isOdd :: Int -> Bool
isOdd x = (x `mod` 2) /= 0
Distill some of the more difficult terms in functional programming, show it in Haskell and on as many possible languages of the JVM
Int
- Bounded IntegerInteger
- Unbounded IntegerFloat
- Floating PointDouble
- Double PrecisionBool
- BooleanChar
- Character (String are list of chars)Tuples
- Types surrounded by parenthesisisOdd :: Int -> Bool
isOdd x = (x `mod` 2) /= 0
mod
with the backticks?First off, here is the signature.
What the hell is a
?
mod :: Integral a => a -> a -> a
Take 2, and Returns 1
(mod 5 2)
This would work and return 1
Since it is a Take 2 and Return 1…
5 `mod` 2
Specifying the types before the method
sumThree :: Int -> Int -> Int -> Int
|---- Take 3-----|
sumThree
sumThree :: Int -> Int -> Int -> Int
sumThree x y z = x + y + z
To actually run sumThree
sumThree 1 2 3
Note: x
, y
, z
is pattern matched
Another way to look at sumThree
is through currying…
sumThree :: Int -> Int -> Int -> Int
sumThree x y z = x + y + z
I can partially apply sumThree
let f = sumThree 2 1
f(4) -- 7
myHead :: [a] -> a
myHead [] = error "empty list"
myHead [x] = x
myHead (x:xs) = x
This is analogous to in Java:
public A <A> myHead(List<A> list) {...}
filter (\x -> x `mod` 2 /= 0) [1,2,3,4]
Becomes:
[1,3]
Remember this?
isOdd :: Int -> Bool
isOdd x = (x `mod` 2) /= 0
We can apply it to as a function, since it is a function!
filter f [1,2,3,4]
Evaluates to…
[1,3]
map (\x -> x * 3) [1,2,3,4]
Becomes:
[3,6,9,12]
map (3*) [1,2,3,4]
Becomes:
[3,6,9,12]
map :: [a] -> (a -> b) -> [b]
This is a higher order function!
Note: b
can represent another type
map
again…map (3*) [1,2,3,4]
Since b
can be another type, therefore we can do…
map (\i -> "Hello " ++ show i) [1,2,3,4]
Evaluates to…
["Hello 1", "Hello 2", "Hello 3", "Hello 4"]
FYI: Show converts anything to String when it can.
myZipWith :: (a -> b -> c) -> [a] -> [b] -> [c]
myZipWith _ [] _ = []
myZipWith _ _ [] = []
myZipWith f (x:xs) (y:ys) = f x y : myZipWith f xs ys
Simple Case:
myZipWith (+) [1,2,3] [4,5,6]
Evaluates To:
[5, 7, 9]
Higher Difficulty Case:
let a = [1,2,3,4,5,6]
let b = ["Rock", "Jazz", "Country", "Salsa", "Polka", "Hip Hop"]
putStrLn (show $ myZipWith (\i s -> s ++ " " ++ show i) a b)
Not really a higher order function but close a function into a method…
static <A,B,C> Stream<C> zip(Stream<? extends A> a,
Stream<? extends B> b,
BiFunction<? super A,? super B,? extends C> zipper)
How do we use it?
let a = Arrays.asList(1,2,3,4,5,6);
let b = Arrays.asList("Rock", "Jazz", "Country",
"Salsa", "Polka", "Hip Hop");
Streams.zip(a.stream(),
b.stream(),
(x, y) -> y + " " + x).
collect(Collectors.toList())
Note: Using it wasn’t bad, but if you had to create your own zip
, rough
val a = List(1,2,3,4,5,6)
val b = List("Rock", "Jazz", "Country", "Salsa", "Polka", "Hip Hop")
a.zip(b).map{case (i,s) => s + " " + i}
def a = [1,2,3,4,5,6]
def b = ["Rock","Jazz","Country","Salsa","Polka","Hip Hop"]
[a,b].transpose().collect{x -> x[1] + " " + x[0]}
(def a [1 2 3 4 5 6])
(def b ["Rock" "Jazz" "Country" "Salsa" "Polka" "Hip Hop"])
(map #(str %2 " " %1) a b)
interface Eq <A> {
public boolean equals (A a, A b);
default public boolean notEquals (A a, A b) {
return !equals(a,b)
}
}
Eq
and say for type Cow
package com.example.cowtypeclasses
public class CowEquivalenceByName implements Eq<Cow> {
public boolean equals (Cow a, Cow b) {
a.getName().equals(b.getName());
}
}
In other words…
import
this CowEquivalence
when ever we need to strategically use it.If we have the ability to create both classes in the same package (Java doesn’t do this I know)
package com.example.cowtypeclasses
public class CowEquivalenceByName {...}
public class CowEquivalenceByWeight {...}
In some random method in some other package…I can do
public void foo(Cow a, Cow b) {
import com.example.cowtypeclasses.CowEquivalenceByWeight
a.equals(b); //true if equal weight!
}
That’s a type class!
First off:
What Haskell has are "Algebraic Data Types"!
data GameResult = Win | Loss | Tie
Eq
type class look like?This is already built into Haskell
class Eq a where
(==) :: a -> a -> Bool
(/=) :: a -> a -> Bool
x == y = not (x /= y)
x /= y = not (x == y)
Warning: class
is not a Java class
. It is a type class!
instance
of the type class:instance Eq GameResult where
Win == Win = True
Loss == Loss = True
Tie == Tie = True
_ == _ = False
Warning: By instance we don’t mean an object we mean "an implementation" of the type class
(Win == Win) -- True
(Loss == Win) -- False
trait Eq[a] {
def eq(a1: a)(a2: a): Boolean
}
sealed abstract class GameResult
final case object Win extends GameResult
final case object Loss extends GameResult
final case object Tie extends GameResult
implicit class GameResult extends Eq[GameResult] {
def eq(a1:GameResult, a2:GameResult) = (a1, a2) match {
case (Win, Win) => true
case (Loss, Loss) => true
case (Tie, Tie) => true
case _ => false
}
}
def newIsEquals(x:GameResult, y:GameResult)(implicit val eq:Eq[GameResult]) = {
eq(x)(y)
}
(defprotocol Eq
(equal-to [x y])
(not-equal-to [x y])
)
(extend-type clojure.lang.Keyword
Eq
(equal-to [x y] (= x y))
(not-equal-to [x y] (not= x y))
)
(println (equal-to :Win :Win))
(println (equal-to :Loss :Loss))
(println (equal-to :Tie :Tie))
(println (equal-to :Win :Loss))
Eq
type class for various types!(1 == 4)
This works because there is an instance
of Eq Int
("Hello" == "Hello")
This works because there is an instance
of Eq String
(Win == Win)
This works because we said so and is an instance
of Eq GateResult
class (Eq a) => Ord a where
(<), (<=), (>=), (>) :: a -> a -> Bool
max, min :: a -> a -> a
Prelude> :t 4
4 :: Num a => a
Prelude> :t "What is love? Baby don't hurt me"
"What is love? Baby don't hurt me" :: [Char]
Kinds are a description of the type
Prelude> :k Int
Int :: *
"In order to create a type Int, how many extra things do we need?"
Maybe
TypeAlgebraic Data Type of Maybe
data Maybe a = Nothing | Just a
Prelude> Just 3
Just 3
Prelude> Just "Blueberry Pancakes"
Just "Blueberry Pancakes"
Prelude> Nothing
Nothing
Prelude> Just 10 :: Maybe Double
Just 10.0
Maybe
Prelude> :t Just "Blueberry Pancakes"
Just "Blueberry Pancakes" :: Maybe [Char]
Prelude> :t Just 90
Just 90 :: Num a => Maybe a
Maybe
First off, remember this signature…
data Maybe a = Nothing | Just a
Prelude> :k Maybe
Maybe :: * -> *
Prelude> :k Maybe Int
Maybe Int :: *
Either
typedata Either a b = Left a | Right b
Prelude> Left 10
Left 10
Prelude> :t Left 10
Left 10 :: Num a => Either a b
What do you think the unsatisfied kind is of Either
?

[]
Prelude> :k []
[] :: * -> *
Prelude> :k [Int]
[Int] :: *
Functor
Type ClassThis is where things get "kind" of hard
class Functor f where
fmap :: (a -> b) -> f a -> f b
f
has a requirement, what kind does f
have to be?
 It’s up to us now to find a kind of * -> *!
kind
of Maybe
Reminder #1:
data Maybe a = Nothing | Just a
Reminder #2:
class Functor f where
fmap :: (a -> b) -> f a -> f b
Reminder #3:
Prelude> :k Maybe
Maybe :: * -> *
Well that’s what we need a kind of * → *
!
instance Functor Maybe where
fmap f (Just x) = Just (f x)
fmap f Nothing = Nothing
Maybe
Functor
fmap (\x -> x * 14) (Just 19)
Results in:
Just 266
I could’ve written it like this…
fmap (14*) (Just 19)
Now, trying with Nothing
fmap (22+) Nothing
Results in:
Nothing
Reminder of the kind of []
Prelude> :k []
[] :: * -> *
It works! Therefore to make it a Functor
:
instance Functor [] where
fmap f xs = map f xs
or
instance Functor[] where
fmap = map
Therefore fmap
and map
should work the same
Prelude> fmap (12*) [1,2,3,4,5]
[12,24,36,48,60]
Prelude> map (12*) [1,2,3,4,5]
[12,24,36,48,60]
Reminder of the Algebraic Data Type
data Either a b = Left a | Right b
The problem with Either
is that it’s kind is..
Prelude> :k Either
Either :: * -> * -> *
and it is not * -> * like we need it to be, therefore we need satisfy one half of the kind pattern.
instance Functor (Either a) where
fmap f (Right x) = Right (f x)
fmap f (Left x) = Left x
Reminder:
class Functor f where
fmap :: (a -> b) -> f a -> f b
Either
Functor
Prelude> fmap ("Nice " ++) (Right "Code")
Right "Nice Code"
Prelude> fmap (20*) (Left 30)
Left 30
public F<B> <A, B, F extends Functor> fmap(x:A, f:F<A>) {
....
}
But we can’t. We cannot do F<B> because F is unknown, and java needs that. F is what is known as a Higher Kinded Type
trait Functor[F[_]] { self =>
def map[A, B](fa: F[A])(f: A => B): F[B]
}
implicit object ListFunctor extends Functor[List] {
override def map[A, B](fa: List[A])(f: (A) => B): List[B] = fa.map(f)
}
implicit object OptionFunctor extends Functor[Option] {
override def map[A, B](fa: Option[A])(f: (A) => B): List[B] = fa match {
case Some(x) => Some(f(x))
case None => None
}
}
/* Power play! I only need to declare once! Remember ad-hoc polymorphism! */
def fmap[A, B, C[_]](f:A => B)(coll:C[A])(implicit functor:Functor[C]) =
functor.map(coll)(f)
fmap(x => x + 2)(List(1,2,3,4)) //List(3,4,5,6)
fmap(x => x + 2)(Some(100)) //Some(102)
fmap(x => x + 19)(None) //None
fmap (+) (Just 10)
Turns into:
(Just ((+) 10))
Which is the same as:
(Just (10+))
Where the type is:
:t Maybe(Int -> Int)
fmap (+) [1,2,3,4,5]
Where the type is…
:t [Integer -> Integer]
or
fmap (\x y z -> x + y + z) [1,2,3,4,5]
Where the type is…
:t [Integer -> Integer -> Integer]
What if we wanted to do…
op Just(4*) Just(5)
so we can get Just(9)
?
class (Functor f) => Applicative f where
pure :: a -> f a
(<*>) :: f (a -> b) -> f a -> f b
Note: Applicatives are Functors
pure
babypure
babypure 5 :: Maybe Int
pure 3 :: Either String Int
Will return:
Right 3
<*>
and fmap
fmap :: (a -> b) -> f a -> f a
<*> :: f (a -> b) -> f a -> f b
<*>
looks like<*>
looks like<*> Just(*3) Just 4
<*>
looks likeJust(*3) <*> Just 4
pure (+) <*> Just 3 <*> Just 5
pure (*) <*> Nothing <*> Just 9
instance Applicative [] where
pure x = [x]
fs <*> xs = [f x | f <- fs, x <- xs]
pure 3 :: [Int]
Converts to:
[3]
pure "Dance" : [String]
Converts to:
["Dance"]
Note: String
is an alias for [Char]
<*>
?The signature is
fs <*> xs = [f x | f <- fs, x <- xs]`
This is called a for comprehesion
[(1*), (2+)] <*> [3, 9]
[3, 9, 5, 11]
[(+), (*)] <*> [4,5] <*> [1,9]
Taking it in parts
[(+4), (+5), (*4), (*5)] <*> [1,9]
[5, 13, 6, 14, 4, 36, 5, 45]
trait Applicative[F[_]] {
def pure[A](a:A):F[A]
def apply[A, B](fa: F[A])(f:F[A=>B]):F[B]
}
implicit object ListApplicative extends Applicative[List] {
override def pure[A] (a:A) = List(a)
override def apply[A, B](xs: List[A])(fs: List[A => B]): List[B] =
for (f <- fs;
x <- xs) yield f(x)
}
implicit object OptionApplicative extends Applicative[Option] {
override def pure[A] (a:A) = Some(a)
override def apply[A, B](fa: Option[A])(f: Option[A => B]): Option[B] = (f, fa) match {
case (None, _) => None
case (_, None) => None
case (Some(f), Some(i)) => Some(f(i))
}
}
def applicate [A, B, C[_]](f:C[A => B])(coll: C[A])(implicit applicative:Applicative[C]) = {
applicative.apply(coll)(f)
}
println(applicate(Some((x:Int) => x * 4):Option[Int => Int])(Some(5):Option[Int]))
println(applicate(List((x => x + 1), (x => x + 4)):List[Int => Int])(List(3, 9)))
Some(20)
List(4,10,7,13)
`3 * 4`
`2 + 10`
((r + s) + t) or (r + (s + t))
class Monoid m where
mempty :: m
mappend :: m -> m -> m
mconcat :: [m] -> m
mconcat = foldr mappend mempty
mempty `mappend` x = x
x `mappend` mempty = x
(x `mappend` y) `mappend` z = x `mappend` (y `mappend` z)
instance Monoid [a] where
mempty = []
mappend = (++)
Prelude> [1,2,3] `mappend` [4,5,6]
[1,2,3,4,5,6]
Prelude> "What's" `mappend` "cool"
What'scool
Prelude> mempty::[String]
[]
Prelude> mempty::[Int]
[]
Prelude> mempty::String
""
Prelude> mconcat [[1,2], [3,5,6,7,10], [12, 19]]
[1,2,3,5,6,7,10,12,19]
foldr
?Prelude> let g = foldr (+) 0
Prelude> g [1,2,3,4,5]
15
Repeating from the previous slide
Prelude> mconcat [[1,2], [3,5,6,7,10], [12, 19]]
[1,2,3,5,6,7,10,12,19]
trait Monoid[A] {
def op(a1: A, a2: A): A
def zero: A
}
val stringMonoid= new Monoid[String] {
def op(a1: String, a2: String) = a1 + a2
val zero = ""
}
def listMonoid[A] = new Monoid[List[A]] {
def op(a1: List[A], a2: List[A]) = a1 ++ a2
val zero = Nil
}
fmap :: (Functor f) => (a -> b) -> f a -> f b
(<*>) :: (Applicative f) => f (a -> b) -> f a -> f b
fmap :: (Functor f) => (a -> b) -> f a -> f b
(<*>) :: (Applicative f) => f (a -> b) -> f a -> f b
(>>=) :: (Monad m) => m a -> (a -> m b) -> m b
(>>=) :: (Monad m) => m a -> (a -> m b) -> m b
class Monad m where
return :: a -> m a
(>>=) :: m a -> (a -> m b) -> m b
(>>) :: m a -> m b -> m b
x >> y = x >>= \_ -> y
fail :: String -> m a
fail msg = error msg
return
?pure
in Applicative, take an item and put into a context or containerreturn 4 :: Maybe Int
Evaluates To…
Just 4
return 4 :: [Int]
Evaluates To..
[4]
(>>=) :: m a -> (a -> m b) -> m b
How we will invoke as such:
ma >>= (a -> m b)
Bind will take one monad, and a function that will return a monad of another type, and provide some result
fail
return
will provide a Monad of it’s simplest formfail
will return a monad representing failure(>>)
will take two monads, and determine with one to pass on down.The signature is:
(>>) :: m a -> m b -> m b
x >> y = x >>= \_ -> y
instance Monad Maybe where
return x = Just x
Nothing >>= f = Nothing
Just x >>= f = f x
fail _ = Nothing
Prelude> Just 4 >>= \x -> return (3*x)
Just(12)
Prelude> Nothing >>= \x -> return(x + 100)
Nothing
Prelude> fail "Help" :: Maybe Int
Nothing
Prelude> Just 10 >>= (\x -> Just (show x ++ "!"))
Just "10!"
Prelude> Just 10 >>= (\x -> Just "!" >>= (\y -> Just (show x ++ y)))
Just "10!"
Both of the above, are longer than…
Prelude> let x = 3; y = "!" in show x ++ y
Prelude> Nothing >>= (\x -> Just "!" >>= (\y -> Just (show x ++ y)))
Nothing
Prelude> Just 3 >>= (\x -> Nothing >>= (\y -> Just (show x ++ y)))
Nothing
Prelude> Just 3 >>= (\x -> Just "!" >>= (\y -> Nothing))
Nothing
We are able to convert this…
monadStack :: Maybe String
monadStack = Just 3 >>= (\x ->
Just "!" >>= (\y ->
Just (show x ++ y)))
to this…
monadStackWithDo :: Maybe String
monadStackWithDo = do
x <- Just 3
y <- Just "!"
Just (show x ++ y)
This is called "Monad Comprehension"
firstChar :: Maybe Char
firstChar = do
(x:xs) <- Just "hello"
return x
Here is the definition of a list monad..
instance Monad [] where
return x = [x]
xs >>= f = concat (map f xs)
fail _ = []
And here is how we use it…
[3,4,5] >>= \x -> [x,-x]
[3,-3,4,-4,5,-5]
Should be very similar to the Maybe Monad
Prelude> [] >>= \x -> [1,2,3]
[]
Prelude> [1,2,3] >>= \x -> []
[]
Prelude> [10,11,12] >>= (\x -> [x + 1, x + 2, x + 3])
[11,12,13,12,13,14,13,14,15]
Here is Flat Map in Java 8!
Arrays.asList(10, 11, 12).stream().flatMap(x -> Arrays.asList(x + 1, x + 2, x + 3).stream()).collect(Collectors.toList());
[11, 12, 13, 12, 13, 14, 13, 14, 15]
List(10, 11, 12).flatMap(x => List(x + 1, x + 2, x + 3))
[11, 12, 13, 12, 13, 14, 13, 14, 15]
Like a Maybe Monad
Some(4).flatMap(x => Some(3 + x))
Some(7)
main = do
x <- return("Hello ")
y <- return("World")
putStrLn (x ++ y)
is the same as
main = do
return("Hello ") >>= \x ->
return("World") >>= \y ->
putStrLn(x ++ y)
Note: This is perhaps the single reason why Haskell is always so hard to get started!
val future1 = Future {
Thread.sleep(3000)
180 / 2
}
val future2 = Future {
Thread.sleep(3000)
90 / 3
}
val result = future1.flatMap {
x =>
future2.map {
y =>
x + y
}
}


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A prime number is a number with exactly two factors, which are one, and itself.
2 has the factors 1 and 2;
3 has the factors 1 and 3;
5 has the factors 1 and 5;
11 has the factors 1 and 11
Numbers which are not prime are called composite numbers.


--- layout: syllabus title: syllabus - skills ---
Last updated: 2013-03-03 15:55 UTC
Make
)yum
, upgrade with fedup
and preupgrade
vmx
filestf
virtualenv
pip
PRAGMA synchronous
to change file flush policy and impact of transactions on performancePRAGMA integrity_check
to ensure the database is not corruptbcp
(through SQLAzureMW) to copy huge amounts of data between databasesed
and .NETsed
vi
media
) to apply CSS elements depending on device capabilities (for responsive web design)


cube
cubeRandom
block
cubeStop
cubeHide
cubeSize
horizontal
showBars
showBarsRandom
tube
fade
fadeFour
paralell
blind
blindHeight
blindWidth
directionTop
directionBottom
directionRight
directionLeft
cubeStopRandom
cubeSpread


---
layout: default
---
{% include sections/header.html %}
{% include sections/resources.html %}
New! 赞助 PrivacyTools，推广您的品牌并创造一个没有大规模监控的世界!
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{% include sponsors/gold.html %}
{% include sections/quotes.html %}
{% include sections/privacy-resources.html %}
{% include sections/participate.html %}


Posted on February 14, 2013
Posted on February 7, 2013
Posted on January 29, 2013
Posted on January 28, 2013


Library: Iterators
Function
A function that computes the distance between two iterators
#include <iterator> namespace std { template <class ForwardIterator> iterator_traits<ForwardIterator>::difference_type distance(ForwardIterator start, ForwardIterator finish); template <class ForwardIterator, class Distance> void distance(ForwardIterator start, ForwardIterator finish, Distance& n); }
The distance() function template computes the distance between two iterators. The first version returns that value, while the second version increments n by that value. The last iterator must be reachable from the first iterator.
Note that the second version of this function is obsolete. It is included for backward compatibility and to accommodate compilers that do not support partial specialization. The first version of the function is not available with compilers that do not support partial specialization, since it depends on iterator_traits, which itself depends on that particular language feature.
// // distance.cpp // #include <iterator> #include <iostream> #include <vector> int main () { // Typedefs for convenience. typedef std::vector<int, std::allocator<int> > vector; typedef std::ostream_iterator<vector::value_type, char, std::char_traits<char> > os_iter; // Initialize a vector using an array. const vector::value_type arr [] = { 3, 4, 5, 6, 7, 8 }; const vector v (arr + 0, arr + sizeof arr/ sizeof *arr); // Declare a vector iterator, s.b. a ForwardIterator. vector::const_iterator it = v.begin () + 3; // Output the original vector. std::cout << "For the vector: "; std::copy (v.begin (), v.end (), os_iter (std::cout, " ")); std::cout << std::endl; std::cout << "\nWhen the iterator is initialized " << "to point to " << *it << std::endl; // Compute the distance of it from the first element. vector::difference_type dist = 0; std::distance (v.begin (), it, dist); std::cout << "The distance between the beginning and " << *it << " is " << dist << std::endl; return 0; } Program Output:
For the vector: 3 4 5 6 7 8 When the iterator is initialized to point to 6 The distance between the beginning and 6 is 3
If your compiler does not support partial specialization, you can't use the version of distance() that returns the distance. Instead, you must use the version that increments a reference parameter.
Sequences, Random Access Iterators
ISO/IEC 14882:1998 -- International Standard for Information Systems -- Programming Language C++, Section 24.3.4


Cranes
问题描述 :
A crane is a wonderful tool for putting up a building. It makes the job go very quickly. When the building must go up even faster, more than one crane can be used. However, when there are too many cranes working on the same building, it can get dangerous. As the cranes spins around, it can bump into another crane if the operator is not careful. Such an accident could cause the cranes to fall over, possibly causing major damage. Therefore, safety regulations require cranes to be spaced far enough apart so that it is impossible for any part of a crane to touch any part of any other crane. Unfortunately, these regulations limit the number of cranes that can be used on the construction site, slowing down the pace of construction. Your task is to place the cranes on the construction site while respecting the safety regulations.
The construction site is laid out as a square grid. Several places on the grid have been marked as possible crane locations. The arm of each crane has a certain length r, and can rotate around the location of the crane. The crane covers the entire area that is no more than r units away from the location of the crane. You are to place the cranes to maximize the total area covered by all the cranes.
输入:
The first line of each test chunk contains one integer specifying the number of test cases in this chunk to follow. Each test case begins with a line containing an integer C, the number of possible locations where a crane could be placed. There will be no more than 15 such locations. Each of the following C lines contains three integers x, y, and r, all between -10 000 and 10 000 inclusive. The first two integers are the grid coordinates of the location, and the third integer is the length of the arm of the crane that can be placed at that location.
Please process to the end of the data file.
Please process to the end of the data file.
输出:
The first line of each test chunk contains one integer specifying the number of test cases in this chunk to follow. Each test case begins with a line containing an integer C, the number of possible locations where a crane could be placed. There will be no more than 15 such locations. Each of the following C lines contains three integers x, y, and r, all between -10 000 and 10 000 inclusive. The first two integers are the grid coordinates of the location, and the third integer is the length of the arm of the crane that can be placed at that location.
Please process to the end of the data file.
Please process to the end of the data file.
样例输入:
1 3 0 0 4 5 0 4 -5 0 4 1 3 0 0 4 5 0 4 -5 0 4
样例输出:
32 32
/* * 题意：给出一个带权值的矩阵，从左上角走 * 到右下角，问怎样走才能使总权值最大； * 行走的要求 ：如果当前格子是（x,y）， * 下一步可以是（x+1,y），(x,y+1)或者(x,y*k) 其中k>1。 * * 思路：DP，状态转移方程: * sum[i][j]=max{sum[i-1][j],sum[i][k]}+v[i][j]; * 其中1<=k<=j-1,且k是j的因子或k=j-1，即向右走一格 * */ #include<stdio.h> #define MIN -10000000 int num[22][1002],n,m; int dp[22][1002]; void initi() { for(int i=0;i<=m;i++) dp[0][i]=MIN; for(int i=0;i<=n;i++) dp[i][0]=MIN; } int getMax(int x,int y) { int Max=dp[x][y-1]; if(dp[x-1][y]>Max) Max=dp[x-1][y]; if(x==1&&y==1) return 0; for(int i=1;i<y;i++) { if(y%i==0) if(dp[x][i]>Max) Max=dp[x][i]; } return Max; } int main() { int T; scanf("%d",&T); while(T--) { int i,j; scanf("%d%d",&n,&m); initi(); for(i=1;i<=n;i++) for(j=1;j<=m;j++) scanf("%d",&num[i][j]); dp[1][1]=num[1][1]; for(i=1;i<=n;i++) for(j=1;j<=m;j++) dp[i][j]=num[i][j]+getMax(i,j); printf("%d\n",dp[n][m]); } return 0; }
解题参考：http://blog.csdn.net/joy_go/article/details/7974598
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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
漂亮。佩服。
P.S. unsigned 应该去掉。换行符是n 不是/n
还可以稍微优化一下，
int main() {
int m,n,ai,aj,bi,bj,ak,bk;
while (scanf("%d%d",&m,&n)!=EOF) {
ai = sqrt(m-1);
bi = sqrt(n-1);
aj = (m-ai*ai-1)>>1;
bj = (n-bi*bi-1)>>1;
ak = ((ai+1)*(ai+1)-m)>>1;
bk = ((bi+1)*(bi+1)-n)>>1;
printf("%dn",abs(ai-bi)+abs(aj-bj)+abs(ak-bk));
}
}
嗯 分析得很到位，确实用模板编程能让面试官对你的印象更好。在设置辅助栈的时候可以这样：push时，比较要push的elem和辅助栈的栈顶，elem<=min.top()，则min.push(elem).否则只要push（elem）就好。在pop的时候，比较stack.top()与min.top(),if(stack.top()<=min.top()),则{stack.pop();min.pop();}，否则{stack.pop();}.
这个分析相当全面，经典！
受益匪浅！！
不错，再多来的CF上面的题
因为要修改链表头(指针)，所以要用指针的指针
补充：此算法求出的不一定是最优解，之前理解错了
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
为避免精度问题，PI值请使用arccos(-1)。应该是acos
确实有点难度，搞了好久。int溢出要注意
不错，再多来的CF上面的题
顶一个 赞一个


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I'm a committed and creative graduate in Web Technology/Development with strong design, coding and problem solving skills to create fresh, dynamic and user-friendly web content.
I'm passionate about anything and everything creative from art, music, film, fashion, literature, technology, etc. I love learning new skills and mentoring others. I'm a former Child and Youth Worker with a great deal of compassion and a strong desire to create positive change in society. I'm a huge mental health advocate and use blogging and social media as a creative outlet to share my experiences.
I enjoy writing stories as well as drawing and painting on my spare time. Nature is where I draw the majority my creative inspiration from.


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List of Descriptors¶
For two-phase morphology, GraSPI
computes the following set of descriptors:
STAT_n
- number of verticesSTAT_e
- number of interface edgesSTAT_n_D
- number of black verticesSTAT_n_A
- number of white verticesSTAT_CC_D
- number of black connected componentsSTAT_CC_A
- number of white connected componentsSTAT_CC_D_An
- number of black connected components connected to topSTAT_CC_A_Ca
- number of white connected components connected to bottomABS_wf_D
- weighted fraction of black verticesABS_f_D
- fraction of black verticesDISS_f10_D
- fraction of black vertices in 10 distance to interfaceCT_f_e_conn
- fraction of interface with complementary paths to bottom and topCT_f_conn_D_An
- fraction of black vertices connected to topCT_f_conn_A_Ca
- fraction of white vertices connected to bottomCT_e_conn
- number of interface edges with complementary pathsCT_e_D_An
- number of black interface vertices with path to topCT_e_A_Ca
- number of white interface vertices with path to bottomCT_f_D_tort1
- fraction of black vertices with straight rising paths (t=1)CT_f_A_tort1
- fraction of white vertices with straight rising paths (t=1)CT_n_D_adj_An
- number of black vertices in direct contact with top (An - top/anode)CT_n_A_adj_Ca
- number of white vertices in direct contact with bottom (Ca - bottom/cathode)
The name of each descriptor starts with the abbreviation of the step in the photovoltaic process in organic solar cells (OSC): light absorption (ABS), exciton dissociation (DISS), and charge transport (CT). We additionally compute few statistical descriptors (STATS). The extra information is intended to facilitate the modeling of structure-property maps in OSC.
Below we provide the definitions of all above descriptors. We refer to graph-centric terms defined in basic definitions (BD) section.
STAT_n
¶
STAT_n
is number of vertices in the morphology. It is the total number of vertices in the graph.
It simply the cardinality of set \(V\) (from BD).
STAT_e
¶
STAT_e
is the number of interface edges. It is the interfacial area,
this is the total number of edges in the graph
connecting BLACK and WHITE vertices. Three steps are involved:
Input: Given labeled, weighted, undirected graph \(G=(V,E,W,L,L_e)\).
Construct set of edges, \(I=\{e=(u,v)\in E\;|\; (L_e(e)=f)\;\land\; ( L(u)=BLACK \land L(v)=WHITE\}\).
Output: \(|I|\) – the cardinality of interface edges.
STAT_n_D
¶
STAT_n_D
- number of black vertices
Input: Given labeled, weighted, undirected graph, \(G=(V,E,W,L)\).
Identify set \(B\) of all (electron donor) black vertices.
Output: \(|B|\), where \(|.|\) is the cardinality of the set.
STAT_n_A
¶
STAT_n_A
- number of white vertices
Input: Given labeled, weighted, undirected graph, \(G=(V,E,W,L)\).
Identify set \(W\) of all (electron donor) black vertices.
Output: \(|W|\), where \(|.|\) is the cardinality of the set.
STAT_CC_D
¶
STAT_CC_D
- number of black connected components
Input: Given labeled, weighted, undirected graph, \(G=(V,E,W,L)\).
Construct vertex-induced subgraph, \(G'=(V',E')\), where \(V'=\{v \in V\}\) is a set of all BLACK vertices in \(V\), \(E'\) is a set of all edges between vertices in \(V'\).
Compute the set of connected components, \(C_B\), in \(G'\).
Output: \(|C_B|\).
STAT_CC_A
¶
STAT_CC_A
- number of white connected components
Input: Given labeled, weighted, undirected graph, \(G=(V,E,W,L)\).
Construct vertex-induced subgraph, \(G'=(V',E')\), where \(V'=\{v \in V\}\) is a set of all WHITE vertices in \(V\), \(E'\) is a set of all edges between vertices in \(V'\).
Compute the set of connected components, \(C_W\), in \(G'\).
Output: \(|C_W|\).
STAT_CC_D_An
¶
STAT_CC_D_An
- number of black connected components connected to top
Input: Given labeled, weighted, undirected graph, \(G=(V,E,W,L)\).
Reconstruct the neighborhood of RED vertex \(ngbr_R\) in \(G\).
Construct vertex-induced subgraph, \(G'=(V',E')\), where \(V'=\{v \in V\}\) is a set of all BLACK vertices in \(V\), \(E'\) is a set of all edges between vertices in \(V'\).
Compute the set of connected components, \(C_B\), in \(G'\).
Compute the set \(C_B^R\) of indices of connected components in \(ngbr_R\) using the set \(C_B\).
Output: \(|C_B^R|\).
CT_f_conn_D_An
¶
CT_f_conn_D_An
- fraction of black vertices connected to top
We use the same steps as in STAT_CC_D_An
. With one more step:
Let \(P\) be the union of all BLACK vertices in \(C_B^R\).
Output: \(|P|/|B|\), where \(B\) is the set of BLACK vertices.
STAT_CC_A_Ca
¶
STAT_CC_A_Ca
- number of white connected components connected to bottom
Input: Given labeled, weighted, undirected graph, \(G=(V,E,W,L)\).
Reconstruct the neighborhood of BLUE vertex \(ngbr_B\) in \(G\).
Construct vertex-induced subgraph, \(G'=(V',E')\), where \(V'=\{v \in V\}\) is a set of all WHITE vertices in \(V\), \(E'\) is a set of all edges between vertices in \(V'\).
Compute the set of connected components, \(C_W\), in \(G'\).
Compute the set \(C_W^B\) of indices of connected components in \(ngbr_B\) using the set \(C_W\).
Output: \(|C_W^B|\).
CT_f_conn_A_Ca
¶
CT_f_conn_A_Ca
- fraction of white vertices connected to bottom
We use the same steps as in STAT_CC_D_An
. With one more step:
Let \(P\) be the union of all WHITE vertices in \(C_W^B\).
Output: \(|P|/|B|\), where \(W\) is the set of WHITE vertices.
ABS_wf_D
¶
ABS_wf_D
- weighted fraction of black vertices
ABS_f_D
¶
ABS_f_D
- fraction of black vertices
Input: Given labeled, weighted, undirected graph, \(G=(V,E,W,L)\).
Identify set \(B\) of all BLACK vertices.
Output: \(|B|/|V|\), where \(|.|\) is the cardinality of the set.
DISS_f10_D
¶
DISS_f10_D
- fraction of black vertices in 10 distance to interface
This descriptor is constructed in three steps. First, we construct the subgraph induced by a set of BLACK and GREEN vertices. Next, using Dijkstra’s algorithm the shortest paths between GREEN vertex and all other vertices in the induced subgraph are determined. The distance is weighted by the physics-informed function (here: \(f(d)=exp(-d/L_d)\), where \(L_d\) is the exciton diffusion length). Formally:
Input: Given labeled, weighted, undirected graph \(G=(V,E,W,L)\).
Construct vertex-induced subgraph, \(G'=(V',E')\), where: \(V'\) is a set of all BLACK and GREEN vertices in \(V\), \(E'\) is a set of all edges between vertices in \(V'\).
Find all shortest paths in \(G'\) from GREEN vertex \(u' :math:\).
Identify vertex set \(V_d=\{v \in V'\;|\;\) (shortest_path(\(v\)) \(<d\)) \(\land (L(v) = BLACK)\}\). Shortest_path (\(v\)) denotes the distance between \(u\) and \(v\) in \(G'\).
Weight each distance \(d\) with the weighting function (\(f(d)=exp(-d/L_d)\)).
Output: \(\sum_{i=1..|B|} f(d)i)/|B|\), where \(|B|\) is the cardinality of a set that consists of BLACK vertices.
CT_f_e_conn
¶
CT_f_e_conn
- fraction of interface with complementary paths to bottom and top
We search for interface edges in the graph that connect BLACK and WHITE vertices (interface), where both vertices have paths to relevant electrodes (BLACK vertex has path to RED meta-vertex and WHITE vertex has path to BLUE meta-vertex). Formally,
Let \(G_B\) be the vertex-induced subgraph with BLACK and RED vertices.
Let \(G_W\) be the vertex-induced subgraph with WHITE and BLUE vertices.
Find a set \(I_c\subset I\) of interface edges in the graph, such that the path from the BLACK vertex to RED exists in \(G_B\) and the path from WHITE vertex to BLUE exists in \(G_W\).
This is computed using the following algorithm:
Input: Given labeled, weighted, undirected graph, \(G=(V,E,W,L)\).
Construct a filtered graph, \(G'=(V,E')\), where \(E'\) is a set of edges connecting vertices of the same color.
Let \(I\) be the set of all interface edges.
Identify connected components, \(C\), in \(G'\).
Compute subset \(R_r \subset C\) of all components \(c\in C\), such that \(c\) has BLACK vertices adjacent to RED in \(G\) (from
CT_f_conn_D_An
).Compute subset \(R_b \subset C\) of all components \(c\in C\), such that \(c\) has WHITE vertices adjacent to BLUE in \(G\) (from
CT_f_conn_A_Ca
).Identify subset, \(I_{rb} \subset I\) where BLACK vertex belongs to set of vertices in \(R_r\) and WHITE vertex belongs to set of vertices in \(R_b\).
Output: \(|I_{rb}|/|I|\).
This descriptor is formulated in a hierarchical way using CT_f_conn_D_An
and CT_f_conn_A_Ca
. This hierarchical construction is one additional
advantage of our graph-based approach. Moreover, the next descriptor is
computed using intermediate data from this descriptor.
CT_e_conn
¶
CT_e_conn
- number of interface edges with complementary paths
This descriptor is computed as an intermediate step in the algorithm from
CT_f_e_conn
. The number of interface edges is the cardinality of the set
\(|I_{rb}|\).
CT_e_D_An
¶
CT_e_D_An
- number of black interface vertices with path to top
This descriptor is computed as an analogous way as
CT_f_e_conn
.
Input: Given labeled, weighted, undirected graph, \(G=(V,E,W,L)\).
Construct a filtered graph, \(G'=(V,E')\), where \(E'\) is a set of edges connecting vertices of the same color.
Let \(I\) be the set of all interface edges.
Identify connected components, \(C\), in \(G'\).
Compute subset \(R_r \subset C\) of all components \(c\in C\), such that \(c\) has BLACK vertices adjacent to RED in \(G\) (from
CT_f_conn_D_An
).Compute subset \(R_b \subset C\) of all components \(c\in C\), such that \(c\) has WHITE vertices adjacent to BLUE in \(G\) (from
CT_f_conn_A_Ca
).Identify subset, \(I_{r} \subset I\) where BLACK vertex belongs to set of vertices in \(R_r\).
Output: \(|I_{r}|\).
CT_e_A_Ca
¶
CT_e_A_Ca
- number of white interface vertices with path to bottom
This descriptor is computed as an analogous way as
CT_f_e_conn
.
Input: Given labeled, weighted, undirected graph, \(G=(V,E,W,L)\).
Construct a filtered graph, \(G'=(V,E')\), where \(E'\) is a set of edges connecting vertices of the same color.
Let \(I\) be the set of all interface edges.
Identify connected components, \(C\), in \(G'\).
Compute subset \(R_r \subset C\) of all components \(c\in C\), such that \(c\) has BLACK vertices adjacent to RED in \(G\) (from
CT_f_conn_D_An
).Compute subset \(R_b \subset C\) of all components \(c\in C\), such that \(c\) has WHITE vertices adjacent to BLUE in \(G\) (from
CT_f_conn_A_Ca
).Identify subset, \(I_{b} \subset I\) where WHITE vertex belongs to set of vertices in \(R_b\).
Output: \(|I_{b}|\).
CT_f_D_tort1
¶
CT_f_D_tort1
- fraction of black vertices with straight rising paths (t=1)
Straight rising paths are paths with tortuosity one (\(t\)). Tortuosity is the ratio between the path length to the relevant electrode through morphology, and ideal straight path length to the electrode without any constraints. Tortuosity is computed for domains that are connected to relevant electrode. In case of this descriptor, the donor domains (BLACK vertices) connected to top boundary (RED meta-vertex) are considered.
The graph-based algorithm to compute the fraction is given below:
Input: Given labeled, weighted, undirected graph, \(G=(V,E,W,L)\).
Construct vertex-induced graph, \(G'=(V',E')\), where \(V'=\{v \in V\}\) is a set of all BLACK and RED vertices in \(V\), \(E'\) is a set of all edges between vertices in \(V'\).
Let \(V_B\subset V'\) be a set of BLACK vertices in \(V'\) in \(G\).
Find the shortest paths from the RED to all BLACK vertices in \(G'\) (filtered graph - step 2).
Find the shortest paths from the RED to all BLACK vertices in \(G\) (original graph).
For each BLACK vertex compute the tortuosity using the shortest paths from step 5 and 4.
Filter the set \(V_{Bt1}\) with all BLACK vertices that have the shortest path with \(t=1\).
Output: The fraction of BLACK vertices with straight rising paths \(|V_{Bt1}|/|V_B|\).
CT_f_A_tort1
¶
CT_f_A_tort1
- fraction of white vertices with straight rising paths (t=1)
Similar to previous descriptor, the acceptor domains (WHITE vertices) connected to bottom boundary (BLUE meta-vertex) are considered.
The graph-based algorithm to compute the fraction is given below:
Input: Given labeled, weighted, undirected graph, \(G=(V,E,W,L)\).
Construct vertex-induced graph, \(G'=(V',E')\), where \(V'=\{v \in V\}\) is a set of all WHITE and BLUE vertices in \(V\), \(E'\) is a set of all edges between vertices in \(V'\).
Let \(V_W\subset V'\) be a set of WHITE vertices in \(V'\) in \(G\).
Find the shortest paths from the BLUE to all WHITE vertices in \(G'\) (filtered graph - step 2).
Find the shortest paths from the BLUE to all WHITE vertices in \(G\) (original graph).
For each WHITE vertex compute the tortuosity using the shortest paths from step 5 and 4.
Filter the set \(V_{Wt1}\) with all WHITE vertices that have the shortest path with \(t=1\).
Output: The fraction of WHITE vertices with straight rising paths \(|V_{Wt1}|/|V_W|\) .
CT_n_D_adj_An
¶
CT_n_D_adj_An
- number of black vertices in direct contact with top (An - top/anode)
This descriptor computes the number of BLACK vertices with distance to RED (Anode/top) vertex. To compute this descriptor, post processing of distance vector is performed. By counting the number of BLACK vertices with zero distance to the RED vertex.
CT_n_A_adj_Ca
¶
CT_n_A_adj_Ca
- number of white vertices in direct contact with bottom (Ca - bottom/cathode)
This descriptor computes the number of WHITE vertices with distance to BLUE (Cathode/bottom) vertex. To compute this descriptor, post processing of distance vector is performed. By counting the number of WHITE vertices with zero distance to the BLUE vertex.


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{% for image_filename in images[2] %}
{% endfor %}


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| DOSE: |
repeated |
oral |
GBL |
(liquid) |
You might want to let your readers know that if they experience any bone pain (feels like arthritis) in the hands, legs, or joints during a period of heavy GBL use, this is probably metabolic acidosis--especially if accompanied with confusion, lack of energy, and muscle twitches (not the twitches they feel DURING GBL use, but chronic twitches). It recently happened to me and my doctor thought that GBL is the most likely cause.
The explanation goes this way: for every molecule of GBL you consume, your body uses a hydroxide Ion (-OH) to convert it to GHB. If you use it once a day at a standard dose (1 ml or so), your body has no trouble compensating and you won't even notice. However, continuous use 2-3 times a day can deplete these ions faster than your body can replace them, slowly raising the PH of your body until it becomes too acidic. This causes your serum potassium to dip (dangerous for all kinds of reasons including heart irregualrities), a your body starts flushing out Calcium and Vitamin D (causing bone pain, and even fractures). I only had mild acidosis, and I recovered quickly as soon as I laid off the GBL for a few days--but it is a concern. The best thing to do is let your body recover and then use GBL more sparingly. If the symptoms don't go away quickly, see a doctor--you may have a more serious problem. Severe acidosis can kill you--don't be afraid to seek help.
[see also M's comments on the
storage of 1,4-B.]
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


HOPE FLOATS A film review by Steve Rhodes Copyright 1998 Steve Rhodes
RATING (0 TO ****): ** 1/2
HOPE FLOATS - but just barely. As directed by WAITING TO EXHALE's director, Forest Whitaker, the latest attempt by Sandra Bullock to find another movie to display her talents is at best a partial success.
Harry Connick Jr., who plays opposite Bullock, is given a series of recycled scenes. Typical of these is the one in which he gets her to smile by using the age-old technique of taunting her with a "Don't smile now!"
The story opens strongly with one of those confrontational talk shows. Birdee Pruitt (Bullock) is blindfolded and in an isolation booth as in the old television quiz shows like "Twenty-One" or "The $64,000 Question." Once she and her husband, played blandly by Michael Pare, are released from their confinement, her "best" friend, played in a cameo by an uncredited Rosanna Arquette, confesses that she is having an affair with Birdee's husband.
An embarrassed Birdee leaves Chicago to head for her hometown of Smithville, Texas, where she was the "Queen of Corn" three years running. Accompanying Birdee is her shy 9-year-old daughter Bernice, played charmingly by Mae Whitman from ONE FINE DAY. Bernice is a daddy's girl, who spends most of the movie wanting to return to her favorite parent. A subplot has her accidentally hitting a mean, tubby girl with a volleyball and then living in fear of retribution.
 Equally quirky is Birdee's nephew Travis, played by Cameron Finley, seen last year as the Beaver in LEAVE IT TO BEAVER. Travis lives his life in one fantasy role after another.
Although Birdee claims to be reconciled to her new situation - "People fall in love. They fall right back out. It happens all the time." - she mopes around the house in her robe. Her mother offers trite consolation. "Look at me," she points out. "My life has no meaning or direction, and I'm happy." The locals, who all saw Birdee mortified on national TV, treat her as though she were the one with the scarlet letter.
 As her love interest, a good old boy with a toothy grin named Justin Matisse (Connick) comes a courting. Justin, who had a crush on Birdee in high school, has recently returned from California where he lost his great job because "he wouldn't work fast enough." (Another victim of those slave-driving, California employers.)
In one of movie's many funny scenes, Birdee relates how Justin shocked her with a kiss when she was a girl. When he stuck his tongue in her mouth, she thought he might have had a stroke or something.
Too often Whitaker's staging amounts to a series of lost opportunities. When Birdee first gets her photo shop job, for example, the owner explains that they keep a copy of all risque photos in a special drawer and that she is free to look at them but not to remove them. The payoff scene, in which she sneaks a peak and then guiltily slams the drawer shut, never occurs.
The show's lone tragedy of any real import is handled with touching delicacy, but it may be hard to take for those who may have recently lost a loved one.
Even if there is little genuine chemistry between the leads, it is refreshing to see an old fashioned picture in which two lovers, who "sleep" with each other, seem to do exactly that and nothing more. They also go parking in his pickup, and he remarks that he feels like a 16-year-old again. Ah, nostalgia.
Whitaker should be ashamed of the child exploitation scenes that he uses to bracket the story.  The scene ends with the camera shamelessly framing her as she gushes with tears. An even more sickening scene with the girl occurs toward the end of the picture.
Even if the movie is shallow and uneven, it has its charms, not that you'll remember any of them by the next day. And if Bullock isn't as good as she was in WHILE YOU WERE SLEEPING, at least she is infinitely better than in her insipid performance in IN LOVE AND WAR. Perhaps Bullock needs just the right role in order to shine. HOPE FLOATS makes her appealing but rarely compelling. Hopefully Bullock will strike cinematic pay dirt in her next outing. She's such a likable person that we're rooting for her.
HOPE FLOATS runs 1:50. It is rated PG-13 for thematic elements and would be fine for kids around 10 and up.
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
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Related links: index of all rec.arts.movies.reviews reviews


Sokka was a Water Tribe warrior of the Southern Water Tribe and the son of Chief Hakoda and Kya. Following the death of his mother and his father's leave for war, Sokka was raised by his grandmother Kanna along with his younger sister Katara.
Hakoda left along with all of the other men in his tribe to fight the Fire Nation when Sokka was a young boy. Despite his desire to join his father, Sokka was not permitted to accompany the men on the mission and was left behind. As there were no other teenage boys in the tribe, Sokka was the oldest male in the South Pole and, therefore, left as the leader of the tribe. He assumed responsibility for the tribe, haplessly training children to be future warriors, until his sister discovered an Air Nomad named Aang frozen in an iceberg. When he learned that Aang was the Avatar, he was at first skeptical that a child could really save the world. As he and his sister helped Aang on his quest, he began to believe that Aang really was the only hope for peace in the world.
Despite his inability to bend, Sokka became the strategist of the group, constantly trying to prove himself to be a great warrior like his father. He attempted to train the younger children of the Southern Water Tribe in fighting. Sokka was also the "matter of fact" guy in the group and did not believe in spirit magic, as he openly mocked it. His leadership skills improved during his travels with the Avatar, culminating with his masterminding the plan for the invasion of the Fire Nation on the Day of Black Sun. His humor and his ability to organize and plan became imperative to the group on their travels. By the conclusion of the Hundred Year War, Sokka became a master swordsman and a great warrior like his father.


Snookes1516.github.io
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MBTA Home Page
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ransportation
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MBTA.com is down for a bit of maintenance right now. Thanks for your patience.


A solar flare is a sudden flash of increased brightness on the Sun, usually observed near its surface
and in close proximity to a sunspot group.
Powerful flares are often, but not always, accompanied by a coronal mass ejection. Even the most powerful flares are barely detect...


--- layout: post status: publish published: true title: IParameterInspector and OneWay Operations 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: 360 wordpress_url: http://winterdom.com/2006/09/iparameterinspectorandonewayoperations date: '2006-09-28 06:06:03 +0000' date_gmt: '2006-09-28 06:06:03 +0000' categories: - WCF - WinFX tags: [] comments: [] ---
I talked before about the IParameterInspector extension interface in Windows Communication Foundation. One topic I didn't cover was the behavior of IParameterInspector in relation to one way operations in WCF services. I'm refering here to operations explicitly marked with [OperationContract(IsOneWay=true)].
With OneWay operations, the behavior of IParameterInspector is different in the server and client side:
On the server (dispatcher) side, both BeforeCall() and AfterCall() will be called normally. On AfterCall(), the outputs parameter array will be of zero-length and the returnValue argument will be null, as expected.
On the client (proxy) side, however, the AfterCall() method in your IParameterInspector implementation will never be called by the runtime. While this makes sense, it might not have been what you expected, so be mindful of this little fact.
Technorati: WCF, Windows Communication Foundation, WCF Extensibility


The basic syntax for the command is: docker run [OPTIONS] IMAGE [COMMAND] [ARG...]. To run a container, the only thing you need to include in the command is the image on which it is based: docker run [docker_image].
As an example, we used a Dockerfile to create a sample Docker image with the task to echo the message Hello World. For us, the image has the ID e98b6ec72f51. Your image name will differ depending on the container you want to run. The command to run our sample container would be: docker run e98b6ec72f51
Run a Container Under a Specific Name: Using the --name attribute allows you to assign a container name. The command for running a container under a specific name is: docker container run --name [container_name] [docker_image]. For instance, we can run the sample container and give it the name container_instance using the command: docker container run --name container_instance e98b6ec72f51. You can check whether you have successfully set a container name by displaying a list of all containers (running and stopped) with the command: docker ps -a.
Run a Container in the Background (Detached Mode): There are two ways of running a container – in attached mode (in the foreground) or in detached mode (in the background). If you want to keep the container and current terminal session separate, you can run the container in the background using the -d attribute. Using detached mode also allows you to close the opened terminal session without stopping the container. The command for running a container in the background is: docker container run -d [docker_image]. For our example, the command is: docker container run -d e98b6ec72f51.
Run a Container Interactively: Docker allows you to run a container in interactive mode. This means you can execute commands inside the container while it is still running. By using the container interactively, you can access a command prompt inside the running container. To do so, run the following command: docker container run -it [docker_image] /bin/bash.
Run a Container and Publish Container Ports: You have to add the -p option to the docker run command as well as the following information: -p [host_ip]:[host_port]:[container_port] The host_ip element is optional and you don’t need to specify it when running the command. For example, to map TCP port 80 in the container to port 8080 on the Docker host you would run: docker container run -p 8080:80 [docker_image].
Click This Link - How To Use Docker Run Command With Examples


“He’s unbelievable”- Manchester United ace hailed ahead of Euro qualifier
by Neelabhra RoyHungary manager Marco Rossi heaped praise on Manchester United winger Daniel James ahead of his team’s crucial Euro qualifier against Wales tonight.
The Welsh international joined the Red Devils from Swansea City this summer and has become a regular under Ole Gunnar Solskjaer. So far, James has scored three goals while providing as many assists in 16 appearances across all competitions.
SEE MORE: Two top clubs enter race to sign £15m-rated Manchester United star
He has also been a regular starter for Wales during the Euro qualifiers. Featuring in all seven qualifying fixtures, James scored his first international goal against Slovakia in Cardiff while providing an assist against the same opposition in Trnava.
Rossi was all praise for the Manchester United winger, likening his pace to that of Kylian Mbappe. Speaking ahead of tonight’s decisive qualifier, the Hungary manager said as quoted by BBC: “James is a player that is playing with a motor bicycle because he is really fast. I have never seen someone in the last period as fast as him, maybe Mbappe. He’s unbelievable.
“If we leave him [James] space to run he could be dangerous. This could be the key, but we work a lot on the defensive line and will try to give confidence to our players.”
Wales are currently third in their qualifying group with 11 points, one behind Hungary. The Euro 2016 semifinalists need to beat the Magyarok in order to qualify for next summer’s finals. Anything other than a win and they have to settle for a playoff spot.
James will need to be at his very best tonight if Wales are to beat the Hungarians.


B Production of HYSPLIT trajectory files
As discussed in Section 18, openair can import pre-calculated trajectory data for specified locations. The data are stored on a Ricardo webserver to make it easy to import 96-hour back trajectory data. Several users have requested how they can run HYSPLIT themselves e.g. for different trajectory start heights or for many locations. This section provides the code necessary to run the HYSPLIT model. The code below assumes that full years are run, but it could be adopted for shorter periods. There are three main parts to producing trajectory files:
Download and install the NOAA Hysplit model, somewhere with write access (see below).
Download the monthly meteorological (.gbl) files also from the NOAA website.
Obtain the code to run Hysplit.
To run back trajectories it is necessary to download the meteorological data files. The easiest way to download the meteorological files is using the function below.
<- function (year = 2013, month = 1,
getMet path_met = "~/TrajData/") {
for (i in seq_along(year)) {
for (j in seq_along(month)) {
download.file(url = paste0("ftp://arlftp.arlhq.noaa.gov/archives/reanalysis/RP",
sprintf("%02d", month[j]), ".gbl"),
year[i], destfile = paste0(path_met, "RP", year[i],
sprintf("%02d", month[j]), ".gbl"), mode = "wb")
}
} }
The function will download monthly met files (each about 120 MB) to the chosen directory. Note that the met data files only need be downloaded once. For example, to download files for 2013:
getMet(year = 2013, month = 1:12)
The original functions have been modified by Stuart Grange (PhD student at the University of York). It is first necessary on ensure that the stringr and devtools packages are installed. The latter is needed to load some R functions stored as a GitHub gist (some code that can be shared publicly).
library(devtools)
## Loading required package: usethis
source_gist("https://gist.github.com/davidcarslaw/c67e33a04ff6e1be0cd7357796e4bdf5",
filename = "run_hysplit.R")
## Sourcing https://gist.githubusercontent.com/davidcarslaw/c67e33a04ff6e1be0cd7357796e4bdf5/raw/1eb36e223725308934bfa189c30969014e979198/run_hysplit.R
## SHA-1 hash of file is e1d37c75528ac18924fd0c6902318702301fa591
Now there should be several loaded functions, including
run_hysplit
. To run Hysplit, have a look at the examples here https://gist.github.com/davidcarslaw/c67e33a04ff6e1be0cd7357796e4bdf5.
On my Windows machine it is run as follows:
<- run_hysplit(
data_out latitude = 36.134,
longitude = -5.347,
runtime = -96,
start_height = 10,
model_height = 10000,
start = 2015,
end = "2015-01-10",
hysplit_exec = "~/hysplit4/exec",
hysplit_input = "~/trajData",
hysplit_output = "~/temp",
site = "gibraltar")
The data_out
can then be used directly in openair trajectory
functions.
Most of the options should be self-explanatory but hysplit_exec
is the path to the Hysplit executable, hysplit_input
is the path
to the meteorological files (downloaded as described above) and
hysplit_output
is the directory where Hysplit will write its
temporary files.
Once run it is then advisable to store the data somewhere. Save it like:
saveRDS(data_out, file = "~/trajProc/myTrajData.rds")
Then it is easy to read in later and use e.g.
<- readRDS("~/trajProc/myTrajData.rds") traj


APSMediaEvent
Objective-C
@interface APSMediaEvent : NSObject <APSMediaEventProtocol>
Swift
class APSMediaEvent : NSObject, APSMediaEventProtocol
The APSMediaEvent
class describes a container that developers can use to instruct the player to run specific blocks of code at specific moments of time. Objects extending this class and implementing the corresponding APSMediaEventProtocol
protocol can be added to the player’s main queue and can also be attached to a specific APSMediaUnit
object, for runtime triggering.
-
Sets the starting time point of the event.
Declaration
Objective-C
- (void)setStartPoint:(NSString *_Nonnull)startPoint;
Swift
func setStartPoint(_ startPoint: String)
Parameters
startPoint
A string format describing the time point when the player needs to trigger the event. Possible values are seconds (e.g.: @“60”) or a percentage relative to the total duration of the parent clip (e.g.: @“50%”).
-
Sets the ending time point of the event.
Declaration
Objective-C
- (void)setEndPoint:(NSString *_Nonnull)endPoint;
Swift
func setEndPoint(_ endPoint: String)
Parameters
endPoint
A string format describing the time point when the player needs to unload the event. Possible values are seconds (e.g.: @“60”) or a percentage relative to the total duration of the parent clip (e.g.: @“50%”).
-
The time interval (in seconds) when the player needs to trigger the event.
Warning
If percentual values were set viasetStartPoint
, this value will change immediately after the current clip’s duration is available.Declaration
Objective-C
- (NSTimeInterval)startPoint;
Swift
func startPoint() -> TimeInterval
Return Value
The initial time interval.
-
The playback time (in seconds) when the player needs to unload the event. Defaults to -1 for events that should unload right after triggering.
Warning
If percentual values were set viasetStartPoint
, this value will change immediately after the current clip’s duration is available.Declaration
Objective-C
- (NSTimeInterval)endPoint;
Swift
func endPoint() -> TimeInterval
Return Value
The final time interval.
-
If this parameter is greater than 0, then the event will be retriggered by the media player after the specific time interval (in seconds).
Declaration
Objective-C
@property (nonatomic) NSTimeInterval repeatAfter;
Swift
var repeatAfter: TimeInterval { get set }
-
Shifts air-time for an event by a defined amount of time.
Declaration
Objective-C
- (void)incrementStartAndEndPointsWithInterval:(NSTimeInterval)duration;
Swift
func incrementStartAndEndPoints(withInterval duration: TimeInterval)
Parameters
duration
Shift duration in seconds.
-
Translates percentual values set via
setStartPoint
andsetEndPoint
to actual time intervals in seconds, relative to a specified total duration.Declaration
Objective-C
- (void)adjustRelativeToDuration:(NSTimeInterval)duration;
Swift
func adjustRelative(toDuration duration: TimeInterval)
Parameters
duration
The total duration.
-
Call this to trigger the event.
Declaration
Objective-C
- (void)trigger;
Swift
func trigger()
-
Call this to preload the event.
Declaration
Objective-C
- (void)preload;
Swift
func preload()
-
Defines the number of seconds before the scheduled start point when the event should receive the [APSMediaEventProtocol preload] message (if the method is implemented).
Declaration
Objective-C
@property (nonatomic) NSTimeInterval preloadInterval;
Swift
var preloadInterval: TimeInterval { get set }
-
Defines the maximum number of seconds the event is allowed to live once it has been pretriggered, without setting the loaded property to
YES
.Declaration
Objective-C
@property (nonatomic) NSTimeInterval timeout;
Swift
var timeout: TimeInterval { get set }
-
The current lifecycle state of the event.
Declaration
Objective-C
@property APSMediaEventState state;
Swift
var state: APSMediaEventState { get set }
-
Set by the player to the current playback time in seconds, after the current event begins preloading. Defaults to -1 if the event did not start preloading.
Declaration
Objective-C
@property NSTimeInterval preloadPoint;
Swift
var preloadPoint: TimeInterval { get set }
-
Set this to
YES
if the event has no specific start time, and the player should handle insertion.Declaration
Objective-C
@property BOOL dynamicPosition;
Swift
var dynamicPosition: Bool { get set }


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The BEDES Manager can import a csv file with implementation
terms:
- First line should be the header
- Each additional line is an implementation term, either "Atomic" or "Constrained List"
- Take a look at the sample file to see the list of headers and implementation terms.
- NOTE: The list of headers should be exactly the same as in the sample file.


This event took place on Saturday 4-6pm EST. Teams were told to send 1-4 members who liked crosswords. Once the event started, teams were directed to a website where they could play crossword games with other hunt participants.
Teams have to solve a significant amount of a crossword in order to get the answer. Once they solve a large portion of the grid, they can see the following along the top-left / bottom-right diagonal: "NOW CALL IN FACIAL", so teams call in FACIAL as the answer.
Here is a stream of the fencing tournament:


PART II. AUCTION
Note
Sections 445-21 to 445-38 designated as Part II by L 1990, c 164, §28.
Assessment under §26H-4 removed. L 1992, c 232, §1.
§445-21 Fee. The annual fee for a license to sell goods, wares, merchandise, or other property at auction, shall be $100 for each taxation district. [L 1896, c 64, §25; RL 1925, §1973; am L Sp 1932 2d, c 66, §1; RL 1935, §2417; RL 1945, §7018; RL 1955, §155-18; HRS §445-21; am L 1990, c 164, §12]
Case Notes
Discrimination in amount not unconstitutional. 19 H. 651 (1909), aff'd 226 U.S. 184 (1912).
Public auction defined. 19 H. 651 (1909).
"Thirty day money-back guarantee" did not prevent sale from constituting an auction. 51 H. 502, 463 P.2d 914 (1970).


{% extends "base.html" %} {% load i18n %} {% block extrahead %} {% endblock %} {% block content %}
{% blocktrans %} My name is Olga Malancheva, I'm an artist. Bring to your attention some of my works (landscapes, portraits, still lifes). I am a member of the International Art Fund, Artists Union of Russia. My works are in various galleries, in private collections in Russia and other countries. I participate in exhibitions and held five personal. My artworks published in the album "The names in the Art of Russia". I would be very grateful if you take a moment and leave comment in the "guest book". Write me if you want to order a picture or to get something from presented. {% endblocktrans %}


Something which does not change and has the same value all the time
Something that is constant is the opposite of something that is variable, that is something which changes.


{# html snippet for creating entry modals dynamically #} {# all the modals have the same id because their contents are destroyed #} {# after each use #} {# modal id is 'ajaxModal' #}


OOPS! - The Root (/) url does not serve API methods
POST /register
GET : /authentificate/:username/:password
GET : /accounts
POST : /accounts
DELETE : /accounts/:id
POST : /transactions


The Yellow Fairy Book
by Andrew Lang
The Swineherd
by Andrew Lang
Additional Information
- Year Published: 1894
- Language: English
- Country of Origin: England
- Source: Lang, A. (Ed.). (1894). The Yellow Fairy Book. London: Longmans, Green & Co.
-
Readability:
- Flesch–Kincaid Level: 4.4
- Word Count: 1,745
- Genre: Fairy Tale/Folk Tale
- Keywords: shallow
- ✎ Cite This
Downloads
There was once a poor Prince. He possessed a kingdom which, though small, was yet large enough for him to marry on, and married he wished to be.
Now it was certainly a little audacious of him to venture to say to the Emperor’s daughter, ‘Will you marry me?’ But he did venture to say so, for his name was known far and wide. There were hundreds of princesses who would gladly have said ‘Yes,’ but would she say the same?
Well, we shall see.
On the grave of the Prince’s father grew a rose-tree, a very beautiful rose-tree.   And he had also a nightingale which could sing as if all the beautiful melodies in the world were shut up in its little throat. This rose and this nightingale the Princess was to have, and so they were both put into silver caskets and sent to her.
The Emperor had them brought to him in the great hall, where the Princess was playing ‘Here comes a duke a-riding’ with her ladies-in-waiting. And when she caught sight of the big caskets which contained the presents, she clapped her hands for joy.
 But the rose-tree with the beautiful rose came out.
‘But how prettily it is made!’ said all the ladies-in-waiting. ‘It is more than pretty,’ said the Emperor, ‘it is charming!’ But the Princess felt it, and then she almost began to cry.
‘Ugh! Papa,’ she said, ‘it is not artificial, it is REAL!’
‘Ugh!’ said all the ladies-in-waiting, ‘it is real!’
‘Let us see first what is in the other casket before we begin to be angry,’ thought the Emperor, and there came out the nightingale. It sang so beautifully that one could scarcely utter a cross word against it.
‘Superbe! charmant!’ said the ladies-in-waiting, for they all chattered French, each one worse than the other.
‘How much the bird reminds me of the musical snuff-box of the late Empress!’ said an old courtier.
‘I hope that this, at least, is not real?’ asked the Princess.
‘Yes, it is a real bird,’ said those who had brought it.
‘Then let the bird fly away,’ said the Princess; and she would not on any account allow the Prince to come. But he was nothing daunted. He painted his face brown and black, drew his cap well over his face, and knocked at the door. ‘Good-day, Emperor,’ he said. ‘Can I get a place here as servant in the castle?’
‘Yes,’ said the Emperor, ‘but there are so many who ask for a place that I don’t know whether there will be one for you; but, still, I will think of you. Stay, it has just occurred to me that I want someone to look after the swine, for I have so very many of them.’
And the Prince got the situation of Imperial Swineherd. He had a wretched little room close to the pigsties; here he had to stay, but the whole day he sat working, and when evening was come he had made a pretty little pot. All round it were little bells, and when the pot boiled they jingled most beautifully and played the old tune—
‘Where is Augustus dear?
Alas! he’s not here, here, here!’
But the most wonderful thing was, that when one held one’s finger in the steam of the pot, then at once one could smell what dinner was ready in any fire-place in the town. That was indeed something quite different from the rose. Now the Princess came walking past with all her ladies-in-waiting, and when she heard the tune she stood still and her face beamed with joy, for she also could play ‘Where is Augustus dear?’
It was the only tune she knew, but that she could play with one finger.
‘Why, that is what I play!’ she said. ‘He must be a most accomplished Swineherd! Listen! Go down and ask him what the instrument costs.’
And one of the ladies-in-waiting had to go down; but she put on wooden clogs. ‘What will you take for the pot?’ asked the lady-in-waiting.
‘I will have ten kisses from the Princess,’ answered the Swineherd.
‘Heaven forbid!’ said the lady-in-waiting.
‘Yes, I will sell it for nothing less,’ replied the Swineherd.
‘Well, what does he say?’ asked the Princess.
‘I really hardly like to tell you,’ answered the lady-in-waiting.
‘Oh, then you can whisper it to me.’
‘He is disobliging!’ said the Princess, and went away. But she had only gone a few steps when the bells rang out so prettily—
‘Where is Augustus dear?
Alas! he’s not here, here, here.’
‘Listen!’ said the Princess. ‘Ask him whether he will take ten kisses from my ladies-in-waiting.’
‘No, thank you,’ said the Swineherd. ‘Ten kisses from the Princess, or else I keep my pot.’
‘That is very tiresome!’ said the Princess. ‘But you must put yourselves in front of me, so that no one can see.’ And the ladies-in-waiting placed themselves in front and then spread out their dresses; so the Swineherd got his ten kisses, and she got the pot.
What happiness that was! The whole night and the whole day the pot was made to boil; there was not a fire-place in the whole town where they did not know what was being cooked, whether it was at the chancellor’s or at the shoemaker’s. The ladies-in-waiting danced and clapped their hands.
‘We know who is going to have soup and pancakes; we know who is going to have porridge and sausages—isn’t it interesting?’
‘Yes, very interesting!’ said the first lady-in-waiting.
‘But don’t say anything about it, for I am the Emperor’s daughter.’
‘Oh, no, of course we won’t!’ said everyone. The Swineherd—that is to say, the Prince (though they did not know he was anything but a true Swineherd)—let no day pass without making something, and one day he made a rattle which, when it was turned round, played all the waltzes, galops, and polkas which had ever been known since the world began. ‘But that is superbe!’ said the Princess as she passed by. ‘I have never heard a more beautiful composition. Listen! Go down and ask him what this instrument costs; but I won’t kiss him again.’
‘He wants a hundred kisses from the Princess,’ said the lady-in-waiting who had gone down to ask him.
‘I believe he is mad!’ said the Princess, and then she went on; but she had only gone a few steps when she stopped. ‘One ought to encourage art,’ she said. ‘I am the Emperor’s daughter! Tell him he shall have, as before, ten kisses; the rest he can take from my ladies-in-waiting.’
‘But we don’t at all like being kissed by him,’ said the ladies-in-waiting.
‘That’s nonsense,’ said the Princess; ‘and if I can kiss him, you can too. Besides, remember that I give you board and lodging.’ So the ladies-in-waiting had to go down to him again.

‘What can that commotion be by the pigsties?’ asked the Emperor, who was standing on the balcony. He rubbed his eyes and put on his spectacles.  So he took off his shoes, which were shoes though he had trodden them down into slippers. What a hurry he was in, to be sure! As soon as he came into the yard he walked very softly, and the ladies-in-waiting were so busy counting the kisses and seeing fair play that they never noticed the Emperor. He stood on tiptoe.
‘What is that?’ he said, when he saw the kissing; and then he threw one of his slippers at their heads just as the Swineherd was taking his eighty-sixth kiss.
‘Be off with you!’ said the Emperor, for he was very angry. And the Princess and the Swineherd were driven out of the empire. Then she stood still and wept; the Swineherd was scolding, and the rain was streaming down.
‘Alas, what an unhappy creature I am!’ sobbed the Princess. ‘If only I had taken the beautiful Prince! Alas, how unfortunate I am!’
And the Swineherd went behind a tree, washed the black and brown off his face, threw away his old clothes, and then stepped forward in his splendid dress, looking so beautiful that the Princess was obliged to courtesy.
‘I now come to this. I despise you!’ he said. ‘You would have nothing to do with a noble Prince; you did not understand the rose or the nightingale, but you could kiss the Swineherd for the sake of a toy. This is what you get for it!’
Alas! He’s not here, here, here!


{% extends 'base/base.html' %} {% block exp_info_block %}
When you are ready click the "next" button to continue to the next task.


Community
Information about the people working on and using Perl 6
Overview
"Perl 5 was my rewrite of Perl. I want Perl 6 to be the community's rewrite of Perl and of the community." - Larry Wall
The Perl 6 community
Online communities
There is a large presence on the #perl6
channel on freenode.net
, who are happy to provide support and answer questions, or just use as a friendly place to hang out. Check out this IRC lingo resource for the abbreviations frequently used there. StackOverflow is also a great resource for asking questions and helping others with their Perl 6 problems and challenges. More resources can be found in the perl6.org community page.
Offline communities
Perl 6 is also a common topic at Perl conferences and Perl Monger meetings and other meetups. If you prefer in-person meetings, these are warmly recommended!
Other resources
Camelia, the multi-color butterfly with P 6 in her wings, is the symbol of this diverse and welcoming community.
Perl 6 Weekly
Elizabeth Mattijsen usually posts in the "Perl 6 Weekly" blog, a summary of Perl 6 posts, tweets, comments and other interesting tidbits. If you want a single resource to know what is going on in the Perl community now, this is your best resource.
Perl 6 Advent calendar
The Perl 6 community publishes every December an Advent Calendar, with Perl 6 tutorials every day until Christmas. Organization and assignment of days is done through the different Perl 6 channels and the Perl6/advent repository. If you want to participate, its organization starts by the end of October, so check out the channels above to keep up to date.


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50%
Auto
Auto
First column
Second column with more content. This is so you can see the vertical alignment.
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is-one-quarter
is-half
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Our Second Column
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The Fourth Column
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{% extends "page_with_title_and_lede.html" %} {% load i18n %} {% block head_title %}Review Proposals{% endblock %} {% block heading %}Review Proposals{% endblock %} {% block body_class %}program{% endblock %} {% block lede %} Help choose the talks and tutorials for PyArkansas {% endblock %} {% block content %}
PyArkansas is a community event and we want the talk selection to represent the interests of the community.
To accomplish this we are using a two-phased review process and would like your feedback during phase one. Reviewers of all backgrounds and experience levels are welcome! Selection process details.
To sign up as a reviewer:
Sign in to your account on this site (note that you will need to register a new account for 2018.)
Go to the dashboard page.
Scroll to the bottom and look for the Teams box.
Click on the "Proposal Reviewers" team and click Join.
Once you've joined the team:
Reload the Dashboard screen. You should see a new 'Reviews' section.
Read through as many proposals as you can. Sort by total number of reviews and try to review the talks that have the least total reviews first.
Use the speaker feedback tab if you want to ask questions, get clarification, or recommend changes to the proposal.
Scoring:
Scoring is used during the first round of the selection process to provide the selection committee input on which submissions have the greatest interest. Please use the following guidelines for scoring:
Note: If you have submitted a proposal, you will not see it listed in reviewer mode. This is so you do not vote on your own proposal. You are encouraged to both propose and review session submissions if you wish.
{% endblock %}


The format of each ASCII template line closely follows the format of a FITS keyword record:
KEYWORD = KEYVALUE / COMMENTexcept that free format may be used (e.g., the equals sign may appear at any position in the line) and TAB characters are allowed and are treated the same as space characters. The KEYVALUE and COMMENT fields are optional. The equals sign character is also optional, but it is recommended that it be included for clarity. Any template line that begins with the pound '#' character is ignored by the template parser and may be use to insert comments into the template file itself.
The KEYWORD name field is limited to 8 characters in length and only the letters A-Z, digits 0-9, and the hyphen and underscore characters may be used, without any embedded spaces. Lowercase letters in the template keyword name will be converted to uppercase. Leading spaces in the template line preceding the keyword name are generally ignored, except if the first 8 characters of a template line are all blank, then the entire line is treated as a FITS comment keyword (with a blank keyword name) and is copied verbatim into the FITS header.
The KEYVALUE field may have any allowed FITS data type: character string, logical, integer, real, complex integer, or complex real. The character string values need not be enclosed in single quote characters unless they are necessary to distinguish the string from a different data type (e.g. 2.0 is a real but '2.0' is a string). The keyword has an undefined (null) value if the template record only contains blanks following the "=" or between the "=" and the "/" comment field delimiter.
String keyword values longer than 68 characters (the maximum length that will fit in a single FITS keyword record) are permitted using the CFITSIO long string convention. They can either be specified as a single long line in the template, or by using multiple lines where the continuing lines contain the 'CONTINUE' keyword, as in this example:
LONGKEY = 'This is a long string value that is contin&' CONTINUE 'ued over 2 records' / comment field goes hereThe format of template lines with CONTINUE keyword is very strict: 3 spaces must follow CONTINUE and the rest of the line is copied verbatim to the FITS file.
The start of the optional COMMENT field must be preceded by "/", which is used to separate it from the keyword value field. Exceptions are if the KEYWORD name field contains COMMENT, HISTORY, CONTINUE, or if the first 8 characters of the template line are blanks.
More than one Header-Data Unit (HDU) may be defined in the template file. The start of an HDU definition is denoted with a SIMPLE or XTENSION template line:
1) SIMPLE begins a Primary HDU definition. SIMPLE may only appear as the first keyword in the template file. If the template file begins with XTENSION instead of SIMPLE, then a default empty Primary HDU is created, and the template is then assumed to define the keywords starting with the first extension following the Primary HDU.
2) XTENSION marks the beginning of a new extension HDU definition. The previous HDU will be closed at this point and processing of the next extension begins.


Grocerize
Enter item and select department
Choose a department
Alcohol
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rmmod - Simple program to remove a module from the Linux Kernel
rmmod [-f] [-s] [-v]
[modulename]
rmmod is a trivial program to remove a module (when module unloading
support is provided) from the kernel. Most users will want to use
modprobe(8) with the -r option instead.
-v, --verbose
Print messages about what the program is doing. Usually
rmmod prints messages only if something goes wrong.
-f, --force
This option can be extremely dangerous: it has no effect
unless CONFIG_MODULE_FORCE_UNLOAD was set when the kernel was compiled. With
this option, you can remove modules which are being used, or which are not
designed to be removed, or have been marked as unsafe (see
lsmod(8)).
-s, --syslog
Send errors to syslog instead of standard error.
-V --version
Show version of program and exit.
This manual page originally Copyright 2002, Rusty Russell, IBM Corporation.
Maintained by Jon Masters and others.
modprobe(8), insmod(8), lsmod(8), modinfo(8)
depmod(8)
Jon Masters<EMAIL_ADDRESS>Developer
Lucas De Marchi<EMAIL_ADDRESS>Developer


News
Aug 7, 2004
XStream 1.0.2 released. Minor improvements, including:
- Many more converters for common Java types.
- Fields of type byte[] are now encoded using Base64.
- Improved support for using XStream in environments where classes are hot-redeployed.
View the complete change log and download.


--- layout: post title: California rushing... date: 2009-02-02 06:52:29.000000000 -06:00 type: post parent_id: '0' published: true password: '' status: publish categories: - English - Fleeing - Reflections - USA08 tags: [] meta: _edit_last: '1412221' author: login: dreamessenceonthemove email<EMAIL_ADDRESS>display_name: darribas first_name: Daniel last_name: Arribas-Bel permalink: "/2009/02/02/california-rushing/" ---
I just got back home after a weekend in California: on friday I got on a plane to LA where Ago was waiting me to take for a drink and later for dinner; I think there are moments to make history and others to remember it and, if you manage to combine both in the right composition, it's perfect. This one was one of them to remember and so we did around tons of great and cheap sushi in my already preferred place in LA, a very small and humble restauran run by five japanese where decoration barely exists but reggae is in the air and sushi is delicious.
As we say in Spain " good, if short, is double good", the following morning I got up real early and headed over the airport to continue my "revival" tour: it was time to San Francisco and the great times and people spent in Korea now a year and a half ago. A couple of koreans from the summer school happened to be in the city and we arranged a weekend there, so Katie would come up from Orange county and I'd go from AZ. It was really short and unplanned but the only fact that it happened already made me happy. We ate tons of asian food and sweets and chatted all over the weekend; I spent the night at my friend Jesus' place and this morning, after mexican breakfast, I got on a plane, again.
It's been really short, just like a dream, just like memories are, they come and go and the meantime in between is what really matters and makes life great; but it's been the perfect way to forget about the desert and work for a while and, considering the month now just finishes (coming back from Spain, moving to the new apartment, rushing to finish work with no success...), it was just perfect. Here are the pics although there are not that many; I usually get very lazy about taking pictures, specially when people I am with have cameras (not difficult if you are with four asians...). Anyway, serve yourself:
| Weekend in California [Korea remember] |


ripmmarc.Rd
Patch-based and rotation invariant image decomposition. This
is similar to patch-based dictionary learning in N-dimensions. Warning:
there may be an overlow/underflow error in the C++ underlying this function
that appears to occur when insufficient patchSamples
are selected.
ripmmarc(img, mask, patchRadius = 3, patchSamples = 1000, patchVarEx = 0.95, meanCenter = TRUE, canonicalFrame = NA, evecBasis = NA, rotationInvariant = TRUE, regressProjections = TRUE, verbose = FALSE)
| img | Image to decompose |
|---|---|
| mask | Binary mask defining regions in which to decompose. |
| patchRadius | Scalar radius defining the patch size. |
| patchSamples | Scalar defining the number of random patches to sample. |
| patchVarEx | Scalar defining the target variance explained. If this is greater than one, then it defines the number of eigenvectors. Otherwise, it defines the target variance explained. |
| meanCenter | boolean whether we mean center the patches. |
| canonicalFrame | pass in an existing canonicalFrame. |
| evecBasis | pass in an existing eigenvector basis. |
| rotationInvariant | boolean sets whether patches are rotationInvariant. |
| regressProjections | boolean return reconstruction parameters. |
| verbose | boolean sets verbosity. |
list including the canonical frame, the matrix basis, the patches for the full image, the projection coefficients for the full image, the variance explained and a reconstructed image.
img <- antsImageRead( getANTsRData( "r16" ) ) msk <- getMask( img ) %>% iMath("ME",1) lap = iMath( img, "Laplacian", 2 ) mskTestTrain = antsImageClone( msk ) mskTestTrain[1:128,1:256]=2 mskTestTrain = mskTestTrain * msk pr = 2 nv = 15 ripped <- ripmmarc( img, thresholdImage(mskTestTrain,2,2), patchRadius=pr, patchSamples=5000, patchVarEx=nv, rotationInvariant = FALSE ) ipatches = ripped$imagePatchMat ibasis = scale( ripped$basisMat ) k = 5 kk = lm( ipatches[k,] ~ t( ibasis[1:10,] ) ) rimg = ripmmarcBasisImage( ripped$canonicalFrame, ipatches[k,] ) # plot( rimg, doCropping=FALSE ) bimg = ripmmarcBasisImage( ripped$canonicalFrame, ibasis[5,] ) # plot( bimg, doCropping=FALSE ) rippedTest <- ripmmarc( img, thresholdImage(mskTestTrain,1,1), patchRadius=pr, evecBasis = ripped$basisMat, canonicalFrame = ripped$canonicalFrame, patchSamples=500, patchVarEx=nv, rotationInvariant = FALSE ) lapTrainVox = lap[ mskTestTrain == 2 ] lapTestVox = lap[ mskTestTrain == 1 ] mydftr = data.frame( lap=lapTrainVox, t1feats=ripped$evecCoeffs ) mydfte = data.frame( lap=lapTestVox, t1feats=rippedTest$evecCoeffs ) mdl = lm( lap ~ . , data = mydftr ) preds = predict( mdl, newdata = mydfte ) # cor.test( preds, mydfte$lap )


"QUICKSANDS "found only in Acts 27:17, the rendering of the Greek Syrtis. On the north coast of Africa were two localities dangerous to sailors, called the Greater and Lesser Syrtis. The former of these is probably here meant. It lies between Tripoli and Barca, and near Cyrene. The Lesser Syrtis lay farther to the west.
"QUICKSANDS "found only in Acts 27:17, the rendering of the Greek Syrtis. On the north coast of Africa were two localities dangerous to sailors, called the Greater and Lesser Syrtis. The former of these is probably here meant. It lies between Tripoli and Barca, and near Cyrene.
The Lesser Syrtis lay farther to the west.


Chaz Kangeroo Hoodie
$52.00
Ideal for cold-weather training or work outdoors, the Chaz Hoodie promises superior warmth with every wear. Thick material blocks out the wind as ribbed cuffs and bottom band seal in body heat.
Ideal for cold-weather training or work outdoors, the Chaz Hoodie promises superior warmth with every wear.
{% include "website/snippets/side-bar-collections.html" %}


Carillon, microphones, and site-specific analysis and realtime score generation
CC BY -SA 4.0
BERKELEY, CA 11/13/2014 — Winners of Hack the Bells, the first international carillon remix competition, have been selected. Rama Gottfried, a PhD candidate at UC Berkeley in Music, received first place, with his proposal "Harmonize Place."" His work will be acquired by the Berkeley and Anton Brees collection and he will be awarded a $700 grand prize. Monica Hansel, a fiber artist, and Linda Pointer, a professor and carilloneur, received honorable mentions for their respective works "Wave" and "Theater Piece for Berkeley" and will each receive $100.
All works are freely licensed under the Creative Commons Share-Alike 4.0 license.
Gottfried's proposal seeks to transform the campanile from a historical monument of power and an institutional broadcast system to a democratized form of communication and catalyst for reflection by harmonizing the campanile with its environment. Gottfried will install omni-directional microphones at pre-announced listening locations throughout the Berkeley campus and will create a computer program that will analyze the sounds registered for time and frequency. This information will be converted into musical content and transmitted to the campanile where a carillonneur will play the incoming score. For a brief period of time, the carillon will become responsive to its surroundings.
"[Gottfried's] proposal combines the specificity of the campanile with the specificity of the moment and the listener. This proposal not only celebrates the centennial of the Campanile but also makes the Campanile celebrate it's place and time."
- Lizzy Jongma
Jurors for Hack the Bells included Jeff Davis, UC Berkeley University Carillonist; Alex Freeman, Director of Special Projects at the New Media Consortium; Lizzy Jongma, Data Manager at the Rijksmuseum Amsterdam; Susan Miller, Program Manager of the Consortium for Interdisciplinary Research at UC Berkeley; Greg Niemeyer, Director of the UC Berkeley Center for New Media; and Frank Steijns, carillonneur at Maastricht, Weert, and Heerlen, The Netherlands.
Hack the Bells is a program devised Sarah Stierch, as part of her 2014 Susan Miller Fellowship at the UC Berkeley Center for New Media. The Susan Miller Fellowship is funded by Meyer Sound to support the work of a practitioner or academic who is making a significant contribution to promoting the advancement of women in the field of new media, as well as fostering engagement, excellence, and new perspectives in this emerging discipline.
Fascinated by Sather Tower at UC Berkeley, Sarah connected with Tiffany Ng, a PhD candidate in Musicology with a Designated Emphasis in New Media, to develop the competition. Cesar Torres, a PhD student in Computer Science with a Designated Emphasis in New Media, joined the team to help build an online platform for the project.
Hack the Bells is sponsored by the Berkeley Center for New Media, the Anton Brees Carillon Library, Meyer Sound, the Open Knowledge Foundation's OpenGLAM initiative, the Guild of Carillonneurs in North America, and the Hargrove Music Library at UC Berkeley.
For more information, please contact Sarah Stierch at sarah@sarahstierch.com


Ocean [ay64], ocean, in Crystal Sea
Last updated Turn #72
Ocean [ay64], ocean, in Crystal Sea
------------------------------------------------------------------------
23: Orion I [hd3f], ship, 2 hulls, 1 rowing port, 6 sails, 29% damaged,
23: arrived from Ocean [ay65], owner:
23: Phantasm [n4b], Imperial Empire, with 12 sailors
23: A storm batters the ship and causes some damage.
24: Orion I [hd3f], ship, 2 hulls, 1 rowing port, 6 sails, 30% damaged,
24: departed for Ocean [ay63].
30: It has stopped raining.
Routes leaving Ocean:
North, to Ocean [ax64], 6 days
East, to Ocean [ay65], 6 days
South, to Ocean [az64], 6 days
West, to Ocean [ay63], 6 days


PSE Exercise
Useful Links
Official Documentation
Ticket Tracker and Community Wiki
Official Blog
Planet Puppet Blog Aggregate
Puppet Module Forge
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