T
- the type of the stream elementspublic interface Stream<T> extends BaseStream<T,Stream<T>>
Stream
and IntStream
:
int sum = widgets.stream()
.filter(w -> w.getColor() == RED)
.mapToInt(w -> w.getWeight())
.sum();
In this example, widgets
is a Collection<Widget>
. We create
a stream of Widget
objects via Collection.stream()
,
filter it to produce a stream containing only the red widgets, and then
transform it into a stream of int
values representing the weight of
each red widget. Then this stream is summed to produce a total weight.
In addition to Stream
, which is a stream of object references,
there are primitive specializations for IntStream
, LongStream
,
and DoubleStream
, all of which are referred to as "streams" and
conform to the characteristics and restrictions described here.
To perform a computation, stream
operations are composed into a
stream pipeline. A stream pipeline consists of a source (which
might be an array, a collection, a generator function, an I/O channel,
etc), zero or more intermediate operations (which transform a
stream into another stream, such as filter(Predicate)
), and a
terminal operation (which produces a result or side-effect, such
as count()
or forEach(Consumer)
).
Streams are lazy; computation on the source data is only performed when the
terminal operation is initiated, and source elements are consumed only
as needed.
Collections and streams, while bearing some superficial similarities,
have different goals. Collections are primarily concerned with the efficient
management of, and access to, their elements. By contrast, streams do not
provide a means to directly access or manipulate their elements, and are
instead concerned with declaratively describing their source and the
computational operations which will be performed in aggregate on that source.
However, if the provided stream operations do not offer the desired
functionality, the BaseStream.iterator()
and BaseStream.spliterator()
operations
can be used to perform a controlled traversal.
A stream pipeline, like the "widgets" example above, can be viewed as
a query on the stream source. Unless the source was explicitly
designed for concurrent modification (such as a ConcurrentHashMap
),
unpredictable or erroneous behavior may result from modifying the stream
source while it is being queried.
Most stream operations accept parameters that describe user-specified
behavior, such as the lambda expression w -> w.getWeight()
passed to
mapToInt
in the example above. To preserve correct behavior,
these behavioral parameters:
Such parameters are always instances of a
functional interface such
as Function
, and are often lambda expressions or
method references. Unless otherwise specified these parameters must be
non-null.
A stream should be operated on (invoking an intermediate or terminal stream
operation) only once. This rules out, for example, "forked" streams, where
the same source feeds two or more pipelines, or multiple traversals of the
same stream. A stream implementation may throw IllegalStateException
if it detects that the stream is being reused. However, since some stream
operations may return their receiver rather than a new stream object, it may
not be possible to detect reuse in all cases.
Streams have a BaseStream.close()
method and implement AutoCloseable
,
but nearly all stream instances do not actually need to be closed after use.
Generally, only streams whose source is an IO channel (such as those returned
by Files.lines(Path, Charset)
) will require closing. Most streams
are backed by collections, arrays, or generating functions, which require no
special resource management. (If a stream does require closing, it can be
declared as a resource in a try
-with-resources statement.)
Stream pipelines may execute either sequentially or in
parallel. This
execution mode is a property of the stream. Streams are created
with an initial choice of sequential or parallel execution. (For example,
Collection.stream()
creates a sequential stream,
and Collection.parallelStream()
creates
a parallel one.) This choice of execution mode may be modified by the
BaseStream.sequential()
or BaseStream.parallel()
methods, and may be queried with
the BaseStream.isParallel()
method.
IntStream
,
LongStream
,
DoubleStream
,
java.util.stream| Modifier and Type | Interface and Description |
|---|---|
static interface |
Stream.Builder<T>
A mutable builder for a
Stream . |
| Modifier and Type | Method and Description |
|---|---|
boolean |
allMatch(Predicate<? super T> predicate)
Returns whether all elements of this stream match the provided predicate.
|
boolean |
anyMatch(Predicate<? super T> predicate)
Returns whether any elements of this stream match the provided
predicate.
|
static <T> Stream.Builder<T> |
builder()
Returns a builder for a
Stream . |
<R,A> R |
collect(Collector<? super T,A,R> collector)
Performs a mutable
reduction operation on the elements of this stream using a
Collector . |
<R> R |
collect(Supplier<R> supplier,
BiConsumer<R,? super T> accumulator,
BiConsumer<R,R> combiner)
Performs a mutable
reduction operation on the elements of this stream.
|
static <T> Stream<T> |
concat(Stream<? extends T> a,
Stream<? extends T> b)
Creates a lazily concatenated stream whose elements are all the
elements of the first stream followed by all the elements of the
second stream.
|
long |
count()
Returns the count of elements in this stream.
|
Stream<T> |
distinct()
Returns a stream consisting of the distinct elements (according to
Object.equals(Object) ) of this stream. |
static <T> Stream<T> |
empty()
Returns an empty sequential
Stream . |
Stream<T> |
filter(Predicate<? super T> predicate)
Returns a stream consisting of the elements of this stream that match
the given predicate.
|
Optional<T> |
findAny()
Returns an
Optional describing some element of the stream, or an
empty Optional if the stream is empty. |
Optional<T> |
findFirst()
Returns an
Optional describing the first element of this stream,
or an empty Optional if the stream is empty. |
<R> Stream<R> |
flatMap(Function<? super T,? extends Stream<? extends R>> mapper)
Returns a stream consisting of the results of replacing each element of
this stream with the contents of a mapped stream produced by applying
the provided mapping function to each element.
|
DoubleStream |
flatMapToDouble(Function<? super T,? extends DoubleStream> mapper)
Returns an
DoubleStream consisting of the results of replacing
each element of this stream with the contents of a mapped stream produced
by applying the provided mapping function to each element. |
IntStream |
flatMapToInt(Function<? super T,? extends IntStream> mapper)
Returns an
IntStream consisting of the results of replacing each
element of this stream with the contents of a mapped stream produced by
applying the provided mapping function to each element. |
LongStream |
flatMapToLong(Function<? super T,? extends LongStream> mapper)
Returns an
LongStream consisting of the results of replacing each
element of this stream with the contents of a mapped stream produced by
applying the provided mapping function to each element. |
void |
forEach(Consumer<? super T> action)
Performs an action for each element of this stream.
|
void |
forEachOrdered(Consumer<? super T> action)
Performs an action for each element of this stream, in the encounter
order of the stream if the stream has a defined encounter order.
|
static <T> Stream<T> |
generate(Supplier<T> s)
Returns an infinite sequential unordered stream where each element is
generated by the provided
Supplier . |
static <T> Stream<T> |
iterate(T seed,
UnaryOperator<T> f)
Returns an infinite sequential ordered
Stream produced by iterative
application of a function f to an initial element seed ,
producing a Stream consisting of seed , f(seed) ,
f(f(seed)) , etc. |
Stream<T> |
limit(long maxSize)
Returns a stream consisting of the elements of this stream, truncated
to be no longer than
maxSize in length. |
<R> Stream<R> |
map(Function<? super T,? extends R> mapper)
Returns a stream consisting of the results of applying the given
function to the elements of this stream.
|
DoubleStream |
mapToDouble(ToDoubleFunction<? super T> mapper)
Returns a
DoubleStream consisting of the results of applying the
given function to the elements of this stream. |
IntStream |
mapToInt(ToIntFunction<? super T> mapper)
Returns an
IntStream consisting of the results of applying the
given function to the elements of this stream. |
LongStream |
mapToLong(ToLongFunction<? super T> mapper)
Returns a
LongStream consisting of the results of applying the
given function to the elements of this stream. |
Optional<T> |
max(Comparator<? super T> comparator)
Returns the maximum element of this stream according to the provided
Comparator . |
Optional<T> |
min(Comparator<? super T> comparator)
Returns the minimum element of this stream according to the provided
Comparator . |
boolean |
noneMatch(Predicate<? super T> predicate)
Returns whether no elements of this stream match the provided predicate.
|
static <T> Stream<T> |
of(T... values)
Returns a sequential ordered stream whose elements are the specified values.
|
static <T> Stream<T> |
of(T t)
Returns a sequential
Stream containing a single element. |
Stream<T> |
peek(Consumer<? super T> action)
Returns a stream consisting of the elements of this stream, additionally
performing the provided action on each element as elements are consumed
from the resulting stream.
|
Optional<T> |
reduce(BinaryOperator<T> accumulator)
Performs a reduction on the
elements of this stream, using an
associative accumulation
function, and returns an
Optional describing the reduced value,
if any. |
T |
reduce(T identity,
BinaryOperator<T> accumulator)
Performs a reduction on the
elements of this stream, using the provided identity value and an
associative
accumulation function, and returns the reduced value.
|
<U> U |
reduce(U identity,
BiFunction<U,? super T,U> accumulator,
BinaryOperator<U> combiner)
Performs a reduction on the
elements of this stream, using the provided identity, accumulation and
combining functions.
|
Stream<T> |
skip(long n)
Returns a stream consisting of the remaining elements of this stream
after discarding the first
n elements of the stream. |
Stream<T> |
sorted()
Returns a stream consisting of the elements of this stream, sorted
according to natural order.
|
Stream<T> |
sorted(Comparator<? super T> comparator)
Returns a stream consisting of the elements of this stream, sorted
according to the provided
Comparator . |
Object[] |
toArray()
Returns an array containing the elements of this stream.
|
<A> A[] |
toArray(IntFunction<A[]> generator)
Returns an array containing the elements of this stream, using the
provided
generator function to allocate the returned array, as
well as any additional arrays that might be required for a partitioned
execution or for resizing. |
close, isParallel, iterator, onClose, parallel, sequential, spliterator, unordered
Stream<T> filter(Predicate<? super T> predicate)
This is an intermediate operation.
predicate
- a non-interfering,
stateless
predicate to apply to each element to determine if it
should be included<R> Stream<R> map(Function<? super T,? extends R> mapper)
This is an intermediate operation.
R
- The element type of the new streammapper
- a non-interfering,
stateless
function to apply to each elementIntStream mapToInt(ToIntFunction<? super T> mapper)
IntStream
consisting of the results of applying the
given function to the elements of this stream.
This is an intermediate operation.
mapper
- a non-interfering,
stateless
function to apply to each elementLongStream mapToLong(ToLongFunction<? super T> mapper)
LongStream
consisting of the results of applying the
given function to the elements of this stream.
This is an intermediate operation.
mapper
- a non-interfering,
stateless
function to apply to each elementDoubleStream mapToDouble(ToDoubleFunction<? super T> mapper)
DoubleStream
consisting of the results of applying the
given function to the elements of this stream.
This is an intermediate operation.
mapper
- a non-interfering,
stateless
function to apply to each element<R> Stream<R> flatMap(Function<? super T,? extends Stream<? extends R>> mapper)
closed
after its contents
have been placed into this stream. (If a mapped stream is null
an empty stream is used, instead.)
This is an intermediate operation.
R
- The element type of the new streammapper
- a non-interfering,
stateless
function to apply to each element which produces a stream
of new valuesIntStream flatMapToInt(Function<? super T,? extends IntStream> mapper)
IntStream
consisting of the results of replacing each
element of this stream with the contents of a mapped stream produced by
applying the provided mapping function to each element. Each mapped
stream is closed
after its
contents have been placed into this stream. (If a mapped stream is
null
an empty stream is used, instead.)
This is an intermediate operation.
mapper
- a non-interfering,
stateless
function to apply to each element which produces a stream
of new valuesflatMap(Function)
LongStream flatMapToLong(Function<? super T,? extends LongStream> mapper)
LongStream
consisting of the results of replacing each
element of this stream with the contents of a mapped stream produced by
applying the provided mapping function to each element. Each mapped
stream is closed
after its
contents have been placed into this stream. (If a mapped stream is
null
an empty stream is used, instead.)
This is an intermediate operation.
mapper
- a non-interfering,
stateless
function to apply to each element which produces a stream
of new valuesflatMap(Function)
DoubleStream flatMapToDouble(Function<? super T,? extends DoubleStream> mapper)
DoubleStream
consisting of the results of replacing
each element of this stream with the contents of a mapped stream produced
by applying the provided mapping function to each element. Each mapped
stream is closed
after its
contents have placed been into this stream. (If a mapped stream is
null
an empty stream is used, instead.)
This is an intermediate operation.
mapper
- a non-interfering,
stateless
function to apply to each element which produces a stream
of new valuesflatMap(Function)
Stream<T> distinct()
Object.equals(Object)
) of this stream.
For ordered streams, the selection of distinct elements is stable (for duplicated elements, the element appearing first in the encounter order is preserved.) For unordered streams, no stability guarantees are made.
This is a stateful intermediate operation.
Stream<T> sorted()
Comparable
, a java.lang.ClassCastException
may be thrown
when the terminal operation is executed.
For ordered streams, the sort is stable. For unordered streams, no stability guarantees are made.
This is a stateful intermediate operation.
Stream<T> sorted(Comparator<? super T> comparator)
Comparator
.
For ordered streams, the sort is stable. For unordered streams, no stability guarantees are made.
This is a stateful intermediate operation.
comparator
- a non-interfering,
stateless
Comparator
to be used to compare stream elementsStream<T> peek(Consumer<? super T> action)
This is an intermediate operation.
For parallel stream pipelines, the action may be called at whatever time and in whatever thread the element is made available by the upstream operation. If the action modifies shared state, it is responsible for providing the required synchronization.
action
- a
non-interfering action to perform on the elements as
they are consumed from the streamStream<T> limit(long maxSize)
maxSize
in length.
maxSize
- the number of elements the stream should be limited toIllegalArgumentException
- if maxSize
is negativeStream<T> skip(long n)
n
elements of the stream.
If this stream contains fewer than n
elements then an
empty stream will be returned.
This is a stateful intermediate operation.
n
- the number of leading elements to skipIllegalArgumentException
- if n
is negativevoid forEach(Consumer<? super T> action)
This is a terminal operation.
The behavior of this operation is explicitly nondeterministic. For parallel stream pipelines, this operation does not guarantee to respect the encounter order of the stream, as doing so would sacrifice the benefit of parallelism. For any given element, the action may be performed at whatever time and in whatever thread the library chooses. If the action accesses shared state, it is responsible for providing the required synchronization.
action
- a
non-interfering action to perform on the elementsvoid forEachOrdered(Consumer<? super T> action)
This is a terminal operation.
This operation processes the elements one at a time, in encounter order if one exists. Performing the action for one element happens-before performing the action for subsequent elements, but for any given element, the action may be performed in whatever thread the library chooses.
action
- a
non-interfering action to perform on the elementsforEach(Consumer)
Object[] toArray()
This is a terminal operation.
<A> A[] toArray(IntFunction<A[]> generator)
generator
function to allocate the returned array, as
well as any additional arrays that might be required for a partitioned
execution or for resizing.
This is a terminal operation.
A
- the element type of the resulting arraygenerator
- a function which produces a new array of the desired
type and the provided lengthArrayStoreException
- if the runtime type of the array returned
from the array generator is not a supertype of the runtime type of every
element in this streamT reduce(T identity, BinaryOperator<T> accumulator)
T result = identity;
for (T element : this stream)
result = accumulator.apply(result, element)
return result;
but is not constrained to execute sequentially.
The identity
value must be an identity for the accumulator
function. This means that for all t
,
accumulator.apply(identity, t)
is equal to t
.
The accumulator
function must be an
associative function.
This is a terminal operation.
identity
- the identity value for the accumulating functionaccumulator
- an associative,
non-interfering,
stateless
function for combining two valuesOptional<T> reduce(BinaryOperator<T> accumulator)
Optional
describing the reduced value,
if any. This is equivalent to:
boolean foundAny = false;
T result = null;
for (T element : this stream) {
if (!foundAny) {
foundAny = true;
result = element;
}
else
result = accumulator.apply(result, element);
}
return foundAny ? Optional.of(result) : Optional.empty();
but is not constrained to execute sequentially.
The accumulator
function must be an
associative function.
This is a terminal operation.
accumulator
- an associative,
non-interfering,
stateless
function for combining two valuesOptional
describing the result of the reductionNullPointerException
- if the result of the reduction is nullreduce(Object, BinaryOperator)
,
min(Comparator)
,
max(Comparator)
<U> U reduce(U identity, BiFunction<U,? super T,U> accumulator, BinaryOperator<U> combiner)
U result = identity;
for (T element : this stream)
result = accumulator.apply(result, element)
return result;
but is not constrained to execute sequentially.
The identity
value must be an identity for the combiner
function. This means that for all u
, combiner(identity, u)
is equal to u
. Additionally, the combiner
function
must be compatible with the accumulator
function; for all
u
and t
, the following must hold:
combiner.apply(u, accumulator.apply(identity, t)) == accumulator.apply(u, t)
This is a terminal operation.
U
- The type of the resultidentity
- the identity value for the combiner functionaccumulator
- an associative,
non-interfering,
stateless
function for incorporating an additional element into a resultcombiner
- an associative,
non-interfering,
stateless
function for combining two values, which must be
compatible with the accumulator functionreduce(BinaryOperator)
,
reduce(Object, BinaryOperator)
<R> R collect(Supplier<R> supplier, BiConsumer<R,? super T> accumulator, BiConsumer<R,R> combiner)
ArrayList
, and elements are incorporated by updating
the state of the result rather than by replacing the result. This
produces a result equivalent to:
R result = supplier.get();
for (T element : this stream)
accumulator.accept(result, element);
return result;
Like reduce(Object, BinaryOperator)
, collect
operations
can be parallelized without requiring additional synchronization.
This is a terminal operation.
R
- type of the resultsupplier
- a function that creates a new result container. For a
parallel execution, this function may be called
multiple times and must return a fresh value each time.accumulator
- an associative,
non-interfering,
stateless
function for incorporating an additional element into a resultcombiner
- an associative,
non-interfering,
stateless
function for combining two values, which must be
compatible with the accumulator function<R,A> R collect(Collector<? super T,A,R> collector)
Collector
. A Collector
encapsulates the functions used as arguments to
collect(Supplier, BiConsumer, BiConsumer)
, allowing for reuse of
collection strategies and composition of collect operations such as
multiple-level grouping or partitioning.
If the stream is parallel, and the Collector
is concurrent
, and
either the stream is unordered or the collector is
unordered
,
then a concurrent reduction will be performed (see Collector
for
details on concurrent reduction.)
This is a terminal operation.
When executed in parallel, multiple intermediate results may be
instantiated, populated, and merged so as to maintain isolation of
mutable data structures. Therefore, even when executed in parallel
with non-thread-safe data structures (such as ArrayList
), no
additional synchronization is needed for a parallel reduction.
R
- the type of the resultA
- the intermediate accumulation type of the Collector
collector
- the Collector
describing the reductioncollect(Supplier, BiConsumer, BiConsumer)
,
Collectors
Optional<T> min(Comparator<? super T> comparator)
Comparator
. This is a special case of a
reduction.
This is a terminal operation.
comparator
- a non-interfering,
stateless
Comparator
to compare elements of this streamOptional
describing the minimum element of this stream,
or an empty Optional
if the stream is emptyNullPointerException
- if the minimum element is nullOptional<T> max(Comparator<? super T> comparator)
Comparator
. This is a special case of a
reduction.
This is a terminal operation.
comparator
- a non-interfering,
stateless
Comparator
to compare elements of this streamOptional
describing the maximum element of this stream,
or an empty Optional
if the stream is emptyNullPointerException
- if the maximum element is nulllong count()
return mapToLong(e -> 1L).sum();
This is a terminal operation.
boolean anyMatch(Predicate<? super T> predicate)
false
is returned and the predicate is not evaluated.
This is a short-circuiting terminal operation.
predicate
- a non-interfering,
stateless
predicate to apply to elements of this streamtrue
if any elements of the stream match the provided
predicate, otherwise false
boolean allMatch(Predicate<? super T> predicate)
true
is
returned and the predicate is not evaluated.
This is a short-circuiting terminal operation.
predicate
- a non-interfering,
stateless
predicate to apply to elements of this streamtrue
if either all elements of the stream match the
provided predicate or the stream is empty, otherwise false
boolean noneMatch(Predicate<? super T> predicate)
true
is
returned and the predicate is not evaluated.
This is a short-circuiting terminal operation.
predicate
- a non-interfering,
stateless
predicate to apply to elements of this streamtrue
if either no elements of the stream match the
provided predicate or the stream is empty, otherwise false
Optional<T> findFirst()
Optional
describing the first element of this stream,
or an empty Optional
if the stream is empty. If the stream has
no encounter order, then any element may be returned.
This is a short-circuiting terminal operation.
Optional
describing the first element of this stream,
or an empty Optional
if the stream is emptyNullPointerException
- if the element selected is nullOptional<T> findAny()
Optional
describing some element of the stream, or an
empty Optional
if the stream is empty.
This is a short-circuiting terminal operation.
The behavior of this operation is explicitly nondeterministic; it is
free to select any element in the stream. This is to allow for maximal
performance in parallel operations; the cost is that multiple invocations
on the same source may not return the same result. (If a stable result
is desired, use findFirst()
instead.)
Optional
describing some element of this stream, or an
empty Optional
if the stream is emptyNullPointerException
- if the element selected is nullfindFirst()
static <T> Stream.Builder<T> builder()
Stream
.T
- type of elementsstatic <T> Stream<T> empty()
Stream
.T
- the type of stream elementsstatic <T> Stream<T> of(T t)
Stream
containing a single element.T
- the type of stream elementst
- the single element@SafeVarargs static <T> Stream<T> of(T... values)
T
- the type of stream elementsvalues
- the elements of the new streamstatic <T> Stream<T> iterate(T seed, UnaryOperator<T> f)
Stream
produced by iterative
application of a function f
to an initial element seed
,
producing a Stream
consisting of seed
, f(seed)
,
f(f(seed))
, etc.
The first element (position 0
) in the Stream
will be
the provided seed
. For n > 0
, the element at position
n
, will be the result of applying the function f
to the
element at position n - 1
.
T
- the type of stream elementsseed
- the initial elementf
- a function to be applied to to the previous element to produce
a new elementStream
static <T> Stream<T> generate(Supplier<T> s)
Supplier
. This is suitable for
generating constant streams, streams of random elements, etc.T
- the type of stream elementss
- the Supplier
of generated elementsStream
static <T> Stream<T> concat(Stream<? extends T> a, Stream<? extends T> b)
T
- The type of stream elementsa
- the first streamb
- the second streamDracula Javadoc Sample, Made with Allan Im.


The DNS Cache Utilization report displays the size of the DNS cache in terms of entries and bytes for the time period specified.
How much cache memory is used? How many DNS entries are in the cache? Use the mouse to hover over a specific data point to see what the y values and exact timestamp were in relation to peaks.The Riverbed system reports on performance for periods up to one month. Due to performance and disk space considerations, the display granularity decreases with time passed since the data was sampled. The data is collected at a 5-minute granularity for the entire month.
1.
Select a report time interval of 5 minutes (5m), 1 hour (1h), 1 day (1d), 1 week (1w), All, or type a custom date. All includes statistics for the last 30 days.You can quickly see the newest data and see data points as they are added to the chart dynamically. To display the newest data, click Show newest data.


Woodstock Meets the Bible
by Moshe Herman(((CLICK BELOW TO HEAR AUDIO)))
The first purchase of the Jewish people in the Land of Israel is celebrated by forty-thousand Jews gathering in Hebron for Shabbat Chayei Sarah – and coincides with Secretary Pompeo’s dramatic announcement! First, Rabbi Yishai studies Abraham’s negotiations. Then, Rav Mike Feuer quests for Isaac’s bride. And finally, Malkah Fleisher tweets at her enemies!
Yishai Fleisher on Twitter: @YishaiFleisher
Yishai on Facebook


After almost 4 years of dating, Charlie decided that he was ready to
pop the question on Wednesday, December 21st, 2016. He called up his parents to make sure they
were on the same page, to get some advice, and to calm his nerves. They of course thought it was
a great idea, and offered some sage advice. Everyone was very excited, but the timing was not
great. On Friday, Charlie would be traveling to Maine to spend the holiday with Lindsay's family
in Maine. Everyone agreed it would be best to ask while in Maine, but he didn't have a ring
yet, let alone a plan of action.
Lindsay had dropped some hints about what kind of ring she wanted, so
Charlie had some idea of what to get, but basically no free time to get it before Friday. He
didn't want to get screwed over waltzing in to some diamond store in NYC, so decided it was
better to get a fake ring for the proposal, and pick one out with Lindsay after the proposal.
He picked up this cute but obviously not engagement-level ring and prepared for the next big
task: asking Lindsay's parents for their approval.
Lindsay's parents would be driving down from Maine on Thursday afternoon
to see a Broadway show before bringing them all up to Maine the next day. Ian was coming with
them, and Megan was meeting everyone in the city on Thursday as well. So Charlie needed to
figure out a way to talk to Terry and Sarah alone. This didn't go so well, since the family
always traveled as a group. Eventually Charlie found himself waiting with Ian and Megan for
Lindsay to finish work before they would drive the second car up. Terry and Sarah had left
slightly earlier, since they were stopping to see their friends Steve and Sherry on the way up. Charlie
decided this was about as good of an opportunity as he would get, and time was of the essence,
so he made some excuse to go outside, and called them up in the car as the drove out of the
city.
They were of course thrilled to hear the news, and immediately started
brainstorming ways to help with the proposal. They thought it would be difficult but possible to
get a ring in Maine before asking, and they all agreed it would be best to have a real ring for
the proposal if at all possible. So the two of them hatched a plan to help get a ring.
Everyone arrived in Maine on Friday night, December 23rd. Charlie
wanted to ask before Christmas so as not to take away from the excitement of that holiday, and
to minimize the stressful time of planning a secret proposal. That left only the next day to
ask! Fortunately, Lindsay's parents were up to the challenge. They woke up early and scouted
out some rings at a local jewelry store just down the road, and narrowed it to their three
favorites. Charlie had no idea that this happened, but took the hint when he was asked to help
Terry get the groceries and off they went to the jeweler. The rings were all beautiful, but it
was hard to decide between the final two. Charlie sent some pictures to his Mom and Dad to get
their opinion while they drove to the local Zales and Kay jewelers to make sure the prices were
reasonable. They found the prices were great, and reached a decision on this ring, so sped
through the grocery store and picked it up on the way home!
At this point it was almost noon on the 24th, and Charlie was a nervous
wreck. It had started to snow, so very soon after arriving back home, Charlie suggested that
Mia (the dog) needed a walk, and with the help of Sarah managed to get Lindsay to join him
without Ian or Megan as company. Sarah knew what was about to happen, and couldn't keep it a
secret after they left. This turned out to work well, as Megan thought quick and immediately
ran for her camera, got the zoom lens, and started tracking down the dog walkers.
Charlie had wanted to walk down to the riverbank to ask the question,
but the trail didn't go all the way there and Lindsay didn't think the trek was worth it with
almost a foot of snow on the ground. After all - they were just walking the dog. Charlie
started to panic, definitely lost concentration on the conversation, and tried to get her to
walk into the nearby Christmas tree fields as a next-best proposal location. She didn't go for
this either - thinking that footprints around the Christmas trees would be suspicious this time
of year, so Charlie finally gave in and decided to do it right there next to the trail.
Less than two hours after purchasing the ring, Lindsay and Charlie were
an engaged couple! The whole family had of course witnessed the event, and came down to
celebrate. Terry rode down on a snowmobile to pick them up, and everyone was very excited.
Charlie was so relieved that she said yes, and the proposal was complete, without any major
disasters.


{% extends 'base.html' %} {% load static dataset_tags user_tags %} {% block title %}ImPACT Notary Service - Datasets{% endblock %} {% block content %} {% if user.is_nsadmin or user in members_set %}
| Created By: {{ user.display_name }} | Created Date: {% now "D, M d, Y, H:i:s T" %} |
You are not currently logged in or not authorized to view this page


B | |
| bandit [Obandit.RangedBandit] | |
| bandit [Obandit.Bandit] | The internal data structure of the bandit algorithm. |
| banditEstimates [Obandit] | The inner state of a bandit that maintains estimates of arm means. |
| banditPolicy [Obandit] | The internal state of an Exp3 bandit |
R | |
| rangedAction [Obandit] | A ranged action: Action a in normal course of action, Reset a in case * the bandit was just restarted. |
| rangedBandit [Obandit] | The type of a bandit with a range. |


24. Perception
In the shadow of a tree with a dense, leafy canopy, one sees a number of light spots. Surprisingly, they all appear to be circular. Why? After all, the gaps between the leaves through which the sun shines are not likely to be circular.
 The image curve separating white pixels from black pixels is sometimes called the “outline” of the sphere. Show that the outline of a sphere, viewed in a perspective camera, can be an ellipse. Why do spheres not look like ellipses to you?
Consider an infinitely long cylinder of radius $r$ oriented with its axis along the $y$-axis. The cylinder has a Lambertian surface and is viewed by a camera along the positive $z$-axis. What will you expect to see in the image if the cylinder is illuminated by a point source at infinity located on the positive $x$-axis? Draw the contours of constant brightness in the projected image. Are the contours of equal brightness uniformly spaced?
Edges in an image can correspond to a variety of events in a scene. Consider Figure illuminationfigure (page illuminationfigure), and assume that it is a picture of a real three-dimensional scene. Identify ten different brightness edges in the image, and for each, state whether it corresponds to a discontinuity in (a) depth, (b) surface orientation, (c) reflectance, or (d) illumination.
A stereoscopic system is being contemplated for terrain mapping. It will consist of two CCD cameras, each having ${512}\times {512}$ pixels on a 10 cm $\times$ 10 cm square sensor. The lenses to be used have a focal length of 16 cm, with the focus fixed at infinity. For corresponding points ($u_1,v_1$) in the left image and ($u_2,v_2$) in the right image, $v_1=v_2$ because the $x$-axes in the two image planes are parallel to the epipolar lines—the lines from the object to the camera. The optical axes of the two cameras are parallel. The baseline between the cameras is 1 meter.
-
If the nearest distance to be measured is 16 meters, what is the largest disparity that will occur (in pixels)?
-
What is the distance resolution at 16 meters, due to the pixel spacing?
-
What distance corresponds to a disparity of one pixel?
Which of the following are true, and which are false?
-
Finding corresponding points in stereo images is the easiest phase of the stereo depth-finding process.
-
Shape-from-texture can be done by projecting a grid of light-stripes onto the scene.
-
Lines with equal lengths in the scene always project to equal lengths in the image.
-
Straight lines in the image necessarily correspond to straight lines in the scene.
Which of the following are true, and which are false?
-
Finding corresponding points in stereo images is the easiest phase of the stereo depth-finding process.
-
In stereo views of the same scene, greater accuracy is obtained in the depth calculations if the two camera positions are farther apart.
-
Lines with equal lengths in the scene always project to equal lengths in the image.
-
Straight lines in the image necessarily correspond to straight lines in the scene.
(Courtesy of Pietro Perona.) Figure bottle-figure shows two cameras at X and Y observing a scene. Draw the image seen at each camera, assuming that all named points are in the same horizontal plane. What can be concluded from these two images about the relative distances of points A, B, C, D, and E from the camera baseline, and on what basis?


A secret works only once, and is only available for 48 hours. Make sure when you give one of your real world
friends a secret they use it as soon as they can.
Warning: Never share secrets with Toons you donít know!
Toon Tip:
If you type a period in the chat window before typing anything else, the message will appear as a thought bubble
instead of a speech bubble and will stay on screen longer.
|
|
|
|
|
|
SpeedChat is a set of ready-made phrases you can use to talk to any Toon you like. Itís a great way to talk
about your ToonTasks, plan activities, strategize during a battle, and best of all, make friends.
|
|
|
Just click on the green SpeedChat button at the top left corner of the screen, and choose any phrase you want.
Every Toon in the area will hear what you have to say.
Toon Tip:
The SpeedChat phrases in the ToonTasks menu will change depending on what tasks you are working on. This is
an easy way to let your friends know what youíre up to.
|
|
|
If you want to talk to just one Toon, click on them! A small panel will appear with both
the blue chat button and the green SpeedChat button. Click the green button to whisper to that Toon using
the SpeedChat phrases. No other Toon will be able to see these private messages.
Toon Tip:
You can reply to another Toonís whisper by clicking on one of their whisper message bubbles.  Here are some practical examples to help you get started.
|
|
|
|
Saying hello -
Greet your friends when you jump into Toontown. Let them know youíre online, and ready to fight the Cogs with them!
|


Olimov Zair
Experienced Android Developer with a demonstrated history of working in the internet industry.
Skilled in C++, Android, Mobile Applications, Ubuntu, and Object-Oriented Programming (OOP).
My courses:
- MPP - Modern Programming Practices
- BDT - Big Data Technology
- BD - Big Data
- WAP - Web Programming
- Algorithms
My favorite books:
- Algorithm Design
- Authors:
- Michael T. Goodrich, Roberto Tamassia
- Year:
- 2001
- Introduction to Algorithms
- Authors:
- THOMAS H. CORMEN, CLIFFORD STEIN
- Year:
- 2009
- Data Structure and Algorithms
- Authors:
- Luca Del Tongo
- Year:
- 2008
My Moods:
happy:
sad:
Fun Facts About My Neighbors
- Mugi: He is a Ninja
- Tarlan: He is a King Of The North


Syro by Aphex Twin
Electronica legend Richard James returns 13 years after Drukqs. Syro features intricate electrofunk. Bubbling, watery tones dominate in the first track Minipop 67, whilst 180db_ comes across as more rave-inspired. The twelve tracks dip and dive, and build layer upon layer of varying repetitive beats.
At least for now by Benjamin Clementine
[]
Debut from the singer-songwriter and perhaps the best back story in the shortlist this year. Self-taught balladeer and formerly homeless, Benjamin was discovered in Paris while busking in the streets. Strange and beautiful. The vivid, royal shades that make up the stunning cover-art, featuring Clementine himself, echoes the rich, acoustic melodies of the tracks. This will have you digging out your old Nina Simone albums.
Architect by C Duncan
Exquisite, ethereal album. Garden is a favourite on BBC 6 Music, reminiscent of Fleet Foxes. This indie dream pop album seamlessly fuses lofty, chorale vocals with a folksy beat. Soft and murmuring There is a psychedelic shimmer On He Believes in Miracles and the title track.
Eska by Eska
[]
A distinctive singer. She effortlessly weaves together various musical elements: folk, soul, psychedelia and electronica, which she pairs with rousing lyrics. Why not download the album for free from our Freegal service?
How big, how blue, how beautiful by Florence + the machine
How big, how blue, how beautiful certainly lives up to its name. Welch’s powerful held notes and climatic articulation soar over bellowing, stripped-down guitar and drum bursts. Her debut Lungs was nominated in 2009. In the meantime she has gone from strength to strength headlining Glastonbury this year. Is 2015 the year Florence finally wins?
Matador by Gaz Coombes
Former singer of Brit Pop rockers Supergrass, Gaz Coombes’ new album Matador is a mature piece of work, with Radiohead influences. The English Ruse melds motorik stokes with clean, simmering one-note synth repetitions and harmonising, dubbed-over vocals.
Shedding Skin by Ghostpoet
Obaro Ejimiwe’s third album. This is more instrumental and less electronic than his previous work. Obaro’s lethargic vocals blend beautifully with blunt beats. However in this album, Ejimiwe has turned away from multiform trip-hop and has moved on to moody alt-rock that ebbs and flows. Indeed, both thematically and lyrically, Ghostpoet has also widened his scope beyond the boozy meditations on a direction-less existence in the inner-city, which defined his early work.
In colour by Jamie xx
Seven years in the making, In Colour was painstakingly put together in spare hours grabbed between work for Jamie xx’s band the xx, producing projects, and composing the score for a ballet. The electronic artist crafts atmospheric, relaxing music; making good use of vocal samples. The sound is expansive and anthemic, compounded of breakbeats and a pulsing synth.
Hairless toys by Róisín Murphy
There is disco, jazz and even some country on the third album by the voice of Moloko.
Are you satisfied? by Slaves
The loudest thing to come out of Tunbridge Wells for a while. The duo return with a reworking of 70s punk and blues-tinged pub-rock, featuring an inflection of British geezer hip hop.
Before we forgot how to dream by Soak
A portrait of the trials of growing up, mixed with a mature dissection of her thoughts and feelings. It is hard to believe Irish singer-songwriter Bridie Monds-Watson is only 18. Monds-Watson’s tender, husky voice reaches spine-tingling, silvery notes that compliment a humming guitar rhythm.
My love is cool by Wolf Alice
Definitely one of my picks for the best of 2015. After a series of EPs this was eagerly awaited and did not disappoint. A powerful grunge pop/alt rock album with a range of eclectic tracks. Light, tinkling notes shimmer through Turn to Dust, whilst Bros features a tinny cymbal sound, and the rousing Your Love’s Whore has a heavier, layered rhythm.


Function¶
Description¶
Wraps a built-in or JavaScript function.
Properties¶
| arguments | The function arguments, packed into an array. |
| arity readonly | The number of formal arguments. |
| length readonly | The number of formal arguments. |
| name readonly | The function name. |
Methods¶
| apply | Apply a this object and an argument list to a function. |
| call | Apply a this object and arguments to a function. |
| toSource | Creates a string representation of this object that can be fed back to eval() to re-create an object. Works only with JavaScript functions. |
| toString | Returns the function definition as a string. |


Many desktop publishing packages and web page editors now use Lorem Ipsum as their
default model text, and a search for 'lorem ipsum' will uncover many web sites still
in their infancy. Packages and web page editors now use Lorem Ipsum as their
default model text.
Lorem Ipsum as their
default model text, and a search for 'lorem ipsum' will uncover many web sites still
in their infancy. Packages and web page editors now use Lorem Ipsum as their
default model text.


Dial a Cat Fact IVR
Let us call you with random facts about cats.
Phone Number
Call placed
Source code for this example can be found:
https://github.com/KevinGlinski/DialACatFactIVR
See full documentation for our APIs here:
http://hackathonapi.inin.com/


We are legion, we are one.
Just a handful of enthusiasts working to make their life better
Flask App
Some text that describes me lorem ipsum ipsum lorem.
Email: gmail.com
Hobbiest Programmer
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Intermediate in Python
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Parisodan-Researcher's Ornament
MENU
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Meet the collaborators
Yashwant M
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Madhu Premvignesh
Back End Developer
Vishal Kumar Gupta
Front/Back End Developer


| lazy_ops {dbplyr} | R Documentation |
This set of S3 classes describe the action of dplyr verbs. These are currently used for SQL sources to separate the description of operations in R from their computation in SQL. This API is very new so is likely to evolve in the future.
op_base(x, vars, class = character()) op_single(name, x, dots = list(), args = list()) add_op_single(name, .data, dots = list(), args = list()) op_double(name, x, y, args = list()) op_grps(op) op_vars(op) op_sort(op) op_frame(op)
op_vars()
and op_grps()
compute the variables and groups from
a sequence of lazy operations. op_sort()
and op_frame()
tracks the
order and frame for use in window functions.


--- layout: post date: 2010-06-08 time: "09:00:00" authors: ["Greg Wilson"] title: "Episode 11: Making It Fast" tags: ["Content"] ---
Today's episode is the last in the series on program design using invasion percolation as an example. In it, we look at how to make the program we've developed so far run zillions of times faster. It's the longest episode so far, and probably the most difficult, but it makes two very important points:
Here's the complete list of episodes:


The safeSig <.io> KeyGuardAPI provides a secure HSM proxy that uses DMI Technology with two-pass validation to ensure that access to your cryptocurrency keys remains solely in your control.
HSM <--> safeSig <.io> KeyGuardAPI <--> Blockchain Application <--> Users
Reduce your attack surface by isolating your blockchain applications from direct HSM access to protect against key exposure and fund theft even if your blockchain application is fully rooted by attackers.
safeSig <.io> KeyGuardAPI reduces the attack surface for many types of attacks:
Chosen-PlainText Attacks
Side-Channel Attacks*
Key Dumps
Malicious Transaction Signing
Restrict and sanitize cryptocurrency signature and other key operation requests to your private keys with safeSig <.io> Cryptocurrency DMI Technology powering KeyGuardAPI.
Authorize and bind your private keys to sign specific cryptocurrency data messages:
Transactions [Amount, Origin, Destination, Time, scriptSigs, 2FA]
Blocks [Timestamp, Transactions, BlockReward, Version, Network]
Smart Contract Operations [Import your own ABI]
Take full control of restricting and granting user and application access rights with intuitive permission settings.
Add conditions for requiring multi-party 2FA for large amounts
View and audit logs for all signature requests and actions
Manage levels of access for employees
Keep track of signature operations across many DLTs
Instant “key-kill-switch” to instantly take your key offline to prevent signing new transactions*
safeSig <.io> KeyGuardAPI integrates with our BareMetalHSM, Azure Key Vault, AWS CloudHSM or your custom solution.
safeSig <.io> BareMetalHSM service provides dedicated FIPS 140-2 Level 3 Validated hardware.
Hosted in a SAS70 certified Tier 4 Data Center with 24-hour security and biometric restricted access.
safeSig <.io> BareMetalHSM is the only cloud HSM that quickly and easily supports BIP32 key management.
Secure BIP32 HSM key management support available.*
safeSig <.io> offers custom solutions for new signature schemes and operations.
*Only available with safeSig <.io> BareMetalHSM
For signature operations in DLT nodes/applications a private key is normally used locally to sign a message.
HSMs transfer the private key handling from the application server to a dedicated secure hardware device.
For an application to use an HSM it calls an API with credentials and a message payload for the key on the HSM to sign.
If an application is compromised the private key can be forced to sign messages chosen by the attacker.
The attacker can perform a time consuming chosen-plaintext attack to reveal the private keys.
But it is much easier to send the HSM a payload to sign that gives the attacker all of the funds secured by your keys…
KeyGuardAPI sits in between the application and the HSM and firewalls each signature request to the HSM.
If the request does not fit the configured validation requirements it is rejected and does not reach your HSM.
Once messages are signed by the HSM they are sanitized again to ensure safe data is returned to the application.
This prevents even the most determined hackers from gaining unintended access to your private keys.
safeSig <.io> never has unencrypted access to your private keys
DLT Block Producers/Validators
Cryptocurrency Exchanges and Trading Platforms
Cryptocurrency Mining and Staking Pools
Layer 2 Cryptocurrency Payment Nodes and Relays
Compliant Cryptocurrency Businesses
Jun 10, 2018 Using HSMs for blockchain applications
June 9, 2018 How to secure keys stored in HSMs from unauthorized requests
June 8, 2018 Hardware security and cryptocurrency keys
safeSig <.io> was created with in San Francisco by cryptographers and blockchain security professionals.


{% extends "base.html" %} {% block content %}
Scrape data from {{ bank_list|length }} banks to show the current USD foreign exchange rate, sort in descending order of rate and show percentage difference from the highest.{% include "banks-dropdown.html" %}
| # | Bank Name | USD Buying | USD Diff (%) |
|---|---|---|---|
| {{ loop.index }} | {{ rate['symbol'] }} | {{ 'NRs. %s' | format(rate['rate']) }} | {{ rate['diff'] }} |


"x" "1" "MOROOKA,N, NAKANO,S, ITOI,N AND UENO,Y, THE CHEMICAL STRUCTURE AND THEMUTAGENICITY OF EMODIN METABOLITES, AGRIC. BIOL. CHEM. 54(5):1247-1252,1990"


| ps_memory_info {ps} | R Documentation |
A list with information about memory usage. Portable fields:
rss
: "Resident Set Size", this is the non-swapped physical memory a
process has used. On UNIX it matches "top"‘s 'RES' column (see doc). On
Windows this is an alias for wset
field and it matches "Memory"
column of taskmgr.exe
.
vmem
: "Virtual Memory Size", this is the total amount of virtual
memory used by the process. On UNIX it matches "top"‘s 'VIRT' column
(see doc). On Windows this is an alias for the pagefile
field and
it matches the "Working set (memory)" column of taskmgr.exe
.
ps_memory_info(p = ps_handle())
p |
Process handle. |
Non-portable fields:
shared
: (Linux) memory that could be potentially shared with other
processes. This matches "top"‘s 'SHR' column (see doc).
text
: (Linux): aka 'TRS' (text resident set) the amount of memory
devoted to executable code. This matches "top"‘s 'CODE' column (see
doc).
data
: (Linux): aka 'DRS' (data resident set) the amount of physical
memory devoted to other than executable code. It matches "top"‘s
'DATA' column (see doc).
lib
: (Linux): the memory used by shared libraries.
dirty
: (Linux): the number of dirty pages.
pfaults
: (macOS): number of page faults.
pageins
: (macOS): number of actual pageins.
For on explanation of Windows fields see the PROCESS_MEMORY_COUNTERS_EX structure.
Throws a zombie_process()
error for zombie processes.
Named real vector.
Other process handle functions:
ps_children()
,
ps_cmdline()
,
ps_connections()
,
ps_cpu_times()
,
ps_create_time()
,
ps_cwd()
,
ps_descent()
,
ps_environ()
,
ps_exe()
,
ps_handle()
,
ps_interrupt()
,
ps_is_running()
,
ps_kill()
,
ps_name()
,
ps_num_fds()
,
ps_num_threads()
,
ps_open_files()
,
ps_pid()
,
ps_ppid()
,
ps_resume()
,
ps_send_signal()
,
ps_shared_libs()
,
ps_status()
,
ps_suspend()
,
ps_terminal()
,
ps_terminate()
,
ps_uids()
,
ps_username()
p <- ps_handle() p ps_memory_info(p)


Community Based
Based on publicly available machine learning research and leading open source solutions. Contribute with research or create a plugin using your open source machine learning library or implementation.
Apache 2.0 Licensed
All our code is open sourced under the Apache 2.0 license. Use Simply.ml to deliver modern and reliable machine learning-based functionality.
Customizable
Customize our docker image to include exactly the functionality you want. Easily extend a running system with our hot-plugin system, allowing you to easily add new machine learning functionality as it becomes available.


Am just a back end developer who loves ruby so much. Am still a student and i belong to a society called loxp (league of xtra ordinary programmers) we look to making the world a better place. I guess blogging will be a fun thing to do. If uou like this website you can make reviews and let me know and also you can contact me if you are a good front end developer
If you have any questions, comments, or would just like to PING ME, please don’t hesitate to send me an email.


profile_path: - https://raw.githubusercontent.com/google/rekall-profiles
To browse the content of the profile repository, please visit https://github.com/google/rekall-profiles


This package implements a path algorithm for Near-Isotonic Regression. For more details see the help files
| Version: | 1.0 |
| Depends: | R (≥ 2.0.0) |
| Published: | 2011-01-03 |
| Author: | Holger Hoefling, Ryan Tibshirani, Robert Tibshirani |
| Maintainer: | Holger Hoefling <hhoeflin at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| CRAN checks: | neariso results |
| Reference manual: | neariso.pdf |
| Package source: | neariso_1.0.tar.gz |
| Windows binaries: | r-devel: neariso_1.0.zip, r-release: neariso_1.0.zip, r-oldrel: neariso_1.0.zip |
| OS X binaries: | r-release: neariso_1.0.tgz, r-oldrel: neariso_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=neariso to link to this page.


Reconstruction / Reference
Do not zoom the page during reconstruction, this will result in improper results.


Subsidystories.eu intends to increase transparency of EU-Funds by unravelling how the European Structural Investment Funds are spent at the local level. We publish here all the beneficiary data available in different portals everywhere in one place: search and analyse!
Explore the available data. Click on the map, choose from the dropdown list or the country list on the right-hand side.


HTML Report
The HTML Report tool
shows the standard ZAP HTML report in a new window or tab (depending on your browser's configuration).
It is not shown by default so you will need to add it to a panel as described in the Tools Configuration tutorial page.


!= include('css'); ?>
freee API Playground
GitHub
token refresh
your accesstoken
request
GET
POST
PUT
DELETE
payload（JSON）
response
with headers
response_histories
!= include('js'); ?>


Lorem ipsum dolor sit amet, consectetur adipisicing elit.
Python Programming
Statistics and probability
SQL through python
Hypothesis testing
Regression
Classification
K-mean clustering
K-Nearest Neighbor


THE WITCHES OF EASTWICK (Spoilers) A film review by Jeff Meyer Copyright 1987 Jeff Meyer
I'm not sure I should be writing a review of THE WITCHES OF EASTWICK, because I'm not sure just what the hell (pardon the expression) was going on in it. However, I can express the most important observation I made of it, i.e. I didn't like it. If I had to summarize this film, I think I'd conclude it was an updating of one of those old New England folk tales of someone selling their souls to Old Scratch and how they try to get out of the deal. That's the kernel of it, anyway. Tossed into this are little bits and pieces that occasionally seem to be saying something about men and women, feminism, the role of the devil, modern reformers, and friendship. Unfortunately, little or no effort is ever made to follow up and elucidate on these concepts; they're simply thrown out and then left to rot while the film goes on apace.
Actually, I think that most of the audience was even more confused than I was. They came in expecting some kind of supernatural comedy, on the level of GHOSTBUSTERS, and were a bit confused to be getting a folk tale with philosophical overtones. They laughed, or tried to laugh, at moments that were either barely funny, or much more horrible than funny, as if that could bend the film away from it's rather frightening direction. Three women (Cher, Susan Sarandon, and Michelle Pfieffer) live in Eastwick, a small midwestern town. One night, while drinking late into the evening, they begin wishing for the ideal man to drop into their lives. In seeming answer to their idle daydreams, a wealthy eccentric moves into a mansion on the hill and seduces each one by attempting to be everything they want him to be. He soon shows evidence of mystical--perhaps demonic--power, and his devotion to the women's merest fantasies or wishes has dangerous overtones. Even worse, when ignored his moods become ugly, and he mistreats the women for spurning him.
Anyway, the problems: all three female characters are fairly uninteresting, and several are cardboard stereotypes, especially Sarandon's character. We never get inside them, never feel sympathetic to them, because their dialogue and personalities seem pretty bland. As for Nicholson, well, even The Devil needs a direction to go in, and while Darryl Van Horne is the most interesting character in the movie (due to the grace of the screenwriter and, more importantly, Nicholson's acting), he still can't be yanked in one direction and then another without making him a little vague. And then there's the special effects. Not in themselves--they weren't that good--but their overuse. I was almost positive, until I saw the credits, that THE WITCHES OF EASTWICK was either produced by Alexander Salkind (who has turned out the slop named SUPERMAN II and III and SUPERGIRL), because of the big name actors in dopy stunts, or Stephen Spielberg, after the 18th vomit scene and the Nicholson-blown-down-the-street stunt. Nope, it's another bunch of guys, and directed by George Miller, who has shown great skill with stunts/special effects before (THE ROAD WARRIOR, "Nightmare at 20,00 Feet" episode of TWILIGHT ZONE: THE MOVIE) but apparently doesn't know when to turn off the wind machine and let his people act. F'gawds sake, guys, this is JACK NICHOLSON! Let him loose! Let him grin demonically! Skip the splitting earth and fake lightning! Watching the scene where Nicholson is tossed out of the car by the voodoo doll, all I could think of was, "What a waste". If you're going to use slapstick like that, use it up on Pee Wee Herman.
Nicholson does what he can with the role, and when he can find his bearings, can be extremely good (the scene in the church, for instance), but most of the time, he seems a bit stiff, as if he's not sure what he should be doing next. And no wonder. This script goes all over the map, giving you the feeling that it'd just love to be allegory, but it's not sure about what-- maybe if you give it time it'll think of something.
So what is THE WITCHES OF EASTWICK? A horror movie? A folk tale? A comedy? A statement about women? An examination of the religious right or comparitive morality? I tend to think of the image that seems to dominate the movie for me...watching someone regurgitate half-digested bits of food and cherry pits all over rooms, people, the screen, and ultimately, the audience. In other words, a mess. Grade: D ($2.00) if you like Nicholson enough to watch him here; maybe 25% of his charm is able to make it through the logjams of others.
Moriarty, aka Jeff Meyer INTERNET<EMAIL_ADDRESS>Manual UUCP: {uw-beaver, sun, allegra, hplsla, lbl-csam}!fluke!moriarty
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Today the lesson is divided in two parts.
Earthquake Excitation
After a visual introduction to the variety of different earthquake excitations, we define the response spectrum in terms of peak deformation as a function of SDOF characteristics.
Pseudo spectra (velocity and accelerations) simply replicate the information in the deformation response spectrum, but are convenient as they directly relate to different aspects of structural response.
From statistical analysis it is possible to infer some common characteristics of response spectra and develop an idealized model of a consistent set of response spectra in terms of simple parameters of the ground motion.
Design spectra are envelopes () of spectral response ordinates.
Structures designed to remain elastic during a large earthquake are antieconomical, it is custumary to design for reduced lateral forces, accepting a controlled level of damage during a large earthquake.
A commonly used idealization of complex force-displacement relationships is the elastic-perfectly plastic model.
For a given excitation we compute the ductility ratio (e-p peak displacement over yield displacement) as a function of the normalized yield force: the ductility is a measure of the structure excursion into plastic range, and indirectly of structural damage.
Reversing the reasoning and the line of flow of the computation, we need to know the normalized yield force that give rise to a ductility demand that is deemed acceptable for a particular class of structures.
From the normalized yield force we derive the yield displacement (simply dividing by k) and repeating the procedure for different levels of ductility demand it is possible to construct a yield displacement response spectrum.
Finally it is possible to introduce an inelastic design spectrum using a mean value of the rduction factor, different for different vibration period ranges.
Material available for the lesson:
- the slides for the first part and
- the slides for the second one
- a ready to print version of the first slides (due to an excess of slides superposition, the ready to print pdf has some broken pages, please compare with the slides).
- a ready to print version of the second slides.


| 002:066 Khan | : |
So We made this punishment an example to their own and to succeeding generations and a lesson to those who are Al-Muttaqun (the pious). |
| 002:066 Maulana | : |
So We made them an example to those who witnessed it and those who came after it and an admonition to those who guard against evil. |
| 002:066 Pickthal | : |
And We made it an example to their own and to succeeding generations, and an admonition to the Allah-fearing. |
| 002:066 Rashad | : |
We set them up as an example for their generation, as well as subsequent generations, and an enlightenment for the righteous. |
| 002:066 Sarwar | : |
in order to set up an example for their contemporaries and coming generations and to make it a reminder for the pious. |
| 002:066 Shakir | : |
So We made them an example to those who witnessed it and those who came after it, and an admonition to those who guard (against evil). |
| 002:066 Sherali | : |
Thus WE made it an example to those of its time and to those who came after it, and a lesson to those who fear God. |
| 002:066 Yusufali | : |
So We made it an example to their own time and to their posterity, and a lesson to those who fear Allah. |
Concepts/Themes Covered: الديانات > بنو إسرائيل > أصحاب السبت Religions>Children of Israel>Al-Sabt(Saturday) People الديانات > بنو إسرائيل > حالاتهم Religions>Children of Israel>Their Status الديانات > بنو إسرائيل > معاندتهم و تكذيبهم و قتلهم الأنبياء Religions>Children of Israel> Their Opposition, their Denial and their Killing the Prophets
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


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This is the annual refresh, so all organisations currently on the register must successfully reapply to maintain their place on it.
As part of the annual refresh, we have:
These changes form part of our plans to deliver a simple and consistent approach to supplier selection.
Organisations must complete and pass our due diligence questions to appear on the register. Organisations that complete and pass both our due diligence and capacity and capability questions will be invited to compete for future funding opportunities.
Organisations can access the questions on our e-tendering portal , when we are open for applications. Our new guidance document will support organisations with this.
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There are a series of configuration tasks which you can perform when using the Hash access method. They are described in the following sections.
The density, or page fill factor, is an approximation of the number of keys allowed to accumulate in any one bucket, determining when the hash table grows or shrinks. If you know the average sizes of the keys and data in your data set, setting the fill factor can enhance performance. A reasonable rule to use to compute fill factor is:
(pagesize - 32) / (average_key_size + average_data_size + 8)
The desired density within the hash table can be specified by calling the DB->set_h_ffactor() method. If no density is specified, one will be selected dynamically as pages are filled.
The database hash determines in which bucket a particular key will reside. The goal of hashing keys is to distribute keys equally across the database pages, therefore it is important that the hash function work well with the specified keys so that the resulting bucket usage is relatively uniform. A hash function that does not work well can effectively turn into a sequential list.
No hash performs equally well on all possible data sets. It is possible that applications may find that the default hash function performs poorly with a particular set of keys. The distribution resulting from the hash function can be checked using the db_stat utility. By comparing the number of hash buckets and the number of keys, one can decide if the entries are hashing in a well-distributed manner.
The hash function for the hash table can be specified by calling the DB->set_h_hash() method. If no hash function is specified, a default function will be used. Any application-specified hash function must take a reference to a DB object, a pointer to a byte string and its length, as arguments and return an unsigned, 32-bit hash value.
When setting up the hash database, knowing the expected number of elements that will be stored in the hash table is useful. This value can be used by the Hash access method implementation to more accurately construct the necessary number of buckets that the database will eventually require.
The anticipated number of elements in the hash table can be specified by calling the DB->set_h_nelem() method. If not specified, or set too low, hash tables will expand gracefully as keys are entered, although a slight performance degradation may be noticed. In order for the estimated number of elements to be a useful value to Berkeley DB, the DB->set_h_ffactor() method must also be called to set the page fill factor.


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| Land Cost | 2.724% |
| Per Acre Cost | |
| Very Low | 100% |
| Low | 75% |
| Medium | 50% |
| High | 25% |
| Very High | 0% |
| Developed Park/Zone | 3.63% |
| Ies/SEZs status | |
| Highly Developed | 100% |
| Developed | 75% |
| Partly Developed | 50% |
| Under dDeveloped | 25% |
| Not Developed | 0% |
| Quality (Risks involved) | 2.724% |
| Soil Quality/Conditions | |
| Highly Suitable for Mega Constructions | 100% |
| Suitable for Mega Constructions | 75% |
| Low Suitable for Mega Constructions | 50% |
| Very Low Suitable for Mega Constructions | 25% |
| Not Suitable | 0% |
| Total Industrial Site Weight | 9% |


--- title: SmartTree layout: default bodyClass: page-home ---
We've taken the complexity out of IT. Our simple packages are straight forward to understand and meet the requirements of your business.


Use the buttons below to explore data collected from 640 LEAP and LEAP-on participants at 1836 study visits.
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StandardsOnly() |
Selects standard contracts |
IncludeWeeklys() |
Selects non-standard weekly contracts |
WeeklysOnly() |
Selects weekly contracts |
FrontMonth() |
Selects the front month contract |
BackMonths() |
Selects the non-front month contracts |
BackMonth() |
Selects the back month contracts
|
Expiration(TimeSpan minExpiry, TimeSpan maxExpiry) Expiration(minExpiry: timedelta, maxExpiry: timedelta) |
Selects contracts that expire within a range of dates relative to the current day
|
Expiration(int minExpiryDays, int maxExpiryDays) Expiration(minExpiryDays: int, maxExpiryDays: int) |
Selects contracts that expire within a range of dates relative to the current day |
Contracts(IEnumerable<Symbol> contracts) Contracts(contracts: List[Symbol]) |
Selects a list of contracts |
Contracts(Func<IEnumerable<Symbol>, IEnumerable< Symbol>> contractSelector) Contracts(contractSelector: Callable[[List[Symbol]], List[Symbol]]) |
Selects contracts that a selector function selects |
OnlyApplyFilterAtMarketOpen() |
Instructs the engine to only filter contracts on the first time step of each market day |


Hi! I'm front-end developer. I like make and create, I think web development greatly merges both. These are some of my skills
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@import general._ @import models._ @import controllers._ @** * This page is intended to allow users to get to a specific location page via a typeahead * search bar. When a location is selected, the ID is set in a hidden field, which is * then submitted to the JavaScript function that formats the URL and directs the browser. * * locations: A list of all the locations in the municipality specified. *@ @(city: String, query: String, locations: Seq[SlimLocation], lax: Boolean)(implicit lang: Lang) @scripts = { } @mainBody(title = Messages("locations.search.title", query), moreScripts = scripts, hasFooter = true) { @headingSmall(Messages("general.applicationName"))
| @Messages("locations.search.rankSymbol") | @Messages("locations.search.name") | @Messages("locations.search.address") |
|---|---|---|
| @(locationWithIndex._2+1) | @locationWithIndex._1.name | @locationWithIndex._1.address |


{% load static %}
Section Type: {{section.0.num_type}}
Number of credits: {{ section.0.course_courseid.credits }}
Capacity: {{section.1}}/{{section.0.capacity}}
Days: {{section.2}}
Start Time: {{section.0.start_time}}
End Time: {{section.0.end_time}}
Instructors: {{ section.3 }}
Room: {{section.0.room}}