7
|
Putative uncharacterized protein |
2.001559 |
|
Q9EZW2
|
Elongation factor Tu (Fragment) |
1.739971 |
|
A4VVJ5
|
Uncharacterized protein |
2.141695 |
|
M1VJZ8
|
Zeta toxin |
1.74309 |
|
G5L2V0
|
NADPH:quinone reductase and related Zn-dependent oxidoreductase |
1.79706 |
|
R4NU43
|
Aromatic amino acid aminotransferase gamma @ N-acetyl-L,L-diaminopimelate aminotransferase |
2.144605 |
|
A4W296
|
Uncharacterized protein |
1.837367 |
|
G7SKQ0
|
CHAP domain containing protein |
2.179882 |
|
B9WVD6
|
Putative uncharacterized protein (Fragment) |
2.226792 |
|
G5L2N5
|
L-fucose isomerase |
1.859887 |
|
B9WTA1
|
Putative uncharacterized protein |
2.290848 |
|
B9WXU6
|
ABC transporter related protein |
1.873566 |
|
G8DU82
|
Transposase |
2.376768 |
|
G7S242
|
Putative ABC transporter |
1.883471 |
|
A4VZ91
|
50S ribosomal protein L32 |
1.915877 |
|
G7SDX6
|
50S ribosomal protein L7/L12 |
1.918196 |
|
G5KZ86
|
Phosphatidylserine/phosphatidylglycerophosphate/ cardiolipin synthase-like protein |
1.965488 |
|
G7SIQ5
|
Putative uncharacterized protein |
2.451703 |
|
G7S7J2
|
Putative uncharacterized protein |
2.481527 |
|
G7SPA1
|
Putative scaffolding protein |
2.584249 |
|
G7S7A9
|
FAD-dependent pyridine nucleotide-disulfide oxidoreductase |
1.970356 |
|
G7S8Q2
|
Peptidase M22 glycoprotease |
1.978772 |
|
M1TIM7
|
Methylated DNA-protein cysteine methyltransferase |
2.161583 |
|
G7SBK2
|
Elongation factor Ts |
2.266517 |
|
M1VE47
|
Fic/DOC family protein |
2.606274 |
|
M1UFP9
|
Thiamine-phosphate synthase |
2.298028 |
|
G7S535
|
Fructose-6-phosphate aldolase |
2.553516 |
|
G5L351
|
NsuB |
2.694988 |
|
B9WUV5
|
Transcriptional regulator, DeoR family |
2.65073 |
|
R4NW55
|
Plasmid replication protein Rep and AAA-class ATPase domain protein |
2.779765 |
|
G7RZ18
|
Sortase-like protein |
2.791504 |
|
S6B433
|
RecN protein (Fragment) |
3.007243 |
|
G5KZR3
|
Glutathione S-transferase |
3.262393 |
|
R4NLK5
|
SSU ribosomal protein S1p |
3.46851 |
|
R4NWB6
|
Uncharacterized protein |
8.306942 |
|
G5L259
|
NADP-dependent glyceraldehyde-3-phosphate dehydrogenase, putative |
2.781098 |
|
D5AFN4
|
Xaa-Pro dipeptidyl-peptidase |
3.095053 |
|
G7SMG3
|
Elongation factor G |
3.667679 |
|
G7SD52
|
ABC superfamily ATP binding cassette transporter, membrane protein |
3.201581 |
|
G5L1N9
|
Nucleoid DNA-binding protein |
3.796473 |
|
G7S8P5
|
Phosphoglycerate kinase |
11.34908 |


| 1 | package fr.sii.ogham.testing.extension.junit.sms; | |
| 2 | ||
| 3 | import static java.util.stream.Collectors.toList; | |
| 4 | ||
| 5 | import java.util.Collections; | |
| 6 | import java.util.List; | |
| 7 | ||
| 8 | import org.junit.jupiter.api.extension.Extension; | |
| 9 | ||
| 10 | import fr.sii.ogham.testing.extension.junit.sms.config.ServerConfig; | |
| 11 | import fr.sii.ogham.testing.sms.simulator.SmppServerSimulator; | |
| 12 | import fr.sii.ogham.testing.sms.simulator.bean.SubmitSm; | |
| 13 | import fr.sii.ogham.testing.sms.simulator.config.SimulatorConfiguration; | |
| 14 | ||
| 15 | /** | |
| 16 | * Base class for JUnit Rule and JUnit {@link Extension}. | |
| 17 | * | |
| 18 | * @author Aurélien Baudet | |
| 19 | * | |
| 20 | * @param <M> | |
| 21 | * The type of the received messages | |
| 22 | */ | |
| 23 | public abstract class AbstractJUnitSmppServerExt<M> { | |
| 24 | ||
| 25 | /** | |
| 26 | * The configuration to control how server should behave | |
| 27 | */ | |
| 28 | protected final ServerConfig builder; | |
| 29 | /** | |
| 30 | * The server simulator | |
| 31 | */ | |
| 32 | protected SmppServerSimulator<M> server; | |
| 33 | ||
| 34 | /** | |
| 35 | * Initializes with the default configuration to use for the SMPP server | |
| 36 | * | |
| 37 | */ | |
| 38 | public AbstractJUnitSmppServerExt() { | |
| 39 | this(new ServerConfig()); | |
| 40 | } | |
| 41 | ||
| 42 | /** | |
| 43 | * Initializes with the configuration to use for the SMPP server | |
| 44 | * | |
| 45 | * @param builder | |
| 46 | * the configuration for the server | |
| 47 | */ | |
| 48 | public AbstractJUnitSmppServerExt(ServerConfig builder) { | |
| 49 | super(); | |
| 50 | this.builder = builder; | |
| 51 | } | |
| 52 | ||
| 53 | /** | |
| 54 | * Get the port used by the server. | |
| 55 | * | |
| 56 | * @return the port used by the server | |
| 57 | */ | |
| 58 | public int getPort() { | |
| 59 |
1
1. getPort : replaced int return with 0 for fr/sii/ogham/testing/extension/junit/sms/AbstractJUnitSmppServerExt::getPort → RUN_ERROR |
return server.getPort(); |
| 60 | } | |
| 61 | ||
| 62 | /** | |
| 63 | * Provide the list of received messages during the execution of the test. | |
| 64 | * | |
| 65 | * @return the list of received messages | |
| 66 | */ | |
| 67 | public List<M> getRawMessages() { | |
| 68 |
1
1. getRawMessages : negated conditional → NO_COVERAGE |
if (server == null) { |
| 69 | return Collections.emptyList(); | |
| 70 | } | |
| 71 |
1
1. getRawMessages : replaced return value with Collections.emptyList for fr/sii/ogham/testing/extension/junit/sms/AbstractJUnitSmppServerExt::getRawMessages → NO_COVERAGE |
return server.getReceivedMessages(); |
| 72 | } | |
| 73 | ||
| 74 | /** | |
| 75 | * Provide the list of received messages during the execution of the test. | |
| 76 | * | |
| 77 | * The raw messages are converted to the common interface | |
| 78 | * ({@link SubmitSm}). | |
| 79 | * | |
| 80 | * @return the list of received messages | |
| 81 | */ | |
| 82 | public List<SubmitSm> getReceivedMessages() { | |
| 83 |
1
1. getReceivedMessages : replaced return value with Collections.emptyList for fr/sii/ogham/testing/extension/junit/sms/AbstractJUnitSmppServerExt::getReceivedMessages → NO_COVERAGE |
return getRawMessages().stream().map(this::convert).collect(toList()); |
| 84 | } | |
| 85 | ||
| 86 | /** | |
| 87 | * Initialize the server with the ready to use configuration. | |
| 88 | * | |
| 89 | * @param simulatorConfiguration | |
| 90 | * the configuration to apply to the server | |
| 91 | * @return the server instance | |
| 92 | */ | |
| 93 | protected abstract SmppServerSimulator<M> initServer(SimulatorConfiguration simulatorConfiguration); | |
| 94 | ||
| 95 | protected abstract SubmitSm convert(M raw); | |
| 96 | ||
| 97 | } | |
Mutations | ||
| 59 |
1.1 |
|
| 68 |
1.1 |
|
| 71 |
1.1 |
|
| 83 |
1.1 |


I'm A Celebrity's Kate Garraway on 'forcing herself to have sex with husband every day'
For the good of the marriage
by Nancy BrownShe recently revealed her secret name for her vagina, and now it's been revealed that saucy Kate Garraway once kept a sex spreadsheet to keep track of her steamy sessions with husband Derek Draper.

The couple tied the knot in 2005 and have kids William and Darcey together.
Kate wrote: "When you’ve been in a relationship for a long time the physical side of things can feel very unspontaneous.
Read more: Rebekah Vardy celebrates at her surprise baby shower
She added: "So the idea is to schedule sex and force yourself to do it once a day and make it the focus of your diary."
Revealing that they got "very organised", Good Morning Britain star Kate revealed she actually created a spreadsheet to keep track of their sex sessions.
She said: "So we got very organised with a spreadsheet and we created this space for intimacy."
However, Kate revealed that things didn't go entirely to plan, with her husband breaking a bone – but not through their bedroom shenanigans.
Read more: William and Harry pay tribute to the Queen and Prince Philip on their 72nd wedding anniversary
"Poor guy, he broke his ankle – not from a sexual escapade – so he was in a cast and in terrible pain. But we kept that time in the diary just to talk and be together," she said.
Kate also revealed how their sex life has changed as they've got older.
She wrote: "When you're younger you want to be impressive, but when you get older, I think there's a different kind of intimacy."
It looks as if she might have some catching up to do when Kate – whose bunches hairstyle has left viewers "cringing" – gets out of the jungle!
Head to our Facebook page @EntertainmentDailyFix and let us know what you think of our story.


Django Africa is a forum where Django Question is asked and top Tutorials are Given.
We help new Developers Get Better at Django Development.
The Moment you have other developers to interact with, you will up your game.
Share Your Knowledge and make a reputation for your skill in our community.


Multi Tasking Test
You can contnue with default configuration or you can customize as per your need.
Set time:
10 min
5 min
2 min
1 min
Num rounds:
One minute break inbetween rounds
1
2
Set difficulty:
Easy
Military
Madness!
Start


Matinee (1993) 99m.
Joe Dante's most personal film is also one of his best. After a hilarious opening sequence featuring a direct copy of the cinema promos made by director-producer William Castle in the late 50s/early 60s, Dante settles into areas of childhood nostalgia that's only been hinted at in his previous work. He's a good choice of director for this project: it's plain to see that he has always loved movies (his films have more movie in-jokes than any other director I can think of) and he was lucky enough to see Castle films with the gimmicks 'Emergo' (HOUSE ON HAUNTED HILL), 'Percepto' (THE TINGLER) and 'Illusion-O' (13 GHOSTS) when he was an impressionable young movie buff.
MATINEE is set in Florida during the 1962 Cuban missile crisis and begins when teenager Gene (Simon Fenton) witnesses two sober warnings about atomic weapons. The first is from movie producer Lawrence Woolsey (John Goodman) in a Saturday matinee trailer, the second is from John F. Kennedy on live television. One is obviously far-fetched, the other deadly serious, but what's a boy to think? Appropriately, Gene's younger brother believes in both. The reality/unreality of these two scenarios reaches a middle ground during Gene's third warning, when he is told that his school's nuclear attack drill (ever seen those old 'Duck and Cover' educational films?) is a sham. It's just the right climate for Woolsey's new monster movie, and he duly arrives in town with his entourage in tow, for who can separate the current real-life nuclear horrors from his skilfully orchestrated ones? Woolsey's horror show boasts a barrage of audience-participation effects, and by the end not even the adults (including theater owner Robert Picardo) can differentiate between the gimmicks and the apocalypse.
Dante's agenda with this film is clear: he wants to show what going to the movies *really* used to be like before the shopping malls and the cineplexes took over. Fittingly, MATINEE's second half is set in and around the cinema, cross-cutting between the monster movie (itself a very funny spoof of 50s nuclear-mutant horror flicks) and the action behind the scenes. Charles Haas' clever script ties up this package so neatly that you'll reach the final credits feeling completely satisfied - it even manages to include what surely must have been every teenage boy's fantasy during the Cold War, i.e. the prospect of being trapped for months in a fallout shelter with a would-be girlfriend. Unfortunately, the script falters during a hackneyed 'child-in-peril' climax, which is dispensed with so briefly that there's almost no justification for its inclusion. It's a bad move for two reasons: firstly, it is the sort of thing you'd expect to find in a kid's movie, which MATINEE is not; secondly, it introduces a false note of real danger - the underlying theme of MATINEE is to watch how our minds surrender voluntarily or instinctively to larger-than-life fears. Contrast this scene to the film's understated final shot, which hints at the war in Vietnam and conveys realistic menace a lot more effectively. What's great about MATINEE is how it introduces fantastic elements to an ordinary setting and weaves them so invisibly into the story, so it's ironic that the only 'real' dangerous moment in the film is also its only unrealistic one.
The era celebrated in this film happened before my time, but I still have enough memories of my own journeys to the local cinema (whether it was to see old prints of Tarzan or Ray Harryhausen films) to recognize that for a while there was a golden age of movie-going for young audiences. The Saturday matinees were full of kids who were only half-interested in the show; foodstuffs were routinely thrown; and cheers sometimes punctuated the action on screen. If only I'd seen a skeleton sliding on a wire or been given electric shocks in my seat - my childhood would have been made complete. For now, like many other viewers, I'll have to make do with Dante's own affectionate, good-humored memoir.
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The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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{{ partial "conference-enquiry/landing/top.html" . }} {{ partial "conference-enquiry/landing/content.html" . }} {{ partial "foot" . }}


← Back to all examples.
Pass 'start' as the second argument to initialize the board to the start position.
'start'


Company motivation statement
I have read many company values but the ones from Google, facebook and Atlassian looked most logical.
Thinking of how people write, I tried to jump in and here is a fleshy document stating a nice company’s motivation.
Focus on user
We build everything from the ground up with you in mind. Whether it’s something new or an enhancement, it is forced to serve you.
Believing this give us enough confidence that, everything else will follow us.
- make products insanely quick, before light emits from it’s source
- show products simple, clean and smart
- democratize and respect it
- don’t #@!% the user
Innovate with focus
- hack - a lot, break your head (not mirrors), repeat
- do one thing really, really good
- follow 80-20 rule - impactful?, do it. Otherwise, throw it
- always ask this - is there a need?
- balance
Be bold and honest
Doing big things requires lot of courage. Be bold, just do it.
- no politics
- no fearful decisions
- take responsibilities and collaborate
- take risks, inpire and have fun
- fail and fail faster
- don’t evil for money
Be open, honest, confident and integrated. That’s how we want to be known. It allows us to make better decisions. As clear as a brand new mirror.
Written on February 6, 2016


Shane flew to San Francisco with Mom and Dad to attend the Computers, Freedom, and Privacy 2002 Conference. He slept through some of the sessions, but got very noisy during some of the other sessions. He met lots of Mom's friends. On the way home mom got upgraded, so Shane got to fly home first class.
Shane flew to St. Louis with Mom and Dad for a little vacation. Shane got to go to all of Mom and Dad's favorite places from their student days. He went to Forest Park, the St. Louis Zoo, and lots of great St. Louis restaurants. Shane also met lots of Mom and Dad's friends. Then Mom, Dad, and Shane drove to Kentucky to visit Dad's grandparents.
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This page maintained by Shane's Mom


Rate with
science
Rate things on arbitrary scales with scientific accuracy
Make me a scale from
to
Uh oh!
We couldn't make a scale with your input. Try some other endpoints!
Made with
♥
by
Tristan
and
Dave
.


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Individual Profiles
Estimate the offensive and defensive contributions of a player.
{{ headContent() }} {{ bootstrapLib() }}
We often try to compare players based on single metrics - statistics such as wins/goals above replacement, game score, points per game, and expected goals (amongst many others). However, these statistics are typically heavily correlated which suggests that they are possibly the result of common, unobservable factors. This idea serves as the basis for this entire web application!


A 3D game engine with multiple graphics backends, written in Rust. This is being developed in conjunction with a horror game that lives in the same repo.
View ProjectA small cross-platform 3D game engine, using OpenGL for rendering. This project was my introduction to a variety of modern rendering concepts.
View ProjectA small but cool interpreted programming language. This project includes a full lexer, parser for building an abstract syntax tree, and an evaluator. No lexer or parser generators were used for this project, and the entirety of the project was written in the Rust programming language.
View ProjectA gltf scene renderer using OpenGL and written in Rust. The knowledge gained from this project was used to write an OpenGL backend for Dragonglass.
View ProjectA Rust port of the OpenGL superbible, eighth edition. This includes an implementation of a KTX parser and a parser for the superbible-specific 3D model format.
View ProjectA brute force ray tracer implementation following the "Raytracer in a Weekend" book. The project also includes a partial implementation of features from the second book in the series.
View ProjectAn Ogre3D 1.9 and C++ project template that uses CMake to setup an Ogre development environment quickly and easily. I created this so that students in my game engine architecture class could easily get started, as setting up a development environment was tricky.
View ProjectMinor in Mathematics


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Hello, my name is Matt
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welcome to my personal portfolio
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My All Pending
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| Apache Struts 2 Documentation > Home > Guides > Core Developers Guide > Interceptors > File Upload Interceptor |
Interceptor that is based off of MultiPartRequestWrapper, which is automatically applied for any request that includes a file. It adds the following parameters, where [File Name] is the name given to the file uploaded by the HTML form:
You can get access to these files by merely providing setters in your action that correspond to any of the three
patterns above, such as setDocument(File document), setDocumentContentType(String contentType), etc.
See the example code section.
This interceptor will add several field errors, assuming that the action implements ValidationAware. These error messages are based on several i18n values stored in struts-messages.properties, a default i18n file processed for all i18n requests. You can override the text of these messages by providing text for the following keys:
You can extend this interceptor and override the #acceptFile method to provide more control over which files are supported and which are not.
<action name="doUpload" class="com.examples.UploadAction"> <interceptor-ref name="fileUpload"/> <interceptor-ref name="basicStack"/> <result name="success">good_result.ftl</result> </action>
 And then you need to set encoding multipart/form-data in the form where the user selects the file to upload.

 And then in your action code you'll have access to the File object if you provide setters according to the naming convention documented in the start.
 public com.examples.UploadAction implemements Action { private File file; private String contentType; private String filename; public void setUpload(File file) { this.file = file; } public void setUploadContentType(String contentType) { this.contentType = contentType; } public void setUploadFileName(String filename) { this.filename = filename; } ... }

Setting parameters example:
<interceptor-ref name="fileUpload"> <param name="allowedTypes"> image/png,image/gif,image/jpeg </param> </interceptor-ref>


Crash on busy Ayrshire road leads to motorcyclist being rushed to hospital
Police have revealed that the biker was taken to Crosshouse Hospital, but his injuries were not life threatening.
by Lochlin Highet, https://www.dailyrecord.co.uk/authors/lochlin-highet/Police have confirmed that a motorcyclist was taken to hospital following a crash at the weekend.
Near the A71 and A78 at the Warrix Interchange was heavily tailed back heading to Kilmarnock from Irvine after an accident.
Police have revealed that the biker was taken to Crosshouse Hospital, but his injuries were not life threatening.
A police spokesman said: "Police received report of a two-vehicle collision, involving a car and a motorbike, on the A78 at the A71 slip road near Irvine, around 4.10pm on Saturday, November 23, 2019.
"The motorcyclist has been taken to University Hospital Crosshouse with non-life threatening injuries."


|
NetBeans UML Modeling |
org::galagosearch::core::parse::Tag
public class Tag
This class represents a tag in a XML/HTML document. A tag has a tagName, an optional set of attributes, a beginning position and an end position. The positions are in terms of tokens, so if begin = 5, that means the open tag is between token 5 and token 6. @author trevor
| Properties | |
|---|---|
| Alias | Tag |
| Visibility | public |
| Final | |
| Transient | |
| Abstract | |
| Leaf |
| Attribute Summary | |
|---|---|
String |
name
  |
int |
begin
  |
int |
end
  |
| Constructor Summary | |
|---|---|
Tag(String name, Map<String, String> attributes, int begin, int end) Constructs a tag. |
| Operation Summary | |
|---|---|
String |
truncateName(String tagName) Truncates the tag name to be less than 256 bytes long in UTF-8 encoding. |
int |
compareTo(Tag other) Compares two tags together. |
String |
toString()   |
| Attribute Detail |
|---|
public String name
public int begin
public int end
| Constructor Detail |
|---|
public Tag(String name, Map<String, String> attributes, int begin, int end)
| Operation Detail |
|---|
protected String truncateName(String tagName)
public int compareTo(Tag other)
public String toString()
|
NetBeans UML Modeling |


| Recorded Crime Offences (Number) by Garda Station, Type of Offence and Year |
|||||||
|---|---|---|---|---|---|---|---|
| 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | ||
| Dundrum, D.M.R. Eastern Division | 03 ,Attempts/threats to murder, assaults, harassments and related offences | 113 | 100 | 104 | 82 | 134 | 150 |
| 06 ,Robbery, extortion and hijacking offences | 37 | 38 | 33 | 33 | 27 | 24 | |
| 07 ,Burglary and related offences | 440 | 583 | 379 | 585 | 778 | 573 | |
| 08 ,Theft and related offences | 1310 | 1427 | 1394 | 1390 | 1500 | 1505 | |
| See Background Notes |


This section of the application shows interest via a user's tagged content and the user's network of friends tagged content. This could be expanded to show users with common interests via tags.
Matches to friends who live near {{address}}
{{city}},{{state}} {{zip}}
| Product | # Friends who purchased |
|---|---|
{{title}}
Friends
Tags: {{wordPhrase}} {{/wordPhrase}} |
{{cfriends}} |


The main function, ProtectTable(), performs table suppression according to a frequency rule with a data set as the only required input. Within this function, protectTable(), protectLinkedTables() or runArgusBatchFile() in package 'sdcTable' is called. Lists of level-hierarchy (parameter 'dimList') and other required input to these functions are created automatically. The function, PTgui(), starts a graphical user interface based on the shiny package.
| Version: | 0.3.1 |
| Depends: | R (≥ 3.0.0), sdcTable, SSBtools, shiny |
| Suggests: | knitr, rmarkdown |
| Published: | 2018-01-15 |
| Author: | Øyvind Langsrud |
| Maintainer: | Øyvind Langsrud <oyl at ssb.no> |
| License: | Apache License 2.0 | file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| In views: | OfficialStatistics |
| CRAN checks: | easySdcTable results |
| Reference manual: | easySdcTable.pdf |
| Vignettes: |
easySdcTable Vignette |
| Package source: | easySdcTable_0.3.1.tar.gz |
| Windows binaries: | r-devel: easySdcTable_0.3.1.zip, r-release: easySdcTable_0.3.1.zip, r-oldrel: easySdcTable_0.3.1.zip |
| OS X binaries: | r-release: easySdcTable_0.3.1.tgz, r-oldrel: easySdcTable_0.3.1.tgz |
| Old sources: | easySdcTable archive |
Please use the canonical form https://CRAN.R-project.org/package=easySdcTable to link to this page.


We analyzed this package %%x-ago%% , and awarded it 0 pub points (of a possible 0):
Analysed with Pana 0.6.2 , Dart 2.0.0-dev.7.0 .
0.6.2
2.0.0-dev.7.0


Overview¶
rivus is a cool open-source project, which is all about energy grid optimization with very high spatial resolution. (For that however with low time resolution.)
This repository is an extension for that project, to facilitate database integration.
Who uses rivus?¶
The project is still in an early phase, but as it was created and is maintained at the fabulous university of TUM there will be (hopefully) always somebody actively working with it.
Goals¶
I found that on the long run, and especially if one works with a lot of optimization parameters, a database (structured, queryable and accessible in a general, standard format as DBAPI) enables me to do much more with the data. As I strongly believe, that this method could be useful in many other projects as well, I published and documented my work-flow.
It is nothing ground breaking nor is it the “next big thing” but hopefully it will empower some to shed their fear from databases and enable themselves to work more efficiently with more data.
As such, this documentation also guide you through the database installation process. And gives some tips on the set-up.
Disclaimer¶
Usually, such a small repository would not need such an extensive documentation, but I decided to create this, as:
- I want to propose the easiest, most attractive way for individuals working with rivus to the database world.
- I wanted to teach myself reStructuredText, Sphinx and the whole readthedocs work-flow.
Although, I thrive to publish useful, practical materials. All the code is provided “as is”. No responsibility is taken for any caused errors.


Activity Space¶
With the Point GeoDataFrame, we can measure activity space by building geometric shapes using minimum bounding box methods. There are several ways to build minimum bounding box, including buffer, convex hull, circle, envelope, etc., each with pros and cons depending on the geographic distribution of the Point GeoDataFrame. Currently, we support buffer and convex hull methods in building minimum bounding box and calculating corresponding activity space. The following examples demonstrate how to implement buffer- and convex hull-based activity space. We will use the example data we used in the last section as an example to illustrate how to calculate buffer- and convex hull-based activity space. You can refer to here for how we compile the data.
We first need to import libraries we will be using for the examples.
[1]:
%matplotlib inline
import pandas as pd
import geopandas as gpd
import matplotlib.pyplot as plt
We then load the data and create spatial data using the df_to_gdf
method as we did in the last section.
[2]:
df = pd.read_csv('../data/example.csv')
df.head()
[2]:
| pid | timestamp | latitude | longitude | |
|---|---|---|---|---|
| 0 | P2 | 2020-04-27 10:42:22.162176000 | 40.993799 | -76.669419 |
| 1 | P2 | 2020-06-02 01:12:45.308505600 | 39.946904 | -78.926234 |
| 2 | P2 | 2020-05-08 23:47:33.718185600 | 41.237403 | -79.252317 |
| 3 | P2 | 2020-04-26 14:31:12.100310400 | 41.991390 | -77.467769 |
| 4 | P2 | 2020-03-31 15:53:27.777897600 | 41.492674 | -76.542921 |
There are two persons, P1 and P2, and their locations along with timestamp.
[3]:
from gps2space import geodf
[4]:
gdf = geodf.df_to_gdf(df, x='longitude', y='latitude')
gdf.head()
[4]:
| pid | timestamp | latitude | longitude | geometry | |
|---|---|---|---|---|---|
| 0 | P2 | 2020-04-27 10:42:22.162176000 | 40.993799 | -76.669419 | POINT (-76.66942 40.99380) |
| 1 | P2 | 2020-06-02 01:12:45.308505600 | 39.946904 | -78.926234 | POINT (-78.92623 39.94690) |
| 2 | P2 | 2020-05-08 23:47:33.718185600 | 41.237403 | -79.252317 | POINT (-79.25232 41.23740) |
| 3 | P2 | 2020-04-26 14:31:12.100310400 | 41.991390 | -77.467769 | POINT (-77.46777 41.99139) |
| 4 | P2 | 2020-03-31 15:53:27.777897600 | 41.492674 | -76.542921 | POINT (-76.54292 41.49267) |
[5]:
pa = gpd.read_file('../data/pacounty.shp')
[6]:
ax = pa.boundary.plot(figsize=(12, 12), edgecolor='black', linewidth=0.6)
gdf.plot(ax=ax, column='pid')
plt.show();
The figure shows the distribution of our data with two different colors representing P1 and P2, respectively.
Buffer-based activity space¶
We import the space
module. The space
module has a function buffer_space
which takes four parameters:
gdf: This is your GeoDataFrame
dist: This is the buffer distance, the default value is 0 meter
dissolve: This is the level of aggregating from which you aggregate points to form polygon, the default value is week
proj: This is the EPSG identifier you want to use to project your spatial data, the default value is 2163
Please note: Buffer distance and your projection are related. For raw Lat/Long coordinate pairs (often called unprojected data), the unit is degree. It is not usual to buffer geometry in degrees. You have to decide which projection system is most appropriate for your own data based on the geographical location. For example, EPSG:2163 is commonly used in the United States, and the unit of distance is meter. See here for more information about EPSG identifier.
In this example, we will calculate activity space on a weekly basis. Before that, we need to create a column represents week
from the timestamp. We will also create year
and month
just to show how you can obtain those information from timestamp. It is better to include infer_datetime_format=True
because this will make datetime
function much faster, especially when dealing with big data.
[7]:
gdf['timestamp'] = pd.to_datetime(gdf['timestamp'], infer_datetime_format=True)
gdf['year'] = gdf['timestamp'].dt.year
gdf['month'] = gdf['timestamp'].dt.month
gdf['week'] = gdf['timestamp'].dt.week
gdf.head()
[7]:
| pid | timestamp | latitude | longitude | geometry | year | month | week | |
|---|---|---|---|---|---|---|---|---|
| 0 | P2 | 2020-04-27 10:42:22.162176000 | 40.993799 | -76.669419 | POINT (-76.66942 40.99380) | 2020 | 4 | 18 |
| 1 | P2 | 2020-06-02 01:12:45.308505600 | 39.946904 | -78.926234 | POINT (-78.92623 39.94690) | 2020 | 6 | 23 |
| 2 | P2 | 2020-05-08 23:47:33.718185600 | 41.237403 | -79.252317 | POINT (-79.25232 41.23740) | 2020 | 5 | 19 |
| 3 | P2 | 2020-04-26 14:31:12.100310400 | 41.991390 | -77.467769 | POINT (-77.46777 41.99139) | 2020 | 4 | 17 |
| 4 | P2 | 2020-03-31 15:53:27.777897600 | 41.492674 | -76.542921 | POINT (-76.54292 41.49267) | 2020 | 3 | 14 |
Now that we have the week column, we can calculate buffer-based activity space on a weekly basis using the buffer_space
function and pass your choice to the four parameters we mentioned before. In this example, we will use 100 meters as buffer distance and project our data in EPSG:2163.
Please also note that Pandas use the ISO week date system to determine week of a specific date. Sometimes the results is not intuitive, for example:
print(pd.Timestamp('01-01-2017 12:00:00').week)
This will give a result of week number 52, rather than week number 1. This is not necessary wrong, see discussion here. You can work around this issue (if it is a issue to you) by using DataOffset
(see discussion here) like the following (although we
do not recommend doing this):
gdf['week_new'] = (gdf['timestamp'] + pd.DateOffset(days=1)).dt.week
[8]:
from gps2space import space
[9]:
buff_space = space.buffer_space(gdf, dist=100, dissolve='week', proj=2163)
[10]:
buff_space.head()
[10]:
| week | geometry | pid | timestamp | latitude | longitude | year | month | buff_area | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | MULTIPOLYGON (((1720869.317 -318189.673, 17208... | P2 | 2020-01-05 07:50:30.081292799 | 40.199583 | -79.496295 | 2020 | 1 |<PHONE_NUMBER>38 |
| 1 | 2 | MULTIPOLYGON (((1825885.684 -276078.791, 18258... | P2 | 2020-01-09 09:16:06.603628800 | 40.156435 | -77.230625 | 2020 | 1 | 94096.454716 |
| 2 | 3 | MULTIPOLYGON (((1890877.371 -286206.003, 18908... | P2 | 2020-01-16 04:50:28.301625600 | 40.705452 | -78.310757 | 2020 | 1 |<PHONE_NUMBER>33 |
| 3 | 4 | MULTIPOLYGON (((1745374.124 -298916.733, 17453... | P2 | 2020-01-26 07:27:26.824550400 | 41.820474 | -76.526561 | 2020 | 1 |<PHONE_NUMBER>49 |
| 4 | 5 | MULTIPOLYGON (((1940968.545 -274223.560, 19409... | P2 | 2020-01-31 16:15:44.942918400 | 40.820036 | -78.510162 | 2020 | 1 |<PHONE_NUMBER>38 |
We can double-check what is the unit in EPSG:2163 projection system:
[11]:
buff_space.crs.axis_info[0].unit_name
[11]:
'metre'
The result is “metre”. Accordingly, the buff_area
column represents the buffer-based activity space measured in square meters on a weekly basis. You probably noticed that this example did not separate P1 and P2 in calculating activity space. Currently, the dissolve
parameter only accept one string, not a list of strings. To get activity space for each person on a weekly basis is easy, all you need to do is to concatenate pid
and week
, then dissolve by the newly created column.
[12]:
gdf['person_week'] = gdf['pid'].astype(str) + '_' + gdf['week'].astype(str)
buff_space_person_week = space.buffer_space(gdf, dist=100, dissolve='person_week', proj=2163)
buff_space_person_week[['person_week','geometry','year','month','week','buff_area']].head()
[12]:
| person_week | geometry | year | month | week | buff_area | |
|---|---|---|---|---|---|---|
| 0 | P1_1 | MULTIPOLYGON (((1743324.165 -263838.253, 17433... | 2020 | 1 | 1 | 94096.454716 |
| 1 | P1_10 | MULTIPOLYGON (((1910985.055 -311470.562, 19109... | 2020 | 3 | 10 |<PHONE_NUMBER>27 |
| 2 | P1_11 | POLYGON ((1639281.583 -176601.784, 1639281.101... | 2020 | 3 | 11 | 31365.484905 |
| 3 | P1_12 | MULTIPOLYGON (((2042446.974 -187451.693, 20424... | 2020 | 3 | 12 | 62730.969811 |
| 4 | P1_13 | MULTIPOLYGON (((1736946.385 -338001.805, 17369... | 2020 | 3 | 13 | 94096.454716 |
Now you get the activity space for each person on a weekly basis. Likewise, you can easily get each person’s activity space on a yearly basis by simply concatenating pid
and year
, or activity space on a monthly basis by simply concatenating pid
and month
You can select the columns you are interested and save the GeoDataFrame to a spatial dataset or non-spatial dataset. Here, we save the GeoDataFrame to a shp
file and a csv
file.
[13]:
buff_space_person_week[['person_week','buff_area','geometry']].to_file('../data/buffer_space.shp')
buff_space_person_week[['person_week','buff_area']].to_csv('../data/buffer_space.csv')
Convex hull-based space¶
We can also calculate the convex hull-based activity space using the convex_space
function. The convex_space
takes three parameters:
gdf: This is your GeoDataFrame
group: This is the level of aggregating from which you group points to form polygon, the default value is week
proj: This is the EPSG identifier you want to use to project your spatial data, the default value is 2163
In this example, we will dissolve the points by person_week
[14]:
convex_space = space.convex_space(gdf, group='person_week', proj=2163)
[15]:
convex_space.head()
[15]:
| person_week | geometry | convx_area | |
|---|---|---|---|
| 0 | P1_1 | POLYGON ((-79.08352 40.61927, -78.64613 41.031... | 0.459119 |
| 1 | P1_10 | POLYGON ((-77.29803 39.81326, -78.33096 41.824... | 2.980511 |
| 2 | P1_11 | POINT (-80.05021 41.60526) | 0.000000 |
| 3 | P1_12 | LINESTRING (-78.86727 41.79762, -75.39833 40.5... | 0.000000 |
| 4 | P1_13 | POLYGON ((-79.36647 39.99230, -77.46196 41.851... | 1.425932 |
The convx_area
column represents the convex hull-based activity space measured in square meters in EPSG:2163. This dataset is not perfect, we see that in Week 11 for P1, there is only one point, therefore a Point shape is constructed and 0 is returned for its area. Similarly, in Week 12 for P1, a line shape is constructed rather than a Polygon and 0 is returned for its area. You can also save this GeoDataFrame to a spatial dataset or a non-spatial dataset just like what we have done for
the buffer-based activity space measure.
Which method to choose¶
There are pros and cons of the buffer- and convex hull-based measure of activity space. Knowing how they work will help you understand the process and choose the appropriate method.
The following figure shows the buffer-based activity space (in red color) and convex hull-based activity space (in blue color) from a set of Lat/Long coordinate pairs (in black color). In essence, what buffer-based activity space does is: first, draw a circle around every point using specified buffer distance, then dissolve all the buffers into a single feature to form a Polygon. What convex hull-based activity space does is to line up the outermost points and form the polygon.
The pro of buffer-based activity space is that it works with even only one point where the activity space is eventually the area of the circle. However, you have to specify the buffer distance which sometimes is arbitrary and varies across disciplines.
The convex hull-based activity space does not need any arbitrary parameter. However, if there are two or three points that can line up, it is impossible to form an enclosing shape, and the returned activity space will be 0. In addition, if there are extreme points that are beyond the point cluster, the convex hull-based activity space will be inflated.
The choice of methods depends on which one makes more sense for you research questions and which one is widely acceptable in your field.
Other than the buffer- and convex hull-based minimum bounding box, there are other methods, for example, circle, envelope, concave, etc. We may (or may not) include those methods in our package later on.


3 references to Constant
System.Management.Automation (3)
engine\interpreter\LightLambda.cs (1)
177
var self = AstUtils.
Constant
(this);
engine\interpreter\LightLambdaClosureVisitor.cs (1)
184
return Expression.Invoke(AstUtils.Constant(helper), Expression.RuntimeVariables(vars), boxesArray, AstUtils.
Constant
(indexes));
engine\interpreter\Utilities.cs (1)
307
AstUtils.
Constant
(index)


Permission class
A permission containing a number of requirements.
class Permission extends Principled { // Shortcut to requirements. Set get needs => reqs; /** * Creates a new Permission for a single requirement value. */ Permission(dynamic value) { add(value); } /** * Creates a new permission for the given list of requirement values. */ Permission.s(List<dynamic> values) { addMany(values); } /** * Returns whether this permission can be accessed by the identity. */ bool allows(Identity identity) => identity.contains(this); }
Extends
Principled > Permission
Constructors
new Permission(value) #
Creates a new Permission for a single requirement value.
Permission(dynamic value) { add(value); }
new Permission.s(List<Dynamic> values) #
Creates a new permission for the given list of requirement values.
Permission.s(List<dynamic> values) { addMany(values); }
Properties
final Set needs #
Set get needs => reqs;
Methods
add(value) #
inherited from Principled
Adds a requirement value to this principled.
add(dynamic value) => reqs.add(new Requirement(value));
addMany(List<Dynamic> values) #
inherited from Principled
Adds many requirement values to this principled.
addMany(List<dynamic> values) => values.forEach(add);
bool allows(Identity identity) #
Returns whether this permission can be accessed by the identity.
bool allows(Identity identity) => identity.contains(this);
bool contains(Principled other) #
inherited from Principled
Returns whether the other principled is contained by this one.
bool contains(Principled other) => reqs.containsAll(other.reqs);


|
Slow Transients Pipeline Prototype
Component of the Science Data Processor being developed in the context of the Square Kilometre Array international project, which provides fast snapshot imaging, object detection and cataloguing for the identification of astrophysical image-plane transients.
|
Classes and function prototypes of aw_projection. More...
#include "../common/fft.h"
#include "../common/matstp.h"
#include "../common/spline.h"
#include "../types.h"
#include <armadillo>
Go to the source code of this file.
Classes | |
| class | stp::WideFieldImaging |
| The WideFieldImaging class. More... | |
Namespaces | |
| stp | |
Functions | |
| double | stp::parangle (double ha, double dec_d, double lat_d) |
| Compute parallatic angle for beam rotation. More... | |
Classes and function prototypes of aw_projection.


|
clang::tidy PagesJaunes rules
1.0
Rules for manipulating PagesJaunes eSQL requests
|
#include <ExecSQLLOBOpenToFunctionCall.h>
Classes | |
| struct | AssignmentRecord |
| struct | ReqFmtRecord |
| class | SourceRangeBefore |
| class | SourceRangeForStringLiterals |
| struct | StringLiteralRecord |
Public Types | |
| using | source_range_set_t = std::multiset< SourceRangeForStringLiterals, SourceRangeBefore > |
Public Member Functions | |
| ExecSQLLOBOpenToFunctionCall (StringRef, ClangTidyContext *) | |
| Constructor for the ExecSQLLOBOpenToFunctionCall rewriting check. More... | |
| void | storeOptions (ClangTidyOptions::OptionMap &Opts) override |
| Store options for this check. More... | |
| void | registerMatchers (ast_matchers::MatchFinder *) override |
| Register the ASTMatcher that will found nodes we are interested in. More... | |
| void | registerPPCallbacks (CompilerInstance &Compiler) override |
| Register callback for intercepting all pre-processor actions. More... | |
| void | check (const ast_matchers::MatchFinder::MatchResult &) override |
| This method is called each time a visited AST node matching our ASTMatcher is found. More... | |
Public Attributes | |
| ClangTidyContext * | TidyContext |
Protected Attributes | |
| std::vector< struct StringLiteralRecord * > | m_req_copy_collector |
| std::vector< struct AssignmentRecord * > | m_req_assign_collector |
| std::vector< struct ReqFmtRecord * > | m_req_fmt_collector |
Definition at line 27 of file ExecSQLLOBOpenToFunctionCall.h.
| using clang::tidy::pagesjaunes::ExecSQLLOBOpenToFunctionCall::source_range_set_t = std::multiset<SourceRangeForStringLiterals, SourceRangeBefore> |
Definition at line 87 of file ExecSQLLOBOpenToFunctionCall.h.
| clang::tidy::pagesjaunes::ExecSQLLOBOpenToFunctionCall::ExecSQLLOBOpenToFunctionCall | ( | StringRef | Name, |
| ClangTidyContext * | Context | ||
| ) |
Constructor for the ExecSQLLOBOpenToFunctionCall rewriting check.
ExecSQLLOBOpenToFunctionCall constructor
The rule is created a new check using its ClangTidyCheck
base class. Name and context are provided and stored locally. Some diag ids corresponding to errors handled by rule are created:
| Name | A StringRef for the new check name |
| Context | The ClangTidyContext allowing to access other contextsInit check (super class) Init our TidyContext instance Request grouping option: Filename containing a json map for a group name indexing a vector of requests name |
Definition at line 127 of file ExecSQLLOBOpenToFunctionCall.cpp.
|
override |
This method is called each time a visited AST node matching our ASTMatcher is found.
check
This method will navigated and inspect the found AST nodes for:
| Result | The match result provided by the recursive visitor allowing us to access AST nodes bound to variables |
Definition at line 900 of file ExecSQLLOBOpenToFunctionCall.cpp.
|
override |
Register the ASTMatcher that will found nodes we are interested in.
registerMatchers
This method register 1 matcher for each oracle ProC generated statement to rewrite. The matcher bind elements we will use, for detecting the found statement we want to rewrite , and for writing new code.
| Finder | the recursive visitor that will use our matcher for sending us AST node. |
Definition at line 542 of file ExecSQLLOBOpenToFunctionCall.cpp.
|
override |
Register callback for intercepting all pre-processor actions.
ExecSQLLOBOpenToFunctionCall::registerPPCallbacks
Allows to register a callback for executing our actions at every C/C++ pre-processor processing. Thanks to this callback we will collect all string literal macro expansions.
| [in] | compiler | the compiler instance we will intercept |
Definition at line 563 of file ExecSQLLOBOpenToFunctionCall.cpp.
|
override |
Store options for this check.
storeOptions
This check support one option for customizing comment regex
| Opts | The option map in which to store supported options |
Definition at line 516 of file ExecSQLLOBOpenToFunctionCall.cpp.
|
protected |
Definition at line 174 of file ExecSQLLOBOpenToFunctionCall.h.
|
protected |
Definition at line 117 of file ExecSQLLOBOpenToFunctionCall.h.
|
protected |
Definition at line 223 of file ExecSQLLOBOpenToFunctionCall.h.
| ClangTidyContext* clang::tidy::pagesjaunes::ExecSQLLOBOpenToFunctionCall::TidyContext |
Definition at line 31 of file ExecSQLLOBOpenToFunctionCall.h.


Example of Responsive Form
This is my form. Fill it out. It's Awesome.
Your Name
Email Id
Contact Number
Website URL
Message


U.S. Central Command says no U.S. military drones shot down
WASHINGTON (Reuters) - All Pentagon drones are accounted for, the U.S. Central command said in a statement on Friday, following reports from Iran’s state news agency that Iranian forces had shot down a foreign country’s drone.
“Alleged reports of a U.S. drone being shot down are incorrect. If a UAS had gone down in the CENTCOM AOR it was not a #DoD asset. All U.S. equipment has been accounted for,” U.S. Central Command said in a post on Twitter.


|
SensESP
0.5.1
Universal Signal K sensor framework for ESP8266 and ESP32
|
#include <signalk_output.h>
Public Member Functions | |
| SKOutput () | |
| SKOutput (String sk_path, String config_path="") | |
| virtual void | set_input (T new_value, uint8_t input_channel=0) override |
| virtual String | as_signalk () override |
| virtual void | get_configuration (JsonObject &root) override |
| String | get_config_schema () override |
| virtual bool | set_configuration (const JsonObject &config) override |
| String | as_signalk () |
| String | as_signalk () |
| Public Member Functions inherited from SKEmitter | |
| SKEmitter (String sk_path) | |
| String & | get_sk_path () |
| void | set_sk_path (const String &path) |
| Public Member Functions inherited from Observable | |
| void | notify () |
| void | attach (std::function< void()> observer) |
| Public Member Functions inherited from SymmetricTransform< T > | |
| SymmetricTransform (String config_path="") | |
| Public Member Functions inherited from Transform< T, T > | |
| Transform (String config_path="") | |
| Transform< T, T > * | connectFrom (ValueProducer< T > *producer0, ValueProducer< T > *producer1=NULL, ValueProducer< T > *producer2=NULL, ValueProducer< T > *producer3=NULL, ValueProducer< T > *producer4=NULL) |
Additional Inherited Members | |
| Static Public Member Functions inherited from SKEmitter | |
| static const std::vector< SKEmitter * > & | get_sources () |
| Protected Attributes inherited from SKEmitter | |
| String | sk_path |
Definition at line 17 of file signalk_output.h.
Definition at line 19 of file signalk_output.h.
Returns the data to be reported to the server as a Signal K json string.
Reimplemented from SKEmitter.
Definition at line 5 of file signalk_position.cpp.
Returns the data to be reported to the server as a Signal K json string.
Reimplemented from SKEmitter.
|
inlineoverridevirtual |
Returns the data to be reported to the server as a Signal K json string.
Reimplemented from SKEmitter.
Definition at line 31 of file signalk_output.h.
|
inlineoverride |
Definition at line 44 of file signalk_output.h.
|
inlineoverridevirtual |
|
inlineoverridevirtual |
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inlineoverridevirtual |