A general block diagram of process in an OS looks something like this figure:
Main things to consider regarding a process are:
- Process state
- Data being used by a process
- Pointers and stuff in the Program counter
To move a process to another machine, above things have to be created in the destination machine. This is what process migration is all about.
Remember, process is just a program in execution. so, basically, we have to create new process with set of thread that are executing in source machine.
Steps in process migration–
- Source machine request destination machine if migration can happen. Known as _migration request. _After some kind of negotiation, it is granted.
- The source machine then halt the process. communication is also temporarily queued so that it can later to sent to the new copy of current process in destination machine.
- System then analyze and collect process’s state, which includes memory state(memory content owned by process), processor state(content in CPU registers) as well as open files or any kernel context codes(if any). Some files and kernel code are OS dependent which is not allowed for transfer.
- A new process instance on destination machine is then created. The state saved in previous step is now transferred to this new instance. Sometimes, not all the states are required immediately, so they gets transferred later.
- Once the sufficient amount of state transfer is done, process gets activated on destination machine.
- The communication, which was being queues(in step 2), is now redirected to this new process. The queuing process runs parallel wrt STEP 3,4,5.
- Sometimes, OS makes reference of migrated process, in order to control or communicate the process in future.


I'm a Web Developer and avid learner from QLD, Australia.
I'm currently enrolled in a coding bootcamp at @coderacademy doing a high diploma of IT. In my spare time i like to play golf and work on my app called Draftit which is a project management/social publishing/nft platform for creative writers. If you would like to contribute/connect, send me a message below.


public class FilterBuilder
extends java.lang.Object
implements java.lang.Cloneable, java.io.Serializable
| Constructor and Description |
|---|
FilterBuilder()
Constructs a new builder for Bloom filters and counting Bloom filters.
|
FilterBuilder(int expectedElements,
double falsePositiveProbability)
Constructs a new Bloom Filter Builder by specifying the expected size of the filter and the tolerable false
positive probability.
|
FilterBuilder(int size,
int hashes)
Constructs a new Bloom Filter Builder using the specified size in bits and the specified number of hash
functions.
|
| Modifier and Type | Method and Description |
|---|---|
FilterBuilder |
addReadSlave(java.lang.String host,
int port)
Adds a read slave to speed up reading access (e.g. contains or getEstimatedCount) to normal and counting
Redis-backed Bloom filters.
|
<T> BloomFilter<T> |
buildBloomFilter()
Constructs a Bloom filter using the specified parameters and computing missing parameters if possible (e.g.
|
<T> CountingBloomFilter<T> |
buildCountingBloomFilter()
Constructs a Counting Bloom filter using the specified parameters and by computing missing parameters if possible (e.g.
|
FilterBuilder |
clone() |
FilterBuilder |
complete()
Checks if all necessary parameters were set and tries to infer optimal parameters (e.g. size and hashes from
given expectedElements and falsePositiveProbability).
|
int |
countingBits() |
FilterBuilder |
countingBits(int countingBits)
Sets the number of bits used for counting in case of a counting Bloom filter.
|
static java.nio.charset.Charset |
defaultCharset() |
int |
expectedElements() |
FilterBuilder |
expectedElements(int expectedElements)
Sets the number of expected elements.
|
double |
falsePositiveProbability() |
FilterBuilder |
falsePositiveProbability(double falsePositiveProbability)
Sets the tolerable false positive probability.
|
java.util.Set<java.util.Map.Entry<java.lang.String,java.lang.Integer>> |
getReadSlaves() |
int |
hashes() |
FilterBuilder |
hashes(int numberOfHashes)
Set the number of hash functions to be used.
|
HashProvider.HashFunction |
hashFunction() |
FilterBuilder |
hashFunction(HashProvider.HashFunction hf)
Uses a given custom hash function.
|
FilterBuilder |
hashFunction(HashProvider.HashMethod hashMethod)
Sets the method used to generate hash values.
|
HashProvider.HashMethod |
hashMethod() |
boolean |
isCompatibleTo(FilterBuilder other)
Checks wether a configuration is compatible to another configuration based on the size of the Bloom filter and
its hash functions.
|
java.lang.String |
name() |
FilterBuilder |
name(java.lang.String name)
Sets the name of the Bloom filter.
|
static int |
optimalK(long n,
long m)
Calculates the optimal hashes (number of hash function) given expectedElements (expected number of
elements in bloom filter) and size (size of bloom filter in bits).
|
static int |
optimalM(long n,
double p)
Calculates the optimal size size of the bloom filter in bits given expectedElements (expected
number of elements in bloom filter) and falsePositiveProbability (tolerable false positive rate).
|
static int |
optimalN(long k,
long m)
Calculates the amount of elements a Bloom filter for which the given configuration of size and hashes is
optimal.
|
static double |
optimalP(long k,
long m,
double insertedElements)
Calculates the best-case (uniform hash function) false positive probability.
|
boolean |
overwriteIfExists() |
FilterBuilder |
overwriteIfExists(boolean overwrite)
Sets whether any existing Bloom filter with same name should be overwritten in Redis.
|
boolean |
redisBacked() |
FilterBuilder |
redisBacked(boolean redisBacked)
Instructs the FilterBuilder to build a Redis-Backed Bloom filters.
|
int |
redisConnections() |
FilterBuilder |
redisConnections(int numConnections)
Sets the number of connections to use for Redis.
|
java.lang.String |
redisHost() |
FilterBuilder |
redisHost(java.lang.String host)
Sets the host of the backing Redis instance.
|
int |
redisPort() |
FilterBuilder |
redisPort(int port)
Sets the port of the backing Redis instance.
|
int |
size() |
FilterBuilder |
size(int size)
Sets the size of the filter in bits.
|
public FilterBuilder()
public FilterBuilder(int expectedElements, double falsePositiveProbability)
expectedElements
- expected elements in the filterfalsePositiveProbability
- tolerable false positive probabilitypublic FilterBuilder(int size, int hashes)
size
- bit size of the Bloom filterhashes
- number of hash functions to usepublic FilterBuilder expectedElements(int expectedElements)
expectedElements
- number of expected elements.public FilterBuilder size(int size)
size
- size of the filter in bitspublic FilterBuilder falsePositiveProbability(double falsePositiveProbability)
falsePositiveProbability
- the tolerable falsepublic FilterBuilder hashes(int numberOfHashes)
numberOfHashes
- number of hash functions used by the filter.public FilterBuilder countingBits(int countingBits)
Default: 16
countingBits
- public FilterBuilder name(java.lang.String name)
overwriteIfExists(boolean)
. Default: ""
name
- public FilterBuilder redisBacked(boolean redisBacked)
Default: false
redisBacked
- a boolean indicating whether redis should be usedpublic FilterBuilder redisHost(java.lang.String host)
Default: localhost
host
- the Redis hostpublic FilterBuilder redisPort(int port)
Default: 6379
port
- the Redis portpublic FilterBuilder redisConnections(int numConnections)
Default: 10
numConnections
- the number of connections to use for Redispublic FilterBuilder overwriteIfExists(boolean overwrite)
Default: false
overwrite
- boolean indicating whether to overwrite any existing filter with the same namepublic FilterBuilder addReadSlave(java.lang.String host, int port)
host
- host of the Redis read slaveport
- port of the Redis read slavepublic FilterBuilder hashFunction(HashProvider.HashMethod hashMethod)
HashProvider.HashMethod
. Default: MD5
For the generation of hash values the String representation of objects is used.
hashMethod
- the method used to generate hash valuespublic FilterBuilder hashFunction(HashProvider.HashFunction hf)
hf
- the custom hash functionpublic <T> BloomFilter<T> buildBloomFilter()
T
- the type of element contained in the Bloom filter.public <T> CountingBloomFilter<T> buildCountingBloomFilter()
T
- the type of element contained in the Counting Bloom filter.public FilterBuilder complete()
public FilterBuilder clone()
clone
in class java.lang.Object
public boolean redisBacked()
true
if the Bloom Filter will be Redis-backedpublic int expectedElements()
public int size()
public int hashes()
public int countingBits()
public double falsePositiveProbability()
public java.lang.String name()
public java.lang.String redisHost()
public int redisPort()
public int redisConnections()
public HashProvider.HashMethod hashMethod()
public HashProvider.HashFunction hashFunction()
public static java.nio.charset.Charset defaultCharset()
public boolean overwriteIfExists()
true
if the Bloom filter that is to be built should overwrite any existing Bloom filter with the same namepublic java.util.Set<java.util.Map.Entry<java.lang.String,java.lang.Integer>> getReadSlaves()
public boolean isCompatibleTo(FilterBuilder other)
other
- the other configurationtrue
if the configurations are compatiblepublic static int optimalM(long n, double p)
n
- Expected number of elements inserted in the bloom filterp
- Tolerable false positive ratepublic static int optimalK(long n, long m)
n
- Expected number of elements inserted in the bloom filterm
- The size of the bloom filter in bits.public static int optimalN(long k, long m)
k
- number of hashesm
- The size of the bloom filter in bits.public static double optimalP(long k, long m, double insertedElements)
k
- number of hashesm
- The size of the bloom filter in bits.insertedElements
- number of elements inserted in the filter


The Canada-Ontario Job Grant supports eligible training costs up to a maximum of $10,000 per trainee, with additional flexibility for small employers.
Eligible training costs are as follows:
- Tuition or other training provider fees
- Textbooks, software and other required materials (e.g., training clothing, tools, equipment, disability supports [as noted below], etc.)
- Mandatory student fees
- Examination fees.


---
layout: examples
title: Navbar template
---
Flow, my tears, fall from your springs! Exiled for ever, let me mourn; Where night's black bird her sad infamy sings, There let me live forlorn.
Down vain lights, shine you no more! No nights are dark enough for those That in despair their last fortunes deplore. Light doth but shame disclose.
Never may my woes be relieved, Since pity is fled; And tears and sighs and groans my weary days, my weary days Of all joys have deprived.
From the highest spire of contentment My fortune is thrown; And fear and grief and pain for my deserts, for my deserts Are my hopes, since hope is gone.


?34-
ST.
LUCIA
British
West
Indies
Au
Áj-
Iftf
Jr.
til
VO^x
BOTANICA
l
È
New
York
Botanical
Garden
IbOHflbfl
Panicum
pilosum
Swartz
Common
grass
on
burnt
over
hillside
near
the
0ulfur
Springs.
Soufriere,
R.
A.
Howard
1155
6
April
22-May
18,
1950
1604868
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


Publishing your first decentralized website with Dat
Join Wifi
SSID:
MauveNet
Password:
ournetworks
Navigate to this page
http://YOUR_IP
Download Beaker
https://BeakerBrowser.com
Mac OS
Linux (AppImage)
Windows
Links!
Retro GIFs
Slides
Chat
Persist your archive (Hashbase)


Developed and maintained automatic loan ordering system for New York City based financial firm. Worked with Executive Committee members to understand, plan and implement system requirements. Identified and overcame obstacles found in highly competitive open market bidding system. Developed in Java, TSQL, MySQL, PHP, and BASH script.
Designed and implemented a video motion tracking system using background image subtraction and image segmentation. Used Java and JNI extensively in the implementation. Designed and implemented a DVR/Video Player in C++ using WIN32 and Visual Studio. Designed and implemented a transport stream parser based on ISO specs. Designed and implemented a flexible media encoder architecture using Java/JNI. Maintained large Java based video management system project containing more that one million lines of code. Designed and implemented a .NET C# plug-in. Implemented various Java UI widgets, expanded project functionality, and developed new input and output methods.
Worked in a small group to develop an ActiveX video streaming application. Designed and developed the user management, health monitoring, and off-line playback modules of a digital video surveillance system. Worked with G729 and AAC audio encoding standards. Ported a G729 implementation to ARM based device using Win CE. Developed a video streaming client in Window CE. Member of a development team to implement h264 on a TI DSP.
Developed a form recognition program using Java. Used various in-house developed image processing algorithms including: thinning, line detection, hand vs. written text detection, and object detection. Helped designed an internal website using PHP and MySQL.


Introduction
I read the very well written article by “roachmaster” the other day and thought that it was a good beginner’s project to learn C++. But then I got thinking. Maybe it would make a good guide for an intermediate level project as well. It implements the same rules as “roachmaster’s” simulator, but it differs in design and somewhat in implementation. It uses OO concepts and the STL more extensively.
C++
C++ is a very versatile language, once you start to take advantage of everything it has to offer. The STL is great for starters. One of the goals Stroustrup (the inventor of C++) had was to make the std::vector class at least as quick as C-style arrays. He has also expressed that the C-style arrays are ridiculous, they don’t even know how many elements they contain. Another important aspect of C++ is the notion of objects. An object is a user defined type that has relationship with other objects. This means that if you got a function that calculates areas in square centimeters you can create a centimeter object that you pass to the function instead of a naked double value. Now you are safe from anyone trying to pass an inch object to that particular function. It will generate an error at compile time and you can’t ship software if it isn’t compiled. This is also known as type safety.
This project
This project is aimed at programmers who got the basic C++ syntax and grammar down and want to expand on how to think when designing object oriented programs. The problem we are trying to solve is an easy one which means we can focus more on the code and the concepts behind it.
There is much to be added to this code to make it complete, but the classes do compile and are ready to be put into a project.
So the problem at hand is to draw random lottery numbers, create tickets to a player with random numbers on them and to check and see if the player has won or not.
The rules
1. The lottery draws 6 balls, 5 white and 1 red ball, randomly.
2. You buy any amount of lottery tickets with 6 random numbers on each.
3. If the drawn numbers matches the numbers in your tickets, you win.
4. Bonus is awarded if you match the red ball.
Balls
When I first began designing the new version I thought that the different colored balls would make a perfect chance to show off some object inheritance. So I created a base class Ball which implements all code that is congruent for any ball. That is, every ball has a number and every ball has a color. Balls can also be compared with other balls and since all balls has a number they can also be compared with any integer.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
|
class Ball
{
public:
Ball(int i) { number = i; }
int getNumber() { return number; }
bool isRed() { return Red; }
const bool operator == (int i) { return number == i; }
const bool operator == (Ball &rhs) { return number == rhs.number; }
const bool operator < (Ball &rhs) { return number < rhs.number; }
const bool operator > (Ball &rhs) { return number > rhs.number; }
protected:
int number;
bool Red;
};
| |
Now we need to differentiate between different kinds of balls.  The only real difference is the color. We set a flag to tell if the ball is red or if it is not red. Note also, that we use the base class’ ctor to set the number of the ball.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
|
class WhiteBall : public Ball
{
public:
WhiteBall(int i) : Ball(i)
{
Red = false;
}
};
class RedBall : public Ball
{
public:
RedBall(int i) : Ball(i)
{
Red = true;
}
};
| |
Random Numbers
A lottery isn’t a lottery without its random numbers. The RandomNumber class creates random numbers. The ctor takes 3 integer arguments, minimum, maximum and amount. The minimum is the lowest value to generate, the maximum is the highest number to generate and amount is the amount of numbers to create. We use the new C++11 library <random> to create our random numbers. First we create a random_device object. This object uses /dev/urandom on GNU/Linux to generate a random seed to the random generator. I don’t know how windows implements this object, but it still works. We use the default random engine (mersenne_twister_engine at the time of writing) to generate our numbers.
We see a new C++11 construct here as well. The new for-loop. It makes it easier to traverse arrays and other objects with iterators. It wouldn’t do to have duplicate balls. Would we count that as two matches or one match if we got the number on our ticket? If we detect duplicates, regenerate the number and stick the new number into the vector.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27
|
class RandomNumbers
{
public:
RandomNumbers(int min, int max, int amount)
{
std::random_device rd;
std::default_random_engine re(rd());
std::uniform_int_distribution<int> uid(min, max);
for (int i = 0; i < amount; i++)
{
int num = uid(re);
for (int n : numbers)
{
if (n == num)
num = uid(re);
}
numbers.push_back(num);
}
}
std::vector<int> getNumbers() { return numbers; }
private:
std::vector<int> numbers;
};
| |
Tickets
Next I decided to create the ticket class. It is very simple. It only holds 6 random numbers between 1 and 58 for us. It also contains logic for displaying our ticket. The most interesting thing about this class is that we are using an object we our self’s have created, the RandomNumbers object. We also implement the std::sort function that can sort arrays, vectors and other containers that contain basic types (e.g. int, char, double, float)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
|
class Ticket
{
public:
Ticket()
{
RandomNumbers ticketNums(1, 58, 6);
numbers = ticketNums.getNumbers();
std::sort(numbers.begin(), numbers.end());
}
void display()
{
std::cout << "Ticket: ";
for (int i : numbers)
{
std::cout << std::setw(2) << i << " ";
}
std::cout << std::endl;
}
std::vector<int> getNumbers() { return numbers; }
private:
std::vector<int> numbers;
};
| |
The Lottery
Now we have everything except the lottery itself. The interesting thing here is the use of the vector balls. It contains pointers to the base class Ball but we fill it with 5 WhiteBalls and a RedBall. We can do this since both are of the type Ball. Since we use the keyword new to create the balls we also need to use delete to free the memory allocated by the balls. This is a typical example of how to use the ctor and dtor of a class. The ctor allocates the memory needed for the object and the dtor releases the memory when the object is out of scope.
We get to acquaint our self’s further with C++11 as we see in the line that sorts our balls. Std::sort does not know how to sort balls yet, but it allows us to submit a custom function to show how we want to sort them. As seen in the ball’s class, a ball knows how to compare itself with another ball. But it feels cumbersome to write a function just to test if a ball has a lower value than another. C++11 has the answer to this. Lambdas. A lambda-expression is a short piece of code that behaves like a function, but can be fitted nicely into a line of code and used as an argument to functions that takes a function as one of its arguments. It is also useful for functions that we aren’t likely to reuse but still need for some reason.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43
|
class Lottery
{
public:
Lottery()
{
RandomNumbers RandomWhite(1, 58, 5);
RandomNumbers RandomRed(1, 34, 1);
for (int n : RandomWhite.getNumbers())
{
balls.push_back(new WhiteBall(n));
}
std::sort(balls.begin(), balls.end(), [](Ball* a, Ball* b){ return *a < *b; });
balls.push_back(new RedBall(RandomRed.getNumbers()[0]));
}
~Lottery()
{
for (auto ball : balls)
{
delete ball;
}
}
void display()
{
std::cout << "Lottery: ";
for (auto ball : balls)
{
if (ball->isRed())
std::cout << "Red number: " << ball->getNumber() << std::endl;
else
std::cout << std::setw(2) << ball->getNumber() << " ";
}
}
std::vector<Ball*> getBalls() { return balls; }
private:
std::vector<Ball*> balls;
};
| |
Winning conditions
Ok, so we got our balls, our tickets and our lottery. Now we need to see if the player has won anything. The logic is pretty straight forward even if the code may look a bit cluttered. If you use a good IDE it will help you highlight which curly braces are around what. I use Microsoft Visual Studio Express 2013, but there are many other very competent IDEs out there so make sure to pick one that suits your needs.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48
|
class Winning
{
public:
Winning(std::vector<Ticket*> tickets, std::vector<Ball*> balls)
{
for (auto ticket : tickets)
{
int matches = 0;
bool hasRed = false;
for (int number : ticket->getNumbers())
{
for (auto ball : balls)
{
if (*ball == number)
{
matches++;
if (ball->isRed())
hasRed = true;
}
}
}
winnsPerTicket.push_back(matches);
hasRedTicket.push_back(hasRed);
}
}
int getWinnings()
{
for (size_t i = 0; i < winnsPerTicket.size(); i++)
{
std::cout << "Got " << winnsPerTicket[i] << " matches.";
if (hasRedTicket[i])
std::cout << " And has got the red ball!" << std::endl;
else
std::cout << " But has not got the red ball." << std::endl;
}
return 0;
}
private:
std::vector<int> winnsPerTicket;
std::vector<bool> hasRedTicket;
};
| |
The Game
We’re almost done now. The only thing that remains is to create a menu for buying tickets and implement the logic needed to play. Again we need to be sure to delete the objects we’ve created with new in the dtor.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61
|
class Game
{
public:
Game() {};
~Game()
{
for (auto ticket : tickets)
{
delete ticket;
}
}
void Menu()
{
int numTic = 0;
std::cout << "Welcome to the PowerBall Lottery!" << std::endl;
std::cout << "To play you need to purchase a ticket at $2. More tickets increase the odds to win." << std::endl;
std::cout << "How many tickets would you like? " << std::endl;
do
{
std::cout << "Enter amount of tickets you would like to purchase: ";
std::cin >> numTic;
std::cin.sync();
if ((numTic < 1) || (numTic > 100))
{
std::cout << "Input invalid. Needs to be a number between 1 and 100. Please try again" << std::endl;
}
} while ((numTic < 1) || (numTic > 100));
createTickets(numTic);
std::cout << "Your tickets are registered. Thank you for playing the PowerBall lottery!" << std::endl;
}
void Play()
{
std::cout << "Let\'s see this weeks PowerBall lottery numbers!" << std::endl;
lotto.display();
for (auto ticket : tickets)
{
ticket->display();
}
Winning w(tickets, lotto.getBalls());
w.getWinnings();
}
private:
std::vector<Ticket*> tickets;
Lottery lotto;
void createTickets(int numTic)
{
for (int i = 0; i < numTic; i++)
{
tickets.push_back(new Ticket);
}
}
};
| |
Epilogue
That’s it! Almost. I’ve left some things out for you to implement, but the code compiles and the lottery is playable with the code in this tutorial. You might want to add some function to keep track of the wins and losses and maybe give the player a wallet object to keep money in. One could also think of ways to save the state of the game to keep the stats between sessions. But as I’ve already said, that’s for you to implement.
Oh, before I forget. You’ll need to include some headers to make this code work.
1 2 3 4 5
|
#include <iostream> // For std::cout, std::cin
#include <iomanip> // For std::setw
#include <random> // For all random generation stuff
#include <algorithm> // For std::sort
#include <vector> // For std::vector
| |
All the code in this tutorial is copyleft. That is, you may use this code as you wish, basically. Make sure to check http://www.cplusplus.com/ for more information on any function or method you are unsure about. If you have any questions or suggestions please drop me a line either via PM or email.
“roachmaster”’s article
http://www.cplusplus.com/articles/4yhv0pDG/
Author Tomas Landberg (tomas.landberg (at) gmail.com)
Good Luck!
Attachments:
[PowerBallLotteryRevamped.pdf]


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--- layout: post status: publish published: true title: Data Dude author: display_name: Tomas Restrepo login: tomasr email<EMAIL_ADDRESS>url: http://winterdom.com/ author_login: tomasr author_email<EMAIL_ADDRESS>author_url: http://winterdom.com/ wordpress_id: 116 wordpress_url: http://winterdom.com/2007/08/datadude date: '2007-08-06 18:32:00 +0000' date_gmt: '2007-08-06 18:32:00 +0000' categories: - ".NET" - Tools tags: [] comments: [] ---
I've been using a bit today some of the tools in Visual Studio 2005 Team Edition for Database Professionals today, and I gotta say, some of the features of the product are quite useful. Now I know why Jeff was always so enthusiastic about it :-). The schema comparison tool is quite useful, for example.
That said, I admit I was a bit baffled at first about how to get started with it; a few things aren't quite as intuitive as one could hope for.


Shoot Your Gun!
问题描述 :
There are two rectangular polygons (simple polygons with interior angles of only 90 or 270 degrees) G and T , inside another rectangular polygon M . You can place a gun anywhere on the boundary of G , then shoot a bullet in one of four diagonal directions, and then touch the boundary of T . You may shoot across an edge of T , but touching only a corner is also allowed. Your bullet is not allowed to touch G again (even touching a corner of G is not allowed), before touching T .
The edges of M can reflect the bullet. When the bullet touches a vertex of M , it may simply go through it (and not regarded as a reflection), or go back. These special cases are shown in the figure above.
Write a program to find the minimal number of reflections needed from G to T .
输入:
The input contains several test cases. The first line of each case contains three positive integers nG, nT, nM (4<=nG, nT, nM<=50) . The next line contains nG pairs of integers, the coordinates (non-negative integers not greater than 4000) of the vertices of G , in counter-clockwise order. The next two lines describe polygon T and M , in the same format. It is guaranteed that G and T are outside each other (their boundaries will not touch), and are both inside M (they do not touch the boundary of M ). The last test case is followed by a single zero, which should not be processed.
输出:
The input contains several test cases. The first line of each case contains three positive integers nG, nT, nM (4<=nG, nT, nM<=50) . The next line contains nG pairs of integers, the coordinates (non-negative integers not greater than 4000) of the vertices of G , in counter-clockwise order. The next two lines describe polygon T and M , in the same format. It is guaranteed that G and T are outside each other (their boundaries will not touch), and are both inside M (they do not touch the boundary of M ). The last test case is followed by a single zero, which should not be processed.
样例输入:
4 4 12 1 4 2 4 2 5 1 5 6 4 7 4 7 5 6 5 0 3 3 3 3 0 4 0 4 3 8 3 8 6 4 6 4 5 3 5 3 7 0 7 4 4 4 1 1 2 1 2 2 1 2 3 1 4 1 4 2 3 2 0 0 5 0 5 3 0 3 4 4 4 1 1 2 1 2 2 1 2 6 1 7 1 7 2 6 2 0 0 8 0 8 3 0 3 0
样例输出:
Case 1: 2 Case 2: 0 Case 3: 1
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今天该选哪个好呢
今天该选哪个好呢
今天该选哪个好呢
今天该选哪个好呢
今天该选哪个好呢
今天该选哪个好呢
今天该选哪个好呢
今天该选哪个好呢
今天该选哪个好呢
今天该选哪个好呢
今天该选哪个好呢
今天该选哪个好呢
今天该选哪个好呢
今天该选哪个好呢
今天该选哪个好呢
今天该选哪个好呢
今天该选哪个好呢
今天该选哪个好呢
今天该选哪个好呢
第一句可以忽略不计了吧。从第二句开始分析，说明这个花色下的所有牌都会在其它里面出现，那么还剩下♠和♦。第三句，可以排除2和7，因为在两种花色里有。现在是第四句，因为♠还剩下多个，只有是♦B才能知道答案。
为什么暴力求解方法循环到sqrt(n) 就可以了呢
赞一个！权限已更新:）
太变态了。我用hash居然超时了。这样break掉居然都行啊。。。
这是研发类的题还是算法类？
图像处理那题解题报告在哪儿呢？
很好的思路，可以借鉴
多谢支持！
mark, 备用
不错的网站，建议添加些比赛信息
int L[m+1][n+1];这样定义出错，这个在gcc上可以编译通过 在VS上不行 应该改为new 或者vector
给力，赞一个
其实就是DFS搜索，数据量较小，穷举了所有情况


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Reasons to say Bah Humbug! at Christmas
by Niall O'DowdEbenezer Scrooge had it right. There is so much palaver about Christmas these days that we should just skip it altogether.
Here are the five biggest reasons why I'm over Christmas!
In my father’s time, people from his rural village in Ireland walked to the big town for midnight mass, rain or shine.
They wore shoes, perhaps for the only time that year, determined to show the townies they were as good as them. During the day, after the simple presents, they walked to the rambling house, the one in the village where the storytelling began. It was a simple Christmas just like it should be.
Now we can hardly walk on the sidewalks here in New York so vast are the throngs seeking the bargains to give to the kids who have everything but nothing.
Did you know Christmas was on the wane before Charles Dickens reinvented it?
That’s how fake it is.
The victoriaweb.org says:
“It was 'A Christmas Carol,' by Dickens, published on December 19, 1843, that has preserved the Christmas customs of olde England and fixed our image of the holiday season as one of wind, ice, and snow without, and smoking bishop, piping hot turkey, and family cheer within. Coming from a family large but not-too-well-off, Charles Dickens presents, again and again, his idealized memory of a Christmas associated with the gathering of the family which ‘bound together all our home enjoyments, affections, and hopes.’”
The most annoying thing for me is how political the term “Merry Christmas” has become.
You can’t say Happy Holidays, including Hanukkah or Kwanza, without the religious right seeking to castrate you for being inclusive. PS, dear religious right, Jesus was Jewish last time I checked. Thanks to Fox News there was a phony war on Christmas and Donald Trump has very deliberately stated “Merry Christmas” in recent remarks.
And did you know Coca-Cola invented Santa as we know him, plump, jolly and merry?
Until 1931, Santa was often an elf or a skinny old man in a green coat. Then Coke got involved.
According to the Coca-Cola archives in 1931 the company began placing Coca-Cola ads in popular magazines. Archie Lee, the D'Arcy Advertising Agency executive working with The Coca-Cola Company, wanted the campaign to show a wholesome Santa who was both realistic and symbolic. So Coca-Cola commissioned Michigan-born illustrator Haddon Sundblom to develop advertising images using Santa Claus — showing Santa himself, not a man dressed as Santa. Not blaming Coke but the “real” Santa is as fake as a three dollar bill.
For inspiration, Sundblom turned to Clement Clark Moore's 1822 poem "A Visit From St. Nicholas" (commonly called "'Twas the Night Before Christmas"). Moore's description of St. Nick led to an image of a warm, friendly, pleasantly plump and human Santa. (And even though it's often said that Santa wears a red coat because red is the color of Coca-Cola, Santa appeared in a red coat before Sundblom painted him.)
Sundblom’s Santa debuted in 1931 in Coke ads in The Saturday Evening Post and appeared regularly in that magazine, as well as in Ladies Home Journal, National Geographic, The New Yorker and others.
I also dislike how early Christmas is starting nowadays.
There are Christmas shops open all year round, and in Ireland, a major store started Santa in September. Here in America Thanksgiving gets in the way, but don’t be surprised if someone begins a campaign to move Thanksgiving to the week after July 4th in order to make more money jingle in their pockets.
So, as I say, Bah! Humbug! Boo!
* Originally published in Dec 2016.
Is there anything that really gets your goat about Christmas time? Let us know in the comments section below.


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Modifies the version date and time used throughout the calculations.
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What do the basic laws of physics describe? Why is the state of a classical particle identified by position and momentum (i.e. a point on a cotangent bundle) while the state of a quantum system is identified by a wave function (i.e. a vector in a Hilbert space)? Could we have had different laws?
The project aims to identify a handful of physical principles from which the basic laws can be rigorously derived.
We believe this approach allows us to answer the above questions as it forces us to:
Learn more about the overall project: its motivation, its goals and its overall framework.
Papers, presentations, videos and all the other material that aim to disseminate the ideas and results of the project.
Our work-in-progress open access book, which explores all the ideas in depth from all different angles: math, physics and philosophy.


{% extends 'layouts/base.html' %}
{% block title %} Medical {% endblock %}
{% block stylesheets %}{% endblock stylesheets %}
{% block content %}
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Items
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Price
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Jeans
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Rs. 20
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Pyjama
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Rs. 10
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Shorts
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Kurta/Salwar
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Uppar Hood
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Rs. 30
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Name
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Room Number
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Phone Number
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TIME At which you want Pickup of Clothes
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{% for i in laundary %}
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{{ i.name }}
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{% endfor %}
{% endblock content %}
{% block javascripts %}{% endblock javascripts %}


%matplotlib inline
from __future__ import print_function
from statsmodels.compat import lzip
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import statsmodels.api as sm
from statsmodels.formula.api import ols
We can use a utility function to load any R dataset available from the great Rdatasets package.
prestige = sm.datasets.get_rdataset("Duncan", "car", cache=True).data
prestige.head()
prestige_model = ols("prestige ~ income + education", data=prestige).fit()
print(prestige_model.summary())
Influence plots show the (externally) studentized residuals vs. the leverage of each observation as measured by the hat matrix.
Externally studentized residuals are residuals that are scaled by their standard deviation where
$$var(\hat{\epsilon}_i)=\hat{\sigma}^2_i(1-h_{ii})$$with
$$\hat{\sigma}^2_i=\frac{1}{n - p - 1 \;\;}\sum_{j}^{n}\;\;\;\forall \;\;\; j \neq i$$$n$ is the number of observations and $p$ is the number of regressors. $h_{ii}$ is the $i$-th diagonal element of the hat matrix
$$H=X(X^{\;\prime}X)^{-1}X^{\;\prime}$$The influence of each point can be visualized by the criterion keyword argument. Options are Cook's distance and DFFITS, two measures of influence.
fig, ax = plt.subplots(figsize=(12,8))
fig = sm.graphics.influence_plot(prestige_model, ax=ax, criterion="cooks")
As you can see there are a few worrisome observations. Both contractor and reporter have low leverage but a large residual.
RR.engineer has small residual and large leverage. Conductor and minister have both high leverage and large residuals, and,
therefore, large influence.
Since we are doing multivariate regressions, we cannot just look at individual bivariate plots to discern relationships.
Instead, we want to look at the relationship of the dependent variable and independent variables conditional on the other
independent variables. We can do this through using partial regression plots, otherwise known as added variable plots.
In a partial regression plot, to discern the relationship between the response variable and the $k$-th variabe, we compute
the residuals by regressing the response variable versus the independent variables excluding $X_k$. We can denote this by
$X_{\sim k}$. We then compute the residuals by regressing $X_k$ on $X_{\sim k}$. The partial regression plot is the plot
of the former versus the latter residuals.
The notable points of this plot are that the fitted line has slope $\beta_k$ and intercept zero. The residuals of this plot
are the same as those of the least squares fit of the original model with full $X$. You can discern the effects of the
individual data values on the estimation of a coefficient easily. If obs_labels is True, then these points are annotated
with their observation label. You can also see the violation of underlying assumptions such as homooskedasticity and
linearity.
fig, ax = plt.subplots(figsize=(12,8))
fig = sm.graphics.plot_partregress("prestige", "income", ["income", "education"], data=prestige, ax=ax)
fix, ax = plt.subplots(figsize=(12,14))
fig = sm.graphics.plot_partregress("prestige", "income", ["education"], data=prestige, ax=ax)
As you can see the partial regression plot confirms the influence of conductor, minister, and RR.engineer on the partial relationship between income and prestige. The cases greatly decrease the effect of income on prestige. Dropping these cases confirms this.
subset = ~prestige.index.isin(["conductor", "RR.engineer", "minister"])
prestige_model2 = ols("prestige ~ income + education", data=prestige, subset=subset).fit()
print(prestige_model2.summary())
For a quick check of all the regressors, you can use plot_partregress_grid. These plots will not label the
points, but you can use them to identify problems and then use plot_partregress to get more information.
fig = plt.figure(figsize=(12,8))
fig = sm.graphics.plot_partregress_grid(prestige_model, fig=fig)
The CCPR plot provides a way to judge the effect of one regressor on the
response variable by taking into account the effects of the other
independent variables. The partial residuals plot is defined as
$\text{Residuals} + B_iX_i \text{ }\text{ }$ versus $X_i$. The component adds $B_iX_i$ versus
$X_i$ to show where the fitted line would lie. Care should be taken if $X_i$
is highly correlated with any of the other independent variables. If this
is the case, the variance evident in the plot will be an underestimate of
the true variance.
fig, ax = plt.subplots(figsize=(12, 8))
fig = sm.graphics.plot_ccpr(prestige_model, "education", ax=ax)
As you can see the relationship between the variation in prestige explained by education conditional on income seems to be linear, though you can see there are some observations that are exerting considerable influence on the relationship. We can quickly look at more than one variable by using plot_ccpr_grid.
fig = plt.figure(figsize=(12, 8))
fig = sm.graphics.plot_ccpr_grid(prestige_model, fig=fig)
The plot_regress_exog function is a convenience function that gives a 2x2 plot containing the dependent variable and fitted values with confidence intervals vs. the independent variable chosen, the residuals of the model vs. the chosen independent variable, a partial regression plot, and a CCPR plot. This function can be used for quickly checking modeling assumptions with respect to a single regressor.
fig = plt.figure(figsize=(12,8))
fig = sm.graphics.plot_regress_exog(prestige_model, "education", fig=fig)
The plot_fit function plots the fitted values versus a chosen independent variable. It includes prediction confidence intervals and optionally plots the true dependent variable.
fig, ax = plt.subplots(figsize=(12, 8))
fig = sm.graphics.plot_fit(prestige_model, "education", ax=ax)
Compare the following to http://www.ats.ucla.edu/stat/stata/webbooks/reg/chapter4/statareg_self_assessment_answers4.htm
Though the data here is not the same as in that example. You could run that example by uncommenting the necessary cells below.
#dta = pd.read_csv("http://www.stat.ufl.edu/~aa/social/csv_files/statewide-crime-2.csv")
#dta = dta.set_index("State", inplace=True).dropna()
#dta.rename(columns={"VR" : "crime",
# "MR" : "murder",
# "M" : "pctmetro",
# "W" : "pctwhite",
# "H" : "pcths",
# "P" : "poverty",
# "S" : "single"
# }, inplace=True)
#
#crime_model = ols("murder ~ pctmetro + poverty + pcths + single", data=dta).fit()
dta = sm.datasets.statecrime.load_pandas().data
crime_model = ols("murder ~ urban + poverty + hs_grad + single", data=dta).fit()
print(crime_model.summary())
fig = plt.figure(figsize=(12,8))
fig = sm.graphics.plot_partregress_grid(crime_model, fig=fig)
fig, ax = plt.subplots(figsize=(12,8))
fig = sm.graphics.plot_partregress("murder", "hs_grad", ["urban", "poverty", "single"], ax=ax, data=dta)
Closely related to the influence_plot is the leverage-resid2 plot.
fig, ax = plt.subplots(figsize=(8,6))
fig = sm.graphics.plot_leverage_resid2(crime_model, ax=ax)
fig, ax = plt.subplots(figsize=(8,6))
fig = sm.graphics.influence_plot(crime_model, ax=ax)
Part of the problem here in recreating the Stata results is that M-estimators are not robust to leverage points. MM-estimators should do better with this examples.
from statsmodels.formula.api import rlm
rob_crime_model = rlm("murder ~ urban + poverty + hs_grad + single", data=dta,
M=sm.robust.norms.TukeyBiweight(3)).fit(conv="weights")
print(rob_crime_model.summary())
#rob_crime_model = rlm("murder ~ pctmetro + poverty + pcths + single", data=dta, M=sm.robust.norms.TukeyBiweight()).fit(conv="weights")
#print(rob_crime_model.summary())
There isn't yet an influence diagnostics method as part of RLM, but we can recreate them. (This depends on the status of issue #888)
weights = rob_crime_model.weights
idx = weights > 0
X = rob_crime_model.model.exog[idx.values]
ww = weights[idx] / weights[idx].mean()
hat_matrix_diag = ww*(X*np.linalg.pinv(X).T).sum(1)
resid = rob_crime_model.resid
resid2 = resid**2
resid2 /= resid2.sum()
nobs = int(idx.sum())
hm = hat_matrix_diag.mean()
rm = resid2.mean()
from statsmodels.graphics import utils
fig, ax = plt.subplots(figsize=(12,8))
ax.plot(resid2[idx], hat_matrix_diag, 'o')
ax = utils.annotate_axes(range(nobs), labels=rob_crime_model.model.data.row_labels[idx],
points=lzip(resid2[idx], hat_matrix_diag), offset_points=[(-5,5)]*nobs,
size="large", ax=ax)
ax.set_xlabel("resid2")
ax.set_ylabel("leverage")
ylim = ax.get_ylim()
ax.vlines(rm, *ylim)
xlim = ax.get_xlim()
ax.hlines(hm, *xlim)
ax.margins(0,0)


Penicillin allergy less common than thought, study says
by HealthDay NewsNov. 25 -- Millions of Americans think they're allergic to penicillin, but they're not, a new study reveals.
This erroneous belief adds millions of dollars to health care costs and results in unnecessary side effects from more powerful antibiotics, researchers say. It also adds to the danger of creating antibiotic-resistant bacteria, they warn.
Christopher Bland, a clinical associate professor at the University of Georgia College of Pharmacy in Atlanta, said an estimated 30 million Americans think they're allergic to this lifesaving drug when they are not.
A simple questionnaire or a pencillin skin test could help determine whether a person is allergic or not, he said. "In many instances we don't have to go past the questionnaire," Bland said in a news release.
"We're finding out that what most of these patients think is an allergic reaction is really only a side effect that may have happened once and might never happen again," he added. "Patients tell us that they became dizzy or nauseated after taking penicillin years ago or that their father was allergic to penicillin, so they thought they were allergic as well."
And even those who once had an allergic reaction to the drug may be safe, Bland added.
After five years, 50 percent of those who were allergic to penicillin aren't anymore and that jumps to 80 percent after 10 years.
"We are able to reduce the number of those who think they have penicillin allergy by 20 percent right away, just by talking to them through our questionnaire," Bland said.
For other patients, a penicillin allergy test can be given and medical records updated if necessary, he said.
In a recent issue of the Open Forum Infectious Diseases journal, Bland's team recently reported that when the test was done by trained nurses, 98 out of 100 patients whose medical record listed penicillin allergy discovered they were not allergic to the antibiotic.
Penicillin is often as effective than more potent drugs, and it's much less expensive. According to the study, the average savings were $350 a patient, including cost of the skin test.
"Our team is on a mission right now," Bland said. "Our goal is that every penicillin allergy is questioned and reconciled, with most coming off medical records and allowing patients to get the best antibiotic for their particular infection, which is often a penicillin."
More information
For more on penicillin allergy, visit the American Academy of Allergy, Asthma and Immunology.
Copyright 2019 HealthDay. All rights reserved.
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The SpecAver is a unit which averages a specified number of spectra. The number of spectra to average can be changed by using the slider at the top of this window or by editing the text field just below it. The minimum and maximum limits on the number of spectra to average can be edited by changed the values which appear in the two text fields shown at the bottom of the window.
You would want to use a spectral averager in situations when you are searching for a constant signal within a noisy background. As you increase the number of spectra which are being averaged the more the noise effectively cancels itself out (since noise is random) and hence the clearer the signal becomes.


--- layout: post title: minimal line drawing date: '2014-02-28T07:30:33+01:00' categories: - Klare Lijn — Ligne Claire - Architecture picture_url: https://film-Storyboards.tumblr.com/post/78104815787/minimal-line-drawing ---
Minimal line drawing.


---
layout: stats
title: Central Florida Statistics
permalink: "/stats/teams/central-florida.html"
---
ACF Nationals 2015
| Year |
Round |
Team |
Opponent |
Result |
Score |
10 |
-5 |
PPB |
Packet |
| 2015 |
1 (Prelims) |
Central Florida |
Harvard A |
Loss |
70 - 240 |
4 |
0 |
7.50 |
MIT A + Alberta |
| 2015 |
2 (Prelims) |
Central Florida |
McGill |
Loss |
55 - 380 |
3 |
1 |
10.00 |
Minnesota + Washington |
| 2015 |
3 (Prelims) |
Central Florida |
Stanford A |
Loss |
90 - 340 |
5 |
0 |
8.00 |
Chicago A |
| 2015 |
4 (Prelims) |
Central Florida |
UCSD B |
Win |
85 - 35 |
6 |
3 |
6.67 |
Virginia and Yale |
| 2015 |
5 (Prelims) |
Central Florida |
Liberty |
Win |
120 - 50 |
8 |
2 |
6.25 |
Rice + Illinois + W+M |
| 2015 |
6 (Prelims) |
Central Florida |
Berkeley A |
Loss |
70 - 300 |
4 |
2 |
10.00 |
Michigan + Toronto |
| 2015 |
7 (Prelims) |
Central Florida |
Maryland A |
Loss |
-5 - 520 |
0 |
1 |
NaN |
Stanford B + Columbia |
| 2015 |
9 (Prelims) |
Central Florida |
Chicago B |
Loss |
115 - 215 |
7 |
1 |
7.14 |
McGill + WUSTL |
| 2015 |
10 (Prelims) |
Central Florida |
Columbia A |
Loss |
40 - 355 |
3 |
2 |
6.67 |
Stanford A |
| 2015 |
11 (Prelims) |
Central Florida |
Michigan B |
Win |
135 - 70 |
9 |
3 |
6.67 |
Ottawa + Harvard |
| 2015 |
12 (Prelims) |
Central Florida |
Ohio State |
Win |
130 - 55 |
7 |
4 |
11.43 |
UCSD A |
| 2015 |
14 (Playoffs) |
Central Florida |
Ottawa |
Win |
110 - 100 |
6 |
4 |
11.67 |
Editors 1 |
| 2015 |
15 (Playoffs) |
Central Florida |
South Carolina |
Win |
195 - 30 |
11 |
1 |
8.18 |
Editors 2 |
| 2015 |
16 (Playoffs) |
Central Florida |
Notre Dame A |
Loss |
75 - 120 |
4 |
1 |
10.00 |
Editors 3 |
| 2015 |
17 (Playoffs) |
Central Florida |
UCLA |
Win |
210 - 0 |
11 |
0 |
9.09 |
Dartmouth |
| 2015 |
18 (Playoffs) |
Central Florida |
VCU A |
Win |
125 - 45 |
7 |
1 |
8.57 |
Editors 4 |
| 2015 |
19 (Playoffs) |
Central Florida |
McMaster A |
Win |
110 - 100 |
6 |
2 |
10.00 |
Editors 5 |
ACF Nationals 2017
| Year |
Round |
Team |
Opponent |
Result |
Score |
10 |
-5 |
PPB |
Packet |
| 2017 |
1 (Prelims) |
Central Florida |
Maryland A |
Loss |
45 - 535 |
2 |
1 |
15.00 |
Berkeley A + Tennessee |
| 2017 |
2 (Prelims) |
Central Florida |
Penn A |
Loss |
65 - 300 |
4 |
1 |
7.50 |
Chicago A + JHU |
| 2017 |
4 (Prelims) |
Central Florida |
Carleton |
Loss |
50 - 265 |
3 |
2 |
10.00 |
Ohio St + Cambridge + Oxford B |
| 2017 |
5 (Prelims) |
Central Florida |
Chicago B |
Loss |
110 - 305 |
5 |
0 |
12.00 |
Stanford + Harvard |
| 2017 |
6 (Prelims) |
Central Florida |
Yale B |
Loss |
120 - 170 |
7 |
0 |
7.14 |
WUSTL + UVA + Toronto + Penn |
| 2017 |
8 (Prelims) |
Central Florida |
Oxford B |
Loss |
85 - 260 |
5 |
1 |
8.00 |
Maryland |
| 2017 |
10 (Playoffs) |
Central Florida |
Amherst |
Loss |
80 - 165 |
5 |
0 |
6.00 |
Editors 1 |
| 2017 |
11 (Playoffs) |
Central Florida |
Yale C |
Win |
140 - 95 |
7 |
0 |
10.00 |
Editors 2 |
| 2017 |
12 (Playoffs) |
Central Florida |
MIT B |
Loss |
45 - 215 |
4 |
1 |
2.50 |
Editors 3 |
| 2017 |
13 (Playoffs) |
Central Florida |
New College of Florida |
Loss |
60 - 185 |
3 |
0 |
10.00 |
Editors 4 |
| 2017 |
14 (Playoffs) |
Central Florida |
Toronto B |
Win |
160 - 120 |
8 |
2 |
11.25 |
Editors 5 |
| 2017 |
15 (Playoffs) |
Central Florida |
Ottawa |
Win |
155 - 130 |
9 |
1 |
7.78 |
Editors 6 |
ACF Nationals 2018
ACF Nationals 2019
| Year |
Round |
Team |
Opponent |
Result |
Score |
10 |
-5 |
PPB |
Packet |
| 2019 |
1 (Prelims) |
Central Florida |
Chicago B |
Loss |
130 - 260 |
7 |
0 |
8.57 |
Yale A + Michigan |
| 2019 |
2 (Prelims) |
Central Florida |
Wright State |
Win |
180 - 140 |
10 |
2 |
9.00 |
UVA + Rutgers + Chicago B |
| 2019 |
3 (Prelims) |
Central Florida |
Rutgers |
Loss |
45 - 185 |
4 |
3 |
5.00 |
McGill + UCLA + Oxford |
| 2019 |
4 (Prelims) |
Central Florida |
Maryland A |
Loss |
65 - 420 |
4 |
1 |
7.50 |
Berkeley A + Ohio St |
| 2019 |
6 (Prelims) |
Central Florida |
Johns Hopkins |
Loss |
70 - 335 |
4 |
0 |
7.50 |
Minn A + Harvard A + B |
| 2019 |
7 (Prelims) |
Central Florida |
Oxford A |
Loss |
35 - 265 |
3 |
1 |
3.33 |
Florida A + Michigan St |
| 2019 |
8 (Prelims) |
Central Florida |
Berkeley B |
Loss |
135 - 300 |
6 |
1 |
13.33 |
Illinois A + Wright St |
| 2019 |
10 (Playoffs) |
Central Florida |
Stanford B |
Win |
155 - 105 |
8 |
1 |
10.00 |
Editors 1 |
| 2019 |
11 (Playoffs) |
Central Florida |
Carnegie Mellon |
Loss |
135 - 140 |
5 |
1 |
18.00 |
Editors 2 |
| 2019 |
12 (Playoffs) |
Central Florida |
Iowa |
Win |
220 - 60 |
10 |
2 |
13.00 |
Editors 3 |
| 2019 |
13 (Playoffs) |
Central Florida |
New College of Florida |
Win |
185 - 120 |
8 |
3 |
15.00 |
Editors 4 |
| 2019 |
15 (Superplayoffs) |
Central Florida |
Illinois B |
Loss |
125 - 150 |
7 |
1 |
8.57 |
Editors 6 |
| 2019 |
16 (Superplayoffs) |
Central Florida |
NYU |
Win |
145 - 120 |
6 |
1 |
15.00 |
Editors 7 |
| 2019 |
17 (Superplayoffs) |
Central Florida |
Florida B |
Win |
150 - 135 |
8 |
0 |
8.75 |
Editors 8 |


Knockout validate allows you to add any kind of validation logic to your observables.
This is one of the simplest examples, using knockout validate to do form validation.
When the validation logic fails, the fail callback on the validated observable is called, updating the UI with error messaging by changing other observables.
When validation succeeds, the success callback tells the form to be happier, also by changing other observables.


The cost involved in the purchase of a computer hardware is generally one time cost.  Electronic devices are durable that can last for years on end.
Running software on these machines however can become a costly affair due to
Sparvk pods make life easier for you by providing portable distributions of operating system software and tools for a one time fee that can be used anywhere any number of times.
No need for recurring licence fee. No need for spending sleepless nights in making the work environment consistent for everyone. No need to worry whether your system can withstand the changing work environment.
Technology that simply works everywhere, everyday for everyone.


Money Play. How should Red play 22?
pips Red=110 White=164
(CorrectAnswer= 0/0, ErrorScore= 0)
XG’s initial evaluation comes up with 14/12(2), 8/6, 3/1 but on rollout it finds the ‘correct’ 14/12 (2), 8/6(2).
The huge blunder here would be 14/10(2). Red wants to dismantle points, not give himself problems clearing them. Blocking points against a back game are good for while but eventually they have to be dismantled and in this position Red should be planning to dismantle, not build.
The huge blunder here would be 14/10(2). Red wants to dismantle points, not give himself problems clearing them. Blocking points against a back game are good for while but eventually they have to be dismantled and in this position Red should be planning to dismantle, not build.
1. Cubeful 2-ply 14/12(2) 8/6 3/1 Eq.: +0.887 0.710 0.161 0.001 - 0.290 0.038 0.000 2. Cubeful 2-ply 14/12(2) 8/6(2) Eq.: +0.870 (-0.016) 0.702 0.172 0.001 - 0.298 0.041 0.000 3. Cubeful 2-ply 14/12(2) 3/1(2) Eq.: +0.863 (-0.024) 0.705 0.164 0.001 - 0.295 0.040 0.000 4. Cubeful 2-ply 14/10(2) Eq.: +0.798 (-0.089) 0.699 0.139 0.001 - 0.301 0.036 0.000 5. Cubeful 0-ply 8/6(2) 3/1(2) Eq.: +0.420 (-0.467) 0.614 0.169 0.002 - 0.386 0.075 0.000


{% extends "sentry/emails/security_base.html" %} {% block security_body %}
Recovery codes have been regenerated for your Sentry account.


Director of Engineering
In4mation insights, a leading market research and analytics tech firm,
Boston, MA
- Led in-house data visualization platforms for healthcare clients for market research
- Developed the media optimization app from the scratch in a team of 6


| | |
- Uuid
class Uuid |
| |
Synopsis:
Unqiue Universal Identifier generator class
Details:
A class to solely generate a unique unniversal identifier.
Generates a new UUID, deploy date, and a file if one has not been created
once this object is instantiated. |
| |
Methods defined here:
- __init__(self, file='uuid.txt')
- Synopsis:
Constructor
Details:
Instatiates a new UUID, deploy date and file attributes
- create_file(self)
- Synopsis:
Create file method
Details:
It's a method that takes the file attribute of this
class and makes a node (a.k.a a file) of that attribute in
the current directory
- does_file_exist(self)
- Synopsis:
Method to check if the file exists
Details:
It's a method that checks if a file is found using the
file attribute and takes the result of that and does
the appropriate actions.
- generate_deploy_date(self)
- Synopsis:
Deploy date/time generation method
NOTE: DEPRECATED
Details:
Method that generates the deploy date and deploy time
based on today's date and time
NOTE: DEPRECATED
- generate_uuid(self)
- Synopsis:
UUID generation method
Details:
Method that generates a UUID in hexadecimal
- read_uuid_file(self)
- Synopsis:
Text file reading method
Details:
It's a method that returns a read text file stream
- read_uuid_file_json(self)
- JSON file reading method
- write_uuid_file(self)
- Synopsis:
Text file writing method
Details:
It's a method that writes to already created text file. If
something is already in text file, this method will overwrite it as well
- write_uuid_file_json(self)
- JSON file writing method
| |


Before Change
summaries = []
for summary_ix in range(options.num_features):
add_prebuilt_summary_op = qaccumulators[summary_ix].add_prebuilt_summary(
stamp_token=stamp_token, summary=prebuilt_summary[summary_ix])
with tf.control_dependencies([add_prebuilt_summary_op]):
// Create op to update the accumulator with new input fed from
// inputs_placeholder.
After Change
// digested information is returned as "summary". Many such summaries
// will be combined by merge_summaries().
summaries.append(gen_quantile_ops.quantile_accumulator_flush_summary(
quantile_accumulator_handle=resource_handles[summary_ix],
stamp_token=stamp_token, next_stamp_token=stamp_token))
return self._session.make_callable(fetches=summaries, feed_list=feed_list)


{% for author in post.authors %} {{author.name}}{% unless forloop.last %},{% endunless %} {% endfor %}
{{ post.published_at | date: "%-d %B %Y"}}
{{post.meta_description}}
{% endfor %}---
layout: default
title: Home
---
Open Targets is an innovative, large-scale, multi-year, public-private
partnership that uses human genetics and genomics data for systematic drug
target identification and prioritisation.
Visit the Open Targets Platform
which integrates public domain data to enable target identification and
prioritisation, or the Open Targets
Genetics portal which identifies targets based on GWAS and functional
genomics. We complement data integration with large scale systematic experimental approaches
to support target identification, prioritisation and validation. Check out
our latest papers describing our experimental target
identification approaches in oncology, neurodegeneration, and immunity and inflammation.
At the heart of Open Targets is a consortium of complementary partner institutions that bring their respective expertise to collaborative projects that improve how we systematically identify and prioritise drug targets.
Systematically identify and prioritise the best targets to safely and effectively treat rare and common diseases
We are committed to rapid publication and making data, methods and results publicly available as soon as possible
We believe in non-exclusive partnerships that foster the free exchange of ideas, expertise, and data
{% for author in post.authors %} {{author.name}}{% unless forloop.last %},{% endunless %} {% endfor %}
{{ post.published_at | date: "%-d %B %Y"}}
{{post.meta_description}}
{% endfor %}


COLLECT COINS!
Use your phone to control Berdie into colliding with a coin to collect it.
The adventures of a bird.
Use your phone to control Berdie into colliding with a coin to collect it.
Berdie is the frustrating game where you control a bird into colliding with coins to collect them, this with insanely annoying accelerometer based controls and a time limit.
Berdie was created as a part of a school assignment, where I was in charge of the code and art. Berdie was written in Swift and utilizes SpriteKit.
If you are interested about knowing more, hit me up on twitter!


Tiny Tails Rescue Adelaide Incorporated is a not for profit rescue run by dedicated volunteers helping rescue unwanted dogs & cats and giving them a second chance.
VIEW>>A one-stop-shop grocery order and delivery app for buying groceries online from multiple locations..
VIEW>>


Notebooks
Story: Hyena and lion
Hyena and lion
Title
Hyena and lion
Collection
Summary
A lion sees the hyena carry away a gemsbok to give to her children waiting in the hole. It goes to head her off but the hyena bites the lion's thigh and it screams in pain. The hyena carries off the gemsbok and leaves the lion, who goes into some thorn bushes where |a!kunta's paternal grandfather Griesbaart sees it. The hyena goes out looking for ostrich eggs which she takes home to her children. There follows a discussion of how they drink the egg-liquid and a general account of the finding and drinking of eggs.
Comments
1) |a!kunta heard this story from his mother's father (note on p.591), finished on p.645 (see note on page), 2) Date on p.591: 22 March '72; p.594: 24 March, 3) p.598v: note on the name of |a!kunta's mother's father (called Griesbaart), 4) p.640v: what the |xam eat (names of foodstuffs), 5) This story is found in Book V
Contributors
Date
March 1872
Categories
History (personal), Plants and animals
Keywords
hyena (and lion) , hyena (doings of) , hyena (children of) , hyena (and ostrich eggs) , hyena (eating habits of) , hyena (the gemsbok and) , hyena (bites the lion's thigh) , lion (hyena and) , lion (thigh of is bitten by the hyena) , lion (and Griesbaart) , thorn bush (the hyena and the lion and) , thorn bush (the lion crawls to) , thorn bush (called !nabba) , thorn bush (spoor and) , names (of |xam) , names (of |a!kunta's paternal grandfather) , names (of a thorn bush) , names (of food) , ostrich (the hyena and the lion and) , ostrich (the hyena drinks eggs of) , ostrich (house of) , ostrich (spoor of) , ostrich ('foot's scent' of) , ostrich eggs (eating) , ostrich eggs (finding) , ostrich eggs (|xam methods of drinking) , ostrich eggs (hyena and the lion and) , ostrich eggs (hyenas eat) , ostrich eggs (parts eaten of) , ostrich eggs (shell of thrown away) , food (eaten by the |xam) , food (names of) , food (hyena eats ostrich eggs) , food (finding and drinking ostrich eggs) , food (hyena and lion) , |a!kunta (his paternal grandfather Griesbaart) , child (hyena's) , personal history (Griesbaart and the lion) , gemsbok (hyena carries of) , gemsbok (and hyena and lion)
Story Pages
591-645


By Ryan M. Hoffman | 2016-11-01
Introduction
I built this website for a couple different purposes. I wanted a place to showcase my portfolio and direct potential clients for my freelance business. I also wanted to build a blog. I decided that the two ideas related enough to warrant being one site. I also wanted something simple that wouldn’t take weeks to create and be a nightmare to host. I did some research and settled on using hugo, a static site generator built with the go programming language by Google. I went with a static site because I wanted something fast and easy to develop AND fast when being served. Hugo checked both of those boxes. All in from the time I first discovered hugo to the time I deployed this site on github pages was about 8 hours of work. That was spread over two evenings, but you get my point on how easy it was to learn and use.
Design
I wanted something modern that would scale well across desktop and mobile, and again hugo had me covered. there are tons of themes for hugo that make design a breeze. I ended up choosing universial theme. This had everything I was looking for and was a joy to work with and modify to suit my needs. Shout-out to Bootstrapious for creating the original design and to DevCows for porting it to hugo. Fantastic job!
Development
As I mentioned earlier this took me about 8 hours total to build. I was expecting to spend a week or more easily, as building a portfolio site and a blog is a relatively small project but by no means is it “easy.” The blog is probably my favorite part. Publishing a new blog post is as simple as copying the markdown file into a folder, rebuilding the site and seeing it pop up.
Since it is a static site and there is no database or php/node.js etc., there aren’t any comments… or so you would think. But with Disqus it is very easy to add comments even without any of the server side scripts. Currently I don’t have this enabled, but it is something I might look into in the future.
Another genius feature included was in the contact section. Again, no server side scripts to handle the form, but it was all thought out. Formspree.io is included to handle all of the emails to make sure you get them delivered to your inbox. It is a very straightforward setup, and the best part is it’s free! If you exceed 1000 emails in a month there is a subscription plan, but I’m not there yet.
Conclusion
This has been a great experience using hugo to build my website. I’m very happy with the outcome, and I would highly recommend checking it out. I may come back and update this after spending more time maintaining and updating the site, but currently I’m thrilled.
In the mean time, please continue to check back periodically. I add new content weekly. For even more frequent updates follow my on twitter @hoffmanryan1 and you can check out my non-tech related ramblings over at my blog on medium @rmhcompanies.


Overview
This endpoint takes a file or image and saves it to a record that already contains an attachment in the specified field. The PUT method is very similar to the POST method but differs slightly in how the request is constructed. PUT requests should send the file data as the body of the request. Optionally, a filename query parameter can be sent with the request to assign a name. Additionally, the PUT
method can accept base64 encoded file data which will be decoded by the endpoint
if the content_transfer_encoding parameter is set to 'base64'.
NOTE: In lieu of the content_transfer_encoding parameter, a
request header of X-Content-Transfer-Encoding can also be sent with a value
of 'base64'. In the event both the content transfer encoding header and request
parameter are sent, the header will be used.
Request Arguments
| Name |
Type |
Description |
Required |
|
filename
|
String
|
Filename to save the document as
|
False
|
|
content_transfer_encoding
|
String
|
When set to 'base64', indicates the file contents are base64 encoded
and will result in the file contents being base64 decoded before being
saved
|
False
|
Request
PUT /rest/v10/Notes/abcd-1234/file/field/ HTTP/1.1 Host: localhost Connection: keep-alive Content-Length: 23456 Content-Type: application/document-doc ...This is where the bin data would be
Response Arguments
| Name |
Type |
Description |
|
field
|
Array
|
The fields containing file properties.
|
|
field.content-type
|
String
|
The files content type.
|
|
field.content-length
|
Integer
|
The files content length.
|
|
field.name
|
String
|
The files name.
|
|
field.width
|
Integer
|
The width of the image.
|
|
field.height
|
Integer
|
The height of the image.
|
|
field.uri
|
String
|
The URI of the file.
|
Response
{
"picture":{
"content-type":"image\/png",
"content-length":72512,
"name":"1a7b8f5c-b11c-0094-c8d8-512e9daaa983",
"width":933,
"height":519,
"uri":"http:\/\/sugarcrm\/rest\/v10\/Contacts\/fa300a0e-0ad1-b322-9601-512d0983c19a\/file\/picture"
}
"attachment":{
"content-type":"application/document-doc",
"content-length":"873921",
"name":"myFile.doc",
"uri": "http:\/\/sugarcrm\/rest\/v10\/Contacts\/f2f9aa4d-99a8-e86e-f4d5-512d0986effa\/file\/attachment"
}
}
Change Log
| Version |
Change |
|
v10
|
Added /<module>/:record/file/:field PUT endpoint.
|


Eating Disorders
Every 62 minutes, at least one person dies due to eating disorders. As a result, eating Disorders have the highest mortality rate out of all mental illnesses. We together have to fight this statistic.
- You are not alone. There are support groups that want to help. The National Association of Anorexia Nervosa and Associated Disorders holds some and you can find one near you here.
Or you can join an online one here.
- You can read survivors' stories here.
- Take everything one step at a time. Take it one day, one meal, or even one moment at a time.
- Notice your eating disorder urges, and then practicing acting opposite to that urge.


| Trees | Indices | Toggle frames |
|---|
MouseCursor --+ | ImageMouseCursor
A user-defined mouse cursor created from an image.
Use this class to create your own mouse cursors and assign them to windows. There are no constraints on the image size or format.
|
__init__(self,
image,
hot_x=0,
hot_y=0)
Create a mouse cursor from an image.
|
|
|
draw(self,
x,
y)
Abstract render method.
|
drawable = True
Indicates if the cursor is drawn using OpenGL.
|
Abstract render method.
The cursor should be drawn with the "hot" spot at the given coordinates. The projection is set to the pyglet default (i.e., orthographic in window-space), however no other aspects of the state can be assumed.
| Trees | Indices | Toggle frames |
|---|
| Generated by Epydoc 3.0beta1 on Sun Mar 22 20:15:41 2009 | http://epydoc.sourceforge.net |


{% extends '../layouts/template.html' %}
{% block title %}Check my State Pension - User 01{% endblock %}
{% block serviceName %}Check my State Pension{% endblock %}
{% block main %}
{% include './breadcrumb.html' %}
{% include './start_text.html' %}
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GOV.UK Verify
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| Network Working Group | M. Kiessling |
| Internet-Draft | GALERIA Kaufhof GmbH |
| Intended status: Informational | J. Algermissen |
| Expires: January 1, 2016 | June 30, 2015 |
Web Event Sourcing - A Web-based protocol for event sourcing
draft-kiessling-web-eventsourcing-00
This document describes HTTP based event sourcing.
This draft should be discussed on the apps-discuss mailing list; see [apps-discuss].
This Internet-Draft is submitted in full conformance with the provisions of BCP 78 and BCP 79.
Internet-Drafts are working documents of the Internet Engineering Task Force (IETF). Note that other groups may also distribute working documents as Internet-Drafts. The list of current Internet-Drafts is at http://datatracker.ietf.org/drafts/current/.
Internet-Drafts are draft documents valid for a maximum of six months and may be updated, replaced, or obsoleted by other documents at any time. It is inappropriate to use Internet-Drafts as reference material or to cite them other than as "work in progress."
This Internet-Draft will expire on January 1, 2016.
Copyright (c) 2015 IETF Trust and the persons identified as the document authors. All rights reserved.
This document is subject to BCP 78 and the IETF Trust's Legal Provisions Relating to IETF Documents (http://trustee.ietf.org/license-info) in effect on the date of publication of this document. Please review these documents carefully, as they describe your rights and restrictions with respect to this document. Code Components extracted from this document must include Simplified BSD License text as described in Section 4.e of the Trust Legal Provisions and are provided without warranty as described in the Simplified BSD License.
TBD
The key words “MUST”, “MUST NOT”, “REQUIRED”, “SHALL”, “SHALL NOT”, “SHOULD”, “SHOULD NOT”, “RECOMMENDED”, “MAY”, and “OPTIONAL” in this document are to be interpreted as described in [RFC2119].
TBD
TBD
{ "uris": [ "/resourcesync/product/snapshot/2015-06-23T00:36:45.885Z/0", "/resourcesync/product/snapshot/2015-06-23T00:36:45.885Z/1", "/resourcesync/product/snapshot/2015-06-23T00:36:45.885Z/2", "/resourcesync/product/snapshot/2015-06-23T00:36:45.885Z/3", "/resourcesync/product/snapshot/2015-06-23T00:36:45.885Z/4", "/resourcesync/product/snapshot/2015-06-23T00:36:45.885Z/5", "/resourcesync/product/snapshot/2015-06-23T00:36:45.885Z/6" ], "completed":<PHONE_NUMBER>400, "started":<PHONE_NUMBER>885, "id": "2015-06-23T00:36:45.885Z" }
HTTP/1.1 200 OK Server: Tengine/2.1.0 Date: Tue, 23 Jun 2015 07:15:47 GMT Content-Type: multipart/package; boundary="_--------1435019846753" Content-Length: 3159122 Connection: keep-alive Content-Disposition: inline Content-Type: application/vnd.acme.product+json Content-Location: /products/16325906:001:99999 ETag: W/"12345678" Content-Length: 93 {"id":"16325906:001:99999","assets":[{"id":"930770","role":"spot"}, {"id":"9424","role":"1"}]} --_--------1435019846753 Content-Disposition: inline Content-Type: application/vnd.acme.product+json Content-Location: /product/16326538:001:99999 ETag: W/"85392992223" Content-Length: 93 {"id":"16326538:001:99999","assets":[{"id":"931862","role":"spot"}, {"id":"9425","role":"1"}]} --_--------1435019846753 Content-Disposition: inline Content-Type: application/vnd.acme.product+json Content-Location: /product/16326590:001:99999 ETag: W/"5524442218" Content-Length: 93 {"id":"16326590:001:99999","assets":[{"id":"914839","role":"spot"}, {"id":"9408","role":"1"}]} --_--------1435019846753 Content-Disposition: inline Content-Type: application/vnd.acme.product+json Content-Location: /product/16327887:001:99999 ETag: "7782882823" Content-Length: 193 {"id":"16327887:001:99999","assets":[{"id":"9517","role":"2"}, {"id":"919130","role":"spot"},{"id":"9518","role":"1"},{"id":"9514", "role":"5"},{"id":"9515","role":"3"},{"id":"9516","role":"4"}]} --_--------1435019846753--
A change event feed, or simply event feed, informs clients about changes to the items they already know, or about the addition of new items that were not previously known.
A feed is a collection of 1 or more multipart documents that together form one logical feed. Each part of the multipart document describes one event (called event entry from now on).
Each event entry in the feed MUST reference an existing resource on the server and describe the nature of the event that happened regarding that resource.
This referenced resource is the event target.
Event targets MUST be referenced via a link relation using the Link HTTP header, with a URI pointing to the targeted resource, and the rel attribute of the relation set to "about".
Producers MAY provide an additional link relation of type self which points to a resource that identifies the event entry itself.
See “Resuming feed consumption at a given event” below to learn how clients can use this relation to consume the feed more efficiently.
If a producer provides this link relation, it MUST provide them for all entries in the feed, and it MUST resolve GET requests to the related resources as follows:
Link relation is:
Link: </changes/1234>;rel="self"
Request is:
GET /changes/1234
Response is:
HTTP/1.1 302 Found Location: /changes/latest#1234
if the event still is located within the subscription document, and
HTTP/1.1 301 Moved Permanently Location: /changes/archive/985/#1234
if by now the event is located on an archived feed page.
This specification defines the Event-Type HTTP header to provide consumers of change event feeds with information about the nature of the event regarding the event target. The nature of the event MUST be declared for each event entry.
The Event-Type header takes as its value a key-value pair with the key indicating the event type family and the value indicating the event type name from the family.
Event feed publishers SHOULD only use events from a single family in a given feed.
This specification defines the event type family ‘http-equiv’. The allowed value set for this family is the set of unsafe HTTP methods, such as PUT, PATCH, DELETE, POST.
Consumers of http-equiv-typed events MUST process the event in the same way as they would process an HTTP request to the event target using the HTTP verb from the http-equiv set defined via the event type header.
For example, the following event feed entry:
Link: </products/7628827272>;rel="about" Event-Type: http-equiv=PUT Content-ID<EMAIL_ADDRESS>{"id":"1234", "name":"foo"}
MUST be treated by the consumer in the same way the consumer would treat a PUT request to the /products/7628827272 resource with a request body of {"id":"1234", "name":"foo"}.
Event feed publishers MUST guarantee the order and uniqueness of events in a feed, i.e., it must be guaranteed that within one feed (which can spread over many documents) each entry is identified by a unique id (via the Content-ID header), that newer (younger) events are added at the end of a feed document, and that events, as identified by their Content-ID, do not move in regards to their relative position to other events.
Example: A feed that consists of 3 entries at t1, and grows by the entry 48934 at t2, needs to be represented with the following entry order:
--------------------- time --------------------------------------> t1 t2 Feed order: Feed order: Content-ID<EMAIL_ADDRESS>Content-ID<EMAIL_ADDRESS>Content-ID<EMAIL_ADDRESS>Content-ID<EMAIL_ADDRESS>Content-ID<EMAIL_ADDRESS>Content-ID<EMAIL_ADDRESS>Content-ID<EMAIL_ADDRESS>In order to allow for efficient polling, feed publishers SHOULD make the feed available conditionally via the If-None-Match request header, and SHOULD therefore provide an ETag for the feed that changes if the feed content changes.
GET /products/changes/latest Accept: multipart/mixed 200 Ok Last-Modified: Sat, 11 Jan 2014 05:00:13 GMT ETag: "abc" Cache-Control: no-cache Link: </products/changes/2013/01/01/16>; rel="prev" Content-Type: multipart/mixed; boundary="gc0p4Jq0M:2Yt08jU534c0p" --gc0p4Jq0M:2Yt08jU534c0p Link: </products/7628827272>;rel="about" Link: </changes/1234>;rel="self" Event-Type: http-equiv=PUT Content-Type: application/vnd.gkh.product+json Last-Modified: Sat, 09 Jan 2014 15:02:23 GMT Content-ID<EMAIL_ADDRESS>Content-Length: nnn {"id":"..." , ... } --gc0p4Jq0M:2Yt08jU534c0p Link: </products/7623288273>;rel="about" Link: </changes/567>;rel="self" Event-Type: http-equiv=PATCH Content-Type: application/vnd.gkh.product-patch+xml Last-Modified: Sat, 09 Jan 2014 15:02:23 GMT Content-ID<EMAIL_ADDRESS>Content-Length: nnn <product-patch> <set-availability>AVAILABLE</set-availability> </product-patch> --gc0p4Jq0M:2Yt08jU534c0p Link: </products/3338827272>;rel="about" Link: </changes/899919>;rel="self" Event-Type: http-equiv=DELETE Last-Modified: Sat, 09 Jan 2014 15:02:23 GMT Content-ID<EMAIL_ADDRESS>Content-Length: 0 --gc0p4Jq0M:2Yt08jU534c0p--
TBD
We treat event feeds very much like archived feeds described in [RFC5005].
An event feed is a set of event feed documents that can be combined to accurately reconstruct the entries of a logical event feed.
This is achieved by publishing a single event subscription document and (potentially) many event archive documents.
An event subscription document is a feed document that always contains the most recently added entries available in the logical feed.
Event archive documents are feed documents that contain less recent entries in the feed. The set of entries contained in an archive document published at a particular URI SHOULD NOT change over time. Likewise, the URI for a particular archive document SHOULD NOT change over time.
The following link relations are used to tie subscription and archived feeds together:
Subscription documents and archive documents MUST have a “prev- archive” link relation, unless there are no preceding archives available. Archive documents SHOULD also have a “next-archive” link relation, unless there are no following archives available.
Archive documents SHOULD indicate their associated subscription documents using the “current” link relation.
Archive documents SHOULD also contain an fh:archive element in their head sections to indicate that they are archives. fh:archive is an empty element; this specification does not define any content for it.
In order to maintain a consistent state of the sourced entities, it is necessary that consumers adhere to the following processing rules for snapshots and feeds.
Snapshot generation takes a certain amount of time. The start and end timestamps are provided in the snapshot index. Consumers need to be aware that the snapshotted entities may change during the course of snapshot generation and that snapshots are not constrained to include any changes that happen during their creation.
In order to reach a consistent state after snapshot processing consumers SHOULD consume the event feed associated with the snapshot for the snapshot generation timeframe to update potentially changed entities.
When doing so, consumers SHOULD apply the following rules:
Snapshots should generally only be consumed for initialization or error recovery scenarios. Once an initial state has been obtained, consumers should process the associated change event feed to maintain an up-to-date state of the entities.
The following diagram shows how to initialize synchronization and how to continue synchronization after initialization:
t: Point in time R: Resource E: Event P: Process step Client Server | + t0: | t1: Start consuming ------> Serve snapshot: | E1 = PUT R1 | [P1] snapshot | | E2 = PUT R2 | | +-------------+ | E3 = PUT R3 | - Store each R in the | | | | | snapshot locally | | R1 | | t2: | - Store ts | | R2 | | E4 = PATCH R2 | | | R3 | | E5 = PUT R4 | | | | | | | | ts te | | | | +-------------+ | | | | R1 <-------------------------+ t3 v | R2 | | R3 | | | t4: Start consuming ------> Serve feed: | | feed | | +-------------+ | | - Find the oldest | | | | event that has | E1@t2 | | | Last-Modified >= ts, | E2@t2 | | | in this case this | E3@t0 | | t5: | is E4 | E4@t0 | | E6 = PATCH R4 R1 <-+ - Process E4, and all | E5@t0 | | E7 = DELETE R1 R2' | events that are younger | | | R3 | (in this case, E5) +-------------+ | R4 | - However, if an event is | | of type PATCH, do not handle | | the PATCH itself, but instead | | retrieve the current state of | | the targeted resource via GET | | on the resource URI | | - Store Content-ID of the | | event that was processed | | last - in this case, E5 | | | | t6: Start consuming ------> Serve feed: | | [P2] feed | | +-------------+ | | - Find the event with the | | | | Content-ID we stored, | E1@t5 | | | in this case E5 | E2@t5 | | R2' <-+ - Process all events | E3@t2 | | R3 | that are younger than | E4@t2 | | R4' | the found event, in this | E5@t0 | | | case E6 and E7 | E6@t0 | | | - Store Content-ID of the | E7@t0 | | | event that was processed | | | | last - in this case, E7 +-------------+ | | - Repeat at P2; in case of | v of a local disaster, purge v all local data and start at P1 Order of events: t0 < ts < t1 < t2 < te < t3 < t4 < t5 < t6
If the client received (and stored) a self link relation for the events it retrieved, it can use this relation to more efficiently resume further feed consumption (compared to always entering via the subscription document and working backwards from there).
If the link relation of the event last processed by the client was
Link: </changes/6>;rel="self"
then the client can request the URI in the relation:
GET /changes/6
The producer MUST then redirect the consumer to the full document containing the referenced event. If the feed is currently structured like this:
/arch/0 /arch/1 /arch/2 /latest +---+ +---+ +---+ +---+ | <-----P <-----P <-----P | | | | | | | | | | 0 | | 2 | | 5 | | | | 1 | | 3 | | 6 | | 8 | | | | 4 | | 7 | | 9 | | | | | | | | | | N-----> N-----> N-----> | +---+ +---+ +---+ +---+
then the consumer will be redirected to /arch/2#6, where he will find the event with content id 6, and can work forward within the multipart document and via the next-archive link relation to consume and process all events that came after event 6.
TBD
| [RFC2119] | Bradner, S., "Key words for use in RFCs to Indicate Requirement Levels", BCP 14, RFC 2119, March 1997. |
| [RFC4229] | Nottingham, M. and J. Mogul, "HTTP Header Field Registrations", RFC 4229, December 2005. |
| [RFC5005] | Nottingham, M., "Feed Paging and Archiving", RFC 5005, September 2007. |
| [RFC7231] | Fielding, R. and J. Reschke, "Hypertext Transfer Protocol (HTTP/1.1): Semantics and Content", RFC 7231, June 2014. |
| [apps-discuss] | IETF, "IETF Apps-Discuss Mailing List", n.d.. |
| [ResourceSync] | NISO, "ResourceSync Framework Specification", n.d.. |
| [RFC5789] | Dusseault, L. and J. Snell, "PATCH Method for HTTP", RFC 5789, March 2010. |
| [WebPackaging] | Jeni Tennison, . and W3C, "Packaging on the Web", n.d.. |
Thanks to TBD
TBD


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Lecture 9 - Corporate Stocks
Overview
Professor Shiller emphasizes the worldwide importance of corporations by looking at World Bank data for corporate stocks as traded on global stock markets. He then turns his attention to the concept of a corporation, elaborating on the role of shareholders, the board of directors, and the Chief Operating Officer. Following this, he compares and contrasts for-profit and nonprofit corporations. Next, he discusses equity financing of for-profit corporations, covering market capitalization, dividends, share repurchases, dilution, and the difference between common and preferred shares. In addition, he discusses and rejects claims that share issuance is not really important for capital raising in modern times. Professor Shiller concludes this lecture with a discussion of the balance sheets of two well-known corporations, Xerox and Microsoft.
Assignment
Fabozzi, Foundations of Financial Markets, Ch. 17, 18
Course Media
Lecture Chapters
- Introduction [00:00:00]
- Professor Shiller's Personal Experiences of Founding a Corporation [00:00:55]
- Worldwide Importance of Corporate Stocks [00:05:05]
- The Structure of a Corporation [00:15:46]
- Corporate Financing through Equity [00:28:28]
- Different Forms of Corporate Financing [00:37:10]
- The Interplay between Corporate Decisions and Financial Markets [00:46:56<]
- The Balance Sheets of Xerox and Microsoft [00:58:54]


PONG RL
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