public final class LogMath extends java.lang.Object implements Configurable, java.io.Serializable
edu.cmu.sphinx.util.LogMath.logBase
| Modifier and Type | Field and Description |
|---|---|
static java.lang.String |
PROP_LOG_BASE
The property to get the Log base.
|
static java.lang.String |
PROP_USE_ADD_TABLE
The property that controls whether we use the old, slow (but correct) method of performing the LogMath.add by
doing the actual computation.
|
| Constructor and Description |
|---|
LogMath() |
LogMath(float logBase,
boolean useAddTable) |
| Modifier and Type | Method and Description |
|---|---|
float |
addAsLinear(float logVal1,
float logVal2)
Returns the summation of two numbers when the arguments and the result are in log.
|
float |
getLogBase()
Returns the actual log base.
|
static float |
getLogOne()
Returns the one value in the log domain
|
static float |
getLogZero()
Returns the zero value in the log domain
|
boolean |
isUseAddTable() |
float |
linearToLog(double linearValue)
Converts the value from linear scale to log scale.
|
void |
linearToLog(float[] vector)
Converts a vector from linear domain to log domain using a given
LogMath -instance for conversion. |
float |
lnToLog(float logSource)
Converts the source, which is a number in base Math.E, to a log value which base is the LogBase of this LogMath.
|
static float |
log10(float value)
Returns the log (base 10) of value
|
float |
log10ToLog(float logSource)
Converts the source, which is a number in base 10, to a log value which base is the LogBase of this LogMath.
|
double |
logToLinear(float logValue)
Converts the value from log scale to linear scale.
|
void |
logToLinear(float[] vector,
float[] out)
Converts a vector from log to linear domain using a given
LogMath -instance for conversion. |
float |
logToLn(float logSource)
Converts the source, whose base is the LogBase of this LogMath, to a log value which is a number in base Math.E.
|
static float |
logToLog(float logSource,
float sourceBase,
float resultBase)
Converts the source, which is assumed to be a log value whose base is sourceBase, to a log value whose base is
resultBase.
|
void |
newProperties(PropertySheet ps)
This method is called when this configurable component needs to be reconfigured.
|
float |
subtractAsLinear(float logMinuend,
float logSubtrahend)
Returns the difference between two numbers when the arguments and the result are in log.
|
@S4Double(defaultValue=1.0001) public static final java.lang.String PROP_LOG_BASE
@S4Boolean(defaultValue=true) public static final java.lang.String PROP_USE_ADD_TABLE
public LogMath(float logBase, boolean useAddTable)
public LogMath()
public void newProperties(PropertySheet ps) throws PropertyException
Configurable
newProperties
in interface Configurable
ps
- a property sheet holding the new dataPropertyException
- if there is a problem with the properties.public final float addAsLinear(float logVal1, float logVal2)
subtractAsLinear(a, b)
is *not* the same as
addAsLinear(a, -b)
, since we're in the log domain, and -b is in fact the inverse. No
underflow/overflow check is performed. logVal1
- value in log domain (i.e. log(val1)) to addlogVal2
- value in log domain (i.e. log(val2)) to addpublic final float subtractAsLinear(float logMinuend, float logSubtrahend) throws java.lang.IllegalArgumentException
logMinuend
- value in log domain (i.e. log(minuend)) to be subtracted fromlogSubtrahend
- value in log domain (i.e. log(subtrahend)) that is being subtractedjava.lang.IllegalArgumentException
- This is a very slow way to do this, but this method should rarely be used.
public static float logToLog(float logSource, float sourceBase, float resultBase) throws java.lang.IllegalArgumentException
logSource
- log value whose base is sourceBasesourceBase
- the base of the log the sourceresultBase
- the base to convert the source log tojava.lang.IllegalArgumentException
public final float lnToLog(float logSource)
logSource
- the number in base Math.E to convertpublic final float log10ToLog(float logSource)
logSource
- the number in base Math.E to convertpublic final float logToLn(float logSource)
logSource
- the number to convert to base Math.Epublic final float linearToLog(double linearValue) throws java.lang.IllegalArgumentException
linearValue
- the value to be converted to log scalejava.lang.IllegalArgumentException
public final double logToLinear(float logValue)
logValue
- the value to be converted to the linear scalepublic static float getLogZero()
public static float getLogOne()
public final float getLogBase()
public boolean isUseAddTable()
public static float log10(float value)
value
- the value to take the log ofpublic void linearToLog(float[] vector)
LogMath
-instance for conversion.public void logToLinear(float[] vector, float[] out)
LogMath
-instance for conversion.


@()(implicit request: RequestHeader, context: model.ApplicationContext)
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Compound probability is the probability of joint occurrence of two or more simple events.
Set Theory is a branch of mathematics concerned with the description and definition of sets, which are collections of objects. In the context of probability theory, we use set notation to describe compound events. Below is a set calculator*. Build a set by pressing on the different events and operators, then press submit to see your set highlighted in the Venn diagram. You can also move and resize the circles by drag and drop.
You might notice that certain combinations of sets and operators result in the same highlighted section in the Venn diagram. Set identities are laws of set theory that allow you to simplify set algebra. See the following link for a complete list of set identities.
*Please note there are still some small errors in the calculator currently being fixed.
Combinatorics is a branch of mathematics concerned with counting sequences and sets of objects. For example imagine we have a bag of uniquely colored marbles and I ask you to pick some number of the marbles at random without replacement. How many different sequences (permutations) of the marbles are there? How many different sets (combinations)? Choose a size below representing the number of marbles in the bag. Then using the slider on the left visualize the number of permutations and combinations of marbles.
Permutations represent unique orderings of objects in a set. We can determine the exact number of permutations with the following formula:
$$P(n,r) = \dfrac{n!}{(n-r)!}$$\(n\) represents the total number of objects to pick from and \(r\) represents the number of objects being chosen.
Conditional probability is a measure of the probability of an event given another event has occurred. It can be expressed mathematically as the following:
$$P(A|B) = \dfrac{P(A \cap B)}{P(B)}$$To visualize this concept move and rescale the shelfs by drag and drop and toggle the current perspective. What is the probability a ball lands on a shelf? What is the probability given the ball has or will hit another shelf?
This visualization was adapted from Victor Powell's fantastic visualization of conditional probability.


Latest polls
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Thanks to Sid Balachandran for sharing their work on Unsplash.
Thanks to Jonah Pettrich for sharing their work on Unsplash.


%include templates/parts/head.html
Here are the help hours for CS106B: both LAIR hours (starting week 2) and office hours. Both Chrises hold office hours by appointment in addition.


Word Guess
Guess the name of this character!
Secret Word:
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RMSprop
Optimizer that implements the RMSprop algorithm.
Inherits From: Optimizer
tf.compat.v1.keras.optimizers.RMSprop
tf.compat.v2.keras.optimizers.RMSprop
tf.compat.v2.optimizers.RMSprop
tf.optimizers.RMSprop
A detailed description of rmsprop.
$$mean_square_t = rho * mean_square{t-1} + (1-rho) * gradient ** 2$$ $$mom_t = momentum * mom_{t-1} + learning_rate * gradient / \sqrt{ / mean_square_t + \epsilon}$$ $$variable_t := variable_{t-1} - mom_t$$
This implementation of RMSprop uses plain momentum, not Nesterov momentum.
The centered version additionally maintains a moving average of the gradients, and uses that average to estimate the variance:
$$mean_grad_t = rho * mean_grad_{t-1} + (1-rho) * gradient$$ $$mean_square_t = rho * mean_square_{t-1} + (1-rho) * gradient 2$$ $$mom_t = momentum * mom_{t-1} + learning_rate * gradient / sqrt(mean_square_t - mean_grad_t2 + epsilon)$$ $$variable_t := variable_{t-1} - mom_t$$
References See ([pdf] http://www.cs.toronto.edu/~tijmen/csc321/slides/lecture_slides_lec6.pdf).
__init__
__init__( learning_rate=0.001, rho=0.9, momentum=0.0, epsilon=1e-07, centered=False, name='RMSprop', **kwargs )
Construct a new RMSprop optimizer.
Note that in the dense implementation of this algorithm, variables and their
corresponding accumulators (momentum, gradient moving average, square
gradient moving average) will be updated even if the gradient is zero
(i.e. accumulators will decay, momentum will be applied). The sparse
implementation (used when the gradient is an IndexedSlices
object,
typically because of tf.gather
or an embedding lookup in the forward pass)
will not update variable slices or their accumulators unless those slices
were used in the forward pass (nor is there an "eventual" correction to
account for these omitted updates). This leads to more efficient updates for
large embedding lookup tables (where most of the slices are not accessed in
a particular graph execution), but differs from the published algorithm.
learning_rate
: A Tensor or a floating point value. The learning rate.rho
: Discounting factor for the history/coming gradientmomentum
: A scalar tensor.epsilon
: Small value to avoid zero denominator.centered
: If True, gradients are normalized by the estimated variance of
the gradient; if False, by the uncentered second moment. Setting this to
True may help with training, but is slightly more expensive in terms of
computation and memory. Defaults to False.name
: Optional name prefix for the operations created when applying
gradients. Defaults to "RMSprop". @compatibility(eager) When eager
execution is enabled, learning_rate
, decay
, momentum
, and
epsilon
can each be a callable that takes no arguments and returns the
actual value to use. This can be useful for changing these values across
different invocations of optimizer functions. @end_compatibility**kwargs
: keyword arguments. Allowed to be {clipnorm
, clipvalue
, lr
,
decay
}. clipnorm
is clip gradients by norm; clipvalue
is clip
gradients by value, decay
is included for backward compatibility to
allow time inverse decay of learning rate. lr
is included for backward
compatibility, recommended to use learning_rate
instead.iterations
Variable. The number of training steps this Optimizer has run.
weights
Returns variables of this Optimizer based on the order created.
add_slot
add_slot( var, slot_name, initializer='zeros' )
Add a new slot variable for var
.
add_weight
add_weight( name, shape, dtype=None, initializer='zeros', trainable=None, synchronization=tf.VariableSynchronization.AUTO, aggregation=tf.compat.v1.VariableAggregation.NONE )
apply_gradients
apply_gradients( grads_and_vars, name=None )
Apply gradients to variables.
This is the second part of minimize()
. It returns an Operation
that
applies gradients.
grads_and_vars
: List of (gradient, variable) pairs.name
: Optional name for the returned operation. Default to the name
passed to the Optimizer
constructor.An Operation
that applies the specified gradients. If global_step
was not None, that operation also increments global_step
.
TypeError
: If grads_and_vars
is malformed.ValueError
: If none of the variables have gradients.from_config
from_config( cls, config, custom_objects=None )
Creates an optimizer from its config.
This method is the reverse of get_config
,
capable of instantiating the same optimizer from the config
dictionary.
config
: A Python dictionary, typically the output of get_config.custom_objects
: A Python dictionary mapping names to additional Python
objects used to create this optimizer, such as a function used for a
hyperparameter.An optimizer instance.
get_config
get_config()
Returns the config of the optimimizer.
An optimizer config is a Python dictionary (serializable) containing the configuration of an optimizer. The same optimizer can be reinstantiated later (without any saved state) from this configuration.
Python dictionary.
get_gradients
get_gradients( loss, params )
Returns gradients of loss
with respect to params
.
loss
: Loss tensor.params
: List of variables.List of gradient tensors.
ValueError
: In case any gradient cannot be computed (e.g. if gradient
function not implemented).get_slot
get_slot( var, slot_name )
get_slot_names
get_slot_names()
A list of names for this optimizer's slots.
get_updates
get_updates( loss, params )
get_weights
get_weights()
minimize
minimize( loss, var_list, grad_loss=None, name=None )
Minimize loss
by updating var_list
.
This method simply computes gradient using tf.GradientTape
and calls
apply_gradients()
. If you want to process the gradient before applying
then call tf.GradientTape
and apply_gradients()
explicitly instead
of using this function.
loss
: A callable taking no arguments which returns the value to minimize.var_list
: list or tuple of Variable
objects to update to minimize
loss
, or a callable returning the list or tuple of Variable
objects.
Use callable when the variable list would otherwise be incomplete before
minimize
since the variables are created at the first time loss
is
called.grad_loss
: Optional. A Tensor
holding the gradient computed for loss
.name
: Optional name for the returned operation.An Operation that updates the variables in var_list
. If global_step
was not None
, that operation also increments global_step
.
ValueError
: If some of the variables are not Variable
objects.set_weights
set_weights(weights)
variables
variables()
Returns variables of this Optimizer based on the order created.


{% include shared/head.html %} {% include shared/header.html %} {% include home/call-to-action.html %}


Grave Robber Leader Kanemika:
You already did what I asked today, remember?
Thanks, but I don't need anything else right now.
(You can only undertake this quest once a day.)


A BID FOR FORTUNE OR; DR. NIKOLA'S VENDETTA
Author of “Dr. Nikola,” “The Beautiful White Devil,” etc., etc.
The Project Gutenberg EBook of A Bid for Fortune, by Guy Boothby
This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at www.gutenberg.org
Title: A Bid for Fortune or Dr. Nikola’s Vendetta
Author: Guy Boothby
Release Date: May 29, 2007 [EBook #21640]
Language: English
Produced by Marilynda Fraser-Cunliffe, Mary Meehan and the Online Distributed Proofreading Team at http://www.pgdp.net
Originally published by:
WARD, LOCK & CO., LIMITED LONDON, MELBOURNE AND TORONTO 1918
PART I
PROLOGUE
The manager of the new Imperial Restaurant on the Thames Embankment went into his luxurious private office and shut the door. Having done so, he first scratched his chin reflectively, and then took a letter from the drawer in which it had reposed for more than two months and perused it carefully. Though he was not aware of it, this was the thirtieth time he had read it since breakfast that morning. And yet he was not a whit nearer understanding it than he had been at the beginning. He turned it over and scrutinized the back, where not a sign of writing was to be seen; he held it up to the window, as if he might hope to discover something from the water-mark; but there was nothing in either of these places of a nature calculated to set his troubled mind at rest. Then he took a magnificent repeater watch from his waistcoat pocket and glanced at the dial; the hands stood at half-past seven. He immediately threw the letter on the table, and as he did so his anxiety found relief in words.
“It’s really the most extraordinary affair I ever had to do with,” he remarked. “And as I’ve been in the business just three-and-thirty years at eleven a.m. next Monday morning, I ought to know something about it. I only hope I’ve done right, that’s all.”
As he spoke, the chief bookkeeper, who had the treble advantage of being tall, pretty, and just eight-and-twenty years of age, entered the room. She noticed the open letter and the look upon her chief’s face, and her curiosity was proportionately excited.
“You seem worried, Mr. McPherson,” she said tenderly, as she put down the papers she had brought in for his signature.
“You have just hit it, Miss O’Sullivan,” he answered, pushing them farther on to the table. “I am worried about many things, but particularly about this letter.”
He handed the epistle to her, and she, being desirous of impressing him with her business capabilities, read it with ostentatious care. But it was noticeable that when she reached the signature she too turned back to the beginning, and then deliberately read it over again. The manager rose, crossed to the mantelpiece, and rang for the head waiter. Having relieved his feelings in this way, he seated himself again at his writing-table, put on his glasses, and stared at his companion, while waiting for her to speak.
“It’s very funny,” she said.  “You see it is written from Cuyaba, Brazil. The date is three months ago to a day. Now I have taken the trouble to find out where and what Cuyaba is.”
He made this confession with an air of conscious pride, and having done so, laid himself back in his chair, stuck his thumbs into the armholes of his waistcoat, and looked at his fair subordinate for approval. Nor was he destined to be disappointed. He was a bachelor in possession of a snug income, and she, besides being pretty, was a lady with a keen eye to the main chance.
“And where is Cuyaba?” she asked humbly.
“Cuyaba,” he replied, rolling his tongue with considerable relish round his unconscious mispronunciation of the name, “is a town almost on the western or Bolivian border of Brazil. It is of moderate size, is situated on the banks of the river Cuyaba, and is considerably connected with the famous Brazilian Diamond Fields.”
“And does the writer of this letter live there?”
“I cannot say. He writes from there—that is enough for us.”
“And he orders dinner for four—here, in a private room overlooking the river, three months ahead—punctually at eight o’clock, gives you a list of the things he wants, and even arranges the decoration of the table. Says he has never seen either of his three friends before; that one of them hails from (here she consulted the letter again) Hang-chow, another from Bloemfontein, while the third resides, at present, in England. Each one is to present an ordinary visiting card with a red dot on it to the porter in the hall, and to be shown to the room at once. I don’t understand it at all.”
The manager paused for a moment, and then said deliberately,—”Hang-chow is in China, Bloemfontein is in South Africa.”
“What a wonderful man you are, to be sure, Mr. McPherson! I never can think how you manage to carry so much in your head.”
There spoke the true woman. And it was a move in the right direction, for the manager was susceptible to her gentle influence, as she had occasion to know.
At this juncture the head waiter appeared upon the scene, and took up a position just inside the doorway, as if he were afraid of injuring the carpet by coming farther.
“Is No. 22 ready, Williams?”
“Quite ready, sir. The wine is on the ice, and cook tells me he’ll be ready to dish punctual to the moment.”
“The letter says, ‘no electric light; candles with red shades.’ Have you put on those shades I got this morning?”
“Just seen it done this very minute, sir.”
“And let me see, there was one other thing.” He took the letter from the chief bookkeeper’s hand and glanced at it. “Ah, yes, a porcelain saucer, and a small jug of new milk upon the mantelpiece. An extraordinary request, but has it been attended to?”
“I put it there myself, sir.”
“Who wait?”
“Jones, Edmunds, Brooks, and Tomkins.”
“Very good. Then I think that will do. Stay! You had better tell the hall porter to look out for three gentlemen presenting plain visiting cards with a little red spot on them. Let Brooks wait in the hall, and when they arrive tell him to show them straight up to the room.”
“It shall be done, sir.”
The head waiter left the room, and the manager stretched himself in his chair, yawned by way of showing his importance, and then said solemnly,—
“I don’t believe they’ll any of them turn up; but if they do, this Dr. Nikola, whoever he may be, won’t be able to find fault with my arrangements.”
Then, leaving the dusty high road of Business, he and his companion wandered in the shady bridle-paths of Love—to the end that when the chief bookkeeper returned to her own department she had forgotten the strange dinner party about to take place upstairs, and was busily engaged upon a calculation as to how she would look in white satin and orange blossoms, and, that settled, fell to wondering whether it was true, as Miss Joyce, a subordinate, had been heard to declare, that the manager had once shown himself partial to a certain widow with reputed savings and a share in an extensive egg and dairy business.
At ten minutes to eight precisely a hansom drew up at the steps of the hotel. As soon as it stopped, an undersized gentleman, with a clean shaven countenance, a canonical corporation, and bow legs, dressed in a decidedly clerical garb, alighted. He paid and discharged his cabman, and then took from his ticket pocket an ordinary white visiting card, which he presented to the gold-laced individual who had opened the apron. The latter, having noted the red spot, called a waiter, and the reverend gentleman was immediately escorted upstairs.
Hardly had the attendant time to return to his station in the hall, before a second cab made its appearance, closely followed by a third. Out of the second jumped a tall, active, well-built man of about thirty years of age. He was dressed in evening dress of the latest fashion, and to conceal it from the vulgar gaze, wore a large Inverness cape of heavy texture. He also in his turn handed a white card to the porter, and, having done so, proceeded into the hall, followed by the occupant of the last cab, who had closely copied his example. This individual was also in evening dress, but it was of a different stamp. It was old-fashioned and had seen much use. The wearer, too, was taller than the ordinary run of men, while it was noticeable that his hair was snow-white, and that his face was deeply pitted with smallpox. After disposing of their hats and coats in an ante-room, they reached room No. 22, where they found the gentleman in clerical costume pacing impatiently up and down.
Left alone, the tallest of the trio, who for want of a better title we may call the Best Dressed Man, took out his watch, and having glanced at it, looked at his companions. “Gentlemen,” he said, with a slight American accent, “it is three minutes to eight o’clock. My name is Eastover!”
“I’m glad to hear it, for I’m most uncommonly hungry,” said the next tallest, whom I have already described as being so marked by disease. “My name is Prendergast!”
“We only wait for our friend and host,” remarked the clerical gentleman, as if he felt he ought to take a share in the conversation, and then, as an afterthought, he continued, “My name is Baxter!”
They shook hands all round with marked cordiality, seated themselves again, and took it in turns to examine the clock.
“Have you ever had the pleasure of meeting our host before?” asked Mr. Baxter of Mr. Prendergast.
“Never,” replied that gentleman, with a shake of his head. “Perhaps Mr. Eastover has been more fortunate?”
“Not I,” was the brief rejoinder. “I’ve had to do with him off and on for longer than I care to reckon, but I’ve never set eyes on him up to date.”
“And where may he have been the first time you heard from him?”
“In Nashville, Tennessee,” said Eastover. “After that, Tahupapa, New Zealand; after that, Papeete, in the Society Islands; then Pekin, China. And you?”
“First time, Brussels; second, Monte Video; third, Mandalay, and then the Gold Coast, Africa. It’s your turn, Mr. Baxter.”
The clergyman glanced at the timepiece. It was exactly eight o’clock. “First time, Cabul, Afghanistan; second, Nijni Novgorod, Russia; third, Wilcannia, Darling River, Australia; fourth, Valparaiso, Chili; fifth, Nagasaki, Japan.”
“He is evidently a great traveller and a most mysterious person.”
“He is more than that,” said Eastover with conviction; “he is late for dinner!”
Prendergast looked at his watch.
“That clock is two minutes fast. Hark, there goes Big Ben! Eight exactly.”
As he spoke the door was thrown open and a voice announced “Dr. Nikola.”
The three men sprang to their feet simultaneously, with exclamations of astonishment, as the man they had been discussing made his appearance.
It would take more time than I can spare the subject to give you an adequate and inclusive description of the person who entered the room at that moment. In stature he was slightly above the ordinary, his shoulders were broad, his limbs perfectly shaped and plainly muscular, but very slim.  His hands and feet were small, and the greatest dandy must have admitted that he was irreproachably dressed, with a neatness that bordered on the puritanical. In age he might have been anything from eight-and-twenty to forty; in reality he was thirty-three. He advanced into the room and walked with out-stretched hand directly across to where Eastover was standing by the fireplace.
“Mr. Eastover, I feel certain,” he said, fixing his glittering eyes upon the man he addressed, and allowing a curious smile to play upon his face.
“That is my name, Dr. Nikola,” the other answered with evident surprise. “But how on earth can you distinguish me from your other guests?”
“Ah! it would surprise you if you knew. And Mr. Prendergast, and Mr. Baxter. This is delightful; I hope I am not late. We had a collision in the Channel this morning, and I was almost afraid I might not be up to time. Dinner seems ready; shall we sit down to it?” They seated themselves, and the meal commenced. The Imperial Restaurant has earned an enviable reputation for doing things well, and the dinner that night did not in any way detract from its lustre. But, delightful as it all was, it was noticeable that the three guests paid more attention to their host than to his excellent menu. As they had said before his arrival, they had all had dealings with him for several years, but what those dealings were they were careful not to describe. It was more than possible that they hardly liked to remember them themselves.
When coffee had been served and the servants had withdrawn, Dr. Nikola rose from the table, and went across to the massive sideboard. On it stood a basket of very curious shape and workmanship. This he opened, and as he did so, to the astonishment of his guests, an enormous cat, as black as his master’s coat, leaped out on to the floor. The reason for the saucer and jug of milk became evident.
Seating himself at the table again, the host followed the example of his guests and lit a cigar, blowing a cloud of smoke luxuriously through his delicately chiselled nostrils. His eyes wandered round the cornice of the room, took in the pictures and decorations, and then came down to meet the faces of his companions. As they did so, the black cat, having finished its meal, sprang on to his shoulder to crouch there, watching the three men through the curling smoke drift with its green blinking, fiendish eyes. Dr. Nikola smiled as he noticed the effect the animal had upon his guests.
“Now shall we get to business?” he said briskly.
The others almost simultaneously knocked the ashes off their cigars and brought themselves to attention. Dr. Nikola’s dainty, languid manner seemed to drop from him like a cloak, his eyes brightened, and his voice, when he spoke, was clean cut as chiselled silver.
“You are doubtless anxious to be informed why I summoned you from all parts of the globe to meet me here to-night? And it is very natural you should be. But then, from what you know of me, you should not be surprised at anything I do.”
His voice dropped back into its old tone of gentle languor. He drew in a great breath of smoke and then sent it slowly out from his lips again. His eyes were half closed, and he drummed with one finger on the table edge. The cat looked through the smoke at the three men, and it seemed to them that he grew every moment larger and more ferocious. Presently his owner took him from his perch, and seating him on his knee fell to stroking his fur, from head to tail, with his long slim fingers. It was as if he were drawing inspiration for some deadly mischief from the uncanny beast.
“To preface what I have to say to you, let me tell you that this is by far the most important business for which I have ever required your help. (Three slow strokes down the centre of the back, and one round each ear.) When it first came into my mind I was at a loss who to trust in the matter. I thought of Vendon, but I found Vendon was dead. I thought of Brownlow, but Brownlow was no longer faithful. (Two strokes down the back and two on the throat.) Then bit by bit I remembered you. I was in Brazil at the time. So I sent for you. You came. So far so good.”
He rose, and crossed over to the fireplace. As he went the cat crawled back to its original position on his shoulder. Then his voice changed once more to its former business-like tone.
“I am not going to tell you very much about it. But from what I do tell you, you will be able to gather a great deal and imagine the rest. To begin with, there is a man living in this world to-day who has done me a great and lasting injury. What that injury is is no concern of yours. You would not understand if I told you. So we’ll leave that out of the question. He is immensely rich. His cheque for £300,000 would be honoured by his bank at any minute. Obviously he is a power. He has had reason to know that I am pitting my wits against his, and he flatters himself that so far he has got the better of me. That is because I am drawing him on. I am maturing a plan which will make him a poor and a very miserable man at one and the same time. If that scheme succeeds, and I am satisfied with the way you three men have performed the parts I shall call on you to play in it, I shall pay to each of you the sum of £10,000. If it doesn’t succeed, then you will each receive a thousand and your expenses. Do you follow me?”
It was evident from their faces that they hung upon his every word.
“But, remember, I demand from you your whole and entire labour. While you are serving me you are mine body and soul. I know you are trustworthy. I have had good proof that you are—pardon the expression—unscrupulous, and I flatter myself you are silent. What is more, I shall tell you nothing beyond what is necessary for the carrying out of my scheme, so that you could not betray me if you would. Now for my plans!”
He sat down again and took a paper from his pocket. Having perused it, he turned to Eastover.
“You will leave at once—that is to say, by the boat on Wednesday—for Sydney. You will book your passage to-morrow morning, first thing, and join her in Plymouth. You will meet me to-morrow evening at an address I will send you, and receive your final instructions. Good-night.”
Seeing that he was expected to go, Eastover rose, shook hands, and left the room without a word. He was too astonished to hesitate or to say anything.
Nikola took another letter from his pocket and turned to Prendergast. “You will go down to Dover to-night, cross to Paris to-morrow morning, and leave this letter personally at the address you will find written on it. On Thursday, at half-past two precisely, you will deliver me an answer in the porch at Charing Cross. You will find sufficient money in that envelope to pay all your expenses. Now go!”
“At half-past two you shall have your answer. Good-night.”
“Good-night.”
When Prendergast had left the room, Dr. Nikola lit another cigar and turned his attentions to Mr. Baxter.
“Six months ago, Mr. Baxter, I found for you a situation as tutor to the young Marquis of Beckenham. You still hold it, I suppose?”
“I do.”
“Is the father well disposed towards you?”
“In every way. I have done my best to ingratiate myself with him. That was one of your instructions.”
“Yes, yes! But I was not certain that you would succeed. If the old man is anything like what he was when I last met him he must still be a difficult person to deal with. Does the boy like you?”
“I hope so.”
“Have you brought me his photograph as I directed?”
“I have. Here it is.”
Baxter took a photograph from his pocket and handed it across the table.
“Good. You have done very well, Mr. Baxter. I am pleased with you. To-morrow morning you will go back to Yorkshire——”
“I beg your pardon, Bournemouth. His Grace owns a house near Bournemouth, which he occupies during the summer months.”
“Very well—then to-morrow morning you will go back to Bournemouth and continue to ingratiate yourself with father and son. You will also begin to implant in the boy’s mind a desire for travel. Don’t let him become aware that his desire has its source in you—but do not fail to foster it all you can. I will communicate with you further in a day or two. Now go.”
Baxter in his turn left the room. The door closed. Dr. Nikola picked up the photograph and studied it.
“The likeness is unmistakable—or it ought to be. My friend, my very dear friend, Wetherell, my toils are closing on you. My arrangements are perfecting themselves admirably. Presently, when all is complete, I shall press the lever, the machinery will be set in motion, and you will find yourself being slowly but surely ground into powder. Then you will hand over what I want, and be sorry you thought fit to baulk Dr. Nikola!”
He rang the bell and ordered his bill.  The porter inquired to what address he should order the cabman to drive. Dr. Nikola did not reply for a moment, then he said, as if he had been thinking something out: “The Green Sailor public-house, East India Dock Road.”
You can read the rest of “A Bid For Fortune; Or, Dr. Nikola’s Vendetta” at Open Library


A generic DITA topic. This should be used only if your content does not match a more specific DITA topic type, like a task for example.
For more information please see the oXygen XML Website.
A task should explain how to do a specific thing, showing the steps to take, etc...
Use the prolog section to provide meta-information using the data element.
Use the short description to expand the title, providing additional information about the content of the topic. It should always be composed of complete sentences and form a comprehensive thought.
Use sections to organize subsets of information that are directly related to a topic.
Use a definition list to provide definitions for specific terms. The term is
specified in a definition term (dt
element) and the
definition is marked with a definition description (dd
element).


Controller value is : {{value1}}
Controller value is : {{numbers}}
Controller value is : {{value1}}
Controller value is : {{numbers}}
$scope.value1 = 'Change me'; $scope.numbers = 123;
Controller value is : {{value1}}
Controller value is : {{numbers}}
$scope.value1 = 'Change me'; $scope.numbers = 123;


Menge Log
| initialized logger |
| Plugin path: D:\File\Project\Menge-0.9.2\Exe\plugins |
| Loading Menge core-simulation plugins... |
| Loaded: Dummy Pedestrian Model A simple example of a pedestrian model. The dummy model computes a new velocity by randomly perturbing the preferred velocity. |
| Loaded: GCF 2010 Pedestrian Model A pedestran plugin based on the generalized centifugal force model proposed in 2010 by Chraibi et al. |
| Loaded: Helbing 2000 Pedestrian Model A pedestran plugin based on the model proposed in 2000 by Helbing et al. |
| Loaded: Johansson 2007 Pedestrian Model A pedestran plugin based on the model proposed in 2007 by Johansson et al. |
| Loaded: Karamouzas 2009 Pedestrian Model A pedestran plugin based on the model proposed in 2009 by Karamouzas et al. |
| Loaded: Zanlungo Pedestrian Model A pedestran plugin based on the model proposed in 2011 by Zanlungo et al. |
| Loaded: Aircraft_utils Utilties for simulating aircraft loading and unloading including the following: Action "set_xproperty" - which sets properties according to the agent's position along the x-axis Condition "clear_AABB" - Transition into a state according to whether or not an AABB is clear |
| Loaded: formations Utilities for adding formations to ped simsincluding the following: Modifier "formation" - forces agents to move in formation. |
| Loaded: fundamental_diagram Velocity Modifier plugin for adherence to the Fundamental Diagramincluding the following: Modifier "fundamantal_diagram" - adjusts the agent's preferred velocity to match the FD. |
| Loaded: roadMapPlus Utilities for including the following: Modifier "roadMapPlus" - . |
| Loaded: StressGAS_utils Utilties for modelling stress according to the GAS model including the following: Action "timed_stress" - registers an agent to accumulate stress up to 100% stressed in a specified number of seconds. |
| Loaded: Terrain_utils Simulation elements based on a height field including: Elevation element HeightField resource HeightField velocity modifier |
| Parsing project XML: D:\File\Project\Menge-0.9.2\examples\Evacuation_v3\Evacuation.xml |
| Project root: D:\File\Project\Menge-0.9.2\examples\Evacuation_v3 |
| Scene root: D:\File\Project\Menge-0.9.2\examples\Evacuation_v3. |
| Missing the "dist" attribute on line 38 |
| Agent generator on line 38 has no valid noise definition. No noise applied. |
| Loading behavior from xml: D:\File\Project\Menge-0.9.2\examples\Evacuation_v3\EvacuationB.xml |
| Behavior root: D:\File\Project\Menge-0.9.2\examples\Evacuation_v3 |
| Expecting a missing size_t attribute (capacity) on line 20. Using default value:<PHONE_NUMBER>3709551615. |
| Expecting a missing float attribute (weight) on line 20. Using default value: 1. |
| Expecting a missing boolean attribute (persistent) on line 24. Using default value: 0. |
| OMP ENABLED! |
| Caching roadmap A* data for 12 threads |
| Expecting a missing boolean attribute (exit_reset) on line 26. Using default value: 1. |
| Missing the "dist" attribute on line 26 |
| Expecting a missing float distribution specification "neighbor_dist_" on line 26.Using a const distribution with value : -0.0402. |
| Missing the "dist" attribute on line 26 |
| Expecting a missing float distribution specification "max_neighbors_" on line 26.Using a const distribution with value : -0.188. |
| Missing the "dist" attribute on line 26 |
| Expecting a missing float distribution specification "radius_" on line 26.Using a const distribution with value : 0.6675. |
| Missing the "dist" attribute on line 26 |
| Expecting a missing float distribution specification "pref_speed_" on line 26.Using a const distribution with value : 0.684. |
| Missing the "dist" attribute on line 26 |
| Expecting a missing float distribution specification "time_horizon_" on line 26.Using a const distribution with value : -0.202. |
| Missing the "dist" attribute on line 26 |
| Expecting a missing float distribution specification "cool_duration_" on line 26.Using a const distribution with value : 5. |
| Expecting a missing boolean attribute (persistent) on line 36. Using default value: 0. |
| Expecting a missing boolean attribute (persistent) on line 41. Using default value: 0. |
| There are 1 registered tasks. |
| No elevation implementation specified. Using "flat" implementation. |
| For logical time step: 0.1 and 0 sub steps, effective time step is: 0.1 |
| Initializing visualization... |
| Loading Menge visualization plugins... |
| Could not find exported function |
| Failed loading D:\File\Project\Menge-0.9.2\Exe\plugins\AgtDummy.dll as a plug-in |
| Loaded: GCF 2010 Pedestrian Model A pedestran plugin based on the generalized centifugal force model proposed in 2010 by Chraibi et al. |
| Loaded: Helbing 2000 Pedestrian Model A pedestran plugin based on the model proposed in 2000 by Helbing et al. |
| Could not find exported function |
| Failed loading D:\File\Project\Menge-0.9.2\Exe\plugins\AgtJohansson.dll as a plug-in |
| Could not find exported function |
| Failed loading D:\File\Project\Menge-0.9.2\Exe\plugins\AgtKaramouzas.dll as a plug-in |
| Loaded: Zanlungo Pedestrian Model A pedestran plugin based on the model proposed in 2011 by Zanlungo et al. |


on-finished
Execute a callback when a HTTP request closes, finishes, or errors.
Install
$ npm install on-finished
API
var onFinished = require('on-finished')
onFinished(res, listener)
Attach a listener to listen for the response to finish. The listener will be invoked only once when the response finished. If the response finished to an error, the first argument will contain the error. If the response has already finished, the listener will be invoked.
Listening to the end of a response would be used to close things associated with the response, like open files.
Listener is invoked as listener(err, res)
.
onFinished(res, function (err, res) {
// clean up open fds, etc.
// err contains the error is request error'd
})
onFinished(req, listener)
Attach a listener to listen for the request to finish. The listener will be invoked only once when the request finished. If the request finished to an error, the first argument will contain the error. If the request has already finished, the listener will be invoked.
Listening to the end of a request would be used to know when to continue after reading the data.
Listener is invoked as listener(err, req)
.
var data = ''
req.setEncoding('utf8')
res.on('data', function (str) {
data += str
})
onFinished(req, function (err, req) {
// data is read unless there is err
})
onFinished.isFinished(res)
Determine if res
is already finished. This would be useful to check and
not even start certain operations if the response has already finished.
onFinished.isFinished(req)
Determine if req
is already finished. This would be useful to check and
not even start certain operations if the request has already finished.
Special Node.js requests
HTTP CONNECT method
The meaning of the CONNECT
method from RFC 7231, section 4.3.6:
The CONNECT method requests that the recipient establish a tunnel to the destination origin server identified by the request-target and, if successful, thereafter restrict its behavior to blind forwarding of packets, in both directions, until the tunnel is closed. Tunnels are commonly used to create an end-to-end virtual connection, through one or more proxies, which can then be secured using TLS (Transport Layer Security, [RFC5246]).
In Node.js, these request objects come from the 'connect'
event on
the HTTP server.
When this module is used on a HTTP CONNECT
request, the request is
considered “finished” immediately, due to limitations in the Node.js
interface. This means if the CONNECT
request contains a request entity,
the request will be considered “finished” even before it has been read.
There is no such thing as a response object to a CONNECT
request in
Node.js, so there is no support for for one.
HTTP Upgrade request
The meaning of the Upgrade
header from RFC 7230, section 6.1:
The “Upgrade” header field is intended to provide a simple mechanism for transitioning from HTTP/1.1 to some other protocol on the same connection.
In Node.js, these request objects come from the 'upgrade'
event on
the HTTP server.
When this module is used on a HTTP request with an Upgrade
header, the
request is considered “finished” immediately, due to limitations in the
Node.js interface. This means if the Upgrade
request contains a request
entity, the request will be considered “finished” even before it has been
read.
There is no such thing as a response object to a Upgrade
request in
Node.js, so there is no support for for one.
Example
The following code ensures that file descriptors are always closed once the response finishes.
var destroy = require('destroy')
var http = require('http')
var onFinished = require('on-finished')
http.createServer(function onRequest(req, res) {
var stream = fs.createReadStream('package.json')
stream.pipe(res)
onFinished(res, function (err) {
destroy(stream)
})
})


'You've seen me in Sainsbury's, haven't you?': What we learned from Tomas Kalas' Bristol City Q&A
The defender's admits his choice of toast topping is 'creepy'
by Max BakerEvery fan loves to get inside the head of a footballer.
Getting the inside knowledge of what goes on in the changing room and on the training pitch is every fans dream - but what about the important things?
Never mind the pre-match mentality of Tomas Kalas, what does he put on his toast? And what supermarket does he shop in?
The City defender recently took part in a Q&A, which was posted on the Bristol City Twitter feed, and fielded some bizarre questions from City fans.
Here are the highlights form the big Czech whose dry wit ensures he remains one of the most endearing characters in the Robins dressing room.
1. Nandos order
"Two medium double or single chicken wraps, depends on when I ate last. Halloumi sticks on the side and a fizzy drink."
2. Does pineapple belong on pizza?
"Yeah, in my world it does. Whatever you like, put it on pizza!"
3. Describe your perfect Sunday
"Doing absolutely nothing. Wake up around 11am-1pm. Get something to eat and do nothing - unless there is golf planned.
"That will get me out of bed."
4. Who do you room with on away trips?
"This year it's Nathan Baker. My brother from another mother."
5. What supermarket do you shop in?
"You've seen me in Sainsbury's by the stadium haven't you?"
6. Is a hot dog a sandwich?
"No, a hot dog isn't a sandwich? Is it? No for me it isn't, it's a sausage in a bread roll."
7. Scariest thing you've ever done?
"When I was younger I used to go hiking with my father into Slovakian mountains and one day we got near to the top and it started to snow and got windy.
"We were supposed to go over a really narrow lane with a 300-metre fall on the left and right with nothing to hold on to.
"I'd say that was pretty scary."
8. What do you have on toast?
"Definitely not Marmite! I would have cream cheese, but loads of it.
"A bit creepy, but I'd also put tomato ketchup on it and a ton of ham. So basically that's me being a werido."
9. Thatchers Gold or Haze?
"Any Thatchers. Probably Haze, if it's the one from cloudy apples."
10. How many teams in Bristol?
"Just one. The red one. Nobody is a Bristol Rovers fan."
Get lots more news, opinion and transfer updates on our Bristol City FC page and add a bookmark to find it quickly next time.


Drag components to...
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append
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Inline radios
Option 0
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Option one
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Option 0
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Multiple checkboxes
Option one
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help
Select Single
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help
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File Button
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You can find us at one of our many Washington locations
First and Pike - SeaTac Airport - Seattle Center
Captiol Hill - Alki


Naturally, the moment I heard of Mandela's death, I wondered what Bono had thought of him. Turns out he approved..
Tom Holland reacts to the news. As does Rod Liddle:
for Christ's sake BBC, give it a bloody break for five minutes, will you?   Let's re-run the entire history of South Africa. That's better than watching the country we're in being flattened by a storm.


Functions for statistical inference of canonical vine (C-vine) and D-vine copulas. Tools for bivariate exploratory data analysis and for bivariate as well as vine copula selection are provided. Models can be estimated either sequentially or by joint maximum likelihood estimation. Sampling algorithms and plotting methods are also included. Data is assumed to lie in the unit hypercube (so-called copula data).
| Version: | 1.4 |
| Depends: | R (≥ 2.11.0) |
| Imports: | MASS, mvtnorm, graphics, igraph, stats |
| Published: | 2015-10-29 |
| Author: | Ulf Schepsmeier, Eike Christian Brechmann |
| Maintainer: | Tobias Erhardt <tobias.erhardt at tum.de> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | CDVine citation info |
| Materials: | ChangeLog |
| In views: | Distributions |
| CRAN checks: | CDVine results |
| Reference manual: | CDVine.pdf |
| Package source: | CDVine_1.4.tar.gz |
| Windows binaries: | r-devel: CDVine_1.4.zip, r-release: CDVine_1.4.zip, r-oldrel: CDVine_1.4.zip |
| OS X binaries: | r-release: CDVine_1.4.tgz, r-oldrel: CDVine_1.4.tgz |
| Old sources: | CDVine archive |
| Reverse depends: | ESGtoolkit |
| Reverse imports: | SemiParSampleSel |
| Reverse suggests: | VineCopula |
Please use the canonical form https://CRAN.R-project.org/package=CDVine to link to this page.


Finally find out if there's life on Mars...and how much longer it has to live!
Enter your age:
Enter your life expectancy:
Calculate my ages


US President Donald Trump to visit UK ahead of General Election
by Jessica ClarkUS President Donald Trump will make a visit to the UK ahead of the General Election next month.
Trump will visit from Monday, 2 December to Wednesday, 4 December for a Nato meeting, according to reports.
More to follow


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--- layout: post title: "My Week in Review" date: 2016-10-02 05:05:00 +0000 tags: image: https://s3.amazonaws.com/audreywatters/2016-10-02-gull.jpg imagecredits: https://www.flickr.com/photos/r_m_photographi/16037412243 ---
Icon credits: The Noun Project


Blink of an Eye is an interactive window display centered around the theme of time.
The installation flashes your life before your eyes.
Text the number your Instagram handle to see
your (social) life flash before your eyes. The eye will blink and flash your Instagram photos to give you a glimpse into
your past and allow you to relive memories in real-time.
By using the Twilio platform, the onlooker texts the specified number their Instagram account (handle)
The algorithm then scrapes your instagram account for those lovely pictures you've decided to post
Once the images have been accessed, the system then grabs them and displays them back to the user
The eye will blink before displaying the images to the user, and then blink again once it is done
Co-creator
Brooklyn-based interaction and experience designer, who's passionate about immersive experiences, creative storytelling and exploring the imaginative use of new technologies.
Paula’s work has been featured in Engadget, Crossfader magazine, Harvard Divinity School, MEX Design Podcast, Observer, and more.
Co-creator
Bangkok-born, New York transplant, visual and UI / UX designer. She enjoys applying multidisciplinary design and delivering crafted solutions to users. She is currently exploring the boundaries between design, science and technology as a way to create positive behavioural change. On her free time, she often enjoys paper crafting, cooking Thai food and watching dogs in the park.


Density Curves
16 Aug 2014The default graphical display of most plotting functions in R is very limited (and usually not very pretty). But that doesn't mean that we should conform with those crude figures.
A Basic Plot Example
For this post I'll use a simple example by plotting density curves of some random generated variables. For instance, let's generate three normal distributions with different parameters, and their corresponding estimated densities:
# setting seed for random numbers
set.seed(1111)
# random normal variables
var1 = rnorm(500)
var2 = rnorm(500, 1, 1.5)
var3 = rnorm(500, -1, 1.5)
# densities
den1 = density(var1)
den2 = density(var2)
den3 = density(var3)
We can plot each of the densities with the function plot()
which displays a very raw figure. These displays are good for quick visual inspection, but they are very limited for anything else (especially if we plan to include them in some slides for presentation purposes)
# individual density plots
plot(den1)
plot(den2)
plot(den3)
Improved Plots
Of course, we can write some lines of code to substantially improve our graphics. First, let's define some colors for each distribution using the function hsv()
# colors for each distribution
col1 = hsv(h = 0.65, s = 0.6, v = 0.8, alpha = 0.5)
col2 = hsv(h = 0.85, s = 0.6, v = 0.8, alpha = 0.5)
col3 = hsv(h = 0.55, s = 0.6, v = 0.8, alpha = 0.5)
And now let's combine them in a single graphic tweaking the right parameters to produce a visually aesthetic plot:
# set graphic margins
op = par(mar = c(3, 3, 2, 2))
# call new plot
plot.new()
# plot window
plot.window(xlim = c(-6, 6), ylim = c(0, 0.4))
# add axes
axis(side = 1, pos = 0, at = seq(from = -6, to = 6, by = 2), col = "gray20",
lwd.ticks = 0.25, cex.axis = 1, col.axis = "gray20", lwd = 1.5)
axis(side = 2, pos = -6, at = seq(from = 0, to = 0.4, by = 0.1), col = "gray20",
las = 2, lwd.ticks = 0.5, cex.axis = 1, col.axis = "gray20", lwd = 1.5)
# density 1
polygon(den1$x, den1$y, col = col1, border = col1)
# density 2
polygon(den2$x, den2$y, col = col2, border = col2)
# density 3
polygon(den3$x, den3$y, col = col3, border = col3)
# add legends
text(1.3, 0.35, labels = "Normal(0, 1)", col = "gray30", cex = 0.9)
text(3.8, 0.15, labels = "Normal(1, 1.5)", col = "gray30", cex = 0.9)
text(-3.6, 0.15, labels = "Normal(-1, 1.5)", col = "gray30", cex = 0.9)
# turn off par
par(op)
Using ggplot2
We can also use the package "ggplot2"
to obtain a similar graphic. Here's how:
# data frame with normal variables
distribs = data.frame(
values = c(var1, var2, var3),
type = gl(n = 3, k = 500))
# load ggplot2
library(ggplot2)
# plot
ggplot(data = distribs, aes(x = values, group = type)) +
geom_density(aes(fill = type, color = type), alpha = 0.5)


Barge grounded on Quadra Island won’t be refloated before weekend
by Louise DicksonAn attempt to refloat the massive barge that ran aground on Quadra Island Saturday evening will not take place before the weekend.
In a statement today, Transport Canada said it is working with the owner and a salvage contractor overseeing plans to refloat the Nana Provider. The department said it’s making sure the salvage contractor is aware of the water depths, environment and tidal currents in Discovery Passage as it develops a plan.
Transport Canada is also investigating how the barge managed to run aground on the rocks on the southwest coast of the island, north of Cape Mudge.
The Nana Provider was heading to Alaska when it hit rocks and damaged its hull.
The barge was being pulled by a tugboat and was headed toward Whittier.
The six people on board the tugboat were uninjured and the tug was not damaged.
There are three loaded rail cars on board the Nana Provider — one contains compressed carbon dioxide, while the other two contain a corrosion inhibitor. All other rail cars and containers are empty, as is the hull.
No pollution has been seen. The Canadian Coast Guard has said the situation is stable and there is little risk of pollution, as the cars are individually secured and raised above deck.
A coast guard vessel remains at the scene to monitor the situation and ensure public safety.


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Pakistan innings (50 overs maximum) |
R |
M |
B |
4s |
6s |
SR |
|
Imran Farhat |
c DJ Bravo b Roach |
2 |
2 |
6 |
0 |
0 |
33.33 |
|
0.6 Bravo the captain.  Nothing shot really. Pushes at a length ball, away from the body. It angles away, takes a healthy edge, and is headed for a comfortable take for Gayle at first slip when Bravo dives to his right and takes it one-handed 2/1
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Nasir Jamshed |
c Rampaul b Narine |
50 |
127 |
93 |
5 |
0 |
53.76 |
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29.2 Jamshed has thrown it away. This is not what Pakistan do. I think he is trying to drive this inside-out over cover, but he hasn't reached the pitch of the ball and ends up lobbing it to Rampaul at long-off 105/4
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|
Mohammad Hafeez |
b Roach |
4 |
16 |
9 |
1 |
0 |
44.44 |
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4.3 Roach strikes back. Timber. Goes wide of the crease, fires in a quick full delivery. There is no swing or seam on this, but Hafeez has completely missed the line. Hit plumb on the back foot before the ball ricochets onto the stumps 14/2
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Asad Shafiq |
c Rampaul b Roach |
0 |
8 |
4 |
0 |
0 |
0.00 |
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6.1 the short ball has got Shafiq. Hit on the glove once, hit on the shoulder of the bat once, and now he has cut this straight to third man. Roach bounces him again, it is about shoulder high, with a short leg in place. Shafiq hasn't been leaving them alone, and the fend with a short leg in place can be dangerous. So he cuts, and cuts in the air, straight down third man's throat. Superb move to bring the short leg in 15/3
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|
Misbah-ul-Haq* |
not out |
96 |
187 |
127 |
5 |
3 |
75.59 |
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Shoaib Malik |
c DJ Bravo b Narine |
0 |
4 |
1 |
0 |
0 |
0.00 |
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29.5 soft dismissal. Golden duck. good field placement, though. Hard hands by Malik as the ball dips on him, he fails to keep it down and Bravo takes the catch at short midwicket 106/5
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|
Kamran Akmal† |
c †Ramdin b Narine |
2 |
12 |
8 |
0 |
0 |
25.00 |
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31.5 carrom ball. Akmal has not picked it, and has edged it. It is short, Akmal thinks he can cut it, but he is playing for the offbreak, and thus ends up edging it off the lower part of the bat 110/6
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Wahab Riaz |
run out (DJ Bravo) |
6 |
19 |
14 |
0 |
0 |
42.85 |
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36.1 DJ Bravo to Misbah-ul-Haq, Wahab is run out for backing up too far. Slower ball, on off, driven hard and back down the ground. Bravo stretches out to try to field, and gets a touch on it. The ball hits the stumps at the non-striker's end, and Riaz is well out. Please don't call this unfortunate. If you are backing up, you are open to consequences 128/7
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Saeed Ajmal |
run out (Pollard/Rampaul) |
2 |
8 |
3 |
0 |
0 |
66.66 |
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37.5 Rampaul to Misbah-ul-Haq, Ajmal is run out. heaved away straight to Pollard at midwicket, Ajmal wants one, but Misbah doesn't want it, and Ajmal is caught in the middle of the wicket 136/8
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Junaid Khan |
c Gayle b DJ Bravo |
0 |
11 |
9 |
0 |
0 |
0.00 |
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40.3 Gayle, you beauty. Slower offcutter, Junaid sees a flighted delivery and can't hold himself back. The edge seems it is flying over slip, but Gayle takes a couple of steps back and takes it overhead and behind his body. Superb catch. As he is falling down, he makes sure he doesn't land on his elbow, which can make the ball pop out 138/9
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Mohammad Irfan |
c DJ Bravo b Rampaul |
2 |
31 |
14 |
0 |
0 |
14.28 |
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47.6 Rampaul, you century-denier, you. The perfect short ball, towards Irfan's chest, he can't get out of its way, and gloves it up in the air. Taken nonchalantly at that short leg. Spare a thought for Misbah. Irfan fought hard to help his captain, and is gutted 170/10
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Extras |
(lb 1, w 5) |
6 | | | | | |
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Total |
(all out; 48 overs) |
170 |
(3.54 runs per over) |
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Bowling |
O |
M |
R |
W |
Econ |
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KAJ Roach |
10 |
4 |
28 |
3 |
2.80 |
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0.6 to Imran Farhat, Bravo the captain.  Nothing shot really. Pushes at a length ball, away from the body. It angles away, takes a healthy edge, and is headed for a comfortable take for Gayle at first slip when Bravo dives to his right and takes it one-handed 2/1
4.3 to Mohammad Hafeez, Roach strikes back. Timber. Goes wide of the crease, fires in a quick full delivery. There is no swing or seam on this, but Hafeez has completely missed the line. Hit plumb on the back foot before the ball ricochets onto the stumps 14/2
6.1 to Asad Shafiq, the short ball has got Shafiq. Hit on the glove once, hit on the shoulder of the bat once, and now he has cut this straight to third man. Roach bounces him again, it is about shoulder high, with a short leg in place. Shafiq hasn't been leaving them alone, and the fend with a short leg in place can be dangerous. So he cuts, and cuts in the air, straight down third man's throat. Superb move to bring the short leg in 15/3
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R Rampaul |
10 |
0 |
39 |
1 |
3.90 |
(5w) |
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47.6 to Mohammad Irfan, Rampaul, you century-denier, you. The perfect short ball, towards Irfan's chest, he can't get out of its way, and gloves it up in the air. Taken nonchalantly at that short leg. Spare a thought for Misbah. Irfan fought hard to help his captain, and is gutted 170/10
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DJ Bravo |
9 |
0 |
29 |
1 |
3.22 |
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40.3 to Junaid Khan, Gayle, you beauty. Slower offcutter, Junaid sees a flighted delivery and can't hold himself back. The edge seems it is flying over slip, but Gayle takes a couple of steps back and takes it overhead and behind his body. Superb catch. As he is falling down, he makes sure he doesn't land on his elbow, which can make the ball pop out 138/9
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MN Samuels |
5 |
0 |
17 |
0 |
3.40 |
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SP Narine |
10 |
1 |
34 |
3 |
3.40 |
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29.2 to Nasir Jamshed, Jamshed has thrown it away. This is not what Pakistan do. I think he is trying to drive this inside-out over cover, but he hasn't reached the pitch of the ball and ends up lobbing it to Rampaul at long-off 105/4
29.5 to Shoaib Malik, soft dismissal. Golden duck. good field placement, though. Hard hands by Malik as the ball dips on him, he fails to keep it down and Bravo takes the catch at short midwicket 106/5
31.5 to Kamran Akmal, carrom ball. Akmal has not picked it, and has edged it. It is short, Akmal thinks he can cut it, but he is playing for the offbreak, and thus ends up edging it off the lower part of the bat 110/6
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KA Pollard |
4 |
0 |
22 |
0 |
5.50 |
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West Indies innings (target: 171 runs from 50 overs) |
R |
M |
B |
4s |
6s |
SR |
|
CH Gayle |
b Saeed Ajmal |
39 |
80 |
47 |
4 |
1 |
82.97 |
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16.6 the doosra. Gayle has not picked it. On a length, outside off, Gayle wants to go back over the bowler's head, but the ball turns in to beat the inside edge by a mile and hits the middle stump 78/3
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J Charles |
c Wahab Riaz b Mohammad Irfan |
9 |
12 |
14 |
2 |
0 |
64.28 |
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2.4 Charles plays at this without looking at this. This is a bouncer, headed towards his helmet, Charles is looking towards mid-on when he hooks it. Taken at fine leg 11/1
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DM Bravo |
c †Kamran Akmal b Mohammad Irfan |
0 |
8 |
4 |
0 |
0 |
0.00 |
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4.2 Irfan you tall beauty. This is good short-pitched bowling. We might still have a cracker tonight. That is hardly short of a length, but has risen towards the chest, and Bravo tries to drop his bottom hand while fending, but ends up edging it behind 15/2
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MN Samuels |
st †Kamran Akmal b Mohammad Hafeez |
30 |
93 |
57 |
3 |
0 |
52.63 |
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25.1 Hafeez has got the huge wicket. Samuels has run past one. Quick ball, outside off, on a length, drifts away from Samuels to leave his stranded. Superb bowling. No turn, just the drift away, and the quick pace 94/5
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RR Sarwan |
c †Kamran Akmal b Wahab Riaz |
1 |
4 |
2 |
0 |
0 |
50.00 |
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17.6 terrific delivery. Dug in short, but not too short, gets it to rise higher than the chest. Sarwan is fending uncomfortably, and edges it through to the keeper. Never in control of the bounce. What a match this is turning out to be 81/4
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KA Pollard |
c †Kamran Akmal b Wahab Riaz |
30 |
78 |
58 |
3 |
1 |
51.72 |
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35.3 Riaz strikes. This game is alive still. Extra bounce for Riaz. He has bowled his heart out today. Short of a length, steep bounce, on off, rises towards the chest again, and takes the edge through. Shoulder of the bat. A good restrained hand from Pollard 137/6
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DJ Bravo* |
lbw b Saeed Ajmal |
19 |
57 |
36 |
0 |
0 |
52.77 |
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36.5 brain fade for Bravo. He has batted so well for so long, so calmly, but sees this flighted delivery and throws the works at it. This is cleverly bowled. Slow through the air, flighted, dipping, turning in from outside off.  This is plumb. Bravo reviews it because he is the last recognised batsman, but this is plumb. Game on 143/7
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D Ramdin† |
not out |
11 |
29 |
14 |
1 |
0 |
78.57 |
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SP Narine |
c †Kamran Akmal b Mohammad Irfan |
11 |
14 |
8 |
2 |
0 |
137.50 |
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39.2 Pakistan stay alive. This game stays alive. Long live ODI. Narine backs away to drive, the ball is not short enough, the extra bounce gets the edge. Akmal hasn't dropped anything today, he is not about to now 165/8
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KAJ Roach |
not out |
5 |
7 |
6 |
1 |
0 |
83.33 |
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Extras |
(lb 10, w 5, nb 2) |
17 | | | | | |
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Total |
(8 wickets; 40.4 overs) |
172 |
(4.22 runs per over) |
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Bowling |
O |
M |
R |
W |
Econ |
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Mohammad Irfan |
9 |
0 |
32 |
3 |
3.55 |
(1nb, 1w) |
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2.4 to Charles, Charles plays at this without looking at this. This is a bouncer, headed towards his helmet, Charles is looking towards mid-on when he hooks it. Taken at fine leg 11/1
4.2 to DM Bravo, Irfan you tall beauty. This is good short-pitched bowling. We might still have a cracker tonight. That is hardly short of a length, but has risen towards the chest, and Bravo tries to drop his bottom hand while fending, but ends up edging it behind 15/2
39.2 to Narine, Pakistan stay alive. This game stays alive. Long live ODI. Narine backs away to drive, the ball is not short enough, the extra bounce gets the edge. Akmal hasn't dropped anything today, he is not about to now 165/8
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Junaid Khan |
7.4 |
0 |
36 |
0 |
4.69 |
(1w) |
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Saeed Ajmal |
10 |
1 |
38 |
2 |
3.80 |
(1w) |
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16.6 to Gayle, the doosra. Gayle has not picked it.  He has batted so well for so long, so calmly, but sees this flighted delivery and throws the works at it. This is cleverly bowled. Slow through the air, flighted, dipping, turning in from outside off.  This is plumb. Bravo reviews it because he is the last recognised batsman, but this is plumb. Game on 143/7
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Wahab Riaz |
10 |
1 |
42 |
2 |
4.20 |
(1nb, 2w) |
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17.6 to Sarwan, terrific delivery. Dug in short, but not too short, gets it to rise higher than the chest. Sarwan is fending uncomfortably, and edges it through to the keeper. Never in control of the bounce. What a match this is turning out to be 81/4
35.3 to Pollard, Riaz strikes. This game is alive still. Extra bounce for Riaz. He has bowled his heart out today. Short of a length, steep bounce, on off, rises towards the chest again, and takes the edge through. Shoulder of the bat. A good restrained hand from Pollard 137/6
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|
Mohammad Hafeez |
4 |
0 |
14 |
1 |
3.50 |
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25.1 to Samuels, Hafeez has got the huge wicket. Samuels has run past one. Quick ball, outside off, on a length, drifts away from Samuels to leave his stranded. Superb bowling. No turn, just the drift away, and the quick pace 94/5
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| Match notes |
- Pakistan innings
- Powerplay 1: Overs 0.1 - 10.0 (Mandatory - 23 runs, 3 wickets)
- Over 8.5: Review by West Indies (Bowling), Umpire - SJ Davis, Batsman - Misbah-ul-Haq (Struck down)
- Drinks: Pakistan - 40/3 in 15.0 overs (Nasir Jamshed 21, Misbah-ul-Haq 9)
- Pakistan: 50 runs in 17.5 overs (107 balls), Extras 4
- 4th Wicket: 50 runs in 93 balls (Nasir Jamshed 27, Misbah-ul-Haq 22, Ex 1)
- Pakistan: 100 runs in 27.6 overs (168 balls), Extras 4
- Nasir Jamshed: 50 off 91 balls (5 x 4)
- Drinks: Pakistan - 108/5 in 31.0 overs (Misbah-ul-Haq 47, Kamran Akmal 1)
- Misbah-ul-Haq: 50 off 71 balls (3 x 4, 1 x 6)
- Powerplay 2: Overs 35.1 - 40.0 (Batting side - 14 runs, 2 wickets)
- Pakistan: 150 runs in 44.2 overs (266 balls), Extras 5
- Innings Break: Pakistan - 170/10 in 48.0 overs (Misbah-ul-Haq 96)
- West Indies innings
- Rain: West Indies - 0/0
- Powerplay 1: Overs 0.1 - 10.0 (Mandatory - 49 runs, 2 wickets)
- West Indies: 50 runs in 10.1 overs (61 balls), Extras 7
- 3rd Wicket: 50 runs in 65 balls (CH Gayle 26, MN Samuels 16, Ex 8)
- Drinks: West Indies - 72/2 in 16.0 overs (CH Gayle 34, MN Samuels 21)
- West Indies: 100 runs in 27.1 overs (164 balls), Extras 11
- Drinks: West Indies - 113/5 in 31.0 overs (KA Pollard 16, DJ Bravo 7)
- Powerplay 2: Overs 35.1 - 40.0 (Batting side - 32 runs, 3 wickets)
- Over 36.5: Review by West Indies (Batting), Umpire - SJ Davis, Batsman - DJ Bravo (Struck down)
- West Indies: 150 runs in 37.4 overs (227 balls), Extras 12
|


This SRFI specifies an array mechanism for
Scheme. Arrays as defined here are quite general; at their most basic, an
array is simply a mapping, or function, from multi-indices of exact
integers $i_0,\ldots,i_{d-1}$ to Scheme values. The set of multi-indices
$i_0,\ldots,i_{d-1}$ that are valid for a given array form the
domain of the array. In this SRFI, each array's domain consists of
a rectangular interval
$[l_0,u_0)\times[l_1,u_1)\times\cdots\times[l_{d-1},u_{d-1})$, a subset
of $\mathbb Z^d$, $d$-tuples of integers. Thus, we introduce a data type
called intervals, which encapsulate the cross product of nonempty
intervals of exact integers. Specialized variants of arrays are specified
to provide portable programs with efficient representations for common
use cases.


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