Samuel
1
1 After Saul died, David and the men who were with him returned to the town of Ziklag after defeating the descendants of Amalek. They stayed in Ziklag for two days.
2 On the third day, a man unexpectedly arrived there who had been in Saul's army. He had torn his clothes and put dust on his head to show that he was grieving. He came to David and prostrated himself on the ground in front of David to show respect for him.
3 David asked him, "Where have you come from?" The man replied, "From the Israelite army."
4 David asked him, "What happened? Tell me about the battle!" The man replied, "Our soldiers ran away. Many of them were killed. And Saul and his son Jonathan are dead."
5 David said to the young man, "How do you know that Saul and Jonathan are dead?"
6 The young man replied, "I was on Mount Gilboa where the fighting was. I saw Saul; he was leaning on his spear. The enemy chariots and their drivers were coming very close to him.
7 Saul turned around and saw me, and he called out to me. I answered him and said, 'What do you want me to do?'
8 He replied, 'Who are you?' I replied, 'I am a descendant of Amalek.'
9 Then he said to me, 'Come over here and kill me. I am in very much pain.'
10 So I went to him and killed him, because I saw that he was wounded very badly and would not continue to live.
11 Then David and all the men who were with him tore their clothes to show that they were very sad.
12 They mourned for Saul and his son Jonathan, and they cried and fasted; they would continue to do that until evening.
13 But David asked the young man who had told him about the battle, "Where are you from?" He replied, "My father is a descendant of Amalek, but we live in Israel."
 So you have made yourself guilty; you deserve to die!" Then David summoned one of his soldiers and said to him, "Kill him!" So the soldier killed him.
17 Then David composed this sad song about Saul and Jonathan,
18 and he ordered the men with him to teach it to the people of Judah. The song is called "The Bow," and it has been written down in the Book of Jashar:
19 "You Israelite people, your glorious leaders have been killed on the mountains!
It is very sad that these mighty men have died!
20 Do not tell it to our enemies in the region of Philistia.
Do not tell the people who live in the city of Gath.
Do not proclaim it in the streets of the city of Ashkelon, or their women would celebrate.
Do not allow those pagan women to rejoice.
21 I hope there will be no rain or dew ever again on the mountains of Gilboa
and that no grain will grow in the fields there,
because it was there that the shield of Saul, the mighty king, fell to the ground.
Now there is no one to rub olive oil on Saul's shield.
22 Jonathan's arrows were his servants who always pierced his enemies and drew their blood.
and Saul's sword was his servant who always struck his enemies.
23 Saul and Jonathan were loved; they pleased many people.
They were together while they lived and when they died.
In battle they were swifter than eagles and stronger than lions.
24 You women in Israel, weep about Saul.
He provided beautiful scarlet clothes for you
and gave you gold ornaments to put on.
25 It is very sad that my brother Jonathan has died
He was a mighty soldiers, and his enemies killed him on the mountain.
26 Jonathan, my dear friend, I grieve for you.
You were very dear to me.
You loved me in a wonderful manner.
It was even better than the way that a woman loves her husband and her children.
27 It is very sad that these mighty men have died,
and that their weapons are now no more!


Clojure is a dynamic, general-purpose, functional programming language that is a dialect of Lisp, and runs on the JVM. It was created by Rich Hickey and is open source.
All Clojure code, just like all lisp code, is built up of actual Clojure data structures. Take a function call, for example:
(Math/pow 2 8) ;; => 256.0
This is a list of different elements - the identifier for the function,
Math/pow
, and the two arguments 2 and 8. The Clojure REPL or compiler will
automatically evaluate this list, and call the Math/pow
function on 2 and 8,
but if the list is quoted - and therefore not evaluated, the REPL will simply
return the actual list itself:
(quote (Math/pow 2 8)) ;; => (Math/pow 2 8))
After that, we can evaluate the quoted list, creating a more verbose (and pointless) way of writing Clojure code:
(eval (quote (Math/pow 2 8))) ;; => 256.0
As Clojure runs on the JVM, all of the basic data types correspond to data types in Java.
"clojure"
are Java strings, e.g. "java"
.true
and false
have the same boolean values in Clojure and Java.nil
, corresponds to the null
value in Java.'b'
, are delimited with a backslash in
Clojure, e.g. \b
Clojure has a function for finding the class from which something derives, and it is used like this:
(class 5) ;; => java.lang.Long (class 3.14) ;; => java.lang.Double (class "fido") ;; => java.lang.String (class false) ;; => java.lang.Boolean
All the types mentioned above are scalar types- the kind of types that aren't collections. The opposite set of types is called, obviously, collection types
The most common collection-based data structures in Clojure are the following four:
(class (quote ("hello" 44.5 true "goodybe"))) ;; => clojure.lang.PersistentList
(class [x y 2 5 "fido"]) ;; => clojure.lang.PersistentVector
(class {:name "Red" :hex "#FF0000"}) ;; => clojure.lang.PersistentArrayMap
(class #{1 2 3 4 5}) ;; => clojure.lang.PersistentHashSet


Rick Wicklin (@RickWicklin) posted a blog post recently about how to visualize repetition in song lyrics using SAS. I wanted to do the same thing using R and also utilizing geniusr to more easily access a variety of song lyrics to compare.
Note: There is also geniusR that I did not dig into further.
First let’s create some functions to make it easy to compare a bunch of different songs.
Step 1: Get Lyrics
require(geniusr)
require(dplyr)
require(stringr)
To use the Genius API, you will need a client access token.
This will prompt you to enter your client access token.
genius_token()
Let’s test it out with the catchy ``Shape of You" by Ed Sheeran.
findSong <- search_song(search_term = "shape of you") %>%
filter(artist_name == "Ed Sheeran")
lyrics <- scrape_lyrics_id(song_id = findSong$song_id[1])
## more than one of this song because of remixes, we just want the first one
head(lyrics)
## # A tibble: 6 x 5
## line song_id song_name artist_id artist_name
## <chr> <int> <chr> <int> <chr>
## 1 The club isn't the best place … 2949128 Shape of … 12418 Ed Sheeran
## 2 So the bar is where I go 2949128 Shape of … 12418 Ed Sheeran
## 3 Me and my friends at the table… 2949128 Shape of … 12418 Ed Sheeran
## 4 Drinking fast and then we talk… 2949128 Shape of … 12418 Ed Sheeran
## 5 And you come over and start up… 2949128 Shape of … 12418 Ed Sheeran
## 6 And trust me I'll give it a ch… 2949128 Shape of … 12418 Ed Sheeran
Step 2: Preprocess Lyrics
This gives us a line per row, but we want individual words. We also want to pre-process the text, removing punctuation and transferring to lower case.
allone=str_c(lyrics$line,collapse=" ") ##concatenate
## remove punctuation
allone=gsub(",","",allone)
allone=gsub("\\.","",allone)
allone=gsub("?","",allone)
allone=gsub("!","",allone)
allone=gsub("\\(","",allone)
allone=gsub("\\)","",allone)
alloneLower=tolower(allone)
wordByWord=unlist(strsplit(alloneLower," "))
head(wordByWord)
## [1] "the" "club" "isn't" "the" "best" "place"
We can generalize this code into a function for future use.
processSong<-function(songName,artist){
findSong <- search_song(search_term = songName) %>%
filter(artist_name == artist)
lyrics <- scrape_lyrics_id(song_id = findSong$song_id[1])
allone=str_c(lyrics$line,collapse=" ")
## remove punctuation
allone=gsub(",","",allone)
allone=gsub("\\.","",allone)
allone=gsub("?","",allone)
allone=gsub("!","",allone)
allone=gsub("\\(","",allone)
allone=gsub("\\)","",allone)
alloneLower=tolower(allone)
wordByWord=unlist(strsplit(alloneLower," "))
}
Step 3: Make Plot
We create a matrix of zeros that has the same number of rows and columns as number of words in the song.
If a word occurs as the second and tenth word in the song, we have a match, and (2,10) will be represented by a one.
toPlot=matrix(0,nrow=length(wordByWord),ncol=length(wordByWord))
findMatch<-function(x,corpus){
matches=which(corpus==corpus[x])
cbind(rep(x,length(matches)),matches)
} ## get (i,j) pairs to fill in
matches=lapply(1:length(wordByWord),findMatch,wordByWord)
toFill=do.call("rbind",matches)
toPlot[toFill]=1
Note: to match the plots made in Wicklin’s post, we make (1,1) in the top left corner. White denotes repetition. A groups of repeated words often is a chorus.
mtx.tmp.h <- apply(toPlot, 1, rev) ## need to flip horizontally
# thank you to: https://everydropr.wordpress.com/2012/10/16/a-simple-way-to-flip-a-matrix-or-an-array/
image(1:length(wordByWord),1:length(wordByWord),mtx.tmp.h,col=gray.colors(2),xaxt="n",yaxt="n",xlab="",ylab="") ## 1,1 bottom left instead of top left
We calculate the repetition score defined as the proportion of ones in the upper triangular portion of the matrix.
length(which(mtx.tmp.h[upper.tri(mtx.tmp.h)]==1))/length(which(upper.tri(mtx.tmp.h)))
## [1] 0.03143664
We can also generalize this code into a function for future use.
makeRepetitionPlot<-function(lyrics,songName,artist){
matches=lapply(1:length(lyrics),findMatch,lyrics)
toFill=do.call("rbind",matches)
toPlot=matrix(0,nrow=length(lyrics),ncol=length(lyrics))
toPlot[toFill]=1
mtx.tmp.h <- apply(toPlot, 1, rev)
#https://everydropr.wordpress.com/2012/10/16/a-simple-way-to-flip-a-matrix-or-an-array/
repScore=length(which(mtx.tmp.h[upper.tri(mtx.tmp.h)]==1))/length(which(upper.tri(mtx.tmp.h)))
##proportion of 1s in the upper triangular portion of the matrix
image(1:length(lyrics),1:length(lyrics),mtx.tmp.h,col=gray.colors(2),xaxt="n",yaxt="n",xlab="",ylab="",
main=paste(songName,"by",artist,sep=" "),sub=paste("Repetition Score =",round(repScore,2),sep=" "))
## 1,1 bottom left instead of top left
}
Now that we have the code to make a repetition matrix for any song, we can compare different songs and artists. Below I give some examples of directions that further analysis could take.
I would expect a hit to be more repetitive than another song (one without a music video/not played on the radio) off the same album.
lyr=processSong("Shape of You","Ed Sheeran")
lyr2=processSong("New Man","Ed Sheeran")
par(mfrow=c(1,2))
makeRepetitionPlot(lyr,"Shape of You","Ed Sheeran")
makeRepetitionPlot(lyr2,"New Man","Ed Sheeran")
It would be interesting to compare repetition as artists evolve.
lyr=processSong("Senorita","Justin Timberlake")
lyr2=processSong("Say Something","Justin Timberlake")
par(mfrow=c(1,2))
makeRepetitionPlot(lyr,"Senorita","Justin Timberlake")
makeRepetitionPlot(lyr2,"Say Something","Justin Timberlake")
When I was trying to pick examples for this post, my brother Scott recommended looking at the song ``Gucci Gang" because of how often those two words occur in the song. To juxtapose this repetition, I chose Eminem who is known for rap that tells more of a story with songs that sometimes do not even have a reoccurring chorus.
lyr=processSong("Gucci Gang","Lil Pump")
lyr2=processSong("Lose Yourself","Eminem")
par(mfrow=c(1,2))
makeRepetitionPlot(lyr,"Gucci Gang","Lil Pump")
makeRepetitionPlot(lyr2,"Lose Yourself","Eminem")
It would also be interesting to compare repetition between different genres. Luckily, Taylor Swift’s work has spanned both country and pop (and even some rap).
lyr=processSong("Teardrops on My Guitar","Taylor Swift")
lyr2=processSong("Shake it Off","Taylor Swift")
lyr3=processSong("End Game","Taylor Swift")
par(mfrow=c(1,3))
makeRepetitionPlot(lyr,"Teardrops on My Guitar","Taylor Swift")
makeRepetitionPlot(lyr2,"Shake it Off","Taylor Swift")
makeRepetitionPlot(lyr3,"End Game","Taylor Swift")
I am curious to see what others can find. If you use this code to find some interesting patterns in other songs (or improve the code in any way), please let me know (@sastoudt).


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is a non-stock, non-profit national alliance which aim is to unite & strengthen the network of various initiatives in response to the needs & the situation of the Filipino child as well as promoting their rights both national and international.
Go somewhereThe ACT Teachers Partylist pledges to represent, assist and defend teachers and other education workers in advancing our vocation, economic welfare and democratic rights.
Go somewhereLargest nontraditional teachers’ organization in the country which works for the economic and political well-being of teachers and all other education workers
Go somewhereis the national alliance of regional and provincial indigenous peoples organizations representing various indigenous communities in the Philippines.
Go somewhereA nationwide alliance of more than 200 women’s organizations that cut across sectors and regions, plus chapters and support groups of Pinays and non-Pinays in various continents of the world.
Go somewhereis a sectoral party promoting the rights and welfare of marginalized and under-represented Filipino women, children and OFWs through participation in the country’s electoral system.
Go somewhereis an alliance of individuals, groups and organizations working for the promotion and protection of human rights in the Philippines. Its founders and members have been at the forefront of the human rights struggle in the Philippines since the time of Marcos’ martial law regime.
Go somewhereInternational is a service institution with an international character and scope of work. In our advocacy, we cooperate mainly with social movements and civil society constituencies in all regions of the world, especially in the global South and among marginalised groups.
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Go somewhereis a non- stock, non-profit, non-government institution serving children and families who are victims of state violence in the Philippines. Its services are focused on children in the rural and urban areas who suffer physical health problems, emotional disorders and social maladjustments due to traumatic events such as arrest, torture, forced displacement, strafing, bombing, massacre, disappearance and other forms of human rights violations.
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Go somewhereThe Association for the Rights of Children in Southeast Asia has its core program – Children’s Empowerment Program (CEP). Its main objective is to provide projects for women’s organizations, health care institutions, daycare centers and people’s organizations to realize children’s rights. To assert children’s right to participation in social transformation, four components are included in the CEP.
Go somewhereis committed to the challenge of realizing the transformative and liberative aspect of the Christian faith in unity and service of the oppressed, toiling and struggling people, leading the Christian student to a reawakened relevance in the campus, church and society.
Go somewhere


This setting shouldn't be here. Could you change it to the default to make it go away? Sorry about that. {% endblocktrans %}


#include <ResupplyReceivedPdu.h>
Copyright (c) 2007-2009, MOVES Institute, Naval Postgraduate School. All rights reserved.
| ResupplyReceivedPdu::ResupplyReceivedPdu | ( | ) |
| ResupplyReceivedPdu::~ResupplyReceivedPdu | ( | ) | [virtual] |
| int ResupplyReceivedPdu::getMarshalledSize | ( | ) | const [virtual] |
Reimplemented from DIS::LogisticsFamilyPdu.
| unsigned char ResupplyReceivedPdu::getNumberOfSupplyTypes | ( | ) | const |
| short ResupplyReceivedPdu::getPadding1 | ( | ) | const |
| char ResupplyReceivedPdu::getPadding2 | ( | ) | const |
| const EntityID & ResupplyReceivedPdu::getReceivingEntityID | ( | ) | const |
| EntityID & ResupplyReceivedPdu::getReceivingEntityID | ( | ) |
| const std::vector< SupplyQuantity > & ResupplyReceivedPdu::getSupplies | ( | ) | const |
| std::vector< SupplyQuantity > & ResupplyReceivedPdu::getSupplies | ( | ) |
| const EntityID & ResupplyReceivedPdu::getSupplyingEntityID | ( | ) | const |
| EntityID & ResupplyReceivedPdu::getSupplyingEntityID | ( | ) |
| void ResupplyReceivedPdu::marshal | ( | DataStream & | dataStream | ) | const [virtual] |
Reimplemented from DIS::LogisticsFamilyPdu.
| bool ResupplyReceivedPdu::operator== | ( | const ResupplyReceivedPdu & | rhs | ) | const |
| void ResupplyReceivedPdu::setPadding1 | ( | short | pX | ) |
| void ResupplyReceivedPdu::setPadding2 | ( | char | pX | ) |
| void ResupplyReceivedPdu::setReceivingEntityID | ( | const EntityID & | pX | ) |
| void ResupplyReceivedPdu::setSupplies | ( | const std::vector< SupplyQuantity > & | pX | ) |
| void ResupplyReceivedPdu::setSupplyingEntityID | ( | const EntityID & | pX | ) |
| void ResupplyReceivedPdu::unmarshal | ( | DataStream & | dataStream | ) | [virtual] |
Reimplemented from DIS::LogisticsFamilyPdu.
unsigned char DIS::ResupplyReceivedPdu::_numberOfSupplyTypes [protected] |
how many supplies are being offered
short DIS::ResupplyReceivedPdu::_padding1 [protected] |
padding
char DIS::ResupplyReceivedPdu::_padding2 [protected] |
padding
EntityID DIS::ResupplyReceivedPdu::_receivingEntityID [protected] |
Entity that is receiving service
std::vector<SupplyQuantity> DIS::ResupplyReceivedPdu::_supplies [protected] |
EntityID DIS::ResupplyReceivedPdu::_supplyingEntityID [protected] |
Entity that is supplying


| Field Summary | ||
|---|---|---|
const Number | GROUP | |
| Group | ||
const Number | ADJUST_HANDLES | |
| AdjustHandles | ||
const Number | TEXT | |
| Text | ||
const Number | POINTS | |
| Points | ||
const Number | CROP | |
| Crop | ||
const Number | SELECTION | |
| Selection | ||
const Number | MOVE | |
| Move | ||
const Number | ASPECT_RATIO | |
| AspectRatio | ||
const Number | ROTATION | |
| Rotation | ||
const Number | UNGROUP | |
| Ungroup | ||
const Number | RESIZE | |
| Resize | ||
const Number | SHAPE_TYPE | |
| ShapeType | ||
const Number | ARROWHEAD | |
| Arrowhead |
| Field Detail |
|---|
GROUP | |
const Number GROUP |
ADJUST_HANDLES | |
const Number ADJUST_HANDLES |
TEXT | |
const Number TEXT |
POINTS | |
const Number POINTS |
CROP | |
const Number CROP |
SELECTION | |
const Number SELECTION |
MOVE | |
const Number MOVE |
ASPECT_RATIO | |
const Number ASPECT_RATIO |
ROTATION | |
const Number ROTATION |
UNGROUP | |
const Number UNGROUP |
RESIZE | |
const Number RESIZE |
SHAPE_TYPE | |
const Number SHAPE_TYPE |
ARROWHEAD | |
const Number ARROWHEAD |


Assignment 2 -- Question 3
CS-663 Group-163059009,16305R011,16305R006
Contents
Intialization
Intializing the Color Map to 150 as max value of intensity in the image file is 100. Shrinking the image by 2 then adding the guassian blur of sigma 0.66file='../data/barbara.mat' cmap=150; scale=1/2; l = load(file); img1=l.imageOrig; imgShrink = imresize(img1,scale); GaussianFilter=fspecial('gaussian',[9,9],0.66); GaussianBlurResizedImage=imfilter(imgShrink,GaussianFilter);
Original Image
tic; img=GaussianBlurResizedImage; figure('name','Original Image'); imshow(GaussianBlurResizedImage,colormap(gray(cmap))); title('\fontsize{10}{\color{red}barbara}'); axis tight,axis on; o1 = get(gca, 'Position'); colorbar(),set(gca, 'Position', o1);
Patch base filtering
myPatchBasedFiltering function take image, then it corrupts the image by Guassain nosie with sigma 5% of the intensity range. After that it process the noisy by the Patch Based filtering. For performing the Patch Based filtering for Intensity region it use Gaussian Kernel with below configuration as input:
- Sigma (h): 26
- Sigma of Mask used to make patches Isotropic: 2
- Window Size: 25x25
- Patch Size: 9x9
Output: Returns three thing respectively
- Corruted/Noisy image
- Filtered Image
- Mask used to make patches Isotropic with sigma 2
Assumptions made
We resize the image by subsampling by a factor of 2 along each dimension, and then applied Gaussian blur of standard deviation around 0.66 pixel width to the resized image. This is done to reduce the time of the code
Comparison: Tuned parameter
Comparing the result of filtered image with corrupted and original image. RMSD is calculated between filtered and blurred(gaussian) downsampled image.
Time Taken
Time required for myPatchBasedFiltering takes approx 382 sec (6 mins) to produce result for image of size 256 x 256
Observation
With increasing sigma value RMSD value decrease but only to a certain value then it becomes constant.
Tuned Parametes
Tuned sigma for making patch isotropic is 2 and sigf for patch similarity is 26. RMSD between the filtered and Original image is 5.102581.
tic sigma=2; h=26; [corrupted,filtered,patchMask]=myPatchBasedFiltering(img,cmap,9,25,sigma,h); % Showing Nosiy image figure('name','barbara','units','normalized','outerposition',[0 0 1 1]); subplot(1,2,1); imshow(corrupted,colormap(gray(cmap))); title('\fontsize{10}{\color{red}Corrupted}'); axis tight,axis on; o1 = get(gca, 'Position'); colorbar(),set(gca, 'Position', o1); % Showing Filtered image subplot(1,2,2); imshow(filtered,colormap(gray(cmap))); title('\fontsize{10}{\color{magenta}Patch Based Filter}'); axis tight,axis on; o1 = get(gca, 'Position'); colorbar(),set(gca, 'Position', o1); % Calculating RMDS rmsError=sqrt(sum(sum((filtered-imgShrink).^2))/numel(imgShrink)); fprintf('Sigma:%d h:%d RMS of the image blur:%f\n',sigma,h,rmsError); toc pause(2);
Sigma:2 h:26 RMS of the image blur:5.102581 Elapsed time is 373.514881 seconds.
Patch Kernel
Mask used to make patches isotropic, as an image. Gaussian is used patch more isotropic (as compared to a square patch)
figure('name','Isotropic Mask'); title('\fontsize{10}{\color{magenta} Mask used to make patches isotropic, as an image.}'); imagesc(uint8(patchMask*cmap)),colormap(gray(cmap)),colorbar(); pause(2);
i) Comparison: (0.9 x tuned-sigma-intensity(h))
Sigma (h) is 0.9 * tuned sigma while othere parameters are constant. We are getting RMSD of the filtered image 4.922040.
tic %Patch Based Filtering [corrupted,filtered,patchMask]=myPatchBasedFiltering(img,cmap,9,25,sigma,0.9*h); % Showing Noisy image figure('name','barbara','units','normalized','outerposition',[0 0 1 1]); subplot(1,2,1); imshow(corrupted,colormap(gray(cmap))); title('\fontsize{10}{\color{red}Corrupted}'); axis tight,axis on; o1 = get(gca, 'Position'); colorbar(),set(gca, 'Position', o1); % Showing Filtered image subplot(1,2,2); imshow(filtered,colormap(gray(cmap))); title('\fontsize{10}{\color{magenta}Patch Based Filter-[sigma (h) =0.9*26]}'); axis tight,axis on; o1 = get(gca, 'Position'); colorbar(),set(gca, 'Position', o1); % Calculating RMSD rmsError=sqrt(sum(sum((filtered-imgShrink).^2))/numel(imgShrink)); fprintf('sigma:%d h:%d RMSD of filtered image:%f\n',sigma,h,rmsError); toc
sigma:2 h:23.400 RMSD of filtered image:4.922040 Elapsed time is 397.889722 seconds.
ii) Comparison: (1.1 x tuned-sigma (h))
Sigma (h) is 1.1 * tuned sigma while other parameters are constant. We are getting RMSD of the filtered image 5.296323
tic %Patch Based Filtering [corrupted,filtered,patchMask]=myPatchBasedFiltering(img,cmap,9,25,sigma, 1.1*h); % Showing Noisy image figure('name','barbara','units','normalized','outerposition',[0 0 1 1]); subplot(1,2,1); imshow(corrupted,colormap(gray(cmap))); title('\fontsize{10}{\color{red}Corrupted}'); axis tight,axis on; o1 = get(gca, 'Position'); colorbar(),set(gca, 'Position', o1); % Showing Filtered image subplot(1,2,2); imshow(filtered,colormap(gray(cmap))); title('\fontsize{10}{\color{magenta}Patch Based Filter-[sigma (h) =1.1*26]}'); axis tight,axis on; o1 = get(gca, 'Position'); colorbar(),set(gca, 'Position', o1); % Calculating RMSD rmsError=sqrt(sum(sum((filtered-imgShrink).^2))/numel(imgShrink)); fprintf('sigma:%d h:%d RMS of the image:%f\n',1.1*sigma,h,rmsError); toc;
sigma:2 h:28.6000 RMS of the image:5.296323 Elapsed time is 428.786847 seconds.


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| PAGE: Local groups
http://www.transhumanism.com/groups.htm CHILD LINKS: |
1. http://www.transhumanism.com/wtalogo24.gif (Missing: Alt) |
2. http://www.transhumanism.com/aleph.gif (Missing: Alt) |
3. http://www.transhumanism.com/exi.gif (Missing: Alt) |
4. http://www.transhumanism.com/transcedo.gif (Missing: Alt) |
5. http://www.transhumanism.com/wtalogo18.gif (Missing: Alt) |
| PAGE: HERE
http://www.transhumanism.com/homepages.htm CHILD LINKS: |
1. http://www.transhumanism.com/wtalogo24.gif (Missing: Alt) |
2. http://www.transhumanism.com/wtalogo18.gif (Missing: Alt) |
| PAGE: Transhumanist Acronyms
http://www.transhumanism.com/lexicon/acronyms.html CHILD LINKS: |
1. http://www.transhumanism.com/newwtalogo6.gif (Missing: Alt) |
| PAGE: Mailing lists
http://www.transhumanism.com/lists.htm CHILD LINKS: |
1. http://www.transhumanism.com/wtalogo18.gif (Missing: Alt) |
| PAGE: Profiles of WTA people
http://www.transhumanism.com/people.htm CHILD LINKS: |
1. http://www.transhumanism.com/wtalogo24.gif (Missing: Alt) |
2. http://www.transhumanism.com/undercon.gif (Missing: Alt) |
3. http://www.transhumanism.com/wtalogo18.gif (Missing: Alt) |
| PAGE: Recommended reading
http://www.transhumanism.com/reading.htm CHILD LINKS: |
1. http://www.transhumanism.com/wtalogo24.gif (Missing: Alt) |
2. http://www.transhumanism.com/wtalogo18.gif (Missing: Alt) |
| PAGE: Site of the week
http://www.transhumanism.com/siteweek.htm CHILD LINKS: |
1. http://www.transhumanism.com/wtalogo24.gif (Missing: Alt) |
2. http://www.transhumanism.com/undercon.gif (Missing: Alt) |
3. http://www.transhumanism.com/wtalogo18.gif (Missing: Alt) |
| PAGE: translations
http://www.transhumanism.com/translations/international.htm CHILD LINKS: |
1. http://www.transhumanism.com/wtalogo24.gif (Missing: Alt) |
2. http://www.transhumanism.com/wtalogo18.gif (Missing: Alt) |
| PAGE: Singularidad Tecnológica
http://www.transhumanism.com/translations/portbraz/singularidad.htm CHILD LINKS: |
1. http://www.transhumanism.com/translations/portbraz/gleam.JPG (Missing: Alt) |
2. http://www.transhumanism.com/translations/portbraz/Singularity.gif (Missing: Alt) |
3. http://www.transhumanism.com/translations/portbraz/mailto.gif (Missing: Alt) |
| PAGE: Cloning
http://www.transhumanism.com/translations/russian/cloning.htm CHILD LINKS: |
1. http://www.transhumanism.com/translations/russian/blueline.gif (Missing: Alt) |
2. http://www.transhumanism.com/translations/russian/meander.gif (Missing: Alt) |
3. http://www.transhumanism.com/translations/russian/clint1.jpg (Missing: Alt) |
4. http://www.transhumanism.com/translations/russian/clarke.jpg (Missing: Alt) |
5. http://www.transhumanism.com/translations/russian/loren.jpg (Missing: Alt) |
6. http://www.transhumanism.com/translations/russian/newton.jpg (Missing: Alt) |
7. http://www.transhumanism.com/translations/russian/evaperon.jpg (Missing: Alt) |
8. http://www.transhumanism.com/translations/russian/afrank2.gif (Missing: Alt) |
9. http://www.transhumanism.com/translations/russian/ramses.jpg (Missing: Alt) |
10. http://www.transhumanism.com/translations/russian/davinci.jpg (Missing: Alt) |
11. http://www.i-connect.ru/cgi-bin/counter.cgi?df=mikeai.dat|dd=A|ft=0 (Missing: Height/Width) |
| PAGE: Que es el Transhumanismo?
http://www.transhumanism.com/translations/spanish/trans.htm CHILD LINKS: |
1. http://www.transhumanism.com/translations/spanish/spin-new.gif (Missing: Alt) |
2. http://www.transhumanism.com/translations/spanish/hst_lagoon.jpg (Missing: Alt) |
3. http://www.transhumanism.com/translations/spanish/r_oct.gif (Missing: Alt) |
4. http://www.transhumanism.com/translations/spanish/mailto.gif (Missing: Alt) |
| PAGE: WTA Update 1, 29 May 1998
http://www.transhumanism.com/updates/update1.htm CHILD LINKS: |
1. http://www.transhumanism.com/newwtalogo6.gif (Missing: Alt) |
| PAGE: WTA Update 2, 10 October 1998
http://www.transhumanism.com/updates/update2.htm CHILD LINKS: |
1. http://www.transhumanism.com/newwtalogo6.gif (Missing: Alt) |
| PAGE: WTA Update 3, 20 February 1999
http://www.transhumanism.com/updates/update3.htm CHILD LINKS: |
1. http://www.transhumanism.com/newwtalogo6.gif (Missing: Alt) |
| PAGE: WTA Update 4, 1 July 1999
http://www.transhumanism.com/updates/update4.htm CHILD LINKS: |
1. http://www.transhumanism.com/newwtalogo6.gif (Missing: Alt) |
| PAGE: WTA Updates
http://www.transhumanism.com/updates/updates.htm CHILD LINKS: |
1. http://www.transhumanism.com/newwtalogo6.gif (Missing: Alt) |
| PAGES MISSING ATTRIBUTES CREATED BY: Anders Sandberg |
| PAGE: Glossary
http://www.transhumanism.com/lexicon/ CHILD LINKS: |
1. http://www.transhumanism.com/newwtalogo6.gif (Missing: Alt) |
| PAGES MISSING ATTRIBUTES CREATED BY: metaclutter |
| PAGE: hedweb.htm
http://www.transhumanism.com/translations/portbraz/hedweb.htm CHILD LINKS: |
1. http://www.transhumanism.com/../My%20HedWeb%20web%20site/wtalogo18.gif (Missing: Alt) |
| PAGE: thdec.htm
http://www.transhumanism.com/translations/portbraz/thdec.htm CHILD LINKS: |
1. http://www.transhumanism.com/../My%20HedWeb%20web%20site/wtalogo18.gif (Missing: Alt) |
REPORT CREATED BY |


Jennifer Nettles wears 'Equal Play' frock on the CMA red carpet
14 Nov 2019, 01:50 by Karen Butler
Left to right, Reba McEntire, Carrie Underwood and Dolly Parton perform. Photo by John Angelillo/UPI | License Photo
Blake Shelton accepts the award for Single of the Year for the song "God's Country." Photo by John Angelillo/UPI | License Photo
McEntire. Photo by John Angelillo/UPI | License Photo
Old Dominion accepts the award for Vocal Group of the Year. Photo by John Angelillo/UPI | License Photo
Shay Mooney and Dan Smyers of Dan + Shay accept the award for Vocal Duo of the Year. Photo by John Angelillo/UPI | License Photo
Pink and Chris Stapleton. Photo by John Angelillo/UPI | License Photo
Miranda Lambert performs. Photo by John Angelillo/UPI | License Photo
Jennifer Nettles and Kristin Chenoweth speak onstage. Photo by John Angelillo/UPI | License Photo
Charles Kelley and Hillary Scott of Lady Antebellum and Halsey perform. Photo by John Angelillo/UPI | License Photo
Underwood performs. Photo by John Angelillo/UPI | License Photo
Luke Combs performs. Photo by John Angelillo/UPI | License Photo
Shelton performs. Photo by John Angelillo/UPI | License Photo
Old Dominion performs. Photo by John Angelillo/UPI | License Photo
Country music stars gather onstage to perform. Photo by John Angelillo/UPI | License Photo
Left to right, Underwood, Parton and McEntire are the hosts of the CMAs. Photo by John Angelillo/UPI | License Photo
Jennifer Nettles. Photo by John Angelillo/UPI | License Photo
Keith Urban (R) and his wife, Nicole Kidman. Photo by John Angelillo/UPI | License Photo
Dolly Parton (L) and Zach Williams. Photo by John Angelillo/UPI | License Photo
Martina McBride. Photo by John Angelillo/UPI | License Photo
Happily Grey. Photo by John Angelillo/UPI | License Photo
The Stereotypes. Photo by John Angelillo/UPI | License Photo
Joe Diffie (L) and his wife, Tara. Photo by John Angelillo/UPI | License Photo
Pam Tillis. Photo by John Angelillo/UPI | License Photo
Madison Marlow (L) and Taylor Dye of the group Maddie and Tae. Photo by John Angelillo/UPI | License Photo
Nettles wears a dress reading "Equal Play." Photo by John Angelillo/UPI | License Photo
Joel and Luke Smallbone of King and Country. Photo by John Angelillo/UPI | License Photo
Chase Rice. Photo by John Angelillo/UPI | License Photo
The Highwomen. Photo by John Angelillo/UPI | License Photo
Scotty McCreery. Photo by John Angelillo/UPI | License Photo
Janie Fricke. Photo by John Angelillo/UPI | License Photo
Mickey Guyton. Photo by John Angelillo/UPI | License Photo
A Thousand Horses. Photo by John Angelillo/UPI | License Photo
Justin Moore. Photo by John Angelillo/UPI | License Photo
Danielle Bradbery. Photo by John Angelillo/UPI | License Photo
Riley Green. Photo by John Angelillo/UPI | License Photo
Buddy Quaid (L) and Tanya Tucker. Photo by John Angelillo/UPI | License Photo
Hannah Brown. Photo by John Angelillo/UPI | License Photo
Ingrid Andress. Photo by John Angelillo/UPI | License Photo
Gone West. Photo by John Angelillo/UPI | License Photo
Home Free. Photo by John Angelillo/UPI | License Photo
Maren Morris (L) and Ryan Hurd. Photo by John Angelillo/UPI | License Photo
Carrie Underwood. Photo by John Angelillo/UPI | License Photo
Parton. Photo by John Angelillo/UPI | License Photo
McEntire. Photo by John Angelillo/UPI | License Photo
The Highwomen pose with spouses and children. Photo by John Angelillo/UPI | License Photo
Kidman. Photo by John Angelillo/UPI | License Photo
Jennifer Nettles shows off her dress as she arrives for the 52nd Annual Country Music Association Awards at Bridgestone Arena in Nashville, Tenn., Wednesday. Photo by John Angelillo/UPI | License Photo
Jennifer Nettles wears a dress reading "Equal Play" as she arrives for the 52nd Annual Country Music Association Awards. Photo by John Angelillo/UPI | License Photo
Jennifer Nettles wears a dress reading "Equal Play." Photo by John Angelillo/UPI | License Photo
Nov. 13 (UPI) -- Sugarland front woman Jennifer Nettles made headlines Wednesday by wearing a white pantsuit with a pink cape emblazoned with a bold message at the Country Music Association Awards gala in Nashville.
One side of the frock bore the words: "Play our [explicit] records. Please & thank you."
The other side depicted a hand-drawn woman's face and said, "Equal Play."
People.com said the garment was designed by Christian Siriano and featured art by Alice Mizrachi.
The theme of this year's CMA Awards ceremony is female empowerment.
Carrie Underwood , Dolly Parton and Reba McEntire are hosting the ABC broadcast.
About a dozen female artists -- including Nettles -- joined them on stage to open the show and sing a medley of country hits.
Moments from the 2019 CMAs
Read More


{% include "includes/_navbar.html" %} {% include "includes/_messages.html" %} {% block body %} {% endblock %}


- Match pairs of cards
- Different levels of difficulty
- Colorful images of logos to be easily remembered
- Games for children
created by ECecillo
- Children Game.
- For 10s, you will see some sheeps entering and leaving a farm which was empty before begining.
- Count the number of sheeps at the end.
- At each levels the pace is accelerating.
created by SimKlo69
- For everyone.
- Find the right combination of sound and color.
- There are four levels of difficulties, one of them is an auto mode.
- A goal ? Try to go as far as possible !
created by DjAlexdu68
- For everyone.
- Remember the location of every boxes and click on there latest location.
- The number of boxes increase at each levels.
created by Lancilot
- For everyone.
- Place different numbers.
- A number need to appear only once per column, only once per row, and only once per square of
nine.


{% extends "base.html" %} {% load i18n %} {% block title %}{% trans "Error 404" %}{% endblock %} {% block body_class %}{{ block.super }} http not-found{% endblock %} {% block header %}
{% trans "We are sorry, but the page you were trying to display does not exist." %}
{% endblock %}


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If thats a mouth-full, think of HTML as your basic building blocks. This programming language allows you to position your content appropiately, create basic tables, navigation tabs, text areas and formatting. With HTML, you'll be able to begin to organize and style your page.
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Relaxing
If you do need to take a well-deserved break, we’re more than happy to provide the ideal locale at Resorts and Apartments for you to unwind with family or friends during the vacation or that special weekend with special acrtivities at the beach.
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ntptime - read and set kernel time variables
from Pogo, Walt Kelly
The turtle has been swimming in the kernel.
Last update:
04-Sep-2010 14:46
UTC
Synopsis
ntptime [ -chr ] [ -e est_error ] [ -f frequency ] [ -m max_error ] [ -o offset ] [ -s status ] [ -t time_constant]
Description
This program is useful only with special kernels described in the A Kernel Model for Precision Timekeeping page. It reads and displays time-related kernel variables using the ntp_gettime() system call. A similar display can be obtained using the ntpdc program and kerninfo command.
Options
- -c
- Display the execution time of ntptime itself.
- -e est_error
- Specify estimated error, in microseconds.
- -f frequency
- Specify frequency offset, in parts per million.
- -h
- Display help information.
- -m max_error
- Specify max possible errors, in microseconds.
- -o offset
- Specify clock offset, in microseconds.
- -r
- Display Unix and NTP times in raw format.
- -s status
- Specify clock status. Better know what you are doing.
- -t time_constant
- Specify time constant, an integer in the range 0-10.


| Opcode/Instruction | Op /En | 64/32 bit Mode Support | CPUID Feature Flag | Description |
|---|---|---|---|---|
|
VEX.DDS.LIG.66.0F38.W1 9B /r VFMSUB132SD xmm1, xmm2, xmm3/m64 |
RVM | V/V | FMA | Multiply scalar double-precision floating-point value from xmm1 and xmm3/m64, subtract xmm2 and put result in xmm1. |
|
VEX.DDS.LIG.66.0F38.W1 AB /r VFMSUB213SD xmm1, xmm2, xmm3/m64 |
RVM | V/V | FMA | Multiply scalar double-precision floating-point value from xmm1 and xmm2, subtract xmm3/m64 and put result in xmm1. |
|
VEX.DDS.LIG.66.0F38.W1 BB /r VFMSUB231SD xmm1, xmm2, xmm3/m64 |
RVM | V/V | FMA | Multiply scalar double-precision floating-point value from xmm2 and xmm3/m64, subtract xmm1 and put result in xmm1. |
|
EVEX.DDS.LIG.66.0F38.W1 9B /r VFMSUB132SD xmm1 {k1}{z}, xmm2, xmm3/m64{er} |
T1S | V/V | AVX512F | Multiply scalar double-precision floating-point value from xmm1 and xmm3/m64, subtract xmm2 and put result in xmm1. |
|
EVEX.DDS.LIG.66.0F38.W1 AB /r VFMSUB213SD xmm1 {k1}{z}, xmm2, xmm3/m64{er} |
T1S | V/V | AVX512F | Multiply scalar double-precision floating-point value from xmm1 and xmm2, subtract xmm3/m64 and put result in xmm1. |
|
EVEX.DDS.LIG.66.0F38.W1 BB /r VFMSUB231SD xmm1 {k1}{z}, xmm2, xmm3/m64{er} |
T1S | V/V | AVX512F | Multiply scalar double-precision floating-point value from xmm2 and xmm3/m64, subtract xmm1 and put result in xmm1. |
| Op/En | Operand 1 | Operand 2 | Operand 3 | Operand 4 |
| RVM | ModRM:reg (r, w) | VEX.vvvv (r) | ModRM:r/m (r) | NA |
| T1S | ModRM:reg (r, w) | EVEX.vvvv (r) | ModRM:r/m (r) | NA |
Description
Performs a SIMD multiply-subtract computation on the low packed double-precision floating-point values using three source operands and writes the multiply-subtract result in the destination operand. The destination operand is also the first source operand. The second operand must be a XMM register. The third source operand can be a XMM register or a 64-bit memory location.
VFMSUB132SD: Multiplies the low packed double-precision floating-point value from the first source operand to the low packed double-precision floating-point value in the third source operand. From the infinite precision inter-mediate result, subtracts the low packed double-precision floating-point values in the second source operand, performs rounding and stores the resulting packed double-precision floating-point value to the destination operand (first source operand).
VFMSUB213SD: Multiplies the low packed double-precision floating-point value from the second source operand to the low packed double-precision floating-point value in the first source operand. From the infinite precision inter-mediate result, subtracts the low packed double-precision floating-point value in the third source operand, performs rounding and stores the resulting packed double-precision floating-point value to the destination operand (first source operand).
VFMSUB231SD: Multiplies the low packed double-precision floating-point value from the second source to the low packed double-precision floating-point value in the third source operand. From the infinite precision intermediate result, subtracts the low packed double-precision floating-point value in the first source operand, performs
rounding and stores the resulting packed double-precision floating-point value to the destination operand (first source operand).
VEX.128 and EVEX encoded version: The destination operand (also first source operand) is encoded in reg_field. The second source operand is encoded in VEX.vvvv/EVEX.vvvv. The third source operand is encoded in rm_field. Bits 127:64 of the destination are unchanged. Bits MAXVL-1:128 of the destination register are zeroed.
EVEX encoded version: The low quadword element of the destination is updated according to the writemask.
Compiler tools may optionally support a complementary mnemonic for each instruction mnemonic listed in the opcode/instruction column of the summary table. The behavior of the complementary mnemonic in situations involving NANs are governed by the definition of the instruction mnemonic defined in the opcode/instruction column.
Operation
In the operations below, “*” and “-” symbols represent multiplication and subtraction with infinite precision inputs and outputs (no rounding).
VFMSUB132SD DEST, SRC2, SRC3 (EVEX encoded version)
IF (EVEX.b = 1) and SRC3 *is a register*
THEN
SET_RM(EVEX.RC);
ELSE
SET_RM(MXCSR.RM);
FI;
IF k1[0] or *no writemask*
THEN
DEST[63:0] (cid:197) RoundFPControl(DEST[63:0]*SRC3[63:0] - SRC2[63:0])
ELSE
IF *merging-masking*
; merging-masking
THEN *DEST[63:0] remains unchanged*
ELSE
; zeroing-masking
THEN DEST[63:0] (cid:197) 0
FI;
FI;
DEST[127:64] (cid:197) DEST[127:64]
DEST[MAX_VL-1:128] (cid:197) 0
VFMSUB213SD DEST, SRC2, SRC3 (EVEX encoded version)
IF (EVEX.b = 1) and SRC3 *is a register*
THEN
SET_RM(EVEX.RC);
ELSE
SET_RM(MXCSR.RM);
FI;
IF k1[0] or *no writemask*
THEN
DEST[63:0] (cid:197) RoundFPControl(SRC2[63:0]*DEST[63:0] - SRC3[63:0])
ELSE
IF *merging-masking*
; merging-masking
THEN *DEST[63:0] remains unchanged*
ELSE
; zeroing-masking
THEN DEST[63:0] (cid:197) 0
FI;
FI;
DEST[127:64] (cid:197) DEST[127:64]
DEST[MAX_VL-1:128] (cid:197) 0
VFMSUB231SD DEST, SRC2, SRC3 (EVEX encoded version)
IF (EVEX.b = 1) and SRC3 *is a register*
THEN
SET_RM(EVEX.RC);
ELSE
SET_RM(MXCSR.RM);
FI;
IF k1[0] or *no writemask*
THEN
DEST[63:0] (cid:197) RoundFPControl(SRC2[63:0]*SRC3[63:0] - DEST[63:0])
ELSE
IF *merging-masking*
; merging-masking
THEN *DEST[63:0] remains unchanged*
ELSE
; zeroing-masking
THEN DEST[63:0] (cid:197) 0
FI;
FI;
DEST[127:64] (cid:197) DEST[127:64]
DEST[MAX_VL-1:128] (cid:197) 0
VFMSUB132SD DEST, SRC2, SRC3 (VEX encoded version)
DEST[63:0] (cid:197)RoundFPControl_MXCSR(DEST[63:0]*SRC3[63:0] - SRC2[63:0])
DEST[127:64] (cid:197)DEST[127:64]
DEST[MAX_VL-1:128] (cid:197)0
VFMSUB213SD DEST, SRC2, SRC3 (VEX encoded version)
DEST[63:0] (cid:197)RoundFPControl_MXCSR(SRC2[63:0]*DEST[63:0] - SRC3[63:0])
DEST[127:64] (cid:197)DEST[127:64]
DEST[MAX_VL-1:128] (cid:197)0
VFMSUB231SD DEST, SRC2, SRC3 (VEX encoded version)
DEST[63:0] (cid:197)RoundFPControl_MXCSR(SRC2[63:0]*SRC3[63:0] - DEST[63:0])
DEST[127:64] (cid:197)DEST[127:64]
DEST[MAX_VL-1:128] (cid:197)0
Intel C/C++ Compiler Intrinsic Equivalent
VFMSUBxxxSD __m128d _mm_fmsub_round_sd(__m128d a, __m128d b, __m128d c, int r);
VFMSUBxxxSD __m128d _mm_mask_fmsub_sd(__m128d a, __mmask8 k, __m128d b, __m128d c);
VFMSUBxxxSD __m128d _mm_maskz_fmsub_sd(__mmask8 k, __m128d a, __m128d b, __m128d c);
VFMSUBxxxSD __m128d _mm_mask3_fmsub_sd(__m128d a, __m128d b, __m128d c, __mmask8 k);
VFMSUBxxxSD __m128d _mm_mask_fmsub_round_sd(__m128d a, __mmask8 k, __m128d b, __m128d c, int r);
VFMSUBxxxSD __m128d _mm_maskz_fmsub_round_sd(__mmask8 k, __m128d a, __m128d b, __m128d c, int r);
VFMSUBxxxSD __m128d _mm_mask3_fmsub_round_sd(__m128d a, __m128d b, __m128d c, __mmask8 k, int r);
VFMSUBxxxSD __m128d _mm_fmsub_sd (__m128d a, __m128d b, __m128d c);
SIMD Floating-Point Exceptions
Overflow, Underflow, Invalid, Precision, Denormal
Other Exceptions
| VEX-encoded instructions, see Exceptions Type 3. |
| EVEX-encoded instructions, see Exceptions Type E3. |


| Field | Value |
|---|---|
| ID | {{ customer.ID }} |
| User Type | {{ customer.accountType }} |
| First Name | {{ customer.firstName }} |
| Last Name | {{ customer.lastName }} |
| {{ customer.email }} | |
| Mobile | {{ customer.mobile }} |
| Birth Date | {{ customer.dateOfBirth }} |
| Plan | {{ currentPlan.englishName }} |
| Plan | NOT SUBSCRIBED YET |
| Subscription Expiry | {{ customer.Subscription.expireDate | date: "dd-MM-yyyy" }} |
| Active | |
| Deactivated |
Warning: Changing the customer's plan increases the customer's points. This action can't be undone.


Play Pause Log time Log duration
Seek
Start time:
Duration:
Add event
Clear
var intermezzo = new Intermezzo()
var eventId = intermezzo.addEvent(time, duration, callback)
intermezzo.play()
intermezzo.pause()
intermezzo.seek(time)


Collaboratively administrate turnkey channels whereas virtual e-tailers. Objectively seize scalable metrics whereas proactive e-services. Seamlessly empower fully researched growth strategies and interoperable internal or "organic" sources.
Credibly innovate granular internal or "organic" sources whereas high standards in web-readiness. Energistically scale future-proof core competencies vis-a-vis impactful experiences. Dramatically synthesize integrated schemas with optimal networks.
Objectively innovate empowered manufactured products whereas parallel platforms. Holisticly predominate extensible testing procedures for reliable supply chains. Dramatically engage top-line web services vis-a-vis cutting-edge deliverables.
Proactively envisioned multimedia based expertise and cross-media growth strategies. Seamlessly visualize quality intellectual capital without superior collaboration and idea-sharing. Holistically pontificate installed base portals after maintainable products.
Efficiently unleash cross-media information without cross-media value. Quickly maximize timely deliverables for real-time schemas. Dramatically maintain clicks-and-mortar solutions without functional solutions.
Collaboratively administrate empowered markets via plug-and-play networks. Dynamically procrastinate B2C users after installed base benefits. Dramatically visualize customer directed convergence without revolutionary ROI.


Welcome to guessing game
Rules are simple - just guess my secret number from 1 to 10
{% if answer %}
Your answer is {{ answer }} - {{ emoji }}
{% if answer_ok %}
Well done my friend!
{% endif %} {% endif %} {% if not answer_ok %}
What is my secret number? :
{% endif %} {% if answer_ok %}
I actually like it, one more time!
{% endif %} {% if answer_ok %}
I like it so much that my friends wanna play it!
{% endif %}


Home
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Vincent Quach
Vincent Quach
Home
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Ways You Can Contact Me
Phone
(408) 219-5857
Email
vincentquach2003@yahoo.com


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flip-hue
red
blue
none
Exceptions:
(newline separated)


A short workshop script to create a small NativeScript app, followed by Kinvey Studio web & mobile app that integrates an OpenEdge based data source.
Sports Shop App – MVP Requirements
As a Sports Shop 2000 customer I want to
Windows or Mac required + Android Device or IPhone
Create Kinvey account (completely free): https://console.kinvey.com/sign-up
Download and install Kinvey Studio: https://studio.kinvey.com/
Download and install NativeScript Playground & Preview apps from Google Play https://play.google.com/store/apps/details?id=org.nativescript.playhttps://play.google.com/store/apps/details?id=org.nativescript.preview or Apple AppStore
Download and install Kinvey Scanner & Preview apps from Google Play https://play.google.com/store/apps/details?id=com.kinvey.scannerhttps://play.google.com/store/apps/details?id=com.kinvey.preview or Apple AppStore
Install nodejs 10 and “npm install -g nativescript”
Creating a NativeScript app that displays a list of items from a SmartComponent Library PASOE backend
Creating an app backend using the Kinvey Console
Learn more here: https://www.progress.com/blogs/how-to-get-started-with-kinvey-and-nativescript-fast
Build a web & mobile app based on Angular, NativeScript and Kinvey using the low code Kinvey Studio
Steps:
For reference: https://devcenter.kinvey.com/nativescript/guides/studio-getting-started
Connect to an OpenEdge data source
For learning how to set up JSDO capable OpenEdge Data Object Services, please follow these tutorials:
https://www.youtube.com/watch?v=Nk9wrmYUFPA
https://www.progress.com/services/education/openedge/creating-openedge-data-object-services
There are three options to integrate OpenEdge in Kinvey:
Connect to OE using RapidData for Progress:
https://devcenter.kinvey.com/rest/guides/rapid-data#ConnectorforProgressData
Connect to OE using a FlexData connector for JSDO:
https://devcenter.kinvey.com/rest/guides/flex-services#flex-data
The JSDO FlexData connector is available here:
https://github.com/steinerj/jsdo-kinvey-flex
Connect to OE using RapidData - DataDirect Odata via SQL
https://devcenter.kinvey.com/rest/guides/rapid-data#ConnectorforDataDirect
Offer a modern, conversational UI as part of your web & mobile app
Mobile:
{
"botId": "5b3a83534eeb2f4ee5d99da4",
"channelId": "9e48b0dc-8cdb-4e79-9ce0-6595e8ab2da3",
"channelToken": "1b45111f-d2f1-49ff-8531-4980ad1fcceb"
}
Web:
{"bot": {"id": "5b3a83534eeb2f4ee5d99da4"},"channel": {"id": "3a8c6cec-a978-4f4b-8b6b-090e741bc4d9","token": "234eac54-bd4b-4aba-9771-dd5d07c5062f"}}
Create your own bots using KinveyChat - There is an excellent tutorial available:
https://www.progress.com/kinvey/chat/chatbot-tutorial-intro
Learn more about Flex Services here:
https://www.progress.com/blogs/getting-started-with-kinvey-flexservices


Unlock the full potential of the Open Credit Network by applying to become a Trading Member.
Trading via mutual credit is FREE during our alpha release and, if your business meets the application criteria, you will be awarded an interest free line of credit allowing you to trade with other businesses straight away. Find out more and apply now.


platipy.imaging.tests package¶
Submodules¶
platipy.imaging.tests.pull_data module¶
-
platipy.imaging.tests.pull_data.
fetch_data
(collection, patient_ids=None, output_directory=None, save_nifti=True, save_dicom=False)¶ Fetches data from TCIA from the dataset specified
- Parameters
collection (str) – The TCIA collection to fetch from
patient_ids (list, optional) – The patient IDs to fetch. If not set all patients are fetched.
output_directory (str) – The directory in which to place fetched data
save_nifti (bool) – Whether or not to save the data as Nifti in the output directory
save_dicom (bool) – Whether or not to save the data as Dicom in the output directory
- Returns
The patients and directories where their data was fetched
- Return type
dict
-
platipy.imaging.tests.pull_data.
get_hn_data
(number_of_patients=3)¶ Gets some images and structures from the HN (Lung) dataset in TCIA.
- Keyword Arguments
{int} -- The number of patients to fetch (default (number_of_patients) – {3})
- Returns
dict – dictionary of patient ids as key and path to data as value
-
platipy.imaging.tests.pull_data.
get_lung_data
(number_of_patients=3)¶ Gets some images and structures from the Head-Neck-Radiomics-HN1 (HN) dataset in TCIA.
- Keyword Arguments
{int} -- The number of patients to fetch (default (number_of_patients) – {3})
- Returns
dict – dictionary of patient ids as key and path to data as value
-
platipy.imaging.tests.pull_data.
get_patients_in_collection
(collection)¶ Get a list of sorted patient IDs in a TCIA collection
- Parameters
collection (str) – TCIA collection
- Returns
List of sorted Patient IDs in the collection
- Return type
list
platipy.imaging.tests.test_bronchus module¶
-
platipy.imaging.tests.test_bronchus.
assert_bronchus_mask
(bronchus_mask)¶ Checks that the bronchus mask looks as expected for the tests in this file
-
platipy.imaging.tests.test_bronchus.
assert_lung_mask
(lung_mask)¶ Checks that the lung mask looks as expected for the tests in this file
-
platipy.imaging.tests.test_bronchus.
bronchus_data
()¶ Gets the data needed for the bronchus tests
- Returns
dict – Data for broncus test
-
platipy.imaging.tests.test_bronchus.
test_bronchus_segmentation
(bronchus_data)¶ Tests the bronchus segmentation algorithm
-
platipy.imaging.tests.test_bronchus.
test_bronchus_service
(bronchus_data)¶ An end-to-end test to check that the bronchus service is running as expected
-
platipy.imaging.tests.test_bronchus.
test_lung_segmentation
(bronchus_data)¶ Tests the lung segmentation used as an initial step of bronchus segmentation
platipy.imaging.tests.test_cardiac module¶
-
platipy.imaging.tests.test_cardiac.
cardiac_data
()¶ Gets the data needed for the cardiac tests
- Returns
dict – Data for cardiac test
-
platipy.imaging.tests.test_cardiac.
test_cardiac_service
(cardiac_data)¶ An end-to-end test to check that the cardiac service is running as expected


You are responsible for your own safety and wellbeing. The use of the Hall of Heroes app should never be relied upon in place of basic common sense. Please call 9-1-1 immediately, if you find yourself in an emergency situation.
Texas State University accepts no responsibility or liability whatsoever for the contents of any information uploaded by you onto the Hall of Heroes app. Users must continue to act reasonably and take all necessary precautions to keep themselves safe and prevent any harm occurring to themselves or others.
This is a research app, therefore, it will be collecting data on your usage habits and communications with others within the app. This data will be kept anonymous, secure, and the information will not be published in any way or be attached to your name or Texas State University records.
Texas State University excludes all liability for any direct, indirect or consequential loss or damage incurred in connection with the use, inability to use, or results of the use of the Hall of Heroes app, including personal injury or other harm.


Carnival of Souls * * * 1/2 (out of * * * * )
Directed by Herk Harvey. Cast: Candace Hilligoss, Frances Feist, Sidney Berger, Art Ellison, Herk Harvey. 1962 - 75 minutes Not Rated (equivalent of a PG or PG-13 for ghoulish images). Reviewed April 2, 1999
Made in 1962 on a shoestring budget of only $15,000, Herk Harvey's "Carnival of Souls" is not a perfect film by any stretch of the imagination, but when considering its low-budget and amateur actors, it turned out about as good as could possibly be expected. The film is like a nightmarish puzzle, one that you think you've figured out, but really haven't until the final twist arrives in the last scene.
The film begins abruptly, as a carload of young women are challenged to a drag-race by some guys. While passing over a narrow bridge, the women's car accidentally loses control and plunges into a deep river. Hours later, as the police have arrived and are attempting to find the car in its deep watery grave, one of the passengers of the ill-fated car, Mary Henry (Candace Hilligoss), miraculously appears climbing out of the river. Not remembering anything about the accident, and looked upon by everyone as a miracle, Mary immediately moves to a small town in Utah to play as the church organist. She rents out a room from a kind, elderly landlady (Frances Feist), meets and is somewhat charmed by the other resident of the home, John Linden (Sidney Berger), and attempts to begin putting the pieces of her life back together. Everything is not perfect, however, as Mary begins to frequently see a ghoulish, frightening phantom figure everywhere she goes, even though no one else claims to see anything. Is it simply a hallucination, sparked from the trauma of the car crash? Not only that, but Mary also begins to feel a sort of connection to an adjacent, closed-down, desolate amusement park.
At a decidedly too-brisk 75-minute running time, "Carnival of Souls" moves at a gradual, dream-like pace that makes it almost impossible not get caught up in the proceedings. And although only with a miniscule budget, since its release, the film has quickly become a cult classic for all horror afficionados. Even George Romero has mentioned, in fact, that he got his idea for 1968's "Night of the Living Dead" from "Carnival of Souls," and it is obvious that so did David Lynch when he made "Blue Velvet," "Twin Peaks," and "Lost Highway." That these filmmakers were influenced by such a "petty" movie from the early-'60s proves of the extraordinary power that the film ultimately holds, both in its storytelling techniques and glorious style.
Candace Hilligoss, an unknown who was cast in the lead role, contains just the right amounts of vulnerability and strong will to bring Mary to life as a sympathetic character. One of the major highlights of "Carnival of Souls" is the magnificently atmospheric, brooding black-and-white cinematography that paints the settings, including the unforgettable images of the somehow off-kilter amusement park, as major characters themselves. The sequences of Mary simply walking around the eerie park, which is out on the dock of a bay, are some of those rare moments in motion picture history that will forever be ingrained in my long-term memory.
The story goes that director Herk Harvey scratched the money together to make "Carnival of Souls," but never made another film again. That's really too bad, since he obviously was a major filmmaking talent and I would have loved to have seen a sophomore effort. Ultimately, Harvey died in 1996, but left, in his memory, his one and only film, a movie that affected, as well as inspired, many different people, thanks to its untarnished storyline and visual expertise.
Note: Viewing this motion picture right before its direct-to-video 1999 remake, I was appalled to see how much the '90s version trashed the memory of this classic. By complicating the story from its originally simple premise, the makers of the '99 edition simply made everything feel contrived, as well as frustrating and confusing. And, tellingly enough, the original "Carnival of Souls" is also infinitely more disturbing, even though it was made thirty-seven years ago. It's aged very well.
- Copyright 1999 by Dustin Putman Http://hometown.aol.com/FilmFan16/index.html
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Encoded Token
Decoded Header
Decoded Payload
Private Key
Public Key (PEM or JWKS)
Direct Key
Symmetric Key


Charts Summary
The jQuery Chart project is a plugin that adds simple HTML and CSS charts to your page based on tables.
You can add multiple charts to the page.
| Breed | Populatiry |
|---|---|
| Total | 250 |
| Mongrel | 90.5 |
| Labrador | 79.5 |
| Whippet | 50 |
| Spaniel | 20 |
| Terrier | 10 |
| Breed | Populatiry |
|---|---|
| Total | 250 |
| Mongrel | 90 |
| Labrador | 80 |
| Whippet | 50 |
| Spaniel | 20 |
| Terrier | 10 |
| Gender | Activity | Populatiry |
|---|---|---|
| Female | Shopping | 90 |
| Female | Television | 60 |
| Female | Cooking | 25 |
| Female | Fishing | 10 |
| Male | Shopping | 20 |
| Male | Television | 100 |
| Male | Cooking | 25 |
| Male | Fishing | 40 |
| Item | Change |
|---|---|
| End Figure | 250 |
| 3 Month Turnover | 320 |
| Operating Costs | -90 |
| Depreciation | -110 |
| Savings | 80 |
| End Figure | 200 |
Please read the charts documentation for instructions on how to use the plugin.
Options
- classmodifier
- Used to apply class names to the elements created by the plugin. You only need to specify a class modifier if you have a name-clash.
- charttype
- Currently, "bars" are supported (use direction to select horizontal or vertical bars).
- direction
- Whether the chart is horizontal or vertical.
- labelcolumn
- The index of the column containing the label text.
- valuecolumn
- The index of the column containing the value.
- groupcolumn
- The index of the column containing the group name (if required).
- duration
- Length of time in milliseconds for the chart animation.
- showoriginal
- Whether the original table should be displayed.
- chartbgcolours
- Bar colours to be used on the charts, for example ["#336699", "#669933", "#339966"].
- chartfgcolours
- Text colours to be used on the charts (to match the background colours), for example ["#FFFFFF", "#FFFFFF", "#FFFFFF"].
- chartpadding
- Padding applied to the chart elements.
- chartheight
- The display height of the chart.
- showlabels
- Whether to show the labels on each bar.
- showgrid
- Whether to show grid lines on the chart.
- gridlines
- The number of sections to divide the grid into.


MultiCalc
MultiCalc is an interactive scientific calculator with simple design, allowing everyone to use and enjoy it
Our goal is to help the user perform calculations easier and faster and therefore save him time and work
Interface
Code
Download for Mac
Download for Windows


26. Upgrade Guide¶
This section contains general information on version upgrades, as well as version-specific changes that may affect the end user.
26.1. Compatibility Across Versions¶
26.1.1. Semantic Versioning¶
Starting with 2.0.0, GeoMesa is adhering to semantic versioning. Essentially, releases are broken down into major, minor and patch versions. For a version number like 2.0.1, 2 is the major version, 2.0 is the minor version, and 2.0.1 is the patch version.
Major version updates contain breaking public API changes. Minor version updates contain new or updated functionality that is backwards-compatible. Patch versions contain only backwards-compatible bug fixes. This delineation allows users to gauge the potential impact of updating versions.
Warning
Versions prior to 2.0.0 do not follow semantic versioning, and each release should be considered a major version change.
26.1.2. Compatibility¶
Semantic versioning makes API guarantees, but GeoMesa has several compatibility vectors to consider:
<IP_ADDRESS>. Data Compatibility¶
Data compatibility refers to the ability to read and write data written with older versions of GeoMesa. GeoMesa fully supports data written with version 1.2.2 or later, and mostly supports data written with 1.1.0 or later.
Note that although later versions can read earlier data, the reverse is not necessarily true. Data written with a newer client may not be readable by an older client.
Data written with 1.2.1 or earlier can be migrated to a newer data format. See Upgrading Existing Indices for details (note that this functionality is currently only implemented for Accumulo).
<IP_ADDRESS>. API Compatibility¶
The GeoMesa public API is not currently well defined, so API compatibility is only guaranteed at the GeoTools DataStore level. In the future, GeoMesa will clearly indicate which classes and methods are part of the public API. Non-public classes may change without warning between minor versions.
<IP_ADDRESS>. Binary Compatibility¶
Binary compatibility refers to the ability to have different GeoMesa versions in a single environment. An environment may be a single process or span multiple servers (for example an ingest pipeline, a query client, and an analytics platform). For data stores with a distributed component (HBase and Accumulo), the environment includes both the client and the distributed code.
GeoMesa requires that all JARs in an environment are the same minor version, and that all JARs within a single JVM are the same patch version.
<IP_ADDRESS>. Dependency Compatibility¶
Dependency compatibility refers to the ability to update GeoMesa without updating other components (e.g. Accumulo, HBase, Hadoop, Spark, GeoServer, etc). Generally, GeoMesa supports a range of dependency versions (e.g. Accumulo 1.6 to 1.9). Spark versions are more tightly coupled, due to the use of private Spark APIs.
<IP_ADDRESS>. Pre-Release Code¶
GeoMesa sometimes provides modules in an alpha or beta state. Although they share the overall GeoMesa version number, such modules should be considered pre-1.0, and are not guaranteed to provide any forwards or backwards compatibility across versions. Pre-release modules will be clearly marked in the documentation.
26.1.3. Compatibility Matrix¶
| Major | Minor | Patch | |
|---|---|---|---|
| Data | Y | Y | Y |
| API | N | Y | Y |
| Binary | N | N | Y |
| Dependencies | N | N | Y |
26.2. Version 2.1.0 Upgrade Guide¶
26.2.1. Converter Updates¶
The GeoMesa converter API has been updated and simplified. The old API has been deprecated, and while custom
converters written against it should still work, users are encouraged to migrate to
org.locationtech.geomesa.convert2.SimpleFeatureConverter
. A compatibility bridge is provided so that
all converters registered with either the new or old API will be available to both.
Converter definitions should continue to work the same, but some invalid definitions may start to fail due to stricter configuration parsing.
<IP_ADDRESS>. XML Converter Namespaces¶
XML parsing is now namespace-aware. This shouldn’t affect most operations, but any custom converter functions that operate on the XML element objects may need to take this into account (for example, custom XPath querying).
26.2.2. Distributed Runtime Version Checks¶
To prevent unexpected bugs due to JAR version mismatches, GeoMesa can scan the distributed classpath to
verify compatible versions on the distributed classpath. This behavior may be enabled by setting the system
property geomesa.distributed.version.check=true
.
26.2.3. Shapefile Ingestion¶
Shapefile ingestion through the GeoMesa command-line tools has changed to use a converter definition. This allows
for on-the-fly modifications to the shapefile during ingestion, however the command now requires user confirmation.
The previous behavior can be simulated by passing --force
to the ingest command.
26.2.4. Delimited Text Auto-Ingestion¶
GeoMesa previously supported auto ingest of specially formatted delimited CSV and TSV files. This functionality
has been replaced with standard ingest type inference, which works similarly but may create different results.
Generally, the previous behavior can be replicated by using type inference to create a converter definition,
then modifying the converter to set the feature ID to the first column ($1
).
26.2.5. FileSystem Storage API Changes¶
The FileSystem Storage API is still considered beta-level software, and has been updated in this release. The DataStore API has not changed, however the internal class interfaces have changed in this release, potentially requiring changes in user code.
In addition, the format used to store metadata files has been updated, so older versions of GeoMesa will not be able to read metadata created with this version. When accessing older metadata for the first time, GeoMesa will update the files to the new format, potentially breaking any old clients still being used.
Finally, the update-metadata
tools command has been replaced with manage-metadata
.
26.2.6. Spark Version Update¶
GeoMesa now builds against Spark 2.3.1, and supports versions 2.2.x and 2.3.x.
26.2.7. Arrow Version Update¶
The version of Apache Arrow used for Arrow-encoded results has been updated from 0.6.0 to 0.10.0. Due to changes in the Arrow inter-process communication (IPC) format, clients may need to update to the same Arrow version.
26.2.8. Scalatra Version Update¶
The version of scalatra used for web servlets has been updated to 2.6.3. The new version requires json4s 3.5.4, which may require changes to the web server used to deploy the servlets.
26.3. Version 2.0.0 Upgrade Guide¶
26.3.1. GeoTools 18 and GeoServer 2.12¶
GeoMesa 2.0.0 is compiled against GeoTools 18.0 and GeoServer 2.12. When upgrading GeoServer instances,
it’s usually best to start over with a new GeoServer data directory. If you upgrade GeoMesa in an existing
GeoServer instance that has run GeoMesa 1.3.x or earlier, layers will still work but you will not be
able to edit any existing GeoMesa stores. In order to edit stores, you will need to delete them and
re-create them through the GeoServer UI. Alternatively, you may edit the GeoServer datastore.xml
files
(located in the GeoServer data directory) to match the new GeoMesa data store parameters (described below).
In particular, you will need to add a namespace
parameter that matches the workspace of the GeoServer store.
26.3.2. Data Store Parameters¶
The data store parameters used in calls to DataStoreFinder
and the Spark SpatialRDDProvider
have
been standardized . New parameters are outlined in the individual data store pages:
The older parameter names will continue to work, but are deprecated and may be removed in future versions.
26.3.3. Removal of Joda Time¶
With the introduction of java.time
in Java 8, the Joda Time project has been deprecated. As such, GeoMesa
has removed its Joda dependency in favor of java.time
. One consequence of this is that custom date patterns
in geomesa-convert
are interpreted slightly differently. See DateTimeFormatter for details.
Warning
In particular, “year of era” has changed from Y
to y
. Y
now means “week-based year”, and will
give different results.
26.3.4. Saxon XML Parser¶
The GeoMesa converter XML module now ships with Saxon-HE by default. Saxon-HE is generally much faster at parsing XML than the default Java implementation. Previously, Saxon was available as an additional download.
Warning
Saxon parsing has some differences from the default Java implementation, which may cause existing converter definitions to fail. In particular, Saxon is much stricter with XML namespaces. See Handling Namespaces with Saxon for more information.
26.3.5. Kafka Data Store¶
The Kafka Data Store has been rewritten into a single implementation for Kafka 0.9.x or later. Support for Kafka 0.8 has been removed. See Kafka Data Store for more information.
26.3.6. Accumulo Standardization¶
In order to standardize behavior between data store implementations, some behaviors of the AccumuloDataStore
have been modified.
<IP_ADDRESS>. Attribute Index Coverage¶
Accumulo attribute indices specified with index=true
will now create full attribute indices, instead of
join indices. To create a join index, explicitly specify index=join
. Existing schemas are not affected.
<IP_ADDRESS>. Record Index Identifier¶
The Accumulo record
index has been renamed to the id
index. In general practice, this will have no effect,
however when specifying geomesa.indices.enabled
, the value id
must be used in place of records
.
<IP_ADDRESS>. Tools Command Name¶
The Accumulo command line tools script has been renamed from geomesa
to geomesa-accumulo
.
26.3.7. Table Splitters¶
The table splitting API has changed. Any custom table splitters implementing
org.locationtech.geomesa.index.conf.TableSplitter
will need to be updated for the new method signatures.
In addition, the provided GeoMesa splitters have been deprecated and replaced. See Configuring Index Splits
for more details.
26.3.8. System Properties¶
Time-related system properties have been standardized to all use readable durations. Durations can be specified
as a number followed by a time unit, e.g. 10 minutes
or 30 seconds
. The following properties
have been changed to accept durations, and some have been renamed. Note that this will affect system properties
set in the JVM as well as any custom geomesa-site.xml
files. More details can be found under
Runtime Configuration or the appropriate data store configuration section.
| Property | Previous name |
|---|---|
| geomesa.query.timeout | geomesa.query.timeout.millis |
| geomesa.metadata.expiry | N/A |
| geomesa.batchwriter.latency | geomesa.batchwriter.latency.millis |
| geomesa.batchwriter.latency | geomesa.batchwriter.latency.millis |
| geomesa.stats.compact.interval | geomesa.stats.compact.millis |
| geomesa.cassandra.read.timeout | geomesa.cassandra.read.timeout.millis |
| geomesa.cassandra.connection.timeout | geomesa.cassandra.connection.timeout.millis |


What to do? So many choices! Figure out what to do! Take the quiz alone or with a friend!
Please enter your zip code:
OR let us find your location by clicking this button:
Opinions? Questions? Send us an email.
rogerecoffey@gmail.com


Ultrasonic Control Page
Status:
Alarms:
Proximity Led:
OFF
Set distance:
Send set distance
Read distance:
Details
This project is final project by "Yair Cohen.
ltd
"


Uses of Class
ElectricCar
| Package | Description |
|---|---|
| OneNightCar.Car | |
| OneNightCar.ParkingArea | |
| OneNightCar.Person | |
| OneNightCar.Rental |
-
Uses of ElectricCar in OneNightCar.Car
Fields in OneNightCar.Car with type parameters of type ElectricCar Modifier and Type Field Description java.util.ArrayList<ElectricCar>
CarManagementSystem. electricCarsList
Methods in OneNightCar.Car with parameters of type ElectricCar Modifier and Type Method Description void
CarManagementSystem. addCarIntoElectrics(ElectricCar electricCar)
Method to Add an electric OneNightCar.Car to the ArrayListvoid
CarManagementSystem. deleteCarFromElectric(ElectricCar electricCar)
Method to Delete a electric OneNightCar.Car from the Array Listint
CarManagementSystem. getCarIDFromElectric(ElectricCar electricCar)
gets the Index(id) of the electricCar list -
Uses of ElectricCar in OneNightCar.ParkingArea
Fields in OneNightCar.ParkingArea with type parameters of type ElectricCar Modifier and Type Field Description protected java.util.ArrayList<ElectricCar>
ElectricParkingArea. availableElectricCars
protected java.util.ArrayList<ElectricCar>
ElectricParkingArea. electricCarsInStation
protected java.util.ArrayList<ElectricCar>
ElectricParkingArea. notAvailableElectricCars
Methods in OneNightCar.ParkingArea with parameters of type ElectricCar Modifier and Type Method Description void
ElectricParkingArea. assignElectricCarToStation(ElectricCar electricCar)
adds an electric car to the stationint
ElectricParkingArea. getElectricCarID(ElectricCar electricCar)
gets the Index(id) of an electric car in the stationvoid
ElectricParkingArea. removeElectricCarFromStation(ElectricCar electricCar)
removes an electric car from the station -
Uses of ElectricCar in OneNightCar.Person
Methods in OneNightCar.Person with parameters of type ElectricCar Modifier and Type Method Description void
Customer. customerDamagesAnElectricCar(ElectricCar electricCar)
Simulates the Situation in which a customer damages an Electric OneNightCar.Carvoid
Employee. employeeRepairsElectricCar(ElectricCar electricCar)
Employee tries to repair a car.int
Customer. getElectricCarIndexInElectricRentalList(ElectricCar electricCar)
Function: retrieve the current index from an electric car in the Electric OneNightCar.Rental list (Needed to Delete or Modify Rentals)void
Customer. modifyAnElectricRental(ElectricRental electricRental, ElectricCar electricCar, CarManagementSystem carManagementSystem, java.time.LocalDate date, int yearDeparture, int monthDeparture, int dayDeparture, int yearArrival, int monthArrival, int dayArrival, RentalManager rentalManager)
Ask permission to Admin to Modify an existing Electrical OneNightCar.Rental made by this Customervoid
Customer. rentAnElectricCar(ElectricCar electricCar, CarManagementSystem carManagementSystem, java.time.LocalDate date, int yearDeparture, int monthDeparture, int dayDeparture, int yearArrival, int monthArrival, int dayArrival, RentalManager rentalManager)
Creates a new Electric OneNightCar.Rental of a Vehicle and this Customer -
Uses of ElectricCar in OneNightCar.Rental
Fields in OneNightCar.Rental declared as ElectricCar Modifier and Type Field Description private ElectricCar
ElectricRental. electricCar
Methods in OneNightCar.Rental that return ElectricCar Modifier and Type Method Description ElectricCar
ElectricRental. getElectricCar()
Methods in OneNightCar.Rental with parameters of type ElectricCar Modifier and Type Method Description private float
ElectricRental. calculateRentalPriceForElectric(ElectricCar ElectricCar)
void
ElectricRental. setChargePercentAfter(ElectricCar ElectricCar)
Sets the charge of the electric car after the rentalConstructors in OneNightCar.Rental with parameters of type ElectricCar Constructor Description ElectricRental(ElectricCar electricCar, CarManagementSystem carManagementSystem, int customerID, java.time.LocalDate date, int yearDeparture, int monthDeparture, int dayDeparture, int yearArrival, int monthArrival, int dayArrival, RentalManager rentalManager)
Creates a OneNightCar.Rental entry for a rental of an electric OneNightCar.CarElectricRental(RentalManager rentalManager, CarManagementSystem carManagementSystem, int customerID, ElectricCar electricCar)
A constructor that uses default values


February 9, 2016
If you're unable to get tickets to our first show in late April, but are still interested we will be opening the entire set and interactive exhibits to the public the following week -- May 2 - 6, 2016. During this time the exhibit will be open to the public to stop by and see everything without the theatrics going on. Join our mailing list to keep up on open hours
January 26, 2016
Our project (full proposal) was one of winners of John S. and James L. Knight Foundation's Knight News Challenge. Our project's goal is to give people a chance to examine the possibilities and ethics of our society's future with technology. We use theatre and interactive art to bring people into a world where their data has been integrated into our production to shed light on how our own data can be used for research and commercial products. Through this engaging and personal approach, we want to start and continue conversations about data ethics and social issues.
Knight Foundation is the leading funder of journalism and media innovation in the nation. It’s seeking the next generation of innovations that will inform and engage communities.
January 11, 2016
We will be running our first production in the ATLAS Institute's Blackbox Theater in Boulder, CO from April 28 - May 1. Ticket reservations will begin the first week of March.
November 15, 2015
We have been awarded both a major and mini award through CU-Boulder's Engineering Excellence Fund. The fund is a product of student fees and thus is controlled by students to offer funding to projects they think are innovative and have potential to impact students in our university.


Boke and Tsukkomi
Time Limit: 3000/3000 MS (Java/Others) Memory Limit: 102400/102400 K (Java/Others)
Total Submission(s): 152 Accepted Submission(s): 51
Problem Description
A new season of Touhou M-1 Grand Prix is approaching. Girls in Gensokyo cannot wait for participating it. Before the registration, they have to decide which combination they are going to compete as. Every girl in Gensokyo is both a boke (funny girl) and a tsukkomi
(straight girl). Every candidate combination is made up of two girls, a boke and a tsukkomi. A girl may belong to zero or more candidate combinations, but one can only register as a member of one formal combination. The host of Touhou M-1 Grand Prix hopes
that as many formal combinations as possible can participate in this year. Under these constraints, some candidate combinations are actually redundant as it\’s impossible to register it as a formal one as long as the number of formal combinations has to be
maximized. So they want to figure out these redundant combinations and stop considering about them.
(straight girl). Every candidate combination is made up of two girls, a boke and a tsukkomi. A girl may belong to zero or more candidate combinations, but one can only register as a member of one formal combination. The host of Touhou M-1 Grand Prix hopes
that as many formal combinations as possible can participate in this year. Under these constraints, some candidate combinations are actually redundant as it\’s impossible to register it as a formal one as long as the number of formal combinations has to be
maximized. So they want to figure out these redundant combinations and stop considering about them.
Input
There are multiple test cases. Process to the End of File.
The first line of each test case contains two integers: 1 ≤ N ≤ 40 and 1 ≤ M ≤ 123, where N is the number of girls in Gensokyo, and M is the number of candidate combinations. The following M lines are M candidate combinations, one by each line.
Each combination is represented by two integers, the index of the boke girl 1 ≤ Bi ≤ N and the index of the tsukkomi girl 1 ≤ Ti ≤ N, where Bi != Ti.
The first line of each test case contains two integers: 1 ≤ N ≤ 40 and 1 ≤ M ≤ 123, where N is the number of girls in Gensokyo, and M is the number of candidate combinations. The following M lines are M candidate combinations, one by each line.
Each combination is represented by two integers, the index of the boke girl 1 ≤ Bi ≤ N and the index of the tsukkomi girl 1 ≤ Ti ≤ N, where Bi != Ti.
Output
For each test case, output the number of redundant combinations in the first line. Then output the space-separated indexes of the redundant combinations in ascending order in the second line.
Sample Input
4 4 1 3 2 3 2 4 3 1 6 6 1 2 3 2 3 4 5 2 5 4 5 6
Sample Output
1 2 3 2 4 5思路：一般图匹配，用带花树匹配算法。AC代码：#include <iostream> #include <cstdio> #include <cstring> #include <string> #include <algorithm> #include <queue> #include <vector> #include <cmath> #include <map> #include <cstdlib> #define L(rt) (rt<<1) #define R(rt) (rt<<1|1) #define ll long long using namespace std; const int MAXN=50; deque<int> Q; //g[i][j]存放关系图：i,j是否有边,match[i]存放i所匹配的点 bool g[MAXN][MAXN],inque[MAXN],inblossom[MAXN],vis[150]; int match[MAXN],pre[MAXN],base[MAXN]; int n,m,mmg; vector<int>res; struct node { int u,v; }com[150]; //找公共祖先 int findancestor(int u,int v){ bool inpath[MAXN]={false}; while(1){ u=base[u]; inpath[u]=true; if(match[u]==-1)break; u=pre[match[u]]; } while(1){ v=base[v]; if(inpath[v])return v; v=pre[match[v]]; } } //压缩花 void reset(int u,int anc){ while(u!=anc){ int v=match[u]; inblossom[base[u]]=1; inblossom[base[v]]=1; v=pre[v]; if(base[v]!=anc)pre[v]=match[u]; u=v; } } void contract(int u,int v,int n){ int anc=findancestor(u,v); memset(inblossom,0,sizeof(inblossom)); reset(u,anc);reset(v,anc); if(base[u]!=anc)pre[u]=v; if(base[v]!=anc)pre[v]=u; for(int i=1;i<=n;i++) if(inblossom[base[i]]){ base[i]=anc; if(!inque[i]){ Q.push_back(i); inque[i]=1; } } } bool dfs(int S,int n){ for(int i=0;i<=n;i++)pre[i]=-1,inque[i]=0,base[i]=i; Q.clear();Q.push_back(S);inque[S]=1; while(!Q.empty()){ int u=Q.front();Q.pop_front(); for(int v=1;v<=n;v++){ if(g[u][v]&&base[v]!=base[u]&&match[u]!=v){ if(v==S||(match[v]!=-1&&pre[match[v]]!=-1))contract(u,v,n); else if(pre[v]==-1){ pre[v]=u; if(match[v]!=-1)Q.push_back(match[v]),inque[match[v]]=1; else{ u=v; while(u!=-1){ v=pre[u]; int w=match[v]; match[u]=v; match[v]=u; u=w; } return true; } } } } } return false; } int MMG() { int ans=0; memset(match,-1,sizeof(match)); for(int i=1;i<=n;i++) if(match[i]==-1&&dfs(i,n)) ans++; return ans; } int main() { int a,b; while(~scanf("%d%d",&n,&m)) { memset(g,false,sizeof(g)); for(int i=1;i<=m;i++) { scanf("%d%d",&a,&b); g[a][b]=g[b][a]=true; com[i].u=a; com[i].v=b; } mmg=MMG(); res.clear(); for(int i=1;i<=m;i++) { a=com[i].u; b=com[i].v; memset(g,false,sizeof(g)); for(int j=1;j<=m;j++) if(j!=i) { int x=com[j].u,y=com[j].v; if(x==a||x==b||y==a||y==b) continue; g[x][y]=g[y][x]=true; } int t=MMG(); if(t!=mmg-1) res.push_back(i); } printf("%d\n",res.size()); if(res.size()) printf("%d",res[0]); for(int i=1;i<res.size();i++) printf(" %d",res[i]); printf("\n"); } return 0; }
版权声明：本文为博主原创文章，未经博主允许不得转载。
参考：http://blog.csdn.net/weyuli/article/details/10141881
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一个不小心…被你发现了。不过大家就爱你的猥琐啦~摸~


Pro_Pack : ImportExport¶
ProPack importexport module manages files and sourcecontrol
>>> # import statement for the module via the r9pro decompiler
>>> from Red9.pro_pack import r9pro
>>> r9pro.r9import('r9ie')
>>> import r9ie
Main Classes
P4_sourceControl ([path]) |
Perforce format reference: |
r9File ([path]) |
Red9 file handler system, bound to OS calls directly by inheritance from pm.util.path which then exposes all OS calls directly to the class instance. |
-
getNewNodes
(fn)¶ decorator function to get new nodes after a method has been run this decorator sets an attr call _new nodes in the object instance where all new created nodes are store as a list
-
checkPlugin
(pluginName)¶
-
checkFile
(fileName, ext)¶
-
class
MayaFile
(filePath=None)¶ Bases:
Red9.pro_pack.browser.actions.FileBaseActions
-
saveMa
()¶
-
saveMb
()¶
-
open
(*args, **kws)¶
-
importFile
(*args, **kws)¶
-
reference
(*args, **kws)¶
-
-
class
Fbx
¶ Bases:
object
base class to handlin FBX file import and export
-
importFbx
(fileName=None, preset=None)¶ import fbx with the base fbximport preset from motionbuilder
Parameters: - fileName – fbx file to import
- preset – if given use this preset rather than the internal preset of Red9
Note
the presets must be in the “Red9pro_packcoreFBX_presetsimport” folder to be loaded
-
exportFbx
(fileName=None, selection=False, preset=None)¶ export selected data to fbx
Parameters: - fileName – fbx file to export too
- selection – bool, export the selected nodes or the scene
- preset – if given use this preset rather than the internal preset of Red9
Note
the presets must be in the “Red9pro_packcoreFBX_presetsexport” folder to be loaded
-
updateFbx
(fileName=None)¶ import an fbx via the ‘update’ option, if nodes are found in the scene their anim data will be updated
Parameters: fileName – fbx file to import
-
addFbx
(fileName=None)¶ import using the ‘add’ only method, all data will be imported as new
Parameters: fileName – fbx file to import
-
getTakeInfo
(fileName=None, index=1)¶ get take info from the fbx data internals
-
-
class
Atom
¶ Bases:
object
-
class
P4_sourceControl
(path='')¶ Bases:
object
Perforce format reference:
<<<<<<< HEAD ======= >>>>>>> d7ab8a039c4da0838a07bf4a9ec3ad957667b21eNote
This accepts either the file pointer or depot folder path if you want to act on multiple files at once. Ideally folder depot path needs to end in ... to denote that we’re walking into that path
if you want to clamp to a given format in a folder you can pass the depot path as ‘//depot/path/to/stuff/...ma’ for example
TODO: decouple this from Maya so it can be using in native Python (MoBu support etc)
-
path_iswildcard
()¶ check if our given path var is a dir or a single file object, ie endsWith ‘...’ or ‘*’
-
info
()¶
=======
-
info
¶
>>>>>>> d7ab8a039c4da0838a07bf4a9ec3ad957667b21e
get the general Perforce session info
-
username
¶
<<<<<<< HEAD
return the current userName from P4 info keys
-
clientroot
¶
<<<<<<< HEAD
return the clientRoot from P4 info keys
-
-
clientname
¶
<<<<<<< HEAD
return the clientName from P4 info keys
-
revision
()¶ return the current revision that you have in your workspace
-
revision
¶
-
exists
¶
<<<<<<< HEAD
simple bool, is the file path already in P4? Checked via a simple fstat call
=======simple bool, is the file path already in P4? Checked via fstat
>>>>>>> d7ab8a039c4da0838a07bf4a9ec3ad957667b21e
-
exists_local
¶
<<<<<<< HEAD
os check if the file exists locally. Issue is that P4 can say you have the file in your workspace but you may have deleted it locally
=======os check if the file exists locally
>>>>>>> d7ab8a039c4da0838a07bf4a9ec3ad957667b21e
-
fstat
¶ get all fstat info for the fileobject, returned as a dict
-
fstat_dir
(filetype=None, recursive=True)¶ where the path bound in the object is just that, a depot folder path rather than a file pointer.
Parameters: - filetype – if you want to clamp the fstat to a given file extension
- recursive – append ‘...’ to the search to make it recursive folder
-
is_head
()¶
<<<<<<< HEAD
return True if you have the head revision in your workspace, this DOESN’T check if it exists locally however
=======return true is the file is already at the head version
>>>>>>> d7ab8a039c4da0838a07bf4a9ec3ad957667b21e
-
<<<<<<< HEAD
have_rev
(rev=None)¶ return the revision you have locally in your workspace, if this returns nothing then the file does not exist in your workspace yet and return False
Parameters: rev – if given we check the version you have against this revision and return a bool
-
head_revision
()¶ head revision number of the fileobject in Perforce
-
have_head
()¶ The file you have is the Head revision AND exists locally. The issue with P4 is that you can get the fstat to return that you have the head file in your workspace, but you may have deleted the local file. This validates both cases.
-
client_file
()¶ local ‘client’ path to the fileobject
-
depot_file
()¶ local ‘depotFile’ path to the fileobject
-
client_parentfolder
()¶ return the stripped back parent folder on the client side
-
depot_parentfolder
()¶
=======
return the revision you have locally in your workspace, if this returns nothing then the file does not exist in your workspace yet and return False
have_rev
()¶
-
head_revision
¶ head revision number of the fileobject
-
client_file
¶ local ‘client’ path to the fileobject
-
depot_file
¶ local ‘depotFile’ path to the fileobject
-
client_parentfolder
¶ return the stripped back parent folder on the client side
-
depot_parentfolder
¶
>>>>>>> d7ab8a039c4da0838a07bf4a9ec3ad957667b21e
return the stripped back parent folder on the depot side
-
<<<<<<< HEAD
sync
(force=False, exists=True)¶ sync the file to headRevision of this fileobject
=======Parameters: - force – use the force flag when syncing
- exists – ensure that the file exists in the local if not set force
sync
(force=False)¶sync the file to headRevision of this fileobject
>>>>>>> d7ab8a039c4da0838a07bf4a9ec3ad957667b21e
-
checkout
(changelist=None, force=True)¶ checkout the fileobject in P4
Parameters: - changelist – if given use this changelist else use the default <<<<<<< HEAD
- force – if the file is NOT in your workspace, sync it before checkout, this also verifies that you haven’t deleted the local version of that file =======
- force – if the file is NOT in your workspace, sync it before checkout >>>>>>> d7ab8a039c4da0838a07bf4a9ec3ad957667b21e
-
checkin
()¶ Not Implemented for safety
-
revert
()¶ revert this fileobject
-
revert_unchanged
(changelist)¶
-
get_revision
(revision)¶ get a specific revision of this fileobject
Parameters: revision – revision to get
-
create_changelist
(text)¶ make a fresh changelist with the text given
Parameters: text – text to use in the changelist description
-
get_changelist_info
(changelist)¶ get the details back on a given changelist for this fileobject
Parameters: changelist – changelist to get the info from if given
-
add
(changelist=None)¶ add this fileobject into Perforce
Parameters: changelist – changelist to add the data to if given
-
delete
(changelist=None)¶ mark the fileobject for delete from P4
Parameters: changelist – changelist to delete the data from if given
-
revert_all
(changelist)¶ revert all changes in a given changelist
Parameters: changelist – changelist to revert
-
push_file
(changelist=None)¶ This is a wrap over checkout and add, if the file already exists in P4 then we check it out, if it’s a new file that doesn’t exist then we mark it for add
Parameters: changelist – changelist to add the fileobject to if given
-
class
r9File
(path=None)¶ Bases:
pymel.util.path.path
Red9 file handler system, bound to OS calls directly by inheritance from pm.util.path which then exposes all OS calls directly to the class instance.
This also binds Perforce to the class is Perforce was found on your system, exposing and binding all perforce commands directly to this file object
>>> from Red9.pro_pack import r9pro >>> r9pro.r9import('r9ie') >>> import r9ie >>> >>> myfile=r9ie.r9File(myfilepath) >>> myfile.sourcecontrol.fstat >>> >>> # bescause we bind os we can also directly run os/path calls >>> myfile.exists() >>> myfile.splitext()
Note
when dealing with P4 the P4_SourceControl class is bound to self as self.sourcecontrol, exposing all the calls directly.
Parameters: path – Only takes one args and that’s the filepath to convert to a file object -
explore
()¶ open up the native OS directory to explore
-
formatPath
()¶ take the given path and format it for Maya path ‘/’
-
open_osNative
()¶ open the file in the native OS application
-
open_mayafile
()¶ open maya file files.i n batch mode opens in current maya session, not in batch mode it prompt a message box to choose between open in current session or in a new maya session
-
joinpath
(first, *others)¶ override of joint path to always return a Maya format path not an os path (‘/’ not ‘’)
-
force_makedirs
()¶ for the internal path ensure that the folder structure exists if not create it
-
copy_makedirs
(dest)¶ copy a file to a folder and if that folder, or folder structure does not exist, recursively create it with makedirs before the file copy
Parameters: dest – destination path to copy the data too Note
the dest can be either a folder or a full path, if it’s just a folder the file will be copied with the same name, if it’s a full path then the file copy will rename the file accordingly
makedirs uses id:0755 in folder creation
-
copy_to_sourcecontrol
(dest, changelist=None, ignore_deleted=True)¶ This is a wrap over the sourcecontrol/Perforce handler, designed to allow you, in one go, to push a file into the repository.
Parameters: - src – source file path
- dest – destination filepath
- changelist – optional changelist to add it too
- changelist_txt – text for the changelist
ignore_deleted: if the file was previously marked for delete or deleted ignore it
- It will:
- locally create all folder structures as required
- sync the dest file if it exists in the repository and isn’t in your workspace
- check the dest file out
- copy the src file to the given dest path
- if the file is not in the repository it will mark it for add
-


The Secrier lab at the
UCL Genetics Institute works at the
interface of genomics and immunology. Our main research focus is cancer, and in this arena we are interested in understanding the evolution of genomic
instability during cancer development and progression, and how this links to changes in the tumour microenvironment
and impacts immune responses. We aim to address this by developing new computational methods for the identification
of large-scale events contributing to genomic instability, probabilistic models that link genetic changes and immune activity,
and methods for inferring the timing and genetic features of key points in cancer progression. We have also recently started
to explore genetic factors linked to risk and progression in neurodegenerative diseases.